Author: "Chang, Joon" / Topic: business - Searchworks@Jio Institute Digital Library Search Results

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306 results on '"Chang, Joon"'

1. Torsional Design Method Based on Skew Bending Theory in Eurasia

Author: Deuck Hang Lee, Chang-Joon Lee, Hyunjin Ju, Kil-Hee Kim, and Meirzhan Yerzhanov
Subjects: Materials science, Mechanics of Materials, business.industry, Materials Science (miscellaneous), Skew, Building and Construction, Structural engineering, Bending, business, Civil and Structural Engineering
Published: 2021
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2. Contrapuntal Reading on the Writings of Chong-Sik Lee and Bruce Cumings

Author: OK Chang Joon and Choi Kyu-Jin
Subjects: Literature, business.industry, media_common.quotation_subject, Reading (process), Korean studies, General Medicine, Art, business, media_common
Published: 2020
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3. Predictors and outcomes of sepsis-induced cardiomyopathy in critically ill patients

Author: Song, Myung Jin, Lee, Sang Hoon, Leem, Ah Young, Kim, Song Yee, Chung, Kyung Soo, Kim, Eun Young, Jung, Ji Ye, Kang, Young Ae, Kim, Young Sam, Chang, Joon, and Park, Moo Suk
Subjects: medicine.medical_specialty, Cardiology, Cardiomyopathy, Confidential interval, Critical Care and Intensive Care Medicine, Critical Care Nursing, Sepsis, sepsis, stomatognathic system, Internal medicine, Medicine, ejection fraction, Ejection fraction, apache, APACHE II, business.industry, Critically ill, Hazard ratio, lcsh:Medical emergencies. Critical care. Intensive care. First aid, lcsh:RC86-88.9, medicine.disease, mortality, Blood pressure, delta neutrophil fraction, Original Article, prognosis, business
Abstract: Background Sepsis-induced cardiomyopathy (SIC) occurs frequently in critically ill patients, but the clinical features and prognostic impact of SIC on sepsis outcome remain controversial. Here, we investigated the predictors and outcomes of SIC. Methods Patients admitted to a single medical intensive care unit from June 2016 to September 2017 were retrospectively reviewed. SIC was diagnosed by ejection fraction (EF)
Published: 2020

4. The role of bilirubin to albumin ratio as a predictor for mortality in critically ill patients without existing liver or biliary tract disease

Author: Choi, Ji Soo, Chung, Kyung Soo, Lee, Eun Hye, Lee, Su Hwan, Lee, Sang Hoon, Kim, Song Yee, Jung, Ji Ye, Kang, Young Ae, Park, Moo Suk, Kim, Young Sam, Chang, Joon, and Leem, Ah Young
Subjects: medicine.medical_specialty, Bilirubin, critically ill, Critical Care and Intensive Care Medicine, Critical Care Nursing, Gastroenterology, law.invention, chemistry.chemical_compound, law, Internal medicine, medicine, Hypoalbuminemia, Simplified Acute Physiology Score, albumin, Univariate analysis, business.industry, Hazard ratio, lcsh:Medical emergencies. Critical care. Intensive care. First aid, Albumin, Retrospective cohort study, lcsh:RC86-88.9, medicine.disease, mortality, Intensive care unit, Liver, chemistry, Original Article, prognosis, bilirubin, business
Abstract: Background: Hyperbilirubinemia and hypoalbuminemia are frequently appeared and associated with poor prognosis in critically ill patients. We aim to evaluate the association between the bilirubin to albumin ratio and prognosis in intensive care unit (ICU) patients. Methods: This was a retrospective study of 731 patients who were admitted to the medical intensive care unit (MICU) at a tertiary-care center from July 2015 to September 2017. We analyzed the bilirubin to albumin ratio on admission to the MICU, including clinical characteristics and other examinations. Results: The overall 28-day survival of MICU patients was 69.1%. On univariate analysis, Acute Physiology and Chronic Health Evaluation (APACHE) II score (P
Published: 2020
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5. Predicting oxygen tension along the ureter

Author: David Smith, Bruce S. Gardiner, Chang Joon Lee, and Roger G. Evans
Subjects: medicine.medical_specialty, Physiology, Partial Pressure, Urology, chemistry.chemical_element, Urine, urologic and male genital diseases, Oxygen, Models, Biological, Diffusion, Ureter, Renal hypoxia, medicine, Animals, Humans, In patient, Computer Simulation, business.industry, Acute kidney injury, Acute Kidney Injury, medicine.disease, Oxygen tension, medicine.anatomical_structure, chemistry, Oxygen diffusion, Peristalsis, Rabbits, business
Abstract: Measurement of bladder urine oxygen tension has been proposed as a new method to potentially detect the risk of acute kidney injury in patients. A computational model of oxygen exchange between urine bolus and ureteral tissue shows that it may be technically possible to determine the risk of acute kidney injury based on the measurement of bladder urine oxygen tension, provided that the measurement data are properly interpreted via a computational model.
Published: 2021

6. Hysteresis Characteristics of Self-Centering Semirigid CFT Column-to-Beam Double Web-Angle Connections

Author: chang joon kim and Kim Joo-Woo
Subjects: Hysteresis, Materials science, business.industry, Shape-memory alloy, Structural engineering, Composite material, business, Column (database), Beam (structure)
Published: 2019
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7. Fiber-to-the-Home System with Remote Repeater

Author: A.V. Tran, Chang-Joon Chae, and Nishaanthan Nadarajah
Subjects: Repeater, Computer science, business.industry, Electrical engineering, business, Fiber to the x
Abstract: We have reported a new FTTH system to reduce ONU transmitter cost using an upstream repeater at the remote node. The system can be further modified to provide both downstream and upstream regeneration by utilizing bidirectional property of standard transceivers. This is to extend conventional PON system's feeder fiber reach to 60 km and split ratio to 1:256. The use of the repeater introduces insignificant penalty to the existing PON performance and meets the IEEE 802.3ah standard requirements. We show that the system achieves good performance compared to a standard PON using SMFs. The system has a large network coverage and potentially provides a low-cost solution to accelerate broadband access deployment. Furthermore, we investigated the jitter performance of cascaded repeater-based FTTH systems through a recirculating loop. The results show that the system without clock recovery can be cascaded up to 4 times with insignificant performance degradation and the total jitter is within EPON standard specification. When clock recovery at the receiver is used, we can extend the system's coverage area significantly. We have shown that value-added services such as video service integration and LAN emulation can intelligently be added in the repeater-based access networks. We have demonstrated a cost-efficient video service delivery scheme for this type of densely populated repeater-based optical access network, whereby the remote repeater enables the integration of the video services to the downstream traffic transport. The video signals are carried on a RF carrier that is placed outside the bandwidth of the downstream traffic. The BER results and the constellation diagrams measured from the experimental demonstrations show that both signals can be recovered with minimal penalty. For the local area networking amongst the customers in the repeater-based FTTH network, the remote repeater performs intelligent functionalities to provide optical layer LAN capabilities while regenerating the signals. The experimental results show that all signals can be recovered error-free after transmissions. We have also performed an economics study of different FTTH technologies taking into account 1+1 protection. It is shown that the repeater-based FTTH architecture is competitive with the FTTN-DSL architecture in terms of cost per subscriber whereas the conventional PON architecture requires higher costs. The trenching costs and the ONU costs are far more dominant of all costs in all kinds of architectures. It has also been shown that longer feeder fiber incurs more cost per subscriber and therefore to make a feasible and more economical solution to provide broadband services, a larger number of customers have to be supported over a single infrastructure.
Published: 2021

8. Utility of Global Longitudinal Strain to Predict Post-Operative Outcomes in Non-Cardiac Surgeries

Author: Huang Pei, See Jason Jia Hao, Park Chang Joon, Tan Puay Joo, and Tan Liy Si
Subjects: medicine.medical_specialty, Longitudinal strain, business.industry, Internal medicine, medicine, Post operative, business, Surgery
Published: 2021
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9. Critical care admission following elective surgery was not associated with survival benefit

