Search results for "Multiple Linear Regression"

showing 10 items of 40 documents

Application of molecular topology to the prediction of the antimalarial activity of a group of uracil-based acyclic and deoxyuridine compounds.

2008

A topological-mathematical model has been arranged to search for new derivatives of deoxyuridine and related compounds acting as antimalarials against Plasmodium falciparum. By using linear discriminant and multilinear regression analysis a model with two functions was capable to predict adequately the IC(50) for each compound of the training and test series. After carrying out a virtual screening based upon such a model, new structures potentially active against P. falciparum are proposed.

Models MolecularStereochemistryChemistry PharmaceuticalPlasmodium falciparumPharmaceutical ScienceQuantitative Structure-Activity Relationshipchemistry.chemical_compoundAntimalarialsUser-Computer Interfaceparasitic diseasesAnimalsTechnology PharmaceuticalComputer SimulationUracilTopology (chemistry)Virtual screeningbiologyMolecular StructureDiscriminant AnalysisUracilPlasmodium falciparumLinear discriminant analysisbiology.organism_classificationDeoxyuridineDeoxyuridinechemistryDrug DesignComputer-Aided DesignRegression AnalysisMultiple linear regression analysisMolecular topologyInternational journal of pharmaceutics
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Structural invariants for the prediction of relative toxicities of polychloro dibenzo-p-dioxins and dibenzofurans

2004

Multivariate models are reported that can predict the relative toxicity of compounds with severe environmental impact, namely polychloro dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs). Multiple linear regression analysis (MLR) and partial least square projections of latent variables (PLS) show the usefulness of graph-theoretical descriptors, mainly topological charge indices (TCIs), in these series. The general trends of the group are correctly reproduced and better results are presented than have previously been published. In general, the more toxic compounds exhibit more symmetric molecular structures.

Multivariate statisticsCarcinoma HepatocellularPolychlorinated DibenzodioxinsRelative toxicityQuantitative Structure-Activity RelationshipLatent variableDioxinsCatalysisInorganic ChemistryToxicologyComputational chemistryDrug DiscoveryLinear regressionCytochrome P-450 CYP1A1AnimalsSoil PollutantsLeast-Squares AnalysisPhysical and Theoretical ChemistryMolecular BiologyBenzofuransModels StatisticalChemistryOrganic ChemistryReproducibility of Resultsfood and beveragesNeoplasms ExperimentalGeneral MedicineModels TheoreticalRatsDisease Models AnimalModels ChemicalDrug DesignMultivariate AnalysisLinear ModelsEnvironmental PollutantsMultiple linear regression analysisInformation SystemsMolecular Diversity
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Multivariate regression analysis applied to the calibration of equipment used in pig meat classification in Romania.

2016

This paper highlights the statistical methodology used in a dissection experiment carried out in Romania to calibrate and standardize two classification devices, OptiGrade PRO (OGP) and Fat-o-Meat'er (FOM). One hundred forty-five carcasses were measured using the two probes and dissected according to the European reference method. To derive prediction formulas for each device, multiple linear regression analysis was performed on the relationship between the reference lean meat percentage and the back fat and muscle thicknesses, using the ordinary least squares technique. The root mean squared error of prediction calculated using the leave-one-out cross validation met European Commission (EC…

Multivariate statisticsMeatMean squared errorFood HandlingSwine0211 other engineering and technologies02 engineering and technologyCross-validationStatisticsCalibrationMedicineAnimals021110 strategic defence & security studiesbusiness.industryBack fatRomania0402 animal and dairy scienceRegression analysis04 agricultural and veterinary sciences040201 dairy & animal scienceAdipose TissueOrdinary least squaresCalibrationBody CompositionMultiple linear regression analysisbusinessFood ScienceMeat science
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Oral health-related quality of life after dental treatment in patients with intellectual disability

