Search

Implementing policy combinations that neither negatively impact economic performance nor create the least amount of harm is the most crucial factor to consider in policy practices that promote environmental quality. In this regard, green growth, which harmonises both environmental and economic performance, gains importance. Based on this, this study analyses the effects of foreign direct investments, financial development, and financial globalisation on green growth for BRICS countries for the period 1990-2021. For this purpose, the effects of these factors on green growth are investigated using novel wavelet quantile regression and wavelet quantile correlation techniques. The findings show that while foreign direct investment inflow harms green growth in countries other than South Africa, there is a positive effect for South Africa. On the other hand, financial development and financial globalisation have adverse effects on green growth only in South Africa but have an increasing effect on green growth in other countries., 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 Elsevier Ltd. All rights reserved.)

The technique of fertilizer consumption increases yields from agriculture, but because it involves chemicals, there are disagreements regarding how it affects the environment. Based on this, the aim of this study is to investigate the effects of fertilizer consumption on load capacity factor in Turkey through novel technique (multivariate quantile-on-quantile regression) for the period 1970-2021. In this regard, factors that have significant effects on the environment, such as trade globalization, renewable energy usage, natural resources, are also included in the empirical model to avoid omitted variable bias. In addition, real national income and the square of real national income are also included in the model to check the validity of the possible load capacity curve (LCC) hypothesis. According to the findings of the study, a U-shaped relationship between economic growth and environmental quality is valid, thus proving the existence of the LCC hypothesis. Additionally, trade globalization and fertilizer consumption appear to increase environmental damage. On the other hand, renewable energy consumption increases load capacity. In addition, Kernel-based regularized least squares technique is used for robustness control. According to the findings obtained from here, 1 % increase in fertilizer consumption reduces the load capacity factor by 0.03 %. Based on the findings, policy recommendations are made to provide subsidies or financial incentives for the use of organic fertilizers and biofertilizers. Indeed, these alternatives can increase load capacity by improving soil health and reducing chemical runoff., 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 Elsevier B.V. All rights reserved.)

Increasing energy vulnerability can cause environmental pollution by increasing fossil fuel consumption. If it leads to cost-cutting-oriented industry growth, financial development can lead to environmental regulations being ignored, compromising environmental quality. Political globalization and economic growth can increase short-term environmental pressures, straining long-term ecological balance and causing habitat loss and pollution. This study investigates the impact of energy vulnerability, financial development, and political globalization on environmental sustainability in Turkey for the 2000-2019 period using with wavelet quantile-based techniques. According to results, while the negative effect of energy vulnerability on environmental quality is lower in the short term, the size of the effect increases in the medium and long term. In addition, at low quantiles of environmental quality, the negative effect of financial development is low in the short and long term, while the effect becomes evident in the long term. Moreover, the effects of political globalization on environmental quality are positive in all quantiles. Additionally, the harmful effects of economic growth are more evident at lower quantiles of environmental quality. Turkey should increase its clean energy investments by using its geographically advantageous location. Policymakers should also prioritize environmental regulations and promote sustainable practices in industries. Incentives for cleaner production technologies and environmentally friendly initiatives can help steer the financial sector towards more responsible and environmentally friendly practices. Additionally, the study suggests that increasing institutional capacity and aligning national policies with international agreements can accelerate the positive effects of political globalization., 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 Elsevier Ltd. All rights reserved.)

