Search results for "75"

showing 10 items of 1365 documents

Who cares? Evidence on informal and formal home care use in Estonia

2019

Despite increasing attention to long-term care (LTC) and related challenges in the Estonian social policy agenda, the distributional fairness of LTC services in the country has received very limited attention. Using SHARE data, we address informal and formal home care services and identify the socio-economic factors that drive or hinder their use among the Estonian elderly. The relationship between informal and formal home care utilization is estimated applying the new approach to instrumental variable method proposed by Lewbel [2012. Using heteroscedasticity to identify and estimate mismeasured and endogenous regressor models. Journal of Business and Economic Statistics, 30(1), 67–80]. We …

EstoniaEconomic growthlcsh:K4430-4675lcsh:HD72-88lcsh:Economic growth development planningPolitical science0502 economics and businessddc:330050207 economicslcsh:Public financeSocial policyJ14050208 financeI18I11I1205 social sciencesformal home careEstonianlanguage.human_languageinformal careLong-term carePolitical Science and International RelationslanguageSHARElong-term careC25C26General Economics Econometrics and Finance
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Bec de corall senegalès = Pico de coral común

Altres noms vulgars: Common waxbill (Anglès), Astrild ondulé (Francès), Wellenastrild (Alemany) Gabinet de Vertebrats (Departament de Zoologia), Facultat de Ciències Biològiques (Campus de Burjassot), C/ Doctor Moliner, s/n, Bloque B. 5é plant, Burjassot (Valencia). Armari: 31-2 Juvenil

Estrilda astrild (Linnaeus 1758)EstrildidaePájaros
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The Large Observatory for X-ray Timing (LOFT)

2012

High-time-resolution X-ray observations of compact objects provide direct access to strong-field gravity, to the equation of state of ultra-dense matter and to black hole masses and spins. A 10 m^2-class instrument in combination with good spectral resolution is required to exploit the relevant diagnostics and answer two of the fundamental questions of the European Space Agency (ESA) Cosmic Vision Theme "Matter under extreme conditions", namely: does matter orbiting close to the event horizon follow the predictions of general relativity? What is the equation of state of matter in neutron stars? The Large Observatory For X-ray Timing (LOFT), selected by ESA as one of the four Cosmic Vision M…

Event horizonX-ray timingMission7. Clean energy01 natural sciencesneutron starsT175 Industrial research. Research and developmentBINARIESSettore FIS/05 - Astronomia E AstrofisicaALICESILICON DRIFT DETECTORObservatoryEQUATIONneutron star010303 astronomy & astrophysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Physics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Astrophysics::Instrumentation and Methods for AstrophysicsMissions X-ray timing compact objects black holes neutron starscompact objectsAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaPROPORTIONAL COUNTER[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Active galactic nucleusCosmic VisionX-ray astronomy; high time variabilityAstrophysics::High Energy Astrophysical Phenomenablack holes; compact objects; Missions; neutron stars; X-ray timing;FOS: Physical sciencesMissionsX-ray astronomy0103 physical sciencesOSCILLATIONSInstrumentation and Methods for Astrophysics (astro-ph.IM)Supermassive black holehigh time variability010308 nuclear & particles physicsAstronomyCONSTRAINTSAstronomy and Astrophysicsblack holesGalaxyBlack holeNeutron starSpace and Planetary ScienceQB460-466 AstrophysicsDISCOVERYBLACK-HOLESUPERAGILE
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Nurses' sources of information to inform clinical practice : An integrative review to guide evidence-based practice

2022

BACKGROUND: Evidence-based practice in nursing is challenging and relies on the sources of information used by nurses to inform clinical practice. An integrative review from 2008 revealed that nurses more frequently relied on information from colleagues than information from high-level sources such as systematic reviews and evidence-based clinical practice guidelines. AIMS: To describe the information sources used by registered nurses to inform their clinical practice. METHODS: An integrative review was conducted according to the PRISMA guidelines, based on empirical research studies published from January 2007 until June 2021. The included studies were appraised, following which the identi…

Evidence-Based PracticeOmvårdnadVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750evidence-based practiceHumansNursesintegrative reviewregistered nursesGeneral Medicinesources of informationNursingGeneral Nursing
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News about the Aragonese Botanist Martín Sessé Lacasta

2018

Se dan noticias del paso por la Universidad de Zaragoza y por América del médico y naturalista aragonés Martín Sessé Lacasta, que impulsó desde América la Expedición Botánica de Nueva España, así como la creación del Jardín botánico de México. Se trata de una de las personalidades que más han prestigiado la labor científica de España en América. / News about the stay of the Aragonese doctor and naturalist Martín Sessé Lacasta both in the Universidad de Zaragoza and Central America. He was part of the Botanical Expedition in Nueva España where he promoved Botanical studies and helped creating the Botanical Garden in Mexico. He is one of the most important Spanish scientist who spread Science…

Expedición Botánica de Nueva España - México - s. 18-19.Sessé Lacasta Martín 1751-1808 - Voyages and travels.Expediciones científicas españolas - Nueva España (México) - s. 18-19.UNESCO::CIENCIAS DE LA VIDASessé Lacasta Martín 1751-1808 - Biography.Botanists - 18-19th. century - Spain - Aragon.Botany - History.Botánica - Historia.Sessé Lacasta Martín 1751-1808 - Viajes.Sessé Lacasta Martín 1751-1808 - Biografías.Botánicos - s. 18-19 - España - Aragón.Spanish scientific expeditions - Nueva España (México) - 18-19th. century.:CIENCIAS DE LA VIDA [UNESCO]
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Rentabilidad de una pequeña explotación agraria en Vall de Uxó, 1721-1739

