Search Results (3,201)

Under the pressure of global low-carbon transformation, the sustainable development initiative of the United Nations has gradually become an essential orientation of corporate Environmental, Social, and Governance (ESG) performance. Based on the integrated theoretical framework of sustainable development finance, this work explores the relationships among corporate ESG performance, its financing constraints in China, and its influencing mechanism, as well as the role played by green innovation in this relationship. Using a comprehensive panel dataset of 1038 A-share listed companies from 2013 to 2023, totaling 11,418 observations, we find that corporate ESG performance and financing constraints exhibit a significant negative relationship, indicating that strong corporate ESG performance can effectively alleviate corporate financing constraints. To address endogeneity concerns, we employ a systematic generalized method of moments (GMM) and a two-stage least squares regression using lagged instrumental variables. The results of the mechanism test show that ESG performance mitigates financing constraints by reducing perceived financial risks, improving information transparency, and increasing access to government green subsidies. Furthermore, moderating effect analysis reveals that green innovation strengthens the mitigating effect of corporate ESG performance on financing constraints in this process, based on SDG 9. Heterogeneity analysis reveals that this mitigating effect of corporate ESG performance on financing constraints is more pronounced for firms in China’s economically advanced eastern region, for companies facing harder budget constraints, and in the period following the implementation of the stringent new Environmental Protection Law. Distinguishing between genuine and symbolic corporate actions, we provide evidence that only substantive ESG improvements, as opposed to “greenwashing,” are rewarded by capital providers. The findings provide insights for the formulation of government policies and corporate sustainability strategies in emerging markets. Full article

This study examines the impacts of Enterprise Resource Planning (ERP) systems on financing costs from the dual perspectives of risk management and relative value creation based on corporate value maximization objectives. Data were manually collected from the listed companies in China. It is found that the equity financing cost and debt financing cost of enterprises implementing ERP systems are both significantly higher than those without, and the impact of the ERP systems on equity financing cost is more significant than on debt financing cost. The endogeneity problems are addressed using the fixed effect, the instrumental variables in the two-stage least squares (2SLS) regression test, and the Heckman two-stage regression test. Further exploration into the underlying reasons for these results through mechanism analysis reveals that ERP systems can systematically and effectively enhance risk management levels and corporate value returns, bringing higher returns for investors and achieving a win-win situation. These research findings fundamentally help alleviate the agency problems between companies and investors, and also explain the advantages of an investment-oriented capital market in resolving conflicts among its various participants. Additionally, heterogeneity analysis further shows that the ownership structure and age structure of enterprises have a significantly negative moderating effect on the above results, and the moderating effect on equity financing cost is stronger than on debt financing cost. Full article

Gait recovery after stroke is a primary goal of rehabilitation, therefore it is imperative to develop technologies that accurately identify gait impairments after stroke. Markerless motion capture (MMC) is an emerging technology that has been validated in healthy individuals. Our study aims to evaluate the validity of MMC against an instrumented walkway system (IWS) commonly used to evaluate gait in stroke survivors. Nineteen participants performed three comfortable speed (CS) and three fastest speed (FS) walking trials simultaneously recorded with IWS and MMC system, KinaTrax (HumanVersion 8.2, KinaTrax Inc., Boca Raton, FL, USA). Pearson’s correlation coefficient and intraclass correlation coefficient (ICC (3,1), 95%CI) were used to evaluate the agreement and consistency between systems. Furthermore, Bland–Altman plots were used to estimate bias and Limits of Agreement (LoA). For both CS and FS, agreements between MMC and IWS were good to excellent in all parameters except for non-paretic single-limb support time (SLS), which revealed moderate agreement during CS. Additionally, stride width and paretic SLS showed poor agreement in both conditions. Biases eliminated systematic errors, with variable LoAs in all parameters during both conditions. Findings indicated high validity of MMC in measuring spatiotemporal gait parameters in stroke survivors. Further validity work is warranted. Full article

