Assessment of body mass-related covariates for rifampicin pharmacokinetics in healthy Caucasian volunteers.

PURPOSE: Currently, body weight-based dosing of rifampicin is recommended. But lately, fat-free mass (FFM) was reported to be superior to body weight (BW). The present evaluation aimed to assess the influence of body mass-related covariates on rifampicin's pharmacokinetics (PK) parameters in more detail using non-linear mixed effects modeling (NLMEM). METHODS: Twenty-four healthy Caucasian volunteers were enrolled in a bioequivalence study, each receiving a test and a reference tablet of 600 mg of rifampicin separated by a wash-out period of at least 9 days. Monolix version 2023R1 was used for NLMEM. Monte Carlo simulations (MCS) were performed to visualize the relationship of body size descriptors to the exposure to rifampicin. RESULTS: A one-compartment model with nonlinear (Michaelis-Menten) elimination and zero-order absorption kinetics with a lag time best described the data. The covariate model including fat-free mass (FFM) on volume of distribution (V/F) and on maximum elimination rate (Vmax/F) lowered the objective function value (OFV) by 56.4. The second-best covariate model of sex on V/F and Vmax/F and BW on V/F reduced the OFV by 51.2. The decrease in unexplained inter-individual variability on Vmax/F in both covariate models was similar. For a given dose, MCS showed lower exposure to rifampicin with higher FFM and accordingly in males compared to females with the same BW and body height. CONCLUSION: Our results indicate that beyond BW, body composition as reflected by FFM could also be relevant for optimized dosing of rifampicin. This assumption needs to be studied further in patients treated with rifampicin.

Recent Trends and Advances in Additive-Mediated Composting Technology for Agricultural Waste Resources: A Comprehensive Review.

Agriculture waste has increased annually due to the global food demand and intensive animal production. Preventing environmental degradation requires fast and effective agricultural waste treatment. Aerobic digestion or composting uses agricultural wastes to create a stabilized and sterilized organic fertilizer and reduces chemical fertilizer input. Indeed, conventional composting technology requires a large surface area, a long fermentation period, significant malodorous emissions, inferior product quality, and little demand for poor end results. Conventional composting loses a lot of organic nitrogen and carbon. Thus, this comprehensive research examined sustainable and adaptable methods for improving agricultural waste composting efficiency. This review summarizes composting processes and examines how compost additives affect organic solid waste composting and product quality. Our findings indicate that additives have an impact on the composting process by influencing variables including temperature, pH, and moisture. Compost additive amendment could dramatically reduce gas emissions and mineral ion mobility. Composting additives can (1) improve the physicochemical composition of the compost mixture, (2) accelerate organic material disintegration and increase microbial activity, (3) reduce greenhouse gas (GHG) and ammonia (NH3) emissions to reduce nitrogen (N) losses, and (4) retain compost nutrients to increase soil nutrient content, maturity, and phytotoxicity. This essay concluded with a brief summary of compost maturity, which is essential before using it as an organic fertilizer. This work will add to agricultural waste composting technology literature. To increase the sustainability of agricultural waste resource utilization, composting strategies must be locally optimized and involve the created amendments in a circular economy.

Evaluating forest depletion and structural change effects on environmental sustainability in Pakistan: Through the lens of the load capacity factor.

The pace of species extinction and deforestation has increased dramatically due to the substantial increase in global environmental degradation. This trend is approaching the crucial temperature threshold of 2 °C and calls for more attention. Although previous research has observed the individual impacts of forest depletion, structural change, economic growth, and urbanization on various sustainability outcomes, there has been no previous research into their interrelationships with an emphasis on the load capacity factor (LCF). Furthermore, no previous study has examined the environmental impacts of the abovementioned variables by contrasting the results of LCF and CO2 emissions in Pakistan. Therefore, this research suggests a theoretical framework that integrates these concepts, provides a roadmap for an effective and sustainable mitigation strategy for Pakistan and compares LCF results with CO2 emissions. Using the time-series data from 1970 to 2021, a unique and sophisticated dynamic Autoregressive Distributed Lag (DARDL) technique, the authors found that (i) a 1 % rise in forest depletion leads to a decline in load capacity factor by 0.026 %. (ii) A one per cent upsurge in structural change fosters environmental sustainability by raising the load capacity factor by 0.084 %. (iii) An increase of 1 % in economic growth dwindles the load capacity factor by 0.027 %. (iv) A one per cent surge in urbanization enhances the load capacity factor by 0.029 %. The findings suggest that Pakistan's Government should promote afforestation by emphasizing the constructive role of structural change in achieving environmental sustainability.

