Author: "Qi Yong" / Topic: business.industry - Searchworks@Jio Institute Digital Library Search Results

146 results on '"Qi Yong"'

1. Combination of renoportal anastomosis and inferior mesenteric vein-portal anastomosis in liver transplantation: A new portal reconstruction technique

Author: Jian-Fang Lu, Qi-Yong Li, Yu Yang, Guo-Ling Lin, Min Xiao, Meng-Xia Li, Li Zhuang, and Shusen Zheng
Subjects: medicine.medical_specialty, Hepatology, Portal Vein, business.industry, medicine.medical_treatment, Anastomosis, Surgical, Gastroenterology, Liver transplantation, Anastomosis, Liver Transplantation, Surgery, Mesenteric Veins, Renoportal anastomosis, Humans, Inferior mesenteric vein, Medicine, business, Vascular Surgical Procedures
Published: 2022
Full Text: View/download PDF

2. A convolutional neural network combined with positional and textural attention for the fully automatic delineation of primary nasopharyngeal carcinoma on non-contrast-enhanced MRI

Author: Lin Shi, Edwin P. Hui, Macy Tong, Lun M. Wong, Brigette B.Y. Ma, Ann D. King, Darren M.C. Poon, and Qi-Yong Ai
Subjects: medicine.diagnostic_test, Wilcoxon signed-rank test, Computer science, business.industry, Pattern recognition, Magnetic resonance imaging, medicine.disease, Convolutional neural network, Surface distance, Nasopharyngeal carcinoma, Fully automatic, medicine, Original Article, Radiology, Nuclear Medicine and imaging, Non contrast enhanced, Artificial intelligence, business, Reference standards
Abstract: BACKGROUND: Convolutional neural networks (CNNs) have the potential to automatically delineate primary nasopharyngeal carcinoma (NPC) on magnetic resonance imaging (MRI), but currently, the literature lacks a module to introduce valuable pre-computed features into a CNN. In addition, most CNNs for primary NPC delineation have focused on contrast-enhanced MRI. To enable the use of CNNs in clinical applications where it would be desirable to avoid contrast agents, such as cancer screening or intra-treatment monitoring, we aim to develop a CNN algorithm with a positional-textural fully-connected attention (FCA) module that can automatically delineate primary NPCs on contrast-free MRI. METHODS: This retrospective study was performed in 404 patients with NPC who had undergone staging MRI. A proposed CNN algorithm incorporated with our positional-textural FCA module (A(proposed)) was trained on manually delineated tumours (M(1st)) to automatically delineate primary NPCs on non-contrast-enhanced T2-weighted fat-suppressed (NE-T2W-FS) images. The performance of A(proposed), three well-established CNNs, Unet (A(unet)), Attention-Unet (A(att)) and Dense-Unet (A(dense)), and a second manual delineation repeated to evaluate human variability (M(2)(nd)) were measured by comparing to the reference standard M(1)(st) to obtain the Dice similarity coefficient (DSC) and average surface distance (ASD). The Wilcoxon rank test was used to compare the performance of A(proposed) against A(unet), A(att), A(dense) and M(2)(nd). RESULTS: A(proposed) showed a median DSC of 0.79 (0.10) and ASD of 0.66 (0.84) mm. It performed better than the well-established networks A(unet) [DSC =0.75 (0.12) and ASD =1.22 (1.73) mm], A(att) [DSC =0.75 (0.10) and ASD =0.96 (1.16) mm] and A(dense) [DSC =0.71 (0.14) and ASD =1.67 (1.92) mm] (all P
Published: 2021
Full Text: View/download PDF

3. An improved algorithm using weighted guided coefficient and union self‐adaptive image enhancement for single image haze removal

Author: Lifeng He, Xiao Zhao, Zhou Guangbin, Meimei Yang, Qi Yong, and Yuyan Chao
Subjects: Haze, Computer science, business.industry, Improved algorithm, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Self adaptive, Image enhancement, QA76.75-76.765, Signal Processing, Photography, Computer vision, Computer software, Computer Vision and Pattern Recognition, Artificial intelligence, Electrical and Electronic Engineering, Single image, TR1-1050, business, Software
Abstract: The visibility of outdoor images is usually significantly degraded by haze. Existing dehazing algorithms, such as dark channel prior (DCP) and colour attenuation prior (CAP), have made great progress and are highly effective. However, they all suffer from the problems of dark distortion and detailed information loss. This paper proposes an improved algorithm for single‐image haze removal based on dark channel prior with weighted guided coefficient and union self‐adaptive image enhancement. First, a weighted guided coefficient method with sampling based on guided image filtering is proposed to refine the transmission map efficiently. Second, the k‐means clustering method is adopted to calibrate the original image into bright and non‐bright colour areas and form a transmission constraint matrix. The constraint matrix is then marked by connected‐component labelling, and small bright regions are eliminated to form an atmospheric light constraint matrix, which can suppress the halo effect and optimize the atmospheric light. Finally, an adaptive linear contrast enhancement algorithm with a union score is proposed to optimize restored images. Experimental results demonstrate that the proposed algorithm can overcome the problems of image distortion and detailed information loss and is more efficient than conventional dehazing algorithms.
Published: 2021
Full Text: View/download PDF

4. Extensive Heterotopic Ossification of Bilateral Hip and Knee Joints in a Patient with Recurrent Traumatic Injuries

Author: Qi-Yong Cao, Zhipeng Yan, Kai-Wen Wang, Janice Wing-Tung Kwong, and Ching-Lung Lai
Subjects: musculoskeletal diseases, medicine.medical_specialty, medicine.diagnostic_test, Ossification, business.industry, Soft tissue, Physical examination, medicine.disease, Surgical planning, Surgery, Traumatic injury, medicine.anatomical_structure, medicine, Heterotopic ossification, Deep fascia, medicine.symptom, Gluteal muscles, business
Abstract: Background: Heterotopic ossification (HO) refers to the growth of lamellar bone in soft tissues. Extensive heterotopic ossification is rarely seen. In this case, we illustrate a 35-year-old civilian patient with extensive HO due to recurrent traumatic injuries with no neurological deficit. Case Presentation: A 35-year-old man, with a history of recurrent trauma episodes in the past year, presented with pain and swellings in bilateral lower limbs. Physical examination showed stiffness and deformities of bilateral hip and knee joints. Plain x-ray showed patchy ossification extending from hip joints to knee joints bilaterally. 3-dimensional Computer Tomography (3D-CT) showed extensive heterotopic ossifications along gluteal muscles, quadratus muscles and the deep fascia beneath, confirming the diagnosis of extensive heterotopic ossifications of bilateral hip and knee joints. Excision of ossified tissues and re-mobilization of iliotibial bands were performed. Early recovery after surgery (ERAS) strategy was used to speed up recovery. Conclusion: i) Extensive heterotopic ossification in civilian patients is possible. Clinical history should be reviewed to rule out recurrent traumatic injury. Surgery should be considered. ii) Three-dimensional Computer Tomography (3D-CT) is a viable tool for surgical planning to show the extent, site, and anatomical relationship with adjacent tissues. iii) Post-op early recovery after surgery (ERAS) should be considered for better clinical outcomes.
Published: 2021
Full Text: View/download PDF

5. Dynamic Changes of Post-Radiotherapy Plasma Epstein–Barr Virus DNA in a Randomized Trial of Adjuvant Chemotherapy Versus Observation in Nasopharyngeal Cancer

Author: Leung Li, Y.M. Dennis Lo, Ann D. King, Kwan Hung Wong, W K Jacky Lam, Kenneth C.W. Wong, Anthony T.C. Chan, Qi-yong Hemis Ai, Thomas K.H. Lau, Brigette B.Y. Ma, Darren M.C. Poon, Frankie Mo, K.C. Allen Chan, Edwin P. Hui, Macy Tong, Daisy C.M. Lam, and Chi Hang Wong
Subjects: 0301 basic medicine, Epstein-Barr Virus Infections, Herpesvirus 4, Human, Cancer Research, medicine.medical_specialty, Randomization, medicine.medical_treatment, Gastroenterology, Virus, law.invention, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Randomized controlled trial, law, Positron Emission Tomography Computed Tomography, Internal medicine, Biomarkers, Tumor, Clinical endpoint, Humans, Medicine, Nasopharyngeal cancer, business.industry, Surrogate endpoint, Disease Management, Nasopharyngeal Neoplasms, Viral Load, Prognosis, Combined Modality Therapy, Survival Analysis, Radiation therapy, 030104 developmental biology, Oncology, chemistry, Chemotherapy, Adjuvant, 030220 oncology & carcinogenesis, DNA, Viral, Disease Progression, Disease Susceptibility, business, DNA
Abstract: Purpose: To study the dynamic changes in plasma Epstein–Barr virus (pEBV) DNA after radiotherapy in nasopharyngeal cancer (NPC). Experimental Design: We conducted a randomized controlled trial of adjuvant chemotherapy versus observation in patients with NPC who had detectable pEBV DNA at 6 weeks post-radiotherapy. Randomized patients had a second pEBV DNA checked at 6 months post-randomization. The primary endpoint was progression-free survival (PFS). Results: We prospectively enrolled 789 patients. Baseline post-radiotherapy pEBV DNA was undetectable in 573 (72.6%) patients, and detectable in 216 (27.4%) patients, of whom 104 (13.2%) patients were eligible for randomization to adjuvant chemotherapy (n = 52) versus observation (n = 52). The first post-radiotherapy pEBV DNA had a sensitivity of 0.48, specificity of 0.81, area under receiver-operator characteristics curve (AUC) of 0.65, false positive (FP) rate of 13.8%, and false negative (FN) rate of 14.4% for disease progression. The second post-radiotherapy pEBV DNA had improved sensitivity of 0.81, specificity of 0.75, AUC of 0.78, FP rate of 14.3%, and FN rate of 8.1%. Patients with complete clearance of post-radiotherapy pEBV DNA (51%) had survival superior to that of patients without post-radiotherapy pEBV DNA clearance (5-year PFS, 85.5% vs. 23.3%; HR, 9.6; P < 0.0001), comparable with patients with initially undetectable post-radiotherapy pEBV DNA (5-year PFS, 77.1%), irrespective of adjuvant chemotherapy or observation. Conclusions: Patients with NPC with detectable post-radiotherapy pEBV DNA who experienced subsequent pEBV DNA clearance had superior survival comparable with patients with initially undetectable post-radiotherapy pEBV DNA. Post-radiotherapy pEBV DNA clearance may serve as an early surrogate endpoint for long-term survival in NPC.
Published: 2021
Full Text: View/download PDF

6. Convolutional neural network in nasopharyngeal carcinoma: how good is automatic delineation for primary tumor on a non-contrast-enhanced fat-suppressed T2-weighted MRI?

Author: Ann D. King, Lun M. Wong, Qi-Yong Ai, Frankie Mo, and Darren M.C. Poon
Subjects: business.industry, medicine.disease, Convolutional neural network, Primary tumor, 030218 nuclear medicine & medical imaging, Surface distance, 03 medical and health sciences, 0302 clinical medicine, Nasopharyngeal carcinoma, 030220 oncology & carcinogenesis, medicine, Radiology, Nuclear Medicine and imaging, Non contrast enhanced, Nuclear medicine, business, T2 weighted
Abstract: Convolutional neural networks (CNNs) show potential for delineating cancers on contrast-enhanced MRI (ce-MRI) but there are clinical scenarios in which administration of contrast is not desirable. We investigated performance of the CNN for delineating primary nasopharyngeal carcinoma (NPC) on non-contrast-enhanced images and compared the performance to that on ce-MRI. We retrospectively analyzed primary NPC in 195 patients using a well-established CNN, U-Net, for tumor delineation on the non-contrast-enhanced fat-suppressed (fs)-T2W, ce-T1W and ce-fs-T1W images. The CNN-derived delineations were compared to manual delineations to obtain Dice similarity coefficient (DSC) and average surface distance (ASD). The DSC and ASD on fs-T2W were compared to those on ce-MRI. Primary tumor volumes (PTVs) of CNN-derived delineations were compared to that of manual delineations. The CNN for NPC delineation on fs-T2W images showed similar DSC (0.71 ± 0.09) and ASD (0.21 ± 0.48 cm) to those on ce-T1W images (0.71 ± 0.09 and 0.17 ± 0.19 cm, respectively) (p > 0.05), and lower DSC but similar ASD to ce-fs-T1W images (0.73 ± 0.09, p 0.05). The CNN overestimated PTVs on all sequences (p
Published: 2021
Full Text: View/download PDF

7. Clinical outcome of distal tibiofibular arthrodesis with plate fixation for the treatment of chronic frank syndesmosis instability

Author: Yan Wang, Zhijian Sun, Ting Li, Qi-yong Cao, and Xinbao Wu
Subjects: Syndesmosis, medicine.medical_specialty, Arthrodesis, medicine.medical_treatment, Bone Screws, Fracture Fixation, Internal, 03 medical and health sciences, Fixation (surgical), 0302 clinical medicine, medicine, Humans, General Environmental Science, Plate fixation, 030222 orthopedics, business.industry, 030208 emergency & critical care medicine, medicine.disease, Surgery, Treatment Outcome, medicine.anatomical_structure, Diastasis, Contoured plate, General Earth and Planetary Sciences, Distal tibiofibular syndesmosis, Ankle, business, Bone Plates, Ankle Joint
Abstract: Numerous treatment strategies have been reported for the treatment of chronic frank distal tibiofibular syndesmosis instability, including several small case series treated by syndesmosis arthrodesis. The aim of this study is to report the treatment of this condition using a specially contoured plate and the associated clinical outcomes.Over a period of 8 years, patients presented in our institution with chronic frank distal tibiofibular syndesmosis instability were eligible to participate. All patients were managed with plating and screw fixation. The average follow-up period was 58 months (range, 12-99). Clinical outcome was evaluated using the American Orthopaedic FootAnkle Society ankle-hindfoot score.In total, 8 patients met the inclusion criteria and formed the basis of this study. All patients could tolerate full weightbearing 3 months after surgery. The mean Visual Analog Scale pain score and the American Orthopaedic FootAnkle Society ankle-hindfoot score were significantly improved at the last follow-up (P0.05). All patients were satisfied with the result and 7 patients returned to sports. 4 patients had mild limitation of ankle range of motion compared with the unaffected side.Syndesmosis arthrodesis was a feasible method for the treatment of chronic frank syndesmosis instability according to our findings. Syndesmosis arthrodesis with plate and screw stabilization is another viable option to be considered into the surgeon's armamentarium. Larger scale studies are desirable to provide further evidence of this method of treatment.
Published: 2020
Full Text: View/download PDF

8. Convolutional neural network for discriminating nasopharyngeal carcinoma and benign hyperplasia on MRI

Author: W K Jacky Lam, Qi-Yong Ai, Darren M.C. Poon, Frankie Mo, K.C. Allen Chan, Ann D. King, Lun M. Wong, and Brigette B.Y. Ma
Subjects: medicine.medical_specialty, Receiver operating characteristic, business.industry, Deep learning, Area under the curve, General Medicine, Hyperplasia, medicine.disease, Convolutional neural network, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Nasopharyngeal carcinoma, 030220 oncology & carcinogenesis, otorhinolaryngologic diseases, Medicine, Radiology, Nuclear Medicine and imaging, Benign hyperplasia, Artificial intelligence, Radiology, business, Neuroradiology
Abstract: A convolutional neural network (CNN) was adapted to automatically detect early-stage nasopharyngeal carcinoma (NPC) and discriminate it from benign hyperplasia on a non-contrast-enhanced MRI sequence for potential use in NPC screening programs. We retrospectively analyzed 412 patients who underwent T2-weighted MRI, 203 of whom had biopsy-proven primary NPC confined to the nasopharynx (stage T1) and 209 had benign hyperplasia without NPC. Thirteen patients were sampled randomly to monitor the training process. We applied the Residual Attention Network architecture, adapted for three-dimensional MR images, and incorporated a slice-attention mechanism, to produce a CNN score of 0–1 for NPC probability. Threefold cross-validation was performed in 399 patients. CNN scores between the NPC and benign hyperplasia groups were compared using Student's t test. Receiver operating characteristic with the area under the curve (AUC) was performed to identify the optimal CNN score threshold. In each fold, significant differences were observed in the CNN scores between the NPC and benign hyperplasia groups (p 0.71, producing a sensitivity, specificity, and accuracy of 92.4%, 90.6%, and 91.5%, respectively, for NPC detection. Our CNN method applied to T2-weighted MRI could discriminate between malignant and benign tissues in the nasopharynx, suggesting that it as a promising approach for the automated detection of early-stage NPC. • The convolutional neural network (CNN)–based algorithm could automatically discriminate between malignant and benign diseases using T2-weighted fat-suppressed MR images. • The CNN-based algorithm had an accuracy of 91.5% with an area under the receiver operator characteristic curve of 0.96 for discriminating early-stage T1 nasopharyngeal carcinoma from benign hyperplasia. • The CNN-based algorithm had a sensitivity of 92.4% and specificity of 90.6% for detecting early-stage nasopharyngeal carcinoma.
Published: 2020
Full Text: View/download PDF

9. Diagnostic accuracy of endoscopic ultrasound-guided fine-needle aspiration: A single-center analysis

Author: Ning Wu, Muhammad Ibrahim Alhadi Edoo, Songming Ding, Bing-Qian Xu, Aili Lu, Xinhua Chen, Shusen Zheng, and Qi-Yong Li
Subjects: Endoscopic ultrasound, Male, medicine.medical_specialty, Malignancy, Single Center, Sex Factors, Liver Function Tests, Predictive Value of Tests, Risk Factors, Cytology, fine needle aspiration biopsy, Biomarkers, Tumor, Diabetes Mellitus, Medicine, Humans, pancreas, Medical diagnosis, Endoscopic Ultrasound-Guided Fine Needle Aspiration, Aged, Retrospective Studies, medicine.diagnostic_test, business.industry, Age Factors, General Medicine, Middle Aged, medicine.disease, digestive system diseases, Pancreatic Neoplasms, medicine.anatomical_structure, Fine-needle aspiration, Hypertension, cytology, Female, Liver function, Radiology, business, Pancreas, Research Paper
Abstract: Background: Endoscopic ultrasound-guided fine-needle aspiration biopsy (EUS-FNAB) has become an important modality for identification of intra-abdominal masses. This study analyzed the accuracy of EUS-FNAB in a single medical center and explored factors related to positive diagnosis. Materials and methods: In total, 77 patients with EUS-FNAB were retrospectively reviewed from July 2016 to February 2020. “Atypical (tends to be neoplasm/malignancy),” “suspicious (first consider neoplasm/malignancy),” and “malignant” were defined as positive cytology. The final diagnoses were based on histopathologic examination. The positive rate of EUS-FNAB for the diagnosis of neoplasm and its associations with age, sex, target puncture mass size, liver function, tumor markers, albumin, hypertension, and diabetes were examined. Results: Accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of EUS-FNAB cytologic diagnoses in all patients were 77.9% (60/77), 76.1% (54/71), 100%, 100%, and 26.1% (6/23), respectively. Accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of EUS-FNAB cytologic diagnoses in the pancreas were 80.0% (48/60), 79.3% (46/58), 100%, 100%, and 14.3% (2/14), respectively. The results of EUS-FNAB in pancreatic masses showed that the level of CA19-9 was higher in the true positive group than in the false-negative group (p0.05). Conclusions: Our single-medical center study showed that EUS-FNAB is an accurate diagnostic procedure for the evaluation of intra-abdominal masses. Further follow-up is required to explore factors associated with the true positive cytology.
Published: 2020

10. Pre-treatment amide proton transfer imaging predicts treatment outcome in nasopharyngeal carcinoma

Author: Brigette B.Y. Ma, Darren M.C. Poon, David K.W. Yeung, Qi-Yong H. Ai, Sahrish Qamar, Yi-Xiang J. Wang, Weitian Chen, Frankie Mo, Jing Yuan, Ann D. King, and Macy Tong
Subjects: medicine.medical_specialty, Percentile, Receiver operating characteristic, business.industry, Proportional hazards model, Head and neck cancer, Confounding, General Medicine, medicine.disease, Primary tumor, Gastroenterology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Nasopharyngeal carcinoma, 030220 oncology & carcinogenesis, Internal medicine, Medicine, Radiology, Nuclear Medicine and imaging, Radiology, Stage (cooking), business
Abstract: To investigate the value of pre-treatment amide proton transfer–weighted (APTw) imaging for predicting survival of patients with nasopharyngeal carcinoma (NPC). Pre-treatment APTw imaging was performed in 77 NPC patients and the mean, 90th percentile, skewness, and kurtosis of APT asymmetry (APTmean, APT90, APTskewness, and APTkurtosis, respectively) were obtained from the primary tumor. Associations of APTw parameters with locoregional relapse–free survival (LRRFS), distant metastasis–free survival (DMFS), and disease-free survival (DFS) after 2 years were assessed by univariable Cox regression analysis and significant APTw parameters, together with age, sex, treatment, and stage as confounding variables, were added to the multivariable model. Kaplan-Meier analysis was used to determine the prognostic significance of patients with high or low APT values based on a threshold value from receiver operating characteristic curve analysis. Locoregional relapse, distant metastases, and disease relapse occurred in 14/77 (18%), 10/77 (13%), and 20/77 (26%) patients, respectively, at a median follow-up of 48.3 (10.6–67.4) months. Univariable analysis showed significant associations of LRRFS with APTskewness (HR = 1.98; p = 0.034), DMFS with APTmean (HR = 2.44; p = 0.033), and APT90 (HR = 1.93; p = 0.009), and DFS with APTmean (HR = 2.01; p = 0.016), APT90 (HR = 1.68; p = 0.009), and APTskewness (HR = 1.85; p = 0.029). In multivariable analysis, the significant predictors for DMFS were APT90 (HR = 3.51; p = 0.004) and nodal stage (HR = 5.95; p = 0.034) and for DFS were APT90 (HR = 1.97; p = 0.010) and age (HR = 0.92; p = 0.014). An APT90 ≥ 4.38% was associated with a significantly poorer DFS at 2 years than APT90 < 4.38% (66% vs. 91%; HR = 4.01; p = 0.005). APTw imaging may potentially predict survival in patients with NPC. • APTw imaging may provide new markers to predict survival in nasopharyngeal carcinoma. • APT90 is an independent predictor of distant metastases–free survival and disease-free survival. • The APThigh group is at higher risk of disease relapse than the APTlow group.
Published: 2020
Full Text: View/download PDF

11. Integrating postradiotherapy plasma Epstein–Barr virus DNA and TNM stage for risk stratification of nasopharyngeal carcinoma to adjuvant therapy

Author: Thomas K.H. Lau, Brigette B.Y. Ma, Daisy Cm Lam, D.M. Poon, Qi-Yong Ai, Leung Li, W.F. Li, W.K.J. Lam, Jun Ma, Anthony T.C. Chan, R. Guo, Kenneth C.W. Wong, Macy Tong, Ann D. King, Frankie Kf Mo, C.H. Wong, Yuk Ming Dennis Lo, Edwin P. Hui, and K.C.A. Chan
Subjects: 0301 basic medicine, Oncology, Epstein-Barr Virus Infections, Herpesvirus 4, Human, medicine.medical_specialty, medicine.medical_treatment, Risk Assessment, Plasma, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Clinical endpoint, Adjuvant therapy, Humans, Prospective Studies, Neoplasm Staging, Retrospective Studies, Chemotherapy, Nasopharyngeal Carcinoma, business.industry, Nasopharyngeal Neoplasms, Retrospective cohort study, Hematology, Prognosis, medicine.disease, Minimal residual disease, Radiation therapy, 030104 developmental biology, Nasopharyngeal carcinoma, 030220 oncology & carcinogenesis, DNA, Viral, Cohort, Neoplasm Recurrence, Local, business
Abstract: Background After curative radiotherapy (RT) or chemoradiation (CRT), there is no validated tool to accurately identify patients for adjuvant therapy in nasopharyngeal carcinoma (NPC). Post-RT circulating plasma Epstein–Barr virus (EBV) DNA can detect minimal residual disease and is associated with recurrence and survival independent of TNM (tumor–lymph node–metastasis) stage. We aimed to develop and validate a risk model for stratification of NPC patients after completion of RT/CRT to observation or adjuvant therapy. Patients and methods The prospective multicenter 0502 EBV DNA screening cohort (Hong Kong NPC Study Group 0502 trial) enrolled from 2006 to 2015 (n = 745) was used for model development. For internal validation, we pooled independent patient cohorts from prospective clinical studies enrolled from 1997 to 2006 (n = 340). For external validation, we used retrospective cohort of NPC patients treated at Sun Yat-sen University Cancer Center from 2009 to 2012 (n = 837). Eligible patients had histologically confirmed NPC of Union for International Cancer Control (UICC) 7th Edition stage II–IVB who completed curative RT/CRT with or without neoadjuvant chemotherapy, had post-RT EBV DNA tested within 120 days after RT and received no adjuvant therapy. The primary end point was overall survival (OS). We used recursive-partitioning analysis (RPA) to classify patients into groups of low, intermediate, and high risk of death. Results Combining post-RT EBV DNA level (0, 1–49, 50–499, and ≥500 copies/ml) and TNM stage (II, III, IVAB), RPA model classified patients into low-, intermediate-, and high-risk groups with 5-year OS of 89.4%, 78.5% and 37.2%, respectively. The RPA low-risk group had comparable OS to TNM stage II (5-year OS 88.5%) but identified more patients (64.8% versus stage II 28.1%) that could potentially be spared adjuvant therapy toxicity. The RPA model (c-index 0.712) showed better risk discrimination than either the TNM stage (0.604) or post-RT EBV DNA alone (0.675) with improved calibration and consistence. These results were validated in both internal and external cohorts. Conclusion Combining post-RT EBV DNA and TNM stage improved risk stratification in NPC.
Published: 2020
Full Text: View/download PDF

12. Early Detection of Cancer: Evaluation of MR Imaging Grading Systems in Patients with Suspected Nasopharyngeal Carcinoma

Author: W.K.J. Lam, Qi-Yong Ai, K.W.N. Yip, I.O.L. Tse, Brigette B.Y. Ma, Frankie Mo, Tiffany Y. So, Rossa W.K. Chiu, E.P. Hui, K.C.A. Chan, Anthony T.C. Chan, Alexander C. Vlantis, Y.M.D. Lo, J.K.S. Woo, and Ann D. King
Subjects: Adult, Male, Adolescent, Sensitivity and Specificity, Asymptomatic, 030218 nuclear medicine & medical imaging, Young Adult, 03 medical and health sciences, 0302 clinical medicine, McNemar's test, Image Interpretation, Computer-Assisted, Humans, Medicine, Radiology, Nuclear Medicine and imaging, In patient, Grading (education), Head & Neck, Early Detection of Cancer, Aged, Retrospective Studies, Aged, 80 and over, Nasopharyngeal Carcinoma, business.industry, Nasopharyngeal Neoplasms, Retrospective cohort study, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Mr imaging, Primary tumor, Nasopharyngeal carcinoma, Female, Neurology (clinical), medicine.symptom, business, Nuclear medicine, 030217 neurology & neurosurgery
Abstract: BACKGROUND AND PURPOSE: We evaluated modifications to our contrast-enhanced MR imaging grading system for symptomatic patients with suspected nasopharyngeal carcinoma, aimed at improving discrimination of early-stage cancer and benign hyperplasia. We evaluated a second non-contrast-enhanced MR imaging grading system for asymptomatic patients from nasopharyngeal carcinoma plasma screening programs. MATERIALS AND METHODS: Dedicated nasopharyngeal MR imaging before (plain scan system) and after intravenous contrast administration (current and modified systems) was reviewed in patients from a nasopharyngeal carcinoma–endemic region, comprising 383 patients with suspected disease without nasopharyngeal carcinoma and 383 patients with nasopharyngeal carcinoma. The modified and plain scan systems refined primary tumor criteria, added a nodal assessment, and expanded the system from 4 to 5 grades. The overall combined sensitivity and specificity of the 3 systems were compared using the extended McNemar test (a χ2 value χ ( 2 ) 2 > 5.99 indicates significance). RESULTS: The current, modified, and plain scan MR imaging systems yielded sensitivities of 99.74%, 97.91%, and 97.65%, respectively, and specificities of 63.45%, 89.56% and 86.42%, respectively. The modified system yielded significantly better performance than the current ( χ ( 2 ) 2 = 122) and plain scan ( χ ( 2 ) 2 = 6.1) systems. The percentages of patients with nasopharyngeal carcinoma in grades 1–2, grade 3, and grades 4–5 for the modified and plain scan MR imaging systems were 0.42% and 0.44%; 6.31% and 6.96%; and 90.36% and 87.79%, respectively. No additional cancers were detected after contrast administration in cases of a plain scan graded 1–2. CONCLUSIONS: We propose a modified MR imaging grading system that improves diagnostic performance for nasopharyngeal carcinoma detection. Contrast was not valuable for low MR imaging grades, and the plain scan shows potential for use in screening programs.
Published: 2020
Full Text: View/download PDF

13. Non‐pharmacological interventions for preventing delirium in hospitalised non‐ICU patients

Author: Rebecca Woodhouse, Alan Brunton, Elizabeth Teale, Amanda J. Barugh, Terry J Quinn, Shun Qi Yong, Alex J. Sutton, Najma Siddiqi, Alison M Shepherd, Louise E. Craig, Suzanne C Freeman, and Jennifer K Burton
Subjects: Adult, medicine.medical_specialty, Blinding, Medication Review, Network Meta-Analysis, education, Psychological intervention, MEDLINE, Bias, Intensive care, mental disorders, medicine, Humans, Blood Transfusion, Pharmacology (medical), Hospital Mortality, Aged, Randomized Controlled Trials as Topic, Aged, 80 and over, Inpatients, business.industry, Incidence (epidemiology), Incidence, Delirium, Length of Stay, Combined Modality Therapy, Hospitalization, Meta-analysis, Relative risk, Emergency medicine, medicine.symptom, business
Abstract: Background\ud \ud Delirium is an acute neuropsychological disorder that is common in hospitalised patients. It can be distressing to patients and carers and it is associated with serious adverse outcomes. Treatment options for established delirium are limited and so prevention of delirium is desirable. Non‐pharmacological interventions are thought to be important in delirium prevention. \ud \ud \ud \ud Objectives\ud \ud To assess the effectiveness of non‐pharmacological interventions designed to prevent delirium in hospitalised patients outside intensive care units (ICU).\ud \ud \ud \ud Search methods\ud \ud We searched ALOIS, the specialised register of the Cochrane Dementia and Cognitive Improvement Group, with additional searches conducted in MEDLINE, Embase, PsycINFO, CINAHL, LILACS, Web of Science Core Collection, ClinicalTrials.gov and the World Health Organization Portal/ICTRP to 16 September 2020. There were no language or date restrictions applied to the electronic searches, and no methodological filters were used to restrict the search.\ud \ud \ud \ud Selection criteria\ud \ud We included randomised controlled trials (RCTs) of single and multicomponent non‐pharmacological interventions for preventing delirium in hospitalised adults cared for outside intensive care or high dependency settings. We only included non‐pharmacological interventions which were designed and implemented to prevent delirium. \ud \ud Data collection and analysis\ud \ud Two review authors independently examined titles and abstracts identified by the search for eligibility and extracted data from full‐text articles. Any disagreements on eligibility and inclusion were resolved by consensus. We used standard Cochrane methodological procedures. The primary outcomes were: incidence of delirium; inpatient and later mortality; and new diagnosis of dementia. We included secondary and adverse outcomes as pre‐specified in the review protocol. We used risk ratios (RRs) as measures of treatment effect for dichotomous outcomes and between‐group mean differences for continuous outcomes. The certainty of the evidence was assessed using GRADE. A complementary exploratory analysis was undertaker using a Bayesian component network meta‐analysis fixed‐effect model to evaluate the comparative effectiveness of the individual components of multicomponent interventions and describe which components were most strongly associated with reducing the incidence of delirium.\ud \ud \ud \ud Main results\ud \ud We included 22 RCTs that recruited a total of 5718 adult participants. Fourteen trials compared a multicomponent delirium prevention intervention with usual care. Two trials compared liberal and restrictive blood transfusion thresholds. The remaining six trials each investigated a different non‐pharmacological intervention. Incidence of delirium was reported in all studies. \ud \ud Using the Cochrane risk of bias tool, we identified risks of bias in all included trials. All were at high risk of performance bias as participants and personnel were not blinded to the interventions. Nine trials were at high risk of detection bias due to lack of blinding of outcome assessors and three more were at unclear risk in this domain. \ud \ud Pooled data showed that multi‐component non‐pharmacological interventions probably reduce the incidence of delirium compared to usual care (10.5% incidence in the intervention group, compared to 18.4% in the control group, risk ratio (RR) 0.57, 95% confidence interval (CI) 0.46 to 0.71, I2 = 39%; 14 studies; 3693 participants; moderate‐certainty evidence, downgraded due to risk of bias). \ud \ud There may be little or no effect of multicomponent interventions on inpatient mortality compared to usual care (5.2% in the intervention group, compared to 4.5% in the control group, RR 1.17, 95% CI 0.79 to 1.74, I2 = 15%; 10 studies; 2640 participants; low‐certainty evidence downgraded due to inconsistency and imprecision). \ud \ud No studies of multicomponent interventions reported data on new diagnoses of dementia. \ud \ud Multicomponent interventions may result in a small reduction of around a day in the duration of a delirium episode (mean difference (MD) ‐0.93, 95% CI ‐2.01 to 0.14 days, I2 = 65%; 351 participants; low‐certainty evidence downgraded due to risk of bias and imprecision). The evidence is very uncertain about the effect of multicomponent interventions on delirium severity (standardised mean difference (SMD) ‐0.49, 95% CI ‐1.13 to 0.14, I2=64%; 147 participants; very low‐certainty evidence downgraded due to risk of bias and serious imprecision). Multicomponent interventions may result in a reduction in hospital length of stay compared to usual care (MD ‐1.30 days, 95% CI ‐2.56 to ‐0.04 days, I2=91%; 3351 participants; low‐certainty evidence downgraded due to risk of bias and inconsistency), but little to no difference in new care home admission at the time of hospital discharge (RR 0.77, 95% CI 0.55 to 1.07; 536 participants; low‐certainty evidence downgraded due to risk of bias and imprecision). Reporting of other adverse outcomes was limited. \ud \ud Our exploratory component network meta‐analysis found that re‐orientation (including use of familiar objects), cognitive stimulation and sleep hygiene were associated with reduced risk of incident delirium. Attention to nutrition and hydration, oxygenation, medication review, assessment of mood and bowel and bladder care were probably associated with a reduction in incident delirium but estimates included the possibility of no benefit or harm. Reducing sensory deprivation, identification of infection, mobilisation and pain control all had summary estimates that suggested potential increases in delirium incidence, but the uncertainty in the estimates was substantial. \ud \ud Evidence from two trials suggests that use of a liberal transfusion threshold over a restrictive transfusion threshold probably results in little to no difference in incident delirium (RR 0.92, 95% CI 0.62 to 1.36; I2 = 9%; 294 participants; moderate‐certainty evidence downgraded due to risk of bias). \ud \ud Six other interventions were examined, but evidence for each was limited to single studies and we identified no evidence of delirium prevention. \ud \ud \ud \ud Authors' conclusions\ud \ud There is moderate‐certainty evidence regarding the benefit of multicomponent non‐pharmacological interventions for the prevention of delirium in hospitalised adults, estimated to reduce incidence by 43% compared to usual care. We found no evidence of an effect on mortality. There is emerging evidence that these interventions may reduce hospital length of stay, with a trend towards reduced delirium duration, although the effect on delirium severity remains uncertain. Further research should focus on implementation and detailed analysis of the components of the interventions to support more effective, tailored practice recommendations.
Published: 2021

14. Factors related to the spontaneous passage of common bile duct stones through the papilla: a single-center retrospective cohort study

Author: Weilin Wu, Shanjie Dong, Qi-Yong Li, Hengkai Zhu, Yiting Hu, Songming Ding, and Shusen Zheng
Subjects: medicine.medical_specialty, Medicine (General), endoscopic retrograde cholangiopancreatography, α-L-fucosidase, Bilirubin, Gallstones, Single Center, Biochemistry, Gastroenterology, digestive system, Group B, chemistry.chemical_compound, R5-920, Internal medicine, Medicine, Humans, Biliary Tract, gamma-glutamyl transpeptidase, Common bile duct stone, Retrospective Studies, Cholangiopancreatography, Endoscopic Retrograde, Common Bile Duct, Endoscopic retrograde cholangiopancreatography, Common bile duct, medicine.diagnostic_test, business.industry, Biochemistry (medical), Retrospective cohort study, Cell Biology, General Medicine, carbohydrate antigen 19-9, retrospective analysis, digestive system diseases, Major duodenal papilla, medicine.anatomical_structure, surgical procedures, operative, chemistry, business, Carbohydrate antigen, alkaline phosphatase, Retrospective Clinical Research Report
Abstract: Objective Common bile duct (CBD) stones can spontaneously pass through the papilla. This study explored factors associated with stone passage by comparing differences in the clinical features of stones retained in the CBD and excreted stones. Methods Data were retrospectively collected for all patients who were hospitalized in our center between March 2016 and May 2021 with clinical, laboratory, or imaging evidence of CBD stones. All patients underwent endoscopic retrograde cholangiopancreatography (ERCP) and were classified into two groups: group A (stones extracted by ERCP, n = 86) and group B (stones discharged before ERCP, n = 15). Demographic data, biochemical and radiological findings were compared between the groups. Results Stone size (0.82 vs. 0.33 cm), and levels of total bilirubin (58.2 vs. 28.8 μmol/L), gamma-glutamyl transpeptidase (416.7 vs. 193.9 U/L), alkaline phosphatase (191.9 vs. 123.1 U/L), carbohydrate antigen 19-9 (603.7 vs. 37.2 U/mL), and α-L-fucosidase (37.4 vs. 22.6 U/L) were significantly higher in group A than in group B. Logistic regression analyses showed that stone size was the only factor significantly associated with spontaneous passage of CBD stones. Conclusions CBD stones less than 0.33 cm in size may be self-expelled through the papilla.
Published: 2021

15. Dynamic response analysis of the wind–train–bridge coupling based on the stiffness change of the long-span track bridge

Author: Anshuang Liu, Chen Xiaohu, Qi Yong, Li Xiaogang, and Ding Peng
Subjects: Long span, Acoustics and Ultrasonics, Computer science, lcsh:Control engineering systems. Automatic machinery (General), lcsh:QC221-246, 020101 civil engineering, 02 engineering and technology, Track (rail transport), Bridge (interpersonal), 0201 civil engineering, lcsh:TJ212-225, 0203 mechanical engineering, medicine, Civil and Structural Engineering, Coupling, business.industry, Mechanical Engineering, Response analysis, Stiffness, Building and Construction, Structural engineering, 020303 mechanical engineering & transports, Geophysics, Mechanics of Materials, lcsh:Acoustics. Sound, medicine.symptom, business
Abstract: In order to analyze the influence of the stiffness change of the long-span track bridge on running safety of the train, a bridge and train analysis model, based on Chongqing Egongyan track bridge, is established to simulate and evaluate the spatial coupling dynamic response of the wind–train–bridge system through stiffness change and to propose the reasonable stiffness limit range of the long-span track suspension bridge. The results show that the dynamic characteristics of the bridge are good, and the safety of train operation and ride comfort meet the requirements when the vertical stiffness is 1/300–1/500 and the lateral stiffness is 1/600–1/1200; the dynamic response of the bridge and the running safety of the train are significantly sensitive to the stiffness change of the bridge, especially when the wind speed is 25 m/s and the vertical stiffness is 1/300, at this time, the derailment coefficient and the wheel load reduction rate reach 0.72 and 0.54, respectively, which are close to the limit standard, indicating that there are some potential safety hazards in train operation.
Published: 2019
Full Text: View/download PDF

16. Relationship between 18F-FDG PET metabolic parameters and MRI intravoxel incoherent motion (IVIM) histogram parameters and their correlations with clinicopathological features of cervical cancer: evidence from integrated PET/MRI

Author: Hongzan Sun, Siyao Du, Z. Chen, Zaiming Lu, Shinong Pan, Si Gao, Qi-Yong Guo, and Jun Xin
Subjects: Cervical cancer, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Standardized uptake value, General Medicine, medicine.disease, 030218 nuclear medicine & medical imaging, body regions, 03 medical and health sciences, 0302 clinical medicine, Positron emission tomography, 030220 oncology & carcinogenesis, Histogram, medicine, Effective diffusion coefficient, Radiology, Nuclear Medicine and imaging, Tomography, business, Nuclear medicine, Intravoxel incoherent motion
Abstract: Aim To explore the relationship between positron-emission tomography (PET) and intravoxel incoherent motion (IVIM) histogram parameters and their correlations with the clinicopathological features of cervical squamous cell cancer (CSCC). Materials and methods Forty-four patients with CSCC underwent pelvic combined PET/magnetic resonance imaging (MRI) including IVIM sequences. The maximum/mean standardized uptake value (SUVmax/SUVmean), metabolic tumour volume (MTV), and total lesion glycolysis (TLG) of PET, histogram parameters of apparent diffusion coefficient (ADC), IVIM biomarkers of tissue diffusivity (D), and perfusion fraction (F) were calculated. Correlations between SUV and IVIM (including ADC) histogram parameters, imaging parameters and clinicopathological features were evaluated. Results SUV showed weak or no correlations with most histogram parameters of ADC, D, and F, except for a moderate correlation between SUVmax or SUVmean and ADCmin (r=–0.69, p Conclusion No universal correlations between SUV and IVIM parameters were found in this study, and further investigation of PET and IVIM parameters as independent potential biomarkers should be investigated for evaluating the clinicopathological characteristics of cervical cancer.
Published: 2019
Full Text: View/download PDF

17. Potential impacts of climate change on dengue fever distribution using RCP scenarios in China

Author: Jing-Chun Fan and Qi-Yong Liu
Subjects: Atmospheric Science, Aedes albopictus, 010504 meteorology & atmospheric sciences, Population, Climate change, Distribution (economics), Management, Monitoring, Policy and Law, lcsh:QC851-999, 010502 geochemistry & geophysics, 01 natural sciences, Dengue fever, Dengue transmission, medicine, lcsh:Social sciences (General), China, Socioeconomics, education, 0105 earth and related environmental sciences, Global and Planetary Change, education.field_of_study, biology, business.industry, Representative Concentration Pathways, biology.organism_classification, medicine.disease, Geography, lcsh:Meteorology. Climatology, lcsh:H1-99, business
Abstract: This study projected dengue distribution risk map using representative concentration pathways (RCP2.6, RCP4.5, RCP6.0, RCP8.5) in China in 2020s, 2030s, 2050s and 2100s. Based on the biological characteristics of Aedes albopictus and the dengue epidemic process, dengue transmission biological model was developed to project the risk epidemic areas. Observational temperature data in 1981–2016 at 740 stations and grid data of 0.5° × 0.5° (15°−55.5°N, 70°−140.5°E) under selected RCPs in 2020s, 2030s, 2050s and 2100s were used. Relative to 142 counties and 168 million people living in the projected high risk area of dengue in the climate condition of 1981–2016, dengue high risk areas in China would expand under same RCP scenarios in the 21st century with time past except RCP2.6 with a turning down point in 2050s. Especially under RCP8.5 which global mean temperature would increase by 4.9 °C till 2100s, the high risk area and population for dengue transmission would expand additional 34 counties (20 million) in 2020s, 114 counties (60 million) in 2030s, 208 counties (160 million) in 2050 and 456 counties (490 million) in 2100s respectively than those of 1981–2016. For RCP8.5 in 2100s, the population and expanded high risk areas would increase 4.2-fold and 2.9-fold than the 1981–2016 mean. The newly added high risk areas should prepare for controlling and preventing dengue in different period according to projected dengue risk map. Keywords: Dengue fever, Climate change, Aedes albopictus, Representative concentration pathways (RCPs), Risk distribution
Published: 2019

18. Mechanism of Fei-Xian Formula in the Treatment of Pulmonary Fibrosis on the Basis of Network Pharmacology Analysis Combined with Molecular Docking Validation

