Author: "Hao Han" / Topic: business - Searchworks@Jio Institute Digital Library Search Results

251 results on '"Hao Han"'

1. Extraordinary optical characteristics of one-dimensional double anti-PT-symmetric ring optical waveguide networks

Author: Hao-Han Chen, Xiangbo Yang, Jie-Feng Xu, and Zhan-Hong Lin
Subjects: Physics, Optical amplifier, Ring (mathematics), business.industry, Physics::Optics, General Physics and Astronomy, Eigenfunction, Optics, Reflection (mathematics), Transmission (telecommunications), Photonics, business, Optical filter, Refractive index
Abstract: In this paper, a unique one-dimensional double anti-PT-symmetric ring optical waveguide network (1D DAPTSROWN) is designed whose refractive index satisfies n ( x ) = − n ∗ ( − x ) . The extraordinary optical characteristics of the network are studied by means of the generalized Floquet-Bloch theorem, three-material network equation and generalized eigenfunction method. Due to the physical difference between the anti-PT-symmetric and PT-symmetric optical waveguide networks, the previous methond of the PT-symmetric optical waveguide network is not applicable to the anti-PT-symmetric optical waveguide network designed in this paper. Thus, based on the previous method and the network equation, we propose a connection function to identify the extremum mode points in the anti-PT-symmetric optical waveguide network. At the extremum mode point, the optical waveguide network can produce extraordinary ultra-strong transmission, ultra-strong reflection, and ultra-strong photonic localizations. The corresponding calculated values in this paper arrives at 1 0 28 , which is much larger than 1 0 12 (the best result reported previously). This shows that the anti-PT-symmetric network may have potential in applications in designing optical filters, optical amplifiers and so on.
Published: 2022

2. Primary-User-Friendly Dynamic Spectrum Anti-Jamming Access: A GAN-Enhanced Deep Reinforcement Learning Approach

Author: Xueqiang Chen, Wen Li, Hao Han, Yifan Xu, Yuhua Xu, Zhu Jin, and Gui Fang
Subjects: Scheme (programming language), User Friendly, business.industry, Computer science, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Jamming, Overlay, computer.software_genre, Cognitive radio, Control and Systems Engineering, Virtual machine, Reinforcement learning, Electrical and Electronic Engineering, business, computer, Computer network, Communication channel, computer.programming_language
Abstract: This letter studies the problem of deep reinforcement learning (DRL)-based dynamic spectrum anti-jamming access in overlay cognitive radio networks. To prevent secondary user (SU) from interfering with primary user (PU) and being jammed by jammer, we propose a PU-friendly dynamic spectrum anti-jamming access scheme. First, a generative adversarial network (GAN)-based virtual environment is proposed to simulate spectrum environment. Then, a DRL-based channel decision network (CDN) is trained to learn the optimal spectrum access policy in the virtual environment. Finally, SU accesses spectrum environment under the guidance of the trained CDN. Simulation results show that the proposed scheme is able to elude both PU signals and jamming completely and converges much faster than the scheme that trains the CDN in spectrum environment from scratch.
Published: 2022

3. Securing Transplanted Meniscal Allografts Using Bone Plugs Results in Lower Risks of Graft Failure and Reoperations: A Meta-analysis

Author: Heng An Lin, Chin Kai Cheong, Aaron J. Krych, Keng Lin Wong, Daniel B.F. Saris, Hao Han Hai, Zachariah Gene Wing Ow, Cheng Han Ng, and Dean Wang
Subjects: medicine.medical_specialty, Meniscal injury, Graft failure, business.industry, Meta-analysis, Orthopedic surgery, medicine, Treatment options, Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine, business, Surgery
Abstract: Background: Meniscal allograft transplant (MAT) is an important treatment option for young patients with deficient menisci; however, there is a lack of consensus on the optimal method of allograft fixation. Hypothesis: The various methods of MAT fixation have measurable and significant differences in outcomes. Study Design: Meta-analysis; Level of evidence, 4. Methods: A single-arm meta-analysis of studies reporting graft failure, reoperations, and other clinical outcomes after MAT was performed. Studies were stratified by suture-only, bone plug, and bone bridge fixation methods. Proportionate rates of failure and reoperation for each fixation technique were pooled with a mixed-effects model, after which reconstruction of relative risks with confidence intervals was performed using the Katz logarithmic method. Results: A total of 2604 patients underwent MAT. Weighted mean follow-up was 4.3 years (95% CI, 3.2-5.6 years). During this follow-up period, graft failure rates were 6.2% (95% CI, 3.2%-11.6%) for bone plug fixation, 6.9% (95% CI, 4.5%-10.3%) for suture-only fixation, and 9.3% (95% CI, 6.2%-13.9%) for bone bridge fixation. Transplanted menisci secured using bone plugs displayed a lower risk of failure compared with menisci secured via bone bridges (RR = 0.97; 95% CI, 0.94-0.99; P = .02). Risks of failure were not significantly different when comparing suture fixation to bone bridge (RR = 1.02; 95% CI, 0.99-1.06; P = .12) and bone plugs (RR = 0.99; 95% CI, 0.96-1.02; P = .64). Allografts secured using bone plugs were at a lower risk of requiring reoperations compared with those secured using sutures (RR = 0.91; 95% CI, 0.87-0.95; P < .001), whereas allografts secured using bone bridges had a higher risk of reoperation when compared with those secured using either sutures (RR = 1.28; 95% CI, 1.19-1.38; P < .001) or bone plugs (RR = 1.41; 95% CI, 1.32-1.51; P < .001). Improvements in Lysholm and International Knee Documentation Committee scores were comparable among the different groups. Conclusion: This meta-analysis demonstrates that bone plug fixation of transplanted meniscal allografts carries a lower risk of failure than the bone bridge method and has a lower risk of requiring subsequent operations than both suture-only and bone bridge methods of fixation. This suggests that the technique used in the fixation of a transplanted meniscal allograft is an important factor in the clinical outcomes of patients receiving MATs.
Published: 2021

4. Perioperative steroid administration reduces overall complications in patients undergoing liver resection: A meta-analysis

Author: Thomas Zheng Jie Teng, Vishal G Shelat, Phoebe Aw, and Hao-Han Hai
Subjects: medicine.medical_specialty, Liver resection, business.industry, medicine.medical_treatment, Perioperative, Steroid, Surgery, Resection, Meta-analysis, Systematic review, Medicine, In patient, business, Meta-Analysis, Outcome
Abstract: BACKGROUND Hepatic resection (HR) results in an inflammatory response that can be modified by perioperative steroid administration. However, it remains to be determined if this response's attenuation translates to a reduction in complications. AIM To evaluate if perioperative administration of steroids reduces complications following HR. METHODS A systematic review of randomized controlled trials (RCTs) was conducted on PubMed, Embase, and Cochrane Central Register of Controlled Trials to evaluate the effect of perioperative steroid (compared to placebo or no intervention) use in patients undergoing HR. Clinical outcomes were extracted, and meta-analysis was performed. RESULTS 8 RCTs including 590 patients were included. Perioperative steroid administration was associated with significant reduction in postoperative complications [odds ratios: 0.58; 95% confidence intervals (CI): 0.35-0.97, P = 0.04]. There was also improvement in biochemical and inflammatory markers, including serum bilirubin on postoperative day 1 [MD: -0.27; 95%CI: (-0.47, -0.06), P = 0.01], C-reactive protein on postoperative day 3 [MD: -4.89; 95%CI: (-5.83, -3.95), P < 0.001], and interleukin-6 on postoperative day 1 [MD: -54.84; 95%CI: (-63.91, -45.76), P < 0.001]. CONCLUSION Perioperative steroids administration in HR may reduce overall complications, postoperative bilirubin, and inflammation. Further studies are needed to determine the optimal dose and duration and patient selection.
Published: 2021

5. Mechanical Failure Modes and Fractal Characteristics of Coal Samples under Repeated Drying–Saturation Conditions

Author: Haotian Guo, Chuanjin Tang, Qiang Xu, Jingmin Xu, Hao Han, Shan Changhao, and Qiangling Yao
Subjects: geography, geography.geographical_feature_category, business.industry, Coal mining, Aquifer, complex mixtures, Residual strength, Acoustic emission, Fracture (geology), Environmental science, Coal, Geotechnical engineering, Saturation (chemistry), business, Groundwater, General Environmental Science
Abstract: The ecology of arid mining areas in western China is facing serious problems because underground coal mining destroys overlying aquifers, causing groundwater to shift along fracture zones and groundwater levels to drop. Therefore, it is important to construct strategically coal mine goafs as underground water reservoirs to store and utilize mining-affected water resources. During the long-term operation of underground water reservoirs, the stability of coal pillar dams is affected by the repeated rise and fall of mine water levels. To understand the repeated effects of water, nondestructive water immersion, ultrasonic velocity, uniaxial compression, and acoustic emission (AE) tests were performed to study the mechanical properties and damage mechanisms of coal samples under repeated drying–saturation conditions. The ultrasonic velocity test mainly achieved two functions: selecting consistent coal samples and providing evidence of changes after each drying and saturation process. Coal samples were grouped according to the number of drying–saturation processes (DSPs) to investigate and compare the mechanical and AE parameters. The post-peak phases of full stress–strain curves present perpendicular, L-shaped, and stepped forms, among which the latter two show obvious residual strength. The AE count, cumulative AE count, and stress can jointly determine the various stages and stress thresholds of the sample failure process (or crack development process), except the boundary between elastic stage and stable crack growth stage. Multiple immersions in water reduces the fractal dimension of broken blocks; that is, the degree of fragmentation decreases and the quantity and mass of large-size blocks increase.
Published: 2021

6. A deep learning technique-based automatic monitoring method for experimental urban road inundation

Author: Li Xuan, Wang Zhaofeng, Qiuhua Liang, Ganggang Bai, Gong Jiahui, Su Feng, Hao Han, Tian Wang, Bingyao Li, Jingming Hou, and Xujun Gao
Subjects: Atmospheric Science, experimental urban road inundation, 0208 environmental biotechnology, 02 engineering and technology, Information technology, yolov2 model, Environmental technology. Sanitary engineering, 0202 electrical engineering, electronic engineering, information engineering, Monitoring methods, TD1-1066, Civil and Structural Engineering, Water Science and Technology, Remote sensing, Water area, business.industry, Deep learning, inundation area, Training (meteorology), Urban road, Geotechnical Engineering and Engineering Geology, T58.5-58.64, 020801 environmental engineering, deep learning technique, Environmental science, 020201 artificial intelligence & image processing, Artificial intelligence, Scale (map), business
Abstract: Reports indicate that high-cost, insecurity, and difficulty in complex environments hinder the traditional urban road inundation monitoring approach. This work proposed an automatic monitoring method for experimental urban road inundation based on the YOLOv2 deep learning framework. The proposed method is an affordable, secure, with high accuracy rates in urban road inundation evaluation. The automatic detection of experimental urban road inundation was carried out under both dry and wet conditions on roads in the study area with a scale of a few m2. The validation average accuracy rate of the model was high with 90.1% inundation detection, while its training average accuracy rate was 96.1%. This indicated that the model has effective performance with high detection accuracy and recognition ability. Besides, the inundated water area of the experimental inundation region and the real road inundation region in the images was computed, showing that the relative errors of the measured area and the computed area were less than 20%. The results indicated that the proposed method can provide reliable inundation area evaluation. Therefore, our findings provide an effective guide in the management of urban floods and urban flood-warning, as well as systematic validation data for hydrologic and hydrodynamic models. HIGHLIGHTS First experimental urban road inundation automatic detection study using YOLOv2.; Proposed an inundation area computation method based on a deep learning technique.; Good performance on an experimental urban road inundation detection was tested.
Published: 2021

