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421 results on '"Wang, Chao"'

1. W-Band E-Plane Waveguide Filter Using Compact Beeline Resonator

Author

Weiwei Wu, Xiaofa Zhang, Yun Jiang, Boyuan Liu, Zhaoyu Huang, Wang Chao, and Naichang Yuan

Subjects
Physics, Waveguide filter, Resonator, Optics, W band, business.industry, Electrical and Electronic Engineering, Condensed Matter Physics, business
Published
2022

2. Resilient operation of multi-energy industrial park based on integrated hydrogen-electricity-heat microgrids

Author

Xiaohong Guan, Xiaoyu Cao, Zhanbo Xu, Jinhui Liu, Wang Chao, and Dong Xiangxiang

Subjects
Renewable Energy, Sustainability and the Environment, Computer science, business.industry, Scheduling (production processes), Survivability, Energy Engineering and Power Technology, 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Thermal energy storage, 01 natural sciences, 0104 chemical sciences, Reliability engineering, Fuel Technology, Industrial park, Distributed generation, Electricity, 0210 nano-technology, business, Resilience (network), Optimal decision
Abstract

The hydrogen-based clean energy infrastructure provides a viable option for resilience improvement against extreme events, e.g., natural disaster and malicious attacks. This paper presents a resilience-oriented operation model for industrial parks energized by integrated hydrogen-electricity-heat microgrids, which aims to improve the load survivability under contingency status. The synergies of multi-type distributed energy resources (e.g., fuel cells, hydrogen storage tanks, battery storage and heat storage unit) and the sequential operation of the industrial distribution network are analytically represented by a mixed-integer second-order conic program (SOCP) formulation. Moreover, by leveraging the information of probabilistic disaster prediction, a risk-averse receding horizon method is developed to handle the uncertainty of network contingencies, and supports the optimal decision of proactive and emergency scheduling. Numerical results on a 26-node industrial energy system demonstrate the effectiveness of the proposed model and resilient scheduling method. The synergetic operation of hydrogen-based microgrids could significantly reduce the risks of load interruption.

Published
2021

4. Co-Optimization of Morphology and Actuation Parameters of Multi-Sectional FREEs for Trajectory Matching

Author

Deng Hao, Kong Wenchao, Mei Tao, Wenjun Xu, Liu Shengkai, and Wang Chao

Subjects
0209 industrial biotechnology, Control and Optimization, business.industry, Computer science, Mechanical Engineering, Biomedical Engineering, Soft robotics, Reconfigurability, 02 engineering and technology, Modular design, 021001 nanoscience & nanotechnology, Computer Science Applications, Task (project management), Human-Computer Interaction, 020901 industrial engineering & automation, Artificial Intelligence, Control and Systems Engineering, Control theory, Task analysis, Trajectory, Robot, Artificial muscle, Computer Vision and Pattern Recognition, 0210 nano-technology, business
Abstract

Fiber Reinforced Elastomeric Enclosures (FREEs) have gained significant popularity as a form of soft artificial muscle for the diversified deformation behaviors upon pressurization. In particular, modular FREEs connected in series, demonstrate enhanced flexibility and reconfigurability, thus are adaptable to more complex trajectory tasks. Morphology and motion parameters are strongly coupled for soft manipulators to achieve desired motion behaviors. In contrast to the traditional way of alternating between design optimization in either morphology or actuation space, we seek to co-optimize over parameters in both spaces in an end-to-end fashion with gradient-free optimization. The co-optimization framework allows for faster convergence towards optimal performance given desired trajectory plans. We demonstrated the feasibility of the framework with two simulated tasks: the multiple shape matching task and the octopus reaching task. The former task was further evaluated with real-world experiments.

Published
2021

5. Locomotion Mode Identification and Gait Phase Estimation for Exoskeletons During Continuous Multilocomotion Tasks

Author

Yue Ma, Wang Chao, Yong He, Xu Yong, Xinyu Wu, and Nan Li

Subjects
0209 industrial biotechnology, business.industry, Computer science, 0206 medical engineering, Estimator, 02 engineering and technology, 020601 biomedical engineering, Exoskeleton, Task (computing), 020901 industrial engineering & automation, Gait (human), Artificial Intelligence, Classifier (linguistics), Task analysis, Torque, Computer vision, Artificial intelligence, business, Reset (computing), Software
Abstract

Gait phase estimation is important technology in controlling the exoskeleton robot to assist elderly walking. Several kinds of Gait estimation methods have been proposed, however, the previously proposed methods were mainly aiming at one kind of walking task, e.g., level ground walking. There are only a few studies aiming at continuous gait phase estimation during continuous multilocomotion tasks. In this article, we design a continuous gait phase estimator based on adaptive oscillator (AO) network. In order to overcome the problem that the traditional AO does not converge or converges slowly when the gait task is switching, a new structure of gait phase estimator, including a gait tasks classifier, an AO reset, a peak detector, and a model-based (MB) transition gait phase estimator is designed to improve the performance of AOs network. The switching unit is designed to reorganize the output gait phase. Considering the stabilization of the sensors in continuous multilocomotion tasks, the gait tasks classifier only utilizes the angle of hip joints. The results show that the constructed classifier has similar performance to other gait tasks classifiers and requires minimum sensing sources. The continuous gait phase estimation results during continuous multilocomotion tasks show that the proposed method has better performance than the traditional AO and the AO network with self-designed reset.

Published
2021

8. CoLEAP: Cooperative Learning-Based Edge Scheme With Caching and Prefetching for DASH Video Delivery

Author

Yong Jiang, Gengbiao Shen, Wang Chao, Qing Li, Gabriel-Miro Muntean, and Wanxin Shi

Subjects
Average bitrate, Dynamic network analysis, Transmission delay, Computer science, business.industry, Computer Science Applications, Dynamic Adaptive Streaming over HTTP, Server, Signal Processing, Media Technology, Bandwidth (computing), Cache, Enhanced Data Rates for GSM Evolution, Electrical and Electronic Engineering, business, Computer network
Abstract

The outstanding increase in video traffic, puts increasing pressure on network transmission. Since the Dynamic Adaptive Streaming over HTTP (DASH) adjusts the delivery to the dynamic network conditions, it has emerged as a popular approach for video transmissions. However, bitrate switching and video rebuffering may still occur and influence negatively quality of experience (QoE). Additionally the popular videos are transmitted multiple times, which leads to high bandwidth consumption, despite large transmission redundancy. In this context, we propose a Cooperative Learning-based scheme for the smart Edge servers with cAching and Prefetching (CoLEAP) to improve the QoE of adaptive video streaming. CoLEAP employs edge servers which cache the most beneficial contents to reduce redundant video transmissions and prefetches content to decrease network transmission delay. Considering user-related information and the state of network, CoLEAP intelligently makes the most advantageous decisions of caching and prefetching by employing a novel QoE-oriented deep neural network model. To demonstrate the performance of our scheme, we test the proposed solution in comprehensive simulated scenarios and against four alternative solutions. When compared with the existing schemes, CoLEAP increases average bitrate by up to 181.8%, reduces video rebuffering by up to 70.8% as well as decreases response time by up to 28.0%. These values result in minimum improvements of 57.4% and 29.0%, respectively in terms of cache hit rate and QoE.

Published
2021

9. Research on the dimensional accuracy of customized bone augmentation combined with <scp>3D</scp> ‐printing individualized titanium mesh: A retrospective case series study

Author

Wang Chao, Li Xian, Yuanding Huang, Linzhi Li, Gang Fu, and Dan Chen

Subjects
Bone Regeneration, medicine.medical_treatment, 0206 medical engineering, 3D printing, 02 engineering and technology, Bone grafting, Bone augmentation, 03 medical and health sciences, 0302 clinical medicine, Humans, Medicine, Superimposition, Bone height, Bone regeneration, General Dentistry, Retrospective Studies, Dental Implants, Titanium, Bone Transplantation, business.industry, Dental Implantation, Endosseous, Alveolar Ridge Augmentation, 030206 dentistry, Surgical Mesh, 020601 biomedical engineering, Printing, Three-Dimensional, Implant, Oral Surgery, business, Biomedical engineering, Case series
Abstract

Background Few studies have focused on the dimensional accuracy of customized bone grafting by means of guided bone regeneration (GBR) with 3D-Printed Individual Titanium Mesh (3D-PITM). Purpose Digital technologies were applied to evaluate the dimensional accuracy of customized bone augmentation with 3D-PITM with a two-stage technique. Materials and methods Sixteen patients were included in this study. The CBCT data of post-GBR (immediate post-GBR) and post-implantation (immediate post-implant placement) were 3D reconstructed and compared with the pre-surgical planned bone augmentation. The dimensional differences were evaluated by superimposition using the Materialize 3-matic software. Results The superimposition analysis showed that the maximum deviations of contour between were 3.4 mm, and the average differences of the augmentation contour were 0.5 ± 0.4 and 0.6 ± 0.5 mm respectively. The planned volume of bone regeneration was approximately equal to the amount of regenerated bone present 6 to 9 months after the surgical procedure. On average, the vertical gain in bone height was about 0.5 mm less than planned. And, the horizontal bone gain on the straight buccal of the dental implants and 2 to 4 mm apical of the platform fell also about a 0.5 mm short on average. Statistically significant differences were observed between the augmented volume of virtual and post-GBR, and the horizontal bone gain of post-implantation on the level of 4 mm apical to the implant platform (P Conclusions The dimensional accuracy of customized bone augmentation with the 3D-PITM approach needs further improvement and compared to other surgical approaches of bone augmentation.

Published
2020

10. How collaboration impacts in the market orientation-performance relationship of SMEs? A perspective from belt and road initiative

Author

Saqib Ilyas, Liu Chao, Zafran Ahmad, and Wang Chao

Subjects
Marketing, Knowledge management, business.industry, 05 social sciences, Context (language use), Plan (drawing), Structural equation modeling, Resource (project management), Order (exchange), 0502 economics and business, Resource-based view, Market orientation, 050211 marketing, Business, Small and medium-sized enterprises, Business and International Management, 050203 business & management
Abstract

Purpose This article extends knowledge of market orientation (MO) and strategic collaboration by analyzing MO-collaborations in the context of firm performance of small- and medium-sized enterprises (SMEs). Design/methodology/approach A proposed framework built on the Knowledge and resource-based theory was tested using Structural Equation Modelling with data collected from 171 SMEs. Findings This research study supported the direct impact of market orientation on performance as well as the mediating role of collaboration in this focal relationship and assumed it would have a significant role in SME’s performance. Practical implications These findings have noteworthy implications for managers. Managers can focus on potential collaboration in order to acquire the needed assets. Owners-mangers should closely evaluate the FTAs, economic corridors, and regional cooperation agreements like BRI as these sources can lead them to collaboration with international partners. Additionally, it provides insight for entrepreneurs, business practitioners, and stakeholders of SMEs that are already operating or plan to increase their market share. Originality/value The study findings give interesting bits of knowledge to academia, entrepreneurs, and small- and medium-sized enterprises (SMEs). Given that market orientation and collaboration must proceed in parallel to improve firm performance, Assets like MO provide valuable knowledge and information about partners, which will lead to further valuable information to help the SME succeed. This study further extend the KBV theory recommendation that information and knowledge on collaboration works better and integration will be more successful in ‘resource rich’ firms.

Published
2020

11. Study on Reasonable Roadway Position of Working Face under Strip Coal Pillar in Rock Burst Mine

Author

Guo Zhongping, Wang Chao, Fuyu Zhang, Zhaowen Du, Chen Daozhi, and Hengze Yang

Subjects
Article Subject, QC1-999, 0211 other engineering and technologies, Abutment, 02 engineering and technology, Deformation (meteorology), 010502 geochemistry & geophysics, 01 natural sciences, Rock burst, Mining engineering, Position (vector), Coal, Roof, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Civil and Structural Engineering, Computer simulation, business.industry, Physics, Mechanical Engineering, Coal mining, Geotechnical Engineering and Engineering Geology, Condensed Matter Physics, Mechanics of Materials, business, Geology
Abstract

It is of great significance to study the reasonable position of mining roadway under strip coal pillar for increasing the stability of mining roadway, reducing the waste of resources, and realizing the safety production of working face. Based on the research background of the working face under the strip coal pillar in Jinqiao Coal Mine of Jining, Shandong Province, through theoretical analysis, similar material simulation experiment, and numerical simulation experiment, the stress distribution law, plastic failure range, and rationality of coal pillar setting in different width sections are systematically studied. Finally, the tailentry of working face is determined at the position of 5 m from the bottom of strip coal pillar to 1308 goaf. During the mining period of 1310 working face, the peak value of side abutment pressure is at the position of 3∼4 m; beyond 25 m in front of the coal wall, the deformation of the surrounding rock on the tailentry surface is small. After entering the advanced support section, the deformation of the two sides is mainly longitudinal crack expansion and local shallow small flakes; however, the roof is complete and stable. Therefore, the selection of tailentry location and coal pillar width has played a good role. The research results of this study can provide some reference for similar mine with similar geological and production technical conditions.

