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As a theoretically rigorous and accurate method, FEP-ABFE (Free Energy Perturbation-Absolute Binding Free Energy) calculations showed great potential in drug discovery, but its practical application was difficult due to high computational cost. To rapidly discover antiviral drugs targeting SARS-CoV-2 Mpro and TMPRSS2, we performed FEP-ABFE–based virtual screening for ∼12,000 protein-ligand binding systems on a new generation of Tianhe supercomputer. A task management tool was specifically developed for automating the whole process involving more than 500,000 MD tasks. In further experimental validation, 50 out of 98 tested compounds showed significant inhibitory activity towards Mpro, and one representative inhibitor, dipyridamole, showed remarkable outcomes in subsequent clinical trials. This work not only demonstrates the potential of FEP-ABFE in drug discovery but also provides an excellent starting point for further development of anti-SARS-CoV-2 drugs. Besides, ∼500 TB of data generated in this work will also accelerate the further development of FEP-related methods. © The Author(s) 2022.
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Modular construction has been implemented to achieve shorter project duration, lower cost, and higher productivity for construction projects. This option is especially helpful to reduce on-site activities and interaction under and after COVID impact. However, additional planning and support in engineering, procurement, and delivery are required to facilitate modular construction. Unreliable prefabrication and delivery can deteriorate subsequent activity productivity and overall project performance. This research aims to develop an automatic incentive—penalty enforcement system for modular construction based on the situation awareness of delivery tracking. The research selected a high-rise residential project in Singapore as a case study. The project used modular construction for making and installing 120 Prefabricated Bathroom Units. Based on the empirical data of delivery, on-site lifting, and installation, we built STROBOSCOPE simulation models to understand the impact on productivity and schedule from five scenarios at various delivery reliability levels of the Prefabricated Bathroom Units. Smart Contract rules were developed based on the impact. A Blockchain platform was established so that once a real-time delivery is identified and the information is entered into the Smart Contract, the associated incentive or penalty can be triggered instantly. The Smart Contract based incentive—penalty enforcement system will be beneficial for construction projects to monitor and track modular delivery, motivate reliable supply, reduce payment disputes, and improve productivity. © 2023, Canadian Society for Civil Engineering.
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This study investigates the impacts of crude oil-market-specific fundamental factors and financial indicators on the realized volatility of West Texas Intermediate (WTI) crude oil price. A time-varying parameter vector autoregression model with stochastic volatility (TVP-VAR-SV) is applied to weekly data series spanning January 2008 to October 2021. It is found that the WTI oil price volatility responds positively to a shock in oil production, oil inventories, the US dollar index, and VIX but negatively to a shock in the US economic activity. The response to the EPU index was initially positive and then turned slightly negative before fading away. The VIX index has the most significant effect. Furthermore, the time-varying nature of the response of the WTI realized oil price volatility is evident. Extreme effects materialize during economic recessions and crises, especially during the COVID-19 pandemic. The findings can improve our understanding of the time-varying nature and determinants of WTI oil price volatility. © 2022
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The COVID-19 pandemic has forced people to change many behaviours, including physical distancing, hygiene measures and lifestyles. This study aimed to evaluate the indirect impact of the COVID-19 pandemic on the incidence of non–COVID-19 infections and medical care costs/visits using health insurance claims. This was an observational study using patient-based administrative claims covering approximately 800,000 insured persons and their dependents in the Mie Prefecture in Japan. This study identified non–COVID-19 infectious disease incidences, number of outpatient visits and healthcare costs between 2017 and 2021. Each year was divided into quarters. The adjusted incidence rate ratios (IRRs) during the pandemic (January 2020 to September 2021) and during the prepandemic period (January 2017 to December 2019) were determined using Poisson regression. The adjusted influenza IRRs from April 2020 were close to zero. The incidence of upper respiratory tract infections and bacterial pneumonia was significantly reduced (IRRs range: 0.39–0.73 and 0.43–0.84, respectively). Gastrointestinal and urinary tract infection incidences decreased by approximately 30% and 10%, respectively. In contrast, sexually transmitted infections (STIs), including syphilis, gonococcal infection and Chlamydia trachomatis infection, did not decrease during the pandemic but increased significantly between April and June 2021 (adjusted IRR, 1.37;95% confidence interval, 1.18–1.60). The adjusted IRRs for outpatient visits and healthcare costs were 0.86–0.93 and 0.91–0.97, respectively. In contrast to other infections, STIs did not decrease during the COVID-19 pandemic. The IRR of STIs during the pandemic period is an area of public health concern. Appropriate screening and medical consultations are strongly recommended.
