Search Results (1,029)

Despite the growing attention paid to sustainability education, limited quasi-experimental research has examined how metacognitive guidance can integrate cognitive, affective, and agency-oriented learning in food-related climate education. This classroom-based quasi-experimental study, complemented by student interviews, investigated a six-lesson metacognitive guidance-based unit designed to strengthen ninth-grade students’ sustainable food literacy (SFL), climate-change perceptions and attitudes, and constructive hope. Participants were 59 students from two intact classes in northern Israel; one class received the intervention, and the other received traditional instruction on the same content. Quantitative data were collected through a sustainable food and climate change knowledge test and a climate change literacy questionnaire and were analyzed using mixed-design repeated-measures ANOVA, t-tests, and multiple regression. Qualitative data were obtained from individual semi-structured interviews with students in the experimental group. Results indicated significant intervention-related gains in SFL knowledge, climate-change perceptions, climate-change attitudes, and constructive hope, with moderate-to-large time × group effects across the main outcomes (partial η² = 0.16–0.33). Climate-change perceptions emerged as the strongest post-intervention predictor of constructive hope (β = 0.92, p < 0.001). Interviews illustrated how reflective prompts, self-monitoring, discussion, and learning artifacts supported conceptual understanding, moral responsibility, perceived agency, and self-reported short-term intentions for sustainable food choices. The findings suggest that metacognitive guidance can support integrative, hope-oriented sustainability learning among adolescents. These findings should be interpreted cautiously given the small non-random sample, the use of two intact classes, the short six-lesson intervention, and the reliance on short-term self-reported outcomes. The study’s novelty lies in integrating sustainable food literacy, climate-change perceptions and attitudes, and constructive hope within a metacognitively guided food–climate unit in a culturally underrepresented Druze school context. Full article

Oat-based beverages are increasingly popular milk alternatives. However, the heat treatment required to ensure shelf stability is limited by rapid fouling formation on heated surfaces, reducing processing efficiency. Oat proteins, considered an important quality attribute of oat drinks, are suspected to play a key role in fouling initiation, but their specific contribution remains poorly understood. This study investigates the role of oat proteins in fouling formation during heat treatment on technical scale. Membrane filtration was applied and validated as sample preparation method for increasing the protein content. Fouling experiments were conducted using a previously validated fouling system with feed solutions containing different protein concentrations. Protein content was increased by filtration using 0.1, 0.8 and 1.4 µm ceramic membranes, yielding retentates with 10–21 g·100 g⁻¹ on a dry matter basis, and further enriched to >40 g·100 g⁻¹ through diafiltration. Fouling experiments (140 °C, 60 min) revealed a dependence of fouling formation on protein content in the feed solution. Fouling deposits were negligible at low protein concentrations (<2.5 g·100 g⁻¹), increased markedly between 8 and 14 g·100 g⁻¹, and reached a plateau at higher protein levels. Using oat supernatant or retentates, the protein content in the fouling correlated linearly with the protein content in the feed solution (R² = 0.98) but did not exceed ~25 g·100 g⁻¹, resulting in predominantly carbohydrate-based deposits. In contrast, diafiltered protein-enriched feed solutions produced larger, protein-dominated deposits. A conceptual model describing feed-dependent fouling mechanisms is proposed. Full article

This study examines disciplinary differences in approaches to sustainability education among faculty in engineering, nursing, and environmental and sustainability studies at a large Rocky Mountain university. Researchers investigate how these disciplines conceptualize and implement sustainability education, as well as faculty perspectives on curricular content as they relate to the United Nations Sustainable Development Goals (SDGs). The study further examines barriers to sustainability education in relation to the broader state and national political climate. This research addresses a notable need in the literature by strengthening sustainability education content across disciplines, particularly where important aspects receive less emphasis. The manuscript concludes with recommendations for professionals seeking to integrate and advocate for sustainability across the curriculum. Full article

