Author: "Li CY" - Searchworks@Jio Institute Digital Library Search Results

4,090 results on '"Li CY"'

1. Unraveling the Obesity Paradox: Exploring the Impact of Body Weight on Cutaneous Melanoma Prognosis in Asian Population

Author: Chu PY, Lien KP, Chen KC, Li CY, Yang JS, Wang TH, and Chiu YJ
Subjects: melanoma, neoplasms, obesity, obesity paradox, survival analysis, Specialties of internal medicine, RC581-951
Abstract: Po-Yu Chu,1 Kuan-Po Lien,2,3 Kuan-Cheng Chen,1 Cheng-Yuan Li,4,5 Jai-Sing Yang,6 Tien-Hsiang Wang,1,7 Yu-Jen Chiu1,7,8 1Division of Plastic and Reconstructive Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, 112201, Taiwan; 2Department of Medicine, Mackay Medical College, New Taipei City, 252005, Taiwan; 3Department of Surgery, Cathay General Hospital, Taipei, 106438, Taiwan; 4Department of Dermatology, Taipei Veterans General Hospital, Taipei, 112201, Taiwan; 5Department of Dermatology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, 112304, Taiwan; 6Department of Medical Research, China Medical University Hospital, China Medical University, Taichung City, 404327, Taiwan; 7Department of Surgery, School of Medicine, National Yang Ming Chiao Tung University, Taipei, 112304, Taiwan; 8Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, 112304, TaiwanCorrespondence: Yu-Jen Chiu, Division of Plastic and Reconstructive Surgery, Department of Surgery, Taipei Veterans General Hospital, 19/F, No. 201, Sec. 2, Shipai Road, Beitou District, Taipei, 112201, Taiwan, Email chiou70202@gmail.comBackground: Obesity has been identified as a significant risk factor for various diseases, including certain cancers; however, its association with melanoma remains a subject of debate. Despite the increasing incidence of cutaneous melanoma in Taiwan, there has been limited research on its correlation with obesity. This study aims to investigate the relationship between obesity and the prognosis of cutaneous melanoma in Taiwan.Methods: Between January 1, 2000, and December 31, 2022, 201 patients were diagnosed with cutaneous melanoma at our hospital, with 61.69% of them diagnosed with acral melanoma. Data on body weight, height, tumor stages and prognosis were collected and analyzed.Results: The result revealed that older age (≥ 65 years old), male, advanced Breslow thickness stage (T3 and T4) and tumor ulceration were identified as risk factors for worse overall survival in both cutaneous melanoma and acral melanoma. In the adjusted multivariable analysis, being overweight was considered a protective factor in both cutaneous and acral melanoma.Conclusion: Contrary to expectations, it was observed that melanoma patients with obesity exhibited better survival rates compared to those with normal or underweight status. Additionally, no significant differences were found between acral melanoma and non-acral melanoma subtypes regarding the impact of body weight on overall survival.Keywords: melanoma, neoplasms, obesity, obesity paradox, survival analysis
Published: 2024

2. A Picture Paints a Thousand Words: Perspectives of the Use of Images and Videos of Physical Findings in Virtual OSCE Teaching Sessions

Author: Au YE, Li CY, Dalavaye N, Elahi A, Vyas R, Baskaran R, and Rutherford SM
Subjects: medical education, visual, multi-media, clinical, online, teaching, Special aspects of education, LC8-6691, Medicine (General), R5-920
Abstract: Yew Ern Au,1 Cheuk Ying Li,1 Nishaanth Dalavaye,1 Aarij Elahi,1 Rohan Vyas,2 Ravanth Baskaran,1 Stephen Mark Rutherford3 1School of Medicine, Cardiff University, Cardiff, UK; 2Bart’s and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK; 3School of Biosciences, Cardiff University, Cardiff, UKCorrespondence: Ravanth Baskaran, Email ravanthb97@gmail.comBackground: The COVID-19 pandemic has resulted in medical students’ education being disrupted and a new direction of learning towards the online classroom, with students frequently learning to identify clinical signs via online conferencing platforms. Given this shift in student study techniques in the pandemic and post-pandemic era, we set out to analyse the confidence levels of students recognizing clinical signs in patients and the opinions and patterns of resources students would use to build up the knowledge and confidence for their future clinical practice.Methods: OSCEazy, a student-led medical education organisation, delivered an online teaching session and disseminated a questionnaire containing ten-point Likert scales, multiple-choice questions and free text options.Results: The majority (over 75%) of respondents reported using digital resources to learn physical examinations. Most respondents were somewhat confident with recognising clinical signs during physical examinations (Median 7, IQR 6– 8). Kruskal–Wallis H-test on students’ impression of the quality of current OSCE materials showed a statistically significant difference between cohorts (X2(2) = 14.209, p = 0.014). A large proportion of students (98.41%) agreed that an online resources bank would be beneficial for their learning. Wilcoxon rank test showed a statistically significant preference for learning physical examinations using clinical images rather than videos (p = 0.014). A 29% of respondents mentioned the use of physical textbooks as a resource, while online platforms such as OSCE revision websites, YouTube and Google Images had become the mainstream platforms.Conclusion: The findings reported here suggest that there needs to be a greater emphasis on providing online image-based resources to support medical students in learning clinical signs. A resource containing these clinical signs would prove to be of benefit for students to access high-quality self-directed learning to identify and verify clinical signs.Keywords: medical education, visual, multi-media, clinical, online, teaching
Published: 2024

3. Correlation of Coagulation Dysfunction with Infection and Hypercapnia in Acute Exacerbation of COPD Patients

Author: Zheng LL, Wang S, Li ZG, Han L, Zhu CD, Li CY, Zhang XX, and Deng X
Subjects: acute exacerbation of chronic obstructive pulmonary disease, aecopd, abnormal coagulation function, infection, thrombosis, Infectious and parasitic diseases, RC109-216
Abstract: Li-Li Zheng,1 Sheng Wang,1 Ze-Geng Li,2 Lei Han,2 Chun-Dong Zhu,1 Chun-Ying Li,1 Xing-Xing Zhang,1 Xue Deng1 1Department of Respiratory Medicine of Geriatrics Center, The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, 230000, People’s Republic of China; 2Anhui University of Traditional Chinese Medicine, Hefei, 230000, People’s Republic of ChinaCorrespondence: Sheng Wang, Department of Respiratory Medicine, Geriatrics Center, The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, 117 Meishan Road, Shushan District, Hefei, 230000, People’s Republic of China, Tel +86 13855182043, Email wangs_sheng@163.comBackground: This study aims to explore the factors influencing the coagulation function of patients with chronic obstructive pulmonary disease (COPD) and its effects on thrombosis.Methods: A total of 155 COPD patients, including 118 patients with acute exacerbation of COPD (AECOPD) and 37 patients with stable COPD (SCOPD), were enrolled in this study. Meanwhile, 50 patients with gastrointestinal polyps found during physical examination and treated with surgery in the same period were enrolled as the control group. The basic data, routine blood tests, C-reactive protein (CRP), procalcitonin (PCT), and coagulation indexes of the three groups were collected, as well as arterial blood gas indexes of AECOPD patients.Results: The differences in erythrocyte count and hemoglobin among groups were not statistically significant. Compared with the SCOPD group and control group, white blood cell (WBC), neutrophil percentage, PCT, CRP, prothrombin time (PT), and fibrinogen (FIB) in the AECOPD group increased significantly, while the international normalized ratio (INR) decreased (P < 0.05). The differences in activated partial thromboplastin time (APTT) and D-dimer among groups were not statistically significant (P > 0.05). Thrombin time (TT) in the AECOPD group was shorter than that of the control group, and PT was longer than that of the SCOPD group (P < 0.05). Five patients with AECOPD and one patient with SCOPD had venous thrombosis.Conclusion: The abnormal coagulation function in AECOPD patients is related to the degree of infection and hypercapnia, which may be a risk factor for thrombosis.Keywords: acute exacerbation of chronic obstructive pulmonary disease, AECOPD, abnormal coagulation function, infection, thrombosis
Published: 2023

4. Expression and Correlation of MIF and ERK1/2 in Liver Cirrhosis and Hepatocellular Carcinoma Induced by Hepatitis B

Author: Jia D, Li B, Wang JK, Wang P, Li CY, Lu LX, Tian WY, Yu XH, Zhang JC, and Zheng Y
Subjects: mif, mapk signaling pathway, hepatitis b-induced liver cirrhosis, hepatocellular carcinoma, Therapeutics. Pharmacology, RM1-950
Abstract: Dong Jia,&ast; Bin Li,&ast; Jun-Ke Wang,&ast; Pan Wang, Chu-Yi Li, Li-Xia Lu, Wen-Yan Tian, Xiao-Hui Yu, Jiu-Cong Zhang, Ying Zheng Department of Gastroenterology, The 940th Hospital of Joint Service Logistics Support Force of Chinese People’s Liberation Army, Lanzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiao-Hui Yu; Jiu-Cong Zhang, Department of Gastroenterology, The 940 Hospital of Joint Logistic Support Force of People’s Liberation Army, No. 333 of Binhenan Road, Qilihe District, Lanzhou, 730050, People’s Republic of China, Tel +86 13919914665 ; +86 13919919690, Email yuxh_abc@163.com; zhangjc_dr@21cn.comObjective: To detect expression and phosphorylation level of macrophage migration inhibitor (MIF) and extracellular-regulated kinases 1 and 2 (ERK1/2) in hepatitis B-induced liver cirrhosis (HBILC) and hepatocellular carcinoma (HCC) with a background of HBILC and analyze the correlation of MIF and ERK1/2 with HBILC and HCC.Methods: Twenty cases of normal liver tissues were collected as a control group, and 48 specimens of HBILC tissues and 48 specimens of HCC tissues were collected as the experimental group, which were assigned as the HBILC group and HCC group, respectively. All tissue specimens were processed into tissue chips. The expressions of MIF, ERK1/2, and their phosphorylated proteins were detected via immunohistochemistry, and MIF and ERK1/2 nucleic acid expressions were detected by in situ hybridization. The results were statistically analyzed using the chi-square test.Results: Proteins and nucleic acids of MIF and ERK1/2 presented low expression in the control group and high expression in the HBILC group and HCC group. MIF expression in the three groups was 25.0%, 75.0%, and 79.17%, respectively, while that of the nucleic acids was 25.0%, 70.83%, and 68.75%, respectively. Expression of ERK1/2 in the three groups was 40.0%, 60.42%, and 81.25%, respectively, and that of nucleic acids was 40.0%, 79.17%, and 77.08%. Expression of pERK1/2 was low in the control and HBILC group and high in the HCC group. Expression of pERK1/2 in the three groups was 20%, 45.83%, and 75%, respectively. Expression of pERK1/2 in the HCC group was significantly different from that in the HBILC and control group (P< 0.05), but the difference between the HBILC group and control group was not statistically significant (P> 0.05).Conclusion: Occurrence and development of HBILC and HCC are not only related to the high expression of MIF but also closely related to the activation of the ERK1/2 signaling pathway.Keywords: MIF, MAPK signaling pathway, hepatitis B-induced liver cirrhosis, hepatocellular carcinoma
Published: 2023

5. Punicalagin Attenuates LPS-Induced Inflammation and ROS Production in Microglia by Inhibiting the MAPK/NF-κB Signaling Pathway and NLRP3 Inflammasome Activation

Author: Lo J, Liu CC, Li YS, Lee PY, Liu PL, Wu PC, Lin TC, Chen CS, Chiu CC, Lai YH, Chang YC, Wu HE, Chen YR, Huang YK, Huang SP, Wang SC, and Li CY
Subjects: punicalagin, microglia, nlrp3 inflammasome, mapk, nf-κb, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract: Jung Lo,1,2 Ching-Chih Liu,3,4 Yueh-Shan Li,3 Po-Yen Lee,3,5 Po-Len Liu,6 Pei-Chang Wu,1,2 Tzu-Chieh Lin,7 Chi-Shuo Chen,8 Chien-Chih Chiu,9 Yu-Hung Lai,3,5,10 Yo-Chen Chang,3,5,10 Hsin-En Wu,3 Yuan-Ru Chen,3 Yu-Kai Huang,3,11 Shu-Pin Huang,1,12– 14 Shu-Chi Wang,15– 17 Chia-Yang Li3,16– 18 1Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 2Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan; 3Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 4Department of Ophthalmology, Chi Mei Medical Center, Tainan, 71004, Taiwan; 5Department of Ophthalmology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 6Department of Respiratory Therapy, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 7Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 8Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, 30013, Taiwan; 9Department of Biotechnology, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 10Department of Ophthalmology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 11Department of Neurosurgery, Kaohsiung Medical University Hospital, Kaohsiung, 80708, Taiwan; 12Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 13Department of Urology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 14Ph.D. Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 15Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 16Center for Cancer Research, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan; 17Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, 80756, Taiwan; 18Department of Biological Science and Technology, National Pingtung University of Science and Technology, Pingtung, 91201, TaiwanCorrespondence: Shu-Chi Wang; Chia-Yang Li, Email shuchiwang@kmu.edu.tw; chiayangli@kmu.edu.twPurpose: Neurodegenerative diseases are associated with neuroinflammation along with activation of microglia and oxidative stress, but currently lack effective treatments. Punicalagin is a natural bio-sourced product that exhibits anti-inflammatory effects on several chronic diseases; however, the anti-inflammatory and anti-oxidative effects on microglia have not been well examined. This study aimed to investigate the effects of punicalagin on LPS-induced inflammatory responses, NLRP3 inflammasome activation, and the production of ROS using murine microglia BV2 cells.Methods: BV2 cells were pre-treated with punicalagin following LPS treatment to induce inflammation. The secretion of NO and PGE2 was analyzed by Griess reagent and ELISA respectively, while the expressions of iNOS, COX-2, STAT3, ERK, JNK, and p38 were analyzed using Western blotting, the production of IL-6 was measured by ELISA, and the activity of NF-κB was detected using promoter reporter assay. To examine whether punicalagin affects NLRP3 inflammasome activation, BV2 cells were stimulated with LPS and then treated with ATP or nigericin. The secretion of IL-1β was measured by ELISA. The expressions of NLRP3 inflammasome-related proteins and phospho IκBα/IκBα were analyzed using Western blotting. The production of intracellular and mitochondrial ROS was analyzed by flow cytometry.Results: Our results showed that punicalagin attenuated inflammation with reduction of pro-inflammatory mediators and cytokines including iNOS, COX-2, IL-1β, and reduction of IL-6 led to inhibition of STAT3 phosphorylation by LPS-induced BV2 cells. Punicalagin also suppressed the ERK, JNK, and p38 phosphorylation, attenuated NF-κB activity, inhibited the activation of the NLRP3 inflammasome, and reduced the production of intracellular and mitochondrial ROS by LPS-induced BV2 cells.Conclusion: Our results demonstrated that punicalagin attenuated LPS-induced inflammation through suppressing the expression of iNOS and COX-2, inhibited the activation of MAPK/NF-κB signaling pathway and NLRP3 inflammasome, and reduced the production of ROS in microglia, suggesting that punicalagin might have the potential in treating neurodegenerative diseases.Graphical Abstract: Keywords: punicalagin, microglia, NLRP3 inflammasome, MAPK, NF-κB
Published: 2022

6. Sex-Specific Changes in Choroid Vasculature Among Patients with Schizophrenia and Bipolar Disorder

Author: Li CY, Garg I, Bannai D, Kasetty M, Katz R, Adhan I, Douglas KAA, Wang JC, Kim LA, Keshavan M, Lizano P, and Miller JB
Subjects: choroid vascular density, swept source optical coherence tomography angiography, psychosis, schizophrenia, bipolar disorder., Ophthalmology, RE1-994
Abstract: Chloe Y Li,1,&ast; Itika Garg,1,2,&ast; Deepthi Bannai,3 Megan Kasetty,1 Raviv Katz,1,2 Iniya Adhan,3 Konstantinos AA Douglas,1 Jay C Wang,1 Leo A Kim,2 Matcheri Keshavan,3 Paulo Lizano,3,&ast; John B Miller1,2,&ast; 1Harvard Retinal Imaging Laboratory, Massachusetts Eye and Ear, Boston, MA, USA; 2Retina Service, Massachusetts Eye and Ear, Boston, MA, USA; 3Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA&ast;These authors contributed equally to this workCorrespondence: John B Miller, Harvard Medical School, Department of Ophthalmology, Massachusetts Eye and Ear, 243 Charles St, Boston, MA, 02114, USA, Tel +1 617-573-3529, Email john_miller@meei.harvard.edu Paulo Lizano, Harvard Medical School, Department of Psychiatry, Beth Israel Deaconess Medical Center, 75 Fenwood Road, Room 612, Boston, MA, 02115, USA, Tel +1 617-754-1227, Email plizano@bidmc.harvard.eduPurpose: While structural changes within the retina of psychosis patients have been established, no detailed studies of choroidal microvasculature in these patients have been performed. Given evidence of microvascular disruption in psychosis patients, this study sought to determine whether there exists evidence of microvascular disruption in the choroids in these patients.Methods: Fifty-six subjects (20 controls and 36 psychosis patients) were recruited from April 2018 to February 2020. Five were excluded due to imaging artifact or missing demographic information. Swept-source optical coherence tomography angiography (SS-OCTA) images were obtained. Choroid vascular enface images (12 mm × 9mm) were exported every 2.6 μm from Bruch’s membrane to the choroid–scleral interface from Topcon to ImageJ. The images were binarized using Otsu’s method, signal from the optic disk and retinal vasculature was removed, and average choroid vascular density (CVD) was calculated as the average of percent area occupied by choroidal vasculature across images in the stack. Choroid vascular volume (CVV) was calculated as the CVD multiplied by maximum CT and image area. During image analysis, study staff were blinded to the phenotype of the study subjects.Results: Compared with same-sex controls, male psychiatric patients had significantly lower CVD. Compared with same-sex controls, female psychiatric patients had significantly lower maximum CT with correspondingly decreased CVV, after adjusting for age. When all psychiatric patients were compared with all healthy controls, no significant differences in CT, CVD, or CVV were noted.Conclusion: These results suggest that the pathogenesis of psychotic illness affects choroidal microvasculature in a sex-specific manner.Keywords: choroid vascular density, swept source optical coherence tomography angiography, psychosis, schizophrenia, bipolar disorder
Published: 2022

7. Retrospective Analysis of the Value of Enhanced CT Radiomics Analysis in the Differential Diagnosis Between Pancreatic Cancer and Chronic Pancreatitis

Author: Ma X, Wang YR, Zhuo LY, Yin XP, Ren JL, Li CY, Xing LH, and Zheng TT
Subjects: pancreatic cancer, chronic pancreatitis, radiomics, computed tomography, differential diagnosis, Medicine (General), R5-920
Abstract: Xi Ma,1,&ast; Yu-Rui Wang,2,&ast; Li-Yong Zhuo,1 Xiao-Ping Yin,1 Jia-Liang Ren,3 Cai-Ying Li,4 Li-Hong Xing,1 Tong-Tong Zheng4 1CT/MRI Room, Affiliated Hospital of Hebei University, Baoding, Hebei Province, 071000, People’s Republic of China; 2Department of Computed Tomography, Tangshan Gongren Hospital, Tangshan, Hebei Province, 063000, People’s Republic of China; 3GE Healthcare[Shanghai] Co Ltd, Shanghai, 210000, People’s Republic of China; 4Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, 050000, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiao-Ping YinCT/MRI Room, Affiliated Hospital of Hebei University, No. 212 Eastern Yuhua Road, Baoding City, Hebei Province, 071000, People’s Republic of ChinaTel +86 0312-5981699Email xpydr_sea123@163.comCai-Ying LiDepartment of Radiology, The Second Hospital of Hebei Medical University, 215 Eastern Heping Road, Shijiazhuang city, Hebei Province, 050000, People’s Republic of ChinaTel +86 0311-87046901Email lcy_dr06@126.comPurpose: To investigate the feasibility of enhanced computed tomography (CT) radiomics analysis to differentiate between pancreatic cancer (PC) and chronic pancreatitis.Methods and materials: The CT images of 151 PCs and 24 chronic pancreatitis were retrospectively analyzed in the three-dimensional regions of interest on arterial phase (AP) and venous phase (VP) and segmented by MITK software. A multivariable logistic regression model was established based on the selected radiomics features. The radiomics score was calculated, and the nomogram was established. The discrimination of each model was analyzed by the receiver operating characteristic curve (ROC). Decision curve analysis (DCA) was used to evaluate clinical utility. The precision recall curve (PRC) was used to evaluate whether the model is affected by data imbalance. The Delong test was adopted to compare the diagnostic efficiency of each model.Results: Significant differences were observed in the distribution of gender (P = 0.034), carbohydrate antigen 19-9 (P < 0.001), and carcinoembryonic antigen (P < 0.001) in patients with PC and chronic pancreatitis. The area under the ROC curve (AUC) value of AP multivariate regression model, VP multivariate regression model, AP combined with VP features model (Radiomics), clinical feature model, and radiomics combined with clinical feature model (COMB) was 0.905, 0.941, 0.941, 0.822, and 0.980, respectively. The sensitivity and specificity of the COMB model were 0.947 and 0.917, respectively. The results of DCA showed that the COMB model exhibited net clinical benefits and PRC shows that COMB model have good precision and recall (sensitivity).Conclusion: The COMB model could be a potential tool to distinguish PC from chronic pancreatitis and aid in clinical decisions.Keywords: pancreatic cancer, chronic pancreatitis, radiomics, computed tomography, differential diagnosis
Published: 2022

8. Normal Basal Epithelial Cells Stimulate the Migration and Invasion of Prostate Cancer Cell RM-1 by TGF-β1/STAT3 Axis in vitro

