Analysis of Ornidazole Injection in Clinical Use at Post-marketing Stage by Centralized Hospital Monitoring System

This study aims to analyze the clinical use of ornidazole injection at the post-marketing stage by centralized hospital monitoring system method,and investigate its widespread use in patients,in order to regulate and guide the rational drug use,improve the drug specificity and provide a basis for drug therapy.The study adopts a prospective,multi-center,large sample size,centralized hospital monitoring system.We selected five leading hospitals in Hubei province,and observed the inpatients who received the ornidazole injection from July 1,2015 to October 31,2015.The basic information of patients was recorded,as well as the drug use and adverse events.The statistical analysis was performed based on these data.A total of 4396 individuals were enrolled in this study,most of them were middle-aged female patients and the ornidazole injection was mainly used as prophylactic prior to surgery to prevent the infections,and surgical treatment of anaerobic infections,abdominal infections and pelvic infections.The irrational drug use existed mainly in the prescribing and administration process,including unreasonable dosing frequency,rapid intravenous drip speed and extended duration of drug use.Eleven cases of adverse reactions were collected during the monitoring,incidence rate of adverse reactions was 2.5‰;adverse drug reactions occurred within 30 min.The study results fully reflected the usage of ornidazole injection in the real world.Based on the study,we calculated the adverse reaction incidence of ornidazole and identified the risk factors which may affect the safety of ornidazole injection.Study results strongly recommend that the manufacturers should publish standards for inpatient use and doctors should prescribe with caution accordingly.

Managing Public Health Risks Using Air Monitoring at a Former Manufactured Gas Plant Site

Monitoring emissions from a former Manufactured Gas Plant (MGP) site during remediation was used to manage risks associated with inhalation of Volatile Organic Compounds (VOCs) and contaminated particulates acting as an exposure conduit for Polycyclic Aromatic Hydrocarbons (PAHs) and heavy metals. This risk management case study presents a USEPA-approved air monitoring program implemented to manage public health risks during remediation at a former MGP site located in the southeast United States. Risk-based Acceptable Air Concentrations (AACs) were developed and a sampling regimen established to monitor potential emissions to maintain contaminant concentrations below the AACs. The exposure duration used was based on a twelve-month project duration and an exposure time of 24 hours per day;equations, toxicity values and sources were based on USEPA’s Regional Screening Levels. A total 535 twenty-four hour time weighted samples (269 VOC samples and 266 PAH samples) were collected over the project duration. Only minor levels of VOCs and PAHs were detected and no results were above the AACs. These timeweighted averages demonstrate that the real-time air monitoring and control measures implemented at the site effectively maintained concentrations below the AACs and were protective of public health.

Thoughts of a travelling ecologist 14. Structure-function conflation in environmental risk assessment and monitoring

Recently,I attended a conference organised by the European Food Safety Authority in the beautiful and prosperous Italian city of Parma.The overall topic of the conference was risk assessment,and the program included a section on aspects of environmental risk assessment.In various areas,including the evalution of the effects of pesticide applications,invasive organisms or genetically modified plants(Arpaia et al.,2014)preparing an environmental risk assessment is an obviously relevant exercise.

Study of Commercial Bank Risk Monitoring Model in Individual Consumption Credit

With the development of individual consumption credit (ICC) in China, commercial banks have been exposed to more and more risks. The loan failure has been an important problem that the banking must face and revolve. This paper develops a factor system to explain how the borrower's risk is affected, and then establishes a risk monitoring model with AHP to pre-warn the banks how much the risk is.

The Role of the National Significant Seismic Monitoring and Protection Regions Institution:From the Perspective of the RiskSociety Theory

Earthquake disaster risk,as a typical social disaster risk,is one of the most important risks in modern Chinese society.This study gives definitions of the institution,describes the formation history,the connotations and development and analyzes its role in the control of major social risks caused by earthquakes.Finally,the paper presents recommendations for continuous improvement of this institution under the guidance of risk society theory,and for its application to the government reform and social governance.

