Knowledge-based VisualQuestion Answering(VQA)requires the integration of visual information with external knowledge reasoning.Existing approaches typically retrieve information from external corpora and rely on pretra...Knowledge-based VisualQuestion Answering(VQA)requires the integration of visual information with external knowledge reasoning.Existing approaches typically retrieve information from external corpora and rely on pretrained language models for reasoning.However,their performance is often hindered by the limited capabilities of retrievers and the constrained size of knowledge bases.Moreover,relying on image captions to bridge the modal gap between visual and language modalities can lead to the omission of critical visual details.To address these limitations,we propose the Reflective Chain-of-Thought(ReCoT)method,a simple yet effective framework inspired by metacognition theory.ReCoT effectively activates the reasoning capabilities ofMultimodal Large LanguageModels(MLLMs),providing essential visual and knowledge cues required to solve complex visual questions.It simulates a metacognitive reasoning process that encompasses monitoring,reflection,and correction.Specifically,in the initial generation stage,an MLLM produces a preliminary answer that serves as the model’s initial cognitive output.During the reflective reasoning stage,this answer is critically examined to generate a reflective rationale that integrates key visual evidence and relevant knowledge.In the final refinement stage,a smaller language model leverages this rationale to revise the initial prediction,resulting in amore accurate final answer.By harnessing the strengths ofMLLMs in visual and knowledge grounding,ReCoT enables smaller language models to reason effectively without dependence on image captions or external knowledge bases.Experimental results demonstrate that ReCoT achieves substantial performance improvements,outperforming state-of-the-art methods by 2.26%on OK-VQA and 5.8%on A-OKVQA.展开更多
During the COVID-19 pandemic,most businesses adopted hybrid work arrangements,adapting to changing workplace demands.This study explores how Technologies 4.0(advanced technologies)and employee motivation affect the li...During the COVID-19 pandemic,most businesses adopted hybrid work arrangements,adapting to changing workplace demands.This study explores how Technologies 4.0(advanced technologies)and employee motivation affect the link between hybrid work models and the performance of younger workers(millennials and Gen-Z)in Kerala’s IT sector.Based on a survey of 155 employees,the study shows that the hybrid work model has a significant impact on performance.While basic technologies do not have a major role,the study emphasizes that employee engagement is a key factor.As hybrid work options become more common,they will continue to shape the future of work.展开更多
The integration of artificial intelligence(AI)into various sectors has undoubtedly brought about numerous benefits,from increased efficiency to innovative problem‐solving.The growing influence of AI across several in...The integration of artificial intelligence(AI)into various sectors has undoubtedly brought about numerous benefits,from increased efficiency to innovative problem‐solving.The growing influence of AI across several industries may help to achieve the sustainable development goals(SDGs).However,due to the AI revolution happening in industries across the globe,older employees are often confronted with significant hurdles in keeping pace with these changes.The threat of job displacement looms large as automation driven by AI encroaches upon routine tasks previously performed by human workers.Job insecurity,that is,worry of losing one's job encompasses anxiety,and uneasiness,and affects the mental health of employees.To address these challenges and empower older employees in the era of open AI,it is imperative that organizations implement targeted strategies tailored to their unique needs and circumstances.Employees use the opportunities for continued education provided to them with company support to prevent unwanted effects.organizations can create an inclusive and supportive environment where older employees are empowered to embrace the opportunities presented by AI while leveraging their experience and expertise to drive innovation and success.展开更多
This study explores the impact of playful work design on employee creativity through flow,as well as the moderating role of playful climate in this relationship.We collected data from 272 employees across various indu...This study explores the impact of playful work design on employee creativity through flow,as well as the moderating role of playful climate in this relationship.We collected data from 272 employees across various industries in China(47.2%from the service industry;61.8%female;63.6%aged 26–40 years).Participants completed measures of playful work design,flow,playful climate,and creativity.Through hierarchical regression and bootstrapping analyses,the results indicate that:(a)playful work design is positively associated with creativity;(b)flow mediates this relationship;and(c)playful climate strengthens the link between playful work design and flow,thereby enhancing employee creativity.These findings support work flow theory by demonstrating that playful work design satisfies employees’basic psychological needs,stimulates intrinsic motivation,and ultimately induces flow to enhance creativity.For practical implications,managers should prioritize employees’work experience,monitor their flow states,and foster a playful climate.展开更多
The surrogate model serves as an efficient simulation tool during the slope parameter inversion process.However,the creep constitutive model integrated with dynamic damage evolution poses challenges in development of ...The surrogate model serves as an efficient simulation tool during the slope parameter inversion process.However,the creep constitutive model integrated with dynamic damage evolution poses challenges in development of the required surrogate model.In this study,a novel physics knowledge-based surrogate model framework is proposed.In this framework,a Transformer module is employed to capture straindriven softening-hardening physical mechanisms.Positional encoding and self-attention are utilized to transform the constitutive parameters associated with shear strain,which are not directly time-related,into intermediate latent features for physical loss calculation.Next,a multi-layer stacked GRU(gated recurrent unit)network is built to provide input interfaces for time-dependent intermediate latent features,hydraulic boundary conditions,and water-rock interaction degradation equations,with static parameters introduced via external fully-connected layers.Finally,a combined loss function is constructed to facilitate the collaborative training of physical and data loss,introducing time-dependent weight adjustments to focus the surrogate model on accurate deformation predictions during critical phases.Based on the deformation of a reservoir bank landslide triggered by impoundment and subsequent restabilization,an elasto-viscoplastic constitutive model that considers water effect and sliding state dependencies is developed to validate the proposed surrogate model framework.The results indicate that the framework exhibits good performance in capturing physical mechanisms and predicting creep behavior,reducing errors by about 30 times compared to baseline models such as GRU and LSTM(long short-term memory),meeting the precision requirements for parameter inversion.Ablation experiments also confirmed the effectiveness of the framework.This framework can also serve as a reference for constructing other creep surrogate models that involve non-time-related across dimensions.展开更多
