FinTech revolution in mineral management: Exploring the nexus between technology adoption and sustainable Resource utilization in an industry 4.0 context.

This study investigates the impact of FinTech adoption on sustainable mineral management policies in Australia within the context of Industry 4.0, using quarterly data from 1990Q1 to 2022Q4. Employing the ARDL-Bounds testing approach, Granger causality analysis, and innovation accounting matrix, the research finds a short-term positive association between FinTech adoption, technological readiness, and green mineral extraction. However, both in the short and long run, investment in sustainable mining technologies, government support for FinTech in mining, and environmental compliance exhibit a negative relationship with resource management. Bidirectional causality is observed between regulatory support for mining FinTech, technological finance solutions, and environmentally conscious mineral practices, while unidirectional causality exists from FinTech adoption to sustainable mining practices. Impulse response functions offer insights into the future impact of variables on eco-conscious mining policies, indicating positive influences from FinTech adoption, government support for FinTech in mining, and technological adaptability over the next decade. Conversely, eco-friendly mining investments, environmental conformity, and social license to operate will impact sustainable mineral utilization. Variance decomposition analysis highlights the most significant shocks on eco-friendly resource management over the next ten years, emphasizing the role of sustainable mining technologies, FinTech adoption, and public support for mining endeavours. In the transition to Industry 4.0, this research provides crucial insights for responsibly utilizing Australia's natural resources by leveraging financial technology and technological readiness.

From desolation to preservation: Investigating longitudinal trends in forest coverage and implications for future environmental strategies.

Pakistan's forest cover is experiencing significant degradation in the ongoing efforts to combat climate change. The current state of the climate catastrophe is acknowledged. Nevertheless, there is a significant lack of readiness to tackle it effectively, especially regarding safeguarding the welfare of forthcoming generations. Pakistan bears significant relevance for future generations in this global crisis. The primary objective of this study is to examine the environmental difficulties faced by Pakistan and emphasize the critical need to safeguard its natural resources, considering the well-being of present and future generations. By using rigorous correlation and robust least squares regression methods, we investigate the complex interplay of financial aid, environmental legislation, precipitation, population growth, foreign direct investment, and afforestation within the time frame spanning from 1990 to 2022. The findings demonstrate that providing financial aid for afforestation initiatives significantly expands forested areas in Pakistan. Furthermore, the expansion of the population, the implementation of rigorous environmental restrictions, and the yearly amount of precipitation all play a role in the augmentation of forest coverage in Pakistan. Nevertheless, an alarming pattern of diminishing forest coverage over the years presents noteworthy obstacles. The importance of governance in promoting afforestation initiatives and sustainable development is highlighted by the emergence of adequate regulatory quality as a key factor. The average amount of precipitation has a discernible beneficial influence, underscoring the significance of climatic factors. The results above emphasize the need to implement cautious water resource management strategies and regulations responsive to climatic conditions. Based on these observations, the study proposes promoting sustainable agricultural and forest management, adopting a well-balanced strategy towards population expansion, implementing regulatory changes, and prudent use of water resources.

Examining the trade-offs in clean energy provision: Focusing on the relationship between technology transfer, renewable energy, industrial growth, and carbon footprint reduction.

Sustainable energy mitigates climate change by reducing reliance on coal and oil for power generation, curbing global warming. It addresses environmental concerns and yields economic benefits-reduced fossil fuel dependence, financial inclusion, productive employment, and economic development. This research examines the impact of regional economic integration on environmental sustainability in 39 high-income European and Central Asian (ECA) nations from 2017 to 2021. Specifically, the study analyzes the influence of green energy demand, technological transfers, and trade openness on carbon emissions. The study employed various estimators, namely, a two-step Generalized Method of Moments (GMM) estimation, quantile regression, and the cointegration panel approach. These estimators were utilized to capture different aspects and dynamics of the research variables. The study finds that regional green programs and trade agreements effectively reduce carbon emissions, while technological advances and industrial output tend to raise them. Granger causality analyses reveal that emissions-led regional development, technical innovation, and trade openness are interconnected factors, and the deployment of renewable energy contributes to carbon emissions. The inter-temporal analysis suggests that regional economic integration factors will likely impact carbon emissions in the following decade. These findings support neoclassical growth theory, new institutional economics, and ecological modernization theory. Developing renewable energy sources in the region can minimize energy price fluctuations, strengthen energy security, and align with the carbon neutrality agenda. This research emphasizes the need for sustainable energy strategies and regional cooperation to foster a greener and more sustainable future.

