84 results on '"Stephen Phillips"'
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2. ‘Never let a good crisis go to waste’ – The 2020 Business Information Review Survey: Part III
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Stephen Phillips
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Business information ,Class (computer programming) ,Goto ,Client engagement ,business.industry ,Operating environment ,Economics, Econometrics and Finance (miscellaneous) ,Benchmarking ,Public relations ,Part iii ,Business, Management and Accounting (miscellaneous) ,Organizational structure ,Business ,Business and International Management - Abstract
Part III of the 2020 Business Information Review survey, this is the world’s longest running conversation about business information services and their management, which is celebrating its 30th anniversary. The third installment of the 2020 survey captures the participants’ reflections on a range of topics that are shaping their operations including supplier relations, client engagement as well as providing a summary of their 2021 priorities.
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- 2021
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3. It’s Not My Problem: How Healthcare Models Relate to SME Cybersecurity Awareness
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Costas Boletsis, Stephen Phillips, Ragnhild Halvorsrud, Mike Surridge, and J. Brian Pickering
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business.industry ,Resource constraints ,SME ,Significant part ,Cybersecurity awareness ,Qualitative methods ,Computer security ,computer.software_genre ,Normalisation Process Theory ,Work (electrical) ,Health care ,Health belief model ,Narrative ,Small and medium-sized enterprises ,business ,computer ,Small-story narrative ,Qualitative research ,Health Belief Model ,Technology adoption - Abstract
Small and medium enterprises (SMEs) make up a significant part of European economies. Despite their economic importance, they are often described as poorly placed to deal with cyber risks because of resource constraints or commercial interests. Providing appropriate tooling would facilitate a greater appreciation of the risks and provide mitigation strategies. In a series of workshops demonstrating visualization tools for cybersecurity, constructs from healthcare models such as awareness, self-efficacy, and a willingness to engage were investigated to throw light on the likelihood that the technologies would be adopted. Although most constructs were validated, it turns out that self-efficacy could more appropriately be interpreted as a desire to understand a broader company narrative rather than empowering any individual to identify and manage cyber risk. As part of an ongoing examination of technology acceptance, this work provides further evidence that technology must be contextualised to make sense for the individual as part of the SME rather than as individual employee.
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- 2021
4. Routine postoperative blood tests in all patients undergoing Total Hip Arthroplasty as part of an enhanced recovery pathway: Are they necessary?
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Stephen Phillips, Vipul Garg, Ibrahim A. Malek, Ian Starks, Neil Agnew, and Iain Byrom
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030222 orthopedics ,medicine.medical_specialty ,Blood transfusion ,business.industry ,medicine.medical_treatment ,Medical record ,Total hip replacement ,Renal function ,Retrospective cohort study ,Electrolyte disturbance ,Article ,Surgery ,03 medical and health sciences ,0302 clinical medicine ,Enhanced recovery ,medicine ,Orthopedics and Sports Medicine ,030212 general & internal medicine ,business ,Total hip arthroplasty - Abstract
Introduction The increasing demand for Total Hip replacement (THR)/Total Hip Arthroplasty (THA) continues to place significant financial pressure on the National Health Service (NHS). Many institutions undertake post-operative blood tests routinely in this group of patients. The aim of this study was to identify if such routine blood tests (Full Blood Count (FBC) and Urea and Electrolytes(U&Es)) are required in all THR patients post-operatively. Methods Single institute, Multi-surgeon, retrospective observational study of consecutive patients who underwent primary elective THR done from Jan 2014 to Dec 2018.Post-operative blood tests and medical records were reviewed to identify derangement in haemoglobin (Hb) level and renal function requiring clinical intervention. Results Over the period of 4 years, 353 patients underwent elective THR with mean age of 70 years (range: 42–90). There were 203 Males and 150 Females. Mean pre-operative Hb was 134.7 g/l. Mean post-operative drop in Hb was 22.3 g/l. None of the patients in ASA grade 1 and 2 with age ≤70 years required blood transfusion post operatively. 6.4% of patients (n = 18/280) with an ASA of 1–2 had postoperative blood results requiring intervention of which only four (1.2%) were ≤70 years of age compared to 17.8% of patients (n = 14/73) with ASA 3–4. Overall none of the patients in ASA grade 1 and 2 with age ≤70 years required blood transfusion post operatively nor had electrolyte disturbance. 1.2% had deranged renal function that needed minor clinical intervention. Conclusion Routine post-operative blood analyses may not required for all patients undergoing THA. Young and healthier patients seldom have significant abnormalities on routine post-operative blood analyses which requires clinical intervention.
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- 2020
5. 2D versus 3D laparoscopic total mesorectal excision: a developmental multicentre randomised controlled trial
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A. S. Allison, Timothy Rockall, Nathan J Curtis, Iain Jourdan, Jonathan Ockrim, Nader K. Francis, John A. Conti, Jared Torkington, Richard Dalton, George B. Hanna, J. Allison, and Stephen Phillips
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Male ,Anastomotic Leak ,SURGICAL COMPLICATIONS ,Trial ,law.invention ,0302 clinical medicine ,Randomized controlled trial ,law ,PATHOLOGICAL OUTCOMES ,Medicine ,Rectal cancer ,Laparoscopy ,Intraoperative Complications ,medicine.diagnostic_test ,OPEN-LABEL ,Total mesorectal excision ,Colorectal surgery ,030220 oncology & carcinogenesis ,030211 gastroenterology & hepatology ,Female ,Three-dimensional ,Life Sciences & Biomedicine ,3D ,Reoperation ,medicine.medical_specialty ,LOW-RECTAL-CANCER ,Anastomosis ,CLASSIFICATION ,Article ,CHEMORADIOTHERAPY ,03 medical and health sciences ,COLORECTAL SURGERY ,Laparoscopic ,Imaging, Three-Dimensional ,QUALITY ,Humans ,RELIABILITY-ANALYSIS OCHRA ,Adverse effect ,Mesorectal ,Aged ,Science & Technology ,ASSISTED RESECTION ,business.industry ,Rectal Neoplasms ,Rectum ,1103 Clinical Sciences ,Length of Stay ,Surgery ,Lymph Node Excision ,business ,Abdominal surgery - Abstract
Aims The role of laparoscopy in rectal cancer has been questioned. 3D laparoscopic systems are suggested to aid optimal surgical performance but have not been evaluated in advanced procedures. We hypothesised that stereoscopic imaging could improve the performance of laparoscopic total mesorectal excision (TME). Methods A multicentre developmental randomised controlled trial comparing 2D and 3D laparoscopic TME was performed (ISRCTN59485808). Trial surgeons were colorectal consultants that had completed their TME proficiency curve and underwent stereoscopic visual testing. Patients requiring elective laparoscopic TME with curative intent were centrally randomised (1:1) to 2D or 3D using Karl Storz IMAGE1 S D3-Link™ and 10-mm TIPCAM®1S 3D passive polarising laparoscopic systems. Outcomes were enacted adverse events as assessed by the observational clinical human reliability analysis technique, intraoperative data, 30-day patient outcomes, histopathological specimen assessment and surgeon cognitive load. Results 88 patients were included. There were no differences in patient or tumour demographics, surgeon stereopsis, case difficulty, cognitive load, operative time, blood loss or conversion between the trial arms. 1377 intraoperative adverse events were identified (median 18 per case, IQR 14–21, range 2–49) with no differences seen between the 2D and 3D arms (18 (95% CI 17–21) vs. 17 (95% CI 16–19), p = 0.437). 3D laparoscopy had non-significantly higher mesorectal fascial plane resections (94 vs. 77%, p = 0.059; OR 0.23 (95% CI 0.05–1.16)) but equal lymph node yield and circumferential margin distance and involvement. 30-day morbidity, anastomotic leak, re-operation, length of stay and readmission rates were equal between the 2D and 3D arms. Conclusion Feasibility of performing multicentre 3D laparoscopic multicentre trials of specialist performed complex procedures is shown. 3D imaging did not alter the number of intraoperative adverse events; however, a potential improvement in mesorectal specimen quality was observed and should form the focus of future 3D laparoscopic TME trials. Electronic supplementary material The online version of this article (10.1007/s00464-018-06630-9) contains supplementary material, which is available to authorized users.
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- 2019
6. Intraoperative mannitol during robotic-assisted-laparoscopic partial nephrectomy
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Sharon Hill, Stephen Phillips, Nathan Hale, Kellen Choi, and Samuel Deem
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Adult ,Male ,medicine.medical_specialty ,Robotic assisted ,Saline infusion ,medicine.medical_treatment ,030232 urology & nephrology ,Urology ,Renal function ,Pilot Projects ,Health Informatics ,Nephrectomy ,03 medical and health sciences ,0302 clinical medicine ,Double-Blind Method ,Robotic Surgical Procedures ,Renal cell carcinoma ,medicine ,Humans ,Mannitol ,Postoperative Period ,Prospective Studies ,Prospective cohort study ,Carcinoma, Renal Cell ,Aged ,Aged, 80 and over ,Intraoperative Care ,business.industry ,Middle Aged ,medicine.disease ,Kidney Neoplasms ,Single surgeon ,Treatment Outcome ,030220 oncology & carcinogenesis ,Female ,Laparoscopy ,Surgery ,business ,Glomerular Filtration Rate ,medicine.drug - Abstract
Mannitol is routinely used during partial nephrectomies due to its renoprotective properties. With minimally invasive techniques, the need for mannitol has been questioned. Robotic-assisted laparoscopic partial nephrectomy (RALPN) has been shown to decrease warm ischemia time, which may potentially minimize the benefit of mannitol. To date, no prospective, randomized, controlled trials have investigated the use of mannitol in only robotic procedures. We hypothesize that the intraoperative mannitol use during RALPN provides no statistically significant benefit for post-operative renal function outcomes. We conducted a randomized, controlled, double-blinded, single surgeon, prospective study to assess renal function after RALPN. Patients were randomized into a control group with intravenous normal saline infusion prior to clamping of the vessels or to an experimental group with an infusion of mannitol. Estimated glomerular filtration rate (eGFR) were obtained prior to the surgery as well as post operatively at 24 h, 1 week, and 30 days. Preoperative eGFR showed no statistical differences between the groups and evaluation of median percent change in eGFR after surgery did not indicate a statistical difference between the groups after RALPN. After prospective analysis of the change in post-operative renal function of randomized groups who received 12 g of mannitol following RALPN, we determined that infusion of mannitol does not provide significant improvement of maintenance of renal functions after RALPN. Based on our results, we recommend discontinuing routine use of mannitol during RALPN.
