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207. Introduction

Author

Davis, Don, McCalla, Doug, McDowall, Duncan, and Traves, Tom

Published
2018

208. Cloud-based services for electronic civil registration and vital statistics systems

Author

Brett McDowall and Samuel Mills

Subjects
Cloud-based service, Data center, Civil registration and vital statistics, Nutritional diseases. Deficiency diseases, RC620-627, Public aspects of medicine, RA1-1270
Abstract

Abstract This paper examines the hosting options for electronic civil registration and vital statistics (CRVS) systems, particularly the use of data centers versus cloud-based solutions. A data center is a facility that houses computer systems and associated hardware and software components, such as network and storage systems, power supplies, environment controls, and security devices. An alternative to using a data center is cloud-based hosting, which is a virtual data center hosted by a public cloud provider. The cloud is used on a pay-as-you-go basis and does not require purchasing and maintaining of hardware for data centers. It also provides more flexibility for continuous innovation in line with evolving information and communications technology.

Published
2019
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209. Improved efficacy against malignant brain tumors with EGFRwt/EGFRvIII targeting immunotoxin and checkpoint inhibitor combinations

Author

Vidyalakshmi Chandramohan, Xuhui Bao, Xin Yu, Scott Parker, Charlotte McDowall, Yen-Rei Yu, Patrick Healy, Annick Desjardins, Michael D. Gunn, Matthias Gromeier, Smita K. Nair, Ira H. Pastan, and Darell D. Bigner

Subjects
Immunotoxin, Immune checkpoint inhibitors, EGFR, T cells, Malignant gliomas, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background D2C7-IT is a novel immunotoxin (IT) targeting wild-type epidermal growth factor receptor (EGFRwt) and mutant EGFR variant III (EGFRvIII) proteins in glioblastoma. In addition to inherent tumoricidal activity, immunotoxins induce secondary immune responses through the activation of T cells. However, glioblastoma-induced immune suppression is a major obstacle to an effective and durable immunotoxin-mediated antitumor response. We hypothesized that D2C7-IT-induced immune response could be effectively augmented in combination with αCTLA-4/αPD-1/αPD-L1 therapies in murine models of glioma. Methods To study this, we overexpressed the D2C7-IT antigen, murine EGFRvIII (dmEGFRvIII), in established glioma lines, CT-2A and SMA560. The reactivity and therapeutic efficacy of D2C7-IT against CT-2A-dmEGFRvIII and SMA560-dmEGFRvIII cells was determined by flow cytometry and in vitro cytotoxicity assays, respectively. Antitumor efficacy of D2C7-IT was examined in immunocompetent, intracranial murine glioma models and the role of T cells was assessed by CD4+ and CD8+ T cell depletion. In vivo efficacy of D2C7-IT/αCTLA-4/αPD-1 monotherapy or D2C7-IT+αCTLA-4/αPD-1 combination therapy was evaluated in subcutaneous unilateral and bilateral CT-2A-dmEGFRvIII glioma-bearing immunocompetent mice. Further, antitumor efficacy of D2C7-IT+αCTLA-4/αPD-1/αPD-L1/αTim-3/αLag-3/αCD73 combination therapy was evaluated in intracranial CT-2A-dmEGFRvIII and SMA560-dmEGFRvIII glioma-bearing mice. Pairwise differences in survival curves were assessed using the generalized Wilcoxon test. Results D2C7-IT effectively killed CT-2A-dmEGFRvIII (IC50 = 0.47 ng/mL) and SMA560-dmEGFRvIII (IC50 = 1.05 ng/mL) cells in vitro. Treatment of intracranial CT-2A-dmEGFRvIII and SMA560-dmEGFRvIII tumors with D2C7-IT prolonged survival (P = 0.0188 and P = 0.0057, respectively), which was significantly reduced by the depletion of CD4+ and CD8+ T cells. To augment antitumor immune responses, we combined D2C7-IT with αCTLA-4/αPD-1 in an in vivo subcutaneous CT-2A-dmEGFRvIII model. Tumor-bearing mice exhibited complete tumor regressions (4/10 in D2C7-IT+αCTLA-4 and 5/10 in D2C7-IT+αPD-1 treatment groups), and combination therapy-induced systemic antitumor response was effective against both dmEGFRvIII-positive and dmEGFRvIII-negative CT-2A tumors. In a subcutaneous bilateral CT-2A-dmEGFRvIII model, D2C7-IT+αCTLA-4/αPD-1 combination therapies showed dramatic regression of the treated tumors and measurable regression of untreated tumors. Notably, in CT-2A-dmEGFRvIII and SMA560-dmEGFRvIII intracranial glioma models, D2C7-IT+αPD-1/αPD-L1 combinations improved survival, and in selected cases generated cures and protection against tumor re-challenge. Conclusions These data support the development of D2C7-IT and immune checkpoint blockade combinations for patients with malignant glioma.

Published
2019
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212. The toxicity of o-cresol and 2,4-dimethylphenol on anaerobic microbial associations

Author

McDowall, Alex

Subjects
610
Abstract

The study of anaerobic bacterial growth associations plays an important role in the analysis of the toxicity and effect of pollutants. These associations can be found in the environment, for example in groundwater or wastewater treatment plants or even in the gut of animals. The aims of this study were to compare the toxicity exhibited on anaerobic growth associations by two similar alkylphenolic compounds, o-cresol and 2,4-dimethylphenol (DMP), individually and combined, and examine the specific effect these compounds had on individual bacterial groups within the consortium. Through the use of anaerobic batch cultures, the inhibitory concentrations and effects of o-cresol and 2,4-dimethylphenol on anaerobic processes were analysed. Concentrations of o-cresol = 1.85mM were shown to have an inhibitory effect on sulphate reduction, acetogenesis and methanogenesis. At concentrations = 7.4mM complete inhibition of sulphate reduction was noted and the acetogenic and metha nogenic processes were greatly reduced, concentrations = 9.3mM appear to cause complete inhibition of methane production. 2,4-dimethylphenol inhibited bacterial groups at concentrations =0.41mM; complete inhibition of sulphate production was observed at concentrations of DMP =3.28mM. Although methane production was significantly reduced at the highest concentration (4.1mM) complete inhibition was not observed. It was found that DMP was more toxic to all the bacteria and archaea within the consortium than o-cresol. Use of continuous flow systems allowed for the separation of the microbial groups within the consortium allowing for the analysis of the direct effect of o-cresol and 2,4- Dimethylphenol. Analysis of the results indicated that the compounds inhibited all the microbial groups, although with varying x degrees of success. It was observed that acetoclastic methanogenic bacteria are more resilient to the toxic effect of the compounds than h methanogens and sulphate reducing bacteria. The combined toxicity of these compounds was analysed utilising batch cultures. The combined toxic effect on the growth consortium was observed after addition of both of these compounds to batch cultures. The results showed that, when combined, these compounds exhibited a toxic effect on the consortium, which was synergistic in nature. This study has highlighted the toxic effects of o-cresol and DMP on anaerobic consortia and the importance of the synotrophic relationships between the different bacterial and archaeal groups. It is important that work in this field is carried on to develop a better understanding of the implications of toxic chemical spills and their impact on the groundwater environment.

Published
2014
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213. An investigation into which forms of early teacher learning are most effective with respect to retention, motivation, commitment and job satisfaction for new entrants to the school teaching profession

Author

McDowall, Sophie

Subjects
370, L Education (General), LB1603 Secondary Education. High schools
Abstract

This research project explores which forms of early teacher learning (ETL) are most effective to secure the retention, motivation, commitment and job satisfaction of new entrants to the teaching profession in the United Kingdom (UK). It was inspired by concern over the high drop-out rate of teachers new to the profession expressed by Michael Gove (UK Secretary of State for Education) in The White Paper “The Importance of Teaching” (2010). A survey methodology was used and the method was that of semi-structured interviews with twenty teachers from three secondary schools in the West Midlands of England. It was found that ETL was effective when interactive, shared, school based, well mentored and related to teaching in the classroom. It was also found that effective ETL took place when teachers were learning through their engagement in projects, responsibility roles and extra-curricular activities. It was further found that this was so because such activities developed professional identity; self-efficacy; a psychological contract with the school and mastery of the craft of teaching. Links to the processes of acculturation, assimilation and actualisation were indicated. The significance of this research project is that it points to strategies which can help retain new entrants in the profession.

Published
2014

219. Epilogue

Author

Renshaw, Ian, primary, Arnott, Peter, additional, and McDowall, Graeme, additional

Published
2020
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221. Introduction

Author

Renshaw, Ian, primary, Arnott, Peter, additional, and McDowall, Graeme, additional

Published
2020
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224. A Downstream Processing Cascade for Separation of Caproic and Caprylic Acid from Maize Silage-Based Fermentation Broth

Author

Maria Braune, Bomin Yuan, Heike Sträuber, Stewart Charles McDowall, Roy Nitzsche, and Arne Gröngröft

Subjects
chain elongation, anaerobic fermentation, medium-chain carboxylates, ultrafiltration, liquid-liquid extraction, biorefinery, Biotechnology, TP248.13-248.65
Abstract

Production of caproic and caprylic acid through anaerobic fermentation of crops or residual and waste biomass has been regarded as an alternative to the conventional ways, where plant oils and animal fats are mostly used. The downstream processing of the fermentation broth is a particular challenge since the broth has a highly complex composition and low concentrations of the target products. In this study, the proof-of-principle for a separation cascade for caproic (C6) and caprylic acid (C8) produced in a maize silage-based fermentation process was demonstrated. For clarification of the fermentation broth, a filter press and a ceramic ultrafiltration membrane was used to remove coarse solids and to separate suspended particles and macromolecules from the fermentation broth, respectively. With both techniques, the dry matter content was reduced from 6.8 to 2.3% and a particle-free product solution was obtained. Subsequently, the carboxylic acids were extracted with oleyl alcohol by liquid-liquid extraction with an extraction efficiency of 85% for C6 and 97% for C8. Over the whole cascade, 58% of caproic acid and 66% of caprylic acid were recovered from the fermentation broth into the extract. Among all separation steps, solid-liquid separation with the filter press caused the major part of the product loss of 21% of each carboxylic acid. By using separation equipment with a better solid separation efficiency such as decanter centrifuges or belt filter presses this loss could be minimized.

Published
2021
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225. Visualization in Robotic Surgery

Author

Azizian, Mahdi, McDowall, Ian, Sorger, Jonathan, Fong, Yuman, editor, Woo, Yanghee, editor, Hyung, Woo Jin, editor, Lau, Clayton, editor, and Strong, Vivian E., editor

Published
2018
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226. What's Good About the WHO Good Chromatography Practices Guidance? Part 2

Author

McDowall, R.D.

Subjects
United States. Food and Drug Administration -- Analysis, Chromatography -- Analysis, Chemistry, Science and technology, World Health Organization
Abstract

In September the World Health Organization (WHO) issued a new guidance document on Good Chromatography Practices. What guidance does it contain and is it useful? Has the document failed its system suitability test (SST) acceptance criteria?, In September 2020 the WHO issued a guidance document on Good Chromatographic Practices (1). The scope, content, and sections of the document dealing with the system and its set up [...]

Published
2021

227. Theatre in Times of Crisis: 20 Scenes for the Stage in Troubled Times

Author

Edward Bond, Mojisola Adebayo, Sudha Bhuchar, Gurpreet Kaur Bhatti, Zoe Cooper, Frances Ya-Chu Cowhig, Tim Crouch, Inua Ellams, James Graham, Tanika Gupta, Hannah Khalil, Morgan Lloyd Malcolm, Alistair McDowall, Vinay Patel, Lucy Prebble, Philip Ridley, Christopher Shinn, Simon Stephens, Chris Thorpe, Laura Wade, Anne, Dom O'Hanlon

Published
2020

228. all of it

Author

Alistair McDowall

Published
2020

229. Pomona

Author

Alistair McDowall

Published
2020

230. What's Good About the WHO Good Chromatography Practices Guidance? Part 1

Author

McDowall, R.D.

