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In this study the effect of alkaloids and phenolic extracts of Allium cepa on blood sugar level was studied in males and females albino mice after injection by 50mg/ kg of alloxan material intra peritoneally for one month to induced diabetes melilotus.

Abstract Background Autism spectrum disorders (ASD) are predominantly neurodevelopmental and largely genetically determined. However, there are human data supporting the idea that fever can improve symptoms in some individuals, but those data are limited and there are almost no data to support this from animal models. We aimed to test the hypothesis that elevated body temperature would improve function in two animal models of ASD. Methods We used a 4 h whole-body hyperthermia (WBH) protocol and, separately, systemic inflammation induced by bacterial endotoxin (LPS) at 250 µg/kg, to dissociate temperature and inflammatory elements of fever in two ASD animal models: C58/J and Shank3B- mice. We used one- or two-way ANOVA and t-tests with normally distributed data and Kruskal–Wallis or Mann–Whitney with nonparametric data. Post hoc comparisons were made with a level of significance set at p

BackgroundThe immune system of human and mouse neonates is relatively immature. However, innate lymphoid cells (ILCs), commonly divided into the subsets ILC1, ILC2, and ILC3, are already present in the placenta and other fetal compartments and exhibit higher activity than what is seen in adulthood. Recent reports have suggested the potential role of ILCs, especially ILC2s, in spontaneous preterm labor, which is associated with brain damage and subsequent long-term neurodevelopmental deficits. Therefore, we hypothesized that ILCs, and especially ILC2s, play a role in preterm brain injury.MethodsC57Bl/6J mice at postnatal day 6 were subjected to hypoxia-ischemia (HI) insult induced by left carotid artery ligation and subsequent exposure to 10% oxygen in nitrogen. The presence of ILCs and ILC2s in the brain was examined at different time points after HI. The contribution of ILC2s to HI-induced preterm brain damage was explored using a conditionally targeted ILC2-deficient mouse strain (Rorαfl/flIL7rCre), and gray and white-matter injury were evaluated at 7 days post-HI. The inflammatory response in the injured brain was assessed using immunoassays and immunochemistry staining.ResultsSignificant increases in ILCs and ILC2s were observed at 24 h, 3 days, and 7 days post-HI in the injured brain hemisphere compared with the uninjured hemisphere in wild-type mice. ILC2s in the brain were predominantly located in the meninges of the injured ipsilateral hemispheres after HI but not in the brain parenchyma. Overall, we did not observe changes in cytokine/chemokine levels in the brains of Rorαfl/flIL7rCre mice compared with wild type animals apart from IL-13. Gray and white-matter tissue loss in the brain was not affected after HI in Rorαfl/flIL7rCre mice. Correspondingly, we did not find any differences in reactive microglia and astrocyte numbers in the brain in Rorαfl/flIL7rCre mice compared with wild-type mice following HI insult.ConclusionAfter HI, ILCs and ILC2s accumulate in the injured brain hemisphere. However, ILC2s do not contribute to the development of brain damage in this mouse model of preterm brain injury.

Abstract Background Infection and sepsis are associated with brain white matter injury in preterm infants and the subsequent development of cerebral palsy. Methods In the present study, we used a neonatal mouse sepsis-induced white matter injury model to determine the contribution of different T cell subsets (αβT cells and γδT cells) to white matter injury and consequent behavioral changes. C57BL/6J wild-type (WT), T cell receptor (TCR) δ-deficient (Tcrd −/−, lacking γδT cells), and TCRα-deficient (Tcra −/−, lacking αβT cells) mice were administered with lipopolysaccharide (LPS) at postnatal day (PND) 2. Brain myelination was examined at PNDs 12, 26, and 60. Motor function and anxiety-like behavior were evaluated at PND 26 or 30 using DigiGait analysis and an elevated plus maze. Results White matter development was normal in Tcrd −/− and Tcrα −/− compared to WT mice. LPS exposure induced reductions in white matter tissue volume in WT and Tcrα −/− mice, but not in the Tcrd −/− mice, compared with the saline-treated groups. Neither LPS administration nor the T cell deficiency affected anxiety behavior in these mice as determined with the elevated plus maze. DigiGait analysis revealed motor function deficiency after LPS-induced sepsis in both WT and Tcrα −/− mice, but no such effect was observed in Tcrd −/− mice. Conclusions Our results suggest that γδT cells but not αβT cells contribute to sepsis-induced white matter injury and subsequent motor function abnormalities in early life. Modulating the activity of γδT cells in the early stages of preterm white matter injury might represent a novel therapeutic strategy for the treatment of perinatal brain injury.

