Thin Film Based Biosensors for Point of Care Diagnosis of Cortisol

This dissertation explores the different ways to create thin film-based biosensors that are capable of rapid and label-free detection of cortisol, a non-specific biomarker closely linked to stress, within the physiological range of 10pM to 10 uM. Increased cortisol levels have been linked to stress-related diseases, such as chronic fatigue syndrome, irritable bowel syndrome, and post-traumatic stress disorder. It also plays a role in the suppression of the immune system as well. Therefore, accurate measurement of cortisol in saliva, serum, plasma, urine, sweat, and hair, is clinically significance to predict physical and mental diseases. In this dissertation, thin film-based electrochemical immunosensors were fabricated using a self-assembled monolayer (SAM) functionalized by cortisol specific antibodies to detect cortisol at 10 pM level sensitivities in the presence of a redox probe. The fabricated electrochemical cortisol immunosensors were able to detect cortisol in human saliva samples and the outcomes were validated using the standard Enzyme Linked Immuno Sorbent Assay (ELISA) technique. With the aim of improving signal amplification and label-free cortisol detection, copper nanoparticles were incorporated on screen-printed carbon electrodes (SPCE) for the fabrication of electrochemical cortisol immunosensor. This SPCE-based sensor showed a sensitivity of 4.21µA/M and the limit of detection 6.6nM. Both the SAM and SPCE-based immunosensors were not thermally stable due to the instability of antibodies at room temperature. To address this issue, an antibody-free immunosensor was fabricated. Molecular Imprinted Polymer (MIP) was used to template the target cortisol molecule. The MIP-based sensing platform was prepared using polypyrrole, a thermally stable conducting polymer. The conductivity of the polymer ensured good electrical performance. The polypyrrole-based MIP was synthesized by means of electrochemical polymerization and was used to detect cortisol within the physiological range at room temperature. MIP-based sensors exhibited the detection limit of 1 pM, and were cost-effective, easy to fabricate, temperature stable, and reusable. The sensing performance of the resulting sensors was comparable to those of commercially available technologies, such as ELISA. Aiming to perform cortisol sensing at point-of-care (POC), an Extended Gate Field Effect Transistor (EGFET) was integrated with a developed MIP cortisol sensor. The as developed MIP-EGFET sensor was used to detect the cortisol concentration in the range of 1 pM to 100 nM. A few of the major advantages of the developed sensor are its ability to provide a direct readout and simpler electronic systems, which are necessary for miniaturized Point of Care devices

Training in temporal bone surgery: A review of current practices

The temporal bone consists of complex anatomy, and the presence of various vital structures in close proximity makes the surgery of temporal bone highly challenging. Such a surgery requires years of training under the direct observation of trainers. Over the course of history, different training models have been adopted by experts to help train the young surgeons in this complex procedure. Cadaveric dissections of the temporal bone remains the gold standard in training of residents as the cadavers present the actual anatomical details which the surgeons encounter while operating on patients. However, due to scarcity of available cadavers, their one-time-only usage and high cost of involved in such trainings, experts have developed newer techniques of training, including three-dimensional reconstruction models and virtual reality simulators. Most of the literature on simulation in training of residents focuses on anatomical understanding and development of the surgical technique. There has been significant improvement in these techniques over time. With the addition of haptic feedback in the newer virtual simulation models, simulation has edged closer to basic modules of temporal bone dissection. the current review article was planned to have an overview of the different techniques in detail that are currently being in used

The global burden of cancer attributable to risk factors, 2010-19 : a systematic analysis for the Global Burden of Disease Study 2019

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe

The IDENTIFY study: the investigation and detection of urological neoplasia in patients referred with suspected urinary tract cancer - a multicentre observational study

