To address the issue of incorrect fusion results caused by conflicting evidence due to inaccurate evidence and incomplete recognition frameworks in radar airborne target tactical intention recognition,a spatiotemporal...To address the issue of incorrect fusion results caused by conflicting evidence due to inaccurate evidence and incomplete recognition frameworks in radar airborne target tactical intention recognition,a spatiotemporal evidence fusion algorithm is proposed.To resolve the conflict evidence fusion problem caused by inaccurate evidence,the algorithm performs discounting of evidence from both spatial and temporal dimensions.Spatial discounting is influenced by both inter-evidence inconsistency and intra-evidence inconsistency,while temporal discounting is determined by time intervals and information entropy.For the problem of conflicting evidence fusion due to an incomplete recognition framework,an open recognition architecture based on dynamic composite focal elements is proposed.This approach allocates some conflicting information to temporary composite focal elements,avoiding excessive basic probability assignment(BPA)of the empty set after fusion,which can lead to deviations from the actual fusion results.Simulation experiments comparing various methods indicate that the proposed method can effectively improve target intention recognition accuracy and demonstrates good stability.展开更多
In this study,we analyzed the processes involved in the resolution and enforcement of multi-domain network intent policies for intent-based networking(IBN).Previous studies on IBN analyzed the basis of the network int...In this study,we analyzed the processes involved in the resolution and enforcement of multi-domain network intent policies for intent-based networking(IBN).Previous studies on IBN analyzed the basis of the network intent resolution processes.These processes produce the artifacts required by network intent policy enforcement.Thus,we continued such studies with the inclusion of network intent policy enforcement in the analysis,for which we constructed a model that predicts the accuracy of a multi-domain network intent policy enforcement system.We validated the model by designing a new multi-domain network intent policy enforcement system,and evaluated the accuracy and performance of the new system through experimentation over a large-scale multi-domain platform that involves sites separated by more than ten thousand kilometers.The results show that,on the one hand,the new system improves accuracy by 10%and,on the other hand,that policies obtained from the multi-domain network intents,including the most complex ones,can be enforced in less than 1.75 s in a platform comprising sites located in almost opposite sides of the world.The experiment confirmed that the long distance existing between the sites involved in our experimental multi-domain IBN platform had little impact on the performance of the new system,and that the predictions obtained with the new model are as much as 99%accurate with respect to the behavior observed in the experiment.展开更多
Air target intent recognition holds significant importance in aiding commanders to assess battlefield situations and secure a competitive edge in decision-making.Progress in this domain has been hindered by challenges...Air target intent recognition holds significant importance in aiding commanders to assess battlefield situations and secure a competitive edge in decision-making.Progress in this domain has been hindered by challenges posed by imbalanced battlefield data and the limited robustness of traditional recognition models.Inspired by the success of diffusion models in addressing visual domain sample imbalances,this paper introduces a new approach that utilizes the Markov Transfer Field(MTF)method for time series data visualization.This visualization,when combined with the Denoising Diffusion Probabilistic Model(DDPM),effectively enhances sample data and mitigates noise within the original dataset.Additionally,a transformer-based model tailored for time series visualization and air target intent recognition is developed.Comprehensive experimental results,encompassing comparative,ablation,and denoising validations,reveal that the proposed method achieves a notable 98.86%accuracy in air target intent recognition while demonstrating exceptional robustness and generalization capabilities.This approach represents a promising avenue for advancing air target intent recognition.展开更多
The evacuation of people under threat is an effective disaster prevention and mitigation measure in response to flash floods and geological hazards,and it is also an essential element of pre-disaster planning.However,...The evacuation of people under threat is an effective disaster prevention and mitigation measure in response to flash floods and geological hazards,and it is also an essential element of pre-disaster planning.However,the effect of the interactions between perception factors on residents'willingness to evacuate is an urgent problem to be solved.Therefore,this paper introduces risk,stakeholder,and protective action perceptions from the protective action decision model as the main explanatory variables.These three core perceptions are subdivided into affective risk perception,cognitive risk perception,government perception,other-stakeholder perception,resourcerelated attributes,and hazard-related attributes.A questionnaire survey was conducted from June to July 2023 among residents of mountainous communities in nine villages in three towns in Sichuan Province,China.359 cross-sectional data were analyzed using structural equation modeling to explore the effects of six perception factors on evacuation intentions.The results of the study showed that:(1)affective risk perception,government perception,other-stakeholder perception,and hazard-related attributes all directly and positively influence residents'intentions to evacuate;(2)cognitive risk perception is mediated by stakeholder and protective action perceptions,which indirectly and positively affect residents'intentions to evacuate.Based on the hypothesized paths,strategies to improve residents'willingness to evacuate are discussed from the perspective of three core perceptions:strengthening disaster risk education,improving residents'cohesion,and building government credibility.The results of this study can provide theoretical support and practical suggestions for emergency management departments to formulate emergency evacuation strategies,which can aid decision-makers in better understanding residents'intentions to evacuate,optimizing evacuation information dissemination pathways,and strengthening disaster risk management capabilities.展开更多
Evaluation of Gamma Index Analysis for Detecting Errors in Patient-specific Quality Assurance in Intensity Modulated Radiotherapy Taylan Tugrul1(1.Department of Radiation Oncology,Medicine Faculty of Van Yüzü...Evaluation of Gamma Index Analysis for Detecting Errors in Patient-specific Quality Assurance in Intensity Modulated Radiotherapy Taylan Tugrul1(1.Department of Radiation Oncology,Medicine Faculty of Van YüzüncüYıl University,Van,Turkey)Abstract:Quality assurance practices performed before treatment are believed to identify various potential errors.In this study,2-dimensional(2D)dosimetric results were analyzed by making some intentional mistakes in six different treatment plans.In this way,the detectability of errors was investigated.In all segments of all treatment plans,one of the multileaf collimators was kept fixed at different positions on the central axis.In addition to multileaf collimators error,gantry error was also examined in the study.The dose distribution results obtained by Treatment Planning System(TPS)were compared with those obtained by the 2D array device,both as local calculation and global calculation methods,using the gamma analysis method.When the results are examined in the case where the Multi-leaf collimators(MLC)is fixed at the 1 cm position.展开更多