Green investing in China's air cargo industry: Opportunities and challenges for sustainable transportation.

Aviation cargo remains vital in the economic activities to transported goods from one place to another. The developed and developing countries mainly consider the transaction routes for air transportation for safe and quickest mode. Chinese economy is attracting the global World through its exports. The country's air cargo system is mainly reliant on gasoline and petroleum-based fuels, which harms the country's green transportation agenda. The high use of fuel combustions in the aviation sector needed greenfield investment that helps to use green energy as an alternative sustainable fuel. Further, sustainable aviation insurance and financial coverage are needed to mitigate the adverse negative externalities from air cargo operations. Based on the crucial facts, the study used air cargo operations, transportation fuel combustions, private investment in the transportation and insurance coverage in the pollution damage function for the China economy using data from 1975 to 2020. The research employed a non-linear ARDL Bounds testing strategy to break down the sequence of variables into dynamic positive and negative multipliers. Positive shocks in air freight, insurance services, and greenfield investment have been shown to reduce carbon emissions immediately and over the long term. In the short term, carbon damages are exacerbated by the negative shocks resulting from the use of transportation fuel and the availability of insurance. Moreover, both the positive and negative shocks associated with transportation fuel combustions and air transportation freights contribute to a rise in carbon damage. The variance decomposition analysis validated the asymmetric correlations between the aforementioned variables in the intertemporal environment. Based on the findings, negative shocks from total fuel combustions are expected to impose the greatest carbon damages over the next decade, followed by insurance services and air freight operations. The study concludes that air cargo operations need to be sustainable transacting routes fueled by biofuel energy sources, greenfield investment, and sustainable aviation insurance coverage to achieve the 'green is clean' transportation agenda.

Advancements in Neighboring-Based Energy-Efficient Routing Protocol (NBEER) for Underwater Wireless Sensor Networks.

Underwater wireless sensor networks (UWSNs) have gained prominence in wireless sensor technology, featuring resource-limited sensor nodes deployed in challenging underwater environments. To address challenges like power consumption, network lifetime, node deployment, topology, and propagation delays, cooperative transmission protocols like co-operative (Co-UWSN) and co-operative energy-efficient routing (CEER) have been proposed. These protocols utilize broadcast capabilities and neighbor head node (NHN) selection for cooperative routing. This research introduces NBEER, a novel neighbor-based energy-efficient routing protocol tailored for UWSNs. NBEER aims to surpass the limitations of Co-UWSN and CEER by optimizing NHNS and cooperative mechanisms to achieve load balancing and enhance network performance. Through comprehensive MATLAB simulations, we evaluated NBEER against Co-UWSN and CEER, demonstrating its superior performance across various metrics. NBEER significantly maximizes end-to-end delay, reduces energy consumption, improves packet delivery ratio, extends network lifetime, and enhances total received packets analysis compared to the existing protocols.

Access to sustainable healthcare infrastructure: a review of industrial emissions, coal fires, and particulate matter.