How do individuals adjust their savings and consumption behaviors in response to the combined effects of increased life expectancy and declining pension replacement rates?This study constructs a life-cycle model,using...How do individuals adjust their savings and consumption behaviors in response to the combined effects of increased life expectancy and declining pension replacement rates?This study constructs a life-cycle model,using changes in conditional survival probabilities as a proxy for shifts in individual life expectancy,to examine consumption behavior under the dual backdrop of prolonged longevity and a gradual decline in pension replacement rates.The results suggest that changes in life expectancy and pension replacement rates together explain 8.9%to 10.2%of the observed decline in consumption in recent years,with both variables playing equally significant explanatory roles.Furthermore,we find that,to fully offset the negative impact of increased life expectancy on consumption,the pension replacement rate must reach at least 82%.These findings offer theoretical and policy implications for improving the quality of life in later years among enterprise employees in the context of population aging.展开更多
The study examined work engagement and coping strategies in the relationship between abusive supervision and helping behaviors among hospitality employees.Participants were 386 frontline hospitality employees(50.8%fem...The study examined work engagement and coping strategies in the relationship between abusive supervision and helping behaviors among hospitality employees.Participants were 386 frontline hospitality employees(50.8%females;38.9%with 1–5 years of experience;78.3%in the 18–40 age range).They self-reported coping strategies,abusive supervision,work engagement,and helping behaviors.Structural equation model results showed that abusive supervision to be associated with lower employee helping behaviors.Work engagement was higher with employees’helping behaviors.Engaged employees would unleash helping behaviors.Work engagement mediated the relationship between abusive supervision and helping behaviors,lowering the abusive supervision risk.Finally,avoidance of contact exacerbated the moderated abusive supervision–work engagement relationship for lower work engagement,while support-seeking and reframing exerted no moderation role.Findings suggest that avoiding an immediate supervisor exacerbates abusive supervision.Hence,applying behavior-based interviews when hiring supervisors would be of strategic advantage to employees’productivity.展开更多
Employee selection is a critical process that directly impacts organizational performance,productivity,and strategic success.This comprehensive article explores the multifaceted landscape of contemporary employee sele...Employee selection is a critical process that directly impacts organizational performance,productivity,and strategic success.This comprehensive article explores the multifaceted landscape of contemporary employee selection tools,examining their theoretical foundations,practical applications,psychological underpinnings,and empirical effectiveness.By systematically analyzing various selection methodologies,this research provides insights into the complex decision-making processes that organizations employ to identify,evaluate,and recruit top talent.The article critically evaluates the reliability,validity,advantages,and limitations of each selection tool,offering a nuanced perspective on their implementation and potential organizational impact.展开更多
Background:In the field of organizational behavior,various aspects that have an impact on employee well-being gradually become a focus of attention.Among them,performance pressure,which is a component of workplace str...Background:In the field of organizational behavior,various aspects that have an impact on employee well-being gradually become a focus of attention.Among them,performance pressure,which is a component of workplace stressors that has a great influence on employees’job performance as well as well-being,has been little studied.Therefore,this paper constructs a research model,which uses workplace anxiety as a mediating variable and vocational delay of gratification as a moderating variable,to explore the impact of performance pressure on employee well-being.Methods:Reliable data were collected by questionnaire method and data analysis was conducted with the help of SPSS 26.0.In this paper,the data statistics are carried out by correlation analysis,mediation effect analysis,and moderating effect analysis,and the regression analysis is further studied.Results:The finding shows that performance pressure impacts employee well-being negatively,and workplace anxiety has a significant negative impact on employee well-being.When the workplace anxiety variable is added,the negative impact of performance pressure on employee well-being is still significant.Therefore,it can be verified that workplace anxiety plays an intermediary role in the influencing mechanism of performance pressure on employee well-being.While high vocational delay satisfaction weakens the influence of performance pressure on employee well-being.It’s interesting that under the adjustment of low delayed gratification,low-performance pressure will lead to higher employee well-being,and the organization’s conscious reduction of performance pressure is conducive to improving employeewell-being,and under the adjustment of high delayed gratification,low-performance pressure leads to higher employee well-being,and high-performance pressure leads to lower employee well-being,which shows the weakening effect of high delayed gratification,that means vocational delay gratification plays a negative regulating role in the influencing mechanism of performance pressure and employee well-being.Conclusion:Under the mediating role of workplace anxiety,performance pressure has a significant negative impact on employee well-being,and in this influence mechanism,vocational delay gratification plays a significant negative moderating role.展开更多
This paper presents and describes an approach to generate innovative labeled datasets that enable automated text classifiers to automatically detect online employee reviews referring to accounting control deficiencies...This paper presents and describes an approach to generate innovative labeled datasets that enable automated text classifiers to automatically detect online employee reviews referring to accounting control deficiencies,facili-tating supplementary monitoring for auditors and management.Employees,who are on the front lines executing policies and procedures,play a critical role in a firm's control environment.Their feedback provides insights into how controls are functioning.Textual data were collected and manually coded using a structured coding scheme mapped to COSO internal control framework(2013)principles.The dataset is unique in that it provides a new source of data that has not been previously used in internal control research,offering new opportunities for exploring the relationship between employee feedback and control weaknesses,and shedding light on potential improvements in internal control practices.Downstream stakeholders(such as researchers,management,in-vestors,and auditors)can benefit by having rapid,automated means for filtering and prioritizing employee reviews for further investigation,with respect to accounting control issue mentions.展开更多
