Author: "A. Masood" / Topic: business - Searchworks@Jio Institute Digital Library Search Results

7,154 results on '"A. Masood"'

1. A Didactic Approach to Curriculum Renewal on the Basis of Market Demands: A Grounded Theory Study

Author: Shahri, Navid Nasrollahi, Fatemi, Azar Hosseini, Khoshsaligheh, Masood, and Farimani, Zahra Barzakhi
Abstract: This study aims to provide sufficient information on the issues of the current approaches, materials, and curricula employed in the field of Translation Studies. To do so, the researcher investigated the demands of the market and the vocational realities so as to come to an understanding of the curriculum drawbacks. Furthermore, this study provides a review on the current trends used by academic institutions and private sector in Iran. As a phase of the adopted model, several semi-structured interviews were held with authorities in the market of translation, and then the gathered data. Having analyzed the data, a number of themes emerged, the most important of which were the skills pertinent to technology and computer assisted translation. Finally, a number of recommendations were made to improve the official curriculum of Translation Studies. To the future researchers, this study provides baseline information on the recent status of translator teaching trends.
Published: 2016

2. Critically Analyzing the Concept of Internet of Things (IOT) and How It Impacts Employee and Organizational Performance

Author: Anbazhagan, A., Guru, K., Masood, Gazala, Mandaviya, Meeta, Dhiman, Viney, Naved, Mohd, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Yadav, Sanjay, editor, Haleem, Abid, editor, Arora, P. K., editor, and Kumar, Harish, editor
Published: 2023
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3. The Post-Pandemic Work-Life Initiatives Across Cultures: Recommendations From Human Resource Management

Author: Masood, Huda and Singh, Parbudyal
Subjects: Work-life balance -- Management -- Social aspects, Epidemics -- Social aspects -- United States, Human resource management -- Social aspects, Cultural relations -- Management, Company business management, Business, general, Business
Abstract: Introduction The exogenous effect of the Coronavirus disease 2019 (COVID-19) pandemic generated common challenges for personnel within the world-of-work (Horesh & Brown, 2020). This has defined implications for multi-national organizations [...]
Published: 2023

4. Crafting Work Relationships Using 'Dark Motives': A Multilevel Model

Author: Masood, Huda and Grogan, Allan
Subjects: Motivation (Psychology) -- Social aspects, Work environment -- Analysis, Multilevel analysis, Business, general, Business
Abstract: Introduction According to a recent estimate, at least 20% of North Americans will experience some form of mental health diagnoses in their lifetime (National Alliance on Mental Illness, 2019). Understandably, [...]
Published: 2023

5. A STUDY OF SMARTPHONE COMPANIES: DO INNOVATION CULTURE AND RADICAL INNOVATION AFFECT INSTITUTIONALIZATION AND SUSTAINABLE COMPETITION POSITIVELY?/UM ESTUDO SOBRE EMPRESAS DE SMARTPHONES: A CULTURA DA INOVACAO E A INOVACAO RADICAL AFETAM POSITIVAMENTE A INSTITUCIONALIZACAO E A COMPETICAO SUSTENTAVEL?/ UN ESTUDIO DE EMPRESAS DE TELEFONOS INTELIGENTES: ?LA CULTURA DE INNOVACION Y LA INNOVACION ...

Author: Adiguzel, Zafer, Cakir, Fatma Sonmez, and Kalyar, Masood Nawaz
Published: 2022
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6. Organizational Leadership During the COVID-19 Crisis: A Narrative Review

Author: Masood, Huda and Budworth, Marie Helene
Subjects: Epidemics -- Social aspects -- United States, Crisis management -- Methods, Leadership -- Methods -- Social aspects, Business, general, Business
Abstract: Introduction In 2020, the commissioner of the National Basketball Association (NBA), Adam Silver, made an unexpected yet timely decision to suspend the basketball league for the season. Silver had announced [...]
Published: 2021

7. COMPARATIVE EFFICACY OF LIFE-CYCLE AND ABSOLUTE INCOME HYPOTHESIS IN PAKISTAN

Author: Ammad, Syed and Ahmed, Qazi Masood
Subjects: Inflation (Economics) -- Pakistan -- United Kingdom, Monetary policy, Economic growth, Banks (Finance), Households, Labor force, Email, Shock, Business, Economics, Business, international, Regional focus/area studies
Abstract: In Pakistan more than 90% of national saving comprises of household saving but this household saving hovering around 12% to 14%, of the GDP. This study is one of the early attempts in Pakistan to examine the household lifecycle saving behavior using the methodology of Modigliani and Shi (2004). Unlike previous studies in Pakistan this study uses GDP growth rather than GDP level to test lifecycle hypothesis. Similarly in demographic variables the dependency ratio is taken as percentage of employed labor force rather than the total labor force. Present study based on time-series data from 1973 to 2015, taken from the State Bank of Pakistan Annual Reports, 50 Years of Pakistan Economy, and various issues of the Economic Survey of Pakistan. In order to estimate the saving determinates the Bounds testing approach is applied to ensure the Co-integration and the long-run coefficients are estimated through OLS. The estimated results of long-rum regression show that the dependency ratio (less than 14 years population) has significant negative effect on average saving and the growth differential variable has also insignificant negative effect showing that any transitory shock on income has no significant effect on average saving. Similarly, the long-term growth has insignificant effect on saving which does not support the hypothesis of virtuous circle that goes from faster growth to increased saving to even higher growth. The coefficient of inflation is significant with expected negative sign. Finally, the Keynesian variable estimated by per capita income is significant with expected positive sign, which indicates that a rise in per-capita income will increase the saving. The overall results do not support the lifecycle hypothesis in case of Pakistan but reinforce the existence of absolute-income hypothesis. These results emphasized some important policy implication for monetary policy as inflation was found to have negative impact on household savings, ensuring price stability and low inflation will be conducive to augment household savings and thus sustain higher economic growth. The results also emphasize that in order to increase the saving both inflation and any transitory shock that effect negatively on saving needs to be controlled. JEL Classifications: C32, E21, J11 Keywords: Aggregate Saving, Growth, Lifecycle Hypothesis, Pakistan Corresponding Author's Email: ammadsyed@aerc.edu.pk, INTRODUCTION The household consumption and saving behaviors are vital part of macroeconomic growth and policy which are being tested constantly in empirical research since the work of Keynes (1936) and [...]
Published: 2020

8. Artificial Intelligence against COVID-19 Pandemic: A Comprehensive Insight

Author: Zahid A. Khan, Sarfaraz Masood, Azhar Equbal, Iftekhar Equbal, Shafi Ahmad, and Noor Zaman Khan
Subjects: Vaccination, Coronavirus disease 2019 (COVID-19), Health professionals, business.industry, Pandemic, Authorization, Medicine, Radiology, Nuclear Medicine and imaging, Disease, Artificial intelligence, business, Imaging data, Ai systems
Abstract: COVID-19 is a pandemic initially identified in Wuhan, China, which is caused by a novel coronavirus, also recognized as the Severe Acute Respiratory Syndrome (SARS-nCoV-2). Unlike other coronaviruses, this novel pathogen may cause unusual contagious pain which results in viral pneumonia, serious heart problems, and even death. Researchers worldwide are continuously striving to develop a cure for this highly infective disease, yet there are no well-defined absolute treatments available at present. Several vaccination drives with emergency use authorisation vaccines are being done across many countries, however, their long term efficacy and side-effects study are yet to be done. The research community is analysing the situation by collecting the datasets from various sources. Healthcare professionals must thoroughly analyse the situation, devise preventive measures for this pandemic, and even develop possible drug combinations. Various analytical and statistical models have been developed, however, their outcome rate is prolonged. Thus, modern science stresses on the application of state-of-the-art methods in this combat against COVID-19. The application of Artificial intelligence (AI), and AI-driven tools are emerging as effective tools, especially with X-Ray and CT-Scan imaging data of infected subjects, infection trend predictions etc. The high efficacy of these AI systems can be observed in terms of highly accurate results, i.e. >95%, as reported in various studies. AI-driven tools are being used in COVID diagnostic, therapeutics, trend prediction, drug design and prevention to help fight against this pandemic. This paper aims to provide a deep insight into the comprehensive literature about AI and AI-driven tools in this battle against the COVID-19 pandemic. The extensive literature is divided into five sections, each describing the application of AI against COVID-19 viz. COVID-19 Prevention, diagnostic, infection spread trend prediction, therapeutic and drug repurposing.
Published: 2023
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9. Can HDEMG-Based Low Back Muscle Fatigue Estimates Be Used in Exoskeleton Control During Prolonged Trunk Bending? A Pilot Study

Author: Brouwer, Niels P., Tabasi, Ali, Moya-Esteban, Alejandro, Sartori, Massimo, van Dijk, Wietse, Kingma, Idsart, van Dieën, Jaap H., Moreno, Juan C., Masood, Jawad, Schneider, Urs, Maufroy, Christophe, Pons, Jose L., Neuromechanics, AMS - Musculoskeletal Health, AMS - Sports, AMS - Ageing & Vitality, TechMed Centre, Biomechanical Engineering, Moreno, Juan C., Masood, Jawad, Schneider, Urs, Maufroy, Christophe, and Pons, Jose L.
Subjects: medicine.medical_specialty, Lumbar, Physical medicine and rehabilitation, Muscle fatigue, business.industry, medicine, Bending, Extensor muscle, business, Trunk, Low back, Nerve conduction velocity, Exoskeleton
Abstract: The effectiveness of exoskeletons could be enhanced by incorporating low back muscle fatigue estimates in their control. The aim of the present study was to evaluate whether low back muscle fatigue can be estimated using the spectral content of trunk extensor muscle high-density EMG (HDEMG) by considering the motor unit action potential conduction velocity (MUAP CV) as a reference. The HDEMG-based MUAP CV was estimated for multiple sites on the lower back consistently throughout a 30 degrees lumbar flexion endurance trial. Significant linear relationships were observed between MUAP CV and spectral content. However, MUAP CV and spectral changes over time did not show the expected decrease, probably due to additional recruitment of motor units or alternating activity of synergistic muscles. The anatomical information about the sites that allow MUAP CV estimation can be valuable for future low back muscle fatigue estimations.
Published: 2022
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10. Path to Systems: A SiP of Reliable Advantage--Systems Under Test: Fourth in a five-part series, this article presents how the methodologies of testing and characterization of system-in-package technology enables higher-quality, more--reliable products

Author: Dantu, Neeraj, Murtuza, Masood, Welsh, Erik, and Frantz, Gene
Subjects: Integrated circuit fabrication -- Methods, Circuit design -- Methods, Semiconductor test equipment -- Usage, Embedded systems -- Design and construction, Nickel (Metal), Testing equipment, Technology, Production management, Integrated circuit design, Embedded system, Integrated circuit fabrication, Circuit designer, System on a chip, Business, Computers and office automation industries, Electronics and electrical industries
Abstract: In parts 1, 2, and 3 of the series (go to www.electronicdesign.com), we talked about how the fundamental shift of focus toward systems makes-system-in-package (SIP) an essential step forward in [...]
Published: 2019

11. Alcohol-Induced Psychotic Disorder and Depressive Disorder: a Dual Diagnosis Case Series

Author: A. Elbelushi, H. Masood, B. Masood, and Z. Muravec
Subjects: medicine.medical_specialty, media_common.quotation_subject, compliance, Compliance (psychology), medications, Rating scale, Brief Psychiatric Rating Scale, Medicine, Personality, aipd, Psychiatry, RC346-429, Depression (differential diagnoses), media_common, hallucinosis, business.industry, alcohol, ICD-10, alcoholic psychoses, Psychiatry and Mental health, Clinical Psychology, depression, Clinical Global Impression, Dual diagnosis, Neurology (clinical), Neurology. Diseases of the nervous system, business
Abstract: Alcohol-induced psychotic disorder (AIPD) is a diagnosis in the ICD 10. Previous studies of AIPD do not appear to have reported the co-morbid presence of depressive disorder in either prevalence studies or treatment studies. Five cases are presented with a dual diagnosis of AIPD and depressive disorder. These cases were assessed using the Brief Psychiatric Rating Scale (BPRS), Hamilton Depression Rating Scale (HDRS), Clinical Global Impression Severity score (CGI-S), Clinical Global Impression Improvement score (CGI-I), Drug Attitude Inventory 10 (DAI 10), Short Assessment Personality-Abbreviated Scale (SAPAS) and Modified Sainsbury Tool. Antidepressants and antipsychotics were chosen based on drug attitude scores from DAI 10. Cases demonstrate inpatient and outpatient treatment with good treatment outcomes after six months. Three cases demonstrate suicide risk. The majority did not have a personality disorder. These cases highlight the importance of treating a depressive disorder in AIPD and of tailored medication treatments for poor medication compliance.
Published: 2021

12. How New Zealand Software Companies Are Adapting Work Settings With Changing Times

Author: Kelly Blincoe, D. Damian, and Z. Masood
Subjects: Engineering management, Software, Work (electrical), Computer science, business.industry, business
Published: 2022
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13. Does green finance really deliver what is expected? An empirical perspective

Author: Abubakr Saeed, Hammad Riaz, Muhammad Asif Khan, and Masood Ahmed
Subjects: Finance, Sustainable development, Ecological footprint, business.industry, Sustainability, General Earth and Planetary Sciences, Climate change, Climate Finance, Investment (macroeconomics), Sustainable growth rate, business, Global environmental analysis, General Environmental Science
Abstract: Coupled with adopting the United Nations Sustainable Development Goals and the Paris Climate Agreement, the Asian Development Bank (ADB) role may not be overlooked. The ADB took substantial measures to ensure environmentally sustainable growth in Asia and the Pacific. They include climate change finance, that is a joint project of the ADB and the Global Environment Facility. One of its components is climate mitigation finance, which consists of the investment process that supplies funds to achieve environmental sustainability in the region. Considering the evolving role of green finance, this study quantifies green finance as “climate mitigation finance” and examines its impact on the ecological footprint across twenty-six economies in the Asian region. To do so, we use an ordinary least squares baseline model, followed by fixed-effects estimation. Our empirical findings show that green finance reduced the ecological footprints, and it appears environmentally friendly. From the Asian perspective, in particular, green finance delivers as anticipated. Moreover, the findings are robust to using alternative measures and estimation strategies, and they should motivate policymakers to continue investing in climate finance.
Published: 2022
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14. Resilient Operation of Distribution Grids Using Deep Reinforcement Learning

Author: Masood Parvania and Mohammad Mehdi Hosseini
Subjects: Mathematical optimization, Computer science, business.industry, Computer Science Applications, Control and Systems Engineering, Control theory, Robustness (computer science), Distributed generation, Scalability, Reinforcement learning, State space, Markov decision process, Electrical and Electronic Engineering, Resilience (network), business, Information Systems
Abstract: This paper utilizes deep reinforcement learning (DRL) to develop an intelligent resilience controller (IRC) that devises fast real-time operation decisions to strategically dispatch distributed generation and energy storage units for restoring power to customers after sudden outages. The proposed IRC learns the failure development pattern of uncertain high impact events and is able to explore a large action space in the partially observable state space of distribution grids under widespread outages. A spatio-temporal hurricane impact analysis model is presented as an example of uncertain high impact events, and its parameters are used in training the IRC model, and prepare it for similar events. In the proposed model, the distribution grid operation under uncertainty is modeled as a Markov decision process (MDP), and actions taken by the operator are rewarded based on operation costs. Since the number of distributed energy resources can be significant, the scalability issue of the method is addressed by reformulating the problem as a sequential MDP. The proposed model is implemented on a test distribution grid undergoing a hurricane, and its performance is compared with common operation strategies, indicating the superiority of the proposed model in terms of reduced outage cost and close to zero running time. Further analysis shows the robustness of the proposed model to deviations from the training set.
Published: 2022
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15. Attack Detection in Power Distribution Systems Using a Cyber-Physical Real-Time Reference Model

Author: Mohammed Masum Siraj Khan, Jairo Giraldo, and Masood Parvania
Subjects: General Computer Science, Artificial neural network, Computer science, business.industry, Testbed, Real-time computing, Cyber-physical system, Kalman filter, Intrusion detection system, Consistency (database systems), Distributed generation, business, Reference model, Computer Science::Cryptography and Security
Abstract: This paper develops a novel intrusion detection system for power distribution systems that utilizes a cyber-physical real-time reference model to accurately replicate the complex behavior of power distribution components for attack detection. The proposed intrusion detection system analyzes the consistency of the physical data from sensor readings and control commands in contrast with their digital counterpart obtained from the real-time reference model. Therefore, a residual-based online attack detection mechanism that utilizes the chi-square test is able to determine the presence of malicious data. The proposed mechanism is implemented on a hardware-in-the-loop simulation testbed on a test power distribution system with distributed energy resources and energy storage systems. The results show that the proposed solution is able to quickly detect multiple types of cyber attacks for different levels of accuracy of the real-time reference model. The simulations illustrate that the proposed approach outperforms conventional attack detection mechanisms such as one-class classifiers and residual-based approaches that utilize Kalman filters or neural networks.
Published: 2022
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16. To determine the correlation between mean platelet count and frequency of grading of esophageal varices in patients of liver cirrhosis

Author: Zain Masood, Dilshad Mohammad, Muzammal Iftikhar, Afaira Hamed, Ghulam Abbas Sheikh, and Masood Javed
Subjects: medicine.medical_specialty, Cirrhosis, Esophageal varices, business.industry, Internal medicine, Medicine, In patient, Platelet, business, medicine.disease, Grading (tumors), Gastroenterology
Abstract: Objectives: To determine the correlation between mean platelet count and grading of esophageal varices in patients of liver cirrhosis. Study Design: Cross Sectional study. Settings: Department of Medicine, DHQ Hospital (FMU) &AFM&DC Faisalabad. Period: 17th August 2019 to 16th February 2020. Material & Methods: A total of 105 patients liver cirrhosis with esophageal varices were included in the study according to the inclusion and exclusion criteria. For assessment of platelet count 2ml blood sample was sent to hospital pathology laboratory and it was reported by the pathologist. Upper GI endoscopy was performed by gastroenterologist for confirmation and grading of oesophageal varices. Results: In our study, it was observed that 04 (3.81%) patients had grade- I EV, 34 (32.38%) Grade-II, 39 (37.14%) Grade III, 15 (14.29%) Grade IV and 13 (12.38%) patients had Grade V esophageal varices. While correlating the mean platelet count and grading of esophageal varices in patients of liver cirrhosis, it was observed that the mean platelet count of the patients with Grade-I EV was 149000± 26000, platelet count in patients with Grade-II EV was 122000 ± 26000, platelet count in patients with Grade-III EV was 100000 ± 23000, platelet count in patients with Grade-IV EV was 98000 ± 26000 and platelet count in patients with Grade-V EV was 94000 ± 22000 with correlation r value of 0.370 and p-value of 0.0001 which is statistically significant. Conclusion: This study concluded that there is inverse correlation between mean platelet count and grades of esophageal varices in patients of liver cirrhosis.
Published: 2021
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17. A standalone approach to utilize telomere length measurement as a surveillance tool in oral leukoplakia

