Search Results (200)

In a significant transition from classical theories of efficient markets and perfectly rational investors, the recent literature has increasingly acknowledged the importance of the human element and external market conditions in decision-making. However, the application of adaptive market frameworks in the property sector remains underexplored. This gap is particularly pronounced in the commercial property market, where structural inefficiencies, such as information asymmetry and illiquidity, amplify decision-making complexity. Given that investor rationality tends to diminish as uncertainty and complexity increase, this study explored how private commercial property investors adapt their strategies amid heightened uncertainty. The perspectives of seven experienced property experts were thematically analysed to highlight recurring patterns, which were then integrated into a conceptual mind map. The findings reveal that while economic fundamentals are the constant drivers of capital allocation decisions, investors process these signals through the lens of adaptive behaviour based on intuition, experience, risk perceptions, and herding. This relationship becomes more pronounced under conditions of heightened uncertainty, where investors seek to supplement available information with sentiment due to weaker signals and declining confidence in fundamentals. Sustainable investing and technology integration also emerged as core considerations, but interest among private investors is subdued due to ambiguous value propositions regarding the long-term economic benefits of a green premium. These findings offer practical insights into how external market conditions influence property investment decisions and provide a platform for operational models of investment decision-making that integrate adaptive behaviour. Full article

In order to understand how health beliefs map onto health behaviors, a national survey, administered in the wake of the COVID-19 campus closures, was conducted to explore college students’ mind-body health beliefs and their health behaviors (across dimensions of physical exercise, diet/nutrition, and socialization). To this end, the Mind-Body Health Screener (MBHS), a five-item, Likert scale, brief measure, was developed. The present study applied an online survey design administered nationally to U.S. undergraduate students during the initial lockdowns with the pandemic (n = 557). To examine the psychometric properties of the MBHS, exploratory and confirmatory factor analyses were run as well as measures of reliability. Furthermore, linear regressions and effect sizes were computed to understand the connection between mind-body health beliefs and behaviors. While initial data supported the psychometric properties of the Mind-Body Health Screener (MBHS) developed for this purpose, substantive results suggested that mind-body health beliefs did not relate to mind-body health behaviors (either before or after the campus closures), aligning with the Cognitive Dissonance Theory. Post hoc analysis did, however, suggest a significant change in health behaviors from pre-campus closures to during the closures, suggesting students engaged in more physical exercise, eating behaviors, and socializing before campus closed, observed with small to large effects. Taken together, the findings of the present study illustrate how the Cognitive Dissonance Theory is a relevant perspective to consider the relation between health beliefs and behaviors during a period of immense stress, such as the COVID-19 initial campus closures. Full article

The Bardo Thodol (bar do thos grol), commonly known in the West as The Tibetan Book of the Dead, has traditionally served as a spiritual manual guiding consciousness through the postmortem bardo (bar do) states toward liberation or rebirth. While prior interpretations have framed the text in ritualistic, psychological, or mystical terms, this essay proposes an original and interdisciplinary expansion: that the bardo model can serve as a framework for understanding digital identity dissolution and transformation. Drawing from Tibetan Buddhist thought, extended mind theory, digital anthropology, and cognitive science, this study reinterprets the bardo states as phenomenological thresholds that manifest not only in physical death but also in virtual liminality—moments of radical ego disintegration, avatar deconstruction, and reidentification in digital and augmented environments. By mapping the six bardos onto digital experiences, this paper presents a unique synthesis of esoteric Tibetan metaphysics and contemporary posthuman theory, offering new insights into consciousness, ethical selfhood, and the future of identity. Full article

In language classes, speaking skills are often taken for granted, and not enough attention is paid to developing these skills in a targeted way. In our study, the speaking skills of third-grade students (N = 46) are developed in integrated Lithuanian and English lessons through the analysis of visual material. Visual material is an aid and a means for expanding students’ vocabulary and developing their ability to express their thoughts verbally. The students are aged 9–10 years old. The aim of the study was to investigate the development of third-grade students’ speaking skills using visual material analysis in two languages. The Action Research was conducted in a school in one of Lithuania’s major cities. During the Action Research, students completed mind maps and analyzed visual material by answering questions in two languages. The questions were designed to cover different groups of thinking skills (knowledge and understanding, drawing conclusions, interpretation, and evaluation). The students spoke their prepared answers to the questions. The accuracy and correctness of the answers, English pronunciation, and the ability to speak in complete sentences were evaluated. Full article

