Teamwork Optimization with Deep Learning Based Fall Detection for IoT-Enabled Smart Healthcare System

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.

The Kinematic Team Role Behavior in Work Team

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.

The ability of modern secretary

Modern secretaries need to master a lot of oldand new skills including some required skills and some modernabilities.And secretaries in modern offices also have to mastersome special skills to be supportive to their bosses.

Enhanced Recovery After Surgery and the ERAS® Society

This is a short review of the development of Enhanced Recovery After Surgery and the role that the ERAS® Society has played.It covers the history in short,the guideline work from the society and implementation of the guidelines,as well as the philosophy and physiology behind ERAS and finally also some ideas around the future and the development of research collaboration.