Long-term hydrochemical monitoring and geothermometry:understanding groundwater salinization and thermal fluid contamination in Mila’s basin,Northeastern Algeria

The regular hydrochemical monitoring of groundwater in the Mila basin over an extended period has provided valuable insights into the origin of dissolved salts and the hydrogeochemical processes controlling water salinization.The data reveals that the shallow Karst aquifer shows an increase in TDS of 162 mg L^(-1) while the ther-mal carbonate aquifer that is also used for drinking water supply exhibits an increase of 178 mg L^(-1).Additionally,significant temperature variations are recorded at the sur-face in the shallow aquifers and the waters are carbo-gaseous.Analysis of dissolved major and minor elements has identified several processes influencing the chemical composition namely:dissolution of evaporitic minerals,reduction of sulphates,congruent and incongruent car-bonates’dissolution,dedolomitization and silicates’weathering.The hydrogeochemical and geothermometric results show a mixing of saline thermal water with recharge water of meteoric origin.Two main geothermalfields have been identified,a partially evolved water reservoir and a water reservoir whosefluid interacts with sulphuric acid(H_(2)S)of magmatic origin.These hot waters that are char-acterized by a strong hydrothermal alteration do ascend through faults and fractures and contribute to the contamination of shallower aquifers.Understanding the geothermometry and the hydrogeochemistry of waters is crucial for managing and protecting the quality of groundwater resources in the Mila basin,in order to ensure sustainable water supply for the region.A conceptual model for groundwater circulation and mineralization acquisition has been established to further enhance under-standing in this regard.

Comparison of CWSI and T_(s)-T_(a)-VIs in moisture monitoring of dryland crops(sorghum and maize)based on UAV remote sensing

Monitoring agricultural drought using remote sensing data is crucial for precision irrigation in modern agriculture.Utilizing unmanned aerial vehicle(UAV)remote sensing,we explored the applicability of an empirical crop water stress index(CWSI)based on canopy temperature and three-dimensional drought indices(TDDI)constructed from surface temperature(T_(s)),air temperature(T_(a))and five vegetation indices(VIs)for monitoring the moisture status of dryland crops.Three machine learning algorithms(random forest regression(RFR),support vector regression,and partial least squares regression)were used to compare the performance of the drought indices for vegetation moisture content(VMC)estimation in sorghum and maize.The main results of the study were as follows:(1)Comparative analysis of the drought indices revealed that T_(s)-T_(a)-normalized difference vegetation index(TDDIn)and T_(s)-T_(a)-enhanced vegetation index(TDDIe)were more strongly correlated with VMC compared with the other indices.The indices exhibited varying sensitivities to VMC under different irrigation regimes;the strongest correlation observed was for the TDDIe index with maize under the fully irrigated treatment(r=-0.93).(2)Regarding spatial and temporal characteristics,the TDDIn,TDDIe and CWSI indices showed minimal differences Over the experimental period,with coefficients of variation were 0.25,0.18 and 0.24,respectively.All three indices were capable of effectively characterizing the moisture distribution in dryland maize and sorghum crops,but the TDDI indices more accurately monitored the spatial distribution of crop moisture after a rainfall or irrigation event.(3)For prediction of the moisture content of single crops,RFR models based on TDDIn and TDDIe estimated VMC most accurately(R^(2)>0.7),and the TDDIn-based model predicted VMC with the highest accuracy when considering multiple-crop samples,with R^(2)and RMSE of 0.62 and 14.26%,respectively.Thus,TDDI proved more effective than the CWSI in estimating crop water content.

