Commodity dynamism in the COVID-19 crisis: Are gold, oil, and stock commodity prices, symmetrical?

The current research intends to examine the commodities' dynamism connection with stock prices under the COVID-19 crisis. DCC-GARCH modeling was applied to the data of Asian economies, including China, India, Sri Lanka, Bangladesh, and Pakistan to achieve the study objectives. The study's results indicated a significant connection between gold prices with stock prices and oil prices for all Asian stock markets. The results of the study constructs were symmetrical. In general, the connection grows with the frequency. The lowest frequency months contributed the most to the total relationship, followed by more than 12 months. Overall, gold and oil prices influence the Asian stock markets. These research findings can avoid contagion in times of economic uncertainty. This study also suggested policy implications for better decision-making of key stakeholders. Dynamic coefficient values were about 0.8 of ß2 because nations' internal markets were more closely linked. There are also dynamic relationship factors between crude oil and foreign currency markets, where the correlations in India and China have always been around 0.

Commodity dynamism in the COVID-19 crisis: Are gold, oil, and stock commodity prices, symmetrical?

The current research intends to examine the commodities' dynamism connection with stock prices under the COVID-19 crisis. DCC-GARCH modeling was applied to the data of Asian economies, including China, India, Sri Lanka, Bangladesh, and Pakistan to achieve the study objectives. The study's results indicated a significant connection between gold prices with stock prices and oil prices with stock prices for all Asian stock markets. The results of the study constructs were symmetrical. In general, the connection grows with the frequency. The lowest frequency months contributed the most to the total relationship, followed by more than 12 months. Overall, gold and oil prices influence the Asian stock markets. These research findings can avoid contagion in times of economic uncertainty. This study also suggested policy implications for better decision-making of key stakeholders. Dynamic coefficient values were about 0.8 of β2 because nations' internal markets were more closely linked. There are also dynamic relationship factors between crude oil and foreign currency markets, where the correlations in India and China have always been around 0.

Service innovation in small neighborhood family firms: An advanced approach to enhance employee's performance through social and psychological rewards.

This research study focuses on the employee's job performance of private small firms during the post COVID-19 situation. After the COVID these small family firms try to regain their business, but their efforts are not that much successful. This situation creates a financial crisis in these firms, and they are unable to provide sufficient monetary rewards to their employees. This situation creates unrest among the employees of these small firms. To manage this issue, social rewards and psychological rewards played their role. The study uses a causal research design with a correlational study design in a non-contrived environment. Minimal researcher interference has been assured. AMOS 24 has dealt with the mediation in study design with bootstrap methodology. The study was conducted on 250 employees of different private small family firms across Punjab province using a proportionate stratified sampling technique. A study's finding suggests that top management enhances employee performance in their organizations by introducing the organization's psychological rewards. In contrast, introducing social rewards does not significantly impact employee performance while considering satisfaction and motivation as a mediating variable.

PUBLIC SPENDING AS A NEW DETERMINATE OF SUSTAINABLE DEVELOPMENT GOAL AND GREEN ECONOMIC RECOVERY: POLICY PERSPECTIVE ANALYSIS IN THE POST-COVID ERA

Green economy talks about combing final mechanisms that have ecological and macroeconomic system gains. Likewise, this research piece examined the effects of increased spending on fiscal policies and tightening fiscal policies concerning greening the economic activity as the globe reclaims itself from the COVID-19 in China. Analysis was done applying the China longitudinal data for the period 2008–2018. We utilized the ordinary least square as well as the quantile regression equation to meticulously approximate the influences of increased fiscal spending policies in addition to tightening fiscal policies has on greening the economic system acts as the countries reclaim themselves from the pandemic via a formulated green performance indicator of China nations. The findings indicate a rather exciting pattern by saying a percentage growth in fiscal policy led to nearly 6.5% growth, that is, less than 0.5 growth in the minimum carbon dioxide polluting vaporous from energy suppliers, such as natural gas, and a 0.2% less than 0.01 cuts in the midway carbon dioxide polluting liquefied energy suppliers, that is, hydrocarbon byproducts and a nonsignificant expansion of 0.2%, more significant than 0.5 in the entire case scenario coming from polluting dense energy suppliers, that is, from coal byproduct sources. At the same time, a 1% expansion in fiscal policy reduces cumulative carbon dioxide pollution to 0.2%, less than 0.05%. On this score, the presence of the environmental hypothesis was authenticated in all scenarios analyzed. Furthermore, the causality test indicated a dual movement causative correlation between fiscal policy and carbon dioxide pollution and one-way movement concerning the fiscal policy to energy use. The findings demonstrated that China witnessed a rising switch to green advancement in China;their Green Economic Efficiency increased steadily.

