The current advancement in cloud computing,Artificial Intelligence(AI),and the Internet of Things(IoT)transformed the traditional healthcare system into smart healthcare.Healthcare services could be enhanced by incorp...The current advancement in cloud computing,Artificial Intelligence(AI),and the Internet of Things(IoT)transformed the traditional healthcare system into smart healthcare.Healthcare services could be enhanced by incorporating key techniques like AI and IoT.The convergence of AI and IoT provides distinct opportunities in the medical field.Fall is regarded as a primary cause of death or post-traumatic complication for the ageing population.Therefore,earlier detection of older person falls in smart homes is required to improve the survival rate of an individual or provide the necessary support.Lately,the emergence of IoT,AI,smartphones,wearables,and so on making it possible to design fall detection(FD)systems for smart home care.This article introduces a new Teamwork Optimization with Deep Learning based Fall Detection for IoT Enabled Smart Healthcare Systems(TWODLFDSHS).The TWODL-FDSHS technique’s goal is to detect fall events for a smart healthcare system.Initially,the presented TWODL-FDSHS technique exploits IoT devices for the data collection process.Next,the TWODLFDSHS technique applies the TWO with Capsule Network(CapsNet)model for feature extraction.At last,a deep random vector functional link network(DRVFLN)with an Adam optimizer is exploited for fall event detection.A wide range of simulations took place to exhibit the enhanced performance of the presentedTWODL-FDSHS technique.The experimental outcomes stated the enhancements of the TWODL-FDSHS method over other models with increased accuracy of 98.30%on the URFD dataset.展开更多
Work-team has emerged as an important unit composi ng the organization today. The concepts relating to the properties of team-role t hat fit with today’s business environment have attracted much attention from the th...Work-team has emerged as an important unit composi ng the organization today. The concepts relating to the properties of team-role t hat fit with today’s business environment have attracted much attention from the theorists and researchers. A team having a balanced composition of team-ro les is called a balanced team. Theoretically, a balanced team usually renders a better team performance. Therefore, to improve the performance of the team, mana gement needs to ensure that their work teams are composed of appropriate team me mbers with complementary skills, playing different roles, together forming a bal anced team. However, in certain situation, a balanced team can hardly be formed. For example , companies in Hong Kong are mostly the small-to-medium sized enterprises. The number of team-members is usually smaller than the required number for formula ting a balanced team. Also, as team members are required to travel often across borders, stable team can hardly be maintained. To resolve this problem, a different paradigm of team-role prevails here. Team -members autonomously supplant the roles of those missing members. We call this phenomenon the kinetic team role behavior. By using the methodology adopted from psychotherapy study, we propose a way to investigate this interesting and important characteristics of team-role.展开更多
Conducting a third-party assessment on targeted poverty alleviation can effectively avoid the disadvantage that local government plays as both athlete(i.e.performer of poverty alleviation work)and referee(i.e.referee ...Conducting a third-party assessment on targeted poverty alleviation can effectively avoid the disadvantage that local government plays as both athlete(i.e.performer of poverty alleviation work)and referee(i.e.referee for poverty alleviation effect)in poverty alleviation to ensure the truth of poverty alleviation,and therefore,it is an important part of the work to win the battle against poverty.Since 2016,the thirdparty assessment teams from colleges and universities for targeted poverty alleviation have achieved good results and performance in the assessment on both the effectiveness of targeted poverty alleviation work and the exit of poor counties in China,and they have made due contributions to the cause of poverty alleviation.However,as a new thing,third-party assessment obviously has some problems,mainly including the following:subjective understanding on the long-term nature of rural poverty alleviation is insufficient,and there is a lack of long-term considerations and related mechanism for third-party assessment;affected by policies and institutions,most of the existing third-party assessment teams from colleges and universities have not regarded third-party assessment of targeted poverty alleviation as a cause,and they lack the motivation to actively study the assessment business;and the third-party assessment staff from colleges and universities for targeted poverty alleviation have low stability and high mobility,not conducive to the long-term construction of assessment teams.In order to establish long-term poverty alleviation and prevention mechanisms,these issues must be addressed squarely and relevant countermeasures need to be taken actively to effectively build a long-term mechanism for building third-party assessment teams from colleges and universities for targeted poverty alleviation.展开更多
With the advancement of technology, companies are increasingly dependent on technology teams to stay competitive. However, members of these teams often work in stressful and unhealthy environments, which can undermine...With the advancement of technology, companies are increasingly dependent on technology teams to stay competitive. However, members of these teams often work in stressful and unhealthy environments, which can undermine their productivity and well-being. The humanization of the culture of technology teams is an approach that aims to create healthier and more productive work environments for team members, promoting balance between personal and professional life. Despite the importance of a healthy and productive work environment, many companies do not invest in strategies to humanize the culture of their technology teams. This can lead to high levels of stress, staff turnover and low productivity. The objective of this project is to identify effective strategies to humanize the culture of technology teams and create healthier and more productive work environments in digital companies. For this, factors such as management styles, psychological safety, human-centered development, individual beliefs and time and energy management will be analyzed. The project’s methodology will include a literature review on the subject and qualitative data analysis will be performed using a content analysis approach. This project will contribute to the advancement of knowledge about the humanization of the culture of technology teams in digital companies. The results can be applied to companies that want to create healthier and more productive work environments for their team members.展开更多
基金The Deanship of Scientific Research (DSR)at King Abdulaziz University (KAU),Jeddah,Saudi Arabia has funded this project,under grant no.KEP-4-120-42.
