How Chinese Financial Centers Integrate into Global Financial Center Networks:An Empirical Study Based on Overseas Expansion of Chinese Financial Service Firms

The increasing globalization of the Chinese economy has been enabled by both Chinese financial institutions operating globally as well as international firms operating within China. In geographical terms, this has been organized through a number of strategic cities serving as gateways for the exchange of financial functions, products and practices between China and the global economy. Drawing on location data of financial service firms in China listed on stock exchanges in Shenzhen, Shanghai and Hong Kong, this paper shows that Chinese financial firms are expanding globally and how Chinese financial centers are positioned and connected in the urban networks shaped by these financial service firms. It is found that Hong Kong, China, holds strategic positions in the integration of Chinese cities into global financial center networks, and that establishing a foothold in global financial centers such as New York and London has been a priority for Chinese financial institutions. The increasing capital flows directed by Chinese financial institutionssuggests a shifting global financial geography, with numerous Chinese cities playing increasingly important roles within global financial center networks.

Research on the One-Stop Information Service Model for University Library

Following the advent of and continuous progress of technology,computer network and information management have gradually being incorporated into the daily operation and management of university libraries all around the world.The service system of university libraries has also transformed from the conventional reference consulting model into a knowledge-based service model.This transformation has improved the professionalism and individualism of university libraries.Therefore,establishing a competent one-stop information service model has significant and important values.In this work,we analyzed the basic functionalities and the feasibility of one-stop information service model for university libraries.We also discussed in details the construction methodology for different modes,for reference only.

Analysis of Inpatient Bed Allocation Equity and Utilization in the City Community Health Service Center of China

The objective of this study was to examine the inpatient bed （IB） allocation equity and utilization in Chinese city commtmity health service centers （CHSCs）. The data were derived from the Baseline Survey of National City Community Health Service System Building Project, which was conducted in 1917 CHSCs in 28 cities in 2007. The IB allocation was analyzed in terms oflB alloca- tion quantity and distribution equity, and the IB utilization was analyzed by the IB utilization rate and average length of stay of the CHSC inpatients. The results showed that 49.3% of the CHSCs were equipped with IB; averagely, there were 45 IBs per CHSC, 0.94 IBs per 1000 people, and 0.38 nurses and 0.57 doctors per IB; the IB Gini coefficient was 0.32; the IB utilization rate was 40.06%; and the average length of stay of inpatients was 12.24 days. The conclusions were that IB allocation among the population was equitable, but the number of nurse per IB was not up to the national standard; and the CHSC IB utilization was low as a whole, thus inpatient service was not the main health service for Chinese CHSCs.

The Impact of Lean Six Sigma Practices on Physiotherapy Services Quality at UNRWA Healthcare Centers, Gaza Strip, Palestine

Integrating Lean and Six Sigma found a powerful business tool for the strategy improvement process and saving time is produced. The main aim of this study is to identify the impact of Lean Six Sigma (LSS) practices on physiotherapy service quality at healthcare centers of the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), using a descriptive-analytical approach. Data were collected using a questionnaire distributed among 49 physiotherapists working at UNRWA healthcare centers as a census sampling method between July 2016 and August 2017, following the stratified random sampling method. The Statistical Package for Social Science (SPSS) was used to analyze the collected data. The results revealed that there was a statistically significant relationship between Lean Six Sigma (LSS) dimensions and the quality of healthcare services provided in physiotherapy units at the UNRWA healthcare centers. Moreover, the application of Lean Six Sigma dimensions was adopted at 81% of UNRWA healthcare centers. Moreover, the percentage of patients’ satisfaction regarding the quality of healthcare services provided in physiotherapy units was 89%. The study emphasized the effectiveness of Lean Six Sigma dimensions application on the quality healthcare services provided in physiotherapy units at the UNRWA healthcare centers. Furthermore, employee training and reward according to a needs assessment to implement Lean Six Sigma successfully is highly recommended.

Model Farm Services Center Approach: An Implication to Boost Farmer’s Yield

The instant study was conducted to estimate the Model Farm Services Center’s (MFSC) contribution in yield improvement of major crops/vegetables in district Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan, during the year 2014-15. Based on Sekaran sampling technique 306 respondents were selected and were personally interviewed through well prepared and pre-tested interview schedule. To find out the actual performance of yield improvement by Model Farm Services Center along with other repressors, step by step analysis was performed. The results of Wilcoxon Sign Rank Test showed significant improvement in yield of sugarcane, wheat, maize, rice and tomato by Model Farm Services Center. Pearson’s correlation coefficient showed highly significant positive relation of sugarcane and wheat yield difference before and after Model Farm Services Center registration with MFSC. Ordinary Least Square Multiple-Regression Model indicates that MFSC registration duration and landholding significantly define the variation in dependent variables at 1% and 5% level of significance respectively for sugarcane yield. Whereas solely Model Farm Services Center registration duration profoundly highly significantly (P ≤ 0.01) explains the variation in dependent variables in wheat yield.

