Author: "To, Ka Wing" / Topic: business - Searchworks@Jio Institute Digital Library Search Results

398 results on '"To, Ka Wing"'

1. Impact of preoperative biliary drainage on postoperative outcomes in hilar cholangiocarcinoma

Author: Ka Wing Ma, Simon H Y Tsang, Tan To Cheung, Wong Hoi She, Albert C. Y. Chan, Wing Chiu Dai, and Chung Mau Lo
Subjects: medicine.medical_specialty, business.industry, medicine.medical_treatment, Urinary system, Subphrenic abscess, Retrospective cohort study, Jaundice, medicine.disease, Comorbidity, Group B, Surgery, Cholangiocarcinoma, Jaundice, Obstructive, Bile Duct Neoplasms, Drainage, Humans, Medicine, Liver function, Hepatectomy, medicine.symptom, business, Klatskin Tumor, Retrospective Studies
Abstract: Background/objective Complete resection is the most effective treatment of hilar cholangiocarcinoma (HC) but may result in high morbidity and mortality. Most HC patients have jaundice, and preoperative biliary drainage may reduce their risk of obstructive jaundice. ERCP and PTBD have been advocated for this purpose. This retrospective study investigated the influence of ERCP versus PTBD versus their combination on the short-term outcomes of curative HC resection. Methods Patients having curative HC resection with preoperative biliary drainage in a span of 26 years were reviewed and divided into groups according to drainage modality. Drainage-related and surgical complications and hospital mortality were compared between groups. Intention-to-treat analysis using a separate set of initial drainage data was performed. Results Eighty-six patients were divided into: Group A, ERCP only, n = 32 (32/86 = 37.2%); Group B, PTBD only, n = 10 (10/86 = 11.6%); Group C, ERCP + PTBD, n = 44 (44/86 = 51.2%). International normalized ratio was significantly higher in Group B (p = 0.008). The three groups were comparable in operative details, hospital stay, and mortality. Fifty-two patients had postoperative complications. Significantly more patients in Groups A and C had subphrenic abscess (A: 25%, B: 0%, C: 9.1%; p = 0.035) and subsequent radiological drainage. Group A had insignificantly more patients with wound infection (31.3% vs 10% vs 22.7%, p = 0.334), chest infection (28.1% vs 20% vs 11.4%, p = 0.178), and urinary tract infection (6.3% vs 0% vs 0%, p = 0.133). The three groups had similar rates of major complications (p = 0.501). They also had comparable survival outcomes (overall, p = 0.370; disease-free, p = 0.569). Fifteen and 71 patients received PTBD and ERCP respectively as first drainage mode. These two groups were comparable in liver function, preoperative comorbidity, intraoperative details, and postoperative outcomes. Conclusion In the preoperative management of HC, the use of ERCP, PTBD or their combination is acceptable and can optimize patients' condition for curative HC resection.
Published: 2022

2. Anticoagulant rodenticide ingestion: Who will develop coagulopathy?

Author: Shan Liu, Chi Keung Chan, and Ka Wing Tam
Subjects: medicine.medical_specialty, business.industry, medicine.drug_class, Anticoagulant, Warfarin, medicine.disease, Emergency Medicine, medicine, Coagulopathy, Ingestion, Rodenticide, Intensive care medicine, business, Superwarfarin, medicine.drug
Abstract: Introduction: Development of coagulopathy after anticoagulant rodenticide ingestion varies among patients. This study aimed to identify factors that were associated with coagulopathy after anticoagulant rodenticide ingestion. Methods: This was a retrospective cohort study, conducted in the Hong Kong Poison Information Centre. All patients who reported rodenticide exposure and presented to the Accident and Emergency Department from 1 January 2010 to 31 December 2019 were recruited. Coagulopathy was defined as International Normalized Ratio of 1.3 or above. Results: One hundred sixty-nine patients were included in the final analysis. The median age was 44 years old. Forty-nine patients developed coagulopathy (International Normalized Ratio ⩾1.3). Univariate analysis (at p Conclusion: Ingestion of more than one pack and ingestion of first-generation anticoagulant rodenticides were significantly associated with the development of coagulopathy after anticoagulant rodenticide ingestion. Patients who developed hypoalbuminemia or elevated alanine aminotransferase level as a result of anticoagulant rodenticide ingestion were also significantly associated with the development of coagulopathy.
Published: 2021

3. A Multiagent Competitive Bidding Strategy in a Pool-Based Electricity Market With Price-Maker Participants of WPPs and EV Aggregators

Author: Jiahan Zhou, Xiang Gao, Kuan Zhang, Shiwei Xia, Xiaoshun Zhang, and Ka Wing Chan
Subjects: Wind power, Operations research, Computer science, business.industry, Market clearing, Stochastic game, Bidding, Computer Science Applications, Control and Systems Engineering, Complete information, Electricity market, Market environment, Electricity, Electrical and Electronic Engineering, business, Information Systems
Abstract: Large-scale renewable energy suppliers and electric vehicles (EVs) are expected to become dominated participants in future electricity market. In this article, a competitive bidding strategy is formulated for wind power plants (WPPs) and EV aggregators in a pool-based day-ahead electricity market. A bilevel multiagent based model is proposed to study their bidding behaviors, with market clearing completion in the lower level and revenue maximization in the upper level. A stochastic framework is developed to incorporate the uncertainties in maximal power production of WPPs and EV aggregators and bid prices of other participants. The process of bidding decision is formulated as a stochastic game with incomplete information, in which electricity suppliers including WPPs and EV aggregators are considered as players of the game, their lack of information in this stochastic market environment is counterbalanced by a multiagent reinforcement learning algorithm named win or learn fast policy hill climbing ( WoLF-PHC ) with maximizing their own profits by self-game. The feasibility and effectiveness of the proposed model and the WoLF-PHC solution approach are successfully illustrated using a modified IEEE 6-bus system and a modified 118-bus system with different numbers of market players.
Published: 2021

4. Impact of Time to Recurrence on Survival Outcome of Salvage Liver Transplantation

Author: Tan To Cheung, Tiffany C.L. Wong, Pak Chiu Wong, Albert C. Y. Chan, Wing Chiu Dai, Ka Wing Ma, Chung Mau Lo, Wong Hoi She, and Sui Ling Sin
Subjects: Oncology, medicine.medical_specialty, Carcinoma, Hepatocellular, Multivariate analysis, Cirrhosis, genetic structures, medicine.medical_treatment, Liver transplantation, Disease-Free Survival, Internal medicine, medicine, Hepatectomy, Humans, Retrospective Studies, Salvage Therapy, Proportional hazards model, business.industry, Liver Neoplasms, Gastroenterology, medicine.disease, Recurrent Hepatocellular Carcinoma, Liver Transplantation, Treatment Outcome, Hepatocellular carcinoma, Surgery, Neoplasm Recurrence, Local, Alpha-fetoprotein, business
Abstract: Salvage liver transplantation (SLT) is the ideal treatment for patients with recurrent hepatocellular carcinoma (HCC) and liver cirrhosis. The optimal timing for offering SLT was controversial. This study aimed at investigating the impact of time to recurrence and other prognostic factors on survival outcome after SLT. Between May 2000 and April 2019, patients who had undergone hepatectomy or ablation for HCC and later received SLT in Queen Mary Hospital were included. Clinico-pathological data during primary treatment and SLT were retrospectively reviewed. Kaplan–Meier analysis and log-rank test were used to determine overall and disease-free survival after SLT. Prognostic factors affecting overall and disease-free survival were determined by multivariate analysis using Cox regression analysis. P-value of less than 0.05 was considered statistically significant. Fifty-three patients were identified within the specified period including 22 patients in early recurrence group (ER group, time to recurrence within 1 year) and 31 patients in late recurrence group (LR group, time to recurrence more than 1 year). The 1-, 5-, and 10-year overall survival after primary treatment was 100%, 76.6%, and 61.1% in the ER group and 100%, 90%, and 76.4% in the LR group (p = 0.59). There were no statistical differences in overall survival (p = 0.84) and disease-free survival (p = 0.85) after SLT between ER and LR group. Pre-transplant alpha-fetoprotein > = 400 ng/mL (p = 0.007) and macrovascular invasion in explant (p = 0.002) were independent risk factors for shorter overall survival after primary treatment. Time to recurrence after primary treatment of HCC did not affect survival outcome after SLT. With careful patient selection, SLT could be offered to patient with early or late tumor recurrence.
Published: 2021

5. Interaction Behavior of Biogenic Material with Electric Arc Furnace Slag

Author: Delin Li, Xianai Huang, Marc A. Duchesne, Ka Wing Ng, L. Giroux, and Ted Todoschuk
Subjects: electric arc furnace, wetting, Materials science, business.industry, carbon, Metallurgy, GHG reduction, Slag, chemistry.chemical_element, Scrap, Induction furnace, Raw material, Fuel, Steelmaking, chemistry, TP315-360, visual_art, visual_art.visual_art_medium, biogenic material, slag foaming, business, Pyrolysis, Carbon, Electric arc furnace
Abstract: Electric arc furnaces (EAFs) are used for steel production, particularly when recycling scrap material. In EAFs, carbonaceous material is charged with other raw materials or injected into molten slag to generate foam on top of liquid metal to increase energy efficiency. However, the consumption of fossil carbon leads to greenhouse gas emissions (GHGs). To reduce net GHG emissions from EAF steelmaking, the substitution of fossil carbon with sustainable biogenic carbon can be applied. This study explores the possibility of the substitution of fossil material with biogenic material produced by different pyrolysis methods and from various raw materials in EAF steelmaking processes. Experimental work was performed to study the effect of biogenic material utilization on steel and slag composition using an induction melting furnace with 50 kg of steel capacity. The interaction of biogenic material derived from different raw materials and pyrolysis processes with molten synthetic slag was also investigated using a tensiometer. Relative to other biogenic materials tested, a composite produced with densified softwood had higher intensity interfacial reactions with slag, which may be attributed to the rougher surface morphology of the densified biogenic material.
Published: 2021

6. Spatio-temporal wind speed prediction of multiple wind farms using capsule network

Author: Huaizhi Wang, Bin Zhou, Siu Wing Or, Yong Li, Ka Wing Chan, Yijia Cao, and Zheng Ling
Subjects: 060102 archaeology, Renewable Energy, Sustainability and the Environment, business.industry, Computer science, 020209 energy, Real-time computing, Training (meteorology), 06 humanities and the arts, 02 engineering and technology, Function (mathematics), Wind speed, Regression, Renewable energy, Nonlinear system, Smart grid, Convergence (routing), 0202 electrical engineering, electronic engineering, information engineering, 0601 history and archaeology, business
Abstract: Spatio-temporal wind speed prediction is of great significance to the grid-connected operation of multiple wind farms in smart grid. This paper proposes a spatio-temporal wind speed prediction method based on capsule network (CapsNet) for geographically dispersed wind farms over a region. In the proposed method, the historical wind speed data from the wind farms are originally converted into chronological images in a 3D space, and the spatial features implicit in the images are extracted by the convolutional operation. Then, the temporal information of wind speed spatial properties is encapsulated in multi-dimensional time-capsules and learned by the dynamic routing mechanism, thus capturing the nonlinear temporal dependencies based on the extracted spatial features. A regression layer activated by the leaky rectified linear unit (Leaky ReLU) function integrates the spatio-temporal features and generates the final prediction results. Furthermore, a two-layer iterative training approach is employed to well-tune the model parameters and accelerate the convergence speed. Finally, the real data of multiple wind farms from Ohio are collected in the case studies to demonstrate the superior performance of the proposed method compared with other forecasting methods.
Published: 2021

7. High-intensity focused ultrasound ablation of liver tumors in difficult locations

Author: Simon H Y Tsang, Shuk Wan Lam, Vince Lau, Ferdinand S. K. Chu, Tan To Cheung, Chung Mau Lo, Wong Hoi She, and Ka Wing Ma
Subjects: liver tumor, Cancer Research, medicine.medical_specialty, Carcinoma, Hepatocellular, Liver tumor, Physiology, medicine.medical_treatment, thermal ablation, Physiology (medical), interventional radiology, Medical technology, medicine, Humans, R855-855.5, Hifu ablation, Rib cage, medicine.diagnostic_test, business.industry, Liver Neoplasms, Hollow viscera, imaging, Interventional radiology, medicine.disease, Ablation, High-intensity focused ultrasound, Hepatocellular carcinoma, high intensity focused ultrasound, High-Intensity Focused Ultrasound Ablation, Radiology, business
Abstract: High-intensity focused ultrasound (HIFU) has been shown to be a valuable tool in the management of small liver tumors such as hepatocellular carcinoma (HCC). It has been shown to be a safe and effective means to ablate small HCC even in the presence of advanced cirrhosis. This review examines the challenges faced during HIFU ablation when the target tumors are located in difficult locations such as the liver dome, close to the rib cage, near large blood vessels or the heart, or adjacent to hollow viscera; and the special maneuvers employed to tackle such lesions.
Published: 2021

8. Rheumatoid arthritis management in the APLAR region: Perspectives from an expert panel of rheumatologists, patients and community oriented program for control of rheumatic diseases

Author: Muhammad Ahmed Saeed, Arvind Chopra, Hsiao-Yi Lin, Supat Thongpooswan, Sargunan Sockalingam, Ka Wing Gavin Lee, James Wee, Tang Ching Lau, Ramesh Jois, Sandra V. Navarra, and Babur Salim
Subjects: medicine.medical_specialty, Asia, business.industry, media_common.quotation_subject, Ethnic group, COVID-19, Disease, Patient advocacy, Arthritis, Rheumatoid, Treatment Outcome, Rheumatology, Antirheumatic Agents, Interim, Family medicine, Patient experience, Health care, Humans, Pain Management, Medicine, Practice Patterns, Physicians', business, Disease burden, Diversity (politics), media_common
Abstract: Rheumatoid arthritis (RA) is a major health burden in Asia Pacific affecting the quality of life of patients and consuming healthcare resources. According to recent estimates from the World Health Organization-International League Against Rheumatism-Community Oriented Program for Control of Rheumatic Diseases, prevalence is around 0.3%-0.5%. Management guidelines have helped to improve treatment across this diverse region. To gain better insight into current real-world management applications in view of these guidelines, virtual meetings were conducted in mid-2020 to explore perspectives of rheumatologists and patients, as well as discuss the impact of coronavirus disease 2019 on RA management. Patients and rheumatologists from Hong Kong, Malaysia, Singapore, the Philippines, Thailand, India, Pakistan, and Taiwan were included, representing a diverse mix of healthcare systems, wealth, ethnicity and culture. Despite many countries having prospered in recent years, similar challenges in RA diagnosis and treatment were identified. The daily impact and patient experience of RA were also similar across countries, marked by "silent" pain and disability, and universal misunderstanding of the disease. Late diagnosis and treatment, and barriers to access to appropriate treatment, remain problematic. The experience shared by Taiwan offers a glimmer of hope, however, wherein patient advocacy groups have succeeded in being included in policy-making decisions and securing access to advanced treatment. Real-world solutions that pay heed to the unique local needs and diversity of Asia Pacific are required to improve RA management, which will take time. In the interim, help can be sought from the trained, non-rheumatologist community to reduce some of the disease burden.
Published: 2021

9. Theory of Mind after Pediatric Traumatic Brain Injury: A Scoping Review

Author: Susan A. Graham, Sunny Guo, Narae Ju, Keith Owen Yeates, Ka Wing Lai, Sage Brown, and Valerie San Juan
Subjects: medicine.medical_specialty, Adolescent, Traumatic brain injury, business.industry, Age Factors, Theory of Mind, Poison control, Neuropathology, medicine.disease, Suicide prevention, Occupational safety and health, Social cognition, Theory of mind, Brain Injuries, Traumatic, Injury prevention, medicine, Humans, Neurology (clinical), Child, business, Psychiatry
Abstract: This scoping review aims to synthesize existing literature regarding theory of mind (ToM) outcomes, the neuropathology associated with ToM outcomes, and the relationship between ToM outcomes and social functioning in children and adolescents with traumatic brain injury (TBI). We searched MEDLINE
Published: 2021