BackgroundPeriventricular leukomalacia (PVL) is the most common form of preterm brain injury affecting the cerebral white matter. This type of injury involves a multiphase process and is induced by many factors, including hypoxia–ischemia (HI) and infection. Previous studies have suggested that lymphocytes play a significant role in the pathogenesis of brain injury, and the aim of this study was to determine the contribution of lymphocyte subsets to preterm brain injury.MethodsImmunohistochemistry on brain sections from neonatal mice was performed to evaluate the extent of brain injury in wild-type and T cell and B cell-deficient neonatal mice (Rag1−/− mice) using a mouse model of HI-induced preterm brain injury. Flow cytometry was performed to determine the presence of different types of immune cells in mouse brains following HI. In addition, immunostaining for CD3 T cells and CD20 B cells was performed on postmortem preterm human infant brains with PVL.ResultsMature lymphocyte-deficient Rag1−/− mice showed protection from white matter loss compared to wild type mice as indicated by myelin basic protein immunostaining of mouse brains. CD3+ T cells and CD20+ B cells were observed in the postmortem preterm infant brains with PVL. Flow cytometry analysis of mouse brains after HI-induced injury showed increased frequency of CD3+ T, αβT and B cells at 7 days after HI in the ipsilateral (injured) hemisphere compared to the contralateral (control, uninjured) hemisphere.ConclusionLymphocytes were found in the injured brain after injury in both mice and humans, and lack of mature lymphocytes protected neonatal mice from HI-induced brain white matter injury. This finding provides insight into the pathology of perinatal brain injury and suggests new avenues for the development of therapeutic strategies.

Toll-like receptor 7 (TLR7) known to recognize guanidine-rich ssRNA has been shown to mount vital host defense mechanism against many viruses including flaviviruses. Signal transduction through TLR7 has been shown to produce type-1 interferon and proinflammatory mediators, thereby initiating essential innate immune response against ssRNA viruses in hosts. Systemic and brain specific TLR7 knock-down mice (TLR7KD) were generated using vivo-morpholinos. These mice were then subcutaneously challenged with lethal dose of JEV (GP78 strain) and were subsequently analyzed for survival. Significant difference in susceptibility to JEV between wild-type and systemic TLR7KD mice was observed whereas, no difference in susceptibility to JEV infection was seen in brain-specific TLR7KD mice. Significant decreases in IFN-α and antiviral proteins were also observed in both TLR7KD mice along with increased viral loads in their brain. Owing to increased viral load, increases in levels of various proinflammatory cyto/chemokines, increased microglial activation and infiltration of peripheral immune cells in brain of TLR7KD mice were also observed. Immunocytochemistry and RNA co-immunoprecipitation performed with JEV-infected N2a or HT22 cells indicated endosomal localization and confirmed interaction between JEV ssRNA with TLR7. Treatment of mice with imiquimod, a TLR7 agonist, prior to JEV infection resulted in their increased survival. Overall, our results suggest that the TLR7 response following JEV infection promotes type-1 interferon production and generation of antiviral state which might contribute to protective effect in systemic infection.

