风险分析式预防性管理对医疗设备管理质量的影响

目的探讨风险分析式预防性管理对医疗设备管理质量的影响。方法将2020年5—10月烟台山医院进行常规管理的医疗设备作为对照组,将2020年11月至2021年4月医院进行风险分析式预防性管理的医疗设备作为观察组。两组医疗设备、管理人员及使用人员均相同,比较两组医疗设备管理质量达标情况、医疗设备管理效果及使用人员对医疗设备维护情况的评价。结果观察组医疗设备管理质量月达标率均高于对照组,差异有统计学意义(P<0.05);观察组设备开机率、故障自修率均高于对照组,管理费用增长率低于对照组,差异有统计学意义(P<0.05);观察组使用人员对医疗设备维护情况的满意度高于对照组,差异有统计学意义(P<0.05)。结论风险分析式预防性管理可有效提高医疗设备管理质量,提升医疗设备管理人员的技能水平及对医疗设备维护情况的满意度。

管理层讨论与分析有用性评价研究述评

管理层讨论与分析(MD&A1)能够提供财务信息无法提供的解释性信息和前瞻性信息,因而对MD&A有用性评价相关文献进行系统梳理具有重要的意义。根据文献综述法:MD&A有用性评价的角度包括:公司前景预测、投资决策、叙述语言的消极或积极倾向和叙述语言的修改程度角度;MD&A有用性评价的方法包括:手工内容分析法、问卷调查法、自动文本分析法和采用其他机构评价结果法。

Dynamic performance management system

An integrated, efficient and effective performance management system, ＂dynamic performance management system＂, is presented, which covers the entire performance management process including measures design, analysis, and dynamic update. The analysis of performance measures using causal loop diagrams, qualitative inference and analytic network process is mainly discussed. A real world case study is carried out throughout the paper to explain how the framework works. A software tool for DPMS, Performance Analyzer, is also introduced.

Nonlinear Statistical Process Monitoring Based on Control Charts with Memory Effect and Kernel Independent Component Analysis

A novel nonlinear combination process monitoring method was proposed based on techniques with memo- ry effect （multivariate exponentially weighted moving average （MEWMA）） and kernel independent component analysis （KICA）. The method was developed for dealing with nonlinear issues and detecting small or moderate drifts in one or more process variables with autocorrelation. MEWMA charts use additional information from the past history of the process for keeping the memory effect of the process behavior trend. KICA is a recently devel- oped statistical technique for revealing hidden, nonlinear statistically independent factors that underlie sets of mea- surements and it is a two-phase algorithm., whitened kernel principal component analysis （KPCA） plus indepen- dent component analysis （ICA）. The application to the fluid catalytic cracking unit （FCCU） simulated process in- dicates that the proposed combined method based on MEWMA and KICA can effectively capture the nonlinear rela- tionship and detect small drifts in process variables. Its performance significantly outperforms monitoring method based on ICA, MEWMA-ICA and KICA, especially for lonu-term performance deterioration.

Full 2D Hydrodynamic Modelling of Rainfall-induced Flash Floods

Mountain catchments are prone to flash flooding due to heavy rainfall. Enhanced understanding of the generation and evolution processes of flash floods is essential for effective flood risk management. However, traditional distributed hydrological models based on kinematic and diffusion wave approximations ignore certain physical mechanisms of flash floods and thus bear excessive uncertainty. Here a hydrodynamic model is presented for flash floods based on the full two-dimensional shallow water equations incorporating rainfall and infiltration. Laboratory experiments of overland flows were modelled to illustrate the capability of the model. Then the model was applied to resolve two observed flash floods of distinct magnitudes in the Lengkou catchment in Shanxi Province, China. The present model is shown to be able to reproduce the flood flows fairly well compared to the observed data. The spatial distribution of rainfall is shown to be crucial for the modelling of flash floods. Sensitivity analyses of the model parameters reveal that the stage and discharge hydrographs are more sensitive to the Manning roughness and initial water content in the catchment than to the Green-Ampt head. Most notably, as the flash flood augments due to heavier rainfall, the modelling results agree with observed data better, which clearly characterizes the paramount role of rainfall in dictating the floods. From practical perspectives, the proposed model is more appropriate for modelling large flash floods.

Study on Performances of Car-following Models Induced by Motions of a Leading Car

This paper investigated the performances of a well-known car-following model with numerical simulations in describing the deceleration process induced by the motion of a leading car. A leading car with a pre-specilied speed profile was used to test the above model. The results show that this model is to some extent deficient in performing the process aforementioned. Modifications of the model to overcome these deficiencies were demonstrated anda modified car-following model was proposed accordingly. Furthermore, the delay time of car motion of the new model were studied.

