Search results for "CLASSIFICATION"

showing 10 items of 29475 documents

Occurrence of three different binding sites forBacillus thuringiensisδ-endotoxins in the midgut brush border membrane of the potato tuber moth,phthor…

1994

The potato tuber moth is susceptible to at least three insecticidal crystal proteins (ICPs) from Bacillus thuringiensis: CrylA(b), CrylB, and CrylC. To design useful combinations of toxin genes either in transgenic plants or in new genetically modified B. thuringiensis strains, it is necessary to determine the binding characteristics of the different ICPs so as not to combine a pair sharing the same binding site. This has been accomplished using two different techniques: 125I-labeling of the ICPs with further measurement of the radioactivity bound to brush border membrane vesicles, and microscopic visualization of the bound ICPs by enzyme-linked reagents such as antibodies or streptavidin u…

education.field_of_studyintegumentary systemBrush borderPhysiologymusculoskeletal neural and ocular physiologyfungiPopulationMidgutGeneral MedicineBiologybiology.organism_classificationBiochemistryBacillaleshumanitiesPhthorimaea operculellaBiochemistryInsect ScienceBacillus thuringiensisBiotinylationBinding siteeducationArchives of Insect Biochemistry and Physiology
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Mathematical modelling of social obesity epidemic in the region of Valencia, Spain

2010

In this article, we analyse the incidence of excess weight in 24- to 65-year-old residents in the region of Valencia, Spain, and predict its behaviour in the coming years. In addition, we present some possible strategies to prevent the spread of the obesity epidemic. We use classical logistic regression analysis to find out that a sedentary lifestyle and unhealthy nutritional habits are the most important causes of obesity in the 24- to 65-year-old population in Valencia. We propose a new mathematical model of epidemiological type to predict the incidence of excess weight in this population in the coming years. Based on the mathematical model sensitivity analysis, some possible general stra…

education.field_of_studymedicine.medical_specialtybiologyApplied MathematicsIncidence (epidemiology)PopulationExcess weightbiology.organism_classificationLogistic regressionmedicine.diseaseObesityComputer Science ApplicationsGeographyControl and Systems EngineeringModeling and SimulationEpidemiologymedicineeducationValenciaSoftwareDemographySedentary lifestyleMathematical and Computer Modelling of Dynamical Systems
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HLA DQA1 and D1S80 in the Population of Valencia (Spain)

1996

education.field_of_studymedicine.medical_specialtybiologyPublic healthPopulationHuman leukocyte antigenEuropean populationbiology.organism_classificationGeographymedicineeducationAllele frequencyValenciaDemography
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Consumer wearable technologies to identify and monitor exercise-related arrhythmias in athletes

2020

PURPOSE OF REVIEW: The aim of this study was to synthesize the current evidence supporting and against the use of wearable devices to detect underlying heart conditions in athletes and the most significant limitations. RECENT FINDINGS: Although several large studies have been conducted to evaluate the ability of wearables devices to identify atrial fibrillation among the general population, no studies evaluating their ability to detect other exercise-related arrhythmias in athletes are very sparse. Most of the studies or case reports are focused on the wearables' reliability and accuracy compared with standard ECG. Only small studies evaluating the accuracy of one wearable device in athlete…

education.field_of_studymedicine.medical_specialtybiologybusiness.industryAthletesPopulationWearable computer030204 cardiovascular system & hematologybiology.organism_classification03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationMedicineDiagnostic data030212 general & internal medicineCardiology and Cardiovascular MedicinebusinesseducationWearable technologyStandard ECGHealthcare systemCurrent Opinion in Cardiology
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IFN-? in Candida albicans infections

2009

The dimorphic fungus Candida albicans is the most frequent etiologic agent that causes opportunistic infections called candidiasis, a disease whose systemic manifestation could prove fatal and whose incidence is increasing as a result of an expanding immunocompromised population. Here we review the role of interferon-gamma (IFN-gamma) in the host protection against invasive candidiasis. This cytokine plays an essential role in both the innate and adaptive arms of the immune response to candidiasis. We focus on recent progress on host-pathogen interactions at the molecular level, leading to the production of IFN-gamma by host cells. IFN-gamma is produced by CD4 Th1, CD8, gamma delta T, and n…

education.field_of_studymedicine.medical_treatmentPopulationDiseaseBiologybiology.organism_classificationCytokineImmune systemImmunologymedicineInterferon gammaCandida albicanseducationDimorphic fungusCD8medicine.drugFrontiers in Bioscience
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Natural recruitment contributes to high densities of grass carp Ctenopharyngodon idella (Valenciennes, 1844) in Western Europe

2015

Introductions of grass carp, well known for their potentially negative ecosystem effects, have been performed in several countries around the world. As the species was considered unable to reproduce naturally under non-native environmental conditions, little attention was initially given to its invasive potential. We studied an area in northern-Italy where, contrary to expectations, introductions that were performed in the early 80s still exert a considerable pressure on aquatic macrophytes. In order to reveal whether the observed population dynamics are the result of natural events or stocking we analysed the density, age- and size-structure of the grass carp population and the migration p…

education.field_of_studynatural reproductionEcologyPopulationAmbientalespawningstable isotopesAquatic animalAquatic ScienceBiologybiology.organism_classificationInvasive speciesGrass carpMacrophyteFisheryStockingItalyAquatic scienceta1181EcosystemeducationItaly; Natural reproduction; Spawning; Stable isotopes; Aquatic Science; Water Science and Technologyta119Water Science and Technology
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Prevention of 7-Ketocholesterol-Induced Overproduction of Reactive Oxygen Species, Mitochondrial Dysfunction and Cell Death with Major Nutrients (Pol…

