Search Results (4,119)

In the rapid development of rural tourism, multiple disturbances, such as capital reorganization, uneven resource distribution, and the marginalization of farmers as the main body, have emerged. This has led to the dual challenges of increased vulnerability and insufficient resilience of farmers’ livelihood systems in the face of risk shocks. Based on survey data of the “Agri-Tourism–Commerce–Culture Integration” demonstration zone in China, this study integrates the Pressure–State–Response model into the analysis of livelihood resilience and constructs a “vulnerability–adaptability–recuperability” tri-dimensional framework. Through methods such as the entropy weight method, the synthetical index method, grey relational degree analysis, and the obstacle degree model, this study measures the levels of different livelihood types of farmers in each dimension of livelihood resilience and their influencing factors. The research findings indicate that the overall livelihood resilience of farmers in the study area was at a medium level, with vulnerability making the most significant contribution, reflecting that the current livelihood system is dominated by risk resistance. Different types of farmers exhibit heterogeneity in resilience, with tourism-oriented farmers showing the highest resilience and agriculture-oriented farmers the lowest. However, tourism-oriented farmers also display the most prominent vulnerability, revealing the tension between short-term efficiency enhancement and long-term risk diversification in single livelihood strategies. Key factor analysis reveals that vulnerability correlates most strongly with livelihood resilience. The most correlated indicators are the price increase rate, proportion of migrant workers, and neighborhood trust in the vulnerability, adaptability, and recuperability dimensions. Diagnosis of obstacle factors reveal that loan accessibility, land resource dependency, and agricultural risk perception rank as the top three common obstacles, with tourism-driven farmers exhibiting higher obstacle degrees than other farmer categories. These findings not only validate the empowering effect of rural tourism on farmers’ livelihoods but also reveal the different livelihood strategies chosen by various farmers. Based on the results, this study proposes policy recommendations of “common optimization + individual adaptation” to enhance farmers’ livelihood resilience. This is conducive to transforming external support into farmers’ endogenous resilience capabilities and provides a useful reference for achieving the deep integration of rural tourism and farmers’ livelihood systems. Full article

This paper presents the results of an empirical study examining residents’ perceptions of contemporary dwellings in Serbia, with a focus on spatial organization, comfort, and everyday usability. An online survey conducted in October 2025 was structured into four thematic sections: demographic characteristics, dwelling attributes, housing quality assessment, and subjective spatial experience. The study is based on the hypothesis that apartments built during the socialist period are perceived as spatially and functionally superior to recently constructed housing. The results indicate a pronounced user preference for dwellings built between 1975 and 1990, particularly in terms of functional layout, kitchen daylighting, storage capacity, and spatial adaptability, despite their technical obsolescence and lower energy performance. By highlighting the relationship between spatial characteristics and user satisfaction, the findings contribute to a better understanding of everyday housing experience and provide a basis for informing architectural design and housing policy grounded in user needs rather than exclusively market- or norm-driven criteria. Full article

Place-based climate adaptation workshops are designed to help communities understand their climate-related vulnerabilities and plan adaptive actions in response. Through a series of surveys and interviews with participants, we examined the immediate and long-term impacts of eight place-based climate adaptation workshops in the United States. Six took place online due to COVID-19 restrictions; two took place in-person. All workshops positively enhanced declarative, procedural, and relational knowledge of participants and, to a lesser extent, their personal commitment to work on climate adaptation, optimism about climate adaptation in their communities, and perceptions of qualities of the network of actors engaged locally in climate adaptation. In-person workshops yielded somewhat stronger positive influences on relationship-building than online workshops. Most participants who responded to surveys 6 months to a year after the workshop reported that their workshop had a “minor” to “moderate” impact on stimulating meaningful adaptation actions in their area. Reported actions attributed to the workshops included the incorporation of climate adaptation into formal planning documents, the expansion of adaptation outreach, consideration of climate adaptation in day-to-day planning and decision-making in local government departments, and both successful and unsuccessful grant applications for projects and positions associated with climate adaptation. We describe the workshops’ design, as well as participant assessments of the value of different workshop components. We conclude with lessons learned for future effective workshop planning and design. Full article

