Search results for " Ser"

showing 10 items of 5437 documents

HIS911061_Supplemental_Material_CLN – Supplemental material for Exploring User-Related Drivers of the Early Acceptance of Certified Digital Stress Pr…

2020

Supplemental material, HIS911061_Supplemental_Material_CLN for Exploring User-Related Drivers of the Early Acceptance of Certified Digital Stress Prevention Programs in Germany by Jennifer Apolinário-Hagen, Severin Hennemann, Christina Kück, Alexandra Wodner, Dorota Geibel, Marlies Riebschläger, Martin Zeißler and Bernhard Breil in Health Services Insights

111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences
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spub-ri-2017-0209-File004 – Supplemental material for Healthy and sustainable diet and physical activity: the rationale for and experiences from deve…

2018

Supplemental material, spub-ri-2017-0209-File004 for Healthy and sustainable diet and physical activity: the rationale for and experiences from developing a combined summary score by Helga Birgit Bjørnarå, Monica Klungland Torstveit and Elling Bere in Scandinavian Journal of Public Health

111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences
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HFvalidsupplement_210319_SJPH – Supplemental material for The validity of heart failure diagnoses in the Finnish Hospital Discharge Register

2019

Supplemental material, HFvalidsupplement_210319_SJPH for The validity of heart failure diagnoses in the Finnish Hospital Discharge Register by Matti A. Vuori, Jari A. Laukkanen, Arto Pietilä, Aki S. Havulinna, Mika Kähönen, Veikko Salomaa and Teemu J. Niiranen in Scandinavian Journal of Public Health

111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences
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spub-ri-2017-0209-File003 – Supplemental material for Healthy and sustainable diet and physical activity: the rationale for and experiences from deve…

2018

Supplemental material, spub-ri-2017-0209-File003 for Healthy and sustainable diet and physical activity: the rationale for and experiences from developing a combined summary score by Helga Birgit Bjørnarå, Monica Klungland Torstveit and Elling Bere in Scandinavian Journal of Public Health

111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences
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sj-pdf-1-sjp-10.1177_14034948221074974 – Supplemental material for Effects of rehabilitative psychotherapy on labour market success: Evaluation of a …

2022

Supplemental material, sj-pdf-1-sjp-10.1177_14034948221074974 for Effects of rehabilitative psychotherapy on labour market success: Evaluation of a nationwide programme by Laura Peutere, Terhi Ravaska, Petri Bӧckerman, Ari Vӓӓnӓnen and Pekka Virtanen in Scandinavian Journal of Public Health

111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences
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Towards sustainable servicescape : tourists’ perspectives of accommodation service attributes

2023

The study uses content analysis to identify the sustainable attributes in 678 accommodation reviews from Finnish and Russian tourists published on the Tripadvisor website and examines the sustainability perceptions of these tourist groups. The servicescape framework was applied to the structuring of the attributes indicating sustain-ability in accommodation services. The sustainable attributes highlighted in the reviews were more frequently in the physical rather than in the social servicescape factor. The tourists also reported environmental sustainability attributes more often than those related to social, cultural and economic sustainability. Overall, the sustainable attributes were perc…

11832 Microbiology and virologyTourist accommodationtourist accommodationcontent analysisStrategy and Managementtaloudellinen kestävyysTripadvisorsustainable servicescapeperceptionarvostelutkulttuurinen kestävyysmatkailijatmatkailuTourism Leisure and Hospitality Managementmajoitusmatkailupalvelutkäsityksetekologinen kestävyysPerceptionSustainable servicescapekestävä matkailusosiaalinen kestävyysmajoitustoimintaContent analysis
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Crop Phenology Retrieval Through Gaussian Process Regression

2021

Monitoring crop phenology significantly assists agricultural managing practices and plays an important role in crop yield predictions. Multi-temporal satellite-based observations allow analyzing vegetation seasonal dynamics over large areas by using vegetation indices or deriving biophysical variables. This study presents a framework for automatic corn phenology characterization based on high spatial and temporal resolution time series. By using the Difference Vegetation Index (DVI) estimated from Sentinel-2 data over Iowa (US), independent phenological models were optimized using Gaussian Processes regression. Their respective performances were assessed based on simulated phenological indi…

2. Zero hunger010504 meteorology & atmospheric sciencesMean squared errorPhenology0211 other engineering and technologies02 engineering and technologyVegetation15. Life on land01 natural sciencesRegressionsymbols.namesakeKrigingTemporal resolutionStatisticssymbolsTime seriesGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematics2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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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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2018

The increase in the prevalence of obesity worldwide has led to great interest in the economic consequences of obesity, but valid and powerful instruments for obesity, which are needed to estimate its causal effects, are rare. This paper contributes to the literature by using a novel instrument: genetic risk score, which reflects the predisposition to higher body mass index across many genetic loci. We estimate IV models of the effect of BMI on labor market outcomes using Finnish data that have many strengths: genetic information, measured body mass index, and administrative earnings records that are free of the problems associated with nonresponse, self-reporting error or top-coding. The fi…

2. Zero hungerEarnings030503 health policy & servicesHealth Policy05 social sciencesInstrumental variableCausal effectOverweightmedicine.diseaseObesity03 medical and health sciences0502 economics and business8. Economic growthmedicine050207 economicsmedicine.symptomGenetic risk0305 other medical sciencePsychologyBody mass indexEconomic consequencesDemographyHealth Economics
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Interpretability of Recurrent Neural Networks in Remote Sensing

2020

In this work we propose the use of Long Short-Term Memory (LSTM) Recurrent Neural Networks for multivariate time series of satellite data for crop yield estimation. Recurrent nets allow exploiting the temporal dimension efficiently, but interpretability is hampered by the typically overparameterized models. The focus of the study is to understand LSTM models by looking at the hidden units distribution, the impact of increasing network complexity, and the relative importance of the input covariates. We extracted time series of three variables describing the soil-vegetation status in agroe-cosystems -soil moisture, VOD and EVI- from optical and microwave satellites, as well as available in si…

2. Zero hungerMultivariate statisticsNetwork complexity010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologies02 engineering and technology15. Life on landcomputer.software_genre01 natural sciencesRecurrent neural networkDimension (vector space)Redundancy (engineering)Relevance (information retrieval)Data miningTime seriesWater contentcomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesInterpretabilityIGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
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