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

282 results on '"Hao Meng"'

1. Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT

Author: Hongwei Li, Hao Meng, Guishan Dong, Hanxiao Chen, Xiaoming Huang, Guowen Xu, and Zhe Liu
Subjects: Information privacy, Computer science, business.industry, Deep learning, Contrast (statistics), Inference, Machine learning, computer.software_genre, Inference attack, Computer Science Applications, Data modeling, Control and Systems Engineering, Server, Key (cryptography), Artificial intelligence, Electrical and Electronic Engineering, business, computer, Information Systems
Abstract: The effectiveness of state-of-the-art deep learning (DL) models has empowered the development of industrial Internet of things (IIoT). Recently, considering resource-constrained and privacy-required IIoT devices, collaborative inference has been proposed, which splits DL models and deploys them in IIoT devices and an edge server separately. However, in this article, we argue that there are still severe privacy vulnerabilities in collaborative inference systems. And we devise the first membership inference attack (MIA) against collaborative inference, to infer whether a particular data sample is used for training the model of IIoT systems. Existing MIAs either assume full access to the systems’ APIs or availability of the target model's parameters, which is not applicable in realistic IIoT environments. In contrast to prior works, we propose transfer-inherit shadow learning and thus relax these key assumptions. We evaluate our attack on different datasets and various settings, and the results show it has high effectiveness.
Published: 2022

2. Effect of ammonia addition on combustion and emissions performance of a hydrogen engine at part load and stoichiometric conditions

Author: Shuofeng Wang, Chang Ke, Changwei Ji, Hao Meng, Gu Xin, Jinxin Yang, and Xiaoyu Cong
Subjects: Waste management, Hydrogen, Renewable Energy, Sustainability and the Environment, business.industry, Energy Engineering and Power Technology, chemistry.chemical_element, Condensed Matter Physics, Combustion, Hydrogen vehicle, Renewable energy, Ammonia, chemistry.chemical_compound, Fuel Technology, chemistry, Hydrogen fuel, Volume fraction, Environmental science, Ignition timing, business
Abstract: The development of alternative fuels is important in the fight against climate change. Both hydrogen and ammonia are renewable energy sources and are carbon-free combustible fuels. In a recent experimental study, the performance and emission characteristics of a spark-ignition engine burning a premixed hydrogen/ammonia/air mixture were evaluated. The manifold absolute pressure was adjusted to 61 kPa and the engine speed was stabilized at 1300 rpm. The difference between a mixture with a 2.2% volume fraction of ammonia and a pure hydrogen fuel was analyzed in comparison. Specifically, the addition of ammonia increased the ignition delay and flame development periods and reduced the rate of in-cylinder pressure rise. In conjunction with the ignition timing strategy, the addition of ammonia did not affect the engine performance. Nitrogen oxides emissions are increased due to the addition of ammonia. The experimental results suggest that ammonia can be used as a combustion inhibitor, which provides a new reference for the development of hydrogen-fuelled engines.
Published: 2021

3. A Ship Detection Method in Complex Background Via Mixed Attention Model

Author: Fei Yuan, Yang Tian, Hongwei Wei, and Hao Meng
Subjects: Multidisciplinary, Pixel, Computer science, business.industry, Deep learning, Pattern recognition, computer.software_genre, Convolutional neural network, Object detection, Convolution, Information extraction, Feature (computer vision), Preprocessor, Artificial intelligence, business, computer
Abstract: With the development of deep learning, recent object detection methods have made considerable progress. Unlike other simple visual object detection problems, it is more difficult to detect ships in a complex background. Nearshore vessels are always confused with background objects. When the ship target is small, the feature information in the background will greatly interfere with the information extraction and learning of the target area of the ship by the convolution neural network, resulting in the problem of ship sample imbalance. In response to this problem, this paper proposes a mixed attention model to decrease the difficulty of ship detection, which is composed of pixel attention model (PAM) and feature attention model (FAM). The PAM structure is a generative adversarial network designed to prove the sensitivity of the target area without extra manual works. FAM is a convolution network designed to increase the utilization rate of useful features. While MAM is not a fixed structure, it could be implanted into almost any object detection and classification networks. Meanwhile, PAM is for the original image preprocessing part and FAM is always added to the position of low-level features to high-level features. Following experimental results show that using MAM method into Yolov3, the mean average precision increased by 2.2% when achieved 0.975, which effectively improve the accuracy of ship detection in complex background.
Published: 2021

4. EasyNanopore: A Ready-to-Use Processing Software for Translocation Events in Nanopore Translocation Experiments

Author: Jing Tu, Guohao Xi, Linlin Wu, Zuhong Lu, Hao Meng, and Jiye Fu
Subjects: Computer science, business.industry, Event (computing), Real-time computing, Process (computing), Surfaces and Interfaces, computer.file_format, Processing, Condensed Matter Physics, Nanopores, Nanopore, Software, Installation, Electrochemistry, General Materials Science, Executable, business, computer, Spectroscopy, computer.programming_language, Graphical user interface
Abstract: We developed EasyNanopore which is a ready-to-use software to select the events of a nanopore molecular translocation experiment. The software is released as an executable file with a graphical user interface and provides several versions suitable for different operating systems without installing any running environment to execute it. We use the adaptive threshold which adapts to the low-frequency variation of the baseline to detect events and uses a multiprocess method to accelerate the process of event detection. After the event is identified, its duration and amplitude information will be extracted and a resulting txt file will be generated for further analysis. Our software runs fast and can effectively extract the data from data of large-scale nanopore molecular translocation experiments.
Published: 2021

5. Prognostic Value and Significant Pathway Exploration Associated with TOP2A Involved in Papillary Thyroid Cancer

Author: Li-hao Meng, Hai-yan wu, Mou-chun Gong, Fei-hua Chen, Jia Lyu, Wei-qing Chen, and Zhao-qing Jin
Subjects: Oncology, medicine.medical_specialty, endocrine system diseases, business.industry, pathway, International Journal of General Medicine, TOP2A, General Medicine, Cell cycle, poor prognosis, medicine.disease, Papillary thyroid cancer, Thyroid carcinoma, high expression, Internal medicine, microRNA, medicine, Stage (cooking), Signal transduction, business, Thyroid cancer, Survival analysis, Original Research
Abstract: Mou-chun Gong,&ast; Wei-qing Chen,&ast; Zhao-qing Jin, Jia Lyu, Li-hao Meng, Hai-yan wu, Fei-hua Chen Department of General Surgery, First Peopleâs Hospital of Hangzhou Linâan District, Hangzhou, Zhejiang, 311300, Peopleâs Republic of China&ast;These authors contributed equally to this work.Correspondence: Fei-hua ChenDepartment of General Surgery, First Peopleâs Hospital of Hangzhou Linâan District, 548 Yijin Road, Street Jincheng, Hangzhou, Zhejiang, 311300, Peopleâs Republic of ChinaEmail 13396510518@189.cnBackground: Topoisomerase 2-alpha (TOP2A) has been identified as a hub gene that played an important role in the initiation and progression of thyroid carcinoma (THCA). However, the exact function of TOP2A in papillary thyroid cancer (PTC) remained elusive. The current study aimed to evaluate the TOP2A expression, prognosis significance and key signaling pathways involved in PTC.Methods: We firstly evaluated the expression of TOP2A in PTC via UALCAN, cBioportal, HPA and LinkdedOmics databases. Genetic alteration of TOP2A in PTC was then explored in cBioportal. Prognostic impacts of TOP2A expression on disease-free survival (DFS) of PTC patients were subsequently evaluated using KaplanâMeier plotter and Gepia databases. Taking gender, age, cancer stage, T, N and M stages into consideration, we compared survival difference between TOP2A high and low expression groups. KEGG pathway analysis in WebGestalt and GSEA analysis were further performed to reveal the potential TOP2A-associated signaling pathways involved in PTC. Finally, the upstream microRNAs of TOP2A were assessed using DIANA, TargetScan, miRDB and miRWALK database, followed by mechanism exploration of upstream microRNAs.Results: 1) The mRNA and protein of TOP2A were highly expressed in PTC tissue compared with normal thyroid tissue. TOP2A expression was associated with patientâs age, N stage and cancer stage (all P< 0.05). TOP2A protein was mainly localized to nucleoplasm. 2) Most of samples occurred the missense substitution, and mutation site was located at K1199E. Nucleotide mutations were mainly presented as G>A (35.29%). 3) TOP2A high expression significantly influenced the DFS of PTC patients (P=0.015). Restricted survival analysis showed that TOP2A high expression caused poorer DFS of female patients (P=0.003) and those with age < 60 years old (P=0.002), early clinical stage (P=0.012), N0 stage (P=0.002) or M0 stage (P=0.040). 4) Pathway analysis suggested that TOP2A positively participated in the cell cycle, oocyte meiosis and p53 signaling pathways (all P< 0.05) involved in thyroid cancer.Conclusion: The expression of TOP2A was higher in PTC tissue, which resulted in a worse DFS of patients with PTC. TOP2A might act as an effective therapeutic target for PTC treatment.Keywords: TOP2A, high expression, poor prognosis, pathway
Published: 2021

6. Recent Progress and Trend of Robot Odor Source Localization

Author: Hiroshi Ishida, Qing-Hao Meng, and Tao Jing
Subjects: Odor source localization, Computer science, business.industry, Robot, Learning methods, Computer vision, Artificial intelligence, Electrical and Electronic Engineering, Probabilistic inference, business
Published: 2021

7. Dynamic change of serum albumin level can predict the prognosis of COVID‐19 patients with hypoalbuminemia

Author: Ruirui Feng, Hao Meng, Zhenhua Tong, Hao Yu, Zhuang Ma, Xinwei Wang, Quanyu Zhang, Yue Teng, Hongyu Li, Chengfei Peng, Yufu Tang, Hui Lu, Xiaozhong Guo, Guiyang Chu, Tianyi Zhu, Xingshun Qi, Bing Wang, and Haitao Zhao
Subjects: medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Serum albumin, Vascular permeability, Gastroenterology, law.invention, Serum albumin level, Metabolic Diseases, law, hemic and lymphatic diseases, Virology, Internal medicine, medicine, Humans, Hypoalbuminemia, Letter to the Editor, Serum Albumin, Retrospective Studies, biology, business.industry, COVID-19, Nutritional status, Prognosis, medicine.disease, Intensive care unit, Infectious Diseases, biology.protein, business, Hospital stay
Abstract: Hypoalbuminemia usually predicts higher mortality, longer hospital stay, and more frequent re-admission1 . About 40%-60% of COVID-19 patients develop hypoalbuminemia at admission2, 3 . This may be due to an increase of capillary permeability caused by systemic inflammatory response4 , which leads to the leakage of serum albumin into interstitial space5 , poor nutritional status, and impaired liver function1 . COVID-19 patients with hypoalbuminemia are more severe and/or critical2 , and have a higher probability of intensive care unit (ICU) admission and higher risk of death6, 7 . However, few studies have evaluated the dynamic change of serum albumin level in COVID-19 patients with hypoalbuminemia on the patients' death. This article is protected by copyright. All rights reserved.
Published: 2021

8. Image-guided, surgical robot-assisted percutaneous puncture of the foramen ovale and foramina stylomastoideum: a cadaveric study

Author: Fan-Hao Meng, Yu Song, Bo Qiao, Neng-Hao Jin, Yan-Ming Zhu, Bo-Fu Liang, Deng-Fa Gao, Hai-Zhong Zhang, and Ning-Ning Wang
Subjects: medicine.medical_specialty, Percutaneous, business.industry, Punctures, Robotics, General Medicine, Foramen ovale (skull), Surgery, medicine.anatomical_structure, Cadaver, Medicine, Humans, Technical Notes, Tomography, X-Ray Computed, business, Cadaveric spasm, Surgical robot, Foramen Ovale
Published: 2021

9. A Hand-Held Electronic Nose System for Rapid Identification of Chinese Liquors

Author: Qing-Hao Meng, Pei-Feng Qi, Tao Jing, and Hui-Rang Hou
Subjects: Electronic nose, business.industry, Feature extraction, food and beverages, Value (computer science), Pattern recognition, equipment and supplies, Identification (information), Feature (machine learning), Range (statistics), Binary code, Artificial intelligence, Electrical and Electronic Engineering, business, Instrumentation, Quality assurance, Mathematics
Abstract: The aim of this study is to identify types and grades of Chinese liquors. For this, a hand-held electronic nose (e-nose) system is designed and a triangular difference-based binary coding (TDBC) recognition method is proposed. For a test sample of liquors, features extracted from five gas sensors of the e-nose are converted into binary codes (0 and 1) for each liquor category. Specifically, for each liquor category, if a feature value of a test sample is within the feature value range of all training samples, we mark it as 1, otherwise 0. Subsequently, for each liquor category, the sum of binary codes of the test sample is calculated, and the category corresponding to the maximum sum value is determined as the predicted label of the test sample. Using the e-nose-based TDBC method, average recognition accuracies of 97.5% and 99.0% for liquor-type identification and grade evaluation were achieved, which were considerably higher than those obtained using four traditional recognition methods. These results indicate that as a novel approach, the e-nose-based TDBC method allows the recognition of Chinese liquors accurately and quickly, which is of great significance for liquor detection and industrial quality assurance methods.
Published: 2021

10. A Double-Square-Based Electrode Sequence Learning Method for Odor Concentration Identification Using EEG Signals

Author: Hui-Rang Hou and Qing-Hao Meng
Subjects: Signal processing, medicine.diagnostic_test, business.industry, Feature extraction, Pattern recognition, Electroencephalography, Square (algebra), k-nearest neighbors algorithm, Odor, Feature (machine learning), medicine, Artificial intelligence, Sequence learning, Electrical and Electronic Engineering, business, Instrumentation, Mathematics
Abstract: The aim of this study is to improve the recognition performance of olfactory electroencephalogram (EEG) signals induced by different odor concentrations, which is a new challenge in the field of olfactory EEG research. To do this, a novel double-square-based electrode sequence (DSES) learning method is elaborately proposed. First, two square-based feature sets, each with $N$ levels, are constructed based on $N$ power-spectral-density (PSD) features extracted from $N$ EEG electrodes. Subsequently, the electrode sequence (ES) codes are obtained by arranging the $N$ feature values of each level of each square feature set in ascending order. Finally, inspired by the $k$ -nearest neighbor ( $k$ -NN), a minimum inconsistency classification is presented to find the odor concentration class whose ES codes are the least inconsistent with those of the testing sample. In the experiment, rose and rotten odors, each with five concentrations, were used to induce olfactory EEG signals on 13 participants. Experimental results reveal that, using the proposed DSES method, considerably high classification accuracies of 94.2% and 92.9% on five different concentrations of the rose and rotten odors were obtained, respectively, significantly outperforming ten other methods. These results verify the superiority of the proposed DSES method in identifying different odor concentrations. In addition, the EEG dataset with 4550 samples is made public through the website presented in this study. In this way, the proposed DSES method combined with the published EEG dataset may further promote the development of olfactory EEG recognition research.
Published: 2021

11. Reconstruction of giant full-thickness lower eyelid defects using a combination of palmaris longus tendon with superiorly based nasolabial skin flap and palatal mucosal graft

Author: Hao Meng, Wangshu Wang, Shujian Yu, Tianyi Liu, and Ying Shao
Subjects: medicine.medical_specialty, Skin flap, Scars, 030230 surgery, Surgical Flaps, Tendons, 03 medical and health sciences, 0302 clinical medicine, Humans, Medicine, Palmaris longus tendon, Eyelid defect, Hand function, business.industry, Eyelids, Skin Transplantation, Plastic Surgery Procedures, musculoskeletal system, eye diseases, Surgery, Forearm, medicine.anatomical_structure, Mucosal graft, 030220 oncology & carcinogenesis, Full thickness, Eyelid, medicine.symptom, business
Abstract: Reconstruction of a full-thickness lower eyelid defect is challenging. We aim to use palmaris longus tendon to improve clinical outcomes in eyelid reconstruction. We generated a novel "three-layer structure" tissue by combination of palmaris longus tendon with superiorly-based nasolabial skin flap and palatal mucosal graft and applied in eyelid reconstruction surgery in 34 patients with significant full-thickness lower eyelid defects. The satisfaction scores were assessed in each patient to evaluate their cosmetic and functional outcomes in follow-up visits. The mean follow-up period was 15 months (range, 6-24 months). Satisfactory results were obtained in 100% patients. No patients reported deformities, obvious scars at the donor sites, or abnormalities of hand function on the surgical side. Our results demonstrated that the three-layer structure incorporating palmaris longus tendon for the reconstruction of giant full-thickness defects in lower eyelid is an effective procedure with satisfactory long-term results.
Published: 2020

12. D-VPnet: A network for real-time dominant vanishing point detection in natural scenes

Author: Ming Zeng, Qing-Hao Meng, and Yin-Bo Liu
Subjects: FOS: Computer and information sciences, 0209 industrial biotechnology, Computer science, Computer Vision and Pattern Recognition (cs.CV), Cognitive Neuroscience, Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, Parallel, Convolutional neural network, 020901 industrial engineering & automation, Line segment, Artificial Intelligence, Position (vector), Component (UML), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Vanishing point, business.industry, Image and Video Processing (eess.IV), I.4.7, Pattern recognition, Electrical Engineering and Systems Science - Image and Video Processing, Computer Science Applications, Feature (computer vision), 020201 artificial intelligence & image processing, Artificial intelligence, business
Abstract: As an important part of linear perspective, vanishing points (VPs) provide useful clues for mapping objects from 2D photos to 3D space. Existing methods are mainly focused on extracting structural features such as lines or contours and then clustering these features to detect VPs. However, these techniques suffer from ambiguous information due to the large number of line segments and contours detected in outdoor environments. In this paper, we present a new convolutional neural network (CNN) to detect dominant VPs in natural scenes, i.e., the Dominant Vanishing Point detection Network (D-VPnet). The key component of our method is the feature line-segment proposal unit (FLPU), which can be directly utilized to predict the location of the dominant VP. Moreover, the model also uses the two main parallel lines as an assistant to determine the position of the dominant VP. The proposed method was tested using a public dataset and a Parallel Line based Vanishing Point (PLVP) dataset. The experimental results suggest that the detection accuracy of our approach outperforms those of state-of-the-art methods under various conditions in real-time, achieving rates of 115fps., Comment: 18 pages, 6 figures, under review
Published: 2020

13. Assessing the safety of autologous stem cell transplant pathway via ambulatory care for patients with multiple myeloma

Author: Neil Rabin, Kwee Yong, Dunnya De-Silva, and Hao Meng Yip
Subjects: Adult, Male, Oncology, Autologous transplantation, medicine.medical_specialty, Standard of care, medicine.medical_treatment, Antineoplastic Agents, Transplantation, Autologous, 03 medical and health sciences, Patient safety, 0302 clinical medicine, Autologous stem-cell transplantation, Ambulatory care, Internal medicine, Antineoplastic Combined Chemotherapy Protocols, Ambulatory Care, medicine, Humans, Diseases of the blood and blood-forming organs, RC254-282, Multiple myeloma, Aged, Chemotherapy, business.industry, Outpatient, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Hematology, General Medicine, Middle Aged, medicine.disease, Treatment Outcome, 030220 oncology & carcinogenesis, Female, RC633-647.5, Stem cell, Multiple Myeloma, business, Stem Cell Transplantation, 030215 immunology
Abstract: High-dose chemotherapy (HDT) with autologous stem cell transplantation (ASCT) is the standard of care for eligible multiple myeloma (MM) patients with improved progression-free and overall survival. We reviewed the ambulatory care unit pathway for MM patients who underwent HDT/ASCT in a tertiary hospital to assess safety efficacy and outcomes. We concluded that the ambulatory care model offered for MM patients undergoing HDT/ASCT is a safe alternative pathway and highlighted further improvements.
Published: 2021

14. Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

Author: Hao Meng, Haomiao Yang, Hongwei Li, Xizhao Luo, Guowen Xu, and Liu Sen
Subjects: Scheme (programming language), business.industry, Computer science, Compromise, media_common.quotation_subject, Deep learning, Cloud computing, Computer Science Applications, Control and Systems Engineering, Server, Informatics, Health care, Robot, Differential privacy, Artificial intelligence, Electrical and Electronic Engineering, business, Science, technology and society, computer, Wearable technology, Information Systems, media_common, computer.programming_language
Abstract: By leveraging deep learning-based technologies, industrial artificial intelligence (IAI) has been applied to solve various industrial challenging problems in Industry 4.0. However, for privacy reasons, traditional centralized training may be unsuitable for sensitive data-driven industrial scenarios, such as healthcare and autopilot. Recently, federated learning has received widespread attention, since it enables participants to collaboratively learn a shared model without revealing their local data. However, studies have shown that, by exploiting the shared parameters adversaries can still compromise industrial applications such as auto-driving navigation systems, medical data in wearable devices, and industrial robots’ decision making. In this article, to solve this problem, we propose an efficient and privacy-enhanced federated learning (PEFL) scheme for IAI. Compared with existing solutions, PEFL is noninteractive, and can prevent private data from being leaked even if multiple entities collude with each other. Moreover, extensive experiments with real-world data demonstrate the superiority of PEFL in terms of accuracy and efficiency.
Published: 2020

15. Effects of adiposity on postural control and cognition in older adults

Author: Hao Meng and Stacey L. Gorniak
Subjects: Male, Aging, medicine.medical_specialty, Biophysics, Overweight, Body Mass Index, Postural control, 03 medical and health sciences, Cognition, 0302 clinical medicine, Physical medicine and rehabilitation, Weight loss, medicine, Humans, Orthopedics and Sports Medicine, Obesity, Effects of sleep deprivation on cognitive performance, Postural Balance, Adiposity, Aged, Balance (ability), Aged, 80 and over, Anthropometry, Working memory, business.industry, Rehabilitation, 030229 sport sciences, Middle Aged, Female, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract: Background Understanding the impacts of increased adiposity on postural control and cognitive deficits in adults is critical for health practitioners in recommending or prescribing effective weight loss regimens. Despite prior work in this area, the knowledge of increased adiposity impacts on postural control and cognitive deficits in older adults (OAs) is still limited. Research question The purposes of the current study were: (a) to assess the relationship between postural measures and adiposity measures by using regression model analyses and, (b) to examine the impacts of increased adiposity and age on cognitive performance. Methods A total of thirty (30) individuals aged 60+ years participated in the study. Participants were classified into three groups based upon their BMI scores at the onset of the study. The normal weight (NW) (BMI: 18.5–24.9 kg/m2), the overweight (OW) (BMI: 25–29.9 kg/m2), and the obese (OB) groups (BMI: 30−40 kg/m2) each had five females and five males. Participants were required to perform two test sessions: (1) anthropometry assessment and body composition scanning; and (2) evaluation of plantar tactile function, postural control, and cognitive function. Results Overall, our findings indicate that increased adiposity in OAs is associated with declines in both cognitive function and postural control. Significance Our data also indicate that measures such as BMI and abdominal fat mass amounts/ratios offer the best insight to the impact of adiposity on cognitive function and postural control measures. However, further work is still needed to clarify the mechanistic links between adiposity and cognitive-postural deficits.
Published: 2020

16. A 5G Beam Selection Machine Learning Algorithm for Unmanned Aerial Vehicle Applications

Author: S. Mojtaba Matinkhah, Zubair Ahmad, Wasswa Shafik, and Hao Meng
Subjects: Technology, Article Subject, Computer Networks and Communications, Computer science, business.industry, Deep learning, 020206 networking & telecommunications, TK5101-6720, 02 engineering and technology, Field (computer science), Telecommunication, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Electrical and Electronic Engineering, business, Thompson sampling, Algorithm, 5G, Selection (genetic algorithm), Information Systems
Abstract: The unmanned aerial vehicles (UAVs) emerged into a promising research trend within the recurrent year where current and future networks are to use enhanced connectivity in these digital immigrations in different fields like medical, communication, and search and rescue operations among others. The current technologies are using fixed base stations to operate onsite and off-site in the fixed position with its associated problems like poor connectivity. This open gate for the UAV technology is to be used as a mobile alternative to increase accessibility with fifth-generation (5G) connectivity that focuses on increased availability and connectivity. There has been less usage of wireless technologies in the medical field. This paper first presents a study on deep learning to medical field application in general and provides detailed steps that are involved in the multiarmed bandit (MAB) approach in solving the UAV biomedical engineering technology device and medical exploration to exploitation dilemma. The paper further presents a detailed description of the bandit network applicability to achieve close optimal performance and efficiency of medical engineered devices. The simulated results depicted that a multiarmed bandit problem approach can be applied in optimizing the performance of any medical networked device issue compared to the Thompson sampling, Bayesian algorithm, and ε-greedy algorithm. The results obtained further illustrated the optimized utilization of biomedical engineering technology systems achieving thus close optimal performance on the average period through deep learning of realistic medical situations.
Published: 2020

17. A transfer-learning-based feature classification algorithm for UAV imagery in crop risk management

Author: Shubo Wang, Hao Meng, Yue Pan, Yi Cao, Han Yu, and Jian Chen
Subjects: Feature (computer vision), Computer science, business.industry, Artificial intelligence, Machine learning, computer.software_genre, business, Transfer of learning, computer, Risk management
Published: 2020

18. Association Between MTHFR Polymorphisms and the Risk of Essential Hypertension: An Updated Meta-analysis

Author: Liping Fei, Yuping Xing, Yali Yang, Shaoyan Huang, Xiaofeng He, and Hao Meng
Subjects: Oncology, medicine.medical_specialty, Population, Subgroup analysis, Single-nucleotide polymorphism, QH426-470, Essential hypertension, Polymorphism (computer science), Internal medicine, medicine, Genetics, education, Rs1801133, Genetics (clinical), Rs1801131, education.field_of_study, FPRP, biology, business.industry, BFDP, Odds ratio, Publication bias, Meta-analysis, Methylenetetrahydrofolate reductase, MTHFR, biology.protein, Molecular Medicine, business
Abstract: Background: Since the 1990s, there have been a lot of research on single-nucleotide polymorphism (SNP) and different diseases, including many studies on 5,10-methylenetetrahydrofolate reductase (MTHFR) polymorphism and essential hypertension (EH). Nevertheless, their conclusions were controversial. So far, six previous meta-analyses discussed the internal relationship between the MTHFR polymorphism and EH, respectively. However, they did not evaluate the credibility of the positive associations. To build on previous meta-analyses, we updated the literature by including previously included papers as well as nine new articles, improved the inclusion criteria by also considering the quality of the papers, and applied new statistical techniques to assess the observed associations. Objectives: This study aims to explore the degree of risk correlation between two MTHFR polymorphisms and EH. Methods: PubMed, EMBASE, the Cochrane Library, CNKI, and Wan Fang electronic databases were searched to identify relevant studies. We evaluated the relation between the MTHFR C677T (rs1801133) and A1298C (rs1801131) polymorphisms and EH by calculating the odds ratios (OR) as well as 95% confidence intervals (CI). Here we used subgroup analysis, sensitivity analysis, cumulative meta-analysis, assessment of publication bias, meta-regression meta, False-positive report probability (FPRP), Bayesian false discovery probability (BFDP), and Venice criterion. Results: Overall, harboring the variant of MTHFR C677T was associated with an increased risk of EH in the overall populations, East Asians, Southeast Asians, South Asians, Caucasians/Europeans, and Africans. After the sensitivity analysis, positive results were found only in the overall population (TT vs. CC: OR = 1.14, 95% CI: 1.00–1.30, Ph = 0.032, I2 = 39.8%; TT + TC vs. CC: OR = 1.15, 95% CI: 1.01–1.29, Ph = 0.040, I2 = 38.1%; T vs. C: OR = 1.14, 95% CI: 1.04–1.25, Ph = 0.005, I2 = 50.2%) and Asian population (TC vs. CC: OR = 1.14, 95% CI: 1.01–1.28, Ph = 0.265, I2 = 16.8%; TT + TC vs. CC: OR = 1.17, 95% CI: 1.04–1.30, Ph = 0.105, I2 = 32.9%; T vs. C: OR = 1.10, 95% CI: 1.02–1.19, Ph = 0.018, I2 = 48.6%). However, after further statistical assessment by FPRP, BFDP, and Venice criteria, the positive associations reported here could be deemed to be false-positives and present only weak evidence for a causal relationship. In addition, when we performed pooled analysis and sensitivity analysis on MTHFR A1298C; all the results were negative. Conclusion: The positive relationships between MTHFR C677T and A1298C polymorphisms with the susceptibility to present with hypertension were not robust enough to withstand statistical interrogation by FPRP, BFDP, and Venice criteria. Therefore, these SNPs are probably not important in EH etiology.
Published: 2021

