Search Results (2,295)

Medical workers are frequently exposed to high-stress environments, highlighting the need for non-invasive stress monitoring strategies based on autonomic nervous system activity. Ammonia emitted from the human skin surface has been reported to increase under physical and psychological stress; however, its relationship with autonomic nervous system (ANS) dynamics remains unclear. In this study, we performed simultaneous, time-resolved measurements of dermal ammonia emission and heart rate variability (HRV) in 11 medical workers during 3 h of routine work. Dermal ammonia emission flux was continuously monitored using a passive flux sampler (PFS) coupled with ion chromatography, while autonomic nervous system activity was assessed by Holter electrocardiography. The temporal profiles of ammonia emission were analyzed in relation to HRV indices, including high frequency (HF) and the low-frequency-to-high-frequency ratio (LF/HF). Dermal ammonia emission increased under conditions characterized by lower HF and/or higher LF/HF, whereas elevated HF was associated with reduced ammonia emission (r = −0.47, p < 0.001). Furthermore, temporal fluctuations in ammonia emission were associated with sympathetic–parasympathetic switching. These findings suggest that dermal ammonia emission may be associated with HRV-related physiological responses under real-world working conditions and may have potential as a non-invasive indicator for stress-related physiological monitoring. Full article

The transition from Industry 4.0 to Industry 5.0 represents a shift toward human-centric work systems that prioritize employee well-being and meaningful human–technology collaboration. Research examining employee well-being, job satisfaction, and organizational performance in Industry 5.0 contexts remains conceptually fragmented and methodologically heterogeneous, limiting cumulative theoretical development. This study addresses how fragmented insights on employee well-being, job satisfaction, and organizational performance can be conceptually integrated through a human-centric operational excellence perspective. Accordingly, an integrative review was conducted using PRISMA 2020-guided screening and reporting procedures, resulting in a final sample of 84 peer-reviewed studies published between 2015 and 2025. The literature was analyzed through inductive thematic synthesis to identify recurring patterns, tensions, and conceptual configurations within digitally mediated work environments. The findings indicate that employee well-being and job satisfaction Industry 5.0 contexts are multidimensional, dynamic, and frequently paradoxical: digital technologies simultaneously function as enablers of autonomy, meaningful work, and cognitive support while also generating technostress, algorithmic control, and cognitive overload. Relationships between well-being, satisfaction, and performance appear non-linear and context-dependent, with high performance sometimes coexisting with employee strain. In this sense, this study contributes to the Industry 5.0 literature by advancing human-centric operational excellence (HCOE) as an interpretive lens for reconciling human–technology tensions without presuming linear causal relationships. Full article

Existing thermal sensation prediction models typically examine the relationship between skin temperature and thermal sensation during cooling or heating seasons. However, due to significant fluctuations in indoor thermal environments during shoulder seasons and considerable individual variation in clothing preferences, traditional thermal sensation prediction models demonstrate poor predictive performance during shoulder seasons. This study aims to investigate the relationship between facial skin temperature and clothing insulation versus thermal sensation under shoulder seasonal conditions and to establish a predictive model for human thermal sensation influenced by clothing insulation. First, facial temperature data under different clothing conditions are collected online using infrared thermal imaging equipment. Subjective thermal sensations are obtained through questionnaires, enabling analysis of the influence of relationships among clothing insulation, facial temperature, and thermal sensation. Subsequently, correlation analysis is used to identify the facial temperature zones closely related to human thermal sensation. Finally, a random forest algorithm is employed to establish a thermal sensation prediction model. Research findings indicate that during shoulder seasons, the left and right cheeks and lips exhibit a higher correlation with thermal sensation. Due to variations in clothing insulation, thermal sensation models based solely on facial temperature characteristics demonstrate lower predictive accuracy and struggle to overcome interference caused by individual clothing differences. After incorporating clothing insulation as a key input feature parameter, the model’s Root Mean Square Error decreased from 0.869 to 0.533, representing a 38.7% improvement in prediction accuracy. This demonstrates that the clothing insulation parameter plays a crucial role in enhancing the precision of human thermal sensation prediction models during shoulder seasons. Full article

