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

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1. Internet Resources for Reference: Finance and Investment.

Author: Mai, Brent Alan
Abstract: When called upon to aid in filtering through finance and investment information on the Internet, the business librarian is also faced with knowing what is available and how to find it. Web sites are identified that provide information about stocks and their exchanges, mutual funds, bonds, company annual reports, and taxes. (Author/AEF)
Published: 1997

2. Internet Resources for Reference: International Trade.

Author: Mai, Brent Alan
Abstract: Identifies Internet sites that can be helpful to the business reference librarian confronted with questions regarding international trade. The sites for the major trade agreements are listed along with a currency exchange calculator that can handle date-specific historical conversions. (AEF)
Published: 1997

3. Internet Resources for Reference: General Business and Company Information.

Author: Mai, Brent Alan
Abstract: Outlines a few of the thousands of Internet sites that are helpful in obtaining general business information and company-specific information, including company directories and homepages, telephone directories, Chambers of Commerce, marketing and advertising, agribusiness, government, cost of living, business schools, and nonprofit business. (Author/AEF)
Published: 1997

4. A Look at the U.S. International Transactions: Third Quarter of 2022

Author: Hoang, Mai-Chi
Subjects: Business, Economics
Abstract: The U.S. current-account deficit, which reflects the combined balances on trade in goods and services and income flows between U.S. residents and residents of other countries, narrowed by $21.6 billion, [...]
Published: 2023

5. Augmented reality-delivered product information at the point of sale: when information controllability backfires

Author: Hoffmann, Stefan, Joerß, Tom, Mai, Robert, and Akbar, Payam
Subjects: Augmented Reality -- Usage, Consumer behavior -- Research, Marketing research, Labels -- Technology application -- Psychological aspects, Technology application, Advertising, marketing and public relations, Business
Abstract: Augmented reality-delivered product information (ARPI) can overcome the limited space at the point of sale to inform shoppers on demand and will therefore become more widespread in brick-and-mortar stores. To fill the void of academic research, this paper develops a model of how consumers process ARPI and how ARPI can shape brand image and purchase intentions. Making use of the cues-filtered-out theory, this paper suggests that the effect of ARPI controllability depends on information detailedness. An unintended backfire effect of controllability occurs when the accessible information is detailed, which is explained by the mediating process via perceived comprehensiveness. This backfire effect is a risk primarily in busy shopping times. The main experiment conducted in a hypermarket and four follow-up studies (using field, lab, and video settings) empirically confirm the proposed model on the basis of different data sources, including usage tracking, questionnaires, and scanner data. The paper derives managerial implications and outlines directions for future research., Author(s): Stefan Hoffmann [sup.1] , Tom Joerß [sup.1] , Robert Mai [sup.2] , Payam Akbar [sup.1] Author Affiliations: (1) grid.9764.c, 0000 0001 2153 9986, Institute of Business Administration, Department of [...]
Published: 2022
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6. Using Positive Pay to Prevent Check Fraud: Small businesses can safeguard from check fraud, losses, and other liabilities by implementing positive pay

Author: Luu, Mai
Subjects: Small business -- Finance, Checks -- Interpretation and construction, Company financing, Small business, Market trend/market analysis, SOHO, Banking, finance and accounting industries, Business, general, Business
Abstract: Small businesses are vulnerable to check fraud and are prime targets for fraudsters because they frequently have limited resources and fewer robust financial controls in place than larger enterprises. By [...]
Published: 2023

7. U.S. International Transactions: Second Quarter 2022

Author: Hoang, Mai-Chi and Telles Rudy, Jr.
Subjects: Exports, Business, Economics
Abstract: The U.S. current-account deficit, which reflects the combined balances on trade in goods and services and income flows between U.S. residents and residents of other countries, narrowed by $31.5 billion, [...]
Published: 2022

8. When drivers become inhibitors of organic consumption: the need for a multistage view

Author: Mai, Robert, Hoffmann, Stefan, and Balderjahn, Ingo
Subjects: Consumption (Economics) -- Analysis, Organic foods -- Supply and demand, Consumer behavior -- Analysis, Advertising, marketing and public relations, Business
Abstract: The organic market is characterized by remarkable disparities, and confusion persists about which motives drive organic consumption. To understand them, this research introduces the idea that the same consumer motives can exert different and potentially opposite impacts when organic consumption patterns unfold. The proposed multistage theory of differential effects distinguishes a participation stage, when consumers decide whether to purchase organic at all, and an expenditure stage, when consumers decide about how much of their budget to spend on organic products across purchases. An analysis of shopping patterns of approximately 14,000 households confirms the proposed differential influences: Other-oriented motives (care for others and the environment) support participation but impede sustained expenditures. Only self-oriented motives (hedonism) foster both participation and expenditures. The results pinpoint the need to rethink organic consumption as a stage-specific problem, which opens up new perspectives for managers about an old but persistent problem., Author(s): Robert Mai [sup.1] , Stefan Hoffmann [sup.2] , Ingo Balderjahn [sup.3] Author Affiliations: (1) grid.462264.0, 0000 0001 2167 7879, Department of Marketing, Grenoble Ecole de Management, , 12 rue [...]
Published: 2021
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9. Differences in health care spending and utilization among older frail adults in high-income countries: ICCONIC hip fracture persona

Author: Papanicolas, Irene, Figueroa, Jose F., Schoenfeld, Andrew J., Riley, Kristen, Abiona, Olukorede, Arvin, Mlna, Atsma, Femke, Bernal-Delgado, Enrique, Bowden, Nicholas, Blankart, Carl Rudolf, Deeny, Sarah, Estupinan-Romero, Francisco, Gauld, Robin, Haywood, Philip, Janlov, Nils, Knight, Hannah, Lorenzoni, Luca, Marino, Alberto, Or, Zeynep, Penneau, Anne, Shatrov, Kosta, Stafford, Mai, Galien, Onno van de, Gool, Kees van, Wodchis, Walter, and Jha, Ashish K.
Subjects: Medical care -- Utilization, Aged -- Economic aspects -- Diseases, Medical economics -- Comparative analysis -- International aspects, Hip joint -- Fractures, Business, Health care industry
Abstract: Objective: This study explores differences in spending and utilization of health care services for an older person with frailty before and after a hip fracture. Data Sources: We used individual-level patient data from five care settings. Study Design: We compared utilization and spending of an older person aged older than 65 years for 365 days before and after a hip fracture across 11 countries and five domains of care as follows: acute hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, and outpatient drugs. Utilization and spending were age and sex standardized.. Data Collection/Extraction Methods: The data were compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries as follows: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. Principal Findings: The sample ranged from 1859 patients in Spain to 42,849 in France. Mean age ranged from 81.2 in Switzerland to 84.7 in Australia. The majority of patients across countries were female. Relative to other countries, the United States had the lowest inpatient length of stay (11.3), but the highest number of days were spent in post-acute care rehab (100.7) and, on average, had more visits to specialist providers (6.8 per year) than primary care providers (4.0 per year). Across almost all sectors, the United States spent more per person than other countries per unit ($13,622 per hospitalization, $233 per primary care visit, $386 per MD specialist visit). Patients also had high expenditures in the year prior to the hip fracture, mostly concentrated in the inpatient setting. Conclusion: Across 11 high-income countries, there is substantial variation in health care spending and utilization for an older person with frailty, both before and after a hip fracture. The United States is the most expensive country due to high prices and above average utilization of post-acute rehab care. KEYWORDS health systems, hip fracture, international comparisons, What is known on this topic * Health systems spend different amounts caring for patients. * Older persons with frailty are more likely to incur high levels of spending as [...]
Published: 2021
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10. A methodology for identifying high-need, high-cost patient personas for international comparisons

Author: Figueroa, Jose F., Horneffer, Kathryn E., Riley, Kristen, Abiona, Olukorede, Arvin, Mina, Atsma, Femke, Bernal-Delgado, Enrique, Blankart, Carl Rudolf, Bowden, Nicholas, Deeny, Sarah, Estupinan-Romero, Francisco, Gauld, Robin, Hansen, Tonya Moen, Haywood, Philip, Janlov, Nils, Knight, Hannah, Lorenzoni, Luca, Marino, Alberto, Or, Zeynep, Pellet, Leila, Orlander, Duncan, Penneau, Anne, Schoenfeld, Andrew J., Shatrov, Kosta, Skudal, Kjersti Eeg, Stafford, Mai, Galien, Onno van de, Gool, Kees van, Wodchis, Walter P., Tanke, Marit, Jha, Ashish K., and Papanicolas, Irene
Subjects: Business, Health care industry
Abstract: Objective: To establish a methodological approach to compare two high-need, highcost (HNHC) patient personas internationally. Data sources: Linked individual-level administrative data from the inpatient and outpatient sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. Study design: We outline a methodological approach to identify HNHC patient types for international comparisons that reflect complex, priority populations defined by the National Academy of Medicine. We define two patient profiles using accessible patient-level datasets linked across different domains of care-hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, long-term care, homehealth care, and outpatient drugs. The personas include a frail older adult with a hip fracture with subsequent hip replacement and an older person with complex multimorbidity, including heart failure and diabetes. We demonstrate their comparability by examining the characteristics and clinical diagnoses captured across countries. Data collection/extraction methods: Data collected by ICCONIC partners. Principal findings: Across 11 countries, the identification of HNHC patient personas was feasible to examine variations in healthcare utilization, spending, and patient outcomes. The ability of countries to examine linked, individual-level data varied, with the Netherlands, Canada, and Germany able to comprehensively examine care across all seven domains, whereas other countries such as England, Switzerland, and New Zealand were more limited. All countries were able to identify a hip fracture persona and a heart failure persona. Patient characteristics were reassuringly similar across countries. Conclusion: Although there are cross-country differences in the availability and structure of data sources, countries had the ability to effectively identify comparable HNHC personas for international study. This work serves as the methodological paper for six accompanying papers examining differences in spending, utilization, and outcomes for these personas across countries. KEYWORDS international comparison, vignettes, What is known on this topic * International comparisons of health systems mostly rely on comparisons of the inpatient setting. * Little comparative work examines patterns of spending and utilization [...]
Published: 2021
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11. Differences in health outcomes for high-need high-cost patients across high-income countries

Author: Papanicolas, Irene, Riley, Kristen, Abiona, Olukorede, Arvin, Mina, Atsma, Femke, Bemal-Delgado, Enrique, Bowden, Nicholas, Blankart, Carl Rudolf, Deeny, Sarah, Estupinan-Romero, Francisco, Gauld, Robin, Haywood, Philip, Janlov, Nils, Knight, Hannah, Lorenzoni, Luca, Marino, Alberto, Or, Zeynep, Penneau, Anne, Schoenfeld, Andrew J., Shatrov, Kosta, Stafford, Mai, Galien, Onno van de, Gool, Kees van, Wodchis, Walter, Jha, Ashish K., and Figueroa, Jose F.
Subjects: Outcome and process assessment (Health Care) -- International aspects, Medical care -- Quality management, Business, Health care industry
Abstract: Objective: This study explores variations in outcomes of care for two types of patient personas-an older frail person recovering from a hip fracture and a multimorbid older patient with congestive heart failure (CHF) and diabetes. Data Sources: We used individual-level patient data from 11 health systems. Study Design: We compared inpatient mortality, mortality, and readmission rates at 30, 90, and 365 days. For the hip fracture persona, we also calculated time to surgery. Outcomes were standardized by age and sex. Data Collection/Extraction Methods: Data was compiled by the International Collaborative on Costs, Outcomes and Needs in Care across 11 countries for the years 2016-2017 (or nearest): Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. Principal Findings: The hip sample across ranged from 1859 patients in Aragon, Spain, to 42,849 in France. Mean age ranged from 81.2 in Switzerland to 84.7 in Australia, and the majority of hip patients across countries were female. The congestive heart failure (CHF) sample ranged from 742 patients in England to 21,803 in the United States. Mean age ranged from 77.2 in the United States to 80.3 in Sweden, and the majority of CHF patients were males. Average in-hospital mortality across countries was 4.1%. for the hip persona and 6.3% for the CHF persona. At the year mark, the mean mortality across all countries was 25.3% for the hip persona and 32.7% for CHF persona. Across both patient types, England reported the highest mortality at 1 year followed by the United States. Readmission rates for all periods were higher for the CHF persona than the hip persona. At 30 days, the average readmission rate for the hip persona was 13.8% and 27.6% for the CHF persona. Conclusion: Across 11 countries, there are meaningful differences in health system outcomes for two types of patients. KEYWORDS health systems, mortality, readmissions, What is known on this topic * Patient outcomes such as mortality and readmissions are commonly used as measures of performance of heatlh systems. * There are few sources of [...]
Published: 2021
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12. Building Collapse

Author: Mai Alshammari, Timothy E. Davis, and Catherine Ordun
Subjects: Engineering, business.industry, Forensic engineering, business, Building collapse
Published: 2024

13. Leading with Cultural Intelligence

Author: Moua, Mai, author
Subjects: Business, Personnel management, Management, Cultural and Ethnic Studies, Textbooks
Abstract: Organizations in the 21st century are in need of culturally intelligent managers and leaders. The pressure to build authentic global networks and to cultivate an appreciation and respect for cultural differences and similarities has driven cultural intelligence to the forefront of diversity and inclusion work. Preparing today's students to be effective leaders in their professional lives requires that they hone their cultural intelligence as it is vital to working inter- and intra-culturally in today's global economy. This unique ability to identify, recognize, and acknowledge the differences and similarities that exist between and among cultural groups and systems will set their leadership skills apart from the masses. And when applied, cultural intelligence can bridge the gap in cultural misunderstanding by creating awareness, knowledge, and patience of cultural norms and behaviors. The purpose of Leading With Cultural Intelligence by Mia Moua is to outline the important ideas of cultural intelligence and the steps that must be considered and then practiced to become a culturally intelligent leader. The most important aspect covered within this book is that cultural intelligence is both a strategy and a tool towards cultural competency and proficiency. This book outlines the importance of understanding culture and its impact on organizations, the strategic value of cultural intelligence, and the significance of integrating and practicing cultural intelligence in everyday business life. When all these aspects are properly integrated and applied in the leadership and management process, organizations are more innovative and adaptable to respond to cultural changes.
Published: 2012

14. Changes in early high-risk opioid prescribing practices after policy interventions in Washington State

Author: Sears, Jeanne M., Haight, John R., Fulton-Kehoe, Deborah, Wickizer, Thomas M., Mai, Jaymie, and Franklin, Gary M.
Subjects: Opioids -- Dosage and administration -- Laws, regulations and rules, Prescription writing -- Forecasts and trends, Pharmaceutical policy -- Evaluation, Government regulation, Market trend/market analysis, Business, Health care industry
Abstract: Objective: To test associations between several opioid prescribing policy interventions and changes in early (acute/subacute) high-risk opioid prescribing practices. Data Sources: Population-based workers' compensation pharmacy billing and claims data, Washington State Department of Labor and Industries (January 2008-June 2015). Study Design: We used interrupted time series analysis to test associations between three policy intervention timepoints and monthly proportions of population-based measures of high-risk, low-risk, and any workers' compensation-related opioid prescribing. We also tested associations between the policy intervention timepoints and five high-risk opioid prescribing indicators among workers prescribed any opioids within 3 months after injury: (a) >7 cumulative (not necessarily consecutive) days' supply of opioids during the acute phase, (b) high-dose opioids, (c) concurrent sedatives, (d) chronic opioids, and (e) a composite high-risk opioid prescribing indicator. Principal Findings: Within 3 months after injury, 9 percent of workers were exposed to high-risk and 12 percent to low-risk workers' compensation-related opioid prescribing; 79 percent filled no workers' compensation-related opioid prescription. Among workers prescribed any early (acute/subacute) opioids, the indicator for >7 days' supply of opioids during the acute phase was present for 30 percent, high-dose opioids for 18 percent, concurrent sedatives for 3 percent, and chronic opioids for 2 percent. Beyond a general shift toward more infrequent and lower-risk workers' compensation-related opioid prescribing, each policy intervention timepoint was significantly associated with reductions in specific acute/subacute high-risk opioid prescribing indicators; each of the four specific high-risk opioid prescribing indicators had significant reductions associated with at least one policy. Conclusions: Several state-level opioid prescribing policies were significantly associated with safer workers' compensation-related opioid prescribing practices during the first 3 months after injury (acute/subacute phase), which should in turn reduce transition to chronic opioids and associated negative health outcomes. KEYWORDS analgesics, drug prescriptions, inappropriate prescribing, interrupted time series analysis, opioid, policy, workers' compensation, 1 | INTRODUCTION Over the past two decades, high-risk opioid prescribing practices have contributed to a national epidemic of opioid overdose deaths. (1-4) High-risk opioid prescribing practices include excessive initial [...]
Published: 2021
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15. Insect repellents: An updated review for the clinician

Author: Mai-Anh N. Vu, Quoc-Bao D. Nguyen, and Adelaide A. Hebert
Subjects: 0301 basic medicine, biology, business.industry, 030208 emergency & critical care medicine, IR3535, Dermatology, medicine.disease, biology.organism_classification, Dengue fever, Zika virus, DEET, 03 medical and health sciences, chemistry.chemical_compound, 030104 developmental biology, 0302 clinical medicine, Lyme disease, chemistry, Infectious disease (medical specialty), Environmental health, medicine, business, Arthropod Vector, Malaria
Abstract: Malaria, Zika virus, West Nile virus, Dengue fever, and Lyme disease are common causes of morbidity and mortality around the world. While arthropod bites may cause local inflammation and discomfort, a greater concern is the potential to develop deadly systemic infection. The use of insect repellents (IR) to prevent systemic infections constitutes a fundamental public health effort. Cost-effectiveness, availability, and high-efficacy against arthropod vectors are key characteristics of an ideal IR. Currently, numerous IRs are available on the market, with DEET (N,N-diethyl-3-methylbenzamide) being the most widely used. DEET has an excellent safety profile and remarkable protection against mosquitoes and various other arthropods. Other EPA-registered IR ingredients (permethrin, picaridin, IR3535, oil of lemon eucalyptus, oil of citronella, catnip oil, and 2-undecanone) are alternative IRs of great interest due to some having efficacies comparable to that of DEET. These alternative IRs possess low toxicity and favorable customer experiences in utilization (e.g., cosmetically pleasant, naturally occurring). This review summarizes currently available EPA-registered IRs: the origins, mechanisms of action, side effect profiles, and available formulations will be discussed. This review will enable the clinician to select the best IR option to meet patients' needs and provide the greatest protection from arthropod bites and sequelae.
Published: 2023

