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

119 results on '"Zhang Sheng"'

1. Keyphrase Extraction by Improving TextRank with an Integration of Word Embedding and Syntactic Information

Author: Feng Yukun, Luo Qi, Zhang Sheng, Xia Jingbo, Ma Xiaohang, Ding Ke, Gifu Daniela, and Zhang Silan
Subjects: Word embedding, General Computer Science, business.industry, Computer science, Extraction (chemistry), Artificial intelligence, business, computer.software_genre, computer, Natural language processing
Abstract: Background: As a known key phrase extraction algorithm, TextRank is an analogue of PageRank algorithm, which relied heavily on the statistics of term frequency in the manner of co-occurrence analysis. Objective: The frequency-based characteristic made it a neck-bottle for performance enhancement, and various improved TextRank algorithms were proposed in the recent years. Most of improvements incorporated semantic information into key phrase extraction algorithm and achieved improvement. Method: In this research, taking both syntactic and semantic information into consideration, we integrated syntactic tree algorithm and word embedding and put forward an algorithm of Word Embedding and Syntactic Information Algorithm (WESIA), which improved the accuracy of the TextRank algorithm. Results: By applying our method on a self-made test set and a public test set, the result implied that the proposed unsupervised key phrase extraction algorithm outperformed the other algorithms to some extent.
Published: 2021

2. A data-driven workflow for evaporation performance degradation analysis: a full-scale case study in the herbal medicine manufacturing industry

Author: Qu Haibin, Xie Xinyuan, and Zhang Sheng
Subjects: Process (engineering), business.industry, Computer science, Feature extraction, Industrial and Manufacturing Engineering, Data-driven, Exploratory data analysis, Identification (information), Workflow, Artificial Intelligence, Process engineering, business, Root cause analysis, Cluster analysis, Software
Abstract: The evaporation process is a common step in herbal medicine manufacturing and often lasts for a long time. The degradation of evaporation performance is inevitable, leading to more consumption of steam and electricity, and it may also have an impact on the content of thermosensitive components. Recently, a vast amount of evaporation process data is collected with the aid of industrial information systems, and process knowledge is hidden behind the data. But currently, these data are seldom deeply analyzed. In this work, an exploratory data analysis workflow is proposed to evaluate the evaporation performance and to identify the root causes of the performance degradation. The workflow consists of 6 steps: data collecting, preprocessing, characteristic stage identification, feature extraction, model development and interpretation, and decision making. In the model development and interpretation step, the workflow employs the HDBSCAN clustering algorithm for data annotation and then uses the ccPCA method to compare the differences between clusters for root cause analysis. A full-scale case is presented to verify the effectiveness of the workflow. The evaporation process data of 192 batches in 2018 were collected in the case. Through the steps of the workflow, the features of each batch were extracted, and the batches were clustered into 6 groups. The root causes of the performance degradation were determined as the high Pv,II and high LI by ccPCA. Recommended suggestions for future manufacturing were given according to the results. The proposed workflow can determine the root causes of the evaporation performance degradation.
Published: 2021

3. Sensing network security prevention measures of BIM smart operation and maintenance system

Author: Chengwu Ming, Mi Xiaobo, Zhang Sheng, Yu Peng, Zhang Luyu, Ming Li, Pengwei Wang, Li Zheng, Xinrong Liu, Hu Tao, and Yangjun Xiao
Subjects: Scheme (programming language), Computer Networks and Communications, Network security, business.industry, Computer science, Big data, Bayesian network, 020206 networking & telecommunications, 02 engineering and technology, Bridge (nautical), Reliability engineering, Data set, Risk perception, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, False positive rate, business, computer, computer.programming_language
Abstract: With the continuous expansion of network scale and the increasing complexity of attack methods, traditional network security protection equipment has been unable to cope with large-scale network security detection and protection. However, most current operation and maintenance systems cannot reasonably evaluate and predict network security. In order to be able to evaluate and prevent the network security of the bridge BIM intelligent operation and maintenance system under the background of big data, this paper uses the KDD Cup99 data set and the network attack data in the bridge BIM network environment to simulate the method proposed in this paper. The comparison results verify that the network security risk perception method proposed in this paper can realize network security risk perception more accurately and efficiently. This paper proposes a data mining method based on Bayesian network algorithm to evaluate the risk value of the bridge BIM intelligent operation and maintenance system. During the period from 0 to 110 min, the network risk value increased from 0.003 to 0.91. It can be seen that with the deepening of the attack phase, the degree of network risk will also increase. This paper uses the detection rate, false negative rate, false positive rate, AUC and other indicators to conduct simulation experiments on the data prediction-based network security risk prediction algorithm and comparison algorithm proposed in this paper. Simulation experiments show that under the four simulation experiment environments (pl = pe = 0.01/0.15, n = 20/50), the AUC of this scheme is increased by 0.018, 0.053, 0.008 and 0.11, respectively. The proposed algorithms are better than the comparison algorithms.
Published: 2020

4. Pilot Study of a Virtual Reality Educational Intervention for Radiotherapy Patients Prior to Initiating Treatment

Author: Qiang Zhang, Zhiwen Liang, Ye Wang, Mengya Hu, Shenglin Liu, Qingmin Feng, Zhang Sheng, and Jiaqi Gao
Subjects: medicine.medical_specialty, Visual analogue scale, Pilot Projects, Anxiety, 03 medical and health sciences, Nursing care, 0302 clinical medicine, Surveys and Questionnaires, Intervention (counseling), Heart rate, Humans, Medicine, 030212 general & internal medicine, Pain Measurement, business.industry, Virtual Reality, Public Health, Environmental and Occupational Health, Comprehension, Blood pressure, Oncology, 030220 oncology & carcinogenesis, Physical therapy, medicine.symptom, business, Patient education
Abstract: Virtual reality (VR) presents opportunities for innovative patient educational methods. This study used a combination of subjective questionnaires and objective physiological measures to investigate the impact of a VR radiotherapy (RT) educational system on patients’ understanding and anxiety prior to commencing RT. Sixty patients were randomized to control (n = 30) and intervention (n = 30) groups prior to initiating RT. The control group received the standard nursing care process. The intervention group additionally participated in a detailed introduction to RT positioning, procedures, treatments, and other RT-related information via VR education. All patients completed a data collection from pre- and postintervention, which included questions on RT comprehension, anxiety-related scales, and objective physiological data reflecting the patient’s psychological state, such as blood pressure, heart rate, and respiration. Both groups had high anxiety levels before the intervention, and there was no significant difference between the questionnaire and physiological data of the two groups. Following the intervention, anxiety scores (state-trait anxiety scale and visual analog scale) of the intervention group decreased significantly compared with those of the control group, and there was a significant decrease in systolic blood pressure (p
Published: 2020

5. Electromagnetic Shielding Box Design of Radial X-Ray Camera Electronics

Author: Xueyou Hu, Lu Jun, Zhang Sheng, Gao Xianhe, and Shi Chaoyi
Subjects: Physics, Nuclear and High Energy Physics, Tokamak, Electromagnetic environment, business.industry, Mechanical engineering, Plasma, 01 natural sciences, 010305 fluids & plasmas, law.invention, Magnetic field, Software, Nuclear Energy and Engineering, Interference (communication), law, 0103 physical sciences, Electromagnetic shielding, Electronics, 010306 general physics, business
Abstract: In order to ensure the electronics of radial X-ray camera (RXC) system can work normally under the complicated electromagnetic environment of Tokamak system, simulation and analysis of the static magnetic distribution is done in this paper. The electromagnetic shielding box is designed and shielding effort was validated through simulation with software Maxwell. The shielding box designed can reduce the static magnetic flux density from 230 mT to less than 5 mT, meeting the requirements of anti-electromagnetic interference ability of electronics.
Published: 2020

6. Simulation investigation on performance of a power–water cogeneration system coupled with a two-stage thermal vapor compressor

Author: Fareeha Ahmed, Daotong Chong, Fan Jiang, Junjie Yan, Zhang Sheng, and Weixiong Chen
Subjects: Fluid Flow and Transfer Processes, Power–water cogeneration, Thermal vapor compressor, Power station, business.industry, Thermal performance, Thermal power station, Engineering (General). Civil engineering (General), law.invention, Power (physics), Cogeneration, law, Thermal, Environmental science, Coal, TA1-2040, Process engineering, business, Engineering (miscellaneous), Gas compressor, Distillation
Abstract: The shortage of freshwater resources is becoming increasingly serious. A thermal power plant coupled with a low-temperature multi-effect distillation seawater desalination (single-stage thermal vapor compressor (TVC)) has been widely used. To reduce the water production cost effectively, a two-stage TVC is proposed in this study. The simulation work for the system performance under single- and two-stage TVC is analyzed. Results show that the performance of the system coupled with the two-stage TVC is superior under most conditions, and an optimal intermediate pressure (16 kPa) of the two-stage TVC is found for minimum coal consumption. When the power plant load is higher than 70% THA, the cogeneration system performs well, and the motive steam of the two-stage TVC comes from extraction point No. 5. Otherwise, the motive steam that comes from extraction point No. 4 is a suitable choice. The maximum coal consumption reduction value is 1.48 t/h. To deal with the low operation load of power plants in China, 60% THA load of power plant is a suitable choice for two-stage TVC of power-water cogeneration system.
Published: 2021

7. Mega-analysis of gray matter volume in substance dependence: General and substance-specific regional effects

Author: Mackey, Scott, Allgaier, Nicholas, Chaarani, Bader, Spechler, Philip, Orr, Catherine, Bunn, Janice, Allen, Nicholas B, Alia-Klein, Nelly, Batalla, Albert, Blaine, Sara, Brooks, Samantha, Caparelli, Elisabeth, Chye, Yann Ying, Cousijn, Janna, Dagher, Alain, Desrivieres, Sylvane, Feldstein-Ewing, Sarah, Foxe, John J, Goldstein, Rita Z, Goudriaan, Anna E, Heitzeg, Mary M, Hester, Robert, Hutchison, Kent, Korucuoglu, Ozlem, Li, Chiang-Shan R, London, Edythe, Lorenzetti, Valentina, Luijten, Maartje, Martin-Santos, Rocio, May, April, Momenan, Reza, Morales, Angelica, Paulus, Martin P, Pearlson, Godfrey, Rousseau, Marc-Etienne, Salmeron, Betty Jo, Schluter, Renée, Schmaal, Lianne, Schumann, Gunter, Sjoerds, Zsuzsika, Stein, Dan J, Stein, Elliot A, Sinha, Rajita, Solowij, Nadia, Tapert, Susan, Uhlmann, Anne, Veltman, Dick, van Holst, Ruth, Whittle, Sarah, Wright, Margaret J, Yücel, Murat, Zhang, Sheng, Yurgelun-Todd, Deborah, Hibar, Derrek P, Jahanshad, Neda, Evans, Alan, Thompson, Paul M, Glahn, David C, Conrod, Patricia, Garavan, Hugh, ENIGMA Addiction Working Group, Anatomy and neurosciences, Psychiatry, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, the ENIGMA Addiction Working Group, Radiology & Nuclear Medicine, Ontwikkelingspsychologie (Psychologie, FMG), APH - Mental Health, Adult Psychiatry, Graduate School, and APH - Digital Health
Subjects: Male, Marijuana Abuse, Support Vector Machine, Neural substrate, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], Physiology, Mega-Analysis, Alcohol use disorder, Medical and Health Sciences, Methamphetamine, Nicotine, Alcohol Use and Health, Substance Misuse, 0302 clinical medicine, Gray Matter, media_common, Cerebral Cortex, Psychiatry, Substance dependence, Brain, Tobacco Use Disorder, Organ Size, Middle Aged, Psychiatry and Mental health, Alcoholism, Brain size, ENIGMA Addiction Working Group, Female, Mental health, medicine.drug, Adult, Substance-Related Disorders, media_common.quotation_subject, Amphetamine-Related Disorders, 03 medical and health sciences, Cocaine-Related Disorders, Young Adult, All institutes and research themes of the Radboud University Medical Center, SDG 3 - Good Health and Well-being, medicine, Humans, business.industry, Addiction, Alcohol dependence, Psychology and Cognitive Sciences, Neurosciences, medicine.disease, 030227 psychiatry, Brain Disorders, Structural MRI, Good Health and Well Being, Orbitofrontal cortex, business, Drug Abuse (NIDA only), 170 000 Motivational & Cognitive Control, Developmental Psychopathology, 030217 neurology & neurosurgery
Abstract: Contains fulltext : 200963.pdf (Publisher’s version ) (Closed access) Objective: Although lower brain volume has been routinely observed in individuals with substance dependence compared with nondependent control subjects, the brain regions exhibiting lower volume have not been consistent across studies. In addition, it is not clear whether a common set of regions are involved in substance dependence regardless of the substance used or whether some brain volume effects are substance specific. Resolution of these issues may contribute to the identification of clinically relevant imaging biomarkers. Using pooled data from 14 countries, the authors sought to identify general and substance-specific associations between dependence and regional brain volumes. Method: Brain structure was examined in a mega-analysis of previously published data pooled from 23 laboratories, including 3,240 individuals, 2,140 of whom had substance dependence on one of five substances: alcohol, nicotine, cocaine, methamphetamine, or cannabis. Subcortical volume and cortical thickness in regions defined by FreeSurfer were compared with nondependent control subjects when all sampled substance categories were combined, as well as separately, while controlling for age, sex, imaging site, and total intracranial volume. Because of extensive associations with alcohol dependence, a secondary contrast was also performed for dependence on all substances except alcohol. An optimized split-half strategy was used to assess the reliability of the findings. Results: Lower volume or thickness was observed in many brain regions in individuals with substance dependence. The greatest effects were associated with alcohol use disorder. A set of affected regions related to dependence in general, regardless of the substance, included the insula and the medial orbitofrontal cortex. Furthermore, a support vector machine multivariate classification of regional brain volumes successfully classified individuals with substance dependence on alcohol or nicotine relative to nondependent control subjects. Conclusions: The results indicate that dependence on a range of different substances shares a common neural substrate and that differential patterns of regional volume could serve as useful biomarkers of dependence on alcohol and nicotine. 10 p.
Published: 2019

