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

379 results on '"WANG Ping"'

1. Fog Assisted 6TiSCH Tri-Layer Network Architecture for Adaptive Scheduling and Energy-Efficient Offloading Using Rank-Based Q-Learning in Smart Industries

Author: Ahsan Rafiq, Wei Min, Mohammad Saleh Ali Muthanna, and Wang Ping
Subjects: Network architecture, Computer science, business.industry, Distributed computing, Cloud computing, Energy consumption, Network layer, Scheduling (computing), Scalability, Electrical and Electronic Engineering, business, Instrumentation, Edge computing, Efficient energy use
Abstract: The smart industry is a significant realization of the internet of things. IPv6 over time-slotted channel hopping (6TiSCH) is the new standard that has emerged as a promising technology for industrial communications. The demanding issues of smart industries include scalability, latency, and energy efficiency. Existing studies have presented scheduling schemes for 6TiSCH-based industries. However, these works are not suitable for practical scenarios where emergencies frequently occur. Hence, this study aims to improve scalability, latency, and energy efficiency in 6TiSCH-based smart industries for practical scenarios. A new fog assisted 6TiSCH Tri-Layer architecture is designed with a network layer, smart communication layer, and cloud layer. Scalability and latency are realized by fog computing in the smart communication layer. The rough set-based root selection (R2S) algorithm improves the network layer’s energy efficiency by constructing an R2S and destination-oriented direct acyclic graph. Emergency cognizant distributed adaptive scheduling minimizes the latency for data transmission through fuzzy Bayesian learning-based parent selection and multiobjective gravitational search algorithm-based channel selection. In the fog layer, the rank-based Q-learning algorithm performs offloading to manage the energy consumption among fog nodes. Industrial data are stored in the cloud layer where they can be accessed by end users. The performance is evaluated by modeling the tri-layer 6TiSCH network in network simulator-3.26. Experiments show that the proposed work achieves satisfactory results in terms of energy consumption, latency, end-to-end delay, response time, and transmission efficiency.
Published: 2021

2. A Framework for Managing Dynamic Routing in Industrial Networks Driven by Software-Defined Networking Technology

Author: Nteziriza Nkerabahizi Josbert, Wang Ping, Ahsan Rafiq, Mohammed Saleh Ali Muthanna, and Min Wei
Subjects: flow installation method, General Computer Science, Computer science, QoS, 02 engineering and technology, SDN, optimal path, Control theory, Packet loss, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, business.industry, Network packet, Quality of service, 020208 electrical & electronic engineering, Testbed, General Engineering, 020206 networking & telecommunications, Integrated Services Digital Network, TK1-9971, industrial SDN (ISDN), Electrical engineering. Electronics. Nuclear engineering, Routing (electronic design automation), business, Software-defined networking, Computer network
Abstract: In order to meet strict Quality-of-Service (QoS) constraints imposed by some industrial applications, the configuration of industrial networks must address the requirements of traffic flows with different priorities such as minimum delay and packet loss. The performance is affected significantly if the end-to-end delay and packet loss surpasses a specific limit, and may become unbefitting for the destination. In this paper, we select Software-Defined Networking (SDN) technology to manage centralized devices and design an optimal path to guarantee the QoS requirements by taking into consideration two types of traffic flows: the first is low-delay while the second is both low-delay and low-loss. By using this optimal path, the Reactive Flow Installation (RFI) method increases the time delay in the forwarding of packets. So as to solve this issue, we propose a Mixed Flow Installation (MFI) method based on caching the flow rules which correspond to the optimal paths in the hash table deployed in the SDN controller memory in order to reduce the computation time of the forwarding path and the load at the SDN controller. Alternatively, the pre-configured flow rules in switches by the Proactive Flow Installation (PFI) method achieves the delay-sensitive. However, the PFI is not modified when the network status or the traffic type changes till the timeout value expires. This can affect the QoS requirements for industrial applications. To handle this challenge, we propose a PFI Re-routing (PFIR) method that redefined faster a new optimal path according to change without waiting the SDN controller for new flow rules. With the care of wireless and wired networks, we have built a simulation network via the OpenDayLight SDN controller and conducted an experimental testbed. The framework results are demonstrated by the performances through reduction of end-to-end delay, packet loss rate, and packet violation ratio.
Published: 2021

3. Performance studies on laser absorbing coating

Author: WU Jun-jie, Zhang Lei, Wu Yong, Wang Ping, and Xie Xian-chen
Subjects: Materials science, Coating, business.industry, law, engineering, Optoelectronics, engineering.material, business, Laser, Atomic and Molecular Physics, and Optics, law.invention
Published: 2021

4. An intelligent distributed sensor developed for power cable external damage monitoring

Author: Yang Yanxian, Ming Ren, Yang Wencheng, Chen Xuejiao, Zhou Yuan, Changjie Xia, Su Qigang, Quan Huiyu, Wang Ping, and Huang Jisheng
Subjects: Power management, Data processing, Warning system, Computer science, Operating environment, business.industry, Electrical engineering, 020206 networking & telecommunications, 02 engineering and technology, Signal, 0202 electrical engineering, electronic engineering, information engineering, General Earth and Planetary Sciences, Wireless, Power cable, 020201 artificial intelligence & image processing, business, Energy (signal processing), General Environmental Science
Abstract: Construction, theft, and geologic changes has long threatened the safety of power cable operation. However, due to the wide distribution of cables and the complicated operating environment, there is currently a lack of effective monitoring for early warning. This paper reports a wireless distributed sensor for monitoring cable external disturbance. Its data processing, low-power power management, energy acquisition unit, and Internet of Things communication methods are described in details; Based on that, the cable vibration test under typical external force excitation are carried out. The time-domain and time-frequency characteristics of the cable vibration signal are obtained and employed as characteristic parameters for external disturbance identification, which are the basis of an intelligent early-warning system for cable antibreakage.
Published: 2021

5. Reading Notes on Collation of Chinese Characters in Gogeum Seongnim (Gujin Shilin) in the Joseon Period

Author: Wang， Ping and Lu Feng
Subjects: Literature, History, business.industry, Collation, Reading (process), media_common.quotation_subject, Chinese characters, business, Period (music), media_common
Published: 2020

6. An automation test strategy based on real platform for digital control system software in nuclear power plant

Author: Tao Bai, Wang Xi, Ji Shi, Wang-ping Ye, and Wei Liu
Subjects: Test strategy, Computer science, 020209 energy, Manual testing, 02 engineering and technology, law.invention, Software, 020401 chemical engineering, law, Nuclear power plant, 0202 electrical engineering, electronic engineering, information engineering, Digital control system, Real platform, 0204 chemical engineering, business.industry, Fault tolerance, Test method, Automation, Reliability engineering, General Energy, Control system, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, System test, lcsh:TK1-9971
Abstract: In nuclear power plant (NPP), the digital control system introduced nuclear safety software, whose fault tolerance and reliability directly affect the safety of nuclear power plant facilities. Current manual, simulation and testing strategies all have limitations. An effective method to test the system with software plays an important role to ensure the safe operation of NPP. In this paper, a digital control system software test strategy based on real platform is proposed. Taking the RPS system as an example, this strategy analyzes the system function and software logic path characteristics, then identifies the system state by threshold boundary analyzing, and designs a test method based on the random combination of logical combination paths and parameter value intervals, and builds a real platform test environment. This paper has tested the typical functions of Pressurized water reactor (PWR) protection system. The test results show that the test strategy has significantly improved the coverage of paths and parameters. Compared with manual testing, test efficient has been improved obviously in this test platform. At present, this strategy solves the problem of the low efficiency in manual testing, low real-level in simulation testing, and the insufficient coverage in simple automated testing strategy. This strategy also provides good practice for the control system testing and lays the foundation for the reliability evaluation of the system and software.
Published: 2020

7. Classification and Application of Roof Stability of Bolt Supporting Coal Roadway Based on BP Neural Network

Author: Li Yingying, Zhu Yongjian, Zhang Yuqun, Wang Xizhi, Li Peng, Wang Ping, and Ren Heng
Subjects: Article Subject, Artificial neural network, business.industry, Computer science, 0211 other engineering and technologies, Coal mining, Stability (learning theory), 02 engineering and technology, Engineering (General). Civil engineering (General), Software, Mining engineering, Contour line, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Coal, Software system, TA1-2040, business, Roof, 021101 geological & geomatics engineering, Civil and Structural Engineering
Abstract: In view of the frequent occurrence of roof accidents in coal roadways supported by bolts, the widespread application of bolt support technology in coal roadways has been restricted. Through on-site investigation, numerical analysis, and other research methods, 6 evaluation indicators were determined, and according to the relevant evaluation factors and four types of coal roadway roof stability, a neural network structure for roof stability prediction was constructed to realize the quantitative prediction of the roof stability of bolt-supported coal roadway. The method of adding momentum is used to improve the BP neural network algorithm. After passing the simulation test, it is applied to the field experiment of the roof stability classification. In order to facilitate on-site application, on the basis of the established BP neural network prediction model, a coal mine roof stability classification software recognition system was developed. Using the developed software system, the stability of coal roadway roof is classified into mine, coal seam, and region. According to the recognition result, the surfer software is used to draw the contour map of the stability of the roof of each coal mining roadway. The classification results are consistent with the actual situation on site.
Published: 2020

8. A Case Study on Gob-Side Entry Retaining Technology in the Deep Coal Mine of Xinjulong, China

Author: Wang Ping, Wang Xizhi, Li Peng, Ren Heng, Yuan-jun Ma, Guang-jing Sun, Zhu Yongjian, Zhang Yuqun, Jianping Zuo, Li Ding, and Feng Tao
Subjects: Article Subject, business.industry, 0211 other engineering and technologies, Coal mining, Drilling, 02 engineering and technology, Deformation (meteorology), Engineering (General). Civil engineering (General), Mining engineering, Beam (nautical), 021105 building & construction, Gangue, Steel belt, Bearing capacity, TA1-2040, business, Roof, Geology, 021101 geological & geomatics engineering, Civil and Structural Engineering
Abstract: Through the analysis of the project of gob-side entry retaining in the deep gangue filling 2305S-2# working face of the Xinjulong coal mine, the principle and technology of surrounding rock control of gob-side entry retaining along the deep mining face are discussed. It is found that the use of gangue to fill the goaf of the deep mining face can effectively alleviate the occurrence of violent strata pressure, which is the basis for realizing entry retaining along the goaf. In the Xinjulong coal mine, the gangue wall and concrete-filled steel tube columns are used as roadside support structure. Anchor bolt + W steel belt are used as advance support, monomer column + hinged beam are used as temporary support, and long anchor cable + beam are used as permanent support. Gob-side entry retaining of deep mining working face is successfully realized. The actual measurement results show that the bearing capacity of gangue wall increases slowly, and the deformation is large. The concrete-filled steel tube column has a certain drilling bottom, and the roof cable is easily broken on the side of the remaining roadway. It is necessary to strengthen the lateral constraint of the gangue wall, limit the deformation of the gangue wall, and improve the bearing capacity of the gangue wall. The bottom of the concrete-filled steel tube column needs to be installed with a large backing plate to control the bottom drilling amount, and the roof anchor cable of the roadway must have a certain elongation to realize the coordinated deformation of the anchor cable and the roof.
Published: 2020

