Search Results (312)

Ions in liquid helium exist in their simplest form in two configurations, as negatively charged “electron bubbles” (electrons in a void of about 35 Å in diameter) and as positive “snowballs” (He⁺ ions surrounded by a sphere of solid helium, about 14 Å in diameter). Here, we give an overview of studies with these ions when they are trapped at interfaces between different helium phases, i.e., the “free” surface between liquid and vapor, but also the interfaces between liquid and solid helium at high pressure and between phase-separated ³He-⁴He mixtures below the tricritical point. Three cases are discussed: (i) if the energy barrier provided by the interface is of the order of the thermal energy k_BT, the ions can pass from one phase to the other with characteristic trapping times at the interface, which are in qualitative agreement with the existing theories; (ii) if the energy barrier is sufficiently high, the ions are trapped at the interface for extended periods of time, forming 2D Coulomb systems with intriguing properties; and (iii) at high electric fields and high ion densities, an electrohydrodynamic instability takes place, which is a model for critical phenomena. Full article

The Erasmus+ YOU4BLUE project represents an interdisciplinary educational initiative aimed at fostering a youth culture of sustainability through hands-on learning, scientific literacy, and critical thinking focused on the marine environment. The project aimed to encourage lasting behavioural change and empower young people to act. It engaged secondary school students aged 14 to 18 on three Mediterranean islands (Sardinia, Crete, and Mallorca) through a blended Place-Based Education (PBE) model that integrates online learning with local, experiential activities. Forty-nine students completed a pre-assessment questionnaire measuring baseline marine ecosystem knowledge, sustainability-related behaviours, and attitudes toward the sea. Following three international exchanges involving the learning activities, roughly the same cohort of students completed post-activity surveys assessing self-perceived knowledge gains and intercultural interaction. Qualitative data from emotional mapping, field observations, and group reflections complemented the quantitative analysis. The results indicate substantial self-perceived increases in students’ understanding of marine ecosystems (+1.0 to +1.7 points on a 5-point scale), enhanced collaboration with international peers, and strengthened environmental awareness. Across all three sites, students applied their learning by co-designing proposals addressing local coastal challenges, demonstrating emerging civic responsibility and the ability to integrate scientific observations into real-world problem solving. These findings suggest that combining place-based education, citizen science, and participatory methods can effectively support the development of sustainability competences among youth in coastal contexts. This study contributes empirical evidence to the growing literature on education for sustainable development and highlights the value of blended, experiential, and intercultural approaches in promoting environmentally responsible behaviour. Full article

Quality tools have a well-established place in business management. They help diagnose, analyze, and solve quality problems. In manufacturing companies, they are also used in process and product improvement projects. However, only the proper selection of quality tools can bring tangible benefits to an organization. Given their diverse content and methodologies, supporting the selection of these tools becomes a crucial issue. A literature review indicates only a few solutions in this area, implemented as decision support systems. Additionally, the challenges of Quality 4.0 and the demands of modern business reveal a research gap in automating the process of selecting quality tools. This is particularly true for less experienced company employees participating in improvement programs. Our previous research shows how machine learning using neural network models supports the development of an expert system in this area. The aim of this paper is to present the results of research conducted in which classifiers in the form of decision trees were developed. At the same time, attempts were made to demonstrate that decision tree classifiers (on an extended Excellence Toolbox dataset) can automatically recommend qualitative tools with an accuracy better than neural networks, while offering interpretable rules. The decision-tree models achieve strong classification performance, with the best tree reporting 96.75% effectiveness. In contrast, the neural network from previous studies achieved 94.87%. Full article