Objective To evaluate the contemporary prevalence of urinary tract cancer (bladder cancer, upper tract urothelial cancer [UTUC] and renal cancer) in patients referred to secondary care with haematuria, adjusted for established patient risk markers and geographical variation. Patients and Methods This was an international multicentre prospective observational study. We included patients aged ≥16 years, referred to secondary care with suspected urinary tract cancer. Patients with a known or previous urological malignancy were excluded. We estimated the prevalence of bladder cancer, UTUC, renal cancer and prostate cancer; stratified by age, type of haematuria, sex, and smoking. We used a multivariable mixed-effects logistic regression to adjust cancer prevalence for age, type of haematuria, sex, smoking, hospitals, and countries. Results Of the 11 059 patients assessed for eligibility, 10 896 were included from 110 hospitals across 26 countries. The overall adjusted cancer prevalence (n = 2257) was 28.2% (95% confidence interval [CI] 22.3–34.1), bladder cancer (n = 1951) 24.7% (95% CI 19.1–30.2), UTUC (n = 128) 1.14% (95% CI 0.77–1.52), renal cancer (n = 107) 1.05% (95% CI 0.80–1.29), and prostate cancer (n = 124) 1.75% (95% CI 1.32–2.18). The odds ratios for patient risk markers in the model for all cancers were: age 1.04 (95% CI 1.03–1.05; P < 0.001), visible haematuria 3.47 (95% CI 2.90–4.15; P < 0.001), male sex 1.30 (95% CI 1.14–1.50; P < 0.001), and smoking 2.70 (95% CI 2.30–3.18; P < 0.001). Conclusions A better understanding of cancer prevalence across an international population is required to inform clinical guidelines. We are the first to report urinary tract cancer prevalence across an international population in patients referred to secondary care, adjusted for patient risk markers and geographical variation. Bladder cancer was the most prevalent disease. Visible haematuria was the strongest predictor for urinary tract cancer

Kinetically controlled growth of gallium on stepped Si (553) surface

Kinetically controlled growth of gallium (Ga) metal has been reported on high index stepped Si (553) surface and its thermal stability with various novel superstructural phases has been analyzed. Auger electron spectroscopy studies revealed that the adsorption of Ga at room temperature (RT) follows Frank-van der Merwe (FM) growth mode while for higher substrate temperature, Ga adsorption remains within the submonolayer range. Thermal desorption and low energy electron diffraction studies investigated the formation of thermally stable Ga-islands and the various Ga induced superstructural phase on Si (553). During room temperature adsorption, (1 1 1)7 x 7 facet of Si (553) reconstructed into (1 1 1)6 x 6 facet while during desorption process, stable (1 1 1)6 x 6 and (1 1 1)root 3 x root 3-R30 degrees surface reconstructions has been observe

Enzymatic Surface Modification of Polyacrylonitrile and Its Copolymers: Effects of Polymer Surface Area and Protein Adsorption

Polyacrylonitrile (PAN) is a widely used polymer in the textile industry. PAN contains cyano groups on the surface due to which it possess low hydrophilicity and limits its application. Thus, there is a need to modify the functional groups on the surface of PAN for its industrial demand to improve moisture uptake, dyeability With ionic dyes, without affecting mechanical properties. A number of strategies such as chemical treatment, plasma treatment, enzymatic treatment etc. have been applied for the surface modification of polymer but enzymatic treatment are advantageous over plasma treatment and chemical treatment. In enzymatic treatment, reaction is limited to polymer surface only, and provides milder condition with less damage to polymer. In present study, it was found that enzyme system of Amycolatopsis sp.IITR215 was effective enzyme system for modification of surface nitrile groups of polyacrylonitrile. PAN powder was treated with the cell free extract of Amycolatopsis sp.IITR215 and it was found that the nitrile metabolizing enzymes of this strain were efficiently able to transform -CN to -COOH groups present on the surfaces of PAN powder. The formation of carboxyl group was quantified by ammonia released and dye binding assay. Further, confirmation of carboxyl group on polymer was done by FTIR and XPS. This study indicates that, specific adsorption of enzyme probably plays an important role in the enzymatic surface modification of polymer

Development of a Multifunctional Intelligent Elbow Brace (MIEB) Using a Knitted Textile Strain Sensor