2020

Background The influence of dental treatment on oral health-related quality of life (OHRQOL) has rarely been evaluated in patients with intellectual disability (ID) through validated questionnaires. The aim of this study was to estimate the changes on OHRQOL in patients with ID after the implementation of an institutional dental treatment program under general anesthesia using the Franciscan Hospital for Children Oral Health-Related Quality of Life questionnaire (FHCOHRQOL-Q). Material and Methods A prospective longitudinal study was conducted on 85 patients (mean age=24.85 years) classified according to DSM-V whose parents/caregivers completed the FHC-OHRQOL-Q. We analyzed the changes in t…

Oral health-related quality of lifeLongitudinal studyGeneral anesthesiaDentistryOral HealthDental CariesOral health03 medical and health sciences0302 clinical medicineQuality of lifeIntellectual DisabilitySurveys and QuestionnairesIntellectual disabilityHumansMedicineIn patientLongitudinal StudiesProspective StudiesChildProspective cohort studySpecial needsGeneral Dentistrybusiness.industryResearchDMFT Index030206 dentistry:CIENCIAS MÉDICAS [UNESCO]Medically compromised patients in Dentistrymedicine.diseasestomatognathic diseasesOtorhinolaryngologyUNESCO::CIENCIAS MÉDICASDental treatmentQuality of LifeSurgeryMultiple linear regression analysisFranciscan Hospital for Children Oral Health-Related Quality of Life questionnairebusinessMedicina Oral Patología Oral y Cirugia Bucal
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UTILIZATION OF SOCIAL MEDIA AND ENTREPRENEUR KNOWLEDGE ON ENTREPRENEUR INTEREST STUDENT OF STIE PEMUDA SURABAYA

2021

This study aims to analyze the influence of the use of social media and entrepreneurial knowledge on the entrepreneurial interest of STIE Pemuda students both partially and simultaneously. This research is a descriptive quantitative research. The sample used was 100 students who had taken entrepreneurship courses. The data analysis method uses multiple linear regression analysis techniques.                     The results showed that partially the use of social media and entrepreneurial knowledge had a positive and significant effect on the entrepreneurial interest of STIE Pemuda Surabaya students. Simultaneously that the use of social media and entrepreneurial knowledge has a positive and …

Pulmonary and Respiratory MedicineEntrepreneurshipPediatrics Perinatology and Child HealthMathematics educationMultiple linear regression analysisSocial mediaSample (statistics)PsychologyDescriptive quantitativeAnalysis methodInternational Journal of Global Accounting, Management, Education, and Entrepreneurship
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Application of molecular topology to the prediction of antiparasitic activity against Giardia intestinalis and Trichomonas vaginalis of 2-Acylamino-n…

2020

Giardia intestinalis y Trichomonas vaginalis destacan por su importancia clínica. G. intestinalis causa la giardiosis, una parasitosis de gran importancia epidemiológica y clínica por presentar una elevada prevalencia. T. vaginalis causa la tricomoniasis, la enfermedad de transmisión sexual (ETS) no viral con mayor incidencia del mundo. Ambas parasitosis comparten el mismo tratamiento farmacológico: los nitroimidazoles. Se ha aplicado la topología molecular en la búsqueda de derivados del 2-Acylamino-nitro-1,3-tiazol con actividad antiparasitaria frente a G. intestinalis y T. vaginalis . Con el análisis lineal discriminante se obtuvo un modelo capaz de clasificar correctamente el 92,85 % de…

Sexually transmitted diseasePharmacologyHigh prevalenceMolecular topologyGiardiosisMolecular screeningTopología molecularBiologymedicine.disease_causeMolecular biologyPharmacological treatment2302.22 Farmacología MolecularFármacosmedicineTrichomonas vaginalisMultiple linear regression analysisParasitologíaParasitologyMolecular topology
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Multiple linear regression analysis of RF values of chlorinated catechols and guaiacols

1981

The multiple linear regression analysis of the RF values of chlorinated catechols and guaiacols has been carried out. The resolved terms, in the regression equation have been used to explain the relative mobility of chlorinated compounds to the reference compound (catechol or guaiacol). The best correlations have been observed for solvent systems which give the greatest standard deviations and relative differences between the RF values. A good correlation between the standard deviation of the RF values and the term which represents the effect of the chlorine atom ortho to the hydroxyl group(s) have also been observed.