8. A SHOX2 loss-of-function mutation underlying familial atrial fibrillation

Author: Yi-Qing Yang, Xin-Hua Wang, Ying-Jia Xu, Xing-Biao Qiu, Ruo-Gu Li, Ruo-Min Di, Xiu-Mei Li, Ning Li, Zhang-Sheng Wang, Min Zhang, Qi Qiao, and Xiao-Juan Guo
Subjects: 0301 basic medicine, Proband, Male, medicine.medical_specialty, Genetic counseling, Nonsense mutation, 03 medical and health sciences, Molecular genetics, medicine, Humans, Genetics, Homeodomain Proteins, business.industry, Genetic heterogeneity, General Medicine, SHOX2, Middle Aged, medicine.disease, Penetrance, Atrial fibrillation, Pedigree, Reporter gene assay, 030104 developmental biology, HEK293 Cells, Codon, Nonsense, Mutation (genetic algorithm), Mutation, Female, Transcription factor, business, Familial atrial fibrillation, Research Paper, Transcription Factors
Abstract: Atrial fibrillation (AF), as the most common sustained cardiac arrhythmia, is associated with substantially increased morbidity and mortality. Aggregating evidence demonstrates that genetic defects play a crucial role in the pathogenesis of AF, especially in familial AF. Nevertheless, AF is of pronounced genetic heterogeneity, and in an overwhelming majority of cases the genetic determinants underlying AF remain elusive. In the current study, 162 unrelated patients with familial AF and 238 unrelated healthy individuals served as controls were recruited. The coding exons and splicing junction sites of the SHOX2 gene, which encodes a homeobox-containing transcription factor essential for proper development and function of the cardiac conduction system, were sequenced in all study participants. The functional effect of the mutant SHOX2 protein was characterized with a dual-luciferase reporter assay system. As a result, a novel heterozygous SHOX2 mutation, c.580C>T or p.R194X, was identified in an index patient, which was absent from the 476 control chromosomes. Genetic analysis of the proband's pedigree revealed that the nonsense mutation co-segregated with AF in the family with complete penetrance. Functional assays demonstrated that the mutant SHOX2 protein had no transcriptional activity compared with its wild-type counterpart. In conclusion, this is the first report on the association of SHOX2 loss-of-function mutation with enhanced susceptibility to familial AF, which provides novel insight into the molecular mechanism underpinning AF, suggesting potential implications for genetic counseling and individualized management of AF patients.
Published: 2018