19. Gastrointestinal Bleeding, but Not Other Gastrointestinal Symptoms, Is Associated With Worse Outcomes in COVID-19 Patients

Author: Hongxin Chen, Zhenhua Tong, Zhuang Ma, Li Luo, Yufu Tang, Yue Teng, Hao Yu, Hao Meng, Chengfei Peng, Quanyu Zhang, Tianyi Zhu, Haitao Zhao, Guiyang Chu, Hongyu Li, Hui Lu, and Xingshun Qi
Subjects: medicine.medical_specialty, Gastrointestinal bleeding, Abdominal pain, Medicine (General), Constipation, Nausea, prevalence, outcomes, Gastroenterology, law.invention, coronavirus disease 2019, R5-920, law, Internal medicine, Medicine, Original Research, business.industry, Heartburn, Odds ratio, General Medicine, medicine.disease, Intensive care unit, gastrointestinal symptoms, Vomiting, medicine.symptom, business, human activities, severe acute respiratory syndrome coronavirus 2
Abstract: Background: Patients with coronavirus disease 2019 (COVID-19) can present with gastrointestinal (GI) symptoms. However, the prevalence of GI symptoms and their association with outcomes remain controversial in COVID-19 patients.Methods: All COVID-19 patients consecutively admitted to the Wuhan Huoshenshan hospital from February 2020 to April 2020 were collected. Disease severity and outcomes were compared between COVID-19 patients with and without GI symptoms. Logistic regression analyses were performed to evaluate the association of GI symptoms with the composite endpoint and death in COVID-19 patients. A composite endpoint was defined as transfer to intensive care unit, requirement of mechanical ventilation, and death. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated.Results: Overall, 2,552 COVID-19 patients were included. The prevalence of GI symptoms was 21.0% (537/2,552). Diarrhea (8.9%, 226/2,552) was the most common GI symptom. Patients with GI symptoms had significantly higher proportions of severe COVID-19 and worse outcomes than those without. Univariate logistic regression analyses demonstrated that GI symptoms were significantly associated with the composite endpoint (OR = 2.426, 95% CI = 1.608–3.661; P < 0.001) and death (OR = 2.137, 95% CI = 1.209–3.778; P = 0.009). After adjusting for age, sex, and severe/critical COVID-19, GI symptoms were still independently associated with the composite endpoint (OR = 2.029, 95% CI = 1.294–3.182; P = 0.002), but not death (OR = 1.726, 95% CI = 0.946–3.150; P = 0.075). According to the type of GI symptoms, GI bleeding was an independent predictor of the composite endpoint (OR = 8.416, 95% CI = 3.465–20.438, P < 0.001) and death (OR = 6.640, 95% CI = 2.567–17.179, P < 0.001), but not other GI symptoms (i.e., diarrhea, abdominal discomfort, nausea and/or vomiting, constipation, acid reflux and/or heartburn, or abdominal pain).Conclusion: GI symptoms are common in COVID-19 patients and may be associated with their worse outcomes. Notably, such a negative impact of GI symptoms on the outcomes should be attributed to GI bleeding.
Published: 2021

20. Risk-Factor Analysis of Disc and Facet Joint Degeneration After Inter-Segmental Pedicle Screw Fixation for Lumbar Spondylolysis

Author: Fang Li, Gao Yuan, Hao Meng, Peng Lu, Tian-Sheng Sun, Zhi-Cheng Zhang, and Guang-Min Zhao
Subjects: musculoskeletal diseases, Orthodontics, Lumbar, business.industry, Medicine, Spondylolysis, Facet joint degeneration, Pedicle screw fixation, Risk factor, business, medicine.disease
Abstract: Background: To assess the effects of inter-segment pedicle screw fixation for the treatment of lumbar spondylolysis, and evaluate various risk factors potentially predicting the probability of disc and facet joint degeneration after instrumentation.Methods: The study included 54 male L5 spondylolysis patients who underwent pars repair and inter-segment fixation using pedicle screws. Bony union was evaluated using reconstruction images of computed tomography. Radiographic changes including the disc height, vertebral slip, facet joint and disc degeneration in the grade of adjacent and fixed segments were determined from before to final follow-up. Logistic regression analysis was performed to identify factors associated with the incidence of disc and facet joint degeneration.Results: Bony union was achieved in all cases. Logistic regression analysis revealed that duration of instrumentation of more than 15.5 months and 21.0 months were significant risk factor of the incidence of L4/5 and L5S1 facet degeneration, respectively. Conclusions: Inter-segmental pedicle screw fixation provides good surgical outcomes and good isthmic bony union rates in patients with lumbar spondylolysis. The duration of fixation was confirmed as a risk factor of facet joint degeneration. Once bony union is achieved, remove of the instruments should be recommended.
Published: 2021

21. A voltage-pulse-modulated giant magnetoresistance switch with four flexible sensing ranges

Author: Hua Su, Bo Liu, Mengli Liu, Wei Du, Xiaoli Tang, and Hao Meng
Subjects: Materials science, Magnetic moment, Field (physics), Magnetoresistance, business.industry, Mechanical Engineering, Bioengineering, Heterojunction, Giant magnetoresistance, General Chemistry, Substrate (electronics), Pulse (physics), Magnetic anisotropy, Mechanics of Materials, Optoelectronics, General Materials Science, Electrical and Electronic Engineering, business
Abstract: This article introduces an innovative technique for achieving a giant magnetoresistance (GMR) switch with an adjustable sensing field range. A spin-valve (SV) patterned into a strip shape is grown on a specific (110)-cut Pb(Mg1/3Nb2/3)0.7Ti0.3O3 (PMN-PT) substrate. In the process of depositing films, a magnetic easy axis of the free layer in the SV is produced along the [001] direction (the x-axis) of the PMN-PT. This PMN-PT can produce a nonvolatile strain by using a positive voltage pulse. Accordingly, the magnetic moment of the free layer can be modulated to the y-axis by the strain-mediated magnetoelectric coupling effect produced in the SV/PMN-PT heterostructure. Furthermore, a negative voltage pulse can release the strain and revert the magnetic moment to the initial [001] direction. The effective field along the [1-10] direction produced by the nonvolatile strain can modulate the easy axis of the free layer, changing it from the x-axis to the y-axis. Therefore, large and small switching fields are achieved in a bipolar GMR switch. Furthermore, by applying positive and negative voltage pulses at appropriate moments, two asymmetrical switching field ranges are obtained. Thus, a GMR switch with four adjustable switching field ranges can be obtained. The proposed modulating model is flexible and can meet the requirements of specific and different application systems. The proposed design reveals a great potential for the application to the Internet of Things and the development of low-power and high-efficient magnetoresistive sensors.
Published: 2021

22. Neonatal sudden death caused by a novel heterozygous mutation in SLC25A20 gene: A case report and brief literature review

Author: Xuebo Li, Dianbin Zhang, Hao Meng, Zuliang Zhao, Xiangzhong Zhao, Feng Zhao, Mingxia Ding, and Shipeng Zhao
Subjects: medicine.medical_specialty, Heterozygote, Autopsy, Gene mutation, Compound heterozygosity, Asymptomatic, Sudden death, Gastroenterology, Pathology and Forensic Medicine, Death, Sudden, Internal medicine, Carnitine, medicine, Humans, Carnitine-acylcarnitine translocase deficiency, Cause of death, business.industry, Infant, Newborn, Membrane Transport Proteins, medicine.disease, Issues, ethics and legal aspects, Carnitine Acyltransferases, Heart failure, Mutation, medicine.symptom, business
Abstract: Carnitine-acylcarnitine translocase deficiency (CACTD) is a rare and life-threatening autosomal recessive disorder of fatty acid β-oxidation (FAO). Most patients with CACTD develop severe metabolic decompensation which deteriorates progressively and rapidly, causing death in infancy or childhood. As CACTD in some patients is asymptomatic or only with some nonspecific symptoms, the diagnosis is easy to be ignored, resulting in sudden death, which often triggers medical disputes. Herein, we report a case of neonatal sudden death with CACTD. The neonate showed a series of severe metabolic crisis, deteriorated rapidly and eventually died 3 days after delivery. Tandem mass spectrometry (MS-MS) screening of dry blood spots before death showed that the level of long-chain acylcarnitines, especially C12-C18 acylcarnitine, was increased significantly, and therefore a diagnosis of inherited metabolic disease (IMD) was suspected. Autopsy and histopathological results demonstrated that there were diffuse vacuoles in the heart and liver of the deceased. Mutation analysis revealed that the patient was a compound heterozygote with c.199–10 T > G and a novel c.1A > T mutation in the SLC25A20 gene. Pathological changes such as heart failure, arrhythmia and cardiac arrest related to mitochondrial FAO disorders are the direct cause of death, while gene mutation is the underlying cause of death.
Published: 2021

23. Robust and Online Vehicle Counting at Crowded Intersections

Author: Xiao Tan, Wei Zhang, Yang Xipeng, Tianran Tao, Xu Gao, Jincheng Lu, Errui Ding, Yifeng Shi, Hao Meng, Guanbin Li, and Meng Xia
Subjects: Vehicle counting, Ranking, Computer science, business.industry, Detector, Real-time computing, Pattern recognition (psychology), Traffic flow analysis, Artificial intelligence, Tracking (particle physics), business, Vehicle detector
Abstract: In this paper, we propose an online movement-specific vehicle counting system to realize robust traffic flow analysis at crowded intersections. Our proposed framework adopts PP-YOLO as the vehicle detector and adapts the Deep-Sort algorithm to perform multi-object tracking. In order to realize online and robust vehicle counting, we further adopt a shape-based movement assignment strategy to differentiate movements and carefully designed spatial constraints to effectively reduce false-positive counts. Our proposed framework achieves the overall S1-score of 0.9467, ranking the first in the AICITY2021-track1 challenge.
Published: 2021

24. Gross saponin of Tribulus terrestris improves erectile dysfunction in type 2 diabetic rats by repairing the endothelial function of the penile corpus cavernosum

Author: Wen-Ting Tong, Jun-Long Li, Min Chen, Chang-Rong Zhang, Hai-Gan Yang, Hao Meng, and Hui Zhang
Subjects: medicine.medical_specialty, Sildenafil, 030209 endocrinology & metabolism, Caspase 3, 030204 cardiovascular system & hematology, Nitric oxide, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Fibrosis, Enos, Internal medicine, Internal Medicine, medicine, Pharmacology, TUNEL assay, biology, business.industry, Streptozotocin, medicine.disease, biology.organism_classification, medicine.anatomical_structure, Endocrinology, chemistry, Cavernous tissue, business, medicine.drug
Abstract: Objective To investigate the effect of gross saponins of Tribulus terrestris (GSTT) on erectile function in rats resulting from type 2 diabetes mellitus (T2DMED). Methods The T2DMED model was constructed by high-fat and high-sugar feeding and streptozotocin injection. After 4 weeks of GSTT intervention. Intracavernous pressure (ICP) and mean arterial pressure (MAP) were measured in each group. The level of nitric oxide (NO) in the cavernous tissue was detected using the nitrate reductase method. The production of reactive oxygen species (ROS) was detected using DHE fluorescent probe detection. Cyclic adenosine monophosphate (cGMP) level was detected by enzyme-linked immunosorbent assay, and endothelial nitric oxide synthase (eNOS) was detected using immunohistochemistry. Masson staining was used to detect the cavernosal smooth muscle/collagen ratio. Apoptosis in endothelial cells was measured using TUNEL. Western blotting method to detect the protein expression level of eNOS, TIMP-1, cleaved caspase 3, and cleaved caspase 9. Results After treatment, the ICP and ICP/MAP values of the GSTT were significantly higher than those of the T2DMED group (P 0.05), and the mixed group had higher levels than these two groups (P
Published: 2019

25. Research of SOFC Combined Heat and Power Systems with Natural Gas

Author: Hao Meng, Zaihong Sun, and Minfang Han
Subjects: Electric power system, Materials science, business.industry, Natural gas, Process engineering, business
Published: 2019

26. Coil embolisation of multiple cerebral aneurysms with lateral type I persistent primitive trigeminal artery: A case report and literature review

Author: Ning Xu, Honglei Wang, Jian-Jun Xu, Zhongping Chen, Zheng Wan, Hao Meng, Tianyi Liu, and Zhe-Ming Zhang
Subjects: medicine.medical_specialty, Computed Tomography Angiography, Population, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Aneurysm, medicine.artery, medicine, Basilar artery, Humans, cardiovascular diseases, Multiple aneurysms, education, Computed tomography angiography, Coil embolization, education.field_of_study, medicine.diagnostic_test, business.industry, Angiography, Digital Subtraction, Intracranial Aneurysm, Cerebral Arteries, Middle Aged, medicine.disease, Embolization, Therapeutic, Cerebral Angiography, medicine.anatomical_structure, cardiovascular system, Anatomical Variants, Trigeminal artery, Female, Radiology, Tomography, X-Ray Computed, business, 030217 neurology & neurosurgery, Artery
Abstract: The primitive trigeminal artery is an anastomotic vessel of the carotid–basilar artery system that occurs only transiently during the embryonic period. Persistent primitive trigeminal artery occurs in approximately 0.1–0.6% of the population. Here, we report the case of a 60-year-old woman with Fisher II grade subarachnoid haemorrhage. Computed tomography angiography demonstrated a lateral, Saltzman type I persistent primitive trigeminal artery with three cerebral aneurysms, including one anterior communicating artery aneurysm, one suspicious right anterior choroidal artery aneurysm and one distal basilar artery aneurysm supplied by the persistent primitive trigeminal artery. All three aneurysms were treated with coil embolisation. At the 8-month follow-up, the anterior communicating artery aneurysm had a neck remnant, the other two aneurysms exhibited complete occlusion. Persistent primitive trigeminal artery with multiple cerebral aneurysms is extremely rare, and only seven cases of persistent primitive trigeminal artery with multiple cerebral aneurysms have previously been reported in publications that included information on treatment. Most aneurysms were treated by open surgery. This is the first report of coil embolisation treatment of multiple aneurysms in persistent primitive trigeminal artery patients with follow-up results, and provides relevant and valuable information about the persistent primitive trigeminal artery and the endovascular treatment of multiple aneurysms in persistent primitive trigeminal artery patients.
Published: 2019

27. The influence of local officials' promotion incentives on carbon emission in Yangtze River Delta, China

Author: Hong Yang, Zhigang Chen, Jun Yang, Xianjin Huang, Jianbao Li, Hao Meng, and Yan Zhou
Subjects: Delta, Renewable Energy, Sustainability and the Environment, Natural resource economics, 020209 energy, Strategy and Management, media_common.quotation_subject, 05 social sciences, chemistry.chemical_element, 02 engineering and technology, Multiple linear regression model, Industrial and Manufacturing Engineering, Promotion (rank), Incentive, chemistry, Greenhouse gas, 050501 criminology, 0202 electrical engineering, electronic engineering, information engineering, Yangtze river, Business, China, Carbon, 0505 law, General Environmental Science, media_common
Abstract: China's carbon emissions is heavily influenced by economic growth, which can be largely related to the local officials' promotion incentives. The current study was conducted to test the hypothesis that the influence of local officials' individual characteristics on carbon emissions was driven by the promotion incentives. Yangtze River Delta where carbon emissions accounted for around 13.95% of China's total emissions was selected as the research area. The multiple linear regression model was applied to determine the relationship between local officials' characteristics and total carbon emissions and carbon emissions from different sectors. The results indicated that local officials' promotion source, tenure and age significantly influenced the total carbon emission. Despite insignificance influence of officials' academic level on carbon emissions, the professional background in economics and management had a significant influence on carbon reduction. Our results indicated the importance of local officials' promotion incentives for carbon emission in China. Therefore, low carbon development should be included as an important part of official promotion system.
Published: 2019

28. Efficacy and safety of external-beam radiation therapy for hepatocellular carcinoma: An overview of current evidence according to the different target population

Author: Ying Xu, Fernando Gomes Romeiro, Hao Meng, Lei Han, Bing Han, Chuan Li, Andrea Mancuso, Zhirui Zhou, Tao Han, Giovanni Battista Levi Sandri, Lichun Shao, and Xingshun Qi
Subjects: Oncology, medicine.medical_specialty, Carcinoma, Hepatocellular, Health (social science), medicine.medical_treatment, External beam radiation, Target population, Liver transplantation, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Humans, Medicine, Chemoembolization, Therapeutic, Neoplasm Metastasis, Venous Thrombosis, Radiotherapy, business.industry, Liver Neoplasms, General Medicine, medicine.disease, Thrombosis, digestive system diseases, Liver Transplantation, Radiation therapy, Tumor progression, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, 030211 gastroenterology & hepatology, business, Liver cancer
Abstract: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors. During the recent years, external-beam radiation therapy (EBRT) has been safely and effectively employed for the management of HCC. We overviewed the current evidence regarding the efficacy and safety of EBRT for HCC according to the different target population. PubMed database was searched for identifying English-language full-text articles regarding EBRT for the treatment of HCC. Search items were "hepatocellular carcinoma AND radiation therapy". Until now, preliminary evidence has suggested the following role of EBRT for HCC. 1) EBRT, especially stereotactic body radiation therapy, is an emerging choice of therapy for small HCC. 2) EBRT combined with non-surgical treatment can achieve an excellent intrahepatic tumor control and a potential survival benefit for huge HCC. 3)Adjunctive EBRT may improve the efficacy of transarterial chemoembolization for HCC with portal vein tumor thrombosis. 4) EBRT can relieve the pain and improve the quality of life for patients with extrahepatic metastases. 5) EBRT may be a bridge to liver transplantation by minimizing the tumor progression. 6) Adjunctive EBRT may reduce the tumor recurrence and improve the survival after resection. In summary, EBRT is a promising choice of treatment of HCC. However, more high-quality evidence is needed to further establish the status of EBRT for the management of HCC.
Published: 2019

29. Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network

Author: Tianhao Yan, Fei Yuan, Hongwei Wei, and Hao Meng
Subjects: center loss, General Computer Science, Computer science, Speech recognition, residual block, Feature extraction, Pooling, 02 engineering and technology, dilated CNN, Residual, BiLSTM, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Emotion recognition, Electrical and Electronic Engineering, business.industry, Deep learning, General Engineering, 020206 networking & telecommunications, 3-D Log-Mel, Softmax function, Spectrogram, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, attention mechanism, lcsh:TK1-9971
Abstract: Speech emotion recognition is a vital and challenging task that the feature extraction plays a significant role in the SER performance. With the development of deep learning, we put our eyes on the structure of end-to-end and authenticate the algorithm that is extraordinary effective. In this paper, we introduce a novel architecture ADRNN (dilated CNN with residual block and BiLSTM based on the attention mechanism) to apply for the speech emotion recognition which can take advantage of the strengths of diverse networks and overcome the shortcomings of utilizing alone, and are evaluated in the popular IEMOCAP database and Berlin EMODB corpus. Dilated CNN can assist the model to acquire more receptive fields than using the pooling layer. Then, the skip connection can keep more historic info from the shallow layer and BiLSTM layer are adopted to learn long-term dependencies from the learned local features. And we utilize the attention mechanism to enhance further extraction of speech features. Furthermore, we improve the loss function to apply softmax together with the center loss that achieves better classification performance. As emotional dialogues are transformed of the spectrograms, we pick up the values of the 3-D Log-Mel spectrums from raw signals and put them into our proposed algorithm and obtain a notable performance to get the 74.96% unweighted accuracy in the speaker-dependent and the 69.32% unweighted accuracy in the speaker-independent experiment. It is better than the 64.74% from previous state-of-the-art methods in the spontaneous emotional speech of the IEMOCAP database. In addition, we propose the networks that achieve recognition accuracies of 90.78% and 85.39% on Berlin EMODB of speaker-dependent and speaker-independent experiment respectively, which are better than the accuracy of 88.30% and 82.82% obtained by previous work. For validating the robustness and generalization, we also make an experiment for cross-corpus between above databases and get the preferable 63.84% recognition accuracy in final.
Published: 2019

30. Detecting Seizures From EEG Signals Using the Entropy of Visibility Heights of Hierarchical Neighbors

Author: Chunyu Zhao, Qing-Hao Meng, and Ming Zeng
Subjects: General Computer Science, Computer science, Feature extraction, 02 engineering and technology, Electroencephalography, 03 medical and health sciences, Entropy (classical thermodynamics), Epilepsy, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, medicine, Entropy (information theory), General Materials Science, Ictal, Entropy (energy dispersal), Entropy (arrow of time), medicine.diagnostic_test, Entropy (statistical thermodynamics), business.industry, electroencephalogram (EEG), visibility height, Visibility graph, General Engineering, 020207 software engineering, Pattern recognition, medicine.disease, Frequency domain, hierarchical neighbors, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, entropy, lcsh:TK1-9971, 030217 neurology & neurosurgery, Entropy (order and disorder)
Abstract: Epilepsy is a chronic disorder that causes unprovoked, recurrent sudden abnormal reactions of the brain. Characterizing electroencephalogram (EEG) signals of the patient is an effective way for the early prediction of epileptic seizures. In this paper, a new method called the entropy of visibility heights of hierarchical neighbors (EVHHN) is proposed to detect seizures from the EEG signals. First, the visibility relationships of three nearest neighbors are determined by a visibility criterion. Then, we compute the visibility heights of three nearest neighbors for each data point. Next, the four different kinds of entropy associated with neighbor visibility states are calculated to characterize the EEG signals and finally these features are validated by LS-SVM classifiers. In the experiment, the normal and ictal EEG signals are classified with the accuracy of 99.6%, meanwhile, the interictal and ictal EEG signals are distinguished with the accuracy of 98.35%, which proves the effectiveness of our proposed method. Notably, the computational time of extracting features for each set is 1.751 s, which is largely reduced compared with other weighted visibility graph-based methods. In conclusion, the EVHHN can potentially be an effective method for characterizing complicated EEG signals and real-time detection of epileptic seizures.
Published: 2019

31. GPS/INS Integrated Navigation Based on Grasshopper Optimization Algorithm

Author: Hao Meng, Yuting Xun, Xiangwei Yi, Guangqi Wang, Yu Han, Jian Chen, Yongjun Zheng, Nannan Du, and Yi Cao
Subjects: 0209 industrial biotechnology, business.industry, Computer science, 020208 electrical & electronic engineering, GPS/INS, Real-time computing, Navigation system, Particle swarm optimization, Swarm behaviour, 02 engineering and technology, Kalman filter, Sensor fusion, Noise, 020901 industrial engineering & automation, Control and Systems Engineering, 0202 electrical engineering, electronic engineering, information engineering, Global Positioning System, business
Abstract: In GPS/INS integrated navigation, Kalman filter is usually used for data fusion between GPS and INS. The filtering algorithm of integrated navigation is related to whether the advantages of each sensor in the integrated navigation can be utilized, the navigation accuracy is improved, the reliable working time of the navigation system is improved and the navigation requirement are met. In this paper, we proposed an approach based on the Grasshopper optimization algorithm (GOA), which is a recent algorithm inspired by the biological behavior shown in swarm of grasshoppers. The goal of the proposed approach is to optimize the parameters of the Kalman filter. The Kalman filter method is improved by grasshopper optimization algorithm, which improves the accuracy of integrated navigation and reduces the errors caused by system noise and measurement noise. For verification, the proposed approach is compared with particle swarm optimization. The simulation experiment results show that the proposed approach has a better effect.
Published: 2019

32. Treatment of acute thromboembolic complication after stent-assisted coil embolization of ruptured intracranial aneurysm: a case report

Author: Yingli Feng, Ning Xu, Honglei Wang, Tianyi Liu, Hao Meng, and Yuan Qi
Subjects: medicine.medical_specialty, Subarachnoid hemorrhage, medicine.medical_treatment, Embolectomy, Case Report, re-canalized, 03 medical and health sciences, 0302 clinical medicine, Aneurysm, medicine.artery, medicine, cardiovascular diseases, 030212 general & internal medicine, Thrombus, medicine.diagnostic_test, business.industry, stent-assisted coil embolization, Stent, Digital subtraction angiography, medicine.disease, intracranial aneurysm, Surgery, acute thromboembolic complication, Ophthalmic artery, Angiography, cardiovascular system, business, 030217 neurology & neurosurgery
Abstract: A 45-year-old Chinese man presented with acute severe headache for 2 days. He was diagnosed as subarachnoid hemorrhage. Head CT and subsequent head digital subtraction angiography (DSA) showed left internal carotid artery (ICA) aneurysm in the supraclinoid segment. Stent-assisted coil embolization of aneurysm was performed. Three hours after the surgery, the patient was found to be drowsy and with paralysis of the right limb and slurred speech. Urgent head CT examination ruled out acute hemorrhage; however, DSA showed acute thrombosis in the left ICA between the branches of the ophthalmic artery and middle cerebral artery, which was probably from an acute in-stent thrombosis. Urokinase (100,000 units) was given through a micro-tube but failed to dissolve the thrombus; thus, stent embolectomy was performed, which successfully removed the thrombus. Repeat angiography showed that the left ICA was completely recanalized. Postoperatively, the patient regained consciousness and was well-limbed and fluent in speech. No neurological symptoms or signs were found at 6-, 12-, and 24-month follow-up.
Published: 2018

33. Comparison of liver biochemical abnormality between COVID-19 patients with liver cirrhosis versus COVID-19 alone and liver cirrhosis alone