Early proactive monitoring of DNA-thioguanine in patients with Crohn’s disease predicts thiopurine-induced late leucopenia in NUDT15/TPMT normal metabolizers

BACKGROUND Thiopurine-induced leucopenia significantly hinders the wide application of thiopurines.Dose optimization guided by nudix hydrolase 15(NUDT15)has significantly reduced the early leucopenia rate,but there are no definitive biomarkers for late risk leucopenia prediction.AIM To determine the predictive value of early monitoring of DNA-thioguanine(DNATG)or 6-thioguanine nucleotides(6TGN)for late leucopenia under a NUDT15-guided thiopurine dosing strategy in patients with Crohn’s disease(CD).METHODS Blood samples were collected within two months after thiopurine initiation for detection of metabolite concentrations.Late leucopenia was defined as a leukocyte count<3.5×10^(9)/L over two months.RESULTS Of 148 patients studied,late leucopenia was observed in 15.6%(17/109)of NUDT15/thiopurine methyltransferase(TPMT)normal and 64.1%(25/39)of intermediate metabolizers.In patients suffering late leucopenia,early DNATG levels were significantly higher than in those who did not develop late leucopenia(P=4.9×10^(-13)).The DNATG threshold of 319.43 fmol/μg DNA could predict late leucopenia in the entire sample with an area under the curve(AUC)of 0.855(sensitivity 83%,specificity 81%),and in NUDT15/TPMT normal metabolizers,the predictive performance of a threshold of 315.72 fmol/μg DNA was much more remarkable with an AUC of 0.902(sensitivity 88%,specificity 85%).6TGN had a relatively poor correlation with late leucopenia whether in the entire sample(P=0.021)or NUDT15/TPMT normal or intermediate metabolizers(P=0.018,P=0.55,respectively).CONCLUSION Proactive therapeutic drug monitoring of DNATG could be an effective strategy to prevent late leucopenia in both NUDT15/TPMT normal and intermediate metabolizers with CD,especially the former.

基于C/S架构的eMule监控系统的设计与实现

介绍了P2P和C/S的体系结构.通过修改现有系统eMule,使用三层C/S架构和两层C/S架构,构建了一个eMule监控系统,从而使得改进后的eMule系统的客户端的IP、共享资源、下载完成的资源和是否在线状态受到监控.

Intestinal ultrasound as a non-invasive tool to monitor inflammatory bowel disease activity and guide clinical decision making

Intestinal ultrasound(IUS)is a non-invasive,real-time,cross-sectional imaging tool that can be used at the point-of-care to assess disease activity in patients with Crohn’s disease or ulcerative colitis.IUS promotes quick and impactful treatment decisions that can modify disease progression and enhance patient compliance.This review will summarize the technical aspects of IUS,the evidence to support the use of IUS in disease activity monitoring,the comparison of IUS to current standard of care monitoring modalities such as colonoscopy and calprotectin,and the optimal positioning of IUS in a tight-control monitoring strategy.

经皮二氧化碳分压监测在硬质支气管镜下Feng′s EBUS-TBNB中的应用

目的:探讨经皮二氧化碳分压(transcutaneous partial pressure of carbon dioxide,PtcCO_(2))监测在硬质支气管镜下冯氏气管内超声引导纵隔切开活检(Feng′s endobronchial ultrasound-guided transbronchial node biopsy,Feng′s EBUS-TBNB)中的应用。方法:收集2019年8月—2022年8月期间天津医科大学总医院收治的纵隔疾病患者128例,随机分成Feng′s EBUS-TBNB组和支气管内超声引导针吸活检术(endobronchial ultrasound-guided transbronchial needle aspiration,EBUS-TBNA)组,患者均予高频喷射通气行硬质支气管镜下操作及PtcCO_(2)监测,EBUS-TBNA组患者行EBUS-TBNA,Feng′s EBUS-TBNB组患者行Feng′s EBUS-TBNB术,比较两组患者术前(T0)、通气开始时(T_(1))、通气10 min后(T_(2))、通气20 min后(T3)、通气30 min后(T_(4))、通气40 min后(T_(5))、通气50 min后(T_(6))、通气60 min后(T_(7))心率(heart rate,HR)、平均动脉压(mean arterial pressure,MAP)和PtcCO_(2)的变化。结果:T_(1)~T_(7)时,两组患者HR、MAP和PtcCO_(2)水平均明显高于T0时(P<0.05)。T0~T_(2)时,两组患者HR、MAP和PtcCO_(2)水平比较差异无统计学意义(P>0.05);T3~T_(5)时,Feng′s EBUS-TBNB组HR、MAP和PtcCO_(2)水平均明显高于EBUS-TBNA组(P<0.05);而T_(6)~T_(7)时,两组患者HR、MAP和PtcCO_(2)水平比较差异无统计学意义(P>0.05)。结论:将PtcCO_(2)应用于Feng′s EBUS-TBNB中,可间接反映患者HR、MAP水平变化,值得临床推广应用。