This phenomenological qualitative study explored the lived experiences of employees at Maryland's Historically Black Colleges and Universities(HBCUs)concerning internal control systems through the theoretical lens...This phenomenological qualitative study explored the lived experiences of employees at Maryland's Historically Black Colleges and Universities(HBCUs)concerning internal control systems through the theoretical lenses of the COSO framework and employee engagement theory.Using semi-structured interviews with faculty and staff who had worked at the institution for more than three years,the research investigated how employees perceive leadership tone,risk assessment processes,policy implementation,communication channels,and evaluation mechanisms related to internal controls.The study revealed five major themes that characterize employee experiences with internal control systems at this HBCU.Leadership communication was found to be hierarchical but inclusive,though marked by inconsistent communication of ethical values and significant resource constraints affecting implementation.Risk management practices were predominantly reactive rather than proactive,with limited systematic risk assessment processes that focused more on academic risks than operational vulnerabilities.Policy implementation was characterized by unclear separation of duties,substantial workload imbalances,and limited resources that compromised effective control activities.Communication challenges emerged as a critical weakness,with participants describing information sharing as inconsistent,unclear,and selective,compounded by significant technology obstacles in accessing necessary information.The evaluation and improvement processes were found to be limited and primarily driven by external accreditation requirements rather than systematic internal monitoring,resulting in reactive responses to issues rather than proactive enhancement.The findings contribute to the limited research on internal control systems within HBCUs by providing phenomenological insights into how structural constraints including funding limitations,unclear role delineation,and reactive management approaches create barriers to implementing robust internal control systems.Despite institutional commitment to inclusive leadership and student success,the study reveals that addressing these challenges requires not only increased resources but also structural changes to workload distribution,communication practices,and a shift toward more proactive risk management and monitoring procedures.The research provides evidence-based insights for HBCU administrators seeking to strengthen internal control implementation while maintaining institutional mission and cultural values.展开更多
A machine-learning approach was developed for automated building of knowledgebases for soil resources mapping by using a classification tree to generate knowledge from trainingdata. With this method, building a knowle...A machine-learning approach was developed for automated building of knowledgebases for soil resources mapping by using a classification tree to generate knowledge from trainingdata. With this method, building a knowledge base for automated soil mapping was easier than usingthe conventional knowledge acquisition approach. The knowledge base built by classification tree wasused by the knowledge classifier to perform the soil type classification of Longyou County,Zhejiang Province, China using Landsat TM bi-temporal images and CIS data. To evaluate theperformance of the resultant knowledge bases, the classification results were compared to existingsoil map based on a field survey. The accuracy assessment and analysis of the resultant soil mapssuggested that the knowledge bases built by the machine-learning method was of good quality formapping distribution model of soil classes over the study area.展开更多
Automatic bridge detection is an important application of SAR images.Differed from the classical CFAR method,a new knowledge-based bridge detection approach is proposed.The method not only uses the backscattering inte...Automatic bridge detection is an important application of SAR images.Differed from the classical CFAR method,a new knowledge-based bridge detection approach is proposed.The method not only uses the backscattering intensity difference between targets and background but also applies the contextual information and spatial relationship between objects.According to bridges'special characteristics and scattering properties in SAR images,the new knowledge-based method includes three processes:river segmentation,potential bridge areas detection and bridge discrimination.The application to AIRSAR data shows that the new method is not sensitive to rivers'shape.Moreover,this method can detect bridges successfully when river segmentation is not very exact and is more robust than the radius projection method.展开更多
Coping strategies adopted to deal with psychological health issues could have influences on the general health, productivity and task performance of the employee. This study sought to investigate the coping strategies...Coping strategies adopted to deal with psychological health issues could have influences on the general health, productivity and task performance of the employee. This study sought to investigate the coping strategies adopted by construction employees to deal with the causes and effects of occupational psychological disorders such as burnout and workaholism. To achieve this aim, the methods of focus group discussions were first employed. A total of 16 semi-structured focus group discussions were held in Ghana, with 90 construction employees. The focus group study revealed 25 coping strategies adopted as efforts to mitigate the causes and 22 coping strategies adopted as responses to moderate the effects of occupational psychological disorders. A quantitative study involving 150 construction professionals and 150 construction trade workers were also conducted in Ghana to investigate the coping strategies that were highly adopted by the two construction working groups. The findings from the study revealed that the construction professionals adopted delegating complicated tasks and seeking medical attention as the most common coping strategies to manage the causes and effects respectively. The construction trade workers were also revealed to adopt withdrawing from work duties or changing jobs and taking in more caffeinated drinks as the most common coping strategies to manage the causes and effects respectively. Exploratory factor analysis was employed, and the findings were put into the main constructs. The causes focused coping strategies were categorized under avoidance, alteration, adaptation, and acceptance. The effects focused coping strategies were also categorized under healthy and unhealthy coping strategies. This study recommends appropriate coping strategies and interventions in the construction industry such as education of construction personnel on the consequences of various coping strategies.展开更多
