91 results on '"Huang Rui"'
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2. Evaluation of the Gross Total Resection Rate of Suprasellar Pituitary Macroadenomas with and without the Removal of the Tuberculum Sellae Bone
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Huang Rui, Shigang Lv, Chen Peng, Haitao Luo, Juexian Xiao, Xingen Zhu, Yan Zhang, and Zujue Cheng
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Adenoma ,Adult ,Male ,Natural Orifice Endoscopic Surgery ,medicine.medical_specialty ,Neurosurgical Procedures ,Transsphenoidal approach ,Postoperative Complications ,Pituitary adenoma ,medicine ,Humans ,Pituitary Neoplasms ,Sella Turcica ,Aged ,Retrospective Studies ,Cerebrospinal Fluid Leak ,business.industry ,Incidence (epidemiology) ,Margins of Excision ,Odds ratio ,Middle Aged ,medicine.disease ,Gross Total Resection ,Confidence interval ,Surgery ,Treatment Outcome ,medicine.anatomical_structure ,Diabetes insipidus ,Tuberculum sellae ,Female ,Neurology (clinical) ,Nasal Cavity ,business ,Diabetes Insipidus - Abstract
Objective Improving the gross total resection (GTR) rate of suprasellar pituitary macroadenomas (SPMAs) using the pure endoscopic endonasal transsphenoidal approach (EETA) has been a long-standing focus of neurosurgeons. This study was aimed at evaluating the influences of the removal of the tuberculum sellae bone (TSB) without opening the dura of the tuberculum sellae on the GTR rate of SPMAs via the EETA. Methods We retrospectively analyzed medical reports of patients with SPMAs who underwent EETA between February 2015 and November 2020. Data on clinical manifestations, endocrinologic types, imaging features (Hardy classification, morphology, and texture), clinical outcomes, and TSB removal status were collected. All patients were followed up for 6 months postoperatively. Results Seventy-eight patients were enrolled in our study. The GTR rates of the TSB removal group (45/78, 57.7%) and nonremoval group (33/78, 42.3%) were 80.0% (36/45) and 57.6% (19/33), respectively. Univariate logistic regression analysis found that the removal of TSB, rounded morphology, and low Hardy classification were correlated with higher GTR rates. Multiple logistic regression analysis indicated that even after adjusting for tumor types and imaging features, the removal of TSB had an independent effect on the GTR rate (odds ratio, 7.6; 95% confidence interval, 1.8–31.6; P = 0.005). The incidence rates of postoperative cerebrospinal fluid leakage and diabetes insipidus were not significantly different between the TSB removal group and TSB nonremoval group. Conclusions TSB removal using EETA without opening the tuberculum sellae dura improves the GTR rate of SPMAs without increasing the incidence of postoperative complications.
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- 2021
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3. Spinal schwannoma causes acute subarachnoid haemorrhage: A case report and literature review
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Guo Yao, Huang Rui, Chen Peng, Zujue Cheng, and Juexian Xiao
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Male ,Ependymoma ,medicine.medical_specialty ,Subarachnoid hemorrhage ,Schwannoma ,Subarachnoid Space ,03 medical and health sciences ,0302 clinical medicine ,Spinal cord compression ,medicine ,Paralysis ,Humans ,Spinal Cord Neoplasms ,business.industry ,Middle Aged ,Subarachnoid Hemorrhage ,medicine.disease ,Spinal cord ,Magnetic Resonance Imaging ,Surgery ,Conus medullaris ,medicine.anatomical_structure ,Arachnoid mater ,030220 oncology & carcinogenesis ,Neurology (clinical) ,medicine.symptom ,business ,Spinal Cord Compression ,Neurilemmoma ,030217 neurology & neurosurgery - Abstract
Background Spinal schwannomas that arise from spinal nerve root sheaths are the most common intradural extramedullary spinal tumours and are often accompanied by nerve roots or spinal cord irritation symptoms. The phenomenon of spinal schwannoma causing subarachnoid haemorrhage (SAH) is rare, with ependymoma of the conus medullaris accounting for most cases. Case report A 45-year-old man was admitted to our hospital due to progressive lower limb weakness and sudden back pain after hard physical work. The patient had not been able to walk for 2 hours upon admission. An emergency magnetic resonance imaging (MRI) scan showed that the spinal cord at the C6-T4 level was severely compressed by a subdural mass. During the emergency operation, exploration of the dura and arachnoid mater revealed a fresh blood clot covering a tumour located on the ventral side of the spinal cord. The size of the tumour was approximately 3 × 2 × 1 cm without adhesion to the surrounding tissue, but the drainage vein was ruptured. Postoperative pathology showed that the tumour was a schwannoma with areas of fresh haemorrhage and focal necrosis. Conclusions Spinal schwannomas presenting with SAH are rare events. In our opinion, spinal pathology with rapid progression of neurological symptoms requires early diagnosis and emergency management. Complete excision of haemorrhagic tumours is the goal of treatment to prevent recurrence, which can effectively avoid irreversible damage to the spinal cord resulting from spinal cord compression.
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- 2021
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4. Nanochannel-confined growth of crystallographically orientated perovskite nanowire arrays for polarization-sensitive photodetector application
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Huang Rui, Jia-Yin Liu, Di-Hua Lin, Chunyan Wu, Di Wu, and Lin-Bao Luo
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Fabrication ,Materials science ,business.industry ,Nanowire ,Photodetector ,02 engineering and technology ,Specific detectivity ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Polarization (waves) ,01 natural sciences ,0104 chemical sciences ,Responsivity ,Polarization sensitive ,Optoelectronics ,General Materials Science ,0210 nano-technology ,business ,Perovskite (structure) - Abstract
Highly ordered perovskite nanowire (PNW) arrays are important building blocks for potential application in integrated optoelectronic devices due to their unique properties. Herein, a recordable digital versatile disk-assisted nanochannel-confined growth (NCG) strategy was developed for large-scale growth of different kinds of PNW arrays with preferentially crystallographic orientation on various substrates. Photodetector constructed from MAPbI3 NW arrays exhibits prominent photoresponse properties with a responsivity of 20.56 A W−1 and specific detectivity of 4.73 × 1012 Jones, respectively. What is more, the photodetector can function as a polarization-sensitive photodetector due to the crystallographic orientation of the one-dimensional PNW arrays, with a polarization ratio of 2.2. The proposed NCG strategy provides a cost-efficient and effective method for the fabrication of high-quality PNW arrays with potential applications in future integrated devices and systems.
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- 2021
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5. Direct Tellurization of Pt to Synthesize 2D PtTe2 for High-Performance Broadband Photodetectors and NIR Image Sensors
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Feng-Xia Liang, Wei Zhang, Can Fu, Di Wu, Zhongjun Li, Ya-Nan Lin, Xiao-Wei Tong, Huang Rui, Lin-Bao Luo, and Zhi-Xiang Zhang
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Materials science ,business.industry ,Photodetector ,Heterojunction ,02 engineering and technology ,Photoelectric effect ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Wavelength ,chemistry.chemical_compound ,chemistry ,Telluride ,Optoelectronics ,General Materials Science ,Quantum efficiency ,Density functional theory ,Image sensor ,0210 nano-technology ,business - Abstract
Platinum telluride (PtTe2) has garnered significant research enthusiasm owing to its unique characteristics. However, large-scale synthesis of PtTe2 toward potential photoelectric and photovoltaic application has not been explored yet. Herein, we report direct tellurization of Pt nanofilms to synthesize large-area PtTe2 films and the influence of growth conditions on the morphology of PtTe2. Electrical analysis reveals that the as-grown PtTe2 films exhibit typical semimetallic behavior, which is in agreement with the results of first-principles density functional theory (DFT) simulation. Moreover, the combination of multilayered PtTe2 and Si results in the formation of a PtTe2/Si heterojunction, exhibiting an obvious rectifying effect. Moreover, the PtTe2-based photodetector displays a broadband photoresponse to incident radiation in the range of 200-1650 nm, with the maximum photoresponse at a wavelength of ∼980 nm. The R and D* of the PtTe2-based photodetector are found to be 0.406 A W-1 and 3.62 × 1012 Jones, respectively. In addition, the external quantum efficiency is as high as 32.1%. On the other hand, the response time of τrise and τfall is estimated to be 7.51 and 36.7 μs, respectively. Finally, an image sensor composed of a 8 × 8 PtTe2-based photodetector array was fabricated, which can record five near-infrared (NIR) images under 980 nm with a satisfying resolution. The result demonstrates that the as-prepared PtTe2 material will be useful for application in NIR optoelectronics.
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- 2020
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6. Artificial Intelligence Diagnosis Technology of Multi-dimensional Information in finger Printing
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Zhang Ziyu and Huang Rui
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Computer science ,business.industry ,Multi dimensional ,General Medicine ,Artificial intelligence ,business - Published
- 2020
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7. Research on open channel irrigation decision system under the background of smart agriculture
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Huang Rui, Zhang Haobo, Li Jinmao, Pang Peng, and Yi Zheng
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business.industry ,Water flow ,Computer science ,Real-time computing ,Control (management) ,law.invention ,Software ,law ,Control system ,Production (economics) ,The Internet ,business ,Intelligent control ,Remote control - Abstract
In order to overcome the problems existing in the existing farmland irrigation control system, such as short control distance, more manpower, no visual information, lack of upper decision-making system and so on, this paper proposes a method of adding network decision-making and information acquisition function on the basis of the original farmland control system. This method can not only easily control multiple gates at the same time, but also realize water flow monitoring It has high controllable resolution and precise control, which makes the original single intelligent control device have Internet control ability. It is not only convenient for farmers to use, but also provides intuitive information basis, and provides data analysis basis for the optimization and promotion of the later stage of the research. The experimental results show that the farmland open channel irrigation decision-making system can be applied in a wide area, can easily realize remote control, no distance limit, the detection device is safe to use, easy to install, and has a high degree of intelligence, which provides convenience for agricultural production and management, and further improves the agricultural production efficiency.