Author: Shruti Shrivastava, Vivek Choudhary, Sovna Shivani Mishra, Pradeep K. Patra, Tripti Barardiya, Hansa Banjara, Yogita Rajput, Jagannath Pal, Pinaka Pani Ramakrishna, Masood A. Shammas, Renuka Gahine, Ankur Chandrakar, and Varsha Mungutwar
Subjects: Male, Cancer Research, medicine.medical_specialty, High variability, Peripheral blood mononuclear cell, Gastroenterology, External reference, Internal medicine, Genetics, Humans, Medicine, business.industry, General Medicine, Venous blood, Telomere, medicine.disease, Oral tissue, Oral leukoplakia, Oncology, Head and Neck Neoplasms, Dysplasia, Carcinoma, Squamous Cell, Leukocytes, Mononuclear, Molecular Medicine, Female, Mouth Neoplasms, Leukoplakia, Oral, business
Abstract: Oral squamous cell carcinoma (OSCC) is often preceded by a white patch on a surface of the mouth, called oral leukoplakia (OL). As accelerated telomere length (TL) shortening in dividing epithelial cells may lead to oncogenic transformation, telomere length measurement could serve as a predictive biomarker in OL. However, due to high variability and lack of a universal reference, there has been a limited translational application. Here, we describe an approach of evaluating TL using paired peripheral blood mononuclear cells (PBMC) as an internal reference and demonstrate its translational relevance. Oral brush biopsy and paired venous blood were collected from 50 male OL patients and 44 male healthy controls (HC). Relative TL was measured by quantitative PCR. TL of each OL or healthy sample was normalized to the paired PBMC sample (TL ratio). In OL patients, the mean TL ratio was significantly smaller not only in the patch but also in distal normal oral tissue, relative to healthy controls without a high-risk oral habit. Dysplasia was frequently associated with a subgroup that showed a normal TL ratio at the patch but significantly smaller TL ratio at a paired normal distal site. Our data suggest that evaluation of TL attrition using a paired PBMC sample eliminates the requirement of external reference DNA, makes data universally comparable and provides a useful marker to define high-risk OL groups for follow-up programs. Larger studies will further validate the approach and its broader application in other premalignant conditions.
Published: 2022
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18. Multisystem Inflammatory Syndrome in Children

Author: Horton Lee, Tian Liang, Shivraj Savadkar, Noah Kondamudi, Muhammad Waseem, David Mortel, Ee Tein Tay, and Masood A. Shariff
Subjects: Clinical Review, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), PMIS, Mucocutaneous Lymph Node Syndrome, medicine.disease_cause, otorhinolaryngologic diseases, medicine, Coagulopathy, Humans, In patient, Child, Intensive care medicine, multisystem inflammatory syndrome in children, Kawasaki disease, SARS-CoV-2, Mechanism (biology), business.industry, COVID-19, Toxic shock syndrome, Emergency department, Immune dysregulation, medicine.disease, Systemic Inflammatory Response Syndrome, Emergency Medicine, business
Abstract: Background Multisystem inflammatory syndrome in children (MIS-C) is a newly recognized condition affecting children with recent infection or exposure to coronavirus disease 2019 (COVID-19). MIS-C has symptoms that affect multiple organs systems, with some clinical features resembling Kawasaki disease (KD) and toxic shock syndrome (TSS). Objective of the Review Our goal was to review the current literature and describe the evaluation and treatment algorithms for children suspected of having MIS-C who present to the emergency department. Discussion MIS-C has a wide clinical spectrum and diagnosis is based on a combination of both clinical and laboratory findings. The exact mechanism of immune dysregulation of MIS-C is not well understood. Physical findings may evolve and do not necessarily appear at the same time. Gastrointestinal, cardiac, inflammatory, and coagulopathy manifestations and dysfunction are seen frequently in MIS-C. Conclusions The diagnosis of MIS-C is based on clinical presentation and specific laboratory findings. In the emergency setting, a high level of suspicion for MIS-C is required in patients exposed to COVID-19. Early diagnosis and prompt initiation of therapy offer the best chance for optimal outcomes.
Published: 2022
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19. Healthcare Device Security Assessment through Computational Methodology

Author: Masood Ahmad, Mohd Nadeem, Ahmad F. Subahi, Alka Agrawal, Sabita Khatri, Adil Hussain Seh, and Jehad F. Al-Amri
Subjects: Engineering management, General Computer Science, Control and Systems Engineering, business.industry, Computer science, Health care, Security assessment, business, Theoretical Computer Science
Published: 2022
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20. Recognition and Tracking of Objects in a Clustered Remote Scene Environment

Author: Usman Tariq, Yunyoung Nam, Salman Abdu Ahmed, Byeong-Gwon Kang, Muhammad Attique Khan, Haris Masood, Muhammad Umair Ali, and Amad Zafar
Subjects: Biomaterials, Mechanics of Materials, business.industry, Computer science, Modeling and Simulation, Computer vision, Artificial intelligence, Electrical and Electronic Engineering, business, Tracking (particle physics), Computer Science Applications
Published: 2022
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21. A critical review of determinants of financial innovation in global perspective

Author: Fathimunisa B.A. Hanfy, Gazala Masood, Beena Dias, Rajesh Deb Barman, Ratchana Rajendran, and Jnaneshwar Pai Maroor
Subjects: 010302 applied physics, Financial innovation, Descriptive statistics, Context (language use), Sample (statistics), 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, Competition (economics), Content analysis, 0103 physical sciences, Regional science, Business, Descriptive research, 0210 nano-technology, Research question
Abstract: Financial innovation is the widely accepted process across the globe. ‘What forces drive the financial innovation?’ is the research question since long. Many studies were conducted in the past to answer and each study identified some or other factors that prominently driving financial innovation landscape in their respective economy. The present study critically review existing Literatures to suggest a comprehensive list of determinants. The study uses descriptive research design. A sample of 54 literatures focusing on financial innovation and it’s determinants during the time period 1983 to 2018 is included in the study. Further, content analysis and descriptive statistics are used to explore the determinants. The study identified 23 different determinants of financial innovation and classify those under two bases. First, on the basis of influencing power and second on the basis of nature of the determinant. The study found that technological development, competition, firm size and regulations are the major sources of financial innovation from different categories. The study also raised the research agenda to study determinants of financial innovation in Asian context, as there are scanty literature covering Asian economies.
Published: 2022
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22. Cannulation Strategy for Extracorporeal Membrane Oxygenation Does Not Influence Total Hospital Cost

Author: Kunal D. Kotkar, Ralph J. Damiano, Gene Ridolfi, Karen L. Walker, Akinobu Itoh, Marci S. Damiano, Muhammad F. Masood, Marc R. Moon, and Nadia H. Bakir
Subjects: Adult, Male, Pulmonary and Respiratory Medicine, ARDS, medicine.medical_specialty, medicine.medical_treatment, Organ transplantation, Catheterization, law.invention, Extracorporeal Membrane Oxygenation, law, Extracorporeal membrane oxygenation, Humans, Medicine, Hospital Costs, Aged, Retrospective Studies, business.industry, Diagnosis-related group, Length of Stay, Middle Aged, medicine.disease, Intensive care unit, Peripheral, Anesthesia, Cohort, Female, Surgery, Hemodialysis, Cardiology and Cardiovascular Medicine, business
Abstract: Background The Center for Medicare and Medicaid Services decreased reimbursement rates for peripheral venoarterial (VA) extracorporeal membrane oxygenation (ECMO) and venovenous (VV) ECMO procedures in October 2018. Limited data are available describing hospital costs and clinical resources required to support ECMO patients. Methods All patients supported on ECMO at our institution between March 2017 and October 2018 were identified. Exclusion criteria were cannulation at referring hospitals, organ transplant recipients, and temporary right ventricular support. The cohort was stratified by the initial cannulation strategy. Outcomes were total hospital cost and clinical resource utilization. Results There were 29 patients supported on central VA, 72 on peripheral VA, and 37 on VV ECMO. Survival at 30 days was 48% for central vs 37% for peripheral vs 51% for VV. Hospital costs were $187,848 for central vs $178,069 for peripheral vs $172,994 for VV (P = .91). Mean hospital stay was 25.8 days for central vs 21.5 days for peripheral vs 26.2 days for VV (P = .49). Mean intensive care unit stay was 14.1 days for central vs 12.8 days for peripheral vs 7.7 days for VV (P = .25). Mean length of ECMO support was 6.5 days for central vs 6.2 days for peripheral vs 7.8 days for VV (P = .38). Mean ventilator time was 13.0 days for central vs 8.2 days for peripheral vs 10.0 days for VV (P = .06). Hemodialysis was used in 41% central patients, 47% peripheral, and 41% VV (P = .75). Theoretical ECMO reimbursement losses ranged from $1,970,698 to $5,648,219 annually under 2018 Center for Medicare and Medicaid Services rates. Conclusions ECMO cannulation strategy has minimal impact on resource utilization and hospital cost.
Published: 2022
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23. Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

