Search results for "archi"

showing 10 items of 9402 documents

Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease

2020

Abstract Background Advanced age-related macular degeneration (AMD) is a leading cause of blindness. While around half of the genetic contribution to advanced AMD has been uncovered, little is known about the genetic architecture of early AMD. Methods To identify genetic factors for early AMD, we conducted a genome-wide association study (GWAS) meta-analysis (14,034 cases, 91,214 controls, 11 sources of data including the International AMD Genomics Consortium, IAMDGC, and UK Biobank, UKBB). We ascertained early AMD via color fundus photographs by manual grading for 10 sources and via an automated machine learning approach for > 170,000 photographs from UKBB. We searched for early AMD loc…

0301 basic medicinegenetic structures610 MedizinGenome-wide association studyMacular Degeneration0302 clinical medicineAdvanced diseaseCD46Genetics (clinical)GeneticsInternational AMD genomics consortium (IAMDGC)ddc:6100303 health sciencesGenome-wide association study (GWAS)3. Good health030220 oncology & carcinogenesisAge-related macular degeneration (AMD)Meta-analysisResearch ArticleGenetic Markerslcsh:Internal medicineUK biobank (UKBB)lcsh:QH426-470Locus (genetics)GenomicsComputational biologyBiologyPolymorphism Single NucleotideGenome-wide association study (GWAS) Meta-analysis Age-related macular degeneration (AMD) Early AMD CD46 TYR International AMD genomics consortium (IAMDGC) UK biobank (UKBB) Machine-learning Automated phenotyping03 medical and health sciencesEarly AMDGeneticsmedicineHumansGenetic Predisposition to DiseaseGenome-wide Association Study (gwas) ; Meta-analysis ; Age-related Macular Degeneration (amd) ; Early Amd ; Cd46 ; Tyr ; International Amd Genomics Consortium (iamdgc) ; Uk Biobank (ukbb) ; Machine-learning ; Automated Phenotypinglcsh:RC31-1245Machine-learning030304 developmental biologyTYRCD46Macular degenerationmedicine.diseaseHuman geneticseye diseasesGenetic architectureMeta-analysislcsh:Genetics030104 developmental biologyGenetic LociCase-Control StudiesAutomated phenotypingHTRA1030221 ophthalmology & optometrysense organsGenome-Wide Association Study
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Is there evidence for a rostral-caudal gradient in fronto-striatal loops and what role does dopamine play?

2018

Research has shown that the lateral prefrontal cortex (LPFC) may be hierarchically organized along a rostral-caudal functional gradient such that control processing becomes progressively more abstract from caudal to rostral frontal regions. Here, we briefly review the most recent functional MRI, neuropsychological, and electrophysiological evidence in support of a hierarchical LPFC organization. We extend these observations by discussing how such a rostral-caudal gradient may also exist in the striatum and how the dopaminergic system may play an important role in the hierarchical organization of fronto-striatal loops. There is evidence indicating that a rostral-caudal gradient of dopamine r…

0301 basic medicinehierarchical processingReviewStriatumBiologylcsh:RC321-57103 medical and health sciences0302 clinical medicineDopaminemedicineHierarchical organizationlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryGeneral NeuroscienceDopaminergicNeuropsychologylateral prefrontal cortexElectrophysiology030104 developmental biologynervous systemDopamine receptorfronto-striatal loopsreceptor distributiondopamineLateral prefrontal cortexNeuroscience030217 neurology & neurosurgeryNeurosciencemedicine.drug
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Anatomical Variations in the Sinoatrial Nodal Artery: A Meta-Analysis and Clinical Considerations

2016

Background and Objective The sinoatrial nodal artery (SANa) is a highly variable vessel which supplies blood to the sinoatrial node (SAN). Due to its variability and susceptibility to iatrogenic injury, our study aimed to assess the anatomy of the SANa and determine the prevalence of its anatomical variations. Study Design An extensive search of major electronic databases was performed to identify all articles reporting anatomical data on the SANa. No lower date limit or language restrictions were applied. Anatomical data regarding the artery were extracted and pooled into a meta-analysis. Results Sixty-six studies (n = 21455 hearts) were included in the meta-analysis. The SANa usually aros…