Author: Kahan, Brennan C., Desponia, Koulenti, Kostoula, Arvaniti, Vanessa, Beavis, Douglas, Campbell, Matthew, Chan, Rui, Moreno, Pearse, Rupert M., Scott, Beattie, Pierre-Alain, Clavien, Nicolas, Demartines, Lee, A Fleisher, Mike, Grocott, James, Haddow, Andreas, Hoeft, Peter, Holt, Naomi, Pritchard, Andrew, Rhodes, Duminda, Wijeysundera, Matt, Wilson, Tahania, Ahmed, Kirsty, Everingham, Russell, Hewson, Marta, Januszewska, Rupert, M Pearse, Mandeep-Kaur, Phull, Richard, Halliwell, Mark, Shulman, Paul, Myles, Werner, Schmid, Michael, Hiesmayr, Patrick, Wouters, Stefan de Hert, Suzana, Lobo, Xiangming, Fang, Lars, Rasmussen, Emmanuel, Futier, Matthieu, Biais, Aurélien, Venara, Karem, Slim, Michael, Sander, Despoina, Koulenti, Mathew, Chan, Atul, Kulkarni, Susilo, Chandra, Aida, Tantri, Emad, Geddoa, Muntadhar, Abbas, Giorgio Della Rocca, Datin, Sivasakthi, Marzida, Mansor, Pastor, Luna, Arthur, Bouwman, Wolfgang, Buhre, Tim, Short, Tunde, Osinaike, Ricardo, Matos, Ioana, Grigoras, Mikhail, Kirov, Denis, Protsenko, Bruce, Biccard, Cesar, Aldecoa, Michelle, Chew, Christoph, Hofer, Martin, Hubner, James, Ditai, Tamas, Szakmany, Lee, Fleisher, Marissa, Ferguson, Michael, Macmahon, Ritchie, Cherian, Helen, Currow, Kathirgamanathan, Kanathiban, David, Gillespie, Edward, Pathmanathan, Katherine, Phillips, Jenifer, Reynolds, Joanne, Rowley, Jeanene, Douglas, Ross, Kerridge, Sameer, Garg, Michael, Bennett, Megha, Jain, David, Alcock, Nico, Terblanche, Rochelle, Cotter, Kate, Leslie, Marcelle, Stewart, Nicolette, Zingerle, Antony, Clyde, Oliver, Hambidge, Adam, Rehak, Sharon, Cotterell, Wilson Binh Quan Huynh, Timothy, Mcculloch, Erez, Ben-Menachem, Thomas, Egan, Jennifer, Cope, Paul, Fellinger, Simone, Haselberger, Caroline, Holaubek, Paul, Lichtenegger, Florian, Scherz, Franz, Hoffer, Veronika, Cakova, Andreas, Eichwalder, Norbert, Fischbach, Reinhold, Klug, Elisabeth, Schneider, Martin, Vesely, Reinhart, Wickenhauser, Karl Gernot Grubmueller, Marion, Leitgeb, Friedrich, Lang, Nancy, Toro, Marlene, Bauer, Friedrich, Laengle, Thomas, Mayrhofer, Christian, Buerkle, Karin, Forstner, Reinhard, Germann, Harald, Rinoesl, Elke, Schindler, Ernst, Trampitsch, Gerhard, Fritsch, Christian, Szabo, Jawad, Bidgoli, Hans, Verdoodt, Patrice, Forget, David, Kahn, Fernande, Lois, Mona, Momeni, Caroline, Prégardien, Audrey, Pospiech, Arnaud, Steyaert, Laurent, Veevaete, Dirk De Kegel, Karen De Jongh, Luc, Foubert, Carine, Smitz, Marcel, Vercauteren, Jan, Poelaert, Veerle Van Mossevelde, Jacques, Abeloos, Stefaan, Bouchez, Marc, Coppens, Luc De Baerdemaeker, Isabel, Deblaere, Ann De Bruyne, Stefan De Hert, Kristine, Fonck, Bjorn, Heyse, Tom, Jacobs, Koen, Lapage, Anneliese, Moerman, Martine, Neckebroek, Aliaksandra, Parashchanka, Nathalie, Roels, Nancy Van Den Eynde, Michael, Vandenheuvel, Jurgen Van Limmen, Ann, Vanluchene, Caroline, Vanpeteghem, Piet, Wyffels, Christel, Huygens, Punitha, Vandenbempt, Marc Van de Velde, Dimitri, Dylst, Bruno, Janssen, Evelien, Schreurs, Fábia Berganton Aleixo, Keulle, Candido, Hugo Dias Batista, Mario, Guimarães, Jaqueline, Guizeline, João, Hoffmann, Suzana, M Lobo, Francisco Ricardo Lobo, Vinícius, Nascimento, Katia, Nishiyama, Lucas, Pazetto, Daniela, Souza, Rodrigo Souza Rodrigues, Ana Maria Vilela Dos Santos, Jaquelline, Jardim, Joao, Silva, Paulo do Nascimento Junior, Thalissa Hermínia Baio, Gabriel Isaac Pereira de Castro, Henri Roger Watanabe Oliveira, Cristina Prata Amendola, Gutemberg, Cardoso, Daniela, Ortega, Ana Flavia Brotto, Mirella Cristine De Oliveira, Álvaro, Réa-Neto, Fernando, Dias, Pedro, Azambuja, Marcos Freitas Knibel, Antonio, Martins, William, Almeida, Calim Neder Neto, Maria Angela Tardelli, Eliana, Caser, Marcio, Machado, Crisitiano, Aguzzoli, Sérgio, Baldisserotto, Fernanda Beck Tabajara, Fernanda, Bettega, La Hore Correa Rodrigues Júnior, Julia de Gasperi, Lais, Faina, Marcos Farias Nolasco, Bruna Ferreira da Costa Fischer, Mariana Fosch de Campos Ferreira, Cristina, Hartmann, Marta, Kliemann, Gustavo Luis Hubert Ribeiro, Julia Merladete Fraga, Thiago Motta Netto, Laura Valduga Pozza, Paulo Rafael Wendling, Caroline, Azevedo, Juliana, Garcia, Marcel, Lopes, Bernardo, Maia, Paula, Maselli, Ralph, Melo, Weslley, Mendes, Matheus, Neves, Jacqueline, Ney, Claudio, Piras, Christopher, Applewhaite, Adrienne, Carr, Lorraine, Chow, Kaylene, Duttchen, Julena, Foglia, Michael, Greene, Ashley, Hinther, Kendra, Houston, Thomas Jared McCormick, Jennifer, Mikhayel, Sam, Montasser, Alex, Ragan, Andrew, Suen, Adrianna, Woolsey, Hai Chuan Yu, Duane, Funk, Stephen, Kowalski, Regina, Legaspi, Heather, Mcdonald, Faisal, Siddiqui, Jeremy, Pridham, Bernadette, Rowe, Sonia, Sampson, Barton, Thiessen, Geoff, Zbitnew, Andre, Bernard, Ronald, George, Philip, Jones, Rita, Moor, Naveed, Siddiqui, Alexandra, Wolfer, Diem, Tran, Denyse, Winch, Gary, Dobson, Thomas, Mccormick, Osama, Montasser, Richard, Hall, Leyla, Baghirzada, Si Yuan Dai, Gregory, Hare, Esther, Lee, Uma, Shastri, Albert, Tsui, Anmol, Yagnik, Danielle, Alvares, Stephen, Choi, Heather, Dwyer, Kathrina, Flores, Colin, Mccartney, Priya, Somascanthan, Carroll, Jo, Janneth, Pazmino-Canizares, Noam, Ami, Vincent, Chan, Anahi, Perlas, Ruth, Argue, Katie, Lavis, Kelly, Mayson, Ying, Cao, Hong, Gao, Tingju, Hu, Jie, Lv, Jian, Yang, Yang, Yang, Zhong, Yi, Jing, Zhou, Xiaohua, Zou, Miao, He, Xiaoying, Li, Dihuan, Luo, Haiying, Wang, Tian, Yu, Liyong, Chen, Lijun, Wang, Yunfei, Cai, Zhongming, Cao, Yanling, Li, Jiaxin, Lian, Haiyun, Sun, Sheng, Wang, Zhipeng, Wang, Kenru, Wang, Zhu, Yi, Xindan, Du, Hao, Fan, Yunbin, Fu, Lixia, Huang, Yanming, Huang, Haifang, Hwan, Hong, Luo, Pi-Sheng, Qu, Fan, Tao, Zhen, Wang, Guoxiang, Wang, Shun, Wang, Yan, Zhang, Xiaolin, Zhang, Chao, Chen, Weixing, Wang, Zhengyuan, Liu, Lihua, Fan, Jing, Tang, Yijun, Chen, Yongjie, Chen, Yangyang, Han, Changshun, Huang, Guojin, Liang, Jing, Shen, Jun, Wang, Qiuhong, Yang, Jungang, Zhen, Haidong, Zhou, Junping, Chen, Zhang, Chen, Xiaoyu, Li, Meng, Bo, Haiwang, Ye, Xiaoyan, Zhang, Yanbing, Bi, Jianqiao, Cao, Fengying, Guo, Hong, Lin, Yang, Liu, Meng, Lv, Pengcai, Shi, Xiumei, Song, Chuanyu, Sun, Yongtao, Sun, Yuelan, Wang, Shenhui, Wang, Min, Zhang, Rong, Chen, Jiabao, Hou, Yan, Leng, Qing-Tao, Meng, Qian, Li, Zi-Ying, Shen, Zhong-Yuan, Xia, Rui, Xue, Yuan, Zhang, Zhao, Bo, Xian-Jin, Zhou, Qiang, Chen, Huinan, Guo, Yongqing, Guo, Yuehong, Qi, Zhi, Wang, Jianfeng, Wei, Weiwei, Zhang, Lina, Zheng, Bao, Qi, Yaqiu, Chen, Yijiao, Chen, Yue, Fei, Nianqiang, Hu, Xuming, Hu, Min, Lei, Xiaoqin, Li, Xiaocui, Lv, Fangfang, Miao, Lingling, Ouyang, Qian, Lu, Conyu, Shen, Sun, Yu, Yuting, Wang, Dong, Wang, Chao, Wu, Liyuan, Xu, Jiaqi, Yuan, Lina, Zhang, Huan, Zhang, Yapping, Zhang, Jinning, Zhao, Chong, Zhao, Lei, Zhao, Tianzhao, Zheng, Dachun, Zhou, Haiyan, Zhou, Zhou, Ce, Kaizhi, Lu, Ting, Zhao, Changlin, He, Hong, Chen, Shasha, Chen, Baoli, Cheng, Jie, He, Lin, Jin, Caixia, Li, Hui, Li, Yuanming, Pan, Yugang, Shi, Xiao Hong Wen, Shuijing, Wu, Guohao, Xie, Kai, Zhang, Bing, Zhao, Xianfu, Lu, Feifei, Chen, Qisheng, Liang, Xuewu, Lin, Yunzhi, Ling, Gang, Liu, Jing, Tao, Yang, Lu, Jialong, Zhou, Fumei, Chen, Yunlin, Feng, Benchao, Hou, Jiamei, Lin, Mei, Liu, Foquan, Luo, Xiaoyun, Shi, Yingfen, Xiong, Lin, Xu, Shuangjia, Yang, Qin, Zhang, Huaigen, Zhang, Weihong, Zhao, Weilu, Zhao, Yun, Bai, Linbi, Chen, Sijia, Chen, Qinxue, Dai, Wujun, Geng, Kunyuan, Han, Xin, He, Luping, Huang, Binbin, Ji, Danyun, Jia, Shenhui, Jin, Qianjun, Li, Dongdong, Liang, Shan, Luo, Lulu, Lwang, Yunchang, Mo, Yuanyuan, Pan, Xinyu, Qi, Meizi, Qian, Jinling, Qin, Yelong, Ren, Yiyi, Shi, Junlu, Wang, Junkai, Wang, Leilei, Wang, Junjie, Xie, Yixiu, Yan, Yurui, Yao, Mingxiao, Zhang, Jiashi, Zhao, Xiuxiu, Zhuang, Yanqiu, Ai, Fang, Du, Long, He, Ledan, Huang, Zhisong, Li, Huijuan, Li, Yetong, Li, Liwei, Li, Meng, Su, Yazhuo, Yuan, Enman, Zhang, Jie, Zhang, Shuna, Zhao, Zhenrong, Ji, Ling, Pei, Wang, Li, Chen, Chen, Beibei, Dong, Jing, Li, Ziqiang, Miao, Hongying, Mu, Chao, Qin, Lin, Su, Zhiting, Wen, Keliang, Xie, Yonghao, Yu, Fang, Yuan, Xianwen, Hu, Zhang, Ye, Wangpin, Xiao, Zhipeng, Zhu, Qingqing, Dai, Kaiwen, Fu, Rong, Hu, Xiaolan, Hu, Song, Huang, Yaqi, Li, Yingping, Liang, Shuchun, Yu, Zheng, Guo, Yan, Jing, Tang, Na, Jie, Wu, Dajiang, Yuan, Ruilin, Zhang, Xiaoying, Zhao, Yuhong, Li, Hui-Ping, Bai, Chun-Xiao, Liu, Fei-Fei, Liu, Wei, Ren, Xiu-Li, Wang, Guan-Jie, Xu, Na, Hu, Bo, Li, Yangwen, Ou, Yongzhong, Tang, Shanglong, Yao, Shihai, Zhang, Cui-Cui, Kong, Bei, Liu, Tianlong, Wang, Wei, Xiao, Bo, Lu, Yanfei, Xia, Jiali, Zhou, Fang, Cai, Pushan, Chen, Shuangfei, Hu, Hongfa, Wang, Qiong, Xu, Liu, Hu, Liang, Jing, Bin, Li, Qiang, Liu, Yuejiang, Liu, Xinjian, Lu, Zhen Dan Peng, Xiaodong, Qiu, Quan, Ren, Youliang, Tong, Jin, Wang, Yazhou, Wen, Qiong, Wu, Jiangyan, Xia, Jue, Xie, Xiapei, Xiong, Shixia, Xu, Tianqin, Yang, Hui, Ye, Ning, Yin, Jing, Yuan, Qiuting, Zeng, Baoling, Zhang, Kang, Zheng, Jing, Cang, Shiyu, Chen, Fan, Yu, Shuying, Fu, Xiaodong, Ge, Baolei, Guo, Wenhui, Huang, Linghui, Jiang, Xinmei, Jiang, Liu, Yi, Yan, Pan, Yun, Ren, Shan, Qi, Jiaxing, Wang, Fei, Wang, Chi, Wu, Xiaoguang, Zhang, Ida Cecilie Christiansen, Simon Nørgaard Granum, Bodil Steen Rasmussen, Morten, Daugaard, Rajiv, Gambhir, Guðný Erla Steingrímsdóttir, Peter, Jensen-Gadegaard, Karsten Skovgaard Olsen, Hanna, Siegel, Katrine Zwicky Eskildsen, Mona Ring Gätke, Ida, Wibrandt, Simon Bisgaard Heintzelmann, Kai Henrik Wiborg Lange, Rune Sarauw Lundsgaard, Louise, Amstrup-Hansen, Claus, Hovendal, Michael, Larsen, Mette, Lenstrup, Tina, Kobborg, Jens Rolighed Larsen, Anette Barbre Pedersen, Søren Hübertz Smith, Rebecca Monett Oestervig, Arash, Afshari, Cheme, Andersen, Kim, Ekelund, Erik Lilja Secher, Birgitte, Brandsborg, Helene, Beloeil, Sigismond, Lasocki, Alexandre, Ouattara, Marlene, Sineus, Serge, Molliex, Marie Lim Legouge, Florent, Wallet, Antoine, Tesniere, Christophe, Gaudin, Paul, Lehur, Emma, Forsans, Stéphane de Rudnicki, Valerie Serra Maudet, Didier, Mutter, Ghassan, Sojod, Mehdi, Ouaissi, Jean-Marc, Regimbeau, Jacques, Desbordes, Nicolas, Comptaer, Diae El Manser, Sabine, Ethgen, Gilles, Lebuffe, Patrick, Auer, Christine, Härtl, Maria, Deja, Kirill, Legashov, Susanne, Sonnemann, Carola, Wiegand-Loehnert, Elke, Falk, Marit, Habicher, Stefan, Angermair, Beatrix, Laetsch, Katrin, Schmidt, Christian Von Heymann, Axel, Ramminger, Florian, Jelschen, Svenja, Pabel, Andreas, Weyland, Elke, Czeslick, Jochen, Gille, Michael, Malcharek, Armin, Sablotzki, Katharina, Lueke, Peter, Wetzel, Joerg, Weimann, Franz-Peter, Lenhart, Florian, Reichle, Frederike, Schirmer, Michael, Hüppe, Karl, Klotz, Carla, Nau, Julika, Schön, Thomas, Mencke, Christina, Wasmund, Carla, Bankewitz, Georg, Baumgarten, Andreas, Fleischer, Vera, Guttenthaler, Yvonne, Hack, Katharina, Kirchgaessner, Olja, Männer, Marlen, Schurig-Urbaniak, Rafael, Struck, Rebekka van Zyl, Maria, Wittmann, Ulrich, Goebel, Sarah, Harris, Siegfried, Veit, Evangelia, Andreadaki, Flora, Souri, Ioannis, Katsiadramis, Anthi, Skoufi, Maria, Vasileiou, Eleni, Aimoniotou-Georgiou, Anastasios, Katsourakis, Fotini, Veroniki, Glyceria, Vlachogianni, Konstantina, Petra, Dimitra, Chlorou, Eirini, Oloktsidou, Vasileios, Ourailoglou, Konstantinos, Papapostolou, Georgia, Tsaousi, Panagoula, Daikou, Georgia, Dedemadi, Ioannis, Kalaitzopoulos, Christos, Loumpias, Sotirios, Bristogiannis, Nikolaos, Dafnios, Georgios, Gkiokas, Elissaios, Kontis, Dimitra, Kozompoli, Aspasia, Papailia, Theodosios, Theodosopoulos, Christol, Bizios, Anastasia, Koutsikou, Aleaxandra, Moustaka, Ioannis, Plaitakis, Apostolos, Armaganidis, Theodora, Christodoulopoulou, Mihail, Lignos, Maria, Theodorakopoulou, Andreas, Asimakos, Eleni, Ischaki, Angeliki, Tsagkaraki, Spyros, Zakynthinos, Eleni, Antoniadou, Ioannis, Koutelidakis, Dimitrios, Lathyris, Irene, Pozidou, Nikolaos, Voloudakis, Maria, Dalamagka, Elena, Gkonezou, Christos, Chronis, Dimitra, Manolakaki, Dimitris, Mosxogiannidis, Tatiana, Slepova, Isaia-Sissy, Tsakiridou, Claire Lampiri Lampiri, Anastasia Vachlioti Vachlioti, Christos Panagiotakis Panagiotakis, Dimitrios Sfyras Sfyras, Fotios Tsimpoukas Tsimpoukas, Athanasia, Tsirogianni, Elena, Axioti, Andreas, Filippopoulos, Elli, Kalliafa, George, Kassavetis, Petros, Katralis, Ioannis, Komnos, Georgios, Pilichos, Ifigenia, Ravani, Antonis, Totis, Eymorfia, Apagaki, Andromachi, Efthymiadi, Nikolaos, Kampagiannis, Theoniki, Paraforou, Agoritsa, Tsioka, Georgios, Georgiou, Aristeidis, Vakalos, Aggeliki, Bairaktari, Efthimios, Charitos, George, Markou, Panagiota, Niforopoulou, Nikolaos, Papakonstantinou, Evdoxia, Tsigou, Archontoula, Xifara, Menelaos, Zoulamoglou, Panagiota, Gkioni, Stylianos, Karatzas, Aikaterini, Kyparissi, Efstratios, Mainas, Ioannis, Papapanagiotou, Theonymfi, Papavasilopoulou, George, Fragandreas, Eleni, Georgopoulou, Eleni, Katsika, Kyriakos, Psarras, Eirini, Synekidou, Maria, Verroiotou, Evangelia, Vetsiou, Donika, Zaimi, Athina, Anagnou, Konstantinos, Apostolou, Theodora, Melissopoulou, Theophilos, Rozenberg, Christos, Tsigris, Georgios, Boutsikos, Vasileios, Kalles, Nikolaos, Kotsalas, Christina, Lavdaiou, Fotini, Paikou, Georgia-Laura, Panagou, Anna, Spring, Ioannis, Botis, Maria, Drimala, Georgios, Georgakakis, Ellada, Kiourtzieva, Panagiota, Ntouma, Apostolos, Prionas, Kyriakos, Xouplidis, Eleftheria, Dalampini, Chrysavgi, Giannaki, Christina, Iasonidou, Orestis, Ioannidis, Athina, Lavrentieva, Athena, Lavrentieva, George, Papageorgiou, Maria, Kokkinoy, Maria, Stafylaraki, Stylianos, Gaitanakis, Periclis, Karydakis, Josef, Paltoglou, Panagiotis, Ponireas, Panagiotis, Chaloulis, Athanasios, Provatidis, Anisoglou, Sousana, Varvara Vanessa Gardikou, Maria, Konstantivelli, Olga, Lataniotou, Elisavet, Lisari, Maria, Margaroni, Konstantinos, Stamatiou, Edouardos, Nikolaidis, Ioannis, Pnevmatikos, Eleni, Sertaridou, Alexandros, Andreou, Eleni, Arkalaki, Elias, Athanasakis, Fotini, Chaniotaki, Aikaterini, Chatzimichali, Maria, Christofaki, Despina, Dermitzaki, Klara, Fiorentza, Georgios, Frantzeskos, Elisavet, Geromarkaki, Kalliopi, Kafkalaki, Marina, Kalogridaki, Konstyllia, Karydi, Sofia, Kokkini, Georgios, Kougentakis, Tatiana, Lefaki, Emmanouhl, Lilitsis, Aikaterini, Makatounaki, Polychronis, Malliotakis, Dimosthenis, Michelakis, Maria, Neonaki, Vasileia, Nyktari, Iliana, Palikyra, Eleftherios, Papadakis, Alexandra, Papaioannou, Konstantinos, Sfakianakis, Maria, Sgouraki, Xenia, Souvatzis, Anastasia, Spartinou, Nefeli, Stefanidou, Paulina, Syrogianni, Georgia, Tsagkaraki, Elena, Arnaoutoglou, Christina, Arnaoutoglou, Christina, Bali, Vasilios, Bouris, Rodamanthos, Doumos, Konstantia-Paraskevi, Gkini, Clio, Kapaktsi, Vasilios, Koulouras, Arian, Lena, Dimitra, Lepida, Evangelos, Michos, Dimitrios, Papadopoulos, Minas, Paschopoulos, Vaia Aliki Rompou, Ioanna, Siouti, Stavros, Tsampalas, Ourania, Ververidou, Georgios, Zilis, Alexandra, Charlalampidoy, Gregory, Christodoulidis, Andreas, 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Biccard, Bruce M., Biyase, Thuli, Buccimazza, Ine, Cardosa, Jorge, Chen, Jame, Daya, Bhavika, Drummond, Leanne, Elabib, Ali, Goad, Ehab Helmy Abdel, Goga, Ismail E., Goga, Riaz, Harrichandparsad, R., Hodgson, Richard E., Jordaan, J., Kalafatis, Nicky, Kampik, Christian, Landers, At, Loots, Emil, Madansein, Rajhmum, Madaree, Anil, Madiba, Thandinkosi E., Manzini, Vukani T., Mbuyisa, Mbali, Moodley, Rajan, Msomi, Mduduzi, Mukama, Innocent, Naidoo, Desigan, Naidoo, Rubeshan, Naidu, Tesuven K., Ntloko, Sindiswa, Padayachee, Eneshia, Padayachee, Lucelle, Phaff, Martijn, Pillay, Bala, Pillay, Desigan, Pillay, Lutchmee, Ramnarain, Anupa, Ramphal, Suren R., Ryan, Paul, Saloojee, Ahmed, Sebitloane, Motshedisi, Sigcu, Noluyolo, Taylor, Jenna L., Torborg, Alexandra, Visser, Linda, Anderson, Philip, Conradie, Alae, de Swardt, Mathew, de Villiers, Martin, Eikman, Johan, Liebenberg, Riaan, Mouton, Johan, Paton, Abbey, van der Merwe, Louwrence, Wilscott-Davids, Candice, Barrett, Wendy Joan, Bester, Marlet, de Beer, Johan, Geldenhuys, Jacque, Gouws, Hanni, Potgieter, Jan-Hendrik, Strydom, Magdel, Wilberforce-Turton, Edwin, Chetty, Rubendraj R., Chirkut, Subash, Cronje, Larissa, de Vasconcellos, Kim, Dube, Nokukhanya Z., Sibusiso Gama, N., Green, Garyth M., Green-Thompson, Randolph, Kinoo, Suman Mewa, Kistnasami, Prenolin, Maharaj, Kapil, Moodley, Manogaran S., Mothae, Sibongile J., Naidoo, Ruvashni, Aslam, M., Noorbhai, F., Rughubar, Vivesh, Reddy, Jenendhiran, Singh, Avesh, Skinner, David L., Smith, Murray J., Singh, Bhagwan, Misra, Ravi, Naidoo, Maheshwar, Ramdharee, Pireshin, Selibea, Yvonne, Sewpersad, Selina, Sham, Shailendra, Wessels, Joseph D., Africander, Cucu, Bejia, Tarek, Blakemore, Stephen P., Botes, Marisa, Bunwarie, Bimalshakth, Hernandez, Carlos B., Jeeraz, Mohammud A., Legutko, Dagmara A., Lopez, Acela G., De Meyer, Jenine N., Muzenda, Tanaka, Naidoo, Noel, Patel, Maryam, Pentela, Rao, Junge, Marina, Mansoor, Naj, Rademan, Lana, Scislowski, Pawel, Seedat, Ismail, van den Berg, Bianca, van der Merwe, Doreen, van Wyk, Steyn, Govender, Komalan, Naicker, Darshan, Ramjee, Rajesh, Saley, Mueen, Kuhn, Warren Paul, Matos-Puig, Roel, Moolla, Zaheer, Lisi, Alberto, Perez, Gisela, Valle Beltran, Anna, Lozano, Angel, Delgado Navarro, Carlo, Duca, Alejandro, Pastor Martinez, Ernesto, Ferrando, Carlo, Fuentes, Isabel, García-Pérez, Maria Luisa, Gracia, Estefania, Izquierdo Palomares, Ana, Katime, Antonio, Miñana, Amanda, Incertis, Raul, Romero, Esther, Romero Garcia, Carolina Soledad, Rubio, Concepcion, Socorro Artiles, Tania, Soro, Marina, Valls, Paola, Laguarda, Gisela Alaman, Benavent, Pau, Cuenca, Vicente Chisbert, Cueva, Andreu, Lafuente, Matilde, Parra, Asuncion Marque, Rodrigo, Alejandra Romero, Sanchez-Morcillo, Silvia, Tormo, Sergi, Redondo, Francisco Javier, De Andres, Jose, Gómez Diago, Lorena, Hernández Cádiz, Maria José, Manuel, Granell Gil, Peris, Raquel, Saiz, Cristina, Tatay, Jose, Tebar Soto, Maria Teresa, Brunete, Tamara, Cancho, David, Delgado García, David R., Zamudio, Diana, Garcia Del Valle, Santiago, Luz Serrano, M., Alonso, Eduardo, Anillo, Victor, Maseda, Emilio, Salgado, Patricia, Suarez, Lui, Suarez-de-la-Rica, Alejandro, Villagrán, María José, Alonso, José Ignacio, Cabezuelo, Estefania, Garcia-Saiz, Irene, Lopez del Moral, Olga, Martín, Silvia, Perez Gonzalez, Alba, Tovar Doncel, Sherezade, Vera, Martin Agüero, Ávila Sánchez, Francisco José, Castaño, Beatriz, Castaño Moreira, Beatriz, Flores Risco, Sahely, Paz Martín, Daniel, Pérez Martín, Fernando, Poza, Paloma, Ruiz, Adela, Serna Martínez, Wilson Fabio, Vicente, Bárbara Vázquez, Dominguez, Saul Velaz, Fernández, Salvador, Munoz-López, Alfonso, Bernat, Maria Jose, Mas, Arantxa, Planas, Kenneth, Jawad, Monir, Saeed, Yousif, Hedin, Annika, Levander, Helena, Holmström, Sandra, Lönn, David, Zoerner, Frank, Åkring, Irene, Widmark, Carl, Zettergren, Jan, Liljequist, Victor Aspelund, Nystrom, Lena, Odeberg-Wernerman, Suzanne, Oldner, Ander, Reje, Patrik, Lyckner, Sara, Sperber, Jesper, Adolfsson, Anne, Klarin, Bengt, Ögren, Katrin, Barras, Jean-Pierre, Bührer, Thoma, Despotidis, Vasileio, Helmy, Naeder, Holliger, Stephan, Raptis, Dimitri Aristotle, Schmid, Roger, Meyer, Antoine, Jaquet, Yve, Kessler, Ulf, Muradbegovic, Mirza, Nahum, Solange R., Rotunno, Teresa, Schiltz, Bori, Voruz, Françoi, Worreth, Marc, Christoforidis, Dimitri, Popeskou, Sotirios Georgio, Furrer, Marku, Prevost, Gian Andrea, Stocker, Andrea, Lang, Klau, Breitenstein, Stefan, Ganter, Michael T., Geisen, Martin, Soll, Christopher, Korkmaz, Michelle, Lubach, Iri, Schmitz, Michael, Meyer zu Schwabedissen, Moritz, Zingg, Ur, Hillermann, Thoma, Wildi, Stefan, Pinto, Bernardo Bollen, Walder, Bernhard, Hübner, Martin, Mariotti, Giustina, Slankamenac, Ksenija, Namuyuga, Mirioce, Kyomugisha, Edward, Kituuka, Olivia, Wesonga Shikanda, Anne, Kakembo, Nasser, Otim Tom, Charle, Webombesa, Antonina, Bua, Emmanuel, Ssettabi, Eden Michael, Epodoi, Joseph, Kabagenyi, Fiona, Kirya, Fred, Dempsey, Ged, Seasman, Colette, Basit Nawaz Khan, Raja, Kurasz, Claire, Macgregor, Mark, Shawki, Burhan, Hariharan, Vimal, Chau, Simon, Ellis, Kate, Butt, Georgina, Chicken, Dennis-Wayne, Christmas, Natasha, Allen, Samantha, Daniel, Gayatri Daniel, Dempster, Angie, Kemp, Juliette, Matthews, Lewi, Mcglone, Philip, Tambellini, Joanne, Trodd, Dawn, Freitas, Katie, Garg, Atul, Karpate, Shilpaja, Kulkarni, Aditi, O’Hara, Chloe, Troko, Jtroko, Angus, Kirsty, Bradley, Jacqueline, Brennan, Emma, Brooks, Carolyn, Brown, Janette, Brown, Gemma, Finch, Amanda, Gratrix, Karen, Hesketh, Sue, Hill, Gillian, Jeffs, Carol, Morgan, Maureen, Pemberton, Chri, Slawson, Nicola, Spickett, Helen, Swarbrick, Gemma, Thomas, Megan, Van Duyvenvoorde, Greta, Brennan, Andrew, Briscoe, Richard, Cooper, Sarah, Lawton, Tom, Northey, Martin, Senaratne, Rashmi, Stanworth, Helen, Burrows, Lorna, Cain, Helen, Craven, Rachael, Davies, Keith, Jonas, Attila, Pachucki, Marcin, Walkden, Graham, Davies, Helen, Gudaca, Mariethel, Hobrok, Maria, Arawwawala, Dilshan, Fergey, Lauren, Gardiner, Matthew, Gunn, Jacqueline, Johnson, Lyndsay, Lofting, Amanda, Lyle, Amanda, Mc Neela, Fiona, Smolen, Susan, Topliffe, Joanne, Williams, Sarah, Bland, Martin, Kaura, Vika, Lanka, Prasad, Naylor, Chardé, Smith, Neil, Ahmed, Ahmed, Myatt, John, Shenoy, Ravikiran, Soon, Wai Cheong, Tan, Jessica, Karadia, Sunny, Self, Jame, Durant, Emma, Tripathi, Shiva, Bullock, Clare, Campbell, Debbie, Ghosh, Alison, Hughes, Thoma, Zsisku, Lajo, Bengeri, Sheshagiri, Cowton, Amanda, Khalid, Mohammed Shazad, Limb, Jame, McAdam, Colin, Porritt, Mandy, Rafi, M. Amir, Shekar, Priya, Harden, Catherine, Hollands, Heidi, King, Angela, March, Linda, Minto, Gary, Patrick, Abigail, Waugh, Darren, Kumara, Paramesh, Simeson, Karen, Yarwood, Jamie, Browning, Julie, Hatton, Jonathan, Julian, Howe, Mitra, Atideb, Newton, Maria, Pernu, Pawan, Wilson, Alison, Commey, Thelma, Foot, Helen, Glover, Lyn, Gupta, Ajay, Lancaster, Nicola, Levin, Jill, Mackenzie, Felicity, Mestanza, Claire, Nofal, Emma, Pout, Lauren, Varden, Rosanna, Wild, Jonathan, Jones, Stephanie, Moreton, Sarah, Pulletz, Mark, Davies, Charlotte, Martin, Matthew, Thomas, Sian, Burns, Karen, McArthur, Carol, Patel, Panna, Lau, Gary, Rich, Natalie, Davis, Fiona, Lyons, Rachel, Port, Beth, Prout, Rachel, Smith, Christopher, Adelaja, Yemi, Bennett, Victoria, Bidd, Heena, Dumitrescu, Alexandra, Murphy, Jacqui Fox, Keen, Abigail, Mguni, Nhlanhla, Ong, Cheng, Adams, George, Boshier, Pier, Brown, Richard, Butryn, Izabella, Chatterjee, Jayanta, Freethy, Alexander, Lockwood, Geoffrey, Tsakok, Maria, Tsiligiannis, Sophia, Peat, William, Stephenson, Lorraine, Bradburn, Mike, Pick, Sara, Cunha, Pedro, Olagbaiye, Olufemi, Tayeh, Salim, Abernethy, Caroline, Balasubramaniam, Madhu, Bennett, Rachael, Bolton, David, Martinson, Victoria, Naylor, Charde, Bell, Stephanie, Heather, Blaylock, Kushakovsky, Vlad, Alcock, Liam, Alexander, Hazel, Anderson, Colette, Baker, Paul, Brookes, Morag, Cawthorn, Louise, Cirstea, Emanuel, Colling, Kerry, Coulter, Ian, Das, Suparna, Haigh, Kathryn, Hamdan, Alhafidz, Hugill, Keith, Kottam, Lucksy, Lisseter, Emily, Mawdsley, Matthew, McGivern, Julie, Padala, Krishnaveni, Phelps, Victoria, kumar, Vineshykaa Ramesh, Stewart, Kirsten, Towse, Kayley, Tregonning, Julie, Vahedi, Ali, Walker, Alycon, Baines, Duncan, Bilolikar, Anjali, Chande, Shiv, Copley, Edward, Dunk, Nigel, Kulkarni, Raghavendra, Kumar, Pawan, Metodiev, Yavor, Ncomanzi, Dumisani, Raithatha, Bhavesh, Raymode, Parizade, Szafranski, Jan, Twohey, Linda, Watt, Philip, Weatherall, Lucie, Weatherill, J., Whitman, Zoe, Wighton, Elinor, Abayasinghe, Chamika, Chan, Alexander, Darwish, Sharif, Gill, Jame, Glasgow, Emma, Hadfield, Daniel, Harris, Clair, Kochhar, Arun, Mellis, Clare, Pool, Andrew, Riozzi, Paul, Selman, Andrew, Smith, Emma-Jane, Vele, Liana, Gercek, Yuksel, Guy, Kramer, Holden, Dougla, Watson, Nichola, Whysall, Karen, Andreou, Prematie, Hales, Dawn, Thompson, Jonathan, Bowrey, Sarah, McDonald, Shara, Gilmore, Jemma, Hills, Vicky, Kelly, Chan, Kelly, Sinead, Lloyd, Geraint, Abbott, Tom, Gall, Lewi, Torrance, Hew, Vivian, Mark, Berntsen, Emer, Nolan, Tracey, Turner, Angu, Vohra, Akbar, Brown, Andrew, Clark, Richard, Coughlan, Elaine, Daniel, Conway, Patvardhan, Chinmay, Pearson, Rachel, Predeep, Sheba, Saad, Hesham, Shanmugam, Mohanakrishnan, Varley, Simon, Wylie, Katharine, Cooper, Lucy, Makowski, Arystarch, Misztal, Beata, Moldovan, Eliza, Pegg, Claire, Donovan, Andrew, Foot, Jayne, Large, Simon, Claxton, Andrew, Netke, Bhagyashree, Armstrong, Richard, Calderwood, Claire, Kwok, Andy, Mohr, Otto, Oyeniyi, Peter, Patnaik, Lisa, Post, Benjamin, Ali, Sarah, Arshad, Homa, Baker, Gerard, Brenner, Laura, Brincat, Maximilian, Brunswicker, Annemarie, Cox, Hannah, Cozar, Octavian Ionut, Durst, Alexander, Fengas, Lior, Flatt, Jim, Glister, Georgina, Narwani, Vishal, Photi, Evangelo, Rankin, Adeline, Rosbergen, Melissa, Tan, Mark, Beaton, Ceri, Horn, Rachel, Hunt, Jane, Rousseau, Guy, Stancombe, Lucia, Absar, Mohammed, Allsop, Joanne, Drinkwater, Zoe, Hodgkiss, Tracey, Smith, Kirsty, Brown, Jamie, Alexander-Sefre, Farhad, Campey, Lorraine, Dudgeon, Lucy, Hall, Kathryn, Hitchcock, Rachael, James, Lynne, Smith, Kate, Winstone, Ulrika, Ahmad, Norfaizan, Bauchmuller, Kri, Harrison, Jonathan, Jeffery, Holly, Miller, Duncan, Pinder, Angela, Pothuneedi, Sailaja, Rosser, Jonathan, Sanghera, Sumayer, Swift, Diane, Walker, Rachel, Bester, Delia, Cavanagh, Sarah, Cripps, Heather, Daniel, Harvey, Lynch, Julie, Paton, Alison, Pyke, Shirley, Scholefield, John, Whitworth, Helen, Bottrill, Fiona, Ramalingam, Ganesh, Webb, Stephen, Akerman, Nik, Antill, Philip, Bourner, Lynsey, Buckley, Sarah, Castle, Gail, Charles, Rob, Eggleston, Christopher, Foster, Rebecca, Gill, Satwant, Lindley, Kate, Lklouk, Mohamed, Lowery, Tracey, Martin, Oliver, Milne, David, O’Connor, Patrick, Ratcliffe, Andrew, Rose, Alastair, Smith, Annie, Varma, Sandeep, Ward, Jackie, Barcraft-Barnes, Helena, Camsooksai, Julie, Colvin, Carolyn, Reschreiter, Henrik, Tbaily, Lee, Venner, Nicola, Hamilton, Caroline, Kelly, Lewi, Toth-Tarsoly, Piroska, Dodsworth, Kerry, Foord, Denise, Gordon, Paul, Hawes, Elizabeth, Lamb, Nikki, Mouland, Johanna, Nightingale, Jeremy, Rose, Steve, Schrieber, Joe, Al ‘Amri, Khalid, Aladin, Hafiz, Arshad, Mohammed Asif, Barraclough, Jame, Bentley, Conor, Bergin, Colin, Carrera, Ronald, Clarkson, Aisling, Collins, Michelle, Cooper, Lauren, Denham, Samuel, Griffiths, Ewen, Ip, Peter, Jeyanthan, Somasundaram, Joory, Kavita, Kaur, Satwant, Marriott, Paul, Mitchell, Natalie, Nagaiah, Sukumar, Nilsson, Annette, Parekh, Nilesh, Pope, Martin, Seager, Joseph, Serag, Hosam, Tameem, Alifia, Thomas, Anna, Thunder, Joanne, Torrance, Andrew, Vohra, Ravinder, whitehouse, Arlo, Wong, Tony, Blunt, Mark, Wong, Kate, Giles, Julian, Reed, Isabelle, Weller, Debbie, Bell, Gillian, Birch, Julie, Damant, Rose, Maiden, Jane, Mewies, Clare, Prince, Claire, Radford, Jane, Balain, Birender, Banerjee, Robin, Barnett, Andrew, Burston, Ben, Davies, Kirsty, Edwards, Jayne, Evans, Chri, Ford, David, Gallacher, Pete, Hill, Simon, Jaffray, David, Karlakki, Sudheer, Kelly, Cormac, Kennedy, Julia, Kiely, Nigel, Lewthwaite, Simon, Marquis, Chri, Ockendon, Matthew, Phillips, Stephen, Pickard, Simon, Richardson, Jame, Roach, Richard, Smith, Tony, Spencer-Jones, Richard, Steele, Niall, Steen, Julie, Van Liefland, Marck, White, Steve, Faulds, Matthew, Harris, Meredyth, Kelly, Carrie, Nicol, Scott, Pearson, Sally Anne, Chukkambotla, Srikanth, Andrew, Alyson, Attrill, Elizabeth, Campbell, Graham, Datson, Amanda, Fouracres, Anna, Graterol, Juan, Graves, Lynne, Hong, Bosun, Ishimaru, Alexander, Karthikeyan, Arvind, King, Helen, Lawson, Tom, Lee, Gregory, Lyons, Saoirse, Macalister Hall, Andrew, Mathoulin, Sophie, Mcintyre, Eilidh, Mclaughlin, Danny, Mulcahy, Kathleen, Ratcliffe, Anna, Robbins, Jame, Sung, Weilin, Tayo, Adeoluwa, Trembath, Lisa, Venugopal, Suneetha, Walker, Robert, Wigmore, Geoffrey, Boereboom, Catherine, Downes, Charlotte, Humphries, Ryan, Melbourne, Susan, Smith, Coral, Tou, Samson, Ullah, Shafa, Batchelor, Nick, Boxall, Leigh, Broomby, Rupert, Deen, Tariq, Hellewell, Alistair, Helliwell, Laurence, Hutchings, Melanie, Hutchins, David, Keenan, Samantha, Mackie, Donna, Donna, Alison, Smith, France, Stone, Lucy, Thorpe, Kevin, Wassall, Richard, Woodgate, Andrew, Baillie, Shelley, Campbell, Tara, James, Sarah, King, Chri, Marques de Araujo, Daniela, Martin, Daniel, Morkane, Clare, Neely, Julia, Rajendram, Rajkumar, Burton, Megan, James, Kathryn, Keevil, Edward, Minik, Orsolya, Morgan, Jenna, Musgrave, Anna, Rajanna, Harish, Roberts, Tracey, Adamson, Michael, Jumbe, Sandra, Kendall, Jennie, Muthuswamy, Mohan Babu, Anderson, Charlotte, Cruikshanks, Andrew, Wrench, Ian, Zeidan, Lisa, Ardern, Diane, Harris, Benjamin, Hellstrom, Johanna, Martin, Jane, Thomas, Richard, Varsani, Nimu, Wrey Brown, Caroline, Docherty, Philip, Gillies, Michael, McGregor, Euan, Usher, Helen, Craig, Jayne, Smith, Andrew, Ahmad, Tahania, Bodger, Phoebe, Creary, Thai, Fowler, Alexander, Hewson, Ru, Ijuo, Eke, Jones, Timothy, Kantsedikas, Ilya, Lahiri, Sumitra, McLean, Aaron Lawson, Niebrzegowska, Edyta, Phull, Mandeep, Wang, Difei, Wickboldt, Nadine, Baldwin, Jacqueline, Doyle, Donna, Mcmullan, Sean, Oladapo, Michelle, Owen, Thoma, Williams, Alexandra, Daniel, Hull, Gregory, Peter, Husain, Tauqeer, Kirk-Bayley, Justin, Mathers, Edward, Montague, Laura, White, Stuart, Avis, Joanne, Cook, Tim, Dali-Kemmery, Lola, Kerslake, Ian, Lambourne, Victoria, Pearson, Annabel, Boyd, Christine, Callaghan, Mark, Lawson, Cathy, McCrossan, Roopa, Nesbitt, Vanessa, O’connor, Laura, Scott, Julia, Sinclair, Rhona, Farid, Nahla, Morgese, Ciro, Bhatia, Kailash, Karmarkar, Swati, Ahmed, Jamil, Branagan, Graham, Hutton, Monica, Swain, Andrew, Brookes, Jamie, Cornell, Jonathan, Dolan, Rachael, Hulme, Jonathan, Jansen van Vuuren, Amanda, Jowitt, Tom, Kalashetty, Gunasheela, Lloyd, Fran, Patel, Kiran, Sherwood, Nichola, Brown, Lynne, Chandler, Ben, Deighton, Kerry, Emma, Temlett, Haunch, Kirsty, Cheeseman, Michelle, Dent, Kathy, Garg, Sanjeev, Gray, Carol, Hood, Marion, Jones, Dawn, Juj, Joanne, Rao, Roshan, Walker, Tara, Al Anizi, Mashel, Cheah, Clarissa, Cheing, Yushio, Coutinho, Francisco, Gondo, Prisca, Hadebe, Bernard, Onie Hove, Mazvangu, khader, Ahamed, Krishnachetty, Bobby, Rhodes, Karen, Sokhi, Jagdish, Baker, Katie-Anne, Bertram, Wendy, Looseley, Alex, Mouton, Ronelle, Arnold, Glenn, Arya, Shobhit, Balfoussia, Danai, Baxter, Linden, Harris, Jame, Jones, Craig, Knaggs, Alison, Markar, Sheraz, Perera, Anisha, Scott, Alasdair, Shida, Asako, Sirha, Ravneet, Wright, Sally, Frost, Victoria, Gray, Catherine, MacGregor, Mark, Andrews, Emma, Arrandale, Lindsay, Barrett, Stephen, Cifra, Elna, Cooper, Mariese, Dragnea, Drago, Elna, Cifra, Maclean, Jennifer, Meier, Sonja, Milliken, Donald, Munns, Christopher, Ratanshi, Nadir, Salvana, Abegail, Watson, Anthony, Ali, Hani, Campbell, Gill, Critchley, Rebecca, Hicks, Catherine, Liddle, Alison, Pass, Marc, Ritchie, Charlotte, Thomas, Charlotte, Too, Lingxi, Welsh, Sarah, Gill, Talvinder, Johnson, Joanne, Reed, Joanne, Davis, Edward, Papadopoullos, Sam, Attwood, Clare, Biffen, Andrew, Boulton, Kerenza, Gray, Sophie, Hay, David, Mills, Sarah, Montgomery, Jane, Riddell, Rory, Simpson, Jame, Bhardwaj, Neeraj, Paul, Elaine, Uwubamwen, Nosakhare, Alexander, Maini, Arrich, Jame, Arumugam, Swarna, Blackwood, Dougla, Boggiano, Victoria, Brown, Robyn, Lam Chan, Yik, Chatterjee, Devnandan, Chhabra, Ashok, Christian, Rachel, Costelloe, Hannah, Coxwell Matthewman, Madeline, Dalton, Emma, Darko, Julia, Davari, Maria, Dave, Tejal, Deacon, Matthew, Deepak, Shantal, Edmond, Holly, Ellis, Jessica, El-Sayed, Ahmed, Eneje, Philip, English, Rose, Ewe, Renee, Foers, William, Franklin, John, Gallego, Laura, Garrett, Emily, Goldberg, Olivia, Goss, Harry, Greaves, Rosanna, Harris, Rudy, Hennings, Charle, Jones, Eleanor, Kamali, Nelson, Kokkinos, Naomi, Lewis, Cary, Lignos, Leda, Malgapo, Evaleen Victoria, Malik, Rizwana, Milne, Andrew, Mulligan, John-Patrick, Nicklin, Philippa, Palipane, Natasha, Parsons, Thoma, Piper, Rebecca, Prakash, Rohan, Ramesh, Byron, Rasip, Sarah, Reading, Jacob, Rela, Mariam, Reyes, Anna, Robert, Stephen, Rooms, Martin, Shah, Karishma, Simons, Henry, Solanki, Shalil, Spowart, Emma, Stevens, Amy, Thomas, Christopher, Waggett, Helena, Yassaee, Arrash, Kennedy, Anthony, Scott, Sara, Somanath, Sameer, Berg, Andrew, Hernandez, Miguel, Nanda, Rajesh, Tank, Ghanshyambhai, Wilson, Natalie, Wilson, Debbie, Al-Soudaine, Yassr, Baldwin, Matthew, Cornish, Julie, Davies, Zoe, Davies, Leigh, Edwards, Marc, Frewer, Natasha, Gallard, Sian, Glasbey, Jame, Harries, Rhiannon, Hopkins, Luke, Kim, Taeyang, Koompirochana, Vilavan, Lawson, Simon, Lewis, Megan, Makzal, Zaid, Scourfield, Sarah, Ahmad, Yousra, Bates, Sarah, Blackwell, Clare, Bryant, Helen, Coulter, Suzanne, Cruickshank, Ro, Daniel, Sonya, Daubeny, Thoma, Edwards, Mark, Golder, Kim, Hawkins, Lesley, Helen, Bryant, Hinxman, Honor, Levett, Denny, Skinner, Ben, Walsgrove, Joseph, Dickson, Jane, Constantin, Kathryn, Karen, Markwell, O’Brien, Peter, O’Donohoe, Lynn, Payne, Hannah, Sundayi, Saul, Walker, Elaine, Brooke, Jenny, Cardy, Jon, Humphreys, Sally, Kessack, Laura, Kubitzek, Christiane, Kumar, Suha, Cotterill, Donna, Hodzovic, Emil, Hosdurga, Gurunath, Miles, Edward, Saunders, Glenn, Campbell, Marta, Chan, Peter, Jemmett, Kim, Raj, Ashok, Naik, Aditi, Ramamoorthy, Rajarajan, Shah, Nimesh, Sylvan, Axel, Blyth, Katharine, Burtenshaw, Andrew, Freeman, David, Johnson, Emily, Lo, Philip, Martin, Terry, Plunkett, Emma, Wollaston, Julie, Allison, Joanna, Carroll, Christine, Craw, Nichola, Craw, Sarah, Pitt-Kerby, Tressy, Rowland-Axe, Rebecca, Spurdle, Katie, McDonald, Andrew, Simon, Davie, Sinha, Vivek, Smith, Thoma, Banner-Goodspeed, Valerie, Boone, Myle, Campbell, Kathleen, Lu, Fengxin, Scannell, Joseph, Sobol, Julia, Balajonda, Naraida, Clemmons, Karen, Conde, Carlo, Funk, Bonita, Hall, Roger, Hopkins, Thoma, Olaleye, Omowunmi, Omer, Omer, Pender, Michelle, Porto, Angelo, Stevens, Alice, Waweru, Peter, Yeh, Erlinda, Bodansky, Daniella, Evans, Adam, Kleopoulos, Steven, Maril, Robert, Mathney, Edward, Sanchez, Angela, Tinuoye, Elizabeth, Bateman, Brian, Eng, Kristen, Jiang, Ning, Ladha, Karim, Needleman, Joseph, Chen, Lee-lynn, Lane, Rondall, Robinowitz, David, Ghushe, Neil, Irshad, Mariam, Patel, Samir, Takemoto, Steven, Wallace, Art, Mazzeffi, Michael, Rock, Peter, Wallace, Karin, Zhu, Xiaomao, Chua, 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Subjects: Male, HSJ UCI, Critical Care and Intensive Care Medicine, law.invention, Perioperative Care/methods, 0302 clinical medicine, Surgical procedures, 030202 anesthesiology, law, Critical care/utilisation, Postoperative care/methods, Postoperative care/statistics and numerical data, Surgical procedures, operative/mortality, statistics and numerical data, Prospective Studies, Postoperative Period, Postoperative care/methods, education.field_of_study, Postoperative care/method, Elective Surgical Procedures/mortality, fluid output, Middle Aged, fluid administration, Intensive care unit, Hospitalization, Length of Stay/statistics & numerical data, operative/mortality, Intensive Care Units/statistics & numerical data, outcome, Female, Elective Surgical Procedure, Human, Adult, medicine.medical_specialty, Logistic Model, Postoperative care/statistics and numerical data, Critical care/utilisation, Population, Intensive Care Unit, Elective Surgical Procedures/statistics & numerical data, Hospitalization/statistics & numerical data, Humans, Logistic Models, Surgical procedures, operative/mortality, Postoperative care, methods, Perioperative Care, NO, 03 medical and health sciences, Anesthesiology, Intensive care, medicine, Elective surgery, Intensive care medicine, education, business.industry, 030208 emergency & critical care medicine, Perioperative, Length of Stay, Clinical trial, Prospective Studie, septic shock, business
Abstract: PURPOSE: As global initiatives increase patient access to surgical treatments, there is a need to define optimal levels of perioperative care. Our aim was to describe the relationship between the provision and use of critical care resources and postoperative mortality. METHODS: Planned analysis of data collected during an international 7-day cohort study of adults undergoing elective in-patient surgery. We used risk-adjusted mixed-effects logistic regression models to evaluate the association between admission to critical care immediately after surgery and in-hospital mortality. We evaluated hospital-level associations between mortality and critical care admission immediately after surgery, critical care admission to treat life-threatening complications, and hospital provision of critical care beds. We evaluated the effect of national income using interaction tests. RESULTS: 44,814 patients from 474 hospitals in 27 countries were available for analysis. Death was more frequent amongst patients admitted directly to critical care after surgery (critical care: 103/4317 patients [2%], standard ward: 99/39,566 patients [0.3%]; adjusted OR 3.01 [2.10-5.21]; p < 0.001). This association may differ with national income (high income countries OR 2.50 vs. low and middle income countries OR 4.68; p = 0.07). At hospital level, there was no association between mortality and critical care admission directly after surgery (p = 0.26), critical care admission to treat complications (p = 0.33), or provision of critical care beds (p = 0.70). Findings of the hospital-level analyses were not affected by national income status. A sensitivity analysis including only high-risk patients yielded similar findings. CONCLUSIONS: We did not identify any survival benefit from critical care admission following surgery. info:eu-repo/semantics/publishedVersion
Published: 2017
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10. Primary needle-knife fistulotomy for preventing post-endoscopic retrograde cholangiopancreatography pancreatitis: importance of the endoscopist’s expertise level

