Search Results (247)

Conductive polymer composites with a segregated structure are a promising route to obtaining electrically active materials at low filler loadings. In this work, aminated graphene (AmG) was used as a functional conductive filler for the fabrication of composites with a segregated structure based on polyvinyl chloride (PVC) and poly(vinylidene fluoride-co-tetrafluoroethylene) (P(VDF-TFE)). AmG was comprehensively characterized by electron microscopy, core-level and near-edge spectroscopy, optical spectroscopy, and electrical measurements. The synthesized AmG contained 14.34 at.% nitrogen, with amines accounting for 81.44% of the nitrogen-related spectral intensity, corresponding to an amine concentration of 11.78 at.%. AmG also exhibited a restored π-conjugated network, intrinsic conductivity of 20–33 S/cm, and a crumpled-flake morphology favorable for interfacial contact with polymer particles. At a filler loading of only 1 wt.%, the segregated composites reached electrical conductivity up to 1.3–1.4 × 10⁻⁴ S/cm, exceeding those of the unfilled polymers by seven orders of magnitude. At 11 GHz, the AmG-filled P(VDF-TFE) composite showed 15.1 dB attenuation for a theoretical thickness of 30 mm, transmitting no more than 3% of the incident radiation. These results identify AmG as a functional conductive filler for segregated electrically conductive polymer composites and demonstrate that the combination of amine-containing surface chemistry, restored electrical conductivity, and crumpled morphology enables conductive interparticle network formation in PVC- and P(VDF-TFE)-based composites at only 1 wt.% filler loading. Full article

Protein–protein interactions (PPIs) are critical for cellular signaling, apoptosis regulation, and immune function in the body, and dysregulation is a hallmark of cancer. The large, dynamic, and shallow nature of PPI interfaces rendered them “undruggable” by conventional small molecules in the past. Recent advances in structural biology, chemical innovation, and artificial intelligence have revolutionized the landscape of PPI-directed drug discovery. This review summarizes the mechanistic roles of PPIs in oncogenesis, critically discusses novel therapeutic interventions, such as small molecules, peptidomimetics, stapled peptides, proteolysis-targeting chimeras (PROTACs), molecular glues, and AI-based drug optimization strategies, altering the druggable proteome in oncology. Therapeutics with clinically well-validated action, including Venetoclax and AMG 510, and next-generation candidates demonstrate the translational applications of these approaches. Some of the key challenges, such as interface complexity, specificity, bioavailability, and resistance, are addressed together with countermeasures like rational design, combination therapies, enhanced delivery systems, and biomarker-based patient selection. To this end, the incorporation of multi-omics data and artificial-intelligence (AI)-driven modeling technologies is revolutionizing the personalized cancer therapeutics development space. Collectively, these advances mark a paradigm shift: PPIs, once considered inaccessible, are now at the forefront of precision oncology, offering new hope for patients with previously intractable malignancies. Full article

Deposition of three key 4-alkyl branched-chain fatty acids (KBCFA), including 4-methyloctanoic acid (MOA), 4-ethyloctanoic acid (EOA), and 4-methylnonanoic acid (MNA), causes the gamey flavor in sheep meat. This study integrated metagenomics and metabolomics to evaluate how Allium mongolicum Regel (AMR) supplementation (15 g/d) and rumen fluid transplantation (RFT) modulate rumen microbiota and hepatic metabolism to reduce KBCFA in lamb longissimus thoracis muscle. The experiment consisted of two phases. In Phase I, twelve 3-month-old male Dorper × Small Tailed Han sheep (25 ± 1 kg) were selected as the rumen donor group. These sheep were supplemented with 15 g/d/head of AMR powder in their basal diet until the end of the experiment. In Phase II, thirty 3-month-old male Dorper × Small Tailed Han sheep (23 ± 2 kg) were randomly assigned to one of three groups (n = 10 per group): the control group (STG), which was fed the basal diet and received a physiological saline transplant; the AMR group, which was fed the basal diet supplemented with 15 g/d/head of AMR powder and received a physiological saline transplant; and the rumen fluid transplant group (RTG), which was fed the basal diet and received a rumen fluid transplant from the donor group. Compared to the STG, results showed that the MOA, EOA, and MNA in the AMG decreased by 64.51%, 54.72%, and 49.34%, respectively. Similarly, the MOA, EOA, and MNA in the RTG were reduced by 63.13%, 56.17%, and 49.60%, respectively (p < 0.001). For the rumen metagenome, AMR enriched the genus Prevotella, while RFT increased Butyrivibrio. Hepatic metabolomics revealed a distinct shift where AMR elevated amino acid derivatives and RFT enhanced carnitine-related metabolites. These alterations indicate a potential metabolic shift associated with amino acid metabolism and mitochondrial β-oxidation, rather than lipid elongation. We postulate that this coordinated regulation across the rumen–liver–muscle axis may alter the availability of lipogenic precursors for KBCFA synthesis, ultimately contributing to improved meat flavor. Full article

