No abstract

This paper studies the Ethernet Passive Optical Network (EPON) with gated-limited service. The transmission window (TW) is limited in this system to guaranteeing a bounded delay experienced by disciplined users, and to constrain malicious users from monopolizing the transmission channel. Thus, selecting an appropriate TW size is critical to the performance of EPON with gated-limited service discipline. To investigate the impact of TW size on packet delay, we derive a generalized mean waiting time formula for M/G/1 queue with vacation times and gated-limited service discipline. A distinguished feature of this model is that there are two queues in the buffer of each optical network unit (ONU): one queue is inside the gate and the other one is outside the gate. Furthermore, based on the Chernoff bound of queue length, we provide a simple rule to determine an optimum TW size for gated-limited service EPONs. Analytic results reported in this paper are all verified by simulations.Index Terms-Ethernet Passive Optical Network (EPON), Gated-Limited Service, M/G/1.

No abstract

Background: Medical Union is a novel model of integrated care services. At present, the Chinese government encourages the development of health care services for aged people provided by Medical Union which may help make effective use of limited medical resources in China. Purpose: This study aims at examining the prevalence of and associated factors affecting the acceptance of a novel integrated care service by community-dwelling elderly. Methods: We extracted raw data generated from 1,180 community residents over 60 years old and performed binary logistic regression analyses to predict odds of the acceptance in Chongqing, China. Using Anderson’s health behavioral model, we examined three groups of predictive factors: (1) predisposing factors (e.g. social demographic information), (2) enabling factors (e.g. health insurance status), (3) need factors (e.g. health status). Results: The application of this novel integrated care service was explained better by enabling factors than other predictive factors. In the best explanatory model (model 3), one predisposing factor (degree of education), one enabling factor (insurance type), and five need factors (self-reported health status, hypertension, diabetes, dyslipidemia, and disability) were variables considered as the significant factors affecting the acceptance of the novel integrated care service by community-dwelling elderly in Chongqing, china. Conclusion: This study provides an empirical understanding of the equity of the access to a novel integrated care service for older adults who live in communities. Our findings advocate that primary health institutions should play an important role in health education. Advanced policies are needed to protect physically and economically vulnerable groups.