Improvement of the nutritional support management system for patients in intensive care units

BACKGROUND Nutritional support for patients hospitalized in the intensive care unit(ICU)is an important part of clinical treatment and care,but there are significant implementation difficulties.AIM To introduce a modified nutritional support management system for ICU patients based on closed-loop information management and psychological counseling.METHODS The division of functions,personnel training,system construction,development of an intelligent decision-making software system,quality control,and improvement of the whole process were carried out to systematically manage nutritional support for ICU patients.RESULTS Following the implementation of the whole process management system,the scores of ICU medical staff’s knowledge,attitudes/beliefs,and practices regarding nutritional support were comprehensively enhanced.The proportion of hospital bed-days of total enteral nutrition(EN)in ICU patients increased from 5.58%to 11.46%,and the proportion of EN plus parenteral nutrition increased from 42.71%to 47.07%.The rate of EN initiation within 48 h of ICU admission increased from 37.50%to 48.28%,and the EN compliance rate within 72 h elevated from 20.59%to 31.72%.After the implementation of the project,the Self-rating Anxiety Scale score decreased from 61.07±9.91 points to 52.03±9.02 points,the Self-rating Depression Scale score reduced from 62.47±10.50 points to 56.34±9.83 points,and the ICU stay decreased from 5.76±2.77 d to 5.10±2.12 d.CONCLUSION The nutritional support management system based on closed-loop information management and psychological counseling achieved remarkable results in clinical applications in ICU patients.

A review of closed-loop reservoir management

The closed-loop reservoir management technique enables a dynamic and real-time optimal production schedule under the existing reservoir conditions to be achieved by adjusting the injection and production strategies. This is one of the most effective ways to exploit limited oil reserves more economically and efficiently. There are two steps in closed-loop reservoir management： automatic history matching and reservoir production opti- mization. Both of the steps are large-scale complicated optimization problems. This paper gives a general review of the two basic techniques in closed-loop reservoir man- agement; summarizes the applications of gradient-based algorithms, gradient-free algorithms, and artificial intelligence algorithms; analyzes the characteristics and application conditions of these optimization methods; and finally discusses the emphases and directions of future research on both automatic history matching and reservoir production optimization.

Closed-loop prevention and control research of coal mine safety management

According to the current problems of safety management processes in coalmine enterprises,we introduced barrel theory to coal mine safety management,constructedthe closed-loop structure of a coal mine safety management system,andpointed out that efficient safety management lies in three factors:safety quality of all ofthe staff in coal mine enterprises,weak links in security management systems,and cooperationamong departments.After conducting detailed analysis of these three factors,we proposed concrete ways of preventing and controlling potential safety hazards duringthe process of coal mine production.

Improving the Performance of Urban Waste Management Systems in the Context of a Closed-Loop Supply Chain

The saving of non-renewable energies, as well as the reduction of emissions into the environment, are two crucial objectives of industrial production. The recovery of post-consumer products associated with the use of end-of-life products is part of a context of optimization of these objectives. This recovery maximizes the use of resources from end-of-life products in a circular logic while recording the environmental footprint. This study considers a recycling strategy adapted to the need and urgency to reduce greenhouse gas emissions caused by global warming. The proposed model aims to optimize the profits of the circular manufacturing strategies while minimizing operational costs (collection, sorting, recycling), transport, GHG emissions and recycling. In this paper, a compromise between the gains of CM and the costs associated with it was studied. The robustness of the designed model was tested using a case study based on real-world scenarios. A sensitivity analysis was carried out to study the impact of the emission cost on the overall objective, considering the two options currently offered to industries. The obtained results support companies to take the ecological aspect into account and integrate sustainable development into their strategic axes for their logistics supply chains.