Intentional tooth replantation(ITR)is an advanced treatment modality and the procedure of last resort for preserving teeth with inaccessible endodontic or resorptive lesions.ITR is defined as the deliberate extraction...Intentional tooth replantation(ITR)is an advanced treatment modality and the procedure of last resort for preserving teeth with inaccessible endodontic or resorptive lesions.ITR is defined as the deliberate extraction of a tooth;evaluation of the root surface,endodontic manipulation,and repair;and placement of the tooth back into its original socket.Case reports,case series,cohort studies,and randomized controlled trials have demonstrated the efficacy of ITR in the retention of natural teeth that are untreatable or difficult to manage with root canal treatment or endodontic microsurgery.However,variations in clinical protocols for ITR exist due to the empirical nature of the original protocols and rapid advancements in the field of oral biology and dental materials.This heterogeneity in protocols may cause confusion among dental practitioners;therefore,guidelines and considerations for ITR should be explicated.This expert consensus discusses the biological foundation of ITR,the available clinical protocols and current status of ITR in treating teeth with refractory apical periodontitis or anatomical aberration,and the main complications of this treatment,aiming to refine the clinical management of ITR in accordance with the progress of basic research and clinical studies;the findings suggest that ITR may become a more consistent evidence-based option in dental treatment.展开更多
Objectives This study aimed to determine the current prevalence of nurse retention in Sub-Saharan Africa(SSA),evaluate the strategies and interventions in SSA countries used to retain their nurses,and identify the key...Objectives This study aimed to determine the current prevalence of nurse retention in Sub-Saharan Africa(SSA),evaluate the strategies and interventions in SSA countries used to retain their nurses,and identify the key challenges impeding nurse retention.Methods A systematic review and meta-analysis were conducted.An electronic search was performed in August 2024 across multiple databases,including PubMed,Ovid Medline,Embase,CINAHL,Scopus,and grey literature sources.The studies were screened using Covidence,and quality assessments were conducted using the Mixed Methods Appraisal Tool.Results A total of 31 articles were included in the review.Meta-analysis revealed that the pooled nurses’retention rate in SSA was 53%(95%CI:38%–67%;I2=97%),while the pooled intention to stay(ITS)rate at work was 57%(95%CI:43%–71%;I2=99%).Subgroup analysis by region showed that the ITS rate was highest in East Africa(65%),followed by West Africa(63%),and lowest in Southern Africa(35%).Effective retention strategies included financial and non-financial incentives,increased production and training of nurses,steering students to shortage specialties,adequate rural housing,facility level improvements,availability of career and professional progression opportunities,nurses’recognition and involvement,employment terms,transparency and predictable management of human resources,supportive work environments,leadership,religious factors,and stakeholders’collaborations.Key challenges to nurses’retention include inadequate healthcare funding,governance issues,poor remuneration and working conditions,political interference,high unemployment rates,ineffective mobility management,unregulated international migration,and active recruitment by wealthier nations.Conclusions Nurse retention in SSA remains critically low.Interventions should be formulated for the above-mentioned effective improvement strategies to address these systemic challenges in order to retain nurses in SSA.展开更多
Sustainable development has become a critical global priority,and green transportation solutions,such as electric taxis,play a vital role in achieving this goal.This study examines the factors influencing students’in...Sustainable development has become a critical global priority,and green transportation solutions,such as electric taxis,play a vital role in achieving this goal.This study examines the factors influencing students’intentions to adopt electric taxi services in Hanoi,Vietnam,as a step toward sustainable urban mobility.We surveyed 573 students and ana-lyzed key determinants using reliability tests,exploratory factor analysis(EFA),and linear regression.The results indi-cate that four factors significantly influence adoption intentions:Perceived Usefulness and Sustainability,Price,Brand Awareness,and Service Quality.Among these,Perceived Usefulness and Sustainability had the strongest positive im-pact,while Service Quality exerted the weakest influence.Notably,Habit and Ease of Use&Transaction Convenience were found to be statistically insignificant in the final model.These findings provide practical implications for business-es and policymakers aiming to use electric taxi adoption.To enhance appeal,stakeholders should emphasize environ-mental benefits,competitive pricing,and brand recognition while improving service reliability.By addressing these fac-tors,electric taxi services can accelerate the transition to sustainable transportation,aligning with global climate goals and transforming urban mobility.This study offers actionable insights for encouraging greener travel behaviors among students,a key demographic for long-term sustainability impact.展开更多
Recently,wearable gait-assist robots have been evolving towards using soft materials designed for the elderly rather than individuals with disabilities,which emphasize modularization,simplification,and weight reductio...Recently,wearable gait-assist robots have been evolving towards using soft materials designed for the elderly rather than individuals with disabilities,which emphasize modularization,simplification,and weight reduction.Thus,synchronizing the robotic assistive force with that of the user’s leg movements is crucial for usability,which requires accurate recognition of the user’s gait intent.In this study,we propose a deep learning model capable of identifying not only gait mode and gait phase but also phase progression.Utilizing data from five inertial measurement units placed on the body,the proposed two-stage architecture incorporates a bidirectional long short-term memory-based model for robust classification of locomotion modes and phases.Subsequently,phase progression is estimated through 1D convolutional neural network-based regressors,each dedicated to a specific phase.The model was evaluated on a diverse dataset encompassing level walking,stair ascent and descent,and sit-to-stand activities from 10 healthy participants.The results demonstrate its ability to accurately classify locomotion phases and estimate phase progression.Accurate phase progression estimation is essential due to the age-related variability in gait phase durations,particularly evident in older adults,the primary demographic for gait-assist robots.These findings underscore the potential to enhance the assistance,comfort,and safety provided by gait-assist robots.展开更多
