detection

摘要： BACKGROUND Fibroblast growth factor 19(FGF-19)is one of the founding members of the endocrine FGF subfamily.Recently,it has been the subject of much interest owing to its role in various physiological processes affecting glucose and lipid metabolism and the regulation of bile acid secretion as well as cell proliferation,differentiation,and motility.Additionally,FGF-19 secretion in an autocrine style has reportedly contributed to cancer progression in various types of malignancies including hepatocellular carcinoma(HCC).AIM To estimate the serum FGF-19 concentrations in HCC cases and assess its diagnostic performance for the detection of HCC.METHODS We recruited 90 adult participants and divided them into three equal groups:Healthy controls,cirrhosis patients,and HCC patients.Serum FGF-19 concentrations were measured using the Human FGF-19 ELISA kit.RESULTS We detected a high statistically significant difference in serum FGF-19 levels among the three groups.The highest level was observed in the HCC group,followed by the cirrhosis and control groups(236.44±40.94 vs 125.63±31.54 vs 69.60±20.90 pg/mL,respectively,P≤0.001).FGF-19 was positively correlated with alpha fetoprotein(AFP;r=0.383,P=0.003)and international normalised ratio(r=0.357,P=0.005),while it was negatively correlated with albumin(r=-0.500,P≤0.001).For the detection of HCC,receiver operating characteristic curve analysis showed that the best cut-off point of AFP was>8.2 ng/mL with an area under the curve(AUC)of 0.78,sensitivity of 63.33%,specificity of 83.33%,positive predictive value(PPV)of 79.2%,negative predictive value(NPV)of 69.4%,and total accuracy of 78%.However,FGF-19 at a cut-off point>180 pg/mL had an AUC of 0.98,sensitivity of 100%,specificity of 90.0%,PPV of 90.0%,NPV of 100%,and total accuracy of 98%.CONCLUSION FGF-19 represents a possible novel non-invasive marker for HCC.It may improve the prognosis of HCC patients due to its utility in several aspects of HCC detection and management.

摘要： BACKGROUND Post-colonoscopy colorectal cancer(CRC)rates for patients with inflammatory bowel disease(IBD)are unacceptably high.During colonoscopy,an intravenous fluorescent anti-c-MET probe may improve endoscopic detection of lesions.However,c-MET expression in IBD lesions is poorly defined,limiting translational studies.AIM To comprehensively define c-MET expression in sporadic and IBD-associated colorectal carcinogenesis.METHODS c-MET expression was immunohistochemically assessed in 319 formalin-fixed paraffin-embedded tissue specimens,colonoscopically or surgically retrieved between 1994-2017.Tissue included:30 normal colorectal biopsies,30 hyperplastic polyps(HP),31 sessile serrated lesions(SSL),55 tubular/tubulovillous adenomas with low(TA-LGD,n=32)or high grade dysplasia(TA-HGD,n=23),26 sporadic(s)-CRCs,16 quiescent IBD biopsies,11 active/inflamed IBD biopsies,18 IBDassociated dysplastic lesions(IBD-dys),and 102 IBD-CRCs.Expression was scored by two independent observers as:0=absent,1=weak,2=moderate or 3=strong.Mann-Whitney U and Kruskal-Wallis tests were used to assess significance.RESULTS Positive epithelial cytoplasmic and membranous c-MET expression was observed in all tissues,indicating there is ubiquitous expression in the colorectum.c-MET expression was weak in normal colonic epithelium compared with each of the sporadic colonic lesions,including TA-LGD(P<0.001),TA-HGD(P=0.004),HP(P<0.001),SSL(P<0.001),and s-CRC(P<0.001).Specifically,in sporadic(non-IBD)lesions,expression was stronger in TA-LGD compared with normal mucosa(P<0.001),and stronger in s-CRC compared with TA-HGD(P=0.004).However,there was no significant difference between TA-LGD and TA-HGD(P=0.852).Further,there was no difference in c-MET expression between HP and SSL(P=0.065).In IBD,expression was weaker in quiescent colonic mucosa compared with inflamed colonic mucosa(P<0.001).There was no difference between inflamed colonic mucosa and IBD-dys(P=0.512)or IBD-CRC(P=0.296).However,expression was stronger in IBD-dys(P<0.001)and IBD-CRC(P<0.001)compared with quiescent IBD colonic mucosa.CONCLUSION The characterisation of c-MET expression suggest that an intravenous probe may improve the endoscopic detection of lesions in both non-IBD patients and IBD patients with quiescent disease.

