Search results for "Difference"

showing 10 items of 1534 documents

Age of peak performance in elite male and female Ironman triathletes competing in Ironman Switzerland, a qualifier for the Ironman world championship…

2013

Christoph Alexander Rüst,1 Beat Knechtle,1,2 Patrizia Knechtle,2 Thomas Rosemann,1 Romuald Lepers31Institute of General Practice and for Health Services Research, University of Zurich, 2Gesundheitszentrum St Gallen, St Gallen, Switzerland; 3INSERM U1093, Faculty of Sport Sciences, University of Burgundy, Dijon, FranceBackground: The age of peak performance in elite endurance athletes has been investigated for elite marathoners, but not for elite Ironman triathletes. The aim of this study was to analyze the age of peak performance in swimming (3.8 km), cycling (180 km), running (42 km), and overall race time for elite female and male Ironman triathletes competing in Ironman Switzerl…

11035 Institute of General PracticecyclingVeterinary medicinebiologyAthletes610 Medicine & healthbiology.organism_classificationultraendurancegender differenceEliterunningWorld championshipswimmingPsychologyhuman activitiesOpen Access Journal of Sports MedicineOriginal ResearchDemographyOpen Access Journal of Sports Medicine
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Gender differences in wheelchair marathon performance – Oita International Wheelchair Marathon from 1983 to 2011

2012

Romuald Lepers,1 Paul J Stapley,2 Beat Knechtle3,41INSERM U1093, University of Burgundy, Dijon, France; 2School of Health Sciences, University of Wollongong, Wollongong, New South Wales, Australia; 3Institute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland; 4Gesundheitszentrum St Gallen, St Gallen, SwitzerlandBackground: The purpose of the study was (1) to examine the changes in participation and performance of males and females at the Oita International Wheelchair Marathon in Oita, Japan, between 1983 and 2011, and (2) to analyze the gender difference in the age of peak wheelchair marathon performance.Methods: Age and time performance data for al…

11035 Institute of General Practiceendurancemedicine.medical_specialtybiologyAthletesbusiness.industrysex difference610 Medicine & healthMean agedisabled athletebiology.organism_classificationspinal cord injuryWheelchairPhysical therapymedicinebusinessOpen Access Journal of Sports Medicinehuman activitiesOriginal ResearchOpen Access Journal of Sports Medicine
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Participation and performance trends in ultracycling

2013

Mohannad Abou Shoak,1 Beat Knechtle,1,2 Patrizia Knechtle,2 Christoph Alexander Rüst,1 Thomas Rosemann,1 Romuald Lepers31Institute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland; 2Gesundheitszentrum St Gallen, St Gallen, Switzerland; 3INSERM U1093, Faculty of Sport Sciences, University of Burgundy, Dijon, FranceBackground: Participation and performance trends have been investigated in ultramarathons and ultratriathlons but not in ultracycling. The aim of the present study was to investigate (1) participation and performance trends in ultraendurance cyclists, (2) changes in cycling speed over the years, and (3) the age of the fastest male…

11035 Institute of General PracticefinishercyclingFuture studiesmaster athletebusiness.industryMean age610 Medicine & healthspeedultraenduranceAnimal sciencegender differenceMedicinelcsh:Sports medicineCyclingbusinesslcsh:RC1200-1245Open Access Journal of Sports MedicineOriginal ResearchOpen Access Journal of Sports Medicine
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Relationship between age and elite marathon race time in world single age records from 5 to 93 years

2013

International audience; Background:The aims of the study were (i) to investigate the relationship between elite marathon race times andage in 1-year intervals by using the world single age records in marathon running from 5 to 93 years and (ii)toevaluate the sex difference in elite marathon running performance with advancing age.Methods:World single age records in marathon running in 1-year intervals for women and men were analysedregarding changes across age for both men and women using linear and non-linear regression analyses for eachage for women and men.Results:The relationship between elite marathon race time and age was non-linear (i.e.polynomial regression 4thdegree) for women and m…

11035 Institute of General Practicemedicine.medical_specialtySports medicinePerformanceMarathon runningGirls610 Medicine & healthPhysical Therapy Sports Therapy and RehabilitationRunningRace (biology)Master runner2732 Orthopedics and Sports MedicineMedicineOrthopedics and Sports Medicine3612 Physical Therapy Sports Therapy and RehabilitationBoysbusiness.industryRehabilitation[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologieSex difference2742 Rehabilitation[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieElitebusinesshuman activitiesDemographyResearch ArticleBMC Sports Science, Medicine and Rehabilitation
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Analysis of participation and performance in athletes by age group in ultramarathons of more than 200 km in length

2013

Matthias Zingg,1 Beat Knechtle,1,2 Christoph A Rüst,1 Thomas Rosemann,1 Romuald Lepers3 1Institute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland; 2Gesundheitszentrum St Gallen, St Gallen, Switzerland; 3INSERM U1093, Faculty of Sport Sciences, University of Burgundy, Dijon, France Background: Participation and performance trends for athletes by age group have been investigated for marathoners and ultramarathoners competing in races up to 161 km, but not for longer distances of more than 200 km. Methods: Participation and performance trends in athletes by age group in the Badwater (217 km) and Spartathlon (246 km) races were compared from…

11035 Institute of General Practiceultra-endurancebiologybusiness.industryAthletessex differencerunning speed610 Medicine & healthInternational Journal of General MedicineGeneral Medicine2700 General Medicinebiology.organism_classificationmaster runnerAge groupsMedicinebusinessUltra enduranceDemographyOriginal ResearchInternational Journal of General Medicine
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Age and sex interactions in mountain ultramarathon running - the Swiss Alpine Marathon.