Background of the study:The Bangladeshi cosmetics market has witnessed significant growth in recent years,driven by changing consumer lifestyles,increased disposable incomes,and rising awareness of personal grooming.T...Background of the study:The Bangladeshi cosmetics market has witnessed significant growth in recent years,driven by changing consumer lifestyles,increased disposable incomes,and rising awareness of personal grooming.The study investigates the impact of content cues which influence on purchasing intention towards cosmetic brands in Bangladesh.Purpose:The basic purpose of this study was to evaluate the factors influencing consumers’purchasing intentions for cosmetic brands in Bangladesh.Specifically,the study explored the roles of various cosmetic-related attributes and their impact on purchasing intentions within the context of Bangladesh’s cosmetic industry.Research methods:A quantitative research approach was adopted,and data were collected through a structured survey targeting Bangladeshi consumers who frequently engage with cosmetic products.All the valid responses were analyzed using SmartPLS 4.0 to perform structural equation modeling.Research findings:The findings revealed that trust in cosmetic brands and competitive pricing significantly influence consumers’purchasing intentions,highlighting the importance of fostering trust and affordability.However,certain constructs,such as ethnocentric tendencies and concerns about ingredient safety,showed limited impact on consumers’decisions.Conclusion:This study contributes to the existing literature by offering empirical insights into the Bangladeshi context,particularly within the rapidly growing cosmetics market.The findings provide actionable recommendations for cosmetic brands aiming to strengthen their market position through trust-building initiatives,competitive pricing strategies,and educational campaigns to enhance consumer awareness.These insights are particularly relevant for marketing practitioners seeking to understand and respond to the unique dynamics of the Bangladeshi cosmetics industry.展开更多
Objectives:To assess job satisfaction among anesthesia graduates working in various medical institutions across China.Methods:A cross-sectional survey was conducted,collecting demographic information,Minnesota Satisfa...Objectives:To assess job satisfaction among anesthesia graduates working in various medical institutions across China.Methods:A cross-sectional survey was conducted,collecting demographic information,Minnesota Satisfaction Questionnaire scores,work pressure,and turnover intentions.Multiple linear regression analysis was used to examine factors influencing job satisfaction.The electronic survey was distributed to Chinese anesthesia graduates from December 2021 to January 2022.Results:A total of 595 questionnaires were distributed,with 318 valid responses,resulting in a response rate of 53.4%.The participants’overall job satisfaction score on the Minnesota Satisfaction Questionnaire was 75.85±12.57.Multiple linear regression analysis identified the following variables as significantly associated with job satisfaction:age,daily working hours,income,current position,and work pressure.Conclusions:Anesthesia graduates in China reported slightly higher-than-average overall job satisfaction.However,several issues remain.Attention should be given to the impact of factors such as youth,long working hours,low income,current position,and high work pressure on job satisfaction.The government should support anesthesiologists with improved training,job security,and benefits to enhance job satisfaction.展开更多
Purpose:Service convenience explores how consumers perceive the time and effort associated with purchasing or using a service.It examines the impact of convenience on customer satisfaction,loyalty,and behavioral inten...Purpose:Service convenience explores how consumers perceive the time and effort associated with purchasing or using a service.It examines the impact of convenience on customer satisfaction,loyalty,and behavioral intentions,often considering various dimensions like access,search,and transaction convenience.The reviews also investigate how service convenience interacts with other factors like service quality,perceived value,and customer satisfaction.Therefore,this paper seeks to analyze the dispersed academic literature on service convenience research.This paper reviews the existing literature on service convenience and examines the directions in which the past studies have focused.It highlights the gap in existing literature to identify future research directions in service convenience domain.Through this review,this study aims to gain insights into various aspects including research methodology,framework,trends,important factors related to service convenience.Design/methodology/approach:Data were collected from an objective overview of service convenience research.This study used a systematic literature review approach.A total of 13 papers were published between 2012 and 2024.Selected from the Scopus database,and Emerald Insight,following specific criteria outlined in the PRISMA process.Findings:In the context of customer satisfaction research,analysis often reveals that satisfaction can be organized into several main themes.Here are five variables that frequently appear in on customer satisfaction,customer loyalty,behavioral intentions,often considering various dimensions like access,search,and transaction convenience.The analysis shows a significant spike in conveniencebased accounting research from 2012 to 2024,indicating growing interest in the topic.展开更多
Facial recognition payment(FRP),a new method of contactless payment,has attracted considerable attention over the past few years.However,the research on this topic remains nascent.This study assessed the drivers of cu...Facial recognition payment(FRP),a new method of contactless payment,has attracted considerable attention over the past few years.However,the research on this topic remains nascent.This study assessed the drivers of customers’FRP continuance intention from the perspectives of coolness and inspiration.We use online survey data from 610 Chinese FRP customers as the basis for our conceptual model.The results show that the coolness factors of subculture,attractiveness,utility,and originality have positive and significant effects on customers’inspired-by states and that subculture and utility also promote inspired-to.Inspired-by is positively associated with inspiredto,which in turn enhances customers’FRP continuance intention.Furthermore,the relationship between inspired-to and FRP continuance intention is negatively moderated by financial risk.In addition to contributing to the literature on FRP,coolness,and customer inspiration,this study offers several suggestions for implementing and developing FRP systems.展开更多
Objective:This study aims to identify the prevalence of bullying in the workplace and to examine its association with turnover(TO)intention and secondary traumatic stress(STS)among Jordanian nurses employed in Emergen...Objective:This study aims to identify the prevalence of bullying in the workplace and to examine its association with turnover(TO)intention and secondary traumatic stress(STS)among Jordanian nurses employed in Emergency Departments(EDs)and critical care units(CCUs).Nurses employed in the EDs and CCUs are exposed to high levels of bullying behaviors that may contribute to STS,leading to high rates of TO.Methods:A descriptive cross-sectional design was used.A sample of 150 Jordanian nurses working in CCUs and EDs completed the study.Data collection was performed using the Demographical Questionnaire,the Negative Acts Questionnaire-Revised(NAQ-R),ProQOL scale,and TO scale.The IBM SPSS software was used to analyze data.Results:About 10.7%and 89.3%were categorized as“occasionally bullied”and“victims of workplace bullying”subsequently.Workplace bullying was positively associated with TO intention(r=0.46,P<0.001)and STS(r=0.36,P<0.001).TO was positively associated with STS(r=0.36,P<0.001).Bullying was a unique significant predictor of TO intention(t=4.59,B=0.34,P<0.001)and STS(t=4.15,B=0.34,P<0.001).Conclusions:Bullying behavior has negative adversarial effects on TO and the experience of STS.The prevalence of bullying behavior in the EDs and CCUs remains high despite the increasing awareness of its negative impacts.Healthcare organizations should put systems in place to ensure that zero-tolerance policy are monitored in terms of the effectiveness of its implementation.展开更多