0301 basic medicinemedicine.medical_specialtyPopulation Dynamicslcsh:MedicineCoronary Artery Disease030204 cardiovascular system & hematologyResearch and Analysis MethodsVascular MedicineCoronary artery diseaseDatabase and Informatics Methods03 medical and health sciencesMathematical and Statistical Techniques0302 clinical medicinemedicine.arteryInternal medicineMedicine and Health SciencesmedicineStatistical MethodsDatabase SearchingPulmonary Arterieslcsh:ScienceSinoatrial nodal arteryCoronary ArteriesMultidisciplinaryPopulation BiologySinoatrial nodebusiness.industryIatrogenic injurylcsh:RBiology and Life SciencesArteriesmedicine.diseaseGeographic DistributionCoronary arteriesGeographic distributionmedicine.anatomical_structureMeta-analysisPhysical SciencesCardiovascular AnatomyCardiologyBlood Vesselslcsh:Q030101 anatomy & morphologyAnatomybusinessMathematicsStatistics (Mathematics)Research ArticleMeta-AnalysisPLOS ONE
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Multivariate statistical analysis of a large odorants database aimed at revealing similarities and links between odorants and odors

2017

International audience; The perception of odor is an important component of smell; the first step of odor detection, and the discrimination of structurally diverse odorants depends on their interactions with olfactory receptors (ORs). Indeed, the perception of an odor's quality results from a combinatorial coding, in which the deciphering remains a major challenge. Several studies have successfully established links between odors and odorants by categorizing and classifying data. Hence, the categorization of odors appears to be a promising way to manage odors. In the proposed study, we performed a computational analysis using odor descriptions of the odorants present in Flavor-Base 9th Edit…

0301 basic medicinemultidimensional scalingmedia_common.quotation_subjectAgglomerative hierarchical clusteringKohonen self-organizing mapsodorants03 medical and health sciences0302 clinical medicinePerceptionComputational analysisMultidimensional scalingmedia_commonChemistrybusiness.industrymusculoskeletal neural and ocular physiologyPattern recognitionKohonen self organizing mapGeneral Chemistrycategorization030104 developmental biologyCategorizationOdorodor notesagglomerative hierarchical clusteringArtificial intelligenceMultivariate statisticalbusiness[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition030217 neurology & neurosurgerypsychological phenomena and processesFood Science
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Discovery of Natural Products as Novel and Potent FXR Antagonists by Virtual Screening

2018

Farnesoid X receptor (FXR) is a member of nuclear receptor family involved in multiple physiological processes through regulating specific target genes. The critical role of FXR as a transcriptional regulator makes it a promising target for diverse diseases, especially those related to metabolic disorders such as diabetes and cholestasis. However, the underlying activation mechanism of FXR is still a blur owing to the absence of proper FXR modulators. To identify potential FXR modulators, an in-house natural product database (NPD) containing over 4,000 compounds was screened by structure-based virtual screening strategy and subsequent hit-based similarity searching method. After the yeast t…

0301 basic medicinenatural product01 natural scienceslcsh:Chemistry03 medical and health scienceschemistry.chemical_compoundTranscriptional regulationGeneIC50Original ResearchVirtual screeningNatural productantagonistmolecular dockingsimilarity searchingGeneral Chemistryvirtual screening0104 chemical sciencesChemistry010404 medicinal & biomolecular chemistry030104 developmental biologyFXRlcsh:QD1-999Nuclear receptorBiochemistrychemistryFarnesoid X receptorGuggulsteroneFrontiers in Chemistry
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The effect of visual motion stimulus characteristics on vection and visually induced motion sickness

2019

Abstract Several factors contribute to the likelihood of experiencing illusory sensations of self-motion (i.e., vection) in Virtual Reality (VR) applications. VR users can also experience adverse effects such as disorientation, oculomotor issues, or nausea known as visually induced motion sickness (VIMS). The goal of the present study was to systematically investigate three characteristics of visual motion stimuli—speed, density, and axis of rotation—and how they relate to both vection and VIMS. Two experiments were conducted. In Experiment 1, a stereoscopic stimulus containing a star field of white spheres on a black background was presented to 21 participants. The stimulus contained linea…

030110 physiology0301 basic medicinemedicine.medical_specialtyStimulus (physiology)Audiologymedicine.diseasehumanitiesVisual motionHuman-Computer Interaction03 medical and health sciences0302 clinical medicineMotion sicknessHardware and ArchitectureSensationmedicineElectrical and Electronic EngineeringCurvilinear motion030217 neurology & neurosurgeryMathematicsDisplays
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Merit-based exclusion in Finnish music schools