9. Development Range Determination of Gas Conducting Fissure Zones for Lower Protective Seam Mining in JINJIA Coal Mine

Author: Wang Ping, Ze Liao, Xun Zhao, Shuqing Li, Weijian Yu, and Tao Feng
Subjects: Hydrogeology, business.industry, Fissure, 0211 other engineering and technologies, Coal mining, Soil Science, Geology, 02 engineering and technology, 010502 geochemistry & geophysics, Geotechnical Engineering and Engineering Geology, 01 natural sciences, Overburden, medicine.anatomical_structure, Mining engineering, Architecture, Plastic hinge, Fracture (geology), medicine, Coal, business, Rock mass classification, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences
Abstract: Under the circumstance that lower protective seam mining may give rise to mining-induced fracture development in the upper coal and rock mass, the key to gas extraction during lower protective seam mining is investigated based on mining-induced fracture development law of overlying strata. Fracture evolution processes are seldom described by the traditional “Three Zone” theory of overlying strata. Consequently, its field application in gas extraction during the lower protective seam mining is limited. While theoretical analysis and analog simulation are adopted to analyze mining-induced fracture development rules for the lower protective seam mining, a plastic hinge is selected to theoretically derive a process from internal fracture development to occurrence of rock beam fracturing. In combination with the theory of key strata that the movement of overburden is controlled by key bond strata, a computing method is obtained to figure out development height of a gas conducting fissure zone during the lower protective seam mining. Taking geological conditions in Jinjia Coal Mine as the engineering background, development height of the gas conducting fissure zone in No. 22 seam there is calculated to be 42.2 m. On this basis, engineering design is performed for pressure relief gas extraction of the lower protective seam mining. During working face mining, gas emission quantity and sources are also monitored according to gas conducting features of strata within a range of the gas conducting fissure zone. Hence, accuracy in development range computations for this zone is verified. As demonstrated by research findings, combining the plastic hinge theory with a control action of key strata has the potential to effectively work out development height of the gas conducting fissure zone during the lower protective seam mining. Without a doubt, an accurate theoretical basis can be provided for pressure relief gas extraction in the course of lower protective seam mining.
Published: 2020

10. Enhancement method of magnetic flux leakage signals for rail track surface defect detection

Author: Xu Peng, Jia Yinliang, Ji Kailun, Liang Kangwu, and Wang Ping
Subjects: 010302 applied physics, Materials science, Magnetic reluctance, business.industry, Acoustics, 020208 electrical & electronic engineering, Magnetic flux leakage, 02 engineering and technology, 01 natural sciences, Atomic and Molecular Physics, and Optics, Magnetic flux, Magnetic field, Nondestructive testing, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Ferrite (magnet), Hall effect sensor, Electrical and Electronic Engineering, business, Leakage (electronics)
Abstract: Magnetic flux leakage (MFL) detection is widely used for non-destructive testing of rails, pipelines and storage tanks. The leakage magnetic field (LMF) of a defect, especially a small defect, is usually weak. To find small defects on the rail surface, here a ferrite is added in an LMF sensor to reduce the reluctance to increase the magnetic intensity above the defects. The effects of the cross-sectional shape and size of a ferrite are studied by simulation and experiments, and the suitable dimensions for signal enhancement are found. To suppress the interference caused by the variation of the lift-off distance, two Hall sensors are introduced and a differential circuit is designed for signal post-processing. From the finite element simulation and experiments, it is shown that the MFL signals with a ferrite are significantly increased.
Published: 2020

11. Efficacy of sex hormone-binding globulin on predicting metabolic syndrome in newly diagnosed and untreated patients with polycystic ovary syndrome

Author: Chen Lan, Yang Xiaoping, Zhang Weichun, Chen Fu, Chen Minjie, Lin Chu-jia, Yin Huihuang, Chen Guishan, Wang Ping, Yin Guoshu, and Huang Qingxia
Subjects: Adult, medicine.medical_specialty, Globulin, Endocrinology, Diabetes and Metabolism, Serum insulin, 030209 endocrinology & metabolism, Comorbidity, Newly diagnosed, 030204 cardiovascular system & hematology, Sensitivity and Specificity, Gastroenterology, 03 medical and health sciences, 0302 clinical medicine, Sex hormone-binding globulin, Sex Hormone-Binding Globulin, Internal medicine, medicine, Humans, Metabolic Syndrome, biology, Receiver operating characteristic, business.industry, General Medicine, medicine.disease, Polycystic ovary, Blood pressure, biology.protein, Female, Metabolic syndrome, business, Biomarkers, Polycystic Ovary Syndrome
Abstract: The aims of this study were to investigate the correlation of sex hormone-binding globulin (SHBG) and the components of metabolic syndrome (MetS) and explore the ability of SHBG to predict MetS in newly diagnosed and untreated patients with polycystic ovary syndrome (PCOS). Ninety-eight newly diagnosed and untreated patients with PCOS and 37 healthy volunteers were recruited. A receiver operating characteristic (ROC) curve was used to explore the best cutoff values of SHBG for predicting that the patients with PCOS would fulfill at least one abnormal index of MetS components, at least two abnormal indexes of MetS components, or MetS. The numbers of patients with PCOS who fulfilled none, one, or two of the MetS criteria items and MetS were 33, 31, 19, and 15, respectively. SHBG was negatively correlated with BMI (r = − 0.615, P
Published: 2020

12. Numerical investigation of the fatigue performance of elastic rail clips considering rail corrugation and dynamic axle load

Author: Jun Lu, Mengting Xing, Wang Ping, Zhao Caiyou, and Chen Mingming
Subjects: Vibration acceleration, business.product_category, Materials science, business.industry, Mechanical Engineering, 020101 civil engineering, 02 engineering and technology, Structural engineering, Fastener, 0201 civil engineering, 020303 mechanical engineering & transports, 0203 mechanical engineering, Fracture (geology), Metre, Axle load, CLIPS, business, computer, Vibration fatigue, computer.programming_language
Abstract: To analyze the reasons for rail clip fracture, the characteristics of rail corrugation were first measured using a rail corrugation meter. The vibration acceleration of the fastener clips at the sections with/without rail corrugation was measured, and the effects of rail corrugation on the clip vibration were analyzed. After this, a vehicle--track coupling dynamic model and a refined model for the fastener system were established in order to study the effects of rail corrugation on the vibration acceleration and stress on critical points. Finally, the rail grinding limits were determined based on the fatigue analysis method and the damage accumulation theory from the aspect of the fatigue life of the clip. The results of the study showed that the main wavelength of rail corrugation at the rail clip fracture section was approximately 40 mm. The vibration acceleration of the clip caused by rail corrugation was too large. Under normal installation conditions, the maximum clip stress was 1490 MPa at the small circular arc on the rear arch, which was identical to the on-site fracture location. The intrinsic frequency of the clip was approximately 810 Hz. Rail corrugation excited and triggered the forced vibration of the clip, and induced resonance at a speed of 120 km/h and a wavelength of 40 mm. The large cyclic stress amplitude of the clip with rail corrugation increased from 44 MPa to 68 MPa when compared with the clip without rail corrugation. Rail clip fracture was caused by the naturally occurring resonance fatigue arising from rail corrugation. For metro lines designed with a maximum speed of 120 km/h, it was suggested to control the rail corrugation amplitudes with a wavelength of 40 mm, 50 mm, 30 mm, 120 mm and 160 mm to below 0.04, 0.08, 0.16, 0.19 and 0.2 mm, respectively, taking into account the fatigue life of the clip.
Published: 2020

13. Shanghai Zhongshan Experience on Digestive Endoscopic Procedures During 2020 COVID-19 Pandemic

Author: Xin Yang Liu, Cai Mingyan, Qiang Shi, Wang Ping, and Ping-Hong Zhou
Subjects: Adult, Male, Cross infection, China, medicine.medical_specialty, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Digestive System Diseases, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Pneumonia, Viral, Viral transmission, Comorbidity, Covid-19: On the Front Lines, Betacoronavirus, Pandemic, Disease Transmission, Infectious, medicine, Humans, Endoscopy, Digestive System, Pandemics, Cross Infection, Hepatology, SARS-CoV-2, business.industry, Protective Devices, General surgery, Gastroenterology, COVID-19, The Red Section, Female, Coronavirus Infections, business, Disease transmission
Published: 2020

14. Fault Detection of Reciprocating Compressor Valve Based on One-Dimensional Convolutional Neural Network

Author: Wang Ping, Guo Fuyan, Guo Rui, Xin-Yi Wang, Zhang Yanchao, Pei-jun Ren, and Yue Wang
Subjects: Reciprocating compressor, Article Subject, Artificial neural network, Computer science, business.industry, 020209 energy, General Mathematics, 020208 electrical & electronic engineering, Fossil fuel, General Engineering, 02 engineering and technology, Overfitting, Engineering (General). Civil engineering (General), Fault (power engineering), Convolutional neural network, Fault detection and isolation, Control theory, Softmax function, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, TA1-2040, business, Gas compressor, Mathematics
Abstract: Reciprocating compressors are important equipment in oil and gas industries which closely relate with the healthy development of the enterprise. It is essential to detect the valve fault because valve failures account for 60% in total failures. For this field, an artificial neural network (ANN) is widely used, but a complex network is not suitable for its low accuracy and easy overfitting. This paper proposes a fault diagnosis model of a reciprocating compressor valve based on a one-dimensional convolutional neural network (1DCNN). This method takes the differential pressure and differential temperature of each compressor stage as the input of 1DCNN, using the characteristics of the CNN to extract the features and finally using Softmax to classify the fault. In order to verify this method, it is compared with LM-BP, RBF, and BP neural networks. The results show that the fault recognition rate of 1DCNN reaches 100%, which proves the effectiveness and feasibility of the proposed method.
Published: 2020

15. Ship detection based on the multi-scale visual saliency model

Author: 王平 Wang Ping, 尚洋 Shang Yang, 董超 Dong Chao, and 赵浩光 Zhao Hao-guang
Subjects: Scale (ratio), business.industry, Computer science, Computer vision, Artificial intelligence, business, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Visual saliency
Published: 2020

16. Risk Early Warning Research on China’s Futures Company

Author: Aihua Wang, Feng Wang, Yuncheng Huang, and Wang Ping
Subjects: Finance, 050208 finance, Warning system, business.industry, 0502 economics and business, 05 social sciences, Business, 050207 economics, China, General Economics, Econometrics and Finance, Futures contract, Risk management
Abstract: Having effective and reliable risk management is essential for the development of futures trading companies in China. Research analyzing early warnings on related risks for futures trading companie...
Published: 2019

17. Pupil Size Estimation Based on Spatially Weighted Corneal Flux Density

Author: Xiaohua Li, Yan Tu, Yuning Zhang, Shuai Li, Jiang Wang, Wang Ping, and Baoping Wang
Subjects: lcsh:Applied optics. Photonics, Pupil Size, light environment, Field (physics), business.industry, Astrophysics::Instrumentation and Methods for Astrophysics, Pupil diameter, Pupil size, lcsh:TA1501-1820, visual optics, Atomic and Molecular Physics, and Optics, Pupil, corneal flux density, Light intensity, Optics, Goodness of fit, lcsh:QC350-467, Electrical and Electronic Engineering, Spatial domain, business, display luminance, Hyperbolic partial differential equation, lcsh:Optics. Light, Mathematics
Abstract: The pupil size is an important parameter in different studies on vision and ophthalmology. A pupil size estimation model is constantly needed when actual measurements are unavailable. The reported pupil estimation models commonly adopt the product of light intensity and viewing field area, supposing the light contributes uniformly across the spatial domain. In this paper, the pupil diameters were measured for stimuli with different intensities and different sizes. Spatially varying effect were observed, especially for large field stimuli and annular bright stimuli. A spatially weighted flux density is proposed which shows a high correlation with pupil diameters. A hyperbolic equation is fitted to estimate the natural pupil diameter with independent light spatial distributions. The goodness of fit R2 reaches 0.97. The accuracy of the model is further verified with a natural indoor scene for different viewing distances and different illumination levels. The model predicted pupil diameters show a high correlation with the measured data.
Published: 2019

18. Traffic Congestion Detection Based on the Image Classification with CNN

Author: Jiaojiao Sun, Wang Ping, Jin Yinli, and Yedi Zhuo
Subjects: Traffic congestion, Contextual image classification, Computer science, business.industry, Pattern recognition, Artificial intelligence, business
Published: 2021

