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
As great news, we are informed currently by Thomson Reuters Co. that the Journal of Natural Gas Chemistry (JNGC) had been included in the Science Cita- tion Index Expanded (SCI-E), Chemistry Citation Index (CCI) and J...As great news, we are informed currently by Thomson Reuters Co. that the Journal of Natural Gas Chemistry (JNGC) had been included in the Science Cita- tion Index Expanded (SCI-E), Chemistry Citation Index (CCI) and Journal Citation Reports/Science Edition (JCR) starting with Volume 16,展开更多
As great news,we are informed currently by Thomson Reuters Co.that the Journal of Natural Gas Chemistry (JNGC) had been included in the Science Cita- tion Index Expanded (SCI-E),Chemistry Citation Index (CCI) and Jour...As great news,we are informed currently by Thomson Reuters Co.that the Journal of Natural Gas Chemistry (JNGC) had been included in the Science Cita- tion Index Expanded (SCI-E),Chemistry Citation Index (CCI) and Journal Citation Reports/Science Edition (JCR) starting with Volume 16,Issue 1,2007.展开更多
Jiban,a term that means“fetter”in Chinese,is commonly used to denote the“bond between people”within a Chinese context.The meaning of“bond”of jiban is derived from the Japanese word kizuna.From a cultural standpo...Jiban,a term that means“fetter”in Chinese,is commonly used to denote the“bond between people”within a Chinese context.The meaning of“bond”of jiban is derived from the Japanese word kizuna.From a cultural standpoint,the association between the meanings of jiban and kizuna is interconnected on a cultural level.From an accepted perspective,the emergence of the new meaning of jiban encompasses various factors within the accepted context,and individuals gain a comprehensive understanding of the meaning“bond”through the cognitive processes of meaning,motivation,and aesthetics.From a societal viewpoint,the distribution of the original meaning and the new meaning of jiban differs significantly across various language environments.Furthermore,the acceptance of the new meaning of jiban is currently witnessing a growing trend among a specific group,necessitating attention and further investigation.展开更多
Objective:To compare the effectiveness,safety,acceptability,and confounding factors of the two-rod levonorgestrel implants between the Indoplant and Sinoplant implant brands.Methods:The study was a double-blind,random...Objective:To compare the effectiveness,safety,acceptability,and confounding factors of the two-rod levonorgestrel implants between the Indoplant and Sinoplant implant brands.Methods:The study was a double-blind,randomized controlled trial at three different centers in Indonesia.A total of 531 participants that met inclusion and exclusion criteria were randomized into two groups,with 264 participants in the Sinoplant group and 267 participants in the Indoplant group.At each center,participants were divided into two groups for Sinoplant and Indoplant.The participants were followed up for 36 months.Four parameters were evaluated:implant effectiveness,safety,acceptability,and confounding factors.Results:A total of 531 eligible participants were enrolled in this study.Both Sinoplant and Indoplant showed 100%efficacy in preventing pregnancy,with no significant differences in side effects.24.22%of the Sinoplant group and 22.18%of the Indoplant group reported weight changes.8.60%of the Sinoplant group and 9.73%of the Indoplant group reported menstrual changes,and 1.17%of the both groups experienced intermenstrual bleeding.Implant acceptability was 96.61%,with 3.39%dropout rates.Confounding factors such as age,parity,and contraceptive history did not significantly differ between the two groups.Conclusions:Sinoplant and Indoplant did not differ significantly in contraceptive effectiveness,safety,acceptability,and confounding factors.展开更多
Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This...Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.展开更多
The US-launched QS-9000 in 1994 em-bodying the essence of ISO - 9000 and accommo-dating the practice of auto product development and manufacture is a workable one commonly ac-cepted and identified by countries in the ...The US-launched QS-9000 in 1994 em-bodying the essence of ISO - 9000 and accommo-dating the practice of auto product development and manufacture is a workable one commonly ac-cepted and identified by countries in the world and China as well. QS-9000 particularly arous-es the interest of Chinese departments in展开更多
Correction to:J.Iron Steel Res.Int.https://doi.org/10.1007/s42243-025-01460-1 The publication of this article unfortunately contained mistakes.The revised and accepted dates were not correct.The corrected dates are gi...Correction to:J.Iron Steel Res.Int.https://doi.org/10.1007/s42243-025-01460-1 The publication of this article unfortunately contained mistakes.The revised and accepted dates were not correct.The corrected dates are given below.展开更多
