网络风险与会计人员素质

网络会计是建立在网络环境基础上的会计信息系统。网络会计使企业财务会计突破了时空的界限 ,可以使企业实现低成本运营。在网络环境下 ,企业的会计信息既可能遭受来自企业外部的攻击 ,如网络黑客 ;也可能遭受到企业的内部人员通过采取地址欺骗、口令冒领、冒充主机等手段 ,对会计数据进行窃取、复制、使用或破坏。所有这一切 ,都对会计人员素质提出了更高的要求。

网络免费会议论文的采集研究

网络免费会议论文是传播研究成果、促进学术交流的重要信息资源,但是由于网络信息自身的分散无序性、快速消逝性,目前缺乏系统的方法对网络免费会议论文进行采集。文章从网络免费会议论文的传播模式入手,探讨了网络免费会议论文的采集原则,深入分析了网络免费会议论文的来源渠道,并针对不同的来源渠道设计了相应的采集模式。

基于XML的网络人才交流虚拟会所研究

在简述了ＸＭＬ技术的基础上，介绍了基于ＸＭＬ的网络人才交流虚拟会所（ＶＣＮＰＭ）的设计方案、开发技术及实现，最后给出了ＶＣＮＰＭ 的功能特点。

23城市思想政治工作网络会在洛阳召开

11月26日至28日，洛阳市政研会主持召开了“全国23城市思想政治工作网络会”第十八次会议。全国24个大中城市政研会会长、秘书长等167人参加了会议。全国政研会副秘书长、《思想政治工作研究》杂志总编辑杨文上、河南省委宣传部副部长级巡视员孙家礼。

社会组织参与困境儿童社会支持网络构建的服务策略研究--以广州市S组织困境儿童服务项目为例

要妥善回应深化改革过程中困境儿童多元化的需求,须从困境儿童社会支持着手,通过发挥社会组织联动多元主体的作用来筑实困境儿童社会支持网络。研究聚焦S组织困境儿童服务实践策略,分析其回应需求的服务过程,旨在为社会组织参与构建困境儿童支持网络提供实务参考。研究发现,S组织在开展困境儿童服务时能够充分发挥枢纽平台优势,在一定程度上促进了儿童主体发展和多元主体参与,但组织存在建设局限性、服务内容与形式创新不足、服务不够规范、机制缺失等方面的问题。推动儿童福利事业发展的关键在于要坚持政府主导的公共服务供给格局,拓宽社会参与渠道和门槛,整合跨界创新力量,动员多元主体在困境儿童服务中积极投入服务和资源,强化其社会支持网络。

网络舆论时代社会稳定风险评估工作的路向与优化

网络社会是一种新的社会形态,孕育着深刻的社会变革,也带来了新的不确定性。网络舆论在社会土壤中产生,它是社会风险因素预警、触发和扩大的重要媒介。网络舆论的聚集效应对风险治理的整体联动性程度要求提高。作为政治决策的前置条件,社会稳定风险评估孕育于地方风险治理的实践之中。面对网络舆论的丰富变化及其在风险诱发中的复杂影响,当前社会"稳评"工作各环节尚需进一步深层次优化以更加契合网络时代舆论的变化趋向。在对稳评工作研究进行总结梳理的基础上,重点阐述了网络舆论对社会稳评的影响,针对性地提出了"稳评"工作应完善的路径。

10分钟组建“网络视频同学会”

“喂,小柯,在北京过得怎样?好长时间没见面了,都快不知道你老兄长什么模样了?我们班准备在6月30号举行同学会,你到时候能不能抽出时间来聚一聚?……什么?只有一天的假,来不了?……”同学聚会在我的组织下,又一次宣告失败……哎!朋友们平时都太忙了,想找个时间见见面联络一下感情没想到难于上青天!咦?网络上不是有集体视频聊天的地方吗?要是用这个地方组织大家在异地网上同学会呢?那不是就省事与可行多了,说干就干!