Subjects
United States. Food and Drug Administration, Howmet Aerospace Inc., Able Laboratories Inc., Chromatography, Aerospace industry, Pharmaceutical industry, Chemistry, Science and technology, Organisation for Economic Co-operation and Development
Abstract

In September the World Health Organisation (WHO) issued a new guidance document on Good Chromatography Practices. What guidance does it contain and is it useful? Has the document failed its SST acceptance criteria?, Chromatography data systems (CDSs) have been at the heart of data integrity falsification, fraud and poor data management practices for 15 years since Able Laboratories 483 Observations were published by [...]

Published
2020

231. Are Spreadsheets a Fast Track to Regulatory Non-Compliance?

Author

McDowall, R.D.

Subjects
United States. Food and Drug Administration, Chromatography -- Case studies, Spreadsheets -- Case studies, Spreadsheet add-on, Spreadsheet software, Chemistry, Science and technology
Abstract

This article uses case studies to explore the use and misuse of spreadsheet calculations in conjunction with a chromatography datasystem (CDS) in regulated GXP laboratories. What wonders of non-compliance will we find? How and when should spreadsheets be used in chromatographic analysis?, 'It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness...'. These are the opening lines of [...]

Published
2020

232. How Do You Write User Requirements for Chromatographs and Chromatography Data Systems?

Author

McDowall, R.D.

Subjects
United States. Food and Drug Administration, Chromatography, Analytical instruments, Chemistry, Science and technology
Abstract

One of the biggest failures with purchasing chromatograph systems and chromatography data system (CDS) software is either the total lack of or poorly written user requirements. So, how can you write acceptable requirements? Is specifying a chromatograph the same as software?, When it comes to the purchase of chromatographs or chromatography data system (CDS) software, the worst possible task for a user is to specify what they want it to do. [...]

Published
2020

233. Parents' Perspectives about How Prior Knowledge and Availability of Resources Influence Elementary Students' Mathematics Achievement

Author

McDowall, Vanessa

Abstract

The purpose of this study was to explore parents' views about elementary age children regarding the role that prior knowledge and availability of resources play in relation to students' achievement on the New York State math exam. This qualitative study included interviews with ten mothers (one Indian, one Caucasian, one African American, and seven Caribbean). These parents were from suburban areas in New York State. They gave information about eight female and two male children. Six of these students took the Terranova math exams in kindergarten and four did not take this test. All of the parents had children who took the New York State third grade Math exams in 2017. There were five parents who had children in public schools, four who had children in charter schools, and one who had a child in private school. The study was grounded in attribution theory, specifically focusing on the child-related factor of (prior knowledge) and environmental factors (resources) as they played a role in parents' views about their child's achievement. Parents were interviewed and the results coded using the attribution theory (external or internal, stable or unstable, and controllable or no control). This study is significant because it can help educators, parents, and test markers better serve children through improved understanding of parent perspectives about achievement, and providing information about how parent-school collaboration may be enhanced. Keywords: parental involvement, attribution, prior knowledge, resources. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2018

234. Teaching Practices, School Practices, and Principal Leadership: The First National Picture 2017

Author

New Zealand Council for Educational Research, Wylie, Cathy, McDowall, Sue, Ferral, Hilary, Felgate, Rachel, and Visser, Heleen

Abstract

New Zealand now has its first national picture of teaching and school practices, and principal leadership in English-medium schools. The Teaching and School Practices Survey Tool (TSP) is an online survey tool designed for schools and Kahui Ako to inquire into their teaching, school, and principal leadership practices. The TSP tool was developed in 2017 and made available for use in Terms 2 and 3 of that year. The national picture presented in this report draws on the 2017 aggregated data. The tool was commissioned by the Ministry of Education to provide: (1) school-level data that can be used by schools and Kahui Ako in review and planning to improve teaching and leadership capability; and (2) national data that can be used for evaluating the impact of policy, initially the introduction of Kahui Ako and changes to professional learning and development. The items in the TSP draw on robust research evidence about practices that are linked to desirable student experiences of learning and student outcomes. The items are consistent with The New Zealand Curriculum, ERO's school evaluation indicators, and the Standards for the Teaching Profession.

Published
2018

235. How the Key Competencies Evolved over Time: Insights from the Research

Author

New Zealand Council for Educational Research, McDowall, Sue, and Hipkins, Rosemary

Abstract

This is one of two papers developed for a Ministry of Education (MOE)-funded project, Competencies in New Zealand Council for Educational Research (NZC). The first paper draws on archived policy discussion papers to document the provenance of the NZC key competencies. This second paper analyses a series of research projects to describe how understandings about key competencies have developed over the decade since NZC was published. The key competencies have attracted considerable research attention over the decade since "The New Zealand Curriculum" ("NZC") was introduced. In this paper the authors report on an inquiry into the contribution this research effort has made to understanding: (1) what key competencies are (their nature); (2) how they should be included in a local curriculum (their weaving together with other curriculum components); and (3) how they should impact the intended learning (their role). A collection of relevant research was used to define four phases in the ways that key competencies have been understood and enacted in the overall school curriculum. This report describes the main conceptual and practical shifts during each of the four phases. Assessment implications of these different ways of thinking about the nature and role of key competencies in the curriculum are also outlined. [For the first paper, "How the Key Competencies Were Developed: The Evidence Base," see ED598100.]

Published
2018

237. Cancelled operations: a 7-day cohort study of planned adult inpatient surgery in 245 UK National Health Service hospitals

