173 results on '"WU Min"'
Search Results
2. Structure and performance evaluation on aged SBS modified bitumen with bi- or tri-epoxy reactive rejuvenating system
- Author
-
Xu, Xiong, Yu, Jianying, Xue, Lihui, Zhang, Canlin, He, Bianyang, and Wu, Min
- Subjects
Bituminous materials -- Properties -- Analysis ,Business ,Construction and materials industries - Abstract
ABSTRACT To cater for the concept of global green development, it is of importance, in the bituminous road domain, to achieve the objective of the high-quality rejuvenation of waste bitumen. [...]
- Published
- 2017
- Full Text
- View/download PDF
3. Real-time adversarial GAN-based abnormal crowd behavior detection
- Author
-
Yang Lin, Kou Jinqiao, Qinsheng Du, Wu Min, Nianfeng Li, Qiulei Han, and Haofeng Wang
- Subjects
Pointwise ,Discriminator ,Computer science ,business.industry ,020207 software engineering ,Pattern recognition ,02 engineering and technology ,Convolution ,Acceleration ,Pattern recognition (psychology) ,0202 electrical engineering, electronic engineering, information engineering ,Benchmark (computing) ,020201 artificial intelligence & image processing ,Artificial intelligence ,Crowd psychology ,business ,Encoder ,Information Systems - Abstract
Detecting abnormal events in the crowd is a challenging problem. Insufficient samples make those traditional model-based methods cannot cope with sophisticated anomaly monitoring. Therefore, we design a real-time generative adversarial network plus an add-on encoder to deal with the continually changing environment. After the generator reconstructs the compressed pattern to generate the design to the latent vector, a discriminator is used to construct better videos by minimizing the adversarial loss function. We calculated the abnormal score by the distance between the two underlying patterns encoded by the first and the second encoders. The unusual event is detected when the anomaly score is above the threshold. To accelerate the processing efficiency, we introduced the grouped pointwise convolution method to decrease the computing complexity. The frame-level and video-level experiments on the benchmark dataset show the accuracy and reliance of our approach. The acceleration approach can increase the efficiency of the network with only limited accuracy loss.
- Published
- 2020
- Full Text
- View/download PDF
4. A deep attention-based ensemble network for real-time face hallucination
- Author
-
Wu Min, Ni Zeng, Zhenxing Huang, Dongdong Liu, Jincai Chen, Haofeng Wang, Kou Jinqiao, Yang Lin, and Ping Lu
- Subjects
Face hallucination ,Ensemble forecasting ,business.industry ,Computer science ,Aggregate (data warehouse) ,020207 software engineering ,Pattern recognition ,02 engineering and technology ,Peak signal-to-noise ratio ,Feature (computer vision) ,Hallucinating ,Face (geometry) ,Pattern recognition (psychology) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,Information Systems - Abstract
Face hallucination (FH) aims to reconstruct high-resolution faces from low-resolution face inputs, making it significant to other face-related tasks. Different from general super resolution issue, it often requires facial priors other than general extracted features thus leading to fusion of more than one kind of feature. The existing CNN-based FH methods often fuse different features indiscriminately which may introduce noises. Also the latent relations among different features which may be useful are taken into less consideration. To address the above issues, we propose an end-to-end deep ensemble network which aggregates three extraction sub-nets in attention-based manner. In our ensemble strategy, both relations among different features and inter-dependencies among different channels are dug out through the exploitation of spatial attention and channel attention. And for the diversity of extracted features, we aggregate three different sub-nets, which are the basic sub-net for basic features, the auto-encoder sub-net for facial shape priors and the dense residual attention sub-net for fine-grained texture features. Conducted ablation studies and experimental results show that our method achieves effectiveness not only in PSNR (Peak Signal to Noise Ratio) and SSIM (Structural Similarity Index) metrics but more importantly in clearer details within both key facial areas and whole range. Also results show that our method achieves real-time hallucinating faces by generating one image in 0.0237s.
- Published
- 2020
- Full Text
- View/download PDF
5. Characteristics of pervious concrete using incineration bottom ash in place of sandstone graded material
- Author
-
Wu, Min-Hao, Lin, Chiou-Liang, Huang, Wei-Chieh, and Chen, Jing-Wen
- Subjects
Concrete -- Usage ,Incineration -- Analysis ,Sandstone -- Usage ,Permeability -- Analysis ,Business ,Construction and materials industries - Abstract
ABSTRACT The effects of replacing sandstone with incineration bottom ash and different water-to-cement ratios and aggregate sizes in pervious concrete bricks preparation were investigated. Among the various permeable brick specimens, [...]
- Published
- 2016
- Full Text
- View/download PDF
6. Long-term mechanical stability of cemented incineration bottom ash
- Author
-
Weng, Meng-Chia, Wu, Min-Hao, Lin, Chiou-Liang, Syue, Da-Ken, and Hung, Ching
- Subjects
Concrete -- Analysis -- Mechanical properties ,Cement -- Analysis -- Mechanical properties ,Business ,Construction and materials industries - Abstract
ABSTRACT [Al.sub.2][O.sub.3] is a major constituent of municipal solid waste (MSW) bottom ash that may cause swelling and weakening failure. This paper explores the influence of [Al.sub.2][O.sub.3] on the long-term [...]
- Published
- 2015
- Full Text
- View/download PDF
7. Organic salt mediated growth of phase pure and stable all-inorganic CsPbX3 (X = I, Br) perovskites for efficient photovoltaics
- Author
-
Wu Min, Liu Wenhua, Yixin Zhao, Xingtao Wang, Taiyang Zhang, and Yong Wang
- Subjects
chemistry.chemical_classification ,Multidisciplinary ,Materials science ,Methylamine ,business.industry ,Salt (chemistry) ,Halide ,Crystal growth ,010502 geochemistry & geophysics ,01 natural sciences ,law.invention ,chemistry.chemical_compound ,chemistry ,Chemical engineering ,law ,Photovoltaics ,Phase (matter) ,Crystallization ,business ,0105 earth and related environmental sciences ,Perovskite (structure) - Abstract
All-inorganic CsPbX3 (X = I, Br) perovskites without organic component are promising for long-term stability but face main challenges of facile fabrication and phase stability. Here we discover a general organic methylamine acetate salt mediated growth method to deposit high quality phase pure and stable CsPbX3 (X = I, Br) perovskite films via a novel precursor consisting of stoichiometric cesium acetate (CsAc), methylamine halide (MAX) and lead halide (PbX2). Interestingly, these organic salts of CsAc and MAX could efficiently promote the crystallization process especially lower the crystallization temperature, but do not introduce the incorporation of organic MA cation into all-inorganic CsPbX3 perovskites. These phase pure and stable CsPbX3 perovskites with tunable band gaps can be fabricated into high efficiency photovoltaics. Our organic salt mediated growth of all-inorganic perovskite not only reveals the all-inorganic CsPbX3 perovskite’s unique crystal growth mechanism but also demonstrates their promising application for photovoltaics.
- Published
- 2019
- Full Text
- View/download PDF
8. Application of water vapor sorption measurements for porosity characterization of hardened cement pastes
- Author
-
Wu, Min, Johannesson, Bjorn, and Geiker, Mette
- Subjects
Porosity -- Chemical properties -- Research ,Adsorption -- Chemical properties -- Research ,Cement -- Chemical properties ,Business ,Construction and materials industries - Abstract
ABSTRACT Water vapor sorption can be used to study important properties of porous materials including specific surface area and pore size distribution (PSD). However, the data analysis is somewhat inconsistent [...]
- Published
- 2014
- Full Text
- View/download PDF
9. Intelligent decoupling control of gas collection process of multiple asymmetric coke ovens
- Author
-
Wu, Min, Yan, Jin, She, Jin-Hua, and Cao, Wei-Hua
- Subjects
Feedback control systems -- Design and construction ,Feedforward control systems -- Design and construction ,Fuzzy algorithms -- Research ,Fuzzy logic -- Research ,Fuzzy systems -- Research ,Fuzzy logic ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
This paper presents a hierarchical intelligent decoupling control method for the gas collection process of three asymmetric coke ovens of an iron and steel company. The process features strong asymmetric coupling, large disturbances, and strong nonlinearity. These characteristics are exploited in the following steps to implement intelligent decoupling control. First, three fuzzy expert controllers and two feedforward controllers stabilize the pressure of each gas collector. Then, the three collectors are divided into two groups based on an analysis of the couplings among them to facilitate decoupling control. An intelligent decoupling control method is used to design intragroup and intergroup decoupling controllers. Finally, expert valve control handles the nonlinearity of butterfly valves, and a multirate sampling strategy further improves the control performance. The results of actual runs show that the system satisfactorily performs the intelligent decoupling control of the gas pressures of the coke ovens, sufficiently suppresses disturbances, and accurately stabilizes the pressures. Index Terms--Asymmetric coke ovens, decoupling control, expert control, feedback control, feedforward control, fuzzy control, gas collection process, gas pressure, multirate sampling.
- Published
- 2009
10. Integrated hybrid-PSO and fuzzy-NN decoupling control for temperature of reheating furnace
- Author
-
Liao, Ying-Xin, She, Jin-Hua, and Wu, Min
- Subjects
Algorithms -- Usage ,Mathematical optimization -- Research ,Fuzzy algorithms -- Research ,Fuzzy logic -- Research ,Fuzzy systems -- Research ,Neural networks -- Design and construction ,Electric furnaces -- Design and construction ,Electric furnaces -- Control ,Algorithm ,Fuzzy logic ,Neural network ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
This paper presents an integrated method of intelligent decoupling control as a solution to the problem of adjusting the zone temperatures in a regenerative pusher-type reheating furnace. First, a recurrent neural network (NN) for estimating the zone temperatures and a heat transfer model for predicting billet temperatures are built based on data from actual furnace operations. Next, a decoupling strategy in combination with a fuzzy NN is used to control the zone temperatures. The architecture of the controller is based on a fuzzy c-means clustering approach; and the weights are optimized by a hybrid particle swarm optimization (HPSO) algorithm, which integrates the global optimization of density-based selection and the precise search of clonal expansion in an immune system with the fast local search of particle swarm optimization. HPSO is also used to optimize the zone temperature settings to minimize three items: fuel consumption, the temperature gradient within a billet, and the error between the mean and target temperatures of a billet at the furnace exit. The results of actual runs demonstrate the validity of this method. Index Terms--Decoupling control, fuzzy neural network (NN), hybrid particle swarm optimization (HPSO), optimal setting, regenerative pusher-type reheating furnace.
- Published
- 2009
11. Performance evaluation of vehicle-based mobile sensor networks for traffic monitoring
- Author
-
Li, Xu, Shu, Wei, Li, Minglu, Huang, Hong-Yu, Luo, Pei-En, and Wu, Min-You
- Subjects
Algorithms -- Usage ,Global Positioning System -- Usage ,Traffic engineering -- Technology application ,Algorithm ,Global Positioning System ,Technology application ,Business ,Electronics ,Electronics and electrical industries ,Transportation industry - Abstract
Vehicle-based sensors can be used for traffic monitoring. These sensors are usually set with long sampling intervals to save communication costs and to avoid network congestion. In this paper, we are interested in understanding the traffic-monitoring performance that we can expect from such vehicle-based mobile sensor networks, despite the incomplete information provided. This is a fundamental problem to be addressed. A performance evaluation has been carried out in Shanghai, China, by utilizing the vehicle-based sensors installed in about 4000 taxies. Two types of traffic status-estimation algorithms, i.e., the link-based and the vehicle-based, are introduced and analyzed. The results show that estimations of the traffic status based on these imperfect data are reasonably accurate. Therefore, the feasibility of such an application is demonstrated. Index Terms--Global Positioning System (GPS), Intelligent Transportation System (ITS), traffic monitoring, vehicle-based mobile sensor networks.
- Published
- 2009
12. Improved global asymptotical synchronization of chaotic Lur'e systems with sampled-data control
- Author
-
Zhang, Chuan-Ke, He, Yong, and Wu, Min
- Subjects
Chaos theory -- Design and construction ,Liapunov functions -- Evaluation ,Circuit design -- Evaluation ,Numerical analysis -- Methods ,Circuit designer ,Integrated circuit design ,Business ,Computers and office automation industries ,Electronics ,Electronics and electrical industries - Abstract
This brief investigates the global asymptotical synchronization problem of chaotic Lur'e systems with sampled-data control. Based on a time-varying delay system transformed from the sampled-data error system, an augmented Lyapunov functional containing some useful system information is constructed, no useful terms in the derivative of the Lyapunov functional are ignored, and the relationship among the time-varying delay, its upper bound, and their difference is taken into account. A less conservative delay-dependent synchronization criterion expressed in terms of linear matrix inequalities is obtained. The effectiveness and merits of the proposed method are finally illustrated via numerical simulations for Chua's circuits. Index Terms--Chaos, Lyapunov methods, sampled-data systems, synchronization.
