RESUMEN
Gedryf deur die totale koste van eienaarskap, handel en tegnologiemededinging tussen die Verenigde State van Amerika en China, en die COVID-19-pandemie, ondergaan wereldwye voorsieningskettings 'n groot herstrukturering wat binnekort die besigheid en ekonomie oor die hele wereld sal transformeer. Onlangs het voorsieningskettings met end-totend-integrasie vir premium landbouvoedselprodukte as 'n nuwe sakemodel na vore gekom. Hierdie artikel ondersoek hoe hulle moet funksioneer, en identifiseer die voorsieningskettingstruktuur / - produksie / - besigheids toestande wat nodig is vir hul ontwikkeling. Ons bestudeer 'n premium voorsieningsketting wat bestaan uit baie klein plase wat piesangs van topgehalte produseer, een integreerfirma en duisende kleinhandelwinkels. Ons gebruik industrie- en besigheidsdata om 'n meervoudige roete-vloei-gebaseerde model te kalibreer van plase tot integreerder tot kleinhandelaars/markte. Ons gebruik dan sensitiwiteitsanalise om die belanghebbendes se besluitgedrag te analiseer, en identifiseer en bespreek drie hoofbesluitkwessies: kontrakboerdery, kapasiteitstrategie en besigheidsrobuustheid. Vir kontrakspesifikasie is kontraktering op prys, eerder as hoeveelheid, bevorderlik om die belange van die belanghebbendes te koördineer. Vir die kapasiteitstrategie moet die integreerder rou produkte van baie klein plase verkry eerder as minder groot plase. Vir besigheid se robuustheid kan die integreerder steeds robuuste winste verseker deur sy produkaanbod te reguleer wanneer nuwe mededingers ontstaan of vraag verander. Hierdie resultate word onder verskeie scenario's getoets om die impak van insetparameters of voorsieningskettingstruktuur te bepaal, en word geverifieer met 'n bedryfspraktisyn wat ondervinding het met veelvuldige premium agri-voedselprodukte. Die resultate, tesame met die vloeimodel en sy berekeningsprosedure, kan deur voorsieningskettingbeplanners gebruik word om nuwe besighede te begin of om kleinhandelaars se premium produkaanbiedinge in mededingende besigheidsomgewings te onderskei.Alternate :Driven by the total cost of ownership, US-China trade and technology competition, and the COVID-19 pandemic, global supply chains are undergoing a major restructuring that will soon transform business and economics all over the world. Recently, supply chains with end-to-end integration for premium agri-food products have emerged as a new business model. This paper examines how they should function, and identifies the supply chain structure/production/business conditions necessary for their development. We study a premium supply chain consisting of many small farms that produce top-quality bananas, one integrator firm, and thousands of retail stores. We use industry and business data to calibrate a multiple-route flow-based model from farms to integrator to retailers/markets. We then use sensitivity analysis to illuminate the stakeholders' decision behaviour, and identify and discuss three main decision issues: contract farming, capacity strategy, and business robustness. For contract specification, contracting on price rather than quantity is conducive to coordinating the interests of the stakeholders. For the capacity strategy, the integrator should source raw products from many small farms rather than fewer large farms. For business robustness, the integrator could still ensure robust profits by regulating its product supply when new competitors arise or demand changes. These results are tested under various scenarios to determine the impact of input parameters or supply chain structure, and are verified with an industry practitioner who has experience with multiple premium agri-food products. The results, along with the flow model and its computation procedure, could be used by supply chain planners to start new businesses or to differentiate retailers' premium product offerings in competitive business environments.
RESUMEN
Decent internet usage rates make Taiwan a case to succeed in virtual care practices during the pandemic. We investigate how internet usage rates across regions condition Taiwan's varieties, concerns, and expectations for virtual care. During the semi-lockdown, we fielded an online census of the managers of care programs for people with disabilities (PWDs). 70% of the PWDs care programs provide three to four virtual care types. Concerned about the PWDs' degeneration and their family caregivers' capacity, respondents expect empowerment of their programs. High internet usage rates facilitate more diversified virtual care, fewer concerns, and various expected assistance. © 2023 Department of Social Work, National University of Singapore, Singapore.
RESUMEN
In the wake of the COVID-19 pandemic, many studies have begun to address what some refer to as the "new normal,” comprising hybrid arrangements of employees working from home and working at the office with varying schedule arrangements. While many of the studies to date addressed how employees coped with work-from-home, we sought to investigate how employees dealt with a transition to the new normal of hybrid arrangements. To shed light on this topic, we conducted a survey-based case study at one office location of a large, multinational software corporation. The site sought to transition employees fully working from home to working two days remotely and three predefined days in their shared workspace. Our survey results indicated a substantial decline in work satisfaction since the beginning of this transition, which can be explained by diverse work preferences. Furthermore, some software developers felt frustrated during this transition time;they described challenges they underwent and proposed potential solutions. In this paper, we present our lessons learned in this case study and describe some actionable recommendations for practitioners facing such transitions. © 2023 IEEE Computer Society. All rights reserved.
RESUMEN
The use of virtual reality (VR) as a medium for education can contribute to the learning efficiency of students. This study aimed to assess the effectiveness of VR application in advanced biology courses, specifically in enhancing the comprehension and understanding of high school students toward the topic of human organs and other related systems. Four high school teachers and 138 high school students selected from three separate classes participated in this study. To determine the impact of VR education from both teachers' and students' perspectives, learning satisfaction and the effectiveness of instructional material were assessed with questionnaires. We found that from teachers' perspective, VR was an efficient teaching tool that enhanced students' attention and contributed to the improvement of learning outcomes. From the students' perspective, they were willing to use VR instructional material and were satisfied with this learning method. Applying VR technology in the classroom should be encouraged. However, some students identified dizziness as a concern when VR glasses were used for longer periods of time. Therefore, we suggest that VR glasses be limited to 30 minutes of use at a time. © 2023 National Association of Biology Teachers, Inc. All rights reserved.
