Quantitative hepatitis B core antibody and quantitative hepatitis B surface antigen:Novel viral biomarkers for chronic hepatitis B management

The management of hepatitis B virus(HBV)infection now involves regular and appropriate monitoring of viral activity,disease progression,and treatment response.Traditional HBV infection biomarkers are limited in their ability to predict clinical outcomes or therapeutic effectiveness.Quantitation of HBV core antibodies(qAnti-HBc)is a novel non-invasive biomarker that may help with a variety of diagnostic issues.It was shown to correlate strongly with infection stages,hepatic inflammation and fibrosis,chronic infection exacerbations,and the presence of occult infection.Furthermore,qAnti-HBc levels were shown to be predictive of spontaneous or treatment-induced HBeAg and HBsAg seroclearance,relapse after medication termination,re-infection following liver transplantation,and viral reactivation in the presence of immunosuppression.qAnti-HBc,on the other hand,cannot be relied on as a single diagnostic test to address all problems,and its diagnostic and prognostic potential may be greatly increased when paired with qHBsAg.Commercial qAnti-HBc diagnostic kits are currently not widely available.Because many methodologies are only semi-quantitative,comparing data from various studies and defining universal cut-off values remains difficult.This review focuses on the clinical utility of qAnti-HBc and qHBsAg in chronic hepatitis B management.

Application of quantitative imaging in oncologic management

Medical imaging, such as computed tomography （CT）, magnetic resonance imaging （MRI） and positron emissiontomography （PET）, plays a vital role for the decision-making in oncologic management. In clinical practice, imaging-derivedtumor metrics are routinely applied in oncologic management as an imaging biomarker. For example, the ResponseEvaluation Criteria in Solid Tumors （RECIST） are commonly used for tumor treatment response evaluation based on thedynamic changes in tumor size. However, the current cross-sectional images are interpreted qualitatively for lesioncharacterization, treatment response evaluation and prognostic prediction by highly trained radiologists, which hasincreasingly apparent limitations. Therefore, there is a demanding shift toward more quantitative imaging interpretation.

A Method for Vulnerability Database Quantitative Evaluation

During system development,implementation and operation,vulnerability database technique is necessary to system security;there are many vulnerability databases but a lack of quality standardization and general evaluation method are needed.this paper summarized current international popular vulnerability databases,systematically introduced the present situation of current vulnerability databases,and found the problems of vulnerability database technology,extracted common metrics by analyzing vulnerability data of current popular vulnerability databases,introduced 4 measure indexes:the number scale of vulnerabilities,the independence level,the standardization degree and the integrity of vulnerability description,proposed a method for vulnerability database quantitative evaluation using SCAP protocol and corresponding standard,analyzed a large number of vulnerabilities in current popular vulnerability database,quantitative evaluated vulnerability database by the law of normal distribution,the experimental results show this method has strong versatility and science,and it is beneficial to improve the quality and standardization construction for vulnerability database development.

HRM and Quantitatives： Decision Tree and Vector Analysis in HRM Theory

Research topic of this paper is to discuss theory of Human Resources Management （HRM） and to discuss using of quantitative methods in HRM. Firstly, five variables establish HRM theory. They are HRM practices, positive organizational behaviors, individual performance, performance of business departments, and firm performance. Transactions among those variables enable Human Resources （HR） practitioners to apply HRM theory in their organizations. Secondly, this paper discusses use of quantitative methods in HRM. They are vector analysis and decision tree analysis. Those analyses enable HR practitioners to make effective HR decisions. Decision tree sets HR alternatives to efficiently implement HRM practices in organizations. Research question is how HR practitioners apply quantitative methods in department of HRM in firms. Finally this research comes out a conclusion that quantitative methods may be used in HRM.

Management strategy of prevention and control of nosocomial infection of COVID-19 in blood purification center

There are many patients in the blood purification center who need maintenance hemodialysis to maintain life. Those patients generally havelow resistance and are easily exposed to coronavirus because they go back and forth the hospital and residence three times a week andclosely contact with family, caregivers, community personnel, people in various means of transportation, medical staff, and other patientsvisiting hospital. Therefore, the blood purification center has become a high‑risk environment for the spread of COVID-19 infection. In viewof this, our center quickly responded to the formulation and implementation of infection prevention and control measures suitable for thecharacteristics of the blood purification center and continuous renal replacement therapy (CRRT) emergency plan for fever and suspectedpatients. According to these measures, we have a positive effect on preventing and controlling nosocomial infection in the blood purificationcenter.