19. Clinical therapeutic effects of platelet-rich plasma in patients with burn wound healing

Author: Jie Li, Guo Zhong, and Wang-Ping Hu
Subjects: medicine.medical_specialty, MEDLINE, wound healing, Cochrane Library, law.invention, burns, Randomized controlled trial, Meta-Analysis as Topic, law, Study Protocol Systematic Review, medicine, Humans, Intensive care medicine, Adverse effect, Protocol (science), business.industry, platelet-rich plasma, General Medicine, meta-analysis, Meta-analysis, Platelet-rich plasma, business, Systematic Reviews as Topic, Research Article
Abstract: Background: In clinical settings, burn wounds are frequently encountered. Since burn wounds are a form of physical injury, they can have long-term adverse effects on the human body. It has been a significant challenge to treat burn wounds completely. Since traditional treatment strategies have been unable to heal burn wounds completely, they lack the efficacy to cure the wounds without long-term effects, such as heavy scarring. Reportedly, platelet-rich plasma (PRP) has shown potential to accelerate wound healing. Yet, there are no conclusive reports on a methodological comparative study of research that has assessed the medical benefits of PRP for treating individuals carrying burn wounds. Thus, the present meta-analysis and systematic study aims to assess the medical benefits of PRP for treating patients carrying burn wounds. Methods: The authors will conduct a comprehensive search for randomized controlled trials that evaluate the safeness and efficiency of PRP to treat burn wounds. The search includes 3 Chinese language databases (WanFang database, Chinese BioMedical Literature database, and China National Knowledge Infrastructure) and 4 English language databases (Cochrane Library, EMBASE, Web of Science, and MEDLINE). These electronic databases will be searched from their establishment till May 2021. A pair of independent authors will be selecting eligible studies for extracting data. The same authors will employ the Cochrane risk of bias tool to evaluate the bias risk. We will make use of RevMan (version: 5.3) software to complete data synthesis. Results: The present protocol will establish practical and targeted results evaluating the efficacy and safeness of using PRP to treat burn wounds. The current study also provides a reference for clinical use of PRP. Conclusion: Stronger evidence about the effectiveness and safety of using PRP to treat and heal burn wounds will be provided for clinicians to refer. Ethics and dissemination: Ethics approval is unrequired. Registration number: March 31, 2021.osf.io/whauj. (https://osf.io/whauj/).
Published: 2021

20. Vitamin D and cause-specific vascular disease and mortality: a Mendelian randomisation study involving 99,012 Chinese and 106,911 European adults

Author: Huang, Tao, Afzal, Shoaib, Yu, Canqing, Guo, Yu, Bian, Zheng, Yang, Ling, Millwood, Iona Y., Walters, Robin G., Chen, Yiping, Chen, Ningyu, Gao, Ruqin, Chen, Junshi, Clarke, Robert, Chen, Zhengming, Ellervik, Christina, Nordestgaard, Børge G., Lv, Jun, Li, Liming, Collins, Rory, Peto, Richard, Avery, Daniel, Boxall, Ruth, Bennett, Derrick, Chang, Yumei, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Hill, Mike, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Kurmi, Om, Lancaster, Garry, Lewington, Sarah, Lin, Kuang, McDonnell, John, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Jenny, Wang, Lin, Wright, Neil, Yang, Xiaoming, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Tan, Yunlong, Pang, Zengchang, Li, Shanpeng, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Zeng, Mingyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Fu, Zhifang, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, Liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Lan, Jian, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Wang, Ping, Meng, Fanwen, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Zhou, Weiwei, Luo, Guojin, Li, Jianguo, Chen, Xiaofang, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, Hu, Chen, Zhang, Xukui, Wu, Huifang, He, Pan, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixu, Chen, Lingli, Zhang, Yidan, Pan, Dongxia, Gu, Qijun, Huang, Yuelong, Chen, Biyun, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Li, Xianzhi, Zhang, Libo, and Qiu, Zhe
Subjects: Adult, medicine.medical_specialty, lcsh:Medicine, Disease, Lower risk, Gastroenterology, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, Causal effect, Vitamin D and neurology, Humans, Medicine, Vascular Diseases, 030212 general & internal medicine, Myocardial infarction, Vitamin D, Mendelian randomisation, Stroke, business.industry, Vascular disease, Confounding, lcsh:R, General Medicine, Vitamin D Deficiency, medicine.disease, Lipids, 3. Good health, Cardiovascular diseases, Population study, Gene-Environment Interaction, business, 030217 neurology & neurosurgery, Research Article
Abstract: Background Randomised control trials and genetic analyses have demonstrated that vitamin D or 25-hydroxyvitamin D (25[OH]D) levels may not play a causal role in the development of cardiovascular disease. However, it is unclear if 25(OH)D is causally associated with cause-specific vascular disease and lipids. Therefore, we examined the causal association of 25(OH)D with myocardial infarction, stroke, ischaemic heart disease, ischaemic stroke, subarachnoid haemorrhage, intracerebral haemorrhage, and lipid levels among both Chinese and Europeans. Methods We used a Mendelian randomisation (MR) design in the China Kadoorie Biobank, the Copenhagen City Heart Study, and the Copenhagen General Population Study. The 25(OH)D-related genetic variants in the CYP2R1 and DCHR7 genes were genotyped in 99,012 Chinese adults and 106,911 Danish adults. Results In Chinese adults, plasma 25(OH)D levels were not significantly associated with cause-specific vascular disease or mortality, with the exception of intracerebral haemorrhage (HR, 1.09 [95% CI, 1.01,1.18] per 25 nmol/L higher plasma 25(OH)D). In Europeans, plasma 25(OH)D levels were inversely associated with all types of vascular diseases and mortality. However, MR analysis did not demonstrate causal associations of genetically increased 25(OH)D levels with cause-specific vascular diseases, or mortality in both Chinese and European adults. In addition, each 25 nmol/L higher 25(OH)D was observationally associated with lower total cholesterol and low-density lipoprotein cholesterol levels, but higher high-density lipoprotein cholesterol levels. Likewise, MR analysis showed that 25(OH)D levels were not causally associated with lipids in both Chinese and European adults after Bonferroni correction. Conclusions We found no evidence to support that genetically increased 25(OH)D was associated with a lower risk of ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and lipid levels in both Chinese and European adults. These results suggest that the inverse associations of vitamin D with vascular disease could be the result of confounding. Electronic supplementary material The online version of this article (10.1186/s12916-019-1401-y) contains supplementary material, which is available to authorized users.
Published: 2019

21. Suggestions on Revising the Chinese-Korean Dictionary and Launching the Internet Dictionary : Comparing the Large Chinese-Korean Dictionary, ZON Chinese Character Dictionary and Other Dictionaries to Discuss

Author: Wang Ping and Park Deok-Young
Subjects: Character (mathematics), business.industry, Computer science, The Internet, General Medicine, business, Linguistics
Published: 2019

22. Bacterial communities in prepared foods available at supermarkets in Beijing, China

Author: Yiqiang Ge, Wang Ping, Xiaopan Fan, Ying Chen, Zhao Xiaomei, and Antuo Hu
Subjects: Food Handling, 030309 nutrition & dietetics, Firmicutes, Biology, 03 medical and health sciences, 0404 agricultural biotechnology, Proteobacteria, Food science, Bacterial phyla, 0303 health sciences, Acinetobacter, Bacteria, business.industry, Commerce, High-Throughput Nucleotide Sequencing, 04 agricultural and veterinary sciences, 16S ribosomal RNA, biology.organism_classification, Food safety, 040401 food science, Meat Products, Seafood, Beijing, Food Microbiology, Composition (visual arts), Alpha diversity, business, Food Science
Abstract: Prepared foods have received increasing attention owing to their convenience, rapidness, and ease of processing in a fast-paced life. The bacterial diversity and composition vary among different prepared foods and are closely related to food safety and human health. However, the knowledge on the bacterial community in prepared foods is still limited. In this study, the bacterial diversity in three kinds of prepared foods (meat, aquatic, and dish) available at supermarkets in Beijing was examined by using the high throughput sequencing technology to identify bacterial 16S rRNA genes. Alpha diversity analysis indicated that Proteobacteria and Firmicutes were the predominant bacterial phyla in prepared meat products, which accounted for 35-49% and 42-58% of the total sequences, respectively. Similar results were observed in prepared aquatic products, except salmon, which had a relatively unique bacterial community with Proteobacteria accounting for 90.72%. In prepared dishes, the proportions of Proteobacteria and Firmicutes were about 39-74% and 8-37%, respectively. The predominant bacterial genera detected in all samples within each kind of prepared foods were used to examine the differences in the bacterial community among three kinds of prepared foods. Results showed that the bacterial community in prepared meat products was much more diverse (14 genera) than those in prepared aquatic products (6 genera) and prepared dishes (2 genera). Acinetobacter was detected in all 288 prepared products. The bacterial community structures of prepared meat and aquatic products were more similar compared to those of prepared dishes. On the other hand, in prepared meat products, the bacterial communities of the samples with the same materials or brands were more similar, and further, among the sample with the same brands, the bacterial communities of the samples from the development zone were clearly different from those of the samples from the main urban area. In prepared aquatic products, the bacterial communities of the samples from the same region were also more similar. In prepared dish products, the bacterial communities of the samples with the same foodstuff or cooking style were more similar. In conclusion, this study revealed that the origin and type of prepared food ingredients, along with the sales location and processing methods, influenced microbial diversity and composition.
Published: 2019

23. A Novel VLC Channel Model Based on Beam Steering Considering the Impact of Obstacle

Author: Lixin Guo, Zhongyu Liu, Li Huang, Wang Ping, and Xi Nan
Subjects: Convex hull, business.industry, Computer science, Acoustics, Bandwidth (signal processing), Monte Carlo method, Beam steering, Solid angle, Photodetector, Visible light communication, 020206 networking & telecommunications, 02 engineering and technology, Computer Science Applications, Modeling and Simulation, Obstacle, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Photonics, business, Communication channel
Abstract: In this letter, a novel channel model of a visible light communication (VLC) system was proposed with the impact of position, size, and shape of the obstacle taken into account. The illumination area of the light-emitting diode (LED) was divided into independent solid angles and the ray was transmitted in every solid angle by beam steering; then, the point cloud of the obstacle was determined by the received rays in photodetector (PD). Furthermore, the convex hull model was used to represent the point cloud for simplification, the complex VLC channel model was set up, and the expression of the channel impulse response (CIR) was derived. Five scenarios with different obstacles were simulated for analysis, and the results revealed that the position, shape, and size of the obstacle have deep impact on the channel characteristics of the VLC system. Besides, beam steering increased the uniformity of the signal-to-noise ratio (SNR) distribution and the available bandwidth. Monte Carlo (MC) simulation was also provided to confirm the correctness of the proposed channel model.
Published: 2019

24. 240Hz color filterless LCD with suppressed color breakup

Author: 王萍 Wang Ping, 张宇宁 Zhang Yu-ning, 郦光选 Li Guang-xuan, and 耿迪 Geng Di
Subjects: Physics, Liquid-crystal display, Optics, law, business.industry, Signal Processing, Breakup, business, Instrumentation, Electronic, Optical and Magnetic Materials, law.invention
Published: 2019

25. Multi-spectral temperature measuring system based on photoelectric detection

Author: 赵海川 Zhao Hai-chuan, 王平 Wang Ping, 张磊 Zhang Lei, 陈绍武 Chen Shaowu, and 武俊杰 Wu Junjie
Subjects: Optics, Materials science, business.industry, Multi spectral, Photoelectric effect, business, Atomic and Molecular Physics, and Optics
Published: 2019

26. Contribution ofPlasmodiumimmunomics: potential impact for serological testing and surveillance of malaria

Author: Bin Xu, Shen-Bo Chen, Kokouvi Kassegne, Yan-Bing Cui, Jun-Hu Chen, Yue Wang, Wang-Ping Deng, Xiao-Nong Zhou, Hai-Mo Shen, and Eniola Michael Abe
Subjects: 0301 basic medicine, Potential impact, 030102 biochemistry & molecular biology, biology, business.industry, Plasmodium vivax, biology.organism_classification, medicine.disease, Biochemistry, Serology, Immunomics, 03 medical and health sciences, Diagnosis of malaria, 030104 developmental biology, Immune system, Antigen, parasitic diseases, Immunology, Medicine, business, Molecular Biology, Malaria
Abstract: Introduction: Plasmodium vivax (Pv) and P. knowlesi account together for a considerable share of the global burden of malaria, along with P. falciparum (Pf). However, inaccurate diagnosis and undetectable asymptomatic/submicroscopic malaria infections remain very challenging. Blood-stage antigens involved in either invasion of red blood cells or sequestration/cytoadherence of parasitized erythrocytes have been immunomics-characterized, and are vital for the detection of malaria incidence. Areas covered: We review the recent advances in Plasmodium immunomics to discuss serological markers with potential for specific and sensitive diagnosis of malaria. Insights on alternative use of immunomics to assess malaria prevalence are also highlighted. Finally, we provide practical applications of serological markers as diagnostics, with an emphasis on dot immunogold filtration assay which holds promise for malaria diagnosis and epidemiological surveys. Expert commentary: The approach largely contributes to Pf and Pv research in identifying promising non-orthologous antigens able to detect malaria incidence and to differentiate between past and recent infections. However, further studies to profiling naturally acquired immune responses are expected in order to help discover/validate serological markers of no cross-seroreactivity and guide control interventions. More so, the application of immunomics to knowlesi infections would help validate the recently identified antigens and contribute to the discovery of additional biomarkers of exposure, immunity, or both.
Published: 2018

