Search Results (40)

Metaphors are used throughout acceptance and commitment therapy (ACT) to minimize the inflexibility of rule-governed, rather than contingency-shaped, behavior. Within the behavior analytic literature underlying ACT, responding on operant schedules has been used to parse out these differing sources of behavioral control. We thus used this preparation to more directly link the therapeutic use of metaphors to this literature. Participants were 105 undergraduates presented one of three passages—two metaphors and one nonmetaphor—with varying relevance for schedule control on an operant task where points could be both gained and lost. Schedule control was analyzed by visual analysis of cumulative point records over the course of the task. Two measures of dispositional rule-following—tracking and pliance—were also examined as moderators. No differences in schedule control were found between passage conditions alone. However, participants high in tracking who received the task-relevant metaphor were most likely to demonstrate schedule control reflective of psychological flexibility, while those low in both tracking and pliance who received the task-relevant metaphor were least likely to do so. Findings suggest dispositional tracking heightens the impact of therapeutic metaphors on psychological flexibility. Limitations and implications for further research on the behavior analysis of therapeutic metaphors are discussed. Full article

Ritual prayer (ṣalāh) is one of the most central and enduring practices in Islam, widely recognized for its spiritual significance. However, its educational and formative role in shaping the Muslim’s inner self and moral identity remains insufficiently explored in contemporary scholarship. This paper aims to examine ritual prayer as a core pedagogical tool within Islamic education, focusing on its transformative power in the processes of self-purification (tazkiyah) and identity formation. The study seeks to analyze the ethical and psychological dimensions of ṣalāh, drawing on classical Islamic sources, as well as integrating insights from contemporary critical philosophy—particularly Byung-Chul Han’s Vita Contemplativa—and Islamic virtue ethics, including perspectives such as those advanced by Elizabeth Bucar. Through this framework, the paper explores how prayer shapes inner dispositions like humility, mindfulness, sincerity, patience, and submission, reinforcing both spiritual awareness and communal belonging. Employing a descriptive-analytical methodology, the study engages Qur’anic verses, prophetic traditions, and traditional pedagogical literature to investigate how ṣalāh functions as a lived and repeated experience that cultivates the soul and molds ethical behavior. The discussion highlights how regular performance of prayer integrates belief with action and contributes to the formation of a reflective and morally grounded Muslim identity. This paper contributes to the field of Islamic Practical Theology by demonstrating how ritual prayer operates as a dynamic and holistic model for moral and spiritual development. It provides educators and scholars with a theoretical and applied vision for incorporating ṣalāh-based character education into Islamic curricula. Future research may explore how prayer interacts with modern lifestyles, digital spiritual practices, and intergenerational transmission of religious identity in diverse contexts. Full article

This study presents a novel and interpretable, deployment-ready framework for predicting cybersecurity incidents through item-level behavioral, cognitive, and dispositional indicators. Based on survey data from 453 professionals across countries and sectors, we developed 72 logistic regression models across twelve self-reported incident outcomes—from account lockouts to full device compromise—within six analytically stratified layers (Education, IT, Hungary, UK, USA, and full sample). Drawing on five theoretically grounded domains—cybersecurity behavior, digital literacy, personality traits, risk rationalization, and work–life boundary blurring—our models preserve the full granularity of individual responses rather than relying on aggregated scores, offering rare transparency and interpretability for real-world applications. This approach reveals how stratified models, despite smaller sample sizes, often outperform general ones by capturing behavioral and contextual specificity. Moderately prevalent outcomes (e.g., suspicious logins, multiple mild incidents) yielded the most robust predictions, while rare-event models, though occasionally high in “Area Under the Receiver Operating Characteristic Curve” (AUC), suffered from overfitting under cross-validation. Beyond model construction, we introduce threshold calibration and fairness-aware integration of demographic variables, enabling ethically grounded deployment in diverse organizational contexts. By unifying theoretical depth, item-level precision, multilayer stratification, and operational guidance, this study establishes a scalable blueprint for human-centric cybersecurity. It bridges the gap between behavioral science and risk analytics, offering the tools and insights needed to detect, predict, and mitigate user-level threats in increasingly blurred digital environments. Full article

Contemporary society demands the development of creative critical thinking (CCT) as a fundamental objective in science education. However, there appears to be a dissonance between this recognised need and its actual implementation in educational practices. This study explores the potential of modelling practices to intentionally, explicitly, and reflectively integrate the development of CCT in educational settings. To examine this possibility while laying the foundations for future research, the theoretical frameworks of CCT and modelling are synthesised, and their possible points of convergence are analysed in order to test the proposed hypothesis. Two elements that may strengthen their synergy are identified: first, the resources for modelling, such as analogies, which activate analytical, evaluative, creative, and argumentative skills, thereby fostering critical dispositions and a deeper understanding of the nature of science. Second, argumentation, closely connected with communication and information management, is considered a relevant component, especially when addressing socioscientific issues. While further empirical research is needed, the analysis indicates that modelling practices could contribute to the development of CCT. Full article

