Search results for "characteristic curve"

showing 10 items of 18 documents

Evaluation of serum s-IgE/total IgE ratio in predicting clinical response to allergen-specific immunotherapy.

2009

Background: To date, no predictive tests for the clinical response to allergen-specific immunotherapy (ASI) are available. Therefore an in vivo or in vitro test would be of great value. Objective: We sought to evaluate pretreatment parameters used in diagnosing allergic rhinitis and determining serum specific IgE (s-IgE) levels, serum total IgE (t-IgE) levels, and blood eosinophil counts and to identify whether can be used to predict clinical improvement in monosensitized patients with allergic rhinitis with or without asthma treated with immunotherapy. Methods:We analyzed 279 patients who had undergone 4 years of ASI administered either by means of the subcutaneous immunotherapy (76 patien…

AdultMaleAllergySettore MED/09 - Medicina InternaRhinitis Allergic PerennialAdolescentmedicine.medical_treatmentImmunologyspecific IgEImmunoglobulin Eblood eosinophil countsYoung AdultBlood serummedicineImmunology and AllergyHumansreceiver operating characteristic curveAsthmaDesensitization (medicine)Retrospective StudiesSkin Testsserum s-IgE/total IgE ratio; allergen-specific immunotherapyHouse dust miteserum s-IgE/total IgE ratiobiologyserum-specific IgE/serum total IgE ratiobusiness.industryAllergen-specific immunotherapy; blood eosinophil counts; receiver operating characteristic curve; serum-specific IgE/serum total IgE ratio; specific IgE; total IgEArea under the curveImmunotherapyAllergensImmunoglobulin EMiddle Agedmedicine.diseasebiology.organism_classificationPrognosisAllergen-specific immunotherapyBlood Cell Counttotal IgEEosinophilsTreatment OutcomeDesensitization ImmunologicSpirometryImmunologybiology.proteinFemalebusiness
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Gender-specific anthropometric markers of adiposity, metabolic syndrome and visceral adiposity index (VAI) in patients with obstructive sleep apnea

2013

Obstructive sleep apnea often coexists with visceral adiposity and metabolic syndrome. In this study, we analysed gender-related differences in anthropometrics according to sleep apnea severity and metabolic abnormalities. In addition, the visceral adiposity index, a recently introduced marker of cardiometabolic risk, was analysed. Consecutive subjects with suspected obstructive sleep apnea (n = 528, 423 males, mean age ± standard deviation: 51.3 ± 12.8 years, body mass index: 31.0 ± 6.2 kg m(-2) ) were studied by full polysomnography (apnea-hypopnea index 43.4 ± 27.6 h(-1) ). Variables of general and visceral adiposity were measured (body mass index, neck, waist and hip circumferences, wai…

AdultMalemedicine.medical_specialtyWaistPolysomnographyCognitive NeuroscienceBlood PressurePolysomnographySettore MED/10 - Malattie Dell'Apparato Respiratorioreceiving-operator characteristic curveCardiovascular SystemBody Mass IndexBehavioral NeuroscienceInsulin resistanceInternal medicinemedicineHumansObesityAdiposityMetabolic SyndromeSex CharacteristicsSleep Apnea ObstructiveAnthropometrymedicine.diagnostic_testWaist-Hip Ratiobusiness.industryMetabolic Syndrome XSleep apneaGeneral MedicineSex CharacteristicMiddle Agedmedicine.diseaseObesityrespiratory tract diseasesObstructive sleep apneaEndocrinologyfat distributionBiological MarkerCardiologyFemalewomenWaist CircumferenceInsulin ResistanceMetabolic syndromebusinessBody mass indexBiomarkersHumanJournal of Sleep Research
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Analysis of a database to predict the result of allergy testing in vivo in patients with chronic nasal symptoms and the development of the software A…

2014

Background. This thesis consist of parts(i)Introduction in wich we present the clinical problem of rhinitis;(ii)the methods to evaluate the diagnostic choises;(iii)the rational errors in Allergy,(iv)the experimental part of thesis with wich we developed the software ARTSTAT,wich is the application of the analysis reported.Objective: We studied the ability of the logistic regression model obtained by the evaluaqtion of a database, to detect patients with positive allergy skin prick test(SPT)and patients with negative SPT. The model developed was valitated using the data set obtained from another medical institution. Methods: The analysis was carried out using a database obtained from a quest…

Allergic rhinitis Nonallergic rhinitis Decision Matrix Logistic regression model Receiver Operating Characteristic curve probability Diagnostic decision making nasal symptom Skin prick test (SPT) Cognitive Errors
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A device for PV modules I-V characteristic detection

