Abstract: Environmental, Social, and Governance (ESG) frameworks are increasingly reshaping urban planning, real estate, and territorial governance. Originally conceived as corporate disclosure tools, ESG criteria are now influencing land use, regeneration strategies, and policy frameworks across Europe and beyond. This systematic review synthesizes 197 articles published between 2020 and 2025 to examine how ESG adoption translates into spatial, institutional, and governance outcomes. The findings show that ESG functions simultaneously as a financial instrument, a planning paradigm, and a governance mechanism. While it enables capital mobilization, climate resilience, and participatory innovation, it also risks reproducing socio- spatial inequities such as green gentrification, peripheral exclusion, and uneven infrastructure investment. Case studies from Florence, Cyprus, Russia, and broader European contexts demonstrate both methodological advances—such as spatiotemporal clustering, GIS-based analysis, and digital monitoring—and persistent gaps in regulatory frameworks, score reliability, and territorial integration. The paper contributes to planning scholarship by proposing an integrated framework that links ESG adoption to spatial justice, sustainable infrastructure, and multi-level governance. Policy implications emphasize the need to broaden ESG assessment to territorial indicators, embed safeguards against displacement, and align financial instruments with measurable social outcomes. Future research should advance geographic diversification, methodological innovation, and normative engagement with equity and resilience.

Abstract: The study of emotional body mapping has emerged as a critical tool for understanding the embodied mind, recently integrated into a tripartite framework comprising bottom-up physiological, top-down motor, and conceptual-metaphorical signals (Daikoku et al., 2025). However, current models remain largely descriptive, lacking a formalized account of functional lateralization as a predictive indicator of a subject’s cognitive stance. This paper proposes an integration of the Subjectica model (Shopin, 2025) into the body mapping paradigm to address this operational gap. By conceptualizing the body as a lateralized interface—distinguishing between the Personally-Oriented Left Side (PO-LS) and the Socially-Oriented Right Side (SO-RS) — we provide a methodology for interpreting Asymmetric Neurobehavioral Signals (ANS) through body segmental (BS). This paper introduces the concept of Sensory Circulation (SC) — a continuous flow of sensory signals that determines the level of somatic awareness and engagement through attentional mechanisms. Within the Subjectica framework, sensory circulation is analyzed through the lens of functional lateralization: the PO-LS and the SO-RS. This synthesis enables the interpretation of body maps not as passive affective reports, but as indicators of the subject's active cognitive stance. This approach shifts the analytical focus from the static localization of affect to the dynamic mapping of cognitive orientation. We posit that lateralized embodied patterns serve as a quantifiable link between hemispheric specialization and observable kinematics. This synthesis offers a rigorous neurophenomenological foundation for cognitive science, enabling the objective analysis of the "cognitive alphabet" expressed through the body.

Abstract: Prior research has consistently shown that students’ SAT scores are influenced by factors beyond academic ability, including socioeconomic background and ethnicity. This study employed aggregated school-level data from Massachusetts and New York City (NYC) to assess the quantitative relationships between average SAT scores and school-level demographics and interventions. The assessment aims to help regional and national education policymakers identify factors related to school academic merits and devise inclusive and effective ways to promote educational equality. Three analytical methods, multiple linear regression, relaxed Least Absolute Shrinkage and Selection Operator (LASSO), and decision trees, were conducted sequentially to decipher the complex relationships among variables. The analysis showed that schools with high percentages of Black, Hispanic, and low-income students tend to have lower average scores than schools with high percentages of White, Asian, and well-off students. Moreover, socioeconomic disadvantage is the most powerful and consistent predictor of lower SAT scores, with race and good academic preparation (i.e., percent attending college) functioning as secondary influences. The results indicate that SAT score disparities reflect structural inequities, and more SAT preparation resources are needed at schools with higher percentages of Black, Hispanic, and low-income students to level the playing field in SAT testing.