Objectives:The study aimed to examine the severity of moral distress and intention to leave among ICU nurses in the United Arab Emirates(UAE),and explore the influencing factors of intention to leave.Methods:The study...Objectives:The study aimed to examine the severity of moral distress and intention to leave among ICU nurses in the United Arab Emirates(UAE),and explore the influencing factors of intention to leave.Methods:The study utilized a cross-sectional research design.A convenience non-probability sample of 341 nurses from various private and government hospitals across different emirates in the UAE participated in June 2022.Data were collected using a self-administered questionnaire comprising demographic information,the Moral Distress Scale–Revised.Multivariable logistic regression was used to identify factors associated with intention to leave.Results:The study found that a large majority(71.9%)of ICU nurses experienced severe moral distress,and more than 35%had intention to leave.Futile end-of-life interventions emerged as the most distress-provoking aspect of practice[16.0(0,16.0)].Multivariable analysis revealed nurses experiencing severe moral distress had 3.73 times the odds of intending to leave their job compared with those experiencing mild distress(95%CI:1.81,7.69;P<0.001)and being aged 31–40 years(OR=2.02;95%CI:1.23,3.33;P=0.005)was independently associated with a higher intention to leave.Conclusions:Severe moral distress was prevalent among ICU nurses in the UAE and strongly associated with intention to leave,and also those aged 31–40 years.Promoting ethical support,shared decision-making,and nurse empowerment is vital to improving retention and care quality.展开更多
In recent years,the availability of space orbital resources has been declining,and the increasing frequency of spacecraft close approach events has heightened the urgency for enhanced space security measures.This pape...In recent years,the availability of space orbital resources has been declining,and the increasing frequency of spacecraft close approach events has heightened the urgency for enhanced space security measures.This paper establishes a comprehensive framework for intelligent orbital game technology in space,encompassing four core technologies:threat perception of noncooperative targets,intent recognition,situation assessment,and intelligent orbital game countermeasures.The concepts of multi-turn,multi-round and multi-match in space orbital games are defined,clarifying the core technological requirements for intelligent space orbital games and establishing a cohesive technological framework.Subsequently,the current status of research on these four core technologies is investigated.The challenges faced in the existing research are analyzed,and potential solutions for future studies are proposed.This paper aims to provide readers with a thorough understanding of the latest advancements in space intelligent orbital game technology.along with insights into the future directions and challenges in this field.展开更多
This study utilized a sequential mediating model to examine the role of motivation to learn and transfer selfefficacy in the relationships between perceived content validity,mentoring function,continuous learning work...This study utilized a sequential mediating model to examine the role of motivation to learn and transfer selfefficacy in the relationships between perceived content validity,mentoring function,continuous learning work culture and intention to transfer learning.The sample comprized 429 final-year apprentices in Guangdong province,China(females=69.9%,Engineering&Medicine=69%,mean age=20.99,SD=1.60).The apprentices completed standardized measures of motivation to learn,transfer self-efficacy perceived content validity,mentoring function,and continuous learning work culture.Structural equation modeling was used to analyze the data.Results showed perceived content validity,mentoring function,continuous learning culture to predict intention to transfer learning.Of these factors,perceived content validity was the strongest predictor of intention to transfer learning.Of these factors,perceived content validity was the most influential predictor of intention to transfer learning.The motivation to learn and transfer self-efficacy sequentially mediated the relationship between mentoring function and intention to learning transfer to be stronger than by either alone.Although perceived content validity and continuous learning culture exhibited no significant direct effects on intention to transfer learning,they demonstrated positive indirect associations with intention to transfer via motivation to learn and transfer self-efficacy.These study findings extend the applications of the learning transfer framework to individuals undergoing apprenticeship training which also would apply to other a long-term work-based learning programs.展开更多
This study investigated the role of intentional self-regulation and the moderating role of peer relationship in the relationship between teacher-student relationship and learning engagement.The study sample comprised ...This study investigated the role of intentional self-regulation and the moderating role of peer relationship in the relationship between teacher-student relationship and learning engagement.The study sample comprised 540 Chinese senior secondary school students between the ages of 15–18(51.67%boys;Mage=16.56 years;SDage=0.90).They completed surveys on the Teacher-Student Relationship Scale,the Selection,Optimization,and Compensation(SOC)Scale,the Peer Relationship Scale for Children and Adolescents,and the Learning Engagement Scale.The results following regression analysis showed that teacher-student relationship predicted higher learning engagement among senior secondary school students.Intentional self-regulation partially mediated the link between teacher-student relationship and learning engagement for higher learning engagement.Peer relationship moderated the relationships between teacher-student relationship and learning engagement and moderated the relationship between teacher-student relationship and intentional self-regulation for higher learning engagement.Thesefindings imply learning engagement can be enhanced by optimizing teacher-student relationship and strengthening intentional self-regulation interventions.展开更多
To address the issue of neglecting scenarios involving joint operations and collaborative drone swarm operations in air combat target intent recognition.This paper proposes a transfer learning-based intention predicti...To address the issue of neglecting scenarios involving joint operations and collaborative drone swarm operations in air combat target intent recognition.This paper proposes a transfer learning-based intention prediction model for drone formation targets in air combat.This model recognizes the intentions of multiple aerial targets by extracting spatial features among the targets at each moment.Simulation results demonstrate that,compared to classical intention recognition models,the proposed model in this paper achieves higher accuracy in identifying the intentions of drone swarm targets in air combat scenarios.展开更多
基金supported by the Key Research and Development Program of Shaanxi Province(2023-GHZD-33)the Open Project of the State Key Laboratory of Intelligent Game(ZBKF-23-05)the National Nature Science Foundation of China(62003267)。
文摘To address the issue of incorrect fusion results caused by conflicting evidence due to inaccurate evidence and incomplete recognition frameworks in radar airborne target tactical intention recognition,a spatiotemporal evidence fusion algorithm is proposed.To resolve the conflict evidence fusion problem caused by inaccurate evidence,the algorithm performs discounting of evidence from both spatial and temporal dimensions.Spatial discounting is influenced by both inter-evidence inconsistency and intra-evidence inconsistency,while temporal discounting is determined by time intervals and information entropy.For the problem of conflicting evidence fusion due to an incomplete recognition framework,an open recognition architecture based on dynamic composite focal elements is proposed.This approach allocates some conflicting information to temporary composite focal elements,avoiding excessive basic probability assignment(BPA)of the empty set after fusion,which can lead to deviations from the actual fusion results.Simulation experiments comparing various methods indicate that the proposed method can effectively improve target intention recognition accuracy and demonstrates good stability.
