Search Results (72,455)

The built environment constitutes a significant factor influencing the physical and mental health of the elderly and has garnered sustained interdisciplinary attention in recent years. Based on 425 publications from the Web of Science database spanning 2001 to 2025, this study employed Citespace to conduct a quantitative analysis and synthesis of the relevant literature, aiming to explore the evolutionary trends, hotspot distributions, and pathways of influence regarding the impact of the built environment on elderly health. The results indicate a close positive correlation between the population ageing trend and annual publication growth. The total publication volume exhibited a shift from gradual to rapid growth, demonstrating a distinct phased evolutionary pattern. The research hotspots displayed a gradient structure of descending research intensity: “physical activity—quality of life—mental health.” The impact of the built environment (e.g., green space, street quality) on elderly health can be primarily categorised into three pathways: direct effects, physical activity, and mental health. Macro-level allocation of elderly care facilities and micro-level construction of age-friendly living circles represent the principal optimisation strategies currently employed to address elderly health needs. Finally, potential future research directions are discussed, encompassing aspects such as spatial scales, health representations, and mechanism expansion, with the aim of providing reference and insights for advancing the initiative of “healthy ageing.” Full article

Microplastics (MPs) are pervasive environmental contaminants detected in terrestrial, aquatic, and human systems. Emerging evidence indicates that MPs interact with microbiota through biofilm formation, induction of oxidative stress, enrichment of antibiotic resistance genes (ARGs), and disruption of short-chain fatty acid metabolism, leading to dysbiosis and altered host immune responses. These interactions contribute to dysbiosis, altered immune responses, and increased dissemination of ARGs, which pose health risks. This review synthesizes current knowledge on mechanisms of microplastic–microbiota interactions, highlighting evidence from in vitro, in vivo, and environmental studies. We discuss methodological challenges, including variability in particle types, concentrations, aging, and analytical approaches. Recent advances in multi-omics techniques provide deeper mechanistic understanding and reveal functional consequences of MP exposure. We outline key knowledge gaps and propose future research directions to assess the impact of microplastic exposure on ecosystems and human health. Full article

Global land use is changing rapidly, particularly in the tropics, where human populations have had relatively high growth rates in recent decades. This has resulted in wildlife increasingly living in or using anthropogenic environments, which often have different thermal properties in comparison to natural habitats. For example, materials used for buildings, such as concrete and brick, typically absorb, retain and radiate more heat than vegetated surfaces. The mosaic of man-made and natural areas formed when anthropogenic environments expand is therefore likely to generate microhabitats with different thermal properties. Here, we investigated the association between microhabitats and the body surface temperature of wild banded mongooses (Mungos mungo), a social mammal living in equatorial Uganda. After controlling for the significant effects of air temperature, humidity, time of day and body contact, we found that mongooses had the highest body surface temperatures when present on anthropogenic substrates, such as discarded roofing straw and refuse, while mongooses present on building materials, dead vegetation and bare soil had intermediate body surface temperatures. In contrast, mongooses had the lowest body surface temperatures when present in more natural, vegetated habitats. Although our study is relatively small scale and limited in scope, our results indicate that anthropogenic modifications to natural environments may result in hotter microhabitats, which may in turn impact space use, movement and thermoregulation in wildlife. We hope that our study encourages further research into this understudied but emerging topic. Full article

This study addresses the increasing need to structure knowledge in the field of circular resource management, with a focus on energy efficiency and sustainable resilience. Previous studies have examined various taxonomies for the circular economy, yet a clear gap remains in understanding how energy efficiency and resilience serve as the main pillars for operational stability. This study is designed as a bibliometric analysis based on a selection of relevant scientific articles. The identified factors were extracted based on their frequency of occurrence in the literature and processed using statistical clustering techniques to group them into coherent categories. The results show that the field is defined by a set of interconnected factors that can be structured into distinct clusters, reflecting key dimensions such as operational performance, environmental impact, and system resilience. Specifically, the analysis demonstrates how energy-related attributes and resilience attributes act as stabilizing factors within closed-loop systems. Based on these findings, this study proposes a structured framework that organizes the identified factors into a clear configuration. This framework provides a reference point for researchers who aim to develop models in this area and for practitioners involved in the design and optimization of circular systems. This study contributes by offering a structured view of the field and by supporting the development of consistent analytical and decision-making approaches grounded in the necessity of balancing resource recovery with system stability. Full article