基于LSTM-SAE网络的隧道内机电设备智能监控系统设计

对隧道机电设备的监控和寿命预测方法进行研究,并与传统方法进行对比。使用LSTM-SAE网络进行设备寿命的预测,并开展智能监控工作,首先确定设备剩余寿命的特征因子,对噪声进行了平滑处理,并进行数据的归一化,然后基于LSTM进行设备的寿命预测,针对LSTM的不足,引入SAE稀疏编码器进一步提升网络预测的精确性,建立LSTM-SAE网络进行预测。建立B/S结构的监控系统,使用以太网连接服务端和浏览器端,建立拥有状态监测模块、故障处理统计模块、寿命分析预测模块的控制系统。最后对电池寿命进行预测,BP神经网络预测、支持向量机预测、贝叶斯预测和线性回归预测进行对比,证明系统具有较高准确性,MAE、RMSE、SF值分别为8.68、9.23、39.12,具有较高准确性。研究实现了LSTM和SAE的融合,相比传统BP网络更加准确,能够满足隧道机电设备预测的特殊需求。

基于SAEJ1939协议的车用燃料电池管理系统设计

采用汽车级单片机MC912XEP100作为主控芯片,依据SAE J1939通讯协议标准,完成了车用燃料电池管理系统的单膜电压检测单元和电堆主控单元硬件电路设计和软件程序设计,开发了基于SAE J1939的多路CAN总线通讯程序,并通过样机验证了设计。

Chemically Mediated Interactions between Grapevine, Aphid, Ladybird, and Ant in the Context of Insect Chemical Ecology

This study simplifies the complex relationship among grapevine plants,aphids,ladybirds,and ants,which is essential for effective pest management and ecological balance.This study investigated the impact of aphid attacks and the presence of ants and ladybirds on the volatile compounds profile released into the chemosphere of the community consisting of the common vine Vitis vinifera,the aphid Aphis illinoisensis,the ladybird Cocci-nella undecimpunctata-and the ant Tapinoma magnum.This study aims to analyze the volatile compounds emitted by the grapevine and surrounding insects in response to these intricate interactions.The extraction of volatile organic compounds(VOCs)was carried out using closed-loop stripping(CLS)and then analyzed via gas chromatography-mass spectrometry(GC-MS)and principles coordinated analysis(PCA)was performed.The grapevine was exposed to different types and order of treatments,including non-infested,aphid-infested,aphid-infested with ant,aphid-infested with ladybird,and various combinations of ant and ladybird.After the aphid attack,the outcomes uncovered massive alterations in the volatile compound profiles.Infested grapevine displayed distinct emissions of germacrene D,an alcohol,and an alkene compared to non-infested plants.The characteristic VOC profile was the share of infested grapes in the presence of ants,with benzene derivatives and sesquiterpenes dominating the components.The coexistence of ladybirds with ants and aphids resulted in a dif-ferent volatile profile characterized by elevated levels of aldehydes,ketones,α-farnesene,and its hydroxy deriva-tive.It was concluded that the emission of VOCs into the chemosphere of the grapevine communities varied qualitatively and quantitatively depending on the level of the relationship complexity within each community in response to the infestation of grapevines by aphids,the presence of ladybirds as natural predators,and the presence of ant as protector.The grapevine’s status-dependent compounds can serve as indicators of infestation status and contribute to non-destructive early-stage diagnosis of the aphid.

兴隆庄煤矿职工行为隐患分析及SAE闭环管理体系研究

人的不安全行为是导致煤矿安全事故发生的主要原因,为了减少和杜绝不安全行为的发生,通过对兴隆庄煤矿职工行为隐患进行统计整理分析,深入研究不安全行为形成机理,基于马斯洛需求理论、风险分级管理理论、积分制管理理论等,提出建立SAE闭环管理体系,并将该体系应用于兴隆庄煤矿。研究应用结果表明:SAE闭环管理体系能够有效的提高职工的安全意识及现场的安全管理水平,人的不安全行为得到了极大的抑制,进而保证煤矿的安全生产。

民用飞机构型管理过程与SAE ARP 4754A的符合性技术研究

SAE ARP 4754A是面向航空产品研制的系统工程过程要求,是民用飞机产品开发的规范指南。本文从SAE ARP 4754A标准中对民用飞机构型管理工作的要求出发,描述了民用飞机型号研制中的构型管理工作过程,并给出了在型号研制中此过程与SAE ARP 4754A标准要求的符合性方法。