Author: Li CY, Chen CY, An JH, Wu JB, and Shen H
Subjects: normal basal epithelial cells, rm-1, migration, invasion, tgf-β1, stat3, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Chun-Yan Li,1 Chun-Ya Chen,1 Jian-Hong An,1 Jian-Bin Wu,2 Hong Shen1,3 1South China University of Technology School of Medicine, Guangzhou Higher Education Mega Center, Guangzhou, 510006, Guangdong, People’s Republic of China; 2Department of Oncology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510407, People’s Republic of China; 3Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, People’s Republic of ChinaCorrespondence: Hong Shen Tel +86 20-61648227Email shenhong2010168@163.comAim: Basal epithelial cells are absent in distant prostate cancer. This study aimed to investigate whether basal epithelial cells could suppress migration and invasion of prostate cancer cells to become a new treatment strategy for prostate cancer.Main Methods: Basal epithelial cells were identified by immunofluorescence with anti-p63. Wound healing assays or transwell assays were used to explore the effects of basal epithelial cells, TGF-β 1, SB431542 (inhibitor of TGF-β type I receptor) or stattic (inhibitor of phosphorylated STAT3) on migration or invasion of mouse prostate cancer cell (RM-1). Concentration of TGF-β 1 was measured by ELISA assay. HE staining was used to investigate cell morphology. Immunocytochemistry with anti-p63 was used to identify basal epithelial cells. Levels of STAT3, p-STAT3 (Ser727) and proteins associated with EMT were measured with Western blot assay. Cell proliferation was measured with MTT or CCK8 assay.Results: Normal basal epithelial cells acquired from mouse prostate were specific to anti-p63 and more than 90%. Basal epithelial cells and RM-1 could both secrete TGF-β 1. Basal epithelial cells and TGF-β 1 promoted the migration and invasion of RM-1 through changing the cell morphology and up-regulating expression of ZEB1, N-cadherin, vimentin, snail and p-STAT3 (Ser727), at the same time down-regulating E-cadherin of RM-1. SB431542 strongly suppressed migration, invasion as well as the expressions of EMT relevant proteins and p-STAT3 (Ser727) of co-cultured RM-1. In addition, stattic suppressed proliferation, migration and invasion of non-treated RM-1 and co-cultured RM-1.Conclusion: Our study suggests that normal basal epithelial cells might stimulate the migration and invasion of RM-1 by TGF-β 1/STAT3 axis which could be suppressed by inhibitor of TGF-β receptor and inhibitor of p-STAT3. So, basal epithelial cells might not become a treatment strategy for prostate cancer, but our results could provide some researching references for other diseases which include basal epithelial cells such as prostatic intraepithelial neoplasia, prostatic hyperplasia, cervical cancer, or urinary bladder cancer.Keywords: normal basal epithelial cells, RM-1, migration, invasion, TGF-β 1, STAT3
Published: 2021

9. Diagnostic and Predictive Values of Strain Ratios in the Regions of Interests in Reference Tissue for Breast Tumor

Author: Wang H, Li CY, Zha HL, Xu D, and Hu ZB
Subjects: conventional ultrasonography, breast imaging-reporting and data system, ultrasonic elastography, elasticity score, strain ratio, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Hui Wang,1,* Cui-Ying Li,1,* Hai-Ling Zha,1 Di Xu,1 Zhi-Bin Hu2 1Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People’s Republic of China; 2Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhi-Bin HuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, No. 101 Longmian Avenue, Jiangning District, Nanjing, 211166, Jiangsu, People’s Republic of ChinaTel +86-25-86868437Email Zhibin_hu@njmu.edu.cnDi XuDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, People’s Republic of ChinaTel +86-25-83714511Email xudi_doctor@163.comPurpose: To investigate the diagnostic and predictive value of strain ratios in the regions of interests (ROIs) in reference tissue for breast tumor.Patients and Methods: A total of 707 lesions in 665 consecutive patients were examined with B-mode Breast Imaging-Reporting and Data System (BI-RADS) and Ultrasonic elastography (UE). Elasticity score (ES) and strain ratio (SR) in each lesion were calculated. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value of BI-RADS, ES, SR1, SR2, BI-RADS combined with ES (BI-RADS+ES), BI-RADS combined with SR1 (BI-RADS+SR1), and BI-RADS combined with SR2 (BI-RADS+SR2). The sensitivity, specificity, and areas under the ROC curves (Az) were obtained. Scatter plots were generated to demonstrate the correlation between SR1 and SR2. Kruskal-Walls H-test, Mann–Whitney U-test and one-way ANOVA were performed to evaluate SRs and tumor-related variables. Multiple linear regression analysis was carried out to determine variables independently associated with SRs.Results: BI-RADS had high sensitivity and low specificity in the diagnosis of breast tumor. The specificity of BI-BADS combined with ES or SR was even higher. The Az value of BI-RADS+ES or BI-RADS+SRs was higher than that of BI-RADS (P < 0.001). The Az value of ES was higher than those of SR1 and SR2 (P < 0.001), and those of SR1 and SR2 were similar. SR1 and SR2 were highly positively correlated. There was no statistical difference between Az values of BI-RADS+ES, BI-RADS+SR1, and BI-RADS+SR2. Indistinct margin, high histologic grade, histological type, and negative human epidermal growth factor receptor (Her-2) were associated with SR1 and SR2. Progesterone receptor (PR) status and molecular subtype were associated with SR2. Histologic grade and tumor margin were significantly associated with SR1, and tumor margin was associated with SR2.Conclusion: SRs in different ROIs in the reference tissue at the same depth showed no different diagnostic value for breast tumor. Both SR1 and SR2 could be useful in assessing the biological characteristics of invasive breast carcinoma.Keywords: conventional ultrasonography, Breast Imaging-Reporting and Data System, ultrasonic elastography, elasticity score, strain ratio
Published: 2021

10. Comparison of Diagnostic Efficacy Between Contrast-Enhanced Ultrasound and DCE-MRI for Mass- and Non-Mass-Like Enhancement Types in Breast Lesions

Author: Liu W, Zong M, Gong HY, Ling LJ, Ye XH, Wang S, and Li CY
Subjects: contrast-enhanced ultrasound, dynamic contrast-enhanced mri, mass-like breast lesion, non-mass-like breast lesion, breast cancer, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Wei Liu,1,* Min Zong,2,* Hai-yan Gong,1,* Li-jun Ling,3 Xin-hua Ye,1 Shui Wang,3 Cui-ying Li1 1Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, People’s Republic of China; 2Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, People’s Republic of China; 3Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, People’s Republic of China*These authors contributed equally to this workCorrespondence: Cui-ying LiDepartment of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Nanjing 210029, People’s Republic of ChinaTel +86-15062260771Email lcy_njmu@163.comShui WangDepartment of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Nanjing 210029, People’s Republic of ChinaTel +86-13701458115Email wangshui_njmu@163.comBackground: Contrast-enhanced ultrasound (CEUS) can provide angiogenesis information about breast lesions; however, its diagnostic performance in comparison with that of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has not been systematically investigated. This study aimed to evaluate the diagnostic efficacy of CEUS and DCE-MRI in mass-like and non-mass-like enhancement types of breast lesions.Material and Methods: A retrospective study was conducted on 252 patients with breast lesions who underwent CEUS and DCE-MRI before surgery between January 2016 and February 2020. Histopathological results were used as reference standards. All patients were classified into mass-like and non-mass-like enhancement lesion groups. The mass-like lesion group was further divided into three categories according to different sizes (group 1: < 10 mm, group 2: 10– 20 mm, and group 3: > 20 mm). Sensitivity, specificity, positive predictive value, negative predictive value, and receiver operating characteristic curve were analyzed to assess the diagnostic performance of these two modalities.Results: For mass-like breast lesions, DCE-MRI (Az=0.981) manifested better diagnostic performance than CEUS (Az=0.940) in medium-sized (10– 20 mm) tumors (Z=2.018, P=0.043), but both had similar diagnostic performance in smaller (< 10 mm) and larger (> 20 mm) tumors (P=0.717, P=0.394). For non-mass-like enhancement lesions, CEUS and DCE-MRI showed no significant difference (Z=1.590, P=0.119) and revealed good diagnostic performance (Az=0.859, Az=0.947) in differentiating the two groups.Conclusion: For mass-like breast lesions, DCE-MRI showed better diagnostic performance than CEUS in differentiating benign and malignant tumors of medium-sizes (10– 20mm) but not of smaller (< 10mm) and larger (> 20 mm) sizes. For non-mass-like lesions, both modalities showed similar diagnostic performance.Keywords: contrast-enhanced ultrasound, dynamic contrast-enhanced MRI, mass-like breast lesion, non-mass-like breast lesion, breast cancer
Published: 2020

11. Validity of ICD-10-CM Codes Used to Identify Patients with Chronic Hepatitis B and C Virus Infection in Administrative Claims Data from the Taiwan National Health Insurance Outpatient Claims Dataset

Author: Sheu MJ, Liang FW, Li ST, Li CY, and Lu TH
Subjects: chronic hepatitis b virus, chronic hepatitis c virus, international classification of diseases codes, validation, administrative claims data., Infectious and parasitic diseases, RC109-216
Abstract: Ming-Jen Sheu,1,2 Fu-Weng Liang,3 Sheng-Tun Li,4 Chung-Yi Li,5– 7 Tsung-Hsueh Lu5 1Division of Gastroenterology and Hepatology, Chi Mei Medical Center, Tainan, Taiwan; 2Department of Medicinal Chemistry, Chia Nan University of Pharmacy and Science, Tainan, Taiwan; 3Department of Public Health, College of Health Science, Kaohsiung Medical University, Kaohsiung, Taiwan; 4Department of Industrial and Information Management, College of Management, National Cheng Kung University, Tainan, Taiwan; 5Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 6Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan; 7Department of Public Health, College of Public Health, China Medical University, Taichung, TaiwanCorrespondence: Tsung-Hsueh LuDepartment of Public Health, College of Medicine, National Cheng Kung University, No. 1, Dah Hsueh Road, East District, Tainan 701, TaiwanTel +886 6 2353535 ext. 5567Fax +886 6 2359033Email robertlu@mail.ncku.edu.twPurpose: To validate the use of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes to identify patients with chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infection in the Taiwan National Health Insurance (NHI) Outpatient Claims Dataset.Methods: We conducted a retrospective study using results of HBV surface antigen (HBsAg), HBV e antigen (HBeAg), and anti-HCV antibody tests in the NHI Lab & Exam Dataset from January 1 to March 31, 2018, as the reference standard to confirm HBV and HCV infection cases. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) to assess the performance of HBV infection-specific ICD-10-CM codes (B180, B181, and B191) and HCV infection-specific ICD-10-CM codes (B182 and B192) recorded in the NHI Outpatient Claims Dataset to identify patients with HBV or HCV infection.Results: In total, 196,635 and 120,628 patients had analyzable results for HBsAg/HBeAg tests and anti-HCV tests, respectively. Moreover, 44,574 and 14,443 were confirmed to have HBV and HCV infection, respectively. The sensitivity, specificity, PPV, and NPV were, respectively, 46%, 83%, 45%, and 84% for HBV infection-specific ICD-10-CM codes and 47%, 99%, 81%, and 93% for HCV infection-specific ICD-10-CM codes. The sensitivity demonstrated great variation by region, clinical setting, and physician specialty.Conclusion: The HBV and HCV infection-specific ICD-10-CM codes recorded by physicians in Taiwan NHI outpatient claims data in 2018 had moderate sensitivity and high specificity for both HBV and HCV infection. The PPV was high for HCV ICD-10-CM codes, yet moderate for HBV ICD-10-CM codes.Keywords: chronic hepatitis B virus, chronic hepatitis C virus, international classification of diseases codes, validation, administrative claims data
Published: 2020

12. Comparison of the adhesion of calcium oxalate monohydrate to HK-2 cells before and after repair using tea polysaccharides

Author: Zhao YW, Guo D, Li CY, and Ouyang JM
Subjects: Tea polysaccharide, kidney stone, crystal adhesion, molecular weight, Medicine (General), R5-920
Abstract: Yao-Wang Zhao,1 Da Guo,2 Chuang-Ye Li,1 Jian-Ming Ouyang21Department of Urology, Hunan Children’s Hospital, Changsha 410007, People’s Republic of China; 2Institute of Biomineralization and Lithiasis Research, Jinan University, Guangzhou 510632, People’s Republic of ChinaBackground: Kidney stone formation is closely related to renal epithelial cell damage and the adhesion of calcium oxalate crystals to cells.Methods: In this research, the adhesion of human kidney proximal tubular epithelial cells (HK-2) to calcium oxalate monohydrate crystals with a size of approximately 100 nm was studied. In addition, the inhibition of crystal adhesion by four tea polysaccharides (TPS0, TPS1, TPS2, and TPS3) with the molecular weights of 10.88, 8.16, 4.82, and 2.31 kDa, respectively were compared.Results: When oxalic acid-damaged HK-2 cells were repaired, cell viability increased. By contrast, reactive oxygen species level, phosphatidylserine eversion, and osteopontin expression decreased, thus indicating that tea polysaccharides have a repairing effect on damaged HK-2 cells. Moreover, after repairing the damaged cells, the amount of adherent crystals was reduced. The repair effect of tea polysaccharides is closely related to molecular weight, and TPS2 with the moderate molecular weight displayed the best repair effect.Conclusion: These results suggest that tea polysaccharides, especially TPS2, may inhibit the formation and recurrence of calcium oxalate kidney stones.Keywords: tea polysaccharide, kidney stone, crystal adhesion, molecular weight
Published: 2019

13. The association between recent hospitalized COPD exacerbations and adverse outcomes after percutaneous coronary intervention: a nationwide cohort study

Author: Lin WC, Chen CW, Lu CL, Lai WW, Huang MH, Tsai LM, Li CY, and Lai CH
Subjects: chronic obstructive pulmonary disease (COPD), exacerbation, percutaneous coronary intervention (PCI), cardiovascular outcomes, Diseases of the respiratory system, RC705-779
Abstract: Wei-Chieh Lin,1 Chang-Wen Chen,1 Chin-Li Lu,2,3 Wu-Wei Lai,4 Min-Hsin Huang,4 Liang-Miin Tsai,1 Chung-Yi Li,2,5,* Chao-Han Lai4,* 1Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 2Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 3Graduate Institute of Food Safety, College of Agriculture and Nature Resources, National Chung Hsing University, Taichung, Taiwan; 4Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 5Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan *These authors contributed equally to this work Purpose: COPD is associated with coronary artery disease, and exacerbations are major events in COPD. However, the impact of recent hospitalized exacerbations on outcomes of percutaneous coronary intervention (PCI) remains underdetermined. Patients and methods: Using the National Health Insurance Research Database of Taiwan, we identified 215,275 adult patients who underwent first-time PCI between 2000 and 2012. Among these patients, 15,485 patients had COPD. The risks of hospital mortality, overall mortality, and adverse cardiovascular outcomes after PCI (ie, ischemic events, repeat revascularization, cerebrovascular events, and major adverse cardiac and cerebrovascular events [MACCEs]) in relation to COPD, and the frequency and timing of recent hospitalized exacerbations within 1 year before PCI were estimated. Results: COPD was independently associated with increased risks of hospital mortality, overall mortality, ischemic events, cerebrovascular events, and MACCE during follow-up after PCI. Among cerebrovascular events, ischemic rather than hemorrhagic stroke was more likely to occur. In COPD patients, recent hospitalized exacerbations further increased the risks of overall mortality, ischemic events, and MACCE following PCI. Notably, patients with more frequent or more recent hospitalized exacerbations had a trend toward higher risks of these adverse events (all P-values for trend
Published: 2019

14. Sulfonate-modified phenylboronic acid-rich nanoparticles as a novel mucoadhesive drug delivery system for vaginal administration of protein therapeutics: improved stability, mucin-dependent release and effective intravaginal placement

Author: Li CY, Huang ZG, Liu ZS, Ci LQ, Liu ZP, Liu Y, Yan XY, and Lu WY
Subjects: Mucoadhesion, phenylboronic acid, stability, controlled-release, protein therapeutics, nanoparticles, Medicine (General), R5-920
Abstract: ChunYan Li,1 ZhiGang Huang,2 ZheShuo Liu,1 LiQian Ci,3 ZhePeng Liu,3 Yu Liu,2 XueYing Yan,1 WeiYue Lu2 1School of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin, 2Department of Pharmaceutics, School of Pharmacy, Key Laboratory of Smart Drug Delivery, Ministry of Education, Fudan University, 3School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China Abstract: Effective interaction between mucoadhesive drug delivery systems and mucin is the basis of effective local placement of drugs to play its therapeutic role after mucosal administration including vaginal use, which especially requires prolonged drug presence for the treatment of gynecological infectious diseases. Our previous report on phenylboronic acid-rich nanoparticles (PBNPs) demonstrated their strong interaction with mucin and mucin-sensitive release profiles of the model protein therapeutics interferon (IFN) in vitro, but their poor stability and obvious tendency to aggregate over time severely limited future application. In this study, sulfonate-modified PBNPs (PBNP-S) were designed as a stable mucoadhesive drug delivery system where the negative charges conferred by sulfonate groups prevented aggregation of nanoparticles and the phenylboronic acid groups ensured effective interaction with mucin over a wide pH range. Results suggested that PBNP-S were of spherical morphology with narrow size distribution (123.5 nm, polydispersity index 0.050), good stability over a wide pH range and 3-month storage and considerable in vitro mucoadhesion capability at vaginal pH as shown by mucin adsorption determination. IFN could be loaded to PBNP-S by physical adsorption with high encapsulation efficiency and released in a mucin-dependent manner in vitro. In vivo near-infrared fluorescent whole animal imaging and quantitative vaginal lavage followed by enzyme-linked immunosorbent assay (ELISA) assay of IFN demonstrated that PBNP-S could stay in the vagina and maintain intravaginal IFN level for much longer time than IFN solution (24 hours vs several hours) without obvious histological irritation to vaginal mucosa after vaginal administration to mice. In summary, good stability, easy loading and controllable release of protein therapeutics, in vitro and in vivo mucoadhesive properties and local safety of PBNP-S suggested it as a promising nanoscale mucoadhesive drug delivery system for vaginal administration of protein therapeutics. Keywords: mucoadhesion, phenylboronic acid, stability, controlled-release, protein therapeutics, nanoparticles
Published: 2016

15. Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

Author: Kouli, O, Murray, V, Bhatia, S, Cambridge, WA, Kawka, M, Shafi, S, Knight, SR, Kamarajah, SK, McLean, KA, Glasbey, JC, Khaw, RA, Ahmed, W, Akhbari, M, Baker, D, Borakati, A, Mills, E, Thavayogan, R, Yasin, I, Raubenheimer, K, Ridley, W, Sarrami, M, Zhang, G, Egoroff, N, Pockney, P, Richards, T, Bhangu, A, Creagh-Brown, B, Edwards, M, Harrison, EM, Lee, M, Nepogodiev, D, Pinkney, T, Pearse, R, Smart, N, Vohra, R, Sohrabi, C, Jamieson, A, Nguyen, M, Rahman, A, English, C, Tincknell, L, Kakodkar, P, Kwek, I, Punjabi, N, Burns, J, Varghese, S, Erotocritou, M, McGuckin, S, Vayalapra, S, Dominguez, E, Moneim, J, Salehi, M, Tan, HL, Yoong, A, Zhu, L, Seale, B, Nowinka, Z, Patel, N, Chrisp, B, Harris, J, Maleyko, I, Muneeb, F, Gough, M, James, CE, Skan, O, Chowdhury, A, Rebuffa, N, Khan, H, Down, B, Fatimah Hussain, Q, Adams, M, Bailey, A, Cullen, G, Fu, YXJ, McClement, B, Taylor, A, Aitken, S, Bachelet, B, Brousse de Gersigny, J, Chang, C, Khehra, B, Lahoud, N, Lee Solano, M, Louca, M, Rozenbroek, P, Rozitis, E, Agbinya, N, Anderson, E, Arwi, G, Barry, I, Batchelor, C, Chong, T, Choo, LY, Clark, L, Daniels, M, Goh, J, Handa, A, Hanna, J, Huynh, L, Jeon, A, Kanbour, A, Lee, A, Lee, J, Lee, T, Leigh, J, Ly, D, McGregor, F, Moss, J, Nejatian, M, O'Loughlin, E, Ramos, I, Sanchez, B, Shrivathsa, A, Sincari, A, Sobhi, S, Swart, R, Trimboli, J, Wignall, P, Bourke, E, Chong, A, Clayton, S, Dawson, A, Hardy, E, Iqbal, R, Le, L, Mao, S, Marinelli, I, Metcalfe, H, Panicker, D, R, HH, Ridgway, S, Tan, HH, Thong, S, Van, M, Woon, S, Woon-Shoo-Tong, XS, Yu, S, Ali, K, Chee, J, Chiu, C, Chow, YW, Duller, A, Nagappan, P, Ng, S, Selvanathan, M, Sheridan, C, Temple, M, Do, JE, Dudi-Venkata, NN, Humphries, E, Li, L, Mansour, LT, Massy-Westropp, C, Fang, B, Farbood, K, Hong, H, Huang, Y, Joan, M, Koh, C, Liu, YHA, Mahajan, T, Muller, E, Park, R, Tanudisastro, M, Wu, JJG, Chopra, P, Giang, S, Radcliffe, S, Thach, P, Wallace, D, Wilkes, A, Chinta, SH, Li, J, Phan, J, Rahman, F, Segaran, A, Shannon, J, Zhang, M, Adams, N, Bonte, A, Choudhry, A, Colterjohn, N, Croyle, JA, Donohue, J, Feighery, A, Keane, A, McNamara, D, Munir, K, Roche, D, Sabnani, R, Seligman, D, Sharma, S, Stickney, Z, Suchy, H, Tan, R, Yordi, S, Ahmed, I, Aranha, M, El Sabawy, D, Garwood, P, Harnett, M, Holohan, R, Howard, R, Kayyal, Y, Krakoski, N, Lupo, M, McGilberry, W, Nepon, H, Scoleri, Y, Urbina, C, Ahmad Fuad, MF, Ahmed, O, Jaswantlal, D, Kelly, E, Khan, MHT, Naidu, D, Neo, WX, O'Neill, R, Sugrue, M, Abbas, JD, Abdul-Fattah, S, Azlan, A, Barry, K, Idris, NS, Kaka, N, Mc Dermott, D, Mohammad Nasir, MN, Mozo, M, Rehal, A, Shaikh Yousef, M, Wong, RH, Curran, E, Gardner, M, Hogan, A, Julka, R, Lasser, G, Ní Chorráin, N, Ting, J, Browne, R, George, S, Janjua, Z, Leung Shing, V, Megally, M, Murphy, S, Ravenscroft, L, Vedadi, A, Vyas, V, Bryan, A, Sheikh, A, Ubhi, J, Vannelli, K, Vawda, A, Adeusi, L, Doherty, C, Fitzgerald, C, Gallagher, H, Gill, P, Hamza, H, Hogan, M, Kelly, S, Larry, J, Lynch, P, Mazeni, NA, O'Connell, R, O'Loghlin, R, Singh, K, Abbas Syed, R, Ali, A, Alkandari, B, Arnold, A, Arora, E, Azam, R, Breathnach, C, Cheema, J, Compton, M, Curran, S, Elliott, JA, Jayasamraj, O, Mohammed, N, Noone, A, Pal, A, Pandey, S, Quinn, P, Sheridan, R, Siew, L, Tan, EP, Tio, SW, Toh, VTR, Walsh, M, Yap, C, Yassa, J, Young, T, Agarwal, N, Almoosawy, SA, Bowen, K, Bruce, D, Connachan, R, Cook, A, Daniell, A, Elliott, M, Fung, HKF, Irving, A, Laurie, S, Lee, YJ, Lim, ZX, Maddineni, S, McClenaghan, RE, Muthuganesan, V, Ravichandran, P, Roberts, N, Shaji, S, Solt, S, Toshney, E, Arnold, C, Baker, O, Belais, F, Bojanic, C, Byrne, M, Chau, CYC, De Soysa, S, Eldridge, M, Fairey, M, Fearnhead, N, Guéroult, A, Ho, JSY, Joshi, K, Kadiyala, N, Khalid, S, Khan, F, Kumar, K, Lewis, E, Magee, J, Manetta-Jones, D, Mann, S, McKeown, L, Mitrofan, C, Mohamed, T, Monnickendam, A, Ng, AYKC, Ortu, A, Patel, M, Pope, T, Pressling, S, Purohit, K, Saji, S, Shah Foridi, J, Shah, R, Siddiqui, SS, Surman, K, Utukuri, M, Varghese, A, Williams, CYK, Yang, JJ, Billson, E, Cheah, E, Holmes, P, Hussain, S, Murdock, D, Nicholls, A, Patel, P, Ramana, G, Saleki, M, Spence, H, Thomas, D, Yu, C, Abousamra, M, Brown, C, Conti, I, Donnelly, A, Durand, M, French, N, Goan, R, O'Kane, E, Rubinchik, P, Gardiner, H, Kempf, B, Lai, YL, Matthews, H, Minford, E, Rafferty, C, Reid, C, Sheridan, N, Al Bahri, T, Bhoombla, N, Rao, BM, Titu, L, Chatha, S, Field, C, Gandhi, T, Gulati, R, Jha, R, Jones Sam, MT, Karim, S, Patel, R, Saunders, M, Sharma, K, Abid, S, Heath, E, Kurup, D, Patel, A, Ali, M, Cresswell, B, Felstead, D, Jennings, K, Kaluarachchi, T, Lazzereschi, L, Mayson, H, Miah, JE, Reinders, B, Rosser, A, Thomas, C, Williams, H, Al-Hamid, Z, Alsadoun, L, Chlubek, M, Fernando, P, Gaunt, E, Gercek, Y, Maniar, R, Ma, R, Matson, M, Moore, S, Morris, A, Nagappan, PG, Ratnayake, M, Rockall, L, Shallcross, O, Sinha, A, Tan, KE, Virdee, S, Wenlock, R, Donnelly, HA, Ghazal, R, Hughes, I, Liu, X, McFadden, M, Misbert, E, Mogey, P, O'Hara, A, Peace, C, Rainey, C, Raja, P, Salem, M, Salmon, J, Tan, CH, Alves, D, Bahl, S, Baker, C, Coulthurst, J, Koysombat, K, Linn, T, Rai, P, Sharma, A, Shergill, A, Ahmed, M, Ahmed, S, Belk, LH, Choudhry, H, Cummings, D, Dixon, Y, Dobinson, C, Edwards, J, Flint, J, Franco Da Silva, C, Gallie, R, Gardener, M, Glover, T, Greasley, M, Hatab, A, Howells, R, Hussey, T, Khan, A, Mann, A, Morrison, H, Ng, A, Osmond, R, Padmakumar, N, Pervaiz, F, Prince, R, Qureshi, A, Sawhney, R, Sigurdson, B, Stephenson, L, Vora, K, Zacken, A, Cope, P, Di Traglia, R, Ferarrio, I, Hackett, N, Healicon, R, Horseman, L, Lam, LI, Meerdink, M, Menham, D, Murphy, R, Nimmo, I, Ramaesh, A, Rees, J, Soame, R, Dilaver, N, Adebambo, D, Brown, E, Burt, J, Foster, K, Kaliyappan, L, Knight, P, Politis, A, Richardson, E, Townsend, J, Abdi, M, Ball, M, Easby, S, Gill, N, Ho, E, Iqbal, H, Matthews, M, Nubi, S, Nwokocha, JO, Okafor, I, Perry, G, Sinartio, B, Vanukuru, N, Walkley, D, Welch, T, Yates, J, Yeshitila, N, Bryans, K, Campbell, B, Gray, C, Keys, R, Macartney, M, Chamberlain, G, Khatri, A, Kucheria, A, Lee, STP, Reese, G, Roy choudhury, J, Tan, WYR, Teh, JJ, Ting, A, Kazi, S, Kontovounisios, C, Vutipongsatorn, K, Amarnath, T, Balasubramanian, N, Bassett, E, Gurung, P, Lim, J, Panjikkaran, A, Sanalla, A, Alkoot, M, Bacigalupo, V, Eardley, N, Horton, M, Hurry, A, Isti, C, Maskell, P, Nursiah, K, Punn, G, Salih, H, Epanomeritakis, E, Foulkes, A, Henderson, R, Johnston, E, McCullough, H, McLarnon, M, Morrison, E, Cheung, A, Cho, SH, Eriksson, F, Hedges, J, Low, Z, May, C, Musto, L, Nagi, S, Nur, S, Salau, E, Shabbir, S, Thomas, MC, Uthayanan, L, Vig, S, Zaheer, M, Zeng, G, Ashcroft-Quinn, S, Brown, R, Hayes, J, McConville, R, French, R, Gilliam, A, Sheetal, S, Shehzad, MU, Bani, W, Christie, I, Franklyn, J, Khan, M, Russell, J, Smolarek, S, Varadarassou, R, Ahmed, SK, Narayanaswamy, S, Sealy, J, Shah, M, Dodhia, V, Manukyan, A, O'Hare, R, Orbell, J, Chung, I, Forenc, K, Gupta, A, Agarwal, A, Al Dabbagh, A, Bennewith, R, Bottomley, J, Chu, TSM, Chu, YYA, Doherty, W, Evans, B, Hainsworth, P, Hosfield, T, Li, CH, McCullagh, I, Mehta, A, Thaker, A, Thompson, B, Virdi, A, Walker, H, Wilkins, E, Dixon, C, Hassan, MR, Lotca, N, Tong, KS, Batchelor-Parry, H, Chaudhari, S, Harris, T, Hooper, J, Johnson, C, Mulvihill, C, Nayler, J, Olutobi, O, Piramanayagam, B, Stones, K, Sussman, M, Weaver, C, Alam, F, Al Rawi, M, Andrew, F, Arrayeh, A, Azizan, N, Hassan, A, Iqbal, Z, John, I, Jones, M, Kalake, O, Keast, M, Nicholas, J, Patil, A, Powell, K, Roberts, P, Sabri, A, Segue, AK, Shah, A, Shaik Mohamed, SA, Shehadeh, A, Shenoy, S, Tong, A, Upcott, M, Vijayasingam, D, Anarfi, S, Dauncey, J, Devindaran, A, Havalda, P, Komninos, G, Mwendwa, E, Norman, C, Richards, J, Urquhart, A, Allan, J, Cahya, E, Hunt, H, McWhirter, C, Norton, R, Roxburgh, C, Tan, JY, Ali Butt, S, Hansdot, S, Haq, I, Mootien, A, Sanchez, I, Vainas, T, Deliyannis, E, Tan, M, Vipond, M, 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Published: 2022
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16. Neutron collimator design of neutron radiography based on the BNCT facility

Author: Yang, XP., Yu, BX., Li, YG., Peng, D., Lu, J., Zhang, GL., Zhao, H., Zhang, AW., Li, CY., Liu, WJ., Hu, T., and Lv, JG.
Subjects: Physics - Instrumentation and Detectors, Nuclear Experiment
Abstract: For the research of CCD neutron radiography, a neutron collimator was designed based on the exit of thermal neutron of the Boron Neutron Capture Therapy (BNCT) reactor. Based on the Geant4 simulations, the preliminary choice of the size of the collimator was determined. The materials were selected according to the literature data. Then, a collimator was constructed and tested on site. The results of experiment and simulation show that the thermal neutron flux at the end of theneutron collimator is greater than 10^6 n/cm^2/s, the maximum collimation ratio (L/D) is 58, the Cd-ratio(Mn) is 160 and the diameter of collimator end is 10 cm. This neutron collimator is considered to be applicable for neutron radiography., Comment: 5 pages, 5 figures, 6 references
Published: 2013
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17. A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

