医院呼吸机统分管理模式的探讨及实践

本文提出的以医工为主体的呼吸机统分管理模式,是在当前医疗条件下,成本较低、效果较好、实现较易的一种将分散和集中管理相结合的设备调配模式。通过软件等信息化手段,在护士台通过浏览器实现对呼吸机网上查询、借还机,为临床用机提供了便利,大大提高了呼吸机的使用效率。

基于二维码的医院呼吸机统筹管理策略研究

目的:构建基于二维码的可追溯性呼吸机统筹管理策略,为医疗器械管理方法提出了新的方向。方法:利用普遍应用的Wi Fi网络,通过对设备建立唯一的二维码标识,对呼吸机进行全方位的统筹管理,并采用统分模式进行呼吸机的保存管理。结果:该系统将医院工程设备科与呼吸科的功能有机结合,向呼吸机操作使用人员在线提供设备故障或参数设定等技术服务,并在全院范围内有效组织呼吸机的培训学习,形成完整的呼吸机统筹管理结构。结论:基于二维码的医院呼吸机统筹管理模式,可有效提高呼吸机的使用效率,降低呼吸机故障率,及时解决由区域产生的技术服务困难,促进科室之间的相互交流,提高医院员工的业务管理能力。

A Self-organization Mapping Neural Network Algorithm and Its Application to Identify Ecosystem Service Zones

The self-organization mapping （SOM） neural network algorithm is a new method used to identify the ecosystem service zones at regional extent. According to the ecosystem assessment framework of Millennium Ecosystem Assessment （ MA）, this paper develops an indicator system and conducts a spatial cluster analysis at the 1km by I km grid pixel scale with the SOM neural network algorithm to sort the core ecosystem services over the vertical and horizontal dimensions. A case study was carried out in Xilingol League. The ecosystem services in Xilingol League could be divided to six different ecological zones. The SOM neural network algorithm was capable of identifying the similarities among the input data automatically. The research provides both spatially and temporally valuable information targeted sustainable ecosystem management for decision-makers.

Rocky Desertification Dynamic Analysis and the Development of Management Information System

With the background of severe rocky desertification in the west of China and the ohjective of ecological environment construction and poverty elimination, the management information system of rocky desertification was designed according to the natural and humane characteristics in Nanchuan of Sichuan Province. The system was composed of data management module, information query module for rocky desertification, spatial analysis module and dynamic monitoring module.

Optimal gateway deployment under different queuing mechanisms in smart grid

By optimizing the network topology, this paper proposes a newmethod of queuing theory clustering algorithm based on dynamic programming in a home energy management system（ HEMS）. First, the total cost of the HEMS system is divided into two parts, the gateway installation cost and the data transmission cost. Secondly, through comparing two kinds of different queuing theories, the cost problem of the HEMS is converted into the problem of gateway deployment. Finally, a machine-to-machine（ M2M） gateway configuration scheme is designed to minimize the cost of the system. Simulation results showthat the cost of the HEMS system mainly comes from the installation cost of the gateways when the gateway buffer space is large enough. If the gateway buffer space is limited, the proposed queue algorithm can effectively achieve optimal gateway setting while maintaining the minimal cost of the HEMS at desired levels through marginal analyses and the properties of cost minimization.

Barrier Structure Design for Fattening Pigs in Large-scale Pig House with Fermentation Bed

[Objective] The large-scale single-column fattening pig house with fermen- tation bed could hold 1 500 heads of fattening pigs. Since the number of pigs in piggery is too large, the management is difficult. The behavior of feeding, drinking, movement, sleeping, fighting of pigs is difficult to handle. The pigs cannot be man- aged well, resulting in the enhanced weakness of piglets, enhanced illness of weak pigs and missing treatment of ill pigs. The management for the pig populations is not satisfactory, and thus, it is needed to improve timely. [Method] The barriers for the fattening pigs in the large-scale pig house with fermentation bed were designed. The single management for single fattening pig was proposed. The large-scale fat- tening pig house was divided into 8 regions. Among them, 4 regions were located in both sides of the fermentation bed. Their main function was to separate ill, weak, small and bad pigs. In addition, the main column was divided into 4 gradual barri- ers. They were used to separate different-size fattening pigs. In view of manage- ment, the different-type pigs were managed dividedly with the gradual barriers. The equally-sized pigs were concentrated into one column. The ill, weak, small and bad pigs were isolated into barriers. Thus, the dynamic management was adopted. Until the fattening pigs grew up to 75 kg and their health was stable, the barriers among the columns were canceled to mix the pigs again and guarantee the pigs more gymnastic space. [Result] This design would improve the disease resistance of ill pigs, health status of weak pigs and management level of pig populations. This study would also provide a basis for the healthy running of large-scale fattening pig house with fermentation bed. [Conclusion] The pig-raising model with fermentation bed would improve the environment of pig house and the welfare of pigs. In addi- tion, the performance of pigs and quality of pork were also improved. The fermen- tation bed had an obvious advantage in safety and economics, and it had a broad application prospect.