- Published
- 2009
13. 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, Gukovskaya, Anna, Gukovsky, Ilya, Gunst, Jan, Günther, Andreas, Guntur, Anyonya, Guo, Chuanyong, Guo, Chun, Guo, Hongqing, Guo, Lian-Wang, Guo, Ming, Gupta, Pawan, Gupta, Shashi Kumar, Gupta, Swapnil, Gupta, Veer Bala, Gupta, Vivek, Gustafsson, Asa, Gutterman, David, H B, Ranjitha, Haapasalo, Annakaisa, Haber, James, Hać, Aleksandra, Hadano, Shinji, Hafrén, Anders, Haidar, Mansour, Hall, Belinda, Halldén, Gunnel, Hamacher-Brady, Anne, Hamann, Andrea, Hamasaki, Maho, Han, Weidong, Hansen, Malene, Hanson, Phyllis, Hao, Zijian, Harada, Masaru, Harhaji-Trajkovic, Ljubica, Hariharan, Nirmala, Haroon, Nigil, Harris, James, Hasegawa, Takafumi, Hasima Nagoor, Noor, Haspel, Jeffrey, Haucke, Volker, Hawkins, Wayne, Hay, Bruce, Haynes, Cole, Hayrabedyan, Soren, Hays, Thomas, He, Congcong, He, Qin, He, Rong-Rong, He, You-Wen, He, Yu-Ying, Heakal, Yasser, Heberle, Alexander, Hejtmancik, J Fielding, Helgason, Gudmundur Vignir, Henkel, Vanessa, Herb, Marc, Hergovich, Alexander, Herman-Antosiewicz, 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, Kanki, Tomotake, Kanneganti, Thirumala-Devi, Kanthasamy, Anumantha, Kanthasamy, Arthi, Kantorow, Marc, Kapuy, Orsolya, Karamouzis, Michalis, Karim, Md Razaul, Karmakar, Parimal, Katare, Rajesh, Kato, Masaru, Kaufmann, Stefan, Kauppinen, Anu, Kaushal, Gur, Kaushik, Susmita, Kawasaki, Kiyoshi, Kazan, Kemal, Ke, Po-Yuan, Keating, Damien, Keber, Ursula, Kehrl, John, Keller, Kate, Keller, Christian, Kemper, Jongsook Kim, Kenific, Candia, Kepp, Oliver, Kermorgant, Stephanie, Kern, Andreas, Ketteler, Robin, Keulers, Tom, Khalfin, Boris, Khalil, Hany, Khambu, Bilon, Khan, Shahid, Khandelwal, Vinoth Kumar Megraj, Khandia, Rekha, Kho, Widuri, Khobrekar, Noopur, Khuansuwan, Sataree, Khundadze, Mukhran, Killackey, Samuel, Kim, Dasol, Kim, Deok Ryong, Kim, Do-Hyung, Kim, Dong-Eun, Kim, Eun Young, Kim, Eun-Kyoung, Kim, Hak-Rim, Kim, Hee-Sik, Kim, Hyung Ryong, Kim, Jeong Hun, Kim, Jin Kyung, Kim, Jin-Hoi, Kim, Joungmok, Kim, Ju Hwan, Kim, Keun Il, Kim, Peter, Kim, Seong-Jun, Kimball, Scot, Kimchi, 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, Livingston, J Andrew, Lizard, Gerard, Lizcano, Jose, Ljubojevic-Holzer, Senka, LLeonart, Matilde, Llobet-Navàs, David, Llorente, Alicia, Lo, Chih Hung, Lobato-Márquez, Damián, Long, Qi, Long, Yun Chau, Loos, Ben, Loos, Julia, López, Manuela, López-Doménech, Guillermo, López-Guerrero, José Antonio, López-Jiménez, Ana, López-Pérez, Óscar, López-Valero, Israel, Lorenowicz, Magdalena, Lorente, Mar, Lorincz, Peter, Lossi, Laura, Lotersztajn, Sophie, Lovat, Penny, Lovell, Jonathan, Lovy, Alenka, Lőw, Péter, Lu, Guang, Lu, Haocheng, Lu, Jia-Hong, Lu, Jin-Jian, Lu, Mengji, Lu, Shuyan, Luciani, Alessandro, Lucocq, John, Ludovico, Paula, Luftig, Micah, Luhr, Morten, Luis-Ravelo, Diego, Lum, Julian, Luna-Dulcey, Liany, Lund, Anders, Lund, Viktor, Lünemann, Jan, Lüningschrör, Patrick, Luo, Honglin, Luo, Rongcan, Luo, Shouqing, Luo, Zhi, Luparello, Claudio, Lüscher, Bernhard, Luu, Luan, Lyakhovich, Alex, Lyamzaev, Konstantin, Lystad, Alf Håkon, Lytvynchuk, Lyubomyr, Ma, Alvin, Ma, Changle, Ma, Mengxiao, Ma, Ning-Fang, Ma, Quan-Hong, Ma, Xinliang, Ma, Yueyun, Ma, Zhenyi, MacDougald, Ormond, Macian, Fernando, MacIntosh, Gustavo, MacKeigan, Jeffrey, Macleod, Kay, Maday, Sandra, Madeo, Frank, Madesh, Muniswamy, Madl, Tobias, Madrigal-Matute, Julio, Maeda, Akiko, Maejima, Yasuhiro, Magarinos, Marta, Mahavadi, Poornima, Maiani, Emiliano, Maiese, Kenneth, Maiti, Panchanan, Maiuri, Maria Chiara, Majello, Barbara, Major, Michael, Makareeva, Elena, Malik, Fayaz, Mallilankaraman, Karthik, Malorni, Walter, Maloyan, Alina, Mammadova, Najiba, Man, Gene Chi Wai, Manai, Federico, Mancias, Joseph, Mandelkow, Eva-Maria, Mandell, Michael, Manfredi, Angelo, Manjili, Masoud, Manjithaya, Ravi, Manque, Patricio, Manshian, Bella, Manzano, Raquel, Manzoni, Claudia, Mao, Kai, Marchese, Cinzia, Marchetti, Sandrine, Marconi, Anna Maria, Marcucci, Fabrizio, Mardente, Stefania, Mareninova, Olga, Margeta, Marta, Mari, Muriel, Marinelli, Sara, Marinelli, Oliviero, Mariño, Guillermo, Mariotto, Sofia, Marshall, Richard, Marten, Mark, Martens, Sascha, Martin, Alexandre, Martin, Katie, Martin, Sara, Martin, Shaun, Martín-Segura, Adrián, Martín-Acebes, Miguel, Martin-Burriel, Inmaculada, Martin-Rincon, Marcos, Martin-Sanz, Paloma, Martina, José, Martinet, Wim, Martinez, Aitor, Martinez, Ana, Martinez, Jennifer, Martinez Velazquez, Moises, Martinez-Lopez, Nuria, Martinez-Vicente, Marta, Martins, Daniel, Martins, Joilson, Martins, Waleska, Martins-Marques, Tania, Marzetti, Emanuele, Masaldan, Shashank, Masclaux-Daubresse, Celine, Mashek, Douglas, Massa, Valentina, Massieu, Lourdes, Masson, Glenn, Masuelli, Laura, Masyuk, Anatoliy, Masyuk, Tetyana, Matarrese, Paola, Matheu, Ander, Matoba, Satoaki, Matsuzaki, Sachiko, Mattar, Pamela, Matte, Alessandro, Mattoscio, Domenico, Mauriz, José, Mauthe, Mario, Mauvezin, Caroline, Maverakis, Emanual, Maycotte, Paola, Mayer, Johanna, Mazzoccoli, Gianluigi, Mazzoni, Cristina, Mazzulli, Joseph, McCarty, Nami, Mcdonald, Christine, McGill, Mitchell, McKenna, Sharon, Mclaughlin, Bethann, McLoughlin, Fionn, McNiven, Mark, McWilliams, Thomas, Mechta-Grigoriou, Fatima, Medeiros, Tania Catarina, Medina, Diego, Megeney, Lynn, Megyeri, Klara, Mehrpour, Maryam, Mehta, Jawahar, Meijer, Alfred, Meijer, Annemarie, Mejlvang, Jakob, Meléndez, Alicia, Melk, Annette, Memisoglu, Gonen, Mendes, Alexandrina, Meng, Delong, Meng, Fei, Meng, Tian, Menna-Barreto, Rubem, Menon, Manoj, Mercer, Carol, Mercier, Anne, MERGNY, Jean-Louis, Merighi, Adalberto, Merkley, Seth, Merla, Giuseppe, Meske, Volker, Mestre, Ana Cecilia, Metur, Shree Padma, Meyer, Christian, Meyer, Hemmo, Mi, Wenyi, Mialet-Perez, Jeanne, Miao, Junying, Micale, Lucia, Miki, Yasuo, Milan, Enrico, Milczarek, Małgorzata, Miller, Dana, Miller, Samuel, Miller, Silke, Millward, Steven, Milosevic, Ira, Minina, Elena, Mirzaei, Hamed, Mirzaei, Hamid Reza, Mirzaei, Mehdi, Mishra, Amit, Mishra, Nandita, Mishra, Paras Kumar, Misirkic Marjanovic, Maja, Misasi, Roberta, Misra, Amit, Misso, Gabriella, Mitchell, Claire, Mitou, Geraldine, Miura, Tetsuji, Miyamoto, Shigeki, MIYAZAKI, Makoto, Miyazaki, Mitsunori, Miyazaki, Taiga, Miyazawa, Keisuke, Mizushima, Noboru, Mogensen, Trine, Mograbi, Baharia, Mohammadinejad, Reza, Mohamud, Yasir, Mohanty, Abhishek, Mohapatra, Sipra, Möhlmann, Torsten, Mohmmed, Asif, Moles, Anna, Moley, Kelle, Molinari, Maurizio, Mollace, Vincenzo, Møller, Andreas Buch, Mollereau, Bertrand, Mollinedo, Faustino, Montagna, Costanza, Monteiro, Mervyn, Montella, Andrea, Montes, L Ruth, Montico, Barbara, Mony, Vinod, Monzio Compagnoni, Giacomo, Moore, Michael, Moosavi, Mohammad, Mora, Ana, Mora, Marina, Morales-Alamo, David, Moratalla, Rosario, Moreira, Paula, Morelli, Elena, Moreno, Sandra, Moreno-Blas, Daniel, Moresi, Viviana, Morga, Benjamin, Morgan, Alwena, Morin, Fabrice, Morishita, Hideaki, Moritz, Orson, Moriyama, Mariko, Moriyasu, Yuji, Morleo, Manuela, Morselli, Eugenia, Moruno-Manchon, Jose, Moscat, Jorge, Mostowy, Serge, Motori, Elisa, Moura, Andrea Felinto, Moustaid-Moussa, Naima, Mrakovcic, Maria, Muciño-Hernández, Gabriel, Mukherjee, Anupam, Mukhopadhyay, Subhadip, Mulcahy Levy, Jean, Mulero, Victoriano, Muller, Sylviane, Münch, Christian, Munjal, Ashok, Munoz-Canoves, Pura, Muñoz-Galdeano, Teresa, Münz, Christian, Murakawa, Tomokazu, Muratori, Claudia, Murphy, Brona, Murphy, J Patrick, Murthy, Aditya, Myöhänen, Timo, Mysorekar, Indira, Mytych, Jennifer, Nabavi, Seyed Mohammad, Nabissi, Massimo, Nagy, Péter, Nah, Jihoon, Nahimana, Aimable, Nakagawa, Ichiro, Nakamura, Ken, Nakatogawa, Hitoshi, Nandi, Shyam, Nanjundan, Meera, Nanni, Monica, Napolitano, Gennaro, Nardacci, Roberta, Narita, Masashi, Nassif, Melissa, Nathan, Ilana, Natsumeda, Manabu, Naude, Ryno, Naumann, Christin, Naveiras, Olaia, Navid, Fatemeh, Nawrocki, Steffan, Nazarko, Taras, Nazio, Francesca, Negoita, Florentina, Neill, Thomas, Neisch, Amanda, Neri, Luca, Netea, Mihai, Neubert, Patrick, Neufeld, Thomas, Neumann, Dietbert, Neutzner, Albert, Newton, Phillip, Ney, Paul, Nezis, Ioannis, Ng, Charlene, Ng, Tzi Bun, Nguyen, Hang, Nguyen, Long, Ni, Hong-Min, Ní Cheallaigh, Clíona, Ni, Zhenhong, Nicolao, M Celeste, Nicoli, Francesco, Nieto-Diaz, Manuel, Nilsson, Per, Ning, Shunbin, Niranjan, Rituraj, Nishimune, Hiroshi, Niso-Santano, Mireia, Nixon, Ralph, Nobili, Annalisa, Nobrega, Clevio, Noda, Takeshi, Nogueira-Recalde, Uxía, Nolan, Trevor, Nombela, Ivan, Novak, Ivana, Novoa, Beatriz, Nozawa, Takashi, Nukina, Nobuyuki, Nussbaum-Krammer, Carmen, Nylandsted, Jesper, O'Donovan, Tracey, O'Leary, Seónadh, O'Rourke, Eyleen, O'Sullivan, Mary, O'Sullivan, Timothy, Oddo, Salvatore, Oehme, Ina, Ogawa, Michinaga, Ogier-Denis, Eric, Ogmundsdottir, Margret, Ogretmen, Besim, Oh, Goo Taeg, Oh, Seon-Hee, Oh, Young, Ohama, Takashi, Ohashi, Yohei, Ohmuraya, Masaki, Oikonomou, Vasileios, Ojha, Rani, Okamoto, Koji, Okazawa, Hitoshi, Oku, Masahide, Oliván, Sara, Oliveira, Jorge, Ollmann, Michael, Olzmann, James, Omari, Shakib, Omary, M Bishr, Önal, Gizem, Ondrej, Martin, Ong, Sang-Bing, Ong, Sang-Ging, Onnis, Anna, Orellana, Juan, Orellana-Muñoz, Sara, Ortega-Villaizan, Maria Del Mar, Ortiz-Gonzalez, Xilma, Ortona, Elena, Osiewacz, Heinz, Osman, Abdel-Hamid, Osta, Rosario, Otegui, Marisa, Otsu, Kinya, Ott, Christiane, Ottobrini, Luisa, Ou, Jing-Hsiung James, Outeiro, Tiago, Oynebraten, Inger, Ozturk, Melek, Pagès, Gilles, Pahari, Susanta, Pajares, Marta, Pajvani, Utpal, Pal, Rituraj, Paladino, Simona, Pallet, Nicolas, Palmieri, Michela, Palmisano, Giuseppe, Palumbo, Camilla, Pampaloni, Francesco, Pan, Lifeng, Pan, Qingjun, Pan, Wenliang, Pan, Xin, Panasyuk, Ganna, Pandey, Rahul, Pandey, Udai, Pandya, Vrajesh, Paneni, Francesco, Pang, Shirley, Panzarini, Elisa, Papademetrio, Daniela, Papaleo, Elena, Papinski, Daniel, Papp, Diana, Park, Eun Chan, Park, Hwan Tae, Park, Ji-Man, Park, Jong-In, Park, Joon Tae, Park, Junsoo, Park, Sang Chul, Park, Sang-Youel, Parola, Abraham, Parys, Jan, Pasquier, Adrien, Pasquier, Benoit, Passos, João, Pastore, Nunzia, Patel, Hemal, Patschan, Daniel, Pattingre, Sophie, Pedraza-Alva, Gustavo, Pedraza-Chaverri, Jose, Pedrozo, Zully, Pei, Gang, Pei, Jianming, Peled-Zehavi, Hadas, Pellegrini, Joaquín, Pelletier, Joffrey, Peñalva, Miguel, Peng, Di, Peng, Ying, Penna, Fabio, Pennuto, Maria, Pentimalli, Francesca, Pereira, Cláudia MF, Pereira, Gustavo, Pereira, Lilian, Pereira de Almeida, Luis, Perera, Nirma, Pérez-Lara, Ángel, Perez-Oliva, Ana, Pérez-Pérez, María Esther, Periyasamy, Palsamy, Perl, Andras, Perrotta, Cristiana, Perrotta, Ida, Pestell, Richard, Petersen, Morten, Petrache, Irina, Petrovski, Goran, Pfirrmann, Thorsten, Pfister, Astrid, Philips, Jennifer, Pi, Huifeng, Picca, Anna, Pickrell, Alicia, Picot, Sandy, Pierantoni, Giovanna, Pierdominici, Marina, Pierre, Philippe, Pierrefite-Carle, Valérie, Pierzynowska, Karolina, Pietrocola, Federico, Pietruczuk, Miroslawa, Pignata, Claudio, Pimentel-Muiños, Felipe, Pinar, Mario, Pinheiro, Roberta, Pinkas-Kramarski, Ronit, Pinton, Paolo, Pircs, Karolina, Piya, Sujan, Pizzo, Paola, Plantinga, Theo, Platta, Harald, Plaza-Zabala, Ainhoa, Plomann, Markus, Plotnikov, Egor, Plun-Favreau, Helene, Pluta, Ryszard, Pocock, Roger, Pöggeler, Stefanie, Pohl, Christian, Poirot, Marc, Poletti, Angelo, Ponpuak, Marisa, Popelka, Hana, Popova, Blagovesta, Porta, Helena, Porte Alcon, Soledad, Portilla-Fernandez, Eliana, Post, Martin, Potts, Malia, Poulton, Joanna, Powers, Ted, Prahlad, Veena, Prajsnar, Tomasz, Praticò, Domenico, Prencipe, Rosaria, Priault, Muriel, Proikas-Cezanne, Tassula, Promponas, Vasilis, Proud, Christopher, Puertollano, Rosa, Puglielli, Luigi, Pulinilkunnil, Thomas, Puri, Deepika, Puri, Rajat, Puyal, Julien, Qi, Xiaopeng, Qi, Yongmei, Qian, Wenbin, Qiang, Lei, Qiu, Yu, Quadrilatero, Joe, Quarleri, Jorge, Raben, Nina, Rabinowich, Hannah, Ragona, Debora, Ragusa, Michael, Rahimi, Nader, Rahmati, Marveh, Raia, Valeria, Raimundo, Nuno, Rajasekaran, Namakkal-Soorappan, Ramachandra Rao, Sriganesh, Rami, Abdelhaq, Ramírez-Pardo, Ignacio, Ramsden, David, Randow, Felix, Rangarajan, Pundi, Ranieri, Danilo, Rao, Hai, Rao, Lang, Rao, Rekha, Rathore, Sumit, Ratnayaka, J Arjuna, Ratovitski, Edward, Ravanan, Palaniyandi, Ravegnini, Gloria, Ray, Swapan, Razani, Babak, Rebecca, Vito, Reggiori, Fulvio, Régnier-Vigouroux, Anne, Reichert, Andreas, Reigada, David, Reiling, Jan, Rein, Theo, Reipert, Siegfried, Rekha, Rokeya Sultana, Ren, Hongmei, Ren, Jun, Ren, Weichao, Renault, Tristan, Renga, Giorgia, Reue, Karen, Rewitz, Kim, Ribeiro de Andrade Ramos, Bruna, Riazuddin, S Amer, Ribeiro-Rodrigues, Teresa, Ricci, Jean-Ehrland, Ricci, Romeo, Riccio, Victoria, Richardson, Des, Rikihisa, Yasuko, Risbud, Makarand, Risueño, Ruth, Ritis, Konstantinos, Rizza, Salvatore, Rizzuto, Rosario, Roberts, Helen, Roberts, Luke, Robinson, Katherine, Roccheri, Maria Carmela, Rocchi, Stephane, Rodney, George, Rodrigues, Tiago, Rodrigues Silva, Vagner Ramon, Rodriguez, Amaia, Rodriguez-Barrueco, Ruth, Rodriguez-Henche, Nieves, Rodriguez-Rocha, Humberto, Roelofs, Jeroen, Rogers, Robert, Rogov, Vladimir, ROJO, Ana, Rolka, Krzysztof, Romanello, Vanina, Romani, Luigina, Romano, Alessandra, Romano, Patricia, Romeo-Guitart, David, Romero, Luis, Romero, Montserrat, Roney, Joseph, Rongo, Christopher, Roperto, Sante, Rosenfeldt, Mathias, Rosenstiel, Philip, Rosenwald, Anne, Roth, Kevin, Roth, Lynn, Roth, Steven, Rouschop, Kasper, Roussel, Benoit, Roux, Sophie, Rovere-Querini, Patrizia, Roy, Ajit, Rozieres, Aurore, Ruano, Diego, Rubinsztein, David, Rubtsova, Maria, Ruckdeschel, Klaus, Ruckenstuhl, Christoph, Rudolf, Emil, Rudolf, Rüdiger, Ruggieri, Alessandra, Ruparelia, Avnika