Environmental health is critical for the economy's social welfare and environmental sustainability. Using time series data from 1975 to 2020, the research examines the short- and long-run relationship between environmental pollutants and healthcare costs in the context of Pakistan. The study's results reveal that short-term and long-term efforts towards cleaner development in terms of carbon emissions, coal combustion, nitrous oxide (N2O) emissions, and industrial value-added have resulted in significant reductions in healthcare expenses due to improved management of industrial emissions. However, in the long run, particulate matter (PM2.5) has a detrimental effect on a country's sustainable healthcare agenda, leading to increased healthcare costs. Furthermore, the increased use of coal-fired power plants that release polycyclic aromatic hydrocarbons (PAH) and revenue generated by contaminated production lead to higher out-of-pocket healthcare costs, increasing a country's risk of morbidity and mortality. The study's Granger causality estimations demonstrate that carbon emissions are responsible for emissions-driven healthcare expenses in a nation. Additionally, economic growth leads to increased carbon emissions and industrial toxins, which are also emission-led. Through variance decomposition analysis (VDA), the study finds that carbon emissions have the highest variance shock of 32.702% on healthcare expenditures in the next ten years. This is followed by polluted income and continued economic growth, which have a variance shock of 13.243% and 8.858%, respectively, over the same period. The findings indicate that the maximum healthcare benefits may be acquired by mitigating environmental pollutants via stringent environmental regulations, reducing industrial toxins through solid waste management techniques, and minimizing coal combustion reliance through renewable fuels. Environmental research is still required to provide more sustainable solutions to the sustainability of the global healthcare agenda.

Economic growth and carbon emissions in Pakistan: the effects of China's Logistics Industry.

The logistics business is a crucial contributor to economic development, yet it is also the leading source of carbon emissions. Economic growth at the expense of environmental deterioration is a challenging issue; this phenomenon offered a new avenue for scholars and policymakers to investigate and address these issues. The recent study is one of the attempts to explore this intricate subject. The goal of this research is to determine whether or not the Chinese logistics sector has an impact on Pakistan's GDP and carbon emissions as a result of CPEC. The research utilized data from 2007Q1 to 2021Q4 using the ARDL approach for an empirical estimate. Due to the mixed order of variable integration and finite data set, the ARDL technique is well deserved, which helps reach sound policy inferences. The study's key results indicated that China's logistic business enhances Pakistan's economic development and carbon emissions in the short and long term. Similarly, China's energy usage, technology, and transportation contribute to Pakistan's economic progress at the price of environmental damage. The empirical study may be a model for other developing nations, given Pakistan's viewpoint. With the support of the empirical results, policymakers in Pakistan and other associated countries would be able to plan for sustainable growth in conjunction with CPEC.

Synthesis, in vitro biological screening and docking study of benzo[d]oxazole bis Schiff base derivatives as a potent anti-Alzheimer agent.

We have synthesized benzo[d]oxazole derivatives (1-21) through a multistep reaction. Alteration in the structure of derivatives was brought in the last step via using various substituted aromatic aldehydes. In search of an anti-Alzheimer agent, all derivatives were evaluated against acetylcholinesterase and butyrylcholinesterase enzyme under positive control of standard drug donepezil (IC50 = 0.016 ± 0.12 and 4.5 ± 0.11 µM) respectively. In case of acetylcholinesterase enzyme inhibition, derivatives 8, 9 and 18 (IC50 = 0.50 ± 0.01, 0.90 ± 0.05 and 0.3 ± 0.05 µM) showed very promising inhibitory potentials. While in case of butyrylcholinesterase enzyme inhibition, most of the derivatives like 6, 8, 9, 13, 15, 18 and 19 (IC50 = 2.70 ± 0.10, 2.60 ± 0.10, 2.20 ± 0.10, 4.25 ± 0.10, 3.30 ± 0.10, 0.96 ± 0.05 and 3.20 ± 0.10 µM) displayed better inhibitory potential than donepezil. Moreover, derivative 18 is the most potent one among the series in both inhibitions. The binding interaction of derivatives with the active gorge of the enzyme was confirmed via a docking study. Furthermore, the binding interaction between derivatives and the active site of enzymes was correlated through the SAR study. Structures of all derivatives were confirmed through spectroscopic techniques such as 1H-NMR, 13C-NMR and HREI-MS, respectively.Communicated by Ramaswamy H. Sarma.

Sanitation, water, energy use, and traffic volume affect environmental quality: Go-for-green developmental policies.