文摘The current advancement in cloud computing,Artificial Intelligence(AI),and the Internet of Things(IoT)transformed the traditional healthcare system into smart healthcare.Healthcare services could be enhanced by incorporating key techniques like AI and IoT.The convergence of AI and IoT provides distinct opportunities in the medical field.Fall is regarded as a primary cause of death or post-traumatic complication for the ageing population.Therefore,earlier detection of older person falls in smart homes is required to improve the survival rate of an individual or provide the necessary support.Lately,the emergence of IoT,AI,smartphones,wearables,and so on making it possible to design fall detection(FD)systems for smart home care.This article introduces a new Teamwork Optimization with Deep Learning based Fall Detection for IoT Enabled Smart Healthcare Systems(TWODLFDSHS).The TWODL-FDSHS technique’s goal is to detect fall events for a smart healthcare system.Initially,the presented TWODL-FDSHS technique exploits IoT devices for the data collection process.Next,the TWODLFDSHS technique applies the TWO with Capsule Network(CapsNet)model for feature extraction.At last,a deep random vector functional link network(DRVFLN)with an Adam optimizer is exploited for fall event detection.A wide range of simulations took place to exhibit the enhanced performance of the presentedTWODL-FDSHS technique.The experimental outcomes stated the enhancements of the TWODL-FDSHS method over other models with increased accuracy of 98.30%on the URFD dataset.
文摘Work-team has emerged as an important unit composi ng the organization today. The concepts relating to the properties of team-role t hat fit with today’s business environment have attracted much attention from the theorists and researchers. A team having a balanced composition of team-ro les is called a balanced team. Theoretically, a balanced team usually renders a better team performance. Therefore, to improve the performance of the team, mana gement needs to ensure that their work teams are composed of appropriate team me mbers with complementary skills, playing different roles, together forming a bal anced team. However, in certain situation, a balanced team can hardly be formed. For example , companies in Hong Kong are mostly the small-to-medium sized enterprises. The number of team-members is usually smaller than the required number for formula ting a balanced team. Also, as team members are required to travel often across borders, stable team can hardly be maintained. To resolve this problem, a different paradigm of team-role prevails here. Team -members autonomously supplant the roles of those missing members. We call this phenomenon the kinetic team role behavior. By using the methodology adopted from psychotherapy study, we propose a way to investigate this interesting and important characteristics of team-role.
基金Supported by Construction Project of Party Branch Secretary’s Studio of"Double Leader"Teachers in Colleges and Universities of the Ministry of Education of China(YCSD2019DJ003).
文摘Conducting a third-party assessment on targeted poverty alleviation can effectively avoid the disadvantage that local government plays as both athlete(i.e.performer of poverty alleviation work)and referee(i.e.referee for poverty alleviation effect)in poverty alleviation to ensure the truth of poverty alleviation,and therefore,it is an important part of the work to win the battle against poverty.Since 2016,the thirdparty assessment teams from colleges and universities for targeted poverty alleviation have achieved good results and performance in the assessment on both the effectiveness of targeted poverty alleviation work and the exit of poor counties in China,and they have made due contributions to the cause of poverty alleviation.However,as a new thing,third-party assessment obviously has some problems,mainly including the following:subjective understanding on the long-term nature of rural poverty alleviation is insufficient,and there is a lack of long-term considerations and related mechanism for third-party assessment;affected by policies and institutions,most of the existing third-party assessment teams from colleges and universities have not regarded third-party assessment of targeted poverty alleviation as a cause,and they lack the motivation to actively study the assessment business;and the third-party assessment staff from colleges and universities for targeted poverty alleviation have low stability and high mobility,not conducive to the long-term construction of assessment teams.In order to establish long-term poverty alleviation and prevention mechanisms,these issues must be addressed squarely and relevant countermeasures need to be taken actively to effectively build a long-term mechanism for building third-party assessment teams from colleges and universities for targeted poverty alleviation.
文摘With the advancement of technology, companies are increasingly dependent on technology teams to stay competitive. However, members of these teams often work in stressful and unhealthy environments, which can undermine their productivity and well-being. The humanization of the culture of technology teams is an approach that aims to create healthier and more productive work environments for team members, promoting balance between personal and professional life. Despite the importance of a healthy and productive work environment, many companies do not invest in strategies to humanize the culture of their technology teams. This can lead to high levels of stress, staff turnover and low productivity. The objective of this project is to identify effective strategies to humanize the culture of technology teams and create healthier and more productive work environments in digital companies. For this, factors such as management styles, psychological safety, human-centered development, individual beliefs and time and energy management will be analyzed. The project’s methodology will include a literature review on the subject and qualitative data analysis will be performed using a content analysis approach. This project will contribute to the advancement of knowledge about the humanization of the culture of technology teams in digital companies. The results can be applied to companies that want to create healthier and more productive work environments for their team members.