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The following article explains the current condition of the photovoltaics sector both in Poland and worldwide. Recently, a rapid development of solar energy has been observed in Poland and is estimated that the country now has about 700,000 photovoltaics prosumers. In October 2021, the total photovoltaics power in Poland amounted to nearly 5.7 GW. The calculated technical potential of photovoltaics in Poland is 153.484 PJ (42.634 TWh). This would cover 26.04% of Poland's electricity needs. The main aim of the article is to assess the level of development of the photovoltaic market in Poland, the genesis of its creation, description of the current situation and determination of the development opportunities. As part of the aim, programs supporting the development of solar energy in Poland have been described and the SWOT analysis has also been performed. The strengths of photovoltaics include high social acceptance and low costs of photovoltaics system operation, while opportunities include rapidly increasing technological efficiency and decreasing cost of solar systems. On the other hand, weaknesses include the high costs of photovoltaics systems and the disparities in the amount of solar energy reaching the market during the year, whereas climate change and the coronavirus pandemic are threats. In 2020, PV became an investment hit in the energy sector and an economic driver in Poland. In the difficult time of two lockdowns caused by the global pandemic, domestic PV made a significant contribution to the maintenance of investment processes in the amount of PLN 9.5 billion and provided Poland with 35 thousand jobs. In 2020, 1.5% of the country's electricity came from PV sources. In 2021, it will be 3.5%, and by 2025, solar energy will provide approx. 10% of Poland's electricity. It is worth examining the development of photovoltaics from a broad and long-term perspective. The spectacular development of photovoltaics in Poland is due to hitting the right time window and reducing technology costs, but most of all, it is based on the cooperation of stakeholders and trust in the regulatory environment. Graphical : [Figure not available: see fulltext.]. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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The main idea of this study is the development of a quadripartitioned neutrosophic relations(properties)-based on decision-making method to recommend the most influential factor that affects energy prices in Colombia during pandemic. For supporting the results, we take some particular cities which are located in Colombia where prices of energy have been affecting before, during and after Covid-19 pandemic. The result provides evidence on the feasibility of the proposed method in recommending the influential factors that affect energy prices. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
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Existing frameworks seek to elucidate the social, political, and commercial determinants of health in order to inform practice, policy, and research that can improve health and reduce health inequities. Each approach has widened the scope of public health practice and research and identified new partners and targets for intervention. But as the public health crises of the past decade have shown, these frameworks have not yet yielded insights that have enabled the public health profession and movement to prevent or overcome dominant threats to global health and health equity. This report explores the value of an integrated framework that combines insights from previous scholarship and practice using the social, political, and commercial determinants of health. It proposes the questions such an integration would need to answer and suggests processes and tasks that could lead to the creation of a blended framework.
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PurposeThe main purpose of this study is to evaluate whether the COVID-19 pandemic has stimulated earnings management among publicly traded companies in Brazil and the USA.Design/methodology/approachThe authors analyzed the above-mentioned effects based on 22,244 observations of Brazilian companies and 139,856 observations of American companies from 1998 to 2020. The proxy used to detect earnings management based on discretionary accruals (DAC) was obtained by using the Modified Jones Model (MJM) (Dechow et al., 1995), with adjustments suggested by Kothari et al. (2005). In accordance with previous studies (e.g. Brown et al., 2015;Enomoto et al., 2015;Galdi et al., 2020;Huang and Sun, 2017;Roychowdhury, 2006), the authors also employed a second proxy to detect earnings management through real activities associated with unusual losses for fixed assets (property, plant and equipment (PPE)).FindingsThe study's findings indicate that the discretionary accruals of Brazilian companies varied in a more accentuated manner during the COVID-19 pandemic, making it possible to deduce that a recent history of economic depression may entail greater incentives for earnings management in an emerging economy. In addition, the authors verified that the effects of the current crisis on earnings management proxies denote a signal that is distinct from previous economic crises, which may be interpreted as an attempt to postpone the effects of the pandemic on financial statements, especially those of the Brazilian capital markets.Originality/valueUnlike previous crises, this pandemic has led to direct restrictions on a wide variety of economic segments rather than indirect contagion due to anomalies in the financial markets, making it a phenomenon with the characteristics of a quasi-natural experiment for studies related to the quality of accounting information. Considering that both Brazil and the USA provide an opportune economic contrast, given their discrepancies in terms of economic growth over the past two decades, the researchers believe that there is an unusual opportunity to understand how earnings management can be an incentive for managers in environments where crises arose from natural causes.
