Search Results (48,831)

Coastal urban environments are increasingly exposed to natural hazards, including storm surges, tsunamis, coastal erosion, and flooding, which threaten lives, livelihoods, and infrastructure. Despite their widespread use, conventional hard and soft engineering measures have often proved insufficient to address the escalating risks posed by climate change and rapid urbanisation. This study explores the potential of Nature-Inspired Solutions (NiS) as a complementary pathway to advance resilience in architecture, urban design, and planning. Unlike Nature-Based Solutions that utilise existing ecosystems directly, NiS draw design principles from both biotic and abiotic natural systems, offering innovative models for resilient settlements, coastal infrastructure, and adaptive urban planning. Using a mixed-methods approach that includes systematic and narrative reviews, semi-structured expert interviews, analysis of urban development plans, a panel discussion, and expert brainstorming, this research examines how natural coastal systems inform design interventions. Sri Lanka was selected as the primary case study context due to its exceptional coastal vulnerability, significant climate adaptation policy gaps, and status as a small island developing state representative of the coastal challenges faced by similar contexts globally. Furthermore, Sri Lanka was selected as the case study in accordance with the original research proposal submitted to the University of Huddersfield, which identified the country as a suitable context due to its significant vulnerability to coastal hazards, as outlined above. Field investigations in the Lunawa coastal area documented community-based adaptive practices emerging from multi-generational environmental observation. Analysis reveals how dune morphologies, root structures, living shorelines, and rock pool formations translate into architectural and engineering applications. Findings identify critical implementation challenges, including context-specific requirements, technical knowledge gaps, insufficient policy frameworks, limited practitioner awareness, and uncertainties about economic feasibility, as well as key enablers such as demonstrated ecological effectiveness and the potential of multifunctional infrastructure. The study demonstrates that embedding NiS into risk-informed planning and resilient urban design contributes to climate change adaptation, ecological sustainability, and inclusive governance, while highlighting persistent barriers that require strategic intervention. By bridging ecological wisdom and architectural innovation, NiS offers transformative opportunities to reimagine resilient coastal cities and communities facing escalating climate-induced hazards. Full article

Essential oils are complex plant-derived volatile blends composed of a myriad of aromatic secondary metabolites. The volatile architecture of plant essential oils suggests a consistent trend under the experimental conditions evaluated, regardless of the distillation scale and methodology. This study presents a comparative chemometric evaluation of two integrated processing systems: laboratory-scale hydrodistillation (HD) of dried biomass versus semi-industrial-scale dry steam distillation (SD) of fresh biomass. Seven economically important botanical species spanning three families were analyzed: Lavandula angustifolia, Salvia officinalis, Hyssopus officinalis, Mentha piperita, Mentha spicata, Achillea millefolium, and Picea abies. Gas chromatography–mass spectrometry (GC-MS) profiling revealed that HD consistently yielded a more chemically diverse volatile profile than SD. Unsupervised Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) achieved absolute binary segregation between the HD and SD fractions for every species. Supervised Partial Least Squares Discriminant Analysis (PLS-DA) established robust predictive models (Q² cum > 0.98), isolating specific chemical markers responsible for the variance. The results prove a universal physical trend: HD significantly enriched low-boiling oxygenated derivatives (such as oxygenated monoterpene alcohols and oxides), while SD selectively preserved heavier, thermally sensitive hydrocarbon fractions across all taxonomic groups. Ultimately, combining GC-MS with multivariate chemometrics provides an objective, automated framework for quality control, authentication, and industrial process optimization in the essential oil sector. Full article

