Current Status of the Application of Surgical Specialty Nursing Quality Evaluation Indicators

This paper reviews the current status of the application of surgical specialty nursing quality evaluation indicators both domestically and internationally.It covers the related concepts,theoretical foundations,construction methods,construction fields,application research,and existing shortcomings of these indicators.It suggests that scholars and researchers in the nursing field in China should base their work on mature theories,use scientific research methods,and construct a quality indicator system that aligns with China’s surgical development,is practical,unified,suitable for the local context,and beneficial for the development of the surgical nursing discipline.

Reflection and reconstruction： The evaluation system of the construction of the national characteristic specialty in China

In this paper, the author reflects the evaluation and appraisal systems for the construction of the characteristic specialty. Guided by the selection of the contents and the path of the construction of the characteristic specialty, from the dimension of reviewing the problems existing in the construction, with the defects of the deliberative evaluation index as the power of the correction, on the foundation of distinguishing the necessity of the construction of the evaluation, the author treats the construction and the innovation as the connotation of the evaluating indexes, refers to the data for the professional evaluation as the reference model, and reconstructs the evaluation systems of the construction of the characteristic specialty.

Reflection and reconstruction： The evaluation system of the construction of the national characteristic specialty in China

In this paper, the author reflects the evaluation and appraisal systems for the construction of the characteristic specialty. Guided by the selection of the contents and the path of the construction of the characteristic specialty, from the dimension of reviewing the problems existing in the construction, with the defects of the deliberative evaluation index as the power of the correction, on the foundation of distinguishing the necessity of the construction of the evaluation, the author u＇eats the construction and the innovation as the connotation of the evaluating indexes, refers to the data for the professional evaluation as the reference model, and reconstructs the evaluation systems of the construction of the characteristic specialty.

Evaluation and Optimization of the Logistics Service of Agricultural Products:an Empirical Analysis Based on Analytic Hierarchy Process

This research,from the theories of management science,supply chain management and logistics engineering,on the basis of extensive investigations,and using the method of analytic hierarchy process(AHP),evaluates the present situation of logistics service of agricultural products.Taking Nanping City(Nanping)as a case,it explores the obstacles existing in current logistics service system and the factors limiting the development of agricultural product logistics service.Combining with the theory of modern logistics system,it reveals the problems in the logistics system and the causes,and then constructs the strategy of optimization for agricultural product logistics service in Nanping.The conclusion of the study can be references for the government to make scientific strategies for the development of the agricultural product logistics service and help logistics enterprises improve their service level.

A Research on Evaluation System of Enterprise Logistics Management Maturity

Comprehensive measure and objectively reflect the maturity of enterprise logistics management is an important topic in business management. This paper, based on fuzzy evaluation method, constructs the evaluation index system of enterprise logistics management maturity, takes production-oriented enterprises for example, and explores the establishment of enterprise logistics management maturity evaluation system.

Risk Evaluation on Logistics Finance of Agricultural Products Based on Fuzzy-AHP Model

The development of logistics finance business for agricultural products is the best way to realize the common interests of logistics enterprises,small and medium-sized agricultural product enterprises and financial institutions,which will contribute to the development of China's new socialist rural economy and the construction of " two-oriented society". As the agricultural products have some special attributes,it's easy to create the risk in carrying out the logistics finance business. The paper constructs a risk evaluation indicator system for logistics finance of agricultural product,and uses the Fuzzy-AHP model to evaluate. The results show that the comprehensive risk level is normal risk,which shows that third-party logistics enterprises can carry out the logistics financial business of agricultural products,but the risks from logistics enterprises and agricultural collateral need to be prevented.

