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
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
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
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 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 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
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
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
In recent years,the telecommunications sector is no longer limited to traditional communications,but has become the backbone for the use of data,content and digital applications by individuals,governments and companie...In recent years,the telecommunications sector is no longer limited to traditional communications,but has become the backbone for the use of data,content and digital applications by individuals,governments and companies to ensure the continuation of economic and social activity in light of social distancing and total closure inmost countries in the world.Therefore,electronic government(e-Government)andmobile government(m-Government)are the results of technological evolution and innovation.Hence,it is important to investigate the factors that influence the intention to use m-Government services among Jordan’s society.This paper proposed a new m-Government acceptance model in Jordan(AMGS);this model combines the Information System(IS)Success Factor Model and Hofstede Cultural Dimensions Theory.The study was conducted by surveying different groups of the Jordanian community.Astructured questionnaire was used to collect data from203 respondents.Multiple regression analysis has been conducted to analyze the data.The results indicate that the significant predictors of citizen intention to use m-Government services in Jordan are Information Quality,Service Quality,Uncertainty Avoidance,and Indulgence vs.restraint.While,the results also suggest that Power Distance is not a significant predictor of citizen intention to use m-Government services.展开更多
In order to deeply analyze the differences in the acceptance of autonomous driving technology among different gender groups,a multiple indicators and multiple causes model was constructed by integrating a technology a...In order to deeply analyze the differences in the acceptance of autonomous driving technology among different gender groups,a multiple indicators and multiple causes model was constructed by integrating a technology acceptance model and theory of planned behavior to comprehensively reveal the gender differences in the influence mechanisms of subjective and objective factors.The analysis is based on data collected from Chinese urban residents.Among objective factors,age has a significant negative impact on women's perceived behavior control and a significant positive impact on perceived ease of use.Education has a significant positive impact on men's perceived behavior control,and has a strong positive impact on women's perceived usefulness(PU).For men,income and education are found to have strong positive impacts on perceived behavior control.Among subjective factors,perceived ease of use(PEU)has the greatest influence on women's behavior intention,and it is the only influential factor for women's intention to use autonomous driving technology,with an influence coefficient of 0.72.The influencing path of men's intention to use autonomous driving technology is more complex.It is not only directly affected by the significant and positive joint effects of attitude and PU,but also indirectly affected by perceived behavior controls,subjective norms,and PEU.展开更多
Blogs have permeated into our daily lives at a fast speed, and various kinds of blog spaces have attracted our attention. However, little effort has been made on studying the users' motivation to participate in bl...Blogs have permeated into our daily lives at a fast speed, and various kinds of blog spaces have attracted our attention. However, little effort has been made on studying the users' motivation to participate in blog activities. This paper aims to construct a theoretical model about the blog adoption based on technology acceptance model(TAM theory), social capital theory and social exchange theory, and put forward 18 related hypotheses. Then the survey method is adopted to analyze the data from 208 questionnaires using the SPSS and LISREL tools, and to examine the theoretical model and hypotheses. Finally, the paper makes a discussion from five aspects due to the results of data analysis, including individual driving factors, group driving factors, community driving factors, technology acceptance factors and moderating variables. The results show that curiosity/enjoyment, user's experience, social interaction and social identification will greatly affect users' motivation to accept a blog; meanwhile, perceived ease of use, exchange cost and trust will partially influence users' intention to participate in blog activities. The results also suggest that age and education degrees have significant moderating effects on users' acceptance and updating of blogs.展开更多
E-commerce present opportunities and challenges for businesses, especially for micro-enterprises. This paper proposed a theoretical framework that in line with the unique characteristics of E-commerce acceptance in mi...E-commerce present opportunities and challenges for businesses, especially for micro-enterprises. This paper proposed a theoretical framework that in line with the unique characteristics of E-commerce acceptance in micro-enterprises in Chengdu, which is based on the unified theory of acceptance and use of technology （UTAUT） model. The extending UTAUT model includes key constructs of performance expectation, perceived behavioral control and the characteristics of owner-managers.展开更多