Ashok, Rusmini, Paola, Russell, Ryan, Russo, Gian Luigi, Russo, Maria, Russo, Rossella, Ryabaya, Oxana, Ryan, Kevin, Ryu, Kwon-Yul, Sabater-Arcis, Maria, Sachdev, Ulka, Sacher, Michael, Sachse, Carsten, Sadhu, Abhishek, Sadoshima, Junichi, Safren, Nathaniel, Saftig, Paul, Sagona, Antonia, Sahay, Gaurav, Sahebkar, Amirhossein, Sahin, Mustafa, Sahin, Ozgur, Sahni, Sumit, Saito, Nayuta, Saito, Shigeru, Saito, Tsunenori, Sakai, Ryohei, Sakai, Yasuyoshi, Sakamaki, Jun-Ichi, Saksela, Kalle, Salazar, Gloria, Salazar-Degracia, Anna, Salekdeh, Ghasem, Saluja, Ashok, Sampaio-Marques, Belém, Sanchez, Maria Cecilia, Sanchez-Alcazar, Jose, Sanchez-Vera, Victoria, Sancho-Shimizu, Vanessa, Sanderson, J Thomas, Sandri, Marco, Santaguida, Stefano, Santambrogio, Laura, Santana, Magda, Santoni, Giorgio, Sanz, Alberto, Sanz, Pascual, Saran, Shweta, Sardiello, Marco, Sargeant, Timothy, Sarin, Apurva, Sarkar, Chinmoy, Sarkar, Sovan, Sarrias, Maria-Rosa, Sarkar, Surajit, Sarmah, Dipanka Tanu, Sarparanta, Jaakko, Sathyanarayan, Aishwarya, Sathyanarayanan, Ranganayaki, Scaglione, K Matthew, Scatozza, Francesca, Schaefer, Liliana, Schafer, Zachary, Schaible, Ulrich, Schapira, Anthony, Scharl, Michael, Schatzl, Hermann, Schein, Catherine, Scheper, Wiep, Scheuring, David, Schiaffino, Maria Vittoria, Schiappacassi, Monica, Schindl, Rainer, Schlattner, Uwe, Schmidt, Oliver, Schmitt, Roland, Schmidt, Stephen, Schmitz, Ingo, Schmukler, Eran, Schneider, Anja, Schneider, Bianca, Schober, Romana, Schoijet, Alejandra, Schott, Micah, Schramm, Michael, Schröder, Bernd, Schuh, Kai, Schüller, Christoph, Schulze, Ryan, Schürmanns, Lea, Schwamborn, Jens, Schwarten, Melanie, Scialo, Filippo, Sciarretta, Sebastiano, Scott, Melanie, Scotto, Kathleen, Scovassi, A Ivana, Scrima, Andrea, Scrivo, Aurora, Sebastian, David, Sebti, Salwa, Sedej, Simon, Segatori, Laura, Segev, Nava, Seglen, Per, Seiliez, Iban, Seki, Ekihiro, Selleck, Scott, Sellke, Frank, Selsby, Joshua, Sendtner, Michael, Senturk, Serif, Seranova, Elena, Sergi, Consolato, Serra-Moreno, Ruth, Sesaki, Hiromi, Settembre, Carmine, Setty, Subba Rao Gangi, Sgarbi, Gianluca, Sha, Ou, Shacka, John, Shah, Javeed, Shang, Dantong, Shao, Changshun, Shao, Feng, Sharbati, Soroush, Sharkey, Lisa, Sharma, Dipali, Sharma, Gaurav, Sharma, Kulbhushan, Sharma, Pawan, Sharma, Surendra, Shen, Han-Ming, Shen, Hongtao, Shen, Jiangang, Shen, Ming, Shen, Weili, Shen, Zheni, Sheng, Rui, Sheng, Zhi, Sheng, Zu-Hang, Shi, Jianjian, Shi, Xiaobing, Shi, Ying-Hong, Shiba-Fukushima, Kahori, Shieh, Jeng-Jer, Shimada, Yohta, Shimizu, Shigeomi, Shimozawa, Makoto, Shintani, Takahiro, Shoemaker, Christopher, Shojaei, Shahla, Shoji, Ikuo, Shravage, Bhupendra, Shridhar, Viji, Shu, Chih-Wen, Shu, Hong-Bing, Shui, Ke, Shukla, Arvind, Shutt, Timothy, Sica, Valentina, Siddiqui, Aleem, Sierra, Amanda, Sierra-Torre, Virginia, Signorelli, Santiago, Sil, Payel, Silva, Bruno, Silva, Johnatas, Silva-Pavez, Eduardo, Silvente-Poirot, Sandrine, Simmonds, Rachel, Simon, Anna Katharina, Simon, Hans-Uwe, Simons, Matias, Singh, Anurag, Singh, Lalit, Singh, Rajat, Singh, Shivendra, Singh, Shrawan, Singh, Sudha, Singh, Sunaina, Singh, Surinder Pal, Sinha, Debasish, Sinha, Rohit Anthony, Sinha, Sangita, Sirko, Agnieszka, Sirohi, Kapil, Sivridis, Efthimios, Skendros, Panagiotis, Skirycz, Aleksandra, Slaninová, Iva, Smaili, Soraya, Smertenko, Andrei, Smith, Matthew, Soenen, Stefaan, Sohn, Eun Jung, Sok, Sophia, Solaini, Giancarlo, Soldati, Thierry, Soleimanpour, Scott, Soler, Rosa, Solovchenko, Alexei, Somarelli, Jason, Sonawane, Avinash, Song, Fuyong, Song, Hyun Kyu, Song, Ju-Xian, Song, Kunhua, Song, Zhiyin, Soria, Leandro, Sorice, Maurizio, Soukas, Alexander, Soukup, Sandra-Fausia, Sousa, Diana, Sousa, Nadia, Spagnuolo, Paul, Spector, Stephen, Srinivas Bharath, M., St Clair, Daret, Stagni, Venturina, Staiano, Leopoldo, Stalnecker, Clint, Stankov, Metodi, Stathopulos, Peter, Stefan, Katja, Stefan, Sven Marcel, Stefanis, Leonidas, Steffan, Joan, Steinkasserer, Alexander, Stenmark, Harald, Sterneckert, Jared, Stevens, Craig, Stoka, Veronika, Storch, Stephan, Stork, Björn, Strappazzon, Flavie, Strohecker, Anne Marie, Stupack, Dwayne, Su, Huanxing, Su, Ling-Yan, Su, Longxiang, Suarez-Fontes, Ana, Subauste, Carlos, Subbian, Selvakumar, Subirada, Paula, Sudhandiran, Ganapasam, Sue, Carolyn, Sui, Xinbing, Summers, Corey, Sun, Guangchao, Sun, Jun, SUN, Kang, Sun, Meng-xiang, Sun, Qiming, Sun, Yi, Sun, Zhongjie, Sunahara, Karen, Sundberg, Eva, Susztak, Katalin, Sutovsky, Peter, Suzuki, Hidekazu, Sweeney, Gary, Symons, J David, Sze, Stephen Cho Wing, Szewczyk, Nathaniel, Tabęcka-Łonczynska, Anna, Tabolacci, Claudio, Tacke, Frank, Taegtmeyer, Heinrich, Tafani, Marco, Tagaya, Mitsuo, Tai, Haoran, Tait, Stephen, Takahashi, Yoshinori, Takats, Szabolcs, Talwar, Priti, Tam, Chit, Tam, Shing Yau, Tampellini, Davide, Tamura, Atsushi, Tan, Chong Teik, Tan, Eng-King, Tan, Ya-Qin, Tanaka, Masaki, Tanaka, Motomasa, Tang, Daolin, Tang, Jingfeng, Tang, Tie-Shan, Tanida, Isei, Tao, Zhipeng, Taouis, Mohammed, Tatenhorst, Lars, Tavernarakis, Nektarios, Taylor, Allen, Taylor, Gregory, Taylor, Joan, Tchetina, Elena, Tee, Andrew, Tegeder, Irmgard, Teis, David, Teixeira, Natercia, Teixeira-Clerc, Fatima, Tekirdag, Kumsal, Tencomnao, Tewin, Tenreiro, Sandra, Tepikin, Alexei, Testillano, Pilar, Tettamanti, Gianluca, Tharaux, Pierre-Louis, Thedieck, Kathrin, Thekkinghat, Arvind, Thellung, Stefano, Thinwa, Josephine, Thirumalaikumar, V.P., Thomas, Sufi Mary, Thomes, Paul, Thorburn, Andrew, Thukral, Lipi, Thum, Thomas, Thumm, Michael, Tian, Ling, Tichy, Ales, Till, Andreas, Timmerman, Vincent, Titorenko, Vladimir, Todi, Sokol, Todorova, Krassimira, Toivonen, Janne, Tomaipitinca, Luana, Tomar, Dhanendra, Tomas-Zapico, Cristina, Tomić, Sergej, Tong, Benjamin Chun-Kit, Tong, Chao, Tong, Xin, Tooze, Sharon, Torgersen, Maria, Torii, Satoru, Torres-López, Liliana, Torriglia, Alicia, Towers, Christina, Towns, Roberto, Toyokuni, Shinya, Trajkovic, Vladimir, Tramontano, Donatella, Tran, Quynh-Giao, Travassos, Leonardo, Trelford, Charles, Tremel, Shirley, Trougakos, Ioannis, Tsao, Betty, Tschan, Mario, Tse, Hung-Fat, Tse, Tak Fu, Tsugawa, Hitoshi, Tsvetkov, Andrey, Tumbarello, David, Tumtas, Yasin, Tuñón, María, Turcotte, Sandra, Turk, Boris, Turk, Vito, Turner, Bradley, Tuxworth, Richard, Tyler, Jessica, Tyutereva, Elena, Uchiyama, Yasuo, Ugun-Klusek, Aslihan, Uhlig, Holm, Ułamek-Kozioł, Marzena, Ulasov, Ilya, Umekawa, Midori, Ungermann, Christian, Unno, Rei, Urbe, Sylvie, Uribe-Carretero, Elisabet, Üstün, Suayib, Uversky, Vladimir, Vaccari, Thomas, Vaccaro, Maria, Vahsen, Björn, Vakifahmetoglu-Norberg, Helin, Valdor, Rut, Valente, Maria, Valko, Ayelén, Vallee, Richard, Valverde, Angela, Van Den Berghe, Greet, van der Veen, Stijn, Van Kaer, Luc, van Loosdregt, Jorg, van Wijk, Sjoerd, Vandenberghe, Wim, Vanhorebeek, Ilse, Vannier-Santos, Marcos, Vannini, Nicola, Vanrell, M Cristina, Vantaggiato, Chiara, Varano, Gabriele, Varela-Nieto, Isabel, Varga, Máté, Vasconcelos, M Helena, Vats, Somya, Vavvas, Demetrios, Vega-Naredo, Ignacio, Vega-Rubin-de-Celis, Silvia, Velasco, Guillermo, Velázquez, Ariadna, Vellai, Tibor, Vellenga, Edo, Velotti, Francesca, Verdier, Mireille, Verginis, Panayotis, Vergne, Isabelle, Verkade, Paul, Verma, Manish, Verstreken, Patrik, Vervliet, Tim, Vervoorts, Jörg, Vessoni, Alexandre, Victor, Victor, Vidal, Michel, Vidoni, Chiara, Vieira, Otilia, Vierstra, Richard, Viganó, Sonia, Vihinen, Helena, Vijayan, Vinoy, Vila, Miquel, Vilar, Marçal, Villalba, José, Villalobo, Antonio, Villarejo-Zori, Beatriz, Villarroya, Francesc, Villarroya, Joan, Vincent, Olivier, Vindis, Cecile, Viret, Christophe, Viscomi, Maria Teresa, Visnjic, Dora, Vitale, Ilio, Vocadlo, David, Voitsekhovskaja, Olga, Volonté, Cinzia, Volta, Mattia, Vomero, Marta, Von Haefen, Clarissa, Vooijs, Marc, Voos, Wolfgang, Vucicevic, Ljubica, Wade-Martins, Richard, Waguri, Satoshi, Waite, Kenrick, Wakatsuki, Shuji, Walker, David, Walker, Mark, Walker, Simon, Walter, Jochen, Wandosell, Francisco, Wang, Bo, Wang, Chao-Yung, Wang, Chen, Wang, Chenran, Wang, Chenwei, Wang, Cun-Yu, Wang, Dong, Wang, Fangyang, Wang, Feng, Wang, Fengming, Wang, Guansong, Wang, Han, Wang, Hao, Wang, Hexiang, Wang, Hong-Gang, Wang, Jianrong, Wang, Jigang, Wang, Jiou, Wang, Jundong, Wang, Kui, Wang, Lianrong, Wang, Liming, Wang, Maggie Haitian, Wang, Meiqing, Wang, Nanbu, Wang, PengWei, Wang, PeiPei, Wang, Ping, Wang, Qing Jun, Wang, Qing, Wang, Qing Kenneth, Wang, Qiong, Wang, Wen-Tao, Wang, Wuyang, Wang, Xinnan, Wang, Xuejun, Wang, Yan, Wang, Yanchang, Wang, Yanzhuang, Wang, Yen-Yun, Wang, Yihua, Wang, Yipeng, Wang, Yu, wang, yuqi, Wang, Zhe, Wang, Zhenyu, Wang, Zhouguang, Warnes, Gary, Warnsmann, Verena, Watada, Hirotaka, Watanabe, Eizo, Watchon, Maxinne, Wawrzyńska, Anna, Weaver, Timothy, Wegrzyn, Grzegorz, Wehman, Ann, Wei, Huafeng, Wei, Lei, Wei, Taotao, Wei, Yongjie, Weiergräber, Oliver, Weihl, Conrad, Weindl, Günther, Weiskirchen, Ralf, Wells, Alan, Wen, Runxia, Wen, Xin, Werner, Antonia, Weykopf, Beatrice, Wheatley, Sally, Whitton, J Lindsay, Whitworth, Alexander, Wiktorska, Katarzyna, Wildenberg, Manon, Wileman, Tom, Wilkinson, Simon, Willbold, Dieter, Williams, Brett, Williams, Robin, Williams, Roger, Williamson, Peter, Wilson, Richard, Winner, Beate, Winsor, Nathaniel, Witkin, Steven, Wodrich, Harald, Woehlbier, Ute, Wollert, Thomas, Wong, Esther, Wong, Jack Ho, Wong, Richard, Wong, Vincent Kam Wai, Wong, W Wei-Lynn, Wu, An-Guo, Wu, Chengbiao, Wu, Jian, Wu, Junfang, Wu, Kenneth, Wu, Min, Wu, Shan-Ying, Wu, Shengzhou, Wu, Shu-Yan, Wu, Shufang, Wu, William, Wu, Xiaohong, Wu, Xiaoqing, Wu, Yao-Wen, Wu, Yihua, Xavier, Ramnik, Xia, Hongguang, Xia, Lixin, Xia, Zhengyuan, Xiang, Ge, Xiang, Jin, Xiang, Mingliang, Xiang, Wei, Xiao, Bin, Xiao, Guozhi, Xiao, Hengyi, Xiao, Hong-tao, Xiao, Jian, Xiao, Lan, Xiao, Shi, Xiao, Yin, Xie, Baoming, Xie, Chuan-Ming, Xie, Min, Xie, Yuxiang, Xie, Zhiping, Xie, Zhonglin, Xilouri, Maria, Xu, Congfeng, Xu, En, Xu, Haoxing, Xu, Jing, Xu, Jinrong, Xu, Liang, Xu, Wen Wen, Xu, Xiulong, Xue, Yu, Yakhine-Diop, Sokhna, Yamaguchi, Masamitsu, Yamaguchi, Osamu, Yamamoto, Ai, Yamashina, Shunhei, Yan, Shengmin, Yan, Shian-Jang, Yan, Zhen, Yanagi, Yasuo, Yang, Chuanbin, Yang, Dun-Sheng, Yang, Huan, Yang, Huang-Tian, Yang, Hui, Yang, Jin-Ming, Yang, Jing, Yang, Jingyu, Yang, Ling, Yang, Liu, Yang, Ming, Yang, Pei-Ming, Yang, Qian, Yang, Seungwon, Yang, Shu, Yang, Shun-Fa, Yang, Wannian, Yang, Wei Yuan, Yang, Xiaoyong, Yang, Xuesong, Yang, Yi, Yang, Ying, Yao, Honghong, Yao, Shenggen, Yao, Xiaoqiang, Yao, Yong-Gang, Yao, Yong-Ming, Yasui, Takahiro, Yazdankhah, Meysam, Yen, Paul, Yi, Cong, Yin, Xiao-Ming, Yin, Yanhai, Yin, Zhangyuan, Yin, Ziyi, Ying, Meidan, Ying, Zheng, Yip, Calvin, Yiu, Stephanie Pei Tung, Yoo, Young, Yoshida, Kiyotsugu, Yoshii, Saori, Yoshimori, Tamotsu, Yousefi, Bahman, Yu, Boxuan, Yu, Haiyang, Yu, Jun, Yu, Li, Yu, Ming-Lung, Yu, Seong-Woon, Yu, Victor, Yu, W Haung, Yu, Zhengping, Yu, Zhou, Yuan, Junying, Yuan, Ling-Qing, Yuan, Shilin, Yuan, Shyng-Shiou, Yuan, Yanggang, Yuan, Zengqiang, Yue, Jianbo, Yue, Zhenyu, Yun, Jeanho, Yung, Raymond, Zacks, David, Zaffagnini, Gabriele, Zambelli, Vanessa, Zanella, Isabella, Zang, Qun, Zanivan, Sara, Zappavigna, Silvia, Zaragoza, Pilar, Zarbalis, Konstantinos, Zarebkohan, Amir, Zarrouk, Amira, Zeitlin, Scott, Zeng, Jialiu, Zeng, Ju-deng, Žerovnik, Eva, Zhan, Lixuan, Zhang, Bin, Zhang, Donna, Zhang, Hanlin, Zhang, Hong, Zhang, Honghe, Zhang, Huafeng, Zhang, Huaye, Zhang, Hui, Zhang, Hui-Ling, Zhang, Jianbin, Zhang, Jianhua, Zhang, Jing-Pu, Zhang, Kalin, Zhang, Leshuai, Zhang, Lin, Zhang, Lisheng, Zhang, Lu, Zhang, Luoying, Zhang, Menghuan, Zhang, Peng, Zhang, Sheng, Zhang, Wei, Zhang, Xiangnan, Zhang, Xiao-Wei, Zhang, Xiaolei, Zhang, Xiaoyan, Zhang, Xin, Zhang, Xinxin, Zhang, Xu Dong, Zhang, Yang, Zhang, Yanjin, Zhang, Yi, Zhang, Ying-Dong, Zhang, Yingmei, Zhang, Yuan-Yuan, Zhang, Yuchen, Zhang, Zhe, Zhang, Zhengguang, Zhang, Zhibing, Zhang, Zhihai, Zhang, Zhiyong, Zhang, Zili, Zhao, Haobin, Zhao, Lei, Zhao, Shuang, Zhao, Tongbiao, Zhao, Xiao-Fan, Zhao, Ying, Zhao, Yongchao, Zhao, Yongliang, Zhao, Yuting, Zheng, Guoping, Zheng, Kai, Zheng, Ling, Zheng, Shizhong, Zheng, Xi-Long, Zheng, Yi, Zheng, Zu-Guo, Zhivotovsky, Boris, Zhong, Qing, Zhou, Ao, Zhou, Ben, Zhou, Cefan, ZHOU, Gang, Zhou, Hao, Zhou, Hong, Zhou, Hongbo, Zhou, Jie, Zhou, Jing, Zhou, Jiyong, Zhou, Kailiang, Zhou, Rongjia, Zhou, Xu-jie, Zhou, Yanshuang, Zhou, Yinghong, Zhou, Yubin, Zhou, Zheng-Yu, Zhou, Zhou, Zhu, Binglin, Zhu, Changlian, Zhu, Guo-Qing, Zhu, Haining, Zhu, Hongxin, Zhu, Hua, Zhu, Wei-Guo, Zhu, Yanping, Zhu, Yushan, Zhuang, Haixia, Zhuang, Xiaohong, Zientara-Rytter, Katarzyna, Zimmermann, Christine, Ziviani, Elena, Zoladek, Teresa, Zong, Wei-Xing, Zorov, Dmitry, Zorzano, Antonio, Zou, Weiping, Zou, Zhen, Zou, Zhengzhi, Zuryn, Steven, Zwerschke, Werner, Brand-Saberi, Beate, Dong, X Charlie, Kenchappa, Chandra Shekar, Li, Zuguo, Lin, Yong, Oshima, Shigeru, Rong, Yueguang, Sluimer, Judith, Stallings, Christina, Tong, Chun-Kit, Ahmad, S. Tariq, Alim Al-Bari, M. Abdul, Bechara, Luiz R.G., Behrens, Georg M.N., Bhuiyan, Md. Shenuarin, Broaddus, V. Courtney, Buchan, J. Ross, Burón, M. Isabel, Carter, A. Brent, Chan, Matthew