2013

In this paper an electronic load suitable for the PV module I-V characteristic curve fast detection is presented. This device is designed in agreement with the IEC 82 Techinical Committee Standard since it allows the detection of the characteristic starting from voltage values even lower than 3% of the PV module open circuit voltage. The device main features are short time characteristc detection (2 s), limited ripple of the detected characteristic and low cost. Its validation is carried out by comparing measured data with data from simulations. Simulations are carried out considering two different commercial PV modules and by implementing in Matlab-Simulink environment the four lumped para…

EngineeringSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryOpen-circuit voltageRippleElectronic load four lumped parameters model I-V Characteristic Curves Maximum Power PointDevice PropertiesSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciElectronic loadElectronic engineeringIec standardsbusinessVoltageNominal power (photovoltaic)
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Design, sizing and set up of a specific low cost electronic load for PV modules characterization

2013

In this paper, the design, sizing and set-up of a specific low cost electronic load, based on a DC-DC step-down converter, suitable for the PV module I - V characteristic curves determination, is described. In particular, for its set up, a low cost and user friendly micro-controller has been employed in order to generate the PWM signal. The measures carried out connecting the electronic load prototype to a commercial PV module are here presented and discussed. The conceived electronic load has allowed the determination of 80% of the PV module characteristic curves in 2 s. This low measurement time, lower than the time intervals in which weather conditions may change, allows to assume as con…

EngineeringSignal generatorbusiness.industryRippleSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciSignalSizingElectronic Load PV modules I-V characteristic curvesSet (abstract data type)MicrocontrollerElectronic engineeringMATLABbusinesscomputerPulse-width modulationcomputer.programming_language2013 Eighth International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER)
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Hybrid chaotic firefly decision making model for Parkinson’s disease diagnosis

2020

Parkinson’s disease is found as a progressive neurodegenerative condition which affects motor circuit by the loss of up to 70% of dopaminergic neurons. Thus, diagnosing the early stages of incidence is of great importance. In this article, a novel chaos-based stochastic model is proposed by combining the characteristics of chaotic firefly algorithm with Kernel-based Naïve Bayes (KNB) algorithm for diagnosis of Parkinson’s disease at an early stage. The efficiency of the model is tested on a voice measurement dataset that is collected from “UC Irvine Machine Learning Repository.” The dynamics of chaos optimization algorithm will enhance the firefly algorithm by introducing six types of chao…

Firefly protocolParkinson's diseasekernel density estimation functionComputer Networks and CommunicationsComputer scienceDopaminergicGeneral EngineeringChaotic020206 networking & telecommunications02 engineering and technologymedicine.diseaseChaos theorylcsh:QA75.5-76.95chaotic mapscalibration measure0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processinglcsh:Electronic computers. Computer sciencereceiver operating characteristic curvemetaheuristic algorithmNeuroscienceInternational Journal of Distributed Sensor Networks
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Discussion of “Soil Water Retention Characteristics of Vertisols and Pedotransfer Functions Based on Nearest Neighbor and Neural Networks Approaches …

2013

HYDRAULIC PROPERTIESArtificial neural networkPREDICTIONSWRCSoil scienceSoil Water Retention Curve Soil Shrinkage Characteristic CurveVertisolHYDRAULIC PROPERTIES; SHRINKAGE; PREDICTION; SWRC; ANNAgricultural and Biological Sciences (miscellaneous)k-nearest neighbors algorithmPedotransfer functionSoil waterSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSHRINKAGEANNWater Science and TechnologyCivil and Structural EngineeringMathematics
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Dysfunction of attention switching networks in amyotrophic lateral sclerosis

2019

Objective To localise and characterise changes in cognitive networks in Amyotrophic Lateral Sclerosis (ALS) using source analysis of mismatch negativity (MMN) waveforms. Rationale The MMN waveform has an increased average delay in ALS. MMN has been attributed to change detection and involuntary attention switching. This therefore indicates pathological impairment of the neural network components which generate these functions. Source localisation can mitigate the poor spatial resolution of sensor-level EEG analysis by associating the sensor-level signals to the contributing brain sources. The functional activity in each generating source can therefore be individually measured and investigat…

