295 results on '"Hu, Wei"'
Search Results
2. Mechanical property and microstructure characteristics of geopolymer stabilized aggregate base
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Hu, Wei, Nie, Qingke, Huang, Baoshan, Su, Aiwu, Du, Yong, Shu, Xiang, and He, Qiang
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Aggregates (Building materials) -- Mechanical properties -- Structure ,Portland cement -- Mechanical properties ,Business ,Construction and materials industries - Abstract
ABSTRACTWith its potential to replace ordinary Portland cement, geopolymer has been receiving more and more attention in cement industry as well as geotechnical engineering. However, research is mainly focused on [...]
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- 2018
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3. Assessment of compaction quality of multi-layer pavement structure based on intelligent compaction technology
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Zhu, Xingyi, Bai, Shunjie, Xue, Genping, Yang, Jian, Cai, Yongsheng, Hu, Wei, Jia, Xiaoyang, and Huang, Baoshan
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Road construction -- Innovations -- Forecasts and trends -- Research ,Sediment compaction -- Research -- Forecasts and trends ,Market trend/market analysis ,Business ,Construction and materials industries - Abstract
ABSTRACT Intelligent compaction (IC) is an emerging and evolving technology for road construction. IC technology brings a lot of benefits as well as some challenges to be solved. This paper [...]
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- 2018
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4. 18F-FDG-PET glucose hypometabolism pattern in patients with epileptogenic hypothalamic hamartoma
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Yi-He Wang, Peng-Hu Wei, Chao Lu, Guoguang Zhao, Yongzhi Shan, Kailiang Wang, and Fei Meng
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Cerebellum ,Pathology ,medicine.medical_specialty ,Neocortex ,business.industry ,Cerebrum ,General Medicine ,Brain damage ,Voxel-based morphometry ,medicine.anatomical_structure ,nervous system ,Hypothalamic hamartoma ,Cerebral cortex ,Gelastic seizure ,medicine ,medicine.symptom ,business - Abstract
Epileptogenic hypothalamic hamartoma is characterized by intractable gelastic seizures. A systematic analysis of the overall brain metabolic pattern in patients with hypothalamic hamartoma (HH) could facilitate the understanding of the epileptic brain network and the associated brain damage effects of HH. In this study, we retrospectively evaluated 27 patients with epileptogenic HH (8 female patients; age, 2-33 years) by using 18F-fluorodeoxyglucose-positron emission tomography. The correlations among tomography result, seizure type, sex, and structural magnetic resonance imaging were assessed. Whole metabolic patterns and voxel-based morphometry findings were assessed by group analysis with healthy controls. Assessment of the whole metabolic pattern in patients with HH revealed several regional metabolic reductions in the cerebrum and an overall metabolic reduction in the cerebellum. In addition, areas showing hypometabolism in the neocortex were more widely distributed ipsilaterally than contralaterally to the HH. Reductions in glucose metabolism and gray matter volume in the neocortex were predominant ipsilateral to the HH. In conclusion, the glucose hypometabolism pattern in patients with epileptogenic HH involved the neocortex, subcortical regions, and cerebellum. The characteristics of glucose hypometabolism differed across seizure type and sex. Reductions in glucose metabolism and structural changes may be based on different mechanisms, but both are likely to occur ipsilateral to the HH in the neocortex. We hypothesized that the dentato-rubro-thalamic tract and cerebro-ponto-cerebellar tract, which are responsible for intercommunication between the cerebral cortex, subcortical regions, and cerebellar regions, may be involved in a pathway related to seizure propagation, particularly gelastic seizures, in patients with HH.
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- 2021
5. On‐Line Fault Diagnosis Model of Distribution Transformer Based on Parallel Big Data Stream and Transfer Learning
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Yang Zhichun, Su Lei, Fan Yang, Jian Le, Lei Yang, Yu Shen, and Hu Wei
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Computer science ,business.industry ,Big data ,Electronic engineering ,Electrical and Electronic Engineering ,Line (text file) ,Transfer of learning ,Fault (power engineering) ,business ,Distribution transformer - Published
- 2021
6. Evaluation of compactability of asphalt mixture utilizing asphalt vibratory compactor
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Hu, Wei, Jia, Xiaoyang, Huang, Baoshan, and Park, Hong
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Asphalt -- Properties ,Business ,Construction and materials industries - Abstract
ABSTRACT Compaction is a crucial topic for asphalt mixture in that the success of mix design greatly depends on the compaction method being used, and the asphalt pavement achieves the [...]
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- 2017
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7. Network mapping of green-harmony human resource management: A visualized analysis using CiteSpace
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Yang Zhan, Hu Wei, Zhao Fuqiang, and Liu Lei
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Statistics and Probability ,Harmony (color) ,Knowledge management ,Artificial Intelligence ,business.industry ,Human resource management ,0502 economics and business ,05 social sciences ,General Engineering ,Network mapping ,050211 marketing ,business ,050203 business & management - Abstract
Enterprises are being faced with sustainable development problems caused by resource pressure, cross-border integration, and the imbalance of interest among multiple stakeholders, which have resulted in green-harmony human resource management coming into being. At present, the studies on green-harmony human resource management are increasing. Meanwhile, it also brings problems such as subject fragmentation, single perspective, and conclusion differentiation. To systematically integrate the topic of green-harmonious human resource management and explore the meaning of green and harmony, a network mapping of the existing literature was conducted by using CiteSpace software to unify research directions, release research potential, and promote the development of relevant theories and practices. The results show that the studies on green-harmony human resource management can conclude four different perspectives: ecological, harmonious, responsibility and resource. Additionally, combined with the existing theories and relevant situations, this study constructs the research framework of green-harmony human resource management.
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- 2021
8. Emergence inhibition, repellent activity and antifeedant responds of mineral oils against Asian citrus psyllid, Diaphorina citri (Hemiptera: Liviidae)
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Tingtao Chen, Hanhong Xu, Ning Zhang, Hu Wei, Junhua Lu, Feng Xianglin, Rongkun Zheng, Chun Jiong, Weimin Li, and Fan Kuang
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0106 biological sciences ,biology ,business.industry ,Diaphorina citri ,Pest control ,04 agricultural and veterinary sciences ,biology.organism_classification ,01 natural sciences ,Hemiptera ,Insect pest ,Toxicology ,010602 entomology ,Insect Science ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Alternative control ,PEST analysis ,business ,Agronomy and Crop Science - Abstract
Diaphorina citri Kuwayama is a serious insect pest of citrus worldwide due to the capacity to transmit causal agent of the huanglongbing. Mineral oils are recommended in the integrated pest managem...
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- 2020
9. Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China
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Hong Chang, Huang Wang, Jin Na Li, Peng Hu Wei, Xiao Min Huang, Fang Fang Shangguan, Zhi Peng Yu, Yuan Yang, Mei Yang, Tian Mei Si, Qing Xue, Hai Qing Song, Yu Jia, Long Bin Jia, Dong Juan Xu, Wen Rui Zhang, Lu Yin, Hui Qing Dong, Qing Tian, Bo Heng Zhu, Bao Quan Min, Xiaolei Liu, Hongxing Wang, Mao Peng, Fiammetta Cosci, Kun Wang, Zhou Zhu, Chun Xue Wang, Jing Lv, Wei Li, Hai Xia Leng, Li Wang, Xiao Ling Gao, Dong Ning Li, Pei Ran Zhang, Yuping Wang, Yan Yan Niu, Ping Wang, Wen Feng Zhao, Yun Long Deng, Peng M., Wang L., Xue Q., Yin L., Zhu Boheng., Wang K., Shangguan F.-F., Zhang P.-R., Niu Y.-Y., Zhang W.-R., Zhao W.-F., Wang H., Lv J., Song H.-Q., Min B.-Q., Leng H.-X., Jia Y., Chang H., Yu Z.-P., Tian Q., Yang Y., Zhu Z., Li W., Gao X.-L., Liu X.-L., Yang M., Wang P., Wei P.-H., Wang C.-X., Li J.-N., Jia L.-B., Huang X.-M., Li D.-N., Xu D.-J., Deng Y.-L., Si T.-M., Dong H.-Q., Wang Y.-P., Cosci F., and Wang H.-X.
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Adult ,Male ,China ,Multivariate statistics ,Coronavirus disease 2019 (COVID-19) ,Stre ,Health Personnel ,Well-being ,Personal Satisfaction ,Anxiety ,Stress ,Standard Research Article ,03 medical and health sciences ,Social support ,0302 clinical medicine ,medicine ,Humans ,Chinese subjects ,030212 general & internal medicine ,Occupations ,Applied Psychology ,Illness Behavior ,Depression ,business.industry ,Social Support ,COVID-19 ,Psychological distress ,General Medicine ,Middle Aged ,Allostatic load ,030227 psychiatry ,Psychiatry and Mental health ,Clinical Psychology ,Allostasis ,Female ,Conditional logistic regression ,medicine.symptom ,business ,Stress, Psychological ,Medical worker ,Clinical psychology - Abstract
Background: As the fight against the COVID-19 epidemic continues, medical workers may have allostatic load. Objective: During the reopening of society, medical and nonmedical workers were compared in terms of allostatic load. Methods: An online study was performed; 3,590 Chinese subjects were analyzed. Socio-demographic variables, allostatic load, stress, abnormal illness behavior, global well-being, mental status, and social support were assessed. Results: There was no difference in allostatic load in medical workers compared to nonmedical workers (15.8 vs. 17.8%; p = 0.22). Multivariate conditional logistic regression revealed that anxiety (OR = 1.24; 95% CI 1.18–1.31; p < 0.01), depression (OR = 1.23; 95% CI 1.17–1.29; p < 0.01), somatization (OR = 1.20; 95% CI 1.14–1.25; p < 0.01), hostility (OR = 1.24; 95% CI 1.18–1.30; p < 0.01), and abnormal illness behavior (OR = 1.49; 95% CI 1.34–1.66; p < 0.01) were positively associated with allostatic load, while objective support (OR = 0.84; 95% CI 0.78–0.89; p < 0.01), subjective support (OR = 0.84; 95% CI 0.80–0.88; p < 0.01), utilization of support (OR = 0.80; 95% CI 0.72–0.88; p < 0.01), social support (OR = 0.90; 95% CI 0.87–0.93; p < 0.01), and global well-being (OR = 0.30; 95% CI 0.22–0.41; p < 0.01) were negatively associated. Conclusions: In the post-COVID-19 epidemic time, medical and nonmedical workers had similar allostatic load. Psychological distress and abnormal illness behavior were risk factors for it, while social support could relieve it.
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- 2020
10. Electrical stimulation of the lateral cerebellar nucleus promotes neurogenesis in rats after motor cortical ischemia
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Peng-Hu Wei, Wen Wang, Zheng Wu, Deyu Guo, Yufeng Wang, Min Liu, Zixin Zhu, Fangling Sun, Yongzhi Shan, Min Guo, Wenrong Zheng, Guoguang Zhao, Zijie Li, Tingting Liu, and Xin Tian
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Male ,Deep brain stimulation ,Neurogenesis ,Deep Brain Stimulation ,medicine.medical_treatment ,Neurosurgery ,Ischemia ,Subventricular zone ,lcsh:Medicine ,Electric Stimulation Therapy ,Stimulation ,Article ,Brain Ischemia ,Rats, Sprague-Dawley ,Neuroblast ,medicine ,Animals ,Regeneration and repair in the nervous system ,lcsh:Science ,Multidisciplinary ,business.industry ,Penumbra ,lcsh:R ,Motor Cortex ,Stroke Rehabilitation ,Recovery of Function ,medicine.disease ,Neural stem cell ,Stroke ,medicine.anatomical_structure ,Cerebellar Nuclei ,nervous system ,lcsh:Q ,business ,Neuroscience - Abstract
Deep brain stimulation (DBS) has been tentatively explored to promote motor recovery after stroke. Stroke could transiently activate endogenous self-repair processes, including neurogenesis in the subventricular zone (SVZ). In this regard, it is of considerable clinical interest to study whether DBS of the lateral cerebellar nucleus (LCN) could promote neurogenesis in the SVZ for functional recovery after stroke. In the present study, rats were trained on the pasta matrix reaching task and the ladder rung walking task before surgery. And then an electrode was implanted in the LCN following cortical ischemia induced by endothelin-1 injection. After 1 week of recovery, LCN DBS coupled with motor training for two weeks promoted motor function recovery, and reduced the infarct volumes post-ischemia. LCN DBS augmented poststroke neurogenetic responses, characterized by proliferation of neural progenitor cells (NPCs) and neuroblasts in the SVZ and subsequent differentiation into neurons in the ischemic penumbra at 21 days poststroke. DBS with the same stimulus parameters at 1 month after ischemia could also increase nascent neuroblasts in the SVZ and newly matured neurons in the perilesional cortex at 42 days poststroke. These results suggest that LCN DBS promotes endogenous neurogenesis for neurorestoration after cortical ischemia.
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- 2020
11. Generation-Load Coordinative Scheduling considering the Demand-Response Uncertainty of Inverter Air Conditioners
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Li Xiaorong, Wu Yi, Hu Wei, Xueming Li, Weiguo Zhang, Jin Yang, and Gao Ciwei
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Article Subject ,business.industry ,Computer science ,020209 energy ,General Mathematics ,020208 electrical & electronic engineering ,General Engineering ,02 engineering and technology ,Engineering (General). Civil engineering (General) ,Reliability engineering ,Scheduling (computing) ,Demand response ,Electric power system ,Air conditioning ,QA1-939 ,0202 electrical engineering, electronic engineering, information engineering ,Inverter ,TA1-2040 ,business ,Mathematics - Abstract
Inverter air conditioners (IACs) have gradually become the mainstream of resident air-conditioning equipment. Similar to traditional fixed-frequency air conditioners, IACs have the potential for demand response and load scheduling. However, the uncertainty of IACs is nonnegligible in generation-load scheduling. In this paper, the uncertain demand-response cost of IACs is studied for the first time. Meanwhile, based on the cost, a generation-load coordinative day-ahead scheduling model is proposed. In the scheduling, an IACs aggregator and traditional generators are coordinately dispatched to minimize the expected scheduling cost of the power system. The case study shows that the coordinative scheduling model can reduce the scheduling cost of the power system and encourage the IACs aggregator to improve their responsiveness or reduce their uncertainty, so as to improve the economy and reliability of power scheduling.