Passive smart textiles are the textile structures that can sense stimuli, which may come from mechanical, thermal, electrical, or chemical sources. Textile strain sensors are smart textiles products in which the sensor’s resistance changes with applied strain. This study consists in the development of a textile strain sensor and its application on a Multifunctional Intelligent Elbow Brace (MIEB). The hand-knitted sensor was developed using knitting needles. The material used for this sensor was conductive yarn and lycra. The sensor developed was subjected to a stretch recovery test using a universal testing machine,, and the electrical resistance was measured using an electrical multimeter. The sensor developed has good sensing ability against cyclic loading and unloading at a 5%, 20%, 35% strain level. After testing, the sensor was stitched on an elbow brace to develop an MIEB. This study involved the best economical method for measuring the bowling angle of the player using this MIEB without any need for a biomechanical test, which is very expensive. This MIEB can also be used for rehabilitation purposes and for monitoring joint movement

The burden of metabolic risk factors in North Africa and the Middle East, 1990–2019: findings from the Global Burden of Disease StudyResearch in context

Summary: Background: The objective of this study is to investigate the trends of exposure and burden attributable to the four main metabolic risk factors, including high systolic blood pressure (SBP), high fasting plasma glucose (FPG), high body-mass index (BMI), and high low-density lipoproteins cholesterol (LDL) in North Africa and the Middle East from 1990 to 2019. Methods: The data were retrieved from Global Burden of Disease Study 2019. Summary exposure value (SEV) was used for risk factor exposure. Burden attributable to each risk factor was incorporated in the population attributable fraction to estimate the total attributable deaths and disability-adjusted life-years (DALYs). Findings: While age-standardized death rate (ASDR) attributable to high-LDL and high-SBP decreased by 26.5% (18.6–35.2) and 23.4% (15.9–31.5) over 1990–2019, respectively, high-BMI with 5.1% (−9.0–25.9) and high-FPG with 21.4% (7.0–37.4) change, grew in ASDR. Moreover, age-standardized DALY rate attributed to high-LDL and high-SBP declined by 30.2% (20.9–39.0) and 25.2% (16.8–33.9), respectively. The attributable age-standardized DALY rate of high-BMI with 8.3% (−6.5–28.8) and high-FPG with 27.0% (14.3–40.8) increase, had a growing trend. Age-standardized SEVs of high-FPG, high-BMI, high-SBP, and high-LDL increased by 92.4% (82.8–103.3), 76.0% (58.9–99.3), 10.4% (3.8–18.0), and 5.5% (4.3–7.1), respectively. Interpretation: The burden attributed to high-SBP and high-LDL decreased during the 1990–2019 period in the region, while the attributable burden of high-FPG and high-BMI increased. Alarmingly, exposure to all four risk factors increased in the past three decades. There has been significant heterogeneity among the countries in the region regarding the trends of exposure and attributable burden. Urgent action is required at the individual, community, and national levels in terms of introducing effective strategies for prevention and treatment that account for local and socioeconomic factors. Funding: Bill &amp; Melinda Gates Foundation

Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study

377siBackground: Patient factors associated with urinary tract cancer can be used to risk stratify patients referred with haematuria, prioritising those with a higher risk of cancer for prompt investigation. Objective: To develop a prediction model for urinary tract cancer in patients referred with haematuria. Design, setting, and participants: A prospective observational study was conducted in 10 282 patients from 110 hospitals across 26 countries, aged ≥16 yr and referred to secondary care with haematuria. Patients with a known or previous urological malignancy were excluded. Outcome measurements and statistical analysis: The primary outcomes were the presence or absence of urinary tract cancer (bladder cancer, upper tract urothelial cancer [UTUC], and renal cancer). Mixed-effect multivariable logistic regression was performed with site and country as random effects and clinically important patient-level candidate predictors, chosen a priori, as fixed effects. Predictors were selected primarily using clinical reasoning, in addition to backward stepwise selection. Calibration and discrimination were calculated, and bootstrap validation was performed to calculate optimism. Results and limitations: The unadjusted prevalence was 17.2% (n = 1763) for bladder cancer, 1.20% (n = 123) for UTUC, and 1.00% (n = 103) for renal cancer. The final model included predictors of increased risk (visible haematuria, age, smoking history, male sex, and family history) and reduced risk (previous haematuria investigations, urinary tract infection, dysuria/suprapubic pain, anticoagulation, catheter use, and previous pelvic radiotherapy). The area under the receiver operating characteristic curve of the final model was 0.86 (95% confidence interval 0.85-0.87). The model is limited to patients without previous urological malignancy. Conclusions: This cancer prediction model is the first to consider established and novel urinary tract cancer diagnostic markers. It can be used in secondary care for risk stratifying patients and aid the clinician's decision-making process in prioritising patients for investigation. Patient summary: We have developed a tool that uses a person's characteristics to determine the risk of cancer if that person develops blood in the urine (haematuria). This can be used to help prioritise patients for further investigation.noneopenKhadhouri, Sinan; Gallagher, Kevin M.; MacKenzie, Kenneth R.; Shah, Taimur T.; Gao, Chuanyu; Moore, Sacha; Zimmermann, Eleanor F.; Edison, Eric; Jefferies, Matthew; Nambiar, Arjun; Anbarasan, Thineskrishna; Mannas, Miles P.; Lee, Taeweon; Marra, Giancarlo; Gómez Rivas, Juan; Marcq, Gautier; Assmus, Mark A.; Uçar, Taha; Claps, Francesco; Boltri, Matteo; La Montagna, Giuseppe; Burnhope, Tara; Nkwam, Nkwam; Austin, Tomas; Boxall, Nicholas E.; Downey, Alison P.; Sukhu, Troy A.; Antón-Juanilla, Marta; Rai, Sonpreet; Chin, Yew-Fung; Moore, Madeline; Drake, Tamsin; Green, James S.A.; Goulao, Beatriz; MacLennan, Graeme; Nielsen, Matthew; McGrath, John