This paper presents GenPluSSS, a plugin that adds the visualization of homogeneous and heterogeneous, optically thick, translucent materials on the Blender 3D modeling tool. The working principle of this plugin is based on the GenSSS method, which combines Genetic Algorithm (GA) and Singular Value Decomposition (SVD)-based subsurface scattering representation. The proposed plugin has been implemented using the Mitsuba renderer, an open-source rendering system, and has been validated on measured subsurface scattering datasets. Experimental results demonstrate that the proposed plugin visualizes homogeneous and heterogeneous subsurface scattering effects accurately with compact data representation while maintaining computational efficiency and achieving competitive rendering times compared to dipole-based and SVD-based approaches. In addition, conceptual and quantitative comparisons with recent neural subsurface scattering methods are presented in terms of rendering speed, peak memory usage, material support, and hardware dependency. The proposed framework brings measured subsurface scattering methods into practical rendering workflows within open-source content creation environments. Full article

This article examines the utilization of WhatsApp as an alternative communication tool for disseminating visual content among social activists during protests. While WhatsApp is typically conceptualized as an interpersonal or group messaging platform, research on its role as an infrastructure for alternative media and citizen journalism remains limited. The study focuses on the “Tikva” group, established at the onset of the public struggle against the 2023 judicial reform in Israel, which evolved into a nine-month mass protest movement described as one of the largest in the country’s history. Through qualitative thematic content analysis of videos distributed within the group, the article explores how WhatsApp functions simultaneously as a channel for digital activism and as a site of bottom-up, democratic, non-institutional news production. The findings indicate two primary trends: functionally, WhatsApp operates as a mechanism for resource mobilization, calls to action in physical and digital spaces, and the cultivation of belonging and solidarity among activists facing institutional power; in terms of content and production, the videos articulate an anti-hegemonic discourse and challenge mainstream media conventions. The analysis shows how these videos dismantle delegitimizing frames and construct a counter-narrative depicting protesters as citizens defending democracy, thereby sustaining the protest movement’s momentum. Full article

Background/Objectives: The trainer–doctor model (TDM) is a participatory paradigm in which the physician acts as a mentor and educator. Effective health communication and patient engagement are key determinants of treatment adherence and health outcomes. Based on this conceptual framework, the present study aimed to assess preferences for the Trainer–Doctor Model among dental practitioners and patients, examine the influence of demographic variables, and provide a preliminary psychometric evaluation of the TDM questionnaire in accordance with the COSMIN (COnsensus-based Standards for the selection of health Measurement Instruments) criteria. Methods: A cross-sectional survey was conducted in Romania between May 2023 and April 2024. The study included dental practitioners recruited during scientific dental conferences and patients recruited from a private dental practice in Alba Iulia, Romania. Eligible participants were adults aged 18 years or older who provided written informed consent and completed the data protection requirements. Individuals younger than 18 years of age or those who did not provide complete informed consent were excluded. Participants completed a 12-item Likert-type questionnaire assessing preferences toward the Trainer–Doctor Model. Results: Both groups showed high TDM preference (practitioners: 43.93 ± 5.56; patients: 44.77 ± 4.84; p = 0.195); 71–76% of responses were high-preference (≥4). Cronbach’s α with reverse-scored items was 0.752/0.651. EFA (KMO = 0.740; Bartlett’s p < 0.001) identified a 3-factor structure, explaining 51.3% of the variance. Patients scored significantly higher on items A (p = 0.002), B (p = 0.022), and F (p = 0.005). Conclusions: Both groups demonstrate a strong, consistent preference for TDM across demographics. The preliminary psychometric evaluation indicates acceptable internal consistency and structural validity; however, further validation, including Delphi-based content validation and confirmatory factor analysis, is required. Full article

