无向简单图与无向连通图自动识别系统

近年来,图论越来越受到全世界数学界和其它科学界的广泛重视。图的理论及其在物理、化学、运筹学、计算机科学、电子学、信息论、控制论、网络理论、社会科学及经济管理等几乎所有学科领域中各方面的应用研究都迅速发展。无向图作为图论的重要组成部分,研究无向图的连通性问题具有很重要的意义。本文介绍了无向简单图与无向连通图自动识别系统的设计与实现过程。     

Discovering latent commercial networks from online financial news articles

Unlike most online social networks where explicit links among individual users are defined, the relations among commercial entities (e.g. firms) may not be explicitly declared in commercial Web sites. One main contribution of this article is the development of a novel computational model for the discovery of the latent relations among commercial entities from online financial news. More specifically, a CRF model which can exploit both structural and contextual features is applied to commercial entity recognition. In addition, a point-wise mutual information (PMI)-based unsupervised learning method is developed for commercial relation identification. To evaluate the effectiveness of the proposed computational methods, a prototype system called CoNet has been developed. Based on the financial news articles crawled from Google finance, the CoNet system achieves average F-scores of 0.681 and 0.754 in commercial entity recognition and commercial relation identification, respectively. Our experimental results confirm that the proposed shallow natural language processing methods are effective for the discovery of latent commercial networks from online financial news.     

企业财务风险的识别与防范

市场的快速变化与不可准确预见性,加大了企业的财务风险。作为企业的财务管理人员,应通过定量指标的计算和定性问题的分析,对企业经营状况和经济状况进行综合评价,以便及时对企业的财务风险进行识别和有效规避。     

创业板上市公司财务风险识别及应对研究

创业板上市公司在获得更加广阔融资平台的同时,也面临着巨大的财务风险,包括筹资风险、投资风险、资金回收风险和受益分配风险。应完善创业板上市公司的治理机制,及时采取相应的风险防范和风险应对措施,加强外部治理,完善监管环境。     

基于多源数据的自然生态空间分类体系构建及其识别

研究目的:探讨市县尺度下自然生态空间分类体系和多源数据下自然生态空间识别方法。研究方法:采用归纳比较法构建自然生态空间分类体系,通过综合分析法建立多分类体系转换机制,运用GIS空间分析法识别自然生态空间。研究结果:(1)市县级自然生态空间是指生产性空间和承载性空间以外,以发挥土地生态系统服务功能为主导,以提供生态产品为主,对维护区域生态系统稳定性,保障区域生态安全格局具有重要作用的用地空间;(2)自然生态空间可分为基础生态空间和人工生态空间两个一级类,10个二级类,26个三级类;(3)2015年鹤壁市自然生态空间总量606.08 km~2,其中基础生态空间554.41 km~2,人工生态空间51.67 km~2。研究结论:依据市县尺度自然生态空间分类体系,运用多源数据融合转换识别方法能快速准确识别自然生态空间数量和空间分布。     

用于船舶自动识别系统的机载阵列天线设计

为了满足船舶自动识别系统抗干扰性能的要求,设计了一种机载阵列天线。天线阵列由5个单极子天线单元组成,整体尺寸为Φ720 mm×306 mm,天线单元沿圆周均匀排列。通过泰勒分布和牛顿优化算法,优化阵列的辐射幅度及相位,得到实测的方位面增益-15 dB抑制范围达到128°,-20 dB抑制范围达到77°;装机后-15 dB抑制范围在114°以上,-20 dB抑制范围在51°以上。该阵列天线结构简单,成本低,满足机载环境的使用要求。     

淮河流域行蓄洪区运用的风险因素识别

淮河流域行蓄洪区作为防洪工程体系的重要组成部分,在减轻淮河沿岸大堤的洪水压力方面发挥着重要作用。行蓄洪区的运用会造成行蓄洪区内的经济损失、人员伤亡及环境污染等多种风险。行蓄洪区运用的风险是致灾因子的危险性、孕灾环境和承灾体易损性及御灾环境的脆弱性等共同作用的结果。从4个方面分析淮河流域行蓄洪区运用的风险因素,提出淮河蓄洪区运用的风险防范对策。     

How perceived empowerment HR practices influence work engagement in social enterprises – a moderated mediation model

Abstract

Drawing insights from the group engagement model and self-determination theory, our research explored the role of perceived empowerment human resource (HR) practices in the hybrid organizational form of social enterprise in China. Based on two studies, this paper developed and examined a moderated mediation model, linking perceived empowerment HR practices, identification motivation, work engagement, and authority work value. Specifically, in Study 1 we found perceived empowerment HR practices increased employees’ work engagement through enhancing employees’ identification motivation. In Study 2, we adopted a two-wave design to duplicate and extend this mediation model. A moderator, employees’ authority work value, was found to weaken both the mediation relationship, and the positive relationship between perceived empowerment HR practices and identification motivation. This study broadens the understanding of what social enterprises look like in alternative contexts, while providing an opportunity to explore how a HRM mechanism and its boundary condition function in large social enterprises in China.     

基于模态应变能密度理论的网架结构损伤识别方法

为了研究网架结构的损伤检测方法,根据应变能密度理论,提出采用单元模态应变能密度差值作为网架结构损伤识别指标的方法,以损伤单元模态应变能密度差值的大小初步确定单元的损伤程度。分析了5种具有代表性的损伤工况,并在数值计算结果中引入了白噪声。结果显示,在一阶模态下,针对单损伤、多损伤和轻微损伤、严重损伤等不同损伤工况,损伤杆件的模态应变能密度差值均为高值。因此,该方法可以有效识别出网架结构的损伤位置,根据损伤单元的模态应变能密度差值大小初步确定单元的损伤程度,且在一定的噪声水平下具有较强的鲁棒性,对网架结构损伤识别具有参考价值。     

Achieving relational outcomes in casual dining restaurants through consumer commitment

The purpose of the study is to identify how we can achieve positive word-of-mouth (WOM) and share of purchases through consumer commitment in casual dining restaurants. This study proposes the theory of organizational commitment and the framework of the relationship development process as the theoretical foundation to identify the antecedents of consumer commitment (i.e. identification, switching costs, and satisfaction), and tests the role of consumer commitment between its antecedents and relational outcomes (i.e. share of purchases and positive WOM). The results of the study support that commitment plays a partial mediating role in the relationship between its antecedents and share of purchases. In addition, commitment exerts a full mediating role on the effects of identification and switching costs on positive WOM intentions, while it plays a partial mediating role between satisfaction and positive WOM intentions. Managerial implications are discussed to maximize delivering relational outcomes based on consumer commitment and its antecedents.