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1. Comparison of Long-Term Angiographic Results of Wide-Necked Intracranial Aneurysms : Endovascular Treatment with Single-Microcatheter Coiling, Double-Microcatheter Coiling, and Stent-Assisted Coiling

Author

Kim, Hyun Sik, Cho, Byung Moon, Yoo, Chan Jong, Choi, Dae Han, Hyun, Dong Keun, Shim, Yu Shik, Song, Joon Ho, Oh, Jae Keun, Ahn, Jun Hyong, Kim, Ji Hee, and Chang, In Bok

Subjects
medicine.medical_specialty, Clinical Article, medicine.diagnostic_test, business.industry, General Neuroscience, medicine.medical_treatment, Vessel occlusion, Intracranial aneurysm, wide necked, Stent assisted coiling, Embolization, Endovascular procedures, Vascular, Stent-assisted coiling, Angiography, Complete occlusion, Occlusion, medicine, Surgery, Neurology (clinical), Radiology, Endovascular treatment, business, Coil embolization
Abstract

Objective : Endovascular treatment of intracranial aneurysms is challenging in case of wide-necked aneurysms because coils are prone to herniate into the parent artery, causing thromboembolic events or vessel occlusion. This study aims to compare long-term angiographic results of wide-necked aneurysms treated by stent-assisted, double-microcatheter, or single-microcatheter groups.Methods : Between January 2003 and October 2016, 108 aneurysms that were treated with endovascular coil embolization with a neck size wider than 4 mm and a follow-up period of more than 3 years were selected. We performed coil embolization with singlemicrocatheter, double-microcatheter, and stent-assisted techniques. Angiographic results were evaluated using the Raymond-Roy occlusion classification (RROC). All medical and angiographic records were reviewed retrospectively.Results : Clinical and angiographic analyses were conducted in 108 wide-necked aneurysms. The immediate post-procedural results revealed RROC class I (complete occlusion) in 66 cases (61.1%), class II (residual neck) in 36 cases (33.3%), and class III (residual sac) in six cases (5.6%). The final follow-up results revealed class I in 48 cases (44.4%), class II in 49 cases (45.4%), and class III in 11 cases (10.2%). Of a total of 45 (41.6%) radiologic recurrences, there were 21 cases (19.4%) of major recurrence that required additional treatment, and 24 cases (22.2%) of minor recurrence. The final follow-up angiographic results showed statistically significant differences between the stent-assisted group and the others (p

Published
2021

2. Propranolol Inhibits the Proliferation of Human Glioblastoma Cell Lines through Notch1 and Hes1 Signaling System

Author

Kim, Hyun Sik, Park, Young Han, Lee, Heui Seung, Kwon, Mi Jung, Song, Joon Ho, and Chang, In Bok

Subjects
Small interfering RNA, Tumor, business.industry, Cell growth, General Neuroscience, Cellular differentiation, Isoproterenol, Transfection, medicine.disease, Propranolol, Neuroblastoma, Apoptosis, embryonic structures, Laboratory Investigation, Cancer research, Medicine, Surgery, MTT assay, Neurology (clinical), HES1, Glioblastoma, business, neoplasms
Abstract

Objective : The anti-tumor effect of the beta-adrenergic receptor antagonist propranolol in breast cancer is well known; however, its activity in glioblastoma is not well-evaluated. The Notch-Hes pathway is known to regulate cell differentiation, proliferation, and apoptosis. We investigated the effect of propranolol to human glioblastoma cell lines, and the role of Notch and Hes signaling in this process.Methods : We performed immunohistochemical staining on 31 surgically resected primary human glioblastoma tissues. We also used glioblastoma cell lines of U87-MG, LN229, and neuroblastoma cell line of SH-SY5Y in this study. The effect of propranolol and isoproterenol on cell proliferation was evaluated using the MTT assay (absorbance 570 nm). The impact of propranolol on gene expression (Notch and Hes) was evaluated using real-time polymerase chain reaction (RT-PCR, whereas protein levels of Notch1 and Hes1 were measured using Western blotting (WB), simultaneously. Small interfering RNA (siRNA) was used to suppress the Notch gene to investigate its role in the proliferation of glioblastoma.Results : Propranolol and isoproterenol caused a dose-dependent decrease in cell proliferation (MTT assay). RT-PCR showed an increase in Notch1 and Hes1 expression by propranolol, whereas WB demonstrated increase in Notch1 protein, but a decrease in Hes1 by propranolol. The proliferation of U87-MG and LN229 was not significantly suppressed after transfection with Notch siRNA.Conclusion : These results demonstrated that propranolol suppressed the proliferation of glioblastoma cell lines and neuroblastoma cell line, and Hes1 was more closely involved than Notch1 was in glioblastoma proliferation.

Published
2021

5. Investor sentiment and return predictability of the option to stock volume ratio

Author

Kim, Jun Sik, Kim, Da-Hea, and Seo, Sung Won

Subjects
Financial research, Return on investment -- Research, Investors -- Behavior, Securities analysis -- Methods, Return on investment, Banking, finance and accounting industries, Business
Abstract

We study the effect of investor sentiment on the relation between the option to stock volume ratio (O/S) and future stock returns. Relative option volume has return predictability under short [...]

Published
2017

7. Design and Implementation of a Route Recommendation Method Using Transportation Disadvantage Indices for the Mobility Handicapped

Author

Kim， Yeji, Lee， Geumbi, Kisu Kim, Kim， Kwang Sik, YeoJeong Yun, and Yong-joo Jun

Subjects
Computer science, business.industry, Artificial intelligence, Machine learning, computer.software_genre, business, computer
Abstract

본 연구는 교통약자가 새로운 경로를 쉽게 찾을 수 있도록 경로추천 방법을 설계하고 구현하는 것이 목적이다. 이를 위해 교통약자가 이용하는 대중교통 수단과 이동편의시설, 통행시간, 대기시간, 환승 등의 이동불편요소를 이용하여 이동불편지수를 산정하였다. 산정된 불편지수를 이용하여 교통약자 유형별 최적경로를 추천하는 방법을 제시하였다. 서울 내 교통약자가 많이 거주하는 기점과 통행수요가 높은 종점을 추출하여 제시한 방법을 적용하였다. 적용 결과, 이동편의시설과 이동불편요소를 고려하여 교통약자 유형별로 이동 가능한 경로를 추천할 수 있음을 확인하였다. 본 연구의 결과는 향후 교통약자를 위한 경로정보 제공 서비스 구축에 활용할 수 있을 것으로 기대된다.

Published
2021

8. Nasal airway function after Le Fort I osteotomy with maxillary impaction: A prospective study using the Nasal Obstruction Symptom Evaluation scale

Author

Kim, Hyo Seong, Son, Ji Hwan, Chung, Jee Hyeok, Kim, Kyung Sik, Choi, Joon, and Yang, Jeong Yeol

Subjects
Nasal cavity, medicine.medical_specialty, medicine.medical_treatment, lcsh:Surgery, Orthognathic surgery, 03 medical and health sciences, 0302 clinical medicine, Maxilla, otorhinolaryngologic diseases, Medicine, 030223 otorhinolaryngology, Prospective cohort study, Pediatric/Craniomaxillofacial/Head & Neck, Nose, Impaction, business.industry, lcsh:RD1-811, medicine.disease, Surgery, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Original Article, Malocclusion, business, Cohort study
Abstract

Background This study evaluated changes in nasal airway function following Le Fort I osteotomy with maxillary impaction according to the Nasal Obstruction Symptom Evaluation (NOSE) scale. Methods This cohort study included 13 patients who underwent Le Fort I osteotomy with maxillary impaction. Nasal airway function was evaluated based on the NOSE scale preoperatively and at 3 months postoperatively. The change in the NOSE score was calculated as the preoperative score minus the postoperative score. If the normality assumptions for changes in the NOSE score were not met, a nonparametric test (the Wilcoxon signed-rank test) was used. Differences in NOSE score changes according to patient characteristics and surgical factors were evaluated using the Kruskal-Wallis test and the Mann-Whitney test. Results Patients ranged in age from 18 to 29 years (mean±standard deviation [SD], 23.00±3.87 years). Three were men and 10 were women. Eleven patients (84%) had an acquired dentofacial deformity with skeletal class III malocclusion. The preoperative NOSE scores ranged from 40 to 90 (mean±SD, 68.92±16.68), and the postoperative NOSE scores ranged from 25 to 80 (53.84±18.83). The cohort as a whole showed significant improvement in nasal airway function following maxillary impaction (P=0.028). Eleven patients (84%) had either improved (n=8) or unchanged (n=3) postoperative NOSE scores. However, nasal airway function deteriorated in two patients. Patient characteristics and surgical factors were not correlated with preoperative or postoperative NOSE scores. Conclusions Nasal airway function as evaluated using the NOSE scale improved after maxillary impaction.

Published
2021

12. Prevalence of high-risk human papillomavirus and its genotype distribution in head and neck squamous cell carcinomas

Author

Kim, Yuil, Joo, Young-Hoon, Kim, Min-Sik, and Lee, Youn Soo

Subjects
squamous cell carcinoma, 0301 basic medicine, medicine.medical_specialty, Histology, Concordance, Gastroenterology, Pathology and Forensic Medicine, law.invention, head and neck, 03 medical and health sciences, 0302 clinical medicine, law, Internal medicine, Genotype, lcsh:Pathology, medicine, human papillomavirus, Genotyping, Polymerase chain reaction, Cancer staging, business.industry, virus diseases, Sinonasal Tract, female genital diseases and pregnancy complications, stomatognathic diseases, 030104 developmental biology, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Tonsil, Immunohistochemistry, Original Article, oropharynx, business, lcsh:RB1-214
Abstract

Background High-risk (HR) human papillomavirus (HPV) is found in a subset of head and neck (HN) squamous cell carcinomas (SCCs). For oropharyngeal SCCs, HR HPV positivity is known to be associated with good prognosis, and a separate staging system for HPV-associated carcinomas using p16 immunohistochemistry (IHC) as a surrogate test has been adopted in the 8th American Joint Committee on Cancer staging system. We examined the HR HPV status and the genotype distribution in five HN subsites. Materials and methods Formalin-fixed paraffin-embedded tissue sections were used for p16 IHC and DNA extraction. HPV DNA detection and genotyping were done employing either a DNA chip-based or real-time polymerase chain reaction-based method. Results During 2011-2019, a total of 466 SCCs were tested for HPV DNA with 34.1% positivity for HR HPV. Among HN subsites, the oropharynx showed the highest HR HPV prevalence (149/205, 75.1%), followed by the sinonasal tract (3/14, 21.4%), larynx (5/43, 11.6%), hypopharynx (1/38, 2.6%), and oral cavity (1/166, 0.6%). The most common HPV genotype was HPV16 (84.3%) followed by HPV35 (6.9%) and HPV33 (4.4%). Compared with HR HPV status, the sensitivity and specificity of p16 IHC were 98.6% and 94.3% for the oropharynx, and 99.2% and 93.8% for the tonsil, respectively. Conclusion Using a Korean dataset, we confirmed that HR HPV is most frequently detected in oropharyngeal SCCs. p16 positivity showed a good concordance with HR HPV DNA for oropharyngeal and especially tonsillar carcinomas. The use of p16 IHC may further be extended to predict HR HPV positivity in sinonasal tract SCCs.

Published
2020

13. Intraoperative blood loss and surgical time according to the direction of maxillary movement

Author

Kim, Hyo Seong, Son, Ji Hwan, Chung, Jee Hyeok, Kim, Kyung Sik, Choi, Joon, and Yang, Jeong Yeol

Subjects
medicine.medical_specialty, business.industry, Impaction, medicine.medical_treatment, orthognathic surgery, Significant difference, Orthognathic surgery, lcsh:Surgery, Retrospective cohort study, 030206 dentistry, lcsh:RD1-811, Surgery, 03 medical and health sciences, Surgical time, 0302 clinical medicine, Blood loss, 030220 oncology & carcinogenesis, Statistical significance, Maxilla, Medicine, Original Article, blood loss, business, operative time
Abstract

Background Excessive bleeding is one of the most severe complications of orthognathic surgery (OGS). This study investigated the associations of intraoperative blood loss and surgical time with the direction of maxillary movement.Methods This retrospective study involved patients who underwent OGS from October 2017 to February 2020. They were classified based on whether maxillary setback was performed into groups A1 and B1, respectively. Relative blood loss (RBL, %) was used as an indicator to compare intraoperative blood loss between the two groups. The surgical time of the two groups was also measured. Subsequently, the patients were reclassified based on whether posterior impaction of the maxilla was performed into groups A2 and B2, respectively. RBL and surgical time were measured in the two groups. Simple linear and multiple regression analyses were performed. P-values

Published
2020

15. Endovascular Treatment of Traumatic Arteriovenous Fistula in Young Adults with Pulsatile Tinnitus

Author

Kim, Hyun Sik, Song, Joon Ho, Oh, Jae Keun, Ahn, Jun Hyong, Kim, Ji Hee, and Chang, In Bok

Subjects
medicine.medical_specialty, Exophthalmos, medicine.medical_treatment, External carotid artery, Arteriovenous fistula, Case Report, Magnetic resonance angiography, 030218 nuclear medicine & medical imaging, Embolization, Tinnitus, 03 medical and health sciences, 0302 clinical medicine, Vascular, medicine.artery, medicine, Vein, medicine.diagnostic_test, business.industry, General Neuroscience, medicine.disease, Surgery, medicine.anatomical_structure, Meningeal artery, Neurology (clinical), medicine.symptom, business, 030217 neurology & neurosurgery, Cerebral angiography
Abstract

Traumatic arteriovenous fistulas (AVFs) involving the external carotid artery are exceedingly rare in young adults. Since an AVF is the most common life-threatening cause for pulsatile tinnitus (PT), meticulous evaluation and treatment of patients with PT is crucial. Here, we present two traumatic AVF cases treated with coil embolization leading to no residual fistulous connections followed by an immediate and complete resolution of PT. A 20-year-old man developed left ear tinnitus three months after a traumatic brain injury involving the right temporal bone fracture. Cerebral angiography demonstrated an enlarged left middle meningeal artery (MMA) and a fistular point at the posterior branch of the MMA draining to the middle meningeal vein (MMV) and the left pterygoid plexus, suggesting an AVF. Another 18-year-old girl developed left tinnitus, left exophthalmos, and conjunctival injection 6 months after a traffic accident involving no demonstrable abnormal findings in the radiologic exam. Magnetic resonance angiography demonstrated a markedly dilated left MMA draining to the MMV, left cavernous sinus, and left superior ophthalmic vein. In both cases, coil embolization was performed with total obliteration of the fistular point.

Published
2020

24. Making smart cities work in the face of conflicts: lessons from practitioners of South Korea's U-City projects

Author

Kim, Joon Sik

Subjects
Sustainable urban development, City planning, Conflict management -- Methods -- Analysis, Architecture and design industries, Business, Business, international
Abstract

A common concern in relation to smart cities is how to turn the concept into reality. The aim of this research is to investigate the implementation process of smart cities based upon the experience of South Korea's U-City projects. The research shows that poorly-managed conflicts during implementation can diminish the potential of smart cities and discourage future improvements. The nature of smart cities is based on the concept of governance, while the planning practice is still in the notion of government. In order to facilitate the collaborative practice, the research has shown that collaborative institutional arrangements and joint fact-finding processes might secure an integrated service delivery for smart cities by overcoming operational difficulties in real-life contexts. Keywords: smart cities, U-City, smart infrastructure, planning practice, collaborative approach, Introduction New patterns of integration between construction and ICT (information and communication technology) industries have resulted in a novel form of urban development often described as 'smart cities'. The concept [...]