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- 2020
12. Security monitoring of heterogeneous networks for big data based on distributed association algorithm
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Hu Wei, Hui Xie, Cheng Jie, Guo Han, and Li Jing
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Scheme (programming language) ,Computer Networks and Communications ,Computer science ,business.industry ,Association (object-oriented programming) ,Big data ,020206 networking & telecommunications ,02 engineering and technology ,Set (abstract data type) ,Reduction (complexity) ,Alarm management ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,business ,computer ,Algorithm ,Heterogeneous network ,computer.programming_language - Abstract
With the continuous development of heterogeneous networks, the structure and scale of the network are becoming more and more complex, and the difficulty of processing network alarm information is also increasing. Therefore, an efficient and flexible alarm handling scheme will become especially important in the alarm management of heterogeneous networks. In the aspect of alarm analysis of heterogeneous networks, this paper proposes a corresponding distributed alarm analysis model and corresponding distributed association analysis algorithm. Combined with the structural characteristics of heterogeneous networks, the proposed distributed analysis model has many potential advantages. One of them is the significant reduction in the candidate set in the alarm database, which can greatly help us improve the efficiency of alarm correlation analysis in heterogeneous networks, thereby further reducing the time required for our alarm correlation analysis. In many respects, such improvement provides good technical support for the management of alarm information in heterogeneous networks. Finally, the simulation verification of the corresponding algorithm is given. The results show that under different support thresholds, the distributed association analysis algorithm has shorter running time.
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- 2020
13. Study on Detecting Dielectric Properties of Typical Electrical Insulation Materials by Terahertz Wave Spectroscopy
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Hongwei Mei, Jianben Liu, Liming Wang, Fanghui Yin, Lanxin Li, and Hu Wei
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Materials science ,General Computer Science ,Frequency band ,Terahertz radiation ,Physics::Optics ,02 engineering and technology ,Dielectric ,Signal ,020210 optoelectronics & photonics ,Sampling (signal processing) ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,terahertz wave ,Spectrometer ,business.industry ,General Engineering ,021001 nanoscience & nanotechnology ,Polarization (waves) ,TK1-9971 ,dielectric properties ,Optoelectronics ,Broadband dielectric spectrometer ,Dielectric loss ,Electrical engineering. Electronics. Nuclear engineering ,0210 nano-technology ,business ,insulation materials - Abstract
The dielectric properties of the electrical insulation materials is of great importance to the safe operation of the power system. As a promising technique in the field of material testing and with the very adaptive physical modeling of wave transmission process, terahertz wave was used to measure the dielectric properties of five commonly used insulation materials by two methods in this paper. When excluding the echo pulse from the reference signal and the sample signal, a better signal-noise ratio and a wider effective frequency band of spectrums can be obtained. Alternatively, the dielectric properties can also be achieved by separating the main pulse and echo pulse from the sample signal. The latter method makes the sampling of reference signal unnecessary. Furthermore, the dielectric properties of materials were also measured on a relative lower frequency band (1Hz–1MHz) by the broadband dielectric spectrometer. Compared with a relatively lower frequency band, due to the polarization, the dielectric constant of the tested insulation materials was lower on the terahertz band while the dielectric loss tangent was generally higher except the epoxy resin.
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- 2020
14. MEMS based display and LCD technology
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姜明宵 Jiang Ming-xiao, 邱云 Qiu Yun, 卜倩倩 Bu Qian-qian, 魏从从 Wei Cong-cong, 胡伟频 Hu Wei-pin, 孙晓 Sun Xiao, 王丹 Wang Dan, and 王纯 Wang Chun
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Microelectromechanical systems ,Liquid-crystal display ,law ,business.industry ,Computer science ,Signal Processing ,Electrical engineering ,business ,Instrumentation ,Electronic, Optical and Magnetic Materials ,law.invention - Published
- 2020
15. Strength properties of geopolymers derived from original and desulfurized red mud cured at ambient temperature
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Nie, Qingke, Hu, Wei, Ai, Tao, Huang, Baoshan, Shu, Xiang, and He, Qiang
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Industrial wastes -- Chemical properties -- Thermal properties -- Analysis ,Fly ash -- Usage -- Analysis ,Desulfuration -- Analysis ,Business ,Construction and materials industries - Abstract
ABSTRACT This study investigated the feasibility of using red mud derived from the Bayer process in alumina industry to make geopolymer cured at ambient temperature. Two types of red mud [...]
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- 2016
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16. Research on Throughput Optimization of NOMA System with Cooperative Full Duplex Relay
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Hu Wei, Rui Shi, Zhiyu Chen, Qingzi Wu, Siyu Huang, and Linna Hu
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Karush–Kuhn–Tucker conditions ,business.industry ,Computer science ,ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS ,medicine.disease ,System model ,law.invention ,Noma ,symbols.namesake ,Relay ,law ,Lagrange multiplier ,Computer Science::Networking and Internet Architecture ,medicine ,symbols ,Wireless ,business ,Throughput (business) ,Decoding methods ,Computer Science::Information Theory ,Computer network - Abstract
In order to improve the performance of wireless communication system, non-orthogonal multiple access (NOMA) technology is introduced to construct a full-duplex relay system model. This paper investigates the optimization throughput problem of non-orthogonal multiple access (NOMA) system with cooperative full duplex relay. Firstly, a full-duplex cooperative relay NOMA system model using decoding and forwarding protocol is established. Considering user fairness and maximum power limitation, the Lagrangian function and KKT conditions are used to obtain the optimal power allocation factor expression, and then the system throughput is maximized through the iterative Lagrangian multiplier. Simulation tests show that the proposed optimization algorithm can effectively improve the system throughput.
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- 2021
17. From the West to the East: validating servant leadership in the Chinese public sector
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Liu, Bangcheng, Hu, Wei, and Cheng, Yen-Chuan
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Employee motivation -- Analysis ,Public sector -- Management ,Leadership styles -- Methods ,Company business management ,Business ,Government ,Human resources and labor relations - Abstract
This study examined the generalizability of servant leadership constructs observed in Western society to China. Using a sample of 659 Chinese public employees, we observed the servant leadership in China, but the generalizability of the construct is limited, in that some of the dimensions of the construct were violated. This study also tested the relationships between supervisors' servant leadership and the public service motivation (PSM) of their immediate subordinates. This empirical study concluded that servant leadership is positively associated with public service motivation. The authors discussed the implications of the results for the administrative practices in Chinese public sector and raised issues for future research. Keywords servant leadership, public service motivation, public sector, China, Introduction With the organizational scandals and leadership crisis, interest in ethical styles of leadership is growing (Avolio & Gardner, 2005; Brown, Trevino, & Harrison, 2005; Van Knippenberg, De Cremer, & [...]
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- 2015
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18. Short-term optimal operation of hydro-wind-solar hybrid system with improved generative adversarial networks
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Zhang Hongxuan, Xiao Ming, Dong Ling, Hu Wei, Dong Yu, and Wang Yiting
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Power transmission ,Mathematical optimization ,Computer science ,business.industry ,020209 energy ,Mechanical Engineering ,Photovoltaic system ,02 engineering and technology ,Building and Construction ,Management, Monitoring, Policy and Law ,Renewable energy ,General Energy ,Variable renewable energy ,Power system simulation ,020401 chemical engineering ,Hybrid system ,0202 electrical engineering, electronic engineering, information engineering ,Stochastic optimization ,0204 chemical engineering ,business ,Integer programming - Abstract
The high penetration of variable renewable energy sources (RESs) has greatly increased the difficulty in power system scheduling and operation. To fully utilize the complementary characteristics of various RESs, a stochastic optimization model considering the strong regulation capacity of cascade hydropower stations and the uncertainty of wind and photovoltaic (PV) power is presented. Based on the improved generative adversarial networks, the spatial and temporal correlation characteristics between wind farms and PV plants are accurately captured via measured data. Due to the nonlinear features of the hydroelectric plants, linearization methods are adopted to reformulate the original model into a standard mixed integer linear programming (MILP) formulation. Then, the model is solved with a proposed two-stage approach, in which a heuristic algorithm is used to solve the first-stage unit commitment optimization. The cascade hydraulic connection and time delay of the water flow are established in the second stage to exploit the considerably controllable adjustment capability of hydropower generation. A renewable energy base in southwest China is chosen as a detailed case study. The simulation results reveal the potential of the large-scale application of only a hydro-wind-solar hybrid system to satisfy the power transmission demand with the guidance of the coordinated operation strategy, and the performance of the hybrid system can be further enhanced with high-quality scenarios from the proposed deep neural network.
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- 2019
19. Research on Optimal Operation Strategy of Multi-energy Power System Considering Complementary Coordination
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Li Yanhe, Hu Wei, Wang Yiting, Wu Shuang, and Zhang Jietan
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Wind power ,business.industry ,Computer science ,020209 energy ,Thermal power station ,02 engineering and technology ,Benders' decomposition ,Reliability engineering ,Electric power system ,020401 chemical engineering ,Cascade ,0202 electrical engineering, electronic engineering, information engineering ,Power grid ,0204 chemical engineering ,business ,Hydropower ,Decoupling (electronics) - Abstract
Due to the obvious different characteristics of multi-energy power sources, it is necessary to take into account the economic and safety requirements of the power grid at the same time to achieve optimal operation strategy (OOS). This paper focuses on the OOS of multi-energy power system (MEPS), which contains wind power, cascade hydropower, thermal power, and pumped-storage power. Considering the complementary coordinationc characteristics of different types of energy, a completed set of day-ahead coordinated and optimized operating models of MEPS is established, with multiple optimization objectives of maximizing the safety, economy and renewable energy consumption. In order to solve this complex multi-objective problem, a three-stage solution method based on Benders decomposition is proposed. Through decoupling the safety object and economic object of MEPS, efficient solution of the OOS is achieved. The digital simulation discusses the influence of factors such as the diversity of natural scenarios and the safety requirements of the system operation, and simulation results verify the effectiveness of proposed strategy.
- Published
- 2019
20. Room temperature synthesis of CdS/SrTiO3 nanodots-on-nanocubes for efficient photocatalytic H2 evolution from water
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Jian-Min Dou, Lei-Lei Li, Da-Cheng Li, Xing-Liang Yin, Deng-Hu Wei, and Chengchao Hu
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Materials science ,business.industry ,Heterojunction ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,medicine.disease_cause ,01 natural sciences ,0104 chemical sciences ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,Biomaterials ,Colloid and Surface Chemistry ,Photocatalysis ,medicine ,Water splitting ,Optoelectronics ,Nanodot ,0210 nano-technology ,business ,Ultrashort pulse ,Ultraviolet ,Chemical bath deposition ,Visible spectrum - Abstract
Spontaneous solar-driven water splitting to generate H2 with no pollution discharge is an ideal H2 generation approach. However, its efficiency remains far from real application owing to the poor light-harvesting and ultrafast charge recombination of photocatalysts. To address these issues, herein, we employed a novel but simple chemical bath deposition (CBD) method to construct CdS/SrTiO3 nanodots-on-nanocubes at room temperature (ca. 25 °C). The as-synthesized nanohybrids not only expand light absorption from ultraviolet (UV) to visible light but also significantly retard charge recombination owing to the well-defined heterostructure formation. As a result, the CdS/SrTiO3 exhibits high photocatalytic performance with H2 evolution rate of 1322 μmol g−1 h−1, which is 2.8 and 12.2 times higher than that of pristine CdS and SrTiO3, respectively. This work provides a universal approach for the heterostructure construction, and inspired by this, higher efficient photocatalysts for H2 evolution may be developed in the near future.
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- 2019
21. Research Progress of Detector Unit in Laser Ranging System
- Author
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顾小琨 Gu Xiao-kun, 李永亮 Li Yong-liang, 胡伟伟 Hu Wei-wei, 张英明 Zhang Ying-ming, 刘泓鑫 Liu Hong-xin, and 张翼鹏 Zhang Yi-peng
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Optics ,Materials science ,business.industry ,Detector ,General Medicine ,Laser ranging ,business ,Unit (housing) - Published
- 2019
22. Research Progress of Laser Spot Edge Detection Operator
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胡伟伟 Hu Wei-wei, 张英明 Zhang Ying-ming, 顾小琨 Gu Xiao-kun, 李永亮 Li Yong-liang, 刘泓鑫 Liu Hong-xin, and 张翼鹏 Zhang Yi-peng
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Optics ,law ,business.industry ,Computer science ,Operator (physics) ,General Medicine ,Laser ,business ,Edge detection ,law.invention - Published
- 2019
23. A dispersion flattened fiber front-haul transmission system with high bitrate signal at low input optical power
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HU Wei-sheng, Bai Cheng-Lin, Li Xin, Zheng Hong-jun, Zhu Long-yang, Xu Hengying, and Wang Xiao
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Physics ,business.industry ,Single-mode optical fiber ,Optical power ,Condensed Matter Physics ,Multiplexing ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,QAM ,Optics ,Bit error rate ,Dispersion-shifted fiber ,Electrical and Electronic Engineering ,Photonics ,business ,Quadrature amplitude modulation - Abstract
We propose a dispersion flattened fiber (DFF) front-haul transmission system with high bitrate, polarization multiplexing (PM) and quadrature amplitude modulation (QAM) signal at low input optical power. The modulation format of the system is PM-16QAM, and the bitrate is 256 Gbit/s. The transmission characteristics over DFF link system are experimentally studied, which are compared with those over non-zero dispersion shifted fiber (NZDSF) link and standard single mode fiber (SSMF) link. The experimental results show that the error vector magnitude (EVM) of 256 Gbit/s and PM-16QAM signal over 25 km DFF link is 0.75% better than that over 25 km NZDSF link at least, and the bit error rate (BER) and Q-factor are much better than those of NZDSF. Their EVM and BER are both decreased with the increase of input optical power, and the Q-factor is increased. Those characteristics over 25 km SSMF are the worst at the same case. The larger the dispersion is, the more the constellation points are deviated from their respective centers and the worse the constellation characteristics are. The greater the attenuation of the DFF is, the smaller the input power of the DFF is, the more the constellation points are deviated from their centers and the worse the constellation characteristics are. This study provides a new idea and experimental support for long span front-haul propagation in mobile communication.