10. The Outcomes of Systemic Treatment in Recurrent Hepatocellular Carcinomas Following Liver Transplants

Author: Thomas Yau, Vikki Tang, Wong Hoi She, Ka Wing Ma, Josephine Tsang, Gerry Gin Wai Kwok, Tan To Cheung, Albert C. Y. Chan, Bryan Cho Wing Li, Kit Shing, Joanne Chiu, Chung Mau Lo, and Roland Leung
Subjects: Sorafenib, 030213 general clinical medicine, medicine.medical_specialty, Carcinoma, Hepatocellular, Antineoplastic Agents, Gastroenterology, Organ transplantation, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Humans, Medicine, Pharmacology (medical), Adverse effect, Retrospective Studies, business.industry, Phenylurea Compounds, Liver Neoplasms, Hazard ratio, General Medicine, medicine.disease, Rheumatology, Liver Transplantation, Clinical trial, Treatment Outcome, Tolerability, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, Neoplasm Recurrence, Local, business, medicine.drug
Abstract: Treatment of hepatocellular carcinoma (HCC) recurrences following liver transplant (LT) is challenging. Most clinical trials of systemic therapies for advanced HCC excluded patients with any history of organ transplant. We aimed to assess the outcomes in using various systemic therapies in patients with post-LT recurrence. Consecutive patients with HCC and recurrences following LT at a large tertiary centre from 2005 to 2018 were reviewed. Overall survival (OS), response rates and adverse events (AEs) were analysed. Forty-three consecutive patients with a recurrence of HCC following LT were identified from 2005 to 2018. Median OS from diagnosis of recurrence was 17 months (CI 11.3, 22.7). Early recurrence within 12 months of transplant was associated with a significantly worse median survival of 10 months (CI 8.5, 11.4) compared to 26 months (CI 18.8, 33.2) when recurrences occurred after 12 months from transplant (p
Published: 2021

11. Role of C11-FDG dual-tracer PET-CT scan in metastatic screening of hepatocellular carcinoma—a cost-effectiveness analysis

Author: Tan To Cheung, Wing Chiu Dai, Chung Mau Lo, Ka Wing Ma, Wong Hoi She, Kenneth S. H. Chok, Kevin K. W. Chu, and Albert C. Y. Chan
Subjects: medicine.medical_specialty, PET-CT, Multivariate analysis, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, medicine.disease, Confidence interval, Metastasis, 03 medical and health sciences, 0302 clinical medicine, Positron emission tomography, 030220 oncology & carcinogenesis, Relative risk, Hepatocellular carcinoma, Medicine, Original Article, 030211 gastroenterology & hepatology, Radiology, business
Abstract: Background: We aimed to identify predictive factors for positron emission tomography (PET)-detected hepatocellular carcinoma (HCC) metastasis and a cost-effective approach to preoperative PET-computed tomography (CT) for detecting metastasis. Methods: Clinicopathological and survival data of HCC patients having PET-CT with 18F-fludeoxyglucose (FDG) and 11C-acetate (ACT) following contrast-enhanced CT/magnetic resonance imaging (MRI) for preoperative tumor staging were reviewed. Binary logistic regression was performed to identify predictive factors for PET-detected metastasis. A cost-benefit analysis model was built for the incurred costs and the impact of PET-CT findings on treatment strategy was studied. Results: Totally 152 patients were analyzed. Dual-tracer PET-CT detected metastasis in 17 patients (11%). By multivariate analysis, alpha-fetoprotein (AFP) ≥400 ng/mL [relative risk (RR): 4.30, 95% confidence interval (CI): 1.41–13.15, P=0.011] and bilobar disease (RR: 3.94, 95% CI: 1.24–12.52, P=0.014) were independent predictive factors for PET-detected metastasis. PET-CT findings altered the treatment strategy for 12 patients (7.9%); three partial hepatectomies, eight episodes of transarterial chemoembolization (TACE) and one episode of ablation were avoided, with an estimated cost-saving of US $91,000, $150,000 and $10,600 respectively. Had the PET-CT been performed only for patients with AFP ≥400 ng/mL or bilobar disease (n=74), metastasis would have been confirmed in 14 patients (18.9%), and the cost-saving per patient was estimated at US $1,070. Conclusions: Dual-tracer PET-CT is cost-effective and useful for preoperative HCC staging in patients with AFP ≥400 ng/mL or bilobar disease. Its routine use in preoperative workup for all HCC patients is not recommended. Unilobar disease with AFP
Published: 2021

12. Safety and immunogenicity of an HIV-1 gp120-CD4 chimeric subunit vaccine in a phase 1a randomized controlled trial

Author: Lydiah Mutumbi, Guido Ferrari, Jennifer Schwartz, Charles E. L. B. Davis, Kelli Greene, Robin Flinko, Monica W. Gerber, Jennifer Husson, Raphael Gottardo, Amy Nelson, Joel V Chua, Celia Mahoney, Bruce L. Gilliam, Ka Wing J. Lam, George K. Lewis, Robert C. Gallo, Ilia Prado, Hongmei Gao, Georgia D. Tomaras, Dan Dong, William Fulp, Timothy R. Fouts, Nicole L. Yates, Mohammad M. Sajadi, Anthony L. DeVico, Bryan T. Mayer, and David C. Montefiori
Subjects: Adult, medicine.medical_treatment, 030231 tropical medicine, HIV Infections, HIV Antibodies, HIV Envelope Protein gp120, Article, Epitope, Chimeric subunit vaccine, 03 medical and health sciences, Immunogenicity, Vaccine, 0302 clinical medicine, medicine, Animals, Humans, 030212 general & internal medicine, HIV vaccine, Adverse effect, AIDS Vaccines, General Veterinary, General Immunology and Microbiology, biology, business.industry, Immunogenicity, Public Health, Environmental and Occupational Health, HIV, CD4i, Vaccination, Infectious Diseases, Immunization, CD4 Antigens, Vaccines, Subunit, Immunology, HIV-1, biology.protein, Molecular Medicine, Antibody, business, Vaccine, Adjuvant, Full-length single chain (FLSC)
Abstract: A major challenge for HIV vaccine development is to raise anti-envelope antibodies capable of recognizing and neutralizing diverse strains of HIV-1. Accordingly, a full length single chain (FLSC) of gp120-CD4 chimeric vaccine construct was designed to present a highly conserved CD4-induced (CD4i) HIV-1 envelope structure that elicits cross-reactive anti-envelope humoral responses and protective immunity in animal models of HIV infection. IHV01 is the FLSC formulated in aluminum phosphate adjuvant. We enrolled 65 healthy adult volunteers in this first-in-human phase 1a randomized, double-blind, placebo-controlled study with three dose-escalating cohorts (75 µg, 150 µg, and 300 µg doses). Intramuscular injections were given on weeks 0, 4, 8, and 24. Participants were followed for an additional 24 weeks after the last immunization. The overall incidence of adverse events (AEs) was not significantly different between vaccinees and controls. The majority (89%) of vaccine-related AE were mild. The most common vaccine-related adverse event was injection site pain. There were no vaccine-related serious AE, discontinuation due to AE, intercurrent HIV infection, or significant decreases in CD4 count. By the final vaccination, all vaccine recipients developed antibodies against IHV01 and demonstrated anti-CD4i epitope antibodies. The elicited antibodies reacted with CD4 non-liganded Env antigens from diverse HIV-1 strains. Antibody-dependent cell-mediated cytotoxicity against heterologous infected cells or gp120 bound to CD4+ cells was evident in all cohorts as were anti-gp120 T-cell responses. IHV01 vaccine was safe, well tolerated, and immunogenic at all doses tested. The vaccine raised broadly reactive humoral responses against conserved CD4i epitopes on gp120 that mediates antiviral functions.
Published: 2021

13. Relevance of chemotherapy and margin status in colorectal liver metastasis

Author: Wong Hoi She, Ka Wing Ma, Simon H Y Tsang, Wing Chiu Dai, Albert C. Y. Chan, Chung Mau Lo, and Tan To Cheung
Subjects: medicine.medical_specialty, Multivariate analysis, medicine.medical_treatment, 030230 surgery, Gastroenterology, Metastasis, 03 medical and health sciences, 0302 clinical medicine, Margin (machine learning), Internal medicine, medicine, Hepatectomy, Humans, Retrospective Studies, Chemotherapy, business.industry, Liver Neoplasms, Margins of Excision, Prognosis, medicine.disease, Survival Rate, Cardiothoracic surgery, 030220 oncology & carcinogenesis, Resection margin, Surgery, Colorectal Neoplasms, business, Abdominal surgery
Abstract: This retrospective, single-center study aimed to investigate the importance of chemotherapy and to come up with the optimal liver resection margin length for patients with resectable colorectal liver metastasis (CRLM). Patients who had undergone any form of liver resection for CRLM were reviewed and analyzed. The analyses were broken down into three parts: (1) overall effect of chemotherapy, (2) effect of chemotherapy with positive/negative resection margin, and (3) result of discriminative analysis with optimal margin length analysis. In total, 381 patients were studied. Among them, 279 received chemotherapy whereas 102 did not. Survival was significantly better in patients with chemotherapy (5-year, 43.6% vs. 25.8%) (p < 0.001). Patients who received chemotherapy (n = 93) with negative margins had better survival than patients (n = 8) with positive margins (5-year, 28.1% vs. 0%) (p = 0.019). On multivariate analysis, margin involvement was the poor prognostic factor for survival. Patients who had chemotherapy (n = 238) with negative margin showed a trend of better survival than patients (n = 41) with positive margins (5-year, 45.7% vs. 29.3%) (p = 0.085). Patients (n = 93) with negative margin and no chemotherapy and patients (n = 41) with positive margin and chemotherapy had comparable survival at 5 years (p = 0.422). On multivariate analysis, tumor number was the prognostic factor for survival. By the discriminant method, 1.09 cm (sensitivity 0.242, specificity 0.718) was determined as the cut-off for optimal margin length. Patients who had margin ≥ 1.09 cm (n = 81) enjoyed significantly better survival (5-year, 54.3% vs. 33.5%) (p = 0.041). On multivariate analysis, margin length ≥ 1.09 cm was the prognostic factor for favorable survival. The results demonstrated the important effect of perioperative chemotherapy and negative margin liver resection in management of patients suffered from CRLM.
Published: 2021