Author: Tianyi Zhu, Chengfei Peng, Hao Yu, Hao Meng, Haitao Zhao, Yue Teng, Quanyu Zhang, Hui Lu, Yang An, Xingshun Qi, Zhenhua Tong, Zhuang Ma, Xinwei Wang, Yufu Tang, Xiaozhong Guo, Guiyang Chu, and Bing Wang
Subjects: Adult, Male, China, medicine.medical_specialty, Gastrointestinal bleeding, Cirrhosis, liver cirrhosis, Observational Study, Severity of Illness Index, Gastroenterology, law.invention, 03 medical and health sciences, 0302 clinical medicine, Liver Function Tests, liver biochemical abnormality, Risk Factors, law, Internal medicine, Severity of illness, Humans, Medicine, 030212 general & internal medicine, Pandemics, Aged, Aged, 80 and over, medicine.diagnostic_test, business.industry, SARS-CoV-2, Incidence (epidemiology), Case-control study, COVID-19, General Medicine, Middle Aged, medicine.disease, Intensive care unit, Intensive Care Units, Case-Control Studies, 030220 oncology & carcinogenesis, outcome, Female, Abnormality, business, Liver function tests, Research Article
Abstract: Coronavirus disease (COVID-19) patients frequently develop liver biochemical abnormality. However, liver biochemical abnormality in COVID-19 patients with liver cirrhosis is under-recognized.Patients hospitalized during COVID-19 pandemic in China (ie, from February to April 2020) were screened. All of 17 COVID-19 patients with liver cirrhosis consecutively admitted to the Wuhan Huoshenshan Hospital were identified. Meanwhile, 17 age-, sex-, and severity-matched COVID-19 patients without liver cirrhosis admitted to this hospital were selected as a control group; all of 14 cirrhotic patients without COVID-19 consecutively admitted to the Department of Gastroenterology of the General Hospital of Northern Theater Command were selected as another control group. Incidence of liver biochemical abnormality and decompensated events were primarily compared.Among the COVID-19 patients with liver cirrhosis, the incidence of liver biochemical abnormality at admission and during hospitalization were 76.50% and 84.60%, respectively; 7 (41.20%) had decompensated events at admission; 1 was transferred to intensive care unit due to gastrointestinal bleeding. Among the COVID-19 patients without liver cirrhosis, the incidence of liver biochemical abnormality at admission and during hospitalization were 58.80% (Pâ=â.271) and 60.00% (Pâ=â.150), respectively. Among the cirrhotic patients without COVID-19, the incidence of liver biochemical abnormality at admission and during hospitalization were 69.20% (Pâ=â.657) and 81.80% (Pâ=â.855), respectively; 11 (78.60%) had decompensated events at admission (Pâ=â.036). None died during hospitalization among the three groups.Liver biochemical abnormality is common in COVID-19 patients with liver cirrhosis. Management of decompensated events in cirrhotic patients without COVID-19 should not be neglected during COVID-19 pandemic.
Published: 2021

34. Mothers' experiences of neonatal intensive care: A systematic review and implications for clinical practice

Author: Hao-Hao Meng, Jie Zhou, Juan-Juan Ma, and Li-Li Wang
Subjects: Mother–infant bond, Systematic Reviews, business.industry, health care facilities, manpower, and services, education, General Medicine, Clinical Practice, Nursing, Intensive care, Maternal experience, Preterm infant, Systematic review, Medicine, Neonatal intensive care units, business, Implication
Abstract: BACKGROUND Preterm birth is on the rise worldwide. Neonatal intensive care units (NICUs) have enabled many critically ill newborns to survive. When a premature baby is admitted to the NICU, the mother–infant relationship may be interrupted, affecting the mother's mental health. AIM To examine the maternal emotions associated with having a child in the NICU and provide suggestions for clinical practice. METHODS MEDLINE, CINAHL, PsychARTICLES, and PsychINFO were searched for relevant articles between 2005 to 2019, and six qualitative articles were chosen that explored the experiences of mothers who had a preterm infant in the NICU. The thematic analysis method was used to identify the most common themes. RESULTS Four main themes of the experience of mothers who had a preterm infant in the NICU were identified: Negative emotional impacts on the mother, support, barriers to parenting, and establishment of a loving relationship. CONCLUSION NICU environment is not conducive to mother-child bonding, but we stipulate steps that health care professionals can take to reduce the negative emotional toll on mothers of NICU babies.
Published: 2021

35. Characteristics and In-Hospital Outcomes of COVID-19 Patients with Abnormal Liver Biochemical Tests

Author: Yue Teng, Ruirui Feng, Haitao Zhao, Zhenhua Tong, Zhuang Ma, Xinwei Wang, Yufu Tang, Hongyu Li, Xiaozhong Guo, Quanyu Zhang, Bing Wang, Xingshun Qi, Guiyang Chu, Chengfei Peng, Hui Lu, Tianyi Zhu, Hao Yu, Hao Meng, and Yanyan Wu
Subjects: Male, medicine.medical_specialty, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), MEDLINE, Specialties of internal medicine, Comorbidity, Hepatitis, Liver Function Tests, Risk Factors, Internal medicine, medicine, Humans, Prospective Studies, Letters to the Editor, Hepatology, medicine.diagnostic_test, Pandemic, business.industry, SARS-CoV-2, Liver Diseases, COVID-19, General Medicine, Middle Aged, Hospitals, Death, Coronavirus, Hospitalization, Latin America, Hospital outcomes, Liver, RC581-951, Original Article, Female, Abnormal liver, Liver function tests, business
Abstract: Introduction & objectives The independent effect of liver biochemistries as a prognostic factor in patients with COVID-19 has not been completely addressed. We aimed to evaluate the prognostic value of abnormal liver tests on admission of hospitalized patients with COVID-19. Materials & methods We performed a prospective cohort study including 1611 hospitalized patients with confirmed SARS-CoV-2 infection from April 15, 2020 through July 31, 2020 in 38 different Hospitals from 11 Latin American countries. We registered clinical and laboratory parameters, including liver function tests, on admission and during hospitalization. All patients were followed until discharge or death. We fit multivariable logistic regression models, further post-estimation effect through margins and inverse probability weighting. Results Overall, 57.8% of the patients were male with a mean age of 52.3 years, 8.5% had chronic liver disease and 3.4% had cirrhosis. Abnormal liver tests on admission were present on 45.2% (CI 42.7–47.7) of the cohort (n = 726). Overall, 15.1% (CI 13.4–16.9) of patients died (n = 244). Patients with abnormal liver tests on admission presented higher mortality 18.7% (CI 15.9–21.7), compared to those with normal liver biochemistries 12.2% (CI 10.1–14.6); P 30. Conclusions The presence of abnormal liver tests on admission is independently associated with mortality and severe COVID-19 in hospitalized patients with COVID-19 infection and may be used as surrogate marker of inflammation. Clinicaltrials.gov NCT04358380.
Published: 2021

36. Coughing-based recognition of Covid-19 with spatial attentive ConvLSTM recurrent neural networks

Author: Emilia Parada-Cabaleiro, Björn Schuller, Meishu Song, Shuo Liu, Hao Meng, and Tianhao Yan
Subjects: Recurrent neural network, Coronavirus disease 2019 (COVID-19), Computer science, business.industry, Artificial intelligence, ddc:004, business
Published: 2021

37. Research on Evaluation Index System of Urban Bus and Trolleybus Line Network

Author: Peng Xiao, Hao Meng, and Guo Zhong
Subjects: Service (systems architecture), Computer science, business.industry, media_common.quotation_subject, Big data, Payment, Transport engineering, Credit card, Bus network, Urban planning, Service level, Public transport, business, media_common
Abstract: Public transport is an important part of urban development and management. Urban bus and trolleybus are parts of urban public transport and one of the most basic modes of travel provided by the government for the public, which are related to the immediate interests of the public. Urban bus and trolleybus network is the layout of bus and trolleybus on the road network. The more reasonable the bus network layout is, the higher the service level of bus and trolleybus will be. However, there are few researches on the evaluation of bus and trolleybus line network in China at present, a systematic evaluation index system has not yet been established, which makes it difficult to systematically and effectively evaluate the line network. In this paper, the evaluation indexes suitable for each city are selected from the perspective of the performance of bus and trolleybus line network and the bus and trolleybus operation effect to establish an evaluation index system of bus and trolleybus line network, including 11 indexes. At the same time, the paper gives the recommended collection method of each index, such as GIS, big data of bus credit card and electronic payment. The research results provide a reference for the planning, construction and management of bus and trolleybus, and provide a basis for improving the urban bus and trolley bus service and urban management.
Published: 2021

38. Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study

Author: Dmitri, Nepogodiev, Joana Ff Simoes, Elizabeth, Li, Maria, Picciochi, James, C Glasbey, Glauco, Baiocchi, Ruth, Blanco-Colino, Daoud, Chaudhry, Ehab, Alameer, Kariem, El-Boghdadly, Funmilola, Wuraola, Dhruva, Ghosh, Rohan, R Gujjuri, Ewen, M Harrison, Herman, Lule, Haytham, Kaafarani, Mohammad, Khosravi, Irmgard, Kronberger, Sezai, Leventoğlu, Harvinder, Mann, Kenneth, A Mclean, Mengistu Gebreyohanes Mengesha, Maria Marta Modolo, Faustin, Ntirenganya, Lisa, Norman, Oumaima, Outani, Riinu, Pius, Peter, Pockney, Ahmad Uzair Qureshi, April Camilla Roslani, Sohei, Satoi, Catherine, Shaw, Aneel, Bhangu, Omar, M Omar, Waheed-Ul-Rahman, Ahmed, Leah, Argus, Alasdair, Ball, Edward, P Bywater, Amanpreet, Brar, Brett, E Dawson, Irani, Duran, Muhammed, Elhadi, Conor, S Jones, Sivesh, K Kamarajah, James, M Keatley, Samuel, Lawday, Ella, J Marson, Riinu, Ots, Irène, Santos, Elliott, H Taylor, Isobel, M Trout, Chris, Varghese, Mary, L Venn, William, Xu, Irida, Dajti, Arben, Gjata, Salah Eddine Oussama Kacimi, Luis, Boccalatte, Daniel, Cox, Philip, Townend, Felix, Aigner, Irmgard Elisabeth Kronberger, Elgun, Samadov, Amer, Alderazi, Kamral, Hossain, Greg, Padmore, Gabrielle van Ramshorst, Ismaïl, Lawani, Anis, Cerovac, Samir, Delibegovic, Gustavo Mendonça Ataíde Gomes, Igor Lima Buarque, Muhammad, Gohar, Mihail, Slavchev, Chukwuemeka, Nwegbu, Arnav, Agarwal, Janet, Martin, Joshua, Ng-Kamstra, Maricarmen, Olivos, Wenhui, Lou, Dong-Lin, Ren, Jose Andres Calvache, Carlos, J Perez Rivera, Ana Danic Hadzibegovic, Tomislav, Kopjar, Jakov, Mihanovic, Pablo Mijahil Avilés Jiménez, Nikolaos, Gouvas, Jaroslav, Klat, René, Novysedlák, Nicolas, Amisi, Peter, Christensen, Alaa, El-Hussuna, Sylvia, Batista, Eddy, Lincango-Naranjo, Sameh, Emile, Danilo Alfonso Arévalo Sandoval, Hailu, Dhufera, Samuel, Hailu, Mengistu, G Mengesha, Joonas, H Kauppila, Alexis, P Arnaud, Zaza, Demetrashvili, Markus, Albertsmeier, Hans, Lederhuber, Markus, W Löffler, Daniel Kwesi Acquah, Bernard, Ofori, Stephen, Tabiri, Symeon, Metallidis, Georgios, Tsoulfas, Maria-Lorena, Aguilera-Arevalo, Gustavo, Recinos, Tamás, Mersich, Dániel, Wettstein, Gabriele, Kembuan, Peiman Brouki Milan, Mohammad Hossein Khosravi, Masoud, Mozafari, Ahmed, Hilmi, Helen, Mohan, Oded, Zmora, Gaetano, Gallo, Francesco, Pata, Gianluca, Pellino, Yuki, Fujimoto, Naoto, Kuroda, Mohamad, K Abou Chaar, Faris, Ayasra, Ildar, Fakhradiyev, Intisar Hisham Said Hamdun, Jang, Jin-Young, Mohammad, Jamal, Lina, Karout, Aiste, Gulla, Fanjandrainy, Rasoaherinomenjanahary, Luc Hervé Samison, Iran Irani Durán Sánchez, Diana Samantha Gonzalez, Laura, Martinez, María José Martínez, Alejandra, Nayen, Antonio Ramos-De la Medina, Jade, Nunez, Pueya Rashid Nashidengo, Rakesh, Shah, Ashish Lal Shrestha, Pascal, Jonker, Schelto, Kruijff, Milou, Noltes, Pieter, Steinkamp, Deborah, Wright, Lukman, Abdur-Rahman, Adesoji, Ademuyiwa, Adewale, Adisa, Babatunde, Osinaike, Justina, Seyi-Olajide, Omolara, Williams, Emmanuel, Williams, Sofija, Pejkova, Zainab Al Balushi, Raza, Sayyed, Mustafa Abo Mohsen, Sadi, A Abukhalaf, Moises, Cukier, Hugo, Gomez-Fernandez, Sebastian Shu Yip, Ximena Paola Vasquez Ojeda, Marie Dione Sacdalan, Piotr, Major, José, Azevedo, Miguel, F Cunha, Ahmad, Zarour, Eduard-Alexandru, Bonci, Ionut, Negoi, Sergey, Efetov, Viktor, Kochetkov, Andrey, Litvin, Jc Allen Ingabire, Georges, Bucyibaruta, Ntirenganya, Faustin, Sosthene, Habumuremyi, Alphonsine, Imanishimwe, Haragirimana Jean de Dieu, Emmanuel, Munyaneza, Isaie, Ncogoza, Abdourahmane, Ndong, Dejan, Radenkovic, Min Hoe Chew, Frederick, Koh, James, Ngu, Arpád, Panyko, Uros, Bele, Jurij Aleš Košir, Hassan, Daoud, Ana Maria Minaya Bravo, Umesh, Jayarajah, Dakshitha, Wickramasinghe, Mohammed Elmujtba Adam Essa Adam, Martin, Rutegård, Malin, Sund, Michel, Adamina, Eleftherios, Gialamas, Karoline, Horisberger, Muhammad, Alshaar, Abel, Huang, Varut, Lohsiriwat, Shane, Charles, Haithem, Jlassi, Arda, Isik, Hervé Monka Lekuya, Slava, Kopetskyi, Hayder, Alsaadi, Sattar, Alshryda, Osaid, Alser, Brittany, Bankhead-Kendall, Kerry, Breen, Hassan, Mashbari, Fernando Bonilla Cal, Hamza, Al-Naggar, Mayaba, Maimbo, Dennis, Mazingi, Tom, Abbott, Melika, Akhbari, Ruth, Benson, Shivam, Bhanderi, Bruce, Biccard, Edward, Caruana, Sohini, Chakrabortee, Reema, Chapatwala, Ainhoa, Costas-Chavarri, Andreas, K Demetriades, Anant, Desai, Salomone Di Saverio, Thomas, Drake, John, Edwards, Jonathan, Evans, Marco, Fiore, Samuel, Ford, Christina, Fotopoulou, Alexander, Fowler, Kaori, Futaba, Ian, Ganly, Harelimana Grace James, Ewen, Griffiths, Alessandro, Gronchi, Peter, Hutchinson, Gabriella Yael Hyman, Joseph, Incorvia, Ritu, Jain, Michael, Jenkinson, Tabassum, Khan, Stephen Richard Knight, Angelos, Kolias, Søren, Kudsk-Iversen, Tsun Yu Kwan, Elaine, Leung, Julio, Mayol, Siobhan, Mckay, John, G Meara, Emily, Mills, Susan, Moug, Akshay, Patel, Roberto, Perinotti, Henry, E Rice, Keith, Roberts, Andrew, Schache, Richard, Shaw, Neil, Smart, Matthew, Stephens, Grant, D Stewart, Ella, Teasdale, Peter, Vaughan-Shaw, Raghavan, Vidya, Naomi, Wright, Natalie, Zimmelman, Ervis, Agastra, Dariel, Thereska, Sergio Martin Lucchini, Veronica, Laudani, Carina, Chwat, Ivana Ines Pedraza Salazar, Diana Alejandra Pantoja Pachajoa, Agustin, Duro, José Alfredo Calderón Arancibia, Giuliana, D'Aulerio, Nagendra, Dudi-Venkata, Natasha, Egoroff, Shebani, Farik, Natalie, Lott, Jana-Lee, Moss, Sarah, Rennie, Lorwai, Tan, Uyen Giao Vo, David, Watson, David, Watters, Tim, Bright, Paul, Hollington, Xuanyu, Zhou, Hidde, M Kroon, Anthony, Farfus, John, Barker, Eleanor, Watson, Sean, Stevens, Haider, Latif, Amanda Caroline Dawson, Alwin, Chuan, Vijayaragavan, Muralidharan, Enoch, Wong, Travis, Ackermann, Maurizio, Pacilli, Russell, Hodgson, Alexander, Heriot, Peter, Choong, Wendy, Brown, Surjit, Lidder, Justin, Yeung, Luke, Traeger, Guillermo, Regalo, Ralph, Gourlay, Sarit, Badiani, Cherry, Koh, Soni, Putnis, Fayza, Haider, Ashrarur Rahman Mitul, Niels, Komen, Bert, Dhondt, Serge, Cappeliez, Manon, Pigeolet, Martijn, Schoneveld, Jasper, Stijns, Wouter, Oosterlinck, Nicolas, Flamey, Cyrille, Kpangon, Mouhamed, Agbadebo, Sèmèvo Romaric Tobome, Aldo Vieira Barros, Samuel Aguiar Júnior, Heloisa Galvão do Amaral Campos, Jefferson, Gross, Felipe José Fernandez Coimbra, Luiz Paulo Kowalski, Fabiana, Makdissi, Suely, Nakagawa, Joao Pedreira Duprat Neto, Jose Guilherme Vartanian, Guilherme, Yazbek, Stenio, C Zequi, Ronald, Flumignan, Natalia, Jaworska, Angela, Dell, Harsha, Shanthanna, Abdollah, Behzadi, Carolyn, Nessim, Michelle, Mozel, Pascal, St-Germain, Crispin, Russell, Gary, Groot, Najib, Safieddine, Duminda, Wijeysundera, Antoine, Eskander, Sami, Chadi, Shawn, Mackenzie, Alana, Flexman, Fernando, Heredia, Julio, Villanueva, Sofia, Waissbluth, Roberto, Macchiavello, Mario, I Escudero, Tyare, Fuentes, Ximena, Mimica, Dinimo Bolivar Saenz, Lina, Caicedo, Juan Pablo Alzate, Joaquin, Luna, Nestor Fabian Pedraza Alonso, Camilo Ortiz Silva, Juliana, Rodriguez, Liliana, Silva-Igua, Martha Luz Torres, Lina María Trujillo, Albaro José Nieto Calvache, Julián, Balanta-Melo, Rafael, Figueroa-Casanova, Oscar-Julián, García-Montoya, Carlos Andres Marulanda Toro, Marcela Velez Botero, Maria Clara Mendoza Arango, Eneida Diaz Martinez, Valentina Gutiérrez Perdomo, Emileth, Montenegro, Julia, Rodriguez-Abreu, Dolores, Mejía, Galal, Abouelnagah, Sameh, Shehata, Ahmed Hossam Eldin Fouad Rida, Ramy, A Hassan, Mahmoud, M Saad, Mohamed Reda Loaloa, Badr, Mostafa, Mohamed, Qassem, Mohamed, Fahmy, Hesham, Abozied, Ahmed, Y Azzam, Sherief, Ghozy, Asser, Sallam, Ahmed, Shehta, Mohamed, Abdelkhalek, Rehab, Samaka, Amr, Morsy, Ahmed Elshawadfy Sherif, Abraham, Negussie, Tigist, Fisseha, Kibruyisfaw, Shumbash, Metasebia, Abebe, Seid Mohammed Yasin, Yemisirach Bizuneh Akililu, Abebe, Megersa, Teshome, Tefera, Melatework, Assefa, Bahru, Atnafu, Bereket, Tsegaye, Yoseph Solomon Bezabih, Silamlak, Sisay, Kebebe, Bekele, Moa, Jira, Habtamu, Derilo, Eyueal, Degefa, Anteneh, Tadesse, Melkamu, Nidaw, Elise, Sarjanoja, Sylvie, Testelin, Sophie, Boucher, Lionel, Jouffret, Zaher, Lakkis, Alban Zarzavadjian Le Bian, Luke, Harper, Marc Danguy des Déserts, Benoît, André, Karem, Slim, Romain, Verhaeghe, Andrea, Police, Edouard, Girard, Alexandre, Chebaro, Armande Subayi Nkembi, Laurent, Arnalsteen, Quentin, Ballouhey, Diane, Mege, Clement, Jeandel, Emilie, Duchalais, Pierre-Alban, Bouche, Gilles, Manceau, Célia, Crétolle, Erik, Hervieux, Noémie, Girard, Agathe, Seguin-Givelet, Sebastien, Gaujoux, Belinda De Simone, Matthieu, Boisson, Damien, Bergeat, Fabien, Fredon, Francesco, Nappi, Radwan, Kassir, Aurélien, Scalabre, Federico, Migliorelli, Anne-Cecile, Ezanno, Barbara, Seeliger, Charlotte, Vaysse, Helene, Charbonneau, Vincent, Misrai, Olivier, Abbo, Martina Aida Angeles, Laurent, Brunaud, Ali, Modabber, Sebastian, Wolf, Carsten, Kamphues, Philipp, Höhn, Tim, R Glowka, Alexander Christopher Rokohl, Ulrich, Bork, Georg, Fluegen, Raymund, E Horch, Andrea, Schmedding, Andreas, Schnitzbauer, Helge, Eberbach, Daniel, Schlager, Fritz, Spelsberg, Lena, Keppler, Andreas, Hecker, Susanne, Wolfer, Ulrich, Ronellenfitsch, Christine, Nitschke, Christian, Peiper, Ibrahim, Hakami, Stefan, Welter, Karine, Nikolaieva, Andreas, Roth, Judith, Lindert, Konstantinos, Gousias, Anke, Rissmann, Valerie Catherine Linz, Nuh, Rahbari, Marie-Claire, Rassweiler-Seyfried, Anna Eleonora Gut, Jens, Gempt, Daniel, Reim, Arthur, Wagner, Alexander, M Keppler, Mircea Gabriel Stoleriu, Tim, Saier, Josef, Stadler, Julia Christina Kaiser, Stefan, M Brunner, Karin, Pfister, Jonas, Herzberg, Kai, Nowak, Tobias, Reinhard, Gregor, A Stavrou, Alfred, Königsrainer, Christian, Konrads, Markus, Quante, Simon, Laban, Silke von Pusch, Markus, Hirschburger, Johannes, Doerner, Armin, Wiegering, Ekaterini Christina Tampaki, Alitza Gutiérrez Ruiz, Alejandra, Rodas, Ana Lucía Portilla, Jacqueline, Carrera, Amalia Barrios Duarte, Megan, Lowey, Sabrina, Barillas, Atul, Suroy, Dhaivat, Vaishnav, Raghunandan Gorantlu Chowdappa, Irappa, Madabhavi, Dhananjaya, Bhat, Sunil Kumar Venkatappa, Sumit, Thakar, Kavitha, Jain, Aruna, Kumar, Manoj, Nagar, Tushar, Mishra, Arunkumar, Sekar, Anand, Gupta, Lileswar, Kaman, Madhivanan, Karthigeyan, Manjul, Tripathi, Ashwin, Rammohan, Sudheer Othiyil Vayoth, Anupama, Rajanbabu, Anbukkani, Subbian, Rahul, Gupta, Monish, Raut, Nissi, Evelyn, R Lavanya Kannaiyan, Anil, Matai, Sanjeev, Misra, Vishal, Bhende, Sathish, Muthu, Indranil, Ghosh, Abhishek, Sharma, Ankur, Bajaj, Shiv, Rajan, Gaurav, Agarwal, Pranay, Pawar, Philip, Alexander, M Vijayakumar Vijayakumar, Zeeshan, Hameed, Badareesh, L, Navneet Kumar Chaudhry, Lipika, Baliarsing, Satish, Dharap, Amruta, Kulkarni, Yuvaraja, Thyavihally, Rahul Deo Sharma, S Pramesh, C, Rajesh, Soni, Surya Kumar Dube, Shilpa, Sharma, Harvinder, Singh, Lovenish, Bains, Rahul, Ghodke, Ashwani, Kumar, Vivek, Sodhai, Suvendu, Maji, Somprakas, Basu, Chandrashekhar, Mahakalkar, Ravi, Kannan, Asif, Mehraj, Ranganath, N, Ashish, Phadnis, Yadev, I, Alfie, Kavalakat, Rohin, Mittal, Karthik Chandra Vallam, Hamed, Akhavizadegan, Esmaeil Rezghi Maleki, Naser Yousefzadeh Kandevani, Hilary, Ikele, Catherine, Mcnestry, Christina, Fleming, Stephen, O'Brien, Sami Abd Elwahab, Niall, Davis, Mohsen, Javadpour, Brendan, Mcdonnell, Clare, O Connor, Jarlath, Bolger, Cillian, Clancy, Stefanie, M Croghan, Noel, Donlon, Carolyn, Cullinane, Ben, Creavin, Muheilan, Muheilan, Helen, Earley, Syed Mohammad Umar Kabir, Muhammad, Fahadullah, Éanna, Ryan, Tara, Connelly, Daisuke, Hashimoto, Majdi Ali Alqudah, Amer, Alajalen, Rand, Y Omari, Abdulrahman, Qasem, Yazan, Alawneh, Amer, Ahmad, Omar, Aladawi, Bourhan, Alrayes, Hanan, Haidar, Shatha, Husain, Faisal, Qassem, Adnan, Sumadi, Ala'a Abu Salhiyeh, Balqees Mahmoud Al-Manaseer, Zaid, Alsunna, Hazim, Ra'Ed, Faten Reyad Bani Hamad, Amro, Abuleil, Elmi Ahmed Mohamed Jimaale, Marah, Abu-Mehsen, Noor, Olaywah, Omar, Wafi, Hazim, Ababneh, Luai, Abu-Ismail, Almu'Atasim, Khamees, Ahmad, Alkhatib, Raikhan, Bolatbekova, Mukhtar, Kulimbet, Talgat, Nurgozhin, Timur, Saliev, Baurzhan, Zhussupov, Ydyrys, Almabayev, Dilyara, Kaidarova, Khalil, Tamoos, Ahmed, Aqeelah, Alsnosy Abdullah Khalefa Mohammed, Faraj Al Maadany, Ghadah, Alkadeeki, Milad, Gahwagi, Wafa, Aldressi, Mohamed, Amnaina, Arowa Hassan Abdulrahman Alansari, Akram, Alkaseek, Ghozlan, Yagoub, Anass Ben Amer, Marwa, Salem, Ayman, Almugaddami, Dania, Burgan, Mohammed, Abdelkabir, Khayriyah, Alshareef, Rayet Al Islam Ben Jouira, Ayman, Meelad, Ahmad, Bouhuwaish, Sumayya Essayah Dwaga, Houda, Khalifa, Bushray, Almiqlash, Taha, Suliaman, Mohammed, Alawami, Fras, Elhajdawe, Hajir, Aboazamazem, Ibrahim, Ellojli, Ahmed, Msherghi, Ismail Ali Saleh, Mohammed, Alayan, Marcel Didier Ndayishyigikiye, Akutu, Munyika, Philipp, Plarre, David, W Borowski, Cameron, Wells, Rebecca, Teague, Brodie, Elliott, David, Kieser, Omar, Mohyieldin, Nick, Mcintosh, Cheyaanthan, Haran, Jasmin, King, Jeong, Ha, Matthew James McGuinness, Opeoluwa, Adesanya, Julius, Olaogun, Akinola, Akinmade, Kefas, Bwala, Peter, Agbonrofo, Akinwale, Afolabi, Usang, Usang, Sebastian, Ekenze, Samson, Olori, Taiwo Akeem Lawal, Abiodun, Okunlola, Stephen, Kache, Danjuma, Sale, Lofty-John, Anyanwu, Chukwuma, Okereke, Musliu Adetola Tolani, Venko, Filipce, Lazar, Todorovic, Sotir, Stavridis, John George Massoud, Sareyah, Alsibai, Rizwan, Sultan, Humera Naz Altaf, Abu Bakar Hafeez Bhatti, Shahzad Hussain Waqar, Aliya, Aziz, Asad Ali Kerawala, Lajpat, Rai, Mariyah, Anwer, Aiman, Tariq, Bushra, Ayub, Sami Ullah Niazi, Muhammad Yasir Naseem, Muhammad Zeeshan Sarwar, Muhammad Imran Khokhar, Imdad Ahmad Zahid, Haroon Javaid Majid, Nabila, Talat, Muhammad, Asif, Muhammad Hamid Chaudhary, Umer, Farooq, Siddique, Ahmad, Waleed, Mabood, Syed Imran Bukhari, Muhammad, Tariq, Eesha, Yaqoob, Saad, Javed, Muhammad Usman Malik, Hassan Nawaz Yaqoob, Glenda Marina Falcon Pacheco, Robinson Mas Melendez, Arazzelly Del Pilar Paucar Urbina, Jose Rios Chiuyari, Carlos Eduardo Otiniano Alvarado, Lorena Fuentes Rivera Lau, Giuliano, Borda-Luque, Milagros, Niquen-Jimenez, Claudia, Arias, Sergio, Zegarra, Jenner Betalleluz Pallardel, Regina Amparo Ugarte Oscco, Gian, Mendiola, Yahaira Tatiana Carpio Colmenares, Carlos Shiraishi Zapata, Maria Rosa Ortiz, Filipe Castro Borges, Octavio, Viveiros, Pedro, Serralheiro, Paulo, Santos-Costa, Filipa, Mendes, Miguel Rocha Melo, Paulo, Cardoso, Ana, Soares, Rita Gonçalves Pereira, Nelson, Silva, André, Caiado, Maria Luís Sacras, Pedro, Azevedo, Rui, Almeida-Reis, João, Oliveira, Jorge, Nogueiro, Mafalda, Sampaio-Alves, Luciana Cidade Costa, Catarina, Baía, Ana Cláudia Deus, Rita, Branquinho, André, Marçal, André, Tojal, Silviu Tiberiu Makkai-Popa, Aurel, Mironescu, Florin, Grama, Elena Adelina Toma, Daniela, Filipescu, Nicolae, Bacalbasa, Natalia, Motas, Sebastian, Ionescu, Octav, Ginghina, Radu, Costea, Narcis Octavian Zarnescu, Radu, Drasovean, Mihail-Gabriel, Dimofte, Vlad, Porumb, Mikhail, Kirov, Yegor, Molitvin, Vadim, Pykhteev, Marianna, Raevskaya, Aleksandr, Butyrskii, Mushabab, Alshahrani, Azah, Althumairi, Nasser, Alzerwi, Ahmed Al Ameer, Tariq, Madkhali, Abddulrahman Saleh Almulhim, Salman, Ghazwani, Abdu, Ayoub, Othman, Iskander, Mohammed, Ghunaim, Mohammed, Alharthi, Turki, M Alzaidi, Mohammad, Alyami, Abdulrahman Al Amri, Abdullah, Alfakhri, Amal, Alhefdhi, Sharfuddin, Chowdhury, Thamer, Nouh, Ameen, Alshehri, Abdulrahman, Alzahrani, Yousef, Alalawi, Selmy, Awad, Ibrahima, Konate, Jacques, Tendeng, Nan Zun Teo, Sabra, Aqil, Cristina Barrena López, Ana Sánchez Mozo, Antonio Rodriguez Infante, Patricia Caja Vivancos, Mikel, Prieto, Igor Alberdi San Roman, Laura Gomez Fernandez, Josep Maria Muñoz Vives, Anna, Carreras-Castañer, Berta, Díaz-Feijoo, Ramon, Sieira-Gil, Victor, Turrado-Rodriguez, Anna Sánchez López, Santiago, Sánchez-Cabús, Marta Jimenez Toscano, MªPilar Canals Sin, Saura García Laura, Oriol Martin Sole, Pedro Palazon Bellver, Sonia, Pérez-Bertólez, Jordi, Prat-Ortells, Mireia Riba Martínez, Josep, Rubio-Palau, Xavier, Tarrado, Jorge, Nuñez, Veronica Alonso Mendoza, Coro, Bescós, Eloy, Espin-Basany, Martin, Espinosa-Bravo, Daniel, Gil-Sala, Susana, González-Suárez, Nuria Montferrer Estruch, Lucia Porteiro Mariño, Ana, Rodríguez-Tesouro, Fabian Rojas Portilla, M Pilar Tormos Pérez, Inmaculada, Vives, Unai Garcia De Cortazar, Kiara, Tudela, Aitor, Landaluce-Olavarria, Mercedes Estaire Gómez, Jorge, Almoguera, Bakarne, Ugarte-Sierra, Virginia, Jimenez, Marta, Bertrand, Laura Cárdenas Puiggrós, Olga, Delisau-Puig, Jorge, Garcia-Adamez, David Julià Bergkvist, Eloy, Maldonado-Marcos, Lucia Diego García, Marta Roldón Golet, Iván, Soto-Darias, Aida Cristina Rahy-Martín, Diego, Enjuto, Adolfo, Ramos-Luengo, Juan Delgado Fernandez, Carolina Lugo Duarte, Cristina Ojeda Thies, Lucila, Marquez, Diana Crego Vita, Jana, Dziakova, Jorge Caño Velasco, Olga, Mateo-Sierra, Begoña, Quintana-Villamandos, Cristina Rey Valcarcel, Javier, Rio, Laura Román García de León, Marcello Di Martino, Jorge, Prada, Javier Serrano González, Manuel, Losada, Jose Tomas Castell Gomez, Ramon, Corripio-Sanchez, Alexander, Forero-Torres, José Manuel Morales-Puebla, Hanna, Perez-Chrzanowska, Santiago Valderrabano Gonzalez, Alvaro, Yebes, Ignacio, Zapardiel, Manuel Diez Alonso, Nelson Morales Palacios, Alberto Cabañero Sánchez, Fátima Sánchez Fernández, Alfredo Abad Gurumeta, Ane, Abad-Motos, Fernando, Corella, Javier, Ripollés-Melchor, Rosa, Sanz-Gonzalez, Marta Alcaraz Fuentes, Maria Teresa Fernández Martín, Pablo Calvo Espino, Milagros Carrasco Prats, Antonio-José, Fernández-López, Damián García Escudero, Vanesa Garcia Soria, Jesús Aarón Martínez Alonso, Miguel, Ruiz-Marín, Beatriz Gómez Pérez, Joaquin, Moya-Angeler, Daniel Fernández Martínez, Heura Llaquet Bayo, Enrique, Colás-Ruiz, Susana Bella Romera, M Teresa Gavaldà Pellicé, Misericòrdia Jordà Solé, Enrique Jose Ruiz Velasquez, Bernardo, Núñez, Raul, Jimenez, Jon, Zabaleta, Maria Jose González-Gimeno, Irene Ortega Vázquez, Antonio Perez Ferrer, Rubén, Martín-Láez, Marcelo Moreno Suarez, Miguel Angel Freiria Eiras, Irene, Ramallo-Solís, Juan-Carlos, Gomez-Rosado, Jose Ramon Oliver Guillen, Mar Achalandabaso Boira, Juan Carlos Catalá Bauset, Julio, Domenech, Rafael, Badenes, Juan Carlos Bernal-Sprekelsen, Jorge, Sancho-Muriel, Beatriz De Andrés-Asenjo, Francisco, J Tejero-Pintor, Marc, Vallve-Bernal, Alba Vazquez Melero, Laura Sánchez Blasco, Jorge, Escartin, Victoria Duque Mallén, Selvaratnam, Srishankar, Charitha, Sooriyabandara, Oshan, Basnayake, Nalaka, Gunawansa, Prabuth Dulanjan Weeraddana, Thanusan, Vimalakanthan, Shanthamoorthy, Gishanthan, Pramodh, Chandrasinghe, Marc-Olivier, Sauvain, Ahmad, Ghazal, Yusra, Al-Sabbagh, Turki, Alhassoun, Sara Maa Albared, Antoine, Naem, Hareth, Alnahr, Ghassan, Jisry, Ali, Hammed, Okedi Francis Xaviour, Gaston, Turinawe, Isaac, Mubezi, Franck, K Sikakulya, Andrew, Kakeeto, Wilberforce, M Kabweru, Ronald, Kiweewa, Paul, 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Amanda Lira Dos Santos Leite, Laercio, Pol-Fachin, Tainá Santos Bezerra, Alcimar Lavareda Dos Santos Junior Alcimar, Robson, Amorim, Maria Eduarda Bellotti Leão, João José Corrêa Bergamasco, Cintia Cardoso Pinheiro, Rubem Alves Da Silva Neto, Elaine Francisca De Araújo, Lilian, Guimaraes, Tatiana, Liborio-Kimura, Isabelle Melo da Camara, Victor Ripardo Siqueira, Juan, Rodriguez, Jeancarllo, Silva, Rubem Alves Silva Junior, Cláudio, Cardoso, Andre, Guimaraes, Wislene Sarajane Moreira Alves, Agna Soares Da Silva Menezes, Marcelo, Araujo, Kattiucy, Brito, Josie Marcelle Lira Albuquerque, Jairo Alberto Dussan-Sarria, Andressa, Souza, Andre Ricardo Stüker, Tiago, Bresciani, Luciana Cadore Stefani, Leandro Totti Cavazzola, Tainá, Costa, Matheus, Dasqueve, Gustavo De Bacco Marangon, Otávio Ritter Silveira Martins, Josy, Rodrigues, Guilherme Roloff Cardoso, Brasil Silva Neto, Tilaê, Soares, Aline, Zanella, Lucas Torelly Filippi, Enilde Eloena Guerra, Ricardo Pedrini Cruz, Antonio Nocchi Kalil, Gustavo, Laporte, Moacyr, Salem, Murilo de Lima Brazan, Caio Antonio de Campos Prado, Elaine Christine Dantas Moises, Hilda Satie Suto, Alice Gadotti Yasuda, Ana Carolina Tagliatti Zani, Roberto Cardoso Cardoso Dos Santos, Geraldo, Duarte, Edwaldo Edner Joviliano, Carolina Lourenço Gomes Dos Santos, Silvana Maria Quintana, Edwin, Tamashiro, Fabiana Cardoso Pereira Valera, Marília Veccechi Bijos Zaccaro, Isis, Andreotti, Leonardo, Lima, Wilson Salgado Jr, Alonço da Cunha Viana Júnior, Lana, Moutinho, Cora Pichler de Oliveira, Isabela Trindade Martins, Isabela Vieira Toledo, Marco Antonio Correa Guimaraes-Filho, Rodrigo, Arrivabeno, Claudio Bovolenta Murta, Danniel Frade Said, Jose Pontes Junior, Felipe Guimarães Pugliesi, Paulo, Gregorio, Alessandro, Mariani, Fabio, Minamoto, Juliana Lourenço da Silva, Bruno, Muller, Caio, Zanon, Vladimir, C Carvalho, Ana Lucia Munhoz Lima, Priscila, R Oliveira, Jorge Dos Santos Silva, Mariana Faccini Teixeira, Marco, Kulcsar, Leandro, Matos, Kamilla Schmitz Nunes, Joel Abdala Junior, Emne, Abdallah, Genival Barbosa Carvalho, Igor Correia de Farias, Cassia da Silva, Fabio Fernando Eloi Pinto, Luciana, Facure, André, Godoy, Bruna, Kupper, Fernanda, Leite, Matheus de Melo Lôbo, Henrique, Mantoan, Narimã, Marques, Tomas, Marques, João Paulo Medici, Silvio Melo Torres, Katheryne Merlos Garcia, Rafael Ribeiro Meduna, Ana Carolina Scintini Herbst, Silvana Soares Dos Santos, Bruna Tirapelli Gonçalves, Marcelo, Antonini, Carolina, Brienze, José Francisco Farah, Rodrigo, Gonçalves, Vinicius, Machado, Luis Roberto Nadal, Danilo Nadal Rodrigues, Adrieli, Pansani, Maria Luiza Rocha, Marcelo, Simonsen, Daniela, Tsuchiya, Rafaela, Vasques, Jorge, Amorim, Ana Alyra Carvalho, Rebeca, Correia, Brena Costa Dos Santos, Henrique Jorge Guedes Neto, Luis, Nakano, Mariana, Pereda, Vladimir, Vasconcelos, Jamile Barakat Awada, Guilherme, Gava, Tiago Riuji Ijichi, Nam Jin Kim, Rafael, Nunes, Fabio, Pinto, Thiago Henrique Sigoli Pereira, Gustavo Jardim Volpe, Arthur, Gatti, Caroline, Nardi, Ramon, Oliva, Layze Braz de Oliveira, Herica Emilia Félix de Carvalho, Ivonizete Pires Ribeiro, Gabriel Renan Soares Rodrigues, Álvaro Francisco Lopes de Sousa, Michel, Chebel, Paulo Henrique de Sousa Fernandes, Marcelo Augusto Faria Freitas, Juliano Rodrigues da Cunha, Zeenia, Ather, Dobromir, Dimitrov, Emil, Filipov, Elitsa, Gyokova, Ivelina, Ilieva, Tsvetomir, Ivanov, Martin, Karamanliev, Vasil, Neykov, Boyko, Atanasov, Nikolay, Belev, Paolina, Kamenova, Kaloyan, Tonev, Tsanko, Yotsov, Evguenia, Hristova, Kolyo, Spassov, Tsanko, Tsankov, Dragomir, Dardanov, Petar, Gribnev, Manol, Sokolov, James, Brown, John, Tanyi, Heather, Hurdle, Anthony, Maclean, Michael, Sander, Salim Al Riyami, Krittika, Bali, David, Bigam, Khaled, Dajani, Mehran, Anvari, Rafik, Bolis, David, Choi, Susan, Ellis, Michael, Gupta, Wael, Hanna, Dennis, Hong, Cynthia, Horner, Lea, Luketic, Peter, Moisiuk, Yaron, Shargall, Hilda, Alfaro, Nawar, Alkhamesi, Laura, Allen, Muriel, Brackstone, Eunice, Chan, Davy, Cheng, Jason, Chui, Nelson, Gonzalez, Brent, Lanting, S Danielle MacNeil, Robert, Mayer, Jacob, Mcgee, Mahesh, Nagappa, Nicholas, Power, Agya, Prempeh, Mehdi, Qiabi, Hassan, Razvi, Emil, Schemitsch, Herman, Sehmbi, Ushma, Shah, Yamini, Subramani, Edward, Vasarhelyi, Kelly, Vogt, Homer, Yang, Ali Ghorbani Abdehgah, Saba, Balvardi, Liane, Feldman, Julio Flavio Fiore Jr, Melissa, Hanson, Brent, Hopkins, Pepa, Kaneva, Lawrence, Lee, Julia, Leonard, Jad, Abou-Khalil, Andre, Martel, James, Stevenson, Susan, Lee, Richard, Merchant, Samuel, Avoine, Laurence, Belanger, Mathieu, Belanger, Etienne, Belzile, Anne-Sophie, Blais, Sofia, Boucher-Kovalik, Cindy, Boulanger-Gobeil, Etienne, Cardinal, Pierre-Olivier, Champagne, Jonathan, Cloutier, Simon, Corriveau-Durand, Mathieu, Cote, Maxime, Cote, Mathilde, Côté, Valérie, Courval, Suzanne, Demers, Christine, Desbiens, Mehdi