Data Center Traffic Scheduling Strategy for Minimization Congestion and Quality of Service Guaranteeing

According to Cisco’s Internet Report 2020 white paper,there will be 29.3 billion connected devices worldwide by 2023,up from 18.4 billion in 2018.5G connections will generate nearly three times more traffic than 4G connections.While bringing a boom to the network,it also presents unprecedented challenges in terms of flow forwarding decisions.The path assignment mechanism used in traditional traffic schedulingmethods tends to cause local network congestion caused by the concentration of elephant flows,resulting in unbalanced network load and degraded quality of service.Using the centralized control of software-defined networks,this study proposes a data center traffic scheduling strategy for minimization congestion and quality of service guaranteeing(MCQG).The ideal transmission path is selected for data flows while considering the network congestion rate and quality of service.Different traffic scheduling strategies are used according to the characteristics of different service types in data centers.Reroute scheduling for elephant flows that tend to cause local congestion.The path evaluation function is formed by the maximum link utilization on the path,the number of elephant flows and the time delay,and the fast merit-seeking capability of the sparrow search algorithm is used to find the path with the lowest actual link overhead as the rerouting path for the elephant flows.It is used to reduce the possibility of local network congestion occurrence.Equal cost multi-path(ECMP)protocols with faster response time are used to schedulemouse flows with shorter duration.Used to guarantee the quality of service of the network.To achieve isolated transmission of various types of data streams.The experimental results show that the proposed strategy has higher throughput,better network load balancing,and better robustness compared to ECMP under different traffic models.In addition,because it can fully utilize the resources in the network,MCQG also outperforms another traffic scheduling strategy that does rerouting for elephant flows(namely Hedera).Compared withECMPandHedera,MCQGimproves average throughput by 11.73%and 4.29%,and normalized total throughput by 6.74%and 2.64%,respectively;MCQG improves link utilization by 23.25%and 15.07%;in addition,the average round-trip delay and packet loss rate fluctuate significantly less than the two compared strategies.

Quality-Oriented Climate and Service Quality Among Healthcare Providers： Evidence From a Rehabilitation Center in Italy

The importance of quality in service provision is widely recognized in health service research. However, a limited number of studies have investigated antecedents of quality in healthcare service provision. This article tries to shed further light on this under-researched field. Specifically, the aim of this study is to verify the relationship between the quality-oriented climate and service quality as perceived by employees. The study was conducted in a private non-profit Rehabilitation Centre in Italy using a questionnaire administered to all healthcare workers. The questions focused on perceptions of quality-oriented climate （priorization of quality care, social cooperation, and exchange）, four different connotations of the quality in healthcare provision （provision of high quality service, adequacy of time spent with patients, freedom in clinical decisions, and continuing relationships with patients）, as well as on respondents＇ background. Of the 248 healthcare workers, 183 completed the questionnaire. Hierarchical regression analysis was used to study the relationship between quality-oriented climate and outcome variables （quality in healthcare provision）. The results suggest that a quality-oriented climate does explain service quality in Healthcare settings： When an organization has implemented a quality-oriented climate, the service care provided by healtheare workers can determine an increase for three of the four investigated aspects of quality service provision （quality of care, freedom to make clinical decisions to meet patients＇ needs, and continuing relationships with patients）. The paper demonstrates that the offer of quality services involves in a different way the various healthcare professionals and/or management staff. This research provides interesting findings for healthcare manager in Health Service settings regarding the management of a quality-oriented process of service provision.

Solution of ZXWDSS MME Multimedia Mail Service Center

Starting with the applications of mobile multimedia email(MME) and multimedia message services,this paper elaborates on the net- working solutions,system components and system features of the ZXWDSS MME.Its desirable performance indices,system expand- ability and openness are beneficial for mobile telecom operators looking to make new profits.

Empirical Research on the City Financial Service Satisfaction in Emerging Economies Financial Centers

A secondary indexes system is constructed by using the SERVQUAL model of the service satisfaction measurement and combining the basic principles of financial service as well as its ＂tolerance zones＂ . All kinds of financial service satisfaction indexes are analyzed and tested empirically in Shanghai and other major emerging financial centers, and it is concluded that emerging financial centers are in a disadvantage position of the financial service level as a whole in comparison with the mature international financial centers, while Shanghai is demanded to make an improvement in the credibility of financial services and the professional knowledge reserve of service personnel in comparison with other emerging financial centers.

基于REST Web Services的分布式遥感数据检索技术研究

为了更好地解决分布式遥感数据检索的问题,提出了基于REST Web Services的分布式检索实现方法。根据分布式数据检索的需求和遥感数据检索系统的特点,研究了分布式数据检索的实现技术、REST的基本概念、目标与设计原则、主要思想以及实现方式,在此基本上设计了基于REST Web Services分布式遥感数据检索原型系统,并实现了基于REST Web Services分布式遥感数据检索原型系统。

Web Services技术在虚拟企业中的应用研究

随着信息技术的发展,构建动态虚拟企业已成为一种趋势。由于Web服务技术具有良好的封装性、松散的耦合、高度可集成能力且是跨平台的和开放的,这些特性满足了构建虚拟企业的要求,因此必将成为虚拟企业今后发展的方向。提出了使用Web服务技术构建虚拟企业的设计模型,然后通过实例探讨虚拟企业业务的实现过程,最后分析虚拟企业的生命周期和该技术的优越性。