- Published
- 2019
24. Stereotactic-EEG Guided Radiofrequency Thermocoagulation Versus Anterior Temporal Lobectomy for Mesial Temporal Lobe Epilepsy with Hippocampal Sclerosis: Study protocol for a randomized controlled trial
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Yi-He Wang, Xiaotong Fan, Jialin Du, Liankun Ren, Si-Chang Chen, Kun Yang, Yongzhi Shan, Fei Meng, Guoguang Zhao, and Peng-Hu Wei
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medicine.medical_specialty ,Medicine (General) ,medicine.medical_treatment ,Medicine (miscellaneous) ,Electroencephalography ,Stereotatic electroencephalograph (SEEG)-guided radiofrequency thermocoagulation (RF-TC) ,Hippocampus ,Stereoelectroencephalography ,law.invention ,Temporal lobe ,Study Protocol ,03 medical and health sciences ,Epilepsy ,0302 clinical medicine ,Radiofrequency thermocoagulation ,Physical medicine and rehabilitation ,R5-920 ,Randomized controlled trial ,law ,Electrocoagulation ,medicine ,Humans ,Pharmacology (medical) ,030212 general & internal medicine ,Anterior temporal lobectomy ,Randomized Controlled Trials as Topic ,Randomised controlled trial ,Hippocampal sclerosis ,Sclerosis ,medicine.diagnostic_test ,business.industry ,Mesial temporal lobe epilepsy ,Anterior Temporal Lobectomy ,medicine.disease ,Treatment Outcome ,Epilepsy, Temporal Lobe ,Child, Preschool ,Quality of Life ,business ,030217 neurology & neurosurgery - Abstract
Introduction In this report, we aim to describe the design for the randomised controlled trial of Stereotactic electroencephalogram (EEG)-guided Radiofrequency Thermocoagulation versus Anterior Temporal Lobectomy for Mesial Temporal Lobe Epilepsy with Hippocampal Sclerosis (STARTS). Mesial temporal lobe epilepsy (mTLE) is a classical subtype of temporal lobe epilepsy that often requires surgical intervention. Although anterior temporal lobectomy (ATL) remains the most popular treatment for mTLE, accumulating evidence has indicated that ATL can cause tetartanopia and memory impairments. Stereotactic EEG (SEEG)-guided radiofrequency thermocoagulation (RF-TC) is a non-invasive alternative associated with lower seizure freedom but greater preservation of neurological function. In the present study, we aim to compare the safety and efficacy of SEEG-guided RF-TC and classical ATL in the treatment of mTLE. Methods and analysis STARTS is a single-centre, two-arm, randomised controlled, parallel-group clinical trial. The study includes patients with typical mTLE over the age of 14 who have drug-resistant seizures for at least 2 years and have been determined via detailed evaluation to be surgical candidates prior to randomisation. The primary outcome measure is the cognitive function at the 1-year follow-up after treatment. Seizure outcomes, visual field abnormalities after surgery, quality of life, ancillary outcomes, and adverse events will also be evaluated at 1-year follow-up as secondary outcomes. Discussion SEEG-guided RF-TC for mTLE remains a controversial seizure outcome but has the advantage for cognitive and visual field protection. This is the first RCT studying cognitive outcomes and treatment results between SEEG-guided RF-TC and standard ATL for mTLE with hippocampal sclerosis. This study may provide higher levels of clinical evidence for the treatment of mTLE. Trial registration ClinicalTrials.gov NCT03941613. Registered on May 8, 2019. The STARTS protocol has been registered on the US National Institutes of Health. The status of the STARTS was recruiting and the estimated study completion date was December 31, 2021.
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- 2021
25. Research on Weakly Centralized Trading Mechanism of Distributed Energy Based on Smart Contract of Blockchain
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Yun Li, Hu Wei, and Jianjing Song
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Smart contract ,Traceability ,business.industry ,Transparency (market) ,Distributed generation ,Settlement (finance) ,Clearing ,Bidding ,Environmental economics ,business ,Risk management - Abstract
Based on the distributed energy marketization trading mechanism, this paper applies Blockchain technology to build a weakly centralized distributed energy trading mechanism, and proposes a weakly centralized distributed energy trading architecture and trading process based on the smart contract of Blockchain, identify the main types, the trading execution process and the core stored data. Based on the whole process of distributed energy trading, which including trade request release, risk assessment and plan management, market quotation and bidding trading, price matching, security check, blocking management, settlement and clearing, etc., smart contracts are designed for risk assessment, price matching, security check, settlement and clearing. On the one hand, fundamentally ensure the reliability and traceability of trading, improve the efficiency of the system. On the other hand, improve the fairness and transparency of the system, ensure the participation of market players, and promote the consumption level of distributed energy.
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- 2021
26. Lateralizing the affected side of hippocampal sclerosis with quantitative high angular resolution diffusion scalars: a preliminary approach validated by diffusion spectrum imaging
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Yi-He Wang, Peng-Hu Wei, Liankun Ren, Chao Lu, Yongzhi Shan, Jie Lu, Xiaotong Fan, Guoguang Zhao, and Zhen-Ming Wang
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Diffusion Spectrum Imaging ,Hippocampal sclerosis ,business.industry ,Fornix ,Hippocampus ,General Medicine ,Grey matter ,Entorhinal cortex ,medicine.disease ,Lateralization of brain function ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,medicine ,Cingulum (brain) ,Original Article ,business ,Nuclear medicine ,030217 neurology & neurosurgery - Abstract
BACKGROUND: Conflicts in regarding the lateralization of the seizure onset for mesial temporal lobe epilepsy (MTLE) are frequently encountered during presurgical evaluation. As a more elaborate, quantified protocol, indices of diffusion spectrum imaging (DSI) might be sensitive to evaluate the seizure involvement. However, the accuracy was less revealed. Herein, we determined the lateralizing value of the DSI indices among MTLE patients. METHODS: Eleven MTLE patients were enrolled together with 11 matched health contrasts. All the participants underwent a DSI scan and with reconstruction of the diffusion scalar, including quantitative anisotropy (QA), isotropic (ISO), and track density imaging (TDI) values. Statistics of these indices were applied to identify the differences between the healthy and ipsilateral sides, and those between the patients and the controls, with special attention to areas of the crura of fornix (FORX), the parahippocampal radiation of the cingulum (PHCR), the hippocampus (HP), parahippocampus (PHC), amygdala (AM) and entorhinal cortex (EC). RESULTS: Regarding lateralization, TDI of the FORX and the PHCR reached an AUC value of 0.95 and 0.93, respectively (P
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- 2021
27. Glucose Metabolism Characteristics of Extra-Hypothalamic Cortex in Patients With Hypothalamic Hamartomas (HH) Undergoing Epilepsy Evaluation: A Retrospective Study of 16 Cases
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Peng-Hu Wei, Di Wang, Xiaotong Fan, Yongzhi Shan, Fei Meng, Yi-He Wang, Liankun Ren, Yan-Feng Yang, Guoguang Zhao, and Yang An
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0301 basic medicine ,glucose metabolism ,Hippocampal formation ,lcsh:RC346-429 ,hypothalamic hamartomas ,Lateralization of brain function ,03 medical and health sciences ,Epilepsy ,0302 clinical medicine ,Cortex (anatomy) ,medicine ,Ictal ,lcsh:Neurology. Diseases of the nervous system ,Original Research ,Temporal cortex ,Neocortex ,business.industry ,extra-hypothalamic cortex ,Anatomy ,medicine.disease ,PET ,030104 developmental biology ,medicine.anatomical_structure ,nervous system ,Neurology ,epilepsy ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Neuroanatomy - Abstract
Purpose: There are few studies on the glucose metabolic characteristics of the extra-hypothalamic cortex in the hypothalamic hamartomas (HH). A comprehensive understanding of pathogenic progression of the disease is required from the perspective of cortical metabolism; therefore, we aimed to characterize metabolic characteristics of extra-hypothalamic in HH patients.Methods: We investigated the metabolic characteristics of 16 HH patients, all of whom underwent epilepsy evaluation at Xuan Wu Hospital between 2017 and 2019. The lateralization and cortical distribution pattern of hypometabolism was assessed and related to HH mass neuroanatomy on magnetic resonance imaging (MRI) as well as scalp-electroencephalogram (scalp-EEG) abnormalities. Furthermore, asymmetry measurements of region of interest (ROI) in the temporal cortex (hippocampal formation, amygdala, and lateral temporal neocortex) were quantitatively assessed based on the normalized average positron emission tomography (PET) voxel values. The surgery prognosis was assessed using the International League Against Epilepsy (ILAE) classification system.Results: The lateralization of hypometabolism in global visual ratings was consistent with the HH mass lateralization seen on MRI. Cortical hypometabolism showed three patterns depending whether the HH mass involved mammillary bodies, middle hypothalamus nucleus, or both. The three patterns were hypometabolism of the mesial temporal cortex with symptom of mesial temporal epilepsy (3/16, pattern I), lateral temporal, and extratemporal (frontal or parietal) cortex with symptom of neocortex temporal or frontal epilepsy (5/16, pattern II), and mesial and lateral temporal cortex and extratemporal (frontal or parietal) cortex with varied symptoms (8/16, pattern III), respectively. A significant difference in PET voxel values was found between bilateral hippocampal formation (P = 0.001) and lateral temporal neocortex in the third group (P = 0.005). We suggest that the hypometabolic characteristics of the extra-hypothalamic cortex in HH patients have three patterns. The final cortical hypometabolic pattern depends on the neuroanatomic location of the HH mass and was consistent with the main involved cortex of the interictal and ictal discharges. The third hypometabolic pattern with the most extensive cortical hypometabolism has a poorer prognosis.
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- 2021
28. Hierarchical and Distributed Dispatching of Microgrids Considering Uncertainty
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Xiangyu Kong, Lu Wenqi, Mehdi Rahmani-Andebili, Dehong Liu, Yu Shen, Chengshan Wang, and Hu Wei
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Mathematical optimization ,Computer science ,business.industry ,Renewable energy ,Power (physics) ,Demand response ,Electric power system ,symbols.namesake ,Distributed generation ,Lagrange multiplier ,Constraint programming ,symbols ,Microgrid ,business - Abstract
The interconnected microgrid system (IMS) is a promising solution for the problem of growing penetration of renewable-based microgrids into the power system. To optimally coordinate the operation of microgrids owned by different owners while considering uncertainties in market environment, a bi-level distributed optimized operation method for IMS with uncertainties is proposed in this chapter. A hierarchical and distributed operational communication architecture of IMS is first established. A bi-level distributed optimization model was built for IMS, where at the upper level, the IMS operates purchase-sale mode or demand response mode with the distribution network operator and optimizes the trading power with microgrids to maximize revenue. At the lower level, the chance constraint programming is used to describe and deal with the uncertainty of renewable energy and loads and optimize the output and energy storage of distributed energy with the goal of minimum cost. The analytical target cascading and augmented Lagrange method are combined to decouple and reconstruct the bi-level model for distributed solution and establish a fair price mechanism. The optimal solutions of the problem are obtained through parallel iteration, in which the price signal plays a coordinated role in the distributed iterative optimization process. Abundant case studies verify the advantages of the model and the performance of the proposed method.