1 I Like Me follows a cheerful and confident little pig who celebrates everything about herself.From her curly tail to her big feet,she loves every part of herself.In the book,I remember that the pig enthusiastically ...1 I Like Me follows a cheerful and confident little pig who celebrates everything about herself.From her curly tail to her big feet,she loves every part of herself.In the book,I remember that the pig enthusiastically declares that no matter what she does,even if she's making mistakes,being silly or being a clumsy rookie(笨拙的新手)of trying something new,she will always like herself.展开更多
The Cross-domain Heuristic Search Challenge(CHeSC)is a competition focused on creating efficient search algorithms adaptable to diverse problem domains.Selection hyper-heuristics are a class of algorithms that dynamic...The Cross-domain Heuristic Search Challenge(CHeSC)is a competition focused on creating efficient search algorithms adaptable to diverse problem domains.Selection hyper-heuristics are a class of algorithms that dynamically choose heuristics during the search process.Numerous selection hyper-heuristics have different imple-mentation strategies.However,comparisons between them are lacking in the literature,and previous works have not highlighted the beneficial and detrimental implementation methods of different components.The question is how to effectively employ them to produce an efficient search heuristic.Furthermore,the algorithms that competed in the inaugural CHeSC have not been collectively reviewed.This work conducts a review analysis of the top twenty competitors from this competition to identify effective and ineffective strategies influencing algorithmic performance.A summary of the main characteristics and classification of the algorithms is presented.The analysis underlines efficient and inefficient methods in eight key components,including search points,search phases,heuristic selection,move acceptance,feedback,Tabu mechanism,restart mechanism,and low-level heuristic parameter control.This review analyzes the components referencing the competition’s final leaderboard and discusses future research directions for these components.The effective approaches,identified as having the highest quality index,are mixed search point,iterated search phases,relay hybridization selection,threshold acceptance,mixed learning,Tabu heuristics,stochastic restart,and dynamic parameters.Findings are also compared with recent trends in hyper-heuristics.This work enhances the understanding of selection hyper-heuristics,offering valuable insights for researchers and practitioners aiming to develop effective search algorithms for diverse problem domains.展开更多
Qigong is an important part of traditional Chinese health preservation culture,and the accurate translation of its terms is of great significance for international communication.Currently,there are many deficiencies i...Qigong is an important part of traditional Chinese health preservation culture,and the accurate translation of its terms is of great significance for international communication.Currently,there are many deficiencies in the translation of Qigong terms,such as a lack of systematicity and inconsistent translations.Based on hermeneutics theory,this study analyzes the factors influencing the acceptance of Qigong term translations,and constructs an evaluation model for translation acceptance,covering three dimensions:culture,language,and readers.Accordingly,translation strategies are proposed,including culturally adaptive translation,optimization of language structure,reader stratification strategies,horizon fusion,and the hermeneutic circle,etc.The aim is to balance the cultural connotations and readers’acceptance,and to promote the international communication of Qigong culture.展开更多
The use of electronic currency for transactions,denoting a cashless paradigm,has become increasingly common.However,this financial innovation is not prevalent in all countries.This study aims to explain the discrepanc...The use of electronic currency for transactions,denoting a cashless paradigm,has become increasingly common.However,this financial innovation is not prevalent in all countries.This study aims to explain the discrepancies across countries,including individual and country factors.It may be superficially posited that this lag in development stems from individual or microlevel usage challenges.However,the application of the Technology Acceptance Model highlights the presence of overarching characteristics conducive to extensive adoption.Thus,an additional stratum,the multilevel perspective,needs to be examined.This analytical framework incorporates not only individual attributes but also the sociotechnical framework or mesolevel factors in which they operate.A multilevel econometric model is used.The results of these analyses show that the impact on the adoption of cashless payments extends beyond individual factors(attitude to technology use,perceived usefulness,and perceived ease of use).Our primary contribution,conceptually and empirically,is to broaden the analysis vision.A comprehensive multilevel analysis revealed that broader contextual elements,such as infrastructure and national skills,exert a significant influence on the adoption of cashless transactions.Consequently,the widespread acceptance of cashless payment methods is not only contingent on individual choices but is also a collective phenomenon in which the surrounding environment plays a crucial role as a catalyst for the end users in the cashless economy.展开更多