Turbulent market conditions,well-publicized advantages,and potential individual,social,and environmental risks make blockchain-based cryptocurrencies a popular focus of the public and scientific communities.This paper...Turbulent market conditions,well-publicized advantages,and potential individual,social,and environmental risks make blockchain-based cryptocurrencies a popular focus of the public and scientific communities.This paper contributes to the literature on the future of crypto markets by analyzing a promising cryptocurrency innovation from a customer-centric point of view;it explores the factors influencing user acceptance of a hypothetical social network-backed cryptocurrency in Central Europe.The research model adapts an internationally comparative framework and extends the well-established unified theory of acceptance and use of the technology model with the concept of perceived risk and trust.We explore user attitudes with a survey on a large Hungarian sample and analyze the database with consistent partial least square structural equation modeling methodology.The results show that users would be primarily influenced by the expected usefulness of the new technology assuming it is easy to use.Furthermore,our analysis also highlights that while social influence does not seem to sway user opinions,consumers are susceptible to technological risks,and trust is an important determinant of their openness toward innovations in financial services.We contribute to the cryptocurrency literature with a future-centric technological focus and provide new evidence from an under-researched geographic region.The results also have practical implications for business decision-makers and policymakers.展开更多
Consumer acceptance of cultured meat is expected to depend on a wide diversity of determinants ranging from technologyrelated perceptions to product-specific expectations, and including wider contextual factors like m...Consumer acceptance of cultured meat is expected to depend on a wide diversity of determinants ranging from technologyrelated perceptions to product-specific expectations, and including wider contextual factors like media coverage, public involvement, and trust in science, policy and society. This paper discusses the case of cultured meat against this multitude of possible determinants shaping future consumer acceptance or rejection. The paper also presents insights from a primary exploratory study performed in April 2013 with consumers from Flanders（Belgium）（n=180）. The concept of cultured meat was only known（unaided） by 13% of the study participants. After receiving basic information about what cultured meat is, participants expressed favorable expectations about the concept. Only 9% rejected the idea of trying cultured meat, while two thirds hesitated and about quarter indicated to be willing to try it. The provision of additional information about the environmental benefits of cultured meat compared to traditional meat resulted in 43% of the participants indicating to be willing to try this novel food, while another 51% indicated to be ‘maybe＇ willing to do so. Price and sensory expectations emerged as major obstacles. Consumers eating mostly vegetarian meals were less convinced that cultured meat might be healthy, suggesting that vegetarians may not be the ideal primary target group for this novel meat substitute. Although exploratory rather than conclusive, the findings generally underscore doubts among consumers about trying this product when it would become available, and therefore also the challenge for cultured meat to mimic traditional meat in terms of sensory quality at an affordable price in order to become acceptable for future consumers.展开更多
Rapid global population growth has caused an increasing need for products containing protein.Meat products are the most common high-protein food source,but impact the environment,cause animal welfare issues,and raise ...Rapid global population growth has caused an increasing need for products containing protein.Meat products are the most common high-protein food source,but impact the environment,cause animal welfare issues,and raise public health concerns.Consumer health and food safety are paramount to the food industry.Both the scientists and food industry are actively seeking plant proteins to substitute for animal-sourced proteins.Plant proteins have a well-balanced amino acid composition,and exhibit great potential for replacing meat via the development of healthy,high-protein,low-saturated fat,cholesterol-free,and nutritionally similar meat-like products.Generally,meat analogue formulations are specially designed and processing conditions are optimized to obtain the texture and bite of real animal meat.This article focuses on plant-based meat analogues,and covers aspects regarding processing,products,quality,and nutritional and structural modifications.Product safety consciousness and consumer acceptance are also discussed.Challenges and perspectives for future research concerning nonmeat products are presented.展开更多
In this article, an innovation diffusion model with the nonlinear acceptance is proposed to describe the dynamics of three competing products in a market. It is proved that the model admits a unique positive equilibri...In this article, an innovation diffusion model with the nonlinear acceptance is proposed to describe the dynamics of three competing products in a market. It is proved that the model admits a unique positive equilibrium, which is globally stable by excluding the existence of periodic solutions and by using the theory of three dimensional competition systems.展开更多
As the popularity of open source projects,the volume of incoming pull requests is too large,which puts heavy burden on integrators who are responsible for accepting or rejecting pull requests.An accepted pull request ...As the popularity of open source projects,the volume of incoming pull requests is too large,which puts heavy burden on integrators who are responsible for accepting or rejecting pull requests.An accepted pull request prediction approach can help integrators by allowing them either to enforce an immediate rejection of code changes or allocate more resources to overcome the deficiency.In this paper,an approach CTCPPre is proposed to predict the accepted pull requests in GitHub.CTCPPre mainly considers code features of modified changes,text features of pull requests’description,contributor features of developers’previous behaviors,and project features of development environment.The effectiveness of CTCPPre on 28 projects containing 221096 pull requests is evaluated.Experimental results show that CTCPPre has good performances by achieving accuracy of 0.82,AUC of 0.76 and F1-score of 0.88 on average.It is compared with the state of art accepted pull request prediction approach RFPredict.On average across 28 projects,CTCPPre outperforms RFPredict by 6.64%,16.06%and 4.79%in terms of accuracy,AUC and F1-score,respectively.展开更多
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.