南京河西新城公共设施网络研究

南京河西新城近年来发展迅速,2014年举办的第二届青奥会,更是为大量公共服务设施的建设提供了条件。本文通过社会网络分析、空间句法等手段,探究河西新城社交网络与公共服务设施网络的相关性。同时,以青奥会为时间节点,对公共服务设施网络的完善度进行对比分析,从而提出建议。

Web-based cognitive interventions on subjective cognitive impairment in cancer survivors:A systemic review

Objective:Cancer survivors have experienced subjective cognitive impairment(SCI)when they received cancer diagnoses or treatments.Their psychosocial and emotional statuses were also impacted.With the advancement of web technologies,web-based cognitive interventions have been implemented in the management and the alleviation of the SCI,the psychosocial distress,and the emotional distress in cancer survivors.This review aimed to summarize the intervention contents of web-based cognitive interventions for SCI,and to explore the effects of the interventions on SCI,psychosocial status,and emotional health.Methods:Six databases(CINAHL Plus,Cochrane Library,Embase,APA PsycInfo,PubMed and CNKI)were searched from the establishment of databases up to December 2023.Literature references were also manually searched for related articles.Results:This review contained 21 studies that covered the contents of web-based cognitive interventions,such as computer-assisted cognitive training,online cognitive rehabilitation,cognitive behavior therapy with the Internet,telehealth physical exercise,and web-based mindfulness interventions.The effects of web-based cognitive interventions positively impacted SCI for cancer survivors.Also,these interventions showed varying degrees of effectiveness in alleviating psychosocial and emotional distresses.Conclusion:By summarizingfive types of cognitive intervention contents delivered via web technology,this review demonstrated that web-based cognitive interventions optimized SCI and overall psychosocial and emotional statuses for the cancer survivors.It is recommended that future research focus on the development of customized web-based cognitive interventions for individuals with SCI,along with their psychosocial and emotional statuses.

Network analysis of the relationships between depressive symptoms and social participation activities among Chinese older adults and its implications for nursing

Objective:Network analysis was used to explore the complex inter-relationships between social participation activities and depressive symptoms among the Chinese older population,and the differences in network structures among different genders,age groups,and urban-rural residency would be compared.Methods:Based on the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey(CLHLS),12,043 people aged 65 to 105 were included.The 10-item Center for Epidemiologic Studies Depression(CESD)Scale was used to assess depressive symptoms and 10 types of social participation activities were collected,including housework,tai-chi,square dancing,visiting and interacting with friends,garden work,reading newspapers or books,raising domestic animals,playing cards or mahjong,watching TV or listening to radio,and organized social activities.R 4.2.1 software was used to estimate the network model and calculate strength and bridge strength.Results:21.60%(2,601/12,043)of the participants had depressive symptoms.The total social participation score was negatively associated with depressive symptoms after adjusting for sociodemographic factors.The network of social participation and depressive symptoms showed that“D9(Inability to get going)”and“S9(Watching TV and/or listening to the radio)”had the highest strength within depressive symptoms and social participation communities,respectively,and“S1(Housework)”,“S9(Watching TV and/or listening to the radio)”,and“D5(Hopelessness)”were the most prominent bridging nodes between the two communities.Most edges linking the two communities were negative.“S5(Graden work)-D5(Hopelessness)”and“S6(Reading newspapers/books)-D4(Everything was an effort)”were the top 2 strongest negative edges.Older females had significantly denser network structures than older males.Compared to older people aged 65e80,the age group 81e105 showed higher network global strength.Conclusions:This study provides novel insights into the complex relationships between social participation and depressive symptoms.Except for doing housework,other social participation activities were found to be protective for depression levels.Different nursing strategies should be taken to prevent and alleviate depressive symptoms for different genders and older people of different ages.

