952 results on '"Rastegar A"'
Search Results
2. Outcomes Over Follow-up ≥10 Years After Surgical Myectomy for Symptomatic Obstructive Hypertrophic Cardiomyopathy
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Barry J. Maron, Philip Carpino, Ethan J. Rowin, Noreen Dolan, Hassan Rastegar, Benjamin Koethe, and Martin S. Maron
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Adult ,Male ,medicine.medical_specialty ,Mitral Valve Annuloplasty ,Population ,Ventricular Septum ,Ventricular tachycardia ,Sudden death ,Ventricular Outflow Obstruction ,Refractory ,Internal medicine ,medicine ,Humans ,education ,Aged ,Proportional Hazards Models ,education.field_of_study ,business.industry ,Mitral Valve Insufficiency ,Stroke Volume ,Cardiomyopathy, Hypertrophic ,Middle Aged ,medicine.disease ,Confidence interval ,Septal myectomy ,Treatment Outcome ,Heart failure ,Ventricular fibrillation ,Cardiology ,Female ,Cardiology and Cardiovascular Medicine ,business ,Follow-Up Studies - Abstract
For over 50 years, surgical septal myectomy has been the preferred treatment for drug-refractory heart failure symptoms in obstructive hypertrophic cardiomyopathy (HCM). However, given the relatively youthful adult ages at which HCM surgery is usually performed, it is informative to evaluate longer-term results of myectomy after ≥10 years. We identified 139 consecutive obstructive HCM patients (50 ± 15 years of age; 55% men) who underwent surgical myectomy, 2003 to 2010 at Tufts HCM Center and followed 11.3 ± 2.7 years (range to 17). Operative mortality was low (0.6%) and left ventricular (LV) outflow gradients at rest were reduced from 56 ± 40 mm Hg preoperatively to 1 ± 7 mm Hg postoperatively, durable over the study period, with no patient requiring reoperation for the residual gradient. Over follow-up, 129 of 139 patients (93%) were alive ≥10 years after myectomy, including 17 patients ≥15 years. Of 118 patients with complete long-term clinical follow-up data, 109 (92%) experienced clinical improvement to New York Heart Association classes I or II. In 9 patients (8%) refractory class III/IV symptoms reoccurred 6.6 ± 3.9 years postoperatively, including 4 who ultimately underwent a heart transplant. After myectomy, there were 2 late HCM-related deaths, but none suddenly; notably 6 patients (12%) with prophylactic implantable cardioverter-defibrillators experienced appropriate therapy terminating ventricular tachycardia/ventricular fibrillation after myectomy. Survival following myectomy was 91% at 10 years (95% confidence interval: 85, 96%) not different from the age- and gender-matched general United States population (log-rank p = 0.64). In conclusion, myectomy provides permanent abolition of outflow gradients with reversal of heart failure and highly favorable long-term survival, representing a low-risk:high-benefit option when performed in experienced HCM centers. Myectomy did not protect absolutely against arrhythmic sudden death events, underscoring the importance of risk stratification in operative patients.
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- 2022
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3. Cu2ZnSnS4 as a hole-transport layer in triple-cation perovskite solar cells: Current density versus layer thickness
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Maryam Heidariramsheh, Reza Rasuli, Nima Taghavinia, Zahra Rastegar Moghadamgohari, and Raheleh Mohammadpour
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Materials science ,business.industry ,Process Chemistry and Technology ,Halide ,Electrochemistry ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,chemistry.chemical_compound ,chemistry ,Materials Chemistry ,Ceramics and Composites ,Optoelectronics ,Direct and indirect band gaps ,CZTS ,business ,Current density ,Electrical impedance ,Layer (electronics) ,Perovskite (structure) - Abstract
Cu2ZnSnS4 (CZTS) is a good candidate for cost-effective perovskite solar cells (PSCs) due to its direct bandgap with a value of 1.4–1.5 eV. In this study, we investigate CZTS ink as an inorganic hole-transport-layer (HTL) in CsMAFAPbIBr mixed halide PSCs. We study the cell efficiency and hole extraction from the perovskite layer for different thicknesses of HTL. The optimized device exhibits better hole selectivity, and the best efficiency of the device (12.84%) is achieved for the CZTS layer with a thickness of 159 nm. The prepared samples were also tested by open-circuit voltage decay analysis and electrochemical impedance spectroscopies. Results show that the optimized device effectively prohibits the electrons-holes recombination with a charge transfer resistance of 9.38 Ω cm2. This work suggests that the optimal thickness of CZTS as an HTL in triple-cation PSC is about 159 nm by giving short-circuit current density of 23.69 mA cm−2.
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- 2022
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4. Clinical and Molecular Spectrum of Muscular Dystrophies (MDs) with Intellectual Disability (ID): a Comprehensive Overview
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Malihe Mohamadian, Ata Ghadiri, Mandana Rastegar, Pegah Ghandil, Mohsen Naseri, and Negin Pasamanesh
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medicine.medical_specialty ,Neurology ,business.industry ,Brain ,Skeletal muscle ,Molecular evidence ,General Medicine ,medicine.disease ,Bioinformatics ,Muscular Dystrophy, Duchenne ,Cellular and Molecular Neuroscience ,medicine.anatomical_structure ,Muscular Dystrophies, Limb-Girdle ,Intellectual Disability ,Intellectual disability ,Quality of Life ,Humans ,Medicine ,Neurochemistry ,Muscular dystrophy ,Muscle, Skeletal ,business - Abstract
Muscular dystrophies encompass a wide and heterogeneous subset of hereditary myopathies that manifest by the structural or functional abnormalities in the skeletal muscle. Some pathogenic mutations induce a dysfunction or loss of proteins that are critical for the stability of muscle cells, leading to progressive muscle degradation and weakening. Several studies have well-established cognitive deficits in muscular dystrophies which are mainly due to the disruption of brain-specific expression of affected muscle proteins. We provide a comprehensive overview of the types of muscular dystrophies that are accompanied by intellectual disability by detailed consulting of the main libraries. The current paper focuses on the clinical and molecular evidence about Duchenne, congenital, limb-girdle, and facioscapulohumeral muscular dystrophies as well as myotonic dystrophies. Because these syndromes impose a heavy burden of psychological and financial problems on patients, their families, and the health care community, a thorough examination is necessary to perform timely psychological and medical interventions and thus improve the quality of life.
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- 2021
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5. Effect of Deep Brain Stimulation on Parkinson’s Disease Dementia: A Systematic Review and Meta-Analysis
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Ali Razmkon, Parham Eskandarzadeh, AmirAli Rastegar Kazerooni, Saeed Abdollahifard, Hirad Rezaei, Pain, Shiraz, Iran., and Amir Reza Bahadori
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medicine.medical_specialty ,Parkinson's disease ,Deep brain stimulation ,business.industry ,medicine.medical_treatment ,medicine.disease ,nervous system diseases ,Cellular and Molecular Neuroscience ,surgical procedures, operative ,Physical medicine and rehabilitation ,Meta-analysis ,medicine ,Dementia ,Neurology (clinical) ,business - Abstract
Patients in the early stages of Parkinson’s disease(PD) may have subtle cognitive deficits, while overt cognitive deficits are usually manifestations of late-stage PD. There is still a debate on the outcome of deep brain stimulation (DBS) on cognitive function of PD patients. This study aimed to investigate the effect of subthalamic nucleus(STN)-DBS on dementia of PD patients after surgery as compared to medical therapy and other procedures. We searched PubMed, Scopus, Cochrane library and Web of Science database in 22th October 2020. The words Deep Brain stimulation, Parkinson’s disease, dementia, and memory have been searched. Reviews, abstracts, case presentations and letters were excluded. Totally, 490 studies were screened after removing the duplicates. The screening results yielded 81 articles to be screened for eligibility. Finally, 6 studies were included in this meta-analysis for synthesis. Overall, 800 patients were included in this meta-analysis, using Mattis dementia rating scale (MDRS) along with descriptive data of the articles was extracted for assessment of global dementia. Our results indicated that STN-DBS group showed a larger cognitive decline than the best medical treatment(BMT). DBS diminished the score of Mattis dementia rating scale in PD patients more than BMT. The effect of STN-DBS vs. other procedures on dementia was not significant; our results showed that STN stimulation made no significant change in global dementia of PD patients in midterm compared to GPi, Pallidal stimulation and pallidotomy.
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- 2021
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6. Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study
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Labeau, Sonia O, Afonso, Elsa, Benbenishty, Julie, Blackwood, Bronagh, Boulanger, Carole, Brett, Stephen J, Calvino-Gunther, Silvia, Chaboyer, Wendy, Coyer, Fiona, Deschepper, Mieke, François, Guy, Honore, Patrick M, Jankovic, Radmilo, Khanna, Ashish K, Llaurado-Serra, Mireia, Lin, Frances, Rose, Louise, Rubulotta, Francesca, Saager, Leif, Williams, Ged, Blot, Stijn I, Dritan, Muzha, Antoni Margarit Ribas, Fernando, Lipovesty, Cecilia, Loudet, Fiona, Coyer, Philipp, Eller, Nafseen, Mostafa, Patrick, M Honoré, Vanesa Mercado Telleria, Jasmina, Smajic, Paula Cristina Nogueira, Khalid Mahmood Khan Nafees, Romuald, Hentchoya, Louise, Rose, Javiera, Soledad, Frances, Lin, Yenny, Cardenas, Amylkar Garay Reyes, Alan, Sustic, Meropi, Mpouzika, Tamas, Vymazal, Hanne Irene Jensen, Hernan, Aguirre-Bermeo, Liivi, Maddison, Maija, Valta, Silvia, Calvino-Gunther, Frank, Bloos, Faustina Excel Adipa, Vasilios, Koulouras, Judy, Enamorado, Zsuzsann, Ágoston, Hrönn, Birgisdóttir, Amit, Gupta, Mohan, Gurjar, Bram, Kilapong, Seyed Mohammadreza Hashemian, Ignacio, Martin-Loeches, Julie, Benbenishty, Andrea, Cortegiani, Kelly, Fletcher, Yoshiro, Hayashi, Wangari, Waweru-Siika, Khalid, Abidi, Sang-Min, Lee, Burhan, Hadri, Mihails, Dolgusevs, Fayez François Abillama, Tomas, Jovaisa, Cyril, Thix, Muhammed, Elhadi, Basri Mat Nor, Shanti, Ratnam, Mohd Zulfakar Mazlan, Sundaresan, Maiyalagan, Luis, Sánchez-Hurtado, Adrian, Belii, Mendsaikhan, Naranpurev, Prabha, Gautam, Dylan De Lange, Rachael, Parke, Rose Ekama Ilesanmi, Mirjana, Shosholcheva, Antonija, Petosic, Ranveig, Lind, Madiha Hashmi Ffarcsi, Javier, Bogarin, Aaron Mark Hernandez, Malgorzata, Mikaszewska-Sokolewicz, Bruno, Sousa, Dana, Tomescu, Dorel, Sandesc, Theogene, Twagirumugabe, Vitaly, Gusarov, Maie, Ebaid, Radmilo, Jankovic, Gari, Slobodianiuk, Andrea, Martonova, Rihard, Knafelj, Mervyn, Mer, Emilio, Maseda, Bernardo, Panka, Joerg, C Schefold, Eva, Joelsson-Alm, Konlawij, Trongtrakul, Lorna, Merritt-Charles, Lamia Ouanes Besbes, Yalım, Dikmen, Lesia, Zgrzheblovska, Mark, Fielding, Francesca, Rubulotta, Ashish, K Khanna, Leif, Saager, Ingrid von der Osten, Alban, Greca, Alma, Cani, Nordian, Xhindi, Genci, Hyska, Antonio Margarit Ribas, Susana, Pinto, Paulo, Alves, Romina, Esposito, Emanuel, Valgolio, John Thomas Sanchez Minope, Antonio, Abdala, Maria, Ayala, Silvina, Bravo, Ana, Bantar, Patricia, Delgado, Gustavo, Badariotti, Fernando, Lipovestky, Ana, Diaz, Pablo, Saul, Mariano, Setten, Alejandra, Aucapina, Ysica, Acosta, Victor, Gonzalez, Luis, Camputaro, Fernando, Baccaro, Robert, Villa, Marcela, Mastantuono, Emiliano, Dean, Oscar Fernández Rostello, Patricia, Brizuela, Julio Ricardo Bartoli, Matias, Guereschi, Cristian, Quiroga, Sofia, Putruele, Paula, Villegas, Veronica, Curilen, Ruben, Fernandez, Mariangeles Gabriela Nocheretti, Rosana Gabriela Escalante, Cecilia Inés Loudet, Silvia, Fernandez, Ana Laura Gonzalez, Gustavo Andres Alvarez, Federico, Iglesias, Silvia, Chaparro, Graciela, Zakalik, Gonzalo, Pagella, Matías, Baini, Pierina Arias Campos, Ignacio, Sabbag, Armando, Schmukler, Imelda Perdomo Fonseca, Gonzalo Martín Alvarez, Mario, Ramirez, Fernando, Tapia, Carlos Alejandro Bascary, Graciela Del Valle Gimenez, Fernando Pablo Bertoletti, Esteban, Milioto, Pablo Julio Maldonaldo Bonsignore, Maria Alejandra Fernandez, Julie, Smith, Tim, Chimunda, Lorraine, Thompson, Teena, Maguire, Wendy, Chaboyer, Stacey, Watts, Marion, Mitchell, Madeleine, Powell, India, Lye, Leanne, Parsons, Nerilee, Baker, Claire, Reynolds, Amy, Thompson, Kristy, Masters, Kellie, Sosnowski, Lynette, Morrison, Gavin, D Leslie, Ramanathan, Lakshmanan, Alexis, Tabah, Wendy, Brown, Sharon, McDowell-Skaines, Andrea, Mclucas, Chris, Smith, Mandy, Tallot, Sarah, Jones, Michelle, Barakat-Johnson, Thomas, Leong, Rand, Butcher, Kerrie, Martin, Philipp, Douschan, Dirk von Lewinski, René, Schmutz, Uta, Kolussi, Fatema, Salman, Zainab, Ateya, Koen De Decker, Niels Van Regenmortel, Anita, Jans, Patricia, Wijnands, Stefano, Coremans, Patrick, M Honore, David De Bels, Tanja, Depuydt, Caroline, Paillet, Luc-Marie, Jacquet, Walter, Swinnen, Francis, Hannes, Matthia, Mergeay, Stijn Van de Velde, Silvie, Allaert, Pieter, Hoste, Christophe, Borin, Sandrine, Balon, Vincent, Fraipont, Patrick, Biston, Nicolas De Schryver, Thierry, Dugernier, Ilse Van Cotthem, Angelica Olivetto de Almeida, Silvia Angelica Jorge, Delmiro, Becker, Raysa Cristina Schmidt, Evellyn, Oliveira, Aline, Ramalho, Eliane, Mazocoli, Audrey, Fioretti, Elaine, Barros, Leticia, Serpa, Suzana, Bianchini, Ticiane, Campanili, Taís, Pantaleao, Paulo Carlos Garcia, Ana Lucia Vitti Ronchini, Rayanne, Santos, Nurulhuda Binti, A Manap, Sean, Bagshaw, Dominic, Carney, Jon, Davidow, Ella, Rokosh, Andréa Maria Laizner, Samantha, Smith, Megan, Mcquirter, Betty Star