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- 2021
29. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
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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, Jennifer, Carle, Georges, Carleton, Gillian, Carloni, Silvia, Carmona-Gutierrez, Didac, Carneiro, Leticia, Carnevali, Oliana, Carosi, Julian, Carra, Serena, Carrier, Alice, Carrier, Lucie, Carroll, Bernadette, Carter, A Brent, Carvalho, Andreia Neves, Casanova, Magali, Casas, Caty, Casas, Josefina, Cassioli, Chiara, Castillo, Eliseo, Castillo, Karen, Castillo-Lluva, Sonia, Castoldi, Francesca, Castori, Marco, Castro, Ariel, Castro-Caldas, Margarida, Castro-Hernandez, Javier, Castro-Obregon, Susana, Catz, Sergio, Cavadas, Claudia, Cavaliere, Federica, Cavallini, Gabriella, Cavinato, Maria, Cayuela, Maria, Cebollada Rica, Paula, Cecarini, Valentina, Cecconi, Francesco, Cechowska-Pasko, Marzanna, Cenci, Simone, Ceperuelo-Mallafré, Victòria, Cerqueira, João, Cerutti, Janete, Cervia, Davide, Cetintas, Vildan Bozok, Cetrullo, Silvia, Chae, Han-Jung, Chagin, Andrei, Chai, Chee-Yin, Chakrabarti, Gopal, Chakrabarti, Oishee, Chakraborty, Tapas, Chakraborty, Trinad, Chami, mounia, Chamilos, Georgios, Chan, David, Chan, Edmond, Chan, Edward, Chan, H.Y. Edwin, Chan, Helen, Chan, Hung, Chan, Matthew, Chan, Yau Sang, Chandra, Partha, Chang, Chih-Peng, Chang, Chunmei, Chang, Hao-Chun, Chang, Kai, Chao, Jie, Chapman, Tracey, Charlet-Berguerand, Nicolas, Chatterjee, Samrat, Chaube, Shail, Chaudhary, Anu, Chauhan, Santosh, Chaum, Edward, Checler, Frédéric, Cheetham, Michael, Chen, Chang-Shi, Chen, Guang-Chao, Chen, Jian-Fu, Chen, Liam, Chen, Leilei, Chen, Lin, Chen, Mingliang, Chen, Mu-Kuan, Chen, Ning, Chen, Quan, Chen, Ruey-Hwa, Chen, Shi, Chen, Wei, Chen, Weiqiang, Chen, Xin-Ming, Chen, Xiong-Wen, Chen, Xu, Chen, Yan, Chen, Ye-Guang, Chen, Yingyu, Chen, Yongqiang, Chen, Yu-Jen, Chen, Yue-Qin, Chen, Zhefan Stephen, Chen, Zhi, Chen, Zhi-Hua, Chen, Zhijian, Chen, Zhixiang, Cheng, Hanhua, Cheng, Jun, Cheng, Shi-Yuan, Cheng, Wei, Cheng, Xiaodong, Cheng, Xiu-Tang, Cheng, Yiyun, Cheng, Zhiyong, Chen, Zhong, Cheong, Heesun, Cheong, Jit Kong, Chernyak, Boris, Cherry, Sara, Cheung, Chi Fai Randy, Cheung, Chun Hei Antonio, Cheung, King-Ho, Chevet, Eric, Chi, Richard, Chiang, Alan Kwok Shing, Chiaradonna, Ferdinando, Chiarelli, Roberto, Chiariello, Mario, Chica, Nathalia, Chiocca, Susanna, Chiong, Mario, Chiou, Shih-Hwa, Chiramel, Abhilash, Chiurchiù, Valerio, Cho, Dong-Hyung, Choe, Seong-Kyu, Choi, Augustine, Choi, Mary, Choudhury, Kamalika Roy, Chow, Norman, Chu, Charleen, Chua, Jason, Chua, John Jia En, Chung, Hyewon, Chung, Kin Pan, Chung, Seockhoon, Chung, So-Hyang, Chung, Yuen-Li, Cianfanelli, Valentina, Ciechomska, Iwona, Cifuentes, Mariana, Cinque, Laura, Cirak, Sebahattin, Cirone, Mara, Clague, Michael, Clarke, Robert, Clementi, Emilio, Coccia, Eliana, Codogno, Patrice, Cohen, Ehud, Cohen, Mickael, Colasanti, Tania, Colasuonno, Fiorella, Colbert, Robert, Colell, Anna, Čolić, Miodrag, Coll, Nuria, Collins, Mark, Colombo, María, Colón-Ramos, Daniel, Combaret, Lydie, Comincini, Sergio, Cominetti, Márcia, Consiglio, Antonella, Conte, Andrea, Conti, Fabrizio, Contu, Viorica Raluca, Cookson, Mark, Coombs, Kevin, Coppens, Isabelle, Corasaniti, Maria Tiziana, Corkery, Dale, Cordes, Nils, Cortese, Katia, Costa, Maria do Carmo, Costantino, Sarah, Costelli, Paola, Coto-Montes, Ana, Crack, Peter, Crespo, Jose, Criollo, Alfredo, Crippa, Valeria, Cristofani, Riccardo, Csizmadia, Tamas, Cuadrado, Antonio, Cui, Bing, Cui, Jun, Cui, Yixian, Cui, Yong, Culetto, Emmanuel, Cumino, Andrea, Cybulsky, Andrey, Czaja, Mark, Czuczwar, Stanislaw, D'Adamo, Stefania, D'Amelio, Marcello, D'Arcangelo, Daniela, D'Lugos, Andrew, D'Orazi, Gabriella, da Silva, James, Dafsari, Hormos Salimi, Dagda, Ruben, Dagdas, Yasin, Daglia, Maria, Dai, Xiaoxia, Dai, Yun, Dai, Yuyuan, Dal Col, Jessica, Dalhaimer, Paul, Dalla Valle, Luisa, Dallenga, Tobias, Dalmasso, Guillaume, Damme, Markus, Dando, Ilaria, Dantuma, Nico, Darling, April, Das, Hiranmoy, Dasarathy, Srinivasan, Dasari, Santosh, Dash, Srikanta, Daumke, Oliver, Dauphinee, Adrian, Davies, Jeffrey, Dávila, Valeria, Davis, Roger, Davis, Tanja, Dayalan Naidu, Sharadha, De Amicis, Francesca, De Bosscher, Karolien, De Felice, Francesca, De Franceschi, Lucia, De Leonibus, Chiara, de Mattos Barbosa, Mayara, De Meyer, Guido, De Milito, Angelo, De Nunzio, Cosimo, De Palma, Clara, De Santi, Mauro, De Virgilio, Claudio, De Zio, Daniela, Debnath, Jayanta, DeBosch, Brian, Decuypere, Jean-Paul, Deehan, Mark, Deflorian, Gianluca, DeGregori, James, Dehay, Benjamin, Del Rio, Gabriel, Delaney, Joe, Delbridge, Lea, Delorme-Axford, Elizabeth, Delpino, M Victoria, Demarchi, Francesca, Dembitz, Vilma, Demers, Nicholas, Deng, Hongbin, Deng, Zhiqiang, Dengjel, Joern, Dent, Paul, Denton, Donna, DePamphilis, Melvin, Der, Channing, Deretic, Vojo, Descoteaux, Albert, Devis, Laura, Devkota, Sushil, Devuyst, Olivier, Dewson, Grant, Dharmasivam, Mahendiran, Dhiman, Rohan, di Bernardo, Diego, Di Cristina, Manlio, Di Domenico, Fabio, Di Fazio, Pietro, Di Fonzo, Alessio, Di Guardo, Giovanni, Di Guglielmo, Gianni, Di Leo, Luca, Di Malta, Chiara, Di Nardo, Alessia, Di Rienzo, Martina, Di Sano, Federica, Diallinas, George, Diao, Jiajie, Diaz-Araya, Guillermo, Díaz-Laviada, Inés, Dickinson, Jared, Diederich, Marc, Dieudé, Mélanie, Dikic, Ivan, Ding, Shiping, Ding, Wen-Xing, Dini, Luciana, Dinić, Jelena, Dinic, Miroslav, Dinkova-Kostova, Albena, Dionne, Marc, Distler, Jörg, Diwan, Abhinav, Dixon, Ian, Djavaheri-Mergny, Mojgan, Dobrinski, Ina, Dobrovinskaya, Oxana, Dobrowolski, Radek, Dobson, Renwick, Đokić, Jelena, Dokmeci Emre, Serap, Donadelli, Massimo, Dong, Bo, Dong, Xiaonan, Dong, Zhiwu, Dorn Ii, Gerald, Dotsch, Volker, Dou, Huan, Dou, Juan, Dowaidar, Moataz, Dridi, Sami, Drucker, Liat, Du, Ailian, Du, Caigan, Du, Guangwei, Du, Hai-Ning, Du, Li-Lin, du Toit, André, Duan, Shao-Bin, Duan, Xiaoqiong, Duarte, Sónia, Dubrovska, Anna, Dunlop, Elaine, Dupont, Nicolas, Durán, Raúl, Dwarakanath, Bilikere, Dyshlovoy, Sergey, Ebrahimi-Fakhari, Darius, Eckhart, Leopold, Edelstein, Charles, Efferth, Thomas, Eftekharpour, Eftekhar, Eichinger, Ludwig, Eid, Nabil, Eisenberg, Tobias, Eissa, N Tony, Eissa, Sanaa, Ejarque, Miriam, El Andaloussi, Abdeljabar, El-Hage, Nazira, El-Naggar, Shahenda, Eleuteri, Anna Maria, El-Shafey, Eman, Elgendy, Mohamed, Eliopoulos, Aristides, Elizalde, María, Elks, Philip, Elsasser, Hans-Peter, Elsherbiny, Eslam, Emerling, Brooke, Emre, N., Eng, Christina, Engedal, Nikolai, Engelbrecht, Anna-Mart, Engelsen, Agnete, Enserink, Jorrit, Escalante, Ricardo, Esclatine, Audrey, Escobar-Henriques, Mafalda, Eskelinen, Eeva-Liisa, Espert, Lucile, Eusebio, Makandjou-Ola, Fabrias, Gemma, Fabrizi, Cinzia, Facchiano, Antonio, Facchiano, Francesco, Fadeel, Bengt, Fader, Claudio, Faesen, Alex, Fairlie, W Douglas, Falcó, Alberto, Falkenburger, Bjorn, Fan, Daping, Fan, Jie, Fan, Yanbo, Fang, Evandro, Fang, Yanshan, Fang, Yognqi, Fanto, Manolis, Farfel-Becker, Tamar, Faure, Mathias, Fazeli, Gholamreza, Fedele, Anthony, Feldman, Arthur, Feng, Du, Feng, Jiachun, Feng, Lifeng, Feng, Yibin, Feng, Yuchen, Feng, Wei, Fenz Araujo, Thais, Ferguson, Thomas, Fernández, Álvaro, Fernandez-Checa, Jose, Fernández-Veledo, Sonia, Fernie, Alisdair, Ferrante, Anthony, Ferraresi, Alessandra, Ferrari, Merari, Ferreira, Julio, Ferro-Novick, Susan, Figueras, Antonio, Filadi, Riccardo, Filigheddu, Nicoletta, Filippi-Chiela, Eduardo, Filomeni, Giuseppe, Fimia, Gian Maria, Fineschi, Vittorio, Finetti, Francesca, Finkbeiner, Steven, Fisher, Edward, Fisher, Paul, Flamigni, Flavio, Fliesler, Steven, Flo, Trude, Florance, Ida, Florey, Oliver, Florio, Tullio, Fodor, Erika, Follo, Carlo, Fon, Edward, Forlino, Antonella, Fornai, Francesco, Fortini, Paola, Fracassi, Anna, Fraldi, Alessandro, Franco, Brunella, Franco, Rodrigo, Franconi, Flavia, Frankel, Lisa, Friedman, Scott, Fröhlich, Leopold, Frühbeck, Gema, Fuentes, Jose, Fujiki, Yukio, Fujita, Naonobu, Fujiwara, Yuuki, Fukuda, Mitsunori, Fulda, Simone, Furic, Luc, Furuya, Norihiko, Fusco, Carmela, Gack, Michaela, Gaffke, Lidia, Galadari, Sehamuddin, Galasso, Alessia, Galindo, Maria, Gallolu Kankanamalage, 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Sylvie, Giustiniani, Julien, Gluschko, Alexander, Goder, Veit, Goginashvili, Alexander, Golab, Jakub, Goldstone, David, Golebiewska, Anna, Gomes, Luciana, Gomez, Rodrigo, Gómez-Sánchez, Rubén, Gomez-Puerto, Maria Catalina, Gomez-Sintes, Raquel, Gong, Qingqiu, Goni, Felix, González-Gallego, Javier, Gonzalez-Hernandez, Tomas, Gonzalez-Polo, Rosa, Gonzalez-Reyes, Jose, González-Rodríguez, Patricia, Goping, Ing Swie, Gorbatyuk, Marina, Gorbunov, Nikolai, Görgülü, Kıvanç, Gorojod, Roxana, Gorski, Sharon, Goruppi, Sandro, Gotor, Cecilia, Gottlieb, Roberta, Gozes, Illana, Gozuacik, Devrim, Graef, Martin, Gräler, Markus, Granatiero, Veronica, Grasso, Daniel, Gray, Joshua, Green, Douglas, Greenhough, Alexander, Gregory, Stephen, Griffin, Edward, Grinstaff, Mark, Gros, Frederic, Grose, Charles, Gross, Angelina, Gruber, Florian, Grumati, Paolo, Grune, Tilman, Gu, Xueyan, Guan, Jun-Lin, Guardia, Carlos, Guda, Kishore, Guerra, Flora, Guerri, Consuelo, Guha, Prasun, Guillén, Carlos, Gujar, Shashi, 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Anna, Hernández, Agustín, Hernandez, Carlos, Hernandez-Diaz, Sergio, Hernandez-Gea, Virginia, Herpin, Amaury, Herreros, Judit, Hervás, Javier, Hesselson, Daniel, Hetz, Claudio, Heussler, Volker, Higuchi, Yujiro, Hilfiker, Sabine, Hill, Joseph, Hlavacek, William, Ho, Emmanuel, Ho, Idy, Ho, Philip Wing-Lok, Ho, Shu-Leong, Ho, Wan Yun, Hobbs, G Aaron, Hochstrasser, Mark, Hoet, Peter, Hofius, Daniel, Hofman, Paul, Höhn, Annika, Holmberg, Carina, Hombrebueno, Jose, Yi-Ren Hong, Chang-Won Hong, Hooper, Lora, Hoppe, Thorsten, Horos, Rastislav, Hoshida, Yujin, Hsin, I-Lun, Hsu, Hsin-Yun, Hu, Bing, Hu, Dong, Hu, Li-Fang, Hu, Ming Chang, Hu, Ronggui, Hu, Wei, Hu, Yu-Chen, Hu, Zhuo-Wei, Hua, Fang, Hua, Jinlian, Hua, Yingqi, Huan, Chongmin, Huang, Canhua, Huang, Chuanshu, Huang, Chuanxin, Huang, Chunling, Huang, Haishan, Huang, Kun, Huang, Michael, Huang, Rui, Huang, Shan, Huang, Tianzhi, Huang, Xing, Huang, Yuxiang Jack, Huber, Tobias, Hubert, Virginie, Hubner, Christian, Hughes, Stephanie, 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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. Y., Antas, P., Antebi, A., Anton, Z., Anwar, T., Apetoh, L., Apostolova, N., Araki, T., Araki, Y., Arasaki, K., Araujo, W. L., Araya, J., Arden, C., Arevalo, M. -A., Arguelles, S., Arias, E., Arikkath, J., Arimoto, H., Ariosa, A. R., Armstrong-James, D., Arnaune-Pelloquin, L., Aroca, A., Arroyo, D. S., Arsov, I., Artero, R., Asaro, D. M. L., Aschner, M., Ashrafizadeh, M., Ashur-Fabian, O., Atanasov, A. G., Au, A. K., Auberger, P., Auner, H. W., Aurelian, L., Autelli, R., Avagliano, L., Avalos, Y., Aveic, S., Aveleira, C. A., Avin-Wittenberg, T., Aydin, Y., Ayton, S., Ayyadevara, S., Azzopardi, M., Baba, M., Backer, J. M., Backues, S. K., Bae, D. -H., Bae, O. -N., Bae, S. H., Baehrecke, E. H., Baek, A., Baek, S. -H., Baek, S. H., Bagetta, G., Bagniewska-Zadworna, A., Bai, H., Bai, J., Bai, X., Bai, Y., Bairagi, N., Baksi, S., Balbi, T., Baldari, C. 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. 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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. J., Deretic, V., Descoteaux, A., Devis, L., Devkota, S., Devuyst, O., Dewson, G., Dharmasivam, M., Dhiman, R., di Bernardo, D., Di Cristina, M., Di Domenico, F., Di Fazio, P., Di Fonzo, A., Di Guardo, G., Di Guglielmo, G. M., Di Leo, L., Di Malta, C., Di Nardo, A., Di Rienzo, M., Di Sano, F., Diallinas, G., Diao, J., Diaz-Araya, G., Diaz-Laviada, I., Dickinson, J. M., Diederich, M., Dieude, M., Dikic, I., Ding, S., Ding, W. -X., Dini, L., Dinic, J., Dinic, M., Dinkova-Kostova, A. T., Dionne, M. S., Distler, J. H. W., Diwan, A., Dixon, I. M. C., Djavaheri-Mergny, M., Dobrinski, I., Dobrovinskaya, O., Dobrowolski, R., Dobson, R. C. J., Dokic, J., Dokmeci Emre, S., Donadelli, M., Dong, B., Dong, X., Dong, Z., Dorn II, G. W., Dotsch, V., Dou, H., Dou, J., Dowaidar, M., Dridi, S., Drucker, L., Du, A., Du, C., Du, G., Du, H. -N., Du, L. -L., du Toit, A., Duan, S. -B., Duan, X., Duarte, S. P., Dubrovska, A., Dunlop, E. A., Dupont, N., Duran, R. V., Dwarakanath, B. S., Dyshlovoy, S. 