Published
2020

12. A qualitative study on the psychological experience of caregivers of COVID-19 patients

Author

Hongyun Wang, Runluo Song, Hongwei Wang, Suling Shi, Yanli You, Dandan Jiao, Niuniu Sun, Wang Zhaoguo, Luoqun Wei, Shuhua Liu, Wang Chao, and Ma Lili

Subjects
Adult, Male, Coronavirus disease 2019 (COVID-19), Epidemiology, media_common.quotation_subject, Emotions, Pneumonia, Viral, Nurses, Learned helplessness, Anxiety, Nursing Staff, Hospital, Betacoronavirus, 03 medical and health sciences, 0302 clinical medicine, Affection, Adaptation, Psychological, Interview, Psychological, medicine, Humans, 030212 general & internal medicine, Pandemics, Fatigue, Qualitative Research, media_common, 0303 health sciences, SARS-CoV-2, 030306 microbiology, business.industry, Data Collection, Health Policy, Public Health, Environmental and Occupational Health, COVID-19, Cognition, Fear, Middle Aged, Professional responsibility, Mental health, Infectious Diseases, Caregivers, Female, medicine.symptom, Coronavirus Infections, Coronavirus disease 2019, Qualitative study, Nurse, Epidemic outbreak, Psychological experience, business, Qualitative research, Clinical psychology
Abstract

Background The coronavirus disease 2019 (COVID-19) is spreading rapidly, bringing pressure and challenges to nursing staff. Objective To explore the psychology of nurses caring for COVID-19 patients. Methods Using a phenomenological approach, we enrolled 20 nurses who provided care for COVID-19 patients in the First Affiliated Hospital of Henan University of Science and Technology from January 20, to February 10, 2020. The interviews were conducted face-to-face or by telephone and were analysed by Colaizzi's 7-step method. Results The psychological experience of nurses caring for COVID-19 patients can be summarized into 4 themes. First, negative emotions present in early stage consisting of fatigue, discomfort, and helplessness was caused by high-intensity work, fear and anxiety, and concern for patients and family members. Second, self-coping styles included psychological and life adjustment, altruistic acts, team support, and rational cognition. Third, we found growth under pressure, which included increased affection and gratefulness, development of professional responsibility, and self-reflection. Finally, we showed that positive emotions occurred simultaneously with negative emotions. Conclusions During an epidemic outbreak, positive and negative emotions of the front-line nurses interweaved and coexisted. In the early stage, negative emotions were dominant and positive emotions appeared gradually. Self-coping styles and psychological growth played an important role in maintaining mental health of nurses.

Published
2020

13. Spatial and temporal distribution characteristics of bacterioplankton community structure in the downstream of Pearl River

Author

DU Wanlin, Jia Huijuan, Lai Zini, GE Dayan, Mai Yongzhan, Sun Jinhui, and Wang Chao

Subjects
business.industry, Community structure, Distribution (economics), Bacterioplankton, Aquatic Science, Biology, engineering.material, Pollution, Oceanography, Downstream (manufacturing), Earth and Planetary Sciences (miscellaneous), engineering, business, Pearl, Water Science and Technology
Published
2020

14. Evolution of groundwater-lake system in typical open-pit coal mine area

Author

Liu Baiwei, Li Yi, Dong Shaogang, Wang Chao, Zhou Yuze, LI Zhengkui, and Xia Manhong

Subjects
Mining engineering, business.industry, Earth and Planetary Sciences (miscellaneous), Coal mining, Environmental science, Aquatic Science, business, Pollution, Groundwater, Water Science and Technology
Published
2020

16. Design of single mode fiber optic nutation tracking coupling system

Author

王睿扬 Wang Rui-yang, 于笑楠 Yu Xiaonan, 王 超 Wang Chao, 吴天琦 Wu Tian-qi, and 佟首峰 Tong Shoufeng

Subjects
Physics, Optics, business.industry, Nutation, Signal Processing, Single-mode optical fiber, Coupling system, Tracking (particle physics), business, Instrumentation, Electronic, Optical and Magnetic Materials
Published
2020

18. Improvement of transmission efficiency in microwave photonic links using EDFA

Author

Xiao Yong-chuan, YU Cai-bin, Zhang hao, QU Peng-fei, Wang chao, Sun Li-jun, and Zhang Ya-biao

Subjects
Optical amplifier, Materials science, Transmission (telecommunications), business.industry, Optoelectronics, business, Atomic and Molecular Physics, and Optics, Microwave photonics
Published
2020

19. CFD Simulation and Optimization of a Pneumatic Wheat Seeding Device

Author

Jingxu Wang, Lu Caiyun, Qingjie Wang, Jin He, Hongwen Li, and Wang Chao

Subjects
Materials science, General Computer Science, Nozzle, Airflow, Computational fluid dynamics, CFD technology, 01 natural sciences, 010305 fluids & plasmas, Acceleration, 0103 physical sciences, General Materials Science, Electrical and Electronic Engineering, response surface analysis, Computer simulation, Atmospheric pressure, business.industry, airflow field, General Engineering, 04 agricultural and veterinary sciences, Mechanics, pneumatic seeding device, Wheat, 040103 agronomy & agriculture, Compressibility, 0401 agriculture, forestry, and fisheries, Seeding, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971
Abstract

To improve the performance of pneumatic wheat seeding devices with the goal of achieving pneumatic wheat seeding in soil conditions with high moisture content and heavy clay texture in rice-wheat rotation areas, a simulation optimization study of a pneumatic wheat seeding device was carried out using computational fluid dynamics. In this model, airflow was described by ANSYS Fluent software as a continuous compressible gas phase. The effects of accelerating air pressure, throat distance and nozzle diameter on the steady airflow velocity, the steady airflow length and the inlet 2 negative pressure of airflow field were studied, and a response surface analysis was applied to optimize the pneumatic wheat seeding device. The optimal parameter combination was achieved, which was an acceleration pressure of 700 kPa, a throat distance of 20 mm, a nozzle diameter of 7.2 mm and an acceleration pressure of 700 kPa. Comparative verification results showed that the steady airflow velocity, the steady airflow length and inlet 2 negative pressure of the optimized pneumatic wheat seeding device were 718 m/s, 182 mm and 0.49 kPa by simulations, which were 37%, 3% and 17% greater than those of the original device, respectively. This finding illustrates that the CFD model could describe the characteristics of airflow field well in a pneumatic seeding device and that the regression model for parameter optimization was reliable. Numerical simulation of the airflow field based on CFD approach can provide a theoretical basis for improving the operating performance of a pneumatic seeding device.

Published
2020

20. Transfer Learning Based on Joint Feature Matching and Adversarial Networks

Author

Tuo Hongya (庹红娅), Zhong Haowen (钟昊文), Wang Chao (王超), Qiao Lingfeng (乔凌峰), Jing Zhongliang, and Hu Jian (胡健)

Subjects
Multidisciplinary, business.industry, Computer science, Stability (learning theory), 02 engineering and technology, 010501 environmental sciences, Machine learning, computer.software_genre, 01 natural sciences, Convolutional neural network, Domain (software engineering), Adversarial system, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Transfer of learning, Gradient descent, Joint (audio engineering), computer, Feature matching, 0105 earth and related environmental sciences
Abstract

Domain adaptation and adversarial networks are two main approaches for transfer learning. Domain adaptation methods match the mean values of source and target domains, which requires a very large batch size during training. However, adversarial networks are usually unstable when training. In this paper, we propose a joint method of feature matching and adversarial networks to reduce domain discrepancy and mine domaininvariant features from the local and global aspects. At the same time, our method improves the stability of training. Moreover, the method is embedded into a unified convolutional neural network that can be easily optimized by gradient descent. Experimental results show that our joint method can yield the state-of-the-art results on three common public datasets.

Published
2019

21. Multi-Objective Optimization Method for the Shape of Large-Space Buildings Dominated by Solar Energy Gain in the Early Design Stage

Author

Wang Chao, Chen Yu, Zhang Lingling, and Zhang Longwei

Subjects
Economics and Econometrics, Mathematical optimization, Renewable Energy, Sustainability and the Environment, Computer science, business.industry, solar radiation, building shape, Energy Engineering and Power Technology, space efficiency, surface coefficient, Solar energy, Multi-objective optimization, General Works, Fuel Technology, multi-objective optimization, Black box, Parametric model, Genetic algorithm, Shape optimization, White box, large-space building, business, Efficient energy use
Abstract

Large-space buildings feature a sizable interface for receiving solar radiation, and optimizing their shape in the early design stage can effectively increase their solar energy harvest while considering both energy efficiency and space utilization. A large-space building shape optimization method was developed based on the “modeling-calculation-optimization” process to transform the “black box” mode in traditional design into a “white box” mode. First, a two-level node control system containing core space variables and envelope variables is employed to construct a parametric model of the shape of a large-space building. Second, three key indicators, i.e., annual solar radiation, surface coefficient, and space efficiency, are used to representatively quantify the performance in terms of sunlight capture, energy efficiency, and space utilization. Finally, a multi-objective genetic algorithm is applied to iteratively optimize the building shape, and the Pareto Frontier formed by the optimization results provides the designer with sufficient alternatives and can be used to assess the performance of different shapes. Further comparative analysis of the optimization results can reveal the typical shape characteristics of the optimized solutions and potentially determine the key variables affecting building performance. In a case study of six large-space buildings with typical shapes, the solar radiation of the optimized building shape solutions was 13.58–39.74% higher than that of reference buildings 1 and 3; compared with reference buildings 2 and 4, the optimized solutions also achieved an optimal balance of the three key indicators. The results show that the optimization method can effectively improve the comprehensive performance of buildings.

Published
2021

22. Fracture analysis of AA6061-graphite composite for the application of helicopter rotor blade

Author

Md. Arefin Kowser, Chao Wang Chao Wang, M. Sheik Mohamed Jinnah, and Saleemsab Doddamani

Subjects
Simulations, Materials science, Blade (geometry), Structural engineering (General), business.industry, Rotor (electric), Tension (physics), Rotor blade, Mechanical Engineering, Metal matrix composite, TA630-695, Structural engineering, Fracture toughness, Al-graphite composite, law.invention, Mechanics of Materials, law, Fracture (geology), TJ1-1570, Graphite, Mechanical engineering and machinery, Helicopter rotor, business
Abstract

The main objective of the work is to study the fracture behavior of AA6061-graphite material using both experimental technique and finite element simulation by considering helicopter rotor blade as a case study. From the case study, it has been observed that the helicopter rotor blade, made of AA6061, has been failed at the threaded portion of the hole. Experimental fracture toughness is carried out using the compact tension specimens as per ASTM standard testing procedure. Modeling of compact tension specimens and the threaded portion of the bolt hole was utilized to analyze the fracture toughness using a simulation tool. From the results and the comparison, it is recommended to use AA6061-9wt% graphite material as a replacement of AA6061 in the application of main rotor blades of the helicopter.

Published
2021

23. Acupuncture methods for insomnia in the elderly: protocol for a systematic review and network meta-analysis

Author

Dong, Weitao, Zhang, Feng, Wu, Rong, He, Ximeng, Chen, Xingliang, Zhou, Hongchi, Gong, Tingting, and Wang, Chao

Subjects
Protocol (science), medicine.medical_specialty, business.industry, Meta-analysis, Insomnia, medicine, Physical therapy, Acupuncture, medicine.symptom, business
Abstract

Background: Insomnia remains one of the most common sleep disorders in the elderly, with high prevalence and substantial consequences for patients’ general health. Despite that increasing clinical trials have indicated that acupuncture seems to be effective for insomnia in the elderly, comparative efficacy and safety of different acupuncture methods for elderly individuals with insomnia has been unclear. Therefore, this protocol outlined a plan to evaluate and rank the efficacy and safety ofvarious acupuncture approaches for insomnia in the elderly.Methods: A systematic search of 8 bibliographic databases will be conducted from their inception to 31 October 2021, including Cochrane Library, MEDLINE (via PubMed), Embase, Web of Science, Chinese National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, and Chinese Biomedical Literature Database (CBM). Randomized controlled trials investigating acupuncture methods for insomnia in the elderly, published in English or Chinese will be included. The primary outcome is sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI). Two reviewers will independently perform study selection, data extraction and risk assessment of bias. The quality of included literatures will be appraised using Cochrane risk-of-bias tool (ROB 2.0). ADDIS (Aggregate Data Drug Information System) V.1.16.8 will be used to conduct Bayesian network meta-analysis. The quality of evidence will be evaluated using the Grading of Recommendations Assessment, Development and Evaluation System (GRADE).Discussion: In this study, the results will provide credible evidence to assess the efficacy and safety of acupuncture therapies for elderly patients with insomnia, assisting patients, physicians and clinical research investigators to select the most appropriate acupuncture method.Trial registration: The protocol has been registered at OSF (https://osf.io/3kjpq/) with a registration number DOI 10.17605/OSF.IO/3KJPQ.