Efficient Bayesian networks for slope safety evaluation with large quantity monitoring information

New sensing and wireless technologies generate massive data. This paper proposes an efficient Bayesian network to evaluate the slope safety using large-quantity field monitoring information with underlying physical mechanisms. A Bayesian network for a slope involving correlated material properties and dozens of observational points is constructed.

Fire monitoring in coal mines using wireless underground sensor network and interval type-2 fuzzy logic controller

From the view of underground coal mining safety system, it is extremely important to continuous monitoring of coal mines for the prompt detection of fires or related problems inspite of its uncertainty and imprecise characteristics. Therefore, evaluation and inferring the data perfectly to prevent fire related accidental risk in underground coal mining (UMC) system are very necessary. In the present article, we have proposed a novel type-2 fuzzy logic system (T2FLS) for the prediction of fire intensity and its risk assessment for risk reduction in an underground coal mine. Recently, for the observation of underground coal mines, wireless underground sensor network (WUSN) are being concerned frequently. To implement this technique IT2FLS, main functional components are sensor nodes which are installed in coal mines to accumulate different imprecise environmental data like, temperature, relative humidity, different gas concentrations etc. and these are sent to a base station which is connected to the ground observation system through network. In the present context, a WUSN based fire monitoring system is developed using fuzzy logic approach to enhance the consistency in decision making system to improve the risk chances of fire during coal mining. We have taken Mamdani IT2FLS as fuzzy model on coal mine monitoring data to consider real-time decision making (DM). It is predicted from the simulated results that the recommended system is highly acceptable and amenable in the case of fire hazard safety with compared to the wired and off-line monitoring system for UMC. Legitimacy of the suggested model is prepared using statistical analysis and multiple linear regression analysis.

Chinese public participation monitoring and warning system for geological hazards

In China,many geological hazards occurred in remote mountainous regions,and it was time-consuming to disseminate disaster information for the responsible parties to make timely judgements.Besides,only relying on professionals to monitor and manage disasters was demanding and costly.The Chinese government created a system to engage residents in the process of disaster risk management,namely’Public Participation Monitoring and Warning’(PPMW),to disseminate timely disaster information and bring down management costs.The objective of this system was to reduce casualties with minimum cost by organizing residents to evacuate from disasters in advance.This paper introduced the PPMW system,including its structure,operation mechanism by reviewing government documents and research articles,and its implementation by a case study of a landslide at Boli village(E 101°01’,N 27°29’),Yanyuan County,Sichuan Province,China on July 19th 2018.Further,this paper analyzed the strengths and limitations of the system and discussed its future development.It had the potential to become an affordable disaster risk management tool for other countries facing similar situations to China.

Biomarkers and a tailored approach for immune monitoring in kidney transplantation

A literature review on immune monitoring in kidney transplantation produced dozens of research articles and a multitude of promising biomarkers,all in the quest for the much sought after-but perennially elusive-"holy grail" of kidney biomarkers able to unequivocally predict acute transplant rejection vs non-rejection.Detection methodologies and study designs were many and varied.Hence the motivation for this editorial,which espouses the notion that in today's kidney transplantation milieu,the judicious use of disease classifiers tailored to specific patient immune risks may be more achievable and productive in the long run and confer a greater advantage for patient treatment than the pursuit of a single "omniscient" biomarker.In addition,we desire to direct attention toward greater scrutiny of biomarker publications and decisions to implement biomarkers in practice,standardization of methods in the development of biomarkers and consideration for adoption of "biomarker-driven" biopsies.We propose "biomarkerdriven" biopsies as an adjunctive to and/or alternative to random surveillance(protocol) biopsies or belated indication biopsies.The discovery of a single kidney transplantation biomarker would represent a major breakthrough in kidney transplantation practice,but until that occurs-if ever it does occur,other approaches offer substantial potential for unlocking prognostic,diagnostic and therapeutic options.We conclude our editorial with suggestions and recommendations for productively incorporating current biomarkers into diagnostic algorithms and for testing future biomarkers of acute rejection in kidney transplantation.

