Search results for "Planetary Science"

showing 10 items of 4367 documents

Gravity-derived Moho map for Latvia

2020

A precise understanding of crustal structure is essential to the fields of geodynamics, seismology and certain branches of geophysics. A boundary between the crust and the mantle is known as the MohoroviÄiÄ discontinuity, simply referred to as the âMohoâ. Moho geometry and depth have been extensively studied in Europe, but there are still regions with little information about it. One such area is the northern Baltics, Latvia in particular. So far, only one seismic refraction profile, spanning from Sovetsk (Kaliningrad) to Kohtla-Järve (Estonia), has been used to study the deep structure of the Earth in Latvia. We propose gravity inversion (ParkerâOldenburg algorithm) to gain more insight i…

parker–oldenburg inversionGravity (chemistry)biologyMoholcsh:QE1-996.5mohorovičić discontinuitylatviaGeodesybiology.organism_classificationcrustal thickness.lcsh:Geologygravity dataGeneral Earth and Planetary SciencesGeologyWater Science and TechnologyEstonian Journal of Earth Sciences
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STATBOX Concept for Simulation of Urban Phenomena

2013

Abstract An urban environment is a dynamic system which is constantly changing in terms of space and time. There are two dimensions in any urban environment – the physical dimension and the functional dimension. All of the structures of an urban environment interact and people are the intermediaries in this process. The spatial structure of cities has been studied from various perspectives by architects, urban planners, environmental scientists, economists, geographers etc. Constant monitoring that is based on remote sensing, spatial statistics, simulation etc., is needed to make on going note of transformation in the various types of land use that exist, movement of people and business env…

pedestrian movementsLand useComputer scienceProcess (engineering)spatial analyzecomputer.software_genreGISData scienceVisualizationVirtual machineGeneral Earth and Planetary SciencesgeosimulationData miningRoad mapEnterprise GISDimension (data warehouse)computerSpatial analysisGeneral Environmental ScienceProcedia Computer Science
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Du « socialisme de cœur » zolien, ou comment être considéré en même temps comme « socialiste » et « ennemi du peuple »

2020

When Germinal was published in 1885, the critic classified Zola as a “socialist” writer. The author himself used this adjective many times referring to his work. At the same time, he didn’t know Marxism and was a resolute opponent to revolution, equality and the government by the people. The paper aims to explain some aspects of Zola’s “socialism” taking into account his origins, his youth experiences and the evolution of his works. This might help to understand the particular meaning done to the term by the writer. Suite à la publication de Germinal en 1885, la critique a classé Zola comme un écrivain « socialiste ». Le romancier lui-même a utilisé ce qualificatif plusieurs fois en parlant…

peopleFrench literature - Italian literature - Spanish literature - Portuguese literaturemedia_common.quotation_subjectPhilosophySocial questionSocialist mode of productionsocialismepeuplequestion socialeZolautopieutopiaUtopiasocial questionzolaGeneral Earth and Planetary SciencesPQ1-3999HumanitiessocialismGeneral Environmental Sciencemedia_common
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Els recursos emotius i persuasius, en el discurs oral de dues conferències ted

2016

espanolLa diversidad y la inmediatez de la informacion disponible en el mundo actual intensifican la necesidad de dominar las estrategias persuasivas emocionales, como tambien los recursos linguisticos necesarios para que estas tengan exito, por parte de quienes desean causar algun efecto en la poblacion. Los estudios interesados en susodichas estrategias se han centrado, mayoritariamente, en discursos comerciales o politicos y han desatendido de manera considerable aquellos dedicados a la difusion de ideas. Preocupados por esta carencia, en el presente trabajo nos preguntamos: Como se construye la persuasion, mediante la emocion, en los discursos orales que tienen como finalidad difundir i…

persuasió discurs oral emoció frame metàfora relat Artículo:PSICOLOGÍA [UNESCO]General Earth and Planetary SciencesUNESCO::PSICOLOGÍAGeneral Environmental ScienceAnuari de Psicologia de la Societat Valenciana de Psicologia
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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
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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
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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
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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
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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
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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
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