Study on Sex Ratio of Lampreys Based on Simulated Ecosystem-Food Web Model

Lampreys, as an important participant in the ecosystem, play an irreplaceable role in the stability of nature. A variety of models were used to simulate ecosystems and food webs, and the dynamic evolution of multiple populations was solved. The temporal changes of the biomass and the health of the ecosystem affected by the population of Lampreys in other ecological niches were solved. For problem 1, Firstly, a simple natural ecosystem is simulated based on the threshold model and BP neural network model. The dynamic change of the sex ratio of lampreys population and the fluctuation of ecosystem health value were found to generate time series maps. Lampreys overprey on low-niche animals, which damages the overall stability of the ecosystem. For problem 2, We used the Lotka-Volterra model to construct ecological competition between lampreys and primary consumers and predators. Then, the Lotka-Volterra equations were solved, and a control group without gender shift function was set up, which reflected the advantages and disadvantages of the sex-regulated characteristics of lampreys in the natural environment. For problem 3, The ecosystem model established in question 1 was further deepened, and the food web was simulated by the Beverton-Holt model and the Logistic time-dependent differential equations model. The parameters of the food web model were input into the neurons of the ecosystem model, and the two models were integrated to form an overall biosphere model. The output layer of the ecosystem neural network was input into the food web Beverton-Holt and Logistic differential equations, and finally, the three-dimensional analytical solution was obtained by numerical simulation. Then Euler method is used to obtain the exact value of the solution surface. The Random forest model was used to predict the future development of lampreys and other ecological niches. For problem 4, By investigating relevant literature, we normalized the populations of lampreys and a variety of fish as well as other ecological niche animals, plants and microorganisms in the same water area, set different impact weights of lampreys, constructed weight evaluation matrix, and obtained positive and negative ideal solution vectors and negative correlation proximity by using TOPSIS comprehensive evaluation method. It is concluded that many kinds of fish are greatly affected by the sex regulation of lampreys.

A Support Vector Machine-based Evaluation Model of Customer Satisfaction Degree in Logistics

This paper presents a novel evaluation model of the customer satisfaction degree （CSD） in logistics based on support vector machine （SVM）. Firstly, the relation between the suppliers and the customers is analyzed. Seondly, the evaluation index system and fuzzy quantitative methods are provided. Thirdly, the CSD evaluation system including eight indexes and three ranks based on one-against-one mode of SVM is built, last simulation experint is presented to illustrate the theoretical results.

Comprehensive decision-making method for optimal location of logistics hubs

A mathematical optimal model is developed to address the problem of logistics hubs location.The method integrates nonlinear programming models and fuzzy comprehensive evaluation,and handles both quantitative and qualitative factors that influence the location of logistics hubs.A mathematical programming model is used to find the optimal candidate sites of the logistics hub based on profit-maximizing criteria.Then a fuzzy comprehensive evaluation method is adopted to determine the final optimal location of those candidate sites by taking account of criteria including stability of policy environment,convenience of transportation(e.g.,easy access to highways/expressways,etc.),rationality of economy,competition and sustainability.Finally,the methodology is demonstrated by a case study of the Transfar Logistics Base in Zhejiang Province.The results verify the method application for logistics hub locations and show how to locate a logistics hub in practice from the case of Transfar Logistics Base.

Study on Task Assignment of Two-stage Multi-service Capability Port Logistics Service Providers

This paper mainly studies the problem of multi-task assignment of providers in port logistics service supply chain.As a core enterprise,port plays the role of logistics service integrator.With the continuous development of industrial integration,logistics service providers not only provide one kind of logistics service,but also develop into composite suppliers who capable of providing a variety of logistics services.This paper studies the task assignment problem of multi-service capability providers in the port logistics service supply chain.The two-stage logistics service provider task assignment model was built,which is based on the mixed evaluation method(including MOORA and FMEA)and the multi-objective planning method.Eventually,the effectiveness of the model method was verified by combining with an example.

Relative accuracy of spatial predictive models for lynx Lynx canadensis derived using logistic regression-AIC,multiple criteria evaluation and Bayesian approaches

