Search results for "COV"

showing 10 items of 9749 documents

Phenolic Profiles, Antioxidant and Anti-Inflammatory Activities of Hydrodistillation Wastewaters from Five Lamiaceae Species

2022

Distillation is the most widely used method to obtain an essential oil from plant material. The biomass used in the process is returned as a solid residue together with variable amounts of water rich in water-soluble compounds, which currently are not addressed to any further application. The scope of this work was to evaluate the phytochemical composition of wastewaters coming from hydrodistillation (DWWs) of five aromatic plants belonging to the Lamiaceae family, and to assess their in vitro antioxidant and anti-inflammatory activities. The phenolic profiles of the DWWs were determined by HPLC-DAD and HPLC-ESI/MS. Free radical scavenging ability, oxygen radical antioxidant capacity and su…

radical scavengingrosmarinic aciddistillation wastes; phenolic profile; rosmarinic acid; intestinal inflammation; anti-inflammatory; radical scavenging; antioxidantantioxidantLamiaceaePlant ExtractsSettore AGR/13 - Chimica AgrariaPhytochemicalsOrganic ChemistryAnti-Inflammatory AgentsWaterPharmaceutical ScienceWastewaterphenolic profileAntioxidantsSettore AGR/02 - Agronomia E Coltivazioni ErbaceeAnalytical ChemistryPhenolsChemistry (miscellaneous)intestinal inflammationDrug DiscoveryMolecular Medicinedistillation wastePhysical and Theoretical Chemistryanti-inflammatoryMolecules
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Radiolabeling of Nanoparticles and Polymers for PET Imaging

2014

Nanomedicine has become an emerging field in imaging and therapy of malignancies. Nanodimensional drug delivery systems have already been used in the clinic, as carriers for sensitive chemotherapeutics or highly toxic substances. In addition, those nanodimensional structures are further able to carry and deliver radionuclides. In the development process, non-invasive imaging by means of positron emission tomography (PET) represents an ideal tool for investigations of pharmacological profiles and to find the optimal nanodimensional architecture of the aimed-at drug delivery system. Furthermore, in a personalized therapy approach, molecular imaging modalities are essential for patient screeni…

radiolabelingmedicine.medical_specialtyPharmaceutical ScienceNanoparticlelcsh:Medicinelcsh:RS1-441NanotechnologyReviewlcsh:Pharmacy and materia medicaDrug DiscoverymedicineMedical physicsPersonalized therapypolymersmedicine.diagnostic_testbusiness.industrylcsh:RPositron emittersimagingPet imagingnanomedicinepositron emitterPETPositron emission tomographyDrug deliverydrug deliveryMolecular MedicineNanomedicinenanoparticlesMolecular imagingbusinessPharmaceuticals
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Prevalencia y factores de desgaste profesional en radiólogos durante la pandemia COVID-19

2022

Antecedentes: La epidemia por coronavirus 2019 (COVID-19) se ha extendido por todo el mundo desde principios de 2020, sometiendo a los profesionales sanitarios a una sobrecarga laboral ya un mayor nivel de estrés físico y emocional. Objetivos: El objetivo de este estudio es determinar la prevalencia de desgaste profesional y sus posibles factores asociados en los radiólogos españoles durante la COVID-19, y su comparación con la situación previa a la pandemia. Métodos: Estudio observacional realizado entre los meses de abril y agosto de 2020 (durante la pandemia) mediante una encuesta en línea. Se obtuvieron un total de 150 respuestas. Se recopiló y comparó la información demográfica y labor…

radiólogosEmotional exhaustionagotamiento emocionalAgotamiento emocionalBurnout PsychologicalArticleRadiólogosRadiologistsPrevalenceHumansRealización personalRadiology Nuclear Medicine and imagingProfessional exhaustionDespersonalizaciónChildBurnout ProfessionalPandemicsGeneral Environmental ScienceburnoutCOVID-19Syndrome:CIENCIAS MÉDICAS [UNESCO]Desgaste profesionaldesgaste profesionalDepersonalizationUNESCO::CIENCIAS MÉDICASGeneral Earth and Planetary SciencesPersonal fulfillmentrealización personalRadiologia
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Determinants of the interannual relationships between remote sensed photosynthetic activity and rainfall in tropical Africa

2007

International audience; The response of photosynthetic activity to interannual rainfall variations in Africa South of the Sahara is examined using 20 years (1981-2000) of Normalised Difference Vegetation Index (NDVI) AVHRR data. Linear correlations and regressions were computed between annual NDVI and annual rainfall at a 0.5° latitude/longitude resolution, based on two gridded precipitation datasets (Climate Prediction Center Merged Analysis of Precipitation [CMAP] and Climatic Research Unit [CRU]). The spatial patterns were then examined to detect how they relate to the mean annual rainfall amounts, land-cover types as from the Global Land Cover 2000 data set, soil properties and soil typ…

rainfall use efficiencyNDVIinterannual variabilitySoil ScienceLand coverprecipitationSpatial distributionNormalized Difference Vegetation IndexLatituderemote sensing[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatologyland coverVegetation indexvegetationRainfall rateWest Africa[ SDE.MCG.CG ] Environmental Sciences/Global Changes/domain_sde.mcg.cgSpatial distributionPrecipitationComputers in Earth SciencesclimateClimatic conditionphotosynthesisspatial variations[SDE.MCG.CG] Environmental Sciences/Global Changes/domain_sde.mcg.cgGeologyVegetationAridClimatic dataClimatologysoil propertiescorrelationAfricaSpatial ecologyEnvironmental sciencesoil typesregression[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologySouthern Africafire
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Global Estimation of Biophysical Variables from Google Earth Engine Platform