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- 2021
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8. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
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Klionsky, Daniel, Abdel-Aziz, Amal Kamal, Abdelfatah, Sara, Abdellatif, Mahmoud, Abdoli, Asghar, Abel, Steffen, Abeliovich, Hagai, Abildgaard, Marie, Abudu, Yakubu Princely, Acevedo-Arozena, Abraham, Adamopoulos, Iannis, Adeli, Khosrow, Adolph, Timon, Adornetto, Annagrazia, Aflaki, Elma, Agam, Galila, Agarwal, Anupam, Aggarwal, Bharat, Agnello, Maria, Agostinis, Patrizia, Agrewala, Javed, Agrotis, Alexander, Aguilar, Patricia, Ahmad, S Tariq, Ahmed, Zubair, Ahumada-Castro, Ulises, Aits, Sonja, Aizawa, Shu, Akkoc, Yunus, Akoumianaki, Tonia, Akpinar, Hafize Aysin, Al-Abd, Ahmed, Al-Akra, Lina, Al-Gharaibeh, Abeer, Alaoui-Jamali, Moulay, Alberti, Simon, Alcocer-Gómez, Elísabet, Alessandri, Cristiano, Ali, Muhammad, Alim Al-Bari, M Abdul, Aliwaini, Saeb, Alizadeh, Javad, Almacellas, Eugènia, Almasan, Alexandru, Alonso, Alicia, Alonso, Guillermo, Altan-Bonnet, Nihal, Altieri, Dario, Álvarez, Élida, Alves, Sara, Alves Da Costa, Cristine, Alzaharna, Mazen, Amadio, Marialaura, Amantini, Consuelo, Amaral, Cristina, Ambrosio, Susanna, Amer, Amal, Ammanathan, Veena, An, Zhenyi, Andersen, Stig, Andrabi, Shaida, Andrade-Silva, Magaiver, Andres, Allen, Angelini, Sabrina, Ann, David, Anozie, Uche, Ansari, Mohammad, Antas, Pedro, Antebi, Adam, Antón, Zuriñe, Anwar, Tahira, Apetoh, Lionel, Apostolova, Nadezda, Araki, Toshiyuki, Araki, Yasuhiro, Arasaki, Kohei, Araújo, Wagner, Araya, Jun, Arden, Catherine, Arévalo, Maria-Angeles, Arguelles, Sandro, Arias, Esperanza, Arikkath, Jyothi, Arimoto, Hirokazu, Ariosa, Aileen, Armstrong-James, Darius, Arnauné-Pelloquin, Laetitia, Aroca, Angeles, Arroyo, Daniela, Arsov, Ivica, Artero, Rubén, Asaro, Dalia Maria Lucia, Aschner, Michael, Ashrafizadeh, Milad, Ashur-Fabian, Osnat, Atanasov, Atanas, Au, Alicia, Auberger, Patrick, Auner, Holger, Aurelian, Laure, Autelli, Riccardo, Avagliano, Laura, Ávalos, Yenniffer, Aveic, Sanja, Aveleira, Célia Alexandra, Avin-Wittenberg, Tamar, Aydin, Yucel, Ayton, Scott, Ayyadevara, Srinivas, Azzopardi, Maria, Baba, Misuzu, Backer, Jonathan, Backues, Steven, Bae, Dong-Hun, Bae, Ok-Nam, Bae, Soo Han, Baehrecke, Eric, Baek, Ahruem, Baek, Seung-Hoon, Baek, Sung Hee, Bagetta, Giacinto, Bagniewska-Zadworna, Agnieszka, Bai, Hua, Bai, Jie, Bai, Xiyuan, Bai, Yidong, Bairagi, Nandadulal, Baksi, Shounak, Balbi, Teresa, Baldari, Cosima, Balduini, Walter, Ballabio, Andrea, Ballester, Maria, Balazadeh, Salma, Balzan, Rena, Bandopadhyay, Rina, Banerjee, Sreeparna, Banerjee, Sulagna, Bánréti, Ágnes, Bao, Yan, Baptista, Mauricio, Baracca, Alessandra, Barbati, Cristiana, Bargiela, Ariadna, Barilà, Daniela, Barlow, Peter, Barmada, Sami, Barreiro, Esther, Barreto, George, Bartek, Jiri, Bartel, Bonnie, Bartolome, Alberto, Barve, Gaurav, Basagoudanavar, Suresh, Bassham, Diane, Bast, Robert, Basu, Alakananda, Batoko, Henri, Batten, Isabella, Baulieu, Etienne, Baumgarner, Bradley, Bayry, Jagadeesh, Beale, Rupert, Beau, Isabelle, Beaumatin, Florian, Bechara, Luiz, Beck, George, Beers, Michael, Begun, Jakob, Behrends, Christian, Behrens, Georg, Bei, Roberto, Bejarano, Eloy, Bel, Shai, Behl, Christian, Belaid, Amine, Belgareh-Touzé, Naïma, Bellarosa, Cristina, Belleudi, Francesca, Belló Pérez, Melissa, Bello-Morales, Raquel, Beltran, Jackeline Soares de Oliveira, Beltran, Sebastián, Benbrook, Doris Mangiaracina, Bendorius, Mykolas, Benitez, Bruno, Benito-Cuesta, Irene, Bensalem, Julien, Berchtold, Martin, Berezowska, Sabina, Bergamaschi, Daniele, Bergami, Matteo, Bergmann, Andreas, Berliocchi, Laura, Berlioz-Torrent, Clarisse, Bernard, Amélie, Berthoux, Lionel, Besirli, Cagri, Besteiro, Sebastien, Betin, Virginie, Beyaert, Rudi, Bezbradica, Jelena, Bhaskar, Kiran, Bhatia-Kissova, Ingrid, Bhattacharya, Resham, Bhattacharya, Sujoy, Bhattacharyya, Shalmoli, Bhuiyan, Md Shenuarin, Bhutia, Sujit Kumar, Bi, Lanrong, Bi, Xiaolin, Biden, Trevor, Bijian, Krikor, Billes, Viktor, Binart, Nadine, Bincoletto, Claudia, Birgisdottir, Asa, Bjorkoy, Geir, Blanco, Gonzalo, Blas-Garcia, Ana, Blasiak, Janusz, Blomgran, Robert, Blomgren, Klas, Blum, Janice, Boada-Romero, Emilio, Boban, Mirta, Boesze-Battaglia, Kathleen, Boeuf, Philippe, Boland, Barry, Bomont, Pascale, Bonaldo, Paolo, Bonam, Srinivasa Reddy, Bonfili, Laura, Bonifacino, Juan, Boone, Brian, Bootman, Martin, Bordi, Matteo, Borner, Christoph, Bornhauser, Beat, Borthakur, Gautam, Bosch, Jürgen, Bose, Santanu, botana, luis, Botas, Juan, Boulanger, Chantal, Boulton, Michael, Bourdenx, Mathieu, Bourgeois, Benjamin, Bourke, Nollaig, Bousquet, Guilhem, Boya, Patricia, Bozhkov, Peter, Bozi, Luiz, Bozkurt, Tolga, Brackney, Doug, Brandts, Christian, Braun, Ralf, Braus, Gerhard, Bravo-Sagua, Roberto, Bravo-San Pedro, José, Brest, Patrick, Bringer, Marie-Agnès, Briones-Herrera, Alfredo, Broaddus, V Courtney, Brodersen, Peter, Brodsky, Jeffrey, Brody, Steven, Bronson, Paola, Bronstein, Jeff, Brown, Carolyn, Brown, Rhoderick, Brum, Patricia, Brumell, John, Brunetti-Pierri, Nicola, Bruno, Daniele, Bryson-Richardson, Robert, Bucci, Cecilia, Buchrieser, Carmen, Bueno, Marta, Buitrago-Molina, Laura Elisa, Buraschi, Simone, Buch, Shilpa, Buchan, J Ross, Buckingham, Erin, Budak, Hikmet, Budini, Mauricio, Bultynck, Geert, Burada, Florin, Burgoyne, Joseph, Burón, M Isabel, Bustos, Victor, Büttner, Sabrina, Butturini, Elena, Byrd, Aaron, Cabas, Isabel, Cabrera-Benitez, Sandra, Cadwell, Ken, Cai, Jingjing, Cai, Lu, Cai, Qian, Cairó, Montserrat, Calbet, Jose, Caldwell, Guy, Caldwell, Kim, Call, Jarrod, Calvani, Riccardo, Calvo, Ana, Calvo-Rubio Barrera, Miguel, Camara, Niels OS, Camonis, Jacques, Camougrand, Nadine, Campanella, Michelangelo, Campbell, Edward, Campbell-Valois, François-Xavier, Campello, Silvia, Campesi, Ilaria, Campos, Juliane, Camuzard, Olivier, Cancino, Jorge, Candido de Almeida, Danilo, Canesi, Laura, Caniggia, Isabella, Canonico, Barbara, Cantí, Carles, Cao, Bin, Caraglia, Michele, Caramés, Beatriz, Carchman, Evie, Cardenal-Muñoz, Elena, Cardenas, Cesar, Cardenas, Luis, Cardoso, Sandra, Carew, Jennifer, Carle, Georges, Carleton, Gillian, Carloni, Silvia, Carmona-Gutierrez, Didac, Carneiro, Leticia, Carnevali, Oliana, Carosi, Julian, Carra, Serena, Carrier, Alice, Carrier, Lucie, Carroll, Bernadette, Carter, A Brent, Carvalho, Andreia Neves, Casanova, Magali, Casas, Caty, Casas, Josefina, Cassioli, Chiara, Castillo, Eliseo, Castillo, Karen, Castillo-Lluva, Sonia, Castoldi, Francesca, Castori, Marco, Castro, Ariel, Castro-Caldas, Margarida, Castro-Hernandez, Javier, Castro-Obregon, Susana, Catz, Sergio, Cavadas, Claudia, Cavaliere, Federica, Cavallini, Gabriella, Cavinato, Maria, Cayuela, Maria, Cebollada Rica, Paula, Cecarini, Valentina, Cecconi, Francesco, Cechowska-Pasko, Marzanna, Cenci, Simone, Ceperuelo-Mallafré, Victòria, Cerqueira, João, Cerutti, Janete, Cervia, Davide, Cetintas, Vildan Bozok, Cetrullo, Silvia, Chae, Han-Jung, Chagin, Andrei, Chai, Chee-Yin, Chakrabarti, Gopal, Chakrabarti, Oishee, Chakraborty, Tapas, Chakraborty, Trinad, Chami, mounia, Chamilos, Georgios, Chan, David, Chan, Edmond, Chan, Edward, Chan, H.Y. Edwin, Chan, Helen, Chan, Hung, Chan, Matthew, Chan, Yau Sang, Chandra, Partha, Chang, Chih-Peng, Chang, Chunmei, Chang, Hao-Chun, Chang, Kai, Chao, Jie, Chapman, Tracey, Charlet-Berguerand, Nicolas, Chatterjee, Samrat, Chaube, Shail, Chaudhary, Anu, Chauhan, Santosh, Chaum, Edward, Checler, Frédéric, Cheetham, Michael, Chen, Chang-Shi, Chen, Guang-Chao, Chen, Jian-Fu, Chen, Liam, Chen, Leilei, Chen, Lin, Chen, Mingliang, Chen, Mu-Kuan, Chen, Ning, Chen, Quan, Chen, Ruey-Hwa, Chen, Shi, Chen, Wei, Chen, Weiqiang, Chen, Xin-Ming, Chen, Xiong-Wen, Chen, Xu, Chen, Yan, Chen, Ye-Guang, Chen, Yingyu, Chen, Yongqiang, Chen, Yu-Jen, Chen, Yue-Qin, Chen, Zhefan Stephen, Chen, Zhi, Chen, Zhi-Hua, Chen, Zhijian, Chen, Zhixiang, Cheng, Hanhua, Cheng, Jun, Cheng, Shi-Yuan, Cheng, Wei, Cheng, Xiaodong, Cheng, Xiu-Tang, Cheng, Yiyun, Cheng, Zhiyong, Chen, Zhong, Cheong, Heesun, Cheong, Jit Kong, Chernyak, Boris, Cherry, Sara, Cheung, Chi Fai Randy, Cheung, Chun Hei Antonio, Cheung, King-Ho, Chevet, Eric, Chi, Richard, Chiang, Alan Kwok Shing, Chiaradonna, Ferdinando, Chiarelli, Roberto, Chiariello, Mario, Chica, Nathalia, Chiocca, Susanna, Chiong, Mario, Chiou, Shih-Hwa, Chiramel, Abhilash, Chiurchiù, Valerio, Cho, Dong-Hyung, Choe, Seong-Kyu, Choi, Augustine, Choi, Mary, Choudhury, Kamalika Roy, Chow, Norman, Chu, Charleen, Chua, Jason, Chua, John Jia En, Chung, Hyewon, Chung, Kin