Assessment of ubiquitin specific Peptidase-18 gene in peripheral blood of chronic hepatitis C patients treated with direct-acting antiviral drugs.

Hepatitis C virus (HCV) infection remains one of the leading causes of liver complications globally. Ubiquitin Specific Peptidase-18 (USP18) is a ubiquitin-specific protease that cleaves interferon-stimulated gene 15 (ISG15) from ISGylated protein complexes and is involved in regulating interferon responsiveness. To study the effect of direct-acting antivirals (DAAs) on the USP18 gene using qPCR, 132 participants were recruited and classified into different groups based on treatment duration. USP18 expression was raised compared to rapid virologic response (RVR) and early virologic response (EVR) groups with P = 0.0026 and P = 0.0016, respectively. USP18 was found to be 7.36 folds higher in naïve patients than those with RVR and sustained viral response (SVR). In RVR and SVR groups where patients had cleared HCV RNA after treatment with direct-acting antiviral agents (DAA) therapy, the expression of USP18 was found to be low, with a fold change of 1.3 and 1.4 folds, respectively. Expression of USP18 was significantly higher in the non-RVR group than in the RVR group. In the No EVR group, gene expression was significantly higher than in the EVR group. It is concluded that targeting HCV proteins using DAAs can cause USP18 expression to be normalized more effectively. Moreover, USP18 is a vital marker indicating treatment resistance and distinguishing responders from non-responders during DAA therapy.

Financial inclusion, environmental degradation, and the moderating role of ICT: a global perspective.

This study aims to investigate the global perspective on the relationship between financial inclusion and environmental degradation, taking into account the potential moderating role of information and communication technology (ICT). The research utilizes panel data from 131 countries, covering the period of 1995 to 2019. The findings show that financial inclusion has significant and positive impact on carbon emissions, implying that as financial inclusion increases, so do carbon emissions. Moreover, our findings reveal a significant negative moderating effect of the ICT on the relationship between financial inclusion and carbon emissions. This implies that the impact of financial inclusion on carbon emissions is contingent upon the level of ICT development. The robustness of these findings is confirmed through the use of alternative proxies for the explanatory and moderating variables, as well as alternative estimation methods. The outcomes of this study carry significant implications for both policy and practice.

Assessing the competitiveness of Indian solar power industry using the extended Five Forces Model: a green innovation perspective.

India's demand-supply imbalance electricity market results from the country's rapid population growth and extensive industrialization. Due to increased costs, many residential and commercial customers have difficulty paying their electric bills. Households with lower incomes are confronted with the most severe energy poverty in the entire country. A sustainable and alternative form of energy is required to solve these issues. Solar energy is a sustainable energy choice for India; however, the solar industry faces many issues. One of them is managing end-of-life cycle photovoltaic (PV) waste, as massive deployment of solar energy capacity has resulted in generating large amounts of PV waste, ultimately affecting environmental and human health. Therefore, this research employs "Porter's Five Forces Model" to analyze the factors that significantly impact the competitiveness of India's solar power industry. The inputs for this model consist of semi-structured interviews conducted with experts in the solar power industry on various solar energy-related issues and a critical analysis of the national policy framework using the relevant literature and official statistics. The impact of five significant stakeholders of the solar power industry on solar power generation in India is evaluated: buyers, suppliers, competitors, substitutes, and potential competitors. Research findings indicate the Indian solar power industry's current status, challenges, competition environment, and future estimates. This study will help the government and stakeholders to understand the intrinsic and extrinsic factors affecting the competitiveness of the Indian solar power sector and suggest policy recommendations to formulate procurement strategies that promote sustainable development within the solar industry.

Cefepime Population Pharmacokinetics, Antibacterial Target Attainment, and Estimated Probability of Neurotoxicity in Critically Ill Patients.