We investigate dynamic weighted fractional information-theoretic measures for linear stochastic differential equations driven by fractional Brownian motion with Hurst parameter $H\in (1/2,1)$. Motivated by recent constructions of fractional Deng entropy and building upon explicit Gaussian solutions and closed-form fractional moments derived in previous work, we establish fully analytical expressions for the Shannon entropy, Rényi entropy, Tsallis entropy, extropy, and a continuous weighted fractional entropy $\mathbb{E}\left[X_t^p(-log{p}_{X_t}\left(X_t\right))\right]$ for $p\ge 0$, expressed directly in terms of known fractional moments without density estimation. All derived measures share a universal asymptotic scaling law growing as $Hlogt$, establishing a precise quantitative link between long-memory effects and information dynamics. The weighted fractional entropy further reveals remarkable structural properties as a function of the weighting order p, exposing a dual role of long memory on the system’s informational content. As a concrete application, we characterize anomalous diffusion in aging soft materials through an explicit critical time linking maximal uncertainty to the memory exponent H and the macroscopic aging rate. All results are validated through extensive Monte-Carlo simulations, demonstrating excellent agreement with the closed-form expressions across a wide range of Hurst exponents H and weighting orders p. Full article

In many university and healthcare projects, models are built for very different data types such as tables, institutional time series, and medical images, but they are deployed as separate applications. In this work, that separation made testing and maintenance difficult because each module had its own pipeline and runtime requirements. This paper presents an integrated AI lakehouse-style implementation that runs three model pipelines inside one containerized backend. For medical imaging, we used MRI datasets from IEEE DataPort: a four-class classification set with 7012 images (5708 train/1304 test) and a segmentation set with 3063 image–mask pairs. The classification model (ResNet50 transfer learning) is evaluated using a proper train–validation–test protocol across multiple splits (80/10/10, 70/10/20, 60/10/30, and 10/30/60), achieving a test accuracy of 99.00% under the standard 80/10/10 split. Additionally, a patient-level evaluation is conducted using an external glioma dataset to provide a more realistic assessment without data leakage. The segmentation model (DeepLabV3-ResNet50) achieved 83.09% validation mIoU and 88.79% Dice score. For university KPI forecasting, we used annual IPEDS and NSF HERD data from 2010 to 2023 for three universities (BSU, EOU, and UAB). To examine the effect of preprocessing on forecasting performance, two case studies are conducted. In the first case, linear interpolation is applied to generate semester-level data. In the second case, the original annual data is used directly without interpolation. Random Forest regression and ARIMA models are evaluated using MAE, RMSE, MAPE, and $R^2$. The results showed that interpolation improved apparent forecasting performance due to smoothing, while evaluation on the original annual data provided a more realistic assessment of model behavior. To further validate the framework on a larger dataset, an additional case study is conducted using a student dropout dataset. For water potability, we trained and compared multiple tabular classifiers on a large dataset (1,048,575 samples). A Random Forest model (100 trees, max depth 10) achieved 85.86% test accuracy and high recall for unsafe samples (0.8447). All modules are served via FastAPI and deployed together using Docker, with workflow automation routing requests to the correct endpoint. System-level benchmarking indicates that the backend maintains stable throughput and latency under concurrent requests. Full article

The long-term psychological consequences of COVID-19 remain insufficiently understood in student populations. This study examined the association between post-COVID-19 consequences and psychological functioning in university students, focusing on the mediating role of trait anxiety. A total of 7482 students aged 17 to 23 years completed an online survey assessing COVID-19 history, post-COVID-19 consequences, psychological well-being (WHO-5), subjective happiness (SHS), life satisfaction (SWLS), and trait anxiety (STAI). Participants were classified into three groups: no history of COVID-19, COVID-19 without post-COVID-19 consequences, and COVID-19 with post-COVID-19 consequences. Group differences were analyzed using ANOVA with Tukey post hoc tests, followed by regression and mediation analyses controlling for age and sex. Students reporting post-COVID-19 consequences showed higher trait anxiety and lower psychological well-being, subjective happiness, and life satisfaction than both comparison groups. Regression analyses indicated that poorer psychological functioning was associated specifically with post-COVID-19 consequences rather than COVID-19 history per se. Mediation analyses among previously infected students showed that trait anxiety statistically mediated these associations, accounting for 61% of the effect on psychological well-being, 84% on subjective happiness, and 68% on life satisfaction. These findings highlight trait anxiety as an important psychological factor statistically accounting for the association between post-COVID-19 consequences and reduced well-being. Full article