摘要： This paper reviews three complex interactions between microwave energy and microorganisms (bacteria, fungi, and viruses). The first interaction comprises the detection of viruses within human blood using a 50-Ohm transmission-line vector net-analyzer (typically 0 to 10 dBm @ 2 to 8.5 GHz) where the blood is placed within a test chamber that acts as a non-50-Ohm discontinuity. The second interaction employs 1 to 6.5 W @ 8 to 26 GHz for microwave feed-horn illumination to inactivate microorganisms at an applied power density of 10 to 100 mW-2. The third interaction is within multi-mode microwave ovens, where microorganism cell membrane disruption occurs at a few 100 s of W @ 2.45 GHz and microorganism inactivation between 300 to 1800 W @ 2.45 GHz. Within the first microwave interaction, blood relaxation processes are examined. Whereas in the latter two microwave interactions, the following disruption, and inactivation mechanisms are examined: chemical cellular lysis and, microwave resonant absorption causing cell wall rupture, and thermodynamic analysis in terms of process energy budget and suspension energy density. In addition, oven-specific parameters are discussed.

摘要： Gastric cancer(GC)is a major cancer worldwide,with high mortality and morbidity.Endoscopy,important for the early detection of GC,requires trained skills,high-quality technologies,surveillance and screening programs.Early diagnosis allows a better prognosis,through surgical or curative endoscopic therapy.Magnified endoscopy with virtual chromoendoscopy remarkably improve the detection of early gastric cancer(EGC)when endoscopy is performed by expert endoscopists.Artificial intelligence(AI)has also been introduced to GC diagnostics to increase diagnostic efficiency.AI improves the early detection of gastric lesions because it supports the non-expert and experienced endoscopist in defining the margins of the tumor and the depth of infiltration.AI increases the detection rate of EGC,reduces the rate of missing tumors,and characterizes EGCs,allowing clinicians to make the best therapeutic decision,that is,one that ensures curability.AI has had a remarkable evolution in medicine in recent years,moving from the research phase to clinical practice.In addition,the diagnosis of GC has markedly progressed.We predict that AI will allow great evolution in the diagnosis and treatment of EGC by overcoming the variability in performance that is currently a limitation of chromoendoscopy.

摘要： Noise due to surface wind and temperature is a problem in infrasound. Efficiency of IMS network concerns scientists. It is obvious to find the causes of deficiencies of detection of infrasound station by studying background noise power with respect to the surface wind and the temperature. Data measured by MB2000 microbarometer of infrasound station I33MG are used for the study. Infrasound records are separated into 4 frequency bands centered respectively at: 1 Hz, 0.25 Hz, 0.0625 Hz and 0.0156 Hz. Effects of surface wind and temperature are studied by plotting the variations of the background noise power with respect to the temperature or wind speed in the four considered frequency bands and compared with the median of background noise power. The influence of temperature is manifested by a reduction in the number of low-frequency detection. The surface wind reduces the number of detection at a high frequency. An exponential function is proposed to predict the variations of the noise power in different observation frequencies and temperature and wind conditions. The views expressed herein are those of the authors and do not necessarily reflect the views of the CTBTO Preparatory Commission.