AIM:To estimate the prevalence of and risk factors for dry eye disease(DED)in young and middle-aged office employee in Xi’an.METHODS:This cross-sectional study of the prevalence of and risk factors for DED investigat...AIM:To estimate the prevalence of and risk factors for dry eye disease(DED)in young and middle-aged office employee in Xi’an.METHODS:This cross-sectional study of the prevalence of and risk factors for DED investigated 486 young and middle-aged Chinese office employee in Xi’an.DED symptoms and potential risk factors were assessed using the ocular surface disease index combined with a risk factors questionnaire,and tear function was evaluated using the tear film break-up time and Schirmer’s test.Possible risk factors for DED were estimated by binary Logistic regression analysis.RESULTS:DED was diagnosed in 100 females and 96 males,giving a prevalence of 40.3%[95%confidence interval(CI)=36.0%-44.7%].The multivariate binary Logistic regression model indicated that the possible risk factors for DED were being female(OR=1.592,95%CI=1.034-2.451,P=0.035),being aged≥40 y(OR=1.593,95%CI=1.034-2.454,P=0.035),using a VDT daily for>6 h(OR=1.990,95%CI=1.334-2.971,P=0.001),the presence of central air conditioning(OR=1.548,95%CI=1.053-2.276,P=0.026),and self-reported dryness of the mouth and nose(OR=1.589,95%CI=1.071-2.357,P=0.021).CONCLUSION:There is a high prevalence of clinically diagnosed DED in young and middle-aged video displayterminal(VDT)users.Interventions against the modifiable risk factors should be taken to prevent the occurrence and development of DED in this population.展开更多
Due to the insufficiency of utilizing knowledge to guide the complex optimal searching, existing genetic algorithms fail to effectively solve excavator boom structural optimization problem. To improve the optimization...Due to the insufficiency of utilizing knowledge to guide the complex optimal searching, existing genetic algorithms fail to effectively solve excavator boom structural optimization problem. To improve the optimization efficiency and quality, a new knowledge-based real-coded genetic algorithm is proposed. A dual evolution mechanism combining knowledge evolution with genetic algorithm is established to extract, handle and utilize the shallow and deep implicit constraint knowledge to guide the optimal searching of genetic algorithm circularly. Based on this dual evolution mechanism, knowledge evolution and population evolution can be connected by knowledge influence operators to improve the conflgurability of knowledge and genetic operators. Then, the new knowledge-based selection operator, crossover operator and mutation operator are proposed to integrate the optimal process knowledge and domain culture to guide the excavator boom structural optimization. Eight kinds of testing algorithms, which include different genetic operators, arc taken as examples to solve the structural optimization of a medium-sized excavator boom. By comparing the results of optimization, it is shown that the algorithm including all the new knowledge-based genetic operators can more remarkably improve the evolutionary rate and searching ability than other testing algorithms, which demonstrates the effectiveness of knowledge for guiding optimal searching. The proposed knowledge-based genetic algorithm by combining multi-level knowledge evolution with numerical optimization provides a new effective method for solving the complex engineering optimization problem.展开更多
Knowledge-Based Engineering （KBE） is introduced into the ship structural design in this paper. From the implementation of KBE, the design solutions for both Rules Design Method （RDM） and Interpolation Design Meth...Knowledge-Based Engineering （KBE） is introduced into the ship structural design in this paper. From the implementation of KBE, the design solutions for both Rules Design Method （RDM） and Interpolation Design Method （IDM） are generated. The corresponding Finite Element （FE） models are generated. Topological design of the longitudinal structures is studied where the Gaussian Process （GP） is employed to build the surrogate model for FE analysis. Multi-objective optimization methods inspired by Pareto Front are used to reduce the design tank weight and outer surface area simultaneously. Additionally, an enhanced Level Set Method （LSM） which employs implicit algorithm is applied to the topological design of typical bracket plate which is used extensively in ship structures. Two different sets of boundary conditions are considered. The proposed methods show satisfactory efficiency and accuracy.展开更多
Personal factors could act as intervening variables between the causes and effects of psychological health conditions of employees. This study focused on six personal intervening factors that were associated with the ...Personal factors could act as intervening variables between the causes and effects of psychological health conditions of employees. This study focused on six personal intervening factors that were associated with the risks of occupational psychological disorders namely: low self-esteem, negative personality trait, unproductive core beliefs, poor self-concept evaluation on performance, poor relationship with others and poor time management skills. An investigation on the level of severity of these personal intervening factors was conducted involving 150 construction professionals and 150 construction trade workers, who were purposively selected in Ghana. The personal factors that were found to be prevalent among the construction employees were low self-esteem and poor time management skills. Correlation analysis and regression analysis were used to determine the relationships between the personal intervening factors and demographic factors such as the age, educational levels and marital status of the research participants. The results of the study indicated that the age and marital status of the respondents had no significant relationship with any of the personal intervening factors. Personal factors such as personality trait and relationship with others also had no relation with any of the demographic factors analyzed. The educational level of the respondents, however, had a significant relationship with the factors of self-esteem, productive core beliefs, self-evaluation on performance and time management skills. An independent two-sample T-test was used to compare the means of the factors with significant relations. This study revealed that construction employees who were highly educated had better self-esteem and time management skills than those who were less educated. The findings from this study broaden the view of moderators on influential sources of psychological health conditions of employees.展开更多
基金supported by the National Natural Science Foundation of China(Nos.62572017,62441232,62206007)R&D Program of Beijing Municipal Education Commission(KZ202210005008).