基金supported by the Spanish Ministry of Science and Innovation under the project ONOFRE-4,Grant PID2023-148104OB-C43,funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU.by Horizon project RIGOUROUS funded by the European Commission,GA:101095933by the Spanish Ministry of Science and Innovation under the DIN2019-010827 Industrial PhD Grant,co-funded by Odin Solutions S.L.
文摘In this study,we analyzed the processes involved in the resolution and enforcement of multi-domain network intent policies for intent-based networking(IBN).Previous studies on IBN analyzed the basis of the network intent resolution processes.These processes produce the artifacts required by network intent policy enforcement.Thus,we continued such studies with the inclusion of network intent policy enforcement in the analysis,for which we constructed a model that predicts the accuracy of a multi-domain network intent policy enforcement system.We validated the model by designing a new multi-domain network intent policy enforcement system,and evaluated the accuracy and performance of the new system through experimentation over a large-scale multi-domain platform that involves sites separated by more than ten thousand kilometers.The results show that,on the one hand,the new system improves accuracy by 10%and,on the other hand,that policies obtained from the multi-domain network intents,including the most complex ones,can be enforced in less than 1.75 s in a platform comprising sites located in almost opposite sides of the world.The experiment confirmed that the long distance existing between the sites involved in our experimental multi-domain IBN platform had little impact on the performance of the new system,and that the predictions obtained with the new model are as much as 99%accurate with respect to the behavior observed in the experiment.
基金co-supported by the National Natural Science Foundation of China(Nos.61806219,61876189 and 61703426)the Young Talent Fund of University Association for Science and Technology in Shaanxi,China(Nos.20190108 and 20220106)the Innvation Talent Supporting Project of Shaanxi,China(No.2020KJXX-065)。
文摘Air target intent recognition holds significant importance in aiding commanders to assess battlefield situations and secure a competitive edge in decision-making.Progress in this domain has been hindered by challenges posed by imbalanced battlefield data and the limited robustness of traditional recognition models.Inspired by the success of diffusion models in addressing visual domain sample imbalances,this paper introduces a new approach that utilizes the Markov Transfer Field(MTF)method for time series data visualization.This visualization,when combined with the Denoising Diffusion Probabilistic Model(DDPM),effectively enhances sample data and mitigates noise within the original dataset.Additionally,a transformer-based model tailored for time series visualization and air target intent recognition is developed.Comprehensive experimental results,encompassing comparative,ablation,and denoising validations,reveal that the proposed method achieves a notable 98.86%accuracy in air target intent recognition while demonstrating exceptional robustness and generalization capabilities.This approach represents a promising avenue for advancing air target intent recognition.
基金supported by the National Natural Science Foundation of China(U20A20111)the National key R&D Program(2022YFC3080100)。
文摘The evacuation of people under threat is an effective disaster prevention and mitigation measure in response to flash floods and geological hazards,and it is also an essential element of pre-disaster planning.However,the effect of the interactions between perception factors on residents'willingness to evacuate is an urgent problem to be solved.Therefore,this paper introduces risk,stakeholder,and protective action perceptions from the protective action decision model as the main explanatory variables.These three core perceptions are subdivided into affective risk perception,cognitive risk perception,government perception,other-stakeholder perception,resourcerelated attributes,and hazard-related attributes.A questionnaire survey was conducted from June to July 2023 among residents of mountainous communities in nine villages in three towns in Sichuan Province,China.359 cross-sectional data were analyzed using structural equation modeling to explore the effects of six perception factors on evacuation intentions.The results of the study showed that:(1)affective risk perception,government perception,other-stakeholder perception,and hazard-related attributes all directly and positively influence residents'intentions to evacuate;(2)cognitive risk perception is mediated by stakeholder and protective action perceptions,which indirectly and positively affect residents'intentions to evacuate.Based on the hypothesized paths,strategies to improve residents'willingness to evacuate are discussed from the perspective of three core perceptions:strengthening disaster risk education,improving residents'cohesion,and building government credibility.The results of this study can provide theoretical support and practical suggestions for emergency management departments to formulate emergency evacuation strategies,which can aid decision-makers in better understanding residents'intentions to evacuate,optimizing evacuation information dissemination pathways,and strengthening disaster risk management capabilities.