Pan, Chung, Seockhoon, Chung, So-Hyang, Chung, Yuen-Li, Cianfanelli, Valentina, Ciechomska, Iwona, Cifuentes, Mariana, Cinque, Laura, Cirak, Sebahattin, Cirone, Mara, Clague, Michael, Clarke, Robert, Clementi, Emilio, Coccia, Eliana, Codogno, Patrice, Cohen, Ehud, Cohen, Mickael, Colasanti, Tania, Colasuonno, Fiorella, Colbert, Robert, Colell, Anna, Čolić, Miodrag, Coll, Nuria, Collins, Mark, Colombo, María, Colón-Ramos, Daniel, Combaret, Lydie, Comincini, Sergio, Cominetti, Márcia, Consiglio, Antonella, Conte, Andrea, Conti, Fabrizio, Contu, Viorica Raluca, Cookson, Mark, Coombs, Kevin, Coppens, Isabelle, Corasaniti, Maria Tiziana, Corkery, Dale, Cordes, Nils, Cortese, Katia, Costa, Maria do Carmo, Costantino, Sarah, Costelli, Paola, Coto-Montes, Ana, Crack, Peter, Crespo, Jose, Criollo, Alfredo, Crippa, Valeria, Cristofani, Riccardo, Csizmadia, Tamas, Cuadrado, Antonio, Cui, Bing, Cui, Jun, Cui, Yixian, Cui, Yong, Culetto, Emmanuel, Cumino, Andrea, Cybulsky, Andrey, Czaja, Mark, Czuczwar, Stanislaw, D'Adamo, Stefania, D'Amelio, Marcello, D'Arcangelo, Daniela, D'Lugos, Andrew, D'Orazi, Gabriella, da Silva, James, Dafsari, Hormos Salimi, Dagda, Ruben, Dagdas, Yasin, Daglia, Maria, Dai, Xiaoxia, Dai, Yun, Dai, Yuyuan, Dal Col, Jessica, Dalhaimer, Paul, Dalla Valle, Luisa, Dallenga, Tobias, Dalmasso, Guillaume, Damme, Markus, Dando, Ilaria, Dantuma, Nico, Darling, April, Das, Hiranmoy, Dasarathy, Srinivasan, Dasari, Santosh, Dash, Srikanta, Daumke, Oliver, Dauphinee, Adrian, Davies, Jeffrey, Dávila, Valeria, Davis, Roger, Davis, Tanja, Dayalan Naidu, Sharadha, De Amicis, Francesca, De Bosscher, Karolien, De Felice, Francesca, De Franceschi, Lucia, De Leonibus, Chiara, de Mattos Barbosa, Mayara, De Meyer, Guido, De Milito, Angelo, De Nunzio, Cosimo, De Palma, Clara, De Santi, Mauro, De Virgilio, Claudio, De Zio, Daniela, Debnath, Jayanta, DeBosch, Brian, Decuypere, Jean-Paul, Deehan, Mark, Deflorian, Gianluca, DeGregori, James, Dehay, Benjamin, Del Rio, Gabriel, Delaney, Joe, Delbridge, Lea, Delorme-Axford, Elizabeth, Delpino, M Victoria, Demarchi, Francesca, Dembitz, Vilma, Demers, Nicholas, Deng, Hongbin, Deng, Zhiqiang, Dengjel, Joern, Dent, Paul, Denton, Donna, DePamphilis, Melvin, Der, Channing, Deretic, Vojo, Descoteaux, Albert, Devis, Laura, Devkota, Sushil, Devuyst, Olivier, Dewson, Grant, Dharmasivam, Mahendiran, Dhiman, Rohan, di Bernardo, Diego, Di Cristina, Manlio, Di Domenico, Fabio, Di Fazio, Pietro, Di Fonzo, Alessio, Di Guardo, Giovanni, Di Guglielmo, Gianni, Di Leo, Luca, Di Malta, Chiara, Di Nardo, Alessia, Di Rienzo, Martina, Di Sano, Federica, Diallinas, George, Diao, Jiajie, Diaz-Araya, Guillermo, Díaz-Laviada, Inés, Dickinson, Jared, Diederich, Marc, Dieudé, Mélanie, Dikic, Ivan, Ding, Shiping, Ding, Wen-Xing, Dini, Luciana, Dinić, Jelena, Dinic, Miroslav, Dinkova-Kostova, Albena, Dionne, Marc, Distler, Jörg, Diwan, Abhinav, Dixon, Ian, Djavaheri-Mergny, Mojgan, Dobrinski, Ina, Dobrovinskaya, Oxana, Dobrowolski, Radek, Dobson, Renwick, Đokić, Jelena, Dokmeci Emre, Serap, Donadelli, Massimo, Dong, Bo, Dong, Xiaonan, Dong, Zhiwu, Dorn Ii, Gerald, Dotsch, Volker, Dou, Huan, Dou, Juan, Dowaidar, Moataz, Dridi, Sami, Drucker, Liat, Du, Ailian, Du, Caigan, Du, Guangwei, Du, Hai-Ning, Du, Li-Lin, du Toit, André, Duan, Shao-Bin, Duan, Xiaoqiong, Duarte, Sónia, Dubrovska, Anna, Dunlop, Elaine, Dupont, Nicolas, Durán, Raúl, Dwarakanath, Bilikere, Dyshlovoy, Sergey, Ebrahimi-Fakhari, Darius, Eckhart, Leopold, Edelstein, Charles, Efferth, Thomas, Eftekharpour, Eftekhar, Eichinger, Ludwig, Eid, Nabil, Eisenberg, Tobias, Eissa, N Tony, Eissa, Sanaa, Ejarque, Miriam, El Andaloussi, Abdeljabar, El-Hage, Nazira, El-Naggar, Shahenda, Eleuteri, Anna Maria, El-Shafey, Eman, Elgendy, Mohamed, Eliopoulos, Aristides, Elizalde, María, Elks, Philip, Elsasser, Hans-Peter, Elsherbiny, Eslam, Emerling, Brooke, Emre, N., Eng, Christina, Engedal, Nikolai, Engelbrecht, Anna-Mart, Engelsen, Agnete, Enserink, Jorrit, Escalante, Ricardo, Esclatine, Audrey, Escobar-Henriques, Mafalda, Eskelinen, Eeva-Liisa, Espert, Lucile, Eusebio, Makandjou-Ola, Fabrias, Gemma, Fabrizi, Cinzia, Facchiano, Antonio, Facchiano, Francesco, Fadeel, Bengt, Fader, Claudio, Faesen, Alex, Fairlie, W Douglas, Falcó, Alberto, Falkenburger, Bjorn, Fan, Daping, Fan, Jie, Fan, Yanbo, Fang, Evandro, Fang, Yanshan, Fang, Yognqi, Fanto, Manolis, Farfel-Becker, Tamar, Faure, Mathias, Fazeli, Gholamreza, Fedele, Anthony, Feldman, Arthur, Feng, Du, Feng, Jiachun, Feng, Lifeng, Feng, Yibin, Feng, Yuchen, Feng, Wei, Fenz Araujo, Thais, Ferguson, Thomas, Fernández, Álvaro, Fernandez-Checa, Jose, Fernández-Veledo, Sonia, Fernie, Alisdair, Ferrante, Anthony, Ferraresi, Alessandra, Ferrari, Merari, Ferreira, Julio, Ferro-Novick, Susan, Figueras, Antonio, Filadi, Riccardo, Filigheddu, Nicoletta, Filippi-Chiela, Eduardo, Filomeni, Giuseppe, Fimia, Gian Maria, Fineschi, Vittorio, Finetti, Francesca, Finkbeiner, Steven, Fisher, Edward, Fisher, Paul, Flamigni, Flavio, Fliesler, Steven, Flo, Trude, Florance, Ida, Florey, Oliver, Florio, Tullio, Fodor, Erika, Follo, Carlo, Fon, Edward, Forlino, Antonella, Fornai, Francesco, Fortini, Paola, Fracassi, Anna, Fraldi, Alessandro, Franco, Brunella, Franco, Rodrigo, Franconi, Flavia, Frankel, Lisa, Friedman, Scott, Fröhlich, Leopold, Frühbeck, Gema, Fuentes, Jose, Fujiki, Yukio, Fujita, Naonobu, Fujiwara, Yuuki, Fukuda, Mitsunori, Fulda, Simone, Furic, Luc, Furuya, Norihiko, Fusco, Carmela, Gack, Michaela, Gaffke, Lidia, Galadari, Sehamuddin, Galasso, Alessia, Galindo, Maria, Gallolu Kankanamalage, 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Sylvie, Giustiniani, Julien, Gluschko, Alexander, Goder, Veit, Goginashvili, Alexander, Golab, Jakub, Goldstone, David, Golebiewska, Anna, Gomes, Luciana, Gomez, Rodrigo, Gómez-Sánchez, Rubén, Gomez-Puerto, Maria Catalina, Gomez-Sintes, Raquel, Gong, Qingqiu, Goni, Felix, González-Gallego, Javier, Gonzalez-Hernandez, Tomas, Gonzalez-Polo, Rosa, Gonzalez-Reyes, Jose, González-Rodríguez, Patricia, Goping, Ing Swie, Gorbatyuk, Marina, Gorbunov, Nikolai, Görgülü, Kıvanç, Gorojod, Roxana, Gorski, Sharon, Goruppi, Sandro, Gotor, Cecilia, Gottlieb, Roberta, Gozes, Illana, Gozuacik, Devrim, Graef, Martin, Gräler, Markus, Granatiero, Veronica, Grasso, Daniel, Gray, Joshua, Green, Douglas, Greenhough, Alexander, Gregory, Stephen, Griffin, Edward, Grinstaff, Mark, Gros, Frederic, Grose, Charles, Gross, Angelina, Gruber, Florian, Grumati, Paolo, Grune, Tilman, Gu, Xueyan, Guan, Jun-Lin, Guardia, Carlos, Guda, Kishore, Guerra, Flora, Guerri, Consuelo, Guha, Prasun, Guillén, Carlos, Gujar, Shashi, 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, 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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, 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Chengyu, Liang, Qiangrong, Liang, Weicheng, Liang, Yongheng, Liang, YongTian, Liao, Guanghong, Liao, Lujian, Liao, Mingzhi, Liao, Yung-Feng, Librizzi, Mariangela, Lie, Pearl, Lilly, Mary, Lim, Hyunjung, Lima, Thania, Limana, Federica, Lin, Chao, Lin, Chih-Wen, Lin, Dar-Shong, Lin, Fu-Cheng, Lin, Jiandie, Lin, Kurt, Lin, Kwang-Huei, Lin, Liang-Tzung, LIN, Pei-Hui, Lin, Qiong, Lin, Shaofeng, Lin, Su-Ju, Lin, Wenyu, Lin, Xueying, Lin, Yao-Xin, Lin, Yee-Shin, Linden, Rafael, Lindner, Paula, Ling, Shuo-Chien, Lingor, Paul, Linnemann, Amelia, Liou, Yih-Cherng, Lipinski, Marta, Lipovšek, Saška, Lira, Vitor, Lisiak, Natalia, Liton, Paloma, Liu, Chao, Liu, Ching-Hsuan, Liu, Chun-Feng, Liu, Cui Hua, Liu, Fang, Liu, Hao, Liu, Hsiao-Sheng, Liu, Hua-feng, Liu, Huifang, Liu, Jia, Liu, Jing, Liu, Julia, Liu, Leyuan, Liu, Longhua, Liu, Meilian, Liu, Qin, Liu, Wei, Liu, Wende, Liu, Xiao-Hong, Liu, Xiaodong, Liu, Xingguo, Liu, Xu, Liu, Xuedong, Liu, Yanfen, Liu, Yang, Liu, Yueyang, Liu, Yule, 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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, 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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. 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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)
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0301 basic medicine ,Programmed cell death ,Settore BIO/06 ,Autophagosome ,Autolysosome ,[SDV]Life Sciences [q-bio] ,lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4] ,Autophagy-Related Proteins ,Review ,Computational biology ,[SDV.BC]Life Sciences [q-bio]/Cellular Biology ,Biology ,Settore MED/04 ,03 medical and health sciences ,stress ,Chaperone-mediated autophagy ,ddc:570 ,Autophagy ,LC3 ,Animals ,Humans ,cancer ,Settore BIO/10 ,flux ,lysosome ,macroautophagy ,neurodegeneration ,phagophore ,vacuole ,Set (psychology) ,Molecular Biology ,030102 biochemistry & molecular biology ,business.industry ,Interpretation (philosophy) ,Autophagosomes ,Cell Biology ,Multicellular organism ,030104 developmental biology ,Knowledge base ,Biological Assay ,Lysosomes ,business ,Biomarkers ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