7. Interface behavior of partial depth repair for airport concrete pavement subjected to differential volume change

Author: Jung, YooSeok, Linb, Wuguang, Hao, Han, and Cho, Yoon-Ho
Subjects: Concretes -- Analysis -- Mechanical properties, Pavements -- Analysis -- Mechanical properties, Business, Construction and materials industries
Abstract: ABSTRACT For partial depth repair of airport concrete pavement, the thickness and physical properties of the materials used in the repair project are the prerequisite for the success of the [...]
Published: 2017
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8. Surgical treatment of sternum comminuted fracture with memory alloy embracing fixator

Author: Leilei Peng, Jie Zhu, Yu Tao, Shun Xu, Hao Han, Yongjing Liu, Qi Yu, and Shengbo Qi
Subjects: Pulmonary and Respiratory Medicine, Thorax, medicine.medical_specialty, Sternal fracture, Sternum, business.industry, medicine.medical_treatment, 030208 emergency & critical care medicine, medicine.disease, Surgery, 03 medical and health sciences, Fixation (surgical), Exact test, 0302 clinical medicine, Patient satisfaction, medicine, Internal fixation, Original Article, 030216 legal & forensic medicine, Surgical treatment, business
Abstract: BACKGROUND: Sternal fracture can result from multiple types of severe chest trauma and carries significant risk. Surgical fixation is an effective method for sternal fracture. METHODS: The clinical data of patients with sternal fractures who presented to our hospital between August 2016 and July 2019 were collected. The 42 patients were divided into three groups, with 15 patients treated by internal fixation with NI-TI memory alloy embracing fixator, 10 patients receiving steel wire fixation, and 17 who received non-surgical treatment and who was designated as a control (conservative) group. Differences in clinical indices included the duration of surgery, blood loss, hospitalization, wound healing, hospitalization expenses, VAS scores, and patient satisfaction scores between the three groups was compared. The analysis of variance and t-test were used for quantitative variables, which were approximately normally distributed. Dichotomous data were compared used Pearson χ(2) or Fisher’s exact test, and a P value less than 0.05 was considered as statistically significant. RESULTS: All patients were cured, and there were no significant differences in general clinical features between the three groups (P>0.05). Thoracic deformity in the surgical groups was corrected anatomically and received better pain scores, while patients in the NI-TI memory alloy embracing fixator group showed advantages of bleeding and patient satisfaction (P
Published: 2021

9. Risk factors of poor prognosis in patients with pyrrolidine alkaloid-induced hepatic sinusoidal obstruction syndrome after transjugular intrahepatic portosystemic shunt

Author: Han Zhang, Jingjing Tu, Ming Zhang, Bin Zhang, Chunyan Peng, Yuzheng Zhuge, Yi Wang, Qin Yin, Xiaoping Zou, Feng Zhang, Hui Xu, Wei Zhang, Hao Han, Jian Yang, and Jiang-qiang Xiao
Subjects: medicine.medical_specialty, Pyrrolidines, medicine.medical_treatment, Hepatic Veno-Occlusive Disease, Gastroenterology, Alkaloids, Risk Factors, Internal medicine, Ascites, Humans, Medicine, Cumulative incidence, Survival rate, Retrospective Studies, Prothrombin time, Hepatology, medicine.diagnostic_test, business.industry, Hazard ratio, Prognosis, Confidence interval, Treatment Outcome, Portasystemic Shunt, Transjugular Intrahepatic, medicine.symptom, business, Transjugular intrahepatic portosystemic shunt
Abstract: Transjugular intrahepatic portosystemic shunt (TIPS) is an effective method in treating patients with severe hepatic sinusoidal obstruction syndrome induced by pyrrolidine alkaloids (PA-HSOS). However, some patients still have poor postoperative prognosis. So, we aim to evaluate the predictors associated with poor outcomes in PA-HSOS patients receiving TIPS. Patients who were diagnosed as PA-HSOS and received TIPS in our hospital between January 2013 and April 2019 were reviewed retrospectively. Baseline information and clinical data were collected. The hazard ratios (HRs) of factors associated with poor prognosis were analyzed by Cox proportional hazard analysis. The Kaplan–Meier method was used to analyze and compare the cumulative incidence of the poor results and survival rate of patients. During a median of 19.25-month follow-up, death occurred in 17 patients. We found that prothrombin time at baseline with an adjusted HR 1.110 (95% confidence interval 1.014–1.216, p = 0.024) and serum total bilirubin of 9 mg/dl 5 days after TIPS with an adjusted HR 1.114 (95% confidence interval 1.042–1.190, p = 0.001) were independent risk factors for death. The 1-year and 5-year survival rate were 86.2% and 82.1%, respectively. The 1-year survival rate in patients with prothrombin time > 17.85 s at baseline and serum total bilirubin > 9 mg/dl at 5 days after TIPS was significantly lower than that of patients below the corresponding threshold, respectively. Prolonged prothrombin time at baseline and increased serum total bilirubin levels 5 days after TIPS are independent risk factors for predicting death after TIPS treatment in PA-HSOS patients.
Published: 2021

10. A nanoparticle-containing polycaprolactone implant for combating post-resection breast cancer recurrence

Author: Zhixuan Wang, Siyu Wang, Lianhui Wang, Jiahui Wang, Hao Han, Wenjing Yang, Wei-Kui Jin, Shengpei Shao, Huaxin Xiao, Lixing Weng, and Yu Gao
Subjects: Polyesters, medicine.medical_treatment, Antineoplastic Agents, Breast Neoplasms, Metastasis, Mice, chemistry.chemical_compound, Breast cancer, Cell Line, Tumor, medicine, Animals, Humans, General Materials Science, Doxorubicin, Chemotherapy, business.industry, Breast cancer recurrence, medicine.disease, chemistry, Polycaprolactone, Cancer research, Nanoparticles, Female, Implant, business, Adjuvant, medicine.drug
Abstract: The recurrence and metastasis of tumor after surgery is the main cause of death for patients with breast cancer. Systemic chemotherapy suffered from low delivery efficiency to tumors and the side effects of chemo drugs. Localized chemotherapy using drug-containing implants is an alternative, while the reconstruction of breast tissue is generally considered after chemotherapy, resulting in a second surgery for patients. Here, we describe a strategy using implantable drug-containing polymeric scaffolds to deliver chemo drugs directly to the post-resection site, and simultaneously provide mechanical support and regenerative niche for breast tissue reconstruction. When doxorubicin was loaded in mesoporous silica nanoparticles and subsequently incorporated into polycaprolactone scaffolds (DMSN@PCL), a 9-week sustained drug release was achieved post implantation in mice. The local recurrence of residual tumor after surgery was significantly inhibited within 4 weeks in a post-surgical mouse model bearing xenograft MDA-MB-231 tumor. DMSN@PCL scaffolds exhibited good biocompatibility in mice during the treatment. We believe our strategy holds great promise as an adjuvant localized chemotherapy in clinics for combating post-resection breast cancer recurrence.
Published: 2021

11. Distribution characteristics, exploration & development, geological theories research progress and exploration directions of shale gas in China

Author: Qiu-chen Xu, Hao-han Li, Shi-zhen Li, Zhi Zhou, Wei-bin Liu, Sinopec Petroleum Exploration, Si-yu Wei, Hai-kuan Nie, Lei-fu Zhang, Teng Song, and Shu Tao
Subjects: Shale gas, business.industry, Earth science, Materials Chemistry, Distribution (economics), China, business, Geology
Published: 2021

12. The Role of Coal Mechanical Characteristics on Reservoir Permeability Evolution and Its Effects on CO2 Sequestration and Enhanced Coalbed Methane Recovery

Author: Junqiang Kang, Hao Han, Xuehai Fu, Shun Liang, Chuanjin Tang, Yaowu Liang, and Liqiang Yu
Subjects: animal structures, Materials science, Article Subject, Coalbed methane, 0211 other engineering and technologies, 02 engineering and technology, Carbon sequestration, 010502 geochemistry & geophysics, 01 natural sciences, Matrix (geology), medicine, Coal, 021108 energy, Elastic modulus, 0105 earth and related environmental sciences, QE1-996.5, Petroleum engineering, business.industry, technology, industry, and agriculture, Coal mining, Stiffness, Geology, Permeability (earth sciences), General Earth and Planetary Sciences, medicine.symptom, business
Abstract: Elastic modulus is an important parameter affecting the permeability change in the process of coalbed methane (CBM)/enhanced coalbed methane (ECBM) production, which will change with the variable gas content. Much research focuses on the constant value of elastic modulus; however, variable stiffness of coal during CO2 injection has been considered in this work. The coupled thermo-hydro-mechanical (THM) model is established and then validated by primary production data, as well as being applied in the prediction of CO2/N2-ECBM recovery. The results show that the harder coal seam is beneficial to primary production, while the softer coal seam results in greater CO2/N2-ECBM recovery and CO2 sequestration. N2 and CO2 mixture injection could be applied to balance early N2 breakthrough and pronounced matrix swelling induced by CO2 adsorption, and to prolong the process of effective CH4 recovery. Besides, reduction in stiffness of coal seam during CO2 injection would moderate the significant permeability loss induced by matrix swelling. With the increase of the weakening degree of coal seam stiffness, CO2 cumulative storage also shows an increasing trend. Neglecting the weakening effect of CO2 adsorption on coal seam stiffness could underestimate the injection capacity of CO2. Injection of hot CO2 could improve the permeability around injection well and then enhance CO2 cumulative storage and CBM recovery. Furthermore, compared with ECBM production, injection temperature is more favorable for CO2 storage, especially within hard coal seams. Care should be considered that significant permeability change is induced by mechanical characteristics alterations in deep burial coal seams in further study, especially for CO2-ECBM projects.
Published: 2020

13. Distal ureteral stone in an ileal conduit: A case treated by antegrade flexible ureteroscopic lithotripsy

Author: Jhen-Hao Jhan, Tsung-Yi Huang, and Hao-Han Chang
Subjects: medicine.medical_specialty, Medicine (General), medicine.medical_treatment, Ureteral stone, Case Report, Flexible ureteroscopy, Case Reports, 030204 cardiovascular system & hematology, urologic and male genital diseases, 03 medical and health sciences, 0302 clinical medicine, Electrical conduit, R5-920, medicine, In patient, ureter stone, flexible ureteroscopy, business.industry, urogenital system, Urinary diversion, Ureter stone, General Medicine, respiratory system, female genital diseases and pregnancy complications, Surgery, 030220 oncology & carcinogenesis, urinary diversion, Medicine, Ureteroscopic lithotripsy, business, human activities
Abstract: Antegrade flexible URSL is a minimal invasive option for treating distal ureteral stones in patient after urinary diversion.
Published: 2020

14. Diagnostic value of conventional ultrasound and shear wave elastography in detecting transjugular intrahepatic portosystemic shunt dysfunction

