Evaluation of a Video Generation Method Linking Dance and Scenes

Owing to the impact of COVID-19, the venues for dancers to perform have shifted from the stage to the media. In this study, we focus on the creation of dance videos that allow audiences to feel a sense of excitement without disturbing their awareness of the dance subject and propose a video generation method that links the dance and the scene by utilizing a sound detection method and an object detection algorithm. The generated video was evaluated using the Semantic Differential method, and it was confirmed that the proposed method could transform the original video into an uplifting video without any sense of discomfort. © 2023 SPIE.

The Recover Study: A Cross-Sectional Examination of the Relationship Between Ontario Parents' Resilience and COVID-19-Related Stressors

Resilience, or the ability to bounce back despite facing adversities, may influence parents' abilities to handle the multitude of parent-specific COVID-19-related challenges that have faced them. This cross-sectional study examined (1) the relationship between parents' resilience and their COVID-19-related family stressors;(2) parents' perceptions of their greatest stressors throughout the pandemic;and (3) non-school-related challenges and their resultant impact on parents' and children's resilience. Via an online survey, data was collected from 63 parents (Mage = 37.09;82.54% female). A significant relationship was found between parents' resilience and both their COVID-19-related stressors and family stressors. Parents described stressors challenging their resilience, including impacts on their mental health, managing occupational and educational responsibilities, social isolation, and economic setbacks, while also noting the impacts of social isolation, missing extracurricular activities, and lacking routines for their children. Overall, Ontario parents high in resilience are likely better positioned to adapt to pandemic-related stressors. [ FROM AUTHOR] Copyright of Family Journal is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

GPU libraries speed performance analysis for RCWA simulation matrix operations

Rigorous Coupled Wave Analysis (RCWA) method is highly efficient for the simulation of diffraction efficiency and field distribution patterns in periodic structures and textured optoelectronic devices. GPU has been increasingly used in complex scientific problems such as climate simulation and the latest Covid-19 spread model. In this paper, we break down the RCWA simulation problem to key computational steps (eigensystem solution, matrix inversion/multiplication) and investigate speed performance provided by optimized linear algebra GPU libraries in comparison to multithreaded Intel MKL CPU library running on IRIDIS 5 supercomputer (1 NVIDIA v100 GPU and 40 Intel Xeon Gold 6138 cores CPU). Our work shows that GPU outperforms CPU significantly for all required steps. Eigensystem solution becomes 60% faster, Matrix inversion improves with size achieving 8x faster for large matrixes. Most significantly, matrix multiplication becomes 40x faster for small and 5x faster for large matrix sizes. © 2023 SPIE.

Study on Infection Probabilities of COVID-19 by SIR Network

Severe Acute Respiratory Syndrome Coronavirus 2 Related Diseases (COVID-19) is now one of the most challenging and concerning epidemics, which has been affecting the world so much. After that, countries around the world have been actively developing vaccines to deal with the sudden disease. How to carry out more efficient epidemic prevention has also become a problem of our concern. Unlike traditional SIR disease transmission models, network percolation has unique advantages in disease immune modelling, which makes it closer to reality in the simulation. This article introduces the study of SIR percolation network on infection probabilities of COVID-19, and proposes a method to preventing the spread of disease. © 2022 IEEE.

Reassures Me There Are People Around Who Care about Me: Analyzing Meanings of Support for People with Epilepsy

Aims The study aimed to examine the nature and outcomes of social support for the well-being and quality of life (QoL) of adults with epilepsy. Methods The Australian Epilepsy Longitudinal Survey's 5 th Wave included the Medical Outcomes Study Modified Social Support Survey on four dimensions of social support and the QOLIE-31. Both numerical data and open-ended responses were analyzed quantitatively and qualitatively. A mixed method was used where quantitative analysis used t -tests, analysis of variance and block recursive regression, and qualitative analysis identified themes. Results Three-hundred thirty-two people with epilepsy (PWE) participated. The quantitative component showed that for emotional/informational support being older and living alone were key factors. These as well as household income were important in tangible support. For affectionate support living alone and household income were factors, but only income was a factor for positive social interaction. In addition, only positive social interaction predicted increased QoL. In the qualitative component of the study both positive and negative supports were identified for the emotional/informational supports. Many reported the benefits of having information, although some reported failure to have their needs taken seriously by health professionals or epilepsy associations. Inability to drive was an important feature of negative tangible support as was finding some assistive services unaffordable. Reports of positive social interaction identified being accepted as a person with epilepsy that is the primary concern. Peer support plays a role here. Discussion The findings of factors affecting the four dimensions of support in this study have supported a number of studies. This includes the effects of positive social interaction on QoL. The qualitative analysis supports these results, but it also contributes to deeper understanding of support in the lives of PWE. Conclusion Social support is a particularly important issue for PWE. The results of this study demonstrate the complexities and benefits of obtaining the appropriate forms of support. This survey took place before the coronavirus disease 2019 pandemic and it may well be that this phenomenon affects PWE's support needs. Copyright © 2023. Indian Epilepsy Society. All rights reserved.

