Search results for "processing"

showing 10 items of 8572 documents

Mammalian cell metabolomics: Experimental design and sample preparation

2013

Metabolomics represents the global assessment of metabolites in a biological sample and reports the closest information to the phenotype of the biological system under study. Mammalian cell metabolomics has emerged as a promising tool with potential applications in many biotechnology and research areas. Metabolomics workflow includes experimental design, sampling, sample processing, metabolite analysis, and data processing. Given their influence on metabolite content and biological interpretation of data, a good experimental design and the appropriate choice of a sample processing method are prerequisites for success in any metabolomic study. The use of mammalian cells in the metabolomics f…

WorkflowMetabolomicsResearch areasMammalian cellClinical BiochemistrySample processingSample preparationComputational biologyMetabolite analysisBiologyBioinformaticsBiochemistryAnalytical ChemistryELECTROPHORESIS
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Tracking Changes in Frontal Lobe Hemodynamic Response in Individual Adults With Developmental Language Disorder Following HD tDCS Enhanced Phonologic…

2020

Background: Current research suggests a neurobiological marker of developmental language disorder (DLD) in adolescents and young adults may be an atypical neural profile coupled with behavioral performance that overlaps with that of normal controls. Although many imaging techniques are not suitable for the study of speech and language processing in DLD populations, fNIRS may be a viable option. In this study we asked if fNIRS can be used to identify atypical cortical activation patterns in individual adults with DLD and track potential changes in cortical activation patterns following a phonological working memory training protocol enhanced with anodal HD tDCS stimulation to the presuppleme…

Working memory trainingmedicine.medical_specialtyBrain activity and meditationdevelopmental language disorderAudiology050105 experimental psychologylcsh:RC321-57103 medical and health sciencesBehavioral Neurosciencespoken word processing0302 clinical medicinememory updating and inhibitionMethodsmedicinefunctional near-infrared spectroscopyhigh definition transcranial direct current stimulation0501 psychology and cognitive sciencesYoung adultn-backPrefrontal cortexlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological Psychiatryn-backprefrontal cortexWorking memorybusiness.industry05 social sciencesPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyFrontal lobeFunctional near-infrared spectroscopybusiness030217 neurology & neurosurgeryNeuroscienceFrontiers in Human Neuroscience
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Cognition and interpersonal communication: The effect of voice quality on information processing and person perception

2014

Abstract Against the backdrop of cognitive load theory (CLT) it was tested if irregular voice increases processing demands on working memory (WM). An experiment was designed to expose N = 54 participants to expository text delivered with a modal and a creaky human voice. Working memory capacity was measured by a secondary task on the visual modality. Listening to a creaky voice quality consumes more cognitive capacity as indicated by the significant decrease in secondary task performance; also, retention of information was found to be impaired. Results are explained within the framework of CLT and implications for professional communication are discussed.

Working memoryCommunicationInformation processingActive listeningCognitionInterpersonal communicationPsychologyHuman voiceCognitive loadCognitive psychologyCreaky voiceStudies in Communication Sciences
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Conquering the Mobile Device Jungle: Towards a Taxonomy for App-enabled Devices

2017

World Wide WebComputer scienceTaxonomy (general)0202 electrical engineering electronic engineering information engineeringJungle020207 software engineering020201 artificial intelligence & image processing02 engineering and technologyMobile deviceProceedings of the 13th International Conference on Web Information Systems and Technologies
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webAppOS: Creating the Illusion of a Single Computer for Web Application Developers

2020

Unlike traditional single-PC applications, which have access to directly attached computational resources (CPUs, memory, and I/O devices), web applications have to deal with the resources scattered across the network. Besides, web applications are intended to be accessed by multiple users simultaneously. That not only requires a more sophisticated infrastructure but also brings new challenges to web application developers.

