Search results for "ECoG"

showing 10 items of 3774 documents

Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistic…

2008

Abstract Background Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analysis and Classification, in particular with regard to the prediction of the number of clusters in a dataset, usually established via internal validation measures. Despite the wealth of internal measures available in the literature, new ones have been recently proposed, some of them specifically for microarray data. Results We consider five such measures: Clest, Consensus (Consensus Clustering), FOM (Figure of Merit), Gap (Gap Statistics) and ME (Model Explorer), in addition to the classic WCSS (Within Cluster…

clustering microarray dataMicroarrayComputer scienceStatistics as Topiccomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsBiochemistryStructural BiologyDatabases GeneticConsensus clusteringStatisticsCluster (physics)AnimalsCluster AnalysisHumansCluster analysislcsh:QH301-705.5Molecular BiologyOligonucleotide Array Sequence AnalysisStructure (mathematical logic)Microarray analysis techniquesApplied MathematicsComputational BiologyComputer Science ApplicationsBenchmarkingComputingMethodologies_PATTERNRECOGNITIONlcsh:Biology (General)Gene chip analysislcsh:R858-859.7Data miningDNA microarraycomputerAlgorithmsSoftwareResearch ArticleBMC Bioinformatics
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How Literacy Shapes Orthographic Processing

2022

La lectura es una habilidad indispensable en nuestra sociedad. Sin ella, no podríamos acceder a la historia, o aprender de nuestros avances y retrocesos. Resulta casi milagroso que el Homo sapiens hiciera unas marcas en una piedra para aumentar drásticamente su capacidad de memoria. Estas marcas en la piedra, que serían lo que ahora llamamos letras, se convirtieron en herramientas. Herramientas que alteran la maquinaria cerebral para conectar las formas visuales con un significado, es decir, para sustentar la lectura. Hoy en día, la lectura es parte de nuestra vida cotidiana hasta tal punto que no nos damos cuenta de su complejidad. Cuando leemos, nuestros ojos saltan de palabra a palabra, …

cognitionorthographic processingreading:PSICOLOGÍA [UNESCO]UNESCO::PSICOLOGÍAvisual word recognition
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A Non-Local Mode-I Cohesive Model for Ascending Thoracic Aorta Dissections (ATAD)

2018

This paper presents a non-local interface mechanical model to describe aortic dissection. In this regard, the mode-I debonding problem based on a cohesive zone modeling is endowed with non-local terms to include long-range interactions that are present in multi-layered biological tissue. Such non-local effects are related to the collagen fibers that transmit forces between non-adjacent elements. Numerical simulations are provided with different values of the non-local parameters in order to show the effect of the non-locality during the debonding processes.

cohesive zone modelSettore MED/09 - Medicina InternaMaterials scienceEnergy Engineering and Power Technologydebonding processIndustrial and Manufacturing Engineeringbiomechanicsnon-local effectsArtificial Intelligencemedicine.arterybiomechanics; cohesive zone model; debonding process; non-local effectsmedicineThoracic aortaInstrumentationdebonding proceAortic dissectionRenewable Energy Sustainability and the EnvironmentMode (statistics)BiomechanicsComputer Science Applications1707 Computer Vision and Pattern RecognitionMechanicsBiological tissuemedicine.diseaseNon localCohesive zone modelComputer Networks and Communicationnon-local effectbiomechanicSettore ICAR/08 - Scienza Delle Costruzioni
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Uso de la ecografía con contraste en el diagnóstico y manejo de la colecistitis aguda gangrenosa

2017

INTRODUCCIÓN La colecistitis aguda gangrenosa es considerada un verdadero reto para el cirujano general, no ya solo por la dificultad diagnóstica de la misma, sino por la necesidad de un tratamiento rápido y agresivo, por lo que en muchas ocasiones está asociado a una mayor morbilidad y mortalidad perioperatoria. La colecistitis gangrenosa es una evolución de la colecistitis aguda y suele observarse cuando se produce un retraso en el diagnóstico desde el inicio de los síntomas. El aumento de la tensión de la pared vesicular secundario a la obstrucción persistente del conducto cístico acarrea una lesión en el epitelio debido a la insuficiencia vascular subyacente. Estos cambios son los causa…

colecistitis aguda gangrenosaecografía con contrastediagnóstico
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Utilidad de la ecografía inicial para predecir la gravedad de la colitis isquémica

