-
Erickson Vogel posted an update 6 months, 3 weeks ago
06% population coverage. These identified peptides can be employed further for peptide analysis and can be used as a peptide or poly-epitope candidates for therapeutic vaccine studies to treat HPV-associated cancers.Using the 2012-2013 American Time Use Survey, I show that both “who” people spend time with and “how” they spend it affect their life satisfaction, adjusted for numerous demographic and economic variables. Life satisfaction among married individuals increases most with additional time spent with one’s spouse. Among singles, satisfaction decreases most as more time is spent alone. Additional time spent sleeping or TV-watching reduces satisfaction, while longer usual workweeks and higher incomes increase it. Nearly identical results are shown using the 2014-2015 British Time Use Survey. The US estimates are used to simulate the impacts of Covid-19 lock-downs on life satisfaction.The design of supply chain networks (SCNs) aims at determining the number, location, and capacity of production facilities, as well as the allocation of markets (customers) and suppliers to one or more of these facilities. This paper reviews the existing literature on the use of simulation-optimization methods in the design of resilient SCNs. From this review, we classify some of the many works in the topic according to factors such as their methodology, the approach they use to deal with uncertainty and risk, etc. The paper also identifies several research opportunities, such as the inclusion of multiple criteria (e.g., monetary, environmental, and social dimensions) during the design-optimization process and the convenience of considering hybrid approaches combining metaheuristic algorithms, simulation, and machine learning methods to account for uncertainty and dynamic conditions, respectively.A pneumonia of unknown causes, which was detected in Wuhan, China, and spread rapidly throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands of people have lost their lives to this disease. Its negative effects on public health are ongoing. In this study, an intelligence computer-aided model that can automatically detect positive COVID-19 cases is proposed to support daily clinical applications. The proposed model is based on the convolution neural network (CNN) architecture and can automatically reveal discriminative features on chest X-ray images through its convolution with rich filter families, abstraction, and weight-sharing characteristics. Contrary to the generally used transfer learning approach, the proposed deep CNN model was trained from scratch. Instead of the pre-trained CNNs, a novel serial network consisting of five convolution layers was designed. This CNN model was utilized as a deep feature extractor. The extracted deep discriminative features were used to feed the machine learning algorithms, which were k-nearest neighbor, support vector machine (SVM), and decision tree. The hyperparameters of the machine learning models were optimized using the Bayesian optimization algorithm. The experiments were conducted on a public COVID-19 radiology database. The database was divided into two parts as training and test sets with 70% and 30% rates, respectively. As a result, the most efficient results were ensured by the SVM classifier with an accuracy of 98.97%, a sensitivity of 89.39%, a specificity of 99.75%, and an F-score of 96.72%. Consequently, a cheap, fast, and reliable intelligence tool has been provided for COVID-19 infection detection. The developed model can be used to assist field specialists, physicians, and radiologists in the decision-making process. Thanks to the proposed tool, the misdiagnosis rates can be reduced, and the proposed model can be used as a retrospective evaluation tool to validate positive COVID-19 infection cases.The purpose of this study was to investigate the effects of the Spanish confinement for the control of the COVID-19 pandemic on the behavior of pet cats and dogs, and the support that pets provided to their owners. We found that the quality of life of owners was strongly influenced by the lifestyle and emotional effects of the confinement, and that pets provided them with substantial support to mitigate those effects. However, pets showed signs of behavioral change that were consistent with stress, with dogs that had pre-existing behavioral problems being the most affected.During the Spring of 2020, due to the COVID-19 pandemic, many schools of nursing were challenged to change their educational delivery methods from a face-to-face to an online format. This article discusses educational strategies utilized to support clinical competency using an online format for a fundamentals of nursing clinical course. Discussions of regulatory considerations, faculty planning, and teaching pedagogy utilized during this transition are presented. selleck inhibitor The authors also discuss future implications and suggestions for attaining learning objectives for a clinical course using an online format.Currently, food insecurity is a lack of access to enough food for a healthy life that impacts approximately 40 million Americans and 821 million people worldwide. These statistics are expected to rise as a result of the COVID-19 pandemic drastically. Studies show that healthcare and nursing curricula are currently deficient in providing education to help healthcare providers combat food security and provide patient education. The purpose of this article is to discuss a curricular framework that can be implemented in both nursing and healthcare curricula to offer appropriate training for food insecurity assessment, care, and patient education.In the context of the global outbreak of COVID-19, there is an urgent need to explore the effects of this pandemic on the mental health of adolescents. The present study aims to adapt and validate a Japanese-version Fear of COVID-19 Scale (FCV-19S) with a sample of adolescent students from Japan. To this end, the Japanese-version FCV-19S, Generalized Anxiety Disorder 7-item scale (GAD-7), Patient Health Questionnaire for Adolescents (PHQ-A), and Perceived Vulnerability to Disease Scale (PVDS) were administered to a sample of Japanese adolescents in schools. The results of statistical analyses revealed that the Japanese-version FCV-19S has a bi-factor model consisting of the emotional response factor and the physiological response factor, with high reliability (emotional α = .71; physiological α = .82). Constructive validity was shown by the significant positive correlation between the GAD-7 and emotional (r = .11) and physiological response (r = .25), between PHQ-A and physiological response (r = .19), and between both factors and the PVDS subscale (rs > .
Please follow & like us :)
All content contained on CatsWannaBeCats.Com, unless otherwise acknowledged,is the property of CatsWannaBeCats.Com and subject to copyright.