Risk Management of Clinical Reference Dosimetry of a Large Hospital Network Using Statistical Process Control

Managing TG-51 reference dosimetry in a large hospital network can be a challenging task. The objectives of this study are to investigate the effectiveness of using Statistical Process Control (SPC) to manage TG-51 workflow in such a network. All the sites in the network performed the annual reference dosimetry in water according to TG-51. These data were used to cross-calibrate the same ion chambers in plastic phantoms for monthly QA output measurements. An energy-specific dimensionless beam quality cross-calibration factor, , was derived to monitor the process across multiple sites. The SPC analysis was then performed to obtain the mean, , standard deviation, σk, the Upper Control Limit (UCL) and Lower Control Limit (LCL) in each beam. This process was first applied to 15 years of historical data at the main campus to assess the effectiveness of the process. A two-year prospective study including all 30 linear accelerators spread over the main campus and seven satellites in the network followed. The ranges of the control limits (±3σ) were found to be in the range of 1.7% - 2.6% and 3.3% - 4.2% for the main campus and the satellite sites respectively. The wider range in the satellite sites was attributed to variations in the workflow. Standardization of workflow was also found to be effective in narrowing the control limits. The SPC is effective in identifying variations in the workflow and was shown to be an effective tool in managing large network reference dosimetry.

A Novel Method for Assessing and Optimizing Software Project Process Based Risk Control

A new approach for assessing and optimizing software project process based on software risk control presented, which evaluates and optimizes software project process from the view of controlling the software project risks. A model for optimizing software risk control is given, a discrete optimization algorithm based on dynamic programruing is proposed and an example of using above method to solve a problem is also included in this paper. By improving the old passive post-project control into an active effective preaction, this new method can greatly promote the possibility of success of software projects.

Enhancing Software Process Management through Control Charts

In software development life cycle, Software Process Management (SPM) acts as a significant part throughout the execution of project. In this study, the application of control chart for analyzing the stability of software process and defects in the software product is discussed. This paper will discuss the analyzing impact or collision of rework effort, defect density, inspection performance and productivity by using control charts. This paper also explains the benefits and challenges of using control charts in software organization.

Recovery Planning and Management Control System in Company Crisis

The main goal of this paper is to analyze situations of financial crisis in Italian companies. The analysis has also been focused on the company＇s attitude to overcome the financial crisis. Secondly, the authors have analyzed if the recovery project has required the introduction of a new management control system or changes to the existing management control system. The methodology is composed of several steps. First of all, the authors have analyzed the existing literature. Secondly, the authors have referred to a sample of 98 Italian recovery projects formalized by Italian private companies. The analysis of the literature and the recovery projects permits to achieve some provisional results, which have been tested through surveys. The methodology approach is inspired by the grounded theory. The findings have been several： （1） The crisis is a usual event in the lifecycle of a firm, due to a deterioration of its strength and a change of the context; （2） The timing factor has played a fundamental role in managing the crisis situation, because a late identification of the symptoms or a minimization of them can generate an irreversible situation; and （3） In addition, a recovery project includes the introduction of a new management control system or changes to the existing management control system. These new or modified management control systems use ＂feed-forward＂ mechanisms, which make early predictions about the changes in the characteristics of the competitive framework.

Research on Quality Management Measures of Green Building Construction

Urbanization has led to the rapid development of the construction industry.However,this has also led to higher requirements for the construction engineering management.Other than the quality monitoring of engineering construction,the energy-saving properties of the building should also be considered.Therefore,a scientific management approach should be adopted to improve green building management.This paper primarily examines the importance of quality management in green building construction,along with the factors influencing it.It also identifies the quality issues present in current green building construction.Finally,it proposes measures for quality management in the green building construction process to facilitate the industry’s healthy development.