Author: Bravo, Laura, Simões, Joana FF, Cardoso, Victor R, Adisa, Adewale, Aguilera, Maria L, Arnaud, Alexis, Biccard, Bruce, Calvache, Jose, Chernbumroong, Saisakul, Elhadi, Muhammed, Ghosh, Dhruv, Gujjuri, Rohan, Harrison, Ewen, Ho, Michael WS, Kasivisvanathan, Veerappan, Kouli, Omar, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Isik, Arda, Marcus, Hani, Martin, Janet, McLean, Kenneth A, Minaya-Bravo, Ana, Modolo, María Marta, Nepogodiev, Dmitri, Pellino, Gianluca, Picciochi, Maria, Pockney, Peter, van Ramshorst, Gabriëlle, Riad, Aya, Sayyed, Raza, Sund, Malin, Gkoutos, Georgios, Bhangu, Aneel A, Glasbey, James C, Bravo, L, Cardoso, V, Glasbey, J, Chernbumroong, S, Nepogodiev, D, Simoes, JFF, Mclean, KA, Bhangu, AA, Gkoutos, G, Kadir, B, Omar, O, Revell, E, Bahrami-Hessari, M, Ahmed, Waheed-Ul-Rahman, Argus, Leah, Ball, Alasdair, Bhangu, Aneel, Bywater, Edward P, Blanco-Colino, Ruth, Brar, Amanpreet, Chaudhry, Daoud, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Glasbey, James C, Gujjuri, Rohan R, Jones, Conor S, Harrison, Ewen M, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Li, Elizabeth, Mann, Harvinder, Marson, Ella J, Mclean, Kenneth A, Nepogodiev, Dmitri, Norman, Lisa, Ots, Riinu, Outani, Oumaima, Picciochi, Maria, Santos, Irène, Shaw, Catherine, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, Xu, William, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Modolo, Maria Marta, Cox, Daniel, Pockney, Peter, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Padmore, Greg, van Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Baiocchi, Glauco, Gomes, Gustavo Mendonça Ataíde, Lima Buarque, Igor, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Brar, Amanpreet, Martin, Janet, Ng-Kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong-Lin, Calvache, Jose Andres, Perez Rivera, Carlos J-, Danic Hadzibegovic, Ana, Kopjar, Tomislav, Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El-Hussuna, Alaa, Batista, Sylvia, Lincango-Naranjo, Eddy, Emile, Sameh, Arévalo Sandoval, Danilo Alfonso, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Kwesi Acquah, Daniel, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera-Arevalo, Maria-Lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Ghosh, Dhruva, Kembuan, Gabriele, Brouki Milan, Peiman, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Satoi, Sohei, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin-Young, Jang, Jamal, Mohammad, Karout, Lina, Elhadi, Muhammed, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Roslani, April Camilla, Durán Sánchez, Iran Irani, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Ramos-De la Medina, Antonio, Nunez, Jade, Outani, Oumaima, Nashidengo, Pueya Rashid, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Varghese, Chris, Wright, Deborah, Abdur-Rahman, Lukman, Ademuyiwa, Adesoji, Adisa, Adewale, Osinaike, Babatunde, Seyi-Olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Qureshi, Ahmad Uzair, Sayyed, Raza, Abo Mohsen, Mustafa, Abukhalaf, Sadi A., Cukier, Moises, Gomez-Fernandez, Hugo, Shu Yip, Sebastian, Vasquez Ojeda, Ximena Paola, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard-Alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Allen Ingabire, Jc, Bucyibaruta, Georges, Faustin, Ntirenganya, 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Déserts, Marc, André, Benoît, Slim, Karem, Verhaeghe, Romain, Police, Andrea, Girard, Edouard, Chebaro, Alexandre, Subayi Nkembi, Armande, Arnalsteen, Laurent, Ballouhey, Quentin, Mege, Diane, Jeandel, Clement, Duchalais, Emilie, Bouche, Pierre-Alban, Manceau, Gilles, Crétolle, Célia, Hervieux, Erik, Girard, Noémie, Seguin-Givelet, Agathe, Gaujoux, Sebastien, De Simone, Belinda, Boisson, Matthieu, Bergeat, Damien, Arnaud, Alexis P, Fredon, Fabien, Nappi, Francesco, Kassir, Radwan, Scalabre, Aurélien, Migliorelli, Federico, Ezanno, Anne-Cecile, Seeliger, Barbara, Vaysse, Charlotte, Charbonneau, Helene, Misrai, Vincent, Abbo, Olivier, Angeles, Martina Aida, Brunaud, Laurent, Demetrashvili, Zaza, Modabber, Ali, Wolf, Sebastian, Kamphues, Carsten, Höhn, Philipp, Glowka, Tim R., Rokohl, Alexander Christopher, Bork, Ulrich, Fluegen, Georg, Horch, Raymund E., Schmedding, Andrea, Schnitzbauer, Andreas, Eberbach, Helge, Schlager, Daniel, Spelsberg, Fritz, Keppler, Lena, Hecker, Andreas, Wolfer, Susanne, Ronellenfitsch, Ulrich, Nitschke, Christine, Peiper, Christian, Hakami, Ibrahim, Welter, Stefan, Nikolaieva, Karine, Roth, Andreas, Lindert, Judith, Gousias, Konstantinos, Rissmann, Anke, Linz, Valerie Catherine, Rahbari, Nuh, Rassweiler-Seyfried, Marie-Claire, Gut, Anna Eleonora, Gempt, Jens, Reim, Daniel, Wagner, Arthur, Albertsmeier, Markus, Keppler, Alexander M., Stoleriu, Mircea Gabriel, Saier, Tim, Stadler, Josef, Kaiser, Julia Christina, Brunner, Stefan M., Pfister, Karin, Herzberg, Jonas, Nowak, Kai, Reinhard, Tobias, Stavrou, Gregor A., Königsrainer, Alfred, Konrads, Christian, Quante, Markus, Laban, Simon, Pusch von, Silke, Hirschburger, Markus, Doerner, Johannes, Wiegering, Armin, Tampaki, Ekaterini Christina, Gutiérrez Ruiz, Alitza, Rodas, Alejandra, Portilla, Ana Lucía, Recinos, Gustavo, Aguilera-Arevalo, Maria-Lorena, Carrera, Jacqueline, Barrios Duarte, Amalia, Lowey, Megan, Barillas, Sabrina, Vaishnav, Dhaivat, Gorantlu Chowdappa, Raghunandan, Madabhavi, 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Okunlola, Abiodun, Williams, Omolara, Adisa, Adewale, Abdur-Rahman, Lukman, Kache, Stephen, Sale, Danjuma, Anyanwu, Lofty-John, Okereke, Chukwuma, Tolani, Musliu Adetola, Filipce, Venko, Todorovic, Lazar, Pejkova, Sofija, Stavridis, Sotir, Massoud, John George, Alsibai, Sareyah, Sultan, Rizwan, Altaf, Humera Naz, Bhatti, Abu Bakar Hafeez, Waqar, Shahzad Hussain, Aziz, Aliya, Kerawala, Asad Ali, Rai, Lajpat, Anwer, Mariyah, Tariq, Aiman, Ayub, Bushra, Niazi, Sami ullah, Naseem, Muhammad Yasir, Sarwar, Muhammad Zeeshan, Khokhar, Muhammad Imran, Zahid, Imdad Ahmad, Majid, Haroon Javaid, Talat, Nabila, Asif, Muhammad, Chaudhary, Muhammad Hamid, Farooq, Umer, Ahmad, Siddique, Mabood, Waleed, Bukhari, Syed Imran, Tariq, Muhammad, Yaqoob, Eesha, Javed, Saad, Usman Malik, Muhammad, Yaqoob, Hassan Nawaz, Cukier, Moises, Falcon Pacheco, Glenda Marina, Mas Melendez, Robinson, Paucar Urbina, Arazzelly Del Pilar, Rios Chiuyari, Jose, Otiniano Alvarado, Carlos Eduardo, Fuentes Rivera Lau, Lorena, Borda-Luque, Giuliano, Niquen-Jimenez, Milagros, Arias, Claudia, Zegarra, Sergio, Betalleluz Pallardel, Jenner, Ugarte Oscco, Regina Amparo, Mendiola, Gian, Carpio Colmenares, Yahaira Tatiana, Shiraishi Zapata, Carlos, Ortiz, Maria Rosa, Sacdalan, Marie Dione, Major, Piotr, Castro Borges, Filipe, Viveiros, Octavio, Serralheiro, Pedro, Santos-Costa, Paulo, Mendes, Filipa, Rocha Melo, Miguel, Cardoso, Paulo, Soares, Ana, Azevedo, José, Gonçalves Pereira, Rita, Silva, Nelson, Caiado, André, Sacras, Maria Luís, Azevedo, Pedro, Almeida-Reis, Rui, Cunha, Miguel F., Oliveira, João, Nogueiro, Jorge, Sampaio-Alves, Mafalda, Cidade Costa, Luciana, Baía, Catarina, Deus, Ana Cláudia, Branquinho, Rita, Marçal, André, Tojal, André, Makkai-Popa, Silviu Tiberiu, Mironescu, Aurel, Grama, Florin, Toma, Elena Adelina, Negoi, Ionut, Filipescu, Daniela, Bacalbasa, Nicolae, Motas, Natalia, Ionescu, Sebastian, Ginghina, Octav, Costea, Radu, Zarnescu, Narcis Octavian, Drasovean, Radu, Bonci, Eduard-Alexandru, Dimofte, Mihail-Gabriel, Porumb, Vlad, Kirov, Mikhail, Molitvin, Yegor, Litvin, Andrey, Pykhteev, Vadim, Raevskaya, Marianna, Efetov, Sergey, Butyrskii, Aleksandr, Alshahrani, Mushabab, Althumairi, Azah, Alzerwi, Nasser, Al Ameer, Ahmed, Madkhali, Tariq, Abddulrahman, Ghazwani, Salman, Ayoub, Abdu, Iskander, Othman, Ghunaim, Mohammed, Alharthi, Mohammed, Alzaidi, Turki M, Alyami, Mohammad, Al Amri, Abdulrahman, AlFakhri, Abdullah, Alhefdhi, Amal, Chowdhury, Sharfuddin, Nouh, Thamer, Alshehri, Ameen, Alzahrani, Abdulrahman, Alalawi, Dr Yousef, Awad, Selmy, Konate, Ibrahima, Ndong, Abdourahmane, Tendeng, Jacques, Teo, Nan Zun, Koh, Frederick, Košir, Jurij Aleš, Bele, Uros, Aqil, Sabra, Barrena López, Cristina, Sánchez Mozo, Ana, Rodriguez Infante, Antonio, Caja Vivancos, Patricia, Prieto, Mikel, Alberdi San Roman, Igor, Gomez Fernandez, Laura, Muñoz Vives, Josep Maria, Carreras-Castañer, Anna, Díaz-Feijoo, Berta, Sieira-Gil, Ramon, Turrado-Rodriguez, Victor, Sánchez López, Anna, 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Crego Vita, Diana, Dziakova, Jana, Minaya Bravo, Ana Maria, Caño Velasco, Jorge, Mateo-Sierra, Olga, Quintana-Villamandos, Begoña, Rey Valcarcel, Cristina, Rio, Javier, Román García de León, Laura, Di Martino, Marcello, Prada, Jorge, Serrano González, Javier, Losada, Manuel, Castell Gomez, Jose Tomas, Corripio-Sanchez, Ramon, Forero-Torres, Alexander, Morales-Puebla, José Manuel, Perez-Chrzanowska, Hanna, Valderrabano Gonzalez, Santiago, Yebes, Alvaro, Zapardiel, Ignacio, Diez Alonso, Manuel, Morales Palacios, Nelson, Cabañero Sánchez, Alberto, Sánchez Fernández, Fátima, Abad Gurumeta, Alfredo, Abad-Motos, Ane, Corella, Fernando, Ripollés-Melchor, Javier, Sanz-Gonzalez, Rosa, Alcaraz Fuentes, Marta, Fernández Martín, Maria Teresa, Calvo Espino, Pablo, Carrasco Prats, Milagros, Fernández-López, Antonio-José, García Escudero, Damián, Garcia Soria, Vanesa, Martínez Alonso, Jesús Aarón, Ruiz-Marín, Miguel, Gómez Pérez, Beatriz, Moya-Angeler, Joaquin, Fernández Martínez, Daniel, Llaquet 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Nagendra, Haque, Izhar-Ul, Herath, Matheesha, Kroon, Hidde M, Lim, Alicia, Moller, Cea-Cea, Neo, Eu Nice, Neo, Eu Ling, Russell, Christine, Tourani, Saam, Tran, Steven, Yin, Yijie, Watson, Matthew, Barker, John, Rugendyke, Anya, Watson, Eleanor, Sercombe, Ashleigh, Tee, Chin Li, Batstone, Martin, Field, Michael, Scott, Benjamin, Stevens, Sean, Charlton, Gabriella, Chen, Si, Gauri, Neha, Hayhurst, Ross, Jang, Seyoung, Zhang, Helen, Latif, Haider, Nagra, Sonal, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Bengeri, Savitha, Cheah, Hock Ping, Chen, Paul, Clark, Sara, Dawson, Amanda Caroline, Devan, Eliya, Fitt, Sophia, Gaul, John, Jolly, Danielle, Kane, James Dimitri, Kwok, Kelvin, Laura, Sharon, Lee, Vivian, Liang, Ina, Luo, Haili, Miles, Stephanie, Noor, Anthony, Simpson, Renwick, Cox, Aram, Thani, Nova, Egoroff, Natasha, Farik, Shebani, Moss, Jana-Lee, Wright, Deborah, Salama, Paul, Phan, Du, Townend, David, Chuan, Alwin, Barnett, Stephen, Hasan Kheslat, Hajar, 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Hafez, Nour, Hafez, Youssef, Hassanin, Mohamed, Hussein Aly Salama Aly, Hamza, Ibrahim, Abdelrahman, Mahmoud Abo shabana, Alaa, Mourad, Mohamed, Mubarek, Kamilia, Omar, Samaa, Ragal, Marawan, Romany, John, Salem, Alaa, Samir Abdelaal, Ahmed, Shehata, Sameh, Shehata, Abdelrahman, Shenit, Karim, Yehia, Nermin, Khaled Mohamed Eid, Omar, Ibrahim Elsayed, Omar, Shehata, Mostafa Ahmed, Abd El-Ghani, Wael, Abd Elazeem, Hossam Aldein S., Abdalla, Shimaa, Abdel-Aleem, Mahmoud, Abdelfattah, Mahmoud, Abdelhafez, Mohammed, Abdelkarem, Mohamed M., Abubeih, Hossam, Ahmed, Nagm Eldin Abu Elnga, Ahmed, Ahmed, Ahmed Saad, Sarah, Ali, Abdelrahman Ahmed Abdelrahman, Elmaghraby, Khaled, Elsdfy, Shady, Eltayeb, Almoutaz, Essam, Esraa, Gadelkareem, Rabea, Ghoneim, Ahmed, Hamada Takrouney, Mohammed, Hasan, Ahmad, Hassanin, Mohamed Abdelghafor, Mahran, Wesam, Mahrous, Doha, Ragab, Abdelrahman, Sabry, Aya, Safwat, Hadeer, Saleh, Ahmed, Samir, Ahmed, Sayed, Esraa, Taher, Mohamed Gamal, Yousof, Ebrahim Ahmed, Youssef, Ahmed, Zein Elabedeen, Omar, Ali, Samar, Elbehairy, Gehad, Eleisawy, Mahmoud, Elgendy, Abdelrahman, Elhawary, Rewan, Hamdy, Mahmoud, Hassan, Gehad, Nowar, Mostafa, Sabry, Hesham, Tarek Said-elnaby, Ahmed, Zahed, Mohamed, Zahran, Mohamed, Zoghary, Ahmed Zaki, Atef, Mohamed, Abdelhamid, Mahmoud Hossameldin Saad, El Fiky, Lobna, ElGarhy, Ibrahim, Qassem, Mohamed, Wahba, Abdelrahman, Youssif Omar Fouad, Omar, Abdelsamed, Ahmed, Elsalhy, Mohamed, Eldesouky, Omnia, Wael Mostafa Khalil Bahi, Abdullah, Tawheed, Ahmed, Al-oribi, Saeid, Aly, Nuran Khaled, ElFiky, Mahmoud, Nabil, Ahmed, Samir Farahat, Ahmed, Soliman, Mostafa, Ghaly, Galal, Abbas, Alzhraa Salah, Ibraheem, Maher, Bakry, Abdelrahman, Jammal, Mohamed, M Makram, Abdelrahman, Adel abdelaty, Ahmed, Fayad, Elsayed A., Sallam, Moataz, Shehta, Ahmed, Elfeki, Hossam, Elsaid, Mahmoud, Mostafa, Mohamed, Sakr, Ahmed, Shetiwy, Mohamed, Tawakl, Noura, Yunes, Asmaa, Atallah, Khalid, Shetiwy, Mosab, Abdelmawla, Ahmed, Abdrabou, Ahmed, Abubakr, Asmaa, Al Gohary, Rawda, Elsabagh, Alaa, Elshabrawy, Enas, Hafez, Ahmed, Mikhail, Pola, Mohamed, Mervat, Nada, Ahmed, Omran, Janna, Salem, Osama, Selim, Salma, Shalaby, Ghada, Wahbah, Mahmoud, Zakaria Abdelbary, Eman, Zayan, Ahmad Helmy, Afify, Abdelrahman, Mohamed Ahmed, Mostafa, Abdeldayem, Hesham, Abdelkader Salama, Ibrahim, Ammar, Khaled, Ayoub, Islam, Gad, Emad Hamdy, Hammad, Essam, Macshut, Mahmoud, Sherif, Ahmed Elshawadfy, Shoreem, Hany, Soliman, Hossam Eldeen, Eldaly, Abdullah, Mashaly, Sarah, Abd-Elsalam, Sherief, Abdel-Elsalam, Wafaa, Morsy, Mohamed Sherif, Nasreddin, Mohammed, Sarsik, Sameh, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abebe, Kirubel, Asfaw, Fitsum, Eshete, Mahder, Gedefaw, Yetsedaw, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Teklu, Daniel, Tirfe, Leake, Worku, Bereket, Eado, Yegeremu, Negussie, Abraham, Woldemariam, Mersha Abebe, Alemu, Megersa, Azmach, Dawit, Mamo, Dr.Mickyas, Menkir, Abel, Woldemariam, Dereje, Wubishet, Estifanos, Supha, Melka, Abebe, Nebyou, Chanie, Abera, Gebre, Hiwot, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Sahlu, Abat, Tiruneh, Abraham Genetu, Zewdneh, Betelhem, Fentaw, Jibril, Tabore, Ketema, Addisalem, Abreha, Tassew, Abdissa, Desalegn, Tesfaw, Mequannet, Asmamaw, Dawit, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Girma, Adissu, Shimelash, Dagim, Ayalew, Tewabe, Kassahun, Berhanu, Mulugeta, Esubalew, Sisay, Silamlak, Ibrahim, Adem, Mekete, Alem, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Siyoum, Eneyew Getachew, Zeleke, Ewunetu, Degefe, Derje Worku, Derilo, Habtamu, Eliyas, Nebiyu, Deressa, Yadani, Melese, Lemi, Muleta, Lemesa, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Dr.Gebreagziabher, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Moukoko, Didier, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Doussot, Alexandre, Onorati, Ilaria, Radu, Dana, André, Benoît, Marion, Herjean, Trilling, Bertrand, Boleslawski, Emmanuel, Noiret, Barbara, Aubry, Estelle, Subayi Nkembi, Armande, Christou, Niki, Usseglio, Julie, Jeandel, Clement, Denis, Waast, Duchalais, Emilie, Regenet, Nicolas, Rigaud, Jerome, Anract, Philippe, Dohan, Anthony, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Crétolle, Célia, Thouement, Clermidi, Pauline, Hervieux, Erik, Langlais, Tristan, Leonelli, Lorenzo, Thomin, Anne, Athiel, Yoann, Cathala, Nathalie, Levy-Zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Fabrice, Chartier-Kastler, Emmanuel, Chereau, Nathalie, Melot, Charlotte, Turco, Célia, Chouillard, Elie, Boisson, Matthieu, Frasca, Denis, Livin, Marie, Mahmoud, Fedy, Sulpice, Laurent, Arnaud, Alexis P, Cazemajou, Clément Thierry, Nyangoh Timoh, Krystel, Renault, Annaëlle, Nappi, Francesco, Ezanno, Anne-Cecile, Cherkaoui, Zineb, Vix, Michel, Gornes, Hugo, Berthoumieu, Pierre, Misrai, Vincent, Pierre, Trocard, Angeles, Martina Aida, Del, Mathilde, Vancon, Antoine, Machemedze, Solomon, Muhemi, Roger, Ndizeye, Olivier, O’Connor, Jennifer, Tchoba, Simplice, Modabber, Ali, Schäfer, Benedikt, Wallqvist, Julia, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Goßlau, Yvonne, Maksymiw, Florian, Sommer, Florian, Sommer, Björn, Loch, Florian N, Aghalarov, Ilgar, Braumann, Chris, Höhn, Philipp, Horn, Julian, Egger, Eva, Enderes, Jana, Strieth, Sebastian, Treede, Hendrik, Wittmann, Maria, Marche, Benedikt, Schulz, Sissy-Amelie, Fuchs, Hans, Bork, Ulrich, Meisel, Cornelia, Petzold, Andrea, Fluegen, Georg, Knoefel, Wolfram Trudo, Solodarenko, Oleksandra, Grützmann, Robert, Hackner, Danilo, Faqar-Uz-Zaman, Sara Fatima, Schnitzbauer, Andreas, Fung, Christian, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schlager, Daniel, Strähle, Jakob, Spelsberg, Fritz, Becker, Johannes, Gonschor, Bernhard, Herbolzheimer, Marit, Keppler, Lena, Hecker, Matthias, Reichert, Martin, Sander, Michael, Schmidt, Götz, Schneck, Emmanuel, Kleeff, Jorg, Lorenz, Kerstin, Ronellenfitsch, Ulrich, Thomssen, Christoph, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Klauke, Friederike, Schmidt, Birte, Vinz, Franziska, Sander, Johannes, Betz, Christian Stephan, Bewarder, Julian, Burg, Simon, Klatte, Till Orla, König, Daniela, Köpke, Leon-Gordian, Stangenberg, Martin, Roux, Frederic, Hakami, Ibrahim Abdullah, Mall, Julian W, Graeb, Christian, Huber-Strößner, Kristin, Pempe, Christina, Kelly, Kathrin, Siebert, Julia, Agrawal, Rachit, Gousias, Konstantinos, Qureischie, Homeira, Meyer, Frank, Rissmann, Anke, Turial, Salmai, Al-Nawas, Bilal, Battista, Marco Johannes, Heider, Julia, Mueller, Lena Katharina, Jentschura, Sina- Louisa Patrizia, Kowalewski, Karl-Friedrich, Rassweiler-Seyfried, Marie-Claire, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Fichter, Andreas, Gempt, Jens, Schäffer, Christoph, Wegmann, Helmut, Aghamaliyev, Ughur, Böcker, Wolfgang, von Ehrlich-Treuenstätt, Viktor H., Ladurner, Roland, Schlager, Justin Gabriel, Smolka, Wenko, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Stadler, Josef, Hölz, Katharina, Brunner, Stefan M., Prantl, Lukas, Herzberg, Jonas, Kröger, Marie, Niemeier, Andreas, Sras, Yara, Reinhard, Tobias, Löffler, Markus W., Steidle, Christoph, Dayan, Davut, Greve, Jens, Löbig, Niklas, Schochter, Fabienne, Wezel, Felix, Pusch von, Silke, Schmidbauer, Stefan, Boenicke, Lars, Degener, Stephan, Seiberth, Rose, Smit, Marieke, von Rundstedt, Friedrich-Carl, Germer, Christoph-Thomas, Lock, Johan, Lotz, Christopher, Schlesinger, Tobias, Schmid, Benedikt, Treutlein, Agnes, Agyeman-Duah, Nana Kwaku, Appiah, Enoch, Gakpetor, Delali, Minlah Allah, Stephen, Adu-Aryee, Nii Armah, Agboadoh, Nelson, Bediako Bowan, Antoinette, Brown, George Darko, Clegg-Lamptey, Joe-Nat, Fenu, Benjamin Sena, Kumassah, Philemon, Hussey, Romeo, Agbeno, Evans Kofi, Amoako-Boateng, Mabel, Debrah, Samuel, Doku, Dr Kingsley, Mensah, Philip, Nortey, Michael, Opandoh, Isabella Naa Morkor, Yigah, Makafui, Jiagge, Nuna, Acquaye, Jane, Agyemang-Prempeh, Akosua, Amo-Antwi, Kwabena, Amoah, Michael, Amoah, George, Aning, Daniel Gyawu, Annor Mintah, Dominic, Arthur, Joshua, Darko- Asante, Regina, Gaveh, Valerie, Gyamfi, Frank Enoch, Jonathan, Boakye - Yiadom, Konney, Thomas Okpoti, Kyei, Ishmael, Nimako, Boateng, Ofosu-Barko, Ben Blay, Osabutey, Anita, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abdul-Mumin, Alhassan, Amadu, Munira, Azahares Leal, German, Buunaaim, Alexis, Cheyuo, Ernest, Daboo Salifu, Latif, Issaka, Adamu, Yakubu, Musah, Grypiotis, Ioannis, Papadopoulou, Triada, Korkolis, Dimitrios, Thomakos, Nikolaos, Dellaportas, Dionysios, Dimitra, Papalouka, Hadjizacharias, Theodoros, Konstadoulakis, Manousos, Massaras, Dimitrios, Vezakis, Antonios, Avgerinos, Konstantinos, Kechagias, Aristotelis, Ioannidis, Argyrios, Patelis, Nikolaos, Deskou, Eirini, Stamos, Nikolaos, Tasis, Nikolaos, Danias, Nikolaos, Selmani, Jonida, Kalamatianos, Theodosis, Stranjalis, George, Kondilis, Panagiotis, Kanellopoulou, Vasiliki, Larentzakis, Andreas, Papanikolaou, Vasileios, Potamianos, Spyridon, Triantafyllou, Tania, Panagiotou, Peter, Avramidis, Emmanouil, Bessias, Nikolaos, Tsiantoula, Paraskevi, Charalabopoulos, Alexandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Papalampros, Alexandros, Terras, Alexis, Tsourouflis, Gerasimos, Zografos, Constantinos, Antzaka, Christina, Falara, Areti, Perreas, Konstantinos, Rellia, Panagiota, Tasouli, Androniki, Skolarikos, Andreas, Tzelves, Lazaros, Theodorakis, Emmanuel, Karona, Paraskevi, Tzouganakis, Angelos, Chrysos, Emmanuel, Nikolouzakis, Taxiarchis, Tourountzi, Paraskevi, Al, Aggeliki, Kalfountzos, Christos, Arnaoutoglou, Eleni, Christodoulidis, Gregory, Gkolias, Nick, Hajiioannou, Jiannis, Krestinidis, Giorgos, Ntalouka, Maria, Saini, Fani, Skoulakis, Charalampos, Terzoudis, Christos Dimitrios, Zacharoulis, Dimitris, Δακής, Κωνσταντίνος, Filo, Eva, Kontopoulou, Konstantina, Patoulias, Ioannis, Astreidis, Ioannis, Christidis, Panagiotis, Loutzidou, Lydia, Mantevas, Antonis, Tatsis, Dimitris, Tsakiridis, Ioannis, Iordanidou, Eirini, Brolo, Estuardo, Gutiérrez Ruiz, Alitza, De León Lima, María Alejandra, Flores, Mario-Andrés, Morales, Steffanía, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Barrios Duarte, Amalia, Talé-Rosales, Luis-Fernando, Villeda, Sergio Alejandro, Anicetti, Joshua, Lowey, Megan, Ardebol, Javier, Barillas, Kathia, Barillas, Sabrina, Recinos, Salvador, Hon, Sophie, Liu, Alex Qinyang, Liu, Shirley, Ip, Ho Wai, Mak, Brian, Mok, Chung Ying, Wong, Kiu Fung, Au-Yeung, Kit Ying, Chan, David Yuen Chung, Chiu, Wang Kei, Ho, Jacky Yan Kit, Kung, Janet Wui Cheung, Ling, Samuel Ka Kin, Lok, Hon Ting, Teoh, Jeremy Yuen-Chun, Wong, Randolph, Antal, Zsuzsanna, Bahrehmand, Kiarash, Sztipits, Tamás, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Herczeg, György, Saftics, György, Kulcsicka-Gut, Judit, Sipos, Zsófia, Majmudar, Hardil, Madabhavi, Irappa, G S, Anitha, Kesarla, Venkatesh, Kumar Venkatappa, Sunil, P B, Hareesh, Shivashankar Chikkanayakanahalli, Santhosh, Sunil, Tanvi, Rajagopal, Niranjana, P L, Thirumanikandan, Mishra, Nitu, Wadhwani, Dr Rekha, Dhurwe, Ritika, Pushpalatha, Kameshwarachari, Raj, Sumit, Singh, Pooja, Kumar, Pankaj, Mittal, Yash, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Sahu, Rabi, Sultania, Mahesh, Tripathy, Sujit, Kansay, Rajeev, Gupta, Sunil Kumar, Kaman, Lileswar, Salunke, Pravin, Singh, Kavindra, Rela, Mohamed, Goudar, Swati, B, Barani kumar P, Murugesan, Anandan, Subbian, Anbukkani, Kumar, Arvind, Chauhan, Tapan singh, Govil, Akhil, Gupta, Shubhra, Sharma, Ashish, Tiwari, Saurabh, Vishwani, Vartika, Evelyn. R, Nissi, Deb, Mainak, Jayaram, Harish, Nagpal, Pooja, Pathak, Prachi, Choudhary, Gautam Ram, Chugh, Ankita, Elhence, Abhay, Madduri, Vijay, Pandey, Himanshu, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Vishnoi, Jeewan Ram, Bhende, Vishal, Chatterjee, Debarshi, Ghosh, Indranil, Naskar, Upasana, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Priya, Noopur, Parijat, Anand, Anand, Akshay, Bajaj, Ankur, Chaurasia, Akhilanand, Enny, Loreno E., Kumar, Ambrish, Mishra, Brijesh, Pandey, Amita, Rajan, Shiv, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Pushp, Singh, Uma, Singh, Urmila, Srivastava, Chhitij, Verma, Manju Lata, Yadav, Awdhesh, Agarwal, Gaurav, Chanthar, K.m.m.vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Dhar, Tapasya, Dutta, Rohini, Haque, Parvez David, Jain, Ritu, Luther, Anil, Mahajan, Amit, Pargal, Dr Pinki, Samuel, Abhishek, Singh, Inderjot, Singh Grewal, Sarvpreet, Singhania, Anusha, Alexander, Philip, Thomas, Josy, Krishna, Sunil, Singh, Narinder, Agarwal, Sunny, Balasubramaniam, Srikant, Dharap, Satish, Mhamane, Rameshwar, Nirgude, Anand, Parab, Sandesh, Peswani, Amit, Sahu, Anjana, Samel, Sarika, Shah, Fagun, Abraham, Bejoy, Asari, Ashishkumar, Badhe, Vivek, Badhwar, Sanjiv, Bothara, Vipul, Dalal, Anuj, Date, Avinash, Deshpande, Mandar, Doshi, Anirudha, Gade, Maya, Gajjar, Shreyash, Ghugare, Dr bhavisha, Jain, Divakar, Jenasamant, Saumya Sekhar, Joshi, Vinay, Kalwadia, Neha, Kayal, Akshat, Kulkarni, Yogesh, Mistry, Rajesh, Mulchandani, Manoj, Parab, Dr. Mrunal, Pednekar, Abhinav, Rahmani, Faizan, Rajput, Sunil, Sandlas, Gursev, Sarkar, Hrishikesh, Shetty, Sanket sadanand, Shukla kulkarni, Anshumala, Thete, Raghavendraswami, Wasnik, Shruti, Dhumane, Parag, Sharma, Rahul Deo, Deshmukh, Anuja, Gupta, Stuti, Nayak, Prakash, Thiagarajan, Shivakumar, Tiwari, Virendra Kumar, Voppuru, Saiesh Reddy, Soni, Rajesh, Bajpai, Minu, Farooque, Kamran, Parshad, Rajinder, Sharma, Vijay, Bansal, Kuldeep, Bains, Lovenish, Bhardwaj, Rohit, Mittal, Abhishek, Ponnusamy, Sabarirajan, Ghodke, Rahul, Himani, Kumar, Ashwani, Gadekar, Anup, Panjwani, Taufiq, Maji, Suvendu, Basu, Somprakas, Kandwal, Pankaj, Kumar, Shashank, Poonia, Dharma Ram, Sadhasivam, Saravanan, Mahakalkar, Chandrashekhar, Choudhury, Yousuf, Das, Devishmita, Goala, Subhadra, Singha, S Thoibisana, Singha, Damayanti, Mehraj, Asif, Parray, Fazl, Shah, Raahil, Wani, Rauf, Hegde, Siddhi, Ankadavar, Dr.sushil, Bafna, Darshan, Lad, Parag, Chisthi, Meer, Jothi, Harihara, .C. Mathew, Godwin David, Abel, Livingston, Barla, Ravi Kishore, Benjamin, Santosh, Bliss, Jeremy, Ete, Geley, James, Deeptiman, Jesudason, Mark Ranjan, Karnan, Gomathi, Mark Samuel, Vasanth, Mittal, Rohin, Nathan, Senthil K, Selvaraj, Daniel, Surendran, Suraj, T D, Hariharan, Thangaraj, Santhosh Kumar, Thomas, Varghese, Dilmy, Mohammad Adya Firmansha, Pratama, Dedy, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Anam, Khoirul, Sugianto, Julius Albert, Lestari, Mayang Indah, Amba, Erick Gamaliel, Apriawan, Tedy, Wathoni, Roidah Taqiyya Zahra, Widyastuti, Yunita, Yun Jufan, Akhmad, Etezadpour, Mohammad, Mehrad-Majd, Hassan, Rajaei, Parisa, Mehdizadeh, Mohammad, Soltani, Mina, Pour, Ali Moazami, Azarnia, Gholamreza, Alizadeh, Narges, Mokarami, Hossein, Tehrani, Shahrzad, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Fatemi manesh, Hassan, Hejazi, Seyed fakhreddin, Pezeshki Modarres, Mahdi, Shafiee, Ali, Vafaeimanesh, Jamshid, Hosseini, Elahe, Nikoupour, Hamed, Bastaninejad, Shahin, Firouzifar, Mohammadreza, Motasaddi zarandy, Masoud, Yazdani, Nasrin, Yousefzadeh Kandevani, Naser, Mortazavi, SM Javad, Ahmadi, Sayedali, Khosravi, Mohammad Hossein, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Al-Isawi, Ali, Al-Masood, Mohammed, Gahtan, Yarub, Ahmed, Abdullah, Hilmi, Ahmed, Muhssein, Haidar, McNestry, Catherine, Ekwere, Bosom, Essajee, Murtaza, Chan Chin, Bruno, Edwards Murphy, Amy, Fleming, Christina, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Kayyal, Mohd yasser, Lyons, Maria, O’Brien, Stephen, Ng, Mei Yee, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Harris, Johnathon, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Salloum, Croghan, Stefanie M, Donohoe, Emma, Larkin, John, Lynch, Thomas Hugh, Manecksha, Rustom, Nagassima, Katharina, Barry, Mary, Cullinane, Carolyn, Dowdall, Joseph, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Murphy, Ben, Njeze, Nwabundo, Reynolds, Ian Sean, Winter, Des, Ravi, Akshaya, Ridgway, Paul, Fowler, Amy, McAnena, Peter, Bahadoor, Muhammad Usaama, Kabir, Syed Mohammad Umar, Khalid, Mohamed Hamed, Mujtaba, Syed Nadeem, Sarwar, Muhammad assam, Sugrue, Michael, Varzgalis, Manvydas, Jones-Whiting, Larne, Lim, Seantee, Ryan, Éanna, Sara, Al-Mukhaizeem, Youssef, Crowley, Clare, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Hill, Rhodri, Khalid, Muhammad Abdullah, Majeed, Zubair, McCullough, Peter, Neary, Peter, Noone, Anthony, O’Kelly, John, Abu abed, Arsan, Haim, Nadav, Hershkovitz, Yehuda, Majadla, Omar, Rabin, Igor, Zmora, Osnat, Demma, Yonatan Avraham, Fishman, Yuri, Farkas, Amicur, Gozal, Yaacov, Greenman, Dmitry, Ostrovsky, Israel Alexander, Pardes, Rivka, Shahar, Tal, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Cianci, Pasquale, Minafra, Marina, Restini, Enrico, Bussolin, Edoardo, De Prizio, Marco, Sulce, Rezart, Poiasina, Elia, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Boussedra, Safia, Cescon, Matteo, Cipolli, Alessandro, Daddi, Niccolo’, De Crescenzo, Eugenia, De Iaco, Pierandrea, Del Gaudio, Massimo, Della Gatta, Anna Nunzia, Droghetti, Matteo, Giorgini, Federico A., Lanci Lanci, Antonio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Perrone, Anna Myriam, Pignatti, Marco, Puglisi, Silvana Bernadetta, Rottoli, Matteo, Schiavina, Riccardo, Serenari, Matteo, Serra, Margherita, Tesei, Marco, Violante, Tommaso, Aspide, Raffaele, Carretta, Alessandro, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Rosetti, Vittoria, Sturiale, Carmelo, Donati, Davide Maria, Palmerini, Emanuela, Berselli, Bruno, Bolognesi, Silvia, Farnia, Francesco, Maremonti, Pietro, Razzaboni, Alessandra, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Molfino, Sarah, Panciani, Pier Paolo, Sartori, Enrico, Zanin, Luca, Perrone, Fabrizio, Cappellani, Alessandro, Giaquinta, Alessia, Gioco, Rossella, Veroux, Pierfrancesco, Cianci, Antonio, Lo Giudice, Arturo, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, De Paola, Gilda, Giannaccare, Giuseppe, Sammarco, Giuseppe, D’Andrea, Marcello, Tosatto, Luigino, Mucilli, Felice, Muraglia, Angelo, Giuliani, Domenico Benvenuto, Segalini, Edoardo, Daniele, Alberto, Gelarda, Enrico, Olearo, Elena, Puppo, Andrea, Testa, Valentina, Porta, Andrea, Birindelli, Arianna, Bernabei, Massimiliano, Feo, Carlo V., Virgilio, Edoardo, Bartolini, Ilenia, Bottari, Andrea, Checcucci, Carlotta, De Vincenti, Rosita, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Maltinti, Gherardo, Taddei, Antonio, Michelagnoli, Stefano, Maccagnano, Giuseppe, Pesce, Vito, Ercolani, Giorgio, Fappiano, Francesca, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Ferrero, Simone, Sparavigna, Marco, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, Spampinato, Marcello Giuseppe, Chiarelli, Marco, Grandi, Samuele, Lenzi, Riccardo, Muscatello, Luca, Germano’, Antonino Francesco, Giani, Alessandro, Bissacco, Daniele, Cassinotti, Elisa, Pignataro, Lorenzo, Torretta, Sara, Armellin, Daniele, Basato, Silvia, Carrano, Francesco Maria, Colombo, Giovanni, De Lucia, Francesca, De Virgilio, Armando, Ferreli, Fabio, La Raja, Carlotta, Milana, Flavio, Rossi, Vanessa, Russo, Elena, Tamburello, Sara, Zerbi, Alessandro, Bona, Davide, Adamoli, Laura, Ansarin, Mohssen, Chu, Francesco, De Berardinis, Rita, Pietrobon, Giacomo, Sedda, Giulia, Caputo, Maria, Cellerino, Paola, Crespi, Michele Achille, Danelli, Piergiorgio, Ferrara, Francesco, Baccellieri, Domenico, Candiani, Massimo, Casiraghi, Arianna, Cipriani, Federica, De Nardi, Paola, Mortini, Pietro, Nocera, Gianluca, Pozzoni, Mirko, Ruffolo, Alessandro Ferdinando, Spina, Alfio, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Fresilli, Stefano, Landoni, Giovanni, Lombardi, Gaetano, Bonomi, Stefano, Guaglio, Marcello, Sala, Laura, Segattini, Silvia, Piccoli, Micaela, Migliore, Marco, Sasia, Diego, Cereda, Marco, Dell’Oro, Cristina, Fogliati, Alessandro, Tamini, Nicolò, Castaldi, Antonio, Bracale, Umberto, Lionetti, Ruggero, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, D’amico, Maria, Izzo, Francesco, Marra, Ester, Marte, Gianpaolo, Bianco, Francesco, Cappiello, Antonio, Iovino, Claudio, Menna, Maria Paola, Romano, Francesco maria, Rossi, Settimio, Sciaudone, Guido, Ascari, Francesca, Bellora, Paolo, Cerri, Cristina, D’Aloisio, Giordana, Ferrari, Maurizio, Chioffi, Franco, Ciccarino, Pietro, Nezi, Giulia, Bissolotti, Guido, Di Donna, Mariano Catello, Licari, Leo, Salamone, Giuseppe, Toia, Francesca, Annicchiarico, Alfredo, Berretta, Roberto, Capozzi, Vito Andrea, Freyrie, Antonio, Frusca, Tiziana, Arici, Vittorio, Bozzani, Antonio, Filardo, Matteo, de Manzoni Garberini, Andrea, Cauteruccio, Michele, Caristo, Giuseppe, Calabrò, Marcello, Andreani, Lorenzo, Antonio, D’arienzo, Berrettini, Stefano, Colangeli, Simone, Cremonini, Camilla, Dallan, Iacopo, Di Franco, Gregorio, Korasidis, Stylianos, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Statuti, Erica, Tartaglia, Dario, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Ubiali, Paolo, Coiro, Saverio, Mele, Simone, Corbellini, Carlo, Masciandaro, Antonio, Carannante, Filippo, Denaro, Vincenzo, Mazzotta, Erica, Zampogna, Biagio, Cinquepalmi, Matteo, Del Basso, Celeste, Guglielmo, Nicola, Meniconi, Roberto Luca, Sinibaldi, Giovanni, Agnes, Annamaria, Belia, Francesco, Bianchi, Valentina, Cozza, Valerio, Fico, Valeria, Fransvea, Pietro, La Greca, Antonio, Litta, Francesco, Pascale, Marco Maria, Silvia, Tedesco, Benevolo, Maria, Campo, Flaminia, Dona’, Maria Gabriella, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Petruzzi, Gerardo, Pichi, Barbara, Tuderti, Gabriele, Bellato, Vittoria, Grande, Michele, Petagna, Lorenzo, Sensi, Bruno, Bruzzaniti, Placido, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, D’ambrosio, Giancarlo, De Toma, Giorgio, Familiari, Pietro, Fonsi, Giovanni Battista, Pata, Francesco, Picchetto, Andrea, Salvati, Maurizio, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, Ibrahim, Mohsen, Menna, Cecilia, Rendina, Erino Angelo, Accarino, Giulio, Giancarlo, Accarino, Froiio, Caterina, Copelli, Chiara, Di Maio, Pasquale, Giudice, Marco, Altana, Cristian, Ciccarello, Sandro, Cossu, Maria Laura, Dessole, Francesco, Dettori, Salvatora, Madonia, Massimo, Petrillo, Marco, Piredda, Franco, Rizzo, Davide, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Marano, Luigi, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Roviello, Franco, Abrate, Alberto, Clarizia, Guglielmo, Franzini, Marco, Fratto, Antonio, Grechi, Alessandro, Scarnecchia, Elisa, Maiuri, Vincenzo, Dalprà, Francesca, Battistella, Enrico, Romano, Maurizio, Aizza, Giada, de Manzini, Nicolò, Drigo, Davide, Mastronardi, Manuela, Palmisano, Silvia, Bardelli, Laura, Borroni, Giacomo, Livraghi, Lorenzo, Palumbo, Mara, Zullo, Alessandra, Vignotto, Chiara, Caravati, Andrea, De Cristofaro, Carlotta, Giuliani, Tommaso, Guglielmi, Alfredo, Pedrazzani, Corrado, Butturini, Giovanni, Moretto, Gianluigi, Mastriale, Francesco, Olmi, Stefano, Kushikata, Tetsuya, Oyama, Tasuku, Kamiyama, Mizue, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Deguchi, Yoshihiko, Hoshino, Tatsuki, Inoue, Hiroyuki, Ito, Shingo, Takano, Emi, Yamamoto, Masae, Matsuki, Yuka, Matsumoto, Takashi, Sawada, Atsushi, Sato, Kozo, Makino, Jun, Mizota, Toshiyuki, Yonekura, Hiroshi, Ishikawa, Haruka, Kaiho, Yu, Ogawa, Munehiro, Endo, Shunji, Fujiwara, Yoshinori, Kubota, Hisako, Okada, Toshimasa, Hisamatsu, Yoji, Michiura, Taku, Satoshi, Okazaki, Fujita, Tomoyuki, Fukushima, Satsuki, Otsuka, Yuji, Sawada, Ikumi, Miyamoto, Morikazu, Isada, Tetsuro, Bani Amer, Qaed, Fujimoto, Yuki, Kuratani, Norifumi, Takada, Misa, Noro, Shusaku, Kuroda, Naoto, Okamura, Yukiyasu, Uesaka, Katshuhiko, Kuroda, Kento, Abe, Nobutsugu, Ando, Tadao, Hirano, Kouichi, Kobayashi, Yoichi, Motoyasu, Akira, Noguchi, Hikari, Tajima, Atsushi, Toyama, Satoshi, Uchida, Tokujiro, Furukawa, Yuri, Hasumi, Yoko, Iida, Katsuyuki, Ikeda, Tatsuhiko, Kuzuhara, Shigeki, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Kawai, Akira, Nakata, Yoshinori, Sawamura, Shigehito, Kobayashi, Takayuki, Alqudah, Majdi Ali, Alrabadi, Mera, Owais, Qais, Smadi, Aseel, Abunawas, Huthifa, Alhawatmeh, Mohammad, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, Jaradat, Enas, Mubaydeen, Teeba, Alzraikat, Sayel H., Omari, Rand Y., Suradi, Haya H., Al Abdallah, Murad, Al Bdour, Zakaria, Al-thaher, Mohammad, Alnajjar, Tareq, AlZaatreh, Mohammad, Ayasra, Faris, Ghayada, Ibrahim, Hasanein, Khaled Moh’d Ahmed, Hassouneh, Anas, Hijazeen, Raid, Khasawneh, Barihan, Semrin, Qusai, Theab, Mohammad, Abazeed, Alaa, Alkurdieh, Moh’d Mujahed, Hammouri, Mohammad, Khader, Sereen, Abu Obead, Hamza, Abudari, Hadeel, Al-azzeh, Nimer, Al-Darabah, Ali, Al-Qannas, Mohammad, Ashour, Subhi, Chabaan, Reem, Fawzi, Ahmad, Haij, Manal, Hassouneh, Esraa, Ibrahim, Zainab, Mohamed, Ishak, Qandeel, Mahmoud, Qassem, Faisal, Shorman, Marwan, Nofal, Sandra, Salameh, Mohammed, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Baninasr, Eman, Abuleil, Amro, Abou Chaar, Mohamad K., Al-latayfeh, Motasem, Al-Shudifat, Abdel-Ellah, Shaikh Ahmad, Abd Almonem, Abu Abed, Laith, Allouzi, Mohammad, Almi’ani, Sari, Alsaiad, Abdulhakim, Daoud, Maher, Dawod, Omar, Fadli, Saba, Jimaale, Elmi Ahmed Mohamed, Qulaghassi, Zaki, Al-howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al-Dabaa, Tawfik, Al-Jarrah, Salsabeel, Alshannaq, Qutaiba, Alsulaiman, Rima, Audat, Ziad, Bdour, Saja, Khatatbeh, Ro’a, Marji, Fares, Abu Ismail, Dima.Y, Abu-Ismail, Luai, Alzoubi, Mai, Alzoubi, Malak, Hussein, Hasan, Rawashdeh, Shireen, Ababneh, Adnan, Abu-Eisheh, Basil, Al Shurman, Hana’, Al-atiyah, Hussam, Aljaiuossi, Anas, Hamdoni, Sara, Kulimbet, Mukhtar, Sakhov, Orazbek, Fakhradiyev, Ildar, Tanabayeva, Shynar, Zhussupov, Baurzhan, Amrayev, Sultan, Kukubassov, Yerlan, Parker, Robert, Mwaria, Claude, Kibunyi, Muthoni, Mailu, Claire, Osea, Lydia, Hirsi, Omar, Dashti, Mustafa, Aldalal, Shuaib, Alozairi, Ous, Al-Shaiji, Tariq, Alhunaidi, Omar, Aljewaied, Ali, Farag, Ahmed, Termos, Salah, Sivins, Armands, Apse, Ingus Arnolds, Kaminskis, Aleksejs, Pāvulāns, Jānis, Itani, Rania, Owiedat, Mustafa, Antonios, Ingrid, Milan Moussa, Rita, Abdel Sater, Ali H., Souleiman, Bassem, Ghiya, Peter, Fakih, Ghinwa, Tamoos, Khalil, Abdulrahman, Taha, Omar Abunaaja, Hayat, Al Gasi, Abd El Jawad, Al maadany, Faraj, Alsaeiti, Sara, Elkhafeefi, Fatimah, Alhouni, Tarek, Alkeelani, Hana, Alkuwafi, Rauoof, Elbargathe, Osama, Elfadli, Mustafa, Elmahgoub, Asma, Alansari, Arowa hassan abdulrahman, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Khel, Samer, Yousef, Rowaida, Abuhlaiga, Ma’aly, Abushahma, Ahmed omar, Aldelensi Alzubi, Alhosen Saleh M, Alnehum, Mohamed alnaser, Alzedam, Ahmad, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Kamoka, Elhusain, Salamah, Abdulrauf, Abdeewi, Saedah, Eshnaf, Mabroka, Yahmad, Mohammad, Aljuroushi, Omar, Attia, Hajer, Emran, Ayyah, Samer, Ashraf, Abdullah, Duha milad, Ben esmael, Esraa, Benmasoud, Fatma, Debri, Laila, Younis, Balkees, Elmabrouk, Amna, Hasan, Ameerah Mahdi Abraheem, Suliaman, Taha, Alawami, Mohammed, Alshareea, Entisar, Aribi, Tomather, Lamari, Amani hamid, Mufth, Mohammed, Aburima, Sarah, Al shukri, Asmaa, Alarabi, Rehab, Alelwany, Aisha, Bashir, Rasha, Elhadi, Ahmed, Elkouba, Esraa, Ellojli, Ibrahim, Elmsherghi, Nabiha, Haidar, Arwa, Helal, Hala, Kriem, Eslam, Turshani, Laila, Alayan, Mohammed, Ben Hasan, Hayat, Shaban Ben Hasan, Najat, Shaban Ben Hasan, Rabab, Dambrauskas, Zilvinas, Dekeryte, Inga, Koženiauskaitė, Akvilė, Maleckas, Almantas, Venclauskas, Linas, Zilinskas, Justas, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Jurgaitis, Jonas, Mikutaitis, Vytenis, Samalavicius, Narimantas Evaldas, Slepavicius, Algirdas, Vasiliauskas, Bernardas, Dulskas, Audrius, Cekauskas, Albertas, Gulla, Aiste, Zelvys, Arunas, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Andriantsoa, Herimampionona E, Samison, Luc Hervé, Tsiambanizafy, Guillaume Odilon, Solo, Corinne Eulalie, Safiry Andofenohasina, Fanonjomahasoa, Sablon Herinirina, Angelin, Das, Andre, Osman, Mohd Firdauss, Soh, Jien Yen, Zakaria, Zaidi, Chan, Kheng Hooi, Johan, Syamim, Mah, Jin Jiun, Subramaniam, Sentilnathan, Ibrahim, Mohd Razali, Nazimi, Abd Jabar, Bal, Pavin, Fadzli, Ahmad nazran, Jamaris, Suniza, Lee, Yeong Sing, Lim, Jeffery Zk, Moh Pauzi, Siti Farhan, Nair, Ashvin Krishna, Ng, Doris Sin Wen, Ng We Yong, Yuki Julius, Roslani, April Camilla, Saaid, Rahmah, Sethi, Neha, Syed Jafer Hussain Zaidi, Syeda Nureena, Teoh, Li Ying, Munjih, Islah, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ahmad, Abdul Rauf bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Abdul Rahman, Noorneza, Firman, Fatin, Hazleigh, Nik Mohd, Mohd Miswan, Mohd Fairudz, Mohd Zahid, Akmal Zulayla, Yahaya, Mohd Yusoff bin Yahaya, Yusoff, Ahmad Ramzi, Darryl, Brincat, Svetlana, Caruana, Clifford, Chircop, Daniel Mario, Czok, Viktoria, Muscat, Esther, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Jonathan Rubén, Cedillo Rodrìguez, Rojas Aguilar, Antonio, Sosa Duran, Erik Efrain, Arroyo, Diego, Martinez-Said, Hector, Medina-Franco, Heriberto, Pérez de León Vázquez, Martha Patricia, Soto Hernández, Fidel, Stenner, Juan Ignacio, Zuloaga Fernandez del Valle, Carlos Jose, Colunga Tinajero, Carlos Andres, Yanowsky-Reyes, Guillermo, Camacho Gomez, Aldo, Cueva-Martinez, Esteban, Durán Anguiano, Oscar, García Castillo, Miguel, Gonzalez Ojeda, Alejandro, González-García de Rojas, Erick Alonso, Guzman Barba, Jose Aldo, Ibarrola Peña, Juan Carlos, Íñiguez Martínez, César, Llamas- Macias, Francisco Javier, Ambriz Gonzalez, Gabriela, Morales valencia, Eduardo, Santos, Blanca, Torres Cisneros, Juan Roberto, Bozada-Gutiérrez, Katya, Alvarez, Maria Regina, de la Rosa Abaroa, Marco Antonio, Hernandez, Roberto, Bernardo, Anaya, Ernesto, Arceo-Olaiz, Ricardo, Lopez Flores, Sonia, Esparza Arias, Nereida, Romero Bañuelos, Esmeralda, Salcedo-Hernández, Rosa, Buerba, Gabriela Alejandra, Chan, Carlos, Garay Lechuga, Daniel, Hinojosa, Carlos, Mercado, Miguel Ángel, Peña Gómez Portugal, Emmanuel, Posadas-Trujillo, Oscar Emmanuel, Hernandez Skewes, Karla Yareli, Licona-Meníndez, Roque Delfino, Romero Lechuga, Fernanda, Roque, Oscar, Núñez-González, Roberto Ángel, Alvarez Manilla Orendain, Alfonso, Garcia, Felipe, González León, Juan Antonio, Guzman, Marlin, Herappe, Dorihela, Lerma, Ricardo, Mendoza Pedraza, Fabián Hilario, Noguez Castillo, Monica, Resendiz, Jose Anatolio, Fernandez Rios, Laura Elena, Frigerio, Pamela, Garcia, Iset, Mendoza Frías, Gloria Isela, Anzures Mendoza, Alejandra, Hdez Miguelena, Luis, Zarate Saenz, David, Zavala gonzalez, Miguel angel, Andrade González, Francisco, Cortes, Ludivina, Gurghiș, Radu, Sanjaa, Burmaa, Ait benhamou, Rita, Rghioui, Mounir, Saaf, Sarra, Letrache, Ahmed, Zekhnini, Meryem, Abichou, Wijden, Baroudi, Salma, Hassoun, Chiraz, Zaim, Ouijdane, Arkha, Yasser, Bechri, Hajar, Benchekroun Belabbes, Meryem, Benslimane, Zaineb, Boualila, Lina, El Ouahabi, Abdessamad, Essakalli Hossyni, Leila, Tagmouti, Adam, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Ndayishyigikiye, Marcel Didier, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Bhusal, Subarna, Dwa, Yam, Bloemers, Frank, Besselink, Marc, van Amstel, Paul, Smeele, Ludi, Harlaar, Niels, van der Burg, Sjirk, Noltes, Milou, Steinkamp, Pieter, Franken, Josephine, Oosterling, Steven, Nolte, Peter, Alwayn, Ian, Braat, Andries, Goudsmit, Ben, van de Leemkolk, Fenna E.M., Albers, Kim, Van Goor, Harry, van Ginhoven, Tessa M., Schweitzer, Donald, Leclercq, Wouter, Vancoillie, Peter-Jan, Konsten, Joop, den Boer, Frank, Djamali, Kaveh, Ghamri, Naji, Joseph, Reece, Lie, Samuel, Olliff, Sue, Wood, Daniel, Furkert, Chris, Teague, Rebecca, Lim, Eric, Mclauchlan, Jared, Ailabouni, Ramez, Alqassab, Mohammed, Hawkins, Robyn, Baker, Joseph, Ou, Cindy Xin Yi, Singh, Vidit, Frunt, Brytt, Lakshman, Prashant, Henderson, Nigel, Ha, Jeong, Haimona, Maira, Jury, Steffanie, Weeratunga, George, Witcomb Cahill, Henry, Abdussalam, Hameedat Opeyemi, Ahmed, Aminat Olayinka, Adeyeye, Ademola, Kayode-Nissi, Victor, Kadiri, Innih, Oduah, Stella, Olaogun, Julius, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Ja’afar, Abubakar Bappah, Ja’afaru, Umma Hani, Yakubu Mohammed, Husseini, Edetanlen, Ekaniyere, Iribhogbe, Oseihie, Irowa, Omorodion, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Akanni, Bolaji, Ezomike, Uchechukwu, Okoro, Kelechukwu, Okwara, Blasius, Abdulsalam, Khalifa, Agida, Eyaofun, Ajibola, Hafees, Benard, Adeka, Buba, Amina, Eniola, Sefiu, Isah, Aliyu, Olute, Anne, Osagie, Olabisi, Pius Ogolekwu, Idoko, Ademola, Samuel, Afuwape, Oludolapo, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Lawal, Taiwo Akeem, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Okere, Oghenekevwe, Oladiran, Ajibola, Olagunju, Naomi, Olawoye, Olayinka, Olusanya, Adeola, Oyelakin, Oyeleye, Ugwu, Ebere, Ademuyiwa, Adesoji, Atoyebi, Oluwole, Bode, Chris, Chibuike George, Ihediwa, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo-Ajayi, Oluwaseun, Ojewola, Rufus Wale, Okunowo, Adeyemi, Seyi-Olajide, Justina, Ugwu, Aloy Okechukwu, Adebara, Idowu, Adeyemo, Olabisi, Banjo, Oluseyi, Obateru, John, Ojo, Owolabi, Okunlola, Abiodun, Oluwafemi, Fatudimu, Adelaja, Aderinsola, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Omisanjo, Olufunmilade, Aderounmu, Adewale, Adisa, Adewale, Ajekwu, Temitope, Ajekwu, Samuel, Akeem Aderogba, Adeleke, Balogun, Simon, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Wuraola, Funmilola, Mohammed, Tajudeen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ibraheem, Gbadebo, Odeyemi, Peter Olalekan, Olabinjo, Afusat, Raji, Hadijat Olaide, Salawu, Hafeez, Uche-Okonkwo, Kenechukwu, Anipole, Olalekan, Adesina, Oluwaseyi, Enwerem, Kenneth, Isichei, Mercy, Aghadi, Ifeanyi, Kache, Stephen, Lawal, Jamila, Taingson, Matthew, Yusuf, Nuhu, Sale, Danjuma, Takai, Idris Usman, Aji, Sani Ali, Anyanwu, Lofty-John, Bello-Muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Sadiq, Ibrahim Usman, Mustapha, Magashi, Mahmoud Kawu, Mukhtar, Ibrahim Aliyu, Nwachukwu, Callistus, Suleiman, Ibrahim, A, Maryam, Mahmood, Farrukh, Salihu, Mohammed, Okereke, Chukwuma, Alegbeleye, Justina Omoikhefe, Awopeju, Abimbola, Fyneface-Ogan, Sotonye, Kasso, Terhemen, Onwuagha, Ijeoma, Salami, Babatunde, Ajagha, Okeoghene, Awaisu, Mudi, Nwabuoku, Stanley Emeka, Oyelowo, Nasir, Tolani, Musliu Adetola, Filipce, Venko, Rendevski, Vladimir, Shuntov, Blagoj, Todorovic, Lazar, Jovanovska, Katerina, Nikolovska, Bisera, Peev, Igor, Asha, Al Amri, Ayman, Al Badaai, Ghalib, Al Balushi, Zainab, Al Farsi, Maather, Al HOSNI, Mohammed, Al Kalbani, Moza, Al Riyami, Nihal, Al shaibi, Maha, Al-Mujaini, Abdullah, AlBusaidi, Hanadi, Alwashahi, Mohammed, Alzadjali, Adil, Dalmar, Khadija, Dawud, Bashar, Gargouri, Mohamed Mourad, Laghari, Farman Ali, Manjunatha, attibele Palaksha, Mathew, Joseph Kunju, Muzaffar, Rahil, Naiya, Hafsa Ismail Ibrahim, Pillai, Silja, Rahim, Ferdous, Stephen, Edwin, Younas, Shahzad, Fatima, Mishal, Javed, Ayesha, Shakir, Fatima Tuz Zahra, Siddiqui, Riaz Hussain, Sultan, Rizwan, Syed, Danish, Ur Rehman, Ishtiaq, Warraich, Shahrukh, Amir, Mohammed, Asghar, Saleha yurf, Haider Bangash, Ali, Ahmed, Arooj, Ansar, Mehwish, Arslan, Muhammad, Ashraf, Sumaira, Irshad, Abeer, Khan, Farheen, Shami, Dr Ali, Ul Haq, M Burhan, Waqar, Shahzad Hussain, Ahmed, Shahnoor, Ahsan, Kunwar Armash, Akhund, Ramsha, Chishti, Uzma, Haroon, Waqqas, Kassam, Nausheen, Kazmi, Abbas, Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Mubarik, Areeba, Naz, Falak, Qamar, Javeria Bilal, Sadia, Haleema, Safri, Mohammad, Sattar, abida K., Siddiqui, Muhammad Ahsan Iqbal, Waqar, Usama, Kerawala, Asad Ali, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Rai, Lajpat, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Zia, Kashif, Ali Shaikh, Shafqat, Ayub, Bushra, Hussaini, Dr, Kamal, Wajahat, Mughal, Zeeshan Uddin, Nadeem, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Saleem, Shah Masabat, Sayyed, Raza, Shah, Aaqil, Siddiqui, Safia, Tariq, Nida, Zamir, Mehroz, Arif, Hafiz Muhammad, Ahmed, Ehsan, Ahmed, Jawad, Akbar, Bilal, Ali, Abrar Ashraf, Iqbal, Zafar, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Rafi, Yaseen, Saleem, Irfan, Shaukat, Ayesha, Sikandar, Hafiz Saqib, Tu zahara, Fatima, Ali, Ahsan, Jawad, Muhammad, Noman, Hamza, Taha, Dr Hassan, Raana, Dr. Gul e, Qadir, Muhammad Ghulam, Ali, Imran, Asjad, Muhammad, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bhatti, Samiullah, Butt, Usman, Chishti, Muhammad Haris, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Khan, Rohma, Latif, Usman, Majeed, Faizan, Malik, Kiren, Nabi, Muhammad shoaib, Sadiq, Muhammad Hamza, Saeed, Komal, Sarfraz, Kiran, Sohail, Rubina, Syed muhammad, Bilal, Umair, Usama, Wasim, Shafqat, Wasim, Tayyiba, Imran Anwar, Muhammad, Ali, Ammar, Aslam, Muhammad, Sher e Murtaza, Muhammad, Farooq, Umer, Ahmad, Siddique, Faizi, Fouzia, Khan, Hamza, Mabood, Waleed, Akhtar, Muhammad Shaheer, Amin, Hasbi Allah, Ayub, Bakhtawar, Basir, Muhammad, Gul, Hina, Khan, Muhammad faisal, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Shafqat, Tanveer, Ur Rehman, Shams, Daud, Mashal, Abid, Rubaba, Farkhanda, Tallat, Malik, Sobia, Salim, Ruqyyah, Shaheen, Aneela, Ahmed, Faryal, Amjid, Zarafshan, Ishtiaq, Daniyal, Javed, Saad, Nagra, Ramisha Naseer, Saleem, Maleeha, Saleem, Bushra, Shabbir, Raja Khalid, Yaqoob, Eesha, Shaheen, Azka, Awad, Hadeel, Wafi, Dalia, Al-Slaibi, Ibrahim, I. A. Alzeerelhouseini, Hussam, Aljunaidi, Roaa, Amro, Adham, Shaheen, Farah, Shawer, Balqis, Shehadeh, Daleen, Demyati, Khaled, Rodriguez-Zentner, Homero, Aguilera Maidana, Domingo Javier, Bogarin, Amalia, Britez Barrios, Edulfo, Cespedes Ramirex, Luz Maria, Dragotto, Antonella, Fernandez, Celso Ariel, Gauto, Claudia, Gómez, Nadia, Karina, Liz, Martínez, Walter, Mora, Sergio, Noguera Roman, Lidia, Ocampos, Lorena, Ojeda Rojas, Alma Maria, Vera Florentin, Jorge David, Vömel, Jacob, Ferreira Aguilera, Maria Esther, Osorio, Derlis, Villanueva, Paulo, Centurion Rolon, Sandra Elizabeth, Ohara, Rozana, Portillo, Juan Marcelo, Varela Cano, Ruben Milciades, Candia, Francisco Vidal, Chirico, Carlos, Diaz Pineda, Sofia Belen, Paiva Vera, Diego Alfonso, Cantero, Daniel, Centurión, Jessica, Olmedo Bareiro, Ricardo Ignacio, Duarte, Dayhana, Delgado Godoy, Juan Marcelo, Segovia Lohse, Helmut Alfredo, Chavez Rivaldi, Cristhian, Martinez Velázquez, Maria Jose, Pedroso Alvarenga, Brayan David, Sánchez, Rosa, Segovia Lohse, Herald Rene, Falcon Pacheco, Glenda Marina, Flores Anaya, Estefany Angela, Huaman Huallanca, Evy Yamil, Marchan Palma, Karla Melissa, Paucar Urbina, Arazzelly Del Pilar, Ordemar, Jorge, Quiroz, Manuel, Rios Chiuyari, Jose, Lozano, Christian, Ormeño, Martin, Quispe-Cruz, Darwin Artidoro, Yamamoto Seto, Gaby Susana, Arias, Claudia, Silva Barandiaran, Jose Maria, Ugarte Oscco, Regina Amparo, Vergel Cabrera, Cesar Alberto, Mendiola, Gian, Salazar, Adolfo, Sánchez Estupiñan, Joel Jesús, Arangoytia, Roy, Bustamante Polo, Jorge Luis, Desposorio Armestar, Darwin Oliver, Lopez Blanco, Aldo, Moreno, Jaime, Cardenas, Daniel, Shiraishi Zapata, Carlos, Abella, Andrei Cesar, Bejasa, Monica Maria, Unira, Cristeta, Cajucom, Carlo Angelo, Ramos, Charmagne Loren, David, Avril, Merin, John Isaac, Candelario, Nipseey Pauloe, Lopez, Marc Paul, Violago, Khrissa Lea Elisa, Tesil, Mark Jheric, Almelor, Alyssa Carmina, Almora, Jaime Jr., Arbizo, Jeric, Barretto, Diana, de Grano, Pauleen, De Pano, Jojiemar, Delgado, Juan Miguel Roberto, Dulnuan, Heather Grace, Elises, Carlo, Hilvano-Cabungcal, Ana Melissa, Legaspi, Gerardo, Magsanoc, Nikko, Notario, Jaysonnel, Sacdalan, Marie Dione, Santos, Jan Armelynn, Sarmiento, Abigail, Serrano, Dennis, Siahetiong, Samantha, Valeros, Charmaine Grace, Venida, Vincent, Yap, Hans Edison, Estanislao, Grace Lynn, Ganal-Antonio, Anne Kathleen, Lim, Josephine Alexandra, Nazal, Mariles, Ong Vaño, Amanda May, Rivera, Ron Daniel, Salud, Jose Antonio, Uy, Avegail Niña, Dabalos, Jesus Jr, Yabut, Kenneth, Barcelon, Jose Carlos, Chiu, Jo Ann, Kotarski, Jan, Ferreira, Filipa, Gonçalves Nobre, José Guilherme, Henriques, Susana, Macedo, Alexandre, Mendes, Cláudia, Silva, Melissa, Ribeiro, Rui, Santos, Jos´é, Serralheiro, Pedro, B. 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Landaluce-Olavarria, Aitor, Lecumberri, David, Martínez-Pinedo, Carlos, Morales-Puebla, José Manuel, Alcalá Rueda, Ignacio, Díaz Tapia, Gonzalo, Dieguez López, Maria, López García, Isabel, López-Toribio López, Pilar, Bosch, Marina, Fernández Candela, Alba, Lillo García, Cristina, Oller, Inmaculada, Sánchez-Guillén, Luis, Triguero Cánovas, Daniel, Aranda Lozano, Francisca, Del Pozo Andres, Eneko, Ochoa Villalabeitia, Begoña, Ortega, Natalia, Sanz Larrainzar, Amaia, Vicente Rodriguez, Irune, Jover, Jose M, Ramos Rodriguez, Jose Luis, Antonio, Codina, Delisau-Puig, Olga, Farrés Pla, Cristina, Maldonado-Marcos, Eloy, Tuca, Francesc, Guisado Calderón, Antonio Francisco, Pastor, Oscar, García Amador, Cristina, Allue, Marta, Colsa, Pablo, Ponchietti, Luca, Roldón Golet, Marta, Navarro-Sánchez, Antonio, Soto-Darias, Iván, Ortiz López, David, Berrocal, Sara, Cagigal Ortega, Elima Pilar, Díaz Peña, Patricia, Fernández Bernabé, Patricia, Fraga, Gema, García, Antonio, Garcia De Castro, Elena, 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Mahasivam, G, McKnight, G, Ng, HL, Ota, HC, Pasha, T, Ravindran, W, Shah, K, Vishnu K, S, Zaman, S, Carr, W, Cope, S, Eagles, EJ, Howarth-Maddison, M, Li, CY, Reed, J, Ridge, A, Stubbs, T, Teasdaled, D, Umar, R, Worthington, J, Dhebri, A, Kalenderov, R, Alattas, A, Arain, Z, Bhudia, R, Chia, D, Daniel, S, Dar, T, Garland, H, Girish, M, Hampson, A, Kyriacou, H, Lehovsky, K, Mullins, W, Omorphos, N, Vasdev, N, Venkatesh, A, Waldock, W, Bhandari, A, Brown, G, Choa, G, Eichenauer, CE, Ezennia, K, Kidwai, Z, Lloyd-Thomas, A, Macaskill Stewart, A, Massardi, C, Sinclair, E, Skajaa, N, Smith, M, Tan, I, Afsheen, N, Anuar, A, Azam, Z, Bhatia, P, Davies-kelly, N, Dickinson, S, Elkawafi, M, Ganapathy, M, Gupta, S, Khoury, EG, Licudi, D, Mehta, V, Neequaye, S, Nita, G, Tay, VL, Zhao, S, Botsa, E, Cuthbert, H, Elliott, J, Furlepa, M, Lehmann, J, Mangtani, A, Narayan, A, Nazarian, S, Parmar, C, Shah, D, Shaw, C, Zhao, Z, Beck, C, Caldwell, S, Clements, JM, French, B, Kenny, R, Kirk, S, Lindsay, J, 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Francombe, J, Kawamoto, N, Rahman, MR, Sathyanarayana, A, Tang, HT, Cheung, J, Hollingshead, J, Page, V, Sugarman, J, Wong, E, Chiong, J, Fung, E, Kan, SY, Kiang, J, Kok, J, Krahelski, O, Liew, MY, Lyell, B, Sharif, Z, Speake, D, Alim, L, Amakye, NY, Chandrasekaran, J, Chandratreya, N, Drake, J, Owoso, T, Thu, YM, Abou El Ela Bourquin, B, Alberts, J, Chapman, D, Rehnnuma, N, Ainsworth, K, Carpenter, H, Emmanuel, T, Fisher, T, Gabrel, M, Guan, Z, Hollows, S, Hotouras, A, Ip Fung Chun, N, Jaffer, S, Kallikas, G, Kennedy, N, Lewinsohn, B, Liu, FY, Mohammed, S, Rutherfurd, A, Situ, T, Stammer, A, Taylor, F, Thin, N, Urgesi, E, Zhang, N, Ahmad, MA, Bishop, A, Bowes, A, Dixit, A, Glasson, R, Hatta, S, Hatt, K, Larcombe, S, Preece, J, Riordan, E, Fegredo, D, Haq, MZ, Li, C, McCann, G, Stewart, D, Baraza, W, Bhullar, D, Burt, G, Coyle, J, Deans, J, Devine, A, Hird, R, Ikotun, O, Manchip, G, Ross, C, Storey, L, Tan, WWL, Tse, C, Warner, C, Whitehead, M, Wu, F, Court, EL, Crisp, E, Huttman, M, Mayes, F, Robertson, H, Rosen, H, Sandberg, C, Smith, H, Al Bakry, M, Ashwell, W, Bajaj, S, Bandyopadhyay, D, Browlee, O, Burway, S, Chand, CP, Elsayeh, K, Elsharkawi, A, Evans, E, Ferrin, S, Fort-Schaale, A, Iacob, M, I, K, Impelliziere Licastro, G, Mankoo, AS, Olaniyan, T, Otun, J, Pereira, R, Reddy, R, Saeed, D, Simmonds, O, Singhal, G, Tron, K, Wickstone, C, Williams, R, Bradshaw, E, De Kock Jewell, V, Houlden, C, Knight, C, Metezai, H, Mirza-Davies, A, Seymour, Z, Spink, D, and Wischhusen, S
Abstract: Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery.
Published: 2024
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18. The growth of northeastern Tibet and its relevance to large-scale continental geodynamics: A review of recent studies