Therapeutic drug monitoring in inflammatory bowel disease:At the right time in the right place

Therapeutic drug monitoring(TDM)was one of most sought-after objective tools to determine therapeutic efficiency of different biologics and its role in the management of patients with inflammatory bowel disease(IBD)was regarded with great anticipation.But implementation of the TDM in clinical practice was challenged by several factors including uncertainty of the optimal cut-off values,assay variable sensitivity in detecting drug levels and antibodies and,most importantly,individual pharmacokinetics.While reactive TDM was embraced in clinical practice as a useful tool in assessing lack of response to therapy,the utility of proactive TDM in managing IBD therapy is still challenged by the lack of consistency between evidence.Described here,there are four groups of IBD patients for whom proactive TDM has the potential to greatly impact their therapeutic outcomes:Patients with perianal Crohn’s disease,patients with severe ulcerative colitis,pregnant women with IBD and children.As the future of IBD management moves towards personalizing treatment,TDM will be an important decision node in a machine learning based algorithm predicting the best strategy to maximize treatment results while minimizing the loss of response to therapy.

同步挤压S变换与τ⁃p变换联合的微地震信号消噪方法

微地震监测是指导页岩气开采水力压裂作业和评价压裂效果的常用手段。地面监测所采集的微地震信号能量弱、信噪比低,微地震事件识别困难,严重影响定位的准确性。针对低信噪比地面微地震监测资料,联合使用同步挤压S变换、谱分解和τ⁃p变换,提出一种新的消噪方法。首先对监测资料进行时差校正,将微地震信号的同相轴校平;之后使用同步挤压S变换对校平后的资料进行谱分解获取单频切片;再对每个单频切片进行τ⁃p变换,并根据τ⁃p变换的结果获取微地震信号位置;最后根据信号的位置在时频域完成消噪。实际低信噪比地面微地震监测数据的处理结果表明,新方法可以获得理想的消噪结果。

Experimental Study of Acoustic Noise Correlation Technique for Passive Monitoring of Rails

The work presented in this paper aims at investigating the ability of acoustic noise correlation technique for railway infrastructure health monitoring. The principle of this technique is based on impulse responses reconstruction by correlation of random noise propagated in the medium. Since wheel-rail interaction constitutes a source of such noise, correlation technique could be convenient for detection of rail defects using only passive sensors. Experiments have been carried out on a 2 m-long rail sample. Acoustic noise is generated in the sample at several positions. Direct comparison between an active emission-reception response and the estimated noise correlation function has confirmed the validity of the equivalence relation between them. The quality of the reconstruction is shown to be strongly related to the spatial distribution of the noise sources. High sensitivity of the noise-correlation functions to a local defect on the rail is also demonstrated. However, interpretation of the defect signature is more ambiguous than when using classical active responses. Application of a spatiotemporal Fourier transform on data recorded with variable sensor-defect distances has allowed overcoming this ambiguity.

Updates in therapeutic drug monitoring in inflammatory bowel disease

Biologics and immunomodulators(IMM)are generally considered the most effective therapies for the treatment of ulcerative colitis and Crohn’s disease.However,despite the efficacy of these therapies,many patients either have a primary lack of response or a secondary loss of response to these medications.Therapeutic drug monitoring(TDM)is a systematic approach to managing such patients.In this review,we summarize the latest data on TDM,including reactive and proactive TDM,in patients with inflammatory bowel disease on biologics and/or IMM.