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In recent years, some phenomena such as the COVID-19 pandemic have caused the autonomous vehicle (AV) to attract much attention in theoretical and applied research. This paper addresses the optimization problem of a heterogeneous fleet that consists of autonomous electric vehicles (AEVs) and conventional vehicles (CVs) in a Business-to-Consumer (B2C) distribution system. The absence of the driver in AEVs results in the necessity of studying two factors in modeling the problem, namely time windows in the routing plan and different compartments in the loading space of AEVs. We developed a mathematical model based on these properties, that was NP-hard. Then we proposed a hybrid algorithm, including variable neighborhood search (VNS) via neighborhood structure of large neighborhood search (LNS), namely the VLNS algorithm. The numerical results shed light on the proficiency of the algorithm in terms of solution time and solution quality. In addition, employing AEVs in the mixed fleet is considered to be desirable based on the operational cost of the fleet. The numerical results show the operational cost in the mixed fleet decreases on average by 57.22% compared with the homogeneous fleet.
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Telemedicine has become fundamental for the challenges posed to healthcare. This set of instruments turns pivotal for facing one of the most relevant emergencies in human history: the COVID-19 pandemic. The multisectoral crisis led to a vigorously sustained adoption of innovations, including telemedicine technology. Telehealth was proven, in this context, to be a relevant tool to reduce healthcare costs, reduce not-needed hospitalizations, and improve the results in health care. Some barriers such as the costs of technologies, patient privacy and technical literacy have slowed down telemedicine adoption. Amidst the COVID-19 era, telemedicine calls for a managerial duty to change healthcare's organizational models. The present work aims to explore the growing literature to illuminate the relationships between telemedicine, innovations and healthcare in the COVID-19 framework. A bibliometric analysis of the existing literature based on 285 published works in 2019–2020 is put forward with the aim to detect the relevant literature, themes and approaches on telemedicine and COVID-19. Making use of community detection on the co-occurrence keywords network, we identify the "semantic cores” in the literature representing the relevant results on critical themes. The sorting implications are important for researchers and policymakers by mapping the existing literature and results in evidence-based analysis. We provide the key communities as the "semantic core” of the publications and results for the considered period. This allows for future research to be oriented towards perduring health policies that could lead to the adoption of telemedicine technologies in a post-pandemic scenario. © 2021
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The article presents the 11th edition of the annual Pharmacy Forecast from the American Society of Health-System Pharmacists (ASHP) and ASHP Foundation. The forecast addresses various topics, including lessons learned from the pandemic, regaining trust in public health and addressing disparities in health care. It discusses the methods used to develop the forecast, the scenarios that may be faced in a post-pandemic era, and the impact of technology on health services.
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The spreading COVID-19 outbreak has wreaked havoc on the world's financial system that raises an urgent need for the re-evaluation of the gold as safe haven for their money because of the unprecedented challenges faced by markets during this period. Therefore, the current study investigates whether different asset class volatility indices affect desirability of gold as a safe-haven commodity during COVID-19 pandemic. Long run and the short run relationship of gold prices with gold price volatility, oil price volatility, silver price volatility and COVID-19 (measured by the number of deaths due to COVID) has been analyzed in the current study by applying ARDL Bound testing cointegration and non linear ARDL approach on daily time series data ranging from January 2020 to Dec 2021. Findings of the study suggest that in the long run, oil price volatility and gold price volatility positively affect the gold prices, whereas the effect of silver price volatility on gold prices is negative in the long run. However in the short run, all the three indices negatively impact the gold prices. In contrast, the impact of COVID-19 is positive both in the short run and in the long run that proves the validity of gold as safe haven asset in the time of the deadly pandemic. The findings of this study have significant implications and offer investors with some indications to hedge their investments by considering the gold's ability of safe haven during this era of pandemic. © 2022 Elsevier Ltd
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We study the effects of COVID-19 intensity on equity market liquidity across U.S. states. We exploit cross-sectional variation in cases and deaths to investigate any association with the deterioration of stock liquidity of firms whose headquarters or operations are in the corresponding state(s). Our motivation stems from several underlying economic channels such as order processing costs, inventory costs, and adverse selection costs. We find strong negative relations between pandemic intensity and various intra-day liquidity measures. Our results are more pronounced for firms operating in states with more stringent containment and health measures and within industries with greater risk exposure.
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This paper investigates the relationship between oil and airline stock returns under different time frequencies. First, we propose an Autoregressive moving average model with mixed frequency exogenous variable to analyse the different impacts of oil on airline stock returns on daily, weekly, and monthly basis. We consistently find a negative oil-airline stock return nexus on a daily basis, but a positive relationship on a weekly basis. While the former supports the economic-based channel, the latter is in line with the market inertia channel. Our findings help explain mixed results reported in the literature. Further, our time frequency connectedness analysis shows that the economic-based channel dominates the market inertia channel since the connectedness is more pronounced in the short-run compared to the medium- and long-run. Our block connectedness results highlight that business models of airline firms can play a significant role in affecting the connectedness, in which the low-cost airlines are more sensitive to the oil price changes. It is worth noting that there are distinguished drivers of the oil-airline stock return nexus in different time frequencies. The drivers also vary between the Global Financial Crisis and the COVID-19 pandemic. Our results are consistent under a battery of robustness checks and deliver important implications to investors, portfolio managers, and executives of airline firms. © 2022 Elsevier B.V.
