Search results for "Principal Component Analysis"

showing 10 items of 486 documents

Network meta-analysis of randomized trials in multiple myeloma: Efficacy and safety in frontline therapy for patients not eligible for transplant

2022

The treatment scenario for newly-diagnosed transplant-ineligible multiple myeloma patients (NEMM) is quickly evolving. Currently, combinations of proteasome inhibitors (PI) and/or immunomodulatory drugs (IMiD) +/- the monoclonal antibody Daratumumab are used for first-line treatment, even if head-to-head comparisons are lacking. To compare efficacy and safety of these regimens, we performed a network meta-analysis (NMA) of 27 phase 2/3 randomized trials including a total of 12935 patients and 23 different schedules. Four efficacy/outcome and one safety indicators were extracted and integrated to obtain (for each treatment) the surface under the cumulative ranking-curve (SUCRA), a metric use…

multiple myelomaCancer ResearchOncologyprincipal component analysisnon-transplant eligibleI line treatment multiple myeloma network meta-analysis non-transplant eligible principal component analysisHematologyGeneral MedicineSettore MED/15 - Malattie del SangueI line treatmentnetwork meta-analysisI line treatment; multiple myeloma; network meta-analysis; non-transplant eligible; principal component analysis;
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Indirect chronology method employing rare earth elements to identify Sagunto Castle mortar construction periods

2017

A novel indirect chronology method has been developed to identify Sagunto Castle construction periods. The method is based on the use of inductively coupled plasma mass spectrometry (ICP-MS) to determine rare earth elements (REE) and other trace elements in mortars. Additionally, a no destructive geochemical analysis based on X-ray fluorescence (XRF) was employed for major elements determination. Collected chemical data were processed through Principal Component Analysis (PCA) to highlight any differences among the mortars belonging to different buildings and construction periods. The results show that PCA analysis permits to discriminate construction periods according to mortar sample REE …

multivariate statistics060102 archaeologyRare Earth Elements (REE)010401 analytical chemistryRare earthChemical dataMineralogyindirect chronology06 humanities and the artsMortar Rare Earth Elements (REE) ICP-MS multivariate statistics indirect chronology Sagunto Castle.01 natural sciencesSagunto Castle0104 chemical sciencesAnalytical ChemistryMortarStratigraphyPrincipal component analysisICP-MS0601 history and archaeologyMortarInductively coupled plasma mass spectrometrySpectroscopyGeologyChronologyMicrochemical Journal
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Event-related potentials as a measure of speech cue processing in newborns with genetic risk for dyslexia

1999

newbornsprincipal component analysisconsonant differentiationbrain event related potentialsdevelopmental dyslexiaauditory processing
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Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques

2019

Sustainable management of orchard fields requires detailed information about the tree types, which is a main component of precision agriculture programs. To this end, hyperspectral imagery can play a major role in orchard tree species mapping. Efficient use of hyperspectral data in combination with field measurements requires the development of optimized band selection strategies to separate tree species. In this study, field spectroscopy (350 to 2500 nm) was performed through scanning 165 spectral leaf samples of dominant orchard tree species (almond, walnut, and grape) in Chaharmahal va Bakhtiyari province, Iran. Two multivariable methods were employed to identify the optimum wavelengths:…

optimal spectral wavelengths010504 meteorology & atmospheric sciences0211 other engineering and technologiesRed edge02 engineering and technologyfield spectroscopy; orchards species; ANOVA–RFC–PCA; PLS; optimal spectral wavelengths; discriminant analysis01 natural sciencesPartial least squares regressionlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensinganova–rfc–pcaorchards speciesNear-infrared spectroscopyHyperspectral imaging15. Life on landplsLinear discriminant analysisdiscriminant analysisfield spectroscopyRandom forestTree (data structure)Principal component analysisGeneral Earth and Planetary Scienceslcsh:QRemote Sensing
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Statistical analyses on the essential oil of italian coriander (coriandrum sativum L.) fruits of different ages and origins

2002

Thirty-one samples of Coriandrum sativum L. fruits, of different origin, year of cultivation (harvest) and crop management systems were subjected to volatile component analysis by combining Head Space Solid Phase Microextraction (HS-SPME) with GC/MS. In order to determine the importance of the major sources of volatile variability, some statistical analyses, including Cluster Analysis (CA) and Principal Component Analysis (PCA), were performed on the obtained data. The compounds, which gave the main contribution to the partition and classification of the original data, were α-pinene, p-cymene, γ-terpinene and linalool. The age of the fruits, which ranged from 1–16 years, seemed to generate …

p-CymeneCoriander variabilityCoriandrumSolid-phase microextractionLinaloollaw.inventionchemistry.chemical_compoundSativumLinaloollawBotanyCoriandrum sativumγ-terpineneEssential oilApiaceaebiologyChemistryGeneral Chemistrybiology.organism_classificationHorticultureStatistical analysisPrincipal component analysisα-pineneEssential oil compositionP-cymeneLimoneneApiaceae
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Estudios estratégicos para la lucha contra la fascioliasis humana a nivel mundial = Strategic studies for the fight against de human fascioliasis wor…