Author

Moonesinghe, S. Ramani, Wong, Danny J.N., Harris, Steve K., Bedford, James, Boney, Oliver, Chazapis, Maria, Drake, Sharon, Farmer, Laura, Gilhooly, David, Goodwin, James, Lourtie, Jose, Wagstaff, Duncan, Grocott, Mike, Sneyd, Robert, Batchelor, Anna, Brett, Stephen, Plowright, Catherine, Shrestha, Suman, Shawyer, Richard, Ahmed, Shafi, Khondoker, Mizan, Nathanson, Mike, Cripps, Paul, Research & Audit Federation of Trainees (RAFT), Anaesthetic Audit and Research Matrix of Yorkshire (AARMY), Intensive Care & Anaesthesia Research Network of North East Trainees (INCARNNET), Merseyside Anaesthetic Group for Improving Quality (MAGIQ), Midlands East Research by Critical Care and Anaesthetic Trainees (MERCAT), North West Research and Audit Group (NWRAG), Oxford Critical Care Anaesthetic Research Enterprise (OxCCARE), Pan-London Peri-operative Audit & Research Network (PLAN), Scottish East Quality Improvement & Research Academy (SEQuoIA), SESSA Quality Improvement and Research Network (SQUARES), Severn Trainees Anaesthetic Research (STAR), South West Anaesthetic Research Matrix (SWARM), South Yorkshire Hospitals Audit and Research Collaboration (SHARC), Southcoast Peri-operative Audit and Research Collaboration (SPARC), Welsh Anaesthetic Audit Research & Engagement Network (WAAREN), West Midlands Trainee Research Anaesthesia & Intensive Care Network (WMTRAIN), Rawat, Shilpa, Sathe, Sonia, Campbell, Alison, Anandarajah, Janakan, Ball, Nicola, Bandara, Lalindra, Barnes, Dennis, Chapman, Catherine, Connor, Lynda, Cook, Amanda, Ebejer, Amanda, Evans, Samantha, Gallagher, Maire, Goff, Sarah, Halfacree, Irina, Harford, Rachel, Harris, Catherine, Jackson, Rebecca, James, Kathryn, Jones, Claire, Jones, Sharon, Malinovszky, Kathy, Mungai, Serah, Nageswaran, Hari, Perumal, Anand, Pudge, Harriet, Quinn, Leanne, Sheppard, Thomas, Smith, Trudy, Spargo, James, Storton, Sharon, Thomas, Caradog, Thomas, Charlotte, Tyrrell, Samuel, Vale, Owen, Williams, Catrin, Williams, Marie, Williams, Tom, Winfield-Young, Lewys, Worrell, Helen, Moloney, Dermot, Chuni, Chandini, Comara, Jasna, Conway, Brian, Eagle, Zara, Foster, Greg, Platt, Chris, Thorne, Alison, Hee, Wendy Lum, Armstrong, Lisa, Brennan, Albert, Burns, Justine, Busby, Chantal, Couch-Upite, Mechele, Dooks, Emma, Dunlop, Sally, Eijk, Anya, Govindaraju, Ramana, Gregory, Tamsin, Grover, Alka, Hairsine, Brigid, Hennell, Sarah, Hill, Philippa, Hollins, Thomas, Hood, Julian, Horner, Lisa, Hothersall, Helen, Ingham, Rachel, Jackson, Richard, Kitching, Amy, Kurasz, Claire, Munsie, Sarah, Nemeth, Ildiko, Paley, Carole, Premraj, Prabhakaran, Redhead, Sue, Scriven, John, Shaw, Alison, Shenton, Liz, Shiva, Hemantha, Snell, Josie, Sootheran, Lucy, Stewart, Josephine, Swinton, Frank, Totten, Claire, Varghese, Liz, Vest, Sarah, Wetherell, Ben, Hamlyn, Vincent, Tozer, James, Alce, Timothy, Bopanna, Poonam, Draper, Kevin, Emmett, Lucy, Falkner, Phillippa, Fisher, Ellie, Griffiths, Cat, Gunter, Una, Harris, Rebecca, Hashmi, Saima, Jewitt, Helen, Lodhi, Sonal, Organ, Angie, Owen, Elana, Taylor, Frances, Tritean, Maria, Wassall, Richard, Woolley, Jade, MacGregor, Mark, Atkinson, Claire, Croft, Maria, Frost, Victoria, George, Richard, Gray, Catherine, Kuttler, Anja, Lalani, Christina, Peers, Beth, Sharpe, Lisa, Skeoch, Christopher, Tarft, Hayley, Tyson, Emma, Wrigley, Martha, Qadri, Shabir, Abbas, Tahir, Barot, Niraj, Cole, Steve, Ganesh, Ritesh, Groves, Christopher, Iles, Lindsey, Petkova, Hristina, Rau, Clovis, Roberts, Jack, Shakir, Nadeem, Chaurasia, Sunil Kumar, Brown, Julia, Cunningham, Mishell, Daniels, Allison, Gannon, Emily, Haines, Annette, Johnson, Nicola, Ogle, Paul, Perumal, Srinivasan, Zeidan, Lisa, Torrance, Hew, Anwar, Sibtain, Gooneratne, Mevan, Raj, Ashok, Abbott, Tom, Ashton, Laura, Brown, Katherine, Butterfield, Emma, Fenn, Jon, Forsyth-Jones, Tim, Garth, Thomas, Gleeson, Liam, Haines, Ryan, Jacobs, Benjamin, Jyothiraj, Haren, Madhi, Shareef, Marriot, Charlotte, Martin, Rebecca, McMillan, Timothy, Menon, Arun, Mohr, Otto Ernst, Muelmenstaedt, Maria, Naeem, Hanzla, Nagendram, Myura, O'Connor, Cormac, Pang, Ching, Plummer, Kimberley, Rob, Zak, Sellers, Dan, Shaw, Michael, Smith, Christopher, Taylor, Tom, Thorat, Priya, Van Rensberg, Gerhardus, Walker, Sophie, Waqas, Farkhunda, Wicks, Peter, Wirth, Daniel, Armanious, Samuel, Allen, Kellie, Bruni, Salvatore, Burijinti Chenna, Keshava Reddy, Kaliappan, Agilan, Ocampo, Madelaine, Percuin, Adrian, Riches, Joanne, Saclot, Louie, Sevillano, Annaliza, Vertue, Mark, Knowlden, Peter, David, Beena, Gajendragadkar, Pushpaj, Gladstone, George, Hammerbeck, Henry, Iaverdino, Marina, Lilley, Carina, Linton-Willoughby, Ben, Murrell, Daniel, Patro, Shweta, Richie-Mclean, Susanna, Turnbull, Marc, Vatsala, Padmanabhan, McCourt, Killian, Black, Nick, Coary, Ciara, McCarter, Jonathan, Murphy, Alexandra, Pugh, Richard, Littler, Chris, Clements, Stephan, Bairkdar, Linda, Bennett, Gillian, Bird, Tom, Bolger, Annette, Dhar, King, Ene, Raluca, George, David, Haron, Dhania, Hobson, Lucie, Iqbal, Saba, Irvine, Lizzie, Lewis, Sion, McCallum, Roisin, O'Donovan, Benjamin, Patrick, Christopher, Perman, Christopher, Rahman, Nowfal, Roberts, Iolo, Sutcliffe, William, Towers, Tammy, Waite, Alicia, Wright, Stella, Pilsbury, Jane, Allan, Michael, Allen, Cody, Carden, Nikkita, Cotterill, Amanda, Cullis, Kerry, Eden, Daniel, Farmer, Nicola, Galloway, Andrea, Geoghegan, James, Gilani, Ahmed, Hard, Kelly, Hasan, Khalid, Horner, Christopher, Iqbal, Virginia, Lowe, Julie, Mallavalli, Ravindra, McCooty, Shanteela, McKillop, Sian, Mellers, Diane, Mukherjee, Ronan, Nicholas, Michelle, O'Hara, Chloe, Osborne, Fiona, Plunkett, Emma, Sharih, Gauhar, Westwood, John, Whapples, Annabelle, Whitehouse, Diane, Williams, Lucinda, Yasin, Bilal, Cupitt, Jason, Brown, Janette, Stoddard, Emma, Balasubramaniam, Madhu, Athanasopoulos, Paul, Bhatti, Mohammad, Blood, Laura, Buckley, Hugo, Chadwick, Julie, Cocks, Shirley, Fradkin, Deborah, Hetherington, Emily, Hill, Rebecca, Hull, Rob, Loftus, Alison, McKenna, Emma, Mcmanoman, Lucy, Milian, Lauren, Mistry, Raksha, Murthen, Lisa, Parkinson, Dave, Rhead, Kat, Sandbach, Peter, Walker, Ciara, Wheatley, Emma, Spencer, Robert, Alderson, Stephen, Bull, Christopher, Butterworth, Rachel, Cousins, Simon, Goellner, Sarah, Greasley, Mark, Lyle, Fiona, Munro, Michael, Northey, Martin, White, Stuart, Harrison, Alex, Whitney, Paul-Simon, Drake, Jeremy, Babla, Rohan, Bharti, Ash, Cole, Stephen, Crotty, Stephen, Farrow, Amy, Golhar, Anil, Indoe, Peter, Jackson, Rosada, Latif, Mariam, Leong, Melvin, Lewith, Henry, Maton-Howarth, Matthew, Millar, Victoria, Millette, Ben, Oliver, Hannah, Ralhan, Vandita, Rashid, Yasir, Rivero-Bosch, Maria, Rizvi, Sana, Saleh, Rosahn, Venkatesh, Harisg, Wilson, Kate, Nair, Ashok, Basvi, Precious, Bell, Gillian, Edwards, James, Lee, David, Luo, Guanmei, Mewies, Clare, Qureshi, Arif, Sohail, Behzad, Valap, Sachin, Hill, Stephen, Bhuwanee, Deepti, Chan, James, Dereix, John, George, Allen, Ghafoor, Tasmeen, Gold, Emma, Haigh, Daniel, Harding, David, Janardhana, Bhavia, Jayan, Jithu, King, James, Laloë, Pnt, Pearce, Lauren, Pruthi, Amit, Roscoe, Eleanor, Seharawat, Deepak, Stubbington, Mark, Vanjari, Vinayak, Venkataraman, Anantharaman, Yen, Serena, Patil, Vishal, Chan, Charles, Davenport, Garry, Featherstone, Peter, Fourie, Petrus, Hall, Christopher, Mahidik, Preeti, Masoni, Elisa, Ortu, Andrea, Patil, Anita, Pickett, Janet, Sharma, Sandeep, Goodwin, Naomi, Allen, Lucy, Anderson, Nathan, Bateson, Ethan, Bhatia, Sanchita, Churchill, Sara, Cohen, Leon, Colhoun, Patrick, Dunn, Charlotte, Durie, Carys, Elgarf, Sarah, Ferry, Jenny, Guilford, Jeremy, Halligan, Claire, Harrison, Jade, Hayes, Dominic, Holst, Ben, Hughes, Rhys, Hunt, Thomas, Jackson, John, Kohler, George, Kriger, Michael, Kulikouskaya, Svetlana, Kurani, Amit, Maden, Charlotte, Moore, Alex, Mounce, Adam, O'Donnell, Alice, Sparrow, Robert, Sutherland, Jayne, Hanison, James, Bansal, Sujesh, Greenwood, Nick, Alkholany, Mahmoud, Apple, Zoe, Asif, Anam, Bhardwaj, Neeraj, Braid, Karl, Coates, Rebecca, Czukowska, Liliana, Elliott, Lauren, Fang, Li, Greenlee, Hannah, Maria, Jashmin, Mostafa, Tarek, Patil, Amarjeet, Weigert, Andrea, Matson, Alexandra, Adamson, Christine, Barclay, Philip, Barker, Amy, Bautista, Carina, Biswas, Suman, Bull, Rhian, Carungcong, Jaime, Christoper, Fenner, Cifre, Elna, Clancy, Olivia, Friedman, Lauren, Frunza, Gabriella, Habib, Sadia, Keerthikumar, Hindusha, Kirwan, Ursula, Laycock, Helen, Leir, Sarah, Maduekwe, Victor, Martella, Carmela, Meritahti, Minna, Nundlall, Kribashnie, Oblak, Metod, Panesar, Kirat, Peters, Timothy, Pett, Eleanor, Routley, Catriona, Samani, Amee, Santhirapala, Vatsharlan, Sayan, Amrinda, Sisson, Alice, Svensson, Marie-Louise, Thankachen, Mini, Tilley, Bernadette, Topham, Charlotte, Visvendra, Sathya, Warrington, Anna, Wibberley, Helen, Spittle, Nick, Andrews, Mia, Beavis, Sarah, Bernotaitis, Daiva, Chinna, Shalini, Church, Helen, Edwards, Sian, Ford, Nicky, Hazeldine, Sarah, Hudson, James, Macey, Claire, Morgans, Matthew, Toms, Julie, Whileman, Amanda, Woodward, Jan, Wright, Stephanie, Nariani, Jaya, Clark, Sam, Duniec, Larysa, Slorach, Marc, Allan, Ashley, Burrill, Bryony, Fairless, Lynn, Francis, Nicholas, McAdam, Colin, Sheriff, Julie, McLoughlin, Thomas, Arshed, Shayan, Bird, Clare, Campbell, Debbie, Chinery, Elaine, Onya, Enoch, Perry, Ryan, Sabugueiro, Jose Miguel, Shatanda, Lydia, Sheik, Muzaffar, Jo simpson, Wong, Gabriela, Yun-Han, Chen, Wilson, Lawrence, Adshead, Duncan, Castillo, David, Faulkner, Maria, Gibson, Kim, Keogh, Tara, Michlig, Sam, Perritt, Elizabeth, Ridler, Simon, Tizzard, Kate, Troy, Anne, Rafi, Amir, Melsom, Helen, Atkinson, Vikki, Azad, Tariq, Bashliyski, Vladimir, Brown, Ellen, Clark, Sarah, Cowton, Sister