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. R., Ferrante, A. W., Ferraresi, A., Ferrari, M. F., Ferreira, J. C. B., Ferro-Novick, S., Figueras, A., Filadi, R., Filigheddu, N., Filippi-Chiela, E., Filomeni, G., Fimia, G. M., Fineschi, V., Finetti, F., Finkbeiner, S., Fisher, E. A., Fisher, P. B., Flamigni, F., Fliesler, S. J., Flo, T. H., Florance, I., Florey, O., Florio, T., Fodor, E., Follo, C., Fon, E. A., Forlino, A., Fornai, F., Fortini, P., Fracassi, A., Fraldi, A., Franco, B., Franco, R., Franconi, F., Frankel, L. B., Friedman, S. L., Frohlich, L. F., Fruhbeck, G., Fuentes, J. M., Fujiki, Y., Fujita, N., Fujiwara, Y., Fukuda, M., Fulda, S., Furic, L., Furuya, N., Fusco, C., Gack, M. U., Gaffke, L., Galadari, S., Galasso, A., Galindo, M. F., Gallolu Kankanamalage, S., Galluzzi, L., Galy, V., Gammoh, N., Gan, B., Ganley, I. G., Gao, F., Gao, H., Gao, M., Gao, P., Gao, S. -J., Gao, W., Gao, X., Garcera, A., Garcia, M. N., Garcia, V. E., Garcia-Del Portillo, F., Garcia-Escudero, V., Garcia-Garcia, A., Garcia-Macia, M., Garcia-Moreno, D., Garcia-Ruiz, C., Garcia-Sanz, P., Garg, A. D., Gargini, R., Garofalo, T., Garry, R. F., Gassen, N. C., Gatica, D., Ge, L., Ge, W., Geiss-Friedlander, R., Gelfi, C., Genschik, P., Gentle, I. E., Gerbino, V., Gerhardt, C., Germain, K., Germain, M., Gewirtz, D. A., Ghasemipour Afshar, E., Ghavami, S., Ghigo, A., Ghosh, M., Giamas, G., Giampietri, C., Giatromanolaki, A., Gibson, G. E., Gibson, S. B., Ginet, V., Giniger, E., Giorgi, C., Girao, H., Girardin, S. E., Giridharan, M., Giuliano, S., Giulivi, C., Giuriato, S., Giustiniani, J., Gluschko, A., Goder, V., Goginashvili, A., Golab, J., Goldstone, D. C., Golebiewska, A., Gomes, L. R., Gomez, R., Gomez-Sanchez, R., Gomez-Puerto, M. C., Gomez-Sintes, R., Gong, Q., Goni, F. M., Gonzalez-Gallego, J., Gonzalez-Hernandez, T., Gonzalez-Polo, R. A., Gonzalez-Reyes, J. A., Gonzalez-Rodriguez, P., Goping, I. S., Gorbatyuk, M. S., Gorbunov, N. V., Gorgulu, K., Gorojod, R. M., Gorski, S. M., Goruppi, S., Gotor, C., Gottlieb, R. A., Gozes, I., Gozuacik, D., Graef, M., Graler, M. H., Granatiero, V., Grasso, D., Gray, J. P., Green, D. R., Greenhough, A., Gregory, S. L., Griffin, E. F., Grinstaff, M. W., Gros, F., Grose, C., Gross, A. S., Gruber, F., Grumati, P., Grune, T., Gu, X., Guan, J. -L., Guardia, C. M., Guda, K., Guerra, F., Guerri, C., Guha, P., Guillen, C., Gujar, S., Gukovskaya, A., Gukovsky, I., Gunst, J., Gunther, A., Guntur, A. R., Guo, C., Guo, H., Guo, L. -W., Guo, M., Gupta, P., Gupta, S. K., Gupta, S., Gupta, V. B., Gupta, V., Gustafsson, A. B., Gutterman, D. D., H. B, R., Haapasalo, A., Haber, J. E., Hac, A., Hadano, S., Hafren, A. J., Haidar, M., Hall, B. S., Hallden, G., Hamacher-Brady, A., Hamann, A., Hamasaki, M., Han, W., Hansen, M., Hanson, P. I., Hao, Z., Harada, M., Harhaji-Trajkovic, L., Hariharan, N., Haroon, N., Harris, J., Hasegawa, T., Hasima Nagoor, N., Haspel, J. A., Haucke, V., Hawkins, W. D., Hay, B. A., Haynes, C. M., Hayrabedyan, S. B., Hays, T. S., He, C., He, Q., He, R. -R., He, Y. -W., He, Y. -Y., Heakal, Y., Heberle, A. M., Hejtmancik, J. F., Helgason, G. V., Henkel, V., Herb, M., Hergovich, A., Herman-Antosiewicz, A., Hernandez, A., Hernandez, C., Hernandez-Diaz, S., Hernandez-Gea, V., Herpin, A., Herreros, J., Hervas, J. H., Hesselson, D., Hetz, C., Heussler, V. T., Higuchi, Y., Hilfiker, S., Hill, J. A., Hlavacek, W. S., Ho, E. A., Ho, I. H. T., Ho, P. W. -L., Ho, S. -L., Ho, W. Y., Hobbs, G. A., Hochstrasser, M., Hoet, P. H. M., Hofius, D., Hofman, P., Hohn, A., Holmberg, C. I., Hombrebueno, J. R., Yi-Ren Hong, C. -W. H., Hooper, L. V., Hoppe, T., Horos, R., Hoshida, Y., Hsin, I. -L., Hsu, H. -Y., Hu, B., Hu, D., Hu, L. -F., Hu, M. C., Hu, R., Hu, W., Hu, Y. -C., Hu, Z. -W., Hua, F., Hua, J., Hua, Y., Huan, C., Huang, C., Huang, H., Huang, K., Huang, M. L. H., Huang, R., Huang, S., Huang, T., Huang, X., Huang, Y. J., Huber, T. B., Hubert, V., Hubner, C. A., Hughes, S. M., Hughes, W. E., Humbert, M., Hummer, G., Hurley, J. H., Hussain, S., Hussey, P. J., Hutabarat, M., Hwang, H. -Y., Hwang, S., Ieni, A., Ikeda, F., Imagawa, Y., Imai, Y., Imbriano, C., Imoto, M., Inman, D. M., Inoki, K., Iovanna, J., Iozzo, R. V., Ippolito, G., Irazoqui, J. E., Iribarren, P., Ishaq, M., Ishikawa, M., Ishimwe, N., Isidoro, C., Ismail, N., Issazadeh-Navikas, S., Itakura, E., Ito, D., Ivankovic, D., Ivanova, S., Iyer, A. K. V., Izquierdo, J. M., Izumi, M., Jaattela, M., Jabir, M. S., Jackson, W. T., Jacobo-Herrera, N., Jacomin, A. -C., Jacquin, E., Jadiya, P., Jaeschke, H., Jagannath, C., Jakobi, A. J., Jakobsson, J., Janji, B., Jansen-Durr, P., Jansson, P. J., Jantsch, J., Januszewski, S., Jassey, A., Jean, S., Jeltsch-David, H., Jendelova, P., Jenny, A., Jensen, T. E., Jessen, N., Jewell, J. 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B., Schramm, M., Schroder, B., Schuh, K., Schuller, C., Schulze, R. J., Schurmanns, L., Schwamborn, J. C., Schwarten, M., Scialo, F., Sciarretta, S., Scott, M. J., Scotto, K. W., Scovassi, A. I., Scrima, A., Scrivo, A., Sebastian, D., Sebti, S., Sedej, S., Segatori, L., Segev, N., Seglen, P. O., Seiliez, I., Seki, E., Selleck, S. B., Sellke, F. W., Selsby, J. T., Sendtner, M., Senturk, S., Seranova, E., Sergi, C., Serra-Moreno, R., Sesaki, H., Settembre, C., Setty, S. R. G., Sgarbi, G., Sha, O., Shacka, J. J., Shah, J. A., Shang, D., Shao, C., Shao, F., Sharbati, S., Sharkey, L. M., Sharma, D., Sharma, G., Sharma, K., Sharma, P., Sharma, S., Shen, H. -M., Shen, H., Shen, J., Shen, M., Shen, W., Shen, Z., Sheng, R., Sheng, Z., Sheng, Z. -H., Shi, J., Shi, X., Shi, Y. -H., Shiba-Fukushima, K., Shieh, J. -J., Shimada, Y., Shimizu, S., Shimozawa, M., Shintani, T., Shoemaker, C. J., Shojaei, S., Shoji, I., Shravage, B. V., Shridhar, V., Shu, C. -W., Shu, H. -B., Shui, K., Shukla, A. K., Shutt, T. E., Sica, V., Siddiqui, A., Sierra, A., Sierra-Torre, V., Signorelli, S., Sil, P., Silva, B. J. D. A., Silva, J. D., Silva-Pavez, E., Silvente-Poirot, S., Simmonds, R. E., Simon, A. K., Simon, H. -U., Simons, M., Singh, A., Singh, L. P., Singh, R., Singh, S. V., Singh, S. K., Singh, S. B., Singh, S., Singh, S. P., Sinha, D., Sinha, R. A., Sinha, S., Sirko, A., Sirohi, K., Sivridis, E. L., Skendros, P., Skirycz, A., Slaninova, I., Smaili, S. S., Smertenko, A., Smith, M. D., Soenen, S. J., Sohn, E. J., Sok, S. P. M., Solaini, G., Soldati, T., Soleimanpour, S. A., Soler, R. M., Solovchenko, A., Somarelli, J. A., Sonawane, A., Song, F., Song, H. K., Song, J. -X., Song, K., Song, Z., Soria, L. R., Sorice, M., Soukas, A. A., Soukup, S. -F., Sousa, D., Sousa, N., Spagnuolo, P. A., Spector, S. A., Srinivas Bharath, M. M., S, t. Clair D., Stagni, V., Staiano, L., Stalnecker, C. A., Stankov, M. V., Stathopulos, P. B., Stefan, K., Stefan, S. M., Stefanis, L., Steffan, J. S., Steinkasserer, A., Stenmark, H., Sterneckert, J., Stevens, C., Stoka, V., Storch, S., Stork, B., Strappazzon, F., Strohecker, A. M., Stupack, D. G., Su, H., Su, L. -Y., Su, L., Suarez-Fontes, A. M., Subauste, C. S., Subbian, S., Subirada, P. V., Sudhandiran, G., Sue, C. M., Sui, X., Summers, C., Sun, G., Sun, J., Sun, K., Sun, M. -X., Sun, Q., Sun, Y., Sun, Z., Sunahara, K. K. S., Sundberg, E., Susztak, K., Sutovsky, P., Suzuki, H., Sweeney, G., Symons, J. D., Sze, S. C. W., Szewczyk, N. J., Tabecka-Lonczynska, A., Tabolacci, C., Tacke, F., Taegtmeyer, H., Tafani, M., Tagaya, M., Tai, H., Tait, S. W. G., Takahashi, Y., Takats, S., Talwar, P., Tam, C., Tam, S. Y., Tampellini, D., Tamura, A., Tan, C. T., Tan, E. -K., Tan, Y. -Q., Tanaka, M., Tang, D., Tang, J., Tang, T. -S., Tanida, I., Tao, Z., Taouis, M., Tatenhorst, L., Tavernarakis, N., Taylor, A., Taylor, G. A., Taylor, J. M., Tchetina, E., Tee, A. R., Tegeder, I., Teis, D., Teixeira, N., Teixeira-Clerc, F., Tekirdag, K. A., Tencomnao, T., Tenreiro, S., Tepikin, A. V., Testillano, P. S., Tettamanti, G., Tharaux, P. -L., Thedieck, K., Thekkinghat, A. A., Thellung, S., Thinwa, J. W., Thirumalaikumar, V. P., Thomas, S. M., Thomes, P. G., Thorburn, A., Thukral, L., Thum, T., Thumm, M., Tian, L., Tichy, A., Till, A., Timmerman, V., Titorenko, V. I., Todi, S. V., Todorova, K., Toivonen, J. M., Tomaipitinca, L., Tomar, D., Tomas-Zapico, C., Tomic, S., Tong, B. C. -K., Tong, C., Tong, X., Tooze, S. A., Torgersen, M. L., Torii, S., Torres-Lopez, L., Torriglia, A., Towers, C. G., Towns, R., Toyokuni, S., Trajkovic, V., Tramontano, D., Tran, Q. -G., Travassos, L. H., Trelford, C. B., Tremel, S., Trougakos, I. P., Tsao, B. P., Tschan, M. P., Tse, H. -F., Tse, T. F., Tsugawa, H., Tsvetkov, A. S., Tumbarello, D. A., Tumtas, Y., Tunon, M. J., Turcotte, S., Turk, B., Turk, V., Turner, B. J., Tuxworth, R. I., Tyler, J. K., Tyutereva, E. V., Uchiyama, Y., Ugun-Klusek, A., Uhlig, H. H., Ulamek-Koziol, M., Ulasov, I. V., Umekawa, M., Ungermann, C., Unno, R., Urbe, S., Uribe-Carretero, E., Ustun, S., Uversky, V. N., Vaccari, T., Vaccaro, M. I., Vahsen, B. F., Vakifahmetoglu-Norberg, H., Valdor, R., Valente, M. J., Valko, A., Vallee, R. B., Valverde, A. M., Van den Berghe, G., van der Veen, S., Van Kaer, L., van Loosdregt, J., van Wijk, S. J. L., Vandenberghe, W., Vanhorebeek, I., Vannier-Santos, M. A., Vannini, N., Vanrell, M. C., Vantaggiato, C., Varano, G., Varela-Nieto, I., Varga, M., Vasconcelos, M. H., Vats, S., Vavvas, D. G., Vega-Naredo, I., Vega-Rubin-de-Celis, S., Velasco, G., Velazquez, A. P., Vellai, T., Vellenga, E., Velotti, F., Verdier, M., Verginis, P., Vergne, I., Verkade, P., Verma, M., Verstreken, P., Vervliet, T., Vervoorts, J., Vessoni, A. T., Victor, V. M., Vidal, M., Vidoni, C., Vieira, O. V., Vierstra, R. D., Vigano, S., Vihinen, H., Vijayan, V., Vila, M., Vilar, M., Villalba, J. M., Villalobo, A., Villarejo-Zori, B., Villarroya, F., Villarroya, J., Vincent, O., Vindis, C., Viret, C., Viscomi, M. T., Visnjic, D., Vitale, I., Vocadlo, D. J., Voitsekhovskaja, O. V., Volonte, C., Volta, M., Vomero, M., Von Haefen, C., Vooijs, M. A., Voos, W., Vucicevic, L., Wade-Martins, R., Waguri, S., Waite, K. A., Wakatsuki, S., Walker, D. W., Walker, M. J., Walker, S. A., Walter, J., Wandosell, F. G., Wang, B., Wang, C. -Y., Wang, C., Wang, D., Wang, F., Wang, G., Wang, H., Wang, H. -G., Wang, J., Wang, K., Wang, L., Wang, M. H., Wang, M., Wang, N., Wang, P., Wang, Q. J., Wang, Q., Wang, Q. K., Wang, Q. A., Wang, W. -T., Wang, W., Wang, X., Wang, Y., Wang, Y. -Y., Wang, Z., Warnes, G., Warnsmann, V., Watada, H., Watanabe, E., Watchon, M., Wawrzynska, A., Weaver, T. E., Wegrzyn, G., Wehman, A. M., Wei, H., Wei, L., Wei, T., Wei, Y., Weiergraber, O. H., Weihl, C. C., Weindl, G., Weiskirchen, R., Wells, A., Wen, R. H., Wen, X., Werner, A., Weykopf, B., Wheatley, S. P., Whitton, J. L., Whitworth, A. J., Wiktorska, K., Wildenberg, M. E., Wileman, T., Wilkinson, S., Willbold, D., Williams, B., Williams, R. S. B., Williams, R. L., Williamson, P. R., Wilson, R. A., Winner, B., Winsor, N. J., Witkin, S. S., Wodrich, H., Woehlbier, U., Wollert, T., Wong, E., Wong, J. H., Wong, R. W., Wong, V. K. W., Wong, W. W. -L., Wu, A. -G., Wu, C., Wu, J., Wu, K. K., Wu, M., Wu, S. -Y., Wu, S., Wu, W. K. K., Wu, X., Wu, Y. -W., Wu, Y., Xavier, R. J., Xia, H., Xia, L., Xia, Z., Xiang, G., Xiang, J., Xiang, M., Xiang, W., Xiao, B., Xiao, G., Xiao, H., Xiao, H. -T., Xiao, J., Xiao, L., Xiao, S., Xiao, Y., Xie, B., Xie, C. -M., Xie, M., Xie, Y., Xie, Z., Xilouri, M., Xu, C., Xu, E., Xu, H., Xu, J., Xu, L., Xu, W. W., Xu, X., Xue, Y., Yakhine-Diop, S. M. S., Yamaguchi, M., Yamaguchi, O., Yamamoto, A., Yamashina, S., Yan, S., Yan, S. -J., Yan, Z., Yanagi, Y., Yang, C., Yang, D. -S., Yang, H., Yang, H. -T., Yang, J. -M., Yang, J., Yang, L., Yang, M., Yang, P. -M., Yang, Q., Yang, S., Yang, S. -F., Yang, W., Yang, W. Y., Yang, X., Yang, Y., Yao, H., Yao, S., Yao, X., Yao, Y. -G., Yao, Y. -M., Yasui, T., Yazdankhah, M., Yen, P. M., Yi, C., Yin, X. -M., Yin, Y., Yin, Z., Ying, M., Ying, Z., Yip, C. K., Yiu, S. P. T., Yoo, Y. H., Yoshida, K., Yoshii, S. R., Yoshimori, T., Yousefi, B., Yu, B., Yu, H., Yu, J., Yu, L., Yu, M. -L., Yu, S. -W., Yu, V. C., Yu, W. H., Yu, Z., Yuan, J., Yuan, L. -Q., Yuan, S., Yuan, S. -S. F., Yuan, Y., Yuan, Z., Yue, J., Yue, Z., Yun, J., Yung, R. L., Zacks, D. N., Zaffagnini, G., Zambelli, V. O., Zanella, I., Zang, Q. S., Zanivan, S., Zappavigna, S., Zaragoza, P., Zarbalis, K. S., Zarebkohan, A., Zarrouk, A., Zeitlin, S. O., Zeng, J., Zeng, J. -D., Zerovnik, E., Zhan, L., Zhang, B., Zhang, D. 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)
