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
New energy vehicles are distinguished by their environmentally friendly characteristics;however,their sales remain low compared with those of fossil fuel vehicles.This study identifies the key factors influencing cons...New energy vehicles are distinguished by their environmentally friendly characteristics;however,their sales remain low compared with those of fossil fuel vehicles.This study identifies the key factors influencing consumer purchases of new energy vehicles with the aim of increasing sales and promoting the development of the new energy vehicle industry.Machine learning(ML)techniques were employed to analyze more than 26000 consumer reviews of new energy vehicles and identify the factors influencing their purchasing decisions.Subsequently,a hybrid simulation model was constructed using the complex adaptive system framework.The model combines the strengths of ML,multi-agent modeling,and system dynamics modeling,thereby enhancing its capacity to identify key factors.The model comprises two categories of manufacturers:producers of new energy vehicles and producers of fossil fuel vehicles.Dynamic simulations were conducted using the AnyLogic simulation platform.The findings indicated a negative correlation between consumer income and demand for new energy vehicles.Conversely,expansions in the interior space of new energy vehicles and favorable consumer perceptions of their environmental benefits have contributed to increased demand for these vehicles.Therefore,rather than exclusively focusing on price advantages,it would be more beneficial to prioritize expanding new energy vehicles’interior space and disseminating information about their environmental benefits to consumers.It seems reasonable to posit that these strategies would increase consumer willingness to purchase new energy vehicles in the long term.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
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 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
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
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
Objectives:College students face increasing mental health challenges.Although Acceptance and CommitmentTherapy(ACT)is effective,the efficacy of Internet-based ACT(iACT)needs further exploration.Methods:This study exam...Objectives:College students face increasing mental health challenges.Although Acceptance and CommitmentTherapy(ACT)is effective,the efficacy of Internet-based ACT(iACT)needs further exploration.Methods:This study examines the efficacy of iACT on college students’mental health through a randomized controlled trial.We recruited 90 college students(19.16±1.02 years old)and randomly divided them into the iACT group,face-to-face ACT group,and control group.The effects of the interventions were evaluated using the comprehensive assessment of ACT processes(CompACT)and the Depression Anxiety Stress Scales(DASS-21).Results:Two-factor repeated measures ANOVA revealed a significant time main effect of iACT.Face-to-face ACT and iACT effectively improved college students’psychological flexibility[F(2,83)=18.78,p<0.001,η^(2)=0.18]and alleviated their negative emotions[F(2,82)=41.17,p<0.001,η^(2)=0.36].Face-to-face ACT exhibited sustained effects on improving participants’psychological flexibility and alleviating their negative emotions(p<0.001),while iACT showed no sustained effect on improving participants’psychological flexibility(p>0.05).Conclusion:While iACT and face-to-face ACT are effective shortterm interventions,face-to-face ACT demonstrates superior sustainability.Integrating guided sessions into iACT may enhance long-term outcomes.These findings advocate for blended interventions to address college students’mental health needs,particularly in resource-limited settings.展开更多
According to a BBC report,2016 marked the year when virtual reality(VR)transitioned from concept to reality1.VR has emerged in various fields and is highly effective in many ways.The implementation of VR technology in...According to a BBC report,2016 marked the year when virtual reality(VR)transitioned from concept to reality1.VR has emerged in various fields and is highly effective in many ways.The implementation of VR technology in teaching and learning has gradually become popular.Through the 3D realistic learning environment,learners are immersed in the virtual environment.Language education needs to create an immersive English learning environment and atmosphere.Therefore,in order to understand the substantial benefits of integrating VR into English language acquisition,this research will adopt the VR teaching materials to Freshman English Courses.For students who will participate in the use of VR technology to learn English,the pre-test,post-test,and surveys will be analyzed.Through the analysis of questionnaire data,explore whether the VR model is effective in enhancing learning interest and motivation,and evaluate the effectiveness of enhancing language ability learning.This research is based on the Technology Acceptance Model,using Pivot Report and SPSS software to analyze the results of the tests.Pearson correlation coefficient analysis will be also adopted to explore the three aspects of the usage of VR:(a)Does VR really work for enhancing learning motivation and interest?;(b)To explore the feasibility of VR in the educational field analyzed by the Technology Acceptance Model(TAM,Technology Acceptance Model);and(c)Learning effectiveness of the participants.The results of this research will provide references for language teachers who would like to implement innovative teaching,enrich teaching materials,and enhance learning effectiveness.展开更多