Amanda, Deane, Jill, Dent, Jean, Duckett, Karin, Duncan, Louise, Hooper, Nicholas, Johnson, Tom, Kay, Andrea, Kelly, Donna, Kent, Melanie, Knight, Jo, McCarroll, Christina, Newby, Annie, Potts, Kathryn, Roe, James, Rollins, David, Sarwar, Asia, Schofield, Lewis, Skelton, Deborah, Somanath, Sameer, Taysum, Peter, Temple, Julie, Udall, William, Varin, Jane, Venyo, Lucy, Warin, Martin, Wood, Shelly, Dhileepan, Srinivasan, Saibaba, Ravishankar Jakkala, Stewart, Emma, Warwick, Eleanor, Pemberton, Omar Alex, Garmash, Maryna, Griffiths, Rhys, Hale, Suzi, Lahloub, Fatma, Lynch, Ceri, Majeed, Abbas, Patchell, Ifan, Quinton, Jennifer, Sedghi, Babak, Wallis, Stephanie, Mansoor, Sange, Belagodu, Zakaulla, Dastur, Shirin, Fuller, Bridget, Hayes, Imogen, Keshkamat, Ashwini, Monantera, Georgia, Sandhar, Roxana, Sivakumaran, Shamini, Thomas, Megan, Torne, Manish, Turner, Sherma, Wakefield, Phillipa, Rogerson, David, Addleton, Catherine, Aju, Lisha, Appleby, Marie, Barnes, Elizabeth, Boateng, Trish, Carrick, Laura, Coulborn, Elaine, Darbyshire, Rebecca, Downes, Charlotte, Fitzgerald, Jodie, Hall, Linda, Harvey, Laura, Hassan, Amr, Holding, Kathleen, Hufton, Lianne, Humphries, Louise, Humphries, Ryan, Inman, Laurence, Issit, Nicole, Longhurst, Sarah, MacGregor, Melody, Mistry, Trusha, Mohamed, Mona, Otieno, Charlene, Read, David, Scott, Michelle, Singleton, Abbie, Smith, Jill, Sohal, Aariana, Tou, Samson, Unsworth, Vanessa, Wan, Richard, Worth, Christopher, Dobson, Richard, Buckley, Rose, Codling, Rachel, Hunter, Cain, Jackson, Jenny, Lowrie, Caroline, McMillan, Catherine, McNab, Raj, Richardson, Max, Sylvester, James, Watkin, Anna, Chambers, Jonathan, Bown, Rachel, Christie, Colin, Dukes, Stephanie, Horton, Sarah, Rees, Andrew, Williams, Patricia, Williams, Sarah, Pierson, Richard, Agarwal, Nipun, Allcock, Clare, Banga, Irmeet, Baron, Kirsty, Cole, Andrea, Dalay, Santinder, Gidda, Ranjit, Lo, Phillip, Merotra, Susan, Newton, Kathryn, Riddell, Zoe, Sonksen, Julian, Jamadarkhana, Sunil, Alcock, Chanice, Allen, Wei Lin, Baker, Pearl, Beadle, Hannah, Bramall, Jon, Chiravasuta, Radu, Chohan, Amina, Christofides, Angela, Cook, Angela, Cotta, Janet, Cruz, Carina, Gilmore, Jemma, Hills, Vicky, King, Kathryn, McClelland, Lucy, Nishimura, Sei, Nyathi, Rumyana, Panagoda, Prasan, Peacock, Louise, Shinn, Emma, Spencer, Sophie, Vianzon, Mayumi, Kapoor, Ritoo, Natarajan, Nagendra, Moore, Joanna, Amoakwa-Adu, Freda, Bahlool, Sinan, Cosier, Tracey, Driscoll, Sarah, Dulea, Claudia, Feneley, Andrew, Fletcher, Marcus, Hammad, Walid, Hazelton, Tracy, Hoyland, Kim, Katyayani, Bennur, Lloyd, Catherine, Moon, Angela, Musselwhite, Janine, Nair, Ganesh, O'Donnell, Joshua, Patankar, Pushkar, Redington, Katy, Sange, Aalia, Snazelle, Mark, Srbljak, Vanja, Stead, Richard, Tariq, Ismail, Thomas, Janine, Turney, Sharon, Chukkambotla, Srikanth, Mathew, Aji, Lie, Jason, Badsha, Zackriah, Bews, Sam, Bhandari, Kumud, Cartmell, Catherine, Cox, Greg, Desai, Hawa, Doran, Mark, Duberley, Stephen, Fitchett, Jill, Forrest, Diane, Freeman, David, Gani, Asif, Gedling, Catherine, Giles, Jessica, Goddard, Wendy, Gregson, Linda, Grimes, Yvonne, Hammond, Bev, Hartley, Janice, Hudson, Gemma, Ibrahim, Ramez, Iqbal, Nasreen, Jewers, Karen, Johnston, Brian, Kakkar, Abhishek, Koczka, Istvan, Lovell, Matt, Mahmoud, Mohamad, Melvin, Cathie, Milner, Matt, Moss, Nicky, Patel, Jeet, Perry, David, Pollard, Mike, Reed, Stephanie, Rennie, Gillian, Riley, Karen, Samuels, Sherrie, Simionescu, Ioana, Sissons, Lorna, Traynor, Stephen, Tucker, Daniel, Vetuz, Glenn, Whalley, Gillian, Marshall, Philippa, Arnold, Tim, Brookes, Jamie, Cowley, Anne, Delascasas, Ruth, Edmunds, Emma, Espitalier-Noel, Dominic, Jeevananthan, Rajeev, Law, Jenni, Mintrim, Kelly, Reid, Jack, Terry, Jackie, Verma, Manish, Zahra, Jean-Paul, Thorning, Geoff, Bailes, John, Dawson, Lindsay, Donovan, Clare, Gan, Jo Han, Jeyarajah, Kaya, Selman, Andrew, Woods, Justin, Csabi, Peter, Choo, Yin Yong, Das, Saheli, Denford, Clare, Desai, Mihir, Dimber, Rahul, Ellisy, Khaled, Griffiths, Ben, Lee, Sindy, Linnett, Vanessa, Daniels, Alex, Perkin, Sadie, Ritzema, Sister Jenny, Storey, Sister Bryony, Wood, Christine, Orme, Robert, Koh, Sock, Banks, Charis, Barker, Oliver, Beames, Susan, Brown, Aislinn, Corbett, Lucy, Dalton, James, Davis, Fiona, Edmunds, Matthew, Gatfield, Will, Gerrans, Edmund, Hickish, Tom, Hignell, Emily, Hiltout, Paula, Johnston, Helen, Miller, Sam, Mullender, Jo, O'Connell, Susan, Rosedale, Kath, Samuel, Katie, Vannahme, Milena, Baigel, Gary, Grayland, Sarah, Hawley, Victoria, McAffrey, Laura, Peggler, Suzannah, Stevens, Joe, Bidd, Heena, El-Boghdadly, Kariem, Zucco, Liana, Adelaja, Yemi, Bhattacharyya, Sanjoy, Bickmore, Elsie, Body, Suzanne, May-Ling Cheung, Jenny, Chowdhury, Priaykam, Cuddihy, Joshua, Ekwere, Ndi, John-Baptiste, Ange Lise, Kelly, Paul, Leslie, Daniel, Mon, Wint, Muzengi, Natasha, Ong, Cheng, Pattni, Nisha, Potter, Thomas, Stanton, Elena, Zaky, Maryam, Partridge, Richard, Bromhead, Helen, Evans, Peter, Griffin, Denise, Kinsella, J. Joseph, Knight, Alexander, Lewis, Rosemary Anna, Lightfoot, Heidi, Martin, Jane, Mupudzi, McDonald, Nahajski, Katherine, Oladele, Segun, Ottaway, Julia, Petley, Stephen, Sheldrake, Ian, Stewart, Alexander Michael, Stokes, Aaron, Trodd, Dawn, Varsani, Nimu, Walshe, Eleanor, Brown, Caroline Wrey, Huntley, Martin, Baldry, Natalie, Bennett, Caroline, Earl, Sophie, Guy, Joyce, Peat, Maggie, Stephenson, Lorraine, Tan, Hao Ern, Wills, Louise, Yare, Michelle, Yeung, Joyce, Antrolikar, Supriya, Atterbury, Katie, Baba, Fayaz, Bancroft, Hollie, Begum, Safia, Bellamy, Mary, Couper, Keith, Evans, Lucy, Flight, Rachel, Frankling, Catriona, Ganesh, Srikant, Gresty, Joanne, Joslyn, Ruth, Kadiri, Salma, Karimi, Aalisha Mariam, Kerr, Amy, Melody, Teresa, Moore, Faye, Morrish, Jennifer, O'Sullivan, Mary, Patel, Vanisha, Reeves, Eleanor, Robley, Richard, Sampson, Julia, Sangombe, Mirriam, Shabangu, Vusumuzi, Sheppard, Lucy, Stafford, Sam, Sutton, Peter, Taylor, Joanne, Turner, James, Velho, Rochelle, Webb, Joanne, Webber, Linda, Werpachowska, Ewa, Wilkinson-Guy, Lisa, Papageorgiou, Constandinos, Bisonoothan, Sohan, Casely, Emma, Casey, Carina, Kam, Elisa, Landers, Geraldine, Pearse, Laura, Raja, Meera, Solomon, Daniel, Stoyanov, Plamen, Talati, Chiraag, Arunachalam, Hari, Ashton, Victoria, Full, Jens, Green, Samira, Gratrix, Andrew, Abernethy, Caroline, Clarke, Abigail, Desai, Pallavbhai, Martinson, Victoria, Parekh, Ravi, Phillips, Mirain, Raina, Anju, Raut, Sarah, Smales, Chris, Smith, Neil, Ugochukwu, Ruth, Willis, Matt, Ignatova, Zhana, Gill, Stuart, Agarwal, Sunita, Barclay, Harry, Campbell, Brian, Collingborn, Maggie, Dagnan, Richard, Davies, David Steven, Dhaliwal, Randeep, Dharmarathna, Ishan, Doriaswami, Yuvraj, Evans, Hywel, Foly, Ahmed, Francis, John, Green, Tim, Hassanin, Ahmed, Havalda, Peter, Huda, Ahmad, Jones, Beryl, Khoju, Ramesh, Lackmann, Maria, Mensah, Kofi, Nwaefulu, Christopher, Schmidt, Ilona, Selvraj, Gopinath, Skarbit, Norbert, Suganthi, Obla, Zeber, Jacek, Nagaratnam, Vidhya, Mukherjee, Smitangshu, Kirby, Sue, Arnold, Glenn, Bendel, Daniel, Boynton, Claire, Carvell, James, Carver, Anthony, Clayton, Matt, Desai, Keyury, Fadhlillah, Fiqry, Georgiou, Christiana, Jayakumar, Vineetha, Jeanes, Lara, Jhugursing, Mhairi, Jose, Jasmine, Karsten, Emma, Kormendy, Flora, Lewis, Stephanie, Lloyd, Dafydd, Mautadin, Francisca, McCahill, Claire, McInerney, Susan, Morland, Laura, Morsman, Elaine, Nayee, Sunny, O'Callaghan, David, Pickford, Emily, Pratap, Bhavesh, Rao, Chandana, Shah, Alka, Smith, Stephen, Smyth, Claire, Souleimanova, Icel, Templeton, Maie, Upadhyaya, Kavita, Uren, Sophie, Voralia, Shree, Wilson, Rebecca, Kushakavsky, Vlad, Ang, Justin, Beeby, Debroah, Bell, Stephanie, Boys, Helen, Brixey, Sue, Chabo, Cathleen, Cubitt, Lynsey, Dawson, Maggie, Finch, Jenny, Lewis, Robert, Purewal, Bally, Pyae, Kaung, Ramsey, Judi, Scoones, Ben, Debreceni, Gabor, Tarin, Obaid, Zondo, Nicola, Bothma, Pieter, Carmichael, Jack, Ferreira, Teresa, Goffin, Kelly, Gurung, Sarada, Kundu, Ashish, MacLennan, Sarah, Murray, Theresa, Verma, Karan, Wilson, Graeme, Winthein, Aleinmar, Jakkampudi, Satyanarayan, Ahmed, Muneeba, Baines, Duncan, Beirnes, Charmaine, Braybrook, Chrissy, Fernandez, Olga, Gracey, Jayshree, Guha, Snehasish, Jain, Arihant, Krishnaiyan, Raghavendran, Moody, Thomas, Novaga, Jo, Tait, Frances, Tate, Jemma, Taylor, Jennifer Claire, Waldron, Molly, White, Sonia, Gupta, Anish, Botfield, Claire, Ahmed, Mohamed, Ashton, Lizzie, Bailey, Andrew Robert, Banugo, Pele, Birch, Sian, Boyle, Henry, Brown, Alice, Chen, Mark, Connolly, Lucy, Dalal, Viral, Edwards, Alexandra, Elnour, Shaima, Faccini, Timothy, Floyd, Theodore, Georgiou, Thomas, Gill, James, Hedley, Russell, Hopkins, Philip, Kumar, Roshmi, Michell, Alice, O'Shaughnessy, Rhiann Marie, O'Sullivan, Laura, Pai, Seema, Parsons, Benjamin, Peltola, Laura, Penhaligan, Beth, Place, Merate, Ramsden, Jonathan, Ratnayake, Gamunu, Shammas, Kathy, Watts, Ali, Williams, Thomas, Woodham, Valantine, Puranik, Sarang, Crooks, Jennifer, Dean, Ania, Honstvet, Chris, Hunter, Katherine, Steynberg, Sarah, Swain, Andrew, Laha, Shondipon, Bonner, Alex, Doyle, Donna, Fallon, Robert, Verlander, Mark, Williams, Alexandra, Yardley, Richard, Whiteley, Simon, Ahmed, Zaid, Child, Ossian Aukland, Black, Sheila, Calderwood, Jamie, Chapman, Andy, Collin, Robert, Dwornik, Kinga, Gallagher, Kate, Gardener, Michelle, Harrop, Gareth, Hart, Peter, Howcroft, Clare, Ilyas, Carl, Kempanna, Umakanth, Krishnamurthy, Gnanshree, Kumara, Paramesh, Loh, LI