Search results for "eps"

showing 10 items of 1777 documents

Investigation of insulin resistance in narcoleptic patients: dependent or independent of body mass index?

2011

Alice Engel1,2, Jana Helfrich1, Nina Manderscheid1, Petra B Musholt3, Thomas Forst3, Andreas Pfützner3, Norbert Dahmen1,21Department of Psychiatry, University of Mainz, Germany; 2Fachklinik Katzenelnbogen, Katzenelnbogen, Germany; 3IKFE, Institute for Clinical Research and Development, Mainz, GermanyBackground: Narcolepsy is a severe sleep-wake cycle disorder resulting in most cases from a lack of orexin, the energy balance-regulating hormone. Narcoleptic patients have been reported to suffer from an excess morbidity of Type 2 diabetes, even after correction for their often elevated body mass index.Methods: To explore whether narcolepsy is specifically associated with a propensity …

insulinobesitymedicine.medical_specialtyPathologyNeuropsychiatric Disease and Treatmentmedicine.medical_treatmentnarcolepsyNeurosciences. Biological psychiatry. NeuropsychiatryType 2 diabetesInsulin resistanceInternal medicinemedicineintact proinsulinRC346-429Biological PsychiatryOriginal ResearchProinsulinbusiness.industryInsulinmedicine.diseaseOrexinPsychiatry and Mental healthEndocrinologyHomeostatic model assessmentNeurology. Diseases of the nervous systemfasting glucosebusinessBody mass indexRC321-571NarcolepsyNeuropsychiatric Disease and Treatment
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One Dimensional Convolutional Neural Networks for Seizure Onset Detection Using Long-term Scalp and Intracranial EEG

2021

Epileptic seizure detection using scalp electroencephalogram (sEEG) and intracranial electroencephalogram (iEEG) has attracted widespread attention in recent two decades. The accurate and rapid detection of seizures not only reflects the efficiency of the algorithm, but also greatly reduces the burden of manual detection during long-term electroencephalogram (EEG) recording. In this work, a stacked one-dimensional convolutional neural network (1D-CNN) model combined with a random selection and data augmentation (RS-DA) strategy is proposed for seizure onset detection. Firstly, we segmented the long-term EEG signals using 2-sec sliding windows. Then, the 2-sec interictal and ictal segments w…

intracranial electroencephalogram (iEEG)convolutional neural networks (CNN).signaalinkäsittelyscalp electroencephalogram (sEEG)epilepsyseizure detectionsignaalianalyysineuroverkotEEGepilepsia
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Invasive mussels directly threat intertidal vermetid reef: some evidences from a Sicilian MPA

2009

Biological invasions pose a great threat to natural communities. Brachidontes pharaonis is an Eritrean mussel that has accessed in the Mediterranean sea shortly after the opening of the Suez Canal. At the beginning it had a restrained distribution with small local populations along the Israeli intertidal coast. More than a hundred years later it spread westward as far as NW Sicily, colonizing some hyperaline and natural habitats. Previous studies along the Israeli coast have proved that anthropogenic habitat modi#- cations occurring on vermetid reefs may promote the colonization of this invasive mussel causing a reduction of the indigenous mussel Mytilaster minimus. This study focuses on a …

invasive species brachodontes pharaonis lessepsian species vermetid reef Mediterranean
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Jättiläisen jalanjäljillä : improvisaatiolinjan melodiset liikkeet sointujen vaihdoskohdissa

2007

jazzColtrane JohnGiant stepsimprovisointisoinnutus
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Changes in Muscle Activity Patterns and Joint Kinematics During Gait in Hemophilic Arthropathy

2020

Hemophilic arthropathy is the result of repetitive intra-articular bleeding and synovial inflammation. In people with hemophilic arthropathy (PWHA), very little is known about the neural control of individual muscles during movement. The aim of the present study was to assess if the neural control of individual muscles and coordination between antagonistic muscle pairs and joint kinematics during gait are affected in PWHA. Thirteen control subjects (CG) walked overground at their preferred and slow velocity (1 m/s), and 14 PWHA walked overground at the preferred velocity (1 m/s). Joint kinematics and temporal gait parameters were assessed using four inertial sensors. Surface electromyograph…

joint damageelectromyographyPhysiologyVastus medialisElectromyography030204 cardiovascular system & hematologyKnee JointBicepslcsh:Physiologyknee joint03 medical and health sciences0302 clinical medicinePhysiology (medical)medicineankle jointlower limb kinematicsOriginal Researchmedicine.diagnostic_testlcsh:QP1-981business.industryAnatomymusculoskeletal systemGaithemophilic arthropathymedicine.anatomical_structureGait analysisgait analysisAnkleRange of motionbusiness030217 neurology & neurosurgeryFrontiers in Physiology
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k-epsilon Predictions of Heat Transfer in Turbulent Recirculating Flows Using an Improved Wall Treatment

