Barthel评估操应用于肿瘤患者分级护理的效果

目的探讨Barthel指数(Barthel index BI)量表评估操应用于肿瘤科实施分级护理的效果。方法便利抽样法选取2015年1-5月在同济大学附属肺科医院肿瘤科住院的肺部肿瘤患者50例为研究对象,分别行BI指数量表评分和BI评估操评分,记录两种评估方法的评估时间,根据分值结合患者病情确定护理分级。结果 50例患者的BI指数量表评分评估时间为(3.5±2.31)min,BI评估操评分时间为(2.1±1.50)min,差异有统计学意义(P<0.05);BI指数量、BI评估操评分结合患者病情分级而确定的护理分级分别为:Ⅰ级护理6例,Ⅱ级护理44例;Ⅰ级护理10例,Ⅱ级护理40例,差异无统计学意义(P>0.05)。患者对于BI评估操评分的护理满意度得分为(98.45±1.21)分,显著高于BI指数量表评分的(91.23±2.13)分(P<0.05)。结论 BI评估操作为BI指数量表测评实施的工具,可完成对患者生活自理能力的客观评定,有助于临床护士客观、合理地进行护理分级决策,是对护理分级标准的有益补充。

Barthel指数评估操的制定及多中心应用研究

目的探讨Barthel指数评估操评估患者日常生活活动能力的效果。方法参照Barthel指数评定量表的评估项目制作成7个步骤的Barthel指数评估操,选取上海市3所三级甲等医院8个科室的764例住院患者,在患者入院时分别运用Barthel指数评定量表和Barthel指数评估操,评估患者的日常生活活动能力等级,分别记录两种评估方法的评估耗时和患者满意度。结果 Barthel指数评定量表和Barthel指数评估操的评估结果具有一致性(Kappa=0.775,P<0.01),Barthel指数评估操的评估时间短于Barthel指数评定量表,患者满意度高于Barthel指数评定量表(均P<0.01)。结论 Barthel指数评估操可准确评估患者的日常生活活动能力,并缩短评估时间,提高患者对评估工作的满意度。

改良版Barthel评估操用于骨科患者分级护理效果分析

目的探讨改良版Barthel评估操用于骨科患者分级护理的效果。方法选取骨科2019年3月至2020年3月收治的患者72例,随机分为观察组及对照组,各36例。观察组应用改良版Barthel评估操实施分级护理,对照组应用Barthel量表常规护理。结果观察组的生活质量评分均高于对照组(P<0.05);观察组的护理满意度为94.44%,明显高于对照组的75.00%(P<0.05);观察组评估耗时为(2.13±0.52)min,明显短于对照组的(5.76±1.38)min(P<0.05)。结论采用改良版Barthel评估操对骨科患者实施分级护理,可显著改善患者的护理满意度,提升生活质量,加快患者康复速度。

Barthel指数评估操在全喉切除患者术后分级护理中的应用

目的探讨Barthel指数评估操在全喉切除患者术后分级护理中的应用效果。方法采用便利抽样法,选取2018年1月—2019年6月在南京大学医学院附属鼓楼医院耳鼻咽喉头颈外科行全喉切除术的喉癌患者51例为研究对象。采用随机数字表法将其分为对照组(n=24)和观察组(n=27)。比较两组患者分级护理的等级、术后早期下床活动依从性以及自我护理能力的差异。结果两组患者术后护理分级比较差异无统计学意义(P>0.05)。观察组患者术后早期下床活动依从性优于对照组,差异有统计学意义(P<0.05)。出院前1 d观察组患者自我护理能力总分及各维度得分均高于对照组,差异有统计学意义(P<0.05)。结论Barthel指数评估操可客观评估全喉切除术后患者生活自理能力,提高患者术后早期下床活动依从性,增强患者自我护理能力。

Backfill support＇s backfill and operation properties and evaluation

To ensure compacted backfilling, it is essential to ensure the reliability of the performance of a solid backfill support, key equipment for integrating backfilling and mining. To evaluate the backfilling performance of a backfill support, the concept of backfill and operation properties is proposed in this study. Moreover, it is elaborated in terms of five aspects, namely, structural property, supporting property, tamping property, mechanical response property, and geological adaptation property, which are specifically reflected by 14 indexes including the supporting intensity and vertical roof gap. Seven separate evaluation indexes are selected to build a backfill and operation properties based system for evaluating the design schemes of the backfill support via a multi-index comprehensive evaluation method; then, the evaluation method and process together with measures to control the backfill and operation properties are proposed. By using this system, 11 schemes for optimizing the ZC5200/14.5/3 backfill support at Zhaizhen Coal Mine are evaluated, and scheme #10 is found to show superior vertical roof gap and other backfill and operation properties, thus demonstrating the reasonability of the evaluation system. On this basis, the backfill support research framework of designing initial scheme, optimizing design scheme, selecting the best evaluation indexes, evaluating optimizing scheme, and evaluating operation properties is built; this should serve as an important reference for further studies on the roof controlling performance of a backfill support.