摘要： Background:Amanita poisoning as a foodborne disease has raised concerning mortality issues.Reducing the interval between mushroom ingestion and medical intervention could greatly influence the outcomes of Amanita poisoning patients,while treatment is highly dependent on a confirmed diagnosis.To this end,we developed an early detection-guided intervention strategy by optimizing diagnostic process with performingα-amanitin detection,and further explored whether this strategy influenced the progression of Amanita poisoning.Methods:This study was a retrospective analysis of 25 Amanita poisoning patients.Thirteen patients in the detection group were diagnosed mainly based onα-amanitin detection,and 12 patients were diagnosed essentially on the basis of mushroom consumption history,typical clinical patterns and mushroom identification(conventional group).Amanita poisoning patients received uniform therapy,in which plasmapheresis was executed once confirming the diagnosis of Amanita poisoning.We compared the demographic baseline,clinical and laboratory data,treatment and outcomes between the two groups,and further explored the predictive value ofα-amanitin concentration in serum.Results:Liver injury induced by Amanita appeared worst at the fourth day and alanine aminotransferase(ALT)rose higher than aspartate aminotransferase(AST).The mortality rate was 7.7%(1/13)in the detection group and 50.0%(6/12)in the conventional group(P=0.030),since patients in the detection group arrived hospital much earlier and received plasmapheresis at the early stage of disease.The early detection-guided intervention helped alleviate liver impairment caused by Amanita and decreased the peak AST as well as ALT.However,the predictive value ofα-amanitin concentration in serum was still considered limited.Conclusions:In the management of mushroom poisoning,consideration should be given to the rapid detection ofα-amanitin in suspected Amanita poisoning patients and the immediate initiation of medical treatment upon a positive toxin screening result.

摘要： [Objectives]This study was conducted for the purpose of widely using molecular biology techniques in the detection of seafood species.[Methods]In this study,such four kinds of seafood as fish,shrimps,crabs and shellfish were used as samples to compare three DNA extraction methods,including Tiangen marine animal tissue genome extraction kit method(DP324)(a),SN/T 3589.6-2013/8.3(b)method and modified SN/T 3730.8-2013/8.1(c)method.The purity and concentrations of DNA and the amplification effects of real-time fluorescene PCR were compared.[Results]The three methods had different extraction effects while satisfying the real-time fluorescent PCR detection.The DNA templates extracted by the SN/T 3730.8-2013/8.1 standard method had higher purity and concentrations,and showed clearer bands in gel electrophoresis,indicating that the method has less effect on real-time fluorescent PCR and less inhibition,and can meet the detection needs of the four types of seafood,including fish,shrimps,crabs and shellfish.[Conclusions]This study provides a theoretical basis for the detection of seafood animal-derived components.

摘要： :This paper focuses on detecting diseased signals and arrhythmias classification into two classes:ventricular tachycardia and premature ventricular contraction.The sole purpose of the signal detection is used to determine if a signal has been collected from a healthy or sick person.The proposed research approach presents a mathematical model for the signal detector based on calculating the instantaneous frequency(IF).Once a signal taken from a patient is detected,then the classifier takes that signal as input and classifies the target disease by predicting the class label.While applying the classifier,templates are designed separately for ventricular tachycardia and premature ventricular contraction.Similarities of a given signal with both the templates are computed in the spectral domain.The empirical analysis reveals precisions for the detector and the applied classifier are 100%and 77.27%,respectively.Moreover,instantaneous frequency analysis provides a benchmark that IF of a normal signal ranges from 0.8 to 1.1 Hz whereas IF range for ventricular tachycardia and premature ventricular contraction is 0.08–0.6 Hz.This indicates a serious loss of high-frequency contents in the spectrum,implying that the heart’s overall activity is slowed down.This study may help medical practitioners in detecting the heart disease type based on signal analysis.