Author: Geun Am Song, Moon Won Lee, Sung Yong Han, Dong Uk Kim, Chang Joon Park, Young Joo Park, and Dong Hoon Baek
Subjects: medicine.medical_specialty, Endoscopic retrograde cholangiopancreatography, Expertise levels, medicine.diagnostic_test, business.industry, General surgery, education, Needle-knife fistulotomy, General Medicine, Fistulotomy, medicine.disease, surgical procedures, operative, Pancreatitis, Retrospective Study, Primary biliary cannulation, Medicine, sense organs, Needle knife, business
Abstract: Background Needle-knife fistulotomy (NKF) is used as a rescue technique for difficult cannulation. However, the data are limited regarding the use of needle-knife fistulotomy for primary biliary cannulation, especially when performed by beginners. To assess the effectiveness and safety of primary NKF for biliary cannulation, and the role of the endoscopist’s expertise level (beginner vs. expert). Methods We retrospectively evaluated the records of 613 patients with naïve papilla and no history of pancreatitis, who underwent bile duct cannulation at a tertiary referral center. The patients were categorized according to the endoscopist’s expertise level and the technique used for bile duct cannulation. We assessed the rates of successful cannulation and adverse events. Results The baseline characteristics did not differ between the pre-defined groups. The incidence rate of post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) was significantly affected by the endoscopist’s expertise level in patients who received conventional cannulation with sphincterotomy (11.3% vs. 5.7% for beginner vs. expert, P =0.033), but not in those who received NKF. In the multivariable analysis, a lower expertise level of the biliary endoscopist and longer cannulation time were significant risk factor of post-endoscopic retrograde cholangiopancreatography pancreatitis ( P =0.030, P =0.005) in patients who received conventional cannulation with sphincterotomy but not in those who received NKF. Conclusion Compared to conventional cannulation with sphincterotomy, primary NKF carries a lower risk of PEP regardless of the endoscopist’s level of expertise. Primary NKF may be effective and safe in achieving ductal access in patients with naïve papilla.
Published: 2020
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11. A simplified (modified) Duke Activity Status Index (M-DASI) to characterise functional capacity: a secondary analysis of the Measurement of Exercise Tolerance before Surgery (METS) study

Author: Harindra C. Wijeysundera, Marcin Wasowicz, M. Ellis, S. Pitt, Robert C M Stephens, Ethel Black, N. McMillan, B. Riedel, J. Tai, Manuel Pinto, Lisa Loughney, C. Wilde, D. Bramley, H. Thompson, H. Lawrence, Y. Kirabiyik, E. Smith, C. Bolger, Usha Gurunathan, N. Tantony, Hannah Collins, Timothy G. Short, A. Raj, Thais Creary, N. Ami, B. Borg, S. Gabriel, A.M. Southcott, S. Yagnik, D. Campbell, A. Hunt, Chang Joon Kim, Paul Oh, T. Ahmad, Sarah James, C. Crescini, K. Hagen, J. Malherbe, M. Lorimer, R. Raobaikady, D. Mcallister, R. Jang, Annette Dent, L. Day, Philip Masel, Helder Filipe, W.S. Beattie, J.K. Higgie, Thomas Painter, M. Gertsman, Angela Jerath, H. Sivakumar, Christopher X. Wong, A. Jason-Smith, M. Stanbrook, Marta Januszewska, L. Lee, Keyvan Karkouti, Phoebe Bodger, G. Back, P. Sivalingam, Michael H-G. Li, Andrew Macalister Hall, Hugh Taylor, J. Douglas, Helen Houston, K. Steele, R. Belliard, Kirsty Everingham, Ellen Waymouth, Shelly Au, S. Macklin, C.H. Angus Lee, E. Wright, Bruce Thompson, A. Bodger, Jeffrey J. Pretto, Mark J. Edwards, Edyta Niebrzegowska, J. Whalley, Fiona H. Marshall, M. Lum, S. Allen, Mandeep-Kaur Phull, C.D. Mazer, Christopher A. Stonell, Daniel Martin, K. Brunello, John J McNeil, Sandy Jack, Neil MacDonald, A. Gutierrez del Arroyo, S. Bates, Richard Brull, Graham S Hillis, A. Kennedy, J. Kunasingam, J. Pazmino-Canizares, Hilmy Ismail, Karen Salmon, M. Towns, L. Andrews, Gareth L. Ackland, M. Melo, A. Murmane, Kwok M. Ho, Karen Dobson, K. Pirie, R. Miller, J. Samuels, Richard Haslop, J. Brannan, J. Kumar, R Kerridge, Michael Celinski, S. Wallace, John Grant, P. Dalley, Leanne Seaward, Colin J L McCartney, Christian M. Beilstein, Stuart A. McCluskey, J. Van Der Westhuizen, Shaman Jhanji, S. Kynaston, Kate Leslie, L. Gallego-Paredes, J. Dimech, R. Lifford, M.G. Godsall, Vincent W. S. Chan, Andrew M. Brown, L. Navarra, Ying Hu, Marlynn Ali, M. Koutra, Brian H. Cuthbertson, N Terblanche, Stephen Choi, Helen A. Lindsay, M. Abolfathi, Hance Clarke, Bryony Tyrell, Duminda N. Wijeysundera, A.M. Carrera, Martin Rooms, R. Sara, Oystein Tronstad, P. Somascanthan, H. Ismail, K. Greaves, S. Olliff, A. MacCormick, A. Collingwood, Adrian D. Elliott, M. Pakats, Muhammad Mamdani, K. Kenchington, C. Corriea, Denny Z. H. Levett, K. Flores, S. Hurford, Anmol Yagnik, A. Tippett, Bernhard Riedel, Anna Reyes, A. Melville, N. Beauchamp, and Kim Golder
Subjects: Male, medicine.medical_specialty, Cross-sectional study, Health Status, Preoperative care, Risk Assessment, 03 medical and health sciences, 0302 clinical medicine, Postoperative Complications, 030202 anesthesiology, Anesthesiology, Secondary analysis, Surveys and Questionnaires, Preoperative Care, medicine, Humans, Aged, Exercise Tolerance, business.industry, VO2 max, Middle Aged, Surgery, Anesthesiology and Pain Medicine, Activity Status, Cross-Sectional Studies, Exercise Test, Female, Risk assessment, business, Anaerobic exercise
Abstract: Background Accurate assessment of functional capacity, a predictor of postoperative morbidity and mortality, is essential to improving surgical planning and outcomes. We assessed if all 12 items of the Duke Activity Status Index (DASI) were equally important in reflecting exercise capacity. Methods In this secondary cross-sectional analysis of the international, multicentre Measurement of Exercise Tolerance before Surgery (METS) study, we assessed cardiopulmonary exercise testing and DASI data from 1455 participants. Multivariable regression analyses were used to revise the DASI model in predicting an anaerobic threshold (AT) >11 ml kg−1 min−1 and peak oxygen consumption (VO2 peak) >16 ml kg−1 min−1, cut-points that represent a reduced risk of postoperative complications. Results Five questions were identified to have dominance in predicting AT>11 ml kg−1 min−1 and VO2 peak>16 ml.kg−1min−1. These items were included in the M-DASI-5Q and retained utility in predicting AT>11 ml.kg−1.min−1 (area under the receiver-operating-characteristic [AUROC]-AT: M-DASI-5Q=0.67 vs original 12-question DASI=0.66) and VO2 peak (AUROC-VO2 peak: M-DASI-5Q 0.73 vs original 12-question DASI 0.71). Conversely, in a sensitivity analysis we removed one potentially sensitive question related to the ability to have sexual relations, and the ability of the remaining four questions (M-DASI-4Q) to predict an adequate functional threshold remained no worse than the original 12-question DASI model. Adding a dynamic component to the M-DASI-4Q by assessing the chronotropic response to exercise improved its ability to discriminate between those with VO2 peak>16 ml.kg−1.min−1 and VO2 peak Conclusions The M-DASI provides a simple screening tool for further preoperative evaluation, including with cardiopulmonary exercise testing, to guide perioperative management.
Published: 2020