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- 2021
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9. Social capital, collective transformational leadership, and performance: a resource-based view of self-managed teams
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Gupta, Vishal K., Huang, Rui, and Yayla, Ali A.
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Social capital (Sociology) -- Research ,Employee performance -- Research ,Leadership -- Research ,Business ,Human resources and labor relations - Abstract
This study examines the influence of social capital within self-managed teams on performance. Despite the growing popularity of the idea of social capital in teams, there is limited research on how social capital is related to performance. Invoking a resource-based framework, this study examines the relationship between social capital and performance in a longitudinal sample of teams managing athletic footwear companies in a business simulation context. It conceptualizes social capital as a higher- order construct with three dimensions: structural, relational, and cognitive. Results reveal that social capital interacts with collective transformational leadership in affecting performance. Overall, the study demonstrates that social capital does add value to the team, and within the proper context, facilitates superior team performance., A growing body of literature highlights the role of teams in modern organizations. The ability of team members to work together can improve the overall functioning of the organization (Marks [...]
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- 2011
10. Effects of knowledge spillover on inter-organizational resource sharing decision in collaborative knowledge creation
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Ding, Xiu-Hao and Huang, Rui-Hua
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Cost benefit analysis -- Analysis ,Industrial research -- Analysis ,Research and development ,Cost benefit analysis ,Business ,Business, general ,Business, international - Abstract
To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ejor.2009.04.008 Byline: Xiu-Hao Ding, Rui-Hua Huang Keywords: Cost benefit analysis; Knowledge spillover; Investment analysis; OR in research and development; Resource sharing Abstract: Collaborative knowledge creation is important for firms to gain new competitive advantages, but knowledge outgoing spillover harms their existing competitive advantages, which puts them into a dilemma when investing R&D resources. This study formalizes and investigates this dilemma using the Stackelberg leader-follower framework. Through our analyses, we find that, (1) current knowledge creation efforts and prior knowledge are substitutable in collaborative knowledge creation, and through controlling the ratio of current knowledge creation efforts to prior knowledge invested, the leader and the follower can gain benefits from collaboration and restrict knowledge outgoing spillover simultaneously; (2) because the leader invests resources first and faces moral hazards, it has the incentives to participate in collaborative knowledge creation only when its benefits from collaborative knowledge creation fruits and knowledge incoming spillover are bigger than those of the follower, and the more moral hazards it confronts, the more it demands; (3) the leader and the follower invest resources at ratios consistent with the benefits and costs the resources bring to them if they can determine the amount, or the collaboration is unstable. Author Affiliation: School of Management, Xi'an Jiaotong University, P.O. Mailbox 2341#, Xi'an, Shaanxi Province 710049, PR China Article History: Received 29 May 2008; Accepted 17 April 2009
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- 2010
11. Guidance, navigation, and control system design for tripropeller vertical-takeoff-and-landing unmanned air vehicle
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Huang, Rui, Liu, Yong, and Zhu, Jim J.
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Drone aircraft -- Control ,Drone aircraft -- Technology application ,Drone aircraft -- Equipment and supplies ,Flight control systems -- Design and construction ,Flight control systems -- Testing ,Flight control systems -- Technology application ,Technology application ,Aerospace and defense industries ,Business ,Science and technology - Abstract
In this paper, we present the design and development of the guidance, navigation, and control system of a small vertical-takeoff-and-landing unmanned air vehicle based on a 6 degrees-of-freedom nonlinear dynamic model. The vertical-takeoff-and-landing unmanned air vehicle is equipped with three propellers for vertical thrust, and thrust differential together with a set of yaw trim flaps are used for 3 degrees-of-freedom attitude and thrust control actuation. The focus is on the 6 degrees-of-freedom flight control algorithm design using the trajectory linearization control method, along with simulation verification and robustness tests. Hardware and software implementation of the flight controller and onboard navigation sensors are also briefly discussed. DOI: 10.2514/1.34476
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- 2009
12. Minimization design of normal force in synchronous permanent magnet planar motor with Halbach array
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Huang, Rui, Zhou, Jianpei, and Kim, Gyu-Tak
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Electric motors -- Properties ,Electric motors -- Analysis ,Genetic algorithms -- Analysis ,Magnets, Permanent -- Analysis ,Business ,Electronics ,Electronics and electrical industries - Abstract
This paper deals with the characteristics analysis and the normal force minimization of a synchronous permanent magnet planar motor (SPMPM) with a Halbach magnet array. The characteristics such as flux density, back-EMF and thrust are evaluated and compared with experimental values. The measured values of back-EMF are in good agreement with the simulation ones, but the experimental results of thrust are much smaller than those of simulation due to the friction force generated by the normal force. The normal force is minimized by using a genetic algorithm, and it is greatly decreased from 672.83 N to 144.24 N. Index Terms--Characteristics analysis of planar motor, genetic algorithm, Halbach permanent magnet array, minimization of normal force.
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- 2008
13. Impedance Measurement of 0.4kV Power Supply Line in the Station Area Based on the Smart Energy Meter
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Huang Rui, Libin Yang, Yang Maotao, Xing He, Linjin Xie, and Yu Minqi
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business.industry ,Computer science ,Electricity meter ,Electrical engineering ,Metre ,Line (text file) ,business ,Fault (power engineering) ,Low voltage ,Electrical impedance ,Power (physics) ,Voltage - Abstract
Develop a monitoring and management system based on a cloud platform, and finally implement related applications such as abnormal monitoring of the electric energy meter wiring process, wiring fault diagnosis, line aging assessment, and power outage warning analysis on the cloud platform, which can promptly warn the occurrence of power outages and comprehensively improve high-quality power supply services Level. Therefore, this paper proposes a method for phase line and neutral line impedance estimation of 0.4kV low voltage distribution network based on intelligent electricity meters. In this paper, the voltage of each sequence, current of each sequence, and information of complex power of each sequence of each node are extracted by intelligent electricity meter, and then the measurement of line impedance is completed piecewise. Finally, the impedance measurement model of the 0.4kV low-voltage distribution network was built. The simulation verification of the line impedance measurement was completed through the effective cooperation with the high-precision and high-synchronous sampling smart electricity meter supporting the impedance measurement and the acquisition terminal supporting the of the impedance measurement. The simulation results show that the line impedance measurement error is small, and the prediction of line loss and impedance trend can be completed effectively.
