Search results for "FREQUENCY"

showing 10 items of 2158 documents

Prolonged prothrombin time, Factor VII and activated FVII levels in chronic liver disease are partly dependent on Factor VII gene polymorphisms

2005

Abstract Background. Prothrombin time is a benchmark for functional assessment in cirrhosis and Factor VII levels (FVII), crucial in determining the prothrombin time, are genetically determined. Methods. We have evaluated the prothrombin time, a number of haemostatic variables synthesised by the liver (FII, FV, FVII and activated FVII, AT and fibrinogen) and two polymorphisms of the FVII gene (5′F7 and 353R/Q) in: (a) patients with liver cirrhosis ( n  = 118), (b) patients with chronic hepatitis ( n  = 102) and (c) controls ( n  = 100). Results. By one-way analyses of variance, the prothrombin time and the mean levels of the FII, FV, FVIIc, FVIIa, and AT were statistically different between…

Liver Cirrhosismedicine.medical_specialtyCirrhosisGenotypeLiver CirrhosiFibrinogenChronic liver diseasechemistry.chemical_compoundhemic and lymphatic diseasesInternal medicineGenotypemedicineHumansAlleleAllele frequencyAllelesHepatitis ChronicProthrombin timeAllelePolymorphism GeneticHepatologyFactor VIImedicine.diagnostic_testbusiness.industryGastroenterologyFactor VIImedicine.diseaseEndocrinologychemistryCase-Control StudiesProthrombin TimebusinessCase-Control Studiemedicine.drugHuman
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The Effect of Long-Term Memory Knowledge on Rehearsal and Refreshing in Working Memory

2011

It was suggested that the impact of long-term knowledge on short-term memory (STM) could either be at encoding and maintenance or at recall (Thorn, Frankish, & Gathercole, 2009). In two experiments, we manipulated the characteristics of long-term knowledge through word-frequency or lexicality. We also varied the implication of the mechanisms of maintenance, refreshing or rehearsal. First, the effect of long-term knowledge on refreshing was investigated manipulating frequency of words to remember and attentional load of the concurrent processing. No interaction between word frequency and cognitive load was found. A second experiment investigated the effect of long-term knowledge on both rehe…

Long-term KnowledgePhonological rehearsalAttentional refreshingFrequency[SCCO] Cognitive scienceLexicality
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The influence of land use on the genetic structure of populations of the common frog Rana temporaria

1990

In order to find out the influence of land use and topographic distance on the genetic structure of populations of the common frog Rana temporaria L. in the Saar-Palatinate lowlands (Federal Republic of Germany), tissue of larvae was examined by means of horizontal starch gel electrophoresis. A total of 24 loci coding for 14 different enzymes were studied. Genotype frequencies, allele frequencies and mean heterozygosity were calculated, and genetic distances using Nei's formula. Strong deviations from the Hardy-Weinberg equilibrium were found; the degree of homozygosity was higher than expected. Separation by highways reduced average heterozygosity as well as genetic polymorphism of local p…

Loss of heterozygosityBiotopeLand useEcologyRange (biology)Genetic structureBiologyAllele frequencyEcology Evolution Behavior and SystematicsNature and Landscape ConservationRanaGenotype frequencyBiological Conservation
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MATLAB codes implementing the generalized cross-wavelet transform (GXWT) algorithm described in the paper "Analyzing multidimensional movement intera…

2021

MATLAB codes implementing the generalized cross-wavelet transform (GXWT) algorithm described in the paper "Analyzing multidimensional movement interaction with generalized cross-wavelet transform" (Toiviainen & Hartmann, 2021). Basic workflow for multivariate (time by channel) signals d1 and d2: [w1,f] = cwtensor(d1,FS,MINF,MAXF); [w2,f] = cwtensor(d2,FS,MINF,MAXF); [xs p1 p2] = getxwt(w1,w2); NOTE: cwtensor.m requires the Wavelet Toolbox for MATLAB.

MATLABcoordinationvuorovaikutusfrequencytaajuusinteractionspectrum analysiskoordinaatiospektrianalyysi
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Reproductive and Obstetric Outcomes after UAE, HIFU, and TFA of Uterine Fibroids: Systematic Review and Meta-Analysis

2023

Novel treatment options for uterine fibroids, such as uterine artery embolization (UAE), ultrasound-guided and magnetic resonance-guided high-intensity focused ultrasound (USgHIFU and MRgHIFU), and transcervical radiofrequency ablation (TFA) methods, are widely used in clinical practice. This systematic review and meta-analysis (CRD42022297312) aims to assess and compare reproductive and obstetric outcomes in women who underwent these minimally invasive approaches for uterine fibroids. The search was performed in PubMed, Google Scholar, ScienceDirect, Cochrane Library, Scopus, Web of Science and Embase. Risk of bias was assessed using the Newcastle–Ottawa Scale (NOS) and Cochrane guidelines…

MRgHIFU UAE USgHIFU Leiomyoma Pregnancy Transcervical radiofrequency ablation Uterine fibroidsHealth Toxicology and MutagenesisPublic Health Environmental and Occupational HealthSettore MED/40 - Ginecologia E OstetriciaInternational Journal of Environmental Research and Public Health
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A case study on feature sensitivity for audio event classification using support vector machines