Carbon emissions are primarily the result of human activity in urban areas. Inadequate sanitary facilities, contaminated drinking water, nonrenewable energy, and high traffic congestion have all impacted the natural ecosystem. Using data from 1975 to 2019, the study assessed the impact of the aforementioned variables on Pakistan's carbon emissions in light of this crucial fact. The ARDL cointegration method was used to estimate the short- and long-run parameter estimates. Urban sanitation challenges and energy consumption increase carbon emissions, which affects the natural environment by raising a country's carbon intensity. Economic expansion confirmed the inverted U-shaped relationship between carbon emissions and economic growth to verify the Environmental Kuznets Curve (EKC) hypothesis in the long run. In contrast, the monotonically rising function of carbon emissions provides evidence of the nation's economic development in the short run. Access to clean drinking water improves population health and encourages the purchase of eco-friendly products. The government must improve sanitation services and use renewable energy sources to enhance air quality.

Synthesis and Molecular Docking of New Bis-Thiazolidinone-Based Chalcone Analogs as Effective Inhibitors of Acetylcholinesterase and Butyrylcholinesterase.

This work reports the convenient strategy for the synthesis of bis-thiazolidinone based chalcone analogs (1-20) from readily available thiosemicarbazide hydrochloride, ammonium thiocyanate and benzaldehyde. All the newly afforded bis-thiazolidinone based chalcone analogs (1-20) were screened in vitro for their acetylcholinesterase and butyrylcholinesterase inhibition profile. It was noteworthy, that all the synthetic analogs (except analogs 10, 12 and 14, which are found to be inactive) showed moderate to good inhibitory potentials on screening against acetylcholinesterase having range of inhibitory with IC50 values from 0.070±0.050 to 7.60±0.10 µM, and similarly for butyrylcholinesterase with range IC50 values from 0.10±0.050 µM to 10.70±0.20 µM, respectively as compared to standard Donepezil inhibitor (IC50 =2.16±0.12 µM), (IC50 =4.5±0.11 µM).Among the series, the analogs with hydroxy group showed superior inhibitory potentials against acetylcholinesterase and butyrylcholinesterase enzymes. Therefore, analog 20 (IC50 =0.070±0.050 µM), (IC50 =0.10±0.050 µM) bearing trihydroxy substitutions on ortho-, meta- and para-position of both rings A and B was found to be the most active inhibitor of acetylcholinesterase and butyrylcholinesterase enzymes among the current synthesized series (1-23). Analog 19 (IC50 =0.15±0.050 µM), (IC50 =0.20±0.050 µM) bearing dihydroxy substitutions on ortho- and meta-position of both ring A and ring B was identified as the second most potent inhibitor against both these enzymes. Interestingly, the compound (16) (IC50 =1.50±0.10 µM against AChE) has a better selectivity index (2.60) than standard Donepezil drug (2.083) for AChE over BuChE. The different types of spectroscopic techniques such as HR-EI-MS, 1 H- and 13 C- NMR were used to confirm the structure of all the newly synthetics analogs. To find structure-activity relationship, molecular docking studies were carried out to understand the binding mode of active inhibitors with active site of enzymes and results supported the experimental data.

Controlling air pollution by lowering methane emissions, conserving natural resources, and slowing urbanization in a panel of selected Asian economies.

The destruction of the earth's ecosystems is the most pressing issue globally. Carbon emissions account for nearly half of global air pollution. Methane is the primary source of ground-level ozone and a significant source of greenhouse gases (GHGs), with greater warming potential than carbon dioxide emissions. The study examines the impact of the different methane emissions (released by agriculture, energy, and industrial sectors), urbanization, natural resource depletion, and livestock production on carbon emissions in the panel of selected Asian countries for the period of 1971 to 2020. The results show that energy associated methane emissions, livestock production, natural resource depletion, and urbanization are the main detrimental factors of environmental degradation across countries. The causality estimates show the unidirectional relationship running from livestock production and agriculture methane emissions to carbon emissions, from total methane emissions and carbon emissions to urbanization and from urbanization to energy methane emissions and livestock production. The forecasting estimates suggest that total methane emissions, natural resource depletion, and urbanization will likely increase carbon emissions over the next ten years. The study concludes that the energy sector should adopt renewable energy sources in its production process to minimize carbon emissions. Urbanization and excessive resource exploitation must be curtailed to attain carbon neutrality.

Does money buy health? evaluation of stock market performance and economic growth in the wake of the COVID-19 pandemic.