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- 2020
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14. Comprehensive Evaluation Method of Multi-meter Integrated Energy Metering Operating State Based on Hierarchical Structure
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Huang Rui, Chen Xiangqun, Zhang Zhi, Liu Mouhai, Lu Jun, and Lin Weiwei
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Structure (mathematical logic) ,Water heating ,business.industry ,Computer science ,Heat energy ,Reliability engineering ,Energy metering ,Metre ,Wireless ,Electricity ,State (computer science) ,business ,Multimeter ,Energy (signal processing) - Abstract
In view of the current lack of comprehensive evaluation of energy measurement system evaluation and the need for comprehensive measurement of electricity, water, gas and heat energy, a multi-table integrated energy measurement status evaluation method based on hierarchical structure is proposed. Based on the analysis of the comprehensive measurement indicators of electricity, water, gas and heat energy and the evaluation needs, a hierarchical evaluation index of the operating status of the multi-table integrated energy measurement system has been established. The comprehensive evaluation of the operation status of multimeter integration of energy measurement is realized through a hierarchical structure analysis method. Experimental analysis shows that this method can scientifically quantify the multimeter integrated energy measurement.
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- 2020
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15. Research on Dynamic Simulation System of Multidimensional Reservoirs
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Wu Heyu, Xiaohan Jin, Changhai Yu, Huang Rui, Wang Zengfei, and Wang Ruihe
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Dynamic simulation ,Data visualization ,Computer simulation ,business.industry ,Computer science ,Data management ,MathematicsofComputing_NUMERICALANALYSIS ,Systems engineering ,Solid modeling ,business ,System dynamics ,Visualization ,Data modeling - Abstract
Based on data management system, the dynamic simulation system of multidimensional reservoirs accomplishes research on reservoir fine description result managements, 3D model visualization and reservoir numerical simulation. In addition, it offers technical support for multidimensional linkage visualization, intelligent management and reservoir dynamic modeling and provides new technologies on the applications of fine reservoir description and technical support for stimulation measures.
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- 2020
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16. An effective adaptive dynamic evolution computing approach of roughing process for part with complex pockets
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Zhang Shusheng and Huang Rui
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0209 industrial biotechnology ,Geometric analysis ,business.industry ,Computer science ,Mechanical Engineering ,Process (computing) ,020207 software engineering ,Control engineering ,Process design ,Context (language use) ,02 engineering and technology ,Reuse ,Industrial and Manufacturing Engineering ,Computer Science Applications ,020901 industrial engineering & automation ,Machining ,Control and Systems Engineering ,Manufacturing ,0202 electrical engineering, electronic engineering, information engineering ,Undercut ,business ,Software - Abstract
With the increasing of the machining process data, machining process data-driven intelligent machining process planning is becoming more and more important in manufacturing industries. However, existing methods mainly focus on searching the similar NC processes for reference by designers, and the reuse process relies heavily on the experience and knowledge of designers, requiring significant human interactions. In this paper, a novel adaptive dynamic evolution computing approach of roughing process for part with complex pockets is proposed to reduce the burden of designers and improve the efficiency of NC programming. A locally inscribed circle (LIC) moving frame is established to guide the calculation of machining region (MR) and undercut region (UR) for complex pocket in roughing and to circumvent the self-intersection detection issue of whole feature contour offset, and the URs are categorized by the topological structure of its medial axis (MA) for roughing preliminary process scheme adaption. Roughing process adaptive evolution mechanism, including vertical and horizontal adaption, is explored to ensure the connectivity of roughing process context. Process design intent-driven decision-making for roughing process adaptive evolution is proposed to make up the deficiency from the geometric analysis perspective. A prototype system based on CATIA has been developed to verify the effectiveness of the proposed approach.
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- 2018
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17. Research and Design of High Power Concentrator Module System
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王聪聪 Wang Cong-cong, 张晓宁 Zhang Xiao-ning, 刘友强 Liu You-qiang, 郭丽敏 Guo Limin, 曹银花 Cao Yin-hua, 张红梅 Zhang Hong-mei, 王智勇 Wang Zhiyong, 赵明 Zhao Ming, and 黄瑞 Huang Rui
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Radiation ,Materials science ,business.industry ,Electrical engineering ,Condensed Matter Physics ,business ,Concentrator ,Electronic, Optical and Magnetic Materials ,Power (physics) - Published
- 2018
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18. Extensional, thickness-stretch and symmetric thickness-shear vibrations of piezoceramic disks
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Huang, Rui, Lee, Peter C.Y., Lin, Wen-Sen, and Yu, Jiun-Der
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Piezoelectric materials -- Research ,Business ,Electronics ,Electronics and electrical industries - Abstract
Two-dimensional (2-D), second-order approximate equations for extensional, thickness-stretch and symmetric thickness-shear vibrations of piezoelectric ceramic plates with electroded faces is derived from 2-D equations deduced in previously accomplished research.
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- 2002
19. Mechanical effects of electrodes on the vibrations of quartz crystal plates
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Lee, Peter C.Y. and Huang, Rui
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Quartz crystals -- Electric properties ,Piezoelectric materials -- Research ,Electrical engineering ,Business ,Electronics ,Electronics and electrical industries - Abstract
An infinite system of 2-D equations for piezoelectric plates with thickness-graded material properties is obtained from the 3-D equations of linear piezoelectricity. Then, a system of 2-D first-order equations is derived from the infinite set for investigating the thickness-shear (TS), flexural (F), and face-shear (FS) vibrations of an AT-cut quartz plate with two identical electrodes and a pair of parallel free edges.
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- 2002
20. Effects of a liquid layer on thickness-shear vibrations of rectangular AT-cut quartz plates
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Lee, Peter C.Y. and Huang, Rui
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Piezoelectric devices -- Research ,Quartz crystals -- Electric properties ,Resonators -- Research ,Electrical engineering ,Business ,Electronics ,Electronics and electrical industries - Abstract
Thickness-shear vibrations of a rectangular AT-cut quartz, having one face in contact with a Newtonian (linear, viscous and compressible) fluid, are studied. Solutions are found for free and piezoelectrically forced vibrations with fixed displacement and charge-free edge conditions.
- Published
- 2002
21. Shared control on lunar spacecraft teleoperation rendezvous operations with large time delay
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Zhang Yakun, Li Haiyang, Huang Rui-xue, and Liu Jianghui
- Subjects
Control mode ,020301 aerospace & aeronautics ,0209 industrial biotechnology ,Engineering ,Spacecraft ,business.industry ,Rendezvous ,Aerospace Engineering ,ComputerApplications_COMPUTERSINOTHERSYSTEMS ,02 engineering and technology ,Lunar orbit ,020901 industrial engineering & automation ,0203 mechanical engineering ,Teleoperation ,Predictive display ,Orbital maneuver ,business ,Control methods ,Simulation - Abstract
Teleoperation could be used in space on-orbit serving missions, such as object deorbits, spacecraft approaches, and automatic rendezvous and docking back-up systems. Teleoperation rendezvous and docking in lunar orbit may encounter bottlenecks for the inherent time delay in the communication link and the limited measurement accuracy of sensors. Moreover, human intervention is unsuitable in view of the partial communication coverage problem. To solve these problems, a shared control strategy for teleoperation rendezvous and docking is detailed. The control authority in lunar orbital maneuvers that involves two spacecraft as rendezvous and docking in the final phase was discussed in this paper. The predictive display model based on the relative dynamic equations is established to overcome the influence of the large time delay in communication link. We discuss and attempt to prove via consistent, ground-based simulations the relative merits of fully autonomous control mode (i.e., onboard computer-based), fully manual control (i.e., human-driven at the ground station) and shared control mode. The simulation experiments were conducted on the nine-degrees-of-freedom teleoperation rendezvous and docking simulation platform. Simulation results indicated that the shared control methods can overcome the influence of time delay effects. In addition, the docking success probability of shared control method was enhanced compared with automatic and manual modes.
- Published
- 2017
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22. Color Feature Reinforcement for Cosaliency Detection Without Single Saliency Residuals
- Author
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Wei Feng, Jizhou Sun, and Huang Rui
- Subjects
Similarity (geometry) ,business.industry ,Color image ,Applied Mathematics ,Feature vector ,Feature extraction ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,020206 networking & telecommunications ,Pattern recognition ,02 engineering and technology ,Kadir–Brady saliency detector ,Salient ,Feature (computer vision) ,Signal Processing ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,Electrical and Electronic Engineering ,business ,Feature detection (computer vision) ,Mathematics - Abstract
Cosaliency detects the common salient objects within a group of images. Hence, those objects that are salient only in individual image or small portion of the image group should conceptually be treated as background. However, most state-of-the-art methods cannot do this well because they measure cosaliency as an explicit combination of single-image saliency and interimage similarity, thus inevitably leaving single saliency residuals into the cosaliency maps. In this letter, we show such problem can be solved by color feature reinforcement, based on a simple observation that cosalient objects usually have similar color distributions in an abundant color feature space. Since we model the cosaliency of an image w.r.t. another one as a reinforced product of the foreground dictionary and sparsely coded saliency coefficients of the two images, respectively, within a same rich feature space, we can effectively eliminate the single saliency residual effect in cosaliency detection. Extensive experiments validate the superior performance of the proposed approach on benchmark datasets.
- Published
- 2017
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23. An effective freeform surface retrieval approach for potential machining process reuse
- Author
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He Kunjin, Chen Zheng-ming, Huang Rui, and Jiang Jun-feng
- Subjects
Surface (mathematics) ,0209 industrial biotechnology ,Engineering drawing ,Engineering ,Similarity (geometry) ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,CAD ,02 engineering and technology ,Reuse ,Industrial and Manufacturing Engineering ,020901 industrial engineering & automation ,0202 electrical engineering, electronic engineering, information engineering ,Computer vision ,ComputingMethodologies_COMPUTERGRAPHICS ,business.industry ,Mechanical Engineering ,020207 software engineering ,Filter (signal processing) ,Computer Science Applications ,Control and Systems Engineering ,Feature (computer vision) ,Key (cryptography) ,Artificial intelligence ,Focus (optics) ,business ,Software - Abstract
With the increasing of the machining process data, which are the direct and effective carrier of knowledge, intelligence and experience of skilled engineers, machining process data-driven intelligent machining process planning is becoming more and more important in manufacturing industries. One of the key technologies is to retrieve the similar geometry with machining process reuse value in a fine manner. However, existing 3D CAD model retrieval methods for manufacturing reuse mainly focus on the parts composed of non-freeform surface features machined with 2 1/2-axis CNC milling, while the parts including complex freeform surfaces accounted for a large proportion are little involved. In this paper, a novel freeform surface retrieval approach for potential machining process reuse is presented. First, similar tensor field pattern freeform surface feature is introduced to represent the complex freeform surface into structured freeform surface model. Then, freeform surface content code for accelerating freeform surface retrieval is given to filter out unmatched freeform surfaces efficiently. Moreover, the principal pathline indicating the overall evolution trend of feature pathlines is extracted and represented using D2 shape descriptor to establish the feature similarity assessment model. Finally, sub-graph isomorphism-based matched feature pairs extraction algorithm is presented to calculate the similarity between matched freeform surfaces. A prototype system based on CATIA has been developed to verify the effectiveness of the proposed approach.