基于Web Service的虚拟研究中心KMS构建

针对虚拟研究中心知识管理敏捷化、柔性化和分布式的需求特性,结合WebService技术搭建了虚拟研究中心知识管理系统网络体系架构,提出一种基于WebService的虚拟研究中心知识管理系统模型。依据模型框架,构建雅砻江水电开发虚拟研究中心知识管理系统。研究表明,依据模型构建的虚拟研究中心知识管理系统能有效地实现基于Web的知识共享、交流和创新,模型具有较好的可靠性和可行性。

基于Web Services的协同设计服务管理中心功能设计

分析了协同设计中设计服务软件管理的相关技术和特点,对协同设计注册管理中心的需求进行了分析.并在此基础上进行了协同设计服务管理中心功能设计,并在Web Services架构的基础上实现了可靠性高、成本低的协同设计服务管理中心.

基于Web Services的异构系统资源整合的设计

论文针对校园异构系统之间的资源共享需求,提出利用Web Services技术来实现资源整合的设计方案,并详细描述了实现的关键技术。

基于Web Services和插件架构的新闻中心平台的设计

设计并实现了一个网页插件形式的半自动化的网页新闻信息搜集中间件,该中间件能将关注网站的信息搜集并集中。此外,基于该中间件,还设计了一个新闻信息的汇集平台,并以江苏城市职业学院网站作为应用实例展示了校园新闻中心。

Web Service在呼叫中心系统中的应用

随着计算机技术的普及及软硬件价格的走低,呼叫中心已经从一些由高端贵族企业转向平民化应用,呼叫中心已经开始走向普及,随着客户量的不断增加、数据处理的复杂度不断提高、业务日渐复杂等挑战的产生,呼叫中心对网络技术的要求也越来越高。Web Service具有的平台独立、低耦合等优点,使其成为呼叫中心系统开发中的重要应用技术。本文阐述了呼叫中心系统的系统架构、功能设计、Web Service在系统中的应用及使用的关键技术,在仔细分析用户需求的基础上,设计了呼叫中心系统中Web Service的应用方案。

Windows和ExchangeH最新Service Pack介绍及其它

了解最新的Windows Service Pack中会包含哪些功能。Exchange Server 2010 SP1又有什么内容，以及System Center Essentials将会给中型企业带来哪些好处。

基于“服务型”物流战略的p-Center选址问题研究

介绍了物流战略和图中心的概念 ,针对“服务型”物流战略 ,将大规模配送网络的多配送中心选址问题抽象为求解图的多中心 (p Center)问题 ,并证明了无论是顶点p Center问题还是绝对p Center问题均存在近似度为 2的顶点解。最后 ,基于此定理 ,给出了选址问题的一个多项式 2

FP-STE: A Novel Node Failure Prediction Method Based on Spatio-Temporal Feature Extraction in Data Centers

The development of cloud computing and virtualization technology has brought great challenges to the reliability of data center services.Data centers typically contain a large number of compute and storage nodes which may fail and affect the quality of service.Failure prediction is an important means of ensuring service availability.Predicting node failure in cloud-based data centers is challenging because the failure symptoms reflected have complex characteristics,and the distribution imbalance between the failure sample and the normal sample is widespread,resulting in inaccurate failure prediction.Targeting these challenges,this paper proposes a novel failure prediction method FP-STE(Failure Prediction based on Spatio-temporal Feature Extraction).Firstly,an improved recurrent neural network HW-GRU(Improved GRU based on HighWay network)and a convolutional neural network CNN are used to extract the temporal features and spatial features of multivariate data respectively to increase the discrimination of different types of failure symptoms which improves the accuracy of prediction.Then the intermediate results of the two models are added as features into SCSXGBoost to predict the possibility and the precise type of node failure in the future.SCS-XGBoost is an ensemble learning model that is improved by the integrated strategy of oversampling and cost-sensitive learning.Experimental results based on real data sets confirm the effectiveness and superiority of FP-STE.

Cloud Data Center Selection Using a Modified Differential Evolution

The interest in selecting an appropriate cloud data center is exponentially increasing due to the popularity and continuous growth of the cloud computing sector.Cloud data center selection challenges are compounded by ever-increasing users’requests and the number of data centers required to execute these requests.Cloud service broker policy defines cloud data center’s selection,which is a case of an NP-hard problem that needs a precise solution for an efficient and superior solution.Differential evolution algorithm is a metaheuristic algorithm characterized by its speed and robustness,and it is well suited for selecting an appropriate cloud data center.This paper presents a modified differential evolution algorithm-based cloud service broker policy for the most appropriate data center selection in the cloud computing environment.The differential evolution algorithm is modified using the proposed new mutation technique ensuring enhanced performance and providing an appropriate selection of data centers.The proposed policy’s superiority in selecting the most suitable data center is evaluated using the CloudAnalyst simulator.The results are compared with the state-of-arts cloud service broker policies.