The hydrogen fuel cell electric vehicles (FCEVs) are becoming a worldwide recognized eco-friendly choice which produces no tailpipe emissions while providing better energy efficiency than traditional internal combustion engine vehicles. The review delivers an in-depth evaluation of FCEVs through their assessment which focuses on their transportation and power generation functions. The research investigates hydrogen production methods together with storage and distribution systems and vehicle integration practices and performance enhancement techniques. The paper highlights major technical challenges such as high production costs, limited refueling infrastructure, storage inefficiencies, and fuel cell durability. The research uses battery electric and hybrid vehicle comparisons to assess FCEV market competitiveness. The life-cycle environmental impact assessment proves that using clean hydrogen sources and sustainable end-of-life strategies is essential for achieving FCEV operational capabilities. The review examines new electrochemistry materials science and hybridization solutions which have become essential methods for creating better efficiency and durability while decreasing costs. The study shows how policy regulations and collaborative programs fast-track hydrogen adoption through their impact on future hydrogen grid integration and renewable hydrogen production and circular economy methods. The review shows how experts from different fields reached their achievements while still facing challenges to improve FCEVs as fundamental components of environmentally friendly transportation systems and clean energy networks. Full article

In light of the accelerating process of global urbanization, the quality of cultural ecosystem services (CES) in urban parks has become a core metric for efforts to promote urban livability and sustainable cities. However, previous research has failed to consider the differential impacts of the external environment across various travel scenes. In this study, 32 parks in Chengdu serve as the empirical data, and public CES perception data are extracted from social media comments via text mining. Based on a unified 15 min time threshold, we delineate the service scope for four travel scenes and employ geographically weighted regression and piecewise regression models to analyze the spatial heterogeneity, driving mechanisms and threshold effects associated with the relationship between external environmental factors and park CES. The findings indicate that the external environment’s influence on CES exhibits a “scene-factor-scale” adaptation pattern. Walking scenes are influenced primarily by land-use and population factors; in contrast, cycling scenes rely on the availability of shared bicycle facilities, and public transport and driving scenes are driven by economic vitality and traffic-support factors, respectively. Five critical thresholds are identified, including a 40% impervious surface area. This research proposes scene-based optimization strategies and helps enhance the “external environment–travel behavior–spatial characteristics” coupling framework, thereby serving as a scientific reference for efforts to improve 15 min living circles. Full article

Reconfigurable intelligent surfaces (RISs) are regarded as a transformative technique for future wireless networks. Currently, the majority of research efforts have focused on channel estimation scenarios in communication systems assisted by a single passive RIS. However, single-RIS-assisted systems suffer from limited coverage performance, with significant performance degradation observed in dense obstacle environments. To mitigate the adverse impacts imposed by environmental factors, a dual-RIS-assisted communication system exhibits superior adaptability to practical scenarios. This work focuses on investigating such a system. It is worth noting that fully passive RISs lack the capability to process signals independently. Furthermore, when employing pilot-aided algorithms to acquire channel state information (CSI), wireless systems often encounter challenges arising from large channel matrix dimensions, thereby leading to substantial pilot overhead. To address the aforementioned issues, this paper proposes a novel semi-blind channel estimation method for multiple-input multiple-output (MIMO) systems aided by double reconfigurable intelligent surfaces (D-RISs). Specifically, we construct two tensor models, namely the Parallel Factor (PARAFAC) model and the Parallel Tucker2 model, for the received signal in two separate stages. By means of tensor decomposition, the joint channel estimation and symbol detection problem is reformulated as a least squares problem and solved using a two-stage algorithm. In the first stage, the ALS algorithm is adopted to estimate the transmitted symbols and provide initialization for the second stage. Then, in the second stage, the TALS algorithm is employed to obtain the final estimation results of the three sub-channels. Simulation results verify the effectiveness of the proposed receiver. Full article