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We analyze a large-scale survey of small business owners, managers, and employees in the United States to understand the effects of the COVID-19 pandemic on those businesses. We explore two waves of the survey that were fielded on Facebook in April 2020 and December 2020. We document five facts about the impact of the pandemic on small businesses. (1) Larger firms, older firms, and male-owned firms were more likely to remain open during the early stages of the pandemic with many of these heterogeneities persisting through the end of 2020. (2) At businesses that remained open, concerns about demand shocks outweighed concerns about supply shocks though the relative importance of supply shocks grew over time. (3) In response to the pandemic, almost a quarter of the firms reduced their prices with price reductions concentrated among businesses facing financial constraints and demand shocks;almost no firms raised prices. (4) Only a quarter of small businesses had access to formal sources of financing at the start of the pandemic, and access to formal financing affected how firms responded to the pandemic. (5) Increased household responsibilities affected the ability of managers and employees to focus on their work, whereas increased business responsibilities impacted their ability to take care of their household members. This effect persisted through December 2020 and was particularly strong for women and parents of school-aged children. We discuss how these facts inform our understanding of the economic effects of the COVID-19 pandemic and how they can help design policy responses to similar shocks. © 2022 INFORMS.
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The common practice worldwide is to trade corporate bonds over the counter (OTC). Conversely, in Israel bonds are traded on an exchange like stocks. We document that during the COVID-19 crisis, trading activity in the Israeli corporate bond market rose sharply despite a significant decrease in liquidity. It occurred without the need for any regulatory intervention. Our findings differ from the evidence on major OTC bond markets, where a liquidity crisis prompt central banks to intervene and ensure market stability. The patterns we document in the Israeli exchange-based bond market resemble to the evidence recorded in exchange-based equity markets worldwide. The findings indicate that trading mechanism may serve as a determinant of financial stability. © 2022 Elsevier Inc.
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Dogs can detect human stress... Children with COVID-19 at higher risk of T1D... ED-ICU not associated with substantially increased costs... Strategies to reduce pediatric deaths by guns... Electronic gaming and pediatric dysrhythmias
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This paper presents a portable, fast and accurate electrochemical impedance spectroscopy (EIS) device with 8-well interdigitated electrode chips for biomarker detection. The design adopts low crest factor multisine signal synthesis at low frequencies (<1 kHz) and single-tone signals at high frequencies (>1 kHz), which significantly increases measurement speed without sacrificing accuracy. In addition, the low excitation amplitude of 10 mV preserves impedance linearity and protects the biosamples. The system achieved an average magnitude accuracy error of 0.30% in the frequency range of interest and it requires only 0.46 s to scan 28 frequency points from 10 Hz to 1 MHz. Experiments were conducted to test the capability to detect antibodies against SARS-CoV-2. Gold nanoparticles bound with protein G (GNP-G) were employed as the conjugated secondary antibody probe to detect anti-SARS-CoV-2 IgG in serum. A highly statistical significance (p = 7×10−6) could be found in the impedance data at 10 kHz. The impedance magnitude alteration caused by the GNP-G of the positive and negative groups were 27.2%±13.6% and 4.1%±1.7%, respectively. The results imply that the proposed system enables rapid COVID-19 antibody biomarker detection. Moreover, the EIS system and GNPs have the potential to be modified to detect other biomarkers. © 2022 The Author(s)
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Previous studies extensively examined the role of accessibility to metro in shaping house prices but largely overlooked the contribution of accessibility by metro. In addition, limited studies examined the moderating effect of COVID-19 on the price effects of to-metro and by-metro accessibility. Based on multilevel hedonic price and quantile regression models, this study scrutinizes the association between to-metro accessibility, by-metro accessibility, and house prices in Chengdu, China, and examines the moderating role of COVID-19 in this association. We show that by-metro accessibility significantly influences house prices. COVID-19 significantly influences the value of to-metro accessibility but marginally affects that of by-metro accessibility. The value of to-metro accessibility is disproportionately affected by the pandemic. Specifically, small or low-priced houses are less affected than big or high-priced houses. In other words, the flattening of the to-metro price gradient is more discernible for big or high-priced houses. The changing preference of residents has also been verified by the decreases in house transaction volume in metro-adjacent areas. © 2022 Elsevier Ltd