Search Results (882)

The key path to achieving global sustainable development is a low-carbon economy, which is of great significance for implementing the United Nations’ 2030 SDGs 7, 11, 12, and 13. Utilizing provincial panel data of 30 Chinese provinces spanning 2006–2024, this study explores the influencing pathways and intrinsic mechanisms of urban-rural integration (abbreviated as U-R integration) toward green low-carbon sustainable growth. Empirical results demonstrate that U-R integration prominently boosts regional low-carbon growth, and such conclusions pass multiple reliability verification procedures. Heterogeneity assessments demonstrate that the impact is most pronounced in eastern zones, whereas it proves insignificant or even adverse in central, western, and northeastern locales. The influence of U-R integration is notably stronger in less urbanized districts relative to highly urbanized ones. Mechanism analysis suggests that energy structure transformation and industrial structure transformation play an intermediary role. Further extended analysis shows that Internet development features a unique threshold characteristic; once the threshold is exceeded, it markedly strengthens the catalytic role of U-R integration. Furthermore, spatial spillover estimates reveal that U-R integration drives local low-carbon progress while delivering remarkable positive externalities to adjacent provinces. Accordingly, this paper proposes adopting region-specific strategies, reinforcing institutional arrangements and factor mobility support for central, western, and northeastern areas, and advancing U-R integration in line with local realities. Full article

Epigenetic mechanisms profoundly regulate gene expression, developmental trajectories, and phenotypic variation, extending biological influence beyond DNA sequence alone. A growing body of evidence suggests that environmental exposures, including pollutants, drugs, stress, and diet, can induce germline and early embryonic epimutations that alter developmental programs with lasting consequences for neurodevelopmental and cognitive outcomes. However, the fields most relevant to these processes have largely developed independently. These include germline epigenetics, early embryonic patterning, neurodevelopment and cognitive regulation, and intergenerational or transgenerational inheritance. Each field has its own conceptual frameworks and mechanistic models. This fragmentation obscures the biological reality that these systems are tightly interconnected: environmentally induced epigenetic perturbations in gametes can reshape the epigenetic landscape of the early embryo, influence lineage allocation during gastrulation, and ultimately modify the molecular architecture of the developing central nervous system. A systems–biology perspective capable of linking germline epimutations and early embryonic epigenetic instability to later neurodevelopmental and cognitive phenotypes and their potential inheritance is therefore required. This review synthesizes current evidence across these traditionally isolated domains and proposes a coherent mechanistic framework linking germ cell epimutations and early embryonic epigenetic instability to the emergence of neurodevelopmental and cognitive phenotypes. By bridging these conceptual gaps, we aim to establish a cohesive foundation for understanding how early epigenetic disruptions generate long-lasting and in some cases heritable effects on brain development and cognitive function. Full article

The growing integration of immersive technologies into education is opening new possibilities for teaching and learning, while also raising concerns about the reliability and potential distortion of knowledge in artificial intelligence-mediated environments. Understanding how users perceive and accept artificial intelligence-generated content in immersive learning systems is therefore essential. This study explores the factors that influence user acceptance of artificial intelligence-driven virtual reality educational applications and explains it through a multidimensional framework that extends the Technology Acceptance Model, the Theory of Reasoned Action, and the Theory of Planned Behavior—a new ED-SCALE model. We innovated the previous models by adding an ergonomic dimension, often overlooked in virtual reality-based education. To test the model, we developed an artificial intelligence-driven virtual reality educational escape room designed to simulate adaptive and interactive learning experiences. Data were collected from 213 participants using a questionnaire measuring subjective norms, perceived behavioral control, attitudes toward artificial intelligence-mediated instruction, perceived informational efficacy, and ergonomic quality. The findings show that ergonomic quality, intuitive interfaces, physical comfort, and social influence play an important role in shaping user trust and long-term adoption intentions. The results suggest that the success of artificial intelligence-driven immersive learning systems depends not only on technological performance but also on user experience and social context, confirming our first hypothesis regarding new variables that are conditional for virtual technology acceptance. Full article