Author: Obbina Abani, Ali Abbas, Fatima Abbas, Mustafa Abbas, Sadia Abbasi, Hakam Abbass, Alfie Abbott, Nabeel Abdallah, Ashraf Abdelaziz, Mohamed Abdelfattah, Bushra Abdelqader, David Abdo, Basir Abdul, Althaf Abdul Rasheed, Ajibode Abdulakeem, Rezan Abdul-Kadir, Amina Abdulle, Abdulfatahi Abdulmumeen, Rasheed Abdul-Raheem, Niyaz Abdulshukkoor, Kula Abdusamad, Yazeed Abed El Khaleq, Mai Abedalla, Abeer Ul Amna Abeer Ul Amna, Katrina Abernethy, Adebanke Aboaba, Hani Abo-Leyah, Ahmed Abou-Haggar, Mahmoud Abouibrahim, Miriam Abraham, Tizzy Abraham, Abraheem Abraheem, Judith Abrams, Hyacinth-John Abu, Ahmed Abu-Arafeh, Syed M Abubacker, Akata Abung, Yaa Aceampong, Amaka Achara, Devikumar Acharya, Sarah Acheampong, Janet Acheson, Andres Acosta, Catherine Acton, Jacqueline Adabie-Ankrah, Sara Adair, Fiona Adam, Matthew Adam, Huzaifa Adamali, Carol Adams, Charlotte Adams, Kate Adams, Lisa Adams, Richard Adams, Tim Adams, Kirsty Adcock, Jemaimah Addai, Ade Adebiyi, Ken Adegoke, Vicki Adell, Debo Ademokun, Sherna Adenwalla, Oluwasegun A Adesemoye, Emmanuel O Adewunmi, Joyce Adeyemi, Rina Adhikary, Gabrielle Adkins, Adnan Adnan, John Aeron-Thomas, Debbie Affleck, Dominic Affron, Carmel Afnan, Muhammad Afridi, Zainab A Aftab, Meenakshi Agarwal, Rachel Agbeko, Chris Agbo, Penny Agent, Sunil Aggarwal, Arameh Aghababaie, Shafana Ahamed Sadiq, Mohamed H Ahammed Nazeer, Humayun Ahmad, Mohammad Ahmad, Syed Ahmad, Asim Ahmed, Bilal Ahmed, Forizuddin Ahmed, Hamze Ahmed, Iram Ahmed, Irshad Ahmed, Khaled Ahmed, Liban Ahmed, Mahin Ahmed, Maria C Ahmed, Muhammad S Ahmed, Naseer Ahmed, Nausheen Ahmed, Osama Ahmed, Rajia A Ahmed, Rizwan Ahmed, Saif Ahmed, Sammiya Ahmed, Sara Ahmed, Sophia Ahmed, Syed Ahmed, Syed Haris Ahmed, Roa Ahmed Ali, Sana Ahmed, Sana Ahmer, Dhiraj Ail, Mark Ainsworth, Giulia Airoldi, Myriam Aissa, Lindianne Aitken, Bini Ajay, Francis Ajeneye, Abdulakeem Ajibode, Ayesha Ajmi, Tahir Akbar, Naim Akhtar, Nasim Akhtar, Nauman Akhtar, Suha Akili, Oludoyinsola Akindolie, Yinka Akinfenwa, Olugbenga Akinkugbe, Ibrahim Akinpelu, Olajide Akinwumiju, Olugbenro Aktinade, Ahmad Al Aaraj, Asma Al Balushi, Majd Al Dakhola, Aladdin Al Swaifi, Eslam Al-Abadi, Narendra Aladangady, Ayaz Alam, Sajid Alam, Abbas Al-Asadi, Karina Al-Asadi, Kyriaki Alatzoglou, Manaf Al-Bayati, Paul Albert, Lorraine Albon, Gemma Alcorn, Stephen Alcorn, Aggie Aldana, David Alderdice, Rayan Aldouri, Jonathan Aldridge, Nicolas Aldridge, Ana Alegria, Alison Alexander, John Alexander, Peter D G Alexander, Charlotte Alford, Julyan Al-Fori, Laith Alghazawi, Bahij Al-Hakim, Shams Al-Hity, Ali Ali, Asad Ali, Fawzia R Ali, Hoodo Ali, Jawad Ali, Mariam Ali, Mohammad Ali, Nayab Ali, Oudai Ali, Sabira Ali, Sakina Ali, Syed Ali, Abid Alina, Fine Aliyuda, Katrin Alizadeh, Maithem Al-Jibury, Saba Al-Juboori, Majid Al-Khalil, Moutaz Alkhusheh, Allameddine Allameddine, Fiona Allan, Rachel Allan, Alison Allanson, Robert Allcock, Beverley Allen, Eireann Allen, Jess Allen, Kerry Allen, Laura Allen, Louise Allen, Poppy Allen, Rebecca Allen, Sam Allen, Sharon Allen, Simon Allen, Kathryn Allison, Bethan Allman, Lynne Allsop, Hassan Al-Moasseb, Magda Al-Obaidi, Lina Alomari, Akram Al-Rabahi, Bahar Al-Ramadhani, Zayneb Al-Saadi, Inji Alshaer, Rustam Al-Shahi Salman, Warkaq Al-Shamkhani, Bashar Al-Sheklly, Sara Altaf, Mary Alvarez, Balaal Alyas, Maysaa Alzetani, Susan Amamou, Noor Amar, Sakkarai Ambalavanan, Sarah-Jayne Ambler, Robert Ambrogetti, Chris Ambrose, Amir Ameen, Kenneth Amenyah, Maria R Amezaga, Allison Amin, Amina Amin, Kanish Amin, Syed Amin, Tara Amin, Amjad Amjad, Neelma Amjad, Mariam Ammoun, Victoria Amosun, Khaled Amsha, Pugh Amy, Atul Anand, Rekha Anand, Samantha Anandappa, Julie Anderson, Kevin Anderson, Laura Anderson, Michelle Anderson, Nicola Anderson, Rachel Anderson, Rory Anderson, Wendy Anderson, Prematie Andreou, Angela Andrews, Antonette Andrews, Jill Andrews, Susan Andrews, Gregory Andrikopoulos, Kanayochukwu Aneke, Andrew Ang, Wan Wei Ang, Tammy Angel, Aramburo Angela, Paola Angelini, Lazarus Anguvaa, Oleg Anichtchik, Millicent Anim-Somuah, Krishnan Aniruddhan, Jessica Annett, Patrick J Anstey, Rebekah Anstey, Alpha Anthony, Aaron Anthony-Pillai, Philip Antill, Zhelyazkova Antonina, Varghese Anu, Muhammad Anwar, George Apostolides, Aristeidis Apostolopoulos, Sarah Appleby, Diane Appleyard, Maia Far Aquino, Bianca Araba, Samuel Aransiola, Mariana Araujo, Emily Arbon, Ann Archer, Denise Archer, Simon Archer, Christian Ardley, Ana-Maria Arias, Ryoki Arimoto, Charlotte Arkley, Charlotte Armah, Ilianna Armata, Adam Armitage, Ceri Armstrong, Maureen Armstrong, Sonia Armstrong, Sylvia Armstrong-Fisher, Philippa Armtrong, Heike Arndt, Clare Arnison-Newgass, David Arnold, Rachael Arnold, Sarah Arnott, Dhawal Arora, Kavan Arora, Pardeep Arora, Rishi Arora, Andrea Arroyo, Arslam Arter, Ayush Arya, Rita Arya, Denisa Asandei, Adeeba Asghar, Catherine Ashbrook-Raby, Glen Ashby, Helen Ashby, Jan Ashcroft, John Ashcroft, Samuel Ashcroft, Deborah Asher, Ayesha Ashfaq, Ben Ashford, Suhail Ashgar, Abdul Ashish, Sally Ashman-Flavell, Sundar Ashok, Abd-El-Aziz Ashour, Muhammad Z Ashraf, Saima Ashraf, Mohammad B Ashraq, Deborah Ashton, Susan Ashton, Andrew Ashworth, Rebecca Ashworth, Arshia Aslam, Harshini Asogan, Abigail Asquith, Atif Asrar, Omar Assaf, Raine Astin-Chamberlain, Richard Athay-Hunt, Deborah Athorne, Billie Atkins, Christopher Atkins, Stacey Atkins, John Atkinson, Vicki Atkinson, Brygitta Atraskiewicz, Claire Atterbury, Abdul Ahmad Attia, Rita Atugonza, Paula Aubrey, Avinash Aujayeb, Aye Chan Thar Aung, Hnin Aung, Kyaw Thu Aung, Ni Aung, Yin Aung, Zaw Myo Aung, Emily Austin, Karen Austin, Abdusshakur Auwal, Miriam Avery, Joanne Avis, Georgina Aviss, Cristina Avram, Paula Avram, Gabriel Awadzi, Atia Awan, Aszad Aya, Eman Ayaz, Amanda Ayers, Jawwad Azam, Mohammed Azharuddin, Ghazala Aziz, N Aziz, Ali Azkoul, Ashaari Azman Shah, Giada Azzopardi, Hocine Azzoug, Fiyinfoluwa Babatunde, Melvin Babi, Babiker Babiker, Gayna Babington, Matthew Babirecki, Marta Babores, Adetona O Babs-Osibodu, Sammy Bacciarelli, Roudi Bachar, Gina Bacon, Jenny Bacon, Bibi Badal, Gurpreet R Badhan, Shreya Badhrinarayanan, Joseph P Bae, Sibel Bafekr Mishamandani, Alice Baggaley, Amy Baggott, Graham Bagley, Dinesh Bagmane, Lynsey Bagshaw, Kasra Bahadori, James Bailey, Katie Bailey, Lindsey Bailey, Liz Bailey, Morgan Bailey, Pippa Bailey, Sarah Bailey, Stephen Bailey, Hamish Baillie, J Kenneth Baillie, Jennifer Bain, Sanchia Baines, Vikram Bains, Aimi Baird, David Baird, Susan Baird, Tracy Baird, Yolanda Baird, Aiysha Bajandouh, Charles Baker, Emma Baker, Evelyn Baker, Johanne Baker, Josephine Baker, Kenneth Baker, Rebecca Baker, Terri-Anne Baker, Victoria Baker, Hugh Bakere, Nawar Bakerly, Michelle Baker-Moffatt, Nauman Bakhtiar, Panos Bakoulas, Julie Balaam, Niranjan Balachandran, Andrea Balan, Theodosios Balaskas, Madhu Balasubramaniam, Alison Balcombe, Alexander Baldwin, Ashley Baldwin, Caron Baldwin, Danielle Baldwin, Rebekah Baldwin-Jones, James Balfour, Gagan Bali, Sonya Balkee, Ceri Ball, Kasia Ballard, Amy Ballinger, Ismael Balluz, Craig Balmforth, Emese Balogh, Amir Baluwala, Gabby Bambridge, Alasdair Bamford, Amy Bamford, Peter Bamford, Adefunke Bamgboye, Elizabeth Bancroft, Hollie Bancroft, Tanya Bancroft, Joyce Banda, Krishna Bandaru, Srini Bandi, Nageswar Bandla, Somaditya Bandyopadhyam, Amit Banerjee, Millie Banerjee, Ritwik Banerjee, Harrison Banks, Lauren Banks, Luke Banks, Paul Banks, Oliver Bannister, Bharat Bansal, Robert Banthorpe, Laura Banton, Mariamma Baptist, Tanya Baqai, Ananya Mouli Baral, Desislava Baramova, Alex Barber, Russel Barber, Emma Barbon, Miriam Barbosa, Monica Barbosa, Jamie Barbour, Alexander Barclay, Claire Barclay, George Bardsley, Stephanie Bareford, Shahedal Bari, Amy Barker, Debbie Barker, Helen Barker, Joseph Barker, Leon Barker, Oliver Barker, Kerry Barker-Williams, Sinha Barkha, Juliana Barla, Gavin Barlow, Richard Barlow, Valerie Barlow, James Barnacle, 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Mika Burgess, Paula Burgess, Richard Burgess, Sophia Burgess, Paula Burgett, Adrian Burman, Sara Burnard, Caroline Burnett, John Burnett, Amanda Burns, Amy Burns, Collette Burns, James Burns, Karen Burns, Samuel Burns, Sarah Burns, Daniel Burrage, Sadie Burrage, Kate Burrows, Claire Burston, Ben Burton, Fiona Burton, Matthew Burton, Angela Busby, Deborah Butcher, Aaron Butler, Jessica Butler, Joanne Butler, Joshua Butler, Lesley Butler, Peter Butler, Susan Butler, Al-Tahoor Butt, Mohammad M Butt, Sophia Butt, Caryl Butterworth, Nicola Butterworth-Cowin, Robert Buttery, Tom Buttle, Heather Button, Daniel Buttress, Jane Byrne, Wendy Byrne, Victoria Byrne-Watts, Eleanor Byworth, Amanda Cabandugama, Ruth Cade, Anthony Cadwgan, Donna Cairney, James Calderwood, Darren Caldow, Moira Caldwell, Giorgio Calisti, Debbie Callaghan, Jennifer Callaghan, Claire Callens, Donaldson Callum, Caroline Calver, Melissa Cambell-Kelly, Tracey Camburn, David R Cameron, Eleanor Cameron, Fraser Cameron, Sarah Cameron, Sheena Cameron, Christian Camm, Renee F D Cammack, Alison Campbell, Amy Campbell, Barbara Campbell, Bridget Campbell, Debbie Campbell, Helen Campbell, Hilary Campbell, Jonathan Campbell, Mark Campbell, Robyn Campbell, Wynny Campbell, Quentin Campbell Hewson, Julie Camsooksai, Ana Canabarro, Lisa Canclini, Shaula Mae Candido, Janie Candlish, Cielito Caneja, Johnathon Cann, Ruby Cannan, Emma Cannon, Michael Cannon, Petra Cannon, Vivienne Cannons, Jane Cantliff, Ben Caplin, Santino Capocci, Noemi Caponi, Angelika Capp, Anne Capps-Jenner, Thomas Capstick, Ishmael Carboo, Nuria Cardenas, Mary Cardwell, Rachel Carey, Simon Carley, Tammy Carlin, Andrew Carlton, Samantha Carmichael, Mandy Carnahan, Rebecca Carnegie, Charlotte Caroline, Emily Carpenter, Jodi Carpenter, David Carr, Sharon Carr, Anna Carrasco, Samantha Carrington, Zoe Carrington, Paul Carroll, Caroline Carron, Anne Carstairs, Jonathan Carter, Michael Carter, Moira Carter, Paul Carter, Penny Carter, Steven Carter, Simon 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Eric Chiang, Angela Chiapparino, Rosavic Chicano, Zviedzo A Chikwanha, Sam Chilcott, Phillipa Chimbo, KokWai Chin, Wen Jie Chin, Rumbidzai Chineka, Amol Chingale, Karen Chinn, Vashira Chiroma, Heather Chisem, Claire Chisenga, Ben Chisnall, Carolyn Chiswick, Sunder Chita, Nihil Chitalia, Matthew Chiu, Brenda Chivima, Catherine Chmiel, Soha Choi, Willy Choon Kon Yune, Vandana Choudhary, Sarah Choudhury, Bing-Lun Chow, Fateha Chowdhury, Mahibbur Chowdhury, Shahid Chowdhury, Victoria Christenssen, Peter Christian, Alexander Christides, Fiona Christie, Daniel Christmas, Thereza Christopherson, Mark Christy, Paris Chrysostomou, Yunli Chua, Shabs Chucha, Dip Chudgar, Richard Chudleigh, Srikanth Chukkambotla, Michael E Chukwu, Izu Chukwulobelu, Chi Y Chung, Ben Church, Elaine Church, Sara R Church, David Churchill, Nicole Cianci, Nick Ciccone, Paola Cicconi, Paola Cinardo, Zdenka Cipinova, Bessie Cipriano, Sarah Clamp, Melanie Clapham, Edel Clare, Sarbjit Clare, Andrew Clark, Charlotte Clark, 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Davies, Ffyon Davies, Helen Davies, James Davies, Jane Davies, Jeni Davies, Jim Davies, Karen Davies, Kelly Davies, Kim Davies, Louisa Davies, Mark Davies, Matthew Davies, Michelle Davies, Nina Davies, Owen Davies, Patrick Davies, Rachel Davies, Rhys Davies, Ruth Davies, Sarah Davies, Simon Davies, Alison Davis, Gwyneth Davis, Illinos Davis, Julie-Ann Davis, Katherine Davis, Peter Davis, Alexander Davison, Sophia Davison, Mark Davy, Christine Dawe, H Dawe, Mark Dawkins, Danielle Dawson, Elizabeth Dawson, Joy Dawson, Susan Dawson, Tom Dawson, Andrew Daxter, Andrew Day, Helena Day, Jacob Day, Jeremy Day, Lynn Day, Jamie D'Costa, Parijat De, Duneesha de Fonseka, Toni de Freitas, Frederico De Santana Miranda, Eleanor de Sausmarez, Shanika de Silva, Thushan de Silva, Jessica De Sousa, Paulo De Sousa, James de Souza, Anthony de Soyza, Natasha de Vere, Johannes de Vos, Bethan Deacon, Sharon Dealing, Anna Dean, Julie Dean, Katrina Dean, Stephen Dean, Tessa Dean, Jill Deane, James Dear, Effie 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Abrar Gani, Emma-James Garden, Antoni D Gardener, Emma Gardiner, Jill Gardiner, Michael Gardiner, Phil Gardiner, Siobhan Gardiner, Caroline Gardiner-Hill, Jonathan Gardner, Mark Garfield, Atul Garg, Nathan Garlick, Justin Garner, Lucie Garner, Zoe Garner, Kimberley Garnett, Robert Garney, Rosaline Garr, Michael Garstka, Peter Gartan, Florence Garty, Rachel Gascoyne, Hyeriju Gashau, Noha Gasmalseed, Michaela Gaspar, Aoife Gatenby, Erin Gaughan, Alok Gaurav, Mariana Gavrila, Jane Gaylard, Emma Gaywood, Catherine Geddie, Alison Geddis, Ian Gedge, Sarah Gee, Minerva Gellamucho, Karzan Gelly, Leila Gelmon, Sandra Gelves-Zapata, Gemma Genato, Susan Gent, Natalie Geoghegan, Chloe George, Sam George, Tina George, Simon Georges, Domonique Georgiou, Peter Gerard, Leigh Gerdes, Louise Germain, Helen Gerrish, Abel Getachew, Louise Gethin, Hisham Ghanayem, Amardeep Ghattaoraya, Anca Gherman, Alison Ghosh, Justin Ghosh, Sudhamay Ghosh, Sarra Giannopoulou, Malick Gibani, Andrew Gibb, Ben Gibbison, Kerry Gibbons, Alex Gibson, Bethan Gibson, Kimberley Gibson, Kirsty Gibson, Sian Gibson, Cat Gilbert, Jeanette Gilbert, Joanne Gilbert, Kayleigh Gilbert, Sean Gilchrist, Benjamin Giles, Mandy Gill, Rose Gill, Lynne Gill, Paul Gillen, Annelies Gillesen, Katherine Gillespie, Matt Gillespie, Elizabeth Gillham, Andrew Gillian, Deborah Gilliland, Robert Gillott, Danielle Gilmour, Kate Gilmour, Theodora Giokanini-Royal, Anna Gipson, Joanna Girling, Rhian Gisby, Angelena Gkioni, Aikaterini Gkoritsa, Effrossyni Gkrania-Klotsas, Amy Gladwell, James Glanville, Jessica Glasgow, Susannah Glasgow, Jon Glass, Lynn Glass, Sharon Glaysher, Lisa Gledhill, Ana Glennon, John Glover, Kyle Glover, Jan Glover Bengtsson, Chevanthy Gnanalingam, Julie Goddard, Wendy Goddard, Emily Godden, Jo Godden, Gillian Godding, Emma Godson, Gerry Gogarty, Sukanya Gogoi, Aiky Goh, Rebeca Goiriz, Sriya Gokaraju, Philip Gold, Raphael Goldacre, Arthur Goldsmith, Portia Goldsmith, Darren Gomersall, Lucia Gomez, Raquel 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Rachel Harford, Beverley Hargadon, Carolyn Hargreaves, Emily Hargreaves, James Hargreaves, Alice Harin, Mohammed Haris, Edward Harlock, Sandra Harlow, Paula Harman, Tracy Harman, Mark Harmer, Muhammad A Haroon, Charlie Harper, Fiona Harper, Heather Harper, Melanie Harper, Peter Harper, Rosemary Harper, Sarah Harrhy, Sian Harrington, Yasmin Harrington-Davies, Jade Harris, Jess Harris, John Harris, Laura Harris, Marie-Clare Harris, Naomi Harris, Nichola Harris, Sophie Harris, Alex Harrison, David Harrison, Julie Harrison, Laura Harrison, Melanie Harrison, Rowan Harrison, Susie Harrison, Thomas Harrison, Wendy Harrison, Elizabeth Harrod, Ciaran Hart, Dominic Hart, Lisa Hartley, Rosemary Hartley, Ruth Hartley, Tom Hartley, William Hartrey, Phillipa Hartridge, Stuart Hartshorn, Heli Harvala, Alice Harvey, Angela Harvey, Max Harvey, Catherine Harwood, Helen Harwood, Brigitte Haselden, Kazi Hashem, Mohammed Hashimm, Tadaaki Hashimoto, Imranullah Hashmi, Sarah Haskins, Zena Haslam, Adil 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Susie Holt, Alexandra Holyome, Marie Home, Toni Home, Renate Homewood, Kate Hong, Laura Hontoria del Hoyo, Clare Hooper, Sarah Hoosdally, Samantha Hope, Susan Hope, Bridget Hopkins, Peter W Horby, Stephanie Horler, Anil Hormis, Daniel Hornan, Nicola Hornby, Zoey Horne, Latoya Horsford, Megan Horsford, Mark Horsford, Valana Horsham, Alexander Horsley, Ashley Horsley, Elizabeth Horsley, Sarah Horton, Nicola Horton-Turner, Jane Hosea, Toby Hoskins, Muhammad S Hossain, Rashed Hossain, Leanne Hostler, Maxine Hough, Sarah Hough, Brittany Houghton, Catherine Houghton, Iain Houghton, Kathryn Houghton, Rebecca Houlihan, Angela Houston, Hamish Houston, Tawedzegwa Hove, Roseanna Hovvels, Lee How, Laura Howaniec, Laura Howard, Linda Howard, Lucy Howard, Sarah Howard, Stuart Howard, Richard Howard-Griffin, Alison Howarth, Diane Howarth, Serena Howe, Mark Howells, Lyn Howie, Kerry Howlett, Sophie Howlett, Joanne Hoyle, Josh Hrycaiczuk, Naing Zaya Htoon, Su Htwe, Ying Hu, Chiang Ooi Huah Huah, Abby 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Mohammed Hussam El-Din, Raheem Hussein, Rebecca Hussey, Camille Hutchinson, Dorothy Hutchinson, Elizabeth Hutchinson, John Hutchinson, Claire Hutsby, Paula Hutton, Daniella Hydes, Jamie Hyde-Wyatt, Niamh Hynes, Megan Hyslop, Mazen Ibraheim, Abdalla Ibrahim, Ahmed Ibrahim, Asil Ibrahim, Mohamed Ibrahim, Monzeer Ibrahim, Wadah Ibrahim, Adetokunbo I Idowu, Muhammad Idrees, Hina Iftikhar, Mawara Iftikhar, Chukwuemeka Igwe, Mohammad Ijaz, Amaju Ikomi, Clare Iles, Stamatina Iliodromiti, Mary Ilsley, Lorna Ilves, La'ali Imam-Gutierrez, Christopher Imray, Alison Imtiaz, Haider Imtiaz, Claire Ingall, Jack Ingham, Julie Ingham, Rory Ingham, Tejas Ingle, Jennifer Inglis, Anne Ingram, Luke Ingram, Peter Inns, Ken Inweregbu, Andreea A Ionescu, Ana Ionita, Ilian P Iordanov, Anil Ipe, Adil Iqbal, Madiha Iqbal, Mohammed Iqbal, Faisal Iqbal Sait, Jane Ireland, Robert Irons, Mohannad Irshad, Muhammad S Irshad, Janice Irvine, Val Irvine, Pamela Irving, Robert Irving, Mina Ishak, Erica Isherwood, Aminul Islam, Abdurrahman Islim, Ali Ismail, Omar Ismail, Caroline Ison, M'hamedi Israa, Sharon Isralls, Ali Issa, Monica Ivan, Catrina Ivel, Chineze Ivenso, Ashleigh Ivy, Sophie Iwanikiw, Karen Ixer, Menaka Iyer, Mia Iyer, Calum Jack, Amanda Jackson, Anthony Jackson, Ben Jackson, Beth Jackson, Douglas Jackson, Ella Jackson, Hayley Jackson, Helen Jackson, Jane Jackson, Julie Jackson, Karin Jackson, Lauren Jackson, Melanie Jackson, Nicola Jackson, Shane Jackson, Sharon Jackson, Nikita Jacob, Patricia Jacob, Reni Jacob, Nicola Jacques, Terri-Lisa Jacques-Brown, Anisa Jafar, Daniel Jafferji, Ali Jaffery, Chandrashekar Jagadish, Vijay Jagannathan, Sam Jaggard, Mandeep Jagpal, Fernandez R Jaime, Neemisha Jain, Seema Jain, Susan Jain, Sanjay Jaiswal, Danyal Jajbhay, Thomas Jaki, Bintou Jallow, Yusuf Jaly, Sabine Jamal, Zeba Jamal, Yasmin Jameel, Albie James, Christie James, Kate James, Lee James, Linda James, Mark James, Nicholas James, Olivia James, Rebecca James, Ruth James, Tracy James, Jack Jameson, Aaron Jamison, Phoebe Jane, Azara Janmohamed, Sabrina Jansz, Deepa Japp, Lorraine Jappy, Victor Jardim, Catherine Jardine, Emma Jarnell, Ellie Jarvie, Ann Jarvis, Claire Jarvis, Lisa Jarvis, Rosina Jarvis, Patrycja Jastrzebska, Hafsa Javed, Mays Jawad, Lona Jawaheer, Kauky Jawaid, Anu Jayachandran, Dinakaran Jayachandran, Angelina Jayakumar, Deepak Jayaram, Ravi Jayaram, Geeshath Jayasekera, Thilina Jayatilleke, Abi Jayebalan, Saman Jeddi, Vandana Jeebun, Mohammad S Jeelani, Zeynab Jeewa, Emma Jefferson, Katie Jeffery, Helen Jeffrey, Jenni Jeffrey, Rachel Jeffrey, Sue Jeffrey, Nathan Jeffreys, Benjamin Jeffs, Debbie Jegede, Taylor Jemima, Ifan Jenkin, Alison Jenkins, Christopher Jenkins, David Jenkins, Elinor Jenkins, Sarah Jenkins, Sian Jenkins, Stephen Jenkins, Jacqui Jennings, Louise Jennings, Rebecca Jennings, Virginia Jennings, Ellen Jerome, Douglas Jerry, Ellen Jessup-Dunton, Jorge Antonio Jesus Silva, Champa Jetha, Kishan Jethwa, Jeby Jeyachandran, Visuvanathan Jeyakumar, Dharshana Jeyapalan, Shaman Jhanji, Khoo Jian, Zhixin Jiao, Laura Jimenez, Ana Jimenez Gil, Jithin Jith, Teishel Joefield, Navraj Johal, Karine Johannessen, Aisyah Johari, Annie John, Anu John, Navin John, Sarah John, Emma Johns, Margaret Johns, Anne-Marie Johnson, Antoinette Johnson, David Johnson, Emma Johnson, Gillian Johnson, Kathryn Johnson, Katie Johnson, Luke Johnson, Mark Johnson, Nelsonseelan Johnson, Oliver Johnson, Rachel Johnson, Tracy Johnson, Zoe Johnson, Claire Johnston, Janet Johnston, Laura Johnston, Susan Johnston, Victoria Johnston, Dawn Johnstone, Ed Johnstone, Janet Johnstone, Manohar Joishy, Adam Jones, Alistair Jones, Annabel Jones, Ben Jones, Bryony Jones, Carys Jones, Ceri Jones, Charlotte Jones, Christine E Jones, Debra Jones, Emily Jones, Gareth Jones, Geraldine Jones, Hazel Jones, Jac Jones, James Jones, Jamie Jones, Jessica Jones, Jonathon Jones, Julie Jones, Karen Jones, Kate E Jones, Kevin Jones, Laura Jones, Laura M Jones, Lorna Jones, Louise Jones, Mathew Jones, Nicola Jones, Paul Jones, Rhianna Jones, Ruth E Jones, Samantha Jones, Sophie Jones, Stefanie Jones, Steve Jones, Taya Jones, Tim Jones, Tracey Jones, Ramya Jonnalagadda, Rebecca Jordache, Annette Jose, Sanal Jose, Anna Joseph, Joseph Joseph, Rosane Joseph, Sibet Joseph, Dhaara Joshi, Mehul Joshi, Pratichi Joshi, Revati Joshi, Benz Josiah, Tiffany Joyce, Adriel Ju Wen Kwek, Edward Jude, Parminder Judge, Jessica Juhl, Sirisha Jujjavarapu, Mark Juniper, Edmund Juszczak, Deepthi Jyothish, Kasamu Kabiru Dawa, Mark Kacar, Katarina Kacinova, Nikhil Kadam, Rebecca Kahari, Gail Kakoullis, Azad Kala Bhushan, Richard JK Kalayi, Roobala Kaliannan Periyasami, Efthymia Kallistrou, Seika Kalsoom, Elisa Kam, John Kamara, Mohamed Kamara, Ajay Kamath, Prakash Kamath, Ravindra Kamath, Siddharth Arun Kamerkar, Nick Kametas, Musaiwale Kamfose, Arul Kandaswamy, Leia Kane, Osei Kankam, Thogulava Kannan, Abhinav Kant, Vikas Kapil, Ritoo Kapoor, Sonal Kapoor, Sourjya Kar, Janaka Kara, Vasita Kara, Marina Karakantza, Rona Kark, Nicholas Karunaratne, Natashja Kasianczuk, Vidya Kasipandian, Rizwan Kassam, Janarth Kathirgamachelvam, Victoria Katsande, Kulbinder Kaul, Daljit Kaur, Dervinder Kaur, Jasmin Kaur, Jaspreet Kaur, Satvinder Kaur, Zunaira Kausar, Mohammad AA Kawser, Andrea Kay, Sarah Kay, Jossy N Kayappurathu, Callum Kaye, Ahemd Kazeem, Naved Kazi, Sharon Kaznica, Samantha Kearley, Rachel Kearns, Nichola Kearsley, Joanne Keating, John Keating, Liza Keating, Elizabeth Keddie-Gray, Katie Keen, Natalie Keenan, Jonathan Kefas, Stephen Kegg, Laura Keith, Uzoamaka Keke, Tosin Kelani, Joanne Kellett, Jeremy Kellington, Alison Kelly, Conor Kelly, David Kelly, Diane Kelly, Dominic Kelly, Emma Kelly, Laura Kelly, Martin Kelly, Michael Kelly, Rosalind Kelly, Sinead Kelly, Stephen Kelly, Thomas Kelly, Mary Kelly-Baxter, Marketa Keltos, Timothy Kemp, Kelly Kemsley, Alexandra Kendall-Smith, Sarah Kennard, Ann Kennedy, Caroline Kennedy, James Kennedy, Sophie Kennedy-Hay, Julia 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Michelle Lake, Nicki Lakeman, David Lalloo, Fiona Lalloo, Alison Lam, Fiona Lamb, Lucy Lamb, Thomas Lamb, Nick Lambe, Pauline Lambert, Claudia Lameirinhas, Mohammed KG Lami, Abigail Lamikanra, Holly Lamont, Michal Lamparski, Djillali Lamrani, Christine Lanaghan, Rebecca Lanaway, Ivone Lancona-Malcolm, Julia Lancut, Geraldine Landers, Martin J Landray, Matthew Lane, Nicholas Lane, Alidih Lang, Stephen Lang, Daniel Langer, Margaret Langley, Charles Langoya, Emily Langthorne, Taiya Large, Wojciech Lason, Anna Last, Scott Latham, John Latham-Mollart, Afzal Latheef, Darren Latimer, Nang Latt, Carly-Jane Lattimore, Dawn Lau, Eva Lau, Myra Laurenson, Hou Law, Jennifer Law, Jessica Law, Penny Law, Richard Law, Colin Lawler, Mark Lawley, Emma Lawrence, Jo Lawrence, Neil Lawrence, Ryan Lawrie, Jemima Lawson, Joanne Lawson, Louise Lawson, Rebecca Lawton, Michael Lay, Christine Laycock, Reina Layug, Maria Lazo, Vietland Le, Amelia Lea, William Lea, Ian Leadbitter, Thomas Leahy, Richard Lean, Lorna Leandro, Darren Leaning, Sandra Leason, Christina Leaver, Marie Anne Ledingham, Emma Lee, Hannah Lee, Irish Lee, Judith Lee, Sam Lee, Shi Han Lee, Simon Lee, Sindy Lee, Stephanie Lee, Tracey Lee, Xiang Lee, Diana Lees, Jennifer Lees, Helen Legge, Julian Leggett, Katie Leigh-Ellis, Kevan Leighton, Nicky Leitch, Eleni Lekoudis, Petula Lemessy, Nicholas Lemoine, Joana Lemos, Irina Lenchuk, Katy Leng, Katrina Lennon, Liz Lennon, Isabel Lentell, Kelly Leonard, Wen Leong, Nicky Leopold, Oskar Lepiarczyk, Isla Leslie, Eleni Lester, Joe Leung, Ullrich Leuschner, Emma Levell, Chris Levett, Alice Lewin, Michaela Lewin, Alison Lewis, David Lewis, Dee Lewis, Georgina Lewis, Gillian Lewis, Joanne Lewis, Joseph Lewis, Kathryn Lewis, Keir Lewis, Leon Lewis, Lisa Lewis, Marissa Lewis, Rob Lewis, Robert Lewis, Catherine Lewis-Clarke, Lorraine Lewis-Prosser, Katherine Lewiston, Adam Lewszuk, Penny Lewthwaite, Samantha Ley, Anna Li, Jenny Li, Angela Liao, Victoria Licence, David Lieberman, Susan 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Nisbett, Aksinya Nisha James, Sabaahat Nishat, Tomoko Nishiyama, Sara Nix, Jennifer Nixon, Maxine Nixon, Khwaja Nizam Ud Din, Maria Nizami, Josephine Nnadi, Lyrics Noba, Harriet Noble, Hsu Noe, Jerry Nolan, Zahid Noor, Zaid Noori, Jamie Norgrave, Louis Norman, Rachel Norman, Karen Norris, Lillian Norris, Sally Ann Nortcliffe, Fiona North, Julie North, Thomas North, Julie Northcote, John Northfield, Samantha Northover, Jurgens Nortje, Donna Norton, Rowen Norton, Holly Notman, Khalid Nourein, Timea Novak, Tony Noyce, Alan Noyon, Arlene Nubi, Mohamed Nugdallah, Anne Marie Nugent, Justine Nugent, Kribashnie Nundlall, Kieran Nunn, Michelle Nunn, Jane Nunnick, Yvonne Nupa, Zubeir Nurgat, Kelly Nwankiti, Eugenia Nweje, Godfrey Nyamugunduru, Maggie Nyirenda, Kerry Nyland, Daire O Shea, Ruth O'Donnell, Chloe O'Hara, Kevin O'Reilly, William O'Rourke, Caroline Oakley, Begho Obale, Clements Oboh, Andrew O'Brien, Clare O'Brien, Julie O'Brien, Kirsty O'Brien, Linda O'Brien, Marese O'Brien, Neale 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O'Neill, Lauran O'Neill, Chon Sum Ong, Chidera Onyeagor, Huah C Ooi, Amin Oomatia, Maria Opena, Richard Oram, Chloe Orchard, Christy Ord, Jonathan Ord, Charlotte O'Reilly, Lola Orekoya, Devaki O'Riordan, Sean O'Riordan, Amy Orme, Hannah Orme, Dave Ormrod, Charlotte Orr, Sarah Orr, Christopher Orton, Anna Osadcow, Rawlings Osagie, Rostam Osanlou, Lynn Osborne, Nigel Osborne, Rebecca Osborne, Wendy Osborne, William Osborne, Charles Osbourne, Jennifer Osei-Bobie, Mandy O'Shea, Joseph Osman, Wa'el Osman, Bashir Osman, G Osoata, Marlies Ostermann, Eoin O'Sullivan, Susan O'Sullivan, Noor Otey, Otheroro K. 