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The escalating prevalence of occupational burnout constitutes a global public health crisis, exacerbating the existing supply-demand disparity in mental healthcare provision. This paper investigates the transformative potential of Artificial Intelligence (AI) as an adjunctive and autonomous modality in the treatment of burnout, employing a dialectical framework to assess the tension between algorithmic scalability and clinical nuance. We analyze the utility of Natural Language Processing (NLP) for sentiment analysis and the emergence of Digital Phenotyping as a mechanism for objective behavioral quantification. Furthermore, we critically evaluate the efficacy of CBT-based conversational agents versus the indispensable nature of the human therapeutic alliance. The analysis reveals that while AI significantly lowers barriers to entry and reduces stigma, it introduces profound ethical paradoxes regarding surveillance, algorithmic bias, and the ”Black Box” of machine cognition. We conclude that the future of psychiatric care lies not in replacement but in Augmented Intelligence—a ”Human-in-the-Loop” (HITL) hybrid model that synthesizes computational precision with intersubjective empathy.

Abstract: This article advances EcoTechnoPolitics as a transformational conceptual and policy rec-ommendation framework for hybridizing digital–green twin transitions under conditions of planetary polycrises. It responds to growing concerns that dominant policy approaches by supranational institutions—including the EU, UN, OECD, World Bank Group, WEF, and G20—remain institutionally siloed, technologically reductionist, and insufficiently attentive to ecological constraints. Moving beyond the prevailing digital–green twin transitions paradigm, the article coins EcoTechnoPolitics around three hypotheses: the need for planetary thinking grounded in (i) anticipatory governance, (ii) hybridization, and (iii) a transformational agenda beyond cosmetic digital–green alignment. The research question asks how EcoTechnoPolitics can enable planetary thinking beyond digital–green twin transitions under ecological and technological constraints. Methodologically, the study triangulates (i) an interdisciplinary literature review with (ii) a place-based analysis of two socially cohesive city-regions—the Basque Country and Portland (Oregon)—and (iii) a macro-level policy analysis of supranational digital and green governance frameworks. The results show that, despite planetary rhetoric around sustainability and digitalization, prevailing policy architectures largely externalize ecological costs and consolidate technological power. Building on this analysis, the discussion formulates transformational policy recommendations. The conclusion argues that governing plan-etary-scale ecotechnopolitical systems requires embedding ecological responsibility within technological governance.

Abstract: Purpose This study aims to systematically analyze how Environmental, Social, and Governance (ESG) frameworks have been integrated into the design, operation, and valuation of office buildings. In particular, it explores the interplay between green certification systems, employee well-being, governance practices, digital ESG monitoring, and the financial performance of ESG-aligned office investments. Design/methodology/approach Using the PRISMA 2020 methodology, a systematic literature review was conducted on peer-reviewed journal articles published between 2020 and 2025. A title-based query on Lens.org yielded 547 articles, of which 325 met inclusion criteria after two rounds of screening. Thematic analysis was employed to identify five major conceptual clusters Findings The review confirms that green certifications (e.g., LEED, BREEAM, WELL) are increasingly occupant-centric but often fall short of delivering consistent environmental outcomes without robust post-occupancy evaluation. Social sustainability literature underscores the role of workspace design, nature integration, and mental health strategies in supporting employee well-being. ESG reporting and governance practices remain fragmented, with limited employee voice, weak accountability mechanisms, and underdeveloped mobility reporting. Smart office studies highlight the convergence of IoT, AI, and human-centered design, while financial analyses reveal positive valuation effects and rental premiums for ESG-certified buildings, particularly in office sectors. However, methodological gaps and uneven adoption persist across contexts and disciplines. Originality/value This study provides one of the first interdisciplinary syntheses of ESG literature specifically focused on office buildings, combining insights from architecture, real estate, organizational behavior, and digital innovation.

Abstract: Advances in generative AI have brought advanced tools to tax & legal practice, but with them comes AI hallucinations, which are fabricated citations, quotes, or facts that appear plausible but are entirely false. In 2023, a notable U.S. case (Mata v. Avianca) revealed this risk when attorneys, relying on ChatGPT for research, submitted a brief containing fictitious case law and were sanctioned as a result. This incident revealed substantial risks for the tax & legal profession. Increased AI use in tax & legal submissions and decision drafting subsequently led to numerous similar global incidents. By late 2025, a collection of various datasets logged nearly 800 cases of AI-related citation errors or hallucinations” in at least 25 countries, with a marked increase in 2025 alone. These cases span court filings by lawyers and pro se litigants, as well as orders drafted by judges or tribunals. This development necessitates an examination of professional responsibility and procedural fairness concerning AI-generated falsehoods. This article analyzes how courts and administrative bodies across jurisdictions have responded to AI-generated hallucinations in tax & legal submissions and decisions, and what these responses indicate regarding emerging verification standards under existing law. The analysis compares incidents from the United States, Canada, the United Kingdom, India, Israel, and other jurisdictions, focusing on the imposition or withholding of sanctions, the treatment of various actors (e.g., lawyers, self-represented parties, experts, judges), and the adaptation of tax & legal doctrines to this challenge.