RESUMEN
With the Covid-19 raging around the world, economic and social problems are facing a considerable impact. Many patients who have undertaken rehabilitation treatment in hospitals must be forced to rehabilitate at home. To solve the problems, this paper presents a rehabilitation assistance system combining artificial intelligence and humanoid robots. First, the humanoid robot can play the role of a physical therapist, demonstrating rehabilitation movements and leading patients to rehabilitate. Second, OpenPose model is used to track the human skeleton during rehabilitation. Finally, we compare with the pre-set standard actions, calculate their similarity, and then convert them into quantitative scores for subsequent recording and tracking. The proposed method is verified on the COCO 2017 dataset and self-collected LSVT dataset, and achieves an average precision of 85.5% for skeleton detection. Experiment results from 9 subjects show that the more the non-standard actions are, the lower the score is. This proved that the presented work can provide an effective monitoring method for home rehabilitation. © 2022 IEEE.
RESUMEN
Disulfiram is an FDA-approved drug that has been used to treat alcoholism and has demonstrated a wide range of anti-cancer, anti-bacterial, and anti-viral effects. In the global COVID-19 pandemic, there is an urgent need for effective therapeutics and vaccine development. According to recent studies, disulfiram can act as a potent SARS-CoV-2 replication inhibitor by targeting multiple SARS-CoV-2 non-structural proteins to inhibit viral polyprotein cleavage and RNA replication. Currently, disulfiram is under evaluation in phase II clinical trials to treat COVID-19. With more and more variants of the SARS-CoV-2 worldwide, it becomes critical to know whether disulfiram can also inhibit viral entry into host cells for various variants and replication inhibition. Here, molecular and cellular biology assays demonstrated that disulfiram could interrupt viral spike protein binding with its receptor ACE2. By using the viral pseudo-particles (Vpps) of SARS-CoV-2, disulfiram also showed the potent activity to block viral entry in a cell-based assay against Vpps of different SARS-CoV-2 variants. We further established a live virus model system to support the anti-viral entry activity of disulfiram with the SARS-CoV-2 virus. Molecular docking revealed how disulfiram hindered the binding between the ACE2 and wild-type or mutated spike proteins. Thus, our results indicate that disulfiram has the capability to block viral entry activity of different SARS-CoV-2 variants. Together with its known anti-replication of SARS-CoV-2, disulfiram may serve as an effective therapy against different SARS-CoV-2 variants.
RESUMEN
A financial plan is crucial due to inflation, retirement, insurance, etc., and many people choose stock trading as one part of their overall investment portfolio. Recently, the COVID-19 pandemic has affected the economy and has had a significant impact on the stock market. The task of optimizing the portfolio to have a stable return and lower its overall risk becomes an important and emerging topic in today’s stock market. Therefore, this paper proposes a novel weighted portfolio optimization model based on the trend ratio and emotion index to comprehensively consider the volatility of the portfolio and more accurately evaluate the performance of portfolios than the classical indicator, the Sharpe ratio. Then, global-best guided quantum-inspired tabu search with a self-adaptive strategy and quantum-NOT gate (ANGQTS) which has better search ability than traditional optimization algorithm, is proposed to construct portfolios with stable upside trends efficiently and automatically. In order to dynamically suit such changeable stock markets, the proposed model adopts the sliding window mechanism. The proposed method is applied to the U.S. stock market. Compared with traditional methods and Dow Jones Industrial Average index, the proposed model shows more promising experimental results. Moreover, the proposed method derives better performance in both the downward crisis at the first outbreak of COVID-19 and the soaring trend in the stock market. IEEE
RESUMEN
Background The use of masks is an effective measure to prevent severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) infection;however, mask reuse is not recommended. Studies examining the factors associated with mask reuse during the coronavirus disease (COVID-19) pandemic are limited. This nationwide survey aimed to determine the prevalence and factors associated with mask reuse among Taiwanese citizens during the pandemic. Methods From May 18 through May 31, 2020, a computer-assisted telephone interview system was used to randomly select Taiwanese citizens who were interviewed for COVID-19 preventive behaviors and knowledge on the usage of masks. Multivariate logistic regression was used to identify factors associated with mask reuse during the COVID-19 pandemic. Moreover, generalized estimating equations (GEE) were used to analyze the rate of mask reuse among participants before and during the pandemic. Results For a total of 1,075 participants, the overall mean age was 57.4 years, and 82.2% of participants reported mask reuse during the COVID-19 pandemic. After controlling for other covariates, participants who had a greater knowledge on mask usage or had a high supply of masks were less likely to reuse masks during the pandemic. GEE analysis showed that compared with the participants' mask wearing behaviors before the COVID-19 pandemic, they were more likely to reuse masks during the pandemic. Conclusions The rate of mask reuse among the general population during the pandemic was significantly higher than that before the pandemic. Individuals were less likely to reuse masks if they had adequate knowledge on mask usage or had a high supply of masks. Since mask reuse is associated with a higher risk of COVID-19 due to the possibility of wearing SAS-CoV-2-contaminated masks, it is imperative to educate people on the correct usage of masks. Further, the government should provide sufficient masks to the general population to decrease the reuse of masks. Key messages Mask reuse increased during the COVID-19 pandemic due to the shortage in supply. It is imperative to educate people about the correct usage of masks.