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
Based on a comprehensive inspection and acceptance evaluation of the biological firebreak forest belt construction project in Huiyang Forest Area,this study systematically analyzes common issues encountered during the...Based on a comprehensive inspection and acceptance evaluation of the biological firebreak forest belt construction project in Huiyang Forest Area,this study systematically analyzes common issues encountered during the acceptance process.The findings indicate that primary challenges include low seedling survival rates,incongruities between tree species selection and site conditions,structural deficiencies within the forest belts,insufficient post-planting maintenance and management,and irregularities in documentation.To address these problems,the study proposes targeted countermeasures,such as optimizing tree species selection,enhancing supervision of planting techniques,and establishing a long-term ecological compensation-based management model.These recommendations are framed within the contexts of scientific planning,precise implementation,strengthened oversight,and innovative management mechanisms.The research aims to improve the construction quality and long-term fire prevention efficacy of biological firebreak forest belts,thereby providing practical guidance for analogous firebreak forest belt construction and acceptance initiatives in forest areas of South China.展开更多
This study introduces the type-I heavy-tailed Burr XII(TIHTBXII)distribution,a highly flexible and robust statistical model designed to address the limitations of conventional distributions in analyzing data character...This study introduces the type-I heavy-tailed Burr XII(TIHTBXII)distribution,a highly flexible and robust statistical model designed to address the limitations of conventional distributions in analyzing data characterized by skewness,heavy tails,and diverse hazard behaviors.We meticulously develop the TIHTBXII’s mathematical foundations,including its probability density function(PDF),cumulative distribution function(CDF),and essential statistical properties,crucial for theoretical understanding and practical application.A comprehensive Monte Carlo simulation evaluates four parameter estimation methods:maximum likelihood(MLE),maximum product spacing(MPS),least squares(LS),and weighted least squares(WLS).The simulation results consistently show that as sample sizes increase,the Bias and RMSE of all estimators decrease,with WLS and LS often demonstrating superior and more stable performance.Beyond theoretical development,we present a practical application of the TIHTBXII distribution in constructing a group acceptance sampling plan(GASP)for truncated life tests.This application highlights how the TIHTBXII model can optimize quality control decisions by minimizing the average sample number(ASN)while effectively managing consumer and producer risks.Empirical validation using real-world datasets,including“Active Repair Duration,”“Groundwater Contaminant Measurements,”and“Dominica COVID-19 Mortality,”further demonstrates the TIHTBXII’s superior fit compared to existing models.Our findings confirm the TIHTBXII distribution as a powerful and reliable alternative for accurately modeling complex data in fields such as reliability engineering and quality assessment,leading to more informed and robust decision-making.展开更多
Background Schizophrenia is characterised by pervasive cognitive deficits that significantly impair daily functioning and quality of life.Pharmacological treatments have limited efficacy in addressing these deficits,h...Background Schizophrenia is characterised by pervasive cognitive deficits that significantly impair daily functioning and quality of life.Pharmacological treatments have limited efficacy in addressing these deficits,highlighting the need for adjunctive interventions like computerised cognitive training(CCT).Aims This study aimed to evaluate the effects of a 30-session CCT programme on mental well-being and cognitive performance in individuals with schizophrenia.Additionally,it assessed the usability and acceptability of CCT in this population.Methods A double-blind,randomised clinical trial was