Lian, Morgan, James, Pipe, Jonathan, Sathiapillai, Anand, Stones, John, Wilby, Elizabeth, Shephard, Buzz, Agarwal, Manju, Bolonenkova, Tatyana, Dunlop, Lisa, Duraisamy, Karthick, Kelly, Jenna, Nurmi, Eveliina, Patel, Mitul, Perry, Jonathan, Prior, Charles, Reece-Anthony, Rosie, Rose, Bernd Oliver, Rowland, Katie, Van Ross, Jennifer, McNamara, Helen, Permall, Natasha, Robertson, Gillian, Siew, Sarah, Smith, Amy, Spearritt, Sue, Verma, Dipali, Williams, Rhys, Zaidi, Suhail, Clayton, Samantha, Goddin, James, Joy, Stuart, Malhotra, Vikram, Mindel, Samuel, Neilson, Zoe, Wijesuria, Shanelle Tharuka, Wilkins, Ryan, Mukherjee, Kirtida, Bradley, Andrew, Coetzee, Samantha, Crook, Alexandra, Emeakaroha, Eunice, Frenkiel, Marek, Hatton, Tom, Kamraj, Kootharajan, Long, Natalie, Manikundalam, Badrinath, Peiris, Muditha, Roche, Matthew, Sandhu, Banher, White, Nichola, Woods, Annette, Yarnold, Adam, Price, Nicolas, Ashe, Marion, Disney, Tom, Dixon, Caroline, Dodds, Emily, El-Sheika, Sarah, Hameed, Yasir, Jones, Rob, Kanal, Karan, Ranaweera, Sanjeewa, Ripoll, Simon, Russell, Nicki, Smith, Sally Anne, Tung, Swee Ang, Emerson, Bruce, Apps, Victoria, Austin, Mandy, Catchpole, Laura, Catley, Christine, Child, Jenny, Cranmer, Karen, Dawson, Lizzie, Farr, Beth, Gerrish, Helen, Gibson, Sian, Gunn, Jacqueline, Holland, Kim, James, Lorri, Jayasekera, Dushyanthi, Lester, Yvonne, Lyle, Amanda, McNeela, Fiona, Oborska, Aneta, Pennington, James, Perkins, Lauren, Robinson-Perrie, Hollie, Shillito, Lauren, Singizi, Bryan, Smolen, Susan, Topliffe, Joanne, Vowles, Ben, Whybro, Natalie, Wijunamai, Amon, Willsher, Lucy, Wootton, Joanne, Varma, Sandeep, Atkinson, Philip, Buckley, Sarah, Darian, Thelma, Dhamaratne, Sachini, Gould, Richard, Graham, Laura, Hirst, Charlotte, Peeling, Andrew, Prentice, Saxon, Rajasekar, Naresh, Rose, Alastair, Smith, Craig, Wilkinson, Kate, Stewart, Richard, Chevis, Chrissie, Ekpa, John, Greig, Nurse Sara, Hinch, Nurse Rebecca, Holder, Carole, Makris, Nikolaos, Moran, Nurse Louise, Padilla Harris, Nurse Cheryl, Scarletta, Nurse Diane, Smith, Jeanette, Sara-Beth Sutherland, Nurse, Turner, Joanne, Valentine, Peter, van Manen, Amelia, Walia, Nurse Sonia, White, Nurse Charlotte, Wilson, Georgina, Wren, Nurse Lynn, Wright, Nurse Francesca, Faulds, Matthew, Agius, Claire-Marie, Ahmed, Raheel, Ahmed, Sameer, Alva, Arjun, Bird, Rachael, Buckley, David, Calder, Verity, Clark, Caroline, Craven, Emily, Cullen, Katherine, Davis, John, Diamond-Fox, Sadie, Doherty, Helen, Dutta, Bhaskar, Fortune, Jonathan, Gatehouse, Alexandra, Gibson, Jane, Hay, David, Hillier, Steve, Hindmarch, Paul, James, Michael, Keshvara, Kiran, Kotur, Karuna, Lawley, Peter, Lochanie, Nimali, Macbeth, Lisa, Madhu, Yamuna, Marcangelo, Sam, McShane, Lesley, Morgan, Amy, Mowat, Stephen, Nelson, Joshua, O'Leary, Denis, Partridge, Jennifer, Pearson, Janaki, Poulton, Tom, Prasad, Sneha, Protheroe, Kay, Qureshi, Adnaan, Rangaswamy, Girish, Richardson, Victoria, Scott, Carmen, Smallshaw, Karen, Soliman, Abdelrahman, Soulsby, Graham, Wahed, Anna, Walker, Iain, Welch, Sarah, Wilson, Jessica, Winkley, Elaine, Womack, Jonathan, Mitchell, Joellene, O'Brien, Peter, Callaghan, Debbie, Clarke, Ruth, Foggo, Graeme, Gilmour, Danielle, Hickey, Stephen, Hii, Stephanie, Livingstone, Susan, McAtear, Megan, Meehan, Sharon, Milne, Gemma, Small, James, Williams, Dewi, Jardine, Catherine, White, Graham, Wright, David, Hunter, Katie, Fleming, Gillian, Marc Hastie, P.A.-A., Hunter, Catherine, Lockhart, Jennifer, Reid, Kirsten, Robb, Hilary, Harten, Johann, Crooks, Barbara A., Ratnasabapathy, Urmila, Staber, Manfred, Pettigrew, Tom, Varveris, Daphne, Brett, Michael, Appleton, Richard, Briskoe, Michael, Brown, Graeme, Brown, Stewart, Christie, Fiona, Coady, Guy, Cowan, Richard, Drysdale, Alice, D'Sylva, Stewart, Edgar, Paul, Finnie, Graeme, Gardner, John, Gupta, Shub, Hall, Colin, Hamilton, Jane, Hunter, Laura, Ikram, Umairali, Imrie, Gregor, Kerr, Euan, Kinsella, Michael, Kommer, Maya, Lafferty, Brian, Lochrin, Christopher, Lovejoy, Tom, Loy, Maria, MacLean, Aillison, MacPherson, David, Marshall, Cara, Mawhinney, Ruth, McAteer, Claire, McCaul, Prof James, McCusker, Michael, McDowall, Katherine, McGovern, Christopher, Mckie, Stewart, Morrison, Melanie, Mulla, Suleman, Neale, Elizabeth, Niciu, Cristina, Ong, Su Ying, O'Sullivan, Finbar, Parcell, Sophie, Ramsay, Sarah, Robson, Rebecca, Roy, Nithin, Samuel, Jasmine, Scotland, Gemma, Sharma, Natasha, Slade, Kate, Soosay, Alvin, Soulsby, Charlotte, Steuart, Lois, Stevenson, Sara, Sweeney, Laura, Tan, Kerwei, Taylor, Calum, Th'ng, Francesca, Thompson, Caroline, Wardlow, James, Watson, Martin, Williams, Robin, Woodier, James, Young, Simon, Robinson, David, Howes, Jacqueline, Berwick, Scott, Boyle, Andrew, Brown, Neil, Celnik, Anna, Coleman, Alistair, Elwkhiee, Mohamed, Fernandes, Mario, Hanlon, Katie, MacLean, Sarah, Morgan, Rhian, Edgar, Jonathan, Chapman, Roddy, Razouk, Khaled, Atrah, Ali, Bhat, Sunny, Bramma, Yvonne, Campbell, Euan, Campbell, Rachel, Cormack, Anna, Dalchow, Stephan, Dodd, Ammy, Ferguson, Laura, Ferraioli, Donna, Hynd, Moyra, Janeczko, Adam, Jeffrey, Sally, Kinsey, Tony, Kummur, Yuvaraj, McIntosh, Karen, McKenna, John, Mclaughlin, Maria, Millington, Ryhs, Murphy, Emma, Parker, Kris, Reevell, Tom, Robertson, Fiona, Shankey-Smith, Will, Slorach, Colum, Szelei, Tamas, Warnock, Geoff, Watson, Stuart, Alston, Peter, Geddes, Murray, McLellan, Stuart, Allen, Eireann, Birnie, Karen, Brown, Kirsteen, Critchley, Julia, Cullen, Margaret, Eros, Alex, Forbes, Callum, French, Helen, Hall, David, Hetherington, Jonathan, Kellner, Maximiliane, Kelly, Keith, Khaled, Hiba, Mantle, Damien, McLenachan, John, Midgley, Susan, Nimmo, Susan, Ordys, Bart, Phelan, Hannah, Roddam, Philip, Shaw, Louise, Smith, Carolyn, Steel, Elizabeth, Stuart, Robert, Sturrock, John, Waite, Alasdair, Waterson, Fraser, Watson, Hannah, Wood, Elizabeth, Schraag, Stefan, Boyd, Elizabeth, Jain, Surabhi, Matthews, Elaine, Rappai, Geejo, Barr, Catriona, Stewart, Michael, Christie, Sharon, Smith, Tim, Arrow, Kate, Austin, Pauline, Chapman, Susie, Little, Jonathan, Malein, William, Sadler, Amy, Younger, Rhona, Reavley, Caroline, Allan, Katy, Ashok, Vignesh, Boroojeny, Ayda Borjian, Cutts, John-Paul, Faulds, Fiona, Fernie, Mark, Gadre, Amit, Gately, Tom, Haddon, Richard, Induruwage, Lalani, King, Siobhan, Liddle, Sian, Mallett, Paul, Mehotra, Saurabh, Ali, Inthekab Mohammed, Morris, Rachel, Nunn, David, Ferraro, Rocio Ochoa, Padhi, Pulak, Prusack, Ewa, Quak, Edmund, Singleton, Georgina, So, Kin, Stolady, Daniel, Welch, Drew, Whitear, Michael, Wilkinson, Kathy, Wu, James, Yusaf, Alex, Kakodkar, Prashant, Ghoneim, Hoda Abou, Balliston, Sara, Dudgeon, Lucy, Idris, Muna Elsheikh, Karattuparambil, Juneenath, Nanda, Lohita, Raithatha, Bhavesh, Saad, Mahmood, Spimpolo, Jenny, Titinchi, Linda, Wilson, Julie, Winstone, Ulrika, Martindale, Sarah, Cameron, Ewen, Fenner, Lynn, Hartford-Beynon, Jake, Mooney, Iain, Mundy, Charlotte, Rhidian, Rhys, Scutt, Sophie, Todd, Anna, Graham, Fiona, Ashton, Amy, Cooper, Theresa, Davidson, Katherine, Eapen, Suresh, Crowther, Hannah, Hindmoor, Claire, McSkeane, Anna, Mostafa, Mahamed, Mudimadagu, Gururaj, Rice, Polly, Wilson, Antoinette, Henry, Garry, Hollister, Nigel, Hunt, Jane, Isaac, Amanda, Morris, David, Paredes-Guerra, Antonio, Pass, Katherine, Paul, Martin, Rait, Kiran, Rousseau, Guy, Shacklock, Emma, Skinner, Amanda, Stancombe, Lucia, Thomson, Laura, Nutt, Christopher, Wright, Geoffrey, Holland, Johnny, O'Neill, Orla, Sengottaiyans, Arun, Mitra, Atideb, Garg, Sanjeev, Adams, Jonathan, Aiyedun, Temitope, Ali, Hani, Biuk, Sahar, Bond, Bryany, Cheeseman, Michelle, Clayton, Mark, Cottam, Lisa-Jayne, Dent, Kathy, Evans, Elizabeth, Evans, Sandra, Goodhand, Hannah, Green, Karen, Hatton, Jonathan, Hill, Joanne, Hutchinson, Dorothy, Jacob, Shibu, Joseph, Renjith, MacNally, Laura, Mann, Jason, McTaggart, Virginia, Newton, Maria, Pearson, Sandra, Rayet, Jaspreet, Saunders, Rebecca, Saxena, Sandeep, Venkatesh, Hemamangala, Whotton, Nikita, Ezihe-Ejiofor, Ada, Barot, Hemangini, Bridger, Hayley, Elhallous, Shady, Ghafoor, Rizana, Manhas, Vitul, Patil, Tanmay, Sadavarte, Nitin, Tharmalingam, Bhamini, Pritchard, David, Bage, Jean, Higgin, Sarah, Krishnaier, Asokan, Neilly, Esther, Rayappu, Sean, Siaw, Chye, Songaile, Ilma, Standen, Peter, Suresh, Narayanan, Weston, William, Williams, Lynne, Yuchen, Jiang, Alagar, Ravi, Taylor, Adrian, Matata, Claire, McCrossan, Roopa, Robertson, Andrew, Shekar, Priya, Stoker, Wendy, Turnbull, Elizabeth, Watkinson, Clare, Worthy, Stephen, Yates, Bryan, Ignatov, Dancho, Davies, Matthew, Abdu, Ayman, Banni, Donata, Bowyer, Helen, Brooks, David, Buhmann, Ulf, Christenssen, Victoria, Collins, James, D'Sa, Aaron, Forde, Steven, Groves, Alice, Hosahalli, Jyothi, Hunt, Lauren, Koshy, George, Lee, Robyn, Martin, Susan, McKnight, Angus, Murphy, Piers, Nash, Henry, Nkanang, Bassey, Oracki, Pamela, Pauley, Tara, Pope, Alan, Samanta, Romit, Sgardelis, Panagiotis, Stocks, Tom, Vaitheeswaran, Sivaprakash, Verma, Priya, Vrazhalska, Madlena Ivanova, Weisz, Mike, Moppett, Iain, Arunachalam, Subha, Begum, Zorba, Bhangu, Sonia, Bown, Gemma, Chana, Avninder, Chhaniyara, Puja, Constable, Natalie, Delme, Luff, Fenner, Helen, Griffith, Oliver, Hackett, Stephen, Hewson, David, Inkpin, Kristofor, Jones, Richard, Kirkdale, Richard, Lyons, Ian, Mandal, Arnab, Mehrotra, Prerna, Murphy, Martin, Pearce-Smith, Alison, Priestley, Martin, Pyke, Shirley, Rasoli, Sonia, Sharma, Suneal, Squires, Gemma, Tsim, Peter, Veitch, Jonathan, Bond-Smith, Giles, Kay, Olivia, Siviter, Richard, Allen, John, Baxter, Linden, Beer, Sally, Bernardo, Mariana, Coles, Holly, Cudlip, Jo, Devries, Talitha, Duggleby, Phil, Espinosa, Alexis, Fitzgibbon, Karina, Galente, Joao, Georgiou, Domonique, Ghosh, Soumi, Hingley, Nicholas, Kingan, Ryan, Levett, Chris, Martinez, Jose, Mattin, Alex, Moore, Anna, Morrish, Samuel, Nash, Amy, Patel, Tejuswi, Roe, Cieron, Thwaites, Victoria, Wali, Anuj, Watterson, Dafydd, Charlotte