12. Iatrogenic Development of Cerebrospinal Fluid Leakage in Diagnosing Spontaneous Intracranial Hypotension

Author: Sang-Hyeon Cho, Chang-Joon Lee, Young Ki Kim, Sung-Min Shim, and Jaeho Park
Subjects: Epidural blood patch, medicine.diagnostic_test, Cerebrospinal fluid leak, Post-dural-puncture headache, Epidural Blood Patch, business.industry, Intracranial Hypotension, Magnetic resonance imaging, Case Report, 030204 cardiovascular system & hematology, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Cerebrospinal fluid, Lumbar, Anesthesia, medicine, medicine.symptom, Post-Dural Puncture Headache, Family Practice, business, 030217 neurology & neurosurgery, Orthostatic headache, Cerebrospinal Fluid
Abstract: A 34-year-old woman came to the emergency room complaining of a severe orthostatic headache. Results of a cerebrospinal fluid tap and brain computed tomography were normal. Based on her history and symptoms, she was found to have spontaneous intracranial hypotension. She was hospitalized and her symptoms improved with conservative treatment. On the next day, her headache suddenly worsened. Cisternography was performed to confirm the diagnosis and determine the spinal level of her cerebrospinal fluid leak. It revealed multiple cerebrospinal fluid leaks in the lumbar and upper thoracic regions. It was strongly believed that she had an iatrogenic cerebrospinal fluid leak in the lumbar region. An epidural blood patch was performed level by level on the lumbar and upper thoracic regions. Her symptoms resolved after the epidural blood patch and she was later discharged without any complications. In this case, an iatrogenic cerebrospinal fluid leak was caused by a dural puncture made while diagnosing spontaneous intracranial hypotension, which is always a risk and hampers the patient's progress. Therefore, in cases of spontaneous intracranial hypotension, an effort to minimize dural punctures is needed and a non-invasive test such as magnetic resonance imaging should be considered first.
Published: 2018

13. Warped discrete cosine transform-based noisy speech enhancement

Author: Chang, Joon-Hyuk
Subjects: Electric filters -- Research, Algorithms -- Research, Algorithms -- Technology application, Algorithm, Technology application, Business, Computers and office automation industries, Electronics, Electronics and electrical industries
Abstract: In this paper, a warped discrete cosine transform (WDCT)-based approach to enhance the degraded speech under background noise environments is proposed. For developing an effective expression of the frequency characteristics of the input speech, the variable frequency warping filter is applied to the conventional discrete cosine transform (DCT). The frequency warping control parameter is adjusted according to the analysis of spectral distribution in each frame. For a more accurate analysis of spectral characteristics, the split-band approach in which the global soft decision for speech presence is performed in each band separately is employed. A number of subjective and objective tests show that the WDCT-based enhancement method yields better performance than the conventional DCT-based algorithm. Index Terms--Discrete cosine transform (DCT), frequency warping control parameter, Laguerre filter, speech enhancement, split-band global soft decision, warped DCT (WDCT).
Published: 2005

14. Regional overpower protection system analysis for the direct use of spent pressurized water reactor fuel in CANDU reactors (DUPIC)

Author: Jeong, Chang Joon and Choi, Hangbok
Subjects: Pressurized water reactors, Nuclear reactors, Business, Electronics, Electronics and electrical industries
Abstract: The regional overpower protection (ROP) system of a Canada deuterium uranium (CANDU) reactor was assessed for the direct use of spent pressurized water reactor fuel in CANDU reactors (DUPIC), including the validation of the Winfrith improved multigroup scheme (WIMS)/reactor fuelling simulation program (RFSP)/reduction power (ROVER) code system used for the calculation of the ROP trip setpoint (TSP). Comparative calculations showed that the WIMS/RFSP/ROVER code system produced results consistent with the current design code system for estimating the ROP TSP of the standard natural uranium CANDU reactor. For the DUPIC fuel CANDU core, the ROP TSP was estimated to be 123.4%, which was almost the same as that of the standard natural uranium core. The extra margin of the ROP TSP for the DUPIC fuel system was enhanced by the flattened axial channel power distribution as well as the reduced refueling ripple of the channel power. This study has shown that the DUPIC fuel does not deteriorate the current ROP TSP designed for the natural uranium CANDU reactor. Index Terms--Direct use of spent pressurized water reactor fuel in CANDU reactors (DUPIC), regional overpower protection (ROP), trip setpoint (TSP).
Published: 2005

15. Perioperative anesthetic management of a patient with catecholamine-secreting paraganglioma -A case report

Author: Sang Lee Park, Jin Woo Koh, Kwon Il Kim, Tae Woong Kim, Chang Joon Rhyu, and Sung Won Chon
Subjects: medicine.medical_specialty, business.industry, medicine.medical_treatment, Anesthetic management, 030209 endocrinology & metabolism, General Medicine, Perioperative, medicine.disease, Surgery, 03 medical and health sciences, 0302 clinical medicine, Paraganglioma, Anesthesia, medicine, Catecholamine, 030212 general & internal medicine, Embolization, business, medicine.drug
Published: 2017
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16. Risk factors for intraoperative massive transfusion in pediatric liver transplantation: a multivariate analysis

Author: Seong-Soo Choi, S. W. Kim, Seok-Joon Jin, Sung-Gyu Lee, Jung-Man Namgoong, Keum Nae Kang, Chang Joon Rhyu, Shin Hwang, and Young-Kug Kim
Subjects: medicine.medical_specialty, Blood transfusion, Adolescent, medicine.medical_treatment, Blood Loss, Surgical, Blood volume, massive transfusion, Kaplan-Meier Estimate, 030230 surgery, Liver transplantation, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, White blood cell, Medicine, Humans, risk factors, Blood Transfusion, Child, Survival analysis, business.industry, Mortality rate, Infant, Transfusion Reaction, General Medicine, Perioperative, Surgery, Liver Transplantation, Log-rank test, medicine.anatomical_structure, pediatric liver transplantation, Child, Preschool, Multivariate Analysis, 030211 gastroenterology & hepatology, business, Research Paper
Abstract: Background: Pediatric liver transplantation (LT) is strongly associated with increased intraoperative blood transfusion requirement and postoperative morbidity and mortality. In the present study, we aimed to assess the risk factors associated with massive transfusion in pediatric LT, and examined the effect of massive transfusion on the postoperative outcomes. Methods: We enrolled pediatric patients who underwent LT between December 1994 and June 2015. Massive transfusion was defined as the administration of red blood cells ≥100% of the total blood volume during LT. The cases of pediatric LT were assigned to the massive transfusion or no-massive transfusion (administration of red blood cells
Published: 2017

17. Concurrent meralgia paresthetica and radiculopathy of the left leg -A case report

Author: Keum Nae Kang, Young-Soon Choi, Young Uk Kim, Sung Won Chon, Chang Joon Rhyu, Yun-Sic Bang, Young Su Lim, and Jee In Yoo
Subjects: medicine.medical_specialty, business.industry, Intervertebral disc, General Medicine, Thigh, medicine.disease, Surgery, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, 030202 anesthesiology, medicine, business, 030217 neurology & neurosurgery, Meralgia paresthetica
Published: 2017
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18. Simulation of 3D Virtual Space Model Based on Texture Image & Structure Analysis

Author: Chang-Joon Park, Dong-Wan Ryoo, and Kyung-Kyu Kang
Subjects: Computer science, business.industry, 3D reconstruction, Virtual space, 020207 software engineering, 02 engineering and technology, Texture (music), Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Enhanced Data Rates for GSM Evolution, business, Normal
Abstract: In this paper, we employ a 3D reconstruction technique using the multi-view images, i.e., one of the 3D data generation methods. we provide an algorithm for simulating seasonal changes, such as autumn or winter contents, from summer contents in a 3D virtual space model. This algorithm uses two-dimensional (2D) texture analysis and 3D structure analysis in the virtual space model for the simulation. The 2D texture analysis is based on the color and edge components of the texture image. The 3D structure analysis is performed using the normal vector components corresponding to the mesh of the objects. The advantages of the proposed algorithm are as follows. It is efficient in terms of time and cost, as it is not necessary to take pictures every season for producing seasonal 3D contents. This algorithm provides increased efficiency, owing to the small processing computations. It is possible to provide various contents to the user by using only one input source.
Published: 2019
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19. Snow Accumulation Effects in Screen Space for Real-Time Terrain Rendering

Author: Dong-Wan Ryoo, Kyung-Kyu Kang, and Chang-Joon Park
Subjects: business.industry, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 020207 software engineering, Terrain, Raised-relief map, Screen space, 02 engineering and technology, Terrain rendering, 010501 environmental sciences, Snow, 01 natural sciences, Real-time rendering, Rendering (computer graphics), Computer graphics, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Artificial intelligence, business, ComputingMethodologies_COMPUTERGRAPHICS, 0105 earth and related environmental sciences
Abstract: We propose a method to create a realistic snow accumulation effect in screen space for realistic natural environment rendering. Existing algorithms are not suitable for low-polygon terrain because they need high-resolution features on the surface. We develop a technique to enhance the resolution of the surface’s normal as geometrical features by extracting details from a decal texture of a terrain model. Our algorithm is implemented on GPU totally, and since it works as a postprocessing effect, it can be performed in the real-time calculation. Moreover, it is not dependent on the size and shape of the terrain. Our algorithm can be easily integrated into a common real-time rendering engine and can be applied a various type of terrain data which has decal textures.
Published: 2019
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20. Fusion pipeline of 3D terrain data from different input images

Author: Chang-Joon Park, Hye Sun Kim, and Yun Ji Ban
Subjects: Fusion, Computer science, business.industry, 3d terrain, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Polygon mesh, Computer vision, Artificial intelligence, business, Aerial image, ComputingMethodologies_COMPUTERGRAPHICS
Abstract: Nowadays, researches for reconstructing 3D terrain from images are being widely carried out. The result of reconstruction according to the kind of the input image is different. In this paper, we propose a 3D terrain fusion method of textured mesh models reconstructed from different altitude images or generated by hand. We merged 3D models depending on the priority and connected edges seamlessly.
Published: 2019
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21. Digital Surface Model Generation based on Satellite Images

Author: Lee Man Hee, Jung-Jae Yu, and Chang-Joon Park
Subjects: Matching (graph theory), Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 0211 other engineering and technologies, Satellite imagery, Computer vision, Satellite, 02 engineering and technology, Artificial intelligence, Digital surface, business, 021101 geological & geomatics engineering
Abstract: We propose an algorithm for computing digital surface model from several satellite images of same site. The proposed method is applicable not only to stereo pair images, but also to multi-mono images of the same region independently taken by different satellites at different times. We used multiview stereo approach in satellite imagery using semi-global matching to acquire depth maps. In order to minimize the deterioration effect caused by photographing the same area with different satellites at different times, we use the knowldege of structural characteristics in the shooting space that can be assumed in the satellite image. The proposed method was performed to generate DSM based on World View3 satellite images and it is confirmed that the detailed shape of a building can be identified in the DSM.
Published: 2019
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22. What Makes the Kidney Susceptible to Hypoxia?

Author: David Smith, Jennifer P. Ngo, Bruce S. Gardiner, Chang Joon Lee, and Roger G. Evans
Subjects: 0301 basic medicine, medicine.medical_specialty, Histology, Renal cortex, Kidney, Peritubular capillaries, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Renal medulla, Animals, Humans, Hypoxia, Ecology, Evolution, Behavior and Systematics, urogenital system, Reabsorption, business.industry, Acute kidney injury, Hemodynamics, Hypoxia (medical), medicine.disease, Vasodilation, 030104 developmental biology, Endocrinology, medicine.anatomical_structure, Anatomy, medicine.symptom, business, 030217 neurology & neurosurgery, Biotechnology, Kidney disease
Abstract: Per gram of tissue, the kidneys are among our most highly perfused organs. Yet the renal cortex and, in particular, the renal medulla are susceptible to hypoxia. In turn, hypoxia is a major pathophysiological feature of both acute kidney injury and chronic kidney disease. We identify seven factors that render the kidney susceptible to hypoxia: (1) the large metabolic demand imposed by active reabsorption of sodium; (2) limitations on oxygen delivery to cortical tissue imposed by the density of peritubular capillaries; (3) the poor capacity for angiogenesis in the adult kidney; (4) the limited ability of the renal vasculature to dilate in response to hypoxia; (5) diffusive oxygen shunting between arteries and veins in the cortex and descending and ascending vasa recta in the medulla; (6) the physiological requirement for low medullary blood flow to facilitate urinary concentration; and (7) the topography of vascular-tubular arrangements in the outer medulla that limit oxygen delivery to the thick ascending limb of Henle's loop. Recent collaborative efforts between anatomists, physiologists, and mathematicians have improved our understanding of the roles of these factors in both physiological regulation of intrarenal oxygenation and development of renal hypoxia under pathophysiological conditions. We are also better able to understand these apparent maladaptations in the context of evolution. That is, they can be explained by the combined effects of historical contingency (our ancestral life in the sea) and selection pressures imposed by the multiple functions of the kidney to regulate extracellular fluid volume, retain water, and control erythrocyte production.
Published: 2019

23. Evaluation of structural integrity of the HP vaporizer and pipes of LNG fuel gas supply system

Author: Chang-Joon Lee, Jong-Rae Cho, Joo-Hwan Yoon, Chang-Soo Kim, and Ha，Man-Yeong
Subjects: Engineering, Fuel gas, Petroleum engineering, Waste management, business.industry, Structural integrity, Vaporizer, business
Published: 2016
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24. Detection of diarrheagenic pathogens from feces and incidence of diarrhea in Korean calves

Author: Suck-Han Jeong, Do-Hyeon Yu, Bae-Keun Park, Suhee Kim, Jeong-Byoung Chae, Joon-Seok Chae, Kyoung-Seong Choi, Sungwoo Kang, A-Ra Jo, Hyeon-Cheol Kim, Chang-Joon Lee, Jin-Hee Kang, Young-Sung Lee, Jinho Park, and Jae Gyu Yoo
Subjects: Diarrhea, Veterinary medicine, biology, business.industry, Incidence (epidemiology), medicine, Giardia, medicine.symptom, biology.organism_classification, business, Pathogen, Feces
Published: 2016
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25. An Interactive 3D Mesh Editing System for Printing Object Larger Than the Printing Volume of 3D Printer

Author: Chang-Joon Park, Jin Sung Choi, Chang Woo Chu, and Kap Kee Kim
Subjects: Engineering, Engineering drawing, business.industry, Interactive 3d, Volume (computing), 3D printing, 020207 software engineering, 02 engineering and technology, Object (computer science), 01 natural sciences, 0104 chemical sciences, 3d printer, 010404 medicinal & biomolecular chemistry, Computer graphics (images), 0202 electrical engineering, electronic engineering, information engineering, business
Published: 2016
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26. A comparison of oxycodone and fentanyl in the management of early postoperative pain and for patient-controlled analgesia after total abdominal hysterectomy

Author: Jin Sun Kim, Chang-Joon Lee, and Dong Kyun Seo
Subjects: business.industry, Patient-controlled analgesia, medicine.medical_treatment, Postoperative pain, General Medicine, Fentanyl, 03 medical and health sciences, 0302 clinical medicine, 030202 anesthesiology, Anesthesia, Medicine, 030212 general & internal medicine, business, Oxycodone, Abdominal hysterectomy, medicine.drug
Published: 2016
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27. Prediction of thrombus formation using vortical structures presentation in Stanford type B aortic dissection: A preliminary study using CFD approach

Author: Chang Joon Lee, Shahrul Amry Hashim, Einly Lim, Wan Naimah Wan Ab Naim, Poo Balan Ganesan, Yi Qian, Zhonghua Sun, Shirley Jansen, and Yih Miin Liew
Subjects: Aortic dissection, medicine.medical_specialty, Cardiac cycle, business.industry, Applied Mathematics, 0206 medical engineering, nutritional and metabolic diseases, Hemodynamics, 02 engineering and technology, Blood flow, 030204 cardiovascular system & hematology, medicine.disease, 020601 biomedical engineering, Thrombosis, Intensity (physics), 03 medical and health sciences, 0302 clinical medicine, Modeling and Simulation, Internal medicine, cardiovascular system, Cardiology, Medicine, Presentation (obstetrics), Thrombus, business
Abstract: False lumen patency has been recognized as the key determinant of aneurismal dilatation and rupture, whereas complete thrombosis has been proven clinically to improve disease outcomes. However, to date, there is no definitive method that could predict false lumen thrombosis in Stanford type B aortic dissection patient. The present study aims to use the evolution of vortical structures throughout a cardiac cycle and its interaction with the wall shear stress (WSS) to illustrate the potential mechanism behind the formation of thrombus and predict its highly possible location in an aortic dissection patient. A three-dimensional (3D) patient-specific Stanford type B aortic dissection domain was generated from computed tomography (CT) angiographic images. The effects of false lumen size on vortical structures and the subsequent risk of thrombus formation were investigated. The Carreau–Yasuda model, representing non-Newtonian fluid property was used to study the difference between Newtonian and non-Newtonian fluid settings on vortical structures. Based on our analysis, we predicted that the formation and thickening of thrombus is very much likely to occur at the posterior false lumen wall, distal to the entry tear region, in the patient. Higher λ2 intensity, associated with a higher maximum WSS and a lower minimum WSS, was achieved with an increase in the false lumen size, and we believed that this increases the risk of thrombus formation and thus aneurismal dilatation. On the other hand, percentage of flow entering the false lumen increased with an increase in the false lumen size, leading to a downward shift of the areas of thrombus formation along the false lumen wall.
Published: 2016
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28. Effect of CoSi2Formation Process on CMOS Transistor Electrical Properties for Sub-100-nm Memory Applications

Author: Hyo Jin Kang, Jae Goan Jeong, Jeong Hoon Park, Jeong Ho Lee, Sang Jin Kim, Byung Cheol Lee, and Chang Joon Yoo
Subjects: 010302 applied physics, Materials science, CMOS, business.industry, 0103 physical sciences, Process (computing), Optoelectronics, 02 engineering and technology, 021001 nanoscience & nanotechnology, 0210 nano-technology, business, 01 natural sciences, Electronic, Optical and Magnetic Materials
Published: 2016
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29. Thermal Performance Visualization Using Object−Oriented Physical and Building Information Modeling

Author: WoonSeong Jeong, Wei Yan, and Chang Joon Lee
Subjects: Engineering drawing, building information modeling, Computer science, Interface (Java), 020209 energy, thermal energy performance simulation, 0211 other engineering and technologies, 02 engineering and technology, Building design, lcsh:Technology, lcsh:Chemistry, Information visualization, 021105 building & construction, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, lcsh:QH301-705.5, Instrumentation, Fluid Flow and Transfer Processes, Object-oriented programming, Application programming interface, lcsh:T, business.industry, Process Chemistry and Technology, General Engineering, object−oriented physical modeling, lcsh:QC1-999, Computer Science Applications, Visualization, lcsh:Biology (General), lcsh:QD1-999, Building information modeling, lcsh:TA1-2040, information visualization, User interface, lcsh:Engineering (General). Civil engineering (General), business, lcsh:Physics
Abstract: This study demonstrates the research and development of a visualization method called thermal performance simulation. The objective of this study is providing the results of thermal performance simulation results into building information modeling (BIM) models, displaying a series of thermal performance results, and enabling stakeholders to use the BIM tool as a common user interface in the early design stage. This method utilizes a combination of object-oriented physical modeling (OOPM) and BIM. To implement the suggested method, a specific BIM authoring tool called the application programming interface (API) was adopted, as well as an external database to maintain the thermal energy performance results from the OOPM tool. Based on this method, this study created a prototype called the thermal energy performance visualization (TEPV). The TEPV translates the information from the external database to the thermal energy performance indicator (TEPI) parameter in the BIM tool. In the TEPI, whenever BIM models are generated for building design, the thermal energy performance results are visualized by color-coding the building components in the BIM models. Visualization of thermal energy performance results enables non-engineers such as architects to explicitly inspect the simulation results. Moreover, the TEPV facilitates architects using BIM as an interface in building design to visualize building thermal energy performance, enhancing their design production at the early design stages.
Published: 2020
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30. A review of cases seen at a psychodermatology clinic in Singapore