- Published
- 2017
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24. Excitation Mechanism of Eu3+ Photoluminescence from Eu Doped Silicon Oxycarbide Film
- Author
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张文星 Zhang Wen-xing, 王岩 Wang Yan, 宋超 Song Chao, 李洪亮 Li Hong-liang, 黄锐 Huang Rui, 郭艳青 Guo Yan-qing, 宋捷 Song Jie, 林圳旭 Lin Zhen-xu, and 王怀佩 Wang Huai-pei
- Subjects
Radiation ,Photoluminescence ,Materials science ,business.industry ,Doping ,Optoelectronics ,Silicon oxycarbide ,Condensed Matter Physics ,business ,Excitation ,Mechanism (sociology) ,Electronic, Optical and Magnetic Materials - Published
- 2017
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25. DC offset elimination in wireless optical channel estimation by employing implicit sequence
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王惠琴 Wang Huiqin, 胡 秋 Hu Qiu, 曹明华 Cao Minghua, and 黄 瑞 Huang Rui
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Sequence ,Computer science ,business.industry ,Electronic engineering ,Wireless ,business ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,DC bias ,Communication channel - Published
- 2017
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26. Design of Single-Phase Intelligent Meter Based on RFID Semi Active Technology
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Xiao Xiangqi, Huang Rui, Xiao Wencheng, Yang Maotao, Huang Yanjiao, and Chen Xiangqun
- Subjects
Microcontroller ,Software ,business.industry ,Computer science ,Data exchange ,Smart meter ,Control unit ,Metre ,Modular design ,business ,Computer hardware ,Automatic meter reading - Abstract
When the smart meter remote meter reading failure, the staff need one-on-one meter reading on-site, resulting in great workload, a semi-active RFID-based smart single-phase smart meters are designed. A single-phase smart meter based on RFID semi-active technology was designed to achieve the goal of non-contact fast, efficient and batch meter reading. The FM3307 MCU produced by Fudan Microelectronics Co., Ltd., the ATT7053BU high-precision measurement chip produced by Juquan Company and the RENSAS (R5F212BC) 8-bit machine produced by Fudan Microelectronics Co., Ltd. were adopted to design the power supply unit, the metering unit, the load control unit, the communication unit, Clock and memory cells and other core circuits. Three-tier architecture, modular design ideas are used to divide the software functions, and through a unified interface, data exchange between modules is achieved, this method is easy to mount and remove any module, which will help the expansion and deletion of features. Hardware and software debugging, machine performance test results show that the batch, fast meter reading function of the smart meter is realized, effectively reducing the workload on-site, which has a certain value of promotion and application.
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- 2019
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27. Design of Intelligent Meter Life Cycle Management System Based on RFID
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Yang Maotao, Xiao Xiangqi, Chen Xiangqun, Huang Yanjiao, Huang Rui, and Xiao Wencheng
- Subjects
Hardware_GENERAL ,Smart meter ,Backup ,business.industry ,Computer science ,Data exchange ,Factory (object-oriented programming) ,Metre ,Cloud computing ,business ,Computer hardware ,Automatic meter reading ,Application lifecycle management - Abstract
Based on RFID technology, the key technologies of smart meter life cycle management system are researched. Through RFID and cloud platform technology, the purpose of closed-loop management covering the entire life cycle of RFID smart meter design, production, parameter setting, factory inspection, warehouse management, on-site meter reading and maintenance scrapped was realized. RFID features include anti-collision mechanism and contactless, etc. are used to achieve multi-radio chip, multi-channel smart meter factory settings, factory testing, on-site meter reading, data backup and other functions. The cloud platform big data analysis mechanism is utilized to guide the watch factory in material selection and optimization design to improve the quality of the meter and reduce the failure rate of the meter so as to ensure the safety of the key data in the table and the purpose of fast and accurate data exchange with RFID intelligent meter is realized. The RFID tag antenna is optimized and simulated. The simulation results show that the maximum antenna gain is 1.6304 dBi, and the coverage characteristic reaches 360° along the θ direction, which can effectively improve the data reading rate and distance.
- Published
- 2019
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28. A Rapid Recognition Method for Electronic Components Based on the Improved YOLO-V3 Network
- Author
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Gu Jinan, Hou Yongtao, Huang Rui, Xiaohong Sun, and Saad Uddin
- Subjects
Computer Networks and Communications ,Machine vision ,Computer science ,lcsh:TK7800-8360 ,02 engineering and technology ,Field (computer science) ,0202 electrical engineering, electronic engineering, information engineering ,YOLO-V3 ,rapid recognition ,Electrical and Electronic Engineering ,business.industry ,Deep learning ,lcsh:Electronics ,Cognitive neuroscience of visual object recognition ,deep learning ,020206 networking & telecommunications ,Pattern recognition ,machine vision ,Hardware and Architecture ,Control and Systems Engineering ,visual_art ,Signal Processing ,Electronic component ,visual_art.visual_art_medium ,Key (cryptography) ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,Focus (optics) - Abstract
Rapid object recognition in the industrial field is the key to intelligent manufacturing. The research on fast recognition methods based on deep learning was the focus of researchers in recent years, but the balance between detection speed and accuracy was not well solved. In this paper, a fast recognition method for electronic components in a complex background is presented. Firstly, we built the image dataset, including image acquisition, image augmentation, and image labeling. Secondly, a fast recognition method based on deep learning was proposed. The balance between detection accuracy and detection speed was solved through the lightweight improvement of YOLO (You Only Look Once)-V3 network model. Finally, the experiment was completed, and the proposed method was compared with several popular detection methods. The results showed that the accuracy reached 95.21% and the speed was 0.0794 s, which proved the superiority of this method for electronic component detection.
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- 2019
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29. Identifying Significant Injury Severity Risk Factors in Traffic Accidents Based on the Machine Learning Methods
- Author
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Li Lei, Huang Rui, Zhang Wei, and Zhou Zhuping
- Subjects
business.industry ,Computer science ,Artificial intelligence ,Crash data ,business ,Machine learning ,computer.software_genre ,computer - Published
- 2019
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30. Effects of Luo Han Guo on throat complications associated with tracheal intubation: a randomized controlled trial
- Author
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Yong-Ming Li, Yang Xiaohua, Li Guo, Huang Rui, Liang Hongmei, Chen Aiping, Lu Huixia, Tan Huilian, Liang Yukun, and Li-Yu Qiu
- Subjects
Medicine (General) ,Clinical Research Reports ,medicine.medical_treatment ,laparoscopy ,Uterine Cervical Neoplasms ,Biochemistry ,law.invention ,Nursing care ,0302 clinical medicine ,Postoperative Complications ,Randomized controlled trial ,030202 anesthesiology ,law ,cough ,Laparoscopy ,Hoarseness ,medicine.diagnostic_test ,Pharyngitis ,General Medicine ,Middle Aged ,Prognosis ,Tracheal intubation ,Luo Han Guo ,medicine.anatomical_structure ,Anesthesia ,Female ,medicine.symptom ,throat complications ,pain measurement ,03 medical and health sciences ,R5-920 ,Throat ,medicine ,Intubation, Intratracheal ,Humans ,business.industry ,Plant Extracts ,Biochemistry (medical) ,sputum ,030206 dentistry ,Cell Biology ,general anesthesia ,Cucurbitaceae ,Case-Control Studies ,Sputum ,Hormone therapy ,business ,nursing care ,Follow-Up Studies - Abstract
Objectives Conventional treatment for throat complications after surgery involves the use of hormone therapy, which has variable effects. This study was performed to investigate the effects of oral administration of Luo Han Guo decoction for throat complications after tracheal intubation during general anesthesia for laparoscopic radical hysterectomy. Methods Beginning at 6 h after surgery, patients in the experimental group were administered 30 mL of a Luo Han Guo decoction; the control group received black tea. Patients in both groups were evaluated using a Visual Analogue Scale for the degree of throat soreness at 2, 12, 24, and 48 h after surgery; coughing and expectoration were evaluated at 48 h after surgery. Results This study included 203 patients: 102 in the experimental group and 101 in the control group. Compared with controls, the experimental group had significantly lower evaluation scores at 12, 24, and 48 hours postoperatively. Moreover, at 48 hours postoperatively, coughing and expectoration were significantly reduced in the experimental group, compared with in the control group. Conclusions Administration of a Luo Han Guo decoction can effectively reduce throat pain, hoarseness, throat swelling, cough, and sputum after tracheal intubation during general anesthesia.
- Published
- 2019
31. Design of Cricket Automatic Control System Based on Computer Vision Technology
- Author
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Hui Wang, Feng Liu, Huang Rui, and Wei-wei Guo
- Subjects
Automatic control ,Computer science ,business.industry ,Friction force ,Serial port ,STM32 ,PID controller ,Microcontroller ,Control system ,Ball (bearing) ,Computer vision ,Artificial intelligence ,business ,ComputingMethodologies_COMPUTERGRAPHICS - Abstract
This paper designs a cricket control system based on computer vision technology. This system is controlled by PID algorithm. The acquisition system is OpenMV camera, and the processing system is STM32 series MCU. The design is used to control the small ball to roll on the evenly distributed smooth square plate, so that the ball can be removed on the square plate without any external force except for the self-gravity, the support force of the plate and the friction force. Various specified requirements are fulfilled between circular areas of 3 cm in outer diameter. In this design, the image data is collected by the camera on the smooth flat panel range, and the collected data is transmitted to the STM32 core board through the serial port for processing, and the center coordinates of the hard ball are found through the processed data, and the coordinates are adjusted according to the set destination coordinates and the actual coordinates. PID (proportional-integral-derivative) controls the steering gear to rotate a certain angle to control the hard ball to achieve the relevant operational requirements.