Yates, Anna Wilson, Gimenez, Marc, Boltres, Anita, McClean, Rebecca, Papadopoullos, Sam, Teh, Elena, Webb, Stephen, Brammar, Andrew, Humphreys, Joanne, Alibhai, Moiz, Alston, Daisy, Cohen, Jolyon, Coleman, Laura, Davies, Simon, Dervin, Dionne, Dooley, Rebecca, Drummond, Andrew, Findlay, Douglas, Fleming, Naomi, Hammoud, Yazzim, Hussain, Sanniah, Irwin, Katy, Javed, Asad, Kent, Linda, Lock, Lorraine, McSorland, Denise, Meadows, Alison, Mulligan, Paula, Nichols, Wendy, O'Callaghan, Maria, Ogor, Jonathan, Poole, Joanna, Ryder, Geoffrey, Shakoor, Akmal, Teo, Wei, Minto, Gary, Adshead, Stephen, Anderson, Helen, Carpenter, Adam, Clelland, Stuart, Datar, Priya, Elloway, Esme, Holl, Matt, Hulbert, Aidan, Humphreys, James, Hyams, Ben, McAleer, Sam, Newmarch, Mary, Notman, Holly, Patrick, Abigail, Perham, Anna, Pitman, Catherine, Reed, Fiona, Sampson, Paul, Smith, Hannah, Spinney, Sam, Toms, Nina, Warrener, Tim, Girgis, Michael, Barcraft-Barnes, Helena, Camsooksai, Julie, Colvin, Carolyn, Davies, Jack, Hamilton, Alex, Linton, Fiona, Nussbaum, Greg, Patch, Sarah, Simpson, Diane, Tbaily, Lee, Bain, James, A'Court, Alicja, Barr, Emma, Blethyn, Kate, Craig, Thomas, Cutler, Hugh, Davies, Jenny, Fry, Rebecca, Hawes, Elizabeth, Jenkins, Nicholas, Knight, Martin, Restall, David, Stubbs, Matthew, Sutherland, Angus, Swarbrick, Claire, Wilson, Robin, Winwright, Paul, Hamilton, Kevin, Adams, Anne, Allen, Orlanda, Boampomaa, Marilyn, Boniface, Anna-Marie, Coe, Robert, Daniel, Amelia, Finn, Joanne, Gill, Issac, Griffiths, Huw, Hackney, Joanna, Han, Ruth, Hare, Edward, Rintoul, Edward, Shpuza, Ervin, Smith, Ruth, Staines, Nikki, Suppiah, Puvan, White, Tracey, Pearson, Darcy, Cracknell, Ben, Farrell, Nadine, Hermanowski, Jane, Hodgson, Ruth, Hoskins, Toby, Jones, Rhiannon, Keable, Sam, Rosbergen, Melissa, Giles, Julian, Dawes, Thomas, Green, Ben Eden, Pottinger, Gail, Weller, Debbie, John, John, Burgess, Lisa, Denton, Jean, Done, Alaine, Edwards, Jayne, Garrett, Theresa, Gilla, Rajesh, Griffith-Norris, Samantha, Jones, Teresa, Linklater-Jones, Barbara, Nicholas, Claire, Owen, Sara, Perkins, Charlotte, Rowlands, Tessa, Steen, Julie, Turner, Sarah, Wales, Johanna, Woolley, Carol-Ann, Hormis, Anil, Collier, Dawn, Dixon, Kathryn, Gardner, Michael, Murray, Vicky, Soar, Harry, Walker, Rachel, Yaruk, Shifa, Yarwood, Daniel, Dill-Russell, Patrick, ruthy Arumugam, Bird, Georgina, Bleasby, Nichola, Chater-Lea, Peter, Craig, Emma, Davies, George, Foxton, Julie, Gilfillan, Helen, Jerram, Keelan, Kudsk-Iversen, Søren, Lee, Rebecca, Livesy, John, Mohabir, Amanda, Morris, Katherine, Raffles, Mike, Smith, Annika, Wang, Huiqi, Craig, James, Barratt, Nina, Bates, Andy, Bokor, Norbert, Cranshaw, Julius, Dominguez, Sergio, Fraine, Annette, Green, Richard, Molloy, Katie, Penny, Christina, Pitts, Sally, Purandare, Laura, Rabbi, Taslima, Serrano, Monica, Stoycheva, Tina, Vamplew, Luke, Williams, Steve, Berry, Julian, Adams, Benita, Bean, Sarah, Burt, Karen, Devooght-Johnson, Nicki, Hammonds, Fiona, Nicholls, Tom, Rowe, Michelle, Summers, Jessica, Ward, Olivia, Wroath, Belinda, Young, Gabbie, Matthews, Cathryn, Crosbie, Gearoid, Dunn, Alex, Eddy, Sara, Garcia, Lynda, Garwood, James, Green, Adam, Gupwell, Karin, Jones, Nicola, Marriott, Suzie, Masood, Mohammad, Mazzola, Francesca, McEvoy, Evanna, Ng, Yang, Park, Linda, Pauling, Stephanie, Potter, Alison, Renton, Caroline, Samways, Adam, Sibley, Pauline, Stead, Jenny, Thorpe, Kevin, Turner, Elizabeth, Walter, Michelle, Windsor, Kevin, Jha, Rajeev, Hooker, Nicolas, Kidel, Carlos, Abayalingam, Mayavan, Boulding, Richard, Coakley, Philip, Elahi, Noor, Helder, Filipe, Hilton, James, Joshi, Kunal, Kaur, Rupinder, Male, Victoria, Naji, Saqib, Pinto, Manuel, Rajendran, Yohinee, Save, Manjeet, Smith, Megan, Spence, Emily, Tang, Sophie, Urwin, Thomas, Wittenberg, Marc, Yan, Ruoling, Williams, Colin, Ardeshna, Arjun, Bamford, Peter, Hagyard, Sarah, Johnson, Patrick, McMonagle, Martina, Morris, Hayleigh, Murphy, Thomas, Papadopoulos, Stavros, Simpson, Emma, Smith-Williams, Jonathan, Vyapury, Vin, Juneja, Rohit, Black, Ethel, Eeles, Alex, Elliot, Justine, Jhanji, Shaman, Knoetze, Reynard, McCanny, Jamie, Oswald, Lauren, Roderick, Ellie, Gunning, Paul, Siddaiah, Narendra, Balachandar, Krishna, Bhimarasetty, Chandra, Bird, Laura, Blunt, Conny, Da Silva, Egidio, Darbyshire, Mark, Echaveznaguicni, Irene, Girgis, Youssef, Goodman, Martin, Gowda, Dinkar, Gowni, Rajashekar, Hayes, Melony, Jackson, Natalie, James, Anitha, Jayapal, Rekha, Jones, Claudette, Leung, Enid, Minhas, Simran, Mubarak, Mona, Muniyappa, Sudeshkumar, Nassa, Zehrin, Neal, Tom, Nyangoni, Kudakwashe, Panchakshariah, Suresh, Philpott, Bethany, Pinner, Craig, Pygall, Daniel, Rangaiah, Manamohan, Rao, Anil, Rea, William, Shellard, Richard, Shinner, Guy, Sutherland, Tony, Tharakan, Liza, Thomas, Sue, Travasso, Betty, Venkatesh, Pyda, Wortley, Dionne, Dickinson, Matthew, Benoliel, Sophie, Doyle, Nanci, Marriott, Cheryl, Martin, Sarah, Montague, Laura, Penhaligon, Kate, Saha, Rita, Santhirapala, Ramai, Suntharanathan, Lushani, Wakeford, Nichola, Webb, Carly, Winterbottom, Toby, Jordan, Lesley, Aldridge, Matt, Bolton-Hill, Clare, Cook, Prof Tim, Kangesan, Inthu, Kettley, Laura, Mew, Edward, Penketh, James, Quinn, Eleonore, Scholes, Sam, Uppugonduri, Sreekanth Rayalu, Allen, Lara, Lyndsay Bibb, Jill Brown, Busby, Charlotte, Katherine Cheshire, Davis, Matron Beryl, Denyer, Rebecca, Julie Edwards, Gardiner, Laura, Haque, Shamim, Icke, Julia, Jones, Katherine, Donna McIntosh, Mandy Oakley, Prasad, Linda, Victoria Roberts, Smallwood, Andrew, Tammy Smith, Stelfox, Lucy, Angela Stevens, Angela Willberry, Pratt, Oliver, Chincholkar, Mahindra, Darwin, Leanne, Dearden, Joy, Flowerdew, Adele, Harrison, Louise, Hartley, Robert, Ingham, Andrea, Jones, Ben, Lee, Stephanie, Longdon, Elizabeth, Marsden, Tracy, Meats, Kirsty, Michael, Angiy, Norwood-Green, Drew, O'Loughlin, Victoria, Owen, Holly, Patel, Manju, Perez, Jane, Whiston, Jessica, Wood, Andrea, Williams, Simon, Billingham, Chloe, Clarke, Caroline, Holmwood, Xantha, Knighton, Melba, Sands, Becky, Stevens, Paul, Strong-Sheldrake, Sophia, Taylor, Matthew, Rambhatla, Mrutyunjaya Rao, Brodier, Elizabeth, Choudhry, Ozerah, Choudhry, Usman, Fitzmaurice, Bethany, Hulme, Jonathan, Kannan, Santhana, Mak, Kay Anne, Namih, Miriam, Rajdev, Bharati, Rambhatla, Swetha, Reilley, Stuart, Rice, Rebecca, Sethia, Nalini, Smith, Katy, Wakhle, Rahul, Walmsley, Chris, Wrench, Ian, Agyemang, Michael, Bell, Elizabeth, Bird, Sarah, Briscoe, James, Cruickshanks, Andy, Drinkwater, Jake, Eggleston, Sam, Elms, Henry, Hammon, Laura, Harris, Meredith, Harrison, Christopher, Hirst, Claire, Housley, Kay, Kapoor, Krish, Kibutu, Faith, Kilner, Beverly, King, Emily, Kirk, Emily, Marshall, Esme, Mazzone, Paolo, Middle, Janet, Milner, Leanne, Mitchell, Adam, Morris, Becky, Mudd, Alexandra, Needham, Matthew, Nicholas, James, Penson, Rob, Perfitt, Joel, Pinkerton, Mark, Recto, Mayeth, Rehnstrom, Maria, Riley, Catherine, Ryan, Lorna, Smith, Jennie, Strong, Samantha, Thornley, Helen, Tookey, Bethany, West, Daniel, Whitaker, John, Willcock, Sarah, Willoughby, Shay, Wright, Jane, Jones, Paul, Abbott, Riquella, Bacon, Lisa, Godden, Christopher, Howe, David, Loughlin, Angela, Moore, Helen, Passey, Samuel, Rodgers, Rebekah, Foley, Paul, Hagan, Samantha, Marcus, Simon, Gardner, Irene, Haslam, Zena, Morrison, Moira, Obeysekera, Chai, Porter, Kim, Terrett, Helen, Henning, Jeremy, Baillie, Kirsty, Buchanan, Ella, Cain, Martyn, Colling, Kerry, Duarte, Raquel, Gibb, Chris, Hynd, Ryan, Irvine, Victoria, Lyons, Rob, Middleton, Karoline, Razaque, Usman, Sheikh, Faisal, Tabiner, Tariq, Frey, Christian, Brown, Carly, Clifford, Gayle, McKee, Madeleine, Stidolph, Beverley, White, Emert, Campbell, Bridget, Mason, Sophie, Parsons, Penny, Santana-Vaz, Natasha, Stagg, Camilla, Shah, Nirav, Barnes, Veronica, Bedoes, Penny, Clarke, Jonathan, Crichton, Robert, Das, Madhurima, Davies, Paul, Farrah, Helen, Hegarty, Aoife, Howlett, Luisa, Kleine-Brueggeney, Maren, Ma, Samson, Marsh, Veronica, McAndrew, Katherine, Mellinghoff, Johannes, Oscier, Christopher, Ryan, Christine, Smee, Elizabeth, Thurairasa, Dushanthi, Goel, Vandana, Adeney, Christopher, Behl, Sanjay, Chadwick, Karen, Coleman, Thomas, Davies, Claire, Dealing, Sharon, Elwood, Jamie, Fadden, Emma, Gillies, Stella, Kennedy, Tom, Miller, Thomas, Morton, Simon, Reilly, Rebecca, Smyth, Sue, Syratt, Thomas, Welfare, Emma, Thomas, Elizabeth, Awolesi, Jennifer, Bennett, Hannah, Bradshaw, Elizabeth, Crabtree, David, Duraman, Lauren, Hughes, Kerry, Kirk, Sarah, Leonard, Dee, Stoeter, Rachel, Parrington, Simon, Andorka, Matyas, Ang, Kingsin, Bailey, Linda, Brooks, Stephanie, Chiu, Oon, Collins, Sally, Jack, James, Knight, Harry, Lynn-Smith, Anastasia, Mackenzie, Matt, Maher, Sarah, Nimako, Louise, Sangaralingham, Siva, Sanusi, Seliat, Weller, Samantha, Willard, Elizabeth, Kulkarni, Anand, Carroll, Peter, Clark, Martyn, Coulding, Martina, Denman, Elizabeth, El Habishi, Mohyman, Haywood, Patrick, McConniffe, Jane, McCormick, Jacqueline, Melachuri, Krishnakar, Philip, Evelyn, Ridgway, Stephanie, Savill, Heather, Sharif, Kamal, Vere, Joanne, Harris, Stephen, Coombs, Alex, Darch, Flora, Doble, Patricia, Foot, Jayne, Gillett, Chris, Judd, Thomas, Moss, Alison, Pawley, Corinne, Tait, Moira, Whitcher, Alison, Wood, Natalie, Montgomery, Jane, De