Understanding how green spaces foster sense of place is critical for sustainable urban planning and human well-being, yet no comprehensive synthesis has integrated findings across the fragmented literature spanning multiple disciplines. This systematic review analyzed 497 empirical studies examining green space-place attachment relationships, following PRISMA guidelines across three major databases through June 2025. Beyond documenting the field’s rapid growth—from 10 annual publications pre-2010 to over 50 by 2021—this review reveals critical patterns and gaps with implications for theory and practice. While the term ‘place attachment’ was most frequently used (45% of studies), the field employs diverse terminology often without clear definitional boundaries. Only 18% comprehensively addressed the Person-Process-Place tripartite model, with process dimensions particularly neglected. This theoretical incompleteness limits the understanding of how attachments form and evolve. Geographic analysis exposed severe disparities: 78% of studies originated from high-income countries, with Africa (2.4%) and South America (3.6%) critically underrepresented, raising questions about the applicability of current theories beyond Western contexts. Urban settings dominated (49.5%), potentially overlooking rural and indigenous perspectives essential for comprehensive understanding. Methodologically, studies demonstrated sophistication through strategic deployment of quantitative (60%), qualitative (15%), and mixed methods (25%). Key thematic areas, residence duration, restorative benefits, and pro-environmental behaviors, showed promise, yet environmental justice remained underexplored despite its critical importance. This synthesis advances the field by identifying specific pathways for progress: expanding geographic representation to develop culturally inclusive theories, employing longitudinal designs to capture attachment formation processes, developing validated cross-cultural measures, and centering environmental justice in green space planning. These findings provide essential guidance for creating equitable green spaces that foster meaningful human-nature connections across diverse global contexts. Full article

Real-world decision-making often involves uncertainty, incomplete data, and the need to evaluate alternatives based on both quantitative and qualitative criteria. To address these challenges, this study presents FAS-XAI, a unified methodological framework that integrates fuzzy clustering and explainable artificial intelligence (XAI). FAS-XAI supports interpretable, data-driven decision-making by combining three key components: fuzzy clustering to uncover latent behavioral profiles under ambiguity, supervised prediction models to estimate decision outcomes, and expert-guided interpretation to contextualize results and enhance transparency. The framework ensures both global and local interpretability through SHAP, LIME, and ELI5, placing human reasoning and transparency at the center of intelligent decision systems. To demonstrate its applicability, FAS-XAI is applied to a real-world B2B customer service dataset from a global ERP software distributor. Customer engagement is modeled using the RFID approach (Recency, Frequency, Importance, Duration), with Fuzzy C-Means employed to identify overlapping customer profiles and XGBoost models predicting attrition risk with explainable outputs. This case study illustrates the coherence, interpretability, and operational value of the FAS-XAI methodology in managing customer relationships and supporting strategic decision-making. Finally, the study reflects additional applications across education, physics, and industry, positioning FAS-XAI as a general-purpose, human-centered framework for transparent, explainable, and adaptive decision-making across domains. Full article

Background/Objectives: This study examined how maker-based physical education (PE) lessons, co-designed within a Professional Learning Community (PLC), expanded student participation and supported teacher professional growth. Focus was placed on engaging sport-marginalized students, often excluded due to ability, motivation, or social background. Methods: This qualitative single-case study examined a PE-focused professional learning community (PLC) that collaboratively designed maker-based PE lesson prototypes and partially implemented them in regular PE classes. Data included PLC documents, lesson plans, classroom observations, student work, and semi-structured teacher interviews, and were analyzed using inductive category analysis. Results: Three lesson types emerged: (1) physical data measurement and analysis, (2) performance feedback, and (3) play- and game-based formats. These diversified participation by promoting student roles beyond performers, such as creators and analysts. Sport-marginalized students took on new roles as creators and analysts and, at the same time, showed increased engagement in physical activities and more active participation in lessons as performers. Teachers shifted from skill-focused instruction to reflective, practice-based teaching. The PLC enabled sustained innovation and collective growth. Conclusions: Maker-based PE offers a low-cost, adaptable model for inclusive curriculum reform that promotes creativity, wellbeing, and participation. Future studies should explore its long-term impact, broader implementation, and strategies to support ongoing PLC-based innovation. Full article