S.; Kasivisvanathan, Veeru; Chaudry, Aasem; Sharma, Abhishek; Bennett, Adam; Ahmad, Adnan; Abroaf, Ahmed; Suliman, Ahmed Musa; Lloyd, Aimee; McKay, Alastair; Wong, Albert; Silva, Alberto; Schneider, Alexandre; MacKay, Alison; Knight, Allen; Grigorakis, Alkiviadis; Bdesha, Amar; Nagle, Amy; Cebola, Ana; Dhanasekaran, Ananda Kumar; Kondža, Andraž; Barcelos, André; Galosi, Andrea Benedetto; Ebur, Andrea; Minervini, Andrea; Russell, Andrew; Webb, Andrew; de Jalón, Ángel García; Desai, Ankit; Czech, Anna Katarzyna; Mainwaring, Anna; Adimonye, Anthony; Das, Arighno; Figueiredo, Arnaldo; Villers, Arnauld; Leminski, Artur; Chippagiri, Arvinda; Lal, Asim Ahmed; Yıldırım, Asıf; Voulgaris, Athanasios Marios; Uzan, Audrey; Oo, Aye Moh Moh; Younis, Ayman; Zelhof, Bachar; Mukhtar, Bashir; Ayres, Ben; Challacombe, Ben; Sherwood, Benedict; Ristau, Benjamin; Lai, Billy; Nellensteijn, Brechtje; Schreiter, Brielle; Trombetta, Carlo; Dowling, Catherine; Hobbs, Catherine; Benitez, Cayo Augusto Estigarribia; Lebacle, Cédric; Ho, Cherrie Wing Yin; Ng, Chi-Fai; Mount, Chloe; Lam, Chon Meng; Blick, Chris; Brown, Christian; Gallegos, Christopher; Higgs, Claire; Browne, Clíodhna; McCann, Conor; Plaza Alonso, Cristina; Beder, Daniel; Cohen, Daniel; Gordon, Daniel; Wilby, Daniel; Gordon, Danny; Hrouda, David; Lau, David Hua Wu; Karsza, Dávid; Mak, David; Martin-Way, David; Suthaharan, Denula; Patel, Dhruv; Carrion, Diego M; Nyanhongo, Donald; Bass, Edward; Mains, Edward; Chau, Edwin; Canelon Castillo, Elba; Day, Elizabeth; Desouky, Elsayed; Gaines, Emily; Papworth, Emma; Yuruk, Emrah; Kilic, Enes; Dinneen, Eoin; Palagonia, Erika; Xylinas, Evanguelos; Khawaja, Faizan; Cimarra, Fernando; Bardet, Florian; Kum, Francesca; Peters, Francesca; Kovács, Gábor; Tanasescu, Geroge; Hellawell, Giles; Tasso, Giovanni; Lam, Gitte; La Montagna, Giuseppe; Pizzuto, Giuseppe; Lenart, Gordan; MacLennan, Graeme; Özgür, Günal; Bi, Hai; Lyons, Hannah; Warren, Hannah; Ahmed, Hashim; Simpson, Helen; Burden, Helena; Gresty, Helena; Rios Pita, Hernado; Clarke, Holly; Serag, Hosam; Kynaston, Howard; Crawford-Smith, Hugh; Mostafid, Hugh; Otaola-Arca, Hugo; Koo, Hui Fen; Ibrahim, Ibrahim; Ouzaid, Idir; Puche-Sanz, Ignacio; Tomašković, Igor; Tinay, Ilker; Sahibzada, Iqbal; Thangasamy, Isaac; Cadena, Iván Revelo; Irani, Jacques; Udzik, Jakub; Brittain, James; Catto, James; Green, James; Tweedle, James; Hernando, Jamie Borrego; Leask, Jamie; Kalsi, Jas; Frankel, Jason; Toniolo, Jason; Raman, Jay D.; Courcier, Jean; Kumaradeevan, Jeevan; Clark, Jennifer; Jones, Jennifer; Teoh, Jeremy Yuen-Chun; Iacovou, John; Kelly, John; Selph, John P.; Aning, Jonathan; Deeks, Jon; Cobley, Jonathan; Olivier, Jonathan; Maw, Jonny; Herranz-Yagüe, José Antonio; Nolazco, Jose Ignacio; Cózar-Olmo, Jose Manuel; Bagley, Joseph; Jelski, Joseph; Norris, Joseph; Testa, Joseph; Meeks, Joshua; Hernandez, Juan; Vásquez, Juan