Engineering education often struggles to connect academic content with the real-world skills demanded by industry. Despite the inclusion of teamwork, collaborative learning, and leadership training in engineering curricula, many graduates remain unprepared to deal with complex and professional challenges. This study presents a cross-curricular, practice-oriented methodology designed to strengthen the integration of theoretical knowledge and professional competencies among engineering students. The method has been implemented in the degree in Industrial Design and Product Development Engineering at the University of Cádiz. Students engaged in a realistic design task—developing an outdoor clothesline system—requiring the application of content from Materials Science, Structural Analysis, and Computer-Aided Design. Digital tools such as MILAGE LEARN+ (for gamified content review) and MindMeister (for concept mapping) have been integrated to promote autonomous learning and interdisciplinary thinking. The methodology has also been designed to improve transversal skills such as initiative, communication, and teamwork through collaborative and student-led project development. The approach has been evaluated through pre- and post-intervention surveys, informal feedback, and internship outcomes. The results showed a 40% reduction in students reporting difficulty retaining theoretical content (from 78% to 38%) and a 29% increase in self-perceived autonomous learning. The proportion of students feeling unprepared for professional environments dropped from 73% to 34%. Those experiencing anxiety when facing real-world problems has been reduced from 92% to 57%. Students have also reported greater motivation and a clearer understanding of the practical relevance of the academic content. These findings suggest that structured interdisciplinary challenges, when supported by blended learning tools and authentic design problems, can significantly improve student readiness for professional practice. The proposed methodology offers a replicable and adaptable model for other engineering programs seeking to modernize their curricula and foster transferable and real-world skills. Full article

Background/Objectives: Caring–healing modalities (CHMs), i.e., non-pharmacological, nurse-led interventions rooted in caring science, have shown promise in reducing emotional distress, while enhancing resilience. CHMs are heterogeneous, making it challenging to determine how they are formulated to build resilience, mitigate emotional distress, and explore their mechanisms of action. This scoping review mapped the literature on CHMs, including their components, targeted outcomes, and measures. Methods: This review was conceptually driven by Watson’s Theory of Human Caring, followed the JBI methodology, and reported according to the PRISMA-ScR. Experimental studies, systematic reviews, opinion pieces, and the gray literature on CHMs for emotional distress and resilience delivered to persons with cancer, written in English, were considered. No date or setting limits were applied. Eleven databases (e.g., PubMed and CINAHL Full Text), were searched. Two independent reviewers screened, selected, and extracted the data. The results were interpreted using Watson’s theory. Results: We included 16 records (2016–2025), mostly from the United States (n = 4; 25%) and China (n = 6; 37.5%). The CHMs mainly targeted persons with breast cancer. The CHMs were categorized into four groups: mindfulness-based, group-based, expressive, and educational. Common active ingredients included peer support and group discussions. Dedicated healing spaces facilitated CHMs delivery; mode of delivery and dose varied widely. Conclusions: This review provides a foundational understanding of CHMs as a caring-based, holistic approach to cancer survivorship. Findings identify CHMs’ key components, including active ingredients, mode of delivery, and dose. Future studies should ensure diversity in terms of cancer type, as most existing studies focused on breast cancer. Full article