湖南省2023年5—6月跨省调入饲养用牛羊追溯调查与布鲁氏菌病监测

为评估分析外省份调入湖南省饲养用牛羊引入布鲁氏菌病(以下简称“布病”)的风险,对“湖南省动物卫生监督信息平台”2023年5—6月跨省调入饲养用牛羊开展监测排查,并就其来源、去向及布病检测结果等进行调查统计。结果显示:全省共调入饲养用牛羊270批次12850头/只,涉及19个省/自治区/直辖市,其中13个省份为原布病防控一类地区;有164批次牛羊来源于布病免疫区,占60.74%;有96批次牛羊实际用于继续饲养,占35.56%;采集牛羊血清样品1396份,检出布病抗体阳性7份。结果表明,湖南省存在牛羊布病输入性风险,应加大调运监管力度,减少牛羊布病从高风险地区向低风险地区传播的风险。

城市生命线安全运行风险监测及响应研究

本文介绍了城市生命线建设背景,分析其运行风险。阐述了城市生命线安全运行风险监测的感知系统及应用平台的构建。研究了风险预警的研判分析及协同处置流程,实现了风险事件及时高效的响应处置。

基于美欧医疗器械上市后法规要求对我国建立医疗器械警戒制度的思考

本文旨在深入探讨美国和欧盟的医疗器械上市后监管制度,包括风险监管理念、监管法规体系、上市后临床研究、质量管理体系等,总结出开发风险监测工具、落实风险管理、采用合并报告模式、公开风险信息等经验,为我国医疗器械行业有序发展提供参考。我国可以借鉴美欧医疗器械上市后的监管实践,从提高监管机构能力、建设监测哨点和强化法规框架等方面,建立和试点医疗器械警戒制度。

工作欠载对煤矿监检人员风险感知能力的影响研究

为探究煤矿监检人员工作欠载对风险感知能力的影响机制,首先引入无聊倾向和心智游移作为中介变量,构建四者的链式中介模型;然后采用工作欠载、无聊倾向、心智游移以及风险感知能力4种量表制成结构化问卷,定量研究263名煤矿监检人员问卷样本,并通过Pearson相关性分析和中介效应检验验证样本数据。结果表明:工作欠载直接负向影响煤矿监检人员的风险感知能力;工作欠载还会通过无聊倾向、心智游移的独立中介效应,以及无聊倾向和心智游移的链式中介效应影响人员的风险感知能力。因此,及时发现并干预监检人员的工作欠载、无聊倾向和心智游移情形,能够有效提升其风险感知能力,预防事故的发生。

黑龙江省农业微生物发展困境及振兴对策

农业微生物是农业生产、农产品加工、农业生物技术和农业生态环境保护等领域中应用的微生物的总称。它们在物质转化和能量循环中发挥着关键作用,并被认为是推动农业产业高质量发展的关键引擎。为实现农业微生物产业和科学研究的可持续发展,从推动农业微生物行业振兴的角度,阐述了农业微生物在应用领域、技术发展、资源保护和菌种保藏方面的研究现状,提出了农业微生物研究面临多方面的问题,包括知识产权风险、科研创新水平不高、监管监测体系不完善,以及缺乏农业微生物信息数据库等。从而提出了进一步加强黑龙江省农业微生物行业振兴的对策建议,即开展系统性科学攻关、加强生物安全实验室平台建设、促进形成产业集群、加强政策保障等。