Author: Yuan, DY, Ge, WP, Chen, ZW, Li, CY, Wang, ZC, Zhang, HP, Zhang, PZ, Zheng, DW, Zheng, WJ, Craddock, WH, Dayem, KE, Duvall, AR, Hough, BG, Lease, RO, Champagnac, JD, Burbank, DW, Clark, MK, Farley, KA, Garzione, CN, Kirby, E, Molnar, P, and Roe, GH
Subjects: Tibet, continents, geodynamics, Geochemistry & Geophysics, Geology, Geophysics
Abstract: Recent studies of the northeastern part of the Tibetan Plateau have called attention to two emerging views of how the Tibetan Plateau has grown. First, deformation in northern Tibet began essentially at the time of collision with India, not 10-20 Myr later as might be expected if the locus of activity migrated northward as India penetrated the rest of Eurasia. Thus, the north-south dimensions of the Tibetan Plateau were set mainly by differences in lithospheric strength, with strong lithosphere beneath India and the Tarim and Qaidam basins steadily encroaching on one another as the region between them, the present-day Tibetan Plateau, deformed, and its north-south dimension became narrower. Second, abundant evidence calls for acceleration of deformation, including the formation of new faults, in northeastern Tibet since ~15 Ma and a less precisely dated change in orientation of crustal shortening since ~20 Ma. This reorientation of crustal shortening and roughly concurrent outward growth of high terrain, which swings from NNE-SSW in northern Tibet to more NE-SW and even ENE-WSW in the easternmost part of northeastern Tibet, are likely to be, in part, a consequence of crustal thickening within the high Tibetan Plateau reaching a limit, and the locus of continued shortening then migrating to the northeastern and eastern flanks. These changes in rates and orientation also could result from removal of some or all mantle lithosphere and increased gravitational potential energy per unit area and from a weakening of crustal material so that it could flow in response to pressure gradients set by evolving differences in elevation. Key Points The north-south limits of Tibet were set by lateral variations in strength Roughly 15 million years ago, deformation of NE Tibet accelerated Since 20-15 million years ago, the orientation of shortening rotated eastward ©2013. American Geophysical Union. All Rights Reserved.
Published: 2013