This paper presents a high-spatial-resolution 3D system to simulate air quality in urban environments by coupling the WRF/Chem regional model with the PALM4U computational fluid dynamics model, together with an emission model using the SUMO microscopic traffic model. The system has been applied to two experiments in the city of Madrid, Spain. The first study quantifies the impact of four high-rise buildings on pollutant dispersion. The second evaluates the effect of changing tree types (broad-leaf vs. needle-leaf) in the Retiro Park on NO₂ and O₃ concentrations. Both simulations adopt a multiscale approach, using detailed 3D urban morphology, traffic flow data and meteorological conditions. In the first experiment, high-rise buildings caused local variations in NO₂ and O₃ of up to 15% and 20%, respectively. In the second experiment, replacing broad-leaf trees with needle-leaf trees led to a mean NO₂ reduction of 1.69% across 90.67% of the study area. This research demonstrates the value of integrated CFD modeling for planning urban mitigation strategies and optimizing air quality in complex urban environments. Full article

Fibrin gel, a protein-based polymer naturally generated during coagulation, has garnered attention in the biomedical field for applications such as fibrin glue, due to its specific physical and biological properties. Despite it, low mechanical strength and rapid degradation limited its utilization for biomedical applications. This study presents a reproducible protocol for the synthesis of pure fibrin hydrogels, aimed at achieving predictable structural properties through the precise calibration of fibrinogen and thrombin concentrations. By examining the mechanical and morphological characteristics, as well as the relationship between reagent concentrations and structural integrity, this research assesses impacts on swelling behavior, water absorption, and overall stability. Through a comprehensive analytical approach, we identified an optimal formulation, specifically 2.25 mg/mL fibrinogen and 1.375 U/mL thrombin, that effectively balances structural integrity with high cytocompatibility. The results demonstrate that this calibrated approach ensures high procedural reproducibility and a well-defined hydrogel architecture without the need for exogenous chemical cross-linkers. This work provides a robust methodological framework to overcome the common lack of reproducibility in fibrin-based hydrogel studies, positioning these materials as highly reliable candidates for advanced 3D in vitro models and biomedical applications. Full article

Background: Families caring for children with medical complexity (CMC) face sustained psychosocial demands that may impair health-related quality of life (HRQoL) and mental health. A clear map of how these outcomes are assessed and which factors shape them is needed to guide family-centered care. Methods: We conducted a scoping review following the Joanna Briggs Institute guidelines, and reports were prepared according to the PRISMA guidelines. Searches were conducted in PubMed, CINAHL, and EMBASE (January 2011 to December 2023) to find studies reporting on health-related quality of life (HRQoL) and/or mental health outcomes (anxiety, depression, burden) of family members and/or caregivers of CMC, including operationalization based on complex chronic condition (CCC) classifications, technology dependency, or the Pediatric Medical Complexity Algorithm (PMCA). Two reviewers independently screened records and recorded data, and the findings were synthesized narratively and thematically. Results: Sixty-seven studies met the inclusion criteria and spanned cross-sectional, cohort, case–control, pre–post and qualitative designs across conditions such as epilepsy, congenital heart disease, cerebral palsy, technology dependence and cancer. Common measures were PedsQL™ Family Impact Module, SF-36/12, HADS, Beck inventories and Zarit burden scales. Across the included studies, caregivers, predominantly mothers, frequently reported poorer HRQoL and higher levels of anxiety, depressive symptoms, or burden than comparison groups when these were available. Six recurrent themes emerged: (1) gendered caregiving with disproportionate maternal burden; (2) socio-economic gradients and financing models shaping outcomes; (3) culture, religion and spirituality as coping resources; (4) family and social support buffering distress; (5) school participation and coordinated services potentially reducing burden; and (6) interdependence between caregiver and child outcomes. Conclusions: Heterogeneous CMC definitions, outcome measures, and study designs limited comparability across studies. The mapped evidence suggests that family HRQoL and mental health outcomes are shaped by interacting clinical, social, and contextual factors. These findings may inform more family-centered and equity-oriented approaches to care. Future research should harmonize CMC definitions, standardize outcome measures, and prospectively evaluate multicomponent interventions. Full article