The novel coronavirus pandemic of 2019 (COVID-19) has significantly harmed numerous social and economic activities worldwide, drawing researchers and governments' attention to the problem and tackling it via persistent healthcare measures. The study's primary purpose is to examine the effects of total coronavirus cases, total fatalities, total recovered cases, unemployment, and trade openness on stock prices and economic growth in the world's top 39 affected nations. An analysis of the coronavirus outbreaks found that wealthier countries had a well-established healthcare infrastructure, but they were disproportionately affected by the virus. Conversely, the less wealthy nations had inadequate healthcare infrastructures, but they were not as affected as the wealthier countries. Is it possible to buy health with money? That was the question at the heart of the study's money-and-health curve. The robust least square regression results indicate that an increase in coronavirus cases influences economic growth and stock market performance due to massive healthcare funding distributed globally, sustaining economic and financial activities for a shorter period. However, a continuous increase in coronavirus fatalities depresses the stock market, resulting in financial depression worldwide. Additionally, a rise in overall coronavirus recovered cases has a negative effect on the country's economic development and stock market performance because of greater uncertainty in economic and financial activities. Case fatality ratios influence economic growth, whereas case recovery ratios decrease economic and financial performance due to greater healthcare concerns across countries. Finally, trade openness is critical in sustaining the country's economic development and stock market performance in the wake of the COVID-19 epidemic.

Do precarious female employment and political autonomy affect the under-5 mortality rate? Evidence from 166 countries.

The United Nations' Sustainable Development Goals (SDGs) were designed to benefit the globalized world by safeguarding economic and environmental resources necessary for quality health and well-being and moderate growth and development. The study focused specifically on SDG-3 (good health and well-being), SDG-5 (gender equality), and SDG-8 (decent work and economic growth) to identify the most significant influencing factors that can affect the under-5 mortality rate in a large cross-section of 166 countries. The research used three different regression apparatuses to produce consistent and unbiased estimates: cross-sectional, robust least squares, and quantile regression approaches. Additionally, the innovation accounting matrix technique examines the intertemporal relationships between the variables over the time horizon. The data reveal that precarious female employment increases the under-5 mortality rate. On the other hand, women's political autonomy continued economic growth, and higher immunization coverage is supporting factors for achieving healthcare sustainability agenda. The ex-ante analysis indicates that per capita income will significantly impact the under-5 mortality rate, followed by women's political autonomy, insecure female employment, and immunization coverage during the next ten years. The results are consistent with other health indicators such as the health damage function, labour market function, and wealth function. The study suggests that the more unlocking women's potential in political life, the more likely it is to achieve equitable healthcare choices and reduce the mortality rate among children under five. As a result, there is an urgent need for women to have an equitable share of the labour market to appropriately meet their family healthcare demands.

A Driver Gaze Estimation Method Based on Deep Learning.

Car crashes are among the top ten leading causes of death; they could mainly be attributed to distracted drivers. An advanced driver-assistance technique (ADAT) is a procedure that can notify the driver about a dangerous scenario, reduce traffic crashes, and improve road safety. The main contribution of this work involved utilizing the driver's attention to build an efficient ADAT. To obtain this "attention value", the gaze tracking method is proposed. The gaze direction of the driver is critical toward understanding/discerning fatal distractions, pertaining to when it is obligatory to notify the driver about the risks on the road. A real-time gaze tracking system is proposed in this paper for the development of an ADAT that obtains and communicates the gaze information of the driver. The developed ADAT system detects various head poses of the driver and estimates eye gaze directions, which play important roles in assisting the driver and avoiding any unwanted circumstances. The first (and more significant) task in this research work involved the development of a benchmark image dataset consisting of head poses and horizontal and vertical direction gazes of the driver's eyes. To detect the driver's face accurately and efficiently, the You Only Look Once (YOLO-V4) face detector was used by modifying it with the Inception-v3 CNN model for robust feature learning and improved face detection. Finally, transfer learning in the InceptionResNet-v2 CNN model was performed, where the CNN was used as a classification model for head pose detection and eye gaze angle estimation; a regression layer to the InceptionResNet-v2 CNN was added instead of SoftMax and the classification output layer. The proposed model detects and estimates head pose directions and eye directions with higher accuracy. The average accuracy achieved by the head pose detection system was 91%; the model achieved a RMSE of 2.68 for vertical and 3.61 for horizontal eye gaze estimations.