14. 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, 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Dinh, Tri Dinh, Alex Dipper, Laura Dirmantaite, Lisa Ditchfield, Sarah Diver, Lavanya Diwakar, Caroline Dixon, Giles Dixon, Stephen Dixon-Mould, Brice Djeugam, Petr Dlouhy, Laurence Dobbie, Marinela Dobranszky Oroian, Charlotte Dobson, Lee Dobson, Marie Docherty, David Dockrell, James Dodd, Jackie Dodds, Rebecca Dodds, Steve Dodds, Richi Dogra, Erin Doherty, Warren Doherty, Yumiko Doi, Iain Doig, Eleanor Doke, Daniel Dolan, Mark Dolman, Rozzie Dolman, Lisa Donald, Callum Donaldson, Christopher Donaldson, Denise Donaldson, Gillian Donaldson, Kate Donaldson, Joanne Donnachie, Christopher Donnelly, Eilish Donnelly, Ronan Donnelly, Aravindhan Donohoe, Gemma Donohoe, Bryan Donohue, Sinead Donton, Emma Dooks, Grainne Doran, Kane Dorey, Sharon Dorgan, Amanda Dornan, Moonira Dosani, Davinder Dosanjh, Paula Dospinescu, Katie Douglas, Jonathan Douse, Lucy Dowden, Michelle Dower, Kerry Dowling, Sud Dowling, Nicola Downer, Charlotte Downes, Rob Downes, Thomas Downes, Damian Downey, Philippa 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Eagles, Joanne Early, Melissa Earwaker, Nicholas Easom, Clare East, Kim East, Amy Easthope, Fraser Easton, Caroline Eaton, Caroline Eaton-Howell, Ruth Eatough, Adrian Ebbs, Oluwadamilola Ebigbola, Daniel Ebner, Martin Ebon, Sinan Eccles, Chloe Eddings, Michael Eddleston, Maureen Edgar, Katharine Edgerley, Nicholas Edmond, Julie Edmonds, Dave Edmondson, Mary Edmondson, Tracy Edmunds, Alexandra Edwards, Catherine Edwards, Joy Edwards, Kennedy Edwards, Mandy Edwards, Tomos Edwards, Jenny Eedle, Dawn Egginton, Loveth Ehiorobo, Sarah Eisen, Ugochukwu Ekeowa, Mohamed Ekoi, Ayomide Ekunola, Soha El Behery, Moulod El-Agnaf, Mohamed Elbeshy, Kate El-Bouzidi, Jennifer Elder, Mohammed El-Din, Diana Eleanor, Ibrahim Eletu, Eman Elfar, Mayy Magdy Elgamal, Amr Elgohary, Stellios Elia, Jennifer Elias, Tania Elias, Nadia Elkaram, Mohammed El-Karim, Andrew Victor Elkins, Julie Ellam, Nikki Ellard, Laura Nicola Ellerton, Lucy Elliot, Amy Elliott, Chris Elliott, Fiona Elliott, Kerry Elliott, Scott Elliott, Toby Elliott, Annie Ellis, Ann-Marie Ellis, Christine Ellis, Kay Ellis, Kaytie Ellis, Tak-Yan Ellis, Yvette Ellis, Megan Ellison, Rahma Elmahdi, Einas Elmahi, Hannah-May Elmasry, Mohammed Elmi, Najla Elndari, Omer Elneima, Mohamed Elokl, Ahmed Elradi, Mohamed Elsaadany, Sally El-Sayeh, Hana El-Sbahi, Tarek Elsefi, Karim El-Shakankery, Robert Elshaw, Hosni El-Taweel, Sarah Elyoussfi, Jonathan Emberey, Jonathan R Emberson, John Emberton, Julian Emmanuel, Ingrid Emmerson, Michael Emms, Florence Emond, Marieke Emonts, Nicu Enachi, Angila Engden, Katy English, Emma Entwistle, Hene Enyi, Marios Erotocritou, Helen Escreet, Peter Eskander, Hanif Esmail, Lise Estcourt, Amy Evans, Brynach Evans, Chris Evans, Daren Evans, Debra Evans, Gail Evans, Gareth Evans, Jennifer Evans, Lisa Evans, Lynn Evans, Margaret Evans, Michelle Evans, Mim Evans, Morgan Evans, Ranoromanana Evans, Ryan Evans, Teriann Evans, Terry John Evans, Tony Eve, Caroline Everden, Serenydd Everden, Hayley Evison, Lynsey Evison, Penny Eyton-Jones, Jacqueline Faccenda, Leila Fahel, Youstina Fahmay, Sara Fairbairn, Terry Fairbairn, Andy Fairclough, Louise Fairlie, Mark Fairweather, Anne Fajardo, Naomi Falcone, Euan Falconer, Jonathan Falconer, John Fallon, Andrea Fallow, David Faluyi, Victoria Fancois, Qayyum Farah, Novin Fard, Amr Farg, Margaret Farinto, Adam Farmer, Katie Farmer, Toni Farmery, Samantha Farnworth, Faiyaz Farook, Hadia Farooq, Sidrah Farooq, Fiona Farquhar, Karen Farrar, Aaron Farrell, Barbara Farrell, James Farthing, Syeda Farzana, Rahmatu Fasina, Azam Fatemi, Mina Fatemi, Nibah Fatimah, Maria Faulkner, Saul N Faust, Joe Fawke, Sinmidele Fawohunre, Abul Fazal, Kelly Feane, Simon Fearby, Alex Feben, Federico Fedel, Daria Fedorova, James Feely-Henderson, Christopher Fegan, Mae Felongco, Lynsey Felton, Tim Felton, Kate Fenlon, Andrea Fenn, Isabelle Fenner, Ciara Fenton, Melisa Fenton, Cameron Ferguson, Jenny Ferguson, Kathryn Ferguson, Katie Ferguson, Stephanie Ferguson, Susan Ferguson, Susie Ferguson, Victoria Ferguson, Denzil Fernandes, Candida Fernandez, Eduardo Fernandez, Maria Fernandez, Sonia Fernandez Lopez, Callum Jeevan Fernando, Ahmed Feroz, Pietro Ferranti, Thais Ferrari Gersogamo, Eleanor Ferrelly, Alexandra Ferrera, Emma Ferriman, Nicholas Fethers, Ben Field, Janet Field, Rebecca Field, Karen Fielder, Lindsey Fieldhouse, Andra Fielding, Julie Fielding, Len Fielding, Sarah Fielding, Asma Fikree, Sarah Ann Filson, Sarah Finbow, Debbie Finch, Joanne Finch, Laurie Finch, Joanne Finden, Natalie Fineman, Lauren Finlayson, Adam Finn, Joanne Finn, Clare Finney, Sofia Fiouni, Jo Fiquet, Dani Fisher, Emily Fisher, James Fisher, Neil Fisher, Meadow Fisher Crisp, Daniel Fishman, Krystofer Fishwick, Lorraine Fitzgerald, Chloe Fitzpatrick-Creamer, Jan Flaherty, Michael Flanagan, Charles Flanders, Cathy Flatters, Julie Fleming, Lucy Fleming, Paul Fleming, William Flesher, Alison Fletcher, Jonathan Fletcher, Lucy Fletcher, Simon Fletcher, Sophie Fletcher, Karen Flewitt, Christopher Flood, Ian Floodgate, Vincent Florence, Sharon Floyd, Kelly Flynn, Rachel Flynn, Sara Flynn, Claire Foden, Adama Fofana, Georgina Fogarty, Claire Foley, Paul Foley, Linda Folkes, Daniela Mock Font, Evodian Fonyonga, Aiwyne Foo, Jane Foo, Andrew Foot, Jayne Foot, Jane Forbes, Jamie Ford, Kathy Ford, Jennifer Foreman, Caroline Fornolles, Adam Forrest, Ellie Forsey, Miranda Forsey, Thomas Forshall, Elliot Forster, Julian Forton, Emily Foster, Joseph Foster, Rachel A Foster, Tracy Foster, Theodora Foukanelli, Angela Foulds, Ian Foulds, Folakemi Fowe, Emily Fowler, Robert Fowler, Stephen Fowler, Caroline Fox, Claire Fox, Daniel Fox, Heather Fox, Jonathan Fox, Lauren Fox, Natalie Fox, Olivia Fox, Simon Fox, Sarah-Jane Foxton, Yasin Fozdar, Rebecca Frake, Alex Francioni, Olesya Francis, Rebecca Francis, Sarah Francis, Theodora Francis-Bacon, Jason Frankcam, Helen Frankland, Gayle Franklin, Jessica Franklin, Darron Franks, Catherine Fraser, Laura Fraser, Sharon Frayling, Martyn Fredlund, Matthew Free, Carol Freeman, Elaine Freeman, Hannah Freeman, Nicola Freeman, Clare Freer, Ian Freestone, Eleanor French, Matthew Frise, Renate Fromson, Claire Froneman, Adam Frosh, John Frost, Victoria Frost, Oliver Froud, Rachel Frowd, Arun Fryatt, Jake Fryer, Janet Fu, Bridget Fuller, Liz Fuller, Neil Fuller, Tracy Fuller, Duncan Fullerton, Jenny Fullthorpe, Carrie Fung, Gayle Fung, Sarah Funnell, John Furness, Charlene Furtado, Andrew Fyfe, Nytianandan G, Elizabeth Gabbitas, Claire Gabriel, Diana Gabriel, Hadiza Gachi, Rose Gad, Joshua Gahir, Sarveen Gajebasia, Katarzyna Gajewska-Knapik, Zacharoula Galani, Christopher Gale, Hugo Gale, Rebecca Gale, Swetha Gali, Karen Galilee, Bernadette Gallagher, Jude Gallagher, Rosie Gallagher, William Gallagher, Joanne Galliford, Catherine Galloway, Chris Galloway, Emma Galloway, Jacqui Galloway, James Galloway, Laura Gamble, Liz Gamble, Brian Gammon, Jaikumar Ganapathi, Ramesh Ganapathy, Kaminiben Gandhi, Sarah Gandhi, Usha Ganesh, 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 Gomez-Marcos, Ali Gondal, Celia Gonzalez, Jack Goodall, Bob Goodenough, Laura Goodfellow, James Goodlife, Camelia Goodwin, Elizabeth Goodwin, Jayne Goodwin, Paula Goodyear, Rajiv Gooentilleke, Sharif Goolam-Hossen, Michelle Goonasekara, Sheila Gooseman, Shameer Gopal, Peter Gordon, Sally Gordon, Hugh Gorick, Caitlin Gorman, Claire Gorman, Stuart Gormely, Diana Gorog, Jan Gorry, Michelle Gorst, Thomas Gorsuch, Jayshreebahen Gosai, Rebecca Gosling, Sally Gosling, Georgina Gosney, Vanessa Goss, Dzintars Gotham, Naomi Gott, Elizabeth Goudie, Amanda Gould, Angela Gould, Susan Gould, Lysander Gourbault, Anna Gouveia, Abha Govind, Sharon Gowans, Girish Gowda, Rohit Gowda, Pauline Gowdy, Hannah Gower, Thomas Gower, Pankaj Goyal, Sunil Goyal, Sushant Goyal, Beverley Graham, Clive Graham, Jane Graham, Jonathan Graham, Justin Graham, Libby Graham, Sharon Graham, Matthew Graham-Brown, Julia Grahamslaw, Gianluca Grana, Tracyanne Grandison, Louis Grandjean, Alison Grant, Ann Grant, David Grant, 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Griffiths, Yvonne Griffiths, Sofia Grigoriadou, Steph Grigsby, Paul Grist, Stephen Grist, Evelina Grobovaite, Clarissa Grondin, Rachel Groome, Liliana Grosu, Jenny Grounds, Margaret Grout, Helen Grover, Jayne Groves, Neil Grubb, Julie Grundy, Francesca Guarino, Sharada Gudur, Sharazeq Guettari, Shivang Gulati, Vikas Gulia, Pumali Gunasekera, Malin Gunawardena, Kirun Gunganah, Jessica Gunn, Emma Gunter, Alok Gupta, Atul Gupta, Rajeev Gupta, Richa Gupta, Rishi Gupta, Tarun Gupta, Vineet Gupta, Ankur Gupta-Wright, Victoria Guratsky, Alvyda Gureviciute, Sambasivarao Gurram, Bhawana Gurung, Shraddha Gurung, Hazel Guth, Ruth Habibi, Berkin Hack, Pamela Hackney, Christian Hacon, Aiman Haddad, Denise Hadfield, Michalis Hadjiandreou, Nikolaos Hadjisavvas, Leah Hadzik, Anna Haestier, Nauman Hafiz, Rana Hafiz-Ur-Rehman, Javed Hafsa, Samantha Hagan, Jack W Hague, Rosemary Hague, Kate Haigh, Christina Haines, Scott Hainey, Morton Hair, Brigid Hairsine, Juraj Hajnik, Anne Haldeos, Writaja Halder, Jennie Hale, Carmel Halevy, Paul Halford, William Halford, Alistair Hall, Anthony Hall, Claire Hall, Elizabeth Hall, Emma Hall, Fiona Hall, Helen Hall, Jennifer Hall, Kathryn Hall, Bill Hall, Jan Hallas, Kyle Hallas, Charles Hallett, Becky-Lee Halls, Heather Halls, Maryam Hamdollah-Zadeh, Bilal Hameed, Imran Hamid, Mohamad Hamie, Bethany Hamilton, Fergus Hamilton, Leigh Hamilton, Nicola Hamilton, Ruth Hamlin, Eleanor Hamlyn, Beatrice Hammans, Shirley Hammersley, Kate Hammerton, Bev Hammond, Leah Hammond, Sara Hammond, Fiona Hammonds, Ibrahim Hamoodi, Karen Hampshire, Elizabeth Hampson, Jude Hampson, Lucy Hampson, Ozan Hanci, Ian Hancock, Sadiyah Hand, Jasmine Handford, Soran Handrean, Sarah Haney, Sheharyar Hanif, E Hanison, Alison Hanlon, Jennifer Hannah, Amy Hannington, Merhej Hannun, Aidan Hanrath, Anita Hanson, Jane Hanson, Kathryn Hanson, Steve Hanson, Helen Hanwell, Mazhar Ul Haq, Ala Haqiqi, Monjurul Haque, Lesley Harden, Zoe Harding, Simon Hardman, Joanna Hardy, Kumar Haresh, 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 Hassan, Ali Hassan, Wagae UI Hassan, Waqar Ul Hassan, Sapna Hassasing, Jane Hassell, Philip Hassell, Alex Hastings, Bethany Hastings, Janice Hastings, Stephanie Hatch, Jonathan Hatton, Sheryl Haviland, May Havinden-Williams, Stefan Havlik, Daniel B Hawcutt, Kadean Hawes, Liz Hawes, Nicola Hawes, Annie Hawkins, Catherine Hawkins, Nancy Hawkins, Tanya Hawkins, Dan Hawley, Ed Hawley-Jones, Edward Haworth, Cathy Hay, Amna Hayat, Jamal Hayat, Mohamed-Riyal Hayathu, Tamsin Haydon, Anne Hayes, Jonas Hayes, Kate Hayes, Melony Hayes, Vanessa Hayes, Fiona Hayes, Patrick Hayle, Chloe Haylett, Antara Hayman, Melanie Hayman, Matthew Haynes, Richard Haynes, Rachel Hayre, Sarah Haysom, James Hayward, Patrick Haywood, Tracy Hazelton, Phoebe Hazenberg, Zhengmai He, Elizabeth Headon, Carrie Heal, Brendan Healy, Amy Hearn, Angela Heath, Rowan Heath, Diane Heaton, Kerry Hebbron, Gemma Hector, Andy Hedges, Katrine Hedges, Cheryl Heeley, Elaine Heeney, Rajdeep Heire, Ulla Hemmila, Cassie Hemmings, Scott 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Hill, Phoebe Hill, Uta Hill, Annette Hilldrith, Elizabeth Hillerby, Catherine Hillman-Cooper, Elisabeth Hilton, Zoe Hilton, Sarah Hinch, Marcus Hinde, Andrew Hindle, Alice Hindmarsh, Paul Hine, Kim Hinshaw, Clare Hird, Alison Hirst, Jemma Hives, Benson Ho, Michaela Hoare, David Hobden, Gill Hobden, Maria Hobrok, Simon Hobson, Renate Hodge, Simon Hodge, Lesley Hodgen, Holly Hodgkins, Louise Hodgkinson, Sally Hodgkinson, David Hodgson, Helen Hodgson, Luke Hodgson, Sheila Hodgson, Gemma Hodkinson, Kenneth Hodson, Matthew Hogben, Lucy Hogg, Lee Hoggett, Abigail Holborow, Catherine Holbrook, Catherine Holden, Melinda Holden, Thomas Holder, Niels Holdhof, Hannah Holdsworth, Lisa Holland, Maureen Holland, Nicky Holland, Marie Hollands, Elizabeth Holliday, Nina Holling, Gillian Hollis, Laszlo Hollos, Linda Holloway, Simon Holloway, Marcus Hollyer, Amy Holman, Ann Holmes, Benjamin Holmes, Megan Holmes, Raphael Holmes, Rebecca Holmes, Kelly Holroyd, Caroline Holt, Lyndsey Holt, Siobhan Holt, 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 Huckle, Shahzya Huda, Alison Hudak, Lisa Hudig, Alex Hudson, Cara Hudson, Heather Hudson, Peter Hudson, Oli Hudson, Alison Hufton, Connor Huggins, Alistair Hughes, Eithne Hughes, Emma Hughes, Gareth Hughes, Heather Hughes, Luke Hughes, Rachel Hughes, Rebecca Hughes, Samantha Hughes, Stephen Hughes, Vikki Hughes, Wesley Hughes, Lukas Huhn, Ching Hui, Ruth Hulbert, Diana Hull, Grace Hull, Robert Hull, Amanda Hulme, Peter Hulme, Wendy Hulse, George Hulston, Ryan Hum, Laura Humber, Megan Hume, Charlotte Humphrey, Ismay Humphreys, Alasdair Humphries, Joanne Humphries, Lena Hunold, Fiona Hunt, Kristen Hunt, Luke Hunt, Sophie Hunt, Al Hunter, Alexandra Hunter, Isobel Hunter, Karl Hunter, Neil Hunter, George Huntington, Elizabeth Hurditch, Cian Hurley, Katrina Hurley, Mohammed A Husain, Syeda Yusra Husaini, Coralie Huson, Afreen Hussain, Ibraar Hussain, Ifza Hussain, Mohammad Hussain, Muhammad Hussain, Reda Hussain, Sajid Hussain, Samia Hussain, Sanniah Hussain, Wasim Hussain, Yasmin Hussain, 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 Kenny, Kelly Kent, Melanie Kent, Lynne Keogan, Alexander Keough, Clement Kerlin, A Kerr, Andrew Kerr, Maria Kerr, Caroline Kerrison, Anthony Kerry, Samantha Kershaw, Helen Kerslake, Ian Kerslake, Helen Kerss, Jocelyn Keshet-Price, Margaret Kevern, Georgina Keyte, Abdul Khadar, Ali Khalid, Muhammad U Khalid, Syed Khalid, Amir Khalil, Asma Khalil, Sijjad Khalil, Abubakar Khan, Ali Khan, Al-Imran Khan, Arham Khan, Asad Khan, Aurangzeb Khan, Burhan Khan, Camran Khan, Fatimah Khan, Kausik Khan, Malik Aamaz Khan, Marria Khan, Mehrunnisha Khan, Mohammad Khan, Mohammed Khan, Nayeem Khan, Omar Khan, Rahe Khan, Rahila Khan, Sabiya Khan, Shabana Khan, Shahul Khan, Shoaib Khan, Tasaduksultan Khan, Waseem Khan, Usman F Khatana, Jibran Khatri, Jyoti Khatri, Hafiza Khatun, Taslima Khatun, Mena Kheia, Jacyntha Khera, Htet Ei Khin, Najaf Khoja, Kiran Khokhar, Jayne Khorsandi, Chloe Khurana, Faith Kibutu, Andrew Kidd, Michelle Kidd, Joe Kidney, Shane Kidney, Will Kieffer, James Kilbane, Caroline Kilby, Eileen Killen, Susan Kilroy, Bomee Kim, Jee Whang Kim, Sarah Kimber, Andy King, Barbara King, Jennifer King, Kirsten King, Rachel King, Sarah King, Tony King, Victoria King, Emily King-Oakley, Laura Kingsmore, Andy King-Venables, Fiona Kinney, Sidra Kiran, Jeremy Kirk, Jodie Kirk, Daniel Kirkbride, Amy Kirkby, Ian Kirker, Emily Kirkham, Gemma Kirkman, Ursula Kirwan, Kelly Kislingbury, Toby Kitching, Laura Kitto, Lauren Kittridge, Sarah Klaczek, Frieder Kleemann, Susan Kmachia, Chris Knapp, Lucy Knibbs, Alicia Knight, Fraser Knight, Marian Knight, Sarah Knight, Steven Knight, Tom Knight, Ellen Knights, Jane Knights, Toby Knights, Martin Knolle, Carol Knott, Charlotte Knowles, Karen Knowles, Laurence Knowles, Emily Knox, Lucy Knox, Oliver Koch, Ronan Kodituwakku, Gouri Koduri, Aisha Koirata, Eirene Kolakaluri, Magdalena Kolodziej, Eirini Kolokouri, Keith Kolsteren, Samantha Kon, Niladri Konar, Mari Kononen, Athanasios Konstantinidis, Hui Fen Koo, Imogen Koopmans, Emmanuela Kopyj, Laura Korcierz, James Korolewicz, George Koshy, Chris Kosmidis, Jalpa Kotecha, Easwari Kothandaraman, Leonidas Koukouflis, Koushan Kouranloo, Rukhsana Kousar'c, Margarita Kousteni, Maja Kovac, Alex Kozak Eskenazia, Kestutis Krasauskas, Raghu Krishnamurthy, Vinodh Krishnamurthy, Manju Krishnan, Hari Krishnan, Suzanne Krizak, Sean Krupej, Agnieszka Kubisz-Pudelko, Soren Kudsk-Iversen, Aurimas Kudzinskas, Chirag Kukadiya, Nainesha Kulkarni, Aditi Kumar, Mayur Kumar, Ramesh Kumar, Ravi Kumar, Rita Kumar, Rupa Kumar, Satish Kumar, Vimal Kumar, Arun Kundu, Heinke Kunst, Amit Kurani, Mohammed Kurdy, Rincy Kurian, Vimal Kurmars, Cameron Kuronen-Stewart, Ranganai S Kusangaya, Vlad Kushakovsky, Mandy Kuunal, Apexa Kuverji, Amma Kyei-Mensah, Thyra Kyere-Diabour, Moe Kyi, Nyan M Kyi, Laura Kyle, Karali-Tsilimpari Kyriaki, Julius Labao, Louise Lacey, Nikki Lack, Emma Ladlow, Heather Lafferty, Shondipon Laha, Sushil Lahane, Clement Lai, James Lai, Emma Laing, Robert Laing, Inez Laing-Faiers, Emily Laity, 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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Kateryna Macconaill, Chloe Macdonald, Stuart MacDonald, Tania MacDonald, Claire Macfadyen, James G Macfarlane, Jill Macfarlane, Laura Macfarlane, Cara MacGuigan, Lisa MacInnes, Iain MacIntyre, Jill MacIntyre, Kirsten Mack, Callum Mackay, Euan Mackay, Laura Mackay, Alexander Mackenzie, Matt Mackenzie, Robert MacKenzie Ross, Ami Mackey, Patricia Mackey, Fiona Mackie, Robert Mackie, Carolyn Mackinlay, Claire Mackintosh, Katherine Mackintosh, Sheila MacLennan, Mary Joan MacLeod, Michael Macmahon, Andrew MacNair, Catherine Macphee, Iain Macpherson, Catriona Macrae, Allan MacRaild, Eilidh MacVean, Alannah Madden, Mary Madden, Norman Madeja, Karen Madgwick, Pradeep Madhivathanan, Madhavi Madhusudhana, Harriet Madiyiko, Alpha Madu, Lorraine Madziva, Marion Mafham, Nick Magee, Frederick Magezi, Tim Maggs, Negar Maghsoodi, Christopher Magier, Marios Magriplis, Kathryn Maguire, Natasha Mahabir, Subramanian Mahadevan-Bava, Anjanie Maharajh, Ajit Mahaveer, Bal Mahay, Kanta Mahay, Hibo Mahdi, Thushika Mahendiran, Siva Mahendran, Sarah Maher, Anistta Maheswaran, Shameera Maheswaran, Tina Maheswaran, Parisa Mahjoob-Afag, Ahmed Mahmood, Farhana Mahmood, Waheed Mahmood, Zahra Mahmood, Hager Mahmoud, Ewan Mahony, Luke Mair, Toluwani Majekdunmi, Kesson Majid, Rupert Major, Jaydip Majumdar, Mohammad KH Majumder, Stephen Makin, Marius Malanca, Hannah Malcolm, Flora Malein, Neeraj Malhan, Ayesha Malik, Gulshan Malik, Mohammed Maljk, Paul Mallett, Petrina Mallinder, Georgia Mallison, Louise Mallon, Edward Malone, Gracie Maloney, Edgar Malundas, Madhu Mamman, Irene Man, Kathy Man, Rossana Mancinelli, Marco Mancuso-Marcello, Tracy Manders, Lauren Manderson, Justin Mandeville, Roope Manhas, Carmen Maniero, Ravi Manikonda, Bobby Mann, Jonathan Manning, Lynne Mannion, Katherine Mansi, Katarina Manso, Dina Mansour, Isheunesu T Mapfunde, Predeesh Mappa, Hemant Maraj, Garikayi Marange, Lisa March, Clare Marchand, Neil Marcus, Maria Marecka, Gomathi Margabanthu, Jordi Margalef, Lavinia Margarit, Georgios Margaritopoulos, Mike Margarson, Fernandez M Maria del Rocio, Teresa Maria Pfyl, Victor Mariano, Helen Maria-Osborn, Ashleigh Maric, Grace Markham, John Markham, Maria Marks, Pamela Marks, Elisabeth Marouzet, Arran Marriott, Cheryl Marriott, Nemonie Marriott, Brian Marsden, Karen Marsden, Paul Marsden, Sarah Marsden, Tracy Marsden, Robyn Marsh, Adam Marshall, Andrew Marshall, Gail Marshall, Henry Marshall, Jaimie Marshall, James Marshall, Jenna Marshall, Nicola Marshall, Riley Marshall, Jennifer Marshall, Samantha Marston, Emmeline Martin, Hayley Martin, Hope Martin, Jane Martin, Karen Martin, Kate Martin, Laila Martin, Michael Martin, Noelia Martin, Tim Martin, Winston Martin, Sarah Martin, Tim Martindale, Marcus Martineau, Alexander Martinez, Lauren Martinez, Jose Carlos Martinez Garrido, Juan Martin-Lazaro, Olivia Martins, Lucas Martins Ferreira, Vijay Kumar Maruthamuthu, Gemma Maryan, Roman Mary-Genetu, Sam Maryosh, Vidan Masani, Diego Maseda, Sheila Mashate, Yasaman Mashhoudi, Al Mashta, Izhaq Masih, Sanna Masih, Nick Maskell, Perry Maskell, Matthew Masoli, Lynn Mason, Rebecca Mason, Richard Mason, Ruth Mason, Claire Mason, Mohammad Masood, Mohammad T Masood, Syed Masood, Syed SME Masood, Aaqib Masud, Lear Matapure, Cristina Matei, Ropafadzo Matewe, Manraj Matharu, Stephy Mathen, Alex Mather, Nicole Mather, Jonathan Mathers, Joanna Matheson, Amal Mathew, Anna Mathew, Moncy Mathew, Verghese Mathew, Caroline Mathews, Jesha Mathews, Kate Mathias, Marion Mathie, Darwin Matila, Wadzanai Matimba-Mupaya, Nashaba Matin, Elina Matisa, Max Matonhodze, Elijah Matovu, Jaysankar Mattappillil, Alison J Matthews, Heather Matthews, Helen Matthews, Sue Matthews, Gwynn Matthias, Fiona Maxton, Adam Maxwell, Gemma Maxwell, Veronica Maxwell, James May, Joanne May, Oliver May, Philippa May, Irving Mayanagao, Matthew Maycock, Graham Mayers, Lee Maynard, Shelley Mayor, Ibreaheim Mazen, Andrea Mazzella, Nyambura Mburu, Mercy Mbwembwe, Martyn McAdam, Eleanor McAleese, Helinor McAleese, Paul McAlinden, Audrey McAlpine, Graeme McAlpine, Jonathan McAndrew, Hamish McAuley, Sarah McAuliffe, Claire McBrearty, Carole McBride, Erin McBride, Michael McBuigan, James McBurney, Laura McCabe, Amanda McCairn, Martina McCalmont, Jake McCammon, Nicole McCammon, Conor McCann, Alexandra McCarrick, Brendan McCarron, Eoghan McCarthy, Michelle McCarthy, Natalie McCarthy, Sinead McCaughey, Gareth McChlery, Tara McClay, Beverley McClelland, Declan McClintock, Patricia McCormack, Jacqueline McCormick, Wendy McCormick, Paul McCourt, Jame McCrae, Sharon McCready, Allison McCreath, Gordan McCreath, Helen McCreedy, Louise McCreery, Iain J McCullagh, Josephine McCullagh, Liz McCullagh, Megan McCullagh, Conor McCullough, Katherine McCullough, Nicola McCullough, Sarah McCullough, Fiona McCurrach, Rory McDermott, Katharine McDevitt, Helen McDill, Basil McDonald, Claire McDonald, Debbie McDonald, Rob McDonald, Sam McDonald, Damhnaic McDonald, Rowan McDougall, Irene 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Mollet, Malid Molloholli, Aoife Molloy, April Molloy, Linda Molloy, Andrew Molyneux, Tasnim Momoniat, Holly Monaghan, Josephine Monaghan, Krista Monaghan, Shiva Mongolu, Katelyn Monsell, Mahmoud Montasser, Alan Montgomery, Hugh Montgomery, Prebashan Moodley, Ian Moody, Margaret Moody, Nick Moody, Angela Moon, James Moon, Ji-Hye Moon, Maria Moon, May Moonan, Parvez Moondi, Alex Moore, Carly Moore, Christopher Moore, Davidjar Moore, Faye Moore, Gillian Moore, Hannah Moore, Judith Moore, Laura Moore, Sally Moore, Sonia Moore, Tracy Moore, Rachel Moores, Ed Morab, Jose Morales, Nuria Moramorell, Louise Moran, Grishma Moray, Jeronimo Moreno-Cuesta, Adam Morgan, Amy Morgan, Christine Morgan, Colin Morgan, Jackie Morgan, Lauren Morgan, Leila Morgan, Matthew Morgan, Patrick Morgan, Katie Morgan-Jones, Emily Morgan-Smith, Anna Morley, Thomas Morley, Wendy Morley, Anna Morris, Damian Morris, Fiona Morris, Helen Morris, Juliet Morris, Katie Morris, Laura Morris, Lucy Morris, Mary-Anne Morris, Niall Morris, Paul Morris, Sheila Morris, Susan Morris, Douglas Morrison, Moira Morrison, Mary Morrissey, Anna Morrow, Chantal Morrrell, Franca Morselli, Gordon Mortem, Chelsea Morton, Gordon Morton, Rosna Mortuza, Priti Morzaria, Alison Moss, Charlotte Moss, Rachel Moss, Sarah Moss, Stuart Moss, Nicki Motherwell, Johanna Mouland, Caroline Moulds, Hilary Moulton, Lorraine Mounsey, Elizabeth Mousley, Karen Moxham, Borja Moya, Quberkani Moyo, Eunice Mshengu, Sheila Mtuwa, Ali Muazzam, Iqtedar A Muazzam, Nykki Muchenje, Dalia Mudawi, Girish Muddegowda, Imran Mugal, Ahsan Mughal, Javaid Muglu, Javed Muhammad, Alison Muir, Carol Muir, Martin Muir, Dipak Mukherjee, Syed Asim Ali Mukhtar, Denise Mukimbiri, Tshinupay Mukwa, Peter Mulgrew, Ben Mulhearn, Arafat Mulla, Dee Mullan, Dileepkumar Mullasseril Kutten, Niall Mullen, Rosemary Mullett, Sandra Mulligan, Barbara Mullin, Joanne Mullings, Lana Mumelj, Andrew Mumford, Sarah Mumford, Mohammed Munavvar, Henry Munby, Anne-Marie Munro, Sheila Munt, Nafissah Munu, McDonald Mupudzi, Arshid Murad, Oluwatosin H Muraina, Koteshwara Muralidhara, Diane Murdoch, Mhairi Murdoch, Jennifer Murira, Alison Murphy, Carl Murphy, Emily Murphy, Fidelma Murphy, Gail Murphy, Jo Murphy, Peter Murphy, Sheenagh Murphy, Simon Murphy, Clare Murray, David Murray, Eleanor Murray, Katie Murray, Kenneth Murray, Lisa Murray, Lorna Murray, Tracey Murray, Eoin Murtagh, Mithun Murthy, Catherine Murton, Rosie Murton, Neeka Muru, Rosemary Musanhu, Maimuna Mushabe, Kaiser Mushtaq, Omaisa Mushtaq, Ahmed M Mustafa, Elhaytham Mustafa, Mustafa Mustafa, Ibrahim Mustapha, Zhain Mustufvi, Callum Mutch, Eric Mutema, Balakumar Muthukrishnan, Sheree Mutton, Natasha Muzengi, Memory Mwadeyi, Bettina Mwale, Esther Mwaura, Raji Myagerimath, Alice Myers, Sam Myers, Khin Swe Myint, Yadee Myint, Libor Myslivecek, Helen Nabakka, Evelyn Nadar, Iftikhar Nadeem, Moosa Nadheem, Asma Naeem, Hassan Naeem, Salman Naeem, Samraiz Nafees, Mohamed Nafei, Parminder Naga, Thapas Nagarajan, Imrun Nagra, Deepak Nagra, Mina Naguib, Kirushthiga Naguleswaran, K Shonit Nagumantry, Kevin Naicker, Sarveshni Naidoo, Gireesha Naik, Rishi Naik, Samir Naik, Devu S Nair, Rajiv Nair, Tanushree Nair, Jay Naisbitt, Kerry Naismith, Sri Nallapareddy, Soum Nallapeta, Arumugan Nallasivan, Uttam Nanda, Aarti Nandani, Ali Raza Naqvi, Asadullah Naqvi, Sara Naqvi, Shruthi Narayan, Sophia Nasa, Dominic Nash, Nader Nasheed, Abdul Nasimudeen, Umer Nasir, Marwan Nassari, Tahir Nasser, Anushka Natajaran, Anuja Natarajan, Geetha Natarajan, Nalin Natarajan, Nikhila Natarajan, Rajkumar Natarajan, Noel Nathaniel, Mala Nathvani, Priyan Nathwani, George Nava, Neena Navaneetham, Jeya Navaratnam, Helen Navarra, Sadaf Naveed, John Navin, Khuteja Nawaz, Sarfaraz Nawaz, Shasta Nawaz, Bonilla Nayar, Suzanne Naylor, Moez Nayyar, Farrah Naz, Mobeena Naz, Salima Nazarali, Babak Nazari, S Nazir, Sehar Nazir, Dumisani Ncomanzi, Onyine Ndefo, Alan Neal, Elaine Neary, Mostafa Negmeldin, Paula Neill, Hector E Neils, Avideah Nejad, Louise Nel, Marie Nelson, Richard Nelson, Scott Nelson, Rajesh Nemane, Samiksha Nepal, Daniel Nethercott, Kimberley Netherton, Kimberley Nettleton, Claire-Michelle Neville, Tracy Nevin, Josephine Newanji, Alison Newby, Angela Newby, David Newby, Tracy Newcombe, Charlotte Newman, Diana Newman, Julie Newman, Oscar Newman, Richard Newman, Tabitha Newman, Thomas Newman, Rachel Newport, Claire Newsam, Christopher Newson, Maria Newton, Anthony YKC Ng, Ka Wing Ng, Maxine Ng, Sarah Ng, Wee Jin Ng, Thomas Ngan, Gabriel CE Ngui, Alice Ngumo, Caoimhe Nic Fhogartaigh, Nathalie Nicholas, Philip Nicholas, Rachel Nicholas, Teresa Nicholas, Donna Nicholls, Lisa Nicholls, Alice Nicholson, Anne Nicholson, Annette Nicholson, Janet Nicholson, Ian Nickson, Eileen Nicol, Elizabeth Nicol, Rebecca Nicol, Pantelis Nicola, Antony Nicoll, Pantzaris Nikolaos, Georgii Nikonovich, Annette Nilsson, Kofi Nimako, Louise Nimako, Camus Nimmo, Preethy Ninan, Mahesh Nirmalan, Muhammad Nisar, Toby 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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