27. Solution for Industrial Networks: Resilience-based SDN Technology

Author: Nteziriza Nkerabahizi Josbert, Min Wei, Ahsan Rafiq, and Wang Ping
Subjects: Computer science, business.industry, 020206 networking & telecommunications, 02 engineering and technology, Networking hardware, Hash table, Packet loss, Backup, Control theory, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Forwarding plane, Network performance, Resilience (network), business, Computer network
Abstract: Software-defined networks (SDN) renders the possibilities of logically centralized entity and simplified network reconfiguration when there a link or network device failure. This paper investigates a novel Software-Defined Industrial Networks (SDIN) resilience that fills the gap between restoration and protection methods. Using a restoration method increments the recovery time proportionally to the number of affected flows contrarily to the protection method which achieves the fast recovery. However, the protection method uses many flow entries in the data plane level which in turn increases the lookup time taken to find a suitable flow entry in the flow table of the switch. This can have an impact on the end-to-end latency in the normal situation (before a failure occurs). So as to balance the two methods, we propose a Mixed Fast Resilience (MFR) method to guarantee the fast recovery of the primary path without affecting the end-to-end latency in the normal situation. The MFR decreases the number of round-trips at the controller and the computation time of a new working path by caching the flow entries which correspond to the backup paths in the hash table deployed in the controller memory as the internal flow table. Thus, we have constructed a simulation network. The results displayed that our resilience method enhance the network performance in failure recovery time, packet loss even when there is a failure, and end-to-end latency before a network failure.
Published: 2021

28. A background-induced generative network with multi-level discriminator for text-to-image generation

Author: Wang Ping, Huaxiang Zhang, Tianshi Wang, and Li Liu
Subjects: Image generation, Discriminator, Computer science, business.industry, 05 social sciences, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, Function (mathematics), 010501 environmental sciences, 01 natural sciences, 0502 economics and business, Artificial intelligence, 050207 economics, business, Focus (optics), Generative grammar, 0105 earth and related environmental sciences
Abstract: Most existing text-to-image generation methods focus on synthesizing images using only text descriptions, but this cannot meet the requirement of generating desired objects with given backgrounds. In this paper, we propose a Background-induced Generative Network (BGNet) that combines attention mechanisms, background synthesis, and multi-level discriminator to generate realistic images with given backgrounds according to text descriptions. BGNet takes a multi-stage generation as the basic framework to generate fine-grained images and introduces a hybrid attention mechanism to capture the local semantic correlation between texts and images. To adjust the impact of the given backgrounds on the synthesized images, synthesis blocks are added at each stage of image generation, which appropriately combines the foreground objects generated by the text descriptions with the given background images. Besides, a multi-level discriminator and its corresponding loss function are proposed to optimize the synthesized images. The experimental results on the CUB bird dataset demonstrate the superiority of our method and its ability to generate realistic images with given backgrounds.
Published: 2021

29. Management and Prognosis of Interstitial Lung Disease With Lung Cancer (ILD-LC): A Real-World Cohort From Three Medical Centers in China

Author: Han Qian, Luo Qun, Yang Shuanying, Lin Xinqing, Wang Ping, Xie Xiaohong, Wang Liqiang, Ouyang Ming, Liu Mei, Li Chunyan, Li Na, Qin Yinyin, Zhou Chengzhi, Li Shiyue, Huang Wei, Wang Xiaoqian, and Liu Ming
Subjects: medicine.medical_specialty, medicine.medical_treatment, anti-angiogenesis treatment, Biochemistry, Genetics and Molecular Biology (miscellaneous), Biochemistry, 03 medical and health sciences, Idiopathic pulmonary fibrosis, 0302 clinical medicine, Internal medicine, medicine, Molecular Biosciences, Lung cancer, lcsh:QH301-705.5, Molecular Biology, Original Research, interstitial lung disease, Univariate analysis, Chemotherapy, business.industry, Interstitial lung disease, respiratory system, medicine.disease, respiratory tract diseases, Regimen, lung cancer, lcsh:Biology (General), 030228 respiratory system, 030220 oncology & carcinogenesis, Cohort, prognosis, ILD-LC, business, Cohort study
Abstract: Background and ObjectiveInterstitial lung disease with lung cancer (ILD-LC) is rare and its management has not been fully described. This study aimed to investigate the management and prognosis of ILD-LC patients in China.MethodsThe present analysis is a retrospective real-world cohort study. Clinical data of ILD-LC patients were obtained from 3 hospitals in China. The overall survival (OS) of patients was analyzed. Univariate and multivariate regression analyses were performed.ResultsOne hundred eighty-four ILD-LC patients included were biased toward male (85.3%), smokers (75.5%), idiopathic pulmonary fibrosis (IPF) (58.2%) patients with comorbidities (67.9%) and ECOG-PS score of 1 (65.2%). Most patients were advanced peripheral non-small cell lung cancer. The initial anti-cancer regimen for ILD-LC is mainly chemotherapy, and patients with early-stage LC prefer surgery. In the anti-cancer cohort, the number of ILD-LC patients who underwent the 2nd and 3rd or more anti-cancer regimens were 78 (55.7%) and 32 (22.8%), respectively. In the non-anticancer cohort, the median OS was 3.5 months. In the early-stage cohort, the median OS was 14.2 months in the systematic therapy group; however, the median OS was not reached in the surgery group. In the advanced-stage cohort with systematic therapy, the median OS was 7.2 months. Interstitial pneumonia (IIP) and anti-angiogenesis were associated with OS in the univariate analysis, whereas anti-angiogenesis was an independent protective factor for advanced LC with ILD.ConclusionPatients with ILD-LC have very poor prognosis. Appropriate anti-tumor treatment can prolong the survival time of patients who can tolerate it. Targeted therapy and immunotherapy are alternative treatments for LC patients with mild ILD. For ILD patients with advanced LC, antiangiogenic regimens significantly improve the prognosis of the disease.
Published: 2021

30. Forensic comparison analysis of plastic vehicle headlamp lens by gel permeation chromatography and statistical methods

Author: Hongling Guo, Wang Ping, Hongcheng Mei, Jili Zheng, Hu Can, and Jun Zhu
Subjects: Materials science, Scanning electron microscope, business.industry, Headlamp, Infrared spectroscopy, Pathology and Forensic Medicine, law.invention, Lens (optics), Gel permeation chromatography, Optics, law, Genetics, Molar mass distribution, Statistical analysis, business, Spectroscopy
Abstract: Comparison analysis of vehicle headlamp lens fragments can help establish links between the relevant vehicle with crime scenes or provide useful information to search the related vehicles. Headlamp lenses are mainly made of polycarbonate with very few signature additives, which makes them difficult to be discriminated by commonplace examination methods of infrared spectroscopy and scanning electron microscope coupled with energy dispersive X-ray spectroscopy. In this study, molecular weights (Mw) and the polydispersity index (PDI) value of 50 vehicle headlamp lens fragments from different vehicles were measured by gel permeation chromatography, and Hotelling's T2 statistical method was applied to facilitate interpretation of the data. Among the total C502=1225 pairs of comparisons between 50 samples, 62 pairs cannot be distinguished, resulting in a discrimination rate of 94.94%. It suggested that the method of gel permeation chromatography and Hotelling's T2 statistical analysis were powerful to make further discrimination between plastic vehicle headlamp lens fragments.
Published: 2021

31. Research of Software V&V Technology in the Non-safety DCS of NPPs

Author: Sheng-Chao Wang, Tao Bai, Jian-Zhong Tang, and Wang-Ping Ye
Subjects: Scheme (programming language), Computer science, Process (engineering), business.industry, Event (computing), Reliability engineering, law.invention, Reliability (semiconductor), Upgrade, Software, law, Nuclear power plant, Distributed control system, business, computer, computer.programming_language
Abstract: As the nerve center of nuclear power plant (NPP), distributed control system (DCS) has been widely used with perfect control function, flexible system configuration, safe and reliable operation state and strong applicability. The relevant modification or upgrade of DCS is the focus of NPP's digital modification or upgrade. The reliability of the computerized system or equipment of DCS depends to a large extent on the reliability of the software, and systematic failure may be introduced in the development process of the software. Software verification and validation (V&V) technology is recognized as one of the key technologies in the field of nuclear power that can effectively ensure and improve the quality of software. Software V&V technology for safety DCS system has been widely studied and applied, but software V&V technology for non-safety DCS system has not attracted attention from all parties. Based on this, through studying NPP's non-safety DCS software V&V related standards and technical reports, combining with the analysis of NPP's operating experience in operating event reports, a V&V scheme based on system engineering method is proposed, and the activities and tasks of each phase of the scheme V&V process are preliminarily summarized, and the detailed guiding standards or technical reports that can be referred to when executing V&V tasks are expounded. At last, the research results are expected to provide technical reference for the modification or upgrade of non-safety DCS in software.
Published: 2021