Evaluating race-to-the-top/bottom hypothesis in high-income countries: controlling emissions cap trading, inbound FDI, renewable energy demand, and trade openness.

The massive rise in the world's average temperature has created major economic and environmental issues that must be addressed by strict environmental legislation. Carbon pricing is seen as a sustainable instrument capable of assisting in the reduction of negative environmental externalities associated with global carbon emissions. The race-to-the-bottom (RTB) hypothesis describes a competitive environment in which economies sacrifice environmental quality standards to undercut competitors, thus undermining the ecological sustainability objective. The study contributed to the evaluation of the RTB hypothesis by examining the role of emissions cap trading instruments in conjunction with inbound foreign direct investment, economic growth, renewable energy demand, and trade openness in reducing carbon emissions, using aggregated data from high-income countries from 1975 to 2019. The linear and non-linear ARDL estimator is used for empirical analysis. The results show that emissions cap trading lowers carbon emissions in the long run while increasing in the short run. Inbound FDI confirmed the "pollution halo hypothesis" in the long run while verifying the "pollution haven hypothesis" in the short run. The per capita income and its associated positive shocks substantially decrease carbon emissions in the short and long runs. Renewable energy demand and trade openness increases carbon emissions in the short and long runs, respectively. On the other hand, trade openness decreases carbon emissions in the short run. The results confirmed the RTB hypothesis in the short run. At the same time, it substantiates the "race-to-the top" (RTT) in the long run, by imposing stringent environmental policies to the way forward towards green and clean development. The study concludes that emissions cap trading and investment in cleaner technologies played a decisive role in reducing environmental pollution. As a result, it is desired to make environmental regulations more environmentally friendly by adopting carbon pricing and technology transfer that will lower the average world temperature.

People's attitude towards willingness-to-pay for environmental protection in Pakistan.

Recent environmental research has found that people with higher incomes and in more developed countries are more willing to pay (WTP) to protect their environment than people in developing countries. Based on this assumption, the study investigated Pakistani citizens' attitudes toward environmental protection, precisely their willingness to pay higher prices and taxes to preserve the natural environment. The research was carried out in three Punjab cities (Hasan Abdal, Wah, and Taxila) and four KPK cities (Abbottabad, Havelian, Mansehra, and Haripur). The selected cities are home to knowledgeable people who work in various universities, schools, hospitals, medical colleges, and nearby industrial estates and have a sense of environmental protection and can understand the healthcare issues related to environmental damages. The survey was divided into two sections: one about the participants' socio-demographic information and the other about people's willingness to pay higher prices and taxes to protect the environment. Four hundred and sixty-two people took part in the survey, and the data were analyzed using the bootstrap regression approach. The results show that gender has a detrimental impact, although population density and education positively impact a country's willingness to pay for environmental protection (WTPEP). Women are more likely to engage in pro-environmental behavior than men, resulting in disparities in their perceptions of male and female respondents in the study. People who live in crowded places tend to pay for environmental protection because of population density, healthcare difficulties, and air pollution. The respondents are well-versed in the externalities of environmental pollution; they are hopeful about paying for a better healthcare environment. Other criteria, such as the respondent's income, health status, total pollution level in the country, and per capita income, enable respondents to pay for environmental preservation to achieve long-term sustainable growth. The government must embrace air quality regulations and empower its citizens by offering better healthcare services since they are enthusiastic about paying higher taxes and fees to protect the environment.

Do affluent nations value a clean environment and preserve it? Evaluating the N-shaped environmental Kuznets curve.