World Wide WebComputer sciencebusiness.industrymedia_common.quotation_subject0202 electrical engineering electronic engineering information engineeringIllusionWeb application020201 artificial intelligence & image processing02 engineering and technologybusinessmedia_common
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Towards Introducing User Preferences in OLAP Reporting Tool

2012

This paper presents an OLAP reporting tool and an approach for determining and processing user OLAP preferences, which are useful for generating recommendations on potentially interesting reports. We discuss the metadata layers of the reporting tool including our proposed OLAP preferences metamodel, which supports various scenarios of formulating preferences of two different types: schema-specific and report-specific. The process of semantic metadata usage at the stage of formulating user preferences is also considered. The methods for processing schema-specific and report-specific OLAP preferences are outlined.

World Wide WebMetadataInformation retrievalComputer scienceProcess (engineering)Online analytical processingInformationSystems_DATABASEMANAGEMENTData warehouseMetamodeling
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Context-aware summary generation for Web pages

2009

General purpose search engines provide users with lists of retrieved documents in response to their queries. The common structure of list elements includes the title of a document, its URL, and small snippet from the text. Snippets are evidence of occurrences of query's keywords in the document. The length of each snippet is just a couple of lines. They cannot play a role of summaries of retrieved documents: In many cases, they are not indicative and users cannot judge on the relevancy of documents. In our approach we use ontology as context description and that ontology will be used to describe user's main interest with respect to wanted summary and help to select weighting of key words an…

World Wide WebStructure (mathematical logic)Information retrievalComputer scienceInformationSystems_INFORMATIONSTORAGEANDRETRIEVALWeb pageComputingMethodologies_DOCUMENTANDTEXTPROCESSINGKey (cryptography)Context (language use)ThesaurusDocument retrievalSnippetOntology (information science)2009 IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications
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Writer identification for historical handwritten documents using a single feature extraction method

2020

International audience; With the growth of artificial intelligence techniques the problem of writer identification from historical documents has gained increased interest. It consists on knowing the identity of writers of these documents. This paper introduces our baseline system for writer identification, tested on a large dataset of latin historical manuscripts used in the ICDAR 2019 competition. The proposed system yielded the best results using Scale Invariant Feature Transform (SIFT) as a single feature extraction method, without any preprocessing stage. The system was compared against four teams who participated in the competition with different feature extraction methods: SRS-LBP, SI…

Writer identificationComputer sciencebusiness.industryFeature extractionhistorical documentsScale-invariant feature transform020207 software engineeringPattern recognition02 engineering and technologyartificial intelligenceConvolutional neural networkSupport vector machineIdentification (information)sift descriptors0202 electrical engineering electronic engineering information engineeringIdentity (object-oriented programming)Unsupervised learning020201 artificial intelligence & image processing[INFO]Computer Science [cs]Artificial intelligencebusiness
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Adopting XML for Large-Scale Information

2011

This book has presented many different ways to encode information in XML format and the purposes for doing so. In this concluding chapter we consider problems related to managing XML information assets and the methods available to address those problems. Approaches for persistently storing XML data can be divided into file storage and database storage, and the research community has been especially active in designing new solutions for XML databases. However, adoption of XML often means massive migration procedures from some legacy data into the XML format; examples of migration cases are given. While describing the ­problems related to adopting XML, we give examples of the kinds of data fo…

XML EncryptionComputer scienceEfficient XML InterchangeXML SignatureXML validationcomputer.file_formatcomputer.software_genreXML frameworkWorld Wide WebXML databaseXML Schema EditorStreaming XMLComputingMethodologies_DOCUMENTANDTEXTPROCESSINGcomputer
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Why Use XML?

2011

Since its inception a decade ago, XML has become a standard ­technology for software engineers, all Web browsers are able to parse and show XML ­documents, and huge XML data resources are available from the Internet. Many of the documents are in XHTML, but other XML applications are quite common as well. XML has also become a format that is increasingly common in the files of local disks. This success would not have been possible without collaborative efforts throughout the Web community. Such world-wide collaborative development has included standards, software applications, and case implementations that can serve as models when developing new solutions. In this chapter we consider what ki…

XML frameworkWorld Wide WebXML EncryptionComputer scienceXML Schema EditorStreaming XMLEfficient XML InterchangeComputingMethodologies_DOCUMENTANDTEXTPROCESSINGXML SignatureXML BaseXML validationcomputer.file_formatcomputer
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