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- 2018
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7. Critical care admission following elective surgery was not associated with survival benefit
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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, Flossos, Konstantinos, Stamoulis, 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, Lamwong, 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 Alit Aribawa, Aryabiantara, Arya, Tjokorda Gde Agung Senapathi, Utara Hartawan Utara, Widnyana Made Wid, Semarawima, Wima, Wiryana Made Wir, 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Hongying, Qin, Chao, Su, Lin, Wen, Zhiting, Xie, Keliang, Yu, Yonghao, Yuan, Fang, Hu, Xianwen, Zhang, Ye, Xiao, Wangpin, Zhu, Zhipeng, Dai, Qingqing, Fu, Kaiwen, Hu, Rong, Hu, Xiaolan, Huang, Song, Li, Yaqi, Liang, Yingping, Yu, Shuchun, Guo, Zheng, Jing, Yan, Tang, Na, Wu, Jie, Yuan, Dajiang, Zhang, Ruilin, Zhao, Xiaoying, Li, Yuhong, Bai, Hui-Ping, Liu, Chun-Xiao, Liu, Fei-Fei, Ren, Wei, Wang, Xiu-Li, Xu, Guan-Jie, Hu, Na, Li, Bo, Ou, Yangwen, Tang, Yongzhong, Yao, Shanglong, Zhang, Shihai, Kong, Cui-Cui, Liu, Bei, Wang, Tianlong, Xiao, Wei, Lu, Bo, Xia, Yanfei, Zhou, Jiali, Cai, Fang, Chen, Pushan, Hu, Shuangfei, Wang, Hongfa, Xu, Qiong, Hu, Liu, Jing, Liang, Li, Bin, Liu, Qiang, Liu, Yuejiang, Lu, Xinjian, Peng, Zhen Dan, Qiu, Xiaodong, Ren, Quan, Tong, Youliang, Wang, Jin, Wen, Yazhou, Wu, Qiong, Xia, Jiangyan, Xie, Jue, Xiong, Xiapei, Xu, Shixia, Yang, Tianqin, Ye, Hui, Yin, Ning, Yuan, Jing, Zeng, Qiuting, Zhang, Baoling, Zheng, Kang, Cang, Jing, Chen, Shiyu, Fan, Yu, Fu, Shuying, Ge, Xiaodong, Guo, Baolei, Huang, Wenhui, Jiang, Linghui, Jiang, Xinmei, Liu, Yi, Pan, Yan, Ren, Yun, Shan, Qi, Wang, Jiaxing, Wang, Fei, Wu, Chi, Zhang, Xiaoguang, Christiansen, Ida Cecilie, Granum, Simon Nørgaard, Rasmussen, Bodil Steen, Daugaard, Morten, Gambhir, Rajiv, Steingrímsdóttir, Guðný Erla, Jensen-Gadegaard, Peter, Olsen, Karsten Skovgaard, Siegel, Hanna, Zwicky Eskildsen, Katrine, Gätke, Mona Ring, Wibrandt, Ida, Heintzelmann, Simon Bisgaard, Lange, Kai Henrik Wiborg, Lundsgaard, Rune Sarauw, Amstrup-Hansen, Louise, Hovendal, Clau, Larsen, Michael, Lenstrup, Mette, Kobborg, Tina, Larsen, Jens Rolighed, Pedersen, Anette Barbre, Smith, Søren Hübertz, Oestervig, Rebecca Monett, Afshari, Arash, Andersen, Cheme, Ekelund, Kim, Secher, Erik Lilja, Brandsborg, Birgitte, Beloeil, Helene, Lasocki, Sigismond, Ouattara, Alexandre, Sineus, Marlene, Molliex, Serge, Legouge, Marie Lim, Wallet, Florent, Tesniere, Antoine, Gaudin, Christophe, Lehur, Paul, Forsans, Emma, de 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Siegfried, Andreadaki, Evangelia, Souri, Flora, Katsiadramis, Ioanni, Skoufi, Anthi, Vasileiou, Maria, Aimoniotou-Georgiou, Eleni, Katsourakis, Anastasio, Veroniki, Fotini, Vlachogianni, Glyceria, Petra, Konstantina, Chlorou, Dimitra, Oloktsidou, Eirini, Ourailoglou, Vasileio, Papapostolou, Konstantino, Tsaousi, Georgia, Daikou, Panagoula, Dedemadi, Georgia, Kalaitzopoulos, Ioanni, Loumpias, Christo, Bristogiannis, Sotirio, Dafnios, Nikolao, Gkiokas, Georgio, Kontis, Elissaio, Kozompoli, Dimitra, Papailia, Aspasia, Theodosopoulos, Theodosio, Bizios, Christol, Koutsikou, Anastasia, Moustaka, Aleaxandra, Plaitakis, Ioanni, Armaganidis, Apostolo, Christodoulopoulou, Theodora, Lignos, Mihail, Theodorakopoulou, Maria, Asimakos, Andrea, Ischaki, Eleni, Tsagkaraki, Angeliki, Zakynthinos, Spyro, Antoniadou, Eleni, Koutelidakis, Ioanni, Lathyris, Dimitrio, Pozidou, Irene, Voloudakis, Nikolao, Dalamagka, Maria, Gkonezou, Elena, Chronis, Christo, Manolakaki, Dimitra, Mosxogiannidis, Dimitri, 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Despina, Fiorentza, Klara, Frantzeskos, Georgio, Geromarkaki, Elisavet, Kafkalaki, Kalliopi, Kalogridaki, Marina, Karydi, Konstyllia, Kokkini, Sofia, Kougentakis, Georgio, Lefaki, Tatiana, Lilitsis, Emmanouhl, Makatounaki, Aikaterini, Malliotakis, Polychroni, Michelakis, Dimostheni, Neonaki, Maria, Nyktari, Vasileia, Palikyra, Iliana, Papadakis, Eleftherio, Papaioannou, Alexandra, Sfakianakis, Konstantino, Sgouraki, Maria, Souvatzis, Xenia, Spartinou, Anastasia, Stefanidou, Nefeli, Syrogianni, Paulina, Tsagkaraki, Georgia, Arnaoutoglou, Elena, Arnaoutoglou, Christina, Bali, Christina, Bouris, Vasilio, Doumos, Rodamantho, Gkini, Konstantia-Paraskevi, Kapaktsi, Clio, Koulouras, Vasilio, Lena, Arian, Lepida, Dimitra, Michos, Evangelo, Papadopoulos, Dimitrio, Paschopoulos, Mina, Rompou, Vaia Aliki, Siouti, Ioanna, Tsampalas, Stavro, Ververidou, Ourania, Zilis, Georgio, Charlalampidoy, Alexandra, Christodoulidis, Gregory, Flossos, Andrea, Stamoulis, Konstantino, Tsang, Man Shing Caleb, Tsang, Man Shing, Lai, Man Ling, Yip, Chi Pang, Chan, Hey Man Heyman, Law, Bassanio, Li, Wing Sze, Chu, Hiu Man, Koo, Emily Gar Yee, Lam, Chi Cheong Joe, Cheng, Ka Ho, Lam, Tracy, Chu, Susanna, Lam, Wing Yan, Wong, Kin Wai Kevin, Kwok, Dily, Hung, Ching Yue Janice, Chan, Wai Kit Jacky, LamWong, Wing, Chung, Chun Kwong Eric, Ma, Shu Kai, Kaushik, Shuchi, Shah, Bhagyesh, Shah, Dhiren, Shah, Sanjay, Ar, Praburaj, Muthuchellappan, Radhakrishnan, Agarwal, Vandana, Divatia, Jigeeshu, Mishra, Sanghamitra, Nimje, Ganesh, Pande, Swati, Savarkar, Sukhada, Shrivastava, Aditi, Thomas, Martin, Yegnaram, Shashikant, Hidayatullah, Rahmat, Puar, Nasman, Niman, Sumara, Indra, Imai, Hamzah, Zulkarnain, Yuliana, Annika, Abidin, Ucu Nurhadiat, Dursin, Ade Nurkacan, Kurnia, Andri, Susanti, Ade, Handayani, Dini, Aribawa, Mahaalit Alit, Arya, Aryabiantara, Senapathi, Tjokorda Gde Agung, Utara, Utara Hartawan, Wid, Widnyana Made, Wima, Semarawima, Wir, Wiryana Made, Jehosua, Brillyan, Kaunang, Jonathan, 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Sarki, Adamu Muhammad, Adekola, Oyebola, Akanmu, Olanrewaju, Durodola, Akanmu, Olukoju, Olusegun, Raji, Victor, Olajumoke, Tokunbo, Oyebamiji, Emmanuel, Adenekan, Anthony, Adetoye, Adenekan, Faponle, Folayemi, Olateju, Simeon, Owojuyigbe, Afolabi, Talabi, Ademola, Adenike, Odewabi, Adewale, Badru, Collins, Nwokoro, Ezekiel, Emmanuel, Fatungase, Oluwabunmi Motunrayo, Grace, Anuforo, Sola, Sotannde, Stella, Ogunmuyiwa, Ademola, Adeyinka, Adeolu, Augustine A., Adigun, Tinuolac, Akinwale, Mukaila, Fasina, Oluyemi, Gbolahan, Olalere, Idowu, Olusola, Olonisakin, Rotimi Peter, Osinaike, Babatunde Babasola, Asudo, Felicia, Mshelia, Danladi, Abdur-Rahman, Lukman, Agodirin, Olayide, Bello, Jibril, Bolaji, Benjamin, Oyedepo, Olanrewaju Olubukola, Ezike, Humphrey, Iloabachie, Ikechukwu, Okonkwo, Ikemefuna, Onuora, Elia, Onyeka, Tonia, Ugwu, Innocent, Umeh, Friday, Alagbe-Briggs, Olubusola, Dodiyi-Manuel, Amabra, Echem, Richard, Obasuyi, Bright, Onajin-Obembe, Bisola, Bandeira, Maria Expedito, 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Diaconescu, Ciresica, Iosep, Gabriel Florin, Pulbere, Dorin, Ursu, Irina, Balanescu, Andreea, Grintescu, Ioana, Mirea, Liliana, Rentea, Irina, Vartic, Mihaela, Lupu, Mary-Nicoleta, Stanescu, Dorin, Streanga, Lavinea, Antal, Oana, Hagau, Natalia, Patras, Dumitru, Petrisor, Cristina, Tosa, Flaviu, Tranca, Sebastian, Copotoiu, Sanda Maria, Ungureanu, Liviu Lucian, Harsan, Cristian Remu, Papurica, Mariu, Cernea, Daniela Denisa, Dragoescu, Nicoleta Alice, Aflori, Laura, Vaida, Carmen, Ciobotaru, Oana Roxana, Aignatoaie, Mariana, Carp, Cristina Paula, Cobzaru, Isabelle, Mardare, Oana, Purcarin, Bianca, Tutunaru, Valentin, Ionita, Victor, Arustei, Mirela, Codita, Anisoara, Busuioc, Mihai, Chilinciuc, Ion, Ciobanu, Cristina, Belciu, Ioana, Tincu, Eugen, Blaj, Mihaela, Grosu, Ramona-Mihaela, Sandu, Gigel, Bruma, Dana, Corneci, Dan, Dutu, Madalina, Krepil, Adriana, Copaciu, Elena, Dumitrascu, Clementina Oana, Jemna, Ramona, Mihaescu, Florentina, Petre, Raluca, Tudor, Cristina, Ursache, Elena, Kulikov, Alexander, Lubnin, Andrey, Grigoryev, Evgeny, Pugachev, Stanislav, Tolmasov, Alexander, Hussain, Ayyaz, Ilyina, Yana, Roshchina, Anna, Iurin, Aleksandr, Chazova, Elena, Dunay, Artem, Karelov, Alexey, Khvedelidze, Irina, Voldaeva, Olga, Belskiy, Vladislav, Dzhamullaev, Parvin, Grishkowez, Elena, Kretov, Vladimir, Levin, Valeriy, Molkov, Aleksandr, Puzanov, Sergey, Samoilenko, Aleksandr, Tchekulaev, Aleksandr, Tulupova, Valentina, Utkin, Ivan, Allorto, Nikki Leigh, Bishop, David Gray, Builu, Pierre Monji, Cairns, Carel, Dasrath, Ashish, de Wet, Jacque, den Hoedt, Marielle, Grey, Ben, Hayes, Morgan Philip, Küsel, Belinda Senta, Shangase, Nomcebo, Wise, Robert, Cacala, Sharon, Farina, Zane, Govindasamy, Vishendran, Kruse, Carl-Heinz, Lee, Carolyn, Marais, Leonard, Naidoo, Thinagrin Dhasarthun, Rajah, Chantal, Rodseth, Reitze Nil, Ryan, Lisa, von Rhaden, Richard, Adam, Suwayba, Alphonsus, Christella, Ameer, Yusuf, Anderson, Frank, Basanth, Sujith, Bechan, Sudha, Bhula, Chettan, 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, 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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, 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Johnson, R., Chai Law, K., Manikkam, B., Naidoo, S., Rumball, M., Whittle, N., Franks, R., Gibson-Lapsley, H., Salter, R., Walsh, D., Cooper, R., Perry, K., Obobolo, A., Sule, U.M., Ahmad, A., Atiku, M., Mohammed, A.D., Sarki, A.M., Adekola, O., Akanmu, O., Durodola, A., Olukoju, O., Raji, V., Olajumoke, T., Oyebamiji, E., Adenekan, A., Adetoye, A., Faponle, F., Olateju, S., Owojuyigbe, A., Talabi, A., Adenike, O., Adewale, B., Collins, N., Ezekiel, E., Fatungase, O.M., Grace, A., Sola, S., Stella, O., Ademola, A., Adeolu, A.A., Adigun, T., Akinwale, M., Fasina, O., Gbolahan, O., Idowu, O., Olonisakin, R.P., Osinaike, B.B., Asudo, F., Mshelia, D., Abdur-Rahman, L., Agodirin, O., Bello, J., Bolaji, B., Oyedepo, O.O., Ezike, H., Iloabachie, I., Okonkwo, I., Onuora, E., Onyeka, T., Ugwu, I., Umeh, F., Alagbe-Briggs, O., Dodiyi-Manuel, A., Echem, R., Obasuyi, B., Onajin-Obembe, B., Bandeira, M.E., Tomé, M., Martins Costa, ACM, Krystopchuk, A., Branco, T., Esteves, S., Melo, M.A., Monte, J., Rua, F., Martins, I., Pinho-Oliveira, V.M., Rodrigues, C.M., Cabral, R., Marques, S., Rêgo, S., Teixeira Jesus, J.S., Conceição Marques, M., Romao, C., Dias, S., Santos, A.M., Alves, M.J., Salta, C., Cruz, S., Duarte, C., Furtado Paiva, A.A., do Nascimento Cabral, T., Fariae Maia, D., Correia da Silva, RFM, Langner, A., Oliveira Resendes, H., da Conceição Soares, M., 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, M.A., Stefan, M., Stoica, R., Gavril, L., Pătrăşcanu, E., Ristescu, I., Rusu, D., Diaconescu, C., Iosep, G.F., Pulbere, D., Ursu, I., Balanescu, A., Grintescu, I., Mirea, L., Rentea, I., Vartic, M., Lupu, M.N., Stanescu, D., Streanga, L., Antal, O., Hagau, N., Patras, D., Petrisor, C., Tosa, F., Tranca, S., Copotoiu, S.M., Ungureanu, L.L., Harsan, C.R., Papurica, M., Cernea, D.D., Dragoescu, N.A., Aflori, L., Vaida, C., Ciobotaru, O.R., Aignatoaie, 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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., Coulter, S., Cruickshank, R., Daniel, S., Daubeny, T., Golder, K., Hawkins, L., Helen, B., Hinxman, H., Levett, D., Skinner, 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., 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., Banner-Goodspeed, V., Boone, M., Campbell, K., Lu, F., Scannell, J., Sobol, J., Balajonda, N., Clemmons, K., Conde, C., Funk, B., Hopkins, T., Olaleye, O., Omer, O., Pender, M., Porto, 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, L.L., Lane, R., Robinowitz, D., Ghushe, N., Irshad, M., 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., and Wildes, T.