Dynamic Analysis of Historical Brick Masonry House

Brick masonry constructions are very common in many areas in the world and their failure in earthquakes has been the cause of many deaths. Since human safety is main issue of disaster management, people are more concerned about the structural assessment and strengthening of those constructions. One historical brick masonry house located in Kathmandu world heritage site is modeled by FEM （finite element method） and analyzed in E1 Centro earthquake ground motions. Bricks are modeled as solid elements and the interfaces between the brick units are modeled as zero thickness joint elements. Then, non-linear analyses of the house are applied satisfying the famous Mohr-Coulomb failure criterion. The result shows that the house is very weak and sustains large deformation in El Centro 1940 Earthquake. A strengthening solution modifying the connections of existing elements and adding wooden frame inside the house can reduce the deformations significantly.

Improving Refinery Profits via Fine Management of Hydrogen Networks

Hydrogen network management is important to refineries. Various systematic management techniques have been developed to improve the efficiency of refinery hydrogen networks. However, existing methods all treat the hydrogen network separately. The tradeoff between hydrogen network cost and oil processing network benefit has not been explored in the hydrogen network management yet. A novel sensitivity analysis scheme is presented to take oil processing network into consideration. Oil processing unit which is sensitive to both oil processing networks and hydrogen networks is identified first. Then, sensitivity analysis of the unit around the operating point of oil processing networks and hydrogen networks is carried out. Finally, the overall optimal operating condition is obtained. An example of a real Chinese refinery demonstrates the effectiveness of the proposed analysis method.

Exploring Enterprise Performance Indicators Network： A Case Study of China Telecommunication Industry

Perforrmnce indicators play some important roles in enterprise operation. Both researchers and managers have recently pointed out that the identification of correlation between different performmance indicators may lead to a better understanding of business. However, it is becoming more and more difficult to measure and analyze these indicators since the fast growing number of performance indicators and the complex relationships between them The existing categories failed to reflect these changes in an adequate way, and the quantitative analysis methods for identifying the characters of those pefformance indicators are still worthy of investigation. The main objective of this paper is to propose a practical methodology for managing and analyzing performance indicators in enterprises, which focuses on building up a performance indicator system and discovering the characters of those performance indicators by applying complex network methods. The empirical results of a telecommunieation enterprise show that the proposed method can be effective in understanding the correlations between performance indicators.

Uncovering the Connections Among Sustainability, Governance and GDP

This paper examines the connections among sustain- ability, governance and GDP, using the data from 123 countries. Sustainability is found to be related with GDP in two contradic- tory ways. On the one hand, growth in GDP strengthens a nation’s ability to maintain favorable environmental conditions into the future. On the other hand, GDP growth is built on more consump- tion of natural resources, and therefore generates a larger “foot- print” on the Earth. Governance plays a key role in sustainable development. However, it is not helping to reduce our footprint on the Earth. In fact, good governance is linked to a larger footprint. This reflects our materialist value and human impulse. When a society prefers the comfort and well-being of human beings to the welfare of its environment, democratic governance might be used as an effective tool against nature.

Covariance Estimation Using High-Frequency Data： An Analysis of Nord Pool Electricity Forward Data

The modeling of volatility and correlation is important in order to calculate hedge ratios, value at risk estimates, CAPM （Capital Asset Pricing Model betas）, derivate pricing and risk management in general. Recent access to intra-daily high-frequency data for two of the most liquid contracts at the Nord Pool exchange has made it possible to apply new and promising methods for analyzing volatility and correlation. The concepts of realized volatility and realized correlation are applied, and this study statistically describes the distribution （both distributional properties and temporal dependencies） of electricity forward data from 2005 to 2009. The main findings show that the logarithmic realized volatility is approximately normally distributed, while realized correlation seems not to be. Further, realized volatility and realized correlation have a long-memory feature. There also seems to be a high correlation between realized correlation and volatilities and positive relations between trading volume and realized volatility and between trading volume and realized correlation. These results are to a large extent consistent with earlier studies of stylized facts of other financial and commodity markets.

The study on the Psychological motivation of Costs Stickiness --Empirical Evidence from China

This paper studies Whether the managerial overconfidence have any impact on the Cost management （Characterized by the degree of the Costs Stickiness ） .Using the ample of the A-share listed companies between 2007-2011 in China, We document that SG＆A cost stickiness decreases in the degree of overconfidence. The further studies show the negative relation is more significant in the state-owned listed companies,which proved our speculation that the manager will cut expenses avoiding significant decline in performance when the sales decline in the state-owned listed company.

Research on the performance management of the special funds in provincial colleges and universities

This paper is a comprehensive data collection and analysis of the special performance of the managed fund in provincial universities, which has very important academic value and theoretical and practical significance for the effective and rational improvement of the utilization ratio of the special funds, the specification of the management the university capitals and the ceaseless development of the education reform. It also has very important academic value and theoretical practical significance for the improvement of the financial management levels, the introduction of the evaluation results of the special funds into the budget appropriation mechanism, the refinement of the budget planning of the special funds, the improvement of the scientificalness and accuracy of the budget planning oft he special fimds, and the further strengthening of the management of the expenditure and balance of the special funds of universities, and the formulation of the scientific and effective performance evaluation methods, and the formation of the theoretical platform of the performance management evaluation.