19. Analysis on Mechanical Properties of Bolt Connector under Reinforcement Binding and Welding Conditions Considering Flexural-shear Ratio

Author: Li, CY, primary, Niu, YW, additional, and Liu, YQ, additional
Published: 2023
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20. Raloxifene Protects Cisplatin-Induced Renal Injury in Mice via Inhibiting Oxidative Stress

Author: An JH, Li CY, Chen CY, Wu JB, and Shen H
Subjects: hepatotoxicity, nephrotoxicity, cisplatin, oxidative stress, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, raloxifene
Abstract: Jian-Hong An,1 Chun-Yan Li,1 Chun-Ya Chen,1 Jian-Bin Wu,2 Hong Shen1,3 1School of Medicine, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou, 510006, People’s Republic of China; 2Department of Oncology, First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510405, People’s Republic of China; 3Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of ChinaCorrespondence: Hong Shen Tel +86 20-61648227Fax +86 20-61648312Email shenhong2010168@163.comPurpose: Cisplatin is one of the most widely used antineoplastic drugs but has limited therapeutic effects due to nephrotoxicity. The aim of this study was to determine the possible renoprotective effect of the antioxidant raloxifene on cisplatin-induced nephrotoxicity in mice.Materials and Methods: Cisplatin-induced acute renal injury was established in female C57 mice that were treated with saline (normal control) or raloxifene over a 7-day period. The body weight of the mice was recorded. Histopathological examinations of the kidney tissues were performed using H&E, PAS staining and TEM. The histomorphology of liver and other organs was observed by H&E staining. The serum levels of creatinine, blood urea nitrogen (BUN), alanine transaminase (ALT) and glutamic oxalacetic transaminase (AST) were analyzed by specific kits. Superoxide dismutase (SOD) and glutathione (GSH) activity, and the content of malondialdehyde (MDA) in the kidney, liver homogenates and HK-2 cells were measured by WST-8 and thiobarbituric acid colorimetric methods. Moreover, the mitochondrial structures of HK-2 cells were performed using TEM. The viability and proliferation of HK-2 cells were examined by CCK-8 and EdU incorporation assays. The mitochondrial membrane potential was measured by JC-1 fluorescence.Results: Raloxifene significantly reduced the levels of serum creatinine, urea, ALT and AST in the cisplatin-treated mice, and alleviated cisplatin-induced renal and hepatic tissue injury. Furthermore, raloxifene also increased the activity of GSH and SOD in the renal tissues and HK-2 cells, and reduced MDA levels, thereby limiting oxidative stress in the kidney.Conclusion: Raloxifene protected against cisplatin-induced nephrotoxicity by activating the antioxidant system, along with alleviating liver damage. It should be considered as a potential adjuvant in cisplatin-based chemotherapeutic protocols.Keywords: raloxifene, cisplatin, nephrotoxicity, hepatotoxicity, oxidative stress
Published: 2021

21. Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery:a systematic review and international external validation cohort study

