Search results for "85"

showing 10 items of 1612 documents

Epistemic network analyses of economics students' graph understanding. An eye-tracking study

2020

Learning to solve graph tasks is one of the key prerequisites of acquiring domain-specific knowledge in most study domains. Analyses of graph understanding often use eye-tracking and focus on analyzing how much time students spend gazing at particular areas of a graph&mdash

graph understandinglcsh:Chemical technologyBiochemistryAnalytical ChemistryPhysikGermanyEmpirische Bildungsforschunglcsh:TP1-1185Male studentVerstehenEye-Tracking TechnologyInstrumentation05 social sciences050301 educationWirtschaftswissenschaftenAtomic and Molecular Physics and OpticsTextual informationDatenanalysehigher educationGraph (abstract data type)AugenbewegungStudentNetwork analysisErziehung Schul- und BildungswesenBewegungsanalyseNetzwerkanalyseEpistemology050105 experimental psychologyArticleEducationddc:370ddc:330HumansLearning0501 psychology and cognitive sciencesElectrical and Electronic EngineeringStudentsDeutschlandeye-trackingDiagramHochschuleNetwork dataErkenntnistheorieHigher education instituteeconomicsGazeEpistemologyEye movementsepistemic network analysisDiagrammEye trackingErkenntnisddc:0040503 educationDiagrams
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The Application of Supercritical Fluids Technology to Recover Healthy Valuable Compounds from Marine and Agricultural Food Processing By-Products: A …

2021

Food by-products contain a remarkable source of bioactive molecules with many benefits for humans; therefore, their exploitation can be an excellent opportunity for the food sector. Moreover, the revalorization of these by-products to produce value-added compounds is considered pivotal for sustainable growth based on a circular economy. Traditional extraction technologies have several drawbacks mainly related to the consumption of hazardous organic solvents, and the high temperatures maintained for long extraction periods which cause the degradation of thermolabile compounds as well as a low extraction efficiency of desired compounds. In this context, supercritical fluid extraction (SFE) ha…

green extractionBioengineeringContext (language use)02 engineering and technologylcsh:Chemical technology7. Clean energy12. Responsible consumptionlcsh:Chemistry0404 agricultural biotechnologyHazardous wastehealth effectsChemical Engineering (miscellaneous)active compoundslcsh:TP1-11852. Zero hungerbusiness.industryProcess Chemistry and TechnologyCircular economyExtraction (chemistry)Supercritical fluid extraction04 agricultural and veterinary sciences021001 nanoscience & nanotechnology040401 food scienceSupercritical fluid3308.07 Eliminación de Residuoslcsh:QD1-99913. Climate actionAgricultureFood processingEnvironmental scienceBiochemical engineeringsupercritical fluid extraction0210 nano-technologybusinessagro-industrial by-products3303.03 Procesos Químicos3302.90 Ingeniería BioquímicaProcesses
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Description of movement sensor dataset for dog behavior classification

2022

The description and results of the original investigation are found in: Dog behaviour classification with movement sensors placed on the harness and the collar, Kumpulainen, P., Valldeoriola Cardó, A., Somppi, S., Törnqvist, H., Väätäjä, H., Majaranta, P., Gizatdinova, Y., Antink, C. H., Surakka, V., V. Kujala, M., Vainio, O. & Vehkaoja, A., Aug 2021, In: Applied Animal Behaviour Science. 241, 7 p., 105393. Movement sensor data from seven static and dynamic dog behaviors (sitting, standing, lying down, trotting, walking, playing, and (treat) searching i.e. sniffing) was collected from 45 middle to large sized dogs with six degree-of-freedom movement sensors attached to the collar and the ha…

gyroscopeScience (General)Computer applications to medicine. Medical informaticsR858-859.7behavior classificationliikkeenkaappaus413 Veterinary scienceeläinten käyttäytyminenkoiradog activity classificationQ1-390mittauslaitteetMachine learningDog activity classificationData Articleluokitus (toiminta)MultidisciplinaryMovement sensor113 Computer and information sciencesGyroscopeAccelerometermovement sensoraccelerometermachine learningkoneoppiminenBehavior classificationData in Brief
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Is Leader Developing Behavior related to Employees' Health Complaints? A Multilevel Investigation

2020

The goals of this study were to ascertain whether a specific leadership behavior (developing subordinates) is related to employees' health complaints and determine some of the underlying mechanisms involved. The hypothesized relationships were investigated in a sample composed of 538 employees working in 170 work-units of a public regional health service. Multilevel structural equation modeling was used to estimate the hypothesized relationships at the individual and work-unit levels. Results obtained at the individual level showed, as expected, that leader developing behavior was negatively related to employees' health complaints through two mediators: organizational commitment and emotion…

health complaintsLideratgelcsh:Psychologyjd-r theorylcsh:BF1-990lcsh:Industrial psychologySalut en el treballleadership behaviorlcsh:HF5548.7-5548.85
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Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary …

2023

Funder: British Lung Foundation (BLF); doi: https://doi.org/10.13039/501100000351

hengityselimetgenome-wide association studiesperimä/631/208/205/2138/45/43articlekeuhkosairaudethengityselinten tauditriskitekijät/692/699/1785keuhkotperinnöllisyysrespiratory tract diseases
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Scientific opinion on an application by Dow AgroSciences LLC (EFSA-GMO-NL-2012-106) for the placing on the market of genetically modified herbicide-t…

2017

Abstract Soybean DAS‐44406‐6 expresses 5‐enolpyruvyl‐shikimate‐3‐phosphate synthase (2mEPSPS), conferring tolerance to glyphosate‐based herbicides, aryloxyalkanoate dioxygenase (AAD‐12), conferring tolerance to 2,4‐dichlorophenoxyacetic acid (2,4‐D) and other related phenoxy herbicides, and phosphinothricin acetyl transferase (PAT), conferring tolerance to glufosinate ammonium‐based herbicides. The molecular characterisation data and bioinformatics analyses did not identify issues requiring assessment for food/feed safety. The agronomic and phenotypic characteristics revealed no relevant differences between soybean DAS‐44406‐6 and its conventional counterpart, except for pod count, seed cou…

herbicide toleranceVeterinary (miscellaneous)Plant ScienceTP1-1185010501 environmental sciences01 natural sciencesMicrobiology0404 agricultural biotechnologyRegulation 1829/2003TX341-6410105 earth and related environmental sciencesNutrition. Foods and food supplyChemical technologyfungifood and beverages04 agricultural and veterinary sciencesDAS‐44406‐6040401 food sciencesoybean (Glycine max cv. Maverick)Scientific OpinionSettore AGR/11 - Entomologia Generale E ApplicataAnimal Science and ZoologyParasitologyAAD‐122mEPSPSPATFood Science2mEPSPS; AAD‐12; DAS‐44406‐6; PAT; Regulation 1829/2003; herbicide tolerance; soybean (Glycine max cv. Maverick)
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Practices in research, surveillance and control of neglected tropical diseases by One Health approaches: A survey targeting scientists from French-sp…

2021

One health (OH) approaches have increasingly been used in the last decade in the fight against zoonotic neglected tropical diseases (NTDs). However, descriptions of such collaborations between the human, animal and environmental health sectors are still limited for French-speaking tropical countries. The objective of the current survey was to explore the diversity of OH experiences applied to research, surveillance and control of NTDs by scientists from French-speaking countries, and discuss their constraints and benefits. Six zoonotic NTDs were targeted: echinococcoses, trypanosomiases, leishmaniases, rabies, Taenia solium cysticercosis and leptospiroses. Invitations to fill in an online q…

http://aims.fao.org/aos/agrovoc/c_8081RC955-962Psychological interventionSocial Scienceshttp://aims.fao.org/aos/agrovoc/c_431Computer-assisted web interviewingPolitical Aspects of HealthGlobal HealthSanté publique0302 clinical medicineMedical ConditionsArctic medicine. Tropical medicineSurveys and QuestionnairesPublic and Occupational Healthhttp://aims.fao.org/aos/agrovoc/c_6970media_commonMammalsSanté animaleNeglected DiseasesEukaryota3. Good healthÉpidémiologie[SDV] Life Sciences [q-bio]http://aims.fao.org/aos/agrovoc/c_1790medicine.drug_formulation_ingredientOne Healthhttp://aims.fao.org/aos/agrovoc/c_2085Veterinary Diseases[SDE]Environmental SciencesPublic aspects of medicinehttp://aims.fao.org/aos/agrovoc/c_4027http://aims.fao.org/aos/agrovoc/c_8068http://aims.fao.org/aos/agrovoc/c_8500medicine.medical_specialtyRabiesmedia_common.quotation_subjectPolitical ScienceLeptospiroseRage03 medical and health sciencesPolitical scienceTaenia soliumhttp://aims.fao.org/aos/agrovoc/c_3081HumansSurveillance épidémiologiquehttp://aims.fao.org/aos/agrovoc/c_8530Survey ResearchPublic Health Environmental and Occupational HealthOrganismsBiology and Life SciencesTropical Diseaseshttp://aims.fao.org/aos/agrovoc/c_7558http://aims.fao.org/aos/agrovoc/c_6349http://aims.fao.org/aos/agrovoc/c_4281Veterinary ScienceDiversity (politics)[SDE] Environmental SciencesViral DiseasesBiomedical Researchhttp://aims.fao.org/aos/agrovoc/c_2615[SDV]Life Sciences [q-bio]http://aims.fao.org/aos/agrovoc/c_870SurveysL73 - Maladies des animauxhttp://aims.fao.org/aos/agrovoc/c_875http://aims.fao.org/aos/agrovoc/c_16411http://aims.fao.org/aos/agrovoc/c_7988http://aims.fao.org/aos/agrovoc/c_6416ZoonosesTrypanosomoseMedicine and Health Sciences030212 general & internal medicinehttp://aims.fao.org/aos/agrovoc/c_3423http://aims.fao.org/aos/agrovoc/c_5164http://aims.fao.org/aos/agrovoc/c_4510http://aims.fao.org/aos/agrovoc/c_16415EchinococcoseInfectious DiseasesResearch DesignS50 - Santé humaineVertebrateshttp://aims.fao.org/aos/agrovoc/c_7979Neglected tropical diseasesRA1-1270Zone tropicaleResearch ArticleNeglected Tropical Diseaseszoonosehttp://aims.fao.org/aos/agrovoc/c_28665030231 tropical medicineMEDLINEResearch and Analysis Methodshttp://aims.fao.org/aos/agrovoc/c_259http://aims.fao.org/aos/agrovoc/c_35197DogsEnvironmental healthTropical MedicinemedicineLeishmanioseAnimalsCysticercosehttp://aims.fao.org/aos/agrovoc/c_5181Enquête pathologique[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieTropical medicineAmniotes[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieZoology
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Co-reductive fabrication of carbon nanodots with high quantum yield for bioimaging of bacteria