32. 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, Buchrieser, Carmen, Bueno, Marta, Buitrago-Molina, Laura Elisa, Buraschi, Simone, Buch, Shilpa, Buchan, J Ross, Buckingham, Erin, Budak, Hikmet, Budini, Mauricio, Bultynck, Geert, Burada, Florin, Burgoyne, Joseph, Burón, M Isabel, Bustos, Victor, Büttner, Sabrina, Butturini, Elena, Byrd, Aaron, Cabas, Isabel, Cabrera-Benitez, Sandra, Cadwell, Ken, Cai, Jingjing, Cai, Lu, Cai, Qian, Cairó, Montserrat, Calbet, Jose, Caldwell, Guy, Caldwell, Kim, Call, Jarrod, Calvani, Riccardo, Calvo, Ana, Calvo-Rubio Barrera, Miguel, Camara, Niels OS, Camonis, Jacques, Camougrand, Nadine, Campanella, Michelangelo, Campbell, Edward, Campbell-Valois, François-Xavier, Campello, Silvia, Campesi, Ilaria, Campos, Juliane, Camuzard, Olivier, Cancino, Jorge, Candido de Almeida, Danilo, Canesi, Laura, Caniggia, Isabella, Canonico, Barbara, Cantí, Carles, Cao, Bin, Caraglia, Michele, Caramés, Beatriz, Carchman, Evie, Cardenal-Muñoz, Elena, Cardenas, Cesar, Cardenas, Luis, Cardoso, Sandra, Carew, 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Da-Hye, Lee, Edward, Lee, Erinna, Lee, Gyun Min, Lee, He-Jin, Lee, Heung Kyu, Lee, Jae Man, Lee, Jason, Lee, Jin-A, Lee, Joo-Yong, Lee, Jun Hee, Lee, Michael, Lee, Min Goo, Lee, Min Jae, Lee, Myung-Shik, Lee, Sang Yoon, Lee, Seung-Jae, Lee, Stella, Lee, Sung Bae, Lee, Won Hee, Lee, Ying-Ray, Lee, Yong-ho, Lee, Youngil, Lefebvre, Christophe, Legouis, Renaud, Lei, Yu, Lei, Yuchen, Leikin, Sergey, Leitinger, Gerd, Lemus, Leticia, Leng, Shuilong, Lenoir, Olivia, Lenz, Guido, Lenz, Heinz Josef, Lenzi, Paola, León, Yolanda, Leopoldino, Andréia, Leschczyk, Christoph, Leskelä, Stina, Letellier, Elisabeth, Leung, Chi-Ting, Leung, Po Sing, Leventhal, Jeremy, Levine, Beth, Lewis, Patrick, Ley, Klaus, Li, Bin, Li, Da-Qiang, Li, Jianming, Li, Jing, Li, Jiong, Li, Ke, Li, Liwu, Li, Mei, Li, Min, Li, Ming, Li, Mingchuan, Li, Pin-Lan, Li, Ming-Qing, Li, Qing, Li, Sheng, Li, Tiangang, Li, Wei, Li, Wenming, Li, Xue, Li, Yi-Ping, Li, Yuan, Li, Zhiqiang, Li, Zhiyong, Li, Zhiyuan, Lian, Jiqin, Liang, 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, Livingston, J Andrew, Lizard, Gerard, Lizcano, Jose, Ljubojevic-Holzer, Senka, LLeonart, Matilde, Llobet-Navàs, David, Llorente, Alicia, Lo, Chih Hung, Lobato-Márquez, Damián, Long, Qi, Long, Yun Chau, Loos, Ben, Loos, Julia, López, Manuela, López-Doménech, Guillermo, López-Guerrero, José Antonio, López-Jiménez, Ana, López-Pérez, Óscar, López-Valero, Israel, Lorenowicz, Magdalena, Lorente, Mar, Lorincz, Peter, Lossi, Laura, Lotersztajn, Sophie, Lovat, Penny, Lovell, Jonathan, Lovy, Alenka, Lőw, Péter, Lu, Guang, Lu, Haocheng, Lu, Jia-Hong, Lu, Jin-Jian, Lu, Mengji, Lu, Shuyan, Luciani, Alessandro, Lucocq, John, Ludovico, Paula, Luftig, Micah, Luhr, Morten, Luis-Ravelo, Diego, Lum, Julian, Luna-Dulcey, Liany, Lund, Anders, Lund, Viktor, Lünemann, Jan, Lüningschrör, Patrick, Luo, Honglin, Luo, Rongcan, Luo, Shouqing, Luo, Zhi, Luparello, Claudio, Lüscher, Bernhard, Luu, Luan, Lyakhovich, Alex, Lyamzaev, Konstantin, Lystad, Alf Håkon, Lytvynchuk, Lyubomyr, Ma, Alvin, Ma, Changle, Ma, Mengxiao, Ma, Ning-Fang, Ma, Quan-Hong, Ma, Xinliang, Ma, Yueyun, Ma, Zhenyi, MacDougald, Ormond, Macian, Fernando, MacIntosh, Gustavo, MacKeigan, Jeffrey, Macleod, Kay, Maday, Sandra, Madeo, Frank, Madesh, Muniswamy, Madl, Tobias, Madrigal-Matute, Julio, Maeda, Akiko, Maejima, Yasuhiro, Magarinos, Marta, Mahavadi, Poornima, Maiani, Emiliano, Maiese, Kenneth, Maiti, Panchanan, Maiuri, Maria Chiara, Majello, Barbara, Major, Michael, Makareeva, Elena, Malik, Fayaz, Mallilankaraman, Karthik, Malorni, Walter, Maloyan, Alina, Mammadova, Najiba, Man, Gene Chi Wai, Manai, Federico, Mancias, Joseph, Mandelkow, Eva-Maria, Mandell, Michael, Manfredi, Angelo, Manjili, Masoud, Manjithaya, Ravi, Manque, Patricio, Manshian, Bella, Manzano, Raquel, Manzoni, Claudia, Mao, Kai, Marchese, Cinzia, Marchetti, Sandrine, Marconi, Anna Maria, Marcucci, Fabrizio, Mardente, Stefania, Mareninova, Olga, Margeta, Marta, Mari, Muriel, Marinelli, Sara, Marinelli, Oliviero, Mariño, Guillermo, Mariotto, Sofia, Marshall, Richard, Marten, Mark, Martens, Sascha, Martin, Alexandre, Martin, Katie, Martin, Sara, Martin, Shaun, Martín-Segura, Adrián, Martín-Acebes, Miguel, Martin-Burriel, Inmaculada, Martin-Rincon, Marcos, Martin-Sanz, Paloma, Martina, José, Martinet, Wim, Martinez, Aitor, Martinez, Ana, Martinez, Jennifer, Martinez Velazquez, Moises, Martinez-Lopez, Nuria, Martinez-Vicente, Marta, Martins, Daniel, Martins, Joilson, Martins, Waleska, Martins-Marques, Tania, Marzetti, Emanuele, Masaldan, Shashank, Masclaux-Daubresse, Celine, Mashek, Douglas, Massa, Valentina, Massieu, Lourdes, Masson, Glenn, Masuelli, Laura, Masyuk, Anatoliy, Masyuk, Tetyana, Matarrese, Paola, Matheu, Ander, Matoba, Satoaki, Matsuzaki, Sachiko, Mattar, Pamela, Matte, Alessandro, Mattoscio, Domenico, Mauriz, José, Mauthe, Mario, Mauvezin, Caroline, Maverakis, Emanual, Maycotte, Paola, Mayer, Johanna, Mazzoccoli, Gianluigi, Mazzoni, Cristina, Mazzulli, Joseph, McCarty, Nami, Mcdonald, Christine, McGill, Mitchell, McKenna, Sharon, Mclaughlin, Bethann, McLoughlin, Fionn, McNiven, Mark, McWilliams, Thomas, Mechta-Grigoriou, Fatima, Medeiros, Tania Catarina, Medina, Diego, Megeney, Lynn, Megyeri, Klara, Mehrpour, Maryam, Mehta, Jawahar, Meijer, Alfred, Meijer, Annemarie, Mejlvang, Jakob, Meléndez, Alicia, Melk, Annette, Memisoglu, Gonen, Mendes, Alexandrina, Meng, Delong, Meng, Fei, Meng, Tian, Menna-Barreto, Rubem, Menon, Manoj, Mercer, Carol, Mercier, Anne, MERGNY, Jean-Louis, Merighi, Adalberto, Merkley, Seth, Merla, Giuseppe, Meske, Volker, Mestre, Ana Cecilia, Metur, Shree Padma, Meyer, Christian, Meyer, Hemmo, Mi, Wenyi, Mialet-Perez, Jeanne, Miao, Junying, Micale, Lucia, Miki, Yasuo, Milan, Enrico, Milczarek, Małgorzata, Miller, Dana, Miller, Samuel, Miller, Silke, Millward, Steven, Milosevic, Ira, Minina, Elena, Mirzaei, Hamed, Mirzaei, Hamid Reza, Mirzaei, Mehdi, Mishra, Amit, Mishra, Nandita, Mishra, Paras Kumar, Misirkic Marjanovic, Maja, Misasi, Roberta, Misra, Amit, Misso, Gabriella, Mitchell, Claire, Mitou, Geraldine, Miura, Tetsuji, Miyamoto, Shigeki, MIYAZAKI, Makoto, Miyazaki, Mitsunori, Miyazaki, Taiga, Miyazawa, Keisuke, Mizushima, Noboru, Mogensen, Trine, Mograbi, Baharia, Mohammadinejad, Reza, Mohamud, Yasir, Mohanty, Abhishek, Mohapatra, Sipra, Möhlmann, Torsten, Mohmmed, Asif, Moles, Anna, Moley, Kelle, Molinari, Maurizio, Mollace, Vincenzo, Møller, Andreas Buch, Mollereau, Bertrand, Mollinedo, Faustino, Montagna, Costanza, Monteiro, Mervyn, Montella, Andrea, Montes, L Ruth, Montico, Barbara, Mony, Vinod, Monzio Compagnoni, Giacomo, Moore, Michael, Moosavi, Mohammad, Mora, Ana, Mora, Marina, Morales-Alamo, David, Moratalla, Rosario, Moreira, Paula, Morelli, Elena, Moreno, Sandra, Moreno-Blas, Daniel, Moresi, Viviana, Morga, Benjamin, Morgan, Alwena, Morin, Fabrice, Morishita, Hideaki, Moritz, Orson, Moriyama, Mariko, Moriyasu, Yuji, Morleo, Manuela, Morselli, Eugenia, Moruno-Manchon, Jose, Moscat, Jorge, Mostowy, Serge, Motori, Elisa, Moura, Andrea 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Ney, Paul, Nezis, Ioannis, Ng, Charlene, Ng, Tzi Bun, Nguyen, Hang, Nguyen, Long, Ni, Hong-Min, Ní Cheallaigh, Clíona, Ni, Zhenhong, Nicolao, M Celeste, Nicoli, Francesco, Nieto-Diaz, Manuel, Nilsson, Per, Ning, Shunbin, Niranjan, Rituraj, Nishimune, Hiroshi, Niso-Santano, Mireia, Nixon, Ralph, Nobili, Annalisa, Nobrega, Clevio, Noda, Takeshi, Nogueira-Recalde, Uxía, Nolan, Trevor, Nombela, Ivan, Novak, Ivana, Novoa, Beatriz, Nozawa, Takashi, Nukina, Nobuyuki, Nussbaum-Krammer, Carmen, Nylandsted, Jesper, O'Donovan, Tracey, O'Leary, Seónadh, O'Rourke, Eyleen, O'Sullivan, Mary, O'Sullivan, Timothy, Oddo, Salvatore, Oehme, Ina, Ogawa, Michinaga, Ogier-Denis, Eric, Ogmundsdottir, Margret, Ogretmen, Besim, Oh, Goo Taeg, Oh, Seon-Hee, Oh, Young, Ohama, Takashi, Ohashi, Yohei, Ohmuraya, Masaki, Oikonomou, Vasileios, Ojha, Rani, Okamoto, Koji, Okazawa, Hitoshi, Oku, Masahide, Oliván, Sara, Oliveira, Jorge, Ollmann, Michael, Olzmann, James, Omari, Shakib, Omary, M Bishr, Önal, Gizem, Ondrej, 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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. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., Abeliovich, H., Abildgaard, M. H., Abudu, Y. P., Acevedo-Arozena, A., Adamopoulos, I. E., Adeli, K., Adolph, T. E., Adornetto, A., Aflaki, E., Agam, G., Agarwal, A., Aggarwal, B. B., Agnello, M., Agostinis, P., Agrewala, J. N., Agrotis, A., Aguilar, P. V., Ahmad, S. T., Ahmed, Z. M., Ahumada-Castro, U., Aits, S., Aizawa, S., Akkoc, Y., Akoumianaki, T., Akpinar, H. A., Al-Abd, A. M., Al-Akra, L., Al-Gharaibeh, A., Alaoui-Jamali, M. A., Alberti, S., Alcocer-Gomez, E., Alessandri, C., Ali, M., Alim Al-Bari, M. A., Aliwaini, S., Alizadeh, J., Almacellas, E., Almasan, A., Alonso, A., Alonso, G. D., Altan-Bonnet, N., Altieri, D. C., Alvarez, E. M. C., Alves, S., Alves da Costa, C., Alzaharna, M. M., Amadio, M., Amantini, C., Amaral, C., Ambrosio, S., Amer, A. O., Ammanathan, V., An, Z., Andersen, S. U., Andrabi, S. A., Andrade-Silva, M., Andres, A. M., Angelini, S., Ann, D., Anozie, U. C., Ansari, M. 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T., Balduini, W., Ballabio, A., Ballester, M., Balazadeh, S., Balzan, R., Bandopadhyay, R., Banerjee, S., Banreti, A., Bao, Y., Baptista, M. S., Baracca, A., Barbati, C., Bargiela, A., Barila, D., Barlow, P. G., Barmada, S. J., Barreiro, E., Barreto, G. E., Bartek, J., Bartel, B., Bartolome, A., Barve, G. R., Basagoudanavar, S. H., Bassham, D. C., Bast, R. C., Basu, A., Batoko, H., Batten, I., Baulieu, E. E., Baumgarner, B. L., Bayry, J., Beale, R., Beau, I., Beaumatin, F., Bechara, L. R. G., Beck, G. R., Beers, M. F., Begun, J., Behrends, C., Behrens, G. M. N., Bei, R., Bejarano, E., Bel, S., Behl, C., Belaid, A., Belgareh-Touze, N., Bellarosa, C., Belleudi, F., Bello Perez, M., Bello-Morales, R., Beltran, J. S. D. O., Beltran, S., Benbrook, D. M., Bendorius, M., Benitez, B. A., Benito-Cuesta, I., Bensalem, J., Berchtold, M. W., Berezowska, S., Bergamaschi, D., Bergami, M., Bergmann, A., Berliocchi, L., Berlioz-Torrent, C., Bernard, A., Berthoux, L., Besirli, C. G., Besteiro, S., Betin, V. M., Beyaert, R., Bezbradica, J. S., Bhaskar, K., Bhatia-Kissova, I., Bhattacharya, R., Bhattacharya, S., Bhattacharyya, S., Bhuiyan, M. S., Bhutia, S. K., Bi, L., Bi, X., Biden, T. J., Bijian, K., Billes, V. A., Binart, N., Bincoletto, C., Birgisdottir, A. B., Bjorkoy, G., Blanco, G., Blas-Garcia, A., Blasiak, J., Blomgran, R., Blomgren, K., Blum, J. S., Boada-Romero, E., Boban, M., Boesze-Battaglia, K., Boeuf, P., Boland, B., Bomont, P., Bonaldo, P., Bonam, S. R., Bonfili, L., Bonifacino, J. S., Boone, B. A., Bootman, M. D., Bordi, M., Borner, C., Bornhauser, B. C., Borthakur, G., Bosch, J., Bose, S., Botana, L. M., Botas, J., Boulanger, C. M., Boulton, M. E., Bourdenx, M., Bourgeois, B., Bourke, N. M., Bousquet, G., Boya, P., Bozhkov, P. V., Bozi, L. H. M., Bozkurt, T. O., Brackney, D. E., Brandts, C. H., Braun, R. J., Braus, G. H., Bravo-Sagua, R., Bravo-San Pedro, J. M., Brest, P., Bringer, M. -A., Briones-Herrera, A., Broaddus, V. 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. H., Cardenal-Munoz, E., Cardenas, C., Cardenas, L., Cardoso, S. M., Carew, J. S., Carle, G. F., Carleton, G., Carloni, S., Carmona-Gutierrez, D., Carneiro, L. A., Carnevali, O., Carosi, J. M., Carra, S., Carrier, A., Carrier, L., Carroll, B., Carter, A. B., Carvalho, A. N., Casanova, M., Casas, C., Casas, J., Cassioli, C., Castillo, E. F., Castillo, K., Castillo-Lluva, S., Castoldi, F., Castori, M., Castro, A. F., Castro-Caldas, M., Castro-Hernandez, J., Castro-Obregon, S., Catz, S. D., Cavadas, C., Cavaliere, F., Cavallini, G., Cavinato, M., Cayuela, M. L., Cebollada Rica, P., Cecarini, V., Cecconi, F., Cechowska-Pasko, M., Cenci, S., Ceperuelo-Mallafre, V., Cerqueira, J. J., Cerutti, J. M., Cervia, D., Cetintas, V. B., Cetrullo, S., Chae, H. -J., Chagin, A. S., Chai, C. -Y., Chakrabarti, G., Chakrabarti, O., Chakraborty, T., Chami, M., Chamilos, G., Chan, D. W., Chan, E. Y. W., Chan, E. D., Chan, H. Y. E., Chan, H. H., Chan, H., Chan, M. T. V., Chan, Y. S., Chandra, P. K., Chang, C. -P., Chang, C., Chang, H. -C., Chang, K., Chao, J., Chapman, T., Charlet-Berguerand, N., Chatterjee, S., Chaube, S. K., Chaudhary, A., Chauhan, S., Chaum, E., Checler, F., Cheetham, M. E., Chen, C. -S., Chen, G. -C., Chen, J. -F., Chen, L. L., Chen, L., Chen, M., Chen, M. -K., Chen, N., Chen, Q., Chen, R. -H., Chen, S., Chen, W., Chen, X. -M., Chen, X. -W., Chen, X., Chen, Y., Chen, Y. -G., Chen, Y. -J., Chen, Y. -Q., Chen, Z. S., Chen, Z., Chen, Z. -H., Chen, Z. J., Cheng, H., Cheng, J., Cheng, S. -Y., Cheng, W., Cheng, X., Cheng, X. -T., Cheng, Y., Cheng, Z., Cheong, H., Cheong, J. K., Chernyak, B. V., Cherry, S., Cheung, C. F. R., Cheung, C. H. A., Cheung, K. -H., Chevet, E., Chi, R. J., Chiang, A. K. S., Chiaradonna, F., Chiarelli, R., Chiariello, M., Chica, N., Chiocca, S., Chiong, M., Chiou, S. -H., Chiramel, A. I., Chiurchiu, V., Cho, D. -H., Choe, S. -K., Choi, A. M. K., Choi, M. E., Choudhury, K. R., Chow, N. S., Chu, C. T., Chua, J. P., Chua, J. J. 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. K., Dagdas, Y., Daglia, M., Dai, X., Dai, Y., Dal Col, J., Dalhaimer, P., Dalla Valle, L., Dallenga, T., Dalmasso, G., Damme, M., Dando, I., Dantuma, N. P., Darling, A. L., Das, H., Dasarathy, S., Dasari, S. K., Dash, S., Daumke, O., Dauphinee, A. N., Davies, J. S., Davila, V. A., Davis, R. J., Davis, T., Dayalan Naidu, S., De Amicis, F., De Bosscher, K., De Felice, F., De Franceschi, L., De Leonibus, C., de Mattos Barbosa, M. G., De Meyer, G. R. Y., De Milito, A., De Nunzio, C., De Palma, C., De Santi, M., De Virgilio, C., De Zio, D., Debnath, J., Debosch, B. J., Decuypere, J. -P., Deehan, M. A., Deflorian, G., Degregori, J., Dehay, B., Del Rio, G., Delaney, J. R., Delbridge, L. M. D., Delorme-Axford, E., Delpino, M. V., Demarchi, F., Dembitz, V., Demers, N. D., Deng, H., Deng, Z., Dengjel, J., Dent, P., Denton, D., Depamphilis, M. L., Der, C. 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A., Ebrahimi-Fakhari, D., Eckhart, L., Edelstein, C. L., Efferth, T., Eftekharpour, E., Eichinger, L., Eid, N., Eisenberg, T., Eissa, N. T., Eissa, S., Ejarque, M., El Andaloussi, A., El-Hage, N., El-Naggar, S., Eleuteri, A. M., El-Shafey, E. S., Elgendy, M., Eliopoulos, A. G., Elizalde, M. M., Elks, P. M., Elsasser, H. -P., Elsherbiny, E. S., Emerling, B. M., Emre, N. C. T., Eng, C. H., Engedal, N., Engelbrecht, A. -M., Engelsen, A. S. T., Enserink, J. M., Escalante, R., Esclatine, A., Escobar-Henriques, M., Eskelinen, E. -L., Espert, L., Eusebio, M. -O., Fabrias, G., Fabrizi, C., Facchiano, A., Facchiano, F., Fadeel, B., Fader, C., Faesen, A. C., Fairlie, W. D., Falco, A., Falkenburger, B. H., Fan, D., Fan, J., Fan, Y., Fang, E. F., Fang, Y., Fanto, M., Farfel-Becker, T., Faure, M., Fazeli, G., Fedele, A. O., Feldman, A. M., Feng, D., Feng, J., Feng, L., Feng, Y., Feng, W., Fenz Araujo, T., Ferguson, T. A., Fernandez, A. F., Fernandez-Checa, J. C., Fernandez-Veledo, S., Fernie, A. 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D., Zhang, H., Zhang, H. -L., Zhang, J., Zhang, J. -P., Zhang, K. Y. B., Zhang, L. W., Zhang, L., Zhang, M., Zhang, P., Zhang, S., Zhang, W., Zhang, X., Zhang, X. -W., Zhang, X. D., Zhang, Y., Zhang, Y. -D., Zhang, Y. -Y., Zhang, Z., Zhao, H., Zhao, L., Zhao, S., Zhao, T., Zhao, X. -F., Zhao, Y., Zheng, G., Zheng, K., Zheng, L., Zheng, S., Zheng, X. -L., Zheng, Y., Zheng, Z. -G., Zhivotovsky, B., Zhong, Q., Zhou, A., Zhou, B., Zhou, C., Zhou, G., Zhou, H., Zhou, J., Zhou, K., Zhou, R., Zhou, X. -J., Zhou, Y., Zhou, Z. -Y., Zhou, Z., Zhu, B., Zhu, C., Zhu, G. -Q., Zhu, H., Zhu, W. -G., Zhu, Y., Zhuang, H., Zhuang, X., Zientara-Rytter, K., Zimmermann, C. M., Ziviani, E., Zoladek, T., Zong, W. -X., Zorov, D. B., Zorzano, A., Zou, W., Zou, Z., Zuryn, S., Zwerschke, W., Brand-Saberi, B., Dong, X. C., Kenchappa, C. S., Lin, Y., Oshima, S., Rong, Y., Sluimer, J. C., Stallings, C. L., Tong, C. -K., and Centre National de la Recherche Scientifique (CNRS)
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