The NEET category refers to the proportion of young people who are neither employed nor in education or training. The success of Sustainable Development Goal 8 largely depends on reducing the number of NEETs, one of its sub-goals. This study examines the long-term impact of gross domestic product, human development, social globalization, and patent applications on NEET in eight EU countries during 1991–2021, within the framework of SDG 8. For long-run estimation, the study employs panel data techniques that account for cross-sectional dependence and heterogeneity, specifically the Augmented Mean Group (AMG) and Regularized Common Correlated Effects (RCCE) estimators. According to country-specific findings, PA has a statistically significant effect in reducing NEET rates in France and Spain, while human development has a similar effect in Portugal. In contrast, economic growth and social globalization do not exhibit statistically significant effects on NEET rates at the country level. The results underscore that, in high-income EU countries, policies designed to simultaneously enhance human development and innovation capacity are central to tackling the NEET issue, consistent with the objectives of Sustainable Development Goal 8. The study contributes to the literature by providing a comparative empirical assessment of NEET determinants within a framework that accounts for cross-country heterogeneity and multiple structural factors. Full article

The human corneal endothelium (HCE) is critical for maintaining corneal transparency. Dysfunctions due to cell loss are linked to altered intracellular calcium ([Ca²⁺]_i) homeostasis. Transient receptor potential channels (TRPs) are key regulators of [Ca²⁺]_i, and both L-ascorbic acid (Asc) and cannabinoid receptor (CB) agonists have been implicated in modulating TRP activity. This study investigated the effects of 1 mM Asc and the CB agonist WIN 55,212-2 (WIN) (10 µM) on [Ca²⁺]_i regulation in human corneal endothelial cells (HCECs). HCEC-12 was used as the established HCE cell model. [Ca²⁺]_i dynamics were assessed by fura-2/AM fluorescence imaging, and membrane currents were analyzed using planar patch-clamp recordings. Adding 1 mM Asc increased [Ca²⁺]_i, which was partially suppressed by the TRPV1 blocker AMG-9810 (AMG) (20 µM) and the TRPV4 blocker GSK2193874 (GSK219) (10 µM). Furthermore, 1 mM Asc increased whole-cell currents. WIN also induced [Ca²⁺]_i transients that were partially attenuated by AMG, the TRPM8 blocker AMTB (20 µM), GSK219, and the CB1 inverse agonist AM251 (10 µM). In addition, combined treatment with Asc and WIN enhanced [Ca²⁺]_i elevations compared with either treatment alone. These findings provide the first evidence for a functional interaction between TRP channel activity and CB signaling in HCECs. The inhibitory effect of AM251 suggests a predominant contribution of CB1 receptors. Given the central role of Ca²⁺ homeostasis in corneal endothelial function and disease, these results may contribute to a better understanding of endothelial pathophysiology and support further investigation of TRPs and cannabinoid signaling as potential targets in corneal disorders. Full article

This study investigates the determinants of GDP per capita across 26 European Union member states over the period of 2006–2024, with a particular focus on entrepreneurship, institutional quality, and macroeconomic factors. Given the presence of long-run income differences across EU countries, the analysis explicitly accounts for structural heterogeneity in economic development and institutional capacity. To ensure robust estimation in the presence of cross-sectional dependence and slope heterogeneity, the study employs advanced panel econometric techniques, including tests for cross-sectional dependence, unit roots, and cointegration. Long-run relationships and short-run dynamics are estimated using the Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) model, complemented by robustness checks based on the Augmented Mean Group (AMG) and Common Correlated Effects Mean Group (CCEMG) estimators. In addition, the Method of Moments Quantile Regression (MMQR) is applied to capture heterogeneity across different points of the income distribution, thereby reflecting long-run income disparities among EU member states. The empirical results confirm the existence of a stable long-run equilibrium relationship among the variables. The baseline CS-ARDL estimates indicate that institutional quality, entrepreneurial activity, trade openness, and government expenditure exert positive and statistically significant effects on GDP per capita, while financial development exhibits a negative effect and foreign direct investment remains insignificant. In the short run, entrepreneurship and trade openness contribute positively to GDP per capita, whereas government expenditure and credit expansion generate contractionary effects. The robustness analysis using AMG and CCEMG estimators largely supports these findings, as the direction of the coefficients remains consistent across alternative specifications, although some variation in statistical significance is observed due to differences in the treatment of cross-sectional dependence and unobserved common factors. The MMQR results further reveal substantial heterogeneity across the income distribution, indicating that the effects of key determinants vary depending on countries’ long-run income levels. In particular, trade openness and institutional quality exert stronger positive effects in lower-income quantiles, while the adverse effects of excessive financial development are more pronounced in higher-income quantiles. Overall, the findings underscore the importance of promoting productive entrepreneurship, strengthening institutional frameworks, facilitating trade integration, and ensuring efficient financial intermediation to enhance GDP per capita within the European Union. The results also highlight the need for differentiated policy approaches that explicitly account for long-run income heterogeneity, structural differences, and varying institutional capacities across EU member states. Full article