Neuroinflammation associated with Japanese encephalitis (JE) is mainly due to the activation of glial cells with subsequent release of proinflammatory mediators from them. The recognition of viral RNA, in part, by the pattern recognition receptor retinoic acid-inducible gene I (RIG-I) has been indicated to have a role in such processes. Even though neurons are also known to express this receptor, its role after JE virus (JEV) infections is yet to be elucidated.Upon infecting murine neuroblastoma cells and primary cortical neurons with JEV the expression profile of key proinflammatory cyto/chemokines were analyzed by qRT-PCR and bead array, both before and after ablation of RIG-I. Immunoblotting was performed to evaluate the levels of key molecules downstream to RIG-I leading to production of proinflammatory mediators. Changes in the intracellular viral antigen expression were confirmed by intracellular staining and immunoblotting. JEV infection induced neuronal expression of IL-6, IL-12p70, MCP-1, IP-10 and TNF-α in a time-dependent manner, which showed significant reduction upon RIG-I ablation. Molecules downstream to RIG-I showed significant changes upon JEV-infection, that were modulated following RIG-I ablation. Ablation of RIG-I in neurons also increased their susceptibility to JEV.In this study we propose that neurons are one of the potential sources of proinflammatory cyto/chemokines in JEV-infected brain that are produced via RIG-I dependent pathways. Ablation of RIG-I in neurons leads to increased viral load and reduced release of the cyto/chemokines.

BACKGROUND: Benzo[a]pyrene (B[a]P) belongs to a class of polycyclic aromatic hydrocarbons that serve as micropollutants in the environment. B[a]P has been reported as a probable carcinogen in humans. Exposure to B[a]P can take place by ingestion of contaminated (especially grilled, roasted or smoked) food or water, or inhalation of polluted air. There are reports available that also suggests neurotoxicity as a result of B[a]P exposure, but the exact mechanism of action is unknown. METHODOLOGY/PRINCIPAL FINDINGS: Using neuroblastoma cell line and primary cortical neuron culture, we demonstrated that B[a]P has no direct neurotoxic effect. We utilized both in vivo and in vitro systems to demonstrate that B[a]P causes microglial activation. Using microglial cell line and primary microglial culture, we showed for the first time that B[a]P administration results in elevation of reactive oxygen species within the microglia thereby causing depression of antioxidant protein levels; enhanced expression of inducible nitric oxide synthase, that results in increased production of NO from the cells. Synthesis and secretion of proinflammatory cytokines were also elevated within the microglia, possibly via the p38MAP kinase pathway. All these factors contributed to bystander death of neurons, in vitro. When administered to animals, B[a]P was found to cause microglial activation and astrogliosis in the brain with subsequent increase in proinflammatory cytokine levels. CONCLUSIONS/SIGNIFICANCE: Contrary to earlier published reports we found that B[a]P has no direct neurotoxic activity. However, it kills neurons in a bystander mechanism by activating the immune cells of the brain viz the microglia. For the first time, we have provided conclusive evidence regarding the mechanism by which the micropollutant B[a]P may actually cause damage to the central nervous system. In today's perspective, where rising pollution levels globally are a matter of grave concern, our study throws light on other health hazards that such pollutants may exert.