Caviar extract is widely used in luxury cosmetics and is generally defined as a homogeneous ingredient derived exclusively from sturgeon eggs. However, its molecular composition remains inadequately characterised. In this study, proteomic analyses were performed on 14 commercial caviar samples from different sturgeon species and geographical origins, examined independently in two laboratories. Across three single-origin samples (Germany, Poland, China), 1437 protein groups and 3452 unique peptides were identified, with consistent overlaps with sturgeon ovarian fluid (≥25–38 proteins). Extending this analysis across multiple species confirmed the presence of ovarian fluid-associated proteins in all examined groups, including 69 in Acipenser baerii, 61 in A. gueldenstaedtii, 55 in A. schrenckii, and 49 in H. huso. The results showed that ovarian fluid is consistently co-extracted during standard roe harvesting processes due to its strong egg surface adhesion, making this co-extraction intrinsic rather than incidental. Proteomic profiling revealed a complex mixture of egg- and ovarian fluid-derived proteins, including zona pellucida glycoproteins, immunoglobulins, complement components, proteases, coagulation factors, and antioxidant enzymes. Many of these proteins influence skin biology, suggesting that the functional effects attributed to caviar extract may partially originate from ovarian fluid constituents rather than yolk-derived nutrients alone. At the same time, the presence of immune-active and enzymatic proteins raises important questions regarding safety assessment and regulatory oversight. Species-specific proteomic clustering also indicates considerable composition heterogeneity, challenging assumptions of ingredient standardisation. Together, these results highlight a discrepancy between current definitions and the molecular reality and underscore the need for improved molecular characterisation, updated regulatory definitions, and the consideration of alternative, cell-based production strategies for cosmetic applications. Full article

Competency in musculoskeletal (MSK) ultrasound requires learners to relate probe manipulation to spatial reasoning, image projection, and the appearance of characteristic artefacts, which remains challenging during early training due to the limited spatial context provided by conventional instructional resources. This study investigates whether reconstructing real MSK ultrasound examinations in an immersive extended reality (XR) environment is perceived as useful for early familiarisation with probe handling and image interpretation. The proposed system reproduces ultrasound acquisitions using synchronised ultrasound video, six-degree-of-freedom probe tracking, and surface scans acquired from cadaveric specimens, enabling the reconstruction of spatially accurate probe trajectories with each ultrasound frame linked to a corresponding position and orientation. Within the XR environment, users can interactively explore these trajectories or observe automated playback in which the recorded probe motion is presented together with the corresponding ultrasound sequence. An exploratory evaluation with healthcare professionals was conducted to assess perceived usefulness and clarity of spatial relationships. The results indicate that participants perceived spatially coherent playback of real ultrasound examinations in XR as a potentially useful aid for understanding probe–image relationships. These findings suggest the feasibility of this approach as a complementary resource for introductory MSK ultrasound training. Full article

Purpose: This study provides a critical examination of the literature on applying artificial intelligence (AI) and Extended Reality (XR) in restaurant settings and related foodservice operations. It focuses on how AI and XE influence consumer nutrition awareness and decision-making about food choices, and their implications for customer satisfaction, loyalty, and service delivery in foodservice environments. Design/methodology/approach: The study adopts a systematic literature review (SLR) approach following the PRISMA method. An initial search identified over 3900 academic papers published between 2016 and 2025. Studies were selected on the basis of predetermined inclusion and exclusion criteria, and 26 peer-reviewed articles were analyzed. The review provides a conceptual synthesis and develops propositions for practical applications and future research directions. Findings: The review reveals a shift from static systems that rely on optimization, toward adaptive and user-centered solutions that are behavior-oriented. AI applications predominate in the case of calorie tracking, personalized recommendations, and menu planning. Though deployment of XR technologies (e.g., AR and VR) is less prevalent, they offer potential for immersive, and real-time interventions. A key distinction emerges between studies demonstrating empirical effectiveness (e.g., improved understanding and healthier choices) and those focused on technical and/or conceptual developments. To date, there has been limited validation of behavioral impacts in foodservice settings. Originality: This study offers a theory-informed conceptualization of AI and XR applications in restaurant and foodservice contexts by integrating three perspectives: hospitality (menus and dining experience), nutrition (dietary awareness and healthier choices), and human–technology interaction (technology acceptance and user engagement). The study reconceptualizes AI- and XR-enabled systems as behavioral intervention tools and outlines a focused research agenda for advancing nutritional communication in foodservice environments. Full article