Published
2015
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25. A Case Report of a Chronic Intracerebral Hemorrhage Patient with Obstinate Gait Disturbance Treated with Korean Medicine and Rehabilitation Exercise

Author

Park Sang Soo, In-cheol Chae, Mi-so Park, Eunsun Jung, In-woo Choi, Seol，In-Chan, Yoo Ho Ryong, Hyunkyung Jo, Jiyun Cha, Kim Yoon Sik, and Chan-young Kim

Subjects
Intracerebral hemorrhage, medicine.medical_specialty, Physical medicine and rehabilitation, business.industry, Gait Disturbance, Rehabilitation exercise, medicine, medicine.disease, business
Published
2019

26. Association Between High Neutrophil to Lymphocyte Ratio and Delayed Recovery From Bell’s Palsy

Author

Kim, Hyung-Sik, Jung, Junyang, Dong, Sung Hwa, Kim, Sang Hoon, Jung, Su Young, and Yeo, Seung Geun

Subjects
medicine.medical_specialty, Neutrophils, Facial Paralysis, lcsh:Medicine, Gastroenterology, Diabetes mellitus, Internal medicine, Bell's palsy, Paralysis, medicine, Bell Palsy, Lymphocytes, Neutrophil to lymphocyte ratio, Palsy, business.industry, fungi, lcsh:R, Retrospective cohort study, medicine.disease, lcsh:Otorhinolaryngology, lcsh:RF1-547, Facial paralysis, Otorhinolaryngology, Original Article, Surgery, medicine.symptom, business
Abstract

Objectives Factors predictive of the severity of and recovery from Bell’s palsy remain unclear. This study evaluated the association between neutrophil to lymphocyte ratio (NLR) and the severity of and recovery from Bell’s palsy. Methods This retrospective study included 51 patients who were hospitalized with Bell’s palsy from 2015 to 2017. Degree of paralysis was assessed by House-Brackmann (H-B) grade. Patients with H-B grades 2–4 were classified as having mild to moderate palsy and patients with H-B grade 5 or 6 were classified as having severe palsy. Patients were evaluated for obesity, hypertension and diabetes mellitus, and blood tests were performed to determine NLR and platelet to lymphocyte ratio. Patients were treated with steroids and antiviral agents. H-B grade was assessed 1 week, 1 month, and 3 months after treatment. Results NLR was significantly higher in patients with severe than with mild to moderate palsy (P=0.048). Recovery time was significantly longer in patients with high NLR than low NLR (P=0.045). Conclusion Higher NLR in patients with Bell’s palsy was associated with longer recovery time. NLR may be prognostic of recovery time in patients with Bell’s palsy.