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

Author: Klionsky, Daniel, Abdel-Aziz, Amal Kamal, Abdelfatah, Sara, Abdellatif, Mahmoud, Abdoli, Asghar, Abel, Steffen, Abeliovich, Hagai, Abildgaard, Marie, Abudu, Yakubu Princely, Acevedo-Arozena, Abraham, Adamopoulos, Iannis, Adeli, Khosrow, Adolph, Timon, Adornetto, Annagrazia, Aflaki, Elma, Agam, Galila, Agarwal, Anupam, Aggarwal, Bharat, Agnello, Maria, Agostinis, Patrizia, Agrewala, Javed, Agrotis, Alexander, Aguilar, Patricia, Ahmad, S Tariq, Ahmed, Zubair, Ahumada-Castro, Ulises, Aits, Sonja, Aizawa, Shu, Akkoc, Yunus, Akoumianaki, Tonia, Akpinar, Hafize Aysin, Al-Abd, Ahmed, Al-Akra, Lina, Al-Gharaibeh, Abeer, Alaoui-Jamali, Moulay, Alberti, Simon, Alcocer-Gómez, Elísabet, Alessandri, Cristiano, Ali, Muhammad, Alim Al-Bari, M Abdul, Aliwaini, Saeb, Alizadeh, Javad, Almacellas, Eugènia, Almasan, Alexandru, Alonso, Alicia, Alonso, Guillermo, Altan-Bonnet, Nihal, Altieri, Dario, Álvarez, Élida, Alves, Sara, Alves Da Costa, Cristine, Alzaharna, Mazen, Amadio, Marialaura, Amantini, Consuelo, Amaral, Cristina, Ambrosio, Susanna, Amer, Amal, Ammanathan, Veena, An, Zhenyi, Andersen, Stig, Andrabi, Shaida, Andrade-Silva, Magaiver, Andres, Allen, Angelini, Sabrina, Ann, David, Anozie, Uche, Ansari, Mohammad, Antas, Pedro, Antebi, Adam, Antón, Zuriñe, Anwar, Tahira, Apetoh, Lionel, Apostolova, Nadezda, Araki, Toshiyuki, Araki, Yasuhiro, Arasaki, Kohei, Araújo, Wagner, Araya, Jun, Arden, Catherine, Arévalo, Maria-Angeles, Arguelles, Sandro, Arias, Esperanza, Arikkath, Jyothi, Arimoto, Hirokazu, Ariosa, Aileen, Armstrong-James, Darius, Arnauné-Pelloquin, Laetitia, Aroca, Angeles, Arroyo, Daniela, Arsov, Ivica, Artero, Rubén, Asaro, Dalia Maria Lucia, Aschner, Michael, Ashrafizadeh, Milad, Ashur-Fabian, Osnat, Atanasov, Atanas, Au, Alicia, Auberger, Patrick, Auner, Holger, Aurelian, Laure, Autelli, Riccardo, Avagliano, Laura, Ávalos, Yenniffer, Aveic, Sanja, Aveleira, Célia Alexandra, Avin-Wittenberg, Tamar, Aydin, Yucel, Ayton, Scott, Ayyadevara, Srinivas, Azzopardi, Maria, Baba, Misuzu, Backer, Jonathan, Backues, Steven, Bae, Dong-Hun, Bae, Ok-Nam, Bae, Soo Han, Baehrecke, Eric, Baek, Ahruem, Baek, Seung-Hoon, Baek, Sung Hee, Bagetta, Giacinto, Bagniewska-Zadworna, Agnieszka, Bai, Hua, Bai, Jie, Bai, Xiyuan, Bai, Yidong, Bairagi, Nandadulal, Baksi, Shounak, Balbi, Teresa, Baldari, Cosima, Balduini, Walter, Ballabio, Andrea, Ballester, Maria, Balazadeh, Salma, Balzan, Rena, Bandopadhyay, Rina, Banerjee, Sreeparna, Banerjee, Sulagna, Bánréti, Ágnes, Bao, Yan, Baptista, Mauricio, Baracca, Alessandra, Barbati, Cristiana, Bargiela, Ariadna, Barilà, Daniela, Barlow, Peter, Barmada, Sami, Barreiro, Esther, Barreto, George, Bartek, Jiri, Bartel, Bonnie, Bartolome, Alberto, Barve, Gaurav, Basagoudanavar, Suresh, Bassham, Diane, Bast, Robert, Basu, Alakananda, Batoko, Henri, Batten, Isabella, Baulieu, Etienne, Baumgarner, Bradley, Bayry, Jagadeesh, Beale, Rupert, Beau, Isabelle, Beaumatin, Florian, Bechara, Luiz, Beck, George, Beers, Michael, Begun, Jakob, Behrends, Christian, Behrens, Georg, Bei, Roberto, Bejarano, Eloy, Bel, Shai, Behl, Christian, Belaid, Amine, Belgareh-Touzé, Naïma, Bellarosa, Cristina, Belleudi, Francesca, Belló Pérez, Melissa, Bello-Morales, Raquel, Beltran, Jackeline Soares de Oliveira, Beltran, Sebastián, Benbrook, Doris Mangiaracina, Bendorius, Mykolas, Benitez, Bruno, Benito-Cuesta, Irene, Bensalem, Julien, Berchtold, Martin, Berezowska, Sabina, Bergamaschi, Daniele, Bergami, Matteo, Bergmann, Andreas, Berliocchi, Laura, Berlioz-Torrent, Clarisse, Bernard, Amélie, Berthoux, Lionel, Besirli, Cagri, Besteiro, Sebastien, Betin, Virginie, Beyaert, Rudi, Bezbradica, Jelena, Bhaskar, Kiran, Bhatia-Kissova, Ingrid, Bhattacharya, Resham, Bhattacharya, Sujoy, Bhattacharyya, Shalmoli, Bhuiyan, Md Shenuarin, Bhutia, Sujit Kumar, Bi, Lanrong, Bi, Xiaolin, Biden, Trevor, Bijian, Krikor, Billes, Viktor, Binart, Nadine, Bincoletto, Claudia, Birgisdottir, Asa, Bjorkoy, Geir, Blanco, Gonzalo, Blas-Garcia, Ana, Blasiak, Janusz, Blomgran, Robert, Blomgren, Klas, Blum, Janice, Boada-Romero, Emilio, Boban, Mirta, Boesze-Battaglia, Kathleen, Boeuf, Philippe, Boland, Barry, Bomont, Pascale, Bonaldo, Paolo, Bonam, Srinivasa Reddy, Bonfili, Laura, Bonifacino, Juan, Boone, Brian, Bootman, Martin, Bordi, Matteo, Borner, Christoph, Bornhauser, Beat, Borthakur, Gautam, Bosch, Jürgen, Bose, Santanu, botana, luis, Botas, Juan, Boulanger, Chantal, Boulton, Michael, Bourdenx, Mathieu, Bourgeois, Benjamin, Bourke, Nollaig, Bousquet, Guilhem, Boya, Patricia, Bozhkov, Peter, Bozi, Luiz, Bozkurt, Tolga, Brackney, Doug, Brandts, Christian, Braun, Ralf, Braus, Gerhard, Bravo-Sagua, Roberto, Bravo-San Pedro, José, Brest, Patrick, Bringer, Marie-Agnès, Briones-Herrera, Alfredo, Broaddus, V Courtney, Brodersen, Peter, Brodsky, Jeffrey, Brody, Steven, Bronson, Paola, Bronstein, Jeff, Brown, Carolyn, Brown, Rhoderick, Brum, Patricia, Brumell, John, Brunetti-Pierri, Nicola, Bruno, Daniele, Bryson-Richardson, Robert, Bucci, Cecilia, Buchrieser, Carmen, Bueno, Marta, Buitrago-Molina, Laura Elisa, Buraschi, Simone, Buch, Shilpa, Buchan, J Ross, Buckingham, Erin, Budak, Hikmet, Budini, Mauricio, Bultynck, Geert, Burada, Florin, Burgoyne, Joseph, Burón, M Isabel, Bustos, Victor, Büttner, Sabrina, Butturini, Elena, Byrd, Aaron, Cabas, Isabel, Cabrera-Benitez, Sandra, Cadwell, Ken, Cai, Jingjing, Cai, Lu, Cai, Qian, Cairó, Montserrat, Calbet, Jose, Caldwell, Guy, Caldwell, Kim, Call, Jarrod, Calvani, Riccardo, Calvo, Ana, Calvo-Rubio Barrera, Miguel, Camara, Niels OS, Camonis, Jacques, Camougrand, Nadine, Campanella, Michelangelo, Campbell, Edward, Campbell-Valois, François-Xavier, Campello, Silvia, Campesi, Ilaria, Campos, Juliane, Camuzard, Olivier, Cancino, Jorge, Candido de Almeida, Danilo, Canesi, Laura, Caniggia, Isabella, Canonico, Barbara, Cantí, Carles, Cao, Bin, Caraglia, Michele, Caramés, Beatriz, Carchman, Evie, Cardenal-Muñoz, Elena, Cardenas, Cesar, Cardenas, Luis, Cardoso, Sandra, Carew, 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, Sachith, Galluzzi, Lorenzo, Galy, Vincent, Gammoh, Noor, Gan, Boyi, Ganley, Ian, Gao, Feng, Gao, Hui, Gao, Minghui, Gao, Ping, Gao, Shou-Jiang, Gao, Wentao, Gao, Xiaobo, Garcera, Ana, Garcia, Maria Noé, Garcia, Verónica, García-del Portillo, Francisco, Garcia-Escudero, Vega, Garcia-Garcia, Aracely, Garcia-Macia, Marina, García-Moreno, Diana, Garcia-Ruiz, Carmen, García-Sanz, Patricia, Garg, Abhishek, Gargini, Ricardo, Garofalo, Tina, Garry, Robert, Gassen, Nils, Gatica, Damian, Ge, Liang, Ge, Wanzhong, Geiss-Friedlander, Ruth, Gelfi, Cecilia, Genschik, Pascal, Gentle, Ian, Gerbino, Valeria, Gerhardt, Christoph, Germain, Kyla, Germain, Marc, Gewirtz, David, Ghasemipour Afshar, Elham, Ghavami, Saeid, Ghigo, Alessandra, Ghosh, Manosij, Giamas, Georgios, Giampietri, Claudia, Giatromanolaki, Alexandra, Gibson, Gary, Gibson, Spencer, Ginet, Vanessa, Giniger, Edward, Giorgi, Carlotta, Girao, Henrique, Girardin, Stephen, Giridharan, Mridhula, Giuliano, Sandy, Giulivi, Cecilia, Giuriato, 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, Hughes, William, Humbert, Magali, Hummer, Gerhard, Hurley, James, Hussain, Sabah, Hussain, Salik, Hussey, Patrick, Hutabarat, Martina, Hwang, Hui-Yun, Hwang, Seungmin, Ieni, Antonio, Ikeda, Fumiyo, Imagawa, Yusuke, Imai, Yuzuru, Imbriano, Carol, Imoto, Masaya, Inman, Denise, Inoki, Ken, Iovanna, Juan, Iozzo, Renato, Ippolito, Giuseppe, Irazoqui, Javier, Iribarren, Pablo, Ishaq, Mohd, ISHIKAWA, Makoto, Ishimwe, Nestor, Isidoro, Ciro, Ismail, Nahed, Issazadeh-Navikas, Shohreh, Itakura, Eisuke, Ito, Daisuke, Ivankovic, Davor, Ivanova, Saška, Iyer, Anand Krishnan V, Izquierdo, José, Izumi, Masanori, Jäättelä, Marja, Jabir, Majid Sakhi, Jackson, William, Jacobo-Herrera, Nadia, Jacomin, Anne-Claire, Jacquin, Elise, Jadiya, Pooja, Jaeschke, Hartmut, Jagannath, Chinnaswamy, Jakobi, Arjen, Jakobsson, Johan, Janji, Bassam, Jansen-Dürr, Pidder, Jansson, Patric, Jantsch, Jonathan, Januszewski, Sławomir, Jassey, Alagie, Jean, Steve, Jeltsch-David, Hélène, Jendelova, Pavla, Jenny, Andreas, Jensen, Thomas, Jessen, Niels, Jewell, Jenna, Ji, Jing, Jia, Lijun, Jia, Rui, Jiang, Liwen, Jiang, Qing, Jiang, Richeng, Jiang, Teng, Jiang, Xuejun, Jiang, Yu, Jimenez-Sanchez, Maria, Jin, Eun-Jung, Jin, Fengyan, Jin, Hongchuan, Jin, Li, Jin, Luqi, Jin, Meiyan, Jin, Si, Jo, Eun-Kyeong, Joffre, Carine, Johansen, Terje, Johnson, Gail, Johnston, Simon, Jokitalo, Eija, Jolly, Mohit Kumar, Joosten, Leo, Jordan, Joaquin, Joseph, Bertrand, Ju, Dianwen, Ju, Jeong-Sun, Ju, Jingfang, Juárez, Esmeralda, Judith, Delphine, Juhász, Gábor, Jun, Youngsoo, Jung, Chang Hwa, Jung, Sung-Chul, Jung, Yong Keun, Jungbluth, Heinz, Jungverdorben, Johannes, Just, Steffen, Kaarniranta, Kai, Kaasik, Allen, Kabuta, Tomohiro, Kaganovich, Daniel, Kahana, Alon, Kain, Renate, Kajimura, Shinjo, Kalamvoki, Maria, Kalia, Manjula, Kalinowski, Danuta, Kaludercic, Nina, Kalvari, Ioanna, Kaminska, Joanna, Kaminskyy, Vitaliy, Kanamori, Hiromitsu, Kanasaki, Keizo, Kang, Chanhee, Kang, Rui, Kang, Sang Sun, Kaniyappan, Senthilvelrajan, 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Adi, Kimmelman, Alec, Kimura, Tomonori, King, Matthew, Kinghorn, Kerri, Kinsey, Conan, Kirkin, Vladimir, Kirshenbaum, Lorrie, Kiselev, Sergey, Kishi, Shuji, Kitamoto, Katsuhiko, Kitaoka, Yasushi, Kitazato, Kaio, Kitsis, Richard, Kittler, Josef, Kjaerulff, Ole, Klein, Peter, Klopstock, Thomas, Klucken, Jochen, Knævelsrud, Helene, Knorr, Roland, Ko, Ben, Ko, Fred, Ko, Jiunn-Liang, Kobayashi, Hotaka, Kobayashi, Satoru, Koch, Ina, Koch, Jan, Koenig, Ulrich, Kögel, Donat, Koh, Young Ho, Koike, Masato, Kohlwein, Sepp, Kocaturk, Nur, Komatsu, Masaaki, König, Jeannette, Kono, Toru, Kopp, Benjamin, Korcsmaros, Tamas, Korkmaz, Gözde, Korolchuk, Viktor, Korsnes, Mónica Suárez, Koskela, Ali, Kota, Janaiah, Kotake, Yaichiro, Kotler, Monica, Kou, Yanjun, Koukourakis, Michael, Koustas, Evangelos, Kovacs, Attila, Kovács, Tibor, Koya, Daisuke, Kozako, Tomohiro, Kraft, Claudine, Krainc, Dimitri, Krämer, Helmut, Krasnodembskaya, Anna, Kretz-Remy, Carole, Kroemer, Guido, Ktistakis, Nicholas, Kuchitsu, Kazuyuki, Kuenen, Sabine, Kuerschner, Lars, Kukar, Thomas, Kumar, Ajay, Kumar, Ashok, Kumar, Deepak, Kumar, Dhiraj, Kumar, Sharad, Kume, Shinji, Kumsta, Caroline, Kundu, Chanakya, Kundu, Mondira, Kunnumakkara, Ajaikumar, Kurgan, Lukasz, Kutateladze, Tatiana, Kutlu, Ozlem, Kwak, SeongAe, Kwon, Ho Jeong, Kwon, Taeg Kyu, Kwon, Yong Tae, Kyrmizi, Irene, La Spada, Albert, Labonté, Patrick, Ladoire, Sylvain, Laface, Ilaria, Lafont, Frank, Lagace, Diane, Lahiri, Vikramjit, Lai, Zhibing, Laird, Angela, Lakkaraju, Aparna, Lamark, Trond, Lan, Sheng-Hui, Landajuela, Ane, Lane, Darius, Lane, Jon, Lang, Charles, Lange, Carsten, Langel, Ülo, Langer, Rupert, Lapaquette, Pierre, Laporte, Jocelyn, LaRusso, Nicholas, Lastres-Becker, Isabel, Lau, Wilson Chun Yu, Laurie, Gordon, Lavandero, Sergio, Law, Betty Yuen Kwan, Law, Helen Ka-wai, Layfield, Rob, Le, Weidong, Le Stunff, Herve, Leary, Alexandre, Lebrun, Jean-Jacques, Leck, Lionel, Leduc-Gaudet, Jean-Philippe, Lee, Changwook, Lee, Chung-Pei, Lee, Da-Hye, Lee, Edward, Lee, Erinna, Lee, Gyun Min, Lee, He-Jin, Lee, Heung Kyu, Lee, Jae Man, Lee, Jason, Lee, Jin-A, Lee, Joo-Yong, Lee, Jun Hee, Lee, Michael, Lee, Min Goo, Lee, Min Jae, Lee, Myung-Shik, Lee, Sang Yoon, Lee, Seung-Jae, Lee, Stella, Lee, Sung Bae, Lee, Won Hee, Lee, Ying-Ray, Lee, Yong-ho, Lee, Youngil, Lefebvre, Christophe, Legouis, Renaud, Lei, Yu, Lei, Yuchen, Leikin, Sergey, Leitinger, Gerd, Lemus, Leticia, Leng, Shuilong, Lenoir, Olivia, Lenz, Guido, Lenz, Heinz Josef, Lenzi, Paola, León, Yolanda, Leopoldino, Andréia, Leschczyk, Christoph, Leskelä, Stina, Letellier, Elisabeth, Leung, Chi-Ting, Leung, Po Sing, Leventhal, Jeremy, Levine, Beth, Lewis, Patrick, Ley, Klaus, Li, Bin, Li, Da-Qiang, Li, Jianming, Li, Jing, Li, Jiong, Li, Ke, Li, Liwu, Li, Mei, Li, Min, Li, Ming, Li, Mingchuan, Li, Pin-Lan, Li, Ming-Qing, Li, Qing, Li, Sheng, Li, Tiangang, Li, Wei, Li, Wenming, Li, Xue, Li, Yi-Ping, Li, Yuan, Li, Zhiqiang, Li, Zhiyong, Li, Zhiyuan, Lian, Jiqin, Liang, Chengyu, Liang, Qiangrong, Liang, Weicheng, Liang, Yongheng, Liang, YongTian, Liao, Guanghong, Liao, Lujian, Liao, Mingzhi, Liao, Yung-Feng, Librizzi, Mariangela, Lie, Pearl, Lilly, Mary, Lim, Hyunjung, Lima, Thania, Limana, Federica, Lin, Chao, Lin, Chih-Wen, Lin, Dar-Shong, Lin, Fu-Cheng, Lin, Jiandie, Lin, Kurt, Lin, Kwang-Huei, Lin, Liang-Tzung, LIN, Pei-Hui, Lin, Qiong, Lin, Shaofeng, Lin, Su-Ju, Lin, Wenyu, Lin, Xueying, Lin, Yao-Xin, Lin, Yee-Shin, Linden, Rafael, Lindner, Paula, Ling, Shuo-Chien, Lingor, Paul, Linnemann, Amelia, Liou, Yih-Cherng, Lipinski, Marta, Lipovšek, Saška, Lira, Vitor, Lisiak, Natalia, Liton, Paloma, Liu, Chao, Liu, Ching-Hsuan, Liu, Chun-Feng, Liu, Cui Hua, Liu, Fang, Liu, Hao, Liu, Hsiao-Sheng, Liu, Hua-feng, Liu, Huifang, Liu, Jia, Liu, Jing, Liu, Julia, Liu, Leyuan, Liu, Longhua, Liu, Meilian, Liu, Qin, Liu, Wei, Liu, Wende, Liu, Xiao-Hong, Liu, Xiaodong, Liu, Xingguo, Liu, Xu, Liu, Xuedong, Liu, Yanfen, Liu, Yang, Liu, Yueyang, Liu, Yule, 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Alexandre, Victor, Victor, Vidal, Michel, Vidoni, Chiara, Vieira, Otilia, Vierstra, Richard, Viganó, Sonia, Vihinen, Helena, Vijayan, Vinoy, Vila, Miquel, Vilar, Marçal, Villalba, José, Villalobo, Antonio, Villarejo-Zori, Beatriz, Villarroya, Francesc, Villarroya, Joan, Vincent, Olivier, Vindis, Cecile, Viret, Christophe, Viscomi, Maria Teresa, Visnjic, Dora, Vitale, Ilio, Vocadlo, David, Voitsekhovskaja, Olga, Volonté, Cinzia, Volta, Mattia, Vomero, Marta, Von Haefen, Clarissa, Vooijs, Marc, Voos, Wolfgang, Vucicevic, Ljubica, Wade-Martins, Richard, Waguri, Satoshi, Waite, Kenrick, Wakatsuki, Shuji, Walker, David, Walker, Mark, Walker, Simon, Walter, Jochen, Wandosell, Francisco, Wang, Bo, Wang, Chao-Yung, Wang, Chen, Wang, Chenran, Wang, Chenwei, Wang, Cun-Yu, Wang, Dong, Wang, Fangyang, Wang, Feng, Wang, Fengming, Wang, Guansong, Wang, Han, Wang, Hao, Wang, Hexiang, Wang, Hong-Gang, Wang, Jianrong, Wang, Jigang, Wang, Jiou, Wang, Jundong, Wang, Kui, Wang, Lianrong, Wang, Liming, Wang, Maggie Haitian, Wang, Meiqing, Wang, Nanbu, Wang, PengWei, Wang, PeiPei, Wang, Ping, Wang, Qing Jun, Wang, Qing, Wang, Qing Kenneth, Wang, Qiong, Wang, Wen-Tao, Wang, Wuyang, Wang, Xinnan, Wang, Xuejun, Wang, Yan, Wang, Yanchang, Wang, Yanzhuang, Wang, Yen-Yun, Wang, Yihua, Wang, Yipeng, Wang, Yu, wang, yuqi, Wang, Zhe, Wang, Zhenyu, Wang, Zhouguang, Warnes, Gary, Warnsmann, Verena, Watada, Hirotaka, Watanabe, Eizo, Watchon, Maxinne, Wawrzyńska, Anna, Weaver, Timothy, Wegrzyn, Grzegorz, Wehman, Ann, Wei, Huafeng, Wei, Lei, Wei, Taotao, Wei, Yongjie, Weiergräber, Oliver, Weihl, Conrad, Weindl, Günther, Weiskirchen, Ralf, Wells, Alan, Wen, Runxia, Wen, Xin, Werner, Antonia, Weykopf, Beatrice, Wheatley, Sally, Whitton, J Lindsay, Whitworth, Alexander, Wiktorska, Katarzyna, Wildenberg, Manon, Wileman, Tom, Wilkinson, Simon, Willbold, Dieter, Williams, Brett, Williams, Robin, Williams, Roger, Williamson, Peter, Wilson, Richard, Winner, Beate, Winsor, Nathaniel, Witkin, Steven, Wodrich, Harald, Woehlbier, Ute, Wollert, Thomas, Wong, Esther, Wong, Jack Ho, Wong, Richard, Wong, Vincent Kam Wai, Wong, W Wei-Lynn, Wu, An-Guo, Wu, Chengbiao, Wu, Jian, Wu, Junfang, Wu, Kenneth, Wu, Min, Wu, Shan-Ying, Wu, Shengzhou, Wu, Shu-Yan, Wu, Shufang, Wu, William, Wu, Xiaohong, Wu, Xiaoqing, Wu, Yao-Wen, Wu, Yihua, Xavier, Ramnik, Xia, Hongguang, Xia, Lixin, Xia, Zhengyuan, Xiang, Ge, Xiang, Jin, Xiang, Mingliang, Xiang, Wei, Xiao, Bin, Xiao, Guozhi, Xiao, Hengyi, Xiao, Hong-tao, Xiao, Jian, Xiao, Lan, Xiao, Shi, Xiao, Yin, Xie, Baoming, Xie, Chuan-Ming, Xie, Min, Xie, Yuxiang, Xie, Zhiping, Xie, Zhonglin, Xilouri, Maria, Xu, Congfeng, Xu, En, Xu, Haoxing, Xu, Jing, Xu, Jinrong, Xu, Liang, Xu, Wen Wen, Xu, Xiulong, Xue, Yu, Yakhine-Diop, Sokhna, Yamaguchi, Masamitsu, Yamaguchi, Osamu, Yamamoto, Ai, Yamashina, Shunhei, Yan, Shengmin, Yan, Shian-Jang, Yan, Zhen, Yanagi, Yasuo, Yang, Chuanbin, Yang, Dun-Sheng, Yang, Huan, Yang, Huang-Tian, Yang, Hui, Yang, Jin-Ming, Yang, Jing, Yang, Jingyu, Yang, Ling, Yang, Liu, Yang, Ming, Yang, Pei-Ming, Yang, Qian, Yang, Seungwon, Yang, Shu, Yang, Shun-Fa, Yang, Wannian, Yang, Wei Yuan, Yang, Xiaoyong, Yang, Xuesong, Yang, Yi, Yang, Ying, Yao, Honghong, Yao, Shenggen, Yao, Xiaoqiang, Yao, Yong-Gang, Yao, Yong-Ming, Yasui, Takahiro, Yazdankhah, Meysam, Yen, Paul, Yi, Cong, Yin, Xiao-Ming, Yin, Yanhai, Yin, Zhangyuan, Yin, Ziyi, Ying, Meidan, Ying, Zheng, Yip, Calvin, Yiu, Stephanie Pei Tung, Yoo, Young, Yoshida, Kiyotsugu, Yoshii, Saori, Yoshimori, Tamotsu, Yousefi, Bahman, Yu, Boxuan, Yu, Haiyang, Yu, Jun, Yu, Li, Yu, Ming-Lung, Yu, Seong-Woon, Yu, Victor, Yu, W