Examination of the Effects of COVID-19 on Happiness in Different Geographical Regions with Piecewise Linear Panel Data Models

The COVID-19 pandemic has recently caused the loss of millions of lives, and billions of others have been deeply affected. This crisis has changed the way people live, think about life, and perceive happiness. The aim of this study is to reveal differences between geographical regions by investigating the effect of the happiness variable on different countries during the international COVID-19 pandemic. The primary purpose is to demonstrate how such a pandemic may affect different countries in terms of happiness at the individual level and to identify possible strategies for the future. With this aim, both static and dynamic panel data models were used while applying fixed effects, random effects, and the generalized method of moments (GMM). A basic assumption in panel data models is that the coefficients do not change over time. This assumption is unlikely to hold, however, especially during major devastating events like COVID-19. Therefore, the piecewise linear panel data model was applied in this study. As a result of empirical analysis, pre- and post-COVID differences were seen between different geographical regions. Based on analysis conducted for three distinct geographical regions with piecewise linear models, it was determined that the piecewise random effects model was appropriate for European and Central Asian countries, the piecewise FGLS model for Latin American and Caribbean countries, and the piecewise linear GMM model for South Asian countries. According to the results, there are many variables that affect happiness, which vary according to different geographical conditions and societies with different cultural values.

Video-Based Online Interactive System Using CNN Segmentation Method

In recent years, the COVID-19 has made it difficult for people to interact with each other face-to-face, but various kinds of social interactions are still needed. Therefore, we have developed an online interactive system based on the image processing method, that allows people in different places to merge the human region of two images onto the same image in real-time. The system can be used in a variety of situations to extend its interactive applications. The system is mainly based on the task of Human Segmentation in the CNN (convolution Neural Network) method. Then the images from different locations are transmitted to the computing server through the Internet. In our design, the system ensures that the CNN method can run in real-time, allowing both side users can see the integrated image to reach 30 FPS when the network is running smoothly. © 2023 IEEE.

Supplier selection framework to evade pseudo-resilience and to achieve sustainability in supply chains

PurposeDue to increasing uncertainty in the global business scenario, research on supply chain resilience is gaining significance. The outbreak of the COVID-19 pandemic has accelerated and magnified the issues already pertaining in the supply chain thereby increasing the vulnerabilities in the network. This study attempts to build the concept of pseudo-resilience in supplier selection and evaluation for supply chain sustainability.Design/methodology/approachA combination of multi-criteria decision-making methods AHP and R is adopted, and an integrated method called Combined AHP–R method is used to identify and include the property of pseudo-resilience into supplier selection processes.FindingsThe authors identified various factors contributing to pseudo-resilience considering supplier selection process and found the most important attribute. Using the combined AHP–R method, the suppliers were evaluated, considering the attributes contributing to the pseudo-resilience of supply chains and best supplier was selected.Originality/valueTo the best of our knowledge, this is the first study addressing a supplier selection problem for sustainable supply chains, considering pseudo-resilience. Also, this is the first study to apply the AHP–R method for supplier selection in the resilience or sustainability context.

Qualitative methods in a learning healthcare system: Balancing rigour and the need for rapid analysis and dissemination

Qualitative methods are used to capture stakeholder perspectives within learning healthcare systems (LHS), but there is a need to specify methods that balance rigour and pragmatic approaches to inform quality improvement (QI). Utilizing examples from two QI projects within the OTNY LHS, we illustrate methods and strategies that build team capacity and flexibility to respond to an evolving LHS. Method(s): Qualitative methods were tailored to fit each project's timelines and goals, to inform both practice and research. Tools to facilitate rapid cycle feedback included interview/focus group summary templates, aggregate summaries that synthesize findings by stakeholder group, case matrix templates for rapid extraction and systematic categorization of data along topic areas, and dissemination materials adapted for stakeholder audience and project phases. Strategies to maintain rigour included processes for data reduction and interpretation, a multi-disciplinary approach for analysis, frequent consensus-based meetings, data triangulation, and member checks. Result(s): Rapid cycle approaches yielded interim results that reshaped research questions or identified critical gaps. Case summary analysis exploring the impact of COVID-19 revealed limited information on telehealth challenges amongst OTNY participants, necessitating a shift in recruitment and interview focus. For another project, analytic methods were sequenced to rapidly inventory suggestions from interview summaries on how to enhance OTNY practice to better address racism, while subsequent thematic analysis of transcripts captured participants' experiences of racism for context. Challenges included concurrent alignment of data collection and analysis, tailoring summary templates to maximize utility for rapid analysis, and maintaining flexibility to respond to evolving findings and LHS stakeholder input. Conclusion(s): The diverse methods and strategies illustrated by these projects offer guidance for balancing.