Published
2019

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

Author

Klionsky, Daniel, Abdel-Aziz, Amal Kamal, Abdelfatah, Sara, Abdellatif, Mahmoud, Abdoli, Asghar, Abel, Steffen, Abeliovich, Hagai, Abildgaard, Marie, Abudu, Yakubu Princely, Acevedo-Arozena, Abraham, Adamopoulos, Iannis, Adeli, Khosrow, Adolph, Timon, Adornetto, Annagrazia, Aflaki, Elma, Agam, Galila, Agarwal, Anupam, Aggarwal, Bharat, Agnello, Maria, Agostinis, Patrizia, Agrewala, Javed, Agrotis, Alexander, Aguilar, Patricia, Ahmad, S Tariq, Ahmed, Zubair, Ahumada-Castro, Ulises, Aits, Sonja, Aizawa, Shu, Akkoc, Yunus, Akoumianaki, Tonia, Akpinar, Hafize Aysin, Al-Abd, Ahmed, Al-Akra, Lina, Al-Gharaibeh, Abeer, Alaoui-Jamali, Moulay, Alberti, Simon, Alcocer-Gómez, Elísabet, Alessandri, Cristiano, Ali, Muhammad, Alim Al-Bari, M Abdul, Aliwaini, Saeb, Alizadeh, Javad, Almacellas, Eugènia, Almasan, Alexandru, Alonso, Alicia, Alonso, Guillermo, Altan-Bonnet, Nihal, Altieri, Dario, Álvarez, Élida, Alves, Sara, Alves Da Costa, Cristine, Alzaharna, Mazen, Amadio, Marialaura, Amantini, Consuelo, Amaral, Cristina, Ambrosio, Susanna, Amer, Amal, Ammanathan, Veena, An, Zhenyi, Andersen, Stig, Andrabi, Shaida, Andrade-Silva, Magaiver, Andres, Allen, Angelini, Sabrina, Ann, David, Anozie, Uche, Ansari, Mohammad, Antas, Pedro, Antebi, Adam, Antón, Zuriñe, Anwar, Tahira, Apetoh, Lionel, Apostolova, Nadezda, Araki, Toshiyuki, Araki, Yasuhiro, Arasaki, Kohei, Araújo, Wagner, Araya, Jun, Arden, Catherine, Arévalo, Maria-Angeles, Arguelles, Sandro, Arias, Esperanza, Arikkath, Jyothi, Arimoto, Hirokazu, Ariosa, Aileen, Armstrong-James, Darius, Arnauné-Pelloquin, Laetitia, Aroca, Angeles, Arroyo, Daniela, Arsov, Ivica, Artero, Rubén, Asaro, Dalia Maria Lucia, Aschner, Michael, Ashrafizadeh, Milad, Ashur-Fabian, Osnat, Atanasov, Atanas, Au, Alicia, Auberger, Patrick, Auner, Holger, Aurelian, Laure, Autelli, Riccardo, Avagliano, Laura, Ávalos, Yenniffer, Aveic, Sanja, Aveleira, Célia Alexandra, Avin-Wittenberg, Tamar, Aydin, Yucel, Ayton, Scott, Ayyadevara, Srinivas, Azzopardi, Maria, Baba, Misuzu, Backer, Jonathan, Backues, Steven, Bae, Dong-Hun, Bae, Ok-Nam, Bae, Soo Han, Baehrecke, Eric, Baek, Ahruem, Baek, Seung-Hoon, Baek, Sung Hee, Bagetta, Giacinto, Bagniewska-Zadworna, Agnieszka, Bai, Hua, Bai, Jie, Bai, Xiyuan, Bai, Yidong, Bairagi, Nandadulal, Baksi, Shounak, Balbi, Teresa, Baldari, Cosima, Balduini, Walter, Ballabio, Andrea, Ballester, Maria, Balazadeh, Salma, Balzan, Rena, Bandopadhyay, Rina, Banerjee, Sreeparna, Banerjee, Sulagna, Bánréti, Ágnes, Bao, Yan, Baptista, Mauricio, Baracca, Alessandra, Barbati, Cristiana, Bargiela, Ariadna, Barilà, Daniela, Barlow, Peter, Barmada, Sami, Barreiro, Esther, Barreto, George, Bartek, Jiri, Bartel, Bonnie, Bartolome, Alberto, Barve, Gaurav, Basagoudanavar, Suresh, Bassham, Diane, Bast, Robert, Basu, Alakananda, Batoko, Henri, Batten, Isabella, Baulieu, Etienne, Baumgarner, Bradley, Bayry, Jagadeesh, Beale, Rupert, Beau, Isabelle, Beaumatin, Florian, Bechara, Luiz, Beck, George, Beers, Michael, Begun, Jakob, Behrends, Christian, Behrens, Georg, Bei, Roberto, Bejarano, Eloy, Bel, Shai, Behl, Christian, Belaid, Amine, Belgareh-Touzé, Naïma, Bellarosa, Cristina, Belleudi, Francesca, Belló Pérez, Melissa, Bello-Morales, Raquel, Beltran, Jackeline Soares de Oliveira, Beltran, Sebastián, Benbrook, Doris Mangiaracina, Bendorius, Mykolas, Benitez, Bruno, Benito-Cuesta, Irene, Bensalem, Julien, Berchtold, Martin, Berezowska, Sabina, Bergamaschi, Daniele, Bergami, Matteo, Bergmann, Andreas, Berliocchi, Laura, Berlioz-Torrent, Clarisse, Bernard, Amélie, Berthoux, Lionel, Besirli, Cagri, Besteiro, Sebastien, Betin, Virginie, Beyaert, Rudi, Bezbradica, Jelena, Bhaskar, Kiran, Bhatia-Kissova, Ingrid, Bhattacharya, Resham, Bhattacharya, Sujoy, Bhattacharyya, Shalmoli, Bhuiyan, Md Shenuarin, Bhutia, Sujit Kumar, Bi, Lanrong, Bi, Xiaolin, Biden, Trevor, Bijian, Krikor, Billes, Viktor, Binart, Nadine, Bincoletto, Claudia, Birgisdottir, Asa, Bjorkoy, Geir, Blanco, Gonzalo, Blas-Garcia, Ana, Blasiak, Janusz, Blomgran, Robert, Blomgren, Klas, Blum, Janice, Boada-Romero, Emilio, Boban, Mirta, Boesze-Battaglia, Kathleen, Boeuf, Philippe, Boland, Barry, Bomont, Pascale, Bonaldo, Paolo, Bonam, Srinivasa Reddy, Bonfili, Laura, Bonifacino, Juan, Boone, Brian, Bootman, Martin, Bordi, Matteo, Borner, Christoph, Bornhauser, Beat, Borthakur, Gautam, Bosch, Jürgen, Bose, Santanu, botana, luis, Botas, Juan, Boulanger, Chantal, Boulton, Michael, Bourdenx, Mathieu, Bourgeois, Benjamin, Bourke, Nollaig, Bousquet, Guilhem, Boya, Patricia, Bozhkov, Peter, Bozi, Luiz, Bozkurt, Tolga, Brackney, Doug, Brandts, Christian, Braun, Ralf, Braus, Gerhard, Bravo-Sagua, Roberto, Bravo-San Pedro, José, Brest, Patrick, Bringer, Marie-Agnès, Briones-Herrera, Alfredo, Broaddus, V Courtney, Brodersen, Peter, Brodsky, Jeffrey, Brody, Steven, Bronson, Paola, Bronstein, Jeff, Brown, Carolyn, Brown, Rhoderick, Brum, Patricia, Brumell, John, Brunetti-Pierri, Nicola, Bruno, Daniele, Bryson-Richardson, Robert, Bucci, Cecilia, Buchrieser, Carmen, Bueno, Marta, Buitrago-Molina, Laura Elisa, Buraschi, Simone, Buch, Shilpa, Buchan, J Ross, Buckingham, Erin, Budak, Hikmet, Budini, Mauricio, Bultynck, Geert, Burada, Florin, Burgoyne, Joseph, Burón, M Isabel, Bustos, Victor, Büttner, Sabrina, Butturini, Elena, Byrd, Aaron, Cabas, Isabel, Cabrera-Benitez, Sandra, Cadwell, Ken, Cai, Jingjing, Cai, Lu, Cai, Qian, Cairó, Montserrat, Calbet, Jose, Caldwell, Guy, Caldwell, Kim, Call, Jarrod, Calvani, Riccardo, Calvo, Ana, Calvo-Rubio Barrera, Miguel, Camara, Niels OS, Camonis, Jacques, Camougrand, Nadine, Campanella, Michelangelo, Campbell, Edward, Campbell-Valois, François-Xavier, Campello, Silvia, Campesi, Ilaria, Campos, Juliane, Camuzard, Olivier, Cancino, Jorge, Candido de Almeida, Danilo, Canesi, Laura, Caniggia, Isabella, Canonico, Barbara, Cantí, Carles, Cao, Bin, Caraglia, Michele, Caramés, Beatriz, Carchman, Evie, Cardenal-Muñoz, Elena, Cardenas, Cesar, Cardenas, Luis, Cardoso, Sandra, Carew, Jennifer, Carle, Georges, Carleton, Gillian, Carloni, Silvia, Carmona-Gutierrez, Didac, Carneiro, Leticia, Carnevali, Oliana, Carosi, Julian, Carra, Serena, Carrier, Alice, Carrier, Lucie, Carroll, Bernadette, Carter, A Brent, Carvalho, Andreia Neves, Casanova, Magali, Casas, Caty, Casas, Josefina, Cassioli, Chiara, Castillo, Eliseo, Castillo, Karen, Castillo-Lluva, Sonia, Castoldi, Francesca, Castori, Marco, Castro, Ariel, Castro-Caldas, Margarida, Castro-Hernandez, Javier, Castro-Obregon, Susana, Catz, Sergio, Cavadas, Claudia, Cavaliere, Federica, Cavallini, Gabriella, Cavinato, Maria, Cayuela, Maria, Cebollada Rica, Paula, Cecarini, Valentina, Cecconi, Francesco, Cechowska-Pasko, Marzanna, Cenci, Simone, Ceperuelo-Mallafré, Victòria, Cerqueira, João, Cerutti, Janete, Cervia, Davide, Cetintas, Vildan Bozok, Cetrullo, Silvia, Chae, Han-Jung, Chagin, Andrei, Chai, Chee-Yin, Chakrabarti, Gopal, Chakrabarti, Oishee, Chakraborty, Tapas, Chakraborty, Trinad, Chami, mounia, Chamilos, Georgios, Chan, David, Chan, Edmond, Chan, Edward, Chan, H.Y. Edwin, Chan, Helen, Chan, Hung, Chan, Matthew, Chan, Yau Sang, Chandra, Partha, Chang, Chih-Peng, Chang, Chunmei, Chang, Hao-Chun, Chang, Kai, Chao, Jie, Chapman, Tracey, Charlet-Berguerand, Nicolas, Chatterjee, Samrat, Chaube, Shail, Chaudhary, Anu, Chauhan, Santosh, Chaum, Edward, Checler, Frédéric, Cheetham, Michael, Chen, Chang-Shi, Chen, Guang-Chao, Chen, Jian-Fu, Chen, Liam, Chen, Leilei, Chen, Lin, Chen, Mingliang, Chen, Mu-Kuan, Chen, Ning, Chen, Quan, Chen, Ruey-Hwa, Chen, Shi, Chen, Wei, Chen, Weiqiang, Chen, Xin-Ming, Chen, Xiong-Wen, Chen, Xu, Chen, Yan, Chen, Ye-Guang, Chen, Yingyu, Chen, Yongqiang, Chen, Yu-Jen, Chen, Yue-Qin, Chen, Zhefan Stephen, Chen, Zhi, Chen, Zhi-Hua, Chen, Zhijian, Chen, Zhixiang, Cheng, Hanhua, Cheng, Jun, Cheng, Shi-Yuan, Cheng, Wei, Cheng, Xiaodong, Cheng, Xiu-Tang, Cheng, Yiyun, Cheng, Zhiyong, Chen, Zhong, Cheong, Heesun, Cheong, Jit Kong, Chernyak, Boris, Cherry, Sara, Cheung, Chi Fai Randy, Cheung, Chun Hei Antonio, Cheung, King-Ho, Chevet, Eric, Chi, Richard, Chiang, Alan Kwok Shing, Chiaradonna, Ferdinando, Chiarelli, Roberto, Chiariello, Mario, Chica, Nathalia, Chiocca, Susanna, Chiong, Mario, Chiou, Shih-Hwa, Chiramel, Abhilash, Chiurchiù, Valerio, Cho, Dong-Hyung, Choe, Seong-Kyu, Choi, Augustine, Choi, Mary, Choudhury, Kamalika Roy, Chow, Norman, Chu, Charleen, Chua, Jason, Chua, John Jia En, Chung, Hyewon, Chung, Kin Pan, Chung, Seockhoon, Chung, So-Hyang, Chung, Yuen-Li, Cianfanelli, Valentina, Ciechomska, Iwona, Cifuentes, Mariana, Cinque, Laura, Cirak, Sebahattin, Cirone, Mara, Clague, Michael, Clarke, Robert, Clementi, Emilio, Coccia, Eliana, Codogno, Patrice, Cohen, Ehud, Cohen, Mickael, Colasanti, Tania, Colasuonno, Fiorella, Colbert, Robert, Colell, Anna, Čolić, Miodrag, Coll, Nuria, Collins, Mark, Colombo, María, Colón-Ramos, Daniel, Combaret, Lydie, Comincini, Sergio, Cominetti, Márcia, Consiglio, Antonella, Conte, Andrea, Conti, Fabrizio, Contu, Viorica Raluca, Cookson, Mark, Coombs, Kevin, Coppens, Isabelle, Corasaniti, Maria Tiziana, Corkery, Dale, Cordes, Nils, Cortese, Katia, Costa, Maria do Carmo, Costantino, Sarah, Costelli, Paola, Coto-Montes, Ana, Crack, Peter, Crespo, Jose, Criollo, Alfredo, Crippa, Valeria, Cristofani, Riccardo, Csizmadia, Tamas, Cuadrado, Antonio, Cui, Bing, Cui, Jun, Cui, Yixian, Cui, Yong, Culetto, Emmanuel, Cumino, Andrea, Cybulsky, Andrey, Czaja, Mark, Czuczwar, Stanislaw, D'Adamo, Stefania, D'Amelio, Marcello, D'Arcangelo, Daniela, D'Lugos, Andrew, D'Orazi, Gabriella, da Silva, James, Dafsari, Hormos Salimi, Dagda, Ruben, Dagdas, Yasin, Daglia, Maria, Dai, Xiaoxia, Dai, Yun, Dai, Yuyuan, Dal Col, Jessica, Dalhaimer, Paul, Dalla Valle, Luisa, Dallenga, Tobias, Dalmasso, Guillaume, Damme, Markus, Dando, Ilaria, Dantuma, Nico, Darling, April, Das, Hiranmoy, Dasarathy, Srinivasan, Dasari, Santosh, Dash, Srikanta, Daumke, Oliver, Dauphinee, Adrian, Davies, Jeffrey, Dávila, Valeria, Davis, Roger, Davis, Tanja, Dayalan Naidu, Sharadha, De Amicis, Francesca, De Bosscher, Karolien, De Felice, Francesca, De Franceschi, Lucia, De Leonibus, Chiara, de Mattos Barbosa, Mayara, De Meyer, Guido, De Milito, Angelo, De Nunzio, Cosimo, De Palma, Clara, De Santi, Mauro, De Virgilio, Claudio, De Zio, Daniela, Debnath, Jayanta, DeBosch, Brian, Decuypere, Jean-Paul, Deehan, Mark, Deflorian, Gianluca, DeGregori, James, Dehay, Benjamin, Del Rio, Gabriel, Delaney, Joe, Delbridge, Lea, Delorme-Axford, Elizabeth, Delpino, M Victoria, Demarchi, Francesca, Dembitz, Vilma, Demers, Nicholas, Deng, Hongbin, Deng, Zhiqiang, Dengjel, Joern, Dent, Paul, Denton, Donna, DePamphilis, Melvin, Der, Channing, Deretic, Vojo, Descoteaux, Albert, Devis, Laura, Devkota, Sushil, Devuyst, Olivier, Dewson, Grant, Dharmasivam, Mahendiran, Dhiman, Rohan, di Bernardo, Diego, Di Cristina, Manlio, Di Domenico, Fabio, Di Fazio, Pietro, Di Fonzo, Alessio, Di Guardo, Giovanni, Di Guglielmo, Gianni, Di Leo, Luca, Di Malta, Chiara, Di Nardo, Alessia, Di Rienzo, Martina, Di Sano, Federica, Diallinas, George, Diao, Jiajie, Diaz-Araya, Guillermo, Díaz-Laviada, Inés, Dickinson, Jared, Diederich, Marc, Dieudé, Mélanie, Dikic, Ivan, Ding, Shiping, Ding, Wen-Xing, Dini, Luciana, Dinić, Jelena, Dinic, Miroslav, Dinkova-Kostova, Albena, Dionne, Marc, Distler, Jörg, Diwan, Abhinav, Dixon, Ian, Djavaheri-Mergny, Mojgan, Dobrinski, Ina, Dobrovinskaya, Oxana, Dobrowolski, Radek, Dobson, Renwick, Đokić, Jelena, Dokmeci Emre, Serap, Donadelli, Massimo, Dong, Bo, Dong, Xiaonan, Dong, Zhiwu, Dorn Ii, Gerald, Dotsch, Volker, Dou, Huan, Dou, Juan, Dowaidar, Moataz, Dridi, Sami, Drucker, Liat, Du, Ailian, Du, Caigan, Du, Guangwei, Du, Hai-Ning, Du, Li-Lin, du Toit, André, Duan, Shao-Bin, Duan, Xiaoqiong, Duarte, Sónia, Dubrovska, Anna, Dunlop, Elaine, Dupont, Nicolas, Durán, Raúl, Dwarakanath, Bilikere, Dyshlovoy, Sergey, Ebrahimi-Fakhari, Darius, Eckhart, Leopold, Edelstein, Charles, Efferth, Thomas, Eftekharpour, Eftekhar, Eichinger, Ludwig, Eid, Nabil, Eisenberg, Tobias, Eissa, N Tony, Eissa, Sanaa, Ejarque, Miriam, El Andaloussi, Abdeljabar, El-Hage, Nazira, El-Naggar, Shahenda, Eleuteri, Anna Maria, El-Shafey, Eman, Elgendy, Mohamed, Eliopoulos, Aristides, Elizalde, María, Elks, Philip, Elsasser, Hans-Peter, Elsherbiny, Eslam, Emerling, Brooke, Emre, N., Eng, Christina, Engedal, Nikolai, Engelbrecht, Anna-Mart, Engelsen, Agnete, Enserink, Jorrit, Escalante, Ricardo, Esclatine, Audrey, Escobar-Henriques, Mafalda, Eskelinen, Eeva-Liisa, Espert, Lucile, Eusebio, Makandjou-Ola, Fabrias, Gemma, Fabrizi, Cinzia, Facchiano, Antonio, Facchiano, Francesco, Fadeel, Bengt, Fader, Claudio, Faesen, Alex, Fairlie, W Douglas, Falcó, Alberto, Falkenburger, Bjorn, Fan, Daping, Fan, Jie, Fan, Yanbo, Fang, Evandro, Fang, Yanshan, Fang, Yognqi, Fanto, Manolis, Farfel-Becker, Tamar, Faure, Mathias, Fazeli, Gholamreza, Fedele, Anthony, Feldman, Arthur, Feng, Du, Feng, Jiachun, Feng, Lifeng, Feng, Yibin, Feng, Yuchen, Feng, Wei, Fenz