Neuropilin-1 (NRP1) which is a main transmembrane cell surface receptor acts as a host cell mediator resulting in increasing the SARS-Cov-2 infectivity and also plays a role in neuronal development, angiogenesis and axonal outgrowth. The goal of this study is to estimate the impact of single nucleotide polymorphisms (SNPs) in the NRP1 gene on the function, structure and stabilization of protein as well as on the miRNA-mRNA binding regions using bioinformatical tools. It is also aimed to investigate the changes caused by SNPs in NRP1 on interactions with drug molecule and spike protein. The missense type of SNPs was analyzed using SIFT, PolyPhen-2, SNAP2, PROVEAN, Mutation Assessor, SNPs&GO, PhD-SNP, I-Mutant 3.0, MUpro, STRING, Project HOPE, ConSurf, and PolymiRTS. Docking analyses were conducted by AutoDock Vina program. As a result, a total of 733 missense SNPs were determined within the NRP1 gene and nine SNPs were specified as damaging to the protein. The modelling results showed that wild and mutant type amino acids had some different properties such as size, charge, and hydrophobicity. Additionally, their three-dimensional structures of protein were utilized for confirmation of these differences. After evaluating the results, nine polymorphisms rs141633354, rs142121081, rs145954532, rs200028992, rs200660300, rs369312020, rs370117610, rs370551432, rs370641686 were determined to be damaging on the structure and function of NRP1 protein and located in conserved regions. The results of molecular docking showed that the binding affinity values are nearly the same for wild-type and mutant structures support that the mutations carried out are not in the focus of the binding site, therefore the ligand does not affect the binding energy. It is expected that the results will be useful for future studies., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Global warming has progressed into a pressing global concern, primarily driven by human activities. To address this issue, it is vital to identify the key drivers of ecological quality and develop effective policies in response. Consequently, this study seeks to empirically examine the causal effect of financial globalization, economic growth, economic policy uncertainty, and oil consumption on the load capacity factor (LF) in Brazil. The analysis utilizes quarterly data spanning from 1990 to 2021. In this pursuit, the study introduces an array of quantile-based methodologies, encompassing quantile ADF, PP, and KPSS tests, as well as the innovative Quantile-on-Quantile Granger Causality (QQGC) approach. The QQGC represents a notable advancement beyond traditional quantile Granger causality (QGC) methods, as it accounts for the conditional distribution of dependent and independent variables. This study bridges a critical gap in the existing literature by introducing the QQGC to capture the causal influence of the regressors on LF. The findings derived from the QQGC analysis indicate that financial globalization, economic growth, economic policy uncertainty, and oil consumption significantly predict LF across all quantiles. These results offer valuable insights that can inform the formulation of effective policies and strategies aimed at addressing ecological quality and mitigating the impacts of global warming., Competing Interests: 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., (© 2024 The Authors.)