15. A review on radiofrequency, microwave and high-intensity focused ultrasound ablations for hepatocellular carcinoma with cirrhosis

Author: Ka Wing Ma, Tan To Cheung, and Wong Hoi She
Subjects: medicine.medical_specialty, Radiofrequency ablation, business.industry, medicine.medical_treatment, Microwave ablation, Liver transplantation, medicine.disease, Ablation, High-intensity focused ultrasound, law.invention, 03 medical and health sciences, 0302 clinical medicine, law, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, medicine, 030211 gastroenterology & hepatology, Radiology, Liver cancer, business, Ablation zone
Abstract: Importance Hepatocellular carcinoma (HCC) is usually accompanied by liver cirrhosis, which makes treatment of this disease challenging. Liver transplantation theoretically provides an ultimate solution to the disease, but the maximal surgical stress and the scarcity of liver graft make this treatment option impossible for some patients. In an ideal situation, a treatment that is safe and effective should provide a better outcome for patients with the dilemma. Objective This article aims to give a comprehensive review of various types of loco-ablative treatment for HCC. Evidence review Loco-ablative treatment bridges the gap between surgical resection and transarterial chemotherapy. Various types of ablative therapy have their unique ability, and evidence-based outcome analysis is the most important key to assisting clinicians to choose the most suitable treatment modality for their patients. Findings Radiofrequency ablation (RFA) has a relatively longer history and more evidence to support its effectiveness. Microwave ablation (MWA) is gaining momentum because of its shorter ablation time and consistent ablation zone. High-intensity focused ultrasound (HIFU) ablation is a relatively new technology that provides non-invasive treatment for patients with HCC. It has been carried out at centers of excellence and it is a safe and effective treatment option for selected patients with HCC and liver cirrhosis. Conclusion and relevance Selective use of different loco-ablative therapies will enhance clinicians' treatment options for treatment of HCC.
Published: 2021

16. Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study

Author: Michael Ying, Hoi Ying Fong, Pak Leung Yuen, Ka Wing Wan, Ho Fung Ip, Chun Hoi Wong, and Dejian Fan
Subjects: 0301 basic medicine, Color histogram, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, CAD, Machine learning, computer.software_genre, Convolutional neural network, 03 medical and health sciences, 0302 clinical medicine, Classifier (linguistics), Medical imaging, medicine, Radiology, Nuclear Medicine and imaging, Breast ultrasound, medicine.diagnostic_test, business.industry, Random forest, 030104 developmental biology, 030220 oncology & carcinogenesis, Original Article, Artificial intelligence, F1 score, business, Algorithm, computer
Abstract: BACKGROUND: In recent years, there was an increasing popularity in applying artificial intelligence in the medical field from computer-aided diagnosis (CAD) to patient prognosis prediction. Given the fact that not all healthcare professionals have the required expertise to develop a CAD system, the aim of this study was to investigate the feasibility of using AutoML Vision, a highly automatic machine learning model, for future clinical applications by comparing AutoML Vision with some commonly used CAD algorithms in the differentiation of benign and malignant breast lesions on ultrasound. METHODS: A total of 895 breast ultrasound images were obtained from the two online open-access ultrasound breast images datasets. Traditional machine learning models (comprising of seven commonly used CAD algorithms) with three content-based radiomic features (Hu Moments, Color Histogram, Haralick Texture) extracted, and a convolutional neural network (CNN) model were built using python language. AutoML Vision was trained in Google Cloud Platform. Sensitivity, specificity, F1 score and average precision (AUCPR) were used to evaluate the diagnostic performance of the models. Cochran’s Q test was used to evaluate the statistical significance between all studied models and McNemar test was used as the post-hoc test to perform pairwise comparisons. The proposed AutoML model was also compared with the current related studies that involve similar medical imaging modalities in characterizing benign or malignant breast lesions. RESULTS: There was significant difference in the diagnostic performance among all studied traditional machine learning classifiers (P0.05). CONCLUSIONS: In this study, the performance of AutoML Vision was not significantly different from that of Random Forest (the best classifier among traditional machine learning models) and CNN. AutoML Vision showed relatively high accuracy and comparable to current commonly used classifiers which may prompt for future application in clinical practice.
Published: 2021

17. An Operation Model for Distribution Companies Using the Flexibility of Electric Vehicle Aggregators

Author: Xi Lu, Shiwei Xia, Ka Wing Chan, Mohammad Shahidehpour, and Wing Ho Ng
Subjects: Flexibility (engineering), 021103 operations research, business.product_category, General Computer Science, business.industry, Computer science, 020209 energy, 0211 other engineering and technologies, Robust optimization, 02 engineering and technology, Automotive engineering, Energy storage, Renewable energy, Power (physics), Electric vehicle, 0202 electrical engineering, electronic engineering, information engineering, Portfolio, business, Energy (signal processing)
Abstract: An operation model for distribution companies (DISCOs) is proposed to reduce their operation costs by fully utilizing the flexibility of electric vehicle aggregators (EVAs). In the proposed model, linear decision rules approximation is adopted to achieve mathematical tractability, and distributionally robust optimization is applied to evaluate costs affected by uncertainties in renewable power outputs and EVA charging demands. Case studies are conducted under various settings. With the proposed model, using EVAs to mitigate uncertainties is achieved and is further classified into delaying uncertainties and eliminating uncertainties. As a result, average penalties for DISCO’s deviations from its planned energy portfolio are reduced. Besides, EVA charging demands are shifted to hours with lower energy prices to reduce energy costs of DISCO. Using EVAs to mitigate uncertainties and shifting EVA charging demands are properly coordinated under the proposed model. Moreover, power losses in EVA charging and discharging are utilized to reduce the scale of uncertainties, which decreases average penalties for energy deviations of DISCO.
Published: 2021

18. Impact of Inverter-Based Resources on Negative Sequence Quantities-Based Protection Elements

Author: Aboutaleb Haddadi, Evangelos Farantatos, Ka Wing Chan, Ulas Karaagac, Ilhan Kocar, and Mingxuan Zhao
Subjects: Identification scheme, Wind power, Computer science, business.industry, 020209 energy, Energy Engineering and Power Technology, 02 engineering and technology, Fault (power engineering), Overcurrent, Electric power system, Control theory, 0202 electrical engineering, electronic engineering, information engineering, Inverter, Electrical and Electronic Engineering, Power-system protection, business, Voltage
Abstract: Inverter-Based Resources (IBRs), including Wind turbine generators (WTGs), exhibit substantially different negative-sequence fault current characteristics compared to synchronous generators (SGs). These differences may cause misoperation of customary negative-sequence-based protective elements set under the assumption of a conventional SG dominated power system. The amplitude of the negative-sequence fault current of a WTG is smaller than that of an SG. This may lead to misoperation of the negative-sequence overcurrent elements 50Q/51Q. Moreover, the angular relation of the negative-sequence current and voltage is different under WTGs, which may result in the misoperation of directional negative-sequence overcurrent element 67Q. This paper first studies the key differences between the WTGs and SG by comparing their equivalent negative-sequence impedances with SG's. Then, simulation case studies are presented showing the misoperation of 50Q and 67Q due to wind generation and the corresponding impact on communication-assisted protection and fault identification scheme (FID). The impact on directional element is also experimentally validated in a hardware-in-the-loop real-time simulation set up using a physical relay. Finally, the paper studies the impact of various factors such as WTG type (Type-III/Type-IV) and Type-IV WTG control scheme (coupled/decoupled sequence) to determine the key features that need to be considered in practical protection studies. The objective is to show potential protection misoperation issues, identify the cause, and propose potential solutions.
Published: 2021

19. Optimal Coordination of Electric Vehicles for Virtual Power Plants With Dynamic Communication Spectrum Allocation

Author: Siqi Bu, Ka Wing Chan, Xiang Gao, Bin Zhou, Kuan Zhang, Xi Lu, and Canbing Li
Subjects: business.industry, Computer science, Distributed computing, 020208 electrical & electronic engineering, Vehicle-to-grid, 02 engineering and technology, Computer Science Applications, Frequency allocation, Scheduling (computing), Virtual power plant, Cognitive radio, Smart grid, Control and Systems Engineering, Distributed generation, 0202 electrical engineering, electronic engineering, information engineering, Wireless, Electrical and Electronic Engineering, business, Information Systems
Abstract: This article proposes an optimal coordinated scheduling of electric vehicles (EVs) for a virtual power plant (VPP) considering communication reliability. Recent advancements on wireless technologies offer flexible communication solutions with wide coverage and low-cost deployment for smart grid. Nevertheless, the imperfect communication may deteriorate the monitoring and controlling performance of distributed energy resources. An interactive approach is presented for combined optimization of dynamic spectrum allocation and EV scheduling in the VPP to coordinate charging/discharging strategies of massive and dispersed EVs. In the proposed approach, a dynamic partitioning model of the multi-user multi-channel cognitive radio is used to cope with the vehicle-to-grid (V2G) communication issue due to variable EV parking behaviors, and a two-stage V2G dispatch scheme is proposed for the wind-solar-EV VPP to maximize its overall daily profit. Furthermore, the effects of packet loss probability on the VPP scheduling performance and battery degradation cost are thoroughly analyzed and investigated. Comparative studies have been implemented to demonstrate the superior performance of the proposed methodology under various imperfect communication conditions.
Published: 2021

20. An Evaluation Framework for Second-Life EV/PHEV Battery Application in Power Systems

Author: Yuxin Sun, Ka Wing Chan, Ming Niu, Hui Jiang, Ning Zhou Xu, Songjian Chai, Chi Yung Chung, and Energy Research Institute @ NTU (ERI@N)
Subjects: Battery (electricity), Optimization problem, Battery degradation, General Computer Science, Computer science, Total cost, battery repurposing, Battery Energy Storage System, Energy storage, end-of-life (EOL), Electric power system, economic dispatch (ED), Battery Degradation, General Materials Science, business.industry, General Engineering, Economic dispatch, battery energy storage system (BESS), Renewable energy, Reliability engineering, TK1-9971, Electricity generation, Electrical and electronic engineering [Engineering], Electrical engineering. Electronics. Nuclear engineering, business, electric vehicle (EV)
Abstract: Energy storage is essential for balancing the generation and load in power systems. Building a battery energy storage system (BESS) with retired battery packs from electric vehicles (EVs) or plug-in hybrid electric vehicles (PHEVs) is one possible way to subsidize the price of EV/PHEV batteries, and at the same time mitigating forecast error introduced by load and renewable energy sources in power systems. This paper proposes a detailed framework to evaluate end-of-life (EOL) EV/PHEV batteries in BESS application. The framework consists of three parts. A generalized model for battery degradation is first introduced. It is followed by modeling the battery retirement process in its first life. Two vehicle types - EV and PHEV - as well as two retirement modes - nominal and realistic modes - are considered. Finally, the application of the second-life BESS in power systems is modeled in a detailed economic dispatch (ED) problem. This is how second-life BESS's performance translates into cost savings on power generation. An optimization problem is formulated to maximize total cost savings in power generation over the battery's second life. This is done by striking a balance between short-term benefit (daily cost savings) and long-term benefit (cost savings through service years). Numerical results validate the effectiveness of the proposed framework/models. They show that battery usage and retirement criterion in its first life directly affect the performance in its second life application. In our case study, EV battery packs possess larger EOL energy capacities and consequently generate more cost savings in the second life. However, the BESS built from retired PHEV batteries has higher cost savings per MWh. It is because, with the proposed degradation model, battery health is better preserved in PHEV applications. Compared to nominal retirement mode, realistic retirement mode results in extra cost savings due to the reduced first-life service years. Energy Market Authority (EMA) National Research Foundation (NRF) Published version This work was supported in part by the Energy Market Authority and the National Research Foundation Singapore under Grant NRF2017EWT-EP003-038, in part by the National Key Research and Development Program of China under Grant 2019YFB1505400, and in part by the Foundation of Shenzhen Science and Technology Committee under Grant GJHZ20180928160212241 and Grant JCYJ20190808165201648.
Published: 2021

21. Intra‐mental or intra‐cranial? On Brentano's concept of immanent object

Author: Ka‐wing Leung
Subjects: Philosophy, business.industry, Computer vision, Artificial intelligence, business, Object (philosophy)
Published: 2020

22. Pure laparoscopic versus open major hepatectomy for hepatocellular carcinoma with liver F4 cirrhosis without routine Pringle maneuver – A propensity analysis in a single center

Author: Ka Wing Ma, Simon H Y Tsang, Albert C. Y. Chan, Tan To Cheung, Chung Mau Lo, Wong Hoi She, and Wing Chiu Dai
Subjects: Adult, Liver Cirrhosis, Male, medicine.medical_specialty, Cirrhosis, Pleural effusion, Operative Time, Single Center, Gastroenterology, 03 medical and health sciences, Postoperative Complications, 0302 clinical medicine, Internal medicine, medicine, Hepatectomy, Humans, Prospective Studies, Propensity Score, Aged, Aged, 80 and over, business.industry, Liver Neoplasms, Length of Stay, Middle Aged, medicine.disease, Survival Rate, Treatment Outcome, Oncology, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, Propensity score matching, Hong Kong, Female, Laparoscopy, 030211 gastroenterology & hepatology, Surgery, Liver function, Complication, Liver cancer, business
Abstract: Background /Aim: Laparoscopic hepatectomy has been gaining popularity but its evidence in major hepatectomy for cirrhotic liver is lacking. We studied the long-term outcomes of the pure laparoscopic approach versus the open approach in major hepatectomy without Pringle maneuver in patients with hepatocellular carcinoma (HCC) and cirrhosis using the propensity score analysis. Methods We reviewed patients diagnosed with HCC and cirrhosis who underwent major hepatectomy as primary treatment. The outcomes of patients who received the laparoscopic approach were compared with those of propensity-case-matched patients (ratio, 4:1) who received the open approach. The matching was made on the following factors: tumor size, tumor number, age, sex, hepatitis serology, HCC staging, comorbidity, and liver function. Results Twenty-four patients underwent pure laparoscopic major hepatectomy for HCC with cirrhosis. Ninety-six patients who underwent open major hepatectomy were matched by propensity scores. The laparoscopic group had less median blood loss (300 ml vs 645 ml, p = 0.001), shorter median hospital stay (6 days vs 10 days, p = 0.002), and lower rates of overall complication (12.5% vs 39.6%, p = 0.012), pulmonary complication (4.2% vs 25%, p = 0.049) and pleural effusion (p = 0.026). The 1-year, 3-year and 5-year overall survival rates in the laparoscopic group vs the open group were 95.2%, 89.6% and 89.6% vs 87.5%, 72.0% and 62.8% (p = 0.211). Correspondingly, the disease-free survival rates were 77.1%, 71.2% and 71.2% vs 75.8%, 52.7% and 45.5% (p = 0.422). Conclusions The two groups had similar long-term survival. The laparoscopic group had favorable short-term outcomes. Laparoscopic major hepatectomy without routine Pringle maneuver for HCC with cirrhosis is a safe treatment option at specialized centers.
Published: 2020

23. An Unusual Presentation of Gout Involving the Ankle Ligaments

Author: Tommy Tsang Cheung, Helen Ka Yan Chan, and Gavin Ka Wing Lee
Subjects: lcsh:Immunologic diseases. Allergy, musculoskeletal diseases, Pathology, medicine.medical_specialty, dual-energy computer tomography, Inflammatory arthritis, Ankle ligaments, 03 medical and health sciences, Joint disease, gout, 0302 clinical medicine, Monosodium urate, medicine, 030212 general & internal medicine, Ligament rupture, 030203 arthritis & rheumatology, business.industry, Process Chemistry and Technology, nutritional and metabolic diseases, musculoskeletal system, medicine.disease, Gout, Fuel Technology, Economic Geology, tendon involvement, Presentation (obstetrics), lcsh:RC581-607, business, ligament rupture
Abstract: Gout is the most common inflammatory arthritis due to deposition of monosodium urate (MSU) crystals in joints and connective tissues. In contrast to joint disease, the majority of extra-articular involvement remains asymptomatic in patients with gout. Achilles tendon is the most common site of involvement and the inflammation elicited by MSU crystals can be falsely attributed to injury or overuse. In addition, tendon or ligament damage secondary to MSU crystal deposition can lead to ligament tear or tendon rupture.However, the diagnosis of gout in patients with extra-articular involvement is often delayed or even missed because tissue sampling is not feasible in routine clinical practice. Advanced imaging techniques using ultrasound and dual-energy computer tomography (DECT) can detect MSU crystal deposition in a non-invasive manner and confirm the diagnosis of gout in patients with extra-articular involvement.The following case demonstrates an atypical presentation of gout causing multiple ligament tears in the ankle and highlights the role of DECT in the diagnosis of gout with extra-articular involvement.
Published: 2020

24. Overview of Radiosurgery for Intracranial Meningiomas

Author: Tak Lap Poon and Ka Wing See
Subjects: medicine.medical_specialty, business.industry, medicine.medical_treatment, medicine, Radiology, business, Radiosurgery
Abstract: Meningiomas are the second common Central Nervous System (CNS) neoplasm, and are the most common benign intracranial tumor. They approximately constitute up to 30% of all intracranial tumors. They arise from the arachnoidal coverings of brain. Presentation varies and depends on size, number and location of tumors. Symptoms include those related to increased in intracranial pressure, local irritative features including seizure and local pressure effect to eloquent areas, white matter tracts and cranial nerves. Management of meningiomsa is always challenging and multi-disciplinary approaches includes surgery, radiotherapy and possible chemotherapy and immunotherapy. Among radiation therapy treatment, stereotactic radiosurgery (SRS) or stereotactic radiosurgery (SRT) is getting the popularity compared to traditional conformal radiotherapy with comparable tumor control rate.
Published: 2022

25. Short‐duration treatment with the novel non‐nucleoside inhibitor CDI‐31244 plus sofosbuvir/velpatasvir for chronic hepatitis C: An open‐label study