Passenger Flow Status Evaluation in Subway Station Based on Probabilistic Neural Network

This paper select the escalator with large flow in the station as the object, analysing the correlation of the AFC data of the in and out gates and the passenger flow parameters by passenger flow density and the passing time acquired and calculated in the waiting area of the prediction escalator to select the gates related to the predicted the escalator. NARX neural network is used to predict the model of the passenger flow parameters of the escalator waiting area based on the related gates＇ AFC data, then a probabilistic neural network model was established by using the AFC data and predicted passenger flow parameters as input and the passenger flow status in the escalator waiting area of subway station as output.The result shows the predicting model can predict the passenger flow status of the escalator waiting area better by the AFC data in the subway station. Research result can provide decision basis for the operation management of the subway station.

Total plant performance evaluation based on big data: Visualization analysis of TE process

The performance evaluation of the process industry, which has been a popular topic nowadays, can not only find the weakness and verify the resilience and reliability of the process, but also provide some suggestions to improve the process benefits and efficiency. Nevertheless, the performance assessment principally concentrates upon some parts of the entire system at present, for example the controller assessment. Although some researches focus on the whole process, they aim at discovering the relationships between profit, society, policies and so forth, instead of relations between overall performance and some manipulated variables, that is, the total plant performance. According to the big data of different performance statuses, this paper proposes a hierarchical framework to select some structured logic rules from monitored variables to estimate the current state of the process. The variables related to safety and profits are regarded as key factors to performance evaluation. To better monitor the process state and observe the performance variation trend of the process, a classificationvisualization method based on kernel principal component analysis(KPCA) and self-organizing map(SOM) is established. The dimensions of big data produced by the process are first reduced by KPCA and then the processed data will be mapped into a two-dimensional grid chart by SOM to evaluate the performance status. The monitoring method is applied to the Tennessee Eastman process. Monitoring results indicate that off-line and on-line performance status can be well detected in a two-dimensional diagram.

Evaluation of Several Phases in the Development of Management Accounting

This paper discusses three issues, raised by Relevance Lost （Johnson ＆ Kaplan, 1987）, about historical evaluation of the development of management accounting. The first issue is when management accounting system was formed; the second is how to evaluate its development in subsequent decades; the third is how to evaluate the development of practice and research of management accounting in almost twenty years after Relevance Lost was published. The role of Relevance Lost in practice and theoretical research of management accounting is widely recognized, and the disagreement with it in this paper is in the specific area of the development history of management accounting. The authors of this paper believe that the development, through having its ups and downs over time, is generally speaking a continuous process, not separated by disconnected phases, leaping from one to another. Along with the progress in practice and research, researchers and practitioners are deepening their understanding about the theoretical foundation and practical development of management accounting. The history of development of management accounting is consistent with the process people gradually understand it.

Research on the Evaluation System of National Standardization

Standardization receives varied attention in different countries. Based on the Chinese national standardization status, this paper sets an evaluation system of national standardization on the principles of logic, comprehensiveness and operability, taking into account national standards and standardization activities. The evaluation system evaluates the national standardization development level through four aspects： standard development, standards implementation, standardization supporting measures, and participation in international standardization. This evaluation system provides a reasonable basis to evaluate the national standardization development level. The survey shows that if China wants to enhance its standardization development level, China needs to improve its standard development level, strengthen implication and application of standards, expand the standardization support measures and continuously improve the level of participation in international standardization.

Design and Evaluation Tool for Operations and Maintenance Logistics Concepts for Offshore Wind Power Plants

In this article, the authors give an overview of different logistics concepts for operation and maintenance of OWPP （offshore wind power plants）. These can be generally classified into onshore based and offshore based concepts. The operation of OWPPs can still be improved as research has shown that the availability of OWPPs is low compared to onshore wind power plants. There are a few tools to calculate operating costs and to evaluate the different concepts. However, most tools have a weak focus on logistics although logistics account for a big share of the costs. The tool the authors are introducing in this article focuses on the logistics processes. It is first explained and then tested with an OWPP scenarin

Application of Big Data Technology in Evaluation of Operating Status of High-pressure Hydrogenation Heat Exchanger