Kampayana, René, Favre, Martin, Sills, Julie, Dallaire, Cathy, Becker, Sherissa, Microys, Bonnie, Bowes, Jennifer, Lajeunesse, Rishi, Ghosh, Jacqueline, Baptiste-Savoie, Rose, Raizman, Gabriel, Suen, Noushin, Taghavi, Orla, Smith, Clare, Fielding, Julieta, Canales, Pia, Molina, Javiera, Chaparro, Maria Idalia Sepulveda, Matias Jesús Flamm Zamorano, Pamela, Rocha, Ximena, Villanueva, Paola, Araya, Meneses, Dayan, Fernando, Avalos, Xiaohan, Li, Liu, Yu, Xinxia, Li, Xiaoyan, Chen, Zhixia, Jiang, Jing, Yang, Jingfang, Chen, Lei, Yang, Kefang, Wang, Jie, Gao, Xiuhua, Fang, Ronghua, Zhao, Xinhua, Xia, Hongmei, Liu, Jing, Li, Haiyan, Wang, Gen, Meng, Yanhong, Di, Damei, Wang, Rong Hua Zhao, Li Ping Hu, Peipei, Xu, Qing Feng Jiao, Hai Yun Wang, Chun Jie Xia, Yan, Liu, Mei, Ye, Yan, Wan, Wenmei, Wang, Yajun, Ding, Aiua, Ren, Yan, Gao, Qi, Li, Guifang, Du, Yanling, Shen, Yanming, Ding, Ning, Li, Cui, Yuan, Lei, Tan, Qiang, Lin, Hailing, Guo, Howe, Yan, Xiao, Xu, Wei, Zhang, Jinxian, Liang, Libing, Zhang, Eryun, Tian, Qian, Zhao, Lin, Insu, Jingwen, Dong, Yanmei, Gu, Ying, Liu, Lina, Zhao, Wei, Wang, Hongmei, Qiao, Lili, Tuo, Mengmeng, Lv, Jin Yu Zhu, Jifen, Zhu, Ying, Wei, Man, Liu, Yin, He, Jiyin, Cheng, Jin, Liu, Jia, Na, Dongfang, Wei, Qing, Li, Xiaoying, Wu, Huan, Duan, Dongliang, Lin, Qiong, Liang, Xiaofang, Luo, Yunfeng, Xiong, Rong Fen Huang, Jing, Fu, Tao, Zan, Man, Ye, Zeya, Shi, Yanfei, Long, Yang, Lei, Xiaodi, Liu, Chen, Yumei, Lingling, Wang, Yali, Zhang, Yan, Xu, Cheng, Wang, Zhijuan, Chengxia, Sun, Jinhui, Song, Yingli, Wang, Xiumei, Liu, Yupeng, Liu, Yuxia, Yuan, Qingping, Huang, Fengling, Yang, Yun, Wu, Xianping, Luo, Xiaowu, Bai, Hong, Zheng, Min, Song, Yue, Sun, Zhangshuangzi, Li, Feifei, Luo, Miao, Liu, Li Chuntang Li, Xinjian, Li, Guiping, Zhang, Lina, Xiao, Tingting, Yu, Guangyuan, Gao, Wei, Wei, Fanglan, Wang, Ting, Han, Tingting, Li, Zeng, Qi, Jing Mei Zeng, Yan, Long, Fuqun, Pan, Jing, Wang, Guoxue, He, Haiyan, Chen, Feifei, Zhang, Chao, Yu, Gao, Chunhua, Xiuying, Yao, Dongmei, Bai, Liu, Lu, Xuelian, Xu, Yan, Wang, Xuejuan, Liang, Zhang, Na, Aizhi, Zhang, Xiaochun, Hu, Hui, Zhang, Ruixia, Wang, Poon Shing Tak, Sung Wai Ho, Qun Xia Jiang, Xinran, Ding, Liu, Hong, Limei, Miao, Zhaoxia, Feng, Liping, Huang, Juan, Wu, Yuping, Wang, Jiye, Guo, Baoke, Zhang, Chaoqun, Ma, Han, Yu, Congcong, Liu, Min, Ding, Linlin, Luan, Jing, Zheng, Shanshan, Lv, Shumin, Jiang, Wenzhen, Cao, Xiujuan, Xue, Guangyan, Liu, Xiyan, Wei, Youru, Jiang, Zhiru, Yao, Gao, Li, Jinhua, Li, Wenwen, Zhao, Mei, Jiang, Junping, Hao, Jing, Zhang, Caiju, Song, Feifei, Chen, Shuhui, Wang, Lili, Hu, Deyan, Cao, Jianhong, Wan, Xiaomin, Wang, Hongyan, Shao, Zhenxia, Zhang, Xia, Cui, Jingyu, Liu, Lijuan, Zhao, Xingguo, Li, Limei, Fan, Ling, Zhang, Min, Yu, Biyan, Li, Chunxia, Li, Ling, Liu, Xuelian, Liu, Wenmin, Chen, Yan, Li, Zhang, Zhigang, Yuchen, Wu, Chenghau, Mu, Guoyan, Zhu, Fan, Yang, Qi, Bo, Ling, Li, Meili, Chen, Jing Hua Jiang, Hai, Yin, Xuelian, Pang, Yue Ying Gong, Shunzhu, Yang, Xiaoli, Yan, Xianhong, Zheng, Dehong, Lei, Lei, Lei, Yinhua, Guo, Lihong, Liu, Jing, Yu, Wei, Sun, Aiping, Bi, Weiwei, Li, Yang, Wu, Ji, Li, Dongshu, Ni, Zijing, Wu, Bing, Song, Qin, Fei, Yang, Xiaoyan, Qiong, Ran, Xixi, Li, Xueping, Jiao, Hua, Ji, Sun, Zhiping, Hong, Ma, Jianhong, Mu, Yanhua, Hao, Yin, Li, Ying, Wang, Caihong, Hui, Wenjie, Ju, Yuxia, Huo, Yuxia, Wang, Lei, Chen, Yan, Yan, Qingli, Zhao, Hongjuan, Chen, Guijun, Bao, Ying, Cao, Hong, Li, Hong, Zhang, Ying, Zhang, Lina, Xu, Jia, Guixiang, Ying, Li, Hui Min Zhao, Xia, Huang, Zhaoxing, Dai, Yanman, Jian, Hongsu, Zhang, Zhixia, Tian, Zu Qing Cao, Miao, Li, Yang, Liu, Fei, Ouyang, Fuying, Ma, Wangyan, Jin, Liuyan, Ge, Shifen, Wu, Weilian, Yuan, Tianfei, Chen, Guanxiu, Shi, Zhihong, Chen, Kewei, Liu, Xue, Lin, Yuemen, Ly, Sun, Lijuan, Xiao Fang Tian, Shuo, Wang, Zhangxia, Feng, Xiaozhe, Liu, Yunchun, Dong, Jundi, Zhang, Nie, Bocui, Guoxian, Wang, Yingjuan, Zhao, Xiaojun, Wu, Qiao, Yang, Rongjun Ling Hu, Xue Qin Li, Zhu Jun Yu, Yanlan, Yao, Xiaoqiong, Deng, Yan, Xiao, Yan, Xie, Yanping, Yang, Huai, Yang, Yuming, Zhou, Zhuqing, Li, Min, Xiao, Yongxia, Yang, Yani, Tian, Luz Marina Silva Gama, Juan Sebastian Hernandez, Nestor, Caicedo, Jorge, Marin, Maria-Elena, Ochoa, Monica, Gomez, José, Rojas-Suarez, Jeniffer, Gonzalez, Amylkar José Garay Reyes, Edwin, Chapeta, Estefania, Orozco, Ina, Filipović-Grčić, Anita, Vuković, Suzana, Pečenković, Aleksandar, Šuput, Gordana, Zivanovic-Posilovic, Armanda, Bozena, Nikolina, Udiljak, Morena, Milic, Renata Curic Radivojevic, Slobodan, Mihaljevic, Marijana, Matas, Dinko, Tonkovic, Hemena, Čuljak, Ivana, Herceg, Gordana, Pavlisa, Milena, Dobric, Tatjana, Beker, Višnja Nesek Adam, Tanja, Goranovic, Chrysanthos, Markoulias, Mina, Mathaios, Maria, Mylordou, Eleni, Achilleos, Pavlina, Kleanthous, Veronika, Kotanidi, Maria, Foka, Iwy, Charalabous, Anna, Alexandrou, Marios, Georgiou, Artemis, Patsalos, Sofia, Zepoy, Constantina, Constantinou, Petr, Piza, Tomas, Vymazal, Elisabeth, Wiborg, Louise, Bruhn, Karin, Kaasby, Karin Rehnholt Pedersen, Sanne, Mikkelsen, Marie, Collet, Anne, Langvad, Hanne, Andresen, Susanne, Fischer, Inger Ebbesen Kjærgård, Britta, Jepsen, Birthe, Husted, Morten, Bestle, Anne Marie Kodal, Tina Charlotte Bitsch Hansen, Anne Sofie Bomholt Pedersen, Tina Damgaar Thomsen, Anisette, Hoegenhaven, Mette, From, Tine Melgaard Frandsen, Grit, Henning, Anja, Hansen, Inger Abildgaard Bliksted, Luis Mario Tamayo, Pedro, Mogrovejo, Carolina, Palaez, Diego Rolando Morocho Tutillo, Cintia Valencia Hurtado, Maria Fernanda García, Diana, Alvarez, Fausto, Guerrero, Alexandra, Vasquez, Martin, Kütimets, Kadri, Tamme, Eneli, Anvelt, Lomangisi, Dlamini-Sserumaga, Carita, Löfqvist, Virpi, Lusenius, Outi, Kauppi, Jenni-Katarina, Sakki, Tarja, Tervo-Heikkinen, Ulla, Kesti, Merja, Merilainen, Elina, Karjula, Minna, Peltomaa, Auli, Palmu, Maarit, Ahtiala, Maija Anniina Valta, Hervé, Mentec, Gaëtan, Plantefève, Guillaume, Besch, Sébastien, Pili-Floury, Stanislas, Ledochowski, Marc Danguy des Déserts, Christophe, Giacardi, Cédric, Daubin, Audrey, Massard, Yann Le Guen, Agnès, Blanc, Simon, Mandaroux, Silvia Calvino Günther, Prune, Avogadro, Anthony, Radavidson, Jean, Turc, Sébastien, Jochmans, Hervé, Quintard, Laetitia, Boyer, Cédric, Bruel, François, Philippart, Philippe, Montravers, Enora, Atchade, Nadine, Flessel, Benoît, Chinardet, Léa, Soulisse, Cindy, Pillard, Delphine, Ngo, Benjamin, Bongiorno, Nathalie, Heitzler, Virginie, Souppart, Nathalie, Gautheret, Jean-Francois, Timsit, Fatiha, Essardy, Muriel, Fartoukh, Daisy, Mehay, Fabienne, Etourneau, Jean-Christophe, Farkas, Pascal, Beuret, Gabriel, Preda, Etienne De Montmollin, Vincent, Castelain, Ulrich, Jaschinski, Monika, Rothenfusser, Detlef, Kindgen-Milles, Thomas, Dimski, Christine, Fiedler, Tobias, Heinicke, Patrick, Meybohm, Tobias, Schulze, Marc, Bota, Sabrina, Pelz, Tobias, Odenthal, Martin, Christ, Kathrin, Bösl, Achilleas, Chovas, Sebastian, Stehr, Philipp, Simon, Sarah, Grotheer, Sebastian, Schüppel, Stefan, Schaller, Lea, Albrecht, Andeas, Stübner, Stephan, Graeser, Nina, Kolbe, Martina, Lausch, Anja, Diers, Ulf, Guenther, Reimer, Riessen, Martin, Roller, Irene Pearl Osei, Anita-Chrysolyte, Kusi-Appiah, Yakubu, H Yakubu, Belinda, Guadi-Gosh, Christos, Dragoumanis, Christos, Christofis, Nikolaos, Kazakos, Styliani, Bastani, Charalampos, Martinos, Vasileios, Bekos, Metaxia, Papanikolaou, Theonymfi, Papavasilopoulou, Anna, Efthymiou, Vasiliki, Chantziara, Anna, Kyriakoudi, Nikolaos, Kakaras, Chrisi, Diakaki, Aikaterini, Flevari, Charikleia, Nikolaou, Kounougeri, Katerina, Lamprini, Avramopoulou, Kyriaki, Tsikritsaki, Georgios, Gkiokas, Eirini, Pantiora, Chrysostomos, Katsenos, Eirini-Chysovalanto, Patsiou, Paraskevi, Alexandropoulou, Ioannis, Koutsodimitropoulos, Epaminontas, Farmakis, Konstantina, Nestora, Marinos, Chatzis, Eumorfia, Kondili, Stella, Soundoulounaki, Ourania, Mousafiri, Dimitra, Lepida, Antonia, Liarmakopoulou, Georgios, Papathanakos, Mrina, Oikonomou, Panagiotis, Ioannides, Dimitrios, Papadopoulos, Ioannis, Staikos, Maria, Stafylaraki, Bogdan, Raitsiou, Konstantinos, Mandis, Ifigenia, Ravani, Styliani, Kourelea, Aikaterini, Efthimiou, Giannoula, Thoma, Apostolos, Bakas, Konstantinos, Psarulis, Souzana, Anisoglou, Eirini, Papageorgiou, Evangelia, Michailidou, Thomai, Tholioti, Athena, Lavrentieva, Evdokia, Sourla, Anastasia, Spyropoulou, Nikolaos, Pantelas, Kristina Mariana Matei Stalika, Ioannis, Georgakas, Antigoni, Karathanou, Syragoula, Tsikriki, Aikaterini, Dimoula, Sofia, Kanakaki, Aristeidis, Vakalos, Konstantinos, Pagioulas, Judy Enamorado Enamorado, Gabor, Nardai, Fatime, Hawchar, Asbjorn, Blondal, Brynja, Rygvadottir, Rannveig, J Jonasdottir, Hrönn, Birgisdottir, Bhagyesh, Shah, Shuchi, Kaushik, Swagata, Tripathy, Mukta, Singh, Sonika, Agarwal, Manish, Gupta, Meraj, Ahmad, Kishore, Mangal, Vaibhav, Bhargava, Vilas, Kushare, Simant, Jha, Lakshay, Bhakhtiani, Manoj, Kamal, Arvind, Baronia, Ade, Susanti, Mayang Indah Lestari, Zulkifli, Zulkifli, Windu, Baskoro, Farid, Zand, Fatemeh, Zarei, Ata, Mahmoodpoor, Farshad, Heidari, Fateme, Jafaraghaee, Aidan, O'Shea, Fiona, O'Shea, Caroline, O'Donnell, Geraldine, Craig, Gerry, Fitzpatrick, Lisa, Dunne, Jennifer, Hastings, Brian, Marsh, Caitriona, Cody, Elizabeth, Campbell, Deirdre, Doyle, Michelle, Pacturanan, Christine, Sheehan, Annette, Carey, Charlotte, Carter, Regina, Mulvey, Damien O'Connell Rosemary Finn, Catherine, Motherway, Amy, Walsh, Jennifer, Kehoe, Shella, Delossantos, Jennifer, Lalor, Siobhan, O'Nuallain, Helena, Behan, Sandra, Mcpherson, Ailesh, Corcoran, Patricia, Gordon, Glenda, Rooney, Dassy, Levy, Mazal, Azencot, Vladimir, Gurevich, Alinoy, Lavy, Valentina, Bendelari, Romina, Marconi, Antonio, Barone, Chiara, Gatti, Andrea, Giampaoletti, Cinzia, Borgognoni, Davide Massimo Ghioldi, Arena, Raimondo, Giacomo, Castiglione, Anna Vita Bruno, Giorgia, Rubulotta, Antonella, Mo, Amalia, Corso, Salvatore, Girianni, Andrea, Bruni, Eugenio, Garofalo, Salvatore Maurizio Maggiore, Alessandro Di Risio, Italo, Calamai, Rosario, Spina, Savino, Spadaro, Carlo Alberto Volta, Antonella, Cotoia, Lucia, 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Harding-Goldson, Shunsuke, Taito, Nobuaki, Shime, Ryohey, Yamamoto, Fumiya, Kanda, Akemi, Hirao, Moritoki, Egi, Ayako, Noguchi, Satoru, Hashimoto, Umeda, Aya, Hideaki, Sakuramoto, Akira, Ohuchi, Jun, Kataoka, Kumi, Maruyama, Izumi, Nakayama, Yoshimasa, Nishime, Koji, Fujimoto, Kenji, Takahashi, Mayumi, Tsujimoto, Masako, Shimizu, Eunice, Tole, Malcolm, C Correia, Je Hyeong Kim, Sunghoon, Park, Kyung Chan Kim, Jonghyun, Baek, Jung-Min, Bae, So Young Park, Tai Sun Park, Heung Bum Lee, Seung Yong Park, Jisoo, Park, Lee, Yeon-Joo, Cho, Young-Jae, Sang-Miin, Lee, Kyeongman, Jeon, Seok Chan Kim, Jongmin, Lee, Hyun Keun Chee, Jin Won Huh, Yun Su Sim, Junghyun, Kim, Youjin, Chang, Jong-Joon, Ahn, Byung Ju Kang, Won-Yeon, Lee, Seok Jeong Lee, Nehat, Baftiu, Ivasr, Krastins, Sonia, Stiban, Michel El Feghaly, Elie, Gharios, Marie, Merheb, Mohamed, Benlamin, Ala, Khaled, Wesal Ali Belkhair, Majd, Tabib, Firas, Ashour, Ahmed, Elhadi, Osama Wanees Emhemid Tababa, Taha, Khaled, Soad Imhmed, R Alkhumsi, Abdualhamid, I Alshrif, Ahmed Ali Aboufray, Aya, Alabuzidi, Ahmed Ramadan Triki, Mala, Elgammudi, Hajer Ben Zahra, Enas, Soula, Maram Milud Said Al-Alawi, Hazem, Ahmed, Mohamed Abdurazzag Ali Ghula, Saulius, Vosylius, Lucie, Mouton, Touraj, Rastegar, Claude, Sertznig, Gilles, Martin, Christian, Theisen, Christian, Ferretti, Fränk, Gils, Marc, Gallion, Asmah, Zainudin, Laila Kamaliah Kamalul Bahrin, Shanti Rudra Deva, Azmin Huda Abdul Rahim, Sherliza, Wahab, W Nazaruddin, W Hassan, Wan Nasrudin Wan Ismail, Mohd Nazri Ali, Tien Meng Khoo, Noryani Mohd Samat, Jenny May Geok Tong, Nik Azman Nik Adib, Mohd Basri Mat Nor, Shanthi, Ratnam, Nahla, Ismail, Siti Rohayah Sulaiman, Kit Weng Foong, Anita, Alias, Ngu Pei Hua, Jorge Macias Zermeno, Daniel, Blanco, Karely, Duran, Claudia Lizbeth Lopez Nava, San Juan Roman Nandyelly, Luis Alejandro Sanchez-Hurtado, Brigitte, Tejeda-Huezo, Mario Del Moral Armengol, Luis Pedro Ambriz Nava, Jorge Guerra Herrera, Gilberto Felipe Vazquez de Anda, Humberto, Gallegos-Perez, Nancy, Hernandez-Sanchez, Lucia, Hernandez-Ponce, Luis, Gorordo-Delsol, Marcos, Hernandez-Romero, Saira, Gomez, Fernando, Molinar, Silvio, A Ñamendys-Silva, Juan, P Romero-Gonzalez, Daira, Gonzalez, Antonio, Landaverde, Miguel Ángel Sosa, Berenice, Navarro, José Ivan Rodriguez de Molina Serrano, Sergio Reyes Iburrigarro, Alejandro, Ibarra, Joaquin, Aguirre, Mayra, Martinez-Gonzalez, Nayeli Rocio Cañas Padilla, Ana Alícia Velarde Pineda, Missael Vladimir Espinoza Villafuerte, María Ocotlan Gonzalez Herrera, Battsetseg, Baasanjav, Abdelhamid, Hachimi, Mina, Elkhayari, Tarek, Dendane, Nisha Bhandari Subedi, Sabina Dhakal Pathak, Meena, Manandhar, Laura Van Gulik, Mark Van Den Brink, Peter Van Vliet, Benjamin, Gerretsen, Lettie Van Den Berg, Marina De Haan, Binny, Tuinstra, Paul, Kuijpers, Jennifer, Reijntjens, Jan Wytze Vermeijden, Martin, Rinket, Margijske, Vanroest, Auke, Reidinga, Bert, Loef, Willem, Dieperink, Marisa, Onrust, Tom, Dormans, Laura, Bormans, Matty, Koopmans, Rik, T Gerritsen, Arlette Van Den Elst, Mirjam, Evers, Oscar, Oiting, Rob, Wilting, Bart, Ramaker, Mark van der Kuil, Jan-Willem, Fijen, Lenneke, Haas, Jasper, Haringman, Lynette, Newby, Eileen, Gilder, Danielle, Hacking, Rica, Dagooc, Rima, Song, Hansjoerg, Waibel, Frances, Dawn, Jackie, Rapley, Llesley, Chadwick, Carmel, Chapman, Petra, Crone, Jonathan, Albrett, Peter, Marko, Jennifer, Goodson, Troy, Browne, Richard, Whitticase, Cheryl, Davidson, Harriet, Judd, Daniel, Owens, Tonia, Onyeka, Innocent, Ugwu, Rose, Ilesanmi, Prisca Olabisi Adejumo, Afolabi, Owojuyigbe, Anthony, Adenekan, Stella, Uba, Christiana, Chime, Deborah, Jibrin, Babangida John Sankey, Oyebola, Adekola, Simeon, Olanipekun, Mirjana, Shosolcheva, Vanja, Gievski, Andrijan, Kartalov, Filip, Naumovski, Biljana, Kuzmanovska, Angela, Trposak, Zaneta, Bogoevska-Miteva, Rodney, Rosalia, Brita Fosser Olsen, Britt, Sjobo, Karianne Dale Jensen, Drammen, Sykehus, Birgitte Fosser Johansen, Esben, Straede, Edda, Johansen, Inger Johanne Finnstrom, Annette, Toellefsen, Hege, Ostenjo, Hege, Bjorgen, Bjorn, Bratsberg, Elin, Kristoffersen, Elin