Author: Jian Yang, Hao Han, Bin Yang, Feng Zhang, Wei-Kui Jin, Xia Li, Yuzheng Zhuge, and Min Wu
Subjects: Adult, Liver Cirrhosis, Male, medicine.medical_specialty, medicine.medical_treatment, Hepatic Veins, Esophageal and Gastric Varices, Conventional ultrasound, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Hypertension, Portal, Ascites, medicine, Humans, Radiology, Nuclear Medicine and imaging, Aged, Retrospective Studies, Ultrasonography, Shear wave elastography, Portography, Radiological and Ultrasound Technology, medicine.diagnostic_test, Portal Vein, business.industry, Ultrasound, General Medicine, Middle Aged, Reference Standards, medicine.disease, Elasticity, Liver, Splenic Vein, Elasticity Imaging Techniques, Portal hypertension, Female, Stents, 030211 gastroenterology & hepatology, Radiology, Elastography, Portasystemic Shunt, Transjugular Intrahepatic, medicine.symptom, Portosystemic shunt, Gastrointestinal Hemorrhage, business, Transjugular intrahepatic portosystemic shunt, Blood Flow Velocity, Spleen
Abstract: Background Transjugular intrahepatic portosystemic shunt (TIPS) dysfunction can cause recurrent portal hypertension (PH)-related complications such as ascites and gastroesophageal variceal bleeding. Portography is invasive and costly limits its use as a screening modality. Purpose To assess the clinical value of conventional ultrasound in combination with point shear wave elastography (pSWE) to predict TIPS dysfunction. Material and Methods A total of 184 patients with cirrhosis scheduled for TIPS implantation were enrolled in this study and evaluated retrospectively. The splenoportal venous blood flow parameter, liver stiffness (LS), and spleen stiffness (SPS) were measured. Outcome measures included differences in portal vein velocity (PVV), splenic vein velocity (SPVV), LS, and SPS. The accuracy of change in PVV (ΔPVV), SPVV (ΔSPVV), and SPS (ΔSPS) to diagnose TIPS dysfunction was investigated. Results TIPS dysfunction occurred in 28 of 184 patients (15.2%). Eighteen (64.3%) patients had shunt stenoses and 10 (35.7%) had shunt occlusion. Portal vein diameter (PVD), PVV, splenic vein diameter (SPVD), SPVV, LS, and SPS were not significantly different between the TIPS normal and TIPS dysfunction groups. Compared with the TIPS normal group, PVV and SPVV of the TIPS dysfunction group decreased significantly, whereas SPS increased significantly ( P Conclusion pSWE showed a diagnostic efficacy comparable to conventional ultrasound for diagnosing TIPS dysfunction and can be used routinely after TIPS procedures.
Published: 2020

15. Small bowel racemose hemangioma complicated with obstruction and chronic anemia: A case report and review of literature

Author: Hao Yu, Zhi-Hao Han, Ya-Nan Zou, Xin-Jian Wang, and Ji-Xin Fu
Subjects: Abdominal pain, medicine.medical_specialty, Anemia, Nausea, Case Report, Chronic anemia, Diagnosis, Differential, 03 medical and health sciences, 0302 clinical medicine, Melena, Ileum, Humans, Medicine, Computed tomography, business.industry, Teratoma, Gastrointestinal hemangioma, Gastroenterology, Small bowel obstruction, General Medicine, Racemose hemangioma, medicine.disease, eye diseases, Abdominal mass, Ileal Neoplasms, Bowel obstruction, Treatment Outcome, medicine.anatomical_structure, Child, Preschool, 030220 oncology & carcinogenesis, Chronic Disease, Abdomen, Female, Laparoscopy, 030211 gastroenterology & hepatology, Radiology, medicine.symptom, Segmental resection, Hemangioma, Tomography, X-Ray Computed, business, Intestinal Obstruction
Abstract: Background Gastrointestinal hemangiomas are rare benign tumors. According to the size of the affected vessels, hemangiomas are histologically classified into cavernous, capillary, or mixed-type tumors, with the cavernous type being the most common and racemose hemangiomas being very rare in the clinic. Melena of uncertain origin and anemia are the main clinical manifestations, and other presentations are rare. Due to the rarity of gastrointestinal hemangiomas and lack of specific manifestations and diagnostic methods, preoperative diagnoses are often delayed or incorrect. Case summary We report a 5-year-old girl who presented with abdominal pain, nausea, and vomiting for a duration of 10 h. The laboratory studies showed prominent anemia. Computed tomography and contrast-enhanced computed tomography of the abdomen revealed a small bowel obstruction caused by a giant abdominal mass. Segmental resection of the ileal lesions was performed through surgery, and the final pathology results revealed a diagnosis of racemose hemangioma complicated by a small bowel obstruction and simultaneous chronic anemia. Conclusion The current report will increase the understanding of the diagnosis and treatment of gastrointestinal hemangiomas and provide a review of the related literature.
Published: 2020

16. Cyanidin-3-glucoside from Black Rice Ameliorates Diabetic Nephropathy via Reducing Blood Glucose, Suppressing Oxidative Stress and Inflammation, and Regulating Transforming Growth Factor β1/Smad Expression

Author: Ching Yuan Hu, Jia He, Hai Jiang, Shan Shan Qi, Hongxing Zheng, Xin Shen Li, and Hao Han
Subjects: Blood Glucose, Male, 0106 biological sciences, medicine.medical_specialty, Black rice, Smad2 Protein, SMAD, medicine.disease_cause, 01 natural sciences, Anthocyanins, Rats, Sprague-Dawley, Transforming Growth Factor beta1, Diabetic nephropathy, Glucosides, Internal medicine, Diabetes mellitus, medicine, Animals, Humans, Diabetic Nephropathies, Smad3 Protein, Kidney, Plant Extracts, business.industry, 010401 analytical chemistry, Glomerulosclerosis, Oryza, General Chemistry, medicine.disease, Rats, 0104 chemical sciences, Oxidative Stress, medicine.anatomical_structure, Endocrinology, General Agricultural and Biological Sciences, business, Oxidative stress, 010606 plant biology & botany, Transforming growth factor
Abstract: Diabetic nephropathy (DN) is one of the serious complications in diabetes. Cyanidin-3-glucoside (C3G) from black rice was reported to have hypoglycemic effects and an anti-osteoporosis effect in diabetic rats. Whether it has preventive effects on DN has not been reported. In this study, we established a rat model of DN, and C3G at two doses (10 and 20 mg kg-1 day-1) were administered to see its anti-DN effect. A total of 8 weeks of C3G supplementation decreased blood glucose and serum insulin, improved the renal function, and relieved renal glomerular sclerosis and interstitial fibrosis of DN rats. Also, the kidneys of DN rats had improved the oxidative defense system. Pro-inflammatory mediators were markedly reduced in serum and kidneys of the C3G-treated groups. Transforming growth factor β1 (TGF-β1), phosphor-Smad2, and phosphor-Smad3 protein expression levels were significantly decreased in the kidney of the C3G-treated group, whereas the Smad7 expression level was upregulated by C3G. Our results indicate that C3G can ameliorate DN via antioxidative stress and anti-inflammation and regulate the TGF-β1/Smad2/3 pathway. Our results suggest that C3G from black rice might be used as a renal-protective nutrient in DN.
Published: 2020

17. Instrument-Free Detection of FXYD3 Using Vial-Based Immunosensor for Earlier and Faster Urothelial Carcinoma Diagnosis

Author: See-Tong Pang, Ying-Tzu Chen, Hao-Han Pang, Hung-Wei Yang, Nan-Si Li, and Ying-Pei Hsu
Subjects: Urologic Neoplasms, medicine.medical_specialty, Correction method, Urology, Bioengineering, Biosensing Techniques, 02 engineering and technology, Urine, 01 natural sciences, Vial, Humans, Medicine, Postoperative monitoring, Instrumentation, Survival rate, Urothelial carcinoma, Point of care, Fluid Flow and Transfer Processes, business.industry, Process Chemistry and Technology, 010401 analytical chemistry, Membrane Proteins, 021001 nanoscience & nanotechnology, Neoplasm Proteins, 0104 chemical sciences, Urinary Bladder Neoplasms, Biomarker (medicine), 0210 nano-technology, business
Abstract: The incidence and 5 year recurrence rate of urothelial carcinomas (UCs), including UC of the bladder (UCB) and upper urinary tract UC (UTUC), have increased annually. There is a great need for a simple and fast point-of-care (POC) test for early diagnosis and amelioration in the survival rate. We present a POC test comprising a new vial-immunosensor, nanoenzyme, and iPhone 7 plus, which detects and quantifies the new biomarker FXYD domain-containing ion transport regulator 3 (FXYD3) in human urine for specific UC screening, tumor-grade classification, and postoperative monitoring by the grayscale value of the photograph taken. The performance of the proposed POC test was then verified using urine from 4 healthy people, 40 UCB patients (10 patients were low-grade and 30 patients were high-grade), and 13 UTUC patients (2 patients were low-grade and 11 patients were high-grade), confirming the accuracy and specificity by comparing the results with those obtained by enzyme-linked immunosorbent assay (ELISA). Moreover, we also designed a correction method that can make the grayscale values calculated by different smartphones close to the values calculated by iPhone 7 plus, resulting in the POC test enabling simple, fast, universal, and portable testing, data storage, and sharing for personal UCs screening and postoperative monitoring.
Published: 2020

18. Research progress and theoretical framework of multidimensional observation of grassland resources

Author: Ting Peng, Jing-ying Fu, Peng Bian, Gang Lin, Hao Han, and Dong Jiang
Subjects: Geography, geography.geographical_feature_category, business.industry, Environmental resource management, business, Grassland
Published: 2020

19. Glucose/Glutathione Co-triggered Tumor Hypoxia Relief and Chemodynamic Therapy to Enhance Photothermal Therapy in Bladder Cancer

Author: Hao-Han Pang, Wen-Sou Lin, Wen-Hui Weng, Jia-Wei Jhou, Kai-Jie Yu, Wen-Hsuan Chen, and Hung-Wei Yang
Subjects: Photothermal Therapy, Polymers, Biomedical Engineering, Biomaterials, chemistry.chemical_compound, Mice, medicine, Animals, Pyrroles, Hypoxia, Bladder cancer, Tumor hypoxia, business.industry, Biochemistry (medical), Oxides, General Chemistry, Glutathione, Hydrogen Peroxide, Photothermal therapy, medicine.disease, Glucose, chemistry, Manganese Compounds, Urinary Bladder Neoplasms, Cancer research, Tumor Hypoxia, business
Abstract: Photothermal therapy (PTT) is a potential treatment for cancer that makes use of near-infrared (NIR) laser irradiation and is expected to assist traditional anti-cancer drug therapies; however, the therapeutic efficacy of PTT is restricted by thermal resistance due to the overexpression of heat shock proteins and insufficient penetration depth of lasers. Thus, PTT needs to be combined with additional therapeutic methods to obtain the optimal therapeutic efficacy for cancer. Herein, a multifunctional therapeutic platform combining PTT with glucose-triggered chemodynamic therapy (CDT) and glutathione (GSH)-triggered hypoxia relief was developed via GOx@MBSA-PPy-MnO
Published: 2022