Author: Bhawna Poonia, Joel V Chua, Ameer Abutaleb, Lydiah Mutumbi, Afua Ntem-Mensah, M Luz Pascual, Sam Lee, Alip Ghosh, Ka Wing Lam, Sara Romani, Jennifer Husson, Lyn R Frumkin, and Shyamsundaran Kottilil
Subjects: Adult, Male, Drug, medicine.medical_specialty, Time Factors, direct‐acting antiviral, Cirrhosis, Genotype, Sustained Virologic Response, Sofosbuvir, Combination therapy, media_common.quotation_subject, Hepatitis C virus, Pilot Projects, Hepacivirus, medicine.disease_cause, Antiviral Agents, Heterocyclic Compounds, 4 or More Rings, Sofosbuvir/velpatasvir, Gastroenterology, 03 medical and health sciences, 0302 clinical medicine, Virology, Internal medicine, therapeutics, Humans, chronic hepatitis C, Medicine, 030212 general & internal medicine, Adverse effect, Research Articles, media_common, business.industry, clinical trial, Hepatitis C, Chronic, Middle Aged, medicine.disease, Clinical trial, Infectious Diseases, RNA, Viral, Drug Therapy, Combination, Female, 030211 gastroenterology & hepatology, Carbamates, business, Research Article, medicine.drug
Abstract: Combination regimens of direct‐acting antiviral agents (DAAs) for chronic genotype 1 hepatitis C virus (HCV) infection given for 8 or 12 weeks have high cure rates. Shortened treatment durations that maintain high cure rates may lessen treatment barriers related to affordability and drug adherence. We enrolled 12 treatment‐naïve adults with chronic genotype 1 HCV infection without cirrhosis in a single‐center, open‐label trial to receive 2 weeks of the highly potent and selective non‐nucleoside inhibitor (NNI) CDI‐31244 concurrent with 6 weeks of sofosbuvir/velpatasvir. The main efficacy endpoints were sustained virologic response at 12 (SVR12) and 24 (SVR24) weeks after treatment completion. In all patients, plasma HCV RNA levels rapidly decreased during the first 2 days of treatment and were below the lower limit of quantification by the end of the 6‐week treatment period. Eight of 12 (67%) patients achieved both SVR12 and SVR24. Four patients had virological relapse at Week 10, 4 weeks after end of treatment. The most common adverse event was headache, occurring in five (42%) patients. Pharmacokinetic analysis showed no relevant drug interactions between CDI‐31244, sofosbuvir, and velpatasvir. In this pilot study of short‐duration combination therapy involving a novel NNI with a fixed‐combination DAA, 8 of 12 treatment‐naïve patients with chronic genotype 1 HCV infection without cirrhosis achieved virologic cure. Future trials might evaluate whether extending the NNI duration beyond 2 weeks with combination DAAs results in higher cure rates comparable with currently approved longer duration therapy.
Published: 2020

26. Application of Ultrasound Biofeedback to the Learning of the Mendelsohn Maneuver in Non-dysphagic Adults: A Pilot Study

Author: Yongping Zheng, Man Tak Leung, Ka Wing Katrina Ng, and Elaine Kwong
Subjects: Adult, Male, medicine.medical_specialty, medicine.medical_treatment, Pilot Projects, Electromyography, Biofeedback, 030507 speech-language pathology & audiology, 03 medical and health sciences, Speech and Hearing, 0302 clinical medicine, Physical medicine and rehabilitation, Swallowing, Humans, Medicine, medicine.diagnostic_test, business.industry, Ultrasound, Gastroenterology, Biofeedback, Psychology, Deglutition, Otorhinolaryngology, Rehabilitative treatment, Female, Deglutition Disorders, 0305 other medical science, business, Motor learning, 030217 neurology & neurosurgery
Abstract: This study aimed to investigate the application of ultrasound to the learning of swallowing maneuver. Forty non-dysphagic adults of both genders who were naive to the Mendelsohn maneuver participated in the study. They were randomly assigned to receive ultrasound or surface electromyography (sEMG) as biofeedback when acquiring the Mendelsohn maneuver. Thirty-eight subjects (n = 19) completed the Learning phase. Accuracy of executing the Mendelsohn maneuver was measured immediately (Post-training percentage accuracy) and one week post-training (Retention percentage accuracy). Whereas comparable numbers of training blocks were completed by the two groups (t(31.51) = 3.68, p = 0.330), the Ultrasound group attained significantly higher percentage accuracies than the sEMG group at both Post-training (t(28.88) = 4.04, p
Published: 2020

27. The epidemiology of COVID-19 cases and the successful containment strategy in Hong Kong–January to May 2020

Author: Chau Kuen Yonnie Lam, Shuk Kwan Chuang, Yung Wai Desmond Chan, Tin Wai Winnie Lau, Ka Wing Albert Au, Chi Mei Emily Leung, Chi Hong Wong, Tsz Sum Lam, Wing Hang Lam, Ho Yeung Lam, and Ka Hing Wong
Subjects: Male, 0301 basic medicine, contact tracing, Disease Outbreaks, 0302 clinical medicine, Communicable Diseases, Imported, Pandemic, Epidemiology, Case fatality rate, 030212 general & internal medicine, Child, enhanced surveillance, Travel, quarantine, General Medicine, Middle Aged, Hospitalization, Infectious Diseases, Child, Preschool, Preparedness, Hong Kong, Female, Public Health, Coronavirus Infections, Travel-Related Illness, Adult, Microbiology (medical), Mainland China, medicine.medical_specialty, Adolescent, Pneumonia, Viral, 030106 microbiology, novel coronavirus, public health intervention, Article, lcsh:Infectious and parasitic diseases, Betacoronavirus, Young Adult, 03 medical and health sciences, Environmental health, medicine, Humans, lcsh:RC109-216, Pandemics, Aged, SARS-CoV-2, business.industry, Public health, Infant, Newborn, COVID-19, Infant, Outbreak, business, Contact tracing
Abstract: Highlights • Hong Kong reported more than 1000 COVID-19 cases between January and May 2020. • The COVID-19 epidemic in Hong Kong was featured by several waves of imported cases followed by limited local transmissions. • A series of public health intervention have been implemented in Hong Kong in response to the local and overseas disease situations. • The multi-pronged strategy of border control, social distancing, enhanced surveillance and contact tracing resulted in the successful prevention of community-wide outbreak and containment of the epidemic in Hong Kong., Background Hong Kong, a Special Administrative Region of China, recorded its first confirmed Coronavirus disease 2019 (COVID-19) case on 23 January 2020. We reviewed the case epidemiology and the various public health measures implemented from January to May 2020. Method We described and compared the epidemiological and clinical characteristics of the cases recorded in different phases of the epidemic and reviewed the effectiveness of the public health measures implemented using the changes in the daily number of confirmed cases and the interval from symptom onset to hospital admission. Results Between January and May 2020, 1084 confirmed COVID-19 cases were reported, about 70% of which had travel history during the incubation period. The case fatality ratio was 0.4%. The local epidemic progressed through four phases: (i) preparedness and imported infection from mainland China, (ii) local transmission, (iii) imported infection from overseas countries associated with local transmission, and (iv) controlled imported infection with limited local transmission, with an eventual reduction of daily case number and minimization of onset-to-admission interval. Various public health measures, including enhanced surveillance, border control and social distancing, were introduced in phases in response to the prevailing local and global situations. Discussion Hong Kong’s overall containment strategy has led to a stabilization of number of cases and absence of community-wide outbreak in the 4.5 months since the reporting of the first case. Hong Kong’s strategy of containment might serve as an example for future planning of preparedness and response against novel infectious agents.
Published: 2020

28. Electric Vehicle Participated Electricity Market Model Considering Flexible Ramping Product Provisions

Author: Huaizhi Wang, Jiefeng Hu, Ka Wing Chan, Guibin Wang, Xian Zhang, and Jing Qiu
Subjects: Flexibility (engineering), Demand management, business.product_category, Computer science, 020209 energy, 020208 electrical & electronic engineering, 02 engineering and technology, Industrial and Manufacturing Engineering, Automotive engineering, Electric power system, Market mechanism, Control and Systems Engineering, Electric vehicle, 0202 electrical engineering, electronic engineering, information engineering, Electricity market, Energy market, Electrical and Electronic Engineering, Dispatchable generation, business
Abstract: This article studies electric vehicle (EV) potential to participate in the energy market and provide flexible ramping products (FRPs). EV traffic flows are predicted by the deep belief network, and the availability of flexible EVs is estimated based on the predicted EV traffic flows. Then, a novel market mechanism in distribution system is proposed to encourage the dispatchable EV demand to react to economic signals and provide ramping services. The designed market model is based on locational marginal pricing of energy and marginal pricing of FRPs. System ramping capacity constraints and EV operation constraints are incorporated in the proposed model to achieve the balance between the system social cost minimization and the EV traveling convenience. Moreover, typical uncertainties are considered by the scenario-based approach. Finally, simulations are conducted to verify the effectiveness of the established model and demonstrate the contributions of EVs to the system reliability and flexibility.
Published: 2020

29. Defining the optimal bilirubin level before hepatectomy for hilar cholangiocarcinoma

Author: Ka Wing Ma, Simon H Y Tsang, Tan To Cheung, Wing Chiu Dai, Wong Hoi She, Albert C. Y. Chan, and Chung Mau Lo
Subjects: Male, Cancer Research, medicine.medical_specialty, Multivariate analysis, Bilirubin, medicine.medical_treatment, Bilirubin level, Context (language use), Gastroenterology, lcsh:RC254-282, Group B, Cholangiocarcinoma, chemistry.chemical_compound, ERCP, Internal medicine, Genetics, Medicine, Humans, Hepatectomy, Preoperative biliary drainage, Aged, business.industry, Retrospective cohort study, Hilar cholangiocarcinoma, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Confidence interval, Oncology, chemistry, Bile Duct Neoplasms, Relative risk, PTBD, Female, business, Research Article
Abstract: Background In the management of operable hilar cholangiocarcinoma (HC) patients with hyperbilirubinemia, preoperative biliary drainage is a measure to bring down the bilirubin to a certain level so as to avoid adverse postoperative outcomes that would otherwise result from hyperbilirubinemia. A cutoff value of bilirubin level in this context is needed but has not been agreed upon without controversy. This retrospective study aimed to identify a cutoff of preoperative bilirubin level that would minimize postoperative morbidity and mortality. Methods Data of patients having hepatectomy with curative intent for HC were analyzed. Discriminative analysis was performed to identify the preoperative bilirubin level that would make a survival difference. The identified level was used as the cutoff to divide patients into two groups. The groups were compared. Results Ninety patients received hepatectomy with curative intent for HC. Their median preoperative bilirubin level was 23 μmol/L. A cutoff preoperative bilirubin level of 75 μmol/L was derived from Youden’s index (sensitivity 0.333; specificity 0.949) and confirmed to be optimal by logistic regression (relative risk 9.250; 95% confidence interval 1.932–44.291; p = 0.005), with mortality shown to be statistically different at 90 days (p = 0.008). Patients were divided into Group A (≤75 μmol/L; n = 82) and Group B (> 75 μmol/L; n = 8). Group B had a higher preoperative bilirubin level (p p = 0.008), transfusion (100% vs 42.0%; p = 0.011) and replacement (2.45 vs 0.0 L; p p = 0.036), more in-hospital deaths (50% vs 8.5%; p = 0.004), and more 90-day deaths (50% vs 9.8%; p = 0.008). Group A had a longer follow-up period (p = 0.008). The groups were otherwise comparable. Disease-free survival was similar between groups (p = 0.142) but overall survival was better in Group A (5-year, 25.2% vs 0%; p Conclusion A cutoff value of preoperative bilirubin level of 75 μmol/L is suggested, as the study showed that a preoperative bilirubin level ≤ 75 μmol/L resulted in significantly less blood replacement necessitated by blood loss during operation and significantly better patient survival after surgery.
Published: 2020

30. Enhancing Adequacy of Isolated Systems With Electric Vehicle-Based Emergency Strategy

Author: Ka Wing Chan, Ming Niu, Ning Zhou Xu, and Chi Yung Chung
Subjects: 050210 logistics & transportation, business.product_category, Optimization problem, Computer science, Mechanical Engineering, 05 social sciences, Vehicle-to-grid, Energy storage, Computer Science Applications, Power (physics), Reliability engineering, Isolated system, Electric power system, 0502 economics and business, Automotive Engineering, Electric vehicle, Genetic algorithm, business
Abstract: Extreme events can extensively damage power systems, causing customers to experience long-lasting outages. During such events, an electric vehicle (EV) can be used to directly power a house, i.e., vehicle-to-home (V2H). Specifically, the EV serves as a mobile energy storage system—running errands to “transport” energy from other places. Vehicle-to-grid (V2G) further allows cooperation among houses. It enables EV fleets to take turns running the errands so that sustained power supply is possible. Moreover, autonomous driving technology can also benefit system adequacy because the charging errands of EVs can be scheduled flexibly without being bonded to human activities. An emergency power supply strategy featuring scheduled EV charging errands as introduced above is proposed. It answers the questions whether and to what extent a system can survive an extended period of outage with the use of EVs only. An optimization problem is formulated with the purpose of maximizing the supply adequacy of the isolated system during the outage period. Both V2H and V2G scenarios are considered in the problem formulation, as well as self-driving capability. The complex optimization problems are solved with genetic algorithm. It is significant to find from the case study that the proposed strategy is able to fully restoring an islanded system when V2G and self-driving EVs are implemented.
Published: 2020

31. A Three-Phase Single-Stage AC–DC Wireless-Power-Transfer Converter With Power Factor Correction and Bus Voltage Control

Author: Ming Liu, Nelson Hon Lung Chan, Wenzheng Xu, Junwei Liu, Xian Zhang, and Ka Wing Chan
Subjects: business.product_category, business.industry, Computer science, 020209 energy, 020208 electrical & electronic engineering, Electrical engineering, Energy Engineering and Power Technology, 02 engineering and technology, Power factor, AC power, Network topology, law.invention, Capacitor, Three-phase, law, Electric vehicle, 0202 electrical engineering, electronic engineering, information engineering, Wireless, Wireless power transfer, Electrical and Electronic Engineering, business
Abstract: Wireless power transfer (WPT) technology has been a research and industrial hotspot with applications in many areas, such as wireless electric vehicle charging system that requires high power, high efficiency, and high power factor (PF). Usually, the power is drawn from a 50/60 Hz single-phase or three-phase ac power source. For a high power application, a three-phase ac source is commonly used. In this paper, a three-phase single-stage WPT resonant converter with PF correction (PFC) and bus voltage control is proposed to improve efficiency and power quality of three-phase input and reduce production cost and complexity for a high power WPT system. A T-type topology is applied as the common part to perform both the PFC and dc–dc WPT functionalities simultaneously. The proposed converter is much more advantageous than a conventional three-phase two-stage WPT converter with individual PF corrector. In addition, three-phase single-stage topologies have better power quality than single-phase single-stage topologies because zero-sequence components can be naturally eliminated.
Published: 2020