Cyanobacterial toxins (cyanotoxins) threaten aquatic ecosystems and human health, yet the factors influencing their production and distribution in freshwater remain unclear. In north-central Tennessee, nutrient-rich runoff from agricultural and urban areas, combined with a karst landscape that supports drinking and recreational water use, heightens the need to understand cyanotoxin behavior. To examine cyanotoxin patterns, the U.S. Geological Survey and the Tennessee Department of Environment and Conservation monitored 18 sites, including two wells under the influence of surface water, every two weeks from September 2022 to November 2024. At least one cyanotoxin was detected at all sites, with the highest concentrations in deep reservoirs and lower levels in shallow systems. Most detections occurred during summer and fall, aligning with high temperatures and rapid-onset drought. Statistical analysis indicated that increased specific conductivity and pH raised the likelihood of detecting total microcystin, likely resulting from drought conditions and nutrient-laden runoff. Additionally, dissolved microcystin showed an inverse relationship with Cumberland River water levels, and principal component analysis showed that Secchi depth, chlorophyll a, pH, temperature, and conductivity explained most water quality variability. These results help increase understanding of cyanotoxin distribution and associated water quality conditions during detections to guide future freshwater cyanotoxin monitoring studies. Full article

This study examines the persistence, change, and discontinuity of human settlements in the northern Stig Plain along the Danube in Serbia. It examines how natural conditions, together with historical events and the strategic imperatives of specific periods, have shaped the establishment, development, decline, and abandonment of settlements in this landscape, as well as their change and transformation. Particular attention is given to the Roman city of Viminacium, now largely buried beneath fertile farmland and affected by mining activity. The research integrates theoretical perspectives on landscape, human–environment relations, and processes of discontinuity and change with insights into Roman urban planning and overall settlement dynamics, contextualised through the environmental and historical development of the landscape. It considers why Viminacium remained the only major urban centre in the plain and why no later settlement developed directly above it, reexamining whether this absence can be understood as a form of landscape discontinuity. The findings emphasise the strong influence of natural factors, while suggesting that the urban potential of the fertile Stig Plain could only be fully realised in the Roman period, through the establishment of a legionary fortress supported by advanced technology and organised labour, and guided by strategic objectives. From a heritage perspective, the study also examines the definition of landscape boundaries, highlighting Viminacium’s legacy as an integrative element that brings together remains from multiple periods into a unique and evolving cultural landscape worthy of preservation, though one that faces ongoing challenges in sustainable management. Full article

This study examines how artificial intelligence (AI) leadership reconfigures the relationship between technological systems, human capabilities, and innovation activity, focusing on the emergence of innovation processes that operate independently of human agency. Moving beyond dominant efficiency-oriented perspectives, it demonstrates that AI-driven leadership enables the decoupling of innovation from human capabilities, thereby generating governance risks in agentic AI environments. Drawing on a survey of 3079 respondents across industries and regions, the study employs exploratory and confirmatory factor analysis and structural equation modeling. The results show that AI leadership is associated with increased innovation activity while exerting a significant negative effect on human capabilities, with no significant relationship between human capabilities and innovation outcomes. The absence of mediation suggests that innovation outputs emerge independently of human input, reflecting structural misalignment rather than system-level efficiency gains. These findings indicate structural decoupling between human agency and innovation outcomes, with AI-enabled systems increasingly substituting for human capabilities, while human capabilities are progressively marginalized. The study reframes AI-driven innovation as a governance problem and introduces the AI–Human Alignment Diagnostic Scale (AI-HADS) as a structured approach to assessing misalignment. Full article