BACKGROUND: Japanese encephalitis (JE), caused by a mosquito-borne flavivirus, is endemic to the entire south-east Asian and adjoining regions. Currently no therapeutic interventions are available for JE, thereby making it one of the most dreaded encephalitides in the world. An effective way to counter the virus would be to inhibit viral replication by using anti-sense molecules directed against the viral genome. Octaguanidinium dendrimer-conjugated Morpholino (or Vivo-Morpholino) are uncharged anti-sense oligomers that can enter cells of living organisms by endocytosis and subsequently escape from endosomes into the cytosol/nuclear compartment of cells. We hypothesize that Vivo-Morpholinos generated against specific regions of 3' or 5' untranslated regions of JEV genome, when administered in an experimental model of JE, will have significant antiviral and neuroprotective effect. METHODOLOGY/PRINCIPAL FINDINGS: Mice were infected with JEV (GP78 strain) followed by intraperitoneal administration of Morpholinos (5 mg/kg body weight) daily for up to five treatments. Survivability of the animals was monitored for 15 days (or until death) following which they were sacrificed and their brains were processed either for immunohistochemical staining or protein extraction. Plaque assay and immunoblot analysis performed from brain homogenates showed reduced viral load and viral protein expression, resulting in greater survival of infected animals. Neuroprotective effect was observed by thionin staining of brain sections. Cytokine bead array showed reduction in the levels of proinflammatory cytokines in brain following Morpholino treatment, which were elevated after infection. This corresponded to reduced microglial activation in brain. Oxidative stress was reduced and certain stress-related signaling molecules were found to be positively modulated following Morpholino treatment. In vitro studies also showed that there was decrease in infective viral particle production following Morpholino treatment. CONCLUSIONS/SIGNIFICANCE: Administration of Vivo-Morpholino effectively resulted in increased survival of animals and neuroprotection in a murine model of JE. Hence, these oligomers represent a potential antiviral agent that merits further evaluation.