基于PS-InSAR技术的晋城矿区地表形变监测及地质灾害风险预警

地表形变是一种严重的地质灾害现象,不仅严重影响灾害区居民的日常生活,而且会造成巨大的社会经济危害,尤其在采煤区。针对传统地表沉陷监测方法费时费力、无法获取地表沉降面状信息、难以进行地表沉陷灾害评估的不足,基于高分辨率SAR卫星影像,利用永久散射体合成孔径雷达干涉测量(PS-InSAR)技术对山西省晋城市晋城矿区2018年1月至2018年12月期间地表沉陷进行监测,分析获取了该地区地表连续形变情况,并利用该技术获取的海量PS点建立支持向量机(SVM)地质灾害风险评估预警模型,对晋城矿区周边居民点地质灾害风险进行了识别和预测。结果表明:晋城矿区10个煤矿及其周边区域存在较大的地表形变;晋城矿区平均LOS向年平均地表形变速率范围为-37~30.3 mm/a;PS-InSAR技术在晋城矿区地表形变监测中具有可行性,且可以实现矿区地质灾害风险综合识别和预警。

左氧氟沙星致心律失常的发生特点和危险因素分析

目的 了解大样本住院人群中左氧氟沙星致心律失常的发生特点、临床表现和相关危险因素。方法 借助“临床药品不良事件主动监测与智能评估警示系统-Ⅱ”(ADE-ASAS-Ⅱ),回顾性监测2019年使用左氧氟沙星的住院患者电子病历信息,获得发生心律失常患者的相关数据,采用倾向性评分匹配法选取未发生心律失常患者,通过单因素和多因素条件logistic回归分析左氧氟沙星导致心律失常的危险因素。结果12 879例使用左氧氟沙星人群的相关心律失常发生率为1.64%,其中65岁及以上人群发生率为3.22%;主要表现为期外收缩(0.84%)、心动过速(0.63%)、QT间期延长(0.44%),无尖端扭转型室性心动过速和室颤等严重心律失常。多因素条件logistic回归分析结果显示,用药疗程较长[OR=1.030,95%CI(1.009,1.050),P=0.004]和静脉给药[OR=2.392,95%CI(1.478,3.870),P <0.001]是左氧氟沙星致心律失常的独立危险因素。结论 左氧氟沙星引起的心律失常较为常见,分布类型多样,其中QT间期延长为偶见;临床应用时,应更多关注静脉用药的老年患者,并尽量避免长疗程用药。

企业基础信息设备的运行风险控制和具体应用

通过Zabbix监控系统,运维人员可以集中监控机房各类设备和系统软件的运行情况。一旦出現异常指标,运维人员可以及时进行针对性处理,大幅提高了运维效率。Zabbix监控系统还具备定制化设置监控项和数据可视化模板的功能,对特定需求有更好的针对性和扩展性。通过有效监控运雏中的凤险项,Zabbix监控系統为企业的科研和生产提供了强大的保障。

浙江省带土苗木传带红火蚁风险调查分析

带土苗木传带红火蚁Solenopsis invicta是导致红火蚁疫情进一步扩散蔓延的关键因素,摸清浙江省带土苗木传带红火蚁的风险,对其快速阻截与有效防控具有重要意义。2016年12月至2022年9月期间,本研究通过问询、目测踏查、诱饵诱集等监测方法,调查了浙江省11个地级市的39个区或县,包括251个苗圃地、26个花卉交易市场、576个档口的红火蚁发生情况。结果表明,龙血树Dracaena draco、玉兰Yulania denudata、山茶Camellia japonica、菜豆树Radermachera sinica、丝葵Washingtonia robusta、木犀Osmanthus fragrans、苏铁Cycas revoluta、樟Cinnamomum camphora、罗汉松Podocarpus macrophyllus、紫叶李Prunus cerasifera、加拿利海枣Phoenix canariensis、叶子花Bougainvillea spectabilis等是浙江省高风险传带红火蚁的带土植物种类。建议今后应该加大对该类带土苗木的检疫,快速发现并阻截红火蚁入侵。