Araujo, Thais, Ferguson, Thomas, Fernández, Álvaro, Fernandez-Checa, Jose, Fernández-Veledo, Sonia, Fernie, Alisdair, Ferrante, Anthony, Ferraresi, Alessandra, Ferrari, Merari, Ferreira, Julio, Ferro-Novick, Susan, Figueras, Antonio, Filadi, Riccardo, Filigheddu, Nicoletta, Filippi-Chiela, Eduardo, Filomeni, Giuseppe, Fimia, Gian Maria, Fineschi, Vittorio, Finetti, Francesca, Finkbeiner, Steven, Fisher, Edward, Fisher, Paul, Flamigni, Flavio, Fliesler, Steven, Flo, Trude, Florance, Ida, Florey, Oliver, Florio, Tullio, Fodor, Erika, Follo, Carlo, Fon, Edward, Forlino, Antonella, Fornai, Francesco, Fortini, Paola, Fracassi, Anna, Fraldi, Alessandro, Franco, Brunella, Franco, Rodrigo, Franconi, Flavia, Frankel, Lisa, Friedman, Scott, Fröhlich, Leopold, Frühbeck, Gema, Fuentes, Jose, Fujiki, Yukio, Fujita, Naonobu, Fujiwara, Yuuki, Fukuda, Mitsunori, Fulda, Simone, Furic, Luc, Furuya, Norihiko, Fusco, Carmela, Gack, Michaela, Gaffke, Lidia, Galadari, Sehamuddin, Galasso, Alessia, Galindo, Maria, Gallolu Kankanamalage, Sachith, Galluzzi, Lorenzo, Galy, Vincent, Gammoh, Noor, Gan, Boyi, Ganley, Ian, Gao, Feng, Gao, Hui, Gao, Minghui, Gao, Ping, Gao, Shou-Jiang, Gao, Wentao, Gao, Xiaobo, Garcera, Ana, Garcia, Maria Noé, Garcia, Verónica, García-del Portillo, Francisco, Garcia-Escudero, Vega, Garcia-Garcia, Aracely, Garcia-Macia, Marina, García-Moreno, Diana, Garcia-Ruiz, Carmen, García-Sanz, Patricia, Garg, Abhishek, Gargini, Ricardo, Garofalo, Tina, Garry, Robert, Gassen, Nils, Gatica, Damian, Ge, Liang, Ge, Wanzhong, Geiss-Friedlander, Ruth, Gelfi, Cecilia, Genschik, Pascal, Gentle, Ian, Gerbino, Valeria, Gerhardt, Christoph, Germain, Kyla, Germain, Marc, Gewirtz, David, Ghasemipour Afshar, Elham, Ghavami, Saeid, Ghigo, Alessandra, Ghosh, Manosij, Giamas, Georgios, Giampietri, Claudia, Giatromanolaki, Alexandra, Gibson, Gary, Gibson, Spencer, Ginet, Vanessa, Giniger, Edward, Giorgi, Carlotta, Girao, Henrique, Girardin, Stephen, Giridharan, Mridhula, Giuliano, Sandy, Giulivi, Cecilia, Giuriato, Sylvie, Giustiniani, Julien, Gluschko, Alexander, Goder, Veit, Goginashvili, Alexander, Golab, Jakub, Goldstone, David, Golebiewska, Anna, Gomes, Luciana, Gomez, Rodrigo, Gómez-Sánchez, Rubén, Gomez-Puerto, Maria Catalina, Gomez-Sintes, Raquel, Gong, Qingqiu, Goni, Felix, González-Gallego, Javier, Gonzalez-Hernandez, Tomas, Gonzalez-Polo, Rosa, Gonzalez-Reyes, Jose, González-Rodríguez, Patricia, Goping, Ing Swie, Gorbatyuk, Marina, Gorbunov, Nikolai, Görgülü, Kıvanç, Gorojod, Roxana, Gorski, Sharon, Goruppi, Sandro, Gotor, Cecilia, Gottlieb, Roberta, Gozes, Illana, Gozuacik, Devrim, Graef, Martin, Gräler, Markus, Granatiero, Veronica, Grasso, Daniel, Gray, Joshua, Green, Douglas, Greenhough, Alexander, Gregory, Stephen, Griffin, Edward, Grinstaff, Mark, Gros, Frederic, Grose, Charles, Gross, Angelina, Gruber, Florian, Grumati, Paolo, Grune, Tilman, Gu, Xueyan, Guan, Jun-Lin, Guardia, Carlos, Guda, Kishore, Guerra, Flora, Guerri, Consuelo, Guha, Prasun, Guillén, Carlos, Gujar, Shashi, Gukovskaya, Anna, Gukovsky, Ilya, Gunst, Jan, Günther, Andreas, Guntur, Anyonya, Guo, Chuanyong, Guo, Chun, Guo, Hongqing, Guo, Lian-Wang, Guo, Ming, Gupta, Pawan, Gupta, Shashi Kumar, Gupta, Swapnil, Gupta, Veer Bala, Gupta, Vivek, Gustafsson, Asa, Gutterman, David, H B, Ranjitha, Haapasalo, Annakaisa, Haber, James, Hać, Aleksandra, Hadano, Shinji, Hafrén, Anders, Haidar, Mansour, Hall, Belinda, Halldén, Gunnel, Hamacher-Brady, Anne, Hamann, Andrea, Hamasaki, Maho, Han, Weidong, Hansen, Malene, Hanson, Phyllis, Hao, Zijian, Harada, Masaru, Harhaji-Trajkovic, Ljubica, Hariharan, Nirmala, Haroon, Nigil, Harris, James, Hasegawa, Takafumi, Hasima Nagoor, Noor, Haspel, Jeffrey, Haucke, Volker, Hawkins, Wayne, Hay, Bruce, Haynes, Cole, Hayrabedyan, Soren, Hays, Thomas, He, Congcong, He, Qin, He, Rong-Rong, He, You-Wen, He, Yu-Ying, Heakal, Yasser, Heberle, Alexander, Hejtmancik, J Fielding, Helgason, Gudmundur Vignir, Henkel, Vanessa, Herb, Marc, Hergovich, Alexander, Herman-Antosiewicz, Anna, Hernández, Agustín, Hernandez, Carlos, Hernandez-Diaz, Sergio, Hernandez-Gea, Virginia, Herpin, Amaury, Herreros, Judit, Hervás, Javier, Hesselson, Daniel, Hetz, Claudio, Heussler, Volker, Higuchi, Yujiro, Hilfiker, Sabine, Hill, Joseph, Hlavacek, William, Ho, Emmanuel, Ho, Idy, Ho, Philip Wing-Lok, Ho, Shu-Leong, Ho, Wan Yun, Hobbs, G Aaron, Hochstrasser, Mark, Hoet, Peter, Hofius, Daniel, Hofman, Paul, Höhn, Annika, Holmberg, Carina, Hombrebueno, Jose, Yi-Ren Hong, Chang-Won Hong, Hooper, Lora, Hoppe, Thorsten, Horos, Rastislav, Hoshida, Yujin, Hsin, I-Lun, Hsu, Hsin-Yun, Hu, Bing, Hu, Dong, Hu, Li-Fang, Hu, Ming Chang, Hu, Ronggui, Hu, Wei, Hu, Yu-Chen, Hu, Zhuo-Wei, Hua, Fang, Hua, Jinlian, Hua, Yingqi, Huan, Chongmin, Huang, Canhua, Huang, Chuanshu, Huang, Chuanxin, Huang, Chunling, Huang, Haishan, Huang, Kun, Huang, Michael, Huang, Rui, Huang, Shan, Huang, Tianzhi, Huang, Xing, Huang, Yuxiang Jack, Huber, Tobias, Hubert, Virginie, Hubner, Christian, Hughes, Stephanie, Hughes, William, Humbert, Magali, Hummer, Gerhard, Hurley, James, Hussain, Sabah, Hussain, Salik, Hussey, Patrick, Hutabarat, Martina, Hwang, Hui-Yun, Hwang, Seungmin, Ieni, Antonio, Ikeda, Fumiyo, Imagawa, Yusuke, Imai, Yuzuru, Imbriano, Carol, Imoto, Masaya, Inman, Denise, Inoki, Ken, Iovanna, Juan, Iozzo, Renato, Ippolito, Giuseppe, Irazoqui, Javier, Iribarren, Pablo, Ishaq, Mohd, ISHIKAWA, Makoto, Ishimwe, Nestor, Isidoro, Ciro, Ismail, Nahed, Issazadeh-Navikas, Shohreh, Itakura, Eisuke, Ito, Daisuke, Ivankovic, Davor, Ivanova, Saška, Iyer, Anand Krishnan V, Izquierdo, José, Izumi, Masanori, Jäättelä, Marja, Jabir, Majid Sakhi, Jackson, William, Jacobo-Herrera, Nadia, Jacomin, Anne-Claire, Jacquin, Elise, Jadiya, Pooja, Jaeschke, Hartmut, Jagannath, Chinnaswamy, Jakobi, Arjen, Jakobsson, Johan, Janji, Bassam, Jansen-Dürr, Pidder, Jansson, Patric, Jantsch, Jonathan, Januszewski, Sławomir, Jassey, Alagie, Jean, Steve, Jeltsch-David, Hélène, Jendelova, Pavla, Jenny, Andreas, Jensen, Thomas, Jessen, Niels, Jewell, Jenna, Ji, Jing, Jia, Lijun, Jia, Rui, Jiang, Liwen, Jiang, Qing, Jiang, Richeng, Jiang, Teng, Jiang, Xuejun, Jiang, Yu, Jimenez-Sanchez, Maria, Jin, Eun-Jung, Jin, Fengyan, Jin, Hongchuan, Jin, Li, Jin, Luqi, Jin, Meiyan, Jin, Si, Jo, Eun-Kyeong, Joffre, Carine, Johansen, Terje, Johnson, Gail, Johnston, Simon, Jokitalo, Eija, Jolly, Mohit Kumar, Joosten, Leo, Jordan, Joaquin, Joseph, Bertrand, Ju, Dianwen, Ju, Jeong-Sun, Ju, Jingfang, Juárez, Esmeralda, Judith, Delphine, Juhász, Gábor, Jun, Youngsoo, Jung, Chang Hwa, Jung, Sung-Chul, Jung, Yong Keun, Jungbluth, Heinz, Jungverdorben, Johannes, Just, Steffen, Kaarniranta, Kai, Kaasik, Allen, Kabuta, Tomohiro, Kaganovich, Daniel, Kahana, Alon, Kain, Renate, Kajimura, Shinjo, Kalamvoki, Maria, Kalia, Manjula, Kalinowski, Danuta, Kaludercic, Nina, Kalvari, Ioanna, Kaminska, Joanna, Kaminskyy, Vitaliy, Kanamori, Hiromitsu, Kanasaki, Keizo, Kang, Chanhee, Kang, Rui, Kang, Sang Sun, Kaniyappan, Senthilvelrajan, Kanki, Tomotake, Kanneganti, Thirumala-Devi, Kanthasamy, Anumantha, Kanthasamy, Arthi, Kantorow, Marc, Kapuy, Orsolya, Karamouzis, Michalis, Karim, Md Razaul, Karmakar, Parimal, Katare, Rajesh, Kato, Masaru, Kaufmann, Stefan, Kauppinen, Anu, Kaushal, Gur, Kaushik, Susmita, Kawasaki, Kiyoshi, Kazan, Kemal, Ke, Po-Yuan, Keating, Damien, Keber, Ursula, Kehrl, John, Keller, Kate, Keller, Christian, Kemper, Jongsook Kim, Kenific, Candia, Kepp, Oliver, Kermorgant, Stephanie, Kern, Andreas, Ketteler, Robin, Keulers, Tom, Khalfin, Boris, Khalil, Hany, Khambu, Bilon, Khan, Shahid, Khandelwal, Vinoth Kumar Megraj, Khandia, Rekha, Kho, Widuri, Khobrekar, Noopur, Khuansuwan, Sataree, Khundadze, Mukhran, Killackey, Samuel, Kim, Dasol, Kim, Deok Ryong, Kim, Do-Hyung, Kim, Dong-Eun, Kim, Eun Young, Kim, Eun-Kyoung, Kim, Hak-Rim, Kim, Hee-Sik, Kim, Hyung Ryong, Kim, Jeong Hun, Kim, Jin Kyung, Kim, Jin-Hoi, Kim, Joungmok, Kim, Ju Hwan, Kim, Keun Il, Kim, Peter, Kim, Seong-Jun, Kimball, Scot, Kimchi, Adi, Kimmelman, Alec, Kimura, Tomonori, King, Matthew, Kinghorn, Kerri, Kinsey, Conan, Kirkin, Vladimir, Kirshenbaum, Lorrie, Kiselev, Sergey, Kishi, Shuji, Kitamoto, Katsuhiko, Kitaoka, Yasushi, Kitazato, Kaio, Kitsis, Richard, Kittler, Josef, Kjaerulff, Ole, Klein, Peter, Klopstock, Thomas, Klucken, Jochen, Knævelsrud, Helene, Knorr, Roland, Ko, Ben, Ko, Fred, Ko, Jiunn-Liang, Kobayashi, Hotaka, Kobayashi, Satoru, Koch, Ina, Koch, Jan, Koenig, Ulrich, Kögel, Donat, Koh, Young Ho, Koike, Masato, Kohlwein, Sepp, Kocaturk, Nur, Komatsu, Masaaki, König, Jeannette, Kono, Toru, Kopp, Benjamin, Korcsmaros, Tamas, Korkmaz, Gözde, Korolchuk, Viktor, Korsnes, Mónica Suárez, Koskela, Ali, Kota, Janaiah, Kotake, Yaichiro, Kotler, Monica, Kou, Yanjun, Koukourakis, Michael, Koustas, Evangelos, Kovacs, Attila, Kovács, Tibor, Koya, Daisuke, Kozako, Tomohiro, Kraft, Claudine, Krainc, Dimitri, Krämer, Helmut, Krasnodembskaya, Anna, Kretz-Remy, Carole, Kroemer, Guido, Ktistakis, Nicholas, Kuchitsu, Kazuyuki, Kuenen, Sabine, Kuerschner, Lars, Kukar, Thomas, Kumar, Ajay, Kumar, Ashok, Kumar, Deepak, Kumar, Dhiraj, Kumar, Sharad, Kume, Shinji, Kumsta, Caroline, Kundu, Chanakya, Kundu, Mondira, Kunnumakkara, Ajaikumar, Kurgan, Lukasz, Kutateladze, Tatiana, Kutlu, Ozlem, Kwak, SeongAe, Kwon, Ho Jeong, Kwon, Taeg Kyu, Kwon, Yong Tae, Kyrmizi, Irene, La Spada, Albert, Labonté, Patrick, Ladoire, Sylvain, Laface, Ilaria, Lafont, Frank, Lagace, Diane, Lahiri, Vikramjit, Lai, Zhibing, Laird, Angela, Lakkaraju, Aparna, Lamark, Trond, Lan, Sheng-Hui, Landajuela, Ane, Lane, Darius, Lane, Jon, Lang, Charles, Lange, Carsten, Langel, Ülo, Langer, Rupert, Lapaquette, Pierre, Laporte, Jocelyn, LaRusso, Nicholas, Lastres-Becker, Isabel, Lau, Wilson Chun Yu, Laurie, Gordon, Lavandero, Sergio, Law, Betty Yuen Kwan, Law, Helen Ka-wai, Layfield, Rob, Le, Weidong, Le Stunff, Herve, Leary, Alexandre, Lebrun, Jean-Jacques, Leck, Lionel, Leduc-Gaudet, Jean-Philippe, Lee, Changwook, Lee, Chung-Pei, Lee, 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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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Elena, Uchiyama, Yasuo, Ugun-Klusek, Aslihan, Uhlig, Holm, Ułamek-Kozioł, Marzena, Ulasov, Ilya, Umekawa, Midori, Ungermann, Christian, Unno, Rei, Urbe, Sylvie, Uribe-Carretero, Elisabet, Üstün, Suayib, Uversky, Vladimir, Vaccari, Thomas, Vaccaro, Maria, Vahsen, Björn, Vakifahmetoglu-Norberg, Helin, Valdor, Rut, Valente, Maria, Valko, Ayelén, Vallee, Richard, Valverde, Angela, Van Den Berghe, Greet, van der Veen, Stijn, Van Kaer, Luc, van Loosdregt, Jorg, van Wijk, Sjoerd, Vandenberghe, Wim, Vanhorebeek, Ilse, Vannier-Santos, Marcos, Vannini, Nicola, Vanrell, M Cristina, Vantaggiato, Chiara, Varano, Gabriele, Varela-Nieto, Isabel, Varga, Máté, Vasconcelos, M Helena, Vats, Somya, Vavvas, Demetrios, Vega-Naredo, Ignacio, Vega-Rubin-de-Celis, Silvia, Velasco, Guillermo, Velázquez, Ariadna, Vellai, Tibor, Vellenga, Edo, Velotti, Francesca, Verdier, Mireille, Verginis, Panayotis, Vergne, Isabelle, Verkade, Paul, Verma, Manish, Verstreken, Patrik, Vervliet, Tim, Vervoorts, Jörg, Vessoni, Alexandre, Victor, Victor, Vidal, Michel, Vidoni, Chiara, Vieira, Otilia, Vierstra, Richard, Viganó, Sonia, Vihinen, Helena, Vijayan, Vinoy, Vila, Miquel, Vilar, Marçal, Villalba, José, Villalobo, Antonio, Villarejo-Zori, Beatriz, Villarroya, Francesc, Villarroya, Joan, Vincent, Olivier, Vindis, Cecile, Viret, Christophe, Viscomi, Maria Teresa, Visnjic, Dora, Vitale, Ilio, Vocadlo, David, Voitsekhovskaja, Olga, Volonté, Cinzia, Volta, Mattia, Vomero, Marta, Von Haefen, Clarissa, Vooijs, Marc, Voos, Wolfgang, Vucicevic, Ljubica, Wade-Martins, Richard, Waguri, Satoshi, Waite, Kenrick, Wakatsuki, Shuji, Walker, David, Walker, Mark, Walker, Simon, Walter, Jochen, Wandosell, Francisco, Wang, Bo, Wang, Chao-Yung, Wang, Chen, Wang, Chenran, Wang, Chenwei, Wang, Cun-Yu, Wang, Dong, Wang, Fangyang, Wang, Feng, Wang, Fengming, Wang, Guansong, Wang, Han, Wang, Hao, Wang, Hexiang, Wang, Hong-Gang, Wang, Jianrong, Wang, Jigang, Wang, Jiou, Wang, Jundong, Wang, Kui, Wang, Lianrong, Wang, Liming, Wang, Maggie Haitian, Wang, Meiqing, Wang, Nanbu, Wang, PengWei, Wang, PeiPei, Wang, Ping, Wang, Qing Jun, Wang, Qing, Wang, Qing Kenneth, Wang, Qiong, Wang, Wen-Tao, Wang, Wuyang, Wang, Xinnan, Wang, Xuejun, Wang, Yan, Wang, Yanchang, Wang, Yanzhuang, Wang, Yen-Yun, Wang, Yihua, Wang, Yipeng, Wang, Yu, wang, yuqi, Wang, Zhe, Wang, Zhenyu, Wang, Zhouguang, Warnes, Gary, Warnsmann, Verena, Watada, Hirotaka, Watanabe, Eizo, Watchon, Maxinne, Wawrzyńska, Anna, Weaver, Timothy, Wegrzyn, Grzegorz, Wehman, Ann, Wei, Huafeng, Wei, Lei, Wei, Taotao, Wei, Yongjie, Weiergräber, Oliver, Weihl, Conrad, Weindl, Günther, Weiskirchen, Ralf, Wells, Alan, Wen, Runxia, Wen, Xin, Werner, Antonia, Weykopf, Beatrice, Wheatley, Sally, Whitton, J Lindsay, Whitworth, Alexander, Wiktorska, Katarzyna, Wildenberg, Manon, Wileman, Tom, Wilkinson, Simon, Willbold, Dieter, Williams, Brett, Williams, Robin, Williams, Roger, Williamson, Peter, Wilson, Richard, Winner, Beate, Winsor, Nathaniel, Witkin, Steven, Wodrich, Harald, Woehlbier, Ute, Wollert, Thomas, Wong, Esther, Wong, Jack Ho, Wong, Richard, Wong, Vincent Kam Wai, Wong, W