Luis; Randhawa, Karen; Dhera, Karishma; Gronostaj, Katarzyna; Houlton, Kathleen; Lehman, Kathleen; Gillams, Kathryn; Adasonla, Kelvin; Brown, Kevin; Murtagh, Kevin; Mistry, Kiki; Davenport, Kim; Kitamura, Kosuke; Derbyshire, Laura; Clarke, Laurence; Morton, Lawrie; Martinez, Levin; Goldsmith, Louise; Paramore, Louise; Cormier, Luc; Dell'Atti, Lucio; Simmons, Lucy; Martinez-Piñeiro, Luis; Rico, Luis; Chan, Luke; Forster, Luke; Ma, Lulin; Moore, Madeline; Gallego, Maria Camacho; Freire, Maria José; Emberton, Mark; Feneley, Mark; Antón-Juanilla, Marta; Rivero, Marta Viridiana Muñoz; Pirša, Matea; Tallè, Matteo; Crockett, Matthew; Liew, Matthew; Trail, Matthew; Peters, Max; Cooper, Meghan; Kulkarni, Meghana; Ager, Michael; He, Ming; Li, Mo; Omran Breish, Mohamed; Tarin, Mohamed; Aldiwani, Mohammed; Matanhelia, Mudit; Pasha, Muhammad; Akalın, Mustafa Kaan; Abdullah, Nasreen; Hale, Nathan; Gadiyar, Neha; Kocher, Neil; Bullock, Nicholas; Campain, Nicholas; Pavan, Nicola; Al-Ibraheem, Nihad; Bhatt, Nikita; Bedi, Nishant; Shrotri, Nitin; Lobo, Niyati; Balderas, Olga; Kouli, Omar; Capoun, Otakar; Oteo Manjavacas, Pablo; Gontero, Paolo; Mariappan, Paramananthan; Marchiñena, Patricio Garcia; Erotocritou, Paul; Sweeney, Paul; Planelles, Paula; Acher, Peter; Black, Peter C.; Osei-Bonsu, Peter K; Østergren, Peter; Smith, Peter; Willemse, Peter-Paul Michiel; Chlosta, Piotr L.; Ul Ain, Qurrat; Barratt, Rachel; Esler, Rachel; Khalid, Raihan; Hsu, Ray; Stamirowski, Remigiusz; Mangat, Reshma; Cruz, Ricardo; Ellis, Ricky; Adams, Robert; Hessell, Robert; Oomen, Robert J.A.; McConkey, Robert; Ritchie, Robert; Jarimba, Roberto; Chahal, Rohit; Andres, Rosado Mario; Hawkins, Rosalyn; David, Rotimi; Manecksha, Rustom P.; Agrawal, Sachin; Hamid, Syed Sami; Deem, Samuel; Goonewardene, Sanchia; Swami, Satchi Kuchibhotla; Hori, Satoshi; Khan, Shahid; Mohammud Inder, Shakeel; Sangaralingam, Shanthi; Marathe, Shekhar; Raveenthiran, Sheliyan; Horie, Shigeo; Sengupta, Shomik; Parson, Sian; Parker, Sidney; Hawlina, Simon; Williams, Simon; Mazzoli, Simone; Grzegorz Kata, Slawomir; Pinheiro Lopes, Sofia; Ramos, Sónia; Rai, Sonpreet; Rintoul-Hoad, Sophie; O'Meara, Sorcha; Morris, Steve; Turner, Stacey; Venturini, Stefano; Almpanis, Stephanos; Joniau, Steven; Jain, Sunjay; Mallett, Susan; Nikles, Sven; Shahzad, null; Yan, Sylvia; Lee, Taeweon; Uçar, Taha; Drake, Tamsin; Toma, Tarq; Cabañuz Plo, Teresa; Bonnin, Thierry; Muilwijk, Tim; Wollin, Tim; Chu, Timothy Shun Man; Appanna, Timson; Brophy, Tom; Ellul, Tom; Austin, Tomas; Smrkolj, Tomaž; Rowe, Tracey; Sukhu, Troy; Patel, Trushar; Garg, Tullika; Çaşkurlu, Turhan; Bele, Uros; Haroon, Usman; Crespo-Atín, Víctor; Parejo Cortes, Victor; Capapé Poves, Victoria; Gnanapragasam, Vincent; Gauhar, Vineet; During, Vinnie; Kumar, Vivek; Fiala, Vojtech; Mahmalji, Wasim; Lam, Wayne; Fung Chin, Yew; Filtekin, Yigit; Chyn Phan, Yih; Ibrahim, Youssed; Glaser, Zachary A; Abiddin, Zainal Adwin; Qin, Zijian; Zotter, Zsuzsanna; Zainuddin, ZulkifliKhadhouri, Sinan; Gallagher, Kevin M.; Mackenzie, Kenneth R.; Shah, Taimur T.; Gao, Chuanyu; Moore, Sacha; Zimmermann, Eleanor F.; Edison, Eric; Jefferies, Matthew; Nambiar, Arjun; Anbarasan, Thineskrishna; Mannas, Miles P.; Lee, Taeweon; Marra, Giancarlo; Gómez Rivas, Juan; Marcq, Gautier; Assmus, Mark A.; Uçar, Taha; Claps, Francesco; Boltri, Matteo; La