Search results for "FOREST"

showing 10 items of 3780 documents

Piro-piro piccolo, Actitis hypoleucos Linnaeus 1758, che si alimenta in ambiente urbano a Pantelleria

2011

AdattamentoSettore AGR/05 - Assestamento Forestale E Selvicoltura
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A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time

2017

[EN] This work presents a data-driven method to simulate, in real-time, the biomechanical behavior of the breast tissues in some image-guided interventions such as biopsies or radiotherapy dose delivery as well as to speed up multimodal registration algorithms. Ten real breasts were used for this work. Their deformation due to the displacement of two compression plates was simulated off-line using the finite element (FE) method. Three machine learning models were trained with the data from those simulations. Then, they were used to predict in real-time the deformation of the breast tissues during the compression. The models were a decision tree and two tree-based ensemble methods (extremely…

AdultFinite element methodsMean squared errorComputer scienceQuantitative Biology::Tissues and OrgansINGENIERIA MECANICAFinite Element AnalysisPhysics::Medical PhysicsDecision treeBreast compressionHealth Informatics02 engineering and technologyMachine learningcomputer.software_genreModels Biological030218 nuclear medicine & medical imagingSet (abstract data type)03 medical and health sciencesImaging Three-Dimensional0302 clinical medicineMachine learning0202 electrical engineering electronic engineering information engineeringHumansBreastbusiness.industryModelingEnsemble learningFinite element methodComputer Science ApplicationsRandom forestEuclidean distanceTree (data structure)Female020201 artificial intelligence & image processingArtificial intelligenceBreast biomechanicsbusinesscomputerLENGUAJES Y SISTEMAS INFORMATICOS
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Job characteristics, physical and psychological symptoms, and social support as antecedents of sickness absence among men and women in the private in…

2003

Most longitudinal studies on the relationship between psychosocial health resources and risks, and the employees' subsequent sickness absences have been conducted in the public sector. The purpose of this study was to find out psychosocial antecedents of sickness absenteeism in the private industrial sector. The effects of job characteristics (job autonomy and job complexity), physical and psychological symptoms, and social support (from coworkers and supervisors) on sickness absenteeism were investigated. The number of long (4-21 days) and very long (>21 days) sickness absence episodes of 3895 persons (76% men and 24% women, mean age 44 years) was obtained from the health registers of a mu…

AdultMaleHealth (social science)media_common.quotation_subjectSocial supportSex FactorsHistory and Philosophy of ScienceSurveys and QuestionnairesAbsenteeismHumansLongitudinal StudiesProspective StudiesWorkplaceFinlandmedia_commonbusiness.industryPublic sectorSocial SupportQuestionnaireForestryMiddle AgedPrivate sectorOccupational DiseasesWorkforceWorkforceAbsenteeismFemaleSick LeavePsychologybusinessPsychosocialSocial psychologyAutonomyFollow-Up StudiesDemographySocial Science & Medicine
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Uptake and elimination of permethrin related to the use of permethrin treated clothing for forestry workers

2014

Wearing of permethrin treated clothing usually implicates an uptake of permethrin by the user. Aim of our study was to examine the kinetics of internal permethrin exposure in volunteers during and after a single 8h-use of treated clothing as well as factors potentially influencing permethrin uptake. 28 male volunteers (age: 20-34 years) were equipped with permethrin treated jackets and pants from two different suppliers. The clothing was worn for 8h, simulating differing external conditions, including comfort conditions as well as conditions of increased temperature and humidity without and with additional physical workload. Internal permethrin exposure was monitored by determination of per…

AdultMaleInsecticidesTime FactorseducationToxicologyBenzoatesClothingExcretionToxicologyYoung AdultOccupational ExposurePyrethrinsparasitic diseasesmedicineHumansPermethrinbusiness.industryTemperatureForestryGeneral MedicineClothingOccupational exposurebusinessPermethrinmedicine.drugToxicology Letters
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Does Implementation Follow Design? A Case Study of a Workplace Health Promotion Program Using the 4-S Program Design and the PIPE Impact Metric Evalu…

2017

Objective: The aim of this study was to describe the content of a multiyear market-based workplace health promotion (WHP) program and to evaluate design and implementation processes in a real-world setting. Methods: Data was collected from the databases of the employer and the service provider. It was classified using the 4-S (Size, Scope, Scalability, and Sustainability) and PIPE Impact Metric (Penetration, Implementation) models. Data analysis utilized both qualitative and quantitative methods. Results: Program design covered well the evidence-informed best practices except for clear path toward sustainability, cooperation with occupational health care, and support from middle-management …

AdultMaleProcess managementEvidence-based practiceComputer sciencePhysical fitnessMEDLINEHealth PromotionRisk Assessmentterveyden edistäminen03 medical and health sciences0302 clinical medicineWorkplace health promotionohjelmat (suunnitelmat)Humans030212 general & internal medicineProgram Developmentta315WorkplaceExerciseRetrospective Studiesbusiness.industrytyöterveysPublic Health Environmental and Occupational HealthForestrytyöpaikatta3142Original ArticlesService providerMiddle Aged030210 environmental & occupational healthPhysical FitnessEvidence-Based PracticeFemaleMetric (unit)Program Design LanguageDiet HealthyRisk assessmentbusinessProgram Evaluation
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MRI radiomics-based machine-learning classification of bone chondrosarcoma.