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 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.
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.
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.
基金This research funded by Al-Zaytoonah University of Jordan.
文摘In recent years,the telecommunications sector is no longer limited to traditional communications,but has become the backbone for the use of data,content and digital applications by individuals,governments and companies to ensure the continuation of economic and social activity in light of social distancing and total closure inmost countries in the world.Therefore,electronic government(e-Government)andmobile government(m-Government)are the results of technological evolution and innovation.Hence,it is important to investigate the factors that influence the intention to use m-Government services among Jordan’s society.This paper proposed a new m-Government acceptance model in Jordan(AMGS);this model combines the Information System(IS)Success Factor Model and Hofstede Cultural Dimensions Theory.The study was conducted by surveying different groups of the Jordanian community.Astructured questionnaire was used to collect data from203 respondents.Multiple regression analysis has been conducted to analyze the data.The results indicate that the significant predictors of citizen intention to use m-Government services in Jordan are Information Quality,Service Quality,Uncertainty Avoidance,and Indulgence vs.restraint.While,the results also suggest that Power Distance is not a significant predictor of citizen intention to use m-Government services.
基金The National Key Research and Development Program of China(No.2018YFB1601304)the National Natural Science Foundation of China(No.71871107)Philosophy and Social Science Foundation Project of Universities in Jiangsu Province(No.2020SJA2059).
文摘In order to deeply analyze the differences in the acceptance of autonomous driving technology among different gender groups,a multiple indicators and multiple causes model was constructed by integrating a technology acceptance model and theory of planned behavior to comprehensively reveal the gender differences in the influence mechanisms of subjective and objective factors.The analysis is based on data collected from Chinese urban residents.Among objective factors,age has a significant negative impact on women's perceived behavior control and a significant positive impact on perceived ease of use.Education has a significant positive impact on men's perceived behavior control,and has a strong positive impact on women's perceived usefulness(PU).For men,income and education are found to have strong positive impacts on perceived behavior control.Among subjective factors,perceived ease of use(PEU)has the greatest influence on women's behavior intention,and it is the only influential factor for women's intention to use autonomous driving technology,with an influence coefficient of 0.72.The influencing path of men's intention to use autonomous driving technology is more complex.It is not only directly affected by the significant and positive joint effects of attitude and PU,but also indirectly affected by perceived behavior controls,subjective norms,and PEU.
文摘Blogs have permeated into our daily lives at a fast speed, and various kinds of blog spaces have attracted our attention. However, little effort has been made on studying the users' motivation to participate in blog activities. This paper aims to construct a theoretical model about the blog adoption based on technology acceptance model(TAM theory), social capital theory and social exchange theory, and put forward 18 related hypotheses. Then the survey method is adopted to analyze the data from 208 questionnaires using the SPSS and LISREL tools, and to examine the theoretical model and hypotheses. Finally, the paper makes a discussion from five aspects due to the results of data analysis, including individual driving factors, group driving factors, community driving factors, technology acceptance factors and moderating variables. The results show that curiosity/enjoyment, user's experience, social interaction and social identification will greatly affect users' motivation to accept a blog; meanwhile, perceived ease of use, exchange cost and trust will partially influence users' intention to participate in blog activities. The results also suggest that age and education degrees have significant moderating effects on users' acceptance and updating of blogs.
文摘E-commerce present opportunities and challenges for businesses, especially for micro-enterprises. This paper proposed a theoretical framework that in line with the unique characteristics of E-commerce acceptance in micro-enterprises in Chengdu, which is based on the unified theory of acceptance and use of technology （UTAUT） model. The extending UTAUT model includes key constructs of performance expectation, perceived behavioral control and the characteristics of owner-managers.
文摘Turbulent market conditions,well-publicized advantages,and potential individual,social,and environmental risks make blockchain-based cryptocurrencies a popular focus of the public and scientific communities.This paper contributes to the literature on the future of crypto markets by analyzing a promising cryptocurrency innovation from a customer-centric point of view;it explores the factors influencing user acceptance of a hypothetical social network-backed cryptocurrency in Central Europe.The research model adapts an internationally comparative framework and extends the well-established unified theory of acceptance and use of the technology model with the concept of perceived risk and trust.We explore user attitudes with a survey on a large Hungarian sample and analyze the database with consistent partial least square structural equation modeling methodology.The results show that users would be primarily influenced by the expected usefulness of the new technology assuming it is easy to use.Furthermore,our analysis also highlights that while social influence does not seem to sway user opinions,consumers are susceptible to technological risks,and trust is an important determinant of their openness toward innovations in financial services.We contribute to the cryptocurrency literature with a future-centric technological focus and provide new evidence from an under-researched geographic region.The results also have practical implications for business decision-makers and policymakers.