Author: Kouli, O, Murray, V, Bhatia, S, Cambridge, WA, Kawka, M, Shafi, S, Knight, SR, Kamarajah, SK, McLean, KA, Glasbey, JC, Khaw, RA, Ahmed, W, Akhbari, M, Baker, D, Borakati, A, Mills, E, Thavayogan, R, Yasin, I, Raubenheimer, K, Ridley, W, Sarrami, M, Zhang, G, Egoroff, N, Pockney, P, Richards, T, Bhangu, A, Creagh-Brown, B, Edwards, M, Harrison, EM, Lee, M, Nepogodiev, D, Pinkney, T, Pearse, R, Smart, N, Vohra, R, Sohrabi, C, Jamieson, A, Nguyen, M, Rahman, A, English, C, Tincknell, L, Kakodkar, P, Kwek, I, Punjabi, N, Burns, J, Varghese, S, Erotocritou, M, McGuckin, S, Vayalapra, S, Dominguez, E, Moneim, J, Salehi, M, Tan, HL, Yoong, A, Zhu, L, Seale, B, Nowinka, Z, Patel, N, Chrisp, B, Harris, J, Maleyko, I, Muneeb, F, Gough, M, James, CE, Skan, O, Chowdhury, A, Rebuffa, N, Khan, H, Down, B, Fatimah Hussain, Q, Adams, M, Bailey, A, Cullen, G, Fu, YXJ, McClement, B, Taylor, A, Aitken, S, Bachelet, B, Brousse de Gersigny, J, Chang, C, Khehra, B, Lahoud, N, Lee Solano, M, Louca, M, Rozenbroek, P, Rozitis, E, Agbinya, N, Anderson, E, Arwi, G, Barry, I, Batchelor, C, Chong, T, Choo, LY, Clark, L, Daniels, M, Goh, J, Handa, A, Hanna, J, Huynh, L, Jeon, A, Kanbour, A, Lee, A, Lee, J, Lee, T, Leigh, J, Ly, D, McGregor, F, Moss, J, Nejatian, M, O'Loughlin, E, Ramos, I, Sanchez, B, Shrivathsa, A, Sincari, A, Sobhi, S, Swart, R, Trimboli, J, Wignall, P, Bourke, E, Chong, A, Clayton, S, Dawson, A, Hardy, E, Iqbal, R, Le, L, Mao, S, Marinelli, I, Metcalfe, H, Panicker, D, R, HH, Ridgway, S, Tan, HH, Thong, S, Van, M, Woon, S, Woon-Shoo-Tong, XS, Yu, S, Ali, K, Chee, J, Chiu, C, Chow, YW, Duller, A, Nagappan, P, Ng, S, Selvanathan, M, Sheridan, C, Temple, M, Do, JE, Dudi-Venkata, NN, Humphries, E, Li, L, Mansour, LT, Massy-Westropp, C, Fang, B, Farbood, K, Hong, H, Huang, Y, Joan, M, Koh, C, Liu, YHA, Mahajan, T, Muller, E, Park, R, Tanudisastro, M, Wu, JJG, Chopra, P, Giang, S, Radcliffe, S, Thach, P, Wallace, D, Wilkes, A, Chinta, SH, Li, J, Phan, J, Rahman, F, Segaran, A, Shannon, J, Zhang, M, Adams, N, Bonte, A, Choudhry, A, Colterjohn, N, Croyle, JA, Donohue, J, Feighery, A, Keane, A, McNamara, D, Munir, K, Roche, D, Sabnani, R, Seligman, D, Sharma, S, Stickney, Z, Suchy, H, Tan, R, Yordi, S, Ahmed, I, Aranha, M, El Sabawy, D, Garwood, P, Harnett, M, Holohan, R, Howard, R, Kayyal, Y, Krakoski, N, Lupo, M, McGilberry, W, Nepon, H, Scoleri, Y, Urbina, C, Ahmad Fuad, MF, Ahmed, O, Jaswantlal, D, Kelly, E, Khan, MHT, Naidu, D, Neo, WX, O'Neill, R, Sugrue, M, Abbas, JD, Abdul-Fattah, S, Azlan, A, Barry, K, Idris, NS, Kaka, N, Mc Dermott, D, Mohammad Nasir, MN, Mozo, M, Rehal, A, Shaikh Yousef, M, Wong, RH, Curran, E, Gardner, M, Hogan, A, Julka, R, Lasser, G, Ní Chorráin, N, Ting, J, Browne, R, George, S, Janjua, Z, Leung Shing, V, Megally, M, Murphy, S, Ravenscroft, L, Vedadi, A, Vyas, V, Bryan, A, Sheikh, A, Ubhi, J, Vannelli, K, Vawda, A, Adeusi, L, Doherty, C, Fitzgerald, C, Gallagher, H, Gill, P, Hamza, H, Hogan, M, Kelly, S, Larry, J, Lynch, P, Mazeni, NA, O'Connell, R, O'Loghlin, R, Singh, K, Abbas Syed, R, Ali, A, Alkandari, B, Arnold, A, Arora, E, Azam, R, Breathnach, C, Cheema, J, Compton, M, Curran, S, Elliott, JA, Jayasamraj, O, Mohammed, N, Noone, A, Pal, A, Pandey, S, Quinn, P, Sheridan, R, Siew, L, Tan, EP, Tio, SW, Toh, VTR, Walsh, M, Yap, C, Yassa, J, Young, T, Agarwal, N, Almoosawy, SA, Bowen, K, Bruce, D, Connachan, R, Cook, A, Daniell, A, Elliott, M, Fung, HKF, Irving, A, Laurie, S, Lee, YJ, Lim, ZX, Maddineni, S, McClenaghan, RE, Muthuganesan, V, Ravichandran, P, Roberts, N, Shaji, S, Solt, S, Toshney, E, Arnold, C, Baker, O, Belais, F, Bojanic, C, Byrne, M, Chau, CYC, De Soysa, S, Eldridge, M, Fairey, M, Fearnhead, N, Guéroult, A, Ho, JSY, Joshi, K, Kadiyala, N, Khalid, S, Khan, F, Kumar, K, Lewis, E, Magee, J, Manetta-Jones, D, Mann, S, McKeown, L, Mitrofan, C, Mohamed, T, Monnickendam, A, Ng, AYKC, Ortu, A, Patel, M, Pope, T, Pressling, S, Purohit, K, Saji, S, Shah Foridi, J, Shah, R, Siddiqui, SS, 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Wantman, A, Wilde, S, Dickinson, M, Rockall, T, Senn, D, Wcislo, K, Zalmay, P, Adelekan, K, Allen, K, Bajaj, M, Gatumbu, P, Hang, S, Hashmi, Y, Kaur, T, Kawesha, A, Kisiel, A, Woodmass, M, Adelowo, T, Ahari, D, Alhwaishel, K, Atherton, R, Clayton, B, Cockroft, A, Curtis Lopez, C, Hilton, M, Ismail, N, Kouadria, M, Lee, L, MacConnachie, A, Monks, F, Mungroo, S, Nikoletopoulou, C, Pearce, L, Sara, X, Shahid, A, Suresh, G, Wilcha, R, Atiyah, A, Davies, E, Dermanis, A, Gibbons, H, Hyde, A, Lawson, A, Lee, C, Leung-Tack, M, Li Saw Hee, J, Mostafa, O, Nair, D, Pattani, N, Plumbley-Jones, J, Pufal, K, Ramesh, P, Sanghera, J, Saram, S, Scadding, S, See, S, Stringer, H, Torrance, A, Vardon, H, Wyn-Griffiths, F, Brew, A, Kaur, G, Soni, D, Tickle, A, Akbar, Z, Appleyard, T, Figg, K, Jayawardena, P, Johnson, A, Kamran Siddiqui, Z, Lacy-Colson, J, Oatham, R, Rowlands, B, Sludden, E, Turnbull, C, Allin, D, Ansar, Z, Azeez, Z, Dale, VH, Garg, J, Horner, A, Jones, S, Knight, S, McGregor, C, McKenna, J, McLelland, T, Packham-Smith, A, Rowsell, K, Spector-Hill, I, Adeniken, E, Baker, J, Bartlett, M, Chikomba, L, Connell, B, Deekonda, P, Dhar, M, Elmansouri, A, Gamage, K, Goodhew, R, Hanna, P, Knight, J, Luca, A, Maasoumi, N, Mahamoud, F, Manji, S, Marwaha, PK, Mason, F, Oluboyede, A, Pigott, L, Razaq, AM, Richardson, M, Saddaoui, I, Wijeyendram, P, Yau, S, Atkins, W, Liang, K, Miles, N, Praveen, B, Ashai, S, Braganza, J, Common, J, Cundy, A, Davies, R, Guthrie, J, Handa, I, Iqbal, M, Ismail, R, Jones, C, Jones, I, Lee, KS, Levene, A, Okocha, M, Olivier, J, Smith, A, Subramaniam, E, Tandle, S, Wang, A, Watson, A, Wilson, C, Chan, XHF, Khoo, E, Montgomery, C, Norris, M, Pugalenthi, PP, Common, T, Cook, E, Mistry, H, Shinmar, HS, Agarwal, G, Bandyopadhyay, S, Brazier, B, Carroll, L, Goede, A, Harbourne, A, Lakhani, A, Lami, M, Larwood, J, Martin, J, Merchant, J, Pattenden, S, Pradhan, A, Raafat, N, Rothwell, E, Shammoon, Y, Sudarshan, R, Vickers, E, Wingfield, L, Ashworth, I, Azizi, S, Bhate, R, Chowdhury, T, Christou, A, Davies, L, Dwaraknath, M, Farah, Y, Garner, J, Gureviciute, E, Hart, E, Jain, A, Javid, S, Kankam, HK, Kaur Toor, P, Kaz, R, Kermali, M, Khan, I, Mattson, A, McManus, A, Murphy, M, Nair, K, Ngemoh, D, Norton, E, Olabiran, A, Parry, L, Payne, T, Pillai, K, Price, S, Punjabi, K, Raghunathan, A, Ramwell, A, Raza, M, Ritehnia, J, Simpson, G, Smith, W, Sodeinde, S, Studd, L, Subramaniam, M, Thomas, J, Towey, S, Tsang, E, Tuteja, D, Vasani, J, Vio, M, Badran, A, Adams, J, Anthony Wilkinson, J, Asvandi, S, Austin, T, Bald, A, Bix, E, Carrick, M, Chander, B, Chowdhury, S, Cooper Drake, B, Crosbie, S, D Portela, S, Francis, D, Gallagher, C, Gillespie, R, Gravett, H, Gupta, P, Ilyas, C, James, G, Johny, J, Jones, A, Kinder, F, MacLeod, C, Macrow, C, Maqsood-Shah, A, Mather, J, McCann, L, McMahon, R, Mitham, E, Mohamed, M, Munton, E, Nightingale, K, O'Neill, K, Onyemuchara, I, Senior, R, Shanahan, A, Sherlock, J, Spyridoulias, A, Stavrou, C, Stokes, D, Tamang, R, Taylor, E, Trafford, C, Uden, C, Waddington, C, Yassin, D, Zaman, M, Bangi, S, Cheng, T, Chew, D, Hussain, N, Imani-Masouleh, S, Mahasivam, G, McKnight, G, Ng, HL, Ota, HC, Pasha, T, Ravindran, W, Shah, K, Vishnu K, S, Zaman, S, Carr, W, Cope, S, Eagles, EJ, Howarth-Maddison, M, Li, CY, Reed, J, Ridge, A, Stubbs, T, Teasdaled, D, Umar, R, Worthington, J, Dhebri, A, Kalenderov, R, Alattas, A, Arain, Z, Bhudia, R, Chia, D, Daniel, S, Dar, T, Garland, H, Girish, M, Hampson, A, Kyriacou, H, Lehovsky, K, Mullins, W, Omorphos, N, Vasdev, N, Venkatesh, A, Waldock, W, Bhandari, A, Brown, G, Choa, G, Eichenauer, CE, Ezennia, K, Kidwai, Z, Lloyd-Thomas, A, Macaskill Stewart, A, Massardi, C, Sinclair, E, Skajaa, N, Smith, M, Tan, I, Afsheen, N, Anuar, A, Azam, Z, Bhatia, P, Davies-kelly, N, Dickinson, S, Elkawafi, M, Ganapathy, M, Gupta, S, Khoury, EG, Licudi, D, Mehta, V, Neequaye, S, Nita, G, Tay, VL, Zhao, S, Botsa, E, Cuthbert, H, Elliott, J, Furlepa, M, Lehmann, J, Mangtani, A, Narayan, A, Nazarian, S, Parmar, C, Shah, D, Shaw, C, Zhao, Z, Beck, C, Caldwell, S, Clements, JM, French, B, Kenny, R, Kirk, S, Lindsay, J, McClung, A, McLaughlin, N, Watson, S, Whiteside, E, Alyacoubi, S, Arumugam, V, Beg, R, Dawas, K, Garg, S, Lloyd, ER, Mahfouz, Y, Manobharath, N, Moonesinghe, R, Morka, N, Patel, K, Prashar, J, Yip, S, Adeeko, ES, Ajekigbe, F, Bhat, A, Evans, C, Farrugia, A, Gurung, C, Long, T, Malik, B, Manirajan, S, Newport, D, Rayer, J, Ridha, A, Ross, E, Saran, T, Sinker, A, Waruingi, D, Allen, R, Al Sadek, Y, Alves do Canto Brum, H, Asharaf, H, Ashman, M, Balakumar, V, Barrington, J, Baskaran, R, Berry, A, Bhachoo, H, Bilal, A, Boaden, L, Chia, WL, Covell, G, Crook, D, Dadnam, F, Davis, L, De Berker, H, Doyle, C, Fox, C, Gruffydd-Davies, M, Hafouda, Y, Hill, A, Hubbard, E, Hunter, A, Inpadhas, V, Jamshaid, M, Jandu, G, Jeyanthi, M, Jones, T, Kantor, C, Kwak, SY, Malik, N, Matt, R, McNulty, P, Miles, C, Mohomed, A, Myat, P, Niharika, J, Nixon, A, O'Reilly, D, Parmar, K, Pengelly, S, Price, L, Ramsden, M, Turnor, R, Wales, E, Waring, H, Wu, M, Yang, T, Ye, TTS, Zander, A, Zeicu, C, Bellam, S, Francombe, J, Kawamoto, N, Rahman, MR, Sathyanarayana, A, Tang, HT, Cheung, J, Hollingshead, J, Page, V, Sugarman, J, Wong, E, Chiong, J, Fung, E, Kan, SY, Kiang, J, Kok, J, Krahelski, O, Liew, MY, Lyell, B, Sharif, Z, Speake, D, Alim, L, Amakye, NY, Chandrasekaran, J, Chandratreya, N, Drake, J, Owoso, T, Thu, YM, Abou El Ela Bourquin, B, Alberts, J, Chapman, D, Rehnnuma, N, Ainsworth, K, Carpenter, H, Emmanuel, T, Fisher, T, Gabrel, M, Guan, Z, Hollows, S, Hotouras, A, Ip Fung Chun, N, Jaffer, S, Kallikas, G, Kennedy, N, Lewinsohn, B, Liu, FY, Mohammed, S, Rutherfurd, A, Situ, T, Stammer, A, Taylor, F, Thin, N, Urgesi, E, Zhang, N, Ahmad, MA, Bishop, A, Bowes, A, Dixit, A, Glasson, R, Hatta, S, Hatt, K, Larcombe, S, Preece, J, Riordan, E, Fegredo, D, Haq, MZ, Li, C, McCann, G, Stewart, D, Baraza, W, Bhullar, D, Burt, G, Coyle, J, Deans, J, Devine, A, Hird, R, Ikotun, O, Manchip, G, Ross, C, Storey, L, Tan, WWL, Tse, C, Warner, C, Whitehead, M, Wu, F, Court, EL, Crisp, E, Huttman, M, Mayes, F, Robertson, H, Rosen, H, Sandberg, C, Smith, H, Al Bakry, M, Ashwell, W, Bajaj, S, Bandyopadhyay, D, Browlee, O, Burway, S, Chand, CP, Elsayeh, K, Elsharkawi, A, Evans, E, Ferrin, S, Fort-Schaale, A, Iacob, M, I, K, Impelliziere Licastro, G, Mankoo, AS, Olaniyan, T, Otun, J, Pereira, R, Reddy, R, Saeed, D, Simmonds, O, Singhal, G, Tron, K, Wickstone, C, Williams, R, Bradshaw, E, De Kock Jewell, V, Houlden, C, Knight, C, Metezai, H, Mirza-Davies, A, Seymour, Z, Spink, D, and Wischhusen, S
Subjects: Adult, Cohort Studies, Postoperative Complications, Health Information Management, Medicine (miscellaneous), COVID-19, Humans, Decision Sciences (miscellaneous), Health Informatics, Prospective Studies, Prognosis, Pandemics
Abstract: Background Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications. Methods We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC). Findings In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683–0·717]). Interpretation In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required. Funding British Journal of Surgery Society.
Published: 2022

22. Case Report: SMARCB1 (INI-1)-Deficient Carcinoma of the Nasal Cavity with Pure Yolk Sac Tumor Differentiation and Elevated Serum AFP Levels

Author: Li CY, Han Y, Xu K, Wu S, Lin XY, and Cao H
Subjects: gonadal germ cell tumor, smarcb1(ini-1)-deficient carcinoma, sinonasal carcinoma, ini-1, yolk sac tumor, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, lcsh:RC254-282
Abstract: Chun-Yu Li, Ya-mei Han, Ke Xu, Shu-yue Wu, Xu-Yong Lin, Hong-yi Cao Department of Pathology, The First Affiliated Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, 110001, People’s Republic of ChinaCorrespondence: Hong-yi CaoDepartment of Pathology, The First Affiliated Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, 110001, People’s Republic of ChinaEmail Caohongyi905@163.comAbstract: In adults, yolk sac tumors (YSTs) in the nasal cavity and paranasal sinuses are very rare. To date, only six cases have been reported in the English literature. YSTs in adults are often accompanied by cancer, teratocarcinosarcoma, and other malignant components. Here, we have reported a case of nasal tumor in a 55-year-old man with nasal obstruction and epistaxis. Morphologically, the tumor showed histological characteristics of pure YST. Immunohistochemical staining showed diffuse expression of SALL4, CDX2, and GPC-3 accompanied by sporadic expression of alpha-fetoprotein (AFP) and CD117. After 20 and 40 days of operation, the serum AFP level was 220.30 and 43.60 ng/mL (normal, < 7 ng/mL), respectively, which supported the pathological diagnosis of YST. However, we further performed immunohistochemical staining and fluorescence in situ hybridization using an INI-1 probe to detect the status of INI-1 in tumor cells. The results revealed that INI-1 was absent in tumor cells. Hence, we corrected the diagnosis to SMARCB1 (INI-1)-deficient carcinoma of the nasal cavity with YST differentiation. The patient underwent surgery and adjuvant radiotherapy in our hospital without evidence of recurrence or metastasis at the 6-month follow-up. The serum AFP level had also normalized. In conclusion, our case demonstrates that INI-1-deficient carcinoma may exhibit, a pure YST differentiation and immunophenotype, and elevated serum AFP levels. In adults, YST in the nasal cavity may represent INI-1-deficient carcinoma, which may be a potential diagnostic pitfall.Keywords: yolk sac tumor, SMARCB1 (INI-1)-deficient carcinoma, sinonasal carcinoma, gonadal germ cell tumor, INI-1
Published: 2021

23. Contrasting ecological processes shape the Eucalyptus phyllosphere bacterial and fungal community assemblies

Author: Yan, ZZ, Chen, QL, Li, CY, Thi Nguyen, BA, He, JZ, Hu, HW, Yan, ZZ, Chen, QL, Li, CY, Thi Nguyen, BA, He, JZ, and Hu, HW
Abstract: Introduction Phyllosphere microbiome is intrinsically linked to plant performance and ecosystem functioning. However, our knowledge about the role of ecological processes in shaping the biogeography of different phyllosphere microbial communities is scarce. Materials and Methods Here, we compared the biogeographic patterns of bacterial and fungal communities in phyllosphere samples of plants belonging to the genus of Eucalyptus of the Myrtaceae family collected from an over 4000 km transect. We investigated the relative importance of two major ecosystem processes (stochastic vs. deterministic) in shaping phyllosphere microbial community assemblies. Results Our results demonstrated that the neutral community model, which can quantify the degree of a community assembly determined by stochastic processes, explained 64.2% of the variations in bacterial community assembly, which had a normalized stochasticity ratio of 71.8%. These results suggest that the dominant role of stochastic processes in shaping bacterial community assembly. In contrast, phyllosphere fungal community assembly was mainly shaped by deterministic processes as revealed by a relatively small explanation rate of the neutral community model (48.7%) and a normalized stochasticity ratio of 25.1%. Variation partitioning analysis and random forest modelling results indicated that climatic factors, particularly mean annual precipitation and aridity index, were important in driving both bacterial and fungal biogeographic patterns in the phyllosphere. Edaphic factors, such as soil organic and mineral nitrogen content, were more closely related to fungal community assembly than to bacterial community assembly. The differential responses of bacterial and fungal communities to environmental factors could be attributed to the different traits of bacteria and fungi, that is, the higher potential dispersal rate and wider habitat niche of bacteria than fungi. Conclusion Our findings demonstrated that phyllos
Published: 2022

24. Which Factors Affect the Spontaneous Stone Passage After Flexible Ureteroscopic Lithotripsy for Renal Stones?

Author: Liao NK, Tan ST, Yang GL, Yang SB, Zhai GQ, Li CY, Mo LJ, and Cheng JW
Subjects: Automotive Engineering
Abstract: Objectives: The aim of this study was to investigate factors predicting spontaneous stone passage after Flexible Ureteroscopic Lithotripsy (fURS) for renal stones. Materials and Methods: This study included 239 patients with renal stones who underwent fURS using the dusting technique. The final outcome was evaluated 3 months postoperatively and the Residual Fragment status (RFs) was defined as any residual stone fragments greater than 2 mm. Univariate and multivariate analyses of possible predictive factors associated with spontaneous clearance of residual renal fragments were performed. Results:186 patients (77.8%) had achieved an Stone-Free status (SFs) and 53 patients (22.2%) were considered with RFs. Univariate analysis showed the stone location, stone number, stone size, stone CT value, IPA degree, the presence of hydronephrosis and stone covered with purulent substance were all associated with RFs (P
Published: 2022

25. The effect of surface roughness of the substrate on fatigue life of coated aluminum alloy by micro-arc oxidation

Author: Dai, WB, Yuan, LX, Li, CY, He, David, Jia, DW, and Zhang, YM
Subjects: FOS: Physical sciences, Condensed Matter Physics
Abstract: In the present work, ceramic coatings are deposited on the surface of 2024-T3 aluminum (Al) alloy by micro-arc oxidation (MAO). The Surface roughness of the Al alloy substrate is different in the range from 0.2 μm to 1.6 μm. This paper investigates the effect of surface roughness of the Al alloy substrate and surface treatment on the fatigue properties of 2024-T3 Al alloy. The morphology, microstructure, and phase composition of the oxide layers are examined using X-ray diffraction (XRD) and scanning electron microscopy (SEM). Surface roughness of the coatings was measured using a 3D measuring laser microscope. The fatigue life of the Al alloy is evaluated under high and low cyclic stress. The results of the investigation have shown that the fatigue life of the coated samples with Ra = 0.2 μm is higher than others. The fatigue life of coated samples with Ra = 0.8 μm is very close to that with Ra = 1.6 μm under high cycle fatigue conditions. The reason is that the roughness of the interface between substrate and coating affects the fatigue life of coated samples. In contrast, the fatigue property changes when the coated samples were applied to high alternating stress. The fatigue performance of the coated Al alloy with Ra = 0.8 μm is the worst, followed with Ra = 1.6 μm. The rougher surface and the concentrating distribution of hills and valleys lead to this result.
Published: 2021
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26. Influence of hypothyroidism on testicular mitochondrial oxidative stress by activating the p38 mitogen-activated protein kinase and c-Jun NH2-terminal kinase signaling pathways in rats

Author: Xiaoru Chang, Gou Ph, Degui Wang, Li Cy, Yueli Yao, Junling Wang, and Haitao Ma
Subjects: 0301 basic medicine, MAPK/ERK pathway, endocrine system, endocrine system diseases, 030102 biochemistry & molecular biology, Chemistry, Health, Toxicology and Mutagenesis, Thyroid, C jun nh2 terminal kinase, General Medicine, Toxicology, medicine.disease_cause, Cell biology, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, 030220 oncology & carcinogenesis, medicine, Signal transduction, Protein kinase A, Receptor, Oxidative stress, Hormone
Abstract: Thyroid hormone deficiency can impair testicular function. However, knowledge of the effects of mitogen-activated protein kinase (MAPK) pathways on testicular mitochondrial oxidative damage induced by hypothyroidism is still rudimentary. This study aims to explore the possible mechanisms of testicular mitochondrial oxidative damage in hypothyroidism rats. Wistar male rats were randomly divided into control (C), low- (L), and high-hypothyroidism (H) groups (1 ml/100 g body weights (BWs)/day 0, 0.001% and 0.1% propylthiouracil, respectively) by intragastric gavage for 60 days. Blood samples were collected to measure the levels of serum triiodothyronine (T3), thyroxine (T4), and thyroid stimulating hormone (TSH). Testicular mitochondrial homogenates were used to measure the activities of superoxide dismutase (SOD), catalase (CAT), and Ca2+-ATPase as well as protein and mRNA expression of androgen receptor (AR), p38 MAPK, and c-Jun NH2-terminal kinase (JNK). Results showed that the BWs, testes weights, and levels of T3 and T4 were all significantly decreased and the testes coefficient and level of TSH were significantly increased in the H group. There were significant decreases in SOD activity in the H group as well as decreases in CAT and Ca2+-ATPase activities in the L and H groups. Additionally, protein expression of AR decreased significantly and protein expression of phosphorylated p38MAPK and JNK increased significantly in the H group. Therefore, the study suggests that hypothyroidism could affect male reproductive function by disturbing expression of AR, changing the activity of Ca2+-ATPase, inducing oxidative stress and then leading to activation of p38MAPK and JNK signaling in the testicular mitochondria.
Published: 2018