A semi-quantitative coal burst risk classification system

Safety is the highest priority in the mining industry as underground mining in particular poses high safety risks to its workers. In underground coal mines, coal bursts are one of the most catastrophic hazards, which involves sudden and violent dynamic coal mass failure with rapid ejection of the broken material into the mine workings. Despite decades of research, the contributing mechanisms of coal bursts are still not completely understood. Hence, it remains challenging to forecast coal bursts and quantify their likelihood of occurrence. However, a range of geological and geotechnical factors are associated with coal bursts and can increase the coal burst proneness. This paper introduces a semi-quantitative coal burst risk classification system, namely, BurstRisk. Based on back-analysis of case histories from Australia, China and the United States, BurstRisk classifies the coal burst risk into three categories:low, medium and high risk. In addition, it allows mining engineers to modify the weighting of the selected factors based on specific conditions. The risk classification charts introduced are for both longwall retreat and development sections of long-wall mining operations. This paper also provides a set of risk management strategies and control measures for effective coal burst mitigation.

Research and Implementation of Architecture for Distributed Service Performance Management

An architecture for online discovery quantitative models system of service performance management is proposed. The system is capable of constructing the quantitative models without prior knowledge of the managed elements. The model can be updated continuously in response to the changes made in provider configurations and the evolution of business demands. Due to the existence of strong correlation between the distributed service metrics and response times, linear and hyper-linear quantitative models are constructed, which respectively, use stepwise multiple linear regression algorithm. The simulation results show the effectiveness of a quantitative model constructing system and model constructing algorithms.

Risk management in open cut coal mines

There are a number of geotechnical systems used at open cut operations of Anglo American's Metallurgical Coal business unit in Australia. These systems are mainly mine site specific, based on geological information and used as hazard plans. They are qualitative and reliant upon the experienced judgement of site based engineers and the general workforce. They are not suitable for calculating the associated risks of geological structures and mining responses. A uniform risk rating system that can be used to provide an unbiased, standard and quantifiable assessment of the risk from highwall and lowwall failures is therefore developed using the experience gained with such systems in Anglo American's South African operations. This system is a semi-quantitative risk rating system and takes into account the relative differences in the importance of hazards as experienced at each mine site as a result of different combinations of geotechnical factors and mining conditions. It is based on critical geotechnical and other parameters that have been identified by site mining engineers, geologists and geotechnical engineers. The primary advantage of this risk rating system is that all open cut mines in the Anglo American's Metallurgical Coal operations use a near identical system, which enables the user to compare the risk after each blast and with other mines. The system can be adjusted to meet local mine specific requirements. The implementation of this system, a computer program that automatically calculates the risks and recommends predetermined controls, has been made as practical and as easy to use as possible. This program can be used by personnel from other mining disciplines not directly related to geotechnical engineering.

Quantitative Security Evaluation for Software System from Vulnerability Database

This paper proposes a quantitative security evaluation for software system from the vulnerability data consisting of discovery date, solution date and exploit publish date based on a stochastic model. More precisely, our model considers a vulnerability life-cycle model and represents the vulnerability discovery process as a non-homogeneous Poisson process. In a numerical example, we show the quantitative measures for contents management system of an open source project.

Advantages and Disadvantages of Quantitative and Qualitative Information Risk Approaches

Due to rapidly development of information systems, risk and security issues have increased and became a phenomenon that concerns every organization, without considering the size of it. To achieve desired results, managers have to implement methods of evaluating and mitigating risk as part of a process well elaborated. Security risk management helps managers to better control the business practices and improve the business process. An effective risk management process is based on a successful IT security program. This doesn＇t mean that the main goal of an organization＇s risk management process is to protect its IT assets, but to protect the organization and its ability to perform their missions. During this process, managers have to take into consideration risks that can affect the organization and apply the most suitable measures to minimize their impact. The most important task is choosing the best suited method for analyzing the existing risk properly. Several methods have been developed, being classified in quantitative and qualitative approaches of evaluating risk. The purpose of this paper is to present the advantages and disadvantages of each approach taking current needs and opportunities into consideration.

