高校研究生党建工作的创新性思考及实践研究

本文以现今高校研究生的特点为起点,分析了高校研究生党建工作中存在的主要问题及深层次原因,从而提出如何进一步创新高校研究生党建工作,并在有益尝试的基础上,提出几点建议。     

关于小高炮射击偏差观测方法之我见

小高炮射击偏差观测的提前时间观测时机法与传统的等距法,两者的观测时机虽不同,精度也不同,但从原理上讲,都是一种近似方法,不能说哪个原理上有问题,哪个原理上无问题。从部队现装备看,在部队日常训练打靶中,前者的观测时机更易于把握,作为现装备的一种革新,有研究必要。     

抗日军政大学华中分校对青年马克思主义者的思想政治教育

抗战时期,新四军创办的抗日军政大学华中分校吸引了大批青年,通过马克思主义理论的学习和实践教学来开展思想政治教育工作。学校采取了灵活多样的思想政治教育形式,培养了大批军政干部,使青年学生提高了马克思主义理论水平,培养了艰苦朴素的作风,坚定了革命意志。其教学方法对当今的思想政治工作仍然具有现实的借鉴意义。     

Appointment scheduling at a multidisciplinary outpatient clinic using stochastic programming

The purpose of this paper is to investigate the problem of constructing an appointment template for scheduling patients at a specific type of multidisciplinary outpatient clinic called an integrated practice unit (IPU). The focus is on developing and solving a stochastic optimization model for a back pain IPU in the face of random arrivals, an uncertain patient mix, and variable service times. The deterministic version of the problem is modeled as a mixed integer program with the objective of minimizing a weighted combination of clinic closing time (duration) and total patient waiting time (length of stay). A two‐stage stochastic program is then derived to account for the randomness and the sequential nature of the decisions. Although it was not possible to solve the two‐stage problem for even a limited number of scenarios, the wait‐and‐see (WS) problem was sufficiently tractable to provide a lower bound on the stochastic solution. The introduction of valid inequalities, limiting indices, and the use of special ordered sets helped to speed up the computations. A greedy heuristic was also developed to obtain solutions much more quickly. Out of practical considerations, it was necessary to develop appointment templates with time slots at fixed intervals, which are not available from the WS solution. The first to be derived was the expected value (EV) template that is used to find the expected value of the EV solution (EEV). This solution provides an upper bound on the objective function value of the two‐stage stochastic program. The average gap between the EEV and WS solutions was 18%. Results from extensive computational testing are presented for the EV template and for our adaptation of three other templates found in the literature. Depending on the relative importance of the two objective function metrics, the results demonstrate the trade‐off that exists between them. For the templates investigated, the “closing time” ranged from an average of 235 to 275 minutes for a 300‐minute session, while the corresponding “total patient time in clinic” ranged from 80 to 71 minutes.