This study aimed to characterize students from the Instituto Tecnológico del Valle de Etla (ITVE), located in Oaxaca, Mexico, within the virtual learning environment (VLE) and to identify the main technological challenges affecting their learning experience. The research adopted a descriptive quantitative approach, using a self-administered questionnaire applied to a sample of 71 students enrolled in distance education programs. The instrument made it possible to analyze variables such as online instructional design, teaching experience, and information technologies. The results evidenced four distinct student profiles identified as follows: demanding, digitally competent, dependent on didactic material, and with technological barriers. These profiles reflect disparities in connectivity conditions, digital competencies, and expectations toward instructional design. The evidence generated by this research contributes to the formulation of more inclusive and resilient educational policies, in line with Sustainable Development Goal 4 (SDG 4), which promotes inclusive, equitable, and quality education for all. Full article

Background: Lifestyle behaviours, such as dietary patterns, sleep quality, perceived stress, and physical activity, are closely interconnected and play a critical role in maintaining health and well-being. Among school teachers, a profession marked by high psychosocial demands, the interplay between these factors warrants further exploration. Objective: This pilot study aimed to explore the associations between adherence to the Mediterranean Diet (MD), sleep quality, perceived stress, and physical activity levels among Portuguese primary and secondary school teachers. Methods: A cross-sectional study was conducted between April and December 2023. Participants completed validated self-reported instruments, including the MD Adherence Screener (MEDAS), the Pittsburgh Sleep Quality Index (PSQI), the Perceived Stress Scale (PSS-10), and the short form of the International Physical Activity Questionnaire (IPAQ-SF). Correlational analyses and multivariable linear regression models were applied to explore the relationships among the variables. Results: Among the 50 teachers, 32% demonstrated high adherence to the MD, 60% reported good sleep quality, 62% experienced moderate stress, and 44% engaged in high physical activity. Women were more likely to adhere strongly to the MD (p = 0.012). Higher MD adherence was positively associated with physical activity (ρ = 0.343; p = 0.015). A positive correlation was observed between perceived stress and poorer sleep quality (ρ = 0.346, p = 0.014), and a negative correlation between perceived stress and physical activity levels (ρ = −0.297, p = 0.036). Despite reporting good sleep quality, these participants had higher perceived stress scores (p = 0.015). In adjusted models, sleep quality was the only significant predictor of perceived stress (B = 0.708; p = 0.003), and vice versa (B = 0.267; p = 0.003), suggesting a bidirectional relationship. Conclusions: The findings highlight the interrelation between dietary pattern, sleep stress, and physical activity in a professional group vulnerable to lifestyle-related health challenges. Although the sample size limits generalisability, this study provides preliminary evidence supporting the need for integrated health promotion strategies targeting stress reduction and lifestyle optimisation among educators. Full article

Background/Objectives: We identified the factors related to post-intensive care syndrome in a sample of patients from northern Colombia. Methods: This study employed a quantitative, observational, descriptive, and correlational approach. A sample of 277 adults was obtained through non-probabilistic convenience sampling, and a characterization form comprising sociodemographic and clinical variables was applied. The Healthy Aging Brain Care Monitor (HABC-M) instrument was also used, which is a clinical tool with a high capacity to detect post-intensive care syndrome (PICS) in surviving intensive care unit (ICU) patients. Results: The final sample consisted of 277 adults, 67.5% male, with university degrees, cohabiting in a marital union, working, from urban areas, and of the Catholic religion. Seventy percent of the sample presented both cardiovascular and neurological alterations and was admitted to the ICU, and 66% had a personal history of arterial hypertension (AHT) and type 2 diabetes mellitus (DM2). Patients had a mean ICU stay of 10.7 days, with a standard deviation of 4 days, and displayed a moderate risk of morbidity and mortality according to Acute Physiology and Chronic Health Evaluation II (APACHE II). A total of 38.6% of the sample received mechanical ventilation, with a mean duration of 8.3 days, and 7.5% underwent tracheostomy. As for sedation, 38.6% were administered fentanyl. In total, 83.4% of the sample presented the syndromes under study, with a predominance of the severe category. The global score of the scale was taken as the dependent variable, and statistical significance (p < 0.05) was found with sociodemographic variables, including origin and religion, and with clinical variables such as receiving pharmacological treatment. Conclusions: The sample presented PICS globally and showed how it affects the different dimensions, showing associations with the sociodemographic and clinical variables of interest. Full article

