简介:WedevelopedanRfunctionnamed'microarrayoutlierfilter'(MOF)toassistintheidentificationoffailedarrays.Insortingagroupofsimilararraysbythelike-lihoodoffailure,twostatisticalindiceswereemployed:thecorrelationcoefficientandthepercentageofoutlierspots.MOFcanbeusedtomonitorthequalityofmi-croarraydataforbothtroubleshooting,andtoeliminatebaddatasetsfromdown-streamanalysis.Thefunctionisfreelyavaliableathttp://www.wriwindber.org/applications/mof/.
简介:Non-destructivediagnosticmethodsareveryimportantforbeamadjustmentsandmonitors,especiallywhenthebeamintensityislessthan10~8ppsduringtheheavy-iontreatmentofcancer.NowthediagnosticdevicesofHIFRLcan’tsatisfytherequests,sowedecidetoconstructadetectingsystemoftheresidual-gasbeamprofile~([1,2]).ThesystemusesthePositionSensitiveDetector(PSD)~([3,4])basedonmicrochannelplate(MCP)to
简介:ThisletterstudiesonthedetectionoftexturefeaturesinSyntheticApertureRadar(SAR)images.ThroughanalyzingthefeaturedetectionmethodproposedbyLopes,animprovedtexturedetectionmethodisproposed,whichcannotonlydetecttheedgeandlinesbutalsoavoidstretchingedgeandsuppressinglinesoftheformeralgorithm.ExperimentalresultswithbothsimulatedandrealSARimagesverifytheadvantageandpracticabilityoftheimprovedmethod.
简介:AbstractObjective:Amino acyl modification of lysine residues is an essential mechanism of nutrient sensing that regulates various biological functions including reproduction. At present, the lack of pan-specific antibodies for a recently identified lysine valylation hinders the characterization and detection of this modification. The objective of this study is to raise pan-specific antibodies that may facilitate the identification of novel expression patterns of lysine valylation.Methods:Chicken ovalbumin was valylated as an immunogen to raise polyclonal antibodies (PcAbs) in rabbits. The population of the pan-specific antibodies recognizing valylated lysine was purified using the chemically synthesized valylated peptides consisting of random amino acids. The specificity of the antibodies was evaluated using ELISA, dot blots, Western blots, and immunohistochemistry (IHC) staining in human epididymis as well.Results:A preliminary and simple strategy to make an anti-valylated lysine PcAb was developed. The recognition of the antibodies to valyllysine was evaluated as pan specific. This was useful for the detection of the newly identified valyl modification using ELISA, dot blots, and Western blots. The antibodies were also successfully utilized in IHC assays, which revealed novel valyllysine modification patterns in epididymis tissues of human.Conclusions:A new antibody tool was provided for the study of lysine valylation. The novel expression patterns of valyllysine in the epididymis suggest that this modification may be involved in sperm maturation.
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简介:AbstractIn the past decades, there have been numerous advancements in the field of technology. This has led to many scientific breakthroughs in the field of medical sciences. In this, rapidly transforming world we are having a difficult time and the problem of fatigue is becoming prevalent. So, this study aimed to understand what is fatigue, its repercussions, and techniques to detect it using machine learning (ML) approaches. This paper introduces, discusses methods and recent advancements in the field of fatigue detection. Further, we categorized the methods that can be used to detect fatigue into four diverse groups, that is, mathematical models, rule-based implementation, ML, and deep learning. This study presents, compares, and contrasts various algorithms to find the most promising approach that can be used for the detection of fatigue. Finally, the paper discusses the possible areas for improvement.
简介:Thispaperproposesalearning-basedmethodfortextdetectionandtextsegmentationinnaturalsceneimages.First,theinputimageisdecomposedintomultipleconnected-components(CCs)byNiblackclusteringalgorithm.ThenalltheCCsincludingtextCCsandnon-textCCsareverifiedontheirtextfeaturesbya2-stageclassificationmodule,wheremostnon-textCCsarediscardedbyanattentionalcascadeclassifierandremainingCCsarefurtherverifiedbyanSVM.AlltheacceptedCCsareoutputtoresultintextonlybinaryimage.Experimentswithmanyimagesindifferentscenesshowedsatisfactoryperformanceofourproposedmethod.