16. Cloud Mining Pool Aided Blockchain-Enabled Internet of Things: An Evolutionary Game Approach

Author: Ni Zhang, Song Guo, Tianle Mai, Mohsen Guizani, Lexi Xu, and Haipeng Yao
Subjects: Computer Networks and Communications, Computer science, business.industry, Data management, Cloud computing, Energy consumption, Data science, Computer Science Applications, Resource (project management), Hardware and Architecture, Scalability, Resource management, business, Selection algorithm, Software, Information Systems, Block (data storage)
Abstract: The past few years have witnessed an exponential growth of diverse Internet of Things (IoT) devices as well as compelling applications ranging from industrial production, intelligent transport, warehouse logistics to medical care. Dramatic advances in IoT technology not only bring enormous economic opportunities but also challenges. Recently, the integration of IoT and blockchain (BCoT) is considered a promising solution . Blockchain technology provides a secure and scalable framework to improve the data management of IoT devices. However, the huge computation and energy consumption in the blockchain consensus process prevents it from being directly applied as a generic platform for IoT. In this paper, we propose a cloud mining pool-aided BCoT architecture. The IoT devices can rent the computation resource from the cloud services dynamically. Then, the individual cloud miners are grouped into several mining pools to share block rewards to earn a steady profit and reduce the income variance. Based on this architecture, we study the mining pool selection problem and analyze the colony behaviors of IoT devices. We propose a centralized evolutionary game-based pool selection algorithm. In addition, considering the non-cooperative relationship among multiple miners, we also propose a lightweight distributed reinforcement learning algorithm, named the WoLF-PHC algorithm.
Published: 2023

17. Hierarchical Bayesian LSTM for Head Trajectory Prediction on Omnidirectional Images

Author: Xin Deng, Yichen Guo, Mai Xu, Zhenyu Guan, Li Yang, and Fangyuan Gao
Subjects: Viewport, Dependency (UML), business.industry, Computer science, Applied Mathematics, Gaussian, Posterior probability, Bayesian probability, Sampling (statistics), Bayes Theorem, Pattern recognition, Bayesian inference, symbols.namesake, Computational Theory and Mathematics, Artificial Intelligence, symbols, Trajectory, Humans, Neural Networks, Computer, Computer Vision and Pattern Recognition, Artificial intelligence, business, Algorithms, Software
Abstract: When viewing omnidirectional images (ODIs), viewers can access different viewports via head movement (HM), which sequentially forms head trajectories in spatial-temporal domain. Thus, head trajectories play a key role in modeling human attention on ODIs. In this paper, we establish a large-scale dataset collecting 21,600 head trajectories on 1,080 ODIs. By mining our dataset, we find two important factors influencing head trajectories, i.e., temporal dependency and subject-specific variance. Accordingly, we propose a novel approach integrating hierarchical Bayesian inference into long short-term memory (LSTM) network for head trajectory prediction on ODIs, which is called HiBayes-LSTM. In HiBayes-LSTM, we develop a mechanism of Future Intention Estimation (FIE), which captures the temporal correlations from previous, current and estimated future information, for predicting viewport transition. Additionally, a training scheme called Hierarchical Bayesian inference (HBI) is developed for modeling inter-subject uncertainty in HiBayes-LSTM. For HBI, we introduce a joint Gaussian distribution in a hierarchy, to approximate the posterior distribution over network weights. By sampling subject-specific weights from the approximated posterior distribution, our HiBayes-LSTM approach can yield diverse viewport transition among different subjects and obtain multiple head trajectories. Extensive experiments validate that our HiBayes-LSTM approach significantly outperforms 9 state-of-the-art approaches for trajectory prediction on ODIs, and then it is successfully applied to predict saliency on ODIs.
Published: 2022

18. Preview of the 2021 Annual Update of the International Economic Accounts

Author: Garber, Molly, Hanson, Jessica, and Hoang, Mai-Chi
Subjects: Business, Economics
Abstract: In June, the Bureau of Economic Analysis (BEA) will release the results of the 2021 annual update of the U.S. International Transactions Accounts (ITAs) and the U.S. International Investment Position [...]
Published: 2021

19. Diabetes Mellitus, Elevated Hemoglobin A1c, and Glycated Albumin Are Associated with the Presence of All-Cause Dementia and Alzheimer’s Disease: The JPSC-AD Study

Author: Moeko, Noguchi-Shinohara, Sohshi, Yuki-Nozaki, Chiemi, Abe, Ayaka, Mori, Mai, Horimoto, Masami, Yokogawa, Natsuko, Ishida, Yukio, Suga, Junko, Ishizaki, Mai, Ishimiya, Hiroyuki, Nakamura, Kiyonobu, Komai, Mao, Shibata, Tomoyuki, Ohara, Jun, Hata, Toshiharu, Ninomiya, and Masahito, Yamada
Subjects: Blood Glucose, Glycation End Products, Advanced, Male, medicine.medical_specialty, endocrine system diseases, Gastroenterology, Prediabetic State, Insulin resistance, Japan, Alzheimer Disease, Internal medicine, Diabetes mellitus, Diabetes Mellitus, medicine, Humans, Dementia, Glycated Serum Albumin, Prospective Studies, Prediabetes, Risk factor, Vascular dementia, Serum Albumin, Aged, Glycemic, Glycated Hemoglobin, business.industry, General Neuroscience, General Medicine, Odds ratio, medicine.disease, Psychiatry and Mental health, Clinical Psychology, Cross-Sectional Studies, Logistic Models, Hyperglycemia, Multivariate Analysis, Female, Insulin Resistance, Geriatrics and Gerontology, business
Abstract: Background: Glucose dysmetabolism is an important risk factor for dementia. Objective: We investigated the associations of diabetes mellitus, the levels of glycemic measures, and insulin resistance and secretion measures with dementia and its subtypes in a cross-sectional study. Methods: In this study, 10,214 community-dwelling participants were enrolled. Hemoglobin A1c (HbA1c), the homeostasis model assessment (HOMA) for insulin resistance (HOMA-IR), the HOMA of percent β-cell function (HOMA-β), and the glycated albumin (GA) was evaluated. The associations of each measure with Alzheimer’s disease (AD) and vascular dementia (VaD) were investigated. Results: The multivariable-adjusted odds ratios (ORs) of AD were significantly higher in participants with diabetes mellitus than in those without diabetes (1.46 [95% CI: 1.08–1.97]). Higher HbA1c levels were significantly associated with AD at diabetes (≥6.5%) and even at prediabetes (5.7 %–6.4 %) levels; multivariable-adjusted ORs for AD in participants at the diabetes level were 1.72 (95% CI: 1.19–2.49), and those in participants at the prediabetes level were 1.30 (95% CI: 1.00–1.68), compared with those in normal participants. Moreover, higher GA levels were associated with AD. No associations were observed between the diabetic status or the levels of glycemic measures and VaD. In addition, no significant relationships were observed between insulin resistance and secretion measurements and AD and VaD. Conclusion: Our findings indicate that diabetes mellitus and hyperglycemia are significantly associated with AD, even in individuals at the prediabetes level.
Published: 2022

20. Flexible cutoff values for fit indices in the evaluation of structural equation models

Author: Niemand, Thomas and Mai, Robert
Subjects: Market research -- Methods, Structural equation modeling -- Evaluation, Advertising, marketing and public relations, Business
Abstract: Abstract Researchers often struggle when applying 'golden rules of thumb' to evaluate structural equation models. This paper questions the notion of universal thresholds and calls for adjusted orientation points that [...]
Published: 2018
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21. AN INTEGRATED DAMAGE, VISUAL, AND RADAR ANALYSIS OF THE 2015 FOSHAN, GUANGDONG, EF3 TORNADO IN CHINA PRODUCED BY THE LANDFALLING TYPHOON MUJIGAE (2015): Damage- and visually derived tornado features, radar-derived tornado signatures, and their juxtapositions are revealed in a tropical cyclone-associated enhanced Fujita 3 (EF3) tornado

Author: Bai, Lanqiang, Meng, Zhiyong, Huang, Ling, Yan, Lijun, Li, Zhaohui, Mai, Xuehu, Huang, Yipeng, Yao, Dan, and Wang, Xi
Subjects: Storm damage -- Analysis, Typhoons -- China -- Analysis, Business, Earth sciences, Google Earth (Geographic information system)
Abstract: This work presents an integrated damage, visual, and radar analysis of a tropical cyclone (TC) tornado that has not been documented as detailed as midlatitude tornadoes. On 4 October 2015, [...]
Published: 2017
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22. Impact of COVID-19 on Cardiovascular Testing in the United States Versus the Rest of the World

