Search Results (3,550)

The ability to distinguish speakers based on speech signals is a fundamental human ability essential for social communication, yet the neural mechanisms underlying this process remain poorly understood. The present study investigated the temporal dynamics of neural activity during speaker discrimination using event-related potentials (ERPs). Twenty-four native Mandarin speakers completed two tasks: an oddball session, in which participants passively listened to speech stimuli from standard and deviant speakers, and a voice line-up session, in which participants explicitly judged whether two consecutively presented speech stimuli were produced by the same or different speakers. In the oddball session, deviant stimuli elicited robust mismatch negativity (MMN) and P3a components compared to standard stimuli, indicating pre-attentive detection of speaker changes. In the voice line-up session, the different-speaker condition elicited more negative N1 and N400 amplitudes and more positive P2 amplitudes than the same-speaker condition, suggesting that speaker discrimination engages both early sensory processing and later cognitive integration. No significant differences were observed between the P300 and P600 components. These findings reveal distinct neural signatures associated with speaker-related processing across multiple temporal stages, with the MMN and P3a reflecting automatic detection of speaker-related acoustic changes, and the N1, P2, and N400 reflecting explicit speaker discrimination processes. While the present paradigm cannot fully isolate identity-level representations from low-level acoustic discrimination, the results provide novel ERP evidence on the temporal architecture engaged when listeners process speaker-specific information, contributing to a deeper understanding of speaker-related processing in the broader context of speaker identification research. Full article

This study examines how aquarium visitors’ perceived restorative environmental attributes influence leisure life satisfaction, positive emotional experience, and visit intention. Drawing on Attention Restoration Theory, aquariums are conceptualized not merely as indoor exhibition facilities but as restorative indoor blue space leisure settings. Using survey data from 452 Korean adults who had visited major aquariums within the previous 12 months, this study employed structural equation modeling and multi-group analysis. The results show that being away, fascination, and compatibility positively affected leisure life satisfaction, while fascination and compatibility significantly enhanced positive emotional experience. Both leisure life satisfaction and positive emotional experience were found to increase visit intention. Multi-group analysis revealed a significant difference only in the relationship between compatibility and positive emotional experience. Specifically, compatibility had a stronger effect on positive emotional experience among repeat visitors. In this study, Attention Restoration Theory is extended to aquarium-based indoor blue space settings, and restorative environmental perceptions are shown to influence and shape visitor responses through both cognitive and affective pathways. Although the outcome variable primarily captures visitors’ intention to revisit and recommend aquariums rather than direct pro-environmental behavior, the findings offer implications for sustainable marine leisure by showing how restorative and emotionally meaningful aquarium experiences can support conservation-oriented communication and longer-term visitor engagement. Practically, the findings suggest that aquarium managers should move beyond short-term price-oriented strategies and design restorative experiences that enhance fascination and compatibility, thereby strengthening emotionally meaningful and longer-term visitor engagement in sustainability-relevant leisure contexts. Full article

Visual working memory (VWM) declines with age and has been explained by multiple mechanisms, including reduced precision, capacity limitations, binding deficits, and altered attentional control. However, these accounts are typically framed within a unitary processing architecture and do not fully capture the distributed nature of visual cognition. This review advances a coordination-based framework in which age-related differences in VWM are understood as partly reflecting reduced efficiency in integrating and regulating representations across the two cerebral hemispheres. Behavioural, electrophysiological, and neurophysiological evidence is synthesised to characterise the role of inter-hemispheric communication in VWM. Age-related changes in corpus callosum structure and function are then considered in relation to these coordination processes. Deficits in precision, capacity, binding, and attention are proposed to reflect different behavioural expressions of a common limitation in coordinating distributed representations, providing a unifying account of multiple behavioural signatures, particularly under conditions that place high demands on inter-hemispheric coordination. The framework offers a mechanistic explanation of the task-dependent nature of ageing effects and generates testable predictions for future research, highlighting the role of network-level coordination mechanisms in cognitive ageing. Full article

The social–ecological nexus (SEN) offers a framework to capture the complex and dynamic interactions and interdependencies between human communities and the natural systems that support them. This study analyzed the SENs within a village tank cascade system (VTCS), a social–ecological system (SES) located in the dry zone of Sri Lanka. The study adopted a participatory approach, combining fuzzy cognitive mapping (FCM) to determine key SES properties of the VTCS. The FCM process identified 49 nodes (elements) and 434 edges (connections) within the study landscape that contribute to system performance. Network graphs were generated using centrality metrics—degree, betweenness, and eigenvector centrality—to identify the most influential nodes and edges contributing to system sustainability and productivity. The study identified nine nodes as the most influential elements in the SEN which are critical for balancing trade-offs between sustainability and productivity in the VTCS. Three distinct clusters of elements influencing sustainability and productivity emerged from the SEN graph: (i) ecological cluster, (ii) social–ecological cluster, and (iii) social cluster. Understanding the role of SES elements and their positions in the SEN is crucial for identifying gaps within the system and informing tailored management interventions. These findings offer a theoretical basis for optimizing sustainability strategies aimed at enhancing the overall productivity and resilience of SES. Consequently, this approach exposes the complexities of the SEN, making it widely applicable to similar SESs globally. Full article