While reading habits strongly correlate with academic success, empirical data regarding higher education (HE) literacy in Portugal remains scarce, particularly across the private sector. This study addresses this gap through a cross-institutional analysis comparing public and private HEIs alongside the island regions of Madeira and the Azores, challenging the assumption that digital natives universally reject print. A survey was administered to 558 students across 140 study cycles from 33 public and private HEIs, with data evaluated via non-parametric inferential methodologies. The sample displayed high reading appreciation, yielding a mean enjoyment score of 7.54 out of 10 (SD = 2.29) and an annual median of 4 books. Significant demographic variations (p < 0.05) emerged: female and older (23+) students demonstrated a significantly higher love of reading and voluntary book consumption, whereas males and younger cohorts gravitated toward technical texts and digital periodicals. Conversely, groups converged regarding internet usage and the primary structural barrier to literacy: an acute lack of time (67.9%). Crucially, while HEI type did not impact genre or platform choices, public university students reported significantly higher reading enjoyment and read more books annually than their private-sector peers (p < 0.05). These findings underscore that individual literacy is actively moderated by institutional micro-climates, providing administrators with precise empirical targets to design tailored reading initiatives. Full article

This study examines the extent to which Chile’s 18 state universities contribute to sustainability and the 2030 Agenda, with a specific focus on the 17 Sustainable Development Goals (SDGs). To this end, scientific publications, technological developments, innovation initiatives, and funded research projects carried out between 2022 and 2023 were analyzed using a combination of bibliometric analysis and document review. Data were collected from Scopus, Web of Science, and national databases, and classified using a structured keyword strategy aligned with each SDG. A PRISMA-inspired screening and selection workflow was employed to ensure consistency and transparency in the selection of the results. The analysis reveals a clear institutional focus on SDG 3 (Good Health and Well-being), SDG 4 (Quality Education), and SDG 11 (Sustainable Cities and Communities), which together account for the majority of outputs analyzed. In contrast, SDG 14 (Life Below Water) and SDG 15 (Life on Land) exhibit comparatively lower levels of representation. Differences were also observed among universities and across geographical macro-zones. The integrated analysis revealed important thematic asymmetries, territorial specialization patterns, and differentiated institutional sustainability profiles across the Chilean public university system. These findings highlight both the strengths and the current gaps in institutional alignment with the SDGs. The paper concludes by proposing concrete measures to improve coordination and information systems with the aim of reinforcing the strategic role of public universities in advancing sustainable development at both the national and regional levels. Full article

Introduction. Chronic non-cancer pain is highly prevalent and profoundly diminishes quality of life. While pharmacological and interventional treatments are central, its psychosocial and spiritual dimensions remain under-addressed. This pilot study assessed the feasibility of a therapist-led support group intervention for patients with chronic non-cancer pain and explored preliminary psychospiritual outcomes. Methods. A two-arm, non-randomized pilot feasibility study was conducted among 58 outpatients of a university pain management clinic in Poland. Feasibility was assessed through recruitment, retention, attendance, and safety, while preliminary psychological and spiritual outcomes were evaluated using validated self-report instruments. The intervention group (n = 29) participated in eight group sessions combining psychoeducation, mindfulness-based techniques, and supportive dialogue inspired by the Simonton Method. The control group (n = 29) received standard care. Participants completed the Numeric Rating Scale to measure pain intensity, the Satisfaction with Life Scale, the Positive and Negative Affect Schedule, the WHOQOL-BREF, the Spiritual Well-Being Scale, the Generalized Anxiety Disorder Scale, and the Patient Health Questionnaire-9. Results. The intervention was feasible in terms of physician workload; however, patients adherence varied significantly. At baseline, the control group showed a significantly higher positive affect and existential well-being than did the intervention group. In exploratory within-group analyses, participants in the intervention group showed improved positive affect and reduced anxiety (p < 0.05), whereas existential well-being showed a trend toward improvement (p < 0.06). However, the self-selection design limits causal inferences. Nevertheless, participants reported social connectedness, meaning-making, and enhanced vitality. Discussion. This pilot feasibility study provides preliminary evidence that a therapist-led support group intervention integrating psychoeducation, mindfulness, and supportive components is practicable within multidisciplinary pain management. Further research in a larger, randomized trial is needed to evaluate adherence and safety, as well as clinical effects, more rigorously. Full article