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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.
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- 2021
30. Facial Nerve Length Influence on Vestibular Schwannoma Microsurgery Outcomes
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Xuesong Bai, Peng-Hu Wei, Xiaolong Wu, Ye Cheng, Yuhai Bao, Gang Song, Xiaoyu Zhang, and Jiantao Liang
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Adult ,Male ,Microsurgery ,medicine.medical_treatment ,Tumor resection ,Schwannoma ,Neurosurgical Procedures ,03 medical and health sciences ,0302 clinical medicine ,Imaging, Three-Dimensional ,Image Processing, Computer-Assisted ,Cutoff ,Medicine ,Humans ,Aged ,Vestibular system ,Receiver operating characteristic ,business.industry ,Neuroma, Acoustic ,Middle Aged ,medicine.disease ,Facial nerve ,Magnetic Resonance Imaging ,Facial Nerve ,030220 oncology & carcinogenesis ,Near total resection ,Surgery ,Female ,Neurology (clinical) ,business ,Nuclear medicine ,030217 neurology & neurosurgery - Abstract
Objective Facial nerve (FN) function preservation is the primary goal during vestibular schwannoma (VS) resection. Many factors are linked to postoperative FN outcomes. In the present study, we evaluated the association between FN length and VS surgical outcomes. Methods We included 70 consecutive patients who had undergone VS microsurgery between October 2019 and November 2020. The clinical data were prospectively obtained from the patients. The relative FN (rFN) length was obtained by subtracting the contralateral FN length from the ipsilateral FN length as measured using DSI Studio software (available at: http://dsi-studio.labsolver.org/ ). Results The postoperative FN function was House-Brackmann grade I in 47 of the 70 patients (67.1%), grade II in 10 (14.3%), and grade III in 13 (18.6%). Gross total resection (GTR) was performed in 61 patients (87.1%). A residual tumor was retained to preserve FN function in 9 of the 70 patients (12.9%), and rFN length was measured (mean diameter, 20.8 mm; range, 2.5-51.5]). On multivariate analysis, the rFN length was significantly associated with the extent of tumor resection. The receiver operating characteristic curve indicated that the cutoff value for rFN length to predict for intraoperative near total resection versus GTR was 36.6 mm, with a specificity and sensitivity of 93.4% and 88.9%, respectively. Conclusions The rFN length is important for predicting surgical outcomes. An rFN length >36.6 mm might indicate difficulty in achieving GTR with preservation of FN function. Therefore, the rFN length could become an objective indicator for neurosurgeons to predict the difficulty of GTR to preserve FN function.
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- 2020
31. Deep Supervised Binary Hash Codes for Footprint Image Retrieval
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Bao Wen-xia, Wang Nian, Liang Dong, Hu Wei, and Huang Fuxiang
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Footprint ,Similarity (geometry) ,Matching (graph theory) ,business.industry ,Computer science ,Hash function ,Feature extraction ,Pattern recognition ,Artificial intelligence ,business ,Convolutional neural network ,Image retrieval ,Image (mathematics) - Abstract
Footprints can provide strong evidence for the detection of criminal cases, and the similarity retrieval of footprint images is generally carried out using hand-extracted image features, which have problems such as low retrieval matching accuracy and slow retrieval speed. In order to solve the above problems, a footprint image retrieval method based on deep supervised binary hash(DSBH) is proposed, and the feature extraction of footprint image is carried out by using the convolutional neural network, which can be combined with the deep hash algorithm to solve the retrieval problem of footprint image. The experimental results can reach 0.980, which proves the effectiveness of this method.
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- 2020
32. Adaptive snubber-type magnetorheological fluid--elastomeric helicopter lag damper
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Ngatu, Grum T., Hu, Wei, Wereley, Norman M., and Kothera, Curt S.
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Magnetic fluids -- Usage ,Damping (Mechanics) -- Equipment and supplies ,Machinery -- Design and construction ,Magneto-electric machines -- Design and construction ,Helicopters -- Equipment and supplies ,Rotors -- Equipment and supplies ,Engineering design -- Methods ,Aerospace and defense industries ,Business - Abstract
A snubber-type magnetorheolugical fluid--elastomeric lag damper is developed to provide adaptive lead-lag damping augmentation for a hingeless helicopter rotor. The magnetorheological fluid--elastomeric lag damper consists of a flow valve, a flexible snubber body, and a flexible center wall separating the body into two fluid chambers. Magnetorheological fluid enclosed in the snubber body can flow through two magnetorheological valves and be activated by a magnetic field in the valves. Consistent with the loading conditions for a helicopter lag damper, the magnetorheological fluid--elastomeric damper is tested under single and dual frequency excitations. The complex modulus method was used to compare the magnetorheological fluid--elastomeric device damping performance with the baseline passive Fluidlastic damper. A significant controllable damping range is observed as current is applied to the magnetorheological valve in the magnetorheological fluid--elastomeric damper. Furthermore, to account for the nonlinear hysteresis behavior of the magnetorheological fluid--elastomeric damper and estimate the damping force, a time-domain hydromechanical model is formulated based on lumped parameters. Model parameters are established using damper geometry, material properties, and experimental data. The model is then applied to simulate the force vs displacement response and force time history under both single and dual frequency excitations. DOI: 10.2514/1.43356
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- 2010
33. Range profile analysis of the 2-D target above a rough surface based on the electromagnetic numerical simulation
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He, Si-Yuan, Deng, Fang-Shun, Chen, Hai-Tao, Yu, Wen-Xian, Hu, Wei-Dong, and Zhu, Guo-Qiang
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Numerical analysis -- Methods ,Mobile communication systems -- Research ,Wireless communication systems -- Research ,Electromagnetic waves -- Scattering ,Electromagnetic waves -- Methods ,Wireless technology ,Business ,Computers ,Electronics ,Electronics and electrical industries - Published
- 2009
34. Semi-active magnetorheological helicopter crew seat suspension for vibration isolation
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Hiemenz, Gregory J., Hu, Wei, and Wereley, Norman M.
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Vibration ,Aerospace and defense industries ,Business ,Science and technology - Abstract
This study explores the use of magnetorheological dampers in a semi-active seat suspension system for helicopter crew seats to enhance occupant comfort. Key concepts in designing a magnetorheological seat suspension system to isolate the occupant from rotorcraft vibration are identified. Using these design concepts, a magnetorheological damper is designed, fabricated, and retrofitted into a tactical SH-60 Seahawk crew seat. This magnetorheological damper is implemented in series with the existing fixed load energy absorbers such that the crashworthiness capability of the seat is not impaired. Semi-active control is implemented and performance is evaluated both analytically and experimentally. Experimental test results have shown that this system reduced the dominant rotor-induced vertical vibration (4 per rev) transmitted to a 50th percentile male aviator by 76%, which is a 61-70% improvement over the unmodified SH-60 crew seat depending upon whether a soft seat cushion is used. Furthermore, these experimental tests also show that this system significantly reduces vertically induced seat rocking that occurs as a result of an offset center of gravity in the crew seat design.
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- 2008
35. Self-Locking Stand-Alone Cage Used from Opposite Approach for the Treatment of Adjacent Segment Disease After an Anterior Cervical Corpectomy and Fusion
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Hu Wei, Jiang Zehua, Liu Yidong, Zhu Rusen, Zhang Tengfei, and Kan Shunli
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Adult ,Male ,medicine.medical_specialty ,Dura mater ,medicine.medical_treatment ,Radiography ,03 medical and health sciences ,0302 clinical medicine ,Epidural hematoma ,Postoperative Complications ,medicine ,Humans ,Orthopedic Procedures ,Corpectomy ,Aged ,Retrospective Studies ,Cobb angle ,business.industry ,Prostheses and Implants ,Middle Aged ,medicine.disease ,Dysphagia ,Sagittal plane ,Surgery ,medicine.anatomical_structure ,Spinal Fusion ,Treatment Outcome ,Orthopedic surgery ,Cervical Vertebrae ,Female ,Neurology (clinical) ,Spondylosis ,medicine.symptom ,business ,030217 neurology & neurosurgery ,Diskectomy - Abstract
AIM To investigate the efficacy and safety of the self-locking stand-alone cage used from opposite approach for the treatment of adjacent segment disease (ASD) after an anterior cervical corpectomy and fusion (ACCF). MATERIAL AND METHODS In this study, we retrospectively analyzed the clinical data of 8 cases of ACCF in the treatment of ASD cervical spondylopathy. All patients received self-locking stand-alone cage treatment. At different time points, the clinical status was evaluated using the Japan Orthopedic Association (JOA) score, JOA recovery rate (RR), and Neck Disability index (NDI) score. X-ray measurements included C2-C7 Cobb angle, fusion segment angle (FSA), cervical vertebral bow depth (VBP), and height of surgical segment (HOS). Statistical imaging parameters of sagittal cervical spine. Bone graft fusion in all self-locking stand-alone cage segments was evaluated. RESULTS All operations were successfully completed, and no infection, epidural hematoma, or rupture of the dura mater were observed in all patients. Compared with pre-operation, the JOA and NDI scores at 3 months and at the last follow-up were significantly improved (p < 0.05). The JOA recovery rate between the final follow-up and preoperatively was 64.8±5.2%. One patient had dysphagia postoperatively, but was resolved after 3 months. Three months after surgery, the sagittal radiographic outcomes improved significantly and were well maintained during the final follow-up. CONCLUSION The self-locking stand-alone cage is a reliable and effective method used from the opposite approach for the treatment of ASD after ACCF in terms of JOA and NDI scores. The cervical alignment correction is considered satisfactory.
