Search results for "quality score"

showing 9 items of 9 documents

Development of a Food-Based Diet Quality Score from a Short FFQ and Associations with Obesity Measures, Eating Styles and Nutrient Intakes in Finnish…

2019

We constructed a food-based diet quality score (DQS) and examined its association with obesity measures, eating styles and nutrient intakes. Participants were 3592 individuals (764 dizygotic [DZ] and 430 monozygotic [MZ] twin pairs) from the FinnTwin16 study. The DQS (0&ndash

AdultMaleobesityRELATIVE VALIDITYeating behaviorsdiet quality scorelcsh:TX341-641ruokavaliotVALIDATIONArticleSNACKING BEHAVIORSBMIADHERENCEsyöminenHumansravintoaineetSOCIAL DESIRABILITYFREQUENCY QUESTIONNAIREObesity ; Waist ; Short FFQ ; Eating behaviors ; Nutrient intake ; Twins ; Diet quality score ; BMIFinlandkaksostutkimusnutrient intakedigestive oral and skin physiologyylipainoFeeding Behaviortwins3142 Public health care science environmental and occupational healthDietBODY-MASS INDEXruokatottumuksetPHYSICAL-ACTIVITYFood3121 General medicine internal medicine and other clinical medicinelihavuusFemaleravintoarvoHEALTHY NORDIC DIET3143 NutritionEnergy Intakelcsh:Nutrition. Foods and food supplyshort FFQWEIGHT CHANGEwaist
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No-Reference 3D Mesh Quality Assessment Based on Dihedral Angles Model and Support Vector Regression

2016

International audience; 3D meshes are subject to various visual distortions during their transmission and geometrical processing. Several works have tried to evaluate the visual quality using either full reference or reduced reference approaches. However, these approaches require the presence of the reference mesh which is not available in such practical situations. In this paper, the main contribution lies in the design of a computational method to automatically predict the perceived mesh quality without reference and without knowing beforehand the distortion type. Following the no-reference (NR) quality assessment principle, the proposed method focuses only on the distorted mesh. Specific…

Gamma distribution[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[ INFO ] Computer Science [cs]Computer science02 engineering and technologycomputer.software_genre[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Quality (physics)[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingVisual maskingDistortion0202 electrical engineering electronic engineering information engineeringGamma distribution[INFO]Computer Science [cs]Polygon mesh[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]No-reference mesh quality assessmentVisual masking effect020207 software engineeringSupport vector machineSupport vector regressionQuality ScoreHuman visual system modelDihedral angles020201 artificial intelligence & image processingData miningAlgorithmcomputer
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Evaluating protein structures determined by structural genomics consortia.

2006

Structural genomics projects are providing large quantities of new 3D structural data for proteins. To monitor the quality of these data, we have developed the protein structure validation software suite (PSVS), for assessment of protein structures generated by NMR or X-ray crystallographic methods. PSVS is broadly applicable for structure quality assessment in structural biology projects. The software integrates under a single interface analyses from several widely-used structure quality evaluation tools, including PROCHECK (Laskowski et al., J Appl Crystallog 1993;26:283-291), MolProbity (Lovell et al., Proteins 2003;50:437-450), Verify3D (Luthy et al., Nature 1992;356:83-85), ProsaII (Si…

Models MolecularComputer scienceProtein Data Bank (RCSB PDB)GenomicsComputational biologycomputer.software_genreCrystallography X-RayBiochemistryStructural genomicsProtein structureStructural BiologySoftware DesignHumansDatabases ProteinMolecular BiologyNuclear Magnetic Resonance BiomolecularSoftware suiteComputational BiologyProteinsGenomicsProtein Structure TertiaryCrystallographyStructural biologyQuality ScorecomputerData integrationProteins
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Comparison of Studies on Mobile Phone Use and Risk of Tumors

2010

published results of ameta-analysis of studies on mobile phone use and risk of tumors. Intheir analysis, the authors included 23 case-control studies, covering abroad spectrum of tumor entities including uveal melanoma, testicu-lar cancer, parotid gland tumors, and brain tumors.However, the authors give no rationale for pooling these hetero-geneous, biologically rather diverse cancer sites, for which the local-ized exposure from the use of mobile phones is completely different.The key difference between this particular meta-analysis com-pared with earlier ones is the use of a quality score. The use of qualityscoreshasbeenreportedtobea“formofsubjectivitymasqueradingasobjectivity”andithasbeen…

RiskOncologyCancer Researchmedicine.medical_specialtybusiness.industryMelanomaPoolingCancermedicine.diseaseParotid glandmedicine.anatomical_structureText miningMeta-Analysis as TopicOncologyMobile phoneCase-Control StudiesNeoplasmsInternal medicineCellular PhoneQuality ScoreKey (cryptography)medicineHumansbusinessJournal of Clinical Oncology
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Adaptive reference-free compression of sequence quality scores

2014

Motivation: Rapid technological progress in DNA sequencing has stimulated interest in compressing the vast datasets that are now routinely produced. Relatively little attention has been paid to compressing the quality scores that are assigned to each sequence, even though these scores may be harder to compress than the sequences themselves. By aggregating a set of reads into a compressed index, we find that the majority of bases can be predicted from the sequence of bases that are adjacent to them and hence are likely to be less informative for variant calling or other applications. The quality scores for such bases are aggressively compressed, leaving a relatively small number at full reso…