文摘Evaluation of Gamma Index Analysis for Detecting Errors in Patient-specific Quality Assurance in Intensity Modulated Radiotherapy Taylan Tugrul1(1.Department of Radiation Oncology,Medicine Faculty of Van YüzüncüYıl University,Van,Turkey)Abstract:Quality assurance practices performed before treatment are believed to identify various potential errors.In this study,2-dimensional(2D)dosimetric results were analyzed by making some intentional mistakes in six different treatment plans.In this way,the detectability of errors was investigated.In all segments of all treatment plans,one of the multileaf collimators was kept fixed at different positions on the central axis.In addition to multileaf collimators error,gantry error was also examined in the study.The dose distribution results obtained by Treatment Planning System(TPS)were compared with those obtained by the 2D array device,both as local calculation and global calculation methods,using the gamma analysis method.When the results are examined in the case where the Multi-leaf collimators(MLC)is fixed at the 1 cm position.
文摘Intentional tooth replantation(ITR)is an advanced treatment modality and the procedure of last resort for preserving teeth with inaccessible endodontic or resorptive lesions.ITR is defined as the deliberate extraction of a tooth;evaluation of the root surface,endodontic manipulation,and repair;and placement of the tooth back into its original socket.Case reports,case series,cohort studies,and randomized controlled trials have demonstrated the efficacy of ITR in the retention of natural teeth that are untreatable or difficult to manage with root canal treatment or endodontic microsurgery.However,variations in clinical protocols for ITR exist due to the empirical nature of the original protocols and rapid advancements in the field of oral biology and dental materials.This heterogeneity in protocols may cause confusion among dental practitioners;therefore,guidelines and considerations for ITR should be explicated.This expert consensus discusses the biological foundation of ITR,the available clinical protocols and current status of ITR in treating teeth with refractory apical periodontitis or anatomical aberration,and the main complications of this treatment,aiming to refine the clinical management of ITR in accordance with the progress of basic research and clinical studies;the findings suggest that ITR may become a more consistent evidence-based option in dental treatment.
文摘Objectives This study aimed to determine the current prevalence of nurse retention in Sub-Saharan Africa(SSA),evaluate the strategies and interventions in SSA countries used to retain their nurses,and identify the key challenges impeding nurse retention.Methods A systematic review and meta-analysis were conducted.An electronic search was performed in August 2024 across multiple databases,including PubMed,Ovid Medline,Embase,CINAHL,Scopus,and grey literature sources.The studies were screened using Covidence,and quality assessments were conducted using the Mixed Methods Appraisal Tool.Results A total of 31 articles were included in the review.Meta-analysis revealed that the pooled nurses’retention rate in SSA was 53%(95%CI:38%–67%;I2=97%),while the pooled intention to stay(ITS)rate at work was 57%(95%CI:43%–71%;I2=99%).Subgroup analysis by region showed that the ITS rate was highest in East Africa(65%),followed by West Africa(63%),and lowest in Southern Africa(35%).Effective retention strategies included financial and non-financial incentives,increased production and training of nurses,steering students to shortage specialties,adequate rural housing,facility level improvements,availability of career and professional progression opportunities,nurses’recognition and involvement,employment terms,transparency and predictable management of human resources,supportive work environments,leadership,religious factors,and stakeholders’collaborations.Key challenges to nurses’retention include inadequate healthcare funding,governance issues,poor remuneration and working conditions,political interference,high unemployment rates,ineffective mobility management,unregulated international migration,and active recruitment by wealthier nations.Conclusions Nurse retention in SSA remains critically low.Interventions should be formulated for the above-mentioned effective improvement strategies to address these systemic challenges in order to retain nurses in SSA.
文摘Sustainable development has become a critical global priority,and green transportation solutions,such as electric taxis,play a vital role in achieving this goal.This study examines the factors influencing students’intentions to adopt electric taxi services in Hanoi,Vietnam,as a step toward sustainable urban mobility.We surveyed 573 students and ana-lyzed key determinants using reliability tests,exploratory factor analysis(EFA),and linear regression.The results indi-cate that four factors significantly influence adoption intentions:Perceived Usefulness and Sustainability,Price,Brand Awareness,and Service Quality.Among these,Perceived Usefulness and Sustainability had the strongest positive im-pact,while Service Quality exerted the weakest influence.Notably,Habit and Ease of Use&Transaction Convenience were found to be statistically insignificant in the final model.These findings provide practical implications for business-es and policymakers aiming to use electric taxi adoption.To enhance appeal,stakeholders should emphasize environ-mental benefits,competitive pricing,and brand recognition while improving service reliability.By addressing these fac-tors,electric taxi services can accelerate the transition to sustainable transportation,aligning with global climate goals and transforming urban mobility.This study offers actionable insights for encouraging greener travel behaviors among students,a key demographic for long-term sustainability impact.
基金supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute(KHIDI)funded by the Ministry of Health&Welfare,Republic of Korea(Grant Number:RS-2022-KH129263).
文摘Recently,wearable gait-assist robots have been evolving towards using soft materials designed for the elderly rather than individuals with disabilities,which emphasize modularization,simplification,and weight reduction.Thus,synchronizing the robotic assistive force with that of the user’s leg movements is crucial for usability,which requires accurate recognition of the user’s gait intent.In this study,we propose a deep learning model capable of identifying not only gait mode and gait phase but also phase progression.Utilizing data from five inertial measurement units placed on the body,the proposed two-stage architecture incorporates a bidirectional long short-term memory-based model for robust classification of locomotion modes and phases.Subsequently,phase progression is estimated through 1D convolutional neural network-based regressors,each dedicated to a specific phase.The model was evaluated on a diverse dataset encompassing level walking,stair ascent and descent,and sit-to-stand activities from 10 healthy participants.The results demonstrate its ability to accurately classify locomotion phases and estimate phase progression.Accurate phase progression estimation is essential due to the age-related variability in gait phase durations,particularly evident in older adults,the primary demographic for gait-assist robots.These findings underscore the potential to enhance the assistance,comfort,and safety provided by gait-assist robots.