Mari Skorstad, Siri, Hansen, Sylvi, Vullum, Gro Anne Lunde, Wenche, Arntsen, Mette, Lund, Gro Ringstad Akselsen, Kristina Reinertsen Monstad, Ane, Stenset, Hanne, Haugom, Bjoern, Monsen, Lisa, Høgvall, Siw, Trudvang, Britt, Galaaen, Siv Karin Malmin, Marit Hildegunn Andersen, Rita Foss Hargott, Yvonne, Andersen, Elin, Steffenak, Marit, Nyhus, Barbro, Meland, Madiha, Hashmi, Noelia, Rivas, Elizabeth, Maidana, Alberto de Jesús Ortiz, Dolly Mabel Bordon Cabral, Marcelo, Simi, Cesar, Aponte, Juan Carlos Rivas, Sirley, Gill, Amilcar, Garcia, Gloria, Alvarenga, Laura, Cespedes, Hugo, Perez, Maria Liz Moreira, Fidelina, Canete, Roberto, Gonzalez, Natalia, Monges, Mary, Coman, Marcelo, Pederzani, Natalia, Franco, Ferdinand, Aganon, Regina, Martinez, Debbie, Noblezada-Uy, Chris Gerome Ellazar, Franklin Dean Cerezo, Jose Emmanuel Palo, Cristal April Jane Aperocho, Michael, Isanan, Marta, Tubacka, Przemyslaw, Jasiewicz, Miroslaw, Czuczwar, Michal, Borys, Aleksandra, Gutysz-Wojnicka, Lidia, Glinka, Ryszard, Gawda, Jan, Bilawicz, Paula, Cabrita, João, Vieira, Margarida Ferreira Figueiredo, Cristiana Mota Pinheiro, Nelson, Antunes, Laura, Pedro, Fatima, Ferreira, Isabel, Parente, Maria, Varela, Fatima, Fernandes, Claudia, Martins, Abel, Viveiros, Raquel, Cavaco, Clara Santa Rita, Sofia, Dias, Ana Margarida Feranandes, Pedro, Silva, Catarina, Nunes, João, Cabral, Filpe, Pires, Hilaryano, Ferreira, Jacinta, Santos, Vitor Manuel Vaz Pinto, Bruno Miguel Bispo, Amelia, Ferreira, Elena, Molinos, Estevão, Lafuente, Ricardo, Gregorio, Humberto, Costa, Ângela, Lima, Susana, Ferreira, Vanda, Seromenho, Eulália, Luis, Idália, Valerio, Helena, Cesar, Ana, Tavares, Ahmed Subhy Alsheikhly, Saeed, Mahmood, Catalin Traian Guran, Alida, Moise, Daniela Carmen Filipescu, Mihail, Luchian, Mihai, Popescu, Monica Adriana Scutariu, Cristina, Petrisor, Natalia, Hagau, Ioana, Grigoras, Tatiana, Patrichi, Vitaly, Gusarev, Alexandra, Pivkina, Vladimir, Kulakov, Olga, Ignatenko, Julia, Kovaleva, Trina, Zhivotneva, Marina, Zhedaeva, Nikita, Matiushkov, Olga, Ershova, Natalya, Egorova, Victoria, Khoronenko, Danil, Baskakov, Dmitry, Sergeev, Michael, Piradov, Liudmila, Grishina, Marat, Magomedov, Evgeniy, Zuev, Uri, Gorokhovatsky, Anna, Leonova, Liudmila, Fadeeva, Vladislav, Belskiy, Dmitriy, Galishevskiy, Nadezhda, Zubareva, Maksim, Tribulev, Oksana, Zueva, Alexander, Kiselev, Nikolaj, Kamenshchikov, Ekaterina, Tokareva, Maxim, Petrushin, Irina, Starchenko, Isaac, Nshimyumuremyi, Jerome, Muhizi, Egide, Buregeya, Josue, Nzarora, Amer, Assiri, Maie Salem Ebaid, Ghaleb, Almekhlafi, Yasser, Mandourah, Jelena, Velickovic, Dejan, Veličković, Bojan, Jovanovic, Adi, Hadzibegovic, Branislava, Stefanovic, Vanja, Misic, Vesna, Bumbasirevic, Marija, Rajković, Milena, Stojanovic, Srđan, Gavrilovic, Maja, Stanojević, Aktham, Yaghi, Anton, Turčan, Peter, Firment, Garri, Slobodianiuk, Daria, Rabarova, Danca, Lančaričová, Janko, Vlaovic, Matjaž, Groznik, Milica, Lukic, Janja, Perme, Maja, Sostaric, Nejc, Umek, Tomislav, Mirkovic, Simon, Dolenc, Misa, Fister, Nika, Zorko, Andrej, Markota, Nomhle Princess Yeni, Phumele, Jali, Shelley, Schmollgruber, Muhommed Ridwaan Syed, Nivisha, Parag, Robert, Wise, Maria, Galiana, José Alejandro Navarro, Ana María De Pablo, Patricia, Albert, Pilar, Martinez, Yolanda, Mendiara, Barbara, Garcia, Ana Alabart Llinas, Marilyn, Riveiro, Elisabet, Gallart, Alba, Riera, Miquel, Sanz, Swagotika, Salo, Miguel Angel Gimenez Lajara, Montserrat Venturas Nieto, Rosa, Garcia, José Manuel Garcia Pena, Maria Carmen Gorgolas, Maria Aranzazu Isasi, Rafael, Sierra, Federico, Gordo, Isabel, Conejo, Vicent, Salvà-Costa, Carolina, Garzón-Tovar, Sara, Lospitao, Rafael, Gonzalez, Pedro, Gutierrez, Mercè, Girona, Jordi, Adamuz, Pablo Garcia Olivares, José Peral Gutierrez de Ceballos, Celia, Tirado, Irene De Wit, Ana Belén Curto Polo, Maria Del Mar Diaz Salcedo, Javier, Ripolles-Melchor, Eugenio, Martinez-Hurtado, Jorge Duerto Alvarez, María Luisa Bravo Arcas, Juan Ignacio Torres Gonzalez, Ana Belén Sánchez de la Ventana, Pablo Lopez-Arcas Calleja, Raquel Garcia Alvarez, Purificacion Sanchez Zamora, Alvaro Ortega Guerrero, Rosario, Cosano, Jonathan, Perez-Vacas, Margarita, Campos-Perez, Emma Moreno Barreiro, Losune Cano Sanchez, Monica Garcia Diaz, Raquel, Jimenez, Lorena Del Rio Cabajo, Daniel Sancho Muriel, Helena Fernandez Alonso, Ana Wensell Fernández, Isabel Santín Piñan, Guillermo Muñiz Albaiceta, Maria Cristina Iglesias Fernandez, Francisco Javier Saenz Abos, Pablo, Monedero, Ramon Molina Chueca, Lydia Gallego Aguirre, Silvia Call Manosa, Carmen Partera Luque, Neus, Calpe, Monica Recio Losilla, Meritxell Tapia Fores, Olga, Farre, Oscar, Fernandez, M Del Rosario Villar Redondo, Donaldo, S Arteta Arteta, Maria Angeles Hurtado Sanchez, Cristina Paños Espinosa, Laura Martinez Reyes, Laura Claramunt Domenech, Carmen Velasco Guillén, Josep Trenado Alvarez, Mercedes Del Cotillo, Jesus Emilio Barrueco-Francioni, Belen Burgos Conde, Maria Pilar Sogues Blanco, Maria Luisa Blasco, Ana Isabel Clement, Clara, Hurtado, Luz Coronado Sanz, David, Perez-Torres, Estefanía, Prol-Silva, Jorge, Pereira, Iván Areán González, Anastasio Espejo Cano, Cesar Rodriguez Nuñez, Inmaculada Lorenzo Fernadez, Alejandra Azahara Marguello Fernandez, Rosa Del Bosque Diez, Badiola, Hilario, Begoña, Zalba-Etayo, Ana, Pascual-Bielsa, Preveen, Banwarie, Dick, Nahar, Alisha van Axel, Naraindath, N Boedjawan, Erika Backlund Jansson, Ann-Sofie, Malvemyr, Lotta, Johansson, Ulla, Sandberg, Catarina, Tingsvik, Gunilla, Mattsson, Gun, Löf, Martin, Spångfors, Mona, Ringdal, Sebastian, Geijer, Lotti, Orvelius, Mia, Hylen, Caroline, Lagerhäll, Eva, Åkerman, Viveca Hamback Hellkvist, Ulrica, Mickelsson, Ewa, Wahlbom, Ing-Marie, Larsson, Ewa, Wallin, Filippo, Boroli, Solenne, Ory, Margaret Lynn Jong, Alexander, Dullenkopf, Martin, Lang, Yvan, Fleury, Marianne, Maus, Nawfel, Ben-Hamouda, Anne, Fishman, Mei Yu Hsu, Shu Chuan Chang, Konlawij, Trongtratul, Chaiwut, Sawawiboon, Sunthiti, Morakul, Bodin, Khwannimit, Keevan, Singh, Dale, Ventour, Dianne, Figaro-Barclay, Sasha, Sankar-Maharaj, Mhamed Sami Mebazaa, Salma, Kamoun, Souheil, Elatrous, Lamia, Besbes, Fekri, Abroug, Walid, Naija, Youssef Zied Elhechmi, Walid, Sellami, Zied, Hajjej, Takoua, Merhabene, Imen, Talik, Ozlem Ozkan Kuscu, Ozcengiz, Dilek, Avşar, Zerman, Hayriye Cankar Dal, Sema, Turan, Semih, Aydemir, Hakan, Yilmaz, Duygu Kayar Calili, Seval, İzdes, Melike, Cengiz, Ayça, Gümüş, Banu, Taşdemir, Ali, Kağnıcı, Mustafa, Ay, Serap Avcı Ay, Gulbahar, Caliskan, Turkay, Akbas, Abidin Oner Balbay, Serdar, Efe, Volkan, Inal, Gülseren, Elay, Pınar, Karabacak, Boğaç, Özserezli, Evren, Şentürk, Oktay, Demirkiran, Suha, Bozbay, Elif, Erdogan, Mustafa, Akker, Nebia, Peker, Asu, Ozgultekin, Sibel Ocak Serin, Can, Turan, Gulsah, Karaoren, Senay, Goksu, Sait, Karakurt, Huseyin, Arikan, Fethi, Gül, İsmail, Cinel, Iskender, Kara, Hasan Nabi Undar, Yesim Serife Bayraktar, Jale Bengi Çelik, Murat Emre Tokur, Demet Tok Aydin, İsmail, Yildiz, Beysim, Özcan, Başar, Erdivanli, Ahmet, Eroglu, Devrim, Akdağ, Nurdan, Ünlü, Adonis, Dungca, Ashwaq, Ali, Bindu, Thankamma, Paul Eric Reyes, Sini, John, Ajitha, Rajendran, Fatima Kasem El Ahmad, Kathleen Ann Smiley, Susanna, Hojden, Mia Thorning Miller, Vishnu Das Sasidharan Nair, Maria Gracia San Antonio, Khaled Al Qawasmeh, Sabah Abu Shawish, Hilary, Twiggs, Ines, Rosado, Volodymyr, Babych, Faye, Morren, Charlotte, Young, Nicola, Vaughan-Jones, Stephanie, Harris, Karen, Burns, Carmel, Georgiev, Rosina, Shayamano, Ian, Kerslake, Peter, Creber, Ana, Vochin, Catherine, O'Brien, Paul, Caddell, Samantha, Hagan, Mandy, Hughes, Tomasz, Torlinski, James, Sherwin, Santhana, Kannan, Amber, Markham, Richard, Lebon, Jason, Cupitt, Julius, Cranshaw, Nigel, White, Victoria, Marriott, Wendy, Milner, Casiano Barrera Groba, Joao, Azoia, Petra, Polgarova, Shaly, George, Ritoo, Kapoor, Ceri, Lynch, Nathalie, Fox, Karen, Cranmer, Natalie, Fox, Thomas, Llewellym, Kelly, Matthews, Louise, Maltby, Jowena, Ibao, Karen, Boulton, Rachel, Jarman, Karen, Baxter, Ashok Sundai Raj, Arif, Moghal, Joanne, White, Suzanne, Barrowcliffe, Mark, Pulletz, Vaarisan, Ganeshalingam, Rosaleen, Baruah, Carole, Boulanger, Helen, Baker, Justin, Woods, Poe Poe Ei, Vongayi, Ogbeide, Paul, Hayden, Jennifer, Hughes, Madhu, Balasubramanian, Armorel, Salberg, Rajnish, Saha, Dagmar, Holmquist, Claire, Derbyshire, Neil, Smith, Elizabeth, Stones, Jane, Ademokun, Monica, Popescu, Maria Schofield Legorburo, Samantha, North, Carole, Brett, Helen, Jaundoo, Jayne, Craig, Simon, Whiteley, Clare, Howcroft, Liz, Wilby, Peter, Delve, David, Shaw, Karen, Williams, Ingeborg, D Welters, Jane, Mcmullen, Stephen, Brett, Leah, Flores, Treiza, Trueman-Dawkins, Mae, Templeton, John, Adams, Catherine, Smith, John, Prowle, Heather, Byers, Andrea, Mcdonnell, Bernd Oliver Rose, Rosie, Reece-Anthony, Luis, Mendes, Marcela, Vizcaychipi, Rhian, Bull, Grace, Lacaden, Eleanor, Santiago, Carlos Castro Delgado, Sarah, Farnell-Ward, Elaine, Thorpe, Justine, Somerville, Anne, Williams, Donna, Cummings, Helen, Derrick, Sarah, Brumwell, Claire, Randell, Nicola, Mccann, Emma, Aves, Gillian, Berry, Tamas, Szakmany, Una, Gunter, Paul, Pulak, Nikki, Sarkar, Kerry, Wright, Vitor, Gomes, Jones, Jo, Ruth, Palfrey, Julie, Camsooksai, Abby, Lewis, Antony, Eneas, Ascanio, Tridente, Louise, Barr, Beverley, Thomas, Emma, Parkin, Daniel, Horner, Christian, Frey, Suzanne, Bench, Rachel, Baumber, Phil, Broadhurst, Matthew, Jackson, Lynne, Williams, Michele, Clark, Jonathan, Paddle, Sarah, Bean, Sarah, Buckley, Christopher, Palfreeman, Sophie, Liu, Nicola, Allison, Ben, Attwood, Penny, Parsons, Victoria, Houghton, Sarah Jane Turner, David, Higgins, Egidija, Bielskute, Nicola, Horrigan, Reni, Jacob, Karen, Habgood, Ahmed, Zaki, Amy, Collins, Jenny, Lord, Charalice, Ramiro, Agnieszka, 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European Society of Intensive Care Medicine (ESICM) Trials Group Collaborators, Muzha, D., Ribas, A.M., Lipovesty, F., Loudet, C., Coyer, F., Eller, P., Mostafa, N., Honoré, P.M., Telleria, V.M., Smajic, J., Nogueira, P.C., Nafees, KMK, Hentchoya, R., Rose, L., Soledad, J., Lin, F., Cardenas, Y., Reyes, A.G., Sustic, A., Mpouzika, M., Vymazal, T., Jensen, H.I., Aguirre-Bermeo, H., Maddison, L., Valta, M., Calvino-Gunther, S., Bloos, F., Adipa, F.E., Koulouras, V., Enamorado, J., Ágoston, Z., Birgisdóttir, H., Gupta, A., Gurjar, M., Kilapong, B., Hashemian, S.M., Martin-Loeches, I., Benbenishty, J., Cortegiani, A., Fletcher, K., Hayashi, Y., Waweru-Siika, W., Abidi, K., Lee, S.M., Hadri, B., Dolgusevs, M., Abillama, F.F., Jovaisa, T., Thix, C., Elhadi, M., Nor, B.M., Ratnam, S., Mazlan, M.Z., Maiyalagan, S., Sánchez-Hurtado, L., Belii, A., Naranpurev, M., Gautam, P., De Lange, D., Parke, R., Ilesanmi, R.E., Shosholcheva, M., Petosic, A., Lind, R., Ffarcsi, M.H., Bogarin, J., Hernandez, A.M., Mikaszewska-Sokolewicz, M., Sousa, B., Tomescu, D., Sandesc, D., Twagirumugabe, T., Gusarov, V., Ebaid, M., Jankovic, R., Slobodianiuk, G., Martonova, A., Knafelj, R., Mer, M., Maseda, E., Panka, B., Schefold, J.C., Joelsson-Alm, E., Trongtrakul, K., Merritt-Charles, L., Besbes, L.O., Dikmen, Y., Zgrzheblovska, L., Fielding, M., Rubulotta, F., Khanna, A.K., Saager, L., von der Osten, I., Greca, A., Cani, A., Xhindi, N., Hyska, G., Pinto, S., Alves, P., Esposito, R., Valgolio, E., Minope, JTS, Abdala, A., Ayala, M., Bravo, S., Bantar, A., Delgado, P., Badariotti, G., Lipovestky, F., Diaz, A., Saul, P., Setten, M., Aucapina, A., Acosta, Y., Gonzalez, V., Camputaro, L., Baccaro, F., Villa, R., Mastantuono, M., Dean, E., Rostello, O.F., Brizuela, P., Bartoli, J.R., Guereschi, M., Quiroga, C., Putruele, S., Villegas, P., Curilen, V., Fernandez, R., Nocheretti, M.G., Escalante, R.G., Loudet, C.I., Fernandez, S., Gonzalez, A.L., Alvarez, G.A., Iglesias, F., Chaparro, S., Zakalik, G., Pagella, G., Baini, M., Campos, P.A., Sabbag, I., Schmukler, A., Fonseca, I.P., Alvarez, G.M., Ramirez, M., Tapia, F., Bascary, C.A., Del Valle Gimenez, G., Bertoletti, F.P., Milioto, E., Bonsignore, PJM, Fernandez, M.A., Smith, J., Chimunda, T., Thompson, L., Maguire, T., Chaboyer, W., Watts, S., Mitchell, M., Powell, M., Lye, I., Parsons, L., Baker, N., Reynolds, C., Thompson, A., Masters, K., Sosnowski, K., Morrison, L., Leslie, G.D., Lakshmanan, R., Tabah, A., Brown, W., McDowell-Skaines, S., McLucas, A., Smith, C., Tallot, M., Jones, S., Barakat-Johnson, M., Leong, T., Butcher, R., Martin, K., Douschan, P., von Lewinski, D., Schmutz, R., Kolussi, U., Salman, F., Ateya, Z., De Decker, K., Van Regenmortel, N., Jans, A., Wijnands, P., Coremans, S., Honore, P.M., De Bels, D., Depuydt, T., Paillet, C., Jacquet, L.M., Swinnen, W., Hannes, F., Mergeay, M., Van de Velde, S., Allaert, S., Hoste, P., Borin, C., Balon, S., Fraipont, V., Biston, P., De Schryver, N., Dugernier, T., Van 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Yuan, C., Tan, L., Lin, Q., Guo, H., Yan, H., Xu, X., Zhang, W., Liang, J., Zhang, L., Tian, E., Zhao, Q., InSu, L., Dong, J., Gu, Y., Zhao, L., Qiao, H., Tuo, L., Lv, M., Zhu, J.Y., Zhu, J., Wei, Y., Liu, M., He, Y., Cheng, J., Liu, J., Jia, N., Wei, D., Wu, X., Duan, H., Lin, D., Liang, Q., Luo, X., Xiong, Y., Huang, R.F., Fu, J., Zan, T., Shi, Z., Long, Y., Lei, Y., Liu, X., Yumei, C., Wang, L., Zhang, Y., Xu, Y., Cheng, X., Zhijuan, W., Sun, C., Song, J., Wang, Y., Yuan, Y., Huang, Q., Yang, F., Wu, Y., Bai, X., Zheng, H., Song, M., Sun, Y., Li, Z., Luo, F., Li, L.C., Zhang, G., Xiao, L., Yu, T., Gao, G., Wei, W., Wang, F., Han, T., Li, T., Zeng, Q., Zeng, J.M., Pan, F., Wang, J., He, G., Chen, H., Zhang, F., Chao, Y., Chunhua, G., Yao, X., Bai, D., Liu, L., Liang, X., Zhang, N., Zhang, A., Hu, X., Zhang, H., Wang, R., Tak, P.S., Ho, S.W., Jiang, Q.X., Ding, X., Hong, L., Miao, L., Feng, Z., Huang, L., Wu, J., Guo, J., Zhang, B., Ma, C., Han, Y., Liu, C., Ding, M., Luan, L., Zheng, 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McPherson, S., Corcoran, A., Gordon, P., Rooney, G., Levy, D., Azencot, M., Gurevich, V., Lavy, A., Bendelari, V., Marconi, R., Barone, A., Gatti, C., Giampaoletti, A., Borgognoni, C., Ghioldi, D.M., Raimondo, A., Castiglione, G., Bruno, A.V., Rubulotta, G., Mo, A., Corso, A., Girianni, S., Bruni, A., Garofalo, E., Maggiore, S.M., Di