文摘Consumer acceptance of cultured meat is expected to depend on a wide diversity of determinants ranging from technologyrelated perceptions to product-specific expectations, and including wider contextual factors like media coverage, public involvement, and trust in science, policy and society. This paper discusses the case of cultured meat against this multitude of possible determinants shaping future consumer acceptance or rejection. The paper also presents insights from a primary exploratory study performed in April 2013 with consumers from Flanders（Belgium）（n=180）. The concept of cultured meat was only known（unaided） by 13% of the study participants. After receiving basic information about what cultured meat is, participants expressed favorable expectations about the concept. Only 9% rejected the idea of trying cultured meat, while two thirds hesitated and about quarter indicated to be willing to try it. The provision of additional information about the environmental benefits of cultured meat compared to traditional meat resulted in 43% of the participants indicating to be willing to try this novel food, while another 51% indicated to be ‘maybe＇ willing to do so. Price and sensory expectations emerged as major obstacles. Consumers eating mostly vegetarian meals were less convinced that cultured meat might be healthy, suggesting that vegetarians may not be the ideal primary target group for this novel meat substitute. Although exploratory rather than conclusive, the findings generally underscore doubts among consumers about trying this product when it would become available, and therefore also the challenge for cultured meat to mimic traditional meat in terms of sensory quality at an affordable price in order to become acceptable for future consumers.
基金This research was sponsored by a grant from the National Natural Science Foundation of China(31901641 and 31972023)by a grant from the Shanghai Science and Technology Committee(18JC1410801 and 19YF1422400)+1 种基金by the Startup Fund for Youngman Research at Shanghai Jiao Tong University(18X100040057)by the 20th Innovative Practice Plan for College Students at SJTU(IPP20192).
文摘Rapid global population growth has caused an increasing need for products containing protein.Meat products are the most common high-protein food source,but impact the environment,cause animal welfare issues,and raise public health concerns.Consumer health and food safety are paramount to the food industry.Both the scientists and food industry are actively seeking plant proteins to substitute for animal-sourced proteins.Plant proteins have a well-balanced amino acid composition,and exhibit great potential for replacing meat via the development of healthy,high-protein,low-saturated fat,cholesterol-free,and nutritionally similar meat-like products.Generally,meat analogue formulations are specially designed and processing conditions are optimized to obtain the texture and bite of real animal meat.This article focuses on plant-based meat analogues,and covers aspects regarding processing,products,quality,and nutritional and structural modifications.Product safety consciousness and consumer acceptance are also discussed.Challenges and perspectives for future research concerning nonmeat products are presented.
基金Project Supported by the National Natural Science Fund of China(10571143) the Research Fund of Southwest Normal University
文摘In this article, an innovation diffusion model with the nonlinear acceptance is proposed to describe the dynamics of three competing products in a market. It is proved that the model admits a unique positive equilibrium, which is globally stable by excluding the existence of periodic solutions and by using the theory of three dimensional competition systems.
基金Project(2018YFB1004202)supported by the National Key Research and Development Program of ChinaProject(61732019)supported by the National Natural Science Foundation of ChinaProject(SKLSDE-2018ZX-06)supported by the State Key Laboratory of Software Development Environment,China
文摘As the popularity of open source projects,the volume of incoming pull requests is too large,which puts heavy burden on integrators who are responsible for accepting or rejecting pull requests.An accepted pull request prediction approach can help integrators by allowing them either to enforce an immediate rejection of code changes or allocate more resources to overcome the deficiency.In this paper,an approach CTCPPre is proposed to predict the accepted pull requests in GitHub.CTCPPre mainly considers code features of modified changes,text features of pull requests’description,contributor features of developers’previous behaviors,and project features of development environment.The effectiveness of CTCPPre on 28 projects containing 221096 pull requests is evaluated.Experimental results show that CTCPPre has good performances by achieving accuracy of 0.82,AUC of 0.76 and F1-score of 0.88 on average.It is compared with the state of art accepted pull request prediction approach RFPredict.On average across 28 projects,CTCPPre outperforms RFPredict by 6.64%,16.06%and 4.79%in terms of accuracy,AUC and F1-score,respectively.