Author: Hirschfeld, Cole B., Shaw, Leslee J., Williams, Michelle C., Lahey, Ryan, Villines, Todd C., Dorbala, Sharmila, Choi, Andrew D., Shah, Nishant R., Bluemke, David A., Berman, Daniel S., Blankstein, Ron, Ferencik, Maros, Narula, Jagat, Winchester, David, Malkovskiy, Eli, Goebel, Benjamin, Randazzo, Michael J., Lopez-Mattei, Juan, Parwani, Purvi, Vitola, Joao V., Cerci, Rodrigo J., Better, Nathan, Raggi, Paolo, Lu, Bin, Sergienko, Vladimir, Sinitsyn, Valentin, Kudo, Takashi, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Cohen, Yosef A., Pascual, Thomas N. B., Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, Einstein, Andrew J., Cerci, Rodrigo, Hinterleitner, Gerd, Lu, Yao, Morozova, Olga, Xu, Zhuoran, Cohen, Yosef, Randazzo, Michael, Choi, Andrew, Nasery, Mohammad Nawaz, Goda, Artan, Shirka, Ervina, Benlabgaa, Rabie, Bouyoucef, Salah, Medjahedi, Abdelkader, Nailli, Qais, Agolti, Mariela, Aguero, Roberto Nicolas, Alak, Maria del Carmen, Alberguina, Lucia Graciela, Arroñada, Guillermo, Astesiano, Andrea, Astesiano, Alfredo, Norton, Carolina Bas, Benteo, Pablo, Blanco, Juan, Bonelli, Juan Manuel, Bustos, Jose Javier, Cabrejas, Raul, Cachero, Jorge, Campisi, Roxana, Canderoli, Alejandro, Carames, Silvia, Carrascosa, Patrícia, Castro, Ricardo, Cendoya, Oscar, Cognigni, Luciano Martin, Collaud, Carlos, Cortes, Claudia, Courtis, Javier, Cragnolino, Daniel, Daicz, Mariana, De La Vega, Alejandro, De Maria, Silvia Teresa, Del Riego, Horacio, Dettori, Fernando, Deviggiano, Alejandro, Dragonetti, Laura, Embon, Mario, Enriquez, Ruben Emilio, Ensinas, Jorge, Faccio, Fernando, Facello, Adolfo, Garofalo, Diego, Geronazzo, Ricardo, Gonza, Natalia, Gutierrez, Lucas, Guzzo, Miguel Angel, Hasbani, Victor, Huerin, Melina, Jäger, Victor, Lewkowicz, Julio Manuel, Nieves A López De Munaín, Maria, Lotti, Jose Maria, Marquez, Alejandra, Masoli, Osvaldo, Masoli, Osvaldo Horacio, Mastrovito, Edgardo, Mayoraz, Matias, Melado, Graciela Eva, Mele, Anibal, Merani, Maria Fernanda, Meretta, Alejandro Horacio, Molteni, Susana, Montecinos, Marcos, Noguera, Eduardo, Novoa, Carlos, Sueldo, Claudio Pereyra, Ascani, Sebastian Perez, Pollono, Pablo, Pujol, Maria Paula, Radzinschi, Alejandro, Raimondi, Gustavo, Redruello, Marcela, Rodríguez, Marina, Rodríguez, Matías, Romero, Romina Lorena, Acuña, Arturo Romero, Rovaletti, Federico, San Miguel, Lucas, Solari, Lucrecia, Strada, Bruno, Traverso, Sonia, Traverzo, Sonia Simona, Espeche, Maria del Huerto Velazquez, Weihmuller, Juan Sebastian, Wolcan, Juan, Zeffiro, Susana, Sakanyan, Mari, Beuzeville, Scott, Boktor, Raef, Butler, Patrick, Calcott, Jennifer, Carr, Loretta, Chan, Virgil, Chao, Charles, Chong, Woon, Dobson, Mark, Downie, D'Arne, Dwivedi, Girish, Elison, Barry, Engela, Jean, Francis, Roslyn, Gaikwad, Anand, Basavaraj, Ashok Gangasandra, Goodwin, Bruce, Greenough, Robert, Hamilton-Craig, Christian, Hsieh, Victar, Joshi, Subodh, Lederer, Karin, Lee, Kenneth, Lee, Joseph, Magnussen, John, Mai, Nghi, Mander, Gordon, Murton, Fiona, Nandurkar, Dee, Neill, Johanne, O'Rourke, Edward, O'Sullivan, Patricia, Pandos, George, Pathmaraj, Kunthi, Pitman, Alexander, Poulter, Rohan, Premaratne, Manuja, Prior, David, Ridley, Lloyd, Rutherford, Natalie, Salehi, Hamid, Saunders, Connor, Scarlett, Luke, Seneviratne, Sujith, Shetty, Deepa, Shrestha, Ganesh, Shulman, Jonathan, Solanki, Vijay, Stanton, Tony, Stuart, Murch, Stubbs, Michael, Swainson, Ian, Taubman, Kim, Taylor, Andrew, Thomas, Paul, Unger, Steven, Upton, Anthony, Vamadevan, Shankar, Van Gaal, William, Verjans, Johan, Voutnis, Demetrius, Wayne, Victor, Wilson, Peter, Wong, David, Wong, Kirby, Younger, John, Feuchtner, Gudrun, Mirzaei, Siroos, Weiss, Konrad, Maroz-Vadalazhskaya, Natallia, Gheysens, Olivier, Homans, Filip, Moreno-Reyes, Rodrigo, Pasquet, Agnès, Roelants, Veronique, Van De Heyning, Caroline M., Ríos, Raúl Araujo, Soldat-Stankovic, Valentina, Stankovic, Sinisa, Albernaz Siqueira, Maria Helena, Almeida, Augusto, Alves Togni, Paulo Henrique, Andrade, Jose Henrique, Andrade, Luciana, Anselmi, Carlos, Araújo, Roberta, Azevedo, Guilherme, Bezerra, Sabbrina, Biancardi, Rodrigo, Grossman, Gabriel Blacher, Brandão, Simone, Pianta, Diego Bromfman, Carreira, Lara, Castro, Bruno, Chang, Tien, Cunali, Fernando, Cury, Roberto, Dantas, Roberto, de Amorim Fernandes, Fernando, De Lorenzo, Andrea, De Macedo Filho, Robson, Erthal, Fernanda, Fernandes, Fabio, Fernandes, Juliano, De Souza, Thiago Ferreira, Alves, Wilson Furlan, Ghini, Bruno, Goncalves, Luiz, Gottlieb, Ilan, Hadlich, Marcelo, Kameoka, Vinícius, Lima, Ronaldo, Lima, Adna, Lopes, Rafael Willain, Machado e Silva, Ricardo, Magalhães, Tiago, Silva, Fábio Martins, Mastrocola, Luiz Eduardo, Medeiros, Fábio, Meneghetti, José Claudio, Naue, Vania, Naves, Danilo, Nolasco, Roberto, Nomura, Cesar, Oliveira, Joao Bruno, Paixao, Eduardo, De Carvalho, Filipe Penna, Pinto, Ibraim, Possetti, Priscila, Quinta, Mayra, Nogueira Ramos, Rodrigo Rizzo, Rocha, Ricardo, Rodrigues, Alfredo, Rodrigues, Carlos, Romantini, Leila, Sanches, Adelina, Santana, Sara, Sara da Silva, Leonardo, Schvartzman, Paulo, Matushita, Cristina Sebastião, Senra, Tiago, Shiozaki, Afonso, Menezes de Siqueira, Maria Eduarda, Siqueira, Cristiano, Smanio, Paola, Soares, Carlos Eduardo, Junior, José Soares, Bittencourt, Marcio Sommer, Spiro, Bernardo, Mesquita, Cláudio Tinoco, Torreao, Jorge, Torres, Rafael, Uellendahl, Marly, Monte, Guilherme Urpia, Veríssimo, Otávia, Cabeda, Estevan Vieira, Pedras, Felipe Villela, Waltrick, Roberto, Zapparoli, Marcello, Naseer, Hamid, Garcheva-Tsacheva, Marina, Kostadinova, Irena, Theng, Youdaline, Abikhzer, Gad, Barette, Rene, Chow, Benjamin, Dabreo, Dominique, Friedrich, Matthias, Garg, Ria, Hafez, Mohammed Nassoh, Johnson, Chris, Kiess, Marla, Leipsic, Jonathon, Leung, Eugene, Miller, Robert, Oikonomou, Anastasia, Probst, Stephan, Roifman, Idan, Small, Gary, Tandon, Vikas, Trivedi, Adwait, White, James, Zukotynski, Katherine, Canessa, Jose, Muñoz, Gabriel Castro, Concha, Carmen, Hidalgo, Pablo, Lovera, Cesar, Massardo, Teresa, Vargas, Luis Salazar, Abad, Pedro, Arturo, Harold, Ayala, Sandra, Benitez, Luis, Cadena, Alberto, Caicedo, Carlos, Moncayo, Antonio Calderón, Gomez, Sharon, Gutierrez Villamil, Claudia T., Jaimes, Claudia, Londoño, Juan, Londoño Blair, Juan Luis, Pabon, Luz, Pineda, Mauricio, Rojas, Juan Carlos, Ruiz, Diego, Escobar, Manuel Valencia, Vasquez, Andres, Vergel, Damiana, Zuluaga, Alejandro, Gamboa, Isabel Berrocal, Castro, Gabriel, González, Ulises, Baric, Ana, Batinic, Tonci, Franceschi, Maja, Paar, Maja Hrabak, Jukic, Mladen, Medakovic, Petar, Persic, Viktor, Prpic, Marina, Punda, Ante, Batista, Juan Felipe, Gómez Lauchy, Juan Manuel, Gutierrez, Yamile Marcos, Menéndez, Rayner, Peix, Amalia, Rochela, Luis, Panagidis, Christoforos, Petrou, Ioannis, Engelmann, Vaclav, Kaminek, Milan, Kincl, Vladimír, Lang, Otto, Simanek, Milan, Abdulla, Jawdat, Bøttcher, Morten, Christensen, Mette, Gormsen, Lars Christian, Hasbak, Philip, Hess, Søren, Holdgaard, Paw, Johansen, Allan, Kyhl, Kasper, Norgaard, Bjarne Linde, Øvrehus, Kristian Altern, Rønnow Sand, Niels Peter, Steffensen, Rolf, Thomassen, Anders, Zerahn, Bo, Perez, Alfredo, Escorza Velez, Giovanni Alejandro, Velez, Mayra Sanchez, Abdel Aziz, Islam Shawky, Abougabal, Mahasen, Ahmed, Taghreed, Allam, Adel, Asfour, Ahmed, Hassan, Mona, Hassan, Alia, Ibrahim, Ahmed, Kaffas, Sameh, Kandeel, Ahmed, Ali, Mohamed Mandour, Mansy, Ahmad, Maurice, Hany, Nabil, Sherif, Shaaban, Mahmoud, Flores, Ana Camila, Poksi, Anne, Knuuti, Juhani, Kokkonen, Velipekka, Larikka, Martti, Uusitalo, Valtteri, Bailly, Matthieu, Burg, Samuel, Deux, Jean-François, Habouzit, Vincent, Hyafil, Fabien, Lairez, Olivier, Proffit, Franck, Regaieg, Hamza, Sarda-Mantel, Laure, Tacher, Vania, Schneider, Roman P., Ayetey, Harold, Angelidis, George, Archontaki, Aikaterini, Chatziioannou, Sofia, Datseris, Ioannis, Fragkaki, Christina, Georgoulias, Panagiotis, Koukouraki, Sophia, Koutelou, Maria, Kyrozi, Eleni, Repasos, Evangelos, Stavrou, Petros, Valsamaki, Pipitsa, Gonzalez, Carla, Gutierrez, Goleat, Maldonado, Alejandro, Buga, Klara, Garai, Ildiko, Schmidt, Erzsébet, Szilveszter, Balint, Várady, Edit, Banthia, Nilesh, Bhagat, Jinendra Kumar, Bhargava, Rishi, Bhat, Vivek, Bhatia, Mona, Choudhury, Partha, Chowdekar, Vijay Sai, Irodi, Aparna, Jain, Shashank, Joseph, Elizabeth, Kumar, Sukriti, Girijanandan Mahapatra, Prof Dr, Mitra, Deepanjan, Mittal, Bhagwant Rai, Ozair, Ahmad, Patel, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Saxena, Sudhir, Sengupta, Shantanu, Singh, Santosh, Singh, Bhanupriya, Sood, Ashwani, Verma, Atul, Affandi, Erwin, Alam Edison, Padma Savenadia, Gunawan, Gani, Hapkido, Habusari, Hidayat, Basuki, Huda, Aulia, Mukti, Anggoro Praja, Prawiro, Djoko, Soeriadi, Erwin Affandi, Syawaluddin, Hilman, Albadr, Amjed, Assadi, Majid, Emami, Farshad, Houshmand, Golnaz, Maleki, Majid, Rostami, Maryam Tajik, Zakavi, Seyed Rasoul, Zaid, Eed Abu, Agranovich, Svetlana, Arnson, Yoav, Bar-Shalom, Rachel, Frenkel, Alex, Knafo, Galit, Lugassi, Rachel, Maor Moalem, Israel Shlomo, Mor, Maya, Muskal, Noam, Ranser, Sara, Shalev, Aryeh, Albano, Domenico, Alongi, Pierpaolo, Arnone, Gaspare, Bagatin, Elisa, Baldari, Sergio, Bauckneht, Matteo, Bertelli, Paolo, Bianco, Francesco, Bonfiglioli, Rachele, Boni, Roberto, Bruno, Andrea, Bruno, Isabella, Busnardo, Elena, Califaretti, Elena, Camoni, Luca, Carnevale, Aldo, Casoni, Roberta, Cavallo, Armando Ugo, Cavenaghi, Giorgio, Chierichetti, Franca, Chiocchi, Marcello, Cittanti, Corrado, Colletta, Mauro, Conti, Umberto, Cossu, Alberto, Cuocolo, Alberto, Cuzzocrea, Marco, De Rimini, Maria Luisa, De Vincentis, Giuseppe, Del Giudice, Eleonora, Del Torto, Alberico, Della Tommasina, Veronica, Durmo, Rexhep, Erba, Paola Anna, Evangelista, Laura, Faletti, Riccardo, Faragasso, Evelina, Farsad, Mohsen, Ferro, Paola, Florimonte, Luigia, Frantellizzi, Viviana, Fringuelli, Fabio Massimo, Gatti, Marco, Gaudiano, Angela, Gimelli, Alessia, Giubbini, Raffaele, Giuffrida, Francesca, Ialuna, Salvatore, Laudicella, Riccardo, Leccisotti, Lucia, Leva, Lucia, Liga, Riccardo, Liguori, Carlo, Longo, Giampiero, Maffione, Margherita, Mancini, Maria Elisabetta, Marcassa, Claudio, Milan, Elisa, Nardi, Barbara, Pacella, Sara, Pepe, Giovanna, Pontone, Gianluca, Pulizzi, Sabina, Quartuccio, Natale, Rampin, Lucia, Ricci, Fabrizio, Rossini, Pierluigi, Rubini, Giuseppe, Russo, Vincenzo, Sacchetti, Gian Mauro, Sambuceti, Gianmario, Scarano, Massimo, Sciagrà, Roberto, Sperandio, Massimiliano, Stefanelli, Antonella, Ventroni, Guido, Zoboli, Stefania, Baugh, Dainia, Chambers, Duane, Madu, Ernest, Nunura, Felix, Asano, Hiroshi, Chimura, Chimura Misato, Fujimoto, Shinichiro, Fujisue, Koichiro, Fukunaga, Tomohisa, Fukushima, Yoshimitsu, Fukuyama, Kae, Hashimoto, Jun, Ichikawa, Yasutaka, Iguchi, Nobuo, Imai, Masamichi, Inaki, Anri, Ishimura, Hayato, Isobe, Satoshi, Kadokami, Toshiaki, Kato, Takao, Kumita, Shinichiro, Maruno, Hirotaka, Mataki, Hiroyuki, Miyagawa, Masao, Morimoto, Ryota, Moroi, Masao, Nagamachi, Shigeki, Nakajima, Kenichi, Nakata, Tomoaki, Nakazato, Ryo, Nanasato, Mamoru, Naya, Masanao, Norikane, Takashi, Ohta, Yasutoshi, Okayama, Satoshi, Okizaki, Atsutaka, Otomi, Yoichi, Otsuka, Hideki, Saito, Masaki, Sakata, Sakata Yasushi, Sarai, Masayoshi, Sato, Daisuke, Shiraishi, Shinya, Suwa, Yoshinobu, Takanami, Kentaro, Takehana, Kazuya, Taki, Junichi, Tamaki, Nagara, Taniguchi, Yasuyo, Teragawa, Hiroki, Tomizawa, Nobuo, Tsujita, Kenichi, Umeji, Kyoko, Wakabayashi, Yasushi, Yamada, Shinichiro, Yamazaki, Shinya, Yoneyama, Tatsuya, Rawashdeh, Mohammad, Batyrkhanov, Daultai, Dautov, Tairkhan, Makhdomi, Khalid, Ombati, Kevin, Alkandari, Faridah, Garashi, Masoud, Coie, Tchoyoson Lim, Rajvong, Sonexay, Kalinin, Artem, Kalnina, Marika, Haidar, Mohamad, Komiagiene, Renata, Kviecinskiene, Giedre, Mataciunas, Mindaugas, Vajauskas, Donatas, Picard, Christian, Karim, Noor Khairiah A., Reichmuth, Luise, Samuel, Anthony, Allarakha, Mohammad Aaftaab, Naojee, Ambedhkar Shantaram, Alexanderson-Rosas, Erick, Barragan, Erika, González-Montecinos, Alejandro Becerril, Cabada, Manuel, Rodriguez, Daniel Calderon, Carvajal-Juarez, Isabel, Cortés, Violeta, Cortés, Filiberto, De La Peña, Erasmo, Gama-Moreno, Manlio, González, Luis, Ramírez, Nelsy Gonzalez, Jiménez-Santos, Moisés, Matos, Luis, Monroy, Edgar, Morelos, Martha, Ornelas, Mario, Ortga Ramirez, Jose Alberto, Preciado-Anaya, Andrés, Preciado-Gutiérrez, Óscar Ulises, Barragan, Adriana Puente, Rosales Uvera, Sandra Graciela, Sandoval, Sigelinda, Tomas, Miguel Santaularia, Sierra-Galan, Lilia M., Siu, Silvia, Vallejo, Enrique, Valles, Mario, Faraggi, Marc, Sereegotov, Erdenechimeg, Ilic, Srdja, Ben-Rais, Nozha, Alaoui, Nadia Ismaili, Taleb, Sara, Myo, Khin Pa, Thu, Phyo Si, Ghimire, Ram Kumar, Rajbanshi, Bijoy, Barneveld, Peter, Glaudemans, Andor, Habets, Jesse, Koopmans, Klaas Pieter, Manders, Jeroen, Pool, Stefan, Scholte, Arthur, Scholtens, Asbjørn, Slart, Riemer, Thimister, Paul, Van Asperen, Erik-Jan, Veltman, Niels, Verschure, Derk, Wagenaar, Nils, Edmond, John, Ellis, Chris, Johnson, Kerryanne, Keenan, Ross, Hua, Shaw, Occleshaw, Christopher, Sasse, Alexander, To, Andrew, Van Pelt, Niels, Young, Calum, Cuadra, Teresa, Roque Vanegas, Hector Bladimir, Soli, Idrissa Adamou, Issoufou, Djibrillou Moussa, Ayodele, Tolulope, Madu, Chibuzo, Onimode, Yetunde, Efros-Monsen, Elen, Forsdahl, Signe Helene, Hildre Dimmen, Jenni-Mari, Jørgensen, Arve, Krohn, Isabel, Løvhaugen, Pål, Bråten, Anders Tjellaug, Al Dhuhli, Humoud, Al Kindi, Faiza, Al-Bulushi, Naeema, Jawa, Zabah, Tag, Naima, Afzal, Muhammad Shehzad, Fatima, Shazia, Younis, Muhammad Numair, Riaz, Musab, Saadullah, Mohammad, Herrera, Yariela, Lenturut-Katal, Dora, Vázquez, Manuel Castillo, Ortellado, José, Akhter, Afroza, Cao, Dianbo, Cheung, Stephen, Dai, Xu, Gong, Lianggeng, Han, Dan, Hou, Yang, Li, Caiying, Li, Tao, Li, Dong, Li, Sijin, Liu, Jinkang, Liu, Hui, Ng, Ming Yen, Sun, Kai, Tang, Gongshun, Wang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wu, Jiang, Wu, Zhifang, Xia, Liming, Xiao, Jiangxi, Xu, Lei, Yang, Youyou, Yin, Wu, Yu, Jianqun, Yuan, Li, Zhang, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhu, Li, Alfaro, Ana, Abrihan, Paz, Barroso, Asela, Cruz, Eric, Gomez, Marie Rhiamar, Magboo, Vincent Peter, Medina, John Michael, Obaldo, Jerry, Pastrana, Davidson, Pawhay, Christian Michael, Quinon, Alvin, Tang, Jeanelle Margareth, Tecson, Bettina, Uson, Kristine Joy, Uy, Mila, Kostkiewicz, Magdalena, Kunikowska, Jolanta, Bettencourt, Nuno, Cantinho, Guilhermina, Ferreira, Antonio, Syed, Ghulam, Arnous, Samer, Atyani, Said, Byrne, Angela, Gleeson, Tadhg, Kerins, David, Meehan, Conor, Murphy, David, Murphy, Mark, Murray, John, O'Brien, Julie, Bang, Ji-In, Bom, Henry, Cho, Sang-Geon, Hong, Chae Moon, Jang, Su Jin, Jeong, Yong Hyu, Kang, Won Jun, Kim, Ji-Young, Lee, Jaetae, Namgung, Chang Kyeong, So, Young, Won, Kyoung Sook, Majstorov, Venjamin, Vavlukis, Marija, Salobir, Barbara Gužic, Štalc, Monika, Benedek, Theodora, Benedek, Imre, Mititelu, Raluca, Stan, Claudiu Adrian, Ansheles, Alexey, Dariy, Olga, Drozdova, Olga, Gagarina, Nina, Gulyaev, Vsevolod Milyevich, Itskovich, Irina, Karalkin, Anatoly, Kokov, Alexander, Migunova, Ekaterina, Pospelov, Viktor, Ryzhkova, Daria, Saifullina, Guzaliya, Sazonova, Svetlana, Shurupova, Irina, Trifonova, Tatjana, Ussov, Wladimir Yurievich, Vakhromeeva, Margarita, Valiullina, Nailya, Zavadovsky, Konstantin, Zhuravlev, Kirill, Alasnag, Mirvat, Okarvi, Subhani, Saranovic, Dragana Sobic, Keng, Felix, Jason See, Jia Hao, Sekar, Ramkumar, Yew, Min Sen, Vondrak, Andrej, Bejai, Shereen, Bennie, George, Bester, Ria, Engelbrecht, Gerrit, Evbuomwan, Osayande, Gongxeka, Harlem, Vuuren, Magritha Jv, Kaplan, Mitchell, Khushica, Purbhoo, Lakhi, Hoosen, Louw, Lizette, Malan, Nico, Milos, Katarina, Modiselle, Moshe, More, Stuart, Naidoo, Mathava, Scholtz, Leonie, Vangu, Mboyo, Aguadé-Bruix, Santiago, Blanco, Isabel, Cabrera, Antonio, Camarero, Alicia, Casáns-Tormo, Irene, Cuellar-Calabria, Hug, Flotats, Albert, Fuentes Cañamero, Maria Eugenia, García, María Elia, Jimenez-Heffernan, Amelia, Leta, Rubén, Diaz, Javier Lopez, Lumbreras, Luis, Marquez-Cabeza, Juan Javier, Martin, Francisco, Martinez de Alegria, Anxo, Medina, Francisco, Canal, Maria Pedrera, Peiro, Virginia, Pubul-Nuñez, Virginia, Rayo Madrid, Juan Ignacio, Rey, Cristina Rodríguez, Perez, Ricardo Ruano, Ruiz, Joaquín, Hernández, Gertrudis Sabatel, Sevilla, Ana, Zeidán, Nahla, Nanayakkara, Damayanthi, Udugama, Chandraguptha, Simonsson, Magnus, Alkadhi, Hatem, Buechel, Ronny Ralf, Burger, Peter, Ceriani, Luca, De Boeck, Bart, Gräni, Christoph, Juillet de Saint Lager Lucas, Alix, Kamani, Christel H., Kawel-Boehm, Nadine, Manka, Robert, Prior, John O., Rominger, Axel, Vallée, Jean-Paul, Khiewvan, Benjapa, Premprabha, Teerapon, Thientunyakit, Tanyaluck, Sellem, Ali, Kir, Kemal Metin, Sayman, Haluk, Sebikali, Mugisha Julius, Muyinda, Zerida, Kmetyuk, Yaroslav, Korol, Pavlo, Mykhalchenko, Olena, Pliatsek, Volodymyr, Satyr, Maryna, Albalooshi, Batool, Ahmed Hassan, Mohamed Ismail, Anderson, Jill, Bedi, Punit, Biggans, Thomas, Bularga, Anda, Bull, Russell, Burgul, Rajesh, Carpenter, John-Paul, Coles, Duncan, Cusack, David, Deshpande, Aparna, Dougan, John, Fairbairn, Timothy, Farrugia, Alexia, Gopalan, Deepa, Gummow, Alistair, Ramkumar, Prasad Guntur, Hamilton, Mark, Harbinson, Mark, Hartley, Thomas, Hudson, Benjamin, Joshi, Nikhil, Kay, Michael, Kelion, Andrew, Khokhar, Azhar, Kitt, Jamie, Lee, Ken, Low, Chen, Mak, Sze Mun, Marousa, Ntouskou, Martin, Jon, Mcalindon, Elisa, Menezes, Leon, Morgan-Hughes, Gareth, Moss, Alastair, Murray, Anthony, Nicol, Edward, Patel, Dilip, Peebles, Charles, Pugliese, Francesca, Luis Rodrigues, Jonathan Carl, Rofe, Christopher, Sabharwal, Nikant, Schofield, Rebecca, Semple, Thomas, Sharma, Naveen, Strouhal, Peter, Subedi, Deepak, Topping, William, Tweed, Katharine, Weir-Mccall, Jonathan, Abbara, Suhny, Abbasi, Taimur, Abbott, Brian, Abohashem, Shady, Abramson, Sandra, Al-Abboud, Tarek, Al-Mallah, Mouaz, Almousalli, Omar, Ananthasubramaniam, Karthikeyan, Kumar, Mohan Ashok, Askew, Jeffrey, Attanasio, Lea, Balmer-Swain, Mallory, Bayer, Richard R., Bernheim, Adam, Bhatti, Sabha, Bieging, Erik, Bloom, Stephen, Blue, Sean, Bluemke, David, Borges, Andressa, Branch, Kelley, Bravo, Paco, Brothers, Jessica, Budoff, Matthew, Bullock-Palmer, Renée, Burandt, Angela, Burke, Floyd W., Bush, Kelvin, Candela, Candace, Capasso, Elizabeth, 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George Kinzfogl, Kircher, Jacqueline, Kirkbride, Rachael, Kontos, Michael, Kottam, Anupama, Krepp, Joseph, Layer, Jay, Lee, Steven H., Leppo, Jeffrey, Lesser, John, Leung, Steve, Lewin, Howard, Litmanovich, Diana, Liu, Yiyan, Magurany, Kathleen, Markowitz, Jeremy, Marn, Amanda, Matis, Stephen E., Mckenna, Michael, Mcrae, Tony, Mendoza, Fernando, Merhige, Michael, Min, David, Moffitt, Chanan, Moncher, Karen, Moore, Warren, Morayati, Shamil, Morris, Michael, Mossa-Basha, Mahmud, Mrsic, Zorana, Murthy, Venkatesh, Nagpal, Prashant, Napier, Kyle, Nelson, Katarina, Nijjar, Prabhjot, Osman, Medhat, Passen, Edward, Patel, Amit, Patil, Pravin, Paul, Ryan, Phillips, Lawrence, Polsani, Venkateshwar, Poludasu, Rajaram, Pomerantz, Brian, Porter, Thomas, Prentice, Ryan, Pursnani, Amit, Rabbat, Mark, Ramamurti, Suresh, Rich, Florence, Luna, Hiram Rivera, Robinson, Austin, Robles, Kim, Rodríguez, Cesar, Rorie, Mark, Rumberger, John, Russell, Raymond, Sabra, Philip, Sadler, Diego, Schemmer, Mary, Schoepf, U. Joseph, Shah, Samir, Shah, Nishant, Shanbhag, Sujata, Sharma, Gaurav, Shayani, Steven, Shirani, Jamshid, Shivaram, Pushpa, Sigman, Steven, Simon, Mitch, Slim, Ahmad, Smith, David, Smith, Alexandra, Soman, Prem, Sood, Aditya, Srichai-Parsia, Monvadi Barbara, Streeter, James, T, Albert, Tawakol, Ahmed, Thomas, Dustin, Thompson, Randall, Torbet, Tara, Trinidad, Desiree, Ullery, Shawn, Unzek, Samuel, Uretsky, Seth, Vallurupalli, Srikanth, Verma, Vikas, Waller, Alfonso, Wang, Ellen, Ward, Parker, Weissman, Gaby, Wesbey, George, White, Kelly, Wolinsky, David, Yost, Sandra, Zgaljardic, Michael, Alonso, Omar, Beretta, Mario, Ferrando, Rodolfo, Kapitan, Miguel, Mut, Fernando, Djuraev, Omoa, Rozikhodjaeva, Gulnora, Le Ngoc, Ha, Mai, Son Hong, Nguyen, Xuan Canh, Hirschfeld, Cole B., Shaw, Leslee J., Williams, Michelle C., Lahey, Ryan, Villines, Todd C., Dorbala, Sharmila, Choi, Andrew D., Shah, Nishant R., Bluemke, David A., Berman, Daniel S., Blankstein, Ron, Ferencik, Maro, Narula, Jagat, Winchester, David, Malkovskiy, Eli, Goebel, Benjamin, Randazzo, Michael J., Lopez-Mattei, Juan, Parwani, Purvi, Vitola, Joao V., Cerci, Rodrigo J., Better, Nathan, Raggi, Paolo, Lu, Bin, Sergienko, Vladimir, Sinitsyn, Valentin, Kudo, Takashi, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Cohen, Yosef A., Pascual, Thomas N. B., Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, Einstein, Andrew J., Cerci, Rodrigo, Hinterleitner, Gerd, Lu, Yao, Morozova, Olga, Xu, Zhuoran, Cohen, Yosef, Randazzo, Michael, Choi, Andrew, Nasery, Mohammad Nawaz, Goda, Artan, Shirka, Ervina, Benlabgaa, Rabie, Bouyoucef, Salah, Medjahedi, Abdelkader, Nailli, Qai, Agolti, Mariela, Aguero, Roberto Nicola, Alak, Maria del Carmen, Alberguina, Lucia Graciela, Arroñada, Guillermo, Astesiano, Andrea, Astesiano, Alfredo, Norton, Carolina Ba, Benteo, Pablo, Blanco, Juan, Bonelli, Juan Manuel, Bustos, Jose Javier, Cabrejas, Raul, Cachero, Jorge, Campisi, Roxana, Canderoli, Alejandro, Carames, Silvia, Carrascosa, Patrícia, Castro, Ricardo, Cendoya, Oscar, Cognigni, Luciano