This paper addresses the longstanding tension between reason and revelation in Islamic religious epistemology, with a focus on the thought of Ibn Taymiyyah (d. 728/1328). It aims to reassess his critique of philosophical theology (falsafa and kalām) and explore his constructive alternative to rationalist metaphysics. The study adopts a descriptive–analytical methodology, combining close textual reading of Darʾ Taʿāruḍ al-ʿAql wa al-Naql and Naqd al-Manṭiq with conceptual analysis informed by contemporary religious epistemology and philosophy of religion. The findings reveal that Ibn Taymiyyah advances a triadic epistemological model centered on revelation (naql), reason (ʿaql), and innate disposition (fiṭrah). He refutes the autonomy of reason, redefines logic as a tool rather than a judge, and repositions fiṭrah as an intuitive foundation for belief. His approach emphasizes the harmony of sound reason with authentic revelation and challenges the epistemic assumptions of speculative theology. By presenting a comparative table of rationalist and Taymiyyan epistemologies, the study demonstrates how Ibn Taymiyyah’s framework anticipates key themes in Reformed Epistemology and the cognitive science of religion. The conclusions suggest that his vision offers a coherent, theocentric paradigm for religious knowledge that is highly relevant to the contemporary philosophy of religion and Islamic theology. Full article

Addressing climate change requires deeper insight into the psychological drivers of pro-environmental behavior. This study investigates how personality traits, climate-related emotions, and demographic factors can predict sustainable consumption and climate action participation using a Bayesian regression approach. Drawing from the HEXACO personality model and key emotional predictors—Climate Change Worry (CCW) and environmental empathy (EE)—we analyzed data from 604 adults in Greece to assess both private and public climate-related behaviors. This research is novel in its integrative approach, combining dispositional traits and affective states within a Bayesian analytical framework to simultaneously predict both sustainable consumption and climate action. Bayesian model testing highlighted education as the most powerful and reliable predictor of sustainable consumption, with increasing levels—namely Doctoral education—linked to more environmentally responsible action. CCW produced small but reliable effects, supporting hypotheses that moderate emotional concern will lead to sustainable behavior when linked to efficacy belief. The majority of HEXACO traits, e.g., Honesty–Humility and Conscientiousness, produced limited predictive power. This indicates in this case that structural and emotional considerations were stronger than dispositional personality traits. For climate action involvement, Bayesian logistic models found no considerable evidence of any predictor, corroborating the perspective that public participation in high effort action is most likely to rely on contextual enablers instead of internal sentiments or attributes. A significant interaction effect between education and gender also indicated that the sustainability effect of education is moderated by sociocultural identity. Methodologically, this research demonstrates the strengths of Bayesian analysis in sustainability science to make sensitive inference and model comparison possible. The results highlight the importance of affect-related structural variables in behavioral models and have applied implications for theory-informed and targeted climate education and communication interventions to enable different populations to act sustainably. Full article

In the digital age, investing in e-gold is increasing in popularity. This study’s objective is to assess the moderating role of dispositional innovativeness between fintech adoption and the intention to invest in e-gold, as well as to understand investors’ behavioral intentions. This study uses the theory of planned behavior model to analyze the data. We prepared a structured questionnaire to collect data from Maharashtra, a state in India, and used PLS-SEM for analytical purposes. We also used focus group interviews to validate the findings from PLS-SEM. Our evidence shows that attitude, subjective norms, and perceived behavioral control significantly impact fintech adoption and the intention to invest in e-gold. This study also confirmed that dispositional innovativeness moderates the relationship between fintech adoption and the intention to invest in e-gold. This study implies that policymakers can redesign the regulation of digital assets to promote transparency, security, and faith in the fintech platform by recognizing the interest rate in e-gold. Full article

The global growth of solar power has led to a significant increase in solar photovoltaics (PV) waste, which is expected to rise significantly in the coming years. The recommended end-of-life (EOL) management techniques for wasted PV panels include landfill disposal, recycling, or panel reuse. However, a comprehensive decision-making strategy is necessary to assess the appropriate EOL plans from various perspectives, including economic, environmental, sociological, technological, regulatory, and business. This study aims to establish a comprehensive approach for examining disposition alternatives and suggest guidelines for PV EOL management. The Analytic Hierarchy Process (AHP) is used to prioritize disposition alternatives for solar PV waste, considering five key criteria: environmental impact, economic viability, social implications, policy and legislative compliance, and technical feasibility. The AHP Aggregating Individual Priorities (AIP) aggregation approach is used to analyze data using a pairwise comparisons matrix. The research indicates that recycling is the most preferred option based on the primary criteria, achieving the highest overall score compared to other alternatives. However, discrepancies were observed in the decisions among individual stakeholder groups and subfactor evaluations. To address these variations, this study provides policy recommendations to guide the sector in adopting optimal decision-making strategies for PV EOL management. Full article

The antimicrobial properties of a series of anionic bis(carbene) silver complexes Na₃[Ag(NHC^R)₂] were investigated (2a–2g and 2c′, where NHC^R is a 2,2′-(imidazol-2-ylidene)dicarboxylate-type N-heterocyclic carbene). The complexes were synthesized by the interaction of imidazolium dicarboxylate compounds with silver oxide in the presence of aqueous sodium hydroxide. Complexes 2f,g were characterized analytically and spectroscopically, and the ligand precursor 1f and complexes 2c and 2g were structurally identified by X-ray diffraction methods. The anions of 2c and 2g, [Ag(NHC^R)₂]³⁻, showed a typical linear disposition of C_carbene-Ag-C_carbene atoms and an uncommonly eclipsed conformation of carbene ligands. The antimicrobial properties of complexes 2a–g, which contains chiral (2b–2e and 2c′) and non-chiral derivatives (2a,f,g), were evaluated against Gram-negative bacteria, Escherichia coli and Pseudomonas aeruginosa, and a Gram-positive bacterium, Staphylococcus aureus. From the observed values of the minimal inhibitory concentration and minimal bactericidal concentration, complexes 2a and 2b showed the best antimicrobial activity against all strains. An interesting chirality–antimicrobial relationship was found, and eutomer 2c′ showed better activity than its enantiomer 2c against the three bacteria. Furthermore, these complexes were investigated experimentally and theoretically by ¹⁰⁹Ag nuclear magnetic resonance, and the electronic and steric characteristics of the dianionic carbene ligands were also examined. Full article

The objective of this study was to understand the perceptions of Primary (PrE) and Secondary Education (SE) students in Cantabria about the subject of physical education (PE) and their teachers. A descriptive, comparative relational analytical cross-sectional design was used. A total of 1164 students (387 from PrE and 777 from SE) answered an ad hoc questionnaire on their satisfaction with their PE classes (eight items) and teachers (nine items). The results indicate that the PrE students were more satisfied than the SE students regarding the following statements about PE: more hours per week (p < 0.001); classes and subjects that I like the most (p < 0.001); I enjoy and have fun (p < 0.001); interesting and motivating (p < 0.001); and useful for life (p < 0.001) and easy (p = 0.006). The boys’ responses reflected higher values than the girls’ on all the previous items (p < 0.005). Regarding their thinking about their PE teachers, statistically significant differences were found in the PrE students’ responses compared with those of the SE students for the following: explains well and is easily understood (p = 0.006); stimulates and encourages participation (p = 0.050); cares and is interested in the students (p = 0.031); treat boys and girls the same (p < 0.001); and I prefer a woman because she understands me better (p = 0.021). Therefore, the male and primary-stage students showed more positive attitudes towards PE. In general, there was a favorable disposition towards PE and towards teachers, which must be taken into account to achieve SDG 4. Full article

Patients with cerebral palsy (CP) are particularly vulnerable to respiratory infections, yet comparative outcomes between COVID-19 and influenza in this population remain underexplored. Using the National Inpatient Sample from 2020–2021, we performed a retrospective analysis of hospital data for adults with CP diagnosed with either COVID-19 or influenza. The study aimed to compare the outcomes of these infections to provide insights into their impact on this vulnerable population. We assessed in-hospital mortality, complications, length of stay (LOS), hospitalization costs, and discharge dispositions. Multivariable logistic regression and propensity score matching were used to adjust for confounders, enhancing the analytical rigor of our study. The study cohort comprised 12,025 patients—10,560 with COVID-19 and 1465 with influenza. COVID-19 patients with CP had a higher in-hospital mortality rate (10.8% vs. 3.1%, p = 0.001), with an adjusted odds ratio of 3.2 (95% CI: 1.6–6.4). They also experienced an extended LOS by an average of 2.7 days. COVID-19 substantially increases the health burden for hospitalized CP patients compared to influenza, as evidenced by higher mortality rates, longer hospital stays, and increased costs. These findings highlight the urgent need for tailored strategies to effectively manage and reduce the impact of COVID-19 on this high-risk group. Full article

Citizens, organizations and institutions are increasingly making use of digital social networks such as Twitter as a means by which to express their position as regards political topics. However, an increasing amount of academic literature coincides, in that it highlights the emotive and expressive nature of these positions. In other words, for the most part, the political opinions that are publicized are more like backing based on support or rejection (without arguments or motives). In parallel, said expressions have a key emotional element (expressions of a positive or negative affective disposition). This article consists of an analysis that aims, on the one hand, to measure the affective disposition of US citizens as expressed on Twitter during the two most recent electoral campaigns (2016 and 2020). Similarly, we have generated a model that facilitates the measurement of the extent to which the content of the aforementioned messages demonstrates arguments or motives, or lack of. By way of the use of a database for the same Twitter accounts in both elections, we provide very consistent results that highlight the lack of argumentation of the public debate and the notably polarized profile of the affective dispositions shown by participants. We use the thesis of emotivism to give a more significant analytical weighting to this research. Full article

A review of the research shows that critical thinking is a more inclusive construct than intelligence, going beyond what general cognitive ability can account for. For instance, critical thinking can more completely account for many everyday outcomes, such as how thinkers reject false conspiracy theories, paranormal and pseudoscientific claims, psychological misconceptions, and other unsubstantiated claims. Deficiencies in the components of critical thinking (in specific reasoning skills, dispositions, and relevant knowledge) contribute to unsubstantiated belief endorsement in ways that go beyond what standardized intelligence tests test. Specifically, people who endorse unsubstantiated claims less tend to show better critical thinking skills, possess more relevant knowledge, and are more disposed to think critically. They tend to be more scientifically skeptical and possess a more rational–analytic cognitive style, while those who accept unsubstantiated claims more tend to be more cynical and adopt a more intuitive–experiential cognitive style. These findings suggest that for a fuller understanding of unsubstantiated beliefs, researchers and instructors should also assess specific reasoning skills, relevant knowledge, and dispositions which go beyond what intelligence tests test. Full article

This paper presents an analytical study of the air-gap magnetic field of a surface permanent magnet (SPM) linear, slot-less machine with a Halbach PM configuration, under the no-load condition. While other analytical formulations of the magnetic field generated by PMs are available, they exhibit some drawbacks, such as only providing a Fourier series, or being suitable to determine magnetic field average values, but not local magnetic field distributions. On the contrary, the proposed approach allows the determination of a unique, closed-form formulation for the slot-less machine air-gap field. This is obtained starting from the complex expression of the magnetic field of a conductor, inside the air gap, between two parallel smooth iron surfaces, obtained by means of the method of images. The magnetic field due to an infinitesimal conductor belonging to a current sheet is then integrated along a segment, providing the expression of the magnetic field due to the corresponding linear current density distribution, for current sheets perpendicular or parallel to the iron surfaces. Any Halbach PM segment disposition can, hence, be obtained via a suitable combination of field distributions generated by couples of current sheets with perpendicular and parallel orientation. Lastly, the no-load magnetic field expression with a Halbach array of PMs is retrieved. The proposed analytical model provides an accurate representation of the magnetic field distribution produced by any Halbach array, with an arbitrary number of segments and orientations. Additionally, the results obtained from the proposed analytical expressions are compared with FEM simulations realized by commercial software, and show an excellent agreement. Full article

Police work demands a high level of physical fitness (PF) and psychosocial well-being (PSWB) to cope with the challenges and demands of the profession. The profession has historically been male-dominated, and female police officers (POs) face unique challenges and stereotypes. This study aims (i) to identify the PF and PSWB attributes that significantly distinguish the women from three different professional training courses (agents, chiefs, and officers) and (ii) to assess the significance of PF and PSWB attributes on the likelihood that women in professional training courses belonging to a special bodyguard police sub-unit. A cross-sectional analytical study was conducted, involving 102 female POs (professional PO training courses, n = 94; special bodyguard police sub-unit, n = 8). PF (morphology; fitness, including endurance, strength, and flexibility tests) and PSWB (measured through scales for grit and dispositional resilience) attributes were assessed. Significant differences were observed in age, morphological (height and waist-to-hip ratio), fitness (horizontal jump and endurance tests), and PSWB (perseverance in effort and alienation) attributes among the three professional training courses. Stepwise discriminant analysis revealed that waist-to-hip ratio, waist-to-height ratio, relative fat mass, relative muscle mass, horizontal jump, and endurance on exertion significantly distinguished between the three groups. Complementarily, it was observed that the waist-to-hip ratio and sit-up attributes influence the probability of women from the professional training courses joining the special bodyguard police sub-unit. The study highlights that (i) female POs in different professional training courses showed distinct PF and PSWB profiles, and (ii) only two PF attributes (waist-to-hip ratio and sit-up) were predictors for the special bodyguard police sub-unit. In accordance, these findings provide valuable insights for designing training programs to support female POs in improving their PF, psychological well-being, and overall performance in the police profession. Full article