Viruses are key regulators of marine microbial communities, yet their temporal dynamics in tropical intertidal sediments remain poorly characterized. We conducted a year-long metagenomic survey of sandy intertidal sediments in Sanya Bay (60 monthly samples from five sites) to examine viral taxonomy, community structure, lytic proteins, and auxiliary metabolic genes (AMGs). Within the classifiable fraction, the assemblages were consistently dominated by Assiduviridae. However, NMDS analysis revealed a significant overall seasonal shift, with October–December samples separating from the rest of the year. Co-occurrence network analysis identified five co-occurrence modules with distinct temporal patterns, alongside a concurrent decline in module abundance and lytic proteins in October. Functional annotation showed that cysteine and methionine metabolism, primarily driven by DNA methyltransferases, was identified as a highly represented AMG category among the annotated functions, while other pathways displayed seasonal variability. Collectively, these findings suggest that although characterized by a classifiable fraction dominated by Assiduviridae, the highly complex tropical intertidal viral communities undergo substantial seasonal reorganization in structure and functional potential. Full article

This study explores the impact of renewable energy consumption on environmental quality in ten OECD economies over the period 1990–2024, aiming to assess its contribution as a structural driver of decarbonization in advanced economies. Given the presence of strong cross-sectional dependence and heterogeneous country dynamics, the analysis employs second-generation panel econometric techniques. Stationarity is assessed using the CIPS unit root test. Long-run relationships are examined using the Westerlund error-correction-based cointegration approach. Long-run elasticities are estimated using the Common Correlated Effects Mean Group (CCE-MG) and Augmented Mean Group (AMG) estimators. Short-run dynamics are analyzed within a panel error-correction framework. The results confirm the existence of a stable long-run equilibrium relationship among the variables. Renewable energy consumption is associated with a negative effect on CO₂ emissions, with the CCE-MG estimate indicating that a 1% increase in renewable energy reduces emissions by approximately 0.067%, although the long-run statistical significance remains marginal. In the short run, renewable energy is also associated with lower emissions, indicating both structural and immediate mitigation dynamics. By contrast, energy consumption and financial development increase emissions, while economic growth does not exhibit a robust long-run effect, providing no support for the Environmental Kuznets Curve hypothesis. The error-correction term confirms rapid convergence toward long-run equilibrium. Robustness analysis using carbon intensity as an alternative environmental indicator yields consistent findings. In sum, the results suggest that renewable energy expansion should be complemented by energy efficiency policies and the reorientation of financial systems toward green investments to achieve effective decarbonization. From a policy perspective, coordinated strategies integrating renewable deployment, efficiency improvements, and sustainable finance are essential for achieving long-term environmental sustainability in OECD economies. Full article

Several successive crises during the first three decades of the third millennium created the premises for a world that, after expanding international relations, entered a new reality of slowbalization or deglobalization, shaping new development paradigms for national economies. In this context, where economic activity remains highly sensitive to energy market disruptions and strategic resource constraints, nations seek new opportunities to reduce their foreign dependencies through energy diversification and a green transition. Nations are seeking strategies to leverage their advantages and moderate their weaknesses. This research evaluates the relationship between energy-related features and economic growth in a complex context, describing dependency on foreign markets. Furthermore, the study discusses the effects of a selection of variables describing the green transition (energy import dependency, energy diversification, and the share of renewable energy) on economic growth. The data covers the period between 1995 and 2024 for 25 European countries. The study uses cross-sectionally ARD (CS-ARDL) for the main empirical analysis and augmented mean group (AMG) to check the robustness of the main results. Furthermore, the method of moments quantile regression (MMQR) is employed to capture the impact more precisely across various stages of countries’ development. The findings suggest a direct relationship between employment and renewable energy adoption across all quantiles. Moreover, the negative coefficient for the energy dependency in the first quantile documents an increased sensitivity of less developed economies to energy market uncertainties. Full article