文摘Knowledge-based VisualQuestion Answering(VQA)requires the integration of visual information with external knowledge reasoning.Existing approaches typically retrieve information from external corpora and rely on pretrained language models for reasoning.However,their performance is often hindered by the limited capabilities of retrievers and the constrained size of knowledge bases.Moreover,relying on image captions to bridge the modal gap between visual and language modalities can lead to the omission of critical visual details.To address these limitations,we propose the Reflective Chain-of-Thought(ReCoT)method,a simple yet effective framework inspired by metacognition theory.ReCoT effectively activates the reasoning capabilities ofMultimodal Large LanguageModels(MLLMs),providing essential visual and knowledge cues required to solve complex visual questions.It simulates a metacognitive reasoning process that encompasses monitoring,reflection,and correction.Specifically,in the initial generation stage,an MLLM produces a preliminary answer that serves as the model’s initial cognitive output.During the reflective reasoning stage,this answer is critically examined to generate a reflective rationale that integrates key visual evidence and relevant knowledge.In the final refinement stage,a smaller language model leverages this rationale to revise the initial prediction,resulting in amore accurate final answer.By harnessing the strengths ofMLLMs in visual and knowledge grounding,ReCoT enables smaller language models to reason effectively without dependence on image captions or external knowledge bases.Experimental results demonstrate that ReCoT achieves substantial performance improvements,outperforming state-of-the-art methods by 2.26%on OK-VQA and 5.8%on A-OKVQA.
文摘During the COVID-19 pandemic,most businesses adopted hybrid work arrangements,adapting to changing workplace demands.This study explores how Technologies 4.0(advanced technologies)and employee motivation affect the link between hybrid work models and the performance of younger workers(millennials and Gen-Z)in Kerala’s IT sector.Based on a survey of 155 employees,the study shows that the hybrid work model has a significant impact on performance.While basic technologies do not have a major role,the study emphasizes that employee engagement is a key factor.As hybrid work options become more common,they will continue to shape the future of work.
文摘The integration of artificial intelligence(AI)into various sectors has undoubtedly brought about numerous benefits,from increased efficiency to innovative problem‐solving.The growing influence of AI across several industries may help to achieve the sustainable development goals(SDGs).However,due to the AI revolution happening in industries across the globe,older employees are often confronted with significant hurdles in keeping pace with these changes.The threat of job displacement looms large as automation driven by AI encroaches upon routine tasks previously performed by human workers.Job insecurity,that is,worry of losing one's job encompasses anxiety,and uneasiness,and affects the mental health of employees.To address these challenges and empower older employees in the era of open AI,it is imperative that organizations implement targeted strategies tailored to their unique needs and circumstances.Employees use the opportunities for continued education provided to them with company support to prevent unwanted effects.organizations can create an inclusive and supportive environment where older employees are empowered to embrace the opportunities presented by AI while leveraging their experience and expertise to drive innovation and success.
基金funded by the scientific research project of the Education Department of Hunan Province,China(Grant No.24A0123).
文摘This study explores the impact of playful work design on employee creativity through flow,as well as the moderating role of playful climate in this relationship.We collected data from 272 employees across various industries in China(47.2%from the service industry;61.8%female;63.6%aged 26–40 years).Participants completed measures of playful work design,flow,playful climate,and creativity.Through hierarchical regression and bootstrapping analyses,the results indicate that:(a)playful work design is positively associated with creativity;(b)flow mediates this relationship;and(c)playful climate strengthens the link between playful work design and flow,thereby enhancing employee creativity.These findings support work flow theory by demonstrating that playful work design satisfies employees’basic psychological needs,stimulates intrinsic motivation,and ultimately induces flow to enhance creativity.For practical implications,managers should prioritize employees’work experience,monitor their flow states,and foster a playful climate.
基金supported by the National Natural Science Foundation of China(Grant No.41961134032).