20. Association of Perioperative Myocardial Injury with 30-Day and Long-Term Mortality in Older Adult Patients Undergoing Orthopedic Surgery in China

Author: Kaiping Zhao, Wenlan Hu, Hao Han, Youzhou Chen, Qiong Zhao, Jihong Wang, Xingshan Zhao, Mei Zheng, and Ying Zhao
Subjects: Male, medicine.medical_specialty, Pediatrics, China, Myocardial Infarction, Myocardial Ischemia, Electrocardiography, Postoperative Complications, Clinical Research, Cause of Death, medicine, Humans, Orthopedic Procedures, Mortality, Perioperative Period, Aged, Retrospective Studies, Aged, 80 and over, Adult patients, business.industry, Troponin I, General Medicine, Perioperative, Middle Aged, Orthopedics, Orthopedic surgery, Long term mortality, Female, business
Abstract: BACKGROUND Myocardial injury after noncardiac surgery (MINS) is common and associated with postoperative mortality. We assessed MINS occurrence and association with 30-day and long-term mortality in older adult patients undergoing orthopedic surgery in China. MATERIAL AND METHODS This was a retrospective study of consecutive patients who underwent orthopedic surgery between January 1, 2009, and December 31, 2017, at Beijing Jishuitan Hospital. MINS was defined as postoperative troponin I peak elevation above the 99th percentile upper reference limit (0.034 µg/L) within 30 days after surgery. Outcomes were 30-day postoperative mortality and long-term all-cause mortality. RESULTS From 34 901 patients, 5897 (16.9%) had serial troponin I measurements, and 266 (4.5%) had MINS after surgery. Mean patient age was 71.1±9.2 years; 32.9% were male. Among patients with MINS, 180 had myocardial infarction (MI) (3.2%). Patients with MI had higher 30-day and long-term mortality than those without MI (8.9% vs 1.2%; P0.016 and 18.9% vs 3.5%; P=0.001). Male sex (OR 5.87, 95% CI 1.75-19.67; P=0.004), RCRI ≥2 (OR 5.05, 95% CI 1.67-15.31; P=0.004), and MI (OR 9.13, 95% CI 1.13-73.63; P=0.011) were independently associated with 30-day mortality. Age (HR 1.07, 95% CI 1.03-1.11; P=0.001), male sex (HR 2.96, 95% CI 1.51-5.80; P=0.002), RCRI ≥2 (HR 2.01, 95% CI 1.03-3.94; P=0.041), orthopedic trauma (HR 3.40, 95% CI 1.00-11.44; P=0.049), and MI (HR 7.33, 95% CI 2.22-24.20; P=0.001) were predictors of 2-year mortality. CONCLUSIONS Perioperative MI was independently associated with 30-day and long-term mortality after orthopedic surgery, providing a potential indicator of high risk of mortality in patients who could benefit from targeted prevention and intervention.
Published: 2021

21. Development of a horizontal shifting mechanistic-empirical prediction model for concrete block pavement

Author: Lin, Wuguang, Ryu, SungWoo, Hao, Han, and Cho, Yoon-Ho
Subjects: Pavements -- Analysis -- Mechanical properties, Concrete -- Analysis -- Mechanical properties, Business, Construction and materials industries
Abstract: ABSTRACT Few studies have been conducted on horizontal shifting prediction models that consider block shapes and laying patterns for block pavements. To develop a prediction model, a combination of different [...]
Published: 2016
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22. Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

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

23. Parkinson's in the bone

Author: Lin Mei, Hao-Han Guo, Lei Xiong, Jin-Xiu Pan, and Wen Cheng Xiong
Subjects: Parkinson's disease, QH301-705.5, business.industry, Osteoporosis, Arthritis, Review, QD415-436, Disease, medicine.disease, Bioinformatics, Biochemistry, General Biochemistry, Genetics and Molecular Biology, Bone remodeling, Dopamine, medicine, Bone homeostasis, Biology (General), Stem cell, business, TP248.13-248.65, Homeostasis, Biotechnology, medicine.drug
Abstract: Patients with Parkinson’s disease (PD) exhibit systemic deficits, including arthritis and osteoporosis-like symptoms. However, the questions, how the deficits in periphery organs or tissues occur in PD patients, and what are the relationship (s) of the periphery tissue deficits with the brain pathology (e.g., dopamine neuron loss), are at the beginning stage to be investigated. Notice that both PD and osteoporosis are the products of a complex interaction of genetic and environmental risk factors. Genetic mutations in numerous genes have been identified in patients either with recessive or autosomal dominant PD. Most of these PD risk genes are ubiquitously expressed; and many of them are involved in regulation of bone metabolism. Here, we review the functions of the PD risk genes in regulating bone remodeling and homeostasis. The knowledge gaps in our understanding of the bone-to-brain axis in PD development are also outlined.
Published: 2021

24. Extraperitoneal laparoscopic repair of huge inguinoscrotal bladder hernia: A case report and literature review

Author: Shen-Chen Wen and Hao-Han Chang
Subjects: medicine.medical_specialty, Hernia, Urology, Bladder, 030232 urology & nephrology, 03 medical and health sciences, 0302 clinical medicine, Laparoscopic, BLADDER HERNIA, Bilateral hydronephrosis, Medicine, Laparoscopy, Urinary bladder, medicine.diagnostic_test, business.industry, medicine.disease, Scrotal cystocele, Diseases of the genitourinary system. Urology, Surgery, medicine.anatomical_structure, 030220 oncology & carcinogenesis, RC870-923, Trauma and Reconstruction, business, Complication, Repair
Abstract: Inguinal herniation of urinary bladder is a rare condition which might associated with significant complication. Exact pre-operative diagnosis is extremely important. We reported a case of huge inguinoscrotal bladder hernia, associated with bilateral hydronephrosis and kidney injuries, managed by laparoscopy technique.
Published: 2021

25. Machine learning directed interventions associate with decreased hospitalization rates in hemodialysis patients

Author: Len A. Usvyat, Franklin W. Maddux, Dugan W. Maddux, David Sweet, Yuedong Wang, Allison Vinson, Hao Han, Yue Jiao, Sheetal Chaudhuri, Jane Brzozowski, Kathleen Belmonte, John W. Larkin, Jeroen P. Kooman, Peter Kotanko, Brad Bucci, Stephanie Johnstone Steinberg, Interne Geneeskunde, MUMC+: MA Nefrologie (9), and RS: NUTRIM - R3 - Respiratory & Age-related Health
Subjects: Interdisciplinary teams, medicine.medical_treatment, Psychological intervention, Health Informatics, Machine learning, computer.software_genre, Ambulatory Care Facilities, Mean difference, Hospitalization rate, Machine Learning, Renal Dialysis, MANAGEMENT, Medicine, Humans, Dialysis, Retrospective Studies, Nutrition, RISK, business.industry, Personalized care, End stage kidney disease, Behavioral health, medicine.disease, Social worker, DIALYSIS PATIENTS, Hospitalization, Propensity score matching, Hospital admission, Psychosocial factors, Mental health, Hemodialysis, Artificial intelligence, business, computer, Kidney disease
Abstract: Background: An integrated kidney disease company uses machine learning (ML) models that predict the 12 month risk of an outpatient hemodialysis (HD) patient having multiple hospitalizations to assist with directing personalized interdisciplinary interventions in a Dialysis Hospitalization Reduction Program (DHRP). We investigated the impact of risk directed interventions in the DHRP on clinic-wide hospitalization rates. Methods: We compared the hospital admission and day rates per-patient-year (ppy) from all hemodialysis patients in 54 DHRP and 54 control clinics identified by propensity score matching at baseline in 2015 and at the end of the pilot in 2018. We also used paired T test to compare the between group difference of annual hospitalization rate and hospitalization days rates at baseline and end of the pilot. Results: The between group difference in annual hospital admission and day rates was similar at baseline (2015) with a mean difference between DHRP versus control clinics of-0.008 +/- 0.09 ppy and-0.05 +/- 0.96 ppy respectively. The between group difference in hospital admission and day rates became more distinct at the end of follow up (2018) favoring DHRP clinics with the mean difference being-0.155 +/- 0.38 ppy and-0.97 +/- 2.78 ppy respectively. A paired t-test showed the change in the between group difference in hospital admission and day rates from baseline to the end of the follow up was statistically significant (t-value = 2.73, p-value < 0.01) and (t-value = 2.29, p-value = 0.02) respectively. Conclusions: These findings suggest ML model-based risk-directed interdisciplinary team interventions associate with lower hospitalization rates and hospital day rate in HD patients, compared to controls.
Published: 2021

26. Cancer-Secreted Exosomal HSPC111 Promotes Colorectal Cancer Liver Metastasis By Reprogramming Lipid Metabolism in Cancer-Associated Fibroblasts

Author: Jia-Hao Han, Peng Zhang, Jie Fan, Wen-Wei Zhu, Tao-Chen He, Lu Lu, Hu-Liang Jia, Jing Lin, Chong Zhang, Ju-Bo Zhang, Jinhong Chen, Xiang-Yu Wang, and Rui Zhang
Subjects: business.industry, Colorectal cancer, Cancer research, Medicine, Cancer-Associated Fibroblasts, Cancer, Lipid metabolism, business, medicine.disease, Reprogramming, Metastasis
Abstract: Background: Metastasis and metabolic deregulation are two of the major hallmarks of cancer. Recent studies have revealed the critical driving role of metabolic reprogramming of tumor cells to promote colorectal cancer (CRC) metastasis. However, little is known about the metabolic alterations of cancer-associated fibroblasts (CAFs) in the pre-metastatic niche and how these changes facilitate CRC metastasis.Methods: Liquid chromatography-mass spectrometry (LC-MS) and Isobaric Tags for Relative and Absolute Quantitation (i-TRAQ) method were performed to identify the comparative metabolites and proteins expression in CAFs treated with exosomes derived from CRC cells, respectively. Tissue Microarray (TMA) was used to evaluate the level of HSPC111 in patient’s primary CRC tissues with or without liver metastasis. Co-immunoprecipitation (Co-IP), RNA-seq, chromatin immunoprecipitation (ChIP) migration and wound healing assay and immunofluorescence staining were employed to explore the expression regulation mechanism of exosomal HSPC111 in CAFs. Xenograft models were used to determine whether exosomal HSPC111 can remolding pre-metastatic niche of CAFs to promote CRC liver metastasis (CRLM) in vivo.Results: Here, we demonstrate that CRC cell-secreted exosomal HSPC111 induces a lipid metabolism reprogramming process in CAFs. Importantly, our results indicate that CRC patients with liver metastasis had significantly high level of HSPC111 in CRC tissues than CRC patients without liver metastasis. Mechanistically, HSPC111 upregulate the level of acetyl-CoA and histone acetylation by phosphorylating of ATP-citrate lyase (ACLY) in CAFs. This lipid metabolism reprogramming in CAFs facilitates CXCL5 secretion in vitro and pre-metastatic niche formation in the liver to promote CRLM in an exosomal HSPC111-dependent manner in vivo. In addition, conditioned medium (CM) from CAFs induce EMT of CRC cells by down-regulating E-cadherin levels and up-regulating Vimentin and Snail levels, which could be abolished by CXCL5-neutralizing antibody and CXCR2 inhibitor navarixin. Moreover, the HSPC111-ACLY association in CAFs was reinforced by CXCL5-CXCR2 axis, further promoting exosomal HSPC111 secretion from CRC cells to form a feedforward regulatory loop.Conclusion: Our present study reveals a novel insight into the pro-metastatic role of lipid metabolism reprogramming in CAFs and suggests the CXCL5-CXCR2 axis may be a promising target for halting CRLM.
Published: 2021