Selincourt, Gabrielle, Fitzell, Pauline, Flower, Katie, Horan, Kathleen, Hulance, Bianca, Mercer, Pauline, Shaw, Sarah, Webber, Robin, Kakkar, Manish, Joachim, Suganthi, Aggarwal, Seetal, Ali, Amr, Ang, Boon, Bhardwa, Vishnu, Deamer, Wendy, Filby, Lorna, Fletcher, Jo, Fombon, Felix, Gawley, Shannon, Gosavi, Chandrakant, Hindle, Julia, Lawrence, Tara, Maher, Robert, Moore, Samantha, Netherton, Kimberley, Orasanu, Teodora, Poimenidi, Evangelia, Potter, Louise, Ranasinghe, Niyesa, Ribeiro, Lester, Ruth, Thoy, Butler, Susie, Sutton, Tim, Thomas, Issy, Veluvolu, Divya, Walker, Thomas, Wariyapola, Charindri, Zaheer, Lail, Luoma, Valpuri, Ferguson, Catriona, Stewart, Adrienne, Bapat, Smita, Bose, Gahan, Bugo, John, Campbell, Marta, Cervi, Elizabeth, Ciechanowicz, Sarah, Coathup, Rachel, El-Wahab, Niveen, Frith, Claire, Gill, Preea, Gray, Martin, Luoma, Astri, Mehta, Sachin, Murali, Mayur, Mussad, Asya, Parker, Laura, Patch, Josh, Perella, Paolo, Robson, Emily, Setty, Thunga, Vieira, Filipe, Wall, Josh, Witby, Jon, Zghaibe, Wael, Zhang, Sheldon, Merron, Stephen, Abano, Nenette, Barnett, Loretta, Barry, Adrian, Birks, Pamela, Brade, Judith, Butler, Adrian, Carpio, Racquel, Colclough, Viv, Eaton, Katrina, Edwards, Carol, Emery, Lisa, Finney, Kay, Gallagher, Susan, Ghatge, Satyajeet, Grocott, Jeanette, Hall, Amanda, Hardwick, Alison, Harrison, Anne, Hendy, Susan, Hiden, Joanne, James, Alex, Jeganath, Vijay, Kumar, Rahul, Lord, Stephen, Lovatt, Rachel, Lyjko, Susan, Maguire, Holly, Marsden, Mia, Mehta, Venu, Mishra, Rajeev, Mittal, Rohit, Moores, Andrew, Nalwaya, Pramod, Omeara, Matthew, Orosz, Sandor, Patel, Nehal, Pattison, Nicola, Ponce, Ida, Puttapa, Ashok, Rajamanickam, Tamilselvan, Rao, Nagaraj, Remegoso, Alda, Rhodes, Rochelle, Rooney, Angela, Sadler, Emma, Singh, Permendra, Soon, Wai, Tomlins, Simon, Umbarje, Kanchan, Vallabhaneni, Murali, Varquez, Resti, Wain, Jill, White, Sorana, Willetts, Elizabeth, Williams, Benedict, Wood, Andrew, Washington, Stephen, Anipindi, Sujata, Aston, Jennifer, Bradley-Potts, Joanne, Butler, Ian, Cunningham, Jennifer, Duncan, Alastair, Garrard, Hywel, Haslam, Daniel, Kirk, Danielle, McCormick, Richard, McEvoy, Michael, Mistry, Sara, Ormandy, Danielle, Sharp, Tracy, Song, Andrew, Williamson, Georgina, Young, Francis, Tasker, Laura, Bailey, Elizabeth, Baker, Roisin, Bamford, Amy, Bergin, Colin, Blackburn, Julia, Bodo, Kinga, Carrera, Ronald, Cooper, Lauren, Despy, Liesl, Ellis, Karen, Foster, Morgan, Garner, Sharon, Harkett, Lyndon, Harkett, Samantha, Ip, Peter, Lay, Frances, Liu, Hon Sum, Mee, Laura, Nazir, Samir, Osbourne-Wylde, Jacob, Patel, Krupali, Pope, Martin, Reeves, Emma, Sahni, Melanie, Small, Charlotte, Spooner, Brendon, Spruce, Elaine, Whitehouse, Arlo, Wharton, Nicholas, Alexander, Rachel, Ashford, Amy, Aspinall, Rebecca, Bateman, Richard, Bell, Matthew, Bennett-Britton, Jennifer, Bewley, Jeremy, Blanshard, Hannah, Bourdeaux, Christopher, Brook, Peter, Cain, Helen, Cameron, Claire, Cassells, Naomi, Chauhan, Nilesh, Clarke, Adrian, Cockroft, Melanie, Cohen, Alan, Collins, Joanna, Cominos, Timothy, Craven, Rachael, Davies, Ian, Dolling, Sarah, Dowse, Claire, Driver, Kate, Duffen, Adam, Dunn, Sarah-Jane, Earnshaw, Charlotte, Forrest, Frances, Freshwater-Turner, Dan, Gardner, Issie, Gibbins, Matthew, Gibbison, Ben, Gleeson, Suzanne, Gould, Timothy, Govier, Matthew, Gupta, Benjamin, Hadfield, John, Harvey, Nicola, Henderson, Sophia, Herbert, Lara, Hillier, James, Hood, Elizabeth, Howes, Ben, Howes, Helen, Hughes, Sian, Jackson, Kathryn, Jacobs, Toby, Jenkins, Emma, Jenkins, Ian, Johnstone, Alistair, Jones, Lydia, Jones, Rebecca, Joshi, Natasha, Kamalanathan, Kajan, Kellie, Neil, Kidd, Lawrence, Kinsella, Mike (Stephen), Knight, Thomas, Leslie, Rebecca, Linter, Stephen, Lovell, Tim, Martin, Matthew, McHugh, Ursula, McIndoe, Andrew, McKendry, Rachel, Middleditch, Alexander, Miles, Edward, Milne, Lesley, Molyneux, Mat, Muchatuta, Neil, Murphy, Ruth, O'Higgins, Fran, Oglesby, Kieran, Pachucki, Marcin, Paoloni, Claudia, Patel, Nishita, Patton, Catherine (Katie), Paulich, Skylar, Pearson, Annabel, Pickering, Anthony, Platt, Martin, Pope, Charlie, Pryn, Steve, Ranjan, Amit, Rasburn, Neil, Ray, Andrew, Rivers, Jonathan, Rooney, Kieron, Ryder, Ian, Sanders, Sarah, Sasi-Kumar, Kavita, Scott, Liam, Scrutton, Mark, Searles, Chloe, Self, James, Shah, Sanjoy, Sheils, Mark, Shipway, Toby, Short, Heather, Simmonds, Lauren, Smith, Daniela, Soodan, Anjali, Steeds, Charlotte, Sweet, Katie, Syme, Phoebe, Thomas, Matthew J., Tomkins, Sally, Underwood, Susan, Wagstaff, Adrian, Watson, Paul, Webster, Denise, Welham, Katie, Whaley, Anne, Williams, Helen, Wilson, Hannah, Winton, Anoushka, Woodward, Thomas, Worthington, Jeanie, Younie, Stuart, Bradbury, Carol, Auldin, Mohammad, Bosworth, Kate, Choksey, Falguni, Dudkowsky, Bernice, Elton, John, Evans, Gail, Grove, Charlotte, Ingram, Clare, Kelly, Andrew, Lax, Peter, Lynes, Elena, Madden, George, Mistry, Vinesh, Molitor, Timothy, Morgan, Catherine, Morris, Natalie, Pallister, Emily, Patel, Pooja, Ragothaman, Vijay, Ramm, Katie, Robinson, Ben, Sharma, Meghna, Shuttleworth, Daniel, Vaidyanath, Chandrashekhar, Warren, Jen, Wong, Rachel, Lau, Gary, Conway, Hannah, Majeed, Adeel, Parmar, Jaina, Rana, Meenal, Yusuff, Hakeem, Rimmer, Corinne, Abdelrhamen, Wael, Allison, Kathryn, Burns, Karen, Cahill, Nichola, Clark, Jon, Donaldson, Hannah, Heseltine, Nick, Mackenzie, Nicola, McArthur, Carol, Moreland, Neil, Shohelly, Sharmin, Thatcher, Hilary, Tran, Steven, Walker, Catriona, Al-Rawi, Samar, Wakatsuki, Mai, Aarvold, Alice, Addy, Melissa, Ashfield, Georgina, Beauchamp, Nigel, Belcher, Alex, Bennett, Tom, Burgess, Victoria, Burton, Andy, Campbell, Matthew, Cruikshank, Ross, Cumpstey, Andy, Davies, Rhys, Ford, Chris, Ford, Renee, Hawkins, Lesley, Hendra, Tim, Huttley, Thomas, Jolly, Erica, Kalcheva, Nevena, Kennedy, Charlie, Lees, Jessica, Lowe, Richard, Martindale, Tim, McCormick, Sarah, McPhee, Hannah, Millinchamp, Fran, Muddanyake, Rahul, Osorio, Eduardo, Patel, Kiran, Pestell, Samuel, Phillips, Steve, Plumb, Jamie, Pratt, Thomas, Quartermain, Bert, Reeves, Rebecca, Robin, Sophie, Scully, Thecla, Sehgal, Anamika, Seifalan, Said, Shuttleworth, Suzanne, Siddique, Omar, Sleap, Esme, Smith, Victoria, Snooks, Richard, Solanki, Virginia, Timmons, Christina, Trimble, Alice, Tunney, Doug, Walker, Kat, Wee, Naomi, Wigley, James, Wilkins, Huw, Wong, Hanna, Wood, Laura, Yogya, Dinithi, Young, Ruth, Shanbhag, Sumant, Ameer, Farrukh, Finnity, Jonathan, Haddock, James, Hunt, Alex, Kuravi, Aditya, Lenehen, Fionnuala, McOwat, Lindsay, Naqvi, Asad, Richardson, Lisa, Siddons, Victoria, Charters, Seema, Jumani, Deepa, Bradley, Peter, Bubb, Laura, Chan, Rebekah, Connell, Lynne, Crone, Rachel, Davis, Hannah, Defeyter, Pascal, Evans, Alison, Howard, Ramdas, Prady, Helena, Rogers, Natalie, Roughley, Lindsay, Whittle, Helen, Zeinali, Daniel, Cherian, Vinanti, Latif, Muhammad Usman, Bajwa, Maqsood, Guy, Jonny, Guz, Krzysztos, Iftikhar, Nauman, Iwanicka, Beata, Khan, Mujeeb, Love, Anna-Marie, Montgomery, Celia, Mulvany, Stephen, O'Kane, Emma, O'Kane, Sinead, Siddiqui, Mansoor, Small, Cathal, Subhani, Shaik, Dana, Emily, Kennedy, Richard, Amey, Isobel, Ashton, Hilary, Baird, Yolanda, Bushell, Caroline, Chadbourn, Indra, Cohen, Merle, Finlay, Emma, Gilbert, Jeanette, Helm, David, Lewis, Carla, Macallan, Jenny, Margalef, Jordi, Martins, Nic, Metiu, Gabi, Moore, Sally, Rose, Hannah, Standley, Tom, Page, Valerie, Bakonyi, Tomas, Ben-Nathan, Simon, Claridge, Melanie, Evans, Jackie, Gardiner, Harriet, Kantsedikas, Ilya, Lachana, Ann, Makker, Ratna, Markwell, Karen, Merrill, Colin, Mukerjee, Prasun, O'Donohoe, Lynn, Oglesby, Fiona, Osbourne, Laura, Parker, Beena, Passaro, Emelia, Russell, Katherine, Shah, Sneh, Sundayi, Saul, Walker, Elaine, Zhao, Xiao, Hosdurga, Guru, Cotterill, Donna, Crowther, Nicola, Dymond, Harvey, Ratcliffe-Law, Thomas, Saunders, Glenn, Saunders, Thomas, Gopal, Vijayakumar, Ahmed, Sajjad, Ali, Abdalla, Crawford, Sarah, De'Ath, Clare, Humphreys, Sally, Swanevelder, Carin, Yap, Yeng, Silk, Jane, Adeniba, Rashidat, Armstrong, Richard, Egole, Osi, Fan, Karen, Gilbert, Kayleigh, Gould, Laura, Hickman, John, Long, Fei, Pahary, Sheik, Reichman, Michelle, Simpson, Kathryn, Singaravelu, Suresh, Ahmed, Dabeeruddeen, Brailsford, Fiona, Bridge, Laura, Collis, Lauren, Jacob, Reni, Jones, Cathy, Kirrage, Amanda, Lowe, Jessica, Mullen, Joanne, Prenter, Andrew, Sarao, Sarbpreet, Sharpley, David, Wankhade, Kavita, Persad, Cindy, Burtenshaw, Andrew, Blyth, Kate, Corcoran, Felicity, Davis, Caroline, Dolan, Rachel, Hussain, Nageena, Pearson, Emma, Pierson, Anna, Poyntz, Victoria, Thrush, Jessica, Wollaston, Alex, Wollaston, Julie, Clements, Paul, Biswas, Arindam, Clayton, Sarah, Clayton, Thomas, Cochrane, Naomi, Duell, Kirsty, Evans, James, Gaskell, Mark, Heaton, Dianne, Heaton, Linzi, Hill, Claire, Killen, Ruth, Latham, Sandra, McIntosh, Gemma, Moore, Chris, Parkinson, Val, Pemberton, Nicola, Robinson, Matthew, Sawyer, Alastair, Sykes, Isabelle, Taylor, Tracey, Tierney, Caroline, van de Snepscheut-Jones, Katja, Wade, Emily, Wahid, Mohammed, Wang, Henry, Williams, Claire, Wu, Dominic, Yadagiri, Manjula, Zabauski, Dmitry, Troth, Laura, Andrews, Eleanor, Bains, Ranjit, Beard, Laura, Birch, Janine, Britton, Rachael, Salmon, Mike, Vassell, Elizabeth, Kubisz-Pudelko, Agnieszka, Allen, Jamie, Allison, Joanna, Baird, Andrew, Gregory, Rob, Luckhurst, Hannah, Mairs, Rebecca, Marshall, Ben, Pippard, Lucy, Pitt-Kerby, Tressy, Savva, Andrew, Walkden, Graham, Weegenaar, Celly, Chandler, Ben, Kanakaraj, Muthuraj, Chamberlain, Andy, Dyer, Simon, Elliott, Kerry, Forshaw, Greg, Furness, Rosie, Gibson, Andy, Howe, Laura, Kent, Sarah, Rodgers, Alicia, Straughan, Ben, Temlett, Emma, Whitwell, John, Wong, D.J.N., Harris, S.K., and Moonesinghe, S.R.