Effect of Technology Support for Social Network on Agricultural Technology Diffusion

[Objective] To analyze the key factor in agricultural technology diffusion- technology support, and to explore the method to quicken the diffusion of agricultural technology. [Method] The technology acquisition advantage of social network was il- lustrated by summarizing the status and characteristics of agricultural technology and technology supporting types in the process of agriculture technology diffusion. [Result] The multi-layer, complex, persistence, systematization features of agricultural technol- ogy require support and help of technology from surrounding social network to ulti- mately internalize the technology. [Conclusion] Using social networks for the technol- ogy support will be a powerful supplement to the system of agricultural technology diffusion.

Integrated logistics facilities network design for 3PLS under uncertainty

According to the operational characteristics of the logistics networks for the third party logistics supplier （3PLS）, the forward and reverse logistics networks together for 3PLS under the uncertain environment are designed. First, a fuzzy model is proposed by taking multiple customers, multiple commodities, capacitated facility location and integrated logistics facility layout into account. In the model, the fuzzy customer demands and transportation rates are illustrated by triangular fuzzy numbers. Secondly, the fuzzy model is converted into a crisp model by applying fuzzy chance constrained theory and possibility theory, and one hybrid genetic algorithm is designed for the crisp model. Finally, two different examples are designed to illustrate that the model and solution discussed are valid.

Heading toward Artificial Intelligence 2.0

With the popularization of the Intemet, permeation of sensor networks, emergence of big data, increase in size of the information community, and interlinking and fusion of data and information throughout human society, physical space, and cyberspace, the information environment related to the current development of artificial intelligence （AI） has profoundly changed. AI faces important adjustments, and scientific foundations are confronted with new breakthroughs, as AI enters a new stage： AI 2.0. This paper briefly reviews the 60-year developmental history of AI, analyzes the external environment promoting the formation of AI 2.0 along with changes in goals, and describes both the beginning of the technology and the core idea behind AI 2.0 development. Furthermore, based on combined social demands and the information environment that exists in relation to Chinese development, suggestions on the develoDment of Al 2.0 are given.

TCP performance evaluation over AODV and DSDV in RW and SN mobility models

This paper presents evaluation and comparison of the TCP performance in different mobile scenarios generated by Random Waypoint (RW) and Social Network (SN) mobility models. To our knowledge, TCP performance in SN mobility is discussed for the first time. The impact of AODV and DSDV routing protocols on the TCP goodput, delay and drop rate per- formance is also discussed. Extensive simulation results and analysis showed that TCP has better performance over AODV than over DSDV and has more stable performance in SN mobility than in RW mobility. We suggest using more mobility models, in particular, such as SN, in the evaluations of the transport layer or routing layer protocols because the mobility patterns have impacts on the protocol performance.

Evolution Characteristics of Government-Industry-University-Research Cooperative Innovation Network for China＇s Agriculture and Influ- encing Factors： Illustrated According to Agricultural Patent Case

Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the existing literature has paid little attention to it. Considering the cooperation patents, published in the agriculture field stemming from the Full-text Database of China Patents as the study object, the spatial and institutional attribute of the authors as the data source, and by combining the social network and spatial econometrics analysis, this paper analyzes the structure evolution characteristics of cooperative innovation networks of agricultural government-industry-university-research institute in the city level of China in 1985–2014, based on the triple helix theory, with the influence factors discussed. This shows that, 1) since 1985, China's agricultural innovation level has been substantially increased, but the development degree of the cooperative innovation network is low, and the patent cooperation mainly relies on authors in the same unit; 2) enterprises play a leading role in the agricultural cooperative innovation. The effect of the government and hybrid organizations driven by the government is not obvious; 3) the cooperative innovation in the province and city dominates, and a multi-pole pattern has been formed. The cooperative innovation network structure evolves from a single helix empty core and double helix multi core to a double helix hierarchical network; 4) the city's science, education funding and personnel investment are key factors determining the agricultural cooperative innovation, while the agricultural development of the city presents slight negative impacts on it. The spatial mismatch of supply and demand is present in the technical cooperative innovation of China's agriculture. Therefore, the science enhancement and education investment to big agricultural provinces should be promptly implemented.