This study examined Saudi adolescents’ digital use, experiences of cyberbullying, and willingness to seek help when facing online risks. Furthermore, the study examined how perceived online safety, preferred reporting sources, exposure to online safety education, and demographic characteristics are associated with resistance to help-seeking. A cross-sectional online survey was completed by 302 adolescents aged 11–17 years across Saudi Arabia. Descriptive statistics, one-way ANOVAs, and hierarchical multiple regression were used to explore patterns and predictors of resistance to help-seeking. Descriptively, the results showed near-universal smartphone access, high daily screen time, and that a substantial minority had experienced recent cyberbullying, including repeated victimization. Although most participants reported feeling safe online, many expressed uncertainty and endorsed self-reliant or avoidant responses, with over half agreeing they would “just ignore” cyberbullying. Parents were the most frequently identified reporting source, yet around one-fifth of adolescents said that they would not seek help from anyone. Regression analyses indicated that female gender, higher socioeconomic status, feeling less safe online, and receiving online safety education from multiple sources were associated with lower resistance to help-seeking, whereas greater cyberbullying exposure predicted higher resistance. Overall, the results highlight the need for multi-source, culturally grounded online safety education and strengthened reporting pathways across families, schools, and digital platforms to support Saudi adolescents who experience cyberbullying and related online harms. Full article

Microplastic (MP) contamination has become a defining feature of twenty-first century environmental change, yet the toxicological and ecological consequences for amphibians and reptiles—two vertebrate classes already facing severe extinction pressures—remain fragmented across taxa, regions, and methodological traditions. Here, we synthesize field and experimental evidence from five continents to provide a taxonomically balanced, mechanistically grounded, and geographically explicit assessment of MP exposure, bioaccumulation, and toxicity in herpetofauna, drawing on a structured literature search in Web of Science, Scopus, and PubMed (January 2015—March 2026). Field detection rates of MPs in amphibian larvae range from 26% in conservatively screened Central European populations to 73–80% in anuran tadpoles from high-anthropogenic-pressure Anatolian catchments, with fibrous polyethylene terephthalate (PET), polyethylene (PE), and polypropylene (PP) particles dominating the detected burden. Mechanistic evidence converges on oxidative stress cascades, hypothalamic–pituitary–thyroid axis disruption, gut and cutaneous microbiome dysbiosis, and compromised antiviral and antifungal immunity, with the latter potentially amplifying vulnerability to Batrachochytrium dendrobatidis and to ranavirus. Among reptiles, sea turtles display near-universal MP ingestion with documented maternal transfer to eggs; freshwater turtles, terrestrial squamates, and crocodilians remain critically understudied. Three structural asymmetries constrain current ecotoxicological risk characterization: taxonomic bias toward anurans and sea turtles, geographic bias toward the Global North, and experimental bias toward acute, supra-environmental laboratory exposures using pristine, single-polymer particles that fail to capture the chemical complexity of weathered field mixtures. We argue that MP burden may warrant consideration as a candidate stressor criterion within IUCN Red List assessments and within environmental risk assessment frameworks for freshwater and terrestrial biodiversity once a robust quantitative relationship between MP burden and demographic decline or population-level fitness has been established, and propose six hypothesis-driven research priorities: methodological standardization, reptile toxicokinetics, transgenerational epigenetics, MP–pathogen microbiome interactions and their translation into population viability models, temperature × MP interaction under climate warming, and population-genetic consequences of contemporary MP-driven selection, as the most tractable avenues for ecotoxicological progress and for the development of herpetofauna-specific risk characterization frameworks. Full article