Haung, Yu, Zhengping, Yu, Zhou, Yuan, Junying, Yuan, Ling-Qing, Yuan, Shilin, Yuan, Shyng-Shiou, Yuan, Yanggang, Yuan, Zengqiang, Yue, Jianbo, Yue, Zhenyu, Yun, Jeanho, Yung, Raymond, Zacks, David, Zaffagnini, Gabriele, Zambelli, Vanessa, Zanella, Isabella, Zang, Qun, Zanivan, Sara, Zappavigna, Silvia, Zaragoza, Pilar, Zarbalis, Konstantinos, Zarebkohan, Amir, Zarrouk, Amira, Zeitlin, Scott, Zeng, Jialiu, Zeng, Ju-deng, Žerovnik, Eva, Zhan, Lixuan, Zhang, Bin, Zhang, Donna, Zhang, Hanlin, Zhang, Hong, Zhang, Honghe, Zhang, Huafeng, Zhang, Huaye, Zhang, Hui, Zhang, Hui-Ling, Zhang, Jianbin, Zhang, Jianhua, Zhang, Jing-Pu, Zhang, Kalin, Zhang, Leshuai, Zhang, Lin, Zhang, Lisheng, Zhang, Lu, Zhang, Luoying, Zhang, Menghuan, Zhang, Peng, Zhang, Sheng, Zhang, Wei, Zhang, Xiangnan, Zhang, Xiao-Wei, Zhang, Xiaolei, Zhang, Xiaoyan, Zhang, Xin, Zhang, Xinxin, Zhang, Xu Dong, Zhang, Yang, Zhang, Yanjin, Zhang, Yi, Zhang, Ying-Dong, Zhang, Yingmei, Zhang, Yuan-Yuan, Zhang, Yuchen, Zhang, Zhe, Zhang, Zhengguang, Zhang, Zhibing, Zhang, Zhihai, Zhang, Zhiyong, Zhang, Zili, Zhao, Haobin, Zhao, Lei, Zhao, Shuang, Zhao, Tongbiao, Zhao, Xiao-Fan, Zhao, Ying, Zhao, Yongchao, Zhao, Yongliang, Zhao, Yuting, Zheng, Guoping, Zheng, Kai, Zheng, Ling, Zheng, Shizhong, Zheng, Xi-Long, Zheng, Yi, Zheng, Zu-Guo, Zhivotovsky, Boris, Zhong, Qing, Zhou, Ao, Zhou, Ben, Zhou, Cefan, ZHOU, Gang, Zhou, Hao, Zhou, Hong, Zhou, Hongbo, Zhou, Jie, Zhou, Jing, Zhou, Jiyong, Zhou, Kailiang, Zhou, Rongjia, Zhou, Xu-jie, Zhou, Yanshuang, Zhou, Yinghong, Zhou, Yubin, Zhou, Zheng-Yu, Zhou, Zhou, Zhu, Binglin, Zhu, Changlian, Zhu, Guo-Qing, Zhu, Haining, Zhu, Hongxin, Zhu, Hua, Zhu, Wei-Guo, Zhu, Yanping, Zhu, Yushan, Zhuang, Haixia, Zhuang, Xiaohong, Zientara-Rytter, Katarzyna, Zimmermann, Christine, Ziviani, Elena, Zoladek, Teresa, Zong, Wei-Xing, Zorov, Dmitry, Zorzano, Antonio, Zou, Weiping, Zou, Zhen, Zou, Zhengzhi, Zuryn, Steven, Zwerschke, Werner, Brand-Saberi, Beate, Dong, X Charlie, Kenchappa, Chandra Shekar, Li, Zuguo, Lin, Yong, Oshima, Shigeru, Rong, Yueguang, Sluimer, Judith, Stallings, Christina, Tong, Chun-Kit, Ahmad, S. Tariq, Alim Al-Bari, M. Abdul, Bechara, Luiz R.G., Behrens, Georg M.N., Bhuiyan, Md. Shenuarin, Broaddus, V. Courtney, Buchan, J. Ross, Burón, M. Isabel, Carter, A. Brent, Chan, Matthew T.V., Choi, Augustine M.K., D’Adamo, Stefania, D’Amelio, Marcello, D’Arcangelo, Daniela, D’Lugos, Andrew, D’Orazi, Gabriella, De Meyer, Guido R.Y., Delpino, M. Victoria, Distler, Jörg H.W., Dixon, Ian M.C., Dobson, Renwick C.J., 2nd Dorn, Gerald, Eissa, N. Tony, Engelsen, Agnete S.T., Fairlie, W. Douglas, Ferreira, Julio C.B., H.B., Ranjitha, Hanson, Phyllis I., Hejtmancik, J. Fielding, Ho, Idy H.T., Hobbs, G. Aaron, Hoet, Peter H.M., Huang, Michael L.H., Iyer, Anand Krishnan V., Johnson, Gail V.W., Joosten, Leo A.B., Karim, Md. Razaul, Kaufmann, Stefan H.E., Ko, Ben C.B., Leck, Lionel Y.W., Lima, Thania R.R., Livingston, J. Andrew, Martin, Alexandre P.J., Montes, L. Ruth, Murphy, J. Patrick, Ng, Charlene C.W., Nicolao, M. Celeste, O’Donovan, Tracey, O’Leary, Seónadh, O’Rourke, Eyleen, O’Sullivan, Mary, O’Sullivan, Timothy, Omary, M. Bishr, Pereira, Gustavo J.S., Ratnayaka, J. Arjuna, Riazuddin, S. Amer, Rouschop, Kasper M.A., Sanderson, J. Thomas, Scaglione, K. Matthew, Schapira, Anthony H.V., Scovassi, A. Ivana, St. Clair, Daret, Sunahara, Karen K.S., Symons, J. David, Triola, Gemma, van Wijk, Sjoerd J.L., Vanrell, M. Cristina, Vasconcelos, M. Helena, Whitton, J. Lindsay, Williams, Robin S.B., Wong, W. Wei-Lynn, Wu, William K.K., Yakhine-Diop, Sokhna M.S., Yu, W. Haung, Zhang, Kalin Y.B., Dong, X. Charlie, Ain Shams University [ASU], Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University [JGU], Medical University Graz, Centre de Recherche des Cordeliers [CRC (UMR_S_1138 / U1138)], Institut Pasteur d'Iran, Leibniz Institute of Plant Biochemistry [IPB], The University of Texas M.D. Anderson Cancer Center [Houston], Institut de pharmacologie moléculaire et cellulaire [IPMC], Lipides - Nutrition - Cancer [Dijon - U1231] [LNC], Centre méditerranéen de médecine moléculaire [C3M], Institut de Biologie Valrose [IBV], Petites Molécules de neuroprotection, neurorégénération et remyélinisation, Signalisation Hormonale, Physiopathologie Endocrinienne et Métabolique, Institut Cochin [IC UM3 (UMR 8104 / U1016)], Institut NeuroMyoGène [INMG], Paris-Centre de Recherche Cardiovasculaire [PARCC (UMR_S 970/ U970)], Marqueurs cardiovasculaires en situation de stress [MASCOT (UMR_S_942 / U942)], Institut de Recherche sur le Cancer et le Vieillissement [IRCAN], Centre de Recherche en Cancérologie de Marseille [CRCM], Centre for Integrative Biology - CBI [Inserm U964 - CNRS UMR7104 - IGBMC], Oncogenesis, Stress, Signaling [OSS], Institut Necker Enfants-Malades [INEM - UM 111 (UMR 8253 / U1151)], Institut de Biologie Intégrative de la Cellule [I2BC], Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte [M2iSH], Centre de Recherches en Cancérologie de Toulouse [CRCT], Physiopathologie et traitement des maladies du foie, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL], Institut de Génétique et de Biologie Moléculaire et Cellulaire [IGBMC], Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] [BIO-PEROXIL], Centre de recherche sur l'Inflammation [CRI (UMR_S_1149 / ERL_8252 / U1149)], Unité de génétique et biologie des cancers [U830], Laboratoire d'Optique et Biosciences [LOB], Institut des Maladies Métaboliques et Casdiovasculaires [UPS/Inserm U1297 - I2MC], Différenciation et communication neuronale et neuroendocrine [DC2N], Institut de Recherche en Cancérologie de Montpellier [IRCM - U1194 Inserm - UM], Centre d'Immunologie de Marseille - Luminy [CIML], Physiopathologie et imagerie des troubles neurologiques [PhIND], Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée [LBFA], Imagine - Institut des maladies génétiques (IHU) [Imagine - U1163], Institut Mondor de Recherche Biomédicale [IMRB], Franco-czech Laboratory for clinical research on obesity, University of Michigan [Ann Arbor], University of Michigan System, Institut de pharmacologie moléculaire et cellulaire (IPMC), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Université Côte d'Azur (UCA), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Institut de Biologie Valrose (IBV), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Sud - Paris 11 (UP11), Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Nutrition, Métabolisme, Aquaculture (NuMéA), Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut NeuroMyoGène (INMG), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de Recherche en Cancérologie de Marseille (CRCM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU), Centre for Integrative Biology - CBI (Inserm U964 - CNRS UMR7104 - IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institute of genetics and molecular and cellular biology-Centre National de la Recherche Scientifique (CNRS), Chemistry, Oncogenesis, Stress and Signaling (COSS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-CRLCC Eugène Marquis (CRLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Necker Enfants-Malades (INEM - UM 111 (UMR 8253 / U1151)), Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte (M2iSH), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre de Recherche en Nutrition Humaine d'Auvergne (CRNH d'Auvergne)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Centre International de Recherche en Infectiologie - UMR (CIRI), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherches en Cancérologie de Toulouse (CRCT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] (BIO-PEROXIL), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de recherche sur l'Inflammation (CRI (UMR_S_1149 / ERL_8252 / U1149)), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de génétique et biologie des cancers (U830), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Optique et Biosciences (LOB), École polytechnique (X)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Différenciation et communication neuronale et neuroendocrine (DC2N), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Recherche en Cancérologie de Montpellier (IRCM - U1194 Inserm - UM), CRLCC Val d'Aurelle - Paul Lamarque-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie et imagerie des troubles neurologiques (PhIND), Université de Caen Normandie (UNICAEN), Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée (LBFA), Université Grenoble Alpes (UGA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Epithelial biology and disease - Liliane Bettencourt Chair of Developmental Biology (Equipe Inserm U1163), Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Biomécanique cellulaire et respiratoire (BCR), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Charles University [Prague]-Institut National de la Santé et de la Recherche Médicale (INSERM), This work was supported by the National Institute of General Medical Sciences [GM131919]., Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Marqueurs cardiovasculaires en situation de stress (MASCOT (UMR_S_942 / U942)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Université Sorbonne Paris Nord, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie des Adaptations Nutritionnelles (PhAN), Université de Nantes (UN)-Institut National de la Recherche Agronomique (INRA), Département Plateforme (PF I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut Gustave Roussy (IGR), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Chinese Academy of Medical Sciences [Suzhou, Chine] (CAMS), Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], Department of Women's and Children's Health [Stockholm, Sweden], Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École polytechnique (X), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, FHU OncoAge - Pathologies liées à l’âge [CHU Nice] (OncoAge), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Institut de Pharmacologie Moléculaire et Cellulaire [UNIV Côte d'Azur] (UPMC), Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), Life Sciences Institute [Ann Arbor, MI, USA], University of Michigan System-University of Michigan System, European Institute of Oncology IRCCS [Milan, Italy] (EIO), Ain Shams University (ASU), Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Réseau International des Instituts Pasteur (RIIP), Leibniz Institute of Plant Biochemistry (IPB), Hebrew University of Jerusalem, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Agro Dijon, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Oncogenesis, Stress, Signaling (OSS), Institut des Maladies Métaboliques et Casdiovasculaires (UPS/Inserm U1297 - I2MC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Charles University [Prague] (CU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., Abeliovich, H., Abildgaard, M. H., Abudu, Y. P., Acevedo-Arozena, A., Adamopoulos, I. E., Adeli, K., Adolph, T. E., Adornetto, A., Aflaki, E., Agam, G., Agarwal, A., Aggarwal, B. B., Agnello, M., Agostinis, P., Agrewala, J. N., Agrotis, A., Aguilar, P. V., Ahmad, S. T., Ahmed, Z. M., Ahumada-Castro, U., Aits, S., Aizawa, S., Akkoc, Y., Akoumianaki, T., Akpinar, H. A., Al-Abd, A. M., Al-Akra, L., Al-Gharaibeh, A., Alaoui-Jamali, M. A., Alberti, S., Alcocer-Gomez, E., Alessandri, C., Ali, M., Alim Al-Bari, M. A., Aliwaini, S., Alizadeh, J., Almacellas, E., Almasan, A., Alonso, A., Alonso, G. D., Altan-Bonnet, N., Altieri, D. C., Alvarez, E. M. C., Alves, S., Alves da Costa, C., Alzaharna, M. M., Amadio, M., Amantini, C., Amaral, C., Ambrosio, S., Amer, A. O., Ammanathan, V., An, Z., Andersen, S. U., Andrabi, S. A., Andrade-Silva, M., Andres, A. M., Angelini, S., Ann, D., Anozie, U. C., Ansari, M. 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. H., Cardenal-Munoz, E., Cardenas, C., Cardenas, L., Cardoso, S. M., Carew, J. S., Carle, G. F., Carleton, G., Carloni, S., Carmona-Gutierrez, D., Carneiro, L. A., Carnevali, O., Carosi, J. M., Carra, S., Carrier, A., Carrier, L., Carroll, B., Carter, A. B., Carvalho, A. N., Casanova, M., Casas, C., Casas, J., Cassioli, C., Castillo, E. F., Castillo, K., Castillo-Lluva, S., Castoldi, F., Castori, M., Castro, A. F., Castro-Caldas, M., Castro-Hernandez, J., Castro-Obregon, S., Catz, S. D., Cavadas, C., Cavaliere, F., Cavallini, G., Cavinato, M., Cayuela, M. L., Cebollada Rica, P., Cecarini, V., Cecconi, F., Cechowska-Pasko, M., Cenci, S., Ceperuelo-Mallafre, V., Cerqueira, J. J., Cerutti, J. M., Cervia, D., Cetintas, V. B., Cetrullo, S., Chae, H. -J., Chagin, A. S., Chai, C. -Y., Chakrabarti, G., Chakrabarti, O., Chakraborty, T., Chami, M., Chamilos, G., Chan, D. W., Chan, E. Y. W., Chan, E. D., Chan, H. Y. E., Chan, H. H., Chan, H., Chan, M. T. V., Chan, Y. S., Chandra, P. K., Chang, C. -P., Chang, C., Chang, H. -C., Chang, K., Chao, J., Chapman, T., Charlet-Berguerand, N., Chatterjee, S., Chaube, S. K., Chaudhary, A., Chauhan, S., Chaum, E., Checler, F., Cheetham, M. E., Chen, C. -S., Chen, G. -C., Chen, J. -F., Chen, L. L., Chen, L., Chen, M., Chen, M. -K., Chen, N., Chen, Q., Chen, R. -H., Chen, S., Chen, W., Chen, X. -M., Chen, X. -W., Chen, X., Chen, Y., Chen, Y. -G., Chen, Y. -J., Chen, Y. -Q., Chen, Z. S., Chen, Z., Chen, Z. -H., Chen, Z. J., Cheng, H., Cheng, J., Cheng, S. -Y., Cheng, W., Cheng, X., Cheng, X. -T., Cheng, Y., Cheng, Z., Cheong, H., Cheong, J. K., Chernyak, B. V., Cherry, S., Cheung, C. F. R., Cheung, C. H. A., Cheung, K. -H., Chevet, E., Chi, R. J., Chiang, A. K. S., Chiaradonna, F., Chiarelli, R., Chiariello, M., Chica, N., Chiocca, S., Chiong, M., Chiou, S. -H., Chiramel, A. I., Chiurchiu, V., Cho, D. -H., Choe, S. -K., Choi, A. M. K., Choi, M. E., Choudhury, K. R., Chow, N. S., Chu, C. T., Chua, J. P., Chua, J. J. E., Chung, H., Chung, K. P., Chung, S., Chung, S. -H., Chung, Y. -L., Cianfanelli, V., Ciechomska, I. A., Cifuentes, M., Cinque, L., Cirak, S., Cirone, M., Clague, M. J., Clarke, R., Clementi, E., Coccia, E. M., Codogno, P., Cohen, E., Cohen, M. M., Colasanti, T., Colasuonno, F., Colbert, R. A., Colell, A., Colic, M., Coll, N. S., Collins, M. O., Colombo, M. I., Colon-Ramos, D. A., Combaret, L., Comincini, S., Cominetti, M. R., Consiglio, A., Conte, A., Conti, F., Contu, V. R., Cookson, M. R., Coombs, K. M., Coppens, I., Corasaniti, M. T., Corkery, D. P., Cordes, N., Cortese, K., Costa, M. D. C., Costantino, S., Costelli, P., Coto-Montes, A., Crack, P. J., Crespo, J. L., Criollo, A., Crippa, V., Cristofani, R., Csizmadia, T., Cuadrado, A., Cui, B., Cui, J., Cui, Y., Culetto, E., Cumino, A. C., Cybulsky, A. V., Czaja, M. J., Czuczwar, S. J., D'Adamo, S., D'Amelio, M., D'Arcangelo, D., D'Lugos, A. C., D'Orazi, G., da Silva, J. A., Dafsari, H. S., Dagda, R. K., Dagdas, Y., Daglia, M., Dai, X., Dai, Y., Dal Col, J., Dalhaimer, P., Dalla Valle, L., Dallenga, T., Dalmasso, G., Damme, M., Dando, I., Dantuma, N. P., Darling, A. L., Das, H., Dasarathy, S., Dasari, S. K., Dash, S., Daumke, O., Dauphinee, A. N., Davies, J. S., Davila, V. A., Davis, R. J., Davis, T., Dayalan Naidu, S., De Amicis, F., De Bosscher, K., De Felice, F., De Franceschi, L., De Leonibus, C., de Mattos Barbosa, M. G., De Meyer, G. R. Y., De Milito, A., De Nunzio, C., De Palma, C., De Santi, M., De Virgilio, C., De Zio, D., Debnath, J., Debosch, B. J., Decuypere, J. -P., Deehan, M. A., Deflorian, G., Degregori, J., Dehay, B., Del Rio, G., Delaney, J. R., Delbridge, L. M. D., Delorme-Axford, E., Delpino, M. V., Demarchi, F., Dembitz, V., Demers, N. D., Deng, H., Deng, Z., Dengjel, J., Dent, P., Denton, D., Depamphilis, M. L., Der, C. 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. 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J., Roccheri, M. C., Rocchi, S., Rodney, G. G., Rodrigues, T., Rodrigues Silva, V. R., Rodriguez, A., Rodriguez-Barrueco, R., Rodriguez-Henche, N., Rodriguez-Rocha, H., Roelofs, J., Rogers, R. S., Rogov, V. V., Rojo, A. I., Rolka, K., Romanello, V., Romani, L., Romano, A., Romano, P. S., Romeo-Guitart, D., Romero, L. C., Romero, M., Roney, J. C., Rongo, C., Roperto, S., Rosenfeldt, M. T., Rosenstiel, P., Rosenwald, A. G., Roth, K. A., Roth, L., Roth, S., Rouschop, K. M. A., Roussel, B. D., Roux, S., Rovere-Querini, P., Roy, A., Rozieres, A., Ruano, D., Rubinsztein, D. C., Rubtsova, M. P., Ruckdeschel, K., Ruckenstuhl, C., Rudolf, E., Rudolf, R., Ruggieri, A., Ruparelia, A. A., Rusmini, P., Russell, R. R., Russo, G. L., Russo, M., Russo, R., Ryabaya, O. O., Ryan, K. M., Ryu, K. -Y., Sabater-Arcis, M., Sachdev, U., Sacher, M., Sachse, C., Sadhu, A., Sadoshima, J., Safren, N., Saftig, P., Sagona, A. 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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)
Subjects: 0301 basic medicine, Programmed cell death, Settore BIO/06, Autophagosome, Autolysosome, [SDV]Life Sciences [q-bio], lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Autophagy-Related Proteins, Review, Computational biology, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Biology, Settore MED/04, 03 medical and health sciences, stress, Chaperone-mediated autophagy, ddc:570, Autophagy, LC3, Animals, Humans, cancer, Settore BIO/10, flux, lysosome, macroautophagy, neurodegeneration, phagophore, vacuole, Set (psychology), Molecular Biology, 030102 biochemistry & molecular biology, business.industry, Interpretation (philosophy), Autophagosomes, Cell Biology, Multicellular organism, 030104 developmental biology, Knowledge base, Biological Assay, Lysosomes, business, Biomarkers, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
Published: 2021