Theoretical research on reservoir closed-loop production management

Closed-loop production management combines the process of history matching and production optimization together to peri-odically updates the reservoir model and determine the optimal control strategy for production development to realize the goal of decreasing the knowledge of model uncertainty as well as maximize the economic benefits for the expected reservoir life. The adjoint-gradient-based methods seem to be the most efficient algorithms for closed-loop management. Due to complicated calculation and limited availability of adjoint-gradient in commercial reservoir simulators, the application of this method is still prohibited for real fields. In this paper, a simultaneous perturbation stochastic approximation (SPSA) algorithm is proposed for reservoir closed-loop production management with the combination of a parameterization way for history matching and a co-variance matrix to smooth well controls for production optimization. By using a set of unconditional realizations, the proposed parameterization method can transform the minimization of the objective function in history matching from a higher dimension to a lower dimension, which is quite useful for large scale history matching problem. Then the SPSA algorithm minimizes the objective function iteratively to get an optimal estimate reservoir model. Based on a prior covariance matrix for production op-timization, the SPSA algorithm generates a smooth stochastic search direction which is always uphill and has a certain time correlation for well controls. The example application shows that the SPSA algorithm for closed-loop production management can decrease the geological uncertainty and provide a reasonable estimate reservoir model without the calculation of the ad-joint-gradient. Meanwhile, the well controls optimized by the alternative SPSA algorithm are fairly smooth and significantly improve the effect of waterflooding with a higher NPV and a better sweep efficiency than the reactive control strategy.

Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai

Objective:To describe the information technology and artificial intelligence support in management experiences of the pediatric designated hospital in the wave of COVID-19 in Shanghai.Methods:We retrospectively concluded the management experiences at the largest pediatric designated hospital from March 1st to May 11th in 2022 in Shanghai.We summarized the application of Internet hospital,face recognition technology in outpatient department,critical illness warning system and remote consultation system in the ward and the structed electronic medical record in the inpatient system.We illustrated the role of the information system through the number and prognosis of patients treated.Results:The COVID-19 designated hospitals were built particularly for critical patients requiring high-level medical care,responded quickly and scientifically to prevent and control the epidemic situation.From March 1st to May 11th,2022,we received and treated 768 children confirmed by positive RT-PCR and treated at our center.In our management,we use Internet Information on the Internet Hospital,face recognition technology in outpatient department,critical illness warning system and remote consultation system in the ward,structed electronic medical record in the inpatient system.No deaths or nosocomial infections occurred.The number of offline outpatient visits dropped,from March to May 2022,146,106,48,379,57,686 respectively.But the outpatient volume on the internet hospital increased significantly(3,347 in March 2022 vs.372 in March 2021;4,465 in April 2022 vs.409 in April 2021;4,677 in May 2022 vs.538 in May 2021).Conclusions:Information technology and artificial intelligence has provided significant supports in the management.The system might optimize the admission screening process,increases the communication inside and outside the ward,achieves early detection and diagnosis,timely isolates patients,and timely treatment of various types of children.

商用车动力电池故障诊断系统开发

为提高商用车动力电池的安全性和可靠性,保证车辆安全平稳地行驶,开发一套动力电池的故障诊断系统。该系统基于SAEJ 1939协议选取诊断参数组,搭建Simulink诊断策略模型,并通过CANoe完成系统的仿真测试。测试结果表明:开发的故障诊断系统能够对商用车动力电池的实时数据进行故障分析及处理,实现对动力电池故障诊断功能,保证车辆的行驶安全。