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- 2020
36. Detection of users-transformer relationship in the secondary power distribution system with smart meter data
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Wang Yunlong, Hu Wei, Qiuting Guo, Wang Jian, Zhao Zhiyang, and Liu Yue
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Computer science ,Smart meter ,business.industry ,020209 energy ,Real-time computing ,02 engineering and technology ,01 natural sciences ,law.invention ,Distribution system ,010104 statistics & probability ,law ,0202 electrical engineering, electronic engineering, information engineering ,Electricity ,0101 mathematics ,Transformer ,business ,Voltage - Abstract
Due to frequent changes in settings at the secondary power distribution system, the records of the relationship between users and transformers do not update simultaneously. Relying on manual detections not only takes too much time but also requires special equipment. The paper proposes a method to detect the relationship between users and the transformer based on the distribution network operational data collected from smart meter. The method uses Principal Component Analysis (PCA) and Independent Component Analysis (ICA) to extract features from voltage time series data. The data in the paper is collected from local electricity utilities and the case study shows that using the proposed method can successfully identify the relationship between users and transformers with the voltage and current low-frequency time series data.
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- 2020
37. Intelligent recognition method of the typical pointer electric instrument based on machine vision
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Kuang Fan and Hu Wei
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Line fitting ,Computer science ,business.industry ,Machine vision ,Image quality ,Feature extraction ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Image processing ,Filter (signal processing) ,Computer Science::Computer Vision and Pattern Recognition ,Pointer (computer programming) ,Computer vision ,Artificial intelligence ,business ,Rotation (mathematics) - Abstract
In order to solve the problem that existing recognition methods of typical pointer electric instrument which demand high image quality and are greatly influenced by the environment, an intelligent recognition method based on machine vision is proposed. In the process of image processing, an image transformation method is used to eliminate the influence of the shooting Angle. A dynamic threshold segmentation method is used to segment the image, which is not sensitive to the alteration of illumination. By setting different filter parameters, the regions of dashboard, calibration and pointer can be exactly extracted. The subpixel edge extraction method and the circle fitting method are used to extract the features of the dashboard contains radius and rotation center. The method of minimum external rectangle is used to extract the features of calibration and pointer, which contains the information of width, height and rotation angle. The fitted instrument is reconstructed by means of circle fitting and line fitting with the extracted features of dashboard, calibration and pointer. Based on the function between indicator number and the rotation angle of pointer, the indicator number can be calculated. This recognition method can be applied to the indoor and outdoor environment in the substation. Comparing the artificial reading with the indicator number recognized by this recognition method, it is proved that this method provides perfect identification accuracy.
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- 2020
38. A Zero-Crossing Detection Circuit for Energy Harvesting
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Cheng Xin, Tang Zechen, Xie Guang-jun, Zhang Zhang, Liu Gang, and Hu Wei
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Computer science ,business.industry ,020208 electrical & electronic engineering ,010401 analytical chemistry ,Electrical engineering ,Hardware_PERFORMANCEANDRELIABILITY ,02 engineering and technology ,Zero crossing ,01 natural sciences ,0104 chemical sciences ,law.invention ,Power (physics) ,Synchronization (alternating current) ,Rectifier ,Capacitor ,Sampling (signal processing) ,law ,Hardware_INTEGRATEDCIRCUITS ,0202 electrical engineering, electronic engineering, information engineering ,business ,Energy harvesting ,Hardware_LOGICDESIGN ,Voltage - Abstract
Synchronized switch harvesting on capacitors (SSHC) circuit can effectively improve the efficiency of piezoelectric energy harvesting circuit. However, its output power and voltage flip efficiency are deeply affected by the accuracy of zero-crossing detection circuit. Based on SSHC circuit using potential comparison method, a piezoelectric energy harvesting circuit composed of piezoelectric element, zero-crossing detection circuit, pulse generation circuit, full-bridge rectifier and load is designed. The zero-crossing detection circuit using sampling resistance method can accurately determines the closing time of switches and improve the accuracy of this circuit. The simulation results show that this circuit can effectively improve the voltage flip efficiency and output power, too. In the case of a load of 100kΩ, the output power of proposed circuit is 368.72μW. Compared with the single-capacitor SSHC circuit using potential comparison method, it is improved by 46.08%.
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- 2020
39. A Data Repair Method for Missing Voltage Data of Smart Meter Users
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Fan Yang, Xian Cao, Zeyang Tang, Hu Wei, Tao Li, Wang Wenshuo, and Yu Shen
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business.industry ,Smart meter ,Computer science ,Power consumption ,Real-time computing ,System integration ,The Internet ,Data repair ,business ,Maintenance engineering ,Power (physics) ,Voltage - Abstract
This paper proposes a method to repair the missing voltage data of smart meter users, which includes four steps: acquiring the user voltage data of a power distribution area through the power consumption information acquisition system; calculating the average values of voltage difference at corresponding time between each user and others; making user groups according to the average values of user voltage difference; and repairing the user missing voltage data according to the grouping result. The case study shows that the method can repair the missing voltage data of smart meter users, which provides an important data basis for the development of related business.
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- 2020
40. DC-side Voltage Control Strategy of Dynamic Voltage Regulator Based on Nine-switch Conversion Circuit
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Hu Wei, Yaozong Yin, Shangzhi Pan, and Jinwu Gong
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Electric power system ,Modulation ,Computer science ,business.industry ,Voltage control ,Volume (computing) ,Electrical engineering ,System integration ,Voltage regulator ,business ,Power (physics) ,Voltage - Abstract
With the increasing application of power electronic equipment in power systems, the power quality problems of power grids are becoming more and more serious. And the various precision power equipment have higher requirements for power quality. The nine-switch converter has significant advantages in terms of cost and volume, compared with the traditional back-to-back type twelve-switch converter structure. This paper introduces topological structure, pulse-modulation and the mathematical model of the DVR (Dynamic Voltage Regulator) based on nine-switch conversion. On this basis, the method to reduce the DC side voltage of the nine-switch converter is proposed, and the feasibility of the scheme is verified by simulation.
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- 2020
41. Intelligent Line Losses Management System For Secondary Power Distribution Network Based On SSM Framework
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Huang Xu, Hu Wei, Liu Yajun, Weiheng Wang, Qiuting Guo, and Yue Liu
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Electric power system ,Data processing ,Computer science ,business.industry ,Management system ,System integration ,Electricity ,Line (text file) ,business ,Energy (signal processing) ,Reliability engineering ,Power (physics) - Abstract
Due to the rapid development of electricity consumption and market, more and more related devices need to be used for the increasing users, the scale and structure of the secondary power distribution network have therefore become increasingly great and complex, lead to the result that line losses become higher line losses In order to better manage secondary power distribution network and reduce line losses, the paper proposed a new intelligent line losses management system for secondary power distribution network line losses. The system is built based on SSM framework and uses front-end and backend separation method. SSM framework is the integration of Spring, Spring MVC and Mybatis and thus has combined advantages of the three frameworks. The front-end is based on Bootstrap framework, and back-end is based on and SSM framework. In the system, data processing module, theoretical line losses calculation module and line losses evaluation module are built to calculate line losses and create the standards of line losses evaluation, while line losses management module is used for visualizing and monitoring the line losses situation which can be the reference of governance, planning and development of distribution network line losses problems. Finally, the system can help us make significant contribution to improving the benefits of power utilities, reducing energy waste, solving the environment pollution problem, and thus building an energy-saving and environmentally-friendly future.
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- 2020
42. How can the accuracy of SEEG be increased?-an analysis of the accuracy of multilobe-spanning SEEG electrodes based on a frameless stereotactic robot-assisted system
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Yi-He Wang, Peng-Hu Wei, Guoguang Zhao, Xiaotong Fan, Fei Meng, Yongzhi Shan, Yang An, Chao Lu, and Si-Chang Chen
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Adult ,Drug Resistant Epilepsy ,Adolescent ,Head holder ,Angular error ,Stereoelectroencephalography ,Stereotaxic Techniques ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Medicine ,Humans ,Child ,Electrode placement ,Advanced and Specialized Nursing ,business.industry ,Electroencephalography ,Robotics ,Electrodes, Implanted ,Angular deviation ,Anesthesiology and Pain Medicine ,030220 oncology & carcinogenesis ,Child, Preschool ,Refractory epilepsy ,Electrode ,Female ,business ,030217 neurology & neurosurgery ,Biomedical engineering - Abstract
BACKGROUND A frameless stereotactic robot-assisted system allows stereoelectroencephalography (SEEG) electrodes to span multiple lobes. As the angularity and length are increased, maintaining accuracy of the electrodes becomes more challenging. The goal of this study was to analyze the factors that influence the accuracy of multilobe-spanning SEEG electrodes inserted using a frameless stereotactic robot-assisted system. METHODS A total of 322 SEEG electrodes were implanted in 39 patients with refractory epilepsy, and sixty-one multilobe-spanning SEEG electrodes were selected to analyze the factors that influenced the accuracy of implantation. The target error, entrance error, depth error, and angular error were calculated by a specialized computer program. Factors including electrode depth, angular deviation, referencing method, head holder choice, and use of a predrill procedure were analyzed to determine their effects on accuracy. RESULTS Thirty-nine patients (aged 2-35 years, median: 19 years; 21 females) underwent frameless robot-assisted SEEG electrode implantation. The mean distance between the intended target and actual tip location was 2.57±1.70 mm (range, 0.42-9.02 mm). The mean distance between the intended entrance point and the actual location was 2.2±1.29 mm (range, 0.70-6.13 mm). The mean length of the electrodes was 84.63±7.61 mm (range, 70.60-103.99 mm). The depth error was 1.36±1.22 mm (range, 0.03-6.69 mm), and the angular deviation was 1.64±1.12 degrees (range, 0.15-4.93 degrees). Multifactor regression analysis showed that entrance error, electrode depth, depth error, angular deviation, referencing method, and head holder choice could explain 59.5% of the electrode target error. Angular deviation, choice of registration approach and head holder and the use of a predrill procedure could explain 48.1% of the electrode entrance error. Use of a predrill procedure significantly reduced the electrode angular deviation (P
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- 2020
43. Characterization of outdoor air pollution from solid fuel combustion in Xuanwei and Fuyuan, a rural region of China
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Hu, Wei, Downward, George, Wong, Jason Y Y, Reiss, Boris, Rothman, Nathaniel, Portengen, Lützen, Li, Jihua, Jones, Rena R, Huang, Yunchao, Yang, Kaiyun, Chen, Ying, Xu, Jun, He, Jun, Bassig, Bryan, Seow, Wei Jie, Hosgood, H Dean, Zhang, Linlin, Wu, Guoping, Wei, Fusheng, Vermeulen, Roel, Lan, Qing, dIRAS RA-2, IRAS OH Epidemiology Chemical Agents, LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-2, IRAS OH Epidemiology Chemical Agents, and LS IRAS EEPI GRA (Gezh.risico-analyse)
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Air Pollutants/analysis ,China ,Air pollution ,Coal combustion products ,lcsh:Medicine ,Environmental/analysis ,010501 environmental sciences ,Combustion ,medicine.disease_cause ,01 natural sciences ,complex mixtures ,Article ,Air Pollution/analysis ,law.invention ,Environmental impact ,Heating ,03 medical and health sciences ,0302 clinical medicine ,Indoor air quality ,law ,Air Pollution ,medicine ,Coal ,Cooking ,lcsh:Science ,Coal/toxicity ,0105 earth and related environmental sciences ,Air Pollutants ,Multidisciplinary ,business.industry ,lcsh:R ,Environmental engineering ,Solid fuel ,Carcinogens, Environmental ,Ventilation ,Risk factors ,030220 oncology & carcinogenesis ,Stove ,Ventilation (architecture) ,Carcinogens ,Environmental science ,lcsh:Q ,Carcinogens, Environmental/analysis ,business - Abstract
Outdoor air pollution is a growing public health concern, particularly in urban settings. However, there are limited epidemiological data on outdoor air pollution in rural areas with substantial levels of air pollution attributed to solid fuel burning for household cooking and heating. Xuanwei and Fuyuan are rural counties in China where the domestic combustion of locally sourced bituminous (“smoky”) coal has been associated with the highest lung cancer rates in China. We previously assessed indoor and personal air pollution exposures in this area; however, the influence of indoor coal combustion and household ventilation on outdoor air pollution has not been assessed. Therefore, we measured outdoor fine particulate matter (PM2.5), species of polycyclic aromatic hydrocarbons (PAHs) including naphthalene (NAP) and the known carcinogen benzo(a)pyrene (BaP), sulfur dioxide (SO2), and nitrogen dioxide (NO2) over two consecutive 24-h sampling periods in 29 villages. Just over half of the villages were revisited two to nine months after the initial sampling period to repeat all measurements. The overall geometric mean (GM) of outdoor PM2.5, BaP, NAP, and NO2 were 45.3 µg/m3, 9.7 ng/m3, 707.7 ng/m3, and 91.5 µg/m3, respectively. Using linear mixed effects models, we found that burning smoky coal was associated with higher outdoor BaP concentrations [GM ratio (GMR) = 2.79] and lower outdoor SO2 detection rates (GMR = 0.43), compared to areas burning smokeless coal. Areas with predominantly ventilated stoves (> 50% of stoves) had higher outdoor BaP (GMR = 1.49) compared to areas with fewer ventilated stoves. These results show that outdoor air pollution in a rural region of China was associated with the type of coal used for cooking and heating indoors and the presence of stove ventilation. Our findings suggest that efforts of household stove improvement to reduce indoor air pollution have resulted in higher outdoor air pollution levels. Further reducing adverse health effects in rural villages from household coal combustion will require the use of cleaner fuel types.