10. Five Years Follow-up After Arthroscopic Rotator Cuff Repair Using Suture Bridge Technique: Evaluation of the Retear Rate and the Impairment of the Shoulder Function

Author: Jiang Bo, Ma Jia, Zhang Sheng, Zhang Lei, Sun Jin, Liu Xiaohua, Deng Nanling, Wang Zheng, Shi Huisheng, and Li Yan
Subjects: Suture bridge, medicine.medical_specialty, medicine.anatomical_structure, business.industry, Shoulder function, medicine, Rotator cuff, business, Surgery
Abstract: Purpose: To evaluate the retear rate after arthroscopic rotator cuff repair using a suture bridge (SB) technique for patients with full thickness rotator cuff tears and whether the non- healing cuff impaired the shoulder function.Methods: From January 2013 to January 2014, 92 patients in our institution underwent arthroscopic double-row suture bridge repair for the treatment of full-thickness rotator cuff tear 55 patients who have completed the 5 years follow-up were enrolled in this study. There were 36 female and 19 male patients, and the average age was 58.6 years (range, 41- 70 years). The tears were classified into small ( 5 cm) according to the classification of DeOrio and Cofield. According to the intraoperative measurement, small tears were found in 5 shoulders (9%), medium tears in 19 shoulders (34.5%), large tears in 23 shoulders (41.8%), and massive tears in 8 shoulders (14.5%). The mean follow-up was 71.2 months (range, 66-78 months). Post-operative cuff integrity was evaluated with ultrasound (US) according to the published literature which was comparable to Sugaya MRI classification. Types I-III indicated cuff healing and types IV or V indicated retear. The retear patterns were divided into type 1 (failure at the original repair site) or 2 (failure around the medial row). At baseline and final follow-up, shoulder functional outcomes were measured using validated, shoulder-specific outcome scores, including the Constant-Murley score (CS) and the American Shoulder and Elbow Score (ASES). The difference in abduction muscle strength was also evaluated between the integrity and the retear group.Results: At final follow-up, the rotator cuff was completely healed in 45 of the 55 shoulders. There were recurrent tears in 10 shoulders, and the retear rate was 18.2%. The type 1 re- tear pattern was found in 4 shoulders (40%), and type 2 in 6 shoulders (60%). The Constant and ASES scores improved from 41.00 to 92.00, and from 41.33 to 88.00, respectively. The mean differences in shoulder scaption strength between the healing and the retear group were 1.1±0.82Kg and 3.0±0.88Kg respectively. The difference in muscle strength between the retear and the healing group was statistically significant (pConclusion: Arthroscopic suture bridge repair of full-thickness rotator cuff tears led to excellent improvement in shoulder function, but maintained a high retear rate. Although the retear group had inferior muscle strength, the patients were still satisfied, and shoulder function was improved due to pain relief. Whether such changes in muscle strength impair patients' long-term quality of life and shoulder function remains to be discussed.Level of evidence IV
Published: 2020

11. Research and design of Laboratory environmental monitoring system based on stm32

Author: Lu Huan-lin, Deng Jin-hai, and Zhang Sheng-lan
Subjects: Computer science, business.industry, STM32, USB, law.invention, Environmental data, LED lamp, Microcontroller, ALARM, law, Buzzer, Environmental monitoring, business, Computer hardware
Abstract: In order to meet the needs of real-time monitoring of experimental environment, the stm32f103c8t6 microcontroller is designed as the core, integrating environmental sensors, function buttons, OLED display, LED lights, etc., to realize real-time detection of temperature, humidity and combustible gas, so as to achieve the purpose of real-time monitoring of experimental environment. The sensor is powered on to detect the environmental data of the laboratory. After the data is converted by external circuit and processed by STM32, the display data is output to the display screen and alarm prompt to the LED lamp and buzzer. The display screen displays the environmental data and alarm gas source prompt. At the same time, LED lights and buzzer are turned on to mix alarm and multiple alarms to remind laboratory researchers. The system is powered by USB or battery. It is portable, portable and easy to monitor anytime and anywhere.
Published: 2020

12. Study on the Health Condition Monitoring Method of Hydraulic Pump Based on Convolutional Neural Network

Author: Sun Shaowu, Zhang Sheng, Jiang Wanlu, and Li Zhenbao
Subjects: Volumetric efficiency, Computer science, business.industry, Wavelet transform, Pattern recognition, Convolutional neural network, Signal, Vibration, symbols.namesake, Fourier transform, Test set, symbols, Artificial intelligence, business, Hydraulic pump
Abstract: Aiming at the different health states of hydraulic pumps, this paper proposes to use the convolutional neural network to classify and identify the time-frequency images of different volumetric efficiency of hydraulic pumps to realize the health status monitoring of hydraulic pumps. After collecting the vibration signal data of the hydraulic pump, the time-frequency map is formed by short-time Fourier transform, wavelet transform, and Wigner-Will distribution, and then the generated time-frequency map is divided into a training set and a test set, in which the former is used to train the convolutional neural network and the latter is used to verify the recognition result. Finally, it is proved that the convolutional neural network can well identify the different health states of the hydraulic pump, and the recognition rate reaches 99%.
Published: 2020

13. Research and Design of a Fall Detection System Based on Multi-axis Sensor

Author: Gan Li-fu, Zhang Sheng-lan, Yu Yi-fan, and Wang Diao
Subjects: business.industry, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Stability (learning theory), Kalman filter, Chip, Euler angles, Support vector machine, symbols.namesake, Acceleration, Software, Data retrieval, symbols, Computer vision, Artificial intelligence, business
Abstract: This paper proposed a falling detection system based on MPU6500 senor, this system uses the method of combining hardware and mobile phone APP, the hardware bases on STM8 chip, using MPU6500 gathering human three-axis attitude angle and three-axis acceleration motion, after Kalman filtering for Euler angle and four-element method are used to calculate the human body posture angle. If the discrimination exceeds the set threshold value, turn into the discriminant of based on the characteristics acceleration vector of the SVM. The discrimination can be filtered non-falling state, achieve the purpose of accurate identification and alarm. Software supports data retrieval and improvement. Experimental results verify that the algorithm accuracy reaching 97% and have high accuracy and stability.
Published: 2019

14. Characteristics of knowledge, people engaged in knowledge transfer and knowledge stickiness: evidence from Chinese R&D team

Author: Huang Huan, Dou Qinchao, Zhang Sheng, and Ma Yongyuan
Subjects: Value (ethics), Knowledge management, business.industry, Process (engineering), Strategy and Management, media_common.quotation_subject, 05 social sciences, Perspective (graphical), Knowledge value chain, Countermeasure, Originality, Management of Technology and Innovation, 0502 economics and business, Organizational learning, 050211 marketing, Psychology, business, Knowledge transfer, 050203 business & management, media_common
Abstract: Purpose The aim of this study is to provide some important insights for knowledge stickiness from the perspective of the characteristic of knowledge and the people engaged in the knowledge transfer. It proposes an empirical model about factors that influence knowledge stickiness. Design/methodology/approach Based on knowledge-based view (KBV), this paper systematically elaborated the research model, and then conducted a survey to test the hypotheses. Data were collected by face-to-face interviews in R&D team of knowledge-intensive firms in China. The empirical results generally support the proposed hypotheses. Findings The paper provides empirical insights about how the knowledge transfer willingness, transfer ability, knowledge residence, knowledge articulability and absorption ability affect the knowledge stickiness in the process of knowledge transfer in R&D team. Research limitations/implications This paper provides guidelines about how firms should optimally respond to knowledge stickiness in knowledge transfer process practically. Practical implications The proposed framework helps to understand what factors impact knowledge stickiness in R&D teams. Furthermore, the research also provides guidelines about how firms should optimally respond to knowledge stickiness in knowledge transfer process practically from both aspects of characteristics of knowledge itself and people involved in knowledge transfer. Originality/value This study, grounded on KBV, constructs a countermeasure model of weakening knowledge stickiness, which contributes to an understanding of factors leading to the success or failure of knowledge transfer. It eventually theoretically extends the KBV of the firm and commits to improve the efficiency and effectiveness of knowledge transfer practically.
Published: 2017

15. Performance Review of the Bank of Agriculture in Katsina State, Nigeria

Author: Ahmad Muhammad, Zhang Sheng, and Shaikh Abdullah Al Mamun Hossain
Subjects: business.industry, bank, media_common.quotation_subject, Nigeria, General Medicine, Agricultural economics, State (polity), Agriculture, Business, Water resource management, Analysis, performance, credit, media_common
Abstract: Aims: The study aims to review the performance of the Nigerian bank of agriculture, Katsina state, in terms of micro credit disbursement and loan recovery. Study Design: Reviewing the bank performance in terms of micro-credit delivery and loan recovery from the year 2013 to 2015. Place and Duration of Study: Katsina state, Nigeria and College of Economics and Management, Shenyang Agricultural University, Shenyang, 110866, China from Sep, 2015 to Sep, 2016. Methodology: Data was collected using structured questionnaire administered to a hundred and seventy six randomly sampled money borrowers from the bank of agriculture. Similarly secondary data on the bank’s loan disbursement for the period under study was collected. The collected data were analyzed using descriptive statistics and the data was analyzed using loan repayment and loan default rate equations. Results: The study result revealed that, about 81% of the borrowers from the bank are males, 55% of them are in their productive ages and 49% among them had no formal education and 32% of the borrowers complained of the inadequate number of bank branches in the region. The study also revealed that a total of $164889.68 was disbursed by the bank to 398 borrowers in the years under study. Furthermore the bank has recorded 79% loan repayment rate from 2013 to 2015. Conclusion: Based on the findings, it is recommended that the bank should be restructured administratively and repositioned by employing more competent and better experienced banking personnel. Also, government should inject more funds into the bank.
Published: 2017

16. Fabrication of high performance Gadolinium-aluminum-zinc-oxide thin film transistors

Author: 韩德栋 Han De-dong, 张盛东 Zhang Sheng-dong, 张兴 Zhang Xing, 郁文 Yu Wen, 董俊辰 Dong Jun-chen, 李慧津 Li Hui-jin, and 王漪 Wang Yi
Subjects: Materials science, Fabrication, business.industry, Gadolinium, Transistor, chemistry.chemical_element, Zinc oxide thin films, Electronic, Optical and Magnetic Materials, law.invention, chemistry, law, Aluminium, Signal Processing, Optoelectronics, business, Instrumentation
Published: 2017

17. The Efficacy of Rituximab Combined with 131I for Ophthalmic Outcomes of Graves' Ophthalmopathy Patients

Author: Xian-Jie Hu, Xing Zhang, Jianqiang Zhao, Zhang-Sheng Xiao, Yun Li, Xuemei Ye, Jia-Gen Li, Weikun Gong, and Song-Ze Zhang
Subjects: Pharmacology, medicine.medical_specialty, endocrine system diseases, business.industry, Treatment outcome, 030209 endocrinology & metabolism, General Medicine, medicine.disease, Surgery, law.invention, Graves' ophthalmopathy, 03 medical and health sciences, 0302 clinical medicine, Pharmacotherapy, Methylprednisolone, Randomized controlled trial, law, Internal medicine, 030221 ophthalmology & optometry, Medicine, Rituximab, business, Prospective cohort study, Adverse effect, medicine.drug
Abstract: Purpose: The purpose of this study is to examine the effectiveness of introducing both rituximab (RTX) and 131I for active Graves' ophthalmopathy (GO) with hyperthyroidism. Methods: In total, 217 patients suffering from active GO with hyperthyroidism were included in this research. All subjects were randomly assigned to 3 groups. Patients in group A solely received 131I treatment; group B1 underwent a methylprednisolone treatment in combination with 131I treatment; and group B2 received an RTX in combination with 131I treatment. Hyperthyroidism treatment outcomes, orbital volumetry, ophthalmic assessments, serum cytokine levels, and adverse effects were measured after treatment. Results: The orbital volumetry principle was significantly different from 24 weeks after the start of treatment among all 3 groups, and improvements in most ophthalmic parameters were regarded significantly different among 3 groups (all p < 0.05). The expression levels of miR-146a and most serum cytokines were regarded significantly different from 24 weeks after the start of treatment among 3 groups (all p < 0.05). Conclusions: In comparison with other therapies, RTX treatment in combination with 131I treatment is considered to be more effective for hyperthyroidism with active GO.
Published: 2017

