Sharing behavior is of great significance to the development of young children.This paper takes 170 middle class children as a sample to explore the influencing factors of sharing behavior in preschool children and it...Sharing behavior is of great significance to the development of young children.This paper takes 170 middle class children as a sample to explore the influencing factors of sharing behavior in preschool children and its age development characteristics.This study shows that the score of willingness to share and the number of shares was inversely proportional to the value of the shared items;When there is an abundance of items to share,children share significantly more in the presence of the sharing partner than in the absence of the partner.Based on the findings,educational recommendations are made from three aspects:cultivating intrinsic motivation in children,enhancing the stability of children’s behavior,and guiding children to form correct values.展开更多
Load sharing behavior is very important for power-split gearing system, star gearing reducer as a new type and special transmission system can be used in many industry fields. However, there is few literature regardin...Load sharing behavior is very important for power-split gearing system, star gearing reducer as a new type and special transmission system can be used in many industry fields. However, there is few literature regarding the key multiple-split load sharing issue in main gearbox used in new type geared turbofan engine. Further mechanism anal- ysis are made on load sharing behavior among star gears of star gearing reducer for geared turbofan engine. Compre- hensive meshing error analysis are conducted on eccentricity error, gear thickness error, base pitch error, assembly error, and bearing error of star gearing reducer respectively. Floating meshing error resulting from meshing clearance variation caused by the simultaneous floating of sun gear and annular gear are taken into account. A refined mathematical model for load sharing coefficient calculation is established in consideration of different meshing stiffness and support- ing stiffness for components. The regular curves of load sharing coefficient under the influence of interactions, single action and single variation of various component errors are obtained. The accurate sensitivity of load sharing coefficienttoward different errors is mastered. The load sharing coef- ficient of star gearing reducer is 1.033 and the maximum meshing force in gear tooth is about 3010 N. This paper provides scientific theory evidences for optimal parameter design and proper tolerance distribution in advanced devel- opment and manufacturing process, so as to achieve optimal effects in economy and technology.展开更多
Based on the individual level,influencing factors of stakeholders knowledge sharing behavior in aircraft product development are discussed,which are participant degree,sharing intention,and sharing capability.And the ...Based on the individual level,influencing factors of stakeholders knowledge sharing behavior in aircraft product development are discussed,which are participant degree,sharing intention,and sharing capability.And the relationship of these factors between explicit knowledge sharing behavior and tacit knowledge sharing behavior are analyzed theoretically,some assumptions are put forward,and a theorittcal study model is established.Then,using a structural equation model,the assumptions are validated through principal component analysis and model fitting for 215 sample data.Lastly,the conclusion is gained that participant degree,sharing intention,and sharing capability all have a significant positive effect on the explicit knowledge sharing behavior and tacit knowledge sharing behavior in aircraft product development.展开更多
In the context of globalization and informatization, some traditionally lowtech and labor-intensive sectors have developed mobile Internet-based platforms and formed a new business format: the sharing economy. In the ...In the context of globalization and informatization, some traditionally lowtech and labor-intensive sectors have developed mobile Internet-based platforms and formed a new business format: the sharing economy. In the beginning, such a new business format lowered the threshold of participation, cut dealing costs, and enjoyed the relative advantage of being free from regulatory institutions. Therefore, it easily attracted investments and witnessed rapid development. Early-stage of the sharing economy features were "being shared, collaborative and on-demand." For a variety of reasons, the development of the sharing economy has already been accepted and recognized by current society. It is expected to become a new growth point and has the chance to replace the established business format of our industrial society and subsequently trigger many more "pain points." Regarding the regulation and governance of the sharing economy, there are divergences in its legality, platform nature, industrial impact and employment relationships. Identifying and resolving such regulatory divergences to the maximum degree is a prerequisite for the governance of the sharing economy and also a key to its smooth development.展开更多