33. Fault Diagnosis of Reciprocating Compressor Valve Based on Transfer Learning Convolutional Neural Network

Author: Yue Wang, Wang Ping, Guo Fuyan, Pei-jun Ren, and Zhang Yanchao
Subjects: Reciprocating compressor, Article Subject, business.industry, Computer science, General Mathematics, 020208 electrical & electronic engineering, General Engineering, Pattern recognition, 02 engineering and technology, Fault (power engineering), Engineering (General). Civil engineering (General), Convolutional neural network, Regularization (mathematics), Domain (software engineering), Natural gas, Transfer (computing), 0202 electrical engineering, electronic engineering, information engineering, Feature (machine learning), QA1-939, 020201 artificial intelligence & image processing, Artificial intelligence, TA1-2040, Transfer of learning, business, Mathematics
Abstract: Reciprocating compressors play a vital role in oil, natural gas, and general industrial processes. Their safe and stable operation directly affects the healthy development of the enterprise economy. Since the valve failure accounts for 60% of the total failures when the reciprocating compressor fails, it is of great significance to quickly find and diagnose the failure type of the valve for the fault diagnosis of the reciprocating compressor. At present, reciprocating compressor valve fault diagnosis based on deep neural networks requires sufficient labeled data for training, but valve in real-case reciprocating compressor (VRRC) does not have enough labeled data to train a reliable model. Fortunately, the data of valve in laboratory reciprocating compressor (VLRC) contains relevant fault diagnosis knowledge. Therefore, inspired by the idea of transfer learning, a fault diagnosis method for reciprocating compressor valves based on transfer learning convolutional neural network (TCNN) is proposed. This method uses convolutional neural network (CNN) to extract the transferable features of gas temperature and pressure data from VLRC and VRRC and establish pseudolabels for VRRC unlabeled data. Three regularization terms, the maximum mean discrepancy (MMD) of the transferable features of VLRC and VRRC data, the error between the VLRC sample label prediction and the actual label, and the error between the VRRC sample label prediction and the pseudolabel, are proposed. Their weighted sum is used as an objective function to train the model, thereby reducing the distribution difference of domain feature transfer and increasing the distance between learning feature classes. Experimental results show that this method uses VLRC data to identify the health status of VRRC, and the fault recognition rate can reach 98.32%. Compared with existing methods, this method has higher diagnostic accuracy, which proves the effectiveness of this method.
Published: 2021

34. Analysis from the NeoOBS Global Neonatal Sepsis Prospective Observational Cohort Study Across 19 Hospitals in 11 Countries; Clinical Presentation, Treatment, Mortality Outcomes and Development of the NeoSEP Sepsis Severity Score