- 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
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- 2017
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8. First experience: Open small incision rectus sheath approach renal transplant: A case series
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Stephen Phillips, Joseph B. Africa, Sharon Hill, and Lorie Lipscomb
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Adult ,Male ,medicine.medical_specialty ,Operative Time ,Surgical Wound ,Rectus Abdominis ,030232 urology & nephrology ,030230 surgery ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,medicine ,Humans ,Surgical Wound Infection ,Kidney transplantation ,Aged ,Retrospective Studies ,business.industry ,Medical record ,General Medicine ,Rectus sheath ,Perioperative ,Middle Aged ,medicine.disease ,Kidney Transplantation ,Surgery ,Transplantation ,Treatment Outcome ,medicine.anatomical_structure ,Renal transplant ,Small incision ,Drainage ,Operative time ,Female ,business - Abstract
Background Prevention of wound complications is an important goal in surgery, and reduction of modifiable risks factors are an important step towards protecting patients from further complications. Renal transplantation has sought to be more inclusive giving access to transplantation to complex patient populations, many of which have an increased risk of complications specifically obese recipients. Surgical techniques continue to advance and may contribute to reducing complications. We hypothesized that the Anterior Rectus Sheath (ARS) Approach would provide an open transplant with minimal damage and less wound complications, including fluid collections such as lymphoceles, when compared to the conventional technique (CON) with equivalent graft function and survival. Materials and methods The ARS approach was adopted at our center in November of 2012. Medical records for 44 patients that underwent kidney transplantation at our Center between May 1, 2012 and March 31, 2013 were reviewed with data collected up to August 2015. Two were excluded (2 intraperitoneal transplants), leaving 22 in the ARS group and 20 in the CON group. Results Demographics, data, and perioperative factors were found to be similar, but operative and post-operative findings indicated significant differences between the groups. Significant reductions of wound complications, including fluid collections, were observed and operative time, incision length, and drain usage were improved with the ARS technique. Secondary outcome assessing overall patient outcomes showed no significant difference. Conclusion This retrospective review case series quantified that this easily adopted modification of the conventional transplant technique is a safe, effective, and swift approach to renal transplantation with favorable graft results and improved surgical outcomes with less post-operative wound complications.
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- 2017
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9. Neck of femur fracture: who gets a total hip replacement? A review of 230 eligible patients
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Chris Marusza, Claire Topliss, Owen Richards, Ian Starks, Stephen Phillips, Ian Wilson, and Atanu Bhattacharjee
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Reoperation ,medicine.medical_specialty ,Sports medicine ,Arthroplasty, Replacement, Hip ,Total hip replacement ,Nice ,Critical Care and Intensive Care Medicine ,Logistic regression ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Orthopedics and Sports Medicine ,Femur ,computer.programming_language ,Retrospective Studies ,030222 orthopedics ,Hip fracture ,Femur fracture ,business.industry ,Hip Fractures ,030208 emergency & critical care medicine ,medicine.disease ,University hospital ,Femoral Neck Fractures ,Emergency Medicine ,Surgery ,Hemiarthroplasty ,business ,computer - Abstract
To investigate patient-specific factors that predict Total Hip Replacement (THR) in patients with fracture neck of femur (NOF), fulfilling the National Institute of Health and Care Excellence (NICE) criteria. Hip fracture database from a district general hospital and university hospital was retrospectively reviewed to identify patients fulfilling NICE criteria for THR after fracture NOF. Patient demographics, Nottingham Hip Fracture score (NHFS), complications, re-operations, revision, 30 days and one-year mortality was obtained from patient-records. Independent predictors correlating with the outcome of surgery were identified. A logistic regression analysis was used to predict the type of surgery in these patients. A total of 230 (114 WMH and 116 MH) were identified; 133 (57.8 per-cent) received hip hemiarthroplasty (HA), and 97 (42.2 per-cent) received THR. Patients receiving THR (mean 73.5 years, 95% CI 72–74.8) were significantly younger in comparison to patients receiving HA (mean 81.7 years, 95% CI 80.5–82.8). A negative correlation is noted between NHFS and type of surgery (Pearson’s correlation − 0.537, p
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- 2019
10. Infrastructure Mapping and Inspection using Mobile Ground Robotics
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Nicholas Charron, Stephen Phillips, Sriram Narasimhan, and Evan McLaughlin
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Data collection ,Computer science ,business.industry ,Deep learning ,Decision support tools ,Point cloud ,Robot ,Computer vision ,Image processing ,Robotics ,Artificial intelligence ,Simultaneous localization and mapping ,business - Abstract
This paper describes two autonomous robotic platform and the attendant decision support tools needed to identify, quantify, and localize defects on concrete surfaces. The platforms presented consist of mobile ground robots equipped with visual sensors (cameras, lidars) that collect the data required to perform simultaneous localization and mapping (SLAM), and to detect defects in images. The location and size of defects is calculated by projecting image defect masks onto the 3D map created using SLAM. Compared to existing sensor platforms, such as terrestrial laser scanners, data collection using the proposed system is extremely rapid. Defect detection and quantification is fully automated using state-of-the-art deep learning, image processing, and point cloud manipulation algorithms. Results employing this platform for surface defect characterization at a concrete structure are presented to illustrate its capabilities.
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- 2019
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11. VR/AR/MR for everyone!
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Stephen Phillips, Elvis A U, Michael McCarthy, John Canning, Samuel Conlogue, and Jordyn Curley
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Focus (computing) ,Engineering ,Independent contractor ,Emerging technologies ,business.industry ,Indie film ,Augmented reality ,Virtual reality ,business ,ComputingMilieux_MISCELLANEOUS ,Studio ,Mixed reality ,Visual arts - Abstract
The attendees at the SIGGRAPH Conference run the gambit from indie contractors to multi-million-dollar studios. After attending the conference for the past 7 years, I kept hearing the same thing from many small studios and/or individuals. They feel a lot of the emerging technology that is premiered at SIGGRAPH seems out of reach or impractical for them to utilize. Our panel works to challenge this assumption. By bringing in industry professionals from various disciplines and levels, we can show how anyone from an independent contractor to a large studio can implement new tools and technologies. Specifically, our talk will focus on encounters with AR/VR/MR and how we worked it into our pipeline. Whether someone is out there making the next big movie or trying to pitch to a client in a conference room setting, they will find attending this panel useful. We will talk about the practical applications of AR/VR/MR and how we have explored these technologies over the years.
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- 2019
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12. The impact of pre-diabetes diagnosis on behaviour change: an integrative literature review
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Stephen Phillips, Wendy Youngs, and Warren P. Gillibrand
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Gerontology ,Behaviour change ,business.industry ,Endocrinology, Diabetes and Metabolism ,Global problem ,030209 endocrinology & metabolism ,Type 2 diabetes ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,Pre diabetes ,Lifestyle change ,Intervention (counseling) ,Integrative literature review ,Internal Medicine ,medicine ,Lack of knowledge ,030212 general & internal medicine ,business - Abstract
Type 2 diabetes is a growing global problem that not only affects individuals but also has an impact upon the economic health of countries. The number of people developing type 2 diabetes can be reduced by up to by 80%; this can be achieved by targeting those who are ‘at risk’. This reduction can be achieved by appropriate lifestyle changes to diet and physical activity. It is not known what the impact of being informed of a diagnosis of pre-diabetes has on an individual’s motivation to make appropriate lifestyle changes. The aim of this study was to assess whether having the diagnosis of pre-diabetes encourages or empowers people to make appropriate lifestyle changes to prevent progression to a diagnosis of type 2 diabetes. Employing a systematic approach, an integrative literature review was undertaken using a standard retrieval and appraisal method. The studies demonstrated that pre-diabetes was found to be a challenging concept by patients and nurses alike. Lack of knowledge and support, along with patients’ perceived barriers, had an impact upon the various motivation and self-efficacy behaviours towards lifestyle changes. The integrative review found that more education and support are required to motivate lifestyle change in the person with pre-diabetes. This, however, does not need to be medicine led; use of peer and community based programmes could be not only cheaper, but also have the ability to provide potentially long-term support for people, and would provide continued reduced risk. Intervention needs to ensure that it is provided at an appropriate level to account for cultural, social and gender needs. Innovative approaches need to be considered to reduce the number of people who are diagnosed with pre-diabetes from progressing to type 2 diabetes and its associated potential complications.
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- 2016
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13. Diabetes mellitus and its impact on older people
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Anne Phillips and Stephen Phillips
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Gerontology ,business.industry ,030209 endocrinology & metabolism ,General Medicine ,Disease ,medicine.disease ,humanities ,Older population ,03 medical and health sciences ,0302 clinical medicine ,Diabetes mellitus ,Medicine ,030212 general & internal medicine ,business ,Older people - Abstract
Diabetes is becoming increasingly common among the older population, leading to a larger burden for those providing care. In this article, Anne and Stephen Phillips explain the impact that this disease has on both the individual and the sector as a whole
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- 2017
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14. Diabetes and older people: ensuring individualised practice
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Anne Phillips and Stephen Phillips
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Gerontology ,business.industry ,Blood sugar ,030209 endocrinology & metabolism ,General Medicine ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,Diabetes mellitus ,Medicine ,030212 general & internal medicine ,Meaning (existential) ,Significant risk ,business ,Older people - Abstract
Older people find it more difficult to recognise when they have low blood sugar, meaning diabetes presents a significant risk in this group. Anne and Stephen Phillips explain the importance of targeted practice for older people in the community
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- 2017
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15. Modelling Compliance Threats and Security Analysis of Cross Border Health Data Exchange
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Mike Surridge, Juri Papay, Ardavan Shafiee, J. Brian Pickering, Toby Wilkinson, Ken Meacham, Stephen Phillips, Attiogbe, C., Ferrarotti, F., and Maabout, S.
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Security analysis ,Computer science ,Group method of data handling ,business.industry ,Multitude ,020207 software engineering ,02 engineering and technology ,Digital health ,3. Good health ,Compliance (psychology) ,Risk analysis (engineering) ,Health care ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Architecture ,Risk assessment ,business - Abstract
Digital health data is created, stored and processed in healthcare IT infrastructures. These infrastructures are the target of large-scale cyber-attacks and are found to be vulnerable, primarily for two main reasons: the heterogeneity of infrastructure and the numerous stakeholders (medical staff, managers, patients, regulators etc.). Furthermore, the stakeholders have different attitudes, skills, awareness and data handling practices that offer many opportunities for malicious activities. Healthcare in general is characterised by a multitude of regulations and adherence to them is essential to the functioning of the system. Compliance management is usually described in terms of risks and involves activities such as risk identification, assessment and treatment. Our paper conceptualises the notion of a “compliance threat” and discusses the security of cross-border health data ex-change. The paper presents the architecture of the System Security Modeller and illustrates the security risk assessment of the “break glass” scenario which requires health data communication in an emergency situation.
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- 2019
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16. Case series: fibre-optic intubation via second-generation supraglottic airway for elective ENT surgery
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Michael Girgis and Stephen Phillips
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medicine.medical_specialty ,Anesthesiology and Pain Medicine ,business.industry ,medicine.medical_treatment ,medicine ,Intubation ,Critical Care and Intensive Care Medicine ,Supraglottic airway ,business ,Surgery - Published
- 2020
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17. Trust Modelling in 5G mobile networks
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Stephen Phillips, Ken Meacham, Mike Surridge, Juri Papay, Toby Wilkinson, Gianluca Correndo, and Stefanie Wiegand
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050210 logistics & transportation ,business.industry ,Computer science ,05 social sciences ,Stakeholder ,Cloud computing ,02 engineering and technology ,Virtualization ,computer.software_genre ,Telecommunications network ,Work (electrical) ,020204 information systems ,0502 economics and business ,0202 electrical engineering, electronic engineering, information engineering ,Cellular network ,business ,Telecommunications ,computer ,5G - Abstract
5G technologies will change the business landscape for mobile network operation. The use of virtualization through SDN, NFV and Cloud computing offer significant savings of CAPEX and OPEX, but they also allow new stakeholders to rent infrastructure capacity and operate mobile networks, including specialized networks supporting so-called vertical applications serving specific business sectors. In the resulting diverse stakeholder communities, the old trust assumptions between network operators will no longer apply. There is a pressing need for a far broader understanding of trust in such networks if they are to operate safely and securely for the engaged stakeholder communities. This paper describes work carried out in the 5G-ENSURE project to address this need. The starting point is the recognition that trust is a response to risk, and in a mobile network trust assumptions have to be made regarding the contributions made by each stakeholder to manage risks to themselves and to other stakeholders. To analyse trust therefore requires a consistent and reproducible catalogue of threats that pose risks to the network, and this was produced using Trust Builder, an automated threat modelling tool developed in the project. Trust Builder extends earlier work on automated threat identification to support the extraction of stakeholder dependencies and enumeration of their responsibilities to each other. This paper describes application of this tool to a simplified 5G network architecture which illustrates the main findings from work done in the project analyzing 31 use case scenarios devised by 5G-ENSURE project partners. These include key changes in trust assumptions between 5G and previous generation mobile networks, and the need for more security measures at critical points in the network.