This study investigates the adoption of carbon footprint tracking apps(CFAs)among Thai millennials,a critical element in addressing climate change.CFAs have yet to gain significant traction among users despite offerin...This study investigates the adoption of carbon footprint tracking apps(CFAs)among Thai millennials,a critical element in addressing climate change.CFAs have yet to gain significant traction among users despite offering personalized missions.Employing an extended Technology Acceptance Model(TAM)framework,we examine factors influencing CFA adoption intentions based on a sample of 30 environmentally conscious Thai millennials.Our findings indicate that perceived ease of use and enjoyment are crucial drivers of CFA adoption.Trust significantly impacts perceived usefulness,while enjoyment influences perceived ease of use.The study underscores the importance of user experience(UX)and enjoyment in driving adoption,highlighting the need for intuitive interfaces and engaging features.This research provides comprehensive insights into CFA adoption in Thailand by integrating TAM with external trust and perceived enjoyment factors.These findings offer valuable guidance for app developers,policymakers,and marketers,emphasizing the critical role of user experience and fun in fostering widespread CFA adoption.We discuss implications for stakeholders and suggest directions for future research,including larger-scale studies and cross-cultural comparisons within Southeast Asia.This research contributes to SDG 13(Climate Action)and SDG 12(Responsible Consumption and Production).展开更多
Objective We aimed to understand the willingness and barriers to the acceptance of tuberculosis(TB)preventive treatment(TPT)among people with latent TB infection(LTBI)in China.Methods A multicenter cross-sectional stu...Objective We aimed to understand the willingness and barriers to the acceptance of tuberculosis(TB)preventive treatment(TPT)among people with latent TB infection(LTBI)in China.Methods A multicenter cross-sectional study was conducted from May 18,2023 to December 31,2023 across 10 counties in China.According to a national technical guide,we included healthcare workers,students,teachers,and others occupations aged 15-65 years as our research participants.Results Overall,17.0%(183/1,077)of participants accepted TPT.There were statistically significant differences in the acceptance rate of TPT among different sexes,ages,educational levels,and occupations(P<0.05).The main barriers to TPT acceptance were misconceptions that it had uncertain effects on prevention(57.8%,517/894),and concerns about side effects(32.7%,292/894).Conclusion An enhanced and comprehensive understanding of LTBI and TPT among people with LTBI is vital to further expand TPT in China.Moreover,targeted policies need to be developed to address barriers faced by different groups of people.展开更多
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fund support was received from Sichuan Philosophy and Social Science Foundation Program[Grant No.SCJJ24ND066].
文摘New energy vehicles are distinguished by their environmentally friendly characteristics;however,their sales remain low compared with those of fossil fuel vehicles.This study identifies the key factors influencing consumer purchases of new energy vehicles with the aim of increasing sales and promoting the development of the new energy vehicle industry.Machine learning(ML)techniques were employed to analyze more than 26000 consumer reviews of new energy vehicles and identify the factors influencing their purchasing decisions.Subsequently,a hybrid simulation model was constructed using the complex adaptive system framework.The model combines the strengths of ML,multi-agent modeling,and system dynamics modeling,thereby enhancing its capacity to identify key factors.The model comprises two categories of manufacturers:producers of new energy vehicles and producers of fossil fuel vehicles.Dynamic simulations were conducted using the AnyLogic simulation platform.The findings indicated a negative correlation between consumer income and demand for new energy vehicles.Conversely,expansions in the interior space of new energy vehicles and favorable consumer perceptions of their environmental benefits have contributed to increased demand for these vehicles.Therefore,rather than exclusively focusing on price advantages,it would be more beneficial to prioritize expanding new energy vehicles’interior space and disseminating information about their environmental benefits to consumers.It seems reasonable to posit that these strategies would increase consumer willingness to purchase new energy vehicles in the long term.
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 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.
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.
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.
基金funded by the Education and Teaching Reform Research Major Project of Anhui Province(2022xqhz023)(2023sx170).