The FAHP-based Risk Assessment in the Conclusion of Equipment Procurement Contract

The risk assessment of contract conclusion is the primary and key part of equipment purchase contract risk management. In this paper, based on the fuzzy characteristics of contract risks, and overcoming the traditional disadvantages of analytic hierarchy process （AHP）, the fuzzy analytic hierarchy process （FAHP） of contract conclusion is proposed for meeting the actual need of equipment procurement contract risk assessment, and implementing the risk factors qualitative and quantitative assessments of different working nodes in contract conclusion. Thus, a scientific and reliable important basis is provided for the risk management of equipment procurement contract.

Analysis on Cost and Profit in Farming Activity in Malaysia

There is an excessive dissimilarity between scholars in how to accumulate output costs. Worldwide farming advancement is concerned with yield enhancement instead of a holistic natural source management for food safety. Nevertheless, knowledge regarding the achievement of agriculture systems subject to natural and conventional management in tropical and subtropical areas is insufficient. Why do several farmers record less profit than other farmers？ Cost in agriculture activity influences the volume of profit gained by farmers. The number of respondents was 53. Data analysis was made using linear regression analysis to achieve the objective. The scatter diagram manifested a positive connection in cost and profit in agriculture activity from 2009 to 2013. For each cost increase in 2009-2012, the model forecasts a rise of returns for every year. The rate of profit earned by farmers every year shifts considerably in relation to the rate of cost in agriculture activity. This study recommends common accounting principles practices that exercise bookkeeping and managerial accounting to enhance farmstead management and profit. Future research may be conducted on the use of compost fertilizer in increasing agricultural income.

Current University Environmental Management Practices

Universities can be regarded as ＂small cities＂ because of their large size, population and the various complex activities taking place in campuses. Due to their inherent nature universities have a considerable impact on the environment. In this research a test was devised and completed for a sample of Australian universities to analyze the current environmental management practices of the universities over several key areas including： energy management, water management, waste management, transportation, biodiversity and sustainable development. It was discovered that in terms of environmental management universities are currently not performing at a level that is consistent with social and political expectations. In the assessment it was observed that universities have taken it upon themselves to improve to rectify this with many improvements to their current environmental management practices currently under development.

DEA-based Empirical Research on the Performance Analysis of China＇s Commercial Bank Information Security System Application

In this paper, the operating performances of the main commercial banks＇ information security management system applications are empirically researched using the DEA method of operating efficiency＇s multi-stage super efficiency. The DEA model of multi-stage super efficiency is established for the commercial bank information security system applications of China＇s banks using data envelopment analysis （DEA）, and then output efficiency, taxation efficiency, and comprehensive efficiency are analyzed by choosing eight banks such as Industrial and Commercial bank of China as sample data, and finally the operating performance of Chinese commercial banks＇ information security management system is concluded.

管理的悖论(中)

为什么我们一定要把组织中的个人成功归功于系统?承认个体的、有血有肉的人的能量、智慧和投入有什么错?

Uncertainty and Sensitivity Analyses for Modeling Long-Term Soil Organic Carbon Dynamics of Paddy Soils Under Different Climate-Soil-Management Combinations

Reporting modeling results with uncertainty information can benefit decision making by decreasing the extent that variability exerts a disproportionate influence on the options selected. For making decisions with more confidence, the uncertainty interval should be as narrow as possible. Here, the soil organic carbon （SOC） dynamics of the major paddy soil subgroup from 4 different paddy field regions of China （located in 4 counties under different climate-soil-management combinations） were modeled using the DeNitrification- DeComposition （DNDC） model for the period from 1980 to 2008. Uncertainty intervals associated with the SOC dynamics for these 4 subgroups were estimated by a long-term global sensitivity and uncertainty analysis （i. e., the Sobolt method）, and their sensitivities to 7 influential factors were quantified using the total effect sensitivity index. The results, modeled with high confidence, indicated that in the past 29 years, the studied paddy soils in Xinxing, Yixing, and Zhongjiang counties were carbon （C） sinks, while the paddy soil in Helong County was a C source. The 3 C sinks sequestered 12.2 （5.4, 19.6）, 17.1 （8.9, 25.0）, and 16.9 （-1.2, 33.6） t C ha-1 （values in the parentheses are the 5th and 95th percentiles, respectively）. Conversely, the C source had a loss of -5.4 （-14.2, 0.06） t C ha-1 in the past 29 years. The 7 factors, which changed with the climate-soil-management context, exhibited variable influences on modeled SOC. Measures with potential to conserve or sequestrate more C into paddy soils, such as incorporating more crop residues into soils and reducing chemical fertilizer application rates, were recommended for specific soils based on the sensitivity analysis results.