Search results for "quantitative"

showing 10 items of 2409 documents

Investigating the quality of mental models deployed by undergraduate engineering students in creating explanations: The case of thermally activated p…

2013

This paper describes a method aimed at pointing out the quality of the mental models undergraduate engineering students deploy when asked to create explanations for phenomena or processes and/or use a given model in the same context. Student responses to a specially designed written questionnaire are quantitatively analyzed using researcher-generated categories of reasoning, based on the physics education research literature on student understanding of the relevant physics content. The use of statistical implicative analysis tools allows us to successfully identify clusters of students with respect to the similarity to the reasoning categories, defined as ``practical or everyday,'' ``descri…

Quantitative data analysiQualitative data analysisPhysics educationLC8-6691Learning environmentmedia_common.quotation_subjectMultimethodologySettore FIS/08 - Didattica E Storia Della FisicaPhysicsQC1-999Physics educationGeneral Physics and AstronomyContext (language use)Special aspects of educationEducationConsistency (negotiation)Engineering educationSimilarity (psychology)Mathematics educationQuality (business)Psychologymedia_commonPhysical Review Special Topics. Physics Education Research
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Patterns of oncogene co-expression at single cell resolution in cancer influence survival

2020

AbstractBackgroundCancers often overexpress multiple clinically relevant oncogenes. However, it is not known if multiple oncogenes within a cancer combine uniquely in specific cellular sub-populations to influence clinical outcome. We studied this phenomenon using the prognostically relevant oncogenes MYC, BCL2 and BCL6 in Diffuse Large B-Cell Lymphoma (DLBCL).MethodsQuantitative multispectral imaging simultaneously measured oncogene co-expression at single-cell resolution in reactive lymphoid tissue (n=12) and four independent cohorts (n=409) of DLBCL. Mathematically derived co-expression phenotypes were evaluated in DLBCLs with immunohistochemistry (n=316) and eight DLBCL cohorts with gen…

Quantitative immunohistochemistryCellBiologyBCL6medicine.diseasemedicine.anatomical_structureimmune system diseaseshemic and lymphatic diseasesGene expressionCo localisationmedicineCancer researchImmunohistochemistryneoplasmsDiffuse large B-cell lymphomaPatient stratification
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Quantitative methods in tourism and hospitality: a perspective article

2019

Purpose The purpose of this paper is to provide an overview of past perspectives and future trends in tourism and hospitality research. Design/methodology/approach The study grounds the discussion on the timeline evolution of quantitative research methods. Findings Although still under-recognized by scholars, mixed methods represent the future of research in tourism and hospitality. Research limitations/implications The investigation is confined to quantitative methods. Originality/value No other surveys sketch a period of 150 years of quantitative analyses in tourism and hospitality.

Quantitative methodTOURISM AND HOSPITALITY RESEARCHHistorybusiness.industryGeography Planning and DevelopmentPerspective (graphical)TimelineEMERGING PERSPECTIVES QUANTITATIVE METHODS; TOURISM AND HOSPITALITY RESEARCHSketchHospitalityTourism Leisure and Hospitality ManagementEMERGING PERSPECTIVESRegional sciencebusinessPeriod (music)TourismQUANTITATIVE METHODS
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Resolution Enhancement in Phase Microscopy: a Review

2018

Quantitative phase microscopy (QPM), a technique combining phase imaging and microscopy, enables visualization of the 3-D topography in reflective samples as well as the inner structure or refractive index distribution of transparent and translucent samples. However, as in conventional optical microscopy, QPM provides either a large field of view (FOV) or a high resolution but not both. Many approaches such as oblique illumination, structured illumination and speckle illumination have been proposed to improve the spatial resolution of phase microscopy by restricting other degrees of freedom (mostly time). Therefore, the space bandwidth product (SBP) of QPM becomes enlarged. This paper aims …

Quantitative phase microscopyOpticsMaterials sciencelawbusiness.industryPhase contrast microscopyResolution (electron density)Digital holographic microscopybusinessopticslaw.invention
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A local post-retrieval tool for satellite precipitation estimates

2012

As illustrated by several literature case studies spread around di erent geographic locations, satellite precipi- tation estimates, obtained by means of consolidated algorithms, often result being considerably biased. Moreover observed bias is related to geographic location since particular features such as latitude, presence of coastal areas and climatological and weather regime, a ect performances of satellite estimates. Bias adjusted products that make use of global ground-based precipitation estimates, are available as well but still these datasets may show a relevant bias level. In this study a procedure to bias-adjust satellite precipitation estimates has been devel- oped for the loca…

Quantitative precipitation estimationMeteorologydownscalinSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaNetwork dataSatellite precipitationMediterraneanbias adjustmentSatellite precipitationLatitudeGeographyMaximum a posteriori estimationSatellitePrecipitationRemote sensingDownscalingSPIE Proceedings
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Polarity study of ionic liquids with the solvatochromic dye Nile Red: a QSPR approach using in silico VolSurf+ descriptors

2016

The in silico VolSurfþ descriptors, accounting for both cationic and anionic structural features of ionic liquids (ILs) were used to develop a Partial Least Squares (PLS) model able to establish a Quantitative Structure Property Relationship (QSPR) correlation with their solvatochromic dye Nile Red polarity. The PLS model allowed prediction of ENR values for 116 ILs providing an in silico ILs polarity database.