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Tanaraj Perinpanathan, Lakshmi Periyasamy, Francesca Perkins, Rachel Perkins, Elizabeth Perritt, Alison Perry, Emily Perry, Meghan Perry, Terrie Perry, Thomas M Perumpral, Guilherme Pessoa-Amorim, Ruth Petch, Lionel Peter, Cecilia Peters, Craig Peters, Jayne Peters, Mark Peters, Steve Peters, Tim Peters, Remy Petersen, Alexandra Peterson, Leon Peto, Iulia Petras, Ilianna Petrou, Boyanka Petrova, Mirela Petrova, Paul Pfeffer, Mysore Phanish, Paul Phelan, Christopher Philbey, Jennifer Philbin, Neil Philips, Alex Phillips, Danielle Phillips, Dylan Phillips, Karen Phillips, Pat Phillips, Rachael Phillips, Katherine Philpott, Marie Phipps, Virach Phongsathorn, Mandeep Phull, Masroor M Phulpoto, Myat TT PI, Sara Pick, James Pickard, Charlotte Pickering, Gillian Pickering, Thomas Pickett, Hayleah Pickford, Joanna Pickles, Benjamin Pickwell-Smith, Natalia Pieniazek, Charlie Piercy, Angelo Pieris, Samia Pilgrim, Paul Anthony Pillai, Zoe Pilsworth, Heather Pinches, Stacey Pinches, Julia Pinder, 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Anand Shah, Bhavni Shah, Momin Shah, Neil Shah, Pallav Shah, Priyank Shah, Qasim Shah, Sarfaraz H Shah, Snehal Shah, Suraj Shah, Syed Shah, Wajid Shah, Saarma Shahad, Sousan Shahi, Sipan Shahnazari, Muhammad Shahzeb, Aisha Shaibu, Zara Shaida, Amina Y Shaikh, Maliha Shaikh, Rajit Shail, Mariya Shaji, Muhammad Shakeel, Korah Shalan, Nadia Shamim, Kazi Shams, Alison Shanahan, Thomas Shanahan, Shaminie Shanmugaranjan, Hamed Sharaf, Muhammad Sharafat, Asir Sharif, Ajay Sharma, Akhilesh Sharma, Ash Sharma, Bhawna Sharma, Mona Sharma, Ojasvi Sharma, Poonam Sharma, Rajeev Sharma, Sanjeev Sharma, Sarkhara Sharma, Shriv Sharma, Sonal Sharma, Alexander Sharp, Charles Sharp, Gemma Sharp, Paula Sharratt, Phoebe Sharratt, Katherine Sharrocks, Emma Sharrod, Christopher Shaw, Daisy Shaw, David Shaw, Deborah Shaw, Joanne Shaw, Jonathan Shaw, Lisa Shaw, Tomos G Shaw, Anna Shawcross, Jill Shawe, Lou Shayler, Khuram Shazad, Sophy Shedwell, Jonathan Sheffield, Zak Shehata, Arshiya Sheik, Asif Sheikh, 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Jyoti Singh, Lokeshwar Singh, Manjeet Singh, Nadira Singh, Pankaj Singh, Prabhsimran Singh, Salil Singh, Saurabh Singh, Parag Singhal, Bryan Singizi, Manas Sinha, Utkarsh Sinha, Guy Sisson, Sarah Sithiravel, Karthikadevi Sivakumar, Shanmugasundaram Sivakumar, Darsh Sivakumran, Sivanthi Sivanadarajah, Pasupathy-Rajah Sivasothy, Rebecca Sivers, Alison Sivyer, Nicole Skehan, Robert Skelly, Orlagh Skelton, Imogen Skene, Michael J Skill, Denise Skinner, Tabitha Skinner, Victoria Skinner, Agnieszka Skorko, Iwona Skorupinska, Mariola Skorupinska, Amy Slack, Katie Slack, Wendy Slack, Heather Slade, Helen Slade, Mark Slade, Helen Slater, Lynda Slater, Nicola Slawson, Andrew Sloan, Brendan Sloan, Derek Sloan, Geraldine Sloane, Benjamin Small, Ellen Small, Emma Small, Samuel Small, Karen D Smallshaw, Andy Smallwood, Carien Smit, Aileen Smith, Alex Smith, Amanda Smith, Amy Smith, Andrew Smith, Anna Smith, Camilla Smith, Catherine Smith, Chris Smith, Christopher Smith, Dominic Smith, Eleanor Smith, Harriet Smith, Hazel Smith, Helen Smith, Jacky Smith, Janice Smith, Jessica Smith, Juliet Smith, Karen Smith, Kate Smith, Kathryn Smith, Katie Smith, Kelly Smith, Kerry Smith, Lara Smith, Linda Smith, Lisa Smith, Loren Smith, Maria Smith, Mel Smith, Oliver Smith, Rachel Smith, Rebecca Smith, Richard Smith, Ruth Smith, Sally Smith, Samantha Smith, Stacey Smith, Stephanie Smith, Susan Smith, Imogen Smith, John Smith, Gemma Smithson, Sue Smolen, Sara Smuts, Naoise Smyth, Annette Snell, David Snell, Luke Snell, Beng So, Michelle Soan, Toluleyi Sobande, Alberto Sobrino Diaz, Basit Sohail, Bina Sohail, Herminder Sohal, Roy Soiza, Mary Sokolowski, Olajumoke Solademi, Krishma Solanki, Babak Soleimani, Amanda Solesbury, Reanne Solly, Louise Solomon, Subash Somalanka, Chandrashekaraiah Somashekar, Raj Sonia, Shiu-Ching Soo, Deepti Sood, Pavandeep Soor, Germanda Soothill, Jennifer Soren, Youssef Sorour, Apina Sothinathan, Pragalathan Sothirajah, Najwa Soussi, Donna Southam, David Southern, Iain Southern, Louise Southern, Sara M Southin, Jessica Southwell, Thomas Southworth, Jason Sowter, Claudia Spalding, Enti Spata, Katie Spears, Mark Spears, John Spence, Michelle Spence, Branwell Spencer, Gisele Spencer, Sue Spencer, Tom Spencer, Helen Spicer, Rose Spicer, Helen Spickett, Jennifer Spillane, William Spiller, Kerry Spinks, Michelle Spinks, Nick Spittle, Johanna Sporrer, Karen Spreckley, Janet Spriggs, Oliver Spring, Scott Springworth, Gemma Squires, Jack Squires, Rebecca Squires, Ram Sreenivasan, K Sri Paranthamen, Ramesh Srinivasan, Asha Srirajamadhuveeti, Vino Srirathan, Chloe Stacey, Sybil Stacpoole, Louise Stadon, Tony Staincliffe, Jocasta Staines, Nikki Staines, Katie Stammers, Roxana Stanciu, Grazyna Stanczuk, Helen Stannard, Edward Stanton, Robyn Staples, Simon Stapley, Natalie Staplin, Adam Stark, Michelle Starr, Julie Staves, Rached Stead, Anthea Steel, Charlotte Steel, Conor Steele, John Steer, Vergnano Stefania, Paula Stefanowska, Katie Steinert, Caroline Stemp, Alison Stephens, David Stephensen, Elaine Stephenson, Monique Sterrenburg, Georgia Stevens, Guy Stevens, Melanie Stevens, Will Stevens, Amy Stevenson, Andrew Stevenson, Elaine Stevenson, Lesley Stevenson, Sarah Stevenson, Amanda Stewart, Claire Stewart, Colin Stewart, McKenna Stewart, Rachel Stewart, Rebecca Stewart, Richard Stewart, Jo Stickley, Gemma Stiller, Robert Stirk, Sarah Stirrup, Sarah Stock, Alexander Stockdale, Lynne Stockham, Paul Stockton, Emma Stoddard, Chris Stokes, Ben Stone, Roisin Stone, Sarah Stone, Imogen Storey, Kim Storton, Frederick Stourton, Angela Strachan, Catherine Strait, Ellen Strakosch, Emma Stratton, Jane Stratton, Sam Straw, Luke Streeter, Dieter Streit, Emma Stride, Sally Stringer, Sophia Strong-Sheldrake, Siske Struik, Carmel Stuart, Anna Stubbs, Harrison Stubbs, Ann Sturdy, Sharon Sturney, Matt Stuttard, Cristina Suarez, Karuna Subba, Christian P Subbe, Manjula Subramanian, Venkatram Subramanian, Chinari Subudhi, Rebecca Suckling, Srivatsan Sudershan, Lee Sudlow, Gayle Sugden, Peter Sugden, Rudresh Sukla, Ali Suliman, Fatimah Suliman, Ian Sullivan, Sugrah Sultan, Jennifer Summers, Mark Summerton, Samyukta Sundar, Reka Sundhar, Edmond Sung, Nadia Sunni, Jay Suntharalingam, Amitava Sur, Dharmic Suresh, Shilpa Suresh, Rachel Suri, Michael Surtees, Danielle Suter, Helen Sutherland, Rachel Sutherland, Rebecca Sutherland, Dovile Sutinyte, Deborah Sutton, John Sutton, Sam Sutton, Mihaela Sutu, Marie-Louise Svensson, Sima Svirpliene, Andrew Swain, Thomas Swaine, Christopher Swales, Lorna Swan, Nicola Swarbrick, Tirion Swart, Stephen Sweetman, Samaher Sweity, Ealish Swift, Paul Swift, Pauline Swift, Peter Swift, Rachael Swift, Rachel Swingler, Sophie Swinhoe, Katarzyna Swist-Szulik, Luke Swithenbank, Omair Syed, Catriona Sykes, Daisy Sykes, Eliot Sykes, Luke Sylvester, Dominic Symon, Andrew Syndercombe, Zoe Syrimi, Jen Syson, Gemma Szabo, Tamas Szakmany, Megan Szekely, Matthew Szeto, Maria Tadros, Amr Tageldin, Lucy Tague, Hasan Tahir, Muhammad Tahir, Silvia Taibo, Zsofia Takats, Abigail Takyi, Peter Talbot, Alison Talbot -Smith, James Talbot-Ponsonby, Richard Tallent, Bradley Tallon, Phoebe Tamblin-Hopper, Adrian Tan, Bee T Tan, Hock Tan, Huey Tan, Jade Tan, Keith Tan, WeiTeen Tan, Anand Tana, Xiaohui Tang, Christina Tanney, Tabitha Tanqueray, Emma Tanton, Ran Tao, Mark Taplin, Hayley Tarft, Priyal Taribagil, Obaid Tarin, Syed Tariq, Zeeshan Tariq, David Tarpey, Lisa Tarrant, Antonia Tasiou, Elizabeth Tatam, Margaret L Tate, Kate Tatham, Vera Tavoukjian, Alexander Taylor, Beverley Taylor, Brian Taylor, Charlie Taylor, Charlotte Taylor, David Taylor, Elisabeth Taylor, Janet Taylor, Jennifer Taylor, Joanne Taylor, Julie Taylor, Karen Taylor, Leanne Taylor, Margaret Taylor, Matthew Taylor, Melanie Taylor, Natalie Taylor, Rachael Taylor, Rachel Taylor, Samantha Taylor, Suzanne Taylor, Tina Taylor, Tracey Taylor, Vicky Taylor, Michelle Taylor-Siddons, Thomas Taynton, Amelia Te, Jessica Teasdale, Julie Tebbutt, Caroline Tee, Rajni Tejwani, Seble Tekle, Adam Telfer, Vibha Teli, Jennifer Tempany, Holly Templar, Julie Temple, Natalie Temple, Helen Tench, Yi He Teoh, Lynne Terrett, Louise Terry, Abbi Tervit, Dariusz Tetla, Kate Tettmar, Shirish Tewari, Daniel Tewkesbury, Joana Texeira, ChiaLing Tey, Clare Thakker, Manish Thakker, Amirtharajh Tharmakulasingam, Hilary Thatcher, Andrew Thayanandan, Krishna Thazhatheyil, Eaint Thein, Lambrini Theocharidou, Phyu Thet, Kapeendran Thevarajah, Mayooran Thevendra, Nang Thiri Phoo, Yvette Thirlwall, Muthu Thirumaran, Alice Thomas, Andrew Thomas, Caradog Thomas, Emma Thomas, Enson Thomas, Esther Thomas, Hannah Thomas, Helen Thomas, James Thomas, Karen Thomas, Koshy Thomas, Lucy Thomas, Rachel Thomas, Rebecca Thomas, Rhys Thomas, Ruth Thomas, Samantha Thomas, Sarah Thomas, Sherine Thomas, Tessy Thomas, Vicky Thomas, Rhian Thomas-Turner, Samantha Thomas-Wright, Catherine Thompson, Christopher Thompson, Clara Thompson, Fiona Thompson, Katharine Thompson, Laura Thompson, Liz Thompson, Luke Thompson, Michael Thompson, Orla Thompson, Rebecca Thompson, Roger Thompson, Trevor Thompson, Usilla Thompson, Nicola Thomson, Natasha Thorn, Charlotte Thorne, Nicola Thorne, Wendy Thorne, Jim Thornton, Michael Thornton, Richard Thornton, Sara Thornton, Susan Thornton, Thomas Thornton, Tracey Thornton, Allison Thorpe, Christopher Thorpe, Sarah Thorpe, Paradeep Thozthumparambil, Laura Thrasyvoulou, Hannah Thraves, Elisha Thuesday, Vicky Thwaiotes, Guy Thwaites, Simon Tiberi, Jane Tidman, Serena Tieger, Carey Tierney, Caroline Tierney, Mark Tighe, Sorrell Tilbey, Amanda Tiller, John Timerick, Elizabeth Timlick, Alison Timmis, Hayley Timms, Anne-Marie Timoroksa, Samakomva Tinashe, Heather Tinkler, Marianne Tinkler, Jacqui Tipper, Helen Tivenan, Helen T-Michael, Anne Todd, Jackie Todd, Stacy Todd, Mohamed Tohfa, Helena Tollick, Melanie Tolson, Ana Luisa Tomas, Natalia Tomasova, Sharon Tomlin, Simon Tomlins, Jo Tomlinson, James Tonkin, Ivan Tonna, Catherine Toohey, Kirsty Topham, Mathew Topping, Ruhaif Tousis, Peter Tovey, Gareth Towersey, Jason Towler, Jill Townley, Alain Townsend, Chris Townsend, Richard Tozer, Claire Tranter, Helen Tranter, Jonathan Trattles, Christopher Travill, Sarah Traynor, Karis Treuberg, Mike Trevett, Ascanio Tridente, Sanchia Triggs, Fiona Trim, Thomas Trimble, Alex Trimmings, Tom Trinick, Sven Troedson, Emily Tropman, Amy Trotter, Madeleine Trowsdale Stannard, Nigel Trudgill, Maria Truslove, Shaun Trussell, Tariq Trussell, Sara Tryon, Kyriaki Tsakiridou, Christine Tsang, Hoi Pat Tsang, Peter Tsang, Tan Tsawayo, Kyriaki Karali Tsilimpari, Georgios Tsinaslanidis, Simon Tso, Sally Tucker, Victoria Tuckley, Caroline Tuckwell, Aisha Tufail, Redmond Tully, Grace Tunesi, Saidat Turawa, Killiam Turbitt, Anna Turco, Krystyna Turek, Rezon Turel, Tolga Turgut, Claudia Turley, Alison Turnbull, Aine Turner, Ash Turner, Charlotte Turner, David Turner, Frances Turner, Gail Turner, Kate Turner, Kelly Turner, Louise Turner, Lucy Turner, Marc Turner, Mark Turner, Patricia Turner, Ruth Turner, Sally Turner, Samantha Turner, Susan Turner, Victoria Turner, Sharon Turney, Jon Turvey, Conor Tweed, David Tweed, Rebecca Twemlow, Emma Twohey, Bhavya Tyagi, Vedang Tyagi, Abigail Tyer, Jayne Tyler, Jennifer Tyler, Alison Tyzack, Petros Tzavaras, Mohammad S Uddin, Ruhama Uddin, Ruzena Uddin, Salamat Ullah, Sana Ullah, Sanda Ullah, Athavan Umaipalan, Judith Umeadi, Akudo Umeh, Wilfred Umeojiako, Ben Ummat, Charlotte Underwood, Jonathan Underwood, Laura Unitt, Adam Unsworth, Jasvinder Uppal, Veerpal S Uppal, James Uprichard, Gerry Upson, Masood Ur Rasool, Alison Uriel, Sebastian Urruela, Hiromi Uru, Miranda Usher, Rebecca Usher, Alex UsherRea, Andrew Ustianowski, Jane Uttley, Linda C Vaccari, Uddhav Vaghela, Abhay Vaidya, Bernardas Valecka, Jennifer Valentine, Balan Valeria, Pramodh Vallabhaneni, Pedro Valle Vallines, Luke Vamplew, Ekaterini Vamvakiti, Joannis Vamvakopoulos, Maud van de Venne, Alex van der Meer, Nora van der Stelt, Joseph Vance-Daniel, Rama Vancheeswaran, Caryn Vander Riet, Samuel I Vandeyoon, Padma Vankayalapati, Piyush Vanmali, Chloe Vansomeren, William Van't Hoff, Sejal Vara, Kate Vardigans, Stehen J Vardy, Anu Varghese, Maria Varghese, William Varney, Giulia Varnier, Valeria Vasadi, Olivia Vass, Vimal Vasu, Vasanthi Vasudevan, Manu Vatish, Heloyes Vayalaman, Christopher Vaz, Niki Veale, Sachuda Veerasamy, Bar Velan, Swati Velankar, Luxmi Velauthar, Neyme Veli, Nicola Vella, Anitha Velusamy, Ian Venables, Mavi Venditti, David Veniard, Ramya Venkataramakrishnan, Richard Venn, Robert Venn, Lyn Ventilacion, Joanne Vere, Mark Veres, Stefania Vergnano, Will Verling, Amit Verma, Rachel Vernall, Britney Vernon, Mark Vertue, Jerik Verula, Natalie Vethanayagam, Lucy Veys, Carinna Vickers, Saji Victor, Jennifer Vidler, Wayne Vietri, Bavithra Vijayakumar, Vinod Warrier Vijayaraghavan Nalini, Brigita Vilcinskaite, Neringa Vilimiene, Sudharkar Vimalanathan, Lynn Vinall, Sylvia Vinay, Latha Vinayakarao, Rachel Vincent, Rosie Vincent, Pritpal Virdee, Emma Virgilio, Abdullah M Virk, Elisa Visentin, Jeyakumar Visuvanathan, Karunakaran Vithian, Sorice Vittoria, Elena Vlad, Ben Vlies, Alain Vuylsteke, Eleftheria Vyras, Richard Wach, Beverley Wadams, Susan Wadd, Natalia Waddington, Kirsten Wadsworth, Syed EI Wafa, Daniel Wagstaff, Lynda Wagstaff, Dalia Wahab, Zaroug Wahbi, Abiodun Waheed Adigun, Sawan Waidyanatha, Rachel Wake, Alice Wakefield, William Wakeford, Michelle Wakelin, Fiona Wakinshaw, Andrew Walden, Jane Walden, Lorna Walding, Alexandria Waldron, Gemma Walker, Harriet Walker, Ian Walker, Jasmine Walker, Kevin Walker, Kim Walker, Linda Walker, Marie T Walker, Olivia Walker, Rachel Walker, Rebecca Walker, Susan Walker, Derek Wallbank, Rebecca Wallbutton, Jessica Wallen, Karl Wallendszus, Arabella Waller, Fiona Waller, Rosemary Waller, Gabiel Wallis, Gabriel Wallis, Louise Wallis, Donna Walsh, Elizabeth Walsh, Livia Walsh, Deborah Walstow, Daniel Walter, Alex Walters, Holt Walters, James Walters, Jocelyn Walters, Eileen Walton, Lucy Walton, Olivia Walton, Sharon Walton, Susan Walton, Mandy Wan, Thin Wan, Mary Wands, Rachel Wane, Frank Wang, Nick Wang, Ran Wang, Deborah Warbrick, Samantha Warburton, Deborah Ward, Emma Ward, Joanna Ward, Karen Ward, Luke Ward, Nicola Ward, Rachael Ward, Rebecca Ward, Thomas Ward, Tom Ward, Scott A Warden, Adele Wardle, Karen Wardle, Steve Wardle, Hassan Wardy, Scott Waring, Jenny Warmington, Ben Warner, Christian Warner, Lewis Warnock, Sarah Warran, Jade Warren, Lisa Warren, Yolanda Warren, Hannah Warren-Miell, Gill Warwick, Charlotte Washington, Helen Wassall, Hazel J Watchorn, Holly Waterfall, Abby Waters, Donald Waters, Mark Waterstone, Catherine Watkins, Catrin Watkins, Eleanor Watkins, Karen Watkins, Lynn Watkins, Nick Watkins, Abigail Watson, Adam JR Watson, Ekaterina Watson, Eleanor Watson, Paul Watson, Rebecca Watson, Robert Watson, Sandra Watson, Malcolm Watters, Donna Watterson, Daniel Watts, John Watts, Merlin Watts, Victoria Waugh, Emma Wayman, Akhlaq Wazir, Mark Weatherhead, Nick Weatherly, Paul Weaver, Hayley Webb, Kathryn Webb, Kylie Webb, Stephen Webb, Cheryl Websdale, Deborah Webster, Ian Webster, Tim Webster, Kathleen Wedgeworth, Ling Wee, Rebecca Weerakoon, Thanuja Weerasinghe, Janaka Weeratunga, Maria Weetman, Shuying Wei, Immo Weichert, Hugh Welch, James Welch, Leanne Welch, Steven Welch, Samantha Weller, Lucy Wellings, Brian Wells, Susan Wellstead, Berni Welsh, Richard Welsh, Ingeborg Welters, Rachael Welton, Lauren Wentworth, Kate Wesseldine, James Wesson, Jim Wesson, Adam West, Magdelena West, Raha West, Ruth West, Sophie West, Luke Western, Ruth Westhead, Heather Weston, Alice Westwood, Bill Wetherill, Sharon Wheaver, Helen Wheeler, Ben Whelan, Matthew Whelband, Amanda Whileman, Alison Whitcher, Abbie White, Andrew White, Benjamin White, Christopher White, Duncan White, Emily White, James White, Jonathan White, Katie White, Marie White, Nick White, Sarah White, Sonia White, Stephen White, Tracey White, Catherine Whitehead, Anne Whitehouse, Claire Whitehouse, Tony Whitehouse, Julia Whiteley, Sophie Whiteley, Victoria Whiteside, Drew Whitley, Kaitlyn Whitley, Gabriel Whitlingum, David Whitmore, Elizabeth Whittaker, Lindsay Whittam, Andrew Whittingham Hirst, Ashley Whittington, Helen Whittle, Robert Whittle, Suzanne Whyte, Eunice Wiafe, Lou Wiblin, John Widdrington, Jason Wieboldt, Hannah Wieringa, Cornelia Wiesender, Laura Wiffen, Andrew Wight, Christopher Wignall, Danielle Wilcock, Emma Wilcock, Louise Wilcox, Laura Wild, Stephen Wild, Michael Wilde, Peter Wilding, Ritchie Wildman, Tracey Wildsmith, Joe Wileman, Donna Wiles, Joy Wiles, Kate Wiles, Elva Wilhelmsen, Thomas Wiliams, Chloe Wilkes, Janet Wilkie, David Wilkin, Hannah Wilkins, Joy Wilkins, Suzanne Wilkins, Helen Wilkinson, Holly Wilkinson, Iain Wilkinson, Lesley Wilkinson, Martin Wilkinson, Nicola Wilkinson, Sophia Wilkinson, Susan Wilkinson, Tim Wilkinson, Sylvia Willetts, Aimee Williams, Alexandra Williams, Alison Williams, Angharad Williams, Ava Williams, Carl Williams, Caroline V Williams, Claire Williams, Dewi Williams, Gail Williams, Gemma Williams, Gina Williams, Hannah Williams, James Williams, Jayne Williams, Jennie Williams, John Williams, Joseph Williams, Karen Williams, Kathryn Williams, Marie Williams, Matthew Williams, Patricia Williams, Penny Williams, Rachael Williams, Rupert Williams, Samson Williams, Sarah Williams, Sophie Williams, Tamanna Williams, Annie Williamson, Cath Williamson, Catherine Williamson, Dawn Williamson, James D Williamson, Rachel Williamson, Helen Williamson, Bruce Willian, Elizabeth Willis, Emily Willis, Heather Willis, Herika Willis, Joanna Willis, Laura Willmott, Louise Wills, Lucy Willsher, Catherine Willshire, Francesca Willson, Alison Wilson, Andrea Wilson, Antoinette Wilson, Billy Wilson, Catherine Wilson, Eve Wilson, James Wilson, Karen Wilson, Kate Wilson, Lucinda Wilson, Mark Wilson, Matthew Wilson, Toni Wilson, Evie Wiltsher, Marlar Win, Tin Win, Wut Yee Win Win, Lucinda Winckworth, Laura Winder, Piers Winder, Phillip Windrum, Kerry Winham-Whyte, Helen Winmill, Simon Winn, Carmen Winpenny, Helen Winslow, Helen Winter, Jonathan Winter, Pascal Winter, Barbara Winter-Goodwin, Stephen Wisdom, Matthew Wise, Martin Wiselka, Rebecca Wiseman, Sophie Wiseman, Steven Wishart, Holly Wissett, Eric Witele, Nicholas Withers, Janet Wittes, Donna Wixted, Therese Wodehouse, Will Wolf, Nicola Wolff, Kirsten Wolffsohn, Rebecca Wolf-Roberts, Magda Wolna, Elena Wolodimeroff, Adam Wolstencroft, Alan Wong, Charlotte Wong, Chi-Hung Wong, Edwin Wong, Jessica Sue Yi Wong, Kit Y Wong, Lee Wong, Mei Yin Wong, Nick Wong, Sam Wong, Yun Man Wong, Amanda Wood, Caroline Wood, Carrie Anne Wood, Dianne Wood, Fiona Wood, Hannah Wood, Jennifer Wood, Joe Wood, Julia Wood, Kathryn Wood, Lisa Wood, Louise Wood, Michelle Wood, Stephen Wood, Tracy Wood, Ursula Wood, Katharine Woodall, Rebecca Woodfield, Christopher Woodford, Elizabeth Woodford, Jill Woodford, Luke Woodford, Louise Woodhead, Timothy Woodhead, Philip Woodland, Marc Woodman, Debra Woods, Jane Woods, Katherine Woods, Sarah Woods, Zoe Woodward, Rachel Wookey, Megan Woolcock, Gemma Wooldridge, Rebecca Woolf, Chris Woollard, Christopher Woollard, Louisa Woollen, Emma Woolley, Jade Woolley, Daniel Woosey, Dan Wootton, Joanne Wootton, Daniel Worley, Stephy Worton, Jonathan Wraight, Maria Wray, Tim Wreford-Bush, Joanne Wren, Kim Wren, Lynn Wren, Caroline Wrey Brown, Catherine Wright, Demi Wright, Francesca Wright, Imogen Wright, Lee Wright, Lianne Wright, Pete Wright, Rachel Wright, Rebecca Wright, Stephanie Wright, Tim Wright, Caroline Wroe, Hannah Wroe, Henry Wu, Peishan Wu, Pensee Wu, Jonathan Wubetu, Retno Wulandari, Craig Wyatt, Frederick Wyn-Griffiths, Inez Wynter, Bindhu Xavier, Arnold Xhikola, Zhongyang Xia, Huiyuan Xiao, Masseh Yakubi, May Yan, Freda Yang, Yingjia Yang, Michael Yanney, Woei Lin Yap, Nabil Yaqoob, Naairah Yaqub, Salima Yasmin, Bryan Yates, David Yates, Edward Yates, Helen Yates, Julie Yates, Mark Yates, Charlotte Yearwood Martin, Andrew Yeatman, Khin Yein, Fiona Yelnoorkar, Peter Yew, Kawai Yip, Laura Ylquimiche, Laura Ylquimiche Melly, Inez Ynter, H Yong, Jemma Yorke, Jasmine Youens, Abdel Younes Ibrahim, Eoin Young, Gail Young, Louise Young, Richard Young, Asfand Yousafzar, Sajeda Youssouf, Ahmed Yousuf, Chrissie Yu, Bernard Yung, Daniel Yusef, Said Yusef, Intekhab Yusuf, Anna-Sophia Zafar, Silvia Zagalo, Su Zaher, Aqsa Zahoor, Kareem Zaki, Nabhan Zakir, Kasia Zalewska, Ane Zamalloa, Mohsin Zaman, Raisa Zaman, Shakir Zaman, Julie Zamikula, Louise Zammit, Marie Zammit-Mangion, Lynn Zarb, Esther Zebracki, Daniel Zehnder, Lisa Zeidan, Marian Zelman, Xiaobei Zhao, Dongling Zheng, Doreen Zhu, Madiha Zia, Omar Zibdeh, Rabia Zill-E-Huma, Ei Thankt Zin, Veronica Zindonda, Eleanor Zinkin, Vivian Zinyemba, Christos Zipitis, Arkadiusz Zmierczak, Azam Zubir, Roslin Zuha, Naz Zuhra, Rasha Zulaikha, Sabrina Zulfikar, Carol Zullo, Ana Zuriaga-Alvaro, Will Zuurbier, Sheba Zyengi, and University of St Andrews. School of Medicine
Subjects: Male, Convalescent plasma, medicine.medical_treatment, 030204 cardiovascular system & hematology, Antibodies, Viral, Rate ratio, 0302 clinical medicine, RA0421, RA0421 Public health. Hygiene. Preventive Medicine, Medicine, Hospital Mortality, 030212 general & internal medicine, 11 Medical and Health Sciences, Aged, 80 and over, Medicine(all), Mortality rate, Covid19, Articles, 3rd-DAS, General Medicine, Middle Aged, Hospitals, Treatment Outcome, Female, Open label, Coronavirus Infections, Life Sciences & Biomedicine, RM, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), 03 medical and health sciences, Medicine, General & Internal, SDG 3 - Good Health and Well-being, General & Internal Medicine, Internal medicine, Humans, In patient, Pandemics, COVID-19 Serotherapy, Aged, Mechanical ventilation, Science & Technology, SARS-CoV-2, business.industry, Significant difference, Immunization, Passive, COVID-19, Length of Stay, NIS, R1, Respiration, Artificial, United Kingdom, RM Therapeutics. Pharmacology, RECOVERY Collaborative Group, business
Abstract: Background: Many patients with COVID-19 have been treated with plasma containing anti-SARS-CoV-2 antibodies. We aimed to evaluate the safety and efficacy of convalescent plasma therapy in patients admitted to hospital with COVID-19. Methods: This randomised, controlled, open-label, platform trial (Randomised Evaluation of COVID-19 Therapy [RECOVERY]) is assessing several possible treatments in patients hospitalised with COVID-19 in the UK. The trial is underway at 177 NHS hospitals from across the UK. Eligible and consenting patients were randomly assigned (1:1) to receive either usual care alone (usual care group) or usual care plus high-titre convalescent plasma (convalescent plasma group). The primary outcome was 28-day mortality, analysed on an intention-to-treat basis. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936. Findings: Between May 28, 2020, and Jan 15, 2021, 11558 (71%) of 16287 patients enrolled in RECOVERY were eligible to receive convalescent plasma and were assigned to either the convalescent plasma group or the usual care group. There was no significant difference in 28-day mortality between the two groups: 1399 (24%) of 5795 patients in the convalescent plasma group and 1408 (24%) of 5763 patients in the usual care group died within 28 days (rate ratio 1·00, 95% CI 0·93–1·07; p=0·95). The 28-day mortality rate ratio was similar in all prespecified subgroups of patients, including in those patients without detectable SARS-CoV-2 antibodies at randomisation. Allocation to convalescent plasma had no significant effect on the proportion of patients discharged from hospital within 28 days (3832 [66%] patients in the convalescent plasma group vs 3822 [66%] patients in the usual care group; rate ratio 0·99, 95% CI 0·94–1·03; p=0·57). Among those not on invasive mechanical ventilation at randomisation, there was no significant difference in the proportion of patients meeting the composite endpoint of progression to invasive mechanical ventilation or death (1568 [29%] of 5493 patients in the convalescent plasma group vs 1568 [29%] of 5448 patients in the usual care group; rate ratio 0·99, 95% CI 0·93–1·05; p=0·79). Interpretation: In patients hospitalised with COVID-19, high-titre convalescent plasma did not improve survival or other prespecified clinical outcomes. Funding: UK Research and Innovation (Medical Research Council) and National Institute of Health Research.
Published: 2021
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24. Effectiveness of a technology-assisted, family volunteers delivered, brief, multicomponent parents’ skills training intervention for children with developmental disorders in rural Pakistan: a cluster randomized controlled trial