Social media platforms increasingly function as informal education systems for programming learning, yet the systemic support structures these environments provide remain poorly understood. We analyzed 40,004 comments from programming tutorial videos on a major social media platform (2016–April 2025) to identify patterns of learner support needs at scale. Using BERTopic, we identified twelve discussion themes. We then consolidated these themes into a learner-needs typology based on their dominant support functions: instructional-oriented needs, operational support needs, and knowledge-constructionneeds. We mapped this typology onto the Community of Inquiry (CoI) framework to assess its explanatory coverage. This mapping revealed a critical systemic gap. Operational support needs, covering environment configuration, tool integration, dependency management, and technical troubleshooting, constituted the largest category (44.53% of theme-level discourse), exceeding both knowledge-construction needs (28.42%) and instructional-oriented needs (26.95%). Learners repeatedly described these infrastructure-level challenges as disrupting their attempts to engage with content, execute code for testing ideas, and coordinate with peers, yet these operational readiness needs are not fully specified by CoI’s traditional presences. Social presence did not emerge as a standalone theme at the topic-modeling level; rather, social cues were often embedded within task-oriented troubleshooting. Based on these findings, we propose Technical Presence as a context-sensitive extension to the CoI framework, defined as the extent to which a learning community enables operational readiness through accessible infrastructure support and collaborative troubleshooting. As an infrastructural support condition, Technical Presence supports operational readiness within tool-dependent, practice-based learning: when learners report infrastructure failure, the conditions for enacting instructional design, cognitive inquiry, and peer collaboration are correspondingly weakened. These findings carry implications for content creators, platform developers, and education system designers seeking to strengthen the infrastructural foundations of technology-enhanced learning at scale. Full article

Smartphone-based augmented reality (AR) exercise systems show promise for supporting physical activity among older adults, yet the effect of presentation-layer information density on motor performance and cognitive workload in this population remains poorly understood. This study investigated how varying feedback density affects exercise correctness, error correction latency, and perceived workload in community-dwelling older adults (N = 60, aged 65–74 years) performing marching in place under three conditions: MIN, MOD, and RICH. The movement detection algorithm and binary correctness signal C(t) were held invariant across conditions, isolating presentation-layer density as the sole manipulated variable. One-way repeated-measures ANOVA revealed significant density effects on all three outcomes. MOD produced the highest exercise correctness (M = 74.72%), shortest error correction latency (M = 2.45 s), and lowest perceived workload (M = 41.40); RICH yielded pronounced degradation across all measures. These findings provide preliminary empirical evidence consistent with a Capacity-Relative Density Equilibrium (CRDE) perspective, a conceptual framework that proposes performance as a zone-structured function of the demand-to-capacity ratio (D/K). The framework remains tentative and requires further empirical operationalization due to the lack of a direct measure of cognitive capacity (K). From this perspective, we identify three potential design principles, actionable sufficiency, density threshold, and dual-task alignment, as practical heuristics for mobile AR systems targeting older adult populations. Full article

Background and Objectives: Artificial intelligence (AI) is increasingly integrated into healthcare management and pharmaceutical marketing workflows, yet determinants of AI adoption intention among non-clinical professionals remain under-studied in Central and Eastern Europe. This cross-sectional study quantified AI adoption intention (AAI) across three professional groups and examined its organizational, cognitive, attitudinal, and regulatory correlates. Methods: We surveyed 127 Romanian professionals (43 hospital administrators, 42 pharmaceutical marketing professionals, 42 community pharmacy managers) using a 46-item structured instrument. The instrument combined items adapted from UTAUT/TAM and organizational-readiness measures with study-specific AI-marketing, AI-literacy, and regulatory-literacy items; Analyses included ANOVA with Tukey HSD, Spearman correlations, age-adjusted OLS regression with HC3 robust standard errors, bootstrap indirect-effect analysis, moderation, exploratory k-means clustering, and exploratory logistic/ROC analysis. Results: AAI differed across groups: pharmaceutical marketing 4.33 ± 0.50, hospital administrators 3.39 ± 0.47, and pharmacy managers 2.88 ± 0.54; all pairwise Tukey contrasts p < 0.001. In the multivariable model (R² = 0.833)—interpreted cautiously because conceptually related adoption constructs may overlap despite acceptable collinearity diagnostics—perceived usefulness, organizational readiness, and perceived ease of use were the strongest associated factors, while data governance concern was the main negative correlate. Perceived usefulness statistically accounted for 61.7% of the AI literacy–AAI indirect association, and regulatory literacy moderated the AI literacy–AAI association. An exploratory age-adjusted logistic model showed high within-sample discrimination for top-tertile AAI but should be interpreted as convergent validity among survey constructs rather than as a validated screening tool. Conclusions: AI adoption intention in Romanian medical management and pharmaceutical marketing is associated mainly with perceived usefulness and organizational readiness, tempered by data governance concern and regulatory knowledge. Longitudinal, multi-site, real-world implementation studies with external validation are needed. Full article

