Search results for "STATISTICS"

showing 10 items of 7671 documents

Extension rapide de l'aire de répartition de Dikerogammarus villosus (Crustacé, Amphipode) en France : Causes et conséquences

2003

International audience

[SDV.EE]Life Sciences [q-bio]/Ecology environment[STAT]Statistics [stat][SDV.EE] Life Sciences [q-bio]/Ecology environment[SDV.TOX.ECO] Life Sciences [q-bio]/Toxicology/Ecotoxicology[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems[SDV.EE.ECO] Life Sciences [q-bio]/Ecology environment/Ecosystems[SDV.TOX.ECO]Life Sciences [q-bio]/Toxicology/EcotoxicologyComputingMilieux_MISCELLANEOUS[STAT] Statistics [stat]
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Terahertz Biomedical Imaging: From Multivariate Analysis and Detection to Material Parameter Extraction

2017

Terahertz imaging is an interesting route for biomedical analysis. In particular, cancer imaging is a subject of study for different teams [1,2]. A work is done in Bordeaux in partnership with a hospital to do terahertz analysis of breast tissue. This work is done in reflection with time domain imaging setup with fresh samples. The aim is to accurately assess tumor margins and which could in the future allow a quick validation of the precision of the surgical procedure and know if new surgery should be performed. We have presented in a previous paper [3] the use of automatic methods of image generation with different parameters [4] in order to explore the different contrasts that exist in t…

[SDV.MHEP.AHA] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]Multivariate statisticsMultivariate analysis[SPI.OPTI] Engineering Sciences [physics]/Optics / PhotonicTerahertz radiationComputer science[SDV.CAN]Life Sciences [q-bio]/Cancer01 natural sciences010309 optics[SDV.CAN] Life Sciences [q-bio]/CancerComponent analysis0103 physical sciencesMedical imagingElectronic engineering[SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]Entropy (information theory)Time domainComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry0402 animal and dairy sciencePattern recognition04 agricultural and veterinary sciences040201 dairy & animal science3. Good healthFrequency domain[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Factors of good visual outcome in acute post-cataract endophthalmitis (friends group)

2009

International audience; Purpose: To analyze initial clinical factors of good visual outcome in patients with acute endophthalmitis following cataract surgery. Methods: A prospective study was performed in 4 University hospital (Dijon, Grenoble, Lyon, Saint-Etienne, FRIENDS group) on 100 patients with acute post-cataract endophthalmitis. Factors related to cataract surgery (complications), the initial presentation and the microbiological identification were analyzed according to the final visual outcome using univariate and multivariate analysis (SPSS 12.0). Results: 46% out of the patients had a final visual acuity less than or equal to 0.3 logMar (good visual outcome) at 6 months while 10%…

[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologygenetic structuresendophthalmitis[SDV.MHEP.OS] Life Sciences [q-bio]/Human health and pathology/Sensory Organs[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organsclinical (human) or epidemiologic studies: biostatistics/epidemiology methodologyperception[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyeye diseases
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A priori parameterisation of the CERES soil-crop models and tests against several European data sets

2002

Mechanistic soil-crop models have become indispensable tools to investigate the effect of management practices on the productivity or environmental impacts of arable crops. Ideally these models may claim to be universally applicable because they simulate the major processes governing the fate of inputs such as fertiliser nitrogen or pesticides. However, because they deal with complex systems and uncertain phenomena, site-specific calibration is usually a prerequisite to ensure their predictions are realistic. This statement implies that some experimental knowledge on the system to be simulated should be available prior to any modelling attempt, and raises a tremendous limitation to practica…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences010504 meteorology & atmospheric sciencesMean squared errorCalibration (statistics)Nitrogen en l'agriculturaExtrapolationExtrapolation01 natural sciencesWater balanceStatisticsWater contentWater balanceExtrapolation; Nitrogen dynamics; Soil-crop modelsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences2. Zero hunger[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesObservational errorEcologySoil organic matter04 agricultural and veterinary sciencesBILAN AZOTENitrogen dynamics15. Life on landSoil-crop modelsSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceAgronomy and Crop Scienceconreu
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Le nombre de sujets dans les panels d'analyse sensorielle : une approche base de données

2012

The costs associated with sensory evaluation increase with the number of panelists to be enrolled. Classical power computation can be used to derive the minimal number of subjects of a sensory panel in order to control both type I (α risk) and type II (β risk) errors. However, this power computation requires estimates of the size of the product effect to be sought and of the residual variability of the ANOVA model used. Generally, both product effect size and residual variability are difficult to estimate a priori by the sensory analyst. This work offers estimations of these two parameters thanks to the analysis of hundreds descriptive andhedonic studies collected respectively in two databa…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesSensory evaluation[SDV.SA] Life Sciences [q-bio]/Agricultural sciences[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM][SHS.PSY]Humanities and Social Sciences/Psychology[MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM][SHS.PSY] Humanities and Social Sciences/Psychology[ SHS.PSY ] Humanities and Social Sciences/Psychology[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM][MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Analyse sensoriellePanel[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST][MATH.MATH-ST] Mathematics [math]/Statistics [math.ST][ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences
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A comparison of salt perception and acceptance of salt reduced food among children and adults