We compared probability surfaces derived using one set of environmental variables in three Geographic Information Systems （GIS） -based approaches： logistic regression and Akaike＇s Information Criterion （AIC）, Multiple Criteria Evaluation （MCE）, and Bayesian Analysis （specifically Dempster-Shafer theory）. We used lynx Lynx canadensis as our focal species, and developed our environment relationship model using track data collected in Banff National Park, Alberta, Canada, during winters from 1997 to 2000. The accuracy of the three spatial models were compared using a contingency table method. We determined the percentage of cases in which both presence and absence points were correctly classified （overall accuracy）, the failure to predict a species where it occurred （omission error） and the prediction of presence where there was absence （commission error）. Our overall accuracy showed the logistic regression approach was the most accurate （74.51%）. The multiple criteria evaluation was intermediate （39.22%）, while the Dempster-Shafer （D-S） theory model was the poorest （29.90%）. However, omission and commission error tell us a different story： logistic regression had the lowest commission error, while D-S theory produced the lowest omission error. Our results provide evidence that habitat modellers should evaluate all three error measures when ascribing confidence in their model. We suggest that for our study area at least, the logistic regression model is optimal. However, where sample size is small or the species is very rare, it may also be useful to explore and/or use a more ecologically cautious modelling approach （e.g. Dempster-Shafer） that would over-predict, protect more sites, and thereby minimize the risk of missing critical habitat in conservation plans .

Study on the Logistics Management Problems in Colleges and Universities

The development of the logistics work is one of the indispensable important components in the whole construction and development process of colleges and universities. The effective development of the logistics work can lay a solid, powerful foundation for the implementation of the main functions and the education and teaching activities, and also can provide a reliable guarantee for the teaching management work. Therefore, the important significance and value of the logistics management work in colleges and universities are seen. According to the actual situation, in this paper, the logistics work in colleges and universities is deeply considered and discussed, and the main problems in the present logistics management are studied based on fully understanding the logistics management specialties, and then the measures and methods for solving the above problems are proposed. Hopefully, a due effect is played on the quality of the logistics management in colleges and universities at the present time.

基于平衡计分卡的公立医院临床专科中心化建设评价模型构建

目的:建立公立医院临床专科中心化建设评价模型。方法:基于平衡计分卡,从中心结构、临床发展能力、财务运营、技术创新和临床转化能力等维度建立公立医院临床专科中心化建设评价框架,通过德尔菲法构建评价指标体系,结合层次分析法来确定权重。结果:构建了包含5个一级指标、11个二级指标,28个三级指标的公立医院专科中心化建设评价模型。结论:本研究构建的公立医院专科中心化建设评价模型具有一定的推广性,在实际应用中,医院可根据实际发展情况重新确定权重系数从而形成适宜医院发展的临床专科中心化建设评价模型。

Logistics模型在科学素养评测中的质量分析与应用

将项目反应理论中的Logistics模型应用于小学六年级科学素养评测的质量分析中。针对选择题,选择双参数Logistics模型进行分析,通过项目信息函数和项目特征曲线的结果验证比较,选择评测中项目区分度和项目难度均较为合适的选择题。同时使用多线程Logistics模型对问答题进行分析,发现问答题能够较好地将测试者的能力区分出来,题目也具有较好的项目信息函数,题目设计较为合理。Logistics模型在评测设计中的应用,既有助于评测设计的科学性与有效性,也为相关领域研究提供了参考。

Multi-parameters uncertainty analysis of logistic support process based on GERT

The uncertainty analysis is an effective sensitivity analysis method for system model analysis and optimization. However,the existing single-factor uncertainty analysis methods are not well used in the logistic support systems with multiple decision-making factors. The multiple transfer parameters graphical evaluation and review technique（MTP-GERT） is used to model the logistic support process in consideration of two important factors, support activity time and support activity resources, which are two primary causes for the logistic support process uncertainty. On this basis,a global sensitivity analysis（GSA） method based on covariance is designed to analyze the logistic support process uncertainty. The aircraft support process is selected as a case application which illustrates the validity of the proposed method to analyze the support process uncertainty, and some feasible recommendations are proposed for aircraft support decision making on carrier.

临床专科评价的DRG细化分组机制研究

目的将细分后的DRG分组作为临床专科评价工具,为专科评价提供参考。方法邀请20余名相关专家进行专题讨论,将CHS-DRG现有的376组ADRG组按国家《医疗机构诊疗科目名录》细分为460组,分入42个专科。结果有277组归属唯一专科;有57组被拆分为两个专科;有19组被拆分为两个以上专科;另有23组不进行细分,其中5组在国家医疗保障局细分组方案中未见具体编码。结论基于细分后的DRG分组,可准确归属专科并开展临床专科评价,有利于促进优势专科能力建设。依据不同专科特点,增加更具有针对性的考核要素,有助于进行精细化绩效评价。