简介:AT-InSAR(AlongTrackInterferometricSAR)isatechniquetodetectslow-movingtargets.However,thedetectionperformanceisgreatlyinfluencedbynoiseandclutter.Inthispaper,theinfluenceofnoiseandclutteronthedetectingperformanceisanalyzed.Bysimulatingdifferentbackgroundclutterandnoise,theperformancesofthephasethresholdanddual-thresholdmethodsarediscussedindetail,andthentheadaptive-thresholdmethodisproposedwhichcangreatlyimprovethedetectionperformance.
简介:Fishfindershavealreadybeenwidelyavailableinthefishingmarketforanumberofyears.However,thesizesofthesefishfindersaretoobigandtheirpricesareexpensivetosuitfortheresearchofroboticfishormini-submarine.Thegoalofthisresearchistoproposealow-costfishdetectorandclassifierwhichsuitsforunderwaterrobotorsubmarineasaproximitysensor.Withsomepre-conditioninhardwareandalgorithms,theexperimentalresultsshowthattheproposeddesignhasgoodper-formance,withadetectionrateof100%andaclassificationrateof94%.Boththeexistingtypeoffishandthegroupbehaviorcanberevealedbystatisticalinterpretationssuchashoveringpassionandsparseswimmingmode.
简介:ObjectivesTocomparetheefficiencyoffourcommercialELISAkitsindetectingtype-specificHSV-2IgGantibodies.MaterialsandMethods:Atotalof125subjects,including105withgenitalulcers,and20controlswithoutanyhistoryofSTDswererecruitedfromtheSTDclinicfordetectionoftype-specificHSV-2IgGantibodywithdifferentkits.FourkindsofcommerciallyavailableELISAkits,includingQuidaHSV2IgGELISA(AifulangBiochemCo.Ltd.,Hangzhou),TORCH-HSV2IgG(JingmeiBiotechCo.Ltd.,Shanghai),Captia^TMHSV2IgG(Trinitybiotech,USA)andHerpeSelectT^TM2ELISAlgG(Focustechnologies,USA)wereusedforevaluation.WesternBlotassaywasperformedasagoldstandard.Results:ComparedtoWesternBlotresults,thesensitivityandspecificityofthekits(QuidaHSV2,TORCHHSV2,Captia^TMHSV2andHerpeSelect^TM2)were13.1%and98.4%,7.5%and100%,100%and11.1%,87.7%and96.7%,respectively.Thepositivepredictivevalue(PV)andnegativePVofthefourkitswere88.9%and54.3%,100%and55.5%,55.6%and100%,96.2%and89.2%,respectively.TheareasundertheROCcurveofthreekits(QuidaHSV2,Captia^TMHSV2andHerpeSelect^TM2)were0.885(0.822-0.948),0.825(0.747-0.902),0.974(0.950--0.998),respectivelyConclusion:TheperformanceofHerpeSelect^TM2isthebestamongthefourkits.Theresultsalsoindicatethatthecommerciallyavailablekitsfordetectionoftype-specificHSV2antibodyshouldbere-evaluatedintermsoftheirvalidity.
简介:Duetotheopennessofthecognitiveradionetwork,spectrumsensingdatafalsification(SSDF)canattackthespectrumsensingeasily,whilethereisnoeffectivealgorithmproposedincurrentresearchwork,sothispaperintroducesthemalicioususersremovingtotheweightsequentialprobabilityradiotest(WSPRT).Theterminals'weightisweightedbytheaccuracyoftheirspectrumsensinginformation,whichcanalsobeusedtodetectthemalicioususer.Ifoneterminalownsalowweight,itcanbetreatedasmalicioususer,andshouldberemovedfromtheaggregationcenter.SimulationresultsshowthattheimprovedWSPRTcanachievehigherperformancecomparedwiththeothertwoconventionalsequentialdetectionmethodsunderdifferentnumberofmalicioususers.