Martin, Collaud, Carlo, Cortes, Claudia, Courtis, Javier, Cragnolino, Daniel, Daicz, Mariana, De La Vega, Alejandro, De Maria, Silvia Teresa, Del Riego, Horacio, Dettori, Fernando, Deviggiano, Alejandro, Dragonetti, Laura, Embon, Mario, Enriquez, Ruben Emilio, Ensinas, Jorge, Faccio, Fernando, Facello, Adolfo, Garofalo, Diego, Geronazzo, Ricardo, Gonza, Natalia, Gutierrez, Luca, Guzzo, Miguel Angel, Hasbani, Victor, Huerin, Melina, Jäger, Victor, Lewkowicz, Julio Manuel, Nieves A López De Munaín, Maria, Lotti, Jose Maria, Marquez, Alejandra, Masoli, Osvaldo, Masoli, Osvaldo Horacio, Mastrovito, Edgardo, Mayoraz, Matia, Melado, Graciela Eva, Mele, Anibal, Merani, Maria Fernanda, Meretta, Alejandro Horacio, Molteni, Susana, Montecinos, Marco, Noguera, Eduardo, Novoa, Carlo, Sueldo, Claudio Pereyra, Ascani, Sebastian Perez, Pollono, Pablo, Pujol, Maria Paula, Radzinschi, Alejandro, Raimondi, Gustavo, Redruello, Marcela, Rodríguez, Marina, Rodríguez, Matía, Romero, Romina Lorena, Acuña, Arturo Romero, Rovaletti, Federico, San Miguel, Luca, Solari, Lucrecia, Strada, Bruno, Traverso, Sonia, Traverzo, Sonia Simona, Espeche, Maria del Huerto Velazquez, Weihmuller, Juan Sebastian, Wolcan, Juan, Zeffiro, Susana, Sakanyan, Mari, Beuzeville, Scott, Boktor, Raef, Butler, Patrick, Calcott, Jennifer, Carr, Loretta, Chan, Virgil, Chao, Charle, Chong, Woon, Dobson, Mark, Downie, D'Arne, Dwivedi, Girish, Elison, Barry, Engela, Jean, Francis, Roslyn, Gaikwad, Anand, Basavaraj, Ashok Gangasandra, Goodwin, Bruce, Greenough, Robert, Hamilton-Craig, Christian, Hsieh, Victar, Joshi, Subodh, Lederer, Karin, Lee, Kenneth, Lee, Joseph, Magnussen, John, Mai, Nghi, Mander, Gordon, Murton, Fiona, Nandurkar, Dee, Neill, Johanne, O'Rourke, Edward, O'Sullivan, Patricia, Pandos, George, Pathmaraj, Kunthi, Pitman, Alexander, Poulter, Rohan, Premaratne, Manuja, Prior, David, Ridley, Lloyd, Rutherford, Natalie, Salehi, Hamid, Saunders, Connor, Scarlett, Luke, Seneviratne, Sujith, Shetty, Deepa, Shrestha, Ganesh, Shulman, Jonathan, Solanki, Vijay, Stanton, Tony, Stuart, Murch, Stubbs, Michael, Swainson, Ian, Taubman, Kim, Taylor, Andrew, Thomas, Paul, Unger, Steven, Upton, Anthony, Vamadevan, Shankar, Van Gaal, William, Verjans, Johan, Voutnis, Demetriu, Wayne, Victor, Wilson, Peter, Wong, David, Wong, Kirby, Younger, John, Feuchtner, Gudrun, Mirzaei, Siroo, Weiss, Konrad, Maroz-Vadalazhskaya, Natallia, Gheysens, Olivier, Homans, Filip, Moreno-Reyes, Rodrigo, Pasquet, Agnè, Roelants, Veronique, Van De Heyning, Caroline M., Ríos, Raúl Araujo, Soldat-Stankovic, Valentina, Stankovic, Sinisa, Albernaz Siqueira, Maria Helena, Almeida, Augusto, Alves Togni, Paulo Henrique, Andrade, Jose Henrique, Andrade, Luciana, Anselmi, Carlo, Araújo, Roberta, Azevedo, Guilherme, Bezerra, Sabbrina, Biancardi, Rodrigo, Grossman, Gabriel Blacher, Brandão, Simone, Pianta, Diego Bromfman, Carreira, Lara, Castro, Bruno, Chang, Tien, Cunali, Fernando, Cury, Roberto, Dantas, Roberto, de Amorim Fernandes, Fernando, De Lorenzo, Andrea, De Macedo Filho, Robson, Erthal, Fernanda, Fernandes, Fabio, Fernandes, Juliano, De Souza, Thiago Ferreira, Alves, Wilson Furlan, Ghini, Bruno, Goncalves, Luiz, Gottlieb, Ilan, Hadlich, Marcelo, Kameoka, Viníciu, Lima, Ronaldo, Lima, Adna, Lopes, Rafael Willain, Machado e Silva, Ricardo, Magalhães, Tiago, Silva, Fábio Martin, Mastrocola, Luiz Eduardo, Medeiros, Fábio, Meneghetti, José Claudio, Naue, Vania, Naves, Danilo, Nolasco, Roberto, Nomura, Cesar, Oliveira, Joao Bruno, Paixao, Eduardo, De Carvalho, Filipe Penna, Pinto, Ibraim, Possetti, Priscila, Quinta, Mayra, Nogueira Ramos, Rodrigo Rizzo, Rocha, Ricardo, Rodrigues, Alfredo, Rodrigues, Carlo, Romantini, Leila, Sanches, Adelina, Santana, Sara, Sara da Silva, Leonardo, Schvartzman, Paulo, Matushita, Cristina Sebastião, Senra, Tiago, Shiozaki, Afonso, Menezes de Siqueira, Maria Eduarda, Siqueira, Cristiano, Smanio, Paola, Soares, Carlos Eduardo, Junior, José Soare, Bittencourt, Marcio Sommer, Spiro, Bernardo, Mesquita, Cláudio Tinoco, Torreao, Jorge, Torres, Rafael, Uellendahl, Marly, Monte, Guilherme Urpia, Veríssimo, Otávia, Cabeda, Estevan Vieira, Pedras, Felipe Villela, Waltrick, Roberto, Zapparoli, Marcello, Naseer, Hamid, Garcheva-Tsacheva, Marina, Kostadinova, Irena, Theng, Youdaline, Abikhzer, Gad, Barette, Rene, Chow, Benjamin, Dabreo, Dominique, Friedrich, Matthia, Garg, Ria, Hafez, Mohammed Nassoh, Johnson, Chri, Kiess, Marla, Leipsic, Jonathon, Leung, Eugene, Miller, Robert, Oikonomou, Anastasia, Probst, Stephan, Roifman, Idan, Small, Gary, Tandon, Vika, Trivedi, Adwait, White, Jame, Zukotynski, Katherine, Canessa, Jose, Muñoz, Gabriel Castro, Concha, Carmen, Hidalgo, Pablo, Lovera, Cesar, Massardo, Teresa, Vargas, Luis Salazar, Abad, Pedro, Arturo, Harold, Ayala, Sandra, Benitez, Lui, Cadena, Alberto, Caicedo, Carlo, Moncayo, Antonio Calderón, Gomez, Sharon, Gutierrez Villamil, Claudia T., Jaimes, Claudia, Londoño, Juan, Londoño Blair, Juan Lui, Pabon, Luz, Pineda, Mauricio, Rojas, Juan Carlo, Ruiz, Diego, Escobar, Manuel Valencia, Vasquez, Andre, Vergel, Damiana, Zuluaga, Alejandro, Gamboa, Isabel Berrocal, Castro, Gabriel, González, Ulise, Baric, Ana, Batinic, Tonci, Franceschi, Maja, Paar, Maja Hrabak, Jukic, Mladen, Medakovic, Petar, Persic, Viktor, Prpic, Marina, Punda, Ante, Batista, Juan Felipe, Gómez Lauchy, Juan Manuel, Gutierrez, Yamile Marco, Menéndez, Rayner, Peix, Amalia, Rochela, Lui, Panagidis, Christoforo, Petrou, Ioanni, Engelmann, Vaclav, Kaminek, Milan, Kincl, Vladimír, Lang, Otto, Simanek, Milan, Abdulla, Jawdat, Bøttcher, Morten, Christensen, Mette, Gormsen, Lars Christian, Hasbak, Philip, Hess, Søren, Holdgaard, Paw, Johansen, Allan, Kyhl, Kasper, Norgaard, Bjarne Linde, Øvrehus, Kristian Altern, Rønnow Sand, Niels Peter, Steffensen, Rolf, Thomassen, Ander, Zerahn, Bo, Perez, Alfredo, Escorza Velez, Giovanni Alejandro, Velez, Mayra Sanchez, Abdel Aziz, Islam Shawky, Abougabal, Mahasen, Ahmed, Taghreed, Allam, Adel, Asfour, Ahmed, Hassan, Mona, Hassan, Alia, Ibrahim, Ahmed, Kaffas, Sameh, Kandeel, Ahmed, Ali, Mohamed Mandour, Mansy, Ahmad, Maurice, Hany, Nabil, Sherif, Shaaban, Mahmoud, Flores, Ana Camila, Poksi, Anne, Knuuti, Juhani, Kokkonen, Velipekka, Larikka, Martti, Uusitalo, Valtteri, Bailly, Matthieu, Burg, Samuel, Deux, Jean-Françoi, Habouzit, Vincent, Hyafil, Fabien, Lairez, Olivier, Proffit, Franck, Regaieg, Hamza, Sarda-Mantel, Laure, Tacher, Vania, Schneider, Roman P., Ayetey, Harold, Angelidis, George, Archontaki, Aikaterini, Chatziioannou, Sofia, Datseris, Ioanni, Fragkaki, Christina, Georgoulias, Panagioti, Koukouraki, Sophia, Koutelou, Maria, Kyrozi, Eleni, Repasos, Evangelo, Stavrou, Petro, Valsamaki, Pipitsa, Gonzalez, Carla, Gutierrez, Goleat, Maldonado, Alejandro, Buga, Klara, Garai, Ildiko, Schmidt, Erzsébet, Szilveszter, Balint, Várady, Edit, Banthia, Nilesh, Bhagat, Jinendra Kumar, Bhargava, Rishi, Bhat, Vivek, Bhatia, Mona, Choudhury, Partha, Chowdekar, Vijay Sai, Irodi, Aparna, Jain, Shashank, Joseph, Elizabeth, Kumar, Sukriti, Girijanandan Mahapatra, Prof Dr, Mitra, Deepanjan, Mittal, Bhagwant Rai, Ozair, Ahmad, Patel, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Saxena, Sudhir, Sengupta, Shantanu, Singh, Santosh, Singh, Bhanupriya, Sood, Ashwani, Verma, Atul, Affandi, Erwin, Alam, Edison, Padma, Savenadia, Gunawan, Gani, Hapkido, Habusari, Hidayat, Basuki, Huda, Aulia, Mukti, Anggoro Praja, Prawiro, Djoko, Soeriadi, Erwin Affandi, Syawaluddin, Hilman, Albadr, Amjed, Assadi, Majid, Emami, Farshad, Houshmand, Golnaz, Maleki, Majid, Rostami, Maryam Tajik, Zakavi, Seyed Rasoul, Zaid, Eed Abu, Agranovich, Svetlana, Arnson, Yoav, Bar-Shalom, Rachel, Frenkel, Alex, Knafo, Galit, Lugassi, Rachel, Maor Moalem, Israel Shlomo, Mor, Maya, Muskal, Noam, Ranser, Sara, Shalev, Aryeh, Albano, Domenico, Alongi, Pierpaolo, Arnone, Gaspare, Bagatin, Elisa, Baldari, Sergio, Bauckneht, Matteo, Bertelli, Paolo, Bianco, Francesco, Bonfiglioli, Rachele, Boni, Roberto, Bruno, Andrea, Bruno, Isabella, Busnardo, Elena, Califaretti, Elena, Camoni, Luca, Carnevale, Aldo, Casoni, Roberta, Cavallo, Armando Ugo, Cavenaghi, Giorgio, Chierichetti, Franca, Chiocchi, Marcello, Cittanti, Corrado, Colletta, Mauro, Conti, Umberto, Cossu, Alberto, Cuocolo, Alberto, Cuzzocrea, Marco, De Rimini, Maria Luisa, De Vincentis, Giuseppe, Del Giudice, Eleonora, Del Torto, Alberico, Della Tommasina, Veronica, Durmo, Rexhep, Erba, Paola Anna, Evangelista, Laura, Faletti, Riccardo, Faragasso, Evelina, Farsad, Mohsen, Ferro, Paola, Florimonte, Luigia, Frantellizzi, Viviana, Fringuelli, Fabio Massimo, Gatti, Marco, Gaudiano, Angela, Gimelli, Alessia, Giubbini, Raffaele, Giuffrida, Francesca, Ialuna, Salvatore, Laudicella, Riccardo, Leccisotti, Lucia, Leva, Lucia, Liga, Riccardo, Liguori, Carlo, Longo, Giampiero, Maffione, Margherita, Mancini, Maria Elisabetta, Marcassa, Claudio, Milan, Elisa, Nardi, Barbara, Pacella, Sara, Pepe, Giovanna, Pontone, Gianluca, Pulizzi, Sabina, Quartuccio, Natale, Rampin, Lucia, Ricci, Fabrizio, Rossini, Pierluigi, Rubini, Giuseppe, Russo, Vincenzo, Sacchetti, Gian Mauro, Sambuceti, Gianmario, Scarano, Massimo, Sciagrà, Roberto, Sperandio, Massimiliano, Stefanelli, Antonella, Ventroni, Guido, Zoboli, Stefania, Baugh, Dainia, Chambers, Duane, Madu, Ernest, Nunura, Felix, Asano, Hiroshi, Chimura, Chimura Misato, Fujimoto, Shinichiro, Fujisue, Koichiro, Fukunaga, Tomohisa, Fukushima, Yoshimitsu, Fukuyama, Kae, Hashimoto, Jun, Ichikawa, Yasutaka, Iguchi, Nobuo, Imai, Masamichi, Inaki, Anri, Ishimura, Hayato, Isobe, Satoshi, Kadokami, Toshiaki, Kato, Takao, Kumita, Shinichiro, Maruno, Hirotaka, Mataki, Hiroyuki, Miyagawa, Masao, Morimoto, Ryota, Moroi, Masao, Nagamachi, Shigeki, Nakajima, Kenichi, Nakata, Tomoaki, Nakazato, Ryo, Nanasato, Mamoru, Naya, Masanao, Norikane, Takashi, Ohta, Yasutoshi, Okayama, Satoshi, Okizaki, Atsutaka, Otomi, Yoichi, Otsuka, Hideki, Saito, Masaki, Sakata, Sakata Yasushi, Sarai, Masayoshi, Sato, Daisuke, Shiraishi, Shinya, Suwa, Yoshinobu, Takanami, Kentaro, Takehana, Kazuya, Taki, Junichi, Tamaki, Nagara, Taniguchi, Yasuyo, Teragawa, Hiroki, Tomizawa, Nobuo, Tsujita, Kenichi, Umeji, Kyoko, Wakabayashi, Yasushi, Yamada, Shinichiro, Yamazaki, Shinya, Yoneyama, Tatsuya, Rawashdeh, Mohammad, Batyrkhanov, Daultai, Dautov, Tairkhan, Makhdomi, Khalid, Ombati, Kevin, Alkandari, Faridah, Garashi, Masoud, Coie, Tchoyoson Lim, Rajvong, Sonexay, Kalinin, Artem, Kalnina, Marika, Haidar, Mohamad, Komiagiene, Renata, Kviecinskiene, Giedre, Mataciunas, Mindauga, Vajauskas, Donata, Picard, Christian, Karim, Noor Khairiah A., Reichmuth, Luise, Samuel, Anthony, Allarakha, Mohammad Aaftaab, Naojee, Ambedhkar Shantaram, Alexanderson-Rosas, Erick, Barragan, Erika, González-Montecinos, Alejandro Becerril, Cabada, Manuel, Rodriguez, Daniel Calderon, Carvajal-Juarez, Isabel, Cortés, Violeta, Cortés, Filiberto, De La Peña, Erasmo, Gama-Moreno, Manlio, González, Lui, Ramírez, Nelsy Gonzalez, Jiménez-Santos, Moisé, Matos, Lui, Monroy, Edgar, Morelos, Martha, Ornelas, Mario, Ortga Ramirez, Jose Alberto, Preciado-Anaya, André, Preciado-Gutiérrez, Óscar Ulise, Barragan, Adriana Puente, Rosales Uvera, Sandra Graciela, Sandoval, Sigelinda, Tomas, Miguel Santaularia, Sierra-Galan, Lilia M., Siu, Silvia, Vallejo, Enrique, Valles, Mario, Faraggi, Marc, Sereegotov, Erdenechimeg, Ilic, Srdja, Ben-Rais, Nozha, Alaoui, Nadia Ismaili, Taleb, Sara, Myo, Khin Pa, Thu, Phyo Si, Ghimire, Ram Kumar, Rajbanshi, Bijoy, Barneveld, Peter, Glaudemans, Andor, Habets, Jesse, Koopmans, Klaas Pieter, Manders, Jeroen, Pool, Stefan, Scholte, Arthur, Scholtens, Asbjørn, Slart, Riemer, Thimister, Paul, Van Asperen, Erik-Jan, Veltman, Niel, Verschure, Derk, Wagenaar, Nil, Edmond, John, Ellis, Chri, Johnson, Kerryanne, Keenan, Ro, Hua, Shaw, Occleshaw, Christopher, Sasse, Alexander, To, Andrew, Van Pelt, Niel, Young, Calum, Cuadra, Teresa, Roque Vanegas, Hector Bladimir, Soli, Idrissa Adamou, Issoufou, Djibrillou Moussa, Ayodele, Tolulope, Madu, Chibuzo, Onimode, Yetunde, Efros-Monsen, Elen, Forsdahl, Signe Helene, Hildre Dimmen, Jenni-Mari, Jørgensen, Arve, Krohn, Isabel, Løvhaugen, Pål, Bråten, Anders Tjellaug, Al Dhuhli, Humoud, Al Kindi, Faiza, Al-Bulushi, Naeema, Jawa, Zabah, Tag, Naima, Afzal, Muhammad Shehzad, Fatima, Shazia, Younis, Muhammad Numair, Riaz, Musab, Saadullah, Mohammad, Herrera, Yariela, Lenturut-Katal, Dora, Vázquez, Manuel Castillo, Ortellado, José, Akhter, Afroza, Cao, Dianbo, Cheung, Stephen, Dai, Xu, Gong, Lianggeng, Han, Dan, Hou, Yang, Li, Caiying, Li, Tao, Li, Dong, Li, Sijin, Liu, Jinkang, Liu, Hui, Ng, Ming Yen, Sun, Kai, Tang, Gongshun, Wang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wu, Jiang, Wu, Zhifang, Xia, Liming, Xiao, Jiangxi, Xu, Lei, Yang, Youyou, Yin, Wu, Yu, Jianqun, Yuan, Li, Zhang, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhu, Li, Alfaro, Ana, Abrihan, Paz, Barroso, Asela, Cruz, Eric, Gomez, Marie Rhiamar, Magboo, Vincent Peter, Medina, John Michael, Obaldo, Jerry, Pastrana, Davidson, Pawhay, Christian Michael, Quinon, Alvin, Tang, Jeanelle Margareth, Tecson, Bettina, Uson, Kristine Joy, Uy, Mila, Kostkiewicz, Magdalena, Kunikowska, Jolanta, Bettencourt, Nuno, Cantinho, Guilhermina, Ferreira, Antonio, Syed, Ghulam, Arnous, Samer, Atyani, Said, Byrne, Angela, Gleeson, Tadhg, Kerins, David, Meehan, Conor, Murphy, David, Murphy, Mark, Murray, John, O'Brien, Julie, Bang, Ji-In, Bom, Henry, Cho, Sang-Geon, Hong, Chae Moon, Jang, Su Jin, Jeong, Yong Hyu, Kang, Won Jun, Kim, Ji-Young, Lee, Jaetae, Namgung, Chang Kyeong, So, Young, Won, Kyoung Sook, Majstorov, Venjamin, Vavlukis, Marija, Salobir, Barbara Gužic, Štalc, Monika, Benedek, Theodora, Benedek, Imre, Mititelu, Raluca, Stan, Claudiu Adrian, Ansheles, Alexey, Dariy, Olga, Drozdova, Olga, Gagarina, Nina, Gulyaev, Vsevolod Milyevich, Itskovich, Irina, Karalkin, Anatoly, Kokov, Alexander, Migunova, Ekaterina, Pospelov, Viktor, Ryzhkova, Daria, Saifullina, Guzaliya, Sazonova, Svetlana, Shurupova, Irina, Trifonova, Tatjana, Ussov, Wladimir Yurievich, Vakhromeeva, Margarita, Valiullina, Nailya, Zavadovsky, Konstantin, Zhuravlev, Kirill, Alasnag, Mirvat, Okarvi, Subhani, Saranovic, Dragana Sobic, Keng, Felix, Jason See, Jia Hao, Sekar, Ramkumar, Yew, Min Sen, Vondrak, Andrej, Bejai, Shereen, Bennie, George, Bester, Ria, Engelbrecht, Gerrit, Evbuomwan, Osayande, Gongxeka, Harlem, Vuuren, Magritha Jv, Kaplan, Mitchell, Khushica, Purbhoo, Lakhi, Hoosen, Louw, Lizette, Malan, Nico, Milos, Katarina, Modiselle, Moshe, More, Stuart, Naidoo, Mathava, Scholtz, Leonie, Vangu, Mboyo, Aguadé-Bruix, Santiago, Blanco, Isabel, Cabrera, Antonio, Camarero, Alicia, Casáns-Tormo, Irene, Cuellar-Calabria, Hug, Flotats, Albert, Fuentes Cañamero, Maria Eugenia, García, María Elia, Jimenez-Heffernan, Amelia, Leta, Rubén, Diaz, Javier Lopez, Lumbreras, Lui, Marquez-Cabeza, Juan Javier, Martin, Francisco, Martinez de Alegria, Anxo, Medina, Francisco, Canal, Maria Pedrera, Peiro, Virginia, Pubul-Nuñez, Virginia, Rayo Madrid, Juan Ignacio, Rey, Cristina Rodríguez, Perez, Ricardo Ruano, Ruiz, Joaquín, Hernández, Gertrudis Sabatel, Sevilla, Ana, Zeidán, Nahla, Nanayakkara, Damayanthi, Udugama, Chandraguptha, Simonsson, Magnu, Alkadhi, Hatem, Buechel, Ronny Ralf, Burger, Peter, Ceriani, Luca, De Boeck, Bart, Gräni, Christoph, Juillet de Saint Lager Lucas, Alix, Kamani, Christel H., Kawel-Boehm, Nadine, Manka, Robert, Prior, John O., Rominger, Axel, Vallée, Jean-Paul, Khiewvan, Benjapa, Premprabha, Teerapon, Thientunyakit, Tanyaluck, Sellem, Ali, Kir, Kemal Metin, Sayman, Haluk, Sebikali, Mugisha Juliu, Muyinda, Zerida, Kmetyuk, Yaroslav, Korol, Pavlo, Mykhalchenko, Olena, Pliatsek, Volodymyr, Satyr, Maryna, Albalooshi, Batool, Ahmed Hassan, Mohamed Ismail, Anderson, Jill, Bedi, Punit, Biggans, Thoma, Bularga, Anda, Bull, Russell, Burgul, Rajesh, Carpenter, John-Paul, Coles, Duncan, Cusack, David, Deshpande, Aparna, Dougan, John, Fairbairn, Timothy, Farrugia, Alexia, Gopalan, Deepa, Gummow, Alistair, Ramkumar, Prasad Guntur, Hamilton, Mark, Harbinson, Mark, Hartley, Thoma, Hudson, Benjamin, Joshi, Nikhil, Kay, Michael, Kelion, Andrew, Khokhar, Azhar, Kitt, Jamie, Lee, Ken, Low, Chen, Mak, Sze Mun, Marousa, Ntouskou, Martin, Jon, Mcalindon, Elisa, Menezes, Leon, Morgan-Hughes, Gareth, Moss, Alastair, Murray, Anthony, Nicol, Edward, Patel, Dilip, Peebles, Charle, Pugliese, Francesca, Luis Rodrigues, Jonathan Carl, Rofe, Christopher, Sabharwal, Nikant, Schofield, Rebecca, Semple, Thoma, Sharma, Naveen, Strouhal, Peter, Subedi, Deepak, Topping, William, Tweed, Katharine, Weir-Mccall, Jonathan, Abbara, Suhny, Abbasi, Taimur, Abbott, Brian, Abohashem, Shady, Abramson, Sandra, Al-Abboud, Tarek, Al-Mallah, Mouaz, Almousalli, Omar, Ananthasubramaniam, Karthikeyan, Kumar, Mohan Ashok, Askew, Jeffrey, Attanasio, Lea, Balmer-Swain, Mallory, Bayer, Richard R., Bernheim, Adam, Bhatti, Sabha, Bieging, Erik, Bloom, Stephen, Blue, Sean, Bluemke, David, Borges, Andressa, Branch, Kelley, Bravo, Paco, Brothers, Jessica, Budoff, Matthew, Bullock-Palmer, Renée, Burandt, Angela, Burke, Floyd W., Bush, Kelvin, Candela, Candace, Capasso, Elizabeth, Cavalcante, Joao, Chang, Donald, Chatterjee, Saurav, Chatzizisis, Yianni, Cheezum, Michael, Chen, Tiffany, Chen, Jennifer, Chen, Marcu, Clarcq, Jame, Cordero, Ayreen, Crim, Matthew, Danciu, Sorin, Decter, Bruce, Dhruva, Nimish, Doherty, Neil, Doukky, Rami, Dunbar, Anjori, Duvall, William, Edwards, Rachael, Esquitin, Kerry, Farah, Husam, Fentanes, Emilio, Fisher, Daniel, Fitzpatrick, Daniel, Foster, Cameron, Fuisz, Tony, Gannon, Michael, Gastner, Lori, Gerson, Myron, Ghoshhajra, Brian, Goldberg, Alan, Goldner, Brian, Gonzalez, Jorge, Gore, Rosco, Gracia-López, Sandra, Hage, Fadi, Haider, Agha, Haider, Sofia, Hamirani, Yasmin, Hassen, Karen, Hatfield, Mallory, Hawkins, Carolyn, Hawthorne, Katie, Heath, Nichola, Hendel, Robert, Hernandez, Phillip, Hill, Gregory, Horgan, Stephen, Huffman, Jeff, Hurwitz, Lynne, Iskandrian, Ami, Janardhanan, Rajesh, Jellis, Christine, Jerome, Scott, Kalra, Dinesh, Kaviratne, Summanther, Kay, Fernando, Kelly, Faith, Khalique, Omar, Kinkhabwala, Mona, Iii, George Kinzfogl, Kircher, Jacqueline, Kirkbride, Rachael, Kontos, Michael, Kottam, Anupama, Krepp, Joseph, Layer, Jay, Lee, Steven H., Leppo, Jeffrey, Lesser, John, Leung, Steve, Lewin, Howard, Litmanovich, Diana, Liu, Yiyan, Magurany, Kathleen, Markowitz, Jeremy, Marn, Amanda, Matis, Stephen E., Mckenna, Michael, Mcrae, Tony, Mendoza, Fernando, Merhige, Michael, Min, David, Moffitt, Chanan, Moncher, Karen, Moore, Warren, Morayati, Shamil, Morris, Michael, Mossa-Basha, Mahmud, Mrsic, Zorana, Murthy, Venkatesh, Nagpal, Prashant, Napier, Kyle, Nelson, Katarina, Nijjar, Prabhjot, Osman, Medhat, Passen, Edward, Patel, Amit, Patil, Pravin, Paul, Ryan, Phillips, Lawrence, Polsani, Venkateshwar, Poludasu, Rajaram, Pomerantz, Brian, Porter, Thoma, Prentice, Ryan, Pursnani, Amit, Rabbat, Mark, Ramamurti, Suresh, Rich, Florence, Luna, Hiram Rivera, Robinson, Austin, Robles, Kim, Rodríguez, Cesar, Rorie, Mark, Rumberger, John, Russell, Raymond, Sabra, Philip, Sadler, Diego, Schemmer, Mary, Schoepf, U. Joseph, Shah, Samir, Shah, Nishant, Shanbhag, Sujata, Sharma, Gaurav, Shayani, Steven, Shirani, Jamshid, Shivaram, Pushpa, Sigman, Steven, Simon, Mitch, Slim, Ahmad, Smith, David, Smith, Alexandra, Soman, Prem, Sood, Aditya, Srichai-Parsia, Monvadi Barbara, Streeter, Jame, T, Albert, Tawakol, Ahmed, Thomas, Dustin, Thompson, Randall, Torbet, Tara, Trinidad, Desiree, Ullery, Shawn, Unzek, Samuel, Uretsky, Seth, Vallurupalli, Srikanth, Verma, Vika, Waller, Alfonso, Wang, Ellen, Ward, Parker, Weissman, Gaby, Wesbey, George, White, Kelly, Wolinsky, David, Yost, Sandra, Zgaljardic, Michael, Alonso, Omar, Beretta, Mario, Ferrando, Rodolfo, Kapitan, Miguel, Mut, Fernando, Djuraev, Omoa, Rozikhodjaeva, Gulnora, Le Ngoc, Ha, Mai, Son Hong, Nguyen, Xuan Canh, Hirschfeld, C, Shaw, L, Williams, M, Lahey, R, Villines, T, Dorbala, S, Choi, A, Shah, N, Bluemke, D, Berman, D, Blankstein, R, Ferencik, M, Narula, J, Winchester, D, Malkovskiy, E, Goebel, B, Randazzo, M, Lopez-Mattei, J, Parwani, P, Vitola, J, Cerci, R, Better, N, Raggi, P, Lu, B, Sergienko, V, Sinitsyn, V, Kudo, T, Nørgaard, B, Maurovich-Horvat, P, Cohen, Y, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Einstein, A, and Erba, P
Subjects: Aging, Coronavirus disease 2019 (COVID-19), Clinical Sciences, coronavirus, Disease, 030204 cardiovascular system & hematology, Cardiorespiratory Medicine and Haematology, Cardiovascular, 030218 nuclear medicine & medical imaging, NO, 03 medical and health sciences, 0302 clinical medicine, COVID-19 Testing, Cardiovascular procedures, Predictive Value of Tests, cardiovascular disease, Clinical Research, Environmental health, INCAPS-COVID Investigators Group, Pandemic, Volume reduction, Medicine, Humans, Radiology, Nuclear Medicine and imaging, cardiovascular imaging, diagnostic cardiovascular procedure, Pandemics, business.industry, SARS-CoV-2, Prevention, COVID-19, Health Services, United States/epidemiology, United States, Invasive coronary angiography, coronaviru, Heart Disease, Good Health and Well Being, MYOCARDIAL-INFARCTION, Cardiovascular System & Hematology, Predictive value of tests, HOSPITAL ADMISSIONS, Cardiology and Cardiovascular Medicine, Early phase, business
Abstract: Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-U.S. institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection.
Published: 2021