Montagna, Giuseppe; Burnhope, Tara; Nkwam, Nkwam; Austin, Tomas; Boxall, Nicholas E.; Downey, Alison P.; Sukhu, Troy A.; Antón-Juanilla, Marta; Rai, Sonpreet; Chin, Yew-Fung; Moore, Madeline; Drake, Tamsin; Green, James S. A.; Goulao, Beatriz; Maclennan, Graeme; Nielsen, Matthew; Mcgrath, John S.; Kasivisvanathan, Veeru; Chaudry, Aasem; Sharma, Abhishek; Bennett, Adam; Ahmad, Adnan; Abroaf, Ahmed; Suliman, Ahmed Musa; Lloyd, Aimee; Mckay, Alastair; Wong, Albert; Silva, Alberto; Schneider, Alexandre; Mackay, Alison; Knight, Allen; Grigorakis, Alkiviadis; Bdesha, Amar; Nagle, Amy; Cebola, Ana; Dhanasekaran, Ananda Kumar; Kondža, Andraž; Barcelos, André; Galosi, Andrea Benedetto; Ebur, Andrea; Minervini, Andrea; Russell, Andrew; Webb, Andrew; de Jalón, Ángel García; Desai, Ankit; Czech, Anna Katarzyna; Mainwaring, Anna; Adimonye, Anthony; Das, Arighno; Figueiredo, Arnaldo; Villers, Arnauld; Leminski, Artur; Chippagiri, Arvinda; Lal, Asim Ahmed; Yıldırım, Asıf; Voulgaris, Athanasios Marios; Uzan, Audrey; Oo, Aye Moh Moh; Younis, Ayman; Zelhof, Bachar; Mukhtar, Bashir; Ayres, Ben; Challacombe, Ben; Sherwood, Benedict; Ristau, Benjamin; Lai, Billy; Nellensteijn, Brechtje; Schreiter, Brielle; Trombetta, Carlo; Dowling, Catherine; Hobbs, Catherine; Benitez, Cayo Augusto Estigarribia; Lebacle, Cédric; Ho, Cherrie Wing Yin; Ng, Chi-Fai; Mount, Chloe; Lam, Chon Meng; Blick, Chris; Brown, Christian; Gallegos, Christopher; Higgs, Claire; Browne, Clíodhna; Mccann, Conor; Plaza Alonso, Cristina; Beder, Daniel; Cohen, Daniel; Gordon, Daniel; Wilby, Daniel; Gordon, Danny; Hrouda, David; Lau, David Hua Wu; Karsza, Dávid; Mak, David; Martin-Way, David; Suthaharan, Denula; Patel, Dhruv; Carrion, Diego M; Nyanhongo, Donald; Bass, Edward; Mains, Edward; Chau, Edwin; Canelon Castillo, Elba; Day, Elizabeth; Desouky, Elsayed; Gaines, Emily; Papworth, Emma; Yuruk, Emrah; Kilic, Enes; Dinneen, Eoin; Palagonia, Erika; Xylinas, Evanguelos; Khawaja, Faizan; Cimarra, Fernando; Bardet, Florian; Kum, Francesca; Peters, Francesca; Kovács, Gábor; Tanasescu, Geroge; Hellawell, Giles; Tasso, Giovanni; Lam, Gitte; La Montagna, Giuseppe; Pizzuto, Giuseppe; Lenart, Gordan; Maclennan, Graeme; Özgür, Günal; Bi, Hai; Lyons, Hannah; Warren, Hannah; Ahmed, Hashim; Simpson, Helen; Burden, Helena; Gresty, Helena; Rios Pita, Hernado; Clarke, Holly; Serag, Hosam; Kynaston, Howard; Crawford-Smith, Hugh; Mostafid, Hugh; Otaola-Arca, Hugo; Koo, Hui Fen; Ibrahim, Ibrahim; Ouzaid, Idir; Puche-Sanz, Ignacio; Tomašković, Igor; Tinay, Ilker; Sahibzada, Iqbal; Thangasamy, Isaac; Cadena, Iván Revelo; Irani, Jacques; Udzik, Jakub; Brittain, James; Catto, James; Green, James; Tweedle, James; Hernando, Jamie Borrego; Leask, Jamie; Kalsi, Jas; Frankel, Jason; Toniolo, Jason; Raman, Jay D.; Courcier, Jean; Kumaradeevan, Jeevan; Clark, Jennifer; Jones, Jennifer; Teoh, Jeremy Yuen-Chun; Iacovou, John; Kelly, John; Selph, John P.; Aning, Jonathan; Deeks, Jon; Cobley, Jonathan; Olivier, Jonathan; Maw, Jonny; Herranz-Yagüe, José Antonio; Nolazco, Jose Ignacio; Cózar-Olmo, Jose