Quantitative structure–activity relationship010405 organic chemistryPolarity (physics)In silicoOrganic ChemistrySolvatochromismNile redIonic Liquids Polarity Nile Red QSPRSettore CHIM/06 - Chimica Organica010402 general chemistry01 natural sciencesBiochemistry0104 chemical sciencesQuantitative Structure Property Relationshipchemistry.chemical_compoundchemistryComputational chemistryDrug DiscoveryIonic liquidPartial least squares regressionOrganic chemistryTetrahedron
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In silico molecular investigations of pyridine N-Oxide compounds as potential inhibitors of SARS-CoV-2: 3D QSAR, molecular docking modeling, and ADME…

2020

The new coronavirus SARS-CoV-2 virus is causing a severe pneumonia in human, provoking the serious outbreak epidemic CoV-2. Since its appearance in Wuhan, China on December 2019, CoV-2 becomes the biggest challenge the world is facing today, including the discovery of antiviral drug for SARS-CoV-2. In this study, the potential inhibitory of a class of human SARS inhibitors, namely pyridine N-oxide derivatives, against CoV-2 was addressed by quantitative structure-activity relationship 3 D-QSAR. The reliable CoMSIA developed model of 110 pyridine N-oxide based-antiviral compounds, showed Q

Quantitative structure–activity relationship2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)PyridinesvirusesIn silicoSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)030303 biophysicsQuantitative Structure-Activity Relationshipmedicine.disease_causeAntiviral Agents03 medical and health sciencesStructural BiologymedicineHumansProtease InhibitorsMolecular BiologyCoronavirus0303 health sciencesSARS-CoV-2ChemistryDrug discoveryCOVID-19virus diseasesGeneral Medicinerespiratory systembiochemical phenomena metabolism and nutritionVirologyrespiratory tract diseasesMolecular Docking SimulationJournal of Biomolecular Structure and Dynamics
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Interaction between flavour compounds and beta-lactoglobulin: approach by NMR and 2D/3D-QSAR studies of ligands

2004

 author cannot archive publisher's version/PDF; International audience; Interactions between flavour compounds and beta-lactoglobulin (BLG) have been the subject of several studies, but there are no unanimous binding site explanations. In our laboratory, interactions between BLG, and two flavour compounds, beta-ionone and gamma-decalactone, were studied by 2D-NMR spectroscopy. It appears that several amino acids affected by binding of gamma-decalactone are buried in the central cavity, whereas binding of beta-ionone affects amino acids located in a groove near the outer surface of the protein. 2D/3D-QSAR studies were performed using QSAR+ module of Cerius2 and Catalyst. The QSAR equation pr…

Quantitative structure–activity relationshipAROMAMolecular modelStereochemistry01 natural sciences03 medical and health sciencesComputational chemistryMolecular descriptor[SDV.IDA]Life Sciences [q-bio]/Food engineeringFLAVOURBinding site030304 developmental biology3D-QSAR0303 health sciencesChemistryHydrogen bondLigand[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringGeneral Chemistry[SDV.IDA] Life Sciences [q-bio]/Food engineeringAffinitiesBETA-LACTOGLOBULIN0104 chemical sciences010404 medicinal & biomolecular chemistry2D-QSAR2D-NMRTwo-dimensional nuclear magnetic resonance spectroscopyFood Science
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Quantitative Structure–Activity Relationship of the 4,5α-Dihydrotestosterone Steroid Family

2006

Predictive Quantitative Structure - Activity Relationship (QSAR) models of Anabolic/ Androgenic (A/A) activities for the 4,5a-dihydrotestosterone steroid family were obtained by means of multilinear regression using quantum and physicochemical Molecular Descriptors (MDs) as well as a genetic algorithm for the selection of the best subset of MDs. MDs included in our QSAR models allow the structural interpretation of the biological process, evidencing the main role of the shape of molecules, hydrophobicity, and electronic properties. Attempts were made to include lipophilicity (octanol-water partition coefficient) as well as electronic (lowest unoccupied molecular orbital properties and dipol…

Quantitative structure–activity relationshipAnabolismStereochemistryChemistrymedicine.medical_treatmentOrganic ChemistryRing (chemistry)Computer Science ApplicationsSteroidMolecular descriptorDihydrotestosteroneDrug DiscoveryLipophilicitymedicineAnabolic steroidmedicine.drugQSAR & Combinatorial Science
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Quantitative Structure-Antioxidant Activity Models of Isoflavonoids: A Theoretical Study

2015

Seventeen isoflavonoids from isoflavone, isoflavanone and isoflavan classes are selected from Dalbergia parviflora. The ChEMBL database is representative from these molecules, most of which result highly drug-like. Binary rules appear risky for the selection of compounds with high antioxidant capacity in complementary xanthine/xanthine oxidase, ORAC, and DPPH model assays. Isoflavonoid structure-activity analysis shows the most important properties (log P, log D, pKa, QED, PSA, NH + OH ≈ HBD, N + O ≈ HBA). Some descriptors (PSA, HBD) are detected as more important than others (size measure Mw, HBA). Linear and nonlinear models of antioxidant potency are obtained. Weak nonlinear relationship…

Quantitative structure–activity relationshipAntioxidantantioxidantStereochemistryDPPHDalbergiamedicine.medical_treatmentQuantitative Structure-Activity RelationshipFlavonesArticleAntioxidantsCatalysisInorganic Chemistrylcsh:Chemistrychemistry.chemical_compoundIsoflavonoidmedicineStructure–activity relationshipPhysical and Theoretical ChemistryXanthine oxidaseMolecular Biologylcsh:QH301-705.5Spectroscopychemistry.chemical_classificationChemistryQSARstructure-activity relationshippoor absorption or permeationOrganic ChemistryGeneral MedicineIsoflavonesIsoflavonesComputer Science ApplicationsADMETBiochemistrylcsh:Biology (General)lcsh:QD1-999Oxidation-ReductionabsorptionInternational Journal of Molecular Sciences
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