Measuring China’s green economic recovery and energy environment sustainability: Econometric analysis of sustainable development goals

The purpose of this research is to assess China’s sustainable economic recovery and growth through a comparative analysis of China’s global economy following Covid-19. We use the unit root test and generalized method of moments (GMM) to make inferences. The growth scenario is an important consequence of economic recovery, and the study concludes that increased energy use and rising energy costs need greater funding for the energy industry. Green energy financing is urgently required to offset rising production costs of gas and electricity. It is recommended that both Chinese and global financial institutions, banks and finance ministries, take a prominent role in addressing the crisis. This can be achieved by investing in renewable energy to improve sustainable economic recovery, reduce greenhouse gas (GHG) emissions and accelerate economic recovery. This must be carried out over a long period to achieve the intended results. Strategic development goals (SDGs), such as SDG 7 on clean and cheap energy, and SDG 13 on combating climate change, are urged on all nations in both areas.

Recrudescence of severe polyneuropathy after receiving Pfizer-BioNTech COVID-19 vaccine in a patient with a history of eosinophilic granulomatosis with polyangiitis.

A middle age man with a history of diabetes mellitus type 2, hypertension, migraine and eosinophilic granulomatosis with polyangiitis (EGPA) with polyneuropathy in remission presented with paresthesia and motor weakness soon after receiving the Pfizer-BioNTech COVID-19 messanger RNA (mRNA) vaccine. The patient had polyneuropathy 10 years ago secondary to EGPA, which had resolved. EGPA was diagnosed on the basis of typical symptoms and positive sural nerve biopsy. Five days after receiving the first dose of COVID-19 vaccine, he developed heaviness and reduced dexterity of both the upper extremities, which progressed to patchy and asymmetric motor weakness of all four extremities. Given the lack of clear alternative explanation after a thorough work up, recrudescence of underlying asymptomatic polyneuropathy due to a possible reaction to COVID-19 mRNA vaccine was considered although a temporal association with vaccine dose does not prove causality. He was treated with corticosteroids with slow improvement of his symptoms.

An outlook on the development of renewable energy, policy measures to reshape the current energy mix, and how to achieve sustainable economic growth in the post COVID-19 era.

Currently, COVID-19 due to emergence of various variants shows no signs of slowing down and has affected every aspect of life with significant negative impact on economic and energy structures around the world. As a result, the governments around the world have introduced policy responses to help businesses and industrial units to overcome the consequences of compliance with COVID-19 strategies. Our analysis indicates that global energy sector is one of the most severely affected industries as energy price mechanisms, energy demand, and energy supply have shown great uncertainty under these unprecedented economic and social changes. In this regard, we provide brief overview of demand, supply, and pricing structure of energy products as well as policy mechanisms to provide better outlook about how industrial sector can cope with energy consumption in the post pandemic era. We further propose changes in the existing policy mechanisms so that transition towards renewable energy sources under different environmental agreements can be achieved. Moreover, as a reference, we outline major challenges and policy recommendations to ease energy transition from fossil fuels to environmental friendly energy mix.

Does green finance matter for sustainable entrepreneurship and environmental corporate social responsibility during COVID-19?

Purpose>The discourse aimed to investigate green finance practices under the assumptions of several notable climate advisors and speculators in Asia and particularly in Southeast Asia. The study intrigues by considering financial specialists to vent government spending on green restoration plans leading toward green bankable venture openings for the public and private sector. This section distinguishes a few of the green fund components and approaches that can be joined by national and neighborhood governments, essentially in Southeast Asia, into their post-COVID-19 techniques, but are too valuable inputs for domestic commercial banks and private corporates.Design/methodology/approach>It can be defined as a functional type for Cobb Douglas development. ARDL technology is a way of calculating complex forces at the classification level at long-term and short-term stages. This ARDL approach has many advantages and can be implemented when incorporated in level I (0) and level I first (1) with the original variable. Still, it offers robust ability to the outcomes and standardizes the lag, considering the number and sample size used. Pooled mean group (PMG) method is becoming a convenient technique for monitoring data over the period and a good approach for energy impact panels – growth ties for creating links between energy emissions and environmental sustainability and businesses in the nation.Findings>There is a positive partnership between creativity and a sustainable world. Corporations are recommended to uphold the principles of CSR in the development process by introducing environmentally friendly advanced technologies. The main objectives of corporate social responsibility (CSR) are economic growth, environmental sustainability and social justice. Several programs have been established to expand businesses' responsibilities to improve their confessions in sustainable growth. SMEs are a primary source of production of innovative products and technologies. The key concerns of stakeholders and politicians in the new competitive business climate are the protection of environmental sustainability and social responsibility, recognizing factors driving economic development for SMEs.Originality/value>During the COVID-19 era, the prime responsibility of pandemic confronting governments is to spend on help activities (that have been started in earlier phase) and recovery endeavors (yet to start in the situation). Therefore, the governments may devise policies to pool resources from commercial, private, public-private partnerships and other capital market sources. With rising hazard recognitions particularly emerging from at-threat income projections, governments ought to make the correct mechanisms and instruments that can perform this catalytic part of derisking and drawing in such capital. This too can be an opportunity for governments to enhance and execute such financial instruments that offer assistance, quicken their commitments to climate alter beneath the Paris Agreement and the sustainable development goals (SDGs), and thus “build back better” is being progressively voiced over the world.

