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.     

宋琪与宋太宗朝政治散论

宋琪成名于契丹,长期幽沉于幕府,但却在宋太宗时期飞速窜升至宰相,这与北宋初期独特的政治生态密切相关。影响宋琪政治前程的主要因素有:北宋前期河北集团的存在、太宗时期晋邸集团的存在以及宋琪本人不凡的才能。不过,宋琪的政治主张和作为与宋太宗的希冀并不相得,这也决定了他的政治命运。宋太宗朝基本结束了五代以来的变态政治,皇帝自立时代终结,官僚亦从五代型过渡到了宋代型。     

论法律效果与社会效果的统一——以贯彻宽严相济刑事政策为中心

宽严相济刑事政策与现行刑事法律规范具有内在的一致性,亦同样以积极追求法律效果与社会效果的有机统一为旨趣。切实贯彻宽严相济刑事政策,必须在确保良好法律效果的基础上,争取更好的社会效果,并努力寻求两者的有机契合。法官应娴熟驾驭各种制度内资源,巧妙游刃于规则与事实之间,竭力在规则和制度的约束下达致平衡之美。     

Exploring the roles of government involvement and institutional environments in the internationalization of Chinese Internet companies

The interactions between government, institutions, and Internet companies have gained attention in the research on the globalization of China’s Internet. However, few studies have been conducted at the company level, and the knowledge about the roles of government and institutions remains limited. Drawing on institutional theory, this empirical study explored the roles and mechanisms of government involvement and the institutional environment in the internationalization of Chinese Internet companies. The results indicated that government involvement could improve these companies’ degree of international breadth through both state ownership and governmental affiliation. However, the results showed that state ownership had a restraining function on their degree of international depth. In the context of institutional transition in China, these effects could vary according to whether Internet companies operate in good or poor institutional environments. By revealing these relationships, this study contributes to both the theoretical and the empirical understanding of governmental influence and institutional roots in the globalization of China’s Internet.     

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。     

元代马薛里吉思家族与回回医药文化

本文以元代撒马尔干籍也里可温马薛里吉思家族为中心,考察其嫁接希腊医学和阿拉伯医学文化的重要作用及在中国传播回回医药文化的贡献,以家族个案佐证中古景教方伎化的华化特点。     

天津地铁一号线与常规公交接驳方式改善研究

近年来,中国各大城市均处于轨道交通建设快速发展时期,天津轨道交通建设也在如火如荼地进行中,目前市内运行的线路有地铁一号线和连接中心城区与滨海新区的津滨轻轨。然而地铁一号线及津滨轻轨运行以来,客流量均不理想,轨道交通与地面公交接驳不顺畅是其主要原因。轨道交通虽然是城市交通的骨架系统,但也只是城市交通方式中的一种,良好的城市公共交通系统需要由轨道交通、地面常规公交及其他交通运输方式共同协作构成。     

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.     

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.