Published
2021

24. RETRACTED ARTICLE: Analysis of stress and strain of surrounding rock in goaf based on GIS

Author

Wang Shuai, Su Yao, and Wang Chao

Subjects
business.industry, Stress–strain curve, Coal mining, Deformation (meteorology), Overburden pressure, Stress (mechanics), Overburden, Mining engineering, Fracture (geology), General Earth and Planetary Sciences, Cylinder stress, business, Geology, General Environmental Science
Abstract

In recent years, with the continuous construction of highways in Southwest China, highway tunnels inevitably have to pass through mine tunnels, which often happen. The tunnel passing through the coal mining area has an adverse impact on the stability of the rock around the tunnel, which leads to the instability of the rock around the tunnel and may collapse. It is of great practical significance to analyze and study the stability of surrounding rock in the section of highway tunnel crossing the mining area for ensuring the safety construction of tunnel crossing the mining area. With the continuous excavation of coal seam, the rock above the goaf will bend, fracture, and collapse. By monitoring the deformation of load and analyzing the parameters of geotechnical properties, it can effectively identify the deformation, overload damage, and rock cracks and other related problems. The optical fiber monitoring data of overburden is input into GIS to obtain the GIS state map in the process of coal mining. This paper discusses the properties of overload deformation and damage, and the division method of deformation zone. The existing control methods mainly follow the vertical stress, and cannot monitor the three-dimensional stress. In addition, most of these devices use electronic identification method, which has the disadvantage of weak anti electromagnetic interference ability, and cannot meet the requirements of three-dimensional stress monitoring. In this study, through the development of GIS technology, combined with the theory of flow stress and recovery, and aiming at the characteristics of FBG axial stress sensitivity, a three-dimensional stress-strain monitoring method of surrounding rock analysis based on FBG sensing technology is proposed. Based on this principle, a cubic three-dimensional stress FBG sensor is developed. This paper studies the stress-strain analysis of surrounding rock in goaf, and applies it to practical life, in order to promote its development and application.

Published
2021

25. Connection between the Gut Microbiota of Largemouth Bass (Micropterus salmoides) and Microbiota of the Pond Culture Environment

Author

Zeng Yanyi, Liu Qianfu, Lai Zini, Mai Yongzhan, Yang Wanling, Gao Yuan, Wang Chao, Erchun Liu, and Li Haiyan

Subjects
Microbiology (medical), food.ingredient, QH301-705.5, largemouth bass, Zoology, Micropterus, Biology, Gut flora, Microbiology, digestive system, Article, Bass (fish), food, fluids and secretions, Aquaculture, Virology, parasitic diseases, Biology (General), gut microbiota, Culture environment, business.industry, fungi, biology.organism_classification, stomatognathic diseases, Southern china, aquaculture, Fish growth, business, Bacteria, environment microbiota
Abstract

The vital role of the gut microbiota in fish growth, development, immunity, and health has been largely confirmed. However, the interaction between environmental microbiota and the gut microbiota of aquaculture species remains unclear. Therefore, we analyzed the gut microbiota of largemouth bass (Micropterus salmoides) collected from subtropical ponds in southern China, as well as the pond water and aquatic sediment microbiota, using high-throughput sequencing of the 16S rRNA gene. Our results demonstrated significant differences in the compositions of pond water, sediment, and the gut microbiota of largemouth bass. Moreover, these compositions changed throughout the culture period. Only approximately 1% of the bacterial species in the pond sediment and gut microbiota were exchanged. However, the bacterial proportion of the gut microbiota from pond water microbiota was approximately 7% in samples collected in June and August, which increased markedly to 73% in October. Similarly, the proportion of bacteria in the pond water microbiota from the gut microbiota was approximately 12% in June and August, which increased to 45% in October. The study findings provide basic information for understanding the interactions between environmental microbiota and the gut microbiota of cultured fish, which may contribute to improved pond culture practices for largemouth bass.

Published
2021
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26. Design of multi-mode communication and clustering protocol for underwater acoustic network

Author

Wang Zhenduo, Xie Zhe, Wang Chao, Zhu Xiaohui, Zhang Hong-tao, Zhou Wu, and Wang Huakui

Subjects
Signal processing, Software, Computer science, business.industry, Adaptive system, Real-time computing, ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, Open architecture, Underwater, Cluster analysis, business, Protocol (object-oriented programming), Underwater acoustic communication
Abstract

Underwater acoustic sensor networks have wide application prospects in both commercial and military fields, and can be applied to marine environment monitoring, seabed resources exploration, disaster prevention, aided navigation, distributed detection, etc. In this paper, the software defined open architecture of acoustic modem, adaptive adjustment of multi-mode communication, and clustering protocol are given. The effectiveness of these methods is verified by an underwater acoustic communication network field trial.

Published
2021

27. Situational Awareness Platform Based on Multi-source Vulnerability Fusion

Author

Gong Jia-Yu, Chen Min-Gang, and Wang Chao

Subjects
Online and offline, Identification (information), Data processing, Data visualization, Situation awareness, Computer science, business.industry, Human–computer interaction, business, Sensor fusion, Visualization, Vulnerability (computing)
Abstract

With the increasingly severe cyberspace security situation, situational awareness has become a focus in the field of Cyberspace Security. The effect of situational awareness decision-making depends on the breadth and depth of data, the rationality of data processing, and the clarity and intuition of the presentation method. This paper designs a situational awareness platform, introduces vulnerability identification and fusion, situational awareness and data visualization. In particular, the data fusion method of online and offline multi-source vulnerability is proposed to enrich the data sources, and the soft splicing technology of display arrays is used to improve the visual compatibility under high resolution. In this paper, the data processing method is continuously optimized through experiments, which improves the overall processing efficiency and prediction accuracy of the platform.

Published
2021

28. Weak Robust Dispatch Model of Power System Considering Load Shedding of Centralized Renewable Energy Plants

Author

Li Hongqiang, Xin Ma, Zhang Di, Yang Huibiao, Xue Fei, and Wang Chao

Subjects
Consumption (economics), Electric power system, Computer science, Robustness (computer science), business.industry, Automatic frequency control, Scheduling (production processes), Thermal power station, business, Reliability engineering, Power (physics), Renewable energy
Abstract

Under the current environment, the intermittent and fluctuating of centralized renewable energy plants (CREPs) power output is large. The requirement of full consumption of CREPs brings great challenges to the adjustment of power grid operation modes and the spinning reserve of thermal power units. Considering CREPs participates in auxiliary frequency regulation and reserve considering load shedding of CREPs, this way will reduce the reserve pressure and the operation cost, and is an effective way to ensure the safety and stability of the system and the efficient consumption of renewable energy. To improve the problem that the results of the traditional robust model are too conservative after considering the uncertainty of renewable energy output, this paper proposes a weak robust scheduling model considering the CREP’s participation in system reserve and the uncertainty of CREP’s power prediction, and establishes the reserve constraints of CREPs and thermal units. Finally, the effectiveness of the proposed model is verified by the IEEE-39 bus test case with several CREPs.

Published
2021

29. Application of WebGIS in distribution network dispatching management

Author

Yong Zhang, JianDian Chen, Bo Li, Chunhua Xu, Wang Chao, and Ruifeng Zhao

Subjects
Measurement method, Technical support, Distribution networks, business.industry, Process (engineering), Computer science, Distributed computing, business, Automation, Management process, Power equipment, Scheduling (computing)
Abstract

The wide application of WebGIS provides technical support and guarantee for the optimization process of distribution network dispatching management method. In order to make a more systematic analysis of its use process, the application of WebGIS in distribution network dispatching management is studied. Mapx and Mapxtreme are selected as development tools to build distribution network geographic information platform. The load of power equipment in distribution network is analyzed by similarity measurement method, which is the basis of distribution network dispatching management. The objective function of distribution network scheduling management is constructed, and the pollen pollination algorithm is used to complete the distribution network scheduling management process. The test results show that the application of WebGIS in distribution network dispatching management is scientific and feasible, which can alleviate the problems caused by the lack of performance of conventional methods and other technical methods to a certain extent.

Published
2021

30. Fabrication of Nanostructured Skutterudite-Based Thermoelectric Module and Design of a Maximum Power Point Tracking System for the Thermoelectric Pile

Author

Liangwei Fu, Cheng Fuqiang, Guo Xiaohong, Wang Chao, Weitao Zhang, Han Xing, Kun Zheng, Yuan Xian, Lin Shi, and Gao Yu

Subjects
Fabrication, Materials science, business.industry, 010401 analytical chemistry, engineering.material, Thermoelectric materials, 01 natural sciences, Maximum power point tracking, 0104 chemical sciences, Thermoelectric generator, Thermoelectric effect, engineering, Optoelectronics, Skutterudite, Electrical and Electronic Engineering, business, Instrumentation, Power management system, Voltage
Abstract

In a bid to realize the applications of skutterudite-based thermoelectric modules and maximally utilize the output power of its thermoelectric pile, first, nanocomposite n-type skutterudite-based material was prepared by adding the nano phase AgSbTe2, giving rise to a dimensionless figure-of-merit of 0.91. Then, skutterudite-based modules were fabricated and tested, which showed high area-ratio power of nearly 0.244W · cm−2. At last, in order to obtain the maximum output power for the skutterudite-based thermoelectric pile and improve the energy efficiency, a power management system based on maximum power point tracking (MPPT) technology was designed and tested. The perturbation observation method was adopted for the MPPT. Test results showed that the maximum efficiency of the system was over 98%. Meantime, when the open-circuit voltage of the thermoelectric pile was over 21.2 V, the system operating efficiency was larger than 90%.

Published
2019

31. FBXW5 reduction alleviates spinal cord injury (SCI) by blocking microglia activity: A mechanism involving p38 and JNK

Author

Wang Chao, Weiguo Li, and Pengfei Zhao

Subjects
Male, 0301 basic medicine, MAPK/ERK pathway, Spinal Cord Dorsal Horn, medicine.medical_specialty, MAP Kinase Kinase 4, p38 mitogen-activated protein kinases, Interleukin-1beta, Biophysics, Inflammation, p38 Mitogen-Activated Protein Kinases, Biochemistry, Rats, Sprague-Dawley, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Animals, RNA, Small Interfering, Molecular Biology, Spinal cord injury, Spinal Cord Injuries, Mitogen-Activated Protein Kinase 1, Gene knockdown, Mitogen-Activated Protein Kinase 3, Microglia, Interleukin-6, Tumor Necrosis Factor-alpha, business.industry, F-Box Proteins, Calcium-Binding Proteins, Microfilament Proteins, Interleukin, Genetic Therapy, Cell Biology, medicine.disease, Spinal cord, Rats, 030104 developmental biology, Endocrinology, medicine.anatomical_structure, Gene Expression Regulation, Hyperalgesia, 030220 oncology & carcinogenesis, Disease Progression, medicine.symptom, business, Signal Transduction
Abstract

Traumatic spinal cord injury (SCI) is a major cause of death and lifelong disability in the world. However, the pathological process of SCI has not been fully understood. F-box/WD repeat-containing protein 5 (FBXW5), a subunit of the SCF-type E3 ubiquitin ligase complex, plays an essential role in regulating various pathologies. However, little is known about the effects of FBXW5 on the progression of SCI. In this study, using a rodent model with SCI, we found that FBXW5 expression was markedly down-regulated in spinal dorsal horn of rats after SCI surgery. Rats with FBXW5 knockdown showed the improved paw withdrawal latency responding to thermal stimuli on the ipsilateral side while showed no significant influence on the basal threshold on the contralateral side. In addition, SCI-induced increase of pro-inflammatory cytokines, including tumor necrosis factor α (TNF-α), interleukin (IL)-1β and IL-6, was obviously decreased by FBXW5 knockdown, along with microglia inactivation as evidenced by the reduced expression of Iba-1. Moreover, immunofluorescent staining suggested that FBXW5 was co-localized with Iba-1 in spinal cord tissues of SCI rats. Furthermore, p38, Jun kinase (JNK) and extracellular signal-regulated kinase (ERK)-1/2 activation was significantly increased by SCI in spinal dosal horn of rats. Notably, FBXW5 knockdown markedly reduced the expression of phosphorylated p38 and JNK without affecting ERK1/2 activity in SCI rats. What's more, suppressing p38 and JNK activation significantly alleviated SCI-induced abnormal behavior in rats, along with reduced expression of pro-inflammatory cytokines. Taken together, these results provided evidence that down-regulation of FBXW5 was involved in the prevention of SCI.

Published
2019

32. Development of a novel autonomous lower extremity exoskeleton robot for walking assistance

Author

Nan Li, Xu Yong, Xinyu Wu, Linqing Xia, Yong He, and Wang Chao

Subjects
0209 industrial biotechnology, Computer Networks and Communications, Computer science, business.industry, 020208 electrical & electronic engineering, Wearable computer, 02 engineering and technology, Degrees of freedom (mechanics), Exoskeleton, 020901 industrial engineering & automation, Gait (human), User experience design, Hardware and Architecture, Control system, Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, Robot, Electrical and Electronic Engineering, business, Simulation, Balance (ability)
Abstract

Today, exoskeletons are widely applied to provide walking assistance for patients with lower limb motor incapacity. Most existing exoskeletons are under-actuated, resulting in a series of problems, e.g., interference and unnatural gait during walking. In this study, we propose a novel intelligent autonomous lower extremity exoskeleton (Auto-LEE), aiming at improving the user experience of wearable walking aids and extending their application range. Unlike traditional exoskeletons, Auto-LEE has 10 degrees of freedom, and all the joints are actuated independently by direct current motors, which allows the robot to maintain balance in aiding walking without extra support. The new exoskeleton is designed and developed with a modular structure concept and multi-modal human-robot interfaces are considered in the control system. To validate the ability of self-balancing bipedal walking, three general algorithms for generating walking patterns are researched, and a preliminary experiment is implemented.