Industrial environments frequently rely on analog control instruments due to their reliability and robustness; however, automating the interpretation of these controls remains challenging due to variability in design, lighting conditions, and scale precision requirements. This research investigates the effectiveness of Vision–Language Models (VLMs) for automated interpretation of industrial controls through analysis of three distinct approaches: general-purpose VLMs, fine-tuned specialized models, and lightweight models optimized for edge computing. Each approach was evaluated using two prompting strategies, Holistic-Thought Protocol (HTP) and sequential Chain-of-Thought (CoT), across a representative dataset of continuous and discrete industrial controls. The results demonstrate that the fine-tuned Generative Pre-trained Transformer 4 omni (GPT-4o) significantly outperformed other approaches, achieving low Mean Absolute Error (MAE) for continuous controls and the highest accuracy and Matthews Correlation Coefficient (MCC) for discrete controls. Fine-tuned models demonstrated less sensitivity to prompt variations, enhancing their reliability. In contrast, although general-purpose VLMs showed acceptable zero-shot performance, edge-optimized models exhibited severe limitations. This work highlights the capability of fine-tuned VLMs for practical deployment in industrial scenarios, balancing precision, computational efficiency, and data annotation requirements. Full article

Energy security has emerged as a critical concern amid intensifying climate risks and surging energy demand driven by economic growth. This study examines the impact of climate risk on energy security by constructing a panel dataset covering 30 Chinese provinces from 2006 to 2022. Using the instrumental variable generalized method of moments (IV-GMM) model, we estimate the marginal impact of climate risk on energy security and further investigate its asymmetric, direct, and indirect relationships via panel quantile regression and mediation analysis. Our key findings are as follows: (1) Climate risk exerts a significant negative impact on energy security, indicating an inverse relationship. (2) The effect of climate risk is asymmetric, with a stronger adverse impact in regions with lower levels of energy security. (3) Climate risk undermines energy security by reducing energy accessibility, affordability, sustainability, and technological efficiency. (4) Energy transition and energy efficiency serve as critical mediators in the relationship between climate risk and energy security, offering insights into potential mitigation pathways. Unlike previous studies that primarily examine energy security in isolation or focus on single dimensions, this research integrates a multidimensional indicator system and advanced econometric techniques to uncover both direct and mediated pathways, thereby filling a key gap in understanding the climate–energy nexus at the provincial level in China. Based on these findings, we propose targeted policy recommendations to enhance energy security by improving climate resilience, accelerating the deployment of renewable energy, and optimizing energy infrastructure investments. Full article

Advances in cell culture technology have led to fish cell lines being used as cost-effective, reproducible, and ethically favourable instruments in ecotoxicology. The development of new lines contributes to reducing animal experiments and improves model diversity. The brown trout (Salmo trutta), an important bioindicator due to its sensitivity to pollutants, is still underrepresented in cell culture systems. In this study, two novel larvae-derived cell lines, STRlar1 and STRlar2, were established and maintained for over 40 passages. Although derived from sibling larvae of the same parental strain, the two lines showed marked differences in growth dynamics and toxicological responses to ethanol, dimethyl sulfoxide, isopropanol, and acetone. STRlar2 showed greater sensitivity to all chemicals tested, while STRlar1 exhibited longer proliferation and higher impedance, suggesting stronger substrate adhesion. These differences emphasise the importance of cellular heterogeneity, even in closely related lines. Our results underline the need to carefully validate new in vitro models and caution against relying on single cell lines. To improve the robustness and reliability of ecotoxicological assessments, we recommend the use of multiple independently derived lines that better reflect biological variability and reflect in vivo complexity. Full article