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- 2018
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18. De-noising of Lidar Point Clouds Corrupted by Snowfall
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Steven L. Waslander, Stephen Phillips, and Nicholas Charron
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business.industry ,Noise reduction ,010401 analytical chemistry ,Point cloud ,Filter (signal processing) ,Snow ,01 natural sciences ,GeneralLiterature_MISCELLANEOUS ,0104 chemical sciences ,010309 optics ,Lidar ,0103 physical sciences ,Environmental science ,Anomaly detection ,Noise (video) ,Artificial intelligence ,business ,Rain and snow mixed ,Remote sensing - Abstract
A common problem in autonomous driving is designing a system that can operate in adverse weather conditions. Falling rain and snow tends to corrupt sensor measurements, particularly for lidar sensors. Surprisingly, very little research has been published on methods to de-noise point clouds which are collected by lidar in rainy or snowy weather conditions. In this paper, we present a method for removing snow noise by processing point clouds using a 3D outlier detection algorithm. Our method, the dynamic radius outlier removal filter, accounts for the variation in point cloud density with increasing distance from the sensor, with the goal of removing the noise caused by snow while retaining detail in environmental features (which is necessary for autonomous localization and navigation). The proposed method outperforms other noise-removal methods, including methods which operate on depth image representations of the lidar scans. We show on point clouds obtained while driving in falling snow that we can simultaneously obtain > 90% precision and recall, indicating that the proposed method is effective at removing snow, without removing environmental features.
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- 2018
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19. The surgical safety checklist and patient outcomes after surgery
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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 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Luz Serrano, Eduardo Alonso, Victor Anillo, Emilio Maseda, Patricia Salgado, Luis Suarez, Alejandro Suarez-de-la-Rica, María José Villagrán, José Ignacio Alonso, Estefania Cabezuelo, Irene Garcia-Saiz, Olga Lopez del Moral, Silvia Martín, Alba Perez Gonzalez, Ma Sherezade Tovar Doncel, Martin Agüero Vera, Francisco José Ávila Sánchez, Beatriz Castaño, Beatriz Castaño Moreira, Sahely Flores Risco, Daniel Paz Martín, Fernando Pérez Martín, Paloma Poza, Adela Ruiz, Wilson Fabio Serna Martínez, Bárbara Vázquez Vicente, Saul Velaz Dominguez, Salvador Fernández, Alfonso Munoz-López, Maria Jose Bernat, Arantxa Mas, Kenneth Planas, Monir Jawad, Yousif Saeed, Annika Hedin, Helena Levander, Sandra Holmström, David Lönn, Frank Zoerner, Irene Åkring, Carl Widmark, Jan Zettergren, Victor Aspelund Liljequist, Lena Nystrom, Suzanne Odeberg-Wernerman, Anders Oldner, Malin Jonsson Fagerlund, Patrik Reje, Sara Lyckner, Jesper Sperber, Anne Adolfsson, Bengt Klarin, Katrin Ögren, Jean-Pierre Barras, Thomas Bührer, Vasileios Despotidis, Naeder Helmy, Stephan Holliger, Dimitri Aristotle Raptis, Roger Schmid, Antoine Meyer, Yves Jaquet, Ulf Kessler, Mirza Muradbegovic, Solange R. Nahum, Teresa Rotunno, Boris Schiltz, François Voruz, Marc Worreth, Dimitri Christoforidis, Sotirios Georgios Popeskou, Markus Furrer, Gian Andrea Prevost, Andrea Stocker, Klaus Lang, Stefan Breitenstein, Michael T. Ganter, Martin Geisen, Christopher Soll, Michelle Korkmaz, Iris Lubach, Michael Schmitz, Moritz Meyer zu Schwabedissen, Meyer zu Schwabedissen Moritz, Urs Zingg, Thomas Hillermann, Stefan Wildi, Bernardo Bollen Pinto, Bernhard Walder, Giustina Mariotti, Ksenija Slankamenac, Mirioce Namuyuga, Edward Kyomugisha, Olivia Kituuka, Anne Wesonga Shikanda, Nasser Kakembo, Charles Otim Tom, Webombesa Antonina, Emmanuel Bua, Eden Michael Ssettabi, Joseph Epodoi, Fiona Kabagenyi, Fred Kirya, Ged Dempsey, Colette Seasman, Raja Basit Nawaz Khan, Claire Kurasz, Mark Macgregor, Burhan Shawki, Daren Francis, Vimal Hariharan, Simon Chau, Kate Ellis, Georgina Butt, Dennis-Wayne Chicken, Natasha Christmas, Samantha Allen, Gayatri Daniel Daniel, Angie Dempster, Juliette Kemp, Lewis Matthews, Philip Mcglone, Joanne Tambellini, Dawn Trodd, Katie Freitas, Atul Garg, Janesh Kumar Gupta, Shilpaja Karpate, Aditi Kulkarni, Chloe O'Hara, Jtroko Troko, Kirsty Angus, Jacqueline Bradley, Emma Brennan, Carolyn Brooks, Janette Brown, Gemma Brown, Amanda Finch, Karen Gratrix, Sue Hesketh, Gillian Hill, Carol Jeffs, Maureen Morgan, Chris Pemberton, Nicola Slawson, Helen Spickett, Gemma Swarbrick, Megan Thomas, Greta Van Duyvenvoorde, Andrew Brennan, Richard Briscoe, Sarah Cooper, Tom Lawton, Martin Northey, Rashmi Senaratne, Helen Stanworth, Lorna Burrows, Helen Cain, Rachael Craven, Keith Davies, Attila Jonas, Marcin Pachucki, Graham Walkden, Helen Davies, Mariethel Gudaca, Maria Hobrok, Dilshan Arawwawala, Lauren Fergey, Matthew Gardiner, Jacqueline Gunn, Lyndsay Johnson, Amanda Lofting, Amanda Lyle, Fiona Mc Neela, Susan Smolen, Joanne Topliffe, Sarah Williams, Martin Bland, Packianathaswamy Balaji, Vikas Kaura, Prasad Lanka, Neil Smith, Ahmed Ahmed, John Myatt, Ravikiran Shenoy, Wai Cheong Soon, Jessica Tan, Sunny Karadia, James Self, Emma Durant, Shiva Tripathi, Clare Bullock, Debbie Campbell, Alison Ghosh, Thomas Hughes, Lajos Zsisku, Sheshagiri Bengeri, Amanda Cowton, Mohammed Shazad Khalid, James Limb, Colin McAdam, Mandy Porritt, M. Amir Rafi, Priya Shekar, David Adams, Catherine Harden, Heidi Hollands, Angela King, Linda March, Gary Minto, Abigail Patrick, Rosalyn Squire, Darren Waugh, Paramesh Kumara, Karen Simeson, Jamie Yarwood, Julie Browning, Jonathan Hatton, Howes Julian, Atideb Mitra, Maria Newton, Pawan Kootelu Pernu, Alison Wilson, Thelma Commey, Helen Foot, Lyn Glover, Ajay Gupta, Nicola Lancaster, Jill Levin, Felicity Mackenzie, Claire Mestanza, Emma Nofal, Lauren Pout, Rosanna Varden, Jonathan Wild, Stephanie Jones, Sarah Moreton, Mark Pulletz, Charlotte Davies, Matthew Martin, Sian Thomas, Karen Burns, Carol McArthur, Panna Patel, Gary Lau, Natalie Rich, Fiona Davis, Rachel Lyons, Beth Port, Rachel Prout, Christopher Smith, Yemi Adelaja, Victoria Bennett, Heena Bidd, Alexandra Dumitrescu, Jacqui Fox Murphy, Abigail Keen, Nhlanhla Mguni, Cheng Ong, George Adams, Piers Boshier, Richard Brown, Izabella Butryn, Jayanta Chatterjee, Alexander Freethy, Geoffrey Lockwood, Maria Tsakok, Sophia Tsiligiannis, William Peat, Lorraine Stephenson, Mike Bradburn, Sara Pick, Pedro Cunha, Olufemi Olagbaiye, Salim Tayeh, Balaji Packianathaswamy, Caroline Abernethy, Madhu Balasubramaniam, Rachael Bennett, David Bolton, Victoria Martinson, Charde Naylor, Stephanie Bell, Blaylock Heather, Vlad Kushakovsky, Liam Alcock, Hazel Alexander, Colette Anderson, Paul Baker, Morag Brookes, Louise Cawthorn, Emanuel Cirstea, Rachel Clarkson, Kerry Colling, Ian Coulter, Suparna Das, Kathryn Haigh, Alhafidz Hamdan, Keith Hugill, Lucksy Kottam, Emily Lisseter, Matthew Mawdsley, Julie McGivern, Krishnaveni Padala, Victoria Phelps, Vineshykaa Ramesh kumar, Kirsten Stewart, Kayley Towse, Julie Tregonning, Ali Vahedi, Alycon Walker, Duncan Baines, Anjali Bilolikar, Shiv Chande, Edward Copley, Nigel Dunk, Raghavendra Kulkarni, Pawan Kumar, Yavor Metodiev, Dumisani Ncomanzi, Bhavesh Raithatha, Parizade Raymode, Jan Szafranski, Linda Twohey, Philip Watt, Lucie Weatherall, J. Weatherill, Zoe Whitman, Elinor Wighton, Chamika Abayasinghe, Alexander Chan, Sharif Darwish, James Gill, Emma Glasgow, Daniel Hadfield, Clair Harris, Phil Hopkins, Arun Kochhar, Gudrun Kunst, Clare Mellis, Andrew Pool, Paul Riozzi, Andrew Selman, Emma-Jane Smith, Liana Vele, Yuksel Gercek, Kramer Guy, Douglas Holden, Nicholas Watson, Karen Whysall, Prematie Andreou, Dawn Hales, Jonathan Thompson, Sarah Bowrey, Shara McDonald, Jemma Gilmore, Vicky Hills, Chan Kelly, Sinead Kelly, Geraint Lloyd, Tom Abbott, Lewis Gall, Hew Torrance, Mark Vivian, Emer Berntsen, Tracey Nolan, Angus Turner, Akbar Vohra, Andrew Brown, Richard Clark, Elaine Coughlan, Conway Daniel, Chinmay Patvardhan, Rachel Pearson, Sheba Predeep, Hesham Saad, Mohanakrishnan Shanmugam, Simon Varley, Katharine Wylie, Lucy Cooper, Arystarch Makowski, Beata Misztal, Eliza Moldovan, Claire Pegg, Andrew Donovan, Jayne Foot, Simon Large, Andrew Claxton, Bhagyashree Netke, Richard Armstrong, Claire Calderwood, Andy Kwok, Otto 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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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Eskildsen, K.Z., Gätke, M.R., Wibrandt, I., Heintzelmann, S.B., Wiborg Lange, K.H., Lundsgaard, R.S., Amstrup-Hansen, L., Hovendal, C., Larsen, M., Lenstrup, M., Kobborg, T., Larsen, J.R., Pedersen, A.B., Smith, S.H., Oestervig, R.M., Afshari, A., Andersen, C., Ekelund, K., Secher, E.L., Beloeil, H., Lasocki, S., Ouattara, A., Sineus, M., Molliex, S., Legouge, M.L., Wallet, F., Tesniere, A., Gaudin, C., Lehur, P., Forsans, E., de Rudnicki, S., Maudet, V.S., Mutter, D., Sojod, G., Ouaissi, M., Regimbeau, J.M., Desbordes, J., Comptaer, N., Manser, D.E., 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, F.P., Reichle, F., Schirmer, F., Hüppe, M., Klotz, K., Nau, C., Schön, J., Mencke, T., Wasmund, C., 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Stafylaraki, M., Gaitanakis, S., Karydakis, P., Paltoglou, J., Ponireas, P., Chaloulis, P., Provatidis, A., Sousana, A., Gardikou, V.V., 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, C.A., 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, K.P., Kapaktsi, C., Koulouras, V., Lena, A., Lepida, D., Michos, E., Papadopoulos, D., Paschopoulos, M., Rompou, V.A., Siouti, I., Tsampalas, S., Ververidou, O., Zilis, G., Charlalampidoy, A., Christodoulidis, G., Flossos, A., Stamoulis, K., Tsang, MSC, Tsang, M.S., Lai, M.L., Yip, C.P., Heymans Chan, H.M., Law, B., Li, W.S., Chu, H.M., Koo, EGY, Lam, CCJ, Cheng, K.H., Lam, T., Chu, S., Lam, W.Y., Wong, KWK, Kwok, D., Hung, CYJ, Chan, WKJ, Wong, W.L., Chung, CKE, Ma, S.K., 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, U.N., Dursin, A.N., Kurnia, A., Susanti, A., Handayani, D., Alit, M.A., Arya, A., Senapathi, TGA, Utara, U.H., Wid, W.M., Wima, S., Wir, W.M., Jehosua, B., Kaunang, J., Lantang, E.Y., Najoan, R., Waworuntu, N., Awad, H., Fuad, A., Geddoa, B., Khalaf, A.R., Al Hussaini, S., Albaj, S., Kenber, M., Bettinelli, A., Spadaro, S., AlbertoVolta, C., Giancarlo, L., Sottosanti, V., Copetti, E., Spagnesi, L., Toretti, 