Purpose: The purpose of this study is to investigate how industrialization, financial development, electricity consumption, trade openness, and green FinTech affect on carbon emissions asymmetrically in Asian countries., Design: Method/Approach: The study examined 29 years of panel data from 39 Asian countries from 1995 to 2022, sourced from World Development Indicators (WDI) and the International Monetary Fund (IMF). The study constructs a green financial technology index using principal component analysis (PCA). The study utilizes an Asymmetric Panel Quantile Autoregressive Distributive Lag (A-QARDL) model with pooled mean group (PMG) specifications to explore effects that exhibit cross-sectional homogeneous in the long-run, but heterogeneous in the short-run effects., Findings: Industrialization and financial development have a strongly asymmetric impact on carbon emissions. Industrialization causes an increase in carbon emissions at various quantiles, while green FinTech plays a crucial role in mitigating these carbon emissions. Trade openness and domestic credit to the private sector also help reduce carbon emissions., Research Limitations and Implications: The study emphasizes the significance of employing green FinTech techniques and using renewable energy sources to meet sustainable industrialization and sustainability goals in Asian countries. The policy consequences include promoting environmentally friendly industrial practices, encouraging green financial investments, and boosting government financing for private sector research and development to mitigate carbon emissions., Originality/value: The study employs robust modeling to analyze the role of green FinTech to enhance industrial sustainability. Both Industrialization and deindustrialization have an impact on economic emissions, and the potential of green FinTech's to promote sustainability contributes to the environment protection strategy., Competing Interests: Declaration of competing interest The authors declare that there is no conflict of interest regarding the publication of this research paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Purpose: Recent studies in economics showed that humans are bounded rational. This being consumers, they are not perfect judges of what matters for the standard of living. While with a marked increase in economic and social wellbeing, there is a consistent rise in obesity levels, especially in the developed world. Thus, this study intends to explore the empirical and socio-economic antecedents of human obesity across countries using six global indexes. Methods: This study used the data of 40 countries between 1975 to 2018 and used the Panel FGLS Regression with the quadratic specification. Findings: The results showed that health and food indicators increase global human obesity, environment and education indicators decrease global human obesity, and economic and social indicators follow an inverted U-shaped pattern in affecting global human obesity. Originality: Previous studies have used infant mortality and life expectancy as the major health indicator in determining the standard of living while overlooking global human obesity as a major deterrent to welfare. This study has provided a holistic assessment of the causes of obesity in global contexts., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Purpose - Political globalization is a crucial and distinct component of strengthening global organizations. Obesity is a global epidemic in a few nations, and it is on the verge of becoming a pandemic that would bring plenty of diseases. This research aims to see how the political globalization index affects worldwide human obesity concerning global human development levels. Methods- To assess any cross-sectional dependence among observed 109 nations, the yearly period from 1990 to 2017 is analyzed using second generation panel data methods. KAO panel cointegration test and Fully Modified Least Square model were used to meet our objectives. Finding- Low level of political globalization tends to increase global human obesity because countries cannot sway international decisions and resources towards them. While the high level of political globalization tends to reduce obesity because it can control and amends international decisions. For the regression model, a fully modified Least Square model was utilized. The study observed that the R squared values for all models are healthy, with a minimum of 87 percent variables explaining differences in global obesity at the country level. Originality: There is very important to tackle the globalization issue to reduce global human obesity. With the simplicity of dietary options and the amount of physical labour they undergo in their agricultural duties, an increase in rural population percentage tends to lower the average national obesity value., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Ecological risk management has emerged as a critical research and policy development area in energy and environmental economics. Sustained ecology is crucial for the standard of living and food security. As the adverse impacts of environmental degradation and climate change become increasingly apparent it is imperative to understand ecological risk and its interconnectedness with environmental pressure, clean energy, economic activity, globalization, and green technology. Ecological risk is assessed using the environmental performance index which is a holistic indicator of climate change, environmental pressures and human actions in which most of these indicators have spatial effects. This paper explores the multifaceted relationship between identified anthropogenic critical factors and their role in effectively managing ecological risk globally. This study has developed the second-generation dynamic panel quantile regression considering spatial effects of economic activities on ecology across borders of 55 countries between 1995 and 2022. This innovative hybrid estimation scheme that integrated theoretical and econometric aspects makes the model robust to major regression issues. Several implications ranked in decreasing order of its effectiveness are reducing environmental pressure, expediting energy transition, and embracing economic integration while there is a need to work on rejuvenating green technology and green growth., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The exacerbation of the historical and geopolitical tensions between India and Pakistan, largely attributed to colonial legacies, is further amplified due to climate change-induced water conflicts. These environmental management issues stemming from the climate crisis are urgent, demanding innovative and collaborative solutions. The primary aim of this article is to elucidate the complexities of the water conflict between India and Pakistan and propose more effective environmental management strategies that will ultimately foster regional peace and stability. The article applies the metabolic rift theory, a sociological approach, to comprehensively explain crisis-led ecological challenges in the Indo-Pak context. By applying this theory, the article reveals that collective environmental management strategies, particularly those aimed at water resource management, can significantly mitigate the impact of climate crisis and the related climate-induced conflicts. The study also proposes a need-based approach to environmental management, stressing the importance of having integrated water resource planning (harmoniously) shared between India and Pakistan. This includes ensuring sustainable wastewater treatment, securing freshwater quality, and guaranteeing an equitable distribution and utilization of water resources between these two nations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Energy is crucial for growth, but over-reliance on fossil energy undermines sustainability. COP27 has emphasized over transition towards clean energy. Empirical studies have pointed out that energy transition requires infrastructure development which is costly in the short run. Global and national efforts to transition to renewable energy require investigating what matters in global fossil energy demand. While empirical studies have focused on motivating renewable energy, this study explores the determinants of fossil energy in anticipation of reducing its reliance and moving towards sustainable development goals. A non-linear panel quantile ARDL regression was deployed using data from 137 countries and showed that increased forest and natural resource rents and health expenditures are already playing their role. The quadratic models highlighted the importance of optimizing resource rents to nudge the renewable resource decision. Now, policymakers need to intervene in terms of income, education, and fossil energy rents to help households and firms prefer renewable energy sources and move towards sustainability., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Several emerging economies, including economies in belt and road initiative (BRI), are experiencing difficulty attaining sustainable development goals. The efficient utilization of biomass energy sources plays an essential role in attaining sustainable development goals, especially among developing economies. This study empirically investigates the ecological footprints, biomass energy demand, and per capita income association for 30 BRI economies from 1995 to 2021. The study incorporates cointegration and panel quantile regression (PQR) to identify the relationship among discussed variables. Empirical outcomes indicate a negative significant biomass energy demand and ecological footprints relationship, especially among the economies with high traits of ecological footprints. Moreover, the empirical findings also confirm the negative significant per capita income and ecological footprints relationship, while the square of per capita income approves a significant positive association with ecological footprints. These estimates confirm the EKC hypothesis among per capita income and ecological footprints. The findings of the current study help to determine the optimum level of modern biomass energy consumption, which helps to attain economic growth without compromising ecological sustainability., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study examines the relationship between globalization, ecological footprint, innovation, and subjective wellbeing in the form of happiness, using a comprehensive assessment of OECD countries from 2008 to 2020. The study employs FGLS, Quantile, and Bootstrap Quantile regression estimation to investigate the quadratic effects of globalization, ecological footprint, and the moderating effect of innovation while controlling for renewable energy and population density. Happiness is a multidisciplinary subject, and this study focuses on the economic dimensions of happiness. The findings reveal a nonlinear relationship between ecological footprint and globalization, with negative effects on subjective wellbeing at high levels of ecological footprint and globalization. However, the moderating effect of innovation mitigates these adverse effects, indicating that innovation can help to offset the detrimental impacts of ecological footprint and globalization on subjective wellbeing. The study's implications are significant for policymakers promoting sustainable economic growth while enhancing subjective wellbeing. The findings highlight the importance of investing in innovation and sustainable development to promote subjective wellbeing in the face of increasing ecological footprint and globalization. Additionally, this research contributes to the multidisciplinary understanding of happiness and provides valuable insights for future research in this area., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Considering environmental deterioration, an emerging global problem, this study is aimed at determining the impact of the service sector economic activity on environmental quality from the environmental Kuznets curve (EKC) perspective and finding ways to reduce the carbon impact of service sector within the EKC relationship. This study proposes that renewable energy intensity in the economy plays an important role in reducing carbon print of service sector. This study is based on secondary data from 1995 to 2021 for different development-wise categorized country groups leading to 115 countries, according to the Human Development Report (HDR) on the Human Development Index (HDI). Estimated results using panel feasible generalized least squares (FGLS) have confirmed inverted U-shaped for very high HDI and medium HDI and U-shaped EKC for low HDI countries. This study is instrumental in confirming the moderating role of renewable energy in the service sector EKC. Policymakers can plan a gradual reduction of carbon footprint in the service sector by transitioning toward renewable energy., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The postmodernism stance critiques the current discourse of modern consumption-based societies. These societies legitimize their embedded beliefs and actions based on their lifestyle reflected through their consumption patterns. Their consumption patterns relate to carbon footprints that are yet to be explored in the current body of knowledge at the macro level. The legitimacy of their lifestyle and consumption patterns rely on their conscious efforts in reducing carbon footprints. This study uses the environmental Kuznets curve model and explores the impact of household lifestyle and household consumption patterns on CO 2 emissions across different cultures and societies worldwide. 49 countries were taken to assess how different cultures define consumption patterns related to CO 2 emission. The results showed that the curvilinear relationship between consumption and CO 2 depends on the country's national cultural orientation., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