The term “entropy” denotes several mathematically distinct quantities across modern physics, including thermodynamic, statistical, quantum-informational, and geometric notions that are often conflated in foundational discussions. We propose an operational distinction among three such quantities: a geometric capacity entropy $S_{\mathrm{capacity}}$ proportional to a region’s bounding area, a microscopic content entropy $S_{\mathrm{content}}$ given by the fine-grained von Neumann entropy of the reduced state, and a thermodynamic entropy $S_{\mathrm{thermo}}$ corresponding to the observer-relative ignorance that remains after accessible information is accounted for. We argue that keeping these quantities distinct is not merely terminological: within this framework, the second law of thermodynamics can be formulated as a typical consequence of unitary dynamics combined with bounded observational access, rather than as an independent postulate. The distinction also clarifies which entropy enters established results such as the Bekenstein–Hawking entropy of black holes and the Clausius relation in Jacobson’s thermodynamic derivation of Einstein’s equations. The proposed framework is conceptual and does not modify established physical theories; it is intended as a useful clarification for informational approaches to physics. Full article

Lavender (Lavandula angustifolia Mill.) is a globally significant crop, with Bulgaria maintaining a leading position in essential oil production. This study presents the first comprehensive, multi-regional analysis of commercial lavender plantations in Bulgaria, integrating phenotypic, biochemical, and genetic data. A new field quality index (FQI) was developed to evaluate production efficiency by intergating yield, essential oil quality, and intra-field homogeneity. Genetic profiling of 285 individual plants via Start-Codon-Targeted (SCoT) markers revealed significant genetic diversity and a population structure derived from two primary clusters (Delta K = 2), with high intra-field heterogeneity (64%). Our results demonstrate that peak FQI values are achieved in fields with moderate genetic diversity (genetic homogeneity index HI = 0.6–0.7) and high polymorphic information content (PIC ≥ 0.35), whereas excessive clonal uniformity compromises both yield and phytochemical complexity. The production areas in Northeastern Bulgaria (Shumen, General Toshevo, Shabla) outperformed the traditional areas (Chirpan, Kazanlak), demonstrating higher yields of high-quality essential oil. Furthermore, macroclimatic variations across the studied areas showed significant correlations with the main terpenoid components. Association analysis suggested six SCoT loci as preliminary candidates for Marker-Assisted Selection (MAS), explaining up to 33.97% of the variation in key terpenoids within this study. Furthermore the FQI is proposed as a promising conceptual framework for genome-informed management providing a strategic basis for the sustainable production of high-value lavender oil in a changing climate. The SCoT markers hold potential as useful tools for yield and quality assessment, with the possibility of inclusion in future breeding programs aimed at improving lavender production. Full article

Rapid digital transformation has accelerated the frequency with which firms introduce product updates, platform enhancements, and feature innovations in e-commerce environments. While continuous innovation is typically associated with improved functionality and customer value, limited research has examined its potential psychological costs for consumers. This study introduces the concept of consumer innovation fatigue (CIF), defined as a psychological state of exhaustion arising from repeated exposure to ongoing innovation-related changes in digital products and online platforms. Following established scale development procedures, this research develops and validates a measurement scale for CIF. Item generation combined insights from prior literature with qualitative evidence from consumer interviews, followed by expert evaluation to ensure content validity. Using survey data from two independent samples of digital consumers in Saudi Arabia, exploratory factor analysis (n = 225) identified a unidimensional six-item scale. The scale was subsequently validated using partial least squares structural equation modeling (n = 361), confirming its reliability, convergent validity, and discriminant validity. The findings further demonstrate nomological validity by showing that exposure to continuous digital innovation significantly increases CIF, which in turn leads to innovation avoidance in online consumption contexts. By conceptualizing and empirically validating CIF, this study contributes to electronic commerce research by highlighting a previously underexplored psychological consequence of rapid innovation cycles in digital environments. The validated scale provides a useful instrument for future research examining consumer responses to ongoing technological change in e-commerce ecosystems. Full article