The determinants of environmental degradation have been investigated many times by utilizing carbon dioxide emissions and/or ecological footprint. However, these traditional environmental degradation indicators do not consider the supply side of environmental problems. Therefore, this study focuses on the dynamic influence of financial development, energy efficiency, economic growth, and technological innovation on environmental degradation in India through the load capacity factor, including both the supply and demand sides of environmental problems. For that purpose, the recently developed dynamically simulated autoregressive distributed lag (ARDL) method is employed using the annual time-series data extending from 1980-2020. The dynamically simulated ARDL results demonstrate that financial development, economic growth, and technological innovation have a dynamic adverse impact on the load capacity factor, whereas energy efficiency has a positive dynamic influence on environmental quality. In addition, the results support the validity of the environmental Kuznets curve hypothesis as the negative effect of economic growth on environmental quality decreases over time. Based on the study findings, policy recommendations are provided for India. Finally, this study utilizing load capacity factor as an indicator for environmental quality will provide new topics in exploring the determinants of environmental degradation., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Sustainable investment is widely regarded as an important market-based approach to achieving inclusive green growth. To achieve the inclusive green growth objective, companies providing sustainable products must be profitable enough to attract private capital. Oil price changes can however affect the profitability of such companies. This study assesses volatility transmission between crude oil prices and sustainable investment in the USA. Using the dynamic conditional correlation-generalized autoregressive conditional heteroskedasticity (DCC-GARCH) method, daily data from September 28, 2012, to October 19, 2022, is analyzed. There are several key findings from this analysis. The risk connectedness of crude oil and sustainable investment is found to vary with time. Results further show that the risk connectedness increases in periods of important economic and geopolitical events. The greatest risk connectedness of crude oil and sustainable investment is observed during the outbreak of coronavirus disease (COVID-19). Moreover, the result shows that crude oil is the main risk transmitter, whereas, both the energy efficiency and pollution mitigation indices (i.e., sustainable investment) are risk receivers, and crude oil is constantly dominating sustainable investment. The study findings provide valuable insights for investors and policymakers alike., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Uncertainties surrounding climate change policies of the United States introduce some degree of risk into sustainable investment decisions in the country. This study is an attempt to provide a new perspective on the nature of this problem. Both the traditional and time-varying nonparametric quantile causality techniques are employed in investigating the effects of climate policy uncertainty on sustainable investment in the United States. Weekly time-series data from October 17, 2010, to August 28, 2022, is used for empirical analysis. Results from the traditional nonparametric quantile causality analysis reveal that climate policy uncertainty has a significant causal effect on both sustainable investment returns and volatility. The results also show that the impact on sustainable investment volatility is greater than the impact on sustainable investment returns. The time-varying nonparametric quantile causality analysis confirms that climate policy uncertainty in the United States affects both the returns and volatility of sustainable investment and that the impact is greater for volatility. It is recommended that governments and policymakers ensure that climate policy objectives are properly defined and adhered to, such that regulatory uncertainty would be limited and private sector participation in sustainable investment would be encouraged. İn addition, policies clearly designed to incentivize sustainable investment by integrating risk premiums into expected profits could be employed., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The phenomenal growth experienced by Turkey at the turn of the millennium is attributed in part to increased participation in global value chains. While participation in global value chains has been beneficial to the Turkish economy, it also poses unique environmental challenges. Consequently, this study focuses on shedding some light on the environmental externality of Turkey's participation in global value chains. This article examines the environmental effects of Turkey's participation in global value chains for the period 1990-2018, using a dynamic ARDL analysis. The study further compares the environmental effects of Turkey's backward and forward linkages into global value chains, so as to determine which contributes more to carbon emissions. The cointegration test results and dynamic ARDL simulations confirm the existence of a long-run relationship between the environment and global value chain participation. All measures of global value chain participation display a positive long-run impact on carbon emissions. The results also show that the polluting effect of backward and forward linkages into global value chains is not too different. The study finding suggests that Turkey is being assigned segments of the value chain that require dirtier production processes through incentives from global trade integration, thus making Turkey a pollution haven. It is concluded that this is because other countries continually source for inputs requiring dirty production processes from Turkey, as Turkey also exports final goods that are produced using eco-unfriendly techniques. Policymakers in Turkey therefore need to follow more environmentalist policies in the process of global value chain participation., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The sorption kinetics of two of the most frequently used antibiotics onto recycled (weathered) polyvinyl chloride (PVC) was investigated, using Freundlich and Langmuir isotherm models. Various experimental conditions were set, including pH, contact time, rotational speed, temperature, and initial concentration. The batch experimental results indicated that Freundlich model was better fitted than Langmuir (R 2 : 98.7 and 84.7, for CIP and CLA respectively). Maximum adsorption capacity is 45.9 mg/g and 22.0 mg/g for CIP and CLA, respectively. Enthalpy (ΔH), and entropy (ΔS) values were negative for CIP, indicating that the reaction was exothermic and spontaneous, respectively. It was vice versa for CLA. Field emission scanning electron microscope (FESEM) and Fourier transform infrared spectrometer (FT-IR) analysis confirmed the physical adsorption mechanism. The results demonstrated that the recycled PVC microplastic has a good capacity for adsorption for both antibiotics.

Various recently reported mutant variants, candidate and urgently approved current vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), many current situations with severe neurological damage and symptoms as well as respiratory tract disorders have begun to be reported. In particular, drug, vaccine, and neutralizing monoclonal antibodies (mAbs) have been developed and are currently being evaluated in clinical trials. Here, we review lessons learned from the use of novel mutant variants of the COVID-19 virus, immunization, new drug solutions, and antibody therapies for infections. Next, we focus on the B 1.1.7, B 1.351, P.1, and B.1.617 lineages or variants of concern that have been reported worldwide, the new manifestations of neurological manifestations, the current therapeutic drug targets for its treatment, vaccine candidates and their efficacy, implantation of convalescent plasma, and neutralization of mAbs. We review specific clinical questions, including many emerging neurological effects and respiratory tract injuries, as well as new potential biomarkers, new studies in addition to known therapeutics, and chronic diseases of vaccines that have received immediate approval. To answer these questions, further understanding of the burden kinetics of COVID-19 and its correlation with neurological clinical outcomes, endogenous antibody responses to vaccines, pharmacokinetics of neutralizing mAbs, and action against emerging viral mutant variants is needed., Competing Interests: CONFLICT OF INTEREST: none declared, (Copyright © 2021 The Author(s).)