Music performance anxiety (MPA) can be examined within the framework of music performance ecosystems, wherein performers’ musical self-concept is shaped through complex social and cultural interactions. This research aims to identify ecosystemic interactions contributing to the emergence of MPA, and to promote a shift in its understanding, from a focus on individual symptomatology to the recognition of collective influences. A qualitative analysis was conducted using biographical-narrative interviews with 11 established musical performers (six female, five male), aged 23 to 62, representing a range of instruments, including violin, viola, cello, flute, piano, harp, and voice. Their experience encompasses solo, chamber, and orchestral performance, as well as pedagogical work, all rooted in the traditional educational framework of Western classical music. The analysis, based on the grounded theory methodology, highlights four key dimensions: the demanding stage; the development of psychological resilience in performers; the musical self-concept as a reflection of the performer’s experience; and performance as a process of transformation. The findings suggest that an ecosystemic perspective may support preventive interventions for MPA, particularly by reframing the traditional virtuoso performance model. Often internalized early in music education, this prestigious ideal continues to shape professional careers, placing heavy self-reflective demands on performers. To support healthier artistic development, music performance ecosystems can bridge the gap between skill acquisition and performer attunement. This is not merely a divide between learning and performing, but a structural loop in which training-oriented processes—such as analysis, self-criticism, and control—may hinder stage performance if not transformed into holistic, embodied execution. Full article

Background/Objectives: The digitization of care opens up new opportunities to support family caregivers, who play a key role in home care. While telemedicine applications have already shown initial relief effects, AI-supported chatbots are increasingly coming into focus as an innovative form of digital support. The aim of this study was to build on an earlier study on the integration of telemedicine into home care and to conduct a complementary study on AI-based chatbots to analyze their acceptance, perceived benefits, and potential barriers from the perspective of family caregivers. Methods: The study comprises two consecutive online surveys with a total of n = 62 family caregivers. The first study assessed the use and acceptance of telemedicine systems; the second complementary survey examined attitudes toward AI-supported chatbots. Both questionnaires were developed based on a systematic literature review and in accordance with the Technology Acceptance Model (TAM). The dimensions of user-friendliness, data protection, communication support, emotional relief, and training needs were among those recorded. The data were evaluated using descriptive statistics, including comparative analyses between the two studies. Results: The results show that family caregivers generally have a positive attitude toward digital health solutions, but at the same time identify specific barriers. While technical barriers and privacy concerns dominated the telemedicine study, the AI results place greater emphasis on psychosocial factors. It also became clear that participants assumed that chatbots would be more acceptable if they were designed to be empathetic and dialogue-oriented. A comparison of the two data sets shows that the perceived benefits of digital systems are shifting from functional support to interactive, emotional support. Conclusions: The results suggest that AI-powered chatbots could offer significant added value to family caregivers by combining information sharing, emotional support, and self-reflection. In doing so, they expand the focus of traditional telemedicine to include a communicative and psychosocial dimension. Future research should examine the actual user experience and effectiveness of such systems in longitudinal and qualitative designs. Despite limitations in terms of sample representativeness and hypothetical usage estimates, the study makes an important contribution to the further development of digital care concepts and the ethically responsible integration of AI into home care. Full article

This study examines how digital nomads act as unintentional brand ambassadors shaping destination image via lifestyle content. Although nomads influence place perceptions through blogs, vlogs, and social media, tourism institutions rarely acknowledge their role. We theorize this diffuse effect as ambient influence—the cumulative, non-promotional impact of lifestyle posts—and test whether nomads operate as unintentional brand intermediaries affecting destination image and travel intention. A multi-method design includes a survey of 487 international travelers modeling links among exposure, perceived authenticity, destination image, and travel intention; an experiment with 210 participants comparing nomad versus influencer videos; and interviews with 14 DMO professionals examining institutional responses. Results indicate that nomad content improves destination image and travel intention via perceived authenticity and relational trust. Relative to influencers, nomads are viewed as more credible and less commercially motivated. However, qualitative evidence shows that DMOs often overlook this influence due to ambiguity, control-oriented branding, and reliance on performance metrics ill-suited to informal media. The study formalizes ambient influence to capture the cumulative, non-promotional impact of nomad content and identifies a strategic blind spot in institutional engagement. It contributes by reconceptualizing influence beyond formal marketing and offers guidance for tourism management, including broader recognition frameworks and updated evaluation of user-generated content. Full article