27. Histological tumor response to neoadjuvant chemotherapy correlates to Immunoscore in colorectal cancer liver metastases patients

Author: Jinhong Chen, Xiaochen Ma, Xiang-Yu Wang, Rui Zhang, Jie Fan, Guo Zhang, Zhenmei Chen, Yitong Li, Chong Zhang, and Jia-Hao Han
Subjects: Male, medicine.medical_specialty, Colorectal cancer, medicine.medical_treatment, Tumor response, Gastroenterology, Internal medicine, Antineoplastic Combined Chemotherapy Protocols, medicine, Overall survival, Humans, Tumor Regression Grade, Chemotherapy, Framingham Risk Score, business.industry, Liver Neoplasms, General Medicine, Middle Aged, Postoperative survival, medicine.disease, Prognosis, Neoadjuvant Therapy, Survival Rate, Oncology, Surgery, Female, business, Colorectal Neoplasms, Clinical risk factor, Biomarkers, Follow-Up Studies
Abstract: BACKGROUND This study investigated the correlation between tumor regression grade (TRG) score and Immunoscore, and prognostic values of TRG score and a risk score in colorectal cancer liver metastases (CRLMs) patients after neoadjuvant chemotherapy. METHODS Patients undergoing neoadjuvant chemotherapy from 2014 to 2019 were selected. TRG score and Immunoscore were evaluated in 200 CRLMs. A risk score combining TRG score, Immunoscore, and clinical risk score (CRS) was defined and divided patients into the low-, medium-, and high-risk groups. Differences in relapse-free survival (RFS) and overall survival (OS) between groups were determined. RESULTS The densities of CD3+ and CD8+ immune cells were higher in TRG1-3 group than in TRG4-5 group, and the ratio of high Immunoscores was higher in TRG1-3 group than in TRG4-5 group (60.0% vs. 15.8%, p
Published: 2021

28. Online Attention Accumulation for Weakly Supervised Semantic Segmentation

Author: Ming-Ming Cheng, Qibin Hou, Yunchao Wei, Peng-Tao Jiang, and Ling-Hao Han
Subjects: business.industry, Computer science, Applied Mathematics, Pattern recognition, Image segmentation, Semantics, Object (computer science), Visualization, Computational Theory and Mathematics, Discriminative model, Artificial Intelligence, Test set, Segmentation, Computer Vision and Pattern Recognition, Artificial intelligence, business, Focus (optics), Software
Abstract: Object attention maps generated by image classifiers are usually used as priors for weakly supervised semantic segmentation. However, attention maps usually locate the most discriminative object parts. The lack of integral object localization maps heavily limits the performance of weakly supervised segmentation approaches. This paper attempts to investigate a novel way to identify entire object regions in a weakly supervised manner. We observe that image classifiers' attention maps at different training phases may focus on different parts of the target objects. Based on this observation, we propose an online attention accumulation (OAA) strategy that utilizes the attention maps at different training phases to obtain more integral object regions. Specifically, we maintain a cumulative attention map for each target category in each training image and utilize it to record the discovered object regions at different training phases. Albeit OAA can effectively mine more object regions for most images, for some training images, the range of the attention movement is not large, limiting the generation of integral object attention regions. To overcome this problem, we propose incorporating an attention drop layer into the online attention accumulation process to enlarge the range of attention movement during training explicitly. Our method (OAA) can be plugged into any classification network and progressively accumulate the discriminative regions into cumulative attention maps as the training process goes. Additionally, we also explore utilizing the final cumulative attention maps to serve as the pixel-level supervision, which can further assist the network in discovering more integral object regions. When applying the resulting attention maps to the weakly supervised semantic segmentation task, our approach improves the existing state-of-the-art methods on the PASCAL VOC 2012 segmentation benchmark, achieving a mIoU score of 67.2 percent on the test set.
Published: 2021

29. ChirpMu: Chirp Based Imperceptible Information Broadcasting with Music

Author: Xiaojun Zhu, Hao Han, and Yu Wang
Subjects: Computer science, business.industry, Speech recognition, Low bit, Quality of service, Word error rate, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Broadcasting, Symbol (chemistry), Noise, Chirp, Bit error rate, ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, business
Abstract: This paper presents ChirpMu, a system that encodes information into chirp symbols and embeds the symbols with music. Users enjoy music without realizing the existence of chirp sounds, while their smartphones can decode the information. ChirpMu can be used to broadcast information such as Wi-Fi secrets or coupons in shopping malls. It features novel chirp symbol design that can combat sound attenuation and environment noise. In addition, ChirpMu properly adjusts the portion of chirp symbols with music, so that the chirp symbols cannot be heard by users but can be decoded by smartphones with low error rate. Various real-world experiments show that ChirpMu can achieve low bit error rate.
Published: 2021

30. Preoperative Prediction of Lymphovascular Invasion of Colorectal Cancer by Artificial Neural Network

Author: Hao Han, Shuyu Wang, Yingjun Quan, Zhou Yang, De-jun Wu, and Zhi-jun Min
Subjects: Oncology, medicine.medical_specialty, Text mining, Artificial neural network, business.industry, Lymphovascular invasion, Colorectal cancer, Internal medicine, medicine, business, medicine.disease
Abstract: Background: Lymphovascular invasion (LVI) is considered to be important for metastasis of colorectal cancer (CRC). However, there is still no effective method to predict LVI before operation. Our research aimed to construct an artificial neural network (ANN) for the pre-operative prediction of LVI.Methods: We obtained blood indexes and conditions of LVI (confirmed by pathological examination) of 288 cases of CRC patients from a tertiary hospital in China. ANN and logistic regression model were constructed based on randomly chosen 185 cases CRC patients (training group). The remaining 103 cases of CRC patients received tests of ANN and logistic model (validation group). Receiver operating characteristics curve (ROC) and decision curve analysis (DCA) was performed to assess the accuracy of constructed model respectively.Results: In the training group, the area under curve (AUC) of ANN was higher than that of logistic model (0.832 vs 0.692). The ANN correctly predicted 92% cases of LVI, whereas logistic model only predicted 56% cases. Similar results were also tested in the validation model.Conclusions: Our constructed ANN showed higher accuracy compared with a conventional linear model. The ANN based on blood indexes may provide value for pre-operative prediction of LVI.
Published: 2021

31. High performance InGaAs/InP avalanche photodiode integrated with metal-insulator-metal microcavity

Author: Wantian Gao, Yicheng Zhu, Zilu Guo, Ding Wang, Wenjuan Wang, Hao Han, Huidan Qu, and Zhifeng Li
Subjects: Photocurrent, Materials science, APDS, business.industry, Bandwidth (signal processing), 02 engineering and technology, Metal-insulator-metal, Photoelectric effect, 021001 nanoscience & nanotechnology, Avalanche photodiode, 01 natural sciences, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, law.invention, 010309 optics, law, 0103 physical sciences, Optoelectronics, Quantum efficiency, Electrical and Electronic Engineering, 0210 nano-technology, business, Dark current
Abstract: Reducing the dark current of InGaAs/InP avalanche photodiodes (APDs) is an important way to improve its performance. Decreasing the active size can reduce the dark current but sacrifice the quantum efficiency. In this paper, the metal–insulator-metal (MIM) microcavity is integrated with an APD, which can converge light from tens of micrometers to several micrometers, so as to compensate for the loss of detection efficiency caused by the reduction of the size of the APD. Through photoelectric joint simulation, the optical response of the device can be obtained, and the coupling effect between the MIM structure and the APD can be analyzed directly. The simulation results show that the photocurrent to the dark current ratio of the APD integrated with the MIM microcavity is twice of the MIM free traditional APD, and the 3 dB bandwidth reaches 5.8 GHz. When the MIM microcavity is applied to an APD array, the optical crosstalk between pixels is found to be negligible.
Published: 2021

32. A Method of Multi-Stage Reservoir Water Level Forecasting Systems: A Case Study of Techi Hydropower in Taiwan

Author: Hao Han Tsao, Yih-Guang Leu, Li Fen Chou, and Chao Yang Tsao
Subjects: Technology, Control and Optimization, 010504 meteorology & atmospheric sciences, 020209 energy, Energy Engineering and Power Technology, Climate change, 02 engineering and technology, Inflow, 01 natural sciences, reservoir water level forecasting, Extreme weather, Hydroelectricity, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Engineering (miscellaneous), Hydropower, 0105 earth and related environmental sciences, Renewable Energy, Sustainability and the Environment, business.industry, Water level, Flood control, hydropower, multi-stage architecture, Environmental science, Water resource management, business, Energy (miscellaneous), Efficient energy use
Abstract: Reservoirs in Taiwan often provide hydroelectric power, irrigation water, municipal water, and flood control for the whole year. Taiwan has the climatic characteristics of concentrated rainy seasons, instantaneous heavy rains due to typhoons and rainy seasons. In addition, steep rivers in mountainous areas flow fast and furiously. Under such circumstances, reservoirs have to face sudden heavy rainfall and surges in water levels within a short period of time, which often causes the water level to continue to rise to the full level even though hydroelectric units are operating at full capacity, and as reservoirs can only drain the flood water, this results in the waste of hydropower resources. In recent years, the impact of climate change has caused extreme weather events to occur more frequently, increasing the need for flood control, and the reservoir operation has faced severe challenges in order to fulfil its multipurpose requirements. Therefore, in order to avoid the waste of hydropower resources and improve the effectiveness of the reservoir operation, this paper proposes a real-time 48-h ahead water level forecasting system, based on fuzzy neural networks with multi-stage architecture. The proposed multi-stage architecture provides reservoir inflow estimation, 48-h ahead reservoir inflow forecasting, and 48-h ahead water level forecasting. The proposed method has been implemented at the Techi hydropower plant in Taiwan. Experimental results show that the proposed method can effectively increase energy efficiency and allow the reservoir water resources to be fully utilized. In addition, the proposed method can improve the effectiveness of the hydropower plant, especially when rain is heavy.
Published: 2021

33. A method for determining the refractive index of a spheroid cell based on orthogonal phase microscopy

Author: Hao Han, Guangwei Peng, Qibao Shen, Yawei Wang, Lulu Ding, Yuanyuan Xu, and Yuqi Zhang
Subjects: Materials science, business.industry, Phase (waves), Spheroid, 02 engineering and technology, Decoupling (cosmology), 021001 nanoscience & nanotechnology, 01 natural sciences, Atomic and Molecular Physics, and Optics, Quantitative Biology::Cell Behavior, Electronic, Optical and Magnetic Materials, 010309 optics, Optics, medicine.anatomical_structure, Distribution (mathematics), Feature (computer vision), Position (vector), 0103 physical sciences, medicine, Electrical and Electronic Engineering, Physical and Theoretical Chemistry, 0210 nano-technology, business, Refractive index, Nucleus
Abstract: Refractive index imaging of a cell that reflects its morphological and structural feature has attracted increasing attention because of its important applications in life science, bioengineering and clinical applications. Based on the analysis of two orthogonal phase micrographs, we present a decoupling method for solving the refraction index distribution. In this method, a cell with one nuclei is take as a sample. At first, the radii of the nucleus and cytoplasm are determined by analyzing the gradient distributions of the associated phases. Then, the refractive index of each medium of the cell is decoupled from the measured phases. Lastly, the whole refractive index of the cell can be obtained according to the spatial position of each medium. Simulation and experimental results of a spheroid lymphocyte demonstrate the effectiveness and accuracy of this method. This method provides a new technical idea for 3D sub-structure imaging of the spheroid cells.
Published: 2019