Background: Intuitive inquiry meditation (Can-Hua-Tou) is a unique mental practice which differs from relaxation-based practices by continuously demanding intuitive inquiry. It emphasizes the doubt-driven self-interrogation, also referred to as Chan/Zen meditation. Nonetheless, its electrophysiological signature remains poorly characterized. Methods: We recorded 128-channel EEG from 20 male Buddhist monks (5–28 years Can-Hua-Tou experience) and 18 male novice lay practitioners (<0.5 year) during three counter-balanced eyes-closed blocks: Zen inquiry meditation (ZEN), a phonological control task silently murmuring “A-B-C-D” (ABCD), and passive resting state (REST). Power spectral density was computed for alpha (8–12 Hz), beta (12–30 Hz) and gamma (30–45 Hz) bands and mapped across the scalp. Mixed-design ANOVAs and electrode-wise tests were corrected with false discovery rate (p < 0.05). Results: Alpha power increased globally with eyes closed, but condition- or group-specific effects did not survive FDR correction, indicating comparable relaxation in both cohorts. In contrast, monks displayed a robust beta augmentation, showing significantly higher beta over parietal-occipital leads than novices across all conditions. The most pronounced difference lay in the gamma band: monks exhibited trait-like fronto-parietal gamma elevations in all three conditions, with additional, though sub-threshold, increases during ZEN. Novices showed negligible beta or gamma modulation across tasks. No significant group × condition interaction emerged after correction, yet only experts expressed concurrent beta/gamma amplification during meditative inquiry. Conclusions: Long-term Can-Hua-Tou practice is associated with frequency-specific neural adaptations—stable high-frequency synchrony and state-dependent beta enhancement—consistent with Buddhist constructs of citta-ekāgratā (one-pointed concentration) and vigilance during self-inquiry. Unlike mindfulness styles that accentuate alpha/theta, Chan inquiry manifests an oscillatory profile dominated by beta–gamma dynamics, underscoring that different contemplative strategies sculpt distinct neurophysiological phenotypes. These findings advance contemplative neuroscience by linking intensive cognitive meditation to enduring high-frequency cortical synchrony. Future research integrating cross-frequency coupling analyses, source localization, and behavioral correlates of insight will further fully delineate the mechanisms underpinning this advanced contemplative expertise. Full article

Background/Objectives: Mental health and emotional well-being are critical yet often overlooked in older adults. Immersive virtual reality (VR) may offer novel strategies for promoting relaxation in this population, but the diversity of intervention designs and underlying mechanisms remains insufficiently mapped. This scoping review aimed to systematically examine head-mounted display (HMD) VR interventions for relaxation in older adults, focusing on core scenarios, mechanisms, and conceptual paradigms. Methods: Following the JBI Manual for Evidence Synthesis and PRISMA-ScR guidelines, comprehensive searches of MEDLINE, Cochrane Library, Web of Science, and Scopus were conducted for empirical studies of HMD-based VR relaxation interventions in adults aged 60 and older. Data on study characteristics, hardware, intervention scenarios, and reported physiological and psychological mechanisms were extracted and categorized into conceptual paradigms. Results: Twenty-four studies were included, covering diverse clinical and community samples. Four main VR relaxation paradigms emerged: environmental relaxation, guided meditation, psychotherapy integration, and interactive gamified relaxation. Reported mechanisms included parasympathetic activation, multisensory immersion, attentional distraction, positive affect induction, mindfulness, cognitive engagement, and reminiscence activation. Considerable heterogeneity was found in intervention design and outcomes, with mechanisms often inferred rather than directly described. Conclusions: Similar relaxation mechanisms were engaged across paradigms, including hybrid interventions combining multiple approaches, highlighting the adaptability of VR to meet diverse needs. Identifying these four paradigms provides a foundation for future research and development of targeted VR-based relaxation for older adults. Further studies should clarify mechanisms, use standardized physiological outcome measures, and assess long-term benefits of VR relaxation interventions in geriatric populations. Full article

Representational Theories of Mind have long dominated Cognitive Translation Studies, typically assuming that translation involves the manipulation of internal representations (symbols) that stand in for external states of affairs. In recent years, classical representationalism has given way to more nuanced, inferential, interpretive, context-sensitive, and modern representational models, some of which align naturally with probabilistic and predictive approaches. While these frameworks remain broadly compatible with one another, radical enactivism offers a more disruptive alternative: it denies representational content altogether, viewing translation instead as an affectively grounded, context-sensitive, self-evidencing activity shaped by the translator’s embodied engagement with text, context, and sociocultural norms. From an enactivist standpoint, translation emerges not from static symbolic mappings, but from situated, embodied, and affectively modulated inference processes that dynamically negotiate meaning across languages. The paper provides a theoretical synthesis, arguing that the Free Energy Principle under Predictive Processing and Active Inference provides a suitable mathematical framework amenable to representational and enactive accounts. Full article