2014

International audience

[SDV] Life Sciences [q-bio][STAT]Statistics [stat][SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV]Life Sciences [q-bio][SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS[STAT] Statistics [stat]
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Relative age effect among French swimmers

2022

L'objectif de cette étude était de révéler la présence de l'effet de l'âge relatif parmi les nageurs Français et de proposer une méthode de rééquilibrage afin de mieux apprécier le potentiel de l'athlète en fonction de sa catégorie et de sa discipline. 62 610 nageurs entre 10 et 16 ans sur la discipline du 100m nage libre en bassin de 50m sont considérés pour cette étude. Parmi eux, moins d'un nageur sur cinq entre 13 et 16 ans est né dans le dernier trimestre de l'année. Pour éviter l'abandon ou la perte de vue des nageurs, nous avons mis en place une méthode de rééquilibrage basée sur la performance du nageur, son âge exact au moment de la compétition et le coefficient de régression entre…

[SDV] Life Sciences [q-bio]natationAge relatif[SHS.STAT] Humanities and Social Sciences/Methods and statisticsswimmingtalent identificationrebalancing methoddétectionméthodes de rééquilibrage
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Approche multi-critère pour la caractérisation des adventices

2022

The objective of this thesis is to develop a way to detect weeds in a field using multispectral images, in order to determine which weeds should be eliminated during the current crop cycle and more particularly at the early stages. The multi-criteria approach focuses on the spatial arrangement, the spec- tral signature, the morphology and the tex- ture of the plants located in the plots. This work proposes a method for selecting the best criteria for optimal discrimination for a given setup. Prior to the extraction of these crite- ria, a set of methods was developed in order to correct the errors of the acquisition de- vice, to precisely detect the vegetation and then to identify within the…

[SDV] Life Sciences [q-bio]precision agricultureintelligence artificiellestatistiquesimage analysisstatisticsvision par ordinateuranalyse d’imageprédictionpredictionagriculture de précisionartificial intelligencecomputer vision
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L’Église Saint-Pierre de Thaon (Calvados) : premières approches archéologiques et anthropologiques

2008

National audience

[SHS.ANTHRO-SE] Humanities and Social Sciences/Social Anthropology and ethnology[SHS.ARCHI]Humanities and Social Sciences/Architecture space management[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.DEMO] Humanities and Social Sciences/Demography[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.HIST ] Humanities and Social Sciences/History[SHS.ANTHRO-BIO]Humanities and Social Sciences/Biological anthropology[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnology[SHS.DEMO]Humanities and Social Sciences/Demography[SHS.ANTHRO-BIO] Humanities and Social Sciences/Biological anthropology[ SHS.ARCHI ] Humanities and Social Sciences/Architecture space management[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnology[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SHS.HIST] Humanities and Social Sciences/History[ SHS.ANTHRO-BIO ] Humanities and Social Sciences/Biological anthropology[SHS.STAT] Humanities and Social Sciences/Methods and statistics[SHS.ARCHI] Humanities and Social Sciences/Architecture space management[SHS.HIST]Humanities and Social Sciences/History[ SHS.DEMO ] Humanities and Social Sciences/Demography[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsComputingMilieux_MISCELLANEOUS
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A history of sanitary quality of wines. Medical Expertise, Hygienism and Oenological Practices (late XIXe century –XXe century)

2018

International audience

[SHS.ANTHRO-SE] Humanities and Social Sciences/Social Anthropology and ethnology[SHS.SOCIO]Humanities and Social Sciences/Sociology[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.SOCIO] Humanities and Social Sciences/Sociology[SHS.EDU]Humanities and Social Sciences/Education[SHS.GEO] Humanities and Social Sciences/Geography[SHS.ANTHRO-BIO]Humanities and Social Sciences/Biological anthropology[SHS.EDU] Humanities and Social Sciences/Education[SHS.GEO]Humanities and Social Sciences/Geography[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnology[SHS.ANTHRO-BIO] Humanities and Social Sciences/Biological anthropology[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of Sciences[SHS.HISPHILSO] Humanities and Social Sciences/History Philosophy and Sociology of Sciences[SHS.HIST] Humanities and Social Sciences/History[SHS.STAT] Humanities and Social Sciences/Methods and statistics[SHS.HIST]Humanities and Social Sciences/HistoryComputingMilieux_MISCELLANEOUS
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