A global disparity exists between the burden of mental ill-health and the resources available to address this issue.Common mental disorders,such as mild-to-moderate depression,anxiety disorders and post-traumatic stre...A global disparity exists between the burden of mental ill-health and the resources available to address this issue.Common mental disorders,such as mild-to-moderate depression,anxiety disorders and post-traumatic stress disorder,are associated with a significant decline in health and functioning and contribute significantly to the overall burden of disease.In view of a shortage of mental health professionals in most low-and middle-income countries,task sharing(task shifting)can make an important contribution to improving access to mental health services.Task sharing involves non-specialists in the delivery of health care.The use of lay health workers is premised on the assumption that the shorter training required for non professionals will allow an increase in the provision of required care without the need for an increase in resources and will strengthen and scale-up sustainable health systems.The need for low-tech support in the management of conunon mental disorders is widespread,and the core resource is humans trained to identify and treat those requiring mental health care.There is a strong evidence base for the effectiveness of task sharing in psychotherapy,and talk therapies,e.g.cognitive behavioral therapy,can easily be delegated to non-specialists,including non-specialist health workers,peer helpers and lay people.A(cost-)effective model of mental health care in low-resource settings as well as in high-income countries may include the medical school-based training of some psychiatrists and clinical psychologists in the treatment of referred patients with serious mental illness.These professional mental health specialists would also be trainers and supervisors of non-specialist health workers who would identify common mental health disorders and provide psychotherapy to people with these conditions in a community-based setting.Community-based generalism including task sharing rather than centralized specialism may be capable of preventing and treating many common mental disorders with minor financial expenditure.展开更多
A scheduling algorithm is presented aiming at the task scheduling problem in the phased array radar. Rather than assuming the scheduling interval(SI) time, which is the update interval of the radar invoking the schedu...A scheduling algorithm is presented aiming at the task scheduling problem in the phased array radar. Rather than assuming the scheduling interval(SI) time, which is the update interval of the radar invoking the scheduling algorithm, to be a fixed value,it is modeled as a fuzzy set to improve the scheduling flexibility.The scheduling algorithm exploits the fuzzy set model in order to intelligently adjust the SI time. The idle time in other SIs is provided for SIs which will be overload. Thereby more request tasks can be accommodated. The simulation results show that the proposed algorithm improves the successful scheduling ratio by 16%,the threat ratio of execution by 16% and the time utilization ratio by 15% compared with the highest task mode priority first(HPF)algorithm.展开更多
This paper examines task partition problem in a Multiagent based Distributed Open Computing Environment Model(MDOCEM). We first present a formal method to describe the task partition problem, then give a heuristic al...This paper examines task partition problem in a Multiagent based Distributed Open Computing Environment Model(MDOCEM). We first present a formal method to describe the task partition problem, then give a heuristic algorithm to solve the task partition problem that gives an approximate optimum solution.展开更多
文摘A global disparity exists between the burden of mental ill-health and the resources available to address this issue.Common mental disorders,such as mild-to-moderate depression,anxiety disorders and post-traumatic stress disorder,are associated with a significant decline in health and functioning and contribute significantly to the overall burden of disease.In view of a shortage of mental health professionals in most low-and middle-income countries,task sharing(task shifting)can make an important contribution to improving access to mental health services.Task sharing involves non-specialists in the delivery of health care.The use of lay health workers is premised on the assumption that the shorter training required for non professionals will allow an increase in the provision of required care without the need for an increase in resources and will strengthen and scale-up sustainable health systems.The need for low-tech support in the management of conunon mental disorders is widespread,and the core resource is humans trained to identify and treat those requiring mental health care.There is a strong evidence base for the effectiveness of task sharing in psychotherapy,and talk therapies,e.g.cognitive behavioral therapy,can easily be delegated to non-specialists,including non-specialist health workers,peer helpers and lay people.A(cost-)effective model of mental health care in low-resource settings as well as in high-income countries may include the medical school-based training of some psychiatrists and clinical psychologists in the treatment of referred patients with serious mental illness.These professional mental health specialists would also be trainers and supervisors of non-specialist health workers who would identify common mental health disorders and provide psychotherapy to people with these conditions in a community-based setting.Community-based generalism including task sharing rather than centralized specialism may be capable of preventing and treating many common mental disorders with minor financial expenditure.
基金supported by the National Youth Foundation(61503408)
文摘A scheduling algorithm is presented aiming at the task scheduling problem in the phased array radar. Rather than assuming the scheduling interval(SI) time, which is the update interval of the radar invoking the scheduling algorithm, to be a fixed value,it is modeled as a fuzzy set to improve the scheduling flexibility.The scheduling algorithm exploits the fuzzy set model in order to intelligently adjust the SI time. The idle time in other SIs is provided for SIs which will be overload. Thereby more request tasks can be accommodated. The simulation results show that the proposed algorithm improves the successful scheduling ratio by 16%,the threat ratio of execution by 16% and the time utilization ratio by 15% compared with the highest task mode priority first(HPF)algorithm.
文摘This paper examines task partition problem in a Multiagent based Distributed Open Computing Environment Model(MDOCEM). We first present a formal method to describe the task partition problem, then give a heuristic algorithm to solve the task partition problem that gives an approximate optimum solution.