Cefepime has been reported to cause concentration-related neurotoxicity, especially in critically ill patients with renal failure. This evaluation aimed to identify a dosing regimen providing a sufficient probability of target attainment (PTA) and the lowest justifiable risk of neurotoxicity in critically ill patients. A population pharmacokinetic model was developed based on plasma concentrations over four consecutive days obtained from 14 intensive care unit (ICU) patients. The patients received a median dose of 2,000 mg cefepime by 30-min intravenous infusions with dosing intervals of every 8 h (q8h) to q24h. A time that the free drug concentration exceeds the MIC over the dosing interval (fT>MIC) of 65% and an fT>2×MIC of 100% were defined as treatment targets. Monte Carlo simulations were carried out to identify a dosing regimen for a PTA of 90% and a probability of neurotoxicity not exceeding 20%. A two-compartment model with linear elimination best described the data. Estimated creatinine clearance was significantly related to the clearance of cefepime in nondialysis patients. Interoccasion variability on clearance improved the model, reflecting dynamic clearance changes. The evaluations suggested combining thrice-daily administration as an appropriate choice. In patients with normal renal function (creatinine clearance, 120 mL/min), for the pharmacodynamics target of 100% fT>2×MIC and a PTA of 90%, a dose of 1,333 mg q8h was found to be related to a probability of neurotoxicity of ≤20% and to cover MICs up to 2 mg/L. Continuous infusion appears to be superior to other dosing regimens by providing higher efficacy and a low risk of neurotoxicity. The model makes it possible to improve the predicted balance between cefepime efficacy and neurotoxicity in critically ill patients. (This study has been registered at ClinicalTrials.gov under registration no. NCT01793012).

Environmental quality and energy transition prospects for G-7 economies: The prominence of environment-related ICT innovations, financial and human development.

Energy transition and reducing greenhouse gas emissions are fundamental to achieving sustainable development and ensuring a bright and healthy future. To contribute to the empirical literature on these objectives, this study explores the long-term influence of environment-related ICT innovations (EICT) on energy transition and greenhouse gas emissions (GHGE) in G-7 economies for the first time, while considering financial development (FD) and human development (HD). Additionally, the study investigates the moderating role of FD with EICT and HD in energy transition and GHGE. Using a Cross-Sectional Augmented Distributed Lag (CS-ARDL) technique to tackle the issues of cross-sectional dependency and slope heterogeneity, the study evaluated data from 1990 to 2020. The results indicate that EICT, FD, and HD have a significant positive effect on long-term energy transition, and mitigate GHGE in G-7 economies. Furthermore, the influence of EICT and HD on energy transition and GHGE is amplified in the presence of financial development, as evidenced by the moderating effect of FD. Based on these facts, the study suggests various policy measures, such as investing in clean technologies and education, to promote the energy transition and environmental quality in G-7 economies to achieve sustainable development goals.

Formulating sustainable development policies for China within the framework of socioeconomic conditions and government stability.

Improvement in the environmental quality has been seen as a major concern worldwide, and a crucial agenda of the Sustainable Development Goals (SDG's). In this study, we examined the causal impacts of economic growth, financial development, nuclear energy, government stability, and socioeconomic conditions on the environmental quality of China, using quarterly data, covering the period 1984-2018. We used different proxies for environmental quality, i.e., Carbon dioxide (CO2) emissions, ecological footprints, and load capacity factor, and a unique methodology named Fourier quantile causality, recently recommended by Cheng et al. (2021), for the first time in case of China. We find that nuclear energy, and government stability are positively causing the environmental quality, while economic growth, financial development, and socioeconomic conditions are degrading the environmental quality in China, since they are linked with increased income and energy consumption. Furthermore, all the explanatory variables are largely sensitive on different quantiles to affect the environmental quality; however, economic growth is a highly causing environmental degradation. Our study suggests that increasing nuclear energy consumption along with green financial measures that simultaneously support economic growth and socioeconomic conditions can be effective tools for improving environmental quality and realizing the SDGs in China.

Global mangrove root production, its controls and roles in the blue carbon budget of mangroves.