2016

Automatic recognition of multiple acoustic events is an interesting problem in machine listening that generalizes the classical speech/non-speech or speech/music classification problem. Typical audio streams contain a diversity of sound events that carry important and useful information on the acoustic environment and context. Classification is usually performed by means of hidden Markov models (HMMs) or support vector machines (SVMs) considering traditional sets of features based on Mel-frequency cepstral coefficients (MFCCs) and their temporal derivatives, as well as the energy from auditory-inspired filterbanks. However, while these features are routinely used by many systems, it is not …

Machine listeningComputer sciencebusiness.industryEvent (computing)Speech recognitionFeature extractionContext (language use)Pattern recognition02 engineering and technologySupport vector machine030507 speech-language pathology & audiology03 medical and health sciencesComputingMethodologies_PATTERNRECOGNITION0202 electrical engineering electronic engineering information engineeringFeature (machine learning)020201 artificial intelligence & image processingArtificial intelligenceMel-frequency cepstrum0305 other medical sciencebusinessHidden Markov model2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)
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A wavelet analysis of US fiscal sustainability

2015

Abstract In this paper, we reassess the relationship between primary deficit and lagged debt to GDP ratio (Bohn, 1998), to test for US debt sustainability over the period 1795–2012. Our analysis is rooted in the wavelet domain enabling the detection of interesting patterns and otherwise hidden information. We find evidence of long term fiscal sustainability but only up until 1995 and also we show that governments tend to respond more vigorously to budget deficits when the level of debt is high rather than low.

MacroeconomicsEconomics and EconometricsWavelet coherencemedia_common.quotation_subjecteducationDebt-to-GDP ratioPrimary deficitSettore SECS-P/05 - EconometriahumanitiesTerm (time)WaveletDebtSustainabilityEconomicsWavelet coherence Public debt sustainability Time–frequency decompositionFiscal sustainabilityhealth care economics and organizationsmedia_common
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A Novel Semi-Supervised Methodology for Extracting Tumor Type-Specific MRS Sources in Human Brain Data

2013

Background: The clinical investigation of human brain tumors often starts with a non-invasive imaging study, providing \ud information about the tumor extent and location, but little insight into the biochemistry of the analyzed tissue. Magnetic \ud Resonance Spectroscopy can complement imaging by supplying a metabolic fingerprint of the tissue. This study analyses \ud single-voxel magnetic resonance spectra, which represent signal information in the frequency domain. Given that a single \ud voxel may contain a heterogeneous mix of tissues, signal source identification is a relevant challenge for the problem of\ud tumor type classification from the spectroscopic signal.\ud Methodology/Princ…

Magnetic Resonance SpectroscopyStatistics as TopicBioinformaticsSignalDiagnostic RadiologyEngineeringDiscriminative modelBasic Cancer ResearchMathematical ComputingNeurological TumorsComplement (set theory)PhysicsMultidisciplinaryBrain NeoplasmsApplied MathematicsQRBrainMagnetic Resonance ImagingIdentification (information)OncologyFrequency domainMetric (mathematics)MedicineRadiologyAlgorithmsResearch ArticleScienceLipid signalingGlioblastoma multiformeMatrix decompositionRC0254Magnetic resonance imagingCancer detection and diagnosisMagnetic resonance spectroscopyCancer Detection and DiagnosisHumansPrototypesbusiness.industryFingerprint (computing)Cancers and NeoplasmsData acquisitionPattern recognitionComputing MethodsR1Computer ScienceSignal ProcessingRC0321Artificial intelligencebusinessMathematics
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Synthesis, crystal structure and magnetic properties of a novel heterobimetallic rhenium(IV)-dysprosium(III) chain.

2015

The use of the mononuclear rhenium(IV) precursor [ReBr5 (H2 pydc)](-) (H2 pydc=3,5-pyridinedicarboxylic acid) as a metalloligand towards dysprosium(III) afforded the first heterobimetallic Re(IV) -Dy(III) complex. Crystal structures and static and dynamic magnetic properties of both rhenium-containing species are reported herein. The 5d-4f compound shows an extended 1D structure and the AC magnetic measurements reveal frequency dependence at low temperature suggesting slow relaxation of the magnetization.

Magnetic measurementsChemistryOrganic ChemistryRelaxation (NMR)Inorganic chemistrychemistry.chemical_elementGeneral ChemistryFrequency dependenceCrystal structureRheniumCatalysisMagnetizationCrystallographyChain (algebraic topology)DysprosiumChemistry (Weinheim an der Bergstrasse, Germany)
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Radial and peripheral clines in northern polymorphic populations of Philaenus spumarius

2009

Geographic variability in the colour polymorphism of Philaenus spumarius (Homoptera) was investigated in the northern parts of Finland, Norway and Sweden. The investigation was directed mainly at peripheral populations south of the Baltic—Arctic divide. The colour phenotypes were found to differ in their “north tolerance”. The phenotypes typ (pt/pt) and lat (pt/pt) were the most, and the phenotype tri (pt/pT) the least tolerant to marginal conditions. Differences in “north tolerance” between the phenotypes cause radial clines to be present in allele frequencies. The radial clines may be caused by the combined effect of several different factors. These include shortness of the thermal growth…

Male0106 biological sciencesFood plantPhilaenusSensitive indexHomopteraPhilaenus spumarius010603 evolutionary biology01 natural sciencesHemiptera03 medical and health sciencesSex FactorsGenetic driftGeneticsAnimalsAllele frequencyFinland030304 developmental biologySweden0303 health sciencesPolymorphism GeneticEcologyGeographybiologyNorwayEcologyHumidityGeneral Medicinebiology.organism_classificationBiological EvolutionPhenotypeFemaleHereditas
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