A New Registry for Genetic Diagnosis of Inborn Errors of Immunity within the Military Health System

Genotypic definition of monogenic inborn errors of immunity (IEIs) continues to accelerate with broader access to next generation sequencing, underscoring this aggregated group of disorders as a major health burden impacting both civilian and military populations. At an estimated prevalence of 1 in 1200 individuals, IEIs affect ~8,000 patients within the Military Health System (MHS). Despite access to targeted gene/exome panels at military treatment facilities, most affected patients never receive a definitive genetic diagnosis that would significantly improve clinical care. To address this gap, we established the first registry of IEI patients within the MHS with the goal of identifying known and novel pathogenic genetic defects to increase diagnosis rates and enhance clinical care. Using the registry, a research protocol was opened in July 2022. Since July we have enrolled 75 IEI patients encompassing a breadth of phenotypes including severe and recurrent infections, bone marrow failure, autoimmunity/autoinflammation, atopic disease, and malignancy. Enrolled patients provide blood and bone marrow samples for whole genome, ultra-deep targeted panel and comprehensive transcriptome sequencing, plus cryopreservation of peripheral blood mononuclear cells for future functional studies. We are also implementing and developing analytical methods for identifying and interrogating non-coding and structural variants. Suspected pathogenic variants are adjudicated by a clinical molecular geneticist using state-of-the-art analysis pipelines. These analyses subsequently inform in vitro experiments to validate causative mutations using cell reporter systems and primary patient cells. Clinical variant validation and return of genetic results are planned with genetic counseling provided. As a proof of principle, this integrated genetic evaluation pipeline revealed a novel, candidate TLR7 nonsense variant in two adolescent brothers who both endured critical COVID-19 pneumonia, requiring mechanical ventilation and extracorporeal membrane oxygenation. Our protocol is therefore poised to greatly enrich clinical genetics resources available in the MHS for IEI patients, contributing to better diagnosis rates, informed family counseling, and targeted treatments that collectively improve the health and readiness of the military community. Moreover, our efforts should yield new mechanistic insights on immune pathogenesis for a broad variety of known and novel IEIs.Copyright © 2023 Elsevier Inc.

Nanosponges: As a Dynamic Drug Delivery Approach for Targeted Delivery

Recent advancements in nanotechnology have resulted in improved medicine delivery to the target site. Nanosponges are three-dimensional drug delivery systems that are nanoscale in size and created by cross-linking polymers. The introduction of Nanosponges has been a significant step toward overcoming issues such as drug toxicity, low bioavailability, and predictable medication release. Using a new way of nanotechnology, nanosponges, which are porous with small sponges (below one microm) flowing throughout the body, have demonstrated excellent results in delivering drugs. As a result, they reach the target place, attach to the skin's surface, and slowly release the medicine. Nanosponges can be used to encapsulate a wide range of medicines, including both hydrophilic and lipophilic pharmaceuticals. The medication delivery method using nanosponges is one of the most promising fields in pharmacy. It can be used as a biocatalyst carrier for vaccines, antibodies, enzymes, and proteins to be released. The existing study enlightens on the preparation method, evaluation, and prospective application in a medication delivery system and also focuses on patents filed in the field of nanosponges.Copyright © 2023 The Authors.

Student Satisfaction on Lecturers' Effectiveness, Efficiency and Productivity: Malaysian Education Landscape during the COVID-19 Pandemic

The COVID-19 pandemic has engulfed the whole planet, including the education sector in Malaysia. As a result, the quality of lecturers' work is critical in maintaining the number of students in a university, particularly during a pandemic. Lecturers are put through their paces as they move from traditional to e-learning, learning new ways to teach classes, navigating technology, using new skills, and utilising their own knowledge. This study analysed responses of 892 local students from various officially registered public higher learning institutions throughout Malaysia. Convenient sampling method was used to gather responses through online google forms from the above respondents. The outcomes of this study provided some insight on how Malaysian higher education institutions might redeem themselves by offering better service to the society, particularly during the COVID-19 pandemic.

