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.

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.

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.

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.

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。

高质量发展下区域绿色物流效率评价研究

区域绿色物流是推进物流业绿色发展的重要元素。基于DFSO提出高质量发展视域下绿色物流框架并构建效率测度指标体系,运用改进三阶段DEA模型对中国30个省(市)进行实证研究,分析各因素对绿色物流效率的影响。结果表明高质量发展视域下省域绿色物流整体效率不高,地区差异明显,纯技术效率是制约其发展的主要因素;高质量发展各方面均对绿色物流效率有不同程度的影响,但二者间的协调仍处初级阶段。基于此,提出高质量发展视域下区域绿色物流效率提升的对策建议。研究能够为相关部门衡量高质量发展时期物流业绿色发展成效、精准施策提供参考。

成果导向视角下专科护士培训迁移的探索与实践

专科护士的培训投入与使用效果之间存在明显差距,已成为我国专科护士发展的主要难点之一,有效开展培训迁移对于促进专科护士将所学内容应用到实际工作中至关重要。中山大学附属第三医院以Holton培训迁移模型为框架,设计专科护士培训迁移管理方案,包括制订外送专科护士培训遴选标准,激发培训迁移动机;以成果为导向,优化专科护士院内培训和评价方案设计;建设专科护士“蓄水池”,激活培训迁移气氛。经过临床实践,取得良好成效,可为我国专科护士的使用与发展提供参考。

中国本土背景下可持续物流服务质量评价

自然环境恶化、资源枯竭以及公众健康公平意识的增强,导致行业组织对可持续发展的重视程度日益提高,低碳化、可持续成为物流业发展的必然趋势。但学界对可持续物流服务质量的研究较为零散,包括我国在内的新兴市场国家更缺乏关于可持续物流服务质量的评价工具及实证探索。为弥补这一缺口,首先,对国内外物流服务质量相关文献进行系统回顾,并基于TBL思维、ESG理念及专家评鉴,提出涵盖环境、经济、社会和客户4个服务可持续性因素,包括19个测量指标的可持续物流服务质量评价指标体系。其次,用灰色BWM和改进的灰色关联分析法确定该评价指标体系的指标权重,显示所有指标均具有不同的重要度排序,一级指标按照权重降序排列依次为环境可持续性、客户可持续性、经济可持续性和社会可持续性。之后,为检验所构建的评价指标体系在实践中的有效性,对我国本土两家行业领先的物流服务提供商——京东物流集团和顺丰速运公司的可持续性经营实践实施评估,依据专家评分结果,在同等情况下,建议客户优先选择京东物流集团作为物流服务提供商。最后,通过灵敏度分析,进一步验证所建立的评价指标体系的稳定性及适用性,为我国企业增强物流服务的可持续性以及提升客户满意度提供有效的评价工具。基于此,我国物流服务提供商为实现可持续性转型,应着力使用环保包装材料、更新清洁能源车辆、推动仓储绿色升级以提升环境可持续性,强化服务的及时性、响应性和灵活性以促进客户的可持续性,加强绿色技术创新和推动物流成本持续优化以进一步加强经济可持续性,并通过注重员工培训及权利保护、积极履行社会责任等努力提升社会可持续性,从而构筑可持续的物流服务竞争优势。