Author: Xiao-Li Chen, Jin Xu, Zhong-Hua Pang, Cheng Tang, Qi Wang, Qi-Yong Zhu, Dan-Dan Zhou, Qing-Ling Xiao, and Ya-Xi Zhao
Subjects: Article Subject, business.industry, Mechanism (biology), B-cell receptor, Computational biology, Cell cycle, medicine.disease, Autodock vina, GeneCards, Other systems of medicine, Complementary and alternative medicine, Network pharmacology, Pulmonary fibrosis, Medicine, business, Receptor, RZ201-999, Research Article
Abstract: Objective. This study aimed to clarify the mechanism of Fei-Xian formula (FXF) in the treatment of pulmonary fibrosis based on network pharmacology analysis combined with molecular docking validation. Methods. Firstly, ingredients in FXF with pharmacological activities, together with specific targets, were identified based on the BATMA-TCM and TCMSP databases. Then, targets associated with pulmonary fibrosis, which included pathogenic targets as well as those known therapeutic targets, were screened against the CTD, TTD, GeneCards, and DisGeNet databases. Later, Cytoscape was employed to construct a candidate component-target network of FXF for treating pulmonary fibrosis. In addition, for nodes within the as-constructed network, topological parameters were calculated using CytoHubba plug-in, and the degree value (twice as high as the median degree value for all the nodes) was adopted to select core components as well as core targets of FXF for treating pulmonary fibrosis, which were subsequently utilized for constructing the core network. Furthermore, molecular docking study was carried out on those core active ingredients together with the core targets using AutoDock Vina for verifying results of network pharmacology analysis. At last, OmicShare was employed for enrichment analysis of the core targets. Results. Altogether 12 active ingredients along with 13 core targets were identified from our constructed core component-target network of FXF for the treatment of pulmonary fibrosis. As revealed by enrichment analysis, the 13 core targets mostly concentrated in regulating biological functions, like response to external stimulus (from oxidative stress, radiation, UV, chemical substances, and virus infection), apoptosis, cell cycle, aging, immune process, and protein metabolism. In addition, several pathways, like IL-17, AGE-RAGE, TNF, HIF-1, PI3K-AKT, NOD-like receptor, T/B cell receptor, and virus infection-related pathways, exerted vital parts in FXF in the treatment of pulmonary fibrosis. Conclusions. FXF can treat pulmonary fibrosis through a “multicomponent, multitarget, and multipathway” mean. Findings in this work lay foundation for further exploration of the FXF mechanism in the treatment of pulmonary fibrosis.
Published: 2021

19. Molecular mechanisms of An-Chuan Granule for the treatment of asthma based on a network pharmacology approach and experimental validation

Author: Zhong-Hua Pang, Cheng Tang, Xiao-Li Chen, Qi-Yong Zhu, and Qing-Ling Xiao
Subjects: 0301 basic medicine, Male, Respiratory System, Biophysics, Inflammation, Mucin 5AC, Biochemistry, T-Lymphocytes, Regulatory, 03 medical and health sciences, Mice, 0302 clinical medicine, RAR-related orphan receptor gamma, NLR Family, Pyrin Domain-Containing 3 Protein, medicine, Animals, Receptor, Molecular Biology, Lung, Research Articles, Orphan receptor, Mice, Inbred BALB C, medicine.diagnostic_test, business.industry, Tumor Necrosis Factor-alpha, Interleukins, Toll-Like Receptors, NF-kappa B, FOXP3, Forkhead Transcription Factors, Cell Biology, Nuclear Receptor Subfamily 1, Group F, Member 3, Therapeutics & Molecular Medicine, Asthma, respiratory tract diseases, An-Chuan Granule, 030104 developmental biology, Bronchoalveolar lavage, 030220 oncology & carcinogenesis, Immunology, TLR4, Th17 Cells, Tumor necrosis factor alpha, medicine.symptom, business, Th17/Treg balance, Network pharmacology, Drugs, Chinese Herbal
Abstract: An-Chuan Granule (ACG), a traditional Chinese medicine (TCM) formula, is an effective treatment for asthma but its pharmacological mechanism remains poorly understood. In the present study, network pharmacology was applied to explore the potential mechanism of ACG in the treatment of asthma. The tumor necrosis factor (TNF), Toll-like receptor (TLR), and Th17 cell differentiation-related, nucleotide-binding oligomerization domain (NOD)-like receptor, and NF-kappaB pathways were identified as the most significant signaling pathways involved in the therapeutic effect of ACG on asthma. A mouse asthma model was established using ovalbumin (OVA) to verify the effect of ACG and the underlying mechanism. The results showed that ACG treatment not only attenuated the clinical symptoms, but also reduced inflammatory cell infiltration, mucus secretion and MUC5AC production in lung tissue of asthmatic mice. In addition, ACG treatment notably decreased the inflammatory cell numbers in bronchoalveolar lavage fluid (BALF) and the levels of pro-inflammatory cytokines (including IL-6, IL-17, IL-23, TNF-alpha, IL-1beta and TGF-beta) in lung tissue of asthmatic mice. In addition, ACG treatment remarkably down-regulated the expression of TLR4, p-P65, NLRP3, Caspase-1 and adenosquamous carcinoma (ASC) in lung tissue. Further, ACG treatment decreased the expression of receptor-related orphan receptor (RORγt) in lung tissue but increased that of Forkhead box (Foxp3). In conclusion, the above results demonstrate that ACG alleviates the severity of asthma in a ´multi-compound and multi-target’ manner, which provides a basis for better understanding of the application of ACG in the treatment of asthma.
Published: 2021

20. Comparison of new magnetic resonance imaging grading system with conventional endoscopy for the early detection of nasopharyngeal carcinoma

Author: Hui Li, Su Mei Cao, Wen-Jie Chen, Yi Xin Zeng, Shang Hang Xie, Anna E. Coghill, Ruth M. Pfeiffer, Wei Ling, Chuan Miao Xie, Qi Yong H. Ai, Carole Fakhry, Xiao Xia Chen, Yu Qiang Lu, Allan Hildesheim, Zhiwei Liu, Kelly J. Yu, Zi Jian Lu, Qi Hong Huang, Ann D. King, Lin Wang, and Lin Quang Tang
Subjects: Adult, Cancer Research, medicine.medical_specialty, Epstein-Barr Virus Infections, Herpesvirus 4, Human, Population, Early detection, Context (language use), Endoscopy, Gastrointestinal, Biopsy, Medicine, Humans, education, Early Detection of Cancer, Aged, education.field_of_study, Nasopharyngeal Carcinoma, medicine.diagnostic_test, business.industry, Carcinoma, Magnetic resonance imaging, Endoscopy, Nasopharyngeal Neoplasms, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Oncology, Nasopharyngeal carcinoma, Radiology, business, Cohort study
Abstract: BACKGROUND Although stratifying individuals with respect to nasopharyngeal carcinoma (NPC) risk with Epstein-Barr virus-based markers is possible, the performance of diagnostic methods for detecting lesions among screen-positive individuals is poorly understood. METHODS The authors prospectively evaluated 882 participants aged 30 to 70 years who were enrolled between October 2014 and November 2018 in an ongoing, population-based NPC screening program and had an elevated NPC risk. Participants were offered endoscopy and magnetic resonance imaging (MRI), and lesions were identified either by biopsy at a follow-up endoscopy or further contact and linkage to the local cancer registry through December 31, 2019. The diagnostic performance characteristics of endoscopy and MRI for NPC detection were investigated. RESULTS Eighteen of 28 identified NPC cases were detected by both methods, 1 was detected by endoscopy alone, and 9 were detected by MRI alone. MRI had significantly higher sensitivity than endoscopy for NPC detection overall (96.4% vs 67.9%; Pdifference = .021) and for early-stage NPC (95.2% vs 57.1%; P = .021). The sensitivity of endoscopy was suggestively lower among participants who had previously been screened in comparison with those undergoing an initial screening (50.0% vs 81.2%; P = .11). The authors observed a higher overall referral rate by MRI versus endoscopy (17.3% vs 9.1%; P < .001). Cases missed by endoscopy had early-stage disease and were more commonly observed for tumors originating from the pharyngeal recess. CONCLUSIONS MRI was more sensitive than endoscopy for NPC detection in the context of population screening but required the referral of a higher proportion of screen-positive individuals. The sensitivity of endoscopy was particularly low for individuals who had previously been screened.
Published: 2021

21. Accuracy of brush cytology in biliopancreatic strictures: a single-center cohort study

Author: Songming Ding, Qi-Yong Li, Muhammad Ibrahim Alhadi Edoo, Bing-Qian Xu, Shao-Hua Shi, Aili Lu, and Shusen Zheng
Subjects: medicine.medical_specialty, Medicine (General), endoscopic retrograde cholangiopancreatography, diagnosis, Cytodiagnosis, Brushing cytology, Constriction, Pathologic, Single Center, Biochemistry, Sensitivity and Specificity, digestive system, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, R5-920, Cytology, Retrospective analysis, Cell brushing, Medicine, Humans, Retrospective Studies, Cholangiopancreatography, Endoscopic Retrograde, Endoscopic retrograde cholangiopancreatography, medicine.diagnostic_test, business.industry, Brush cytology, Biochemistry (medical), Cell Biology, General Medicine, pancreaticobiliary malignancies, retrospective analysis, Bile Duct Neoplasms, Biliary tract, 030220 oncology & carcinogenesis, cytology, 030211 gastroenterology & hepatology, Radiology, business, Cohort study, Retrospective Clinical Research Report
Abstract: Objective False positive and negative results are associated with biliary tract cell brushing cytology during endoscopic retrograde cholangiopancreatography (ERCP). The causes are uncertain. The purpose of this study was to evaluate the accuracy of diagnoses made via cell brushing in our center, and to explore the factors influencing diagnosis. Methods The clinical data of patients who underwent cell brushing at our center from January 2016 to August 2019 were retrospectively analyzed. These included age, gender, stricture location, thickness of the bile duct wall in the narrow segment, maximum diameter of the biliary duct above the stricture, number of cell brush smears, carbohydrate antigen 19-9, and carcinoembryonic antigen. Positive brush cytology results were compared with results of surgical histology or tumor biopsy as well as with the patient’s clinical course. Results Of the 48 patients who underwent cell brushing cytology, 27 (56.3%) had positive results. The sensitivity and specificity of biliary duct cell brushing was 79.4%, and 85.7%, respectively. None of the above-mentioned factors were associated with positive cytology brushing results. Conclusions Cell brushing cytology remains a reliable method for diagnosis of pancreaticobiliary malignancies.
Published: 2021

22. Imaging of head and neck mucosa-associated lymphoid tissue lymphoma (MALToma)

Author: Qi-Yong Ai, K. W. S. Ko, Ann D. King, and Kunwar S.S. Bhatia
Subjects: lcsh:Medical physics. Medical radiology. Nuclear medicine, Diagnostic Imaging, Pathology, medicine.medical_specialty, Marginal zone B-cell lymphoma, lcsh:R895-920, Mucosa-associated lymphoid tissue, Review, Disease, lcsh:RC254-282, Imaging, 030218 nuclear medicine & medical imaging, Diagnosis, Differential, Pathogenesis, Head and neck, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Ultrasonography, Radiological and Ultrasound Technology, business.industry, Lymphoma, B-Cell, Marginal Zone, General Medicine, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, medicine.disease, Marginal zone, Magnetic Resonance Imaging, Lymphoma, Lymphatic system, Oncology, Head and Neck Neoplasms, 030220 oncology & carcinogenesis, Tomography, X-Ray Computed, business
Abstract: Marginal zone B-cell lymphoma of mucosa-associated lymphoid tissue (MALToma) arises in extranodal sites in the head and neck. Chronic inflammatory, infectious or autoimmune conditions are implicated in its pathogenesis. Within the head and neck, MALToma is often multifocal and indolent and the imaging appearances may be mistaken for non-malignant disease in the head and neck. The aim of this article is to illustrate the varied radiological and clinical features of MALToma in the head and neck, an awareness of which is needed for timely and correct diagnosis to guide subsequent disease management.
Published: 2021
Full Text: View/download PDF

23. Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

Author: Stephen R Knight, Catherine A Shaw, Riinu Pius, Thomas M Drake, Lisa Norman, Adesoji O Ademuyiwa, Adewale O Adisa, Maria Lorena Aguilera, Sara W Al-Saqqa, Ibrahim Al-Slaibi, Aneel Bhangu, Bruce M Biccard, Peter Brocklehurst, Ainhoa Costas-Chavarri, Kathryn Chu, Anna Dare, Muhammed Elhadi, Cameron J Fairfield, J Edward Fitzgerald, Dhruv Ghosh, James Glasbey, Mark I. van Berge Henegouwen, J.C. Allen Ingabire, T Peter Kingham, Marie Carmela Lapitan, Ismaïl Lawani, Bettina Lieske, Richard Lilford, Janet Martin, Kenneth A McLean, Rachel Moore, Dion Morton, Dmitri Nepogodiev, Faustin Ntirenganya, Francesco Pata, Thomas Pinkney, Ahmad Uzair Qureshi, Antonio Ramos-De la Medina, Aya Riad, Hosni Khairy Salem, Joana Simões, Richard Spence, Neil Smart, Stephen Tabiri, Hannah Thomas, Thomas G Weiser, Malcolm West, John Whitaker, Ewen M Harrison, Arben Gjata, Maria Marta Modolo, Sebastian King, Erick Chan, Sayeda Nazmun Nahar, Ade Waterman, Dominique Vervoort, Alemayehu Ginbo Bedada, Bernardo De Azevedo, Ana Gabriela Figueiredo, Manol Sokolov, Venerand Barendegere, Gerald Ekwen, Arnav Agarwal, Qinyang Liu, Juan Camilo Correa, Kalisya Luc Malemo, Jacques Bake, Jakov Mihanovic, Kamila Kuncarová, Julius Orhalmi, Hosni Salem, Jyri Teras, Aristotelis Kechagias, Alexis P Arnaud, Judith Lindert, Vasileios Kalles, Maria-Lorena Aguilera-Arevalo, Gustavo Recinos, Zsolt Baranyai, Basant Kumar, Harish Neelamraju Lakshmi, Sanoop Koshy Zachariah, Philip Alexander, Sunil Kumar Venkatappa, C Pramesh, Radhian Amandito, Christina Fleming, Luca Ansaloni, Gianluca Pellino, Ahmed M. Altibi, Ibrahim Nour, Intisar Hamdun, Ali M. Ghellai, Donatas Venskutonis, Tomas Poskus, Justas Zilinskas, Precious Malemia, Yong Yong Tew, Elaine Borg, Sarah Ellul, fatima Zahraa Wafqui, David W Borowski, Anne Sophie van Dalen, Cameron Wells, Harissou Adamou, Adesoji Ademuyiwa, Adewale Adisa, Kjetil Søreide, Sara Al Saqqa, Osaid Alser, Haya Tahboub, Helmut Alfredo Segovia Lohse, Sebastian Shu Yip, Piotr Major, António Sampaio Soares, Matei Razvan Bratu, Andrey Litvin, Armen Vardanyan, JC Allen Ingabire, Ahmad Gudal, Naif Albati, Jovan Juloski, Miran Rems, Sarah Rayne, Stephanie Van Straten, Yoshan Moodley, Irene Ortega Vázquez, Jaime Ruiz-Tovar, Kithsiri Janakantha Senanayake, Sujeewa Priyantha Bandara Thalgaspitiya, Omer Abdelbagi Omer, Anmar Homeida, Yucel Cengiz, Daniel Clerc, Muhammad Alshaar, Hanen Bouaziz, Yuksel Altinel, Matthew Doe, Maryna Freigofer, Ella Teasdale, Rakan Kabariti, Joshua Michael Clements, Stephen Richard Knight, Ahsan Ashfaq, Ijeoma Azodo, Gabriela Wagner, Ivan Trostchansky, Mayaba Maimbo, David Linyama, Helidon Nina, Amanda Zeko, Claudio Gabriel Fermani, Santiago Villalobos, Federico Carballo, Pablo Farina, Sebastian Guckenheimer, Marilla Dickfos, Ankit Ajmera, Chester Chong, Ralph Gourlay, Sikandar Hussaini, Yi Jia Lee, Adeeb Majid, Peter Martin, Rebecca Miles, Owen James Morris, Jamie Phua, William Ridley, Tarunpreet Saluja, Ryan Renxin Tan, Jen Teh, Anna Wells, Bharti Arora, Qaasim Dollie, Debbie Ho, Yanru Ma, Omattage Mahasha Perera, Anthony Truong, Amanda Caroline Dawson, Bryan Lim, Upuli Pahalawatta, Jacqueline Phan, Xiao-Ming Sarah Woon-Shoo-Tong, Andrea Yeoh, Lillian Charman, Andrew Drane, Sharon Laura, Charmaine Chu Wen Lo, Amy Mozes, Rita Poon, Hao Han Tan, Ellen Wall, Prakshi Chopra, Jasmine De Giovanni, Bal Dhital, Brian Draganic, Alexander Duller, Jonathan Gani, Yao Kuan Goh, Jun Young Jeong, Brendan McManus, Prakash Nagappan, Peter Pockney, Anya Rugendyke, Mahsa Sarrami, Stephen Smith, Vanessa Wills, Hsu Ven Wong, Geoffrey Ye, Geoffrey Zhang, Ethan Brooker, Daniel Feng, Bonnie Lau, Carlin Ngai, Sarah Birks, David Gyorki, Jaime Otero de Pablos, Ali Abbosh, Chris Gillespie, Ahmed Mahmoud, Bianca Kwan, Joshua Lawson, Andrea Warwick, Janne Bingham, Andrew J Cockbain, Nagendra Naidu Dudi-Venkata, Jordan Ellaby-Hall, Ben Finlay, Emily Humphries, Jade Pisaniello, Monique Pisaniello, Salma Salih, Tarik Sammour, Haidar Hadri Abd Wahab, April De Silva, Nicola Hayward, Kartik Iyer, Guy Maddern, Gian Andrea Prevost, Naga Annapureddy, Krishna Pranathi Settipalli, Jeremy Yeo, Lucy Hempenstall, Lily Pham, Shaun Purcell, Cherry Talavera, Ashish I Vaska, Gurpreet Chaggar, Phillip Chrapko, Annelise Cocco, Sarah Michelle Crystal Jade Coulter-Nile, Grahame Ctercteko, James French, Houchen Gong, Martijn Gosselink, Thuvarahan Jegathees, Ivan Jin, Michelle Kalachov, Kathryn Kiefhaber, Katherine Lee, Jason Luong, Steven Phan, Henry Pleass, Kelly Veale, Zhi Zeng, Angela Au, Ashe DeBiasio, Idy Deng, Jananee Myooran, Amrita Nair, Peter Stewart, Anton Stift, Lukas Walter Unger, Kerstin Wimmer, Nabila Ahmed, Syed Hasan, Saber Rahman, Margaret O'Shea, Greg Padmore, Adrian Peters, Pietro Perduca, Guenda Pulcina, Nicolas Tinton, Frederic Buxant, Elsa Dabin, Giulia Garofalo, Francis Dossou, Freddy Houehanou Rodrigue Gnangnon, Yacoubou Imorou Souaibou, Pako Motlaleselelo, Omphile Tlhomelang, Igor Lima Buarque, Gustavo Mendonça Ataíde Gomes, Aldo Vieira Barros, Ilia Batashki, Nikolai Damianov, Vladislav Stoyanov, Dragomir Dardanov, Svilen Maslyankov, Plamen Petkov, George Todorov, Evgeni Zhivkov, Aygulya Akisheva, Miguel Angel Castilla Moreno, Geno Genov, Ivelina Ilieva, Tsvetomir Ivanov, Martin Karamanliev, Azhar Khan, Emil Mitkov, Tsanko Yotsov, Boyko Atanasov, Nikolay Belev, Mihail Slavchev, Carlos Nsengiyumva, Elgan Jones, Simon Stock, Steve Kyota, James Brown, Tresor Mabanza K., Lemery Nigo Samuel, Chidi Otuneme, Ngwang Prosper, Franklin Umenze, Marylise Boutros, Natasha Caminsky, Sinziana Dumitra, Richard Garfinkle, Dominique Morency, Ebram Salama, Alexander Banks, Lorenzo Ferri, Haitian He, Amit Katz, Alexander Sender Liberman, Sarkis Meterissian, Allison Pang, Elena Parvez, Usmaan Hameed, Fahima Osman, Sangita Sequeira, Natalie Coburn, Alisha Jaffer, Paul Karanicolas, Matthew Mosseler, Reilly Musselman, Xinyuan Liu, Ching Wan Yip, Juan Sebastian Garces-Otero, Carolina Guzman, Sebastian Sierra, Andres Uribe Valencia, Paulo Andrés Cabrera Rivera, Saul Camelo, Andrea Gonzalez, Alejandro González-Orozco, Manuel Santiago Mosquera Paz, Carlos J- Perez Rivera, Felipe Gonzalez, Andres Isaza-Restrepo, Laura Nino- Torres, Natalia Arias Madrid, Maria Clara Mendoza Arango, Justin Tsandiraki, Damir Jemendžic, Branislav Kocman, Oliver Šuman, Renata Canic, Darko Jurišic, Ivana Karakas, Ana Krizanovic Rupcic, Vlatka Pitlovic, Josip Samardžic, Mario Kopljar, Ivan Bacic, Edgar Domini, Robert Karlo, Danijela Miljanic, Andrea Simic, Mariam Ahmed, Majdi Al Nassrallah, Rabiya Altaf, Talal Amjad, Ruba Eltoum, Heba Haidar, Alhassan Hassan, Omar Khalil, Marwan Qasem, Rommel Ramesh, Gautham Sajith, Maham Wisal, Jan Žatecký, Michele Bujda, Katerina Jirankova, Ales Paclik, Aya Abdallah, Mariam Abdulgawad Almogy, Esraa Ayman El-sawy, Ahmed Moustafa ElFayoumy, Nourhan Elghareeb, Nourhan Ahmed Esmat, Ahmed Fadel, Abdullah Habater, Heba Hamdy, Amr Hefni, Marwa Kamal, Norhan Mohamed Abobakr, Ahmed Sayed, Nancy Shaker, Ehab Taha, Hoda Tharwat, Omar Zakaria, Ibrahem Abdelmotaleb, Ali Al-Dhufri, Hamza S. Al-Himyari, Enas El sheikh, Asmaa Eldmaty, Aya Elkhalawy, Ahmed M.Elkhashen, Kithara Magdy, Safa Mostafa, Habib Doutoum Sadia, Mohamed mahmoud Saleh, Dina Samir, Mohamed Yahia Mohamed Ali, Mahmoud A. Nassar, Samar Abdelhady, Aly Abdelrazek, Israa Abdelsalam, Aya El-Sawy, Eman Essam, Mohamed Gadelkarim, Khaled Ghaly, Mohamed Hassabalnaby, Rana Masarani, Nourhan Mohamed Shaaban, Ahmed Sabry, Menatalla Salem, Nourhan Akram Soliman, Diaaaldin Zahran, Moustafa Ramadan Abou El.soud, Esraa Tarek Badr, Hala Borham, Nehal Elmeslemany, Mohammad Elsayed, Fawzia Elsherif, Sara Eslam, Gehad Gaber, Sondos Ibrahim, Yara Kamh, Abdelrahman Mahmoud, Shimaa gamal Mohamed, Eman Morshedy, Cinderella Omar, Fatima Salem Soliman, Shaza Abdelkawy, Naglaa Abdelmohsen, Mahmoud Abdelshakour, Ahmed Dahy, Norhan Gamal, Mohammed Gamal, Ahmad Hasan, Helal Hetta, Nehad Mousa, Mohamed Omar, Somia Rabie, Mahmoud Saad, Bakeer Saleh, Marwa Sayed Mohamed, Muhammad Shawqi, Heba Abdelhady Mousa, Mostafa Alnoury, Mohamed Elbealawy, Ahmed Elshafey, Muhammad Essam Ibrahim El Desouki Muhammad Ahmed, Mennatullah Ghonaim, Fawzy Hgag, Mohamed Ibrahim, Mahmoud Morsy, Mohamed Reda Loaloa, Ahmed Refaat, Hadeer Samir, Fatma Shahien, Mohamed Sobhy, Fathy Sroor, Esraa Abdellatif, Marina Adel, Amr Abdelghani Afifi, Eman Afifi, Marco Antaky, Amr Dawoud, Naira El Zoghby, Amira El-remaily, Ali Abdelazez Elzanfaly, Ahmed Gadallah, Fatma Alzahraa Gamal, Omar Hashem, Shrouk Medhat Youssef, Aliaa Muhammad Attyah, Malak Munir, Omar Shazly, Esraa Taha, Karim Wilson, Sawsan Adel, Asmaa Ali, Esraa Eid, Esraa Elhelow, Marwa Elmahdy, Bassant Elshatby, Amany Hossam el-din Zakaria, Ahmad Hossny, Eman Ibrahim, Ahmed M.Yonis, Maram Metwalli, Basant Yousry, Esraa Zid, Mina A Yacoub, Ahmed Abdelhakim, Nervana Abouelsoad, Mo'min Alkhatib, Ahmed Ashraf, Alaa Ashraf, Yasmin Elazab, Mahmoud Elfanty, Osama Elkabir, Mai Elsayed, Ahmed Elshimy, Hager Elsobky, John Eskander, Ahmed Gad, Ward Hamsho, Noura Khaled Abdelwahed, Menna Magdy, Dalia Moharam, Abeer Osama, Shereen Ramadan, Radwa Roum, Taqwa Sayed, Tarneem Shehada, Ahmed Mohy Zidan, Khalid Abbas, Amr Ali, Mohamed Attia, Mohamed Balata, Ayman El Nakeeb, Mohamed Ibrahim Elsayed Elewaily, Ahmed Elfallal, Hossam Elfeki, Ahmed Elkhadragy, Sameh Emile, Helmy Ezzat, Hasnaa Hosni, Islam Mansour, Waleed Omar, Gehad Othman, Kareem Sadek, Mostafa Shalaby, Noura Shehab-Eldeen, Rawda Anas khalifa, Helmy Badr, Mostafa Eldeep, Ahmed Eldeep, Amany Eldoseuky mohammed, Salwa Khallaf, Eman Magdy Hegazy, Rokia Mahmoud, Pola Mikhail, Mahmoud Morsi, Sara Mowafy, Dina Raafat, Amina Safy, Marwa Sera, Ahmed shible Sera, Mostafa Salim Mohamed AbdAllah, Muhammad Abdelkader, Abdulrahman Osama Abdou, Ahmedgaber Ahmed, Shireen Gaafar, Fatma Ibrahim negm, Mina Lapic, Ahmed Maher, Hagar Mahmoud, Ahmed Mostafa, Mohamed Samir, Fatma Samy, Nourhan Semeda, Hind I. Shalaby, Alaa El-taweel, Ahmed Galal Elnagar, Ahmed Gamal Hemidan, Mohamed Hussein, Ahmed.A. Kandil, Mf Moawad, Ayat Allah Nasser Hamamah, Mostafa Soliman, Mohamed Abdelkhalek, Noura Abdelmaksoud Tawakel, Ahmed Mohamed Abdelwahed, Alrawy Abdou, Khalid Atallah, Mohammed Yasser Elsherbeny, Eman Emara, Mohamed Hamdy, Omar Hamdy, Amira Haron, Salma Ismail, Islam Hany Metwally, Nihal Mohamed Hamed Elgaml, Ahmed Nassar, Basel Refky, Mirna Sadek, Mahmoud Saleh, Asmaa Yunes, Mai Zakaria, Mohammed Zuhdy, Notila Fayed, Mohammed Mustafa Hassan Mohammed, Sander Kütner, Priit Melnik, Indrek Seire, Toomas Ümarik, Eppu Ainoa, Verner Eerola, Hanna Koppatz, Laura Koskenvuo, Ville Sallinen, Sini Takala, Jevgeni Katunin, Arto Turunen, Niki Christou, Muriel Mathonnet, Vincent Lavoue, Krystel Nyangoh Timoh, Lucie Soulabaille, Romain Lesourd, Aude Merdrignac, Laurent Sulpice, Benoît André, Elodie Chantalat, Charlotte Vaysse, Bertrand Dousset, Sebastien Gaujoux, Gregory Martin, Octavian Clonda, Domantas Juodis, Klaus Kienle, Andras Mravik, Samuel Palmer, Gabor Szabadhegyi, Anita Eseenam Agbeko, Solomon Gyabaah, Frank Enoch Gyamfi, Nuhu Naabo, Atta Owusu senior, Joseph Yorke, Frank Owusu, Francis Abantanga, Theophilus Teddy Kojo Anyomih, Abdul-Jalilu Mohammed Muntaka, Emmanuel Owusu Abem, Mohammed Sheriff, Paul M. Wondoh, Dimitrios Balalis, Dimitrios Korkolis, Georgios Gkiokas, Eirini Pantiora, Theodosios Theodosopoulos, Argyrios Ioannidis, Konstantinos Konstantinidis, Sofia Konstantinidou, Nikolaos Machairas, Anna Paspala, Anastasia Prodromidou, Christos Chouliaras, Konstantinos Papadopoulos, Ioannis Baloyiannis, Ioannis Mamaloudis, George Tzovaras, Ioanna Akrida, Maria-Ioanna Argentou, Stylianos Germanos, Evangelos Iliopoulos, Ioannis Maroulis, George Skroubis, George Theofanis, Christos Chatzakis, Orestis Ioannidis, Lydia Loutzidou, Panagiotis Karathanasis, Nikolaos Michalopoulos, Charalampos Theodoropoulos, Dimitrios Theodorou, Tania Triantafyllou, Zoe Garoufalia, Natasha Hasemaki, Michalis Kontos, Gregory Kouraklis, Stylianos Kykalos, Theodore Liakakos, Eustratia Mpaili, Alexandros Papalampros, Dimitrios Schizas, Athanasios Syllaios, Ekaterini Christina Tampaki, Antonios Tsimpoukelis, Maria Ioanna Antonopoulou, Eirini Deskou, Dimitrios K. Manatakis, Dimitrios Papageorgiou, Menelaos Zoulamoglou, Christos Anthoulakis, Michalis Margaritis, Nikolaos Nikoloudis, Veronica Campo, André Ceballos, Mario-Andrés Flores, Waleska Giron, Donghyun Ko, Gabriel Martinez, Verónica Rivera Lara, Nataly Rueda, Andres Sanchez, Jorge Carlos Guillermo Tejeda Garrido, Alvaro Eduardo Alvarez Rivera, Elvis Benjamin Bamaca Ixcajoc, Lilian Elizabeth Barreda Zelaya, Patricia Chacòn-Herrera, Ligia Margarita Corea Ruiz, Guillermo Echeverria-Davila, Mario Garcia, Danilo García, Edgar Fernando Gutiérrez Mayen, Noriega José, Nery Mazariegos, Diego Méndez, Michael Paniagua Espinoza, David Bardos, Marton Benke, Kristof Illes, Balint András Kokas, Réka Szabó, Akhila Appukuttan, Anjitha Asok, Vijaykumar D.k, Kapil Malik, Praveen Ravishankaran, Ritesh Tapkire, Guru Moorthy, Joyner Abraham, Ramesh Muthuvel, John Alapatt, Abhay Kattepur, Nizamudheen Pareekutty, Mebanshanbor Garod, Caleb Harris, Cliff Wanniang, Ashish Gupta, Deepak Nehra, Sanjeev Parshad, Rajgopal Acharya, Rajendra Badwe, Manish Bhandare, Urvashi Jain, Karishma Kirti, Nita Nair, Shailesh Shrikhande, Purvi Thakkar, Premkumar Anandan, Archana C S, Arun Holenarasipur Narasannaiah, Tejaswi Jagarlamudi, Rashmi M R, Mallikarjuna Manangi, Abhishek Raghavendra, K. Seshagiri Rao, Vinay S, Vinay Sajjan, Aneesh Shenoy, Santhosh Shivashankar Chikkanayakanahalli, Kavya Tharanath, Sushmita V, Peter Adidharma, Raksheeth Agarwal, Phebe Anggita Gultom, Ghafur Rasyid Arifin, Matthew Billy, Zatira Elfizri, Alessa Fahira, Devi Felicia, Triana Hardianti Gunardi, Nadya Johanna, Nadia Rahmadiani Nugrahadi, Sonar Soni Panigoro, Siti Rahmayanti, Retta Catherina Sihotang, Santi Yuanita Brata, Hadi Winoto, Nastaran Barati, Manoochehr Karami, Hamidreza Khorshidi, Homa Naderifar, Mazin A. Abdulla, Maggie Coleman, Ronan J Doherty, Rob Hannon, Brenda Murphy, Aine Stakelum, Des Winter, Lylas Aljohmani, Richard Farnan, Yeshey Seldon, Tanna Tan, Shriya Varghese, Mohammad Alherz, Muaaz Ather, Mohammad Bajilan, Vivien Graziadei, Isobel Pilkington, Omar Quidwai, Paul Ridgway, Haaris Shiwani, Abd al-Rahman Tahir, Eimear Blunnie, Daniel Burke, Niall Kennedy, Kate Macdonagh, Maeve O'Neill, Siobhan Rooney, Giuseppe Falco, Guglielmo Ferrari, Simone Mele, Gabriela Elisa Nita, Lara Ugoletti, Maurizio Zizzo, Gianmaria Confalonieri, Giovanni Pesenti, Fulvio Tagliabue, Gianluca Baronio, Deborah Ongaro, Giacomo Pata, Bruno Compagnoni, Renato Salvadori, Lucio Taglietti, Nicola D'Alessandro, Pierpaolo Di Lascio, Giovanni Pascale, Luca Bortolasi, Tommaso Campagnaro, Massimo Carlini, Giorgio Lisi, Davide Lombardi, Corrado Pedrazzani, Domenico Spoletini, Giulia Turri, Paola Violi, Donato Francesco Altomare, Fabrizio Aquilino, Nicola Musa, Vincenzo Papagni, Arcangelo Picciariello, Leonardo Vincenti, Dario Andreotti, Savino Occhionorelli, Matteo Tondo, Stefano Maria Massimiliano. Basso, Riccardo Cirelli, Marco Enrico Mario Maino, Guglielmo Niccolò Piozzi, Emanuele Picone, Rosa Scaramuzzo, Giovanni Sinibaldi, Alfonso Amendola, Lorenzo Anastasio, Luigi Bucci, Emanuele Caruso, Antonio Castaldi, Sara Di Maso, Vincenza Paola Dinuzzi, Giovanni Esposito, Maria Gaudiello, Mariano Cesare Giglio, Paola Antonella Greco, Gaetano Luglio, Andrea Manfreda, Ester Marra, Federica Mastella, Gianluca Pagano, Roberto Peltrini, Vincenzo Pepe, Michele Sacco, Viviana Sollazzo, Giovanni Spiezio, Ettore Cianchetti, Nunzia Menduni, Michele Maria Carvello, Francesca Di Candido, Antonino Spinelli, Fabio Corsi, Luca Sorrentino, Fabio Marino, Emanuele Luigi Giuseppe Asti, Luigi Bonavina, Emanuele Rausa, Martina Asta, Andrea Belli, Francesco Bianco, Carmela Cervone, Paolo Delrio, Armando Falato, Andrea Fares Bucci, Rita Guarino, Ugo Pace, Daniela Rega, Emilia De Luca, Gaetano Gallo, Giuseppe Sammarco, Giuseppe Sena, Giuseppina Vescio, Letizia Santandrea, Giampaolo Ugolini, Davide Zattoni, Nicola Chetta, Gaetano Logrieco, Serafino Vanella, Gianluca Garulli, Nicola Zanini, Andrea Bondurri, Francesco Cammarata, Francesco Colombo, Diego Foschi, Giulia Maria Beatrice Lamperti, Anna Maffioli, Gianluca Matteo Sampietro, Al'ona Yakushkina, Gloria Zaffaroni, Enrico Cicuttin, Maria Grazia Sibilla, Harmony Impellizzeri, Marco Inama, Gianluigi Moretto, Sylvie Mochet, Elisa Ponte, Antonella Usai, Stefano Mancini, Andrea Sagnotta, Luigi Solinas, Elisa Bolzonaro, Nicolò Tamini, Gianluca Curletti, Raffaele Galleano, Michele Malerba, Sofia Campanella, Gianfranco Cocorullo, Francesco Colli, Paolino De Marco, Nicolò Falco, Tommaso Fontana, Leonel jospin Kamdem Mambou, Antonella La Brocca, Leo Licari, Brenda Randisi, Giovanna Rizzo, Giulia Rotolo, Giuseppe Salamone, Roberta Tutino, Paolina Venturelli, Stefano Malabarba, Alessandro Sgrò, Ivan Vella, Bruno Cirillo, Daniele Crocetti, Giorgio De Toma, Pierfrancesco Lapolla, Andrea Mingoli, Paolo Sapienza, Angela Belvedere, Stefania Bianchini, Margherita Binetti, Arianna Birindelli, Valeria Tonini, Mauro Podda, Fabio Pulighe, Michele De Rosa, Lorenzo Bono, Felice Borghi, Paolo Geretto, Maria Carmela Giuffrida, Corrado Lauro, Alessandra Marano, Luca Pellegrino, Paola Salusso, Diego Sasia, Michela Campanelli, Alberto Realis Luc, Mario Trompetto, Roberto Cardia, Nicola Cillara, Antonio Nicola Giordano, Antonio Costanzo, Mario Alessandro Giovilli, Luca Turati, Silvestro Canonico, Guido Sciaudone, Francesco Selvaggi, Lucio Selvaggi, Nader Albsoul, Ahmad AlBsoul, Ala'a Aldeen Alkhatib, Osama Alsallaq, Justin Z. Amarin, Rami Ayoub, Isam Bsisu, M S El Muhtaseb, Mohammad Jabaiti, Jamal Melhem, Yasmeen Z. Qwaider, Mohammad Hasan Salameh, Ahmad Suleihat, Haya H. Suradi, Mohammad Alammarin, Almoutuz Aljaafreh, Mohammad Bani hani, Zeina Bani hani, Farah Bani Hani, Toqa Fahmawee, Shadi Hamouri, Cyrine Katanani, Ra'fat Tawalbeh, Tamara Tawalbeh, Hassan Zawahrah, Mohamad K. Abou Chaar, Lana Abusalem, Mahmoud Al-Masri, Hani Al-Najjar, Lutfi Barghuthi, Zahra Ahmed, Adnan Maulana, Omar Ngotho, Charbel Kamau, Aruyaru Stanley Mwenda, Fridah Bosire, Elizabeth Mwachiro, Robert Parker, Ian Simel, Kimutai Sylvester, Abdulmunem Ahmed Mustafa Althini, Sofian Elbarouni, Aya Elseed Elbeshina, Ahmed Gwea, Ans Malek, Wedad Albashir Masoud Farag, Abdulwahab Abdalei, Abu Baker Abdel Malik, Areej Abo-khammash, Ma'aly Abuhlaiga, Nour Adnan, Marwa Albaggar, Asma Alfitory, Asma Aljanfi, Fakhruddin Almuzghi, Zohoor Altumei, Fatima Alzabti, Hana Ashoushan, Mohamed Assalhi, Joma Azzubia, Sondos Bnhameida, Malik Delhen, Houssein Elshafei, Hana Elteir, Fatima Esbaga, Abdel Aziz Gobbi, Fatma Hamouda, Hamdan Hilan, Rania Ismail, Fieruz Jebran, Muataz Kasbour, Galia Maderi, Saja Mohammad, Burooj Mohammed, Habib Murtadi, Hamassat Mustafa, Mohamed Rajab, Sarah Trenba, Mariam Wafaa, Eman Al Sagheir, Alabas Almigheerbi, Ahmed Alzahaf, Sumayyah Ghayth Bahroun, Najah Ben Dallah, Mahmoud Elshaibani, Haitem Eswaye, Maha Karar, Samah Omar, Eman Younes, Maha Younes, Dafer Zreeg, Saleh Abujamra, Firas Ashour, Mala Elgammudi, Wesal Omar F. Aljadidi, Enas Saddouh, Randa Sharif, Aya Alabuzidi, AbdulMawlay Alwerfally, Sarra Aribi, Fatma Bibas, Taha Elfaituri, Yasmine Elhajjaji, Ala Khaled, Wegdan Khalil, Tesneem Layas, Enas Soula, Ahmed Tarek, Muad fathi khalleefah Abu hallalah, Hazem Abdelkarem Ahmed, Tagwa Alsharef, Abdulsalam Ali Ben Saoud, Tasnim El Gharmoul, Ahmed Elhadi, Safa Elrais, Abdulhalim Shebani, Heba Zarti, Asaid Zeiton, Marijus Ambrazevicius, Nerijus Kaselis, Migle Stakyte, Oleg Aliosin, Agne Cizauskaite, Sarunas Dailidenas, Vitalijus Eismontas, Migle Kybransiene, Vitalija Nutautiene, Narimantas Samalavicius, Dainius Simcikas, Algirdas Slepavicius, Albinas Tamosiunas, Nerijus Ubartas, Paulius Zeromskas, Saulius Bradulskis, Edvinas Dainius, Juozas Juocas, Egle Kubiliute, Juozas Kutkevicius, Aurimas Opolskis, Audrius Parseliunas, Andrejus Subocius, Egle Virbickaite, Diana Zuikyte, Algirdas Bogusevicius, Kristina Buzaite, Daiva Cepuliene, Ieva Cesleviciene, Vaidotas Cesna, Jolanta Gribauskaite, Povilas Ignatavicius, Mantas Jokubauskas, Monika Liugailaite, Ernest Margelis, Ruta Mazelyte, Lina Pankratjevaite, Matas Pažusis, Agne Rackeviciute, Justina Saladyte, Monika Škimelyte, Vygintas Šlenfuktas, Monika Sudeikyte, Algimantas Tamelis, Tomas Vanagas, Žygimantas Žumbakys, Aivaras Atkociunas, Audrius Dulskas, Justas Kuliavas, Justas Birutis, Sigitas Paškevicius, Mindaugas Šatkauskas, Donatas Danys, Matas Jakubauskas, Lina Jakubauskiene, Marius Kryzauskas, Vytautas Lipnickas, Gabija Makunaite, Fanjandrainy Rasoaherinomenjanahary, Herizo Rasolofonarivo, Luc Hervé Samison, Bitiel Banda, Vanessa Msosa, Ahmad Imran Ahmad Izzuddin, Andre Das, Ying Yee Gan, Tan Shong Sheng, Jia yng Siaw, Mohd Fadliyazid Ab Rahim, Dyg Zahratul Hamrak Abang Jamari, Nurfariza Che Husin, Muhd Yusairi Kamarulzaman, Yi Ping Lim, Nil Amri Mohamed Kamil, Mohd Razeen Mohd Hassan, Saidah Mohd Sahid, Johari Mustafa, Elaine Hui Been Ng, Wan Khamizar Wan Khazim, Ng Chang Ern, P.g. Lingeshan, Syariz Ezuan Sulaiman, Sue Ean Ang, Muhammad Navid Bin Mohamad Sithik, Yih Jeng Cheong, Mahadevan Deva Tata, Law Jia Xian, Aravinthan Kadravello, I-Ern Koh, Li-Yen Ng, Yuki Julius Ng We Yong, Kandasami Palayan, Chi Xuan Sam, Phuah Siow Jin, Jeremy Tan Ern Hwei, Yita Tang, Alvin Zubin Ter, Michael Pak-Kai Wong, Andee Dzulkarnaen Zakaria, Zaidi Zakaria, Fitjerald Henry, Thyivya Kalaiselvan, Muhammad Fairuz Shah Abd Karim, Mohamed Rezal Abdul Aziz, Nora Abdul Aziz, Tak Loon Khong, Peng Choong Lau, Hiong Chin Lim, April Camilla Roslani, Jonathan Chen Ken Seak, Sui-Weng Wong, Lai Fen Wong, Leow Yeen Chin, Mercy Chinemerem Anyanwu, Zachary Busuttil, Thomas Calleja, Kurt Lee Chircop, Ruth Cutajar, Andrew Michael Dimech, Joseph Galea, Kiara Gascon Perai, Ruth Gatt, Lisa Kelman, Elizabeth Micallef, Favour Nwolu, Kim Sammut, Joanna Thompson, Sean Warwicker, Matthew Zammit, Fernando Cordera, Efraín Cruz González, Jorge Sánchez-García, Francisco José Barbosa Camacho, Francisco Javier Barrera López, Carlos Jose Zuloaga Fernandez del Valle, Eric Acosta, Iván Romarico González Espinoza, Perla Moreno, Ana Olivia Cortes-Flores, Clotilde Fuentes Orozco, Alejandro Gonzalez Ojeda, Samantha Corro Díaz González, Laura Martinez, Bonifacio Mosqueda Amador, Armando Novoa, Dennet Arturo Olazo Espejo, Alejandro Jimenez, Federico Lopez Rosales, Elva Gabriela Vanoye, Luis Alberto Garcia Gonzalez, Roberto Carlos Miranda-Ackerman, Manuel Solano-Genesta, Alethia Alvarez-Cano, Hector Hugo Romero-Garza, Heriberto Medina-Franco, Lorelí Mejía-Fernández, Noel Salgado-Nesme, Omar Vergara-Fernandez, Guadalupe Montserrat Gutiérrez-Mota, Francisco Xavier Hernandez Vera, Anabella Llantada Lopez, Gilberto Morgan Villela, Felipe de Jesus Ramirez Padilla, Walezka Tapia Marin, Mónica Martínez Maldonado, Ramses Sánchez Suárez, José Manuel Troche, Chaymae Benyaiche, Oumaima Outani, Souadka Amine, Amine Benkabbou, Anass Mohammed Majbar, Raouf Mohsine, Ali Rafik, Thida Oung, Moe Moe Tin, Philipp Plarre, Anna Alberga, Nina Sluiter, Jurriaan Tuynman, Robin Blok, Didem Cömert, Roel Hompes, Marianne Kalff, Merel Elisabeth Stellingwerf, Pieter Tanis, Mark van Berge Henegouwen, Elise Maria van Praag, Daan Wisselink, Michael Gerhards, Josephine Lopes Cardozo, Emma Westerduin, Joske de Jonge, Aaw van Geloven, Kaz van Schilt, Frank den Boer, Simone Stoots, Stijn Vlek, Jamie Adams, Ibrahim S. Al-Busaidi, Gabrielle Budd, Seung il Choi, Michael Jen Jie Chu, Anurag Ganugapati, Lucy McKinstry, Rebecca Pascoe, Simon Richards, Kenrick Rosser, Annie Stevenson, Rebecca White, Shebani Farik, Jin Kwun, Ahmed Murad, Sarah Cowan, Timothy Hall, Michael Hayton, Laminou Malam Sani, Souleymane Oumarou Garba, Ibrahim Amadou Magagi, Oumarou Habou, Halima Aliyu, Muhammad Daniyan, Tunde T. Sholadoye, Lawal Abdullahi, Lofty-John Anyanwu, Aminu Mohammad Mohammad, Abubakar Bala Muhammad, Abdurrahman Abba Sheshe, Ibrahim Suleiman, Alaba Adesina, Ajibola Awolowo, Clement Onuoha, Omotayo Salami, Ogechukwu Taiwo, Agboola Taiwo, Stephen Kache, Jerry Godfrey Makama, Danjuma Sale, Olajide Abiola, Akinlabi Ajao, Anthony Ajiboye, Amarachukwu Etonyeaku, Julius Olaogun, Ademola Adebanjo, Opeoluwa Adesanya, Michael Olatunji Afolayan, Olanrewaju Balogun, Ayomide Makanjuola, Samuel Nwokocha, Rufus Wale Ojewola, Thomas Olagboyega Olajide, Adewale Aderounmu, Abdul-Rashid Adesunkanmi, Augustine Agbakwuru, Adeleke Akeem Aderogba, Olusegun Isaac Alatise, Olukayode Arowolo, Oladejo Lawal, Tajudeen Mohammed, Chinedu Ndegbu, Olalekan Olasehinde, Funmilola Wuraola, Akinbolaji Akinkuolie, Arinzechukwu Mosanya, Omobolaji Ayandipo, Peter Elemile, Taiwo Akeem Lawal, Samuel Ali SANI, Stephen Garba, Rebecca Hauwa SANI, Samson Olori, Henry Onyebuashi, Ifeanyi Umoke, Adedire Adenuga, Ademola Adeyeye, Olufemi Habeeb, Bashir Lawal, Abdulrasheed Nasir, Eirik Kjus Aahlin, Didrik Kjønås, Elisabeth Myrseth, Jibran Abbasy, Abdul Alvi, Omair Saleem, Asma Afzal, Anam Nazir, Muhammad Farooq, Ayesha Liaqat, Syed Asghar Naqi, Ali Raza, Muzna Sarfraz, Muhammad Sarwar, Muntaha Banglani, Ambreen Munir, Rahmat Sehrish, Bushra Ayub, Raza Sayyed, Amna Altaf, Saima Ayub, Komal Saeed, Bilal Syed, Sana Amir Akbar, Abdul Wahid Anwer, Ruqayya Naheed Khan, Amina Iqbal Khan, Shahid Khattak, Sameen Mohtasham, Muhammad Asad Parvaiz, Aamir Ali Syed, Abdul Basit Ansari, Noman Shahzad, Tanwir Khaliq, Isbah Rashid, Shahzad Hussain Waqar, Hasan Abu Al-saleem, Amjad Abu Alqumboz, Mohammad Alqadi, Adham Amro, Rawan Assa, Eman Awesat, Rawan Ayyad, Mohammed Hammad, Ayat Haymony, Bassel Hijazi, Bara Hmeidat, Rowaa Lahaseh, Aseel Qawasmi, Alaa Rajabi, Mohammed Shehada, Sundus Shkokani, Yasmine Yaghi, Nadine Yaghi, Mohammad AlZohour, Mohammad Farid, Yousef Mahmoud Habes, Wesam Juba, Yanal Nubani, Abdelrahman Rabee, Mohammad Sa'deh, Saeed Abed, Iyad Al basos, Mohammad Alswerki, Dina Ashour, Israa Awad, Samar Diab, Alaa El Jamassi, Sahar El-Kahlout, Somaya Elhout, Ahmed N K Hajjaj, Doaa Hasanain, Baraa Nabil hajjaj, Mohammed Obaid, Eman Saikaly, Ahmed Salhi, Hiba Al-Tammam, Murad Almasri, Muath Baniowda, Doha Beshtawi, Ali Horoub, Rami Misk, Bayan Mohammad, Rami Qasrawi, Tasnim Sholi, Samar Abu-Nimeh, Abrar Abu-srour, Sadi A. Abukhalaf, Samer Adawi, Barah Alsalameh, Kholoud Ayesh, Muawiyah Elqadi, Ahmad Hammouri, Fatima Karim Mustafa, Natalie Marzouqa, Shatha Melhem, Dima Miqdad, Balqees Mohamad, Mhammed Rawhi, Ayman B. Abu Ahammala, Ahmed Abu Ataya, Israa Abu Jayyab, Samar Al-Shwaikh, Othman Alagha, Mohammed Alasttal, Haneen Awadallah, Mahmood Elblbessy, Jehad Fares, Akram Jarbou, Ibtisam Mahfouz, Moath A. Albahnasawi, Asmaa' Abo mahadi, Hasan Abuelhatal, Ayham Abuelqomboz, Abdelrahman Almoqayyad, Abdallah Alwali, Reem Balaawi, Mahmoud Hamouda, Mohammed Humeid, Abdullah Jedyan, Tasneem Mahmoud Abu hamam, Ghadeer Matar, Ali Salem, Tahani Samra, Nureddin Shaheen, Karam Shihada, Ayoob A.Nemer, Mahmoud Abu Al Amrain, Abdulwhhab Abu Alamrain, Najlaa Abu Jamie, Mohammed R. Abu-Rous, Nada Alfarra, Mohammed AlTaweel, Noor Alwhaidi, Ramadan Hamed, Bader Saqqa, Ahmad Shaheen, Dana Aljaber, Loay Aljaberi, Malak Alwaheidi, Assef Jawaada, Hani Khaldi, Rami Qahoush, Jalil Qari, Rana Saadeh, Ahlam Salim, Aseel Yacoub, Abbas Abbas, Rana Abu shua`ib, Baraa Abu Zainah, Mahmoud AbuSirrees, Basheer Babaa, Ola Barhoush, Asef Belal qadomi, Laith Daraghmeh, Reema Haji, Alaa Khatatbeh, Lana Khatib, Salsabeel Qarariah, Yara Quzmar, Khalil Safadi, Roqaya Salameh, Mohammad Hassan, Shifaa Herzallah, Loai Massad, Ahmed Nazzal, Ranin Nazzal, Dennis Escobar, Gustavo Miguel Machain V, Agustin Rodriguez Gonzalez, Jorge Emerson Chachaima Mar, Nathaly Olga Chinchihualpa Paredes, Vicente Cuba, Walter Lopez, Maria Milagros Niquen Jimenez, Nestor Alberto Sanchez Bartra, Olenka Sapallanay Ojeda, Diego Sequeiros, Andrea Toscano Pacheco, María Vergara, Sol Abarca, Rodrigo Alcorta, Giuliano Borda-Luque, Ivan Edward Eusebio Zegarra, Claudia Luján López, Mirella Marrufo, Cinthya Mogrovejo, Andrea Nomura, Yamile Rodríguez Angeles, Maitza Rosario Vidal Meza, Gabriela Zavala, José Neiser Castillo Arrascue, Jomara Caroline Hidrogo Cabrera, José Julio Mariano Larrea vera, Miguel Osorio, Edgar Alcides Ylatoma Díaz, Mark Anthony Fontanilla, Joseph Roy Fuentes, Anna Leah Salazar, Genieve Dominguez, Marc Paul Lopez, Shiela Macalindong, Mark Augustine Onglao, Arjel Ramirez, Marie Dione Sacdalan, Mayou Martin Tampo, Gemma Leonora Uy, Jeremiah Mangahas, Kenneth Yabut, Joannes Paul Cañete, Bernalynn Eris Cansana, Ernes John Castro, Maria Kaiserin Lipana, Manuel Francisco Roxas, Vlu Jean Zara, Maciej Chrol, Paula Franczak, Michal Orlowski, Piotr Budzynski, Andrzej Budzynski, Pawel Bury, Agata Czerwinska, Jadwiga Dworak, Jacek Dziedzic, Michal Kisielewski, Jan Kulawik, Anna Lasek, Piotr Malczak, Marcin Migaczewski, Michal Pedziwiatr, Magdalena Pisarska, Dorota Radkowiak, Mateusz Rubinkiewicz, Anna Rzepa, Tomasz Skoczylas, Maciej Stanek, Katarzyna Truszkiewicz, Mateusz Wierdak, Marek Winiarski, Piotr Zarzycki, Anna Zub-Pokrowiecka, Piotr Kowalewski, Rafal Roszkowski, Maciej Waledziak, Miguel Tomé, Sara Patrocinio, Ines Guerreiro, Filipe Almeida, Xavier de Sousa, Nuno Monteiro, Maria Teresa Costa Santos, Daniela de Oliveira, Marta Lopes Serra, Daniela Morgado, Christian Neves, Ana Carolina Oliveira, Alice Pimentel, Sofia Silva, Márcia Carvalho, Lúcia Carvalho, Joana Magalhães, Leonor Matos, Tânia Monteiro, Carlota Ramos, Vanessa Santos, José Barbosa, Jose Costa-Maia, Vítor Devezas, Ana Fareleira, Cristina Fernandes, Diana Gonçalves, Henrique Mora, Marina Morais, Fabiana Silva de Sousa, Sara Catarino Santos, Ana Logrado, André Tojal, Edgar Amorim, Miguel F. Cunha, Ana Fazenda, João Pedro Melo Neves, Inês Isabel Sampaio da Nóvoa Gomes Miguel, Diogo Veiga, José Azevedo, Hugo Cardoso Louro, Mariana Leite, Maria Bairos Menezes, Bárbara Gama, Diana Brito, Marta Cristina Cruz Martins, André Graça e Magalhães, Ana Catarina Longras, Rita Lourenço, Diana Matos, Luis Castro, Filipa Policarpo, Joana Romano, Cristina Monteiro, Diogo Pinto, Marina Duarte, Sónia Fortuna Martins, Mariline Oliveira, Diogo Galvão, Lisandra Martins, Anaisa Silva, Viorel Taranu, Bárbara Vieira, Jessica Neves, Simone Oliveira, Hugo Ribeiro, Margarida Cinza, Rosa Felix, Arnaldo Machado, Joana Oliveira, Joana Patrício, Rita Pedroso de Lima, Mário Pereira, Miguel Rocha Melo, Cristina Velez, Alberto Abreu da Silva, Mariana Claro, Daniel Costa Santos, Andreia Ferreira, Hugo Capote, Daniela Rosado, Filipa Taré, Oriana Nogueira, Miguel Ângelo, José Miguel Baiao, Andreia Guimarães, João Marques, Miguel Nico Albano, Marta Silva, Ana Valente da Costa, Teresa Vieira Caroço, Sara Almeida Braga, Ines Capunge, Marta Fragoso, João Guimarães, Bruno Pinto, João Ribeiro, Miguel Angel, Guilherme Fialho, Monica Guerrero, Filipa Campos Costa, Diogo Cardoso, Vasco Cardoso, Magda Alves, Inês Estalagem, Tiago Louro, Cláudia Marques, Rita Martelo, Miguel Morgado, Rita Canotilho, Ana Margarida Correia, Pedro Martins, Mariana Peyroteo, João Gomes, Rita Monteiro, Manuela Romano, Daniela Macedo Alves, Rita Peixoto, Catarina Quintela, Maria João Jervis, Débora Melo, André Pacheco, Valter Paixão, Vera Pedro, Joana Pimenta, João Pimenta de Castro, Ana Rocha, Mircea Beuran, Cezar Ciubotaru, Bogdan Diaconescu, Sorin Hostiuc, Ionut Negoi, Bogdan Stoica, NA NA, Evgeny Anokhin, Georgy Kuznetsov, Giorgi Oganezov, Fedor Paramzin, Ekaterina Romanova, Valeryan Rutkovskii, Vasilii Rutkovskii, Mikhail Shushval, Mikhail Zabiyaka, Khasan Dzhumabaev, Valerii Ivanov, Zaman Mamedli, Sergey Achkasov, Artem Balkarov, Elnur Nabiev, Marat Nagudov, Evgeny Rybakov, Karina Saifutdinova, Oleg Sushkov, Lule Joseph, Isaac Ndayishimiye, Ntirenganya Faustin, Alphonse Zeta Mutabazi, Jean Paul Mvukiyehe, Vizir J.P Nsengimana, Carine Uwakunda, Mohammad Monir Abbas, Nouf Akeel, Murad Aljiffry, Kholoud Awaji, Ali Farsi, Ghader Jamjoum, Ahmad Khoja, Ashraf Maghrabi, Nadim Malibary, Mohammed Nassif, Abdulaziz Saleem, Abdullah Sultan, Wail Tashkandi, Hanaa Tashkandi, Nora Trabulsi, Mouhamadou Bachir Ba, Adja Coumba Diallo, Abdourahmane Ndong, Vladica Cuk, Uroš Jankovic, Sharon Zhiling Koh, Frederick Koh, Kuok Chung Lee, Kai Yin Lee, Sean Lee, Wei Qi Leong, Su Ann Lui, Prajwala Prakash, Jan Grosek, Gregor Norcic, Ales Tomazic, Nicolas Fitchat, Robert Jaich, Devorah Wineberg, Modise Zacharia Koto, Daniella Baiocchi, Damian Clarke, Christina Johanna Steenkamp, Sharon Bannister, Adam Boutall, Galya Chinnery, Anna Coccia, Angela Dell, Parveen Karjiker, Christo Kloppers, Nicholas Loxton, Tumi Mabogoane, Francois Malherbe, Eugenio Panieri, Shreya Rayamajhi, Tirsa van Wyngaard, Claire Warden, T E Madiba, Nivashen Pillay, Savannah Brooks, Charlise Kruger, Lisa Hannah Van Der Merwe, Ferhana Gool, Maahir Kariem, Heather Bougard, Nazmie Kariem, Fazlin Noor, Reantha Pillay, Leandi Steynfaardt, Lucía González González, José Miguel Marín Santos, Paula Martín-Borregón, Javier Martínez Caballero, Cristina Nevado García, Pastora Rodriguez Fraga, Gonzalo De Castro Parga, Maria Pilar Fernández Veiga, Lucía Garrido López, Hugo Infante Pino, Irene Lages Cal, Marta López Otero, Manuel Nogueira Sixto, Marta Paniagua García Señorans, Laura Rodríguez Fernández, Alejandro Ruano Poblador, Erika Rufo Crespo, Raquel Sanchez-Santos, Vincenzo Vigorita, Ester Alonso Batanero, Dorisme Asnel, Isabel Cifrian Canales, Elisa Contreras Saiz, Irene De Santiago Alvarez, Tamara Díaz Vico, Sebastian Fernandez Arias, Daniel Fernández Martínez, Carmen García Bernardo, Luis Joaquín García Flórez, Carmen Garcia Gutierrez, Manuel García Munar, Carlos Alberto Márquez Zorrilla Molina, Marta Merayo, José Luis Michi Campos, Maria Moreno Gijon, Jorge L. Otero-Diez, Jose Luis Rodicio Miravalles, Lorena Solar-Garcia, Aida Suárez Sánchez, Nuria Truan, Cristina Alejandre Villalobos, Yurena Caballero Díaz, Marta Jimenez, Dacil Montesdeoca, Antonio Navarro-Sánchez, Victor Vega, Juan Beltrán de Heredia, Zahira Gómez, Carlos Jezieniecki, Ana Patricia Legido Morán, Mario Montes-Manrique, Mario Rodriguez-Lopez, María Ruiz Soriano, Jeancarlos Trujillo Díaz, Andrea Vazquez Fernandez, Nuria Argudo, Miguel Pera, Laia Torrent Jansà, Melody García Domínguez, Ignacio Goded, Marta Roldón Golet, Issa Talal El-Abur, Alejandra Utrilla Fornals, Vanesa Zambrana Campos, Maria Del Mar Aguilar Martinez, Marina Bosch, Luis García-Catalá, Luis Sánchez-Guillén, Eva Artigau, Nuria Gomez Romeu, David Julià Bergkvist, Beatriz Espina Perez, Olga Morató, Carles Olona, Beatriz Diéguez, Alexander Forero-Torres, Manuel Losada, Segundo Gomez-Abril, Paula Gonzálvez, Rosario Martinez, Sergio Navarro Martínez, Carmen Payá-Llorente, Álvaro Pérez Rubio, Sandra Santarrufina Martinez, Juan Carlos Sebastián Tomás, Ramon Trullenque Juan, Alberto Gegúndez Simón, Paloma Maté, Maria Isabel Prieto-Nieto, Ines Rubio-Perez, Aitor Urbieta, Marina Vicario Bravo, David Abelló, Matteo Frasson, Alvaro Garcia-Granero, Alfredo Abad Gurumeta, Ane Abad-Motos, Elena Lucena-de Pablo, Beatriz Nozal, Javier Ripollés-Melchor, Rut Salvachúa, Esther Ferrero, Luis Garcia-Sancho Tellez, Antonio L. Picardo, Jose Alberto Rojo López, Laura Patricia Zorrilla Matilla, Carmen Cagigas Fernandez, Sonia Castanedo Bezanilla, José Estevez Tesouro, Maria Jose Fernandez-Diaz, Juan García Cardo, Marcos Gomez Ruiz, Erik Gonzalez-Tolaretxipi, Jaime Jimeno Fraile, Cristobal Poch, Montserrat Rodriguez-Aguirre, Noemí Troche Pesqueira, Maria Soledad Trugeda-Carrera, Javier de la Torre, Ruth Blanco-Colino, Eloy Espin-Basany, Martin Espinosa-Bravo, Clara Morales Comas, Eduardo Reyes Afonso, Joaquín Rivero Déniz, Christian Siso Raber, Mireia Verdaguer Tremolosa, Pramodh Chandrasinghe, Sumudu Kumarage, Nimeshi Wijekoon Arachchilage, Ahmed Abdalla Ahmed Elkamel, Mohammed A. Adam, Nina Blomme, Anders Thorell, Fredrik Wogensen, Andreas Älgå, Dhirar Ansarei, Fuat Celebioglu, Göran Heinius, Linda Nigard, Emil Pieniowski, Sandra Ahlqvist, Ida Björklund, Andreas Frånberg, Martina Håkansson, Karin Adamo, Oskar Franklin, Malin Sund, Rebecca Wiberg, Yvette Andersson, Abbas Chabok, Maziar Nikberg, Alexander Kugelberg, Claudia Canonica, Dimitrios Christoforidis, Fabrizio Fasolini, Paolo Gaffuri, Mauro Giuliani, Francesco Meani, Sotirios Georgios Popeskou, Silvia Pozza, Wiebke Wandschneider, Lorenz Peterer, Lukas Werner Widmer, Bernd Zimmermann, Panagiotis Bakoleas, Iris Chanousi, Lydia Charalampidou, Lukasz Filip Grochola, Franziska Heid, Sotirios Ntaoulas, Michail Outos, Georgios Peros, Hanna Podolska-Skoczek, Katharina Beate Reinisch, Christian Zielasek, Nicolas Demartines, Jérôme Gilgien, Amaniel Kefleyesus, Pénélope St-Amour, Arnaud Toussaint, Maryam Alhimyar, Bayan Alsaid, Amr Alyafi, Ahmad Alkhaledi, Basel Kouz, Ahmad Omarain, Yusra Al-Sabbagh, Haya Alkhatib, Samer Sara, Ahmad Alhaj, Aghyad Danial, Lama Kadoura, Sarah Maa Albared, Yamen Monawar, Louei Nahas, Barook Abd, Ahmad Saad, Habib Wakkaf, Hatem Bouzaiene, Montassar Ghalleb, Elif Akaydin, Ata Cem Akbaba, Onur Atakul, Ege Baltaci, Sevval Besli, Gökçen Burgu, Ulukan Cenal, Cansu de Muijnck, Hasan Can Demirkaya, Alper Dogruoz, Zeynep Ipek Gezer, Yasemin Gündogdu, Merve Kara, Hasan Kürsad Korkmaz, Gökalp Kagan Kurtoglu, Volkan Ozben, Berk Baris Ozmen, Ahmet Murat Pektas, Eda Kübra Sel, Nilüfer Yenidünya, Fuat Baris Bengur, Berke Mustafa Oral, Tahir Koray Yozgatli, Seymur Abdullayev, Mehmet Emin Gunes, Nuri Alper Sahbaz, Tuba Banaz, Kübra Kargici, Omer Faruk Kuyumcu, Erkan Yanikoglu, Merve Yesilsancak, Duygu Yilmaz, Melik Kagan Aktas, Ahmet Rencuzogullari, Arda Isik, Sezai Leventoglu, Ali Yalçinkaya, Osman Yüksel, Mustafa U Kalayci, Yasin Kara, Inanc Samil Sarici, Alp Akin, Gökçe nur Alemdag, Ekin Arslan, Bahadir Emre Baki, Muhammed Selim Bodur, Adnan Calik, Bahar Candas Altinbas, Irem Cihanyurdu, Oguz Erkul, Burak Gül, Ali Guner, Beyza Köse, Anil Semiz, Sule Sevim, Serkan Tayar, Kadir Tomas, Ozan yavuz Tüfek, Serdar Türkyilmaz, Mehmet Ulusahin, Arif Usta, Reyyan Yildirim, Sertaç Ata Güler, Ozan Can Tatar, Ecenur Varol, Busenur Kirimtay, Muhammed Uysal, Alp Yildiz, Emin Kose, Ahmet Burak Ciftci, Elif Çolak, Huseyin Eraslan, Gultekin Ozan Kucuk, Kürsat Yemez, Herman Lule, Mumbere Bienfait, Emmanuel Bua, Noella Okalany, Maksym Basarab, Oleksii Bielosludtsev, Kateryna Kolhanova, Kateryna Perepelytsia, Kateryna Romanukha, Dmytro Savenkov, Stanislav Siryi, Maksym Tereshchenko, Nezamai Viacheslav, Anton Volovetskyi, Andrey Kebkalo, Yegor Tryliskyy, Volodimir Tyselskiy, Eilidh Bruce, Bing Lun Chow, Emma Iddles, Sarah McGuckin, Nicola Newall, George Ramsay, Parivrudh Sharma, Caitlin Stewart, Jeremy Wong, Abdul Badran, Michael Bath, Fanny Belais, Eman Butt, Kaustuv Joshi, Milan Kapur, Mike Shaw, Adam Townson, Christopher Yee Khang Williams, Timothy Gray, Robert Greig, Mansoor Husain, Elspeth Murray, Ahmed Mustafa, Ashar Asif, Arya Gokul, Max Shah, Mabel Temisanren Akitikori, Alexandros Charalabopoulos, Sophie Davidson, Sinead McNally, Shamil Rupani, Fatema Juma, Sarah Catherine Mills, Laura Muirhead, Kate Sellars, Una Walsh, Oliver Warren, Alice Chambers, Richard Hunt, Stephen Boyce, Hannah Cornwall, Isabel Tol, Eleftherios Orestis Argyriou, Nicola Eardley, Meical Povey, Joanna M S Aithie, Ahmer Irfan, Mari-Claire McGuigan, Robert Starr, Craig Russell Warren, Jess Archibald, Georgia Kirby, Ivan Kisyov, Chun Kheng Khoo, Rachel Lee, Dana Photiou, Rowan Davis, Uday Prasad, P Zichu Yang, Jonathan Bird, Edmund Leung, Virginia Summerour, Chelise Currow, Jianshen Kiam, Gerald Jack Soon Tan, Anitha Muthusami, Ibifunke Pegba-Otemolu, Tomas Urbonas, Joseph Nunoo-Mensah, Edgaras Smolskas, Alex Boddy, Gianpiero Gravante, David Hunter, David Andrew, Amanda Koh, Amari Thompson, Lawrence Adams, Hollie A Clements, Kasun De Silva, Ogbonnia Ekpete, Seraj Haque, Scott Henderson, Bilal Ibrahim, Thummini Jayasinghe, Jennifer Livie, Keir Mailley, Gopikrishnan Nair, Daniel Tan, Caitlin Baggaley, Aleksander Dawidziuk, Bartosz Szyszka, Charlotte Barter, Nirav Gandhi, Karen Hassell, Samantha Hitchin, Jennett Kelsall, Eva Nagy, Ashrafun Nessa, Lisa Whisker, Fady Yanni, Mahmoud Ali, Deeksha Arora, Sunanda Hediwattege, Navam Kumarasinghe, Munir Rathore, Athula Tennakoon, Syed Mustafa Ali Ahmad, Oreoluwa Bajomo, Fahema Nadira, Valerio Celentano, Ewen Griffiths, Rama Santhosh Karri, Jason Kei Chak Mak, Michelle Pipe, Muhammad Iqbal Bhatti, Mohamed Rabie, Connor Boyle, David Hamilton, Aishath Mihuna, James Chean Khun Ng, Gary Nicholson, Agata Oliwa, Robert Pearson, Anna Rose, Shun Qi Yong, Catherine Boereboom, Michael Hanna, Catherine Walter, Thomas Samuel Greensmith, Rachel Mitchell, Eimear Monaghan, James Crawford, Susan Moug, James Blackwell, Hannah Boyd-Carson, Philip Herrod, Omar Al-Allaf, Miriam Beattie, Cameron Bullock, Shivang Burman, Gemma Clark, Nicolas Flamey, Oliver Flannery, Alexander Harding, Ben Kodiatt, Samuel Lawday, Shivani Mahapatra, Navin Mukundu Nagesh, Michael Ng, Dupinderjit Rye, Andrel Yoong, Laura Clark, Chris Deans, Monisha Edirisooriya, Emma Victoria Carrington, Tsz Lun Ernest Wong, Baasil Yusuf, Carla Chamberlain, Kathryn Duke, Elizabeth Kmiotek, Azel Botes, Natalie Condie, Timothy Schrire, Reena Shah, Iolo Thomas-Jones, Charlotte Yates, Natasha Anthony, Edward Matthews, Kapil Sahnan, James Tankel, Sally Tucker, Jasmine Winter Beatty, Paul Ziprin, William Duggan, Anastasia Kantartzi, Shruthi Sridhar, Rachel Alys Khaw, Prakhar Srivastava, Charlotte Underwood, Homero Alves do Canto Brum, Sharat Chopra, Laura Davis, Rebecca Hughes, Joshua Tulley, Justin Alberts, Thomas Athisayaraj, Mojolaoluwa Olugbemi, Kasim Ahmad, Claudia Chan, Gavin Chapman, Hannah Fleming, Benjamin Fox, Julia Grewar, Kate Hulse, Duncan Rutherford, Mackay Sinead, Scott Smith, Doug Speake, Peter G Vaughan-Shaw, Natasha Christodoulides, Simrit Kudhail, Matthew Welch, Syed Muhibullah Husaini, Simon Lambracos, Chikamuche Anyanwu, Rishi Suresh, Jimmy Scott Thomas, Elizabeth Gleeson, Rebecca Platoff, Areeba Saif, Zachary Enumah, Eric Etchill, Alodia Gabre-Kidan, Mitchell Bernstein, Francesco Maria Carrano, Joseph Connors, Patricio Lynn, Marcovalerio Melis, Elliot Newman, Deshka S Foster, Kenneth Perrone, Ashley Titan, Sarwat Ahmad, Andrea Chao M.D. Bafford, Marco Dal Molin, Nader Hanna, Syed Nabeel Zafar, Mark Hemmila, Lena Napolitano, Jane J Wong, Julia Chandler, Lauren Wood, Sherry Wren, Taylor Ottesen, Lucia You, Kristin Yu, María del pilar Arciénega Yañez, Martin Ferreira Fernandes, Daniel González, Santiago Cubas, María Catalina González, Vanessa Zubiaurre, Rodrigo Demolin, Nicolas Giroff, Pablo Sciuto, Maite Campos, Gabriela Rodríguez Cantera, Garg Deepika, Elliot Simuchimba, Anadi Bulaya, Chali Chibuye, Bright Chirengendure, Mary-Rose Kabale, Kizito Kabongo, James Munthali, Oliver Mweso, Francis Pikiti, James Otieno, Log Tung Lai, Brighid Blackman, Sophie Richards, Suren Subramaniam, Rafid Karim, Nathan Kok, Yanni Dion Lee, Shabina Ali, Aanjaneya Sinha, Robert Corrigan, Nicole Barnes, Florence Wong, Grace Dennis, Julia Jedamzik, Emil Phillips, Wivine Piette, Marie Van hentenryck, Houenoukpo Koco, Souliath Lawani, Mamo Woldu Kassa, Tainá Santos Bezerra, Petar Gribnev, Dobromir Dimitrov, Panche Krastev, Sovannarith Oum, Divine Tim Bonghaseh, Maryam Al Farsi, Nourah Alsharqawi, Veronica Acevedo, Andrea Carolina Castillo Barbosa, Felipe Giron, Jimmy Paul Leon Rodriguez, Darko Kucan, Damir Rosko, Neven Barsic, Domagoj Župan, Amgad Hegazi, Vendula Truncíková, Vladimir Fryba, Mostafa Mohamed, Ahmed Sultan, Ahmed Nagi, Abdallah Rashad Temerik, Mohamed Elemam Elshawy, Moustafa Ibrahim Mahmoud, Shrouk Omar, Mohamed Anwar, Tarek Rageh, Aya Elmokadem, Khaled Gaballa, Sandra Teppo, Antti Turunen, Pasi Pengermä, Quentin Ballouhey, Damien Bergeat, Ariane Weyl, Elisabeth Hain, Adam Gyedu, Edwin Yenli, Dorcas Osei-Poku, Vaia-Aliki Rompou, Athanasios Zoikas, Apostolos Gaitanidis, Georgios Koukis, Konstantinos Perivoliotis, Panagiotis Tavlas, Konstantinos Galanos-Demiris, George Zografos, Ioannis Karavokyros, Georgia Xanthopoulou, Eirini Iordanidou, Fernanda Ayau, Allan Garcia, Pekli Damján, Deepender Wason, Ashika B L, Ervandy Rangganata, Prerna Kamath, Donal B O'Connor, Margherita Pinto, Fabrizio Perrone, Francesca Paola Tropeano, Francesca Troilo, Daniela Bossi, Dario Scala, Lucrezia Pulitanò, Marcella Carella, Andrea Pietrabissa, Alice Gori, Giorgio Giraudo, Veronica De Simone, Alfio Alessandro Russo, Bartolomeo Braccio, Raed Al-Taher, Sarah Athamneh, Andrea Parker, Adnan Sawiee, Amina Kattia, Malik Salem, Osama Tababa, Zuhour Shaeeb, Vilius Syminas, Jonas Jurgaitis, Gyte Damuleviciene, Saulius Svagzdys, Narindra Njarasoa Mihaja Razafimanjato, Ling Chieng Loo, Ing Ching Tiong, Wan Farahiyah Wan Muhmad, Harinthiran Vijeyan, Teoh Li Ying, Gabriella Grech, Rodrigo Arrangoiz, Vania Brickelia Jimenez Ley, Daniel Arizpe, Elizabeth Lagunes Lara, Elizabeth Victoria Castro López, Jose Eaazim, Marije Gordinou de Gouberville, Vivian Bastiaenen, Simone Rottier, Fouad Nahab, Maria Yeonhee Ji, Mohammed Seyoji, Callistus Nwachukwu, Okechukwu Emeghara, Sayyid Egbunu Muhammed, Ayodeji Idowu, Olamiposi Sowemimo, Olakayode Ogundoyin, Oluwatosin Akande, Alexander Lott, Maliha Nadeem, Ahsan Ali Laghari, Asif Loya, Hassan Mushtaq, Muhammad Tariq Abdullah, Baseel Abuhilal, Mohammad Atawneh, Hamdan Hamdan, Belal Alhabil, Abedelrahman Srour, Ibrahim Mousa, Luis Da Silva Medina, Katarzyna Bartosiak, Pedro Ferreira, Vítor Francisco, Ricardo Lemos, Luísa Frutuoso, Sara Fernandes, Telma Fonseca, Jorge Pereira, Juan Rachadell, Ana Torre, Filipe Madeira Martins, Ana Cristina Carvalho, Joana Rodrigues Ferreira, Bruno Ribeiro da Silva, Helena Devesa, Ana Vieira, Inês Mónica, Margarida Amaro, Diogo Sousa, Marta Reia, João Louro, Ana Martins, Joaquina Dominguez, Inês Santos, Nuno Miguel Freitas Oliveira, José Carlos Pereira, Pedro Silva-Vaz, Ligia Freire, Ricardo Escrevente, Valentina Madalina Negoita, Dmitry Shakhmatov, Yves Nezerwa, Radosav Radulovic, Gareth Obery, Francois Viljoen, Tome Mendes, Antonio Suarez, Enrique Moncada, Maria Fernandez-Hevia, Carolina Curtis Martínez, Julia Maria Gil Garcia, Mariana González Zunzarren, Tarig Idris, Karolina Eklöv, Oskar Grahn, Leila Amin, Malin Blomqvist, Costanza Ajani, Rebecca Kraus, Nico Seeger, Melissa Willemin, Fadi Rayya, Mohammad Ayash, Raneem Msouti, Israa Kannas, Eias Abazid, Asil Esper, Skander Slim, Akil Serdar Kavcar, Erman Aytac, Ahmet Cem Dural, Ayse Ilker, Ismail Cem Eray, Eray Kurnaz, Saygin Altiner, Mustafa Deniz Tepe, Can Sahin, Evrim Savli, Aryon Innocent, Lilian Babirye, Andrii Diachenko, Vladislav Hordoskiy, Heather Curry, Charlene Yat Che Chau, Harry Robertson, Arin Mahmoud, Hannah Lennon, Lynette Loi, Emily Kirkham, Cameron McCann, Daniel Watts, Binay Gurung, Michael Wilson, Thomas Tribedi, Eleonora Garofalo, Baryab Zahra, Scott MacDonald, Ian Daniels, Nathan Ng, Shivun Khosla, James Olivier, Sum Yu Pansy Yue, Gayathri Suresh, Jack Wellington, Emmanuel Lorejo, Mafdi Mossaad, Madison Crutcher, Marjan Alimi, Ioana Baiu, Hossam Abdou, Alison Conway, Connor Peck, Mauro Andres Perdomo Perez, Stanley Zulu, Mildred Nakazwe, Sule Burger, Justine Davies, Rachel Donaldson, Chikwendu Ede, O James Garden, Chiapo Lesetedi, Charles Mabedi, Laura Magill, Felix Makinde Alakaloko, Alex Makupe, Mark Monahan, Soloman Mulira, Elmi Muller, Jospeh Musowoyo, Jean Léon Olory-Togbe, Tracey Roberts, Martin Smith, Viki Tayler, John Windsor, Raul Yepez, Sudha Sundar, Emmy Runigamugabo, Azmina Verjee, José Chen, Leonid Daya, Nouhaila El Aroussi, Valeria Farina, Tchianze Gnintedeme Olivier, Mauricio Gonzales Nacarino, Aamr Hammani, Sarah Honjo, Rebecca Jacobs, Hitomi Kimura, Mugisha Nkoronko, Jasson Javier Oscullo Yepez, Wei Pin Hung, Ankit Raj, Alina Romani Pozo, Muna Rommaneh, Samuel Chimbioputo Sassamela Fabiano, Camila Milagros Shiroma Gago, Abhishekh Srinivas, Chia-Yen Sung, Aswan Tai, Yener Cristyell Valle Aranda, Sara Venturini, Jean Wilguens Lartigue, UCL - SSS/IREC/MONT - Pôle Mont Godinne, UCL - (MGD) Service de chirurgie, Knight S.R., Shaw C.A., Pius R., Drake T.M., Norman L., Ademuyiwa A.O., Adisa A.O., Aguilera M.L., Al-Saqqa S.W., Al-Slaibi I., Bhangu A., Biccard B.M., Brocklehurst P., Costas-Chavarri A., Chu K., Dare A., Elhadi M., Fairfield C.J., Fitzgerald J.E., Ghosh D., Glasbey J., van Berge Henegouwen M.I., Ingabire J.C.A., Kingham T.P., Lapitan M.C., Lawani I., Lieske B., Lilford R., Martin J., Mclean K.A., Moore R., Morton D., Nepogodiev D., Ntirenganya F., Pata F., Pinkney T., Qureshi A.U., Ramos-De la Medina A., Riad A., Salem H.K., Simoes J., Spence R., Smart N., Tabiri S., Thomas H., Weiser T.G., West M., Whitaker J., Harrison E.M., Gjata A., Modolo M.M., King S., Chan E., Nahar S.N., Waterman A., Vervoort D., Bedada A.G., De Azevedo B., Figueiredo A.G., Sokolov M., Barendegere V., Ekwen G., Agarwal A., Liu Q., Camilo Correa J., Malemo K.L., Bake J., Mihanovic J., Kuncarova K., Orhalmi J., Salem H., Teras J., Kechagias A., Arnaud A.P., Lindert J., Kalles V., Aguilera-Arevalo M.