Wei-Lynn, Wu, An-Guo, Wu, Chengbiao, Wu, Jian, Wu, Junfang, Wu, Kenneth, Wu, Min, Wu, Shan-Ying, Wu, Shengzhou, Wu, Shu-Yan, Wu, Shufang, Wu, William, Wu, Xiaohong, Wu, Xiaoqing, Wu, Yao-Wen, Wu, Yihua, Xavier, Ramnik, Xia, Hongguang, Xia, Lixin, Xia, Zhengyuan, Xiang, Ge, Xiang, Jin, Xiang, Mingliang, Xiang, Wei, Xiao, Bin, Xiao, Guozhi, Xiao, Hengyi, Xiao, Hong-tao, Xiao, Jian, Xiao, Lan, Xiao, Shi, Xiao, Yin, Xie, Baoming, Xie, Chuan-Ming, Xie, Min, Xie, Yuxiang, Xie, Zhiping, Xie, Zhonglin, Xilouri, Maria, Xu, Congfeng, Xu, En, Xu, Haoxing, Xu, Jing, Xu, Jinrong, Xu, Liang, Xu, Wen Wen, Xu, Xiulong, Xue, Yu, Yakhine-Diop, Sokhna, Yamaguchi, Masamitsu, Yamaguchi, Osamu, Yamamoto, Ai, Yamashina, Shunhei, Yan, Shengmin, Yan, Shian-Jang, Yan, Zhen, Yanagi, Yasuo, Yang, Chuanbin, Yang, Dun-Sheng, Yang, Huan, Yang, Huang-Tian, Yang, Hui, Yang, Jin-Ming, Yang, Jing, Yang, Jingyu, Yang, Ling, Yang, Liu, Yang, Ming, Yang, Pei-Ming, Yang, Qian, Yang, Seungwon, Yang, Shu, Yang, Shun-Fa, Yang, Wannian, Yang, Wei Yuan, Yang, Xiaoyong, Yang, Xuesong, Yang, Yi, Yang, Ying, Yao, Honghong, Yao, Shenggen, Yao, Xiaoqiang, Yao, Yong-Gang, Yao, Yong-Ming, Yasui, Takahiro, Yazdankhah, Meysam, Yen, Paul, Yi, Cong, Yin, Xiao-Ming, Yin, Yanhai, Yin, Zhangyuan, Yin, Ziyi, Ying, Meidan, Ying, Zheng, Yip, Calvin, Yiu, Stephanie Pei Tung, Yoo, Young, Yoshida, Kiyotsugu, Yoshii, Saori, Yoshimori, Tamotsu, Yousefi, Bahman, Yu, Boxuan, Yu, Haiyang, Yu, Jun, Yu, Li, Yu, Ming-Lung, Yu, Seong-Woon, Yu, Victor, Yu, W Haung, Yu, Zhengping, Yu, Zhou, Yuan, Junying, Yuan, Ling-Qing, Yuan, Shilin, Yuan, Shyng-Shiou, Yuan, Yanggang, Yuan, Zengqiang, Yue, Jianbo, Yue, Zhenyu, Yun, Jeanho, Yung, Raymond, Zacks, David, Zaffagnini, Gabriele, Zambelli, Vanessa, Zanella, Isabella, Zang, Qun, Zanivan, Sara, Zappavigna, Silvia, Zaragoza, Pilar, Zarbalis, Konstantinos, Zarebkohan, Amir, Zarrouk, Amira, Zeitlin, Scott, Zeng, Jialiu, Zeng, Ju-deng, Žerovnik, Eva, Zhan, Lixuan, Zhang, Bin, Zhang, Donna, Zhang, Hanlin, Zhang, Hong, Zhang, Honghe, Zhang, Huafeng, Zhang, Huaye, Zhang, Hui, Zhang, Hui-Ling, Zhang, Jianbin, Zhang, Jianhua, Zhang, Jing-Pu, Zhang, Kalin, Zhang, Leshuai, Zhang, Lin, Zhang, Lisheng, Zhang, Lu, Zhang, Luoying, Zhang, Menghuan, Zhang, Peng, Zhang, Sheng, Zhang, Wei, Zhang, Xiangnan, Zhang, Xiao-Wei, Zhang, Xiaolei, Zhang, Xiaoyan, Zhang, Xin, Zhang, Xinxin, Zhang, Xu Dong, Zhang, Yang, Zhang, Yanjin, Zhang, Yi, Zhang, Ying-Dong, Zhang, Yingmei, Zhang, Yuan-Yuan, Zhang, Yuchen, Zhang, Zhe, Zhang, Zhengguang, Zhang, Zhibing, Zhang, Zhihai, Zhang, Zhiyong, Zhang, Zili, Zhao, Haobin, Zhao, Lei, Zhao, Shuang, Zhao, Tongbiao, Zhao, Xiao-Fan, Zhao, Ying, Zhao, Yongchao, Zhao, Yongliang, Zhao, Yuting, Zheng, Guoping, Zheng, Kai, Zheng, Ling, Zheng, Shizhong, Zheng, Xi-Long, Zheng, Yi, Zheng, Zu-Guo, Zhivotovsky, Boris, Zhong, Qing, Zhou, Ao, Zhou, Ben, Zhou, Cefan, ZHOU, Gang, Zhou, Hao, Zhou, Hong, Zhou, Hongbo, Zhou, Jie, Zhou, Jing, Zhou, Jiyong, Zhou, Kailiang, Zhou, Rongjia, Zhou, Xu-jie, Zhou, Yanshuang, Zhou, Yinghong, Zhou, Yubin, Zhou, Zheng-Yu, Zhou, Zhou, Zhu, Binglin, Zhu, Changlian, Zhu, Guo-Qing, Zhu, Haining, Zhu, Hongxin, Zhu, Hua, Zhu, Wei-Guo, Zhu, Yanping, Zhu, Yushan, Zhuang, Haixia, Zhuang, Xiaohong, Zientara-Rytter, Katarzyna, Zimmermann, Christine, Ziviani, Elena, Zoladek, Teresa, Zong, Wei-Xing, Zorov, Dmitry, Zorzano, Antonio, Zou, Weiping, Zou, Zhen, Zou, Zhengzhi, Zuryn, Steven, Zwerschke, Werner, Brand-Saberi, Beate, Dong, X Charlie, Kenchappa, Chandra Shekar, Li, Zuguo, Lin, Yong, Oshima, Shigeru, Rong, Yueguang, Sluimer, Judith, Stallings, Christina, Tong, Chun-Kit, Ahmad, S. Tariq, Alim Al-Bari, M. Abdul, Bechara, Luiz R.G., Behrens, Georg M.N., Bhuiyan, Md. Shenuarin, Broaddus, V. Courtney, Buchan, J. Ross, Burón, M. Isabel, Carter, A. Brent, Chan, Matthew T.V., Choi, Augustine M.K., D’Adamo, Stefania, D’Amelio, Marcello, D’Arcangelo, Daniela, D’Lugos, Andrew, D’Orazi, Gabriella, De Meyer, Guido R.Y., Delpino, M. Victoria, Distler, Jörg H.W., Dixon, Ian M.C., Dobson, Renwick C.J., 2nd Dorn, Gerald, Eissa, N. Tony, Engelsen, Agnete S.T., Fairlie, W. Douglas, Ferreira, Julio C.B., H.B., Ranjitha, Hanson, Phyllis I., Hejtmancik, J. Fielding, Ho, Idy H.T., Hobbs, G. Aaron, Hoet, Peter H.M., Huang, Michael L.H., Iyer, Anand Krishnan V., Johnson, Gail V.W., Joosten, Leo A.B., Karim, Md. Razaul, Kaufmann, Stefan H.E., Ko, Ben C.B., Leck, Lionel Y.W., Lima, Thania R.R., Livingston, J. Andrew, Martin, Alexandre P.J., Montes, L. Ruth, Murphy, J. Patrick, Ng, Charlene C.W., Nicolao, M. Celeste, O’Donovan, Tracey, O’Leary, Seónadh, O’Rourke, Eyleen, O’Sullivan, Mary, O’Sullivan, Timothy, Omary, M. Bishr, Pereira, Gustavo J.S., Ratnayaka, J. Arjuna, Riazuddin, S. Amer, Rouschop, Kasper M.A., Sanderson, J. Thomas, Scaglione, K. Matthew, Schapira, Anthony H.V., Scovassi, A. Ivana, St. Clair, Daret, Sunahara, Karen K.S., Symons, J. David, Triola, Gemma, van Wijk, Sjoerd J.L., Vanrell, M. Cristina, Vasconcelos, M. Helena, Whitton, J. Lindsay, Williams, Robin S.B., Wong, W. Wei-Lynn, Wu, William K.K., Yakhine-Diop, Sokhna M.S., Yu, W. Haung, Zhang, Kalin Y.B., Dong, X. Charlie, Ain Shams University [ASU], Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University [JGU], Medical University Graz, Centre de Recherche des Cordeliers [CRC (UMR_S_1138 / U1138)], Institut Pasteur d'Iran, Leibniz Institute of Plant Biochemistry [IPB], The University of Texas M.D. Anderson Cancer Center [Houston], Institut de pharmacologie moléculaire et cellulaire [IPMC], Lipides - Nutrition - Cancer [Dijon - U1231] [LNC], Centre méditerranéen de médecine moléculaire [C3M], Institut de Biologie Valrose [IBV], Petites Molécules de neuroprotection, neurorégénération et remyélinisation, Signalisation Hormonale, Physiopathologie Endocrinienne et Métabolique, Institut Cochin [IC UM3 (UMR 8104 / U1016)], Institut NeuroMyoGène [INMG], Paris-Centre de Recherche Cardiovasculaire [PARCC (UMR_S 970/ U970)], Marqueurs cardiovasculaires en situation de stress [MASCOT (UMR_S_942 / U942)], Institut de Recherche sur le Cancer et le Vieillissement [IRCAN], Centre de Recherche en Cancérologie de Marseille [CRCM], Centre for Integrative Biology - CBI [Inserm U964 - CNRS UMR7104 - IGBMC], Oncogenesis, Stress, Signaling [OSS], Institut Necker Enfants-Malades [INEM - UM 111 (UMR 8253 / U1151)], Institut de Biologie Intégrative de la Cellule [I2BC], Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte [M2iSH], Centre de Recherches en Cancérologie de Toulouse [CRCT], Physiopathologie et traitement des maladies du foie, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL], Institut de Génétique et de Biologie Moléculaire et Cellulaire [IGBMC], Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] [BIO-PEROXIL], Centre de recherche sur l'Inflammation [CRI (UMR_S_1149 / ERL_8252 / U1149)], Unité de génétique et biologie des cancers [U830], Laboratoire d'Optique et Biosciences [LOB], Institut des Maladies Métaboliques et Casdiovasculaires [UPS/Inserm U1297 - I2MC], Différenciation et communication neuronale et neuroendocrine [DC2N], Institut de Recherche en Cancérologie de Montpellier [IRCM - U1194 Inserm - UM], Centre d'Immunologie de Marseille - Luminy [CIML], Physiopathologie et imagerie des troubles neurologiques [PhIND], Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée [LBFA], Imagine - Institut des maladies génétiques (IHU) [Imagine - U1163], Institut Mondor de Recherche Biomédicale [IMRB], Franco-czech Laboratory for clinical research on obesity, University of Michigan [Ann Arbor], University of Michigan System, Institut de pharmacologie moléculaire et cellulaire (IPMC), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Université Côte d'Azur (UCA), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Institut de Biologie Valrose (IBV), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Sud - Paris 11 (UP11), Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Nutrition, Métabolisme, Aquaculture (NuMéA), Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut NeuroMyoGène (INMG), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de Recherche en Cancérologie de Marseille (CRCM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU), Centre for Integrative Biology - CBI (Inserm U964 - CNRS UMR7104 - IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institute of genetics and molecular and cellular biology-Centre National de la Recherche Scientifique (CNRS), Chemistry, Oncogenesis, Stress and Signaling (COSS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-CRLCC Eugène Marquis (CRLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Necker Enfants-Malades (INEM - UM 111 (UMR 8253 / U1151)), Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte (M2iSH), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre de Recherche en Nutrition Humaine d'Auvergne (CRNH d'Auvergne)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Centre International de Recherche en Infectiologie - UMR (CIRI), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherches en Cancérologie de Toulouse (CRCT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] (BIO-PEROXIL), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de recherche sur l'Inflammation (CRI (UMR_S_1149 / ERL_8252 / U1149)), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de génétique et biologie des cancers (U830), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Optique et Biosciences (LOB), École polytechnique (X)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Différenciation et communication neuronale et neuroendocrine (DC2N), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Recherche en Cancérologie de Montpellier (IRCM - U1194 Inserm - UM), CRLCC Val d'Aurelle - Paul Lamarque-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie et imagerie des troubles neurologiques (PhIND), Université de Caen Normandie (UNICAEN), Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée (LBFA), Université Grenoble Alpes (UGA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Epithelial biology and disease - Liliane Bettencourt Chair of Developmental Biology (Equipe Inserm U1163), Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Biomécanique cellulaire et respiratoire (BCR), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Charles University [Prague]-Institut National de la Santé et de la Recherche Médicale (INSERM), This work was supported by the National Institute of General Medical Sciences [GM131919]., Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Marqueurs cardiovasculaires en situation de stress (MASCOT (UMR_S_942 / U942)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Université Sorbonne Paris Nord, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie des Adaptations Nutritionnelles (PhAN), Université de Nantes (UN)-Institut National de la Recherche Agronomique (INRA), Département Plateforme (PF I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut Gustave Roussy (IGR), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Chinese Academy of Medical Sciences [Suzhou, Chine] (CAMS), Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], Department of Women's and Children's Health [Stockholm, Sweden], Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École polytechnique (X), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, FHU OncoAge - Pathologies liées à l’âge [CHU Nice] (OncoAge), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Institut de Pharmacologie Moléculaire et Cellulaire [UNIV Côte d'Azur] (UPMC), Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), Life Sciences Institute [Ann Arbor, MI, USA], University of Michigan System-University of Michigan System, European Institute of Oncology IRCCS [Milan, Italy] (EIO), Ain Shams University (ASU), Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Réseau International des Instituts Pasteur (RIIP), Leibniz Institute of Plant Biochemistry (IPB), Hebrew University of Jerusalem, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Agro Dijon, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Oncogenesis, Stress, Signaling (OSS), Institut des Maladies Métaboliques et Casdiovasculaires (UPS/Inserm U1297 - I2MC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Charles University [Prague] (CU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Klionsky, D. 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Subjects
0301 basic medicine, Programmed cell death, Settore BIO/06, Autophagosome, Autolysosome, [SDV]Life Sciences [q-bio], lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Autophagy-Related Proteins, Review, Computational biology, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Biology, Settore MED/04, 03 medical and health sciences, stress, Chaperone-mediated autophagy, ddc:570, Autophagy, LC3, Animals, Humans, cancer, Settore BIO/10, flux, lysosome, macroautophagy, neurodegeneration, phagophore, vacuole, Set (psychology), Molecular Biology, 030102 biochemistry & molecular biology, business.industry, Interpretation (philosophy), Autophagosomes, Cell Biology, Multicellular organism, 030104 developmental biology, Knowledge base, Biological Assay, Lysosomes, business, Biomarkers, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.

