Search results for "mlr"

showing 5 items of 5 documents

Eco-Friendly Estimation of Heavy Metal Contents in Grapevine Foliage Using In-Field Hyperspectral Data and Multivariate Analysis

2019

Heavy metal monitoring in food-producing ecosystems can play an important role in human health safety. Since they are able to interfere with plants’ physiochemical characteristics, which influence the optical properties of leaves, they can be measured by in-field spectroscopy. In this study, the predictive power of spectroscopic data is examined. Five treatments of heavy metal stress (Cu, Zn, Pb, Cr, and Cd) were applied to grapevine seedlings and hyperspectral data (350−2500 nm), and heavy metal contents were collected based on in-field and laboratory experiments. The partial least squares (PLS) method was used as a feature selection technique, and multiple linear regressions (…

010504 meteorology & atmospheric sciencesScience010501 environmental sciences01 natural sciencesMetalHuman healthLinear regressionPartial least squares regressionSpectroscopyheavy metals0105 earth and related environmental sciencesChemistrysvmQfungifield spectroscopy; hyperspectral; heavy metals; grapevine; PLS; SVM; MLRHyperspectral imagingfood and beveragesHeavy metalsplsEnvironmentally friendlyfield spectroscopygrapevinemlrhyperspectralvisual_artEnvironmental chemistryvisual_art.visual_art_mediumGeneral Earth and Planetary SciencesRemote Sensing; Volume 11; Issue 23; Pages: 2731
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Investigation on Quantitative Structure-Activity Relationships of 1,3,4-Oxadiazole Derivatives as Potential Telomerase Inhibitors.

2020

Background:Telomerase, a reverse transcriptase, maintains telomere and chromosomes integrity of dividing cells, while it is inactivated in most somatic cells. In tumor cells, telomerase is highly activated, and works in order to maintain the length of telomeres causing immortality, hence it could be considered as a potential marker to tumorigenesis.A series of 1,3,4-oxadiazole derivatives showed significant broad-spectrum anticancer activity against different cell lines, and demonstrated telomerase inhibition.Methods:This series of 24 N-benzylidene-2-((5-(pyridine-4-yl)-1,3,4-oxadiazol-2yl)thio)acetohydrazide derivatives as telomerase inhibitors has been considered to carry out QSAR studies…

0301 basic medicineModels MolecularTelomeraseQuantitative structure–activity relationship2D descriptorsDatasets as TopicQuantitative Structure-Activity RelationshipAntineoplastic Agents010402 general chemistry01 natural sciencesModels BiologicalAnticancer activityMLR03 medical and health sciencesInhibitory Concentration 50Drug DiscoveryLeast-Squares AnalysisTelomerase134-oxadiazolesOxadiazolesMolecular StructureDrug discoveryChemistryQSARQuantitative structureCombinatorial chemistry0104 chemical sciencesTelomerase inhibitors030104 developmental biology1 3 4 oxadiazole derivativesDrug Screening Assays AntitumorCurrent drug discovery technologies
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A QSAR study investigating the potential anti-HIV-1 effect of some acyclovir and ganciclovir analogs

2009

A QSAR study, involving the use of calculated physical-chemical properties (TSAR TM ), and the use of a neural network approach (TSAR TM ), has been performed on the potential anti-HIV-1 activity of a series of Acyclovir and Ganciclovir analogs. Model obtained allows reliable predictions for the anti-HIV-1 activity of these derivatives, and showed that the presence of the Ganciclovir chain in triazolopyrrolopyrimidine and pyrimidopyrrolopyrimidine series seems to increase the antiviral effect.

GanciclovirAnti hiv 1Quantitative structure–activity relationshipStereochemistryChemistryOrganic ChemistrymedicineQSAR neural network BMLR anti-HIV-1 activityvirus diseasesPharmacologySettore CHIM/08 - Chimica Farmaceuticamedicine.drug
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ALTERNATIVE MODELS FOR BUILDING ENERGY PERFORMANCE ASSESSMENT

2020

The research activity carried out during the three years of the PhD course attended, at the Engineering Department of the University of Palermo, was aimed at the identification of an alternative predictive model able to solve the traditional building thermal balance in a simple but reliable way, speeding up any first phase of energy planning. Nowadays, worldwide directives aimed at reducing energy consumptions and environmental impacts have focused the attention of the scientific community on improving energy efficiency in the building sector. The reduction of energy consumption and CO2 emissions for heating and cooling needs of buildings is an important challenge for the European Union, be…

Settore ING-IND/11 - Fisica Tecnica AmbientaleBuilding thermal balance Alternative predictive models MLR Buckingham method ANN Multiple Criteria Assessment LCA
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Análisis de métodos de validación cruzada para la obtención robusta de parámetros biofísicos

2015

[EN] Non-parametric regression methods are powerful statistical methods to retrieve biophysical parameters from remote sensing measurements. However, their performance can be affected by what has been presented during the training phase. To ensure robust retrievals, various cross-validation sub-sampling methods are often used, which allow to evaluate the model with subsets of the field dataset. Here, two types of cross-validation techniques were analyzed in the development of non-parametric regression models: hold-out and k-fold. Selected non-parametric linear regression methods were least squares Linear Regression (LR) and Partial Least Squares Regression (PLSR), and nonlinear methods were…

TeledeteccióGeography Planning and Developmentlcsh:G1-922Least squaresCross-validationValidación cruzadaProcesos gausianosHold-outAnàlisi de regressióLinear regressionStatisticsPartial least squares regressionEarth and Planetary Sciences (miscellaneous)MLRAbusiness.industryCross-validationRegression analysisPattern recognitionRegresión de Kernel RidgeAprendizaje automáticoRegressionK-foldHold-OutGeographyk-foldPrincipal component regressionArtificial intelligencebusinessKernel Ridge regressionNonlinear regressionGaussian process regressionlcsh:Geography (General)Revista de Teledetección
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