Published
2019

33. Influencing factors of TFT-LCD gravity Mura

Author

王 超 Wang Chao and 王 健 Wang Jian

Subjects
Physics, Gravity (chemistry), Optics, Mura, Liquid-crystal display, Thin-film transistor, business.industry, law, Signal Processing, business, Instrumentation, Electronic, Optical and Magnetic Materials, law.invention
Published
2019

34. High-efficiency half-Heusler thermoelectric modules enabled by self-propagating synthesis and topologic structure optimization

Author

Chenxi Zhu, Ruiheng Liu, Gu Ming, Tiejun Zhu, Jing Chu, Fangfang Xu, Hui Huang, Lidong Chen, Xugui Xia, Xing Yunfei, Dongxu Yao, Shengqiang Bai, Yuping Zeng, Jinchen Liao, Wang Chao, Qihao Zhang, and Ctirad Uher

Subjects
Work (thermodynamics), Fabrication, Materials science, Renewable Energy, Sustainability and the Environment, business.industry, 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, Pollution, Finite element method, 0104 chemical sciences, Electricity generation, Thermoelectric generator, Nuclear Energy and Engineering, Heat recovery ventilation, Thermoelectric effect, Environmental Chemistry, Optoelectronics, Thermal stability, 0210 nano-technology, business
Abstract

Combining high thermoelectric (TE) performance, excellent mechanical properties, and good thermal stability, half-Heusler materials show great potential in real applications, such as industrial waste heat recovery. However, the materials synthesis technology developed in the laboratory scale environment cannot fulfil the requirements of massive device fabrication. In this work, a batch synthesis utilizing the self-propagating high-temperature synthesis (SHS) method was used to prepare state-of-the-art n-type Zr0.5Hf0.5NiSn0.985Sb0.015 and p-type Zr0.5Hf0.5CoSb0.8Sn0.2 half-Heusler alloys. Due to the nonequilibrium reaction process, dense dislocation arrays were introduced in both n-type and p-type materials, which greatly depressed the lattice thermal conductivity. As a consequence, the zT values of samples cut from ingots weighing a few hundreds of grams compared favorably with those prepared from few gram laboratory size pellets. Based on the high TE performance, a three-dimensional finite element model encompassing all relevant parameters was applied to optimize the topological structures of both a half-Heusler single-stage module and a half-Heusler/Bi2Te3 segmented module. The optimized modules attained record-high conversion efficiencies of 9.6% and 12.4% for the single-stage and the segmented module, respectively. The work documents a comprehensive processing of novel TE materials culminating in the assembly of efficient TE modules. As such, it paves the way for widespread commercial applications of TE power generation.

Published
2019

35. Analysis and improvement of TFT-LCD horizontal stripes defect

Author

王 超 Wang Chao and 姚之晓 Yao Zhi-xiao

Subjects
Materials science, Liquid-crystal display, Thin-film transistor, business.industry, law, Signal Processing, Optoelectronics, business, Instrumentation, Electronic, Optical and Magnetic Materials, law.invention
Published
2019

36. RETRACTED: Cloud-service decision tree classification for education platform

Author

Wang Junzheng and Wang Chao

Subjects
Scope (project management), Optimization algorithm, business.industry, Computer science, Cognitive Neuroscience, Decision tree, Experimental and Cognitive Psychology, Cloud computing, 02 engineering and technology, Domain (software engineering), Constraint (information theory), Artificial Intelligence, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Software
Abstract

Aiming at the NP hard problem existed in the university students' ideological education, this paper puts forward an optimization algorithm for the university students' ideological education based on the cloud-service decision tree classification algorithm. Firstly, it researches the ideological education model of university students, puts forward the optimized objective function and constraint of the university students' ideological education and establishes the optimized mathematical model, besides, it provides the multi-objective weight self-adaptation form; Secondly, it introduces the cloud-service decision tree classification algorithm, aiming at the problem that the fixed domain hunting scope of traditional cloud-service decision tree classification algorithm is not beneficial to enhance the algorithm hunting efficiency, to enhance the evolution efficiency of algorithm; finally, based on comparison experiment, it verifies the effectiveness of the algorithm, meanwhile, conducts systematic design on the algorithm in optimizing the university students' ideological education.

Published
2018

37. Association of general and central adiposity with blood pressure among Chinese adults

Author

Fu, Wenning, Cao, Shiyi, Liu, Bing, Li, Haibin, Song, Fujian, Gan, Yong, Li, Wenzhen, Wang, Longde, Opoku, Sampson, Yan, Shijiao, Yue, Wei, Yan, Feng, Wang, Chao, Li, Hui, Liu, Qiaoyan, Wang, Xiaojun, Wang, Zhihong, and Lu, Zuxun

Subjects
Adult, Male, Rural Population, China, Waist, Urban Population, Physiology, Cross-sectional study, Blood Pressure, 030204 cardiovascular system & hematology, Body Mass Index, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, Waist–hip ratio, Asian People, Linear regression, Internal Medicine, Humans, Medicine, 030212 general & internal medicine, Adiposity, Aged, Waist-Hip Ratio, business.industry, nutritional and metabolic diseases, Middle Aged, Circumference, Cross-Sectional Studies, Blood pressure, Central Adiposity, Female, Waist Circumference, Cardiology and Cardiovascular Medicine, business, Body mass index, Demography
Abstract

Background: The American Heart Association concluded that waist circumference was a better predictor of blood pressure risk than BMI in Asians. However, data are inconsistent and information in Chinese, the largest global population group, is limited. Methods: Data was obtained from the Chinese National Stroke Prevention Project Survey of a nationally representative sample of middle-aged and older Chinese adults. A total of 135 825 individuals not taking any antihypertensive drugs were included in this study. Multiple linear regression analyses were conducted to examine the association between blood pressure and parameters of general adiposity, including BMI, height-adjusted weight, and parameters of central adiposity, including waist circumference, hip circumference, waist–hip ratio, and waist–height ratio. Results were shown as mean difference in blood pressure associated with one standard deviation higher level of adiposity. Results: The overall means ± standard deviation of BMI and waist circumference were 24.3 ± 3.18 kg/m2 and 84.0 ± 8.88 cm, respectively. BMI seemed more strongly associated with SBP/DBP (4.22 mmHg/SD; 2.60 mmHg/SD) than central adiposity markers. In addition, there were sex differences. For men, waist circumference showed a stronger association with SBP/DBP than BMI (4.04 vs. 3.79, P

Published
2018

38. Goaf Gas Ignition Due to Hard and Thick Rock Stratum Fracture Friction Effects: A Case Study

Author

Zhang Zhongteng, Meng Dejian, Wang Chao, Zhi-jie Wen, and Qin Guangpeng

Subjects
business.industry, 0211 other engineering and technologies, Coal mining, Base (geometry), Soil Science, Geology, 02 engineering and technology, 010502 geochemistry & geophysics, Geotechnical Engineering and Engineering Geology, 01 natural sciences, Instability, law.invention, Ignition system, Breakage, law, Architecture, Fracture (geology), Geotechnical engineering, business, Roof, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Stratum
Abstract

When thick and hard sandstone strata overly high gassy coal seam, sometimes gas in the goaf will be ignited or exploded owing to the roof instability. Taking Xiakuotan coal mine as the engineering background, the roof samples were collected and the friction tests were conducted, the results of which were used to analyse the source of the gas ignition owing to the rock friction effect. In the paper, the roof is simplified as a bilateral fixed support with two opposite edges—one fixed and one simply supported—along the inclined direction of the coal seam. The occurrence condition of slide instability is studied base on O–X fracture theory and yield line analysis method. The relationship between the working-face boundary-support status and the roof slide and instability is analyzed. During the experimental process of hard sandstone friction, a high-temperature friction surface is more likely to ignite the gas than spark bundles and high-temperature rock dust, and it’s the main ignition source in the case of such gas incidents. During the roof strata initial broken process, the ratio of the broken rock size to rock thickness (di/h) is usually greater than 2.6, and in the periodic broken process, the ratio of di/h is usually less than 2. The top plate periodic failure is more prone to slip-off instability than the initial breakage. As compared with the roof strata fixed bearing side, the rock strata thickness required for the slide and instability on the simply supported side is smaller, and the roof strata on the simply supported side is easier to slide and destabilized. If the upper section adjacent to the working face has been excavated, the upper part of the slope is a danger zone for gas ignition owing to rock stratum friction effect.

Published
2018

39. Risk Assessment of Cascading Failure in Urban Power Grid Based on Probabilistic Power Flow

Author

Junji Bin, Bo Li, Ruifeng Zhao, Wang Chao, Jiantian Chen, Hou Zufeng, and Guanxin Qiu

Subjects
Wind power, Computer science, business.industry, Photovoltaic system, Probabilistic logic, Distributed power, Power-system protection, Fault (power engineering), business, Cascading failure, Power (physics), Reliability engineering
Abstract

With the development of distributed power generation, the fluctuation of its power output may bring a higher risk of serious cascading failure in an urban power grid with the change of natural conditions. The existing risk assessment methods fail to consider the fluctuation of distributed power generation. Therefore, this paper proposes a risk assessment method for cascading failures in urban power grids including distributed power generation and electric vehicles. Firstly, based on the probabilistic models of wind power, photovoltaic, and electric vehicles, the random power flow algorithm based on semi-invariants is applied to solve the power flow. And then, a fault chains model which can characterize cascading failures of urban power grids is established. According to the fault chains model, the probability of fault chains is determined by obtaining the probability density of line power flow, and the sum of load shedding control loss and island balance loss is taken as load loss capacity. The risk index is the product of occurrence probability and load loss capacity. Finally, take the IEEE39-bus system as an example, it is verified that the proposed method can consider the impact of distributed power output fluctuations on cascading failures, and realize rapid risk assessment, which has a positive contribution to prevent cascading failures of the urban power grid.

Published
2021

40. Research on Network Intrusion Detection Technology Based on DCGAN

Author

Wang Wenhui, Guo GuangXin, Wang Chao, and Dong JiaHan

Subjects
Discriminator, Computer science, business.industry, Pattern recognition, Sample (statistics), 02 engineering and technology, Intrusion detection system, Overfitting, Convolution, Data set, Statistical classification, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Generator (mathematics)
Abstract

Traditional network intrusion detection algorithms tend to lack learning in a small number of classes due to data imbalance. In reality, intrusion detection systems pay more attention to the detection accuracy of a small number of classes, that is, attack samples. In order to improve the detection accuracy of intrusion detection system, a network intrusion detection method based on deep convolution generative adversarial networks (DCGAN) was proposed. Firstly, the sample data of network intrusion is preprocessed, and the character data set is replaced by image data. Then, DCGAN is used to train and test the sample data. Both the generator and the discriminator are constructed by CNN. The generator is used to construct attack samples, balance the number of training samples, and solve the over fitting problem caused by insufficient training samples. Finally, the trained discriminator is used to test the classification accuracy of samples. Experimental results show that, compared with the traditional algorithm, the proposed algorithm can not only balance the detection accuracy of various types of samples, but also has higher detection accuracy for attack samples.

Published
2021

41. Image-based method for the angular vibration measurement of a linear array camera

Author

Wang Chunxue, Jia Hongguang, Yu Yue, Li Ming, Wang Chao, and Xue Zhi-Peng

Subjects
business.industry, Computer science, Image quality, Orientation (computer vision), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Image processing, 01 natural sciences, Atomic and Molecular Physics, and Optics, Edge detection, 010309 optics, Vibration isolation, Optics, Circular motion, Computer Science::Computer Vision and Pattern Recognition, 0103 physical sciences, Digital image processing, Computer vision, Artificial intelligence, Electrical and Electronic Engineering, business, Engineering (miscellaneous), ComputingMethodologies_COMPUTERGRAPHICS
Abstract

Measurements of angular vibration of aerial cameras in a variety of operating conditions are critical to analyze the performance of the vibration isolation system. Instead of using an additional optical system to measure the angular motion of the camera, an image-based and easy-to-implement method is proposed for the linear array camera to measure the image motions captured by the camera directly. The natural frequencies of the vibration isolation were also measured by laboratory vibration test. For image vibration measuring, the angular vibration is represented in image motion by the relationship between the image motion and angular motion of the camera. Based on the pushbroom imaging principle, the image motion at the edge of the foreground image of the linear object is extracted using image processing technology including image segment and edge detection methods. Then the image motion is analyzed in the time and frequency domains. The proposed method has been successfully demonstrated for the angular vibration measurement by a flight test. The results of the vibration sensors and the position and orientation system of the flight tests are also given to validate the effectiveness and accuracy of the proposed approach.