Statistics and ProbabilityFOS: Computer and information sciencesComputer sciencemedia_common.quotation_subjectReference-freecomputer.software_genreBiochemistryDNA sequencingSet (abstract data type)Redundancy (information theory)BWTComputer Science - Data Structures and AlgorithmsCode (cryptography)AnimalsHumansQuality (business)Data Structures and Algorithms (cs.DS)Quantitative Biology - GenomicsCaenorhabditis elegansMolecular Biologymedia_commonGenomics (q-bio.GN)SequenceGenomeSettore INF/01 - Informaticareference-free compressionHigh-Throughput Nucleotide SequencingGenomicsSequence Analysis DNAData CompressioncompressionComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsFOS: Biological sciencesData miningquality scoreMetagenomicscomputerBWT; compression; quality score; reference-free compressionAlgorithmsReference genome
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Full Reference Mesh Visual Quality Assessment Using Pre-Trained Deep Network and Quality Indices

2019

In this paper, we propose an objective quality metric to evaluate the perceived visual quality of 3D meshes. Our method relies on pre-trained convolutional neural network i.e VGG to extract features from the distorted mesh and its reference. Quality indices from well-known mesh visual quality metrics are concatenated with the extracted features resulting a global feature vector. this latter is used to learn the support vector regression (SVR) to predict the final quality score. Experimental results from two subjective databases (LIRIS masking database and LIRIS/EPFL general-purpose database) and comparisons with seven objective metrics cited in the state-of-the-art demonstrate the effective…

business.industryComputer scienceFeature vectormedia_common.quotation_subjectFeature extractionPattern recognitionConvolutional neural networkSupport vector machineQuality ScoreMetric (mathematics)Polygon meshQuality (business)Artificial intelligencebusinessmedia_common2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Reduced Reference Mesh Visual Quality Assessment Based on Convolutional Neural Network

2018

3D meshes are usually affected by various visual distortions during their transmission and geometric processing. In this paper we propose a reduced reference method for mesh visual quality assessment. The method compares features extracted from the distorted mesh and the original one using a convolutional neural network in order to estimate the visual quality score. The perceptual distance between two meshes is computed as the Kullback-Leibler divergence between the two sets of feature vectors. Experimental results from two subjective databases (LIRIS masking database and LIRIS/EPFL general purpose database) and comparisons with seven objective metrics cited in the state-of-the-art demonstr…

business.industryComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingFeature vectorFeature extractionPattern recognition02 engineering and technology01 natural sciencesConvolutional neural networkVisualization010309 optics[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesQuality ScoreMetric (mathematics)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPolygon meshArtificial intelligenceDivergence (statistics)businessComputingMilieux_MISCELLANEOUS
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Quality Analysis of YouTube Videos Presenting Pelvic Floor Exercises after Prostatectomy Surgery

2021

Background: Prostate cancer (PC) is a major cause of disease and mortality among men. Surgical treatment involving the removal of the prostate may result in temporary or permanent erectile dysfunction (ED) and urinary incontinence (UI), with considerable impact on quality of life. Pelvic floor muscle training (PFMT) is one of the recommended techniques for the prevention, treatment, and rehabilitation of postoperative complications. The aim of this observational study was to assess the quality of YouTube videos—accessible to any patient—related to exercises after prostatectomy surgery. Methods: A systematic search was performed on YouTube on 24 September 2020. One hundred and fifty videos w…

medicine.medical_specialtyIntraclass correlationmedicine.medical_treatmentPopulationUrinary incontinenceMedicine (miscellaneous)Urinary incontinencePelvic floorhealthy behaviorArticleXarxes socialsQuality of lifepelvic floormedicineeducationeducation.field_of_studyPelvic floorPròstata Càncerurinary incontinenceProstate cancerProstatectomybusiness.industryYouTubeHealthy behaviorExercisesRprostate cancerSurgeryexercisesSòl pelviàmedicine.anatomical_structureQuality ScoreMedicineObservational studymedicine.symptombusiness
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American College of Cardiology/ European Society of Cardiology international study of angiographic data compression phase III. Measurement of image q…

2000

Objectives We sought to investigate up to which level of Joint Photographic Experts Group (JPEG) data compression the perceived image quality and the detection of diagnostic features remain equivalent to the quality and detectability found in uncompressed coronary angiograms. Background Digital coronary angiograms represent an enormous amount of data and therefore require costly computerized communication and archiving systems. Earlier studies on the viability of medical image compression were not fully conclusive. Methods Twenty-one raters evaluated sets of 91 cine runs. Uncompressed and compressed versions of the images were presented side by side on one monitor, and image quality differe…

medicine.medical_specialtybusiness.industryImage qualityWord error ratecomputer.file_formatJPEGSurgeryUncompressed videoStatisticsQuality ScoreCompression ratioMedicineCardiology and Cardiovascular MedicinebusinesscomputerImage compressionData compressionEuropean Heart Journal
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