基金Correspondence concerning this article should be addressed to Meher Neger,Comilla University,Comilla,Bangladesh.
文摘Background of the study:The Bangladeshi cosmetics market has witnessed significant growth in recent years,driven by changing consumer lifestyles,increased disposable incomes,and rising awareness of personal grooming.The study investigates the impact of content cues which influence on purchasing intention towards cosmetic brands in Bangladesh.Purpose:The basic purpose of this study was to evaluate the factors influencing consumers’purchasing intentions for cosmetic brands in Bangladesh.Specifically,the study explored the roles of various cosmetic-related attributes and their impact on purchasing intentions within the context of Bangladesh’s cosmetic industry.Research methods:A quantitative research approach was adopted,and data were collected through a structured survey targeting Bangladeshi consumers who frequently engage with cosmetic products.All the valid responses were analyzed using SmartPLS 4.0 to perform structural equation modeling.Research findings:The findings revealed that trust in cosmetic brands and competitive pricing significantly influence consumers’purchasing intentions,highlighting the importance of fostering trust and affordability.However,certain constructs,such as ethnocentric tendencies and concerns about ingredient safety,showed limited impact on consumers’decisions.Conclusion:This study contributes to the existing literature by offering empirical insights into the Bangladeshi context,particularly within the rapidly growing cosmetics market.The findings provide actionable recommendations for cosmetic brands aiming to strengthen their market position through trust-building initiatives,competitive pricing strategies,and educational campaigns to enhance consumer awareness.These insights are particularly relevant for marketing practitioners seeking to understand and respond to the unique dynamics of the Bangladeshi cosmetics industry.
基金supported by the Basic Medical Research Foundation of Naval Medical University(2022SK029 and 2023QN035).
文摘Objectives:To assess job satisfaction among anesthesia graduates working in various medical institutions across China.Methods:A cross-sectional survey was conducted,collecting demographic information,Minnesota Satisfaction Questionnaire scores,work pressure,and turnover intentions.Multiple linear regression analysis was used to examine factors influencing job satisfaction.The electronic survey was distributed to Chinese anesthesia graduates from December 2021 to January 2022.Results:A total of 595 questionnaires were distributed,with 318 valid responses,resulting in a response rate of 53.4%.The participants’overall job satisfaction score on the Minnesota Satisfaction Questionnaire was 75.85±12.57.Multiple linear regression analysis identified the following variables as significantly associated with job satisfaction:age,daily working hours,income,current position,and work pressure.Conclusions:Anesthesia graduates in China reported slightly higher-than-average overall job satisfaction.However,several issues remain.Attention should be given to the impact of factors such as youth,long working hours,low income,current position,and high work pressure on job satisfaction.The government should support anesthesiologists with improved training,job security,and benefits to enhance job satisfaction.
文摘Purpose:Service convenience explores how consumers perceive the time and effort associated with purchasing or using a service.It examines the impact of convenience on customer satisfaction,loyalty,and behavioral intentions,often considering various dimensions like access,search,and transaction convenience.The reviews also investigate how service convenience interacts with other factors like service quality,perceived value,and customer satisfaction.Therefore,this paper seeks to analyze the dispersed academic literature on service convenience research.This paper reviews the existing literature on service convenience and examines the directions in which the past studies have focused.It highlights the gap in existing literature to identify future research directions in service convenience domain.Through this review,this study aims to gain insights into various aspects including research methodology,framework,trends,important factors related to service convenience.Design/methodology/approach:Data were collected from an objective overview of service convenience research.This study used a systematic literature review approach.A total of 13 papers were published between 2012 and 2024.Selected from the Scopus database,and Emerald Insight,following specific criteria outlined in the PRISMA process.Findings:In the context of customer satisfaction research,analysis often reveals that satisfaction can be organized into several main themes.Here are five variables that frequently appear in on customer satisfaction,customer loyalty,behavioral intentions,often considering various dimensions like access,search,and transaction convenience.The analysis shows a significant spike in conveniencebased accounting research from 2012 to 2024,indicating growing interest in the topic.
基金This study was supported by the National Natural Science Foundation of China(72202185,72302145)the Postdoctoral Science Foundation of China(2023M742232)the Innovation Research 2035 Pilot Plan of Southwest University(SWUPilotPlan026).
文摘Facial recognition payment(FRP),a new method of contactless payment,has attracted considerable attention over the past few years.However,the research on this topic remains nascent.This study assessed the drivers of customers’FRP continuance intention from the perspectives of coolness and inspiration.We use online survey data from 610 Chinese FRP customers as the basis for our conceptual model.The results show that the coolness factors of subculture,attractiveness,utility,and originality have positive and significant effects on customers’inspired-by states and that subculture and utility also promote inspired-to.Inspired-by is positively associated with inspiredto,which in turn enhances customers’FRP continuance intention.Furthermore,the relationship between inspired-to and FRP continuance intention is negatively moderated by financial risk.In addition to contributing to the literature on FRP,coolness,and customer inspiration,this study offers several suggestions for implementing and developing FRP systems.
文摘Objective:This study aims to identify the prevalence of bullying in the workplace and to examine its association with turnover(TO)intention and secondary traumatic stress(STS)among Jordanian nurses employed in Emergency Departments(EDs)and critical care units(CCUs).Nurses employed in the EDs and CCUs are exposed to high levels of bullying behaviors that may contribute to STS,leading to high rates of TO.Methods:A descriptive cross-sectional design was used.A sample of 150 Jordanian nurses working in CCUs and EDs completed the study.Data collection was performed using the Demographical Questionnaire,the Negative Acts Questionnaire-Revised(NAQ-R),ProQOL scale,and TO scale.The IBM SPSS software was used to analyze data.Results:About 10.7%and 89.3%were categorized as“occasionally bullied”and“victims of workplace bullying”subsequently.Workplace bullying was positively associated with TO intention(r=0.46,P<0.001)and STS(r=0.36,P<0.001).TO was positively associated with STS(r=0.36,P<0.001).Bullying was a unique significant predictor of TO intention(t=4.59,B=0.34,P<0.001)and STS(t=4.15,B=0.34,P<0.001).Conclusions:Bullying behavior has negative adversarial effects on TO and the experience of STS.The prevalence of bullying behavior in the EDs and CCUs remains high despite the increasing awareness of its negative impacts.Healthcare organizations should put systems in place to ensure that zero-tolerance policy are monitored in terms of the effectiveness of its implementation.