This study critically examines the technological feasibility, regulatory challenges, and societal acceptance of Pilotless Passenger Aircraft (PPAs) in commercial aviation. A mixed-methods design integrated quantitative passenger surveys (n = 312) and qualitative pilot interviews (n = 15), analyzed using SPSS and NVivo to capture both statistical and thematic perspectives. Results show moderate public awareness (58%) but limited willingness to fly (23%), driven by safety (72%), cybersecurity (64%), and human judgement (60%) concerns. Among pilots, 93% agreed automation improves safety, yet 80% opposed removing human pilots entirely, underscoring reliance on human adaptability in emergencies. Both groups identified regulatory assurance, demonstrable reliability, and human oversight as prerequisites for acceptance. Technologically, this paper synthesizes advances in AI-driven flight management, multi-sensor navigation, and high-integrity control systems, including Airbus’s ATTOL and NASA’s ICAROUS, demonstrating that pilotless flight is technically viable but has yet to achieve the airline-grade reliability target of 10⁻⁹ failures per flight hour. Regulatory analysis of FAA, EASA, and ICAO frameworks reveals maturing but fragmented approaches to certifying learning-enabled systems. Ethical and economic evaluations indicate unresolved accountability, job displacement, and liability issues, with potential 10–15% operational cost savings offset by certification, cybersecurity, and infrastructure expenditures. Integrated findings confirm that PPAs represent a socio-technical challenge rather than a purely engineering problem. This study recommends a phased implementation roadmap: (1) initial deployment in cargo and low-risk missions to accumulate safety data; (2) hybrid human–AI flight models combining automation with continuous human supervision; and (3) harmonized international certification standards enabling eventual passenger operations. Policy implications emphasize explainable-AI integration, workforce reskilling, and transparent public engagement to bridge the trust gap. This study concludes that pilotless aviation will not eliminate the human element but redefine it, achieving autonomy through partnership between human judgement and machine precision to sustain aviation’s uncompromising safety culture. Full article

Smart cities generate vast multimodal data from IoT devices, surveillance systems, health monitors, and environmental monitoring infrastructure. The seamless integration and interpretation of such multimodal data is essential for intelligent decision-making and adaptive urban services. Multimodal machine learning (MML) provides a unified framework to fuse and analyze diverse sources, surpassing conventional unimodal and rule-based approaches. This review surveys the role of MML in smart city sensing across mobility, public safety, healthcare, and environmental domains, outlining key data modalities, enabling technologies and state-of-the-art fusion architectures. We analyze major methodological and deployment challenges, including data alignment, scalability, modality-specific noise, infrastructure limitations, privacy, and ethics, and identify future directions toward scalable, interpretable, and responsible MML for urban systems. This survey serves as a reference for AI researchers, urban planners, and policymakers seeking to understand, design, and deploy multimodal learning solutions for intelligent urban sensing frameworks. Full article

Background/Objectives: Most research linking diet and mental health outcomes is from high-income countries, limiting insight into how these relationships manifest in culturally diverse, vulnerable contexts, such as the Caribbean. This scoping review aims to map existing research on the relationship between aspects of diet and mental health within Caribbean populations, to identify evidence gaps and guide future research. Methods: Eleven databases were searched for studies published between 2000 and 2024 in 33 Caribbean countries which assessed the relationship between diet and mental health outcomes. Duplicate screening and extraction were conducted using Redcap software, and a narrative synthesis and evidence gap map were created. The original protocol was registered with Open Science Framework. Results: Forty-four records were included, nine of which focused on eating disorders (examined separately). Most were cross-sectional studies of the general population, with few experimental and qualitative studies. Surveys were the most frequently applied data collection tool, often without mention of local adaptation or validation. Most records examined food security and depression as their ‘diet’ and ‘mental health’ variables, respectively. Frequently explored relationships included autism and seafood intake and fruit and vegetable intake, while depression and food security was the most widely examined relationship across studies. Conclusions: Caribbean research on diet–mental health relationships is growing though it is limited in scope, design, and cultural validity. Strengthening this evidence base requires studies whose primary aim is in nutritional psychiatry, using culturally relevant tools, and an expansion of study designs that incorporate Caribbean food systems and sociocultural contexts surrounding diet and mental health. Full article