18. Research on influence of special-shaped honeycomb radar absorbing structure for wide-band absorbing design

Author: Zhang Sheng-jun, Ai Xia, Wang Ming-liang, Liu Jiaqi, Mu Lei, Liu Xin, Wan Guo-bin, Zhao Xin-ying, Wang Weidong, and Zhao Ju-yan
Subjects: nested cone-shaped scattering configuration, Materials science, honeycomb structures, Impedance matching, Structure (category theory), wide-band absorbing design, Energy Engineering and Power Technology, 02 engineering and technology, law.invention, Optics, special-shaped honeycomb radar absorbing structure, law, 0202 electrical engineering, electronic engineering, information engineering, Wide band, Radar, electromagnetic wave absorption, impedance matching, business.industry, Scattering, General Engineering, oblique incidence angles, Honeycomb (geometry), 020206 networking & telecommunications, absorbing performance, Honeycomb structure, radar absorbing materials, structural engineering, lcsh:TA1-2040, radar absorbing material, business, lcsh:Engineering (General). Civil engineering (General), Radar-absorbent material, vertical incidence angles, Software
Abstract: To realise wide-band stealth of radar absorbing material, a special-shaped honeycomb radar absorbing structure within nested cone-shaped scattering configuration is designed. Based on the HS theory and the impedance matching design, the rule about the influence of the geometry parameter and electromagnetic parameter on the absorbing performance is analysed. In addition, the reflectivity performance is analysed on the condition of oblique incidence angles. By optimising the geometry parameters of the special-shaped honeycomb structure and designing the multilayer composite structure based on impedance matching theory, the results indicate that the two absorbing peaks can be formed for the special-shaped honeycomb radar absorbing structure, and the reflectivity is improved for both the vertical and oblique incidence angles.
Published: 2019

19. EMMI Abnormal Hotspot Study for Latch up Simulation

Author: Chen Zhi-Wei, Zhang Sheng-Ru, Huang Chia-Sheng, Tsai Bo-an, Lin shin-chia, and Guo Xuan-Chao
Subjects: Computer science, business.industry, Circuit design, Bipolar junction transistor, Electrical engineering, Hardware_PERFORMANCEANDRELIABILITY, Integrated circuit, Package sample, Chip, law.invention, Gain factor, law, Hotspot (geology), Hardware_INTEGRATEDCIRCUITS, business, Hardware_LOGICDESIGN, Voltage
Abstract: Latch-Up is a common circuit design problem in product reliability. Because of the poor design of the integrated circuit, the P-N-P-N junction in the chip is triggered by an applied current or voltage then to happen an internal latching current. The high temperature generated by the internal latching current will burn the internal circuit or cause the circuit to work abnormally. This paper is to discuss when the IC happen latch-up, we need to prepare different test sample ex. "de-cap package sample front side sample" / "de-cap package sample back side COB (chip on board) sample"/ Blue tape COB backside sample. We also compare the difference between each test samples. Finally we discuss EMMI (Emission Microscope) hot spot experiment for latch-up simulation that needs limited of current with each different COB sample. The stress current limitation will induce EMMI result, based on this fail model and improve the product Latch-up performance by reducing parasitic BJT (bipolar transistor) circuit current gain factor s.
Published: 2019

20. Research of M&S ecosystem based on Data Driven

Author: Zhang Sheng-jun, Liu Jiaqi, Zhao Zheng, and Zhang Chao
Subjects: ComputingMilieux_GENERAL, S system, Formalism (philosophy of mathematics), business.industry, Computer science, Environmental resource management, 0202 electrical engineering, electronic engineering, information engineering, 020206 networking & telecommunications, 020201 artificial intelligence & image processing, Ecosystem, 02 engineering and technology, business, Data-driven
Abstract: The paper focuses on the M&S ecosystems based on data driven. We proposed a new perspective of information to build a ULS-liked M&S system. Under this perspective, formalism of M&S Ecosystem was developed and the mechanism was designed based on the data driven pattern. We suggested a new concept of information box as an atomic body in M&S ecosystems, and design its structure. At last, we provide a light and flexible mechanism to develop and update M&S ecosystems.
Published: 2019

21. A Smart Eye Tracking System for Virtual Reality

Author: He Jia, Zhang Yun, Li Bin, Xiaoping Huang, Xiujuan Zheng, and Zhang Sheng
Subjects: Eye tracking system, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Eye movement, Virtual reality, Gaze, Field (computer science), InformationSystems_MODELSANDPRINCIPLES, Eye detection, medicine.anatomical_structure, medicine, Computer vision, Interaction mode, Human eye, Artificial intelligence, business
Abstract: Virtual reality (VR) technology provides specific three-dimensional (3D) scenes for users, which could be benefit for the applications in the field of medical diagnosis, psychological analysis, cognitive researches and entertainments. The current VR device provides the virtual 3D images, but cannot synchronously detect the user's eye movements which could be significant for deriving the users' gaze points and interest regions in varied applications. In this paper, we proposed a smart eye tracking system for VR device. Firstly, a smart eye movement detection kit is mounted inside the VR device to capture the human eye movement images with the rate of 30 Hz. Based on the proposed eye detection kit, a gaze detection algorithm is then established for VR devices. Next, a gaze estimation model is proposed for human gaze estimation. The proposed smart eye tracking system can detect the user's eye movements in real time under VR stimulation. Moreover, it also provide a new human-VR interaction mode.
Published: 2019

22. Correction to: Efficacy of electro-acupuncture and manual acupuncture versus sham acupuncture for knee osteoarthritis: study protocol for a randomised controlled trial

Author: Zhang Sheng Yu, Jian-Feng Tu, Tong Wang, Cun-Zhi Liu, Jun Wang, Zhi Shun Liu, Tian Qi Wang, Ya Quan Hou, Li-Qiong Wang, Jing Wen Yang, Yu Zheng Du, Yu Wang, Chun Sheng Jia, Xiao Gang Yu, Xuan Zou, Lu Lu Lin, Jing Jie Zhao, Hui Hu, and Jia Kai Shao
Subjects: Male, medicine.medical_specialty, Electro acupuncture, Acupuncture Therapy, Medicine (miscellaneous), Osteoarthritis, law.invention, Randomized controlled trial, law, Acupuncture, Humans, Medicine, Pharmacology (medical), Aged, Randomized Controlled Trials as Topic, Protocol (science), lcsh:R5-920, business.industry, Correction, Middle Aged, Osteoarthritis, Knee, medicine.disease, Electroacupuncture, Research Design, Data Interpretation, Statistical, Sample Size, Quality of Life, Physical therapy, Female, Sham acupuncture, lcsh:Medicine (General), business
Abstract: Knee osteoarthritis (KOA) is one of the most common musculoskeletal disorders. Although the available evidence for its efficacy is inconclusive, acupuncture is used as an alternative therapy for KOA. The aim of this trial is to determine the efficacy of electro-acupuncture and manual acupuncture versus sham acupuncture for KOA.This is a study protocol for a randomised, three-arm, multicentre, clinical trial. A total of 480 patients with KOA will be randomly assigned to the electro-acupuncture group, the manual acupuncture group or the sham acupuncture group in a 1:1:1 ratio. All patients will receive 24 sessions over 8 weeks. Participants will complete the trial by visiting the research centre at week 26 for a follow-up assessment. The primary outcome is the success rate: the proportion of patients achieving a minimal clinically important improvement, which is defined as ≥2 points on the numerical rating scale and ≥6 points on the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) function score at week 8 compared with baseline. Secondary outcomes include the numerical rating scale, WOMAC score, global patient assessment and quality of life at weeks 4, 8, 16 and 26 after randomisation.This trial may provide high-quality evidence for the efficacy of acupuncture in the treatment of KOA. The results of this study will be published in peer-reviewed journals.ClinicalTrials.gov, NCT03274713 . Registered on 20 November 2017.
Published: 2019

23. Maladjustment of β-CGRP/α-CGRP Regulation of AQP5 Promotes Alveolar Epithelial Cell Apoptosis to Pulmonary Fibrosis

Author: Liu Qicai, Lv Xiaoting, Zhang Shuyu, Wang Jingwen, Zhang Sheng, Zhou Xiaohui, Ding Fadian, Chen Min, Gao Feng, and Chen Qingqiong
Subjects: Pathology, medicine.medical_specialty, Lung, business.industry, Interstitial lung disease, Calcitonin gene-related peptide, medicine.disease, Bleomycin, chemistry.chemical_compound, medicine.anatomical_structure, chemistry, Apoptosis, Pulmonary fibrosis, medicine, Immunohistochemistry, business, CD8
Abstract: Background: To explore the triggering mechanism of interstitial lung disease (ILD) by establishing the effects of immunogenic and neurogenic calcitonin gene-related peptide (CGRP) imbalance on the regulation of AQP5 expression and the repair responses to promote alveolar epithelial cell (AEC) apoptosis in pulmonary fibrosis. Methods: Newly diagnosed ILD patients (n=60) were enrolled, whoseserological levels of β-CGRP, α-CGRP, AQP5, RAMP1, and RCP were detected by ELISA. Th1 and Th2 cytokines and CD4+ and CD8+ cells were measured by flow cytometry method (FCM). In vivo, bleomycin (BLM) was set for modeling pulmonary fibrosis. The CALCA-HET model was set as a chronic pulmonary fibrosis model. Hematoxylin-eosin (H&E), immunohistochemistry, Masson's trichrome staining, and TUNEL staining was performed to assess the role of apoptosis in the injured lung. The concentrations of cytokines were determined by cytokine antibody arrays. Results: Abnormal activation of serological CD4+T lymphocytes and predominant Th2 response was established in patients with ILD. Moreover, the ratio of β-CGRP/α-CGRP was positively correlated with the increased level of AQP5 in patients with ILD. In vivo, a significant increase of AQP5 and β-CGRP at the chronic stage of pulmonary fibrosis induced by bleomycin in mice model, whereas the expression of AQP5 protein was the generally decreased in the acute alveolitis phase. Moreover, the levels of AQP5 and α-CGRP in the CALCA-HET rats were elevated. The high ratio βCGRP/α-CGRP enhanced the expression of AQP5, inhibited TGFβ1/PSmad1/Smad4 pathway, and upregulated NRF2 signal, whereas the apoptosis of alveolar epithelial cells was significantly reduced in late-stage pulmonary fibrosis. Conclusions: The high ratio of β-CGRP/α-CGRP induced predominant Th2 response and promoted AEC apoptosis through inactivation of the TGFβ1/smad1 signaling pathway and upregulation of the Nrf2 signaling in the chronic stage of pulmonary fibrosis. Funding Statement: This work was financially supported by the National Natural Science Foundation of China (no.81800070 to Xiaoting Lv and no.81871293, no.81571613 to Qicai Liu), the Joint Fund for Program of Science innovation of Fujian Province (no.2016Y9011 to Feng Gao), the Sail Foundation of Fujian Medical University (no.2016QH063 to Xiaoting Lv). Declaration of Interests: The authors have no competing interests to declare. Ethics Approval Statement: This study was approved by the Medical Ethics Committee of the First Affiliated Hospital of Fujian Medical University (no. [2016]156). Consent for participation and publication the case reports was obtained. The animal experiment was approved by the Experimentation Ethics Committee on Animal Rights Protection of Fujian Medical University Animal Experiment Center (Fujian, China). During the experiments, the animals were treated in compliance with the “Guiding Opinions on the Ethical Treatments of Laboratory Animals” published by the Ministry of Science and Technology in 2006. All procedures strictly followed the National Institutes of Health guidelines for the care and use of laboratory animals.
Published: 2019

24. Clustering-Based Driving Behavior Recognition Using Inertial Sensors

Author: Qin Shuang, Zhang Sheng, and Wu Minglin
Subjects: 050210 logistics & transportation, Basis (linear algebra), Computer science, business.industry, 010401 analytical chemistry, 05 social sciences, Feature selection, Pattern recognition, Behavior recognition, 01 natural sciences, 0104 chemical sciences, Feature Dimension, Wavelet, Inertial measurement unit, 0502 economics and business, Metric (mathematics), Artificial intelligence, business, Cluster analysis
Abstract: Understanding and recognizing driving behavior is critical for traffic safety. In this paper, we propose a clustering-based systematic method to analyze and recognize driving behavior. Different from the past driving behavior recognition, we introduce wavelet analysis to get more accurately localized temporal and frequency information, and we also significantly reduce the feature dimension by the algorithm of applying metric learning to clustering. In our experiment, with only a 4-dimensional feature set, seven different driving events can be classified with a high accuracy of 97%. The proposed systematic method is universal, efficient and has a solid theoretical basis.
Published: 2018

25. Biobanking of Fresh-Frozen Gastric Cancer Tissues: Impact of Long-Term Storage and Clinicopathological Variables on RNA Quality

Author: Aifen Lin, Wen-Jun Zhou, Zhang-Sheng Zhao, Xia Zhang, Qiu-Yue Han, and Jian-Gang Zhang
Subjects: Oncology, Male, Quality Control, medicine.medical_specialty, Time Factors, media_common.quotation_subject, RNA Stability, Medicine (miscellaneous), Tissue Banks, General Biochemistry, Genetics and Molecular Biology, Specimen Handling, 03 medical and health sciences, 0302 clinical medicine, Stomach Neoplasms, Internal medicine, Medicine, Humans, Quality (business), RNA, Neoplasm, media_common, Aged, Biological Specimen Banks, 030219 obstetrics & reproductive medicine, business.industry, Cold Ischemia, 0402 animal and dairy science, Tissue Processing, RNA, Cancer, 04 agricultural and veterinary sciences, Cell Biology, General Medicine, medicine.disease, 040201 dairy & animal science, Biobank, Fresh frozen, Female, business
Abstract: Molecular research is increasingly dependent on high-quality biobanked biospecimens. Preanalytical variables in tissue processing and preservation may influence the RNA quality and research results. Hence, the effect of long-term storage and clinicopathological parameters on RNA quality needs to be elucidated.Ninety gastric cancer tissue samples were collected and fresh-frozen in a -80°C freezer for 12 years (2006-2017). The histology was assessed and RNA integrity number (RIN) was detected by an Agilent 2100 Bioanalyzer. The impact of storage duration on RNA integrity and histomorphology was analyzed. The difference between RIN values and clinical variables was analyzed. Correlations between pathological parameters such as tumor cell percentage, stroma percentage, necrosis extent, cellularity, and RIN were assessed, respectively.Long-term storage at -80°C for 12 years did not adversely affect RNA integrity and histomorphology. RNA integrity was also not influenced by tumor location, estimated blood loss, cold/warm ischemia time, and surgical approach. However, RIN values were significantly correlated with the tumor cell percentage and stroma percentage. Gastric cancer tissues with higher tumor cell percentage or lower stroma percentage had higher RIN values.RNA quality of fresh-frozen gastric cancer tissues is influenced by clinical and histological parameters. Standard tissue collection procedure and histological quality control remain essential for tissue biobanking.
Published: 2018

26. Competitive Behavior and Risk Transmission among Internet Financial Platforms Based on Network Diffusion Models

Author: Zhang Sheng
Subjects: Finance, History, business.product_category, Financial innovation, business.industry, Business model, Computer Science Applications, Education, Competition (economics), Transmission (telecommunications), Competitive behavior, Scale (social sciences), The Internet, Pager, business
Abstract: The differences in business models, lending products and risk control of lending products of Internet financial lending platforms have led to the disorderly growth of Internet Financial platforms in China for a long time. With the voice of financial innovation, the number of platforms and the scale of transactions have increased significantly. In this pager, we will enter the network diffusion model to analyze the physical and statistical characteristics of the competitive behavior and fierce competition behavior of the Internet financial lending platform, and understand the overall characteristics of the Internet P2P lending platform under the specific platform classification, and finally put forward the corresponding policy suggestions.
Published: 2021