T.V., Choi, Augustine M.K., D’Adamo, Stefania, D’Amelio, Marcello, D’Arcangelo, Daniela, D’Lugos, Andrew, D’Orazi, Gabriella, De Meyer, Guido R.Y., Delpino, M. Victoria, Distler, Jörg H.W., Dixon, Ian M.C., Dobson, Renwick C.J., 2nd Dorn, Gerald, Eissa, N. Tony, Engelsen, Agnete S.T., Fairlie, W. Douglas, Ferreira, Julio C.B., H.B., Ranjitha, Hanson, Phyllis I., Hejtmancik, J. Fielding, Ho, Idy H.T., Hobbs, G. Aaron, Hoet, Peter H.M., Huang, Michael L.H., Iyer, Anand Krishnan V., Johnson, Gail V.W., Joosten, Leo A.B., Karim, Md. Razaul, Kaufmann, Stefan H.E., Ko, Ben C.B., Leck, Lionel Y.W., Lima, Thania R.R., Livingston, J. Andrew, Martin, Alexandre P.J., Montes, L. Ruth, Murphy, J. Patrick, Ng, Charlene C.W., Nicolao, M. Celeste, O’Donovan, Tracey, O’Leary, Seónadh, O’Rourke, Eyleen, O’Sullivan, Mary, O’Sullivan, Timothy, Omary, M. Bishr, Pereira, Gustavo J.S., Ratnayaka, J. Arjuna, Riazuddin, S. Amer, Rouschop, Kasper M.A., Sanderson, J. Thomas, Scaglione, K. Matthew, Schapira, Anthony H.V., Scovassi, A. Ivana, St. Clair, Daret, Sunahara, Karen K.S., Symons, J. David, Triola, Gemma, van Wijk, Sjoerd J.L., Vanrell, M. Cristina, Vasconcelos, M. Helena, Whitton, J. Lindsay, Williams, Robin S.B., Wong, W. Wei-Lynn, Wu, William K.K., Yakhine-Diop, Sokhna M.S., Yu, W. Haung, Zhang, Kalin Y.B., Dong, X. Charlie, Ain Shams University [ASU], Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University [JGU], Medical University Graz, Centre de Recherche des Cordeliers [CRC (UMR_S_1138 / U1138)], Institut Pasteur d'Iran, Leibniz Institute of Plant Biochemistry [IPB], The University of Texas M.D. Anderson Cancer Center [Houston], Institut de pharmacologie moléculaire et cellulaire [IPMC], Lipides - Nutrition - Cancer [Dijon - U1231] [LNC], Centre méditerranéen de médecine moléculaire [C3M], Institut de Biologie Valrose [IBV], Petites Molécules de neuroprotection, neurorégénération et remyélinisation, Signalisation Hormonale, Physiopathologie Endocrinienne et Métabolique, Institut Cochin [IC UM3 (UMR 8104 / U1016)], Institut NeuroMyoGène [INMG], Paris-Centre de Recherche Cardiovasculaire [PARCC (UMR_S 970/ U970)], Marqueurs cardiovasculaires en situation de stress [MASCOT (UMR_S_942 / U942)], Institut de Recherche sur le Cancer et le Vieillissement [IRCAN], Centre de Recherche en Cancérologie de Marseille [CRCM], Centre for Integrative Biology - CBI [Inserm U964 - CNRS UMR7104 - IGBMC], Oncogenesis, Stress, Signaling [OSS], Institut Necker Enfants-Malades [INEM - UM 111 (UMR 8253 / U1151)], Institut de Biologie Intégrative de la Cellule [I2BC], Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte [M2iSH], Centre de Recherches en Cancérologie de Toulouse [CRCT], Physiopathologie et traitement des maladies du foie, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL], Institut de Génétique et de Biologie Moléculaire et Cellulaire [IGBMC], Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] [BIO-PEROXIL], Centre de recherche sur l'Inflammation [CRI (UMR_S_1149 / ERL_8252 / U1149)], Unité de génétique et biologie des cancers [U830], Laboratoire d'Optique et Biosciences [LOB], Institut des Maladies Métaboliques et Casdiovasculaires [UPS/Inserm U1297 - I2MC], Différenciation et communication neuronale et neuroendocrine [DC2N], Institut de Recherche en Cancérologie de Montpellier [IRCM - U1194 Inserm - UM], Centre d'Immunologie de Marseille - Luminy [CIML], Physiopathologie et imagerie des troubles neurologiques [PhIND], Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée [LBFA], Imagine - Institut des maladies génétiques (IHU) [Imagine - U1163], Institut Mondor de Recherche Biomédicale [IMRB], Franco-czech Laboratory for clinical research on obesity, University of Michigan [Ann Arbor], University of Michigan System, Institut de pharmacologie moléculaire et cellulaire (IPMC), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Université Côte d'Azur (UCA), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Institut de Biologie Valrose (IBV), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Sud - Paris 11 (UP11), Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Nutrition, Métabolisme, Aquaculture (NuMéA), Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut NeuroMyoGène (INMG), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de Recherche en Cancérologie de Marseille (CRCM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU), Centre for Integrative Biology - CBI (Inserm U964 - CNRS UMR7104 - IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institute of genetics and molecular and cellular biology-Centre National de la Recherche Scientifique (CNRS), Chemistry, Oncogenesis, Stress and Signaling (COSS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-CRLCC Eugène Marquis (CRLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Necker Enfants-Malades (INEM - UM 111 (UMR 8253 / U1151)), Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte (M2iSH), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre de Recherche en Nutrition Humaine d'Auvergne (CRNH d'Auvergne)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Centre International de Recherche en Infectiologie - UMR (CIRI), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherches en Cancérologie de Toulouse (CRCT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] (BIO-PEROXIL), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de recherche sur l'Inflammation (CRI (UMR_S_1149 / ERL_8252 / U1149)), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de génétique et biologie des cancers (U830), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Optique et Biosciences (LOB), École polytechnique (X)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Différenciation et communication neuronale et neuroendocrine (DC2N), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Recherche en Cancérologie de Montpellier (IRCM - U1194 Inserm - UM), CRLCC Val d'Aurelle - Paul Lamarque-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie et imagerie des troubles neurologiques (PhIND), Université de Caen Normandie (UNICAEN), Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée (LBFA), Université Grenoble Alpes (UGA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Epithelial biology and disease - Liliane Bettencourt Chair of Developmental Biology (Equipe Inserm U1163), Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Biomécanique cellulaire et respiratoire (BCR), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Charles University [Prague]-Institut National de la Santé et de la Recherche Médicale (INSERM), This work was supported by the National Institute of General Medical Sciences [GM131919]., Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Marqueurs cardiovasculaires en situation de stress (MASCOT (UMR_S_942 / U942)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Université Sorbonne Paris Nord, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie des Adaptations Nutritionnelles (PhAN), Université de Nantes (UN)-Institut National de la Recherche Agronomique (INRA), Département Plateforme (PF I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut Gustave Roussy (IGR), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Chinese Academy of Medical Sciences [Suzhou, Chine] (CAMS), Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], Department of Women's and Children's Health [Stockholm, Sweden], Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École polytechnique (X), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, FHU OncoAge - Pathologies liées à l’âge [CHU Nice] (OncoAge), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Institut de Pharmacologie Moléculaire et Cellulaire [UNIV Côte d'Azur] (UPMC), Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), Life Sciences Institute [Ann Arbor, MI, USA], University of Michigan System-University of Michigan System, European Institute of Oncology IRCCS [Milan, Italy] (EIO), Ain Shams University (ASU), Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Réseau International des Instituts Pasteur (RIIP), Leibniz Institute of Plant Biochemistry (IPB), Hebrew University of Jerusalem, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Agro Dijon, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Oncogenesis, Stress, Signaling (OSS), Institut des Maladies Métaboliques et Casdiovasculaires (UPS/Inserm U1297 - I2MC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Charles University [Prague] (CU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Klionsky, D. 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. D., Hay, B. A., Haynes, C. M., Hayrabedyan, S. B., Hays, T. S., He, C., He, Q., He, R. -R., He, Y. -W., He, Y. -Y., Heakal, Y., Heberle, A. M., Hejtmancik, J. F., Helgason, G. V., Henkel, V., Herb, M., Hergovich, A., Herman-Antosiewicz, A., Hernandez, A., Hernandez, C., Hernandez-Diaz, S., Hernandez-Gea, V., Herpin, A., Herreros, J., Hervas, J. H., Hesselson, D., Hetz, C., Heussler, V. T., Higuchi, Y., Hilfiker, S., Hill, J. A., Hlavacek, W. S., Ho, E. A., Ho, I. H. T., Ho, P. W. -L., Ho, S. -L., Ho, W. Y., Hobbs, G. A., Hochstrasser, M., Hoet, P. H. M., Hofius, D., Hofman, P., Hohn, A., Holmberg, C. I., Hombrebueno, J. R., Yi-Ren Hong, C. -W. H., Hooper, L. V., Hoppe, T., Horos, R., Hoshida, Y., Hsin, I. -L., Hsu, H. -Y., Hu, B., Hu, D., Hu, L. -F., Hu, M. C., Hu, R., Hu, W., Hu, Y. -C., Hu, Z. -W., Hua, F., Hua, J., Hua, Y., Huan, C., Huang, C., Huang, H., Huang, K., Huang, M. L. H., Huang, R., Huang, S., Huang, T., Huang, X., Huang, Y. J., Huber, T. B., Hubert, V., Hubner, C. A., Hughes, S. M., Hughes, W. E., Humbert, M., Hummer, G., Hurley, J. H., Hussain, S., Hussey, P. J., Hutabarat, M., Hwang, H. -Y., Hwang, S., Ieni, A., Ikeda, F., Imagawa, Y., Imai, Y., Imbriano, C., Imoto, M., Inman, D. M., Inoki, K., Iovanna, J., Iozzo, R. V., Ippolito, G., Irazoqui, J. E., Iribarren, P., Ishaq, M., Ishikawa, M., Ishimwe, N., Isidoro, C., Ismail, N., Issazadeh-Navikas, S., Itakura, E., Ito, D., Ivankovic, D., Ivanova, S., Iyer, A. K. V., Izquierdo, J. M., Izumi, M., Jaattela, M., Jabir, M. S., Jackson, W. T., Jacobo-Herrera, N., Jacomin, A. -C., Jacquin, E., Jadiya, P., Jaeschke, H., Jagannath, C., Jakobi, A. J., Jakobsson, J., Janji, B., Jansen-Durr, P., Jansson, P. J., Jantsch, J., Januszewski, S., Jassey, A., Jean, S., Jeltsch-David, H., Jendelova, P., Jenny, A., Jensen, T. E., Jessen, N., Jewell, J. L., Ji, J., Jia, L., Jia, R., Jiang, L., Jiang, Q., Jiang, R., Jiang, T., Jiang, X., Jiang, Y., Jimenez-Sanchez, M., Jin, E. -J., Jin, F., Jin, H., Jin, L., Jin, M., Jin, S., Jo, E. -K., Joffre, C., Johansen, T., Johnson, G. V. W., Johnston, S. A., Jokitalo, E., Jolly, M. K., Joosten, L. A. B., Jordan, J., Joseph, B., Ju, D., Ju, J. -S., Ju, J., Juarez, E., Judith, D., Juhasz, G., Jun, Y., Jung, C. H., Jung, S. -C., Jung, Y. K., Jungbluth, H., Jungverdorben, J., Just, S., Kaarniranta, K., Kaasik, A., Kabuta, T., Kaganovich, D., Kahana, A., Kain, R., Kajimura, S., Kalamvoki, M., Kalia, M., Kalinowski, D. S., Kaludercic, N., Kalvari, I., Kaminska, J., Kaminskyy, V. O., Kanamori, H., Kanasaki, K., Kang, C., Kang, R., Kang, S. S., Kaniyappan, S., Kanki, T., Kanneganti, T. -D., Kanthasamy, A. G., Kanthasamy, A., Kantorow, M., Kapuy, O., Karamouzis, M. V., Karim, M. R., Karmakar, P., Katare, R. G., Kato, M., Kaufmann, S. H. E., Kauppinen, A., Kaushal, G. P., Kaushik, S., Kawasaki, K., Kazan, K., Ke, P. -Y., Keating, D. J., Keber, U., Kehrl, J. H., Keller, K. E., Keller, C. W., Kemper, J. K., Kenific, C. M., Kepp, O., Kermorgant, S., Kern, A., Ketteler, R., Keulers, T. G., Khalfin, B., Khalil, H., Khambu, B., Khan, S. Y., Khandelwal, V. K. M., Khandia, R., Kho, W., Khobrekar, N. V., Khuansuwan, S., Khundadze, M., Killackey, S. A., Kim, D., Kim, D. R., Kim, D. -H., Kim, D. -E., Kim, E. Y., Kim, E. -K., Kim, H. -R., Kim, H. -S., Hyung-Ryong, Kim, Kim, J. H., Kim, J. K., Kim, J. -H., Kim, J., Kim, K. I., Kim, P. K., Kim, S. -J., Kimball, S. R., Kimchi, A., Kimmelman, A. C., Kimura, T., King, M. A., Kinghorn, K. J., Kinsey, C. G., Kirkin, V., Kirshenbaum, L. A., Kiselev, S. L., Kishi, S., Kitamoto, K., Kitaoka, Y., Kitazato, K., Kitsis, R. N., Kittler, J. T., Kjaerulff, O., Klein, P. S., Klopstock, T., Klucken, J., Knaevelsrud, H., Knorr, R. L., Ko, B. C. B., Ko, F., Ko, J. -L., Kobayashi, H., Kobayashi, S., Koch, I., Koch, J. C., Koenig, U., Kogel, D., Koh, Y. H., Koike, M., Kohlwein, S. D., Kocaturk, N. M., Komatsu, M., Konig, J., Kono, T., Kopp, B. T., Korcsmaros, T., Korkmaz, G., Korolchuk, V. I., Korsnes, M. S., Koskela, A., Kota, J., Kotake, Y., Kotler, M. L., Kou, Y., Koukourakis, M. I., Koustas, E., Kovacs, A. L., Kovacs, T., Koya, D., Kozako, T., Kraft, C., Krainc, D., Kramer, H., Krasnodembskaya, A. D., Kretz-Remy, C., Kroemer, G., Ktistakis, N. T., Kuchitsu, K., Kuenen, S., Kuerschner, L., Kukar, T., Kumar, A., Kumar, D., Kumar, S., Kume, S., Kumsta, C., Kundu, C. N., Kundu, M., Kunnumakkara, A. B., Kurgan, L., Kutateladze, T. G., Kutlu, O., Kwak, S., Kwon, H. J., Kwon, T. K., Kwon, Y. T., Kyrmizi, I., La Spada, A., Labonte, P., Ladoire, S., Laface, I., Lafont, F., Lagace, D. C., Lahiri, V., Lai, Z., Laird, A. S., Lakkaraju, A., Lamark, T., Lan, S. -H., Landajuela, A., Lane, D. J. R., Lane, J. D., Lang, C. H., Lange, C., Langel, U., Langer, R., Lapaquette, P., Laporte, J., Larusso, N. F., Lastres-Becker, I., Lau, W. C. Y., Laurie, G. W., Lavandero, S., Law, B. Y. K., Law, H. K. -W., Layfield, R., Le, W., Le