Solvent systemCatecholOrganic ChemistryClinical BiochemistryChlorine atomAnalytical chemistryRegression analysisBiochemistryStandard deviationAnalytical Chemistrychemistry.chemical_compoundchemistrypolycyclic compoundsMultiple linear regression analysisGuaiacolChromatographia
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Substituent effects on13C NMR parameters of chlorinated diphenyl ethers. A multiple linear regression analysis

1995

13C NMR chemical shifts and nJ(C,H) coupling constants of polychlorinated diphenyl ethers (PCDEs) were measured and analysed. The chlorine substituent effects on the chemical shifts and the coupling constants were determined by a multiple linear regression analysis. The 13C NMR chemical shifts depend on the conformational preferences in PCDEs. In addition to single substituent effects, corrective terms reflecting the conformational state of the molecule and the mutual steric interactions of two chlorine atoms had to be taken into account for the reliable prediction of the 13C chemical shifts. In contrast to chemical shifts, conformational effects play a minor role in the substituent effects…

Steric effectsCoupling constantChemistryStereochemistryChemical shiftSubstituentGeneral ChemistryCarbon-13 NMRPolychlorinated diphenyl etherschemistry.chemical_compoundComputational chemistryMoleculeGeneral Materials ScienceMultiple linear regression analysisMagnetic Resonance in Chemistry
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The influence of climate change on the soil organic carbon content in Italy from 1961 to 2008

2011

Abstract Soils are the biggest carbon store in the world (1500 Gt, e.g. 1.5 × 10 21  g). The European Commission indicates the accounting of soil organic carbon (SOC) variations in space and time as the first step in the strategy for soil protection. It is indeed necessary in evaluating the risk of soil organic matter decline and soil biodiversity decline, and when evaluating the role played by soils in global CO 2 accounting. Previous maps of SOC variations in Italy did not consider the direct effect of climate. There is a marked inter-dependence between SOC and climate. SOC increases with the increase in precipitations and decreases with a rise in temperatures. It is also known that land …

TemperaturePrecipitationPedodiversity Carbon sequestration Multiple linear regressionRegression krigingSoil biodiversitySoil organic matterClimate changeSoil carbonAtmospheric sciencesPedogenesisSettore AGR/14 - PedologiaClimatologySoil waterPrecipitationArable landGeologyEarth-Surface Processes
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An approach to identify new antihypertensive agents using Thermolysin as model: In silico study based on QSARINS and docking

2019

Thermolysin is a bacterial proteolytic enzyme, considered by many authors as a pharmacological and biological model of other mammalian enzymes, with similar structural characteristics, such as angiotensin converting enzyme and neutral endopeptidase. Inhibitors of these enzymes are considered therapeutic targets for common diseases, such as hypertension and heart failure. In this report, a mathematical model of Multiple Linear Regression, for ordinary least squares, and genetic algorithm, for selection of variables, are developed and implemented in QSARINS software, with appropriate parameters for its fitting. The model is extensively validated according to OECD standards, so that its robust…

Virtual screeningChemistry(all)StereochemistryGeneral Chemical EngineeringIn silicoThermolysinComputational biology01 natural sciencesDockinglcsh:ChemistryThermolysinLinear regressionVirtual screening010405 organic chemistryChemistryProteolytic enzymesGeneral Chemistry0104 chemical sciences010404 medicinal & biomolecular chemistrylcsh:QD1-999Docking (molecular)Multiple Linear RegressionQSARINSOrdinary least squaresOutlierChemical Engineering(all)AntihypertensiveArabian Journal of Chemistry
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