Author: Chang-Joon Park, Su-Ping Regina Lim, Kin-Mun Eugene Wuan, Wei-Liang Koh, and Yong-Kwang Tay
Subjects: Adult, Male, medicine.medical_specialty, Adolescent, MEDLINE, Comorbidity, Skin Diseases, Young Adult, medicine, Humans, Young adult, Child, General Psychology, Aged, Retrospective Studies, Singapore, business.industry, Mental Disorders, Retrospective cohort study, General Medicine, Psychodermatology, Middle Aged, medicine.disease, Psychiatry and Mental health, Family medicine, Female, business
Published: 2020
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31. 3D Mesh Reconstruction from Height map and Post Processing

Author: Chang joon, Yun Ji Ban, and Hye Sun Kim
Subjects: Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 0211 other engineering and technologies, Process (computing), 020207 software engineering, 02 engineering and technology, Solid modeling, Iterative reconstruction, Image (mathematics), Lidar, 0202 electrical engineering, electronic engineering, information engineering, Height map, Polygon mesh, Computer vision, Artificial intelligence, business, ComputingMethodologies_COMPUTERGRAPHICS, 021101 geological & geomatics engineering
Abstract: Nowadays, researches for reconstructing 3D terrain from images are being widely carried out. The method of reconstruction according to the kind of the input image and the post-processing process after reconstruction are different. In this paper, we propose a 3D mesh generation and post-processing method based on a height map generated from a satellite image. First, we generate 3D mesh based on height map, then execute refinement of 3D mesh to remove stair shape on the side of building, and finally simplify them.
Published: 2018
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32. Haze Simulation Based on a Physical Modeling and Improved Image Visibility Restoration

Author: Dong-Wan Ryoo, Kyung-Kyu Kang, and Chang-Joon Park
Subjects: Haze, Channel (digital image), Computer science, business.industry, Visibility (geometry), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Boundary (topology), 02 engineering and technology, Transmission (telecommunications), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Enhanced Data Rates for GSM Evolution, Artificial intelligence, business, Image restoration, ComputingMethodologies_COMPUTERGRAPHICS
Abstract: In this paper, we design hazing based on a physical modeling and propose a method to dehaze by efficiently estimating the transmission amount from fog images. He [9] proposed a single image visibility restoration method using dark channel prior (DCP). Among many algorithms, this DCP algorithm is known to have good performance in various fog images. However, this method requires matting processing, which requires a large amount of computation to refine the block type of the transmission amount. In this paper, we propose an improved image visibility restoration algorithm that estimates the transmission amount using a hybrid-type multi-filter based on edge intensity information to more accurately remove haze at the boundary. Through the experiment of a proposed algorithm, we show that haze is effectively eliminated without using matting processing. In particular, the algorithm is more effective at the boundary region.
Published: 2018
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33. A seamless texture color adjustment method for large-scale terrain reconstruction

Author: Yun Ji Ban, Hye Sun Kim, and Chang-Joon Park
Subjects: Color difference, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020206 networking & telecommunications, 020207 software engineering, Terrain, 02 engineering and technology, Texture (geology), 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Artificial intelligence, Scale (map), business, Texture reconstruction, ComputingMethodologies_COMPUTERGRAPHICS
Abstract: We present a technique to generate realistic high quality texture with no seams suitable to reconstruct large-scale 3D terrains. We focused on adjusting color difference caused by camera variations and illumination transition for texture reconstruction pipelines. Seams between separated processing areas should also be considered important in large terrain models. The proposed technique corrects these problems by normalizing texture colors and interpolating texture adjustment colors.
Published: 2018
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34. Assessment of functional capacity before major non-cardiac surgery: an international, prospective cohort study

Author: Tom E.F. Abbott, Johan Malherbe, Hannah Collins, Chang Joon Kim, Michelle Gertsman, Charmagne Crescini, Andrew MacCormick, Brigette Borg, J. Tai, Miriam Towns, Rene Belliard, Althea Ambosta, Rupert M Pearse, Mandeep Phull, H. Lawrence, Martin Rooms, Denny Z. H. Levett, Sandra Allen, Stuart A. McCluskey, Maria Koutra, Shaman Jhanji, Mathew Ellis, Fiona H. Marshall, Kevin E. Thorpe, Sally Hurford, Anna Tippett, Colin J. L. McCartney, Adrian Hall, Gareth L. Ackland, Paul Oh, K. Pirie, T. Ahmad, Harindra C. Wijeysundera, R Kerridge, Miriam Abolfathi, J. Douglas, Rhiannon Lifford, Simon Macklin, C. David Mazer, Edyta Niebrzegowska, Alanna Bodger, Magda Melo, J. Whalley, Marta Januszewska, Julian Dimech, Pheobe Bodger, Alistair Brown, Ann Kennedy, Douglas M Campbell, S. Olliff, Angela Jerath, Anna Maria Carrera, Anmol Yagnik, Bernhard Riedel, Andrew Murmane, Philip Masel, Manuel Pinto, Sanjay Yagnik, N Terblanche, Paul S. Myles, Leanlove Navarra, Sophie Wallace, W. Scott Beattie, Robert C M Stephens, Pal Sivalingam, Helder Filipe, Thais Creary, Geraldine Back, Guy Godsall, Natasha Tantony, Stephen Choi, Ellen Waymouth, Kirsty Everingham, Adrian D. Elliott, Chris Wilde, Sandy Jack, Natalie McMillan, Katherine Steele, Mark A Shulman, Mark J. Edwards, Helen Houston, Vincent W. S. Chan, Catherine Farrington, Lauren Day, Kushlin Higgie, Hugh Taylor, Shelly Au, John Brannan, Clare Bolger, Bruce Thompson, Andrew Melville, John Grant, Katherine Hagen, Paul Dalley, Daniel Martin, Reuben Miller, Muhammad Mamdani, Hilmy Ismail, Harry Sivakumar, Karen Salmon, N. Ami, Joanne Samuel, Graham S. Hillis, D. Bramley, H. Thompson, Ravishanar Raobaikady, Michael Lorimer, Andrew Collingwood, Yesim Kirabiyik, Michael Celinski, Ewan Wright, Usha Gurunathan, R. Sara, Carmen Corriea, Sharon Gabriel, Emma Smith, Lynn Andrews, Janarthanee Kunasingam, Ryan Jang, Kim Golder, Hance Clarke, Laura Gallego-Paredes, Kate Leslie, Jane McNeil, Thomas Painter, Timothy G. Short, Mari Liis Pakats, Brian H. Cuthbertson, Adelaide Jason-Smith, Bryony Tyrell, K. Flores, D. Mcallister, Samantha Bates, Anna Reyes, Helen A. Lindsay, Jonathan Kumar, John Granton, Richard Brull, Nicola Beauchamp, Marcin Wasowicz, Duminda N. Wijeysundera, Leanne Seaward, Kate Brunello, Mark Lum, Jeffrey J. Pretto, Lisa Loughney, Ethel Black, Ying Hu, Simon Pitt, Chris Stonell, Marlynn Ali, Ashok Raj, Kay Kenchington, Matthew Stanbrook, Michael P.W. Grocott, Annette Dent, Anna Hunt, Sarah James, A.M. Southcott, Joreline Van Der Westhuizen, Keyvan Karkouti, Ana Gutierrez del Arroyo, J. Pazmino-Canizares, N Macdonald, Leanna Lee, Richard Haslop, K. Greaves, Stephen Kynaston, Bernard L. Croal, Elizabeth B. Torres, Karen Dobson, Christian M. Beilstein, Christopher X. Wong, Oystein Tronstad, and P. Somascanthan
Subjects: Male, medicine.medical_specialty, Internationality, Health Status, 030204 cardiovascular system & hematology, Risk Assessment, Sensitivity and Specificity, Metabolic equivalent, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Postoperative Complications, 030202 anesthesiology, Natriuretic Peptide, Brain, medicine, Humans, Myocardial infarction, Prospective Studies, Prospective cohort study, Stroke, Aged, Exercise Tolerance, business.industry, General Medicine, Odds ratio, Middle Aged, medicine.disease, Peptide Fragments, Heart failure, Emergency medicine, Exercise Test, Female, Risk assessment, business
Abstract: Summary Background Functional capacity is an important component of risk assessment for major surgery. Doctors' clinical subjective assessment of patients' functional capacity has uncertain accuracy. We did a study to compare preoperative subjective assessment with alternative markers of fitness (cardiopulmonary exercise testing [CPET], scores on the Duke Activity Status Index [DASI] questionnaire, and serum N-terminal pro-B-type natriuretic peptide [NT pro-BNP] concentrations) for predicting death or complications after major elective non-cardiac surgery. Methods We did a multicentre, international, prospective cohort study at 25 hospitals: five in Canada, seven in the UK, ten in Australia, and three in New Zealand. We recruited adults aged at least 40 years who were scheduled for major non-cardiac surgery and deemed to have one or more risk factors for cardiac complications (eg, a history of heart failure, stroke, or diabetes) or coronary artery disease. Functional capacity was subjectively assessed in units of metabolic equivalents of tasks by the responsible anaesthesiologists in the preoperative assessment clinic, graded as poor ( 10). All participants also completed the DASI questionnaire, underwent CPET to measure peak oxygen consumption, and had blood tests for measurement of NT pro-BNP concentrations. After surgery, patients had daily electrocardiograms and blood tests to measure troponin and creatinine concentrations until the third postoperative day or hospital discharge. The primary outcome was death or myocardial infarction within 30 days after surgery, assessed in all participants who underwent both CPET and surgery. Prognostic accuracy was assessed using logistic regression, receiver-operating-characteristic curves, and net risk reclassification. Findings Between March 1, 2013, and March 25, 2016, we included 1401 patients in the study. 28 (2%) of 1401 patients died or had a myocardial infarction within 30 days of surgery. Subjective assessment had 19·2% sensitivity (95% CI 14·2–25) and 94·7% specificity (93·2–95·9) for identifying the inability to attain four metabolic equivalents during CPET. Only DASI scores were associated with predicting the primary outcome (adjusted odds ratio 0·96, 95% CI 0·83–0·99; p=0·03). Interpretation Subjectively assessed functional capacity should not be used for preoperative risk evaluation. Clinicians could instead consider a measure such as DASI for cardiac risk assessment. Funding Canadian Institutes of Health Research, Heart and Stroke Foundation of Canada, Ontario Ministry of Health and Long-Term Care, Ontario Ministry of Research, Innovation and Science, UK National Institute of Academic Anaesthesia, UK Clinical Research Collaboration, Australian and New Zealand College of Anaesthetists, and Monash University.
Published: 2018