What to Cache：Differentiated Caching Resource Allocation and Management in Information-Centric Networking

Information-centric networking(ICN) aims to improve the efficiency of content delivery and reduce the redundancy of data transmission by caching contents in network nodes. An important issue is to design caching methods with better cache hit rate and achieve allocating on-demand. Therefore, an in-network caching scheduling scheme for ICN was designed, distinguishing different kinds of contents and dynamically allocating the cache size on-demand. First discussing what was appropriated to be cached in nodes, and then a classification about the contents could be cached was proposed. Furthermore, we used AHP to weight different contents classes through analyzing users' behavior. And a distributed control process was built, to achieve differentiated caching resource allocation and management. The designed scheme not only avoids the waste of caching resource, but also further enhances the cache availability. Finally, the simulation results are illustrated to show that our method has the superior performance in the aspects of server hit rate and convergence.

Safer Design and Less Cost Operation for Low-Traffic Long-Road Illumination Using Control System Based on Pattern Recognition Technique

The paper covers analysis and investigation of lighting automation system in low-traffic long-roads. The main objective is to provide optimal solution between expensive safe design that utilizes continuous street lighting system at night for the entire road, or inexpensive design that sacrifices the safety, relying on using vehicles lighting, to eliminate the problem of high cost energy consumption during the night operation of the road. By taking into account both of these factors, smart lighting automation system is proposed using Pattern Recognition Technique applied on vehicle number-plates. In this proposal, the road is sectionalized into zones, and based on smart Pattern Recognition Technique, the control system of the road lighting illuminates only the zone that the vehicles pass through. Economic analysis is provided in this paper to support the value of using this design of lighting control system.

Semantic model and optimization of creative processes at mathematical knowledge formation

The aim of this work is mathematical education through the knowledge system and mathematical modeling. A net model of formation of mathematical knowledge as a deductive theory is suggested here. Within this model the formation of deductive theory is represented as the development of a certain informational space, the elements of which are structured in the form of the orientated semantic net. This net is properly metrized and characterized by a certain system of coverings. It allows injecting net optimization parameters, regulating qualitative aspects of knowledge system under consideration. To regulate the creative processes of the formation and realization of mathematical know- edge, stochastic model of formation deductive theory is suggested here in the form of branching Markovian process, which is realized in the corresponding informational space as a semantic net. According to this stochastic model we can get correct foundation of criterion of optimization creative processes that leads to “great main points” strategy (GMP-strategy) in the process of realization of the effective control in the research work in the sphere of mathematics and its applications.

Multiperspective Representation of Internal Controls in Business Processes

The internal control process, which is designed to help an organization accomplish specific control objectives, is one of the most important processes, as it can determine whether or not the organization is in compliance with its internal or external requirements. Internal controls emerge from different perspectives. Currently, experts view and act on one control perspective at a time, which creates inefficiencies and duplication. This software engineering research is aimed at proposing a multiperspective framework for representing internal controls, in order to obtain a centralized and comprehensive view of all internal control mechanisms. To carry out this research, we also needed to represent the many different stakeholder perspectives of internal controls. Based on a literature review of mathematical and psychological analysis, we searched for the most suitable multiperspective representation of internal controls, and assessed the many representation options using the AHP (analytical hierarchical process) sensitivity analysis approach. This approach has been applied to a study group which has been called to answer to a questionnaire.

Application of MES System in Offshore Oil and Gas Field Production Management

In order to solve information island problem of offshore oil and gas field production-related information system,including repetitive reporting and input of data,data isolation of central control system,inadequate follow-up analysis and development to support oil and gas field production management,and so on.Therefore,the introduction of MES(Manufacturing Execution System)production execution system in the manufacturing industry and downstream production of offshore oil has become an inevitable choice.This system utilizes the real-time database combined with relational database to collect the scattered structured data,such as the production process real-time data,production management documents and statistical tables of offshore oil and gas production facilities.It establishes a unified data center platform for each operation area and production site,so as to centralize the related production management data at production sites.This system realizes many functions,including the production management support like production report generation as well as presentation and POB,equipment management support like PM optimization,remote configuration and monitoring of production operation,status trend analysis,and production event prediction.The implementation of MES system in offshore oil and gas field production management perfects the overall information system of China National Offshore Oil Corporation more and gradually enhances its comprehensive benefits.