El Ouazzani, Karine, Girard, Ève-Marie, Girard, Karo, Gosselin, Helene, Khuong, Nathalie, 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Philemon, Leung, Andrew, Lindberg, Juan Mata Gutierrez, Kelly, Mayson, Adam, Meneghetti, Drew, Phillips, John, Street, Carolina Carvajal Calderón, Daniel Alejandro Donoso Pizarro, Esteban, Fernández, Ángela, Molero, Nastassja, Mutarello, Jorge Núñez Lucic, Katherine Ochoa Gaete, Catalina Ruiz Lopez, Rina, Sepúlveda, Camila, Ulloa, Mauricio, Barreda, Matias, Dallaserra, Matías Günther Wood, Mauricio Sandoval Tobar, Francisco, Garcia-Huidobro, Jimena, Dona, Carolina Soto Diez, Daniel, Igor, Javier, Mena, José Tomás Reyes, Catalina Arredondo Soto, Jose, Campos, Javier, Gonzalez, Barbara, Rivera, Jaime, Altamirano-Villarroel, David, Cohn, Luis Marin de Amesti, Pedro, Recabal, Camilo, Sandoval, Bruno Catoia Fonseca, Monica, Contador, Andres, Hodali, Camila, Pincheira, Andrea Ramos Mantilla, Claudio Salas Garrido, Janina, Torres, Marco, Valenzuela, Zehua, Chen, Jiankun, Hu, Jin, Tao, Kun, Yang, Yuexin, Zhang, Yuan, Chen, Wang, Cunchuan, Wah, Yang, Xueli, Bai, Tingbo, Liang, Tao, Ma, Ning, Pu, Hanlin, Yin, Camilo, Caicedo, Diego Felipe Tellez Beltran, Alejandro, Escobar, Carolina Perez Granados, Lisbeth Alexandra Urueña Pinzon, Carlos, Bonilla, Diana, Santana, Oscar, Serrano, Andrea, Garcia, Fernando Giron Luque, Nasly, G Patino-Jaramillo, Laura Giselle Contreras Baquero, Nestor Augusto Muñoz Botero, Jhoana Andrea Murillo Castellanos, Andrea Juliana Vega Calvera, Lina, M Acosta Buitrago, Maria Paz Bohórquez-Tarazona, Paulo Andrés Cabrera Rivera, J Felipe Casas, Valeria Cormane Alfaro, Julian, Corso, Bayron, Guerra, Albert Franz Guerrero-Becerra, Akram Kadamani Abiyomaa, Felix Ramon Montes, Manuel Santiago Mosquera Paz, Camilo Andrés Polanía Sandoval, Natalia, Quintana, Carlos Fernando Roman Ortega, Carlos, Santacruz, Manuela, Téllez, Camilo Alejandro Velandia Sánchez, Fernando, Arias-Amézquita, Luis Felipe Cabrera Vargas, Natalia Cortes Murgueitio, Elkin, Escorcia, Kemel Ahmed Ghotme Ghotme, Jorge Luis Gomez-Mayorga, Alvaro Felipe Guerrero Vergel, Gabriel, Herrera-Almario, Eduardo, Londono-Schimmer, Juan, A Mejia, Guillermo, Monsalve, Camilo, Rodriguez, Juan Nicolas Rodriguez Niño, Luis Martín Rodríguez Ortegón, Daniel, Sanabria, Andres, Alvarez, Arnulfo, Andrade, Javier, Ardila-Montealegre, David, Baquero, Edgar Mauricio Barrios Vidales, María Alejandra Caicedo Giraldo, María Camila Carvajal, Maria, Castillo, Maria Carolina Castillo Florez, María Angelica Cendales, Danny Conde Monroy, Henry, Cortes, Mario, Daniel, Jairo De la Peña, Elena Leonor Delgado-Nieto, Hernando, Espitia, Carlos Figueroa Avendaño, Edgar Oswaldo Hernandez Burgos, Andres, Isaza-Restrepo, German, Londono, Margarita Maria Maldonado, Andrea, Montenegro, Juan Carlos Navarro, Jorge, Navarro-Alean, Katherine Parra Abaunza, Eliana, Pulido, Erika, M Ramírez Amaya, Carlos Eduardo Rey Chaves, Natalia Andrea Rivera Rincón, William Mauricio Riveros Castillo, Lizeth Rodriguez Sanchez, Wilson, Rubiano, Maria, Russi, Juan Carlos Sabogal Olarte, Javier Mauricio Salgado Tovar, Maria Juliana Sanchez, David Mauricio Solano Varela, Paula Torres Gomez, Marcial, Trillos, Ana María Vargas Patiño, Felipe, Vargas-Barato, Juan Pablo Villate Leon, María Alejandra Wagner Useche, Jesus, Acosta, Adriana, Almeciga, Luis Becerra Mendez, Rafael Jose Beltran, Ana, Bonilla, Miguel, Buitrago, Marino, Cabrera, Pedro Hernando Calderon Quiroz, Diego, Camacho-Nieto, Carlos Andrés Carvajal Fierro, Sergio Cervera Bonilla, Sandra, Diaz, Helena, Facundo, Jorge, Forero, Mauricio Garcia Mora, Karena Victoria Garcia Tirado, German Fabian Godoy Perez, Felipe, Gonzalez, Oscar, Guevara, Jairo Alonso Hernandez, David Ricardo Herrera Mora, Juan David Lalinde, Carlos, Lehmann, Eduardo Leon Llanos, Byron Eduardo Lopez De Mesa Lopez, Ivan, Mariño, Monica, Medina, Raúl Eduardo Pinilla Morales, Angela, Puerto, Andrea, Quintero-Ortíz, Juliana Rendón Hernández, Elio Fabio Sánchez Cortés, Alvaro Eduardo Sánchez Hernández, Raul, Suarez, Oscar, Suescun, Marco, Vanegas, Rodolfo, Varela, Jorge Luis Velez Bernal, David, Viveros-Carreño, Daniela Camargo Gómez, Angelica, Fletcher, Abel, Merchan, Euler Javier Burbano Luna, Indira, Cujiño, Mauricio Velasquez Galvis, Lina Maria Vergara Galliadi, Orlando Abonia Gonzalez Abonia Gonzalez, Maria Fernanda Acuna Saravia, Roberto, Arroyave, Jose Maria Barreto Angulo, Francisco Javier Bonilla-Escobar, Uriel, Cardona, Ivan Castañeda Giacometto, José Luis Castillo, Diego Fernando Castillo-Cobaleda, Diego Jose Caycedo Garcia, Brenda Marcela Coll Tello, Juan Carlos Dueñas-Ramirez, Oscar Andres Escobar Vidarte, Luis, Figueroa, Herney, Garcia-Perdomo, Alden, Gomez, Laura, Gomez, Alejandro, Gomez, Ana María Grande-Gil, David, Guarin, Natalia, Guzman, Enrique Herrera Castañeda, Marisol, Hinaoui, Anuar Armando Idrobo Escobar, Christian Kammerer Kammerer, Sergio, Leon, Carlos Antonio Llanos Lucero, Angie, López, Alexander Maximiliano Martinez-Blanco, Antonio José Montoya Casella, Ricardo Andres Niño Corredor, Sebastian, Ordoñez, Diego Alfredo Palta Uribe, 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Alvarez, Cesar David Galindo Regino, Angela Maria Giraldo Velasquez, Carlos Enrique Melo Moreno, Jorman, H Tejada, Jesus Hernan Tovar, German Alirio Tovar, Edison Alexander Benavides Hernández, Claudia Milena Orozco-Chamorro, Gustavo Adolfo Angel, Christian Ali Buesaquillo, Victor David Olave Montaño, Andrés, Sánchez-Gómez, Daniela Patricia Escalante Ureche, Jairo Martinez Garrido, Eben-Ezer, Genda, Fabrice, Eboma, Kristina, Bitunjac, Karlo, Grulović, Marijana, Vučković, Goran, Šantak, Emanuel, Borovic, Ana Bosak Versic, Damir, Hasandić, Natasa Poldan Grabar, Suzana Srsen Medancic, Lucija, Brkic, Sara, Cokarić, Petra Pavic Palac, Zeljka, Samac, Josipa, Tomić, Marija, Vrdoljak, Ivan, Bacic, Bernarda, Bakmaz, Nikolina Bratošević Vučičić, Domagoj, Brzic, Samir, Canovic, Emilio, Dijan, Maja Grgec Dragicevic, Robert, Karlo, Suzana, Konjevoda, Petra, Kovačević, Ivan, Kovačić, Frane, Markulić, Luka, Matak, Domagoj, Morović, Gordan, Perišić, Andrea, Simic, Neven, Skitarelić, Matea, Veršić, 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Ioanna, Pozotou, Olga, Stavrinidou, Anneza, Yiallourou, Lukáš, Burda, Michal, Dosoudil, Lubomir, Martinek, Wladyslaw, B Gawel, Milan, Lerch, Matúš, Peteja, Jan, Žatecký, Toman, Daniel, Martin, Formánek, Veronika, Javurkova, Markéta, Kepičová, Nicole, Macečková, Petr, Matousek, Ondrej, Simetka, Petr, Vavra, Karol, Zelenik, Jan, Černý, Sami, Khan, Robert, Lischke, Martin, Přibyl, Temoore, Younus, Yenuksha, Amarasena, Karel, Klíma, Setareh, Pirmorad, Zuzana, Hotová, Aleš, Mladěnka, Nulvin, Bozo, Julie Lykke Harbjerg, Louise, Hviid, Helle, Ø Kristensen, Mira, Mekhael, Mette Fugleberg Nielsen, Laerke, Paulsen, Saija, Sinimäki, Louise Zinck Mogensen, Peter, Bonde, Anders Lyng Ebbehøj, Anne-Sophie, Fenger, Aleksander Fjeld Haugstvedt, Christine Hangaard Hansen, Maria Lovisa Jönsson, Lars, N Jorgensen, Peter-Martin, Krarup, Anne-Louise, Lihn, Christian, Meyhoff, Helena, Otte, Anas Ould Si Amar, Henrik, Palm, Nis, Schlesinger, Henry, Smith, Ida, Tryggedsson, Anne Reiss Axelsen, Jens Kristian Baelum, Mark Bremholm Ellebaek, Signe Bremholm Ellebaek, Anders, Hogh, Maria, Acosta, Yancy, Acosta, Pedro, Baez, Luis Alfredo Betances, Luis Rodolfo Bonilla, Daniel, Cabreja, Wilton Cabrera Cruz, María Mabel Collado Expósito, Aldo, Crespo, Octavio, Cruz-Pineda, Claudio Samuel D'óleo García, Pedro, Díaz, Remberto, Escoto, Jatnna, Figueroa, Luis, Garcia, U Garcia-Dubus Rodriguez, Humberto, Gomez, Adrian, Grullon, Fatherin, Guerrero, Lillian, Guzman, Thelma Rocío Jiménez Mosquea, Engels, Lazala, Ariela, Lopez, Leeany Maletta Francisco, Jhomayri, Mercado, Herisardy, Munoz, Jeffrey, Paulino, Maricely Ambar Perez Fernandez, Rudeily, Reyes, Lilia Rosa Reyes Guilamo, Ruben, Rivas, Claudia Alejandra Rivas Torres, Ada, Rodríguez, Madelin Tamar Rosario Villa, Eleazar, Santana, Joel, Soto, Nassin, Tactuk, Cristina Kristel Tonos Sardiñas, Raul, Ubinas, Jose, Victoria, Aaron, Villegas, Ricardo, Acra-Tolari, Larissa, Beltran, Luis Fernand Betances, Alejandro, Blaubach, Denisse Idalia Campos Mejía, Nathalia, Capellan, María Fernanda Cedeño Bruzual, Saray Cordero Spencer, Gabriella Cuevas Lantigua, Luis De Jesus, Gabriela, Díaz, Pedro Pablo Díaz Vásquez, Karla, Disla, Jesús Antonio Echavarría Uceta, Paola Irina Eusebio Jimenez, Damaris, Fernandez, Marlin Fernandez Camilo, Jiomar Manuel Figueroa Germosen, Maruel, Fortunato, Leyla Gabriel Fernández, Alicia German Dihmes, Héctor, Herrera, Elizabeth Leon Cuevas, Jose Alejandro Mata, Mirian Mateo De La Cruz, Dolores Mejia De la Cruz, Marcos, Mirambeaux, Fabio Ortiz De La Cruz, Henry, Paulino, Gabriela, Pelletier, Merycarla, Pichardo, Rodriguez Pumarol Próspero Enrique, Julio, Rivas, Ann Stephany Sanchez Marmolejos, Roman Santana Santana, Irina Suero Almanzar, María Magdalena Vásquez Sánchez, Nicolás, Campuzano, José Ricardo Negrete Ocampo, Maria, Armas, Alvaro Santiago LeMarie Guerra, Gustavo León Vizcaya, Omar Ahmed Abdelwahab, Ahmed, O Elmehrath, Mohammed Ezzat Mostafa, Gamal, Amira, Ibrahim, Sallam, Mohamed, Sherief, Ahmed, 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Maher, Hosain, Ahmed, Hossam, Hamza Hussein Aly Salama Aly, Mohamed, Ibrahim, Abdelrahman, Ibrahim, Nourhan, Ibrahim, Noha Mohamed Salah Ibrahim Moussa Hamouda, Monica, Iskander, Islam, Khalifa, Mostafa, Kotb, Nada, Mahmoud, Alaa Mahmoud Abo Shabana, Nora, Mamdouh, Maram, Metwalli, Khaled, Metwally, Mahmoud, Moghazy, Moustafa, Mohamed, Mohamed, Mourad, Esraa, Moustafa, Kamilia, Mubarek, Nour Eldin Nader, Ahmed, Nasser, Samaa, Omar, Mostafa Shehata Qatora, Mohamed, Ragab, Marawan, Ragal, Dina, Ramadan, Rana, Ramadan, Sara, Ramadan, John, Romany, Ahmed, Sabry, Yasmeen, Said, Sara, Salamah, Ahmed Mostafa Saleh, Mona Saleh Mesbah Mohamed Elkaffas, Alaa, Salem, Hashem, Salim, Ahmed, Samih, Ahmed Samir Abdelaal, Ahmed, Shaheen, Yassmeen Sharafeldin Mohammed, Abdelrahman, Shehata, Mohamed, Shemeis, Karim, Shenit, Mennatallah, Sheta, Asmaa, Soffar, Yousef, Tanas, Ahmed, Tarek, Nermin, Yehia, Omar Khaled Mohamed Eid, Ammar Yasser Abdulfattah, Ahmed, Elsaghir, Mohamed Fouad Elganainy, Omar Ibrahim Elsayed, Omar, Elmandouh, Omar, Hamam, Mostafa Ahmed Shehata, Areej, A Abdelaziz, Ahmed, M Abbas, Wael Abd El-Ghani, Hossam Aldein, S Abd Elazeem, Mustafa Abd Elsayed, Ahmed Yassien Abd-Elkariem, Shimaa, Abdalla, Mahmoud, Abdel-Aleem, Khaled, Abdelazeem, Mahmoud, Abdelfattah, Mohammed, Abdelhafez, Mohamed, M Abdelkarem, Ali, Abdelraouf, Lamess, Abdullaha, Hossam, Abubeih, Moaiad Eldin Ahmed, Nagm Eldin Abu Elnga Ahmed, Ahmed, Ahmed, Sarah Ahmed Saad, Sherif, Alaa, Ali, Alhussaini, Abdelrahman Ahmed Abdelrahman Ali, Ibrahim, Ali, Wagdi, Ali, Mohamed Ali Mohamed, Mohamed, Ashraf, Muhammad, Bassiouni, Mohamed, G El-Adawy, Mohammad, El-Sharkawi, Hussein, Elkhayat, Khaled, Elmaghraby, Shady, Elsdfy, Mohamed, Elsharkawy, Almoutaz, Eltayeb, Mohamed Esmat Mohamed, Esraa, Essam, Mahmoud, Fahd, Osama, Farouk, Rabea, Gadelkareem, Ahmed, Ghoneim, Mohammed Hamada Takrouney, Ahmed, Hamdan, Abd El-Rahman Hamed, Ahmad, Hasan, Mohamed Abdelghafor Hassanin, Islam, Hawal, Kerollos, Henes, Mohamed Omar Herdan, Helal, F Hetta, Omar, Ibrahem, Mostafa, Ibrahim, Islam, H Ibrahim, Mahmoud, Kamel, Mohamed, Khallaf, Shrouk, M Elghazaly, Abobakr, Mahfouz, Osman, Mahmoud, Wesam, Mahran, Doha, Mahrous, Abadeer, Marsis, Ayman, Mohamed, Aliae Mohamed Hussein, Amr Mohamed Sayed, Mahmoud, M Mohammed, Ahmed, Mokhtar, Fatma, A Monib, Ahmed, Nageeb, Mariam Albatoul Nageh, Mohammed, Nageh, Nehal Gamal Omar, Abdelrahman, Ragab, Abdelrahman, Ramadan, Abdallah Rashad Temerik, Aya, Sabry, Hadeer, Safwat, Omar, Salah, Ahmed Elhussiny Salah Mahmoud, Ahmed, Saleh, Mahmoud, Sallam, Ahmed, Samir, Reem, Sayad, Esraa, Sayed, Ahmed, S Sedik, Mohammed, Shahine, Antonios, Soliman, Wael, Soliman, Mohamed Gamal Taher, Randa, Wanees, Ebrahim Ahmed Yousof, Ahmed, Youssef, Omar Zein Elabedeen, Ahmed Emad Sayed Hassan, Shrouk Abdel Fattah, Ahmed, Abostate, Samar, Ali, Saad Ali Saad Salama, Mohamed, Allam, Ahmed, Alsadek, Ebrahim, Arafa, Ahmed, Barakat, Mohammed El Sherpiny, Gehad, Elbehairy, Mahmoud, Eleisawy, 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David, Walawah, Makafui, Yigah, Safia, Yussif, Nuna, Jiagge, Emmanuel, Nachelleh, Jane, Acquaye, Kwabena, Agbedinu, Fareeda, Agyei, Akosua, Agyemang-Prempeh, Kwabena, Amo-Antwi, Michael, Amoah, George, Amoah, Yaw, A Amoako, Daniel Gyawu Aning, Frank, Ankobea-Kokroe, Dominic Annor Mintah, David, Anyitey-Kokor, Adu, Appiah-Kubi, Joshua, Arthur, Vincent, Ativor, Isaac, Barnor, Yasmine, Braimah, Regina, Darko-Asante, Anthony, Davor, Mohammed Duah Issahalq, Mawutor, Dzogbefia, Tano, Emile, Papa, Fiifi-Yankson, Valerie, Gaveh, Senyo, Gudugbe, Solomon, Gyabaah, Frank Enoch Gyamfi, Adam, Gyedu, Derrick, Gyimah, Bernard, Hammond, Boakye-Yiadom, Jonathan, Yorke, Joseph, Thomas Okpoti Konney, Anna, Konney, Kwasi, Kusi, Ishmael, Kyei, Agbenya, Lovi, Nuhu, Naabo, Boateng, Nimako, Beauty, Nyadu, Obed Ofori Nyarko, Ben Blay Ofosu-Barko, Philip Peprah Oppong, Anita, Osabutey, Martha, Poku, Robert, Sagoe, Abiboye, Yifieyeh, George, Ansong, Adam, Abass, Alhassan, Abdul-Mumin, Theophilus, Adjeso, John Abanga Alatiiga, Munira, Amadu, Nathaniel, Annan, German Azahares Leal, Mohammed, Bukari, Alexis, Buunaaim, Ernest, Cheyuo, Latif Daboo Salifu, Michael, Damah, Malcolm, Dery, Edem Kojo Dzantor, Odoniel Guerra Garcia, Yabasin Iddrisu Baba, Adamu, Issaka, Abdul-Jalilu Mohammed Muntaka, James, Murphy, Yaa Nyarko Agyeman, Wisdom Opoku Amankwaa, Imoro, Osman, Samuel, Pie, Anwar Sadat Seidu, Mohammed, Sheriff, Ana Maria Simono Charadan, Abraham, Titigah, Mundashiru, Yahaya, Musah, Yakubu, Edwin Mwintiereh Ta-Ang Yenli, Ioannis, Grypiotis, Nikolaos, Kiriakopoulos, Georgios, Koliopoulos, Vasilis, Kyvelos, Georgia, Micha, Triada, Papadopoulou, Dimitrios, Balalis, Evangelos, Fradelos, Dimitrios, Korkolis, Nicholas, Alexakis, Kyveli, Angelou, Dimitrios, Haidopoulos, Anastasia, Prodromidou, Alexandros, Rodolakis, Nikolaos, Thomakos, Dimitris, Psychogios, Pantelis, Antonakis, Konstantinos, Bramis, Leonidas, Chardalias, Ioannis, Contis, Nikos, Dafnios, Dionysios, Dellaportas, Papalouka, Dimitra, 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Liolis, Elias, Ioannis, Maroulis, Francesk, Mulita, Kerasia-Maria, Plachouri, Michail, Vailas, Charalampos, Doitsidis, Eva, Filo, Ioanna, Gkalonaki, Eleni, Kogia, Konstantina, Kontopoulou, Magdalini, Mitroudi, Christina, Panteli, Ioannis, Patoulias, Olga Ioulia Semkoglou, Dimitrios, Sfoungaris, Ioannis, Valioulis, Ioannis, Astreidis, Panagiotis, Christidis, Orestis, Ioannidis, Lydia, Loutzidou, Antonis, Mantevas, Konstantinos, Paraskevopoulos, Dimitris, Tatsis, Apostolos, Athanasiadis, Themistoklis, Dagklis, Ioannis, Kalogiannidis, Georgios, Kapetanios, Apostolos, Mamopoulos, Chrysoula, Margioula-Siarkou, Stamatios, Petousis, Ioannis, Tsakiridis, Christos, Anthoulakis, Chrysanthos, Christou, Antonios, Fantakis, Eirini, Iordanidou, Christos, Kaselas, Sousana, Panagiotidou, Vasileios, Papadopoulos, Kyriakos, Papavasiliou, Athanasios, Piachas, Ioannis, Siasios, Ioannis, Spyridakis, Theodoros, Theodoridis, Andreas, Tooulias, Eleftherios, Tsiridis, Maria, Tsopozidi, María, Alemán, Estuardo, Brolo, Ana Lucia Lemus, Jennifer, Greenberg, Krisna Mishel Morales Chew, José Rodrigo Oliva, María Alejandra De León Lima, Ismar Lopez Muralles, Felipe, Solares, Gaby, Ajcip, Claudia, Anton, Jose, Cojulun, Mario-Andrés, Flores, Noriega, José, Carlos Adolfo Marroquín Paiz, Steffanía, Morales, Ramiro, Najera, Eduardo Quiñónez Lorenzana, Pablo, Rivera, Lesly, Rodas, Victor, Santos, Dianne, Sosa, Natalia, Ybarra, José David Pérez Cajti, Carlos, Régil, Walter, A Osorio, Rember Rosales Arriola, Luis-Fernando, Talé-Rosales, Danilo, Herrera, Servio Tulio Torres Rodríguez, Sergio Alejandro Villeda, Joshua, Anicetti, Andrea Michelle Lowey Medina, Javier, Ardebol, Kathia, Barillas, Francis De Leon, Salvador, Recinos, Miguel-Angel, Marroquin-Alpirez, Yessica, Yax, Sophie, Hon, Yuk Ho Liu, Alex Qinyang Liu, Shirley, Liu, Hei Tung Natalie Chiu, Chi Man Tom Chow, Victor, Hau, Ho Wai Ip, Brian, Mak, Chung Ying Mok, Dennis, Ng, Yin Yu Eva Siu, Kiu Fung Wong, Jingya Jane Pu, Yu-Xiong, Su, Kit Ying Au-Yeung, David Yuen Chung Chan, Albert, Chan, Shannon Melissa Chan, Tsz Ching Chang, Tor Wo Chiu, Wang Kei Chiu, Zhexi, He, Man Fung Ho, Kevin Ki Wai Ho, Jacky Yan Kit Ho, Janet Wui Cheung Kung, Cheuk Ho Lam, Rainbow W, H Lau, Samuel Ka Kin Ling, Hon Ting Lok, Tony Wing Chung Mak, Chi-Fai, Ng, Simon, Ng, Kelvin Kwok-Chai Ng, Calvin S, H Ng, Michael Tim Yun Ong, Teresa, Tan, Sui Fan Tang, Jeremy Yuen-Chun Teoh, Anthony, Teoh, Bess Siu Yan Tsui, George Kwok Chu Wong, Randolph, Wong, Kwok Chuen Wong, Chi Hang Yee, Zsuzsanna, Antal, Attila, Kalman, Peter, Voros, Kiarash, Bahrehmand, Timea, Echim, Zoltan, Novak, Tamás, Sztipits, Laszló Ádám Bihari, László, Hidi, Laszlo, Piros, Balazs, Rózsa, Peter, Sotonyi, Lilla, Szatai, György, Herczeg, Bálint, Pordány, Fanni, Tornyi, Kristof, Dede, Tamás, Egyed, György, Saftics, Judit, Kulcsicka-Gut, Zsófia, Sipos, Dezso, Toth, Bhavin, Patel, Hardil, Majmudar, Saptak, Mankad, Sohilkhan, Pathan, Sharathkumarkl, L, Lokesh, Sasatti, Subramanyam, Mahankali, Santhosh Kumar Sampengere Annayappa, Tulika, Agrawal, Premkumar, Anandan, Aditya, Baindur, Manjunath, Bd, Savitha, C, S Anitha, G, Sandeep, Harigond, K Tejeswini, K, Venkatesh, Kesarla, Mallikarjuna, Manangi, B Hareesh, P, Jyothi K, R Ranjan, Athish, Shetty, Santhosh Shivashankar Chikkanayakanahalli, Tanvi, Sunil, Shreya, Syamala, Kavya, Tharanath, Aditya, Atal, Niranjana, Rajagopal, S Srinath, B, Vinod, Nk, L Thirumanikandan, P, Nitu, Mishra, Sushruta, Shrivastava, Rekha, Wadhwani, Reyaz, Ahmad, Zainab Ahmad Haq, Prateek, Behera, Ritika, Dhurwe, Rehan, Haq, Vaibhav, Jain, Anuj, Jain, Sunaina, Karna, Kameshwarachari, Pushpalatha, Sumit, Raj, John Ashutosh Santoshi, Pooja, Singh, Virendra, Verma, Vaishali, Waindeskar, Moorat Singh Yadav, Zaheda, Aziz, Koyel, Chakraborty, Preetam, Chappity, Gurudip, Das, Debajyoti, Datta, Saubhagya Kumar Jena, Madhabananda, Kar, Susanta, Khuntia, Pankaj, Kumar, Ravi, Kumar, Aswathi, Kv, Abhijeet, Mishra, Swastik, Mishra, Yash, Mittal, Dillip, Muduly, 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Somil, Jaiswal, Yashpal, Jaware, Navneet, Kala, Ruchi, Karnatak, Apjit, Kaur, Vijay, Kumar, Manoj, Kumar, Ambrish, Kumar, Upander, Kumar, Amit Kumar Shrivastava, Seema, Mehrotra, Brijesh, Mishra, Anand, Mishra, Namrata, Bal Krishna Ojha, Ahmad, Ozair, Uma Shanker Pal, Amita, Pandey, Nancy, Raja, Pooja, Ramakant, Ashutosh, Roy, Rekha, Sachan, Satyanarayan, Sankhwar, Pushp, Sankhwar, Divya, Sarin, Ayushi, Shukla, Sushil, Singh, Mohit, Singh, Kul Ranjan Singh, Renu, Singh, Uma, Singh, Urmila, Singh, Vandana, Solanki, Abhinav Arun Sonkar, Chhitij, Srivastava, Parijat, Suryawanshi, Vivek, Tewarson, Rajat, Verma, Manju Lata Verma, Awdhesh, Yadav, Gyan, Chand, K M, M Vishvak Chanthar, Dileep, Hoysal, Anjali, Mishra, Nitin, Batra, Arun, Bhatti, Rupali, Chopra, Shakina, David, Tapasya, Dhar, Uma Kant Dutt, Rohini, Dutta, Sumir, Gandhi, Parvez David Haque, B Paul Sudhakar John, Sreejith Kannummal Veetil, Gurvinder, Kaur, Navneet, Kumar, Anil, Luther, Anupam, Mahajan, Amit, Mahajan, Kavita, Mandrelle, Shefin, Mathews, Vishal, Michael, Partho, Mukherjee, Pinki, Pargal, Rajesh, Paul, Anupam, Phillip, Rachel, Phillips, Abhishek, Samuel, Noel, Singh, Inderjot, Singh, Abhijit, Singh, Sarvpreet Singh Grewal, Anusha, Singhania, Selven, Thirumalai, Ashish, Varghese, Joshua, Wesley, Josy, Thomas, Pradeep, Zechariah, Mariam Anjum Ifthikar, Rohan Thomas Mathew, Rohan, Shetty, M Vijayakumar Vijaykumar, Bm Zeeshan Hameed, Sufyan, Ibrahim, Gayathri, Jyothish, Sunil, Krishna, Stanley, Mathew, Arjun Suresh Kumar, Narinder, Singh, Piyush Kumar Sinha, Rachith, Sridhar, Sunny, Agarwal, Srikant, Balasubramaniam, Swati, Chhatrapati, Charulata, Deshpande, Ashni, Dharia, Sarita, Fernandes, Suraj, Gandhi, Mangesh, Gore, Abhilash, Jayakumar, Rameshwar, Mhamane, Anand, Nirgude, Sandesh, Parab, Manish, Patil, Amit, Peswani, Anjana, Sahu, Sarika, Samel, Fagun, Shah, Dipti, Haridas, Vijay, Shetty, Bejoy, Abraham, Varun, Agarwal, Quazi, Ahmad, Ashishkumar, Asari, Mohammad Ismail Attar, Nagaraja Sekhar Ayyalasomayajula, Sutej, Bachawat, Shivani, Bachhav, Vivek, Badhe, Sanjiv, Badhwar, Shubhabrata, Banerjee, Vikas, Basa, Vipul, Bothara, Somnath, Chattopadhyay, Sohin, Chaudhari, Rahul, Chavan, Priyank, Chawathe, Shailja, Dadhich, Anuj, Dalal, Avinash, Date, Mandar, Deshpande, Preetham, Dev, Niren, Dongre, Anirudha, Doshi, Maya, Gade, Shreyash, Gajjar, Mohan, Gawande, Amol, Ghalme, Bhavisha, Ghugare, Ishita, Gupta, Manoj, Jain, Divakar, Jain, Saumya Sekhar Jenasamant, Vaishali, Joshi, Vinay, Joshi, Neha, Kalwadia, Nandkishore, Kapadia, Hari Bipin Radhakrishnan Kattana, Tirathram, Kaushik, Akshat, Kayal, Shama, Kovale, Yogesh, Kulkarni, Abhaya, Kumar, Kranthi, Kumar, Kashmira, Kumawat, Vidyadhar, Lad, Namrata, Maskara, Rajesh, Mistry, Smruti Ranjan Mohanty, Kanchan, Motwani, Manoj, Mulchandani, Mandar, Nadkarni, Sanjay, Pandey, Mrunal, Parab, Dinshaw, Pardiwala, Amrita, Patkar, Neha, Pawar, Abhijit, Pawar, Abhinav, Pednekar, Vishal, Peshattiwar, Harshwardhan, Pokharkar, Ojas, Potdar, 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Reddy Voppuru, Anushri, Soni, Gira, Soni, Junaid, Alam, Dinesh, Bagaria, Minu, Bajpai, Akshay Kumar Bisoi, Arvind, Chaturvedi, Sandeep, Chauhan, Narendra, Choudhary, Rajendra Singh Chouhan, Sunil, Chumber, Kamran, Farooque, Vasubabu, Gudala, Amit, Gupta, Mohit, Joshi, Apoorva, Kabra, Shashank Sharad Kale, Abhinav, Kumar, Subodh, Kumar, Dhruv, Mahajan, Rajesh, Malhotra, P Ramesh Menon, Biplap, Misra, Samarth, Mittal, Rajinder, Parshad, Pratyusha, Priyadarshini, Sushma, Sagar, Pradeep Brijkishor Sharma, Vijay, Sharma, Vivek, Trikha, Mayank, Tyagi, Kuldeep, Bansal, Kalyan, Varma, Anurag, Mishra, Rajdeep, Singh, Rohit, Bhardwaj, Abhishek, Mittal, Sabarirajan, Ponnusamy, Gyan Ranjan Singh, Isha, Tuli, Pramod, Bhor, Sanjay, Dhar, Sachin, Kale, Manisha, Aggarwal, Himani, Gupta, Gurleen, Kaur, Ajinkya, Deshpande, Anup, Gadekar, Tanmay, Jaysingani, Taufiq, Panjwani, Rakesh, Patil, Narendra, Vaidya, Sunil Kumar Vishwakarma, Utkarsha, Wayal, Debnarayan, Dutta, Rajnish, Arora, Mohit, Dhingra, Pankaj Kumar Garg, Farhanul, Huda, Pankaj, Kandwal, Ravi, Kant, Rajkumar Kottayasamy Seenivasagam, Navin, Kumar, Shashank, Kumar, Lokavarapu Manoj Joshua, Radheyshyam, Mittal, Dharma Ram Poonia, Deepak, Rajput, Saravanan, Sadhasivam, Sudhir, Singh, Vivek, Singh, Kshitija, Chandanwale, Melissa, Philip, Vaibhav, Thorat, Yousuf, Choudhury, Devishmita, Das, Mautushi, Das, Subhadra, Goala, Farhana Yasmin Laskar, Parbin, Laskar, Kapil, Malik, Poulome, Mukherjee, Abhishek, Sarkar, S Thoibisana Singha, M Nongalei Singha, Damayanti, Singha, Gowtham, Srungavarapu, Ritesh, Tapkire, Siempui, Tling, Syed Muzamil Ishaq Andrabi, Gowhar Aziz Bhat, Nisar, Chowdri, Robindera, Kour, Fazl, Parray, Raahil, Shah, Zamir Ahmad Shah, Rauf, Wani, Soujanya, Adamala, Ravikanth, Gowder, Siddhi, Hegde, S Mashitha, M, Shreya, Sreeram, Sushil, Ankadavar, Darshan, Bafna, Bharat, Dhanani, Nikhil, Ingle, Piyush, Jadhao, Sinu, Joseph, Swapnil, Kapote, Shirin, Karkada, Parag, Lad, Rajan, Lohia, Suyog, Madje, Venkateshwaran, Narasiman, Meer, Chisthi, Gejoe, George, Harihara, Jothi, Dilber, Pareed, Godwin David, C Mathew, Livingston, Abel, Mansi, Agrawal, Rabindranath, B, Manish, Baldia, Ravi Kishore Barla, Manisha, Beck, Santosh, Benjamin, Jeremy, Bliss, Lisa, Cherian, Sreekar, Devarakonda, Geley, Ete, Arun Jacob Philip George, Amish, Gohil, Deeptiman, James, Mark Ranjan