Mangroves are among the most carbon-dense ecosystems worldwide. Most of the carbon in mangroves is found belowground, and root production might be an important control of carbon accumulation, but has been rarely quantified and understood at the global scale. Here, we determined the global mangrove root production rate and its controls using a systematic review and a recently formalised, spatially explicit mangrove typology framework based on geomorphological settings. We found that global mangrove root production averaged ~770 ± 202 g of dry biomass m-2 year-1 globally, which is much higher than previously reported and close to the root production of the most productive tropical forests. Geomorphological settings exerted marked control over root production together with air temperature and precipitation (r2 ≈ 30%, p < .001). Our review shows that individual global changes (e.g. warming, eutrophication, drought) have antagonist effects on root production, but they have rarely been studied in combination. Based on this newly established root production rate, root-derived carbon might account for most of the total carbon buried in mangroves, and 19 Tg C lost in mangroves each year (e.g. as CO2 ). Inclusion of root production measurements in understudied geomorphological settings (i.e. deltas), regions (Indonesia, South America and Africa) and soil depth (>40 cm), as well as the creation of a mangrove root trait database will push forward our understanding of the global mangrove carbon cycle for now and the future. Overall, this review presents a comprehensive analysis of root production in mangroves, and highlights the central role of root production in the global mangrove carbon budget.

A step towards achieving SDG 2030 agenda: Analyzing the predictive power of information globalization amidst technological innovation-environmental stewardship nexus in the greenest economies.

Through the transition of novel ideas, products, technologies, and business models, info-globalization facilitates the flow and expansion of cross-border information and resources. In the meantime, this stimulates the potential of informational globalization and the internet for environmental and other technological advancements, and assists to the realization of cleaner and greener production and consumption. However, prior studies have completely disregarded this facet of globalization. Thus, this novel study evaluates the role of technological innovation (TIN) and information globalization (ING) in predicting ecological footprints (EFP) and carbon emissions (CO2) in the world's top ten greenest economies. Besides, this study also unveils the moderating role of TIN and ING for environmental sustainability. The novel research employs non-parametric causality-in-quantiles approaches on quarterly data from 1994Q1 to 2019Q4 in order to quantify for causality-in-mean and causality-in-variance, since there may be no causation at first moment, but higher-order interdependencies may exist. The findings revealed that TIN and ING possess significant predictive potential for both ecological footprint and carbon emissions, indicating asymmetric predictability over environmental sustainability. Moreover, TIN and ING asserted a significant interaction role when it comes to predicting pollution levels in chosen countries. Overall, it is essential to note that natural resource conservation and pollution mitigation via green and technical innovation become a dilemma since pollution has no boundaries and will always stoke fires beyond them. The provision of financial and R&D assistance, as well as the use of mass and social media to raise awareness not only in their own regions but also in neighboring countries, might contribute to the achievement of SDG 13 and Cope26's ambition of cutting pollution by 2030.

Role of hydroelectricity and natural gas consumption on environmental sustainability in the United States: Evidence from novel time-frequency approaches.

This study analyzes time- and frequency-varying impacts of hydroelectricity energy consumption, natural gas energy consumption, and economic growth on environmental sustainability proxied by carbon dioxide (CO2) emissions in the United States of America (the US) for the period 1965/Q1 to 2020/Q4. This study is the first of its kind to contribute to the current literature by analyzing dynamic relationships among these variables in the short-, medium-, and long-term at different time frequencies in the framework of a multivariate correlation, hence providing a more comprehensive picture about the impacts of these effective factors on CO2 emissions. To meet the objectives of the study, Wavelet local multiple local (WLMC), which is a recent novel methodology developed by Polanco-Martínez et al. (2020), is applied. Moreover, the Wavelet coherence (WTC) approach is used for robustness check. The outcomes provide fresh insights into the long-term dynamic correlations among hydroelectricity energy consumption, natural gas energy consumption, economic growth, and CO2 emissions. The study discovers a robust positive co-movement between natural gas energy consumption and CO2 emissions and a negative correlation between hydro energy consumption and CO2 emissions that is the most intense on the long-term frequencies. Furthermore, economic growth causes CO2 emissions, which is evidenced by a positive relationship between both factors at short- and long-term time-frequencies. Supported by the outcomes of the study, the authors urge to suggest crucial insights and policy points for the US policymakers to shift from fossil energy to renewable energy sources to meet Sustainable Development Goals (SDGs), especially SDG-7 and SDG-13, since they induce lower emissions.

Endorsing sustainable development in BRICS: The role of technological innovation, renewable energy consumption, and natural resources in limiting carbon emission.

