The Internet of Everything(IoE)coupled with Proactive Artificial Intelligence(AI)-Based Learning Agents(PLAs)through a cloud processing system is an idea that connects all computing resources to the Internet,making it...The Internet of Everything(IoE)coupled with Proactive Artificial Intelligence(AI)-Based Learning Agents(PLAs)through a cloud processing system is an idea that connects all computing resources to the Internet,making it possible for these devices to communicate with one another.Technologies featured in the IoE include embedding,networking,and sensing devices.To achieve the intended results of the IoE and ease life for everyone involved,sensing devices and monitoring systems are linked together.The IoE is used in several contexts,including intelligent cars’protection,navigation,security,and fuel efficiency.The Smart Things Monitoring System(STMS)framework,which has been proposed for early occurrence identification and theft prevention,is discussed in this article.The STMS uses technologies based on the IoE and PLAs to continuously and remotely observe,control,and monitor vehicles.The STMS is familiar with the platform used by the global positioning system;as a result,the STMS can maintain a real-time record of current vehicle positions.This information is utilized to locate the vehicle in an accident or theft.The findings of the STMS system are promising for precisely identifying crashes,evaluating incident severity,and locating vehicles after collisions have occurred.Moreover,we formulate an ad hoc STMS network communication scenario to evaluate the efficacy of data communication by utilizing various network parameters,such as round-trip time(RTT),data packet transmission,data packet reception,and loss.From our experimentation,we obtained an improved communication efficiency for STMS across multiple PLAs compared to the standard greedy routing and traditional AODV approaches.Our framework facilitates adaptable solutions with communication competence by deploying Proactive PLAs in a cloud-connected smart vehicular environment.展开更多
Post-match interview is a medium for athletes to showcase their impressions.This paper focus on the discourse of a post-match interview by Chinese athletes in the sport of table tennis at the 2024 Paris Olympics using...Post-match interview is a medium for athletes to showcase their impressions.This paper focus on the discourse of a post-match interview by Chinese athletes in the sport of table tennis at the 2024 Paris Olympics using the face-saving theory as the main framework introduced by Brown and Levinson(1987).In addition,theoretical extensions(Gu,1990;Mao,1994;Gao,1996)are also used to explain conceptions of face in the Chinese context.This study adopts a qualitative case study approach to investigating how athletes construct and maintain their face.It specifically analyzes the positive face,negative face,and redressive strategies.The findings indicate that Chinese athletes commonly adopt strategies such as emphasizing collective honor,humor,and indirect expressions to address face issues.These strategies are related to the collectivist values that are embedded in Chinese culture.This study extends the application of face theory to the under-explored domain of sports discourse and offers insights for future studies in sports communication and intercultural pragmatics.展开更多
The coronavirus disease(COVID-19)pandemic has affected the lives of social media users in an unprecedentedmanner.They are constantly posting their satisfaction or dissatisfaction over the COVID-19 situation at their l...The coronavirus disease(COVID-19)pandemic has affected the lives of social media users in an unprecedentedmanner.They are constantly posting their satisfaction or dissatisfaction over the COVID-19 situation at their location of interest.Therefore,understanding location-oriented sentiments about this situation is of prime importance for political leaders,and strategic decision-makers.To this end,we present a new fully automated algorithm based on artificial intelligence(AI),for extraction of location-oriented public sentiments on the COVID-19 situation.We designed the proposed system to obtain exhaustive knowledge and insights on social media feeds related to COVID-19 in 110 languages through AI-based translation,sentiment analysis,location entity detection,and decomposition tree analysis.We deployed fully automated algorithm on live Twitter feed from July 15,2021 and it is still running as of 12 January,2022.The system was evaluated on a limited dataset between July 15,2021 to August 10,2021.During this evaluation timeframe 150,000 tweets were analyzed and our algorithm found that 9,900 tweets contained one or more location entities.In total,13,220 location entities were detected during the evaluation period,and the rates of average precision and recall rate were 0.901 and 0.967,respectively.As of 12 January,2022,the proposed solution has detected 43,169 locations using entity recognition.According to the best of our knowledge,this study is the first to report location intelligence with entity detection,sentiment analysis,and decomposition tree analysis on social media messages related to COVID-19 and has covered the largest set of languages.展开更多
