Search results for "Informatics"

showing 10 items of 2542 documents

Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study

2018

Background: Mobile health (mHealth) apps might have the potential to promote self-management of people with multiple sclerosis (MS) in everyday life. However, the uptake of MS apps remains poor, and little is known about the facilitators and barriers for their efficient utilization, such as technology acceptance. Objective: The aim of this study was to examine the acceptance of mHealth apps for disease management in the sense of behavioral intentions to use and explore determinants of utilization among people with MS based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Methods: Participants for this Web-based cross-sectional study were recruited throughout Germany with t…

Expectancy theoryGerontologyOriginal Paper020205 medical informaticsmHealth acceptability of health careMedicine (miscellaneous)Health InformaticsHealth literacy02 engineering and technologyUnified theory of acceptance and use of technologymultiple sclerosisComputer Science Applications03 medical and health sciencesSocial support0302 clinical medicineModerated mediationHelpfulness0202 electrical engineering electronic engineering information engineeringeHealtheHealthPsychologymHealthpatient preference030217 neurology & neurosurgeryJMIR Formative Research
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Acceptance towards digital health interventions – Model validation and further development of the Unified Theory of Acceptance and Use of Technology

2021

Internet- and mobile-based interventions (IMI) offer an effective way to complement health care. Acceptance of IMI, a key facilitator of their implementation in routine care, is often low. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this study validates and adapts the UTAUT to digital health care. Following a systematic literature search, 10 UTAUT-grounded original studies (N = 1588) assessing patients' and health professionals' acceptance of IMI for different somatic and mental health conditions were included. All included studies assessed Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions and acceptance as well as age, gender,…

Expectancy theorybusiness.industryApplied psychologyPsychological interventionHealth InformaticsInformation technologyUnified theory of acceptance and use of technologyT58.5-58.64Digital healthMental healthStructural equation modelingFull length ArticleBF1-990ddc:AcceptanceHealth careeHealthPsychologyImplementation scienceeHealthbusinessPsychologyInternet-and mobile-based interventionsDigital healthUnified Theory of Acceptance and Use of Technology
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Statistical analysis of yeast genomic downstream sequences reveals putative polyadenylation signals

2000

The study of a few genes has permitted the identification of three elements that constitute a yeast polyadenyl­ation signal: the efficiency element (EE), the positioning element and the actual site for cleavage and poly­adenyl­ation. In this paper we perform an analysis of oligonucleotide composition on the sequences located downstream of the stop codon of all yeast genes. Several oligonucleotide families appear over-represented with a high significance (referred to herein as"words"). The family with the highest over-representation includes the oligonucleotides shown experimentally to play a role as EEs. The word with the highest score is TATATA, followed, among others, by a series of singl…

Expressed Sequence TagsGeneticsExpressed sequence tagBase SequencePolyadenylation[SDV]Life Sciences [q-bio]Saccharomyces cerevisiaeSaccharomyces cerevisiaeBiologybiology.organism_classificationSaccharomycesArticleYeastStop codonSaccharomycesGeneticsCluster Analysis[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Genome FungalORFSPoly AGeneComputingMilieux_MISCELLANEOUS
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EST sequencing of Onychophora and phylogenomic analysis of Metazoa

2007

Onychophora (velvet worms) represent a small animal taxon considered to be related to Euarthropoda. We have obtained 1873 5' cDNA sequences (expressed sequence tags, ESTs) from the velvet worm Epiperipatus sp., which were assembled into 833 contigs. BLAST similarity searches revealed that 51.9% of the contigs had matches in the protein databases with expectation values lower than 10(-4). Most ESTs had the best hit with proteins from either Chordata or Arthropoda (approximately 40% respectively). The ESTs included sequences of 27 ribosomal proteins. The orthologous sequences from 28 other species of a broad range of phyla were obtained from the databases, including other EST projects. A conc…

Expressed Sequence TagsRibosomal ProteinsExpressed sequence tagGenomeBase SequencebiologyPhylumTardigradabiology.organism_classificationBioinformaticsEpiperipatusCycloneuraliaMonophylyEukaryotic CellsEvolutionary biologyGeneticsAnimalsOnychophoraSequence AlignmentMolecular BiologyEcdysozoaPhylogenyEcology Evolution Behavior and SystematicsMolecular Phylogenetics and Evolution
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Statistical atlas based exudate segmentation

2013

Diabetic macular edema (DME) is characterized by hard exudates. In this article, we propose a novel statistical atlas based method for segmentation of such exudates. Any test fundus image is first warped on the atlas co-ordinate and then a distance map is obtained with the mean atlas image. This leaves behind the candidate lesions. Post-processing schemes are introduced for final segmentation of the exudate. Experiments with the publicly available HEI-MED data-set shows good performance of the method. A lesion localization fraction of 82.5% at 35% of non-lesion localization fraction on the FROC curve is obtained. The method is also compared to few most recent reference methods.