Prevalence of Nomophobia and an Analysis of Its Contributing Factors in the Undergraduate Students of Pakistan.

Nomophobia (no-mobile-phone phobia) is a relatively new term that describes the growing fear and anxiety associated with being without a mobile phone. Our study aims to determine the prevalence of nomophobia among the undergraduate students of Pakistan, and to determine its correlation with age and gender. It also aims to determine the contributory factors of nomophobia. A cross-sectional study was conducted through an online survey from March 25 to April 25, 2021. The snowball sampling technique was used for data collection. The Nomophobia Questionnaire (NMP-Q) developed by Yildirim and Correia was circulated among the target population. It was a 7-point Likert Scale that was analyzed on the basis of age and gender using IBM SPSS version 22 and MS Excel 2007. The contributing factors were also analyzed. Of the 483 responses we received, 28 were discarded due to incompleteness and respondents being out of age under study that is, 15-25 years. Most of the respondents were women (n = 314, 69.01 percent). Men were less in number than women (n = 141, 31 percent). The ages of most of the respondents lied between 15 and 25 years. Twenty was the mode age. One hundred eighty-six (40.88 percent) had severe, 221 (48.57 percent) had moderate, and 48 (10.55 percent) had mild nomophobia. Average factor-wise scores and individual item scores were also added. Our findings reached a conclusion that the majority of the undergraduate students in Pakistan suffer from nomophobia ranging from its mild to severe form. Nomophobia can possibly be included as a recognized phobia in the DSM. Wider research on the subject to investigate it further and evaluate the clinical significance should be done.

The Teledentistry, Impact, Current Trends, and Application in Dentistry: A Global Study.

OBJECTIVE: The present study was aimed at assessing the impact of teledentistry, its application, and trends in uplifting dental practice and clinical care around the world. Material and Methods. The present observational study comprised of an electronic survey distributed among dental professionals around the globe. The validated survey form consisted of a total 26 questions with 5-point Likert scale response. The questionnaire used was divided into four domains: usefulness of teledentistry for patients, its usefulness in dental practice, its capacity to improve the existing practice, and the concerns attached to its use. The statistical analysis was performed using SPSS-25. ANOVA test was used to assess the effect of independent variables on dependent variables. A p value of ≤0.05 was taken as statistically significant. RESULTS: A total of 506 dental professionals participated in the study with the response rate of 89.39%. More than half of the participants (50-75%) endorsed that teledentistry is a useful tool for improving clinical practice as well as patient care. Two-thirds of the participants (69.96%) considered that teledentistry would reduce cost for the dental practices. On the other hand, about 50-70% of dental professionals expressed their concerns regarding the security of the data and consent of patients. The most preferred communication tool for teledentistry was reported to be videoconference followed by phone. The majority of participants recommended the use of teledentistry in the specialty of oral medicine, operative dentistry, and periodontics. There was a significant difference between the age, experience of dentists, and their qualifications with domains of teledentistry. CONCLUSIONS: The overall impact of dental professionals towards teledentistry was positive with adequate willingness to incorporate this modality in their clinical practice. However, the perceived concerns pertaining to teledentistry are significant impediments towards its integration within the oral health system. An in-depth study of its business model and cost-benefit needs of time, especially in the context of developing countries, in order to avail the optimum benefits of teledentistry.

How COVID-19 induced panic on stock price and green finance markets: global economic recovery nexus from volatility dynamics.