conducted with 54 participants assigned to intervention and control groups.Cognitive and mental health outcomes were assessed using validated tools such as the Depression Anxiety Stress Scale 21,the Warwick-Edinburgh Mental Wellbeing Scale and the Cambridge Neuropsychological Test Automated Battery.Usability was measured with the System Usability Scale(SUS).Assessments were conducted at baseline,post-intervention and 3 months post-follow-up.Results The CCT intervention significantly improved mental well-being,reduced stress and enhanced working memory(paired associate learning,spatial working memory and spatial span)compared with controls.However,no significant effects were observed for anxiety,depression or executive function.Usability scores were high(SUS=83.51),and compliance rates were strong(92.7%),indicating favourable participant engagement.Conclusion CCT demonstrated potential as an adjunctive treatment for schizophrenia,with significant improvements in targeted cognitive and mental health domains.The high usability and compliance rates support its feasibility for broader implementation.Further research is needed to optimise protocols and explore long-term benefits.CCT offers a promising approach to addressing mental health and cognitive challenges in schizophrenia,particularly for stress and working memory.Its usability and acceptability suggest it could be seamlessly integrated into clinical practice.展开更多
This study aims to understand the implementation of artificial intelligence(AI)-enabled technology in banking from a user perspective.For this purpose,we examine customer intention to adopt ChatGPT(Generative Pretrain...This study aims to understand the implementation of artificial intelligence(AI)-enabled technology in banking from a user perspective.For this purpose,we examine customer intention to adopt ChatGPT(Generative Pretrained Transformer)in performing banking services.To assess the study objectives,this research integrates two well-established technology models,namely,the Task-Technology Fit(TTF)Model and the Technology Acceptance Model(TAM).This study employed a quantitative research approach and utilized a survey-based questionnaire to collect primary data from banking customers.We analyzed a total of 424 valid responses via the partial least squares structural equation modeling(PLS-SEM)approach for the results and estimations.The results of this study indicate that the TTF and TAM have a positive and significant effect on customers’intention to adopt ChatGPT in banking services.Additionally,this research revealed that ChatGPT knowledge plays a significant role as a moderator in predicting user intentions toward ChatGPT adoption.Our findings provide unique insights into the contemporary concept of AI-enabled technology adoption in the banking sector.This study highlights various aspects of the theoretical and managerial implications for managers and academicians.Theoretically,this study provides an in-depth analysis by integrating the TTF with an extended TAM.Practically,the findings of this study enhance strategic planning and informed decisions in the banking sector regarding the use of ChatGPT.This study also assumes that this is the first attempt in the Pakistani banking sector to analyze customer intentions to adopt ChatGPT in their banking transactions.Finally,our study limitations provide a discussion forum for subsequent studies that adapt or imitate our methodology in other demographics or countries.This will encourage the development of AI technologies in financial companies.展开更多
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.
文摘As great news, we are informed currently by Thomson Reuters Co. that the Journal of Natural Gas Chemistry (JNGC) had been included in the Science Cita- tion Index Expanded (SCI-E), Chemistry Citation Index (CCI) and Journal Citation Reports/Science Edition (JCR) starting with Volume 16,
文摘As great news,we are informed currently by Thomson Reuters Co.that the Journal of Natural Gas Chemistry (JNGC) had been included in the Science Cita- tion Index Expanded (SCI-E),Chemistry Citation Index (CCI) and Journal Citation Reports/Science Edition (JCR) starting with Volume 16,Issue 1,2007.
基金This article is part of the research results of Guangdong Province Philosophy and Social Science Planning General Project“The Study of the Role of Function Words in the Process of Constructionalization in Chinese”(Project number GD22CZY03)General Project of the 2022 International Chinese Education Research Project of Center for Language Education and Cooperation“Research on the Teaching Mode of Chinese Second Language Vocabulary Based on the Mechanism of‘Learn Together,Use Together’”(Project number 22YH22C)This article is the phased results of 2022 Guangdong Province Higher Education Teaching Reform Project of Undergraduate Teaching Quality and Teaching Reform Project(Guangdong Education Files[2023]No.4).