文摘Objectives:College students face increasing mental health challenges.Although Acceptance and CommitmentTherapy(ACT)is effective,the efficacy of Internet-based ACT(iACT)needs further exploration.Methods:This study examines the efficacy of iACT on college students’mental health through a randomized controlled trial.We recruited 90 college students(19.16±1.02 years old)and randomly divided them into the iACT group,face-to-face ACT group,and control group.The effects of the interventions were evaluated using the comprehensive assessment of ACT processes(CompACT)and the Depression Anxiety Stress Scales(DASS-21).Results:Two-factor repeated measures ANOVA revealed a significant time main effect of iACT.Face-to-face ACT and iACT effectively improved college students’psychological flexibility[F(2,83)=18.78,p<0.001,η^(2)=0.18]and alleviated their negative emotions[F(2,82)=41.17,p<0.001,η^(2)=0.36].Face-to-face ACT exhibited sustained effects on improving participants’psychological flexibility and alleviating their negative emotions(p<0.001),while iACT showed no sustained effect on improving participants’psychological flexibility(p>0.05).Conclusion:While iACT and face-to-face ACT are effective shortterm interventions,face-to-face ACT demonstrates superior sustainability.Integrating guided sessions into iACT may enhance long-term outcomes.These findings advocate for blended interventions to address college students’mental health needs,particularly in resource-limited settings.
文摘According to a BBC report,2016 marked the year when virtual reality(VR)transitioned from concept to reality1.VR has emerged in various fields and is highly effective in many ways.The implementation of VR technology in teaching and learning has gradually become popular.Through the 3D realistic learning environment,learners are immersed in the virtual environment.Language education needs to create an immersive English learning environment and atmosphere.Therefore,in order to understand the substantial benefits of integrating VR into English language acquisition,this research will adopt the VR teaching materials to Freshman English Courses.For students who will participate in the use of VR technology to learn English,the pre-test,post-test,and surveys will be analyzed.Through the analysis of questionnaire data,explore whether the VR model is effective in enhancing learning interest and motivation,and evaluate the effectiveness of enhancing language ability learning.This research is based on the Technology Acceptance Model,using Pivot Report and SPSS software to analyze the results of the tests.Pearson correlation coefficient analysis will be also adopted to explore the three aspects of the usage of VR:(a)Does VR really work for enhancing learning motivation and interest?;(b)To explore the feasibility of VR in the educational field analyzed by the Technology Acceptance Model(TAM,Technology Acceptance Model);and(c)Learning effectiveness of the participants.The results of this research will provide references for language teachers who would like to implement innovative teaching,enrich teaching materials,and enhance learning effectiveness.
文摘This study investigates the adoption of carbon footprint tracking apps(CFAs)among Thai millennials,a critical element in addressing climate change.CFAs have yet to gain significant traction among users despite offering personalized missions.Employing an extended Technology Acceptance Model(TAM)framework,we examine factors influencing CFA adoption intentions based on a sample of 30 environmentally conscious Thai millennials.Our findings indicate that perceived ease of use and enjoyment are crucial drivers of CFA adoption.Trust significantly impacts perceived usefulness,while enjoyment influences perceived ease of use.The study underscores the importance of user experience(UX)and enjoyment in driving adoption,highlighting the need for intuitive interfaces and engaging features.This research provides comprehensive insights into CFA adoption in Thailand by integrating TAM with external trust and perceived enjoyment factors.These findings offer valuable guidance for app developers,policymakers,and marketers,emphasizing the critical role of user experience and fun in fostering widespread CFA adoption.We discuss implications for stakeholders and suggest directions for future research,including larger-scale studies and cross-cultural comparisons within Southeast Asia.This research contributes to SDG 13(Climate Action)and SDG 12(Responsible Consumption and Production).
基金Public-Benefit Project on Tuberculosis Patient Care Action[09107].
文摘Objective We aimed to understand the willingness and barriers to the acceptance of tuberculosis(TB)preventive treatment(TPT)among people with latent TB infection(LTBI)in China.Methods A multicenter cross-sectional study was conducted from May 18,2023 to December 31,2023 across 10 counties in China.According to a national technical guide,we included healthcare workers,students,teachers,and others occupations aged 15-65 years as our research participants.Results Overall,17.0%(183/1,077)of participants accepted TPT.There were statistically significant differences in the acceptance rate of TPT among different sexes,ages,educational levels,and occupations(P<0.05).The main barriers to TPT acceptance were misconceptions that it had uncertain effects on prevention(57.8%,517/894),and concerns about side effects(32.7%,292/894).Conclusion An enhanced and comprehensive understanding of LTBI and TPT among people with LTBI is vital to further expand TPT in China.Moreover,targeted policies need to be developed to address barriers faced by different groups of people.
