Search results for "Planet"

showing 10 items of 5662 documents

Education for planetary well-being

2024

The aim of this chapter is to present how education can promote planetary well-being as well as what the adoption of the planetary well-being means for education. The main objective is to explore theoretical perspectives on the new concept education for planetary well-being by examining its underlying philosophical assumptions and by introducing related approaches in the field of education. There exist several initiatives and frameworks that have aimed to make education more sustainable and just, but many of these are based on the concept of sustainable development and have considerable limitations regarding their potential to address the ecological crisis and bring about urgently needed so…

planetary well-beinguudistava oppiminenkestävä kehitysdialogisuuskasvatusvihreä siirtymäplanetaarinen hyvinvointikestävä elämäntapa
researchProduct

A giant planet beyond the snow line in microlensing event OGLE-2011-BLG-0251

2013

We present the analysis of the gravitational microlensing event OGLE-2011-BLG-0251. This anomalous event was observed by several survey and follow-up collaborations conducting microlensing observations towards the Galactic Bulge. Based on detailed modelling of the observed light curve, we find that the lens is composed of two masses with a mass ratio q=1.9 x 10^-3. Thanks to our detection of higher-order effects on the light curve due to the Earth's orbital motion and the finite size of source, we are able to measure the mass and distance to the lens unambiguously. We find that the lens is made up of a planet of mass 0.53 +- 0.21,M_Jup orbiting an M dwarf host star with a mass of 0.26 +- 0.…

planets and satellites: detection010504 meteorology & atmospheric sciencesSatellitesbulge [Galaxy]FOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsDiscoveryGravitational microlensing01 natural sciencesGalaxy: bulgeEinstein radiusLensgravitational lensing: weakSettore FIS/05 - Astronomia e AstrofisicaPlanetSnow0103 physical sciencesgravitational lensing; weak; planets and satellites; detection; planetary systems; Galaxy; bulgegravitational lensing: weak; planets and satellites: detection; planetary systems; Galaxy: bulgeBinaryQB Astronomy010303 astronomy & astrophysicsplanetary systemsAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesQBPhysicsEarth and Planetary Astrophysics (astro-ph.EP)Giant planetSystemsSearchAstronomy and AstrophysicsRadiusFrequencyPlanetary systemMass ratioMassLight curveStarsAlgorithmdetection [Planets and satellites]Planetary systemsSpace and Planetary ScienceDwarfAstrophysics::Earth and Planetary Astrophysicsweak [Gravitational lensing]Astrophysics - Earth and Planetary AstrophysicsAstronomy and Astrophysics
researchProduct

The Hamburg/ESO R-process Enhanced Star survey (HERES)

2004

We report on a dedicated effort to identify and study metal-poor stars strongly enhanced in r-process elements ([r/Fe] > 1 dex; hereafter r-II stars), the Hamburg/ESO R-process Enhanced Star survey (HERES). Moderate-resolution (~2A) follow-up spectroscopy has been obtained for metal-poor giant candidates selected from the Hamburg/ESO objective-prism survey (HES) as well as the HK survey to identify sharp-lined stars with [Fe/H] < -2.5dex. For several hundred confirmed metal-poor giants brighter than B~16.5mag (most of them from the HES), ``snapshot'' spectra (R~20,000; S/N~30 per pixel) are being obtained with VLT/UVES, with the main aim of finding the 2-3% r-II stars expected to be a…

population II [stars]PhysicsAstrophysics (astro-ph)FOS: Physical sciencesabundances [Galaxy]Astronomy and AstrophysicsAstrophysicsStar (graph theory)AstrophysicsSpectral lineabundances [stars]Neutron captureStarssurveysSpace and Planetary SciencePhenomenological modelhalo [Galaxy]Astronomy Astrophysics and Cosmologyr-processSpectroscopyRadioactive decayAstronomy & Astrophysics
researchProduct

Power Line Monitoring through Data Integrity Analysis with Q-Learning Based Data Analysis Network