Abstract: In today’s digitally connected world, social media has become central to culture, shaping how we interact, see ourselves, and feel. Platforms like Facebook, Instagram, and TikTok are promoted as ways to connect, but growing evidence shows they can also cause anxiety, social comparison, and emotional strain. Many studies explore these positive and negative effects, but fewer examine changes in academic discussion about social media and well-being over time. To address this issue, the present study employs BERTopic, a dynamic topic model, to analyze 7,254 journal articles indexed in the Web of Science between 2010 and 2025. The analysis identifies 110 distinct research topics and reveals that the most prominent themes converge around anxiety-related outcomes, social connection and support, as well as contextual and methodological developments such as COVID-19 communication and AI-based depression detection. Temporal trend analysis indicates a clear shift in scholarly focus. Research published between 2010 and 2016 adopted a relatively balanced perspective, addressing both the connective potential and the psychological risks associated with social media use. However, since 2017—coinciding with the rapid rise of visually oriented platforms—academic attention has increasingly centered on anxiety-related issues, particularly fear of missing out and body image concerns. By mapping the shift from connection to anxiety focus, the study shows how academic research tracks social change. The results also suggest that future research should explore platform-specific mechanisms, identify protective factors against digital stress, and contribute to the creation of healthier online spaces.

Abstract: This paper offers a comprehensive overview of academic research on sentiment analysis in urban built environments from 1999 to 2024. Based on data from the scientific database Scopus and drawing on bibliometric tools like Bibliometrix (R) and VOSviewer for performance analysis and scientific mapping, it identifies publication trends, key influential works, leading authors and institutions, funding sources, and thematic clusters. The final dataset comprises 871 English‐language documents authored by 2,068 researchers across 307 sources in 70 countries, with a total of 5,642 citations worldwide. The academic production increased after 2009, peaking in 2024. Keyword and network analyses highlight central themes (and methodological approaches?) to the study of sentiment analysis in urban built environments. These include social media platforms like Twitter/X/X, machine learning, Natural Language Processing, smart cities, and tourism. China, the USA, and India lead in publication output. Over the last twenty-five years, key publication outlets include the International Journal of Environmental Research and Public Health, Cities, and Lecture Notes in Computer Science, while the National Natural Science Foundation of China is the most common funder. The paper discusses how sentiment analysis can support urban planning and public health by linking environmental features to well-being and explores methodological emerging trends like deep learning, multimodal approaches, and context-aware models. Overall, it maps the intellectual landscape of the field and argues for future directions for human-centred, data-driven urban decision-making.

Abstract: Childhood and adolescence are critical periods for the development of Executive Functions (EF), which underpin self-control, planning, and social adaptation, and are often compromised in children growing up in psychosocially vulnerable contexts. This study examined the effects of STap2Go, a fully digital, strategy-based EF training, on EF performance and self-perceived maladjustment in 36 at-risk children and adolescents compared with 32 controls. Participants completed pre- and post-intervention assessments using the Neuropsychological Assessment Battery of Executive Functions (BANFE-3) and the Multifactorial Self-Evaluative Test for Child Adaptation (TAMAI). Results showed a significant effect of training on global EF and on General Maladjustment, with improvements only in the intervention group. These findings support the inclusion of scalable, avatar-guided EF stimulation programs such as STap2Go within social inclusion pathways for youth in vulnerable situations.