Background: Comorbid personality disorders (PDs) in patients with anorexia nervosa (AN) are associated with increased psychopathology, higher suicide risk, and poorer treatment response and outcomes. This study aimed to examine associations between gray matter (GM) volume and PDs in female adolescents with AN before and after short-term psychotherapeutic and nutritional therapy. Methods: Eighteen female adolescents with acute AN, mean age 15.9 years, underwent 3T magnetic resonance imaging before and after weight restoration. The average interval between scans was 2.6 months. Structural brain changes were analyzed using voxel-based morphometry. PDs were assessed using the Structured Clinical Interview for DSM-IV Axis II Disorders (SCID II) and the Assessment of Identity Development Questionnaire. Results: SCID-II total scores showed significant positive associations with GM volume in the mid-cingulate cortex at both time points and in the left superior parietal–occipital lobule at baseline. The histrionic subscale correlated with GM volume in the thalamus bilaterally and the left superior parietal–occipital lobule in both assessments, as well as with the mid-cingulate cortex at follow-up. Borderline and antisocial subscales were associated with GM volume in the thalamus bilaterally at baseline and in the right mid-cingulate cortex at follow-up. Conclusions: PDs in female adolescent patients with AN may be specifically related to GM alterations in the thalamus, cingulate, and parieto-occipital regions, which are present during acute illness and persist after weight restoration therapy. Full article

Background: Schizophrenia affects patients’ organizational thinking, as well as their ability to identify problems. The main objective of this study was to explore healthcare consultants’ application of AI mind maps to educate patients with schizophrenia regarding their perceptions of family function, social support, quality of life, and loneliness, and to help these patients think more organizationally and understand problems more effectively. Methods: The study used a survey research design and purposive sampling method to recruit 66 participants with schizophrenia who attended the psychiatric outpatient clinic of a hospital in central Taiwan. They needed to be literate, able to respond to the topic, and over 18 years old (inclusive), and they attended individual and group health education using AI mind maps over a 3-month period during regular outpatient clinic visits. Results: The study results show that patients’ family function directly affects their quality of life (p < 0.05) and loneliness (p < 0.05), satisfaction with social support affects quality of life and loneliness directly (p < 0.05), and satisfaction with social support is a mediating factor between family function and quality of life (p < 0.05), as well as a mediating factor between family function and loneliness (p < 0.05). Conclusions: Therefore, this study confirms the need to provide holistic, integrated mental health social care support for patients with schizophrenia, showing that healthcare consultants can apply AI mind maps to empower patients with schizophrenia to think more effectively about how to mobilize their social supports. Full article

Background/Objectives: It is essential to explore and disseminate positive deviance strategies that promote resilience, mindfulness, and well-being beyond stress and burnout reduction strategies for residents and physicians who experience high levels of occupational stress. This scoping review maps studies that investigate positive deviance strategies to enhance the well-being of residents and physicians. Methods: A scoping review was conducted by PRISMA guidelines to identify English-language studies on strategies for physician well-being. PubMed, MEDLINE, Embase, and ERIC were searched using terms related to well-being, coping, and medical education. Results: Among the 38 studies included, 17 (44.7%) targeted physicians in graduate medical education (GME), while 19 (50%) focused on continuing medical education (CME). Positive deviance strategies were identified in 26 studies and were most frequently implemented at the microsystem level, such as small group interventions (e.g., coaching, mentoring, and workshops). These strategies addressed individual and organisational factors that contribute to physician well-being and were associated with improvements in life satisfaction, resilience, professional identity, and psychological safety. The review found that positive deviance strategies were often proactive, values-driven, and disseminated organically over time, emphasising the importance of longitudinal engagement and sustained institutional support. Conclusions: This scoping review highlights the growing use of positive deviance strategies, especially at the microsystem level, to promote physician well-being. These approaches emphasise sustainable, values-driven practices and may offer effective, context-sensitive solutions within healthcare systems. Full article