文摘Objectives:The study aimed to examine the severity of moral distress and intention to leave among ICU nurses in the United Arab Emirates(UAE),and explore the influencing factors of intention to leave.Methods:The study utilized a cross-sectional research design.A convenience non-probability sample of 341 nurses from various private and government hospitals across different emirates in the UAE participated in June 2022.Data were collected using a self-administered questionnaire comprising demographic information,the Moral Distress Scale–Revised.Multivariable logistic regression was used to identify factors associated with intention to leave.Results:The study found that a large majority(71.9%)of ICU nurses experienced severe moral distress,and more than 35%had intention to leave.Futile end-of-life interventions emerged as the most distress-provoking aspect of practice[16.0(0,16.0)].Multivariable analysis revealed nurses experiencing severe moral distress had 3.73 times the odds of intending to leave their job compared with those experiencing mild distress(95%CI:1.81,7.69;P<0.001)and being aged 31–40 years(OR=2.02;95%CI:1.23,3.33;P=0.005)was independently associated with a higher intention to leave.Conclusions:Severe moral distress was prevalent among ICU nurses in the UAE and strongly associated with intention to leave,and also those aged 31–40 years.Promoting ethical support,shared decision-making,and nurse empowerment is vital to improving retention and care quality.
基金co-supported by the National Natural Science Foundation of China(Nos.124B2031,12202281)the Shanghai Natural Science Foundation,China(No.23ZR1461800)the Northwestern Polytechnical University Scientific Research Initiation Foundation,China(No.G2024KY05103).
文摘In recent years,the availability of space orbital resources has been declining,and the increasing frequency of spacecraft close approach events has heightened the urgency for enhanced space security measures.This paper establishes a comprehensive framework for intelligent orbital game technology in space,encompassing four core technologies:threat perception of noncooperative targets,intent recognition,situation assessment,and intelligent orbital game countermeasures.The concepts of multi-turn,multi-round and multi-match in space orbital games are defined,clarifying the core technological requirements for intelligent space orbital games and establishing a cohesive technological framework.Subsequently,the current status of research on these four core technologies is investigated.The challenges faced in the existing research are analyzed,and potential solutions for future studies are proposed.This paper aims to provide readers with a thorough understanding of the latest advancements in space intelligent orbital game technology.along with insights into the future directions and challenges in this field.
基金funded by Hanshan Normal University School-Level Research Initiation Program(grant numbers QD202244QD2024207)+3 种基金the Guangdong Higher Education Society’s“Fourteenth Five-Year”Plan 2024 Higher Education Research(grant number 24GYB43)the 2024 Guangdong Provincial Undergraduate Teaching Quality and Teaching Reform Engineering Project:Excellence Program for Cultivating Publicly-Funded Pre-service Teachers for Primary Education in the Context of Rural Revitalizationthe Hanshan Normal University Guangdong East Regional Education Collaborative Innovation Research Centerfunded by these sources.
文摘This study utilized a sequential mediating model to examine the role of motivation to learn and transfer selfefficacy in the relationships between perceived content validity,mentoring function,continuous learning work culture and intention to transfer learning.The sample comprized 429 final-year apprentices in Guangdong province,China(females=69.9%,Engineering&Medicine=69%,mean age=20.99,SD=1.60).The apprentices completed standardized measures of motivation to learn,transfer self-efficacy perceived content validity,mentoring function,and continuous learning work culture.Structural equation modeling was used to analyze the data.Results showed perceived content validity,mentoring function,continuous learning culture to predict intention to transfer learning.Of these factors,perceived content validity was the strongest predictor of intention to transfer learning.Of these factors,perceived content validity was the most influential predictor of intention to transfer learning.The motivation to learn and transfer self-efficacy sequentially mediated the relationship between mentoring function and intention to learning transfer to be stronger than by either alone.Although perceived content validity and continuous learning culture exhibited no significant direct effects on intention to transfer learning,they demonstrated positive indirect associations with intention to transfer via motivation to learn and transfer self-efficacy.These study findings extend the applications of the learning transfer framework to individuals undergoing apprenticeship training which also would apply to other a long-term work-based learning programs.
文摘This study investigated the role of intentional self-regulation and the moderating role of peer relationship in the relationship between teacher-student relationship and learning engagement.The study sample comprised 540 Chinese senior secondary school students between the ages of 15–18(51.67%boys;Mage=16.56 years;SDage=0.90).They completed surveys on the Teacher-Student Relationship Scale,the Selection,Optimization,and Compensation(SOC)Scale,the Peer Relationship Scale for Children and Adolescents,and the Learning Engagement Scale.The results following regression analysis showed that teacher-student relationship predicted higher learning engagement among senior secondary school students.Intentional self-regulation partially mediated the link between teacher-student relationship and learning engagement for higher learning engagement.Peer relationship moderated the relationships between teacher-student relationship and learning engagement and moderated the relationship between teacher-student relationship and intentional self-regulation for higher learning engagement.Thesefindings imply learning engagement can be enhanced by optimizing teacher-student relationship and strengthening intentional self-regulation interventions.
文摘To address the issue of neglecting scenarios involving joint operations and collaborative drone swarm operations in air combat target intent recognition.This paper proposes a transfer learning-based intention prediction model for drone formation targets in air combat.This model recognizes the intentions of multiple aerial targets by extracting spatial features among the targets at each moment.Simulation results demonstrate that,compared to classical intention recognition models,the proposed model in this paper achieves higher accuracy in identifying the intentions of drone swarm targets in air combat scenarios.