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- 2020
44. Stereo-crossed ablation guided by stereoelectroencephalography for epilepsy: comprehensive coagulations a network of multi-electrodes
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Peng-Hu Wei, Fei Meng, Yan-Feng Yang, Yongzhi Shan, Hua-Qiang Zhang, Si-Chang Chen, Yi-He Wang, Mu-Yang Li, Liankun Ren, Xiaotong Fan, Si-Qi Ou, Yang An, Chao Lu, and Guoguang Zhao
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medicine.medical_treatment ,stereo-crossed ,Stereoelectroencephalography ,lcsh:RC346-429 ,030218 nuclear medicine & medical imaging ,stereoelectroencephalography ,03 medical and health sciences ,Epilepsy ,0302 clinical medicine ,Radiofrequency thermocoagulation ,medicine ,lcsh:Neurology. Diseases of the nervous system ,Original Research ,Pharmacology ,Therapeutic Perspectives in Neurology ,business.industry ,radiofrequency thermocoagulation ,Ablation ,medicine.disease ,Neurology ,Electrode ,epilepsy ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Biomedical engineering - Abstract
Background: Introducing multiple different stereoelectroencephalography electrodes in a three-dimensional (3D) network to create a 3D-lesioning field or stereo-crossed radiofrequency thermocoagulation (scRF-TC) might create larger lesioning size; however, this has not been quantified to date. This study aimed to quantify the configurations essential for scRF-TC. Methods: By using polyacrylamide gel (PAG), we investigated the effect of electrode conformation (angled/parallel/multiple edges) and electrode distance of creating an electrode network. Volume, time, and temperature were analyzed quantitatively with magnetic resonance imaging, video analysis, and machine learning. A network of electrodes to the pathological left area 47 was created in a patient; the seizure outcome and coverage range were further observed. Results: After the compatibility test between the PAG and brain tissue, the sufficient distance of contacts (from different electrodes) for confluent lesioning was 7 mm with the PAG. Connection to the lesioning field could be achieved even with a different arrangement of electrodes. One contact could achieve at least six connections with different peripheral contacts. Coagulation with a network of electrodes can create more significant lesioning sizes, 1.81–2.12 times those of the classic approaches. The confluent lesioning field created by scRF-TC had a volume of 38.7 cm3; the low metabolic area was adequately covered. The representative patient was free of seizures throughout the 12-month follow up. Conclusion: Lesioning with electrodes in a network manner is practical for adequate 3D coverage. A secondary craniotomy could be potentially prevented by combining both monitoring and a large volume of lesions.
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- 2020
45. Dynamically Split the Traffic in Software Defined Network Based on Deep Reinforcement Learning
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Hu Wei, Peng Yu, Ying Wang, Ning Zhang, Yutong Ji, and Hengbin An
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Computer science ,business.industry ,Reinforcement learning ,Artificial intelligence ,Software-defined networking ,business - Published
- 2020
46. Research on Regional Integrated Energy Coordination Control Technology
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Lu Xiao, Hua Guanghui, Jing Jiangping, Hu Wei, Xu Wei, and Zheng Tao
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Service (systems architecture) ,business.industry ,Computer science ,media_common.quotation_subject ,Control (management) ,Software ,Control system ,Systems engineering ,Energy transformation ,The Internet ,business ,Function (engineering) ,Energy (signal processing) ,media_common - Abstract
Integrated energy system is an important part of energy internet and the main bearing form of social energy, and will be an important development direction of a new round of energy transformation. As the extension and expansion of power grid dispatching system, the regional integrated energy coordination control system performs lean and ubiquitous dispatching control of multi-energy flow for related energy equipments in the region. Combined with the three-layer architecture of the integrated energy system, this paper analyzes the important role of the regional integrated energy system, puts forward the system topological relationship, hardware and software structure of the regional integrated energy coordination control system, studies the system platform service, basic application and advanced application function design requirements, and developed the regional integrated energy coordination control system software, whose test verification and demonstration operation were carried out in the integrated energy demonstration area of Tongli New Energy Town, and will be further popularized and applied.
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- 2020
47. Detecting small conflicting drainages with contrast-enhanced magnetic resonance venography for surgical planning: a technical description and quantified analysis
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Xiaotong Fan, Yang An, Zi-Yue Yu, Yongzhi Shan, Peng-Hu Wei, Jie Lu, Cheng Zhao, and Guoguang Zhao
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Adult ,Male ,media_common.quotation_subject ,medicine.medical_treatment ,Venography ,Contrast Media ,Surgical planning ,Stereoelectroencephalography ,030218 nuclear medicine & medical imaging ,Veins ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Contrast (vision) ,Humans ,Craniotomy ,media_common ,Neuroradiology ,Aged ,medicine.diagnostic_test ,business.industry ,Brain ,Interventional radiology ,Phlebography ,Middle Aged ,Surgery ,Female ,Neurology (clinical) ,Nuclear medicine ,business ,030217 neurology & neurosurgery ,Magnetic Resonance Angiography ,Superior sagittal sinus - Abstract
Recent studies have shown the challenges involved in detecting small conflicting vessels (1.0–1.5 mm) on contrast-enhanced (CE) T1 images during stereoelectroencephalography (SEEG) planning. Improving the resolution of non-invasive approaches to identify these vessels is possible and important. We present a superior sagittal sinus mapping–based CE-magnetic resonance venography (CE-MRV) protocol calibrated by craniotomies. Seven patients with epileptic symptoms who received craniotomy were enrolled. CE-MRV was acquired with a bolus mapping of the superior sagittal sinus. Together with the T1 image, 3D veins and the brain surface were visualized. The resolution of the CE-MRV was quantified by measuring the diameter of superficial drainages after exposure of the brain surface during craniotomy. A total of 37 superficial drainages were exposed in the bone windows. CE-MRV visualized all these drainages. On average, one superficial drainage could be found in every 13.2 mm diameter of the bone window. The boundary resolution of the CE-MRV was 0.58–0.8 mm in vessel diameter, while drainages larger than 0.8 mm were visualized consistently. The resolution of the CE-MRV in the present study met the requirement for detection of small conflicting vessels during SEEG planning. The visualized venous landmarks could be used for visual guidance to the surgical zone. As a non-invasive approach, CE-MRV is practical to use in the clinical setting.
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- 2020
48. Electrophysiological properties and seizure networks in hypothalamic hamartoma
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Chao Lu, Xiaotong Fan, Yongzhi Shan, Peng-Hu Wei, Yang An, Yi-He Wang, Si-Qi Ou, Fabrice Bartolomei, Yan-Feng Yang, Jialin Du, Guoguang Zhao, Hua-Qiang Zhang, Liankun Ren, Yuping Wang, Mu-Yang Li, Di Wang, Philippe Kahane, Otten, Lisa, Capital University of Medical Sciences [Beijing] (CUMS), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM), Université Grenoble Alpes (UGA), and National Natural Science Foundation of China (Grant No. 81871009, 81801288, 81571271, 81771398), National Key R&D Program of China (Grant No. 2018YFC1314500, Grant No. 2016YFC0103909), the Key Project of Beijing Science and Technology Commission (Capital characteristics, Grant No. Z161100000516008) and Beijing Key Clinical Speciality Excellence Project
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0301 basic medicine ,Adult ,Male ,Adolescent ,Hamartoma ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Epileptogenesis ,Stereoelectroencephalography ,Temporal lobe ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Gyrus ,Seizures ,Gelastic seizure ,Cortex (anatomy) ,medicine ,Humans ,Ictal ,Child ,RC346-429 ,Research Articles ,Retrospective Studies ,Cerebral Cortex ,business.industry ,General Neuroscience ,[SCCO.NEUR]Cognitive science/Neuroscience ,[SCCO.NEUR] Cognitive science/Neuroscience ,Spike-and-wave ,Brain Waves ,030104 developmental biology ,medicine.anatomical_structure ,Female ,Neurology (clinical) ,Electrocorticography ,Neurology. Diseases of the nervous system ,medicine.symptom ,Nerve Net ,business ,Neuroscience ,030217 neurology & neurosurgery ,Hypothalamic Diseases ,Research Article ,RC321-571 - Abstract
International audience; ObjectiveLittle is known about the intrinsic electrophysiological properties of hypothalamic hamartoma (HH) in vivo and seizure network since only few cases using stereoelectroencephalography (SEEG) electrodes exploring both cortex and HH have been published. To elucidate these issues, we analyzed simultaneous SEEG recordings in HH and cortex systematically.MethodsWe retrospectively investigated data from 15 consecutive patients with SEEG electrodes into the HH for the treatment purpose of radiofrequency thermocoagulation treatment. Additional SEEG electrodes were placed into the cortex in 11 patients to assess extra-HH involvement. Interictal discharges within the HH and anatomo-electroclinical correlations during seizures of each patient were qualitatively and quantitatively analyzed.ResultsOverall, 77 electrodes with 719 contacts were implanted, and 33 spontaneous seizures were recorded during long-term SEEG monitoring. Interictally, distinct electrophysiological patterns, including isolated intermittent spikes/sharp waves, burst spike and wave trains, paroxysmal fast discharges, periodic discharges, and high-frequency oscillations, were identified within the HH. Notably, synchronized or independent interictal discharges in the cortex were observed. Regarding the ictal discharges, the electrical onset pattern within the HH always started with abrupt giant shifts superimposed on low-voltage fast activity across patients. The gelastic seizure network mainly involved the HH, orbitofrontal areas, and cingulate gyrus. Seizures with automatisms and impaired awareness primarily propagated to mesial temporal lobes. Moreover, independent ictal discharges arising from the mesial temporal lobe were detected in three out of nine patients.InterpretationThis study comprehensively reveals intrinsic electrophysiological patterns and epileptogenic networks in vivo, providing new insights into the mechanisms underlying cortical and subcortical epileptogenesis.
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- 2020
49. Comparative study of three minimally invasive surgical approaches for the treatment of l5/s1 lumbar intervertebral disc herniation
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Jiang Zehua, Zhu Rusen, Kan Shunli, Hu Wei, Liu Yidong, and Zhang Tengfei
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Adult ,Male ,medicine.medical_specialty ,Percutaneous ,Visual analogue scale ,medicine.medical_treatment ,Intervertebral Disc Degeneration ,Bed rest ,Young Adult ,03 medical and health sciences ,Postoperative Complications ,0302 clinical medicine ,Discectomy ,medicine ,Humans ,Minimally Invasive Surgical Procedures ,Diskectomy, Percutaneous ,Lumbar intervertebral disc ,Aged ,Retrospective Studies ,Lumbar Vertebrae ,Surgical approach ,business.industry ,Therapeutic effect ,Endoscopy ,Length of Stay ,Middle Aged ,Surgery ,Oswestry Disability Index ,Treatment Outcome ,Female ,Neurology (clinical) ,business ,Intervertebral Disc Displacement ,030217 neurology & neurosurgery - Abstract
AIM To compare the efficacy and safety of minimally endoscopic discectomy (MED), percutaneous endoscopic transforaminal discectomy (PETD) and percutaneous endoscopic interlaminar discectomy (PEID) in the treatment of L5/S1 lumbar disc herniation (LDH). MATERIAL AND METHODS From May 2012 to January 2017, 317 patients with L5/S1 LDH treated with MED, PETD or PEID were reviewed. Pre- and postoperative pain was measured using a visual analog scale (VAS; 0 ?10), and functional status was assessed using the Oswestry Disability Index (ODI; 0 ? 100%). Clinical outcomes, SF-36 scores and CK levels were compared between the 3 groups. RESULTS There were 177 females and 140 males; the ages ranged from 22 to 74 years; and the course of disease was 15 to 85 days, with an average of 42.8 days. The postoperative bed rest time and average hospital stay in the MED group were higher than in the other two groups, and the differences were statistically significant. There was no significant difference in the results evaluated by the MacNab criteria. There were no significant differences in the levels of CK between the three groups before and after surgery (p > 0.05). CONCLUSION Three minimally invasive surgeries for the treatment of L5/S1 LDH achieved satisfactory clinical outcomes; however, each procedure has its own advantages, disadvantages and indications. Surgeons need to choose the most appropriate surgery according to the individual condition of the patient to achieve the best therapeutic effect.
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- 2020
50. TRanscranial AlterNating current Stimulation FOR patients with Mild Alzheimer's Disease (TRANSFORM‐AD study): Protocol for a randomized controlled clinical trial
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Changming Wang, Yi Tang, Yueying Yu, Peng-Hu Wei, Yuchen Qiao, Beijia Xie, Guoguang Zhao, Zhongfang Zhu, Xinrui Shi, Jianping Jia, Yi Xing, Yi Shan, and Jie Lu
- Subjects
0301 basic medicine ,medicine.medical_specialty ,Stimulation ,Electroencephalography ,White matter ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Physical medicine and rehabilitation ,Medicine ,RC346-429 ,Research Articles ,Transcranial alternating current stimulation ,randomized controlled clinical trial ,transcranial alternating current stimulation ,medicine.diagnostic_test ,business.industry ,Neuropsychology ,RC952-954.6 ,Alzheimer's disease ,gamma frequency ,Clinical trial ,Psychiatry and Mental health ,030104 developmental biology ,medicine.anatomical_structure ,chemistry ,Positron emission tomography ,Geriatrics ,Neurology (clinical) ,Neurology. Diseases of the nervous system ,business ,Pittsburgh compound B ,030217 neurology & neurosurgery ,Research Article - Abstract
Introduction Recently, transcranial alternating current stimulation (tACS), which can interact with ongoing neuronal activity, has emerged as a potentially effective and promising treatment for Alzheimer's disease (AD), and the 40 Hz gamma frequency was suggested as a suitable stimulation frequency for AD. Methods The TRANSFORM‐AD study is a double‐blind, randomized‐controlled trial that will include 40 individuals with mild AD. Eligible patients need to have amyloid β (Aβ) loads examined by Pittsburgh compound B (PiB) positron emission tomography (PET) or decreased Aβ level in cerebrospinal fluid. Participants will be randomized into either a 40 Hz tACS group or a sham stimulation group. Both groups will undergo 30 one‐hour sessions across 3 weeks (21 days). The outcome measures will be assessed at baseline, at the end of the intervention, and 3 months after the first session. The primary outcome is global cognitive function, assessed by the 11‐item cognitive subscale of the Alzheimer's Disease Assessment Scale (ADAS‐Cog), and the secondary outcomes include changes in other neuropsychological assessments and in PiB‐PET, structural magnetic resonance imaging (MRI), resting electroencephalography (EEG), and simultaneous EEG–functional MRI (EEG‐fMRI) results. Results The trial is currently ongoing, and it is anticipated that recruitment will be completed in June 2021. Discussion This trial will evaluate the efficacy and safety of 40 Hz tACS in patients with AD, and further explore the potential mechanisms by analyzing amyloid deposits using PiB‐PET, brain volume and white matter integrity by structural MRI, and neural activity by EEG and EEG‐fMRI.
- Published
- 2020
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