Published
2021

42. Protein Function Prediction with Deep Neural Learning

Author

Jiao Jun, Ning Yang, Minglei Hu, Wang Chao, Gu Lichuan, Hongwei Zhang, Hui Wang, and Zhao Zihao

Subjects
Text mining, business.industry, Computer science, Neural learning, Protein function prediction, Artificial intelligence, business, Machine learning, computer.software_genre, computer
Abstract

Background: The function of protein is directly related to its structure, and plays a pivotal role in the entire life process. The protein interaction network controls almost all biological cell processes while fulfilling most of the biological functions. In fact, protein function prediction can be regarded as a multi-label classification problem to fill the gap between a huge number of protein sequences and known functions. It is not only a key issue in related research fields, but also a long-standing challenge. Protein function prediction with Deep Neural Network (DNN) almost study data set with small scale proteins based on Gene Ontology (GO). They usually dig relationships between protein features and function tags. It still needs further study for large-scale protein to find useful prediction approaches.Methods: This paper proposed a protein function prediction approach with DNN which used Grasshopper Optimization Algorithm (GOA), Intuitionistic Fuzzy c-Means (IFCM), Kernel Principal Component Analysis (KPCA) and DNN (IGP-DNN). The features in protein function modules were extracted by combining GOA and IFCM. The KPCA was used to reduce the dimensions of features in protein properties. Both features were integrated to enrich the features information and the integrated features were input into the DNN model. The protein function modules were classified to predict function by computing in hiding level of DNN.Results and conclusion: IGP-DNN combines the advantages of IFCM-GOA and DNN. The combination of IFCM and GOA not only avoids falling into local optimal when extracting function module feature and reduces the over-sensitivity of IFCM for clustering center, but also improves the precision of the protein function module feature extraction. This paper proposes a protein function prediction approach based on DNN. In the model, protein features are composed of the protein function module features that are extracted by using IFCM-GOA and the protein property features that are reduced dimensions by using KPCA to address the noise sensitivity and the other problems during predicting protein function.