Since industrialization, the world has been under great strain from rising temperatures. Economies work hard to boost economic growth by sacrificing natural surroundings that are degrading owing to increased carbon emissions from unsustainable production and consumption. The race-to-the-bottom strategy is seen in different parts of the globalized world, corroborating the pollution haven concept and energy-related emissions. The study assumed that once affluent nations reached a particular economic level, they would concentrate on environmental reforms to safeguard environmental and natural resources. The study built a model of the emissions-growth nexus by controlling inward FDI, information and communication technology, research and development expenditures, and renewable energy using aggregated data from high-income nations from 1976 to 2019. The study verified the N-shaped environmental Kuznets curve using a three-degree polynomial factor of per capita income. On the other hand, inward FDI was assessed as having the potential to support the pollution haven hypothesis (PHH) by increasing carbon emissions. The data show that the square and cubic forms of per capita income have a significant negative and positive effect on carbon emissions in the long run, corroborating the short-peak V-shaped EKC hypothesis. However, the N-shaped EKC hypothesis between income and emissions is verified in the short run. The PHH confirmed that more inward FDI is associated with higher long-term carbon emissions. For decreasing global carbon emissions and unclean production, stringent and incentive-based regulations are preferable.

The impact of carbon pricing, climate financing, and financial literacy on COVID-19 cases: go-for-green healthcare policies.

Climate finance and carbon pricing are regarded as sustainable policy mechanisms for mitigating negative environmental externalities via the development of green financing projects and the imposition of taxes on carbon pollution generation. Financial literacy indicates that it is beneficial to invest in cleaner technology to advance the environmental sustainability goal. The current wave of the COVID-19 epidemic has had a detrimental effect on the world economies' health and income. The pandemic crisis dwarfs previous global financial crises in terms of scope and severity, collapsing global financial markets. The study's primary contribution is constructing a climate funding index (CFI) based on four critical factors: inbound foreign direct investment, renewable energy usage, research and development spending, and carbon damages. In a cross-sectional panel of 43 nations, the research evaluates the effect of climate funding, financial literacy, and carbon pricing in lowering exposure to coronavirus cases. The study utilized Newton-Raphson and Marquardt steps to estimate the current parameter estimates while evaluating the COVID-19 prediction model with level regressors using the robust least squares regression model (S-estimator). Additionally, the innovation accounting matrix predicts estimations over a specific period. The findings indicate that climate finance significantly reduces coronavirus exposure by introducing green financing initiatives that benefit human health, which eventually strengthens the immune system's ability to fight infectious illnesses. Financial literacy and carbon pricing, on the other hand, are ineffectual in controlling coronavirus infections due to rising economic activity and densely inhabited areas that enable the transmission of coronavirus cases across countries. Similar findings were obtained using the alternative regression apparatus. The COVID-19 predicted variable was used as a "response variable," and climate financing was shown to have a favorable impact on containing coronavirus exposure. As shown by the innovation accounting matrix, carbon pricing would drastically decrease coronavirus cases' exposure over a time horizon. The study concludes that climate finance and carbon pricing were critical in improving air quality indicators, which improved countries' health and wealth, allowing them to reduce coronavirus infections via sustainable healthcare reforms.

Synthesis of new urease enzyme inhibitors as antiulcer drug and computational study.

In search of potent urease inhibitor indole analogues (1-22) were synthesized and evaluated for their urease inhibitory potential. All analogues (1-22) showed a variable degree of inhibitory interaction potential having IC50 value ranging between 0.60 ± 0.05 to 30.90 ± 0.90 µM when compared with standard thiourea having IC50 value 21.86 ± 0.90 µM. Among the synthesized analogues, the compounds 1, 2, 3, 5, 6, 8, 12, 14, 18, 20 and 22 having IC50 value 3.10 ± 0.10, 1.20 ± 0.10, 4.60 ± 0.10, 0.60 ± 0.05, 5.30 ± 0.20, 2.50 ± 0.10, 7.50 ± 0.20, 3.90 ± 0.10, 3.90 ± 0.10, 2.30 ± 0.05 and 0.90 ± 0.05 µM respectively were found many fold better than the standard thiourea. All other analogues showed better urease interaction inhibition. Structure activity relationship (SAR) has been established for all analogues containing different substituents on the phenyl ring. To understand the binding interaction of most active analogues with enzyme active site docking study were performed.Communicated by Ramaswamy H. Sarma.