文摘Jiban,a term that means“fetter”in Chinese,is commonly used to denote the“bond between people”within a Chinese context.The meaning of“bond”of jiban is derived from the Japanese word kizuna.From a cultural standpoint,the association between the meanings of jiban and kizuna is interconnected on a cultural level.From an accepted perspective,the emergence of the new meaning of jiban encompasses various factors within the accepted context,and individuals gain a comprehensive understanding of the meaning“bond”through the cognitive processes of meaning,motivation,and aesthetics.From a societal viewpoint,the distribution of the original meaning and the new meaning of jiban differs significantly across various language environments.Furthermore,the acceptance of the new meaning of jiban is currently witnessing a growing trend among a specific group,necessitating attention and further investigation.
基金supported by PT.Catur Dakwah Crane Pharmacy,an Indonesian pharmaceutical company.The funding was granted through a mutual agreement between the research team and the company,under the coordination of the National Population and Family Planning Board(BKKBN Indonesia).The funder provided financial support only and had no role in the study design,data collection,analysis,interpretation of data,or the decision to submit the manuscript for publication.
文摘Objective:To compare the effectiveness,safety,acceptability,and confounding factors of the two-rod levonorgestrel implants between the Indoplant and Sinoplant implant brands.Methods:The study was a double-blind,randomized controlled trial at three different centers in Indonesia.A total of 531 participants that met inclusion and exclusion criteria were randomized into two groups,with 264 participants in the Sinoplant group and 267 participants in the Indoplant group.At each center,participants were divided into two groups for Sinoplant and Indoplant.The participants were followed up for 36 months.Four parameters were evaluated:implant effectiveness,safety,acceptability,and confounding factors.Results:A total of 531 eligible participants were enrolled in this study.Both Sinoplant and Indoplant showed 100%efficacy in preventing pregnancy,with no significant differences in side effects.24.22%of the Sinoplant group and 22.18%of the Indoplant group reported weight changes.8.60%of the Sinoplant group and 9.73%of the Indoplant group reported menstrual changes,and 1.17%of the both groups experienced intermenstrual bleeding.Implant acceptability was 96.61%,with 3.39%dropout rates.Confounding factors such as age,parity,and contraceptive history did not significantly differ between the two groups.Conclusions:Sinoplant and Indoplant did not differ significantly in contraceptive effectiveness,safety,acceptability,and confounding factors.
文摘Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.
文摘The US-launched QS-9000 in 1994 em-bodying the essence of ISO - 9000 and accommo-dating the practice of auto product development and manufacture is a workable one commonly ac-cepted and identified by countries in the world and China as well. QS-9000 particularly arous-es the interest of Chinese departments in
文摘Correction to:J.Iron Steel Res.Int.https://doi.org/10.1007/s42243-025-01460-1 The publication of this article unfortunately contained mistakes.The revised and accepted dates were not correct.The corrected dates are given below.
文摘1 I Like Me follows a cheerful and confident little pig who celebrates everything about herself.From her curly tail to her big feet,she loves every part of herself.In the book,I remember that the pig enthusiastically declares that no matter what she does,even if she's making mistakes,being silly or being a clumsy rookie(笨拙的新手)of trying something new,she will always like herself.
基金funded by Ministry of Higher Education(MoHE)Malaysia,under Transdisciplinary Research Grant Scheme(TRGS/1/2019/UKM/01/4/2).
文摘The Cross-domain Heuristic Search Challenge(CHeSC)is a competition focused on creating efficient search algorithms adaptable to diverse problem domains.Selection hyper-heuristics are a class of algorithms that dynamically choose heuristics during the search process.Numerous selection hyper-heuristics have different imple-mentation strategies.However,comparisons between them are lacking in the literature,and previous works have not highlighted the beneficial and detrimental implementation methods of different components.The question is how to effectively employ them to produce an efficient search heuristic.Furthermore,the algorithms that competed in the inaugural CHeSC have not been collectively reviewed.This work conducts a review analysis of the top twenty competitors from this competition to identify effective and ineffective strategies influencing algorithmic performance.A summary of the main characteristics and classification of the algorithms is presented.The analysis underlines efficient and inefficient methods in eight key components,including search points,search phases,heuristic selection,move acceptance,feedback,Tabu mechanism,restart mechanism,and low-level heuristic parameter control.This review analyzes the components referencing the competition’s final leaderboard and discusses future research directions for these components.The effective approaches,identified as having the highest quality index,are mixed search point,iterated search phases,relay hybridization selection,threshold acceptance,mixed learning,Tabu heuristics,stochastic restart,and dynamic parameters.Findings are also compared with recent trends in hyper-heuristics.This work enhances the understanding of selection hyper-heuristics,offering valuable insights for researchers and practitioners aiming to develop effective search algorithms for diverse problem domains.