Published
2021

43. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1

Author

Klionsky, Daniel, Abdel-Aziz, Amal Kamal, Abdelfatah, Sara, Abdellatif, Mahmoud, Abdoli, Asghar, Abel, Steffen, Abeliovich, Hagai, Abildgaard, Marie, Abudu, Yakubu Princely, Acevedo-Arozena, Abraham, Adamopoulos, Iannis, Adeli, Khosrow, Adolph, Timon, Adornetto, Annagrazia, Aflaki, Elma, Agam, Galila, Agarwal, Anupam, Aggarwal, Bharat, Agnello, Maria, Agostinis, Patrizia, Agrewala, Javed, Agrotis, Alexander, Aguilar, Patricia, Ahmad, S Tariq, Ahmed, Zubair, Ahumada-Castro, Ulises, Aits, Sonja, Aizawa, Shu, Akkoc, Yunus, Akoumianaki, Tonia, Akpinar, Hafize Aysin, Al-Abd, Ahmed, Al-Akra, Lina, Al-Gharaibeh, Abeer, Alaoui-Jamali, Moulay, Alberti, Simon, Alcocer-Gómez, Elísabet, Alessandri, Cristiano, Ali, Muhammad, Alim Al-Bari, M Abdul, Aliwaini, Saeb, Alizadeh, Javad, Almacellas, Eugènia, Almasan, Alexandru, Alonso, Alicia, Alonso, Guillermo, Altan-Bonnet, Nihal, Altieri, Dario, Álvarez, Élida, Alves, Sara, Alves Da Costa, Cristine, Alzaharna, Mazen, Amadio, Marialaura, Amantini, Consuelo, Amaral, Cristina, Ambrosio, Susanna, Amer, Amal, Ammanathan, Veena, An, Zhenyi, Andersen, Stig, Andrabi, Shaida, Andrade-Silva, Magaiver, Andres, Allen, Angelini, Sabrina, Ann, David, Anozie, Uche, Ansari, Mohammad, Antas, Pedro, Antebi, Adam, Antón, Zuriñe, Anwar, Tahira, Apetoh, Lionel, Apostolova, Nadezda, Araki, Toshiyuki, Araki, Yasuhiro, Arasaki, Kohei, Araújo, Wagner, Araya, Jun, Arden, Catherine, Arévalo, Maria-Angeles, Arguelles, Sandro, Arias, Esperanza, Arikkath, Jyothi, Arimoto, Hirokazu, Ariosa, Aileen, Armstrong-James, Darius, Arnauné-Pelloquin, Laetitia, Aroca, Angeles, Arroyo, Daniela, Arsov, Ivica, Artero, Rubén, Asaro, Dalia Maria Lucia, Aschner, Michael, Ashrafizadeh, Milad, Ashur-Fabian, Osnat, Atanasov, Atanas, Au, Alicia, Auberger, Patrick, Auner, Holger, Aurelian, Laure, Autelli, Riccardo, Avagliano, Laura, Ávalos, Yenniffer, Aveic, Sanja, Aveleira, Célia Alexandra, Avin-Wittenberg, Tamar, Aydin, Yucel, Ayton, Scott, Ayyadevara, Srinivas, Azzopardi, Maria, Baba, Misuzu, Backer, Jonathan, Backues, Steven, Bae, Dong-Hun, Bae, Ok-Nam, Bae, Soo Han, Baehrecke, Eric, Baek, Ahruem, Baek, Seung-Hoon, Baek, Sung Hee, Bagetta, Giacinto, Bagniewska-Zadworna, Agnieszka, Bai, Hua, Bai, Jie, Bai, Xiyuan, Bai, Yidong, Bairagi, Nandadulal, Baksi, Shounak, Balbi, Teresa, Baldari, Cosima, Balduini, Walter, Ballabio, Andrea, Ballester, Maria, Balazadeh, Salma, Balzan, Rena, Bandopadhyay, Rina, Banerjee, Sreeparna, Banerjee, Sulagna, Bánréti, Ágnes, Bao, Yan, Baptista, Mauricio, Baracca, Alessandra, Barbati, Cristiana, Bargiela, Ariadna, Barilà, Daniela, Barlow, Peter, Barmada, Sami, Barreiro, Esther, Barreto, George, Bartek, Jiri, Bartel, Bonnie, Bartolome, Alberto, Barve, Gaurav, Basagoudanavar, Suresh, Bassham, Diane, Bast, Robert, Basu, Alakananda, Batoko, Henri, Batten, Isabella, Baulieu, Etienne, Baumgarner, Bradley, Bayry, Jagadeesh, Beale, Rupert, Beau, Isabelle, Beaumatin, Florian, Bechara, Luiz, Beck, George, Beers, Michael, Begun, Jakob, Behrends, Christian, Behrens, Georg, Bei, Roberto, Bejarano, Eloy, Bel, Shai, Behl, Christian, Belaid, Amine, Belgareh-Touzé, Naïma, Bellarosa, Cristina, Belleudi, Francesca, Belló Pérez, Melissa, Bello-Morales, Raquel, Beltran, Jackeline Soares de Oliveira, Beltran, Sebastián, Benbrook, Doris Mangiaracina, Bendorius, Mykolas, Benitez, Bruno, Benito-Cuesta, Irene, Bensalem, Julien, Berchtold, Martin, Berezowska, Sabina, Bergamaschi, Daniele, Bergami, Matteo, Bergmann, Andreas, Berliocchi, Laura, Berlioz-Torrent, Clarisse, Bernard, Amélie, Berthoux, Lionel, Besirli, Cagri, Besteiro, Sebastien, Betin, Virginie, Beyaert, Rudi, Bezbradica, Jelena, Bhaskar, Kiran, Bhatia-Kissova, Ingrid, Bhattacharya, Resham, Bhattacharya, Sujoy, Bhattacharyya, Shalmoli, Bhuiyan, Md Shenuarin, Bhutia, Sujit Kumar, Bi, Lanrong, Bi, Xiaolin, Biden, Trevor, Bijian, Krikor, Billes, Viktor, Binart, Nadine, Bincoletto, Claudia, Birgisdottir, Asa, Bjorkoy, Geir, Blanco, Gonzalo, Blas-Garcia, Ana, Blasiak, Janusz, Blomgran, Robert, Blomgren, Klas, Blum, Janice, Boada-Romero, Emilio, Boban, Mirta, Boesze-Battaglia, Kathleen, Boeuf, Philippe, Boland, Barry, Bomont, Pascale, Bonaldo, Paolo, Bonam, Srinivasa Reddy, Bonfili, Laura, Bonifacino, Juan, Boone, Brian, Bootman, Martin, Bordi, Matteo, Borner, Christoph, Bornhauser, Beat, Borthakur, Gautam, Bosch, Jürgen, Bose, Santanu, botana, luis, Botas, Juan, Boulanger, Chantal, Boulton, Michael, Bourdenx, Mathieu, Bourgeois, Benjamin, Bourke, Nollaig, Bousquet, Guilhem, Boya, Patricia, Bozhkov, Peter, Bozi, Luiz, Bozkurt, Tolga, Brackney, Doug, Brandts, Christian, Braun, Ralf, Braus, Gerhard, Bravo-Sagua, Roberto, Bravo-San Pedro, José, Brest, Patrick, Bringer, Marie-Agnès, Briones-Herrera, Alfredo, Broaddus, V Courtney, Brodersen, Peter, Brodsky, Jeffrey, Brody, Steven, Bronson, Paola, Bronstein, Jeff, Brown, Carolyn, Brown, Rhoderick, Brum, Patricia, Brumell, John, Brunetti-Pierri, Nicola, Bruno, Daniele, Bryson-Richardson, Robert, Bucci, Cecilia, 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Chengyu, Liang, Qiangrong, Liang, Weicheng, Liang, Yongheng, Liang, YongTian, Liao, Guanghong, Liao, Lujian, Liao, Mingzhi, Liao, Yung-Feng, Librizzi, Mariangela, Lie, Pearl, Lilly, Mary, Lim, Hyunjung, Lima, Thania, Limana, Federica, Lin, Chao, Lin, Chih-Wen, Lin, Dar-Shong, Lin, Fu-Cheng, Lin, Jiandie, Lin, Kurt, Lin, Kwang-Huei, Lin, Liang-Tzung, LIN, Pei-Hui, Lin, Qiong, Lin, Shaofeng, Lin, Su-Ju, Lin, Wenyu, Lin, Xueying, Lin, Yao-Xin, Lin, Yee-Shin, Linden, Rafael, Lindner, Paula, Ling, Shuo-Chien, Lingor, Paul, Linnemann, Amelia, Liou, Yih-Cherng, Lipinski, Marta, Lipovšek, Saška, Lira, Vitor, Lisiak, Natalia, Liton, Paloma, Liu, Chao, Liu, Ching-Hsuan, Liu, Chun-Feng, Liu, Cui Hua, Liu, Fang, Liu, Hao, Liu, Hsiao-Sheng, Liu, Hua-feng, Liu, Huifang, Liu, Jia, Liu, Jing, Liu, Julia, Liu, Leyuan, Liu, Longhua, Liu, Meilian, Liu, Qin, Liu, Wei, Liu, Wende, Liu, Xiao-Hong, Liu, Xiaodong, Liu, Xingguo, Liu, Xu, Liu, Xuedong, Liu, Yanfen, Liu, Yang, Liu, Yueyang, Liu, Yule, 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Jiangang, Shen, Ming, Shen, Weili, Shen, Zheni, Sheng, Rui, Sheng, Zhi, Sheng, Zu-Hang, Shi, Jianjian, Shi, Xiaobing, Shi, Ying-Hong, Shiba-Fukushima, Kahori, Shieh, Jeng-Jer, Shimada, Yohta, Shimizu, Shigeomi, Shimozawa, Makoto, Shintani, Takahiro, Shoemaker, Christopher, Shojaei, Shahla, Shoji, Ikuo, Shravage, Bhupendra, Shridhar, Viji, Shu, Chih-Wen, Shu, Hong-Bing, Shui, Ke, Shukla, Arvind, Shutt, Timothy, Sica, Valentina, Siddiqui, Aleem, Sierra, Amanda, Sierra-Torre, Virginia, Signorelli, Santiago, Sil, Payel, Silva, Bruno, Silva, Johnatas, Silva-Pavez, Eduardo, Silvente-Poirot, Sandrine, Simmonds, Rachel, Simon, Anna Katharina, Simon, Hans-Uwe, Simons, Matias, Singh, Anurag, Singh, Lalit, Singh, Rajat, Singh, Shivendra, Singh, Shrawan, Singh, Sudha, Singh, Sunaina, Singh, Surinder Pal, Sinha, Debasish, Sinha, Rohit Anthony, Sinha, Sangita, Sirko, Agnieszka, Sirohi, Kapil, Sivridis, Efthimios, Skendros, Panagiotis, Skirycz, Aleksandra, Slaninová, Iva, Smaili, Soraya, Smertenko, Andrei, Smith, Matthew, Soenen, Stefaan, Sohn, Eun Jung, Sok, Sophia, Solaini, Giancarlo, Soldati, Thierry, Soleimanpour, Scott, Soler, Rosa, Solovchenko, Alexei, Somarelli, Jason, Sonawane, Avinash, Song, Fuyong, Song, Hyun Kyu, Song, Ju-Xian, Song, Kunhua, Song, Zhiyin, Soria, Leandro, Sorice, Maurizio, Soukas, Alexander, Soukup, Sandra-Fausia, Sousa, Diana, Sousa, Nadia, Spagnuolo, Paul, Spector, Stephen, Srinivas Bharath, M., St Clair, Daret, Stagni, Venturina, Staiano, Leopoldo, Stalnecker, Clint, Stankov, Metodi, Stathopulos, Peter, Stefan, Katja, Stefan, Sven Marcel, Stefanis, Leonidas, Steffan, Joan, Steinkasserer, Alexander, Stenmark, Harald, Sterneckert, Jared, Stevens, Craig, Stoka, Veronika, Storch, Stephan, Stork, Björn, Strappazzon, Flavie, Strohecker, Anne Marie, Stupack, Dwayne, Su, Huanxing, Su, Ling-Yan, Su, Longxiang, Suarez-Fontes, Ana, Subauste, Carlos, Subbian, Selvakumar, Subirada, Paula, Sudhandiran, Ganapasam, Sue, Carolyn, Sui, Xinbing, Summers, Corey, Sun, Guangchao, Sun, Jun, SUN, Kang, Sun, Meng-xiang, Sun, Qiming, Sun, Yi, Sun, Zhongjie, Sunahara, Karen, Sundberg, Eva, Susztak, Katalin, Sutovsky, Peter, Suzuki, Hidekazu, Sweeney, Gary, Symons, J David, Sze, Stephen Cho Wing, Szewczyk, Nathaniel, Tabęcka-Łonczynska, Anna, Tabolacci, Claudio, Tacke, Frank, Taegtmeyer, Heinrich, Tafani, Marco, Tagaya, Mitsuo, Tai, Haoran, Tait, Stephen, Takahashi, Yoshinori, Takats, Szabolcs, Talwar, Priti, Tam, Chit, Tam, Shing Yau, Tampellini, Davide, Tamura, Atsushi, Tan, Chong Teik, Tan, Eng-King, Tan, Ya-Qin, Tanaka, Masaki, Tanaka, Motomasa, Tang, Daolin, Tang, Jingfeng, Tang, Tie-Shan, Tanida, Isei, Tao, Zhipeng, Taouis, Mohammed, Tatenhorst, Lars, Tavernarakis, Nektarios, Taylor, Allen, Taylor, Gregory, Taylor, Joan, Tchetina, Elena, Tee, Andrew, Tegeder, Irmgard, Teis, David, Teixeira, Natercia, Teixeira-Clerc, Fatima, Tekirdag, Kumsal, Tencomnao, Tewin, Tenreiro, Sandra, Tepikin, Alexei, Testillano, Pilar, Tettamanti, Gianluca, Tharaux, Pierre-Louis, Thedieck, Kathrin, Thekkinghat, Arvind, Thellung, Stefano, Thinwa, Josephine, Thirumalaikumar, V.P., Thomas, Sufi Mary, Thomes, Paul, Thorburn, Andrew, Thukral, Lipi, Thum, Thomas, Thumm, Michael, Tian, Ling, Tichy, Ales, Till, Andreas, Timmerman, Vincent, Titorenko, Vladimir, Todi, Sokol, Todorova, Krassimira, Toivonen, Janne, Tomaipitinca, Luana, Tomar, Dhanendra, Tomas-Zapico, Cristina, Tomić, Sergej, Tong, Benjamin Chun-Kit, Tong, Chao, Tong, Xin, Tooze, Sharon, Torgersen, Maria, Torii, Satoru, Torres-López, Liliana, Torriglia, Alicia, Towers, Christina, Towns, Roberto, Toyokuni, Shinya, Trajkovic, Vladimir, Tramontano, Donatella, Tran, Quynh-Giao, Travassos, Leonardo, Trelford, Charles, Tremel, Shirley, Trougakos, Ioannis, Tsao, Betty, Tschan, Mario, Tse, Hung-Fat, Tse, Tak Fu, Tsugawa, Hitoshi, Tsvetkov, Andrey, Tumbarello, David, Tumtas, Yasin, Tuñón, María, Turcotte, Sandra, Turk, Boris, Turk, Vito, Turner, Bradley, Tuxworth, Richard, Tyler, Jessica, Tyutereva, Elena, Uchiyama, Yasuo, Ugun-Klusek, Aslihan, Uhlig, Holm, Ułamek-Kozioł, Marzena, Ulasov, Ilya, Umekawa, Midori, Ungermann, Christian, Unno, Rei, Urbe, Sylvie, Uribe-Carretero, Elisabet, Üstün, Suayib, Uversky, Vladimir, Vaccari, Thomas, Vaccaro, Maria, Vahsen, Björn, Vakifahmetoglu-Norberg, Helin, Valdor, Rut, Valente, Maria, Valko, Ayelén, Vallee, Richard, Valverde, Angela, Van Den Berghe, Greet, van der Veen, Stijn, Van Kaer, Luc, van Loosdregt, Jorg, van Wijk, Sjoerd, Vandenberghe, Wim, Vanhorebeek, Ilse, Vannier-Santos, Marcos, Vannini, Nicola, Vanrell, M Cristina, Vantaggiato, Chiara, Varano, Gabriele, Varela-Nieto, Isabel, Varga, Máté, Vasconcelos, M Helena, Vats, Somya, Vavvas, Demetrios, Vega-Naredo, Ignacio, Vega-Rubin-de-Celis, Silvia, Velasco, Guillermo, Velázquez, Ariadna, Vellai, Tibor, Vellenga, Edo, Velotti, Francesca, Verdier, Mireille, Verginis, Panayotis, Vergne, Isabelle, Verkade, Paul, Verma, Manish, Verstreken, Patrik, Vervliet, Tim, Vervoorts, Jörg, Vessoni, Alexandre, Victor, Victor, Vidal, Michel, Vidoni, Chiara, Vieira, Otilia, Vierstra, Richard, Viganó, Sonia, Vihinen, Helena, Vijayan, Vinoy, Vila, Miquel, Vilar, Marçal, Villalba, José, Villalobo, Antonio, Villarejo-Zori, Beatriz, Villarroya, Francesc, Villarroya, Joan, Vincent, Olivier, Vindis, Cecile, Viret, Christophe, Viscomi, Maria Teresa, Visnjic, Dora, Vitale, Ilio, Vocadlo, David, Voitsekhovskaja, Olga, Volonté, Cinzia, Volta, Mattia, Vomero, Marta, Von Haefen, Clarissa, Vooijs, Marc, Voos, Wolfgang, Vucicevic, Ljubica, Wade-Martins, Richard, Waguri, Satoshi, Waite, Kenrick, Wakatsuki, Shuji, Walker, David, Walker, Mark, Walker, Simon, Walter, Jochen, Wandosell, Francisco, Wang, Bo, Wang, Chao-Yung, Wang, Chen, Wang, Chenran, Wang, Chenwei, Wang, Cun-Yu, Wang, Dong, Wang, Fangyang, Wang, Feng, Wang, Fengming, Wang, Guansong, Wang, Han, Wang, Hao, Wang, Hexiang, Wang, Hong-Gang, Wang, Jianrong, Wang, Jigang, Wang, Jiou, Wang, Jundong, Wang, Kui, Wang, Lianrong, Wang, Liming, Wang, Maggie Haitian, Wang, Meiqing, Wang, Nanbu, Wang, PengWei, Wang, PeiPei, Wang, Ping, Wang, Qing Jun, Wang, Qing, Wang, Qing Kenneth, Wang, Qiong, Wang, Wen-Tao, Wang, Wuyang, Wang, Xinnan, Wang, Xuejun, Wang, Yan, Wang, Yanchang, Wang, Yanzhuang, Wang, Yen-Yun, Wang, Yihua, Wang, Yipeng, Wang, Yu, wang, yuqi, Wang, Zhe, Wang, Zhenyu, Wang, Zhouguang, Warnes, Gary, Warnsmann, Verena, Watada, Hirotaka, Watanabe, Eizo, Watchon, Maxinne, Wawrzyńska, Anna, Weaver, Timothy, Wegrzyn, Grzegorz, Wehman, Ann, Wei, Huafeng, Wei, Lei, Wei, Taotao, Wei, Yongjie, Weiergräber, Oliver, Weihl, Conrad, Weindl, Günther, Weiskirchen, Ralf, Wells, Alan, Wen, Runxia, Wen, Xin, Werner, Antonia, Weykopf, Beatrice, Wheatley, Sally, Whitton, J Lindsay, Whitworth, Alexander, Wiktorska, Katarzyna, Wildenberg, Manon, Wileman, Tom, Wilkinson, Simon, Willbold, Dieter, Williams, Brett, Williams, Robin, Williams, Roger, Williamson, Peter, Wilson, Richard, Winner, Beate, Winsor, Nathaniel, Witkin, Steven, Wodrich, Harald, Woehlbier, Ute, Wollert, Thomas, Wong, Esther, Wong, Jack Ho, Wong, Richard, Wong, Vincent Kam Wai, Wong, W Wei-Lynn, Wu, An-Guo, Wu, Chengbiao, Wu, Jian, Wu, Junfang, Wu, Kenneth, Wu, Min, Wu, Shan-Ying, Wu, Shengzhou, Wu, Shu-Yan, Wu, Shufang, Wu, William, Wu, Xiaohong, Wu, Xiaoqing, Wu, Yao-Wen, Wu, Yihua, Xavier, Ramnik, Xia, Hongguang, Xia, Lixin, Xia, Zhengyuan, Xiang, Ge, Xiang, Jin, Xiang, Mingliang, Xiang, Wei, Xiao, Bin, Xiao, Guozhi, Xiao, Hengyi, Xiao, Hong-tao, Xiao, Jian, Xiao, Lan, Xiao, Shi, Xiao, Yin, Xie, Baoming, Xie, Chuan-Ming, Xie, Min, Xie, Yuxiang, Xie, Zhiping, Xie, Zhonglin, Xilouri, Maria, Xu, Congfeng, Xu, En, Xu, Haoxing, Xu, Jing, Xu, Jinrong, Xu, Liang, Xu, Wen Wen, Xu, Xiulong, Xue, Yu, Yakhine-Diop, Sokhna, Yamaguchi, Masamitsu, Yamaguchi, Osamu, Yamamoto, Ai, Yamashina, Shunhei, Yan, Shengmin, Yan, Shian-Jang, Yan, Zhen, Yanagi, Yasuo, Yang, Chuanbin, Yang, Dun-Sheng, Yang, Huan, Yang, Huang-Tian, Yang, Hui, Yang, Jin-Ming, Yang, Jing, Yang, Jingyu, Yang, Ling, Yang, Liu, Yang, Ming, Yang, Pei-Ming, Yang, Qian, Yang, Seungwon, Yang, Shu, Yang, Shun-Fa, Yang, Wannian, Yang, Wei