Search results for " Ear"
showing 10 items of 9299 documents
Expectations And Mindsets Related To GDPR
2022
The aim of this qualitative case study is to examine the initial expectations and assumptions related to General Data Protection Regulation (GDPR) of the European Union from the perspectives of selected Finnish organizations: what were the initial expectations of GDPR, how were they adapted/refined over time, and what was the impact on organizational planning and resourcing. There are no precise earlier studies on the subject. The research question was: What were the organizations’ initial expectations of GDPR - and how have they affected the efforts made? GDPR can be described as an input that forms images, preconceptions and views among other things, through various active and passive c…
How different policy instruments affect green product innovation : A differentiated perspective
2018
Based on representative firm-level data for the three countries Austria, Germany, and Switzerland, we investigate the effects of energy-related regulations, taxes, voluntary agreements, and subsidies on the creation of green energy products, and analyze through which channels policy affects green product innovation and which factors mediate the observed effects. Policy may affect green product innovation by directly stimulating the supply of green products/services, or more indirectly by stimulating the demand for green products/services. Our data set allows us to distinguish between the two channels, which improves our understanding of the frequently observed positive net effect of policie…
Mapping productivity and essential biophysical parameters of cultivated tropical grasslands from sentinel-2 imagery.
2020
Nitrogen (N) is the main nutrient element that maintains productivity in forages
Sigmund Freud como síntoma
2019
En este artículo, el autor repasa la obra de Sigmund Freud. Desde un punto de vista histórico. ¿Qué es el pasado? ¿Qué es un archivo? Sigmund Freud desarrolló un método para investigar el pasado y la memoria del pasado, para investigar lo sucedido y la memoria de lo sucedido. ¿El trabajo de Sigmund Freud tiene algún interés para los historiadores?
Causality-Aware Convolutional Neural Networks for Advanced Image Classification and Generation
2023
Smart manufacturing uses emerging deep learning models, and particularly Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs), for different industrial diagnostics tasks, e.g., classification, detection, recognition, prediction, synthetic data generation, security, etc., on the basis of image data. In spite of being efficient for these objectives, the majority of current deep learning models lack interpretability and explainability. They can discover features hidden within input data together with their mutual co-occurrence. However, they are weak at discovering and making explicit hidden causalities between the features, which could be the reason behind the parti…
The development of Early Mathematical Skills – A Theoretical Framework for a Holistic Model
2019
This article presents a theoretical framework for a holistic model of the development of early mathematical skills in early childhood education. The first aim of this study was to conduct a comprehensive international review of the literature to explore early mathematical skills categories. The literature review yielded three early mathematical skills categories, namely (1) numerical skills, (2) spatial thinking skills and (3) mathematical thinking and reasoning skills. Previous studies have shown that several mathematical skills develop gradually and simultaneously in early ages and that these skills areas are interconnected in mathematical skills learning. Accordingly, the second aim of t…
Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes
2023
Optical Earth Observation is often limited by weather conditions such as cloudiness. Radar sensors have the potential to overcome these limitations, however, due to the complex radar-surface interaction, the retrieving of crop biophysical variables using this technology remains an open challenge. Aiming to simultaneously benefit from the optical domain background and the all-weather imagery provided by radar systems, we propose a data fusion approach focused on the cross-correlation between radar and optical data streams. To do so, we analyzed several multiple-output Gaussian processes (MOGP) models and their ability to fuse efficiently Sentinel-1 (S1) Radar Vegetation Index (RVI) and Senti…
Durcissement aux radiations de fibres optiques dopées terres rares et d'amplificateurs 'a fibres optiques
2011
National audience; Cette étude vise à comprendre les effets d'une irradiation Ȗ sur les propriétés optiques et structurales des fibres dopées aux Terres Rares en vue de leur utilisation dans des amplificateurs à fibre réalisés pour des applications spatiales. L'enjeu majeur de durcissement de ces composants est abordé via des techniques telles que le chargement en hydrogène et/ou le co-dopage au Cérium du cœur des fibres optiques. L'identification des centres responsables de l'atténuation induite par irradiation et la compréhension des mécanismes de dégradation mis en jeu sont des étapes indispensables au développement de ces fibres.
Prevalencia y factores de desgaste profesional en radiólogos durante la pandemia COVID-19
2022
Antecedentes: La epidemia por coronavirus 2019 (COVID-19) se ha extendido por todo el mundo desde principios de 2020, sometiendo a los profesionales sanitarios a una sobrecarga laboral ya un mayor nivel de estrés físico y emocional. Objetivos: El objetivo de este estudio es determinar la prevalencia de desgaste profesional y sus posibles factores asociados en los radiólogos españoles durante la COVID-19, y su comparación con la situación previa a la pandemia. Métodos: Estudio observacional realizado entre los meses de abril y agosto de 2020 (durante la pandemia) mediante una encuesta en línea. Se obtuvieron un total de 150 respuestas. Se recopiló y comparó la información demográfica y labor…
Determinants of the interannual relationships between remote sensed photosynthetic activity and rainfall in tropical Africa
2007
International audience; The response of photosynthetic activity to interannual rainfall variations in Africa South of the Sahara is examined using 20 years (1981-2000) of Normalised Difference Vegetation Index (NDVI) AVHRR data. Linear correlations and regressions were computed between annual NDVI and annual rainfall at a 0.5° latitude/longitude resolution, based on two gridded precipitation datasets (Climate Prediction Center Merged Analysis of Precipitation [CMAP] and Climatic Research Unit [CRU]). The spatial patterns were then examined to detect how they relate to the mean annual rainfall amounts, land-cover types as from the Global Land Cover 2000 data set, soil properties and soil typ…