This study examines the factors that motivate viewers to financially support streamers on the Twitch digital platform. It proposes a conceptual framework that combines the uses and gratifications theory (UGT) with Michel Foucault’s concept of the practice of freedom (PF). Using a cross-sectional quantitative survey of 560 Portuguese Twitch users, the model investigates how three core constructs from UGT—entertainment, socialization, and informativeness—affect the intention to donate, with PF acting as a mediating variable. Structural equation modeling confirms that all three UGT-based motivations significantly influence donation intentions, with socialization exhibiting the strongest mediated effect through PF. The findings reveal that Twitch donations go beyond mere instrumental or playful actions; they serve as performative expressions of identity, autonomy, and ethical subjectivity. By framing PF as a link between interpersonal engagement and financial support, this study provides a contribution to media motivation research. The theoretical integration enhances our understanding of pro-social behavior in live streaming environments, challenging simplistic, transactional interpretations of viewer contributions vis-à-vis more political ones and the desire to freely dispose of what is ours to give. Additionally, this study may lay the groundwork for future inquiries into how ethical self-formation is intertwined with monetized online participation, offering useful insights for academics, platform designers, and content creators seeking to promote meaningful digital interactions. Full article

Against the backdrop of accelerated global integration and China’s pursuit of new type urbanization pathways, the role of trade openness—moderated by industrial upgrading—represents a critical yet underexplored nexus for emerging economies. Using provincial panel data from 31 Chinese provinces spanning from 2008 to 2022, this study empirically examines the impact of trade openness on urbanization. It further examines the moderating role of industrial structure upgrading in this relationship. To address endogeneity and distributional heterogeneity, we employ economic distance as an instrumental variable and apply quantile regression methods, thereby providing a robust quantification of the dynamic effects of trade openness on urbanization. The study demonstrates that trade openness contributes to the advancement of China’s new type urbanization and that the upgrading of industrial structures positively reinforces this effect through trade openness. Further heterogeneity analysis reveals that the eastern region, which is more economically developed and more globally integrated, exhibits a stronger awareness of and responsiveness to the impact of trade openness on urbanization. This article provides a theoretical framework for the sustainable development of China’s new type urbanization, encouraging stakeholders to actively engage in the urbanization process and to promote balanced economic, social, and environmental development. This study offers actionable insights for policymakers to align trade openness with new type urbanization pathways. Full article

The primary objective of the present study is to evaluate the effect of conglomerate microorganisms on nitrification in activated sludge. The present study compares this process with activated-sludge technology to explore the variables that influence the complex biochemical processes taking place in bioreactors. The research under consideration involves monitoring the effectiveness of optimizing the wastewater treatment process using kinetic modeling for the nitrification and denitrification processes. The system is designed to simulate various operating scenarios and adjust process parameters in real time. The nitrification rate demonstrates a 99.03% performance, while the denitrification rate ranges from 19.08% to 91.01%. A substantial correlation has been demonstrated between this variable and the temperature of the treated wastewater. This provides the possibility of accurately assessing the ammonium oxidation potential. Furthermore, kinetic equations facilitate the estimation of parameters that are not typically measured, yet are essential for optimizing operational parameters (e.g., dissolved oxygen levels in the aeration tank, sludge dosage, and influent flow rate). This estimation is crucial for enhancing the effectiveness of the process and attaining the desired or anticipated outcomes. This validation underscores the efficacy of the technology, thereby establishing a foundational framework for subsequent research endeavors. These research efforts are directed towards providing decision-makers and stakeholders with actionable insights. The validation underscores the significance of optimized practices in the context of water resource protection. Moreover, it signifies a substantial advancement in the instrumentation of wastewater treatment plants. Full article