Management of patients with sphincter of Oddi dysfunction based on a new classification

AIM: To propose a new classif ication system for sphincter of Oddi dysfunction (SOD) based on clinical data of patients. METHODS: The clinical data of 305 SOD patients documented over the past decade at our center were analyzed retrospectively, and typical cases were reported. RESULTS: The new classification with two more types (double-duct, biliary-pancreatic reflux) were set up on the basis of the Milwaukee criteria. There were 229 cases of biliary-type SOD, including 192 (83.8%) cases cured endoscopically, and 29 (12.7%) cured by open abdominal surgery, and the remaining 8 (3.5%) cases observed with unstable outcomes. Eight (50%) patients with pancreatic-type SOD were cured by endoscopic treatment, and the remaining 8 patients were cured after open abdominal surgery. There were 19 cases of double-duct-type SOD, which consisted of 7 (36.8%) patients who were cured endoscopically and 12 (63.2%) who were cured surgically. A total of 41 cases were diagnosed as biliary-pancreatic-reflux-type SOD. Twenty (48.8%) of them were treated endoscopically, 16 (39.0%) were treated by open abdominal surgery, and 5 (12.2%) were under observation. CONCLUSION: The newly proposed SOD classification system introduced in this study better explains the clinical symptoms of SOD from the anatomical perspective and can guide clinical treatment of this disease.

XPD Lys751Gln polymorphism and esophageal cancer risk: A meta-analysis involving 2288 cases and 4096 controls

AIM: To evaluate the association between xeroderma pigmentosum group D (XPD), genetic polymorphism Lys751Gln and esophageal cancer risk. METHODS: We searched PubMed up to September 1, 2010 to identify eligible studies. A total of 10 casecontrol studies including 2288 cases and 4096 controls were included in the meta-analysis. Statistical analysis was performed with Review Manage version 4.2. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of the association.RESULTS: The results suggested that there is no significant association between XPD Lys751Gln polymorphism and esophageal cancer susceptibility in the overall population. However, in subgroup analysis by histology type, a significant association was found between XPD Lys751Gln polymorphism and esophageal adenocarcinoma (for CC vs AA: OR = 1.25, 95% CI = 1.01-1.55, P = 0.05 for heterogeneity). CONCLUSION: Our meta-analysis suggested that XPD Lys751Gln polymorphism may be associated with increased risk of esophageal adenocarcinoma.

Micromorphological Analysis of Soil Structure under No Tillage Management in the Black Soil Zone of Northeast China

The structure of the ＂black soil＂ in Northeast China has been greatly deteriorated by long-term intensive conventional mouldboard plow tillage （CT） practices. In this study, micro- morphological observation and image analysis of soil thin sections were conducted to evaluate the impacts of 21 years （1986-2007） of no tillage （NT） on soil structure as compared to CT in an experiment near Gongzhuling City, Jilin Province. Soil organic matter （SOM）, wet aggregate stability and saturated hydraulic conductivity （Ks） were also analyzed. Total SOM was not significantly affected by tillage systems, but fresher SOM was observed in the surface layer under NT. The aggregates under NT showed different hierarchies in the form of crumbs, and the mean weight diameter （MWD） of NT was significant higher than that of CT in the surface layer. Platy and blocky aggregates were frequently observed in the lower layers under CT practice. The compound pore structure with intertwined intra- and inter- aggregates pores under NT was well developed in a layer from 0-5 cm to 20-25 era. While under CT system, more inter-aggregate pores and fewer intra- aggregate pores were observed, and planes and channels were frequently found in the 20-25 cm layer, where maeroporosity decreased significantly and a plow pan was evident. The Ks values of NT weresignificantly lower at o-5 cm but significantly higher at 20-95 cm compared with CT, which showed the same trend with macroporosity. These results confirmed that long-term CT practice fragmented the tillage layer soil and compacted the lower layer soil and formed a plow pan. While long-term NT practice in the black soil region favored soil aggregation and a stable porous soil structure was formed, which are important to the water infiltration and prevent soil erosion.