34. Cyclic performance of circular concrete-filled steel tubular members with initial gap between tube and concrete core

Author: Fei-Yu Liao, Wei-Jie Zhang, and Hao Han
Subjects: Materials science, business.industry, 0211 other engineering and technologies, 020101 civil engineering, 02 engineering and technology, Building and Construction, Structural engineering, 0201 civil engineering, Core (optical fiber), 021105 building & construction, Ultimate tensile strength, Steel tube, Tube (container), Ductility, business, Civil and Structural Engineering
Abstract: It is common that initial gaps exist between the steel tube and the core concrete in concrete-filled steel tubular structural members, which might affect the performance of the structure. This article aims to study the effects of the gaps on the cyclic behaviour of circular concrete-filled steel tubular members. A total of 24 concrete-filled steel tubular specimens were tested under constant axial load and cyclically lateral loads, where the main testing parameters included the types of gap, the gap ratio, the axial load level and the steel ratio. The failure mode, lateral load versus lateral displacement hysteretic curve and load versus displacement envelope curve of concrete-filled steel tubular specimens with pre-designed gaps were experimentally investigated and compared with those of the reference ones without any gap. The effects of gaps on the ultimate strength, ductility and dissipated energy of the concrete-filled steel tubular members were quantitatively evaluated according to the test results. The influence of gaps on circular concrete-filled steel tubes under different loading conditions, such as axial compressive loading, pure bending, eccentrically compressive loading and cyclic lateral loading, was also compared and discussed.
Published: 2019

35. Design and methodology of the impact of HemoDiaFIlTration on physical activity and self-reported outcomes: a randomized controlled trial (HDFIT trial) in Brazil

Author: Ana Beatriz Lesqueves Barra, Hao Han, Thyago Proença de Moraes, Roberto Pecoits-Filho, Sinaia Canhada, Ludimila Guedim de Campos, Américo Lourenço Cuvello Neto, John W. Larkin, Priscila Bezerra Gonçalves, Carlos Eduardo Poli-de-Figueiredo, Maria Eugênia Fernandes Canziani, Juliane Woehl, and Jochen G. Raimann
Subjects: Male, medicine.medical_specialty, Randomization, medicine.medical_treatment, 030232 urology & nephrology, Hemodiafiltration, 030204 cardiovascular system & hematology, lcsh:RC870-923, law.invention, End stage renal disease, 03 medical and health sciences, Study Protocol, 0302 clinical medicine, Randomized controlled trial, Quality of life, law, Internal medicine, medicine, Humans, Renal replacement therapy, Prospective Studies, End stage renal disease (ESRD), Exercise, Dialysis, Hemodialysis (HD), business.industry, Physical activity, lcsh:Diseases of the genitourinary system. Urology, Accelerometer, Dialysis recovery, Treatment Outcome, Nephrology, Steps per day, Kidney Failure, Chronic, Observational study, Female, Hemodialysis, Self Report, Hemodiafiltration (HDF), business, Activities of daily living (ADL), Brazil, Follow-Up Studies
Abstract: Background End stage renal disease (ESRD) patients require a renal replacement therapy (RRT) to filter accumulated toxins and remove excess water, which are associated with impaired physical function. Hemodialysis (HD) removes middle-molecular weight (MMW) toxins less efficiently compared to hemodiafiltration (HDF); we hypothesized HDF may improve physical function. We detailed the design and methodology of the HDFIT protocol that is testing whether changing from HD to HDF effects physical activity levels and various outcomes. Methods HDFIT is a prospective, multi-center, unblinded, randomized control trial (RCT) investigating the impact of dialysis modality (HDF verses HD) on objectively measured physical activity levels, self-reported quality of life, and clinical/non-clinical outcomes. Clinically stable patients with HD vintage of 3 to 24 months without any severe limitation ambulation were recruited from sites throughout southern Brazil. Eligible patients were randomized in a 1:1 ratio to either: 1) be treated with high volume online HDF for 6 months, or 2) continue being treated with high-flux HD. This study includes run-in and randomization visits (baseline), 3- and 6-month study visits during the interventional period, and a 12-month observational follow up. The primary outcome is the difference in the change in steps per 24 h on dialysis days from baseline to the 6-month follow up in patients treated with HDF versus HD. Physical activity is being measured over one week at study visits with the ActiGraph (www.actigraphcorp.com). For assessment of peridialytic differences during the dialysis recovery period, we will analyze granular physical activity levels based on the initiation time of HD on dialysis days, or concurrent times on non-dialysis days and the long interdialytic day. Discussion In this manuscript, we provide detailed information about the HDFIT study design and methodology. This trial will provide novel insights into peridialytic profiles of physical activity and various self-reported, clinical and laboratory outcomes in ESRD patients treated by high volume online HDF versus high-flux HD. Ultimately, this investigation will elucidate whether HDF is associated with patients having better vitality and quality of life, and less negative outcomes as compared to HD. Trial registration Registered on ClinicalTrials.gov on 20 April 2016 (NCT02787161). Electronic supplementary material The online version of this article (10.1186/s12882-019-1247-8) contains supplementary material, which is available to authorized users.
Published: 2019

36. A visual/inertial integrated landing guidance method for UAV landing on the ship

Author: Wei Wang, Yue Meng, Hao Han, and Jingxuan Ban
Subjects: 0209 industrial biotechnology, Inertial frame of reference, Computer science, Machine vision, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Aerospace Engineering, Touchdown, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 02 engineering and technology, 01 natural sciences, 010305 fluids & plasmas, Extended Kalman filter, 020901 industrial engineering & automation, Inertial measurement unit, Control system, 0103 physical sciences, Runway, Computer vision, Artificial intelligence, Guidance system, business
Abstract: This paper presents a visual/inertial integrated guidance method for UAV shipboard landing. The airborne vision system is utilized to track infrared cooperated targets on the ship and output their center coordinates in the image. Meanwhile, the attitude information of the UAV is obtained from airborne Inertial Measurement Unit (IMU). Extended Kalman Filter (EKF) is chosen to fuse the visual and inertial information. The UAV's position, attitude, and velocity relative to the runway and the ship motion information are estimated. The ship motion information is utilized to predict the position of the intended landing point at the touchdown moment through the Autoregressive algorithm. And the motion information of the UAV is used to calculate the deviation from the intended landing path. All the information is delivered to the flight control system to calculate control command. Simulation shows that the visual/inertial integrated landing guidance system achieves satisfied estimation and prediction results.
Published: 2019

37. Correlation Studies and Literature Review of Medullary Artery Occlusion After Intracranial Vertebral Artery Stenting

Author: Lei Feng, Lijian Zheng, Hao Han, Jun Liu, Weimei Chen, and Wenpeng Lu
Subjects: Adult, Male, medicine.medical_specialty, medicine.medical_treatment, Vertebral artery, Arterial Occlusive Diseases, Medullary Artery, 03 medical and health sciences, 0302 clinical medicine, Restenosis, medicine.artery, Occlusion, Vertebrobasilar Insufficiency, medicine, Humans, Artery occlusion, Aged, Retrospective Studies, Lateral medullary syndrome, business.industry, Stent, Middle Aged, medicine.disease, Surgery, Stenosis, 030220 oncology & carcinogenesis, Female, Stents, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract: Background Stenosis of the target intracranial vertebral artery is one of the major causes of posterior circulation ischemic stroke. The objective of this paper is to explore methods for reducing the occurrence of medullary artery occlusion after intracranial vertebral artery stenting. Case Description The current research presents a retrospective analysis of 48 patients who received Gateway-Wingspan stent angioplasty to treat severe stenosis of the intracranial vertebral artery, evaluates the results of stenosis remission and perfusion improvement after stent angioplasty, and explores the causes of postoperative medullary artery occlusion. A total of 49 Wingspan stents were implanted in the 48 patients, with a surgical success rate of 100%. After stent implantation, the patients' rates of intracranial vertebral artery stenosis dropped from 75.9% ± 6.3% to 28.4% ± 5.1%. Transcranial Doppler or cranial computed tomography angiography 3 months after surgery showed that none of the patients suffered from in-stent restenosis. Within 24 hours after surgery, medullary perforating artery occlusion occurred in 2 patients, probably because atherosclerotic plaque in the stenotic area became less stable and displaced under the mechanical action of postoperative saccule and stent. As a result, the medullary artery was blocked. After drug and rehabilitation therapies, the patients' symptoms were alleviated. Conclusions Perforating artery occlusion after intracranial vertebral artery stenting can be prevented by strict assessment and preparation before surgery, correct choices of saccule and stent during operation, and other measures. However, large sample data are needed for verification.
Published: 2019

38. Anthocyanin-rich extract from black rice (Oryza sativa L. Japonica) ameliorates diabetic osteoporosis in rats

Author: Hao Han, Shanshan Qi, Xinsheng Li, Zhijian Zhang, Ching Yuan Hu, Hai Jiang, Jia He, and Hongxing Zheng
Subjects: Blood Glucose, musculoskeletal diseases, 0301 basic medicine, medicine.medical_specialty, Osteoporosis, Osteoclasts, Core Binding Factor Alpha 1 Subunit, Bone remodeling, Anthocyanins, Diabetes Complications, Rats, Sprague-Dawley, 03 medical and health sciences, Osteoprotegerin, Bone Density, Osteoclast, Internal medicine, Diabetes mellitus, medicine, Animals, Humans, Bone mineral, 030109 nutrition & dietetics, biology, Plant Extracts, business.industry, RANK Ligand, Oryza, General Medicine, medicine.disease, Rats, 030104 developmental biology, medicine.anatomical_structure, Endocrinology, RANKL, biology.protein, Female, Bone marrow, business, Food Science
Abstract: Diabetic osteoporosis (DOP) is a systemic endocrine-metabolic osteopathy which has the characteristics of bone mineral density (BMD) reduction and bone microstructural destruction. Although anthocyanin-rich extract from black rice (AEBR) was reported to have a beneficial effect on diabetic rats, no studies have been performed on whether black rice anthocyanins are beneficial for diabetic osteoporosis. Therefore, in this study, a streptozotocin-induced diabetic rat model was established to investigate the protective effect of AEBR on diabetes-induced osteoporosis and its possible mechanism. AEBR at three doses (0.5, 1.0, and 2.0 g kg-1 d-1) were administered by oral gavage to diabetic rats for 8 weeks. The blood glucose, BMD, bone histomorphometry parameters, serum bone turnover biomarkers, bone marrow adipocyte numbers, as well as osteoprotegerin (OPG), runt-related transcription factor 2 (RUNX 2), and receptor activator of nuclear factor-κ B ligand (RANKL) protein expression in bone and serum were detected. The results indicated that AEBR dose-dependently decreased the blood glucose, increased the BMD, and decreased the serum bone turnover markers. The bone microstructure and osteoclast numbers in bone tissues returned to normal in the high AEBR dosage group; at the same time, the AEBR dose-dependently suppressed bone marrow adipogenesis. The RUNX 2 as well as the OPG/RANKL ratio in diabetic rats' bone tissues increased significantly in the AEBR treatment group. Our results indicate that AEBR administration can ameliorate bone loss caused by diabetes; this is mainly attributed to its inhibition of bone turnover, suppression of bone marrow adipogenesis, and up-regulation of RUNX 2 and the OPG/RANKL expression ratio.
Published: 2019