The predatory bug Arma custos (Hemiptera: Pentatomidae) is a natural enemy insect capable of preying on over 40 types of agricultural and forestry pests. Here, we describe the characteristics of the morphology and ultrastructure of its venom apparatus visualized using light and electron microscopy. Light microscopy revealed that the venom apparatus of A. custos consists of a pair of main gland and tubular accessory gland. The main gland consist of two lobes, the anterior main gland (AMG) and posterior main gland (PMG). Between the two lobes of the main gland, there is a strong constriction, characterizing a hilum (Hi) where two separate ducts, the venom duct of the main gland (VD) and the duct connecting the accessory gland to the main gland (AMD), are inserted. The VD extends toward the head and connects to the venom pump (VP), while the AMD extends toward the thorax and connects to the accessory gland (AG). Ultrastructural examination of the venom glands reveals that the AMG and PMG consist of a layer of cubic or spherical glandular cells forming a large circular lumen, while the AG exhibits two narrow lumens. The secretory cytoplasm of AMG, PMG, and AG contains a well-developed rough endoplasmic reticulum, along with mitochondria, nuclei, secretory vesicles, autophagosomes, and secretory granules. However, significant differences exist in the ultrastructural characteristics among the three glands. Unlike glandular secretory cells in the venom glands, the ultrastructure of VD, and AMD reveals only well-developed nuclei, mitochondria, and elaborate plasma membrane folds. These results indicate that venom proteins are synthesized and stored by the AMG, PMG, and AG, while the VD and AMD ducts are responsible for transporting the venom. Full article

Decoupling between CO₂ emissions and economic growth is critical to reversing climate change. The OECD plays a crucial role in this regard, given its considerable share of global CO₂ emissions and GDP. This study examines the decoupling performance and the roles of renewable energy transition, as well as specific eco-innovations on climate change mitigation and environmental technology development across the OECD economies. The preliminary tests on a large panel of OECD countries identify cross-sectional dependence, structural breaks and heterogeneity. For robustness, the study proposes Fourier-CS-ARDL, Fourier-AMG, and Fourier–Dumitrescu–Hurlin methods as generalizations of their linear counterparts. After identifying cointegration and its singularity with Fourier-bootstrapping bounds and Fourier–Johansen tests, the modeling stage suggested a positive, but significantly inelastic long- and short-run elasticity of emissions to economic growth. Most of these effects are reversed by renewable energy transition in the long run and partially reversed in the short run. These CO₂ mitigation effects are also evident across different eco-innovations with varying temporal impacts. Novel Fourier causality tests identify feedback loops between CO₂ and CO₂-mitigating factors, as well as unidirectional causality from growth to all mitigating factors, confirming the indirect effect of growth on CO₂ mitigation. Overall, these results clearly suggest “relative” decoupling in OECD accompanied by CO₂e mitigation effects from eco-innovations and energy transition, and highlight the potential for green growth following the successful adaptation of energy transition and eco-innovations. Policymakers in OECD are encouraged to leverage the identified feedback mechanisms and establish international technology transfer policies to homogenously curb CO₂ emissions. Full article

This paper investigates the determinants of tourism in selected Asian economies over the period 1995–2024, employing the Augmented Mean Group (AMG) estimator to account for cross-sectional dependence, unobserved common factors, and heterogeneous country-specific dynamics. As a robustness check, method of moments quantile regressions (MMQRs) are applied to examine how the effects of GDP, consumer prices, foreign direct investment (FDI), trade openness, and institutional quality vary across the distribution of tourism inflows. The results indicate that GDP consistently promotes tourist arrivals, particularly in countries with lower to median tourism inflows, while higher consumer prices reduce tourism demand across all quantiles. FDI and trade openness positively influence tourism, with FDI’s impact amplified in countries with stronger institutional quality. The MMQR analysis further highlights substantial heterogeneity: emerging economies benefit more from FDI and institutional reforms, whereas advanced economies rely primarily on GDP growth, trade integration, and high-quality tourism services. Overall, the findings underscore the complementary roles of macroeconomic fundamentals, foreign investment, trade, and governance in supporting sustainable long-run tourism growth in Asia, while demonstrating the value of distributional analysis for capturing heterogeneous effects. Full article