Author: Ruchi Nanavati, Julia Bielicki, Shamim Qazi, Liu Zunjie, Davide Bilardi, Nishad Plakkal, Ajay Dudeja, Surbhi Malhotra-Kumar, Daniel Jarovsky, Matthias Larsson, Mohammad Shahidul Islam, Madhusudhan Ds, Adrie Bekker, Manica Balasegaram, Suppawat Boonkasidecha, Cristina Gardonyi Carvalheiro, Sally Ellis, Sara Chiurchiù, Sithembiso Velaphi, Emmanuel Roilides, Trah Minh Dien, Herman Goossens, Tim R. Cressey, Yonghong Yang, Eitan Naaman Berezin, Christina W. Obiero, Tomislav Kostyanev, Jolly Nankunda, Sushma Nangia, Wolfgang Stöhr, Angela Dramowski, Kanchana Preedisripipat, Simon Cousens, Borna Nyaoke, Kosmas Sarafidis, Yijun Ding, Marisa Márcia Mussi-Pinhata, Jinxing Feng, Amy Riddell, Tanusha Ramdin, James A. Berkley, Maxensia Owor, Aislinn Cook, Reenu Thomas, Tuba Vilken, Mike Sharland, Ramesh Agarwal, Youri Glupczynski, Suman Chaurasia, Daynia E Ballot, Meera Khorona, Nathalie Khavessian, Sarah Walker, Neal Russell, Yajuan Wang, Wang Ping, Maia De Luca, Paul T. Heath, Samir K. Saha, and Bethou Adhisivam
Subjects: Carbapenem, medicine.medical_specialty, Research ethics, Neonatal sepsis, Proportional hazards model, business.industry, Birth weight, medicine.disease, Sepsis, Postnatal age, Emergency medicine, medicine, business, medicine.drug, Cohort study
Abstract: Background: Neonatal sepsis is associated with high mortality, but there is limited clinical data on outcomes in hospital facilities in low and middle income countries (LMIC). The NeoOBS study aimed to determine the clinical features, pathogens and clinical outcomes of infants presenting with neonatal sepsis in hospitals globally. Methods: Infants
Published: 2021

35. Software Quality Evaluation of Non-safety Digital I&C System in NPPs

Author: Wang-Ping Ye
Subjects: Quality management, Computer science, Project commissioning, business.industry, Process (engineering), media_common.quotation_subject, Nuclear power, Software quality, law.invention, Reliability engineering, law, Nuclear power plant, Process control, Quality (business), business, media_common
Abstract: As an important process control system in nuclear power plants, non-safety digital I&C system has the characteristics of numerous internal and external interface, complex functions and low development integrity level. Users pay more and more attention to the quality in each phase of its life cycle, such as design, equipment manufacturing, commissioning and verification, delivery, operation and maintenance. This paper studies the software quality evaluation process, and proposes a set of applicable regulations and standards system and quality evaluation model. The contents and key elements of quality evaluation in three important phases of life cycle process are discussed in detail, and the V&V technical requirements and quality management requirements are integrated, which provides a reference for the implementation of new building nuclear power plants and modernization projectsPer.
Published: 2021

36. Study on the Effect of Soft and Hard Coal Pore Structure on Gas Adsorption Characteristics

Author: Wang Ping, Xun Zhao, Tao Feng, and Ze Liao
Subjects: Materials science, Article Subject, Coalbed methane, Diffusion, 0211 other engineering and technologies, 02 engineering and technology, complex mixtures, Adsorption, 020401 chemical engineering, Desorption, Specific surface area, otorhinolaryngologic diseases, Coal, 0204 chemical engineering, 021101 geological & geomatics engineering, Civil and Structural Engineering, business.industry, Coal mining, technology, industry, and agriculture, respiratory system, Engineering (General). Civil engineering (General), respiratory tract diseases, Chemical engineering, TA1-2040, business, Saturation (chemistry)
Abstract: In order to grasp the effect of soft and hard coal pore structure on gas adsorption characteristics, based on fractal geometry theory, low-temperature nitrogen adsorption and constant temperature adsorption test methods are used to test the pore structure characteristics of soft coal and its influence on gas adsorption characteristics. We used box dimension algorithm to measure the fractal dimension and distribution of coal sample microstructure. The research results show that the initial nitrogen adsorption capacity of soft coal is greater than that of hard coal, and the adsorption hysteresis loop of soft coal is more obvious than that of hard coal. And the adsorption curve rises faster in the high relative pressure section. The specific surface area and pore volume of soft coal are larger than those of hard coal. The number of pores is much larger than that of hard coal. In particular, the superposition of the adsorption force field in the micropores and the diffusion in the mesopores enhance the adsorption potential of soft coal. Introducing the concept of adsorption residence time, it is concluded that more adsorption sites on the surface of soft coal make the adsorption and residence time of gas on the surface of soft coal longer. Fractal characteristics of the soft coal surface are more obvious. The saturated adsorption capacity of soft coal and the rate of reaching saturation adsorption are both greater than those of hard coal. The research results of this manuscript will provide a theoretical basis for in-depth analysis of the adsorption/desorption mechanism of coalbed methane in soft coal seams and the formulation of practical coalbed methane control measures.
Published: 2021

37. Research and Application of FPGA V&V Technology in NPP Safety I&C System

Author: Sheng-Chao Wang, Tao Bai, and Wang-Ping Ye
Subjects: Scheme (programming language), business.industry, Process (engineering), Computer science, Common cause failure, Nuclear power, Field (computer science), law.invention, Reliability engineering, Microprocessor, law, Key (cryptography), business, Field-programmable gate array, computer, computer.programming_language
Abstract: As a diversified means of microprocessor technology, FPGA technology has been adopted in an I&C system important to safety independently developed by a Chinese nuclear power group due to its advantages of reducing the overall complexity of NPP I&C system and effectively solving the hidden dangers of DCS common cause failure. Internationally, FPGA V&V technology for NPP I&C system important to safety, is still under discussion and has not yet formed a consensus operating standard. However, the domestic FPGA regulations and standards in the field of nuclear power are not perfect, and the engineering practice experience is insufficient. All kinds of V&V technologies, methods and their engineering applications are being explored and improved. Therefore, it is urgent to solve the engineering application problem of FPGA V&V technology in digital systems that perform safety important functions in the field of nuclear power. Through the research on relevant regulations and standards of FPGA V&V for NPP I&C system important to safety, A FPGA V&V general technical scheme and method system suitable for NPP I&C system important to safety is established, and the application effects of the scheme and method is tested in project practice. Finally, the technical key points in the process of FPGA V&V for NPP I&C system important to safety are summarized.
Published: 2021

38. Improved Deep Learning Method to Fast Detect Vehicles Driving on a Long Span Cable-Stayed Bridge

Author: Gan Yang, Wang Ping, Shuying Zhang, and Wan-Shui Han
Subjects: business.industry, Computer science, Deep learning, Real-time computing, Detector, 020101 civil engineering, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Bridge (interpersonal), 0201 civil engineering, Vehicle dynamics, Traffic flow (computer networking), Artificial intelligence, business, Cluster analysis, Transfer of learning, 0105 earth and related environmental sciences, Communication channel
Abstract: The dynamic load on the bridge is normally generated by the traffic flow. It is therefore the acquisition of spatiotemporal information for vehicles driving on a bridge is of great significance to assess bridge structures. In this paper, we proposed an improved deep learning network, which is inspired from YOLOv4 (You only look once) network structure. The transfer learning method is applied in training, and designated nine sets of anchor values are obtained by the K-means clustering. The Soft-NMS (Non-Maximum Suppression) algorithm is fused to improve the detection effect of overlapping targets. At the same time, the SENet (Squeeze-and- Excitation Networks) is used to assign weights to the features of each channel to learn the correlation between different channels. Data set are established with video clips cut from the surveillance system currently used on a long span cable-stayed bridge in China. The proposed method is compared with SSD (Single Shot MultiBox Detector), YOLOv3 and YOLOv4 algorithms. Experimental proves that the proposed method can detect vehicle information more accurately, efficiently and stably. The result could extend to other bridge monitoring applications in future.
Published: 2020

39. Research on image mosaic technology of multi aperture array imaging system

Author: Fa Lin, Li Congdong, and Wang Ping
Subjects: Computer science, business.industry, Resolution (electron density), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Process (computing), Scale-invariant feature transform, Virtual reality, Field (computer science), Set (abstract data type), Computer Science::Computer Vision and Pattern Recognition, Key (cryptography), Computer vision, Artificial intelligence, business, Blossom algorithm
Abstract: In traditional optical design, there is a mutual restriction between large field of view and high resolution. In order to ensure large field of view and improve imaging resolution, the design of multi aperture array imaging system can be used. A set of imaging system of multi aperture array camera is introduced. By splicing the images collected by the multi aperture array system, large field of view and high resolution imaging are realized. In the process of acquiring the whole image, the mosaic of multiple sub images is one of the key technologies of multi aperture array imaging system. Aiming at the array image mosaic, SIFT matching algorithm is introduced to realize the extension of algorithm and application field. In the process of image acquisition, the traditional camera’s multiple shooting time is compressed into one shot time of array camera, which saves time to the maximum.
Published: 2020

40. Epidemiological Modeling Analysis Reveals the Transmission Potential of COVID-19 Asymptomatic Patients:A Prospective Study of Epidemiological Transmission in America

Author: Ma Zhixiang, Li Wei, Zhonglei Ji, Sun Haihang, Meng Xiangwei, Wang Ping, Zhao Yuhang, and Xiyuan Li
Subjects: Pediatrics, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), business.industry, Transmission potential, Asymptomatic, law.invention, Transmission (mechanics), law, Epidemiology, Medicine, medicine.symptom, business, Prospective cohort study
Abstract: Background:The asymptomatic of COVID-2019 are getting more and more attention from all walks of life. Now, America has become the epicenter of the pandemic, with more reported cases and deaths than other regions of the world. Studying the development asymptomatic populations may play a key role in managing the outbreak effectively. Methods:We propose a new model to predict the course of the epidemic and simulate the transmission of the asymptomatic. The model considers seven stages of infection: susceptible (S), exposed (E), infected (I), asymptomatic (A), confirmed (C), recovered (R), dead (D), we named it as SEIACRD. We used a model to study the interaction between asymptomatic patients and viral transmission.Result:Our model confirms that about 12 million people will be infected with the virus. Changes in mortality rates will be volatile, first falling, then rising. Not only the number of patients, but also the spread of the epidemic will be affected by the ability to detect asymptomatic persons. Contact with asymptomatic infected patients also significantly promoted the spread of the virus. But these methods had no significant effect on changes in patient mortality.Conclusion:American Asymptomatic patients have a strong interaction with epidemic transmission. They are no less at risk of transmission than symptomatic patients. In terms of controlling the number of infections, efforts to improve detection capacity are more effective than simply suppressing the spread of the virus. Extensive testing and effective social distancing measures should be taken to protect more people from the virus.
Published: 2020

41. UAV based 5G Wireless Networks: A Practical Solution for Emergency Communications

Author: Shaochi Cheng, Ming Zhao, Wang Ping, Su Hu, Wang Jing, Weidang Lu, Jiang Cao, and Yuan Gao
Subjects: Service (systems architecture), Computer science, business.industry, Wireless network, Quality of service, media_common.quotation_subject, 020206 networking & telecommunications, 02 engineering and technology, Base station, Information and Communications Technology, 0202 electrical engineering, electronic engineering, information engineering, Wireless, Quality (business), business, Telecommunications, 5G, media_common
Abstract: Wireless personal communication has become necessary part of our daily life. Network operators have established many 5G base stations for most residential areas, but the untraversed area such as sea, desert, high attitude area, etc. could not benefit from the high quality wireless personal communication technology, especially for the emergency use. In this work, we provide a solution for emergency use in untraversed area, based on the Unmanned Aerial Vehicle (UAV) platform, 5G could extend the service area to most areas all over the world when necessary without establishing ground based stations, providing satisfied QoS and stability.
Published: 2020