For nations already facing pollution issues, fossil fuel energy consumption is deteriorating living standards. Though prevailing infrastructure makes fossil fuel energy use feasible for production, it still pollutes our environment. This study in the domain of environment and development assesses the impact of fossil fuel energy consumption on the infant mortality rate in 15 Asian economies during 1996 and 2019. The living standards are assessed using infant mortality rate, while non-linear fossil fuel energy consumption is used with gross capital formation, employment, and preprimary education as independent variables. The feasible generalized least square method evaluates the effects. The study concludes that fossil fuel energy consumption follows a U-shaped relationship explaining infant mortality. The results point out that over-consumption of fossil fuel energy is deteriorating the living standards considering low air quality levels in Asian economies., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Developed economies are at the forefront of facing the brunt of non-communicable diseases (NCD). The majority of the health expenditures are routed in managing obesity and mental disorder-related patients, and there is a fall in the productivity of the distressed and NCD prone labour. Several indicators of stress are used in literature to assess its implications. However, empirically no database has maintained the longitudinal data of national stress level. This study focused on constructing the socioeconomic antecedent of non-communicable stress which is leading to several NCDs. For this Multiple Indicator and Multiple Causes (MIMIC) model is utilized for 151 countries between 2008 and 2018. The results show that macroeconomic conditions, trade, and environmental quality follow fundamentals in explaining stress. While, national stress index is a significant source of smoking and mental disorder prevalence.