With the rapid economic development and social transformation in China, involution has drawn increasing attention across various disciplines. To test the generalizability of previous findings, the present research examined the relationship between upward social comparison and involution, the mediating role of fear of negative evaluation and the moderating role of self-construal in this link. Two studies were conducted. In study 1, 1549 Chinese college students completed four scales comprising Involution, Upward Social Comparison, and Fear of Negative Evaluation. Results indicated that upward social comparison was positively correlated with involution and fear of negative evaluation significantly mediated this relationship. In study 2, 392 college students participated in a priming experiment of self-construal and completed a battery of scales same as Study 1. A significant moderation of self-construal was observed between upward social comparison and fear of negative evaluation. Specifically, for individuals with the independent self-construal, upward social comparison had a weaker impact on fear of negative evaluation. For individuals with the interdependent self-construal, upward social comparison had a stronger impact on fear of negative evaluation. These findings highlight the complex interplay among upward social comparison, fear of negative evaluation, and self-construal in shaping involution among Chinese college students. Full article

Background: Mixed Reality (MR) environments rely on multimodal feedback to enrich sensory integration and realism, which enhances User Experience (UX). Prior studies have shown the benefits of haptic feedback in audio–visual MR medical training environments, but researchers have not fully examined how audio cues influence Haptic–Visual (HV) training environments. Methods: We built a high-fidelity MR medical training environment that synchronized visual, haptic, and audio of the human pulse. We conducted a between-subjects study with thirty novice participants who performed pulse palpation tasks in HV and Haptic–Audio–Visual (HAV) modalities. We employ a multidimensional UX evaluation by measuring task performance, presence, usability, and task workload to assess the impact of adding audio feedback in MR pulse palpation training environments. Results: Participants in the HAV modality performed tasks more accurately and reported stronger presence and higher usability. They did not report any significant increase in workload compared to the HV modality. Conclusions: Audio feedback improved perceptual coherence and enhanced UX in pulse palpation tasks. Our findings highlight the training value of integrating multimodal feedback in MR pulse palpation training systems and provide practical guidelines for designing more immersive and effective MR environments. Full article

This article advances a critical rethinking of digital transformation in craft-based and socially embedded production systems by examining ateliers of social integration as community-led solidarity spaces where sewing and embroidery practices intersect with relational, care-oriented, and collective dimensions. Existing debates on digitalisation remain largely centred on automation, scale, and efficiency, overlooking how technology operates within care-based and territorially embedded economies. To address this gap, the article develops an alternative analytical framework grounded in relational economies and the ethics of care. While the phenomenon is transnational, the empirical analysis focuses on the Italian context and draws on data from CreAbility, an ongoing action-research project aimed at building a digital community of micro and small fashion enterprises, associations, and designers characterized by social and cultural impact. Against dominant, scale-oriented models of innovation, the article conceptualises ateliers of social integration as relational ecosystems in which value is co-produced through social ties, inclusion practices, and localized knowledge. From this perspective, digital technologies serve as situated mediators that extend and amplify proximity-based relations. This reframing challenges linear and growth-centred accounts of digital innovation, instead proposing a non-linear, care-centred, and place-based model of digital transformation. Methodologically, the study adopts a mixed-methods design combining quantitative and qualitative techniques. Data were collected between June and July 2025 through an online questionnaire distributed to a broader population of Italian ateliers of social integration and were complemented by participatory focus groups involving organisational representatives. The findings show that these ateliers operate as infrastructures of proximity in which production, care, and community are co-constitutive, and where digital practices support forms of extended embeddedness rather than substitution. In doing so, the article contributes to debates on digitalisation, social innovation, and the care economy by showing how alternative, relational, and non-scalable models of production can reshape the meaning and the trajectories of innovation. Full article