32. Validating the surgical indication value of the LTB-S classification system for drug resistant tuberculosis

Author: Wen Zilu, Chang Wei, Wang Yifei, Wong Ka-Wing, Wang Haijiang, Huang Chaolin, Xiao He-ping, Zhu Yijun, Xia Fan, Dai Xiyong, Chen Hui, Lu Shuihua, Song Yanzheng, and Wang Lin
Subjects: Adult, Male, 0301 basic medicine, Microbiology (medical), Lesion type, medicine.medical_specialty, Tuberculosis, Adolescent, 030106 microbiology, lcsh:Infectious and parasitic diseases, Multi-drug resistant tuberculosis, Extensively drug resistant tuberculosis, Young Adult, 03 medical and health sciences, Postoperative Complications, 0302 clinical medicine, Extra pulmonary tuberculosis, LTB-S, Tuberculosis, Multidrug-Resistant, Humans, Medicine, lcsh:RC109-216, 030212 general & internal medicine, Aged, Retrospective Studies, business.industry, Drug resistant tuberculosis, Multi-drug-resistant tuberculosis, Extensively drug-resistant tuberculosis, General Medicine, Guideline, Middle Aged, Prognosis, medicine.disease, Combined Modality Therapy, Surgery, Treatment Outcome, Infectious Diseases, Female, business, Complication
Abstract: Background Currently there is no guideline based on preoperative clinical parameters for assessing the prognosis of the adjunctive surgery for drug-resistant tuberculosis. Methods We retrospectively analyzed 138 patients who had undergone surgical resection as a treatment for drug- resistant tuberculosis after 24 months. Four clinical parameters on lesion type, treatment history, body physiological status, and surgery approach were evaluated. Categorical preoperative clinical parameters were analyzed by ordinal logistic regression model when considering postoperative complications as outcomes ordered in terms of severity. Statistically significant parameters were then combined in a single classification system for predicting the outcomes of the adjunctive surgery. Findings Diffused, progressive bilateral lesions, or active/progressive extra pulmonary tuberculosis (L3), and history of less than 2 months treatment before surgery (T3) were the strongest predicative parameters for postoperative complications and for surgery failure. Classification systems based on the four parameters were found to have a statistically significant effect on postoperative complications and postoperative efficacy. 24- month follow up indicated a high cure rate (above 95.5%) among patients without T3, L3, or severe physiological complications (B3). Interpretation A classification system based on objective clinical parameters showed predicative value for the prognosis of the adjunctive surgery and could guide management of drug-resistant Tuberculosis.
Published: 2020

33. Evaluation of Pancreatic Lesions With Endoscopic Ultrasound and Fine Needle Aspiration

Author: Simon H Y Tsang, Ka Wing Ma, Felix Che-Lok Chow, Yan Luk, Tan To Cheung, Chung Mau Lo, Wing Chiu Dai, and Wong Hoi She
Subjects: Endoscopic ultrasound, medicine.medical_specialty, Sensitivity and Specificity, Endosonography, Resection, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Medical diagnosis, skin and connective tissue diseases, Pancreatic lesion, Endoscopic Ultrasound-Guided Fine Needle Aspiration, Pancreas, Retrospective Studies, medicine.diagnostic_test, business.industry, Odds ratio, Predictive value, digestive system diseases, Pancreatic Neoplasms, body regions, surgical procedures, operative, medicine.anatomical_structure, Fine-needle aspiration, 030220 oncology & carcinogenesis, 030211 gastroenterology & hepatology, Surgery, Radiology, business
Abstract: Background. Endoscopic ultrasound (EUS) and fine-needle aspiration (FNA) are commonly used for assessing pancreatic lesions. This study aimed to evaluate the diagnostic yield and accuracy of endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) in a single tertiary institution. Methods. Consecutive patients who underwent EUS-FNA of the pancreas at Queen Mary Hospital, Hong Kong, from January 2015 to March 2016 were retrospectively reviewed. Endoscopic findings and FNA results were analysed. For patients who subsequently underwent surgical resection of pancreatic lesion, EUS-FNA diagnoses were compared to histopathological findings of surgical specimens to determine its diagnostic accuracy. Results. One hundred twelve EUS-FNA were performed in 99 patients within the study time period and were included for analysis. Sixty-six (66.7%) pancreatic lesions were solid in nature and 33 (33.3%) were cystic. The overall diagnostic yield of EUS-FNA was 70.5% (n = 79). On multivariate analysis, more passes of needle were associated with a higher diagnostic yield (odds ratio = 2.000, P = .049). 57.1% (n = 64) of EUS-FNA results had an impact on management. Sixteen patients with diagnostic EUS-FNA subsequently underwent surgery for resection of the pancreatic lesion. Upon correlation to the histopathological findings of surgical specimens, there were 12 true-positive, 2 true-negative, 0 false-positive, and 2 false-negative cases. Sensitivity was 85.7%, specificity was 100%, positive predictive value was 100%, and negative predictive value was 50%. The diagnostic accuracy of EUS-FNA was 87.5%. Conclusion. EUS-FNA is accurate and reliable for diagnosing pancreatic lesions.
Published: 2020

34. Vascular resection and reconstruction in hilar cholangiocarcinoma

Author: Simon H Y Tsang, Tan To Cheung, Albert C. Y. Chan, Ka Wing Ma, Wing Chiu Dai, Wong Hoi She, and Chung Mau Lo
Subjects: medicine.medical_specialty, Blood transfusion, medicine.medical_treatment, 030230 surgery, Group A, Group B, Cholangiocarcinoma, 03 medical and health sciences, 0302 clinical medicine, medicine, Hepatectomy, Humans, Major complication, Vascular resection, Retrospective Studies, business.industry, Retrospective cohort study, General Medicine, Perioperative, Surgery, Bile Ducts, Intrahepatic, Treatment Outcome, Bile Duct Neoplasms, 030220 oncology & carcinogenesis, business, Klatskin Tumor
Abstract: BACKGROUND The aggressive approach of vascular resection plus reconstruction in curative resection of hilar cholangiocarcinoma (HC) remains controversial. This retrospective study investigated its short- and long-term outcomes. METHODS Data of HC patients from 1989 to 2016 were reviewed. Operated patients were divided into two groups (with and without vascular resection) and compared in terms of perioperative results. Patients who had unresectable HC were also compared with patients who had been operated. RESULTS Ninety patients underwent curative HC resection. They were divided into group A (without aggressive approach, n = 68) and group B (with aggressive approach, n = 22). The groups were comparable in all parameters including rates of overall and major complication and in-hospital, 30-day and 90-day mortality except that group B had more patients with more advanced disease (P = 0.008), more patients with tumour invasion of the vasculature (40.9% versus 7.4%, P = 0.001), and fewer patients with blood transfusion (27.3% versus 52.9%, P = 0.036). The groups had similar disease-free survival (group A: median, 17.9 months, 5 years, 27.4%; group B: median, 11.7 months, 5 years, 14.3%; P = 0.427) and overall survival (group A: median, 22.0 months, 5 years, 26.5%; group B: median, 26.5 months, 5 years, 14.7%; P = 0.90). Two hundred patients with unresectable HC were compared with patients who had received operation and found to have worse survival outcomes (P
Published: 2020

35. Durability and outcome of endoscopic ultrasound‐guided hepaticoduodenostomy using a fully covered metal stent for segregated right intrahepatic duct dilatation

Author: Tan To Cheung, Ka Wing Ma, Do Hyun Park, Dong Hui Cho, Jin Sun Oh, and Hoonsub So
Subjects: Adult, Male, Endoscopic ultrasound, medicine.medical_specialty, Fistula, medicine.medical_treatment, Self Expandable Metallic Stents, Malignancy, Endosonography, 03 medical and health sciences, 0302 clinical medicine, Duodenostomy, medicine, Humans, Adverse effect, Aged, Aged, 80 and over, Endoscopic retrograde cholangiopancreatography, Hepatology, medicine.diagnostic_test, business.industry, Gastroenterology, Hepaticoduodenostomy, Stent, Middle Aged, medicine.disease, Surgery, Biliary Tract Surgical Procedures, Bile Ducts, Intrahepatic, Treatment Outcome, Surgery, Computer-Assisted, Biliary tract, 030220 oncology & carcinogenesis, Female, 030211 gastroenterology & hepatology, business, Dilatation, Pathologic
Abstract: Background and aims Segregated right intrahepatic duct dilatation (IHD) results from complete obstruction of the biliary tract proximal to the hilar level. We aimed to evaluate long-term efficacy and safety of endoscopic ultrasound (EUS) hepaticoduodenostomy (HDS) in segregated right IHD. Methods Consecutive patients who had undergone EUS-guided HDS with a fully covered self-expandable metal stent (FCSEMS) in an academic tertiary center were recruited. All patients had segregated right hepatic duct and failed drainage by endoscopic retrograde cholangiopancreatography (ERCP). Demographic data, endoscopic findings, procedure details, and outcome data were extracted from a prospectively maintained database. Results From 2013 to 2017, there were 35 patients who had undergone EUS-guided HDS with a median follow-up duration of 169 (3-2091) days. Malignancy accounted for 71.4% of the ductal segregation, followed by surgical complication (17.1%). Technical and clinical success rate was 97.1% and 80%, respectively. Early adverse event (AE) happened in seven patients (20%), two of them required endoscopic reintervention, and no percutaneous transhepatic biliary drainage (PTBD) or surgery was performed because of AE. The median stent patency duration was 331 (3-1202) days. The median duration of fistula tract keeping was 1280 (3-1280) days. There was no significant difference in terms of patency rate with respect to whether the underlying pathology was benign or malignant (P = 0.776). EUS-guided HDS for right posterior sectional duct segregation was associated with higher 3-month stent patency rate when compared with right anterior sectional duct (79.1% vs 38.1%, P = 0.012). Conclusion Endoscopic ultrasound-guided HDS with an FCSEMS appears to be a safe and effective treatment as a viable alternative option to PTBD after failed ERCP. It creates a durable and reliable fistula tract for permanent access to an isolated ductal system, and this application deserves more attention.
Published: 2020

36. Grindability of biocarbon and coal blends in rolling mill

Author: L. Giroux, Ka Wing Ng, and Xianai Huang
Subjects: Production sector, Blast furnace, Pulverized coal-fired boiler, Waste management, business.industry, Mechanical Engineering, General Chemical Engineering, technology, industry, and agriculture, 0211 other engineering and technologies, Energy Engineering and Power Technology, 02 engineering and technology, Partial substitution, Geotechnical Engineering and Engineering Geology, Renewable energy, Fuel Technology, 020401 chemical engineering, Environmental science, Coal, Rolling mill, 0204 chemical engineering, business, 021102 mining & metallurgy
Abstract: Partial substitution of pulverized coal (PCI) by renewable biocarbon for blast furnace injection is a practical approach to reduce GHGs in the steel production sector. For using biocarbon as feedst...
Published: 2020

37. A Learning-Based Bidding Approach for PV-Attached BESS Power Plants

Author: Ziqing Zhu, Shiwei Xia, Xiang Gao, Ka Wing Chan, and Haomin Ma
Subjects: Economics and Econometrics, Renewable Energy, Sustainability and the Environment, business.industry, Computer science, Market clearing, Photovoltaic system, Energy Engineering and Power Technology, bidding strategy, PV, Bidding, Environmental economics, General Works, Renewable energy, incomplete information game, Fuel Technology, WoLF-PHC, Electricity market, Electricity, Market environment, Bid price, business, BESS, multiagent reinforcement learning
Abstract: Large-scale renewable photovoltaic (PV) and battery energy storage system (BESS) units are promising to be significant electricity suppliers in the future electricity market. A bidding model is proposed for PV-integrated BESS power plants in a pool-based day-ahead (DA) electricity market, in which the uncertainty of PV generation output is considered. In the proposed model, we consider the market clearing process as the external environment, while each agent updates the bid price through the communication with the market environment for its revenue maximization. A multiagent reinforcement learning (MARL) called win-or-learn-fast policy-hill-climbing (WoLF-PHC) is used to explore optimal bid prices without any information of opponents. The case study validates the computational performance of WoLF-PHC in the proposed model, while the bidding strategy of each participated agent is thereafter analyzed.
Published: 2021

38. Adaptive Droop Control Using Adaptive Virtual Impedance for Microgrids with Variable PV Outputs and Load Demands

Author: Josep M. Guerrero, Jiefeng Hu, Ka Wing Chan, and Zilin Li
Subjects: Computer science, business.industry, Photovoltaic system, Energy storage, adaptive virtual impedance, power deficiency, Power (physics), Renewable energy, instability, microgrid, Control and Systems Engineering, Control theory, large droop gains, Adaptive system, Distributed generation, Adaptive droop, Voltage droop, Microgrid, Electrical and Electronic Engineering, business
Abstract: In microgrids, intermittency of renewable energy sources (RES) and uncertain state-of-charge (SoC) of energy storage systems (ESS) can cause power deficiency to some distributed generation units (DGs). In this case, DGs with power deficiency may not meet the power demand, resulting in voltage collapse or frequency divergence. Unfortunately, this is seldom considered in inverter control design in existing literature. Thus, in-depth investigation into the microgrid performance under renewable energy resource fluctuations and appropriate control methods are urgently needed. In this article, an adaptive droop and adaptive virtual impedance control strategy is proposed. Unlike conventional droop control where the droop coefficients are fixed by assuming the DGs can always meet the load demand, the droop coefficients here are adjusted according to actual solar PV power output. In this way, proper power sharing among DGs can be achieved under renewable energy variation. Furthermore, the impact of varying DG capacities on system stability is mathematically investigated. An adaptive virtual impedance is then incorporated into the adaptive droop method to deal with the system instability caused by renewable energy variations. The proposed strategy is analyzed theoretically and validated in MATLAB/Simulink simulation and laboratory experiments. The results demonstrate the advantages of the proposed method over conventional approaches under various scenarios.
Published: 2021

39. Mendelian Randomization Focused Analysis of Vitamin D on the Secondary Prevention of Ischemic Stroke

Author: YK Wong, Chloe Y Y Cheung, Clara S. Tang, Aimin Xu, Kar Keung Cheng, Pak C. Sham, C. Mary Schooling, Karen Siu-Ling Lam, Tai Hing Lam, Chaoqiang Jiang, G. Neil Thomas, Ka-Wing Au, Shiu Lun Au Yeung, Hung-Fat Tse, Jo-Jo Hai, Jie V. Zhao, and Yap-Hang Chan
Subjects: Adult, Male, medicine.medical_specialty, Genotype, Myocardial Infarction, Polymorphism, Single Nucleotide, Primary prevention, Internal medicine, Mendelian randomization, medicine, Vitamin D and neurology, Secondary Prevention, Humans, Myocardial infarction, Vitamin D, Aged, Ischemic Stroke, Advanced and Specialized Nursing, Secondary prevention, business.industry, Regeneration (biology), Mendelian Randomization Analysis, Middle Aged, medicine.disease, Ischemic stroke, Female, Neurology (clinical), Cardiology and Cardiovascular Medicine, business, Genome-Wide Association Study
Abstract: Background and Purpose: Experimental studies showed vitamin D (Vit-D) could promote vascular regeneration and repair. Prior randomized studies had focused mainly on primary prevention. Whether Vit-D protects against ischemic stroke and myocardial infarction recurrence among subjects with prior ischemic insults was unknown. Here, we dissected through Mendelian randomization any effect of Vit-D on the secondary prevention of recurrent ischemic stroke and myocardial infarction. Methods: Based on a genetic risk score for Vit-D constructed from a derivation cohort sample (n=5331, 45% Vit-D deficient, 89% genotyped) via high-throughput exome-chip screening of 12 prior genome-wide association study–identified genetic variants of Vit-D mechanistic pathways ( rs2060793 , rs4588 , and rs7041 ; F statistic, 73; P Results: In the ischemic disease subsample, 11.1% (n=49/441) had developed recurrent ischemic stroke or MI and 13.3% (n=58/441) had developed recurrent or de novo ischemic stroke/MI. Kaplan-Meier analyses showed that genetic risk score predicted improved event-free survival from recurrent ischemic stroke or MI (log-rank, 13.0; P =0.001). Cox regression revealed that genetic risk score independently predicted reduced risk of recurrent ischemic stroke or MI combined (hazards ratio, 0.62 [95% CI, 0.48–0.81]; P Conclusions: Genetically predicted lowering in Vit-D level is causal for the recurrence of ischemic vascular events in persons with prior ischemic stroke or MI.
Published: 2021