Globalization boosts the process of market predictions in the pursuit of economic growth. When economic, political, and social forces gain traction by promoting policies and the climate favoring globalization, entrepreneurial results reach out. Policymakers are still searching for a context within which regional policies can be structured to foster long-term entrepreneurship opportunities. The literature on entrepreneurial phenomena is incomplete and uncertain as to how globalization forces establish a nonlinear mechanism to promote the entrepreneurial process. This study provides the basic context for identifying globalization forces to create a nonlinear effect on the entrepreneurial process in order to address this problem. The results propose that policymakers strengthen the social and political dimension of globalization to increase opportunities-based entrepreneurship., Competing Interests: he authors have declared that no competing interests exist.

Background: At the biological level, ageing results from a plodding decline in physical and mental capability, an emergent menace of malady, and eventually, fatality. Even though a few of the geriatric's health changes are hereditary, to a great extent is due to individual's physical and societal surroundings and their residence, locality, societies, gender, ethnicity or socio-economic status. The current debate is well popular by the relationship between increasing diversity and the ageing population with healthcare expenditure in the United States. Higher diversity in society and increasing ageing population have various socio-economic consequences. A good policy in this regard helpful to managed and get fruitful outcomes., Objective: This study aims to examine the direct effects of diversity and ageing population on healthcare spending. The assortment observed in geriatrics is not arbitrary. A huge portion emerges from individual's physical and social settings and the influence of these environs on their prospect and well-being demeanour., Method: This study used the Bayesian-vector autoregressive model, impulse response analysis, and variance decomposition and data over the period 1990-2018 for empirical analysis of the United States., Results: The empirical findings indicate that diversity and ageing population are more persistent with health expenditure in the United States. This study concludes that an increase in diversity and ageing population will rely on the long-term healthcare facility., Conclusion: The study suggests that cohesive society and effective health intervention might aid in curtailing expenditure pressure linked with elderly population. Furthermore, a recommendation of this study is a good opportunity for healthcare policymakers and further researches., (© 2021 John Wiley & Sons Ltd.)

There is a strong association between environmental quality and economic activity. Empirical studies term this relationship as environmental Kuznets curve (EKC) using time series or panel data regression analysis, but their estimates are based on several assumptions. This study has explored the distribution oriented robust effect of disaggregated real GDP on environmental quality. These estimates are free of assumptions and provide the actual distribution of effects rather than a single value of the marginal effect. The data is collected for 189 countries between 1990 and 2018, and estimates are generated using panel quantile regression and quantile on quantile regression. The estimation results point towards the U-shaped industry EKC, inverted U-shaped service EKC, and linear agriculture EKC. The robust, practical, and realistic estimates of real economic activity and environment have paved way towards an in-depth analysis to sustain a better environmental quality.

The consequence of increasing economic activities is observable in the incidence of environmental deterioration. Many studies have explored the precedents of environment quality. In this regard, the proposed stochastic impacts by regression on population, affluence, and technology (STIRPAT) and environmental Kuznets curve (EKC) analysis are valuable not only for academic analysts, but also for policymakers. This study has focused on 80 selected countries between 1990 and 2017, which confirms the existence of EKC within the STIRPAT framework. The results are estimated with the help of dynamic ordinary least square (DOLS), which controls for the autocorrelation in long periods. According to the estimated results, this study confirms U-shaped EKC based on industrial-, agricultural-, and services-based economic activities. This means that over-reliance on one specific economic activity may harm the environment and create footprint. In this regard, urbanization is responsible for affecting carbon dioxide emissions. Moreover, governance and technology are protecting the environment. This quadratic function had classified the sample countries in terms of the degree of sustainability of their economic activity sectors. This study proposes that countries should work on a balanced composition of economic activity so that the lowest possible environmental deterioration is caused.