Stunff, H., Leary, A. Y., Lebrun, J. -J., Leck, L. Y. W., Leduc-Gaudet, J. -P., Lee, C., Lee, C. -P., Lee, D. -H., Lee, E. B., Lee, E. F., Lee, G. M., Lee, H. -J., Lee, H. K., Lee, J. M., Lee, J. S., Lee, J. -A., Lee, J. -Y., Lee, J. H., Lee, M., Lee, M. G., Lee, M. J., Lee, M. -S., Lee, S. Y., Lee, S. -J., Lee, S. B., Lee, W. H., Lee, Y. -R., Lee, Y. -H., Lee, Y., Lefebvre, C., Legouis, R., Lei, Y. L., Lei, Y., Leikin, S., Leitinger, G., Lemus, L., Leng, S., Lenoir, O., Lenz, G., Lenz, H. J., Lenzi, P., Leon, Y., Leopoldino, A. M., Leschczyk, C., Leskela, S., Letellier, E., Leung, C. -T., Leung, P. S., Leventhal, J. S., Levine, B., Lewis, P. A., Ley, K., Li, B., Li, D. -Q., Li, J., Li, K., Li, L., Li, M., Li, P. -L., Li, M. -Q., Li, Q., Li, S., Li, T., Li, W., Li, X., Li, Y. -P., Li, Y., Li, Z., Lian, J., Liang, C., Liang, Q., Liang, W., Liang, Y., Liao, G., Liao, L., Liao, M., Liao, Y. -F., Librizzi, M., Lie, P. P. Y., Lilly, M. A., Lim, H. J., Lima, T. R. R., Limana, F., Lin, C., Lin, C. -W., Lin, D. -S., Lin, F. -C., Lin, J. D., Lin, K. M., Lin, K. -H., Lin, L. -T., Lin, P. -H., Lin, Q., Lin, S., Lin, S. -J., Lin, W., Lin, X., Lin, Y. -X., Lin, Y. -S., Linden, R., Lindner, P., Ling, S. -C., Lingor, P., Linnemann, A. K., Liou, Y. -C., Lipinski, M. M., Lipovsek, S., Lira, V. A., Lisiak, N., Liton, P. B., Liu, C., Liu, C. -H., Liu, C. -F., Liu, C. H., Liu, F., Liu, H., Liu, H. -S., Liu, H. -F., Liu, J., Liu, L., Liu, M., Liu, Q., Liu, W., Liu, X. -H., Liu, X., Liu, Y., Livingston, J. A., Lizard, G., Lizcano, J. M., Ljubojevic-Holzer, S., Lleonart, M. E., Llobet-Navas, D., Llorente, A., Lo, C. H., Lobato-Marquez, D., Long, Q., Long, Y. C., Loos, B., Loos, J. A., Lopez, M. G., Lopez-Domenech, G., Lopez-Guerrero, J. A., Lopez-Jimenez, A. T., Lopez-Perez, O., Lopez-Valero, I., Lorenowicz, M. J., Lorente, M., Lorincz, P., Lossi, L., Lotersztajn, S., Lovat, P. E., Lovell, J. F., Lovy, A., Low, P., Lu, G., Lu, H., Lu, J. -H., Lu, J. -J., Lu, M., Lu, S., Luciani, A., Lucocq, J. M., Ludovico, P., Luftig, M. A., Luhr, M., Luis-Ravelo, D., Lum, J. J., Luna-Dulcey, L., Lund, A. H., Lund, V. K., Lunemann, J. D., Luningschror, P., Luo, H., Luo, R., Luo, S., Luo, Z., Luparello, C., Luscher, B., Luu, L., Lyakhovich, A., Lyamzaev, K. G., Lystad, A. H., Lytvynchuk, L., Ma, A. C., Ma, C., Ma, M., Ma, N. -F., Ma, Q. -H., Ma, X., Ma, Y., Ma, Z., Macdougald, O. A., Macian, F., Macintosh, G. C., Mackeigan, J. P., Macleod, K. F., Maday, S., Madeo, F., Madesh, M., Madl, T., Madrigal-Matute, J., Maeda, A., Maejima, Y., Magarinos, M., Mahavadi, P., Maiani, E., Maiese, K., Maiti, P., Maiuri, M. C., Majello, B., Major, M. B., Makareeva, E., Malik, F., Mallilankaraman, K., Malorni, W., Maloyan, A., Mammadova, N., Man, G. C. W., Manai, F., Mancias, J. D., Mandelkow, E. -M., Mandell, M. A., Manfredi, A. A., Manjili, M. H., Manjithaya, R., Manque, P., Manshian, B. B., Manzano, R., Manzoni, C., Mao, K., Marchese, C., Marchetti, S., Marconi, A. M., Marcucci, F., Mardente, S., Mareninova, O. A., Margeta, M., Mari, M., Marinelli, S., Marinelli, O., Marino, G., Mariotto, S., Marshall, R. S., Marten, M. R., Martens, S., Martin, A. P. J., Martin, K. R., Martin, S., Martin-Segura, A., Martin-Acebes, M. A., Martin-Burriel, I., Martin-Rincon, M., Martin-Sanz, P., Martina, J. A., Martinet, W., Martinez, A., Martinez, J., Martinez Velazquez, M., Martinez-Lopez, N., Martinez-Vicente, M., Martins, D. O., Martins, J. O., Martins, W. K., Martins-Marques, T., Marzetti, E., Masaldan, S., Masclaux-Daubresse, C., Mashek, D. G., Massa, V., Massieu, L., Masson, G. R., Masuelli, L., Masyuk, A. I., Masyuk, T. V., Matarrese, P., Matheu, A., Matoba, S., Matsuzaki, S., Mattar, P., Matte, A., Mattoscio, D., Mauriz, J. L., Mauthe, M., Mauvezin, C., Maverakis, E., Maycotte, P., Mayer, J., Mazzoccoli, G., Mazzoni, C., Mazzulli, J. R., Mccarty, N., Mcdonald, C., Mcgill, M. R., Mckenna, S. L., Mclaughlin, B., Mcloughlin, F., Mcniven, M. A., Mcwilliams, T. G., Mechta-Grigoriou, F., Medeiros, T. C., Medina, D. L., Megeney, L. A., Megyeri, K., Mehrpour, M., Mehta, J. L., Meijer, A. J., Meijer, A. H., Mejlvang, J., Melendez, A., Melk, A., Memisoglu, G., Mendes, A. F., Meng, D., Meng, F., Meng, T., Menna-Barreto, R., Menon, M. B., Mercer, C., Mercier, A. E., Mergny, J. -L., Merighi, A., Merkley, S. D., Merla, G., Meske, V., Mestre, A. C., Metur, S. P., Meyer, C., Meyer, H., Mi, W., Mialet-Perez, J., Miao, J., Micale, L., Miki, Y., Milan, E., Milczarek, M., Miller, D. L., Miller, S. I., Miller, S., Millward, S. W., Milosevic, I., Minina, E. A., Mirzaei, H., Mirzaei, H. R., Mirzaei, M., Mishra, A., Mishra, N., Mishra, P. K., Misirkic Marjanovic, M., Misasi, R., Misra, A., Misso, G., Mitchell, C., Mitou, G., Miura, T., Miyamoto, S., Miyazaki, M., Miyazaki, T., Miyazawa, K., Mizushima, N., Mogensen, T. H., Mograbi, B., Mohammadinejad, R., Mohamud, Y., Mohanty, A., Mohapatra, S., Mohlmann, T., Mohmmed, A., Moles, A., Moley, K. H., Molinari, M., Mollace, V., Moller, A. B., Mollereau, B., Mollinedo, F., Montagna, C., Monteiro, M. J., Montella, A., Montes, L. R., Montico, B., Mony, V. K., Monzio Compagnoni, G., Moore, M. N., Moosavi, M. A., Mora, A. L., Mora, M., Morales-Alamo, D., Moratalla, R., Moreira, P. I., Morelli, E., Moreno, S., Moreno-Blas, D., Moresi, V., Morga, B., Morgan, A. H., Morin, F., Morishita, H., Moritz, O. L., Moriyama, M., Moriyasu, Y., Morleo, M., Morselli, E., Moruno-Manchon, J. F., Moscat, J., Mostowy, S., Motori, E., Moura, A. F., Moustaid-Moussa, N., Mrakovcic, M., Mucino-Hernandez, G., Mukherjee, A., Mukhopadhyay, S., Mulcahy Levy, J. M., Mulero, V., Muller, S., Munch, C., Munjal, A., Munoz-Canoves, P., Munoz-Galdeano, T., Munz, C., Murakawa, T., Muratori, C., Murphy, B. M., Murphy, J. P., Murthy, A., Myohanen, T. T., Mysorekar, I. U., Mytych, J., Nabavi, S. M., Nabissi, M., Nagy, P., Nah, J., Nahimana, A., Nakagawa, I., Nakamura, K., Nakatogawa, H., Nandi, S. S., Nanjundan, M., Nanni, M., Napolitano, G., Nardacci, R., Narita, M., Nassif, M., Nathan, I., Natsumeda, M., Naude, R. J., Naumann, C., Naveiras, O., Navid, F., Nawrocki, S. T., Nazarko, T. Y., Nazio, F., Negoita, F., Neill, T., Neisch, A. L., Neri, L. M., Netea, M. G., Neubert, P., Neufeld, T. P., Neumann, D., Neutzner, A., Newton, P. T., Ney, P. A., Nezis, I. P., Ng, C. C. W., Ng, T. B., Nguyen, H. T. T., Nguyen, L. T., Ni, H. -M., Ni Cheallaigh, C., Ni, Z., Nicolao, M. C., Nicoli, F., Nieto-Diaz, M., Nilsson, P., Ning, S., Niranjan, R., Nishimune, H., Niso-Santano, M., Nixon, R. A., Nobili, A., Nobrega, C., Noda, T., Nogueira-Recalde, U., Nolan, T. M., Nombela, I., Novak, I., Novoa, B., Nozawa, T., Nukina, N., Nussbaum-Krammer, C., Nylandsted, J., O'Donovan, T. R., O'Leary, S. M., O'Rourke, E. J., O'Sullivan, M. P., O'Sullivan, T. E., Oddo, S., Oehme, I., Ogawa, M., Ogier-Denis, E., Ogmundsdottir, M. H., Ogretmen, B., Oh, G. T., Oh, S. -H., Oh, Y. J., Ohama, T., Ohashi, Y., Ohmuraya, M., Oikonomou, V., Ojha, R., Okamoto, K., Okazawa, H., Oku, M., Olivan, S., Oliveira, J. M. A., Ollmann, M., Olzmann, J. A., Omari, S., Omary, M. B., Onal, G., Ondrej, M., Ong, S. -B., Ong, S. -G., Onnis, A., Orellana, J. A., Orellana-Munoz, S., Ortega-Villaizan, M. D. M., Ortiz-Gonzalez, X. R., Ortona, E., Osiewacz, H. D., Osman, A. -H. K., Osta, R., Otegui, M. S., Otsu, K., Ott, C., Ottobrini, L., Ou, J. -H. J., Outeiro, T. F., Oynebraten, I., Ozturk, M., Pages, G., Pahari, S., Pajares, M., Pajvani, U. B., Pal, R., Paladino, S., Pallet, N., Palmieri, M., Palmisano, G., Palumbo, C., Pampaloni, F., Pan, L., Pan, Q., Pan, W., Pan, X., Panasyuk, G., Pandey, R., Pandey, U. B., Pandya, V., Paneni, F., Pang, S. Y., Panzarini, E., Papademetrio, D. L., Papaleo, E., Papinski, D., Papp, D., Park, E. C., Park, H. T., Park, J. -M., Park, J. -I., Park, J. T., Park, J., Park, S. C., Park, S. -Y., Parola, A. H., Parys, J. B., Pasquier, A., Pasquier, B., Passos, J. F., Pastore, N., Patel, H. H., Patschan, D., Pattingre, S., Pedraza-Alva, G., Pedraza-Chaverri, J., Pedrozo, Z., Pei, G., Pei, J., Peled-Zehavi, H., Pellegrini, J. M., Pelletier, J., Penalva, M. A., Peng, D., Peng, Y., Penna, F., Pennuto, M., Pentimalli, F., Pereira, C. M. F., Pereira, G. J. S., Pereira, L. C., Pereira de Almeida, L., Perera, N. D., Perez-Lara, A., Perez-Oliva, A. B., Perez-Perez, M. E., Periyasamy, P., Perl, A., Perrotta, C., Perrotta, I., Pestell, R. G., Petersen, M., Petrache, I., Petrovski, G., Pfirrmann, T., Pfister, A. S., Philips, J. A., Pi, H., Picca, A., Pickrell, A. M., Picot, S., Pierantoni, G. M., Pierdominici, M., Pierre, P., Pierrefite-Carle, V., Pierzynowska, K., Pietrocola, F., Pietruczuk, M., Pignata, C., Pimentel-Muinos, F. X., Pinar, M., Pinheiro, R. O., Pinkas-Kramarski, R., Pinton, P., Pircs, K., Piya, S., Pizzo, P., Plantinga, T. S., Platta, H. W., Plaza-Zabala, A., Plomann, M., Plotnikov, E. Y., Plun-Favreau, H., Pluta, R., Pocock, R., Poggeler, S., Pohl, C., Poirot, M., Poletti, A., Ponpuak, M., Popelka, H., Popova, B., Porta, H., Porte Alcon, S., Portilla-Fernandez, E., Post, M., Potts, M. B., Poulton, J., Powers, T., Prahlad, V., Prajsnar, T. K., Pratico, D., Prencipe, R., Priault, M., Proikas-Cezanne, T., Promponas, V. J., Proud, C. G., Puertollano, R., Puglielli, L., Pulinilkunnil, T., Puri, D., Puri, R., Puyal, J., Qi, X., Qi, Y., Qian, W., Qiang, L., Qiu, Y., Quadrilatero, J., Quarleri, J., Raben, N., Rabinowich, H., Ragona, D., Ragusa, M. J., Rahimi, N., Rahmati, M., Raia, V., Raimundo, N., Rajasekaran, N. -S., Ramachandra Rao, S., Rami, A., Ramirez-Pardo, I., Ramsden, D. B., Randow, F., Rangarajan, P. N., Ranieri, D., Rao, H., Rao, L., Rao, R., Rathore, S., Ratnayaka, J. A., Ratovitski, E. A., Ravanan, P., Ravegnini, G., Ray, S. K., Razani, B., Rebecca, V., Reggiori, F., Regnier-Vigouroux, A., Reichert, A. S., Reigada, D., Reiling, J. H., Rein, T., Reipert, S., Rekha, R. S., Ren, H., Ren, J., Ren, W., Renault, T., Renga, G., Reue, K., Rewitz, K., Ribeiro de Andrade Ramos, B., Riazuddin, S. A., Ribeiro-Rodrigues, T. M., Ricci, J. -E., Ricci, R., Riccio, V., Richardson, D. R., Rikihisa, Y., Risbud, M. V., Risueno, R. M., Ritis, K., Rizza, S., Rizzuto, R., Roberts, H. C., Roberts, L. D., Robinson, K. 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. P., Sahay, G., Sahebkar, A., Sahin, M., Sahin, O., Sahni, S., Saito, N., Saito, S., Saito, T., Sakai, R., Sakai, Y., Sakamaki, J. -I., Saksela, K., Salazar, G., Salazar-Degracia, A., Salekdeh, G. H., Saluja, A. K., Sampaio-Marques, B., Sanchez, M. C., Sanchez-Alcazar, J. A., Sanchez-Vera, V., Sancho-Shimizu, V., Sanderson, J. T., Sandri, M., Santaguida, S., Santambrogio, L., Santana, M. M., Santoni, G., Sanz, A., Sanz, P., Saran, S., Sardiello, M., Sargeant, T. J., Sarin, A., Sarkar, C., Sarkar, S., Sarrias, M. -R., Sarmah, D. T., Sarparanta, J., Sathyanarayan, A., Sathyanarayanan, R., Scaglione, K. M., Scatozza, F., Schaefer, L., Schafer, Z. T., Schaible, U. E., Schapira, A. H. V., Scharl, M., Schatzl, H. M., Schein, C. H., Scheper, W., Scheuring, D., Schiaffino, M. V., Schiappacassi, M., Schindl, R., Schlattner, U., Schmidt, O., Schmitt, R., Schmidt, S. D., Schmitz, I., Schmukler, E., Schneider, A., Schneider, B. E., Schober, R., Schoijet, A. C., Schott, M. B., Schramm, M., Schroder, B., Schuh, K., Schuller, C., Schulze, R. J., Schurmanns, L., Schwamborn, J. C., Schwarten, M., Scialo, F., Sciarretta, S., Scott, M. J., Scotto, K. W., Scovassi, A. I., Scrima, A., Scrivo, A., Sebastian, D., Sebti, S., Sedej, S., Segatori, L., Segev, N., Seglen, P. O., Seiliez, I., Seki, E., Selleck, S. B., Sellke, F. W., Selsby, J. T., Sendtner, M., Senturk, S., Seranova, E., Sergi, C., Serra-Moreno, R., Sesaki, H., Settembre, C., Setty, S. R. G., Sgarbi, G., Sha, O., Shacka, J. J., Shah, J. A., Shang, D., Shao, C., Shao, F., Sharbati, S., Sharkey, L. M., Sharma, D., Sharma, G., Sharma, K., Sharma, P., Sharma, S., Shen, H. -M., Shen, H., Shen, J., Shen, M., Shen, W., Shen, Z., Sheng, R., Sheng, Z., Sheng, Z. -H., Shi, J., Shi, X., Shi, Y. -H., Shiba-Fukushima, K., Shieh, J. -J., Shimada, Y., Shimizu, S., Shimozawa, M., Shintani, T., Shoemaker, C. J., Shojaei, S., Shoji, I., Shravage, B. V., Shridhar, V., Shu, C. -W., Shu, H. -B., Shui, K., Shukla, A. K., Shutt, T. E., Sica, V., Siddiqui, A., Sierra, A., Sierra-Torre, V., Signorelli, S., Sil, P., Silva, B. J. D. A., Silva, J. D., Silva-Pavez, E., Silvente-Poirot, S., Simmonds, R. E., Simon, A. K., Simon, H. -U., Simons, M., Singh, A., Singh, L. P., Singh, R., Singh, S. V., Singh, S. K., Singh, S. B., Singh, S., Singh, S. P., Sinha, D., Sinha, R. A., Sinha, S., Sirko, A., Sirohi, K., Sivridis, E. L., Skendros, P., Skirycz, A., Slaninova, I., Smaili, S. S., Smertenko, A., Smith, M. D., Soenen, S. J., Sohn, E. J., Sok, S. P. M., Solaini, G., Soldati, T., Soleimanpour, S. A., Soler, R. M., Solovchenko, A., Somarelli, J. A., Sonawane, A., Song, F., Song, H. K., Song, J. -X., Song, K., Song, Z., Soria, L. R., Sorice, M., Soukas, A. A., Soukup, S. -F., Sousa, D., Sousa, N., Spagnuolo, P. A., Spector, S. A., Srinivas Bharath, M. M., S, t. Clair