-L., Recinos G., Baranyai Z., Kumar B., Neelamraju Lakshmi H., Zachariah S.K., Alexander P., Kumar Venkatappa S., Pramesh C., Amandito R., Fleming C., Ansaloni L., Pellino G., Altibi A.M., Nour I., Hamdun I., Ghellai A.M., Venskutonis D., Poskus T., Zilinskas J., Malemia P., Tew Y.Y., Borg E., Ellul S., Wafqui F.Z., Borowski D.W., van Dalen A.S., Wells C., Adamou H., Ademuyiwa A., Adisa A., Soreide K., Al Saqqa S., Alser O., Tahboub H., Segovia Lohse H.A., Shu Yip S., Major P., Sampaio Soares A., Bratu M.R., Litvin A., Vardanyan A., Allen Ingabire J.C., Gudal A., Albati N., Juloski J., Rems M., Rayne S., Van Straten S., Moodley Y., Ortega Vazquez I., Ruiz-Tovar J., Senanayake K.J., Thalgaspitiya S.P.B., Omer O.A., Homeida A., Cengiz Y., Clerc D., Alshaar M., Bouaziz H., Altinel Y., Doe M., Freigofer M., Teasdale E., Kabariti R., Clements J.M., Ashfaq A., Azodo I., Wagner G., Trostchansky I., Maimbo M., Linyama D., Nina H., Zeko A., Fermani C.G., Villalobos S., Carballo F., Farina P., Guckenheimer S., Dickfos M., Ajmera A., Chong C., Gourlay R., Hussaini S., Lee Y.J., Majid A., Martin P., Miles R., Morris O.J., Phua J., Ridley W., Saluja T., Tan R.R., Teh J., Wells A., Arora B., Dollie Q., Ho D., Ma Y., Perera O.M., Truong A., Dawson A.C., Lim B., Pahalawatta U., Phan J., Woon-Shoo-Tong X.-M.S., Yeoh A., Charman L., Drane A., Laura S., Lo C.C.W., Mozes A., Poon R., Tan H.H., Wall E., Chopra P., De Giovanni J., Dhital B., Draganic B., Duller A., Gani J., Goh Y.K., Jeong J.Y., McManus B., Nagappan P., Pockney P., Rugendyke A., Sarrami M., Smith S., Wills V., Wong H.V., Ye G., Zhang G., Brooker E., Feng D., Lau B., Ngai C., Birks S., Gyorki D., Otero de Pablos J., Abbosh A., Gillespie C., Mahmoud A., Kwan B., Lawson J., Warwick A., Bingham J., Cockbain A.J., Dudi-Venkata N.N., Ellaby-Hall J., Finlay B., Humphries E., Pisaniello J., Pisaniello M., Salih S., Sammour T., Abd Wahab H.H., De Silva A., Hayward N., Iyer K., Maddern G., Prevost G.A., Annapureddy N., Settipalli K.P., Yeo J., Hempenstall L., Pham L., Purcell S., Talavera C., Vaska A.I., Chaggar G., Chrapko P., Cocco A., Coulter-Nile S.M.C.J., Ctercteko G., French J., Gong H., Gosselink M., Jegathees T., Jin I., Kalachov M., Kiefhaber K., Lee K., Luong J., Phan S., Pleass H., Veale K., Zeng Z., Au A., DeBiasio A., Deng I., Myooran J., Nair A., Stewart P., Stift A., Unger L.W., Wimmer K., Ahmed N., Hasan S., Rahman S., O'Shea M., Padmore G., Peters A., Perduca P., Pulcina G., Tinton N., Buxant F., Dabin E., Garofalo G., Dossou F., Gnangnon F.H.R., Imorou Souaibou Y., Motlaleselelo P., Tlhomelang O., Lima Buarque I., Mendonca Ataide Gomes G., Vieira Barros A., Batashki I., Damianov N., Stoyanov V., Dardanov D., Maslyankov S., Petkov P., Todorov G., Zhivkov E., Akisheva A., Castilla Moreno M.A., Genov G., Ilieva I., Ivanov T., Karamanliev M., Khan A., Mitkov E., Yotsov T., Atanasov B., Belev N., Slavchev M., Nsengiyumva C., Jones E., Stock S., Kyota S., Brown J., Mabanza K. T., Nigo Samuel L., Otuneme C., Prosper N., Umenze F., Boutros M., Caminsky N., Dumitra S., Garfinkle R., Morency D., Salama E., Banks A., Ferri L., He H., Katz A., Liberman A.S., Meterissian S., Pang A., Parvez E., Hameed U., Osman F., Sequeira S., Coburn N., Jaffer A., Karanicolas P., Mosseler M., Musselman R., Liu X., Yip C.W., Garces-Otero J.S., Guzman C., Sierra S., Uribe Valencia A., Cabrera Rivera P.A., Camelo S., Gonzalez A., Gonzalez-Orozco A., Mosquera Paz M.S., Perez Rivera C.J., Gonzalez F., Isaza-Restrepo A., Nino- Torres L., Arias Madrid N., Mendoza Arango M.C., Tsandiraki J., Jemendzic D., Kocman B., Suman O., Canic R., Jurisic D., Karakas I., Krizanovic Rupcic A., Pitlovic V., Samardzic J., Kopljar M., Bacic I., Domini E., Karlo R., Miljanic D., Simic A., Ahmed M., Al Nassrallah M., Altaf R., Amjad T., Eltoum R., Haidar H., Hassan A., Khalil O., Qasem M., Ramesh R., Sajith G., Wisal M., Zatecky J., Bujda M., Jirankova K., Paclik A., Abdallah A., Abdulgawad Almogy M., Ayman El-sawy E., ElFayoumy A.M., Elghareeb N., Esmat N.A., Fadel A., Habater A., Hamdy H., Hefni A., Kamal M., Mohamed Abobakr N., Sayed A., Shaker N., Taha E., Tharwat H., Zakaria O., Abdelmotaleb I., Al-Dhufri A., Al-Himyari H.S., El sheikh E., Eldmaty A., Elkhalawy A., M.Elkhashen A., Magdy K., Mostafa S., Sadia H.D., Saleh M.M., Samir D., Yahia Mohamed Ali M., A. Nassar M., Abdelhady S., Abdelrazek A., Abdelsalam I., El-Sawy A., Essam E., Gadelkarim M., Ghaly K., Hassabalnaby M., Masarani R., Mohamed Shaaban N., Sabry A., Salem M., Soliman N.A., Zahran D., Abou El.soud M.R., Badr E.T., Borham H., Elmeslemany N., Elsayed M., Elsherif F., Eslam S., Gaber G., Ibrahim S., Kamh Y., Mohamed S.G., Morshedy E., Omar C., Salem Soliman F., Abdelkawy S., Abdelmohsen N., Abdelshakour M., Dahy A., Gamal N., Gamal M., Hasan A., Hetta H., Mousa N., Omar M., Rabie S., Saad M., Saleh B., Sayed Mohamed M., Shawqi M., Abdelhady Mousa H., Alnoury M., Elbealawy M., Elshafey A., Essam Ibrahim El Desouki Muhammad Ahmed M., Ghonaim M., Hgag F., Ibrahim M., Morsy M., Reda Loaloa M., Refaat A., Samir H., Shahien F., Sobhy M., Sroor F., Abdellatif E., Adel M., Afifi A.A., Afifi E., Antaky M., Dawoud A., El Zoghby N., El-remaily A., Elzanfaly A.A., Gadallah A., Gamal F.A., Hashem O., Medhat Youssef S., Muhammad Attyah A., Munir M., Shazly O., Wilson K., Adel S., Ali A., Eid E., Elhelow E., Elmahdy M., Elshatby B., Hossam el-din Zakaria A., Hossny A., Ibrahim E., M.Yonis A., Metwalli M., Yousry B., Zid E., A Yacoub M., Abdelhakim A., Abouelsoad N., Alkhatib M., Ashraf A., Elazab Y., Elfanty M., Elkabir O., Elshimy A., Elsobky H., Eskander J., Gad A., Hamsho W., Khaled Abdelwahed N., Magdy M., Moharam D., Osama A., Ramadan S., Roum R., Sayed T., Shehada T., Zidan A.M., Abbas K., Attia M., Balata M., El Nakeeb A., Elewaily M.I.E., Elfallal A., Elfeki H., Elkhadragy A., Emile S., Ezzat H., Hosni H., Mansour I., Omar W., Othman G., Sadek K., Shalaby M., Shehab-Eldeen N., Anas khalifa R., Badr H., Eldeep M., Eldeep A., Eldoseuky mohammed A., Khallaf S., Magdy Hegazy E., Mahmoud R., Mikhail P., Morsi M., Mowafy S., Raafat D., Safy A., Sera M., Sera A.S., AbdAllah M.S.M., Abdelkader M., Abdou A.O., Ahmed A., Gaafar S., Ibrahim negm F., Lapic M., Maher A., Mahmoud H., Mostafa A., Samir M., Samy F., Semeda N., Shalaby H.I., El-taweel A., Galal Elnagar A., Hemidan A.G., Hussein M., Kandil A.A., Moawad M., Nasser Hamamah A.A., Soliman M., Abdelkhalek M., Abdelmaksoud Tawakel N., Abdelwahed A.M., Abdou A., Atallah K., Elsherbeny M.Y., Emara E., Hamdy M., Hamdy O., Haron A., Ismail S., Metwally I.H., Mohamed Hamed Elgaml N., Nassar A., Refky B., Sadek M., Saleh M., Yunes A., Zakaria M., Zuhdy M., Fayed N., Mohammed M.M.H., Kutner S., Melnik P., Seire I., Umarik T., Ainoa E., Eerola V., Koppatz H., Koskenvuo L., Sallinen V., Takala S., Katunin J., Turunen A., Christou N., Mathonnet M., Lavoue V., Nyangoh Timoh K., Soulabaille L., Lesourd R., Merdrignac A., Sulpice L., Andre B., Chantalat E., Vaysse C., Dousset B., Gaujoux S., Martin G., Clonda O., Juodis D., Kienle K., Mravik A., Palmer S., Szabadhegyi G., Agbeko A.E., Gyabaah S., Gyamfi F.E., Naabo N., Owusu senior A., Yorke J., Owusu F., Abantanga F., Anyomih T.T.K., Muntaka A.-J.M., Owusu Abem E., Sheriff M., Wondoh P.M., Balalis D., Korkolis D., Gkiokas G., Pantiora E., Theodosopoulos T., Ioannidis A., Konstantinidis K., Konstantinidou S., Machairas N., Paspala A., Prodromidou A., Chouliaras C., Papadopoulos K., Baloyiannis I., Mamaloudis I., Tzovaras G., Akrida I., Argentou M.-I., Germanos S., Iliopoulos E., Maroulis I., Skroubis G., Theofanis G., Chatzakis C., Ioannidis O., Loutzidou L., Karathanasis P., Michalopoulos N., Theodoropoulos C., Theodorou D., Triantafyllou T., Garoufalia Z., Hasemaki N., Kontos M., Kouraklis G., Kykalos S., Liakakos T., Mpaili E., Papalampros A., Schizas D., Syllaios A., Tampaki E.C., Tsimpoukelis A., Antonopoulou M.I., Deskou E., Manatakis D.K., Papageorgiou D., Zoulamoglou M., Anthoulakis C., Margaritis M., Nikoloudis N., Campo V., Ceballos A., Flores M.-A., Giron W., Ko D., Martinez G., Rivera Lara V., Rueda N., Sanchez A., Tejeda Garrido J.C.G., Alvarez Rivera A.E., Bamaca Ixcajoc E.B., Barreda Zelaya L.E., Chacon-Herrera P., Corea Ruiz L.M., Echeverria-Davila G., Garcia M., Garcia D., Gutierrez Mayen E.F., Jose N., Mazariegos N., Mendez D., Paniagua Espinoza M., Bardos D., Benke M., Illes K., Kokas B.A., Szabo R., Appukuttan A., Asok A., Vijaykumar D.K., Malik K., Ravishankaran P., Tapkire R., Moorthy G., Abraham J., Muthuvel R., Alapatt J., Kattepur A., Pareekutty N., Garod M., Harris C., Wanniang C., Gupta A., Nehra D., Parshad S., Acharya R., Badwe R., Bhandare M., Jain U., Kirti K., Nair N., Shrikhande S., Thakkar P., Anandan P., C S A., Holenarasipur Narasannaiah A., Jagarlamudi T., M R R., Manangi M., Raghavendra A., Rao K.S., S V., Sajjan V., Shenoy A., Shivashankar Chikkanayakanahalli S., Tharanath K., V S., Adidharma P., Agarwal R., Anggita Gultom P., Arifin G.R., Billy M., Elfizri Z., Fahira A., Felicia D., Gunardi T.H., Johanna N., Nugrahadi N.R., Panigoro S.S., Rahmayanti S., Sihotang R.C., Brata S.Y., Winoto H., Barati N., Karami M., Khorshidi H., Naderifar H., Abdulla M.A., Coleman M., Doherty R.J., Hannon R., Murphy B., Stakelum A., Winter D., Aljohmani L., Farnan R., Seldon Y., Tan T., Varghese S., Alherz M., Ather M., Bajilan M., Graziadei V., Pilkington I., Quidwai O., Ridgway P., Shiwani H., Tahir A.A.-R., Blunnie E., Burke D., Kennedy N., Macdonagh K., O'Neill M., Rooney S., Falco G., Ferrari G., Mele S., Nita G.E., Ugoletti L., Zizzo M., Confalonieri G., Pesenti G., Tagliabue F., Baronio G., Ongaro D., Pata G., Compagnoni B., Salvadori R., Taglietti L., D'Alessandro N., Di Lascio P., Pascale G., Bortolasi L., Campagnaro T., Carlini M., Lisi G., Lombardi D., Pedrazzani C., Spoletini D., Turri G., Violi P., Altomare D.F., Aquilino F., Musa N., Papagni V., Picciariello A., Vincenti L., Andreotti D., Occhionorelli S., Tondo M., Basso S.M.M., Cirelli R., Maino M.E.M., Piozzi G.N., Picone E., Scaramuzzo R., Sinibaldi G., Amendola A., Anastasio L., Bucci L., Caruso E., Castaldi A., Di Maso S., Dinuzzi V.P., Esposito G., Gaudiello M., Giglio M.C., Greco P.A., Luglio G., Manfreda A., Marra E., Mastella F., Pagano G., Peltrini R., Pepe V., Sacco M., Sollazzo V., Spiezio G., Cianchetti E., Menduni N., Carvello M.M., Di Candido F., Spinelli A., Corsi F., Sorrentino L., Marino F., Asti E.L.G., Bonavina L., Rausa E., Asta M., Belli A., Bianco F., Cervone C., Delrio P., Falato A., Fares Bucci A., Guarino R., Pace U., Rega D., De Luca E., Gallo G., Sammarco G., Sena G., Vescio G., Santandrea L., Ugolini G., Zattoni D., Chetta N., Logrieco G., Vanella S., Garulli G., Zanini N., Bondurri A., Cammarata F., Colombo F., Foschi D., Lamperti G.M.B., Maffioli A., Sampietro G.M., Yakushkina A., Zaffaroni G., Cicuttin E., Sibilla M.G., Impellizzeri H., Inama M., Moretto G., Mochet S., Ponte E., Usai A., Mancini S., Sagnotta A., Solinas L., Bolzonaro E., Tamini N., Curletti G., Galleano R., Malerba M., Campanella S., Cocorullo G., Colli F., De Marco P., Falco N., Fontana T., Kamdem Mambou L.J., La Brocca A., Licari L., Randisi B., Rizzo G., Rotolo G., Salamone G., Tutino R., Venturelli P., Malabarba S., Sgro A., Vella I., Cirillo B., Crocetti D., De Toma G., Lapolla P., Mingoli A., Sapienza P., Belvedere A., Bianchini S., Binetti M., Birindelli A., Tonini V., Podda M., Pulighe F., De Rosa M., Bono L., Borghi F., Geretto P., Giuffrida M.C., Lauro C., Marano A., Pellegrino L., Salusso P., Sasia D., Campanelli M., Realis Luc A., Trompetto M., Cardia R., Cillara N., Giordano A.N., Costanzo A., Giovilli M.A., Turati L., Canonico S., Sciaudone G., Selvaggi F., Selvaggi L., Albsoul N., AlBsoul A., Alkhatib A.A., Alsallaq O., Amarin J.Z., Ayoub R., Bsisu I., El Muhtaseb M.S., Jabaiti M., Melhem J., Qwaider Y.Z., Salameh M.H., Suleihat A., Suradi H.H., Alammarin M., Aljaafreh A., Bani hani M., Bani hani Z., Bani Hani F., Fahmawee T., Hamouri S., Katanani C., Tawalbeh R., Tawalbeh T., Zawahrah H., Abou Chaar M.K., Abusalem L., Al-Masri M., Al-Najjar H., Barghuthi L., Ahmed Z., Maulana A., Ngotho O., Kamau C., Stanley Mwenda A., Bosire F., Mwachiro E., Parker R., Simel I., Sylvester K., Althini A.A.M., Elbarouni S., Elbeshina A.E., Gwea A., Malek A., Masoud Farag W.A., Abdalei A., Abdel Malik A.B., Abo-khammash A., Abuhlaiga M., Adnan N., Albaggar M., Alfitory A., Aljanfi A., Almuzghi F., Altumei Z., Alzabti F., Ashoushan H., Assalhi M., Azzubia J., Bnhameida S., Delhen M., Elshafei H., Elteir H., Esbaga F., Gobbi A.A., Hamouda F., Hilan H., Ismail R., Jebran F., Kasbour M., Maderi G., Mohammad S., Mohammed B., Murtadi H., Mustafa H., Rajab M., Trenba S., Wafaa M., Al Sagheir E., Almigheerbi A., Alzahaf A., Bahroun S.G., Ben Dallah N., Elshaibani M., Eswaye H., Karar M., Omar S., Younes E., Younes M., Zreeg D., Abujamra S., Ashour F., Elgammudi M., Omar F. Aljadidi W., Saddouh E., Sharif R., Alabuzidi A., Alwerfally A., Aribi S., Bibas F., Elfaituri T., Elhajjaji Y., Khaled A., Khalil W., Layas T., Soula E., Tarek A., Abu hallalah M.F.K., Ahmed H.A., Alsharef T., Ben Saoud A.A., El Gharmoul T., Elhadi A., Elrais S., Shebani A., Zarti H., Zeiton A., Ambrazevicius M., Kaselis N., Stakyte M., Aliosin O., Cizauskaite A., Dailidenas S., Eismontas V., Kybransiene M., Nutautiene V., Samalavicius N., Simcikas D., Slepavicius A., Tamosiunas A., Ubartas N., Zeromskas P., Bradulskis S., Dainius E., Juocas J., Kubiliute E., Kutkevicius J., Opolskis A., Parseliunas A., Subocius A., Virbickaite E., Zuikyte D., Bogusevicius A., Buzaite K., Cepuliene D., Cesleviciene I., Cesna V., Gribauskaite J., Ignatavicius P., Jokubauskas M., Liugailaite M., Margelis E., Mazelyte R., Pankratjevaite L., Pazusis M., Rackeviciute A., Saladyte J., Skimelyte M., Slenfuktas V., Sudeikyte M., Tamelis A., Vanagas T., Zumbakys Z., Atkociunas A., Dulskas A., Kuliavas J., Birutis J., Paskevicius S., Satkauskas M., Danys D., Jakubauskas M., Jakubauskiene L., Kryzauskas M., Lipnickas V., Makunaite G., Rasoaherinomenjanahary F., Rasolofonarivo H., Samison L.H., Banda B., Msosa V., Ahmad Izzuddin A.I., Das A., Gan Y.Y., Shong Sheng T., Siaw J.Y., Ab Rahim M.F., Abang Jamari D.Z.H., Che Husin N., Kamarulzaman M.Y., Lim Y.P., Mohamed Kamil N.A., Mohd Hassan M.R., Mohd Sahid S., Mustafa J., Ng E.H.B., Wan Khazim W.K., Chang Ern N., Lingeshan P.G., Sulaiman S.E., Ang S.E., Bin Mohamad Sithik M.N., Cheong Y.J., Deva Tata M., Jia Xian L., Kadravello A., Koh I.-E., Ng L.-Y., Ng We Yong Y.J., Palayan K., Sam C.X., Siow Jin P., Tan Ern Hwei J., Tang Y., Ter A.Z., Wong M.P.-K., Zakaria A.D., Zakaria Z., Henry F., Kalaiselvan T., Abd Karim M.F.S., Abdul Aziz M.R., Abdul Aziz N., Khong T.L., Lau P.C., Lim H.C., Roslani A.C., Seak J.C.K., Wong S.-W., Wong L.F., Yeen Chin L., Anyanwu M.C., Busuttil Z., Calleja T., Chircop K.L., Cutajar R., Dimech A.M., Galea J., Gascon Perai K., Gatt R., Kelman L., Micallef E., Nwolu F., Sammut K., Thompson J., Warwicker S., Zammit M., Cordera F., Cruz Gonzalez E., Sanchez-Garcia J., Barbosa Camacho F.J., Barrera Lopez F.J., Zuloaga Fernandez del Valle C.J., Acosta E., Gonzalez Espinoza I.R., Moreno P., Cortes-Flores A.O., Fuentes Orozco C., Gonzalez Ojeda A., Corro Diaz Gonzalez S., Martinez L., Mosqueda Amador B., Novoa A., Olazo Espejo D.A., Jimenez A., Lopez Rosales F., Vanoye E.G., Garcia Gonzalez L.A., Miranda-Ackerman R.C., Solano-Genesta M., Alvarez-Cano A., Romero-Garza H.H., Medina-Franco H., Mejia-Fernandez L., Salgado-Nesme N., Vergara-Fernandez O., Gutierrez-Mota G.M., Hernandez Vera F.X., Llantada Lopez A., Morgan Villela G., Ramirez Padilla F.D.J., Tapia Marin W., Martinez Maldonado M., Sanchez Suarez R., Troche J.M., Benyaiche C., Outani O., Amine S., Benkabbou A., Majbar A.M., Mohsine R., Rafik A., Oung T., Tin M.M., Plarre P., Alberga A., Sluiter N., Tuynman J., Blok R., Comert D., Hompes R., Kalff M., Stellingwerf M.E., Tanis P., van Berge Henegouwen M., van Praag E.M., Wisselink D., Gerhards M., Lopes Cardozo J., Westerduin E., de Jonge J., van Geloven A., van Schilt K., den Boer F., Stoots S., Vlek S., Adams J., Al-Busaidi I.S., Budd G., Choi S.I., Chu M.J.J., Ganugapati A., McKinstry L., Pascoe R., Richards S., Rosser K., Stevenson A., White R., Farik S., Kwun J., Murad A., Cowan S., Hall T., Hayton M., Malam Sani L., Oumarou Garba S., Amadou Magagi I., Habou O., Aliyu H., Daniyan M., Sholadoye T.T., Abdullahi L., Anyanwu L.-J., Mohammad Mohammad A., Muhammad A.B., Sheshe A.A., Suleiman I., Adesina A., Awolowo A., Onuoha C., Salami O., Taiwo O., Taiwo A., Kache S., Makama J.G., Sale D., Abiola O., Ajao A., Ajiboye A., Etonyeaku A., Olaogun J., Adebanjo A., Adesanya O., Afolayan M.O., Balogun O., Makanjuola A., Nwokocha S., Ojewola R.W., Olajide T.O., Aderounmu A., Adesunkanmi A.-R., Agbakwuru A., Akeem Aderogba A., Alatise O.I., Arowolo O., Lawal O., Mohammed T., Ndegbu C., Olasehinde O., Wuraola F., Akinkuolie A., Mosanya A., Ayandipo O., Elemile P., Lawal T.A., Ali SANI S., Garba S., Hauwa SANI R., Olori S., Onyebuashi H., Umoke I., Adenuga A., Adeyeye A., Habeeb O., Lawal B., Nasir A., Aahlin E.K., Kjonas D., Myrseth E., Abbasy J., Alvi A., Saleem O., Afzal A., Nazir A., Farooq M., Liaqat A., Naqi S.A., Raza A., Sarfraz M., Sarwar M., Banglani M., Munir A., Sehrish R., Ayub B., Sayyed R., Altaf A., Ayub S., Saeed K., Syed B., Akbar S.A., Anwer A.W., Khan R.N., Khan A.I., Khattak S., Mohtasham S., Parvaiz M.A., Syed A.A., Ansari A.B., Shahzad N., Khaliq T., Rashid I., Waqar S.H., Abu Al-saleem H., Abu Alqumboz A., Alqadi M., Amro A., Assa R., Awesat E., Ayyad R., Hammad M., Haymony A., Hijazi B., Hmeidat B., Lahaseh R., Qawasmi A., Rajabi A., Shehada M., Shkokani S., Yaghi Y., Yaghi N., AlZohour M., Farid M., Habes Y.M., Juba W., Nubani Y., Rabee A., Sa'deh M., Abed S., Al basos I., Alswerki M., Ashour D., Awad I., Diab S., El Jamassi A., El-Kahlout S., Elhout S., Hajjaj A.N.K., Hasanain D., Nabil hajjaj B., Obaid M., Saikaly E., Salhi A., Al-Tammam H., Almasri M., Baniowda M., Beshtawi D., Horoub A., Misk R., Mohammad B., Qasrawi R., Sholi T., Abu-Nimeh S., Abu-srour A., Abukhalaf S.A., Adawi S., Alsalameh B., Ayesh K., Elqadi M., Hammouri A., Karim Mustafa F., Marzouqa N., Melhem S., Miqdad D., Mohamad B., Rawhi M., Abu Ahammala A.B., Abu Ataya A., Abu Jayyab I., Al-Shwaikh S., Alagha O., Alasttal M., Awadallah H., Elblbessy M., Fares J., Jarbou A., Mahfouz I., Albahnasawi M.A., Abo mahadi A., Abuelhatal H., Abuelqomboz A., Almoqayyad A., Alwali A., Balaawi R., Hamouda M., Humeid M., Jedyan A., Mahmoud Abu hamam T., Matar G., Salem A.L., Samra T., Shaheen N., Shihada K., A.Nemer A., Abu Al Amrain M., Abu Alamrain A., Abu Jamie N., Abu-Rous M.R., Alfarra N., AlTaweel M., Alwhaidi N., Hamed R., Saqqa B., Shaheen A., Aljaber D., Aljaberi L., Alwaheidi M., Jawaada A., Khaldi H., Qahoush R., Qari J., Saadeh R., Salim A., Yacoub A., Abbas A., Abu shua'ib R., Abu Zainah B., AbuSirrees M., Babaa B., Barhoush O., Belal qadomi A., Daraghmeh L., Haji R., Khatatbeh A., Khatib L., Qarariah S., Quzmar Y., Safadi K., Salameh R., Hassan M., Herzallah S., Massad L., Nazzal A., Nazzal R., Escobar D., Machain V G.M., Rodriguez Gonzalez A., Chachaima Mar J.E., Chinchihualpa Paredes N.O., Cuba V., Lopez W., Niquen Jimenez M.M., Sanchez Bartra N.A., Sapallanay Ojeda O., Sequeiros D., Toscano Pacheco A., Vergara M., Abarca S., Alcorta R., Borda-Luque G., Eusebio Zegarra I.E., Lujan Lopez C., Marrufo M., Mogrovejo C., Nomura A., Rodriguez Angeles Y., Vidal Meza M.R., Zavala G., Castillo Arrascue J.N., Hidrogo Cabrera J.C., Larrea vera J.J.M., Osorio M., Ylatoma Diaz E.A., Fontanilla M.A., Fuentes J.R., Salazar A.L., Dominguez G., Lopez M.P., Macalindong S., Onglao M.A., Ramirez A., Sacdalan M.D., Tampo M.M., Uy G.L., Mangahas J., Yabut K., Canete J.P., Cansana B.E., Castro E.J., Lipana M.K., Roxas M.F., Zara V.J., Chrol M., Franczak P., Orlowski M., Budzynski P., Budzynski A., Bury P., Czerwinska A., Dworak J., Dziedzic J., Kisielewski M., Kulawik J., Lasek A., Malczak P., Migaczewski M., Pedziwiatr M., Pisarska M., Radkowiak D., Rubinkiewicz M., Rzepa A., Skoczylas T., Stanek M., Truszkiewicz K., Wierdak M., Winiarski M., Zarzycki P., Zub-Pokrowiecka A., Kowalewski P., Roszkowski R., Waledziak M., Tome M., Patrocinio S., Guerreiro I., Almeida F., de Sousa X., Monteiro N., Costa Santos M.T., de Oliveira D., Lopes Serra M., Morgado D., Neves C., Oliveira A.C., Pimentel A., Silva S., Carvalho M., Carvalho L., Magalhaes J., Matos L., Monteiro T., Ramos C., Santos V., Barbosa J., Costa-Maia J., Devezas V., Fareleira A., Fernandes C., Goncalves D., Mora H., Morais M., Silva de Sousa F., Catarino Santos S., Logrado A., Tojal A., Amorim E., Cunha M.F., Fazenda A., Melo Neves J.P., Sampaio da Novoa Gomes Miguel I.I., Veiga D., Azevedo J., Cardoso Louro H., Leite M., Bairos Menezes M., Gama B., Brito D., Cruz Martins M.C., Graca e Magalhaes A., Longras A.C., Lourenco R., Matos D., Castro L., Policarpo F., Romano J., Monteiro C., Pinto D., Duarte M., Fortuna Martins S., Oliveira M., Galvao D., Martins L., Silva A., Taranu V., Vieira B., Neves J., Oliveira S., Ribeiro H., Cinza M., Felix R., Machado A., Oliveira J., Patricio J., Pedroso de Lima R., Pereira M., Rocha Melo M., Velez C., Abreu da Silva A., Claro M., Costa Santos D., Ferreira A., Capote H., Rosado D., Tare F., Nogueira O., Angelo M., Baiao J.M., Guimaraes A., Marques J., Nico Albano M., Silva M., Valente da Costa A., Vieira Caroco T., Almeida Braga S., Capunge I., Fragoso M., Guimaraes J., Pinto B., Ribeiro J., Angel M., Fialho G., Guerrero M., Campos Costa F., Cardoso D., Cardoso V., Alves M., Estalagem I., Louro T., Marques C., Martelo R., Morgado M., Canotilho R., Correia A.M., Martins P., Peyroteo M., Gomes J., Monteiro R., Romano M., Alves D.M., Peixoto R., Quintela C., Jervis M.J., Melo D., Pacheco A., Paixao V., Pedro V., Pimenta J., Pimenta de Castro J., Rocha A., Beuran M., Ciubotaru C., Diaconescu B., Hostiuc S., Negoi I., Stoica B., NA N.A., Anokhin E., Kuznetsov G., Oganezov G., Paramzin F., Romanova E., Rutkovskii V., Shushval M., Zabiyaka M., Dzhumabaev K., Ivanov V., Mamedli Z., Achkasov S., Balkarov A., Nabiev E., Nagudov M., Rybakov E., Saifutdinova K., Sushkov O., Joseph L., Ndayishimiye I., Faustin N., Mutabazi A.Z., Mvukiyehe J.P., Nsengimana V.J.P., Uwakunda C., Abbas M.M., Akeel N., Aljiffry M., Awaji K., Farsi A., Jamjoum G., Khoja A., Maghrabi A., Malibary N., Nassif M., Saleem A., Sultan A., Tashkandi W., Tashkandi H., Trabulsi N., Ba M.B., Diallo A.C., Ndong A., Cuk V., Jankovic U., Koh S.Z., Koh F., Lee K.C., Lee K.Y., Lee S., Leong W.Q., Lui S.A., Prakash P., Grosek J., Norcic G., Tomazic A., Fitchat N., Jaich R., Wineberg D., Koto M.Z., Baiocchi D., Clarke D., Steenkamp C.J., Bannister S., Boutall A., Chinnery G., Coccia A., Dell A., Karjiker P., Kloppers C., Loxton N., Mabogoane T., Malherbe F., Panieri E., Rayamajhi S., van Wyngaard T., Warden C., Madiba T.E., Pillay N., Brooks S., Kruger C., Van Der Merwe L.H., Gool F., Kariem M., Bougard H., Kariem N., Noor F., Pillay R., Steynfaardt L., Gonzalez Gonzalez L., Marin Santos J.M., Martin-Borregon P., Martinez Caballero J., Nevado Garcia C., Rodriguez Fraga P., De Castro Parga G., Fernandez Veiga M.P., Garrido Lopez L., Infante Pino H., Lages Cal I., Lopez Otero M., Nogueira Sixto M., Paniagua Garcia Senorans M., Rodriguez Fernandez L., Ruano Poblador A., Rufo Crespo E., Sanchez-Santos R., Vigorita V., Alonso Batanero E., Asnel D., Cifrian Canales I., Contreras Saiz E., De Santiago Alvarez I., Diaz Vico T., Fernandez Arias S., Fernandez Martinez D., Garcia Bernardo C., Garcia Florez L.J., Garcia Gutierrez C., Garcia Munar M., Marquez Zorrilla Molina C.A., Merayo M., Michi Campos J.L., Moreno Gijon M., Otero-Diez J.L., Rodicio Miravalles J.L., Solar-Garcia L., Suarez Sanchez A., Truan N., Alejandre Villalobos C., Caballero Diaz Y., Jimenez M., Montesdeoca D., Navarro-Sanchez A., Vega V., Beltran de Heredia J., Gomez Z., Jezieniecki C., Legido Moran A.P., Montes-Manrique M., Rodriguez-Lopez M., Ruiz Soriano M., Trujillo Diaz J., Vazquez Fernandez A., Argudo N., Pera M., Torrent Jansa L., Garcia Dominguez M., Goded I., Roldon Golet M., Talal El-Abur I., Utrilla Fornals A., Zambrana Campos V., Aguilar Martinez M.D.M., Bosch M., Garcia-Catala L., Sanchez-Guillen L., Artigau E., Gomez Romeu N., Julia Bergkvist D., Espina Perez B., Morato O., Olona C., Dieguez B., Forero-Torres A., Losada M., Gomez-Abril S., Gonzalvez P., Martinez R., Navarro Martinez S., Paya-Llorente C., Perez Rubio A., Santarrufina Martinez S., Sebastian Tomas J.C., Trullenque Juan R., Gegundez Simon A., Mate P., Prieto-Nieto M.I., Rubio-Perez I., Urbieta A., Vicario Bravo M., Abello D., Frasson M., Garcia-Granero A., Abad Gurumeta A., Abad-Motos A., Lucena-de Pablo E., Nozal B., Ripolles-Melchor J., Salvachua R., Ferrero E., Garcia-Sancho Tellez L., Picardo A.L., Rojo Lopez J.A., Zorrilla Matilla L.P., Cagigas Fernandez C., Castanedo Bezanilla S., Estevez Tesouro J., Fernandez-Diaz M.J., Garcia Cardo J., Gomez Ruiz M., Gonzalez-Tolaretxipi E., Jimeno Fraile J., Poch C., Rodriguez-Aguirre M., Troche Pesqueira N., Trugeda-Carrera M.S., de la Torre J., Blanco-Colino R., Espin-Basany E., Espinosa-Bravo M., Morales Comas C., Reyes Afonso E., Rivero Deniz J., Siso Raber C., Verdaguer Tremolosa M., Chandrasinghe P., Kumarage S., Wijekoon Arachchilage N., Abdalla Ahmed Elkamel A., A. Adam M., Blomme N., Thorell A., Wogensen F., Alga A., Ansarei D., Celebioglu F., Heinius G., Nigard L., Pieniowski E., Ahlqvist S., Bjorklund I., Franberg A., Hakansson M., Adamo K., Franklin O., Sund M., Wiberg R., Andersson Y., Chabok A., Nikberg M., Kugelberg A., Canonica C., Christoforidis D., Fasolini F., Gaffuri P., Giuliani M., Meani F., Popeskou S.G., Pozza S., Wandschneider W., Peterer L., Widmer L.W., Zimmermann B., Bakoleas P., Chanousi I., Charalampidou L., Grochola L.F., Heid F., Ntaoulas S., Outos M., Peros G., Podolska-Skoczek H., Reinisch K.B., Zielasek C., Demartines N., Gilgien J., Kefleyesus A., St-Amour P., Toussaint A., Alhimyar M., Alsaid B., Alyafi A., Alkhaledi A., Kouz B., Omarain A., Al-Sabbagh Y., Alkhatib H., Sara S., Alhaj A., Danial A., Kadoura L., Maa Albared S., Monawar Y., Nahas L., Abd B., Saad A., Wakkaf H., Bouzaiene H., Ghalleb M., Akaydin E., Akbaba A.C., Atakul O., Baltaci E., Besli S., Burgu G., Cenal U., de Muijnck C., Demirkaya H.C., Dogruoz A., Gezer Z.I., Gundogdu Y., Kara M., Korkmaz H.K., Kurtoglu G.K., Ozben V., Ozmen B.B., Pektas A.M., Sel E.K., Yenidunya N., Bengur F.B., Oral B.M., Yozgatli T.K., Abdullayev S., Gunes M.E., Sahbaz N.A., Banaz T., Kargici K., Kuyumcu O.F., Yanikoglu E., Yesilsancak M., Yilmaz D., Aktas M.K., Rencuzogullari A., Isik A., Leventoglu S., Yalcinkaya A., Yuksel O., Kalayci M.U., Kara Y., Sarici I.S., Akin A., Alemdag G.N., Arslan E., Baki B.E., Bodur M.S., Calik A., Candas Altinbas B., Cihanyurdu I., Erkul O., Gul B., Guner A., Kose B., Semiz A., Sevim S., Tayar S., Tomas K., Tufek O.Y., Turkyilmaz S., Ulusahin M., Usta A., Yildirim R., Guler S.A., Tatar O.C., Varol E., Kirimtay B., Uysal M., Yildiz A., Kose E., Ciftci A.B., Colak E., Eraslan H., Kucuk G.O., Yemez K., Lule H., Bienfait M., Bua E., Okalany N., Basarab M., Bielosludtsev O., Kolhanova K., Perepelytsia K., Romanukha K., Savenkov D., Siryi S., Tereshchenko M., Viacheslav N., Volovetskyi A., Kebkalo A., Tryliskyy Y., Tyselskiy V., Bruce E., Chow B.L., Iddles E., McGuckin S., Newall N., Ramsay G., Sharma P., Stewart C., Wong J., Badran A., Bath M., Belais F., Butt E., Joshi K., Kapur M., Shaw M., Townson A., Williams C.Y.K., Gray T., Greig R., Husain M., Murray E., Mustafa A., Asif A., Gokul A., Shah M., Akitikori M.T., Charalabopoulos A., Davidson S., McNally S., Rupani S., Juma F., Mills S.C., Muirhead L., Sellars K., Walsh U., Warren O., Chambers A., Hunt R., Boyce S., Cornwall H., Tol I., Argyriou E.O., Eardley N., Povey M., Aithie J.M.S., Irfan A., McGuigan M.-C., Starr R., Warren C.R., Archibald J., Kirby G., Kisyov I., Khoo C.K., Lee R., Photiou D., Davis R., Prasad U., Yang P.Z., Bird J., Leung E., Summerour V., Currow C., Kiam J., Tan G.J.S., Muthusami A., Pegba-Otemolu I., Urbonas T., Nunoo-Mensah J., Smolskas E., Boddy A., Gravante G., Hunter D., Andrew D., Koh A., Thompson A., Adams L., Clements H.A., De Silva K., Ekpete O., Haque S., Henderson S., Ibrahim B., Jayasinghe T., Livie J., Mailley K., Nair G., Tan D., Baggaley C., Dawidziuk A., Szyszka B., Barter C., Gandhi N., Hassell K., Hitchin S., Kelsall J., Nagy E., Nessa A., Whisker L., Yanni F., Ali M., Arora D., Hediwattege S., Kumarasinghe N., Rathore M., Tennakoon A., Ali Ahmad S.M., Bajomo O., Nadira F., Celentano V., Griffiths E., Karri R.S., Mak J.K.C., Pipe M., Bhatti M.I., Rabie M., Boyle C., Hamilton D., Mihuna A., Ng J.C.K., Nicholson G., Oliwa A., Pearson R., Rose A., Yong S.Q., Boereboom C., Hanna M., Walter C., Greensmith T.S., Mitchell R., Monaghan E., Crawford J., Moug S., Blackwell J., Boyd-Carson H., Herrod P., Al-Allaf O., Beattie M., Bullock C., Burman S., Clark G., Flamey N., Flannery O., Harding A., Kodiatt B., Lawday S., Mahapatra S., Mukundu Nagesh N., Ng M., Rye D., Yoong A., Clark L., Deans C., Edirisooriya M., Carrington E.V., Wong T.L.E., Yusuf B., Chamberlain C., Duke K., Kmiotek E., Botes A., Condie N., Schrire T., Shah R., Thomas-Jones I., Yates C., Anthony N., Matthews E., Sahnan K., Tankel J., Tucker S., Winter Beatty J., Ziprin P., Duggan W., Kantartzi A., Sridhar S., Khaw R.A., Srivastava P., Underwood C., Alves do Canto Brum H., Chopra S., Davis L., Hughes R., Tulley J., Alberts J., Athisayaraj T., Olugbemi M., Ahmad K., Chan C., Chapman G., Fleming H., Fox B., Grewar J., Hulse K., Rutherford D., Sinead M., Speake D., Vaughan-Shaw P.G., Christodoulides N., Kudhail S., Welch M., Husaini S.M., Lambracos S., Anyanwu C., Suresh R., Thomas J.S., Gleeson E., Platoff R., Saif A., Enumah Z., Etchill E., Gabre-Kidan A., Bernstein M., Carrano F.M., Connors J., Lynn P., Melis M., Newman E., Foster D.S., Perrone K., Titan A., Ahmad S., Bafford A.C.M.D., Dal Molin M., Hanna N., Zafar S.N., Hemmila M., Napolitano L., Wong J.J., Chandler J., Wood L., Wren S., Ottesen T., You L., Yu K., Arcienega Yanez M.D.P., Ferreira Fernandes M., Gonzalez D., Cubas S., Gonzalez M.C., Zubiaurre V., Demolin R., Giroff N., Sciuto P., Campos M., Rodriguez Cantera G., Deepika G., Simuchimba E., Bulaya A., Chibuye C., Chirengendure B., Kabale M.-R., Kabongo K., Munthali J., Mweso O., Pikiti F., Otieno J., Lai L.T., Blackman B., Subramaniam S., Karim R., Kok N., Lee Y.D., Ali S., Sinha A., Corrigan R., Barnes N., Wong F., Dennis G., Jedamzik J., Phillips E., Piette W., Van hentenryck M., Koco H., Lawani S., Kassa M.W., Santos Bezerra T., Gribnev P., Dimitrov D., Krastev P., Oum S., Bonghaseh D.T., Al Farsi M., Alsharqawi N., Acevedo V., Castillo Barbosa A.C., Giron F., Leon Rodriguez J.P., Kucan D., Rosko D., Barsic N., Zupan D., Hegazi A., Truncikova V., Fryba V., Mohamed M., Nagi A., Rashad Temerik A., Elshawy M.E., Mahmoud M.I., Anwar M., Rageh T., Elmokadem A., Gaballa K., Teppo S., Pengerma P., Ballouhey Q., Bergeat D., Weyl A., Hain E., Gyedu A., Yenli E., Osei-Poku D., Rompou V.-A., Zoikas A., Gaitanidis A., Koukis G., Perivoliotis K., Tavlas P., Galanos-Demiris K., Zografos G., Karavokyros I., Xanthopoulou G., Iordanidou E., Ayau F., Garcia A., Damjan P., Wason D., B L A., Rangganata E., Kamath P., O'Connor D.B., Pinto M., Perrone F., Tropeano F.P., Troilo F., Bossi D., Scala D., Pulitano L., Carella M., Pietrabissa A., Gori A., Giraudo G., De Simone V., Russo A.A., Braccio B., Al-Taher R., Athamneh S., Parker A., Sawiee A., Kattia A., Tababa O., Shaeeb Z., Syminas V., Jurgaitis J., Damuleviciene G., Svagzdys S., Razafimanjato N.N.M., Chieng Loo L., Tiong I.C., Wan Muhmad W.F., Vijeyan H., Li Ying T., Grech G., Arrangoiz R., Jimenez Ley V.B., Arizpe D., Lagunes Lara E., Castro Lopez E.V., Eaazim J., Gordinou de Gouberville M., Bastiaenen V., Rottier S., Nahab F., Ji M.Y., Seyoji M., Nwachukwu C., Emeghara O., Muhammed S.E., Idowu A., Sowemimo O., Ogundoyin O., Akande O., Lott A., Nadeem M., Laghari A.A., Loya A., Mushtaq H., Abdullah M.T., Abuhilal B., Atawneh M., Hamdan H., Alhabil B., Srour A., Mousa I., Da Silva Medina L., Bartosiak K., Ferreira P., Francisco V., Lemos R., Frutuoso L., Fernandes S., Fonseca T., Pereira J., Rachadell J., Torre A., Madeira Martins F., Carvalho A.C., Rodrigues Ferreira J., Ribeiro da Silva B., Devesa H., Vieira A., Monica I., Amaro M., Sousa D., Reia M., Louro J., Martins A., Dominguez J., Santos I., Freitas Oliveira N.M., Pereira J.C., Silva-Vaz P., Freire L., Escrevente R., Negoita V.M., Shakhmatov D., Nezerwa Y., Radulovic R., Obery G., Viljoen F., Mendes T., Suarez A., Moncada E., Fernandez-Hevia M., Curtis Martinez C., Gil Garcia J.M., Gonzalez Zunzarren M., Idris T., Eklov K., Grahn O., Amin L., Blomqvist M., Ajani C., Kraus R., Seeger N., Willemin M., Rayya F., Ayash M., Msouti R., Kannas I., Abazid E., Esper A., Slim S., Kavcar A.S., Aytac E., Dural A.C., Ilker A., Eray I.C., Kurnaz E., Altiner S., Tepe M.D., Sahin C., Savli E., Innocent A., Babirye L., Diachenko A., Hordoskiy V., Curry H., Chau C.Y.C., Robertson H., Lennon H., Loi L., Kirkham E., McCann C., Watts D., Gurung B., Wilson M., Tribedi T., Garofalo E., Zahra B., MacDonald S., Daniels I., Ng N., Khosla S., Olivier J., Yue S.Y.P., Suresh G., Wellington J., Lorejo E., Mossaad M., Crutcher M., Alimi M., Baiu I., Abdou H., Conway A., Peck C., Perdomo Perez M.A., Zulu S., Nakazwe M., Knight, S. R., Shaw, C. A., Pius, R., Drake, T. M., Norman, L., Ademuyiwa, A. O., Adisa, A. O., Aguilera, M. L., Al-Saqqa, S. W., Al-Slaibi, I., Bhangu, A., Biccard, B. M., Brocklehurst, P., Costas-Chavarri, A., Chu, K., Dare, A., Elhadi, M., Fairfield, C. J., Fitzgerald, J. E., Ghosh, D., Glasbey, J., van Berge Henegouwen, M. I., Ingabire, J. C. A., Kingham, T. P., Lapitan, M. C., Lawani, I., Lieske, B., Lilford, R., Martin, J., Mclean, K. A., Moore, R., Morton, D., Nepogodiev, D., Ntirenganya, F., Pata, F., Pinkney, T., Qureshi, A. U., Ramos-De la Medina, A., Riad, A., Salem, H. K., Simoes, J., Spence, R., Smart, N., Tabiri, S., Thomas, H., Weiser, T. G., West, M., Whitaker, J., Harrison, E. M., Gjata, A., Modolo, M. M., King, S., Chan, E., Nahar, S. N., Waterman, A., Vervoort, D., Bedada, A. G., De Azevedo, B., Figueiredo, A. G., Sokolov, M., Barendegere, V., Ekwen, G., Agarwal, A., Liu, Q., Camilo Correa, J., Malemo, K. L., Bake, J., Mihanovic, J., Kuncarova, K., Orhalmi, J., Salem, H., Teras, J., Kechagias, A., Arnaud, A. P., Lindert, J., Kalles, V., Aguilera-Arevalo, M. -L., Recinos, G., Baranyai, Z., Kumar, B., Neelamraju Lakshmi, H., Zachariah, S. K., Alexander, P., Kumar Venkatappa, S., Pramesh, C., Amandito, R., Fleming, C., Ansaloni, L., Pellino, G., Altibi, A. M., Nour, I., Hamdun, I., Ghellai, A. M., Venskutonis, D., Poskus, T., Zilinskas, J., Malemia, P., Tew, Y. Y., Borg, E., Ellul, S., Wafqui, F. Z., Borowski, D. W., van Dalen, A. S., Wells, C., Adamou, H., Ademuyiwa, A., Adisa, A., Soreide, K., Al Saqqa, S., Alser, O., Tahboub, H., Segovia Lohse, H. A., Shu Yip, S., Major, P., Sampaio Soares, A., Bratu, M. R., Litvin, A., Vardanyan, A., Allen Ingabire, J. C., Gudal, A., Albati, N., Juloski, J., Rems, M., Rayne, S., Van Straten, S., Moodley, Y., Ortega Vazquez, I., Ruiz-Tovar, J., Senanayake, K. J., Thalgaspitiya, S. P. B., Omer, O. A., Homeida, A., Cengiz, Y., Clerc, D., Alshaar, M., Bouaziz, H., Altinel, Y., Doe, M., Freigofer, M., Teasdale, E., Kabariti, R., Clements, J. M., Ashfaq, A., Azodo, I., Wagner, G., Trostchansky, I., Maimbo, M., Linyama, D., Nina, H., Zeko, A., Fermani, C. G., Villalobos, S., Carballo, F., Farina, P., Guckenheimer, S., Dickfos, M., Ajmera, A., Chong, C., Gourlay, R., Hussaini, S., Lee, Y. J., Majid, A., Martin, P., Miles, R., Morris, O. J., Phua, J., Ridley, W., Saluja, T., Tan, R. R., Teh, J., Wells, A., Arora, B., Dollie, Q., Ho, D., Ma, Y., Perera, O. M., Truong, A., Dawson, A. C., Lim, B., Pahalawatta, U., Phan, J., Woon-Shoo-Tong, X. -M. S., Yeoh, A., Charman, L., Drane, A., Laura, S., Lo, C. C. W., Mozes, A., Poon, R., Tan, H. H., Wall, E., Chopra, P., De Giovanni, J., Dhital, B., Draganic, B., Duller, A., Gani, J., Goh, Y. K., Jeong, J. Y., Mcmanus, B., Nagappan, P., Pockney, P., Rugendyke, A., Sarrami, M., Smith, S., Wills, V., Wong, H. V., Ye, G., Zhang, G., Brooker, E., Feng, D., Lau, B., Ngai, C., Birks, S., Gyorki, D., Otero de Pablos, J., Abbosh, A., Gillespie, C., Mahmoud, A., Kwan, B., Lawson, J., Warwick, A., Bingham, J., Cockbain, A. J., Dudi-Venkata, N. N., Ellaby-Hall, J., Finlay, B., Humphries, E., Pisaniello, J., Pisaniello, M., Salih, S., Sammour, T., Abd Wahab, H. H., De Silva, A., Hayward, N., Iyer, K., Maddern, G., Prevost, G. A., Annapureddy, N., Settipalli, K. P., Yeo, J., Hempenstall, L., Pham, L., Purcell, S., Talavera, C., Vaska, A. I., Chaggar, G., Chrapko, P., Cocco, A., Coulter-Nile, S. M. C. J., Ctercteko, G., French, J., Gong, H., Gosselink, M., Jegathees, T., Jin, I., Kalachov, M., Kiefhaber, K., Lee, K., Luong, J., Phan, S., Pleass, H., Veale, K., Zeng, Z., Au, A., Debiasio, A., Deng, I., Myooran, J., Nair, A., Stewart, P., Stift, A., Unger, L. W., Wimmer, K., Ahmed, N., Hasan, S., Rahman, S., O'Shea, M., Padmore, G., Peters, A., Perduca, P., Pulcina, G., Tinton, N., Buxant, F., Dabin, E., Garofalo, G., Dossou, F., Gnangnon, F. H. R., Imorou Souaibou, Y., Motlaleselelo, P., Tlhomelang, O., Lima Buarque, I., Mendonca Ataide Gomes, G., Vieira Barros, A., Batashki, I., Damianov, N., Stoyanov, V., Dardanov, D., Maslyankov, S., Petkov, P., Todorov, G., Zhivkov, E., Akisheva, A., Castilla Moreno, M. A., Genov, G., Ilieva, I., Ivanov, T., Karamanliev, M., Khan, A., Mitkov, E., Yotsov, T., Atanasov, B., Belev, N., Slavchev, M., Nsengiyumva, C., Jones, E., Stock, S., Kyota, S., Brown, J., Mabanza, K. T., Nigo Samuel, L., Otuneme, C., Prosper, N., Umenze, F., Boutros, M., Caminsky, N., Dumitra, S., Garfinkle, R., Morency, D., Salama, E., Banks, A., Ferri, L., He, H., Katz, A., Liberman, A. S., Meterissian, S., Pang, A., Parvez, E., Hameed, U., Osman, F., Sequeira, S., Coburn, N., Jaffer, A., Karanicolas, P., Mosseler, M., Musselman, R., Liu, X., Yip, C. W., Garces-Otero, J. S., Guzman, C., Sierra, S., Uribe