This research aimed to examine the complex interaction between technological innovation, renewable energy consumption, natural resources, and carbon dioxide (CO2) emissions of BRICS (i.e., Brazil, Russia, India, China, and South Africa) countries from 1990 to 2019, to accomplish the Paris Climate Conference (COP-21) objective of reducing CO2 emissions to promote environmental sustainability. The long-run empirical estimations derived from the CS-ARDL technique, which considered other estimation issues like cross-sectional dependency and slope heterogeneity, indicated that technological innovation, renewable energy consumption, and natural resources increase environmental sustainability by limiting CO2 emissions, in the short-run and long-run. The technological innovation-related activities have a CO2 mitigating effect as shown by the negative coefficients which ranges between -0.05 and -0.14. This shows that they increase environmental sustainability and aid in achieving Sustainable Development Goals (SDGs) 13. Similarly, renewable energy and natural resources decrease CO2 emissions as shown by the coefficient of renewable energy (-0.31 to -0.81) and natural resources (-0.01 to 0.95); thereby increasing ecological quality by limiting CO2 emissions. Furthermore, the interaction of technological innovation with natural resource rent and renewable energy consumption also aids in mitigating CO2 emissions and increases environmental health. Finally, panel causality analysis revealed a significant causality from all explanatory variables to CO2 emissions. Based on the results, significant policy suggestions are provided, such as improving energy effectiveness, investing in energy technologies, and increasing renewable energy consumption to stimulate technological innovation to achieve the target of a net-zero­carbon economy.

Assessment of Tocilizumab (Humanized Monoclonal Antibody) for Therapeutic Efficacy and Clinical Safety in Patients with Coronavirus Disease (COVID-19).

Background and objectives: COVID-19 patients exhibit a broad range of manifestations, presenting with a flu-like respiratory tract infection that can advance to a systemic and severe disease characterized by pneumonia, pulmonary edema, severe damage to the airways, and acute respiratory distress syndrome (ARDS, causing fatality in 70% of COVID-19 cases). A 'cytokine storm' profile is found in most severely influenced COVID-19 patients. The treatment protocol of the disease also includes tocilizumab, which is a humanized monoclonal antibody used to treat autoimmune and inflammatory conditions. This study was designed (1) to assess the role of tocilizumab in COVID-19 patients regarding therapeutic efficacy through evaluation of cytokine release syndrome (CRS) resolution and anticoagulant effect, analyzing clinical safety via monitoring of associated adverse effects profile; and (2) to compare the clinical safety and therapeutic efficacy of institutional treatment regimen (alone) versus tocilizumab added to an institutional treatment module in COVID-19 patients. Materials and Methods: In this study, the endpoints parametric assessment of severely diseased patients of COVID-19 was performed (total n = 172, control group (institutional protocol treatment provided), n = 101 and test group (tocilizumab provided), n = 71) at the Khyber Teaching Institution, MTI, Peshawar. The assessments were compared using non-parametric analyses at baseline and after a follow-up of 12−18 days until the patient discharged or expired. Results: Results of the study revealed an insignificant difference among the control vs. test group in resolving inflammatory parameters (C-reactive protein (CRP) 21.30 vs. 50.07; p = 0.470, ferritin 482.9 vs. 211.5; p = 0.612, lactate dehydrogenase (LDH) 29.12 vs.18.8; p = 0.0863, and D-dimer 464 vs.164.4; p = 0.131). However, a statistically significant difference was found between the control group and test group regarding coagulation parameters (international normalized ratio (INR) 0.12 vs. −0.07; p ≤ 0.001; activated partial thromboplastin time (aPTT) 0.42 vs. −1.16; p ≤ 0.001; prothrombin time (PT) 0.31 vs. −0.96; p ≤ 0.001; platelet count −12.34 vs. −1.47; p = 0.012) and clinical survival rate (89.10 vs. 90.14; p < 0.001). Furthermore, there was significantly higher infection rates and raised alanine aminotransferase (ALT) and alkaline phosphatase (ALP) associated with the tocilizumab group as compared to those receiving institutional treatment (bacterial infections: 0.99% vs. 15.49%; p ≤ 0.01, ALT: 3.96% vs. 28.16%; p ≤ 0.01, ALP: 1.98% vs. 22.53%; p ≤ 0.01). Conclusions: From this study, it was concluded that tocilizumab can be a better drug of choice in terms of efficacy, particularly in resolving coagulopathy in severe COVID-19 patients.