Author: Erica Salomone, Mahjabeen Tariq, Duolao Wang, Nadia Suleman, Atif Rahman, Syed Usman Hamdani, Zill-e Huma, Felicity L. Brown, Fareed Aslam Minhas, Parveen Akhtar, Stephanie Shire, Chiara Servili, Laura Pacione, Huma Nazir, Siham Sikander, Aqsa Masood, Ahmareen Koukab, Hamdani, S, Huma, Z, Suleman, N, Akhtar, P, Nazir, H, Masood, A, Tariq, M, Koukab, A, Salomone, E, Pacione, L, Brown, F, Shire, S, Sikander, S, Servili, C, Wang, D, Minhas, F, and Rahman, A
Subjects: medicine.medical_specialty, Training intervention, media_common.quotation_subject, Developmental disorder, Treatment as usual, wa_395, Neurosciences. Biological psychiatry. Neuropsychiatry, Family Volunteers, Low resource setting, law.invention, Health administration, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, Parents skills, law, Intervention (counseling), Medicine, Low income setting, 0501 psychology and cognitive sciences, 030212 general & internal medicine, Caregivers’ skills training, Empowerment, media_common, business.industry, Research, Health Policy, 05 social sciences, Developmental disorders, Public Health, Environmental and Occupational Health, Low income settings, Mental health, Technology assisted task-shifting, Low resource settings, wm_20, ws_200, Psychiatry and Mental health, Physical therapy, Family Volunteer, Pshychiatric Mental Health, business, WHO mhGAP-IG, 050104 developmental & child psychology, RC321-571
Abstract: Background Globally, there is a large documented gap between needs of families and children with developmental disorders and available services. We adapted the World Health Organization’s mental health Gap-Intervention Guidelines (mhGAP-IG) developmental disorders module into a tablet-based android application to train caregivers of children with developmental disorders. We aimed to evaluate the effectiveness of this technology-assisted, family volunteers delivered, parents’ skills training intervention to improve functioning in children with developmental disorders in a rural community of Rawalpindi, Pakistan. Methods In a single-blinded, cluster randomized controlled trial, 30 clusters were randomised (1:1 ratio) to intervention (n = 15) or enhanced treatment as usual (ETAU) arm (n = 15). After screening, 540 children (18 participants per cluster) aged 2–12 years, with developmental disorders and their primary caregivers were recruited into the trial. Primary outcome was child’s functioning, measured by Childhood Disability Assessment Schedule for Developmental Disorders (DD-CDAS) at 6-months post-intervention. Secondary outcomes were parents’ health related quality of life, caregiver-child joint engagement, socio-emotional well-being of children, family empowerment and stigmatizing experiences. Intention-to-treat analyses were done using mixed-models adjusted for covariates and clusters. Results At 6-months post-intervention, no statistically significant mean difference was observed on DD-CDAS between intervention and ETAU (mean [SD], 47.65 [26.94] vs. 48.72 [28.37], Adjusted Mean Difference (AMD), − 2.63; 95% CI − 6.50 to 1.24). However, parents in the intervention arm, compared to ETAU reported improved health related quality of life (mean [SD] 65.56 [23.25] vs. 62.17 [22.63], AMD 5.28; 95% CI 0.44 to 10.11). The results were non-significant for other secondary outcomes. Conclusions In the relatively short intervention period of 6 months, no improvement in child functioning was observed; but, there were significant improvements in caregivers’ health related quality of life. Further trials with a longer follow-up are recommended to evaluate the impact of intervention. Trial registration Clinicaltrials.gov, NCT02792894. Registered April 4, 2016, https://clinicaltrials.gov/ct2/show/NCT02792894
Published: 2021