Humans typically describe spatial location using names, hierarchies, and relative positions (e.g., east of, inside), yet mainstream GIS represents places primarily through geometric coordinates, rendering qualitative spatial queries computationally challenging. We introduce the Qualitative Place Model (QPM), a GIS-native framework that transforms standard boundary datasets and place layers into structured knowledge bases of Qualitative Place Description (QPD). QPM provides a homogeneous representation whereby administrative units and physical places are treated uniformly as Place entities. The model materializes a compact set of local relations, hierarchical containment, directional neighbourhood, and optional proximity, that support rich inferences through sound logical operations (inverse relationships and per-predicate transitive closure). We implement QPM as an ArcGIS Pro toolbox that computes and persists QPDs within a geodatabase, with optional RDF export for SPARQL querying. This implementation enables natural-language-style spatial queries such as “Where is x?” or “Which places are north of x?” within standard GIS workflows. Evaluation on Wales (UK) administrative, postal, and electoral hierarchies plus a comprehensive place layer demonstrates robust performance: QPM generated 95.8% of expected basic-place statements (52,821 places) and achieved 89.7–96.5% coverage across administrative hierarchies. All QPDs proved unique under our deterministic signature. Despite compact storage requirements, directional relations expand by more than an order of magnitude (10.6× overall expansion) under logical closure, demonstrating substantial inferential power from a minimal stored representation. QPM complements geometric GIS with an explainable qualitative layer that aligns with human spatial cognition while remaining fully operational within standard GIS environments. Full article

Culinary culture shock (CCS)—the discomfort and ambivalence travelers feel when encountering unfamiliar foods—remains underexplored from a short-horizon, trip-bounded perspective. While prior work notes both attractions and impediments of food in tourism, a process-oriented account of how ordinary travelers experience and navigate CCS during brief trips is still limited. This study examines CCS in Guangzhou, China and delineates how it shapes travelers’ evaluations of place. We adopt a qualitative design, combining 30 semi-structured interviews with in situ ethnographic observations across markets, street-food settings, restaurants, and guided food tours, supplemented by document analysis (e.g., visitor materials and menus). Using reflexive thematic analysis, we identify three recurrent coping trajectories—avoidance, gradual adaptation, and immersion—that unfold nonlinearly as travelers recalibrate expectations, manage sensory dissonance, and renegotiate comfort boundaries. We integrate expectancy–disconfirmation theory (EDT) with an embodied view of tasting to develop the Palate Adaptation Spiral Model (PASM), which explains CCS as recursive cycles of appraisal, strategy enactment, and re-appraisal within the span of a trip. Social influence (peers, guides, and service staff) operates as a cross-cutting mechanism that can accelerate adaptation or entrench avoidance depending on cue valence and credibility. The study clarifies the scope of CCS as general travel encounters (not restricted to culinary-motivated tourists) and specifies contextual conditions under which negative reactions are reversible. Theoretically, we connect EDT to short-term culinary adaptation through PASM; practically, we outline design levers—pre-trip expectation management, pictorial/transparent menus, and guide-mediated tasting sequences—to reduce anxiety and support constructive exploration. Full article

This study aims to analyze how the built environment influences urban residents’ physical activity in tropical coastal regions, and to identify the relative weights of key environmental factors. Through semi-structured interviews with 31 residents in Hainan, China, and qualitative analysis using NVivo 14, five core categories influencing physical activity were identified. A conceptual model with the built environment as its central node was then developed to elucidate the interrelationships among these categories. To further weight the sub-categories, a follow-up Analytic Hierarchy Process survey was conducted with 12 experts. Integrating the two stages, it was found that the safety and site conditions are prerequisite conditions to ensure residents’ physical activity. On this basis, residents have the strongest perception of the incentive effect of site conditions and landscape. The findings provide a theoretical basis and practical reference for systematically evaluating the impact of the built environment on residents’ health and well-being, and offer guidance for planning and designing health-promoting places in tropical regions. Full article