文摘The surrogate model serves as an efficient simulation tool during the slope parameter inversion process.However,the creep constitutive model integrated with dynamic damage evolution poses challenges in development of the required surrogate model.In this study,a novel physics knowledge-based surrogate model framework is proposed.In this framework,a Transformer module is employed to capture straindriven softening-hardening physical mechanisms.Positional encoding and self-attention are utilized to transform the constitutive parameters associated with shear strain,which are not directly time-related,into intermediate latent features for physical loss calculation.Next,a multi-layer stacked GRU(gated recurrent unit)network is built to provide input interfaces for time-dependent intermediate latent features,hydraulic boundary conditions,and water-rock interaction degradation equations,with static parameters introduced via external fully-connected layers.Finally,a combined loss function is constructed to facilitate the collaborative training of physical and data loss,introducing time-dependent weight adjustments to focus the surrogate model on accurate deformation predictions during critical phases.Based on the deformation of a reservoir bank landslide triggered by impoundment and subsequent restabilization,an elasto-viscoplastic constitutive model that considers water effect and sliding state dependencies is developed to validate the proposed surrogate model framework.The results indicate that the framework exhibits good performance in capturing physical mechanisms and predicting creep behavior,reducing errors by about 30 times compared to baseline models such as GRU and LSTM(long short-term memory),meeting the precision requirements for parameter inversion.Ablation experiments also confirmed the effectiveness of the framework.This framework can also serve as a reference for constructing other creep surrogate models that involve non-time-related across dimensions.
文摘How do individuals adjust their savings and consumption behaviors in response to the combined effects of increased life expectancy and declining pension replacement rates?This study constructs a life-cycle model,using changes in conditional survival probabilities as a proxy for shifts in individual life expectancy,to examine consumption behavior under the dual backdrop of prolonged longevity and a gradual decline in pension replacement rates.The results suggest that changes in life expectancy and pension replacement rates together explain 8.9%to 10.2%of the observed decline in consumption in recent years,with both variables playing equally significant explanatory roles.Furthermore,we find that,to fully offset the negative impact of increased life expectancy on consumption,the pension replacement rate must reach at least 82%.These findings offer theoretical and policy implications for improving the quality of life in later years among enterprise employees in the context of population aging.
文摘The study examined work engagement and coping strategies in the relationship between abusive supervision and helping behaviors among hospitality employees.Participants were 386 frontline hospitality employees(50.8%females;38.9%with 1–5 years of experience;78.3%in the 18–40 age range).They self-reported coping strategies,abusive supervision,work engagement,and helping behaviors.Structural equation model results showed that abusive supervision to be associated with lower employee helping behaviors.Work engagement was higher with employees’helping behaviors.Engaged employees would unleash helping behaviors.Work engagement mediated the relationship between abusive supervision and helping behaviors,lowering the abusive supervision risk.Finally,avoidance of contact exacerbated the moderated abusive supervision–work engagement relationship for lower work engagement,while support-seeking and reframing exerted no moderation role.Findings suggest that avoiding an immediate supervisor exacerbates abusive supervision.Hence,applying behavior-based interviews when hiring supervisors would be of strategic advantage to employees’productivity.
文摘Employee selection is a critical process that directly impacts organizational performance,productivity,and strategic success.This comprehensive article explores the multifaceted landscape of contemporary employee selection tools,examining their theoretical foundations,practical applications,psychological underpinnings,and empirical effectiveness.By systematically analyzing various selection methodologies,this research provides insights into the complex decision-making processes that organizations employ to identify,evaluate,and recruit top talent.The article critically evaluates the reliability,validity,advantages,and limitations of each selection tool,offering a nuanced perspective on their implementation and potential organizational impact.
基金funded by the Hebei Provincial Party School of the CPC(Hebei Institute of Administration)Innovation Engineering Research Project(National Social Science Fund Cultivation Special)Nanjing University of Finance and Economics Major Special Teaching Reform Project“Research on Personalized Learning Mode and Implementation Path for College Students under the Background of Smart Education”the China Postdoctoral Science Foundation(Grant number:2019M662309).
文摘Background:In the field of organizational behavior,various aspects that have an impact on employee well-being gradually become a focus of attention.Among them,performance pressure,which is a component of workplace stressors that has a great influence on employees’job performance as well as well-being,has been little studied.Therefore,this paper constructs a research model,which uses workplace anxiety as a mediating variable and vocational delay of gratification as a moderating variable,to explore the impact of performance pressure on employee well-being.Methods:Reliable data were collected by questionnaire method and data analysis was conducted with the help of SPSS 26.0.In this paper,the data statistics are carried out by correlation analysis,mediation effect analysis,and moderating effect analysis,and the regression analysis is further studied.Results:The finding shows that performance pressure impacts employee well-being negatively,and workplace anxiety has a significant negative impact on employee well-being.When the workplace anxiety variable is added,the negative impact of performance pressure on employee well-being is still significant.Therefore,it can be verified that workplace anxiety plays an intermediary role in the influencing mechanism of performance pressure on employee well-being.While high vocational delay satisfaction weakens the influence of performance pressure on employee well-being.It’s interesting that under the adjustment of low delayed gratification,low-performance pressure will lead to higher employee well-being,and the organization’s conscious reduction of performance pressure is conducive to improving employeewell-being,and under the adjustment of high delayed gratification,low-performance pressure leads to higher employee well-being,and high-performance pressure leads to lower employee well-being,which shows the weakening effect of high delayed gratification,that means vocational delay gratification plays a negative regulating role in the influencing mechanism of performance pressure and employee well-being.Conclusion:Under the mediating role of workplace anxiety,performance pressure has a significant negative impact on employee well-being,and in this influence mechanism,vocational delay gratification plays a significant negative moderating role.