Valencia, A., Cabrera Rivera, P. A., Camelo, S., Gonzalez, A., Gonzalez-Orozco, A., Mosquera Paz, M. S., Perez Rivera, C. J., Gonzalez, F., Isaza-Restrepo, A., Nino- Torres, L., Arias Madrid, N., Mendoza Arango, M. C., Tsandiraki, J., Jemendzic, D., Kocman, B., Suman, O., Canic, R., Jurisic, D., Karakas, I., Krizanovic Rupcic, A., Pitlovic, V., Samardzic, J., Kopljar, M., Bacic, I., Domini, E., Karlo, R., Miljanic, D., Simic, A., Ahmed, M., Al Nassrallah, M., Altaf, R., Amjad, T., Eltoum, R., Haidar, H., Hassan, A., Khalil, O., Qasem, M., Ramesh, R., Sajith, G., Wisal, M., Zatecky, J., Bujda, M., Jirankova, K., Paclik, A., Abdallah, A., Abdulgawad Almogy, M., Ayman El-sawy, E., Elfayoumy, A. M., Elghareeb, N., Esmat, N. A., Fadel, A., Habater, A., Hamdy, H., Hefni, A., Kamal, M., Mohamed Abobakr, N., Sayed, A., Shaker, N., Taha, E., Tharwat, H., Zakaria, O., Abdelmotaleb, I., Al-Dhufri, A., Al-Himyari, H. S., El sheikh, E., Eldmaty, A., Elkhalawy, A., M. Elkhashen, A., Magdy, K., Mostafa, S., Sadia, H. D., Saleh, M. M., Samir, D., Yahia Mohamed Ali, M., A. Nassar, M., Abdelhady, S., Abdelrazek, A., Abdelsalam, I., El-Sawy, A., Essam, E., Gadelkarim, M., Ghaly, K., Hassabalnaby, M., Masarani, R., Mohamed Shaaban, N., Sabry, A., Salem, M., Soliman, N. A., Zahran, D., Abou, El. soud M. R., Badr, E. T., Borham, H., Elmeslemany, N., Elsayed, M., Elsherif, F., Eslam, S., Gaber, G., Ibrahim, S., Kamh, Y., Mohamed, S. G., Morshedy, E., Omar, C., Salem Soliman, F., Abdelkawy, S., Abdelmohsen, N., Abdelshakour, M., Dahy, A., Gamal, N., Gamal, M., Hasan, A., Hetta, H., Mousa, N., Omar, M., Rabie, S., Saad, M., Saleh, B., Sayed Mohamed, M., Shawqi, M., Abdelhady Mousa, H., Alnoury, M., Elbealawy, M., Elshafey, A., Essam Ibrahim El Desouki Muhammad Ahmed, M., Ghonaim, M., Hgag, F., Ibrahim, M., Morsy, M., Reda Loaloa, M., Refaat, A., Samir, H., Shahien, F., Sobhy, M., Sroor, F., Abdellatif, E., Adel, M., Afifi, A. A., Afifi, E., Antaky, M., Dawoud, A., El Zoghby, N., El-remaily, A., Elzanfaly, A. A., Gadallah, A., Gamal, F. A., Hashem, O., Medhat Youssef, S., Muhammad Attyah, A., Munir, M., Shazly, O., Wilson, K., Adel, S., Ali, A., Eid, E., Elhelow, E., Elmahdy, M., Elshatby, B., Hossam el-din Zakaria, A., Hossny, A., Ibrahim, E., M. Yonis, A., Metwalli, M., Yousry, B., Zid, E., A Yacoub, M., Abdelhakim, A., Abouelsoad, N., Alkhatib, M., Ashraf, A., Elazab, Y., Elfanty, M., Elkabir, O., Elshimy, A., Elsobky, H., Eskander, J., Gad, A., Hamsho, W., Khaled Abdelwahed, N., Magdy, M., Moharam, D., Osama, A., Ramadan, S., Roum, R., Sayed, T., Shehada, T., Zidan, A. M., Abbas, K., Attia, M., Balata, M., El Nakeeb, A., Elewaily, M. I. E., Elfallal, A., Elfeki, H., Elkhadragy, A., Emile, S., Ezzat, H., Hosni, H., Mansour, I., Omar, W., Othman, G., Sadek, K., Shalaby, M., Shehab-Eldeen, N., Anas khalifa, R., Badr, H., Eldeep, M., Eldeep, A., Eldoseuky mohammed, A., Khallaf, S., Magdy Hegazy, E., Mahmoud, R., Mikhail, P., Morsi, M., Mowafy, S., Raafat, D., Safy, A., Sera, M., Sera, A. S., Abdallah, M. S. M., Abdelkader, M., Abdou, A. O., Ahmed, A., Gaafar, S., Ibrahim negm, F., Lapic, M., Maher, A., Mahmoud, H., Mostafa, A., Samir, M., Samy, F., Semeda, N., Shalaby, H. I., El-taweel, A., Galal Elnagar, A., Hemidan, A. G., Hussein, M., Kandil, A. A., Moawad, M., Nasser Hamamah, A. A., Soliman, M., Abdelkhalek, M., Abdelmaksoud Tawakel, N., Abdelwahed, A. M., Abdou, A., Atallah, K., Elsherbeny, M. Y., Emara, E., Hamdy, M., Hamdy, O., Haron, A., Ismail, S., Metwally, I. H., Mohamed Hamed Elgaml, N., Nassar, A., Refky, B., Sadek, M., Saleh, M., Yunes, A., Zakaria, M., Zuhdy, M., Fayed, N., Mohammed, M. M. H., Kutner, S., Melnik, P., Seire, I., Umarik, T., Ainoa, E., Eerola, V., Koppatz, H., Koskenvuo, L., Sallinen, V., Takala, S., Katunin, J., Turunen, A., Christou, N., Mathonnet, M., Lavoue, V., Nyangoh Timoh, K., Soulabaille, L., Lesourd, R., Merdrignac, A., Sulpice, L., Andre, B., Chantalat, E., Vaysse, C., Dousset, B., Gaujoux, S., Martin, G., Clonda, O., Juodis, D., Kienle, K., Mravik, A., Palmer, S., Szabadhegyi, G., Agbeko, A. E., Gyabaah, S., Gyamfi, F. E., Naabo, N., Owusu senior, A., Yorke, J., Owusu, F., Abantanga, F., Anyomih, T. T. K., Muntaka, A. -J. M., Owusu Abem, E., Sheriff, M., Wondoh, P. M., Balalis, D., Korkolis, D., Gkiokas, G., Pantiora, E., Theodosopoulos, T., Ioannidis, A., Konstantinidis, K., Konstantinidou, S., Machairas, N., Paspala, A., Prodromidou, A., Chouliaras, C., Papadopoulos, K., Baloyiannis, I., Mamaloudis, I., Tzovaras, G., Akrida, I., Argentou, M. -I., Germanos, S., Iliopoulos, E., Maroulis, I., Skroubis, G., Theofanis, G., Chatzakis, C., Ioannidis, O., Loutzidou, L., Karathanasis, P., Michalopoulos, N., Theodoropoulos, C., Theodorou, D., Triantafyllou, T., Garoufalia, Z., Hasemaki, N., Kontos, M., Kouraklis, G., Kykalos, S., Liakakos, T., Mpaili, E., Papalampros, A., Schizas, D., Syllaios, A., Tampaki, E. C., Tsimpoukelis, A., Antonopoulou, M. I., Deskou, E., Manatakis, D. K., Papageorgiou, D., Zoulamoglou, M., Anthoulakis, C., Margaritis, M., Nikoloudis, N., Campo, V., Ceballos, A., Flores, M. -A., Giron, W., Ko, D., Martinez, G., Rivera Lara, V., Rueda, N., Sanchez, A., Tejeda Garrido, J. C. G., Alvarez Rivera, A. E., Bamaca Ixcajoc, E. B., Barreda Zelaya, L. E., Chacon-Herrera, P., Corea Ruiz, L. M., Echeverria-Davila, G., Garcia, M., Garcia, D., Gutierrez Mayen, E. F., Jose, N., Mazariegos, N., Mendez, D., Paniagua Espinoza, M., Bardos, D., Benke, M., Illes, K., Kokas, B. A., Szabo, R., Appukuttan, A., Asok, A., Vijaykumar, D. K., Malik, K., Ravishankaran, P., Tapkire, R., Moorthy, G., Abraham, J., Muthuvel, R., Alapatt, J., Kattepur, A., Pareekutty, N., Garod, M., Harris, C., Wanniang, C., Gupta, A., Nehra, D., Parshad, S., Acharya, R., Badwe, R., Bhandare, M., Jain, U., Kirti, K., Nair, N., Shrikhande, S., Thakkar, P., Anandan, P., C S, A., Holenarasipur Narasannaiah, A., Jagarlamudi, T., M R, R., Manangi, M., Raghavendra, A., Rao, K. S., S, V., Sajjan, V., Shenoy, A., Shivashankar Chikkanayakanahalli, S., Tharanath, K., V, S., Adidharma, P., Agarwal, R., Anggita Gultom, P., Arifin, G. R., Billy, M., Elfizri, Z., Fahira, A., Felicia, D., Gunardi, T. H., Johanna, N., Nugrahadi, N. R., Panigoro, S. S., Rahmayanti, S., Sihotang, R. C., Brata, S. Y., Winoto, H., Barati, N., Karami, M., Khorshidi, H., Naderifar, H., Abdulla, M. A., Coleman, M., Doherty, R. J., Hannon, R., Murphy, B., Stakelum, A., Winter, D., Aljohmani, L., Farnan, R., Seldon, Y., Tan, T., Varghese, S., Alherz, M., Ather, M., Bajilan, M., Graziadei, V., Pilkington, I., Quidwai, O., Ridgway, P., Shiwani, H., Tahir, A. A. -R., Blunnie, E., Burke, D., Kennedy, N., Macdonagh, K., O'Neill, M., Rooney, S., Falco, G., Ferrari, G., Mele, S., Nita, G. E., Ugoletti, L., Zizzo, M., Confalonieri, G., Pesenti, G., Tagliabue, F., Baronio, G., Ongaro, D., Pata, G., Compagnoni, B., Salvadori, R., Taglietti, L., D'Alessandro, N., Di Lascio, P., Pascale, G., Bortolasi, L., Campagnaro, T., Carlini, M., Lisi, G., Lombardi, D., Pedrazzani, C., Spoletini, D., Turri, G., Violi, P., Altomare, D. F., Aquilino, F., Musa, N., Papagni, V., Picciariello, A., Vincenti, L., Andreotti, D., Occhionorelli, S., Tondo, M., Basso, S. M. M., Cirelli, R., Maino, M. E. M., Piozzi, G. N., Picone, E., Scaramuzzo, R., Sinibaldi, G., Amendola, A., Anastasio, L., Bucci, L., Caruso, E., Castaldi, A., Di Maso, S., Dinuzzi, V. P., Esposito, G., Gaudiello, M., Giglio, M. C., Greco, P. A., Luglio, G., Manfreda, A., Marra, E., Mastella, F., Pagano, G., Peltrini, R., Pepe, V., Sacco, M., Sollazzo, V., Spiezio, G., Cianchetti, E., Menduni, N., Carvello, M. M., Di Candido, F., Spinelli, A., Corsi, F., Sorrentino, L., Marino, F., Asti, E. L. G., Bonavina, L., Rausa, E., Asta, M., Belli, A., Bianco, F., Cervone, C., Delrio, P., Falato, A., Fares Bucci, A., Guarino, R., Pace, U., Rega, D., De Luca, E., Gallo, G., Sammarco, G., Sena, G., Vescio, G., Santandrea, L., Ugolini, G., Zattoni, D., Chetta, N., Logrieco, G., Vanella, S., Garulli, G., Zanini, N., Bondurri, A., Cammarata, F., Colombo, F., Foschi, D., Lamperti, G. M. B., Maffioli, A., Sampietro, G. M., Yakushkina, A., Zaffaroni, G., Cicuttin, E., Sibilla, M. G., Impellizzeri, H., Inama, M., Moretto, G., Mochet, S., Ponte, E., Usai, A., Mancini, S., Sagnotta, A., Solinas, L., Bolzonaro, E., Tamini, N., Curletti, G., Galleano, R., Malerba, M., Campanella, S., Cocorullo, G., Colli, F., De Marco, P., Falco, N., Fontana, T., Kamdem Mambou, L. J., La Brocca, A., Licari, L., Randisi, B., Rizzo, G., Rotolo, G., Salamone, G., Tutino, R., Venturelli, P., Malabarba, S., Sgro, A., Vella, I., Cirillo, B., Crocetti, D., De Toma, G., Lapolla, P., Mingoli, A., Sapienza, P., Belvedere, A., Bianchini, S., Binetti, M., Birindelli, A., Tonini, V., Podda, M., Pulighe, F., De Rosa, M., Bono, L., Borghi, F., Geretto, P., Giuffrida, M. C., Lauro, C., Marano, A., Pellegrino, L., Salusso, P., Sasia, D., Campanelli, M., Realis Luc, A., Trompetto, M., Cardia, R., Cillara, N., Giordano, A. N., Costanzo, A., Giovilli, M. A., Turati, L., Canonico, S., Sciaudone, G., Selvaggi, F., Selvaggi, L., Albsoul, N., Albsoul, A., Alkhatib, A. A., Alsallaq, O., Amarin, J. Z., Ayoub, R., Bsisu, I., El Muhtaseb, M. S., Jabaiti, M., Melhem, J., Qwaider, Y. Z., Salameh, M. H., Suleihat, A., Suradi, H. H., Alammarin, M., Aljaafreh, A., Bani hani, M., Bani hani, Z., Bani Hani, F., Fahmawee, T., Hamouri, S., Katanani, C., Tawalbeh, R., Tawalbeh, T., Zawahrah, H., Abou Chaar, M. K., Abusalem, L., Al-Masri, M., Al-Najjar, H., Barghuthi, L., Ahmed, Z., Maulana, A., Ngotho, O., Kamau, C., Stanley Mwenda, A., Bosire, F., Mwachiro, E., Parker, R., Simel, I., Sylvester, K., Althini, A. A. M., Elbarouni, S., Elbeshina, A. E., Gwea, A., Malek, A., Masoud Farag, W. A., Abdalei, A., Abdel Malik, A. B., Abo-khammash, A., Abuhlaiga, M., Adnan, N., Albaggar, M., Alfitory, A., Aljanfi, A., Almuzghi, F., Altumei, Z., Alzabti, F., Ashoushan, H., Assalhi, M., Azzubia, J., Bnhameida, S., Delhen, M., Elshafei, H., Elteir, H., Esbaga, F., Gobbi, A. A., Hamouda, F., Hilan, H., Ismail, R., Jebran, F., Kasbour, M., Maderi, G., Mohammad, S., Mohammed, B., Murtadi, H., Mustafa, H., Rajab, M., Trenba, S., Wafaa, M., Al Sagheir, E., Almigheerbi, A., Alzahaf, A., Bahroun, S. G., Ben Dallah, N., Elshaibani, M., Eswaye, H., Karar, M., Omar, S., Younes, E., Younes, M., Zreeg, D., Abujamra, S., Ashour, F., Elgammudi, M., Omar, F. Aljadidi W., Saddouh, E., Sharif, R., Alabuzidi, A., Alwerfally, A., Aribi, S., Bibas, F., Elfaituri, T., Elhajjaji, Y., Khaled, A., Khalil, W., Layas, T., Soula, E., Tarek, A., Abu hallalah, M. F. K., Ahmed, H. A., Alsharef, T., Ben Saoud, A. A., El Gharmoul, T., Elhadi, A., Elrais, S., Shebani, A., Zarti, H., Zeiton, A., Ambrazevicius, M., Kaselis, N., Stakyte, M., Aliosin, O., Cizauskaite, A., Dailidenas, S., Eismontas, V., Kybransiene, M., Nutautiene, V., Samalavicius, N., Simcikas, D., Slepavicius, A., Tamosiunas, A., Ubartas, N., Zeromskas, P., Bradulskis, S., Dainius, E., Juocas, J., Kubiliute, E., Kutkevicius, J., Opolskis, A., Parseliunas, A., Subocius, A., Virbickaite, E., Zuikyte, D., Bogusevicius, A., Buzaite, K., Cepuliene, D., Cesleviciene, I., Cesna, V., Gribauskaite, J., Ignatavicius, P., Jokubauskas, M., Liugailaite, M., Margelis, E., Mazelyte, R., Pankratjevaite, L., Pazusis, M., Rackeviciute, A., Saladyte, J., Skimelyte, M., Slenfuktas, V., Sudeikyte, M., Tamelis, A., Vanagas, T., Zumbakys, Z., Atkociunas, A., Dulskas, A., Kuliavas, J., Birutis, J., Paskevicius, S., Satkauskas, M., Danys, D., Jakubauskas, M., Jakubauskiene, L., Kryzauskas, M., Lipnickas, V., Makunaite, G., Rasoaherinomenjanahary, F., Rasolofonarivo, H., Samison, L. H., Banda, B., Msosa, V., Ahmad Izzuddin, A. I., Das, A., Gan, Y. Y., Shong Sheng, T., Siaw, J. Y., Ab Rahim, M. F., Abang Jamari, D. Z. H., Che Husin, N., Kamarulzaman, M. Y., Lim, Y. P., Mohamed Kamil, N. A., Mohd Hassan, M. R., Mohd Sahid, S., Mustafa, J., Ng, E. H. B., Wan Khazim, W. K., Chang Ern, N., Lingeshan, P. G., Sulaiman, S. E., Ang, S. E., Bin Mohamad Sithik, M. N., Cheong, Y. J., Deva Tata, M., Jia Xian, L., Kadravello, A., Koh, I. -E., Ng, L. -Y., Ng We Yong, Y. J., Palayan, K., Sam, C. X., Siow Jin, P., Tan Ern Hwei, J., Tang, Y., Ter, A. Z., Wong, M. P. -K., Zakaria, A. D., Zakaria, Z., Henry, F., Kalaiselvan, T., Abd Karim, M. F. S., Abdul Aziz, M. R., Abdul Aziz, N., Khong, T. L., Lau, P. C., Lim, H. C., Roslani, A. C., Seak, J. C. K., Wong, S. -W., Wong, L. F., Yeen Chin, L., Anyanwu, M. C., Busuttil, Z., Calleja, T., Chircop, K. L., Cutajar, R., Dimech, A. M., Galea, J., Gascon Perai, K., Gatt, R., Kelman, L., Micallef, E., Nwolu, F., Sammut, K., Thompson, J., Warwicker, S., Zammit, M., Cordera, F., Cruz Gonzalez, E., Sanchez-Garcia, J., Barbosa Camacho, F. J., Barrera Lopez, F. J., Zuloaga Fernandez del Valle, C. J., Acosta, E., Gonzalez Espinoza, I. R., Moreno, P., Cortes-Flores, A. O., Fuentes Orozco, C., Gonzalez Ojeda, A., Corro Diaz Gonzalez, S., Martinez, L., Mosqueda Amador, B., Novoa, A., Olazo Espejo, D. A., Jimenez, A., Lopez Rosales, F., Vanoye, E. G., Garcia Gonzalez, L. A., Miranda-Ackerman, R. C., Solano-Genesta, M., Alvarez-Cano, A., Romero-Garza, H. H., Medina-Franco, H., Mejia-Fernandez, L., Salgado-Nesme, N., Vergara-Fernandez, O., Gutierrez-Mota, G. M., Hernandez Vera, F. X., Llantada Lopez, A., Morgan Villela, G., Ramirez Padilla, F. D. J., Tapia Marin, W., Martinez Maldonado, M., Sanchez Suarez, R., Troche, J. M., Benyaiche, C., Outani, O., Amine, S., Benkabbou, A., Majbar, A. M., Mohsine, R., Rafik, A., Oung, T., Tin, M. M., Plarre, P., Alberga, A., Sluiter, N., Tuynman, J., Blok, R., Comert, D., Hompes, R., Kalff, M., Stellingwerf, M. E., Tanis, P., van Berge Henegouwen, M., van Praag, E. M., Wisselink, D., Gerhards, M., Lopes Cardozo, J., Westerduin, E., de Jonge, J., van Geloven, A., van Schilt, K., den Boer, F., Stoots, S., Vlek, S., Adams, J., Al-Busaidi, I. S., Budd, G., Choi, S. I., Chu, M. J. J., Ganugapati, A., Mckinstry, L., Pascoe, R., Richards, S., Rosser, K., Stevenson, A., White, R., Farik, S., Kwun, J., Murad, A., Cowan, S., Hall, T., Hayton, M., Malam Sani, L., Oumarou Garba, S., Amadou Magagi, I., Habou, O., Aliyu, H., Daniyan, M., Sholadoye, T. T., Abdullahi, L., Anyanwu, L. -J., Mohammad Mohammad, A., Muhammad, A. B., Sheshe, A. A., Suleiman, I., Adesina, A., Awolowo, A., Onuoha, C., Salami, O., Taiwo, O., Taiwo, A., Kache, S., Makama, J. G., Sale, D., Abiola, O., Ajao, A., Ajiboye, A., Etonyeaku, A., Olaogun, J., Adebanjo, A., Adesanya, O., Afolayan, M. O., Balogun, O., Makanjuola, A., Nwokocha, S., Ojewola, R. W., Olajide, T. O., Aderounmu, A., Adesunkanmi, A. -R., Agbakwuru, A., Akeem Aderogba, A., Alatise, O. I., Arowolo, O., Lawal, O., Mohammed, T., Ndegbu, C., Olasehinde, O., Wuraola, F., Akinkuolie, A., Mosanya, A., Ayandipo, O., Elemile, P., Lawal, T. A., Ali SANI, S., Garba, S., Hauwa SANI, R., Olori, S., Onyebuashi, H., Umoke, I., Adenuga, A., Adeyeye, A., Habeeb, O., Lawal, B., Nasir, A., Aahlin, E. K., Kjonas, D., Myrseth, E., Abbasy, J., Alvi, A., Saleem, O., Afzal, A., Nazir, A., Farooq, M., Liaqat, A., Naqi, S. A., Raza, A., Sarfraz, M., Sarwar, M., Banglani, M., Munir, A., Sehrish, R., Ayub, B., Sayyed, R., Altaf, A., Ayub, S., Saeed, K., Syed, B., Akbar, S. A., Anwer, A. W., Khan, R. N., Khan, A. I., Khattak, S., Mohtasham, S., Parvaiz, M. A., Syed, A. A., Ansari, A. B., Shahzad, N., Khaliq, T., Rashid, I., Waqar, S. H., Abu Al-saleem, H., Abu Alqumboz, A., Alqadi, M., Amro, A., Assa, R., Awesat, E., Ayyad, R., Hammad, M., Haymony, A., Hijazi, B., Hmeidat, B., Lahaseh, R., Qawasmi, A., Rajabi, A., Shehada, M., Shkokani, S., Yaghi, Y., Yaghi, N., Alzohour, M., Farid, M., Habes, Y. M., Juba, W., Nubani, Y., Rabee, A., Sa'Deh, M., Abed, S., Al basos, I., Alswerki, M., Ashour, D., Awad, I., Diab, S., El Jamassi, A., El-Kahlout, S., Elhout, S., Hajjaj, A. N. K., Hasanain, D., Nabil hajjaj, B., Obaid, M., Saikaly, E., Salhi, A., Al-Tammam, H., Almasri, M., Baniowda, M., Beshtawi, D., Horoub, A., Misk, R., Mohammad, B., Qasrawi, R., Sholi, T., Abu-Nimeh, S., Abu-srour, A., Abukhalaf, S. A., Adawi, S., Alsalameh, B., Ayesh, K., Elqadi, M., Hammouri, A., Karim Mustafa, F., Marzouqa, N., Melhem, S., Miqdad, D., Mohamad, B., Rawhi, M., Abu Ahammala, A. B., Abu Ataya, A., Abu Jayyab, I., Al-Shwaikh, S., Alagha, O., Alasttal, M., Awadallah, H., Elblbessy, M., Fares, J., Jarbou, A., Mahfouz, I., Albahnasawi, M. A., Abo mahadi, A., Abuelhatal, H., Abuelqomboz, A., Almoqayyad, A., Alwali, A., Balaawi, R., Hamouda, M., Humeid, M., Jedyan, A., Mahmoud Abu hamam, T., Matar, G., Salem, A. L., Samra, T., Shaheen, N., Shihada, K., A. Nemer, A., Abu Al Amrain, M., Abu Alamrain, A., Abu Jamie, N., Abu-Rous, M. R., Alfarra, N., Altaweel, M., Alwhaidi, N., Hamed, R., Saqqa, B., Shaheen, A., Aljaber, D., Aljaberi, L., Alwaheidi, M., Jawaada, A., Khaldi, H., Qahoush, R., Qari, J., Saadeh, R., Salim, A., Yacoub, A., Abbas, A., Abu shua'ib, R., Abu Zainah, B., Abusirrees, M., Babaa, B., Barhoush, O., Belal qadomi, A., Daraghmeh, L., Haji, R., Khatatbeh, A., Khatib, L., Qarariah, S., Quzmar, Y., Safadi, K., Salameh, R., Hassan, M., Herzallah, S., Massad, L., Nazzal, A., Nazzal, R., Escobar, D., Machain V, G. M., Rodriguez Gonzalez, A., Chachaima Mar, J. E., Chinchihualpa Paredes, N. O., Cuba, V., Lopez, W., Niquen Jimenez, M. M., Sanchez Bartra, N. A., Sapallanay Ojeda, O., Sequeiros, D., Toscano Pacheco, A., Vergara, M., Abarca, S., Alcorta, R., Borda-Luque, G., Eusebio Zegarra, I. E., Lujan Lopez, C., Marrufo, M., Mogrovejo, C., Nomura, A., Rodriguez Angeles, Y., Vidal Meza, M. R., Zavala, G., Castillo Arrascue, J. N., Hidrogo Cabrera, J. C., Larrea vera, J. J. M., Osorio, M., Ylatoma Diaz, E. A., Fontanilla, M. A., Fuentes, J. R., Salazar, A. L., Dominguez, G., Lopez, M. P., Macalindong, S., Onglao, M. A., Ramirez, A., Sacdalan, M. D., Tampo, M. M., Uy, G. L., Mangahas, J., Yabut, K., Canete, J. P., Cansana, B. E., Castro, E. J., Lipana, M. K., Roxas, M. F., Zara, V. J., Chrol, M., Franczak, P., Orlowski, M., Budzynski, P., Budzynski, A., Bury, P., Czerwinska, A., Dworak, J., Dziedzic, J., Kisielewski, M., Kulawik, J., Lasek, A., Malczak, P., Migaczewski, M., Pedziwiatr, M., Pisarska, M., Radkowiak, D., Rubinkiewicz, M., Rzepa, A., Skoczylas, T., Stanek, M., Truszkiewicz, K., Wierdak, M., Winiarski, M., Zarzycki, P., Zub-Pokrowiecka, A., Kowalewski, P., Roszkowski, R., Waledziak, M., Tome, M., Patrocinio, S., Guerreiro, I., Almeida, F., de Sousa, X., Monteiro, N., Costa Santos, M. T., de Oliveira, D., Lopes Serra, M., Morgado, D., Neves, C., Oliveira, A. C., Pimentel, A., Silva, S., Carvalho, M., Carvalho, L., Magalhaes, J., Matos, L., Monteiro, T., Ramos, C., Santos, V., Barbosa, J., Costa-Maia, J., Devezas, V., Fareleira, A., Fernandes, C., Goncalves, D., Mora, H., Morais, M., Silva de Sousa, F., Catarino Santos, S., Logrado, A., Tojal, A., Amorim, E., Cunha, M. F., Fazenda, A., Melo Neves, J. P., Sampaio da Novoa Gomes Miguel, I. I., Veiga, D., Azevedo, J., Cardoso Louro, H., Leite, M., Bairos Menezes, M., Gama, B., Brito, D., Cruz Martins, M. C., Graca e Magalhaes, A., Longras, A. C., Lourenco, R., Matos, D., Castro, L., Policarpo, F., Romano, J., Monteiro, C., Pinto, D., Duarte, M., Fortuna Martins, S., Oliveira, M., Galvao, D., Martins, L., Silva, A., Taranu, V., Vieira, B., Neves, J., Oliveira, S., Ribeiro, H., Cinza, M., Felix, R., Machado, A., Oliveira, J., Patricio, J., Pedroso de Lima, R., Pereira, M., Rocha Melo, M., Velez, C., Abreu da Silva, A., Claro, M., Costa Santos, D., Ferreira, A., Capote, H., Rosado, D., Tare, F., Nogueira, O., Angelo, M., Baiao, J. M., Guimaraes, A., Marques, J., Nico Albano, M., Silva, M., Valente da Costa, A., Vieira Caroco, T., Almeida Braga, S., Capunge, I., Fragoso, M., Guimaraes, J., Pinto, B., Ribeiro, J., Angel, M., Fialho, G., Guerrero, M., Campos Costa, F., Cardoso, D., Cardoso, V., Alves, M., Estalagem, I., Louro, T., Marques, C., Martelo, R., Morgado, M., Canotilho, R., Correia, A. M., Martins, P., Peyroteo, M., Gomes, J., Monteiro, R., Romano, M., Alves, D. M., Peixoto, R., Quintela, C., Jervis, M. J., Melo, D., Pacheco, A., Paixao, V., Pedro, V., Pimenta, J., Pimenta de Castro, J., Rocha, A., Beuran, M., Ciubotaru, C., Diaconescu, B., Hostiuc, S., Negoi, I., Stoica, B., Na, N. A., Anokhin, E., Kuznetsov, G., Oganezov, G., Paramzin, F., Romanova, E., Rutkovskii, V., Shushval, M., Zabiyaka, M., Dzhumabaev, K., Ivanov, V., Mamedli, Z., Achkasov, S., Balkarov, A., Nabiev, E., Nagudov, M., Rybakov, E., Saifutdinova, K., Sushkov, O., Joseph, L., Ndayishimiye, I., Faustin, N., Mutabazi, A. Z., Mvukiyehe, J. P., Nsengimana, V. J. P., Uwakunda, C., Abbas, M. M., Akeel, N., Aljiffry, M., Awaji, K., Farsi, A., Jamjoum, G., Khoja, A., Maghrabi, A., Malibary, N., Nassif, M., Saleem, A., Sultan, A., Tashkandi, W., Tashkandi, H., Trabulsi, N., Ba, M. B., Diallo, A. C., Ndong, A., Cuk, V., Jankovic, U., Koh, S. Z., Koh, F., Lee, K. C., Lee, K. Y., Lee, S., Leong, W. Q., Lui, S. A., Prakash, P., Grosek, J., Norcic, G., Tomazic, A., Fitchat, N., Jaich, R., Wineberg, D., Koto, M. Z., Baiocchi, D., Clarke, D., Steenkamp, C. J., Bannister, S., Boutall, A., Chinnery, G., Coccia, A., Dell, A., Karjiker, P., Kloppers, C., Loxton, N., Mabogoane, T., Malherbe, F., Panieri, E., Rayamajhi, S., van Wyngaard, T., Warden, C., Madiba, T. E., Pillay, N., Brooks, S., Kruger, C., Van Der Merwe, L. H., Gool, F., Kariem, M., Bougard, H., Kariem, N., Noor, F., Pillay, R., Steynfaardt, L., Gonzalez Gonzalez, L., Marin Santos, J. M., Martin-Borregon, P., Martinez Caballero, J., Nevado Garcia, C., Rodriguez Fraga, P., De Castro Parga, G., Fernandez Veiga, M. P., Garrido Lopez, L., Infante Pino, H., Lages Cal, I., Lopez Otero, M., Nogueira Sixto, M., Paniagua Garcia Senorans, M., Rodriguez Fernandez, L., Ruano Poblador, A., Rufo Crespo, E., Sanchez-Santos, R., Vigorita, V., Alonso Batanero, E., Asnel, D., Cifrian Canales, I., Contreras Saiz, E., De Santiago Alvarez, I., Diaz Vico, T., Fernandez Arias, S., Fernandez Martinez, D., Garcia Bernardo, C., Garcia Florez, L. J., Garcia Gutierrez, C., Garcia Munar, M., Marquez Zorrilla Molina, C. A., Merayo, M., Michi Campos, J. L., Moreno Gijon, M., Otero-Diez, J. L., Rodicio Miravalles, J. L., Solar-Garcia, L., Suarez Sanchez, A., Truan, N., Alejandre Villalobos, C., Caballero Diaz, Y., Jimenez, M., Montesdeoca, D., Navarro-Sanchez, A., Vega, V., Beltran de Heredia, J., Gomez, Z., Jezieniecki, C., Legido Moran, A. P., Montes-Manrique, M., Rodriguez-Lopez, M., Ruiz Soriano, M., Trujillo Diaz, J., Vazquez Fernandez, A., Argudo, N., Pera, M., Torrent Jansa, L., Garcia Dominguez, M., Goded, I., Roldon Golet, M., Talal El-Abur, I., Utrilla Fornals, A., Zambrana Campos, V., Aguilar Martinez, M. D. M., Bosch, M., Garcia-Catala, L., Sanchez-Guillen, L., Artigau, E., Gomez Romeu, N., Julia Bergkvist, D., Espina Perez, B., Morato, O., Olona, C., Dieguez, B., Forero-Torres, A., Losada, M., Gomez-Abril, S., Gonzalvez, P., Martinez, R., Navarro Martinez, S., Paya-Llorente, C., Perez Rubio, A., Santarrufina Martinez, S., Sebastian Tomas, J. C., Trullenque Juan, R., Gegundez Simon, A., Mate, P., Prieto-Nieto, M. I., Rubio-Perez, I., Urbieta, A., Vicario Bravo, M., Abello, D., Frasson, M., Garcia-Granero, A., Abad Gurumeta, A., Abad-Motos, A., Lucena-de Pablo, E., Nozal, B., Ripolles-Melchor, J., Salvachua, R., Ferrero, E., Garcia-Sancho Tellez, L., Picardo, A. L., Rojo Lopez, J. A., Zorrilla Matilla, L. P., Cagigas Fernandez, C., Castanedo Bezanilla, S., Estevez Tesouro, J., Fernandez-Diaz, M. J., Garcia Cardo, J., Gomez Ruiz, M., Gonzalez-Tolaretxipi, E., Jimeno Fraile, J., Poch, C., Rodriguez-Aguirre, M., Troche Pesqueira, N., Trugeda-Carrera, M. S., de la Torre, J., Blanco-Colino, R., Espin-Basany, E., Espinosa-Bravo, M., Morales Comas, C., Reyes Afonso, E., Rivero Deniz, J., Siso Raber, C., Verdaguer Tremolosa, M., Chandrasinghe, P., Kumarage, S., Wijekoon Arachchilage, N., Abdalla Ahmed Elkamel, A., A. Adam, M., Blomme, N., Thorell, A., Wogensen, F., Alga, A., Ansarei, D., Celebioglu, F., Heinius, G., Nigard, L., Pieniowski, E., Ahlqvist, S., Bjorklund, I., Franberg, A., Hakansson, M., Adamo, K., Franklin, O., Sund, M., Wiberg, R., Andersson, Y., Chabok, A., Nikberg, M., Kugelberg, A., Canonica, C., Christoforidis, D., Fasolini, F., Gaffuri, P., Giuliani, M., Meani, F., Popeskou, S. G., Pozza, S., Wandschneider, W., Peterer, L., Widmer, L. W., Zimmermann, B., Bakoleas, P., Chanousi, I., Charalampidou, L., Grochola, L. F., Heid, F., Ntaoulas, S., Outos, M., Peros, G., Podolska-Skoczek, H., Reinisch, K. B., Zielasek, C., Demartines, N., Gilgien, J., Kefleyesus, A., St-Amour, P., Toussaint, A., Alhimyar, M., Alsaid, B., Alyafi, A., Alkhaledi, A., Kouz, B., Omarain, A., Al-Sabbagh, Y., Alkhatib, H., Sara, S., Alhaj, A., Danial, A., Kadoura, L., Maa Albared, S., Monawar, Y., Nahas, L., Abd, B., Saad, A., Wakkaf, H., Bouzaiene, H., Ghalleb, M., Akaydin, E., Akbaba, A. C., Atakul, O., Baltaci, E., Besli, S., Burgu, G., Cenal, U., de Muijnck, C., Demirkaya, H. C., Dogruoz, A., Gezer, Z. I., Gundogdu, Y., Kara, M., Korkmaz, H. K., Kurtoglu, G. K., Ozben, V., Ozmen, B. B., Pektas, A. M., Sel, E. K., Yenidunya, N., Bengur, F. B., Oral, B. M., Yozgatli, T. K., Abdullayev, S., Gunes, M. E., Sahbaz, N. A., Banaz, T., Kargici, K., Kuyumcu, O. F., Yanikoglu, E., Yesilsancak, M., Yilmaz, D., Aktas, M. K., Rencuzogullari, A., Isik, A., Leventoglu, S., Yalcinkaya, A., Yuksel, O., Kalayci, M. U., Kara, Y., Sarici, I. S., Akin, A., Alemdag, G. N., Arslan, E., Baki, B. E., Bodur, M. S., Calik, A., Candas Altinbas, B., Cihanyurdu, I., Erkul, O., Gul, B., Guner, A., Kose, B., Semiz, A., Sevim, S., Tayar, S., Tomas, K., Tufek, O. Y., Turkyilmaz, S., Ulusahin, M., Usta, A., Yildirim, R., Guler, S. A., Tatar, O. C., Varol, E., Kirimtay, B., Uysal, M., Yildiz, A., Kose, E., Ciftci, A. B., Colak, E., Eraslan, H., Kucuk, G. O., Yemez, K., Lule, H., Bienfait, M., Bua, E., Okalany, N., Basarab, M., Bielosludtsev, O., Kolhanova, K., Perepelytsia, K., Romanukha, K., Savenkov, D., Siryi, S., Tereshchenko, M., Viacheslav, N., Volovetskyi, A., Kebkalo, A., Tryliskyy, Y., Tyselskiy, V., Bruce, E., Chow, B. L., Iddles, E., Mcguckin, S., Newall, N., Ramsay, G., Sharma, P., Stewart, C., Wong, J., Badran, A., Bath, M., Belais, F., Butt, E., Joshi, K., Kapur, M., Shaw, M., Townson, A., Williams, C. Y. K., Gray, T., Greig, R., Husain, M., Murray, E., Mustafa, A., Asif, A., Gokul, A., Shah, M., Akitikori, M. T., Charalabopoulos, A., Davidson, S., Mcnally, S., Rupani, S., Juma, F., Mills, S. C., Muirhead, L., Sellars, K., Walsh, U., Warren, O., Chambers, A., Hunt, R., Boyce, S., Cornwall, H., Tol, I., Argyriou, E. O., Eardley, N., Povey, M., Aithie, J. M. S., Irfan, A., Mcguigan, M. -C., Starr, R., Warren, C. R., Archibald, J., Kirby, G., Kisyov, I., Khoo, C. K., Lee, R., Photiou, D., Davis, R., Prasad, U., Yang, P. Z., Bird, J., Leung, E., Summerour, V., Currow, C., Kiam, J., Tan, G. J. S., Muthusami, A., Pegba-Otemolu, I., Urbonas, T., Nunoo-Mensah, J., Smolskas, E., Boddy, A., Gravante, G., Hunter, D., Andrew, D., Koh, A., Thompson, A., Adams, L., Clements, H. A., De Silva, K., Ekpete, O., Haque, S., Henderson, S., Ibrahim, B., Jayasinghe, T., Livie, J., Mailley, K., Nair, G., Tan, D., Baggaley, C., Dawidziuk, A., Szyszka, B., Barter, C., Gandhi, N., Hassell, K., Hitchin, S., Kelsall, J., Nagy, E., Nessa, A., Whisker, L., Yanni, F., Ali, M., Arora, D., Hediwattege, S., Kumarasinghe, N., Rathore, M., Tennakoon, A., Ali Ahmad, S. M., Bajomo, O., Nadira, F., Celentano, V., Griffiths, E., Karri, R. S., Mak, J. K. C., Pipe, M., Bhatti, M. I., Rabie, M., Boyle, C., Hamilton, D., Mihuna, A., Ng, J. C. K., Nicholson, G., Oliwa, A., Pearson, R., Rose, A., Yong, S. Q., Boereboom, C., Hanna, M., Walter, C., Greensmith, T. S., Mitchell, R., Monaghan, E., Crawford, J., Moug, S., Blackwell, J., Boyd-Carson, H., Herrod, P., Al-Allaf, O., Beattie, M., Bullock, C., Burman, S., Clark, G., Flamey, N., Flannery, O., Harding, A., Kodiatt, B., Lawday, S., Mahapatra, S., Mukundu Nagesh, N., Ng, M., Rye, D., Yoong, A., Clark, L., Deans, C., Edirisooriya, M., Carrington, E. V., Wong, T. L. E., Yusuf, B., Chamberlain, C., Duke, K., Kmiotek, E., Botes, A., Condie, N., Schrire, T., Shah, R., Thomas-Jones, I., Yates, C., Anthony, N., Matthews, E., Sahnan, K., Tankel, J., Tucker, S., Winter Beatty, J., Ziprin, P., Duggan, W., Kantartzi, A., Sridhar, S., Khaw, R. A., Srivastava, P., Underwood, C., Alves do Canto Brum, H., Chopra, S., Davis, L., Hughes, R., Tulley, J., Alberts, J., Athisayaraj, T., Olugbemi, M., Ahmad, K., Chan, C., Chapman, G., Fleming, H., Fox, B., Grewar, J., Hulse, K., Rutherford, D., Sinead, M., Speake, D., Vaughan-Shaw, P. G., Christodoulides, N., Kudhail, S., Welch, M., Husaini, S. M., Lambracos, S., Anyanwu, C., Suresh, R., Thomas, J. S., Gleeson, E., Platoff, R., Saif, A., Enumah, Z., Etchill, E., Gabre-Kidan, A., Bernstein, M., Carrano, F. M., Connors, J., Lynn, P., Melis, M., Newman, E., Foster, D. S., Perrone, K., Titan, A., Ahmad, S., Bafford, A. C. M. D., Dal Molin, M., Hanna, N., Zafar, S. N., Hemmila, M., Napolitano, L., Wong, J. J., Chandler, J., Wood, L., Wren, S., Ottesen, T., You, L., Yu, K., Arcienega Yanez, M. D. P., Ferreira Fernandes, M., Gonzalez, D., Cubas, S., Gonzalez, M. C., Zubiaurre, V., Demolin, R., Giroff, N., Sciuto, P., Campos, M., Rodriguez Cantera, G., Deepika, G., Simuchimba, E., Bulaya, A., Chibuye, C., Chirengendure, B., Kabale, M. -R., Kabongo, K., Munthali, J., Mweso, O., Pikiti, F., Otieno, J., Lai, L. T., Blackman, B., Subramaniam, S., Karim, R., Kok, N., Lee, Y. D., Ali, S., Sinha, A., Corrigan, R., Barnes, N., Wong, F., Dennis, G., Jedamzik, J., Phillips, E., Piette, W., Van hentenryck, M., Koco, H., Lawani, S., Kassa, M. W., Santos Bezerra, T., Gribnev, P., Dimitrov, D., Krastev, P., Oum, S., Bonghaseh, D. T., Al Farsi, M., Alsharqawi, N., Acevedo, V., Castillo Barbosa, A. C., Giron, F., Leon Rodriguez, J. P., Kucan, D., Rosko, D., Barsic, N., Zupan, D., Hegazi, A., Truncikova, V., Fryba, V., Mohamed, M., Nagi, A., Rashad Temerik, A., Elshawy, M. E., Mahmoud, M. I., Anwar, M., Rageh, T., Elmokadem, A., Gaballa, K., Teppo, S., Pengerma, P., Ballouhey, Q., Bergeat, D., Weyl, A., Hain, E., Gyedu, A., Yenli, E., Osei-Poku, D., Rompou, V. -A., Zoikas, A., Gaitanidis, A., Koukis, G., Perivoliotis, K., Tavlas, P., Galanos-Demiris, K., Zografos, G., Karavokyros, I., Xanthopoulou, G., Iordanidou, E., Ayau, F., Garcia, A., Damjan, P., Wason, D., B L, A., Rangganata, E., Kamath, P., O'Connor, D. B., Pinto, M., Perrone, F., Tropeano, F. P., Troilo, F., Bossi, D., Scala, D., Pulitano, L., Carella, M., Pietrabissa, A., Gori, A., Giraudo, G., De Simone, V., Russo, A. A., Braccio, B., Al-Taher, R., Athamneh, S., Parker, A., Sawiee, A., Kattia, A., Tababa, O., Shaeeb, Z., Syminas, V., Jurgaitis, J., Damuleviciene, G., Svagzdys, S., Razafimanjato, N. N. M., Chieng Loo, L., Tiong, I. C., Wan Muhmad, W. F., Vijeyan, H., Li Ying, T., Grech, G., Arrangoiz, R., Jimenez Ley, V. B., Arizpe, D., Lagunes Lara, E., Castro Lopez, E. V., Eaazim, J., Gordinou de Gouberville, M., Bastiaenen, V., Rottier, S., Nahab, F., Ji, M. Y., Seyoji, M., Nwachukwu, C., Emeghara, O., Muhammed, S. E., Idowu, A., Sowemimo, O., Ogundoyin, O., Akande, O., Lott, A., Nadeem, M., Laghari, A. A., Loya, A., Mushtaq, H., Abdullah, M. T., Abuhilal, B., Atawneh, M., Hamdan, H., Alhabil, B., Srour, A., Mousa, I., Da Silva Medina, L., Bartosiak, K., Ferreira, P., Francisco, V., Lemos, R., Frutuoso, L., Fernandes, S., Fonseca, T., Pereira, J., Rachadell, J., Torre, A., Madeira Martins, F., Carvalho, A. C., Rodrigues Ferreira, J., Ribeiro da Silva, B., Devesa, H., Vieira, A., Monica, I., Amaro, M., Sousa, D., Reia, M., Louro, J., Martins, A., Dominguez, J., Santos, I., Freitas Oliveira, N. M., Pereira, J. C., Silva-Vaz, P., Freire, L., Escrevente, R., Negoita, V. M., Shakhmatov, D., Nezerwa, Y., Radulovic, R., Obery, G., Viljoen, F., Mendes, T., Suarez, A., Moncada, E., Fernandez-Hevia, M., Curtis Martinez, C., Gil Garcia, J. M., Gonzalez Zunzarren, M., Idris, T., Eklov, K., Grahn, O., Amin, L., Blomqvist, M., Ajani, C., Kraus, R., Seeger, N., Willemin, M., Rayya, F., Ayash, M., Msouti, R., Kannas, I., Abazid, E., Esper, A., Slim, S., Kavcar, A. S., Aytac, E., Dural, A. C., Ilker, A., Eray, I. C., Kurnaz, E., Altiner, S., Tepe, M. D., Sahin, C., Savli, E., Innocent, A., Babirye, L., Diachenko, A., Hordoskiy, V., Curry, H., Chau, C. Y. C., Robertson, H., Lennon, H., Loi, L., Kirkham, E., Mccann, C., Watts, D., Gurung, B., Wilson, M., Tribedi, T., Garofalo, E., Zahra, B., Macdonald, S., Daniels, I., Ng, N., Khosla, S., Olivier, J., Yue, S. Y. P., Suresh, G., Wellington, J., Lorejo, E., Mossaad, M., Crutcher, M., Alimi, M., Baiu, I., Abdou, H., Conway, A., Peck, C., Perdomo Perez, M. A., Zulu, S., Nakazwe, M., Department of Surgery, HUS Abdominal Center, Knight, Stephen R, Shaw, Catherine A, Pius, Riinu, Drake, Thomas M, Norman, Lisa, Ademuyiwa, Adesoji O, Adisa, Adewale O, Aguilera, Maria Lorena, Al-Saqqa, Sara W, Al-Slaibi, Ibrahim, Bhangu, Aneel, Biccard, Bruce M, Brocklehurst, Peter, Costas-Chavarri, Ainhoa, Chu, Kathryn, Dare, Anna, Elhadi, Muhammed, Fairfield, Cameron J, Fitzgerald, J Edward, Ghosh, Dhruv, Glasbey, James, van Berge Henegouwen, Mark I, Ingabire, J C Allen, Kingham, T Peter, Lapitan, Marie Carmela, Lawani, Ismaïl, Lieske, Bettina, Lilford, Richard, Martin, Janet, McLean, Kenneth A, Moore, Rachel, Morton, Dion, Nepogodiev, Dmitri, Ntirenganya, Faustin, Pata, Francesco, Pinkney, Thomas, Qureshi, Ahmad Uzair, Ramos-De la Medina, Antonio, Riad, Aya, Salem, Hosni Khairy, Simões, Joana, Spence, Richard, Smart, Neil, Tabiri, Stephen, Thomas, Hannah, Weiser, Thomas G, West, Malcolm, Whitaker, John, Harrison, Ewen M, Gjata, Arben, Modolo, Maria Marta, King, Sebastian, Chan, Erick, Nahar, Sayeda Nazmun, Waterman, Ade, Vervoort, Dominique, Bedada, Alemayehu Ginbo, De Azevedo, Bernardo, Figueiredo, Ana Gabriela, Sokolov, Manol, Barendegere, Venerand, Ekwen, Gerald, Agarwal, Arnav, Liu, Qinyang, Camilo Correa, Juan, Malemo, Kalisya Luc, Bake, Jacques, Mihanovic, Jakov, Kuncarová, Kamila, Orhalmi, Julius, Salem, Hosni, Teras, Jyri, Kechagias, Aristotelis, Arnaud, Alexis P, Lindert, Judith, Kalles, Vasileios, Aguilera-Arevalo, Maria-Lorena, Recinos, Gustavo, Baranyai, Zsolt, Kumar, Basant, Neelamraju Lakshmi, Harish, Zachariah, Sanoop Koshy, Alexander, Philip, Kumar Venkatappa, Sunil, Pramesh, C, Amandito, Radhian, Fleming, Christina, Ansaloni, Luca, Pellino, Gianluca, Altibi, Ahmed M, Nour, Ibrahim, Hamdun, Intisar, Ghellai, Ali M, Venskutonis, Donatas, Poškus, Tomas, Žilinskas, Justas, Malemia, Precious, Tew, Yong Yong, Borg, Elaine, Ellul, Sarah, Wafqui, Fatima Zahraa, Borowski, David W, van Dalen, Anne Sophie, Wells, Cameron, Adamou, Harissou, Ademuyiwa, Adesoji, Adisa, Adewale, Søreide, Kjetil, Al Saqqa, Sara, Alser, Osaid, Tahboub, Haya, Segovia Lohse, Helmut Alfredo, Shu Yip, Sebastian, Major, Piotr, Sampaio Soares, António, Bratu, Matei Razvan, Litvin, Andrey, Vardanyan, Armen, Allen Ingabire, J C, Gudal, Ahmad, Albati, Naif, Juloski, Jovan, Rems, Miran, Rayne, Sarah, Van Straten, Stephanie, Moodley, Yoshan, Ortega Vázquez, Irene, Ruiz-Tovar, Jaime, Senanayake, Kithsiri Janakantha, Thalgaspitiya, Sujeewa Priyantha Bandara, Omer, Omer Abdelbagi, Homeida, Anmar, Cengiz, Yucel, Clerc, Daniel, Alshaar, Muhammad, Bouaziz, Hanen, Altinel, Yuksel, Doe, Matthew, Freigofer, Maryna, Teasdale, Ella, Kabariti, Rakan, Clements, Joshua Michael, Knight, Stephen Richard, Ashfaq, Ahsan, Azodo, Ijeoma, Wagner, Gabriela, Trostchansky, Ivan, Maimbo, Mayaba, Linyama, David, Nina, Helidon, Zeko, Amanda, Fermani, Claudio Gabriel, Villalobos, Santiago, Carballo, Federico, Farina, Pablo, Guckenheimer, Sebastian, Dickfos, Marilla, Ajmera, Ankit, Chong, Chester, Gourlay, Ralph, Hussaini, Sikandar, Lee, Yi Jia, Majid, Adeeb, Martin, Peter, Miles, Rebecca, Morris, Owen James, Phua, Jamie, Ridley, William, Saluja, Tarunpreet, Tan, Ryan Renxin, Teh, Jen, Wells, Anna, Arora, Bharti, Dollie, Qaasim, Ho, Debbie, Ma, Yanru, Perera, Omattage Mahasha, Truong, Anthony, Dawson, Amanda Caroline, Lim, Bryan, Pahalawatta, Upuli, Phan, Jacqueline, Woon-Shoo-Tong, Xiao-Ming Sarah, Yeoh, Andrea, Charman, Lillian, Drane, Andrew, Laura, Sharon, Lo, Charmaine Chu Wen, Mozes, Amy, Poon, Rita, Tan, Hao Han, Wall, Ellen, Chopra, Prakshi, De Giovanni, Jasmine, Dhital, Bal, Draganic, Brian, Duller, Alexander, Gani, Jonathan, Goh, Yao Kuan, Jeong, Jun Young, McManus, Brendan, Nagappan, Prakash, Pockney, Peter, Rugendyke, Anya, Sarrami, Mahsa, Smith, Stephen, Wills, Vanessa, Wong, Hsu Ven, Ye, Geoffrey, Zhang, Geoffrey, Brooker, Ethan, Feng, Daniel, Lau, Bonnie, Ngai, Carlin, Birks, Sarah, Gyorki, David, Otero de Pablos, Jaime, Abbosh, Ali, Gillespie, Chris, Mahmoud, Ahmed, Kwan, Bianca, Lawson, Joshua, Warwick, Andrea, Bingham, Janne, Cockbain, Andrew J, Dudi-Venkata, Nagendra Naidu, Ellaby-Hall, Jordan, Finlay, Ben, Humphries, Emily, Pisaniello, Jade, Pisaniello, Monique, Salih, Salma, Sammour, Tarik, Abd Wahab, Haidar Hadri, De Silva, April, Hayward, Nicola, Iyer, Kartik, Maddern, Guy, Prevost, Gian Andrea, Annapureddy, Naga, Settipalli, Krishna Pranathi, Yeo, Jeremy, Hempenstall, Lucy, Pham, Lily, Purcell, Shaun, Talavera, Cherry, Vaska, Ashish I, Chaggar, Gurpreet, Chrapko, Phillip, Cocco, Annelise, Coulter-Nile, Sarah Michelle Crystal Jade, Ctercteko, Grahame, French, James, Gong, Houchen, Gosselink, Martijn, Jegathees, Thuvarahan, Jin, Ivan, Kalachov, Michelle, Kiefhaber, Kathryn, Lee, Katherine, Luong, Jason, Phan, Steven, Pleass, Henry, Veale, Kelly, Zeng, Zhi, Au, Angela, DeBiasio, Ashe, Deng, Idy, Myooran, Jananee, Nair, Amrita, Stewart, Peter, Stift, Anton, Unger, Lukas Walter, Wimmer, Kerstin, Ahmed, Nabila, Hasan, Syed, Rahman, Saber, O'Shea, Margaret, Padmore, Greg, Peters, Adrian, Perduca, Pietro, Pulcina, Guenda, Tinton, Nicolas, Buxant, Frederic, Dabin, Elsa, Garofalo, Giulia, Dossou, Francis, Gnangnon, Freddy Houehanou Rodrigue, Imorou Souaibou, Yacoubou, Motlaleselelo, Pako, Tlhomelang, Omphile, Lima Buarque, Igor, Mendonça Ataíde Gomes, Gustavo, Vieira Barros, Aldo, Batashki, Ilia, Damianov, Nikolai, Stoyanov, Vladislav, Dardanov, Dragomir, Maslyankov, Svilen, Petkov, Plamen, Todorov, George, Zhivkov, Evgeni, Akisheva, Aygulya, Castilla Moreno, Miguel Angel, Genov, Geno, Ilieva, Ivelina, Ivanov, Tsvetomir, Karamanliev, Martin, Khan, Azhar, Mitkov, Emil, Yotsov, Tsanko, Atanasov, Boyko, Belev, Nikolay, Slavchev, Mihail, Nsengiyumva, Carlos, Jones, Elgan, Stock, Simon, Kyota, Steve, Brown, James, Mabanza K, Tresor, Nigo Samuel, Lemery, Otuneme, Chidi, Prosper, Ngwang, Umenze, Franklin, Boutros, Marylise, Caminsky, Natasha, Dumitra, Sinziana, Garfinkle, Richard, Morency, Dominique, Salama, Ebram, Banks, Alexander, Ferri, Lorenzo, He, Haitian, Katz, Amit, Liberman, Alexander Sender, Meterissian, Sarkis, Pang, Allison, Parvez, Elena, Hameed, Usmaan, Osman, Fahima, Sequeira, Sangita, Coburn, Natalie, Jaffer, Alisha, Karanicolas, Paul, Mosseler, Matthew, Musselman, Reilly, Liu, Xinyuan, Yip, Ching Wan, Garces-Otero, Juan Sebastian, Guzman, Carolina, Sierra, Sebastian, Uribe Valencia, Andres, Cabrera Rivera, Paulo Andrés, Camelo, Saul, Gonzalez, Andrea, González-Orozco, Alejandro, Mosquera Paz, Manuel Santiago, Perez Rivera, Carlos J, Gonzalez, Felipe, Isaza-Restrepo, Andres, Nino-Torres, Laura, Arias Madrid, Natalia, Mendoza Arango, Maria Clara, Tsandiraki, Justin, Jemendžic, Damir, Kocman, Branislav, Šuman, Oliver, Canic, Renata, Jurišic, Darko, Karakas, Ivana, Krizanovic Rupcic, Ana, Pitlovic, Vlatka, Samardžic, Josip, Kopljar, Mario, Bacic, Ivan, Domini, Edgar, Karlo, Robert, Miljanic, Danijela, Simic, Andrea, Ahmed, Mariam, Al Nassrallah, Majdi, Altaf, Rabiya, Amjad, Talal, Eltoum, Ruba, Haidar, Heba, Hassan, Alhassan, Khalil, Omar, Qasem, Marwan, Ramesh, Rommel, Sajith, Gautham, Wisal, Maham, Žatecký, Jan, Bujda, Michele, Jirankova, Katerina, Paclik, Ales, Abdallah, Aya, Abdulgawad Almogy, Mariam, Ayman El-Sawy, Esraa, ElFayoumy, Ahmed Moustafa, Elghareeb, Nourhan, Esmat, Nourhan Ahmed, Fadel, Ahmed, Habater, Abdullah, Hamdy, Heba, Hefni, Amr, Kamal, Marwa, Mohamed Abobakr, Norhan, Sayed, Ahmed, Shaker, Nancy, Taha, Ehab, Tharwat, Hoda, Zakaria, Omar, Abdelmotaleb, Ibrahem, Al-Dhufri, Ali, Al-Himyari, Hamza S, El Sheikh, Enas, Eldmaty, Asmaa, Elkhalawy, Aya, M Elkhashen, Ahmed, Magdy, Kithara, Mostafa, Safa, Sadia, Habib Doutoum, Saleh, Mohamed Mahmoud, Samir, Dina, Yahia Mohamed Ali, Mohamed, A Nassar, Mahmoud, Abdelhady, Samar, Abdelrazek, Aly, Abdelsalam, Israa, El-Sawy, Aya, Essam, Eman, Gadelkarim, Mohamed, Ghaly, Khaled, Hassabalnaby, Mohamed, Masarani, Rana, Mohamed Shaaban, Nourhan, Sabry, Ahmed, Salem, Menatalla, Soliman, Nourhan Akram, Zahran, Diaaaldin, Abou El Soud, Moustafa Ramadan, Badr, Esraa Tarek, Borham, Hala, Elmeslemany, Nehal, Elsayed, Mohammad, Elsherif, Fawzia, Eslam, Sara, Gaber, Gehad, Ibrahim, Sondos, Kamh, Yara, Mahmoud, Abdelrahman, Mohamed, Shimaa Gamal, Morshedy, Eman, Omar, Cinderella, Salem Soliman, Fatima, Abdelkawy, Shaza, Abdelmohsen, Naglaa, Abdelshakour, Mahmoud, Dahy, Ahmed, Gamal, Norhan, Gamal, Mohammed, Hasan, Ahmad, Hetta, Helal, Mousa, Nehad, Omar, Mohamed, Rabie, Somia, Saad, Mahmoud, Saleh, Bakeer, Sayed Mohamed, Marwa, Shawqi, Muhammad, Abdelhady Mousa, Heba, Alnoury, Mostafa, Elbealawy, Mohamed, Elshafey, Ahmed, Essam Ibrahim El Desouki Muhammad Ahmed, Muhammad, Ghonaim, Mennatullah, Hgag, Fawzy, Ibrahim, Mohamed, Morsy, Mahmoud, Reda Loaloa, Mohamed, Refaat, Ahmed, Samir, Hadeer, Shahien, Fatma, Sobhy, Mohamed, Sroor, Fathy, Abdellatif, Esraa, Adel, Marina, Afifi, Amr Abdelghani, Afifi, Eman, Antaky, Marco, Dawoud, Amr, El Zoghby, Naira, El-Remaily, Amira, Elzanfaly, Ali Abdelazez, Gadallah, Ahmed, Gamal, Fatma Alzahraa, Hashem, Omar, Medhat Youssef, Shrouk, Muhammad Attyah, Aliaa, Munir, Malak, Shazly, Omar, Taha, Esraa, Wilson, Karim, Adel, Sawsan, Ali, Asmaa, Eid, Esraa, Elhelow, Esraa, Elmahdy, Marwa, Elshatby, Bassant, Hossam El-Din Zakaria, Amany, Hossny, Ahmad, Ibrahim, Eman, M Yonis, Ahmed, Metwalli, Maram, Yousry, Basant, Zid, Esraa, A Yacoub, Mina, Abdelhakim, Ahmed, Abouelsoad, Nervana, Alkhatib, Mo'min, Ashraf, Ahmed, Ashraf, Alaa, Elazab, Yasmin, Elfanty, Mahmoud, Elkabir, Osama, Elsayed, Mai, Elshimy, Ahmed, Elsobky, Hager, Eskander, John, Gad, Ahmed, Hamsho, Ward, Khaled Abdelwahed, Noura, Magdy, Menna, Moharam, Dalia, Osama, Abeer, Ramadan, Shereen, Roum, Radwa, Sayed, Taqwa, Shehada, Tarneem, Zidan, Ahmed Mohy, Abbas, Khalid, Ali, Amr, Attia, Mohamed, Balata, Mohamed, El Nakeeb, Ayman, Elewaily, Mohamed Ibrahim Elsayed, Elfallal, Ahmed, Elfeki, Hossam, Elkhadragy, Ahmed, Emile, Sameh, Ezzat, Helmy, Hosni, Hasnaa, Mansour, Islam, Omar, Waleed, Othman, Gehad, Sadek, Kareem, Shalaby, Mostafa, Shehab-Eldeen, Noura, Anas Khalifa, Rawda, Badr, Helmy, Eldeep, Mostafa, Eldeep, Ahmed, Eldoseuky Mohammed, Amany, Khallaf, Salwa, Magdy Hegazy, Eman, Mahmoud, Rokia, Mikhail, Pola, Morsi, Mahmoud, Mowafy, Sara, Raafat, Dina, Safy, Amina, Sera, Marwa, Sera, Ahmed Shible, AbdAllah, Mostafa Salim Mohamed, Abdelkader, Muhammad, Abdou, Abdulrahman Osama, Ahmed, Ahmedgaber, Gaafar, Shireen, Ibrahim