2018

A simple and straightforward synthetic approach for carbon nanodots (C-dots) is proposed. The strategy is based on a one-step hydrothermal chemical reduction with thiourea and urea, leading to high quantum yield C-dots. The obtained C-dots are well-dispersed with a uniform size and a graphite-like structure. A synergistic reduction mechanism was investigated using Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy. The findings show that using both thiourea and urea during the one-pot synthesis enhances the luminescence of the generated C-dots. Moreover, the prepared C-dots have a high distribution of functional groups on their surface. In this work, C-dots proved …

hydrothermalMaterials scienceGeneral Physics and AstronomyQuantum yield02 engineering and technologylcsh:Chemical technologyCarbon nanodots010402 general chemistrylcsh:Technology01 natural sciencesFull Research PaperHydrothermal circulationNanomaterialschemistry.chemical_compoundX-ray photoelectron spectroscopyNanotechnologylcsh:TP1-1185General Materials Sciencecarbon nanodotsbioimagingElectrical and Electronic EngineeringFourier transform infrared spectroscopylcsh:Sciencecollaborative reductionlcsh:TCondensed Matter::Mesoscopic Systems and Quantum Hall Effect021001 nanoscience & nanotechnologyBioimagingHydrothermallcsh:QC1-9990104 chemical sciencesNanoscienceChemical engineeringThioureachemistrySettore CHIM/09 - Farmaceutico Tecnologico ApplicativoCollaborative reductionUrealcsh:Q0210 nano-technologyLuminescencelcsh:PhysicsBeilstein Journal of Nanotechnology
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The classification of submerged vegetation using hyperspectral MIVIS data

2009

The aim of this research is to use hyperspectral MIVIS data to map the Posidonia oceanica prairies in a coastal lagoon (Stagnone di Marsala). It is approximately 12 km long and 2 km wide and is linked to the open sea by two shallow openings. This environment is characterised by prairies of phanerogams, the most common of which is Posidonia oceanica, an ideal habitat for numerous species of fish, molluscs and crustaceans. A knowledge of the distribution of submerged vegetation is useful to monitor the health of the lagoon. In order to classify the MIVIS imagery, the attenuation effects of the water column have been removed from the signal using Lyzenga’s technique. A comparison between class…

hyperspectral imagerSpectrometerbiologylcsh:QC801-809shallow watersubmerged vegetationHyperspectral imagingVegetationlcsh:QC851-999biology.organism_classificationwater column correctionWaves and shallow waterlcsh:Geophysics. Cosmic physicsGeophysicsWater columnhyperspectral imageryHabitatHomogeneousPosidonia oceanicaEnvironmental sciencelcsh:Meteorology. ClimatologyRemote sensingAnnals of Geophysics
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A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python

2021

Commercial hyperspectral imagers (HSIs) are expensive and thus unobtainable for large audiences or research groups with low funding. In this study, we used an existing do-it-yourself push-broom HSI design for which we provide software to correct for spectral smile aberration without using an optical laboratory. The software also corrects an aberration which we call tilt. The tilt is specific for the particular imager design used, but correcting it may be beneficial for other similar devices. The tilt and spectral smile were reduced to zero in terms of used metrics. The software artifact is available as an open-source Github repository. We also present improved casing for the imager design, …

hyperspectral imagerspektrikuvaustietokoneohjelmatComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONdo it yourselflcsh:Chemical technologyoptical aberrationaberration correctionArticlespectral smileavoin lähdekoodioptiset laitteettutkimusvälineetlcsh:TP1-1185open-sourceSensors
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