An Analysis of Dynamic Correlations among Oil, Natural Gas and Ethanol Markets: New Evidence from the Pre- and Post-COVID-19 Crisis

After the economic shock caused by COVID-19, with relevant effects on both the supply and demand for energy assets, there was greater interest in understanding the relationships between key energy prices. In order to contribute to a deeper understanding of energy price relationships, this paper analyzes the dynamics between the weekly spot prices of oil, natural gas and benchmark ethanol in the US markets. The analysis period started on 23 June 2006 and ended on 10 June 2022. This study used the DMCA cross-correlation coefficient in a dynamic way, using sliding windows. Among the main results, it was found that: (i) in the post-pandemic period, oil and natural gas were not correlated, in both short- and long-term timescales;and (ii) ethanol was negatively associated with natural gas in the most recent post-pandemic period, especially in short-term scales. The results of the present study are potentially relevant for both market and public agents regarding investment diversification strategies and can aid public policies due to the understanding of the interrelationship between energy prices. © 2023 by the authors.

Phages and SARS-CoV-2

The emerging human pathogenic viruses, including the recently emerged severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), have markedly affected the human health and have become a challenge for researchers worldwide. Antibiotic therapy and existing vaccines have reduced the pandemic burden to some extent. However, there is still need for efficient treatment, vaccination, and antiviral agents to control the pandemic. This chapter illustrates the role of bacteriophage in bacterial infections, SARS-COV-2 infected patients, biological activities of phages, phage display method, phages as potential inducers of antiviral immunity, phage-based vaccines, CRISPR and phage-based SARS-CoV-2 vaccines, and possible advantages of phage-based vaccines. It is concluded that phages have considerable breadth in the SARS-CoV-2 pandemic and offer many substantial advantages, such as clearing respiratory bacterial infections, which significantly reduce the burden of mortalities. Phage plays a vital role in triggering antiviral immunity by inducing cytokines such as IFN-α and IL-12. It suggests the role in driving antiviral immunity, triggering TLR3-dependent pattern recognition receptors, inhibiting TNF-driving type I IFN, inducing antiviral immunity through upregulation of the expression of defensin in IL-2, and encouraging a marked upregulation of gene hBD2 that induces virucidal effects, thus playing a key role in anti-SARS-COV-2 immunity. Moreover, phages have been presented as an alternative universal adjuvant-free nano-vaccine platform in which single-phage scaffolds are used to incorporate multiple targets. © 2023 Elsevier Inc. All rights reserved.

Economic Policy Uncertainty, Energy and Sustainable Cryptocurrencies: Investigating Dynamic Connectedness during the COVID-19 Pandemic

The purpose of the research is to explore the dynamic multiscale linkage between economic policy uncertainty, equity market volatility, energy and sustainable cryptocurrencies during the COVID-19 period. We use a multiscale TVP-VAR model considering level (EPUs and IDEMV) and returns series (cryptocurrencies) from 1 December 2019 to 30 September 2022. The data are then decomposed into six wavelet components, based on the wavelet MODWT method. The TVP-VAR connectedness approach is used to uncover the dynamic connectedness among EPUs, energy and sustainable cryptocurrency returns. Our findings reveal that CNEPU (USEPU) is the strongest (weakest) NET volatility transmitter. IDEMV is the most consistent volatility NET transmitter among all uncertainty indices across the original returns and wavelet scales (D1~D6). Energy cryptocurrencies, i.e., GRID, POW and SNC, are more likely to receive volatility spillovers than sustainable cryptocurrencies during a turbulent period (COVID-19). XLM (XNO) is least (most) affected by volatility spillover in system-wide connectedness, and XLM (ADA and MIOTA) showed a consistent (heterogeneous) non-recipient behavior across the six wavelet (D1~D6) scales and original return series. This study uncovers the dynamic connectedness across multiscale, which will support investors considering different investment horizons (D1~D6). © 2023 by the authors.

Natural products and SARS-CoV-2

Natural products have been proven to be the source of many antiviral drugs in the past. History has a bunch of natural products used as traditional medicine, therapies, mixtures, and oils. However, there are many bioactive natural products that need to be evaluated against severe acute respiratory syndrome (SARS-CoV-2) to curb the ongoing pandemic. Several plants and fungal-derived natural products are extensively reported with antiviral activities against SARS-CoV-2. In vitro, preliminary study assays and computational studies revealed several antiviral drugs from natural fungal compounds, including cordycepin isolated from Cordyceps militaris fungi. Polyphenolic compounds isolated from the Broussonetia papyrifera plant showed promising antiviral activity against SARS CoV-2 in in silico studies. Two alkaloid compounds, 10-hydroxyusambarensine and cryptoquindoline isolated from African medicinal plants, inhibited the main protease (Mpro) of SARS CoV-2. At the start of the COVID-19 pandemic, FDA approved the emergency use of chloroquine against SARS CoV-2;chloroquine is a derivative of alkaloid. The development of modern technologies has streamlined the discovery of new drugs from natural products. Gas chromatography–mass spectrometry, infrared radiation, nuclear magnetic resonance, high-performance thin-layer chromatography, and high-performance liquid chromatography and other high output technologies should be available for the structural interpretation and distinguishability of prudent lead molecules © 2023 Elsevier Inc. All rights reserved.