1989

k-epsilonCFDTurbulence ModelHeat TransferFluid FlowWall FunctionsSettore ING-IND/19 - Impianti Nucleari
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Ihibitory katepsyny C

2011

katepsyna CpeptydomimetykiDPPIinhibitory
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Kognitīvo metaforu analīze mākslinieka Ēzopa Roka (Aesop Rock) albumā „Skelets” (Skelethon)

2018

Reps ir mūzikas žanrs, kurā valodas daudzpusība un autentiskums spēlē nozīmīgu lomu. Šo aspektu radošā izpausme nereti izpaužas kognitīvajās metaforās. Šajos gadījumos koncepti kā ‘repa duelis’ un performances spējas iekļaujas jaunos kognitīvajos rāmjos, piemēram ‘karš’,‘apokalipse’ un ‘dabas spēki’. Ēzops Roks pieder specifiskai reperu apakšgrupai – mugursomas (backpacker) reperiem, un viņa albums Skelets (Skelethon) tiek uzskatīts par vienu no nozīmīgākajiem darbiem šajā žanrā. Līdz ar to šī darba pētījuma mērķis ir analizēt kognitīvo metaforu lietojumu Ēzopa Roka dziesmu vārdos no albuma ‘Skelets’. Metaforām, kuras identificētas ar metaforu identifikācijas procedūru MIPVU, tika veikta sa…

kognitīvā metaforaĒzops RoksValodniecībaMIPVUrepsmetaforiskais radošums
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Channel Increment Strategy-Based 1D Convolutional Neural Networks for Seizure Prediction Using Intracranial EEG

2022

The application of intracranial electroencephalogram (iEEG) to predict seizures remains challenging. Although channel selection has been utilized in seizure prediction and detection studies, most of them focus on the combination with conventional machine learning methods. Thus, channel selection combined with deep learning methods can be further analyzed in the field of seizure prediction. Given this, in this work, a novel iEEG-based deep learning method of One-Dimensional Convolutional Neural Networks (1D-CNN) combined with channel increment strategy was proposed for the effective seizure prediction. First, we used 4-sec sliding windows without overlap to segment iEEG signals. Then, 4-sec …

koneoppiminensignaalinkäsittelyGeneral NeuroscienceRehabilitationBiomedical EngineeringInternal MedicinesignaalianalyysisyväoppiminenennusteetEEGneuroverkotepilepsiaIEEE Transactions on Neural Systems and Rehabilitation Engineering
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Biomarķieru metode kuņģa gļotādas atrofijas noteikšanai

2014

Promocijas darba „Biomarķieru metode kuņģa gļotādas atrofijas noteikšanai” anotācija latviešu valodā Pētījumā tika veikta kuņģa biomarķieru metodes validācija, salīdzinot metodes rezultātus ar standartizēti veiktiem morfoloģijas izmeklējumu rezultātiem. Iegūtie dati parāda labu korelāciju starp PGI/II attiecību un kuņģa korpusa daļas atrofiju (p<0.0001) ar jutību (83.3%), kopējo precizitāti (86.7%). Biomarķieru samazinājums PGI un PGI/II tika noteikts atbilstoši paaugstinoties OLGA gastrīta stadijām. Mazāk pieņemama bija samazinātās sG-17 vērtības uzrādīja labu korelāciju ar kuņģa vārtnieka daļas atrofiju (p=0.007), neskatoties uz jutību, kas bija ievērojami zema (36.8%). Samazinātām G-17 u…

kuņģa biomarķieriInternā medicīna un gastroenteroloģijagastrīns-17pepsinogēnigastroenterologyMedicīna un farmācijaAtrofisks gastrītsInternal medicineVeselības aprūpeMedicīna
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