This paper investigates the effect of different categories of essential COVID-19 data from 2020 to 2021 towards stock price dynamics and options markets. It applied the hypothetical method in which investors develop depression based on the understanding suggested by various green finance divisions. Furthermore, additional elements like panic, sentiment, and social networking sites may impact the attitude, size, and direction of green finance, subsequently impacting the security prices. We created new emotion proxies based on five groups of information, namely COVID-19, marketplace, lockdown, banking sector, and government relief using Google search data. The results show that (1) if the proportional number of traders' conduct exceeds the stock market, the effect of sentimentality indexes on jump volatility is expected to change; (2) the volatility index component jump radically increases with the COVID-19 index, city and market lockdown index, and banking index; and (3) expanding the COVID-19 index gives rise to the stock market index. Moreover, all indexes decreased in jump volatility but only after 5 days. These findings comply with the hypotheses proposed by our model.

Complete Heart Block as a Clinical Feature in Critically Ill Coronavirus Disease 2019 (COVID-19) Patients: A Case Series of Three Cases.

Background. Novel coronavirus-19 disease (COVID-19) is associated with significant cardiovascular morbidity and mortality. However, there have been very few reports on complete heart block (CHB) associated with COVID-19. This case series describes clinical characteristics, potential mechanisms, and short-term outcomes of critically ill COVID-19 patients complicated by CHB. Case Summary. We present three cases of new-onset CHB in critically ill COVID-19 patients. Patient 1 is a 41-year-old male with well-documented history of Familial Mediterranean Fever (FMF) who required mechanical ventilator support for acute hypoxic respiratory failure from severe COVID-19 pneumonia. He developed new-onset CHB without a hemodynamic derangement but subsequently had acute coronary syndrome complicated by cardiogenic shock. Patient 2 is a 77-year-old male with no past medical history who required intubation for severe COVID-19 pneumonia acute hypoxic respiratory failure. He developed CHB with sinus pause requiring temporary pacing but subsequently developed multiorgan failure. Patient 3 is 36-year-old lady 38 + 2 weeks pregnant, gravida 2 para 1 with no other medical history, who had an emergency Lower Section Caesarean Section (LSCS) as she required intubation for acute hypoxic respiratory failure. She exhibited new-onset CHB without hemodynamic compromise. The CHB resolved spontaneously after 24 hours. Discussion. COVID-19-associated CHB is a very rare clinical manifestation. The potential mechanisms for CHB in patients with COVID-19 include myocardial inflammation or direct viral infiltration as well as other causes such as metabolic derangements or use of sedatives. Patients diagnosed with COVID-19 should be monitored closely for the development of bradyarrhythmia and hemodynamic instability.

COVID-19 fear and volatility index movements: empirical insights from ASEAN stock markets.

This research aims to look into the effect of COVID-19 on emerging stock markets in seven of the Association of Southeast Asian Nations' (ASEAN-7) member countries from March 21, 2020 to April 31, 2020. This paper uses a ST-HAR-type Bayesian posterior model and it highlights the stock market of this ongoing crisis, such as, COVID-19 outbreak in all countries and related industries. The empirical results shown a clear evidence of a transition during COVID-19 crisis regime, also crisis intensity and timing differences. The most negatively impacted industries were health care and consumer services due to the Covid-19 drug-race and international travel restrictions. More so, study results estimated that only a small number of sectors are affected by COVID-19 fear including  health care, consumer services, utilities, and technology, significance at the 1%, 5%, and 10%, that measure current volatility's reliance on weekly and monthly variables. Secondly, it is found that there is almost no chance that the COVID-19 pandemic would positively affect the stock market performance in all the countries, mainly Indonesia and Singapore were the countries most affected. Thirdly, results shown that Thailand's stock market output has dropped by 15%. Results shows that COVID-19 fear causes an eventual reason of public attention towards stock market volatility. The study presented comprehensive way forwards to stabilize movement of ASEAN equity market's volatility index and guided the policy implications to key stakeholders that can better help to mitigate drastic impacts of COVID-19 fear on the performance of equity markets.

Cardiorenal syndrome in COVID-19.

SARS-CoV-2 preferentially targets the human's lungs, but it can affect multiple organ systems. We report a case of cardiorenal syndrome in a 37-year-old man who had symptoms of fever, myalgia and cough. He tested positive for COVID-19 and presented 5 days later with acute heart failure. Work up was done including echocardiography showing reduced ejection fraction. Later in the hospital course he developed acute renal failure and was treated with intermittent renal replacement therapy. No other definite cause of cardiorenal complications was identified during the course of the disease. A possible link with COVID-19 was considered with underlying mechanisms still needed to be explored. This case highlights the potential of SARS-CoV-2 affecting heart and kidneys. The disease not only involves the organs directly but can exacerbate the underlying comorbid illness.