Resources publication and discovery in manufacturing grid

In the manufacturing grid＇s architecture, Resources Management System （RMS） is the central component responsible for disseminating resource information across the grid, accepting requests for resources, discovering and scheduling the suitable resources that match the requests for the global grid resource, and executing the requests on scheduled resources. In order to resolve the problem of resources publication and discovery in Manufacturing Grid （MGrid）, the classification of manufacturing resources is first researched after which the resources encapsulation class modes are put forward. Then, a scalable two-level resource management architecture is constructed on the model, which includes root nodes, domain nodes and leaf nodes. And then an RIMS is proposed, and the resources publication and discovery mechanism are detailedly described. At last, an application prototype is developed to show the validity and the practicability of the proved theory and method.

The RHSA Strategy for the Allocation of Outbound Containers Based on the Hybrid Genetic Algorithm

Secure storage yard is one of the optimal core goals of container transportation;thus,making the necessary storage arrangements has become the most crucial part of the container terminal management systems（CTMS）.This paper investigates a random hybrid stacking algorithm（RHSA） for outbound containers that randomly enter the yard.In the first stage of RHSA,the distribution among blocks was analyzed with respect to the utilization ratio.In the second stage,the optimization of bay configuration was carried out by using the hybrid genetic algorithm.Moreover,an experiment was performed to test the RHSA.The results show that the explored algorithm is useful to increase the efficiency.

An Adaptive Management Strategy of CQI Channel Allocation in IEEE 802.16 Systems

IEEE 802.16 systems adopt a "semi-dynamic" allocation mechanism of channel quality indicator (CQI) channels.However,low utilization ratio of CQI channels reduces the spectrum efficiency.So we propose an adaptive management strategy of CQI channels based on an analysis model named "toy brick model" to improve the efficiency.The simulation results validate the improvement.

Assessment of temporal and spatial variations in surface water quality using multivariate statistical techniques: A case study of Nenjiang River basin, China

Assessment of temporal and spatial variations in surface water quality is important to evaluate the health of a watershed and make necessary management decisions to control current and future pollution of receiving water bodies. In this work, surface water quality data for 12 physical and chemical parameters collected from 10 sampling sites in the Nenjiang River basin during the years(2012-2013) were analyzed. The results show that river water quality has significant temporal and spatial variations. Hierarchical cluster analysis(HCA) grouped 12 months into three periods(LF, MF and HF) and classified 10 monitoring sites into three regions(LP, MP and HP) based on the similarity of water quality characteristics. The principle component analysis(PCA)/factor analysis(FA) was used to recognize the factors or origins responsible for temporal and spatial water quality variations. Temporal and spatial PCA/FA revealed that the Nenjiang River water chemistry was strongly affected by rock/water interaction, hydrologic processes and anthropogenic activities. This work demonstrates that the application of HCA and PCA/FA has achieved meaningful classification based on temporal and spatial criteria.

Statistical Analytical Study of the Impact of Consumer Awareness Among the Students of the Faculty of Business Administration at the University of Kuwait in Consumer Protection and Its Relationship to Some Economic and Social Characteristics

Kuwaiti youth is an importam element in the field of development in the Kuwaiti society, especially in the field of self- consciousness and social consciousness incident. As always said, that young Gulf inherently consumerist element of first degree because of abundant liquidity and reasonable level of income compared to others of non - Gulf societies. Therefore, this research aims to study and analyze the impact of consumer awareness among the students of the Faculty of Business Administration in consumer protection in terms of the current role and hoped to guide consumption and its relationship to some economic and social characteristics of the consumers. In particular it has been studying the impact of some of the qualifications for heads of Kuwaiti families, their total monthly income and their place of residency inhabited by the expressive factors of consumer awareness in college students as well as their impact on the degree of preference for quality of consumer goods in being a low-price, median-price or expensive-price. In addition, it has been studying the relationship of these social variables noted with the role of government and consumer protection associations through what they are doing to develop laws and policies directed to develop and educate consumers. To achieve these goals, a special questionnaire has been prepared especially for this purpose has been met from a random sample of students from the University of Kuwait. I have been using the appropriate statistical analysis to study these goals. Thus, some of the appropriate suggestions and recommendations are obtained to achieve the objectives of this research.