39. Kinetics analysis of indocyanine green based on a novel mouse model to distinguish between tumor and inflammation

Author: Jianquan Wang, Yiqing Wang, Diya Xie, Hao Han, Ziyang Wang, Yuxin Wang, Zhiyong Wang, Qian Lu, Jiahong Shi, and Huiming Cai
Subjects: Pathology, medicine.medical_specialty, genetic structures, Angiogenesis, General Chemical Engineering, Kinetics, Tumor resection, Inflammation, 02 engineering and technology, 01 natural sciences, Analytical Chemistry, chemistry.chemical_compound, medicine, business.industry, 010401 analytical chemistry, General Engineering, 021001 nanoscience & nanotechnology, eye diseases, 0104 chemical sciences, SUBCUTANEOUS TUMOR, Fluorescence intensity, chemistry, Implant, medicine.symptom, 0210 nano-technology, business, Indocyanine green
Abstract: Near-infrared (NIR) imaging with indocyanine green (ICG) has been proven to be feasible for the visualization of tumor and enables real-time guidance during tumor resection. However, ICG is a non-receptor-specific NIR dye that also accumulates in other hyperpermeable tissues such as inflammatory tissues. In this study, we found visible differences between tumor and inflammation in 6 oral cancer patients by obtaining NIR images after 24 hours of 0.75 mg kg−1 ICG injection. In order to obtain the optimal ICG dose and observation time for better discrimination effect, we constructed the sponge implant model of angiogenesis and subcutaneous tumor model in the same C3H mice for further study. This mouse model was the first to prove the feasibility of ICG-NIR imaging and the difference between tumor and inflammation was successfully acquired in the model. Studies on this model avoid the interference of individual differences between tumor and inflammation and revealed the causal relationship between tissue permeability and fluorescence. The difference between the ICG kinetics of the tumor and inflammatory tissues was studied based on this mouse model. Results showed that the tumor-to-inflammation ratio (TIR) of fluorescence intensity was dose independent and increased with time, indicating that more ICG leakage and less clearance in tumors may lead to brighter NIR imaging than in inflammations. Thus, we recommend a high ICG injection dose and long observation time in order to better differentiate between tumor and inflammation by NIR imaging.
Published: 2019

40. Congenital collagenopathies increased the risk of inguinal hernia developing and repair: analysis from a nationwide population-based cohort study

Author: Ching Chia Li, Jian Han Chen, Yung Shun Juan, Hsiang Ying Lee, and Hao Han Chang
Subjects: Adult, Male, Pediatrics, medicine.medical_specialty, Adolescent, Databases, Factual, Science, Taiwan, Hernia, Inguinal, Young Adult, Population based cohort, Risk Factors, medicine, Humans, Child, Aged, Retrospective Studies, Aged, 80 and over, Multidisciplinary, business.industry, Collagen Diseases, Middle Aged, medicine.disease, Inguinal hernia, Disease Progression, Medicine, business, Follow-Up Studies
Abstract: Introduction: The aim of this study is to explore whether male patients diagnosed of congenital collagen diseases had higher risk of occurrence inguinal hernia than patients who do not had these diseases.Method: Data were collected from National Health Insurance Research Database (NHIRD) of Taiwan retrospectively. 1801 male patients who diagnosed of congenital collagen disease by using ICD-9 CM diagnostic code was the study cohort, and in the other hand, after propensity score matching, 6493 man without congenital collagen disease were enrolled as control group. The primary endpoint was receiving inguinal hernia repair during observation period.Result: During median 133.9 months follow-up period, the risk of inguinal hernia in collagen cohort was significantly higher than the control group (HR = 2.237, 95% CI:1.646–3.291, p Conclusion: Asian men, regardless of age, with congenital collagen disease are at the risk of developing inguinal hernia. Detailed physical examination and well patient education should be performed while facing these patients.
Published: 2021

41. 3D reconstruction of the specular surface using an iterative stereoscopic deflectometry method

Author: Feifei Gu, Shiqian Wu, Hao Han, Zhan Song, and Juan Zhao
Subjects: Pixel, business.industry, Computer science, 3D reconstruction, Phase (waves), Physics::Optics, Stereoscopy, 02 engineering and technology, Iterative reconstruction, 021001 nanoscience & nanotechnology, 01 natural sciences, Atomic and Molecular Physics, and Optics, law.invention, 010309 optics, Optics, law, Robustness (computer science), 0103 physical sciences, Computer vision, Point (geometry), Artificial intelligence, Specular reflection, 0210 nano-technology, business
Abstract: Phase measuring deflectometry (PMD) is an effective technique for three-dimensional measurement of specular surfaces. However, the ambiguity of monoscopic PMD and the time-consuming searching process of stereoscopic PMD are challenges for specular surface reconstruction. To solve it, we propose an iterative reconstruction algorithm for the stereoscopic phase measuring deflectometry system free of the time-consuming searching process for each pixel. An arbitrary seed point on the specular surface is accurately obtained via a coarse-to-fine optimization means without any other expensive and complicate auxiliaries. Then, a plane with the height of seed point is set as the initial surface form for the iteration, in which the pinhole model is used to find the linear relation to update the surface form. The converging height is the output as the final result. Simulations and experiments verify the feasibility and efficiency of our proposed method based on the stereoscopic phase measuring deflectometry system. The accuracy and robustness are comprehensively evaluated as well.
Published: 2021

42. Point-of-care N-terminal pro B-type natriuretic peptide assay to screen apparently healthy cats for cardiac disease in general practice

Author: Ta-Li Lu, Etienne Côté, Hao-Han Wu, Yu-Wen Kuo, Wen-Yen Wang, and Yong-Wei Hung
Subjects: medicine.medical_specialty, Heart disease, Heart Diseases, 040301 veterinary sciences, medicine.drug_class, Veterinary medicine, Point-of-Care Systems, Cardiology, Disease, Standard Article, heart disease, 030204 cardiovascular system & hematology, Cat Diseases, NT‐proBNP, 0403 veterinary science, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, SF600-1100, Natriuretic Peptide, Brain, medicine, Natriuretic peptide, Animals, cardiovascular diseases, Prospective Studies, feline, Point of care, Heart Failure, general practice, CATS, General Veterinary, business.industry, 04 agricultural and veterinary sciences, medicine.disease, Peptide Fragments, Standard Articles, Cross-Sectional Studies, General practice, Heart murmur, Cats, Biomarker (medicine), biomarker, SMALL ANIMAL, medicine.symptom, business, Biomarkers
Abstract: Background Point-of-care (POC) N-terminal pro B-type natriuretic peptide (NT-proBNP) ELISA test has been evaluated for screening cats for cardiac disease in the referral veterinary setting but less is known about its use in general practice (GP). Objectives To evaluate the diagnostic utility of a POC NT-proBNP ELISA in cats seen in GPs. Animals Two hundred and seventeen apparently healthy cats from 21 GPs. Methods This was a prospective, cross-sectional study. Cardiac auscultation and POC NT-proBNP ELISA were done by veterinarians at their GPs. After enrollment at GPs, cats were sent to a cardiology referral hospital for cardiac auscultation and echocardiographic diagnosis. Results were interpreted based on whether cats had normal or abnormal echocardiographic findings. Results Point-of-care NT-proBNP ELISA results differentiated cats in the abnormal group from those in the normal group with a sensitivity of 43%, specificity of 96%. In cats with a heart murmur at GPs, POC NT-proBNP ELISA results differentiated cats in the abnormal group from those in the normal group with a sensitivity of 71% and a specificity of 92%. Conclusion and clinical importance In apparently healthy cats in GPs, positive POC NT-proBNP results are associated with heart disease, warranting an echocardiogram, but negative results do not reliably exclude heart disease. These results suggest POC NT-proBNP is not an effective screening test for apparently healthy cats in GPs, although its performance is improved if it is used only in cats that have a heart murmur.
Published: 2021

43. Community Preferences for Urban Systems Transformation in Australia

Author: Jiaqian Ling, Robert Costanza, Sarah Crowe, Eleanor Robson, Milo Costanza-van den Belt, Robert Webb, Hao Han, and Tayanah O'Donnell
Subjects: Civil society, Geography, Planning and Development, 0211 other engineering and technologies, TJ807-830, Survey result, Sample (statistics), 02 engineering and technology, community engagement, 010501 environmental sciences, Management, Monitoring, Policy and Law, Space (commercial competition), TD194-195, 01 natural sciences, Renewable energy sources, survey, GE1-350, Sociology, 0105 earth and related environmental sciences, Shared vision, Community engagement, Environmental effects of industries and plants, Renewable Energy, Sustainability and the Environment, business.industry, 021107 urban & regional planning, Public relations, Urban structure, Environmental sciences, urban governance, urban visioning, Urban system, business
Abstract: Civil society engagement is important for enabling urban systems transformations that meet community needs. The development of Future Earth Australia’s Sustainable Cities and Regions: A 10-Year Strategy for Urban Systems was underpinned by cross-sectoral workshops in 7 Australian urban areas and interviews with key stakeholders to create a shared vision of both current and desired future urban structure and policy. We then created an online survey to gauge broader community feedback on the vision which emerged from these workshops and interviews, to compare their outcomes with the views of community members who could be directly impacted by urban decision-making. The survey consisted of 35 questions, which were shaped by the issues emerging from the workshops and interviews. The sample was self-selected, and the 641 respondents represented a cross-section of individuals interested in sustainable cities. Our survey results supported and expanded on the major conclusions of FEA’s National workshop and interview processes, including the need to develop transparent and responsive decision-making processes, limit waste and pollution and develop effective housing and transport alternatives with mixed-use neighborhoods and adequate green space.
Published: 2021

44. An Exploratory Optimal Framework of Low Impact Development Measures Spatial Arrangement based on Source Tracking for Urban Flood Mitigation