2015

La colitis isquémica es la forma más frecuente de isquemia intestinal. Surge cuando el colon se ve privado del flujo vascular y en la mayoría de los casos no se identifica ninguna causa específica. Desde el punto de vista anatomopatológico y de evolución se habla de una forma gangrenosa con necrosis transmural, con una alta mortalidad; y de una forma no gangrenosa caracterizada por lesiones limitadas a la mucosa o submucosa, y que se resuelve normalmente con solo tratamiento médico. En la literatura se han descrito ampliamente los hallazgos de la colitis isquémica en las exploraciones radiográficas con enema de bario y tomografía computarizada, sin embargo hay pocas publicaciones sobre los …

colitis isquémicaUNESCO::CIENCIAS MÉDICAS:CIENCIAS MÉDICAS [UNESCO]ecografía
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Pathologies of Collective Recognition

2015

collective recognition
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Ecografia convenzionale versus ecografia integrata con “compound digitale” nello studio del tendine d’achille in pazienti con ipercolesterolemia fami…

2006

compound digitaletendine d’Achilleipercolesterolemia familiare eterozigoticaEcografiatendine d’Achilleipercolesterolemia familiare eterozigotica
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Applying fully tensorial ICA to fMRI data

2016

There are two aspects in functional magnetic resonance imaging (fMRI) data that make them awkward to analyse with traditional multivariate methods - high order and high dimension. The first of these refers to the tensorial nature of observations as array-valued elements instead of vectors. Although this can be circumvented by vectorizing the array, doing so simultaneously loses all the structural information in the original observations. The second aspect refers to the high dimensionality along each dimension making the concept of dimension reduction a valuable tool in the processing of fMRI data. Different methods of tensor dimension reduction are currently gaining popUlarity in literature…

computer.software_genre01 natural sciencesTask (project management)010104 statistics & probability03 medical and health sciences0302 clinical medicineDimension (vector space)medicinePreprocessorTensor0101 mathematicsMathematicsta112medicine.diagnostic_testbusiness.industryDimensionality reductionfMRIPattern recognitionIndependent component analysisdataPrincipal component analysisData miningArtificial intelligencefunctional magnetic resonance imaging databusinessFunctional magnetic resonance imagingcomputer030217 neurology & neurosurgery2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)
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One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals

2021

Deep learning for the automated detection of epileptic seizures has received much attention during recent years. In this work, one dimensional convolutional neural network (1D-CNN) and two dimensional convolutional neural network (2D-CNN) are simultaneously used on electroencephalogram (EEG) data for seizure detection. Firstly, using sliding windows without overlap on raw EEG to obtain the definite one-dimension time EEG segments (1D-T), and continuous wavelet transform (CWT) for 1D-T signals to obtain the two-dimension time-frequency representations (2D-TF). Then, 1D-CNN and 2D-CNN model architectures are used on 1D-T and 2D-TF signals for automatic classification, respectively. Finally, t…

convolutional neural networks (CNN)Computer scienceseizure detection02 engineering and technologyneuroverkotElectroencephalographyConvolutional neural network0202 electrical engineering electronic engineering information engineeringmedicineEEGContinuous wavelet transformSignal processingArtificial neural networkmedicine.diagnostic_testbusiness.industryelectroencephalogram (EEG)signaalinkäsittelyDeep learningtime-frequency representationtideep learningsignaalianalyysi020206 networking & telecommunicationsPattern recognitionkoneoppiminenBenchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusinessepilepsia
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Effects of Grammatical Structure of Compound Words on Word Recognition in Chinese

2018

Two lexical priming experiments were conducted to examine effects of grammatical structure of Chinese two-constituent compounds on their recognition. The target compound words conformed to two types of grammatical structure: subordinate and coordinative compounds. Subordinate compounds follow a structure where the first constituent modifies the second constituent (e.g., , meaning snowball); here the meaning of the second constituent (head) is modified by the first constituent (modifier). On the other hand, in coordinative compounds both constituents contribute equally to the word meaning (e.g., , wind and rain, meaning storm where the two constituent equally contribute to the word meaning).…

coordinative compoundsHead (linguistics)lcsh:BF1-990Chinese compoundsta6121Meaning (non-linguistic)050105 experimental psychology03 medical and health sciences0302 clinical medicineSemantic similarityLexical decision taskPsychology0501 psychology and cognitive sciencesGeneral Psychologyta515Original ResearchCommunicationmorphological structurebusiness.industry05 social scienceslcsh:Psychologygrammatical structureCompoundWord recognitionPsychologybusinesssubordinate compoundsPriming (psychology)030217 neurology & neurosurgeryWord (group theory)Frontiers in Psychology
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