Negm, Fatma, Lapic, Mina, Maher, Ahmed, Mahmoud, Hagar, Mostafa, Ahmed, Samir, Mohamed, Samy, Fatma, Semeda, Nourhan, Shalaby, Hind I, El-Taweel, Alaa, Galal Elnagar, Ahmed, Hemidan, Ahmed Gamal, Hussein, Mohamed, Kandil, Ahmed A, Moawad, Mf, Nasser Hamamah, Ayat Allah, Soliman, Mostafa, Abdelkhalek, Mohamed, Abdelmaksoud Tawakel, Noura, Abdelwahed, Ahmed Mohamed, Abdou, Alrawy, Atallah, Khalid, Elsherbeny, Mohammed Yasser, Emara, Eman, Hamdy, Mohamed, Hamdy, Omar, Haron, Amira, Ismail, Salma, Metwally, Islam Hany, Mohamed Hamed Elgaml, Nihal, Nassar, Ahmed, Refky, Basel, Sadek, Mirna, Saleh, Mahmoud, Yunes, Asmaa, Zakaria, Mai, Zuhdy, Mohammed, Fayed, Notila, Mohammed, Mohammed Mustafa Hassan, Kütner, Sander, Melnik, Priit, Seire, Indrek, Ümarik, Toomas, Ainoa, Eppu, Eerola, Verner, Koppatz, Hanna, Koskenvuo, Laura, Sallinen, Ville, Takala, Sini, Katunin, Jevgeni, Turunen, Arto, Christou, Niki, Mathonnet, Muriel, Lavoue, Vincent, Nyangoh Timoh, Krystel, Soulabaille, Lucie, Lesourd, Romain, Merdrignac, Aude, Sulpice, Laurent, André, Benoît, Chantalat, Elodie, Vaysse, Charlotte, Dousset, Bertrand, Gaujoux, Sebastien, Martin, Gregory, Clonda, Octavian, Juodis, Domantas, Kienle, Klaus, Mravik, Andras, Palmer, Samuel, Szabadhegyi, Gabor, Agbeko, Anita Eseenam, Gyabaah, Solomon, Gyamfi, Frank Enoch, Naabo, Nuhu, Owusu Senior, Atta, Yorke, Joseph, Owusu, Frank, Abantanga, Francis, Anyomih, Theophilus Teddy Kojo, Muntaka, Abdul-Jalilu Mohammed, Owusu Abem, Emmanuel, Sheriff, Mohammed, Wondoh, Paul M, Balalis, Dimitrios, Korkolis, Dimitrios, Gkiokas, Georgios, Pantiora, Eirini, Theodosopoulos, Theodosios, Ioannidis, Argyrios, Konstantinidis, Konstantinos, Konstantinidou, Sofia, Machairas, Nikolaos, Paspala, Anna, Prodromidou, Anastasia, Chouliaras, Christos, Papadopoulos, Konstantinos, Baloyiannis, Ioannis, Mamaloudis, Ioannis, Tzovaras, George, Akrida, Ioanna, Argentou, Maria-Ioanna, Germanos, Stylianos, Iliopoulos, Evangelos, Maroulis, Ioannis, Skroubis, George, Theofanis, George, Chatzakis, Christos, Ioannidis, Orestis, Loutzidou, Lydia, Karathanasis, Panagiotis, Michalopoulos, Nikolaos, Theodoropoulos, Charalampos, Theodorou, Dimitrios, Triantafyllou, Tania, Garoufalia, Zoe, Hasemaki, Natasha, Kontos, Michalis, Kouraklis, Gregory, Kykalos, Stylianos, Liakakos, Theodore, Mpaili, Eustratia, Papalampros, Alexandros, Schizas, Dimitrios, Syllaios, Athanasios, Tampaki, Ekaterini Christina, Tsimpoukelis, Antonios, Antonopoulou, Maria Ioanna, Deskou, Eirini, Manatakis, Dimitrios K, Papageorgiou, Dimitrios, Zoulamoglou, Menelaos, Anthoulakis, Christos, Margaritis, Michalis, Nikoloudis, Nikolaos, Campo, Veronica, Ceballos, André, Flores, Mario-Andrés, Giron, Waleska, Ko, Donghyun, Martinez, Gabriel, Rivera Lara, Verónica, Rueda, Nataly, Sanchez, Andres, Tejeda Garrido, Jorge Carlos Guillermo, Alvarez Rivera, Alvaro Eduardo, Bamaca Ixcajoc, Elvis Benjamin, Barreda Zelaya, Lilian Elizabeth, Chacòn-Herrera, Patricia, Corea Ruiz, Ligia Margarita, Echeverria-Davila, Guillermo, Garcia, Mario, García, Danilo, Gutiérrez Mayen, Edgar Fernando, José, Noriega, Mazariegos, Nery, Méndez, Diego, Paniagua Espinoza, Michael, Bardos, David, Benke, Marton, Illes, Kristof, Kokas, Balint András, Szabó, Réka, Appukuttan, Akhila, Asok, Anjitha, D K, Vijaykumar, Malik, Kapil, Ravishankaran, Praveen, Tapkire, Ritesh, Moorthy, Guru, Abraham, Joyner, Muthuvel, Ramesh, Alapatt, John, Kattepur, Abhay, Pareekutty, Nizamudheen, Garod, Mebanshanbor, Harris, Caleb, Wanniang, Cliff, Gupta, Ashish, Nehra, Deepak, Parshad, Sanjeev, Acharya, Rajgopal, Badwe, Rajendra, Bhandare, Manish, Jain, Urvashi, Kirti, Karishma, Nair, Nita, Shrikhande, Shailesh, Thakkar, Purvi, Anandan, Premkumar, C S, Archana, Holenarasipur Narasannaiah, Arun, Jagarlamudi, Tejaswi, M R, Rashmi, Manangi, Mallikarjuna, Raghavendra, Abhishek, Rao, K Seshagiri, S, Vinay, Sajjan, Vinay, Shenoy, Aneesh, Shivashankar Chikkanayakanahalli, Santhosh, Tharanath, Kavya, V, Sushmita, Adidharma, Peter, Agarwal, Raksheeth, Anggita Gultom, Phebe, Arifin, Ghafur Rasyid, Billy, Matthew, Elfizri, Zatira, Fahira, Alessa, Felicia, Devi, Gunardi, Triana Hardianti, Johanna, Nadya, Nugrahadi, Nadia Rahmadiani, Panigoro, Sonar Soni, Rahmayanti, Siti, Sihotang, Retta Catherina, Brata, Santi Yuanita, Winoto, Hadi, Barati, Nastaran, Karami, Manoochehr, Khorshidi, Hamidreza, Naderifar, Homa, Abdulla, Mazin A, Coleman, Maggie, Doherty, Ronan J, Hannon, Rob, Murphy, Brenda, Stakelum, Aine, Winter, Des, Aljohmani, Lylas, Farnan, Richard, Seldon, Yeshey, Tan, Tanna, Varghese, Shriya, Alherz, Mohammad, Ather, Muaaz, Bajilan, Mohammad, Graziadei, Vivien, Pilkington, Isobel, Quidwai, Omar, Ridgway, Paul, Shiwani, Haaris, Tahir, Abd Al-Rahman, Blunnie, Eimear, Burke, Daniel, Kennedy, Niall, Macdonagh, Kate, O'Neill, Maeve, Rooney, Siobhan, Falco, Giuseppe, Ferrari, Guglielmo, Mele, Simone, Nita, Gabriela Elisa, Ugoletti, Lara, Zizzo, Maurizio, Confalonieri, Gianmaria, Pesenti, Giovanni, Tagliabue, Fulvio, Baronio, Gianluca, Ongaro, Deborah, Pata, Giacomo, Compagnoni, Bruno, Salvadori, Renato, Taglietti, Lucio, D'Alessandro, Nicola, Di Lascio, Pierpaolo, Pascale, Giovanni, Bortolasi, Luca, Campagnaro, Tommaso, Carlini, Massimo, Lisi, Giorgio, Lombardi, Davide, Pedrazzani, Corrado, Spoletini, Domenico, Turri, Giulia, Violi, Paola, Altomare, Donato Francesco, Aquilino, Fabrizio, Musa, Nicola, Papagni, Vincenzo, Picciariello, Arcangelo, Vincenti, Leonardo, Andreotti, Dario, Occhionorelli, Savino, Tondo, Matteo, Basso, Stefano Maria Massimiliano, Cirelli, Riccardo, Maino, Marco Enrico Mario, Piozzi, Guglielmo Niccolò, Picone, Emanuele, Scaramuzzo, Rosa, Sinibaldi, Giovanni, Amendola, Alfonso, Anastasio, Lorenzo, Bucci, Luigi, Caruso, Emanuele, Castaldi, Antonio, Di Maso, Sara, Dinuzzi, Vincenza Paola, Esposito, Giovanni, Gaudiello, Maria, Giglio, Mariano Cesare, Greco, Paola Antonella, Luglio, Gaetano, Manfreda, Andrea, Marra, Ester, Mastella, Federica, Pagano, Gianluca, Peltrini, Roberto, Pepe, Vincenzo, Sacco, Michele, Sollazzo, Viviana, Spiezio, Giovanni, Cianchetti, Ettore, Menduni, Nunzia, Carvello, Michele Maria, Di Candido, Francesca, Spinelli, Antonino, Corsi, Fabio, Sorrentino, Luca, Marino, Fabio, Asti, Emanuele Luigi Giuseppe, Bonavina, Luigi, Rausa, Emanuele, Asta, Martina, Belli, Andrea, Bianco, Francesco, Cervone, Carmela, Delrio, Paolo, Falato, Armando, Fares Bucci, Andrea, Guarino, Rita, Pace, Ugo, Rega, Daniela, De Luca, Emilia, Gallo, Gaetano, Sammarco, Giuseppe, Sena, Giuseppe, Vescio, Giuseppina, Santandrea, Letizia, Ugolini, Giampaolo, Zattoni, Davide, Chetta, Nicola, Logrieco, Gaetano, Vanella, Serafino, Garulli, Gianluca, Zanini, Nicola, Bondurri, Andrea, Cammarata, Francesco, Colombo, Francesco, Foschi, Diego, Lamperti, Giulia Maria Beatrice, Maffioli, Anna, Sampietro, Gianluca Matteo, Yakushkina, Al'ona, Zaffaroni, Gloria, Cicuttin, Enrico, Sibilla, Maria Grazia, Impellizzeri, Harmony, Inama, Marco, Moretto, Gianluigi, Mochet, Sylvie, Ponte, Elisa, Usai, Antonella, Mancini, Stefano, Sagnotta, Andrea, Solinas, Luigi, Bolzonaro, Elisa, Tamini, Nicolò, Curletti, Gianluca, Galleano, Raffaele, Malerba, Michele, Campanella, Sofia, Cocorullo, Gianfranco, Colli, Francesco, De Marco, Paolino, Falco, Nicolò, Fontana, Tommaso, Kamdem Mambou, Leonel Jospin, La Brocca, Antonella, Licari, Leo, Randisi, Brenda, Rizzo, Giovanna, Rotolo, Giulia, Salamone, Giuseppe, Tutino, Roberta, Venturelli, Paolina, Malabarba, Stefano, Sgrò, Alessandro, Vella, Ivan, Cirillo, Bruno, Crocetti, Daniele, De Toma, Giorgio, Lapolla, Pierfrancesco, Mingoli, Andrea, Sapienza, Paolo, Belvedere, Angela, Bianchini, Stefania, Binetti, Margherita, Birindelli, Arianna, Tonini, Valeria, Podda, Mauro, Pulighe, Fabio, De Rosa, Michele, Bono, Lorenzo, Borghi, Felice, Geretto, Paolo, Giuffrida, Maria Carmela, Lauro, Corrado, Marano, Alessandra, Pellegrino, Luca, Salusso, Paola, Sasia, Diego, Campanelli, Michela, Realis Luc, Alberto, Trompetto, Mario, Cardia, Roberto, Cillara, Nicola, Giordano, Antonio Nicola, Costanzo, Antonio, Giovilli, Mario Alessandro, Turati, Luca, Canonico, Silvestro, Sciaudone, Guido, Selvaggi, Francesco, Selvaggi, Lucio, Albsoul, Nader, AlBsoul, Ahmad, Alkhatib, Ala'a Aldeen, Alsallaq, Osama, Amarin, Justin Z, Ayoub, Rami, Bsisu, Isam, El Muhtaseb, M S, Jabaiti, Mohammad, Melhem, Jamal, Qwaider, Yasmeen Z, Salameh, Mohammad Hasan, Suleihat, Ahmad, Suradi, Haya H, Alammarin, Mohammad, Aljaafreh, Almoutuz, Bani Hani, Mohammad, Bani Hani, Zeina, Bani Hani, Farah, Fahmawee, Toqa, Hamouri, Shadi, Katanani, Cyrine, Tawalbeh, Ra'fat, Tawalbeh, Tamara, Zawahrah, Hassan, Abou Chaar, Mohamad K, Abusalem, Lana, Al-Masri, Mahmoud, Al-Najjar, Hani, Barghuthi, Lutfi, Ahmed, Zahra, Maulana, Adnan, Ngotho, Omar, Kamau, Charbel, Stanley Mwenda, Aruyaru, Bosire, Fridah, Mwachiro, Elizabeth, Parker, Robert, Simel, Ian, Sylvester, Kimutai, Althini, Abdulmunem Ahmed Mustafa, Elbarouni, Sofian, Elbeshina, Aya Elseed, Gwea, Ahmed, Malek, Ans, Masoud Farag, Wedad Albashir, Abdalei, Abdulwahab, Abdel Malik, Abu Baker, Abo-Khammash, Areej, Abuhlaiga, Ma'aly, Adnan, Nour, Albaggar, Marwa, Alfitory, Asma, Aljanfi, Asma, Almuzghi, Fakhruddin, Altumei, Zohoor, Alzabti, Fatima, Ashoushan, Hana, Assalhi, Mohamed, Azzubia, Joma, Bnhameida, Sondos, Delhen, Malik, Elshafei, Houssein, Elteir, Hana, Esbaga, Fatima, Gobbi, Abdel Aziz, Hamouda, Fatma, Hilan, Hamdan, Ismail, Rania, Jebran, Fieruz, Kasbour, Muataz, Maderi, Galia, Mohammad, Saja, Mohammed, Burooj, Murtadi, Habib, Mustafa, Hamassat, Rajab, Mohamed, Trenba, Sarah, Wafaa, Mariam, Al Sagheir, Eman, Almigheerbi, Alabas, Alzahaf, Ahmed, Bahroun, Sumayyah Ghayth, Ben Dallah, Najah, Elshaibani, Mahmoud, Eswaye, Haitem, Karar, Maha, Omar, Samah, Younes, Eman, Younes, Maha, Zreeg, Dafer, Abujamra, Saleh, Ashour, Firas, Elgammudi, Mala, Omar F Aljadidi, Wesal, Saddouh, Enas, Sharif, Randa, Alabuzidi, Aya, Alwerfally, AbdulMawlay, Aribi, Sarra, Bibas, Fatma, Elfaituri, Taha, Elhajjaji, Yasmine, Khaled, Ala, Khalil, Wegdan, Layas, Tesneem, Soula, Enas, Tarek, Ahmed, Abu Hallalah, Muad Fathi Khalleefah, Ahmed, Hazem Abdelkarem, Alsharef, Tagwa, Ben Saoud, Abdulsalam Ali, El Gharmoul, Tasnim, Elhadi, Ahmed, Elrais, Safa, Shebani, Abdulhalim, Zarti, Heba, Zeiton, Asaid, Ambrazevicius, Marijus, Kaselis, Nerijus, Stakyte, Migle, Aliosin, Oleg, Cizauskaite, Agne, Dailidenas, Sarunas, Eismontas, Vitalijus, Kybransiene, Migle, Nutautiene, Vitalija, Samalavicius, Narimantas, Simcikas, Dainius, Slepavicius, Algirdas, Tamosiunas, Albinas, Ubartas, Nerijus, Zeromskas, Paulius, Bradulskis, Saulius, Dainius, Edvinas, Juocas, Juozas, Kubiliute, Egle, Kutkevicius, Juozas, Opolskis, Aurimas, Parseliunas, Audrius, Subocius, Andrejus, Virbickaite, Egle, Zuikyte, Diana, Bogusevicius, Algirdas, Buzaite, Kristina, Cepuliene, Daiva, Cesleviciene, Ieva, Cesna, Vaidotas, Gribauskaite, Jolanta, Ignatavicius, Povilas, Jokubauskas, Mantas, Liugailaite, Monika, Margelis, Ernest, Mazelyte, Ruta, Pankratjevaite, Lina, Pažusis, Matas, Rackeviciute, Agne, Saladyte, Justina, Škimelyte, Monika, Šlenfuktas, Vygintas, Sudeikyte, Monika, Tamelis, Algimantas, Vanagas, Tomas, Žumbakys, Žygimantas, Atkociunas, Aivaras, Dulskas, Audrius, Kuliavas, Justas, Birutis, Justas, Paškevicius, Sigitas, Šatkauskas, Mindaugas, Danys, Donatas, Jakubauskas, Matas, Jakubauskiene, Lina, Kryzauskas, Marius, Lipnickas, Vytautas, Makunaite, Gabija, Rasoaherinomenjanahary, Fanjandrainy, Rasolofonarivo, Herizo, Samison, Luc Hervé, Banda, Bitiel, Msosa, Vanessa, Ahmad Izzuddin, Ahmad Imran, Das, Andre, Gan, Ying Yee, Shong Sheng, Tan, Siaw, Jia Yng, Ab Rahim, Mohd Fadliyazid, Abang Jamari, Dyg Zahratul Hamrak, Che Husin, Nurfariza, Kamarulzaman, Muhd Yusairi, Lim, Yi Ping, Mohamed Kamil, Nil Amri, Mohd Hassan, Mohd Razeen, Mohd Sahid, Saidah, Mustafa, Johari, Ng, Elaine Hui Been, Wan Khazim, Wan Khamizar, Chang Ern, Ng, Lingeshan, P G, Sulaiman, Syariz Ezuan, Ang, Sue Ean, Bin Mohamad Sithik, Muhammad Navid, Cheong, Yih Jeng, Deva Tata, Mahadevan, Jia Xian, Law, Kadravello, Aravinthan, Koh, I-Ern, Ng, Li-Yen, Ng We Yong, Yuki Julius, Palayan, Kandasami, Sam, Chi Xuan, Siow Jin, Phuah, Tan Ern Hwei, Jeremy, Tang, Yita, Ter, Alvin Zubin, Wong, Michael Pak-Kai, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Henry, Fitjerald, Kalaiselvan, Thyivya, Abd Karim, Muhammad Fairuz Shah, Abdul Aziz, Mohamed Rezal, Abdul Aziz, Nora, Khong, Tak Loon, Lau, Peng Choong, Lim, Hiong Chin, Roslani, April Camilla, Seak, Jonathan Chen Ken, Wong, Sui-Weng, Wong, Lai Fen, Yeen Chin, Leow, Anyanwu, Mercy Chinemerem, Busuttil, Zachary, Calleja, Thomas, Chircop, Kurt Lee, Cutajar, Ruth, Dimech, Andrew Michael, Galea, Joseph, Gascon Perai, Kiara, Gatt, Ruth, Kelman, Lisa, Micallef, Elizabeth, Nwolu, Favour, Sammut, Kim, Thompson, Joanna, Warwicker, Sean, Zammit, Matthew, Cordera, Fernando, Cruz González, Efraín, Sánchez-García, Jorge, Barbosa Camacho, Francisco José, Barrera López, Francisco Javier, Zuloaga Fernandez Del Valle, Carlos Jose, Acosta, Eric, González Espinoza, Iván Romarico, Moreno, Perla, Cortes-Flores, Ana Olivia, Fuentes Orozco, Clotilde, Gonzalez Ojeda, Alejandro, Corro Díaz González, Samantha, Martinez, Laura, Mosqueda Amador, Bonifacio, Novoa, Armando, Olazo Espejo, Dennet Arturo, Jimenez, Alejandro, Lopez Rosales, Federico, Vanoye, Elva Gabriela, Garcia Gonzalez, Luis Alberto, Miranda-Ackerman, Roberto Carlos, Solano-Genesta, Manuel, Alvarez-Cano, Alethia, Romero-Garza, Hector Hugo, Medina-Franco, Heriberto, Mejía-Fernández, Lorelí, Salgado-Nesme, Noel, Vergara-Fernandez, Omar, Gutiérrez-Mota, Guadalupe Montserrat, Hernandez Vera, Francisco Xavier, Llantada Lopez, Anabella, Morgan Villela, Gilberto, Ramirez Padilla, Felipe de Jesus, Tapia Marin, Walezka, Martínez Maldonado, Mónica, Sánchez Suárez, Ramses, Troche, José Manuel, Benyaiche, Chaymae, Outani, Oumaima, Amine, Souadka, Benkabbou, Amine, Majbar, Anass Mohammed, Mohsine, Raouf, Rafik, Ali, Oung, Thida, Tin, Moe Moe, Plarre, Philipp, Alberga, Anna, Sluiter, Nina, Tuynman, Jurriaan, Blok, Robin, Cömert, Didem, Hompes, Roel, Kalff, Marianne, Stellingwerf, Merel Elisabeth, Tanis, Pieter, van Berge Henegouwen, Mark, van Praag, Elise Maria, Wisselink, Daan, Gerhards, Michael, Lopes Cardozo, Josephine, Westerduin, Emma, de Jonge, Joske, van Geloven, Aaw, van Schilt, Kaz, den Boer, Frank, Stoots, Simone, Vlek, Stijn, Adams, Jamie, Al-Busaidi, Ibrahim S, Budd, Gabrielle, Choi, Seung Il, Chu, Michael Jen Jie, Ganugapati, Anurag, McKinstry, Lucy, Pascoe, Rebecca, Richards, Simon, Rosser, Kenrick, Stevenson, Annie, White, Rebecca, Farik, Shebani, Kwun, Jin, Murad, Ahmed, Cowan, Sarah, Hall, Timothy, Hayton, Michael, Malam Sani, Laminou, Oumarou Garba, Souleymane, Amadou Magagi, Ibrahim, Habou, Oumarou, Aliyu, Halima, Daniyan, Muhammad, Sholadoye, Tunde T, Abdullahi, Lawal, Anyanwu, Lofty-John, Mohammad Mohammad, Aminu, Muhammad, Abubakar Bala, Sheshe, Abdurrahman Abba, Suleiman, Ibrahim, Adesina, Alaba, Awolowo, Ajibola, Onuoha, Clement, Salami, Omotayo, Taiwo, Ogechukwu, Taiwo, Agboola, Kache, Stephen, Makama, Jerry Godfrey, Sale, Danjuma, Abiola, Olajide, Ajao, Akinlabi, Ajiboye, Anthony, Etonyeaku, Amarachukwu, Olaogun, Julius, Adebanjo, Ademola, Adesanya, Opeoluwa, Afolayan, Michael Olatunji, Balogun, Olanrewaju, Makanjuola, Ayomide, Nwokocha, Samuel, Ojewola, Rufus Wale, Olajide, Thomas Olagboyega, Aderounmu, Adewale, Adesunkanmi, Abdul-Rashid, Agbakwuru, Augustine, Akeem Aderogba, Adeleke, Alatise, Olusegun Isaac, Arowolo, Olukayode, Lawal, Oladejo, Mohammed, Tajudeen, Ndegbu, Chinedu, Olasehinde, Olalekan, Wuraola, Funmilola, Akinkuolie, Akinbolaji, Mosanya, Arinzechukwu, Ayandipo, Omobolaji, Elemile, Peter, Lawal, Taiwo Akeem, Ali Sani, Samuel, Garba, Stephen, Hauwa Sani, Rebecca, Olori, Samson, Onyebuashi, Henry, Umoke, Ifeanyi, Adenuga, Adedire, Adeyeye, Ademola, Habeeb, Olufemi, Lawal, Bashir, Nasir, Abdulrasheed, Aahlin, Eirik Kjus, Kjønås, Didrik, Myrseth, Elisabeth, Abbasy, Jibran, Alvi, Abdul, Saleem, Omair, Afzal, Asma, Nazir, Anam, Farooq, Muhammad, Liaqat, Ayesha, Naqi, Syed Asghar, Raza, Ali, Sarfraz, Muzna, Sarwar, Muhammad, Banglani, Muntaha, Munir, Ambreen, Sehrish, Rahmat, Ayub, Bushra, Sayyed, Raza, Altaf, Amna, Ayub, Saima, Saeed, Komal, Syed, Bilal, Akbar, Sana Amir, Anwer, Abdul Wahid, Khan, Ruqayya Naheed, Khan, Amina Iqbal, Khattak, Shahid, Mohtasham, Sameen, Parvaiz, Muhammad Asad, Syed, Aamir Ali, Ansari, Abdul Basit, Shahzad, Noman, Khaliq, Tanwir, Rashid, Isbah, Waqar, Shahzad Hussain, Abu Al-Saleem, Hasan, Abu Alqumboz, Amjad, Alqadi, Mohammad, Amro, Adham, Assa, Rawan, Awesat, Eman, Ayyad, Rawan, Hammad, Mohammed, Haymony, Ayat, Hijazi, Bassel, Hmeidat, Bara, Lahaseh, Rowaa, Qawasmi, Aseel, Rajabi, Alaa, Shehada, Mohammed, Shkokani, Sundus, Yaghi, Yasmine, Yaghi, Nadine, AlZohour, Mohammad, Farid, Mohammad, Habes, Yousef Mahmoud, Juba, Wesam, Nubani, Yanal, Rabee, Abdelrahman, Sa'deh, Mohammad, Abed, Saeed, Al Basos, Iyad, Alswerki, Mohammad, Ashour, Dina, Awad, Israa, Diab, Samar, El Jamassi, Alaa, El-Kahlout, Sahar, Elhout, Somaya, Hajjaj, Ahmed N K, Hasanain, Doaa, Nabil Hajjaj, Baraa, Obaid, Mohammed, Saikaly, Eman, Salhi, Ahmed, Al-Tammam, Hiba, Almasri, Murad, Baniowda, Muath, Beshtawi, Doha, Horoub, Ali, Misk, Rami, Mohammad, Bayan, Qasrawi, Rami, Sholi, Tasnim, Abu-Nimeh, Samar, Abu-Srour, Abrar, Abukhalaf, Sadi A, Adawi, Samer, Alsalameh, Barah, Ayesh, Kholoud, Elqadi, Muawiyah, Hammouri, Ahmad, Karim Mustafa, Fatima, Marzouqa, Natalie, Melhem, Shatha, Miqdad, Dima, Mohamad, Balqees, Rawhi, Mhammed, Abu Ahammala, Ayman B, Abu Ataya, Ahmed, Abu Jayyab, Israa, Al-Shwaikh, Samar, Alagha, Othman, Alasttal, Mohammed, Awadallah, Haneen, Elblbessy, Mahmood, Fares, Jehad, Jarbou, Akram, Mahfouz, Ibtisam, Albahnasawi, Moath A, Abo Mahadi, Asmaa', Abuelhatal, Hasan, Abuelqomboz, Ayham, Almoqayyad, Abdelrahman, Alwali, Abdallah, Balaawi, Reem, Hamouda, Mahmoud, Humeid, Mohammed, Jedyan, Abdullah, Mahmoud Abu Hamam, Tasneem, Matar, Ghadeer, Salem, Ali, Samra, Tahani, Shaheen, Nureddin, Shihada, Karam, A Nemer, Ayoob, Abu Al Amrain, Mahmoud, Abu Alamrain, Abdulwhhab, Abu Jamie, Najlaa, Abu-Rous, Mohammed R, Alfarra, Nada, AlTaweel, Mohammed, Alwhaidi, Noor, Hamed, Ramadan, Saqqa, Bader, Shaheen, Ahmad, Aljaber, Dana, Aljaberi, Loay, Alwaheidi, Malak, Jawaada, Assef, Khaldi, Hani, Qahoush, Rami, Qari, Jalil, Saadeh, Rana, Salim, Ahlam, Yacoub, Aseel, Abbas, Abbas, Abu Shua Ib, Rana, Abu Zainah, Baraa, AbuSirrees, Mahmoud, Babaa, Basheer, Barhoush, Ola, Belal Qadomi, Asef, Daraghmeh, Laith, Haji, Reema, Khatatbeh, Alaa, Khatib, Lana, Qarariah, Salsabeel, Quzmar, Yara, Safadi, Khalil, Salameh, Roqaya, Hassan, Mohammad, Herzallah, Shifaa, Massad, Loai, Nazzal, Ahmed, Nazzal, Ranin, Escobar, Dennis, Machain V, Gustavo Miguel, Rodriguez Gonzalez, Agustin, Chachaima Mar, Jorge Emerson, Chinchihualpa Paredes, Nathaly Olga, Cuba, Vicente, Lopez, Walter, Niquen Jimenez, Maria Milagros, Sanchez Bartra, Nestor Alberto, Sapallanay Ojeda, Olenka, Sequeiros, Diego, Toscano Pacheco, Andrea, Vergara, María, Abarca, Sol, Alcorta, Rodrigo, Borda-Luque, Giuliano, Eusebio Zegarra, Ivan Edward, Luján López, Claudia, Marrufo, Mirella, Mogrovejo, Cinthya, Nomura, Andrea, Rodríguez Angeles, Yamile, Vidal Meza, Maitza Rosario, Zavala, Gabriela, Castillo Arrascue, José Neiser, Hidrogo Cabrera, Jomara Caroline, Larrea Vera, José Julio Mariano, Osorio, Miguel, Ylatoma Díaz, Edgar Alcides, Fontanilla, Mark Anthony, Fuentes, Joseph Roy, Salazar, Anna Leah, Dominguez, Genieve, Lopez, Marc Paul, Macalindong, Shiela, Onglao, Mark Augustine, Ramirez, Arjel, Sacdalan, Marie Dione, Tampo, Mayou Martin, Uy, Gemma Leonora, Mangahas, Jeremiah, Yabut, Kenneth, Cañete, Joannes Paul, Cansana, Bernalynn Eris, Castro, Ernes John, Lipana, Maria Kaiserin, Roxas, Manuel Francisco, Zara, Vlu Jean, Chrol, Maciej, Franczak, Paula, Orlowski, Michal, Budzynski, Piotr, Budzynski, Andrzej, Bury, Pawel, Czerwinska, Agata, Dworak, Jadwiga, Dziedzic, Jacek, Kisielewski, Michal, Kulawik, Jan, Lasek, Anna, Malczak, Piotr, Migaczewski, Marcin, Pedziwiatr, Michal, Pisarska, Magdalena, Radkowiak, Dorota, Rubinkiewicz, Mateusz, Rzepa, Anna, Skoczylas, Tomasz, Stanek, Maciej, Truszkiewicz, Katarzyna, Wierdak, Mateusz, Winiarski, Marek, Zarzycki, Piotr, Zub-Pokrowiecka, Anna, Kowalewski, Piotr, Roszkowski, Rafal, Waledziak, Maciej, Tomé, Miguel, Patrocinio, Sara, Guerreiro, Ines, Almeida, Filipe, de Sousa, Xavier, Monteiro, Nuno, Costa Santos, Maria Teresa, de Oliveira, Daniela, Lopes Serra, Marta, Morgado, Daniela, Neves, Christian, Oliveira, Ana Carolina, Pimentel, Alice, Silva, Sofia, Carvalho, Márcia, Carvalho, Lúcia, Magalhães, Joana, Matos, Leonor, Monteiro, Tânia, Ramos, Carlota, Santos, Vanessa, Barbosa, José, Costa-Maia, Jose, Devezas, Vítor, Fareleira, Ana, Fernandes, Cristina, Gonçalves, Diana, Mora, Henrique, Morais, Marina, Silva de Sousa, Fabiana, Catarino Santos, Sara, Logrado, Ana, Tojal, André, Amorim, Edgar, Cunha, Miguel F, Fazenda, Ana, Melo Neves, João Pedro, Sampaio da Nóvoa Gomes Miguel, Inês Isabel, Veiga, Diogo, Azevedo, José, Cardoso Louro, Hugo, Leite, Mariana, Bairos Menezes, Maria, Gama, Bárbara, Brito, Diana, Cruz Martins, Marta Cristina, Graça E Magalhães, André, Longras, Ana Catarina, Lourenço, Rita, Matos, Diana, Castro, Luis, Policarpo, Filipa, Romano, Joana, Monteiro, Cristina, Pinto, Diogo, Duarte, Marina, Fortuna Martins, Sónia, Oliveira, Mariline, Galvão, Diogo, Martins, Lisandra, Silva, Anaisa, Taranu, Viorel, Vieira, Bárbara, Neves, Jessica, Oliveira, Simone, Ribeiro, Hugo, Cinza, Margarida, Felix, Rosa, Machado, Arnaldo, Oliveira, Joana, Patrício, Joana, Pedroso de Lima, Rita, Pereira, Mário, Rocha Melo, Miguel, Velez, Cristina, Abreu da Silva, Alberto, Claro, Mariana, Costa Santos, Daniel, Ferreira, Andreia, Capote, Hugo, Rosado, Daniela, Taré, Filipa, Nogueira, Oriana, Ângelo, Miguel, Baiao, José Miguel, Guimarães, Andreia, Marques, João, Nico Albano, Miguel, Silva, Marta, Valente da Costa, Ana, Vieira Caroço, Teresa, Almeida Braga, Sara, Capunge, Ines, Fragoso, Marta, Guimarães, João, Pinto, Bruno, Ribeiro, João, Angel, Miguel, Fialho, Guilherme, Guerrero, Monica, Campos Costa, Filipa, Cardoso, Diogo, Cardoso, Vasco, Alves, Magda, Estalagem, Inês, Louro, Tiago, Marques, Cláudia, Martelo, Rita, Morgado, Miguel, Canotilho, Rita, Correia, Ana Margarida, Martins, Pedro, Peyroteo, Mariana, Gomes, João, Monteiro, Rita, Romano, Manuela, Alves, Daniela Macedo, Peixoto, Rita, Quintela, Catarina, Jervis, Maria João, Melo, Débora, Pacheco, André, Paixão, Valter, Pedro, Vera, Pimenta, Joana, Pimenta de Castro, João, Rocha, Ana, Beuran, Mircea, Ciubotaru, Cezar, Diaconescu, Bogdan, Hostiuc, Sorin, Negoi, Ionut, Stoica, Bogdan, Na, N A, Anokhin, Evgeny, Kuznetsov, Georgy, Oganezov, Giorgi, Paramzin, Fedor, Romanova, Ekaterina, Rutkovskii, Valeryan, Rutkovskii, Vasilii, Shushval, Mikhail, Zabiyaka, Mikhail, Dzhumabaev, Khasan, Ivanov, Valerii, Mamedli, Zaman, Achkasov, Sergey, Balkarov, Artem, Nabiev, Elnur, Nagudov, Marat, Rybakov, Evgeny, Saifutdinova, Karina, Sushkov, Oleg, Joseph, Lule, Ndayishimiye, Isaac, Faustin, Ntirenganya, Mutabazi, Alphonse Zeta, Mvukiyehe, Jean Paul, Nsengimana, Vizir J P, Uwakunda, Carine, Abbas, Mohammad Monir, Akeel, Nouf, Aljiffry, Murad, Awaji, Kholoud, Farsi, Ali, Jamjoum, Ghader, Khoja, Ahmad, Maghrabi, Ashraf, Malibary, Nadim, Nassif, Mohammed, Saleem, Abdulaziz, Sultan, Abdullah, Tashkandi, Wail, Tashkandi, Hanaa, Trabulsi, Nora, Ba, Mouhamadou Bachir, Diallo, Adja Coumba, Ndong, Abdourahmane, Cuk, Vladica, Jankovic, Uroš, Koh, Sharon Zhiling, Koh, Frederick, Lee, Kuok Chung, Lee, Kai Yin, Lee, Sean, Leong, Wei Qi, Lui, Su Ann, Prakash, Prajwala, Grosek, Jan, Norcic, Gregor, Tomazic, Ales, Fitchat, Nicolas, Jaich, Robert, Wineberg, Devorah, Koto, Modise Zacharia, Baiocchi, Daniella, Clarke, Damian, Steenkamp, Christina Johanna, Bannister, Sharon, Boutall, Adam, Chinnery, Galya, Coccia, Anna, Dell, Angela, Karjiker, Parveen, Kloppers, Christo, Loxton, Nicholas, Mabogoane, Tumi, Malherbe, Francois, Panieri, Eugenio, Rayamajhi, Shreya, van Wyngaard, Tirsa, Warden, Claire, Madiba, T E, Pillay, Nivashen, Brooks, Savannah, Kruger, Charlise, Van Der Merwe, Lisa Hannah, Gool, Ferhana, Kariem, Maahir, Bougard, Heather, Kariem, Nazmie, Noor, Fazlin, Pillay, Reantha, Steynfaardt, Leandi, González González, Lucía, Marín Santos, José Miguel, Martín-Borregón, Paula, Martínez Caballero, Javier, Nevado García, Cristina, Rodriguez Fraga, Pastora, De Castro Parga, Gonzalo, Fernández Veiga, Maria Pilar, Garrido López, Lucía, Infante Pino, Hugo, Lages Cal, Irene, López Otero, Marta, Nogueira Sixto, Manuel, Paniagua García Señorans, Marta, Rodríguez Fernández, Laura, Ruano Poblador, Alejandro, Rufo Crespo, Erika, Sanchez-Santos, Raquel, Vigorita, Vincenzo, Alonso Batanero, Ester, Asnel, Dorisme, Cifrian Canales, Isabel, Contreras Saiz, Elisa, De Santiago Alvarez, Irene, Díaz Vico, Tamara, Fernandez Arias, Sebastian, Fernández Martínez, Daniel, García Bernardo, Carmen, García Flórez, Luis Joaquín, Garcia Gutierrez, Carmen, García Munar, Manuel, Márquez Zorrilla Molina, Carlos Alberto, Merayo, Marta, Michi Campos, José Luis, Moreno Gijon, Maria, Otero-Diez, Jorge L, Rodicio Miravalles, Jose Luis, Solar-Garcia, Lorena, Suárez Sánchez, Aida, Truan, Nuria, Alejandre Villalobos, Cristina, Caballero Díaz, Yurena, Jimenez, Marta, Montesdeoca, Dacil, Navarro-Sánchez, Antonio, Vega, Victor, Beltrán de Heredia, Juan, Gómez, Zahira, Jezieniecki, Carlos, Legido Morán, Ana Patricia, Montes-Manrique, Mario, Rodriguez-Lopez, Mario, Ruiz Soriano, María, Trujillo Díaz, Jeancarlos, Vazquez Fernandez, Andrea, Argudo, Nuria, Pera, Miguel, Torrent Jansà, Laia, García Domínguez, Melody, Goded, Ignacio, Roldón Golet, Marta, Talal El-Abur, Issa, Utrilla Fornals, Alejandra, Zambrana Campos, Vanesa, Aguilar Martinez, Maria Del Mar, Bosch, Marina, García-Catalá, Luis, Sánchez-Guillén, Luis, Artigau, Eva, Gomez Romeu, Nuria, Julià Bergkvist, David, Espina Perez, Beatriz, Morató, Olga, Olona, Carles, Diéguez, Beatriz, Forero-Torres, Alexander, Losada, Manuel, Gomez-Abril, Segundo, Gonzálvez, Paula, Martinez, Rosario, Navarro Martínez, Sergio, Payá-Llorente, Carmen, Pérez Rubio, Álvaro, Santarrufina Martinez, Sandra, Sebastián Tomás, Juan Carlos, Trullenque Juan, Ramon, Gegúndez Simón, Alberto, Maté, Paloma, Prieto-Nieto, Maria Isabel, Rubio-Perez, Ines, Urbieta, Aitor, Vicario Bravo, Marina, Abelló, David, Frasson, Matteo, Garcia-Granero, Alvaro, Abad Gurumeta, Alfredo, Abad-Motos, Ane, Lucena-de Pablo, Elena, Nozal, Beatriz, Ripollés-Melchor, Javier, Salvachúa, Rut, Ferrero, Esther, Garcia-Sancho Tellez, Luis, Picardo, Antonio L, Rojo López, Jose Alberto, Zorrilla Matilla, Laura Patricia, Cagigas Fernandez, Carmen, Castanedo Bezanilla, Sonia, Estevez Tesouro, José, Fernandez-Diaz, Maria Jose, García Cardo, Juan, Gomez Ruiz, Marcos, Gonzalez-Tolaretxipi, Erik, Jimeno Fraile, Jaime, Poch, Cristobal, Rodriguez-Aguirre, Montserrat, Troche Pesqueira, Noemí, Trugeda-Carrera, Maria Soledad, de la Torre, Javier, Blanco-Colino, Ruth, Espin-Basany, Eloy, Espinosa-Bravo, Martin, Morales Comas, Clara, Reyes Afonso, Eduardo, Rivero Déniz, Joaquín, Siso Raber, Christian, Verdaguer Tremolosa, Mireia, Chandrasinghe, Pramodh, Kumarage, Sumudu, Wijekoon Arachchilage, Nimeshi, Abdalla Ahmed Elkamel, Ahmed, A Adam, Mohammed, Blomme, Nina, Thorell, Anders, Wogensen, Fredrik, Älgå, Andreas, Ansarei, Dhirar, Celebioglu, Fuat, Heinius, Göran, Nigard, Linda, Pieniowski, Emil, Ahlqvist, Sandra, Björklund, Ida, Frånberg, Andreas, Håkansson, Martina, Adamo, Karin, Franklin, Oskar, Sund, Malin, Wiberg, Rebecca, Andersson, Yvette, Chabok, Abbas, Nikberg, Maziar, Kugelberg, Alexander, Canonica, Claudia, Christoforidis, Dimitrios, Fasolini, Fabrizio, Gaffuri, Paolo, Giuliani, Mauro, Meani, Francesco, Popeskou, Sotirios Georgios, Pozza, Silvia, Wandschneider, Wiebke, Peterer, Lorenz, Widmer, Lukas Werner, Zimmermann, Bernd, Bakoleas, Panagiotis, Chanousi, Iris, Charalampidou, Lydia, Grochola, Lukasz Filip, Heid, Franziska, Ntaoulas, Sotirios, Outos, Michail, Peros, Georgios, Podolska-Skoczek, Hanna, Reinisch, Katharina Beate, Zielasek, Christian, Demartines, Nicolas, Gilgien, Jérôme, Kefleyesus, Amaniel, St-Amour, Pénélope, Toussaint, Arnaud, Alhimyar, Maryam, Alsaid, Bayan, Alyafi, Amr, Alkhaledi, Ahmad, Kouz, Basel, Omarain, Ahmad, Al-Sabbagh, Yusra, Alkhatib, Haya, Sara, Samer, Alhaj, Ahmad, Danial, Aghyad, Kadoura, Lama, Maa Albared, Sarah, Monawar, Yamen, Nahas, Louei, Abd, Barook, Saad, Ahmad, Wakkaf, Habib, Bouzaiene, Hatem, Ghalleb, Montassar, Akaydin, Elif, Akbaba, Ata Cem, Atakul, Onur, Baltaci, Ege, Besli, Sevval, Burgu, Gökçen, Cenal, Ulukan, de Muijnck, Cansu, Demirkaya, Hasan Can, Dogruoz, Alper, Gezer, Zeynep Ipek, Gündogdu, Yasemin, Kara, Merve, Korkmaz, Hasan Kürsad, Kurtoglu, Gökalp Kagan, Ozben, Volkan, Ozmen, Berk Baris, Pektas, Ahmet Murat, Sel, Eda Kübra, Yenidünya, Nilüfer, Bengur, Fuat Baris, Oral, Berke Mustafa, Yozgatli, Tahir Koray, Abdullayev, Seymur, Gunes, Mehmet Emin, Sahbaz, Nuri Alper, Banaz, Tuba, Kargici, Kübra, Kuyumcu, Omer Faruk, Yanikoglu, Erkan, Yesilsancak, Merve, Yilmaz, Duygu, Aktas, Melik Kagan, Rencuzogullari, Ahmet, Isik, Arda, Leventoglu, Sezai, Yalçinkaya, Ali, Yüksel, Osman, Kalayci, Mustafa U, Kara, Yasin, Sarici, Inanc Samil, Akin, Alp, Alemdag, Gökçe Nur, Arslan, Ekin, Baki, Bahadir Emre, Bodur, Muhammed Selim, Calik, Adnan, Candas Altinbas, Bahar, Cihanyurdu, Irem, Erkul, Oguz, Gül, Burak, Guner, Ali, Köse, Beyza, Semiz, Anil, Sevim, Sule, Tayar, Serkan, Tomas, Kadir, Tüfek, Ozan Yavuz, Türkyilmaz, Serdar, Ulusahin, Mehmet, Usta, Arif, Yildirim, Reyyan, Güler, Sertaç Ata, Tatar, Ozan Can, Varol, Ecenur, Kirimtay, Busenur, Uysal, Muhammed, Yildiz, Alp, Kose, Emin, Ciftci, Ahmet Burak, Çolak, Elif, Eraslan, Huseyin, Kucuk, Gultekin Ozan, Yemez, Kürsat, Lule, Herman, Bienfait, Mumbere, Bua, Emmanuel, Okalany, Noella, Basarab, Maksym, Bielosludtsev, Oleksii, Kolhanova, Kateryna, Perepelytsia, Kateryna, Romanukha, Kateryna, Savenkov, Dmytro, Siryi, Stanislav, Tereshchenko, Maksym, Viacheslav, Nezamai, Volovetskyi, Anton, Kebkalo, Andrey, Tryliskyy, Yegor, Tyselskiy, Volodimir, Bruce, Eilidh, Chow, Bing Lun, Iddles, Emma, McGuckin, Sarah, Newall, Nicola, Ramsay, George, Sharma, Parivrudh, Stewart, Caitlin, Wong, Jeremy, Badran, Abdul, Bath, Michael, Belais, Fanny, Butt, Eman, Joshi, Kaustuv, Kapur, Milan, Shaw, Mike, Townson, Adam, Williams, Christopher Yee Khang, Gray, Timothy, Greig, Robert, Husain, Mansoor, Murray, Elspeth, Mustafa, Ahmed, Asif, Ashar, Gokul, Arya, Shah, Max, Akitikori, Mabel Temisanren, Charalabopoulos, Alexandros, Davidson, Sophie, McNally, Sinead, Rupani, Shamil, Juma, Fatema, Mills, Sarah Catherine, Muirhead, Laura, Sellars, Kate, Walsh, Una, Warren, Oliver, Chambers, Alice, Hunt, Richard, Boyce, Stephen, Cornwall, Hannah, Tol, Isabel, Argyriou, Eleftherios Orestis, Eardley, Nicola, Povey, Meical, Aithie, Joanna M S, Irfan, Ahmer, McGuigan, Mari-Claire, Starr, Robert, Warren, Craig Russell, Archibald, Jess, Kirby, Georgia, Kisyov, Ivan, Khoo, Chun Kheng, Lee, Rachel, Photiou, Dana, Davis, Rowan, Prasad, Uday, Yang, P Zichu, Bird, Jonathan, Leung, Edmund, Summerour, Virginia, Currow, Chelise, Kiam, Jianshen, Tan, Gerald Jack Soon, Muthusami, Anitha, Pegba-Otemolu, Ibifunke, Urbonas, Tomas, Nunoo-Mensah, Joseph, Smolskas, Edgaras, Boddy, Alex, Gravante, Gianpiero, Hunter, David, Andrew, David, Koh, Amanda, Thompson, Amari, Adams, Lawrence, Clements, Hollie A, De Silva, Kasun, Ekpete, Ogbonnia, Haque, Seraj, Henderson, Scott, Ibrahim, Bilal, Jayasinghe, Thummini, Livie, Jennifer, Mailley, Keir, Nair, Gopikrishnan, Tan, Daniel, Baggaley, Caitlin, Dawidziuk, Aleksander, Szyszka, Bartosz, Barter, Charlotte, Gandhi, Nirav, Hassell, Karen, Hitchin, Samantha, Kelsall, Jennett, Nagy, Eva, Nessa, Ashrafun, Whisker, Lisa, Yanni, Fady, Ali, Mahmoud, Arora, Deeksha, Hediwattege, Sunanda, Kumarasinghe, Navam, Rathore, Munir, Tennakoon, Athula, Ali Ahmad, Syed Mustafa, Bajomo, Oreoluwa, Nadira, Fahema, Celentano, Valerio, Griffiths, Ewen, Karri, Rama Santhosh, Mak, Jason Kei Chak, Pipe, Michelle, Bhatti, Muhammad Iqbal, Rabie, Mohamed, Boyle, Connor, Hamilton, David, Mihuna, Aishath, Ng, James Chean Khun, Nicholson, Gary, Oliwa, Agata, Pearson, Robert, Rose, Anna, Yong, Shun Qi, Boereboom, Catherine, Hanna, Michael, Walter, Catherine, Greensmith, Thomas Samuel, Mitchell, Rachel, Monaghan, Eimear, Crawford, James, Moug, Susan, Blackwell, James, Boyd-Carson, Hannah, Herrod, Philip, Al-Allaf, Omar, Beattie, Miriam, Bullock, Cameron, Burman, Shivang, Clark, Gemma, Flamey, Nicolas, Flannery, Oliver, Harding, Alexander, Kodiatt, Ben, Lawday, Samuel, Mahapatra, Shivani, Mukundu Nagesh, Navin, Ng, Michael, Rye, Dupinderjit, Yoong, Andrel, Clark, Laura, Deans, Chris, Edirisooriya, Monisha, Carrington, Emma Victoria, Wong, Tsz Lun Ernest, Yusuf, Baasil, Chamberlain, Carla, Duke, Kathryn, Kmiotek, Elizabeth, Botes, Azel, Condie, Natalie, Schrire, Timothy, Shah, Reena, Thomas-Jones, Iolo, Yates, Charlotte, Anthony, Natasha, Matthews, Edward, Sahnan, Kapil, Tankel, James, Tucker, Sally, Winter Beatty, Jasmine, Ziprin, Paul, Duggan, William, Kantartzi, Anastasia, Sridhar, Shruthi, Khaw, Rachel Alys, Srivastava, Prakhar, Underwood, Charlotte, Alves do Canto Brum, Homero, Chopra, Sharat, Davis, Laura, Hughes, Rebecca, Tulley, Joshua, Alberts, Justin, Athisayaraj, Thomas, Olugbemi, Mojolaoluwa, Ahmad, Kasim, Chan, Claudia, Chapman, Gavin, Fleming, Hannah, Fox, Benjamin, Grewar, Julia, Hulse, Kate, Rutherford, Duncan, Sinead, Mackay, Smith, Scott, Speake, Doug, Vaughan-Shaw, Peter G, Christodoulides, Natasha, Kudhail, Simrit, Welch, Matthew, Husaini, Syed Muhibullah, Lambracos, Simon, Anyanwu, Chikamuche, Suresh, Rishi, Thomas, Jimmy Scott, Gleeson, Elizabeth, Platoff, Rebecca, Saif, Areeba, Enumah, Zachary, Etchill, Eric, Gabre-Kidan, Alodia, Bernstein, Mitchell, Carrano, Francesco Maria, Connors, Joseph, Lynn, Patricio, Melis, Marcovalerio, Newman, Elliot, Foster, Deshka S, Perrone, Kenneth, Titan, Ashley, Ahmad, Sarwat, Bafford, Andrea Chao M D, Dal Molin, Marco, Hanna, Nader, Zafar, Syed Nabeel, Hemmila, Mark, Napolitano, Lena, Wong, Jane J, Chandler, Julia, Wood, Lauren, Wren, Sherry, Ottesen, Taylor, You, Lucia, Yu, Kristin, Arciénega Yañez, María Del Pilar, Ferreira Fernandes, Martin, González, Daniel, Cubas, Santiago, González, María Catalina, Zubiaurre, Vanessa, Demolin, Rodrigo, Giroff, Nicolas, Sciuto, Pablo, Campos, Maite, Rodríguez Cantera, Gabriela, Deepika, Garg, Simuchimba, Elliot, Bulaya, Anadi, Chibuye, Chali, Chirengendure, Bright, Kabale, Mary-Rose, Kabongo, Kizito, Munthali, James, Mweso, Oliver, Pikiti, Francis, Otieno, James, Lai, Log Tung, Blackman, Brighid, Richards, Sophie, Subramaniam, Suren, Karim, Rafid, Kok, Nathan, Lee, Yanni Dion, Ali, Shabina, Sinha, Aanjaneya, Corrigan, Robert, Barnes, Nicole, Wong, Florence, Dennis, Grace, Jedamzik, Julia, Phillips, Emil, Piette, Wivine, Van Hentenryck, Marie, Koco, Houenoukpo, Lawani, Souliath, Kassa, Mamo Woldu, Santos Bezerra, Tainá, Gribnev, Petar, Dimitrov, Dobromir, Krastev, Panche, Oum, Sovannarith, Bonghaseh, Divine Tim, Al Farsi, Maryam, Alsharqawi, Nourah, Acevedo, Veronica, Castillo Barbosa, Andrea Carolina, Giron, Felipe, Leon Rodriguez, Jimmy Paul, Kucan, Darko, Rosko, Damir, Barsic, Neven, Župan, Domagoj, Hegazi, Amgad, Truncíková, Vendula, Fryba, Vladimir, Mohamed, Mostafa, Sultan, Ahmed, Nagi, Ahmed, Rashad Temerik, Abdallah, Elshawy, Mohamed Elemam, Mahmoud, Moustafa Ibrahim, Omar, Shrouk, Anwar, Mohamed, Rageh, Tarek, Elmokadem, Aya, Gaballa, Khaled, Teppo, Sandra, Turunen, Antti, Pengermä, Pasi, Ballouhey, Quentin, Bergeat, Damien, Weyl, Ariane, Hain, Elisabeth, Gyedu, Adam, Yenli, Edwin, Osei-Poku, Dorcas, Rompou, Vaia-Aliki, Zoikas, Athanasios, Gaitanidis, Apostolos, Koukis, Georgios, Perivoliotis, Konstantinos, Tavlas, Panagiotis, Galanos-Demiris, Konstantinos, Zografos, George, Karavokyros, Ioannis, Xanthopoulou, Georgia, Iordanidou, Eirini, Ayau, Fernanda, Garcia, Allan, Damján, Pekli, Wason, Deepender, B L, Ashika, Rangganata, Ervandy, Kamath, Prerna, O'Connor, Donal B, Pinto, Margherita, Perrone, Fabrizio, Tropeano, Francesca Paola, Troilo, Francesca, Bossi, Daniela, Scala, Dario, Pulitanò, Lucrezia, Carella, Marcella, Pietrabissa, Andrea, Gori, Alice, Giraudo, Giorgio, De Simone, Veronica, Russo, Alfio Alessandro, Braccio, Bartolomeo, Al-Taher, Raed, Athamneh, Sarah, Parker, Andrea, Sawiee, Adnan, Kattia, Amina, Salem, Malik, Tababa, Osama, Shaeeb, Zuhour, Syminas, Vilius, Jurgaitis, Jonas, Damuleviciene, Gyte, Svagzdys, Saulius, Poskus, Tomas, Razafimanjato, Narindra Njarasoa Mihaja, Chieng Loo, Ling, Tiong, Ing Ching, Wan Muhmad, Wan Farahiyah, Vijeyan, Harinthiran, Li Ying, Teoh, Grech, Gabriella, Arrangoiz, Rodrigo, Jimenez Ley, Vania Brickelia, Arizpe, Daniel, Lagunes Lara, Elizabeth, Castro López, Elizabeth Victoria, Eaazim, Jose, Gordinou de Gouberville, Marije, Bastiaenen, Vivian, Rottier, Simone, Nahab, Fouad, Ji, Maria Yeonhee, Seyoji, Mohammed, Nwachukwu, Callistus, Emeghara, Okechukwu, Muhammed, Sayyid Egbunu, Idowu, Ayodeji, Sowemimo, Olamiposi, Ogundoyin, Olakayode, Akande, Oluwatosin, Lott, Alexander, Nadeem, Maliha, Laghari, Ahsan Ali, Loya, Asif, Mushtaq, Hassan, Abdullah, Muhammad Tariq, Abuhilal, Baseel, Atawneh, Mohammad, Hamdan, Hamdan, Alhabil, Belal, Srour, Abedelrahman, Mousa, Ibrahim, Da Silva Medina, Luis, Bartosiak, Katarzyna, Ferreira, Pedro, Francisco, Vítor, Lemos, Ricardo, Frutuoso, Luísa, Fernandes, Sara, Fonseca, Telma, Pereira, Jorge, Rachadell, Juan, Torre, Ana, Madeira Martins, Filipe, Carvalho, Ana Cristina, Rodrigues Ferreira, Joana, Ribeiro da Silva, Bruno, Devesa, Helena, Vieira, Ana, Mónica, Inês, Amaro, Margarida, Sousa, Diogo, Reia, Marta, Louro, João, Martins, Ana, Dominguez, Joaquina, Santos, Inês, Freitas Oliveira, Nuno Miguel, Pereira, José Carlos, Silva-Vaz, Pedro, Freire, Ligia, Escrevente, Ricardo, Negoita, Valentina Madalina, Shakhmatov, Dmitry, Nezerwa, Yves, Radulovic, Radosav, Obery, Gareth, Viljoen, Francois, Mendes, Tome, Suarez, Antonio, Moncada, Enrique, Fernandez-Hevia, Maria, Curtis Martínez, Carolina, Gil Garcia, Julia Maria, González Zunzarren, Mariana, Idris, Tarig, Eklöv, Karolina, Grahn, Oskar, Amin, Leila, Blomqvist, Malin, Ajani, Costanza, Kraus, Rebecca, Seeger, Nico, Willemin, Melissa, Rayya, Fadi, Ayash, Mohammad, Msouti, Raneem, Kannas, Israa, Abazid, Eias, Esper, Asil, Slim, Skander, Kavcar, Akil Serdar, Aytac, Erman, Dural, Ahmet Cem, Ilker, Ayse, Eray, Ismail Cem, Kurnaz, Eray, Altiner, Saygin, Tepe, Mustafa Deniz, Sahin, Can, Savli, Evrim, Innocent, Aryon, Babirye, Lilian, Diachenko, Andrii, Hordoskiy, Vladislav, Curry, Heather, Chau, Charlene Yat Che, Robertson, Harry, Mahmoud, Arin, Lennon, Hannah, Loi, Lynette, Kirkham, Emily, McCann, Cameron, Watts, Daniel, Gurung, Binay, Wilson, Michael, Tribedi, Thomas, Garofalo, Eleonora, Zahra, Baryab, MacDonald, Scott, Daniels, Ian, Ng, Nathan, Khosla, Shivun, Olivier, James, Yue, Sum Yu Pansy, Suresh, Gayathri, Wellington, Jack, Lorejo, Emmanuel, Mossaad, Mafdi, Crutcher, Madison, Alimi, Marjan, Baiu, Ioana, Abdou, Hossam, Conway, Alison, Peck, Connor, Perdomo Perez, Mauro Andres, Zulu, Stanley, Nakazwe, Mildred, Burger, Sule, Davies, Justine, Donaldson, Rachel, Ede, Chikwendu, Garden, O James, Lesetedi, Chiapo, Mabedi, Charles, Magill, Laura, Makinde Alakaloko, Felix, Makupe, Alex, Monahan, Mark, Mulira, Soloman, Muller, Elmi, Musowoyo, Jospeh, Olory-Togbe, Jean Léon, Roberts, Tracey, Smith, Martin, Tayler, Viki, Windsor, John, Yepez, Raul, Sundar, Sudha, Runigamugabo, Emmy, Verjee, Azmina, Chen, José, Daya, Leonid, El Aroussi, Nouhaila, Farina, Valeria, Gnintedeme Olivier, Tchianze, Gonzales Nacarino, Mauricio, Hammani, Aamr, Honjo, Sarah, Jacobs, Rebecca, Kimura, Hitomi, Nkoronko, Mugisha, Oscullo Yepez, Jasson Javier, Pin Hung, Wei, Raj, Ankit, Romani Pozo, Alina, Rommaneh, Muna, Sassamela Fabiano, Samuel Chimbioputo, Shiroma Gago, Camila Milagros, Srinivas, Abhishekh, Sung, Chia-Yen, Tai, Aswan, Valle Aranda, Yener Cristyell, Venturini, Sara, and Wilguens Lartigue, Jean
Subjects: Pediatrics, Colorectal cancer, IMPACT, Disease, Colorectal Neoplasm, 030204 cardiovascular system & hematology, Cancer, surgery, postoperative mortality, 0302 clinical medicine, Postoperative Complications, Global health, 030212 general & internal medicine, Prospective Studies, Prospective cohort study, General Medicine, DISEASES, Income, cancer surgery, Colorectal Neoplasms, Breast Neoplasm, Cohort study, Human, Adult, Developed Countrie, medicine.medical_specialty, Global surgery, General surgery, International multicentre study, Cancer surgery, Breast Neoplasms, Department of Error, NO, Developing Countrie, 03 medical and health sciences, Breast cancer, Stomach Neoplasms, medicine, Humans, Developing Countries, Neoplasm Staging, business.industry, Developed Countries, Odds ratio, CARE, medicine.disease, 3126 Surgery, anesthesiology, intensive care, radiology, Prospective Studie, Postoperative Complication, business
Abstract: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Background: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Methods: This was a multicentre, international prospective cohort study of consecutive adult patients undergoing surgery for primary breast, colorectal, or gastric cancer requiring a skin incision done under general or neuraxial anaesthesia. The primary outcome was death or major complication within 30 days of surgery. Multilevel logistic regression determined relationships within three-level nested models of patients within hospitals and countries. Hospital-level infrastructure effects were explored with three-way mediation analyses. This study was registered with ClinicalTrials.gov, NCT03471494. Findings: Between April 1, 2018, and Jan 31, 2019, we enrolled 15 958 patients from 428 hospitals in 82 countries (high income 9106 patients, 31 countries; upper-middle income 2721 patients, 23 countries; or lower-middle income 4131 patients, 28 countries). Patients in LMICs presented with more advanced disease compared with patients in high-income countries. 30-day mortality was higher for gastric cancer in low-income or lower-middle-income countries (adjusted odds ratio 3·72, 95% CI 1·70–8·16) and for colorectal cancer in low-income or lower-middle-income countries (4·59, 2·39–8·80) and upper-middle-income countries (2·06, 1·11–3·83). No difference in 30-day mortality was seen in breast cancer. The proportion of patients who died after a major complication was greatest in low-income or lower-middle-income countries (6·15, 3·26–11·59) and upper-middle-income countries (3·89, 2·08–7·29). Postoperative death after complications was partly explained by patient factors (60%) and partly by hospital or country (40%). The absence of consistently available postoperative care facilities was associated with seven to 10 more deaths per 100 major complications in LMICs. Cancer stage alone explained little of the early variation in mortality or postoperative complications. Interpretation: Higher levels of mortality after cancer surgery in LMICs was not fully explained by later presentation of disease. The capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Early death after cancer surgery might be reduced by policies focusing on strengthening perioperative care systems to detect and intervene in common complications. Funding: National Institute for Health Research Global Health Research Unit.
Published: 2021
Full Text: View/download PDF