Saproxylic insects are key forest components but highly vulnerable to practices that reduce deadwood quality and diversity. We investigated the response of Platycerus caraboides (Coleoptera: Lucanidae)—an elusive, cool-adapted stag beetle associated with moist, small-diameter decayed wood—to forest coppicing in the Euganean Hills (northeastern Italy). Surveys were conducted both before (2017–2020) and after coppicing (2021–2025) to compare plots that had undergone coppicing with those that remained uncoppiced. Field investigation focused on the volume of downed woody debris and on P. caraboides occurrence, quantified as encounter rates of deadwood bearing stag beetle oviposition scars or the evidence of stag beetle presence. Coppicing and wood harvesting reduced the overall volume of deadwood but did not significantly affect the amount of small-diameter downed woody debris. Nevertheless, P. caraboides showed consistently lower encounter rates in coppiced areas, particularly during the initial survey period, suggesting that altered microclimatic conditions and reduced debris quality may hinder colonization or larval development. These findings underscore the need to retain small- and medium-diameter woody debris, maintain partial canopy cover, and enhance structural heterogeneity to conserve overlooked, cool-adapted saproxylic species—especially under climate change and in line with EU biodiversity restoration goals. Full article

The matter of aligning universities’ curricula with the actual demands of a constantly changing labor market has become an important issue nowadays, due to the prevailing mismatches between acquired skills and competences during education years and the necessities of current jobs. Disequilibria and inequalities in the labor market often generate general disappointment with education degrees. With the pressure of technological advancements and AI integration in many areas of work, future employees’ career paths are challenged even more, and the adaptability of higher education institutions to the real needs of the labor market is questioned. Artificial intelligence (AI) is the technology that allows computer systems and machines to simulate human learning, problem-solving, and decision-making. This paper aims to explore if universities in Romania foster sustainable human capital development through enhancing their educational programs to fit the changes produced by artificial intelligence and how the reskilling of graduates will play a hugely significant role in staying resilient during such disruptions. A quantitative survey was conducted among recent Romanian university graduates to outline their perceptions of curriculum relevance and their level of preparedness for the AI-driven job market. The results highlight gaps between formal education and labor market demands in terms of limited exposure to AI-related skills and a growing need for reskilling to secure suitable jobs for graduates in the long term, while also emphasizing the importance of aligning educational policies with sustainable labor market integration. Full article

Urban resilience has emerged as a crucial objective for achieving sustainable urban development. However, its practical integration into planning remains limited. This study evaluates the extent to which resilience thinking is integrated into Chengdu’s urban planning system by combining policy-theoretical analysis with empirical evidence. Drawing on a framework of nine resilience attributes, we conduct content analysis of Chengdu’s three types of statutory plan documents (Socioeconomic Development Plan, Urban and Rural Plan, and Land Use Plan) and a questionnaire survey of 70 expert planners. The results reveal that resilience is reflected implicitly in the plans through engineering-oriented attributes such as robustness, efficiency, and connectivity. In contrast, social and ecological attributes like inclusion, redundancy, and innovation are largely absent. Planners demonstrate moderate awareness of resilience, yet associate it predominantly with rapid response and infrastructure robustness rather than long-term adaptation or community capacity-building. These findings indicate the dominant top-down, growth-centric planning logic that constrains the adoption of broader socio-ecological resilience concepts. This paper concludes with policy recommendations for institutionalizing resilience in Chinese urban planning through legal mandates; multi-sectoral coordination; and participatory, adaptive planning frameworks. Full article