An Automatic Monitoring and Alarming Method for the Power Supply of Weather Radars

As weather radar stations require headroom environment to operate,they were mostly built on highlands which are usually unattended.The mains supply is relatively poor,and the risk of radar stoppages due to power outage is therefore ever-present.As such,the radar construction program is used to build a complementary security video monitoring system.By collecting monitoring images of the regulated power supply in real-time from power supply auto transfer systems in distribution rooms and radar transceiver rooms,using Spearman’s rank correlation coefficient to analyse pixel variation trends,and supplementing statistical analysis of pixel characteristics difference to eliminate misjudgments resulting from low image contrast in special scenarios,a software can be developed through C#.It has the function of automatically monitoring mains supply and alerting staff on duty to handle the power outage in a timely manner via text message so that any potential risk is neutralised before it can cause damage.This monitoring and auto-alerting approach is generally applicable to unattended rooms with large amounts of electronical equipment.

基于B/S架构的空调智能监控系统设计与实现

为解决空调系统设备种类众多、协议不统一的问题,针对空调系统的监控需求,设计了基于分布式监控与集中管理模式、B/S架构的空调智能监控系统。首先,在设备监控层利用多线程技术实现设备实时数据的采集处理,采用多协议转换技术进行统一协议转换、封装,将多种协议数据上传存储到数据库服务器。然后,通过模糊自适应PID控制器对监测数据进行轮询计算,调节变频器实时控制空调系统温度。最后,通过Web服务端口访问数据库服务器,实现系统集成与数据交换,建立集中控制、管理、运维的集成平台,实现系统设备的统一监控和调度,系统的统一部署和高可用性,完成空调监控系统的界面可视化并提升空调系统智能化水平。实践表明,该系统运行稳定,能实时监控空调运行状况,且具有较高的扩展性与管理效率。

Intraoperative Nerve Monitoring in Otolaryngology: A Survey of Clinical Practice Patterns

Introduction: Intraoperative nerve monitoring is used in otolaryngology to assist in identification of nerves at risk. It is hoped that this will lead to lower rates of nerve injury. The objective of this study was to quantify the use of monitoring technology in current clinical practice. Method: An electronic survey was distributed to 376 registered fellows of the Australian Society of Head and Neck Surgery. Results: One-hundred and twenty-five responses were obtained. The majority of respondents report using monitoring at least some of the time during thyroid, parotid, and mastoid surgery (80%, 87%, and 73% respectively). Predictors of use include experience with intraoperative monitoring during training, and high caseloads in parotid surgery. Practice setting did not predict use. Conclusion: Despite equivocal evidence that intraoperative nerve monitoring is associated with a reduction in nerve injuries, this study demonstrates that the technology is widely used amongst otolaryngologists.

The Monitoring with Video and Alarm System Based on Linux Router

As one of important safeguarded measures in security field, the video monitoring system have been applied in extensive ways such as building’s security,information’s acquisition and medical treatment. In current time, the intelligent home systems as well as the Internet of Things are forming a more and more mature industrial chain. With abundant of new technology applications, this industrial chain is developing towards to a more intelligent way. One of the most important applications is the video monitoring system developed by new technology. Deploy an appropriate design of video monitoring system in the several fields such as public security, traffic schedule, systems control and so on, is a major technological medium which can guarantee not wasting an amount of manpower resource as well as keeping the system in a good running status. This article based on the preponderance of the Linux system, especially the character of open source of it. Combine the Linux system and some particular routers;designing a real-time and efficient video monitoring system. It’s functional and in the meantime it can discriminate abnormal information or the situation automatically and then raise the alarm. This system use matured B/S mode in software’s framework, which is also lightweight class. In addition, this system manages the expenses in hardware cost more commendably.