Nitrogen dioxide (NO₂) plays a crucial role in environmental processes and public health. In recent years, NO₂ pollution has been monitored using a combination of in situ measurements and satellite remote sensing, supported by the development of advanced retrieval algorithms. With advancements in satellite technology, large-scale NO₂ monitoring is now feasible through instruments such as GOME-2C and TROPOMI. However, the fixed local overpass times of polar-orbiting satellites limit their ability to capture the complete diurnal cycle of NO₂, introducing uncertainties in emission estimation and pollution trend analysis. In this study, we evaluated differences in NO₂ observations between GOME-2C (morning overpass at ~09:30 LT) and TROPOMI (afternoon overpass at ~13:30 LT) across three representative regions—East Asia, Central Africa, and Europe—that exhibit distinct emission sources and atmospheric conditions. By comparing satellite-derived tropospheric NO₂ column densities with ground-based measurements from the Pandora network, we analyzed spatial distribution patterns and seasonal variability in NO₂ concentrations. Our results show that East Asia experiences the highest NO₂ concentrations in densely populated urban and industrial areas. During winter, lower boundary layer heights and weakened photolysis processes lead to stronger accumulation of NO₂ in the morning. In Central Africa, where biomass burning is the dominant emission source, afternoon fire activity is significantly higher, resulting in a substantial difference (1.01 × 10¹⁶ molecules/cm²) between GOME-2C and TROPOMI observations. Over Europe, NO₂ pollution is primarily concentrated in Western Europe and along the Mediterranean coast, with seasonal peaks in winter. In high-latitude regions, weaker solar radiation limits the photochemical removal of NO₂, causing concentrations to continue rising into the afternoon. These findings demonstrate that differences in polar-orbiting satellite overpass times can significantly affect the interpretation of daily NO₂ variability, especially in regions with strong diurnal emissions or meteorological patterns. This study highlights the observational limitations of fixed-time satellites and offers an important reference for the future development of geostationary satellite missions, contributing to improved strategies for NO₂ pollution monitoring and control. Full article

The development of new techniques to improve crop management, especially through precision agriculture methods and innovations, is crucial for increasing crop yield and ensuring high-quality production. The horticultural sector is particularly vulnerable to inefficiencies in crop management due to the complex and costly processes required for producing marketable products. Optimal nutritional inputs and effective disease management are crucial for maintaining commercial standards. This two-year study investigated the physiological differences between organic and conventional crop management of the Sardinian `Spinoso sardo’ artichoke ecotype (Cynara cardunculus var. scolymus L.) by integrating a multiplex force-A (MFA) fluorometer and unmanned aerial systems (UASs) equipped with a multispectral camera capable of analysing the NDVI vegetation index. Using both proximal and remote sensing instruments, physiological and nutritional variations in the growth cycle of artichokes were identified, distinguishing between traditional and two organic management practices. The two-year MFA experiment revealed physiological variability and different trends among the three management practices, indicating that MFA proximal sensing is a valuable tool for detecting physiological differences, particularly in chlorophyll activity and nitrogen content. In contrast, the UAS survey was less effective at distinguishing between management types, likely due to its limited use during the second year and the constrained timeframe of the multitemporal analysis. The analysis of the MFA fluorimetric indices suggested significant differences among the plots monitored due to the ANOVA statistical analysis and Tukey test, showing greater adaptability of the conventional system in managing production inputs, unlike the organic systems, which showed higher variability within the plots and across the survey years, indicating aleatory trends due to differences in crop management. Full article

This paper investigates whether and how managerial overconfidence affects firms’ environmental information disclosure. Using 32,191 firm-year observations from Chinese companies between 2008 and 2022, the study finds that managerial overconfidence negatively impacts environmental information disclosure. These results remain robust across various tests, including alternative overconfidence measures, instrumental variable regressions, and propensity score matching. Mechanism analysis reveals that overconfidence reduces disclosure through overestimation of risk control ability and underestimation of stakeholder importance. Further analysis shows that external governance pressures from government regulation, media scrutiny, and institutional investor monitoring effectively mitigate this negative impact, while also confirming the value relevance of environmental information disclosure and the moderating role of managerial overconfidence. This study clarifies the influence and mechanisms of managerial overconfidence on environmental disclosure in developing countries, highlighting the role of external oversight. Full article