Author: Chao Ma, Hongshi Xu, Kai Zhao, Wenchao Qi, Zifan Chen, and Hao Han
Subjects: business.industry, Environmental resource management, Environmental science, Flood mitigation, Low-impact development, business, Source tracking
Abstract: Urban areas are vulnerable to flooding as a result of climate change and population growth and thus rainstorm-induced flood losses are becoming increasingly severe. Low impact development (LID) measures are a storm management technique designed for controlling runoff in urban areas, which is critical for solving urban flood hazard. Therefore, this study developed an exploratory simulation-optimization framework for the spatial arrangement of LID measures. The proposed framework begins by applying a numerical model to simulate hydrological and hydrodynamic processes during a storm event, and the urban flood model coupled with the source tracking method was then used to identify the flood source areas. Next, based on source tracking data, the LID investment in each subcatchment was determined using the inundation volume contribution ratio of the flood source area (where most of the investment is required) to the flood hazard area (where most of the flooding occurs). Finally, the resiliency and sustainability of different LID scenarios were evaluated using several different storm events in order to provide suggestions for flooding predictions and the decision-making process. The results of this study emphasized the importance of flood source control. Furthermore, to quantitatively evaluate the impact of inundation volume transport between subcatchments on the effectiveness of LID measures, a regional relevance index (RI) was proposed to analyze the spatial connectivity between different regions. The simulation-optimization framework was applied to Haikou City, China, wherein the results indicated that LID measures in a spatial arrangement based on the source tracking method are a robust and resilient solution to flood mitigation. This study demonstrates the novelty of combining the source tracking method and highlights the spatial connectivity between flood source areas and flood hazard areas. Further, the framework acts as a strategic tool for the effective spatial arrangement design of LID measures.
Published: 2021

45. Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure

Author: John W. Larkin, Peter Kotanko, Franklin W. Maddux, Peter Waguespack, Brian Shulman, Caitlin Monaghan, Len A. Usvyat, Zuwen Kuang, Sheetal Chaudhuri, Srikanth Bellamkonda, Hao Han, Jane Brzozowski, Jeffrey Hymes, Mike Black, Jeroen P. Kooman, Interne Geneeskunde, MUMC+: MA Nefrologie (9), and RS: NUTRIM - R3 - Respiratory & Age-related Health
Subjects: Male, medicine.medical_specialty, HEMODIALYSIS, Vomiting, medicine.medical_treatment, MODELS, Cloud computing, Blood volume, Real-Time Prediction, Proof of Concept Study, Machine Learning, Renal Dialysis, Internal medicine, Medicine, Humans, End Stage Kidney Disease, Dialysis, Point of care, Muscle Cramp, Blood Volume, Receiver operating characteristic, business.industry, Body Fluid Compartments, Cloud Computing, Middle Aged, Prognosis, Diseases of the genitourinary system. Urology, Early Diagnosis, Technical Advance, Nephrology, Emergency medicine, ONSET, Kidney Failure, Chronic, Female, Hemodialysis, RC870-923, Hypotension, business, Predictive modelling, Test data
Abstract: Background Inadequate refilling from extravascular compartments during hemodialysis can lead to intradialytic symptoms, such as hypotension, nausea, vomiting, and cramping/myalgia. Relative blood volume (RBV) plays an important role in adapting the ultrafiltration rate which in turn has a positive effect on intradialytic symptoms. It has been clinically challenging to identify changes RBV in real time to proactively intervene and reduce potential negative consequences of volume depletion. Leveraging advanced technologies to process large volumes of dialysis and machine data in real time and developing prediction models using machine learning (ML) is critical in identifying these signals. Method We conducted a proof-of-concept analysis to retrospectively assess near real-time dialysis treatment data from in-center patients in six clinics using Optical Sensing Device (OSD), during December 2018 to August 2019. The goal of this analysis was to use real-time OSD data to predict if a patient’s relative blood volume (RBV) decreases at a rate of at least − 6.5 % per hour within the next 15 min during a dialysis treatment, based on 10-second windows of data in the previous 15 min. A dashboard application was constructed to demonstrate how reporting structures may be developed to alert clinicians in real time of at-risk cases. Data was derived from three sources: (1) OSDs, (2) hemodialysis machines, and (3) patient electronic health records. Results Treatment data from 616 in-center dialysis patients in the six clinics was curated into a big data store and fed into a Machine Learning (ML) model developed and deployed within the cloud. The threshold for classifying observations as positive or negative was set at 0.08. Precision for the model at this threshold was 0.33 and recall was 0.94. The area under the receiver operating curve (AUROC) for the ML model was 0.89 using test data. Conclusions The findings from our proof-of concept analysis demonstrate the design of a cloud-based framework that can be used for making real-time predictions of events during dialysis treatments. Making real-time predictions has the potential to assist clinicians at the point of care during hemodialysis.
Published: 2021

46. Conditional Survival Probability of Non-Small Cell Lung Cancers, Based on The SEER Database

Author: Hong-Ling Lu, Hao Han, Shi-Xu Fang, Kui Zhai, Xixian Ke, and Gang Xu
Subjects: Oncology, medicine.medical_specialty, Text mining, Lung, medicine.anatomical_structure, Conditional survival, business.industry, Internal medicine, Seer database, medicine, Non small cell, Biology, business
Abstract: Background: This study aims to explore the dynamic survival probability of lung cancers after resection based on those had survived several years, provide more precise monitoring and treatment information for non-metastatic non-small cell lung cancer (NSCLC) patients.Materials and Methods: In the Surveillance, Epidemiology, and End Results (SEER) database (2000–2016), 95531 eligible non-metastatic NSCLC patients after surgery were enrolled, TNM stage were reclassified, the methods of condition survival probability (CS) and actuarial overall survival (OS) were used to explore the relationship between clinicopathological characteristics and cancer prognosis.Results: The 1-, 3-, 5- and 10-year OS of included patients were 83.6% (95%CI: 83%-84%), 62.9% (95%CI: 62.6%-63.1%), 50.8% (95%CI: 50.6%-51.0%) and 33.1% (95%CI: 32.7%-33.6%) respectively. For those already survived 1, 2, 3, 4 and 5 years after diagnosis, the probability for surviving an additional 3 years were 67%, 71%, 73%, 75% and 77% respectively. Enrolled population were reclassified into 9 cohorts including T1aN0, T1bN0, T1cN0, T2aN0, T2bN0, T3N0, T4N0, T1-4N1, T1-4N2 according to 8th TNM staging. According to the conditional survival probability, patients with unfavorable tumor stage diagnosed initially at surgery had the significant improvement in CS over time. Analysis based on other clinical features demonstrated similar conclusion that the poorer the initial diagnosis, the more significant the benefit of conditional survival over time.Conclusion: The worse the patient's prognosis, the more significant the benefit of time-dependent conditional survival probability, long-lived cancer patients may have a better cancer prognosis.
Published: 2021

47. Research on the Construction of Cold Chain Logistics Intelligent System Based on 5G Ubiquitous Internet of Things

Author: Qi Hao Han
Subjects: Article Subject, business.industry, Emerging technologies, Supply chain, Control (management), ComputerApplications_COMPUTERSINOTHERSYSTEMS, Product (business), Engineering management, Control and Systems Engineering, Global Positioning System, Cost sharing, T1-995, Business, Electrical and Electronic Engineering, Cold chain, Instrumentation, 5G, Technology (General)
Abstract: In the research on the construction of cold chain logistics intelligent system based on 5G ubiquitous Internet of Things as an emerging technology, the Internet of Things is penetrating into the logistics field with its technical advantages and changing the original industry form. According to the development status of cold chain logistics, this paper constructs a set of cold chain logistics intelligent system by using RFID technology, sensing equipment, GPS system, fuzzy PID hierarchical control, and other Internet of Things technologies and analyzes the impact of the cost sharing ratio of Internet of Things on the income of wholesalers, retailers, and supply chain. The example analysis shows that when retailers share all the adoption costs of the Internet of Things, the benefit of the whole fresh agricultural product cold chain logistics is the largest. This study provides a scientific basis for logistics decision-making for wholesalers and retailers and has important application value for improving the logistics efficiency of the whole fresh agricultural product cold chain.
Published: 2021

48. Low-Light Image and Video Enhancement Using Deep Learning: A Survey

Author: Chunle Guo, Jinwei Gu, Jun Jiang, Ming-Ming Cheng, Chongyi Li, Chen Change Loy, and Ling-Hao Han
Subjects: FOS: Computer and information sciences, Generalization, business.industry, Computer science, Applied Mathematics, Deep learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Ranging, Machine learning, computer.software_genre, Field (computer science), Computational Theory and Mathematics, Artificial Intelligence, Taxonomy (general), Computer Vision and Pattern Recognition, Artificial intelligence, User interface, business, Face detection, computer, Software, Interpretability
Abstract: Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an image captured in an environment with poor illumination. Recent advances in this area are dominated by deep learning-based solutions, where many learning strategies, network structures, loss functions, training data, etc. have been employed. In this paper, we provide a comprehensive survey to cover various aspects ranging from algorithm taxonomy to unsolved open issues. To examine the generalization of existing methods, we propose a low-light image and video dataset, in which the images and videos are taken by different mobile phones' cameras under diverse illumination conditions. Besides, for the first time, we provide a unified online platform that covers many popular LLIE methods, of which the results can be produced through a user-friendly web interface. In addition to qualitative and quantitative evaluation of existing methods on publicly available and our proposed datasets, we also validate their performance in face detection in the dark. This survey together with the proposed dataset and online platform could serve as a reference source for future study and promote the development of this research field. The proposed platform and dataset as well as the collected methods, datasets, and evaluation metrics are publicly available and will be regularly updated. Project page: https://www.mmlab-ntu.com/project/lliv_survey/index.html.
Published: 2021
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49. A Dynamic Decision-Making Method for Endorser Node Selection

Author: Junliang Liu, Ning Cao, Dongjie Zhu, Yixuan Lu, Hao Han, Xiaofang Li, W. Tian, and Hao Hu
Subjects: business.industry, Computer science, Node (networking), Interface (computing), Concurrency, Process (computing), Usability, Throughput, business, Dynamic decision-making, Field (computer science), Computer network
Abstract: The proposal of the blockchain 3.0 architecture represented by Hyperledger Fabric simplifies the process of each node participating in the blockchain network so that a large number of IoT devices can be quickly integrated into the network. However, the participating institutions in the field of power Internet of Things are complex, the performance of participating nodes is not uniform, and the load imbalance caused by it makes it impossible to meet the transaction throughput requirements of the business. In this paper, we established a Zookeeper-based endorser node performance monitoring module and replaced the original random selection strategy with a dynamic endorser node selection strategy based on the available resources of the node, effectively alleviating the endorsement pressure of a single node in high concurrency scenarios, thereby improving the overall concurrent processing capabilities. It is worth noting that our optimization is pluggable and does not make any changes to the interface of the Hyperledger Fabric, and it does not weaken the usability of the system. By comparing the existing architecture with our design, it is found that this dynamic decision-making endorser node selection strategy can help select more appropriate nodes for endorsement according to the node’s system resources and real-time load conditions, thus improving the concurrency of the system.
Published: 2021

50. Revisiting Attacks and Defenses in Connected and Autonomous Vehicles

Author: Weijun Zhang, Hao Han, Huaao Tang, Zongfei Li, Ziyan Fang, and Fengyuan Xu
Subjects: business.industry, Computer science, Core component, Automotive industry, Adversary, business, Computer security, computer.software_genre, computer
Abstract: With the development of the automotive industry, the security of connected and autonomous vehicles (CAVs) has become a hot research field in recent years. However, previous studies mainly focus on the threats and defending mechanisms from the networking perspective, while newly emerging attacks are targeting the core component – AI of CAVs. Therefore, the defense methods against these attacks are urgently needed. In this paper, we revisit emerging attacks and their technical countermeasures for CAVs in a layered inventory, including in-vehicle systems, V2X, and self-driving. We believe that this survey provides insights on defending adversary attacks on CAVs and will shed light on the future research in this area.
Published: 2021

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