Universities serve as catalysts for knowledge creation across territories, promoting innovation and economic development through different channels. This paper investigates the role of university graduates as a location determinant of new green-tech-based firms (NGTBFs) across Italian NUTS-3 regions over the period 2011–2017. We examine whether universities, as providers of high-skilled human capital, affect the spatial distribution of new green ventures. Adopting a patent-based definition of NGTBFs and an econometric framework accounting for regional heterogeneity, we analyse the impact of university graduates on green firm creation. The results show that higher education fosters green entrepreneurship primarily through the channel of producing doctoral and STEM-oriented graduates, who serve as key drivers of NGTBF formation. Interestingly, the analysis reveals marked spatial heterogeneity across Italy’s North–South divide, with stronger associations of PhD and STEM graduates in Southern regions, where specialised human capital appears to compensate for weaker innovation systems. These findings deliver clear policy implications, suggesting that strategies aimed at promoting green entrepreneurship should prioritise advanced, STEM-oriented human capital and explicitly account for regional contexts, rather than relying on uniform higher education expansion approaches. Full article

Biological thin-sheet systems, including leaves, insect wings, and flowering organs, achieve adaptive deformation through distributed compliance, segmentation, curvature, and controlled opening. Kirigami offers a bio-inspired route for translating such deformation logics into programmable thin-sheet surfaces; however, the geometric parameters that most strongly influence elastic displacement remain insufficiently quantified, especially across different loading regimes. This study investigates Bio-Inspired Regime-Dependent Parameter Selection in Parametric Kirigami through twenty-five laser-cut specimens spanning five boundary shapes and three thermoplastic substrates. Specimens were tested under two contrasting regimes: quasi-static tensile loading and gravity-drape loading. Elastic displacement was measured under eight-point boundary fixation and analyzed using regime-separated Pearson correlations, Bonferroni-corrected significance testing (α/18 = 0.0028), and shape-controlled partial correlations. Under tensile loading, the Number of Offsets (r = 0.807), Segments per Offset (r = −0.603), and outer-boundary void perimeter (r = 0.621) showed the strongest Bonferroni-robust associations with displacement. Under gravity-drape loading, effects were weaker and more curvature-sensitive, indicating that parameter relevance is not universal but regime-dependent. Within the tested parametric design space, the study provides an experimentally grounded basis for selecting Kirigami geometric parameters in thin-sheet structures whose adaptive deformation logic is analogous to compliant systems found in nature. Full article

Food waste research often applies the Motivation–Opportunity–Ability (MOA) framework, yet conventional aggregate measures may obscure the distinct roles of physical context and cognition-related capacity. Using a macro-contextual, micro-primary dual-layer design, this study first uses World Bank data from 176 countries to provide structural context; this macro layer is not statistically linked to the student-level model. The main behavioral inference comes from matched plate-weighing and questionnaire data from 170 students across two purposively selected ordinary higher education institutions in northern and southern China. Within this exploratory and context-specific micro-level sample, the baseline three-dimensional MOA model explains only 4.1% of variance in log-transformed plate waste, whereas decomposing Opportunity into social and physical components and representing the Ability extension through behavioral ability and a two-item cognitive-capacity proxy improves model fit. The five-dimensional model explains 44.1% of variance ($F=26.2$, $p<0.001$). Johnson relative weight analysis indicates that Physical Opportunity (51.1%) and the two-item cognitive-capacity proxy (46.3%) account for most explained MOA variance in this sample. Item-level sensitivity checks further suggest that portion estimation and nutrition knowledge should be interpreted as distinct cognition-related indicators rather than as a validated latent scale. Robustness checks across raw, log-transformed, winsorized, logistic, and quantile specifications indicate consistent positive associations for Physical Opportunity and consistent negative associations for cognition-related indicators. Because the design is cross-sectional, these findings identify associations rather than causal effects; physical-environment redesign and cognitive-capacity support should therefore be treated as candidate directions for future intervention testing rather than as confirmed intervention effects. By linking objectively measured plate waste to institutional dining conditions, the study contributes to sustainability research on responsible consumption, resource efficiency, low-carbon campus operations, and practical pathways for reducing avoidable food-related environmental burdens in university settings. Full article