27. Strain Distribution of Ge/Si Quantum Dots in Array

Author: Yu Yang, Shao Ying Ke, Tao Pan, Chong Wang, and Zhang Sheng Shi
Subjects: Work (thermodynamics), Materials science, Strain (chemistry), business.industry, Mechanical Engineering, Condensed Matter Physics, symbols.namesake, Mechanics of Materials, Strain distribution, Quantum dot, Green's function, Quantum mechanics, symbols, Optoelectronics, General Materials Science, business, Electronic properties
Abstract: Strain has valuable effects on the formation of the growth and the photo electronic properties of Ge/Si quantum dots (QDs), and it is important to understand the distribution of strain and the other properties of Ge/Si QDs theoretically. In this work, a method based on the Green’s function technique is used to solve elastic equations and the strain of different QDs shapes is calculated by a numerical algorithm. The strain of QDs which array in different density is analyzed and the strain of hemispherical QDs is compared with pyramidal QDs in calculations.
Published: 2016

28. Observational Studies in Anesthesiology

Author: Zhang-Sheng Yu
Subjects: medicine.medical_specialty, Matching (statistics), Evidence-based practice, Operations research, business.industry, law.invention, Randomized controlled trial, law, Anesthesiology, medicine, Observational study, Medical physics, Attribution, business, License, Cohort study
Abstract: Aim of review: Through this review of observational study designs, we aim to advocate the use of non-interventional studies for clinical researches in anesthesiology.Method: We discussed the statistical considerations in selecting study design and the analysis. The major consideration is to reduce the bias and improvement efficiency. Reduction of bias through design (e.g.: randomization, matching etc.) is more preferable. However, a more objective design such as the randomized clinical trial is often not feasible. In this case, observational study designs accompanied with more advanced and complete statistical analysis can reduce the bias and improve efficiency. The cross-sectional, case-control, and cohort study designs are discussed with the advantages and limitations.Recent findings: With the rapid development of clinical researches in anesthesiology in past 15 years, observational studies are still yet to be understood and utilized.Summary: Through this review, we expect to raise more attention in the use of observational studies in clinical researches in the area of anesthesiology. Citation: Zhang-Sheng Yu. Observational studies in anesthesiology. J Anesth Perioper Med 2016; 3: 102-8. doi: 10.24015/JAPM.2016.0013This is an open-access article, published by Evidence Based Communications (EBC). This work is licensed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium or format for any lawful purpose. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Published: 2016

29. Single infrared stripe nonuniformity correction algorithm based on adaptive diffusion models

Author: 刘云峰 Liu Yun-feng, 杨小冈 Yang Xiao-gang, 陈世伟 Chen Shi-wei, and 张胜修 Zhang Sheng-xiu
Subjects: Correction algorithm, Physics, Optics, business.industry, Infrared, Diffusion (business), business, Atomic and Molecular Physics, and Optics
Published: 2016

30. A method of battery capacity prediction based on fuzzy logic and Neural networks

Author: Zhang Sheng, Xie Qi, Shan Cheng, He Tingting, and Xu Zhipeng
Subjects: Artificial neural network, Computer science, business.industry, Artificial intelligence, Battery capacity, business, Fuzzy logic
Abstract: With the wide use of lithium battery, its online monitoring and residual capacity prediction have been paid much attention. There are two methods for predicting the residual capacity of lithium batteries, namely model method and data-driven method. The traditional model method requires in-depth understanding of the material characteristics and aging mechanism of the battery. However, it is difficult to establish an accurate model due to the complex electrochemical reactions in the battery and the vulnerability to external factors. The data-driven law has been applied more widely because of its good applicability and flexibility. This paper presents a method of battery capacity prediction based on fuzzy logic and neural networks. The lithium battery data published by PCoE are selected for the test, and the results show that the prediction error of the method for the residual capacity of single battery is less than 2%, which indicates that the method has a good applicability for the complex nonlinear system of lithium battery pack, and can obtain accurate battery capacity prediction value, and it has a good application prospect.
Published: 2020

31. Inverse Optimal Stabilization for a Class of Spacecraft Rendezvous Problems

Author: Zhang Sheng, Liao Fei, Ji Haibo, and Li Kun
Subjects: Lyapunov function, 020301 aerospace & aeronautics, 0209 industrial biotechnology, Elliptic orbit, Spacecraft, Computer science, Group (mathematics), business.industry, Control (management), Inverse, 02 engineering and technology, Optimal control, symbols.namesake, 020901 industrial engineering & automation, 0203 mechanical engineering, Control theory, Stability theory, symbols, business
Abstract: This paper investigates the spacecraft rendezvous problem with target spacecraft in an arbitrary elliptical orbit. The Lawden equations are used to describe the relative motion of two spacecrafts. An inverse optimal method is introduced to deal with the stabilization problem. With Lyapunov analysis, a group of inverse optimal control laws is presented, which guarantees that, the whole system is asymptotically stable, and at the same time, is optimal with respect to a performance index incorporating a positive penalty on the states and the control input. Further- more, a group of modified control laws is obtained, which stabilizes the closed-loop system under input constraints. Simulation results are provided to illustrate the effectiveness of the proposed approach.
Published: 2018

32. Corrigendum to 'The Epidemiology of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis in China'

Author: Yang, Shang-Chen, Hu, Sindy, Zhang, Sheng-Zheng, Huang, Jin-wen, Zhang, Jing, Ji, Chao, and Cheng, Bo
Subjects: lcsh:Immunologic diseases. Allergy, medicine.medical_specialty, business.industry, Immunology, Stevens johnson, General Medicine, medicine.disease, Dermatology, Toxic epidermal necrolysis, 03 medical and health sciences, stomatognathic diseases, 0302 clinical medicine, Epidemiology, medicine, Immunology and Allergy, Corrigendum, business, lcsh:RC581-607, 030215 immunology, Research Article
Abstract: Stevens-Johnson syndrome and toxic epidermal necrolysis (SJS/TEN) are life-threatening disease. However, there are only few epidemiologic studies of SJS/TEN from China. To analyze the clinical characteristics, causality, and outcome of treatment for SJS/TEN in China, we reviewed case reports of patients with SJS/TEN from the China National Knowledge Infrastructure (CNKI) and Wanfang database from 2006 to 2016 and patients with SJS/TEN who were admitted to the First Affiliated Hospital of Fujian Medical University during the same period. There were 166 patients enrolled, including 70 SJS, 2 SJS/TEN overlap, and 94 TEN. The most common offending drugs were antibiotics (29.5%) and anticonvulsants (24.1%). Carbamazepine, allopurinol, and penicillins were the most common single offending drugs (17.5%, 9.6%, and 7.2%). Chinese patent medicines accounted for 5.4%. There were 76 (45.8%) patients receiving systemic steroid and intravenous immunoglobulin (IVIG) in combination therapy, especially for TEN (80.3%), and others were treated with systemic steroids alone. Mortality rate of combination treatment comparing with steroid alone in TEN patients had no statistical significance. In conclusion, carbamazepine and allopurinol were the leading causative drugs for SJS/TEN in China. Combination of IVIG and steroids is a common treatment for TEN, but its efficacy in improving mortality needs further investigation.
Published: 2018

33. A DC/DC modular-multilevel converter for DC grid

Author: Bingjianyang, He Zhiyuan, Wei Xiaoguang, Gao Yang, and Zhang Sheng
Subjects: Forward converter, Engineering, Wind power, business.industry, Flyback converter, 020209 energy, 020208 electrical & electronic engineering, Ćuk converter, Electrical engineering, 02 engineering and technology, Power optimizer, 0202 electrical engineering, electronic engineering, information engineering, Grid connection, Charge pump, Electronic engineering, business, Low voltage
Abstract: A modular-multilevel (MMC) DC/DC converter is proposed in this paper, which can be deployed to inter-connect DC grid of different voltage levels, especially in the new energy sources such as wind power and solar power grid connection. Its key features include: 1) step-up and step-down operation. 2) bidirectional power flowing. 3) bi-directional fault blocking similar to a DC breaker. The operation principle of DC/DC MMC is analyzed, and a control strategy is proposed to ensure power balance of every sub module capacitor. Simulations are performed with Matlab-Simulik to validate the principle of operation and the proposed control strategy.
Published: 2017

34. Research and Application of RtCM Techniques in CPR1000 Nuclear Power Plant

Author: Yang Xiaojin, Zhang Sheng, and Chen Yu
Subjects: Computer science, business.industry, Nuclear engineering, media_common.quotation_subject, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Nuclear power, Economic benefits, law.invention, Risk analysis (engineering), law, Technical analysis, Nuclear power plant, Quality (business), business, Reliability (statistics), Maintenance management, media_common
Abstract: By combining reliability-centered maintenance (RCM) analysis approach, which has been implemented by domestic and international nuclear power plants for years and the development of related maintenance optimization techniques, this article analyzes deficiencies of traditional RCM analysis and provides the improved RtCM to strengthen technical analysis and improve analysis efficiency and quality. This article also provides cases in which RtCM is applied into CPR1000 nuclear power plant. It has the extraordinary significance for establishing a sound maintenance management program and maintenance optimization program in nuclear power plants and improving the safety, reliability, and economic benefits of plant’s operations. Meanwhile, this paper provides an important direction and thought for the development of domestic and international maintenance optimization techniques.
Published: 2017

35. Girder crack of concrete single pylon cable-stayed bridge

Author: Zuo Yong-jian, Li Deng, Zhang Sheng, and Ying Li-rong-jun
Subjects: Stress (mechanics), Cantilever, Local analysis, Computer science, business.industry, Girder, Box girder, Pylon, Structural engineering, Reinforcement, business, Bridge (interpersonal)
Abstract: Taking the reinforcement and maintenance project of a concrete cable-stayed bridge as the background, aiming at the stress cracks on the web of the box girder of the main bridge after several years of operation, starting from the actual situation of design and construction, the integral calculation model of the bridge is established by Midas Civil and the local analysis and calculation model of the main girder is established by the general finite element software. Four kinds of analysis and calculation models are analyzed. Finally, it is shown that the web cracks of the bridge are caused by the cable tension when the bridge is cantilevered. On this basis, the concrete and feasible bonded steel plate method is proposed to repair and strengthen the cracks, which is of certain reference significance for the reinforcement and maintenance of the same type of bridge cracks in the future.
Published: 2019

36. Electro-static discharge failure analysis and design optimization of gate-driver on array circuit in InGaZnO thin film transistor backplane

Author: Ma Qun-Gang, Zhou Liu-Fei, Zhang Sheng-Dong, Ma Guo-Yong, and Yu Yue
Subjects: Materials science, Electrostatic discharge, business.industry, Thin-film transistor, Gate driver, General Physics and Astronomy, Optoelectronics, Insulator (electricity), business, Space charge, AND gate, Active layer, Threshold voltage
Abstract: There is a risk of InGaZnO thin film transistor (IGZO TFT) failure, especially electro-static discharge (ESD) damage of gate driver on array (GOA) circuits, due to the combination of Cu interconnect, InGaZnO (IGZO) active layer and SiNx/SiO2 insulating layer used to realize large-scale ultra-high resolution display. It is found that the IGZO TFT damage position caused by ESD occurs between the source/drain metal layer and the gate insulator. The Cu metal of gate electrode diffuses into the gate insulator of SiNx/SiO2. The closer to the ESD damage area the IGZO TFT is, the more serious the negative bias of its threshold voltage (Vth) is until the device is fully turned on. The IGZO TFT with a large channel width-to-length ratio(W/L) in GOA circuit results in a serious negative bias of threshold voltage. In this paper, the ESD failure problem of GOA circuit in the IGZO TFT backplane is systematically analyzed by combining the ESD device level analysis with the system level analysis, which combines IGZO TFT device technology, difference in metal density between GOA region and active area on backplane, non-uniform thickness distribution of gate metal layer and gate insulator and so on. In the analysis of ESD device level, we propose that the diffusion of Cu metal from gate electrode into SiNx/SiO2 leads to the decrease of effective gate insulator layer, and that the built-in space charge effect leads to the decrease of the anti-ESD damage ability of IGZO TFT. In the analysis of ESD system level, we propose that the density of metal layers in GOA region is 4.5 times higher than that in active area of display panel, which makes the flatness of metal layer in GOA region worse. The non-uniformity of thickness of Cu metal film, SiNx film and SiO2 film around glass substrate lead to the position dependence of the anti-ESD damage ability of IGZO TFT in the GOA region. If there is a transition zone of film thickness change in IGZO TFT with large area, the ESD failure will occur easily. Accordingly, we propose to split large area IGZO TFT into several sub-TFT structures, which can effectively improve the ESD failure.
Published: 2019

37. Electro-static discharge protection analysis and design optimization of interlayer Cu interconnection in InGaZnO thin film transistor backplane

Author: Ma Qun-Gang, Chen Xu, Wang Hai-Hong, Wang Tingting, and Zhang Sheng-Dong
Subjects: Interconnection, Electrostatic discharge, Materials science, business.industry, General Physics and Astronomy, 01 natural sciences, Backplane, Thin-film transistor, 0103 physical sciences, Optoelectronics, Breakdown voltage, 010306 general physics, business, AND gate, Voltage, Electronic circuit
Abstract: The InGaZnO thin film transistor (IGZO TFT) backplane combined with Cu interconnection has nearly an order of magnitude lower in the ability to withstand voltage than that of traditional a-Si TFT backplane on the production line. The breakdown voltage of Mo/Cu interconnection between data line and gate line is only about 60% of that of traditional a-Si TFT backplane. The electrostatic discharge (ESD) breakdown of Mo/Cu:SiNx/SiO2:Mo/Cu structure has become an important factor affecting the normal display of IGZO TFT ultra high definition (UHD) panel. We find that the anti-ESD damage ability of IGZO TFT devices needs matching with the anti-ESD damage ability of interlayer Cu interconnection in order to achieve a high-robustness IGZO TFT backplane. The position of ESD damage in IGZO TFT backplane is commonly in the climbing place where the data line crosses the scanning line. In this paper, a Cu diffusion model is proposed to explain the mechanism for the ESD failure of interlayer Cu interconnection. The Cu metal in gate line diffuses into SiNx/SiO2 gate insulator, and Cu metal at the corner of data line, where the date line crosses the gate line, diffuses into SiO2 film on the date line. The selection conditions of three kinds of protection architectures for ESD protection circuits around Cu interconnection, i.e. R-type, R-half-type, and Diode-type protection architectures, are proposed. On the basis of process optimization such as Cu metal film forming and Cu metal interface treatment, an ESD protection method for the Cu interconnection periphery of IGZO TFT backplane with high robustness is proposed. For the stable production process of IGZO TFT, combined with the design window of ESD protection circuit, the peripheral ESD protection circuit of Cu interconnect is designed with diode-type protection circuit on the IGZO TFT backplane of large-sized UHD and QUHD panel, which effectively improves the effect of interlayer Cu interconnection of IGZO TFT backplane on ESD damage. Through the production verification, it is proved that the metal diffusion of Cu interconnection on IGZO TFT backplane is the fundamental reason for reducing the anti-ESD damage ability of Mo/Cu:SiNx/SiO2:Mo/Cu structure. The rationality of the proposed ESD damage model for interlayer Cu interconnection is verified, which provides a theoretical basis for subsequent IGZO TFT backplane design with high robustness.
Published: 2019

