Search results for " Process"
showing 10 items of 17204 documents
Preface: Environmental benefits of biochar
2014
J. Paz-Ferreiro1, A. Mendez6, A. M. Tarquis3,4, A. Cerda5, and G. Gasco2 1School of Civil, Environmental and Chemical Engineering, RMIT University, GPO Box 2476, Melbourne 3001, VIC, Melbourne, Australia 2Departamento de Produccion Agraria, E.T.S.I. Agronomos, Universidad Politecnica de Madrid, Ciudad Universitaria, 28004 Madrid, Spain 3CEIGRAM, Universidad Politecnica de Madrid, Ciudad Universitaria, 28040 Madrid, Spain 4Departamento de Matematica Aplicada, Universidad Politecnica de Madrid, Ciudad Universitaria, 28040 Madrid, Spain 5Soil Erosion and Degradation Research Group, Department of Geography, University of Valencia, C/Blasco Ibanez 10, 46010 Valencia, Spain 6Departamento de Ingen…
Towards events ontology based on data sensors network for viticulture domain
2018
International audience; Wine Cloud project is the first "Big Data" platform on the french viticulture value chain. The aim of this platform is to provide a complete traceability of the life cycle of the wine, from the wine-grower to the consumer. In particular, Wine Cloud may qualify as an agricultural decision platform that will be used for vine life cycle management in order to predict the occurrence of major risks (vine diseases, grape vine pests, physiological risks, fermentation stoppage, oxidation of vine, etc...). Also to make wine production more rational by offering winegrower a set of recommendation regarding their strategy's of production development. The proposed platform "Wine …
Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression
2021
Monitoring cropland phenology from optical satellite data remains a challenging task due to the influence of clouds and atmospheric artifacts. Therefore, measures need to be taken to overcome these challenges and gain better knowledge of crop dynamics. The arrival of cloud computing platforms such as Google Earth Engine (GEE) has enabled us to propose a Sentinel-2 (S2) phenology end-to-end processing chain. To achieve this, the following pipeline was implemented: (1) the building of hybrid Gaussian Process Regression (GPR) retrieval models of crop traits optimized with active learning, (2) implementation of these models on GEE (3) generation of spatiotemporally continuous maps and time seri…
Building a statistical surveillance dashboard for COVID-19 infection worldwide
2020
When a pandemic like the current novel coronavirus (COVID-19) breaks out, it is important that authorities, healthcare organizations and official decision makers, have in place an effective monitoring system to promptly analyze data, create new insights into problematic areas and generate actionable knowledge for fact-based decision making. The aim of this article is to describe an initial work focused on building a comprehensive statistical surveillance dashboard for the epidemic of COVID-19, which can be exploited also for future needs. We propose novel ways of exploring, analyzing and presenting data, using metrics that have not been used previously. We also show the steps necessary to b…
Plant-wide modelling in wastewater treatment: showcasing experiences using the Biological Nutrient Removal Model
2020
Abstract Plant-wide modelling can be considered an appropriate approach to represent the current complexity in water resource recovery facilities, reproducing all known phenomena in the different process units. Nonetheless, novel processes and new treatment schemes are still being developed and need to be fully incorporated in these models. This work presents a short chronological overview of some of the most relevant plant-wide models for wastewater treatment, as well as the authors' experience in plant-wide modelling using the general model BNRM (Biological Nutrient Removal Model), illustrating the key role of general models (also known as supermodels) in the field of wastewater treatment…
Big data analytics in healthcare: a systematic literature review
2020
The current study performs a systematic literature review (SLR) to synthesise prior research on the applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 stu...
Social representations of COVID-19 (Representaciones sociales del COVID-19)
2020
This is a reflection on the communication modalities of dissemination, propagation and propaganda as they have manifested in the COVID-19 pandemic. It describes the anchoring of the representations...
Performance Assessment of Critical Thinking: Conceptualization, Design, and Implementation
2020
Enhancing students’ critical thinking (CT) skills is an essential goal of higher education. This article presents a systematic approach to conceptualizing and measuring CT. CT generally comprises the following mental processes: identifying, evaluating, and analyzing a problem; interpreting information; synthesizing evidence; and reporting a conclusion. We further posit that CT also involves dealing with dilemmas involving ambiguity or conflicts among principles and contradictory information. We argue that performance assessment provides the most realistic—and most credible—approach to measuring CT. From this conceptualization and construct definition, we describe one possible framework for …
DESIGNING & PILOTING ONLINE TESTS AS PART OF A TEACHER COMPETENCE ASSESSMENT
2019
Approaches for competence assessment are becoming increasingly important to plan school development goals, especially during complex educational changes. This paper outlines authors’ experience and recommendations from the designing and piloting of teacher online tests as part of a wider competence management process. A developed theoretical model of a universal teacher competence profile is presented. Tests represent four thematic parts related to teacher performance in classroom to facilitate: student cognitive activation, student self-regulation, student collaboration, and leveraging digital. Test questions were developed based on a framework of teacher performance assessment that consis…
Decay of48-50Ar isotopes
2011
International audience; Information on β-decay properties of neutron-rich 84-05Ar was obtained at the ISOLDE mass-separator facility at CERN using isobaric selectivity. This was achieved by a combination of a plasma-ion source with a cooled transfer line and subsequent mass-separation. Normally, argon beams cannot be mass-separated from intense multi-charged symmetric fission krypton and xenon. Several techniques were used successfully in order to overcome this problem. Implication of the obtained information for a better understanding of the origin of the 48Ca/46Ca isotopic anomaly discovered in inclusions from the Allende meteorite is discussed.