Service Innovation in Human Resource Management During COVID-19: A Study to Enhance Employee Loyalty Using Intrinsic Rewards.

This research focuses on the employee loyalty aspect of private hospitals in Pakistan during the COVID-19 pandemic, seriously impacted by strict work demand and work-family conflict. To manage this issue, social rewards and psychological rewards played a role as a mediator. The study uses a causal research design with a correlational study design in a non-contrived environment. Minimal researcher interference has been assured. AMOS 24 has been used to deal with the mediation in study design with bootstrap methodology. The study was conducted on 250 nurses of different private hospitals across Punjab province using a proportionate stratified sampling technique. A finding of this study suggests that nurses remain loyal to their organizations despite having uncompromising work demands and facing work-family conflict when they are provided with social and psychological rewards on their job by their organizations.

Co-movement of energy prices and stock market return: environmental wavelet nexus of COVID-19 pandemic from the USA, Europe, and China.

This work aims to study the time-frequency relationship between the recent COVID-19 pandemic and instabilities in oil price and the stock market, geopolitical risks, and uncertainty in the economic policy in the USA, Europe, and China. The coherence wavelet method and the wavelet-based Granger causality tests are applied to the data (31st December 2019 to 1st August 2020) based on daily COVID-19 observations, oil prices, US-EPU, the US geopolitical risk index, and the US stock price index. The short- and long-term COVID-19 consequences are depicted differently and may initially be viewed as an economic crisis. The results illustrate the reduced industrial productivity, which intensifies with the increase in the pandemic's severeness (i.e., a 10.57% decrease in the productivity index with a 1% increase in the pandemic severeness). Similarly, indices for oil demand, stock market, GDP growth, and electricity demand decrease significantly with an increase in the pandemic severeness index (i.e., a 1% increase in the pandemic severeness results in a 0.9%, 0.67%, 1.12%, and 0.65% decrease, respectively). However, the oil market shows low co-movement with the stock exchange, exchange rate, and gold markets. Therefore, investors and the government are recommended to invest in the oil market to generate revenue during the sanctions period.

The Impact of the Economic Corridor on Economic Stability: A Double Mediating Role of Environmental Sustainability and Sustainable Development Under the Exceptional Circumstances of COVID-19.

This study discusses the impact of different economic indicators on economic stability, including honest leadership, improved infrastructure, revenue generation, and CPEC taking into account the double mediating role of environmental sustainability and sustainable development, while considering the latest COVID-19 situation. This study adopted primary data collection methods and obtained data from the employees of CPEC by using questionnaires and smart-PLS for analysis purposes. The results revealed that honest leadership, improved infrastructure, revenue generation, and CPEC have a positive nexus with economic stability. Despite the severe impact of COVID-19 on the country's economy, the economic corridor plays a vital role in stabilizing the state's economy and supports all those related to this phenomenal project either directly or indirectly.

Exploiting Multiple Optimizers with Transfer Learning Techniques for the Identification of COVID-19 Patients.

Due to the rapid spread of COVID-19 and its induced death worldwide, it is imperative to develop a reliable tool for the early detection of this disease. Chest X-ray is currently accepted to be one of the reliable means for such a detection purpose. However, most of the available methods utilize large training data, and there is a need for improvement in the detection accuracy due to the limited boundary segment of the acquired images for symptom identifications. In this study, a robust and efficient method based on transfer learning techniques is proposed to identify normal and COVID-19 patients by employing small training data. Transfer learning builds accurate models in a timesaving way. First, data augmentation was performed to help the network for memorization of image details. Next, five state-of-the-art transfer learning models, AlexNet, MobileNetv2, ShuffleNet, SqueezeNet, and Xception, with three optimizers, Adam, SGDM, and RMSProp, were implemented at various learning rates, 1e-4, 2e-4, 3e-4, and 4e-4, to reduce the probability of overfitting. All the experiments were performed on publicly available datasets with several analytical measurements attained after execution with a 10-fold cross-validation method. The results suggest that MobileNetv2 with Adam optimizer at a learning rate of 3e-4 provides an average accuracy, recall, precision, and F-score of 97%, 96.5%, 97.5%, and 97%, respectively, which are higher than those of all other combinations. The proposed method is competitive with the available literature, demonstrating that it could be used for the early detection of COVID-19 patients.