The pantograph–catenary system is a crucial component of rail transit vehicles, performing the vital function of electric energy transmission. During train operation, the current-carrying components continuously emit particulate matter into the surrounding environment due to friction, and these particulate emissions have a significant impact on human health. However, research on the correlation between the current-carrying friction of carbon contact strips and particulate matter emission characteristics is rarely reported. Based on a semi-enclosed pin-on-disc current-carrying friction and wear test rig, this paper investigates the effects of varying current intensity under different contact load conditions on the friction and wear performance of carbon/copper pairs, as well as the associated particulate matter emission behavior. It reveals the damage characteristics of carbon contact strips, the particulate matter emission characteristics, and the relationship between them under different service conditions. The results indicate that the wear mechanism and particulate matter emission behavior of carbon contact strips are jointly influenced by current magnitude and contact load. In the absence of current, increasing the load exacerbates the mechanical wear on the carbon friction pair surface, while elevating the emission concentration of particles of various sizes and stabilizing the particle size distribution. Under current-carrying conditions, a higher contact load effectively reduces the frequency of arc discharges between the friction pair. Meanwhile, the degree of arc erosion on the contact surface worsens with increasing current intensity. Arc discharges instantaneously lead to a sharp increase in particulate emissions, and the higher the discharge intensity or the greater the number of discharges, the higher the particulate concentration around the contact pair. Full article

Industry 4.0 (I4.0) is transforming industrial systems through interconnected, data-driven technologies, raising questions about how these developments affect Occupational Health and Safety (OHS). This study investigates research trends, thematic structures, and knowledge gaps at the intersection of I4.0 and OHS using a multilevel bibliometric framework applied to Scopus records published from 2011 to 2025. The analysis moves from a broad overview of the I4.0 landscape to more focused examinations of specific I4.0–OHS publications, prevention-oriented studies, and emerging-risk research. The results show that OHS has limited visibility in the general I4.0 literature and is more prominent mainly in targeted subsets, where digital sensing, artificial intelligence, machine learning, and immersive technologies drive prevention-focused research. Conversely, emerging risks such as cognitive load, psychosocial stressors, and human–autonomy interaction appear in smaller, more dispersed clusters. Overall, the findings suggest that the relationship between I4.0 and OHS is unevenly developed, with established prevention mechanisms and early-stage conceptualization of new risks. Strengthening this field will require integrating human factors with digital indicators, better characterizing emerging risks, and ensuring that digital transformation supports SDG 8 by fostering safe and healthy working environments. Full article

Depression represents one of the most prevalent mental health challenges globally, affecting individuals across diverse populations and settings. Based on the neurogenesis-informed hypothesis that stair use may likely elevate brain-derived neurotrophic factor (BDNF) in humans that in turn may have an antidepressant effect, this study takes residential buildings as a controlled environment to test whether there is a difference in depression symptoms based on single- or multi-storey housing. This study examined associations between staying at home and depression symptoms using the Public Health Questionnaire-8 (PHQ-8) data from 128 adults in England who spend most of their time at home. Residents in single-storey flats in apartment buildings had significantly higher overall depression scores than multi-storey house residents. Among the PHQ-8 items, only Item 8, psychomotor agitation/retardation (moving or speaking too slowly, or restlessly moving around more than usual), approached but did not reach statistical significance after Bonferroni correction (p = 0.056). After adjusting for gender, age, number of residents, activity level, and income, apartment living (vs. multi-storey houses) (β = −0.362, p < 0.001) and loneliness (β = 0.221, p = 0.016) were significant independent predictors of psychomotor agitation/retardation. Future research is needed to explore this relationship using a larger sample size and to explore whether the use of stairs explains this potential relationship through a change in BDNF. Full article