文摘This paper presents and describes an approach to generate innovative labeled datasets that enable automated text classifiers to automatically detect online employee reviews referring to accounting control deficiencies,facili-tating supplementary monitoring for auditors and management.Employees,who are on the front lines executing policies and procedures,play a critical role in a firm's control environment.Their feedback provides insights into how controls are functioning.Textual data were collected and manually coded using a structured coding scheme mapped to COSO internal control framework(2013)principles.The dataset is unique in that it provides a new source of data that has not been previously used in internal control research,offering new opportunities for exploring the relationship between employee feedback and control weaknesses,and shedding light on potential improvements in internal control practices.Downstream stakeholders(such as researchers,management,in-vestors,and auditors)can benefit by having rapid,automated means for filtering and prioritizing employee reviews for further investigation,with respect to accounting control issue mentions.
文摘This phenomenological qualitative study explored the lived experiences of employees at Maryland's Historically Black Colleges and Universities(HBCUs)concerning internal control systems through the theoretical lenses of the COSO framework and employee engagement theory.Using semi-structured interviews with faculty and staff who had worked at the institution for more than three years,the research investigated how employees perceive leadership tone,risk assessment processes,policy implementation,communication channels,and evaluation mechanisms related to internal controls.The study revealed five major themes that characterize employee experiences with internal control systems at this HBCU.Leadership communication was found to be hierarchical but inclusive,though marked by inconsistent communication of ethical values and significant resource constraints affecting implementation.Risk management practices were predominantly reactive rather than proactive,with limited systematic risk assessment processes that focused more on academic risks than operational vulnerabilities.Policy implementation was characterized by unclear separation of duties,substantial workload imbalances,and limited resources that compromised effective control activities.Communication challenges emerged as a critical weakness,with participants describing information sharing as inconsistent,unclear,and selective,compounded by significant technology obstacles in accessing necessary information.The evaluation and improvement processes were found to be limited and primarily driven by external accreditation requirements rather than systematic internal monitoring,resulting in reactive responses to issues rather than proactive enhancement.The findings contribute to the limited research on internal control systems within HBCUs by providing phenomenological insights into how structural constraints including funding limitations,unclear role delineation,and reactive management approaches create barriers to implementing robust internal control systems.Despite institutional commitment to inclusive leadership and student success,the study reveals that addressing these challenges requires not only increased resources but also structural changes to workload distribution,communication practices,and a shift toward more proactive risk management and monitoring procedures.The research provides evidence-based insights for HBCU administrators seeking to strengthen internal control implementation while maintaining institutional mission and cultural values.
基金Project supported by the National Natural Science Foundation of China(Nos.40101014 and 40001008).
文摘A machine-learning approach was developed for automated building of knowledgebases for soil resources mapping by using a classification tree to generate knowledge from trainingdata. With this method, building a knowledge base for automated soil mapping was easier than usingthe conventional knowledge acquisition approach. The knowledge base built by classification tree wasused by the knowledge classifier to perform the soil type classification of Longyou County,Zhejiang Province, China using Landsat TM bi-temporal images and CIS data. To evaluate theperformance of the resultant knowledge bases, the classification results were compared to existingsoil map based on a field survey. The accuracy assessment and analysis of the resultant soil mapssuggested that the knowledge bases built by the machine-learning method was of good quality formapping distribution model of soil classes over the study area.
基金supported by the National Key Laboratory of ATR(9140C8002010706).
文摘Automatic bridge detection is an important application of SAR images.Differed from the classical CFAR method,a new knowledge-based bridge detection approach is proposed.The method not only uses the backscattering intensity difference between targets and background but also applies the contextual information and spatial relationship between objects.According to bridges'special characteristics and scattering properties in SAR images,the new knowledge-based method includes three processes:river segmentation,potential bridge areas detection and bridge discrimination.The application to AIRSAR data shows that the new method is not sensitive to rivers'shape.Moreover,this method can detect bridges successfully when river segmentation is not very exact and is more robust than the radius projection method.
文摘Coping strategies adopted to deal with psychological health issues could have influences on the general health, productivity and task performance of the employee. This study sought to investigate the coping strategies adopted by construction employees to deal with the causes and effects of occupational psychological disorders such as burnout and workaholism. To achieve this aim, the methods of focus group discussions were first employed. A total of 16 semi-structured focus group discussions were held in Ghana, with 90 construction employees. The focus group study revealed 25 coping strategies adopted as efforts to mitigate the causes and 22 coping strategies adopted as responses to moderate the effects of occupational psychological disorders. A quantitative study involving 150 construction professionals and 150 construction trade workers were also conducted in Ghana to investigate the coping strategies that were highly adopted by the two construction working groups. The findings from the study revealed that the construction professionals adopted delegating complicated tasks and seeking medical attention as the most common coping strategies to manage the causes and effects respectively. The construction trade workers were also revealed to adopt withdrawing from work duties or changing jobs and taking in more caffeinated drinks as the most common coping strategies to manage the causes and effects respectively. Exploratory factor analysis was employed, and the findings were put into the main constructs. The causes focused coping strategies were categorized under avoidance, alteration, adaptation, and acceptance. The effects focused coping strategies were also categorized under healthy and unhealthy coping strategies. This study recommends appropriate coping strategies and interventions in the construction industry such as education of construction personnel on the consequences of various coping strategies.