27. Postnatal iron status of Hong Kong Chinese women in a longitudinal study of maternal nutrition

Author: Chan, SM, Nelson, EAS, Leung, SSF, and Li, CY
Published: 2001
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28. Special postpartum dietary practices of Hong Kong Chinese women

Author: Chan, SM, Nelson, EAS, Leung, SSF, Cheung, PCK, and Li, CY
Published: 2000
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29. Patient-reported outcomes after surgery or radiotherapy for localised prostate cancer: a retrospective study

Author: Ng, CF, primary, Kong, KY, additional, Li, CY, additional, Li, Jennifer KT, additional, Li, NY, additional, Ng, Brian PK, additional, Leung, Steven CH, additional, Hong, Cindy YL, additional, Yee, CH, additional, and Teoh, Jeremy YC, additional
Published: 2020
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30. Dynamic increased reinforcing effect of graphene oxide on cementitious nanocomposite

Author: Li, CY, Chen, SJ, Li, WG, Li, XY, Ruan, D, and Duan, WH
Subjects: Building & Construction, humanities
Abstract: © 2019 The reinforcing effect of graphene oxide on cementitious materials under high strain rate remains largely unknown. Existing studies on microfiber reinforced cementitious composites showed that the dynamic increase factor (DIF) decreases due to these fibres. This study reports that the reinforcing effect of graphene oxide nanosheets can, in contrast, increase with strain rate. Tensile splitting and compression tests were conducted under both static and dynamic loadings. High strain rate, up to 1700 s −1 , is achieved using a split Hopkinson pressure bar apparatus. It is found that the DIF of graphene oxide nanocomposite only increase when the DIF is higher than a threshold which is about 780 and 30 s −1 for compression and tensile test respectively. The increased of DIF was correlated with the speed of crack development and pull-out of the graphene oxide nanosheets. Also, the pull-out or fracture of graphene oxide on fragmented sand was also found a possible contributing factor to the increased DIF. The findings of this study indicate the future potential of atomic-thin nanosheets for materials under extreme impact and blast loading.
Published: 2019

31. The agreement between self-reporting and clinical diagnosis for selected medical conditions among the elderly in Taiwan

Author: Wu, SC, Li, CY, and Ke, DS
Published: 2000
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32. Effects of graphene oxide agglomerates on workability, hydration, microstructure and compressive strength of cement paste

Author: Li, X, Liu, YM, Li, WG, Li, CY, Sanjayan, JG, Duan, WH, Li, Z, Li, X, Liu, YM, Li, WG, Li, CY, Sanjayan, JG, Duan, WH, and Li, Z
Abstract: © 2017 Elsevier Ltd In this study, the effects of graphene oxide (GO) agglomerates on the workability, hydration, microstructure, and compressive strength of cement paste were addressed. The workability of cement paste was reduced because of the presence of GO agglomerates, which entrap a large amount of water. The mini-slump diameter was reduced by 21% with the incorporation of 0.03% by weight GO in cement paste. Hydration of the cement paste was accelerated due to nucleation sites provided by GO agglomerates serving as seeding material in the cement paste. The incorporation of GO refined the pore structure of the cement paste. The incorporation of GO was found to have much greater impact on macropores than on large and small mesopores. At 28 days, the incorporation of 0.04% by weight GO produced a 14% improvement in the compressive strength of cement paste. Below 0.03%, the incorporation of GO had no positive effects on compressive strength.
Published: 2017

33. Spinal 5-HT3 receptors facilitate behavioural hypersensitivity induced by elevated calcium channel alpha-2-delta-1 protein

Author: Li Cy, Z.D. Luo, Eric Y. Chang, Sandhu A, and X. Chen
Subjects: business.industry, Calcium channel, Stimulation, Pharmacology, Nerve injury, Spinal cord, Serotonergic, Anesthesiology and Pain Medicine, medicine.anatomical_structure, Peripheral nerve injury, Neuropathic pain, Hyperalgesia, medicine, medicine.symptom, business
Abstract: Background Peripheral nerve injury induces up-regulation of the calcium channel alpha-2-delta-1 proteins in the dorsal root ganglia and dorsal spinal cord that correlates with neuropathic pain development. Similar behavioural hypersensitivity was also observed in injury-free transgenic (TG) mice over-expressing the alpha-2-delta-1 proteins in neuronal tissues. To investigate pathways regulating alpha-2-delta-1 protein-mediated behavioural hypersensitivity, we examined whether spinal serotonergic 5-HT3 receptors are involved similarly in the modulation of behavioural hypersensitivity induced by either peripheral nerve injury in a nerve injury model or neuronal alpha-2-delta-1 over-expression in the TG model. Methods The effects of blocking behavioural hypersensitivity in these two models by intrathecal or systemic injections of 5-HT3 receptor antagonist, ondansetron, were compared. Results Our data indicated that the TG mice displayed similar behavioural hypersensitivities to non-painful mechanical stimulation (tactile allodynia) and painful thermal stimulation (thermal hyperalgesia) as that observed in the nerve injury model. Interestingly, tactile allodynia and thermal hyperalgesia in both models can be blocked similarly by intrathecal, but not systemic, injection of ondansetron. Conclusions Our data suggest that spinal 5-HT3 receptors are likely to play a role in alpha-2-delta-1-mediated behavioural hypersensitivities through a descending serotonergic facilitation.
Published: 2012

34. Genotyping and drug resistance patterns of Mycobacterium tuberculosis strains in five provinces of China

Author: Guanglu Jiang, Yang Liu, Guo Yl, Li Cy, Shi Gl, Wang Sm, and Song Cx
Subjects: Adult, Male, Pulmonary and Respiratory Medicine, China, Tuberculosis, Genotype, Antitubercular Agents, Drug resistance, Biology, Mycobacterium tuberculosis, Young Adult, Beijing, Drug Resistance, Multiple, Bacterial, medicine, Humans, Antibiotics, Antitubercular, Genotyping, Geography, Middle Aged, biology.organism_classification, medicine.disease, DNA Fingerprinting, Virology, Interspersed Repetitive Sequences, Infectious Diseases, Female, Rifampin, Restriction fragment length polymorphism, Polymorphism, Restriction Fragment Length, Rifampicin, medicine.drug
Abstract: OBJECTIVE: To evaluate the distribution of the Mycobacterium tuberculosis Beijing genotype and the association of the genotype with drug-resistant M. tuberculosis strains in five provinces in China. DESIGN: M. tuberculosis strains (n = 158) isolated from five provinces of China were subjected to insertion sequence 6110 restriction fragment length polymorphism (RFLP), spoligotyping and mycobacterial interspersed repetitive units (MIRU) analyses. The prevalence of the Beijing genotype strains in each province was determined and compared. The proportion method was used to test the drug susceptibility of all strains. RESULT: Of the 158 strains, 123 (77.8%) were identified as the Beijing genotype by RFLP and spoligotyping. Nearly all the strains (n = 152, 96.2%) were grouped into 14 shared spoligotypes. Six other spoligotypes were unique to China. The prevalence of the Beijing genotype was significantly higher in the interior than in coastal areas (P < 0.001, OR 5.4, 95%CI 2.3-12.7). Resistance to rifampicin (RMP) was associated with the Beijing strain (P < 0.05, OR 3.7, 95%CI 1.2―11.1). CONCLUSION: The M. tuberculosis Beijing genotype varies in prevalence in different regions of China and is solely associated with RMP resistance.
Published: 2011

35. Mutations Found in the pncA Gene of Mycobacterium tuberculosis in Clinical Pyrazinamide-resistant Isolates from a Local Region of China

Author: Lijun Bi, Li Cy, Xian-En Zhang, Jun Deng, Hongtai Zhang, and Sun Zg
Subjects: DNA, Bacterial, China, Tuberculosis, Antitubercular Agents, Microbial Sensitivity Tests, Drug resistance, Polymerase Chain Reaction, Biochemistry, Amidohydrolases, Microbiology, law.invention, Mycobacterium tuberculosis, chemistry.chemical_compound, Pyrazinoic acid, law, medicine, Humans, Gene, Polymerase chain reaction, biology, business.industry, Biochemistry (medical), Drug Resistance, Microbial, Cell Biology, General Medicine, Pyrazinamide, biology.organism_classification, medicine.disease, chemistry, Mutation, PncA, business, medicine.drug
Abstract: This study was designed to investigate the presence of mutations in the pncA gene, minimum inhibitory concentrations and pyrazinamidase activity of pyrazinamide-resistant Mycobacterium tuberculosis. In total, 47 M. tuberculosis clinical isolates from a local region of China were assayed. Pyrazinamidase activity was measured by pyrazinamide deamination to pyrazinoic acid and ammonia, and a 721 bp region, including the entire pncA open-reading frame, 104 bp of the upstream sequence and 59 bp of the downstream sequence, was determined by DNA sequencing of purified polymerase chain reaction products. Of the 47 isolates resistant to pyrazinamide, 44 lost pyrazinamidase activity and had pncA mutations that occurred mainly near pyrazinamidase's active or metal ion binding sites; nine of them have not been reported previously. Three pyrazinamide-resistant isolates carried the wild-type pncA sequence and retained pyrazinamidase activity. These results show the molecular mechanism of pyrazinamide resistance in China and may also contribute towards the prevention of tuberculosis in China.
Published: 2009

36. The BioMart community portal: An innovative alternative to large, centralized data repositories

Author: Smedley, D, Haider, S, Durinck, S, Pandini, L, Provero, P, Allen, J, Arnaiz, O, Awedh, MH, Baldock, R, Barbiera, G, Bardou, P, Beck, T, Blake, A, Bonierbale, M, Brookes, AJ, Bucci, G, Buetti, I, Burge, S, Cabau, C, Carlson, JW, Chelala, C, Chrysostomou, C, Cittaro, D, Collin, O, Cordova, R, Cutts, RJ, Dassi, E, Di Genova, A, Djari, A, Esposito, A, Estrella, H, Eyras, E, Fernandez-Banet, J, Forbes, S, Free, RC, Fujisawa, T, Gadaleta, E, Garcia-Manteiga, JM, Goodstein, D, Gray, K, Guerra-Assunção, JA, Haggarty, B, Han, DJ, Han, BW, Harris, T, Harshbarger, J, Hastings, RK, Hayes, RD, Hoede, C, Hu, S, Hu, ZL, Hutchins, L, Kan, Z, Kawaji, H, Keliet, A, Kerhornou, A, Kim, S, Kinsella, R, Klopp, C, Kong, L, Lawson, D, Lazarevic, D, Lee, JH, Letellier, T, Li, CY, Lio, P, Liu, CJ, Luo, J, Maass, A, Mariette, J, Maurel, T, Merella, S, Mohamed, AM, Moreews, F, Nabihoudine, I, Ndegwa, N, Noirot, C, Perez-Llamas, C, Primig, M, Quattrone, A, Quesneville, H, Rambaldi, D, Reecy, J, Riba, M, Rosanoff, S, Saddiq, AA, Salas, E, Sallou, O, Shepherd, R, Simon, R, and Sperling, L
Abstract: © 2015 The Author(s). The BioMart Community Portal (www.biomart.org) is a community-driven effort to provide a unified interface to biomedical databases that are distributed worldwide. The portal provides access to numerous database projects supported by 30 scientific organizations. It includes over 800 different biological datasets spanning genomics, proteomics, model organisms, cancer data, ontology information and more. All resources available through the portal are independently administered and funded by their host organizations. The BioMart data federation technology provides a unified interface to all the available data. The latest version of the portal comes with many new databases that have been created by our ever-growing community. It also comes with better support and extensibility for data analysis and visualization tools. A new addition to our toolbox, the enrichment analysis tool is now accessible through graphical and web service interface. The BioMart community portal averages over one million requests per day. Building on this level of service and the wealth of information that has become available, the BioMart Community Portal has introduced a new, more scalable and cheaper alternative to the large data stores maintained by specialized organizations.
Published: 2015

37. Acoustic emission characteristics of instability process of a rock plate under concentrated loading

Author: Wang, SR, Li, CY, Zou, ZS, Liu, XL, Wang, SR, Li, CY, Zou, ZS, and Liu, XL
Abstract: © 2016 Gruppo Italiano Frattura. All Rights Reserved. It can facilitate the understanding of the mechanical properties and failure laws of rocks to research on the rock failure mechanism and evolution characteristics of Acoustic Emission (AE). Under the concentrated loading condition, the fracture and instability test of a rock plate was conducted by using the rock Mechanics Testing System (MTS), meanwhile, these AE events were recorded through the AE recording system. Based on the laboratory test, the numerical simulation was completed by using FLAC3D technique under the criterion that the rupture of a cell or several adjacent cells was regarded as an AE event. The results show that the process of the fracture and instability of the rock plate can be divided into four stages, such as the stress adjusting stage, the brittle fracture stage, the rock-arch bearing load stage and the rock-arch instability stage. And the acoustic emissions display the different characteristics in each one of the four stages. The temporal and spatial distribution characteristics of the AE events with large magnitudes are very similar to those of the natural earthquakes.
Published: 2016

38. Diversity and Distribution of the Banana Wilt Pathogen Fusarium oxysporum F. Sp. cubense in China

Author: Yi Gj, Lindy J. Rose, Yang Qs, Liu Sw, Mostert G, Zuo Cw, Sheng O, Jing Yang, Kuang Rb, Deng Gm, Gao J, Li Cy, Patrick Karangwa, Altus Viljoen, Hu Ch, Ilze Beukes, and Wei Yr
Subjects: Fusarium, Horticulture, biology, Pisang Awak, Inoculation, Musa acuminata, Fusarium oxysporum, Botany, food and beverages, Fusarium oxysporum f.sp. cubense, Cultivar, biology.organism_classification, Fusarium wilt
Abstract: Fusarium oxysporum f. sp. cubense (Foc) causes Fusarium wilt, a lethal disease that results in devastating economic losses to banana production worldwide. The pathogen originates from Asia where it evolved with its host, the wild banana plant Musa acuminata. Foc consists of three races, eight lineages and 24 Vegetative Compatibility Groups (VCGs). Most damage is caused by Foc tropical race 4 (TR4), which occurs exclusively in Asia. China is the biggest producer of Cavendish bananas (AAA) in the world, with plantations covering approximately 372.4677×103 hectares constituting up 90% of banana production, with the rest made up of Pisang Awak (ABB) and Dajiao or Plantain (AAB) bananas. In this study, 80 Foc isolates from six production areas were collected from diseased banana cultivars in China. These isolates were all single-spored and characterized to lineage level using five restriction enzymes while VCG identity was determined by generating nit-mutants, and pairing these mutants with a VCG tester set for Foc. To determine the occurrence of Foc TR4 in China, all isolates were screened with a newly developed Foc TR4-specific primer set. All the Foc isolates were also inoculated on Cavendish, Pisang Awak and Dajiao bananas for pathogenicity testing. Our results showed that Foc in China was highly diverse, as five of the eight lineages and 11 of the 24 known VCGs could be determined. The Foc TR4-specific primer set was highly specific for detecting VCG 01213/16, and could be used in diversity studies to rapidly identify this VCG complex. The majority of the isolates from China were identified as Foc TR4 (VCG 01213/16), and this VCG was found in four of the five production areas. Species of Fusarium other than F. oxysporum were non-pathogenic to banana. The selection of Foc-resistant banana clones, and the development of appropriate disease management strategies for Fusarium wilt of banana in China, is urgently required
Published: 2013

39. Overexpression of a hematopoietic transcriptional regulator EDAG induces myelopoiesis and suppresses lymphopoiesis in transgenic mice

Author: Dong B, Li W, Zhan Yq, Li Yh, Li Cy, Cui Yf, Sun Hb, Yang X, Peng Ry, Yu Dh, Hou N, Yang Xm, Xu Cw, and Xu Wx
Subjects: Cancer Research, Transcription, Genetic, Cellular differentiation, Transgene, Hematopoietic System, CD34, Antigens, CD34, Mice, Transgenic, Biology, Models, Biological, Mice, medicine, Animals, Cell Lineage, Lymphopoiesis, CD11a Antigen, Myelopoiesis, Nuclear Proteins, Cell Differentiation, Hematology, Cell biology, Hematopoiesis, Haematopoiesis, medicine.anatomical_structure, Oncology, Immunology, Bone marrow, Stem cell, Transcription Factors
Abstract: Erythroid differentiation-associated gene (EDAG) is a hematopoietic tissue-specific gene that is highly expressed in the earliest CD34+ lin- bone marrow (BM) cells and involved in the proliferation and differentiation of hematopoietic cells. To investigate the role of EDAG in hematopoiesis, we established an EDAG transgenic mouse model driven by human CD11a promoter. The transgenic mice showed increased mortality with severe organ infiltration by neutrophils, and the homeostasis of hematopoiesis was broken. The myelopoiesis was enhanced with expansion of myeloid cells in BM, increased peripheral granulocytes and extramedullary myelopoiesis in spleen. In contrast to myeloid cells, the lymphoid commitment was severely impaired with the B lymphopoiesis blocked at the transition from pro/pre-B I to pre-B II stage in BM and T thymocytes development blocked at the most immature stage (DN I). Moreover, we showed that EDAG was a transcriptional regulator which had transactivation activity and regulated the expression of several key transcription factors such as PU.1 and Pax5 in transgenic hematopoietic stem cells. These data suggested that EDAG was a key transcriptional regulator in maintaining the homeostasis of hematopoietic lineage commitment.
Published: 2007

40. Identification of stage specific genes of Trichinella spiralis at newborn larvae and adults stages by suppression subtractive hybridization

Author: Liu, My, Li, Cy, Wu, Xp, Le Rhun, Danielle, Boireau, Pascal, Inconnu, Unité mixte de recherche biologie moléculaire et immunologie parasitaires et fongiques, Institut National de la Recherche Agronomique (INRA)-École nationale vétérinaire - Alfort (ENVA)-Agence Française de Sécurité Sanitaire des Aliments (AFSSA)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Institut National de la Recherche Agronomique (INRA)-École nationale vétérinaire d'Alfort (ENVA)-Agence Française de Sécurité Sanitaire des Aliments (AFSSA)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), and ProdInra, Migration
Subjects: [SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2006

41. ISOLATED BONE-MARROW NON-HODGKINS-LYMPHOMA - A CLINICOPATHOLOGICAL STUDY

Author: PONZONI , MAURILIO, LI CY, Ponzoni, Maurilio, and Li, Cy
Abstract: Background: Isolated bone marrow non-Hodgkin's lymphoma (NHL) is rare, and determining the diagnosis is difficult. Patients: We describe four patients with apparent isolated bone marrow NHL. The features they had in common included fever, abnormal liver function, pancytopenia, polyserositis, neurologic symptoms, opportunistic infections, and a short, fatal course. Findings: Routine cytologic and histologic studies showed intermediate and large lymphomatous cells in the bone marrow, with a predominantly interstitial pattern. Immunophenotyping revealed three cases of T-cell and one case of B-cell NHL. Cytogenetic analysis demonstrated an abnormal clone in two patients. Conclusion: The diagnosis of isolated bone marrow NHL should be based on the examination of both bone marrow aspirates and biopsy specimens.
Published: 1994

42. Antitumoral action of interferons and interleukins in combination with radiotherapy. Part 1: Immunologic basis

Author: Herskind, C, Fleckenstein, K, Lohr, J, Li, Cy, Wenz, F, and Lohr, F
Published: 2004

43. Use of State Variables in the Description of Irradiation Creep and Deformation of Metals

Author: Hart, EW, primary and Li, CY, additional
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44. Enhancement of the Radiation Response with Interleukins/Interferons

Author: Lohr, F, Herskind, C, Lohr, J, Wenz, F, and Li, Cy
Published: 2003

45. Poststroke constipation in the rehabilitation ward: incidence, clinical course and associated factors

Author: Lin, CJ, primary, Hung, JW, additional, Cho, CY, additional, Tseng, CY, additional, Chen, HY, additional, Lin, FC, additional, and Li, CY, additional
Published: 2013
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46. [Antitumoral action of interferons and interleukins in combination with radiotherapy. Part II: radiobiological and immunologic strategies]

Author: Herskind, C, Fleckenstein, K, Lohr, J, Li, Cy, Frederik, W, and Lohr, F
Subjects: Radiotherapy, Interleukins, Neoplasms, Humans, Immunotherapy, Interferons, Combined Modality Therapy
Abstract: Combined tumor treatment with cytokines, e. g., interferons (IFN), and radiotherapy was initially of phenomenological nature but has increasingly been based on a radiobiological rationale. However, an improved understanding of the complex interactions of the cytokine network within the immune system warrants the rationale for such studies to be reviewed.Based on published clinical studies, the results of treatment with interferons in combination with radiotherapy are reviewed. New strategies for antitumoral application of cytokines, illustrated by interleukin-(IL-)2 and IL-12 in preclinical and clinical studies, are presented.The initially high expectations regarding the antitumoral action of IFN-alpha, IFN-beta and IFN-gamma in combination with radiotherapy have, with few exceptions, not been fulfilled. In particular, toxicity has been a problem after systemic application. Recent advances in immunology, however, have emphasized the importance of local interactions between antigen-presenting cells and effector cells such as natural killer (NK) cells and cytotoxic T-lymphocytes in the immune reaction against tumors. Preclinical studies with IL-2 und IL-12 have shown efficacy mainly against early metastases, but immune reactions against primary tumors have also been observed. Furthermore, the method and timing of the application have proven to be critical.A few positive clinical studies give cause for hope that a therapeutic benefit may be achieved by targeted, local application of cytokines. Recent preclinical studies indicate the importance of cellular cytokine production in the interaction between the components of the immune system. Gene therapy might contribute to reduce the toxicity associated with cytokine treatment.
Published: 2002

47. Trends and characteristics of pethidine use in Taiwan: a six-year-long survey

Author: Pan, HH, primary, Li, CY, additional, Lin, TC, additional, Wang, JO, additional, Ho, ST, additional, and Wang, KY, additional
Published: 2012
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48. Photostimulated long-lasting phosphorescence in rare-earth-doped glasses

Author: Qiu, JR, Jiang, XW, Zhu, CS, Si, JH, Li, CY, Su, Q, and Hirao, K
Published: 2003

49. The correlation between the severity of radiotherapy-induced glossitis and endothelial cell injury in local tissues in a rat model

Author: Li, CY., primary, Hong, Y., additional, Tao, XA., additional, Xia, J., additional, and Cheng, B., additional
Published: 2011
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50. The development and inflammatory features of radiotherapy-induced glossitis in rats

Author: Li, CY., primary, Chen, XH., additional, Tao, X., additional, Xia, J., additional, and Cheng, B., additional
Published: 2011
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