2022

To monitor and handle big data obtained from electrical, electronic, electro-mechanical, and other equipment linked to the power grid effectively and efficiently, it is important to monitor them continually to gather information on power line integrity. We propose that data transmission analysis and data collection from tools like digital power meters may be used to undertake predictive maintenance on power lines without the need for specialized hardware like power line modems and synthetic data streams. Neural network models such as deep learning may be used for power line integrity analysis systems effectively, safely, and reliably. We adopt Q-learning based data analysis network for anal…

power linedata integrity analysis; artificial neural network; Q-learning; power line; monitoringmonitoringVDP::Teknologi: 500Q-learningGeneral Earth and Planetary Sciencesdata integrity analysisartificial neural networkRemote Sensing; Volume 15; Issue 1; Pages: 194
researchProduct

Design of a Hybrid Electric Power-Split Transmission for Braking Energy Recovery in a Drilling Rig

2022

Despite the promising potential of the hybrid electric power-split layout, its broader market penetration is prevented by the large number of feasible solutions and the constructive complexity, which overcomplicate the design process. Moreover, due to the lack of relevant literature references, the power-split transmissions design is even more difficult if concerning applications outside the automotive and agricultural sectors. In this paper, a general parametric model already available in the literature to design a single-mode power-split transmission with up to two planetary gear sets and six ordinary gear sets was applied to hybridize an oil drilling rig to recover energy braking during …

power-split transmission; design; hybrid electric drilling rig; regenerative braking; planetary gearingDesignMechanical Engineeringplanetary gearingregenerative brakinghybrid electric drilling rigSettore ING-IND/13 - Meccanica Applicata Alle MacchineEngineering (miscellaneous)power-split transmissionIndustrial and Manufacturing EngineeringDesigns; Volume 6; Issue 5; Pages: 74
researchProduct

Microbiome and Probiotics in Acne Vulgaris—A Narrative Review

2022

Acne vulgaris is a chronic disease characterised by the appearance of eruptions such as whiteheads, blackheads, pustules, papules, and cysts. Among factors that cause acne vulgaris are the abnormal keratinisation of the sebaceous canal, bacterial colonisation (Cutibacterium acnes), increased sebum production, genotypic factors, and hormonal disorders. Treatment is often long and tedious, and can lead to a reduction in quality of life and social isolation. The intestinal microbiota is greatly important in the formation of acne lesions. It is also responsible for the proper immunity of the organism. Acne is a disease that can be related to the condition of the digestive tract and its microbio…

probioticsSpace and Planetary Scienceskin microfloraPaleontologymicrobiomeskin careacneGeneral Biochemistry Genetics and Molecular BiologyEcology Evolution Behavior and SystematicsLife
researchProduct

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?

psicoanálisispasadoUNESCO::HISTORIAGeneral Earth and Planetary Sciencesmétodo:HISTORIA [UNESCO]sigmund freudhistoria
researchProduct

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…

päättelyluokitus (toiminta)syväoppiminenConvolutional Neural Networkneuroverkotimage processingGenerative Adversarial NetworkkoneoppiminenkausaliteettiGeneral Earth and Planetary Sciencesvalmistustekniikkakonenäköcausal discoverycausal inferenceGeneral Environmental Science
researchProduct

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…

radar vegetation index; time series; irrigated winter wheat; cross-correlationGeneral Earth and Planetary SciencesRemote Sensing
researchProduct

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…

radiólogosEmotional exhaustionagotamiento emocionalAgotamiento emocionalBurnout PsychologicalArticleRadiólogosRadiologistsPrevalenceHumansRealización personalRadiology Nuclear Medicine and imagingProfessional exhaustionDespersonalizaciónChildBurnout ProfessionalPandemicsGeneral Environmental ScienceburnoutCOVID-19Syndrome:CIENCIAS MÉDICAS [UNESCO]Desgaste profesionaldesgaste profesionalDepersonalizationUNESCO::CIENCIAS MÉDICASGeneral Earth and Planetary SciencesPersonal fulfillmentrealización personalRadiologia
researchProduct