Jesudason, Lallu, Joseph, Treasa, Joseph, Kathir, Joyson, Gomathi, Karnan, Albert, Kota, Pushplata, Kumari, Anitha, Loganathan, Vasanth Mark Samuel, John, Mathew, Senthil, K Nathan, Joby Elizabeth Ninan, Ajay, Philip, R Priyadarshini Priyadarshini, Suganya, S, Habie, Samuel, Gilbert, Samuel, Daniel, Selvaraj, Srujan, Sharma, Suraj, Surendran, D Hariharan, T, Santhosh Kumar Thangaraj, Vinotha, Thomas, Varghese, Thomas, John, K Thomas, S Harish, Y, Manobhiram, Boggavarapu, Murali Krishna Voonna, Marilaeta Cindryani Lolobali, Christopher, Ryalino, Tjokorda Gde Agung Senapathi, Mahadewa, Tjokorda, I Made Gede Widnyana, Dita, Aditianingsih, Aino, Auerkari, Susilo, Chandra, Fachreza Aryo Damara, Mohammad Adya Firmansha Dilmy, Achmad Kemal Harzif, Sidharta Kusuma Manggala, Dedy, Pratama, Affan, Priyambodo, Andi Ade Ramlan, Ratna Farida Soenarto, Adhrie, Sugiarto, Ilham Utama Surya, Tamara, Tango, Aida Rosita Tantri, Raihanita, Zahra, Dedy, Fachrian, Andi, Hasyim, Ade, Susanti, Teddy, Saputra, Erwin, Syarifuddin, Andi Asadul Islam, Hendra, Pajan, Ahmad Hannan Amrullah, Khoirul, Anam, Thirza, Hadipranata, Julius Albert Sugianto, Aidyl, Fitrisyah, Mayang Indah Lestari, Nur Rachmat Lubis, Rizal, Zainal, Zulkifli, Zulkifli, Erick Gamaliel Amba, Warren, Lie, Andika Adiputra Thehumury, Tedy, Apriawan, Yunus Kuntawi Aji, Roidah Taqiyya Zahra Wathoni, Sumadi Lukman Anwar, Teguh, Aryandono, Wirsma Arif Harahap, Juni, Kurniawaty, Djayanti, Sari, Artanto, Wahyono, Yunita, Widyastuti, Akhmad Yun Jufan, Parisa, Arjmand, Mohammad, Etezadpour, Babak, Ganjeifar, Masoumeh, Hosseinpoor, Hassan, Mehrad-Majd, Mohsen, Rajati, Reza, Assadi, Ehsan, Noori, Parisa, Rajaei, Samira, Hajisadeghi, Mohammad, Mehdizadeh, Mina, Soltani, Narges, Alizadeh, Gholamreza Azarnia Azar Nia, Hamid, Heidari, Seyedmohamad Hosseini Zavareh Hosseini Zavareh, Ali Moazami Pour Moazami Pour, Farokh, Savaddar, Mostafa, Vahedian, Hoora, Amouzegar, Mojdeh, Bahadorzadeh, Seyedeh Homa Hemmasi, Ahmad, Kachoie, Ali Karimi Karimi, Sepideh, Miraj, Monireh, Mirzaie, Hossein Mokarami Mokarami, Amrollah, Salimi, Roghayyeh, Ahangari, Ali, Ahmadvand, Ali, Bashiri, Morteza, Borhani, Mohammad, Haidari, Mohammad Taghi Imani Khosroshahi, Shahrokh Jahan Bini, Mohsen, Koosha, Mohammad Kazem Moslemi, Ali, Naghibi, Shahrzad, Tehrani, Zahra, Yazdi, Seyyed Hassan Adeli, Majid, Alborzi, Hamed, Bagheri, Mohsen, Eshraghi, Hassan Fatemi Manesh, Mohammad, Ghomeisi, Seyed Fakhreddin Hejazi, Saeed, Madani, Nima Najafian Motahaver, Samieh, Norouzi, Mahdi Pezeshki Modarres, Ali, Shafiee, Jamshid, Vafaeimanesh, Hossein, Yusefi, Elahe, Hosseini, Pourya, Medhati, 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Marshall, Darya, Musa, Zeeshan, Ahmad, Emmet, Andrews, Bruno Chan Chin, Mark, Corrigan, Amy Edwards Murphy, Niamh, Foley, Padraig, Gardiner, Daniel, Hechtl, Michelle, Hsiao, Mohd Yasser Kayyal, Shane, Killeen, Maria, Lyons, Cathy, Burke, Matt, Hewitt, Marwa, Mohamed, Syeda Farah Nazir, Mei Yee Ng, Nor Azlia Abdul Wahab, Cathy, Monteith, Oladayo, Oduola, Lylas, Aljohmani, Timothy, Nugent, Paula, Corr, Lauren, Crone, Johnathon, Harris, Arnold, Hill, David, Kearney, Robert Anthony Keenan, Deirdre, Nolan, James, Ryan, Mark Philip Hehir, Carmen, Regan, Michael, Geary, Fergal, Malone, Claire, Mccarthy, Donal, B O'Connor, Shane, Considine, Emma, Donohoe, Caroline, Herron, John, Larkin, Thomas Hugh Lynch, Barry, Maguire, Rustom, Manecksha, Andrea Mc Carthy, Katharina, Nagassima, Erica, O'Sullivan, Pat, Rohan, Ryan, Roopnarinesingh, Salloum, Salloum, Thomas, Aherne, Mary, Barry, Gareth John Bowen, Ellen, Boyle, Joseph, Dowdall, Ann, Hanly, Ahmed, Hassanin, Helen, Heneghan, Conor, Hurson, Orlaith, Kelly, Rory, Kennelly, Aoife, Kiernan, Sean, T Martin, Nawar, Masarani, Damian, Mccartan, Enda, W McDermott, Ben, Murphy, Kin Cheung Ng, Nwabundo, Njeze, Aine, O'Neill, Ruth, S Prichard, Ned, Quirke, Ian Sean Reynolds, Des, Winter, Rowan, Casey, Mutaz, Elamin, Amy, Gillis, Dara, Kavanagh, Michael, Kelly, Áine, Mcnamee, Paul, Neary, Patrick, Owens, Akshaya, Ravi, Paul, Ridgway, Paul, Carroll, Chris, Collins, Amenah, Dhannoon, Amy, Fowler, Aisling, Hogan, Aoife, Lowery, Peter, Mcanena, Charlie, Timon, Stewart, Walsh, Wisam, Al-Ramli, Imran, Azeem, Muhammad Usaama Bahadoor, Zsolt, Bodnar, Hassan, Elmusharaf, Faisal Saeed Hassan, Adam, Hingum, Huilun, Huan, Seamus, Jennings, Mohamed Hamed Khalid, Mariya, Kuteva, Syed Nadeem Mujtaba, Shanell, Peeriyah, Hina, Rehman, Muhammad Assam Sarwar, Tony, Shaju, Ian, Stephens, Michael, Sugrue, Joseph, Thomas, Manvydas, Varzgalis, Saqib, Zeeshan, Alisha, Jaffer, Larne, Jones-Whiting, Colin, Peirce, Sean, Johnston, Seantee, Lim, Alwaleed, 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Massimiliano, Gennaro, Lorenzo, Giannini, Marcello, Guaglio, Marco, Guzzo, Andrea, Leva, Alberto, Macchi, Elena, Manzo, Fabio, Martinelli, Ilaria, Mattavelli, Vincenzo Maria Mazzaferro, Francesco, Raspagliesi, Luigi, Rolli, Laura, Sala, Roberto, Salvioni, Mario, Santinami, Silvia, Segattini, Luca, Sorrentino, Carlotta, Zaborra, Alexandre, Anesi, Gianmaria Casoni Pattacini, Mattia Di Bartolomeo, Francesca, Pecchini, Arrigo, Pellacani, Micaela, Piccoli, Federico, Fusini, Andrea, Gattolin, Marco, Migliore, Roberto, Rimonda, Diego, Sasia, Elisabetta, Travaglio, Federica, Brunetti, Marco, Cereda, Marco, Ceresoli, Luca, Cigagna, Cristina, Dell'Oro, Alessandro, Fogliati, Robert, Fruscio, Tommaso, Grassi, Maini Marzia Isabella, Luca Carlo Nespoli, Massimo, Oldani, Sara, Ornaghi, Nicolò, Tamini, Carmine, Antropoli, Antonio, Castaldi, Alessio, Palumbo, Gaia, Altieri, Umberto, Bracale, Francesco, Corcione, Marcello De Luca, Giovanni Domenico De Palma, Maria Michela Di Nuzzo, Ruggero, Lionetti, 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Matteo, Filardo, Marika Sharmayne Milani, Franco, Ragni, Andrea de Manzoni Garberini, Edoardo, Baldini, Diana, Carpaneto, Michele, Cauteruccio, Corrado, Ciatti, Luigi, Conti, Serena, Gattoni, Pietro, Maniscalco, Gerardo, Palmieri, Calogero Puma Pagliarello, Giuseppe, Caristo, Raffaele, Galleano, Michele, Malerba, Marcello, Calabrò, Francesca, Farnesi, Elia Giuseppe Lunghi, Andrea, Muratore, Nicoletta Sveva Pipitone Federico, Joel Reuben Abel, Lorenzo, Andreani, Darienzo, Antonio, Vittorio, Aprile, Riccardo, Balestri, Giacomo, Benettini, Stefano, Berrettini, Luca, Bruschini, Massimo, Chiarugi, Federico, Coccolini, Simone, Colangeli, Camilla, Cremonini, Lodovica Cristofani Mencacci, Iacopo, Dallan, Silvia De Santi, Gregorio Di Franco, Lorena Di Girolami, Giacomo, Fiacchini, Niccolò, Furbetta, Stylianos, Korasidis, Marco, Lucchi, Andrea, Morandi, Luca, Morelli, Serena, Musetti, Carlo Maria Neri, Matteo, Palmeri, Miriana, Picariello, Francesco, Porcelli, Marco, Puccini, Nicolo, Roffi, Erica, Statuti, Dario, Tartaglia, Alberto, Tonelli, Matteo, Vianini, Gianluca, Baronio, Mauro, Montuori, Enrico, Pinotti, Stefano Maria Massimiliano Basso, Federica, Maffeis, Paolo, Ubiali, Lorenzo, Aguzzoli, Saverio, Coiro, Giuseppe, Falco, Vincenzo Dario Mandato, Valentina, Mastrofilippo, Simone, Mele, Caterina, Baldi, Carlo, Corbellini, Gianluca Matteo Sampietro, Massimo, Dugo, Mauro, Garino, Chiara, Marafante, Antonio, Masciandaro, Elisabetta, Moggia, Alessandra, Murgese, Felice Eugenio Agro, Gabriella Teresa Capolupo, Filippo, Carannante, Marco, Caricato, Vincenzo, Denaro, Erica, Mazzotta, Rocco, Papalia, Giuseppe, Pascarella, Alessandro, Strumia, Biagio, Zampogna, Matteo, Cinquepalmi, Marco, Colasanti, Celeste Del Basso, Federica, Falaschi, Nicola, Guglielmo, Roberto Luca Meniconi, Alessandra, Pecoraro, Sofia, Usai, Giacomo, Crescentini, Antonella, Larcinese, Emanuele, Picone, Giovanni, Sinibaldi, Annamaria, Agnes, Salvatore, Agnes, Sergio, Alfieri, Francesco, Belia, Valentina, Bianchi, Giuseppe, Bianco, Alberto, Biondi, Paola, Campennì, Valerio, Cozza, Sabatino, D'Archi, Domenico, D'Ugo, Veronica De Simone, Marta Di Grezia, Sofia Di Lorenzo, Federica, Ferracci, Valeria, Fico, Gianluca, Franceschini, Pietro, Fransvea, Giulio, Gasparini, Luca, Gordini, Antonio La Greca, Francesco, Litta, Celestino Pio Lombardi, Angelo Alessandro Marra, Angelo, Parello, Marco Maria Pascale, Romeo, Patini, Gilda, Pepe, Roberto, Persiani, Caterina, Puccioni, Carlo, Ratto, Fausto, Rosa, Gianmarco, Saponaro, Lorenzo, Scardina, Tedesco, Silvia, Giuseppe, Tropeano, Maria, Benevolo, Daniele, Bugada, Flaminia, Campo, Maria Gabriella Dona, Valentina, Manciocco, Paolo, Marchesi, Riccardo, Mastroianni, Francesco, Mazzola, Silvia, Moretto, Raul, Pellini, Gerardo, Petruzzi, Barbara, Pichi, Giuseppe, Simone, Gabriele, Tuderti, Jacopo, Zocchi, Luigi Marino Cosentino, Andrea, Sagnotta, Roberta, Angelico, Vittoria, Bellato, Michela, Campanelli, Marzia, Franceschilli, Michele, Grande, Giorgio, Lisi, Tommaso Maria Manzia, Lorenzo, Petagna, Bruno, Sensi, Giuseppe, Sica, Leandro, Siragusa, Giuseppe, Tisone, Marco, Assenza, Barbara, Binda, Massimo, Biondi, Gioia, Brachini, Placido, Bruzzaniti, Mauro, Casagrande, Flavia, Ciccarone, Pierfranco Maria Cicerchia, Bruno, Cirillo, Daniele, Crocetti, Giancarlo, D'Ambrosio, Vito, D'Andrea, Francesca De Felice, Giorgio De Toma, Carlo Della Rocca, Giulia, Duranti, Pietro, Familiari, Enrico, Fiori, Giovanni Battista Fonsi, Alessandro, Frati, Stefania La Rocca, Filippo La Torre, Pierfrancesco, Lapolla, Giovanni, Marruzzo, Simona, Meneghini, Andrea, Mingoli, Andrea, Picchetto, Antonella, Polimeni, Diego, Ribuffo, Maurizio, Salvati, Antonio, Santoro, Paolo, Sapienza, Luigi, Simonelli, Valentino, Valentini, Martina, Zambon, Giuseppa, Zancana, Emma, Zuppi, Simone, D'Annunzio, Cosimo De Nunzio, Silvia, Fiorelli, Mohsen, Ibrahim, Chiara, Loffredo, Domenico, Massullo, Cecilia, Menna, Rocco, Monica, Massimiliano, Pelli, Erino Angelo Rendina, Leonardo, Teodonio, Andrea, Tubaro, Giulio, Argenio, Giulio, Accarino, Accarino, Giancarlo, Antonio Nicola Giordano, Luca, Cardinali, Elisa, Sebastiani, Grazia, Travaglini, Erika, Andreatta, Emanuele Luigi Giuseppe Asti, Daniele, Bernardi, Luigi, Bonavina, Caterina, Froiio, Andrea, Lovece, Chiara, Copelli, Alfonso, Manfuso, Pasquale Di Maio, Marco, Giudice, Oreste, Iocca, Rosario, Cennamo, Tommaso, Cornali, Francesco Di Marzo, Cristian, Altana, Francesco, Bussu, Giampiero, Capobianco, Anna Giacomina Carta, Sandro, Ciccarello, Maria Laura Cossu, Pietrina, Cottu, Giacomo De Riu, Salvatore, Dessole, Francesco, Dessole, Salvatora, Dettori, Carlo, Doria, Alessandro, Fancellu, Claudio, F Feo, Giorgio Carlo Ginesu, Giuliana, Giuliani, Marco Giuseppe Iannuccelli, Massimo, Madonia, Roberto, Mancino, Olindo, Massarelli, Gianfranco, Meloni, Fabio, Milia, Andrea, Mulliri, Teresa, Perra, Marco, Petrillo, Antonio, Piras, Franco, Piredda, Francesco, Pisanu, Alberto, Porcu, Davide, Rizzo, Angelino, Sanna, Antonio Mario Scanu, Fabrizio, Scognamillo, Damiano, Soma, Anna Rita Tanca, Alessandro, Tedde, Matteo, Tedde, Luigi Angelo Vaira, Andrea Bartalini Cinughi de Pazzi, Osvaldo Carpineto Samorani, Daniele, Fusario, Luigi, Marano, Gaia, Oldrà, Anna Lisa Pesce, Stefania Angela Piccioni, Luca, Resca, Vincenzo, Ricchiuti, Franco, Roviello, Vinno, Savelli, Alberto, Abrate, Pierpaolo, Bordoni, Lorenzo, Bosio, Guglielmo, Clarizia, Francesco, Fleres, Marco, Franzini, Antonio, Fratto, Pierluigi, Giumelli, Alessandro, Grechi, Alessandro, Longhini, Fabrizio, Lorusso, Elisa, Scarnecchia, Federica, Scolari, Alessandro, Spolini, Vincenzo, Maiuri, Matteo, Papandrea, Arturo, Roncone, Lorenzo, Conti, Andrea, Rizzi, Marco, Rovagnati, Alberto, Brolese, Tommaso, Cai, Francesco Antonio Ciarleglio, Francesca, Dalprà, Gianni, Malossini, Liliana, Mereu, Irene, Tamanini, Saverio, Tateo, Giovanni, Viel, Enrico, Battistella, Paolo Boscolo Rizzo, Cristoforo, Fabbris, Marco, Massani, Giacomo, Spinato, Roberta, Tutino, Ugo, Grossi, Alessandro, Iacomino, Simone, Novello, Maurizio, Romano, Serena, Rossi, Giulio, Santoro, Giacomo, Zanus, Sokol, Trungu, Giada, Aizza, Gabriele, Bellio, Selene, Bogoni, Marina, Bortul, Biagio, Casagranda, Sara, Cortinovis, Nicolò de Manzini, Davide, Drigo, Paola, Germani, Manuela, Mastronardi, Lucia, Paiano, Silvia, Palmisano, Pier Luigi Filosso, Francesco, Guerrera, Matteo, Marro, Mauro, Rinaldi, Enrico, Ruffini, Stefano, Salizzoni, Laura, Bardelli, Mattia, Berselli, Giacomo, Borroni, Eugenio, Cocozza, Matteo, Desio, Bottazzoli, Elisa, Giuseppe, Ietto, Valentina, Iori, Domenico, Iovino, Lorenzo, Livraghi, Valentina, Marchionini, Stefano, Megna, Emma Amal Nahal, Mara, Palumbo, Valeria, Quintodei, Alessandra, Zullo, Lucrezia, D'Alimonte, Giovanni, Pirozzolo, Chiara, Vignotto, Tommaso, Campagnaro, Andrea, Caravati, Simone, Conci, Carlotta De Cristofaro, Gabriele, Gecchele, Tommaso, Giuliani, Jacopo, Graziosi, Alfredo, Guglielmi, Salvatore, Paiella, Corrado, 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Rakotoarisoa, Maharo, Ramifehiarivo, Solonirina Harinarindra Ranaivoson, Hajamihamina Marina Parfaite Randriantsoa, Narindra Njarasoa Mihaja Razafimanjato, Jeannie Ba Razafindrahita, Solofoarimanana, Solofoarimanana, Guillaume Odilon Tsiambanizafy, Rakotonaivo Mamisoa Judicaël, Corinne Eulalie Solo, Tojomamy Herinjaka Ralaizafindraibe, Fanonjomahasoa Safiry Andofenohasina, Hanta, Rasataharifetra, Vanona Barijaona Razafindraibe, Angelin Sablon Herinirina, Andre, Das, Thanga, Ganapathy, Yohesuwary, Gunarasa, Kalyani, Mariapan, Maathichsudhaar, Muniandy, Mohd Firdauss Osman, Mohd Azem Fathi Mohammad Azmi, Jien Yen Soh, Wan Zainira Wan Zain, Andee Dzulkarnaen Zakaria, Zaidi, Zakaria, Kheng Hooi Chan, Firdaus, Hayati, Syamim, Johan, Jin Jiun Mah, Ratha Krishnan Sriram, Sentilnathan, Subramaniam, Nur Shahirah Binti Muhammad Shahimi, Khairul Hazim Hamdan, Mohd Razali Ibrahim, Guhan, Muthkumaran, Ju Ann Tan, Mohana Raj Thanapal, Dayang Anita Abdul Aziz, Mae-Lynn, Bastion, Mohd Hairul Nizam Harun, Farrah-Hani, Imran, Norshamsiah Md Din, Ayesha Mohd Zain, Mushawiahti, Mustapha, Syed, Nabil, Ainal Adlin Naffi, Abd Jabar Nazimi, Roszalina, Ramli, Bee Hong Soon, Pavin, Bal, Joo Qing Cheng, Mohd Rusdi Draman, Ahmad Nazran Fadzli, Sakina, Ghauth, Weipin, Hung, Suniza, Jamaris, Peng Soon Koh, Sivakumar, Krishnasamy, Yeong Sing Lee, Yew Toong Liew, Jeffery Zk Lim, Raymond Chung Siang Lim, Hiong Chin Lim, Siti Farhan Moh Pauzi, Shireen Anne Nah, Ashvin Krishna Nair, Doris Sin Wen Ng, Yuki Julius Ng We Yong, Kamarajan, Ramayah, Rahmah, Saaid, Anand, Sanmugam, Mee Hoong See, Kanesh Kumaran Seevalingam, Neha, Sethi, Srihari, Singaravel, Syeda Nureena Syed Jafer Hussain Zaidi, Chu Yik Tang, Li Ying Teoh, Kian Boon Wong, Ruben, Xavier, Ahmad Shuib Yahaya, Norhafiza, Ab, Rahman, Islah Munjih Ab, Rashid, Mohd Fahmi Abd Aziz, Mohd Norhisham Azmi Abdul Rahman, Nasser Muhammad Amjad, Shahidah Che Alhadi, Faisal, Elagili, Mohd Nazli Kamarulzaman, Azmi Md Nor, Ahmad Faidzal Othman, Mohd Yusof Sainal, Mat Salleh Sarif, Richelle, Chua, Aini Fahriza Ibrahim, Abdul Rauf Bin Ahmad, Yii Ling Lau, Ka Yee Liew, Kandasami, Palayan, Hui Yu Wong, Jasiah, Zakaria, Nor Azimah Abd Aziz, Norazila Abdul Rahim, Noorneza Abdul Rahman, Bahiyah, Abdullah, Mohamed Faizal Bin Sikkandar, Fatin, Firman, Nik Mohd Hazleigh, Intan Kartika Kamarudin, Shahril, Khalid, Mohd Fairudz Mohd Miswan, Akmal Zulayla Mohd Zahid, Norasyikin, Mustafa, Kadhim, Obaid, Mohd Yusoff Bin Yahaya Yahaya, Ahmad Ramzi Yusoff, Predrag, Andrejevic, Jeremy Borg Myatt, Svetlana, Brincat, Clifford, Caruana, Kurt Lee Chircop, Francesca, Chircop, Daniel Mario Chircop, Charles, Cini, Viktoria, Czok, Melanie, Farrugia, Gabriella, Grima, Fatimah Mj Hassan Almukhariq, Esther, Muscat, Darryl, Pisani, Mohsin Hassan Khan Roshan, Nicholas, Schembri, Mohamed, Shoukry, Neville, Spiteri, Gilbert, Tanti, Ziad Aboharp Hasan, Alberto Bazan Soto, Cedillo Rodrìguez Jonathan Rubén, Gustavo Esteban Lugo Zamudio, David Gerardo Miranda Gómez, José Alfredo Pérez Meave, Victor Pinto Angulo, Antonio Rojas Aguilar, Erik Efrain Sosa Duran, Alejandro Vàzquez Perez, Diego, Arroyo, Jose, Corona-Cruz, Hector, Martinez-Said, Heriberto, Medina-Franco, Manuel, Mendez, Teresa Moreno, Y Suárez Ma, Dolores Orta Díaz, Martha Patricia Pérez de León Vázquez, Angélica Azucena Soto Carvajal, Fidel Soto Hernández, Juan Ignacio Stenner, Adriana Valenzuela López, Mauricio Rene Hernandez, Rey Jesus Romero, Aldo Bernal Hernandez, Ana Olivia Cortes-Flores, Carlos Jose Zuloaga Fernandez Del Valle, Carlos Andres Colunga Tinajero, Jaime, Orozco-Perez, Laura Gabriela Peña Balboa, Guillermo, Yanowsky-Reyes, Víctor Hugo Alcalá Torres, Francisco José Barbosa Camacho, Irma Valeria Brancaccio Perez, Miguel Angel Calderon-Llamas, Aldo Camacho Gomez, Edgar-Joaquin, Cortes-Torres, Esteban, Cueva-Martinez, Oscar Durán Anguiano, Isaac Esparza Estrada, Roberto, Fierro-Rizo, Paola Flores Becerril, Clotilde Fuentes Orozco, Miguel García Castillo, Alejandro Gonzalez Ojeda, Ana Sofia Gonzalez Rubio, Erick Alonso González-García de Rojas, Luis Humberto Govea-Camacho, Jose Aldo Guzman Barba, Juan Carlos Ibarrola Peña, César Íñiguez Martínez, Francisco Javier Llamas-Macias, Ruben Eduardo Morán Galaviz, Cesar, Nuño-Escobar, Oscar-Everardo, Olvera-Flores, Jaqueline, Osuna-Rubio, Jose Victor Pérez-Navarro, Rodrigo, Prieto-Aldape, Luis Ricardo Ramirez Gonzalez, Marco Vinicio Ramírez Sánchez, Emilio, Reyes, Olaya Moramay Romero-Limón, Carlos Beas Ruiz-Velasco, José Antonio Sánchez Martínez, Guillermo, Sanchez-Villaseñor, Ismael, Sedano-Portillo, Gabriela Ambriz Gonzalez, Pedro Berrones Moreno Berrones Moreno, Ana Beatriz Calderon Alvarado, José de Jesús Cárdenas Barón, Araceli, Hernández, Francisco Javier León Frutos, Edgard Efren Lozada Hernandez, Eduardo Morales Valencia, Karla Daniela Pérez, Francina, Bolanos-Morales, Julio, Herrera-Zamora, Patricio, Santillan-Doherty, David Omar Arriaga Zavala, Salvador Francisco Campos Campos, Lizette, Carmona, 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Alexander, Borgstein, Suzanne, Gisbertz, Sarah, Mikdad, Mark van Berge Henegouwen, Roel, Bakx, Marc, Besselink, Daniel Hl Lemmers, Anne-Jasmin, Roelofs, Paul van Amstel, Claire van Helsdingen, Ludi, Smeele, Niels, Harlaar, Frederik, Jonker, Sjirk van der Burg, Justin, Y van Oostendorp, Saranda, Ombashi, Tim van der Voort, Martijn van Geldorp, Lisanne, Posma-Bouman, Hans Donald de Boer, Annette, Olieman, Henriette, Smid-Nanninga, Jean-Paul P, M De Vries, Rianne, Hogenbirk, Tyche, Derksen, Josephine, Franken, Steven, Oosterling, Peter, Nolte, Jelle van der List, Ian, Alwayn, Okker, Bijlstra, Andries, Braat, Ruth, Bulder, Michèle de Kok, Robin, Faber, Ben, Goudsmit, Jaap, Hamming, Sven, Mieog, Alexander, Vahrmeijer, Fenna E, M van de Leemkolk, Joost van der Vorst, Jan van Schaik, Merel, Verhagen, Kim, Albers, Larsa, Gawria, Harry Van Goor, Michiel, Warle, Tessa, M van Ginhoven, Charlotte, Viëtor, Evert-Jan, Boerma, Lara, Lallitsch, Donald, Schweitzer, Wouter, Leclercq, Julie, Sijmons, 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Asensio, Luis Asensio Gomez, Diego, Carrion, Nuria, Chavarrias, Alvaro de Arriba, Jose Antonio Gazo Martínez Gazo, Alberto Gegúndez Simón, Juan Gómez Rivas, Natalia Gonzalez Alcolea, Carolina, Gonzalez-Gomez, Sara Gortázar de Las Casas, María Alexandra Heras Garceau, Alicia Hernández Gutierrez, Luis, Lassaletta, Fuad Samir Lopez Fernández, Marta, Mancheño, Blanca, Mateos-Serrano, Isabel Pascual Miguelañez, Maria Fernanda Pedrero Escalas, Julio, Peñarrocha, Yolanda, Perez, Maria Isabel Prieto-Nieto, Teresa Rivera Schmitz, Laura, Rodrigáñez, Ines, Rubio-Perez, Isabel Sanchez Cuadrado, José Ignacio Sánchez Méndez, Jorge Fernando Tone, Carlos Toribio Vazquez, Aitor, Urbieta, Diego Córdova García, Francisca Garcia-Moreno Nisa, Laura, Jiménez, Inmaculada, Lasa, Belen, Matías-García, Fernando, Mendoza-Moreno, Marina Pérez González, Ana Sánchez Gollarte, Alejandro Sanchez Pellejero, Cristina Vera Mansilla, Rafael, Barberá, Lourdes, Montes-Jovellar, Sara Fra Fernández, Nicolas Moreno Mata, Barbara, Algar-Yañez, Gutiérrez, Bérénice, Olga De La Varga-Martínez, Paula, Fernandez-Valdes-Bango, Sandra Maria Gadin-Lopez, José María Martínez-Gómiz, Elena, Nieto-Moreno, Ana, Nieto-Moreno, Montserrat Ocampos Hernandez, Maria Laura Pelegrina-Lopez, Alicia Ruiz Escobar, Elena, Sáez-Ruiz, Beatriz, Vazquez-Rivero, Antonio, Lara, Belén Vielva Del Campo, Fernando Alcaide Matas, Simbad, Costas-Ochoa, José María García Pérez, Elizabeth, Marmol, Paula Troncoso Pereira, Maria Del Pilar Concejo Cutoli, Juan Ramón Gómez López, Juan Carlos Martín Del Olmo, Paloma Guillamot Ruano, Javier Páramo Zunzunegui, Antonio Albarracín Marín Blázquez, Alfonso, Aliaga-Sanchez, Marta María Arroyo Domingo, Miriam Artés Artés, Ana Isabel Avellaneda Camarena, Aida, Blaya, Emny Rochell Bobadilla Romero, Pedro Vicente Fernández-Fernández, Lorena Galindo Iñiguez, Víctor Javier García Porcel, Clara Giménez Francés, Antonio Javier Gomez Poveda, Rebeca Gonzalez Celdran, Francisco Miguel González Valverde, Laura Guillamon Vivancos, Elena, Gurrea-Almela, Alejandra Jara Maquilón, Jose David Jimenez Parra, Abd Al Aziz Lanagrán Torres, Raquel Lax Perez, Carmen Maria Lopez Lopez, Francisco, Machado, Alfonso Marco Garrido, Florencio Manuel Marin Martinez, Victoria Martínez Muñoz, Esther, Medina, Olimpia, Molina, José Manuel Muñoz Camarena, Julian, Onate, Pedro Antonio Parra Baños, Emilio Peña Ros, Enrique, Rubio, Marina Sánchez Robles, Carlos Sanchez Rodriguez, María Valero Soriano, María Teresa Yepes García, Felipe, Alconchel, Andrés Balaguer Román, Valentín, Cayuela, Ana, Conesa, Ana Delegido García, Pedro José Gil Vázquez, Paula Gómez Valles, Francisco, Gómez-Bosch, Vicente, J León-Muñoz, Francisco, Martínez, Alvaro, Navarro-Barrios, Tatiana, Nicolás-López, Pablo Ramirez Romero, Emiliano, Cano-Trigueros, María Concepcion Alonso González, Leticia Gómez Viana, Ana Pastor Zapata, Elisa Contreras Saiz, Tamara Díaz Vico, Maria, Fernandez-Hevia, Luis Joaquín García Flórez, Raquel, Rodríguez-Uria, Sandra, Sanz, Lorena, Solar-Garcia, Aida Suárez Sánchez, Jaume, Gelonch, Dietmar, Reinaldo, Miriam Abdulkarim Polo, Asier, Aguirre, Marta Alomar Bofill, Santiago, Baena, Ashish, Bartakke, Carmen Cabeza Oliver, Marta Castro Suárez, José Andrés Cifuentes Rodenas, Olga Claramonte Bellmunt, Ant Onia Crespí Mir, Anabel De La Llave Serralvo, Mar, Escales, Isabel Rosa Fernández Burgos, Pablo Gandia Gonzalez, Juan Lliteras Jorge, María Cristina Martínez Canto, Javier, Mata, Andreu, Morell, Naila, Pagès, Sara Pérez Palao, Cristian Plaza Valiente, Catalina Ramon Barcelo, Carmen Reyero Fernández, Albert Reyes Claret, Leticia Rodriguez Vaquero, Maialen Saez de Vicuña Salinas, Pilar Santos Cidon, Concepcion, Segura, Aina, Serra, Maria Serra Guivernau, Maria Soler Pedrola, Marta, Tasende, Marta Torrent Lluch, María Inmaculada Valldeperas Hernández, Rosa-Maria, Yañez-Lpez, Andrea, Craus-Miguel, Laura Fernández Vega, Natalia Pujol Cano, Juan José Segura-Sampedro, Laura Colet Oliver, Ivan Dot Pascuet, Mireia, Duart, Isabel Tello Galindo, Eduardo Arrea Salto, Jaume Cámara Cabrera, Marta Camats Terré, Juan Gabriel Castro Ríos, Marta de la Rosa-Estadella, Anna, Fernandez-Colorado, Anna, Gasulla-Rodriguez, Antonio, Gimenez-Gaibar, Elena, Gonzalez, Yeray Maldonado Sotoca, Matilde, Molina-Corbacho, Montserrat Monfort Mira, Josep, Rodoreda, Marta Santos Espí, Arnau Verdaguer Figuerola, Elisa Angela Diego-Alonso, Jaime, López-Sánchez, Luis, Muñoz-Bellvis, Jacobo, Trebol, Borja, Aguinagalde, Cristina Gabriela Alzate Arsuaga, Ainhoa Andres Imaz, Iñigo, Arana, Coro Aranzabal Urrutia, Mikel, Armendariz, Lorena, Arrabal, Iñigo, Augusto, Adolfo, Beguiristain, Laura, Busto, Ainhoa, Cuevas, Itziar De Ariño, Alejandro, Elúa, Leticia, Fernandez, Arantza, Fernandez-Monge, Lander, Gallego, Alba, Garcia, Amaia Garcia Dominguez, Gregorio, Garmendia, Carmen, Grañén, Pelayo Hevia Rodríguez, Maria, Iraola, José Miguel Izquierdo, Aintzane, Lizarazu, Jon Ander Lizarbe, Claudia Cristina Lopes Moreira, Iker, López, Ruth Marquina González, Tania, Pastor, Adrián