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Swift, D., Walker, R., Bester, D., Cavanagh, S., Cripps, H., Daniel, H., Lynch, J., Pyke, S., Scholefield, J., Whitworth, H., Bottrill, F., Ramalingam, G., Webb, S., Akerman, N., Antill, P., Bourner, L., Buckley, S., Castle, G., Charles, R., Eggleston, C., Foster, R., Gill, S., Lindley, K., Lklouk, M., Lowery, T., Martin, O., Milne, D., O'Connor, P., Ratcliffe, A., Rose, A., Smith, A., Varma, S., Ward, J., Barcraft-Barnes, H., Camsooksai, J., Colvin, C., Reschreiter, H., Tbaily, L., Venner, N., Hamilton, C., Kelly, L., Toth-Tarsoly, P., Dodsworth, K., Foord, D., Gordon, P., Hawes, E., Lamb, N., Mouland, J., Nightingale, J., Rose, S., Schrieber, J., Al'Amri, K., Aladin, H., Arshad, M.A., Barraclough, J., Bentley, C., Bergin, C., Carrera, R., Clarkson, A., Collins, M., Denham, S., Griffiths, E., Ip, P., Jeyanthan, S., Joory, K., Kaur, S., Marriott, P., Mitchell, N., Nagaiah, S., Nilsson, A., Parekh, N., Pope, M., Seager, J., Serag, H., Tameem, A., Thomas, A., Thunder, J., Torrance, A., Vohra, R., Whitehouse, A., Wong, T., Blunt, M., Wong, K., Giles, J., Reed, I., Weller, D., Bell, G., Birch, J., Damant, R., Maiden, J., Mewies, C., Prince, C., Radford, J., Reynolds, T., Balain, B., Banerjee, R., Barnett, A., Burston, B., Edwards, J., Evans, C., Ford, D., Gallacher, P., Hill, S., Jaffray, D., Karlakki, S., Kennedy, J., Kiely, N., Lewthwaite, S., Marquis, C., Ockendon, M., Phillips, S., Pickard, S., Richardson, J., Roach, R., Smith, T., Spencer-Jones, R., Steele, N., Steen, J., Van Liefland, M., White, S., Faulds, M., Harris, M., Nicol, S., Pearson, S.A., Chukkambotla, S., Andrew, A., Attrill, E., Campbell, G., Datson, A., Fouracres, A., Graterol, J., Graves, L., Hong, B., Ishimaru, A., Karthikeyan, A., King, H., Lawson, T., Lee, G., Lyons, S., Hall, A.M., Mathoulin, S., Mcintyre, E., Mclaughlin, D., Mulcahy, K., Paddle, J., Robbins, J., Sung, W., Tayo, A., Trembath, L., Venugopal, S., Wigmore, G., Boereboom, C., Downes, C., Humphries, R., Melbourne, S., Tou, S., Ullah, S., Batchelor, N., Boxall, L., Broomby, R., Deen, T., Hellewell, A., Helliwell, L., Hutchings, M., Hutchins, D., Keenan, S., Mackie, D., Potter, A., Smith, F., Stone, L., Thorpe, K., Wassall, R., Woodgate, A., Baillie, S., Campbell, T., James, S., King, C., Marques de Araujo, D., Martin, D., Morkane, C., Neely, J., Rajendram, R., Burton, M., James, K., Keevil, E., Minik, O., Morgan, J., Musgrave, A., Rajanna, H., Roberts, T., Adamson, M., Jumbe, S., Kendall, J., Muthuswamy, M.B., Cruikshanks, A., Wrench, I., Zeidan, L., Ardern, D., Harris, B., Hellstrom, J., Martin, J., Thomas, R., Varsani, N., Brown, C.W., Docherty, P., Gillies, M., McGregor, E., Usher, H., Craig, J., Ahmad, T., Bodger, P., Creary, T., Fowler, A., Ijuo, E., Jones, T., Kantsedikas, I., Lahiri, S., McLean, A.L., Niebrzegowska, E., Phull, M., Wickboldt, N., Baldwin, J., Doyle, D., Mcmullan, S., Oladapo, M., Owen, T., Williams, A., Gregory, P., Husain, T., Kirk-Bayley, J., Mathers, E., Montague, L., Harper, M., 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., 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., 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, M.O., Khader, A., Krishnachetty, B., Rhodes, K., Sokhi, J., Baker, K.A., 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., Andrews, E., Arrandale, L., Barrett, S., Cifra, E., Cooper, M., Dragnea, D., Elna, C., Maclean, J., Meier, S., Milliken, D., Munns, C., Ratanshi, N., Ramessur, S., Salvana, A., Watson, A., Ali, H., Critchley, R., Endersby, S., Hicks, C., Liddle, A., Pass, M., Ritchie, C., Thomas, C., Too, L., Welsh, S., Gill, T., Johnson, J., Reed, J., Davis, E., Papadopoullos, S., Attwood, C., Biffen, A., Boulton, K., Gray, S., Hay, D., Mills, S., Montgomery, J., Riddell, R., Simpson, J., Bhardwaj, N., Paul, E., Uwubamwen, N., Alexander, M., Arrich, J., Arumugam, S., Blackwood, D., Boggiano, V., Chan, Y.L., Chatterjee, D., Chhabra, A., Christian, R., Costelloe, H., Matthewman, M.C., Dalton, E., Darko, J., Davari, M., Dave, T., Deacon, M., Deepak, S., Edmond, H., Ellis, J., El-Sayed, A., Eneje, P., English, R., Ewe, R., Foers, W., Franklin, J., Gallego, L., Garrett, E., Goldberg, O., Goss, H., Greaves, R., Harris, R., Hennings, C., Jones, E., Kamali, N., Kokkinos, N., Lewis, C., Lignos, L., Malgapo, E.V., Malik, R., Milne, A., Mulligan, J.P., Nicklin, P., Palipane, N., Parsons, T., Piper, R., Prakash, R., Ramesh, B., Rasip, S., Reading, J., Rela, M., Reyes, A., Stephens, R., Rooms, M., Shah, K., Simons, H., Solanki, S., Spowart, E., Stevens, A., 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., 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., Banner-Goodspeed, V., Boone, M., Campbell, K., Lu, F., Scannell, J., Sobol, J., Balajonda, N., Clemmons, K., Conde, C., Elgasim, M., Funk, B., Hopkins, T., Olaleye, O., Omer, O., Pender, M., Porto, 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, L.L., Lane, R., Robinowitz, D., Ghushe, N., Irshad, M., O'Connor, J., Patel, S., Takemoto, S., Wallace, A., Mazzeffi, M., Rock, P., Wallace, K., Chua, P., Mattera, M., Sharar, R., Thilen, S., Treggiari, M., Morgan, A., Sofjan, I., Subramaniam, K., Avidan, M., Maybrier, H., Muench, M., and Wildes, T.
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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.
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- 2018
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20. Pyroglutamate and Isoaspartate modified Amyloid-Beta in ageing and Alzheimer's disease
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James A. R. Nicoll, Amritpal Mudher, Delphine Boche, Katie Gaimster, Christian Paul, Andrew Stephen Phillips, and Maria Luisa Moro
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0301 basic medicine ,Male ,Aging ,Neurology ,Neocortex ,Disease ,lcsh:RC346-429 ,Isoaspartate ,Pathogenesis ,0302 clinical medicine ,Aged, 80 and over ,Isoaspartic Acid ,IsoAspartate ,biology ,Brain ,Middle Aged ,3. Good health ,Pyrrolidonecarboxylic Acid ,Female ,Amyloid-beta ,Alzheimer’s disease ,Adult ,medicine.medical_specialty ,Amyloid beta ,Pyroglutamate ,Statistics, Nonparametric ,Pathology and Forensic Medicine ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Young Adult ,Blood vessel walls ,Alzheimer Disease ,Internal medicine ,medicine ,Dementia ,Humans ,lcsh:Neurology. Diseases of the nervous system ,Aged ,Amyloid beta-Peptides ,business.industry ,Research ,medicine.disease ,Ageing ,030104 developmental biology ,Endocrinology ,biology.protein ,Neurology (clinical) ,business ,Protein Processing, Post-Translational ,030217 neurology & neurosurgery - Abstract
Alzheimer’s disease (AD) is the most common cause of dementia among older adults. Accumulation of amyloid-β (Aβ) in the brain is considered central in AD pathogenesis and its understanding crucial for developing new diagnostic and therapeutic approaches. Recent literature suggests that ageing may induce post translational modifications in Aβ, in the form of spontaneous amino acid modifications, which enhance its pathogenic properties, contributing to its aggregation. In this study, we have investigated whether the isoaspartate (IsoD-Aβ) and pyroglutamate (pE3-Aβ) modified forms of Aβ are significantly associated with AD pathology or represent markers of ageing. Cerebral neocortex of 27 AD cases, 32 old controls (OC) and 11 young controls (YC) was immunostained for pE3-Aβ and IsoD-Aβ, quantified as protein load and correlated with other Aβ forms and p-TAU. IsoD-Aβ and pE3-Aβ were detected at low levels in non-demented controls, and significantly increased in AD (p ≤ 0.001), with a characteristic deposition of IsoD-Aβ in blood vessel walls and pE3-Aβ within neurons. Both AD and OC showed positive associations between IsoD-Aβ and Aβ (p = 0.003 in AD and p = 0.001 in OC) and between IsoD-Aβ and pE3-Aβ (p = 0.001 in AD and OC). This last association was the only significant pE3-Aβ correlation identified in AD, whereas in the control cohorts pE3-Aβ also correlated with Aβ and AβPP (p = 0.001 in OC and p = 0.010 in YC). Our analyses suggest that IsoD-Aβ accumulation starts with ageing; whereas pE3-Aβ deposition is more closely linked to AD. Our findings support the importance of age-related modifications of Aβ in AD pathogenesis. Electronic supplementary material The online version of this article (10.1186/s40478-017-0505-x) contains supplementary material, which is available to authorized users.
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- 2017
21. A Randomized, Placebo-controlled Trial of Preemptive Antifungal Therapy for the Prevention of Invasive Candidiasis Following Gastrointestinal Surgery for Intra-abdominal Infections
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Juan Carlos Valía, Tamas Dinya, Andreas Karas, George Dimopoulos, Ilhan Ozgunes, Bruno François, Jean Louis Vincent, Philippe Eggimann, Lorraine Tweddle, Wolfgang Knitsch, Stefan Utzolino, Oliver A. Cornely, Stephen Phillips, Cristóbal León, M Brown, and Philippe Montravers
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Microbiology (medical) ,Adult ,Male ,medicine.medical_specialty ,Antifungal Agents ,beta-Glucans ,Adolescent ,Perforation (oil well) ,Placebo-controlled study ,Placebo ,law.invention ,Echinocandins ,Lipopeptides ,Young Adult ,Postoperative Complications ,Double-Blind Method ,Preemptive antifungal therapy ,law ,Intensive care ,medicine ,Humans ,gastrointestinal surgery ,Candidiasis, Invasive ,Articles and Commentaries ,Aged ,intensive care ,business.industry ,Abdominal Infection ,micafungin ,Micafungin ,Middle Aged ,invasive candidiasis ,medicine.disease ,Intensive care unit ,Surgery ,Intensive Care Units ,Infectious Diseases ,Acute pancreatitis ,Intraabdominal Infections ,Female ,Pre-Exposure Prophylaxis ,Proteoglycans ,business ,Biomarkers ,medicine.drug - Abstract
Patients undergoing emergency gastrointestinal surgery for intra-abdominal infection are at high risk for invasive candidiasis. This exploratory clinical trial could not provide evidence that a preemptive antifungal treatment strategy was effective in this patient group., Background. Patients undergoing emergency gastrointestinal surgery for intra-abdominal infection are at risk of invasive candidiasis (IC) and candidates for preemptive antifungal therapy. Methods. This exploratory, randomized, double-blind, placebo-controlled trial assessed a preemptive antifungal approach with micafungin (100 mg/d) in intensive care unit patients requiring surgery for intra-abdominal infection. Coprimary efficacy variables were the incidence of IC and the time from baseline to first IC in the full analysis set; an independent data review board confirmed IC. An exploratory biomarker analysis was performed using logistic regression. Results. The full analysis set comprised 124 placebo- and 117 micafungin-treated patients. The incidence of IC was 8.9% for placebo and 11.1% for micafungin (difference, 2.24%; [95% confidence interval, −5.52 to 10.20]). There was no difference between the arms in median time to IC. The estimated odds ratio showed that patients with a positive (1,3)-β-d-glucan (ßDG) result were 3.66 (95% confidence interval, 1.01–13.29) times more likely to have confirmed IC than those with a negative result. Conclusions. This study was unable to provide evidence that preemptive administration of an echinocandin was effective in preventing IC in high-risk surgical intensive care unit patients with intra-abdominal infections. This may have been because the drug was administered too late to prevent IC coupled with an overall low number of IC events. It does provide some support for using ßDG to identify patients at high risk of IC. Clinical Trials Registration. NCT01122368.