This editorial highlights a recently published study examining the effectiveness of music therapy combined with motivational interviewing(MI)in addressing an-xiety and depression among young and middle-aged patients f...This editorial highlights a recently published study examining the effectiveness of music therapy combined with motivational interviewing(MI)in addressing an-xiety and depression among young and middle-aged patients following percuta-neous coronary intervention.It further explores existing evidence and potential future research directions for MI in postoperative rehabilitation and chronic disease management.MI aims to facilitate behavioral change and promote healthier lifestyles by fostering a trusting relationship with patients and enhan-cing intrinsic motivation.Research has demonstrated its effectiveness in posto-perative recovery for oncological surgery,stroke,organ transplants,and gastroin-testinal procedures,as well as in managing chronic conditions such as diabetes,obesity,and periodontal disease.The approach is patient-centered,adaptable,cost-effective,and easily replicable,though its limitations include reliance on the therapist’s expertise,variability in individual responses,and insufficient long-term follow-up studies.Future research could focus on developing individualized and precise intervention models,exploring applications in digital health management,and confirming long-term outcomes to provide more compre-hensive support for patient rehabilitation.展开更多
Background and Purpose: In recent years, individual spirituality has been attracting attention, but little research has been conducted as it relates to family spirituality that applies this concept to the family and r...Background and Purpose: In recent years, individual spirituality has been attracting attention, but little research has been conducted as it relates to family spirituality that applies this concept to the family and relates to the meaning of the family’s existence in terms of the entire family. The purpose of this study was to clarify the attributes of family spirituality and the influencing factors of its decline. Methods: Regarding family spirituality, 1) a literature search was conducted using PubMed and reviews of 20 English-language articles;and 2) semi-structured interviews were conducted with 12 Japanese families having elderly members in the household. Data triangulation was performed for both, and a directed content analysis was conducted using Hohashi’s Concentric Sphere Family Environment Theory as the framework. Results: Attributes of family spirituality included 21 categories, such as “I think that my family exists for my children and grandchildren.” Factors influencing the decline in family spirituality included 20 categories in total, including 6 categories of risk/causal/promoting factors such as “lack of caring for family members”;11 categories of preventive/inhibitory/suppression factors such as “healthcare professionals not being close to the family”;and three categories of context-sensitive factors such as “death of a family member.” Conclusions/Implications for Practice: Family intervention requires nurses to understand the attributes of family spirituality and to control the influencing factors of a decline in family spirituality. Through such efforts, families will be able to discover the meaning of the existence of the family and maintain and improve their well-being.展开更多
[Objectives]To explore the effects of motivational interviewing intervention based on the transtheoretical model(TTM)on psychological resilience and self-management in patients undergoing finger reimplantation after a...[Objectives]To explore the effects of motivational interviewing intervention based on the transtheoretical model(TTM)on psychological resilience and self-management in patients undergoing finger reimplantation after amputation.[Methods]The patients with finger replantation due to fractures admitted from October 2024 to June 2025 were divided into either the control group or the observation group according to the random number table method,with 40 cases in each group.The control group received conventional perioperative care,while the observation group underwent motivational interviewing based on TTM framework on the basis of the control group.The psychological resilience and self-management levels of the two patient groups were then compared following their respective care interventions.[Results]The psychological resilience and self-management scores of the patients were significantly higher than those of the control group after the intervention,with the difference being statistically significant(P<0.05).[Conclusions]Motivational interviewing based on the TTM can effectively improve the psychological resilience and self-management in patients undergoing severed finger reimplantation,while effectively reducing the occurrence of vascular crisis.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
目的:通过随机对照研究,评估叙事访谈对抑郁障碍患者自杀意念的影响。方法:共纳入符合《国际疾病分类》第10版抑郁障碍诊断标准患者140例,随机分为研究组和对照组各70例。研究组以团体小组形式进行叙事访谈,每周2次,时间1 h,共8次,历时...目的:通过随机对照研究,评估叙事访谈对抑郁障碍患者自杀意念的影响。方法:共纳入符合《国际疾病分类》第10版抑郁障碍诊断标准患者140例,随机分为研究组和对照组各70例。研究组以团体小组形式进行叙事访谈,每周2次,时间1 h,共8次,历时4周。访视点分别为基线、4周末、8周末。采用自杀意念自评量表(self-rating idea of suicide scale,SIOSS)评估患者自杀意念情况。用混合设计重复测量方差分析进行比较。结果:测评时间主效应显著,两组SIOSS总分随治疗时间显著下降(P<0.001)。测评时间与治疗分组存在显著交互效应。简单效应分析显示,在4周末时,研究组与对照组的SIOSS估算得分的组间差异具有显著性,研究组得分显著低于对照组(P=0.002)。结论:叙事访谈能有效降低患者的自杀意念,提高患者治疗效果,降低患者自杀风险。展开更多
基金funded by the Ministry of Science and Technology,Taiwan,grant number(MOST 111-2221-E167-025-MY2).