The built environment is the core material carrier shaping urban vitality, and its impact on urban vitality constitutes a key research hotspot in urban geography and urban–rural planning. Most existing studies focus on single cities and single scales. They pay insufficient attention to the heterogeneity of their relationship across different city types and spatial scales. They also lack a systematic framework for multi-dimensional comparative analysis. This study takes Chengdu and Chongqing as cases. They are the core cities of the Chengdu–Chongqing Twin-City Economic Circle. Three grid scales are applied. Using the XGBoost–SHAP-integrated model, this paper explores the differences in indicator importance, nonlinear impacts, and threshold effects of built environment on urban vitality. The objectives of this study are as follows: (1) This study will reveal the spatiotemporal differentiation characteristics and patterns of urban vitality across multiple cities, multiple grid scales, and multiple time periods. (2) This study will identify the relative importance of built environment indicators and their heterogeneous patterns across different cities and grid scales. (3) This study will clarify the nonlinear relationship between the built environment and urban vitality, as well as grid-scale differences and city differences. The results show the following: (1) Urban vitality exhibits significant distribution differences across cities, grid scales, and times. (2) In terms of relative importance, mean building height and building density are both important influencing indicators of urban vitality at multiple grid-scales in different cities. The effects of certain built environment indicators on urban vitality vary across cities and grid scales. Road intersection density plays a prominent role in Chengdu, while commercial accessibility has a significant influence in Chongqing. As the scale changes, indicators including road density, road intersection density, and commercial accessibility demonstrate distinct variation patterns. (3) The nonlinear effects of the built environment on urban vitality are significant and differ across cities and grid scales. The nonlinear effects of certain built environment indicators in Chongqing are more complex than those in Chengdu. As the scale changes, the nonlinear effect trends and thresholds of certain built environment indicators also show significant variations. Based on multi-city and multi-scale spatial analysis, this study deepens our systematic understanding of the relationship between the built environment and urban vitality. It provides a quantitative basis for understanding the interaction between human activities and physical spaces in different types of cities and at different grid scales. It also provides a referable paradigm for multi-dimensional analysis in similar studies. Full article

Background: Sustainability in education requires creating a supportive working environment that promotes the well-being, motivation, and professional development of employees in the education and science sector. From the perspective of sustainable human resource development in the education and science sector, it is essential to identify job resources that are positively associated with work engagement, as emphasized in the Job Demands-Resources (JD-R) model. The aim of this paper is to examine whether three key work organization and job content resources (influence at work, possibilities for development, and meaning of work) predict work engagement among employees in the Lithuanian education and science sector from a sustainability perspective. Methods: Based on the JD-R model, this study applied a quantitative research design. Data were collected through a structured written questionnaire completed by 446 employees in the Lithuanian education and science sector. The relationships between key work organization and job content resources and work engagement were examined using hierarchical multiple regression analysis, with gender, age, and position included as control variables. Results: The hierarchical regression analysis showed that meaning of work and influence at work remained statistically significant positive predictors of work engagement after controlling for gender, age, and position, whereas possibilities for development showed a positive but non-significant tendency in the controlled model. These findings are consistent with the Job Demands-Resources theory and can be interpreted from the perspective of the UNESCO Education for Sustainable Development framework, which emphasizes the importance of empowering teachers, scientists and other employees in the education and science sector, fostering continuous improvement, and connecting their work to a broader educational and societal purpose. Conclusions: The hierarchical regression analysis indicates that meaning of work and influence at work are the most stable predictors of work engagement in the education and science sector from a sustainability perspective. This study contributes to the literature by applying the JD-R model through a sustainability lens in the education and science sector. The results provide new insights into how influence at work, possibilities for development, and meaning of work can be interpreted as sustainability-oriented job resources associated with work engagement in the education and science sector. Full article

This study systematically reviewed how person–environment fit (PEF) research in the hospitality industry has developed across major themes, sub-dimensions, and methodological characteristics. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic literature review was conducted on 62 PEF-related studies published in leading hospitality journals between 2010 and 2025. First, the review shows that research on PEF in the hospitality industry has increased since 2017, with more than half of the studies published between 2021 and 2025. Second, person–organization fit and person–job fit were the most frequently examined sub-dimensions and occupied central positions in the keyword co-occurrence network, whereas extended sub-dimensions such as person–brand fit (PBranF) and person–supervisor fit remained relatively peripheral. Third, most studies conceptualized PEF as a mediating mechanism linking antecedents to organizational outcomes critical to sustaining employee attitudes, retention, and long-term organizational effectiveness. More recently, PEF has increasingly been examined as a moderating variable that shapes the strength of relationships among key variables. This study thereby presents the conceptual and methodological structure of hospitality PEF research and provides a foundation for future theoretical extensions, research designs, and sustainable human resource and organizational management strategies. Full article

