Search Results (1,391)

The Nash equilibrium is a central concept in game theory, widely used across economics, social sciences, computer science, and artificial intelligence. However, computing Nash equilibria, especially in multi-player games, is a complex and computationally challenging task. Among the various types of Nash equilibria, the unique pure-strategy Nash equilibrium payoffs possess particularly desirable properties that make them suitable for deeper analysis and application. In this paper, we propose a first-order logical framework for three-player finite games, inspired by the notion of Pareto optimality, to identify a class of games with unique pure-strategy Nash equilibrium payoffs. By utilizing a SAT solver and the finite verifiability of ternary clauses, we automatically discover several families of three-player games that exhibit unique pure-strategy Nash equilibrium payoffs. This approach provides new insights into the computational aspects of game theory and offers an automated method for discovering novel game-theoretic structures. Full article

Background: “Healthy Life Longevity” (a latent variable) is defined as the number of survival days, along with recommended subjective health and long-term care needs. This study aimed to clarify the structural relationships among several related factors. Methods: In September 2001, a postal survey using a self-administered questionnaire was conducted among 16,462 elderly residents of Tokyo. In a cohort study, 8162 individuals with confirmed survival after six years were examined. We analyzed data to evaluate the need for long-term care three years after the initial survey. Additionally, the number of days survived was calculated from the third year after the initial survey. Covariance structure analysis was used to explore the structural relationships. Results: The direct effects of lifestyle habits, including a healthy diet, dental care rather than physician care, and socioeconomic factors, were minimal in improving “Healthy Life Longevity.” However, a structural relationship was established: desirable lifestyles, including diet and dental care, were selected based on socioeconomic status, thereby influencing mental, physical, and social health and reducing disease incidence. This relationship ultimately enhanced “Healthy Life Longevity.” Socioeconomic factors were identified as confounders in the association between preferred lifestyle choices, including diet, and Healthy Life Longevity. The determination coefficient of “Healthy Life Longevity” is 83%. Conclusions: Although healthy longevity can be achieved by improving mental, physical, and social health, and reducing disease burden, the relevant structure is shaped by socioeconomic status. Additionally, socioeconomic status is associated with healthy longevity by facilitating the choice of a preferred lifestyle, including diet, and the selection of a dentist. Future randomized intervention studies focused on socioeconomic status should explore ways to promote healthy longevity. Full article

Empathic behavior is increasingly incorporated into socially assistive robots, yet little is known about how older adults’ personality-based self-regulatory processes shape responses to such designs. The present study examined a recognition-based “mirror effect” framework of narcissistic self-regulation, referring to the ways individuals maintain a valued self-image through social feedback and acknowledgment. We focused on two core dimensions: narcissistic admiration, characterized by self-promotion and the pursuit of affirmation, and narcissistic rivalry, characterized by defensiveness, antagonism, and sensitivity to threat. Community-dwelling older adults (N = 527; M_age = 72.73) were randomly assigned to view a video of a socially assistive robot interacting in either an empathic or a cold manner. Participants reported their perceived recognition by the robot, defined as the subjective experience of feeling seen, acknowledged, and valued, as well as multiple robot evaluations (anthropomorphism, likability, perceived intelligence, safety, and intention to use). At the mean level, empathic robot behavior increased perceived recognition, anthropomorphism, and likability but did not improve perceived intelligence, safety, or intention to use. Conditional process analyses revealed that narcissistic admiration was positively associated with perceived recognition, which in turn predicted more favorable robot evaluations, regardless of robot behavior. In contrast, narcissistic rivalry showed a behavior-dependent pattern: rivalry was associated with reduced perceived recognition and less favorable evaluations primarily in the empathic condition, whereas this association reversed in the cold condition. Importantly, once perceived recognition and narcissistic traits were accounted for, the cold robot was evaluated as more intelligent, safer, and more desirable to use than the empathic robot. Studying these processes in older adults is theoretically and practically significant, as later life is marked by shifts in social roles, autonomy concerns, and sensitivity to interpersonal evaluation, which may alter how empathic technologies are experienced. Together, the findings identify perceived recognition as a central psychological mechanism linking personality and robot design and suggest that greater robotic empathy is not universally beneficial, particularly for users high in rivalry-related threat sensitivity. Full article