2020

The brain, which is a cholesterol-rich organ, can be subject to oxidative stress in a variety of pathophysiological conditions, age-related diseases and some rare pathologies. This can lead to the formation of 7-ketocholesterol (7KC), a toxic derivative of cholesterol mainly produced by auto-oxidation. So, preventing the neuronal toxicity of 7KC is an important issue to avoid brain damage. As there are numerous data in favor of the prevention of neurodegeneration by the Mediterranean diet, this study aimed to evaluate the potential of a series of polyphenols (resveratrol, RSV

eicosapentaenoic acidPharmaceutical ScienceResveratrolDiet Mediterraneanmedicine.disease_causequercetinAnalytical ChemistryMicechemistry.chemical_compound0302 clinical medicineDrug Discoveryoxidative stressKetocholesterolsNeuronschemistry.chemical_classification0303 health sciencesCell Deathfood and beveragesdocosahexaenoic acidEicosapentaenoic acidMitochondriaBiochemistryChemistry (miscellaneous)Docosahexaenoic acid030220 oncology & carcinogenesisMolecular Medicineα-linolenic acidN2a cellsArticlelcsh:QD241-44103 medical and health sciencesresveratrol.lcsh:Organic chemistryCell Line TumorMediterranean dietFatty Acids Omega-3medicineAnimalsPropidium iodidePhysical and Theoretical Chemistry7-ketocholesterol030304 developmental biologyapigeninReactive oxygen speciesOrganic ChemistryNeurotoxicityPolyphenolsmedicine.diseaseOleic acidoleic acidchemistryReactive Oxygen SpeciesOxidative stressMolecules
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Instrumental Odour Monitoring System Classification Performance Optimization by Analysis of Different Pattern-Recognition and Feature Extraction Tech…

2020

Instrumental odour monitoring systems (IOMS) are intelligent electronic sensing tools for which the primary application is the generation of odour metrics that are indicators of odour as perceived by human observers. The quality of the odour sensor signal, the mathematical treatment of the acquired data, and the validation of the correlation of the odour metric are key topics to control in order to ensure a robust and reliable measurement. The research presents and discusses the use of different pattern recognition and feature extraction techniques in the elaboration and effectiveness of the odour classification monitoring model (OCMM). The effect of the rise, intermediate, and peak period …

electronic noselinear discriminant analysisComputer sciencemedia_common.quotation_subjectFeature extraction02 engineering and technologydata extractionlcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical ChemistryHumansQuality (business)lcsh:TP1-1185Electrical and Electronic Engineeringodour classification monitoring modelInstrumentationmedia_commonElectronic noseArtificial neural networkbusiness.industry010401 analytical chemistryPattern recognition021001 nanoscience & nanotechnologyLinear discriminant analysisAtomic and Molecular Physics and Optics0104 chemical sciencesPattern recognition (psychology)OdorantsMetric (unit)Artificial intelligenceNeural Networks ComputerArtificial neural network; Data extraction; Electronic nose; Linear discriminant analysis; Odour classification monitoring modelElectronics0210 nano-technologybusinessAlgorithmsartificial neural networkEnvironmental MonitoringSensors
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Machine learning analysis of e-nose signal in early detection of mold contamination in buildings

2017

Grzyb rozwijający się na ścianach budynków jest głównym powodem zjawiska, które nazwano Syndromem Chorego Budynku. Wolne związki organiczne emitowane przez grzyby mogą być wykryte różnymi metodami, m.in. na podstawie chromatografii, ale także za pomocą matryc czujników gazowych. Wszystkie tego typu narzędzia generują sygnały elektryczne, które można analizować za pomocą odpowiednich technik statystycznych. Praca skupia się na zastosowaniu nadzorowanych i nienadzorowanych technik uczenia maszynowego w ocenie sygnału pochodzącego z elektronicznego nosa.

electronic nosemould contaminationmultidimensional scalingklasyfikacjaclassificationconfusion matrixmacierz błędnych klasyfikacjielektroniczny nosskalowanie wielowymiaroweporażenie grzybemProceedings of ECOpole
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Odorant-binding protein-based optoelectronic tongue and nose for sensing volatile organic compounds

2019

International audience; We developed an array of odorant-binding protein mutants with various binding properties. The same design is suitable for the detection and identification of volatile organic compounds (VOCs) both in the liquid phase and in the gas phase by surface plasmon resonance imaging. The obtained optoelectronic tongue is highly selective at low concentrations of VOCs with a low detection limit, but a narrow linear range. In comparison, the optoelectronic nose gives a much higher signal to noise ratio, but the discrimination of VOCs from different chemical classes requires kinetic data to get rid of non-specific signals. This work shows that these optoelectronic tongue and nos…

electronic nosevolatile organic compoundMaterials scienceElectronic tongueodorant-binding proteins02 engineering and technologyelectronic tongue01 natural sciences[CHIM.ANAL]Chemical Sciences/Analytical chemistrySurface plasmon resonance imaging[CHIM]Chemical SciencesVolatile organic compoundComputingMilieux_MISCELLANEOUSchemistry.chemical_classificationDetection limitElectronic nosebiologybusiness.industry[CHIM.ORGA]Chemical Sciences/Organic chemistry010401 analytical chemistryBinding properties[CHIM.ORGA] Chemical Sciences/Organic chemistry021001 nanoscience & nanotechnology0104 chemical sciences[SDV.AEN] Life Sciences [q-bio]/Food and NutritionchemistryLinear rangeOdorant-binding proteinbiology.proteinOptoelectronicssurface plasmon resonance imaging0210 nano-technologybusiness[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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