2012

Evelyn Eichenberger,1 Beat Knechtle,1,2 Christoph Alexander Rüst,1 Thomas Rosemann,1 Romuald Lepers31Institute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland; 2Gesundheitszentrum St Gallen, St Gallen, Switzerland; 3INSERM U1093, Faculty of Sport Sciences, University of Burgundy, Dijon, FranceBackground: The aims of the study were to examine the (a) participation, (b) difference in running times between the sexes, and (c) age-related decline in the running times of ultramarathoner women and men competing in the Swiss Alpine Marathon from 1998 to 2011.Methods: The ultramarathoners competing in the Swiss Alpine Marathon were analyzed in ter…

11035 Institute of General Practiceultra-endurancebusiness.industrysex differenceaging610 Medicine & healthAge and sexAltituderunningMedicinebusinessOpen Access Journal of Sports MedicineUltra enduranceDemographyOriginal ResearchOpen access journal of sports medicine
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Comparison between SMOS Vegetation Optical Depth products and MODIS vegetation indices over crop zones of the USA

2014

The Soil Moisture and Ocean Salinity (SMOS) mission provides multi-angular, dual-polarised brightness temperatures at 1.4 GHz, from which global soil moisture and vegetation optical depth (tau) products are retrieved. This paper presents a study of SMOS' tau product in 2010 and 2011 for crop zones of the USA. Retrieved tau values for 504 crop nodes were compared to optical/IR vegetation indices from the MODES (Moderate Resolution Imaging Spectroradiometer) satellite sensor, including the Normalised Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVE), Leaf Area Index (LAI), and a Normalised Difference Water Index (NOW!) product. tau values were observed to increase during the…

2. Zero hunger010504 meteorology & atmospheric sciences0211 other engineering and technologiesSoil ScienceGrowing seasonGeology02 engineering and technologyVegetationEnhanced vegetation index01 natural sciencesNormalized Difference Vegetation Indexvegetation optical depthLinear regressionEnvironmental scienceL-band radiometryModerate-resolution imaging spectroradiometerComputers in Earth SciencesLeaf area indexoptical vegetation indices[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingWater contentSMOS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data

2008

Abstract The derivation of leaf area index (LAI) from satellite optical data has been the subject of a large amount of work. In contrast, few papers have addressed the effective model inversion of high resolution satellite images for a complete series of data for the various crop species in a given region. The present study is focused on the assessment of a LAI model inversion approach applied to multitemporal optical data, over an agricultural region having various crop types with different crop calendars. Both the inversion approach and data sources are chosen because of their wide use. Crops in the study region (Barrax, Castilla–La Mancha, Spain) include: cereal, corn, alfalfa, sugar bee…

2. Zero hunger010504 meteorology & atmospheric sciencesPhenology0211 other engineering and technologiesSoil ScienceInverse transform samplingGeologyInversion (meteorology)02 engineering and technology15. Life on land01 natural sciencesNormalized Difference Vegetation IndexCropEnvironmental sciencePlant coverComputers in Earth SciencesLeaf area indexEmpirical relationship021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Sentinel-1 & Sentinel-2 Data for Soil Tillage Change Detection

2018

In this paper, an algorithm using Sentinel-1 (S-1) and Sentinel-2 (S-2) data to identify changes of tillage over agricultural fields at approximately similar to 100m resolution is presented. The methodology implements a multiscale temporal change detection on S-1 VH backscatter in order to single out VH changes due to agricultural practices only. The algorithm can be applied over bare or scarcely vegetated agricultural fields, which are identified from S-2 NDVI measurements. An initial assessment at farm scale using in situ and S-1 and SPOT5-Take5 data, acquired over the Apulian Tavoliere in southern Italy in 2015, is illustrated. A full validation of the approach is in progress over three …

2. Zero hunger010504 meteorology & atmospheric sciencessoil tillage change identificationbusiness.industry04 agricultural and veterinary sciencesSoil tillage01 natural sciencesNormalized Difference Vegetation IndexTillageAgriculture040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSentinel-1Temporal changePhysical geographyTime seriesSentinel-2Scale (map)businessChange detection0105 earth and related environmental sciencesIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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An agent-based model of a cutaneous leishmaniasis reservoir host, Meriones shawi

2021

International audience; Meriones shawi (M.shawi) is the main reservoir host for zoonotic cutaneous leishmaniasis (ZCL) in Central Tunisia. The incorporation of environmental and climatic effects on the spread of ZCL in M. shawi remains difficult. This study presents an agent-based model (ABM) to overcome these difficulties and examine the impact of environment (i.e. vegetation cover) and climate (i.e. temperature) on M. shawi movement and prevalence. The model simulation considers two agent types: rodent agent and field unit agent. We tested the model according to two types of rodent movement: random and thoughtful. We integrated time dependent normalized difference vegetation index (NDVI) …

2. Zero hunger0106 biological sciencesAgent-based model[SDV.EE]Life Sciences [q-bio]/Ecology environmentMeriones shawibiologyEcology010604 marine biology & hydrobiologyEcological ModelingLand covermedicine.diseasebiology.organism_classification010603 evolutionary biology01 natural sciencesNormalized Difference Vegetation IndexVegetation coverCutaneous leishmaniasis13. Climate actionModel simulationmedicineZoonotic cutaneous leishmaniasis[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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