Lifestyle entrepreneurship has become a crucial phenomenon in tourism, especially in low-density rural territories where traditional business models struggle to sustain economic and social vitality. Understanding how lifestyle entrepreneurs combine personal values, community attachment, and territorial identity is essential to uncover how entrepreneurship can promote sustainable development and resilience in these fragile regions. This study investigates how lifestyle-based entrepreneurs in rural Portugal embed themselves in local contexts and contribute to community revitalisation through tourism. A qualitative multiple case study was conducted with three ventures located in the Planalto Mirandês region, using semi-structured interviews, document analysis, and field observations. Thematic analysis was applied to identify key patterns of motivation, community involvement, innovation, and challenges. The results show that lifestyle entrepreneurs are primarily driven by intrinsic motivations related to self-fulfilment and attachment to place rather than profit. Their engagement with the community varies from transactional collaborations to transformational partnerships, generating social, cultural, and environmental values. This study advances the literature by proposing a conceptual model that integrates individual, relational, and territorial dimensions of embedded entrepreneurship, revealing how authenticity and social purpose shape innovation in rural tourism. Practically, the findings provide guidance for policy makers, local authorities, and development agencies seeking to design support mechanisms that enhance the contribution of lifestyle entrepreneurs to sustainable rural regeneration. Full article

Trabecular Metal^TM (TM) dental implants comprise a tantalum (Ta)-based biomimetic open-cell structure designed to replicate the structural, functional, and physiological properties of cancellous bone. Yet, the current literature primarily focuses on the evaluation of osseointegration outcomes surrounding TM implants in uncompromised bone environments and/or brief periods of observation in pre-clinical models. In addition, the performance of TM implants in bony defect environments reconstructed with allogenic grafts and bioactive molecules, such as platelet-rich fibrin (PRF), has not been thoroughly investigated. This longitudinal, randomized clinical trial comprised patients presenting with completely edentulous maxillaries. Guided Bone Regeneration (GBR) was performed using a cortico-cancellous allograft/PRF agglomerate. After 26 weeks, bone biopsies were obtained, followed by the insertion of a TM implant, after which patients were allowed to heal for 52 weeks for assessment of osseointegration. Qualitatively, histomicrographs at 26 weeks confirmed the presence of newly formed bone extending from the periphery of defects and along the direct surface of the allograft. TM implant biopsies at 52 weeks demonstrated osseointegration with bone ongrowth and ingrowth at the interconnected, porous trabecular region. These histological characteristics were consistent across all patients. No metal debris was detected, and the TM implants maintained their porous structure throughout the study period. TM implants placed in PRF-augmented allograft-reconstructed maxillae fostered a conducive environment for osseointegration. By leveraging the open-cell Ta structure, robust new bone formation was achieved without signs of adverse tissue reactions. Full article

Research efforts to explain urban vitality encompass accessibility studies, place-based qualitative studies, morphological analysis, and land use studies. While several of these isolated approaches have yielded promising results, integrating these explanatory frameworks into a single model remains underexplored—and this constitutes the core goal of the present research. For the empirical study on the vitality of a commercial district, 13 explanatory factors were identified, with measured pedestrian flow (as a proxy for street vitality) serving as the dependent variable, examined in the Chunxi Road area of central Chengdu. To account for temporal variations in street vitality, pedestrian flow was measured across different times of the day and days of the week. Bivariate analysis and principal components analysis were employed to develop a multivariate regression model, which was further refined into a predictive algorithm tool to quantify the relative contributions of the explanatory factors. The results indicate that accessibility and street image factors each independently explain a large proportion of the variance in pedestrian flow, while public transport topological distance exerts a negative effect. Notably, the combined model exhibits significantly stronger explanatory power than the individual contributions of various factors reported in existing literature. Beyond advancing theoretical understanding of urban vitality, the primary purpose of this study is to utilize street vitality (operationalized via pedestrian flow) as an optimization indicator for commercial street planning and design schemes. The developed predictive algorithm model serves as a practical tool for designers, providing actionable references during the design formulation process, enabling them to assess potential street vitality based on preliminary design parameters and make evidence-based adjustments to enhance the effectiveness of commercial street designs. Additionally, the study findings offer insights for the management of urban commercial areas to further promote urban vitality. Full article