Implement of the Production Monitoring and Control System for Coning,Drawing and Twisting's Workshop

To achieve the production information management of the coning,drawing and twisting's workshop,and promote a good and fast development of the textile enterprise,firstly,we analyze the information technology development status of the textile enterprise at home and abroad,study the weaknesses of the existing computer monitoring system,introduce the system design project,and propose a system network model based on client/server(C/S)mode.Secondly,a multi-agent production monitoring and control system is developed,and the communication of the single-port-multi-protocol and a multi-thread data collection technology are studied via the multi-thread and standard template library(STL)technologies.Thirdly,the system management functions,the structure design of the database,and the technical difficulties in the process of software design are also introduced.As proved in practice,the system satisfies the production management requirements of the workshop,and implements the network management of the production information.

A New Method for Visual Real-Time Monitoring of Low Frequency Oscillation

Visual real-time monitoring is the premise of low frequency oscillation control in power grids. This paper showed a visual method for the control center of power grids to monitor low frequency oscillation. It processed the PMU real-time data with incomplete S-transform, and converted the waveforms to two-dimensional time-frequency figures which showed the initial time, frequency and amplitude of each low frequency oscillation mode directly. GPU was used to show figures and calculate FFT with the purpose of improving calculation efficiency. The results of practical cases show that the real-time characters of low frequency oscillation can be identified availably by this visualization real-time monitoring method which is helpful and suitable for practical application.

Infrastructure of Synchrotronic Biosensor Based on Semiconductor Device Fabrication for Tracking, Monitoring, Imaging, Measuring, Diagnosing and Detecting Cancer Cells

Copper Zinc Antimony Sulfide(CZAS)is derived from Copper Antimony Sulfide(CAS),a famatinite class of compound.In the current paper,the first step for using Copper,Zinc,Antimony and Sulfide as materials in manufacturing synchrotronic biosensor-namely increasing the sensitivity of biosensor through creating Copper Zinc Antimony Sulfide,CZAS(Cu1.18Zn0.40Sb1.90S7.2)semiconductor and using it instead of Copper Tin Sulfide,CTS(Cu2SnS3)for tracking,monitoring,imaging,measuring,diagnosing and detecting cancer cells,is evaluated.Further,optimization of tris(2,2'-bipyridyl)ruthenium(II)(Ru(bpy)32+)concentrations and Copper Zinc Antimony Sulfide,CZAS(Cu1.18Zn0.40Sb1.90S7.2)semiconductor as two main and effective materials in the intensity of synchrotron for tracking,monitoring,imaging,measuring,diagnosing and detecting cancer cells are considered so that the highest sensitivity obtains.In this regard,various concentrations of two materials were prepared and photon emission was investigated in the absence of cancer cells.On the other hand,ccancer diagnosis requires the analysis of images and attributes as well as collecting many clinical and mammography variables.In diagnosis of cancer,it is important to determine whether a tumor is benign or malignant.The information about cancer risk prediction along with the type of tumor are crucial for patients and effective medical decision making.An ideal diagnostic system could effectively distinguish between benign and malignant cells;however,such a system has not been created yet.In this study,a model is developed to improve the prediction probability of cancer.It is necessary to have such a prediction model as the survival probability of cancer is high when patients are diagnosed at early stages.

SELEX二次雷达接收机单元风扇告警机制分析

近年来,随着民航事业的快速发展,二次雷达在民用航空飞行安全保障中发挥至关重要的作用。接收机是系统的核心部分,它结构复杂,运行环境要求高。整个雷达系统的稳定性也依赖于完善的告警机制。文章以SELEX_SIR-S二次雷达为例,介绍了其接收机单元风扇告警机制,对该型号雷达接收机单元风扇出现告警的案例进行了详细分析。文章通过介绍硬件设备和监控信号,阐述了接收机控制和监视板的基本作用及SELEX_SIR-S二次雷达接收机单元风扇自检信号检测机制。