Published
2018
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239. The Why, What, and How of CDS Audit Trail Review

Author

McDowall, R.D.

Subjects
Chemistry
Abstract

Audit trail review is a key component of the second person review of chromatographic analysis for compliance with regulations, procedures, and analytical science. We focus on what the review of [...]

Published
2020

240. Nightmare on Lab Street--Are You Haunted by Hybrid Systems?

Author

McDowall, R.D.

Subjects
Chemistry
Abstract

Hybrid CDS applications are pervasive in analytical laboratories. However, they are the worst possible solution because you must synchronize and manage two incompatible data formats: paper printouts and electronic records. [...]

Published
2020

241. Loss of the Bacterial Flagellar Motor Switch Complex upon Cell Lysis

Author

Mohammed Kaplan, Elitza I. Tocheva, Ariane Briegel, Megan J. Dobro, Yi-Wei Chang, Poorna Subramanian, Alasdair W. McDowall, Morgan Beeby, and Grant J. Jensen

Subjects
Microbiology, QR1-502
Abstract

The bacterial flagellar motor is a complex macromolecular machine whose function and self-assembly present a fascinating puzzle for structural biologists. Here, we report that in diverse bacterial species, cell lysis leads to loss of the cytoplasmic switch complex and associated ATPase before other components of the motor.

Published
2021
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242. Human protein-protein interaction prediction

Author

McDowall, Mark and Barton, Geoffrey

Subjects
572.6, Bioinformatics, Protein-Protein Interaction, Human, Network Analysis, PIPs
Abstract

Protein-protein interactions are essential for the survival of all living cells, allowing for processes such as cell signalling, metabolism and cell division to occur. Yet in humans there are only >38k annotated interactions of an interactome estimated to range between 150k to 600k interactions and out of a potential 300M protein pairs.Experimental methods to define the human interactome generate high quality results, but are expensive and slow. Computational methods play an important role to fill the gap.To further this goal, the prediction of human protein-protein interactions was investigated by the development of new predictive modules and the analysis of diverse datasets within the framework of the previously established PIPs protein-protein interaction predictor Scott and Barton 2007. New features considered include the semantic similarity of Gene Ontology annotating terms, clustering of interaction networks, primary sequences and gene co-expression. Integrating the new features in a naive Bayesian manner as part of the PIPs 2 predictor resulted in two sets of predictions. With a conservative threshold, the union of both sets is >300k predicted human interactions with an intersect of >94k interactions, of which a subset have been experimentally validated. The PIPs 2 predictor is also capable of making predictions in organisms that have no annotated interactions. This is achieved by training the PIPs 2 predictor based on a set of evidence and annotated interactions in another organism resulting in a ranking of protein pairs in the original organism of interest. Such an approach allows for predictions to be made across the whole proteome of poorly characterised organism, rather than being limited only to proteins with known orthologues. The work described here has increased the coverage of the human interactome and introduced a method to predict interactions in organisms that have previously had limited or no annotated interactions. The thesis aims to provide a stepping stone towards the completion of the human interactome and a way of predicting interactions in organisms that have been less well studied, but are often clinically relevant.

Published
2011

243. Do You Understand the FDA's Updated Approach to Pre-Approval Inspections?

Author

McDowall, R D

Subjects
United States. Food and Drug Administration -- International economic relations, Able Laboratories Inc. -- International economic relations, Drug approval, Pharmaceutical industry -- International economic relations, Chemistry, Engineering and manufacturing industries, Physics, Science and technology
Abstract

The U.S. Food and Drug Administration (FDA) recently issued an updated version of its Compliance Policy Guide for Pre-Approval Inspections (PAI). If you are not aware of the impact on analytical procedures and data included in regulatory submissions, then please read on., One of the U.S. FDA's Compliance Program Guides (CPG), numbered 7346.832, is entitled Pre-Approval Inspections. This document is used to guide and inform inspectors conducting this type of inspection before [...]

Published
2019

244. Data Quality and Data Integrity Are the Same, Right? Wrong! Do the terms data integrity and data quality mean the same? As 'maybe' and 'yes' are not the correct answers, we will explore the differences between the two terms, and how data integrity is a key part of data quality

Author

McDowall, R.D.

Subjects
United States. Food and Drug Administration -- Ethical aspects, Howmet Aerospace Inc. -- Ethical aspects, Independent regulatory commissions, Chemistry, Engineering and manufacturing industries, Physics, Science and technology
Abstract

Data integrity has been the subject of many 'Focus on Quality' columns over the past few years (1-5). However, we have never mentioned, let alone discussed, data quality. In many [...]

Published
2019

245. Data Integrity Focus, Part IX: Understanding Data Integrity Metrics for Chromatography: One area of a data integrity program is the establishment of metrics for monitoring data integrity. Here, we will look at the regulatory expectations and discuss their practical implementation in a regulated chromatography laboratory

Author

McDowall, R.D.

Subjects
Chemistry
Abstract

This is the ninth article in a series on data integrity focus in the regulated chromatography laboratory (1-8), and there was also a six-part series on data integrity in 2018 [...]

Published
2019

246. Analysis of FDA Infrared 483 Citations: Have You a Data Integrity Problem? Analysis of 47 FDA Form 483 observations and warning letters for infrared spectrometers reveals a spectrum of data integrity problems and a lack of laboratory procedures for the technique. Is this your laboratory?

Author

Smith, P.A. and McDowall, R.D.

Subjects
United States. Food and Drug Administration -- Ethical aspects, Able Laboratories Inc. -- Ethical aspects, Data centers -- Ethical aspects, Pharmaceutical industry -- Ethical aspects, Compliance audits, Information management, Spectrometers, Chemistry, Engineering and manufacturing industries, Physics, Science and technology
Abstract

Since the Able Laboratories data falsification case in 2005 (1), there has been a regulatory focus on the lack of data integrity with chromatography data systems. This scrutiny has focused [...]

Published
2019

247. Data Integrity Focus, Part VIII: What is Good Documentation Practice (GDocP)? EU GMP Chapter 4 and United States Pharmacopoeia (USP) Chapter <1029> on Good Documentation Guidelines are two sources for good documentation practice (GDocP). Are they similar, or are they complementary, and should we consider any other sources of advice?

Author

McDowall, R.D.

Subjects
Chemistry
Abstract

In the first seven parts of 'Data Integrity Focus,' we have focused on a few elements of data integrity (1-7). In this part, we will look at an essential requirement [...]

Published
2019

248. Data Integrity Focus, Part VII: A Data Life Cycle for Chromatography: Several regulatory data integrity guidance documents require that laboratories understand the data life cycle of their processes. Vague definitions of a data life cycle are presented in these documents. What is a practical interpretation?

Author

McDowall, R.D.

Subjects
Chemistry
Abstract

This is the seventh in a series of articles addressing data integrity. The first article presented and discussed a Data Integrity Model to present the scope of data integrity and [...]

Published
2019

249. Data Integrity Focus, Part VI: Who Is Looking Over Your Shoulder? Quality Oversight for Data Integrity: The focus of this series so far has been on the chromatography laboratory. In this last part, we look at the roles and responsibilities of quality assurance staff for ensuring data integrity in an organization

Author

McDowall, R.D.

Subjects
Chemistry
Abstract

This is the sixth article in the data integrity focus series. The first article presented and discussed a data integrity model to present the scope of data integrity and a [...]

Published
2019

250. How Can USP <1058> Help Data Integrity? The updated version of United States Pharmacopoeia (USP) <1058> on analytical instrument qualification (AIQ) merges instrument qualification and computer validation into a single integrated process. We need to understand how the new version of USP <1058> can help ensure data integrity of a chromatography data system (CDS)

Author

McDowall, R.D.

Subjects
Chemistry
Abstract

This is the fifth Data Integrity Focus article in a six-part series. The first presented and discussed a data integrity model to present the scope of data integrity and data [...]

Published
2019

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