25. Evaluation of a rural undergraduate nursing student employment model

Author: Yaghma Masood, Brad Hodge, Nadia DeVecchi, Virginia Dickson-Swift, Craig Phillips, Amanda Kenny, Kenny, Amanda, Dickson-Swift, Virginia, DeVecchi, Nadia, Phillips, Craig, Hodge, Brad, and Masood, Yaghma
Subjects: Medical education, Government, evaluation, 030504 nursing, business.industry, Rural health, education, transition, Context (language use), Focus group, nursing student, 03 medical and health sciences, 0302 clinical medicine, Hospitality, undergraduate nurses, Health care, Workforce, employment models, rural health, 030212 general & internal medicine, Rural Nursing, 0305 other medical science, Psychology, business, General Nursing
Abstract: Background Developing a sustainable rural nursing workforce is key to good rural health outcomes, but nursing recruitment and retention is a significant challenge. Internationally, there is a body of literature that describes undergraduate nursing student employment models. There is, however, a lack of robust evaluation of these models as a workforce strategy. Aim The aim of this study was to evaluate an undergraduate nursing student employment model implemented in a rural context. Methods A mixed-methods design was used with a well-established process evaluation framework. Data collection methods included monthly online surveys, blogs, focus groups, individual interviews, and client experience surveys. Findings Paid employment models are a workforce strategy for rural health services and staff are mostly supportive. For students, engaging in healthcare employment was seen as more advantageous than other forms of employment, such as hospitality and retail. Patients/clients rated the model highly. There were significant challenges with balancing university commitments with service requirements, issues related to scope of the role, and concerns around ongoing funding of the model. Discussion The rural undergraduate student of nursing employment role was implemented as planned with key findings primarily supporting the benefits of the role. Conclusion While there is ongoing interest in nursing student employment, there is a paucity of rigorous evaluation of models. This study adds to knowledge on paid employment of nursing students, but longitudinal studies are needed. Robust economic modelling must occur to identify costs and benefits. In Australia, government interest in nursing student employment appears to wax and wane.
Published: 2021
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26. Liver Transplantation for Acute Liver Injury in Asians Is More Likely Due to Herbal and Dietary Supplements

Author: Umair Masood, Priya Grewal, Joseph A. Odin, Lindsey Channen, Jawad Ahmad, Nitzan C. Roth, and Varun Kesar
Subjects: Adult, Drug, medicine.medical_specialty, media_common.quotation_subject, medicine.medical_treatment, Liver transplantation, Gastroenterology, Article, Asian People, Internal medicine, medicine, Humans, media_common, Liver injury, Acute liver injury, Transplantation, Acute hepatic necrosis, Hepatology, business.industry, medicine.disease, United States, Liver Transplantation, Acetaminophen, Dietary Supplements, Surgery, Chemical and Drug Induced Liver Injury, business, medicine.drug
Abstract: Drug induced liver injury (DILI) due to medications and herbal and dietary supplements (HDS) is a major cause of acute liver injury leading to liver transplantation (LT). This study used United Network for Organ Sharing LT data to analyze severe HDS induced acute liver injury in the United States. By convention, patients with acute DILI are listed as “Acute Hepatic Necrosis” (AHN) under the subheading “AHN: Drug Other Specify”. All patients waitlisted from 1994 to 2020 were divided into 3 subgroups: “HDS DILI”, “Non-HDS DILI”, and “AHN: unknown drug. Analyses were performed to identify epidemiologic differences between HDS DILI and Non-HDS DILI patients. Sub-analysis was performed for transplanted patients, including longitudinal changes. Of 1875 patients waitlisted for LT, 736 (39.2%) underwent LT. The proportion of Asian patients in the HDS DILI group was significantly higher compared to the non-HDS DILI group (17.4% v. 3.8%, p < 0.001). Excluding acetaminophen cases, the proportion of Black patients in the HDS DILI v. non-HDS group was significantly lower (8.7% v. 25.3%, p < 0.001). Waitlisted HDS DILI patients were significantly older (median age 38 y for HDS DILI vs 31 y for non-HDS DILI, p=0.03). Lastly, the number of patients requiring LT due to HDS DILI increased significantly over time with more than 70 % of cases occurring in the last 10 years (2010–2020) compared to the prior 15 years (1994–2009) (P(trend) =0.001). CONCLUSION: Ethnicity may help in identifying the cause of severe acute DILI, a growing problem as more patients experiment with HDS.
Published: 2021
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27. Natural fibers and reduced graphene oxide-based flexible paper electrode for energy storage applications

Author: Muhammad Asif, Aneeqa Masood, S. Hassan M. Jafri, Muhammad Inam Khan, Muhammad Faisal Iqbal, Aamir Razaq, Sultan Akhtar, and Faiza Bibi
Subjects: Horizontal scan rate, Materials science, Working electrode, business.industry, Graphene, Condensed Matter Physics, Capacitance, Atomic and Molecular Physics, and Optics, Energy storage, Electronic, Optical and Magnetic Materials, Dielectric spectroscopy, law.invention, law, Electrode, Optoelectronics, Electrical and Electronic Engineering, Cyclic voltammetry, business
Abstract: In recent era of modern and bendable technology, energy dearth arises as a paramount subject around the globe with a dire demand of flexible and lightweight energy storage devices. This study targets fabrication of reduced graphene oxide (rGO) and utility of abundantly available, cost effective, and environment friendly lignocelluloses (LC) fibers extracted from Carica papaya source, as a binder to bind active material (rGO) as robust and compact paper sheet. Fabricated samples were analyzed by X-ray diffraction for crystallographic analysis, Scanning electron microscopy, Transmission electron microscope for morphology, Fourier transform infrared spectroscopy for structural bonding, and Raman spectroscopy for vibrational modes. Robust and bendable rGO/LC paper electrode was tested for energy storage application by employing in different characterizations, i.e., cyclic voltammetry for capacitive behavior, galvanostatic charge–discharge for symmetric EDLC, and electrochemical impedance spectroscopy for resistive charge kinetics, respectively. rGO/LC composite sheet employed as working electrode in 3-electrode CV measurements and revealed specific capacitance of 591 F/g at a scan rate of 5 mV/s by keeping the undistorted shape of voltammograms at higher scan rates which present it as a suitable candidate for modern flexible and energy storage devices. rGO/LC-based symmetric cell revealed the highest specific capacitance of 228 F/g at applied current density of 0.1 A/g, the energy density of 6.3 Wh/kg, and power density of 129 W/kg, respectively. rGO/LC-based symmetric cell confirmed the cycling stability by revealing capacitance retention of 82% after 200 cycles. It can conclude that biomass-based rGO paper sheet can be a potential candidate as environmentally safe with remarkable electrochemical activity in energy storage applications.
Published: 2021
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28. Endometrial carcinoma: changes to classification (WHO 2020)

Author: Naveena Singh and Mariam Masood
Subjects: Oncology, Neuroendocrine neoplasia, medicine.medical_specialty, Intestinal type, Histology, business.industry, Mesonephric Adenocarcinoma, medicine.disease, Pathology and Forensic Medicine, Internal medicine, medicine, Carcinoma, Adenocarcinoma, Immunohistochemistry, Mucinous carcinoma, business, Who classification
Abstract: Since the 2014 WHO classification of Female Genital Tract tumour, there have been significant improvements in our understanding of the genomic basis of endometrial carcinoma, largely based on the seminal findings from The Cancer Genome Atlas analysis, which have been befittingly included in the newest edition for the subcategorization of endometrioid carcinomas. Nevertheless, morphological classification, with or without the aid of immunohistochemistry, remains paramount to diagnosis and correct patient management, in addition to retaining the global outreach of the 5th Classification in the absence of universal access to molecular testing. In addition to this change in subclassification of endometrioid carcinomas, four new entities have been included within the endometrial carcinoma classification: mesonephric adenocarcinoma, mesonephric-like adenocarcinoma, squamous cell carcinoma and mucinous carcinoma, intestinal type. The subject of Neuroendocrine neoplasia has merited a separate chapter under “Neuroendocrine Neoplasia of Female Genital Tract” in congruence with other body sites. This streamlines the classification and aids management of patients consistently. Additionally, more nuanced information has been included in most other subsections, including novel immunohistochemical markers and relevant prognostic factors. In this short review, we aim to describe the updates to endometrial carcinoma classification in the latest WHO edition.
Published: 2021
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29. Textual analysis of traitor-based dataset through semi supervised machine learning

Author: Asif Masood, Malik Muhammad Zaki Murtaza Khan, Faisal Janjua, Imran Rashid, and Haider Abbas
Subjects: Artificial neural network, Computer Networks and Communications, Computer science, business.industry, Decision tree, Insider threat, 020206 networking & telecommunications, 02 engineering and technology, Machine learning, computer.software_genre, Random forest, Insider, Support vector machine, Identification (information), Naive Bayes classifier, Hardware and Architecture, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Software
Abstract: Insider threats are one of the most challenging and growing security threats which the government agencies, organizations, and institutions face. In such scenarios, malicious (red) activities are performed by the authorized individuals within the company. Because of which, an insider threat has become a taxing and difficult task to identify among other attacks. Along with other monitoring parameters; email logs play a vital role in many research areas such as stalking Insider Threat involving Collaborating Traitors, Textual Analysis, and Social Media exploration. This paper presents a semi-supervised machine learning framework which embraces the pre-processing and classification techniques together for unlabeled dataset i.e. emails. Enron Corporation dataset has been used for experiments and TWOS for evaluation of the proposed framework. Initially, dataset is transformed into vector form using Term Frequency–Inverse Document Frequency (TF–IDF). Thereafter, K-Means is used to classify emails based on message content. Finally, Machine Learning algorithm Decision Tree (DT) is applied to classify the malicious activities. The proposed framework has also been tested with other algorithms such as Logistic Regression (LR), Naive Bayes (NB), KNN, Support Vector Machine (SVM), Random Forest (RF) and Neural Network (NN). However, Decision Tree (DT) combined with pre-processing steps has given the desired results with 99.96% Accuracy and 0.994 AUC for identification of malicious content.
Published: 2021
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30. Social inequalities in meal skipping patterns among children and adolescents: The CASPIAN–V study

Author: Kourosh Nouri, Ali Sheidayi, Mostafa Qorbani, Amir Kasaeian, Roya Kelishadi, Mohammad Esmaeil Motlagh, Ramin Heshmat, Shirin Djalalinia, Dorsa Salimi, Amir-Masood Rafiemanzelat, Kimia Ghaderi, and Hadith Rastad
Subjects: Meal, Nutrition and Dietetics, inequality, Inequality, business.industry, Endocrinology, Diabetes and Metabolism, media_common.quotation_subject, digestive, oral, and skin physiology, Original Articles, RC31-1245, socioeconomic status, children, Medicine, Early adolescents, meal skipping, Original Article, Social inequality, adolescents, business, Socioeconomic status, Internal medicine, Demography, media_common
Abstract: Background & Aim The appropriate meal consumption affects the children's and adolescents' health. Few studies have shown an association between the socioeconomic inequality and the eating behavior among children and adolescents. Therefore, the aim of this study was to assess the socioeconomic inequality in meal skipping patterns among children and adolescents. Materials & Methods The data were accessible through the fifth round of a school‐based program in Iran in 2015. In this cross‐sectional nationwide study, 14,286 students aged 7–18 years were selected via the multistage cluster sampling from 30 provinces of Iran. The Global School‐based Health Survey validated questionnaire was used to assess the socioeconomic variables and meal consumption patterns among children and adolescents. Socioeconomic status (SES) was computed using principle component analysis method. Multivariate logistic regression analysis was used to assess the socioeconomic inequality in meal skipping patterns. Results The frequency of breakfast, lunch, and dinner skipping were 13.8% (95% CI: 13.3–14.5), 6.8% (95% CI: 6.4–7.2), and 7.5% (95% CI: 7.1–7.9), respectively. In multivariate model, living in a two‐parent family compared to living in a single‐parent family decreased the odds of breakfast skipping (OR: 0.53, 95% CI: 0.42–0.67)). Low SES level was associated with higher odds of skipping breakfast (OR: 1.79, 95% CI: 1.50–2.14) and dinner (OR: 1.80, 95% CI: 1.42–2.28). Moreover, maternal illiteracy and unemployment were associated with skipping breakfast, lunch, and dinner (all p values
Published: 2021

31. Virtual Inertia-Based Multipower Level Controller for Inductive Electric Vehicle Charging Systems

Author: Masood Moghaddami, Temitayo O. Olowu, Maryam Mahmoudi, Arif I. Sarwat, and Hassan Jafari
Subjects: Digital electronics, business.product_category, Computer science, business.industry, 020208 electrical & electronic engineering, 05 social sciences, Testbed, Energy Engineering and Power Technology, 02 engineering and technology, Grid, 7. Clean energy, Virtual inertia, Control theory, Frequency grid, Electric vehicle, 0202 electrical engineering, electronic engineering, information engineering, Maximum power transfer theorem, 0501 psychology and cognitive sciences, Electrical and Electronic Engineering, business, 050107 human factors
Abstract: A method of modulating the power level of a grid-supplied inductive Electric Vehicle (EV) charger to provide frequency stabilization to the utility grid is presented. The proposed controller can allow inductive EV charging systems to effectively respond to grid frequency fluctuations by online regulating the charging level and adding high virtual inertia. A new IPT multi-power level controller using simplified digital circuits is designed. The virtual inertia control/controller (VIC) is incorporated into the proposed multi-power level controller which gets the grid frequency measurement and online adjust the IPT’s charging level. Using the proposed VIC IPT charger, the switching cycles, as a result, the power transfer from the grid to the EV can be regulated in response to the grid frequency change. The simulation results of the proposed VIC IPT power controller are presented to show its effectiveness in response to power grid fluctuations. The proposed virtual inertia based controller is experimentally implemented and verified on an IPT setup connected to an actual small-scale Labvolt testbed.
Published: 2021
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32. Improvements in the direct displacement-based design procedure for mid-rise steel MRFs equipped with viscous dampers