D., Stagni, V., Staiano, L., Stalnecker, C. A., Stankov, M. V., Stathopulos, P. B., Stefan, K., Stefan, S. M., Stefanis, L., Steffan, J. S., Steinkasserer, A., Stenmark, H., Sterneckert, J., Stevens, C., Stoka, V., Storch, S., Stork, B., Strappazzon, F., Strohecker, A. M., Stupack, D. G., Su, H., Su, L. -Y., Su, L., Suarez-Fontes, A. M., Subauste, C. S., Subbian, S., Subirada, P. V., Sudhandiran, G., Sue, C. M., Sui, X., Summers, C., Sun, G., Sun, J., Sun, K., Sun, M. -X., Sun, Q., Sun, Y., Sun, Z., Sunahara, K. K. S., Sundberg, E., Susztak, K., Sutovsky, P., Suzuki, H., Sweeney, G., Symons, J. D., Sze, S. C. W., Szewczyk, N. J., Tabecka-Lonczynska, A., Tabolacci, C., Tacke, F., Taegtmeyer, H., Tafani, M., Tagaya, M., Tai, H., Tait, S. W. G., Takahashi, Y., Takats, S., Talwar, P., Tam, C., Tam, S. Y., Tampellini, D., Tamura, A., Tan, C. T., Tan, E. -K., Tan, Y. -Q., Tanaka, M., Tang, D., Tang, J., Tang, T. -S., Tanida, I., Tao, Z., Taouis, M., Tatenhorst, L., Tavernarakis, N., Taylor, A., Taylor, G. A., Taylor, J. M., Tchetina, E., Tee, A. R., Tegeder, I., Teis, D., Teixeira, N., Teixeira-Clerc, F., Tekirdag, K. A., Tencomnao, T., Tenreiro, S., Tepikin, A. V., Testillano, P. S., Tettamanti, G., Tharaux, P. -L., Thedieck, K., Thekkinghat, A. A., Thellung, S., Thinwa, J. W., Thirumalaikumar, V. P., Thomas, S. M., Thomes, P. G., Thorburn, A., Thukral, L., Thum, T., Thumm, M., Tian, L., Tichy, A., Till, A., Timmerman, V., Titorenko, V. I., Todi, S. V., Todorova, K., Toivonen, J. M., Tomaipitinca, L., Tomar, D., Tomas-Zapico, C., Tomic, S., Tong, B. C. -K., Tong, C., Tong, X., Tooze, S. A., Torgersen, M. L., Torii, S., Torres-Lopez, L., Torriglia, A., Towers, C. G., Towns, R., Toyokuni, S., Trajkovic, V., Tramontano, D., Tran, Q. -G., Travassos, L. H., Trelford, C. B., Tremel, S., Trougakos, I. P., Tsao, B. P., Tschan, M. P., Tse, H. -F., Tse, T. F., Tsugawa, H., Tsvetkov, A. S., Tumbarello, D. A., Tumtas, Y., Tunon, M. J., Turcotte, S., Turk, B., Turk, V., Turner, B. J., Tuxworth, R. I., Tyler, J. K., Tyutereva, E. V., Uchiyama, Y., Ugun-Klusek, A., Uhlig, H. H., Ulamek-Koziol, M., Ulasov, I. V., Umekawa, M., Ungermann, C., Unno, R., Urbe, S., Uribe-Carretero, E., Ustun, S., Uversky, V. N., Vaccari, T., Vaccaro, M. I., Vahsen, B. F., Vakifahmetoglu-Norberg, H., Valdor, R., Valente, M. J., Valko, A., Vallee, R. B., Valverde, A. M., Van den Berghe, G., van der Veen, S., Van Kaer, L., van Loosdregt, J., van Wijk, S. J. L., Vandenberghe, W., Vanhorebeek, I., Vannier-Santos, M. A., Vannini, N., Vanrell, M. C., Vantaggiato, C., Varano, G., Varela-Nieto, I., Varga, M., Vasconcelos, M. H., Vats, S., Vavvas, D. G., Vega-Naredo, I., Vega-Rubin-de-Celis, S., Velasco, G., Velazquez, A. P., Vellai, T., Vellenga, E., Velotti, F., Verdier, M., Verginis, P., Vergne, I., Verkade, P., Verma, M., Verstreken, P., Vervliet, T., Vervoorts, J., Vessoni, A. T., Victor, V. M., Vidal, M., Vidoni, C., Vieira, O. V., Vierstra, R. D., Vigano, S., Vihinen, H., Vijayan, V., Vila, M., Vilar, M., Villalba, J. M., Villalobo, A., Villarejo-Zori, B., Villarroya, F., Villarroya, J., Vincent, O., Vindis, C., Viret, C., Viscomi, M. T., Visnjic, D., Vitale, I., Vocadlo, D. J., Voitsekhovskaja, O. V., Volonte, C., Volta, M., Vomero, M., Von Haefen, C., Vooijs, M. A., Voos, W., Vucicevic, L., Wade-Martins, R., Waguri, S., Waite, K. A., Wakatsuki, S., Walker, D. W., Walker, M. J., Walker, S. A., Walter, J., Wandosell, F. G., Wang, B., Wang, C. -Y., Wang, C., Wang, D., Wang, F., Wang, G., Wang, H., Wang, H. -G., Wang, J., Wang, K., Wang, L., Wang, M. H., Wang, M., Wang, N., Wang, P., Wang, Q. J., Wang, Q., Wang, Q. K., Wang, Q. A., Wang, W. -T., Wang, W., Wang, X., Wang, Y., Wang, Y. -Y., Wang, Z., Warnes, G., Warnsmann, V., Watada, H., Watanabe, E., Watchon, M., Wawrzynska, A., Weaver, T. E., Wegrzyn, G., Wehman, A. M., Wei, H., Wei, L., Wei, T., Wei, Y., Weiergraber, O. H., Weihl, C. C., Weindl, G., Weiskirchen, R., Wells, A., Wen, R. H., Wen, X., Werner, A., Weykopf, B., Wheatley, S. P., Whitton, J. L., Whitworth, A. J., Wiktorska, K., Wildenberg, M. E., Wileman, T., Wilkinson, S., Willbold, D., Williams, B., Williams, R. S. B., Williams, R. L., Williamson, P. R., Wilson, R. A., Winner, B., Winsor, N. J., Witkin, S. S., Wodrich, H., Woehlbier, U., Wollert, T., Wong, E., Wong, J. H., Wong, R. W., Wong, V. K. W., Wong, W. W. -L., Wu, A. -G., Wu, C., Wu, J., Wu, K. K., Wu, M., Wu, S. -Y., Wu, S., Wu, W. K. K., Wu, X., Wu, Y. -W., Wu, Y., Xavier, R. J., Xia, H., Xia, L., Xia, Z., Xiang, G., Xiang, J., Xiang, M., Xiang, W., Xiao, B., Xiao, G., Xiao, H., Xiao, H. -T., Xiao, J., Xiao, L., Xiao, S., Xiao, Y., Xie, B., Xie, C. -M., Xie, M., Xie, Y., Xie, Z., Xilouri, M., Xu, C., Xu, E., Xu, H., Xu, J., Xu, L., Xu, W. W., Xu, X., Xue, Y., Yakhine-Diop, S. M. S., Yamaguchi, M., Yamaguchi, O., Yamamoto, A., Yamashina, S., Yan, S., Yan, S. -J., Yan, Z., Yanagi, Y., Yang, C., Yang, D. -S., Yang, H., Yang, H. -T., Yang, J. -M., Yang, J., Yang, L., Yang, M., Yang, P. -M., Yang, Q., Yang, S., Yang, S. -F., Yang, W., Yang, W. Y., Yang, X., Yang, Y., Yao, H., Yao, S., Yao, X., Yao, Y. -G., Yao, Y. -M., Yasui, T., Yazdankhah, M., Yen, P. M., Yi, C., Yin, X. -M., Yin, Y., Yin, Z., Ying, M., Ying, Z., Yip, C. K., Yiu, S. P. T., Yoo, Y. H., Yoshida, K., Yoshii, S. R., Yoshimori, T., Yousefi, B., Yu, B., Yu, H., Yu, J., Yu, L., Yu, M. -L., Yu, S. -W., Yu, V. C., Yu, W. H., Yu, Z., Yuan, J., Yuan, L. -Q., Yuan, S., Yuan, S. -S. F., Yuan, Y., Yuan, Z., Yue, J., Yue, Z., Yun, J., Yung, R. L., Zacks, D. N., Zaffagnini, G., Zambelli, V. O., Zanella, I., Zang, Q. S., Zanivan, S., Zappavigna, S., Zaragoza, P., Zarbalis, K. S., Zarebkohan, A., Zarrouk, A., Zeitlin, S. O., Zeng, J., Zeng, J. -D., Zerovnik, E., Zhan, L., Zhang, B., Zhang, D. D., Zhang, H., Zhang, H. -L., Zhang, J., Zhang, J. -P., Zhang, K. Y. B., Zhang, L. W., Zhang, L., Zhang, M., Zhang, P., Zhang, S., Zhang, W., Zhang, X., Zhang, X. -W., Zhang, X. D., Zhang, Y., Zhang, Y. -D., Zhang, Y. -Y., Zhang, Z., Zhao, H., Zhao, L., Zhao, S., Zhao, T., Zhao, X. -F., Zhao, Y., Zheng, G., Zheng, K., Zheng, L., Zheng, S., Zheng, X. -L., Zheng, Y., Zheng, Z. -G., Zhivotovsky, B., Zhong, Q., Zhou, A., Zhou, B., Zhou, C., Zhou, G., Zhou, H., Zhou, J., Zhou, K., Zhou, R., Zhou, X. -J., Zhou, Y., Zhou, Z. -Y., Zhou, Z., Zhu, B., Zhu, C., Zhu, G. -Q., Zhu, H., Zhu, W. -G., Zhu, Y., Zhuang, H., Zhuang, X., Zientara-Rytter, K., Zimmermann, C. M., Ziviani, E., Zoladek, T., Zong, W. -X., Zorov, D. B., Zorzano, A., Zou, W., Zou, Z., Zuryn, S., Zwerschke, W., Brand-Saberi, B., Dong, X. C., Kenchappa, C. S., Lin, Y., Oshima, S., Rong, Y., Sluimer, J. C., Stallings, C. L., Tong, C. -K., and Centre National de la Recherche Scientifique (CNRS)
- 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
- Full Text
- View/download PDF
14. Improved free-weighting matrix approach for stability analysis of discrete-time recurrent neural networks with time-varying delay
- Author
-
Wu, Min, Liu, Fang, Shi, Peng, He, Yong, and Yokoyama, Ryuichi
- Subjects
Neural networks -- Properties ,Liapunov functions -- Properties ,Matrices -- Usage ,Stability -- Evaluation ,Neural network ,Business ,Computers and office automation industries ,Electronics ,Electronics and electrical industries - Abstract
This paper deals with the problem of exponential stability for a class of discrete-time recurrent neural networks with time-varying delay by employing an improved free-weighting matrix approach. The relationship among the time-varying delay, its upper bound and their difference is taken into account. As a result, a new and less conservative delay-dependent stability criterion is obtained without ignoring any useful terms on the difference of a Lyapunov function, which is expressed in terms of linear matrix inequalities. Finally, numerical examples are given to demonstrate the effectiveness of the proposed techniques. Index Terms--Discrete-time recurrent neural networks, time-varying delay, delay-dependent stability, Lyapunov function, linear matrix inequalities (LMIs).
- Published
- 2008
15. Design of artificial lumped-element coplanar waveguide filters with controllable dual-passband responses
- Author
-
Mao, Shau-Gang and Wu, Min-Sou
- Subjects
Waveguides -- Equipment and supplies ,Microwave filters -- Design and construction ,Resonators -- Design and construction ,Circuit design -- Evaluation ,Circuit designer ,Integrated circuit design ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
This study develops an analytical design methodology for synthesizing dual-passband filters with controllable frequency responses. The novel dual-passband filters are constructed from the artificial lumped-element coplanar waveguide stub whose behavior is equivalent to that of a parallel connection of series LC and shunt LC resonators. To improve the frequency response within two passbands, the impedance matching and the phase and impedance compensations are employed in filter design by attaching additional inductors and capacitors to dual-passband resonators. Two types of filters with significantly different band-width and separation of two passbands are implemented and the measured results are very consistent with the theoretical predictions, sufficiently validating the proposed design methodology and filter configuration. The proposed filters realized by artificial lumped-element resonators provide the advantages over conventional dual-passband filters in terms of compact size, spurious dc passband elimination, and deep suppression between two passbands. Index Terms--Artificial lumped-element resonator, design methodology, dual-passband filter.
- Published
- 2008
16. Global exponential stability of bidirectional associative memory neural networks with time delays
- Author
-
Liu, Xi-Ge, Martin, Ralph R., Wu, Min, and Tang, Mei-Lan
- Subjects
Neural networks -- Design and construction ,Liapunov functions -- Evaluation ,Memory (Computers) -- Design and construction ,Delay lines -- Design and construction ,Neural network ,Semiconductor memory ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
In this paper, we consider delayed bidirectional associative memory (BAM) neural networks (NNs) with Lipschitz continuous activation functions. By applying Young's inequality and Ho1der's inequality techniques together with the properties of monotonic continuous functions, global exponential stability criteria are established for BAM NNs with time delays. This is done through the use of a new Lyapunov functional and an M-matrix. The results obtained in this paper extend and improve previous results. Index Terms--Bidirectional associative memory (BAM) neural networks (NNs), global exponential stability, Lyapunov functionals, Young's inequality.
- Published
- 2008
17. Improving disturbance-rejection performance based on an equivalent-input-disturbance approach
- Author
-
She, Jin-Hua, Fang, Mingxing, Ohyama, Yasuhiro, Hashimoto, Hiroshi, and Wu, Min
- Subjects
Servomechanisms -- Design and construction ,Industrial electronics -- Research ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
This paper presents a new method of improving the disturbance-rejection performance of a servo system based on the estimation of an equivalent input disturbance (EID). First, the concept of EID is defined. Next, the configuration of an improved servo system employing the new disturbance-estimation method is described. Then, a method of designing a control law employing a disturbance estimate is explained. Finally, the speed control of a rotational control system is used to demonstrate the validity of the method, and some design guidelines are presented. Index Terms--Disturbance estimation, disturbance rejection, equivalent input disturbance (EID), perfect regulation, servo system, stable inversion.
- Published
- 2008
18. Investigation on the Oral Health Knowledge, Attitudes and Behavior Among Pregnant Women in China and Analysis of the Influencing Factors
- Author
-
Wu Min
- Subjects
business.industry ,Environmental health ,Medicine ,Oral health ,China ,business - Published
- 2020
- Full Text
- View/download PDF
19. Detection and Immunotherapy of Cardiac Graft Rejection: a Review
- Author
-
Jinsong Huang, Wu Min, Mingyi Zhao, Lei Yang, Ping Zhu, Chunyuan Chen, and Guangming Yin
- Subjects
medicine.medical_specialty ,Graft rejection ,business.industry ,medicine.medical_treatment ,medicine ,Immunotherapy ,business ,Surgery - Published
- 2019
- Full Text
- View/download PDF
20. Asymmetric transmission of light waves in a photonic crystal waveguide heterostructure with complete bandgaps
- Author
-
Han Lin, Yibiao Yang, Wu Min, Zhang Mingda, Zhang Qi, Liu Xin, Fei Hongming, Guo Ran, and Xueting Han
- Subjects
Total internal reflection ,Materials science ,business.industry ,Nanophotonics ,Atomic and Molecular Physics, and Optics ,law.invention ,Transverse mode ,Optics ,law ,Transmittance ,Contrast ratio ,Electrical and Electronic Engineering ,Photonics ,business ,Engineering (miscellaneous) ,Waveguide ,Photonic crystal - Abstract
Here, we theoretically present an on-chip nanophotonic asymmetric transmission device (ATD) based on the photonic crystal (PhC) waveguide structure with complete photonic bandgaps (CPBGs). The ATD comprises two-dimensional silica and germanium PhCs with CPBGs, within which line defects are introduced to create highly efficient waveguides to achieve high forward transmittance. In the meantime, the total internal reflection principle is applied to block the backward incidence, achieving asymmetric transmission. We optimize the design of the PhCs and the waveguide structure by scanning different structure parameters. The optimized ATD shows a high forward transmittance of 0.581 and contrast ratio of 0.989 at the wavelength of 1582 nm for TE mode. The results deepen the understanding and open up the new possibility in designing novel ATDs. The on-chip ATD will find broad applications in optical communications and quantum computing.