简介:AbstractBackground:Cerebrospinal fluid (CSF) has been demonstrated as a better source of circulating tumor DNA (ctDNA) than plasma for brain tumors. However, it is unclear whether whole exome sequencing (WES) is qualified for detection of ctDNA in CSF. The aim of this study was to determine if assessment of ctDNA in CSF by WES is a feasible approach to detect genomic alterations of glioblastoma.Methods:CSFs of ten glioblastoma patients were collected pre-operatively at the Department of Neurosurgery, Sun Yat-sen University Cancer Center. ctDNA in CSF and genome DNA in the resected tumor were extracted and subjected to WES. The identified glioblastoma-associated mutations from ctDNA in CSF and genome DNA in the resected tumor were compared.Results:Due to the ctDNA in CSF was unqualified for exome sequencing for one patient, nine patients were included into the final analysis. More glioblastoma-associated mutations tended to be detected in CSF compared with the corresponding tumor tissue samples (3.56 ± 0.75 vs. 2.22 ± 0.32, P = 0.097), while the statistical significance was limited by the small sample size. The average mutation frequencies were similar in CSF and tumor tissue samples (74.1% ± 6.0% vs. 73.8% ± 6.0%, P = 0.924). The R132H mutation of isocitrate dehydrogenase 1 and the G34V mutation of H3 histone, family 3A (H3F3A) which had been reported in the pathological diagnoses were also detected from ctDNA in CSF by WES. Patients who received temozolomide chemotherapy previously or those whose tumor involved subventricular zone tended to harbor more mutations in their CSF.Conclusion:Assessment of ctDNA in CSF by WES is a feasible approach to detect genomic alterations of glioblastoma, which may provide useful information for the decision of treatment strategy.
简介:USING3PRIMERPAIRSTODETECTHBVDNAINLIVERTISSUESFROMHEPATOCELLULARCARCINOMASWITHPCR TECHNIQUEChenMing陈明;LuLing吕凌;YaoJilu姚集鲁;Peng...
简介:摘要目的探讨S-Detect智能辅助诊断技术在甲状腺可疑结节诊断中临床应用价值。方法选取2019年9-12月在河南省肿瘤医院行超声检查并按美国放射学会(ACR)甲状腺影像报告与数据系统(TI-RADS)标准诊断为TI-RADS 3~4类的患者153例,分别由高年资医师、低年资医师及S-Detect对其进行良恶性鉴别诊断,然后再由高年资医师组和低年资医师组分别联合S-Detect诊断,以病理结果为金标准,绘制受试者工作特征(ROC)曲线,比较不同组间诊断结果的ROC曲线下面积、敏感性、特异性和准确性。结果153例甲状腺结节经手术病例证实良性108例(108个病灶),恶性45例(45个病灶)。S-Detect技术研究的敏感性、特异性、准确性分别为77.78%、87.04%、84.31%,高于低年资医师组的68.89%、79.63%、76.47%,但低于高年资医师组的84.44%、94.44%、91.50%;低年资组联合S-Detect后诊断的敏感性、特异性、准确性明显提高(77.78%、85.18%、83.01%)。低年资医师组联合S-Detect诊断的ROC曲线下面积(0.815)高于低年资医师组(0.743),差异有统计学意义(χ2=8.332,P=0.004);高年资医师组联合S-Detect诊断的ROC曲线下面积(0.901)与高年资医师组(0.894)比较,差异无统计学意义(χ2=0.095,P=0.756)。以病理结果为"金标准",高年资医师组联合S-Detect诊断的一致性最高(Kappa=0.797)。结论S-Detect技术诊断甲状腺的准确性较高,该技术有助于提高低年资医师诊断的特异性和准确性。