文摘The Internet of Everything(IoE)coupled with Proactive Artificial Intelligence(AI)-Based Learning Agents(PLAs)through a cloud processing system is an idea that connects all computing resources to the Internet,making it possible for these devices to communicate with one another.Technologies featured in the IoE include embedding,networking,and sensing devices.To achieve the intended results of the IoE and ease life for everyone involved,sensing devices and monitoring systems are linked together.The IoE is used in several contexts,including intelligent cars’protection,navigation,security,and fuel efficiency.The Smart Things Monitoring System(STMS)framework,which has been proposed for early occurrence identification and theft prevention,is discussed in this article.The STMS uses technologies based on the IoE and PLAs to continuously and remotely observe,control,and monitor vehicles.The STMS is familiar with the platform used by the global positioning system;as a result,the STMS can maintain a real-time record of current vehicle positions.This information is utilized to locate the vehicle in an accident or theft.The findings of the STMS system are promising for precisely identifying crashes,evaluating incident severity,and locating vehicles after collisions have occurred.Moreover,we formulate an ad hoc STMS network communication scenario to evaluate the efficacy of data communication by utilizing various network parameters,such as round-trip time(RTT),data packet transmission,data packet reception,and loss.From our experimentation,we obtained an improved communication efficiency for STMS across multiple PLAs compared to the standard greedy routing and traditional AODV approaches.Our framework facilitates adaptable solutions with communication competence by deploying Proactive PLAs in a cloud-connected smart vehicular environment.
文摘Post-match interview is a medium for athletes to showcase their impressions.This paper focus on the discourse of a post-match interview by Chinese athletes in the sport of table tennis at the 2024 Paris Olympics using the face-saving theory as the main framework introduced by Brown and Levinson(1987).In addition,theoretical extensions(Gu,1990;Mao,1994;Gao,1996)are also used to explain conceptions of face in the Chinese context.This study adopts a qualitative case study approach to investigating how athletes construct and maintain their face.It specifically analyzes the positive face,negative face,and redressive strategies.The findings indicate that Chinese athletes commonly adopt strategies such as emphasizing collective honor,humor,and indirect expressions to address face issues.These strategies are related to the collectivist values that are embedded in Chinese culture.This study extends the application of face theory to the under-explored domain of sports discourse and offers insights for future studies in sports communication and intercultural pragmatics.
文摘The coronavirus disease(COVID-19)pandemic has affected the lives of social media users in an unprecedentedmanner.They are constantly posting their satisfaction or dissatisfaction over the COVID-19 situation at their location of interest.Therefore,understanding location-oriented sentiments about this situation is of prime importance for political leaders,and strategic decision-makers.To this end,we present a new fully automated algorithm based on artificial intelligence(AI),for extraction of location-oriented public sentiments on the COVID-19 situation.We designed the proposed system to obtain exhaustive knowledge and insights on social media feeds related to COVID-19 in 110 languages through AI-based translation,sentiment analysis,location entity detection,and decomposition tree analysis.We deployed fully automated algorithm on live Twitter feed from July 15,2021 and it is still running as of 12 January,2022.The system was evaluated on a limited dataset between July 15,2021 to August 10,2021.During this evaluation timeframe 150,000 tweets were analyzed and our algorithm found that 9,900 tweets contained one or more location entities.In total,13,220 location entities were detected during the evaluation period,and the rates of average precision and recall rate were 0.901 and 0.967,respectively.As of 12 January,2022,the proposed solution has detected 43,169 locations using entity recognition.According to the best of our knowledge,this study is the first to report location intelligence with entity detection,sentiment analysis,and decomposition tree analysis on social media messages related to COVID-19 and has covered the largest set of languages.