Published
2021

32. Cardioversion in patients with newly diagnosed non-valvular atrial fibrillation: Observational study using prospectively collected registry data

Author

Pope, Marita Knudsen, Hall, Trygve S, Schirripa, Valentina, Radic, Petra, Virdone, Saverio, Pieper, Karen S, Le Heuzey, Jean-Yves, Jansky, Petr, Fitzmaurice, David A, Cappato, Riccardo, Atar, Dan, Camm, A John, Kakkar, Ajay K, Bassand, Jean-Pierre, Fox, Keith A A, Gersh, Bernard J, Goldhaber, Samuel Z, Goto, Shinya, Haas, Sylvia, Hacke, Werner, Mantovani, Lorenzo G, Misselwitz, Frank, Turpie, Alexander G G, van Eickels, Martin, Verheugt, Freek W A, Luciardi, Hector Lucas, Gibbs, Harry, Brodmann, Marianne, Cools, Frank, Barretto, Antonio Carlos Pereira, Connolly, Stuart J, Eikelboom, John, Corbalan, Ramon, Jing, Zhi-Cheng, Nielsen, Jørn Dalsgaard, Ragy, Hany, Raatikainen, Pekka, Darius, Harald, Keltai, Matyas, Sawhney, Jitendra Pal Singh, Agnelli, Giancarlo, Ambrosio, Giuseppe, Koretsune, Yukihiro, Sánchez Díaz, Carlos Jerjes, Ten Cate, Hugo, Stepinska, Janina, Panchenko, Elizaveta, Lim, Toon Wei, Jacobson, Barry, Oh, Seil, Viñolas, Xavier, Rosenqvist, Marten, Steffel, Jan, Angchaisuksiri, Pantep, Oto, Ali, Parkhomenko, Alex, Al Mahmeed, Wael, Hu, Dayi, Chen, Kangning, Zhao, Yusheng, Zhang, Huaiqin, Chen, Jiyan, Cao, Shiping, Wang, Daowen, Yang, Yuejin, Li, Weihua, Li, Hui, Yin, Yuehui, Tao, Guizhou, Yang, Ping, Chen, Yingmin, He, Shenghu, Wang, Yong, Fu, Guosheng, Li, Xin, Wu, Tongguo, Cheng, Xiaoshu, Yan, Xiaowei, Zhao, Ruiping, Chen, Moshui, Xiong, Longgen, Chen, Ping, Jiao, Yang, Guo, Ying, Xue, Li, Yang, Zhiming, Jadhavm, Praveen, Sarma, Raghava, Kulkarni, Govind, Chandwani, Prakash, Pothiwala, Rasesh Atulbhai, Purayil, Mohanan Padinhare, Chawla, Kamaldeep, Kothiwale, Veerappa Annasaheb, Raghuraman, Bagirath, Vijan, Vinod Madan, Sawhney, Jitendra, Bantwal, Ganapathi, Khan, Aziz, Meena, Ramdhan, Chopada, Manojkumar, Abraham, Sunitha, Bisne, Vikas, Vijayaraghavan, Govindan, Roy, Debabrata, Durgaprasad, Rajashekhar, Shankar, A G Ravi, Kumar, Sunil, Jain, Dinesh, Bhargava, Kartikeya, Kumar, Vinay, Nagamalesh, Udigala Madappa, Rajput, Rajeeve Kumar, Kanamori, Seishu, Yamamoto, Kenichi, Kumagai, Koichiro, Katsuda, Yosuke, Yoshida, Keiki, Toyota, Fumitoshi, Mizuno, Yuji, Misumi, Ikuo, Noguchi, Hiroo, Ando, Shinichi, Suetsugu, Tetsuro, Minamoto, Masahiro, Oda, Hiroyuki, Adachi, Susumu, Chiba, Kei, Norita, Hiroaki, Tsuruta, Makoto, Koyanagi, Takeshi, Yamamoto, Kunihiko, Ando, Hiroshi, Higashi, Takayuki, Okada, Megumi, Azakami, Shiro, Komaki, Shinichiro, Kumeda, Kenshi, Murayama, Takashi, Matsumura, Jun, Oba, Yurika, Sonoda, Ryuji, Goto, Kazuo, Minoda, Kotaro, Haraguchi, Yoshikuni, Suefuji, Hisakazu, Miyagi, Hiroo, Kato, Hitoshi, Nakamura, Tsugihiro, Nakamura, Tadashi, Nandate, Hidekazu, Zaitsu, Ryuji, Fujiura, Yoshihisa, Yoshimura, Akira, Numata, Hiroyuki, Ogawa, Jun, Kamogawa, Yasuyuki, Murakami, Kinshiro, Wakasa, Yutaka, Yamasawa, Masanori, Maekawa, Hiromitsu, Abe, Sumihisa, Kihara, Hajime, Tsunoda, Satoru, Saito, Katsumi, Tachibana, Hiroki, Oba, Ichiro, Kuwahata, Takashi, Higa, Satoshi, Gushiken, Masamichi, Eto, Takuma, Chibana, 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Mita, Teruaki, Nagao, Kazuhiko, Mito, Takafumi, Minami, Junichi, Abe, Mitsunori, Fujii, Masako, Okawa, Makoto, Fujito, Tsuneo, Taniguchi, Toshiya, Ko, Tenei, Kubo, Hiroshi, Imamaki, Mizuho, Akiyama, Masahiro, Ueda, Takashi, Odakura, Hironori, Inagaki, Masahiko, Katsube, Yoshiki, Nakata, Atsuyuki, Tomimoto, Shinobu, Shibuya, Mitsuhiro, Nakano, Masayuki, Ito, Kenichiro, Matsuta, Masahiro, Ishiguro, Motoyuki, Minagawa, Taro, Wada, Masamichi, Mukawa, Hiroaki, Mizuguchi, Masato, Okuda, Fumio, Kimura, Teruaki, Taga, Kuniaki, Techigawara, Masaaki, Igarashi, Morio, Watanabe, Hiroshi, Seo, Toshihiko, Hiramitsu, Shinya, Hosokawa, Hiroaki, Hoshiai, Mitsumoto, Hibino, Michitaka, Miyagawa, Koichi, Horie, Hideki, Sugishita, Nobuyoshi, Shiga, Yukio, Soma, Akira, Neya, Kazuo, Yoshida, Tetsuro, Akahane, Kunio, Adachi, Sen, Takanaka, Chiei, Matsui, Saori, Kanda, Hirofumi, Kaneko, Masanori, Nagasaka, Shiro, Taguchi, Atsushi, Toru, Shuta, Saito, Kazuyuki, Miyashita, Akiko, Sasaguri, Hiroki, Nariyama, Jin, Hatsuno, Taketo, Iwase, Takash, Sato, Kazuki, Kawai, Kazuya, Kotani, Tomobumi, Tsuji, Tsuyoshi, Sakai, Hirosumi, Nishino, Kiyoshi, Ikeda, Kenichi, Maeda, Kazuo, Shinozuka, Tomohiro, Inoue, Takeshi, Kawakami, Koichi, Kitazumi, Hiromichi, Takagi, Tsutomu, Hamaoka, Mamoru, Kojima, Jisho, Sasaki, Akitoshi, Tsuchiya, Yoshihiro, Betsuyaku, Tetsuo, Higuchi, Koji, Honda, Masaaki, Hasegawa, Koichi, Baba, Takao, Mineoi, Kazuaki, Koeda, Toshihiko, Hirasawa, Kunihiko, Kumazaki, Toshihide, Nakagomi, Akira, Otaki, Eiji, Shindo, Takashi, Hirayama, Hiroyoshi, Sugimoto, Chikako, Yamagishi, Takashi, Mizuguchi, Ichiro, Sezaki, Kazunori, Niwa, Isamu, Takenaka, Ken, Iiji, Osamu, Taya, Koichi, Kitazawa, Hitoshi, Ueda, Samu, Kakuda, Hirokazu, Ono, Takuya, Oriso, Seizo, Kamata, Junya, Nanke, Toshihiko, Maeda, Itaru, Matsuura, Yoshifusa, Teragawa, Hiroki, Maruyama, Yasuyuki, Takei, Kazuo, Horie, Hajime, Kito, Tetsutaro, Asano, Hiroshi, Matsushita, Koji, Nakamura, Masaichi, Washizuka, Takashi, Yoshida, Tomoki, Sawano, Masato, Arima, Shinichi, Arai, Hidekazu, Shinohara, Hisanori, Takai, Hiroyuki, Furukawa, Nobufusa, Ota, Akira, Yamamoto, Kentaro, Aoki, Kenji, Yamamoto, Taku, Kasai, Takeaki, Suzuki, Shunji, Suzuki, Shu, Shibata, Nitaro, Watanabe, Masayuki, Nishihata, Yosuke, Arino, Toru, Okuyama, Masaki, Wakiyama, Tetsushi, Kato, Tomoko, Sasagawa, Yasuo, Tana, Takeshi, Hayashi, Yoshihito, Hirota, Shinichi, Abe, Yukihiko, Saito, Yoshihiro, Uchiyama, Hirohide, Takeda, Hiroshi, Ono, Hiroshi, Tohyo, Shuichi, Hanazono, Naoto, Miyajima, Seiichi, Shimono, Hisashi, Aoyama, Takuma, Shozawa, Yasunobu, Niijima, Yawara, Murai, Osamu, Inaba, Hideko, Nomura, Katsumasa, Nozoe, Masatsugu, Suzuki, Kazuo, Furukawa, Toshiyuki, Shiraiwa, Toshihiko, Ito, Nobuhisa, Nagai, Shunichi, Sato, Kiyoharu, Nakahara, Shiro, Shimoyama, Yujin, Ohara, Naoko, Kozuka, Teruhiko, Okita, Hideaki, Endo, Masato, Goto, Tsutomu, Hirose, Makoto, Nagata, Emiko, Nakanishi, Noriyuki, Mori, Toshizumi, Seki, Shuichi, Okamoto, Katsuhiro, Moriai, Osamu, Emura, Yoko, Fukuda, Tsuyoshi, Date, Haruhiko, Kawakami, Shuichi, Nagai, Sho, Ueyama, Yuya, Fudo, Tetsuro, Imaizumi, Mitsuru, Ogawa, Takuo, Take, Shunsuke, Ikeda, Hideo, Nishioka, Hiroaki, Sakamoto, Norihiko, Ikeoka, Kiyomitsu, Wakaki, Nobuo, Abe, Masatake, Doiuchi, Junji, Kira, Tetsuya, Tada, Masato, Tsuzaki, Ken, Miura, Naoya, Fujisawa, Yasuaki, Furumoto, Wataru, Suzuki, Susumu, Fujisawa, Akinori, Nakamura, Ryosai, Komatsu, Hiroyasu, Fujiki, Rei, Kawano, Shuichi, Nishizawa, Keijiro, Kato, Yoji, Azuma, Junya, Yasui, Kiyoshi, Amano, Toshio, Sekine, Yasuhiro, Honzawa, Tatsuo, Koshibu, Yuichiro, Sakamoto, Yasuhide, Seta, Yukihiro, Miyaguchi, Shingo, Morishita, Kojuro, Samejima, Yasuko, Sasaki, Toyoshi, Iseki, Fumiko, Kobayashi, Toshiyuki, Kano, Hiroshi, Kim, Jaeyoung, Yamaguchi, Hiroshi, Takagi, Yoichi, Pearce, Yoko Onuki, Suzuki, Yasuyuki, Fukui, Takayuki, Nakayama, Toru, Kanai, Hideaki, Kawano, Yoshiyuki, Ino, Tetsuji, Miyoshi, Hironori, Miyamoto, Yasufumi, Shigekiyo, Masahito, Ono, Shimato, Okamoto, Yutaka, Ubukata, Satoshi, Kodera, Kojiro, Oriuchi, Tatsuo, Matsumoto, Naoki, Inagaki, Koichi, Iseki, Atsushi, Yoshida, Tomohiro, Goda, Toshihiro, Katsuki, Tsukasa, Sato, Atsushi, Mori, Etsuo, Tsubokura, Toshio, Shudo, Hiroshi, Fujimoto, Shunichi, Katsuya, Tomohiro, Furukawa, Yoshiyuki, Hosokawa, Hiroshi, Narumi, Jun, Yamamoto, Kiichiro, Owari, Masaki, Inakura, Takuya, Anno, Takafumi, Shirakawa, Kazuyuki, Ching, Chi Keong, Foo, David, Wong, Kelvin, Yuyang, Tan, Park, Hui Nam, Kim, Woo-Shik, Lee, HyeYoung, Jang, Sung-Won, Kim, Dae Hyeok, Kim, Jun, Ryu, DongRyeol, Shim, Jaemin, Kim, Dae-Kyeong, Choi, Dong Ju, Oh, Yong Seog, Cho, Myeong-Chan, Kim, Hack-Lyoung, Jeon, Hui-Kyung, Shin, Dong-Gu, Park, Sang Weon, Park, Hoon Ki, Han, Sang-Jin, Sung, Jung Hoon, Park, Hyung-Wook, Nam, Gi-Byoung, On, Young Keun, Lim, Hong Euy, Kwak, JaeJin, Cha, Tae-Joon, Hong, Taek Jong, Park, Seong Hoon, Yoon, Jung Han, Kim, Nam-Ho, Kim, Kee-Sik, Jung, Byung Chun, Hwang, 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Muñoz, Ernesto Cardona, Hernandez, Norberto Matadamas, Rendon, Adolfo Leyva, Hernandez, Norberto Garcia, de los Rios Ibarra, Manuel, Carrillo, Luis Ramon Virgen, Villezca, David Lopez, Herrera, Carlos Hernandez, Lopez Prieto, Juan Jose, Rodriguez, Rodolfo Gaona, Espinosa, Efrain Villeda, Martinez, David Flores, Barcena, Jose Velasco, Fierro, Omar Fierro, Briones, Ignacio Rodriguez, Leiva Pons, Jose Luis, Lopez, Humberto Alvarez, Ruiz, Rafael Olvera, Brito, Carlos Gerardo Cantu, Valenzuela, Eduardo Julian Jose Roberto Chuquiure, Sanchez, Roxana Reyes, Bazzoni Ruiz, Alberto Esteban, Lopez Ruiz, Oscar Martin, Nava, Roberto Arriaga, Morales Cerda, Jesus David, Campos, Pedro Fajardo, Gonzalez, Mario Benavides, Lenz, Kurt, Hagn, Claus, Foechterle, Johannes, Drexel, Heinz, Huber, Kurt, Podczeck-Schweighofer, Andrea, Winkler, Michael, Schneeweiss, Bruno, Gegenhuber, Alfons, Lang, Wilfried, Eichinger-Hasenauer, Sabine, Kaserer, Peter, Sykora, Josef, Rasch, Heribert, Strohmer, Bernhard, Capiau, 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Mertz, Jacob, Schou, Morten, Olsen, Michael, Airaksinen, K E Juhani, Paganelli, Franck, Ohayon, Joël, Casassus, Frédéric, Galinier, Michel, Gottwalles, Yannick, Loiselet, Philippe, Muller, Jean-Joseph, Koujan, Mohamed Bassel, Marquand, André, Destrac, Sylvain, Piot, Olivier, Delarche, Nicolas, Cebron, Jean-Pierre, Guenoun, Maxime, Guedj-Meynier, Dominique, Lokesh, A G, Zuber, Mathieu, Amarenco, Pierre, Ellie, Emmanuel, Kadouch, James, Fournier, Pierre-Yves, Huberman, Jean-Pierre, Lemaire, Nestor, Rodier, Gilles, Vandamme, Xavier, Sibon, Igor, Neau, Jean-Philippe, Mahagne, Marie Hélène, Mielot, Antoine, Bonnefoy, Marc, Churet, Jean-Baptiste, Navarre, Vincent, Sellem, Frederic, Monniot, Gilles, Boyes, Jean-Paul, Doucet, Bernard, Martelet, Michel, Obadia, Désiré, Crousillat, Bernard, Mouallem, Joseph, Bearez, Etienne, Brugnaux, Jean Philippe, Fedorowsky, Alain, Nazeyrollas, Pierre, Berneau, Jean-Baptiste, Chemin, Frédéric, Schellong, Sebastien, Koeniger, Georg, Kopf, Andreas, Gerbaulet, 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Barbarash, Olga, Miller, Olga, Mazur, Evgeniy, Zrazhevskiy, Konstantin, Novikova, Tatyana, Moiseeva, Yulia, Polkanova, Elena, Sobolev, Konstantin, Rossovskaya, Maria, Shapovalova, Yulia, Kolesnikova, Alla, Nikolaev, Konstantin, Zemlianskaia, Oksana, Zateyshchikova, Anna, Kostenko, Victor, Popov, Sergey, Poltavskaya, Maria, Edin, Anton, Aleksandrova, Elena, Drapkina, Oksana, Vishnevsky, Alexander, Nagibovich, Oleg, Chizhov, Petr, Rachkova, Svetlana, Sergeev, Mikhail, Kurylo, Borys, Ushakov, Alexey, Vinolas, Xavier, Garcia, Pere Alvarez, Lopez Fernandez, Maria Fernanda, Sanchez, Luis Tercedor, Iparraguirre, Salvador Tranche, Monserrat, Pere Toran, Contreras, Emilio Marquez, Rafecas, Jordi Isart, Carrasco, Juan Motero, Pavia, Pablo Garcia, Pajuelo, Casimiro Gomez, Rincon Diaz, Luis Miguel, Iglesias Alonso, Luis Fernando, Ruiz, Angel Grande, Klein, Jordi Merce, Gonzalez Juanatey, Jose Ramon, Collado, Ines Monte, Piquero, Herminia Palacin, Cuixart, Carles Brotons, Escobar, Esther Fernandez, Bayo i Llibre, Joan, Vicente, Cecilia Corros, Gutierrez, Manuel Vida, Gonzalo, Francisco Epelde, Almeida Fernandez, Carlos Alexandre, Navarro, Encarnacion Martinez, Alia, Juan Jose Montero, Gonzalez, Maria Barreda, Oliva, Maria Angels Moleiro, Sanmartin, Jose Iglesias, Gonzalez, Mercedes Jimenez, Alvarez, Maria del Mar Rodriguez, Melenchon, Juan Herreros, Vera, Tomas Ripoll, Navarro, Manuel Jimenez, Caamano, Maria Vazquez, Arcocha Torres, Maria Fe, Gomez, Gonzalo Marcos, Romo, Andres Iniguez, Prieto Diaz, Miguel Angel, Rosenqvist, Mårten, Wirdby, Alexander, Lindén, Jan, Henriksson, Kerstin, Elmersson, Micael, Egilsson, Arnor, Börjesson, Ulf, Svärd, Gunnar, Liu, Bo, Lindh, Anders, Olsson, Lars-Bertil, Gustavsson, Mikael, Andersson, Lars, Benson, Lars, Bothin, Claes, Hajimirsadeghi, Ali, Martinsson, Björn, Ericsson, Marianne, Ohlsson, Åke, Lindvall, Håkan, Svensson, Peter, Thörne, Katarina, Händel, Hans, Platonov, Pyotr, Bernsten, Fredrik, Timberg, Ingar, Crisby, Milita, Karlsson, Jan-Erik, Andersson, Agneta, Malmqvist, Lennart, Engdahl, Johan, Thulin, Jörgen, Hot-Bjelak, Aida, Jensen, Steen, Stalby, Per, Debrunner, Johann, Beer, Juerg H, Shah, Dipen, Rudyk, Iurii, Tseluyko, Vira, Karpenko, Oleksandr, Zhurba, Svitlana, Kraiz, Igor, Parkhomenko, Oleksandr, Kupnovytska, Iryna, Seredyuk, Nestor, Mostovoy, Yuriy, Ushakov, Oleksiy, Koval, Olena, Kovalskiy, Igor, Svyshchenko, Yevgeniya, Sychov, Oleg, Stanislavchuk, Mykola, Yagensky, Andriy, Tykhonova, Susanna, Fushtey, Ivan, Murdoch, Will, Chauhan, Naresh, Goodwin, Daryl, Lumley, Louise, Patel, Ramila, Saunders, Philip, Wong, Bennett, Cameron, Alex, Patel, Niranjan, Jhittay, P, Ross, Andrew, Kainth, M S, Ladha, Karim, Douglas, Kevin, Pickavance, Gill, McDonnell, Joanna, Handscombe, Laura, Gooding, Trevor, Wagner, Helga, Bradshaw, Colin, Bromham, Catherine, Jones, Kevin, Suryani, Shoeb, Coates, Richard, Sarai, Bhupinder, Willcock, W, Sircar, S, Cairns, John, Gilliand, A, Bilas, Roman, Strieder, E, Hutchinson, Peter, Wakeman, Anne, Stokes, Michael, Kirby, Graham, Vishwanathan, Bhaskhar, Bird, Nigel, Evans, Paul, Clark, M, Bisatt, John, Litchfield, Jennifer, Fisher, E, Fooks, Tim, Kelsall, Richard, Paul, Neil, Alborough, Elizabeth, Aziz, Michael, Ramesh, C, Wilson, Pete, Franklin, Simon, Fairhead, Sue, Thompson, Julian, Chowan, Hasan, Taylor, Gary, Tragen, Dawn, Parfitt, Matt, Seamark, Claire, Paul, Carolyn, Richardson, Mark, Jefferies, Angus, Sharp, Helen, Jones, Hywel, Giles, Claire, Bramley, Matthew, Williams, Philip, Aldegather, Jehad, Wetherell, Simon, Lumb, William, Evans, Phil, Scouller, Frances, Macey, Neil, Rogers, Stephen, Stipp, Yvette, West, Richard, Pinney, Philip, Wadeson, Paul, Matthews, John, Pandya, Preeti, Gallagher, Andrew, Railton, T, Davies, Emyr, McClure, Jonathan, Jacobs, Marc, Hutton, Claire, Thompson, R, Sinha, Bijoy, Butter, Keith, Barrow, Susan, Little, Helen, Russell, David, Choudhary, Ulka, Haq, Ikram, Ainsworth, Paul, Jones, Claire, Weeks, Phil, Eden, Jane, Gibbons, Lisa, Glencross, Janet, MacLeod, Alison, Poland, K, Mulolland, Conor, Warke, A, Conn, Paul, Burns, D, Smith, R, Kamath, R, Webster, Jonathan, Hodgins, Ian, Vercoe, Stephen, Roome, Paul, Pinnock, Hilary, Patel, Jayesh, Ali, Amar, Hart, Nigel, Davies, Richard, De-Sousa, Nigel, Neden, Catherine, Danielsen, Mark, Sharma, Purnima, Galloway, Sophia, Hawkins, Charlotte, Oliver, Raife, Aylward, Martin, Pattni, Mira, Irvine, Gordon, Ahmad, Shahid, Rothwell, Catherine, Choudhary, Fiaz, Khalaque, Sabrina, Short, Stephanie, Peters, Sharon, Coulson, Warwick, Roberts, Neil, Butler, Amy, Coates, Steven, Ward, Ben, Jackson, Daniel, Walton, Steve, Shepherd, Diane, Wong, Toh, Boon, Mark, Deacon, Melanie, Cornelius, David, Davies, Sarah, Frankel, Ben, Hargreaves, Nick, Choi, Henry, Sumner, Jon, Myhill, Tim, Estifanos, Salah, Geatch, Diane, Wilkinson, Justin, Veale, Richard, Forshaw, Karen, Hirst, Rob, Zaman, Kashif, Liley, Catherine, Wastling, Rebecca, McEleny, Paul, Beattie, Andre, Cooke, Philip, Wong, Mike, Pugsley, Mark, Dooldeniya, Chaminda, Rogers, Greg, Bennett, James, Jacobs, Polly, Muvva, Rajesh, Adam, Matthew, Fox, Robin, Thomas, Nicolas, Cartwright, Simon, Reed, Rory, Randfield, Simon, A’Court, Christine, Flynn, Ann, Halpin, Andrew, Dobson, Simon, Lomax, Louise, Nadaph, Minnal, Munro, Iain, Goram, Jane, Stoddart, Helen, Simmons, Phil, Shewring, John, Bowen-Simpkins, Emma, Rickenbach, Mark, Blenkhorn, Adam, Singh, Bhuwanendu, Astridge, Penny, van Gaal, William, Abhayaratna, Walter, Thomson, Philip, Lehman, Ron, Kilian, Jens, Coulshed, David, Catanchin, Andrei, Colquhoun, David, Kiat, Hosen, Eccleston, David, French, John, Ayres, Bronte, Blombery, Peter, Phan, Thanh, Rogers, James, O’Donnell, David, Bae, Sang Cheol, Carroll, Patrick, Starmer, Greg, Arstall, Margaret, Binnekamp, Maurits, Lee, Astin, Luton, Robert, Gupta, Milan, Pandey, Amritanshu Shekhar, Cheung, Stephen, Leader, Rolland, Beaudry, Philippe, Ayala-Paredes, Félix, Berlingieri, Joseph, Heath, John, Poirier, Germain, du Preez, Miranda, Schweitzer, Bradley, Nadeau, Reginald, Dhillon, Ripple, Hruczkowski, Tomasz, Lavoie, Andrea, Parkash, Ratika, Cha, James, Coutu, Benoit, MacDonald, Paul, Ramjattan, Brian, Bonet, Jorge, Vizel, Saul, Angaran, Paul, Fikry, Sameh, Mowafy, Ahmed, Katta, Azza, Tawfik, Mazen, Nawar, Moustafa, Sobhy, Mohamed, Abou Seif, Seif Kamal, Khairy, Tarek, El-Aziz, Ahmed Abd, Taha, Nasser, Reda, Ashraf, Elbahry, Atef, Setiha, Mohamed, El Din, Mohamed Gamal, Elkhadem, Magdi, El-Etreby, Adel, Kettles, David, Bayat, Junaid, Siebert, Heidi, Horak, Adrian, Kelfkens, Ynez, Garda, Riaz, Pillay, Thayabran, Guerra, Michele, van Zyl, Louis, Theron, Hendrik, Murray, Andrew, Louw, Rikus, Greyling, Deon, Mntla, Pindile, Ismail, Siddique, Ahmed, Fayzal, Engelbrecht, Johannes, Maharajh, Shambu, Oosthuysen, Wessel, Loghdey, Rehana, Ueckermann, Veronica, Al Naeemi, Abdullah, Yousef, Ghazi, Bazargani, Nooshin, AlOmairi, Munther, Maruthanayagam, Rajan, Singh, Rupesh, Naguib, Ahmed, Ibrahim, Mohamed, Agrawal, Amrish, Nathani, Mukesh, Esheiba, Ehab M, Wassef, Adel, Gupta, Rajeev, Cox, Michael, Beach, Scott, Duffy, Peter, Falkowski, Stephen, Ferrick, Kevin, Franco, Miguel, Kutayli, W Michael, Quick, Annette, Sharma, Niraj, Wilson, Vance, Miller, Stephen, Alberts, Mark, Blumberg, Edwin, Canosa, Roddy, Gutowski, Ted, Ison, Rodney, Garcia, Jorge, Mullen, Paul, Noveck, Howard, Rama, Pamela, Reddy, Rajneesh, Williams, Marcus, Nishijima, Daniel, Ferdinand, Keith, Haque, Ihsan, Mendelson, Robert, Pitta, Sridevi, Theodoro, Daniel, Treasure, Charles, Moustafa, Moustafa, Cader, Cas, Pharr, Walter, Oropallo, Alisha, Platt, George, Gujral, Jaspal, Welker, James, and Koura, Firas