Manuel; Bagley, Joseph; Jelski, Joseph; Norris, Joseph; Testa, Joseph; Meeks, Joshua; Hernandez, Juan; Vásquez, Juan Luis; Randhawa, Karen; Dhera, Karishma; Gronostaj, Katarzyna; Houlton, Kathleen; Lehman, Kathleen; Gillams, Kathryn; Adasonla, Kelvin; Brown, Kevin; Murtagh, Kevin; Mistry, Kiki; Davenport, Kim; Kitamura, Kosuke; Derbyshire, Laura; Clarke, Laurence; Morton, Lawrie; Martinez, Levin; Goldsmith, Louise; Paramore, Louise; Cormier, Luc; Dell'Atti, Lucio; Simmons, Lucy; Martinez-Piñeiro, Luis; Rico, Luis; Chan, Luke; Forster, Luke; Ma, Lulin; Moore, Madeline; Gallego, Maria Camacho; Freire, Maria José; Emberton, Mark; Feneley, Mark; Antón-Juanilla, Marta; Rivero, Marta Viridiana Muñoz; Pirša, Matea; Tallè, Matteo; Crockett, Matthew; Liew, Matthew; Trail, Matthew; Peters, Max; Cooper, Meghan; Kulkarni, Meghana; Ager, Michael; He, Ming; Li, Mo; Omran Breish, Mohamed; Tarin, Mohamed; Aldiwani, Mohammed; Matanhelia, Mudit; Pasha, Muhammad; Akalın, Mustafa Kaan; Abdullah, Nasreen; Hale, Nathan; Gadiyar, Neha; Kocher, Neil; Bullock, Nicholas; Campain, Nicholas; Pavan, Nicola; Al-Ibraheem, Nihad; Bhatt, Nikita; Bedi, Nishant; Shrotri, Nitin; Lobo, Niyati; Balderas, Olga; Kouli, Omar; Capoun, Otakar; Oteo Manjavacas, Pablo; Gontero, Paolo; Mariappan, Paramananthan; Marchiñena, Patricio Garcia; Erotocritou, Paul; Sweeney, Paul; Planelles, Paula; Acher, Peter; Black, Peter C.; Osei-Bonsu, Peter K; Østergren, Peter; Smith, Peter; Willemse, Peter-Paul Michiel; Chlosta, Piotr L.; Ul Ain, Qurrat; Barratt, Rachel; Esler, Rachel; Khalid, Raihan; Hsu, Ray; Stamirowski, Remigiusz; Mangat, Reshma; Cruz, Ricardo; Ellis, Ricky; Adams, Robert; Hessell, Robert; Oomen, Robert J. A.; Mcconkey, Robert; Ritchie, Robert; Jarimba, Roberto; Chahal, Rohit; Andres, Rosado Mario; Hawkins, Rosalyn; David, Rotimi; Manecksha, Rustom P.; Agrawal, Sachin; Hamid, Syed Sami; Deem, Samuel; Goonewardene, Sanchia; Swami, Satchi Kuchibhotla; Hori, Satoshi; Khan, Shahid; Mohammud Inder, Shakeel; Sangaralingam, Shanthi; Marathe, Shekhar; Raveenthiran, Sheliyan; Horie, Shigeo; Sengupta, Shomik; Parson, Sian; Parker, Sidney; Hawlina, Simon; Williams, Simon; Mazzoli, Simone; Grzegorz Kata, Slawomir; Pinheiro Lopes, Sofia; Ramos, Sónia; Rai, Sonpreet; Rintoul-Hoad, Sophie; O'Meara, Sorcha; Morris, Steve; Turner, Stacey; Venturini, Stefano; Almpanis, Stephanos; Joniau, Steven; Jain, Sunjay; Mallett, Susan; Nikles, Sven; Shahzad, Null; Yan, Sylvia; Lee, Taeweon; Uçar, Taha; Drake, Tamsin; Toma, Tarq; Cabañuz Plo, Teresa; Bonnin, Thierry; Muilwijk, Tim; Wollin, Tim; Chu, Timothy Shun Man; Appanna, Timson; Brophy, Tom; Ellul, Tom; Austin, Tomas; Smrkolj, Tomaž; Rowe, Tracey; Sukhu, Troy; Patel, Trushar; Garg, Tullika; Çaşkurlu, Turhan; Bele, Uros; Haroon, Usman; Crespo-Atín, Víctor; Parejo Cortes, Victor; Capapé Poves, Victoria; Gnanapragasam, Vincent; Gauhar, Vineet; During, Vinnie; Kumar, Vivek; Fiala, Vojtech; Mahmalji, Wasim; Lam, Wayne; Fung Chin, Yew; Filtekin, Yigit; Chyn Phan, Yih; Ibrahim, Youssed; Glaser, Zachary A; Abiddin, Zainal Adwin; Qin, Zijian; Zotter, Zsuzsanna; Zainuddin, Zulkifl