To explore the influence of reaction wheel perturbations on the image quality of a space optical telescope, a comprehensive dynamic model of a precision optical system was established, and an optical-mechanical integrated analysis approach was adopted to calculate the line-of-sight (LOS) error of the optical telescope under reaction wheel disturbances and determine the key mode that contributes the most significantly to the LOS error based on the entire satellite hierarchy. The rigid body displacements and mirror deformations generated by the optical reflector under reaction wheel perturbations were analyzed in synergy with the optical system to illuminate the impact of reaction wheel perturbations on the imaging quality of the optical imaging system. Finally, a satellite micro-vibration experiment was conducted, and the relative errors between the simulation and the experiment of the optical telescope’s object space axis of LOS error under key modes were 9.34% and 6.52% respectively, thereby validating the accuracy of the simulation analysis. The analysis outcomes offer direct engineering guidance for the structural layout and vibration isolation design of on-orbit optical satellites. The core innovations of this study are primarily manifested in three aspects: First, a full-link optomechanical integrated analysis framework is established, which synergistically accounts for the coupled effects of mirror rigid-body displacement and surface deformation on imaging performance, thereby addressing the limitations of single-factor analysis in existing research. Second, the framework is validated through satellite micro-vibration experiments, with the relative errors between simulation and experimental results both below 10%, ensuring the engineering reliability of the proposed method. Third, the scope of micro-vibration analysis is extended across scales from macroscopic space optical systems to micro/nano-scale precision optical devices. Beyond its application to space telescopes, this framework can be directly generalized to micro-optical systems sensitive to micro-vibrations, including augmented reality (AR) near-eye displays, microlithography objectives, and MOEMS-based micro-devices. The proposed framework is universal and can be directly extended to micro-optical systems such as MOEMS-based devices, near-eye display modules, and photonic crystal optomechanical systems, providing a standardized analytical approach for anti-vibration design in micro-system engineering. Full article

Background: Although menstrual cycle-based training has attracted increasing attention in endurance sports, research has predominantly focused on ergometric parameters. However, the subjective perspectives and lived realities of athletes remain relatively underexamined. Accordingly, this study aimed to explore performance perceptions and self-regulatory experiences of female endurance athletes within real-life training and competitive contexts. Methods: Qualitative semi-structured interviews were conducted with twelve female endurance athletes (ages 18–42) across triathlon, running, swimming, cycling, and skiing. Data were analysed inductively using descriptive thematic analysis in MaxQDA. Results: Six themes emerged related to menstrual cycle experiences: body awareness and cycle-related perceptions; the influence of expectations and self-efficacy on perceived performance; heterogeneous approaches to cycle-based training; training and recovery adjustments; the ambivalent role of digital tracking tools; and communication openness and barriers. Overall, cycle-based training was applied inconsistently and served more as a framework for interpreting physical symptoms than as a means of optimising performance. Conclusions: In this sample of endurance athletes, cycle-related effects on performance and symptom perceptions were primarily shaped by biopsychosocial factors rather than physiological considerations alone. The menstrual cycle supported self-regulation, but rigid interpretations may risk reinforcing negative expectancies. These insights extend existing work by foregrounding athlete-centred, flexible approaches over deterministic training models. Full article

Extended reality (XR), encompassing augmented reality (AR), virtual reality (VR), and mixed reality (MR), is a key enabling technology for virtual worlds, and XR-related patents continue to grow rapidly. However, patent-based XR technology analysis faces a fundamental challenge: document–keyword matrix (DKM) built from patent titles and abstracts are typically high dimensional, sparse, and often exhibit excess zeros, which can distort inference when conventional text mining pipelines are applied without a generative count perspective. In this study, we propose a statistically grounded XR technology analysis framework that combines likelihood-based count modeling with interpretable structure mining to map XR sub-technologies from a patent DKM. Using an XR patent–keyword matrix, we fit Poisson regression (PR), negative binomial regression (NBR), and zero-inflated negative binomial regression (ZINBR) models via maximum likelihood estimation (MLE), controlling for document-length effects. Model selection by Akaike information criterion (AIC) consistently favored NBR for both target keywords, indicating substantial overdispersion in XR patent counts. We interpret exponentiated coefficients as incidence rate ratios (IRRs) and construct a technology relatedness network from significant IRR edges, revealing a dual-axis XR structure: reality is anchored in an AR or VR experience and content axis such as virtual and augment, whereas extend is embedded in a structure and integration axis for example, surface, edge, layer, and connectivity-related terms. To show how the proposed method can be applied to real domains, we searched the XR patent documents, and analyzed them for XR technology analysis. Full article