Evaluation of Training Program for New Nurses to Enhance Caring Behavior

This research was aimed to evaluate the training program enhancing caring behaviors of new nurses by Kirkpatrick＇s four level for evaluation model： reaction, learning, behavior, and result of the program. The participants were new nurses, preceptors of new nurses, administrators, patients and members of the patients＇ family cared by new nurses. The research instruments were： （1） five questionnaires toward program suitability, knowledge, attitude, caring expression, and result to organization. The mean, standard deviation and dependent sample t-test were used for data analysis; （2） guidelines for focus group discussion and semi-structural questionnaire analyzed by content analysis. The study revealed that： （1） the mean of suitability was at the very high level （X = 4.49, SD. = .30）; （2） the knowledge and attitude after training were significantly higher than before training at .000 level, [t =-21.65, p = .000 and t = -19.30, p = .000）; {3} caring behavior after training was significantly higher than before training at the .000 level; and {4} the result of the program was at the high level { X = 4.25, SD. = .17}, related to the result of semi-structured interview and focus group discussion. These evaluation research finding suggested that administrators can use for improving the preparation of any project and apply to evaluate other training programs, developing human resource system.

Application of Laboratory Information Management System in Tea Pesticide Analysis Laboratory

The aim of this paper is to establish LIMS （laboratory information management system） for the tea pesticides analysis accredited laboratories in Taiwan. The LIMS could help Tungting station and Nantou pesticide inspection station to computerize the pesticide analysis data. It has completed eight management subsystems so far, including the basic information management subsystem, thesample processing management subsystem, the analysis data management subsystem, the analysis report management subsystem, the inspection standard management subsystem, the instrument connection management subsystem, the laboratory personnel training management subsystem and the laboratory quality document management subsystem. Using the automatic tea pesticide analysis information management system could help laboratory operations to reduce the amount of excess paperwork and human resource, which could ensure the analysis data quality is traceable and reliable.

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.

Statistical analysis of causes and countermeasures to the accidents in coal mines

Statistics and analysis was made in causes, places and proportions about all kinds of disasters and accidents in coal mines of China in resent 50 years. The analysis indicates the emphasis reason that result in the accidents in coal mines are artificial cause explosion of mash gas and coal dust, water flood, fire hazard. The accidents mostly happened on stope which is more often than other places, following by the driving work face. This not only supplies the managers with basic reference about safe administration, but also suggests the countermeasures in reducing accidents： improve the disposition of person, perfect all kinds of rules and regulations, severely investigate, analyze and deal with the accidents.

Research on the Development of SCM System for the Textile and Garment Industry Based on UML

This thesis systematically analyzes the essential structure of supply chain management system for the textile and garment industry based on UML. According to these analyses, an advanced, reasonable and practical preliminary system has been constructed to simulate the operation process and evaluate design standard of the supply chain.

Characteristics of Multipath Effects in GPS Dynamic Deformation Monitoring

ABSTRACT The multipath has long been considered a major error source in GPS applications .The characteristics 0f the GPS signal multipath effects are analyzed. based on which an experiment that considers the characteristics of dynamic deformation monitoring has been carried out. The solution results of observation data in two successive days are processed by a method,which combines the wavelet filtering and the differential correction betweentwo successive days. The research demonstrates that the multipath errors have stronger repeatability on successive days;after significantly mitigating the influence of multipath effects,the accuracy of three-dimensional positioning for GPS dynamic deformation monitoring can attain the mm level,an obvious accuracy improving particularly invertical component.The characteristics of GPS signal multipath,th eexperimental scheme and the qualitative and quantitative analysis of results are detailed.