This study presents a cost-efficient Hardware-in-the-Loop platform for liquid-level process control education, designed to bridge the gap between theoretical learning and real-world industrial practice. The proposed system integrates NI myRIO and NI myDAQ hardware with LabVIEW-based real-time simulation and controller implementation, enabling flexible experimentation across a range of linear and nonlinear tank models. Through real-time controllers, students can design, tune, and validate classical digital controllers while gaining hands-on experience with real-time process dynamics. Experimental results from Model-in-the-Loop and Hardware-in-the-Loop configurations confirm the high accuracy between simulated and hardware responses, with low normalized root mean square error (NRMSE < 0.07) and high normalized cross-correlation (NCC > 0.99) between MIL and HIL responses. Additionally, learning outcomes were assessed using rubrics and student perception surveys aligned with ABET criteria. The platform successfully satisfies ABET student outcomes (SO1, SO2, SO7) by promoting modeling, system identification, and real-time implementation skills. Student surveys reveal high satisfaction mean = 5.44 and a Cronbach’s α of 0.91367, highlighting enhanced engagement, flexibility, and confidence in control system design. This work demonstrates an adaptable, scalable educational solution that strengthens engineering competencies while keeping implementation costs low. Full article

This study examines the influence of agricultural labor policies on the sustainability and productivity of farming enterprises in Türkiye, with a particular focus on the sector’s increasing reliance on foreign labor. Using primary data collected through face-to-face surveys with 73 agricultural enterprises in the Çumra District of Konya Province during the 2023–2024 production year, supplemented by secondary data from national and international institutions, the research explores how workforce composition, policy regulations, and socio-economic factors affect farm performance. Descriptive and comparative statistical analyses were conducted using SPSS to evaluate demographic characteristics, employment patterns, wage structures, and satisfaction levels among local and foreign workers. The findings indicate that as farm size expands, the use of foreign labor—mainly from Afghanistan, Uzbekistan, and Turkmenistan—significantly increases, generating cost and productivity advantages but also raising concerns related to social integration and legal employment barriers. Local labor demonstrates greater competence in mechanization but remains insufficient in quantity, deepening the existing labor shortage. A substantial majority (91%) of producers consider current labor regulations restrictive and emphasize the need for government incentives, vocational training programs, and simplified permit procedures for foreign workers. The results highlight the importance of inclusive and adaptive labor policies that harmonize economic efficiency with social cohesion, supporting the achievement of Sustainable Development Goals (SDG) 2, 8, and 11—Zero Hunger, Decent Work and Economic Growth, and Sustainable Cities and Communities. Full article

As artificial intelligence (AI) becomes an integral part of organizational operations, collaboration between humans and AI is transforming employees’ work experiences and behavioral patterns. This study examines the psychological challenges and coping responses associated with such collaboration. Drawing on Cognitive Appraisal Theory, we construct and test a theoretical framework that connects employee–AI collaboration to knowledge hiding via job insecurity, while considering AI trust as a moderating variable. Data were collected through a three-wave time-lagged survey of 348 employees working in knowledge-intensive enterprises in China. The empirical results demonstrate that (1) employee–AI collaboration elevates perceptions of job insecurity; (2) job insecurity fosters knowledge-hiding behavior; (3) job insecurity mediates the link between collaboration and knowledge hiding; and (4) AI trust buffers the positive effect of collaboration on job insecurity, thereby reducing its indirect impact on knowledge hiding. These findings reveal the paradoxical role of AI collaboration: although it enhances efficiency, it may also provoke defensive reactions that inhibit knowledge exchange. By highlighting the role of AI trust in shaping employees’ cognitive appraisals, this study advances understanding of how cognitive appraisals influence human adaptation to intelligent technologies. Practical insights are offered for managers aiming to cultivate trust-based and psychologically secure environments that promote effective human–AI collaboration and organizational innovation. Full article