- Published
- 2020
21. Performance evaluation of SUVnet with real-time traffic data
- Author
-
Huang, Hong-Yu, Luo, Pei-En, Li, Minglu, Li, Da, Li, Xu, Shu, Wei, and Wu, Min-You
- Subjects
Computer network protocols -- Evaluation ,Mobile communication systems -- Research ,Wireless communication systems -- Research ,Real-time control -- Usage ,Real-time systems -- Usage ,System design -- Methods ,Systems analysis -- Methods ,Protocol ,Wireless technology ,Real-time system ,System design ,Business ,Electronics ,Electronics and electrical industries ,Transportation industry - Abstract
In this paper, we present the characteristics of a vehicular ad hoc network (VANET), which is the Shanghai urban vehicular network (SUVnet). We construct a mobility model using the GPS data collected from more than 4000 taxis in Shanghai. The model is both realistic and large scale. Based on this model, network topology and connectivity of SUVnet are studied. Because of the sparse distribution and dynamic topology of SUVnet, simply utilizing the conventional mobile ad hoc network routing protocols in SUVnet may not achieve a satisfactory performance. Therefore, we apply the delay-tolerant network model to SUVnet and evaluate the epidemic routing protocols. We propose a new protocol, which is the distance aware epidemic routing (DAER), to improve the bundle delivery ratio. Results show that DAER performs well for a VANET. This paper provides a basis in studying a realistic urban VANET. Index Terms--Delay-tolerant network (DTN), epidemic routing, mobility model, performance, vehicular ad hoc network (VANET).
- Published
- 2007
22. Stability analysis for neural networks with time-varying interval delay
- Author
-
He, Yong, Liu, G.P., Rees, D., and Wu, Min
- Subjects
Neural networks -- Design and construction ,Delay lines -- Properties ,Liapunov functions -- Properties ,Neural network ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
This letter is concerned with the stability analysis of neural networks (NNs) with time-varying interval delay. The relationship between the time-varying delay and its lower and upper bounds is taken into account when estimating the upper bound of the derivative of Lyapunov functional. As a result, some improved delay/interval-dependent stability criteria for NNs with time-varying interval delay are proposed. Numerical examples are given to demonstrate the effectiveness and the merits of the proposed method. Index Terms--Delay/interval-dependent stability, neural networks (NNs), time-varying interval delay.
- Published
- 2007
23. A Computer-Aided Tuning Method for Microwave Filters by Combing T-S Fuzzy Neural Networks and Improved Space Mapping
- Author
-
Wu Min, Wu Shengbiao, Liu Can, and Cao Weihua
- Subjects
Fuzzy neural ,business.industry ,Computer science ,Modeling and Simulation ,Computer-aided ,Pattern recognition ,Combing ,Artificial intelligence ,business ,Space mapping ,Software ,Microwave ,Computer Science Applications - Published
- 2018
- Full Text
- View/download PDF
24. A scalable multiuser framework for video over OFDM networks: fairness and efficiency
- Author
-
Su, Guan-Ming, Han, Zhu, Wu, Min, and Liu, K.J. Ray
- Subjects
Image coding -- Methods ,Resource allocation -- Methods ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
In this paper, we propose a framework to transmit multiple scalable video programs over downlink multiuser orthogonal frequency division multiplex (OFDM) networks in real time. The framework explores the scalability of the video codec and multidimensional diversity of multiuser OFDM systems to achieve the optimal service objectives subject to constraints on delay and limited system resources. We consider two essential service objectives, namely, the fairness and efficiency. Fairness concerns the video quality deviation among users who subscribe the same quality of service, and efficiency relates to how to attain the highest overall video quality using the available system resources. We formulate the fairness problem as minimizing the maximal end-to-end distortion received among all users and the efficiency problem as minimizing total end-to-end distortion of all users. Fast suboptimal algorithms are proposed to solve the above two optimization problems. The simulation results demonstrated that the proposed fairness algorithm outperforms a time division multiple (TDM) algorithm by 0.5 ~ 3 dB in terms of the worst received video quality among all users. In addition, the proposed framework can achieve a desired tradeoff between fairness and efficiency. For achieving the same average video quality among all users, the proposed framework can provide fairer video quality with 1 ~ 1.8 dB lower PSNR deviation than a TDM algorithm. Index Terms--Dynamic resource allocation, multiuser orthogonal frequency division multiplex (OFDM) networks, multiuser video communications, scalable video coding.
- Published
- 2006
25. Design of composite right/left-handed coplanar-waveguide bandpass and dual-passband filters
- Author
-
Mao, Shau-Gang, Wu, Min-Sou, and Chueh, Yu-Zhi
- Subjects
Electric filters, Bandpass -- Design and construction ,Electric filters, Bandpass -- Research ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
The design and implementation of novel coplanar-waveguide (CPW) bandpass and dual-passband filters that consist of the composite right/left-handed short-circuited stubs are proposed. In contrast to the conventional short-circuited stub, whose input impedance repeats every half-wavelength, the composite right/left-handed CPW stub combines the phase-lead composite right/left-handed CPW and the phase-lag uniform CPW to achieve the arbitrary resonant frequencies with compact size. The equivalent bandpass and dual-passband LC resonators are established by investigating the frequency responses of the composite right/left-handed CPW stubs. The composite right/left-handed CPW bandpass filter is 62.5% more compact than the conventional quarter-wavelength shunt-stub CPW bandpass filter. The composite right/left-handed CPW dual-passband filter, which possesses the sharp rejection between the two asymmetric passbands, is also developed. The synthesis procedures of the composite right/left-handed CPW bandpass and dual-passband filters are successfully validated by measurement and full-wave simulation. Index Terms--Bandpass filter, composite right/left-handed structure, dual-passband filter, short-circuited stub, synthesis technique.
- Published
- 2006
26. Delay-dependent exponential stability of delayed neural networks with time- varying delay
- Author
-
He, Yong, Wu, Min, and She, Jin-Hua
- Subjects
Neural networks -- Research ,Neural network ,Business ,Computers and office automation industries ,Electronics ,Electronics and electrical industries - Abstract
In this brief, free-weighting matrices are employed to express the relationship between the terms in the Leibniz-Newton formula; and based on that relationship, a new delay-dependent exponential- stability criterion is derived for delayed neural networks with a time-varying delay. Two numerical examples demonstrate the improvement this method provides over existing ones. Index Terms--Delay-dependent criterion, exponential stability, free-weighting matrix approach, linear matrix inequality (LMI), neural networks.
- Published
- 2006
27. Delay-dependent state estimation for delayed neural networks
- Author
-
He, Yong, Wang, Qing-Guo, Wu, Min, and Lin, Chong
- Subjects
Neural networks -- Analysis ,Matrices -- Analysis ,Neural network ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
In this letter, the delay-dependent state estimation problem for neural networks with time-varying delay is investigated. A delay-dependent criterion is established to estimate the neuron states through available output measurements such that the dynamics of the estimation error is globally exponentially stable. The proposed method is based on the free-weighting matrix approach and is applicable to the case that the derivative of a time-varying delay takes any value. An algorithm is presented to compute the state estimator. Finally, a numerical example is given to demonstrate the effectiveness of this approach and the improvement over existing ones. Index Terms--Delay-dependent, linear matrix inequality (LMI), neural networks, state estimation.
- Published
- 2006
28. Dual-bandpass filters with serial configuration using LTCC technology
- Author
-
Lin, Ke-Chiang, Chang, Chun-Fu, Wu, Min-Chung, and Chung, Shyh-Jong
- Subjects
Electric filters, Bandpass -- Design and construction ,Wireless local area networks (Computer networks) -- Analysis ,Numerical analysis ,Wireless LAN/WAN system ,Wireless network ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
A dual-bandpass filter that utilizes a serial configuration of the inductive coupled-line (ICL) filter and the capacitive coupled-line (CCL) filter is investigated in this study. Numerical analysis is presented for the difference between the ICL and CCL filters. The dual-bandpass filter has a similar behavior to the individual single-band filter around the corresponding passband. An extra transmission zero can be generated between the two passbands of the dual-bandpass filter in that the ICL and CCL filters exhibit an out-of-phase response. Four architectures of dual-band-pass filters are proposed for the 2.4/5-GHz systems. Two of them are demonstrated by the low-temperature co-fired ceramic multilayer technology. Measurements results agree quite well with the simulation ones. Index Terms--Bandpass filter, dual-band, low-temperature co-fired ceramic (LTCC), wireless local area network (WLAN).
- Published
- 2006
29. Modeling of symmetric composite right/left-handed coplanar waveguides with applications to compact bandpass filters
- Author
-
Mao, Shau-Gang, Wu, Min-Sou, Chueh, Yu-Zhi, and Chen, Chun Hsiung
- Subjects
Electric filters, Bandpass -- Research ,Waveguides -- Research ,Resonators -- Research ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
This study proposes an equivalent-circuit model for the composite right/left-handed (CRLH) coplanar waveguide (CPW) comprising the series interdigital capacitor and shunt meandering short-circuited stub inductor in symmetric configuration. The new technique for extracting the equivalent-circuit elements of the CRLH CPW, which include inductances, capacitances, and resistances to represent the left-handed, right-handed, and lossy characteristics, is developed based on the effective medium concept. The applications to the compact resonators and filters are presented to emphasize the unique features of the CRLH CPW. A novel CRLH CPW resonator with a 0[degrees] effective electrical length at resonance is proposed, which gives a 49.1% size reduction when compared with the conventional half-wavelength resonator at 5 GHz. Based on the zeroth-order CRLH CPW resonators, an inductively coupled two-pole bandpass filter with 5.4% 3-dB bandwidth and 2.7-dB insertion loss at 5 GHz is implemented, and it is 51.4% more compact than the conventional structure. A good agreement among the results of the full-wave simulation, equivalent-circuit model, published data, and measurement demonstrates the effectiveness of the proposed modeling technique. To suppress the higher order harmonic spurious passbands, the electromagnetic-bandgap CPW structures are incorporated into the proposed CRLH CPW filter. Index Terms--Bandpass filter (BPF), composite right/left-handed (CRLH) coplanar waveguide (CPW), resonator.
- Published
- 2005
30. Efficient bandwidth resource allocation for low-delay multiuser video streaming
- Author
-
Su, Guan-Ming and Wu, Min
- Subjects
Streaming media -- Comparative analysis ,Algorithms -- Comparative analysis ,Streaming media technology ,Algorithm ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
This paper studies efficient bandwidth resource allocation for streaming multiple MPEG-4 fine granularity scalability (FGS) video programs to multiple users. We begin with a simple single-user scenario and propose a rate-control algorithm that has low delay and achieves an excellent tradeoff between the average visual distortion and the quality fluctuation. The proposed algorithm employs two weight factors for adjusting the tradeoff, and the optimal choice of these factors is derived. We then extend to the multiuser case and propose a dynamic resource allocation algorithm with low delay and low computational complexity. By exploring the variations in the scene complexity of video programs as well as dynamically and jointly distributing the available system resources among users, our proposed algorithm provides low fluctuation of quality for each user, and can support consistent or differentiated quality among all users to meet applications' needs. Experimental results show that compared to traditional look-ahead sliding-window approaches, our algorithm can achieve comparable visual quality and channel utilization at a much lower cost of delay, computation, and storage. Index Terms--Dynamic resource allocation, fine granularity scalability (FGS) coding, multiuser video communications, rate control, visual quality fluctuation.
- Published
- 2005
31. Improved bounded-real-lemma representation and [H.sub.[infinity]] control of systems with polytopic uncertainties
- Author
-
He, Yong, Wu, Min, and She, Jin-Hua
- Subjects
Linear systems -- Research ,Liapunov functions -- Research ,Control systems -- Research ,Business ,Computers and office automation industries ,Electronics ,Electronics and electrical industries - Abstract
This brief concerns the problem of the bounded-real-lemma (BRL) representation and [H.sub.[infinity]] control of linear systems with real convex polytopic uncertainties. In order to use a parameter-dependent Lyapunov function for a system with polytopic uncertainties, the derivative term for the state, which is in the derivative of the Lyapunov function, is reserved; and free weighting matrices are used to express the relationship between the terms of the system equation. This yields a new linear-matrix-inequality approach to BRL representation. In addition, this method is extended to the design of a state-feedback controller that solves the [H.sub.[infinity]] control problem. Numerical examples demonstrate that the proposed method is effective and is an improvement over previous ones. Index Terms--Bounded-real-lemma (BRL), H [infinity] control, linear matrix inequality (LMI), parameter-dependent Lyapunov function, polytopic uncertainty.
- Published
- 2005
32. Joint security and robustness enhancement for quantization based data embedding
- Author
-
Wu, Min
- Subjects
Image processing -- Equipment and supplies ,Watermarks -- Usage ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
This paper studies joint security and robustness enhancement of quantization-based data embedding for multimedia authentication applications. We present analysis showing that through a lookup table (LUT) of nontrivial run that maps quantized multimedia features randomly to binary data, the probability of detection error can be considerably smaller than the traditional quantization embedding. We quantify the security strength of LUT embedding and enhance its robustness through distortion compensation. Introducing a joint security and capacity measure, we show that the proposed distortion-compensated LUT embedding provides joint enhancement of security and robustness over the traditional quantization embedding. Index Terms--Data hiding, digital watermarking, distortion compensation, joint security and robustness enhancement, lookup table (LUT) embedding.
- Published
- 2003
33. Data hiding in image and video: part II -- designs and applications
- Author
-
Wu, Min, Yu, Heather, and Liu, Bede
- Subjects
Watermarks -- Research ,Image processing -- Research ,Digital video -- Research ,Digital video ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
In this, Part II of a two-part paper, general solutions to fundamental issues of data hiding are presented and discussed.
- Published
- 2003
34. Data hiding in image and video: part I -- fundamental issues and solutions
- Author
-
Wu, Min and Liu, Bede
- Subjects
Digital video -- Research ,Image processing -- Research ,Watermarks -- Research ,Digital video ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
In this, Part I of a two-part paper, fundamental issues of data hiding in image and video are examined. Various solutions are proposed.
- Published
- 2003
35. Anti-collusion fingerprinting for multimedia
- Author
-
Trappe, Wade, Wu, Min, Wang, Jane, and Liu, K.J. Ray
- Subjects
Copyright infringement -- Research ,Copyright infringement -- Prevention ,Signal processing -- Research ,Digital signal processor ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
The problem of fingerprinting multimedia content that can deal with collusion attacks is investigated and discussed.
- Published
- 2003
36. Performance-effective and low-complexity task scheduling for heterogeneous computing
- Author
-
Topcuoglu, Haluk, Hariri, Salim, and Wu, Min-You
- Subjects
Computers -- Research ,Computer industry -- Research ,Distributed processing (Computers) -- Research ,Parallel processing -- Research ,Distributed processing (Computers) ,Parallel processing ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
Two algorithms are proposed, for scheduling application graphs onto a system of heterogeneous processors. The algorithms are called Earliest-Finish-Time (HEFT) and Critical-Path-on-a-Processor (CPOP).
- Published
- 2002
37. A review: self-healing in cementitious materials and engineered cementitious composite as a self-healing material
- Author
-
Wu, Min, Johannesson, Bjorn, and Geiker, Mette
- Subjects
Powders -- Mechanical properties ,Calcite crystals -- Mechanical properties ,Epoxy resins -- Mechanical properties ,Fractures -- Mechanical properties ,Medicine, Experimental -- Mechanical properties ,Building -- Green market -- Mechanical properties ,Polymethylmethacrylate -- Green market -- Mechanical properties ,Clathrate compounds -- Green market -- Mechanical properties ,Carbonates -- Green market -- Mechanical properties ,Methyl methacrylate -- Green market -- Mechanical properties ,Building materials industry -- Green market -- Mechanical properties ,Shape-memory alloys -- Green market -- Mechanical properties ,Biological apparatus and supplies -- Green market -- Mechanical properties ,Cement -- Green market -- Mechanical properties ,Hydrates -- Green market -- Mechanical properties ,Medical research -- Mechanical properties ,Gypsum -- Green market -- Mechanical properties ,Polymerization -- Mechanical properties ,Carbonate minerals -- Green market -- Mechanical properties ,Polyethylene terephthalate -- Green market -- Mechanical properties ,Hydroxides -- Green market -- Mechanical properties ,Bridges -- Mechanical properties ,Polymers -- Green market -- Mechanical properties ,Permeability -- Mechanical properties ,Lumber industry -- Green market -- Mechanical properties ,Adhesives -- Green market -- Mechanical properties ,Construction industry -- Green market -- Mechanical properties ,Soil-cement construction -- Green market -- Mechanical properties ,Bacteria -- Mechanical properties ,Nitriles -- Green market -- Mechanical properties ,Carbamates -- Green market -- Mechanical properties ,Alloys -- Green market -- Mechanical properties ,Calcium carbonate -- Green market -- Mechanical properties ,Business ,Construction and materials industries - Abstract
ABSTRACT Cementitious materials are the most widely used building materials all over the word. However, deterioration is inevitable even since the very beginning of the service life, then maintenance and [...]