40. Multi-Mechanistic Antidiabetic Potential of Astaxanthin: An Update on Preclinical and Clinical Evidence

Author: Feng Chen, Jianbo Xiao, Vemana Gowd, Mingfu Wang, and Ka-Wing Cheng
Subjects: Antioxidant, medicine.medical_treatment, Pharmacology, Xanthophylls, medicine.disease_cause, Antioxidants, Diabetic nephropathy, chemistry.chemical_compound, Insulin resistance, Astaxanthin, Diabetes mellitus, medicine, Glucose homeostasis, Humans, Hypoglycemic Agents, Diabetic Nephropathies, Carotenoid, chemistry.chemical_classification, business.industry, food and beverages, medicine.disease, Oxidative Stress, chemistry, business, Oxidative stress, Food Science, Biotechnology
Abstract: Diabetes mellitus (DM) is a cluster of physiological dysfunctions typified by persistent hyperglycemia. Diet plays a paramount role in human health, and regular consumption of a fruit- and vegetable-rich diet can delay or prevent DM and its associated complications. The promising effect of fruits and vegetables could be partly attributed to their antioxidant constituents, including carotenoids. Carotenoids are natural antioxidants that occur in many vegetables, fruits, microalgae, and other natural sources. Astaxanthin is a xanthophyll carotenoid predominantly present in microalgae and some red-colored marine organisms. It is currently marketed as a health supplement and is well-known for its antioxidant capacity. Accumulating evidence indicates that astaxanthin exerts its beneficial effects against DM by acting on various molecular targets and signaling pathways in multiple organs/tissues. Astaxanthin can lower blood glucose levels by preserving β-cell function, improving insulin resistance (IR), and increasing insulin secretion. This manuscript summarizes the connection between glucose homeostasis, oxidative stress, and DM. This is followed by a review of recent studies on astaxanthin's pharmacological effects against IR, microvascular (diabetic retinopathy, diabetic nephropathy, and neurological damage), and macrovascular DM complications emphasizing the cellular and molecular mechanisms involved. A few lines of clinical evidence supporting its antidiabetic potential are also highlighted. This article is protected by copyright. All rights reserved.
Published: 2021

41. Hyperosmolar hyperglycaemic state (HHS) in type 1 and type 2 diabetes induced by asymptomatic SARS-CoV-2 infection: 2 case reports

Author: Ka Wing Chu and Mohit Kumar
Subjects: business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Immunology, medicine, Type 2 diabetes, medicine.symptom, medicine.disease, business, Asymptomatic
Published: 2021

42. Sensitivity to Communication Partners During Naturalistic AAC Conversations in Cantonese Chinese

Author: Yen Na Yum, Soby Ka Wing So, and Rosanna Yuen-Yan Chan
Subjects: media_common.quotation_subject, ComputingMilieux_LEGALASPECTSOFCOMPUTING, Context (language use), symbol, Psychology, communication partner, General Psychology, Original Research, Cantonese Chinese, media_common, cerebral palsy, Communication, business.industry, complex communication needs, Social engagement, BF1-990, Linguistic analysis, Augmentative and alternative communication, Expressive vocabulary, augmentative and alternative communication, ComputingMilieux_COMPUTERSANDSOCIETY, business, linguistic analysis, Word order, Diversity (politics)
Abstract: Previous studies have shown that graphic-based augmentative and alternative communication (AAC) output tend to be short and simple in structure with non-canonical word order, and that AAC users may show differences when communicating with peers compared to professionals such as speech therapists (STs). However, there was a lack of report for graphic-based AAC in the Chinese context, and the effect of communication partners had not been investigated systematically. In this study with 34 AAC users and 10 STs, we reported common and distinct features of free conversations in Cantonese graphic-based AAC, relative to AAC in other languages. We also found that AAC users were sensitive to different types of communication partners. In particular, when conversing with peers, AAC users produced long messages with equal proportion of questions and responses, which suggested active and bi-directional exchanges. In conversations with STs, AAC users showed high diversity in expressive vocabulary, indicating access to more semantic concepts. Results suggested that the base language and the communication partner are both influential factors that should be considered in studies of graphic-based AAC. The mobile AAC system facilitated free conversations in users with complex communication needs, affording an additional channel for social participation.
Published: 2021

43. Advances in smart delivery of food bioactive compounds using stimuli-responsive carriers: Responsive mechanism, contemporary challenges, and prospects

Author: Mingfu Wang, Ka-Wing Cheng, Qiang Wang, Vemana Gowd, Feng Chen, Mohammad Rezaul Islam Shishir, and Hao Suo
Subjects: Drug Carriers, Future studies, Stimuli responsive, Mechanism (biology), Bioactive molecules, Drug Compounding, Temperature, Hydrogen-Ion Concentration, Chemical instability, Nutraceutical, Drug Delivery Systems, Triggered release, Disease prevention, Biochemical engineering, Business, Food Science
Abstract: Many important food bioactive compounds are plant secondary metabolites that have traditional applications for health promotion and disease prevention. However, the chemical instability and poor bioavailability of these compounds represent major challenges to researchers. In the last decade, therefore, major impetus has been given for the research and development of advanced carrier systems for the delivery of natural bioactive molecules. Among them, stimuli-responsive carriers hold great promise for simultaneously improving stability, bioavailability, and more importantly delivery and on-demand release of intact bioactive phytochemicals to target sites in response to certain stimuli or combination of them (e.g., pH, temperature, oxidant, enzyme, and irradiation) that would eventually enhance therapeutic outcomes and reduce side effects. Hybrid formulations (e.g., inorganic-organic complexes) and multi-stimuli-responsive formulations have demonstrated great potential for future studies. Therefore, this review systematically compiles and assesses the recent advances on the smart delivery of food bioactive compounds, particularly quercetin, curcumin, and resveratrol through stimuli-responsive carriers, and critically reviews their functionality, underlying triggered-release mechanism, and therapeutic potential. Finally, major limitations, contemporary challenges, and possible solutions/future research directions are highlighted. Much more research is needed to optimize the processing parameters of existing formulations and to develop novel ones for lead food bioactive compounds to facilitate their food and nutraceutical applications.
Published: 2021

44. Simultaneous portohepatic vein embolization a radiological: a short cut to associating liver partition and portal vein ligation for staged hepatectomy?

Author: Ka Wing Ma and Albert C. Y. Chan
Subjects: medicine.medical_specialty, Text mining, medicine.anatomical_structure, business.industry, medicine.medical_treatment, Partition (politics), medicine, Portal vein ligation, Embolization, Hepatectomy, business, Vein, Surgery
Published: 2021

45. Endoscopic versus Surgical Intervention for Painful Obstructive Chronic Pancreatitis: A Systematic Review and Meta-Analysis

Author: Euisoo Shin, Hoonsub So, Janice Hoi Man Mok, Tan To Cheung, Ka Wing Ma, Do Hyun Park, and Kim Ho Kam Yuen
Subjects: medicine.medical_specialty, business.industry, Incidence (epidemiology), pancreatitis, General Medicine, Review, systemic review, Cochrane Library, medicine.disease, Surgery, meta-analysis, 03 medical and health sciences, 0302 clinical medicine, 030220 oncology & carcinogenesis, Intervention (counseling), Meta-analysis, medicine, Medicine, Pancreatitis, Obstructive chronic pancreatitis, Endocrine system, 030211 gastroenterology & hepatology, Complication, business
Abstract: There is limited evidence on the standard care for painful obstructive chronic pancreatitis (CP), while comparisons of endoscopic and surgical modes for pain relief have yielded conflicting results from small sample sizes. We aimed to obtain a clear picture of the matter by a meta-analysis of these results. We searched the Pubmed, Embase, and Cochrane Library databases to identify studies comparing endoscopic and surgical treatments for painful obstructive CP. Pooled effects were calculated by the random effect model. Primary outcomes were overall pain relief (complete and partial), and secondary outcomes were complete and partial pain relief, complication rate, hospitalization duration, and endocrine insufficiency. Seven studies with 570 patients were included in the final analysis. Surgical drainage was associated with superior overall pain relief [OR 0.33, 95% CI 0.23–0.47, p < 0.001, I2 = 4%] and lesser incidence of endocrine insufficiency [OR 2.10, 95% CI 1.20–3.67, p = 0.01, I2 = 0%], but no significant difference in the subgroup of complete [OR 0.57, 95% CI 0.32–1.01, p = 0.054, I2 = 0%] or partial [OR 0.67, 95% CI 0.37–1.22, p = 0.19, I2 = 0%] pain relief, complication rates [OR 1.00, 95% CI 0.41–2.46, p = 0.99, I2 = 49%], and hospital stay [OR −0.54, 95% CI −1.23–0.15, p = 0.13, I2 = 87%] was found. Surgery is associated with significantly better overall pain relief and lesser endocrine insufficiency in patients with painful obstructive CP. However, considering the invasiveness of surgery, no significant differences in complete or partial pain relief, and heterogeneity of a few parameters between two groups, endoscopic drainage may be firstly performed and surgical drainage may be considered when endoscopic drainage fails.
Published: 2021

46. A Fully Distributed Hierarchical Control Framework for Coordinated Operation of DERs in Active Distribution Power Networks

Author: Shiwei Xia, Bin Zhou, Xi Lu, Can Wan, Ka Wing Chan, and Siqi Bu
Subjects: business.industry, Computer science, 020209 energy, Distributed computing, Automatic frequency control, Energy Engineering and Power Technology, 02 engineering and technology, AC power, Decentralised system, Power (physics), Electricity generation, Control theory, Distributed generation, 0202 electrical engineering, electronic engineering, information engineering, Voltage droop, Electrical and Electronic Engineering, business
Abstract: In order to effectively accommodate large-scale distributed energy resources (DERs) in active distribution power networks, this paper proposes a fully distributed hierarchical framework to economically manage multiple DERs within three layers: the tertiary, the secondary generation regulation layer, and the primary frequency droop control layer. In the tertiary layer, a fully distributed dispatch strategy is designed to optimally allocate the active power base point of DERs in a center-free manner, with total generation and load imbalance locally estimated by individual DER using the discrete finite-time consensus algorithm. In the secondary layer, a distributed fair generation correction strategy is designed based on power sharing ratio to timely counterbalance the load deviations on top of the tertiary layer. In the primary layer, a droop controller is presented for DER, battery energy storage and controllable load to maintain satisfactory system frequency performance. The proposed hierarchical framework is a fully distributed generation coordinating approach, which could optimally control active power outputs of multiple DERs with the minimal cost while ensuring satisfactory system frequency, and is also robust to DERs’ uncertainties. Case studies have demonstrated the effectiveness of proposed fully distributed hierarchical framework for optimally coordinating DERs power outputs and regulating system frequency.
Published: 2019

47. Impact of small-for-size liver grafts on medium-term and long-term graft survival in living donor liver transplantation: A meta-analysis

Author: Tan To Cheung, Ka Wing Ma, Wing Chiu Dai, Albert C. Y. Chan, W.H. She, Kenneth S. H. Chok, James Fung, Chung Mau Lo, and Kelly Hiu Ching Wong
Subjects: Adult, medicine.medical_specialty, Time Factors, medicine.medical_treatment, Liver transplantation, Donor Selection, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Living Donors, Humans, Medicine, Child, Small for size syndrome, business.industry, Living donor liver transplantation, Incidence (epidemiology), Graft Survival, Age Factors, Gastroenterology, Organ Size, General Medicine, Odds ratio, Allografts, Confidence interval, Liver Transplantation, Surgery, Small-for-size syndrome, Treatment Outcome, Liver, 030220 oncology & carcinogenesis, Meta-analysis, Practice Guidelines as Topic, 030211 gastroenterology & hepatology, Graft survival, business, Small-for-size grafts, Meta-Analysis
Abstract: BACKGROUND Small-for-size grafts (SFSGs) in living donor liver transplantation (LDLT) could optimize donor postoperative outcomes and also expand the potential donor pool. Evidence on whether SFSGs would affect medium-term and long-term recipient graft survival is lacking. AIM To evaluate the impact of small-for-size liver grafts on medium-term and long-term graft survival in adult to adult LDLT. METHODS A systematic review and meta-analysis were performed by searching eligible studies published before January 24, 2019 on PubMed, EMBASE, and Web of Science databases. The primary outcomes were 3-year and 5-year graft survival. Incidence of small-for-size syndrome and short term mortality were also extracted. RESULTS This meta-analysis is reported according to the guidelines of the PRISMA 2009 Statement. Seven retrospective observational studies with a total of 1821 LDLT recipients were included in the meta-analysis. SFSG is associated with significantly poorer medium-term graft survival. The pooled odds ratio for 3-year graft survival was 1.58 [95% confidence interval 1.10-2.29, P = 0.014]. On the other hand, pooled results of the studies showed that SFSG had no significant discriminatory effect on 5-year graft survival with an odds ratio of 1.31 (95% confidence interval 0.87-1.97, P = 0.199). Furthermore, incidence of small-for-size syndrome detected in recipients of SFSG ranged from 0-11.4% in the included studies. CONCLUSION SFSG is associated with inferior medium-term but not long-term graft survival. Comparable long-term graft survival based on liver graft size shows that smaller grafts could be accepted for LDLT with appropriate flow modulatory measures. Close follow-up for graft function is warranted within 3 years after liver transplantation.
Published: 2019

48. Design and Realization of a Coreless and Magnetless Electric Motor Using Magnetic Resonant Coupling Technology

Author: Qifang Lin, Wenzheng Xu, Junwei Liu, Ka Wing Chan, Ming Liu, and Jiefeng Hu
Subjects: Electric motor, Physics, business.industry, 020208 electrical & electronic engineering, Electrical engineering, Energy Engineering and Power Technology, Topology (electrical circuits), 02 engineering and technology, Power factor, 0202 electrical engineering, electronic engineering, information engineering, Trajectory, RLC circuit, Wireless power transfer, Electrical and Electronic Engineering, business, Realization (systems), Excitation
Abstract: Electric motors have a wide range of applications in a diverse range of industries. This paper presents a novel magnetic resonant coupling motor (MRCM), constructed without any iron or permanent-magnet core, i.e., a novel coreless and magnetless electric motor. Different from the conventional operation principle of existing electric motors, the application of the wireless power transfer system using magnetic resonant coupling technology is the key feature of the proposed MRCM. By adjusting the excitation frequency in accordance with the trajectory of resonant frequency splitting, a large electromagnetic force in different direction can be developed. Besides, the proposed MRCM has an inherent merit of unity power factor. This paper presents a new design concept, which could well be a promising start for a new generation of future electric motor.
Published: 2019

49. A simplified prediction model for early intrahepatic recurrence after hepatectomy for patients with unilobar hepatocellular carcinoma without macroscopic vascular invasion: An implication for adjuvant therapy and postoperative surveillance

Author: Tan To Cheung, Herbert Pang, Ka Wing Ma, C. Nicholas Kotewall, Kelvin K. Ng, Tiffany C.L. Wong, Wong Hoi She, Chung Mau Lo, and Jeff W.C. Dai
Subjects: Adult, Male, medicine.medical_specialty, Carcinoma, Hepatocellular, Adolescent, medicine.medical_treatment, Gastroenterology, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Carcinoma, Adjuvant therapy, Hepatectomy, Humans, Postoperative Period, Prospective Studies, Child, Prospective cohort study, Survival rate, Neoadjuvant therapy, Aged, Retrospective Studies, Aged, 80 and over, Models, Statistical, business.industry, Patient Selection, Liver Neoplasms, Retrospective cohort study, Middle Aged, Prognosis, medicine.disease, Neoadjuvant Therapy, Survival Rate, Nomograms, Oncology, Child, Preschool, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, Female, 030211 gastroenterology & hepatology, Surgery, Neoplasm Recurrence, Local, business, Follow-Up Studies
Abstract: Background An accurate prediction model of early recurrence of hepatocellular carcinoma (HCC) after hepatectomy is important to ascertain the postoperative adjuvant treatment and surveillance. Methods This is a retrospective cohort study including 1125 patients with HCC underwent curative hepatic resection. They were randomly divided into training (n = 562) and validation (n = 563) sets. Early intrahepatic recurrence within 18 months from surgery is the primary outcome. In the training set, a prediction scoring model (Recurrent Liver Cancer Score RLCS) was developed, which was legitimised in the validation set. Results RLCS was developed based on four clinicopathologic risk factors (serum alpha fetoprotein, tumor size, multiple tumors or satellite nodules, and microvascular invasion). Low-risk and high-risk groups had statistically significant differences in early recurrence rates (18% vs. 43.8%). The 5-year recurrence-free survival rates of low risk and high risk groups were 52.9% and 27.8%, respectively. This model showed good calibration and discriminatory ability in the validation set (c-index of 0.647). Conclusion RLCS is a user-friendly prediction scoring model which can accurately predict the occurrence of early intrahepatic recurrence of HCC. It establishes the basis of postoperative adjuvant treatment and surveillance in future studies.
Published: 2019

50. Opinions of midwives and pregnant women on prelabour ultrasound examination

Author: Wai Lam Lau, Pik Yu Lo, Ka Wing Lau, Ying Tze Viola Chan, Sin Ming Tai, and Wing Cheong Leung
Subjects: medicine.medical_specialty, business.industry, Obstetrics, Ultrasound, Medicine, business
Published: 2019

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