2019

In this article I analyse merit-based exclusion in Finnish music schools for children and young people. I base my study on my earlier research on meritocracy and written data collected online from current and former music school students in the autumn and winter of 2015–2016. I am able to show there are implicit and explicit merit-based hierarchies in the music school. Hierarchies and exclusion are shown to be connected to the institution’s meritocratic features. As the hierarchies are merit-based, it is hard to question them. The hierarchies justify excluding students from certain practices such as performances. These practices are in fact learning opportunities, as has been established by…

030222 orthopedicsmusiikkikasvatuslahjakkuushierarchies06 humanities and the artsMusic educationBase (topology)Educational attainment060404 musicEducation03 medical and health sciences0302 clinical medicinePedagogySocial attitudesMeritocracyComputingMilieux_COMPUTERSANDEDUCATIONmeritokratiaSociologyhierarkia0604 artsMusicexclusion
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Building an Optimal WSD Ensemble Using Per-Word Selection of Best System

2006

In Senseval workshops for evaluating WSD systems [1,4,9], no one system or system type (classifier algorithm, type of system ensemble, extracted feature set, lexical knowledge source etc.) has been discovered that resolves all ambiguous words into their senses in a superior way. This paper presents a novel method for selecting the best system for target word based on readily available word features (number of senses, average amount of training per sense, dominant sense ratio). Applied to Senseval-3 and Senseval-2 English lexical sample state-of-art systems, a net gain of approximately 2.5 – 5.0% (respectively) in average precision per word over the best base system is achieved. The method c…

0303 health sciencesWord-sense disambiguationComputer scienceSample (material)Speech recognition02 engineering and technologyBase (topology)SemanticsSupport vector machine03 medical and health sciencesPattern recognition (psychology)Classifier (linguistics)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingWord (computer architecture)030304 developmental biology
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Multifunctional Bioinstructive 3D Architectures to Modulate Cellular Behavior

2019

Biological structures control cell behavior via physical, chemical, electrical, and mechanical cues. Approaches that allow us to build devices that mimic these cues in a combinatorial way are lacking due to there being no suitable instructive materials and limited manufacturing procedures. This challenge is addressed by developing a new conductive composite material, allowing for the fabrication of 3D biomimetic structures in a single manufacturing method based on two?photon polymerization. The approach induces a combinatorial biostimulative input that can be tailored to a specific application. Development of the 3D architecture is performed with a chemically actuating photocurable acrylate…

0303 health sciencesbiomimetic 3D architecturesMaterials scienceregenerative medicineNanotechnology02 engineering and technology3D printing021001 nanoscience & nanotechnologyCondensed Matter PhysicsRegenerative medicineElectronic Optical and Magnetic Materialscardiomyocyte maturationBiomaterials03 medical and health sciencesGeneral chemical engineeringElectrochemistry0210 nano-technology030304 developmental biologyAdvanced Functional Materials
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Comparison of conventional descriptive analysis and a citation frequency-based descriptive method for odor profiling: An application to Burgundy Pino…

2010

International audience; The limitations of intensity scoring when describing the odor characteristics of a complex product have been documented in the literature. In the present work, the odor properties of 12 Burgundy Pinot noir wines were described by two independent panels performing, respectively, an intensity-based (conventional descriptive analysis) and a citation frequency-based method. Methods were compared according to three criteria: similarity of the sensory maps, control of panel performance and practical aspects. Intensity scoring and citation frequency data were analyzed, respectively, by Principal Components Analysis (PCA) and Correspondence Analysis (CA) followed by Hierarch…

030309 nutrition & dietetics[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionSensory analysisCorrespondence analysis03 medical and health sciences0404 agricultural biotechnologySENSORY ANALYSISStatistics[SDV.IDA]Life Sciences [q-bio]/Food engineeringCluster analysisComputingMilieux_MISCELLANEOUSMathematicsWinePINOT NOIR0303 health sciencesFREQUENCY OF CITATIONNutrition and DieteticsDescriptive statisticsbusiness.industryDESCRIPTIVE PROFILEWINE04 agricultural and veterinary sciencesCONVENTIONAL DA040401 food scienceHierarchical clusteringOdorPrincipal component analysisArtificial intelligencebusiness[SDV.AEN]Life Sciences [q-bio]/Food and NutritionMETHOD COMPARISONFood Science
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