Risio, A., Calamai, I., Spina, R., Spadaro, S., Volta, C.A., Cotoia, A., Mirabella, L., Maulicino, L., Abregal, G., Donvito, M., D'Ambrosio, P., Binda, F., Adamina, I., Galazzi, A., Negro, A., Vaschetto, R., Capuzzi, F., Boschetto, M., Stivanello, L., Bonaccorso, L., Megna, C., Iozzo, P., Rizzo, A., Scire, G., Taibi, M.R., Tranello, F.P., Manzo, A., Traina, L., Pastore, B., Quaini, A., Giusti, G.D., Montaldi, G., Piergentili, F., Mancini, F., Casaioli, S., Uccelli, F., Guarracino, F., Onelli, A., Di Gravio, V., Cossu, M., Matrona, O., Rocco, M., Alampi, D., Dellafiore, F., Ranalli, F., Bossolasco, M., Brizio, E., Migliorino, P., Cortellazi, P., Rosati, M., D'Ambrosio, F., Quagliotto, C., Roman-Pognuz, E., Peratoner, A., De Rosa, S., Martin, M.A., De Sanctis, F., Ciorba, P., Toppin, P., Harding-Goldson, H., Taito, S., Shime, N., Yamamoto, R., Kanda, F., Hirao, A., Egi, M., Noguchi, A., Hashimoto, S., Aya, U., Sakuramoto, H., Ohuchi, A., Kataoka, J., Maruyama, K., Nakayama, I., Nishime, Y., Fujimoto, K., Takahashi, K., Tsujimoto, M., Shimizu, M., Tole, E., Correia, M.C., Kim, J.H., Park, S., Kim, K.C., Baek, J., Bae, J.M., Park, S.Y., Park, T.S., Lee, H.B., Park, J., Yeon-Joo, L., Young-Jae, C., Jeon, K., Kim, S.C., Lee, J., Chee, H.K., Huh, J.W., Sim, Y.S., Kim, J., Chang, Y., Ahn, J.J., Kang, B.J., Lee, W.Y., Lee, S.J., Baftiu, N., Krastins, I., Stiban, S., Feghaly, M.E., Gharios, E., Merheb, M., Benlamin, M., Khaled, A., Belkhair, W.A., Tabib, M., Ashour, F., Elhadi, A., Tababa, OWE, Khaled, T., Alkhumsi, SIR, Alshrif, A.I., Aboufray, A.A., Alabuzidi, A., Triki, A.R., Elgammudi, M., Zahra, H.B., Soula, E., Al-Alawi, MMS, Ahmed, H., Ghula, MAA, Vosylius, S., Mouton, L., Rastegar, T., Sertznig, C., Martin, G., Theisen, C., Ferretti, C., Gils, F., Gallion, M., Zainudin, A., Bahrin, LKK, Deva, S.R., Rahim, AHA, Wahab, S., Hassan, WNW, Ismail, WNW, Ali, M.N., Khoo, T.M., Samat, N.M., Tong, JMG, Adib, NAN, Nor, MBM, Ismail, N., Sulaiman, S.R., Foong, K.W., Alias, A., Hua, N.P., Zermeno, J.M., Blanco, D., Duran, K., Nava, CLL, Nandyelly, SJR, Sanchez-Hurtado, L.A., Tejeda-Huezo, B., Del Moral Armengol, M., Nava, LPA, Herrera, J.G., de Anda, GFV, Gallegos-Perez, H., Hernandez-Sanchez, N., Hernandez-Ponce, L., Gorordo-Delsol, L., Hernandez-Romero, M., Gomez, S., Molinar, F., Ñamendys-Silva, S.A., Romero-Gonzalez, J.P., Gonzalez, D., Landaverde, A., Sosa, M.Á., Navarro, B., de Molina Serrano, JIR, Iburrigarro, S.R., Ibarra, A., Aguirre, J., Martinez-Gonzalez, M., Padilla, NRC, Pineda, AAV, Villafuerte, MVE, Herrera, MOG, Baasanjav, B., Hachimi, A., Elkhayari, M., Dendane, T., Subedi, N.B., Pathak, S.D., Manandhar, M., Van 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A.S., Goller, S., Afonso, E., Larina, E., Labeau, Sonia O. 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[0000-0003-2145-0345], Apollo - University of Cambridge Repository, Critical Care, Labeau S.O., Afonso E., Benbenishty J., Blackwood B., Boulanger C., Brett S.J., Calvino-Gunther S., Chaboyer W., Coyer F., Deschepper M., Francois G., Honore P.M., Jankovic R., Khanna A.K., Llaurado-Serra M., Lin F., Rose L., Rubulotta F., Saager L., Williams G., Blot S.I., Muzha D., Ribas A.M., Lipovesty F., Loudet C., Eller P., Mostafa N., Telleria V.M., Smajic J., Nogueira P.C., Nafees K.M.K., Hentchoya R., Soledad J., Cardenas Y., Reyes A.G., Sustic A., Mpouzika M., Vymazal T., Jensen H.I., Aguirre-Bermeo H., Maddison L., Valta M., Bloos F., Adipa F.E., Koulouras V., Enamorado J., Agoston Z., Birgisdottir H., Gupta A., Gurjar M., Kilapong B., Hashemian S.M., Martin-Loeches I., Cortegiani A., Fletcher K., Hayashi Y., Waweru-Siika W., Abidi K., Lee S.-M., Hadri B., Dolgusevs M., Abillama F.F., Jovaisa T., Thix C., Elhadi M., Nor B.M., Ratnam S., Mazlan M.Z., Maiyalagan S., Sanchez-Hurtado L., Belii A., 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Goksu S., Karakurt S., Arikan H., Gul F., Cinel I., Kara I., Undar H.N., Bayraktar Y.S., Celik J.B., Tokur M.E., Aydin D.T., Yildiz I., Ozcan B., Erdivanli B., Eroglu A., Akdag D., Unlu N., Dungca A., Ali A., Thankamma B., Reyes P.E., John S., Rajendran A., Ahmad F.K.E., Smiley K.A., Hojden S., Miller M.T., Das Sasidharan Nair V., Antonio M.G.S., Qawasmeh K.A., Shawish S.A., Twiggs H., Rosado I., Babych V., Morren F., Young C., Vaughan-Jones N., Harris S., Burns K., Georgiev C., Shayamano R., Kerslake I., Creber P., Vochin A., O'Brien C., Caddell P., Hagan S., Hughes M., Torlinski T., Sherwin J., Kannan S., Markham A., Lebon R., Cupitt J., Cranshaw J., White N., Marriott V., Milner W., Groba C.B., Azoia J., Polgarova P., George S., Kapoor R., Lynch C., Fox N., Cranmer K., Llewellym T., Matthews K., Maltby L., Ibao J., Boulton K., Jarman R., Baxter K., Raj A.S., Moghal A., White J., Barrowcliffe S., Pulletz M., Ganeshalingam V., Baruah R., Baker H., Woods J., Ei P.P., Ogbeide V., Hayden P., Hughes J., Balasubramanian M., Salberg A., Saha R., Holmquist D., Derbyshire C., Smith N., Stones E., Ademokun J., Legorburo M.S., North S., Brett C., Jaundoo H., Craig J., Whiteley S., Howcroft C., Wilby L., Delve P., Shaw D., Williams K., Welters I.D., McMullen J., Brett S., Flores L., Trueman-Dawkins T., Templeton M., Adams J., Prowle J., Byers H., McDonnell A., Rose B.O., Reece-Anthony R., Mendes L., Vizcaychipi M., Bull R., Lacaden G., Santiago E., Delgado C.C., Farnell-Ward S., Thorpe E., Somerville J., Williams A., Cummings D., Derrick H., Brumwell S., Randell C., McCann N., Aves E., Berry G., Szakmany T., Gunter U., Pulak P., Sarkar N., Wright K., Gomes V., Jones J., Palfrey R., Camsooksai J., Lewis A., Eneas A., Tridente A., Barr L., Thomas B., Parkin E., Horner D., Frey C., Bench S., Baumber R., Broadhurst P., Jackson M., Williams L., Clark M., Paddle J., Bean S., Buckley S., Palfreeman C., Liu S., Allison N., Attwood B., Parsons P., Houghton V., Turner S.J., Higgins D., Bielskute E., Horrigan N., Jacob R., Habgood K., Zaki A., Collins A., Lord J., Ramiro C., Kubisz-Pudelko A., Kotze M., Williams H., Iovenko I., Tsarev A., Briva A., Mendez G., Napolitano L., Teig M., Rodriguez G.E., Ben-Jacob T., Potestio C., Eng T., Mahanes D., Khanna A., Duggal A., Nananmori M., Lois M., Karamchandani K., Bealer C., Barefield C., Terry D., Fivecoat P., Idowu O., Cata J., Clesi T., Peterson J., Hatton K., Dhaliwal J., Mueller D., Tao J., Eltorai A.S., Pastores S.M., Remor N., Salazar J., Barkas D., Joffe A., Barnes C., Sona C., Schallom M., Short J., Lorenzo J., Von Der Osten I., Borkowska M., Demarre L., Pleitinckx V., Xing C., Debue A.-S., Goller S., Larina E., Labeau, S. O., Blackwood, B., Brett, S. J., Deschepper, M., Francois, G., Honore, P. M., Khanna, A. K., Williams, G., Blot, S. I., Ribas, A. M., Telleria, V. M., Nogueira, P. C., Nafees, K. M. K., Reyes, A. G., Jensen, H. I., Adipa, F. E., Agoston, Z., Hashemian, S. M., Lee, S. -M., Abillama, F. F., Nor, B. M., Mazlan, M. Z., Sanchez-Hurtado, L., De lange, D., Ilesanmi, R. E., Ffarcsi, M. H., Hernandez, A. M., Schefold, J. C., Besbes, L. O., Minope, J. T. S., Rostello, O. F., Bartoli, J. R., Nocheretti, M. G., Escalante, R. G., Loudet, C. I., Gonzalez, A. L., Alvarez, G. A., Campos, P. A., Fonseca, I. P., Alvarez, G. M., Bascary, C. A., del Valle Gimenez, G., Bertoletti, F. P., Bonsignore, P. J. M., Fernandez, M. A., Leslie, G. D., Mclucas, A., Jacquet, L. -M., de Almeida, A. O., Jorge, S. A., Schmidt, R. C., Garcia, P. C., Ronchini, A. L. V., Manap, N. B. A., Laizner, A. M., Mcquirter, M., Kampayana, B. S., Sepulveda, M. I., Zamorano, M. J. F., Zhao, R. H., Hu, L. P., Jiao, Q. F., Wang, H. Y., Xia, C. J., Insu, L., Zhu, J. Y., Zhu, J. F., Huang, R. F., Wang, L. L., Song, J. H., Liu, X. M., Li, Z. S., Li, L. C., Zeng, J. M., Hu, X. C., Wang, R. X., Tak, P. S., Ho, S. W., Jiang, Q. X., Huang, L. P., Liu, X. L., Jiang, J. H., Gong, Y. Y., Lei, D. H., Bi, A. P., Zhao, H. M., Cao, Z. Q., Wu, S. F., Tian, X. F., Feng, Z. X., Liu, X. Z., Jiang, Z. X., Wang, G. X., Hu, R. L., Li, X. Q., Yu, Z. J., Yang, Y. X., Gama, L. M. S., Hernandez, J. S., Ochoa, M. -E., Reyes, A. J. G., Filipovic-Grcic, I., Vukovic, A., Pecenkovic, S., Suput, A., Radivojevic, R. C., Culjak, H., Adam, V. N., Pedersen, K. R., Kjaergard, I. E., Kodal, A. M., Hansen, T. C. B., Pedersen, A. S. B., Thomsen, T. D., Frandsen, T. M., Bliksted, I. A., Tamayo, L. M., Tutillo, D. R. M., Hurtado, C. V., Garcia, M. F., Kutimets, M., Lofqvist, C., Sakki, J. -K., Valta, M. A., Plantefeve, G., Deserts, M. D., Gunther, S. C., Timsit, J. -F., Farkas, J. -C., Bosl, K., Schuppel, S., Stubner, A., Osei, I. P., Kusi-Appiah, A. -C., Yakubu, Y. H., Patsiou, E. -C., Stalika, K. M. M., Enamorado, J. E., Jonasdottir, R. J., Lestari, M. I., Finn, D. O. C. R., Mcpherson, S., Ghioldi, D. M., Bruno, A. V., Maggiore, S. M., Volta, C. A., Taibi, M. R., Tranello, F. P., Giusti, G. D., Martin, M. A., Correia, M. C., Kim, J. H., Kim, K. C., Bae, J. -M., Park, S. Y., Park, T. S., Lee, H. B., Kim, S. C., Chee, H. K., Huh, J. W., Sim, Y. S., Ahn, J. -J., Kang, B. J., Lee, W. -Y., Lee, S. J., Feghaly, M. E., Belkhair, W. A., Tababa, O. W. E., Alkhumsi, S. I. R., Alshrif, A. I., Aboufray, A. A., Triki, A. R., Zahra, H. B., Al-Alawi, M. M. S., Ghula, M. A. A., Bahrin, L. K. K., Deva, S. R., Rahim, A. H. A., Hassan, W. N. W., Ismail, W. N. W., Ali, M. N., Khoo, T. M., Samat, N. M., Tong, J. M. G., Adib, N. A. N., Nor, M. B. M., Sulaiman, S. R., Foong, K. W., Hua, N. P., Zermeno, J. M., Nava, C. L. L., Nandyelly, S. J. R., Sanchez-Hurtado, L. A., Nava, L. P. A., Herrera, J. G., de Anda, G. F. V., Namendys-Silva, S. A., Romero-Gonzalez, J. P., Sosa, M. A., de Molina Serrano, J. I. R., Iburrigarro, S. R., Padilla, N. R. C., Pineda, A. A. V., Villafuerte, M. V. E., Herrera, M. O. G., Subedi, N. B., Pathak, S. D., Vermeijden, J. W., Gerritsen, R. T., Fijen, J. -W., Adejumo, P. O., Sankey, B. J., Olsen, B. F., Jensen, K. D., Johansen, B. F., Finnstrom, I. J., Skorstad, E. M., Lunde, G. A., Akselsen, G. R., Monstad, K. R., Hogvall, L., Malmin, S. K., Andersen, M. H., Hargott, R. F., de Jesus Ortiz, A., Cabral, D. M. B., Rivas, J. C., Moreira, M. L., Ellazar, C. G., Cerezo, F. D., Palo, J. E., Aperocho, C. A. J., Figueiredo, M. F., Pinheiro, C. M., Rita, C. S., Feranandes, A. M., Pinto, V. M. V., Bispo, B. M., Lima, A., Alsheikhly, A. S., Guran, C. T., Filipescu, D. C., Scutariu, M. A., Ebaid, M. S., Velickovic, D., Rajkovic, M., Stanojevic, M., Turcan, A., Lancaricova, D., Yeni, N. P., Syed, M. R., Navarro, J. A., De Pablo, A. M., Llinas, A. A., Lajara, M. A. G., Nieto, M. V., Pena, J. M. G., Gorgolas, M. C., Isasi, M. A., Salva-Costa, V., Garzon-Tovar, C., Olivares, P. G., de Ceballos, J. P. G., Polo, A. B. C., del Mar Diaz Salcedo, M., Alvarez, J. D., Arcas, M. L. B., Gonzalez, J. I. T., de la Ventana, A. B. S., Calleja, P. L. -A., Alvarez, R. G., Zamora, P. S., Guerrero, A. O., Barreiro, E. M., Sanchez, L. C., Diaz, M. G., Muriel, D. S., Alonso, H. F., Fernandez, A. W., Pinan, I. S., Albaiceta, G. M., Fernandez, M. C. I., Abos, F. J. S., Chueca, R. M., Aguirre, L. G., Manosa, S. C., Luque, C. P., Losilla, M. R., Fores, M. T., del Rosario Villar Redondo, M., Arteta Arteta, D. S., Sanchez, M. A. H., Espinosa, C. P., Reyes, L. M., Domenech, L. C., Guillen, C. V., Alvarez, J. T., del Cotillo, M., Barrueco-Francioni, J. E., Conde, B. B., Blanco, M. P. S., Blasco, M. L., Clement, A. I., Sanz, L. C., Gonzalez, I. A., Cano, A. E., Nunez, C. R., Fernadez, I. L., Fernandez, A. A. M., Boedjawan, N. N., Jansson, E. B., Malvemyr, A. -S., Lof, G., Spangfors, M., Lagerhall, C., Akerman, E., Hellkvist, V. H., Larsson, I. -M., Jong, M. L., Hsu, M. Y., Chang, S. C., Mebazaa, M. S., Elhechmi, Y. Z., Kuscu, O. O., Dal, H. C., Calili, D. K., Izdes, S., Gumus, A., Tasdemir, B., Kagnici, A., Ay, S. A., Balbay, A. O., Ozserezli, B., Senturk, E., Serin, S. O., Gul, F., Cinel, I., Undar, H. N., Bayraktar, Y. S., Celik, J. B., Tokur, M. E., Aydin, D. T., Yildiz, I., Ozcan, B., Akdag, D., Unlu, N., Reyes, P. E., Ahmad, F. K. E., Smiley, K. A., Miller, M. T., Antonio, M. G. S., Qawasmeh, K. A., Shawish, S. A., Groba, C. B., Raj, A. S., Ei, P. P., Legorburo, M. S., Welters, I. D., Mcmullen, J., Mcdonnell, A., Rose, B. O., Delgado, C. C., Mccann, N., Turner, S. J., Rodriguez, G. E., Eltorai, A. S., Pastores, S. M., Demarre, L., and Debue, A. -S.
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Male ,Original ,medicine.medical_treatment ,artificial ,Critical Care and Intensive Care Medicine ,Medical and Health Sciences ,Pressure ulcer ,law.invention ,Decubitus epidemiology ,ICU ,Morbidity ,Mortality ,Outcome ,Pressure injury ,Risk factors ,Adult ,Aged ,Hospital Mortality ,Humans ,Patient Discharge ,Prevalence ,Risk Factors ,Intensive Care Units ,Respiration, Artificial ,0302 clinical medicine ,decubitus epidemiology ,pressure injury ,pressure ulcer ,outcome ,risk factors ,morbidity ,mortality ,law ,Medicine and Health Sciences ,adults ,Medicine ,Simplified Acute Physiology Score ,icu ,ziekenhuissterfte ,Immunodeficiency ,intensive care ,European Society of Intensive Care Medicine (ESICM) Trials Group Collaborators ,mannen ,volwassenen ,COST ,Intensive care unit ,STATE ,ULCERS ,Underweight ,medicine.symptom ,Life Sciences & Biomedicine ,Human ,medicine.medical_specialty ,risicofactoren ,Decubitus epidemiology, ICU, Pressure injury, Pressure ulcer, Outcome, Risk factors, Morbidity, Mortality ,pressure injuries ,Intensive Care Unit ,prevalentie ,NO ,1117 Public Health and Health Services ,DecubICUs Study Team ,03 medical and health sciences ,Critical Care Medicine ,Anesthesiology ,General & Internal Medicine ,Health Sciences ,ouderen ,Mechanical ventilation ,Science & Technology ,business.industry ,decubitus ,Risk Factor ,030208 emergency & critical care medicine ,1103 Clinical Sciences ,Odds ratio ,medicine.disease ,Emergency & Critical Care Medicine ,Confidence interval ,030228 respiratory system ,Emergency medicine ,kunstmatige ademhaling ,RISK-FACTORS ,business ,respiration - Abstract
Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347, Funder: Flemish Society for Critical Care Nurses, Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score < 19, ICU stay > 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat.