基金Hunan Province Social Science Achievements Evaluation Committee Project(XSP2023WXC039)Scientific Research Fund of Hunan Provincial Education Department(22B1037)。
文摘Qigong is an important part of traditional Chinese health preservation culture,and the accurate translation of its terms is of great significance for international communication.Currently,there are many deficiencies in the translation of Qigong terms,such as a lack of systematicity and inconsistent translations.Based on hermeneutics theory,this study analyzes the factors influencing the acceptance of Qigong term translations,and constructs an evaluation model for translation acceptance,covering three dimensions:culture,language,and readers.Accordingly,translation strategies are proposed,including culturally adaptive translation,optimization of language structure,reader stratification strategies,horizon fusion,and the hermeneutic circle,etc.The aim is to balance the cultural connotations and readers’acceptance,and to promote the international communication of Qigong culture.
基金Euskal Herriko Unibertsitatea(UPV/EHU)ECRI Ethics in Finance&Social Value GIU22/003Fundacion Emilio Soldevilla para la Investigacion y el Desarrollo en Economia de la Empresa(FESIDE)BOPV2020.
文摘The use of electronic currency for transactions,denoting a cashless paradigm,has become increasingly common.However,this financial innovation is not prevalent in all countries.This study aims to explain the discrepancies across countries,including individual and country factors.It may be superficially posited that this lag in development stems from individual or microlevel usage challenges.However,the application of the Technology Acceptance Model highlights the presence of overarching characteristics conducive to extensive adoption.Thus,an additional stratum,the multilevel perspective,needs to be examined.This analytical framework incorporates not only individual attributes but also the sociotechnical framework or mesolevel factors in which they operate.A multilevel econometric model is used.The results of these analyses show that the impact on the adoption of cashless payments extends beyond individual factors(attitude to technology use,perceived usefulness,and perceived ease of use).Our primary contribution,conceptually and empirically,is to broaden the analysis vision.A comprehensive multilevel analysis revealed that broader contextual elements,such as infrastructure and national skills,exert a significant influence on the adoption of cashless transactions.Consequently,the widespread acceptance of cashless payment methods is not only contingent on individual choices but is also a collective phenomenon in which the surrounding environment plays a crucial role as a catalyst for the end users in the cashless economy.
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.
文摘Based on a comprehensive inspection and acceptance evaluation of the biological firebreak forest belt construction project in Huiyang Forest Area,this study systematically analyzes common issues encountered during the acceptance process.The findings indicate that primary challenges include low seedling survival rates,incongruities between tree species selection and site conditions,structural deficiencies within the forest belts,insufficient post-planting maintenance and management,and irregularities in documentation.To address these problems,the study proposes targeted countermeasures,such as optimizing tree species selection,enhancing supervision of planting techniques,and establishing a long-term ecological compensation-based management model.These recommendations are framed within the contexts of scientific planning,precise implementation,strengthened oversight,and innovative management mechanisms.The research aims to improve the construction quality and long-term fire prevention efficacy of biological firebreak forest belts,thereby providing practical guidance for analogous firebreak forest belt construction and acceptance initiatives in forest areas of South China.
基金supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University(IMSIU)(Grant Number IMSIU-DDRSP2501).