ExudateComputer scienceFundus imageDiabetic macular edemaHealth Informatics02 engineering and technologyMacular Edema030218 nuclear medicine & medical imaging03 medical and health sciencesAtlases as Topic0302 clinical medicine0202 electrical engineering electronic engineering information engineeringmedicineHumansRadiology Nuclear Medicine and imagingSegmentationComputer visionDiabetic RetinopathyModels StatisticalRadiological and Ultrasound TechnologyAtlas (topology)business.industryExudates and TransudatesComputer Graphics and Computer-Aided DesignUnited StatesHard exudates020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligenceAnatomic Landmarksmedicine.symptombusinessDistance transformComputerized Medical Imaging and Graphics
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Data concerning the protein absorption and retention properties of xyloglucan-based hydrogel film

2018

In wound dressing applications, exudate absorption and retention are important properties. The data presented here assess the ability of the crosslinked xyloglucan-poly(vinyl alcohol) hydrogel films (XG-PVA), described in "Xyloglucan-based hydrogel films for wound dressing: Structure-property relationships" (Ajovalasit et al., 2018) [1] and "Biocompatibility, hemocompatibility and antimicrobial properties of xyloglucan-based hydrogel film for wound healing application" (Picone et al., 2019), to absorb and retain proteins. These properties were investigated by Comassie blue staining and electrophoresis of Fetal Serum Proteins. (C) 2018 The Authors. Published by Elsevier Inc. This is an open …

Exudateprotein retentionVinyl alcoholBiocompatibilitymacromolecular substances02 engineering and technologyAbsorption (skin)lcsh:Computer applications to medicine. Medical informatics010402 general chemistry01 natural scienceschemistry.chemical_compoundbiocompatibilitymedicinelcsh:Science (General)Multidisciplinaryintegumentary systemprotein absorptionChemistrytechnology industry and agricultureChemical Engineering021001 nanoscience & nanotechnologyBiomaterialBlood proteins0104 chemical sciencesXyloglucanElectrophoresisChemical engineeringlcsh:R858-859.7Settore CHIM/07 - Fondamenti Chimici Delle Tecnologiemedicine.symptom0210 nano-technologyWound healinglcsh:Q1-390
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Fibroblast growth factor-21 enhances mitochondrial functions and increases the activity of PGC-1α in human dopaminergic neurons via Sirtuin-1

2014

Abstract Mitochondrial dysfunctions accompany several neurodegenerative disorders and contribute to disease pathogenesis among others in Parkinson’s disease (PD). Peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α) is a major regulator of mitochondrial functions and biogenesis, and was suggested as a therapeutic target in PD. PGC-1α is regulated by both transcriptional and posttranslational events involving also the action of growth factors. Fibroblast growth factor-21 (FGF21) is a regulator of glucose and fatty acid metabolism in the body but little is known about its action in the brain. We show here that FGF21 increased the levels and activity of PGC-1α and elevated mito…

FGF21educationRegulatorNicotinamide phosphoribosyltransferasePGC-1αFGF21; PGC-1α; SIRT1; Dopaminergic neurons; Mitochondria; Parkinson’s diseaseMitochondrionBioinformaticsDopaminergic neuronsSettore BIO/09 - Fisiologia03 medical and health scienceschemistry.chemical_compoundFGF21SIRT10302 clinical medicineDopaminergic Cell030304 developmental biologyDopaminergic neuron0303 health sciencesMultidisciplinarybiologySirtuin 1ResearchDopaminergicMitochondriaCell biologychemistryParkinson’s diseasebiology.protein3111 BiomedicineNAD+ kinase030217 neurology & neurosurgerySpringerPlus
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AnySeq: A High Performance Sequence Alignment Library based on Partial Evaluation