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- 2017
22. A Practical approach for calibration of harmonics and flicker test systems
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Stephen Phillips and Chris Zombolas
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Engineering ,IEC 61000-3-2 ,F-test ,business.industry ,Suite ,Harmonics ,Flicker ,Calibration ,Electronic engineering ,business ,Test (assessment) ,Accreditation ,Reliability engineering - Abstract
Harmonics and Flicker (H&F) measurements are an important part of the EMC suite of tests required for CE marking and by Energy regulators. It is expected that manufacturers of H&F test equipment meet the (ill-defined) requirements of the standards. Ongoing accredited calibration of equipment is problematic for test laboratories. Compliance is often claimed by only calibrating part of a system. Examples of calibrations and inter-lab tests are given in this paper to highlight the issues. Two recently released technical reports (IEC TR61000-4-37 & TR61000-4-38) provide recommended methods for the verification of complete H&F test systems. Using these methods, laboratories will find it easier to comply with ISO 17025 accreditation requirements
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- 2017
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23. PD66-06 RANDOMIZED, CONTROLLED, DOUBLE BLINDED, PROSPECTIVE EVALUATION OF RENAL FUNCTION FOLLOWING MANNITOL ADMINISTRATION DURING MINIMALLY INVASIVE ROBOTIC-ASSISTED LAPAROSCOPIC PARTIAL NEPHRECTOMY
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Sharon Hill, Deem Samuel, Kellen Choi, and Stephen Phillips
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medicine.medical_specialty ,Robotic assisted ,Double blinded ,business.industry ,Urology ,medicine.medical_treatment ,030232 urology & nephrology ,Renal function ,Nephrectomy ,Prospective evaluation ,Surgery ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Anesthesia ,medicine ,Mannitol ,business ,medicine.drug - Published
- 2017
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24. The Future of Market Research
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Stephen Phillips
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Market research ,business.industry ,Market analysis ,General Earth and Planetary Sciences ,business ,Industrial organization ,General Environmental Science - Published
- 2014
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25. Diabetes in older people: making the right nutritional choices
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Stephen Phillips and Anne Phillips
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Gerontology ,Malnutrition ,endocrine system diseases ,Residential care ,business.industry ,Diabetes mellitus ,medicine ,nutritional and metabolic diseases ,General Medicine ,medicine.disease ,business ,Older people ,humanities - Abstract
With an increase in people living in residential care, Anne and Stephen Phillips investigate the need for an awareness of good nutrition and consider the effects of dehydration, malnutrition, hyperglycaemia and hypoglycaemia on residents with diabetes
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- 2014
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26. Safeguarding adults with diabetes: identifying triggers of abuse
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Anne Phillips and Stephen Phillips
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Gerontology ,medicine.medical_specialty ,Patient safety ,Vulnerable adult ,business.industry ,Diabetes mellitus ,medicine ,Safeguarding ,Psychiatry ,business ,medicine.disease ,General Nursing - Abstract
There are many categories of abuse for vulnerable adults that are recognized within care. Stephen Phillips and Anne Phillips discuss diabetes-related factors that need special consideration when assessing patients at risk of abuse
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- 2014
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27. Automated Bridge Inspection Using Mobile Ground Robotics
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Steven L. Waslander, Kevin Goorts, Nicholas Charron, Evan McLaughlin, Sriram Narasimhan, and Stephen Phillips
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business.industry ,Computer science ,Mechanical Engineering ,0211 other engineering and technologies ,Robotics ,02 engineering and technology ,Building and Construction ,Structural engineering ,Automation ,Bridge inspection ,Visual inspection ,Mechanics of Materials ,021105 building & construction ,0202 electrical engineering, electronic engineering, information engineering ,Systems engineering ,020201 artificial intelligence & image processing ,General Materials Science ,Artificial intelligence ,business ,Civil and Structural Engineering - Abstract
The use of mobile ground and aerial robotics presents a powerful means to augment current visual inspection practice by overcoming some common weaknesses related to accessibility, repeatabi...
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- 2019
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28. The abuse of adults: identifying warning signs
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Stephen Phillips
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medicine.medical_specialty ,Vulnerable adult ,Nursing ,Warning signs ,business.industry ,Medicine ,Safeguarding ,business ,Psychiatry ,General Nursing - Abstract
Stephen Phillips explores the concept of adult safeguarding and discusses how practice nurses can report such cases through legal, professional and ethical frameworks in the UK
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- 2013
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29. Altering the Approach: Open Minimally Invasive Renal Transplant in Obese Patients Through the Anterior Rectus Sheath
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Joseph B. Africa, Stephen Phillips, Sharon Hill, and Lorie Lipscomb
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Male ,medicine.medical_specialty ,Urology ,Population ,Operative Time ,030232 urology & nephrology ,Rectus Abdominis ,Renal function ,030230 surgery ,03 medical and health sciences ,0302 clinical medicine ,Postoperative Complications ,Anterior rectus sheath ,medicine ,Humans ,Minimally Invasive Surgical Procedures ,Renal Insufficiency, Chronic ,education ,Kidney transplantation ,Retrospective Studies ,education.field_of_study ,business.industry ,Graft Survival ,Retrospective cohort study ,Perioperative ,Middle Aged ,medicine.disease ,Kidney Transplantation ,Surgery ,Obesity, Morbid ,Treatment Outcome ,Renal transplant ,Female ,business ,Body mass index - Abstract
Objective To retrospectively analyze the wound issues for obese renal transplant patients, as well as post-transplant outcomes including graft and patient survival, hypothesizing improvement over the standard approach. As the obese population has expanded, minimally invasive renal transplant techniques have attempted to improve the issues of complications related to wounds and hernias. The anterior rectus sheath approach, which facilitates a minimal incision, has been adopted at our center for all renal transplants, including obese patients. Methods Between January 1, 2011 and December 31, 2014, 166 renal transplants were performed at the Charleston Area Medical Center with the new approach adopted in November 2012. Of the extraperitoneal transplants, 71 adult patients were classified as morbid/severe (≥35) or obese (30-34.9) by body mass index. Demographics, perioperative results, and outcomes were retrospectively collected for the conventional (CON) and anterior rectus sheath (ARS) approaches until August 21, 2015. Results The ARS and CON groups comprised 40 of 71 (56%) and 31 of 71 (44%) patients, respectively. The majority of demographics and perioperative data indicated no significant statistical differences between procedures (P
- Published
- 2016
30. Including Housing-Casing Fluid in a Lateral Rotordynamics Analysis on Electric Submersible Pumps
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Clay S. Norrbin, Stephen Phillips, and Dara W. Childs
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Engineering ,020303 mechanical engineering & transports ,0203 mechanical engineering ,business.industry ,Mechanical engineering ,02 engineering and technology ,Rotordynamics ,business ,Casing ,Marine engineering - Abstract
Stability and synchronous-response predictions, which were presented in the paper “A Lateral Rotordynamics Primer on Electric Submersible Pumps (ESPs) for Deep Subsea Applications” [1], are reevaluated to include the effect of the fluid between the pump housing and well casing. Conclusions are made based on these new findings. The same two-line rotor-housing model is used to model the pump’s rotor and its housing. The model dimensions are based on direct measurements of an ESP. The pump rotor and pump housing are only connected together at each stage by reaction forces and moments from seals and bushings. The rotor model is pinned to the housing at the rotor’s ends. The housing model is pinned to ground at its ends. Synchronous response predictions are presented for: (1) relative rotor-housing motion, and (2) housing velocity-response amplitudes. When handling viscosity of water, the rotor-housing model is predicted to be stable at new (centered) 1X clearances but rapidly becomes unstable with enlarged clearances (2X, 3X), primarily due to rapidly dropping rotor-housing natural frequencies. The impact of introducing effective swirl brakes for the stages’ wear ring seals was investigated for a pump running at 3600 rpm. Their predicted impact on stability and synchronous response were: (1) Onset speeds of instabilities (OSIs) were elevated well above running speed, and (2) Synchronous response amplitudes were reduced modestly. Housing-response amplitudes varied considerably with the choice of housing-termination locations. For a pump rotor length of Lr, varying the lengths of a centered housing over 1.5Lr, 2Lr, and 3Lr changes the housing’s natural frequency. This natural frequency can coincide with the running speed with proper termination conditions. If the running speed coincided large housing vibration amplitudes associated with resonance would exceed most vibration regulations; however, relative rotor-stator-response amplitudes were a small fraction of clearances for all cases. When handling emulsions at markedly higher viscosities, with a pump speed of 3600 rpm and new centered clearances, the predicted OSI was below 300 rpm. The OSI rapidly increased as the seals were displaced eccentrically, quickly elevating the 1st rotor-stator natural frequency above 1800 rpm and the OSI above 3600 rpm. With the model stabilized at 0.2 eccentricity, the synchronous relative rotor-housing amplitudes were a small fraction of seal clearances. Swirl brakes were not predicted to be effective in elevating pump OSIs for high viscosity fluids with new clearances; however, they became effective as clearances were increased. An ESP housing can contact the well casing in many possible scenarios (axial locations, contact-area length or girth, etc.). A mid-span, point radial contact was examined and modeled as a stiff-spring connection from the housing to ground. For both water and oil-water emulsions, a stiff housing-to-casing contact produced major elliptical housing motion (versus circular motion without contact). However, it had a comparably minor impact on relative rotor-housing response amplitudes or rotordynamic stability.
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- 2016
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31. A Water Lubricated Hybrid Thrust Bearing: Measurements and Predictions of Static Load Performance
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Luis San Andrés, Stephen Phillips, and Dara W. Childs
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Stress (mechanics) ,Engineering ,Impeller ,Thrust bearing ,business.industry ,law ,Turbomachinery ,Thrust ,Structural engineering ,business ,law.invention ,Turbocharger - Abstract
Process fluid lubricated thrust bearings (TBs) in a turbomachine control rotor placement due to axial loads arising from pressure fields on the front shroud and back surface of impellers. To date, prediction of aerodynamic induced thrust loads is still largely empirical. Thus needs persist to design and operate proven thrust bearings and to validate predictions of performance derived from often too restrictive computational tools. This paper describes a test rig for measurement of the load performance of water lubricated hydrostatic/hydrodynamic thrust bearings operating under conditions typical of cryogenic turbo pumps. The test rig comprises of a rigid rotor composed of a thick shaft and two end collars. A pair of flexure-pivot hydrostatic journal bearings (38 mm in diameter) support the rotor and quill shaft connected to a drive motor. The test rig hosts two thrust bearings (8 pockets with inner diameter equal to 41 mm and outer diameter equal to 76 mm); one is a test bearing and the other is a slave bearing, both facing the outer side of the thrust collars on the rotor. The slave TB is affixed rigidly to a bearing support. A load system delivers an axial load to the test TB through a non-rotating shaft floating on two aerostatic radial bearings. The test TB displaces to impose a load on the rotor thrust collar and the slave TB reacts to the applied axial load. The paper presents measurements of the TB operating axial clearance, flow rate and pocket pressure for conditions of increasing static load (max. 3,600 N) and shaft speed to 17.5 krpm (tip speed 69.8 m/s) and for an increasing water supply pressure into the thrust bearings, max. 17.2 bar (250 psig). Predictions from a bulk flow model that accounts for both fluid inertia and turbulence flow effects agree well with recorded bearing flow rates (supply and exiting thru the inner diameter), pocket pressure and ensuing film clearance due to the imposed external load. The measurements and predictions show a film clearance decreasing exponentially as the applied load increases. The bearing flow rate also decreases, and at the highest rotor speed and lowest supply pressure, the bearing is starved of lubricant on its inner diameter side, as predicted. The measured bearing flow rate and pocket pressure aid to the empirical estimation of the orifice discharge coefficient for use in the predictive tool. The test data and validation of a predictive tool give confidence to the integration of fluid film thrust bearings in cryogenic turbo pumps as well as in other more conventional (commercial) machinery. The USAF Upper Stage Engine Technology (USET) program funded the work during the first decade of the 21st century.
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- 2016
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32. Improving your return to work
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Emily Johnson, Fran Haigh, Nancy Redfern, Stephen Phillips, Emma Plunkett, Anna Pierson, and Kathryn Bell
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Finance ,business.industry ,Economics ,Return to work ,business - Published
- 2016
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33. Fast, robust, continuous monocular egomotion computation
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Kostas Daniilidis, Stephen Phillips, and Andrew Jaegle
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FOS: Computer and information sciences ,0209 industrial biotechnology ,Monocular ,business.industry ,Computer Vision and Pattern Recognition (cs.CV) ,Computation ,Computer Science - Computer Vision and Pattern Recognition ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Optical flow ,02 engineering and technology ,Residual ,Maxima and minima ,Computer Science - Robotics ,020901 industrial engineering & automation ,Kernel method ,Motion estimation ,Outlier ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,business ,Robotics (cs.RO) ,Mathematics - Abstract
We propose robust methods for estimating camera egomotion in noisy, real-world monocular image sequences in the general case of unknown observer rotation and translation with two views and a small baseline. This is a difficult problem because of the nonconvex cost function of the perspective camera motion equation and because of non-Gaussian noise arising from noisy optical flow estimates and scene non-rigidity. To address this problem, we introduce the expected residual likelihood method (ERL), which estimates confidence weights for noisy optical flow data using likelihood distributions of the residuals of the flow field under a range of counterfactual model parameters. We show that ERL is effective at identifying outliers and recovering appropriate confidence weights in many settings. We compare ERL to a novel formulation of the perspective camera motion equation using a lifted kernel, a recently proposed optimization framework for joint parameter and confidence weight estimation with good empirical properties. We incorporate these strategies into a motion estimation pipeline that avoids falling into local minima. We find that ERL outperforms the lifted kernel method and baseline monocular egomotion estimation strategies on the challenging KITTI dataset, while adding almost no runtime cost over baseline egomotion methods., Comment: Accepted as a conference paper at ICRA 2016. Main paper: 8 pages, 7 figures. Supplement: 4 pages, 2 figures
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- 2016
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34. MP32-09 OPEN MINIMALLY INVASIVE RENAL TRANSPLANT IN OBESE PATIENTS THROUGH THE ANTERIOR RECTUS SHEATH
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Sharon Hill, Bashir R. Sankari, Stephen Phillips, Lorie Lipscomb, Joseph B. Africa, and Shih-Chieh J. Chueh
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medicine.medical_specialty ,Anterior rectus sheath ,business.industry ,Renal transplant ,Urology ,medicine ,business ,Surgery - Published
- 2016
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35. Diabetes, dignity and cognitive impairment
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Anne Phillips and Stephen Phillips
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Dignity ,business.industry ,Diabetes mellitus ,media_common.quotation_subject ,medicine ,General Medicine ,medicine.disease ,Cognitive impairment ,business ,Clinical psychology ,media_common - Published
- 2012
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36. Dementia: a growing problem for older people with diabetes?