- Published
- 2019
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32. Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations
- Author
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Zuyi Bao, Huang Rui, Kenny Q. Zhu, and Chen Li
- Subjects
FOS: Computer and information sciences ,Matching (statistics) ,Computer Science - Computation and Language ,Computer science ,Low resource ,business.industry ,02 engineering and technology ,computer.software_genre ,Sequence labeling ,03 medical and health sciences ,0302 clinical medicine ,030221 ophthalmology & optometry ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,Language model ,business ,computer ,Computation and Language (cs.CL) ,Natural language processing - Abstract
Previous work on cross-lingual sequence labeling tasks either requires parallel data or bridges the two languages through word-byword matching. Such requirements and assumptions are infeasible for most languages, especially for languages with large linguistic distances, e.g., English and Chinese. In this work, we propose a Multilingual Language Model with deep semantic Alignment (MLMA) to generate language-independent representations for cross-lingual sequence labeling. Our methods require only monolingual corpora with no bilingual resources at all and take advantage of deep contextualized representations. Experimental results show that our approach achieves new state-of-the-art NER and POS performance across European languages, and is also effective on distant language pairs such as English and Chinese., Comment: Accepted at EMNLP 2019
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- 2019
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33. A case of left atrium and left ventricular fistula
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Huang Rui, Li Yuanhong, Wang Kaiquan, Zhao Jingbo, Luo Yinhua, and Su Ke
- Subjects
medicine.medical_specialty ,business.industry ,Fistula ,medicine.medical_treatment ,Left atrium ,medicine.disease ,Surgery ,Conservative treatment ,Catheter ,medicine.anatomical_structure ,Left atrial ,Heart failure ,Edema ,cardiovascular system ,medicine ,cardiovascular diseases ,Thoracotomy ,medicine.symptom ,business - Abstract
Introduction: Clinically significant cardiac fistulas occur rarely. And the most reported in clinical practice is acquired left ventricular and left atrial fistula, but congenital left ventricular and left atrial fistula has not been reported. Case Report: We report the case of a 68-year-old male presented with shortness of breath after activities and repeated edema of both lower limbs. Because this patient refused the further examination and refused to use the occluder to repair the fistula through catheter and thoracotomy, we carried out conservative treatment on the patient. Conclusion: Congenital left ventricular and left atrial fistula has not been reported. Early diagnosis and treatment prevents the complications of heart failure.
- Published
- 2021
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34. A modified SSD method for Electronic Components Fast Recognition
- Author
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Huang Rui, Xiaohong Sun, and Gu Jinan
- Subjects
Computer science ,Machine vision ,business.industry ,Deep learning ,Detector ,02 engineering and technology ,Visual reasoning ,021001 nanoscience & nanotechnology ,Machine learning ,computer.software_genre ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,010309 optics ,Robustness (computer science) ,visual_art ,0103 physical sciences ,Electronic component ,visual_art.visual_art_medium ,Artificial intelligence ,Electrical and Electronic Engineering ,0210 nano-technology ,business ,computer - Abstract
Machine vision determines the machine’s intelligence, and high reliability and robustness of recognition technology based on deep learning is the key to machine vision. Recently, accurate and rapid recognition model is the focus of researchers. In this paper, an advanced model based on deep learning was proposed, trying to explore good recognition performance for industrial environment. Firstly, an electronic component dataset (E.C.) is built. Secondly, an improved model based on SSD (single shot multi-box detector) is designed, which is conducted by adopting feature fusion strategy and adding visual reasoning techniques. Finally, the experiment on the dataset E.C. is completed, and the proposed method is compared with the current popular methods. The experiment shows that the detection accuracy and speed achieve better balance.
- Published
- 2020
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35. The measurement of xiangchou and its resource value in traditional village tourism destinations: A case study in Southern Jiangsu
- Author
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Huang Rui, HU Xiao-hai, LI Dong-ye, Hong Xueting, Shen Wei-li, and Chen Xiao-yan
- Subjects
Resource (biology) ,Tourism destinations ,Natural resource economics ,Value (economics) ,Business - Published
- 2020
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36. Enhanced Optical Spatial Modulation in Wireless Optical Communication
- Author
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王惠琴 Wang Huiqin, 曹明华 Cao Minghua, 黄瑞 Huang Rui, and 张悦 Zhang Yue
- Subjects
Computer science ,business.industry ,Optical communication ,Electronic engineering ,Wireless ,business ,Spatial modulation ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials - Published
- 2020
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37. Analysis of SNR for High-Orbit Target Detected by Ground-Based Photoelectric System
- Author
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Huang Zhiguo, Xiaojun Xue, and Huang Rui
- Subjects
media_common.quotation_subject ,02 engineering and technology ,SNR ,01 natural sciences ,lcsh:Technology ,law.invention ,010309 optics ,Telescope ,lcsh:Chemistry ,Optics ,law ,0103 physical sciences ,General Materials Science ,Instrumentation ,lcsh:QH301-705.5 ,Background radiation ,media_common ,Fluid Flow and Transfer Processes ,Physics ,MODTRAN ,business.industry ,lcsh:T ,Process Chemistry and Technology ,General Engineering ,infrared detection ,Photoelectric effect ,021001 nanoscience & nanotechnology ,High Earth orbit ,simulation ,lcsh:QC1-999 ,Computer Science Applications ,Transmission (telecommunications) ,lcsh:Biology (General) ,lcsh:QD1-999 ,Sky ,lcsh:TA1-2040 ,Orbit (dynamics) ,high-orbit ,Astrophysics::Earth and Planetary Astrophysics ,0210 nano-technology ,business ,lcsh:Engineering (General). Civil engineering (General) ,lcsh:Physics - Abstract
To determine the feasibility of observing high-orbit targets with a large aperture telescope, we created a simulation based on electronics to evaluate the signal-to-noise ratio (SNR) model for an infrared ground-based photoelectric system. Atmosphere transmission and sky background radiation data were obtained using MODTRAN software, then the SNRs of the high-orbit target (HOT) in different temperatures and orbit heights were calculated separately. The results showed that the observation of the HOT in a short band was possible, and the effect of short-wave was excellent at low temperatures. On the basis of this model, some space targets were observed by a K-band photoelectric telescope for verification and had constructive results. Thus, the model can be used as a basis for whether a HOT can be detected.
- Published
- 2018
38. Surface Acoustic Wave Based Nitrogen Dioxide Gas Sensors Using Colloidal Quantum Dot Sensitive Films
- Author
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Wu Yongzhen, Xiaoming Fan, Chen Fu, Jundong Zhang, Jingting Luo, and Huang Rui
- Subjects
chemistry.chemical_compound ,Colloid ,Materials science ,chemistry ,Quantum dot ,business.industry ,Surface acoustic wave ,Optoelectronics ,Nitrogen dioxide ,Repeatability ,Sensitivity (control systems) ,Center frequency ,business - Abstract
In this work, we propose a surface acoustic wave (SAW)based N02 gas sensor with a colloidal quantum dot (CQD)sensitive film. The PbS CQDs was synthesized through a cation-exchange method, which was then spun onto the surface of a designed SAW delay line with a central frequency of 200MHz. To improve the sensitivity, the CQD films were carried out a ligand exchange treatment. The experimental results show the sensitivity has been enhanced more than three times in the aid of the ligand exchange treatment. The fabricated sensor showed good repeatability, low detect limit down to l05ppb and a sensitivity of 0.91kHz/ppm.
- Published
- 2018
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39. Smart Meter Lifecycle Management System Based on RFID Technology
- Author
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Shen Liman, Xiangbin Liu, Shumin Wei, Chen Hao, Huang Rui, Liu Mouhai, and Chen Xiangqun
- Subjects
Hardware_GENERAL ,Computer science ,business.industry ,Smart meter ,Data management ,Embedded system ,Management system ,Radio-frequency identification ,Software design ,Cloud computing ,business ,Automatic meter reading ,Application lifecycle management - Abstract
In order to meet the demand of lifecycle management of massive smart meters, this paper designs a smart meter based on RFID communication, a meter detection system based on RFID smart meter, an intelligent warehouse management system based on RFID smart meter and cloud platform, a on-site meter reading RFID hand-held terminal based on RFID and cloud platform, using cloud platform and cloud computing technology and radio frequency identification technology. A smart meter lifecycle cloud platform management system based on cloud platform is proposed. The whole system utilizes high communication speed and strong group reading of RFID to achieve quick parameter setting, quick detection, automatic storage, quick reading of smart meters. It can shorten the time and improve efficiency. Meanwhile, the whole system can help intelligent production and service under Industry 4.0 mode by building a cloud platform management system to realize data collection, data management, data filtering and extraction, data mining and analysis of large amount of smart meters.
- Published
- 2018
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40. Research on Fault Emergency Strategy for Substation DC System
- Author
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Huang Rui, Yu Chunguang, Lv Xiaoping, Xu Mingkai, and Gao Zhaoli
- Subjects
Emergency management ,business.industry ,Computer science ,020206 networking & telecommunications ,02 engineering and technology ,Fault (power engineering) ,Power (physics) ,Whole systems ,Reliability engineering ,Electric power system ,Reliability (semiconductor) ,Operation safety ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,business - Abstract
The operation reliability of substation DC system greatly influences the operation safety of the whole system. The site data indicates that defects and accidents occur frequently in DC system and often become the hidden troubles of severer accidents of the power system. Therefore, the effective fault emergency strategy for substation DC system is particularly important. Based on the analysis of the composition and typical defects of the DC system, this paper discuses the fault emergency strategy for substation DC system from the following aspects: fault emergency power supply, fault emergency management organization flow and technical supports provided by intelligent inspection methods. These solutions are effective for the purpose of improving the safety operation level of substation DC system and avoiding the enlargement of fault due to the defects of the DC power supply equipments.
- Published
- 2018
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41. Property Manager Service Platform Based on Android
- Author
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Huang Rui
- Subjects
Software ,Computer science ,business.industry ,Cascading Style Sheets ,Android (operating system) ,Property management ,business ,Computer security ,computer.software_genre ,computer ,Maintenance engineering ,Social news ,computer.programming_language - Abstract
The development of the property manager service platform based on Android is to enhance the relationship between the user and the property company. In the present social news, there are many contradictions between the users and the property managers. The fundamental reason is that the property does not deal well with the relationship between the user and the property. When the user found the problem, the property did not receive their information and deal with it in time. The property manager service platform based on Android provides a good platform. The property can be processed through the information submitted by the user, and the speed of the property handling affairs is further improved.