The spatial distribution of ephemeral and perennial dryland plant species is increasingly modified and restricted by ever-changing climates and development expansion. At the interface of biodiversity conservation and developmental planning in desert landscapes is the growing need for adaptable tools in identifying and monitoring these ecologically fragile plant assemblages, habitats, and, often, heritage sites. This study evaluates usage of Sentinel-2 time series composite imagery to discriminate vegetation assemblages in a hyper-arid landscape. Spatial predictor spaces were compared to classify different vegetation communities: spectral components (PCs), vegetation indices (VIs), and their combination. Further, the uncertainty in discriminating field-verified vegetation assemblages is assessed using Shannon entropy and intensity analysis. Lastly, the intensity analysis helped to decipher and quantify class transitions between maps from different spatial predictors. We mapped plant assemblages in 2022 from combined PCs and VIs at an overall accuracy of 82.71% (95% CI: 81.08, 84.28). A high overall accuracy did not directly translate to high class prediction probabilities. Prediction by spectral components, with comparably lower accuracy (80.32, 95% CI: 78.60, 81.96), showed lower class uncertainty. Class disagreement or transition between classification models was mainly contributed by class exchange (a component of spatial allocation) and less so from quantity disagreement. Different artefacts of vegetation classes are associated with the predictor space—spectral components versus vegetation indices. This study contributes insights into using feature extraction (VIs) versus feature selection (PCs) for pixel-based classification of plant assemblages. Emphasising the ecologically sensitive vegetation in desert landscapes, the study contributes uncertainty considerations in translating optical satellite imagery to vegetation maps of arid landscapes. These are perceived to inform and support vegetation map creation and interpretation for operational management and conservation of plant biodiversity and habitats in such landscapes. Full article

The exponential growth of video data across domains such as surveillance, transportation, and healthcare has raised critical challenges in scalability, real-time processing, and privacy preservation. While existing studies have addressed individual aspects of Video Big Data Analytics (VBDA), an integrated, up-to-date perspective remains limited. This paper presents a comprehensive survey of system architectures and enabling technologies in VBDA. It categorizes system architectures into four primary types as follows: centralized, cloud-based infrastructures, edge computing, and hybrid cloud–edge. It also analyzes key enabling technologies, including real-time streaming, scalable distributed processing, intelligent AI models, and advanced storage for managing large-scale multimodal video data. In addition, the study provides a functional taxonomy of core video processing tasks, including object detection, anomaly recognition, and semantic retrieval, and maps these tasks to real-world applications. Based on the survey findings, the paper proposes ViMindXAI, a hybrid AI-driven platform that combines edge and cloud orchestration, adaptive storage, and privacy-aware learning to support scalable and trustworthy video analytics. Our analysis in this survey highlights emerging trends such as the shift toward hybrid cloud–edge architectures, the growing importance of explainable AI and federated learning, and the urgent need for secure and efficient video data management. These findings highlight key directions for designing next-generation VBDA platforms that enhance real-time, data-driven decision-making in domains such as public safety, transportation, and healthcare. These platforms facilitate timely insights, rapid response, and regulatory alignment through scalable and explainable analytics. This work provides a robust conceptual foundation for future research on adaptive and efficient decision-support systems in video-intensive environments. Full article

In the Hexaflex model of Acceptance and Commitment Therapy (ACT), psychological flexibility refers to the ability to openly embrace difficult thoughts and emotions while acting in alignment with personal values. In contrast, psychological inflexibility involves rigid avoidance and control strategies that hinder adaptive functioning. Although previously studied, more culturally relevant evidence is needed to inform interventions that promote well-being and mental health among Latin American students. This study explored manifestations of psychological flexibility and inflexibility in 15 undergraduate students from the University of Magdalena in Colombia (mean age = 20.13 years; 53.33% female) through semi-structured, face-to-face interviews (~45 min each). Data were analyzed using Interpretative Phenomenological Analysis (IPA), focusing on how participants described and made sense of their experiences. A total of 25 emergent themes were identified and grouped into 12 subordinate themes, mapped onto the 6 core ACT processes. The participants reported efforts to control or avoid distressing internal experiences, often resulting in difficulty acting in accordance with their values. The findings highlight a recurring ambivalence between avoidance and acceptance, and barriers to committed action, underscoring the dynamic interplay between flexibility and inflexibility. These results support the relevance of ACT-based interventions, such as structured group sessions that foster acceptance, mindfulness, and values-based behavior. Integrating this training into counseling and academic support services could enhance students’ well-being and performance. Future research should examine these dynamics longitudinally and across diverse contexts. Full article