Extended Reality (XR) and Artificial Intelligence (AI) are increasingly converging within cyber–physical infrastructures, including digital twins, the Spatial Web, and smart-city systems. These environments require new frameworks for understanding how human performance emerges through sustained interaction with immersive interfaces and adaptive computational agents. This paper introduces the TAXI–XI-CAP framework, a two-layer model that links psychobiological mechanisms of XR–AI interaction to higher-level, experimentally testable capability constructs. The TAXI layer defines 42 mechanisms spanning perception, cognition, physiology, sensorimotor control, and social coordination, while XI-CAP organizes these into capability patterns such as remote dexterity, distributed cognition, and adaptive workload regulation. Derived through a theory-guided synthesis across XR, neuroscience, and human–automation interaction, the framework models performance as emerging from interacting mechanisms under real-world constraints. A validation-oriented research agenda is proposed, emphasizing mechanism-level measurement, capability-level evaluation, and longitudinal testing. The TAXI–XI-CAP framework provides a structured basis for hypothesis generation, comparative analysis, and empirical validation of XR–AI systems, supporting the development of reliable, scalable, and human-centered Extended Intelligence infrastructures. Full article

Competence-oriented Education for Sustainable Development requires evidence that immersive and gamified learning experiences elicit sustainability-relevant change beyond short pre–post windows. This study examines the Art Nouveau Path, a location-based mobile augmented reality heritage game implemented in Aveiro, Portugal, using a four-wave repeated cross-sectional design with anonymous student samples: baseline (S1-PRE, N = 221), immediate post-activity (S2-POST, N = 439, validated n = 438), follow-up (S3-FU, N = 434), and distant follow-up (S4-DFU, N = 69, validated n = 67). Analyses were anchored in a shared 25-item GreenComp-based questionnaire (GCQuest) block targeting Embodying Sustainability Values (ESVs; scale of 1 to 6) and combined distribution-aware descriptives, nonparametric omnibus, and pairwise tests with Holm correction, and planned robustness checks including equal-n downsampling and alternative scoring. Results displayed a pronounced post-activity peak (S2-POST), partial attenuation at follow-up (S3-FU), and convergence toward baseline at distant follow-up (S4-DFU), accompanied by loss of the high-agreement tail. Item-level contrasts suggested that later-wave declines concentrated in effortful self-regulation and critical appraisal items, whereas value endorsement items were more stable. These findings indicate that field-deployable mobile AR heritage paths may generate strong proximal competence-aligned signals; nevertheless, durable enactment-oriented change is likely to require structured reinforcement and integration into broader curricular sequences. Full article

The design of volume holographic gratings (VHGs) is traditionally based on monochromatic plane waves. However, practical applications often involve light sources with broad wavelength bandwidths and certain emission areas, such as LEDs and MiniLEDs, which cause significant Bragg mismatch and degrade diffraction efficiency. To address this fundamental challenge, this paper proposes a novel, to the best of our knowledge, genetic algorithm (GA)-based optimization method for VHG design. A ray-tracing analysis model that fully incorporates the spectral and spatial characteristics of extended broadband sources is established. The GA optimizes the grating fabrication angles by minimizing a fitness function defined as the residual energy after diffraction, thereby achieving optimal performance under non-ideal illumination conditions. The effectiveness of the proposed method is demonstrated through a case study: suppressing the high-intensity central beam in an ultra-thin MiniLED backlight module (BLM). Simulation and experimental results show that the GA-optimized VHG significantly reduces the peak irradiance from 5.01 W/cm² to 4.14 W/cm² at an optical distance (OD) of 0.5 mm. This work provides a robust and source-adaptive design methodology for VHGs, with potential applications extending beyond backlighting to areas such as augmented reality, holographic displays, and optical communications. Full article