文摘This editorial highlights a recently published study examining the effectiveness of music therapy combined with motivational interviewing(MI)in addressing an-xiety and depression among young and middle-aged patients following percuta-neous coronary intervention.It further explores existing evidence and potential future research directions for MI in postoperative rehabilitation and chronic disease management.MI aims to facilitate behavioral change and promote healthier lifestyles by fostering a trusting relationship with patients and enhan-cing intrinsic motivation.Research has demonstrated its effectiveness in posto-perative recovery for oncological surgery,stroke,organ transplants,and gastroin-testinal procedures,as well as in managing chronic conditions such as diabetes,obesity,and periodontal disease.The approach is patient-centered,adaptable,cost-effective,and easily replicable,though its limitations include reliance on the therapist’s expertise,variability in individual responses,and insufficient long-term follow-up studies.Future research could focus on developing individualized and precise intervention models,exploring applications in digital health management,and confirming long-term outcomes to provide more compre-hensive support for patient rehabilitation.
文摘Background and Purpose: In recent years, individual spirituality has been attracting attention, but little research has been conducted as it relates to family spirituality that applies this concept to the family and relates to the meaning of the family’s existence in terms of the entire family. The purpose of this study was to clarify the attributes of family spirituality and the influencing factors of its decline. Methods: Regarding family spirituality, 1) a literature search was conducted using PubMed and reviews of 20 English-language articles;and 2) semi-structured interviews were conducted with 12 Japanese families having elderly members in the household. Data triangulation was performed for both, and a directed content analysis was conducted using Hohashi’s Concentric Sphere Family Environment Theory as the framework. Results: Attributes of family spirituality included 21 categories, such as “I think that my family exists for my children and grandchildren.” Factors influencing the decline in family spirituality included 20 categories in total, including 6 categories of risk/causal/promoting factors such as “lack of caring for family members”;11 categories of preventive/inhibitory/suppression factors such as “healthcare professionals not being close to the family”;and three categories of context-sensitive factors such as “death of a family member.” Conclusions/Implications for Practice: Family intervention requires nurses to understand the attributes of family spirituality and to control the influencing factors of a decline in family spirituality. Through such efforts, families will be able to discover the meaning of the existence of the family and maintain and improve their well-being.
基金Supported by 2023 Shiyan Taihe Hospital Fund Project(2023JJXM024).
文摘[Objectives]To explore the effects of motivational interviewing intervention based on the transtheoretical model(TTM)on psychological resilience and self-management in patients undergoing finger reimplantation after amputation.[Methods]The patients with finger replantation due to fractures admitted from October 2024 to June 2025 were divided into either the control group or the observation group according to the random number table method,with 40 cases in each group.The control group received conventional perioperative care,while the observation group underwent motivational interviewing based on TTM framework on the basis of the control group.The psychological resilience and self-management levels of the two patient groups were then compared following their respective care interventions.[Results]The psychological resilience and self-management scores of the patients were significantly higher than those of the control group after the intervention,with the difference being statistically significant(P<0.05).[Conclusions]Motivational interviewing based on the TTM can effectively improve the psychological resilience and self-management in patients undergoing severed finger reimplantation,while effectively reducing the occurrence of vascular crisis.
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.
文摘目的:通过随机对照研究,评估叙事访谈对抑郁障碍患者自杀意念的影响。方法:共纳入符合《国际疾病分类》第10版抑郁障碍诊断标准患者140例,随机分为研究组和对照组各70例。研究组以团体小组形式进行叙事访谈,每周2次,时间1 h,共8次,历时4周。访视点分别为基线、4周末、8周末。采用自杀意念自评量表(self-rating idea of suicide scale,SIOSS)评估患者自杀意念情况。用混合设计重复测量方差分析进行比较。结果:测评时间主效应显著,两组SIOSS总分随治疗时间显著下降(P<0.001)。测评时间与治疗分组存在显著交互效应。简单效应分析显示,在4周末时,研究组与对照组的SIOSS估算得分的组间差异具有显著性,研究组得分显著低于对照组(P=0.002)。结论:叙事访谈能有效降低患者的自杀意念,提高患者治疗效果,降低患者自杀风险。