Author: Seyed Behdad Alehojjat, Masood Yakhchalian, and Omid Bahar
Subjects: Hazard (logic), Optimal design, Computer science, business.industry, Building and Construction, Structural engineering, Displacement (vector), Damper, Nonlinear system, Seismic hazard, Architecture, Safety, Risk, Reliability and Quality, Reduction (mathematics), business, Roof, Civil and Structural Engineering
Abstract: This paper aims to propose straightforward modifications in the direct displacement-based design (DDBD) procedure to reach an optimal design for mid-rise steel moment-resisting frames (MRFs) equipped with linear fluid viscous dampers (FVDs). The modifications include using an alternative equivalent damping as well as applying the ratio of pseudo-spectral velocity to spectral velocity. To compare the proposed method with respect to the conventional DDBD procedure, the seismic performance of a set of low to mid-rise structures consisting of 3-, 6-, 9- and 12-story steel MRFs is investigated. This is carried out via nonlinear time-history analyses by using a set of design spectrum compatible ground motion records at two seismic hazard levels, i.e., the design earthquake (DE) and maximum considered earthquake (MCE). Furthermore, two different patterns, i.e., uniform and non-uniform, for distribution of damping coefficients at the height of the structures are used. Results show that the proposed method can meet the performance targets defined at the DE and MCE hazard levels. Moreover, the peak roof displacement of the structures that is estimated by the proposed method is acceptably the same as captured via the nonlinear analyses. Finally, implementing the proposed method leads to a reduction in the weight of the steel used in the MRFs in comparison with the structures designed by the conventional DDBD procedure and smaller damper forces, i.e., lighter damper constants, can also be achieved.
Published: 2021
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33. Laminated strand lumber (LSL) reinforced by GFRP; mechanical and physical properties

Author: Moradpour, Payam, Pirayesh, Hamidreza, Gerami, Masood, and Jouybari, Iman Rashidi
Subjects: Lumber -- Analysis -- Chemical properties -- Mechanical properties, Reinforced plastics -- Analysis -- Chemical properties -- Mechanical properties, Business, Construction and materials industries
Abstract: ABSTRACT The effect of glass fiber reinforced polymer (GFRP) on the technical properties of LSL made from poplar (Populus deltoids L) employing pMDI and UF as binders was investigated. Technical [...]
Published: 2018
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34. Diagnostic Accuracy of Stop-Bang Questionnaire in Diagnosing High Risk Patients of Obstructive Sleep Apnea Considering Polysomnography as a Gold Standard

Author: Ali Hassan, Hasham Masood Qureshi, Sunil Dat Maheshwari, Masood uz Zaman Babar, and Rizwan Ali Tunio
Subjects: Obstructive sleep apnea, Pediatrics, medicine.medical_specialty, High risk patients, medicine.diagnostic_test, business.industry, medicine, Stop bang, Diagnostic accuracy, Polysomnography, Gold standard (test), business, medicine.disease
Abstract: Objective: To determine the diagnostic accuracy of stop-bang questionnaire to diagnose high risk patients of obstructive sleep apnea taking polysomnography as gold standard. Methodology: This cross-sectional descriptive study was conducted at Isra University Hospital Hyderabad and help taken from Sleep Disorder Laboratory, The Aga Khan Hospital, Karachi. Patients with age of 18 to 70 years, presenting with symptoms of OSA of either gender were included. History was taken from patients. STOP- BANG Questionnaire was filled out for each patient consenting to participate in the study. All information was noted and entered in the Proforma. Results: Mean age of patients was 40.1 with standard deviation 17.6, mean AHI score was 20 with standard deviation 6 and stop bang score showed average 6.8 with standard deviation 2.7. Distribution of gender showed that most of the patients were male. Diagnostic accuracy calculated for stop bang questionnaire, sensitivity 77.2%, Specificity 65.5%, Positive Predictive Value 75.4%, Negative Predictive Value 67.8%, Diagnostic Accuracy 72.3% of stop bang questionnaire as follows. Conclusion: This study confirms the STOP-Bang questionnaire's high performance in screening for Obstructive sleep apnea (OSA) in the surgical population and sleep clinic. The likelihood of OSA severity increases from moderate to severe with the increasing STOP-Bang score. Keywords: Obstructive sleep apnea, stop-bang questionnaire, apnea-hypopnea index, polysomnogram
Published: 2021
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35. Psychosocial impact of the COVID-19 pandemic on doctors’ children: are we heading towards a mental health pandemic?

Author: Humayun Iqbal Khan, Muhammad Khalid Masood, Najaf Masood, Fatima Tahira, and Riffat Omer
Subjects: medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), business.industry, psc-17, pandemic, Affect (psychology), Mental health, Pediatrics, RJ1-570, Screen time, Mental distress, Family medicine, Intervention (counseling), Pediatrics, Perinatology and Child Health, Pandemic, medicine, Medicine, business, Psychosocial, coronavirus disease 2019 (covid-19)
Abstract: Background The coronavirus pandemic (COVID-19) may affect the behavior of children Non infected children of doctors seem to be susceptible to psychosocial health disorders Objective To assess the psychosocial impact of the COVID-19 pandemic on children of doctors Methods This questionnaire-based survey filled up by doctors was done with the Pediatric Symptom Check List-17 (PSC-17) to assess the psychosocial impact of the COV-ID-19 pandemic on doctors’ children aged 10-15 years with no clinical evidence of being infected with coronavirus and possible contributing factors to mental distress/psychosocial health disorders A PSC-17 Score of ≥15 was considered as a significant indicator of suspected psychosocial impact Results Children’s mean age was 12 5 (SD 1 9) years, and 53 8% of them were male Of 357 questionnaire responses, 36 1% had a significant PSC-17 score (>15) and a small, but significant inverse correlation was observed with age (r=-0 147;P=0 005) More screen time than usual was perceived by doctors to be the most common potential contributing factor (63%) to their children’s psychosocial impact Conclusion The COVID-19 pandemic is likely to leave lasting effects on children’s mental health Parents should closely monitor children for any changes in psychosocial behavior, so that timely intervention can be considered Psychosocial screening of children is needed and should be conducted at schools [Paediatr Indones 2021;61:46-52;DOI: 10 14238/pi61 1 2021 46-52 ] © 2021, Indonesian Pediatric Society Publishing House All rights reserved
Published: 2021

36. Non-fasting OGTT versus Fasting OGTT for screening of Hyperglycaemia in Pregnancy (HIP)

Author: Nusrat Lakho, Shabeen Naz Masood, Saira Saeed, and Yasir Masood
Subjects: Pregnancy, medicine.medical_specialty, endocrine system diseases, GDM, business.industry, Obstetrics, Resource constrained, Gestational age, nutritional and metabolic diseases, Non Fasting OGTT, General Medicine, Creative commons, medicine.disease, Predictive value, Diabetes in Pregnancy (DIP), medicine, Original Article, Hyperglycemia in Pregnancy (HIP), Fasting OGTT, Oral glucose tolerance, business, hormones, hormone substitutes, and hormone antagonists, Non fasting
Abstract: Objectives: To compare the reliability of non-fasting oral glucose tolerance test (OGTT) versus fasting OGTT for screening of hyperglycaemia in pregnancy (HIP). Methods: This cross sectional analytic study was conducted by the Department of Obstetrics & Gynaecology, Isra University Karachi Campus from October 2016 to April 2017. A total of 225 pregnant women irrespective of gestational age were included in the study. They underwent non fasting 75 grams OGTT. Venous plasma glucose was done 02 hours after the glucose load. Same women were advised to come again within three to seven days for fasting OGTT. Venous plasma glucose (VPG) was estimated in fasting and 2 hours post glucose load. Results: Using the non-fasting OGTT, out of 204 women, 32 were diagnosed with hyperglycemia. All these 204 women were again called for fasting OGTT three to seven days after the initial non-fasting OGTT. Only nine were diagnosed with hyperglycemia, out of these nine women, seven women who were screen positive on non-fasting OGTT were found to be screen positive on fasting OGTT as well. However, only two women were additionally diagnosed with hyperglycemia who were initially screen negative on non-fasting OGTT. The non-fasting OGTT has diagnosed HIP with sensitivity of 77.7%, specificity of 87.1%, positive predictive value of 21.8% and negative predictive value of 98.8%. Conclusion: The use of the non-fasting OGTT at first antenatal visit may be a practical approach to detect the HIP as screening and diagnostic tool in the resource constrained settings. doi: https://doi.org/10.12669/pjms.37.4.3979 How to cite this:Masood SN, Lakho N, Saeed S, Masood Y. Non-fasting OGTT versus Fasting OGTT for screening of Hyperglycaemia in Pregnancy (HIP). Pak J Med Sci. 2021;37(4):1008-1013. doi: https://doi.org/10.12669/pjms.37.4.3979 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Published: 2021

37. Frequency of sexual dysfunction in women with diabetes mellitus: A cross-sectional multicenter study

Author: Nusrat Lakho, Saleh Memon, Saira Saeed, Mahnoor Rehman, Yasir Masood, and Shabeen Naz Masood
Subjects: Sexual arousal, media_common.quotation_subject, Female sexual dysfunction, Population, Orgasm, Diseases of the endocrine glands. Clinical endocrinology, Diabetes mellitus, medicine, education, General Environmental Science, media_common, education.field_of_study, business.industry, modified female sexual function index, dyspareunia, medicine.disease, RC648-665, Sexual desire, Sexual dysfunction, female sexual dysfunction, diabetes mellitus, General Earth and Planetary Sciences, Observational study, medicine.symptom, business, Clinical psychology
Abstract: Objectives: Female sexual dysfunction (FSD) with chronic diseases such as diabetes has received little attention globally. The aim of this study is to assess the frequency of sexual dysfunction (SD) in women with diabetes; an aspect of female health that has not been explored in our population. Materials and Methods: This cross-sectional observational study using non-probability convenient purposive sampling technique was carried out at three health facilities of Karachi, for a duration of 1 year. One hundred women with diabetes who consented to participate in the study were included. Pregnant, divorced, widowed, and unmarried females were excluded. Modified female sexual function index (FSFI) was used to gather information. Results: Out of 100 women, 88 women with diabetes completed the interviewer-based modified FSFI survey questionnaire. Among 88 women, 38 (43.2%) reported to have SD, whereas 50 (56.8%) were found to have no significant sexual issues. Partner’s age and occupation were significantly associated with FSD. All parameters of modified FSFI, i.e., sexual desire, arousal, lubrication, orgasm, and dyspareunia, were significantly associated (P < 0.001) with diabetes. Conclusion: Women with diabetes are at increased risk of SD and often do not volunteer information about their sexual issues. The most common cause of SD was dyspareunia, followed by lubrication, orgasm, lack of sexual arousal, and sexual desire. The healthcare providers should be aware to initiate and facilitate the discussion and need to develop their own comfort to talk about sexual issues.
Published: 2021

38. Intelligent Decision Support System for COVID-19 Empowered with Deep Learning

Author: Sagheer Abbas, Muhammad Adnan Khan, Shahan Yamin Siddiqui, Khalid Masood Khan, Iftikhar Naseer, Sultan H. Almotiri, Mohammed A. Al Ghamdi, and Tehreem Masood
Subjects: Coronavirus disease 2019 (COVID-19), Computer science, Early detection, Computed tomography, 02 engineering and technology, Computer security, computer.software_genre, Convolutional neural network, Rapid detection, 030218 nuclear medicine & medical imaging, Biomaterials, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, medicine, Electrical and Electronic Engineering, Pace, medicine.diagnostic_test, business.industry, Deep learning, Intelligent decision support system, Computer Science Applications, Mechanics of Materials, Modeling and Simulation, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer
Abstract: The prompt spread of Coronavirus (COVID-19) subsequently adorns a big threat to the people around the globe The evolving and the perpetually diagnosis of coronavirus has become a critical challenge for the healthcare sector Drastically increase of COVID-19 has rendered the necessity to detect the people who are more likely to get infected Lately, the testing kits for COVID-19 are not available to deal it with required proficiency, along with-it countries have been widely hit by the COVID-19 disruption To keep in view the need of hour asks for an automatic diagnosis system for early detection of COVID-19 It would be a feather in the cap if the early diagnosis of COVID-19 could reveal that how it has been affecting the masses immensely According to the apparent clinical research, it has unleashed that most of the COVID-19 cases are more likely to fall for a lung infection The abrupt changes do require a solution so the technology is out there to pace up, Chest X-ray and Computer tomography (CT) scan images could significantly identify the preliminaries of COVID-19 like lungs infection CT scan and X-ray images could flourish the cause of detecting at an early stage and it has proved to be helpful to radiologists and the medical practitioners The unbearable circumstances compel us to flatten the curve of the sufferers so a need to develop is obvious, a quick and highly responsive automatic system based on Artificial Intelligence (AI) is always there to aid against the masses to be prone to COVID-19 The proposed Intelligent decision support system for COVID-19 empowered with deep learning (ID2S-COVID19-DL) study suggests Deep learning (DL) based Convolutional neural network (CNN) approaches for effective and accurate detection to the maximum extent it could be, detection of coronavirus is assisted by using X-ray and CT-scan images The primary experimental results here have depicted the maximum accuracy for training and is around 98 11 percent and for validation it comes out to be approximately 95 5 percent while statistical parameters like sensitivity and specificity for training is 98 03 percent and 98 20 percent respectively, and for validation 94 38 percent and 97 06 percent respectively The suggested Deep Learning-based CNN model unleashed here opts for a comparable performance with medical experts and it is helpful to enhance the working productivity of radiologists It could take the curve down with the downright contribution of radiologists, rapid detection of COVID-19, and to overcome this current pandemic with the proven efficacy
Published: 2021
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39. Relationship of left ventricular and atrial dimensions with moderate to severe left ventricular diastolic dysfunction (grade II and above)

Author: Muhammad Masood, Hafiz Umar Masood, Maha Nadir, Hassaan Ahmed, Zubair Satti, Muhammad Hamza, Ghazal Tasleem, and Mishal Fatima
Subjects: Adult, Male, Moderate to severe, medicine.medical_specialty, left ventricle, 030231 tropical medicine, Diastole, Doppler echocardiography, Ventricular Function, Left, Ventricular Dysfunction, Left, 03 medical and health sciences, 0302 clinical medicine, Left atrial, Internal medicine, Ventricular relaxation, medicine, Humans, cardiovascular diseases, Aged, Heart Failure, medicine.diagnostic_test, business.industry, Heart, Articles, General Medicine, Middle Aged, medicine.disease, Echocardiography, Doppler, diastolic, medicine.anatomical_structure, Echocardiography, Ventricle, Case-Control Studies, Heart failure, cardiovascular system, Cardiology, Female, Left ventricular diastolic dysfunction, business
Abstract: Introduction: Left ventricular diastolic dysfunction (DD) is an entity in which the ventricle fails to fill up properly due to impaired ventricular relaxation and/or decreased compliance. The diagnosis of diastolic dysfunction is based on a variety of parameters in doppler echocardiograpy. However, some parameters like interventricular septal thickness in diastole (IVSd), posterior wall thickness in diastole (PWd), left ventricular internal end diastolic and systolic diameters (LVIDD and LVISD) along with left atrial diameters (LAD) have yet to be evaluated for the diagnostic workup of DD. Methods: A case control study was done in the cardiology department from patient records from 2016 to 2018. Patients were diagnosed as diastolic dysfunction grade II and above by doppler echocardiography. IVSd, PWd, LVIDD, LAD, LVISD were obtained through 2-D echocardiography. Results: Patients with DD had greater LAD, IVSd and PWd and decreased LVIDD and LVISD as compared to control group. Overall, IVSD was the most significant predictor (OR 1.52 95%CI 1.35-1.71) of DD followed by PWd and LAD. Similarly, LAD, IVSd and PWd had higher sensitivity and specificity than LVIDD and LVIDS. Conclusion: IVSd, LAD and PWd showed significant performance in the diagnosis of diastolic dysfunction and hence can be used as a screening and diagnostic tool in diastolic dysfunction of grade ll and above. Keywords: Heart failure; diastolic; echocardiography; left ventricle.
Published: 2020
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40. Evaluation of the effect of sofosbuvir and daclatasvir in hospitalized COVID-19 patients: a randomized double-blind clinical trial (DISCOVER)

Author: Atefeh Bonyadi, Fariborz Mansour-Ghanaei, Farhang Babamahmoodi, Esmat Radmanesh, Hadiseh Hosamirudsari, Javad Khodadadi, Sara Sayar, Zeinab Mehrabi, Amir Reza Bahadori, Shahin Merat, Minoo Moghimi, Gholamali Eslami, Hashem Mousavi, Lotfollah Davoodi, Mona Ebrahimzadeh, Farahnaz Joukar, Amir Anushiravani, Ali Ali Asgari, Ali Reza Davoudi Badabi, Elham Barahimi, Saeed Jelvay, Zahra Poormontaseri, Aida Zeinali, Nasim Khajavirad, Minoosh Shabani, Hamideh Abbaspour Kasgari, Zohreh Azarkar, Rohollah Moslemi, Ahmad Hormati, Azadeh Ebrahimzadeh, Hani Esmaeilian, Shokrollah Salmanzadeh, Elham Akbarpour, Lili Rezaie Keikhaie, Kaitlyn McCann, Amir Mohammad Shabani, Abdolali Tousi, Mohammad Abdollahi, Sara Mobarak, Mohammadreza Naghipour, Hadi Mirzaei, Mohammadreza Salehi, Shervin Shokouhi, Bryony Simmons, Morteza Mobarak, Helia Nateghi Baygi, Jacob Levi, Mehdi Hassaniazad, Andrew Hill, Zahra Arizavi, Nasrollah Hasooni Bahrini, Seyed Ali Dehghan Manshadi, Fatemeh Dehghani, Hannah Wentzel, Hossein Pourmasoomi, Masoome Noori Jangi, Shoeleh Yaghoubi, Alireza Nateghi Baygi, Mehdi Salasi, Farnaz Zolfaghari, Sara Yeganeh, Elmira Azimi, Jalal Karimi, Hafez Fakheri, Mahdi Afshari, Tofigh Yaghubi Kalurazi, Anahita Sadeghi, Farshid Abedi, Sajedeh Mousaviasl, Zahra Nekoukar, Dorsa Merat, and Masood Ziaee
Subjects: Adult, Microbiology (medical), medicine.medical_specialty, Pyrrolidines, Randomization, Daclatasvir, Coronavirus disease 2019 (COVID-19), Sofosbuvir, Placebo, Antiviral Agents, law.invention, Randomized controlled trial, law, Internal medicine, Clinical endpoint, AcademicSubjects/MED00740, Humans, Medicine, Pharmacology (medical), Original Research, Pharmacology, SARS-CoV-2, business.industry, Imidazoles, COVID-19, Valine, Institutional review board, Clinical trial, AcademicSubjects/MED00290, Treatment Outcome, Infectious Diseases, Relative risk, Carbamates, AcademicSubjects/MED00230, business, medicine.drug
Abstract: Background: The combination of sofosbuvir (SOF) and daclatasvir (DCV) has shown preliminary efficacy for patients with COVID-19 in five open-label studies with small sample sizes. This larger trial aimed to assess if the addition of sofosbuvir and daclatasvir to standard care improved clinical endpoints in hospitalized patients with moderate or severe COVID-19. Methods: This was a placebo-controlled, randomized clinical trial in adults with moderate or severe COVID-19 admitted to 19 hospitals in Iran. Patients were randomized to SOF/DCV 400/60mg once-daily or placebo in addition to standard of care. Patients were included if they had positive PCR or diagnostic chest CT, O 2 saturation
Published: 2021
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41. Colon Cancer with Complete Pathological Response to Only 1 Cycle of Capecitabine: Treatment Modification in the Perspective of COVID-19 Pandemic