摘要： Purpose-Virtually unlimited amounts of data collection by cybersecurity systems put people at risk of having their privacy violated.Social networks like Facebook on the Internet provide an overplus of knowledge concerning their users.Although users relish exchanging data online,only some data are meant to be interpreted by those who see value in it.It is now essential for online social network(OSN)to regulate the privacy of their users on the Internet.This paper aims to propose an efficient privacy violation detection model(EPVDM)for OSN.Design/methodology/approach-In recent months,the prominent position of both industry and academia has been dominated by privateness,its breaches and strategies to dodge privacy violations.Corporations around the world have become aware of the effects of violating privacy and its effect on them and other stakeholders.Once privacy violations are detected,they must be reported to those affected and it’s supposed to be mandatory to make them to take the next action.Although there are different approaches to detecting breaches of privacy,most strategies do not have a functioning tool that can show the values of its subject heading.An EPVDM for Facebook,based on a deep neural network,is proposed in this research paper.Findings-The main aim of EPVDM is to identify and avoid potential privacy breaches on Facebook in the future.Experimental analyses in comparison with major intrusion detection system(IDS)to detect privacy violation show that the proposed methodology is robust,precise and scalable.The chances of breaches or possibilities of privacy violations can be identified very accurately.Originality/value-All the resultant is compared with well popular methodologies like adaboost(AB),decision tree(DT),linear regression(LR),random forest(RF)and support vector machine(SVM).It’s been identified from the analysis that the proposed model outperformed the existing techniques in terms of accuracy(94%),precision(99.1%),recall(92.43%),f-score(95.43%)and violation detection rate(>98.5%).

摘要： The present letter to the editor is related to the study entitled“Multidrug-resistant organisms in intensive care units and logistic analysis of risk factors.”Not every microorganism grown in samples taken from critically ill patients can be considered as an infectious agent.Accurate and adequate information about nosocomial infections is essential in introducing effective prevention programs in hospitals.Therefore,the development and implementation of care bundles for frequently used medical devices and invasive treatment devices(e.g.,intravenous catheters and invasive ventilation),adequate staffing not only for physicians,nurses,and other medical staff but also for housekeeping staff,and infection surveillance and motivational feedback are key points of infection prevention in the intensive care unit.

摘要： A method based on capillary electrophoresis with high frequency conductivity detection was developed for determination of Sparfloxacin. The key factors for separation and determination were studied and the best analysis conditions were obtained, In the buffer of 3.0 mmol/L HAc -10.0 % C2H5OH at separation voltage of 20.0 kV, Sparfloxacin in the sample could be separated and detected within 4 min. The linear concentration of Sinomenine ranged from 6.0 to 280 ?g/mL, the limit of detection reached 1.9 ?g/ml. The method was used for analysis of Sparfloxacin in Sparfloxacin tablets satisfactorily with a recovery of 98.7-101%, the dressing in the tablets didn't interfere determination.

摘要： 本发明提供一种AEP内存Error Detection功能测试方法、系统、终端及存储介质，包括：利用Intel XDP对所述AEP内存进行模拟注错并获取模拟错误信息；查看BMC中的AEP错误信息；通过校验模拟错误信息与BMC错误信息的一致性获取Error Detection功能测试结果。本发明能够自动对AEP内存的Error Detection功能进行测试，测试严谨性符合市场要求，且测试方法简单，测试效率高，不依赖人工操作，省时省力。

摘要： 本发明涉及图像检测技术领域，具体提供了基于once shot detection的目标检测方法及系统，其包括以下步骤：首先调整图片的大小，并分割得到7×7网格，每个网格预测两个图像框；然后预训练once shot detection的分类网络，其中分类网络中有17～20卷积层和5个全链接层；以预训练好的分类网络为基座网络结构，训练好的计算机函数作为预训练权重，将预训练权重加载到基座网络机构，转换模型获取检测网络，继续训练检测网络；检测网络预测各网格的类别和带有目标图像的图像框坐标。本发明提供的基于once shot detection的目标检测方法及系统，对图片做检测任务时速度较快；背景误检率低。