Subjects
Male, medicine.medical_specialty, medicine.drug_class, medicine.medical_treatment, Electric Countershock, Therapeutics, Cardioversion, Lower risk, Cause of Death, Internal medicine, Atrial Fibrillation, medicine, Humans, Prospective Studies, Registries, Propensity Score, Stroke, Aged, Proportional Hazards Models, business.industry, Proportional hazards model, Research, Anticoagulant, Hazard ratio, Atrial fibrillation, General Medicine, Middle Aged, medicine.disease, Propensity score matching, Cardiology, Female, business, RC
Abstract

OBJECTIVE To investigate the clinical outcomes of patients who underwent cardioversion compared with those who did not have cardioverson in a large dataset of patients with recent onset non-valvular atrial fibrillation. DESIGN Observational study using prospectively collected registry data (Global Anticoagulant Registry in the FIELD-AF-GARFIELD-AF). SETTING 1317 participating sites in 35 countries. PARTICIPANTS 52 057 patients aged 18 years and older with newly diagnosed atrial fibrillation (up to six weeks' duration) and at least one investigator determined stroke risk factor. MAIN OUTCOME MEASURES Comparisons were made between patients who received cardioversion and those who had no cardioversion at baseline, and between patients who received direct current cardioversion and those who had pharmacological cardioversion. Overlap propensity weighting with Cox proportional hazards models was used to evaluate the effect of cardioversion on clinical endpoints (all cause mortality, non-haemorrhagic stroke or systemic embolism, and major bleeding), adjusting for baseline risk and patient selection. RESULTS 44 201 patients were included in the analysis comparing cardioversion and no cardioversion, and of these, 6595 (14.9%) underwent cardioversion at baseline. The propensity score weighted hazard ratio for all cause mortality in the cardioversion group was 0.74 (95% confidence interval 0.63 to 0.86) from baseline to one year follow-up and 0.77 (0.64 to 0.93) from one year to two year follow-up. Of the 6595 patients who had cardioversion at baseline, 299 had a follow-up cardioversion more than 48 days after enrolment. 7175 patients were assessed in the analysis comparing type of cardioversion: 2427 (33.8%) received pharmacological cardioversion and 4748 (66.2%) had direct current cardioversion. During one year follow-up, event rates (per 100 patient years) for all cause mortality in patients who received direct current and pharmacological cardioversion were 1.36 (1.13 to 1.64) and 1.70 (1.35 to 2.14), respectively. OBJECTIVE To investigate the clinical outcomes of patients who underwent cardioversion compared with those who did not have cardioverson in a large dataset of patients with recent onset non-valvular atrial fibrillation. DESIGN Observational study using prospectively collected registry data (Global Anticoagulant Registry in the FIELD-AF-GARFIELD-AF). SETTING 1317 participating sites in 35 countries. PARTICIPANTS 52 057 patients aged 18 years and older with newly diagnosed atrial fibrillation (up to six weeks' duration) and at least one investigator determined stroke risk factor. MAIN OUTCOME MEASURES Comparisons were made between patients who received cardioversion and those who had no cardioversion at baseline, and between patients who received direct current cardioversion and those who had pharmacological cardioversion. Overlap propensity weighting with Cox proportional hazards models was used to evaluate the effect of cardioversion on clinical endpoints (all cause mortality, non-haemorrhagic stroke or systemic embolism, and major bleeding), adjusting for baseline risk and patient selection. RESULTS 44 201 patients were included in the analysis comparing cardioversion and no cardioversion, and of these, 6595 (14.9%) underwent cardioversion at baseline. The propensity score weighted hazard ratio for all cause mortality in the cardioversion group was 0.74 (95% confidence interval 0.63 to 0.86) from baseline to one year follow-up and 0.77 (0.64 to 0.93) from one year to two year follow-up. Of the 6595 patients who had cardioversion at baseline, 299 had a follow-up cardioversion more than 48 days after enrolment. 7175 patients were assessed in the analysis comparing type of cardioversion: 2427 (33.8%) received pharmacological cardioversion and 4748 (66.2%) had direct current cardioversion. During one year follow-up, event rates (per 100 patient years) for all cause mortality in patients who received direct current and pharmacological cardioversion were 1.36 (1.13 to 1.64) and 1.70 (1.35 to 2.14), respectively. CONCLUSION In this large dataset of patients with recent onset non-valvular atrial fibrillation, a small proportion were treated with cardioversion. Direct current cardioversion was performed twice as often as pharmacological cardioversion, and there appeared to be no major difference in outcome events for these two cardioversion modalities. For the overall cardioversion group, after adjustments for confounders, a significantly lower risk of mortality was found in patients who received early cardioversion compared with those who did not receive early cardioversion. STUDY REGISTRATION ClinicalTrials.gov NCT01090362.

Published
2021

33. Smart Cities: Introducing Digital Innovation to Cities

Author

Kim, Joon Sik

Subjects
Smart Cities: Introducing Digital Innovation to Cities (Nonfiction work) -- Gassmann, Oliver -- Bohm, Jonas -- Palmie, Maximilian, Architecture and design industries, Business, Business, international
Abstract

Smart Cities: Introducing Digital Innovation to Cities, Oliver Gassmann, Jonas Bohm and Maximilian Palmie, Bingley, Emerald Publishing, 2019, 362pp., [pounds sterling]21.66, ISBN 9781787696143 For those with an academic stake in [...]