Abstract: Integrating excellent traditional Chinese culture into children's picture books not only enhances cultural identity but also promotes the comprehensive development of children's cognitive, emotional, and aesthetic abilities. This study analyzes the content of 120 children's picture books and conducts in-depth interviews with 15 preschool teachers to identify issues in the integration of traditional Chinese culture into these books, including themes, type adaptation, implementation pathways, and media forms. The study further explores the core contradictions in this integration: the misalignment between cultural perception and cognitive schemas, the imbalance between creative logic and educational efficacy, the systemic rupture between thematic fields and interconnected networks, and the overreach of media representation and meaning transformation. Based on these findings, four optimization pathways are proposed: (1) innovative mechanisms for repairing cultural symbols and replanting values, (2) dynamic adaptation between creative supply and cognitive demand, (3) restructuring of mechanisms for educational empowerment and collaborative consensus, and (4) system reengineering of media repair and modal coordination. These measures aim to achieve the deep inheritance of traditional Chinese culture in children's picture books and improve educational outcomes.

Abstract: AI-enabled fitness services collect continuous and sensitive data for monitoring and personalized feedback, which raises privacy and security concerns. Nevertheless, many users continue to engage with these services, suggesting a privacy–use tension. Using online survey data from 596 adults (age ≥ 18), this study examines AI fitness use from a privacy-satisficing perspective. We construct a Deviation index (standardized privacy concern minus standardized risk acceptance) and model high willingness to use AI fitness services with a parsimonious probability approach. Results indicate that continued use varies systematically across the Deviation spectrum. In logistic regression analyses, Deviation, perceived transparency and safety (Information Control Level, ICL), and privacy–convenience trade-off attitudes are associated with the likelihood of continued AI fitness use. Predicted probabilities vary gradually across the Deviation range. Overall, privacy concern and continued AI fitness use coexist in this sample, consistent with a bounded-rational privacy-satisficing interpretation.

Abstract: This paper proposes the Computable Structure of National Narrative (CSNN) framework, treating state-level political texts as engineering-oriented governance systems. Using President Xi Jinping's 2026 New Year Address as a case study, it constructs a multi-level variable and causal pathway model encompassing ‘governance input—transformation mechanism—governance output’. The research integrates computational content analysis, sentiment analysis, and semantic network analysis to transform the text into a reproducible variable system: independent variables encompass development/innovation, people's livelihoods, culture, discipline, and external governance narratives; mediating variables include policy perceptibility, emotional resonance, and governance credibility; dependent variables are governance legitimacy and social cohesion; external uncertainty is introduced as a moderating factor. Results reveal: national narratives exhibit stable functional paragraph sequencing; sentiment is not an end-stage effect of communication but a key mediator in generating governance legitimacy; governance legitimacy displays structural output characteristics, dependent on the convergence of multiple mediating pathways. This study contributes a computable, interpretable, and transferable toolchain for political narrative research, providing a reproducible empirical framework for cross-year, cross-national, and multimodal expansion.

Abstract: Adolescents with cognitive disabilities face unique developmental, social, and functional challenges that complicate their access to autonomy, education, and participation. Assistive technology (AT) has emerged as a powerful tool to support communication, learning, and daily functioning in this population. However, its deployment introduces complex ethical concerns. This narrative review critically examines the ethical considerations associated with AT use for adolescents with cognitive disabilities, focusing on five key themes: consent and decision-making, autonomy and independence, privacy and data protection, accessibility and usability, and equity in access and implementation.This review screened 50 documents, of which 20 were retained for full inclusion based on their relevance to ethical concerns in the use of assistive technology Key Themes in the Literature or adolescents with cognitive disabilities. Findings highlight the need for adolescent-centered approaches that respect evolving capacities, cultural contexts, and individual agency. Ethical AT implementation must move beyond procedural compliance to foster inclusive, responsive, and participatory practices. This review contributes a structured ethical framework specific to the use of assistive technology (AT) among adolescents with cognitive disabilities, an area that remains underexplored in current literature. While previous studies have discussed general ethical concerns related to AT or disability, few have integrated adolescent developmental theory, rights-based ethics, and practical considerations into a single, coherent review. By organizing ethical issues around five core themes consent and decision-making, autonomy, privacy, accessibility, and equity, this paper advances a more narrative review and adolescent-specific ethical lens for understanding AT implementation. It emphasizes adolescence as a unique developmental stage marked by emerging autonomy, evolving identity, and shifting capacities, all of which are critical to ethical decision-making but are often overlooked in existing research. The review concludes with recommendations for policy development, participatory research, and capacity-building among educators, developers, and caregivers. It calls for ethical reflection to be embedded not only in the design and deployment of AT, but also in training programs and institutional practices. As AT continues to evolve, ethical practices must evolve in tandem, ensuring that technological tools empower rather than marginalize adolescents with cognitive disabilities and that implementation is both developmentally appropriate and socially acceptable.