2018

This paper proposes a processing chain for the derivation of global Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction Vegetation Cover (FVC), and Canopy water content (CWC) maps from 15-years of MODIS data exploiting the capabilities of the Google Earth Engine (GEE) cloud platform. The retrieval chain is based on a hybrid method inverting the PROSAIL radiative transfer model (RTM) with Random forests (RF) regression. A major feature of this work is the implementation of a retrieval chain exploiting the GEE capabilities using global and climate data records (CDR) of both MODIS surface reflectance and LAI/FAPAR datasets allowing the global estim…

random forestsCWC010504 meteorology & atmospheric sciencesMean squared errorScience0211 other engineering and technologiesGoogle Earth Engine; LAI; FVC; FAPAR; CWC; plant traits; random forests; PROSAIL02 engineering and technologyLand cover01 natural sciencesAtmospheric radiative transfer codesRange (statistics)Parametrization (atmospheric modeling)FAPARLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingPROSAILQ15. Life on landFVCLAIRandom forestplant traits13. Climate actionPhotosynthetically active radiationGeneral Earth and Planetary SciencesEnvironmental scienceGoogle Earth EngineRemote Sensing; Volume 10; Issue 8; Pages: 1167
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Improvements and applications of the elements of prototype-based clustering

2018

Clustering or cluster analysis is an essential part of data mining, machine learning, and pattern recognition. The most popularly applied clustering methods are partitioning-based or prototype-based methods. Prototype-based clustering methods usually have easy implementability and good scalability. These methods, such as K-means clustering, have been used for different applications in various fields. On the other hand, prototype-based clustering methods are typically sensitive to initialization, and the selection of the number of clusters for knowledge discovery purposes is not straightforward. In the era of big data, in high-velocity, ever-growing datasets, which can also be erroneous, outl…

random projectionparallel computingknowledge discoveryclustering initializationminimal learning machinedata miningprototype-based clusteringmachine learningkoneoppiminenbig datarinnakkaiskäsittelyklusterianalyysitiedonlouhintarobust clusteringK-means
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Kansainvälinen tilannekatsaus COVID-19 pandemian vaikutuksista ohjaukseen

2021

raportittyövoimapalvelutpoikkeusolotammatinvalinnanohjausCOVID-19urasuunnittelukansainvälinen vertailu
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Psychosocial factors affecting employees of clean room work environments during Covid-19 infection

2021

Psihosociālie faktori tīro telpu darba vidē strādājošajiem Covid-19 infekcijas laikā. Darba autore: Ilze Kaugija. Darba zinātniskais vadītājs: Dr.ķīm. Ingars Reinholds. Darbs uzrakstīts uz 75 lpp., 23 ietver attēlus, 12 tabulas, 75 informatīvos avotus. Pētījuma tēzes sastāv no 4 daļām. Pirmā daļa ietver literatūras analīzi par tīrajām telpām, psihosociālajiem riska faktoriem, saslimšanām un attiecīgajiem normatīvajiem aktiem un Covid-19 pandēmijas ietekmi uz darba vidi. Otrajā daļā aprakstītas pētījumā izmantotās metodes: psiholoģiskā klimata darba vidē novērtēšanas metode, Cox un A. Griffith tests, K. Maslačas emocionālās izdegšanas aptauja, depresijas tests un Č.D. Spīlbergera trauksmes a…

ražošanastresspsihosociālie riskiDarba vides aizsardzība un ekspertīzetīrās telpasCovid-19
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Describing a network using the ‘Resource-Competences, Organizations, Value’ Business Model

2021

International audience; The network literature reveals some trouble to reconciliate the ambivalence between individual and collective goals inside a network. The purpose of this research is to develop a tool to identify key insights of a network and associated organizations. In particular, following the Resource-Competencies Organization Value (RCOV) framework, this study identifies the contributions of each organization inside a network. Knowing the responsibility of each organization in their network’s strength and tensions could help to solve those ambivalences. Applied to a network, the Demil and Lecocq‘s (2010) RCOV Business Model, could reveal key inputs of a network that each organiz…

record label[SHS.GESTION]Humanities and Social Sciences/Business administrationNetworkRCOV Business Model[SHS.GESTION] Humanities and Social Sciences/Business administrationmini-case studies
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Società in house e crisi d’impresa alla luce dell’art. 14 TUSP

2021

The article analyzes the content of Article 14 TUSP (i.e. the Italian Law on Publicly Owned Companies), affirming its applicability also to in-house companies. Particular attention is paid to the regulation of the recovery / restructuring plans mentioned therein and to the interrelationships existing between the latter and the similar (but different) institution of the “certified recovery plans” mentioned by the current Article 67, paragraph 3, lett. d), Bankruptcy Law. Further considerations are addressed to the possibility that theabovementioned recovery plan contemplates the sale of the public shareholdings held by the parent company in the in-house company. Finally, a concise concluding…

recovery / restructuring planPublicly Owned CompanieTUSPin-house companieBankruptcy Lawcorporate crisi
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