Religious psychopathology as a field lies at the intersection of psychiatry, theology, and culture. It addresses scientific discoveries and questions relating to the manifestation of mental health disorders that are expressed through religious content, ideation, and/or behavior. Religious psychopathology, being a multifaceted phenomenon, challenges clinicians, researchers, and religious leaders because it is non-trivial to distinguish between culturally normative religious experiences and pathological symptoms. The present integrative narrative review examines historical perspectives, diagnostic challenges, clinical manifestations, cultural considerations, therapeutic interventions, neurobiological models, ethical issues, and future directions in the field of religious psychopathology. It focuses primarily on literature from 2013 to 2025, while also incorporating selected foundational historical, theoretical, and clinical sources necessary for conceptual clarification. A special emphasis is placed on culturally informed and interdisciplinary approaches. Particular focus is given to approaches that respect spiritual frameworks while concurrently promoting evidence-based mental health care. Full article

This study critically explores theoretical concepts of fluidity in architectural design, addressing its positioning, challenges, and evolving role within digital-era developments in scientific research over the past three decades. The aim of this article is to critically review the fluidity research gap in architectural design, shifting the concept away from ambiguous and inconsistent formal metaphors toward recognizing its importance within the interdisciplinary context of digitization and networking. The research method employs a four-level content analysis based on a deductive approach. The development of an interdisciplinary conceptual framework of fluidity is examined, alongside its changing scope, meanings, and positioning within the field of architectural design research. The study employs the definition and systematization of key terms and spatial aspects to trace the transformation of fluidity. This is achieved through the analysis of a selected corpus of peer-reviewed scientific articles, structured along cultural and technological lines of thought. The results reveal (1) the manner in which fluidity is situated within the domain of architecture in relation to adjacent scientific fields, along technological and cultural lines, and (2) the manner in which corresponding spatial aspects and demands for new forms of knowledge in architectural design have emerged and transformed from predominantly formal and expressive interpretations and metaphors towards a more operational and methodological role. This paper contributes to architectural design research through the development of a structured conceptual and analytical framework that positions fluidity within architectural inquiry. The study addresses the opportunities and challenges of conceptualizing the continuous variability of the notion of fluidity and the spatial aspects it is based on in architectural design processes in response to cultural and technological transformations. Furthermore, the study extends fluidity beyond its role as a design language for articulating complex spatial formations and their experiential implications by establishing a conceptual bridge between digital notions of fluidity and constructural design thinking, thereby reframing fluidity as a performative condition that structures access, movement, and exchange within evolving socio-technical flow systems. Full article

The intensification of the global ecosocial crisis has exposed the structural incompatibility between continuous economic growth and the biophysical limits of the planet, prompting increasing interest in degrowth as a framework for ecological sustainability and social justice. Despite the growing development of degrowth theory within ecological economics and political ecology, its educational implications remain underexplored. This article examines the role of education in the transition toward post-growth societies through a critical review of the literature and a conceptual analysis informed by critical pedagogy, ecofeminism, environmental education, and degrowth scholarship. The study identifies how contemporary educational systems reproduce growth-oriented subjectivities through human capital theory, neoliberal governance, competitiveness, and productivist curricular frameworks. The analysis demonstrates that dominant models of sustainability education frequently remain embedded within the assumptions of green growth and fail to address the structural drivers of ecological degradation and social inequality. As a result, the article develops an integrated framework for a pedagogy of degrowth structured around ecosocial literacy, democratic participation, care ethics, cooperation, critical civic engagement, curriculum transformation, technological sovereignty, and commitment to the commons. The main contribution of the study lies in articulating a comprehensive educational model that connects pedagogical transformation with broader processes of post-growth social change, positioning education not merely as a tool for environmental awareness but as a strategic arena for cultivating the values, capacities, and collective agency required for ecosocial justice. The findings suggest that a transition toward sustainable and equitable societies requires a profound reorientation of educational aims, contents, institutions, and practices beyond the paradigm of economic growth. Full article