2013

Fascioliasis is a zoonotic parasitic disease caused by Fasciola hepatica and F. gigantica. Emergence of human fascioliasis prompted a worldwide control initiative including a pilot study in several countries. Given the necessity to characterize the fasciolid populations involved, the overall aim of the present research is, first, the phenotypic characterization of faciolid adults and eggs implicated in human endemic areas, where this initiative has been implemented, through a computer image analysis system (CIAS) applied on the basis of standardized measurements. Second, new immunological techniques and their potential use as immunological diagnostic tests in those areas are evaluated. The …

pigsheepprincipal component analysisexperimental populationperuwistarbiometry:CIENCIAS DE LA VIDA [UNESCO]worldwide control initiativeparasitic diseasesnatural populationUNESCO::CIENCIAS DE LA VIDAboliviahumanegyptbolivian altiplanouterusadultMM3 coproantigenF. giganticaF. hepaticageorgiavietnamcajamarca valleygrowth modelcattlenumber per gram of faecesDRG Fasciola hepatica testeggmantaro valley
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A Statistical Approach for A-Posteriori Deployment of Microclimate Sensors in Museums: A Case Study

2022

[EN] The deployment of sensors is the first issue encountered when microclimate monitoring is planned in spaces devoted to the conservation of artworks. Sometimes, the first decision regarding the position of sensors may not be suitable for characterising the microclimate close to climate sensitive artworks or should be revised in light of new circumstances. This paper fits into this context by proposing a rational approach for a posteriori deployment of microclimate sensors in museums where long-term temperature and relative humidity observations were available (here, the Rosenborg Castle, Copenhagen, Denmark). Different statistical tools such as box-and-whisker plots, principal component …

principal component analysisMuseumsClimatemuseumESTADISTICA E INVESTIGACION OPERATIVAtemperatureHumidityUNESCO::CIENCIAS ECONÓMICASmultivariate approachsensorsrelative humidityBiochemistryAtomic and Molecular Physics and OpticsAnalytical Chemistrymuseum; microclimate; multivariate approach; principal component analysis; cluster analysis; sensors; deployment; temperature; relative humiditycluster analysis; deployment; microclimate; multivariate approach; museum; principal component analysis; relative humidity; sensors; temperature; Climate; Humidity; Temperature; Microclimate; MuseumsFISICA APLICADAdeploymentElectrical and Electronic EngineeringInstrumentationmicroclimatecluster analysisSensors; Volume 22; Issue 12; Pages: 4547
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UInDeSI4.0 : An efficient Unsupervised Intrusion Detection System for network traffic flow in Industry 4.0 ecosystem

2023

In an Industry 4.0 ecosystem, all the essential components are digitally interconnected, and automation is integrated for higher productivity. However, it invites the risk of increasing cyber-attacks amid the current cyber explosion. The identification and monitoring of these malicious cyber-attacks and intrusions need efficient threat intelligence techniques or intrusion detection systems (IDSs). Reducing the false positive rate in detecting cyber threats is an important step for a safer and reliable environment in any industrial ecosystem. Available approaches for intrusion detection often suffer from high computational costs due to large number of feature instances. Therefore, this paper…

principal component analysisintrusion detectionisolation forestälytekniikkaICAvalvontajärjestelmätindustry 4.0kyberturvallisuustuotantotekniikkaverkkohyökkäyksetrandom forest
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Closed tank pneumatic press application to improve Sauvignon Blanc wine quality and nutraceutical properties

2019

The machines used in the winemaking process directly affect the quality of wine and its nutraceutical properties. Grapes-pressing is a very important step in winemaking as it may promote the presence and/or absence of enzymatic processes on the must, leading to the creation of different products in terms of chemical composition, starting from the same grapes. The aim of the study was to compare two different pressing systems of Sauvignon Blanc grapes using an innovative pneumatic discontinuous closed tank press in two operating modes: the traditional pressing mode in presence of oxygen and the inert pressing mode, performed through grapes pressing under inert gas with nitrogen recovery. Che…

principal component analysismedia_common.quotation_subjectBioengineering030204 cardiovascular system & hematologyIndustrial and Manufacturing Engineering040501 horticulturelcsh:Agriculture03 medical and health sciences0302 clinical medicineNutraceuticalwinemaking.Quality (business)lcsh:Agriculture (General)Inert gasBrowning reactionWinemakingmedia_commoninert atmosphere low-oxygen must pressing principal component analysis winemakingPressingWineInertMechanical Engineeringlcsh:SSettore AGR/09 - Meccanica AgrariaInert pressingmust and wine04 agricultural and veterinary sciencesPulp and paper industrylcsh:S1-972Environmental science0405 other agricultural sciencesJournal of Agricultural Engineering
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Determination of Changes in the Quality of Surface Water in the River—Reservoir System

2021

Assessing the changing parameters of water quality at different points in the river–reservoir system can help prevent river pollution and implement remedial policies. It is also crucial in modeling water resources. Multivariate statistical analysis is useful for the analysis of changes in surface water quality. It helps to identify indicators that may be responsible for the eutrophication process of a reservoir. Additionally, the analysis of the water quality profile and the water quality index (WQI) is useful in assessing water pollution. These tools can support and verify the results of a multivariate statistical analysis. In this study, changes in water quality parameters of the Turawa r…

reservoirRDAriver0208 environmental biotechnologyGeography Planning and Developmentlcsh:TJ807-830lcsh:Renewable energy sourceschemistry.chemical_elementSoil science02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and Law01 natural scienceswater qualitywater quality; reservoir; river; eutrophication; RDA; PCA; WQI; water quality profileWater pollutionlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350PCARenewable Energy Sustainability and the EnvironmentPhosphoruslcsh:Environmental effects of industries and plantsNitrogen020801 environmental engineeringWater resourceseutrophicationlcsh:TD194-195chemistryPrincipal component analysisEnvironmental scienceWater qualityEutrophicationSurface waterSustainability
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