公立医院行风建设指数定量评价体系构建研究

目的:从医院管理视角引入指数定量评价体系,用形象、具体且高度凝练的指标和评价要点来描述公立医院的行风建设工作。方法:立足当前公立医院行风建设管理中重点督查的关键领域,围绕落实主体责任、完善制度建设等5个维度,设计定量与定性相结合的行风建设指数评价模式。结果:构建了适用于公立医院临床科室的数字化行风建设指数评价机制,划定评价周期并实行动态管理,实现对行风建设发展问题的精准定位和对行风监督工作具体实施情况的有效全面评估。结论:本研究客观评价医德医风水平和医院行风建设管理现状,有助于综合理解和客观评估复杂的管理行为,为未来数字医院的横向管理与纵向规划提供了有效的战略改进支撑,有助于推动现代化医院行风治理的标准化、精细化和信息化发展。

中国超大城市运行管理现代化:体征指标与量化评价

超大城市具有经济基础好、人口密度高、运行强度大和管理幅度宽等特征,是中国国家治理体系和治理能力现代化建设的核心载体和重要基石,其运行管理现代化是我国探索科学、高效和可持续的新型城市化战略的根本保障。基于对超大城市的概念界定和特征阐释,从管理组织结构、综合统筹体系、专项业务能力和社会参与机制等四个维度,构建中国超大城市运行管理现代化的业务范畴与内容体系。依据数据可量化性、可得性、代表性,通过筛选关键指标、确定权重以及标准化和无量纲化处理等步骤,初步构建中国超大城市运行管理现代化指数。基于此,对北京、上海、广州和深圳等四个超大型城市进行运行管理现代化指数分项评价。结果显示,四个超大城市之间各具优势、互有长短,在综合评价中北京排名第一,上海、广州和深圳位列其后。作为一个典型巨系统,中国超大城市运行管理现代化的实现需要顶层设计、周延规划、规范标准和法律保障等前置条件。可以通过技术赋能、信息共享和互联互通等途径,提高城市运行管理现代化的整体效能。此外,应加强分工协作,引导社会多元利益主体深度参与,通过提升业务能力实现中国超大城市治理现代化。

基于PLC控制器的纸页水分QCS管理系统设计

为实现针对纸页水分定量工艺的自动化管理,基于PLC控制技术提出了一项纸页水分QCS管理系统。通过PLC控制平台对纸页定量水分控制回路中的各项设备进行自动化控制,并采用TIA Portal V16组态工具建立可视化图形操作界面,进而形成一套完整的纸页水分自动化管理系统。为验证纸页水分QCS管理系统的可行性,对其进行仿真试验分析。经试验研究发现,该系统的水分定量超调时间在6%以下,调节时间在15s以下,数据处理性能良好,界面操作直观,具有一定的应用价值。

“双碳”背景下医院住院病人水控管理系统的定量分析——以某三甲医院2019-2022年数据为例

针对医院在“双碳”目标下管理和控制住院病人洗澡用水的问题进行了深入研究,通过整理某三甲医院2019-2022年的水控数据,定量分析了住院病人的用水情况,并评估了各种因素对用水量的影响。研究结果表明,即使在严格落实“一床一陪护”制度的今天,水控系统仍然能够显著降低住院用水,同时日间手术量、床位周转率等指标也与住院患者用水量有相关性。提出与运用的定量分析模型对医院精细化管理有积极意义,提供了对病区管理评价的新工具。

农业科研院所管理岗位绩效考核指标体系研究

管理岗位是农业科研院所不可或缺的重要力量,对农业科技创新和发展有着重要的推动作用。针对当前农业科研院所管理岗位绩效考核的现实需求,在系统梳理国家相关政策和科研院所管理工作要求的基础上,基于农业科研院所性质和工作内容,采用系统分析、专家访谈等方式,确定农业科研院所管理岗位绩效考核关键指标,验证了各级指标的重要性和专家意见集中度,构建出包含4项一级指标、13项二级指标、25项三级指标的农业科研院所管理岗位绩效量化考核指标体系。在此基础上,采用层次分析法、问卷调查等方法确定指标体系权重,为农业科研院所制定管理岗位绩效评价和相关政策提供有效的借鉴和参考。

三工河小流域泥石流生态—岩土工程调控措施减缓土壤侵蚀的定量研究

为探讨泥石流治理措施对小流域土壤侵蚀的影响,以天池上游三工河流域为研究对象,在实地考察的基础上,通过地形图叠加、遥感解译和Google Earth Engine(GEE)云计算等手段,实测计算了该流域1971~2003年、2008~2020年两期土壤侵蚀模数,定量评估了在该流域开展的泥石流生态—岩土工程调控措施对小流域生态和土壤侵蚀的影响。研究发现:(1)三工河流域平均植被覆盖度经泥石流综合治理后增加11.34%,高植被覆盖度面积增加16.93%,泥石流沟道及河谷的植被覆盖度明显提升;(2)三工河流域1971~2003年平均侵蚀模数为0.34 mm/a,较北天山山地流域同期平均侵蚀速率高出131%,造成该现象的原因是过度放牧、滥砍滥伐等人为因素激发山洪泥石流的爆发导致流域生态环境恶化;(3)流域经生态—岩土工程调控后(2008~2020年),平均侵蚀模数降低至治理前的15%(0.051 mm/a),为北天山地区山地流域同期平均侵蚀模数的34%。