Background: Μetabolic syndrome (MetS)—comprises central adiposity, elevated blood pressure, dyslipidaemia, and dysglycaemia, increasing the risk of type 2 diabetes and cardiovascular disease. Exercise training improves cardiorespiratory fitness and several MetS components, but real-world effectiveness is limited by poor adherence, restricted supervision, and insufficient personalisation. Objective: This scoping review mapped the clinical intervention evidence on technology-enhanced exercise and structured physical activity relevant to MetS, while distinguishing direct MetS evidence from translational evidence. Methods: In accordance with PRISMA-ScR, we searched PubMed and extended the search to Scopus and Web of Science; a supplementary IEEE Xplore search and a post hoc Embase check were also conducted. Eligible studies were interventions using web-based delivery, wearables, telemonitoring/mobile health (mHealth), artificial intelligence (AI) coaching, virtual reality (VR)/exergaming, or continuous glucose monitoring (CGM) alongside exercise training or structured physical activity. Results: Nineteen studies met the eligibility criteria. The evidence base was weighted toward wearable/app-based feedback and telemonitoring/mHealth/web-based approaches, with fewer studies on VR/exergaming, CGM-enabled exercise, and AI coaching. Most studies were randomised or cluster-randomised, but interventions were usually short term. Across categories, technology most consistently supported adherence, self-monitoring, accountability, remote supervision, and, in selected cases, physiology-informed personalisation. Direct MetS evidence was strongest for wearables with structured feedback, telemonitoring, mHealth, and web-based delivery, whereas AI coaching and CGM were supported by adjacent translational evidence. Conclusions: Technology-enhanced exercise and structured physical activity show promising but heterogeneous and still preliminary potential for MetS management. Key limitations include short follow-up, uneven representation across categories, inconsistent reporting of exercise dose/intensity fidelity and adverse events, and limited equity and implementation outcomes. Full article

The concept of “human-centric, sustainable and resilient smart cities” in Industry 5.0 (I5.0) refers to urban socio-technical ecosystems in which digital infrastructures and services are explicitly oriented toward human well-being, ecological stewardship, and systemic resilience rather than purely technological optimization or automation. Grounded in the I5.0 framework, which promotes human-centricity, sustainability, and resilience as equally important pillars, this paradigm repositions smart cities as value-driven environments that integrate enabling technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), Extended Reality (XR), and related digital infrastructures within participatory, transparent, ethical, and accountable governance structures. From this perspective, technologies function as means through which cities develop higher-order capabilities for sensing, decision support, coordination, interaction, and adaptive service delivery. At the same time, they address digital divides and include measures that promote and protect inclusion, trust, and long-term socio-environmental viability. This entry synthesizes the conceptual foundations, technological enablers, capability-oriented architecture, governance implications, and emerging challenges that influence the transformation of smart cities into human-centric, sustainable, and resilient innovation systems in the I5.0 era. Full article

Background/Objectives: Spinal cord injury (SCI) leads to long-term changes in mobility, bodily function, and everyday participation, extending beyond physical impairment to affect autonomy, identity, and social inclusion. In Greece, limited community-based rehabilitation services, environmental inaccessibility, and fragmented follow-up care further shape the lived experience of individuals with SCI. This study aimed to explore the lived experiences and perceived rehabilitation needs of people with paraplegia living in the community, adopting a phenomenological approach to understand rehabilitation as an ongoing process of reclaiming autonomy, dignity, and participation. Methods: A qualitative phenomenological design was employed. In-depth semi-structured interviews were conducted with fourteen individuals with paraplegia following SCI. Data were analyzed using Braun and Clarke’s reflexive thematic analysis, supported by ATLAS.ti software. Results: Participants described living with SCI as a ‘Socially lived disability: a daily confrontation with an inadequate system and the ongoing struggle for accessibility, autonomy, and dignity’ (Overarching Theme). Participants’ experiences were organized into six themes: (A) facing the new reality, (B) barriers and facilitators of independent living, (C) role and importance of rehabilitation, (D) me and others around me, my difference, (E) the need for adequately trained and informed health professionals and caregivers, (F) ageing as an additional challenge. Conclusions: Living with SCI is experienced as an ongoing process of embodied and social reorientation, in which autonomy, participation, and dignity are continuously negotiated rather than restored once and for all. Rehabilitation emerges as a lifelong, person-centered process that extends beyond functional recovery to support bodily confidence, accessibility, social inclusion, and quality of life across the life course. These findings highlight the need for coordinated, community-based rehabilitation systems, accessible environments, and adequately trained health professionals capable of addressing the evolving functional, social, and existential realities of individuals living with SCI. Full article