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- 2021
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7. The Association Between Body Mass Index, Frailty and Long-Term Clinical Outcomes in Hospitalized Older Adults
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Vida Rastegar, Rohini Meka, Khalid Sawalha, Mihaela S. Stefan, Maura Brennan, and Prarthna V. Bhardwaj
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Male ,medicine.medical_specialty ,Frail Elderly ,030204 cardiovascular system & hematology ,Overweight ,Body Mass Index ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Secondary analysis ,Internal medicine ,medicine ,Humans ,Prospective Studies ,030212 general & internal medicine ,Prospective cohort study ,Wasting ,Aged ,Aged, 80 and over ,Frailty ,business.industry ,Confounding ,General Medicine ,Hospitalization ,Cross-Sectional Studies ,Treatment Outcome ,Female ,Risk of death ,medicine.symptom ,Underweight ,business ,human activities ,Body mass index - Abstract
While frailty is thought to be a wasting disorder, there is scarce data regarding the association between frailty and body mass index (BMI). The aim of this study was to determine the relationship between BMI, frailty, and mortality among hospitalized older adults.This is a secondary analysis of a prospective cohort study of patients aged ≥65 years admitted to a tertiary center between 2014 and 2016. Frailty was assessed by Reported Edmonton Frailty Scale (REFS) and categorized as: not frail, vulnerable/mild frail, and moderate/severe frail. BMI (kg/m2) was categorized as: underweight (18.5), normal (18.5-24.9), overweight (25.0- 29.9), or obese (≥ 30.0). Primary outcome was all-cause one-year mortality.Among 769 patients included in the study, 55.4% were frail. There was no statistically significant association between frailty categories and levels of BMI. Frail patients had a higher risk of death than non-frail after adjusting for confounders [HR: 1.98, 95% CI (1.46, 2.70) for mild frail and HR 2.03, 95% CI (1.43, 2.87) for moderate/severe frail]. Compared with normal weight patients, those who were overweight had a survival advantage if they were non-frail [HR 0.55, 95% CI (0.31, 0.96)] or vulnerable/mild frail [HR 0.65, 95% CI (0.43, 0.97)] but not if they were moderate/severe frail. There were no other statistically significant differences in survival by BMI and frailty categories.We did not find a relationship between BMI and frailty among hospitalized older adults. Overweight patients had a survival advantage if they were non-frail or vulnerable. There is need for further longitudinal studies assessing the interaction between frailty and BMI in older adults.
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- 2021
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8. Sleep Medicine Health-Care Worker Concerns About COVID-19: An Early Pandemic Survey
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Karin G. Johnson, Indira Gurubhagavatula, Shannon S. Sullivan, and Vida Rastegar
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Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,medicine.medical_treatment ,Polysomnography ,Critical Care and Intensive Care Medicine ,Sleep medicine ,COVID-19 Testing ,Physicians ,Surveys and Questionnaires ,Positive airway pressure ,Health care ,Pandemic ,medicine ,Humans ,Continuous positive airway pressure ,Pandemics ,Personal protective equipment ,Original Research ,Air filter ,medicine.diagnostic_test ,SARS-CoV-2 ,business.industry ,COVID-19 ,General Medicine ,United States ,Family medicine ,Sleep ,business - Abstract
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has produced numerous safety concerns for sleep medicine patients and health-care workers, especially related to the use of aerosol-generating positive airway pressure devices. Differences between physician and sleep technologist concerns with regard to viral exposure and mitigation strategies may inform protocols to ensure safety and promote patient and health-care worker resilience and retention. METHODS: An anonymous online survey aimed at sleep medicine practitioners was active from April 29, 2020 to May 8, 2020. RESULTS: We obtained 379 responses, including from 75 physicians and 283 technologists. The proportion of all the respondents who were extremely/very concerned about the following: exposing patients (70.8%), exposing technologists (81.7%), and droplet (82.7%) and airborne (81.6%) transmission from CPAP. The proportion of respondents who felt that aerosol precautions were extremely/very important varied by scenario: always needed (45.6%); only with CPAP (25.9%); and needed, despite negative viral testing (67.0%). More technologists versus physicians rated the following as extremely/very important: testing parents for COVID-19 (71.2 vs 47.5%; P = .01), high-efficiency particulate air filters (75.1 vs 61.8%; P = .02), and extremely/very concerned about shared-ventilation systems (65.9 vs 51.5%; shared ventilation P = .041). The respondents in northeastern and western United States were more concerned about the availability of COVID-19 testing than were those in other regions of the United States. Among the total number of respondents, 68.0% expected a ≥ 50% drop in patients willing to have in-laboratory testing, with greatest drops anticipated in northeastern United States. CONCLUSIONS: Sleep health-care workers reported high levels of concern about exposure to COVID-19. Physicians and technologists generally showed high concordance with regard to the need for mitigation strategies, but the respondents differed widely with regard to which strategies were necessary.
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- 2021
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9. Ensemble Deep Learning Using Faster R-CNN and Genetic Algorithm for Vehicle Detection in UAV Images
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Seyed Mohammad Jalal Rastegar Fatemi, Zeinab Ghasemi Darehnaei, Seyed Mostafa Mirhassani, and Majid Fouladian
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business.industry ,Computer science ,Deep learning ,Vehicle detection ,Genetic algorithm ,Pattern recognition ,Artificial intelligence ,Electrical and Electronic Engineering ,business ,Transfer of learning ,Ensemble learning ,Computer Science Applications ,Theoretical Computer Science - Abstract
In this paper, an ensemble deep transfer learning (EDTL) based on Faster R-CNN is introduced for the vehicle detection in UAV images. We perform a weighted-averaging ensemble transfer learning comp...
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- 2021
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10. PET-guided gamma knife radiosurgery in brain tumors: a brief review
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Maziar Azar, Najme Karamzade-Ziarati, Alireza Mohsenian Sisakht, Khodakaram Rastegar, Farid Kazemi Gazik, and Pejman Shahrokhi
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medicine.medical_specialty ,Modality (human–computer interaction) ,medicine.diagnostic_test ,business.industry ,medicine.medical_treatment ,Magnetic resonance imaging ,Interventional radiology ,Radiosurgery ,Radiation therapy ,Functional imaging ,Positron emission tomography ,medicine ,Radiology, Nuclear Medicine and imaging ,Radiology ,business ,Radiation treatment planning - Abstract
This mini-review aims to survey the role of positron emission tomography (PET) imaging as an imaging modality for therapy planning before gamma knife radiosurgery (GKRS) in patients experiencing brain tumors. A comprehensive literature search of published papers in the PubMed/MEDLINE database regarding pre-GKRS PET imaging was carried out. We have included all human studies in this field. Although the routine imaging for GKRS guiding is magnetic resonance imaging (MRI), functional imaging modalities including PET have a complementary role for lesion targeting. The mostly used radiotracers for PET-guided GKRS are 2-[18F]fluoro-2-deoxy-D-glucose (2-[18F]FDG) and L-[methyl-11C]methionine ([11C]MET). Herein, we summarize the result of the studies which used 2-[18F]FDG or [11C]MET PET as a complementary imaging method for GKRS guiding. Finally, the results of these limited available studies are in favor of the crucial complementary role of PET imaging in addition to MRI, in terms of lesion targeting and consequently, therapy outcome. Although not enough studies were available on the role of PET imaging for guiding GKRS, it would seem that the integration of PET data into GKRS treatment planning may represent an important step toward further developments in radiosurgery, especially GKRS. Yet, there is no definite indication for pre-GKRS PET imaging; however, most of the studies used PET imaging when there were lesions with an ill-defined border in MRI. It seems that [11C]MET PET might provide more accurate imaging data than 2-[18F]FDG for lesion targeting; however, studies with head to head comparison of these two modalities are needed.
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- 2021
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11. A safe space for local knowledge sharing in sustainable tourism: an organisational justice perspective
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Raymond Rastegar and Lisa Ruhanen
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Value (ethics) ,Knowledge management ,business.industry ,05 social sciences ,Geography, Planning and Development ,Perspective (graphical) ,Space (commercial competition) ,Knowledge sharing ,Tourism, Leisure and Hospitality Management ,0502 economics and business ,Applying knowledge ,050211 marketing ,Business ,050212 sport, leisure & tourism ,Sustainable tourism ,Tourism ,Organisational justice - Abstract
Knowledge is recognised as having more value when it is created and shared amongst stakeholders. Applying knowledge management principles can assist tourism organisations in achieving a competitive...
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- 2021
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12. Evaluating the activity of salivary enzymes as stress biomarkers under psychological stress and their relationship with rumination and personality traits
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Robab Daghagheleh, Shahdokht Rastegar, Seed Mohamad Shafiea, Javad Fathi, Ramin Tavakoli, Bobby Branson, Mohammad Aberomand, Mansoor Khaledi, Hamed Afkhami, and Hoshang Roshanmehr
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Male ,medicine.medical_specialty ,Students, Medical ,Health, Toxicology and Mutagenesis ,Acid Phosphatase ,Emotions ,Clinical Biochemistry ,Beta-glucuronidase ,030204 cardiovascular system & hematology ,medicine.disease_cause ,Biochemistry ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Psychological stress ,Big Five personality traits ,Saliva ,Glucuronidase ,Cathepsin ,biology ,business.industry ,Acid phosphatase ,Cathepsins ,Rumination, Cognitive ,Endocrinology ,Stress biomarkers ,030220 oncology & carcinogenesis ,Rumination ,biology.protein ,Female ,Salivary enzymes ,medicine.symptom ,business ,Biomarkers ,Stress, Psychological ,Personality - Abstract
Salivary enzymes are used as non-invasive biomarkers to assess the activity of the sympathetic-adrenal-medullary system. The aim of this study was to evaluated levels of acid phosphatase, beta-glucuronidase and cathepsin salivary enzymes under psychological tension and their connection with rumination and personality traits.A total of 60 medical students, who wanted to participate in the final exam, two months before the exam, the inventory emotional control questionnaire and the neo-short form were completed. Saliva samples were taken in both the basal conditions and under exam stress.A significant difference was found between the mean of level salivary enzymes in rest and under exam stress. Also, we found a positive and significant correlation between the activity of salivary enzymes and personality traits such as neuroticism, extraversion, agreeableness and rumination (The results of this study show, levels of salivary enzymes may increase in individuals with traits of neuroticism, extraversion, agreeableness and rumination through response to psychological stressors.
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- 2021
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13. 'I’m a Survivor': Perceptions of Chronic Disease and Survivorship Among Individuals in Long-Term Remission from Opioid Use Disorder
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Joseph A. Carrese, Michael D. Sklar, Christine M. Gunn, Darius A. Rastegar, Geetanjali Chander, and Jarratt D. Pytell
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Adult ,medicine.medical_specialty ,media_common.quotation_subject ,Explanatory model ,Survivorship ,01 natural sciences ,methadone ,03 medical and health sciences ,0302 clinical medicine ,Survivorship curve ,Internal Medicine ,medicine ,Opiate Substitution Treatment ,Humans ,030212 general & internal medicine ,Survivors ,0101 mathematics ,Psychiatry ,media_common ,Original Research ,business.industry ,Addiction ,010102 general mathematics ,Opioid use disorder ,opioid use disorder ,Abstinence ,Middle Aged ,medicine.disease ,buprenorphine ,Opioid-Related Disorders ,Analgesics, Opioid ,Cross-Sectional Studies ,Cohort ,Chronic Disease ,business ,Methadone ,medicine.drug ,Buprenorphine - Abstract
Background While opioid use disorder (OUD) is prevalent, little is known about what patients with OUD in sustained remission think about the chronic disease model of OUD and their perspectives of the cause, course, and ongoing treatment needs of their OUD. Objective To (1) examine patient perceptions of the chronic disease model of addiction and disease identity and (2) use an explanatory model framework to explore how these perceptions inform ongoing treatment needs and help maintain abstinence. Design Qualitative study of a cross-sectional cohort of patients with OUD in long-term sustained remission currently receiving methadone or buprenorphine. Participants completed a single in-depth, semi-structured individual interview. Participants Twenty adults were recruited from two opioid treatment programs and two office-based opioid treatment programs in Baltimore, MD. Half of the participants were Black, had a median (IQR) age of 46.5 (43–52) years and the median (IQR) time since the last non-prescribed opioid was 12 (8–15) years. Approach Hybrid deductive-inductive thematic analysis of the transcribed interviews. Key Results Some participants described a chronic OUD disease identity where they continue to live with OUD. Participants who maintain an OUD identity describe inherent traits or predetermination of developing OUD. Maintaining a disease identity helps them remain vigilant against returning to drug use. Others described a post-OUD/survivor identity where they no longer felt they had OUD, but the experience remains. Each perspective informed attitudes about continued treatment with methadone or buprenorphine and strategies to remain in remission. Conclusions The identity that people with OUD in sustained remission maintain was the lens through which they viewed other aspects of their OUD including cause and ongoing treatment needs. An alternative, post-OUD/survivorship model emerged or was accepted by participants who did not identify as currently having OUD. Understanding patient perspectives of OUD identity might improve patient-centered care and improve outcomes. Supplementary Information The online version contains supplementary material available at 10.1007/s11606-021-06925-z.
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- 2021
14. Comparison of the Effect of Adipocyte-derived Stem Cells and Curcumin Nanoliposomes with Phenytoin on Open Cutaneous Wound Healing in Rats
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Sahar Heidari, Alireza Partoazar, Ameneh Alikarami, Tayebeh Rastegar, Mohammad Mirdoraghi, Nasrin Takzaree, and Mohammadreza Ebrahimzade
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Male ,Curcumin ,Angiogenesis ,Endocrinology, Diabetes and Metabolism ,Cell ,Adipose tissue ,Pharmacology ,Mesenchymal Stem Cell Transplantation ,Flow cytometry ,chemistry.chemical_compound ,Adipocyte ,medicine ,Animals ,Immunology and Allergy ,Rats, Wistar ,Cells, Cultured ,Voltage-Gated Sodium Channel Blockers ,Wound Healing ,medicine.diagnostic_test ,business.industry ,Anti-Inflammatory Agents, Non-Steroidal ,Mesenchymal Stem Cells ,Combined Modality Therapy ,Rats ,Treatment Outcome ,medicine.anatomical_structure ,chemistry ,Phenytoin ,Liposomes ,Nanoparticles ,Stem cell ,Wound healing ,business - Abstract
Background: Reducing the healing time of wounds can decrease the patient's immobility time and their medical costs, leading a faster return of the patients to daily work. Objective: The aim of the present study is to compare the effect of adipose-derived stem cells and curcumin- containing liposomal nanoparticles with phenytoin on wound healing. Methods: After anesthesia of the rats, open skin ulcers were made by a bistoury blade. Subsequently, stem cells were removed from the adipose tissue of the upper border of the epididymis. The originality of stem cells was then confirmed by the flow cytometry. The fusion method was used to prepare the liposome; and also, nanoliposomal particles were confirmed by using the DLS microscope. The percentage of recovery and the cell count was measured with IMAGEJ. The expression of genes was assessed by PCR. The number of fibroblasts was counted by immunohistochemistry techniques. The amount of collagen was determined by Tri-chromosome staining, and the number of capillaries was enumerated by H & E staining. Results: The expression of the TGF-β1 gene, vascular number, wound healing rate and the number of fibroblasts increased significantly in adipose tissue-derived stem cells and curcumin nanoliposome groups (p Conclusion: Based on the results of our research, adipose tissue-derived stem cells and curcumin nanoliposomes can heal wounds efficiently.
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- 2021
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15. Comparison of anger control and its relationship with mental health in trauma patients after incident
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Forough Pazhuheian, Shahdokht Rastegar, and Mahnaz Yadollahi
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medicine.medical_specialty ,business.industry ,Medicine ,business ,Psychiatry ,Mental health ,Anger Control - Abstract
Introduction: Anger, as a major factor in traffic accidents and beatings, plays an important role in the mortality of the people. According to the statistics from the World Health Organization, beatings and traffic accidents are predominant causes of trauma incidents. An increase in violence, as a risk factor, is effective in traumatic and mental health injuries and has an important role in creating incidents. This study aimed to compare anger control and its relationship with mental health in trauma patients after incidents. Method: This cross-sectional study was conducted in Shahid Rajaee Hospital affiliated to Shiraz University of Medical Sciences, Shiraz, Iran, on 214 patients who were selected based on systematic randomization using the available sampling method. Novaco's Anger Control Questionnaire, as a standard questionnaire, and General Mental Health Questionnaire were used for comparing the anger control and assessing the mental health, respectively. The collected data were analyzed in SPSS software (Version. 18) using the independent t-test and Pearson correlation coefficient. A p-value less than 0.05 was considered statistically significant. Results: According to the results of demographic characteristics, the mean age of the patients was 32.65±8.318 years. Out of 214 patients who participated in this study, 120 and 94 cases were injured by beatings and traffic accidents, respectively. The results of statistical analysis indicated a significant relationship between mental health and anger control in these subjects. Conclusion: The injury caused by an increase in violence in traffic accidents and beatings is a dangerous risk factor lurking in the population, which leads to irreparable damages to the country's economy. These findings showed a significant relationship between anger control and mental health in the two groups of traffic accidents and beatings. Therefore, the development of anger control training packages can reduce damages caused by anger in people.
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- 2021
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16. Nutrition, genetic variation and male fertility
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Konrad Samsel, Matineh Rastegar Panah, Bibiana García-Bailo, Judith Dockray, Patricia Grace-Farfaglia, Keith Jarvi, Ahmed El-Sohemy, and Shelley M Vanderhout
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0301 basic medicine ,Infertility ,030219 obstetrics & reproductive medicine ,business.industry ,Urology ,media_common.quotation_subject ,Physiology ,Fertility ,Review Article on Genetic Causes and Management of Male Infertility ,Biology ,Micronutrient ,medicine.disease ,Nutrigenetics ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Nutrient ,Nutrigenomics ,Reproductive Medicine ,Genetic variation ,medicine ,business ,Reproductive health ,media_common - Abstract
Infertility affects nearly 50 million couples worldwide, with 40−50% of cases having a male factor component. It is well established that nutritional status impacts reproductive development, health and function, although the exact mechanisms have not been fully elucidated. Genetic variation that affects nutrient metabolism may impact fertility through nutrigenetic mechanisms. This review summarizes current knowledge on the role of several dietary components (vitamins A, B(12), C, D, E, folate, betaine, choline, calcium, iron, caffeine, fiber, sugar, dietary fat, and gluten) in male reproductive health. Evidence of gene-nutrient interactions and their potential effect on fertility is also examined. Understanding the relationship between genetic variation, nutrition and male fertility is key to developing personalized, DNA-based dietary recommendations to enhance the fertility of men who have difficulty conceiving.
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- 2021
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17. The Convergent Procedure: A Unique Multidisciplinary Hybrid Treatment of Atrial Fibrillation
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Hassan Rastegar, Lawrence S. Lee, Frederick C. Cobey, Agnieszka Trzcinka, Gregory S. Couper, Christopher Madias, and Munther K. Homoud
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medicine.medical_specialty ,Time Factors ,medicine.medical_treatment ,Catheter ablation ,030204 cardiovascular system & hematology ,03 medical and health sciences ,0302 clinical medicine ,Recurrence ,030202 anesthesiology ,Left atrial ,Multidisciplinary approach ,Atrial Fibrillation ,Occlusion ,Humans ,Medicine ,cardiovascular diseases ,Perioperative management ,business.industry ,Atrial fibrillation ,Ablation ,medicine.disease ,Surgery ,Treatment Outcome ,Anesthesiology and Pain Medicine ,Catheter Ablation ,cardiovascular system ,Cardiology and Cardiovascular Medicine ,business ,Surgical ablation - Abstract
The convergent procedure is a hybrid ablation treatment for atrial fibrillation. It is increasingly considered as a management option for patients with persistent and long-standing atrial fibrillation. It consists of surgical ablation of the posterior left atrium through a minimally invasive closed-chest approach followed by endocardial catheter ablation. It is increasingly performed with concurrent epicardial occlusion of the left atrial appendage with a video-assisted thoracoscopic technique to physically and electrically isolate the left atrial appendage. This article provides an overview of a multidisciplinary approach to the convergent procedure, with concurrent thoracoscopic closure of the left atrial appendage, with an emphasis on perioperative management at a single institution. It provides a literature review of procedural outcomes, current data limitations, and future considerations.