23. Submodularity and local search approaches for maximum capture problems under generalized extreme value models

Author: Tien Mai, Thuy Anh Ta, and Tien Thanh Dam
Subjects: Mathematical optimization, Discrete choice, Information Systems and Management, General Computer Science, business.industry, Computer science, Context (language use), Management Science and Operations Research, Industrial and Manufacturing Engineering, Facility location problem, Submodular set function, Optimization and Control (math.OC), Mixed logit, Modeling and Simulation, FOS: Mathematics, Generalized extreme value distribution, Local search (optimization), business, Greedy algorithm, Mathematics - Optimization and Control
Abstract: We study the maximum capture problem in facility location under random utility models, i.e., the problem of seeking to locate new facilities in a competitive market such that the captured user demand is maximized, assuming that each customer chooses among all available facilities according to a random utility maximization model. We employ the generalized extreme value (GEV) family of discrete choice models and show that the objective function in this context is monotonic and submodular. This finding implies that a simple greedy heuristic can always guarantee a ( 1 − 1 / e ) approximation solution. We further develop a new algorithm combining a greedy heuristic, a gradient-based local search, and an exchanging procedure to efficiently solve the problem. We conduct experiments using instances of different sizes and under different discrete choice models, and we show that our approach significantly outperforms prior approaches in terms of both returned objective value and CPU time. Our algorithm and theoretical findings can be applied to the maximum capture problems under various random utility models in the literature, including the popular multinomial logit, nested logit, cross nested logit, and mixed logit models.
Published: 2022

24. Twisting and Braiding Fluid-Driven Soft Artificial Muscle Fibers for Robotic Applications

Author: Mai Thanh Thai, Nigel H. Lovell, Phuoc Thien Phan, Thanh Nho Do, Trung Thien Hoang, and Harrison Low
Subjects: business.industry, Computer science, Muscle Fibers, Skeletal, Biophysics, Soft robotics, Robotics, Robotic Surgical Procedures, Artificial Intelligence, Control and Systems Engineering, Humans, Artificial muscle, business, Wearable technology, Mechanical Phenomena, Biomedical engineering
Abstract: Research on soft artificial muscles (SAMs) is rapidly growing, both in developing new actuation ideas and improving existing structures with multifunctionality. The human body has more than 600 muscles that drive organs and joints to achieve desired functions. Inspired by the human muscles, this article presents a new type of SAM fiber formed from twisting and braiding soft hydraulic filament artificial muscles with high aspect ratio, high strain, and high energy efficiency. We systematically investigated the relationship between input pressure and output elongation as well as contraction force of the new muscles using different configurations in terms of an array of single and multiple muscles arranged in nontwisting (or straight), twisting, and braiding variants. Experimental results revealed that the twisting and braiding configurations greatly enhanced the muscle elongation and generated force compared with their nontwisting/braiding counterparts. To demonstrate the new muscles' usability, we implemented several muscle variants to bidirectionally manipulate 3D-printed human fingers and elbow, mimicking the human upper limb with a full range of motion. We also created a bioinspired growing soft tubular muscle that could simultaneously exert longitudinal and radial expansion upon pressurization, similar to that of auxetic metamaterial structures. The new growing soft tubular muscles were experimentally validated and the results showed that they could be potentially implemented in several emerging applications, including smart compression garments, stent-like supporting devices, and tubular grippers for medical use.
Published: 2022

