以一流专业"双万计划"为契机,加强基层教学组织内涵建设——以安徽理工大学为例

高校基层教学组织是高校教学管理体系的重要组成部分和加强内涵建设的重要方面,在"双一流"和"双万计划"建设背景下,其工作成效对于加快学校高质量发展具有基础性乃至决定性作用.认清基层教学组织工作开展中存在的问题并采取措施加以解决,通过规范教学活动、深化教研室管理、加强教学改革、提升基层教学组织活力,将基层教学组织建设成为教学研究和教学管理的中心,这对促进基层教学组织内涵建设和提高学校人才培养质量具有重要的作用.     

论王国维的“本色”观——基于王国维对元曲的评价

王国维用“意境”“境界”等概念建构起自己的美学体系。他认为作为抒情文学的词作必须有作者的真情实感蕴藏于内，“真情”是“境界”说的重要组成部分。出于对“真情”的看重，王国维着力于对元剧的研究，从戏剧艺术的角度，他对元剧十分鄙视，但从文辞的角度，他对元剧十分欣赏。王国维称元曲为“活文学”，与元曲作者蕴于其中的“真情”有莫大关系。王国维对元曲的研究基本延续了治词的角度和观点，论曲仍以“真情”为首要标准。不同之处在于，“当行”也是他的“本色”观的组成部分，是其“本色”观比“意境”说在理论范围上更为广阔之处。相比较而言，吴梅的“本色”观亦注重“真情”，对作品的评论，他更多的是从排场角度分析、评价作品。对作品的用字，吴梅亦崇尚自然，同时又有所保留。     

从龙母传说看西江文化

龙母文化是西江古民俗文化核心部分。本文阐述了龙母文化及其历史背景,并对西江乃至整个岭南地区发生了巨大的文化福射作用,产生了深远的影响。     

安徽省县级公立医院住院患者满意度对忠诚度影响分析

目的：了解县级公立医院住院患者满意度及忠诚度情况,分析满意度对忠诚度的影响。方法：采取随机分层抽样方法,根据地域分布,在安徽省皖南、皖中、皖北共随机抽取12家县级公立医院,采用自行设计的调查问卷对696例住院患者的一般人口学资料、满意度和忠诚度等情况进行调查。结果：696例住院患者总体满意度得分为(4.39±0.74)分,忠诚度得分为(8.71±1.35)分;医护人员形象、医疗服务态度、医疗质量、医疗设施环境方面的满意度影响住院患者的忠诚度。结论：县级公立医院住院患者忠诚度水平较高;医院可从树立医护人员良好形象、提高医疗质量等角度,提高住院患者满意度,培养其忠诚度。     

姜氏之戎与宝鸡

西方的羌族,包括从羌族中分化出来的姜姓氏族起源于西北,族源上与三苗无关;而三苗迁往西北的一支后世称为犬戎、允姓之戎、猃狁、阴戎,即后世的氐族,其文化遗存是寺洼文化.陇县发现的齐家文化中晚期的川口河类型遗存,是姜姓四岳氏族的文化遗存,从而把宝鸡市与炎帝的关系追溯到尧舜禹时期.正因为这种原因,所以四岳氏族的后裔姜氏之戎商代早期才能兴起于宝鸡市区.     

OFDP: a distributed algorithm for finding disjoint paths with minimum total length in wireless sensor networks

This paper investigates the MINimum-length-\(k\)-Disjoint-Paths (MIN-\(k\)-DP) problem: in a sensor network, given two nodes \(s\) and \(t\), a positive integer \(k\), finding \(k\) (node) disjoint paths connecting \(s\) and \(t\) with minimum total length. An efficient distributed algorithm named Optimally-Finding-Disjoint-Paths (OFDP) is proposed for this problem. OFDP guarantees correctness and optimality, i.e., (1) it will find \(k\) disjoint paths if there exist \(k\) disjoint paths in the network or the maximum number of disjoint paths otherwise; (2) the disjoint paths it outputs do have minimum total length. To the best of our knowledge, OFDP is the first distributed algorithm that can solve the MIN-\(k\)-DP problem with correctness and optimality guarantee. Compared with the existing centralized algorithms which also guarantee correctness and optimality, OFDP is shown to be much more efficient by simulation results.     

A reinforcement-learning approach for admission control in distributed network service systems

In the distributed network service systems such as streaming-media systems and resource-sharing systems with multiple service nodes, admission control (AC) technology is an essential way to enhance performance. Model-based optimization approaches are good ways to be applied to analyze and solve the optimal AC policy. However, due to “the curse of dimensionality”, computing such policy for practical systems is a rather difficult task. In this paper, we consider a general model of the distributed network service systems, and address the problem of designing an optimal AC policy. An analytical model is presented for the system with fixed parameters based on semi-Markov decision process (SMDP). We design an event-driven AC policy, and the stationary randomized policy is taken as the policy structure. To solve the SMDP, both the state aggregation approach and the reinforcement-learning (RL) method with online policy optimization algorithm are applied. Then, we extend the problem by considering the system with time-varying parameters, where the arrival rates of requests at each service node may change over time. In view of this situation, an AC policy switching mechanism is presented. This mechanism allows the system to decide whether to adjust its AC policy according to the policy switching rule. And in order to maximize the gain of system, that is, to obtain the optimal AC policy switching rule, another RL-based algorithm is applied. To assess the effectiveness of SMDP-based AC policy and policy switching mechanism for the system, numerical experiments are presented. We compare the performance of optimal policies obtained by the solutions of proposed methods with other classical AC policies. The simulation results illustrate that higher performance and computational efficiency could be achieved by using the SMDP model and RL-based algorithms proposed in this paper.     

江西入境旅游市场现状及发展对策

入境旅游在国际旅游中占有很重要的位置,入境旅游的人数以及外汇收入是衡量一个国家和地区旅游实力的重要指标。本文通过对江西入境旅游市场现状的分析,对其入境旅游的发展对策进行了探讨。     

回归模型中异性方差问题的克服

提出了回归分析中异性方差的检验和对估计结果带来的影响以及消除其异方差性的两种方法：对原模型进行变换和加权最小二乘法．     

公元11世纪后的气候变冷对宋以后经济发展的动态影响

公元11世纪后我国气候显著变冷,由此发生了农业生产、土壤、植被的显著恶化,游牧民族与汉族力量对比的适应性变化,中国人口和经济重心的适应性南移,以及在此基础上对中国传统政府统治模式所造成的巨大挑战。理解这一气候变化及其经济动态影响,乃是理解11世纪后两宋时期经济发展和政府治理出现新气象的重要理论前提和基础;对研究当代气候变暖具有一定现实意义。