Search results for "Planetary Science"

showing 10 items of 4367 documents

Formazione Service e-Learning: esperienza media-educativa

2023

The use of technology is an interesting device, which constitutes a useful self-training approach, related to an experience, from which to extract significant materials and traces of their personal learning. In Italy, Service Learning (SL) projects that use digital media in the university environment are still rare and therefore there are not many data and research results related to the introduction of SL in the training of future teachers. On the contrary, at the international level we find a vast scientific literature on SL and its applications, also in the academic field. Service e-Learning (Se-L) can in fact represent an essential approach for university education, which allows student…

learning experiencemedia education.studentgood practiceGeneral Earth and Planetary Sciencesservice e-learningSettore M-PED/03 - Didattica E Pedagogia SpecialeGeneral Environmental ScienceMedia Education
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A New Perspective on the Textile and Apparel Industry in the Digital Transformation Era

2022

The textile and apparel (fashion) industry has been influenced by developments in societal socio-cultural and economic structures. Due to a change in people’s preferences from economic functionality to supra-functionality beyond economic value, the fashion industry is at the forefront of digitalization. The growing digitalization in the fashion industry corresponds to digital fashion, which can satisfy the rapid shift in consumers’ preferences. This paper explores the evolving con-cept of innovations in digital fashion in the textile and apparel industry. Specifically, it centers on the evaluation of Amazon’s digital fashion initiatives, which have made the platform the Un…

liiketoimintamallitAmazon; textile and apparel; fashion; advanced digital fashions; supra-omnichannel; non-contact society; beyond e-commercenon-contact societyvaateteollisuustextile and appareltekstiiliteollisuusbeyond e-commerceadvanced digital fashionstekoälymuotialainnovaatiotfashionsupra-omnichannelmuotiGeneral Earth and Planetary SciencesdigitalisaatioAmazonGeneral Environmental ScienceTextiles; Volume 2; Issue 4; Pages: 633-656
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Comunicación y lingüística: metodología de análisis redaccional en perspectiva ética

2020

El objetivo de este artículo es presentar un modelo de análisis de redacción periodística o publicitaria, tomando en cuenta cuatro elementos lingüísticos: sintaxis, semántica, ortografía y morfología, con una mirada ética. La fundamentación parte de lo que denomino la "ética de la palabra", que no es de aplicación exclusiva en el periodismo o en la lingüística; es transversal. Los periodistas han de poner especial cuidado en el lenguaje de manera que en la pretensión de información no caigan en el vicio de la desinformación. Por la vía de la hermenéutica crítica, se toma la metodología de análisis lingüística para arroparlo con una orientación ética, bien por la búsqueda de la excelencia de…

lingüística aplicadagramática:ÉTICA [UNESCO]UNESCO::ÉTICAéticaGeneral Earth and Planetary Sciencesredacción periodísticaperiodismoGeneral Environmental ScienceA workshop for communication research
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The ALHAMBRA survey: B -band luminosity function of quiescent and star-forming galaxies at 0.2 ≤  z  < 1 by PDF analysis

2016

[Aims]: Our goal is to study the evolution of the B-band luminosity function (LF) since z ∼ 1 using ALHAMBRA data. [Methods]: We used the photometric redshift and the I-band selection magnitude probability distribution functions (PDFs) of those ALHAMBRA galaxies with I ≤ 24 mag to compute the posterior LF. We statistically studied quiescent and star-forming galaxies using the template information encoded in the PDFs. The LF covariance matrix in redshift - magnitude - galaxy type space was computed, including the cosmic variance. That was estimated from the intrinsic dispersion of the LF measurements in the 48 ALHAMBRA sub-fields. The uncertainty due to the photometric redshift prior is also…

luminosity function mass function [Galaxies]Galaxies: statisticsAstrophysics::High Energy Astrophysical PhenomenaPopulationAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics01 natural sciencesLuminositystatistics [Galaxies]0103 physical scienceseducation010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsPhotometric redshiftLuminosity function (astronomy)Physicseducation.field_of_study010308 nuclear & particles physicsGalaxies: luminosity function mass functionGalaxies: evolutionAstronomy and AstrophysicsCosmic varianceB bandevolution [Galaxies]Astrophysics - Astrophysics of GalaxiesRedshiftGalaxy[PHYS.ASTR.GA]Physics [physics]/Astrophysics [astro-ph]/Galactic Astrophysics [astro-ph.GA]Space and Planetary ScienceHigh Energy Physics::ExperimentAstrophysics::Earth and Planetary Astrophysics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Astronomy & Astrophysics
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Euclid preparation. XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses

2021

Pocino, A., et al. (Euclid Collaboration)

luminous red galaxiesCosmological parameterAstrophysicsSurveys01 natural sciencesCosmologytechniques: photometricgalaxiesGalaxies: distances and redshiftdistances and redshiftsSurvey010303 astronomy & astrophysicsWeak gravitational lensingPhysicsRedshift surveylsstastro-ph.COgalaxies: distances and redshiftsconstraintsAstrophysics - Cosmology and Nongalactic Astrophysicsredshift surveyCosmology and Nongalactic Astrophysics (astro-ph.CO)Cosmological parametersFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsphotometricSettore FIS/05 - Astronomia e Astrofisicasurveys0103 physical sciencesdistances and redshifts [Galaxies]cosmological parametersSpurious relationshipCluster analysisdark energy surveyAstrophysics::Galaxy Astrophysics010308 nuclear & particles physicsphotometric [Techniques]Astronomy and Astrophysicsspace115 Astronomy Space scienceRedshiftGalaxySpace and Planetary ScienceCosmological parameters; Galaxies: distances and redshifts; Surveys; Techniques: photometrictechniquesFocus (optics)[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]cosmologycosmic shearintrinsic alignments
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What makes segmentation good? A case study in boreal forest habitat mapping