The high-pressure hydrogenation heat exchanger is an impoltmlt equipment of the refinery, but it is exposed tothe problem of leakage caused by ammonium salt corrosion. Therefore, it is very important to evaluate the operating statusof flae hydrogenation heat exchanger. To improve flae method for evaluating the operating status of hydrogenation heat ex-chmagers by using flae traditional method, flais paper proposes a new method for evaluating the operation of hydrogenationheat exchangers based on big data. To address flae noisy data common in flae industry, this paper proposes an automatednoisy interval detection algorithm. To deal with flae problem that the sensor parameters have voluminous and mtrelateddimensions, flais paper proposes a key parameter detection algorithm based on flae Pearson correlation coefficient. Finally,this paper presents a system-based health scoring algorithm based on PCA （Principal Component Analysis） to assist site op-erators in assessing the healfla of hydrogenation heat exchangers. The evaluation of flae operating status of flae hydrorefiningheat exchange device based on big data technology will help the operators to more accurately grasp the status of flae indus-trial system mad have positive guiding significance for the early warning offlae failure.

Study of the Evaluation Mode on Fashion Brand Value

This paper generally analyzes the current international and domestic brand evaluation theory on brand value. Starting from the most basic assessment of object analysis, it analyzes the current methods of brand evaluation and its focus, and then analyzes the actual operation of the most authoritative international brand evaluation agencies - Interbrand, to conduct a detailed research and analysis. Based on this, combining with the current situation of China fashion brand market, it re-summaries the evaluation parameter respectively, from the short-term brand strength factors, to the long-term brand benefit and consumer factors, in order to establish a new evaluation frame fit for China fashion industry.

Evaluation of the operation efficiency of maternity insurance fund --based on DEA method

Maternity insurance fund is an important part of social insurance fund. It plays an important role in safeguarding the rights and interests of pregnant women and improving the welfare of women. With the expansion of the balance of the birth insurance fund, the balance of income and expenditure has become a difficult goal to be reached. Therefore, this paper aims to evaluate the operating efficiency of the birth insurance fund, discover the problems of the birth insurance system, and put forward some suggestions to improve the efficiency of the birth insurance fund and promote the perfection of the birth insurance.

Mathematical Modelling for Assessing Integrity of Power Systems Grounding Devices

This paper presents the development of a new technique to monitor the operating conditions of a grounding device of high voltage apparatus and systems without any diggings and forced outages. The model is based on the evaluation of the magnetic field distribution along the current-carrying horizontal element when it has been deteriorated or broken. A mathematical model which can be used to analyze and evaluate the integrity of the grounding device has been developed. Computer simulation studies were conducted to validate the effectiveness of the proposed model.

Application research of multivariate linkage fluctuation analysis on condition evaluation in process industry

Abnormal conditions are hazardous in complex process systems, and the aim of condition recognition is to detect abnormal conditions and thus avoid severe accidents. The relationship of linkage fluctuation between monitoring variables can characterize the operation state of the system. In this study,we present a straightforward and fast computational method, the multivariable linkage coarse graining(MLCG) algorithm, which converts the linkage fluctuation relationship of multivariate time series into a directed and weighted complex network. The directed and weighted complex network thus constructed inherits several properties of the series in its structure. Thereby, periodic series convert into regular networks, and random series convert into random networks. Moreover, chaotic time series convert into scale-free networks. It demonstrates that the MLCG algorithm permits us to distinguish, identify, and describe in detail various time series. Finally, we apply the MLCG algorithm to practical observations series, the monitoring time series from a compressor unit, and identify its dynamic characteristics. Empirical results demonstrate that the MLCG algorithm is suitable for analyzing the multivariable linkage fluctuation relationship in complex electromechanical system. This method can be used to detect specific or abnormal operation condition, which is relevant to condition identification and information quality control of complex electromechanical system in the process industry.

Differential equation dynamical system based assessment model in GNSS interoperability

With the development of Global Navigation Satellite System (GNSS),the idea of GNSS interoperability is born and has become the focus of study in the field of satellite navigation.The popularity for GNSS to augment the interoperability with the existing ones necessitates the study of the assessment algorithm of this idea.In this paper,an assessment algorithm for interoperability comprehensive benefits based on the differential equation dynamical system is discussed.There are two important aspects in GNSS that interoperability will affect:one is the performance advancement;the other one is the cost of adopting interoperability.While researching the complex relationship between the performance and cost,we found this relationship is similar as what between prey and predator in biomathematics,so the Lotka-Volterra model used to depict the prey-predator relationship is a felicitous tool.After building a differential dynamical model,we analyze the existence and stability of the positive equilibrium in the model.Then a Cost-Effective Function of GNSS is constructed based on the positive equilibrium,which is employed to assess the interoperability,qualitatively and quantitatively.Finally,the paper demonstrates the significance of the model and its application by citing a numerical example.