文摘This study introduces the type-I heavy-tailed Burr XII(TIHTBXII)distribution,a highly flexible and robust statistical model designed to address the limitations of conventional distributions in analyzing data characterized by skewness,heavy tails,and diverse hazard behaviors.We meticulously develop the TIHTBXII’s mathematical foundations,including its probability density function(PDF),cumulative distribution function(CDF),and essential statistical properties,crucial for theoretical understanding and practical application.A comprehensive Monte Carlo simulation evaluates four parameter estimation methods:maximum likelihood(MLE),maximum product spacing(MPS),least squares(LS),and weighted least squares(WLS).The simulation results consistently show that as sample sizes increase,the Bias and RMSE of all estimators decrease,with WLS and LS often demonstrating superior and more stable performance.Beyond theoretical development,we present a practical application of the TIHTBXII distribution in constructing a group acceptance sampling plan(GASP)for truncated life tests.This application highlights how the TIHTBXII model can optimize quality control decisions by minimizing the average sample number(ASN)while effectively managing consumer and producer risks.Empirical validation using real-world datasets,including“Active Repair Duration,”“Groundwater Contaminant Measurements,”and“Dominica COVID-19 Mortality,”further demonstrates the TIHTBXII’s superior fit compared to existing models.Our findings confirm the TIHTBXII distribution as a powerful and reliable alternative for accurately modeling complex data in fields such as reliability engineering and quality assessment,leading to more informed and robust decision-making.
基金supported by a grant from University of Social Welfare and Rehabilitation Sciences for the research expenses.
文摘Background Schizophrenia is characterised by pervasive cognitive deficits that significantly impair daily functioning and quality of life.Pharmacological treatments have limited efficacy in addressing these deficits,highlighting the need for adjunctive interventions like computerised cognitive training(CCT).Aims This study aimed to evaluate the effects of a 30-session CCT programme on mental well-being and cognitive performance in individuals with schizophrenia.Additionally,it assessed the usability and acceptability of CCT in this population.Methods A double-blind,randomised clinical trial was conducted with 54 participants assigned to intervention and control groups.Cognitive and mental health outcomes were assessed using validated tools such as the Depression Anxiety Stress Scale 21,the Warwick-Edinburgh Mental Wellbeing Scale and the Cambridge Neuropsychological Test Automated Battery.Usability was measured with the System Usability Scale(SUS).Assessments were conducted at baseline,post-intervention and 3 months post-follow-up.Results The CCT intervention significantly improved mental well-being,reduced stress and enhanced working memory(paired associate learning,spatial working memory and spatial span)compared with controls.However,no significant effects were observed for anxiety,depression or executive function.Usability scores were high(SUS=83.51),and compliance rates were strong(92.7%),indicating favourable participant engagement.Conclusion CCT demonstrated potential as an adjunctive treatment for schizophrenia,with significant improvements in targeted cognitive and mental health domains.The high usability and compliance rates support its feasibility for broader implementation.Further research is needed to optimise protocols and explore long-term benefits.CCT offers a promising approach to addressing mental health and cognitive challenges in schizophrenia,particularly for stress and working memory.Its usability and acceptability suggest it could be seamlessly integrated into clinical practice.
文摘This study aims to understand the implementation of artificial intelligence(AI)-enabled technology in banking from a user perspective.For this purpose,we examine customer intention to adopt ChatGPT(Generative Pretrained Transformer)in performing banking services.To assess the study objectives,this research integrates two well-established technology models,namely,the Task-Technology Fit(TTF)Model and the Technology Acceptance Model(TAM).This study employed a quantitative research approach and utilized a survey-based questionnaire to collect primary data from banking customers.We analyzed a total of 424 valid responses via the partial least squares structural equation modeling(PLS-SEM)approach for the results and estimations.The results of this study indicate that the TTF and TAM have a positive and significant effect on customers’intention to adopt ChatGPT in banking services.Additionally,this research revealed that ChatGPT knowledge plays a significant role as a moderator in predicting user intentions toward ChatGPT adoption.Our findings provide unique insights into the contemporary concept of AI-enabled technology adoption in the banking sector.This study highlights various aspects of the theoretical and managerial implications for managers and academicians.Theoretically,this study provides an in-depth analysis by integrating the TTF with an extended TAM.Practically,the findings of this study enhance strategic planning and informed decisions in the banking sector regarding the use of ChatGPT.This study also assumes that this is the first attempt in the Pakistani banking sector to analyze customer intentions to adopt ChatGPT in their banking transactions.Finally,our study limitations provide a discussion forum for subsequent studies that adapt or imitate our methodology in other demographics or countries.This will encourage the development of AI technologies in financial companies.