The nervous system orchestrates diverse behaviors such as reproduction, sleep, feeding, and aggression, and selects a single behavior for execution at any given time. This requires neural mechanisms for behavioral sel...The nervous system orchestrates diverse behaviors such as reproduction, sleep, feeding, and aggression, and selects a single behavior for execution at any given time. This requires neural mechanisms for behavioral selection sensitive to both internal physiological states and external environmental conditions. For example, hungry animals展开更多
Purpose:Explore the factors affecting medical data sharing in clinical research scenarios from the user’s perspective,reveal the differences between different user groups,and deepen the understanding of medical data ...Purpose:Explore the factors affecting medical data sharing in clinical research scenarios from the user’s perspective,reveal the differences between different user groups,and deepen the understanding of medical data sharing mechanisms.Design/methodology/approach:By integrating the UTAUT model,trust theory and self-efficacy theory,introducing the concepts of data transparency and individual innovation,and combining internal and external motivators,we constructed a conceptual model of medical data users’sharing behavior in clinical research scenarios.We conducted empirical research by collecting 360 pieces of first-hand data from clinical researchers.Findings:Among the internal motivators,effort expectation had a higher impact on sharing intention than performance expectation,individual innovation and self-efficacy had a higher impact on sharing behavior than trust.Trust does not show a significant impact on sharing intention,but it has a significant positive influence on sharing behavior.Among the external motivators,community influence and data transparency both positively affect sharing intention.In addition,users with different working years,professional status,data level needs,and different sharing experiences showed significant differences in healthcare data sharing.Research limitations:Our sample of clinical researchers from China was used as empirical data.Further research is needed to examine the generality of the study findings.Practical implications:The findings enhance healthcare data stakeholders’understanding of healthcare data sharing in clinical research scenarios and provide theoretical and practical insights for relevant researchers.Originality/value:In this study,the UTAUT model,trust theory and self-efficacy theory were integrated and applied to clinical research scenarios for the first time,and the concepts of data transparency and individual innovation were introduced,and the CRS-USB conceptual model was constructed and validated to extend the UTAUT model.展开更多
基金Research results of Shandong Provincial Education Science“14^(th) Five-Year Plan”2021,Research on Painting Interpretation and Psychological Intervention of Rural Left-behind Children(Project No.:2021ZD043)。
文摘Sharing behavior is of great significance to the development of young children.This paper takes 170 middle class children as a sample to explore the influencing factors of sharing behavior in preschool children and its age development characteristics.This study shows that the score of willingness to share and the number of shares was inversely proportional to the value of the shared items;When there is an abundance of items to share,children share significantly more in the presence of the sharing partner than in the absence of the partner.Based on the findings,educational recommendations are made from three aspects:cultivating intrinsic motivation in children,enhancing the stability of children’s behavior,and guiding children to form correct values.
基金Supported by National Key Technology R&D Program(No.2014BAF08B01)Natural Science Foundation of Tianjin(Grant No.17JCQNJC04300)
文摘Load sharing behavior is very important for power-split gearing system, star gearing reducer as a new type and special transmission system can be used in many industry fields. However, there is few literature regarding the key multiple-split load sharing issue in main gearbox used in new type geared turbofan engine. Further mechanism anal- ysis are made on load sharing behavior among star gears of star gearing reducer for geared turbofan engine. Compre- hensive meshing error analysis are conducted on eccentricity error, gear thickness error, base pitch error, assembly error, and bearing error of star gearing reducer respectively. Floating meshing error resulting from meshing clearance variation caused by the simultaneous floating of sun gear and annular gear are taken into account. A refined mathematical model for load sharing coefficient calculation is established in consideration of different meshing stiffness and support- ing stiffness for components. The regular curves of load sharing coefficient under the influence of interactions, single action and single variation of various component errors are obtained. The accurate sensitivity of load sharing coefficienttoward different errors is mastered. The load sharing coef- ficient of star gearing reducer is 1.033 and the maximum meshing force in gear tooth is about 3010 N. This paper provides scientific theory evidences for optimal parameter design and proper tolerance distribution in advanced devel- opment and manufacturing process, so as to achieve optimal effects in economy and technology.