The shift to circular agrosystems necessitates using new ideas like sustainable biochar, which provides many eco-beneficial attributes like enhancing soil fertility, storing atmospheric carbon dioxide, and retaining soil moisture. However, there is still a small number of farmers worldwide (particularly those located in low-income countries) adopting biochar. Accordingly, this research is focused primarily on determining how factors affecting behavior will influence the decision of wheat producers in Marvdasht County, in Iran’s Fars Province, to use biochar as a circular technology for farming. The study will focus on addressing issues related to environmental challenges (e.g., degradation of soil and drought) through the implementation of resource-efficient, sustainable agricultural technologies. The intent of this paper was to research the behavioral characteristics associated with wheat farmers who choose to use biochar in the city of Marvdasht, Fars Region, Iran, using a new Theory of Planned Behavior (TPB). The model is theoretically enriched through the inclusion of personal norms and connectedness to the land, allowing for a more comprehensive understanding of pro-environmental decision-making. Data was collected from a total of 386 wheat farmers through the use of a structured survey. The data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with the software Smart-PLS 3.0. The results reveal that attitude (β = 0.342, p < 0.001) and personal norms (β = 0.278, p < 0.001) are the strongest predictors of behavioral intention, while perceived behavioral control showed a weaker but significant effect (β = 0.178, p = 0.049). Subjective norms do not have a significant direct effect (β = 0.115, p = 0.199) but significantly influence intention indirectly through personal norms (β = 0.100, p < 0.001). Furthermore, connectedness to the land strongly affects personal norms (β = 0.420, p < 0.001) and exerts a significant indirect effect on intention (β = 0.117, p < 0.001), highlighting the importance of emotional attachment to land. The findings are significant because they demonstrated that farmers’ biochar adoption decisions are shaped not only by rational evaluations but also by moral obligations and emotional relationships with land. This study makes significant theoretical contributions by extending TPB with moral and relational constructs and empirically demonstrating their mediating roles in agricultural innovation adoption. The novelty of this study lies in integrating personal norms and connectedness to the land into the TPB framework to explain biochar adoption behavior within the context of circular agriculture in a developing country. Practically, the findings provide evidence-based insights for designing policies that integrate cognitive, ethical, and emotional drivers to promote biochar adoption and advance circular agriculture. Specifically, policymakers and extension agencies should prioritize behavioral-level strategies such as awareness campaigns, farmer training programs, and community-based initiatives that strengthen positive attitudes, environmental responsibility, and farmers’ emotional connection to land in order to enhance biochar adoption. Full article

Twice-exceptional autistic learners (2e-ASL), those who meet criteria for autism and giftedness, are vulnerable to under-identification and inadequate support. Although interest is growing, evidence for interventions remains limited. This systematic review synthesised intervention studies involving 2e-ASL (4–18 years), including interventions designed specifically for 2e-ASL (2e-Specific) and interventions for Autistic learners that included 2e-ASL (2e-Inclusive). A PRISMA-guided search (2000–2025) identified 51 eligible studies. Forty-eight were 2e-Inclusive; only three were 2e-Specific. In the 2e-inclusive literature, 2e-ASL participants were rarely distinguished analytically and were typically subsumed under broad labels with very wide IQ ranges (often spanning ≥ 50 points within a single sample). Social (42.94%) and emotional (45.09%) outcomes were most frequently targeted, followed by intellectual outcomes (17.64%); behavioural (13.72%), academic (5.88%), language (3.92%), and sensory/perceptual (3.92%) domains were addressed far less often. Interventions were predominantly delivered in controlled settings like clinical or university settings (56.86%), with fewer school-based (35.29%) and limited home (3.92%) or community (3.92%) implementations. Effective programmes, regardless of domain, were consistently structured, explicit, and scaffolded, using visual supports, modelling, guided practice, and opportunities for rehearsed generalisation. 2e-Specific interventions were strength-based and interest-aligned, supporting creativity, advanced reasoning, and challenging, meaningful tasks; these were associated with gains in engagement, motivation, and behavioural regulation as well as targeted skills. The findings suggest that, although the evidence base is growing, it remains fragmented. The review highlights the need for clearer definitions of 2e-ASL, more consistent reporting of learners’ cognitive profiles, and a stronger focus on real-world application to strengthen the evidence base. Interventions that adopt strength-based, structured, and scalable approaches appear particularly promising for supporting meaningful, generalisable, and sustained outcomes for 2e-ASL. Full article