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Stephen Phillips
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Gerontology ,business.industry ,Diabetes management ,Diabetes mellitus ,Medicine ,Dementia ,Cognitive decline ,business ,Older people ,medicine.disease ,Cognitive impairment ,humanities ,General Nursing - Abstract
Stephen Phillips and Anne Phillips explain why there is a raised risk of cognitive impairment in older people with diabetes. They discuss its impact on diabetes management and ways to support the older people affected
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- 2011
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37. Diabetes, blood glucose levels and comorbidities
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Stephen Phillips and Anne Phillips
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medicine.medical_specialty ,business.industry ,Diabetes mellitus ,medicine ,Physical therapy ,General Medicine ,Intensive care medicine ,Older people ,business ,medicine.disease - Abstract
Diabetes is often under-diagnosed in older adults, this article describes how to challenge that and examines how to avoid hypoglycaemia despite the comorbidities often present in older people.
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- 2011
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38. The Benefits of Ambulatory Pulmonary Artery Pressure Monitoring in Patients with Heart Failure
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Harsh Patel and Stephen Phillips
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Pulmonary and Respiratory Medicine ,Transplantation ,medicine.medical_specialty ,Exacerbation ,medicine.diagnostic_test ,business.industry ,Volume overload ,Hematocrit ,medicine.disease ,Regimen ,Internal medicine ,Heart failure ,medicine.artery ,Ambulatory ,Pulmonary artery ,Cardiology ,medicine ,Intravascular volume status ,Surgery ,Cardiology and Cardiovascular Medicine ,business - Abstract
Purpose CHAMPION trial showed a reduction in CHF hospitalizations with the utilization of the CardioMEMS device. We hope to expand on this trial by correlating pulmonary artery pressure to other variables of volume status, such as creatinine, pro-BNP, hematocrit, iron levels, and body weight, in the patient population we currently serve to help analyze the efficiency of their current HF regimen and help formulate any required adjustments to prevent future CHF exacerbation hospitalizations. Methods We retrospectively investigated all of our CardioMEMS patients who were hospitalized after CARDIOMEMS placement over a course of 1 year for CHF exacerbation. We followed them from baseline to hospitalization to discharge to clinic follow up while monitoring several variables, including pulmonary artery pressures, creatinine, pro-BNP, hematocrit, iron levels and body weight. All data was primarily collected via the Merlin.net™ Patient Care Network - Heart Failure Management Database and EPIC EMR. Necessary diuretic regimens were adjusted according to these variables. Results Our analysis showed a direct correlation with pulmonary artery pressure with pro-BNP and body weight and an inverse relationship with creatinine, iron levels, and hematocrit at the time of admission suggesting evidence of volume overload and increased ventricular wall stress. Pro-BNP displayed a strong, positive, relative linear relationship (Pearson Correlation of 0.609 and r of 0.63) and hematocrit had a similar inverse (strong, negative, linear) (Pearson Correlation of 0.713 and r of -0.58) relationship with pulmonary artery pressure, compared to the other variables. These variables displayed a similar inverse relationship as patients were adequately diuresed during their hospitalization and subsequently discharged home. We also saw 42% reduction in length of hospital stay and 56% 30 day readmission rates in our study patient population. Conclusion Our retrospective analysis confirmed that results endorsed by the CHAMPION trial by showing a significant reduction in hospitalization of our CardioMEMS patients. Concurrently, we also advocate the benefit of Pro-BNP and hematocrit levels as strong positive correlating factors to determine volume status.
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- 2018
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39. A comparison between the direct anterior and posterior approaches for total hip arthroplasty: the role of an 'Enhanced Recovery' pathway
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Stephen Phillips, G. Royce, S. U. Bhatti, J. R. Wootton, I. A. Malek, I Wilson, Ian Starks, and JP Whittaker
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Adult ,Male ,Reoperation ,medicine.medical_specialty ,Arthroplasty, Replacement, Hip ,Periprosthetic ,Oxford hip score ,Preoperative care ,Patient Readmission ,Perioperative Care ,03 medical and health sciences ,0302 clinical medicine ,Postoperative Complications ,Enhanced recovery ,Preoperative Care ,medicine ,Humans ,Orthopedics and Sports Medicine ,030212 general & internal medicine ,Aged ,Pain Measurement ,Retrospective Studies ,Aged, 80 and over ,030222 orthopedics ,business.industry ,Incidence (epidemiology) ,Retrospective cohort study ,Length of Stay ,Middle Aged ,United Kingdom ,Surgery ,Critical Pathways ,Female ,Periprosthetic Fractures ,business ,Body mass index ,Total hip arthroplasty - Abstract
Aims We assessed the difference in hospital based and early clinical outcomes between the direct anterior approach and the posterior approach in patients who undergo total hip arthroplasty (THA). Patients and Methods The outcome was assessed in 448 (203 males, 245 females) consecutive patients undergoing unilateral primary THA after the implementation of an ‘Enhanced Recovery’ pathway. In all, 265 patients (mean age: 71 years (49 to 89); 117 males and 148 females) had surgery using the direct anterior approach (DAA) and 183 patients (mean age: 70 years (26 to 100); 86 males and 97 females) using a posterior approach. The groups were compared for age, gender, American Society of Anesthesiologists grade, body mass index, the side of the operation, pre-operative Oxford Hip Score (OHS) and attendance at ‘Joint school’. Mean follow-up was 18.1 months (one to 50). Results There was no significant difference in mean length of stay (p = 0.07), pain scores on the day of surgery, the first, second and third post-operative days (p = 0.36, 0.23, 0.25 and 0.59, respectively), the day of mobilisation (p = 0.12), the mean OHS at six and 24 months (p = 0.08, and 0.29, respectively), the incidence of infection (p = 1.0), dislocation (p = 1.0), re-operation (p = 0.21) or 28 days’ re-admission (p = 0.06). Significantly more patients in the DAA group achieved a planned discharge target of three days post-operatively (68% vs 56%, p = 0.007). The rate of periprosthetic femoral fractures was significantly higher in the DAA group (p = 0.04). Conclusion We conclude that there is no difference in clinical outcomes between the DAA and the posterior approach in patients undergoing THA when an ‘Enhanced Recovery’ pathway is used. However, a significantly higher rate of periprosthetic femoral fractures remains a concern with the DAA, even in experienced hands. Take home message: Our results show that the DAA for THA is not superior to posterior approach when ‘Enhanced Recovery’ pathway is used. Cite this article: Bone Joint J 2016;98-B:754–60.
- Published
- 2015
40. Uniform Minimum Protocols and Standards for Watercraft Interception Programs for Dreissenid Mussels in the Western United States
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Bill Zook and Stephen Phillips
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Hydrology ,Fishery ,Engineering ,business.industry ,Interception ,business ,Watercraft - Published
- 2015
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41. Recognising female sexual dysfunction as an essential aspect of effective diabetes care
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Stephen Phillips and Anne Phillips
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International studies ,Female sexual dysfunction ,Human sexuality ,Nursing ,Partnership working ,RT ,Diabetes Complications ,Patient Education as Topic ,Diabetes mellitus ,Medicine ,Humans ,Sexual Dysfunctions, Psychological ,General Nursing ,business.industry ,Disease Management ,medicine.disease ,R1 ,Sexual Dysfunction, Physiological ,Increased risk ,Sexual dysfunction ,Female ,medicine.symptom ,business ,Risk Reduction Behavior ,Sexuality ,Patient education - Abstract
The following literature review will focus on sexual dysfunction in women living with diabetes, drawing on international studies in this specialist field. The key aim of this paper is generate a greater understanding and recognition of the issues facing these women and to determine a more proactive approach to identification, consultation and potential treatment options. The main findings highlight the unique role practitioners have with women with diabetes and how to facilitate partnership working. Nurses have the most frequent contact with people living with diabetes in any healthcare system. Nurses’ knowledge about sexuality in relation to diabetes should improve patient education, recognition and could signal undiagnosed or increased risk of sexual dysfunction to enable treatment so care can be optimised accordingly (Sivrikaya et al., 2014).
- Published
- 2015
42. Recommendations for the Management of Intracranial Haemorrhage – Part I: Spontaneous Intracerebral Haemorrhage
- Author
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K.Y.K. Wong, H. Tunstall-Pedoe, M. Altomonte, G. Bologna, G. Musso, Wen-Harn Pan, M. Zanna, A. Sciolla, F.G. Lehnhardt, S.Y.S. Wong, Jee Hoon Roh, F. Frumento, M. Gioffre, R.S. MacWalter, G. Baldi, H.W. Fraser, Ji Hyun Kim, F. De Giorgi, A. Villa, V. Spisni, Hou-Chang Chiu, Li-Ming Lien, V. Gai, Michiru Ide, Gianfranco Cervellin, F. Lhermitte, F. De Iaco, J. Brunkwall, Tomohide Ohnuki, Huey Bee Pey, M. Pagès, V. Remollino, R. Zoratti, M. Aleksic, A. Saporito, Willem P.Th.M. Mali, Jiunn-Rong Chen, R. Monsù, A. Fleur van Raamt, Deidre A De Silva, D. Wolfson, A. Vandelli, Yeu-Jhy Chang, Meng Cheong Wong, C. Brusasco, Ji Hoe Heo, W.D. Heiss, Hui Meng Chang, Shigeharu Takagi, C. Lorenzi, Shan-Jin Ryu, A. Caiazza, Sang Won Han, M. Neveling, Peter Jan van Laar, M. Pastorello, Frank L. Silver, Saran Jonas, Seong-Beom Koh, Yukito Shinohara, G. Re, S. Ogston, V. Tiscione, A. Ricciardi, Janel O. Nadeau, Stephen Phillips, Yolanda van der Graaf, A.H. Jacobs, Wakoh Takahashi, Seo Hyun Kim, J. Sobesky, Staffan Eksborg, Chyi-Huey Bai, A. Iorio, S. Lamberti, Louise Martinsson, F. Nocenti, C. Del Prato, Moira K. Kapral, R.C. Parodi, V. Matoussevitch, A.D. Struthers, Giacinto Grieco, Michael D. Hill, M. Buzzalino, D. Giovanardi, David J. Gladstone, A. Ghirarduzzi, M. Malek, S. Cattaneo, Christopher Chen, M.A. Rueger, Wei-Hung Chen, Tsong-Hai Lee, Y. Ersoy, HaiJiang S. Shi, A. De Palma, F. Altomonte, A. Caporrella, and M.P. Golinelli
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medicine.medical_specialty ,Stroke etiology ,business.industry ,Intracranial haemorrhage ,MEDLINE ,medicine.disease ,Neurology ,Hypertension complications ,Emergency medical services ,medicine ,Neurology (clinical) ,Medical emergency ,Cardiology and Cardiovascular Medicine ,business ,Intensive care medicine ,Stroke - Abstract
This article represents the recommendations for the management of spontaneous intracerebral haemorrhage of the European Stroke Initiative (EUSI). These recommendations are endorsed by the 3 European societies which are represented in the EUSI: the European Stroke Council, the European Neurological Society and the European Federation of Neurological Societies.
- Published
- 2006
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43. Realigning a business information service for future success
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Stephen Phillips
- Subjects
Business information ,Finance ,business.industry ,media_common.quotation_subject ,05 social sciences ,Economics, Econometrics and Finance (miscellaneous) ,Financial market ,Legislation ,Money laundering ,Recession ,Globalization ,Shareholder ,0502 economics and business ,Economics ,Business, Management and Accounting (miscellaneous) ,0509 other social sciences ,Business and International Management ,Marketing ,050904 information & library sciences ,business ,050203 business & management ,Financial services ,media_common - Abstract
This article reviews the some of the pressures that have been felt by the global financial markets over the past ten years, including: the normal recession/boom cycles; the massive growth and sudden collapse of the dotcom boom; the continuing globalization of the world’s financial markets; the financial markets’ own poor market performance (with shareholder discontent in many of the larger institutions); financial institutions’ clients economizing to protect their revenues; the terrorist attacks on the USA on 11 September 2001; the spectacular bankruptcies of Enron and WorldCom (with the spate of new regulations such as the Sarbanes-Oxley Act); and legislation against money laundering. These pressures have provided considerable opportunities for information professionals to demonstrate their expertise and become trusted advisers on information management issues to the business at large with tasks that have included: cutting costs; improving profitability; and dealing with the fall-out from the regulatory and legislative impact. The period 2001-2005 has seen an increasing polarization of the activities associated with information management and information supply and this is expected to result in a realignment of information management to the strategic aims of the business and placing information retrieval work onto a more tactical foundation. The author concludes that a new class of information professional will emerge that is capable of understanding the strategic requirements of the business and the large number of factors that shape that strategy.