Abstract: Purpose: This study interrogates the paradox of employer-reported “labour shortages” in labour-abundant African economies. It advances the claim that shortage signals are partly institutional outputs: they arise when screening rules narrow the effective labour pool, rather than reflecting exogenous skill scarcity. Design/methodology/approach: Drawing on labour market segmentation, information economics, and critical institutionalism, we analyse 10,432 job advertisements scraped monthly (January 2024–June 2025) from leading portals in seven Anglophone African countries. A rigorously validated support-vector-machine classifier distinguishes explicit numeric age ceilings from implicit youth-coded cues to construct an Age-Coded Hiring Index (ACHI). We triangulate ACHI with employer-reported workforce-constraint indicators from the World Bank Enterprise Surveys and labour-underutilisation (LU4) from ILOSTAT, estimating fixed-effects and interaction models to test whether age-coded screening predicts shortage complaints most strongly where latent labour supply is greatest. Findings: Age-coded screening is pervasive in vacancy texts: approximately 15–20% of postings impose numeric age caps and a much larger share deploys implicit youth signals. Higher ACHI is robustly associated with stronger shortage complaints net of underutilisation and macro controls, and the relationship steepens under high labour slack, consistent with an institutional mechanism in which screening rules convert latent labour supply into perceived scarcity. Originality/value: Conceptually, the paper reframes “shortage” indicators as partially endogenous to screening rules and to employers’ definition of “suitability,” rather than treating them as market facts. Empirically, it introduces a replicable NLP-based measure of exclusionary screening from vacancy text, enabling cross-country tests of institutional scarcity dynamics in low- and middle-income contexts. Practical implications: The results imply that diagnostic and policy responses to “shortages” should not presume supply failure alone; they should also examine how recruitment criteria restrict the recognised labour pool and thereby shape shortage measurement itself.

Abstract: This paper consolidates our previous work and articulates Scheme C, a constitutional architecture designed to resolve deadlocks and instability in fragmented democracies by synthesising previous findings into a self-contained theoretical framework. The scheme's centrepiece is a game-based investiture rule that guarantees the appointment of a prime minister through a strategic nomination process, eliminating the risk of investiture-related collapse. Central to this system is also a bifurcated confidence structure -- assigning the prime minister either type I (majority) or type II (minority) status -- managed by a dynamic no-confidence mechanism. Stability is reinforced by a synchronised electoral rhythm and a Westminster-style dissolution mechanism that protects cohesive assemblies while resulting in contingent, quasi-midterm elections. To ensure continuity, a novel hybrid caretaker office bridges Westminster and Presidential traditions by automatically converting a departing prime minister into a tenure-secured, though authority-attenuated, caretaker. This "converted" logic is balanced by a presidential-style "acting" appointment mode for vacancies, ensuring administrative resilience throughout the electoral cycle. Ultimately, Scheme C provides a resilient architecture that ensures unyielding governmental functionality and rigorous legislative oversight regardless of the underlying electoral system or party landscape.

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Background/Objectives: Prosocial behaviors such as helping, sharing, and comforting constitute a core aspect of human sociality and emerge early in development. Understanding how early empathic responses are organized is central to current debates on the developmental foundations of prosociality, particularly beyond Western, educated, industrialized, rich, and democratic (WEIRD) populations. This study examined the developmental organization of early empathic responses and the contributions of age, sex, and socioeconomic context to variability in early prosocial behavior. Methods: Thirty-six Colombian children aged 14 to 30 months from three socioeconomic contexts (very low, low, and middle–high), including children from indigenous Wayuu communities, were observed during a simulated distress situation derived from the Échelle de Communication Sociale Précoce (ECSP). Empathic responses were coded using the expanded hierarchical classification proposed by Molina and Bulgarelli and summarized through an ordinal empathy score reflecting the highest level of empathic organization observed. Quantitative analyses were complemented by qualitative observations of interactional behavior. Results: Empathic response organization increased with age and was positively associated with overall socio-communicative development. No significant differences were observed according to sex or socioeconomic context. Qualitative analyses revealed a progressive organization of empathic responses, ranging from attention and discomfort to coordinated gestural and symbolic prosocial behaviors, consistent across sociocultural settings. Conclusions: Early empathy appears as an interactionally organized and developmentally robust foundation of prosocial behavior during the first three years of life. These findings contribute to ongoing discussions on the early bases of human prosociality and its expression across diverse sociocultural contexts.