This study examines the relationship between government spending on sports and recreation and economic growth based on two distinct views: Wagner’s Law and Keynesian theory. While previous research has largely focused on total government spending, this study emphasizes the importance of analyzing specific spending categories. Panel data from 30 European countries from 2001 to 2023 were analyzed using several econometric techniques, including cross-sectional dependency tests, CIPS unit root tests, Westerlund cointegration, the Dumitrescu–Hurlin panel causality test, and the Augmented Mean Group (AMG) estimator. The findings suggest a relationship between economic growth and sports and recreation spending from the Wagnerian perspective, while the Keynesian perspective is not supported. The Dumitrescu–Hurlin panel causality analysis confirms a unidirectional relationship from economic growth to sports and recreation spending. These results suggest that economic growth drives public investment in these sectors rather than vice versa. This study contributes to the literature by offering a disaggregated analysis of public spending and its macroeconomic implications. The findings also provide useful insights for policymakers, particularly when designing growth-responsive strategies for public investment in sports and recreation. Full article

The extent of consumer approval for lamb is intimately connected to meat quality standards. Within this context, the distinctive ‘mutton taint’ serves as a critical benchmark for assessment, a characteristic that is largely governed by the concentrations of three fundamental branched-chain fatty acids (KBCFA), specifically 4-methyloctanoic acid (MOA), 4-ethyloctanoic acid (EOA), and 4-methylnonanoic acid (MNA). While Allium mongolicum Regel (AMR)—an Allium species prevalent in arid Asian regions known for its abundant bioactive constituents—is known to improve meat quality and mitigate these off-flavors, the potential mediating role of the rumen fluid in this process remains unclear. This study investigated whether rumen fluid transplantation (RFT) from AMR-fed donors could mimic the impacts of directly adding AMR to the diet on KBCFA accumulation and meat attributes. Thirty male lambs (23 ± 2 kg BW) were allocated at random into three distinct treatments (n = 10): a control set (CON), a dietary supplementation group administered 15 g/d of AMR (AMG), along with a rumen fluid transplantation treatment (RTG) inoculated with rumen fluid from AMR-fed donors. The carcass traits, physicochemical properties, and makeup of amino acids, as well as the fatty acid constitution of the longissimus thoracis muscle, were subjected to analysis. Data revealed that the levels of KBCFAs associated with off-flavors were markedly lowered in both the AMG and RTG. Specifically, decreases ranging from 49% to 64% were observed in MOA, EOA, and MNA concentrations (p < 0.05). Relative to the control group, drip loss and cooking loss were reduced in the treatment groups (p < 0.05), whereas ash (p = 0.047) and crude protein (p = 0.001) were increased. Moreover, the interventions improved the composition of essential amino acids (EAA), flavor-enhancing amino acids, and polyunsaturated fatty acids (PUFAs). In conclusion, rumen fluid transplantation effectively replicates the beneficial effects of dietary AMR on meat quality, particularly in reducing taint-related KBCFA. Such outcomes imply that rumen microbial communities likely act as a crucial mediator in controlling meat flavor. Full article

The BRICS economies, facing the threat of climate change, face a policy challenge in transitioning from fossil-fuel-based energy systems and improving environmental quality. This necessitates urgent policy changes in the outdated energy infrastructure of BRICS countries. However, there still remains a policy gap regarding how countries in the BRICS, a group of rapidly developing economies, can grow their economies in line with the Sustainable Development Goals. The aim of our study is to investigate the impact of green energy, green technology, and forest cover on environmental quality in BRICS countries. The BRICS group of countries offers an ideal field of study for both examining the impacts of green energy, green technology, and forest areas on environmental quality in developing economies, as well as for evaluating national and global energy policies. Although numerous studies have empirically examined the relationship between environmental variables and green initiatives, the impact of green initiatives on the load capacity factor has been overlooked. These studies have generally used various econometric methods and have not included machine learning in the process. This study addresses this research gap by focusing on green energy and green technology, which are preferred for their various advantages and make significant contributions to the load capacity factor. To analyze this relationship in BRICS economies between 2000 and 2022, the Augmented Mean Group (AMG) estimator and Machine Learning algorithms were used. According to the results, strong evidence emerges of a positive relationship between green energy, the digital economy, forested area, and the load capacity factor, while a negative relationship exists between green technology, growth, and the load capacity factor. Based on robust empirical findings, renewable energy sources are a key driver of clean energy adoption and can ultimately increase the load capacity factor in BRICS economies. The results also imply that, since developments in green technological innovation in BRICS countries are still in their infancy, investments in green technologies for a sustainable environment need to be qualitatively increased. Full article