Assessment of Contributing Factors and Treatment Practices for Therapeutic Efficacy and Drug-Related Problems in Suicidal Psychotic Patients.

Suicide, a deliberate act of self-harm with the intention to die, is an emerging health concern but, unfortunately, the most under-researched subject in Pakistan, especially in Khyber Pukhtunkhwa (KPK). In this study, we aimed to identify risk factors that can be associated with suicidal behavior (SB) and to evaluate the prevailing treatment practices for therapeutic efficacy and drug-related problems (DRPs) in psychotic patients among the local population of KPK. A prospective, multicenter study was conducted for suicidal cases admitted to the study centers by randomized sampling. Socio-demographics and data on suicidal behavior were assessed using the Columbia-Suicide Severity Rating Scale (C-SSRS), socioeconomic condition by Kuppuswamy socioeconomic scale (KSES) and treatment adherence by Morisky Medication-Taking Adherence Scale (MMAS-4). Drug-related problems and the therapeutic efficacy of prevailing treatment practices were assessed at baseline and follow-up after 3 months of treatment provided. Regarding suicidality (N = 128), females reported more ideations (63.1%), while males witnessed more suicidal behavior (66.6%, p < 0.001). Suicide attempters were mostly married (55.6%, p < 0.002); highly educated (53.9%, p = 0.004); dissatisfied with their life and had a previous history (p < 0.5) of suicide attempt (SA) (20.6%), self-injurious behavior (SIB) (39.7%) and interrupted (IA) or aborted attempts (AA) (22.2%). A greater improvement was observed in patients receiving combination therapy (p = 0.001) than pharmacotherapy (p = 0.006) or psychotherapy (p = 0.183), alone. DRPs were also detected, including drug-selection problems (17.88%), dose-related problems (20.64%), potential drug−drug interactions (24.31%), adverse drug reactions (11.46%) and other problems like inadequate education and counseling (21.55%). Furthermore, it was also found that psychotic patients with suicidal ideations (SI) were significantly (p = 0.01) more adherent to the treatment as compared to those with suicidal attempts. We concluded that suicide attempters differed significantly from patients with suicidal ideations in psychotic patients and presented with peculiar characteristics regarding socio-demographic factors. A combination of therapies and adherence to the treatment provided better outcomes, and targeted interventions are warranted to address drug-related problems.

The nexus of financial development, technological innovation, institutional quality, and environmental quality: evidence from OECD economies.

The present study investigates the effect of institution quality, technological innovation, and financial development on environment quality using 37 OECD nations from 1998 to 2018. The cross-sectional dependence (CD) and Lagrange multiplier (LM) techniques are used to measure the cross-sectional dependence. The second-generation panel unit root tests and panel cointegration tests are applied to examine the unit-root properties and long-run association existence between variables. Finally, we employed the two-step (SYS-GMM) methodology to estimate the coefficient values. The findings showed that financial development has a positive effect on selected carbon (CO2) emission dimensions. When the moderating term is introduced, it was identified that institutional quality and technology innovation conditioning effects are crucial between financial development and CO2 emission. Our evidence-based study provides significant results for technology innovation and institutional quality moderating role in reducing CO2 emissions in OECD economies. Our findings are also robust to alternative measures, which could be useful for policymakers to formulate long-term and short-term strategies and policies for a better sustainable environment.

A mechanistic approach for toxicity and risk assessment of heavy metals, hydroquinone and microorganisms in cosmetic creams.

The demand and importance of fairness creams as a major cosmetic have increased significantly in recent years. However, some of these cosmetics contain heavy metals, hydroquinone and microorganism that can cause various health problems. Therefore, the aim of this study is to determine and examine the concentration of metals (i.e. Cd, Pb, Cr, Ni, Zn, Hg), hydroquinone and microorganisms in nine different fairness creams produced by local and international brands. The health risk assessment of the tested substances for consumers was accessed through systemic exposure dosage (SED), margin of safety (MoS), lifetime cancer risk (LCR), hazard quotient (HQ) and hazard index (HI). The concentration of Zn and Hg were found the highest and measured in the range of 17.82-138.06 mg.kg-1 and 2.3-141 mg.kg-1, respectively. The concentrations of other metals were determined as 0.06-0.67 mg.kg-1 of Cd, 0.43-1.55 mg.kg-1 of Cr, 0.14-1.43 mg.kg-1 of Ni and 0.3-1.34 mg.kg-1 of Pb. HPLC results showed a significant presence of hydroquinone in the range of 0.12-7.2%. The total viable counts of cosmetic samples showed the substantial presence of microorganisms, and 44% of the collected samples surpassed the permissible limit of 100 cfu/g recommended by European Union. Many of the collected samples exceeded the MoS, HQ and HI tolerance limits. However, the LCR value in all samples was significantly higher than the acceptable limit. Therefore, it is advised to avoid overuse of these products in order to ensure human safety and reduce the risks to skin health.