基金Supported by Science and Technology Major Projects of Shaanxi Province,China(No.2017ZDXMSF-070)Science Foundation of Shaanxi Province,China(No.2010JM4011)Xi’an Science and Technology Bureau,China(No.2019115913YX014SF047)。
文摘AIM:To estimate the prevalence of and risk factors for dry eye disease(DED)in young and middle-aged office employee in Xi’an.METHODS:This cross-sectional study of the prevalence of and risk factors for DED investigated 486 young and middle-aged Chinese office employee in Xi’an.DED symptoms and potential risk factors were assessed using the ocular surface disease index combined with a risk factors questionnaire,and tear function was evaluated using the tear film break-up time and Schirmer’s test.Possible risk factors for DED were estimated by binary Logistic regression analysis.RESULTS:DED was diagnosed in 100 females and 96 males,giving a prevalence of 40.3%[95%confidence interval(CI)=36.0%-44.7%].The multivariate binary Logistic regression model indicated that the possible risk factors for DED were being female(OR=1.592,95%CI=1.034-2.451,P=0.035),being aged≥40 y(OR=1.593,95%CI=1.034-2.454,P=0.035),using a VDT daily for>6 h(OR=1.990,95%CI=1.334-2.971,P=0.001),the presence of central air conditioning(OR=1.548,95%CI=1.053-2.276,P=0.026),and self-reported dryness of the mouth and nose(OR=1.589,95%CI=1.071-2.357,P=0.021).CONCLUSION:There is a high prevalence of clinically diagnosed DED in young and middle-aged video displayterminal(VDT)users.Interventions against the modifiable risk factors should be taken to prevent the occurrence and development of DED in this population.
基金supported by National Natural Science Foundation of China(Grant No.51175086)
文摘Due to the insufficiency of utilizing knowledge to guide the complex optimal searching, existing genetic algorithms fail to effectively solve excavator boom structural optimization problem. To improve the optimization efficiency and quality, a new knowledge-based real-coded genetic algorithm is proposed. A dual evolution mechanism combining knowledge evolution with genetic algorithm is established to extract, handle and utilize the shallow and deep implicit constraint knowledge to guide the optimal searching of genetic algorithm circularly. Based on this dual evolution mechanism, knowledge evolution and population evolution can be connected by knowledge influence operators to improve the conflgurability of knowledge and genetic operators. Then, the new knowledge-based selection operator, crossover operator and mutation operator are proposed to integrate the optimal process knowledge and domain culture to guide the excavator boom structural optimization. Eight kinds of testing algorithms, which include different genetic operators, arc taken as examples to solve the structural optimization of a medium-sized excavator boom. By comparing the results of optimization, it is shown that the algorithm including all the new knowledge-based genetic operators can more remarkably improve the evolutionary rate and searching ability than other testing algorithms, which demonstrates the effectiveness of knowledge for guiding optimal searching. The proposed knowledge-based genetic algorithm by combining multi-level knowledge evolution with numerical optimization provides a new effective method for solving the complex engineering optimization problem.
基金financially supported by the Project of Ministry of Education and Finance of China(Grant Nos.200512 and 201335)the Project of the State Key Laboratory of Ocean Engineering,Shanghai Jiao Tong University(Grant No.GKZD010053-10)
文摘Knowledge-Based Engineering （KBE） is introduced into the ship structural design in this paper. From the implementation of KBE, the design solutions for both Rules Design Method （RDM） and Interpolation Design Method （IDM） are generated. The corresponding Finite Element （FE） models are generated. Topological design of the longitudinal structures is studied where the Gaussian Process （GP） is employed to build the surrogate model for FE analysis. Multi-objective optimization methods inspired by Pareto Front are used to reduce the design tank weight and outer surface area simultaneously. Additionally, an enhanced Level Set Method （LSM） which employs implicit algorithm is applied to the topological design of typical bracket plate which is used extensively in ship structures. Two different sets of boundary conditions are considered. The proposed methods show satisfactory efficiency and accuracy.
文摘Personal factors could act as intervening variables between the causes and effects of psychological health conditions of employees. This study focused on six personal intervening factors that were associated with the risks of occupational psychological disorders namely: low self-esteem, negative personality trait, unproductive core beliefs, poor self-concept evaluation on performance, poor relationship with others and poor time management skills. An investigation on the level of severity of these personal intervening factors was conducted involving 150 construction professionals and 150 construction trade workers, who were purposively selected in Ghana. The personal factors that were found to be prevalent among the construction employees were low self-esteem and poor time management skills. Correlation analysis and regression analysis were used to determine the relationships between the personal intervening factors and demographic factors such as the age, educational levels and marital status of the research participants. The results of the study indicated that the age and marital status of the respondents had no significant relationship with any of the personal intervening factors. Personal factors such as personality trait and relationship with others also had no relation with any of the demographic factors analyzed. The educational level of the respondents, however, had a significant relationship with the factors of self-esteem, productive core beliefs, self-evaluation on performance and time management skills. An independent two-sample T-test was used to compare the means of the factors with significant relations. This study revealed that construction employees who were highly educated had better self-esteem and time management skills than those who were less educated. The findings from this study broaden the view of moderators on influential sources of psychological health conditions of employees.