Recio Ayesa, Ana Paula Riverola Aso, Carballo, Rodríguez, Araceli, Rodrìguez, Maria Inmaculada Ruiz Montesinos, Patricia, Torres, Jose, Undabeitia, Ainara, Villafruela, Maria Barrionuevo Ramos, David, Blanco, Marta, Calderón, Eva Corral Rubio, Angel, Cuadrado-García, Daniela, Cubek, Ignacio, Fariña, Maria Fernandez LLorente, Natalia Flores Amador, Mariana García Virosta, Luis Garcia-Sancho Tellez, Adelina Gonzalez Martinez, María, Hernandez, Rubén Herreros Ruiz-Valdepeñas, Carmen Jimenez Sanchez, Eduardo Llamazares Cobo, María, López, Javier, López-Martin, Teresa Martínez Marivela, Luis Miguel Martinez Parra, Paloma Maté Mate, Paloma, Medrano, Manuel Moriche Carretero, Sara Núñez O'Sullivan, Manuel Ortega Oria de Rueda, María Begoña Pastor Nieto, Clara, Pérez, Antonio, L Picardo, Remedios Revilla Amores, Carmen Rodríguez Haro, Jose Alberto Rojo López, Fatima Sanchez Cabezudo Noguera, Cristina, Sanz, Daniel Serralta de Colsa, Cristina Valor Garcia, Marta Velasco Martinez, Iván Andújar Lara, Aranzazu, Calero-Lillo, Enrique, López-Ruiz, Alberto Díaz García, Alejandro Menéndez Moreno, Luis Eduardo Pérez-Sánchez, Ángela, Pascual, Miguel Adeba García, Marta Alonso Fernández, Javier Alvarez Gama, Roberto, Ballestero, Loreto Berjon De La Vega, Paola Calleja Hermosa, Mariana, Carrillo-Rivas, Alfonso, Casado, Andrea, Cerveró, Bonifacio Cimadevilla Calvo, Patricia Corriols Noval, Paloma de la Dehesa Cueto-Felgueroso, Miren Jasone Diez Zapirain, José Estevez Tesouro, José Antonio Fernández-Dívar Sánchez, Lucia Garcia Alcalde, Juan García Cardo, Tito García Moreno, Daniel, García-López, Belen Garcia-Montesinos Perea, Miren Gonzalez Benito, Rocio, Gonzalez-Aguado, Miguel Ángel Gordo Vega Gordo-Vega, Jose, Gutierrez-Banos, Jaime Jimeno Fraile, Yolanda Jubete Castañeda, Patricia Lopez Gomez, Antonia Jesús López López, David Mato Mañas, Carmelo, Morales-Angulo, Dieter, Morales-Garcia, Sara, Naranjo, Jose Luis Rabago, Jose Manuel Rabanal, Rocio Revuelta Zorrilla, Adriana Reyes Echeverría, Juan Carlos Rodríguez-Sanjuán, Juan Ramón Sanz, Isabel Simal Badiola, Guillermo, Tejón, Enrique Toledo Martínez, Raquel Varea Malo, Begoña, Fadrique, Tania, Funes, Elena González Revilla, Isaias, Alarcón, Daniel Aparicio Sánchez, Pablo Beltran Miranda, Carmen, Cepeda-Franco, María Josefa Cuevas López, Sandra, Dios-Barbeito, Virginia María Durán Muñoz-Cruzado, Carlos Gonzalez De Pedro, Rosa, M Jimenez-Rodriguez, Francisco, Manresa-Manresa, Gabriel, Marin, Cristobalina, Martin-Garcia, Sara, Martínez-Núñez, Juan Manuel Martos Martinez, Lucas, Mengíbar, Felipe Pareja Ciuro, Eduardo Perea Del Pozo, Veronica Pino Diaz, José, Pintor-Tortolero, Claudia, Quintero-Pérez, Maria Luisa Reyes Diaz, Mercedes Rubio Manzanares Dorado, Alejandro Sanchez Arteaga, Ana, Senent-Boza, Luis, Tallon-Aguilar, Jose, Tinoco-Gonzalez, Luis-Cristobal, Capitan-Morales, Juan Cintas Catena, Javier, Valdes-Hernandez, María Del Campo Lavilla, Alina López De Fernández, Miriam Abellan Lucas, Alba Diaz Padillo, Maria Gómez Romero, Linda Grace Puerto Tamayo, El Mostafa El Yaqine Er Raoudi, Melody García Domínguez, María Ángeles Gascón Domínguez, Marta González Pérez, Alba Hernáez Arzoz, Joana San Anton, Cristian, Ruminot, Hander Guillermo Acosta Diaz, Daniella, Laguado, Kristina, Aghababyan, Alba, Jr, Enrique, Artigues, Rocío, Belda, Miguel, Beltran, Jose Ignacio Blanes, Elena Campos Carot, Miriam, Cantos, Laura, Costa, Carolina Ferrer Gomez, José María Gallego Sánchez, Oscar, Gil-Albarova, Juan, Gilabert-Estellés, Emilio Lopez Alcina, Isabel López Sánchez, Severiano Marin Bertolin, Carolina, Martinez-Perez, Antonio Melero Abellán, Claudia Mulas Fernández, Beatriz, Novoa, Ruth, Nuñez, Pablo Renovell Ferrer, Guijarro-Jorge, Ricardo, Carolina Soledad Romero Garcia, Miguel Sanfeliu Giner, Silvia, M West, Enrique, Zapater, Ignacio, Miranda, Ana, Monís, Alejandro Roselló Añón, María José Sangüesa, Jorge Sanz Romera, Marcos, Adrianzén, Maria Barrios Carvajal, Mireia, Bauzá, Ana Benítez Riesco, Jose Antonio Carbonell Lopez, María-Carmen, Fernández-Moreno, Ricardo Gadea Mateo, Francisco, Garcia, Maris Luisa García-Pérez, Luisa Paola Garzon, Ana, Izquierdo, Maria Lapeña Rodríguez, Carlos, León-Espinoza, Fernando, Lopez, Rosa Martí Fernández, Sara Martínez Castro, Berta Monleón López, Isabel Mora Oliver, David, Moro-Valdezate, Ernesto Muñoz Sornosa, Sara Palomares Casasús, Leticia Pérez Santiago, Mara Albert Fort, Reyes, Balanzá, Lorena Bermell Marco, Carla Carratalá Pérez, Claudia Pilar Clemente Tomas, Marta, Córcoles, Jose Ángel Diez Ares, Carlos Domingo Del Pozo, Nuria Estellés Vidagany, Gonzalo, Garrigos, Mar Gimeno Gimeno Vicente, Blanca Alastrue Giner, Segundo, Gomez-Abril, Paloma, Gonzalez, Paula Gonzálvez Guardiola, Guillermo Sebastian Martínez Fernández, Charo Martínez García, Lucía, Martínez-Costa, Luz María Moratalla Charcos, Sergio Navarro Martínez, Carmen, Payá-Llorente, Álvaro Pérez Rubio, Nuria, Peris, Eduardo Picazo Pineda, Jordi Planelles Gómez, Francisco Ripoll Vidal, Andrea, Roca, Enrique, Salmerón-González, Raquel Segura Roselló, Ramon Trullenque Juan, Cristina Verdejo Gimeno, Jose Miguel Zaragozá García, Gema Zomeño Bravo, Marcos Bruna Esteban, Hanna, Cholewa, Milton de Jesus, Matteo, Frasson, Luis Oliver García, Héctor, J Aguado, Antonio Jose Alonso Villalba, Francisco, Ardura, Carmen Elena Badillo Bercebal, María Bedate Núnez, Alvarez-Ramos Begoña Aranzazu, Juan Beltrán de Heredia, Hugo, Bermejo, Juan Berrocal Cuadrado, Maria Bragado González, Juan, Bustamante-Munguira, Raul Calvo Gonzalez, Yolanda, Carrascal, Ana Belén Casas Marcos, María Carmen Cervera, Sergio Chávez Valladares, Ángel Cilleruelo Ramos, Susana, Cortes, Jesús, Crespo-Sanjuán, María, Cuaresma, Luis Antonio Cuellar Martin, Carlos Ferreras García, Alvaro, Fuentes-Martín, Abel, Ganso, Elena García García, Luis, Garcia-Florez, Virginia, Garcia-Virto, Juan, Gatón, Julio Alberto Gobernado Tejedor, Tania Gómez Sanz, Jose Ignacio González Martín, María Begoña Gregorio Crespo, Ana Herranz Arriero, Jose, Herreros, Marta Ibáñez Nieto, César, Infante, Carlos, Jezieniecki, Moises, Juarez, Gregorio de Jesus Labrador Hernandez, Ana Patricia Legido Morán, Ricardo León Fernández, Alejandro, Leon-Andrino, Almudena, Llorente, Maria Lopez Pais, Mauricio Loucel Bellino, Sergio, Martin, Miguel Angel Martin-Ferrero, Gonzalo Martinez Municio, Elvira Mateos Alvarez, José María Matilla, Luis María Merino Peñacoba, Mario, Montes-Manrique, Fernando Natal Álvarez, David, C Noriega, Henar Nuñez Del Barrio, Francisco Javier Ortiz de Solórzano Aurusa, Lucía, Pañeda, Victoria Pascual Escudero, Miguel Pascual Samaniego, Adela, Pereda, Marta Pérez Febles, Laura, Pesquera, Maria, Plata, Emma Puertas Ruiz, Mario, Rodriguez-Lopez, Alejandro Romero de Diego, Ana, Ruano, María Ruiz Soriano, Cristina Sánchez Torralvo, Silvia Santiago Maniega, Bárbara, Segura-Méndez, Clarisa Simon Perez, José, Soro-García, Paula Suárez Mansilla Suárez-Mansilla, Jeancarlos Trujillo Díaz, Mª Esther Valsero Herguedas, Andrea Vazquez Fernandez, Eduardo Velasco García, Ana, Zabalza, Álvaro Zamora Horcajada, Fernando Acebes García, Enrique Asensio Díaz, Martín, Bailón, Alejandro David Bueno Cañones, Alvaro Centeno Velasco, Ekta Choolani Bhojwani, Fernando Labarga Rodríguez, Sara, Mambrilla, Pablo, Marcos-Santos, Toledano, Miguel, David Pacheco Sánchez, Baltasar, Pérez-Saborido, Pilar, Pinto, Katherine, Plua, Javier Sanchez Gonzalez, Vicente, Simo, Rosalía Velasco López, Sandra Veleda Belanche, Fabiola Eugenia Michel Campos, Iciar Muñoz Lindez, Maria, Balluerca, Maite, Camuera, Pablo, Helguera, Imanol, Herrero, Patricia Paunero Vazquez, María, Sánchez-Rubio, Isami, Soeda, María Dolores Arribas Del Amo, Vicente Manuel Borrego Estella, Estefania, Casas, Néstor Castán Villanueva, Daniel Delfau Lafuente, Elena Delgado Blanco, María, Domingo, Ismael Gil Romea, Azucena, Gonzalo, Emilio Lagunas Lostao, Noelia Lete Aguirre, Yaiza Martinez Lahoz, Jesús Víctor Pérez-Tierra Ruiz, Maria Del Mar Soriano, Isabel Valero Lázaro, Esmeralda Carnicer Escusol, Guillermo Pola Bandres, Juan Luis Blas Laina, Beatriz, Cros, Patricio Andrés Freile Pazmiño, David, Garcia-Aguilera, Ana Mejía Casado, Ana, Nogués, Issa Talal El-Abur, Carlos, Yánez, Isabel Gascon Ferrer, Carlos, Gracia-Roche, Ursula María Jariod Ferrer, María Victoria Simón Sanz, Tomas, Uson, Waseem, Ahamed, Sumudu, Jayasinghe, Eranda, Karunadasa, Prathibha, Nelihela, Sujeewa Priyantha Bandara Thalgaspitiya, Dickson, Wickramarathna, Nagenthiram, Harivallavan, Pirashanthan, Nagarasa, Eranga, Perera, Kanapathipillai, Piratheep, Vithranage Srimantha Dewsiri Rodrigo, Meera, Thayalan, Rajendram, Thayaparren, Arulprashanth, Arulanantham, Kanishka De Silva, Gagana, Ganga, Anuja Nadeeshan Kumarasinghe, Mahanada, Udukala, Koculen, Vimaleswaran, Prashanthan, Yogarajah, Ravindri, Jayasinghe, Probhodana, Ranaweera, Mohamed, Rishard, Dharmabandhu, N Samarasekera, Sanjeewa, Seneviratne, Sivasuriya, Sivaganesh, Chamal, Fernando, Nishantha, Mendis, Balasingam, Balagobi, Balasupramaniam, Sathesan, Lanka, Dasanayake, Malitha, Patabendige, Wickramasooriya, Dj, Kugarajh, Ganeshapillai, Sathyamoorthy, Prasanna, Dileepa, Ediriweera, Sumudu, Kumarage, Asanka, Jayawardane, Athula, Kaluarachchi, Pituwala Liyanage Adithya Sirisena, Abubakr, Abubakr, Hozifa, Mohamed, Ismail, Mustafa, Mogahid, Sharfeldein, Samir, Ismail, Reem, Musa, Monira, Sarih, Mussab, Abaker, Eman Adam Abdalla, Mohamad, Abdelbagi, Alsafe, Adlan, Ahmed, Alnaeem, Safa, Atyah, Yasir, Awad, Rsheeda, Dawelbait, Mohamed El Hag, Ibrahim, Elbashir, Sami, Eldirdiri, Samwal, Eldirdiri, Mohammed Eltahier Abdalla Omer, Lana Abdalgadir Ahmed Mohamed, Hiba Hassan Rehmtallah Ahmed, Mohammed Balla Yousif Balla, Abdulmoiz, Aljafari, Abdulmalek, Aljafari, Elsagad, Mohamed, Abdulkader, Mohammad, Abdulkader, Shaar, Mohamed Nafea Shaar, Maab Hussein Yousif Elhafiz, Mohammed Husien Yosif Elhafiz, Abubakr Ali Mohammed Alhassan Humidan, Almigdad, Ali, Hisham, Eljack, Mohamedyasin, Elrashid, Manhal, Ahmed, Albrra, Alhag, Douaa, Ali, Mohammed Ahmed Babikir, Imad, Bakheit, Hytham K, S Hamid, Sami, Mohamed, Walid, Shaban, Nidhal, Siddig, Mohamed, Suliman, Rihab Yasir Abdelmagid, Abubaker, Yassin, Omer, Abbas, Eltahir, Abdelrahim, Muhammed, Ahmed, Mohamed, Elobaid, Adil, Hashim, Ali, Mohamed, Omer, Mohamed, Khalid, Osman, Abdallah, Yousif, Safaa, Abdulaal, Marwa, Elsadig, Mohammed, Hussain, Malaz Amir Ataalmanan, Doha Amir AtaAlmanan, Tebyan Amir AtaAlmanan, Alaa, Elgaili, Maria, Mohamed, Usra, Omara, Alkhansa, Osman, Amna, Osman, Safaa, Saad, Abdelkareem, Ahmed, Ali Adil Ali Karar, Aya, Alhassan, Mohanad, Alsidig, Mohamed, Eljack, Mohammed Ibrahim Mohammed Ali, Awad Kamal Awad Osman, Liena, Mohamed, Samah Ibrahim Omer Mohamed Osman Mohamed Osman, Altayeb, Mohammed, Ayman, Mohammed, Khadija, Muhmmed, Eltahir, Musa, Egbal Sahal Abdelmajed, Khalid Z M, Y Hamid, Omnia M, M Yousif, Mahmoud, Saleh, Osman, Bashir, Yassein, Elhussein, Omar, Madani, Eva, Angenete, Jennifer, Park, Lars, Gillberg, Monir, Jawad, Linas, Pieteris, Yousif, Saeed, Sergej, Safonov, Martin, Spångfors, Henrik, Andersson, Hans, Bahlmann, Karin Björnström Karlsson, Michelle, Chew, Lara, Daham, Lina De Geer, Helen, Didriksson, Gunilla, Gagnö, Carina, Jonsson, Anna, Oscarsson, Pamela, Buchwald, Mathilde, Delorme, Marie-Louise, Lydrup, Shahin, Mohseni, Arvid, Pourlotfi, Souheil, Reda, Kajsa, Anderin, Nina, Blomme, Josefin, Segelman, Malin, Simlund, Anders, Thorell, Fredrik, Wogensen, Daniel, Danielsson, Peter, Elbe, Rebecka, Hultgren, Boel, Hynning, Fredrik, Klevebro, Karin, Lind, Ebba, K Lindqvist, Carl, Montan, Ernesto, Sparrelid, Clara Svenberg Lind, Jeremy, Wales, Andreas, Älgå, Martin, Nordberg, Emil, Pieniowski, Ioannis, Gkekas, Niklas, Löfgren, Karolina, Niska, Robert, Zürner, Silvio, Däster, Otto, Kollmar, Savas, Soysal, Stephanie, Taha-Mehlitz, Athanasios, Tampakis, Dominik Valentin Flury, Marie, Heyne-Pietschmann, Gregor Jan Kocher, Ana, M Calinescu, Barbara, Wildhaber, Markus, Gass, Jürg, Metzger, Andreas, Scheiwiller, Lukas, Briner, Oliver, Dwidar, Steven, Grandjean, Pietro, Ricciardi, Alexandra, Calmels, Christodoulou, Michel, Morena, Antonilli, Dimitrios, Christoforidis, Alessandra, Cristaudi, Jacopo, Galafassi, Maria Luisa Gasparri, Francesco, Mongelli, Martino, Munini, Andrea, Papadia, Sotirios Georgios Popeskou, Alex, Alfieri, Thomas, Bächler, Matteo, Giardini, Christian, Gingert, Laura, Guglielmetti, Inna, Meyer, Tobias, Müller, Daniel, Schöni, Folco, Solimene, Frank, Weidner, Marco, Bueter, Daniel, Gero, Amelie, Müller, Carmen, Portenkirchner, Andreas, Thalheimer, Jeannette, Widmer, Ahmad, Hmaideh, Alaa, Kour, Saleem, Swaes, Omar, Alannaz, Ramez, Aljasem, Ezeddin, Dabbagh, M Wafa Hamoud Alhussein, Amr, Hamza, Mazen, Mohammad, Abd El-Fattah Mouhandes, Mohamad, Shareeda, Mohammad Nour Shashaa, Mousa, Sifat, Sheraa, Tahhan, Rahaf, Toutounji, Mohamed, Abdulrahman, Albaraa, Abdulsalam, Ziad Al Jarad, Hala, Alayyoubi, Dina, Alfarra, Ahmad, Alhamid, Mahmoud, Alnasser, Mulham, Gharib, Ruwaid, Gharib, Obaida, Kabel, Osama, Kherallah, Abdulqader, Klaho, Mohamed Shukri Najjar, Ahmad, Razouk, Joud, Shiekhoni, Wael, Alkhaleel, Amira, Almosa, Mohammad, Aloulou, Maen, Alzaeem, Khaled, Arnaout, Muhamad Zakaria Brimo Alsaman, Mohamad, Estanbouli, Hanadi, Hawa, Ahmad Nbrass Kabawi, Ghina, Maarawi, Yehia, Mashhadany, Sana Shaikh Torab, Waleed, Abd, Tayma Abd Alghafour, Hani, Abdalnour, Nazeeh Al Aktaa, Marwan Al Aliwy, M Maher Al Arje, Tasneem Al Najjar, Ahmad, Al-Mouakeh, Ahmad, Aldakhil, Aos, Alhamid, Hasan, Alhasan, Mohamad Shadi Alkarrash, Jumaa, Alkhamis, Sara, Alshekh, Ahmad Yamen Arnaout, Oula, Azizeh, Mohammed, Dalaleh, Aghyad, Danial, Zain, Douba, Raghad, Ghadri, Mohammad Maen Ghannam, Anas, Ghawi, Luma Haj Kassem, M Yasser Halwani, Shahed, Hamadieh, Mohammad, Hanino, Ala Aldeen Hasan, Haya, Jawish, Nasr Ullah Kabbani, Saadullah, Kabbany, Mohamad, Kadi, Lama, Kadoura, Ahmad Amir Kayali, Ammar, Kayyali, Aya, Kelzia, Amana, Kezze, Abdullah, Khalaf, Maymona, Khayata, Mohammad Nour Kitaz, Mohammad, Kour, Raghad, Makki, Ruqaya, Masri, Joseph, Masri, Noor, Masri, Muhammad, Mazketly, Shiar, Mustafa, Ezzeldin, Nashed, Yaman Qoudra Danial, Hasan, Raslan, Rima, Salem, Mohammed Asaad Salem, Thabet Sayed Bakir, Manaf, Sharabaji, Majd Sheikh Alganameh, Duaa Sheikh Kadro, Joudy, Shurbatji, Mohammad Noor Sultan, Dana, Sultan, Hala, Swied, Bakri Tarras Jarkas, Tayf, Toutounji, Fadi, Ward, Rama, Zazo, Aya, Zazo, Zainab, Zeino, Mohamed, Alaktaa, Wael, Alsado, Hala, Fares, Nouran, Hawa, Hamza, Ibrahim, Abdulmonem, Kawas, Mourad, Niazi, Bayan, Toutounji, Mohammad, Abdow, Mohamad, Ahmad, Tareq, Ahmad, Rawan Al Azhar, Hiba Al Hage Diab, Rahaf Al Mulke, Mohammad, Al-Jadaan, Ahmad, Alhussein, Zahra, Alnajem, Omar, Alneser, Bayan, Alsaid, Elias, Azar, Lubna, Bakr, Ammar, Hamza, Yara, Houdifa, Sami, Jomaa, Samer, Kefo, Hiba, Mardini, Alaa, Mohammad, Fadi, Rayya, Fatima, Razzouk, Mohannad, Saleh, Anwar, Shamandi, Ammar Youzkatli Alkhatib, Omar Abdul Salam, Dany, Ajami, Mohammad, Alhamid, Ahmad, Alkhaledi, Danny, Hadidi, Massa, Jabra, Mamdouh, Kallas, Antoine, Laktine, Joelle, Naem, Naya, Naoum, Ghena Mohammed Fawaz Ashour, Ahmad, Alhouri, Deema, Fallouh, Ahmad, N Mohammad, Ahmad, Rmman, Ali, Slitin, Christine, Tanos, Ibrahim, Wakim, Hanaa, Zahrawi, Majd, Abouassi, Layth, Abouassi, Ayham, Aboutrab, Basel, Ahmad, Ahmad Mustafa Ahmad, Aya, Ahmad, Afaf, Ahmad, Mohamad, Alabras, Mohammad, Albasheer, Ola, Alkasser, Mhd Khaled Alkasser, Ali, Alkhdor, Marah, Azkoul, Mohammad Karam Chaaban, Haya, Deeb, Basel, Jazieh, Basel, Kouz, Youssef, Kozah, Raied, Mohamad, Ammar, Mohammad, Mhd Zied Nasri, Mohammed Mouaz Shebani, Mohammed, Shwin, Alaa, Sommaq, Amal, Youssef, Tala Al Asadi, Suhad, Alkhateb, Rasha Khalil Alsayyad, Roula, Altom, Mhd Amin Alzabibi, Batoul, Bakkar, Hlma, Ismail, Salma Khadem Alsrouji, Sara, Melhem, Mohamad, Sankari, Mosa, Shibani, Noura, Shujaa, Ibrahim, 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Giuseppe Salamone, Francesca Toia, Massimiliano Tripoli, Nepogodiev, D, Rosati, R, Surgery, Medicine and Pharmacy academic/administration, Basic (bio-) Medical Sciences, Surgical clinical sciences, Faculty of Medicine and Pharmacy, Gastroenterology, Medical Oncology, Clinical sciences, Breda, João, ARD - Amsterdam Reproduction and Development, Paediatric Surgery, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, AGEM - Endocrinology, metabolism and nutrition, Graduate School, Tytgat Institute for Liver and Intestinal Research, Laura Alberici, Filippo Antonacci, Alessandro Arena, Angela Belvedere, Fabio Bernagozzi, Paolo Bernante, Pietro Bertoglio, Lorenzo Bianchi, Maria Bisulli, Barbara Bonfanti, Safia Boussedra, Jury Brandolini, Crescenzo Cacciapuoti, Stefano Cardelli, Riccardo Casadei, Matteo Cescon, Alessandro Cipolli, Riccardo Cipriani, Alfredo Conti, Luca Contu, Francesco Costa, Niccolo’ Daddi, Eugenia De Crescenzo, Pierandrea De Iaco, Alessandra De Palma, Massimo Del Gaudio, Anna Nunzia Della Gatta, Giampiero Dolci, Giulia Dondi, Matteo Droghetti, Sergio Nicola Forti Parri, Elena Garelli, Chiara Gelati, Giuliana Germinario, Federico A. Giorgini, Carlo Ingaldi, Elio Jovine, Kenji Kawamukai, Antonio Lanci Lanci, Raffaele Lombardi, Maria Elisa Lozano Miralles, Claudio Marchetti, Michele Masetti, Francesco Minni, Daniele Morezzi, Daniele Parlanti, Alice Pellegrini, Anna Myriam Perrone, Anna paola Pezzuto, Marco Pignatti, Gianluigi Pilu, Valentina Pinto, Gilberto Poggioli, Silvana Bernadetta Puglisi, Diego Raimondo, Matteo Ravaioli, Claudio Ricci, Sara Ricciardi, Francesco Ricotta, Roberta Rizzo, Angela Romano, Matteo Rottoli, Riccardo Schiavina, Renato Seracchioli, Matteo Serenari, Margherita Serra, Piergiorgio Solli, Gioia Sorbi, Mario Taffurelli, Marta Tanzanu, Achille Tarsitano, Marco Tesei, Gabriele Vago, Tommaso Violante, Simone Zanotti, Tommaso Frisoni, leonardo solaini, giorgio ercolani, Fruscio, R, Ornaghi, S, Collaborative, Covidsurg, Collaborative, Globalsurg, Palmisano, Silvia, de Manzini, Nicolo', Žundienė, Laura, Dulskas, Audrius, Kuliavas, Justas, Čekauskas, Albertas, Kielaitė-Gulla, Aistė, Poškus, Tomas, Strupas, Kęstutis, Želvys, Arūnas, COVIDSurg Collaborative, GlobalSurg Collaborative, Department of Surgery, HUS Abdominal Center, Simoes, Jff, Li, E, Picciochi, M, Glasbey, Jc, Baiocchi, G, Blanco-Colino, R, Chaudhry, D, Alameer, E, El-Boghdadly, K, Wuraola, F, Ghosh, D, Gujjuri, Rr, Harrison, Em, Lule, H, Kaafarani, H, Khosravi, M, Kronberger, I, Leventoglu, S, Mann, H, Mclean, Ka, Mengistu, Gm, Modolo, Mm, Ntirenganya, F, Norman, L, Outani, O, Pius, R, Pockney, P, Qureshi, Au, Roslani, Ac, Satoi, S, Shaw, C, Bhangu, A, Omar, Om, Ahmed, Wur, Argus, L, Ball, A, Bywater, Ep, Brar, A, Dawson, Be, Duran, I, Elhadi, M, Jones, C, Kamarajah, Sk, Keatley, Jm, Lawday, S, Marson, Ej, Ots, R, Santos, I, Taylor, Eh, Trout, Im, Varghese, C, Venn, Ml, Xu, W, Dajti, I, Gjata, A, Kacimi, Seo, Boccalatte, L, Cox, D, Townend, P, Aigner, F, Kronberger, Ie, Samadov, E, Alderazi, A, Hossain, K, Padmore, G, van Ramshorst, G, Lawani, I, Cerovac, A, Delibegovic, S, Gomes, Gma, Buarque, Il, Gohar, M, Slavchev, M, Nwegbu, C, Agarwal, A, Martin, J, Ng-Kamstra, J, Olivos, M, Lou, Wh, Ren, Dl, Calvache, Ja, Rivera, Cjp, Hadzibegovic, Ad, Kopjar, T, Mihanovic, J, Jimenez, Pma, Gouvas, N, Klat, J, Novysedlak, R, Amisi, N, Christensen, P, El-Hussuna, A, Batista, S, Lincango-Naranjo, E, Emile, S, Sandoval, Daa, Dhufera, H, Hailu, S, Mengesha, Mg, Kauppila, Jh, Arnaud, Ap, Demetrashvili, Z, Albertsmeier, M, Lederhuber, H, Loffler, Mw, Acquah, Dk, Ofori, B, Tabiri, S, Metallidis, S, Tsoulfas, G, Aguilera-Arevalo, Ml, Recinos, G, Mersich, T, Wettstein, D, Kembuan, G, Milan, Pb, Khosravi, Mh, Mozafari, M, Hilmi, A, Mohan, H, Zmora, O, Gallo, G, Pata, F, Pellino, G, Fujimoto, Y, Kuroda, N, Abou Chaar, Mk, Ayasra, F, Fakhradiyev, I, Hamdun, Ih, Jin-Young, J, Jamal, M, Karout, L, Gulla, A, Rasoaherinomenjanahary, F, Samison, Lh, Sanchez, Iid, Gonzalez, D, Martinez, L, Martinez, Mj, Nayen, A, and Ramos-De la Medina, A
Subjects: Male, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], MULTICENTER, infectious diseases, 0302 clinical medicine, 030202 anesthesiology, Anesthesiology, Cirugía, 80 and over, Prospective Studies, Young adult, Child, Lung, Aged, 80 and over, COVID-19, delay, SARS-CoV-2, surgery, timing, SARS‐CoV‐2 infection, Operative, Child, Preschool, Pneumonia & Influenza, Infection, Cohort study, Human, medicine.medical_specialty, Clinical Sciences, Sars-cov-2, GlobalSurg Collaborative, Settore MED/28 - MALATTIE ODONTOSTOMATOLOGICHE, 03 medical and health sciences, Clinical Research, Biodefense, Correspondence, Humans, PULMONARY COMPLICATIONS, CRIANÇAS EM IDADE PRÉ-ESCOLAR, Aged, Science & Technology, Cirurgia, Prevention, Infant, Odds ratio, Pneumonia, Prospective Studie, Clinical research, Surgery, Human medicine, 610 Medizin und Gesundheit, 1109 Neurosciences, Internationality, Settore MED/29 - CHIRURGIA MAXILLOFACCIALE, Settore MED/18 - CHIRURGIA GENERALE, Adolescent, Adult, Cohort Studies, Female, Middle Aged, Surgical Procedures, Operative, Time, Young Adult, Practice Guidelines as Topic, gastroenterology, Medicine and Health Sciences, 030212 general & internal medicine, Prospective cohort study, Mortality rate, Covid19, Infectious Diseases, Patient Safety, medicine.symptom, 6.4 Surgery, Life Sciences & Biomedicine, 610 Medicine & health, COVID-19, SARS-CoV-2, delay, surgery, timing, Asymptomatic, NO, COVIDSurg Collaborative, Vaccine Related, All institutes and research themes of the Radboud University Medical Center, medicine, Mortalitat, ddc:610, Mortality, Preschool, LS7_4, Surgical Procedures, business.industry, Neurosciences, Evaluation of treatments and therapeutic interventions, 1103 Clinical Sciences, 3126 Surgery, anesthesiology, intensive care, radiology, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Anesthesiology and Pain Medicine, Emerging Infectious Diseases, Good Health and Well Being, Mortalidad, Cohort Studie, business
Abstract: Peri-operative SARS-CoV-2 infection increases postoperative mortality. The aim of this study was to determine the optimal duration of planned delay before surgery in patients who have had SARS-CoV-2 infection. This international, multicentre, prospective cohort study included patients undergoing elective or emergency surgery during October 2020. Surgical patients with pre-operative SARS-CoV-2 infection were compared with those without previous SARS-CoV-2 infection. The primary outcome measure was 30-day postoperative mortality. Logistic regression models were used to calculate adjusted 30-day mortality rates stratified by time from diagnosis of SARS-CoV-2 infection to surgery. Among 140,231 patients (116 countries), 3127 patients (2.2%) had a pre-operative SARS-CoV-2 diagnosis. Adjusted 30-day mortality in patients without SARS-CoV-2 infection was 1.5% (95%CI 1.4-1.5). In patients with a pre-operative SARS-CoV-2 diagnosis, mortality was increased in patients having surgery within 0-2 weeks, 3-4 weeks and 5-6 weeks of the diagnosis (odds ratio (95%CI) 4.1 (3.3-4.8), 3.9 (2.6-5.1) and 3.6 (2.0-5.2), respectively). Surgery performed ≥ 7 weeks after SARS-CoV-2 diagnosis was associated with a similar mortality risk to baseline (odds ratio (95%CI) 1.5 (0.9-2.1)). After a ≥ 7 week delay in undertaking surgery following SARS-CoV-2 infection, patients with ongoing symptoms had a higher mortality than patients whose symptoms had resolved or who had been asymptomatic (6.0% (95%CI 3.2-8.7) vs. 2.4% (95%CI 1.4-3.4) vs. 1.3% (95%CI 0.6-2.0), respectively). Where possible, surgery should be delayed for at least 7 weeks following SARS-CoV-2 infection. Patients with ongoing symptoms ≥ 7 weeks from diagnosis may benefit from further delay. ispartof: ANAESTHESIA vol:76 issue:6 pages:748-758 ispartof: location:England status: published
Published: 2021