E-Readiness of the Universities During the COVID-19 Pandemic: Evidence from Bahrain

This study examines the E-readiness of the Universities during the Covid-19 pandemic in the kingdom of Bahrain. The study uses quantitative methods and purposive techniques in collecting data during the Covid-19 pandemic. The data were collected from public and private universities in Bahrain during the Covid-19 pandemic. The public and private universities in Bahrain turned to remote learning during the Covid-19 pandemic. The main results revealed the influential role of Covid-19 on teaching methods and the readiness of the Academic staff during the Covid-19 outbreak. This study highlights the impact of Covid-19 on the Academic staff's readiness in using and learning new skills to disseminate the courses' contents among students. The need of significant investment and IT governance infrastructure is essential for the digital transition in public and private universities in Bahrain. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

An MCDM Approach to Assessing Influential Factors on Healthcare Providers' Safe Performance during the COVID-19 Pandemic: Probing into Demographic Variables

This study assessed the influence of occupational stress, individual resilience, and organizational resilience on the safety performance of healthcare providers during the COVID-19 pandemic. Demographic variables including age, work experience, and sex were explored. Data were collected from 344 healthcare providers employed at a teaching hospital. The entropy method and the multi-criteria decision-making (MCDM) method were used to examine the influence of occupational stress, individual resilience, and organizational resilience on the safe performance of healthcare providers. The results of the entropy method showed that organizational resilience was the most influential factor in the safe performance of older healthcare providers. In contrast, individual resilience was the most significant factor in enhancing the safety performance of younger healthcare providers. Analyses of work experience indicated that individual resilience was the most influential factor in the safe performance of less experienced healthcare providers. Gender-based analysis revealed that individual resilience had a major effect on the safety performance of both women and men. The findings of this study could assist managers in improving the performance of the healthcare sector during pandemics by using and implementing resilience concepts at both the individual and organizational levels.

Key supply chain strategies for post-COVID-19 recovery: evidence from an Indian smart furniture industry

PurposeSmart furniture is an essential part of research that has been designed to best complement easy and safe human interaction. The purpose of smart furniture is to save the space of the house and make the products unique, awesome and safe, functional, strong and also make it works better so the people can live better with it. This research aims to explore the key supply chain strategies implemented by the Indian smart furniture industry to reduce the impact of a post-COVID-19 pandemic.Design/methodology/approachThis work utilized a case study and conducted semi-structured interviews with the top leadership of the smart furniture manufacturing industry to explore key supply chain strategies to reduce the influence of the post-COVID-19 pandemic. Additionally, key supply chain strategies have been analyzed using a multi-criteria decision-making technique known as grey relational analysis (GRA) to determine their ranking significance in the smart furniture industry.FindingsThe results of this study discovered that "Inventory-Categorization” is essential in ensuring business continuity during the COVID-19 pandemic and helps reduce the amount of stock they have on hand. It enhanced the opportunity for employees to properly focus on their work and an opportunity for better work-life balance. The results of the study can also help supply chain stakeholders in their establishment of critical strategies.Research limitations/implicationsThe implications of this research work help the Indian furniture industry to make supply chain investment decisions that benefit the organization to sustain itself.Originality/valueThis is the first study to explore key supply chain strategies for the post-COVID-19 era. This work will assist managers and practitioners in helping the organization decide which supply chain strategies are more critical to the betterment of the organization.

Where is science heading? The main challenges before today's scientists?

Anecdotal and historical accounts of science suggest that in earlier times, researchers pursued science more as a hobby at their own pace with support and encouragement from patrons and communities. This leads to inequality in scientific research, where some fields and researchers may have an easier time obtaining funding and resources, while other fields and researchers may lack this support, making it difficult to conduct meaningful research. Progress of science needs efforts from the researchers with a poly-disciplinary mindset as well as mono-disciplinary strengths.[[5]] The role of science is evident to everyone from the recent example, i.e., protecting eight billion people from the devastating effects of COVID-19 pandemic. Millions of researchers are now pursuing science as opposed to thousands and hundreds of researchers in the earlier periods of science. [Extracted from the article] Copyright of Drying Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Survival of Covid-19 Patients with Hypertension