35. The surgical safety checklist and patient outcomes after surgery

Author: T.E.F. Abbott, T. Ahmad, M.K. Phull, A.J. Fowler, R. Hewson, B.M. Biccard, M.S. Chew, M. Gillies, R.M. Pearse, Rupert M. Pearse, Scott Beattie, Pierre-Alain Clavien, Nicolas Demartines, Lee A. Fleisher, Mike Grocott, James Haddow, Andreas Hoeft, Peter Holt, Rui Moreno, Naomi Pritchard, Andrew Rhodes, Duminda Wijeysundera, Matt Wilson, Tahania Ahmed, Kirsty Everingham, Russell Hewson, Marta Januszewska, Mandeep-Kaur Phull, Richard Halliwell, Mark Shulman, Paul Myles, Werner Schmid, Michael Hiesmayr, Patrick Wouters, Stefan de Hert, Suzana Lobo, Xiangming Fang, Lars Rasmussen, Emmanuel Futier, Matthieu Biais, Aurélien Venara, Karem Slim, Michael Sander, Despoina Koulenti, Kostoula Arvaniti, Mathew Chan, Atul Kulkarni, Susilo Chandra, Aida Tantri, Emad Geddoa, Muntadhar Abbas, Giorgio Della Rocca, Datin Sivasakthi, Marzida Mansor, Pastor Luna, Arthur Bouwman, Wolfgang Buhre, Vanessa Beavis, Douglas Campbell, Tim Short, Tunde Osinaike, Ricardo Matos, Ioana Grigoras, Mikhail Kirov, Denis Protsenko, Bruce Biccard, Cesar Aldecoa, Michelle Chew, Christoph Hofer, Martin Hubner, James Ditai, Tamas Szakmany, Lee Fleisher, Marissa Ferguson, Michael MacMahon, Ritchie Cherian, Helen Currow, Kathirgamanathan Kanathiban, David Gillespie, Edward Pathmanathan, Katherine Phillips, Jenifer Reynolds, Joanne Rowley, Jeanene Douglas, Ross Kerridge, Sameer Garg, Michael Bennett, Megha Jain, David Alcock, Nico Terblanche, Rochelle Cotter, Kate Leslie, Marcelle Stewart, Nicolette Zingerle, Antony Clyde, Oliver Hambidge, Adam Rehak, Sharon Cotterell, Wilson Binh Quan Huynh, Timothy McCulloch, Erez Ben-Menachem, Thomas Egan, Jennifer Cope, Paul Fellinger, Markus Haisjackl, Simone Haselberger, Caroline Holaubek, Paul Lichtenegger, Florian Scherz, Franz Hoffer, Veronika Cakova, Andreas Eichwalder, Norbert Fischbach, Reinhold Klug, Elisabeth Schneider, Martin Vesely, Reinhart Wickenhauser, Karl Gernot Grubmueller, Marion Leitgeb, Friedrich Lang, Nancy Toro, Marlene Bauer, Friedrich Laengle, Claudia Haberl, Thomas Mayrhofer, Christoph Trybus, Christian Buerkle, Karin Forstner, Reinhard Germann, Harald Rinoesl, Elke Schindler, Ernst Trampitsch, Gerhard Bogner, Daniel Dankl, Martin Duenser, Gerhard Fritsch, Ilse Gradwohl-Matis, Andreas Hartmann, Thomas Hoelzenbein, Tarkan Jaeger, Franz Landauer, Gregor Lindl, Michael Lux, Johannes Steindl, Ottokar Stundner, Christian Szabo, Jawad Bidgoli, Hans Verdoodt, Patrice Forget, David Kahn, Fernande Lois, Mona Momeni, Caroline Prégardien, Audrey Pospiech, Arnaud Steyaert, Laurent Veevaete, Dirk De Kegel, Karen De Jongh, Luc Foubert, Carine Smitz, Marcel Vercauteren, Jan Poelaert, Veerle Van Mossevelde, Jacques Abeloos, Stefaan Bouchez, Marc Coppens, Luc De Baerdemaeker, Isabel Deblaere, Ann De Bruyne, Kristine Fonck, Bjorn Heyse, Tom Jacobs, Koen Lapage, Anneliese Moerman, Martine Neckebroek, Aliaksandra Parashchanka, Nathalie Roels, Nancy Van Den Eynde, Michael Vandenheuvel, JurgenVan Limmen, Ann Vanluchene, Caroline Vanpeteghem, Piet Wyffels, Christel Huygens, Punitha Vandenbempt, Marc Van de Velde, Dimitri Dylst, Bruno Janssen, Evelien Schreurs, Fábia Berganton Aleixo, Keulle Candido, Hugo Dias Batista, Mario Guimarães, Jaqueline Guizeline, João Hoffmann, Francisco Ricardo Marques Lobo, Vinícius Nascimento, Katia Nishiyama, Lucas Pazetto, Daniela Souza, Rodrigo Souza Rodrigues, Ana Maria Vilela dos Santos, Jaquelline Jardim, Luiz Marcelo Sá Malbouisson, Joao Silva, Paulo do Nascimento Junior, Thalissa Hermínia Baio, Gabriel Isaac Pereira de Castro, Henri Roger Watanabe Oliveira, Cristina Prata Amendola, Gutemberg Cardoso, Daniela Ortega, Ana Flavia Brotto, Mirella Cristine De Oliveira, Álvaro Réa-Neto, Fernando Dias, Maria Eduarda Travi, Luiza Zerman, Pedro Azambuja, Marcos Freitas Knibel, Antonio Martins, William Almeida, Calim Neder Neto, Maria Angela Tardelli, Eliana Caser, Marcio Machado, Crisitiano Aguzzoli, Sérgio Baldisserotto, Fernanda Beck Tabajara, Fernanda Bettega, La Hore Correa Rodrigues Júnior, Julia de Gasperi, Lais Faina, Marcos Farias Nolasco, Bruna Ferreira da Costa Fischer, Mariana Fosch de Campos Ferreira, Cristina Hartmann, Marta Kliemann, Gustavo Luis Hubert Ribeiro, Julia Merladete Fraga, Thiago Motta Netto, Laura Valduga Pozza, Paulo Rafael Wendling, Caroline Azevedo, Juliana Garcia, Marcel Lopes, Bernardo Maia, Paula Maselli, Ralph Melo, Weslley Mendes, Matheus Neves, Jacqueline Ney, Claudio Piras, Christopher Applewhaite, Adrienne Carr, Lorraine Chow, Kaylene Duttchen, Julena Foglia, Michael Greene, Ashley Hinther, Kendra Houston, Thomas Jared McCormick, Jennifer Mikhayel, Sam Montasser, Alex Ragan, Andrew Suen, Adrianna Woolsey, Hai Chuan Yu, Duane Funk, Stephen Kowalski, Regina Legaspi, Heather McDonald, Faisal Siddiqui, Jeremy Pridham, Bernadette Rowe, Sonia Sampson, Barton Thiessen, Geoff Zbitnew, Andre Bernard, Ronald George, Philip Jones, Rita Moor, Naveed Siddiqui, Alexandra Wolfer, Diem Tran, Denyse Winch, Gary Dobson, Thomas McCormick, Osama Montasser, Richard Hall, Leyla Baghirzada, Gerard Curley, Si Yuan Dai, Gregory Hare, Esther Lee, Uma Shastri, Albert Tsui, Anmol Yagnik, Danielle Alvares, Stephen Choi, Heather Dwyer, Kathrina Flores, Colin McCartney, Priya Somascanthan, Jo Carroll, Janneth Pazmino-Canizares, Noam Ami, Vincent Chan, Anahi Perlas, Ruth Argue, Yang Huang, Katie Lavis, Kelly Mayson, Ying Cao, Hong Gao, Tingju Hu, Jie Lv, Jian Yang, Yang Yang, Yi Zhong, Jing Zhou, Xiaohua Zou, Miao He, Xiaoying Li, Dihuan Luo, Haiying Wang, Tian Yu, Liyong Chen, Lijun Wang, Yunfei Cai, Zhongming Cao, Yanling Li, Jiaxin Lian, Haiyun Sun, Sheng Wang, Zhipeng Wang, Kenru Wang, Yi Zhu, Xindan Du, Hao Fan, Yunbin Fu, Lixia Huang, Yanming Huang, Haifang Hwan, Hong Luo, Pi-Sheng Qu, Fan Tao, Zhen Wang, Guoxiang Wang, Shun Wang, Yan Zhang, Xiaolin Zhang, Chao Chen, Weixing Wang, Zhengyuan Liu, Lihua Fan, Jing Tang, Yijun Chen, Yongjie Chen, Yangyang Han, Changshun Huang, Guojin Liang, Jing Shen, Jun Wang, Qiuhong Yang, Jungang Zhen, Haidong Zhou, Junping Chen, Zhang Chen, Xiaoyu Li, Bo Meng, Haiwang Ye, Xiaoyan Zhang, Yanbing Bi, Jianqiao Cao, Fengying Guo, Hong Lin, Yang Liu, Meng Lv, Pengcai Shi, Xiumei Song, Chuanyu Sun, Yongtao Sun, Yuelan Wang, Shenhui Wang, Min Zhang, Rong Chen, Jiabao Hou, Yan Leng, Qing-tao Meng, Li Qian, Zi-ying Shen, Zhong-yuan Xia, Rui Xue, Yuan Zhang, Bo Zhao, Xian-jin Zhou, Qiang Chen, Huinan Guo, Yongqing Guo, Yuehong Qi, Zhi Wang, Jianfeng Wei, Weiwei Zhang, Lina Zheng, Qi Bao, Yaqiu Chen, Yijiao Chen, Yue Fei, Nianqiang Hu, Xuming Hu, Min Lei, Xiaoqin Li, Xiaocui Lv, Fangfang Miao, Lingling Ouyang, Lu Qian, Conyu Shen, Yu Sun, Yuting Wang, Dong Wang, Chao Wu, Liyuan Xu, Jiaqi Yuan, Lina Zhang, Huan Zhang, Yapping Zhang, Jinning Zhao, Chong Zhao, Lei Zhao, Tianzhao Zheng, Dachun Zhou, Haiyan Zhou, Ce Zhou, Kaizhi Lu, Ting Zhao, Changlin He, Hong Chen, Shasha Chen, Baoli Cheng, Jie He, Lin Jin, Caixia Li, Hui Li, Yuanming Pan, Yugang Shi, Xiao Hong Wen, Shuijing Wu, Guohao Xie, Kai Zhang, Bing Zhao, Xianfu Lu, Feifei Chen, Qisheng Liang, Xuewu Lin, Yunzhi Ling, Gang Liu, Jing Tao, Lu Yang, Jialong Zhou, Fumei Chen, Zhonggui Cheng, Hanying Dai, Yunlin Feng, Benchao Hou, Haixia Gong, Chun hua Hu, Haijin Huang, Jian Huang, Zhangjie Jiang, Mengyuan Li, Jiamei Lin, Mei Liu, Weicheng Liu, Zhen Liu, Zhiyi Liu, Foquan Luo, Longxian Ma, Jia Min, Xiaoyun Shi, Zhiping Song, Xianwen Wan, Yingfen Xiong, Lin Xu, Shuangjia Yang, Qin Zhang, Hongyan Zhang, Huaigen Zhang, Xuekang Zhang, Lili Zhao, Weihong Zhao, Weilu Zhao, Xiaoping Zhu, Yun Bai, Linbi Chen, Sijia Chen, Qinxue Dai, Wujun Geng, Kunyuan Han, Xin He, Luping Huang, Binbin Ji, Danyun Jia, Shenhui Jin, Qianjun Li, Dongdong Liang, Shan Luo, Lulu Lwang, Yunchang Mo, Yuanyuan Pan, Xinyu Qi, Meizi Qian, Jinling Qin, Yelong Ren, Yiyi Shi, Junlu Wang, Junkai Wang, Leilei Wang, Junjie Xie, Yixiu Yan, Yurui Yao, Mingxiao Zhang, Jiashi Zhao, Xiuxiu Zhuang, Yanqiu Ai, Fang Du, Long He, Ledan Huang, Zhisong Li, Huijuan Li, Yetong Li, Liwei Li, Su Meng, Yazhuo Yuan, Enman Zhang, Jie Zhang, Shuna Zhao, Zhenrong Ji, Ling Pei, Li Wang, Chen Chen, Beibei Dong, Jing Li, Ziqiang Miao, Hongying Mu, Chao Qin, Lin Su, Zhiting Wen, Keliang Xie, Yonghao Yu, Fang Yuan, Xianwen Hu, Ye Zhang, Wangpin Xiao, Zhipeng Zhu, Qingqing Dai, Kaiwen Fu, Rong Hu, Xiaolan Hu, Song Huang, Yaqi Li, Yingping Liang, Shuchun Yu, Zheng Guo, Yan Jing, Na Tang, Jie Wu, Dajiang Yuan, Ruilin Zhang, Xiaoying Zhao, Yuhong Li, Hui-Ping Bai, Chun-Xiao Liu, Fei-Fei Liu, Wei Ren, Xiu-Li Wang, Guan-Jie Xu, Na Hu, Bo Li, Yangwen Ou, Yongzhong Tang, Shanglong Yao, Shihai Zhang, Cui-Cui Kong, Bei Liu, Tianlong Wang, Wei Xiao, Bo Lu, Yanfei Xia, Jiali Zhou, Fang Cai, Pushan Chen, Shuangfei Hu, Hongfa Wang, Qiong Xu, Liu Hu, Liang Jing, Bin Li, Qiang Liu, Yuejiang Liu, Xinjian Lu, Zhen Dan Peng, Xiaodong Qiu, Quan Ren, Youliang Tong, Jin Wang, Yazhou Wen, Qiong Wu, Jiangyan Xia, Jue Xie, Xiapei Xiong, Shixia Xu, Tianqin Yang, Hui Ye, Ning Yin, Jing Yuan, Qiuting Zeng, Baoling Zhang, Kang Zheng, Jing Cang, Shiyu Chen, Yu Fan, Shuying Fu, Xiaodong Ge, Baolei Guo, Wenhui Huang, Linghui Jiang, Xinmei Jiang, Yi Liu, Yan Pan, Yun Ren, Qi Shan, Jiaxing Wang, Fei Wang, Chi Wu, Xiaoguang Zhang, Ida Cecilie Christiansen, Simon Nørgaard Granum, Bodil Steen Rasmussen, Morten Daugaard, Rajiv Gambhir, Birgitte Brandsborg, Guðný Erla Steingrímsdóttir, Peter Jensen-Gadegaard, Karsten Skovgaard Olsen, Hanna Siegel, Katrine Zwicky Eskildsen, Mona Ring Gätke, Ida Wibrandt, Simon Bisgaard Heintzelmann, Kai Henrik Wiborg Lange, Rune Sarauw Lundsgaard, Louise Amstrup-Hansen, Claus Hovendal, Michael Larsen, Mette Lenstrup, Tina Kobborg, Jens Rolighed Larsen, Anette Barbre Pedersen, Søren Hübertz Smith, Rebecca Monett Oestervig, Arash Afshari, Cheme Andersen, Kim Ekelund, Erik Lilja Secher, Helene Beloeil, Sigismond Lasocki, Alexandre Ouattara, Marlene Sineus, Serge Molliex, Marie Lim Legouge, Florent Wallet, Antoine Tesniere, Christophe Gaudin, Paul Lehur, Emma Forsans, Stéphane de Rudnicki, Valerie Serra Maudet, Didier Mutter, Ghassan Sojod, Mehdi Ouaissi, Jean-Marc Regimbeau, Jacques Desbordes, Nicolas Comptaer, Diae el Manser, Sabine Ethgen, Gilles Lebuffe, Patrick Auer, Christine Härtl, Maria Deja, Kirill Legashov, Susanne Sonnemann, Carola Wiegand-Loehnert, Elke Falk, Marit Habicher, Stefan Angermair, Beatrix Laetsch, Katrin Schmidt, Christian Von Heymann, Axel Ramminger, Florian Jelschen, Svenja Pabel, Andreas Weyland, Elke Czeslick, Jochen Gille, Michael Malcharek, Armin Sablotzki, Katharina Lueke, Peter Wetzel, Joerg Weimann, Franz-Peter Lenhart, Florian Reichle, Frederike Schirmer, Michael Hüppe, Karl Klotz, Carla Nau, Julika Schön, Thomas Mencke, Christina Wasmund, Carla Bankewitz, Georg Baumgarten, Andreas Fleischer, Vera Guttenthaler, Yvonne Hack, Katharina Kirchgaessner, Olja Männer, Marlen Schurig-Urbaniak, Rafael Struck, Rebekka van Zyl, Maria Wittmann, Ulrich Goebel, Sarah Harris, Siegfried Veit, Evangelia Andreadaki, Flora Souri, Ioannis Katsiadramis, Anthi Skoufi, Maria Vasileiou, Eleni Aimoniotou- Georgiou, Anastasios Katsourakis, Fotini Veroniki, Glyceria Vlachogianni, Konstantina Petra, Dimitra Chlorou, Eirini Oloktsidou, Vasileios Ourailoglou, Konstantinos Papapostolou, Georgia Tsaousi, Panagoula Daikou, Georgia Dedemadi, Ioannis Kalaitzopoulos, Christos Loumpias, Sotirios Bristogiannis, Nikolaos Dafnios, Georgios Gkiokas, Elissaios Kontis, Dimitra Kozompoli, Aspasia Papailia, Theodosios Theodosopoulos, Christol Bizios, Anastasia Koutsikou, Aleaxandra Moustaka, Ioannis Plaitakis, Apostolos Armaganidis, Theodora Christodoulopoulou, Mihail Lignos, Maria Theodorakopoulou, Andreas Asimakos, Eleni Ischaki, Angeliki Tsagkaraki, Spyros Zakynthinos, Eleni Antoniadou, Ioannis Koutelidakis, Dimitrios Lathyris, Irene Pozidou, Nikolaos Voloudakis, Maria Dalamagka, Gkonezou Elena, Christos Chronis, Dimitra Manolakaki, Dimitris Mosxogiannidis, Tatiana Slepova, Isaia-sissy Tsakiridou, Claire Lampiri, Anastasia Vachlioti, Christos Panagiotakis, Dimitrios Sfyras, Fotios Tsimpoukas, Athanasia Tsirogianni, Elena Axioti, Andreas Filippopoulos, Elli Kalliafa, George Kassavetis, Petros Katralis, Ioannis Komnos, Georgios Pilichos, Ifigenia Ravani, Antonis Totis, Eymorfia Apagaki, Andromachi Efthymiadi, Nikolaos Kampagiannis, Theoniki Paraforou, Agoritsa Tsioka, Georgios Georgiou, Aristeidis Vakalos, Aggeliki Bairaktari, Efthimios Charitos, George Markou, Panagiota Niforopoulou, Nikolaos Papakonstantinou, Evdoxia Tsigou, Archontoula Xifara, Menelaos Zoulamoglou, Panagiota Gkioni, Stylianos Karatzas, Aikaterini Kyparissi, Efstratios Mainas, Ioannis Papapanagiotou, Theonymfi Papavasilopoulou, George Fragandreas, Eleni Georgopoulou, Eleni Katsika, Kyriakos Psarras, Eirini Synekidou, Maria Verroiotou, Evangelia Vetsiou, Donika Zaimi, Athina Anagnou, Konstantinos Apostolou, Theodora Melissopoulou, Theophilos Rozenberg, Christos Tsigris, Georgios Boutsikos, Vasileios Kalles, Nikolaos Kotsalas, Christina Lavdaiou, Fotini Paikou, Georgia-Laura Panagou, Anna Spring, Ioannis Botis, Maria Drimala, Georgios Georgakakis, Ellada Kiourtzieva, Panagiota Ntouma, Apostolos Prionas, Kyriakos Xouplidis, Eleftheria Dalampini, Chrysavgi Giannaki, Christina Iasonidou, Orestis Ioannidis, Athina Lavrentieva, Athena Lavrentieva, George Papageorgiou, Maria Kokkinoy, Maria Stafylaraki, Stylianos Gaitanakis, Periclis Karydakis, Josef Paltoglou, Panagiotis Ponireas, Panagiotis Chaloulis, Athanasios Provatidis, Anisoglou Sousana, Varvara Vanessa Gardikou, Maria Konstantivelli, Olga Lataniotou, Elisavet Lisari, Maria Margaroni, Konstantinos Stamatiou, Edouardos Nikolaidis, Ioannis Pnevmatikos, Eleni Sertaridou, Alexandros Andreou, Eleni Arkalaki, Elias Athanasakis, Fotini Chaniotaki, Chatzimichali Aikaterini Chatzimichali, Maria Christofaki, Despina Dermitzaki, Klara Fiorentza, Georgios Frantzeskos, Elisavet Geromarkaki, Kalliopi Kafkalaki, Marina Kalogridaki, Konstyllia Karydi, Sofia Kokkini, Georgios Kougentakis, Tatiana Lefaki, Emmanouhl Lilitsis, Aikaterini Makatounaki, Polychronis Malliotakis, Dimosthenis Michelakis, Maria Neonaki, Vasileia Nyktari, Iliana Palikyra, Eleftherios Papadakis, Alexandra Papaioannou, Konstantinos Sfakianakis, Maria Sgouraki, Xenia Souvatzis, Anastasia Spartinou, Nefeli Stefanidou, Paulina Syrogianni, Georgia Tsagkaraki, Elena Arnaoutoglou, Christina Arnaoutoglou, Christina Bali, Vasilios Bouris, Rodamanthos Doumos, Konstantia-Paraskevi Gkini, Clio Kapaktsi, Vasilios Koulouras, Arian Lena, Dimitra Lepida, Evangelos Michos, Dimitrios Papadopoulos, Minas Paschopoulos, Vaia Aliki Rompou, Ioanna Siouti, Stavros Tsampalas, Ourania Ververidou, Georgios Zilis, Alexandra Charlalampidoy, Gregory Christodoulidis, Andreas Flossos, Konstantinos Stamoulis, Matthew Chan, Man Shing Caleb Tsang, Man Shing Tsang, Man Ling Lai, Chi Pang Yip, Hey Man Heymans Chan, Bassanio Law, Wing Sze Li, Hiu Man Chu, Emily Gar Yee Koo, Chi Cheong Joe Lam, Ka Ho Cheng, Tracy Lam, Susanna Chu, Wing yan Lam, Kin Wai Kevin Wong, Dilys Kwok, Ching Yue Janice Hung, Wai Kit Jacky Chan, Wing Lam Wong, Chun Kwong Eric Chung, Shu Kai Ma, Shuchi Kaushik, Bhagyesh Shah, Dhiren Shah, Sanjay Shah, Praburaj Ar, Radhakrishnan Muthuchellappan, Vandana Agarwal, Jigeeshu Divatia, Sanghamitra Mishra, Ganesh Nimje, Swati Pande, Sukhada Savarkar, Aditi Shrivastava, Martin Thomas, Shashikant Yegnaram, Rahmat Hidayatullah, Nasman Puar, Sumara Niman, Imai Indra, Zulkarnain Hamzah, Annika Yuliana, Ucu Nurhadiat Abidin, Ade Nurkacan Dursin, Andri Kurnia, Ade Susanti, Dini Handayani, Mahaalit Aribawa Alit, Aryabiantara Arya, Tjokorda Gde Agung Senapathi, Utara Hartawan Utara, Widnyana Made Wid, Semarawima Wima, Wiryana Made Wir, Brillyan Jehosua, Jonathan Kaunang, Eka Yudha Lantang, Rini Najoan, Neil Waworuntu, Hadi Awad, Akram Fuad, Burair Geddoa, Abdel Razzaq Khalaf, Sabah Al hussaini, Safauldeensalem Albaj, Maithem Kenber, Alessandra Bettinelli, Savino Spadaro, Carlo AlbertoVolta, Luigi Giancarlo, Vicari Sottosanti, Elisa Copetti, Lorenzo Spagnesi, Ilaria Toretti, Chiara Alloj, Silvano Cardellino, Livio Carmino, Eleonora Costanzo, Lucia Caterina Fanfani, Maria Teresa Novelli, Agostino Roasio, Mattia Bellandi, Luigi Beretta, Elena Bignami, Speranza Bocchino, Luca Cabrini, Daniele Corti, Giovanni Landoni, Roberta Meroni, Elena Moizo, Giacomo Monti, Margherita Pintaudi, Valentina Paola Plumari, Daiana Taddeo, Valentina Testa, Dario Winterton, Alberto Zangrillo, Luigi Maria Cloro, Chiara Colangelo, Antonio Colangelo, Giuseppe Rotunno, Miguel Angel Paludi, Cloro Paolo Maria, Antonio Pata, Vieri Parrini, Alessandro Gatta, Mauro Nastasi, Carla Tinti, Antonio Baroselli, Mario Arrigo, Angelo Benevento, Corrado Bottini, Maurizio Cannavo', Christian Gastaldi, Alessandro Marchesi, Angelantonio Pascazio, Francesco Pata, Emilio Pozzi, Alberto Premoli, Gaetano Tessera, Luca Boschi, Rocco D'Andrea, Federico Ghignone, Gilberto Poggioli, Andrea Sibilio, Mario Taffurelli, Giampaolo Ugolini, Mohd Azuan Ab Majid, Rusnah Ab Rahman, James Joseph, Furquan Pathan, Mohammad Hafizshah Sybil Shah, Huey Ling Yap, Seleen Cheah, Im Im Chin, Ji Keon Looi, Siew Ching Tan, Sheshendrasurian 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Ian Wrench, Lisa Zeidan, Diane Ardern, Benjamin Harris, Johanna Hellstrom, Jane Martin, Richard Thomas, Nimu Varsani, Caroline Wrey Brown, Philip Docherty, Michael Gillies, Euan McGregor, Helen Usher, Jayne Craig, Andrew Smith, Tahania Ahmad, Phoebe Bodger, Thais Creary, Alexander Fowler, Russ Hewson, Eke Ijuo, Timothy Jones, Ilya Kantsedikas, Sumitra Lahiri, Aaron Lawson McLean, Edyta Niebrzegowska, Mandeep Phull, Difei Wang, Nadine Wickboldt, Jacqueline Baldwin, Donna Doyle, Sean Mcmullan, Michelle Oladapo, Thomas Owen, Alexandra Williams, Hull Daniel, Peter Gregory, Tauqeer Husain, Justin Kirk-Bayley, Edward Mathers, Laura Montague, Mark Harper, Stuart White, James Jack, Carrie Ridley, Joanne Avis, Tim Cook, Lola Dali-Kemmery, Ian Kerslake, Victoria Lambourne, Annabel Pearson, Christine Boyd, Mark Callaghan, Cathy Lawson, Roopa McCrossan, Vanessa Nesbitt, Laura O'connor, Julia Scott, Rhona Sinclair, Nahla Farid, Ciro Morgese, Kailash Bhatia, Swati Karmarkar, Jamil Ahmed, Graham Branagan, Monica Hutton, Andrew Swain, Jamie Brookes, Jonathan Cornell, Rachael Dolan, Jonathan Hulme, Amanda Jansen van Vuuren, Tom Jowitt, Gunasheela Kalashetty, Fran Lloyd, Kiran Patel, Nicholas Sherwood, Lynne Brown, Ben Chandler, Kerry Deighton, Temlett Emma, Kirsty Haunch, Michelle Cheeseman, Kathy Dent, Sanjeev Garg, Carol Gray, Marion Hood, Dawn Jones, Joanne Juj, Roshan Rao, Tara Walker, Mashel Al Anizi, Clarissa Cheah, Yushio Cheing, Francisco Coutinho, Prisca Gondo, Bernard Hadebe, Mazvangu Onie Hove, null Ahamed khader, Bobby Krishnachetty, Karen Rhodes, Jagdish Sokhi, Katie-Anne Baker, Wendy Bertram, Alex Looseley, Ronelle Mouton, George Hanna, Glenn Arnold, Shobhit Arya, Danai Balfoussia, Linden Baxter, James Harris, Craig Jones, Alison Knaggs, Sheraz Markar, Anisha Perera, Alasdair Scott, Asako Shida, Ravneet Sirha, Sally Wright, Victoria Frost, Catherine Gray, Emma Andrews, Lindsay Arrandale, Stephen Barrett, Elna Cifra, Mariese Cooper, Dragos Dragnea, Cifra Elna, Jennifer Maclean, Sonja Meier, Donald Milliken, Christopher Munns, Nadir Ratanshi, Suneil Ramessur, Abegail Salvana, Anthony Watson, Hani Ali, Gill Campbell, Rebecca Critchley, Simon Endersby, Catherine Hicks, Alison Liddle, Marc Pass, Charlotte Ritchie, Charlotte Thomas, Lingxi Too, Sarah Welsh, Talvinder Gill, Joanne Johnson, Joanne Reed, Edward Davis, Sam Papadopoullos, Clare Attwood, Andrew Biffen, Kerenza Boulton, Sophie Gray, David Hay, Sarah Mills, Jane Montgomery, Rory Riddell, James Simpson, Neeraj Bhardwaj, Elaine Paul, Nosakhare Uwubamwen, Maini Alexander, James Arrich, Swarna Arumugam, Douglas Blackwood, Victoria Boggiano, Robyn Brown, Yik Lam Chan, Devnandan Chatterjee, Ashok Chhabra, Rachel Christian, Hannah Costelloe, Madeline Coxwell Matthewman, Emma Dalton, Julia Darko, Maria Davari, Tejal Dave, Matthew Deacon, Shantal Deepak, Holly Edmond, Jessica Ellis, Ahmed El-Sayed, Philip Eneje, Rose English, Renee Ewe, William Foers, John Franklin, Laura Gallego, Emily Garrett, Olivia Goldberg, Harry Goss, Rosanna Greaves, Rudy Harris, Charles Hennings, Eleanor Jones, Nelson Kamali, Naomi Kokkinos, Carys Lewis, Leda Lignos, Evaleen Victoria Malgapo, Rizwana Malik, Andrew Milne, John-Patrick Mulligan, Philippa Nicklin, Natasha Palipane, Thomas Parsons, Rebecca Piper, Rohan Prakash, Byron Ramesh, Sarah Rasip, Jacob Reading, Mariam Rela, Anna Reyes, Robert Stephens, Martin Rooms, Karishma Shah, Henry Simons, Shalil Solanki, Emma Spowart, Amy Stevens, Christopher Thomas, Helena Waggett, Arrash Yassaee, Anthony Kennedy, Sara Scott, Sameer Somanath, Andrew Berg, Miguel Hernandez, Rajesh Nanda, Ghanshyambhai Tank, Natalie Wilson, Debbie Wilson, Yassr Al-Soudaine, Matthew Baldwin, Julie Cornish, Zoe Davies, Leigh Davies, Marc Edwards, Natasha Frewer, Sian Gallard, James Glasbey, Rhiannon Harries, Luke Hopkins, Taeyang Kim, Vilavan