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- 2021
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18. Thoracic Spinal Schwannoma Simulating Lumbar Sciatica-like pain: A Case Report and Review of Literature
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Ebrahim Ameri, Farzam Mokarami, Hasan Ghandhari, and Khodakaram Rastegar
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Sciatica ,medicine.medical_specialty ,Lumbar ,business.industry ,Orthopedic surgery ,medicine ,Schwannoma ,medicine.symptom ,medicine.disease ,business ,Surgery - Abstract
A 45-year-old man presented to our facility with predominantly Sciatica-like leg pain and lower extremity motor weakness, who did not get relief despite undergoing two consecutive lumbar surgeries for suspected lumbar disc herniation. Medical history, physical findings, and a magnetic resonance imaging scan revealed thoracic cord tumor as the underlying disease. Our patient had complete resolution of his back and leg pain following surgical resection of the thoracic Schwannoma. Thoracic cord compression often results in diffuse pain and myelopathic symptoms caused by the irritation of ascending spinothalamic tract, which causes a vague and burning pain that should be differentiated from nerve root lesions and can be the first presentation of a thoracic cord lesion.
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- 2021
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19. Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting
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Mohammad Mohammadi, Mousa Afrasiabi, Mohammad Rastegar, and Shahabodin Afrasiabi
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Wind power ,business.industry ,Computer science ,Deep learning ,020208 electrical & electronic engineering ,Probabilistic logic ,02 engineering and technology ,computer.software_genre ,Convolutional neural network ,Wind speed ,Computer Science Applications ,Recurrent neural network ,Control and Systems Engineering ,0202 electrical engineering, electronic engineering, information engineering ,Artificial intelligence ,Data mining ,Electrical and Electronic Engineering ,Time series ,business ,computer ,Information Systems - Abstract
One of the critical challenges in wind energy development is the uncertainty quantification. Prior knowledge about the wind speed in look-ahead times in shape of probabilistic information plays a pivotal role in the optimal operation and planning in the electrical networks. In this article, we design a deep learning-based approach to characterize the probability density function (PDF) of the wind for the next hours. The proposed method is directly applicable to raw data and directly constructs PDFs and enhances the level of accuracy and reliability as well as computational efficiency. Furthermore, we utilize the convolutional neural network to enhance learning spatial features. To provide a better understanding of temporal features, a recurrent neural network, called gated recurrent unit, is utilized. To directly construct PDFs, a gradient-based loss function is proposed, and the training procedure is modified. The effectiveness and superiority of the proposed probabilistic wind speed forecasting are verified by two actual datasets, i.e., London, England, and Shiraz, Iran, and comprehensive numerical results validate the performance of the proposed approach in comparison with several state-of-the-art and previously investigated approaches in terms of sharpness, accuracy, and reliability.
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- 2021
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20. An inventory-location optimization model for equitable influenza vaccine distribution in developing countries during the COVID-19 pandemic
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Hassan Mina, Madjid Tavana, Mehdi Rastegar, and Afshin Meraj
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Healthcare equitability ,medicine.medical_specialty ,Influenza vaccine ,Health Personnel ,030231 tropical medicine ,Developing country ,Distribution (economics) ,medicine.disease_cause ,Article ,Cripple ,03 medical and health sciences ,Vaccine supply chain ,Inventory-location problem ,0302 clinical medicine ,Pregnancy ,Environmental health ,Influenza, Human ,Pandemic ,Epidemiology ,medicine ,Humans ,030212 general & internal medicine ,Developing Countries ,Aged ,Coronavirus ,Aged, 80 and over ,Mixed-integer linear programming ,General Veterinary ,General Immunology and Microbiology ,business.industry ,Vaccination ,Public Health, Environmental and Occupational Health ,COVID-19 ,virus diseases ,respiratory tract diseases ,Infectious Diseases ,Equipment and Supplies ,Influenza Vaccines ,Molecular Medicine ,Female ,Public Health ,Business ,Influenza virus - Abstract
Highlights • The addition of flu could cripple the health care system during the COVID-19 pandemic. • Fears of coronavirus have intensified the shortage of flu vaccine in developing countries. • We present an optimization model for equitable flu vaccine distribution. • The model utilizes an equitable objective function to distribute vaccines to high-risk people. • We present a case study to exhibit efficacy and demonstrate the model’s applicability., The addition of other respiratory illnesses such as flu could cripple the healthcare system during the coronavirus disease 2019 (COVID-19) pandemic. An annual seasonal influenza vaccine is the best way to help protect against flu. Fears of coronavirus have intensified the shortage of influenza shots in developing countries that hope to vaccinate many populations to reduce stress on their health services. We present an inventory-location mixed-integer linear programming model for equitable influenza vaccine distribution in developing countries during the pandemic. The proposed model utilizes an equitable objective function to distribute vaccines to critical healthcare providers and first responders, elderly, pregnant women, and those with underlying health conditions. We present a case study in a developing country to exhibit efficacy and demonstrate the optimization model’s applicability.
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- 2021
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21. A Novel Classification Strategy to Distinguish Five Levels of Pain Using the EEG Signal Features
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Vahid Abootalebi, Reza Boostani, K. Rastegar, and T. Nezam
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Artifact (error) ,medicine.diagnostic_test ,business.industry ,0206 medical engineering ,Feature extraction ,Decision tree ,Pattern recognition ,02 engineering and technology ,Electroencephalography ,020601 biomedical engineering ,Independent component analysis ,k-nearest neighbors algorithm ,Human-Computer Interaction ,Support vector machine ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Artificial intelligence ,Entropy (energy dispersal) ,business ,030217 neurology & neurosurgery ,Software ,Mathematics - Abstract
Research studies have tried to extract pain-related features from electroencephalogram(EEG) signals for quantitative measuring of pain. In this study, we go one step further to measure three/five levels of pain by proposing efficient EEG processing steps in conjunction with a new classification strategy. 24 healthy subjects voluntarily performed the cold pressor test while their EEGs were recorded. First, the EEGs were decomposed by independent component analysis and the artifact sources were removed. Among the remained sources, pain-related sources, were chosen according to an adopted information criterion. Next, the EEGs were reconstructed by projecting back the selected sources. Then, grand average brain maps of train subjects were estimated for each pain level over the Alpha(8-12 Hz) and Delta(0.5-4 Hz) bands. By tracing the brain maps' changes over different pain levels, the structure of the proposed decision tree was formed. To enrich the feature set, we also extracted other EEG features. For each decision node, a specific subset of features was selected by sequential forward selection method. Considering k -nearest neighbor(KNN) as the decision marker,the classification accuracies for the three and five pain levels was determined ${{80\pm 5}}$ 80 ± 5 and ${{60\pm 5}}$ 60 ± 5 percent, respectively while by choosing support vector machine(SVM), the results improved up to ${{83\pm 5}}$ 83 ± 5 and ${{62\pm 6}}$ 62 ± 6 percent,respectively.
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- 2021
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22. How combined aerobic training and pomegranate juice intake affect lipid profile? A clinical trial in men with type 2 diabetes
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Rastegar Hoseini, Sasan Nemati, and Vahid Tadibi
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medicine.medical_specialty ,Physiology ,030209 endocrinology & metabolism ,Physical Therapy, Sports Therapy and Rehabilitation ,Type 2 diabetes ,030204 cardiovascular system & hematology ,Affect (psychology) ,03 medical and health sciences ,pomegranate ,0302 clinical medicine ,Internal medicine ,medicine ,Aerobic exercise ,QP1-981 ,Orthopedics and Sports Medicine ,medicine.diagnostic_test ,exercise ,business.industry ,medicine.disease ,Clinical trial ,lipid profile ,diabetes mellitus ,Sports medicine ,business ,Lipid profile ,RC1200-1245 ,anthropometric indices - Abstract
Study aim: This study aimed to investigate the effect of aerobic training (AT) and pomegranate juice intake (PJI) on the lipid profile in men with type 2 diabetes. Materials and methods: This randomized clinical trial was performed in middle-aged men (40–50 years old) with type 2 diabetes. Participants were randomly assigned into four groups: AT + PJI (n = 9); AT (n = 10); PJI (n = 9), and control (C) (n = 10). The AT program consisted of 60-75% of HRMax, 40-60 min/day, three days/wk for eight weeks. Participants in the PJI group consumed 240 ml of pomegranate juice (sugar or additive-free) daily for eight weeks. Lipid profile was measured at the beginning and end of the study. The data were analyzed through paired t-test and one-way analysis of variance, as well as Tukey’s post hoc test at the signification level of P Results: AT + PJI, PJI, and AT groups demonstrated significant improvements in lipid profile compared to the C group. The results show that the AT + PJI group had significantly lower TC and LDL (p = 0.001 and p = 0.002, respectively), and significantly higher HDL (p = 0.023) compared with the PJI group. There was no significant difference between AT and PJI groups. Also, TG was significantly lower in AT+ PJI compare to the C group. Conclusions: AT + PJI is more effective than AT or PJI alone in the improvement of lipid profile in patients with type 2 diabetes.
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- 2021
23. SSFP fMRI at 3 tesla: Efficiency of polar acquisition-reconstruction technique
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Abbas Nasiraei-Moghaddam, Banafshe Shafieizargar, Vahid Malekian, and Fatemeh Rastegar
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Adult ,Computer science ,Dynamic imaging ,Biomedical Engineering ,Biophysics ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Image Processing, Computer-Assisted ,Humans ,Radiology, Nuclear Medicine and imaging ,Computer vision ,Sensitivity (control systems) ,Image resolution ,Retrospective Studies ,Computer. Automation ,Fourier Analysis ,Pixel ,business.industry ,Brain ,Steady-state free precession imaging ,Magnetic Resonance Imaging ,Temporal resolution ,Female ,Artificial intelligence ,Spatial frequency ,business ,Algorithms ,030217 neurology & neurosurgery ,Interpolation - Abstract
SSFP-based fMRI techniques, known for their high specificity and low geometrical distortion, look promising for high-resolution brain mapping. Nevertheless, they suffer from lack of speed and sensitivity, leading them to be exploited mostly in high-field scanners. Radial acquisition can help with these inefficiencies through better tSNR and more effective coverage of the spatial frequencies. Here, we present a SSFP-fMRI approach and experimentally investigate it at 3 T scanners using radial readout for acquisition. In particular, the visual activity is mapped through three bSSFP techniques: 1- Cartesian, 2- Radial with re-gridding reconstruction, 3- Radial with Polar Fourier Transform (PFT) reconstruction. In the PFT technique streaking artifacts, generated at high acceleration rates by re-gridding reconstruction, are avoided and pixel size in the final framework is retrospectively selectable. General agreement, but better tSNR of Radial reading, was first confirmed for these techniques in detection of neural activities at 2 × 2 mm2 in-plane resolution for all 28 subjects,. Next the outcome of the PFT algorithm with 1 × 1 mm2 pixel size was compared to images reconstructed by re-gridding (from the same raw data) with the identical pixel size through interpolation. The localization of the activity showed improvement in PFT over interpolation both qualitatively (i.e., well-fitting in gray-matter) and quantitatively (i.e., higher z-scores and tSNR). The proposed technique can therefore be considered as a remedy for lack of speed and sensitivity in SSFP-based fMRI, in conventional field strengths. The proposed approach is particularly useful in task-based studies when we concentrate on a ROI considerably smaller than FOV, without sacrificing spatial resolution.
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- 2020
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24. New Techniques of Olecranon Tension Band Fixation: Biomechanical Evaluation Using Finite Element Method
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Hamid Namazi, Ehsan Shafiee, Mohammad Reza Rastegar, and Mohammad Taghi Karimi
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Orthodontics ,Fixation (surgical) ,medicine.anatomical_structure ,business.industry ,Olecranon ,Medicine ,Surgery ,Tension band ,business ,Finite element method - Published
- 2020
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25. A Study of Occupational Exposure to Patient\'s Blood and Saliva among Dental Students of Shahid Sadoughi Yazd University in 2016-2017
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Farzane Vaziri, Fahimeh Rashidi Maybodi, Nasrin Faal Rastegar, Elahe Mansoori, and Mohammad Hasan Akhavan-Karbassi
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Saliva ,medicine.medical_specialty ,saliva ,lcsh:R5-920 ,business.industry ,education ,occupational exposure ,Shahid ,blood ,Family medicine ,Medicine ,Occupational exposure ,business ,lcsh:Medicine (General) - Abstract
Introduction: Occupational exposure in dentistry is defined as exposing the skin or mucosa to blood, saliva, or infectious discharge of the patient. Dentists are in contact with sharp and high-speed rotary devices that increase the chance of occupational exposure. The purpose of this study was to determine the occupational exposure to blood and saliva of patients in dental students of Shahid Sadoughi University of Medical Sciencesin 2016-2017. Methods: A descriptive analytical study was conducted on 70 senior dental students at the School of Dentistry of Shahid Sadoughi University of Medical Sciences in Yazd, Iran. A standard questionnaire was used for collecting the data. After collecting the data, they were coded and entered into the SPSS 20 software and analyzed using descriptive statistics, Chi-square and Fisher exact test. Results: Based on the results, 49 (70%) of 70 students have been suffered from sharp devices. The skin or mucosa of the 62 students (88.6%) infected with saliva or other body fluids of the patients. Only 15.7% of the injuries were reported with sharp objects and 14.3% of mucosal-skin contamination with blood or saliva. Conclusion: Occupational exposure in dentistry environment is a common problem and many cases, which are related to these subjects were not reported. In order to reduce the risks of this, infection control issues should be taught to dental students. Therefore, occupational exposure management, follow-up centers and guidelines should be established for dental schools.
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- 2020
26. Stochastic distributed microgrid energy management based on over‐relaxed alternative direction method of multipliers
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Mohammad Rastegar, Shahabodin Afrasiabi, Mohammad Mohammadi, and Mousa Afrasiabi
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Mathematical optimization ,Wind power ,Renewable Energy, Sustainability and the Environment ,business.industry ,Energy management ,Computer science ,020209 energy ,020208 electrical & electronic engineering ,Autonomous agent ,02 engineering and technology ,Scheduling (computing) ,Distributed generation ,Convergence (routing) ,0202 electrical engineering, electronic engineering, information engineering ,Electricity market ,Microgrid ,business - Abstract
This study aims to design a stochastic distributed energy management framework taking into account the information privacy of autonomous agents. To develop this framework, first, the application of a scenario-based method on the predicted probability density function (PDF) is suggested to deal with uncertainties of the low-scale loads, renewable generations, i.e. wind and photovoltaic generations, and electricity market prices. Then, an alternative direction method of multipliers (ADMM) based method, namely over-relaxed ADMM, is presented to optimise the operational set points considering each agent benefits and technical constraints. In this framework, the agents participate in scheduling programs without sharing influential information and corresponding historical data. The presented framework is tested on a realistic small-scale microgrid (MG) system and real historical data. The performance and efficiency are verified by comparison of the proposed over-relaxed ADMM method application with the application of standard ADMM and analytic targeting cascading in terms of accuracy and convergence speed. Furthermore, higher accuracy and lower computational complexity of predictive PDF-based scenario generation techniques in distributed MG energy management are verified by comparison with distributed energy management based on predefined PDF and historical data.
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- 2020
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27. Synergistic Effect of Tazobactam on Amikacin MIC in Acinetobacter baumannii Isolated from Burn Patients in Tehran, Iran
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Farank Alinejad, Leila Azimi, Abdolaziz Rastegar Lari, Reza Alaghehbandan, and Sahel Valadan Tahbaz
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Acinetobacter baumannii ,0301 basic medicine ,Tazobactam ,030106 microbiology ,Pharmaceutical Science ,Microbial Sensitivity Tests ,Iran ,Microbiology ,03 medical and health sciences ,Minimum inhibitory concentration ,0302 clinical medicine ,Antibiotic resistance ,Drug Resistance, Multiple, Bacterial ,polycyclic compounds ,Humans ,Medicine ,030212 general & internal medicine ,Amikacin ,biology ,business.industry ,Aminoglycoside ,Drug Synergism ,biochemical phenomena, metabolism, and nutrition ,bacterial infections and mycoses ,biology.organism_classification ,Anti-Bacterial Agents ,Multiple drug resistance ,Genes, Bacterial ,Efflux ,Burns ,business ,Acinetobacter Infections ,Biotechnology ,medicine.drug - Abstract
Background:Burn is still an important global public health challenge. Wound colonization of antibiotic resistant bacteria such as Acinetobacter baumannii can lead to high morbidity and mortality in burn patients. The aim of this study was to evaluate the inhibitory effect of tazobactam on efflux pump, which can cause aminoglycoside resistant in A. baumannii isolated from burn patients.Methods:In this study, 47 aminoglycoside resistant A. baumannii spp. were obtained from burn patients, admitted to the Shahid Motahari Burns Hospital in Tehran, Iran, during June-August 2018. The inhibitory effect of tazobactam against adeB such as efflux pump was evaluated by Minimum Inhibitory Concentration (MIC) determination of amikacin alone and in combination with tazobactam. Fractional Inhibitory Concentration index (FIC) was used to determine the efficacy of tazobactam/ amikacin combination. Further, semi-quantitative Real- Time PCR was performed to quantify the expression rates of the adeB gene before and after addition of tazobactam/amikacin.Results:The MIC values were significantly reduced when a combined amikacin and tazobactam was utilized. The most common interaction observed was synergistic (78.2%), followed by additive effects (21.8%), as per FIC results. The adeB mRNA expression levels were found to be downregulated in 60.7% of isolates treated with tazobactam.Conclusions:Tazobactam can have impact on resistance to aminoglycoside by inhibiting efflux pump. Thus, the combination of tazobactam with amikacin can be used as an alternative treatment approach in multidrug resistant A. baumannii infections.
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- 2020
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28. Radiomics for classification of bone mineral loss
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Mohammad Vaziri, Hamid Abdollahi, Sajjad Rastegar, Habib Zaidi, N. Abdalvand, Younes Qasempour, Isaac Shiri, and M.R. Akhash
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musculoskeletal diseases ,Male ,Osteoporosis ,Feature selection ,Machine learning ,computer.software_genre ,DIAGNOSIS ,ddc:616.0757 ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Radiomics ,TEXTURE ANALYSIS ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,HEAD ,Aged ,Retrospective Studies ,Bone mineral ,Aged, 80 and over ,Minerals ,Radiological and Ultrasound Technology ,Receiver operating characteristic ,business.industry ,General Medicine ,Middle Aged ,medicine.disease ,Classification ,Random forest ,Bone mineral densitometry (BMD) ,Osteopenia ,Bone Diseases, Metabolic ,030220 oncology & carcinogenesis ,Principal component analysis ,Female ,Artificial intelligence ,business ,computer - Abstract
Purpose The purpose of this study was to develop predictive models to classify osteoporosis, osteopenia and normal patients using radiomics and machine learning approaches. Materials and methods A total of 147 patients were included in this retrospective single-center study. There were 12 men and 135 women with a mean age of 56.88 ± 10.6 (SD) years (range: 28–87 years). For each patient, seven regions including four lumbar and three femoral including trochanteric, intertrochanteric and neck were segmented on bone mineral densitometry images and 54 texture features were extracted from the regions. The performance of four feature selection methods, including classifier attribute evaluation (CLAE), one rule attribute evaluation (ORAE), gain ratio attribute evaluation (GRAE) and principal components analysis (PRCA) along with four classification methods, including random forest (RF), random committee (RC), K-nearest neighbor (KN) and logit-boost (LB) were evaluated. Four classification categories, including osteopenia vs. normal, osteoporosis vs. normal, osteopenia vs. osteoporosis and osteoporosis + osteopenia vs. osteoporosis were examined for the defined seven regions. The classification model performances were evaluated using the area under the receiver operator characteristic curve (AUC). Results The AUC values ranged from 0.50 to 0.78. The combination of methods RF + CLAE, RF + ORAE and RC + ORAE yielded highest performance (AUC = 0.78) in discriminating between osteoporosis and normal state in the trochanteric region. The combinations of RF + PRCA and LB + PRCA had the highest performance (AUC = 0.76) in discriminating between osteoporosis and normal state in the neck region. Conclusion The machine learning radiomic approach can be considered as a new method for bone mineral deficiency disease classification using bone mineral densitometry image features.