Environmental concerns of financial inclusion and economic policy uncertainty in the era of globalization: evidence from low & high globalized OECD economies.

Environmental consequences of financial aspects, policy uncertainties and rapid globalization is the topic of intense debate in present years. However, this study contribute to existing literature in an innovative way. We classified the 33 OECD economies in two group's lower globalized economies (LGE) and highly globalized economies (HGE), based on their level of globalization. Considering the cross-sectional dependency and slope heterogeneity in the data this study employed the Augmented Mean Group method to estimate the influence of financial inclusion, economic policy uncertainty and globalization on the environment quality of both groups for the period 1996-2019. The results revealed a negative significant impact of financial inclusion, while a positive significant impact of economic policy uncertainty on CO2 emissions in both groups, LGE and HGE. However the globalization estimated to have positive impact on CO2 emission in LGE's, in HGE's it is significantly impeding the CO2 emission. The interaction of globalization with financial inclusion and economic policy uncertainty respectively found negative and positive to effect the CO2 in both LGE's and HGE's. The study suggests that, LGE's are need to prepare for economic globalization, move toward adopting energy-efficient technology and promote trade in less-polluting products in order to sustain their environment quality. The outcomes of this study are robust by employing different model specifications.

Nanotechnology and artificial intelligence to enable sustainable and precision agriculture.

Climate change, increasing populations, competing demands on land for production of biofuels and declining soil quality are challenging global food security. Finding sustainable solutions requires bold new approaches and integration of knowledge from diverse fields, such as materials science and informatics. The convergence of precision agriculture, in which farmers respond in real time to changes in crop growth with nanotechnology and artificial intelligence, offers exciting opportunities for sustainable food production. Coupling existing models for nutrient cycling and crop productivity with nanoinformatics approaches to optimize targeting, uptake, delivery, nutrient capture and long-term impacts on soil microbial communities will enable design of nanoscale agrochemicals that combine optimal safety and functionality profiles.

Assessment of organochlorine pesticides and health risk in tobacco farming associated with River Barandu of Pakistan.

Diffuse pesticide pollution through tobacco fields is a serious threat to both natural integrities and living beings because tobacco is known as a pesticide-intensive crop. Upsurge in the knowledge of detrimental impacts caused by organochlorine pesticides (OCPs) has made them a burning issue particularly in developing countries. Pakistan is a country famous for its agro-based economy and simultaneously is the second most significant pesticide consumer in South Asian countries. The studied area is tobacco hub of the country. Thus, the present work is aimed to investigate the contamination profile that highlights the ecological and health risk posed by OCPs in River Barandu, located in the proximity of tobacco farming region. ΣOCP levels in sediments ranged between 32.918 and 98.810 ng/g and in water between 0.340 and 0.935 µg/L. Hexachlorocyclohexanes (HCHs) and heptachlor were the most prevailing pesticides in both matrices of the river. Isomeric composition of DDTs and HCHs highlighted that the ß-HCH and p,p'-DDT were dominant isomers in water, while α-HCH and p,p'-DDT in sediment compartment. Enantiomeric compositions of HCH and DDT indicate both recent and historic uses of these compounds in the area. Indirect contamination through nearby tobacco clusters has been depicted through spatial analysis. Ecological risk assessment based upon the risk quotient (RQ) method revealed that α-endosulfan, dieldrin, heptachlor, and ∑HCHs represent a very high level of ecological risks. The OCPs' lifetime carcinogenic and non-carcinogenic health risks associated with dermal exposure to river's water were considered nominal for surrounding populations. However, detailed ecological and health risk studies are recommended considering the bio-accumulating nature of these contaminants in the food chain.