- Published
- 2018
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42. Big data evaluation method of transformer based on association rules and fuzzy variable weight model
- Author
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Duan Xiaomu, Gao Xiaodong, Lv Shouguo, Huang Rui, and Zhuang Yanfei
- Subjects
Association rule learning ,Computer science ,business.industry ,Big data ,computer.software_genre ,Fuzzy logic ,law.invention ,law ,Evaluation methods ,Variable weight ,Data mining ,Transformer ,business ,computer - Abstract
In order to solve the problems such as the wide variety of data during the operation of power transformers and the uncertainty of each index in state evaluation, this paper proposes a large data evaluation method based on association rules and fuzzy variable weight model. This method firstly constructs a more comprehensive transformer basic parameter system, and quantifies the parameters based on the confidence and support degree of the association rules. According to the comprehensive analysis and variable weight fuzzy evaluation, a relatively complete transformer state evaluation system is established to realize the Monitoring and Evaluation of Transformer Operation. Data analysis shows that the method proposed in this paper provides a new idea for the operation status evaluation and fault diagnosis of the transformer, which has certain practical value.
- Published
- 2018
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43. Evaluation of a Fuzzy-Based Impedance Control Strategy on a Powered Lower Exoskeleton
- Author
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Xichuan Lin, Huu-Toan Tran, Huang Rui, Qiming Chen, Hong Cheng, and Mien Ka Duong
- Subjects
030506 rehabilitation ,0209 industrial biotechnology ,General Computer Science ,Social Psychology ,business.industry ,Computer science ,Robotics ,02 engineering and technology ,Mechatronics ,Impedance parameters ,Fuzzy logic ,Exoskeleton ,Human-Computer Interaction ,Preferred walking speed ,03 medical and health sciences ,Philosophy ,020901 industrial engineering & automation ,Impedance control ,Control and Systems Engineering ,Torque ,Artificial intelligence ,Electrical and Electronic Engineering ,0305 other medical science ,business ,Simulation - Abstract
This paper comprehensively presents the analysis, design, and control of a wearable lower limb exoskeleton intended to enhance human performance and support load-carrying. The exoskeleton is powered at hip and knee joints to provide maximum joint torques of 74 Nm for the joint flexion/extension augmentation and load support. Typical issues regarding the implementation of the exoskeleton, such as mechanical design, sensory system, distributed embedded system, and high-speed networked control architecture are briefly presented. In order to control the coupled human-robot system, a new fuzzy-based impedance control strategy, previously developed by the authors, is used to provide assistive torques by regulating the desired impedance between the exoskeleton and a wearer’s limb according to a specific motion speed. The effect of human behaviours on the change of impedance parameters across variable walking speeds is adopted to design the fuzzy rules for the control strategy. As a result, the fuzzy-based impedance regulation is separately designed for swing and stance walking phases to adapt to the change. The control performance of the designed exoskeleton evaluated on a bench-testing over different ranges of walking speeds (about 0.3–1.2 m/s) have demonstrated that, resulting interaction torque, human-exoskeleton tracking error, and electrical power consumption are significantly reduced as compared to a traditional impedance control. Besides that, an average of 72.3 % of the load is transferred to the ground by the exoskeleton during the stance phase of walking. The developed control strategy on the lower exoskeleton has the potential to increase comfort and adaptation to users during daily use.
- Published
- 2015
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44. A Robot Used for Partial Discharge Detection of Switchgear
- Author
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Huang Rui, Jianxiang Li, Yiqing Luan, Wei Xu, and Haipeng Wang
- Subjects
Robot kinematics ,business.industry ,Computer science ,Real-time computing ,Partial discharge ,Robot ,Wireless ,High voltage ,business ,Switchgear - Abstract
This paper describes a robot used for partial discharge (PD) detection of the High Voltage switch cabinet in substations. The robot, mounting a 5-DOF manipulator, carrying an integrated partial discharge detection sensor, automatically detects the partial discharge state of the switch cabinet. It is also featured with autonomous vision navigation, automatic positioning of detection points, automatic partial discharge detection and automatic recording discharge images, and it is remotely controlled by a wireless system. This paper introduces the overall technical scheme of the robot, and discusses the key technology of the robot. Now the robot is successfully applied in several substations to demonstrate its performance.
- Published
- 2017
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45. RELOCATE: A Container Based Moving Target Defense Approach
- Author
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Hongqi Zhang, Yi Liu, Shie Zhou, and Huang Rui
- Subjects
Computer science ,business.industry ,Testbed ,Initialization ,Cloud computing ,Virtualization ,computer.software_genre ,Computer security ,Information leakage ,Container (abstract data type) ,Moving target defense ,Relocation ,business ,computer - Abstract
In order to cope with border information leakage problem in cloud services, we presented RELOCATE,a moving target defense approach. RELOCATE chose a lightweight operating system virtualization technology named Docker to manage the containers in physical hosts. Docker performs well for tenants’ services because of fast initialization and small footprint. Thus, we used Docker clusters to orchestrate the tenants' services. Additionally, we proposed a novel dynamic relocation strategy to mitigate attacks from malicious neighbors by using themoving target defense thought. Lastly, we conducted a simulation experiment in our testbed. Result shows that RELOCATE is efficient and effective to defense border information leakage attacks
- Published
- 2017
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46. Therapeutic effect of combined hyperbaric oxygen and radiation therapy for single brain metastasis and its influence on osteopontin and MMP-9
- Author
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Huang Rui, Zhaoyu Gao, Hong Li, and Jing Tao
- Subjects
0301 basic medicine ,Cancer Research ,medicine.medical_specialty ,medicine.medical_treatment ,Gastroenterology ,03 medical and health sciences ,0302 clinical medicine ,Immunology and Microbiology (miscellaneous) ,Internal medicine ,Medicine ,Osteopontin ,Oncogene ,biology ,business.industry ,Incidence (epidemiology) ,Therapeutic effect ,Cancer ,Articles ,General Medicine ,medicine.disease ,Molecular medicine ,Radiation therapy ,030104 developmental biology ,030220 oncology & carcinogenesis ,biology.protein ,business ,Brain metastasis - Abstract
The present study aimed to investigate the therapeutic effect of combined hyperbaric oxygen and radiation therapy for the treatment of single brain metastasis (SBM), as well as its influence on osteopontin (OPN) and matrix metalloproteinase-9 (MMP-9). A total of 86 patients with SBM were admitted to Hongqi Hospital from January 2013 to January 2016 and those included within the study were randomly divided into two groups. The control group was only treated with whole brain radiotherapy, while the observation group was treated with hyperbaric oxygenation combined with whole brain radiotherapy. OPN and MMP-9 expression was measured in each group by ELISA and the results prior to and following treatment were compared. The total effective rate (patients with complete remission, partial remission or stabilized lesions) in the observation group (95.3%) was significantly increased compared with the control group (67.4%). However, the OPN and MMP-9 protein levels observed in the observation group were significantly reduced compared with the control group (P
- Published
- 2017
47. Multichannel weak medical bioelectrical signal processing system based on FPGA
- Author
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黄学业 Huang Xue-ye, 凌朝东 Ling Chao-dong, 黄锐敏 Huang Rui-min, and 万安 Wan An
- Subjects
Signal processing ,business.industry ,Computer science ,Embedded system ,Signal Processing ,business ,Field-programmable gate array ,Instrumentation ,Computer hardware ,Electronic, Optical and Magnetic Materials - Published
- 2014
- Full Text
- View/download PDF
48. AN OUTLIER DETECTION METHOD OF LOW-VOLTAGE USERS BASED ON WEEKLY ELECTRICITY CONSUMPTION
- Author
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Huang Rui, Tang Xiao-feng, Peng Zhao-yi, Wang Bi-heng, Wang Hao, and Chen Qi
- Subjects
Consumption (economics) ,Hardware_GENERAL ,business.industry ,Computer science ,Anomaly detection ,Electricity ,business ,Low voltage ,Automotive engineering - Abstract
A method of detecting abnormal electricity consumption behavior of low-voltage electricity consumption users based on weekly electricity consumption is proposed. Firstly, features of weekly electricity consumption curve data are extracted from the actual daily consumption data. Fuzzy C-means clustering algorithm is used to classify electricity consumption behavior. Typical weekly electricity consumption characteristic curves of low-voltage power users are obtained, and then low-voltage users with abnormal electricity consumption are marked based on distance. The effectiveness and feasibility of the algorithm are verified by the actual electricity consumption data of 15 stations in Yang-Zhou City.
- Published
- 2019
- Full Text
- View/download PDF
49. Surface Defects Recognition of Wheel Hub Based on Improved Faster R-CNN
- Author
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Benjamin Giron Palomares, Xiaohong Sun, Huang Rui, Rong Zou, and Gu Jinan
- Subjects
Surface (mathematics) ,Faster R-CNN ,Computer Networks and Communications ,Computer science ,Machine vision ,lcsh:TK7800-8360 ,02 engineering and technology ,0202 electrical engineering, electronic engineering, information engineering ,regional proposal network ,Electrical and Electronic Engineering ,Pixel ,business.industry ,Deep learning ,lcsh:Electronics ,deep learning ,Pattern recognition ,021001 nanoscience & nanotechnology ,defects recognition ,Data set ,Hardware and Architecture ,Control and Systems Engineering ,Signal Processing ,Key (cryptography) ,020201 artificial intelligence & image processing ,Artificial intelligence ,0210 nano-technology ,business - Abstract
Machine vision is one of the key technologies used to perform intelligent manufacturing. In order to improve the recognition rate of multi-class defects in wheel hubs, an improved Faster R-CNN method was proposed. A data set for wheel hub defects was built. This data set consisted of four types of defects in 2,412 1080 ×, 1440 pixels images. Faster R-CNN was modified, trained, verified and tested based on this database. The recognition rate for this proposed method was excellent. The proposed method was compared with the popular R-CNN and YOLOv3 methods showing simpler, faster, and more accurate defect detection, which demonstrates the superiority of the improved Faster R-CNN for wheel hub defects.
- Published
- 2019
- Full Text
- View/download PDF
50. Research on the Whole Stability of WZ30-25 Backhoe Loader
- Author
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Huang Rui and Ying Li Zu
- Subjects
Engineering ,Backhoe loader ,business.industry ,media_common.quotation_subject ,Stability (learning theory) ,General Medicine ,Automotive engineering ,law.invention ,Dynamic simulation ,Software ,law ,business ,Function (engineering) ,media_common - Abstract
A virtual prototype of WZ30-25 hydraulic backhoe loader is established by using parameterization modeling and analysis function of ADAMS software. Moreover, various parameters of the prototype are simulative measured and verified, and the stability of the backhoe loader is checked in four typical operation modes
- Published
- 2013
- Full Text
- View/download PDF
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