History and General Characteristics of the Adaptive Control System of the Deuterium Pre-concentration Stage in Heavy Water Production

The history of creation in 1971–1975 years at SDB MMS of the Institute of Cybernetics (Kyiv city) the control system for the deuterium pre-concentration stage in heavy water production at Dneprodzerzhinsk chemical plant (now Kamianske city, PJSC “DneprAzot”) is considered. It is given a technological block-diagram of the stage with its components and block-diagram of ACSTP which was developed in consequence of investigations of this complex managed object. A mathematical model of the distillation columns in the separating units of hydrogen isotopes which was used for synthesis of an algorithm of the adaptive stochastic optimal system with active accumulation of information about managed probabilistic processes is described. The results of the carried out tests of the system confirmed its efficiency.

基于信息化理念的研究生管理流程改革与实践——以中国地质大学(北京)为例

信息化是提高研究生管理水平的重要手段。笔者以中国地质大学(北京)研究生培养流程为研究对象,梳理以往管理过程中出现的信息盲区、漏洞和主要问题,改变传统的以信息化手段模拟管理流程的方法,提出以信息化理念和手段构建新的管理模式,提升管理水平。改变以培养计划为核心的单线管理流程,建立了培养计划、排课选课、成绩查询三线并行的新式管理流程。近几年的实践表明,优化后的管理流程提升了管理水平,提高了工作效率,极大方便了广大师生,在研究生培养方面每年减少70%以上的工作量,适应了学校研究生全过程-全方位开放式育人模式的新要求,取得了较好的应用效果。

研究型医院临床研究全流程质量控制的构建与运行

研究型医院开展的临床研究项目越来越多。通过对研究型医院开展的临床研究进行包括立项前、实施中、结题后等多角度、全流程的质量控制,可以及时识别临床研究中存在的风险或潜在风险因素,实时评估并解决质量问题,避免发生重大临床研究问题的可能性。研究型医院通过全流程质控过程中及时主动发现问题,确立协调机制、优化沟通流程,减少研究项目质量问题的发生,持续完善临床研究的质量管理体系,保证研究合规、数据完整准确,提升研究结论的可靠性。

因天气影响的航空器绕飞管制安全评估及策略分析

为降低航空器在绕飞情况下管制指挥事故的风险,采用事故树分析法(fault tree analysis, FTA)和层次分析法(analytic hierarchy process, AHP)相结合的方式对管制员在进行绕飞管制时发生指挥事故建立综合风险评估模型并制定风险管控措施,以及验证所提管控措施的有效性。首先对各风险因素进行逐层分析,找出其关联性,建立绕飞管制指挥事故的事故树模型。以此为基础,结合层次分析法,确定各层风险指标权重。同时依据各指标总权重的排序结果,提出了在绕飞情况下管制指挥事故的管控措施,最后以长沙区域管制空域为实例对所提方案进行验证。结果表明:在本文方案下虽然雷雨、风切变、协调程序过于复杂和航空器偏离计划航路仍然是导致绕飞管制事故的重要因素,但其重要程度下降了6.2%,且成熟管制员人数不足、扇区流量大和预案频繁发生变化的状况得到有效解决。证明了该方案能够有效抑制导致绕飞管制指挥事故发生的事件的重要程度,减少因极端天气和扇区负荷过大而出现的安全风险事故,整体提高管制系统的稳定性和可靠性。