This qualitative study examines how culturally responsive pedagogy (CRP) and transformative learning are fostered in higher education when structured reflection, dialogic engagement, and feedback are intentionally embedded in teacher education coursework. Drawing on data from two university courses—one undergraduate course for preservice teachers and one graduate course for in-service educators (n = 44)—the study explores how equity-focused instructional design supports development toward inclusive, globally informed practice. Data sources included student reflective writing, an anonymous pre- and post-semester survey aligned with InTASC dispositions, instructor reflexive journals, peer observation reports, and course feedback artifacts. Of the 44 enrolled participants, 39 completed the pre-survey and 19 completed the post-survey; survey results were analyzed descriptively at the group level because responses were anonymous and could not be matched across time. Analysis followed Braun and Clarke’s thematic analysis procedures, with trustworthiness strengthened through triangulation, peer debriefing, member checking with a subset of participants, and reflexive journaling. Findings revealed seven interconnected themes demonstrating how reflective writing, critical scholarship, multimedia exemplars, dialogic feedback, and iterative course design supported movement from awareness toward equity-oriented pedagogical praxis. Four overarching outcomes were especially salient: (a) expanded understandings of CRP as justice-oriented praxis; (b) increased capacity to identify and interrogate personal and systemic bias; (c) stronger connections between global and intercultural perspectives and locally grounded teaching commitments; and (d) reported pedagogical shifts toward more inclusive, equity-centered practice. Survey findings indicated a group-level shift from Agree toward Strongly Agree across equity-oriented dispositions, suggesting strengthened professional commitments while warranting cautious interpretation given unmatched responses and post-survey attrition. Comparative analysis also highlighted cohort-differentiated developmental trajectories, underscoring the importance of scaffolded, context-responsive approaches in equity-focused teacher education. Overall, the study demonstrates how intentional instructional design can position reflection as an ethical and professional stance that supports equity, inclusion, and global readiness across educator career stages. Full article

Research on post-COVID tourism behaviour has expanded rapidly, yet inland UNESCO World Heritage cities remain underexamined, particularly in Mediterranean contexts. This study examines whether the pandemic produced durable changes in tourist behaviour and in willingness to pay for sustainable services in Cáceres, Spain. A structured face-to-face survey was administered to 421 visitors in March 2023, after public-health restrictions had been lifted. The analysis covered self-reported behavioural change, perceived impacts on different destination types, perceived effects on local sustainability objectives and changes in willingness to pay (WTP) for sustainable services. Descriptive statistics were complemented by an exploratory binary logistic regression predicting increased WTP. Because the model includes only sociodemographic predictors and shows modest fit, it is used to describe associations rather than to predict. Reported behavioural change was limited: mean scores for crowd avoidance, health–safety preferences, shorter stays and substitution towards rural and nature tourism ranged from 1.73 to 1.91 on a five-point scale. Respondents nevertheless perceived substantial spatial effects of the pandemic, particularly on natural parks (92.6%) and rural destinations (84.1%). Most believed that the pandemic had accelerated sustainability efforts mainly through greater institutional and business awareness (54.9%). WTP proved relatively stable, with 62.7% reporting no change and 26.1% an increase. Women and respondents with university education showed higher odds of reporting increased WTP. Because constructs such as institutional trust and pro-environmental values were not measured directly, these attitudes are interpreted—rather than demonstrated—as reflecting governance-related confidence and value orientations more than lingering health concerns. This governance-and-values reading is the study’s main interpretive contribution and requires confirmation with direct measures of the underlying constructs. Full article