钻井安全监督周报量化管理初探

钻井作为石油勘探开发的关键环节,安全监督管理并及时报告是作业正常进行的重要保障。传统的钻井安全监督管理主要包括人员检查及安全评估,对安全状况依靠人工判断,效率不高,主观性强。通过量化管理,能够更全面、精准地评估钻井作业中的风险,采取相应的措施来保障人员安全。探索建立基于量化管理的钻井安全监督周报,分析钻井安全监督周报的内容和指标选择,包括巡检情况统计、问题发现与处理情况、安全培训和教育情况以及安全和环保指标监测等,建立数据分析和指标评估的基础平台,有利于提高钻井安全管理工作的科学性和有效性。

医疗设备采购量化评估体系在医院物资配置管理中的价值研究

目的:构建医疗设备采购量化评估体系,探讨其在医院物资配置管理中的应用价值。方法:基于理论调研和现场评估,从临床需求、技术水平、采购流程和服务能力4个层面制定评估指标体系,采用协方差-层次分析法(Cov-AHP)进行医疗设备采购流程的量化评估,并制定“6段式”医疗设备采购优化流程。选取2019年8月至2023年7月北京市顺义区医院采购的257台医疗设备,对257台医疗设备分别采用专家论证配置模式(126台)和量化评估配置模式(131台)进行医疗设备物资配置管理,对比两种模式医疗设备采购过程的规范性、绩效目标有效性和临床服务满意度。结果:采用量化评估模式的医疗设备在启动、论证、执行、安装和使用阶段的采购流程规范度分别为(98.42±2.83)%、(98.97±2.45)%、(96.24±3.87)%、(96.42±2.54)%和(94.82±5.31)%,均高于专家论证模式,其差异有统计学意义(t=3.741、4.385、6.551、7.620、4.563,P<0.05);量化评估模式的医疗设备采购的质量指标、进度指标、社会效益指标和成本效益指标达成率分别为(96.15±4.08)%、(96.41±2.37)%、(92.77±3.89)%和(93.06±4.33)%,均高于专家论证模式,其差异有统计学意义(t=4.156、4.562、5.014、4.069,P<0.05);量化评估模式的医疗设备相关使用人员对大型医疗设备、生命支持与急救设备、实验室检验设备、手术治疗设备和其他医疗设备的临床使用满意度评分分别为(90.24±1.89)分、(93.45±2.64)分、(95.67±3.64)分、(93.82±2.55)分和(97.25±3.89)分,均高于专家论证模式,其差异有统计学意义(t=3.678、4.079、2.845、3.628、5.023,P<0.05)。结论:量化评估体系可以规范医疗设备采购流程,提升医疗设备采购绩效目标达成率,改善医疗设备临床服务水平。

城轨接触网动态运行质量评价指标CDI数学模型研究

接触网作为城市轨道交通牵引供电系统重要组成部分,通过与受电弓滑动接触为电客车提供持续稳定电能,因此其动态运行质量对线路安全运营至关重要。目前,城市轨道交通行业内接触网设备管理仍然以传统静态几何参数阈值管理方式为基础,仅能对接触网静止时的状态进行确认,较难针对带负荷工况下接触网动态性能及弓网关系进行分析。本文应用已相对成熟的车载弓网3C动态检测技术,综合考虑影响弓网动态关系的各项参量,在国家或行业标准、企业精修标准基础上,开展城市轨道交通接触网动态运行质量评价指标CDI研究,旨在构建一套科学、完善的设备动态质量评价体系与标准,将接触网动态性能进行直观量化评估,便于对服役设备的管理。

金融工程在量化投资策略中的应用

文章主要探讨金融工程在量化投资策略中的应用。首先,介绍了金融工程在量化投资策略中的重要性和作用,然后阐述了量化投资策略的原理与技术。接着,详细分析了金融工程在量化投资策略中的应用,包括股票市场分析、金融风险管理、投资组合优化、市场流动性分析和金融创新等方面。最后,总结了金融工程在量化投资策略中的贡献和未来的发展趋势。