25. An Automatic Attribute-Based Access Control Policy Extraction From Access Logs

Author: Mai Abdelhakim, Maryam Aldairi, James Joshi, and Leila Karimi
Subjects: 021110 strategic, defence & security studies, Database, Process (engineering), business.industry, Computer science, media_common.quotation_subject, 0211 other engineering and technologies, Information technology, Access control, Symmetric multiprocessor system, 02 engineering and technology, Attribute-based access control, computer.software_genre, Unsupervised learning, Quality (business), Pruning (decision trees), Electrical and Electronic Engineering, business, computer, media_common
Abstract: With the rapid advances in computing and information technologies, traditional access control models have become inadequate in terms of capturing fine-grained, and expressive security requirements of newly emerging applications. An attribute-based access control (ABAC) model provides a more flexible approach for addressing the authorization needs of complex and dynamic systems. While organizations are interested in employing newer authorization models, migrating to such models pose as a significant challenge. Many large-scale businesses need to grant authorization to their user populations that are potentially distributed across disparate and heterogeneous computing environments. Each of these computing environments may have its own access control model. The manual development of a single policy framework for an entire organization is tedious, costly, and error-prone. In this paper, we present a methodology for automatically learning ABAC policy rules from access logs of a system to simplify the policy development process. The proposed approach employs an unsupervised learning-based algorithm for detecting patterns in access logs and extracting ABAC authorization rules from these patterns. In addition, we present two policy improvement algorithms, including rule pruning and policy refinement algorithms to generate a higher quality mined policy. Finally, we implement a prototype of the proposed approach to demonstrate its feasibility.
Published: 2022

26. MW-GAN+ for Perceptual Quality Enhancement on Compressed Video

Author: Xin Deng, Liquan Shen, Yuhang Song, Jianyi Wang, and Mai Xu
Subjects: Computer science, business.industry, media_common.quotation_subject, Deep learning, Frame (networking), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Video quality, Wavelet packet decomposition, Wavelet, Media Technology, Code (cryptography), Computer vision, Quality (business), Quality of experience, Artificial intelligence, Electrical and Electronic Engineering, business, media_common
Abstract: The great success of deep learning has boosted the fast development of video quality enhancement. However, existing methods mainly focus on enhancing the objective quality of compressed video, and ignore their perceptual quality that plays a key role in determining quality of experience (QoE) of videos. In this paper, we aim at enhancing the perceptual quality of compressed video. Our main observation is that perceptual quality enhancement mostly relies on recovering the high-frequency details with fine textures. Accordingly, we propose a novel generative adversarial network (GAN) based on multi-level wavelet packet transform (WPT), which is called multi-level wavelet-based GAN+ (MW-GAN+), to exploit high-frequency details for enhancing the perceptual quality of compressed video. In MW-GAN+, we first propose a multi-level wavelet pixel-adaptive (MWP) module to extract temporal information across video frames, such that frame similarity can be utilized in recovering high-frequency details. Then, a wavelet reconstruction network, consisting of wavelet-dense residual blocks (WDRB), is developed to recover high-frequency details in a multi-level manner for enhanced frame reconstruction. Finally, we develop a 3D discriminator to encourage temporal coherence with a 3D-CNN based architecture. Experimental results demonstrate the superiority of our method over state-of-the-art methods in enhancing the perceptual quality of compressed video. Our code is available at https://github.com/IceClear/MW-GAN.
Published: 2022

27. MetaMixUp: Learning Adaptive Interpolation Policy of MixUp With Metalearning

Author: Fumin Shen, Dexiong Chen, Heng Tao Shen, Zhijun Mai, and Guosheng Hu
Subjects: Computer Networks and Communications, business.industry, Computer science, Overfitting, Machine learning, computer.software_genre, Regularization (mathematics), Metalearning, Computer Science Applications, Domain (software engineering), Set (abstract data type), Data set, Mixing (mathematics), Artificial Intelligence, Artificial intelligence, business, computer, Software, Interpolation
Abstract: MixUp is an effective data augmentation method to regularize deep neural networks via random linear interpolations between pairs of samples and their labels. It plays an important role in model regularization, semisupervised learning (SSL), and domain adaption. However, despite its empirical success, its deficiency of randomly mixing samples has poorly been studied. Since deep networks are capable of memorizing the entire data set, the corrupted samples generated by vanilla MixUp with a badly chosen interpolation policy will degrade the performance of networks. To overcome overfitting to corrupted samples, inspired by metalearning (learning to learn), we propose a novel technique of learning to a mixup in this work, namely, MetaMixUp. Unlike the vanilla MixUp that samples interpolation policy from a predefined distribution, this article introduces a metalearning-based online optimization approach to dynamically learn the interpolation policy in a data-adaptive way (learning to learn better). The validation set performance via metalearning captures the noisy degree, which provides optimal directions for interpolation policy learning. Furthermore, we adapt our method for pseudolabel-based SSL along with a refined pseudolabeling strategy. In our experiments, our method achieves better performance than vanilla MixUp and its variants under SL configuration. In particular, extensive experiments show that our MetaMixUp adapted SSL greatly outperforms MixUp and many state-of-the-art methods on CIFAR-10 and SVHN benchmarks under the SSL configuration.
Published: 2022

28. Super‐resolution imaging detects BP180 autoantigen in immunoglobulin M pemphigoid

Author: Hiroaki Iwata, Shoko Mai, Kentaro Izumi, Masumi Tsujuwaki, Yoko Hirano, Hideyuki Ujiie, Hiroshi Koga, Keisuke Imafuku, and Yosuke Mai
Subjects: Adult, Pathology, medicine.medical_specialty, Pemphigoid, Enzyme-Linked Immunosorbent Assay, Dermatology, Autoantigens, Young Adult, Pemphigoid, Bullous, medicine, Humans, Direct fluorescent antibody, Autoantibodies, Dermoepidermal junction, integumentary system, biology, business.industry, Autoantibody, General Medicine, Non-Fibrillar Collagens, medicine.disease, Staining, Immunoglobulin M, biology.protein, Female, Bullous pemphigoid, Antibody, business
Abstract: Bullous pemphigoid is generally caused by immunoglobulin (Ig)G autoantibodies against hemidesmosomal BP180 and/or BP230. Recently, the concept of IgM pemphigoid has been proposed. A 23-year-old Japanese woman presented with a 4-month history of severely itchy papules showing subepidermal separations with mild neutrophil infiltration. Direct immunofluorescence (DIF) revealed IgM deposits at the dermoepidermal junction, but neither IgG nor IgA deposits. Indirect immunofluorescence on 1 M NaCl-split skin demonstrated deposits on the epidermal side. The optical density (OD) value of a modified IgM enzyme-linked immunosorbent assay for full-length BP180, but not for BP180-NC16A, was increased. The patient was diagnosed with IgM pemphigoid and was treated with diphenyl sulfone at 50 mg/day without recurrence. To confirm the precise autoantigen, we tried to obtain super-resolution imaging. The deposition pattern of IgM autoantibodies seemed to be oriented parallel to that of BP180. The detailed images detect DIF deposits apart from BP180-NC16A staining, but are close to type VII collagen-NC1 staining. This result suggests that the IgM autoantibodies in the patient might target the C-terminus of BP180. IgM pemphigoid is still not a widely accepted concept, and the clinical course remains unknown. We will carefully follow-up the patient. Super-resolution images may help to detect precise autoantigens in autoimmune blistering diseases.
Published: 2021

29. Parental perspective on important health outcomes of extremely preterm infants

Author: Thuy Mai Luu, Claude Julie Bourque, Anne Synnes, Thuy-An Mai-Vo, Magdalena Jaworski, Annie Janvier, and Rebecca Pearce
Subjects: Parents, medicine.medical_specialty, Pediatrics, Gestational Age, Health outcomes, Outcome Assessment, Health Care, medicine, Humans, Neonatology, Child, Emotional health, business.industry, Extremely preterm, Perspective (graphical), Infant, Newborn, Infant, Obstetrics and Gynecology, Gestational age, General Medicine, Child development, Infant, Extremely Premature, Pediatrics, Perinatology and Child Health, PARENTAL CONCERNS, Premature Birth, Female, business
Abstract: Background and objectiveNeonatal outcome research and clinical follow-up principally focus on neurodevelopmental impairment (NDI) after extremely preterm birth, as defined by the scientific community, without parental input. This survey aimed to investigate parental perspectives about the health and development of their preterm children.MethodsParents of children aged 18 months to 7 years born Results248 parents of 213 children (mean gestational age 26.6±1.6 weeks, 20% with severe NDI) were recruited. Parents evaluated their children’s health at a median of 9/10. Parental priorities for health improvements were (1) development, mainly behaviour, emotional health and language/communication (55%); (2) respiratory heath and overall medical fragility (25%); and (3) feeding/growth issues (14%). Nineteen per cent explicitly mentioned ‘no improvements’. Parents were more likely to state ‘no improvements’ if child had no versus severe NDI OR 4.33 (95% CI 1.47 to 12.75)) or if parents had no versus at least a high school diploma (OR 4.01 (95% 1.99 to 8.10)).ConclusionsParents evaluate the health of their preterm children as being very good, with positive perspectives. Parental concerns outside the developmental sphere should also be addressed both in clinical follow-up and research.
Published: 2021

30. Determining the Glycemic Index of Nutritional Product for Diabetes Mellitus- Np through Measuring Glycemic Responses to Reference Food (Glucose) and Test Food (Nutritional product -Np)

Author: Nguyen Thi Luong Hanh, Ngo Thi Thu Huyen, Tran Thi Tra Phuong, Vu Thi Thu Hien, Nguyen Thi Diep Anh, Le Danh Tuyen, Tu Thi Mai, Dinh Tran Ngoc Huy, Truong Tuyet Mai, Nguyen T. Hung, Le Thi Hang, Bui Thi Thuy, Le Thi Tuyet Nhung, and Nguyen Hong Truong
Subjects: Glycemic index, Test food, business.industry, Diabetes mellitus, digestive, oral, and skin physiology, Medicine, Food science, Product (category theory), business, medicine.disease, Glycemic
Abstract: The objective was to determine the glycemic index (GI) of Nutritional product for Diabetes Mellitus through measuring glycemic responses to reference food (Glucose) and test among nutritional product 13 participants. The study was a self-controlled clinical trial with 13 qualified participants (8 men and 5 women). They were required to go through the study protocol with reference food and test food. For each individual, seven blood samples were taken in the fasting state and at 15, 30, 45, 60, 90 and 120 minutes after ingestion. Our results show that at all measurement points, the blood glucose levels after consumption of test food were lower than after consumption of reference food. The incremental area under the curve (iAUC) and a GI value of Nutritional product (NP) were calculated for each meal. Mean ± SD of GI value was calculated for test food for the combined group of subjects. Mean iAUC and GI value of Nutritional product were 62,1 ± 12,5 mmol·min/L and 44,9 ± 7,2, significantly lower to those of reference food, which were 132,6 ± 14,8 mmol·min/L and 100, respectively. Finding from the study demonstrated that Nutritional product (GI = 44,9) would be classified as a low – GI food.
Published: 2021

31. Land Suitability Modeling For Ricecrop Based On An Integrated Multi-Criteria Decision Making In Quang Tri Province Of Vietnam

Author: Mai Phuong Pham, Altaf Hussain Lahori, Thi Quyen Bui, Thi Hanh Tong, Thi Thu Nga Nguyen, A. E. Balakirev, and Thi Mai Huong Nguyen
Subjects: Geography (General), evaluation, business.industry, Process (engineering), ahp, tqpsis, Geography, Planning and Development, Social sustainability, Analytic hierarchy process, Agricultural engineering, Environmental Science (miscellaneous), gis, rice crop, Geography, Work (electrical), Ranking, Agriculture, G1-922, Production (economics), land suitability, Arable land, business
Abstract: The present study was aimed to determine the potential cultivated lands for rice crop production in Vietnam. Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TQPSIS) were employed in order to analyze the structure of an ideal solution in agriculture that focuses mainly on environmental, economic, and social sustainability. A final ranking of alternative development solutions was also accomplished. Three major factors were taken into consideration during the process, including the economics, social concerns, and the environment, in order to develop a sustainable plan for rice and other grain crops in the future. The obtained results demonstrate that the area under investigation in Quang Tri province, which encompasses 192.49 km2 of land area, was extremely conducive to growing rice crops, with the majority of the arable lands suitable for cultivating rice varieties concentrated in Trieu Long District (63.14 km2) and Hai Lang District (56.87 km2). The main findings of the present work indicated that, it can link decision makers with the influencing variables of rice crop growing utilizing a hybrid method that can be successfully used based on GIS technique. To expand production, chemical soil characteristics and agricultural development strategies should be investigated further, particularly in the studied areas with greater success potential.
Published: 2021

32. Customised hybrid CT-MRI 3D-printed model for grade V spondylolisthesis in an adolescent

Author: Eric A. Sribnick, Mai-Lan Ho, Allan Beebe, and Jayanthi Parthasarathy
Subjects: 3d printed, medicine.medical_specialty, Adolescent, Case Report, Multidisciplinary team, 03 medical and health sciences, 0302 clinical medicine, 0502 economics and business, High spatial resolution, Medicine, Humans, Medical physics, business.industry, 05 social sciences, General Medicine, Prostheses and Implants, medicine.disease, Magnetic Resonance Imaging, Spondylolisthesis, Workflow, Clinical diagnosis, Orthopedic surgery, Printing, Three-Dimensional, 050211 marketing, business, Tomography, X-Ray Computed, 030217 neurology & neurosurgery
Abstract: 3D-printed patient-specific models provide added value for initial clinical diagnosis, preoperative surgical and implant planning and patient and trainee education. 3D spine models are usually designed using CT data, due to the ability to rapidly image osseous structures with high spatial resolution. Combining CT and MRI to derive a composite model of bony and neurological anatomy can potentially provide even more useful information for complex cases. We describe such a case involving an adolescent with a grade V spondylolisthesis in which a composite model was manufactured for preoperative and intraoperative evaluation and guidance. We provide a detailed workflow for creating such models and outline their potential benefit in guiding a multidisciplinary team approach.
Published: 2023

33. F18-FET PET in pediatric brain tumors: integrative analysis of image derived parameters and clinico-pathological data

Author: Mohamed El-Beltagy, Eslam Maher, Soha Ahmed, Moatasem El-Ayadi, Hala Taha, Magdy H Eltaoudy, Mai Amr Elahmadawy, and Amal Refaat
Subjects: Receiver operating characteristic, business.industry, medicine.disease, Neuroimaging, Pediatric brain, Medicine, Radiology, Nuclear Medicine and imaging, In patient, Clinico pathological, Cutoff point, Medical diagnosis, business, Abscess, Nuclear medicine
Abstract: BACKGROUND F18-FET PET has an established diagnostic role in adult brain gliomas, here we analyzed image derived static & dynamic parameters with available conventional MRI, histological, clinical & follow up data in assessment of pediatric brain tumor patient at different stages of the disease. METHODS Forty-four pediatric patients with median age 7 years, diagnosed with brain tumors and underwent forty-seven 18F-FET PET scans either initially (20 scans) or post-therapy (27 scans) were enrolled. Standardized analysis of Summed FET PET images early from 10-20 min and late from 30-40 min post-injection were used for static (mean & maximum Tumor to Brain Ratio "TBR" & Biological Tumor Volume "BTV") parameters evaluation as well as the Time Activity Curve "TAC". RESULTS 19 out of 20 initially assessed patients had pathologically &/or clinico-radiologically proven neoplastic lesions and one patient had pathologically proven abscess. Receiver Operator Curve (ROC) marked early TBR max 2.95, early TBR mean 1.76, late TBR max 2.5 and late TBR mean 1.74 as discriminator points with diagnostic accuracy reaching 90% when TBR max was combined with dynamic parameters. Significant association was found between initial FET scans, early & late BTV & Event Free Survival "EFS" (P value =0.042 & 0.005 respectively). In post-therapy assessment, the diagnostic accuracy of conventional MRI was 81.48% when used alone and 96.30% when combined with F18-FET PET scan findings. A cutoff point of 3.2 cm3 for late BTV, in posttherapy scans, was successfully marked as a predictor for therapy response (P-value 0.042) and was significantly associated with EFS (P-value 0.002). In FET-avid / MRI non-enhancing lesions, early TBR max was able to detect highly malignant processes (high-grade tumors in initial scans & residue/recurrence in post-therapy scans) with 80% sensitivity & 100% specificity when cutoff value of 2.25 was used (P-value =0.024). In patients with FET-avid brainstem lesions, whether enhancing or non-enhancing in MRI scans, 81.8% were associated with high risk diagnoses and 68.2% of them were associated with poor therapy outcome. The degree of FET uptake matched tumor-grading, but did not show significant association with OS or EFS (P-value >0.05). CONCLUSIONS F18-FET PET seems to be an evolving pediatric neuroimaging technique with valuable diagnostic & prognostic information at initial and post-therapy evaluation.
Published: 2023

34. Superior Mesenteric Artery Syndrome Accompanied by Acute-onset Type 1 Diabetes Complicated with Graves' Disease

Author: Eijiro Yamada, Yasuyo Nakajima, Emi Ishida, Satoshi Yoshino, Shuichi Okada, Kazuhiko Horiguchi, Shunichi Matsumoto, Mai Sue-Nagumo, and Masanobu Yamada
Subjects: Adult, Male, Type 1 diabetes, medicine.medical_specialty, Exacerbation, Superior Mesenteric Artery Syndrome, business.industry, Nausea, Graves' disease, Perforation (oil well), General Medicine, Disease, medicine.disease, Graves Disease, Surgery, Diabetes Mellitus, Type 1, Internal Medicine, medicine, Vomiting, Humans, medicine.symptom, Polyendocrinopathies, Autoimmune, business, Superior mesenteric artery syndrome
Abstract: A 35-year-old man experienced general fatigue and could not eat solid food because of nausea and vomiting. His weight abruptly decreased from 49 to 45 kg after 2 weeks. A detailed examination indicated superior mesenteric artery syndrome (SMAS) accompanied by acute-onset type 1 diabetes complicated by Graves' disease, referred to as autoimmune polyglandular syndrome type 3A (APS3A). Although SMAS has a good prognosis, some cases require emergency surgery, especially when complicated by gastric perforation. In our case, APS3A and SMAS developed rapidly and at approximately the same time, resulting in a cycle of mutual exacerbation.
Published: 2022