2013

Segmentation goodness evaluation is a set of approaches meant for deciding which segmentation is good. In this study, we tested different supervised segmentation evaluation measures and visual interpretation in the case of boreal forest habitat mapping in Southern Finland. The data used were WorldView-2 satellite imagery, a lidar digital elevation model (DEM), and a canopy height model (CHM) in 2 m resolution. The segmentation methods tested were the fractal net evolution approach (FNEA) and IDRISI watershed segmentation. Overall, 252 different segmentation methods, layers, and parameter combinations were tested. We also used eight different habitat delineations as reference polygons agains…

luokitus (toiminta)Watershedbusiness.industryComputer scienceSegmentation-based object categorizationta1172ta1171Scale-space segmentationImage segmentationMachine learningcomputer.software_genreRandom forestsegmentointiRankingGeneral Earth and Planetary SciencesSegmentationArtificial intelligencekaukokartoitusbusinessDigital elevation modelcomputerlidarlaserkeilausluokitusInternational Journal of Remote Sensing
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The Truth is Out There : Focusing on Smaller to Guess Bigger in Image Classification

2023

In Artificial Intelligence (AI) in general and in Machine Learning (ML) in particular, which are important and integral components of modern Industry 4.0, we often deal with uncertainty, e.g., lack of complete information about the objects we are classifying, recognizing, diagnosing, etc. Traditionally, uncertainty is considered to be a problem especially in the responsible use of AI and ML tools in the smart manufacturing domain. However, in this study, we aim not to fight with but rather to benefit from the uncertainty to improve the classification performance in supervised ML. Our objective is a kind of uncertainty-driven technique to improve the performance of Convolutional Neural Netwo…

luokitus (toiminta)deep learningsyväoppiminenConvolutional Neural Networkneuroverkotepävarmuusclassification refinementmachine learningkoneoppiminenGeneral Earth and Planetary SciencesuncertaintykuvatGeneral Environmental Scienceimage classification
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A Spotlight on the Role of Radiomics and Machine-Learning Applications in the Management of Intracranial Meningiomas: A New Perspective in Neuro-Onco…

2022

Background: In recent decades, the application of machine learning technologies to medical imaging has opened up new perspectives in neuro-oncology, in the so-called radiomics field. Radiomics offer new insight into glioma, aiding in clinical decision-making and patients’ prognosis evaluation. Although meningiomas represent the most common primary CNS tumor and the majority of them are benign and slow-growing tumors, a minor part of them show a more aggressive behavior with an increased proliferation rate and a tendency to recur. Therefore, their treatment may represent a challenge. Methods: According to PRISMA guidelines, a systematic literature review was performed. We included selected a…

machine learningradiomicsSettore MED/27 - NeurochirurgiaSpace and Planetary Sciencedeep learningPaleontologymeningiomaneuro-oncologyGeneral Biochemistry Genetics and Molecular BiologyEcology Evolution Behavior and SystematicsLife (Basel, Switzerland)
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Antioxidant Potential of Extracts Obtained from Macro- (Ascophyllum nodosum, Fucus vesiculosus and Bifurcaria bifurcata) and Micro-Algae (Chlorella v…

2018

Background: Natural antioxidants, which can replace synthetic ones due to their potential implications for health problems in children, have gained significant popularity. Therefore, the antioxidant potential of extracts obtained from three brown macroalgae (Ascophyllum nodosum, Fucus vesiculosus and Bifurcaria bifurcata) and two microalgae (Chlorella vulgaris and Spirulina platensis) using ultrasound-extraction as an innovative and green approach was evaluated. Methods: Algal extracts were obtained by ultrasound-assisted extraction using water/ethanol (50:50, v:v) as the extraction solvent. The different extracts were compared based on their antioxidant potential, measuring the extraction …

macroalgae0106 biological sciencesAntioxidantDPPHmedicine.medical_treatmentPhloroglucinolChlorella vulgarisantioxidant activitylcsh:MedicineFucus vesiculosus01 natural sciencesArticlechemistry.chemical_compound0404 agricultural biotechnology010608 biotechnologymedicineFood sciencemacroalgae; microalgae; extraction yield; total phenolic content; antioxidant activityGeneral Environmental Sciencebiologymicroalgaelcsh:RGeneral Engineering04 agricultural and veterinary sciencesbiology.organism_classification040401 food scienceextraction yieldchemistryPolyphenoltotal phenolic contentGeneral Earth and Planetary SciencesTroloxAscophyllumMedicines; Volume 5; Issue 2; Pages: 33
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Elemental and isotope covariation of noble gases in mineral phases from Etnean volcanics erupted during 2001–2005, and genetic relation with peripher…

2008

Abstract During 2001–2005, Mount Etna was characterized by intense eruptive activity involving the emission of petrologically different products from several vents, which involved at least two types of magma with different degrees of evolution. We investigated the ratios and abundances for noble-gas isotopes in fluid inclusions trapped in olivines and pyroxenes in the erupted products. We confirm that olivine has the most efficient crystalline structure for preserving the pristine composition of entrapped gases, while pyroxene can suffer diffusive He loss. Both the minerals also experience noble gas air contamination after eruption. Helium isotopes of the products genetically linked to the …

magma degassing.geographygeography.geographical_feature_categoryOlivinefluid inclusionhelium isotopeTrace elementGeochemistryPyroxeneengineering.materialnoble gaseMantle (geology)Settore GEO/08 - Geochimica E VulcanologiaVolcanic rockGeophysicsVolcanoSpace and Planetary ScienceGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)engineeringFluid inclusionsMetasomatismGeologymagma degassing
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