Abstract: This paper examines the short-run transmission of monetary policy shocks to bank credit granted to the non-financial corporate sector in Morocco, a bank-based emerging economy. While conventional monetary theory emphasizes the interest rate channel, growing empirical evidence suggests that monetary transmission is increasingly conditioned by banks’ balance-sheet constraints and credit risk considerations. The central question addressed is whether policy-rate shocks translate into short-run credit expansion or are instead absorbed through alternative banking adjustment mechanisms. The empirical analysis relies on monthly macro-financial data over the period 2014–2024 and employs a reduced-form Vector Autoregressive (VAR) framework. Impulse response functions, forecast error variance decompositions, and Granger causality tests are used to assess the dy-namic interactions between the policy rate, non-financial corporate credit, banks’ sovereign asset holdings, and credit risk conditions.The results show that monetary policy shocks generate weak, short-lived, and economically negligible responses in non-financial corporate credit, with no evidence of sustained credit expansion following policy-rate changes. By contrast, monetary impulses are associated with systematic balance-sheet reallocation toward sovereign assets and with more pronounced, though transitory, movements in credit risk indicators. Variance decompositions further reveal that short-run credit dynamics are overwhelmingly driven by internal banking and risk-related factors, while monetary policy shocks explain only a marginal share of credit fluctuations. Overall, the findings indicate that short-run monetary transmission in Morocco operates predominantly through risk-sensitive balance-sheet adjustments rather than through direct quantity-based credit responses, thereby reframing the interpretation of weak credit reactions to monetary policy in bank-based emerging economies.

Abstract: Parent-child interaction is a foundational component of language development. This study examined parent-child interaction in deaf and hard-of-hearing children 6 or 9 months after they received hearing aids or cochlear implants. Expressive, receptive, and overall language skill were probed 9 to 18 months later. Thirteen DHH children and their parents participated in a videorecorded, semi-structured play interaction. Items from an adapted version of the Joint Engagement Rating Inventory were used evaluate parent-child interactions (i.e., fluency and con-nectedness, shared routines and rituals, child joint engagement, and parental sensitivity). Language skills were assessed using the Preschool Language Scales-5th (Zimmerman et al., 2011). Results indicate statistically significant re-lationships between child-parent joint engagement and expressive (p = .004), receptive language (p = .043), and total language scores (p = .007). The shared routines and rituals item was significantly related to expressive language (p = .037) and approached statistical significance with total language (p = .076) but was not significantly related to receptive language. The fluency and connectedness item was significantly related expressive language (p = .008) and total language (p = .028) but did not reach statistical significance with receptive language (p = .077). A quantitative measure of parental language input (i.e., words per minute) was not significantly related to any language variables.

Abstract: Serious video games are digital games designed with purposes beyond entertainment, commonly used to support education, training, health interventions, and behaviour change. Within cyberpsychology, they offer controlled interactive environments for examining how digital technologies influence cognition, emotion, motivation, and behaviour. This entry outlines the historical development of serious video games, from early non-digital simulations to contemporary applications incorporating online platforms, artificial intelligence, and immersive technologies. It summarises key psychological theories underpinning their design, including self-determination theory, flow theory, learning theories, and social and emotional frameworks. The entry reviews major application areas such as education, healthcare, professional training, cybersecurity, and environmental education, alongside evidence regarding their effectiveness. Ethical, cultural, and accessibility considerations are discussed, particularly in relation to inclusivity, data privacy, and manipulative design. The entry concludes by highlighting future directions for research and development, emphasising the need for longitudinal evaluation, ethical design, and inclusive approaches as serious video games continue to evolve.