Background/Objectives: To clarify the cognitive level and selection behavior of the exercising population regarding sports nutrition foods, as well as their relationship with athletic performance, this narrative review examined the literature published from 2001 to 2025. Methods: CNKI, Wanfang Data, PubMed, and ScienceDirect were searched for studies published between 2001 and 2025 using keywords: sports nutrition foods, exercise intensity, public cognition, and food development. Studies addressing ingredient functionality, exercise-related nutritional requirements, public cognition, or product development were included. After screening, 45 full-text articles and four authoritative documents were incorporated into the synthesis. Results: The synthesis reveals a persistent disconnect between the cognition and utilization of sports nutrition foods. Common misconceptions include inappropriate supplementation timing, indiscriminate product selection, and imprecise dosage control, while structural constraints on the industrial side—product homogenization, inadequate standardization, and imprecise product development—remain significant barriers. Conclusions: To bridge this gap, we recommend establishing a three-in-one public education framework that integrates professional education, mass media communication, and regulatory oversight, and we encourage enterprises to transition toward clean labeling, precision nutrition, and green processing. This review provides an evidence-based reference for advancing the development of sports nutrition foods. Full article

ESG-oriented marketing and its influence on consumers’ green consumption behavior have become important issues in sustainable development research, yet the emotional and cognitive mechanisms underlying this relationship remain insufficiently examined. Drawing on an integrated emotion–cognition–behavior perspective, this study focuses on Chinese Generation Z consumers and develops a model linking Perceived ESG Communication, Eco-Anxiety, Perceived Consumer Effectiveness, and Green Action Intention. Based on 400 valid survey responses, structural equation modeling and PROCESS 4.1 were employed to examine the structural relationships, mediation effects, and serial mediation pathway among the focal constructs. The results show that Perceived ESG Communication is positively associated with Green Action Intention both directly and indirectly. Specifically, Eco-Anxiety and Perceived Consumer Effectiveness each serve as significant mediators in the relationship between Perceived ESG Communication and Green Action Intention. Further analysis indicates that Eco-Anxiety is positively associated with Perceived Consumer Effectiveness, forming a significant serial mediation pathway through which ESG-related communication is linked to green action intention. These findings suggest that ESG-oriented marketing may influence Generation Z consumers not only by transmitting sustainability-related information, but also by activating environmental concern and strengthening consumers’ perceived effectiveness in contributing to sustainability outcomes. The study contributes to ESG communication and sustainable consumption research by clarifying the affective and cognitive mechanisms through which perceived ESG messages become behaviorally meaningful for young consumers. It also provides practical implications for designing ESG-oriented marketing strategies that combine credible responsibility communication with clear consumer action pathways. Full article

Background and Objectives: The neurocognitive sequelae of COVID-19 have attracted attention as part of post-COVID condition (PCC), yet standardized tools for screening and quantifying PCC-related cognitive impairment remain scarce. The present study aimed to develop and validate the Screening for Neurocognitive Abilities Post-COVID (SNAP-COVID), a self-report questionnaire designed to capture current symptom burden and perceived changes in cognitive functioning relative to pre-COVID status in a Greek-speaking sample. Materials and Methods: Data collection occurred in three phases between August 2024 and February 2025. Dataset A (N = 27) was used for test–retest reliability. Dataset B (N = 300) was used for exploratory factor analysis (EFA), reliability testing, and convergent validity analyses with the Brain Fog Scale (BFS). Dataset C (N = 317) was used for independent validation through confirmatory factor analysis (CFA). Results: Initial EFA of the 30-item SNAP-COVID scale suggested a four-factor model, yet further item refinement yielded a robust three-factor, 24-item solution: (1) General Cognitive Functions (17 items, α = 0.948), (2) Sensory Hypersensitivity (4 items, α = 0.829), and (3) Language and Communication (3 items, α = 0.950). The total scale demonstrated excellent internal consistency (α = 0.95). Convergent validity was evident by significant correlations between SNAP impact scores and BFS scores (r = −0.442, p < 0.001). CFA confirmed the three-factor structure with acceptable fit indices (χ²(249) = 677.29, p < 0.001; CFI = 0.882; TLI = 0.869; RMSEA = 0.074; SRMR = 0.032). Conclusions: The SNAP-COVID scale is a reliable and valid instrument. Its multidimensional structure captures global and domain-specific difficulties, addressing a critical gap in post-infectious cognitive assessment. Full article