Published
2020

34. Support vector machines for default prediction of SMEs based on technology credit

Author

Kim, Hong Sik and Sohn, So Young

Subjects
Small and medium sized companies -- Analysis, Neural networks -- Analysis, Neural network, 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.2009.03.036 Byline: Hong Sik Kim, So Young Sohn Keywords: Support vector machines; Default prediction model; Small and medium enterprises Abstract: In Korea, many forms of credit guarantees have been issued to fund small and medium enterprises (SMEs) with a high degree of growth potential in technology. However, a high default rate among funded SMEs has been reported. In order to effectively manage such governmental funds, it is important to develop an accurate scoring model for selecting promising SMEs. This paper provides a support vector machines (SVM) model to predict the default of funded SMEs, considering various input variables such as financial ratios, economic indicators, and technology evaluation factors. The results show that the accuracy performance of the SVM model is better than that of back-propagation neural networks (BPNs) and logistic regression. It is expected that the proposed model can be applied to a wide range of technology evaluation and loan or investment decisions for technology-based SMEs. Author Affiliation: Department of Information and Industrial Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Republic of Korea Article History: Received 14 August 2008; Accepted 25 March 2009

Published
2010

35. Wealth distribution, inflation tax, and societal benefits of illiquid bonds

Author

Kim, Young Sik and Lee, Manjong

Subjects
Distribution (Economics) -- Taxation -- Evaluation, Inflation (Finance) -- Taxation -- United States, Wealth -- Taxation -- Evaluation, Banking, finance and accounting industries, Business, Taxation, Evaluation
Abstract

Illiquid nominal government bonds are shown to have two opposing effects on welfare. First, the relatively poor choose to top-up money balances for future consumption by purchasing nominal bonds at a discount. The wealth distribution becomes more centered with a smaller consumption deviation from the first best, Second, the higher inflation tax on monetary wealth to finance interest payments makes money less valuable, so that the quantity of output produced in exchange for money decreases. The trade-off between the welfare-enhancing effect on wealth distribution and the distortionary effect on output implies the socially optimal discount rate and liquidity. Keywords: fiat money, illiquid bond, coexistence, matching model., IN HIS FAMOUS PAPER, Hicks (1935) noted the coexistence of money and assets with higher returns as the greatest challenge facing monetary theory. Since then there have been two streams [...]

Published
2009

36. Cost of ownership model for the RFID logistics system applicable to u-city

Author

Kim, Hong Sik and Sohn, So Young

Subjects
Radio frequency identification (RFID), Radio frequency identification, 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.2007.12.015 Byline: Hong Sik Kim, So Young Sohn Keywords: Ubiquitous city (u-city) logistics; Radio frequency identification (RFID); Cost of ownership (COO) Abstract: Currently, popular areas of radio frequency identification (RFID) application include the domain of ubiquitous city (u-city), which would require very high initial infrastructure cost. This study proposes a cost of ownership (COO) model for RFID logistics system applicable to u-city in order to support the decision making process of infrastructure construction. We apply the proposed model to a case of RFID logistics system by establishing potential scenarios. The expected profit from the construction of RFID logistics system is evaluated for each scenario. We also conduct a sensitivity analysis to consider the effect of various parameter settings. This study is expected to help companies in selecting the most beneficial and most profitable RFID logistics system. Author Affiliation: Department of Information and Industrial Engineering, Yonsei University, Shinchon-dong 134, Seoul 120-749, Republic of Korea Article History: Received 1 February 2007; Accepted 10 December 2007

Published
2009

37. An efficient FDTD model for resistively loaded cylindrical antennas with coaxial lines

Author

Hyun, Seung-Yeup, Kim, Se-Yun, and Kim, Young-Sik

Subjects
Antennas (Electronics) -- Analysis, Coaxial cables -- Analysis, Business, Computers, Electronics, Electronics and electrical industries
Abstract

A full coarse-grid based finite-difference time-domain (FDTD) model is proposed for an efficient analysis of resistively loaded cylindrical antennas driven by coaxial feed lines. In the case of the electrically thin resistive antenna, the thin-wire approximation is applied to the near fields around the antenna. The resistive antenna is equivalently represented by a series connection of piecewisely lumped resistors along the antenna axis. And the coaxial line is replaced by an equivalent source over the feed aperture of the line. Then the corresponding FDTD update equations make it possible to implement the full coarse-grid model without additional grid refinements for the antenna and the feed line. The transient reflected feed voltage and the input impedance of resistive antennas are calculated numerically and compared with those of a full fine-grid. Index Terms--Coaxial transmission lines, cylindrical antennas, finite-difference time-domain (FDTD) methods, loaded antennas.

Published
2009

38. An equivalent feed model for the FDTD analysis of antennas driven through a ground plane by coaxial lines

Author

Hyun, Seung-Yeup, Kim, Se-Yun, and Kim, Young-Sik

Subjects
Antennas (Electronics) -- Models, Approximation theory -- Methods, Time-domain analysis -- Methods, Business, Computers, Electronics, Electronics and electrical industries
Abstract

For the finite-difference time-domain (FDTD) analysis of antennas excited by coaxial lines, an equivalent model of the antenna feed is presented here. Under the quasi-static approximation, the coaxial aperture is simply represented as the equivalent magnetic-frill current and the equivalent load circuit including the effects of the coaxial line. It leads us to a simple modification of the standard FDTD update equation at the aperture without any additional cell modeling of the line. The validity of the proposed model is confirmed by comparing of the FDTD results and the measured data. Index Terms--Antenna feed, equivalent feed model, finite-difference time-domain (FDTD), magnetic-frill current.

Published
2009

39. A discrete-time modified sliding mode proximate time-optimal servomechanism for scanning-probe-microscope-based data storage

Author

Jeong, Ji Young, Lee, Choong Woo, Chung, Chung Choo, and Kim, Young-Sik

Subjects
Information storage and retrieval -- Analysis, Servomechanisms -- Analysis, Discrete-time systems -- Usage, Business, Electronics, Electronics and electrical industries
Abstract

In this paper, we present a discrete-time modified sliding mode proximate time-optimal servomechanism (MSMPTOS) applied to scanning probe microscope (SPM)-based data storage (SDS) systems. Three conditions on the global asymptotic stability are introduced. Time-varying sliding mode with variable convergence rate factor is used to eliminate the overshoot problem and reduce the settling time compared to the conventional sliding mode proximate time-optimal servomechanism (SMPTOS). For long track seek, its trajectory is bounded by a velocity profile that is close to time-optimal velocity profile. Its settling performance is hardly affected by seek distance whereas reducing seek time. We have obtained improved seek performance over SMPTOS for short and long seeks. Its effectiveness is verified with simulation results. Index Terms--Atomic force microscopy, discrete-time systems, proximate time-optimal servomechanism (PTOS), variable structure systems.

Published
2008

40. Measurement of two-dimensional photon beam distributions using a fiber-optic radiation sensor for small field radiation therapy

Author

Lee, Bongsoo, Jang, Kyoung Won, Cho, Dong Hyun, Yoo, Wook Jae, Shin, Sang Hun, Kim, Hyung Sik, Yi, Jeong Han, Kim, Sin, Cho, Hyosung, Park, Byung Gi, Moon, Joo Hyun, and Kim, Siyong

Subjects
Radiotherapy -- Methods, Radiation dosimetry -- Methods, Photon beams -- Properties, Fiber optics -- Research, Fiber optics, Business, Electronics, Electronics and electrical industries
Abstract

In this study, we fabricated a fiber-optic radiation sensor with an organic scintillator to measure the high-energy photon beam from a clinical linear accelerator, and a two-dimensional fiber-optic sensor array to measure high-resolution and real-time dose distributions for small field radiotherapy dosimetry. The scintillating lights generated from each organic sensor probe embedded and arrayed in a water phantom are guided by 10 m plastic optical fibers to the fight-measuring device. Two-dimensional photon beam distributions in a water phantom were measured for photon beams with different energies and field sizes. Also, percent depth dose curves for 6 and 15 MV photon beams were obtained. Index Terms--Fiber-optic sensor, organic scintillator, photon beam, plastic optical fiber.

Published
2008

41. A novel single-feed circular microstrip antenna with reconfigurable polarization capability

Author

Kim, Boyon, Pan, Bo, Nikolaou, Symeon, Kim, Young-Sik, Papapolymerou, John, and Tentzeris, Manos M.

Subjects
Microwave antennas -- Design and construction, Bandwidth -- Measurement, Impedance (Electricity) -- Control, Electromagnetic waves -- Polarization, Electromagnetic waves -- Observations, Bandwidth allocation, Bandwidth technology, Business, Computers, Electronics, Electronics and electrical industries
Abstract

A single-feed circular microstrip antenna with reconfigurable polarization capability is proposed. This antenna has a simple structure, which consists of a radiating circular patch, five switches (PIN diode), three matching stubs, and a 50 [omega] microstrip feed line. It can be switched between 4 different states: two states (low-frequency and high-frequency) for linear polarization (LP), one state for left hand circular polarization (LHCP) and one for right hand circular polarization (RHCP) by controlling the bias voltage of two PIN diodes. At the same time, three switchable matching stubs are used for matching every polarization state. Simulation results and experimental results show that the proposed antenna demonstrates a low cross polarization level, good impedance bandwidth, and a very good axial ratio in the circularly polarized states. Index Terms--Circular polarization, linear polarization, microstrip antenna, PIN diode, reconfigurable polarization.

Published
2008

42. Random effects logistic regression model for default prediction of technology credit guarantee fund

Author

Sohn, So Young and Kim, Hong Sik

Subjects
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.2006.10.006 Byline: So Young Sohn, Hong Sik Kim Keywords: Random effects; Default prediction model; Small and medium enterprises Abstract: Korean government has been funding the small and medium enterprises (SME) with superior technology based on scorecard. However high default rate of funded SMEs has been reported. In order to effectively manage such governmental fund, it is important to develop accurate scoring model for SMEs. In this paper, we provide a random effects logistic regression model to predict the default of funded SMEs based on both financial and non-financial factors. Advantage of such a random effects model lies in the ability of accommodating not only the individual characteristics of each SME but also the uncertainty that cannot be explained by such individual factors. It is expected that our study can contribute to effective management of government funds by proposing the prediction models for defaults of funded SMEs. Author Affiliation: Department of Computer Science & Industrial Systems Engineering, Yonsei University, 134 Shinchon-dong, Seoul 120-749, Republic of Korea Article History: Received 11 January 2006; Accepted 24 October 2006

Published
2007

44. Relationship of Metabolic Diseases with Physical Activity Depending on Age

Author

Lee Mi-Na, Mun Ji-Young, Sull Jae-Woong, Lee Ji-Young, Park Beom-Seok, Lee Yoo-Ri, Hong Min-Hwa, Hwang Min-Ji, Lim Hyo-Kyung, and Kim In-Sik

Subjects
03 medical and health sciences, medicine.medical_specialty, 0302 clinical medicine, Endocrinology, business.industry, Internal medicine, Physical activity, Medicine, 030212 general & internal medicine, 030204 cardiovascular system & hematology, Metabolic disease, business
Abstract

본 연구의 목적은 2014년 조사되어진 제 6기 2차 국민건강영양조사 자료를 바탕으로 연령별 신체활동에 따른 대사성질환과의 관계를 파악하여 연령별 신체활동에 따른 대사성질환과의 관련성을 규명하여 예방적 기초자료를 제공하기 위한 연구이다. 본 연구는 제 6기 2차(2014) 국민건강영양조사의 자료를 이용하여 수행되...

Published
2018

46. A control power module for a hybrid inverter systems to drive electric propulsion ships

Author

Tae-Hyun Song, Choi Jung Leyl, Lee，Sung-geun, Kim Yoon Sik, and Kim Min-gwon

Subjects
Physics, Electrically powered spacecraft propulsion, Control power, business.industry, Electrical engineering, Inverter, business
Abstract

갈수록 심화되는 환경문제에 대한 대책 방안으로 대기 오염물질 배출 저감을 위한 전기추진 선박 기술의 발전이 대두되고 있으며, 이러한 기술을 활용한 선박으로는 하이브리드 전기추진선박(Hybrid electric propulsion ship)이 있다. 하이브리드 전기추진선박은 발전기를 이용하여 생산된 전력과 배터리에 저장된 전력을 병용하여 인버터에 공급하며, 인버터에서는 교류전압으로 변환되어 선박추진기를 구동하기 위한 교류전동기에 공급하게 된다. 이러한 하이브리드 전기추진 인버터시스템은 배터리, 인버터, 교류전동기가 인과적인 관계로 접속이 되어 있어 어느 하나의 시스템에 문제가 발생하면 전체 시스템의 운전이 불가능하게 된다. 따라서 이러한 하이브리드 전기추진시스템은 실시간으로 각 요소별 상태점검이 필요하며, 동시에 현장과 원거리에서 모니터링이 가능해야 한다. 배터리는 운전시간에 따라서 배터리 내부의 물리적 특성 변화에 따라 수명을 예측할 수 있는 내부저항이 변하므로 이 저항의 측정에 의해 사전에 배터리 교환시기를 예측할 수가 있다. 또한 인버터는 직류를 교류로 변화시키기 위한 PWM 펄스의 듀티비에 의해 출력전압의 조정이 가능하며, 따라서 항시 요소시스템과 전체시스템의 관찰이 이루어져야 한다. 본 논문에서는 하이브리드 전기추진시스템의 상태(배터리 내부저항, 인버터 출력 전압, 전류 및 역률)를 점검하여 모니터링하고, 1개의 배터리가 고장 나 인버터에 낮은 전압이 공급될 경우에 인버터의 PWM 듀티비를 조정하여 출력전압을 일정하게 조정할 수 있는 파워모듈을 구현하고자 한다.

Published
2018

47. Endocervical Adenocarcinoma In Situ Phenotype with Ovarian Metastasis

Author

Kim, Hyun-Soo, Chung, Yeon Seung, Kim, Moon Sik, Ryu, Hyang Joo, and Lee, Ji Hee

Subjects
In situ, Endocervical Adenocarcinoma, Histology, Ovarian metastasis, business.industry, Brief Case Report, lcsh:Pathology, Cancer research, Medicine, business, Phenotype, lcsh:RB1-214, Pathology and Forensic Medicine
Published
2019

50. Design of a superparaboloidal solid immersion mirror for optomechatronic near-field recording

Author

Kim, Young-Sik, Lee, Seung-Jae, Park, No-Cheol, and Park, Young-Pil

Subjects
Optical storage devices -- Research, Business, Computers, Electronics, Electronics and electrical industries
Abstract

We designed a superparaboloidal solid immersion mirror (SP-SIM) using a tilted parabolic mirror that applied total internal reflection to an optical flying head for near-field recording. As an SP-SIM does not need an objective lens or folding mirror, the height and weight of the optical flying head can be reduced. Using theoretical ray tracing, we found the optimal parameters for rotational symmetric beam intensity on a high-numerical-aperture (NA) focus. The effective NA of the SP-SIM was 1.32 for both the sagittal and meridional focuses. A 408-nm laser source and high refractive index material, NbFD13, was used for the simulation. The minimum spot sizes at full width [1/e.sup.2] intensity were 237 and 232 nm in the sagittal and meridional directions, respectively, at normal incidence. The size of the beam spot was kept nearly uniform within a maximum 5% deviation as the field angle changed within [+ or -] 0.15[degrees]. The SP-SIM measured 0.83 mm x 0.95 mm x 0.27 mm (W x L x H) and weighed ca. 0.6 mg. Index Terms--Near-field recording, optical data storage, optical flying head, solid immersion mirror.

Published
2005

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