Efficacy beliefs influence individuals’ thinking and academic outcomes. Indeed, a growing body of literature has identified self-efficacy (SE) as a predictor of a range of favourable outcomes and a buffer against the likelihood of less desirable ones. The evidence linking high levels of SE to positive outcomes has spurred interest in understanding how such beliefs are developed and sustained, particularly via the theorised sources of efficacy information: mastery experience, vicarious experience, social persuasion and physiological state. However, while most research on the sources of mathematics SE is quantitative, no prior review has systematically examined the qualitative literature. This review analyses eight qualitative or mixed-methods studies on these sources in primary and secondary students. It demonstrates that qualitative data illuminate how SE-relevant information is individually interpreted and how even a single encouraging comment can have a lasting influence. The source-specific findings indicate that the development of mathematics SE is less about isolated experiences and more about how those experiences are socially mediated, interpreted, and emotionally supported—most notably through teachers’ practices and relational environments. In addition, five broader cross-source insights are discussed following a critical examination of how future research can build on the strengths of existing qualitative studies. Full article

The rapid adoption of generative artificial intelligence (AI) in higher education has intensified a pedagogical dilemma: while AI tools can increase immediate classroom engagement, they do not necessarily foster the self-regulated learning (SRL) capacities required for ethical and reflective professional practice, particularly in human-service fields. In this two-time-point, pre-post cohort-level (repeated cross-sectional) evaluation, we examined a six-week AI-integrated curriculum incorporating explicit SRL scaffolding among social work undergraduates at a Taiwanese university (pre-test N = 37; post-test N = 35). Because the surveys were administered anonymously and individual responses could not be linked across time, pre-post comparisons were conducted at the cohort level using independent samples. The participating students completed the AI-Enhanced Learning Attitude Scale (AILAS); this is a 30-item instrument grounded in the Technology Acceptance Model, Attitude Theory and SRL frameworks, assessing six dimensions of AI-related learning attitudes. Prior pilot evidence suggested an engagement regulation gap, characterized by relatively strong learning process engagement but weaker learning planning and learning habits. Accordingly, the curriculum incorporated weekly goal-setting activities, structured reflection tasks, peer accountability mechanisms, explicit instructor modeling of SRL strategies and simple progress tracking tools. The conducted psychometric analyses demonstrated excellent internal consistency for the total scale at the post-test stage (Cronbach’s α = 0.95). The independent-samples t-tests indicated that, at the post-test stage, the cohorts reported higher mean scores across most dimensions, with the largest cohort-level differences in Learning Habits (Cohen’s d = 0.75, p = 0.003) and Learning Process (Cohen’s d = 0.79, p = 0.002). After Bonferroni adjustment, improvements in the Learning Desire, Learning Habits and Learning Process dimensions and the Overall Attitude scores remained statistically robust. In contrast, the Learning Planning dimension demonstrated only marginal improvement (d = 0.46, p = 0.064), suggesting that higher-order planning skills may require longer or more sustained instructional support. No statistically significant gender differences were identified at the post-test stage. Taken together, the findings presented in this study offer preliminary, design-consistent evidence that SRL-oriented pedagogical scaffolding, rather than AI technology itself, may help narrow the engagement regulation gap, while the consolidation of autonomous planning capacities remains an ongoing instructional challenge. Full article

Background and Objectives: Behçet’s disease (BD) is a multisystem inflammatory disorder with significant physical, psychological, and social burdens. However, patient-reported outcomes and subjective symptom experiences remain under-recognized in clinical practice. This study aimed to provide a patient-centric analysis of the disease burden, treatment challenges, and unmet needs in BD. Materials and Methods: A multinational cross-sectional study was conducted using a structured questionnaire among 528 BD patients recruited from online support groups and a specialized clinic. The questionnaire gathered information about participants’ backgrounds, medical histories, how symptoms affected them, psychological and social factors, side effects of treatments, and their suggestions for better care. Data were analyzed descriptively. Results: The mean age of the participants was 41.4 years, and 69.3% were male. The most common symptoms that significantly affected daily life were severe fatigue (82.8%), joint pain and swelling (79.0%), and neurological issues (74.1%). Nearly half of patients perceived that fatigue (49.1%) and neurological symptoms (45.1%) were underestimated by healthcare providers. Psychological distress was prevalent, with 74.1% of participants reporting either depression or anxiety. Side effects related to treatment were frequently encountered (56.3%), resulting in treatment discontinuation for 53.4% of the individuals. The main unmet needs identified were fatigue reduction (59.1%), pain management (43.0%), and the minimization of side effects (59.1%). Furthermore, patients expressed a desire for enhanced communication (62.9%), validation of their unobserved symptoms (74.1%), and comprehensive disease education (67.6%). Conclusions: BD imposes a profound multidimensional burden, with a significant disconnect between patient experiences and their perception of clinical recognition. Fatigue, pain, psychological distress, and treatment-related challenges contribute substantially to unmet needs. A patient-centered approach emphasizing communication, symptom validation, and holistic support is essential to improving care and quality of life in BD. Full article