Koompirochana, Simon Lawson, Megan Lewis, Zaid Makzal, Sarah Scourfield, Yousra Ahmad, Sarah Bates, Clare Blackwell, Helen Bryant, Hannah Collins, Suzanne Coulter, Ross Cruickshank, Sonya Daniel, Thomas Daubeny, Mark Edwards, Kim Golder, Lesley Hawkins, Bryant Helen, Honor Hinxman, Denny Levett, Karen Salmon, Leanne Seaward, Ben Skinner, Bryony Tyrell, Beverley Wadams, Joseph Walsgrove, Jane Dickson, Kathryn Constantin, Markwell Karen, Peter O'Brien, Lynn O'Donohoe, Hannah Payne, Saul Sundayi, Elaine Walker, Jenny Brooke, Jon Cardy, Sally Humphreys, Laura Kessack, Christiane Kubitzek, Suhas Kumar, Donna Cotterill, Emil Hodzovic, Gurunath Hosdurga, Edward Miles, Glenn Saunders, Marta Campbell, Peter Chan, Kim Jemmett, Ashok Raj, Aditi Naik, Ayo Oshowo, Rajarajan Ramamoorthy, Nimesh Shah, Axel Sylvan, Katharine Blyth, Andrew Burtenshaw, David Freeman, Emily Johnson, Philip Lo, Terry Martin, Emma Plunkett, Julie Wollaston, Joanna Allison, Christine Carroll, Nicholas Craw, Sarah Craw, Tressy Pitt-Kerby, Rebecca Rowland-Axe, Katie Spurdle, Andrew McDonald, Davies Simon, Vivek Sinha, Thomas Smith, Valerie Banner-Goodspeed, Myles Boone, Kathleen Campbell, Fengxin Lu, Joseph Scannell, Julia Sobol, Naraida Balajonda, Karen Clemmons, Carlos Conde, Magdi Elgasim, Bonita Funk, Roger Hall, Thomas Hopkins, Omowunmi Olaleye, Omer Omer, Michelle Pender, Angelo Porto, Alice Stevens, Peter Waweru, Erlinda Yeh, Daniella Bodansky, Adam Evans, Steven Kleopoulos, Robert Maril, Edward Mathney, Angela Sanchez, Elizabeth Tinuoye, Brian Bateman, Kristen Eng, Ning Jiang, Karim Ladha, Joseph Needleman, Lee-lynn Chen, Rondall Lane, David Robinowitz, Neil Ghushe, Mariam Irshad, John O'Connor, Samir Patel, Steven Takemoto, Art Wallace, Michael Mazzeffi, Peter Rock, Karin Wallace, Xiaomao Zhu, Pandora Chua, Matthew Mattera, Rebecca Sharar, Stephan Thilen, Miriam Treggiari, Angela Morgan, Iwan Sofjan, Kathirvel Subramaniam, Michael Avidan, Hannah Maybrier, Maxwell Muench, Troy Wildes, Faculty of Economic and Social Sciences and Solvay Business School, Anesthesiology research group, Supporting clinical sciences, Anesthesiology, Queen Mary University of London (QMUL), Royal Free Hospital [London, UK], NHS Foundation Trust [London], The Royal Marsden, University of Cape Town, Linköping university hospital, University of Edinburgh, Abbott, T E F, Ahmad, T, Phull, M K, Fowler, A J, Hewson, R, Biccard, B M, Chew, M S, Gillies, M, Pearse RM, Beattie S, Clavien PA, Demartines N, Fleisher LA, Grocott M, Haddow J, Hoeft A, Holt P, Moreno R, Pritchard N, Rhodes A, Wijeysundera D, Wilson M, Ahmed T, Everingham K, Hewson R, Januszewska M, Phull MK, Halliwell R, Shulman M, Myles P, Schmid W, Hiesmayr M, Wouters P, de Hert S, Lobo S, Fang X, Rasmussen L, Futier E, Biais M, Venara A, Slim K, Sander M, Koulenti D, Arvaniti K, Chan M, Kulkarni A, Chandra S, Tantri A, Geddoa E, Abbas M, Della Rocca G, Sivasakthi D, Mansor M, Luna P, Bouwman A, Buhre W, Beavis V, Campbell D, Short T, Osinaike T, Matos R, Grigoras I, Kirov M, Protsenko D, Biccard B, Aldecoa C, Chew M, Hofer C, Hubner M, Ditai J, Szakmany T, Fleisher L, Ferguson M, MacMahon M, Cherian R, Currow H, Kanathiban K, Gillespie D, Pathmanathan E, Phillips K, Reynolds J, Rowley J, Douglas J, Kerridge R, Garg S, Bennett M, Jain M, Alcock D, Terblanche N, Cotter R, Leslie K, Stewart M, Zingerle N, Clyde A, Hambidge O, Rehak A, Cotterell S, Huynh WBQ, McCulloch T, Ben-Menachem E, Egan T, Cope J, Fellinger P, Haisjackl M, Haselberger S, Holaubek C, Lichtenegger P, Scherz F, Hoffer F, Cakova V, Eichwalder A, Fischbach N, Klug R, Schneider E, Vesely M, Wickenhauser R, Grubmueller KG, Leitgeb M, Lang F, Toro N, Bauer M, Laengle F, Haberl C, Mayrhofer T, Trybus C, Buerkle C, Forstner K, Germann R, Rinoesl H, Schindler E, Trampitsch E, Bogner G, Dankl D, Duenser M, Fritsch G, Gradwohl-Matis I, Hartmann A, Hoelzenbein T, Jaeger T, Landauer F, Lindl G, Lux M, Steindl J, Stundner O, Szabo C, Bidgoli J, Verdoodt H, Forget P, Kahn D, Lois F, Momeni M, Prégardien C, Pospiech A, Steyaert A, Veevaete L, De Kegel D, De Jongh K, Foubert L, Smitz C, Vercauteren M, Poelaert J, Van Mossevelde V, Abeloos J, Bouchez S, Coppens M, De Baerdemaeker L, Deblaere I, De Bruyne A, Fonck K, Heyse B, Jacobs T, Lapage K, Moerman A, Neckebroek M, Parashchanka A, Roels N, Van Den Eynde N, Vandenheuvel M, Limmen J, Vanluchene A, Vanpeteghem C, Wyffels P, Huygens C, Vandenbempt P, Van de Velde M, Dylst D, Janssen B, Schreurs E, Aleixo FB, Candido K, Batista HD, Guimarães M, Guizeline J, Hoffmann J, Lobo FRM, Nascimento V, Nishiyama K, Pazetto L, Souza D, Rodrigues RS, Vilela Dos Santos AM, Jardim J, Sá Malbouisson LM, Silva J, Nascimento Junior PD, Baio TH, Pereira de Castro GI, Watanabe Oliveira HR, Amendola CP, Cardoso G, Ortega D, Brotto AF, De Oliveira MC, Réa-Neto Á, Dias F, Travi ME, Zerman L, Azambuja P, Knibel MF, Martins A, Almeida W, Neto CN, Tardelli MA, Caser E, Machado M, Aguzzoli C, Baldisserotto S, Tabajara FB, Bettega F, Rodrigues Júnior HC, de Gasperi J, Faina L, Nolasco MF, Ferreira da Costa Fischer B, Fosch de Campos Ferreira M, Hartmann C, Kliemann M, Hubert Ribeiro GL, Fraga JM, Netto TM, Pozza LV, Wendling PR, Azevedo C, Garcia J, Lopes M, Maia B, Maselli P, Melo R, Mendes W, Neves M, Ney J, Piras C, Applewhaite C, Carr A, Chow L, Duttchen K, Foglia J, Greene M, Hinther A, Houston K, McCormick TJ, Mikhayel J, Montasser S, Ragan A, Suen A, Woolsey A, Yu HC, Funk D, Kowalski S, Legaspi R, McDonald H, Siddiqui F, Pridham J, Rowe B, Sampson S, Thiessen B, Zbitnew G, Bernard A, George R, Jones P, Moor R, Siddiqui N, Wolfer A, Tran D, Winch D, Dobson G, McCormick T, Montasser O, Hall R, Baghirzada L, Curley G, Dai SY, Hare G, Lee E, Shastri U, Tsui A, Yagnik A, Alvares D, Choi S, Dwyer H, Flores K, McCartney C, Somascanthan P, Carroll J, Pazmino-Canizares J, Wolfer A, Ami N, Chan V, Perlas A, Argue R, Huang Y, Lavis K, Mayson K, Cao Y, Gao H, Hu T, Lv J, Yang J, Yang Y, Zhong Y, Zhou J, Zou X, He M, Li X, Luo D, Wang H, Yu T, Chen L, Wang L, Cai Y, Cao Z, Li Y, Lian J, Sun H, Wang S, Wang Z, Wang K, Zhu Y, Du X, Fan H, Fu Y, Huang L, Huang Y, Hwan H, Luo H, Qu PS, Tao F, Wang Z, Wang G, Wang S, Zhang Y, Zhang X, Chen C, Wang W, Liu Z, Fan L, Tang J, Chen Y, Chen Y, Han Y, Huang C, Liang G, Shen J, Wang J, Yang Q, Zhen J, Zhou H, Chen J, Chen Z, Li X, Meng B, Ye H, Zhang X, Bi Y, Cao J, Guo F, Lin H, Liu Y, Lv M, Shi P, Song X, Sun C, Sun Y, Wang Y, Wang S, Zhang M, Chen R, Hou J, Leng Y, Meng QT, Qian L, Shen ZY, Xia ZY, Xue R, Zhang Y, Zhao B, Zhou XJ, Chen Q, Guo H, Guo Y, Qi Y, Wang Z, Wei J, Zhang W, Zheng L, Bao Q, Chen Y, Chen Y, Fei Y, Hu N, Hu X, Lei M, Li X, Lv X, Miao F, Ouyang L, Qian L, Shen C, Sun Y, Wang Y, Wang D, Wu C, Xu L, Yuan J, Zhang L, Zhang H, Zhang Y, Zhao J, Zhao C, Zhao L, Zheng T, Zhou D, Zhou H, Zhou C, Lu K, Zhao T, He C, Chen H, Chen S, Cheng B, He J, Jin L, Li C, Li H, Pan Y, Shi Y, Wen XH, Wu S, Xie G, Zhang K, Zhao B, Lu X, Chen F, Liang Q, Lin X, Ling Y, Liu G, Tao J, Yang L, Zhou J, Chen F, Cheng Z, Dai H, Feng Y, Hou B, Gong H, Hu CH, Huang H, Huang J, Jiang Z, Li M, Lin J, Liu M, Liu W, Liu Z, Liu Z, Luo F, Ma L, Min J, Shi X, Song Z, Wan X, Xiong Y, Xu L, Yang S, Zhang Q, Zhang H, Zhang H, Zhang X, Zhao L, Zhao W, Zhao W, Zhu X, Bai Y, Chen L, Chen S, Dai Q, Geng W, Han K, He X, Huang L, Ji B, Jia D, Jin S, Li Q, Liang D, Luo S, Lwang L, Mo Y, Pan Y, Qi X, Qian M, Qin J, Ren Y, Shi Y, Wang J, Wang J, Wang L, Xie J, Yan Y, Yao Y, Zhang M, Zhao J, Zhuang X, Ai Y, Du F, He L, Huang L, Li Z, Li H, Li Y, Li L, Meng S, Yuan Y, Zhang E, Zhang J, Zhao S, Ji Z, Pei L, Wang L, Chen C, Dong B, Li J, Miao Z, Mu H, Qin C, Su L, Wen Z, Xie K, Yu Y, Yuan F, Hu X, Zhang Y, Xiao W, Zhu Z, Dai Q, Fu K, Hu R, Hu X, Huang S, Li Y, Liang Y, Yu S, Guo Z, Jing Y, Tang N, Wu J, Yuan D, Zhang R, Zhao X, Li Y, Bai HP, Liu CX, Liu FF, Ren W, Wang XL, Xu GJ, Hu N, Li B, Ou Y, Tang Y, Yao S, Zhang S, Kong CC, Liu B, Wang T, Xiao W, Lu B, Xia Y, Zhou J, Cai F, Chen P, Hu S, Wang H, Xu Q, Hu L, Jing L, Li B, Liu Q, Liu Y, Lu X, Peng ZD, Qiu X, Ren Q, Tong Y, Wang J, Wen Y, Wu Q, Xia J, Xie J, Xiong X, Xu S, Yang T, Ye H, Yin N, Yuan J, Zeng Q, Zhang B, Zheng K, Cang J, Chen S, Fan Y, Fu S, Ge X, Guo B, Huang W, Jiang L, Jiang X, Liu Y, Pan Y, Ren Y, Shan Q, Wang J, Wang F, Wu C, Zhang X, Christiansen IC, Granum SN, Rasmussen BS, Daugaard M, Gambhir R, Brandsborg B, Steingrímsdóttir GE, Jensen-Gadegaard P, Olsen KS, Siegel H, Eskildsen KZ, Gätke MR, Wibrandt I, Heintzelmann SB, Wiborg Lange KH, Lundsgaard RS, Amstrup-Hansen L, Hovendal C, Larsen M, Lenstrup M, Kobborg T, Larsen JR, Pedersen AB, Smith SH, Oestervig RM, Afshari A, Andersen C, Ekelund K, Secher EL, Beloeil H, Lasocki S, Ouattara A, Sineus M, Molliex S, Legouge ML, Wallet F, Tesniere A, Gaudin C, Lehur P, Forsans E, de Rudnicki S, Maudet VS, Mutter D, Sojod G, Ouaissi M, Regimbeau JM, Desbordes J, Comptaer N, Manser DE, Ethgen S, Lebuffe G, Auer P, Härtl C, Deja M, Legashov K, Sonnemann S, Wiegand-Loehnert C, Falk E, Habicher M, Angermair S, Laetsch B, Schmidt K, Von Heymann C, Ramminger A, Jelschen F, Pabel S, Weyland A, Czeslick E, Gille J, Malcharek M, Sablotzki A, Lueke K, Wetzel P, Weimann J, Lenhart FP, Reichle F, Schirmer F, Hüppe M, Klotz K, Nau C, Schön J, Mencke T, Wasmund C, Bankewitz C, Baumgarten G, Fleischer A, Guttenthaler V, Hack Y, Kirchgaessner K, Männer O, Schurig-Urbaniak M, Struck R, van Zyl R, Wittmann M, Goebel U, Harris S, Veit S, Andreadaki E, Souri F, Katsiadramis I, Skoufi A, Vasileiou M, Aimoniotou-Georgiou E, Katsourakis A, Veroniki F, Vlachogianni G, Petra K, Chlorou D, Oloktsidou E, Ourailoglou V, Papapostolou K, Tsaousi G, Daikou P, Dedemadi G, Kalaitzopoulos I, Loumpias C, Bristogiannis S, Dafnios N, Gkiokas G, Kontis E, Kozompoli D, Papailia A, Theodosopoulos T, Bizios C, Koutsikou A, Moustaka A, Plaitakis I, Armaganidis A, Christodoulopoulou T, Lignos M, Theodorakopoulou M, Asimakos A, Ischaki E, Tsagkaraki A, Zakynthinos S, Antoniadou E, Koutelidakis I, Lathyris D, Pozidou I, Voloudakis N, Dalamagka M, Elena G, Chronis C, Manolakaki D, 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Ponireas P, Chaloulis P, Provatidis A, Sousana A, Gardikou VV, Konstantivelli M, Lataniotou O, Lisari E, Margaroni M, Stamatiou K, Nikolaidis E, Pnevmatikos I, Sertaridou E, Andreou A, Arkalaki E, Athanasakis E, Chaniotaki F, Chatzimichali CA, Christofaki M, Dermitzaki D, Fiorentza K, Frantzeskos G, Geromarkaki E, Kafkalaki K, Kalogridaki M, Karydi K, Kokkini S, Kougentakis G, Lefaki T, Lilitsis E, Makatounaki A, Malliotakis P, Michelakis D, Neonaki M, Nyktari V, Palikyra I, Papadakis E, Papaioannou A, Sfakianakis K, Sgouraki M, Souvatzis X, Spartinou A, Stefanidou N, Syrogianni P, Tsagkaraki G, Arnaoutoglou E, Arnaoutoglou C, Bali C, Bouris V, Doumos R, Gkini KP, Kapaktsi C, Koulouras V, Lena A, Lepida D, Michos E, Papadopoulos D, Paschopoulos M, Rompou VA, Siouti I, Tsampalas S, Ververidou O, Zilis G, Charlalampidoy A, Christodoulidis G, Flossos A, Stamoulis K, Chan M, Tsang MSC, Tsang MS, Lai ML, Yip CP, Heymans Chan HM, Law B, Li WS, Chu HM, Koo EGY, Lam CCJ, Cheng KH, Lam T, Chu S, Lam WY, Wong KWK, Kwok D, Hung CYJ, Chan WKJ, Wong WL, Chung CKE, Ma SK, Kaushik S, Shah B, Shah D, Shah S, Ar P, Muthuchellappan R, Agarwal V, Divatia J, Mishra S, Nimje G, Pande S, Savarkar S, Shrivastava A, Thomas M, Yegnaram S, Hidayatullah R, Puar N, Niman S, Indra I, Hamzah Z, Yuliana A, Abidin UN, Dursin AN, Kurnia A, Susanti A, Handayani D, Alit MA, Arya A, Senapathi TGA, Utara UH, Wid WM, Wima S, Wir WM, Jehosua B, Kaunang J, Lantang EY, Najoan R, Waworuntu N, Awad H, Fuad A, Geddoa B, Khalaf AR, Al Hussaini S, Albaj S, Kenber M, Bettinelli A, Spadaro S, AlbertoVolta C, Giancarlo L, Sottosanti V, Copetti E, Spagnesi L, Toretti I, Alloj C, Cardellino S, Carmino L, Costanzo E, Fanfani LC, Novelli MT, Roasio A, Bellandi M, Beretta L, Bignami E, Bocchino S, Cabrini L, Corti D, Landoni G, Meroni R, Moizo E, Monti G, Pintaudi M, Plumari VP, Taddeo D, Testa V, Winterton D, Zangrillo A, Cloro LM, Colangelo C, Colangelo A, Rotunno G, Paludi MA, Maria CP, Pata A, Parrini V, Gatta A, Nastasi M, Tinti C, Baroselli A, Arrigo M, Benevento A, Bottini C, Cannavo' M, Gastaldi C, Marchesi A, Pascazio A, Pata F, Pozzi E, Premoli A, Tessera G, Boschi L, D'Andrea R, Ghignone F, Poggioli G, Sibilio A, Taffurelli M, Ugolini G, Ab Majid MA, Ab Rahman R, Joseph J, Pathan F, Sybil Shah MH, Yap HL, Cheah S, Chin II, Looi JK, Tan SC, Visvalingam S, Kwok FY, Lee CK, Tan TS, Wong SM, Abdullah NH, Liew CF, Luxuman L, Mohd Zin NH, Norddin MF, Raja Alias RL, Wong JY, Yong J, Bin Mustapha MT, Chan WK, Dzulkipli N, Kuan PX, Lee YC, Alias A, Guok EC, Jee CC, Ramon BR, Wong CW, Abd Ghafar FNI, Aziz FZ, Hussain N, Lee HS, Sukawi I, Woon YL, Abd Hadi HZ, Ahmad Azam UA, Alias AH, Kesut SA, Lee JM, Ooi DV, Sulaiman HA, Lih TAT, Veerakumaran J, Rojas E, Resendiz GEA, Zapata DDM, López JCJA, Flores AAA, Amador JCB, Avila EJD, Aquino LPG, Rodriguez RL, Landa MT, Urias E, Hollmann M, Hulst A, Benedikt Preckel OK, Gemert AK, Buise M, Tolenaar N, Weber E, de Fretes J, Houweling P, Ormskerk P, Van 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Dodiyi-Manuel A, Echem R, Obasuyi B, Onajin-Obembe B, Bandeira ME, Martins A, Tomé M, Costa ACMM, Krystopchuk A, Branco T, Esteves S, Melo MA, Monte J, Rua F, Martins I, Pinho-Oliveira VM, Rodrigues CM, Cabral R, Marques S, Rêgo S, Jesus JST, Marques MC, Romao C, Dias S, Santos AM, Alves MJ, Salta C, Cruz S, Duarte C, Paiva AAF, Cabral TDN, Faria E Maia D, Correia da Silva RFM, Langner A, Resendes HO, Soares MDC, Abrunhosa A, Faria F, Miranda L, Pereira H, Serra S, Ionescu D, Margarit S, Mitre C, Vasian H, Manga G, Stefan A, Tomescu D, Filipescu D, Paunescu MA, Stefan M, Stoica R, Gavril L, Pătrășcanu E, Ristescu I, Rusu D, Diaconescu C, Iosep GF, Pulbere D, Ursu I, Balanescu A, Grintescu I, Mirea L, Rentea I, Vartic M, Lupu MN, Stanescu D, Streanga L, Antal O, Hagau N, Patras D, Petrisor C, Tosa F, Tranca S, Copotoiu SM, Ungureanu LL, Harsan CR, Papurica M, Cernea DD, Dragoescu NA, CarmenVaida LA, Ciobotaru OR, Aignatoaie M, Carp CP, Cobzaru I, Mardare O, Purcarin B, Tutunaru V, 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D, Wickboldt N, Baldwin J, Doyle D, Mcmullan S, Oladapo M, Owen T, Williams A, Daniel H, Gregory P, Husain T, Kirk-Bayley J, Mathers E, Montague L, Harper M, White S, Jack J, Ridley C, Avis J, Cook T, Dali-Kemmery L, Kerslake I, Lambourne V, Pearson A, Boyd C, Callaghan M, Lawson C, McCrossan R, Nesbitt V, O'connor L, Scott J, Sinclair R, Farid N, Morgese C, Bhatia K, Karmarkar S, Ahmed J, Branagan G, Hutton M, Swain A, Brookes J, Cornell J, Dolan R, Hulme J, Jansen van Vuuren A, Jowitt T, Kalashetty G, Lloyd F, Patel K, Sherwood N, Brown L, Chandler B, Deighton K, Emma T, Haunch K, Cheeseman M, Dent K, Garg S, Gray C, Hood M, Jones D, Juj J, Rao R, Walker T, Al Anizi M, Cheah C, Cheing Y, Coutinho F, Gondo P, Hadebe B, Hove MO, Ahamed Khader, Krishnachetty B, Rhodes K, Sokhi J, Baker KA, Bertram W, Looseley A, Mouton R, Hanna G, Arnold G, Arya S, Balfoussia D, Baxter L, Harris J, Jones C, Knaggs A, Markar S, Perera A, Scott A, Shida A, Sirha R, Wright S, Frost V, Gray C, Andrews E, 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M, Shah K, Simons H, Solanki S, Spowart E, Stevens A, Thomas C, Waggett H, Yassaee A, Kennedy A, Scott S, Somanath S, Berg A, Hernandez M, Nanda R, Tank G, Wilson N, Wilson D, Al-Soudaine Y, Baldwin M, Cornish J, Davies Z, Davies L, Edwards M, Frewer N, Gallard S, Glasbey J, Harries R, Hopkins L, Kim T, Koompirochana V, Lawson S, Lewis M, Makzal Z, Scourfield S, Ahmad Y, Bates S, Blackwell C, Bryant H, Collins H, Coulter S, Cruickshank R, Daniel S, Daubeny T, Edwards M, Golder K, Hawkins L, Helen B, Hinxman H, Levett D, Salmon K, Seaward L, Skinner B, Tyrell B, Wadams B, Walsgrove J, Dickson J, Constantin K, Karen M, O'Brien P, O'Donohoe L, Payne H, Sundayi S, Walker E, Brooke J, Cardy J, Humphreys S, Kessack L, Kubitzek C, Kumar S, Cotterill D, Hodzovic E, Hosdurga G, Miles E, Saunders G, Campbell M, Chan P, Jemmett K, Raj A, Naik A, Oshowo A, Ramamoorthy R, Shah N, Sylvan A, Blyth K, Burtenshaw A, Freeman D, Johnson E, Lo P, Martin T, Plunkett E, Wollaston J, Allison J, Carroll C, Craw N, Craw S, Pitt-Kerby T, Rowland-Axe R, Spurdle K, McDonald A, Simon D, Sinha V, Smith T, Banner-Goodspeed V, Boone M, Campbell K, Lu F, Scannell J, Sobol J, Balajonda N, Clemmons K, Conde C, Elgasim M, Funk B, Hall R, Hopkins T, Olaleye O, Omer O, Pender M, Porto A, Stevens A, Waweru P, Yeh E, Bodansky D, Evans A, Kleopoulos S, Maril R, Mathney E, Sanchez A, Tinuoye E, Bateman B, Eng K, Jiang N, Ladha K, Needleman J, Chen LL, Lane R, Robinowitz D, Ghushe N, Irshad M, O'Connor J, Patel S, Takemoto S, Wallace A, Mazzeffi M, Rock P, Wallace K, Zhu X, Chua P, Mattera M, Sharar R, Thilen S, Treggiari M, Morgan A, Sofjan I, Subramaniam K, Avidan M, Maybrier H, Muench M, Wildes T., Université de Lille, CHU Lille, Queen Mary University of London [QMUL], Graduate School, Medical Microbiology and Infection Prevention, Clinical Immunology and Rheumatology, 01 Internal and external specialisms, ACS - Heart failure & arrhythmias, AGEM - Endocrinology, metabolism and nutrition, APH - Quality of Care, ACS - Diabetes & metabolism, AII - Amsterdam institute for Infection and Immunity, ACS - Microcirculation, Pearse, R M, International Surgical Outcomes Study (ISO), Group, Zangrillo, A, Landoni, G, Beretta, L., International Surgical Outcomes Study (ISOS) group, Pearse, R.M., Beattie, S., Clavien, P.A., Demartines, N., Fleisher, L.A., Grocott, M., Haddow, J., Hoeft, A., Holt, P., Moreno, R., Pritchard, N., Rhodes, A., Wijeysundera, D., Wilson, M., Ahmed, T., Everingham, K., Hewson, R., Januszewska, M., Phull, M.K., Halliwell, R., Shulman, M., Myles, P., Schmid, W., Hiesmayr, M., Wouters, P., de Hert, S., Lobo, S., Fang, X., Rasmussen, L., Futier, E., Biais, M., Venara, A., Slim, K., Sander, M., Koulenti, D., Arvaniti, K., Chan, M., Kulkarni, A., Chandra, S., Tantri, A., Geddoa, E., Abbas, M., Della Rocca, G., Sivasakthi, D., Mansor, M., Luna, P., Bouwman, A., Buhre, W., Beavis, V., Campbell, D., Short, T., Osinaike, T., Matos, R., Grigoras, I., Kirov, M., Protsenko, D., 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Subramaniam, K., Avidan, M., Maybrier, H., Muench, M., and Wildes, T.
Subjects: Male, Postoperative Complications/epidemiology, Hospital mortality, [SDV]Life Sciences [q-bio], surgery, Postoperative Complications, 0302 clinical medicine, cohort studies, 030202 anesthesiology, patient safety, 030212 general & internal medicine, Postoperative Period, Medicine(all), Middle Aged, Checklist, 3. Good health, Treatment Outcome, operative/mortality, Elective Surgical Procedures, Surgical Procedures, Operative, Meta-analysis, Cohort, Cohort studies, Female, Elective Surgical Procedure, postoperative care/methods, postoperative care/statistics and numerical data, surgical procedures, Anesthesiology and Pain Medicine, Cohort study, Adult, medicine.medical_specialty, Evidence-based medicine, NO, 03 medical and health sciences, Patient safety, medicine, postoperative care/method, Humans, Elective Surgical Procedures/standards, Aged, Cohort Studies, Evidence-Based Medicine, Hospital Mortality, Patient Safety, Postoperative Complications/mortality, Postoperative Complications/prevention & control, Surgical Procedures, Operative/methods, business.industry, Odds ratio, Surgery, Observational study, business, cohort studie
Abstract: BACKGROUND: The surgical safety checklist is widely used to improve the quality of perioperative care. However, clinicians continue to debate the clinical effectiveness of this tool.METHODS: Prospective analysis of data from the International Surgical Outcomes Study (ISOS), an international observational study of elective in-patient surgery, accompanied by a systematic review and meta-analysis of published literature. The exposure was surgical safety checklist use. The primary outcome was in-hospital mortality and the secondary outcome was postoperative complications. In the ISOS cohort, a multivariable multi-level generalized linear model was used to test associations. To further contextualise these findings, we included the results from the ISOS cohort in a meta-analysis. Results are reported as odds ratios (OR) with 95% confidence intervals.RESULTS: We included 44 814 patients from 497 hospitals in 27 countries in the ISOS analysis. There were 40 245 (89.8%) patients exposed to the checklist, whilst 7508 (16.8%) sustained ≥1 postoperative complications and 207 (0.5%) died before hospital discharge. Checklist exposure was associated with reduced mortality [odds ratio (OR) 0.49 (0.32-0.77); PCONCLUSIONS: Patients exposed to a surgical safety checklist experience better postoperative outcomes, but this could simply reflect wider quality of care in hospitals where checklist use is routine.
Published: 2018
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36. Automatic 3D face component analysis technique