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- 2020
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29. Bayesian updating of solar resource data for risk mitigation in project finance
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Afshin Firouzi, Mohammad Rastegar, Majid Zandi, and Hossein Jadidi
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Operations research ,Renewable Energy, Sustainability and the Environment ,Computer science ,business.industry ,CVAR ,020209 energy ,Photovoltaic system ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Debt service coverage ratio ,Expected shortfall ,Solar Resource ,0202 electrical engineering, electronic engineering, information engineering ,Project finance ,General Materials Science ,Cash flow ,0210 nano-technology ,business ,Risk management - Abstract
Project finance is based on the future cash flow of projects. Ensuring that the expected revenue of projects will cover the debt and equity obligations issued by lenders and shareholders is crucial. The uncertainty of solar resources is among the highest, and it causes fluctuations in the future cash flow of solar photovoltaic (PV) projects. To reduce this uncertainty, several methods such as measure-correlate-predict (MCP) analysis, have been applied. However, MCP is an oversimplified linear regression method that disregards the difference between the parameters and conditions of different hours throughout a day; hence, it cannot provide accurate and reliable results. Here, we propose a methodology based on Bayesian updating, which is a robust probabilistic approach to reduce the aforementioned uncertainty. We use the Metropolis-Hastings algorithm and four years of onsite measurements to obtain the posterior distribution of hourly solar resource data. Then, we demonstrate that our proposed method improves the reliability of indices of project finance deals by applying it to a 10 MW solar PV project. To facilitate decision-making in determining the leverage for a project finance deal, particularly in the case of material default, we introduce conditional value-at-risk (CVaR) for the distribution of the debt service coverage ratio (DSCR). We calculate DSCR in three cases: applying MCP and the Bayesian updating method for risk mitigation and without using any risk reduction approach. The results demonstrate that higher financial leverages can be selected by choosing a rational threshold amount for CVaR that corresponds to the boundary of material default.
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- 2020
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30. Stochastic Charging Optimization of V2G-Capable PEVs: A Comprehensive Model for Battery Aging and Customer Service Quality
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Alejandro Palomino, Masood Parvania, Mohammad Mohammadi, Mohammad Rastegar, and Mehrdad Ebrahimi
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business.product_category ,Job shop scheduling ,Computer science ,020209 energy ,020208 electrical & electronic engineering ,Energy Engineering and Power Technology ,Transportation ,Vehicle-to-grid ,02 engineering and technology ,Depth of discharge ,Stochastic programming ,Reliability engineering ,Scheduling (computing) ,State of charge ,Automotive Engineering ,Electric vehicle ,0202 electrical engineering, electronic engineering, information engineering ,Stochastic optimization ,Electrical and Electronic Engineering ,business - Abstract
This article proposes a new stochastic day-ahead residential charging model for a vehicle-to-grid (V2G)-capable plug-in electric vehicle (PEV). The aim is to minimize the expected customer’s charging cost, including energy cost and battery aging cost while satisfying the customer service quality constraints. The proposed model integrates a detailed PEV lithium-ion battery aging model as a function of average battery’s cell surface temperature, average current rate, average state of charge (SoC), and depth of discharge (DoD). Customer service quality constraints are mathematically modeled using Kano’s dissatisfaction model as an exponential function of the customer’s waiting time and charging level. Given the uncertain behavior of a PEV owner, the charging scheduling problem is formulated as a two-stage stochastic programming problem. In summary, this article contributes to the technical literature by developing a two-stage stochastic optimization framework for optimal charge scheduling of PEVs, which integrate a comprehensive battery aging cost model, and models customer dissatisfaction as Kano’s model-based function of the customer’s waiting time and charging level. Comparing the results in various deterministic, Monte Carlo simulation-based and the two-stage stochastic studies show that the proposed scheme can lead to low dissatisfaction for the customer, without a significant increment in costs.
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- 2020
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31. Rule Caching in SDN-Enabled Base Stations Supporting Massive IoT Devices With Bursty Traffic
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Vahid Shah-Mansouri, Seyed Hamed Rastegar, and Aliazam Abbasfar
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020203 distributed computing ,Linear programming ,Computer Networks and Communications ,business.industry ,Network packet ,Computer science ,020206 networking & telecommunications ,02 engineering and technology ,Computer Science Applications ,Set (abstract data type) ,Base station ,Hardware and Architecture ,Control theory ,Signal Processing ,0202 electrical engineering, electronic engineering, information engineering ,Table (database) ,Cache ,business ,Information Systems ,Computer network ,Integer (computer science) - Abstract
Software-defined networking (SDN) is recognized as a promising solution for the efficient management of numerous devices in the Internet of Things (IoT). To appropriately forward the incoming packets, SDN-enabled devices request the controller for traffic rules resulting in a significant delay. To avoid frequent communication with the controller and reducing the delay, these devices cache the rules as match action pairs in flow tables for a certain amount of time. This is referred to as rule caching. Flow tables are made of ternary content-addressable memories (TCAMs) capable of high-speed parallel lookup. Nonetheless, due to the high expenses and power consumption of TCAMs, flow tables have limited capacity and cannot store rules of all the users. Therefore, the assignment of limited flow tables is a challenge in IoT networks with a large number of users. In this article, we consider an SDN-enabled base station serving a set of users in a cell and is equipped with a finite-capacity flow table. We assume users’ traffic obeys a bursty ON–OFF model and formulate the efficient allocation of flow table entries to users over time. It results in a mixed-integer nonlinear program. We introduce a change of variables that turns the problem into an integer linear program. This is still intractable and cannot support problems with large dimensions such as massive IoT networks. To handle its complexity, we design a time-efficient procedure with close-to-optimal performance. Finally, numerical results demonstrate the significant improvement achieved by the proposed scheme.
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- 2020
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32. Implementation of a Protocol Using the 5-Item Brief Alcohol Withdrawal Scale for Treatment of Severe Alcohol Withdrawal in Intensive Care Units
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Edward S. Chen, Darius A. Rastegar, and Andrew S. Jarrell
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Protocol (science) ,medicine.medical_specialty ,business.industry ,030208 emergency & critical care medicine ,Alcohol ,Length of Stay ,Alcohol withdrawal scale ,Critical Care and Intensive Care Medicine ,Substance Withdrawal Syndrome ,Alcoholism ,Benzodiazepines ,Intensive Care Units ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,chemistry ,Intensive care ,Emergency medicine ,Humans ,Hypnotics and Sedatives ,Medicine ,030212 general & internal medicine ,business ,Retrospective Studies - Abstract
Background: There is variation in the treatment of patients with severe alcohol withdrawal and a need for effective protocols. The purpose of this study was to evaluate the implementation of a symptom-triggered benzodiazepine protocol using the 5-item Brief Alcohol Withdrawal Scale (BAWS) for treatment of alcohol withdrawal in intensive care units (ICUs). Methods: This retrospective study included admissions to ICUs of 2 hospitals over 6 months who had an alcohol withdrawal protocol ordered and experienced severe withdrawal. Records were reviewed to collect demographic data, benzodiazepine exposure, duration of treatment, and withdrawal severity. Results: The protocol was ordered and implemented in 279 admissions; 48 (17.9%) had severe withdrawal defined as a BAWS of 6 or more. The majority of the 48 patients were from the emergency department (79.2%); mean hospital length of stay was 11.2 days and mean ICU stay 6.6 days; 31.3% required mechanical ventilation. A little more than half were treated only with the protocol (53.2%); 25.0% received additional benzodiazepines, 20.8% dexmedetomidine, 10.4% propofol, 25.0% antipsychotics and 2.0% phenobarbital. Conclusion: Among ICU patients treated for alcohol withdrawal with a symptom-triggered benzodiazepine protocol using a novel 5-item scale, most did not develop severe withdrawal, and of those who did, approximately half were treated with the protocol alone.
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- 2020
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33. Comparison of UVA Protection Factor Measurement Protocols
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Saman Ahmad Nasrollahi, Kamand Hedayat, Manouchehr Dadgarnejad, alireza Firooz, and Hossein Rastegar
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030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,business.industry ,030220 oncology & carcinogenesis ,Medicine ,sense organs ,Dermatology ,business ,Reliability engineering - Abstract
Background In the past, it was taught that UVA wavelengths (320- 400nm) only plays a major role in skin aging but recently the scientific researches also show that UVA cause cancerous keratinocyte cells in deep layer of the epidermis. Therefore, the protective ability of the product against UVA is important in addition to protection against UVB rays. The UVA protective factor (UVA-PF) is used to evaluate the effectiveness of sunscreen products against UVA rays. This study aims to review and compare all outstanding protocols in the field of UVA-PF measurement and finally the introduction of the best method of measuring UVA-PF based on the further benefits. Materials and methods Four standards including ISO 24443 (AS/NZS 2604: 2012 recommended approach), CEN 2006, FDA 2007 and FDA 2011 are selected. Results In order to measure UVA-PF with in vivo method, two standards of CEN 2006 and FDA 2007 recommended persistent pigment darkening (PPD) method. Although the general principle of both is similar, there are some differences in detail. For in vitro measurement of UVA-PF, CEN and FDA 2011 standards use critical wavelengths. FDA 2007 introduces the modified Diffey fraction, and ISO 24443 standard meets the UVA-PF measurement in a manner that is consistent with PPD. Conclusion Finally, this review discussed the comparison of all in vitro and in vivo UVA-PF measurement standards and provided information in the form of texts and tables to move towards the creation of an integrated standard. Since in vitro methods of UVA-PF measurement are not reproducible due to differences in test conditions, it may be concluded that the in vivo PPD method is a more suitable option.
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- 2020
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34. An observational study of the management practices and outcomes of patients with new onset atrial fibrillation in non-cardiothoracic surgeries
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Kirti Joshi, Peter K. Lindenauer, Anis John Kadado, Vida Rastegar, Tara Lagu, Mihaela Tiru, Mihaela S. Stefan, and Kanval Shah
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Adult ,Male ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,030204 cardiovascular system & hematology ,Critical Care and Intensive Care Medicine ,Asymptomatic ,03 medical and health sciences ,Postoperative Complications ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Atrial Fibrillation ,Humans ,Medicine ,Sinus rhythm ,Management practices ,Aged ,Retrospective Studies ,Aged, 80 and over ,business.industry ,Atrial fibrillation ,Retrospective cohort study ,Middle Aged ,medicine.disease ,Patient Discharge ,Clinical trial ,030228 respiratory system ,Female ,Observational study ,Median Heart Rate ,medicine.symptom ,Cardiology and Cardiovascular Medicine ,business - Abstract
Background and objective Limited data exist on characteristics and management of patients with postoperative atrial fibrillation (POAF) after noncardiothoracic surgeries and on the relationship between symptoms and outcomes. We sought to describe clinical features, in-hospital practices and outcomes in patients with new POAF by the presence or absence of clinical symptoms. Methods Retrospective cohort study of adults with POAF in one tertiary center. Results Among the 99 patients who fulfilled the eligibility criteria, median age was 75 years (IQR 64–83) and 57.6% were male. Only thirty percent of patients with POAF were symptomatic. Rate control/conversion to sinus rhythm was achieved in ≤ 4 h in 56% of the patients and in 80% was maintained for ≥ 24 h. Anticoagulation was prescribed in 50% of those discharged in AF; the CHADS2-VASc score was not associated with anticoagulation prescribed. One third of patients were readmitted and half of them were in AF. Asymptomatic patients had lower median heart rate than symptomatic patients but no other clinical characteristics, or outcomes were different. Conclusions Most patients with POAF were asymptomatic but their presentation or outcomes were similar with symptomatic patients. One in four discharged patients was prescribed anticoagulation and the CHADS2-VASC score was not associated with this decision. These findings have important implications for practice and future research. There is a need to better delineate the risk associated with transient versus persistent POAF, symptomatic versus asymptomatic POAF, as well as for clinical trials to determine optimal strategies to improve their outcomes.
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- 2020
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35. Deep learning architecture for direct probability density prediction of small‐scale solar generation
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Mohammad Mohammadi, Mohammad Rastegar, Shahabodin Afrasiabi, and Mousa Afrasiabi
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Computer science ,business.industry ,020209 energy ,Deep learning ,020208 electrical & electronic engineering ,Monte Carlo method ,Kernel density estimation ,Photovoltaic system ,Energy Engineering and Power Technology ,Probability density function ,02 engineering and technology ,Convolutional neural network ,Computer engineering ,Control and Systems Engineering ,0202 electrical engineering, electronic engineering, information engineering ,Mixture distribution ,Artificial intelligence ,Probabilistic forecasting ,Electrical and Electronic Engineering ,business - Abstract
With the increasing penetration of photovoltaic (PV) systems, the problems posed by the inherent intermittency of small-scale PVs are becoming more severe. To address this issue, it is critical to involve the uncertainty of PV generation in the look-ahead periods in a comprehensive framework. To this end, a direct deep learning architecture for probabilistic forecasting of solar generation is proposed in this paper. An end-to-end deep learning architecture as a novel mixture density network (MDN) is designed based on the combination of a convolutional neural network and a gated recurrent unit. Furthermore, a new loss function and training process based on adversarial training is proposed to enhance the accuracy in direct contracting of the probability density function. Then, several deep and shallow networks are implemented, and the results are compared with the proposed architecture. The effectiveness of the proposed MDN in providing complete statistical information is verified through comparison with Monte Carlo dropout, non-parametric kernel density estimation, and the proposed MDN without adversarial training.
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- 2020
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36. Does One Size Fit All? The Impact of Liquidity Requirements on Bank's Insolvency: Evidence from Iranian Listed Banks
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Mohammad Talebi, Mohammad Rastegar, Vahideh Sotoudeh Mollashahi, and Ramin Mojab
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Insolvency ,Financial stability ,Liquidity shock ,National level ,Business ,Monetary economics ,Basel III ,Market liquidity - Abstract
According to the Basel III regulatory framework, uniform minimum liquidity requirements have been imposed on all types of banks. Using an agent-based model of a banking system, we investigate the effects of liquidity requirements on banks' insolvency under two policy experiments in one of which the minimum liquidity requirements are applied uniformly and in the other differentially across banks. The model introduces a banking system with 12 heterogeneous banks that must also comply with two liquidity requirements while performing their daily activities of taking deposits and making loans. The model is applied to the Iranian banking system. Results illustrate that because banks respond differently to liquidity requirements, applying one size minimum liquidity requirements to all kinds of banks, strengthens the likelihood of a liquidity shock turns into banks' insolvency and could increase banking system instability. Thus our findings highlight that to achieve financial stability at the national level, policymakers should revise the current one size fits all approach when designing liquidity requirements.
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- 2020
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37. Radiographic Image Radiomics Feature Reproducibility: A Preliminary Study on the Impact of Field Size
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Isaac Shiri, Mostafa Rezaei, Hamid Abdollahi, Ehsan Saeedi, Younes Qasempour, Sajjad Rastegar, and Jalal Beigi
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Diagnostic Imaging ,Reproducibility ,Radiological and Ultrasound Technology ,Phantoms, Imaging ,Intraclass correlation ,business.industry ,Coefficient of variation ,Radiography ,Reproducibility of Results ,Imaging phantom ,Decision Support Techniques ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Region of interest ,Feature (computer vision) ,030220 oncology & carcinogenesis ,Image Interpretation, Computer-Assisted ,Field size ,Data Mining ,Humans ,Radiology, Nuclear Medicine and imaging ,business ,Mathematics ,Biomedical engineering - Abstract
Rationale and Objectives Radiomics is an approach to quantifying diseases. Recently, several studies have indicated that radiomics features are vulnerable against imaging parameters. The aim of this study is to assess how radiomics features change with radiographic field sizes, positions in the field size, and mAs. Materials and Methods A large and small wood phantom and a cotton phantom were prepared and imaged in different field sizes, mAs, and placement in the radiographic field size. A region of interest was drawn on the image features, and twenty two features were extracted. Radiomics feature reproducibility was obtained based on coefficient of variation, Bland-Altman analysis, and intraclass correlation coefficient. Features with coefficient of variation ≤ 5%, intraclass correlation coefficient ≤ 90%, and 1% ≤ U/LRL ≤30% were introduced as robust features. U/LRL is upper/lower reproducibility limits in Bland-Altman. Results For all field sizes and all phantoms, features including Difference Variance, Inverse Different Moment, Fraction, Long Run Emphasis, Run Length Non Uniformity, and Short Run Emphasis were found as highly reproducible features. For change in the position of field size, Fraction was the most reproducible in all field sizes and all phantoms. On the mAs change, we found that feature, Short Run Emphasis field 15 × 15 for small wood phantom, and Correlation in all field sizes for Cotton are the most reproducible features. Conclusion We demonstrated that radiomics features are strongly vulnerable against radiographic field size, positions in the radiation field, mAs, and phantom materials, and reproducibility analyses should be performed before each radiomics study. Moreover, these changing parameters should be considered, and their effects should be minimized in future radiomics studies.
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- 2020
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38. Probabilistic Optimal Dynamic Planning of Onsite Solar Generation for Residential Energy Hubs
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Soroush Senemar, Ali Seifi, Mohammad Rastegar, and Masood Parvania
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Flexibility (engineering) ,021103 operations research ,Computer Networks and Communications ,Computer science ,business.industry ,Photovoltaic system ,0211 other engineering and technologies ,Probabilistic logic ,Time horizon ,02 engineering and technology ,Thermal energy storage ,Computer Science Applications ,Reliability engineering ,Cogeneration ,Control and Systems Engineering ,Electricity ,Electrical and Electronic Engineering ,business ,Energy (signal processing) ,Information Systems - Abstract
Solar photovoltaic (PV) systems are becoming an indispensable source of energy for residential customers and are contributing to increase the sustainability of energy systems. However, practical methods that can aid customers to make informed decision on installing the PV systems considering their integration with the residential energy system have remained scarce. This paper proposes a probabilistic dynamic planning model for optimizing decisions on installing PV systems for a residential energy hub. In addition to the PV system, residential energy hub integrates combined heat and power (CHP) units and gas boilers to supply the heat and electrical demands. The proposed planning model minimizes the investment cost of PV systems along with the energy cost of energy hub that includes possible PV energy curtailment cost over the planning horizon. The proposed problem also integrates a heat storage system and responsiveness of the heat and electrical demands to the respective gas and electricity prices as additional flexibility to increase the benefits of PV systems for the customers. Two-point estimate method is used to model the uncertainty of PV generation. The proposed method is implemented on a test energy hub for a 10-year planning period to demonstrate features of the proposed method.