The use of DNA as evidence in judicial trials in Pakistan is fraught with issues and challenges, including sampling, profiling, analysis, inclusion and exclusion criteria, insight and oversight mechanisms, invasion of personal privacy, constitutional safeguards and court admissibility issues. These problems have diminished the significance of this robust forensic evidence and hindered the creation of a central database in the country. This paper discusses these issues and introduces suggestions for the inclusion of DNA as significant evidence in the criminal justice system of Pakistan.

Herein, we report the synthesis of SnO, Cu₂O and SnO-Cu₂O mixed oxide thin films on fluorinedoped tin oxide (FTO) substrate by Aerosol-Assisted Chemical Vapour Deposition (AACVD) process using [Cu (dmae)₂(H₂O)] and [Sn (dmae) (OAc)]₂ as molecular precursors for SnO and Cu₂O, respectively at 400 °C. The X-ray diffraction (XRD) pattern can be ascribed to the tetragonal phase of SnO crystals with space group P4 and cubic phase of Cu₂O crystals with space group Pn- 3m/nmm, respectively. The surface morphology characteristics of SnO, Cu₂O and SnO-Cu₂Omixed oxide have been investigated using Field Emission Scanning Electron Microscope (FESEM) which revealed that the SnO was grown homogeneously in cubical shape while Cu₂O possess nano balls shaped morphologies. The UV band gap values of SnO-Cu₂O mixed oxide thin film was found to be 2.6 eV appropriate for photoelectrochemical (PEC) applications. The synthesized material was proposed for PEC applications and has shown enhanced catalytic performance in the presence of light.

The objective of the study is 2-fold. First, it estimates the 2019 new coronavirus disease (COVID19) flattening curve using Panel Random Coefficient Model. This allows each country to have its trajectory while allowing for random error effects to transfer across countries. Second, it calculates the expected number of days to reach the flattening point of COVID19 curve and estimate the empirical effectiveness of government policies around the world using Poisson regression. This study avails global COVID19 incidence data for 190 countries between January 22, 2020 and May 11, 2020. In the absence of a vaccine or of more appropriate treatment options, non-pharmaceutical approaches must be used to control the spread of the COVID19. This study proposed that the contact tracing, stay at home restrictions and international movement restrictions are most effective in controlling the spread and flattening the COIVD19 curve. At the same time, habits that hurt the immune system like smoking have a negative effect on the flattening of the curve. The government should integrate these policies in their lockdown plan to make it smart lockdown., (© 2020 John Wiley & Sons Ltd.)

The study emphasizes to examine the causal relationship among CO 2 emission, agricultural value added, industrial production, urbanization, nuclear energy consumption, and economic growth across the panel of 59 countries. The data is collected from World Bank database over the period of 1982-2015. For econometric estimations, we have divided the sample into different income groups: low income, lower middle income, upper middle income, and higher income. In case of higher income countries, empirical results have reported the unidirectional causality from agricultural value added to CO 2 emission, whereas, bidirectional causality between nuclear energy consumption and CO 2 emission. Upper-middle-income countries have confirmed the bidirectional causality between CO 2 emissions and agricultural added; however, unidirectional causality runs from nuclear consumption to CO 2 emission. According to Granger causality estimations, agricultural value added and nuclear energy consumption do not cause the CO 2 emission in low income and lower-middle-income countries. Long-run estimations have mentioned that higher agricultural value added leads to increase the CO2 emission, in upper middle income and higher income countries. On contrary, in case of low-income and lower-middle-income countries, agricultural value added has inverse relationship with CO 2 emission. Higher nuclear energy consumption tends to reduce the CO 2 emission, except the upper-middle-income countries.