Social-Aware Joint Mode Selection and Link Allocation for Device-to-Device Communication Underlaying Cellular Networks

Joint mode selection and link allocation are crucial to achieve the advantage of Device-to-Device(D2 D) communications in improving spectral efficiency. In practice, cellular users tend to not be totally altruistic or absolutely selfish. How to stimulate them to devote their links and how to allocate their links to D2 D pair candidates efficiently are two main challenges. In this paper, we encourage cellular users through the variable payment with regard to the social tie strength between cellular users and D2 D pair candidates. In particular, the social tie strength is inferred through a graph inference model and its impact on the payment is quantified as a negative exponential function. Then, we propose a resource scheduling optimization model based on the non-transferable utility coalition formation game, and a distributed coalition formation algorithm based on the Pareto preference and merge-and-split rule. From them, the final coalition structure is obtained, which reflects the strategy of mode selection and link allocation. Numerical results are presented to verify the effectiveness of our proposed scheme.

Smart Cities as Cyber-Physical Social Systems

The emerging prototype for a Smart City is one of an urban environment with a new generation of inno- vative services for transportation, energy distribution, healthcare, environmental monitoring, business, commerce, emergency response, and social activities. Enabling the technology for such a setting re- quires a viewpoint of Smart Cities as cyber-physical systems （CPSs） that include new software platforms and strict requirements for mobility, security, safety, privacy, and the processing of massive amounts of information. This paper identifies some key defining characteristics of a Smart City, discusses some lessons learned from viewing them as CPSs, and outlines some fundamental research issues that remain largely open.

Global optimization by small-world optimization algorithm based on social relationship network

A fast global convergence algorithm, small-world optimization (SWO), was designed to solve the global optimization problems, which was inspired from small-world theory and six degrees of separation principle in sociology. Firstly, the solution space was organized into a small-world network model based on social relationship network. Secondly, a simple search strategy was adopted to navigate into this network in order to realize the optimization. In SWO, the two operators for searching the short-range contacts and long-range contacts in small-world network were corresponding to the exploitation and exploration, which have been revealed as the common features in many intelligent algorithms. The proposed algorithm was validated via popular benchmark functions and engineering problems. And also the impacts of parameters were studied. The simulation results indicate that because of the small-world theory, it is suitable for heuristic methods to search targets efficiently in this constructed small-world network model. It is not easy for each test mail to fall into a local trap by shifting into two mapping spaces in order to accelerate the convergence speed. Compared with some classical algorithms, SWO is inherited with optimal features and outstanding in convergence speed. Thus, the algorithm can be considered as a good alternative to solve global optimization problems.

Exploiting Geo-Social Correlations to Improve Pairwise Ranking for Point-of-Interest Recommendation

Recently, as location-based social network(LBSN) rapidly grow, point-of-interest(POI) recommendation has become an important way to help people locate interesting places. Nowadays, there have been deep studies conducted on the geographical and social influence in the point-of-interest recommendation model based on the rating prediction. The fact is, however, relying solely on the rating fails to reflect the user's preferences very accurately, because the users are most concerned with the list of ranked point-of-interests(POIs) on the actual output of recommender systems. In this paper, we propose a co-pairwise ranking model called Geo-Social Bayesian Personalized Ranking model(GSBPR), which is based on the pairwise ranking with the exploiting geo-social correlations by incorporating the method of ranking learning into the process of POI recommendation. In this model, we develop a novel BPR pairwise ranking assumption by injecting users' geo-social preference. Based on this assumption, the POI recommendation model is reformulated by a three-level joint pairwise ranking model. And the experimental results based on real datasets show that the proposed method in this paper enjoys better recommendation performance compared to other state-of-the-art POI recommendation models.