Prior research suggests that health messages can affect men and women differently, yet these differences and their underlying mechanisms remain insufficiently understood. Based on the premise that many health messages are implicitly gendered, this randomized controlled experiment (N = 1116), conducted in a high-risk real-world context, investigates the effectiveness of implicitly gendered messages on psychosocial determinants of protective behaviors, including cognitive, attitudinal, and motivational dimensions, as well as behavioral intentions. Twelve public health messages, derived from commonly used communications and theoretical frameworks, were first evaluated according to their perceived masculinity or femininity, and their effects were then experimentally tested across participants. Results indicate that messages strongly aligned with gender stereotypes produce the largest differences in effectiveness between men and women. For example, authority-based messages (a masculine stereotype) are more effective among men, whereas messages emphasizing social reciprocity or concern for others (feminine stereotypes) are more effective among women. These effects emerge only when recipients are likely to engage in systematic processing, particularly when their political stance diverges from that of the message source (the French government). The results support the gendered message–recipient gender congruence hypothesis, rather than alternative explanations based on gender-specific processing styles, with substantial practical implications. Full article

Background/Objectives: Hearing loss and dementia are highly prevalent conditions in older adults and represent a growing public health challenge. Over the past decade, a substantial body of epidemiological evidence has demonstrated a consistent association between age-related hearing loss and cognitive dysfunction, including incident dementia. However, the nature of this relationship remains incompletely understood. Methods: This narrative review provides a structured overview of current evidence, focusing on epidemiological findings, mechanistic pathways, and clinical implications. Hearing loss has been associated with both accelerated cognitive decline and increased dementia risk, with a clear severity–impact relationship. Results: Several interacting mechanisms have been proposed, including increased cognitive load, structural and functional brain changes, social isolation, and shared vascular and metabolic risk factors. Emerging concepts such as the “auditory brain” and central auditory dysfunction further suggest that hearing impairment may also represent an early manifestation of neurodegenerative processes. Intervention studies have yielded mixed results. While hearing rehabilitation improves communication and quality of life, randomized evidence has not consistently demonstrated a reduction in cognitive decline in the general population, but potential benefits may exist in higher-risk subgroups. Increasing attention has been directed toward the role of neuroplasticity, with evidence suggesting that delayed intervention may limit the effectiveness of rehabilitation due to long-standing auditory deprivation. Conclusions: Taken together, current evidence suggests that hearing loss may represent both a potentially modifiable risk factor and an early marker of cognitive decline. Early identification and timely management of hearing impairment may therefore play an important role in maintaining cognitive and brain health and improving quality of life in older adults. Full article

Background/Objectives: To analyze the determinants of frailty among older adults residing in the Peruvian Amazon, focusing on four complementary frailty-related outcomes. Methods: A cross-sectional study was conducted using secondary data from the Amazon frail study. Four multivariable Poisson regression models were specified. Associations were estimated using prevalence ratios (PRs) with their corresponding 95% confidence intervals (95% CIs), employing robust variance estimation to account for potential heteroskedasticity. Results: The sample included 429 older adults (≥60 years), predominantly female (64.0%), with most participants aged 60–79 years (85.8%). The prevalence of the main variables of interest was: dynapenia (51.5%), low physical performance (32.2%), social frailty (66.4%), and frailty according to the Fried phenotype (26.3%). In adjusted models, altered muscle mass showed the strongest association with dynapenia (PR = 2.08, 95%CI = 1.74–2.50). Likewise, functional dependence and social frailty were significantly associated with low physical performance (PR = 1.65 and PR = 1.57, respectively). A higher potential support relationship (upper tertile) was associated with a lower prevalence of social frailty (PR = 0.56, 95%CI = 0.41–0.88), whereas low physical performance was strongly associated with frailty defined by the Fried phenotype (PR = 3.71, 95%CI = 2.60–5.34). Conclusions: Frailty among older adults in the Peruvian Amazon is highly prevalent and characterized by a distinctly multidimensional nature. It is associated with muscular, functional, cognitive, and social factors that may reflect interrelated vulnerabilities at both the individual and community levels. Full article