Home has been recognized as a health infrastructure through hospital-at-home, home care, and direct-to-consumer wellness and fitness products. However, the patient home environment has been largely overlooked by healthcare as a means to improve therapy outcomes for difficult-to-treat chronic conditions, such as migraine; high-impact pain; and treatment-resistant depression, anxiety, or insomnia. Growing research evidence enables the formulation of a therapeutic home environment standard consisting of three pillars: biophilic design, indoor environmental quality, and intentional self-care spaces that serve as habit cues and foster sleep hygiene, stress management, relaxation, physical activity, and social interactions. Together, these environmental and behavioral interventions can transform real-world inputs into clinical benefits through autonomic, circadian, and emotional regulation. We also highlight the converging roles of self-management, self-efficacy, self-regulation, and self-compassion in sustaining patient engagement and healing at home. The applicability of the therapeutic home environment as an adjunct is illustrated in the case of chronic migraine, a debilitating neurological condition commonly associated with comorbidities. Current challenges in achieving migraine freedom with FDA-approved pharmacotherapies, neuromodulation devices, and digital health technologies are underscored by the high prevalence of refractory, chronic, episodic, and pediatric migraine. Perspectives on developing a personalized, multimodal cure for migraine are illustrated through a hypothetical drug + digital combination therapy comprising anti-CGRP drugs and an AI-powered digital health platform that promotes daily self-care practices within the therapeutic home environments. In conclusion, achieving sustained freedom from high-morbidity conditions requires end-to-end care ecosystems that integrate pharmacological, cognitive, behavioral, and environmental interventions into real-world settings. Full article

There is a risk of wire breakage and falls when constructing high-voltage transmission lines. If this occurs, it seriously endangers the safety of crossing objects. As key structures commonly used in power construction to protect crossing facilities from wire breakage, the scientific design and accurate calculation of the safety margins for suspension-crossing frames are particularly important. However, the existing energy transfer mathematical model for impact-bearing cables after conductor fracture cannot accurately describe the physical process, and the value of the fixed break impact coefficient (e.g., 2.89 for the double circuit) adopted in the design specification is not sufficiently accurate. Thus, there is a large deviation in the bearing cable safety factor, which can cause the safety margin to be either too large or insufficient, in turn seriously affecting the safe and efficient completion of cross-line construction. To this end, in this study, we first constructed a mathematical model of impact energy conversion based on the law of conservation of energy; then, we proposed an accurate method for calculating the safety factor of the bearing cable. To verify the method’s accuracy, a full-scale true wire breakage impact test was conducted. The results show that the error between the impact coefficient calculated by this method and the test result is only 6.7%, significantly better than the 38.3% error, found when the traditional design specification is used to fix the value. This method is applied to a 220 kV crossing project case. The analysis shows that, to meet the same safety requirements, the model recommends the use of Φ12 Dyneema rope, while the traditional method requires Φ16 Dyneema rope; simultaneously, for the Φ18 Dyneema rope, the maximum allowable span calculated by this method is 450 m, which is greater than the 400 m calculated using the traditional method. Thus, this method can calculate a more accurate impact coefficient based on actual working conditions, thereby significantly optimizing the selection of load-bearing cables and increasing the upper limit of span design while ensuring construction safety. Overall, the research conclusions provide important theoretical and technical support for optimizing the design and safety check of the suspension-crossing frame. Full article