- Published
- 2005
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44. Linking quality of service and experience in distributed multimedia systems using PROV semantics
- Author
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Michael Boniface, Vegard Engen, Stefanie Wiegand, Zipani Tom Sinkala, Simon Crowle, Maxim Bashevoy, and Stephen Phillips
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Multimedia ,business.industry ,Computer science ,End user ,Quality of service ,Interface (computing) ,Ontology (information science) ,computer.software_genre ,Semantics ,World Wide Web ,Perceived quality ,Software ,Quality of experience ,business ,computer - Abstract
Experimenters creating innovative applications that combine diverse distributed multimedia services with rich end user applications require enhanced insight into the relationships between the perceived quality of experience (QoE) and provided quality of service (QoS). We have implemented software which not only captures QoE and QoS measurements but, using a provenance ontology, also records the interactions between end users, the content, applications and the services. The data exploration interface provided allows an experimenter, working with participants in real-world situations, to understand the detail of the participants' usage and experience of the system and the system performance factors contributing to their quality of experience.
- Published
- 2015
45. Measurements Versus Predictions for the Dynamic Impedance of Annular Gas Seals—Part I: Test Facility and Apparatus
- Author
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Christopher G. Holt, Matthew P. Dawson, Stephen Phillips, and Dara W. Childs
- Subjects
Pressure drop ,Leak ,geography ,Materials science ,geography.geographical_feature_category ,business.industry ,Stator ,Mechanical Engineering ,Acoustics ,Mechanical impedance ,Electrical engineering ,Energy Engineering and Power Technology ,Aerospace Engineering ,Labyrinth seal ,Inlet ,law.invention ,Fuel Technology ,Nuclear Energy and Engineering ,law ,Annulus (firestop) ,business ,Electrical impedance - Abstract
An experimental facility and apparatus are described for measuring the dynamic impedance and leakage characteristics of annular gas seals. The apparatus currently has a top speed of 29,800 rpm and can accommodate seal diameters up to 114.3 mm. The air-supply system can provide up to 13.79 MPa (2000 psi) of pressure at the seal inlet. Test seals are configured in a back-to-back arrangement inside the stator and air enters a central inlet annulus at two opposed radial positions. Labyrinth seals and bleed ports located outboard of each test seal are used to control the pressure drop across the test seals. Two orthogonal, external hydraulic shakers are used to excite the test stator at frequencies up to 400 Hz. At a given operating condition, the apparatus can measure the rotordynamic impedance of a pair of identical seals over a broad frequency range using a single pseudo-random excitation waveform. Measurements are also made of seal leakage rates and upstream and downstream temperatures and pressures.
- Published
- 2002
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46. Gentamicin-attenuated Leishmania infantum vaccine: protection of dogs against canine visceral leishmaniosis in endemic area of southeast of Iran
- Author
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Sarah Cleaveland, Hossein Kamiabi, Stephen Phillips, Mohammad Javad Namazi, Hamid Daneshvar, and Richard Burchmore
- Subjects
lcsh:Arctic medicine. Tropical medicine ,lcsh:RC955-962 ,Serology ,parasitic diseases ,medicine ,biology ,business.industry ,lcsh:Public aspects of medicine ,Public Health, Environmental and Occupational Health ,Vaccine trial ,Biology and Life Sciences ,Leishmaniasis ,lcsh:RA1-1270 ,medicine.disease ,biology.organism_classification ,Virology ,Sandfly ,Vaccination ,Infectious Diseases ,Immunology ,biology.protein ,Veterinary Science ,Gentamicin ,Antibody ,Leishmania infantum ,business ,Research Article ,medicine.drug - Abstract
An attenuated line of Leishmania infantum (L. infantum H-line) has been established by culturing promastigotes in vitro under gentamicin pressure. A vaccine trial was conducted using 103 naive dogs from a leishmaniosis non-endemic area (55 vaccinated and 48 unvaccinated) brought into an endemic area of southeast Iran. No local and/or general indications of disease were observed in the vaccinated dogs immediately after vaccination. The efficacy of the vaccine was evaluated after 24 months (4 sandfly transmission seasons) by serological, parasitological analyses and clinical examination. In western blot analysis of antibodies to L. infantum antigens, sera from 10 out of 31 (32.2%) unvaccinated dogs, but none of the sera from vaccinated dogs which were seropositive at >100, recognized the 21 kDa antigen of L. infantum wild-type (WT). Nine out of 31 (29%) unvaccinated dogs, but none of vaccinated dogs, were positive for the presence of Leishmania DNA. One out of 46 (2.2%) vaccinated dogs and 9 out of 31 (29%) unvaccinated dogs developed clinical signs of disease. These results suggest that gentamicin-attenuated L. infantum induced a significant and strong protective effect against canine visceral leishmaniosis in the endemic area., Author Summary A 24 month vaccine trial was conducted using 103 leishmania free dogs in an area of southeast Iran endemic for visceral leishmaniosis. The dogs were vaccinated with gentamicin-attenuated line of Leishmania infantum. No local and/or general indications of disease were observed in the vaccinated dogs immediately after vaccination with an attenuated line of Leishmania infantum. Nine out of 31 (29%) unvaccinated dogs, but none of those vaccinated, were positive for presence of Leishmania DNA by PCR. In western blots, sera from 10 out of 31 (32.2%) unvaccinated dogs, but none of the sera from vaccinated dogs, recognized the 21 kDa antigen of Leishmania infantum wild-type. One out of 46 (2.2%) vaccinated dogs and 9 out of 31 (29%) unvaccinated dogs developed clinical signs of disease. The attenuated Leishmania infantum induced a significant and strong protective effect against Leishmania infantum infection in the field.
- Published
- 2014
47. Smart-phone based computational microscopy using multi-frame contact imaging on a fiber-optic array
- Author
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Derek Tseng, Stephen Phillips, Ahmet F. Coskun, Saqib Mohammad, Justin Wong, Isa Navruz, Richie Nagi, and Aydogan Ozcan
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Optical fiber cable ,Engineering ,Microscopy ,Microscope ,Optical fiber ,Blood Cells ,business.industry ,Angular displacement ,Biomedical Engineering ,Bioengineering ,General Chemistry ,Biochemistry ,Sample (graphics) ,Article ,law.invention ,Optics ,Planar ,Transmission (telecommunications) ,law ,Image Processing, Computer-Assisted ,Image sensor ,business ,Algorithms ,Cell Phone ,Optical Fibers - Abstract
We demonstrate a cellphone based contact microscopy platform, termed Contact Scope, which can image highly dense or connected samples in transmission mode. Weighing approximately 76 grams, this portable and compact microscope is installed on the existing camera unit of a cellphone using an opto-mechanical add-on, where planar samples of interest are placed in contact with the top facet of a tapered fiber-optic array. This glass-based tapered fiber array has ∼9 fold higher density of fiber optic cables on its top facet compared to the bottom one and is illuminated by an incoherent light source, e.g., a simple light-emitting-diode (LED). The transmitted light pattern through the object is then sampled by this array of fiber optic cables, delivering a transmission image of the sample onto the other side of the taper, with ∼3× magnification in each direction. This magnified image of the object, located at the bottom facet of the fiber array, is then projected onto the CMOS image sensor of the cellphone using two lenses. While keeping the sample and the cellphone camera at a fixed position, the fiber-optic array is then manually rotated with discrete angular increments of e.g., 1-2 degrees. At each angular position of the fiber-optic array, contact images are captured using the cellphone camera, creating a sequence of transmission images for the same sample. These multi-frame images are digitally fused together based on a shift-and-add algorithm through a custom-developed Android application running on the smart-phone, providing the final microscopic image of the sample, visualized through the screen of the phone. This final computation step improves the resolution and also gets rid of spatial artefacts that arise due to non-uniform sampling of the transmission intensity at the fiber optic array surface. We validated the performance of this cellphone based Contact Scope by imaging resolution test charts and blood smears.
- Published
- 2013
48. Diabetes and older people: ensuring individualised practice
- Author
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Stephen Phillips
- Subjects
Gerontology ,Nursing ,business.industry ,Diabetes mellitus ,Medicine ,Older people ,business ,medicine.disease ,Risk management - Abstract
Diabetes mellitus is increasingly common in older people, partly because diabetes outcomes and risk management strategies have improved and partly because people are living longer and healthier lives.
- Published
- 2013
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49. One-year Results of a Prospective Multicenter Study of the Casebeer System of Refractive Keratotomy
- Author
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George O. Waring, J. Charles Casebeer, Robin M. Dru, Ronald Allen, Charles Moore, Ted Werblin, J. Chandler Berg, Stephen Phillips, William Whitson, Francis Price, George Waring, Randall Cole, Peter Rapoza, Robin Dru, Jeffrey Couch, Jeffrey Robin, Judy Gordon, Lanny Hale, Eric Rothchild, Lynn Lasswell, R. Lee Harman, Michael Somers, Patti Lee, Michael Hettinger, and Roger Steinert
- Subjects
medicine.medical_specialty ,Refractive error ,Visual acuity ,genetic structures ,business.industry ,Eye disease ,Glare (vision) ,Emmetropia ,Astigmatism ,medicine.disease ,eye diseases ,Vision disorder ,Ophthalmology ,medicine ,Optometry ,sense organs ,medicine.symptom ,business ,Dioptre - Abstract
Purpose: To evaluate the clinical results, predictability, stability, safety, and the patient satisfaction after refractive keratotomy for the correction of myopia and astigmatism using a defined protocol (the Casebeer system). Methods: The authors enrolled 324 patients (615 eyes) in a prospective study conducted by 18 surgeons. All procedures were performed using ultrasonic pachymetry with the diamond knife blade set at a length of 100% of the temporal paracentral corneal thickness reading and four to eight centripental (Russian style) incisions with or without fixation of the globe. Straight transverse incisions were done for astigmatism in 222 (36%) eyes. One to eight repeated operations (enhancements) were done on 241 (39%) eyes. Results: Mean baseline cycloplegic refraction was -3.68 ± 1.59 diopters (D) (range, -0.88 to -8.25 D). One-year data were available for 546 eyes (89%). At 1 year, mean spherical equivalent cycloplegic refraction was -0.27 ± 0.78 D (range, -3.13 to +3.00 D). There were 373 (68%) eyes with a refraction of ±0.50 D, and 483 eyes (89%) within ±1.00 D of emmetropia. Ten eyes (2%) were overcorrected by more than 1.00 D. Mean baseline refractive cylinder was 1.01 ± 0.75 D (range, 0–5.75 D); at 1 year, the mean cylinder was 0.40 ± 0.55 D (range, 0–2.50 D). Uncorrected visual acuity was 20/20 or better in 297 (54%) eyes and 20/40 or better in 93%. Six eyes (11%) lost two to three lines of spectacle-corrected visual acuity; the worst visual acuity was 20/30. Of patients responding to a standardized questionnaire, 320 (77%) wore no spectacles for distance or near vision; there was a significant increase in glare and fluctuation of vision from baseline; and 247 (90%) were very satisfied with the outcome. Conclusions: Refractive keratotomy using radial incisions with or without transverse incisions and following the Casebeer system effectively reduces and often eliminates myopia and astigmatism with a high degree of safety. Enhancement surgery was required in 39% of eyes. Glare and fluctuation of vision increased postoperatively but were rated mild, and patient satisfaction was high.
- Published
- 1996
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50. Predicting application performance for multi-vendor clouds using dwarf benchmarks
- Author
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Juri Papay, Stephen Phillips, Michael Boniface, Vegard Engen, Wang, X.S., Cruz, I., Delis, A., and Huang, G.
- Subjects
Cloud resources ,Vendor ,business.industry ,Computer science ,Quality of service ,Distributed computing ,Provisioning ,Workload ,Cloud computing ,computer.software_genre ,Resource (project management) ,Operating system ,The Internet ,business ,computer - Abstract
Future Internet applications are becoming increasingly dynamic and can be composed of a wide range of services controlled and hosted by different stakeholders. This paper addresses the challenge of resource provisioning for applications that have specific Quality of Service (QoS) requirements and where consumers of Cloud resources want to avoid lock-in to any specific Infrastructure-as-a-Service (IaaS) provider. Application modelling can be used to predict performance of applications given certain resources, workload and configuration. However, application modelling is a significant challenge for Cloud consumers due to the limited and varying information IaaS providers disclose about infrastructure resources. We demonstrate in this paper how Dwarf benchmarks can be used as a uniform and informative way of characterising compute resources, which is successful for application modelling, achieving high prediction accuracy on a range of applications.
- Published
- 2012
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