2020

Sequence alignments are fundamental to bioinformatics which has resulted in a variety of optimized implementations. Unfortunately, the vast majority of them are hand-tuned and specific to certain architectures and execution models. This not only makes them challenging to understand and extend, but also difficult to port to other platforms. We present AnySeq - a novel library for computing different types of pairwise alignments of DNA sequences. Our approach combines high performance with an intuitively understandable implementation, which is achieved through the concept of partial evaluation. Using the AnyDSL compiler framework, AnySeq enables the compilation of algorithmic variants that ar…

FOS: Computer and information sciences0301 basic medicineScheme (programming language)Computer Science - PerformanceComputer science0206 medical engineeringSequence alignment02 engineering and technologyParallel computingcomputer.software_genreMetaprogrammingDNA sequencingPartial evaluationPerformance (cs.PF)03 medical and health sciences030104 developmental biologyComputer Science - Distributed Parallel and Cluster ComputingFunction composition (computer science)MultithreadingDistributed Parallel and Cluster Computing (cs.DC)Compilercomputer020602 bioinformaticscomputer.programming_languageCodebase
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On the interpretability and computational reliability of frequency-domain Granger causality

2017

This Correspondence article is a comment which directly relates to the paper “A study of problems encountered in Granger causality analysis from a neuroscience perspective” (Stokes and Purdon, 2017). We agree that interpretation issues of Granger causality (GC) in neuroscience exist, partially due to the historically unfortunate use of the name “causality”, as described in previous literature. On the other hand, we think that Stokes and Purdon use a formulation of GC which is outdated (albeit still used) and do not fully account for the potential of the different frequency-domain versions of GC; in doing so, their paper dismisses GC measures based on a suboptimal use of them. Furthermore, s…

FOS: Computer and information sciences0301 basic medicineTheoretical computer scienceImmunology and Microbiology (all)Computer scienceTime series analysiMathematics - Statistics TheoryStatistics Theory (math.ST)Statistics - ApplicationsGeneral Biochemistry Genetics and Molecular BiologyMethodology (stat.ME)Causality (physics)03 medical and health sciences0302 clinical medicinegranger causalityGranger causalityCorrespondenceFOS: MathematicsApplications (stat.AP)Physiological oscillationGeneral Pharmacology Toxicology and PharmaceuticsTime seriessignal processingStatistical Methodologies & Health Informaticsfrequency-domain connectivityReliability (statistics)Statistics - MethodologyInterpretabilityGranger-Geweke causalityBiochemistry Genetics and Molecular Biology (all)Interpretation (logic)General Immunology and Microbiologybrain connectivityGeneral MedicineArticlesvector autoregressive models030104 developmental biologyMathematics and StatisticsWildcardVector autoregressive modelPharmacology Toxicology and Pharmaceutics (all)Frequency domaintime series analysisspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaBrain connectivity; Directed coherence; Frequency-domain connectivity; Granger-Geweke causality; Physiological oscillations; Spectral decomposition; Time series analysis; Vector autoregressive models; Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all); Pharmacology Toxicology and Pharmaceutics (all)directed coherence030217 neurology & neurosurgeryphysiological oscillations
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Helminth Microbiota Profiling Using Bacterial 16S rRNA Gene Amplicon Sequencing: From Sampling to Sequence Data Mining

2021

Symbiont microbial communities play important roles in animal biology and are thus considered integral components of metazoan organisms, including parasitic worms (helminths). Nevertheless, the study of helminth microbiomes has thus far been largely overlooked, and symbiotic relationships between helminths and their microbiomes have been only investigated in selected parasitic worms. Over the past decade, advances in next-generation sequencing technologies, coupled with their increased affordability, have spurred investigations of helminth-associated microbial communities aiming at enhancing current understanding of their fundamental biology and physiology, as well as of host-microbe intera…

FOS: Computer and information sciencesBioinformaticsComputational biologyBiologyDNA sequencingSymbiosisHelminthsRNA Ribosomal 16Sparasitic diseasesHelminthAnimalsData MiningHelminthsMicrobiomeGeneBacterial 16S rRNA geneIndirect life cycleHigh-throughput sequencingMicrobiotaHigh-Throughput Nucleotide SequencingGenes rRNASchistosoma mansoniAmplicon sequencingHuman genomeSample collectionWorm-associated microbiome
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