循环质控理念联合风险管理模式在ICU住院患者中的应用

目的探讨重症监护室(intensive care unit,ICU)住院患者中应用循环质控理念联合风险管理模式的效果。方法选取2023年1—5月寿光市人民医院ICU住院患者335例作为对照组,实施常规医院感染管理;选取2023年6—12月ICU住院患者340例作为干预组,实施循环质控理念联合风险管理模式。比较2组管理质量、风险事件、医院感染发生率及患者满意度。结果干预组管理质量(感染监测、组织管理、风险评估、制度建设)评分高于对照组(P<0.05);干预组风险事件发生率(1.47%)低于对照组(4.48%)(P<0.05);干预组医院感染发生率(3.82%)低于对照组(7.46%)(P<0.05);干预组患者满意度(98.24%)低于对照组(95.52%)(P<0.05)。结论循环质控理念联合风险管理模式应用于ICU住院患者中,可提高管理质量,减少风险事件与医院感染发生,促进患者满意度提升,体现了《ICU十大安全目标》的执行标准。

云南青牛胆栽培管理技术

通过对云南青牛胆繁殖技术、田间管理、病虫害防治、采收加工技术的操作实践总结,探讨云南青牛胆栽培管理技术,为金果榄药材规模化和规范化生产提供技术参考。

山西农业大学综合教学楼工程全过程管理与质量控制探讨

工程项目管理和质量控制一直是建筑工程建设关注的核心。以山西农业大学综合教学楼为例,对建筑工程项目质量管理和质量控制体系,以及工程质量控制策略及实践进行探讨,以丰富建筑工程项目管理和质量控制的实践。

专病照护理念品管圈管理对甲状腺日间手术患者的影响

目的:探讨专病照护理念品管圈管理对甲状腺日间手术患者的影响。方法:将2021年9月1日~10月31日100例拟行甲状腺日间手术患者纳入对照组,采用常规护理;将2021年11月1日~12月31日100例拟行甲状腺日间手术患者纳入实验组,实施专病照护理念品管圈管理;比较两组患者围术期恐惧[采用恐惧视觉模拟评分法(FAVS)]、出院准备度[采用出院准备度量表(RHDS)]、出院指导质量[采用出院健康指导质量量表(QDTS)]、并发症发生率、住院时间。结果:实验组不同时间FAVS评分低于对照组(P<0.05);实验组出院前RHDS评分、QDTS中出院前实际获得内容和出院指导技巧评分以及总分高于对照组(P<0.05);实验组并发症发生率低于对照组(P<0.05),住院时间短于对照组(P<0.05)。结论:专病照护理念品管圈管理可缓解甲状腺日间手术患者围术期恐惧心理,提高出院准备度和出院指导质量,缩短患者住院时间,减少术后并发症发生。

基于绿色市政基础设施理念的城市绿色供水探索

在新发展理念指引下,绿色市政基础设施建设已成为我国城市发展的必然趋势,城市供水系统是市政基础设施中重要的一部分,如何走高质量绿色发展之路是面临的突出问题。提出了市政基础设施绿色发展理念及基本定位,基于绿色市政基础设施的概念,揭示了城市绿色供水系统安全、高效、低碳、生态、智慧的绿色理念和内涵,构建了城市供水系统绿色核心评价指标体系和评价方法,总结凝练了绿色供水保障技术,用以引领和指导城市绿色供水设施的规划设计和建设运维服务。

基于深度学习的融合流程多视角行为分析:预测业务流程监控

预测性业务流程监控(PBPM)是业务流程管理(BPM)中的一个重要研究领域,旨在准确预测未来的行为事件。目前,PBPM研究中广泛引用了深度学习方法,但大多数方法只考虑单一的事件-控制流视角,无法将属性-数据流视角与之结合进行流程预测。针对这一问题,提出了一种基于双层BERT神经网络和融合流程多视角行为分析方法(简称FMP框架)。首先,基于第一层BERT学习属性-数据流信息;接着,基于第二层BERT学习事件-行为控制流信息;最后,通过FMP框架融合数据流和控制流实现多维视角流程预测。在真实的事件日志中的实验结果表明,相比其他研究方法,基于FPM框架预测下一个事件的活动精度更高。这证明融合流程多视角的FMP框架能够更全面、更深层次地分析复杂的流程行为,并提高预测的性能。