42. rhCygb reverses bleomycin-induced established pulmonary fibrosis in rats

Author: Wang Ping, Wenqi Dong, Li Zhen, and Lin Zhongshun
Subjects: chemistry.chemical_compound, Pathology, medicine.medical_specialty, Text mining, chemistry, business.industry, Pulmonary fibrosis, Medicine, business, Bleomycin, medicine.disease
Abstract: PurposeRecombinant human cytoglobin (rhCygb) has been demonstrated to anti-inflammation, anti-oxidation, anti-fibrosis in liver and kidney in animal disease models. However, the effect of rhCygb on the progression of pulmonary fibrosis is still unclear. The aim of this study was to investigate the therapeutic effect of rhCygb in the bleomycin (BLM)-induced pulmonary fibrosis rats.MethodsWe tested whether rhCygb would reverse lung fibrosis (at day 28 and 56) in Sprague-Dawley rats treated with bleomycin. Bleomycin (5mg/kg) resulted in fibrosis by CT and serum measurement at day 7. Effects of rhCygb treatment on morphological and CT imaging of the lung, as well as serial serum levels of biomarkers with progressive lung fibrosis were tested at day 28 and 56.ResultsIn BLM-treated rats (7 days), the well-established lung fibrosis was evidence by changes in rat lungs with CT images and serum levels of hyaluronic acid (HA), laminin (LN), procollagen III N-terminal peptide (PIIINP) and type IV collagen (IVC).After treatment with rhCygb for 49 days, we found significantly decreasing in HA, LN, PIIINP and IVC levels almost to controls. Hydroxyproline (HYP) , CT mean lung density（MLD）and Masson collage volume fraction (CVF) were also significantly reduced. Furthermore, CT MLD positively correlated with serum levels of HA, LN, PIIINP, IVC, and HYP, and especially with CVF.ConclusionrhCygb may be a new potential medicine for reversing lung fibrosis in the future.
Published: 2020

43. Improved Migratory Birds Optimisation Algorithm to Solve Low-Carbon Hybrid Lot-Streaming Flowshop Scheduling Problem

Author: Sun Qun, Wang Ping, Hong-Yan Sang, and Qiu-Yun Tao
Subjects: education.field_of_study, Mathematical optimization, Job shop scheduling, Computer science, business.industry, Population, Neighbourhood (graph theory), Scheduling (production processes), Local optimum, Local search (optimization), Optimisation algorithm, education, business, Reset (computing)
Abstract: Under low-carbon scheduling, to solve the hybrid lot-streaming flowshop scheduling (HLFS) problem, an improved migrating birds optimisation (IMBO) algorithm is proposed to minimise the total flow time. The neighbourhood solution of the population is generated by insertion and exchange, and the population is further optimised by a local search method. In addition, a reset mechanism is added to avoid falling into a local optimum. Extensive computational results demonstrate the feasibility and effectiveness of the proposed algorithm.
Published: 2020

44. Discussion on Etiology and Pathogenesis of Corona Virus Disease 2019 from 'Cold-dampness and Insidious Dryness'

Author: Xiao Wen-Ming, Wu Tao, zhao Cheng, Lu Fang-Guo, and Wang Ping
Subjects: 2019-20 coronavirus outbreak, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), 2019 novel corona virus (2019-nCoV), Hunan Province, Medicine (miscellaneous), lcsh:Medicine, Health Informatics, Traditional Chinese medicine, Virus diseases, Article, Pathogenesis, Medicine, Hubei Province, Intensive care medicine, business.industry, Transmission (medicine), lcsh:R, Game between healthy Qi and toxic pathogen, Pneumonia, lcsh:Other systems of medicine, lcsh:RZ201-999, humanities, Computer Science Applications, Complementary and alternative medicine, Etiology, Dryness, medicine.symptom, business, Pathogenic pathogens of cold and dampness
Abstract: Based on the characteristics of the epidemic situation and the authors’ understanding of the related ancient books and documents, this paper explores the etiology and pathogenesis of Corona Virus Disease 2019 (COVID-19) from 5 aspects: abnormal climate in “warm winter”, unique geographical location, pathogenesis evolution of cold and dampness mixed with insidious dryness, transmission and change of “triple energizer” of toxic pathogens, and game between healthy Qi and toxic pathogens. Combined with the special treatment of traditional Chinese medicine (TCM), the purpose is to make a modest contribution to curbing the epidemic situation with TCM. Keywords: 2019 novel corona virus (2019-nCoV), Pneumonia, Pathogenic pathogens of cold and dampness, Game between healthy Qi and toxic pathogen, Hubei Province, Hunan Province
Published: 2020
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45. Construction of Team Effectiveness Model Based on Paternalistic Leadership Style and Team Member Interaction

Author: Lin Sen and Wang Ping
Subjects: business.industry, Team effectiveness, Leadership style, Public relations, business, Psychology, Paternalism
Published: 2020

46. Contributions and achievements on schistosomiasis control and elimination in China by NIPD-CTDR

Author: Hao-Bing Zhang, Zheng Feng, Yin-Long Li, Shan Lv, Xiao-Nong Zhou, Shi-Zhu Li, Ting Feng, Si-Min Dai, Jian-Ping Cao, Jing Xu, Liping Duan, Chun-Li Cao, Wei Hu, Jia-Gang Guo, Chao Lv, Wang-Ping Deng, Li-Juan Zhang, and Zhi-Qiang Qin
Subjects: Transmission (medicine), business.industry, Distribution (economics), Schistosomiasis, Disease, medicine.disease, Diagnostic tools, Geography, Schistosomiasis control, Environmental health, Parasitic disease, medicine, China, business
Abstract: Being a zoonotic parasitic disease, schistosomiasis was widely spread in 12 provinces of Southern China in the 1950s, severly harming human health and hindering economic development. The National Institute of Parasitic Diseases at the Chinese Center for Diseases Control and Prevention, and Chinese Center for Tropical Diseases Research (NIPD-CTDR), as the only professional institution focussing on parasitic diseases at the national level, has played an important role in schistosomiasis control in the country. In this article, we look back at the changes of schistosomiasis endemicity and the contribution of NIPD-CTDR to the national schistosomiasis control programme. We review NIPD-CTDR's activities, including field investigations, design of control strategies and measures, development of diagnostics and drugs, surveillance-response of endemic situation, and monitoring & evaluation of the programme. The NIPD-CTDR has mastered the transmission status of schistosomiasis, mapped the snail distribution, and explored strategies and measures suitable for different types of endemic areas in China. With a good understanding of the life cycle of Schistosoma japonicum and transmission patterns of the disease, advanced research carried out in the NIPD-CTDR based on genomics and modern technology has made it possible to explore highly efficient and soft therapeutic drugs and molluscicides, making it possible to develop new diagnostic tools and produce vaccine candidates. In the field, epidemiological studies, updated strategies and targeted intervention measures developed by scientists from the NIPD-CTDR have contributed significantly to the national schistosomiasis control programme. This all adds up to a strong foundation for eliminating schistosomiasis in China in the near future, and recommendations have been put forward how to reach this goal.
Published: 2020

47. Analysis on the Effects of Material Parameters on the Fatigue Performance of Novel Anticorrugation Elastic Rail Clips

Author: Wang Ping, Ming Xuanhui, Zhao Caiyou, Jun Lu, and Li Yao
Subjects: Vibration acceleration, Materials science, business.product_category, Article Subject, QC1-999, 020101 civil engineering, 02 engineering and technology, Bending, Fastener, 0201 civil engineering, 0203 mechanical engineering, Coupling (piping), CLIPS, Civil and Structural Engineering, computer.programming_language, business.industry, Mechanical Engineering, Physics, Fatigue testing, Natural frequency, Structural engineering, Geotechnical Engineering and Engineering Geology, Condensed Matter Physics, Clamping, 020303 mechanical engineering & transports, Mechanics of Materials, business, computer
Abstract: A novel elastic rail clip was obtained through size improvement based on the II-type elastic rail clips to solve the fatigue failure of elastic rail clips. The metro vehicle-track coupling model and the fastener system refinement model were developed to analyze the effects of the material (38Si7 and 60Si2Mn) on the static and dynamic responses of the elastic rail clips and their fatigue performances under rail corrugation. According to the results, the elastic rail clip made of 60Si2Mn did not undergo any plastic deformation and exhibited higher strength than that made of 38Si7. Elastic rail clips made of 38Si7 and 60Si2Mn presented a consistent clamping force, natural frequency, and vibration acceleration. However, they were most sensitive to the wavelength of 50 mm. Both materials influenced the small back bending area of the elastic rail clip only. The elastic rail clip made of 60Si2Mn could meet the fatigue life requirements of 5 million times. As for the elastic rail clip made of 38Si7, the corresponding values of corrugation with the wavelength of 50 mm and 40 mm are to be controlled below 0.09 mm and 0.41 mm, respectively. The performance of the elastic rail clips to resist rail corrugation can be improved significantly through the increase in the geometric dimensions and selection of materials with higher strength.
Published: 2020

48. Analysis of Fatigue Performance of U-Rib to Deck Connections in Orthotropic Steel Bridge Structures

Author: Yang Haibo, Qian Hongliang, and Wang Ping
Subjects: Materials science, business.industry, 020101 civil engineering, 02 engineering and technology, Structural engineering, Orthotropic material, Engineering (General). Civil engineering (General), Bridge (interpersonal), 0201 civil engineering, Deck, 020303 mechanical engineering & transports, 0203 mechanical engineering, TA1-2040, business
Abstract: The stress condition of the transverse rib, bridge deck, and crossbeam in orthotropic steel bridge decks (OSBD) is complicated. Existing fatigue test specimens and the fatigue performance of components in OSBD differ significantly. In this paper, the numerical analysis method using traction structural stress is validated by the comparison with fatigue test results. The evaluation results of the fatigue behavior using the traction structural stress method are proven to be accurate. The comparative results give the fatigue performance of various types of typical test specimens in terms of the equivalent structural stress and initiation locations.
Published: 2020

49. Experimental Study of Blast-Induced Vibration Characteristics Based on the Delay-Time Errors of Detonator

Author: Wang Ping, Zhu Yongjian, Yuan-jun Ma, and Jun Zhu
Subjects: Comparative test, Article Subject, business.industry, Manufacturing process, Computer science, 0211 other engineering and technologies, 02 engineering and technology, Structural engineering, Deep hole, Engineering (General). Civil engineering (General), Detonator, Vibration, Blasting vibration, Range (statistics), TA1-2040, business, 021102 mining & metallurgy, 021101 geological & geomatics engineering, Civil and Structural Engineering, Delay time
Abstract: The delay-time of detonators in hole-by-hole blasting is generally calculated accurately considering they have great influence on the blasting effect, such as blasting vibration and blasting slungshot. The high-precision nonel detonator and digital electronic detonator are been commonly used because of their accuracy of delay-time. However, each detonator has an allowable error range of delay-time due to the difference in manufacturing process. In the initiation network, the errors of delay-time often accumulate gradually as the number of detonators increases. Therefore, theoretical delay-time and actual delay-time with error in the detonating network were discussed based on the delay-time errors of detonators. The single-factor variable method was used to carry out the comparative test in deep hole blasting. The results showed that the particle peak vibration velocity (PPV) was 13.1783 cm/s and 3.4856 cm/s with a drop of 73.55% in comparison with a nonel detonator and digital electronic detonator, which proved that hole-by-hole blasting in the high-precision nonel detonator network was not achieved due to the delay error of detonators. Furthermore, the location distribution map of holes where the same section of detonators might occur was obtained. Finally, the probability of blasting in the same section changes with the number of blast holes was discovered by theoretical analysis, which provided a basis for accurate hole-by-hole blasting.
Published: 2020
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50. Reduction of ground-borne vibrations from rail lines on viaducts by means of elastic anti-vibration mats

Author: Wang Ping, Liuchong Wang, Qiang Yi, Xing Mengting, and Caiyou Zhao
Subjects: Vibration, Materials science, Reaction, business.industry, Mechanical Engineering, Structural engineering, business, Reduction (mathematics)
Abstract: In this paper, the effectiveness of elastic anti-vibration mats in reducing ground-borne vibrations from rail viaducts is investigated by means of theoretical analysis and is validated by the results of field tests. A two-step procedure is adopted for analyzing the vehicle-track-bridge-soil coupling system. In the first step, the train-track-bridge-pier subsystem is considered, and the bridge-bearing reaction force is solved. In the second step, the pier-pile-soil subsystem is considered, and the ground vibration solution is obtained by applying the negative bridge-bearing reaction force to the pier top on a pier-pile-soil model. The accuracy of the presented model is then verified in comparison with in-situ measurement results. On the basis of this comparison, a parametric study on the impact of anti-vibration mats on ground-borne vibrations was investigated theoretically, and the effectiveness of elastic anti-vibration mats with the suggested optimal parameters was further validated by field tests. The results show that when the stiffness of the elastic anti-vibration mats is 1.5 MPa/m, ground vibration decreases significantly and the vertical rail displacement agrees with high-speed railway regulations.
Published: 2018

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