Author: Chang-Joon Park, Bon-Woo Hwang, Seong-Jae Lim, Seung-Uk Yoon, and Jin Sung Choi
Subjects: Component analysis, Computer science, business.industry, Face (geometry), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computer vision, Segmentation, Animation, Artificial intelligence, business, Computer facial animation, ComputingMethodologies_COMPUTERGRAPHICS
Abstract: This paper proposes a technique to perform segmentation for the meaningful regions that part of the face captured by 3D scanners or 3D sensors, automatically. Each part recognition of the scanned face is vital for the 3D applications such as modeling, animation and 3D printing. We transfer the template model labeled with the meaningful part to the scanned face model to find the corresponding part of each meaningful part of the template model. This technique can be used to the several applications such as 3D face modeling, facial animation, virtual facial surgery and 3D printing.
Published: 2018
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37. Career Concerns and Management Earnings Guidance

Author: Andrew Chunwon Yi, Suil Pae, and Chang Joon Song
Subjects: Economics and Econometrics, 050208 finance, ComputingMilieux_THECOMPUTINGPROFESSION, Earnings, business.industry, 05 social sciences, ComputingMilieux_PERSONALCOMPUTING, ComputingMilieux_LEGALASPECTSOFCOMPUTING, Accounting, 050201 accounting, GeneralLiterature_MISCELLANEOUS, Incentive, 0502 economics and business, Economics, Market expectations, Earnings guidance, business, Finance
Abstract: This study provides evidence that managers' career concerns affect their earnings guidance decisions. We hypothesize that CEOs who are relatively more concerned about assessments of their abilities have stronger incentives to guide the market expectations of earnings downwards to increase the likelihood of meeting or beating the expectations. Consistent with this hypothesis, we find that (i) short-tenured CEOs, CEOs promoted from inside the firm, and nonfounder CEOs are more likely to provide downward earnings guidance when they have bad news, and (ii) their downward guidance tends to be more conservative. In response, analysts revise earnings forecasts less for the downward guidance provided by more career-concerned CEOs. This indicates that analysts rationally incorporate these CEOs' stronger incentives to be conservative in their earnings guidance. Consequently, we find that CEOs with greater career concerns are not more likely to beat the market expectations, even when they provide more conservative downward guidance. [ABSTRACT FROM AUTHOR]
Published: 2015
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38. Difficult intubation using intubating laryngeal mask airway in conjunction with a fiber optic bronchoscope

Author: Chang-Joon Lee, Jin Sun Kim, Seong Su Kim, Hwa Sung Jung, and Dong Kyun Seo
Subjects: Larynx, medicine.medical_specialty, Bronchoscope, Light wand, business.industry, medicine.medical_treatment, Case Report, Surgery, medicine.anatomical_structure, Intubating laryngeal mask airway, Combitube, Laryngeal mask airway, LMA, Anesthesia, medicine, Intubation, A fibers, business, Difficult intubation
Abstract: When anesthesiologists encounter conditions in which intubation is not possible using a conventional direct laryngoscope, they can consider using other available techniques and devices such as fiber optic bronchoscope (FOB)-guided intubation, a laryngeal mask airway (LMA), intubating LMA (ILMA), a light wand, and the Combitube. FOB-guided intubation is frequently utilized in predicted difficult airway cases and is generally performed when the patient is awake to enable easier access to the trachea. An LMA can be introduced to ventilate the patient with relative ease, while an ILMA can be used for definite endotracheal intubation. However, occasionally, an endotracheal tube (ETT) cannot pass through the larynx, despite successful introduction of a FOB into the trachea and placement of an ILMA by the anesthesiologist. Therefore, we initially introduced an ILMA for emergent ventilation, followed by successful insertion of an ETT under FOB guidance. In this report, we describe three cases of difficult intubation using a FOB and ILMA combination approach.
Published: 2015

39. Efficient Broadband Current-Mode Adder- Quantizer Design for Continuous-Time Sigma–Delta Modulators

Author: Marvin Onabajo, Chang-Joon Park, Aydin Ilker Karsilayan, Jose Silva-Martinez, and Hemasundar Mohan Geddada
Subjects: Engineering, Differential nonlinearity, Comparator, business.industry, Quantization (signal processing), Clock rate, Flash ADC, Delta-sigma modulation, Effective number of bits, Integral nonlinearity, Hardware and Architecture, Electronic engineering, Hardware_ARITHMETICANDLOGICSTRUCTURES, Electrical and Electronic Engineering, business, Software
Abstract: A 3-bit current-mode flash quantizer with current summing stage in a commercial 90-nm CMOS technology is presented. The topology is intended for low-power feed-forward continuous-time sigma–delta modulators. Current summation is realized using a common-gate structure. Replicas of the input signal current are compared with the reference currents through high-impedance nodes that ease the signal quantization. The comparison stage employs reset switches to enable fast comparisons. The proposed approach involves zero crossing comparators, and it employs current references instead of voltage references that demand a power-hungry resistive ladder. Results show that the proposed current-mode approach is faster than the conventional voltage-mode flash approach, and it requires a smaller input capacitance while consuming 53% less power. A 3-bit prototype design has a measured effective number of bits over 2.6 bits up to 2-GHz clock frequency with 10-MHz full-scale input signal. At 1.48-GHz clock frequency, the static differential nonlinearity (DNL) and integral nonlinearity (INL) errors are within −0.206 least significant bit (LSB) and 0.206 LSB, respectively. The proposed current-mode flash analog-to-digital converter (ADC) core dissipates 3.34-mW analog power from a 1.2 V supply while operating at 1.48 GHz. The core area of the ADC including the biasing circuitry is 0.0276 $\mathrm{mm}^{\mathrm {\mathbf {2}}}$ .
Published: 2015
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40. Effect of Mixing Method on Mechanical Properties of Fiber Reinforced Concrete

Author: Hyunwook Kim and Chang Joon Lee
Subjects: Materials science, Flexural modulus, business.industry, Three point flexural test, Structural engineering, Fiber-reinforced concrete, Flexural toughness, law.invention, Compressive strength, Flexural strength, law, Composite material, business, Mixing (physics)
Abstract: Fiber reinforced concrete (FRC) has been successfully used to enhance the flexural toughness of concrete. As fibers are randomly oriented in FRC, they sometimes produce clumps that reduce the mechanical performance, and a properly chosen mixing protocol can be a way to minimize this problem. In this research, the effects of mixing method on the mechanical properties of FRC were investigated. The compressive strength, flexural strength, and flexural toughness were measured using three different mixing methods. It was shown from the results that the compressive strength and peak flexural load were not affected by changes in mixing method. However, in terms of flexural toughness, the changes in mixing method clearly affected the flexural toughness of FRC. The truck-mixed FRC outperformed two pan-mixed FRCs.
Published: 2015
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41. Characteristics of Elastic Wave in Fire damaged High Strength Concrete using Impact-echo Method

Author: Ji Hee Lee, Wha Jung Kim, Chang Joon Lee, and Jun Cheol Lee
Subjects: Materials science, Dynamic modulus of elasticity, business.industry, Echo (computing), Elastic wave velocity, Structural engineering, Composite material, business, Elastic modulus, High strength concrete
Abstract: C의 고온에 2시간 동안 노출한 후 충격반향기법의 응답스펙트럼을 이용하여시편의 탄성파 속도를 측정하였으며, 이를 이용하여 동탄성계수를 산출하였다. 이후 직접 압축강도 실험을 통해 시편의잔존압축강도와 정탄성계수를 측정하였다. 실험결과, 노출되는 온도가 높을수록 탄성파의 속도, 동탄성계수, 잔존압축강도, 정탄성계수가 저하되는 경향을 나타냈으며, 탄성파 속도와 압축강도, 동탄성계수와 정탄성계수는 선형적인 상관관계를 나타냈다. 따라서 충격반향기법을 이용하여 화해를 입은 고강도 콘크리트의 화재손상정도를 평가하는 것이 가능하다고 판단된다.ABSTRACTIn this study, the damages of high strength concrete exposed to high temperature have been evaluated by the impactecho method. Elastic wave velocity and dynamic modulus of elasticity were measured by the impact echo method, and thecompressive strength and the static modulus of elasticity were measured by the compression testing method after expo-sure to high temperature. The results showed that elastic wave velocity has a linear correlation with the compressivestrength and dynamic modulus of elasticity has a linear correlation with static modulus of elasticity. Based on results, it isconcluded that the impact echo method can be effectively applied to evaluate the mechanical properties of fire damagedhigh strength concrete.Keywords : Impact echo method, Fire damage, Elastic wave velocity, Dynamic modulus of elasticity
Published: 2015
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42. Unilateral sudden sensorineural hearing loss after combined spinal-epidural anesthesia for emergency cesarean section -A case report

Author: Chang-Joon Lee, Byoung-woo Yoo, Sang-Hyeon Cho, Jin Sun Kim, and Eui-kyun Jeong
Subjects: medicine.medical_specialty, Emergency Cesarean Section, business.industry, Hearing loss, General Medicine, Surgery, 03 medical and health sciences, 0302 clinical medicine, Combined spinal epidural, 030202 anesthesiology, Sudden sensorineural hearing loss, Anesthesia, Medicine, medicine.symptom, 030223 otorhinolaryngology, business
Published: 2016
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43. Endotracheal intubation using smartphone endoscope camera

Author: Chang-Joon Lee, Jin-Sun Kim, and Sang-Hyeon Cho
Subjects: medicine.medical_specialty, Endoscope, business.industry, medicine, Endotracheal intubation, General Medicine, business, Surgery
Published: 2016
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44. Renal haemodynamics and oxygenation during and after cardiac surgery and cardiopulmonary bypass

Author: David Smith, Yugeesh R Lankadeva, Roger G. Evans, Clive N. May, Andrew D. Cochrane, Bruno Marino, Michael Z.L. Zhu, Julian A. Smith, Sally G Hood, Rinaldo Bellomo, Chang Joon Lee, Bruce S. Gardiner, and Naoya Iguchi
Subjects: medicine.medical_specialty, Physiology, 030232 urology & nephrology, Renal function, 030204 cardiovascular system & hematology, Kidney, urologic and male genital diseases, law.invention, 03 medical and health sciences, 0302 clinical medicine, law, Internal medicine, medicine, Cardiopulmonary bypass, Animals, Humans, Hypoxia, Intensive care medicine, Cardiopulmonary Bypass, business.industry, Cardiovascular Surgical Procedures, Hemodynamics, Acute kidney injury, Oxygenation, Acute Kidney Injury, Hypoxia (medical), medicine.disease, 3. Good health, Cardiac surgery, medicine.anatomical_structure, Blood pressure, Cardiology, medicine.symptom, business
Abstract: Acute kidney injury (AKI) is a common complication following cardiac surgery performed on cardiopulmonary bypass (CPB) and has important implications for prognosis. The aetiology of cardiac surgery-associated AKI is complex, but renal hypoxia, particularly in the medulla, is thought to play at least some role. There is strong evidence from studies in experimental animals, clinical observations and computational models that medullary ischaemia and hypoxia occur during CPB. There are no validated methods to monitor or improve renal oxygenation during CPB, and thus possibly decrease the risk of AKI. Attempts to reduce the incidence of AKI by early transfusion to ameliorate intra-operative anaemia, refinement of protocols for cooling and rewarming on bypass, optimization of pump flow and arterial pressure, or the use of pulsatile flow, have not been successful to date. This may in part reflect the complexity of renal oxygenation, which may limit the effectiveness of individual interventions. We propose a multi-disciplinary pathway for translation comprising three components. Firstly, large-animal models of CPB to continuously monitor both whole kidney and regional kidney perfusion and oxygenation. Secondly, computational models to obtain information that can be used to interpret the data and develop rational interventions. Thirdly, clinically feasible non-invasive methods to continuously monitor renal oxygenation in the operating theatre and to identify patients at risk of AKI. In this review, we outline the recent progress on each of these fronts.
Published: 2017
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45. Bidirectional pyramid-based PMVS with automatic sky masking

Author: Chang-Joon Park and Jung-Jae Yu
Subjects: Masking (art), business.industry, Computer science, media_common.quotation_subject, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Point cloud, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Computer Science::Robotics, Set (abstract data type), Sky, Computer Science::Computer Vision and Pattern Recognition, Pyramid, Computer vision, Pyramid (image processing), Artificial intelligence, Noise (video), business, Aerial image, media_common
Abstract: In this paper, we propose an improved method for generating a dense point cloud from aerial images captured by a UAV camera. The proposed method is based on a PMVS approach and generates a dense 3D points using a bidirectional pyramid images. This approach is suitable for the characteristics of the aerial image set when the distance between the camera and the subject is large. In addition, the proposed method uses an automatic sky masking technique to generate a clean reconstruction result free of noise components in the sky area. The proposed method is applied not only to open experimental images but also to UAV aerial images.
Published: 2017
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46. High quality texture reconstruction from multi-view images

Author: Chang-Joon Park and Hye-Sun Kim
Subjects: business.industry, Computer science, media_common.quotation_subject, 3D reconstruction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Illuminance, 020207 software engineering, 02 engineering and technology, Iterative reconstruction, Real image, Texture (geology), Face (geometry), 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Quality (business), Artificial intelligence, business, Texture reconstruction, ComputingMethodologies_COMPUTERGRAPHICS, media_common
Abstract: Texture reconstruction is the last step of 3D reconstruction pipelines that makes 3D geometry models very impressive and beautiful. Once the 3D model is created through structure-from-motion, multi-view stereo and mesh reconstruction, real image based texture is mapped to the models. But it is not easy to generate high quality texture. There are many difficulties cause problems: the large number of input images, their exposure variations, and external illuminance change. The proposed technique is able to generate seamless and high quality textures by view selection optimization and color adjustment.
Published: 2017
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47. Shape Acquisition System Using an Handheld Line Laser Pointer Without Markers

Author: Chang-Joon Park, Jin Sung Choi, Hyun Seo Kang, and Jae-Hean Kim
Subjects: Scanner, Computer science, business.industry, 3D reconstruction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020207 software engineering, Triangulation (computer vision), 02 engineering and technology, Laser, law.invention, Software portability, law, Line (geometry), 0202 electrical engineering, electronic engineering, information engineering, Laser pointer, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Mobile device
Abstract: We describe a 3D shape acquisition system composed of a camera and a line laser pointer. A low-cost laser 3D scanner is proposed having a simple tool to solve the positioning problem for the triangulation based 3D reconstruction. In contrast to the previous works that require a special platform or background geometry, the proposed system has advantages of portability and easy maintenance. Moreover, since auto-calibration method is presented, the proposed system is more convenient than the previous works and has advantage in maintaining accuracy.
Published: 2017
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48. Optimal Cut-Off Value of the Superior Articular Process Area as a Morphological Parameter to Predict Lumbar Foraminal Stenosis

Author: Chang Joon Rhyu, Young Su Lim, Yongsoo Lee, Keum Nae Kang, Eun Young Chae, Hyung Rae Cho, Soo Il Choi, Tae-Ha Lim, and Young Uk Kim
Subjects: Male, medicine.medical_specialty, Article Subject, Constriction, Pathologic, Facet joint, Constriction, 03 medical and health sciences, 0302 clinical medicine, Lumbar, Spinal Stenosis, 030202 anesthesiology, parasitic diseases, medicine, Image Processing, Computer-Assisted, Humans, Aged, Retrospective Studies, Foraminal stenosis, Aged, 80 and over, lcsh:R5-920, Lumbar Vertebrae, medicine.diagnostic_test, business.industry, Cut off value, Lumbosacral Region, Retrospective cohort study, Magnetic resonance imaging, Middle Aged, Control subjects, Magnetic Resonance Imaging, Surgery, Anesthesiology and Pain Medicine, medicine.anatomical_structure, Neurology, ROC Curve, Female, Nuclear medicine, business, lcsh:Medicine (General), 030217 neurology & neurosurgery, Research Article
Abstract: Background. We devised a new morphological parameter called the superior articular process area (SAPA) to evaluate the connection between lumbar foraminal stenosis (LFS) and the superior articular process. Objective. We hypothesized that the SAPA is an important morphologic parameter in the diagnosis of LFS. Methods. All patients over 60 years of age were included. Data regarding the SAPA were collected from 137 patients with LFS. A total of 167 control subjects underwent lumbar magnetic resonance imaging (MRI) as part of a routine medical examination. We analyzed the cross-sectional area of the bone margin of the superior articular process at the level of L4-L5 facet joint in the axial plane. Results. The average SAPA was 96.3±13.6 mm2 in the control group and 128.1±17.2 mm2 in the LFS group. The LFS group was found to have significantly higher levels of SAPA (p<0.001) in comparison to the control group. In the LFS group, the optimal cut-off value was 112.1 mm2, with 84.4% sensitivity, 83.9% specificity, and AUC of 0.94 (95% CI: 0.91–0.96). Conclusions. Higher SAPA values were associated with a higher possibility of LFS. These results are important in the evaluation of patients with LFS.
Published: 2017

49. Modeling the physical dynamics of daily dew point temperature using soft computing techniques

Author: Youngmin Seo, Sungwon Kim, Vijay P. Singh, and Chang-Joon Lee
Subjects: Soft computing, Engineering, Artificial neural network, business.industry, Statistical model, Machine learning, computer.software_genre, Regression, Dew point, Scatter plot, Multilayer perceptron, Linear regression, Statistics, Artificial intelligence, business, computer, Civil and Structural Engineering
Abstract: The objective of this study is to develop soft computing models, including Generalized Regression Neural Networks (GRNN) and Multilayer Perceptron (MLP), for modeling daily dew point temperature. For the data from U.C. Riverside and Durham stations in California, USA, the best input combinations (1-, 2-, 3-, and 4-input) were identified using GRNN. The performance evaluation and scatter diagrams of GRNN indicated that the average soil Temperature (Ts) produced the best results among 1-input combinations for both stations. Adding other input variables to the best combinations improved the performance of GRNN. MLP was used to estimate daily dew point temperature using the best input combinations (1-, 2-, 3-, and 4-input) identified by GRNN. Adding other input variables to the best input combinations also improved the performance of MLP. Comparison indicated that results of GRNN were better than those of MLP for both stations. A Multiple Linear Regression Model (MLRM), one of the conventional statistical models, was also compared with GRNN and MLP, and the soft computing models were found to estimate daily dew point temperature more accurately.
Published: 2014
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50. Electrical Impedance Response Model of Concrete in Setting Process

Author: Sung Woo Shin, Garam Hwang, and Chang Joon Lee
Subjects: Cement, Schedule, Engineering, Electrical resistance and conductance, Response model, business.industry, Process (computing), Structural engineering, Mortar, business, Impedance response, Electrical impedance
Abstract: Assessment of setting process of concrete is important as it provides useful information to schedule concreting work in construction site. Electrical impedance measurement method, which utilizes the change of electrical resistance of concrete, has been applied to assess setting process of cement-based materials. However, the applicability of the method has been demonstrated only for cement paste and mortar. The main purpose of this research is to develop the electrical impedance based setting process assessment for concrete. To this end, electrical impedance response model for concrete should be developed in advance since it is essential to estimate the electrical resistance of concrete from measured impedance response. The electrical resistance of concrete is a key parameter for the setting process assessment. In this study electrical impedance responses of the concrete in setting process are measured and analyzed. Thereby, an electrical impedance response model of the liquid state concrete is developed and schematically validated.
Published: 2014
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