Yuan, Yang, Xiaoyong, Yang, Xuesong, Yang, Yi, Yang, Ying, Yao, Honghong, Yao, Shenggen, Yao, Xiaoqiang, Yao, Yong-Gang, Yao, Yong-Ming, Yasui, Takahiro, Yazdankhah, Meysam, Yen, Paul, Yi, Cong, Yin, Xiao-Ming, Yin, Yanhai, Yin, Zhangyuan, Yin, Ziyi, Ying, Meidan, Ying, Zheng, Yip, Calvin, Yiu, Stephanie Pei Tung, Yoo, Young, Yoshida, Kiyotsugu, Yoshii, Saori, Yoshimori, Tamotsu, Yousefi, Bahman, Yu, Boxuan, Yu, Haiyang, Yu, Jun, Yu, Li, Yu, Ming-Lung, Yu, Seong-Woon, Yu, Victor, Yu, W Haung, Yu, Zhengping, Yu, Zhou, Yuan, Junying, Yuan, Ling-Qing, Yuan, Shilin, Yuan, Shyng-Shiou, Yuan, Yanggang, Yuan, Zengqiang, Yue, Jianbo, Yue, Zhenyu, Yun, Jeanho, Yung, Raymond, Zacks, David, Zaffagnini, Gabriele, Zambelli, Vanessa, Zanella, Isabella, Zang, Qun, Zanivan, Sara, Zappavigna, Silvia, Zaragoza, Pilar, Zarbalis, Konstantinos, Zarebkohan, Amir, Zarrouk, Amira, Zeitlin, Scott, Zeng, Jialiu, Zeng, Ju-deng, Žerovnik, Eva, Zhan, Lixuan, Zhang, Bin, Zhang, Donna, Zhang, Hanlin, Zhang, Hong, Zhang, Honghe, Zhang, Huafeng, Zhang, Huaye, Zhang, Hui, Zhang, Hui-Ling, Zhang, Jianbin, Zhang, Jianhua, Zhang, Jing-Pu, Zhang, Kalin, Zhang, Leshuai, Zhang, Lin, Zhang, Lisheng, Zhang, Lu, Zhang, Luoying, Zhang, Menghuan, Zhang, Peng, Zhang, Sheng, Zhang, Wei, Zhang, Xiangnan, Zhang, Xiao-Wei, Zhang, Xiaolei, Zhang, Xiaoyan, Zhang, Xin, Zhang, Xinxin, Zhang, Xu Dong, Zhang, Yang, Zhang, Yanjin, Zhang, Yi, Zhang, Ying-Dong, Zhang, Yingmei, Zhang, Yuan-Yuan, Zhang, Yuchen, Zhang, Zhe, Zhang, Zhengguang, Zhang, Zhibing, Zhang, Zhihai, Zhang, Zhiyong, Zhang, Zili, Zhao, Haobin, Zhao, Lei, Zhao, Shuang, Zhao, Tongbiao, Zhao, Xiao-Fan, Zhao, Ying, Zhao, Yongchao, Zhao, Yongliang, Zhao, Yuting, Zheng, Guoping, Zheng, Kai, Zheng, Ling, Zheng, Shizhong, Zheng, Xi-Long, Zheng, Yi, Zheng, Zu-Guo, Zhivotovsky, Boris, Zhong, Qing, Zhou, Ao, Zhou, Ben, Zhou, Cefan, ZHOU, Gang, Zhou, Hao, Zhou, Hong, Zhou, Hongbo, Zhou, Jie, Zhou, Jing, Zhou, Jiyong, Zhou, Kailiang, Zhou, Rongjia, Zhou, Xu-jie, Zhou, Yanshuang, Zhou, Yinghong, Zhou, Yubin, Zhou, Zheng-Yu, Zhou, Zhou, Zhu, Binglin, Zhu, Changlian, Zhu, Guo-Qing, Zhu, Haining, Zhu, Hongxin, Zhu, Hua, Zhu, Wei-Guo, Zhu, Yanping, Zhu, Yushan, Zhuang, Haixia, Zhuang, Xiaohong, Zientara-Rytter, Katarzyna, Zimmermann, Christine, Ziviani, Elena, Zoladek, Teresa, Zong, Wei-Xing, Zorov, Dmitry, Zorzano, Antonio, Zou, Weiping, Zou, Zhen, Zou, Zhengzhi, Zuryn, Steven, Zwerschke, Werner, Brand-Saberi, Beate, Dong, X Charlie, Kenchappa, Chandra Shekar, Li, Zuguo, Lin, Yong, Oshima, Shigeru, Rong, Yueguang, Sluimer, Judith, Stallings, Christina, Tong, Chun-Kit, Ahmad, S. Tariq, Alim Al-Bari, M. Abdul, Bechara, Luiz R.G., Behrens, Georg M.N., Bhuiyan, Md. Shenuarin, Broaddus, V. Courtney, Buchan, J. Ross, Burón, M. Isabel, Carter, A. Brent, Chan, Matthew T.V., Choi, Augustine M.K., D’Adamo, Stefania, D’Amelio, Marcello, D’Arcangelo, Daniela, D’Lugos, Andrew, D’Orazi, Gabriella, De Meyer, Guido R.Y., Delpino, M. Victoria, Distler, Jörg H.W., Dixon, Ian M.C., Dobson, Renwick C.J., 2nd Dorn, Gerald, Eissa, N. Tony, Engelsen, Agnete S.T., Fairlie, W. Douglas, Ferreira, Julio C.B., H.B., Ranjitha, Hanson, Phyllis I., Hejtmancik, J. Fielding, Ho, Idy H.T., Hobbs, G. Aaron, Hoet, Peter H.M., Huang, Michael L.H., Iyer, Anand Krishnan V., Johnson, Gail V.W., Joosten, Leo A.B., Karim, Md. Razaul, Kaufmann, Stefan H.E., Ko, Ben C.B., Leck, Lionel Y.W., Lima, Thania R.R., Livingston, J. Andrew, Martin, Alexandre P.J., Montes, L. Ruth, Murphy, J. Patrick, Ng, Charlene C.W., Nicolao, M. Celeste, O’Donovan, Tracey, O’Leary, Seónadh, O’Rourke, Eyleen, O’Sullivan, Mary, O’Sullivan, Timothy, Omary, M. Bishr, Pereira, Gustavo J.S., Ratnayaka, J. Arjuna, Riazuddin, S. Amer, Rouschop, Kasper M.A., Sanderson, J. Thomas, Scaglione, K. Matthew, Schapira, Anthony H.V., Scovassi, A. Ivana, St. Clair, Daret, Sunahara, Karen K.S., Symons, J. David, Triola, Gemma, van Wijk, Sjoerd J.L., Vanrell, M. Cristina, Vasconcelos, M. Helena, Whitton, J. Lindsay, Williams, Robin S.B., Wong, W. Wei-Lynn, Wu, William K.K., Yakhine-Diop, Sokhna M.S., Yu, W. Haung, Zhang, Kalin Y.B., Dong, X. Charlie, Ain Shams University [ASU], Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University [JGU], Medical University Graz, Centre de Recherche des Cordeliers [CRC (UMR_S_1138 / U1138)], Institut Pasteur d'Iran, Leibniz Institute of Plant Biochemistry [IPB], The University of Texas M.D. Anderson Cancer Center [Houston], Institut de pharmacologie moléculaire et cellulaire [IPMC], Lipides - Nutrition - Cancer [Dijon - U1231] [LNC], Centre méditerranéen de médecine moléculaire [C3M], Institut de Biologie Valrose [IBV], Petites Molécules de neuroprotection, neurorégénération et remyélinisation, Signalisation Hormonale, Physiopathologie Endocrinienne et Métabolique, Institut Cochin [IC UM3 (UMR 8104 / U1016)], Institut NeuroMyoGène [INMG], Paris-Centre de Recherche Cardiovasculaire [PARCC (UMR_S 970/ U970)], Marqueurs cardiovasculaires en situation de stress [MASCOT (UMR_S_942 / U942)], Institut de Recherche sur le Cancer et le Vieillissement [IRCAN], Centre de Recherche en Cancérologie de Marseille [CRCM], Centre for Integrative Biology - CBI [Inserm U964 - CNRS UMR7104 - IGBMC], Oncogenesis, Stress, Signaling [OSS], Institut Necker Enfants-Malades [INEM - UM 111 (UMR 8253 / U1151)], Institut de Biologie Intégrative de la Cellule [I2BC], Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte [M2iSH], Centre de Recherches en Cancérologie de Toulouse [CRCT], Physiopathologie et traitement des maladies du foie, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL], Institut de Génétique et de Biologie Moléculaire et Cellulaire [IGBMC], Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] [BIO-PEROXIL], Centre de recherche sur l'Inflammation [CRI (UMR_S_1149 / ERL_8252 / U1149)], Unité de génétique et biologie des cancers [U830], Laboratoire d'Optique et Biosciences [LOB], Institut des Maladies Métaboliques et Casdiovasculaires [UPS/Inserm U1297 - I2MC], Différenciation et communication neuronale et neuroendocrine [DC2N], Institut de Recherche en Cancérologie de Montpellier [IRCM - U1194 Inserm - UM], Centre d'Immunologie de Marseille - Luminy [CIML], Physiopathologie et imagerie des troubles neurologiques [PhIND], Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée [LBFA], Imagine - Institut des maladies génétiques (IHU) [Imagine - U1163], Institut Mondor de Recherche Biomédicale [IMRB], Franco-czech Laboratory for clinical research on obesity, University of Michigan [Ann Arbor], University of Michigan System, Institut de pharmacologie moléculaire et cellulaire (IPMC), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Université Côte d'Azur (UCA), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Institut de Biologie Valrose (IBV), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Sud - Paris 11 (UP11), Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Nutrition, Métabolisme, Aquaculture (NuMéA), Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut NeuroMyoGène (INMG), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de Recherche en Cancérologie de Marseille (CRCM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU), Centre for Integrative Biology - CBI (Inserm U964 - CNRS UMR7104 - IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institute of genetics and molecular and cellular biology-Centre National de la Recherche Scientifique (CNRS), Chemistry, Oncogenesis, Stress and Signaling (COSS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-CRLCC Eugène Marquis (CRLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Necker Enfants-Malades (INEM - UM 111 (UMR 8253 / U1151)), Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte (M2iSH), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre de Recherche en Nutrition Humaine d'Auvergne (CRNH d'Auvergne)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Centre International de Recherche en Infectiologie - UMR (CIRI), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherches en Cancérologie de Toulouse (CRCT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] (BIO-PEROXIL), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de recherche sur l'Inflammation (CRI (UMR_S_1149 / ERL_8252 / U1149)), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de génétique et biologie des cancers (U830), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Optique et Biosciences (LOB), École polytechnique (X)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Différenciation et communication neuronale et neuroendocrine (DC2N), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Recherche en Cancérologie de Montpellier (IRCM - U1194 Inserm - UM), CRLCC Val d'Aurelle - Paul Lamarque-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie et imagerie des troubles neurologiques (PhIND), Université de Caen Normandie (UNICAEN), Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée (LBFA), Université Grenoble Alpes (UGA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Epithelial biology and disease - Liliane Bettencourt Chair of Developmental Biology (Equipe Inserm U1163), Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Biomécanique cellulaire et respiratoire (BCR), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Charles University [Prague]-Institut National de la Santé et de la Recherche Médicale (INSERM), This work was supported by the National Institute of General Medical Sciences [GM131919]., Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Marqueurs cardiovasculaires en situation de stress (MASCOT (UMR_S_942 / U942)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Université Sorbonne Paris Nord, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie des Adaptations Nutritionnelles (PhAN), Université de Nantes (UN)-Institut National de la Recherche Agronomique (INRA), Département Plateforme (PF I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut Gustave Roussy (IGR), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Chinese Academy of Medical Sciences [Suzhou, Chine] (CAMS), Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], Department of Women's and Children's Health [Stockholm, Sweden], Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École polytechnique (X), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, FHU OncoAge - Pathologies liées à l’âge [CHU Nice] (OncoAge), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Institut de Pharmacologie Moléculaire et Cellulaire [UNIV Côte d'Azur] (UPMC), Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), Life Sciences Institute [Ann Arbor, MI, USA], University of Michigan System-University of Michigan System, European Institute of Oncology IRCCS [Milan, Italy] (EIO), Ain Shams University (ASU), Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Réseau International des Instituts Pasteur (RIIP), Leibniz Institute of Plant Biochemistry (IPB), Hebrew University of Jerusalem, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Agro Dijon, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Oncogenesis, Stress, Signaling (OSS), Institut des Maladies Métaboliques et Casdiovasculaires (UPS/Inserm U1297 - I2MC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Charles University [Prague] (CU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Klionsky, D. 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C., Brodersen, P., Brodsky, J. L., Brody, S. L., Bronson, P. G., Bronstein, J. M., Brown, C. N., Brown, R. E., Brum, P. C., Brumell, J. H., Brunetti-Pierri, N., Bruno, D., Bryson-Richardson, R. J., Bucci, C., Buchrieser, C., Bueno, M., Buitrago-Molina, L. E., Buraschi, S., Buch, S., Buchan, J. R., Buckingham, E. M., Budak, H., Budini, M., Bultynck, G., Burada, F., Burgoyne, J. R., Buron, M. I., Bustos, V., Buttner, S., Butturini, E., Byrd, A., Cabas, I., Cabrera-Benitez, S., Cadwell, K., Cai, J., Cai, L., Cai, Q., Cairo, M., Calbet, J. A., Caldwell, G. A., Caldwell, K. A., Call, J. A., Calvani, R., Calvo, A. C., Calvo-Rubio Barrera, M., Camara, N. O. S., Camonis, J. H., Camougrand, N., Campanella, M., Campbell, E. M., Campbell-Valois, F. -X., Campello, S., Campesi, I., Campos, J. C., Camuzard, O., Cancino, J., Candido de Almeida, D., Canesi, L., Caniggia, I., Canonico, B., Canti, C., Cao, B., Caraglia, M., Carames, B., Carchman, E. 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E., Chung, H., Chung, K. P., Chung, S., Chung, S. -H., Chung, Y. -L., Cianfanelli, V., Ciechomska, I. A., Cifuentes, M., Cinque, L., Cirak, S., Cirone, M., Clague, M. J., Clarke, R., Clementi, E., Coccia, E. M., Codogno, P., Cohen, E., Cohen, M. M., Colasanti, T., Colasuonno, F., Colbert, R. A., Colell, A., Colic, M., Coll, N. S., Collins, M. O., Colombo, M. I., Colon-Ramos, D. A., Combaret, L., Comincini, S., Cominetti, M. R., Consiglio, A., Conte, A., Conti, F., Contu, V. R., Cookson, M. R., Coombs, K. M., Coppens, I., Corasaniti, M. T., Corkery, D. P., Cordes, N., Cortese, K., Costa, M. D. C., Costantino, S., Costelli, P., Coto-Montes, A., Crack, P. J., Crespo, J. L., Criollo, A., Crippa, V., Cristofani, R., Csizmadia, T., Cuadrado, A., Cui, B., Cui, J., Cui, Y., Culetto, E., Cumino, A. C., Cybulsky, A. V., Czaja, M. J., Czuczwar, S. J., D'Adamo, S., D'Amelio, M., D'Arcangelo, D., D'Lugos, A. C., D'Orazi, G., da Silva, J. A., Dafsari, H. S., Dagda, R. 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Subjects
0301 basic medicine, Programmed cell death, Settore BIO/06, Autophagosome, Autolysosome, [SDV]Life Sciences [q-bio], lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Autophagy-Related Proteins, Review, Computational biology, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Biology, Settore MED/04, 03 medical and health sciences, stress, Chaperone-mediated autophagy, ddc:570, Autophagy, LC3, Animals, Humans, cancer, Settore BIO/10, flux, lysosome, macroautophagy, neurodegeneration, phagophore, vacuole, Set (psychology), Molecular Biology, 030102 biochemistry & molecular biology, business.industry, Interpretation (philosophy), Autophagosomes, Cell Biology, Multicellular organism, 030104 developmental biology, Knowledge base, Biological Assay, Lysosomes, business, Biomarkers, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.