Purpose: Angiotensin receptor blockers (ARBs) were shown to have antifibrotic properties in ocular and systemic diseases. In this study, our aim was to investigate the effect of an angiotensin receptor blocker, valsartan, on pterygium fibroblasts and compare this effect with that of mitomycin C (MMC)., Methods: Pterygium tissue samples were obtained from 3 patients during surgical excision. Primary cultured pterygium fibroblasts and L929 cell cultures were treated with different concentrations of MMC and valsartan., Results: The cell viability decreased with increasing concentrations of valsartan at 48 hours for both cell types. MMC inhibited the proliferation of both cell types at 48 hours. Both agents significantly decreased the cell migration of the 2 cell types, although it was more prominent in the MMC-treated group., Conclusions: Valsartan inhibited the proliferation and migration of pterygium fibroblasts. The known favorable safety profile of these drugs and the results of this study showing inhibitory effect on pterygium fibroblasts make valsartan a potential therapeutic agent for pterygium treatment.

Bisphenol-A (BPA) used in the production of plastic materials is a temperature-soluble agent. It also has a steroid hormone-like activity; therefore, it poses a danger to human health. In our study, we aimed to investigate the effects of BPA on lymph node and spleen in male rats exposed to this agent during prenatal stage. The pregnant female rats were divided into four groups: control, sham, low dose (300 µg/kg BPA), and high dose (900 µg/kg BPA). BPA was dissolved in 1 mL of corn oil and administered to the pregnant rats every day during pregnancy. On the 21st and 45th day after the birth, male rats' lymph node and spleen samples were taken and histopathological examination was performed. Samples were stained with hematoxylin and eosin to determine the general histological appearance, and with CD3 and CD20 immunohistochemically. The results of staining were evaluated by H-score, and statistical analysis was performed. In the samples, BPA applications were not found to cause significant tissue damage. But there was a significant decrease in the immunoreactivities of CD3 and CD20 after BPA applications in both 21st and 45th day samples. After high dose BPA administration, decreased CD3 immunoreactivity was statistically significant. It is thought that BPA does not cause histologically significant tissue damage, but it may impair organ function at cellular level. The investigation of molecules involved in organ function will be useful in revealing the mechanisms that will cause dysfunction.

The apoptotic protease activating factor 1 ( APAF1 ) gene encodes a cytoplasmic protein that initiates apoptosis and is a crucial factor in the mitochondria-dependent death pathway. APAF1 is implicated in many pathways such as apoptosis, neurodegenerative diseases, and cancer. The purpose of this study was to predict deleterious/damaging SNPs in the APAF1 gene viain silicoanalysis. To this end, APAF1 missense SNPs were obtained from the NCBI dbSNP database . In silico analysis of the missense SNPs was carried out by using publicly available online software tools. The stabilization and three-dimensional modeling of mutant proteins were also determined by using the I-Mutant 2.0 and Project HOPE webservers, respectively. In total, 772 missense SNPs were found in the APAF1 gene from the NCBI dbSNP database, 18 SNPs of which were demonstrated to be deleterious or damaging. Of those, 13 SNPs had a decreasing effect on protein stability, while the other 5 SNPs had an increasing effect. Based on the modeling results, some dissimilarities of mutant type amino acids from wild-type amino acids such as size, charge, and hydrophobicity were revealed. The SNPs predicted to be deleterious in this study might be used in the selection of target SNPs for genotyping in disease association studies. Therefore, we could suggest that the present study could pave the way for future experimental studies., Competing Interests: CONFLICT OF INTEREST: none declared, (Copyright © 2019 The Author(s).)