Background: Rehabilitation technologies, including assistive devices, adaptive software, and robotic systems, are increasingly integral to contemporary rehabilitation practice. Yet, ensuring that training in their use is inclusive and accessible remains a critical challenge. Methods: This study reports findings from patient and public involvement (PPI) activities conducted by the National Institute for Health and Care Research (NIHR) HealthTech Research Centre in Rehabilitation. Fifteen contributors participated, comprising rehabilitation professionals and educators, individuals with lived experience of serious illness, injury, or disability requiring rehabilitation, and technology innovators. The purpose of these activities was to identify the factors necessary to ensure that training in rehabilitation technologies is equitable for people with sensory, cognitive, and physical impairments. Findings: Contributors highlighted a series of priority domains that together capture the breadth of challenges and opportunities in this area. These included the need to address physical, sensory, and cognitive accessibility; to foster participation, motivation, and engagement; to strengthen instructional design and delivery; to ensure technological accessibility and integration; to enhance staff training and competence; and to embed participant-centred and policy approaches. Contributions in these domains were synthesised into thematic categories that provide a structured understanding of the training requirements of rehabilitation technology recipients. Evaluation: The PPI process was evaluated using the Guidance for Reporting Involvement of Patients and the Public (GRIPP2) Short Form, supplemented by an evaluation survey. This dual approach ensured that the contributions were systematically documented and critically appraised. Implications: Guided by implementation science, the principal output of this work was a co-created stakeholder engagement strategy, structured using the Implementation STakeholder Engagement Model (I-STEM). This plan will serve as a foundation for future research exploring the education and training needs of diverse stakeholder groups, thereby contributing to the development of more inclusive and effective rehabilitation technology training practices. Full article

The purpose of this study was to engage high school science teachers as co-design partners in refining and extending instructional frameworks to support multiple-document reading and writing in science classrooms. Using a participatory mixed-methods design, the project adapted the InSPECT framework for secondary science, developed professional development (PD) materials to introduce the framework, and explored the role of generative artificial intelligence (AI) in lesson planning. Five virtual focus group sessions guided the co-design of PD activities, followed by a pilot implementation in one biology classroom. Data included focus group and interview transcripts, surveys, and student work artifacts. Analyses examined teachers’ perceptions of PD features, framework usability, and student engagement. Teachers valued PD that was practical, relevant, and feasible within classroom constraints and described the frameworks as clear, stepwise structures that supported lesson design and literacy integration. Student work showed that paraphrasing was an accessible entry point, while bridging, elaboration, and source evaluation required additional modeling. Teachers viewed generative AI as a promising planning aid but expressed concerns about accuracy and ethics. Findings informed revisions emphasizing discipline-specific exemplars, scaffolds for higher-order strategies, and AI-literacy modules, illustrating how participatory design can yield feasible, teacher-centered PD. Full article

This study examines how the education sector in one Canadian province has navigated post-pandemic recovery between 2023 and 2025, drawing on cross-sectional survey data from a convenience sample of sector employees in the 2023–2024 (n = 1411) and 2024–2025 (n = 742) school years. The findings revealed selective improvement over time, including increased organizational commitment among teachers and other education workforce members, alongside reduced perceptions of students’ academic, social, and behavioural needs. Teachers indicated no corresponding increases in their perceived frequency of meeting students’ needs, whereas other educator sector employees indicated improvement in this area. In contrast, no year-over-year differences were found in the education workforce members’ and teachers’ stress, coping, well-being or connectedness, and job search behaviours remained high, ranging from 14 to 43%. Guided by the Job Demands–Resources (JD-R) model, these findings suggest that post-pandemic recovery reflects the establishment of a new and complex baseline. The coexistence of improved commitment with persistent job strain signals a paradox of stability amid depletion. Qualitative responses reinforced this interpretation, revealing how educators adapt to ongoing organizational resource constraints and shifting student needs. Together, the findings extend JD-R-informed understandings of post-crisis workforce adaptation and identify implications for leadership and policy aimed at supporting organizational health and workforce sustainability. Full article