Author: Naila Shaikh, Iqra Naeem, Rizwan Masood Sheikh, and Mussadique Ali Jhatial
Subjects: Oncology, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Colorectal cancer, business.industry, Perspective (graphical), Pathological response, General Medicine, medicine.disease, Capecitabine, Internal medicine, Pandemic, medicine, business, Treatment modification, medicine.drug
Abstract: Incidence of colorectal cancer has surged in the past few decades, currently it accounts for approximately 10% cancer related mortality. Upfront curative surgery is the main stay of treatment for localized disease followed by adjuvant chemotherapy for high-risk disease; however, neo adjuvant chemoradiation followed by surgery and chemotherapy is a standard treatment for rectal cancer. Here, we present a case of a young male aged 33 years with eight months’ history of per rectal bleeding, associated with fever and weight loss who was later diagnosed as sigmoid colon adenocarcinoma. The patient managed to have only one cycle of neoadjuvant capecitabine, as his definitive surgery was delayed due to the rife in pandemic situation of Covid-19. Notably, follow up laparoscopic LAR specimen showed no residual disease, nevertheless, there was an eosinophilic abscess with a giant cell reaction and Ova of Ascaris lumbricoides, which seemingly contributed in achieving pathological complete response with minimal therapy.
Published: 2021
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42. Genomic Profiling of Lung Adenocarcinoma in Never-Smokers

Author: Shankha Satpathy, Fernanda Martins Rodrigues, Li Ding, Humam Kadara, Chandra Goparaju, Steven A. Carr, Irena Lanc, Jeffrey P. Ward, Ignacio I. Wistuba, Siddhartha Devarakonda, Ashiq Masood, Robert S. Fulton, Harvey I. Pass, Richard K. Wilson, Lucinda Fulton, Ramaswamy Govindan, Kymberlie H. Pepin, Daniel Morgensztern, Yize Li, Michael A. Gillette, Saiama N. Waqar, and Sumithra Sankararaman
Subjects: Male, Oncology, Cancer Research, medicine.medical_specialty, Lung Neoplasms, Genomic profiling, MEDLINE, Adenocarcinoma of Lung, Text mining, Biology of Neoplasia, Internal medicine, Exome Sequencing, Biomarkers, Tumor, medicine, Humans, Lung cancer, Aged, Lung, business.industry, Smoking, Prognosis, medicine.disease, United States, Never smokers, medicine.anatomical_structure, Normal lung, Mutation, Adenocarcinoma, Female, business, Follow-Up Studies
Abstract: PURPOSE Approximately 10%-40% of patients with lung cancer report no history of tobacco smoking (never-smokers). We analyzed whole-exome and RNA-sequencing data of 160 tumor and normal lung adenocarcinoma (LUAD) samples from never-smokers to identify clinically actionable alterations and gain insight into the environmental and hereditary risk factors for LUAD among never-smokers. METHODS We performed whole-exome and RNA-sequencing of 88 and 69 never-smoker LUADs. We analyzed these data in conjunction with data from 76 never-smoker and 299 smoker LUAD samples sequenced by The Cancer Genome Atlas and Clinical Proteomic Tumor Analysis Consortium. RESULTS We observed a high prevalence of clinically actionable driver alterations in never-smoker LUADs compared with smoker LUADs (78%-92% v 49.5%; P < .0001). Although a subset of never-smoker samples demonstrated germline alterations in DNA repair genes, the frequency of samples showing germline variants in cancer predisposing genes was comparable between smokers and never-smokers (6.4% v 6.9%; P = .82). A subset of never-smoker samples (5.9%) showed mutation signatures that were suggestive of passive exposure to cigarette smoke. Finally, analysis of RNA-sequencing data showed distinct immune transcriptional subtypes of never-smoker LUADs that varied in their expression of clinically relevant immune checkpoint molecules and immune cell composition. CONCLUSION In this comprehensive genomic and transcriptome analysis of never-smoker LUADs, we observed a potential role for germline variants in DNA repair genes and passive exposure to cigarette smoke in the pathogenesis of a subset of never-smoker LUADs. Our findings also show that clinically actionable driver alterations are highly prevalent in never-smoker LUADs, highlighting the need for obtaining biopsies with adequate cellularity for clinical genomic testing in these patients.
Published: 2021
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43. Hydraulic Analysis of Submerged Spillway Flows and Performance Evaluation of Chute Aerator Using CFD Modeling: A Case Study of Mangla Dam Spillway

Author: Ijaz Ahmad, Faraz ul Haq, Muhammad Masood, Zohaib Nisar, Noor M. Khan, Muhammad Kaleem Sarwar, and Ghulam Nabi
Subjects: Spillway, Flood myth, business.industry, Turbulence, Flow (psychology), Large capacity, Computational fluid dynamics, Geotechnical Engineering and Engineering Geology, medicine, Flushing, Environmental science, Aeration, medicine.symptom, business, Civil and Structural Engineering, Marine engineering
Abstract: Submerged spillways with large capacity outlets are generally provided below the dam crest to perform the dual functions of flood disposal and sediment flushing. Flood water passing through these spillways exhibits turbulent behavior. Moreover; hydraulic analysis of such turbulent flows is a challenging task. Therefore, the present study aims to use numerical simulations to examine the hydraulic behavior of submerged spillways constructed at Mangla Dam, Pakistan. Besides, the hydraulic performance of aerator was also evaluated at different operating conditions. Computational fluid dynamics code FLOW 3D was used to numerically model the flows of Mangla Spillway. Reynolds-averaged Navier–Stokes equations are used in FLOW 3D to numerically model the turbulent flows. The study results indicated that the developed model can simulate the submerged spillway flows as it computed the flow parameters with an acceptable error of up to 6%. Moreover, air concentration computed by model near spillway chute bed was 3% which raised to more than 6% after the installation of ramp on aerator which showed that developed model is also capable of evaluating the performance of submerged spillway aerator.
Published: 2021
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44. Posttraumatic Retropharyngeal Pseudomeningocele—A Case Report

Author: Vishal Singh, Vivek Mathew, Masood Laharwal, and Lamkordor Tyngkan
Subjects: medicine.medical_specialty, business.industry, General Engineering, Cervical vertebral fracture, medicine.disease, Dysphagia, Hydrocephalus, Surgery, Pseudomeningocele, Respiratory failure, Radiological weapon, medicine, General Earth and Planetary Sciences, Cyst, medicine.symptom, Complication, business, General Environmental Science
Abstract: A retropharyngeal pseudomeningocele after cervical vertebral fracture dislocation is an extremely rare complication and often associated with hydrocephalus. It usually presents with respiratory difficulty and dysphagia, sometimes as an incidental finding in radiological study. We reported a case of 45-year-old female patient who had posttraumatic lower cervical prevertebral retropharyngeal pseudomeningocele, found as an incidental finding in a routine radiological workup. Patient underwent ACDF but expired 2 weeks postoperatively due to respiratory failure. Although the prognosis of retropharyngeal pseudomeningocele depends upon the severity of initial trauma, early recognition and management can prevent enlargement of cyst and development of respiratory difficulty and dysphagia.
Published: 2021
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45. Association between triage level and outcomes at Médecins Sans Frontières trauma hospital in Kunduz, Afghanistan, 2015

Author: Johan von Schreeb, Linnea Latifa Tounsi, Maximilian P Nerlander, Martin Gerdin Wärnberg, Miguel Trelles, Masood Nasim, Bashir Ahmad Mamozai, Momer Jaweed, and Hadjer Latif Daebes
Subjects: medicine.medical_specialty, business.industry, Public health, Afghanistan, Retrospective cohort study, General Medicine, Emergency department, Critical Care and Intensive Care Medicine, Trauma care, Logistic regression, Intensive care unit, Triage, Hospitals, law.invention, Trauma Centers, law, Emergency medicine, Emergency Medicine, medicine, Global health, Humans, Emergency Service, Hospital, business, Retrospective Studies
Abstract: BackgroundFive million people die annually due to injuries; an increasing part is due to armed conflict in low-income and middle-income countries, demanding resolute emergency trauma care. In Afghanistan, a low-income country that has experienced conflict for over 35 years, conflict related trauma is a significant public health problem. To address this, the non-governmental organisation Médecins Sans Frontières (MSF) set up a trauma centre in Kunduz (Kunduz Trauma Centre (KTC)). MSF’s standardised emergency operating procedures include the South African Triage Scale (SATS). To date, there are few studies that assess how triage levels correspond with outcome in low-resource conflict settingsAimThis study aims to assess to what extent SATS triage levels correlated to outcomes in terms of hospital admission, intensive care unit (ICU) admission and mortality for patients treated at KTC.Method and materialsThis retrospective study used routinely collected data from KTC registries. A total of 17 970 patients were included. The outcomes were hospital admission, ICU admission and mortality. The explanatory variable was triage level. Covariates including age, gender and delay to arrival were used. Logistic regression was used to study the correlation between triage level and outcomes.ResultsOut of all patients seeking care, 28.7% were triaged as red or orange. The overall mortality was 0.6%. In total, 90% of those that died and 79% of ICU-admitted patients were triaged as red.ConclusionThe risk of positive and negative outcomes correlated with triage level. None of the patients triaged as green died or were admitted to the ICU whereas 90% of patients who died were triaged as red.
Published: 2021
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46. Augmented Reality: A New Learning Experience among Health Care Professionals

Author: Masood Jawaid, Anum S Siddiqui, Muhammad Usman Karim, and Zubair Ahmed Siddiqui
Subjects: Learning experience, Medical education, business.industry, Health care, Augmented reality, General Medicine, Psychology, business
Abstract: Background and Objective: Augmented Reality (AR) is an effective tool for learning as well as marketing with multilateral interactive communication. It allows brands to give their customers unique experiences with the convenience of tapping into their mobile devices. This study was conducted to assess the perceptions of healthcare professionals (HCPs) to learn through AR and its effectiveness in HCPs’ engagement and learning experience. Methods: An interventional study was conducted with HCPs across various tertiary care hospitals in Pakistan from May 2020 till December 2020. An AR based activity was carried out with the HCPs where they used pictures of objects around them to create a message. These were geo-tagged to a question related to hypertension and participants answered each question. Mobile application – WallaMe was utilized for this activity. At the end of the activity, HCPs were requested to fill a feedback form based on their experience with the AR app. Data was entered and analyzed by using SPSS version 22. Results: AR stimulated learning gives the participants an overall exciting (80%), captivating (81%), and fruitful learning experience (82%). AR for marketing campaign was more effective for Brand Recall with paper based campaign for 82.8% and more effective than digital campaign for 85.6% participants. AR was recommended by 80% participants for learning and brand recall. Conclusion: AR is a useful tool to enhance user experience for learning as well as improves brand recall and can be used for marketing campaigns.
Published: 2021
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47. Teaching English Language Courses for Tourism and Hospitality Purposes (A Study of Graduates Workplace Needs)

Author: Hassan Qaddumi, Khaled Masood, Samir Rammal, and Hussam Qaddumi
Subjects: Medical education, Environmental Engineering, Hospitality, business.industry, Teaching english, Sociology, business, Industrial and Manufacturing Engineering, Tourism
Abstract: When taking into account Palestinian tourism sites, mastering language English for instance is a prerequisite for serving and offering tourism services in tourist places such as Bethlehem, Jerusalem, Jericho and Hebron after graduation. In Palestine, English for Specific Purposes especially in hospitality and tourism purposes has not been given much investigation in research. Globally, English language is used as a medium of communication in contexts such as hospitality, travel, and tourism. This study examined how English language is used to prepare tourism and hospitability learners who anticipate serving in Palestinian tourism sites. The data indicated that the learners’ perceptions of the courses offered in English are not consistent with their aspirations and perceived academic English language needs, and their response to how they perceive the importance of English language needs was moderate. Based on these findings, the study suggests restructuring these courses and reconsidering the adopted teaching methods to help learners receive proper instruction geared towards intended learning outcomes and meets their future workplace needs. For future studies, it is recommended that quantitative and qualitative researches are needed to be carried out to analyze the actual needs of undergraduate students to the English language in programs hotel management and tourism.
Published: 2021
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48. Empowerment of SME’s sustainability in halal cosmetics’ ecosystem by diagnosing growth constraints

Author: Adlin Masood and Aisyah Zaidi
Subjects: Marketing, Coronavirus disease 2019 (COVID-19), Natural resource economics, media_common.quotation_subject, Sustainability, Ecosystem, Business, Empowerment, Cosmetics, media_common
Abstract: Purpose This study aims to identify and examine the growth constraints of the halal cosmetics ecosystem in which SMEs are operating in, with special focus on the situation in Malaysia. Design/methodology/approach The study adopted a qualitative methodology consisting of a systematic literature review and interviews with selected consumers and policymakers. The instruments were developed based on cybernetics and a systems-based approach, which allows for the understanding of the dynamics of growth variables in the halal cosmetics ecosystem. Based on data gathered, their relationships were mapped and major growth constraints were identified. Findings Cybernetics and systems approach coupled with growth diagnostics framework has enabled identification of comprehensive growth constraint variables for halal cosmetics ecosystem and mapping of growth constraints (variables) in a relationships network. The study found that the enforcement activities of the National Pharmaceutical Research Agency (Cosmetics Unit) directly affect five growth constraints and is associated with three other growth constraint variables; subsequently the most binding growth constraint. The relationship network derived from the mapping of the growth constraints indicated that changes in the behaviour of any element will affect the overall operations of the ecosystem. Research limitations/implications While the cosmetics industry is large and varied, this study is centred on halal colour cosmetics only. The growth constraint variables studied are those chosen by researchers and other growth constraints could be studied to guide policymakers. Future research can revolve around other halal cosmetics business sectors; impact of IR4.0 technology, COVID-19 pandemic impact; crisis and risk management issues, in the halal cosmetics industry. Practical implications The results derived from the cybernetics analysis affirms the “outside-in” marketing perspective, thus stakeholders should continuously monitor changes in the halal cosmetics ecosystem to ensure to ensure sustainability and profitability. Small and medium enterprises (SMEs) and policymakers can initiate pre-emptive actions by conducting simulations of various situations on the halal ecosystem. Social implications Enabled to simulate the effect of changes to the halal cosmetics ecosystem, stakeholders are able to take intervention initiatives, safeguard accessibility to halal cosmetics and make the halal cosmetics industry sustainable. Originality/value To the best of the authors’ knowledge, this is the first comprehensive research to identify the growth constraints of the halal cosmetics industry in Malaysia that focusses on three groups of stakeholders (consumers, SMEs and government institutions) concurrently. The growth constraints relationship network of the halal cosmetics ecosystem can be further used to simulate the impact of changes within the system.
Published: 2021
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49. Upregulated type I interferon responses in asymptomatic COVID-19 infection are associated with improved clinical outcome

Author: Safina Abdul Razzak, Kiran Iqbal Masood, Rabia Hussain, Syed Faisal Mahmood, Iffat Khanum, Najia Karim Ghanchi, Asghar Nasir, Zahra Hasan, Maliha Yameen, Bushra Jamil, Javeria Ashraf, Akbar Kanji, Martin E. Rottenberg, Nosheen Nasir, and Saba Shahid
Subjects: Adult, Male, Science, Immunology, Gene Expression, Disease, Asymptomatic, Microbiology, Antiviral Agents, Severity of Illness Index, Article, Transcriptome, Downregulation and upregulation, Interferon, medicine, Humans, SOCS3, Aged, Multidisciplinary, business.industry, SARS-CoV-2, COVID-19, Computational Biology, virus diseases, Middle Aged, medicine.disease, Computational biology and bioinformatics, Up-Regulation, Gene Expression Regulation, Carrier State, Interferon Type I, Medicine, Female, medicine.symptom, business, Progressive disease, medicine.drug, IRF4
Abstract: Understanding key host protective mechanisms against SARS-CoV-2 infection can help improve treatment modalities for COVID-19. We used a blood transcriptome approach to study biomarkers associated with differing severity of COVID-19, comparing severe and mild Symptomatic disease with Asymptomatic COVID-19 and uninfected Controls. There was suppression of antigen presentation but upregulation of inflammatory and viral mRNA translation associated pathways in Symptomatic as compared with Asymptomatic cases. In severe COVID-19, CD177 a neutrophil marker, was upregulated while interferon stimulated genes (ISGs) were downregulated. Asymptomatic COVID-19 cases displayed upregulation of ISGs and humoral response genes with downregulation of ICAM3 and TLR8. Compared across the COVID-19 disease spectrum, we found type I interferon (IFN) responses to be significantly upregulated (IFNAR2, IRF2BP1, IRF4, MAVS, SAMHD1, TRIM1), or downregulated (SOCS3, IRF2BP2, IRF2BPL) in Asymptomatic as compared with mild and severe COVID-19, with the dysregulation of an increasing number of ISGs associated with progressive disease. These data suggest that initial early responses against SARS-CoV-2 may be effectively controlled by ISGs. Therefore, we hypothesize that treatment with type I interferons in the early stage of COVID-19 may limit disease progression by limiting SARS-CoV-2 in the host.
Published: 2021

50. A time of use tariff scheme for demand side management of residential energy consumers in Bangladesh

Author: Tareq Aziz, Abidur Rahman, Nahid-Al Masood, and Shohana Rahman Deeba
Subjects: Consumption (economics), Strategic planning, Flexibility (engineering), business.industry, Tariff, Demand side management, Environmental economics, TK1-9971, Time of use, Residential consumers, General Energy, Electricity generation, Genetic algorithm, Electricity bill, Electrical engineering. Electronics. Nuclear engineering, Business, Electricity, Block (data storage)
Abstract: The aim of this paper is to develop a new Time of Use (TOU) tariff scheme for Demand Side Management (DSM) of residential consumers in Bangladesh. In this advanced era of technology, the requirement of electrical energy is continuously increasing. However, the overall growth of electricity generation is comparatively slower due to depletion of fuel sources. In this situation, a strategic plan needs to be implemented at consumer end to mitigate the energy crisis. As such, the concept of DSM is introduced where consumers can save electricity bills by changing their consumption pattern. It subsequently reduces the generation requirement during peak hours, which offers operational flexibility and financial benefits to utility. In the literature, DSM has been used in residential, commercial, and industrial sectors. However, the existing techniques do not explicitly consider the low-income consumers when TOU scheme is utilised. It may result in financial repercussion for these consumers. To overcome this challenge, a TOU scheme is proposed in this paper by ensuring financial benefits for all types of residential consumers and utility. To this end, an optimisation model is formulated by taking into account the various consumer groups such as low-income, middle-income and high-income. Two different meters (meter 1 and meter 2) are prudently allocated to these consumers. Using genetic algorithm technique, optimisation model is solved to provide electricity tariff and block sizes for various consumers under two meters. The proposed algorithm is applied to the residential inhabitants of a practical distribution system in Bangladesh. The results suggest that significant amount of annual savings can be achieved simultaneously by consumers and utility. The low-income consumers remain financially least affected while the proposed TOU tariff scheme is executed. In addition, the proposed TOU approach is compared to existing methods and found that optimisation based TOU outperforms the conventional ones.
Published: 2021
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