传染病流行期间定点收治医院医疗废弃物的“闭环式”管理

介绍传染病流行期间定点收治医院医疗废弃物的“闭环式”收、储、运模式,以及气化式回转窑无害化处理的工艺特点,为其他医院的医疗废弃物处理提供参考。

教务综合信息管理系统的设计与实现

针对传统的高校教学管理工作效率低下、工作任务重复繁琐的问题,文章在基于Think PHP开源的框架技术的基础上实现了教务综合信息管理系统。系统主要完成了二级学院的信息统计、学生实验报告和毕业论文的管理工作,有效地提高了教学管理人员的工作效率,并且对学生的实验报告和毕业论文管理更加科学规范。

基于Web的院系实验室排课系统

以高校院系实验中心排课管理工作为研究对象,在对其工作特点进行分析的基础上,利用PHP及MySQL数据库技术,设计并开发了基于Web的院级实验中心排课管理系统,该系统的运行使实验中心排课工作更加定量化、规范化、信息化,提高了实验资源的利用效率。本软件最终部署在新浪网提供的开放式平台SAE上为使用者提供服务。

A feedback control mechanism for adaptive SLO maintenance in dynamic service level management

With the increasing scale of information technology(IT)service system,traditional thresholdbased static service level management(SLM)solution appears to be inadequate to meet current increasingly management requirement of SLM.Due to the stochastic service request rate,the random inherent failure and load surge of IT devices during service operating stage of large scaled IT system,service level objective(SLO)maintenance issue has become a realistic and important issue in dynamic SLM.This paper proposes a closed-loop feedback control mechanism to adaptively maintain SLO that service provider(SP)guaranteed at service operation stage.The mechanism can automatically tune the capacity of IT infrastructure according to service performance dispersion and reduce SLO violations.Considering that the tuning operations also affect service performance,fuzzy control is applied to alleviate the negative effect caused by tuning operations.In the dynamic SLM system that is applied with this mechanism compared with the traditional threshold-based solution,it is proved that the amount of SLO violations obviously decreases,the reliability of the service system increases relatively,and the resource utilization of IT infrastructure is optimized.

抗肿瘤新药临床试验134例死亡严重不良事件质量管理分析

目的:通过分析我院上报的结局为死亡的严重不良事件(SAE)的临床试验受试者信息、项目信息和核查问题,为提高临床试验SAE上报的准确性、及时性、规范性,加强临床试验风险管理、提升临床试验质量提供参考。方法:收集我院2016年1月—2019年7月上报到本院药物临床试验机构的死亡SAE事件,描述受试者性别、年龄、疾病分期、体能状态、合并疾病情况、上报科室、项目分期、项目设计、受试者死亡原因、SAE与研究药物相关性等,并结合死亡SAE专项核查发现的问题进行讨论。结果:134例死亡SAE受试者中,以男性、50岁以上人群、疾病分期Ⅳ期、入组时ECOG评分1分、接受生物制剂类药物为主,一半以上自身合并有其他疾病,多分布在消化肿瘤内科;死亡原因多为疾病进展相关死亡(73例,54.5%);死亡SAE与研究药物相关性为"有关"(74例,55.2%)。涉及Ⅰ~Ⅲ期临床试验55项,Ⅰ期项目的人均SAE数和人均死亡SAE数均较Ⅱ~Ⅲ期高。SAE报告核查发现问题包括:SAE延迟上报3例(2.2%)、SAE死亡依据不充分3例(2.2%)、SAE填写前后矛盾4例(3.0%),SAE与药物相关性判断依据不充分6例(4.5%)。结论:药物临床试验管理部门需对研究者加强SAE相关培训,并加强SAE相关的质量管理措施。

Optimal Grading Policies in the Online Acquisition of Used Products

Although online reverse commerce(recommerce)is convenient and efficient,it is not without caveats.It limits recommerce firms’flexibility to offer personalized prices and may cause mismatched grading between the firms and sellers of used products.This study examines a recommerce firm’s decision on grading criteria and prices.We find that the firm’s optimal policy exhibits two distinctly different patterns depending on the trade value of the product.We demonstrate that sellers’overestimate and underestimate errors have qualitatively different effects on firm profitability,and the effects crucially rely on the type of optimal policy.These findings can apprise firms on how to preset sorting criteria and prices as well as reduce grading errors.