A New Mathematical Model of COVID-19 with Quarantine and Vaccination

A mathematical model revealing the transmission mechanism of COVID-19 is produced and theoretically examined, which has helped us address the disease dynamics and treatment measures, such as vaccination for susceptible patients. The mathematical model containing the whole population was partitioned into six different compartments, represented by the SVEIQR model. Important properties of the model, such as the nonnegativity of solutions and their boundedness, are established. Furthermore, we calculated the basic reproduction number, which is an important parameter in infection models. The disease-free equilibrium solution of the model was determined to be locally and globally asymptotically stable. When the basic reproduction number (Formula presented.) is less than one, the disease-free equilibrium point is locally asymptotically stable. To discover the approximative solution to the model, a general numerical approach based on the Haar collocation technique was developed. Using some real data, the sensitivity analysis of (Formula presented.) was shown. We simulated the approximate results for various values of the quarantine and vaccination populations using Matlab to show the transmission dynamics of the Coronavirus-19 disease through graphs. The validation of the results by the Simulink software and numerical methods shows that our model and adopted methodology are appropriate and accurate and could be used for further predictions for COVID-19. © 2022 by the authors.

Measuring Determinants of Environmental Performance during COVID-19: Evidence from the Healthcare Sector

PURPOSE: The current study aims to investigate the role of green human resource management (GHRM) (i.e., green competence building, green motivation enhancement, and green employee involvement) practices in enhancing employee environmental performance in the health care sector during the COVID-19 pandemic. DESIGN/METHODOLOGY/APPROACH: Data were collected from hospital staff (N=350) working in different private and public hospitals of China. Structural equational modeling-partial least squares (PLS-SEM) modelling was used to test the proposed model based on the respondents’ data. FINDINGS: The study results support the relationship between GHRM practices and environmental performance directly, and through employees’ green attitudes during COVID-19. The study results also extend this support to the negative moderating role of perceived personal inconvenience on the relationship between GHRM practices and environmental performance. © 2022, World Association for Sustainable Development. All rights reserved.

Economic policy uncertainty and cryptocurrency market as a risk management avenue: A systematic review

Cryptocurrency literature is increasing rapidly nowadays. Particularly, the role of the cryptocurrency market as a risk management avenue has got the attention of researchers. However, it is an immature asset class and requires gaps in current literature for future research directions. This research provides a systematic review of the vast range empirical literature based on the cryptocurrency market as a risk management avenue against economic policy uncertainty (EPU). The review discovers that cryptocurrencies have mixed connectedness patterns with all national EPU therefore, the risk mitigation ability varies from country to country. The review finds that heterogeneous correlation patterns are due to the dependence of EPU on the policies and decisions usually taken by regulatory authorities of a particular country. Additionally, heterogeneous EPU requires heterogeneous solutions to deal with stock market volatility and economic policy uncertainty in different economies. Likewise, the divergent protocol and administration of currencies in the crypto market consequently vicissitudes the hedging and diversification performance against each economy. Many research lines can benefit investors, policymakers, fund managers, or portfolio managers. Therefore, the authors suggested future research avenues in terms of topics, data frequency, and methodologies. © 2021 by the authors. Submitted for possible open access.

Covid 19 and Challenges in Higher Education: An Empirical Analysis

Over the years the global economy, including India, has undergone a profound change and observed a pioneer role of innovation and technology in every sector. Rapid technological dissemination has seen human or physical touch points being replaced by digital interface. With digitization happening everywhere, it becomes all the more important for the education sector to adapt it in order to keep pace with the challenging world. With the onset of the global pandemic of Covid-19, the only option left with the education sector is to switch to online classes for its smooth and continuous working. This research aims to investigate the challenges that are faced by the students and their level of satisfaction from these classes. The study is based on primary data collected from 700 students of various colleges across Universities in India. The study employs regression models, crosstabs, and various other descriptive statistics for analysis of the data. The findings of the study suggest that the students face a lot of glitches while learning from the online mode of education and would need time to adjust. The research also provides an insight on the scope and the future of online education. © 2021. All Rights Reserved.

The link between fear about COVID-19 and insomnia: Mediated by economic concerns and psychological distress, moderated by mindfulness

This article adds to extant research by examining the relationship between employees' fear of COVID-19 and their suffering from insomnia. It specifically proposes mediating roles of employees' economic concerns and psychological distress and a moderating role of mindfulness in this process. The research hypotheses are tested with survey data collected through two studies among Pakistani-based professionals: 316 in Study 1 and 421 in Study 2. The results pinpoint a salient risk for employees who experience fear during a pandemic crisis, in that the associated economic and psychological hardships make the situation worse by undermining their sleep quality, which eventually could diminish the quality of their lives even further. It also reveals how organizations can mitigate this risk if employees can leverage pertinent personal resources, such as mindfulness. © 2021 Cambridge University Press. All rights reserved.