MaleMismatch negativitySource localisationEEG ElectroencephalographyMismatch negativityNetworkElectroencephalographylcsh:RC346-429PET Positron emission tomographyCognition0302 clinical medicineC9orf72AttentionEEGAUROC Area under receiver operating characteristic curveAmyotrophic lateral sclerosisAged 80 and overmedicine.diagnostic_test05 social sciencesCognitive flexibilityBrainRegular ArticleElectroencephalographyCognitionMiddle AgedSTG Superior temporal gyrusNeurologyMTG Mid temporal gyrusDLPFC Dorsolateral prefrontal cortexlcsh:R858-859.7FemaleLCMV Linearly constrained minimum varianceIFG Inferior frontal gyrusAdultCognitive Neurosciencelcsh:Computer applications to medicine. Medical informatics050105 experimental psychologyCWIT Colour-word interference test03 medical and health sciencesfMRI Functional magnetic resonance imagingMEG MagnetoencephalographymedicineMMN Mismatch negativityHumans0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingLS Amyotrophic Lateral SclerosisAAL Automated Anatomical Labellinglcsh:Neurology. Diseases of the nervous systemAEP Auditory evoked potentialAgedbusiness.industryAmyotrophic Lateral SclerosisIQR Interquartile rangeNeurophysiologyqEEG Quantitative EEGmedicine.diseaseNeurology (clinical)Nerve NetFunctional magnetic resonance imagingbusinessNeuroscience030217 neurology & neurosurgeryeLORETA Exact low-resolution brain electromagnetic tomographyNeuroImage: Clinical
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Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3–16 years from multiple raters in six cohorts …

2018

Childhood aggression and its resulting consequences inflict a huge burden on affected children, their relatives, teachers, peers and society as a whole. Aggression during childhood rarely occurs in isolation and is correlated with other symptoms of childhood psychopathology. In this paper, we aim to describe and improve the understanding of the co-occurrence of aggression with other forms of childhood psychopathology. We focus on the co-occurrence of aggression and other childhood behavioural and emotional problems, including other externalising problems, attention problems and anxiety-depression. The data were brought together within the EU-ACTION (Aggression in Children: unravelling gene-…

MaleNetherlands Twin Register (NTR)aggressiivisuusPoison controlCHILDRENCBCLComorbidity3124 Neurology and psychiatryCohort Studies0302 clinical medicine3123 Gynaecology and paediatricsADOLESCENTSCo-occurrenceDevelopmental and Educational PsychologyChild and adolescent psychiatryChild10. No inequalitykomorbiditeettiOUTCOMESATTENTION-DEFICIT/HYPERACTIVITY DISORDERHERITABILITY05 social sciencesBIPOLAR DISORDERGeneral MedicineStrengths and Difficulties Questionnairetunne-elämän häiriötJustice and Strong InstitutionsAggressionPsychiatry and Mental healthConduct disorderDUTCH TWINSChild PreschoolFemalemedicine.symptomPsychology050104 developmental & child psychologyClinical psychologyCHARACTERISTIC CURVE ANALYSISmedicine.medical_specialtySDG 16 - PeaceAdolescent515 PsychologyChild psychopathologyChild Behavior Disorders03 medical and health sciencesMENTAL-DISORDERSInjury prevention/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_medicineHumans0501 psychology and cognitive sciencesAffective SymptomsBehavioural and emotional problemsAggressionSDG 16 - Peace Justice and Strong Institutionslapsuusmedicine.disease/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutionsChildhoodkäyttäytymishäiriötCONDUCT DISORDERPediatrics Perinatology and Child HealthCo-occurence030217 neurology & neurosurgery
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Clinical importance of eosinophil count in nasal fluid in patients with allergic and non-allergic rhinitis

2009

Eosinophil count in nasal fluid (ECNF) was used to differentiate nasal pathologies. Receiver Operating Characteristic (ROC) curve analysis and the area under the curve (AUC) were performed to evaluate the ECNF's accuracy in distinguishing allergic rhinitis (AR) from non-allergic rhinitis (NAR). We also evaluated the accuracy of ECNF in recognizing patients with mild and severe symptoms of rhinitis and patients with ineffective and effective clinical responses to antihistamines. 1,170 consecutive adult patients with a clinical history of rhinitis were studied. ECNF's median in AR was 6.0 and 2.0 in NAR and the best cut-off value was > 3.0, AUC = 0.75. ECNF's median in AR with mild nasal …

MaleSettore MED/09 - Medicina InternaNon-allergic rhinitisSeverity of Illness IndexGastroenterologyLeukocyte CountImmunology and AllergyClinical severityRhinitisAged 80 and overArea under the curvenasal fluidMiddle AgedTreatment Outcomemedicine.anatomical_structureArea Under CurveFemalenon-allergic rhinitiseosinophil count; nasal fluid; allergic rhinitis; non-allergic rhinitisAdultmedicine.medical_specialtyRhinitis Allergic PerennialAdolescenteosinophil countImmunologyHistamine AntagonistsDiagnosis DifferentialYoung AdultPredictive Value of TestsInternal medicinemedicineHumansIn patientAgedNasal fluidPharmacologyallergic rhinitisReceiver operating characteristicbusiness.industryPatient Selectioneosinophil count in nasal fluid allergic rhinitis non allergic rhinitisreceiveroperating characteristic curveCurve analysisRhinitis Allergic SeasonalEosinophilNasal Lavage Fluidmedicine.diseaseEosinophilsROC Curvebusiness
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