Existing research on iron smelting sites from the Han to Song Dynasties in southeastern Guangxi has focused on metallurgical technology analysis, but geographic information system-based analysis remains limited. To address this gap, this study examines spatial distribution, clustering patterns, and natural controls of iron smelting sites and clarifies the coupling relationship between spatial patterns and the evolution of bloomery iron smelting and cast iron smelting technology. This study examines 38 iron smelting sites using a geographic database that integrates kernel density estimation, Thiessen polygons, and geographic detectors to reveal spatial patterns and driving factors. Results show that: (1) two smelting technologies existed in the region (bloomery iron and cast iron); (2) sites exhibit a three-centre cluster, with the highest density in Pingnan County; (3) lithology was the primary controlling factor, followed by contour density, relief, elevation, and soil properties; (4) shaft furnaces existed in favourable geotechnical conditions and transport access; small-scale furnaces are controlled by ore availability, with additional cultural and safety influences. This study reveals the spatial heterogeneity and key factors of iron smelting sites in southeastern Guangxi, providing quantitative support for Lingnan metallurgical archaeology, human–environment relations, and dissemination of Maritime Silk Road technology. Full article

The relationship between microorganisms and human health is inseparable. In today’s increasingly urbanized world, the relationship between indoor microbial communities and human health is particularly close. Studies have shown that the composition of indoor microbial communities is influenced by various factors, including temperature, humidity, and nutrient conditions. However, research on how to alter indoor microbial community structures by adjusting nutrient components to improve human health is still limited. In this work, we constructed artificial microbial communities composed of common indoor microorganisms, and analyzed the species composition, metabolic capabilities, antibiotic resistance, and virulence of the microbial communities before and after cultivation using metagenomic sequencing technologies and metatranscriptomic sequencing technologies. We then assessed their community characteristics and evolutionary direction under different nutrient conditions. Overall, when the nutrient conditions were altered and reduced, the evolutionary direction of indoor microbial communities changed significantly. Specifically, this evolutionary direction was manifested in a taxonomic succession of community composition, with marked shifts in the relative abundances of constituent species, as well as in a significant alteration of the community-level metabolic functions. In-depth research in this field can help improve the composition of indoor microbial communities, thereby benefiting human health and public health construction in urbanized environments. Full article

Against the background of ecological civilization construction and the transformation of state-owned forest regions after the logging ban, balancing economic development with ecological protection has become an important issue in China’s forest areas. The development of the non-timber forest-based economy plays a critical role in advancing high-quality, green economic growth in China and contributes significantly to sustainable resource utilization. This study examines data from key state-owned forests and the natural environment in the Changbai Mountain region of Jilin Province from 2013 to 2023. A comprehensive evaluation model and a coupling coordination model, based on the human–land relationship framework, are employed to assess temporal changes in economic growth quality, ecological environment carrying capacity, and their coupling coordination. The quality of non-timber forest-based economic growth exhibited an overall upward trend. Fusong County, Wangqing County, and Dunhua City consistently maintained high levels, while Helong City experienced the largest decline. The spatial distribution followed a “high center, low periphery” pattern, with the 2015 logging ban serving as a key turning point in promoting ecological transformation. The per capita ecological environment carrying capacity improved across the region, with significant increases in Dunhua, Helong, and Antu Counties. A radial decline from the central to peripheral areas was observed, with the highest values in Wangqing and Antu Counties. The coupling coordination degree between economic growth and ecological environment fluctuated between 0.4 and 0.6. In 2023, Wangqing County reached a state of intermediate coordination (index > 0.7), whereas Linjiang remained in a dysfunctional state (index < 0.5). Spatial clustering of coordination weakened over time, as indicated by Moran’s I values of 0.32, 0.21, and 0.09 in 2013, 2018, and 2023, respectively. These findings provide a quantitative foundation for promoting the coordinated development of human–land systems and guiding high-quality regional growth in forest-based economic zones. Full article