Published
2021

44. Characteristics of Stratum Structure and Fracture Evolution in Stratified Mining of Shallow Buried High-Gas-Thick Coal Seam by Similarity Simulation

Author

Qin Guangpeng, Cao Jing, Wu Shuo, Wang Chao, and Zhai Minghua

Subjects
QE1-996.5, Article Subject, business.industry, Fissure, Settlement (structural), Coal mining, Subsidence, Geology, Slip (materials science), Overburden, medicine.anatomical_structure, Mining engineering, medicine, Fracture (geology), General Earth and Planetary Sciences, business, Roof
Abstract

The stratified mining of super thick coal seam is a process of repeated disturbance of the top roof, especially in the lower stratification, the upper complex rock layer has a greater settlement space, resulting in great changes in the strata structure and fissure distribution. The main coal seam thickness of Rujigou Coal Mine exceeds 20 m, due to the high gas content of the coal seam, it is prone to spontaneous combustion, and the stratified mining method is adopted. When a small-size section coal pillar (less than 10 m) is used, the complex rock structure evolution and fissure development characteristics during the stratified mining of shallow buried thick coal seam will directly affect the movement of gas transportation between the working face and the goaf and will directly affect the safety of the working face. Taking Rujigou coal mine as engineering background, this paper analyzes the breaking structure, fracture development, and evolution law of overlying strata in different layers and different sections of coal seam when the buried depth is shallow, and the extra-thick coal seam is stratified mining. The results show that in the process of stratified mining, the overlying strata break, in addition to the whole trapezoidal failure structure, will also form a local F type fracture structure, and with the stratified downward mining, the F type fracture structure will continue to move up and disappear until it is compacted. The “V” type and “U” type subsidence characteristics of different strata overburden are presented after mining in stratified working face of extra-thick coal seam, and the subsidence amount is approximately symmetrical distribution along the middle line of goaf. In the mining process of the lower part of the layer, the end broken rock block is easy to slip along the hinge point by the hinged rock beam structure, and the sliding instability occurs. In the process of stratified mining of ultrathick coal seam, the main fissure of overburden is mainly longitudinal fissure, and it is very easy to form through with the upper layer and will finally connect with the surface under the condition of shallow buried depth. The inclined cracks connected with the adjacent goaf are formed above the coal pillar of the section, which becomes the passage of gas migration in the goaf. The research conclusion shows that for the stratified mining of high gas thick coal seam, special attention should be paid to the treatment of the gas on the stratified working face. In addition to the conventional gas treatment measures such as coal seam prepumping, the buried pipe pumping in the mining area can also be adopted, which can effectively reduce the gas concentration of the working surface.

Published
2021

45. Seasonal Variation and Global Public Interest in the Internet Searches for Osteoporosis

Author

Yanzhuo Zhang, Yue Yuan, Cheng'ai Wu, Wang Chao, Shu Xiong, and Tao Jianfeng

Subjects
FRAX, Article Subject, Bone density, Climate, Osteoporosis, 030209 endocrinology & metabolism, Global Health, Ibandronic acid, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Poisson Distribution, 030203 arthritis & rheumatology, Internet, General Immunology and Microbiology, business.industry, General Medicine, Seasonality, medicine.disease, Search Engine, Osteopenia, Zoledronic acid, Denosumab, Medicine, Public Health, Seasons, business, Research Article, Demography, medicine.drug
Abstract

Background. To ascertain the seasonal pattern and global public interest in osteoporosis by evaluating search term popularity changes of the disease over a decade. Methods. We applied Google Trends to retrieve search popularity scores for the term “osteoporosis” between January 01, 2004, and December 31, 2019. Cosinor analyses were conducted to examine the seasonality of osteoporosis, and analysis on osteoporosis-related topics including hot topics and rising-related topics was also performed. Results. The cosinor analyses demonstrated a statistically significant seasonal variation in relative search volume of the “osteoporosis” in the world ( p = 0.0083 ), USA ( p < 0.001 ), UK ( p < 0.001 ), Canada ( p < 0.001 ), Ireland ( p < 0.001 ), Australia ( p < 0.001 ), and New Zealand ( p < 0.001 ), with a peak in the late winter months and trough in the summer months. The peaks in late winter and valley in summer presented an approximately 6-month difference between hemispheres. The top 11 rising topics were denosumab, FRAX, hypocalcaemia, zoledronic acid, ibandronic acid, osteomyelitis, osteopenia, osteoarthritis, bone, calcium, and bone density. Conclusions. Google search query volumes related to osteoporosis follow strong seasonal patterns with late winter peaks and summer troughs. Further studies aimed at elucidating the possible mechanisms behind seasonality in osteoporosis are needed. Moreover, Internet data including the top rising topics may alert physicians to strengthen the propaganda of osteoporosis timely, so as to further promote the development of public health interventions.

Published
2021

46. Cooperation or Confrontation? —— Prediction of COVID-19 Pandemic Situation via Deep Learning

Author

Yanling Han, Zhonghua Hong, Yun Zhang, Wang Chao, Xiaohua Tong, Ruyan Zhou, Peng Chen, Yongjiu Feng, Lijun Xu, Shijie Liu, Ziyang Fan, Xiong Xu, Huan Xie, Kuifeng Luan, Wei Chao, Yanmin Jin, Sicong Liu, Wang Jing, and Shuhu Yang

Subjects
Coronavirus disease 2019 (COVID-19), business.industry, Deep learning, Political science, Pandemic, Artificial intelligence, Public relations, business
Abstract

The COVID-19 pandemic is the most serious catastrophe since the Second World War. To more accurately observe the epidemic under the influence of policies and provide policy adjustments before the official presidential transition in the United States, we use a three-layer superimposed Long-Short-Term-Memory (LSTM) model to predict the epidemic development trend to mid-January, 2021. The proposed model provides more accuracy and stability relative to Susceptible-Exposed-Infective-Recovered (SEIR), modified stacked au-to-encoder, and single-layer LSTM models. The performance effects of the measures in China and five countries with severe epidemics are analysed and summarised. The model shows that the error rate of China, five countries and the world is less than 1.4%. According to forecasts, the epidemic situations in the United States, India, and Brazil, caused by untimely, inappropriate policies, lax regulations and insufficient public cooperation, remain very severe, with cases continuing to increase by tens of thousands. The number of cumulative confirmed cases worldwide will exceed 84.58 million by mid-January, 2021; however, the mortality rate will gradually decrease. Based on analysis of measures (including China’s effective prevention and control policies), we found that there are performed tremendous different efficiency even using same positive policy for different countries because of various cooperation between people and governments. It is essential to maintain self-protection to prevent the epidemic from deterioration or regenerating, especially, wearing mask and maintaining a safe distance.

Published
2020

47. Classification and identification of citrus pests based on InceptionV3 convolutional neural network and migration learning

Author

Zhou Dongmei, Wang Peng, Peng Shaofeng, Guo Hongbo, Wang Chao, and Wang Ke

Subjects
0209 industrial biotechnology, Computer science, business.industry, Deep learning, Feature extraction, 02 engineering and technology, Machine learning, computer.software_genre, Convolutional neural network, Identification (information), 020901 industrial engineering & automation, Agriculture, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Citrus fruit
Abstract

As one of the origins of citrus in the world, China has a large number of excellent citrus resources and mature cultivation techniques. Pests and diseases have become an important constraint on citrus harvest and quality. At present, deep learning has been widely used in many fields, and its application in agricultural research is gradually becoming mature. The use of deep learning convolutional neural networks to identify citrus pests is an effective and high-discrimination recognition technology. In this paper, based on a small amount of self-collected citrus pests dataset, including Blowing scale, Moth, Starscream, Star beetle, Citrus fruit fly, a total of 5 common pests and diseases, and propose a combination of Inceptionv3 network feature extraction model and migration learning According to the classification and recognition method, the final recognition accuracy can reach 96.81%.

Published
2020

48. Intrusion Detection based on Non-negative Positive-unlabeled Learning

Author

Liu Yang, Bailing Wang, Sicai Lv, Chenrui Wu, Zhiyao Liu, and Wang Chao

Subjects
Support vector machine, Traffic flow (computer networking), Binary classification, business.industry, Computer science, Estimator, Anomaly detection, Pattern recognition, Artificial intelligence, Intrusion detection system, business, PU learning, Data modeling
Abstract

Due to the diversity of network traffic flow, intrusion detection is usually studied as an anomaly detection problem. In this paper, Positive-unlabeled with Non-negative Risk Estimator(nnPU) learning is introduced for intrusion detection. The cyber attacks is treated as positive samples in PU learning. A risk estimator is raised to estimates the binary classification loss. For data imbalance in intrusion detection, we improve the risk estimator of nnPU through focal loss(FL-nnPU). The dynamic weights in focal loss is used to balance the small class prior. The experiments result show that FL-nnPU have a close performance to binary classification, and it performs better than nnPU under data imbalance problems.

Published
2020

49. A Method of Layout Planning for Distribution Automation Terminal Considering the Failure Rate Characteristics

Author

Li Xinwei, Yuan Peng, Junwei Sun, Chi Cheng, Hui Zeng, Qiang Zhang, Yishu Fu, Junjie Sun, and Wang Chao

Subjects
business.industry, Computer science, 010401 analytical chemistry, Mode (statistics), Failure rate, 02 engineering and technology, 021001 nanoscience & nanotechnology, Blocking (statistics), 01 natural sciences, Automation, 0104 chemical sciences, Reliability engineering, Electric power system, Transformation (function), Terminal (electronics), 0210 nano-technology, business, Reliability (statistics)
Abstract

The distribution automation terminal layout planning is an important means to effectively improve the reliability level of distribution network and reduce the operation cost of power grid. The equipment failure rate curve model is established, which reveals the regularity of equipment reliability changing with operating year. The simplified method of distribution network structure blocking is proposed. The simplified calculation method of equivalent failure rate and failure repair repairing time is given, as well as the trouble-shooting procedure under different distribution automation terminals. The calculation method of load outage time between regions is analyzed. The optimization model of the transformation location and transformation mode of distribution automation terminal is established based on the failure rate curve. The actual distribution network system is used as an example to verify the feasibility and superiority of the proposed method, which provides a theoretical basis for practical projects.

Published
2020

50. A sandwiched photoelectrochemical biosensing platform for detecting Cytokeratin-19 fragments based on Ag2S-sensitized BiOI/Bi2S3 heterostructure amplified by sulfur and nitrogen co-doped carbon quantum dots

Author

Tingting Wu, Huan Wang, Dawei Fan, Hu Lihua, Qin Wei, Shitao Zhang, Wang Chao, and Dan Wu

Subjects
Detection limit, Materials science, business.industry, Biomedical Engineering, Biophysics, Heterojunction, General Medicine, Photoelectric effect, Linear range, Electrochemistry, Optoelectronics, business, Luminescence, Electronic band structure, Absorption (electromagnetic radiation), Biosensor, Biotechnology
Abstract

A sandwiched photoelectrochemical (PEC) immunosensor based on BiOI/Bi2S3/Ag2S was designed for the quantitative detection of cytokeratin-19 fragments (CYFRA21-1) in serum. In this work, due to the intervention of the narrow band gap Bi2S3, the absorption of the light source by the BiOI/Bi2S3 heterostructure has been significantly enhanced. Meanwhile, the matched band structure of BiOI, Bi2S3 and Ag2S promoted the rapid transfer of electrons between the conduction bands and effectively inhibited the recombination of electron-hole pairs, thus enhanced the photoelectric signals. Sulfur and nitrogen co-doped carbon quantum dots (S,N-CQDs) with up-conversion luminescence properties provided more light energy for the base materials. On the other hand, S,N-CQDs were combined with Ab2 through polydopamine (PDA), as secondary antibody labels, further enhanced the sensitivity of the sensor. Herein, the linear range of the sensor was from 0.001 to 100 ng mL−1 and the detection limit was 1.72 pg mL−1. In addition, the sensor provides a feasible way for the detection of tumor markers due to its excellent selectivity, repeatability and good stability.

Published
2022

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