Urban industrial heritage is increasingly embedded in urban regeneration, public space provision, and community governance, yet existing studies have insufficiently examined how heterogeneous publics perceive its value through everyday digital discourse. Taking the Guangzhou Iron and Steel Plant industrial heritage site (hereafter, the Guanggang industrial heritage site) as a case study, this study used user-generated content from Rednote posts and local WeChat public-account comments to identify platform-mediated expressions of public value perception. A corpus of 745 valid samples comprising 51,459 Chinese characters was constructed after data collection, screening, and text preprocessing. Word-frequency analysis, semantic network analysis, and sentiment analysis were conducted using ROST CM 6.0. The results show that the two retrieved platform-contextual corpora foregrounded different concerns. Rednote discourse foregrounded ruin landscapes, industrial aesthetics, photography-based check-ins, and exploratory experiences, whereas WeChat comments emphasized park construction, public facilities, governance responsiveness, safety, and the residential environment. At the corpus level, lexicon-based sentiment classification indicated that Rednote texts were dominated by positive and neutral categories, while WeChat comments contained a higher proportion of texts classified as negative. This study conceptualizes dual foregrounding as a bounded selection process through which platform affordances, user self-selection, and users’ relationships with the site influence which concerns become visible in each corpus; it does not treat the observed differences as a causal platform effect. It argues that industrial heritage regeneration must translate historical, technological, and aesthetic values into public values that are interpretable, accessible, usable, and trusted by local communities. Full article

This study examines the associations between integrating sustainability principles into early-stage planning education and changes in students’ sustainability perceptions within a studio-based course. Conducted in the Urban Design Planning Studio 3 course between 2021 and 2024, the research involved 63 second-year urban and regional planning students. Using a mixed-methods, one-group pre-test–post-test design, the study combined quantitative data from the Sustainable Urban Environment Perception Scale (SUEPS)—covering ecological, transportation, and semi-structured dimensions—with qualitative analyses of open-ended responses via content analysis and thematic clustering. Findings reveal a statistically significant improvement in overall sustainability perception, with the most notable gains in ecological sustainability and solid waste management. Moderate improvements were also observed in social and economic dimensions, while transportation was comparatively more limited. Qualitative results indicate a clear shift from fragmented, resource-based understandings toward more integrated, system-oriented, and multi-scalar interpretations of sustainability. Students demonstrated increased conceptual diversity, stronger connections between ecological, infrastructural, and social themes, and more frequent use of planning-related terminology. The consistency between quantitative and qualitative findings suggests that structured studio-based learning processes may be contribute to the conceptual development of sustainability literature. Overall, the study highlights the potential of early-stage sustainability education to support ecological literacy and sustainability-oriented planning perspectives within urban planning curricula. Full article

Higher construction costs (CCs) linked to carbon reduction methods have hindered the adoption of low-carbon approaches in the built environment. The simultaneous minimisation of upfront embodied carbon (EC) and CCs has not received much attention in building design optimisation (BDO) research; most studies prioritise operational energy, operational carbon, and operational cost reduction. This paper develops an integrated conceptual framework for low-carbon, cost-effective BDO, particularly targeting upfront EC and CCs, to fill this research gap and meet industry demands. A systematic literature review was conducted following PRISMA guidelines, synthesising 41 peer-reviewed articles published between 2015 and 2026. Thematic and content analyses were employed to extract and categorise key methodological components, including optimisation problem characterisation, objective-driven design variable selection, constraint modelling, algorithm selection, and evaluation and validation approaches. Subsequently, the developed conceptual framework was validated through semi-structured expert interviews with participants comprising BDO researchers and building designers in the construction field. A cross-mapping of optimisation objectives, optimised parameters, and design variables was developed to clarify their interrelationships, alongside structured criteria for optimisation algorithm selection. Based on these insights, a conceptual framework named “ICCO-BD (Integrated Upfront Carbon and Construction Cost Optimisation for Building Design) framework” is proposed and validated, integrating problem formulation, parametric modelling, multi-objective optimisation, and systematic Pareto-based evaluation into a coherent end-to-end workflow, enabling improved time efficiency through reduced redesign iterations, enhanced solution quality via better pareto front exploration, and more robust decision-making through clearer trade-off interpretation. While expert feedback indicated strong conceptual relevance and practical applicability, the framework remains conceptual in nature and requires further empirical verification through real-world case studies and optimisation applications before broader industry implementation. Full article