2019

Abstract Purpose To evaluate the diagnostic performance of machine learning for discrimination between low-grade and high-grade cartilaginous bone tumors based on radiomic parameters extracted from unenhanced magnetic resonance imaging (MRI). Methods We retrospectively enrolled 58 patients with histologically-proven low-grade/atypical cartilaginous tumor of the appendicular skeleton (n = 26) or higher-grade chondrosarcoma (n = 32, including 16 appendicular and 16 axial lesions). They were randomly divided into training (n = 42) and test (n = 16) groups for model tuning and testing, respectively. All tumors were manually segmented on T1-weighted and T2-weighted images by drawing bidimensiona…

AdultMalemedicine.medical_specialtyArtificial intelligenceAppendicular skeletonChondrosarcomaFeature selectionBone NeoplasmsBone and BonesMachine LearningImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingRetrospective StudiesLearning classifier systemReceiver operating characteristicmedicine.diagnostic_testbusiness.industryReproducibility of ResultsMagnetic resonance imagingGeneral MedicineMiddle Agedmedicine.diseaseMagnetic Resonance ImagingRandom forestStatistical classificationmedicine.anatomical_structureTexture analysisROC CurveCartilaginous tumorFemaleRadiologyChondrosarcomaRadiomicNeoplasm GradingbusinessEuropean journal of radiology
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Effects of Particulate Matter on the Incidence of Respiratory Diseases in the Pisan Longitudinal Study

2020

The current study aimed at assessing the effects of exposure to Particulate Matter (PM) on the incidence of respiratory diseases in a sub-sample of participants in the longitudinal analytical epidemiological study in Pisa, Italy. Three hundred and five subjects living at the same address from 1991 to 2011 were included. Individual risk factors recorded during the 1991 survey were considered, and new cases of respiratory diseases were ascertained until 2011. Average PM10 and PM2.5 exposures (&micro

AdultMalemedicine.medical_specialtyLongitudinal studyPercentilelong-term exposureair pollution;Health Toxicology and Mutagenesisair pollutionRespiratory Tract Diseaseslcsh:Medicinerandom forest;010501 environmental sciencesLogistic regression01 natural sciencesArticle03 medical and health sciences0302 clinical medicinequestionnaire;Environmental healthEpidemiologyMedicineHumansLongitudinal StudiesRespiratory systemRespiratory healthrespiratory symptoms/diseases0105 earth and related environmental sciencesAgedparticulate matterAir Pollutantsbusiness.industryIncidence (epidemiology)questionnaireIncidencelcsh:RPublic Health Environmental and Occupational HealthEnvironmental ExposureParticulatesMiddle Aged030228 respiratory systemItalyFemalebusinessrandom forestparticulate matter;International Journal of Environmental Research and Public Health
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Subgrouping factors influencing migraine intensity in women: A semi-automatic methodology based on machine learning and information geometry

2019

[EN] Background Migraine is a heterogeneous condition with multiple clinical manifestations. Machine learning algorithms permit the identification of population groups, providing analytical advantages over other modeling techniques. Objective The aim of this study was to analyze critical features that permit the differentiation of subgroups of patients with migraine according to the intensity and frequency of attacks by using machine learning algorithms. Methods Sixty-seven women with migraine participated. Clinical features of migraine, related disability (Migraine Disability Assessment Scale), anxiety/depressive levels (Hospital Anxiety and Depression Scale), anxiety state/trait levels (S…

AdultMigraine DisordersMachine learningcomputer.software_genreMachine LearningDisability Evaluation03 medical and health sciences0302 clinical medicine030202 anesthesiologyMachine learningHumansMedicine03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesInformation geometryPhysical ExaminationMigraineMultisource variabilityThesaurus (information retrieval)business.industryMiddle Agedmedicine.diseaseAnesthesiology and Pain MedicineMigraineFISICA APLICADAFemaleArtificial intelligenceSemi automaticbusinessMATEMATICA APLICADAcomputer030217 neurology & neurosurgeryRandom forest
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Primeros hallazgos de Aedes (Stegomyia) albopictus (Skuse, 1894) en la provincia de Valencia, España

2013

First findings of Aedes (Stegomyia) albopictus (Skuse, 1894) in the province of Valencia, Spain Framed within the project "Entomological surveillance at airports and ports against vectors of imported infectious diseases, and sur- veillance of potential native vectors of these diseases", on Septem- ber 2011 Aedes albopictus (Diptera, Culicidae) is reported for the first time in the province of Valencia in the coastal municipalities of Sueca, Cullera and Gandia, using oviposition traps.

AedesAedes albopictusGeographybiologyForestrybiology.organism_classificationIndustrial and Manufacturing EngineeringAnales de Biología
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Dissolution and hydrolysis of fibre sludge using hydroxyalkylimidazolium hydrogensulphate ionic liquids

2014

Abstract The dissolution and hydrolysis of wet fibre sludge in ionic liquids (ILs) with different reaction conditions are performed in this study. Novel types of hydroxyalkylimidazolium hydrogensulphate ILs, [glymim]HSO 4 , [hemim]HSO 4 and [hpmim]HSO 4 , are especially designed and aimed to combine the dissolution and hydrolysis of wet fibre sludge in a one-step pretreatment. The results were obtained based on the analysis of total reducing sugars (TRS) with the DNS method. The dissolution and hydrolysis of fresh wild horse chestnut fruit ( Aesculus hippocastanum ) with the same ILs were also carried out as a comparison reference. Since fibre sludge is cellulose based and horse chestnut fr…

Aesculus hippocastanumReaction conditionsChromatographyRenewable Energy Sustainability and the EnvironmentStarchForestryHorse chestnutchemistry.chemical_compoundHydrolysischemistryIonic liquidta219CelluloseWaste Management and DisposalAgronomy and Crop ScienceDissolutionta116Biomass and Bioenergy
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