Women with intellectual disabilities (IDs) face persistent health inequities, particularly in preventive services such as breast cancer screening, where participation rates remain disproportionately low. These disparities contribute to higher mortality and poorer survivorship outcomes, often linked to later-stage diagnoses. To better understand these challenges and inform the development of inclusive screening programs, this qualitative study conducted in Austria explored barriers, facilitators, and needs related to breast cancer screening from the dual perspectives of 17 women with mild-to-moderate IDs aged 45 and older and 10 caregivers. Semi-structured focus groups and interviews were analyzed thematically within a constructivist framework, integrating perspectives from both groups. Barriers included social taboos around sexuality, psychological distress, exclusion through standardized procedures, and unclear responsibility among stakeholders. Facilitators involved person-centered communication, accessible information, emotional and practical support, and familiar healthcare environments. Women with IDs expressed a strong desire for education, autonomy, and inclusion, while caregivers played a pivotal role in enabling access. These findings demonstrate that low screening participation among women with IDs is driven by systemic and organizational barriers rather than lack of health awareness or willingness to participate. Without structurally inclusive design, organized screening programs risk perpetuating preventable inequities in early detection. Embedding accessibility, clear accountability, and person-centered communication as standard features of breast cancer screening is therefore a public health priority to reduce avoidable late-stage diagnoses and narrow survival disparities for women with IDs. Full article

This study presents DeepVisionAnalytics, an integrated framework that combines eye tracking, OpenCV-based computer vision (CV), and machine learning (ML) to support objective analysis of consumer behaviour in visually driven tasks. Unlike conventional self-reported surveys, which are prone to cognitive bias, recall errors, and social desirability effects, the proposed approach relies on direct behavioural measurements of visual attention. The system captures gaze distribution and fixation dynamics during interaction with products or interfaces. It uses AOI-level eye tracking metrics as the sole behavioural signal to infer candidate choice under constrained experimental conditions. In parallel, OpenCV and ML perform facial analysis to estimate demographic attributes (age, gender, and ethnicity). These attributes are collected independently and linked post hoc to gaze-derived outcomes. Demographics are not used as predictive features for choice inference. Instead, they are used as contextual metadata to support stratified, segment-level interpretation. Empirical results show that gaze-based inference closely reproduces observed choice distributions in short-horizon, visually driven tasks. Demographic estimates enable meaningful post hoc segmentation without affecting the decision mechanism. Together, these results show that multimodal integration can move beyond descriptive heatmaps. The platform produces reproducible decision-support artefacts, including AOI rankings, heatmaps, and segment-level summaries, grounded in objective behavioural data. By separating the decision signal (gaze) from contextual descriptors (demographics), this work contributes a reusable end-to-end platform for marketing and UX research. It supports choice inference under constrained conditions and segment-level interpretation without demographic priors in the decision mechanism. Full article

Background/Objectives: Autism Spectrum Disorder (ASD) is a lifelong neurodevelopmental disorder characterized by social, communication, and behavioral challenges. complementary and alternative medicine (CAM) is widely used by parents worldwide, yet research exploring parents’ experiences, particularly in Arab countries, is limited. This study explored mothers’ perceptions and experiences of CAM use for children with ASD, information-seeking behaviors and challenges encountered. Methods: A qualitative study using semi-structured interviews was conducted among twenty mothers at Autism Academy of Jordan in 2024. Inclusion criteria were mothers with children diagnosed with ASD for at least six months and those who had used at least one CAM therapy. Interviews were conducted via Skype, transcribed verbatim, and analyzed using NVivo 12 with inductive thematic analysis. Results: Three major themes emerged in this qualitative study: (1) mothers’ experiences with CAM and perceptions of benefit; (2) sources of information and decision-making processes; and (3) main challenges in selecting and implementing CAM. Mothers reported using therapies such as honey, black seed, camel milk, Hujama, olive oil, supplements, and region-specific programs like Andalosiah. Faith, cultural beliefs, and the desire for natural, safe interventions strongly influenced CAM selection. Internet searches and social media groups were primary information sources. Challenges included financial, logistical, emotional burdens, and lack of trustworthy, Arabic-language information sources. Conclusions: Mothers in Arab countries navigate CAM use for their children with ASD through culturally and religiously informed practices. Interventions should focus on developing evidence-based guidance, culturally sensitive counseling, and accessible information to support families in safe, informed CAM use. Full article