24. Quantitative T1ρ MRI of the Head and Neck Discriminates Carcinoma and Benign Hyperplasia in the Nasopharynx

Author: Frankie Mo, Thierry Blu, Ann D. King, Sahrish Qamar, B. Jiang, E.P. Hui, Q. Chan, D.M.C. Poon, Brigette B.Y. Ma, Qi-Yong Ai, Weitian Chen, W.K.J. Lam, K.C.A. Chan, and T.Y. So
Subjects: Adult, Male, medicine.medical_specialty, Normal tissue, Statistics, Nonparametric, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Nasopharynx, Image Interpretation, Computer-Assisted, Carcinoma, Medicine, Humans, Radiology, Nuclear Medicine and imaging, Benign hyperplasia, Head and neck, Head & Neck, Aged, Aged, 80 and over, Hyperplasia, Nasopharyngeal Carcinoma, Receiver operating characteristic analysis, business.industry, Area under the curve, Nasopharyngeal Neoplasms, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Nasopharyngeal carcinoma, ROC Curve, Mann–Whitney U test, Female, Neurology (clinical), Radiology, business, Head, 030217 neurology & neurosurgery, Neck
Abstract: BACKGROUND AND PURPOSE: T1ρ imaging is a new quantitative MR imaging pulse sequence with the potential to discriminate between malignant and benign tissue. In this study, we evaluated the capability of T1ρ imaging to characterize tissue by applying T1ρ imaging to malignant and benign tissue in the nasopharynx and to normal tissue in the head and neck. MATERIALS AND METHODS: Participants with undifferentiated nasopharyngeal carcinoma and benign hyperplasia of the nasopharynx prospectively underwent T1ρ imaging. T1ρ measurements obtained from the histogram analysis for nasopharyngeal carcinoma in 43 participants were compared with those for benign hyperplasia and for normal tissue (brain, muscle, and parotid glands) in 41 participants using the Mann-Whitney U test. The area under the curve of significant T1ρ measurements was calculated and compared using receiver operating characteristic analysis and the Delong test, respectively. A P
Published: 2020

25. Trial Risk Assessment Based on Total Utility of Generalized Fuzzy Numbers

Author: Qi Yong, Tao He, and Chengying Gao
Subjects: Business process, business.industry, Computer science, Fuzzy set, Machine learning, computer.software_genre, Fuzzy logic, Set (abstract data type), Ranking, Fuzzy number, Artificial intelligence, Risk assessment, business, computer, Risk management
Abstract: In this paper, we propose a risk assessment method based on total utility of generalized fuzzy numbers (GFNs) towards trial process management. Firstly, the possible risk events in trial business process are sorted out according to trial experience and expertise of law experts. Then the occurrence probability, impact degree and repairability are used as evaluation factors and we transform corresponding evaluation descriptions into form of GFNs. Then multiple experts’ evaluations will be aggregated to get fuzzy risk value. Finally, we de-fuzzy the fuzzy risk value by calculating total utility of GFNs, achieving the purpose of risk assessment. Proposed method mainly solves two core problems. The first is that we use GFNs to express and calculate fuzzy risks after analyzing risk events, avoiding subjectivity and uncertainty in traditional risk assessment methods. The second is that we de-fuzzy the fuzzy risk value by calculating total utility of GFNs based on Maximum and Minimum Set, obtaining exact risk value as the ranking basis for accurate risk assessment. We have applied proposed method into real trial cases to realize the evaluation of trial risks for judicial business, and the results demonstrate accuracy, effectiveness and applicability of proposed method in trial scenes.
Published: 2020
Full Text: View/download PDF

26. RAPOT: A Fine-Grained Risk Assessment Framework on Public Opinion for Trial Management

Author: Yuze Luo, Weina Jiang, Ning Liu, and Qi Yong
Subjects: Knowledge management, business.industry, Trial management, Computer science, Similarity (psychology), Analytic hierarchy process, Fuzzy number, Social media, business, Public opinion, Risk assessment, Risk management
Abstract: Since public opinion from social media has a growing impact and supervision on the trial, risk assessment on public opinion is increasingly important in the refinement of trial management. However, due to insufficient historical training data, lack of high accuracy in risk prediction and so on, existing methods cannot be effectively applied to risk assessment on public opinion. To address this, we propose a fine-grained risk assessment framework on public opinion with fuzzy numbers. Firstly, we establish a multilayer indicator model for assessing the Risk of Public Opinion (POR), in the model, the indicators are defined and allocated priorities based on AHP. Secondly, we design a public opinion analysis module for indicator evaluation, which includes analysis in public opinion sentiment, in hot search and in social media coverage. Specially, the public opinion sentiment is calculated by aggregating sentiments of topic clusters, which is accurate and reasonable. Finally, the fuzzy number similarity is employed to determine the level of POR in the nine-levels risk system. Experimental results validate the efficiency of our framework when assessing the POR.
Published: 2020
Full Text: View/download PDF

27. Test-retest repeatability of T1rho (T1ρ) MR imaging in the head and neck

Author: Ann D. King, Tiffany Y. So, Huimin Zhang, Baiyan Jiang, Weitian Chen, Sahrish Qamar, Frankie Mo, and Qi-Yong Ai
Subjects: Normal tissue, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Tongue, medicine, Humans, Parotid Gland, Radiology, Nuclear Medicine and imaging, Head and neck, business.industry, Head and neck cancer, Reproducibility of Results, General Medicine, Repeatability, medicine.disease, Mr imaging, Magnetic Resonance Imaging, Parotid gland, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Nuclear medicine, business, Head, Pterygoid Muscles, Neck
Abstract: Purpose T1rho imaging is a new quantitative MRI sequence for head and neck cancer and the repeatability for this region is unknown. This study aimed to evaluate the repeatability of quantitative T1rho imaging in the head and neck. Materials and methods T1rho imaging of the head and neck was prospectively performed in 15 healthy participants on three occasions. Scan 1 and 2 were performed with a time interval of 30 minutes (intra-session) and scan 3 was performed 14 days later (inter-session). T1rho values for normal tissues (parotid glands, palatine tonsils, pterygoid muscles, and tongue) were obtained on each scan. Intra-class coefficients (ICCs), within-subject coefficient of variances (wCoVs), and repeatability coefficient (RCs) of the intra-session scan (scan 1 vs 2) and inter-session scan (scan 1 vs 3) for the normal tissues were calculated. Results The ICCs of T1rho values for normal tissues were almost perfect (0.83–0.97) for intra-session scans and were substantial (0.71–0.80) for inter-session scans. The wCoVs showed a small range (2.46%–3.30%) for intra-session scans, and slightly greater range (3.27%–6.51%) for inter-session scan. The greatest and lowest wCoVs of T1rho were found in the parotid gland and muscles, respectively. The T1rho RCs varied for all tissues between intra- and inter- sessions, and the greatest RC of 10.07 msec was observed for parotid gland on inter-session scan. Conclusion T1rho imaging is a repeatable quantitative MRI sequence in the head and neck but variances of T1rho values among tissues should be take into account during analysis.
Published: 2020

28. Non contrast-enhanced imaging as a replacement for contrast-enhanced imaging for MRI automatic delineation of nasopharyngeal carcinoma

Author: Frankie Mo, Lun M. Wong, Darren M.C. Poon, Qi-Yong H. Ai, and Ann D. King
Subjects: Surface distance, Wilcoxon signed-rank test, Nasopharyngeal carcinoma, business.industry, media_common.quotation_subject, medicine, Contrast (vision), Non contrast enhanced, medicine.disease, Nuclear medicine, business, Primary tumor, media_common
Abstract: Convolutional neural networks (CNNs) show potential for delineating cancers on contrast-enhanced MRI. However, there is world-wide interest in reducing the administration of MRI contrast agents. We aim to determine if CNNs can automatically delineate primary nasopharyngeal carcinoma (NPC) using the non contrast-enhanced (NE) T2-weighted fat-suppressed T1-weighted (CE-T1W) sequence. We retrospectively analyzed primary tumors in 201 patients with NPC. Six patients were randomly sampled as the training-validation group to avoid over-fitting, and the remaining 195 patients underwent validation analysis. We trained and tested a well-established two-dimensional CNN, U-Net, for tumor delineation on CE-T1W and T2W-FS sequences. CNN-derived delineations on CE-T1W and T2W-FS were compared with manual delineation using the dice similarity coefficient (DSC) and average surface distance (ASD). Differences in DSC and ASD of CNN-derived delineations between CE-T1W and T2W-FS sequences were compared using the Wilcoxon rank test. CNN-derived primary tumor volumes (PTVs) on CE-T1W and T2W-FS were also compared with manual delineation using the Wilcoxon rank test. The CNN’s tumor delineation performance on CE-T1W and T2W-FS showed no differences in DSC (0.71±0.09 vs. 0.71±0.09, p=0.50) and ASD (0.21±0.48cm vs. 0.17±0.19cm, p=0.34). The CNN-derived PTVs were larger than those from manual delineation on both CE-T1W (26.3±25.5cm3 vs. 23.5±26.6cm3, p3 vs. 23.2 ± 26.2 cm3, p
Published: 2020
Full Text: View/download PDF