39. Association between blood counts-related parameters and disease activity in patients with rheumatoid arthritis

Author: Yan Wang, Li Tao, Li Xue, Ming Li, Hua Zhang, Wen Li, Haifeng Sun, Na Lei, Hao Meng, Ting Zhou, Yanping Zhang, Zeshi Liu, Li Jin, and Yan Geng
Subjects: medicine.medical_specialty, Receiver operating characteristic, business.industry, Logistic regression, medicine.disease, Gastroenterology, Disease activity, Rheumatoid arthritis, Internal medicine, medicine, In patient, Clinical significance, Platelet, Hemoglobin, business
Abstract: Background: Erythrocytes and platelets have been demonstrated to play a critical role in inflammatory processes. However, little is known about the diagnostic value of these indices in RA patients. The aim of this study was to evaluate the clinical significance of blood counts-related parameters such as counts of red blood cells (RBCs) and platelets (PLTs), hemoglobin (Hb), red blood cells-platelet ratio (RPR) and hemoglobin-platelet ratio (HPR) in rheumatoid arthritis (RA) and their association with disease activity. Methods: Clinical and laboratory data from 178 RA patients and 164 healthy controls were collected and analyzed. RA patients were divided into inactive group and active group according to disease activity score in 28 joints based on C-reactive protein (DAS28-CRP). The relationship between blood RBC, Hb, PLT, RPR and HPR and DAS28-CRP was detected by Spearman correlation method. Receiver operating characteristic (ROC) curve was used to assess the diagnostic value of these parameters. The predictive role of these indices for RA disease activity was evaluated by logistical regression analysis. Results: Active RA patients exhibited lower levels of blood RBC counts, Hb, HCT, RPR and HPR but significantly higher level of PLT counts compared with those in inactive groups (P < 0.01). Spearman analysis showed that blood RBC counts, HCT, RPR and HPR were negatively but PLT counts were positively related with DAS28-CRP (P < 0.001) in RA. ROC curve analysis revealed that the AUC of RBC and Hb was higher than that of ESR, RF and CCP for distinguishing active RA from inactive group. Logistical regression analyses showed that PLT is an independent predictor for RA disease activity. Conclusion: Blood RBC counts, Hb, RPR and HPR were negatively but PLT counts were positively related with RA disease activity. Blood PLT may act as a novel inﬂammatory factor for predicting disease activity in RA.
Published: 2020

40. The Intelligent Energy System Based on Internet of Things Helps Rural Electrification

Author: Guan Zhao, Hao Meng, Weidong Liu, and Li Min
Subjects: Computer science, business.industry, Rural electrification, Energy consumption, Electricity, Network layer, Layer (object-oriented design), Telecommunications, business, Application layer, Energy (signal processing), Efficient energy use
Abstract: It proposes a intelligent energy system based on Internet of things to help rural electrification. Because the rural electrification plays an important role in promoting the transformation of energy demand to electricity and increasing the proportion of electric energy in terminal energy consumption, and the high attention paid to rural electrification in today's society. Firstly, it builds the intelligent energy control system based on the Internet of Things. Its functions and technical characteristics are analyzed from the perspective of the framework of the system such as the perception layer, network layer, platform layer and application layer. Then, on this basis, it builds a “365 power-keeper” intelligent energy service platform to develop more functions such as IOT management, integrated monitoring, energy efficiency analysis, value-added services and so on. Finally, it demonstrates the application effect of intelligent energy service platform through the case of using intelligent energy in electrified greenhouse in shouguang, Shandong province. The results show that this intelligent energy system can effectively improve the level of intelligent energy use in rural electrification, provide intelligent sharing services, and meet the diversified demands of customers.
Published: 2020

41. Comparison and Analysis of kW-Class SOFC-CHP Systems with Different Fuels

Author: Hao Meng, Jianzhong Zhu, and Minfang Han
Subjects: Class (computer programming), business.industry, Computer science, Process engineering, business
Abstract: SOFC is an ideal device for developing distributed combined heat and power (CHP) systems. In this paper, kW-class SOFC system models based on semi-empirical SOFC stack model were established to optimize the systems with the aim of maximizing the system electrical efficiency. Four types of SOFC-CHP systems using different fuel including natural gas (NG), hydrogen, methanol, syngas were compared, and the relationships between key parameters and system energy effciency were analyzed. Simlulation results show that decreasing the air inlet temperature (AIT) and increasing stack temperature will promote electrical effciency most significantly. In addition, the operational costs of four different systems were also compared, and among which the methanol-fueled system was the lowest.
Published: 2020

42. Clinical characteristics associated with sentinel headache in patients with unruptured intracranial aneurysms

Author: Ning Xu, Zhongping Chen, Honglei Wang, Yang Sun, Zheng Wan, Tianyi Liu, and Hao Meng
Subjects: medicine.medical_specialty, business.industry, Headache, Intracranial Aneurysm, Aneurysm, Ruptured, medicine.disease, Magnetic Resonance Imaging, Aneurysm, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Susceptibility weighted imaging, medicine, Humans, In patient, 030212 general & internal medicine, Radiology, Headaches, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract: Objective Sentinel headache (SH) is considered as a signal of the impending rupture of an aneurysm. However, it is difficult to diagnose whether the headaches of patients are associated with unstable aneurysms. Therefore, there is some doubt about the importance of headaches in patients with unruptured intracranial aneurysms (UIAs). This study was performed to explore the existence and clinical characteristics of SH associated with aneurysms. Methods Thirty-six patients with a single UIA were collected in this study. Patients were symptomatically categorized into two groups: SH and non-SH. The PHASES scores and patient and aneurysm characteristics were analyzed. Two independent MRI experts who were blinded to the patients’ clinical history conducted the analysis of the SWI results. Results There were 15 patients with sentinel headache. No significant difference was found in patient’s basic information and history. The SH group had a higher PHASES score than the non-SH group (P Conclusions SH exists in patients with UIAs and may indicate a high risk of aneurysm rupture. Abnormal signals on SWI may serve as a clinical feature to identify aneurysm-related SH and be helpful for the formulation of therapeutic strategy. Aneurysm geometry may also be related to SH but need further studies in the future.
Published: 2020

43. Autonomous Docking in a Human-Robot Collaborative Environment of Automated Guided Vehicles

Author: Chien-Wei Chiu, Ching-Hao Meng, Kai-Tai Song, Yu-Xuan Sun, and Li-Ren Kang
Subjects: 0209 industrial biotechnology, ComputingMethodologies_SIMULATIONANDMODELING, business.industry, Computer science, Deep learning, fungi, technology, industry, and agriculture, Navigation system, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Automated guided vehicle, Motion detection, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Human–robot interaction, 020901 industrial engineering & automation, Docking (dog), Human–computer interaction, DOCK, Task analysis, Artificial intelligence, business, 0105 earth and related environmental sciences
Abstract: In this paper we propose an autonomous docking and human-robot collaboration system for an automated guided vehicle (AGV). The AGV can not only navigate and dock autonomously, but also collaborate with the human by recognizing human in the environment. A human motion detection system is developed for the proposed human-robot collaboration design. A deep learning network is adopted to detect and recognize humans in the environment. By knowing of human motion, the AGV adjusts the automatic docking behavior in a collaborative manner. Practical experimental results demonstrate that human workers can co-exist with an AGV in an unstructured environment for autonomous docking tasks.
Published: 2020

44. Galectins for Diagnosis and Prognostic Assessment of Human Diseases: An Overview of Meta-Analyses

Author: Yiting Liu, Xingshun Qi, Shixue Xu, and Hao Meng
Subjects: Oncology, medicine.medical_specialty, Pregnancy, Colorectal cancer, business.industry, MEDLINE, Cancer, General Medicine, 030204 cardiovascular system & hematology, medicine.disease, stomatognathic diseases, 03 medical and health sciences, 0302 clinical medicine, 030220 oncology & carcinogenesis, Internal medicine, Heart failure, otorhinolaryngologic diseases, medicine, business, Thyroid cancer, Kidney disease, Galectin
Abstract: An increasing number of studies have explored the activities and functions of galectins. However, translation of these researches into clinical practice seems to be lacking. As compared to scattered individual studies, meta-analyses can provide a more comprehensive review of current evidence and reach a more unbiased and powered conclusion by synthesizing data from diverse studies. In this paper, findings from meta-analyses were reviewed to establish the role of galectins in diagnosis and prognostic assessment of various human diseases. First, in patients with cancer, galectin-1 expression is often associated with poorer survival, but galectin-9 expression is associated with better survival. Galectin-3 is a diagnostic biomarker for thyroid cancer and a predictor of worse survival in patients with colorectal cancer and improved survival in patients with gastric cancer. Second, galectin-3 is useful for diagnosis and prognostic assessment of heart failure and prediction of atrial fibrillation and its recurrence. Third, in chronic kidney disease, galectin-3 is valuable for predicting poor survival. Fourth, during pregnancy, galectin-13 is potentially helpful for identifying patients who do not have preeclampsia.
Published: 2020

45. Monocular Visual SLAM based on VGG Feature Point Extraction

Author: Qing-Hao Meng, Shao-Kai Zhu, Xu-Yang Dai, and Wen-Jian Zheng
Subjects: 0209 industrial biotechnology, Monocular, business.industry, Computer science, Bundle adjustment, 02 engineering and technology, Simultaneous localization and mapping, Convolutional neural network, 020901 industrial engineering & automation, Feature (computer vision), Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Visual odometry, business, Pose
Abstract: Significant progress has been made in the field of visual SLAM (Simultaneous Localization and Mapping). However, the localization accuracy of visual SLAM can be significantly reduced in low-texture and illumination-changing environments. To solve these problems, an enhanced visual SLAM algorithm based on VGG (Visual Geometry Group) network was proposed in this paper. Firstly, the VGG network for feature point extraction was incorporated into the visual odometry (VO) to achieve robust camera pose estimation. Secondly, an automatic corner annotation method was adopted to set up the training database, which could reduce the workload of data annotation. Thirdly, to make the backend optimization more suitable for the VGG based VO, the BA (bundle adjustment) optimization process was improved. Experimental results showed that, the proposed visual SLAM method outperformed the mainstream ORB-SLAM (Oriented FAST and Rotated BRIEF SLAM) method, in terms of the number of effective feature points, the robustness of feature matching process to light changes, and the accuracy of robot pose estimation.
Published: 2020

46. Indoor Layout Estimation by Fusing Monocular RGB Image Features Extracted with HRNet

Author: Qing-Hao Meng, Yin-Bo Liu, Rong-Ze Huang, and Meh Jabeen
Subjects: Range (mathematics), Monocular, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Robot, RGB color model, Computer vision, Artificial intelligence, Virtual reality, business, Rgb image, Image (mathematics)
Abstract: Indoor layout estimation (ILE) is a challenging research that segments the natural indoor scene image into floor, walls and ceiling, and it has a wide range of application prospects in the fields such as scene understanding, reconstruction, robot positioning, and virtual reality. An ILE method by merging multiple features from a monocular red-green-blue (RGB) image was proposed. Firstly, the High-resolution networks (HRNet) was used to extract the features of indoor corner keypoints (CKs) and informative edges (IEs) in the form of heatmaps. Secondly, the extracted features were then selected through a room type (RT) classification network. Finally, a feature fusion algorithm was proposed, which obtained the initial layout hypothesis through CK features and then continuously optimized the layout hypothesis with IE features. The proposed ILE method was validated on the large scene understanding challenge (LSUN) dataset.
Published: 2020

47. A Novel E-Nose Chamber Design for VOCs Detection in Automobiles

Author: Qing-Hao Meng, Yin-Bo Liu, and Lu Cheng
Subjects: Microelectromechanical systems, 0209 industrial biotechnology, Materials science, business.industry, Parts-per notation, 3D printing, Core (manufacturing), 02 engineering and technology, Repeatability, Computational fluid dynamics, Polyvinyl chloride, chemistry.chemical_compound, 020901 industrial engineering & automation, chemistry, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Current (fluid), business, Process engineering
Abstract: To detect parts per billion (ppb)-level volatile organic compounds (VOCs) in automobiles, a pre-concentrator is generally needed for electronic noses (e-noses), which can enrich ppb-level concentration to parts per million (ppm) level. However, the current e-nose chamber structure could dilute the pre-concentrated gases and then the detection performance is reduced. To solve this problem, a novel chamber design was proposed in this paper. The core design idea was to reduce the space for the gas flow in the chamber, taking into account the shape and size of the gas sensors. Specially, for the pin-type gas sensors, a series of cylindrical structure design was adopted, and for the micro-electro-mechanical system (MEMS) patch-type sensors, the headspace was compressed. The results of computational fluid dynamics (CFD) based simulation showed that the concentration of pre-concentrated gases in the novel chamber was higher than that of the traditional chamber. The designed chambers were manufactured using polylactic acid (PLA) material by 3D printing. Experimental gases were prepared from polyurethane (PU) leather and polyvinyl chloride (PVC) leather to verify the performance of the chambers, and the results demonstrated that the proposed new e-nose chamber was superior to the traditional one in terms of the pre-concentration effect, repeatability and classification performance.
Published: 2020

48. Odor Evaluation of Vehicle Interior Materials Based on Portable E-nose

Author: Ke-Xian Liu, Qing-Hao Meng, Xue-Han Xu, and Zhe-Hua Sun
Subjects: 0209 industrial biotechnology, 020901 industrial engineering & automation, Odor, Computer science, business.industry, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Pattern recognition, 02 engineering and technology, Artificial intelligence, business, psychological phenomena and processes
Abstract: The evaluation of the odor emitted by the interior materials is of great significance to the air quality control in the vehicle. This paper focuses on the multi-label classification problem of the odor type (i.e. the type of material from which the odor is released) and the grade evaluation in the vehicle. Two multi-label classifiers based on binary relevance (BR) and classification chain (CC) were designed to distinguish odor types and grades simultaneously and to distinguish odor types first and then grades, respectively. Based on the self-designed portable E-nose, six grades of odors released from six types of common interior materials were detected and classified. Experimental results showed that both the multi-label classifiers achieved better recognition accuracy, but the CC had an average recognition rate of 88.17% slightly better than the BR. It is preliminarily verified that the portable E-nose based multi-label classifiers could be used to evaluate the odor of automotive interior materials.
Published: 2020

49. Diagnosis and treatment of pure arterial malformation: Three case reports and literature review

Author: Ning Xu, Zhe-Ming Zhang, Hao Meng, Honglei Wang, Jian-Jun Xu, Zheng Wan, and Tianyi Liu
Subjects: Male, medicine.medical_treatment, Conservative Treatment, 0302 clinical medicine, Mesencephalon, Pons, 030212 general & internal medicine, Moyamoya disease, Embolization, Child, medicine.diagnostic_test, Endovascular Procedures, General Medicine, Middle Aged, Embolization, Therapeutic, Magnetic Resonance Imaging, Treatment Outcome, arterial malformation, 030220 oncology & carcinogenesis, Child, Preschool, cardiovascular system, Female, Radiology, Moyamoya Disease, Carotid Artery, Internal, Cerebral angiography, Research Article, Adult, medicine.medical_specialty, Adolescent, vascular disorders, 03 medical and health sciences, Young Adult, Aneurysm, medicine, Humans, Clinical Case Report, business.industry, Angiography, Digital Subtraction, Infant, Magnetic resonance imaging, Digital subtraction angiography, medicine.disease, Cerebral Angiography, Angiography, Blood Vessels, Intracranial Arterial Diseases, business, Tomography, X-Ray Computed, Calcification
Abstract: Rationale: The incidence of pure arterial malformations is relatively low, and few cases have been reported. Only 2 cases with pure arterial malformation have been reported to receive surgery or endovascular treatment. Patient concerns: We report 3 cases and review the relevant literatures. The head examinations of the patients suggested the presence of high-density shadows in front of the pons and midbrain, the dilation of the supraclinoid segment of the right internal carotid artery, and moyamoya in the left brain with an aneurysm-like expansion located on the left posterior communicating artery respectively. After admission, head digital subtraction angiography (DSA) was performed. Diagnoses: Digital subtraction angiography (DSA) for these 3 patients showed that the left posterior communicating artery, the supraclinoid segment of the right internal carotid artery, and the left posterior communicating artery appeared dilated, tortuous, and spirally elongated. In addition, the lesions in the latter 2 patients were accompanied with local aneurysmal changes. Interventions: Two patients were given conservative treatment, and another patient was given endovascular treatment. A head DSA was reviewed 6 months after therapy. Outcomes: The prognosis status of the 3 patients was good. Two patients in the conservative treatment group showed no changes in the lesions on head DSA examination. The DSA examination of the third patient indicated that the vascular remodeling of the diseased vessels was good, the blood vessels were unobstructed, and the aneurysms had disappeared. Lessons: Pure arterial malformations mostly occur in young women and may involve any blood vessels in the brain. It can be accompanied with local aneurysms and calcification. The patients are often given conservative treatment but need to be reviewed regularly. However, it is beneficial to give endovascular treatment to the patients with local aneurysms.
Published: 2020

50. Robust Movement-Specific Vehicle Counting at Crowded Intersections

Author: Xiaoxing Zhu, Wei Zhang, Hao Meng, Xu Gao, Zhang Hongwu, Errui Ding, Shilei Wen, Zhongji Liu, Xiaoqing Ye, Zhan Xue, and Xiao Tan
Subjects: Mahalanobis distance, Traffic congestion, Computer science, Movement (music), business.industry, Region of interest, Trajectory, Computer vision, Artificial intelligence, Tracking (particle physics), business, Focus (optics)
Abstract: With the demands of intelligent traffic, vehicle counting has become a vital problem, which can be used to mitigate traffic congestion and elevate the efficiency of the traffic light. Traditional vehicle counting problems focus on counting vehicles in a single frame or consecutive frames. Nevertheless, they are not expected to count vehicles by movements of interest (MOI), which can be pre-defined by all possible states of vehicles, combining different lanes and directions. In this paper, we mainly focus on movement-specific vehicle counting problem. A detection-tracking-counting (DTC) framework is applied, which detects and tracks objects in the region of interest (ROI), then counts those tracked trajectories by movements. To be specific, we propose the detection augmentation method and the Mahalanobis distance smoothness method to improve the multi-object tracking performance. For vehicle counting, a shape-based movement assignment method is carefully designed to categorize each trajectory by movements. Experiments are conducted on both the AICity 2020 Track-1 Dataset and the Vehicle-Track Dataset, which is built in this paper. Experimental results show the effectiveness and efficiency of our method.
Published: 2020

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