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- 2020
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39. Intraoperative Provocative Testing in Patients with Obstructive Hypertrophic Cardiomyopathy Undergoing Septal Myectomy
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Ali Bedair Elsayes, Ingrid Moreno-Duarte, Martin S. Maron, Alaa Basura, Hassan Rastegar, Farhad Zahedi, Ethan J. Rowin, and Frederick C. Cobey
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Male ,medicine.medical_specialty ,Provocation test ,030204 cardiovascular system & hematology ,Ventricular Outflow Obstruction ,030218 nuclear medicine & medical imaging ,law.invention ,Intraoperative Period ,03 medical and health sciences ,0302 clinical medicine ,law ,Internal medicine ,Mitral valve ,Heart Septum ,Cardiopulmonary bypass ,Humans ,Medicine ,Ventricular outflow tract ,Radiology, Nuclear Medicine and imaging ,Cardiac Surgical Procedures ,Retrospective Studies ,Mitral regurgitation ,business.industry ,Hypertrophic cardiomyopathy ,Cardiomyopathy, Hypertrophic ,Middle Aged ,Prognosis ,medicine.disease ,Septal myectomy ,medicine.anatomical_structure ,Cardiology ,Female ,Dobutamine ,Cardiology and Cardiovascular Medicine ,business ,Echocardiography, Transesophageal ,medicine.drug - Abstract
Resolution of left ventricular outflow tract (LVOT) obstruction predicts symptom relief postmyectomy. Intraoperative measurement of LVOT gradients thus is essential for surgical guidance. We hypothesized that (1) hypertrophic cardiomyopathy patients have lower LVOT gradients when measured intraoperatively with transesophageal echocardiography (TEE) compared with preoperative measurements with transthoracic echocardiography (TTE) and that (2) intraoperative provocative testing can help evaluate the adequacy of surgical resection.We compared resting LVOT gradients on preoperative TTE to intraoperative TEE. We also compared intraoperative resting and provoked gradients pre- and postresection. Either isoproterenol 10 μg/kg/min or dobutamine 20 μg/kg/min was used. Patients with provoked LVOT gradients30 mm Hg were considered for further resection based on LVOT/mitral valve morphology and clinical comorbidities.Of 315 patients identified, 293 patients were included in the analysis. There was a statistically significant difference between preoperative TTE and intraoperative TEE resting LVOT gradients (60.9 ± 39.4 mm Hg vs 42.0 ± 30.5 mm Hg, P .0001). Out of 197 patients who had significant resting obstruction preoperatively, 82 (41.6%) demonstrated mild or no dynamic obstruction under general anesthesia. Provocative testing with both isoproterenol and dobutamine increased peak gradients (116.8 ± 33 mm Hg isoproterenol vs 107.5 ± 33 mm Hg dobutamine, P = .03). Post-cardiopulmonary bypass, seven patients (2.3%) had LVOT gradients 30 mm Hg at rest, while 63 patients (21.5%) had residual gradients30 mm Hg only with provocation. Elevated gradients, persistent systolic anterior motion of the mitral valve with near contact, and/or significant mitral regurgitation with provocative testing resulted in return to cardiopulmonary bypass in 41 patients (14%).Resting intraoperative TEE LVOT gradients are significantly lower than preoperative TTE gradients, with systolic anterior motion of the MV and outflow obstruction often not visualized after inducing general anesthesia. Intraoperative pharmacologic provocation can identify patients who may benefit from further surgical intervention, facilitating procedural success.
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- 2020
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40. Investigating Histopathologic the Synergistic Effect of Topical use of Mentha pulegium Essential Oil and Honey in Healing of Cutaneous Ulcers
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Mehrdad Goodarzi, Nasrin Takzaree, Tayebeh Rastegar, Shakiba Shahbabae, and Alireza Takzaree
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Pharmacology ,Phytochemistry ,integumentary system ,Traditional medicine ,business.industry ,honey ,RM1-950 ,Pharmacognosy ,law.invention ,Cutaneous ulcers ,synergistic effect ,Complementary and alternative medicine ,skin wound healing ,law ,RA1190-1270 ,Ethnobotany ,Toxicology. Poisons ,Pharmaceutics ,Medicine ,Therapeutics. Pharmacology ,Mentha pulegium ,mentha pulegium ,Medicinal plants ,business ,Essential oil - Abstract
Background: Open skin lesions cause many problems for the health and the economy of societies in recent years, importance and effectiveness of traditional and complementary medicine have been increased. Objective: So this study was performed to investigate the synergistic effect of topical use of Mentha pulegium essential oil and honey in healing of cutaneous ulcers in rats. Method: This experimental study was performed on 75 healthy wistar male rats. Under anesthesia, a 1.5 * 1.5 mm full thickness square wound was created. In the experimental groups, the surface of the wounds was covered once daily with peppermint, honey, a combination of them and phenytoin ointment. No treatments were performed on the wounds of the control group. For histological studies, using staining (H & E) wound surface and wound healing were evaluated. Data were analyzed by using one-way ANOVA with post hoc Tukey test and P < 0.05 was significant. Results: The results of microscopic study showed histological parameters in wounds bed in the experimental group were significantly different from the control group. Generally, rats treated with honey or mint, or the combination of them, had higher percentage of wound healing and less wound surface, than negative and positive controls groups (P
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- 2020
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41. Co-treatment of vitamin D supplementation and aerobic training improves memory deficit in ovariectomized rat
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Parvin Babaei, Zahra Hoseini, Arsalan Damirchi, and Rastegar Hoseini
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0301 basic medicine ,medicine.medical_specialty ,Ovariectomy ,03 medical and health sciences ,0302 clinical medicine ,Memory ,Physical Conditioning, Animal ,Internal medicine ,parasitic diseases ,medicine ,Vitamin D and neurology ,Animals ,Aerobic exercise ,Rats, Wistar ,Vitamin D ,Cognitive impairment ,Metabolic Syndrome ,Memory Disorders ,Vitamin d supplementation ,business.industry ,General Neuroscience ,General Medicine ,medicine.disease ,030104 developmental biology ,Endocrinology ,Dietary Supplements ,Ovariectomized rat ,Female ,Metabolic syndrome ,business ,030217 neurology & neurosurgery - Abstract
Objective: Metabolic syndrome (MetS) and insufficient vitamin D levels are globally increasing phenomena which are correlated with cognitive impairment. This study investigated the interactive effe...
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- 2020
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42. Robust Control of Islanded Microgrid Frequency Using Fractional-Order PID
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Shabnam Khosravi, Mohammad Taghi Hamidi Beheshti, and Hassan Rastegar
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Wind power ,Computer Networks and Communications ,business.industry ,Computer science ,020209 energy ,020208 electrical & electronic engineering ,Photovoltaic system ,Energy Engineering and Power Technology ,PID controller ,02 engineering and technology ,Power (physics) ,Computer Science::Systems and Control ,Control theory ,Signal Processing ,0202 electrical engineering, electronic engineering, information engineering ,Computer Vision and Pattern Recognition ,Diesel generator ,Microgrid ,Electrical and Electronic Engineering ,Robust control ,business - Abstract
In this paper, a robust fractional-order PID (FOPID) controller is proposed to regulate islanded microgrid (MG) frequency. The considered MG is composed of a photovoltaic system, a wind turbine generation, a diesel generator, a battery energy storage system, the control unit, and loads. Some challenges in islanded MGs such as unpredictable variation in output power of renewable energy sources and model uncertainties, affect the system performance and lead to frequency deviations from the nominal value. For designing the proposed robust controller, the wind power and solar radiation are considered as disturbance inputs. Also, uncertainties are assumed in the inertia constant and the load damping coefficient parameters of the system. The FOPID parameters are determined by minimizing some constraints that guarantee robust stability and robust performance of the system. The performance of the proposed FOPID controller is compared with those of the classic PID and H∞ controllers. The effectiveness of the controller is illustrated through appropriate simulations.
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- 2020
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43. Dye removal and disinfection in one reactor by non-pulsed high voltage current using iron, aluminum and copper electrodes
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Mohammad Rastegar, Seied Hossein Afzali, Esmaeel Salami Shahid, and Naser Talebbeydokhti
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Copper electrode ,Materials science ,chemistry ,Aluminium ,business.industry ,chemistry.chemical_element ,Optoelectronics ,High voltage ,Current (fluid) ,business - Published
- 2020
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44. Right Transaxillary Transcatheter Aortic Valve Replacement Using the 'Flip-n-Flex' Technique
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Masashi Kawabori, Frederick Y. Chen, Hassan Rastegar, Serena Lofftus, Frederick C. Cobey, Yong Zhan, and Andrew Weintraub
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Male ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Transcatheter aortic ,medicine.medical_treatment ,030204 cardiovascular system & hematology ,Transcatheter Aortic Valve Replacement ,03 medical and health sciences ,0302 clinical medicine ,Valve replacement ,Risk of mortality ,Humans ,Medicine ,Fluoroscopy ,Aged ,Retrospective Studies ,Aged, 80 and over ,medicine.diagnostic_test ,business.industry ,Retrospective cohort study ,Aortic Valve Stenosis ,New York Heart Association Functional Classification ,Surgery ,Axilla ,medicine.anatomical_structure ,030228 respiratory system ,Female ,Permanent pacemaker ,Cardiology and Cardiovascular Medicine ,business - Abstract
Background Right transaxillary transcatheter aortic valve replacement (TAx-TAVR) is rarely performed due to challenging vascular tortuosity and unfavorable implantation angles. We explored this procedure using the newer-generation balloon-expandable SAPIEN 3 (Edwards Lifesciences, Irvine, CA) valve and our novel “flip-n-flex” technique. The safety and effectiveness of the procedure and the learning curve of our early experiences were investigated. Methods The first 10 consecutive patients undergoing right TAx-TAVR performed at our center from June 2016 to May 2018 were included in the study. Patients’ preoperative characteristics, procedural outcomes, and clinical outcomes were studied. Intraoperative fluoroscopy times were also reviewed to analyze the procedural learning curve. Results The 10 patients were a mean age of 81.8 ± 8.7 years, and 5 patients (50%) were women. Mean Society of Thoracic Surgeons Predicted Risk of Mortality was 12.0% ± 9.5%. Procedural success was achieved in all cases without vascular complications. Paravalvular leak was absent or mild in all patients. Two patients (20%) required permanent pacemaker implantation. The median postoperative length of stay was 4 days (range, 2-13 days). The 30-day mortality was 0%. Mean transvalvular gradient improved from 38.4 ± 12.6 mm Hg to 9 ± 4.4 mm Hg postoperatively. New York Heart Association Functional Classification improved in all patients. The fluoroscopy time showed marked reduction from 44.1 ± 8.2 minutes to 17.4 ± 2.9 minutes with the use of the flip-n-flex technique. Conclusions Our early experience of right TAx-TAVR with the SAPIEN 3 valve demonstrated satisfactory outcomes and a quick learning as facilitated by the flip-n-flex technique. This could be a beneficial TAVR approach to suitable patients.
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- 2020
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45. Experimental investigation of the increasing thermal efficiency of an indirect water bath heater by use of thermosyphon heat pipe
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Saeed Rastegar, Nader Rahbar, Hadi Kargarsharifabad, and Mohammad Shafii Behshad
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Thermal efficiency ,Materials science ,Renewable Energy, Sustainability and the Environment ,business.industry ,working fluid ,lcsh:Mechanical engineering and machinery ,020209 energy ,Nuclear engineering ,High capacity ,heater ,filling ratio ,02 engineering and technology ,Heat pipe ,Filling ratio ,Natural gas ,thermosyphon heat pipe ,0202 electrical engineering, electronic engineering, information engineering ,Working fluid ,lcsh:TJ1-1570 ,Tube (fluid conveyance) ,Thermosiphon ,thermal efficiency ,business - Abstract
Natural gas must be preheated prior to pressure reduction in city gate stations. Indirect water bath heaters are employed in city gate stations for preheating, consume a considerable amount of natural gas for the process. This type of heater has a low efficiency therefore a significant amount of energy is wasted. Due to the high capacity of thermosyphon heat pipe, its utilization in city gate stations heater were investigated experimentally in this paper. For this purpose, a heater set-up was manufactured and its thermal efficiency was calculated. The thermosyphon heat pipe were then designed, manufactured, and utilized between the fire tube and the gas tube. Further the type of working fluid and the range of filling ratio were discussed and the most effective state was suggested. Moreover, the thermal efficiency of the heater in the presence of thermosyphon heat pipe was investigated. The obtained results showed that the thermal efficiency of the heater improved up to 13% with the addition of thermosyphon heat pipe. The most effective state of thermosyphon heat pipe was associated with the water as working fluid with 20% filling ratio in the front route and methanol as working fluid with 30% filling ratio in the back route of the fire tube.
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- 2020
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46. Health Care Becomes an Industry
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Darius A. Rastegar
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Economic growth ,media_common.quotation_subject ,Health Care Sector ,Health administration ,Reflections ,Consolidation (business) ,Nursing ,Health care ,Humans ,Industry ,Medicine ,Professional Autonomy ,Unlicensed assistive personnel ,Health policy ,Quality of Health Care ,media_common ,Primary Health Care ,business.industry ,International health ,Continuity of Patient Care ,United States ,Industrialisation ,Family Practice ,business ,Delivery of Health Care ,Autonomy - Abstract
The delivery of health care is in the process of "industrialization" in that it is undergoing changes in the organization of work which mirror those that began in other industries a century ago. This process is characterized by an increasing division of labor, standardization of roles and tasks, the rise of a managerial superstructure, and the degradation (or de-skilling) of work. The consolidation of the health care industry, the fragmentation of physician roles, and the increasing numbers of nonphysician clinicians will likely accelerate this process. Although these changes hold the promise of more efficient and effective health care, physicians should be concerned about the resultant loss of autonomy, disruption of continuity of care, and the potential erosion of professional values.
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- 2022
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47. An immune-based biomarker signature is associated with mortality in COVID-19 patients
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Michael S. Abers, Ottavia M. Delmonte, Emily E. Ricotta, Jonathan Fintzi, Danielle L. Fink, Adriana A. Almeida de Jesus, Kol A. Zarember, Sara Alehashemi, Vasileios Oikonomou, Jigar V. Desai, Scott W. Canna, Bita Shakoory, Kerry Dobbs, Luisa Imberti, Alessandra Sottini, Eugenia Quiros-Roldan, Francesco Castelli, Camillo Rossi, Duilio Brugnoni, Andrea Biondi, Laura Rachele Bettini, Mariella D’Angio’, Paolo Bonfanti, Riccardo Castagnoli, Daniela Montagna, Amelia Licari, Gian Luigi Marseglia, Emily F. Gliniewicz, Elana Shaw, Dana E. Kahle, Andre T. Rastegar, Michael Stack, Katherine Myint-Hpu, Susan L. Levinson, Mark J. DiNubile, Daniel W. Chertow, Peter D. Burbelo, Jeffrey I. Cohen, Katherine R. Calvo, John S. Tsang, NIAID COVID-19 Consortium, Helen C. Su, John I. Gallin, Douglas B. Kuhns, Raphaela Goldbach-Mansky, Michail S. Lionakis, Luigi D. Notarangelo, Abers, M, Delmonte, O, Ricotta, E, Fintzi, J, Fink, D, de Jesus, A, Zarember, K, Alehashemi, S, Oikonomou, V, Desai, J, Canna, S, Shakoory, B, Dobbs, K, Imberti, L, Sottini, A, Quiros-Roldan, E, Castelli, F, Rossi, C, Brugnoni, D, Biondi, A, Bettini, L, D'Angio', M, Bonfanti, P, Castagnoli, R, Montagna, D, Licari, A, Marseglia, G, Gliniewicz, E, Shaw, E, Kahle, D, Rastegar, A, Stack, M, Myint-Hpu, K, Levinson, S, Dinubile, M, Chertow, D, Burbelo, P, Cohen, J, Calvo, K, Tsang, J, Su, H, Gallin, J, Kuhns, D, Goldbach-Mansky, R, Lionakis, M, and Notarangelo, L
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Male ,0301 basic medicine ,Chemokine ,Azithromycin ,Chemokine CXCL9 ,Severity of Illness Index ,0302 clinical medicine ,Adrenal Cortex Hormones ,Medicine ,Enzyme Inhibitors ,Chemokine CCL2 ,Interleukin-15 ,biology ,Lactoferrin ,NF-kappa B ,General Medicine ,Middle Aged ,Prognosis ,Anti-Bacterial Agents ,Interleukin-10 ,Matrix Metalloproteinase 9 ,Receptors, Tumor Necrosis Factor, Type I ,030220 oncology & carcinogenesis ,Interferon Type I ,Cytokines ,Biomarker (medicine) ,CXCL9 ,Female ,Chemokines ,Research Article ,Hydroxychloroquine ,Adult ,Immunology ,CCL2 ,Antibodies, Monoclonal, Humanized ,Antiviral Agents ,S100A9 ,COVID-19 ,Interferon-gamma ,03 medical and health sciences ,Immune system ,Lipocalin-2 ,Calgranulin B ,Humans ,Immunologic Factors ,Cytokine ,Aged ,Vascular Endothelial Growth Factor Receptor-1 ,Interleukin-6 ,SARS-CoV-2 ,business.industry ,Gene Expression Profiling ,Interleukin-1 Receptor-Like 1 Protein ,Ferritin ,030104 developmental biology ,Case-Control Studies ,Ferritins ,Multivariate Analysis ,biology.protein ,Interleukin-2 ,business ,Biomarkers - Abstract
Immune and inflammatory responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) contribute to disease severity of coronavirus disease 2019 (COVID-19). However, the utility of specific immune-based biomarkers to predict clinical outcome remains elusive. Here, we analyzed levels of 66 soluble biomarkers in 175 Italian patients with COVID-19 ranging from mild/moderate to critical severity and assessed type I IFN-, type II IFN-, and NF-κB-dependent whole-blood transcriptional signatures. A broad inflammatory signature was observed, implicating activation of various immune and nonhematopoietic cell subsets. Discordance between IFN-α2a protein and IFNA2 transcript levels in blood suggests that type I IFNs during COVID-19 may be primarily produced by tissue-resident cells. Multivariable analysis of patients' first samples revealed 12 biomarkers (CCL2, IL-15, soluble ST2 [sST2], NGAL, sTNFRSF1A, ferritin, IL-6, S100A9, MMP-9, IL-2, sVEGFR1, IL-10) that when increased were independently associated with mortality. Multivariate analyses of longitudinal biomarker trajectories identified 8 of the aforementioned biomarkers (IL-15, IL-2, NGAL, CCL2, MMP-9, sTNFRSF1A, sST2, IL-10) and 2 additional biomarkers (lactoferrin, CXCL9) that were substantially associated with mortality when increased, while IL-1α was associated with mortality when decreased. Among these, sST2, sTNFRSF1A, IL-10, and IL-15 were consistently higher throughout the hospitalization in patients who died versus those who recovered, suggesting that these biomarkers may provide an early warning of eventual disease outcome.
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- 2021
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48. Global Health Education in Nephrology: The Time has Come
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Ursula C. Brewster, Asghar Rastegar, Felix Knauf, Rebecca Ingenhoff, and Robert Kalyesubula
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Nephrology ,medicine.medical_specialty ,business.industry ,Internal medicine ,Family medicine ,Up Front Matters ,medicine ,MEDLINE ,Global health ,General Medicine ,business - Published
- 2021
49. Vulvar Vascular Malformations in Children and Adolescents-A Report of a Rare Entity and Review of the Literature
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Mark Galan, Debra S. Heller, Radhika Malhotra, Kristyn M. Brandi, Shima Rastegar, and Kulveen Gill
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medicine.medical_specialty ,Adolescent ,Vulvar Neoplasms ,business.industry ,Vascular Malformations ,Rare entity ,Obstetrics and Gynecology ,General Medicine ,Dermatology ,Vulva ,Medicine ,Humans ,Female ,Vulvar Diseases ,business ,Child - Published
- 2021
50. <scp>SI‐EDTL</scp> : Swarm intelligence ensemble deep transfer learning for multiple vehicle detection in <scp>UAV</scp> images
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Zeinab Ghasemi Darehnaei, Mohammad Shokouhifar, Hossein Yazdanjouei, and Seyed Mohammad Jalal Rastegar Fatemi
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Computational Theory and Mathematics ,Computer Networks and Communications ,Computer science ,business.industry ,Vehicle detection ,Artificial intelligence ,Transfer of learning ,business ,Ensemble learning ,Swarm intelligence ,Software ,Computer Science Applications ,Theoretical Computer Science - Published
- 2021
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