Adam Smith’s The Theory of Moral Sentiments (1759) and The Wealth of Nations (1776) offer a distinctive perspective on moral development that avoids succumbing to the limitations of capitalism and utilitarianism by supporting both moral agency and the importance of enabling structures and systems in commerce. Corruption of moral sentiments cannot be averted by enforcing only mechanical structures and systems of compliance with governance rules, regulations, and disciplinary processes to control employees. Compliance then follows a means-to-an-end logic for maximising profit, which becomes a barrier for autonomous moral development or is even incapable of moral decision-making, as suggested by Hannah Arendt. Smith’s originality lies in grounding this analysis with an affirmative view of human nature and liberty, which enables him to move beyond purely legalistic or moralistic approaches to understand and counter moral failure. Smith offers a distinctive perspective on moral development in commerce, integrating human cognition, moral philosophy, and enabling structural and systemic design that avoids the displacement of responsibility noted by Albert Bandura. For Smith, the corruption of moral sentiments is distorted by the natural need for praise from others at all costs, as opposed to praiseworthy conduct. His remedy is a two-fold process of moral education in which the impartial spectator extends the natural desire for praise to prioritise honour and integrity in behaviour that is praiseworthy. However, moral education also requires a structural social space that is not prescriptive or legalistic to enhance the freedom to develop morally by exercising the choice to strive towards ethical behaviour. In this manner, self-interest enables moral development through natural means that prioritise honourable conduct and perpetuates sympathetic sentiment in which the well-being of others is considered. Full article

This article interrogates how an everyday Facebook user in Nigeria adopts AI-generated images as a sustained mode of online and digital self-presentation. This study situates this practice within debates on posthumanity, aesthetic labour, and platform affordance. Drawing on a qualitative case study of a pseudonymised account (“Ada Alika”), this article analyses 25 AI-generated self-images posted between February and September 2025 alongside 25 non-AI-generated images. Using a triangulated methodological approach that combines media archaeology, online observation, and visual thematic analysis, the article describes how generative AI functions as an aesthetic and ontological collaborator in the construction of online selfhood. The results from the analysis are organised around three interconnected themes: “Posthuman and Hyperreal Self”, Aesthetic Labour and AI-mediated Persona”, and High Audience Engagement. The analysis indicates that AI-generated images produce a hyperreal self that exceeds naturalistic representation while remaining socially legible and desirable. These images demand sustained aesthetic labour and align closely with Facebook’s attention economy, resulting in markedly higher engagement than non-AI images. Audience interactions further reveal a level of visual literacy in which distinctions between the real, artificial, and aspirational are fluidly negotiated. By foregrounding a non-Western and non-influencer context, this article extends existing scholarship on AI-mediated selfhood and demonstrates how AI-generated images on Facebook reshapes everyday practices of self-representation and visibility in online digital culture. Full article

Background/Objectives: Cyber bystanders can choose from several different strategies during cyberbullying incidents and have a significant effect on the situation. Hence, cyber bystanders are specifically targeted by prevention programmes and research investigating variables influencing cyber bystander responses is crucial for such programmes. The aim of our study was (1) to explore contextual factors’ effect on cyberbullying incidents’ perceived severity and (2) the most frequent cyber bystander responses. We also aimed (3) to learn how the context of cyberbullying incidents affects cyber bystander responses and the joint effect of individual and contextual variables on cyber bystander responses. Methods: In total, 314 Hungarian high school students participated in our online survey (mean age = 16.15, SD = 3.28). The respondents filled in self-administered questionnaires that measured cyber bystander responses, severity of different cyberbullying incidents, empathy, moral disengagement, social desirability, and cyberbullying engagement. Results: First, our results showed that the respondents perceived public and visual cyberbullying, and when the victim was upset by it the most severe incidents. Second, in almost every condition, the two most likely cyber bystander responses were ignorance and emotional support for the victim. Third, the individual and contextual variables had a joint effect influencing cyber bystander responses except for emotional support to the victim that was only influenced by individual variables, i.e., empathy, moral disengagement, and social desirability. Conclusions: All in all, our results showed that all cyberbullying contexts were associated with cyber bystander responses and the prominent association between moral disengagement, social desirability, empathy, and prosocial cyber bystander responses. Moreover, these results could guide cyberbullying prevention to focus on cyber bystanders’ empathy training, decreasing their moral disengagement, and educating them about the effects of online contextual variables. Full article

The purpose of this study is to explore social work students’ knowledge, attitudes, and support for reparations for African American descendants of chattel slavery and persistent structural discrimination. A 44-item self-administered online survey instrument was used to gather data. A total of 91 social work students across the United States responded to the survey. The findings demonstrated that there is a knowledge deficit about reparations. An overwhelming majority of students reported that they had never taken a college course that included content on reparations. To address this void, nearly 95% of the respondents indicated that they would like to learn more about H.R.40, a legislative bill that seeks to establish a commission to study proposals for reparations in the United States. Reparations align with the mission, values, and competencies of social work; therefore, students’ desire to learn more about this topic should serve as a motivator for U.S. social work educators to include this content in graduate and undergraduate courses. Full article

Horses are social animals, with early life experiences playing a crucial role in their physiological and behavioral development. This study explored the influence of herd dynamics and foundational training on behavioral and hormonal changes in weaned foals. We examined 13 six-month-old Quarter Horse foals over a three-month training period, performing behavioral observations, temperament assessments, and hormone analyses at the start, midpoint, and end of the training. The results indicated that affiliative behaviors decreased significantly, while agonistic behaviors first increased and then decreased. Cortisol levels consistently declined throughout this study, whereas oxytocin levels remained stable. Linear regression analysis showed that cortisol was positively associated with affiliative behaviors and influenced by fearfulness and stubbornness. Conversely, oxytocin was positively associated with friendliness. The handlers’ proficiency significantly affected the foals’ outcomes; those managed by more skilled handlers exhibited significant improvements in confidence, friendliness, and reductions in cortisol, fearfulness, and stubbornness. These findings suggest the importance of handler skill in influencing equine behavior and hormonal balance. In conclusion, this study demonstrated the significant impacts of socialization and training on the behavioral, temperamental, and hormonal profiles of weaned foals, confirming the importance of handler expertise in fostering desirable traits in young horses. Full article

Objectives: Lifestyle behaviors such as physical activity, cognitive engagement, social interaction, diet, sleep, and vascular risk management are increasingly recognized as contributors to cognitive aging and dementia risk. Although many middle-aged and older adults express interest in maintaining brain health, less is known about their beliefs about brain-healthy behaviors or their preferences for receiving multicomponent brain health interventions. This study examined adults’ ratings of the usefulness of a wide range of lifestyle activities for brain health and their preferred formats for receiving support. Methods: A 60-item online survey was administered to compensated volunteers aged 40 years and older through a commercial provider. The questionnaire assessed perceived usefulness of lifestyle-based brain health activities and preferred intervention delivery formats. The analytic sample included 761 respondents. Descriptive statistics were computed for all ratings and differences by age group and gender were tested using MANOVA with post hoc comparisons adjusted for multiple testing. Results: Participants endorsed many lifestyle activities as helpful for brain health. Mentally stimulating activities, good sleep, stress management, and creative activities received the highest ratings, whereas strength training, meditation, language learning, and computer-based cognitive training were rated lower. Aerobic exercise and mentally stimulating activities were most frequently selected as the single most important activity. Significant effects of age, gender, and their interaction were observed, with younger men and older women generally rating activities more favorably. With respect to desire for services, over half of participants preferred receiving a cognitive assessment, and many favored online education or app-based tools. Conclusions: Middle-aged and older adults recognize a wide range of lifestyle factors as potentially beneficial for brain health and express strong interest in structured support, particularly assessments and digital resources. These findings can inform the design of flexible, multicomponent brain health interventions aligned with adults’ preferences and priorities. Full article