Background: Coronavirus Disease-2019 (COVID-19) is an infectious disease caused by SARS-CoV-2 virus. Severity of this disease influenced by old age, sex, comorbidities, and other factors. Hypertension and type 2 diabetes mellitus are the most common comorbidities in COVID-19 patients that cause high morbidity and mortality. Objective(s): To analyze the survival of COVID-19 patients with hypertension comorbidity and compare it between diabetes mellitus and non-diabetes mellitus group. Method(s): This retrospective, descriptive study included COVID-19 patients with hypertension comorbidity at Internal Medicine ward Dr. Soetomo Hospital Surabaya from May 2020 to December 2021. Data on age, sex, hypertension, diabetes mellitus type 2, symptoms, vital signs, laboratory finding, length of stay, and outcome were taken from medical records and we carried out kaplan-meier method and log rank test by using SPSS. Result(s): This study obtained 698 sample of confirmed COVID-19 patients and after applying exclusion criteria there were 174 patients with hypertension comorbidity. Most patient were female (60.3%) and age 51-60 years (38.5%). The most common symptoms were shortness of breath (62.1%) and cough (50.6%). There were 50 hypertension and 79 non-hypertension patients died and Survival analysis showed a significant statistical difference between both groups (p=0.042). From 50 deceased hypertensive patients, there are 36 and 14 hypertensive patients with and without diabetes mellitus respectively but survival analysis showed a non-significant statistical difference between both groups (p=0.081) Conclusion(s): There is significant statistical difference in survival analysis in patients with hypertension. We should be aware about COVID-19 patients with hypertension.

Project transition to the digital Middle Ages via COVID-19 pattern

The analysis of current trends in the implementation of effective socio-economic solutions and their development under the influence of COVID-19 is made. The prospects of using innovative and telecommunication technologies, robotics, big data processing methods and knowledge management methods in the formation and management of global economic clusters were noted. The clustering of delivery robots under pandemic conditions by methods of machine learning was carried out. The peculiarities of COVID-19 assessment as the main formative factor influencing socio-economic decision-making on a global scale are disclosed. The necessity and possible consequences of adopting and implementing new decisions designed to minimize the negative effects of COVID-19 on Russian and global economies are discussed. It is noted that the design and development of innovations in the system of management and transfer of knowledge is an indispensable condition for the successful development of future socio-economic relations. On the basis of the obtained results conclusions are made about the background of the applied solutions, about the vector of their direction and makes it clear what should be paid special attention to when assessing the current situation in society and determine which solutions are most effective and how the social order should be transformed to successfully withstand the new challenges. © 2023 SPIE.

The tactile dimension: a method for physicalizing touch behaviors

Traces of touch provide valuable insight into how we interact with the physical world. Measuring touch behavior, however, is expensive and imprecise. Utilizing a fluorescent UV tracer powder, we developed a low-cost analog method to capture persistent, high-contrast touch records on arbitrary objects. We describe our process for selecting a tracer, methods for capturing, enhancing, and aggregating traces, and approaches to examining qualitative aspects of the user experience. Three user studies demonstrate key features of this method. First, we show that it provides clear and durable traces on objects representative of scientific visualization, physicalization, and product design. Second, we demonstrate how this method could be used to study touch perception, by measuring how task and narrative framing elicit different touch behaviors on the same object. Third, we demonstrate how this method can be used to evaluate data physicalizations by observing how participants touch two different physicalizations of COVID-19 time-series data. © 2023 ACM.

The Relationship of SEDS, Food Intake and Work Engagement among Telecommuting Employees of the Education Sector during the COVID-19 Pandemic: A Mixed Method Study

Due to COVID-19, the shift to telecommuting became a widely used work set-up to maintain economic balance. This work set up is associated with risks to employees' wellness. As prevention to the risks, employees must be provided with ways to understand the telecommuting attributes. In relation, this study targets in understanding the links between the socio-economic demographic status, work engagement, and food intake of the education sector's tele-employees. The 110 samples are gathered from the Senior High school Department using convenience sampling, an online survey, and the mixed method. ANOVA and multi-linear regression are used as statistical treatments. The study found that the older generation with higher Income is more likely linked with higher work engagement. The younger generation, low-income earners, and males are inclined more toward unhealthy foods as compared to their counterparts. Low-income earners perceived that their work engagement falls under the category that energy to work is at a bare minimum level. The participants' education attainment revealed significance with energy-giving or carbohydrate-source foods. The qualitative data highlighted job position was perceived with a link to food intake and work engagement. Unhealthy food consumption is perceived with a beneficial association with work engagement, although it is suggested for further investigation. With these findings, the education sector's stakeholders, nutrition, mental health professionals, and future researchers would mainly benefit from this study for intervention generation. © 2023 ACM.