29. Trial Risk Index Model and Assessment System Based on Extended TOPSIS Method

Author: Ning Liu, Qi Yong, and Haoran Mo
Subjects: Risk analysis (engineering), business.industry, Computer science, Similarity (psychology), Analytic hierarchy process, TOPSIS, Ideal solution, business, Risk assessment, Risk management, Preference, Data modeling
Abstract: As the trial management becomes more refined, the trial risk assessment has raised increasing concerns. In this paper, we propose a trial risk assessment system which aims to quantitatively model the trial risks according to the qualitative materials in the judicial database. To deal with this problem, the system first identifies the trial risks and models the risk indexes based on Analytic Hierarchy Process method and then translates the textual information into quantitative data. To jointly consider the opinions from multiple legal experts, which evaluate the impacts of the risk indexes, we introduce an extended Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to adapt to this sophisticated scenario. Our trial risk assessment system is also designed based on the proposed extended TOPSIS method. We apply the system to real judicial cases and compare with the advanced approaches, and demonstrate its superior applicability of trial risk assessment and warning.
Published: 2020
Full Text: View/download PDF

30. G-Protein-gated Inwardly-Rectifying K+ Channels and Large-conductance Calcium-Activated K+ Channels Are Involved in C-Type Natriuretic Peptide-Mediated Vasodilation in Human Arteries

Author: Li Chen, Minghui Pang, Qi-Yong Li, and Min-Jia Zhu
Subjects: urogenital system, medicine.drug_class, G protein, business.industry, Vasodilation, General Medicine, 030204 cardiovascular system & hematology, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, chemistry, Natriuretic peptide, medicine, Biophysics, 030212 general & internal medicine, G protein-coupled inwardly-rectifying potassium channel, Patch clamp, Paxilline, Cardiology and Cardiovascular Medicine, business, Ion channel, Myograph
Abstract: C-type natriuretic peptide (CNP) hyperpolarizes and relaxes the smooth muscle of blood vessels. We investigated whether G-protein-gated inwardly-rectifying K+ channels (GIRK) and large-conductance calcium-activated K+ channels (BKCa channels) were involved in CNP-evoked vasodilatation in human arteries. Isometric tension in human gastroepiploic arteries was measured using a wire myograph. Ion channel currents were recorded by the whole-cell patch-clamp technique. The concentration-dependent vasodilation induced by CNP was reduced significantly after inhibition of GIRK channels (by tertiapin-Q) or of BKCa channel (by paxilline). Immunochemical experiments showed that GIRK3 and GIRK4 subunits were expressed in human arteries. CNP also strongly increased the current density of GIRK and BKCa channels in human arterial smooth muscles. This suggested that the GIRK channel was functionally expressed in smooth muscle and vasodilation action was produced by CNP partly by opening the GIRK and BKCa channels in the human artery.
Published: 2019
Full Text: View/download PDF

31. Extranodal extension is a criterion for poor outcome in patients with metastatic nodes from cancer of the nasopharynx

Author: Macy Tong, Qi-Yong Ai, Ann D. King, Brigette B.Y. Ma, Edwin P. Hui, Anil T. Ahuja, Frankie Mo, Anthony T.C. Chan, and Darren M.C. Poon
Subjects: Adult, Male, Cancer Research, medicine.medical_specialty, Gastroenterology, Disease-Free Survival, Hypopharyngeal Carcinoma, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Humans, Neoplasm Invasiveness, Stage (cooking), 030223 otorhinolaryngology, Aged, Neoplasm Staging, Proportional Hazards Models, Retrospective Studies, Aged, 80 and over, Extranodal Extension, Nasopharyngeal Carcinoma, medicine.diagnostic_test, business.industry, Proportional hazards model, Hazard ratio, Cancer, Nasopharyngeal Neoplasms, Magnetic resonance imaging, Middle Aged, Prognosis, medicine.disease, Magnetic Resonance Imaging, Tumor Burden, Survival Rate, Oncology, Nasopharyngeal carcinoma, Lymphatic Metastasis, 030220 oncology & carcinogenesis, Female, Lymph Nodes, Oral Surgery, business, Follow-Up Studies
Abstract: Extranodal extension (ENE) is a criterion for advanced nodal staging of oropharyngeal and hypopharyngeal carcinoma. Our aim was to determine if ENE should be a staging criterion for nasopharyngeal carcinoma (NPC).MRI of 546 NPC patients were reviewed retrospectively and in 404/546 (74.0%) with metastatic nodes, the nodes were assessed for ENE (grade 0 = absent; grade 1 = infiltration of surrounding fat; grade 2 = infiltration of muscle/skin), size (total volume), site (unilateral/bilateral and upper/lower neck) and necrosis. Associations between nodal features and regional relapse free survival (RRFS), distant metastases free survival (DMFS) and overall survival (OS) were assessed using cox regression. Differences of survival rates were compared using log-rank test. A p-value of 0.05 indicates statistical significance.ENE grade was the only determinant of RRFS (p = 0.014) and only independent determinant of DMFS (p = 0.003) and OS (p 0.001). Grade 2 ENE was associated with significantly poorer RRFS, DMFS and OS compared to grade 0 and 1 (p 0.05). Addition of grade 2 ENE to N1 and N2 disease showed similar poor RRFS, DMFS and OS to N3 disease (p 0.05). Compared to the current stage N3 disease, inclusion of grade 2 ENE increased the number of N3 patients from 53/546 (9.7%) to 82/546 (15.0%) with similar hazard ratios for DMFS (6.855 and 7.125, respectively) and OS (3.614 and 4.085, respectively).Grade 2 ENE (into muscle and/or skin and/or salivary glands) is an independent indicator of poor outcome and may be considered as a new criterion for N3 nodal disease in NPC.
Published: 2019
Full Text: View/download PDF

32. Intravoxel incoherent motion diffusion-weighted imaging for discrimination of benign and malignant retropharyngeal nodes

Author: Ann D. King, Sahrish Qamar, Tiffany Y. So, K.C. Allen Chan, Edwin P. Hui, Frankie Mo, Darren M.C. Poon, W K Jacky Lam, and Qi-Yong H. Ai
Subjects: Adult, Male, Retropharyngeal nodes, Contrast Media, Sensitivity and Specificity, 030218 nuclear medicine & medical imaging, Diagnosis, Differential, 03 medical and health sciences, 0302 clinical medicine, Meglumine, Image Interpretation, Computer-Assisted, Organometallic Compounds, Medicine, Effective diffusion coefficient, Humans, Radiology, Nuclear Medicine and imaging, Head and neck, Intravoxel incoherent motion, Neuroradiology, Aged, Retrospective Studies, Nasopharyngeal Carcinoma, business.industry, Bayes Theorem, Middle Aged, medicine.disease, Diffusion Magnetic Resonance Imaging, Nasopharyngeal carcinoma, Lymphatic Metastasis, Mann–Whitney U test, Female, Neurology (clinical), Cardiology and Cardiovascular Medicine, Nuclear medicine, business, 030217 neurology & neurosurgery, Diffusion MRI
Abstract: Anatomical imaging criteria for the diagnosis of malignant head and neck nodes may not always be reliable. This study aimed to evaluate the diagnostic value of conventional diffusion-weighted imaging (DWI) and intravoxel incoherent motion (IVIM) DWI in discriminating benign and malignant metastatic retropharyngeal nodes (RPNs). IVIM DWI using 14 b-values was performed on RPNs of 30 patients with newly diagnosed metastatic nasopharyngeal carcinoma (NPC) and 30 patients with elevated plasma Epstein-Barr virus (EBV)-DNA without NPC who were part of an EBV-based NPC screening program. Histogram measurements of the two groups were compared for pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion volume fraction (f) and apparent diffusion coefficient (ADC) using the Mann-Whitney U test. Area under the curves (AUCs) of significant measurements were calculated from receiver-operating characteristics analysis and compared using the DeLong test. Compared with metastatic RPNs, benign RPNs had lower ADCmean (0.73 vs 0.82 × 10−3 mm2/s) and Dmean (0.60 vs 0.71 × 10−3 mm2/s) and a higher D*mean (35.21 vs 28.66 × 10−3 mm2/s) (all p
Published: 2020

33. Correlation between tumor glucose metabolism and multiparametric functional MRI (IVIM and R2*) metrics in cervical carcinoma: Evidence from integrated 18 F‐FDG PET/MR

Author: Lu Zaiming, Guo Qi-yong, Xin Jun, Bai Xiao‐Xi, Sun Hongzan, Chen Zhong‐Wei, and Zhang Li‐Ou
Subjects: Cervical cancer, education.field_of_study, business.industry, Population, Carbohydrate metabolism, medicine.disease, Spearman's rank correlation coefficient, 030218 nuclear medicine & medical imaging, Correlation, 03 medical and health sciences, 0302 clinical medicine, 030220 oncology & carcinogenesis, Linear regression, Medicine, Radiology, Nuclear Medicine and imaging, Stage (cooking), Nuclear medicine, business, education, Intravoxel incoherent motion
Abstract: BACKGROUND Multiparameter, multimodality 18 F-FDG PET/MRI holds great potential for the diagnosis of cervical cancer based on the correlation between tumor glucose metabolism and imaging parameters. PURPOSE To characterize the heterogeneity of tumor glucose metabolism by evaluating the correlation between 18 F-FDG uptake parameters and multiparametric functional MRI metrics in cervical carcinoma. STUDY TYPE Retrospective. POPULATION Fifty-four patients with cervical carcinoma. FIELD STRENGTH/SEQUENCE Hybrid PET/MR (3T), multi-b DWI, and R2* mapping. ASSESSMENT The maximum and mean standardized uptake values (SUVmax and SUVmean , respectively) from PET and functional MRI metrics (D, D*, f, and R2*) were obtained. Cervical carcinoma tissues also underwent HIF-1α, VEGF, and GLUT-1 immunohistochemical staining. STATISTICAL TESTS Single-factor Spearman rank and Pearson correlation analysis and multiple linear regression (MLR) analysis were applied. RESULTS R2*, D, and f have different degrees of correlation (moderate, weak, moderately strong correlation, respectively) with SUVmax and SUVmean (r = 0.530 and 0.527, and P
Published: 2018
Full Text: View/download PDF

34. Pancreatic Stiffness Quantified with MR Elastography: Relationship to Postoperative Pancreatic Fistula after Pancreaticoenteric Anastomosis

Author: Kevin J. Glaser, Yue Li, Richard L. Ehman, Qi-yong Guo, Yanqing Liu, Shengzhen Tao, Feng Gao, Ying Liu, and Yu Shi
Subjects: Male, medicine.medical_specialty, animal structures, Fistula, Lipomatosis, Anastomosis, digestive system, 030218 nuclear medicine & medical imaging, Pancreatic Fistula, 03 medical and health sciences, Postoperative Complications, 0302 clinical medicine, Atrophy, Predictive Value of Tests, Risk Factors, medicine, Humans, Radiology, Nuclear Medicine and imaging, Pancreas, Original Research, medicine.diagnostic_test, business.industry, Anastomosis, Surgical, Middle Aged, medicine.disease, body regions, Pancreatic fistula, 030220 oncology & carcinogenesis, Predictive value of tests, Preoperative Period, Elasticity Imaging Techniques, Female, Radiology, Elastography, business, Pancreatic stump
Abstract: PURPOSE: To describe the relationship between conventional magnetic resonance (MR) imaging parameters and MR elastography of the pancreas in association with pancreatic histologic features and occurrence of postoperative pancreatic fistula (POPF). MATERIALS AND METHODS: Patients who underwent preoperative MR imaging (MR elastography and diffusion-, T1-, and T2-weighted imaging) followed by pancreatectomy with pancreaticoenteric anastomosis were included. The relationships between preoperative MR imaging parameters, demographic data, and intraoperative factors with POPF risk were analyzed with logistic regression analyses. The correlation of MR imaging parameters with histologic characteristics was evaluated with multivariate regression analysis. RESULTS: A total of 112 patients (64 men, 48 women; median age, 58 years) were evaluated. Forty-two patients (37.5%) developed POPF and 20 (17.9%) developed high-grade POPF (grades B and C). Lower pancreatic stiffness (≤1.43 kPa; odds ratio [OR], 9.196; 95% confidence interval [CI]: 1.92, 43.98), nondilated main pancreatic duct (MPD) diameter (
Published: 2018
Full Text: View/download PDF

35. Staging nodal metastases in nasopharyngeal carcinoma: which method should be used to measure nodal dimension on MRI?

Author: F.K.F. Mo, Qi-Yong Ai, Kunwar S.S. Bhatia, Brigette B.Y. Ma, M.K.M. Kam, Ann D. King, D.M.C. Poon, and Benjamin King Hong Law
Subjects: Adult, Male, Nasopharyngeal neoplasm, 030218 nuclear medicine & medical imaging, Correlation, Young Adult, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Aged, Neoplasm Staging, Retrospective Studies, Aged, 80 and over, Nasopharyngeal Carcinoma, medicine.diagnostic_test, business.industry, Proportional hazards model, Reproducibility of Results, Nasopharyngeal Neoplasms, Magnetic resonance imaging, General Medicine, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Transverse plane, Nasopharyngeal carcinoma, Lymphatic Metastasis, 030220 oncology & carcinogenesis, Coronal plane, Female, Lymph Nodes, Nuclear medicine, business, NODAL, Neck, Follow-Up Studies
Abstract: To investigate four methods to measure the maximum dimension (MD) of metastatic neck nodes and correlate with clinical outcome in nasopharyngeal carcinoma (NPC).Magnetic resonance imaging (MRI) examinations of 712 NPC patients were analysed. MD measurements using methods 1, 2, 3, and 4 were obtained from a single node in the axial plane; a single node in the axial/coronal plane; a single and/or confluent nodes in the axial/coronal plane; and a single and/or confluent and/or contiguous nodes in the axial/coronal plane, respectively. MDs obtained from the four methods were correlated with nodal volume (NV) using Pearson's correlation test. MDs obtained from the four methods, T and N stages, age, gender, and treatment were correlated with overall survival (OS), disease-specific survival (DSS), distant metastases free survival (DMFS), and regional relapse-free survival (RRFS) using cox regression.Method 4 (R: 0.84) had the strongest correlation with NV followed by method 3 (R: 0.77), method 2 (R: 0.70) and method 1(R: 0.69). Method 4 was the only independent nodal measurement of OS, DSS, and DMFS (p-values = 0.008,0.001 and0.001, respectively). None of the MD methods was an independent measurement of RRFS.The best method to obtain the MD for staging incorporates not only single and confluent, but also contiguous metastatic nodes measured in the plane with the MD.
Published: 2018
Full Text: View/download PDF

36. Quantitative assessment of hepatic fibrosis in chronic hepatitis B and C: T1 mapping on Gd-EOB-DTPA-enhanced liver magnetic resonance imaging

Author: Qi-Yong Guo, Shen Pan, and Xiao-Qi Wang
Subjects: Adult, Gadolinium DTPA, Liver Cirrhosis, Male, Pathology, medicine.medical_specialty, Liver fibrosis, Clinical Trials Study, Gd-EOB-DTPA, Contrast Media, Liver function, Magnetic resonance imaging relative enhancement, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Hepatitis B, Chronic, Chronic hepatitis, medicine, Quantitative assessment, Humans, Prospective Studies, medicine.diagnostic_test, business.industry, Look locker, Gastroenterology, Magnetic resonance imaging, General Medicine, Hepatitis C, Chronic, Middle Aged, equipment and supplies, Look-Locker, Magnetic Resonance Imaging, Cross-Sectional Studies, Liver, ROC Curve, Hepatocyte fraction, 030211 gastroenterology & hepatology, Female, business, Hepatic fibrosis, human activities
Abstract: AIM To assess the accuracy of Look-Locker on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) for staging liver fibrosis in chronic hepatitis B/C (CHB/C). METHODS We prospectively included 109 patients with CHB or CHC who underwent a 3.0-Tesla MRI examination, including T1-weighted and Look-Locker sequences for T1 mapping. Hepatocyte fractions (HeF) and relaxation time reduction rate (RE) were measured for staging liver fibrosis. A receiver operating characteristic analysis using the area under the receiver operating characteristic curve (AUC) was used to compare the diagnostic performance in predicting liver fibrosis between HeF and RE. RESULTS A total of 73 patients had both pathological results and MRI information. The number of patients in each fibrosis stage was evaluated semiquantitatively according to the METAVIR scoring system: F0, n = 23 (31.5%); F1, n = 19 (26.0%); F2, n = 13 (17.8%); F3, n = 6 (8.2%), and F4, n = 12 (16.4%). HeF by EOB enhancement imaging was significantly correlated with fibrosis stage (r = -0.808, P < 0.05). AUC values for diagnosis of any (≥ F1), significant (≥ F2) or advanced (≥ F3) fibrosis, and cirrhosis (F4) using HeF were 0.837 (0.733-0.913), 0.890 (0.795-0.951), 0.957 (0.881-0.990), and 0.957 (0.882-0.991), respectively. HeF measurement was more accurate than use of RE in establishing liver fibrosis staging, suggesting that calculation of HeF is a superior noninvasive liver fibrosis staging method. CONCLUSION A T1 mapping-based HeF method is an efficient diagnostic tool for the staging of liver fibrosis.
Published: 2018

37. Sequential combination of multi-source satellite observations for separation of surface deformation associated with serial seismic events

Author: Qi Yong, Qian Xu, Xianwen Liu, Yijun Zhang, Guoxiang Liu, Qiang Chen, and Yinghui Yang
Subjects: Quake (natural phenomenon), Global and Planetary Change, 010504 meteorology & atmospheric sciences, business.industry, Geodetic datum, Management, Monitoring, Policy and Law, 010502 geochemistry & geophysics, Geodesy, 01 natural sciences, Interferometry, Interferometric synthetic aperture radar, Global Positioning System, Seismic moment, Computers in Earth Sciences, business, Aftershock, Geology, Seismology, Multi-source, 0105 earth and related environmental sciences, Earth-Surface Processes
Abstract: Single satellite geodetic technique has weakness for mapping sequence of ground deformation associated with serial seismic events, like InSAR with long revisiting period readily leading to mixed complex deformation signals from multiple events. It challenges the observation capability of single satellite geodetic technique for accurate recognition of individual surface deformation and earthquake model. The rapidly increasing availability of various satellite observations provides good solution for overcoming the issue. In this study, we explore a sequential combination of multiple overlapping datasets from ALOS/PALSAR, ENVISAT/ASAR and GPS observations to separate surface deformation associated with the 2011 Mw 9.0 Tohoku-Oki major quake and two strong aftershocks including the Mw 6.6 Iwaki and Mw 5.8 Ibaraki events. We first estimate the fault slip model of major shock with ASAR interferometry and GPS displacements as constraints. Due to the used PALSAR interferogram spanning the period of all the events, we then remove the surface deformation of major shock through forward calculated prediction thus obtaining PALSAR InSAR deformation associated with the two strong aftershocks. The inversion for source parameters of Iwaki aftershock is conducted using the refined PALSAR deformation considering that the higher magnitude Iwaki quake has dominant deformation contribution than the Ibaraki event. After removal of deformation component of Iwaki event, we determine the fault slip distribution of Ibaraki shock using the remained PALSAR InSAR deformation. Finally, the complete source models for the serial seismic events are clearly identified from the sequential combination of multi-source satellite observations, which suggest that the major quake is a predominant mega-thrust rupture, whereas the two aftershocks are normal faulting motion. The estimated seismic moment magnitude for the Tohoku-Oki, Iwaki and Ibaraki evens are Mw 9.0, Mw 6.85 and Mw 6.11, respectively.
Published: 2018
Full Text: View/download PDF

38. Fire resistance of two types of composite beams constrained by rigid joint

Author: Lyu Junli, Qi Yong, Qichao Chen, Li Rukai, Wang Zili, Zhu Jian, and Bai Sun
Subjects: Materials science, business.industry, Structural engineering, Flange, Span (engineering), Buckling, Slab, Physics::Accelerator Physics, Arch, Deformation (engineering), business, Joint (geology), Beam (structure), Civil and Structural Engineering
Abstract: To study the fire resistance of different types of composite beams in integral structures, transient state tests were performed on two-span composite beams (one span is a monolithic composite beam with a laminated slab and the other span is a composite beam with a cast-in-place slab) with rigid beam-to-column connections. The temperature distribution, displacement changes, and failure modes of the two types of composite beams were evaluated in tests mimicking the entire process of a real fire disaster. The following results were obtained in this study. Under the influence of fire, cracks of different patterns were formed on different types of composite beams. When the heating was stopped, the temperature of the steel beam experienced a sudden and sharp drop, whereas the temperature of the concrete slab rose within a short period of time. These behaviours cause the composite beam to undergo retraction in a reverse arch shape during deformation. Severe buckling occurred in the lower flange under the two ends of the steel beam as well as the web of the steel beam. During the test, the welds at both ends of the laminated-slab composite beam were cracked, whereas those at both ends of the composite beam with a cast-in-place slab remained undamaged. Finally, a method for calculating the axial force of the composite beam that considers the constraints at the beam ends is proposed in this study. The calculation results are in good agreement with the experimental test results.
Published: 2021
Full Text: View/download PDF

39. Prediction of distant metastases from nasopharyngeal carcinoma: Improved diagnostic performance of MRI using nodal volume in N1 and N2 stage disease

Author: Benjamin King Hong Law, Darren M.C. Poon, Qi-Yong Ai, Kunwar S.S. Bhatia, Michael K.M. Kam, Brigette B.Y. Ma, Frankie Mo, and Ann D. King
Subjects: Adult, Male, 0301 basic medicine, Cancer Research, Disease, Logistic regression, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Neoplasm Metastasis, Stage (cooking), Retrospective Studies, medicine.diagnostic_test, business.industry, Proportional hazards model, Head and neck cancer, Nasopharyngeal Neoplasms, Magnetic resonance imaging, Odds ratio, Middle Aged, Prognosis, medicine.disease, Magnetic Resonance Imaging, 030104 developmental biology, Oncology, Nasopharyngeal carcinoma, 030220 oncology & carcinogenesis, Female, Oral Surgery, business, Nuclear medicine
Abstract: Purpose To determine if the magnetic resonance imaging (MRI) of the head and neck can predict distant metastases (DM) from nasopharyngeal carcinoma (NPC). Methods and materials MRI examinations of 763 NPC patients were assessed for primary tumour stage (T), nodal stage (N), primary tumour volume (PTV) and total nodal volume (NV). The association between MRI and clinical parameters were examined in DM+ and DM− patients using logistic regression and for distant metastases free survival (DMFS) using cox regression. Optimum thresholds were assessed by receiver-operating characteristics analysis, and positive predictive value (PPV) and odds ratio (OR) calculated. Results Distant metastases were present in 181/763 NPC patients (23.7%). Higher N stage and NV were the independent predictors of DM (p 3 ) to the N stage improved the PPVs and ORs for DM in stage N1 (from 18.9% to 31.8% and 5.613 to 11.133 respectively) and stage N2 (from 40.4% to 60.8% and 16.189 to 36.979 respectively) but not in stage N3 (68.3% to 68.6% and 51.385 to 52.052 respectively). Conclusion MRI N stage and NV were independent predictors of DM and DMFS. The addition of NV in NPC patients with bulky N1 and N2 disease improved the ability of MRI to predict DM.
Published: 2017
Full Text: View/download PDF

40. Coseismic surface deformation of the 2014 Napa earthquake mapped by Sentinel-1A SAR and accuracy assessment with COSMO-SkyMed and GPS data as cross validation

Author: Yinghui Yang, Qi Yong, Yijun Zhang, Qiang Chen, Guoxiang Liu, and Qian Xu
Subjects: Synthetic aperture radar, 010504 meteorology & atmospheric sciences, Pixel, business.industry, Deformation (meteorology), 010502 geochemistry & geophysics, Geodesy, 01 natural sciences, Computer Science Applications, law.invention, Azimuth, Geography, law, Interferometric synthetic aperture radar, Global Positioning System, General Earth and Planetary Sciences, Satellite, Radar, business, Software, 0105 earth and related environmental sciences, Remote sensing
Abstract: The new land observation satellite Sentinel-1A was launched on 25 April 2014 with a C-band synthetic aperture radar (SAR) sensor, which has the significant enhancements in terms of revisit period and high resolution. The Mw 6.1 Napa, California earthquake occurring on 24 August 2014, almost 4 months after the launch, is the first moderate earthquake imaged by the Sentinel-1A. This provides an opportunity to map the coseismic deformation of the event and evaluate the potential of Sentinel-1A SAR for earthquake study. Two techniques including the interferometric SAR (InSAR) and pixel offset-tracking (PO) are, respectively, employed to map the surface deformation along the radar line of sight (LOS), azimuth and slant-range directions. The cross comparison between Sentinel-1A InSAR LOS deformation and GPS observations indicates good agreement with an accuracy of ∼2.6 mm. We further estimate the earthquake source model with the external COSMO-SkyMed InSAR and GPS data as constraints, and forward calcul...
Published: 2017
Full Text: View/download PDF

41. Early diagnosis and severity assessment of acute pancreatitis (AP) using MR elastography (MRE) with spin-echo echo-planar imaging

Author: Jiahui Li, Qi-yong Guo, Yu Shi, Feng Gao, Qiu-ju Li, Yanqing Liu, and Ying Liu
Subjects: Echo-planar imaging, medicine.medical_specialty, medicine.diagnostic_test, business.industry, Computed tomography, medicine.disease, 030218 nuclear medicine & medical imaging, Magnetic resonance elastography, 03 medical and health sciences, Severity assessment, 0302 clinical medicine, medicine, Acute pancreatitis, 030211 gastroenterology & hepatology, Radiology, Nuclear Medicine and imaging, Radiology, Elastography, Stage (cooking), Prospective cohort study, business
Abstract: PURPOSE To evaluate the accuracy of magnetic resonance elastography (MRE) in comparison to contrast-enhanced computed tomography (CE-CT) for early diagnosis and prediction of severity in acute pancreatitis (AP). MATERIALS AND METHODS This cross-sectional prospective study included 76 patients with suspected AP who underwent both CE-CT and 3.0T MRE within 24 hours of hospital admission. Pancreatic stiffness, CT severity index (CTSI), Acute Physiology and Chronic Health Evaluation (APACHE)-II, and Bedside Index for Severity in AP (BISAP) scores were comparatively evaluated using data from the first 24 hours of admission, and diagnosis and severity of AP were confirmed according to the revised Atlanta Classification (2012). The accuracy of MRE for predicting disease severity was compared with that of CE-CT and the clinical scoring systems using area under the receiver-operating curve (AUC) analysis. RESULTS AP was confirmed in 56/76 patients (73.7%). Pancreatic stiffness values of >1.47 kPa showed significantly better diagnostic performance than CE-CT (AUC: 0.993 vs. 0.818, P 2.47 kPa was comparable to that of the CTSI, APACHE-II and BISAP scores for predicting severe AP (accuracy = 85.5%, 75.0%, 88.2%, and 78.9%, respectively). The pairwise comparisons were not significant after Bonferroni correction (P < 0.008 [0.05/6]), with P values of 0.008 (MRE vs. CTSI), 0.823 (MRE vs. APACHE-II) and 0.414 (MRE vs. BISAP). CONCLUSION Early MRE is a useful, noninvasive method for both diagnosis and early severity assessment of AP. We recommend MRE at hospital admission for initial evaluation of AP. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1311-1319.
Published: 2017
Full Text: View/download PDF

42. Pre-treatment intravoxel incoherent motion diffusion-weighted imaging predicts treatment outcome in nasopharyngeal carcinoma

Author: Tiffany Y. So, Macy Tong, Ann D. King, Darren M.C. Poon, Brigette B.Y. Ma, Weitian Chen, Frankie Mo, Sahrish Qamar, Edwin P. Hui, Qi-Yong H. Ai, Yi-Xiang J. Wang, David K.W. Yeung, and Jing Yuan
Subjects: Adult, Male, Multivariate statistics, Multivariate analysis, Disease-Free Survival, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Motion, Young Adult, 0302 clinical medicine, medicine, Effective diffusion coefficient, Humans, Radiology, Nuclear Medicine and imaging, Intravoxel incoherent motion, Aged, Nasopharyngeal Carcinoma, business.industry, Proportional hazards model, Confounding, Reproducibility of Results, Nasopharyngeal Neoplasms, General Medicine, Middle Aged, medicine.disease, Diffusion Magnetic Resonance Imaging, Treatment Outcome, Nasopharyngeal carcinoma, 030220 oncology & carcinogenesis, Area Under Curve, Female, business, Nuclear medicine, Diffusion MRI, Follow-Up Studies
Abstract: Purpose To evaluate whether pre-treatment intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) can predict treatment outcome after 2 years in patients with nasopharyngeal carcinoma (NPC). Method One hundred and sixty-one patients with newly diagnosed NPC underwent pre-treatment IVIM-DWI. Univariate Cox regression analysis was performed to evaluate the correlation of the mean values of the pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction and apparent diffusion coefficient with local relapse-free survival (LRFS), regional relapse-free survival (RRFS), distant metastases-free survival (DMFS) and disease-free survival (DFS). Significant diffusion parameters, together with staging, age, gender and treatment as confounding factors, were added into a multivariate model. The area under the curves (AUCs) of significant parameters for disease relapse were compared using the Delong test. Results Disease relapse occurred in 30 % of the patients at a median follow-up time of 52.1 months. The multivariate analysis showed that high D and T-staging were correlated with poor LRFS (p = 0.042 and 0.020, respectively) and poor DFS (p = 0.023 and 0.001, respectively); low D* and high T-staging with poor RRFS (p = 0.020 and 0.033, respectively); and high N-staging with poor DMFS (p = 0.006). D with the optimal threshold of ≥0.68 × 10−3 mm2/s and T-staging showed similar AUCs (AUC = 0.614 and 0.651, respectively; p = 0.493) for predicting disease relapse. Conclusion High D and low D* were predictors of poor locoregional outcome but none of the diffusion parameters predicted DMFS in NPC.
Published: 2020

43. Deep residual nets model for staging liver fibrosis on plain CT images

Author: Rongguo Zhang, Xing Cui, Qi-yong Guo, Bing Yu, Xi Tian, and Qiuju Li
Subjects: Adult, Liver Cirrhosis, Male, medicine.medical_specialty, Cirrhosis, Biopsy, 0206 medical engineering, Biomedical Engineering, Health Informatics, 02 engineering and technology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Deep Learning, Fibrosis, medicine, Humans, Radiology, Nuclear Medicine and imaging, Retrospective Studies, medicine.diagnostic_test, Receiver operating characteristic, business.industry, Retrospective cohort study, General Medicine, Gold standard (test), Middle Aged, medicine.disease, 020601 biomedical engineering, Computer Graphics and Computer-Aided Design, Computer Science Applications, Liver, Sample size determination, Liver biopsy, Disease Progression, Surgery, Female, Computer Vision and Pattern Recognition, Radiology, Neural Networks, Computer, Liver cancer, business, Tomography, X-Ray Computed
Abstract: The early diagnosis of liver fibrosis is crucial for the prevention of liver cirrhosis and liver cancer. As gold standard for staging liver fibrosis, liver biopsy is an invasive procedure that carries the risk of serious complications. The aim of this study was to evaluate the performance of the residual neural network (ResNet), a non-invasive methods, for staging liver fibrosis using plain CT images. This retrospective study involved 347 patients subjected to liver CT scanning and liver biopsy. For each patient, we selected three axial images adjacent to the puncture location in the eighth or ninth inter-space on the right side. After processing and enhancement (rotation, translation, and amplification), these images were used as input data for the ResNet model. The model used a fivefold cross-validation method. In each fold, the images of approximately 80% of the total sample size (278 patients) were used for training the ResNet model, the other 20% (69 patients) were used for testing the trained network, with the liver biopsy pathology results as gold standard. The proportion of patients in each fibrosis stage was equal for training and test groups. The final result was the mean of the fivefold cross-validation in the test group. The performance of the ResNet model was evaluated for the test group by receiver operating characteristic (ROC) analysis. For the ResNet model, the area under the ROC curve (AUC) for assessing cirrhosis (F4), advanced fibrosis (F3 or higher), significant fibrosis (F2 or higher), and mild fibrosis (F1 or higher) was 0.97, 0.94, 0.90, and 0.91, respectively. The ResNet model analysis of plain CT images exhibited high diagnostic efficiency for liver fibrosis staging. As a convenient, fast, and economical non-invasive diagnostic method, the ResNet model can be used to assist radiologists and clinicians in liver fibrosis evaluations.
Published: 2020

44. Alpha-fetoprotein and 18F-FDG standard uptake value predict tumor recurrence after liver transplantation for hepatocellular carcinoma with portal vein tumor thrombosis: Preliminary experience

Author: Li Zhuang, Jan Lerut, Xiao Xu, Fangzhou Luo, Qi-Yong Li, Shusen Zheng, Zhe Yang, Shuo Wang, UCL - SSS/IREC - Institut de recherche expérimentale et clinique, and UCL - (SLuc) Service de chirurgie et transplantation abdominale
Subjects: medicine.medical_specialty, Hepatocellular carcinoma, medicine.medical_treatment, Standardized uptake value, Liver transplantation, Gastroenterology, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Contraindication, Hepatology, medicine.diagnostic_test, business.industry, Portal vein tumor thrombosis, medicine.disease, Thrombosis, Positron emission tomography, 030220 oncology & carcinogenesis, Alpha-fetoprotein, Standard uptake value, Biomarker (medicine), 030211 gastroenterology & hepatology, business
Abstract: BACKGROUND: Portal vein tumor thrombosis (PVTT) is regarded as a contraindication for liver transplantation (LT) in hepatocellular carcinoma (HCC). However, some of these patients may have a favorable prognosis after LT. In this study, we evaluated the biological behavior of HCC with PVTT using tumor biomarker (alpha-fetoprotein, AFP) and 18F-FDG positron emission tomography (tumor standard uptake value) to identify a subset of patients who may be suitable for LT. METHODS: Seventy-five HCC-PVTT liver recipients transplanted during February 2016 and June 2018 were analyzed. Different pre-transplant prognostic factors were identified by univariate and multivariate analyses. PVTT status was identified following Vp classification (Vp1-Vp4). RESULTS: Three-year recurrence-free survival and overall survival rates were 40% and 65.4% in Vp2-Vp3 PVTT patients, 21.4% and 30.6% in Vp4 PVTT patients (P < 0.05). Total tumor diameter >8 cm, pre-transplant AFP level >1000 ng/mL and intrahepatic tumor maximal standard uptake value (SUVmax-tumor >5) were independent risk factors for HCC recurrence and overall survival after LT in Vp2-3 PVTT patients. Low risk patients were defined as total tumor diameter ≤8 cm; or if total tumor diameter more than 8 cm, with both pre-transplant AFP level less than 1000 ng/mL and intrahepatic tumor SUVmax less than 5, simultaneously. Twenty-two Vp2-3 PVTT HCC patients (46.8%) were identified as low risk patients, and their 3-year recurrence-free and overall survival rates were 67.6% and 95.2%, respectively. CONCLUSIONS: Patients with segmental or lobar PVTT and biologically favorable tumors defined by AFP and 18F-FDG SUVmax might be suitable for LT.
Published: 2020

45. Private Cloud Storage Technology and Platform Security Analysis Based on Cloud Computing and Intelligent System

Author: Qi Yong and Chang Jian
Subjects: Security analysis, business.industry, Computer science, Big data, Diversification (finance), Intelligent decision support system, Data security, Cloud computing, Computer security, computer.software_genre, Risk assessment, business, Cloud storage, computer
Abstract: Cloud computing provides storage and computing platform for the diversification of mass data, and data mining technology such as distributed computing can also enhance the ability to analyze and judge trends in data. Under the background of the private cloud, the definition of the data security risk assessment index system is basically consistent. Aiming at the potential threat and attack mode in the current big data environment, we carry out the evaluation and analysis of the security risk. In this paper, a method of building a data security risk assessment index system is proposed. It is built under the background of private cloud, and the data is optimized. At the same time, it effectively constructs the equivalent weight of data security risk, and gives an analytic expression of data security risk assessment.
Published: 2019
Full Text: View/download PDF

46. Clinical value of DPOC for detecting and removing residual common bile duct stones (video)

Author: Xiao-Qin Chen, Xiong-Chang Liu, Qi-Yong Zhang, Tian-Rang Liu, and Jun-Jie Yang
Subjects: Male, Residual stones, medicine.medical_specialty, medicine.medical_treatment, Gallstones, Lithotripsy, Endoscopic retrograde cholangiopancreatography (ERCP), 03 medical and health sciences, 0302 clinical medicine, Cholangiography, Direct peroralcholangioscopy (DPOC), medicine, Humans, Endoscopy, Digestive System, lcsh:RC799-869, Aged, Cholangiopancreatography, Endoscopic Retrograde, Endoscopic retrograde cholangiopancreatography, medicine.diagnostic_test, Common bile duct, business.industry, Gastroenterology, Balloon catheter, Mean age, General Medicine, Middle Aged, Surgery, Choledocholithiasis, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Inclusion and exclusion criteria, Common bile duct stones (CBDs), Clinical value, Female, lcsh:Diseases of the digestive system. Gastroenterology, 030211 gastroenterology & hepatology, business, Research Article
Abstract: Background This study aims to evaluate the efficacy and safety of detecting and removing residual common bile duct stones (CBDS) using direct peroralcholangioscopy (DPOC) after performing endoscopic retrograde cholangiopancreatography (ERCP) for stone retrieval. Methods From January 5, 2017 to December 27, 2017, a total of 164 cases of choledocholithiasis were treated by ERCP for stone retrieval. According to the inclusion and exclusion criteria, the remaining 79 cases (39 males; mean age: 63.3 years old, range: 52–79 years old) were enrolled in the present study. The maximum transverse stone diameter was 6–15 mm (12.7 ± 4.2 mm), as determined by ERCP. Furthermore, there were 57 cases of multiple stones (number of stones: two in 41 cases, three in nine cases, and ≥ 4 in seven cases), 13 cases of post-mechanical lithotripsy, and nine cases of broken stones. Results The overall success rate of DPOC was 94.9% (75/79). Furthermore, 18.7%(14/75) of cases were directly inserted, 72%(54/75) of cases required guide wire assistance, and 9.3%(7/75) of cases were successfully inserted with overtube assistance. The average insertion time was 7–17 min (4.9 ± 2.9 min). Residual stones were detected in 19 cases (25.3%), and all of which were
Published: 2019
Full Text: View/download PDF

47. The Research Reviewed of Edge Network Active Safety Defense Technology

Author: Jun Hou, Qi Yong, Yaozong Liu, Qianmu Li, and Hanrui Zhang
Subjects: Network security, business.industry, Computer science, Big data, 020206 networking & telecommunications, Cloud computing, 02 engineering and technology, Terminal (electronics), Data exchange, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Enhanced Data Rates for GSM Evolution, business, Edge computing, Computer network
Abstract: Edge computing network refers to a new paradigm of big data computing network on the edge side near the user or Internet of things, data source side, fusion network, computing, storage, and business core capabilities. The edge computing network is driven by the development of cloud computing and the Internet of things, its core is to face the massive uplink monitoring and acquisition produced by the intelligent sensing equipment, and the downlink decision control big data. This paper solves the problem of low performance of data computing in a centralized cloud computing model through edge side big data storage and computing. Compared with the traditional cloud computing network, the edge computing network has more terminal types, more frequent real-time data exchange, more complex transmission network technology system, and a higher degree of intelligent interconnection of business systems. However, the edge computing network is ubiquitous, and the open characteristics transmit the network security risk to every business link of the system, which faces severe security protection challenges. This paper focuses on the requirements of high real-time and high continuity of edge computing networks, and faces the dual constraints of the hybrid characteristics of edge computing networks and the uncertainty of new network attack characteristics, the present situation of active defense technologies such as detection, circumvention, deception, control and so on for edge computing network is summarized before serious damage is caused by edge computing network. This paper analyzes the security challenges faced by the existing technologies from four levels of terminal domain, data domain, network domain and system domain, and puts forward the urgent research trend
Published: 2019
Full Text: View/download PDF

48. Complementary roles of MRI and endoscopic examination in the early detection of nasopharyngeal carcinoma

Author: Ann D. King, I.O.L. Tse, Yuk Ming Dennis Lo, Kunwar S.S. Bhatia, Benny Zee, Rossa W.K. Chiu, John K. S. Woo, Qi-Yong Ai, W.K.J. Lam, J.S.M. Chan, A.C. van Hasselt, Anthony T.C. Chan, Brigette B.Y. Ma, Edwin P. Hui, and K.C.A. Chan
Subjects: 0301 basic medicine, Adult, Male, medicine.medical_specialty, Epstein-Barr Virus Infections, Herpesvirus 4, Human, 03 medical and health sciences, 0302 clinical medicine, Biopsy, otorhinolaryngologic diseases, medicine, Humans, Prospective Studies, Stage (cooking), Prospective cohort study, Early Detection of Cancer, Nasopharyngeal Carcinoma, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Endoscopy, Nasopharyngeal Neoplasms, Hematology, Middle Aged, Viral Load, medicine.disease, Prognosis, Primary tumor, Occult, Magnetic Resonance Imaging, stomatognathic diseases, 030104 developmental biology, Oncology, Nasopharyngeal carcinoma, 030220 oncology & carcinogenesis, DNA, Viral, Radiology, business, Follow-Up Studies
Abstract: Background Early-stage nasopharyngeal carcinoma (NPC) evades detection when the primary tumor is hidden from view on endoscopic examination. Therefore, in a prospective study of subjects being screened for NPC using plasma Epstein–Barr virus (EBV) DNA, we conducted a study to investigate whether magnetic resonance imaging (MRI) could detect endoscopically occult NPC. Patients and methods Participants with persistently positive EBV DNA underwent endoscopic examination and biopsy when suspicious for NPC, followed by MRI blinded to the endoscopic findings. Participants with a negative endoscopic examination and positive MRI were recalled for biopsy or surveillance. Diagnostic performance was assessed by calculating sensitivity, specificity and accuracy, based on the histologic confirmation of NPC in the initial study or in a follow-up period of at least two years. Results Endoscopic examination and MRI were performed on 275 participants, 34 had NPC, 2 had other cancers and 239 without cancer were followed-up for a median of 36 months (24–60 months). Sensitivity, specificity and accuracy were 76.5%, 97.5% and 94.9%, respectively, for endoscopic examination and 91.2%, 97.5% and 96.7%, respectively, for MRI. NPC was detected only by endoscopic examination in 1/34 (2.9%) participants (a participant with stage I disease), and only by MRI in 6/34 (17.6%) participants (stage I = 4, II = 1, III = 1), two of whom had stage I disease and follow-up showing slow growth on MRI but no change on endoscopic examination for 36 months. Conclusion MRI has a complementary role to play in NPC detection and can enable the earlier detection of endoscopically occult NPC.
Published: 2019

49. Ultro-high color gamut and patterned color filter based on quantum dot photoresist

Author: 张斌 Zhang Bin, 邱云 Qiu Yun, 赵合彬 Zhao He-bin, 齐永莲 Qi Yong-lian, 周婷婷 Zhou Ting-ting, 谢蒂旎 Xie Di-ni, 石广东 Shi Guang-dong, 曲连杰 Qu Lian-jie, 薛建设 Xue Jian-she, and 王丹 Wang Dan
Subjects: Materials science, business.industry, 02 engineering and technology, Photoresist, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, 0104 chemical sciences, Electronic, Optical and Magnetic Materials, Gamut, Quantum dot, Color gel, Signal Processing, High color, Optoelectronics, Color filter array, 0210 nano-technology, business, Instrumentation
Published: 2017
Full Text: View/download PDF

50. Forming photo spacer by layer stacking on TFT-LCD CF substrate

Author: 崔承镇 Cui Cheng-zhen, 张锋 Zhang Feng, 齐永莲 Qi Yong-lian, 徐传祥 Xu Chuan-xiang, and 舒适 Shu Shi
Subjects: Liquid-crystal display, Materials science, business.industry, Stacking, Substrate (printing), Electronic, Optical and Magnetic Materials, law.invention, Thin-film transistor, law, Signal Processing, Optoelectronics, business, Instrumentation, Layer (electronics)
Published: 2017
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Journal

Database

Publisher

146 results on '"Qi Yong"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources