Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This...Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.展开更多
FORTY years ago, Song Huai Kuei was a 17-year-old student enrolled in the Oil Painting Department of the Central Academy of Fine Arts in Beijing. It was there that she met Maryn Varbanov, a young Bulgarian painter. Th...FORTY years ago, Song Huai Kuei was a 17-year-old student enrolled in the Oil Painting Department of the Central Academy of Fine Arts in Beijing. It was there that she met Maryn Varbanov, a young Bulgarian painter. Their meeting marked the beginning of a legendary life. Today Song Huai Kuei is the Chinese chief representative of the French Pierre Cardin Fashion Company and chairwoman of Maxim’s. She has gained celebrity status and often appears in the media. Her Asian countenance and her Pierre Cardin wardrobe display an excellent combination of Chinese and Western elements. She herself, however, says that she is essentially just an ordinary Chinese. Although others have had different opinions about her lifestyle, Song展开更多
1 I Like Me follows a cheerful and confident little pig who celebrates everything about herself.From her curly tail to her big feet,she loves every part of herself.In the book,I remember that the pig enthusiastically ...1 I Like Me follows a cheerful and confident little pig who celebrates everything about herself.From her curly tail to her big feet,she loves every part of herself.In the book,I remember that the pig enthusiastically declares that no matter what she does,even if she's making mistakes,being silly or being a clumsy rookie(笨拙的新手)of trying something new,she will always like herself.展开更多
The Cross-domain Heuristic Search Challenge(CHeSC)is a competition focused on creating efficient search algorithms adaptable to diverse problem domains.Selection hyper-heuristics are a class of algorithms that dynamic...The Cross-domain Heuristic Search Challenge(CHeSC)is a competition focused on creating efficient search algorithms adaptable to diverse problem domains.Selection hyper-heuristics are a class of algorithms that dynamically choose heuristics during the search process.Numerous selection hyper-heuristics have different imple-mentation strategies.However,comparisons between them are lacking in the literature,and previous works have not highlighted the beneficial and detrimental implementation methods of different components.The question is how to effectively employ them to produce an efficient search heuristic.Furthermore,the algorithms that competed in the inaugural CHeSC have not been collectively reviewed.This work conducts a review analysis of the top twenty competitors from this competition to identify effective and ineffective strategies influencing algorithmic performance.A summary of the main characteristics and classification of the algorithms is presented.The analysis underlines efficient and inefficient methods in eight key components,including search points,search phases,heuristic selection,move acceptance,feedback,Tabu mechanism,restart mechanism,and low-level heuristic parameter control.This review analyzes the components referencing the competition’s final leaderboard and discusses future research directions for these components.The effective approaches,identified as having the highest quality index,are mixed search point,iterated search phases,relay hybridization selection,threshold acceptance,mixed learning,Tabu heuristics,stochastic restart,and dynamic parameters.Findings are also compared with recent trends in hyper-heuristics.This work enhances the understanding of selection hyper-heuristics,offering valuable insights for researchers and practitioners aiming to develop effective search algorithms for diverse problem domains.展开更多
Qigong is an important part of traditional Chinese health preservation culture,and the accurate translation of its terms is of great significance for international communication.Currently,there are many deficiencies i...Qigong is an important part of traditional Chinese health preservation culture,and the accurate translation of its terms is of great significance for international communication.Currently,there are many deficiencies in the translation of Qigong terms,such as a lack of systematicity and inconsistent translations.Based on hermeneutics theory,this study analyzes the factors influencing the acceptance of Qigong term translations,and constructs an evaluation model for translation acceptance,covering three dimensions:culture,language,and readers.Accordingly,translation strategies are proposed,including culturally adaptive translation,optimization of language structure,reader stratification strategies,horizon fusion,and the hermeneutic circle,etc.The aim is to balance the cultural connotations and readers’acceptance,and to promote the international communication of Qigong culture.展开更多
The use of electronic currency for transactions,denoting a cashless paradigm,has become increasingly common.However,this financial innovation is not prevalent in all countries.This study aims to explain the discrepanc...The use of electronic currency for transactions,denoting a cashless paradigm,has become increasingly common.However,this financial innovation is not prevalent in all countries.This study aims to explain the discrepancies across countries,including individual and country factors.It may be superficially posited that this lag in development stems from individual or microlevel usage challenges.However,the application of the Technology Acceptance Model highlights the presence of overarching characteristics conducive to extensive adoption.Thus,an additional stratum,the multilevel perspective,needs to be examined.This analytical framework incorporates not only individual attributes but also the sociotechnical framework or mesolevel factors in which they operate.A multilevel econometric model is used.The results of these analyses show that the impact on the adoption of cashless payments extends beyond individual factors(attitude to technology use,perceived usefulness,and perceived ease of use).Our primary contribution,conceptually and empirically,is to broaden the analysis vision.A comprehensive multilevel analysis revealed that broader contextual elements,such as infrastructure and national skills,exert a significant influence on the adoption of cashless transactions.Consequently,the widespread acceptance of cashless payment methods is not only contingent on individual choices but is also a collective phenomenon in which the surrounding environment plays a crucial role as a catalyst for the end users in the cashless economy.展开更多
Objectives:This study aimed to assess the reliability and validity of the abbreviated Committed Action Questionnaire(CAQ-8)in a cohort of 1635 Chinese university students.Methods:Participants completed the Chinese ver...Objectives:This study aimed to assess the reliability and validity of the abbreviated Committed Action Questionnaire(CAQ-8)in a cohort of 1635 Chinese university students.Methods:Participants completed the Chinese version of the CAQ-8 along with other standardized measures,including the Acceptance and Action Questionnaire-II(AAQ-II),the Valuing Questionnaire(VQ),the Satisfaction with Life Scale(SWLS),the Depression Anxiety Stress Scales(DASS-21),and the World Health Organization Fiveitem Well-Being Index(WHO-5).A retest was conducted one month later with 300 valid responses.Results:Exploratory factor analysis(n=818)identified a 2-factor structure,confirmed through validated factor analysis(n=817),showing good fit indices(CFI=0.990,RMSEA=0.040).Measurement equivalence across genders was established.The CAQ-8 showed significant positive correlations with life satisfaction,mental health,and values,and negative correlations with depression,anxiety,stress,and experiential avoidance.The scale demonstrated good internal consistency(Cronbach’sα=0.76)and retest reliability(ICC=0.70).Network analysis confirmed the robustness of the 2-factor model,with item 4 in CAQ-8 identified as a core item.Conclusion:The CAQ-8 is a reliable and valid tool for measuring committed action within the psychological flexibility model in Chinese populations.展开更多
This study introduces the type-I heavy-tailed Burr XII(TIHTBXII)distribution,a highly flexible and robust statistical model designed to address the limitations of conventional distributions in analyzing data character...This study introduces the type-I heavy-tailed Burr XII(TIHTBXII)distribution,a highly flexible and robust statistical model designed to address the limitations of conventional distributions in analyzing data characterized by skewness,heavy tails,and diverse hazard behaviors.We meticulously develop the TIHTBXII’s mathematical foundations,including its probability density function(PDF),cumulative distribution function(CDF),and essential statistical properties,crucial for theoretical understanding and practical application.A comprehensive Monte Carlo simulation evaluates four parameter estimation methods:maximum likelihood(MLE),maximum product spacing(MPS),least squares(LS),and weighted least squares(WLS).The simulation results consistently show that as sample sizes increase,the Bias and RMSE of all estimators decrease,with WLS and LS often demonstrating superior and more stable performance.Beyond theoretical development,we present a practical application of the TIHTBXII distribution in constructing a group acceptance sampling plan(GASP)for truncated life tests.This application highlights how the TIHTBXII model can optimize quality control decisions by minimizing the average sample number(ASN)while effectively managing consumer and producer risks.Empirical validation using real-world datasets,including“Active Repair Duration,”“Groundwater Contaminant Measurements,”and“Dominica COVID-19 Mortality,”further demonstrates the TIHTBXII’s superior fit compared to existing models.Our findings confirm the TIHTBXII distribution as a powerful and reliable alternative for accurately modeling complex data in fields such as reliability engineering and quality assessment,leading to more informed and robust decision-making.展开更多
Background Schizophrenia is characterised by pervasive cognitive deficits that significantly impair daily functioning and quality of life.Pharmacological treatments have limited efficacy in addressing these deficits,h...Background Schizophrenia is characterised by pervasive cognitive deficits that significantly impair daily functioning and quality of life.Pharmacological treatments have limited efficacy in addressing these deficits,highlighting the need for adjunctive interventions like computerised cognitive training(CCT).Aims This study aimed to evaluate the effects of a 30-session CCT programme on mental well-being and cognitive performance in individuals with schizophrenia.Additionally,it assessed the usability and acceptability of CCT in this population.Methods A double-blind,randomised clinical trial was conducted with 54 participants assigned to intervention and control groups.Cognitive and mental health outcomes were assessed using validated tools such as the Depression Anxiety Stress Scale 21,the Warwick-Edinburgh Mental Wellbeing Scale and the Cambridge Neuropsychological Test Automated Battery.Usability was measured with the System Usability Scale(SUS).Assessments were conducted at baseline,post-intervention and 3 months post-follow-up.Results The CCT intervention significantly improved mental well-being,reduced stress and enhanced working memory(paired associate learning,spatial working memory and spatial span)compared with controls.However,no significant effects were observed for anxiety,depression or executive function.Usability scores were high(SUS=83.51),and compliance rates were strong(92.7%),indicating favourable participant engagement.Conclusion CCT demonstrated potential as an adjunctive treatment for schizophrenia,with significant improvements in targeted cognitive and mental health domains.The high usability and compliance rates support its feasibility for broader implementation.Further research is needed to optimise protocols and explore long-term benefits.CCT offers a promising approach to addressing mental health and cognitive challenges in schizophrenia,particularly for stress and working memory.Its usability and acceptability suggest it could be seamlessly integrated into clinical practice.展开更多
This study aims to understand the implementation of artificial intelligence(AI)-enabled technology in banking from a user perspective.For this purpose,we examine customer intention to adopt ChatGPT(Generative Pretrain...This study aims to understand the implementation of artificial intelligence(AI)-enabled technology in banking from a user perspective.For this purpose,we examine customer intention to adopt ChatGPT(Generative Pretrained Transformer)in performing banking services.To assess the study objectives,this research integrates two well-established technology models,namely,the Task-Technology Fit(TTF)Model and the Technology Acceptance Model(TAM).This study employed a quantitative research approach and utilized a survey-based questionnaire to collect primary data from banking customers.We analyzed a total of 424 valid responses via the partial least squares structural equation modeling(PLS-SEM)approach for the results and estimations.The results of this study indicate that the TTF and TAM have a positive and significant effect on customers’intention to adopt ChatGPT in banking services.Additionally,this research revealed that ChatGPT knowledge plays a significant role as a moderator in predicting user intentions toward ChatGPT adoption.Our findings provide unique insights into the contemporary concept of AI-enabled technology adoption in the banking sector.This study highlights various aspects of the theoretical and managerial implications for managers and academicians.Theoretically,this study provides an in-depth analysis by integrating the TTF with an extended TAM.Practically,the findings of this study enhance strategic planning and informed decisions in the banking sector regarding the use of ChatGPT.This study also assumes that this is the first attempt in the Pakistani banking sector to analyze customer intentions to adopt ChatGPT in their banking transactions.Finally,our study limitations provide a discussion forum for subsequent studies that adapt or imitate our methodology in other demographics or countries.This will encourage the development of AI technologies in financial companies.展开更多
The Master Intelligent interview is based on the Stimulus-Organism-Response(SOR)theory,this study integrates key constructs from the Technology Acceptance Model(TAM)and the Theory of Planned Behavior(TPB),namely attit...The Master Intelligent interview is based on the Stimulus-Organism-Response(SOR)theory,this study integrates key constructs from the Technology Acceptance Model(TAM)and the Theory of Planned Behavior(TPB),namely attitude and behavioral intention,to develop a dual-path model of how AI empowerment influences college graduates’acceptance of intelligent interview technology.Taking AI empowerment as the independent variable,perceived risk and attitude as mediating variables,and behavioral intention as the outcome variable,the study employs questionnaire surveys and structural equation modeling(SEM)for empirical analysis.The results show that AI empowerment exerts a significant positive impact on attitude,perceived risk,and behavioral intention.Both perceived risk and attitude play significant mediating roles between AI empowerment and behavioral intention.Interestingly,perceived risk does not suppress behavioral intention;instead,it positively promotes it through a“rational trade-off”mechanism.Moreover,perceived risk and attitude form a significant chain-mediated pathway,revealing a continuous psychological transmission mechanism of“rational cognition-emotional adjustment-behavioral decision-making”.This study enriches the theoretical framework of AI technology acceptance,extends the application of the SOR model to the context of intelligent recruitment,and provides valuable implications for optimizing university career guidance and enterprise recruitment systems.展开更多
Payment for Ecosystem Services(PES)has been widely acknowledged as an effective tool for mitigating grassland degradation and enhancing ecosystem services provision.However,critical factors,such as herders'willing...Payment for Ecosystem Services(PES)has been widely acknowledged as an effective tool for mitigating grassland degradation and enhancing ecosystem services provision.However,critical factors,such as herders'willingness to accept(WTA)preferences and compensation expectations,are often overlooked,leading to insufficient effectiveness of PES initiatives.This study focused on grassland ecological compensation policy(GECP),quantifying herders'WTA compensation for grassland grazing bans.Through face-to-face surveys and employing the contingent valuation method,we estimated households'WTA for participating in a grassland conservation program to bolster ecosystem service provision.Our findings indicated that herders required an average compensation of 237 CNY mu^(-1)yr^(-1)to engage in the grazing ban program.Notably,herders'environmental awareness positively influenced their willingness to participate,whereas larger family sizes were negatively correlated with WTA.Additionally,herders in better health,with higher livestock incomes or categorized as semi-herders,tended to accept lower compensation levels.These insights are crucial for improving the effectiveness of GECP and provide valuable reference points for similar analyses in economically disadvantaged and ecologically fragile regions.展开更多
The advancement of generative AI has reshaped EFL education,particularly in EFL writing.This qualitative case study investigates the perceptions of Chinese college students and EFL teachers towards the integration of ...The advancement of generative AI has reshaped EFL education,particularly in EFL writing.This qualitative case study investigates the perceptions of Chinese college students and EFL teachers towards the integration of Gen AI in EFL writing.The research involved semi-structured interviews with 13 students and 10 EFL teachers.Thematic analysis,guided by the Technology Acceptance Model(TAM),was employed to analyze the qualitative data.The findings reveal the perceptions of students and teachers regarding the role of generative AI in EFL writing.Regarding usefulness,students appreciate Gen AI for reducing writing difficulty and enhancing efficiency,though some note that it may produce logical flaws and misinformation.Teachers share similar perceptions,but stress effectiveness depends on students’language level.Some teachers also advocate traditional writing initially to build foundational skills.On the ease of use,most students find it easy interacting with Gen AI but mention dialogical understanding challenges.Both students and teachers stress clear prompts are crucial,indicating“AI interaction literacy”should be part of teaching.Moreover,teachers worry that Gen AI’s ease of use may lead to over-reliance.These results reveal contradicting goals of using Gen AI:students value efficiency,while teachers focus on ability cultivation.These insights guide more effective integration of Gen AI in EFL writing education.展开更多
The introduction of the digital renminbi(eCNY)by the People’s Bank of China serves as a means for the central bank to effectively comprehend macroeconomic dynamics and enhance payment infrastructure within the domest...The introduction of the digital renminbi(eCNY)by the People’s Bank of China serves as a means for the central bank to effectively comprehend macroeconomic dynamics and enhance payment infrastructure within the domestic market.Among the pioneering digital currencies,the eCNY is at the forefront of technological research and development,pilot implementation,and the establishment of a robust system.Thus,employing the unified theory of acceptance and use of technology,this study aims to explore the factors shaping the adoption of the eCNY and to determine the mediating effects of intention toward the eCNY and the moderating role of age and gender among various relationships.A cross-sectional survey methodology was deployed to collect data from pilot communities situated within the Yangtze River Delta,Pearl River Delta,and Beijing–Tianjin–Hebei regions.The empirical analysis comprised 809 valid online questionnaires,and the examination was conducted through structural equation modeling employing the partial least squares technique,ultimately subjecting the conceptual model to a comprehensive assessment.The results for intention to use the eCNY indicate that performance expectancy,effort expectancy,social influence,and perceived government policy have significant effects.Facilitating conditions and intentions toward the eCNY positively influenced its actual use.According to the findings of this study,age and sex did not moderate the effect of each hypothesis on the intention to use in the research model.This study breaks new ground by investigating the adoption of the eCNY,a novel form of currency,highlighting its multifaceted nature and providing empirical evidence for a comprehensive model encompassing psychological,social,and contextual factors.This study employs social surveys to identify obstacles in the process of promoting the widespread adoption of the eCNY and offers suggestions to the central bank and government to increase user enthusiasm and decrease user perceptions of risk,thereby promoting its widespread adoption.展开更多
BACKGROUND Acceptance and commitment therapy(ACT)is a third-generation therapy that appears to be a promising psychological intervention for psychotic disorders.While several systematic reviews and meta-analyses that ...BACKGROUND Acceptance and commitment therapy(ACT)is a third-generation therapy that appears to be a promising psychological intervention for psychotic disorders.While several systematic reviews and meta-analyses that address the efficacy of ACT for psychosis have been conducted,no systematic review has specifically focused on the application of ACT to the early stages of psychosis.AIM To review the state of the art regarding the feasibility and efficacy of treating early psychosis(EP)with ACT-based interventions.METHODS First,we describe the foundations of the ACT model to provide the background required to contextualize the main objective of this review.Second,we searched the PubMed and PsycINFO databases for studies published up to January 2025 and identified eight studies that met our selection criteria.The systematic review was conducted in accordance with the PRISMA guidelines and the critical appraisal checklist provided by the Joanna Briggs Institute for randomized controlled trials(RCTs).RESULTS All studies were published after 2019.Among the reviewed studies,five were RCTs with a total combined sample of 399 nonoverlapping participants.The methodological quality was moderate for RCTs.The results showed that ACTbased treatments are feasible and improve psychotic symptoms,medication adherence,and global functioning in patients with EP.Furthermore,preliminary evidence exists for the benefits of group-based and online-delivered programs and those that combine face-to-face therapy with novel real-time digital interventions,such as“ecological momentary intervention”,to apply therapeutic con cepts to real life.CONCLUSION ACT-based treatments in the early stages of psychosis are feasible and improve symptoms,treatment adherence,and self-care skills.Although promising,these results are inconclusive.Further research is required.展开更多
BACKGROUND Military personnel frequently face unique psychological challenges due to highstress environments,which increase the risk of mental health issues like anxiety and depression.Acceptance and commitment therap...BACKGROUND Military personnel frequently face unique psychological challenges due to highstress environments,which increase the risk of mental health issues like anxiety and depression.Acceptance and commitment therapy(ACT)has shown potential in addressing these issues by enhancing psychological flexibility and resilience.AIM To systematically evaluate the effectiveness of ACT in improving the mental health of military personnel.Through a scoping review and meta-analysis,we quantitatively assess the impact of ACT on psychological outcomes,guiding future research and clinical practice.METHODS Relevant literature was searched systematically from database inception to June 30,2023,across multiple databases,including PubMed,Web of Science,Cochrane Library,and Embase.The Joanna Briggs Institute's(JBI)scoping review guidelines were used as the methodological framework.Meta-analysis was performed using a random-effects model,and publication bias was assessed through Egger's regression test and Begg's funnel plot.RESULTS Twenty-six studies were included,highlighting the application of ACT in addressing PTSD,chronic pain,anxiety,and depression among military personnel.The meta-analysis of eight studies demonstrated a significant positive effect of ACT on mental health,with a pooled mean difference of-4.99(95%CI:-6.53 to-3.45).Despite high heterogeneity(I^(2)=63%),sensitivity analyses confirmed the robustness of the findings.CONCLUSION This study underscores the potential of ACT as an effective intervention for improving the mental health of military personnel.Future research should focus on large-scale,multi-center RCTs to further validate these findings,particularly within diverse military populations.展开更多
This study explores whether the current external quality assessment(EQA)level and acceptable bias for basic semen analysis in China are clinically useful.We collected data of semen EQA from Andrology laboratories in t...This study explores whether the current external quality assessment(EQA)level and acceptable bias for basic semen analysis in China are clinically useful.We collected data of semen EQA from Andrology laboratories in the Hunan Province(China)in 2022 and searched for data in the published literature from January2000 to December 2023 in China.On the basis of these data,we analyzed the coefficients of variation and acceptable biases of different quality control materials for basic semen analysis through robust statistics.We compared these findings with quality specifications based on biological variation from optimal,desirable,and minimum levels of bias to seek a unified and more suitable semen EQAbias evaluation standard for China's national conditions.Different sources of semen quality control material exhibited considerable variation in acceptable biases among laboratories,ranging from 8.2%to 56.9%.A total of 50.0% of the laboratories met the minimum quality specifications for progressive motility(PR),whereas 100.0%and 75.0%of laboratories met only the minimum quality specifications for sperm concentration and total motility(nonprogressive[NP]+PR),respectively.The Z value for sperm concentration and PR+NP was equivalent to the desirable performance specification,whereas the Z value for PR was equivalent only to the minimum performance specification.This study highlights the feasibility of operating external quality assessment schemes for basic semen analysis using quality specifications based on biological variation.These specifications should be unified among external quality control(EQC)centers based on biological variation.展开更多
The integration of Learning Management Systems(LMSs)into educational settings is becoming increasingly common,especially in the digital field.Understanding the factors influencing the acceptance and effective use of L...The integration of Learning Management Systems(LMSs)into educational settings is becoming increasingly common,especially in the digital field.Understanding the factors influencing the acceptance and effective use of LMS is essential to ensure successful implementation.The Technology Acceptance Model(TAM)has been widely used to check user acceptance of various technologies,including LMS.This study conducted a systematic literature review(SLR)to analyze existing research on the application of TAM in the context of LMS.A comprehensive search of the academic database was conducted to identify relevant studies published in 2010-2025.The review synthesizes findings related to the core constructs of TAM—Perceived Usability,Perceived Ease of Use,Behavioral Intent,and Actual Use—as well as extended factors such as system quality,self-efficacy,and social influence.The results reveal circumstantial evidence supporting the predictive power of TAM in LMS adoption,while also highlighting emerging trends and gaps in the literature.This review contributes to a deeper understanding of user acceptance in a digital learning environment and provides recommendations for future research and practical LMS implementation strategies.展开更多
This study aimed to confirm the hierarchical factor structure and the criterion validity of the Brief Mental Flexibility Questionnaire(BMFQ)in the South African context.Three hundred and eighty-five employees from a p...This study aimed to confirm the hierarchical factor structure and the criterion validity of the Brief Mental Flexibility Questionnaire(BMFQ)in the South African context.Three hundred and eighty-five employees from a public institution in South Africa participated in the study.Confirmatory factor analysis affirmed the structural validity of the measure,comprising a general factor of mentalflexibility and six distinct processes consistent with acceptance and commitment therapy(ACT):cognitive,affective,perceptual,attentional,motivational,and behavioralflexibility.Multiple regression analysis revealed differential predictive weights of these dimensions for general mental health,with cognitiveflexibility as the primary predictor.Motivationalflexibility emerged as the strongest predictor of adaptive performance.The BMFQ offers practitioners the ability to measure an individual’s overall mentalflexibility score alongside specificflexibility dimensions,enabling targeted interventions,employee comparisons,and organisational trend analysis.展开更多
文摘Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.
文摘FORTY years ago, Song Huai Kuei was a 17-year-old student enrolled in the Oil Painting Department of the Central Academy of Fine Arts in Beijing. It was there that she met Maryn Varbanov, a young Bulgarian painter. Their meeting marked the beginning of a legendary life. Today Song Huai Kuei is the Chinese chief representative of the French Pierre Cardin Fashion Company and chairwoman of Maxim’s. She has gained celebrity status and often appears in the media. Her Asian countenance and her Pierre Cardin wardrobe display an excellent combination of Chinese and Western elements. She herself, however, says that she is essentially just an ordinary Chinese. Although others have had different opinions about her lifestyle, Song
文摘1 I Like Me follows a cheerful and confident little pig who celebrates everything about herself.From her curly tail to her big feet,she loves every part of herself.In the book,I remember that the pig enthusiastically declares that no matter what she does,even if she's making mistakes,being silly or being a clumsy rookie(笨拙的新手)of trying something new,she will always like herself.
基金funded by Ministry of Higher Education(MoHE)Malaysia,under Transdisciplinary Research Grant Scheme(TRGS/1/2019/UKM/01/4/2).
文摘The Cross-domain Heuristic Search Challenge(CHeSC)is a competition focused on creating efficient search algorithms adaptable to diverse problem domains.Selection hyper-heuristics are a class of algorithms that dynamically choose heuristics during the search process.Numerous selection hyper-heuristics have different imple-mentation strategies.However,comparisons between them are lacking in the literature,and previous works have not highlighted the beneficial and detrimental implementation methods of different components.The question is how to effectively employ them to produce an efficient search heuristic.Furthermore,the algorithms that competed in the inaugural CHeSC have not been collectively reviewed.This work conducts a review analysis of the top twenty competitors from this competition to identify effective and ineffective strategies influencing algorithmic performance.A summary of the main characteristics and classification of the algorithms is presented.The analysis underlines efficient and inefficient methods in eight key components,including search points,search phases,heuristic selection,move acceptance,feedback,Tabu mechanism,restart mechanism,and low-level heuristic parameter control.This review analyzes the components referencing the competition’s final leaderboard and discusses future research directions for these components.The effective approaches,identified as having the highest quality index,are mixed search point,iterated search phases,relay hybridization selection,threshold acceptance,mixed learning,Tabu heuristics,stochastic restart,and dynamic parameters.Findings are also compared with recent trends in hyper-heuristics.This work enhances the understanding of selection hyper-heuristics,offering valuable insights for researchers and practitioners aiming to develop effective search algorithms for diverse problem domains.
基金Hunan Province Social Science Achievements Evaluation Committee Project(XSP2023WXC039)Scientific Research Fund of Hunan Provincial Education Department(22B1037)。
文摘Qigong is an important part of traditional Chinese health preservation culture,and the accurate translation of its terms is of great significance for international communication.Currently,there are many deficiencies in the translation of Qigong terms,such as a lack of systematicity and inconsistent translations.Based on hermeneutics theory,this study analyzes the factors influencing the acceptance of Qigong term translations,and constructs an evaluation model for translation acceptance,covering three dimensions:culture,language,and readers.Accordingly,translation strategies are proposed,including culturally adaptive translation,optimization of language structure,reader stratification strategies,horizon fusion,and the hermeneutic circle,etc.The aim is to balance the cultural connotations and readers’acceptance,and to promote the international communication of Qigong culture.
基金Euskal Herriko Unibertsitatea(UPV/EHU)ECRI Ethics in Finance&Social Value GIU22/003Fundacion Emilio Soldevilla para la Investigacion y el Desarrollo en Economia de la Empresa(FESIDE)BOPV2020.
文摘The use of electronic currency for transactions,denoting a cashless paradigm,has become increasingly common.However,this financial innovation is not prevalent in all countries.This study aims to explain the discrepancies across countries,including individual and country factors.It may be superficially posited that this lag in development stems from individual or microlevel usage challenges.However,the application of the Technology Acceptance Model highlights the presence of overarching characteristics conducive to extensive adoption.Thus,an additional stratum,the multilevel perspective,needs to be examined.This analytical framework incorporates not only individual attributes but also the sociotechnical framework or mesolevel factors in which they operate.A multilevel econometric model is used.The results of these analyses show that the impact on the adoption of cashless payments extends beyond individual factors(attitude to technology use,perceived usefulness,and perceived ease of use).Our primary contribution,conceptually and empirically,is to broaden the analysis vision.A comprehensive multilevel analysis revealed that broader contextual elements,such as infrastructure and national skills,exert a significant influence on the adoption of cashless transactions.Consequently,the widespread acceptance of cashless payment methods is not only contingent on individual choices but is also a collective phenomenon in which the surrounding environment plays a crucial role as a catalyst for the end users in the cashless economy.
文摘Objectives:This study aimed to assess the reliability and validity of the abbreviated Committed Action Questionnaire(CAQ-8)in a cohort of 1635 Chinese university students.Methods:Participants completed the Chinese version of the CAQ-8 along with other standardized measures,including the Acceptance and Action Questionnaire-II(AAQ-II),the Valuing Questionnaire(VQ),the Satisfaction with Life Scale(SWLS),the Depression Anxiety Stress Scales(DASS-21),and the World Health Organization Fiveitem Well-Being Index(WHO-5).A retest was conducted one month later with 300 valid responses.Results:Exploratory factor analysis(n=818)identified a 2-factor structure,confirmed through validated factor analysis(n=817),showing good fit indices(CFI=0.990,RMSEA=0.040).Measurement equivalence across genders was established.The CAQ-8 showed significant positive correlations with life satisfaction,mental health,and values,and negative correlations with depression,anxiety,stress,and experiential avoidance.The scale demonstrated good internal consistency(Cronbach’sα=0.76)and retest reliability(ICC=0.70).Network analysis confirmed the robustness of the 2-factor model,with item 4 in CAQ-8 identified as a core item.Conclusion:The CAQ-8 is a reliable and valid tool for measuring committed action within the psychological flexibility model in Chinese populations.
基金supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University(IMSIU)(Grant Number IMSIU-DDRSP2501).
文摘This study introduces the type-I heavy-tailed Burr XII(TIHTBXII)distribution,a highly flexible and robust statistical model designed to address the limitations of conventional distributions in analyzing data characterized by skewness,heavy tails,and diverse hazard behaviors.We meticulously develop the TIHTBXII’s mathematical foundations,including its probability density function(PDF),cumulative distribution function(CDF),and essential statistical properties,crucial for theoretical understanding and practical application.A comprehensive Monte Carlo simulation evaluates four parameter estimation methods:maximum likelihood(MLE),maximum product spacing(MPS),least squares(LS),and weighted least squares(WLS).The simulation results consistently show that as sample sizes increase,the Bias and RMSE of all estimators decrease,with WLS and LS often demonstrating superior and more stable performance.Beyond theoretical development,we present a practical application of the TIHTBXII distribution in constructing a group acceptance sampling plan(GASP)for truncated life tests.This application highlights how the TIHTBXII model can optimize quality control decisions by minimizing the average sample number(ASN)while effectively managing consumer and producer risks.Empirical validation using real-world datasets,including“Active Repair Duration,”“Groundwater Contaminant Measurements,”and“Dominica COVID-19 Mortality,”further demonstrates the TIHTBXII’s superior fit compared to existing models.Our findings confirm the TIHTBXII distribution as a powerful and reliable alternative for accurately modeling complex data in fields such as reliability engineering and quality assessment,leading to more informed and robust decision-making.
基金supported by a grant from University of Social Welfare and Rehabilitation Sciences for the research expenses.
文摘Background Schizophrenia is characterised by pervasive cognitive deficits that significantly impair daily functioning and quality of life.Pharmacological treatments have limited efficacy in addressing these deficits,highlighting the need for adjunctive interventions like computerised cognitive training(CCT).Aims This study aimed to evaluate the effects of a 30-session CCT programme on mental well-being and cognitive performance in individuals with schizophrenia.Additionally,it assessed the usability and acceptability of CCT in this population.Methods A double-blind,randomised clinical trial was conducted with 54 participants assigned to intervention and control groups.Cognitive and mental health outcomes were assessed using validated tools such as the Depression Anxiety Stress Scale 21,the Warwick-Edinburgh Mental Wellbeing Scale and the Cambridge Neuropsychological Test Automated Battery.Usability was measured with the System Usability Scale(SUS).Assessments were conducted at baseline,post-intervention and 3 months post-follow-up.Results The CCT intervention significantly improved mental well-being,reduced stress and enhanced working memory(paired associate learning,spatial working memory and spatial span)compared with controls.However,no significant effects were observed for anxiety,depression or executive function.Usability scores were high(SUS=83.51),and compliance rates were strong(92.7%),indicating favourable participant engagement.Conclusion CCT demonstrated potential as an adjunctive treatment for schizophrenia,with significant improvements in targeted cognitive and mental health domains.The high usability and compliance rates support its feasibility for broader implementation.Further research is needed to optimise protocols and explore long-term benefits.CCT offers a promising approach to addressing mental health and cognitive challenges in schizophrenia,particularly for stress and working memory.Its usability and acceptability suggest it could be seamlessly integrated into clinical practice.
文摘This study aims to understand the implementation of artificial intelligence(AI)-enabled technology in banking from a user perspective.For this purpose,we examine customer intention to adopt ChatGPT(Generative Pretrained Transformer)in performing banking services.To assess the study objectives,this research integrates two well-established technology models,namely,the Task-Technology Fit(TTF)Model and the Technology Acceptance Model(TAM).This study employed a quantitative research approach and utilized a survey-based questionnaire to collect primary data from banking customers.We analyzed a total of 424 valid responses via the partial least squares structural equation modeling(PLS-SEM)approach for the results and estimations.The results of this study indicate that the TTF and TAM have a positive and significant effect on customers’intention to adopt ChatGPT in banking services.Additionally,this research revealed that ChatGPT knowledge plays a significant role as a moderator in predicting user intentions toward ChatGPT adoption.Our findings provide unique insights into the contemporary concept of AI-enabled technology adoption in the banking sector.This study highlights various aspects of the theoretical and managerial implications for managers and academicians.Theoretically,this study provides an in-depth analysis by integrating the TTF with an extended TAM.Practically,the findings of this study enhance strategic planning and informed decisions in the banking sector regarding the use of ChatGPT.This study also assumes that this is the first attempt in the Pakistani banking sector to analyze customer intentions to adopt ChatGPT in their banking transactions.Finally,our study limitations provide a discussion forum for subsequent studies that adapt or imitate our methodology in other demographics or countries.This will encourage the development of AI technologies in financial companies.
基金The 2025 Guizhou University of Finance and Economics University-level Project“Research on the‘Action-Learning’Strategy of Artificial Intelligence in Complex Tasks”(Project No.:2025BAZYSY287)。
文摘The Master Intelligent interview is based on the Stimulus-Organism-Response(SOR)theory,this study integrates key constructs from the Technology Acceptance Model(TAM)and the Theory of Planned Behavior(TPB),namely attitude and behavioral intention,to develop a dual-path model of how AI empowerment influences college graduates’acceptance of intelligent interview technology.Taking AI empowerment as the independent variable,perceived risk and attitude as mediating variables,and behavioral intention as the outcome variable,the study employs questionnaire surveys and structural equation modeling(SEM)for empirical analysis.The results show that AI empowerment exerts a significant positive impact on attitude,perceived risk,and behavioral intention.Both perceived risk and attitude play significant mediating roles between AI empowerment and behavioral intention.Interestingly,perceived risk does not suppress behavioral intention;instead,it positively promotes it through a“rational trade-off”mechanism.Moreover,perceived risk and attitude form a significant chain-mediated pathway,revealing a continuous psychological transmission mechanism of“rational cognition-emotional adjustment-behavioral decision-making”.This study enriches the theoretical framework of AI technology acceptance,extends the application of the SOR model to the context of intelligent recruitment,and provides valuable implications for optimizing university career guidance and enterprise recruitment systems.
基金supported by the National Natural Science Foundation of China(71934003,72322008,and72348003).
文摘Payment for Ecosystem Services(PES)has been widely acknowledged as an effective tool for mitigating grassland degradation and enhancing ecosystem services provision.However,critical factors,such as herders'willingness to accept(WTA)preferences and compensation expectations,are often overlooked,leading to insufficient effectiveness of PES initiatives.This study focused on grassland ecological compensation policy(GECP),quantifying herders'WTA compensation for grassland grazing bans.Through face-to-face surveys and employing the contingent valuation method,we estimated households'WTA for participating in a grassland conservation program to bolster ecosystem service provision.Our findings indicated that herders required an average compensation of 237 CNY mu^(-1)yr^(-1)to engage in the grazing ban program.Notably,herders'environmental awareness positively influenced their willingness to participate,whereas larger family sizes were negatively correlated with WTA.Additionally,herders in better health,with higher livestock incomes or categorized as semi-herders,tended to accept lower compensation levels.These insights are crucial for improving the effectiveness of GECP and provide valuable reference points for similar analyses in economically disadvantaged and ecologically fragile regions.
文摘The advancement of generative AI has reshaped EFL education,particularly in EFL writing.This qualitative case study investigates the perceptions of Chinese college students and EFL teachers towards the integration of Gen AI in EFL writing.The research involved semi-structured interviews with 13 students and 10 EFL teachers.Thematic analysis,guided by the Technology Acceptance Model(TAM),was employed to analyze the qualitative data.The findings reveal the perceptions of students and teachers regarding the role of generative AI in EFL writing.Regarding usefulness,students appreciate Gen AI for reducing writing difficulty and enhancing efficiency,though some note that it may produce logical flaws and misinformation.Teachers share similar perceptions,but stress effectiveness depends on students’language level.Some teachers also advocate traditional writing initially to build foundational skills.On the ease of use,most students find it easy interacting with Gen AI but mention dialogical understanding challenges.Both students and teachers stress clear prompts are crucial,indicating“AI interaction literacy”should be part of teaching.Moreover,teachers worry that Gen AI’s ease of use may lead to over-reliance.These results reveal contradicting goals of using Gen AI:students value efficiency,while teachers focus on ability cultivation.These insights guide more effective integration of Gen AI in EFL writing education.
基金funded by Jiangsu Education Department(Ref.No.2022SJYB0750).
文摘The introduction of the digital renminbi(eCNY)by the People’s Bank of China serves as a means for the central bank to effectively comprehend macroeconomic dynamics and enhance payment infrastructure within the domestic market.Among the pioneering digital currencies,the eCNY is at the forefront of technological research and development,pilot implementation,and the establishment of a robust system.Thus,employing the unified theory of acceptance and use of technology,this study aims to explore the factors shaping the adoption of the eCNY and to determine the mediating effects of intention toward the eCNY and the moderating role of age and gender among various relationships.A cross-sectional survey methodology was deployed to collect data from pilot communities situated within the Yangtze River Delta,Pearl River Delta,and Beijing–Tianjin–Hebei regions.The empirical analysis comprised 809 valid online questionnaires,and the examination was conducted through structural equation modeling employing the partial least squares technique,ultimately subjecting the conceptual model to a comprehensive assessment.The results for intention to use the eCNY indicate that performance expectancy,effort expectancy,social influence,and perceived government policy have significant effects.Facilitating conditions and intentions toward the eCNY positively influenced its actual use.According to the findings of this study,age and sex did not moderate the effect of each hypothesis on the intention to use in the research model.This study breaks new ground by investigating the adoption of the eCNY,a novel form of currency,highlighting its multifaceted nature and providing empirical evidence for a comprehensive model encompassing psychological,social,and contextual factors.This study employs social surveys to identify obstacles in the process of promoting the widespread adoption of the eCNY and offers suggestions to the central bank and government to increase user enthusiasm and decrease user perceptions of risk,thereby promoting its widespread adoption.
文摘BACKGROUND Acceptance and commitment therapy(ACT)is a third-generation therapy that appears to be a promising psychological intervention for psychotic disorders.While several systematic reviews and meta-analyses that address the efficacy of ACT for psychosis have been conducted,no systematic review has specifically focused on the application of ACT to the early stages of psychosis.AIM To review the state of the art regarding the feasibility and efficacy of treating early psychosis(EP)with ACT-based interventions.METHODS First,we describe the foundations of the ACT model to provide the background required to contextualize the main objective of this review.Second,we searched the PubMed and PsycINFO databases for studies published up to January 2025 and identified eight studies that met our selection criteria.The systematic review was conducted in accordance with the PRISMA guidelines and the critical appraisal checklist provided by the Joanna Briggs Institute for randomized controlled trials(RCTs).RESULTS All studies were published after 2019.Among the reviewed studies,five were RCTs with a total combined sample of 399 nonoverlapping participants.The methodological quality was moderate for RCTs.The results showed that ACTbased treatments are feasible and improve psychotic symptoms,medication adherence,and global functioning in patients with EP.Furthermore,preliminary evidence exists for the benefits of group-based and online-delivered programs and those that combine face-to-face therapy with novel real-time digital interventions,such as“ecological momentary intervention”,to apply therapeutic con cepts to real life.CONCLUSION ACT-based treatments in the early stages of psychosis are feasible and improve symptoms,treatment adherence,and self-care skills.Although promising,these results are inconclusive.Further research is required.
文摘BACKGROUND Military personnel frequently face unique psychological challenges due to highstress environments,which increase the risk of mental health issues like anxiety and depression.Acceptance and commitment therapy(ACT)has shown potential in addressing these issues by enhancing psychological flexibility and resilience.AIM To systematically evaluate the effectiveness of ACT in improving the mental health of military personnel.Through a scoping review and meta-analysis,we quantitatively assess the impact of ACT on psychological outcomes,guiding future research and clinical practice.METHODS Relevant literature was searched systematically from database inception to June 30,2023,across multiple databases,including PubMed,Web of Science,Cochrane Library,and Embase.The Joanna Briggs Institute's(JBI)scoping review guidelines were used as the methodological framework.Meta-analysis was performed using a random-effects model,and publication bias was assessed through Egger's regression test and Begg's funnel plot.RESULTS Twenty-six studies were included,highlighting the application of ACT in addressing PTSD,chronic pain,anxiety,and depression among military personnel.The meta-analysis of eight studies demonstrated a significant positive effect of ACT on mental health,with a pooled mean difference of-4.99(95%CI:-6.53 to-3.45).Despite high heterogeneity(I^(2)=63%),sensitivity analyses confirmed the robustness of the findings.CONCLUSION This study underscores the potential of ACT as an effective intervention for improving the mental health of military personnel.Future research should focus on large-scale,multi-center RCTs to further validate these findings,particularly within diverse military populations.
基金supported by the Hunan Province Municipal Natural Science Foundation(2022JJ30018)the Hunan Province Health Commission Science Foundation(B202301037899)to WNL。
文摘This study explores whether the current external quality assessment(EQA)level and acceptable bias for basic semen analysis in China are clinically useful.We collected data of semen EQA from Andrology laboratories in the Hunan Province(China)in 2022 and searched for data in the published literature from January2000 to December 2023 in China.On the basis of these data,we analyzed the coefficients of variation and acceptable biases of different quality control materials for basic semen analysis through robust statistics.We compared these findings with quality specifications based on biological variation from optimal,desirable,and minimum levels of bias to seek a unified and more suitable semen EQAbias evaluation standard for China's national conditions.Different sources of semen quality control material exhibited considerable variation in acceptable biases among laboratories,ranging from 8.2%to 56.9%.A total of 50.0% of the laboratories met the minimum quality specifications for progressive motility(PR),whereas 100.0%and 75.0%of laboratories met only the minimum quality specifications for sperm concentration and total motility(nonprogressive[NP]+PR),respectively.The Z value for sperm concentration and PR+NP was equivalent to the desirable performance specification,whereas the Z value for PR was equivalent only to the minimum performance specification.This study highlights the feasibility of operating external quality assessment schemes for basic semen analysis using quality specifications based on biological variation.These specifications should be unified among external quality control(EQC)centers based on biological variation.
文摘The integration of Learning Management Systems(LMSs)into educational settings is becoming increasingly common,especially in the digital field.Understanding the factors influencing the acceptance and effective use of LMS is essential to ensure successful implementation.The Technology Acceptance Model(TAM)has been widely used to check user acceptance of various technologies,including LMS.This study conducted a systematic literature review(SLR)to analyze existing research on the application of TAM in the context of LMS.A comprehensive search of the academic database was conducted to identify relevant studies published in 2010-2025.The review synthesizes findings related to the core constructs of TAM—Perceived Usability,Perceived Ease of Use,Behavioral Intent,and Actual Use—as well as extended factors such as system quality,self-efficacy,and social influence.The results reveal circumstantial evidence supporting the predictive power of TAM in LMS adoption,while also highlighting emerging trends and gaps in the literature.This review contributes to a deeper understanding of user acceptance in a digital learning environment and provides recommendations for future research and practical LMS implementation strategies.
文摘This study aimed to confirm the hierarchical factor structure and the criterion validity of the Brief Mental Flexibility Questionnaire(BMFQ)in the South African context.Three hundred and eighty-five employees from a public institution in South Africa participated in the study.Confirmatory factor analysis affirmed the structural validity of the measure,comprising a general factor of mentalflexibility and six distinct processes consistent with acceptance and commitment therapy(ACT):cognitive,affective,perceptual,attentional,motivational,and behavioralflexibility.Multiple regression analysis revealed differential predictive weights of these dimensions for general mental health,with cognitiveflexibility as the primary predictor.Motivationalflexibility emerged as the strongest predictor of adaptive performance.The BMFQ offers practitioners the ability to measure an individual’s overall mentalflexibility score alongside specificflexibility dimensions,enabling targeted interventions,employee comparisons,and organisational trend analysis.