35. MRS-Net+ for Enhancing Face Quality of Compressed Videos

Author: Rui Ding, Huaida Liu, Tie Liu, Shengxi Li, and Mai Xu
Subjects: business.industry, Computer science, computer.software_genre, Subnet, Scalable Video Coding, Videoconferencing, Face (geometry), Scalability, Media Technology, Bandwidth (computing), Computer vision, Pyramid (image processing), Artificial intelligence, Electrical and Electronic Engineering, business, computer, Data compression
Abstract: During the past few years, face videos, e.g., video conference, interviews and variety shows, have grown explosively with millions of users over social media networks. Unfortunately, the existing compression algorithms are applied to these videos for reducing bandwidth, which also bring annoying artifacts to face regions. This paper addresses the problem of face quality enhancement in compressed videos by reducing the artifacts of face regions. Specifically, we establish a compressed face video (CFV) database, which includes 196,337 faces in 214 high-quality video sequences and their corresponding 1,712 compressed sequences. We find that the faces of compressed videos exhibit tremendous scale variation and quality fluctuation. Motivated by scalable video coding, we propose a multi-scale recurrent scalable network (MRS-Net+) to enhance the quality of multi-scale faces in compressed videos. The MRS-Net+ is comprised by one base and two refined enhancement levels, corresponding to the quality enhancement of small-, medium- and large-scale faces, respectively. In the multi-level architecture of our MRS-Net+, small-/medium-scale face quality enhancement serves as the basis for facilitating the quality enhancement of medium-/large-scale faces. We further develop a landmark-assisted pyramid alignment (LPA) subnet to align faces across consecutive frames, and then apply the mask-guided quality enhancement (QE) subnet for enhancing multi-scale faces. Finally, experimental results show that our MRS-Net+ method achieves averagely 1.196 dB improvement of peak signal-to-noise ratio (PSNR) and 23.54% saving of Bjontegaard distortion-rate (BD-rate), significantly outperforming other state-of-the-art methods.
Published: 2022

36. Improved Winding and Compensation Methods for the Multilayer Coil in IPT System

Author: Xianrui Zeng, Yousu Yao, Dianguo Xu, Jianwei Mai, and Yijie Wang
Subjects: Power transmission, Materials science, business.industry, Electrical engineering, Compensation methods, Compensation (engineering), law.invention, Capacitor, Control and Systems Engineering, law, Electromagnetic coil, Electronics, Electrical and Electronic Engineering, business, Energy (signal processing), Voltage
Abstract: Wireless power transmission technology is used to transmit energy without contact in the field of electric vehicles, consumer electronics and other industries. Among them, there are some applications with very low coupling coefficient where multilayer coil needs to be wound. Influenced by the parasitic capacitor between layers, the loss of the multilayer coil increases. The improved coil winding method and compensation method are proposed in this letter. Winding coils following the same sequence from outside to inside in each layer and connecting capacitors in series between layers of the coil can significantly reduce the voltage of the layers parasitic capacitor, which will decrease the coil loss. Compared with traditional method, the improved method increases the system efficiency at heavy load and light load by 0.74% and 2.48%, respectively. A 1-kW prototype was built with the maximum efficiency of 93.58%.
Published: 2022

37. Interpenetrating structure for efficient Sb2Se3 nanorod array solar cells loaded with CuInSe2 QDs sensitizer

Author: Yaohua Mai, Jianzha Zheng, Kai Shen, Zhenxiao Pan, Fei Guo, Ruud E. I. Schropp, Xiaoyang Liang, Zhiqiang Li, Cong Liu, and Hongbing Zhu
Subjects: Photocurrent, Materials science, Nanostructure, Nanocomposite, business.industry, Energy conversion efficiency, Energy Engineering and Power Technology, Fuel Technology, Semiconductor, Quantum dot, Electrochemistry, Optoelectronics, Nanorod, business, Energy (miscellaneous), Visible spectrum
Abstract: The strong anisotropic electrical properties of one-dimensional (1D) nanostructure semiconductors, especially the anisotropic carrier transport, have a negative and significant influence on the performance of solar cells if the nanostructures have random orientation. Considering the advantages of nanorod solar cells in carrier transport, we have achieved growth of vertically aligned Sb2Se3 nanorod array with highly (hk1) orientation on CdS substrate, and constructed superstrate nanorod solar cells for the first time. The Sb2Se3 nanorod array solar cells exhibit the more efficient and long-range carrier transport in vertical direction. Furthermore, in order to suppress interface recombination, a CuInSe2 quantum dots (QDs) sensitizer has been applied to fill the volume between the nanorods completely, thus forming an interpenetrating nanocomposite structure. The CuInSe2 QDs can harvest additional light by absorption of visible light and contribute photocurrent. Meantime, the QDs function as a hole transport material and thus reduce the dependence of lateral transport. Consequently, the interpenetrating nanocomposite CuInSe2/Sb2Se3 solar cells display a power conversion efficiency of 7.54% with significant enhancements in the short-circuit current density and open-circuit voltage over pure Sb2Se3 nanorod cells. This is the highest efficiency for superstrate solar cells based on Sb2Se3 nanorod arrays.
Published: 2022

38. Seizure Deterioration with Increased Levetiracetam Blood Concentration during the Postpartum Period in Refractory Temporal Lobe Epilepsy

Author: Shiro Aoki, Hirofumi Maruyama, Takeo Shishido, Hiroki Ueno, Shuichiro Neshige, Mai Kikumoto, and Koji Iida
Subjects: Adult, Levetiracetam, Temporal lobe, Epilepsy, Pharmacokinetics, Blood concentration, Refractory, Pregnancy, Seizures, Internal Medicine, Humans, Medicine, business.industry, Postpartum Period, General Medicine, medicine.disease, Piracetam, Treatment Outcome, Epilepsy, Temporal Lobe, Anesthesia, Anticonvulsants, Female, business, Postpartum period, medicine.drug
Abstract: We evaluated a 39-year-old pregnant woman with right temporal lobe epilepsy. During the second trimester, seizure deterioration was responsive to an increased daily dose of levetiracetam (LEV). However, immediately after delivery, new non-habitual seizures emerged along with a sharply increased LEV concentration. The frequency of habitual seizures also slightly increased. The non-habitual seizures completely disappeared, and the frequency of the habitual seizures improved to the baseline level after the LEV dosage was reduced. Thus, a paradoxical effect of an increased LEV blood concentration was assumed to be a potential cause of these events. Peripartum pharmacokinetic fluctuations in LEV levels should be monitored carefully.
Published: 2022

39. A Novel Misalignment Tolerant Magnetic Coupler for Electric Vehicle Wireless Charging

Author: Jianwei Mai, Xiaosheng Liu, Dianguo Xu, Yousu Yao, Shenghan Gao, and Xiangjun Zhang
Subjects: Coupling, business.product_category, business.industry, Electromagnetic coil, Computer science, Electric vehicle, Wireless, Maximum power transfer theorem, Solenoid, business, Coupling coefficient of resonators, Automotive engineering, Power (physics)
Abstract: The lateral misalignment for static electric vehicle (EV) wireless charging could be much larger than 100 mm if the parking assistance systems are unavailable. This paper proposes a split flat solenoid coupler (SFSC) to significantly extend the lateral misalignment and reduce the copper and ferrite usage. To obtain a good balance among coupling, misalignment tolerance, and cost, an optimization method for SFSC is proposed where the size limitations and ferrite tile specifications are considered. The optimized SFSC is compared with two magnetic couplers recommended in SAE J2954 in terms of coupling coefficient and misalignment tolerance. To eliminate the impact of coil size and make the comparison fair, the quantified misalignment tolerance is introduced. The proposed SFSC provides much better misalignment tolerance than the recommended couplers. A 1000-W prototype is built to show the advantages of the proposed coupler. The output current keeps unchanged when the lateral misalignment is as high as 400 mm. A highest power transfer efficiency, from DC input to DC output, of 89.12% is achieved when the output power is 1000 W.
Published: 2022

40. Optimized Design of Integrated Planar Matrix Transformer for LLC Converter in Consumer Electronics

Author: Zhaotian Yan, Ruikun Mai, Wei Zhou, Huan Liu, Lizhou Liu, and Changxin Chen
Subjects: Computer science, business.industry, Electrical engineering, Energy Engineering and Power Technology, Copper loss, law.invention, Printed circuit board, Planar, Magnetomotive force, law, Electronics, Wireless power transfer, Electrical and Electronic Engineering, Transformer, business, Voltage
Abstract: LLC resonant converter gets more and more applications in consumer electronics as it can convert the high voltage-low current state induced by wireless power transfer (WPT) into a low voltage-high current state effectively and efficiently. In this work, a planar matrix transformer structure and a new winding method are proposed in an LLC resonant converter to achieve a voltage conversion of 40V to 5V after WPT in consumer electronics. This article focuses on modeling such a transformer and finding an optimal size to minimize the copper loss and the core loss with a total thickness of 2 mm. The theoretical analysis shows that the proposed winding method can minimize magnetomotive force in both positive and negative periods and reduce the fringing magnetic fields’ influence around airgaps. The winding’s AC resistance can be reduced dramatically by such printed circuit board (PCB) winding method. Meanwhile, such a structure can decrease copper loss by integrating the secondary winding in the UI core. An 80-W prototype is built to validate the proposed method’s feasibility with 1.5-MHz operating frequency, 40-V input voltage, and 5-V output voltage. The system owns the efficiency of 93.1% at full load condition.
Published: 2022

41. High-Misalignment-Tolerant IPT Systems With Solenoid and Double D Pads

Author: Jianwei Mai, Dianguo Xu, Mengzhou Sun, Yijie Wang, and Yousu Yao
Subjects: Physics, business.industry, Electrical engineering, Solenoid, Power (physics), law.invention, Inductance, Control and Systems Engineering, law, Maximum power transfer theorem, Electrical and Electronic Engineering, business, Transformer, Voltage
Abstract: the capability of misalignment tolerance is vital for an IPT (inductive power transfer) system. A new loosely coupled transformer structure with series solenoid and DD pads (SDDP) was proposed in this paper to improve the misalignment tolerance of the IPT system. The designed loosely coupled transformer not only has strong misalignment-tolerant capability in the X-direction, but also has strong misalignment-tolerant capability in the Y-direction. The fluctuation of mutual inductance is 3.15% within 67.0% misalignment distance of largest size of the SDDP in the X-direction and 44% misalignment distance of largest size of the SDDP in the Y-direction. Finally, an LCC/S compensated IPT system with 300W power was built as an example to demonstrate the performance of the proposed LCT. The output voltage fluctuates with rated load is less than 3.2%. And the efficiency is 90.2%91.3%.
Published: 2022

42. Perceptions of expressed breast milk for preterm infants in Malawian hospitals: A qualitative study

Author: Queen Dube, Rajavel Elango, Mwai Banda, Alinane Linda Nyondo-Mipando, Mai-Lei Woo Kinshella, David M. Goldfarb, Marianne Vidler, Sangwani Salimu, Anna-Joy Ong, and Kondwani Kawaza
Subjects: medicine.medical_specialty, business.industry, Family support, media_common.quotation_subject, education, Staffing, Pediatrics, Expressed breast milk, Content analysis, Family medicine, Perception, Health care, medicine, Global health, business, Qualitative research, media_common
Abstract: Background Expressed breastmilk (EBM) can support lactation for mothers of preterm infants with underdeveloped feeding skills. However, there may be implementation challenges in resource-limited global health settings. Objective To explore EBM barriers and facilitators perceived by caregivers and healthcare workers in Malawi. Methods A secondary analysis of in-depth interviews exploring breastfeeding support at health facilities conducted at three secondary-level district hospitals and one tertiary-level central hospital in southern Malawi. Interviews underwent content analysis in NVivo 12 (QSR International, Melbourne, Australia). Results There were 58 healthcare workers and 54 caregivers interviewed. Caregiver unfamiliarity, maternal exhaustion, and inadequate clinical support/equipment were barriers to EBM practice. Caregiver acceptance was supported by witnessing infant growth. Demonstrations of EBM by healthcare workers and family support also facilitated practice. Conclusion Raising community awareness and extending counselling to family members upon initiation are vital to supporting mothers practice EBM in resource-limited global health settings with chronic staffing shortages.
Published: 2022

43. Interleukin-23 serum level in systemic lupus erythematosus patients: Relation to disease activity and different disease parameters

Author: Shimaa Rafat, Mai E. Ahmed, Yomna Y. Mohamed, and Enas A. Abdelaleem
Subjects: business.industry, Disease, RC581-607, Interleukin-23, Disease activity, Systemic lupus erythematosus, Damage, Rheumatology, Immunology, Interleukin 23, Medicine, Immunologic diseases. Allergy, business, skin and connective tissue diseases
Abstract: Aim of the work: To assess serum level of interleukin 23 (IL-23) in systemic lupus erythematosus (SLE) patients and to evaluate its association with disease parameters and activity. Patients and methods: The study involved 40 SLE patients and 40 controls. The SLE disease activity index (SLEDAI) and damage index (SDI) were assessed. Serum level of IL-23 was measured by enzyme linked immunosorbant assay (ELISA). Results: Patients were 38 females and 2 males (F:M 19:1),with a mean age of 31.3 ± 7.5 years (17–50 years) and disease duration 4.8 ± 2.9 years (1–13 years). Their mean SLEDAI was 14.3 ± 6.8 (3–32) and SDI 0.4 ± 0.5 (0–2). 85% of patients had photosensitivity, alopecia in 60%, malar rash in 57.5%, oral ulcers 52.5%, arthralgia/arthritis 47.5%, serositis and lupus nephritis in 27.5%, discoid rash in 22.5% and neuropsychiatric in 2.5%. Mean serum level of IL-23 was significantly elevated in patients (107.9 ± 17.3 ng/L; 72.7–165.5 ng/mL) compared to controls (91.6 ± 19.1 ng/L; 57.6–140.3 ng/mL; p
Published: 2022

44. Nasogastric administration of osimertinib suspension for an epidermal growth factor receptor-mutated lung cancer causing an esophageal stricture: case report

Author: Daishiro Kato, Izumi Sato, Nozomi Tani, Keiko Tanimura, Takayuki Nakano, Nobutaka Kataoka, Saki Takatsuka, Mai Tanimura, Yusuke Kunimatsu, Rei Tsutsumi, and Takayuki Takeda
Subjects: Advanced and Specialized Nursing, medicine.medical_specialty, medicine.diagnostic_test, Esophageal disease, business.industry, Esophagogastroduodenoscopy, medicine.disease, Dysphagia, Gastroenterology, Anesthesiology and Pain Medicine, medicine.anatomical_structure, Internal medicine, Esophageal stricture, medicine, Adenocarcinoma, Osimertinib, medicine.symptom, Esophagus, Lung cancer, business
Abstract: An esophageal stricture is an abnormal esophageal narrowing, usually caused by esophageal diseases and rarely by lung cancer. They cause malnutrition, performance status (PS) deterioration, and difficulty in the oral administration of antitumor drug tablets. A 78-year-old female patient with lung adenocarcinoma, harboring an epidermal growth factor receptor (EGFR)-sensitizing mutation, experienced dysphagia due to an esophageal stricture caused by retrotracheal lymph node metastases. Osimertinib is a third-generation EGFR-tyrosine kinase inhibitor that is efficacious against EGFR-sensitizing mutations. The esophageal stricture hampered food intake and oral administration of osimertinib, causing severe malnutrition and deterioration to PS 3. Esophagogastroduodenoscopy (EGD) revealed severe and entire circumferential stenosis (7 cm in length) of the upper esophagus without mucosal abnormality. A nasogastric tube was inserted under EGD guidance, and an osimertinib suspension was administered accordingly: a tablet containing 80 mg of osimertinib was suspended in 50 mL of sterile hot water (55 ℃) for ten minutes, and the suspension was administered through a nasogastric tube once daily. Dysphagia improved 15 days after the introduction of osimertinib. After 21 days, the patient could take foods and drugs orally, and her PS improved to 1. Administering an osimertinib suspension via a nasogastric tube was a viable option in managing esophageal strictures in patients with EGFR-sensitizing mutations.
Published: 2022

45. Multipass low fluence, high-frequency 755-nm alexandrite laser versus high fluence, low-frequency 1064-nm long-pulsed Nd: YAG laser in axillary hair reduction of dark skin phototypes: an intra-individual randomized comparative study

Author: Mai Tymour, Shady M. Ibrahim, and Nayera H. Moftah
Subjects: Adult, medicine.medical_treatment, Lasers, Solid-State, Dermatology, Low frequency, Hair Removal, Fluence, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, Optics, Hair removal, medicine, Humans, Alexandrite laser, Laser hair removal, 030203 arthritis & rheumatology, integumentary system, Low fluence, business.industry, Intra individual, Treatment Outcome, Nd:YAG laser, Axilla, Quality of Life, Female, sense organs, business, Hair
Abstract: Laser hair removal has become popular means of achieving hair reduction with improved quality of life.This study aimed to assess the safety and efficacy of Multipass low fluence, high-frequency 755-nm Alexandrite laser versus the high fluence, low-frequency 1064-nm long-pulsed Nd: YAG laser on axillary hair reduction in women with dark skin phototypes.This study was carried out on 30 adult women [skin type, IV-VI)] who seek axillary hair reduction. These subjects were adjusted to receive 5 laser sessions with a 1-month interval. One side received high fluence, low-frequency 1064-nm laser where the other side received multipass low fluence, high-frequency 755 nm laser. The follow-up was done using photographs, folliscope, patients' visual analog pain scale.The mean percentage of hair density reduction showed significant improvement in both treated sides being higher in the Alex treated side with corresponding significant decreases in the mean hair thickness.Multipass low fluence, high-frequency 755-nm Alex laser practice was verified to be safe and effective for hair removal in dark skin phototypes compared to the high fluence, low frequency 1064-nm long-pulsed Nd:YAG laser.
Published: 2022

46. A Monitoring Equipment Charging System for HVTL Based on Domino-Resonator WPT With Constant Current or Constant Voltage Output