基金supported by National Natural Science Foundation of China under Grant No.71001085No.71371154Humanities,Social Science and Management Foundation of NPU under Grant No.RW201306
文摘Based on the individual level,influencing factors of stakeholders knowledge sharing behavior in aircraft product development are discussed,which are participant degree,sharing intention,and sharing capability.And the relationship of these factors between explicit knowledge sharing behavior and tacit knowledge sharing behavior are analyzed theoretically,some assumptions are put forward,and a theorittcal study model is established.Then,using a structural equation model,the assumptions are validated through principal component analysis and model fitting for 215 sample data.Lastly,the conclusion is gained that participant degree,sharing intention,and sharing capability all have a significant positive effect on the explicit knowledge sharing behavior and tacit knowledge sharing behavior in aircraft product development.
基金included in a key art studies program of the National Social Sciences Foundation of China(15AH006)
文摘In the context of globalization and informatization, some traditionally lowtech and labor-intensive sectors have developed mobile Internet-based platforms and formed a new business format: the sharing economy. In the beginning, such a new business format lowered the threshold of participation, cut dealing costs, and enjoyed the relative advantage of being free from regulatory institutions. Therefore, it easily attracted investments and witnessed rapid development. Early-stage of the sharing economy features were "being shared, collaborative and on-demand." For a variety of reasons, the development of the sharing economy has already been accepted and recognized by current society. It is expected to become a new growth point and has the chance to replace the established business format of our industrial society and subsequently trigger many more "pain points." Regarding the regulation and governance of the sharing economy, there are divergences in its legality, platform nature, industrial impact and employment relationships. Identifying and resolving such regulatory divergences to the maximum degree is a prerequisite for the governance of the sharing economy and also a key to its smooth development.
文摘The nervous system orchestrates diverse behaviors such as reproduction, sleep, feeding, and aggression, and selects a single behavior for execution at any given time. This requires neural mechanisms for behavioral selection sensitive to both internal physiological states and external environmental conditions. For example, hungry animals
基金supported by the National Natural Science Foundation of China(Grant No.72374081)the Key Research and Development Project of the Department of Science and Technology of Jilin Province(Grant No.20240304164SF).
文摘Purpose:Explore the factors affecting medical data sharing in clinical research scenarios from the user’s perspective,reveal the differences between different user groups,and deepen the understanding of medical data sharing mechanisms.Design/methodology/approach:By integrating the UTAUT model,trust theory and self-efficacy theory,introducing the concepts of data transparency and individual innovation,and combining internal and external motivators,we constructed a conceptual model of medical data users’sharing behavior in clinical research scenarios.We conducted empirical research by collecting 360 pieces of first-hand data from clinical researchers.Findings:Among the internal motivators,effort expectation had a higher impact on sharing intention than performance expectation,individual innovation and self-efficacy had a higher impact on sharing behavior than trust.Trust does not show a significant impact on sharing intention,but it has a significant positive influence on sharing behavior.Among the external motivators,community influence and data transparency both positively affect sharing intention.In addition,users with different working years,professional status,data level needs,and different sharing experiences showed significant differences in healthcare data sharing.Research limitations:Our sample of clinical researchers from China was used as empirical data.Further research is needed to examine the generality of the study findings.Practical implications:The findings enhance healthcare data stakeholders’understanding of healthcare data sharing in clinical research scenarios and provide theoretical and practical insights for relevant researchers.Originality/value:In this study,the UTAUT model,trust theory and self-efficacy theory were integrated and applied to clinical research scenarios for the first time,and the concepts of data transparency and individual innovation were introduced,and the CRS-USB conceptual model was constructed and validated to extend the UTAUT model.