- Published
- 2012
- Full Text
- View/download PDF
38. Wetting transition of the confined receding meniscus with tailing bead formation
- Author
-
Xin Fu, Wu Min, Rui Su, and Liang Hu
- Subjects
Materials science ,business.product_category ,Mechanics ,Lubrication theory ,Condensed Matter::Soft Condensed Matter ,Physics::Fluid Dynamics ,Bead (woodworking) ,Contact angle ,Viscosity ,Colloid and Surface Chemistry ,Wetting transition ,Critical point (thermodynamics) ,Meniscus ,Inclined plane ,business - Abstract
Wetting transition of the confined receding meniscus is determined by two independent mechanisms, related to the apparent receding contact angle and the inclined contact lines, respectively. The coexistence of the two mechanisms impacts the geometry of the meniscus. An experiment is designed to observe the shape of a confined droplet when it is horizontally stretched by a plate. It is found that wetting transition is delayed with a tailing bead formed in the rear of the confined receding meniscus, and occurs at the critical point determined by the microscopic physical characteristics in the inner region of the contact line. Through experimental and numerical analysis, the confined droplet is found to be characterized similarly to the classical models of the liquid film on a plate vertically dragged out of a liquid reservoir and the droplet sliding on an inclined plane. The formation of the tailing bead is owing to the balance of viscosity and capillarity, and its shape can be described in the framework of lubrication theory. However, the tailing bead also shows some unique features. The formation of tailing bead marks that the dominant features of the meniscus convert from two-dimensional ones to three-dimensional ones; besides, it is irrelevant to gravity. The tailing bead formation and the selection of critical point reflect that the physical principles of the inner contact line region have a stronger influence on wetting transition than those of the outer contact line region.
- Published
- 2021
- Full Text
- View/download PDF
39. Depth-Preserving Stereo Image Retargeting Based on Pixel Fusion
- Author
-
Wu Min, Feng Wu, Changqing Zhang, Chunping Hou, Nam Ling, and Jianjun Lei
- Subjects
Pixel ,Color image ,business.industry ,Computer science ,Template matching ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Pixel connectivity ,020207 software engineering ,02 engineering and technology ,Computer Science Applications ,Distortion ,Signal Processing ,Retargeting ,0202 electrical engineering, electronic engineering, information engineering ,Media Technology ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,Electrical and Electronic Engineering ,business ,Image resolution ,ComputingMethodologies_COMPUTERGRAPHICS ,Feature detection (computer vision) - Abstract
In this paper, we propose a pixel fusion-based stereo image retargeting method, which could adaptively retarget stereo images with flexible aspect ratios, simultaneously preserving the depth. Retargeting each image independently by the pixel fusion method ignores the disparity relationship between pixels in the image pair and hence will introduce the distortion of disparity. To address this issue, we advocate to extend the single pixel fusion-based way to be applicable for stereo image pair. First, seams are selected based on the energy function, which simultaneously considers the seam selecting and seam matching. Second, a seam-matching-based matching map is proposed to preserve the disparity relationship between image pair. Then, the scaling factors for the left image are assigned considering both the important object and depth preservation. Subsequently, the scaling factors for the right image are obtained according to the proposed matching map. Based on these scaling factors, the stereo image pair is retargeted with pixel fusion. In contrast to removing pixels to resize image, the way of pixel fusion can obtain more smooth results with less depth distortion. Experimental results demonstrate that our method achieves more preferable qualities in both depth and shape preservation for stereo image retargeting.
- Published
- 2017
- Full Text
- View/download PDF
40. Application of Modern Management Technology in the Organization and Implementation of U.S. Aircraft Carrier Logistics Support
- Author
-
Sun Yunzhou, Wu Min, and Wu Qin
- Subjects
Engineering ,business.industry ,business - Published
- 2020
- Full Text
- View/download PDF
41. Novel Molecular Targets Participating in Myocardial Ischemia-Reperfusion Injury and Cardioprotection
- Author
-
Masayuki Fujino, Chen Chen, Nan-Bo Liu, Ping Zhu, Wu Min, Xiao-Kang Li, and Huang Jingsong
- Subjects
Cardioprotection ,0303 health sciences ,medicine.medical_specialty ,lcsh:Diseases of the circulatory (Cardiovascular) system ,Myocardial ischemia ,business.industry ,Review Article ,030204 cardiovascular system & hematology ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,lcsh:RC666-701 ,Heart failure ,medicine ,Molecular targets ,Myocardial infarction ,Cardiology and Cardiovascular Medicine ,Intensive care medicine ,business ,Reperfusion injury ,030304 developmental biology - Abstract
Worldwide morbidity and mortality from acute myocardial infarction (AMI) and related heart failure remain high. While effective early reperfusion of the criminal coronary artery after a confirmed AMI is the typical treatment at present, collateral myocardial ischemia-reperfusion injury (MIRI) and pertinent cardioprotection are still challenging to address and have inadequately understood mechanisms. Therefore, unveiling the related novel molecular targets and networks participating in triggering and resisting the pathobiology of MIRI is a promising and valuable frontier. The present study specifically focuses on the recent MIRI advances that are supported by sophisticated bio-methodology in order to bring the poorly understood interrelationship among pro- and anti-MIRI participant molecules up to date, as well as to identify findings that may facilitate the further investigation of novel targets.
- Published
- 2019
42. On runtime parallel scheduling for processor load balancing
- Author
-
Wu, Min-You
- Subjects
Parallel processing -- Research ,Load balancing (Computers) -- Methods ,Algorithms -- Usage ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
Runtime parallel scheduling provides high-quality low overhead load balancing using global load information. A synchronous approach removes the stability problem in parallel scheduling, which combines the advantages of static scheduling and dynamic scheduling. The method involves cooperation between all the processors to collect load information and exchange workload in parallel. This reduces the cost of communication. Algorithms for tree, hypercube and mesh networks are discussed.
- Published
- 1997
43. Runtime incremental parallel scheduling (RIPS) on distributed memory computers
- Author
-
Shu, Wei and Wu, Min-You
- Subjects
Algorithms -- Innovations ,Scheduling (Management) -- Research ,Distributed processing (Computers) -- Analysis ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
Runtime incremental parallel scheduling (RIPS) combines the merits of static and dynamic scheduling to design the scheduling process in distributed memory computers. Computation work alternates with the scheduling exercise to produce efficient load balancing and low-overhead. The algorithm uses the global load information and reduces the number of tasks to be registered. RIPS removes stability problems and is applicable to many problems. Methods for scheduling a single job on parallel machine are highlighted. Previous works are reviewed and experimental study is presented.
- Published
- 1996
44. On the Internal Control and Audit of Computer Accounting
- Author
-
Wu Min
- Subjects
History ,business.industry ,Control (management) ,Accounting ,Audit ,business ,Computer Science Applications ,Education - Abstract
Driven by the rapid development of the information age, information technology has been widely used in various fields, especially in the accounting work of enterprises. From the perspective of information risk, the improvement of computer technology and the degree of informationization not only bring the informationization and high efficiency of enterprise accounting treatment, but also bring many risks. In the face of increasingly fierce market competition, in order to achieve better development, we must attach importance to internal control audit, continuously improve work quality and efficiency, and win a longer-term development prospect for enterprises. In the face of increasingly fierce market competition, in order to obtain better development, we must attach importance to internal control audit, constantly improve the quality and efficiency of work, so as to win a more long-term development prospect for enterprises. This paper discusses the internal control audit of enterprises under the condition of accounting computerization, and puts forward the corresponding countermeasures to improve the internal control and audit of computer accounting in Chinese enterprises.
- Published
- 2021
- Full Text
- View/download PDF
45. Asynchronous problems on SIMD parallel computers
- Author
-
Shu, Wei and Wu, Min-You
- Subjects
Parallel computers -- Research ,Load balancing (Computers) -- Research ,Kernel functions -- Research ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
A study of a thread-based runtime support system, named P kernel, which can run multiple instruction multiple data (MIMD) software on single instruction multiple data (SIMD) shows that for application problems with irregular and/or unpredictable features, automatic scheduling can move some thread from overloaded processors to underloaded processors. Furthermore, the granularity of threads can be controlled to reduce system overhead. The P kernel is also able to handle book keeping and message management, as well as to make these lowering level tasks user-friendly.
- Published
- 1995
46. High Mobility Group Box 1 and Traumatic Brain Injury
- Author
-
Seidu A. Richard, Wu Min, Zhaoliang Su, and Huaxi Xu
- Subjects
0301 basic medicine ,Damp ,Pathology ,medicine.medical_specialty ,biology ,business.industry ,Traumatic brain injury ,chemical and pharmacologic phenomena ,Brain damage ,medicine.disease ,HMGB1 ,Cerebral edema ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,nervous system ,biology.protein ,TLR4 ,Medicine ,medicine.symptom ,business ,Receptor ,Pathological ,030217 neurology & neurosurgery - Abstract
Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. We identify High Mobility Group Box 1 (HMGB1) as a novel causative factor in the development of cerebral oedema, mediating coagulation, preventing secondary brain damage as well as serving as a novel therapeutic target to limit secondary neurological injury after TBI. As a prototypical danger associated molecular patterns (DAMP), HMGB1 is released from necrotic neurons via a NR2B-mediated mechanism during TBI. The secretion of HMGB1 requires severe injury and tissue hypoperfusion, and is associated with posttraumatic coagulation abnormalities, activation of complement and severe systemic inflammatory response. HMGB1 is clinically associated with elevated intracranial pressure (ICP) in patients and functionally promoted cerebral edema after TBI. The detrimental effects of HMGB1 is mediated at least in part between activation of microglial toll-like receptor 4 (TLR4) and the subsequent expression of the astrocytic water channel aquaporin-4 (AQP4). Anti-HMGB1mAb remarkably inhibited fluid percussion-induced brain edema by inhibiting HMGB1 translocation, protection of blood-brain barrier (BBB) integrity, suppression of inflammatory molecule expression and improvement of motor function. Our review demonstrates the pathological role of HMGB1 as well as the possible therapeutic valve of HMGB1 in patients with TBI.
- Published
- 2017
- Full Text
- View/download PDF
47. Truth telling for patients with esophageal squamous cell carcinoma in Henan, China
- Author
-
Zhang Lian-Qun, Chen Pei-Nan, Wang Hai-Ling, Sun Li, Zhao Xue-Ke, Song Xin, Wu Min-Jie, Zhang Tang-Juan, Ji Ling-Fen, Han Wei-Li, Fan Zong-Min, Yuan Yuan, Yang Hai-Jun, Wang Jian-Po, Zhou Fu-You, Qi Yi-Jun, and Wang Li-Dong
- Subjects
Cancer Research ,medicine.medical_specialty ,Multivariate analysis ,diagnosis ,Esophageal squamous cell carcinoma ,lcsh:RC254-282 ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,030212 general & internal medicine ,Family history ,China ,business.industry ,Advanced stage ,Cancer ,Truth telling ,medicine.disease ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Independent factor ,Surgery ,esophageal squamous cell carcinoma ,Oncology ,030220 oncology & carcinogenesis ,Original Article ,business - Abstract
Objective : This study aims to investigate the truth-telling status and the relevant factors of esophageal squamous cell carcinoma (ESCC) patients in Henan, China.Methods : A cross-sectional study from April to June 2015 using questionnaires was given to 301 family members of hospitalized ESCC patients based in three affiliated hospitals of Zhengzhou University (i.e., The First Hospital, The Second Hospital, and Tumor Hospital) and Anyang Tumor Hospital.Results : Among the 41.9% (126/301) hospitalized ESCC patients who knew of their true diagnoses, only 4.0% patients were informed by their corresponding responsible doctors, 39.7% by their family members, and 56.3% by themselves. Univariate analyses showed that disclosure of confirmed ESCC diagnosis to patients was correlated with gender, family history of cancer (FHC), education level, vocation, hospital administrative level, and attitudes of family members (P < 0.05). Furthermore, multivariate analysis indicated that attitude of family members was the most important and an independent factor for diagnosis disclosure. Those patients with a negative FHC, under-education, manual occupation, advanced stages, and hospitalized in municipal hospitals exhibited a low rate of truth telling.Conclusions : Truth telling for ESCC patients in Henan is not prevalent and may be improved through consultation with family members, particularly for patients with a negative FHC, poor education, manual occupation, and advanced stages.
- Published
- 2017
48. Hysteresis modeling and precision trajectory control for a new MFC micromanipulator
- Author
-
Yanding Wei, Geng Tian, Wu Min, Yiling Yang, Junqiang Lou, and Lei Fu
- Subjects
0209 industrial biotechnology ,Engineering ,business.industry ,Metals and Alloys ,Feed forward ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Tracking (particle physics) ,Displacement (vector) ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,law.invention ,Hysteresis ,020901 industrial engineering & automation ,Control theory ,law ,Trajectory ,Electrical and Electronic Engineering ,0210 nano-technology ,business ,Micromanipulator ,Actuator ,Instrumentation - Abstract
This paper presents the development, hysteresis modeling and precision trajectory tracking control of a new micromanipulator based on the macro-fiber-composite (MFC) actuator. As the MFC actuator consists of rectangular piezo ceramic fibers embedded in layers of epoxy and covered by interdigitated electrodes on both sides, the MFC actuator has several merits including the flexible nature, large output displacements, fast respond and high resolution. Consequently, the MFC micromanipulator exhibits excellent performances of a large output displacement up to 519.6 μm, a high resolution of 0.316 μm, and compact size. By means of the Bouc-Wen approach, the hysteresis model for the micromanipulator is established. Through an improved genetic algorithm, the optimal model parameters for the MFC micromanipulator are identified. In addition, to improve the trajectory tracking performance of the micromanipulator, a practical hybrid control scheme employing a feedforward controller combined with an incremental feedback controller is used. The hybrid control scheme can compensate the displacement hysteresis and eliminate the model errors. A series of experiments and validations were carried out and the experimental results validate the performance of micromanipulator and the effectiveness of the developed hybrid control scheme.
- Published
- 2016
- Full Text
- View/download PDF
49. Parallel computing and swarm intelligence based artificial intelligence model for multi-step-ahead hydrological time series prediction
- Author
-
Bao-fei Feng, Wen-jing Niu, Zhong-kai Feng, Yin-shan Xu, and Yao-wu Min
- Subjects
Artificial neural network ,Renewable Energy, Sustainability and the Environment ,Computer science ,business.industry ,Computer Science::Neural and Evolutionary Computation ,Geography, Planning and Development ,0211 other engineering and technologies ,Swarm behaviour ,Particle swarm optimization ,Transportation ,02 engineering and technology ,Parallel computing ,010501 environmental sciences ,01 natural sciences ,Swarm intelligence ,Local convergence ,Electric power system ,Fork (system call) ,021108 energy ,Artificial intelligence ,Time series ,business ,0105 earth and related environmental sciences ,Civil and Structural Engineering - Abstract
Accurate future runoff prediction information is of great importance for the planning and management of both water resource and electric power systems. As employed to address the hydrological forecasting problem, artificial neural network (ANN) exhibits strong generalization and flexibility, but usually suffers from some shortcomings in practice, like unsatisfying learning efficiency and local convergence. The goal of this research is to develop a parallel computing and swarm intelligence based artificial neural network for multi-step-ahead hydrological time series prediction. Specially, the connection weights and biases of the ANN model are incrementally optimized via a parallelized particle swarm optimization obeying the Fork/Join framework, where the large-scale swarm is divided into a series of small and independent subswarms that will search for the optimal solution in the feasible space at the same time. The proposed method is driven to forecast the runoff time series of two real-world hydrological stations in China. The simulations indicate that the proposed method betters the conventional forecasting methods with respect to various indexes in different cases. For instance, in the 2-step-ahead case, the proposed method betters ANN with about 6.4 % improvement in the Nash-Sutcliffe efficiency value during the testing phase. Hence, the main contribution of this research is the utilization of swarm intelligence algorithm and high-performance parallel computing technique to improve the artificial intelligence model’s performances in time series forecasting.
- Published
- 2021
- Full Text
- View/download PDF
50. Thunder Signal Detection via Deep Learning
- Author
-
An Chao, Heng Xu, Wu Min, Yu Wang, Biwu Yan, Zhang Han, Jian Li, and Shanqiang Gu
- Subjects
History ,Thunder ,Computer science ,business.industry ,Deep learning ,Frame (networking) ,Pattern recognition ,Signal ,Convolutional neural network ,GeneralLiterature_MISCELLANEOUS ,Computer Science Applications ,Education ,Robustness (computer science) ,Detection theory ,Artificial intelligence ,Mel-frequency cepstrum ,business - Abstract
In this paper, a thunder signal detection method is proposed based on the deep learning framework. The recorded thunder signal is segment-wise acquired, stored and pre-processed. In each frame, we use Mel Frequency Cepstrum Coefficient (MFCC) to extract the features of the thunder signal, which is consistent with the frequency characteristics of human perception. We then use the MFCC features derived in each frame to form a 3-channel tensor data, which is used as the further input to the designed convolutional neural network (CNN). The goal of CNN is to classify the existence of thunder for a single data frame. To improve the robustness of CNN, we included other confusing signals that are similar to thunder signals in the training and testing datasets. On the testing dataset, our proposed method outperforms the state-of-art methods in terms of accuracy, sensitivity, and specificity. Our proposed deep-learning-based thunder detection method not only increases the real-time performance of the lighting location system with thunder signals but also further improves the accuracy of other sound alarm systems.
- Published
- 2021
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.