38. Light rays in Fourier domain

Author: Shao Meng, Zhang Shu-He, Zhang Sheng-Zhao, and Zhou Jin-Hua
Subjects: Physics, Geometrical optics, business.industry, Astrophysics::High Energy Astrophysical Phenomena, Plane wave, General Physics and Astronomy, Optical field, Ray, Angular spectrum method, symbols.namesake, Optics, Fourier transform, symbols, Light beam, Caustic (optics), business
Abstract: Establishing a universal model to characterize the relationship between light rays and optical waves is of great significance in optics. The ray model provides us with an intuitive way to study the propagation of beams as well as their interaction between objects. Traditional ray model is based on the normal of a beam wave front. The normal vector is defined as the direction of ray. However, it fails to describe the relationship between light ray and optical wave in the neighborhood of focus or caustic lines/surface since light ray in those regions are no longer perpendicular to the wavefront. In this work, the ray model of a light beam is built according to its Fourier angular spectrum, where the positions of rays can be determined by the gradient of the phase of the Fourier angular spectrum. On the other hand, the Fourier angular spectrum of a light beam can be reconstructed through the ray model. Using Fourier angular spectra, we construct the ray model of two typical beams including the Airy beam and the Cusp beam. It is hard to construct ray model directly from the optical field of these beams. In this ray model, the information about ray including direction and position involves the propagation properties of light beams such as self-accelerating. In addition, we demonstrate that the optical field of the focused plane wave can be reconstructed by the ray model in Fourier regime, and the optical field in spatial domain can be obtained by inverse Fourier transform. Simulation results are consistent with the results from Debye’s method. Finally, the high-dimensional ray model of light beams is elaborated in both spatial and spectral regime. Combined with focused plane wave, Airy beam and rays in quadratic gradient-index waveguide, our results show that the ray model actually carries the information about optical field in both spatial and Fourier domain. Actually, the traditional ray model is just a spatial projection of the high-dimensional ray model. Hence, when traditional ray model fails at the focus or caustic lines/surface, it is able to obtain the spectrum of the corresponding optical field from the Fourier domain, and then obtain the field distribution in spatial domain by inverse Fourier transform.
Published: 2019

39. Image Registration Method Based on Optimized SURF Algorithm

Author: Zhang Sheng, Qian Mingsi, Ji Changgang, Zhou Meng, Liu Yuli, and Li Peihua
Subjects: Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, General Engineering, Scale-invariant feature transform, Image registration, Experimental data analysis, Image (mathematics), Dimension (vector space), Computer vision, Point (geometry), Artificial intelligence, business, Blossom algorithm
Abstract: In order to solve the time consuming problem of image registration based on the traditional SURF algorithm, the image registration method based on the optimized SURF algorithm is proposed. Firstly, the image corner points are extracted by the Shi-Tomasi algorithm, then, the SURF algorithm is used to generate the corner point descriptors and the sparse principle algorithm is used to reduce the dimension of the corner point descriptors. Finally, the bidirectional matching algorithm is used to match. Through the experimental data analysis, the image registration method based on the optimized SURF algorithm is nearly the same in image registration accuracy in comparison with the traditional SIFT algorithm, the traditional SURF algorithm and the other four optimized algorithms, but the time consuming of image registration is decreased by 79.09%, 47.74%, 66.25%, 50.79%, 21.43% and 5.13%, respectively, verifying the instantaneity and effectiveness of the algorithm.
Published: 2019

40. Photoelectric Properties of the Doped Silicon with Carbon Family Elements

Author: Zhang Sheng Shi, Peng Fei Ji, Chong Wang, Jie Yang, and Yu Yang
Subjects: Materials science, Silicon, business.industry, Doping, General Engineering, Nanocrystalline silicon, chemistry.chemical_element, Strained silicon, Nanotechnology, Photoelectric effect, Absorbance, chemistry, Microelectronics, Optoelectronics, business, Carbon
Abstract: Today, silicon material plays an irreplaceable role in microelectronic of the information industry, however it don`t have a good emission characteristics. In order to explore the emission character, we calculated the electrons structure, absorbance of silicon doped with C, Si, Ge, Sn and Pb by the first-principles methods.
Published: 2013

41. Effect of Surface Passivation on Optical and Electronic Properties of Ultrathin Single-Layer Silicon Nanosheets Compared to Bulk Silicon

Author: Tao Pan, Yu Yang, Zhang Sheng Shi, Chong Wang, and Peng Fei Ji
Subjects: Materials science, Passivation, Silicon, business.industry, Binding energy, General Engineering, chemistry.chemical_element, Electronic structure, Pseudopotential, chemistry, Computational chemistry, Density of states, Optoelectronics, Density functional theory, Electronic band structure, business
Abstract: The binding energy, electronic structure and optical properties of ultrathin single-layer silicon nanosheets passivated with H-, H3C-, H2-N and HS-cluster were calculated using density functional theory based on plane-wave ultra-soft pseudopotential respectively. Firstly, the most stable configuration was selected from passivated configurations according to the lowest energy principle after calculating their total energies. Secondly the density of state and the band structure of the different passivated systems were calculated. It was found that different passivation clusters could affect the forbidden band, furthermore the passivated HS-cluster could notably decrease the width of forbidden band through electron transfer. Finally, the light absorption and reflection properties were also investigated. All results were conducive to the development of silicon-based optoelectronic devices.
Published: 2013

42. Design of Intelligent Power Terminal System Based on Family Heterogeneous Network

Author: Zhang Sheng, Wentong Zhang, Li Hou'en, Rao Zhuyi, and Zhang Yunxiang
Subjects: Scheme (programming language), WirelessHART, Exploit, business.industry, Computer science, Electrical equipment, Embedded system, Software design, business, Intelligent control, Protocol (object-oriented programming), computer, Heterogeneous network, computer.programming_language
Abstract: In order to achieve intelligent control of electrical equipment and save electricity, in this paper, we design an intelligent power terminal system based on family heterogeneous networks. Firstly, it exploits the function of intelligent power terminal system for protocol design, which is compatible with WirelessHART protocol, PLC communication and Ethernet communication. Then the hardware and software design of the system are described in detail. Finally, we verify the effectiveness of the proposed scheme through the simulations.
Published: 2018

43. Design of WirelessHART Protocol Stack Based on Qp Architecture

Author: Rao Zhuyi, Zhang Sheng, Zhang Yunxiang, Yu Yue, Wentong Zhang, and Li Hou'en
Subjects: WirelessHART, Finite-state machine, Computer science, business.industry, 020209 energy, Reliability (computer networking), 02 engineering and technology, Reuse, Protocol stack, Software, Embedded system, 0202 electrical engineering, electronic engineering, information engineering, Data as a service, business, Protocol (object-oriented programming)
Abstract: WirelessHART protocol is mainly used in the field of industrial process control, and is known for its simplicity, reliability and security. The WirelessHART data service is made up of a series of events. The communication between different state machines is also delivered through events. At the same time, each layer of protocol is composed of several state machines. Therefore, the WirelessHART protocol stack can be designed based on the Qp event-driven architecture. In this paper, WirelessHART software protocol stack is divided into seven active objects, in which each object maintains the corresponding functions. It is implemented active objects through the state machine, which can improve the reuse of behavior and save ROM resources.
Published: 2018

44. The Expression of Prostate Apoptosis Response-4 in Striatum of A Rat Model of Depression Induced by Chronic Stress

Author: Zhu Xiong-Zhao, Cai Lin, Zhang Sheng, Zhang Yi, and Peng Su-Fang
Subjects: medicine.medical_specialty, Endocrinology, business.industry, Internal medicine, Rat model, medicine, PAWR, Chronic stress, Striatum, business, General Psychology, Depression (differential diagnoses)
Published: 2013

45. Improvement and Application on the Method of Hole Enlargement Correction about GR Curve Based on Atlas Logging Tool

Author: Zhang Sheng, Zhao Shiquan, Bie Jing, Li Kai, and Xia Zhu
Subjects: Engineering drawing, Engineering, Atlas (topology), business.industry, Computer graphics (images), Logging, business
Published: 2016

46. An Enhanced Dynamic Priority Packet Scheduling Algorithm in Wireless Sensor Networks

Author: Wang Yantong and Zhang Sheng
Subjects: Rate-monotonic scheduling, Earliest deadline first scheduling, Computer science, business.industry, Distributed computing, 020206 networking & telecommunications, 02 engineering and technology, Dynamic priority scheduling, Deadline-monotonic scheduling, Priority inheritance, Multilevel queue, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Priority queue, business, Priority ceiling protocol, Computer network
Abstract: Recently, many application scenarios like military surveillance, infrastructure protection and environmental monitoring have been accomplished by wireless sensor networks (WSNs). In some cases, applications in WSNs are time restricted, leading to the need of real-time scheduling of data packets. Nowadays, many communication package schedule policies in WSNs apply algorithms in view of First-Come-First-Served (FCFS). However, there are many problems in FCFS, including node-to-node communication packages transport delay as well as starvation in real-time packages. Besides, these schemes cannot respond dynamic inputs quickly. To solve these problems, this paper provides an enhanced dynamic priority packet scheduling algorithm. In the proposed algorithm, there are three different kinds of priority ready queues in every sensor node. Higher priority queue stores real-time communication packages, while middle priority queue stores non-real time data packets which need to be forwarded to other nodes, and lower priority queue stores non-real time packages whose destination is local node. Besides, if non-real time data packets are processing, real-time packets can preempt the usage rights of hardware resource. The scheduling sequence in higher priority is based on the priority of packets, still scheduling sequence in the other queues is FCFS. At last, simulation results illustrate that the proposed scheduling algorithm is better than FCFS and dynamic multilevel queue scheduling scheme when it comes to node-to-node communication packages transport delay.
Published: 2016

47. Effect of Melatonin and Calmodulin in an Idiopathic Scoliosis Model

Author: Zhang-sheng Dai, Long Huang, Qing-Feng Ke, Wen-Hua Wu, Li-jiang He, Yu Chen, and Jun-Zhe Wu
Subjects: medicine.medical_specialty, Article Subject, medicine.medical_treatment, Intraperitoneal injection, lcsh:Medicine, Scoliosis, General Biochemistry, Genetics and Molecular Biology, Group B, Melatonin, 03 medical and health sciences, 0302 clinical medicine, Calmodulin, Oral administration, Internal medicine, Animals, Humans, Medicine, Saline, Lighting, 030222 orthopedics, General Immunology and Microbiology, business.industry, lcsh:R, General Medicine, medicine.disease, Tryptamines, Rats, Disease Models, Animal, Tamoxifen, Endocrinology, Anesthesia, Female, business, Luzindole, 030217 neurology & neurosurgery, Research Article, medicine.drug
Abstract: Background. To explore influence of continuous illumination, luzindole, and Tamoxifen on incidence of scoliosis model of rats.Methods. Thirty-two one-month-old female rats were rendered into bipedal rats. The bipedal rats were divided into 4 groups: group A by intraperitoneal injection of luzindole and continuous illumination; group B by intraperitoneal injection of luzindole only; group C by intraperitoneal injection of luzindole and oral administration of Tamoxifen; and group D by intraperitoneal injection of equivalent saline. Radiographs were taken at 8th week and 16th week, and incidence and the Cobb angles of scoliosis were calculated. At 16th week, all rats were sacrificed. Before the sacrifice, the levels of calmodulin were measured in each group.Results. At 8th week, scoliosis occurred in groups A and B, with an incidence of 75% and 12.5%, respectively, while rats in group C or D had no scoliosis. At 16th week, scoliosis incidences in groups A and B were 57% and 62.5%, respectively. No scoliosis occurred in group C or D. Calmodulin in platelets in group B was significantly different, compared with groups A and D. There was no significant difference in calmodulin in platelets in groups B and C.Conclusion. By intraperitoneal injection of luzindole in bipedal rats, scoliosis rat models could be successfully made. Under light, incidence of scoliosis may be increased at an early period but it is reversible. Tamoxifen can suppress natural process of scoliosis.
Published: 2016
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48. Design of high-accuracy multiple-function dual-path frequency meter

Author: Jianrong Jiang, Zhang Sheng, and Chen Jian
Subjects: Frequency synthesizer, Microcontroller, business.industry, Computer science, Measuring principle, Computer data storage, Electrical engineering, Square wave, Frequency standard, business, Signal, Frequency meter
Abstract: On the basis of equal-accuracy frequency measurement principle, this paper takes AT89S52 microcontroller as core and designs a high-accuracy multi-function dual-path frequency meter which can measure the frequency of two circuits of signal with a range of frequency of 1Hz-10MHz at the same time, and be equipped with storage and query function as well provide two circuits (1K and 1M) of square wave signal source. This paper adopts modular design: the hardware module consists of control module, amplification and shaping module, display module, storage module, and standard square wave signal source module, etc., while the software module consists of frequency range judgment, frequency measurement, and display of frequency value. The experiment shows that this instrument has low cost, high accuracy, and strong function, with good application prospect.
Published: 2015

49. Game analysis of technology innovation alliance stability based on knowledge transfer

Author: Yun-Hong Hao and Zhang-Sheng Jiang
Subjects: Knowledge management, General Computer Science, business.industry, Applied Mathematics, Perspective (graphical), Stability (learning theory), General Decision Sciences, Flexibility (personality), Computational Mathematics, Alliance, Complete information, Modeling and Simulation, Selection (linguistics), Economics, business, Game theory, Knowledge transfer
Abstract: Under incomplete information, a game model is used to investigate the influence of ownership level and learning ability on the stability of technology innovation alliance from the perspective of knowledge transfer. The decision-making processes of involved parties are divided into two stages in the model. In the first stage, the firm possessing advanced technology decides on the level of knowledge it transfers to its alliance partner. In the second stage, the decision of the parties on whether to maintain or terminate the alliance is based on two factors: the level of knowledge learned and profits gained. The outcomes of the Cournot---Nash equilibrium in the model can reveal when the parties decide to maintain or terminate the alliance. The model explores the status of alliance stability under different ownership levels and learning abilities to provide theoretical support for the selection of optimal dynamic competitive-cooperative relationship and managerial flexibility.
Published: 2011

50. Temporal Power Profiles Remote Precise Measurement of Suppressing Frequency Modulation to Amplitude Modulation Conversion

Author: 黄家鹏 Huang Jia-peng, 卢兴华 Lu Xinghua, 汪小超 Wang Xiaochao, 张生佳 Zhang Sheng-jia, 范薇 Fan Wei, 潘雪 Pan Xue, 李娆 Li Rao, and 石志东 Shi Zhidong
Subjects: Physics, Amplitude modulation, Optics, business.industry, business, Frequency modulation, Atomic and Molecular Physics, and Optics, Power (physics)
Published: 2018

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