Author: Zhengyou He, Ruikun Mai, Xiao Jing, Shaonan Chen, Yong Li, Huanyu Yang, Huaqiang Xie, Zhaotian Yan, Wei Zhou, and Chenyan Zhu
Subjects: Physics, Transmission (telecommunications), business.industry, Transmitter, Electrical engineering, Battery (vacuum tube), Constant current, Insulator (electricity), Wireless power transfer, Electrical and Electronic Engineering, business, Voltage, Power (physics)
Abstract: The domino-resonator wireless power transfer (WPT) system is designed in this work to harvest energy from the magnetic field around a 110-kV high voltage transmission line (HVTL) and transmit the power to the online monitoring equipment continuously over 1.1 meters insulation distance. Each domino-resonator is evenly spaced and is embedded inside totally sealed insulation discs. The theoretical analysis shows that the constant voltage (CV) mode and the constant current (CC) mode can be realized by adjusting the receiver's switch state, which can meet the battery's CV and CC charging requirements. Such a method cancels the communication between the transmitter and the receiver. The finite element simulation results show that the influence on the electric and magnetic field intensity distribution near the insulator can be negligible. Finally, a 30W prototype with an output voltage of 7V is built. The experimental results show that the fluctuation of output voltage (CV mode) and output current (CC mode) is less than 6% and 7%, respectively. The maximum efficiency is higher than 40% when the transmission distance is 1.1m, and the number of coils is 12.
Published: 2022

47. Gynecological aspects as a component of comprehensive geriatric assessment: A study of self-rated symptoms of pelvic organ prolapse among community-dwelling elderly women in Japan

Author: Mai Tatsuno, Yumi Kimura, Mayumi Hirosaki, Mitsuhiro Nose, Kozo Matsubayashi, Yasuko Ishimoto, Ryota Sakamoto, Kiichi Hirayama, Taizo Wada, Kiyohito Okumiya, Michiko Fujisawa, and Emiko Kato
Subjects: Male, Geriatrics, Pelvic organ, medicine.medical_specialty, Activities of daily living, business.industry, Obstetrics and Gynecology, Geriatric assessment, Odds ratio, Pelvic Organ Prolapse, General Biochemistry, Genetics and Molecular Biology, Confidence interval, Test (assessment), Distress, Cross-Sectional Studies, Japan, Activities of Daily Living, Physical therapy, Humans, Medicine, Female, Independent Living, business, Aged
Abstract: Despite the reported 'male-female health-survival paradox', no components of the comprehensive geriatric assessment (CGA) routinely used in the field of geriatrics focus on female-specific symptoms. To investigate the impact of gynecological factors among elderly women, we noted the gynecological history and examined the association between self-rated symptoms of pelvic organ prolapse (POP) and CGA.This community-based, cross-sectional study in Japan included 164 community-dwelling women aged ≥75 years.The main outcome measures were the Pelvic Organ Prolapse Distress Inventory-6 (POPDI-6), activities of daily living (ADL), and Timed Up and Go (TUG) test. Self-rated symptoms of POP were assessed using POPDI-6, and the participants were dichotomized into POPDI-60 (symptom group) and POPDI-6 = 0 (no-symptom group). Several components of the CGA were compared between the groups with and without symptoms of POP and the association with POPDI-6 score was analyzed by multiple logistic regression analysis.Compared with the no-symptom group, the symptom group had significantly longer TUG test time (≥13.5 s) (P = 0.024) and difficulty in basic ADL (score21) (P = 0.02). In multiple logistic regression analysis, basic ADL21 and TUG time ≥13.5 s were significantly associated with POPDI-60 (odds ratio [OR] = 2.78; 95% confidence interval [CI] = 1.10-7.06 and OR = 3.45; 95% CI = 1.01-1.24).Self-rated POP symptoms were associated with CGA components among community-dwelling elderly women. Evaluating POP symptoms as part of the CGA could be meaningful for improving physical and psychological health in elderly women.
Published: 2022

48. Review: Adult Outcome as Seen Through Controlled Prospective Follow-up Studies of Children With Attention-Deficit/Hyperactivity Disorder Followed Into Adulthood

Author: Elizabeth B. Owens, Gabrielle Weiss, Lily Hechtman, Russell A. Barkley, Arunima Roy, Brooke S. G. Molina, Mariya V. Cherkasova, Joseph Biederman, Gabrielle Scott, Mai Uchida, and Stephen P. Hinshaw
Subjects: Adult, Persistence (psychology), Adolescent, Comorbidity, Young Adult, Intervention (counseling), Developmental and Educational Psychology, medicine, Humans, Attention deficit hyperactivity disorder, 0501 psychology and cognitive sciences, Prospective Studies, General hospital, Child, High rate, business.industry, 05 social sciences, Follow up studies, medicine.disease, Mental health, Psychiatry and Mental health, Attention Deficit Disorder with Hyperactivity, Attention Deficit and Disruptive Behavior Disorders, business, Follow-Up Studies, 050104 developmental & child psychology, Clinical psychology
Abstract: Objective To describe adult outcome of people with attention-deficit/hyperactivity disorder (ADHD) diagnosed in childhood and its several key predictors via a review of 7 North American controlled prospective follow-up studies: Montreal, New York, Milwaukee, Pittsburgh, Massachusetts General Hospital (MGH), Berkeley, and 7-site Multimodal Treatment Study of Children With ADHD (MTA). Method All studies were prospective and followed children with a diagnosis of ADHD and an age- and gender-matched control group at regular intervals from childhood (6–12 years of age) through adolescence into adulthood (20–40 years of age), evaluating symptom and syndrome persistence, functional outcomes, and predictors of these outcomes. Results The rates of ADHD syndrome persistence ranged from 5.7% to 77%, likely owing to varying diagnostic criteria and the source of information (self-report vs informant report) across the studies. However, all studies observed high rates of symptomatic persistence ranging from 60% to 86%. The 7 studies were largely consistent in finding that relative to control groups, research participants with childhood-diagnosed ADHD had significant impairments in the areas of educational functioning, occupational functioning, mental health, and physical health as well as higher rates of substance misuse, antisocial behavior, and unsafe driving. The most consistently observed predictors of functional outcomes included ADHD persistence and comorbidity, especially with disruptive behavior disorders. Conclusion Childhood ADHD has high rates of symptomatic persistence, which is associated with negative functional outcomes. Characteristics that predict these negative outcomes, such as comorbid disruptive behavior disorders, may be important targets for intervention.
Published: 2022

49. Association Between Soluble Notch Ligand Delta-like Ligand 1 and Bleeding Complications in Patients With Dengue Fever Infection

Author: Mai Hong Bang, Dagmar Hildebrand, Dennis Nurjadi, Le Huu Song, Peter G. Kremsner, Klaus Heeg, Mai Thanh Hai Linh, Nghiem Xuan Hoan, Thirumalaisamy P. Velavan, Vu Viet Sang, and Srinivas Reddy Pallerla
Subjects: medicine.medical_specialty, Delta like ligand, Dengue virus, Ligands, medicine.disease_cause, Gastroenterology, Dengue fever, Dengue, Internal medicine, medicine, Humans, Immunology and Allergy, In patient, Aspartate Aminotransferases, Severe Dengue, Predictive marker, business.industry, Calcium-Binding Proteins, Membrane Proteins, Alanine Transaminase, Plasma levels, medicine.disease, Infectious Diseases, Test performance, Notch ligand, business
Abstract: Bleeding associated with endothelial damage is a key feature of severe dengue fever. In the current study, we investigated whether Notch ligands were associated with bleeding in 115 patients with confirmed dengue infection in Vietnam. Soluble Notch ligands were determined by means of enzyme-linked immunosorbent assay. Seventeen of 115 patients (14.8%) experienced bleeding manifestations. High soluble delta-like ligand 1 (sDLL1) plasma levels was associated with bleeding (median, 15 674 vs 7117 pg/mL; P
Published: 2021

50. Twelve-Month Outcomes of the AFFINITY Trial of Fluoxetine for Functional Recovery After Acute Stroke: AFFINITY Trial Steering Committee on Behalf of the AFFINITY Trial Collaboration

Author: Graeme J. Hankey, Maree L. Hackett, Osvaldo P. Almeida, Leon Flicker, Gillian E. Mead, Martin S. Dennis, Christopher Etherton-Beer, Andrew H. Ford, Laurent Billot, Stephen Jan, Thomas Lung, Erik Lundström, Katharina S. Sunnerhagen, Craig S. Anderson, Huy Thang-Nguyen, John Gommans, Qilong Yi, Veronica Murray, Robert Herbert, Gregory Carter, Geoffrey A. Donnan, Huy-Thang Nguyen, Qiang Li, Severine Bompoint, Sarah Barrett, Anne Claxton, Julia O’Dea, Michelle Tang, Clare Williams, Shenae Peterson, Christie Drummond, Uyen-Ha Hong, Linh-Thi My Le, Tram-Thi Bich Ngo, Yen-Bao Mai, Huyen-Thanh Han, Nhu-Quynh Truong, Huong-Thi Nguyen, Hai-Thanh Ngo, Thi Binh Nguyen, Oanh-Thi Kieu Ha, Trang-Le Huyen Nguyen, Richard I. Lindley, Peter New, Andrew Lee, Thanh-Trung Tran, Loan-Tran Truc Mai Le, Thuy-Le Vu Kieu, Sang-Van Nguyen, Thuy-Anh Diem Nguyen, Tam-Nhat Dang, Hanh-Thi Truc Phan, Loan-Thi Ngoc Vo, Mai-Hue Nguyen, Hanh-Cao Dang, Hong-Thi Tran, Linh-Thi Cam Dam, Trinh-Thi Kim Ngo, Thai-Nguyen Thanh Pham, Binh-Nguyen Pham, Nha-Thi Thanh Dao, Huong-Thi Bich Nguyen, Linh-Thi Cam Le, Chi-Minh Do, Huy-Quoc Huynh, Giau-Thi Kim Tran, Oanh-Thi Le, Ly-Thi Khanh Tran, Chinh-Dinh Duong, Duong-Van Kieu, Na Le, Hoa-Ngoc Nguyen, Binh-Van Le, Long-Thanh Nguyen, Long-Van Nguyen, Tuan-Quoc Dinh, Tan-Van Vo, Tram-Ngoc Bui, Uyen-Thi To Hoang, Hien-Thi Bich Nguyen, Ha-Thi Thu Nguyen, Nga-Thuy Lam, Khanh-Kim Le, Phuong-Thanh Trinh, Hop-Quang Huynh, Thao-Thi Thu Nguyen, Huyen-Ngoc Lu, Tham-Hong Pham, Sam-Hoanh Nguyen, Ninh-Hong Le, Giang-Truong Nguyen, Bich-Thi Doan, Sung-Phuoc Pham, Duong-Huu Luong, Ha-Van Mai, Thuc-Van Tran, Phuong-Thi Do, Hoai-Thi Le, Chi-Van Nguyen, Phuong-Doan Nguyen, Ton-Duy Mai, Phuong-Viet Dao, Dung-Tien Nguyen, Dai-Quoc Khuong, Trung-Xuan Vuong, Lan-Tuong Vu, Ngoc-Duc Ngo, Hanh-Hong Dang, Phuong-Thai Truong, Ngan-Thi Le, Hoa-Van Hoang, Chung-Quang Do, Minh-Thao Nguyen, Anh-Hai Dam, Quynh-Nhu Le, Ngoc-Hoang Nguyen, Tuyen-Van Nguyen, Toan-Dinh Le, Ha-Thi Hai Dinh, Cuong–Van Pham, Khanh-Thi Ngoc Thach, Linh-Hai Nguyen, Loan-Thi Nguyen, Vien-Chi Le, Phuong-Hong Tran, Tai-Anh Nguyen, Tuan-Van Le, Luyen-Van Truong, Tue-Chau Bui, Ngoc-Xuan Huynh, Lap-Van Dinh, An-Gia Pham, Trang-Thi Huyen Le, Vy-Tuong Nguyen, Yen-Hai Nguyen, Thang-Ba Nguyen, Huy Thai, Quyen-Thi Ngoc Pham, Khoa-Duy Dao, Quoc-Nguyen Bao Pham, Thuong-Thi Huyen Dang, Huong-Huynh To Dinh, Trang-Mai Tong, Thuy-Thi Vu, Si-Tri Le, Tai-Ngoc Tran, Phuong-Hoai Tran, Ngoc-Thuy Nhu Dinh, Binh-Thanh Nguyen, Vinh-Phuong Do, Anh-Ngoc Nguyen, Binh-Thi Thanh Nguyen, David Blacker, Lindsey Bunce, Ai Ling Tan, Darshan Ghia, Gillian Edmonds, Nicole O’Loughlin, Megan Ewing, Kerri-Ann Whittaker, Lorralee Deane, Yash Gawarikar, Brett Jones, Maria Lopez, Koushik Nagesh, Emma Siracusa, Stephen Davis, Amy McDonald, Jess Tsoleridis, Rachael McCoy, David Jackson, Gab Silver, Timothy R. Bates, Amanda Boudville, Lynda Southwell, Dennis Cordato, Alan J. McDougall, Cecilia Cappelen-Smith, Zeljka Calic, Shabeel Askar, Qi Cheng, Raymond Kumar, Richard Geraghty, Maree Duroux, Megan Ratcliffe, Samantha Shone, Cassandra McLennan, Ramesh Sahathevan, Casey Hair, Stanley Levy, Beverley Macdonald, Benjamin Nham, Louise Rigney, Dev Nathani, Sumana Gopinath, Vishal Patel, Abul Mamun, Benjamin Trewin, Chun Phua, Ho Choong, Lauren Tarrant, Kerry Boyle, Luisa Hewitt, Monique Hourn, Amanda Masterson, Kim Oakley, Karen Ruddell, Colette Sanctuary, Kimberley Veitch, Camelia Burdusel, Lina Lee, Gary Cheuk, Jeremy Christley, Tabitha Hartwell, Craig Davenport, Kate Hickey, Rosanna Robertson, Michelle Carr, Sam Akbari, Hannah Coyle, Megan O’Neill, Cameron Redpath, Caroline Roberts, Marjan Tabesh, Toni Withiel, Kapila Abeysuriya, Andrew Granger, Angela Abraham, Chermaine Chua, Dung Do Nguyen, Vathani Surendran, Melissa Daines, David Shivlal, Mudassar Latif, Noreen Mughal, Patricia Morgan, Martin Krause, Miriam Priglinger, Ehsan E. Shandiz, Susan Day, Lay Kho, Michael Pollack, Judith Dunne, Helen Baines, Merridie Rees, Jenni White, Aicuratiya Withanage, Candice Delcourt, Cheryl Carcel, Alejandra Malavera, Amy Kunchok, Elizabeth Ray, Elizabeth Pepper, Emily Duckett, Sally Ormond, Andrew Moey, Timothy Kleinig, Vanessa Maxwell, Chantal Baldwin, Wilson Vallat, Deborah Field, Romesh Markus, Kirsty Page, Danielle Wheelwright, Sam Bolitho, Steven Faux, Fix Sangvatanakul, Alexis Brown, Susan Walker, Jennifer Massey, Hillary Hayes, Pesi Katrak, Annie Winker, Alessandro Zagami, Alanah Bailey, Sarah Mccormack, Andrew Murray, Mark Rollason, Christopher Taylor, Fintan O’Rourke, Ye Min Kuang, Heike Burnet, Yvonne Liu, Aileen Wu, Diana Ramirez, Tissa Wijeratne, Sherisse Celestino, Essie Low, Cynthia Chen, Jennifer Bergqvist, Andrew Evans, Queenie Leung, Martin Jude, Rachael McQueen, Katherine Mohr, Latitia Kernaghan, Paul Stockle, Boon L. Tan, Sara Laubscher, Diana Schmid, Melissa Spooner, Bhavesh Lallu, Bronwen Pepperell, John Chalissery, Karim Mahawish, Susan DeCaigney, Paula Broughton, Karen Knight, Veronica Duque, Harry McNaughton, Jeremy Lanford, Vivian Fu, and Lai-Kin Wong
Subjects: Male, medicine.medical_specialty, Steering committee, medicine.medical_treatment, Placebo, B700, Fractures, Bone, Cognition, Double-Blind Method, Recurrence, Seizures, Fluoxetine, Internal medicine, Humans, Medicine, Stroke, Fatigue, Aged, Ischemic Stroke, Acute stroke, Advanced and Specialized Nursing, business.industry, Recovery of Function, Middle Aged, Functional recovery, medicine.disease, Clinical trial, Affect, Hemorrhagic Stroke, Quality of Life, Accidental Falls, Female, Neurology (clinical), Cardiology and Cardiovascular Medicine, business, Stroke recovery, Selective Serotonin Reuptake Inhibitors, medicine.drug
Abstract: Background and Purpose: The AFFINITY trial (Assessment of Fluoxetine in Stroke Recovery) reported that oral fluoxetine 20 mg daily for 6 months after acute stroke did not improve functional outcome and increased the risk of falls, bone fractures, and seizures. After trial medication was ceased at 6 months, survivors were followed to 12 months post-randomization. This preplanned secondary analysis aimed to determine any sustained or delayed effects of fluoxetine at 12 months post-randomization. Methods: AFFINITY was a randomized, parallel-group, double-blind, placebo-controlled trial in adults (n=1280) with a clinical diagnosis of stroke in the previous 2 to 15 days and persisting neurological deficit who were recruited at 43 hospital stroke units in Australia (n=29), New Zealand (4), and Vietnam (10) between 2013 and 2019. Participants were randomized to oral fluoxetine 20 mg once daily (n=642) or matching placebo (n=638) for 6 months and followed until 12 months after randomization. The primary outcome was function, measured by the modified Rankin Scale, at 6 months. Secondary outcomes for these analyses included measures of the modified Rankin Scale, mood, cognition, overall health status, fatigue, health-related quality of life, and safety at 12 months. Results: Adherence to trial medication was for a mean 167 (SD 48) days and similar between randomized groups. At 12 months, the distribution of modified Rankin Scale categories was similar in the fluoxetine and placebo groups (adjusted common odds ratio, 0.93 [95% CI, 0.76–1.14]; P =0.46). Compared with placebo, patients allocated fluoxetine had fewer recurrent ischemic strokes (14 [2.18%] versus 29 [4.55%]; P =0.02), and no longer had significantly more falls (27 [4.21%] versus 15 [2.35%]; P =0.08), bone fractures (23 [3.58%] versus 11 [1.72%]; P =0.05), or seizures (11 [1.71%] versus 8 [1.25%]; P =0.64) at 12 months. Conclusions: Fluoxetine 20 mg daily for 6 months after acute stroke had no delayed or sustained effect on functional outcome, falls, bone fractures, or seizures at 12 months poststroke. The lower rate of recurrent ischemic stroke in the fluoxetine group is most likely a chance finding. Registration: URL: http://www.anzctr.org.au/ ; Unique identifier: ACTRN12611000774921.
Published: 2021

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