1982

Una serie de circunstancias nos ha permitido conocer la contabilidad de una pequeña explotación en la llanura costera valenciana, en Vall de Uxó, límite sur de la actual provincia de Castellón. En un proceso típico los arrendatarios de los derechos señoriales del Ducado de Villahermosa no pueden hacer frente a sus pagos y sus tierras son confiscadas; la cosecha está por recoger y se conceden temporalmente en administración a un campesino del lugar. Al no surgir postores en las subastas que se realizan, parte de las tierras siguen en manos de este labrador, a quien un buen día se le exigen cuentas de su administración. La relación pormenorizada de los gastos que ha realizado en el cultivo de…

Explotaciones agrariasDP1-402Modern history 1453-Rendimientos económicosD204-475Siglo XVIIIReligious studiesHistory of SpainVall de UxóRevista de Historia Moderna
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Sequentializing Parameterized Programs

2012

We exhibit assertion-preserving (reachability preserving) transformations from parameterized concurrent shared-memory programs, under a k-round scheduling of processes, to sequential programs. The salient feature of the sequential program is that it tracks the local variables of only one thread at any point, and uses only O(k) copies of shared variables (it does not use extra counters, not even one counter to keep track of the number of threads). Sequentialization is achieved using the concept of a linear interface that captures the effect an unbounded block of processes have on the shared state in a k-round schedule. Our transformation utilizes linear interfaces to sequentialize the progra…

FOS: Computer and information sciencesComputer Science - Logic in Computer ScienceScheduleComputer scienceD.2.4;F.3.1Interface (computing)Parameterized complexitymodel-checking02 engineering and technologyThread (computing)computer.software_genrelcsh:QA75.5-76.95parameterized programsComputer Science - Software Engineeringsoftware verification0202 electrical engineering electronic engineering information engineeringBlock (data storage)Programming languagelcsh:MathematicsD.2.4Local variable020207 software engineeringlcsh:QA1-939Logic in Computer Science (cs.LO)Software Engineering (cs.SE)Transformation (function)model-checking; software verification; parameterized programs020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceState (computer science)F.3.1computerElectronic Proceedings in Theoretical Computer Science
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Finite Model Reasoning in Expressive Fragments of First-Order Logic

2017

Over the past two decades several fragments of first-order logic have been identified and shown to have good computational and algorithmic properties, to a great extent as a result of appropriately describing the image of the standard translation of modal logic to first-order logic. This applies most notably to the guarded fragment, where quantifiers are appropriately relativized by atoms, and the fragment defined by restricting the number of variables to two. The aim of this talk is to review recent work concerning these fragments and their popular extensions. When presenting the material special attention is given to decision procedures for the finite satisfiability problems, as many of t…

FOS: Computer and information sciencesComputer Science - Logic in Computer ScienceTheoretical computer scienceComputer sciencelcsh:Mathematicsmedia_common.quotation_subjectModal logicContext (language use)lcsh:QA1-939InfinityTranslation (geometry)lcsh:QA75.5-76.95Logic in Computer Science (cs.LO)First-order logicImage (mathematics)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESFragment (logic)F.4.1lcsh:Electronic computers. Computer scienceAxiommedia_commonElectronic Proceedings in Theoretical Computer Science
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Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?

2021

Deep learning methods are the de facto solutions to a multitude of medical image analysis tasks. Cardiac MRI segmentation is one such application, which, like many others, requires a large number of annotated data so that a trained network can generalize well. Unfortunately, the process of having a large number of manually curated images by medical experts is both slow and utterly expensive. In this paper, we set out to explore whether expert knowledge is a strict requirement for the creation of annotated data sets on which machine learning can successfully be trained. To do so, we gauged the performance of three segmentation models, namely U-Net, Attention U-Net, and ENet, trained with dif…

FOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceProcess (engineering)GeneralizationIndustrial engineering. Management engineeringComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognitionheartannotated data setT55.4-60.8Machine learningcomputer.software_genre030218 nuclear medicine & medical imagingTheoretical Computer ScienceMachine Learning (cs.LG)Set (abstract data type)03 medical and health sciences0302 clinical medicineFOS: Electrical engineering electronic engineering information engineeringSegmentationNumerical AnalysisArtificial neural networkbusiness.industryDeep learningsegmentationImage and Video Processing (eess.IV)deep learningQA75.5-76.95Electrical Engineering and Systems Science - Image and Video ProcessingComputational MathematicsHausdorff distanceComputational Theory and MathematicsIndex (publishing)Electronic computers. Computer scienceArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryMRI
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An Empirical Investigation into Deep and Shallow Rule Learning

2021

Inductive rule learning is arguably among the most traditional paradigms in machine learning. Although we have seen considerable progress over the years in learning rule-based theories, all state-of-the-art learners still learn descriptions that directly relate the input features to the target concept. In the simplest case, concept learning, this is a disjunctive normal form (DNF) description of the positive class. While it is clear that this is sufficient from a logical point of view because every logical expression can be reduced to an equivalent DNF expression, it could nevertheless be the case that more structured representations, which form deep theories by forming intermediate concept…

FOS: Computer and information sciencesComputer Science - Machine Learninglearning in logicComputer Science - Artificial Intelligencedeep learningmini-batch learningQA75.5-76.95stochastic optimizationMachine Learning (cs.LG)inductive rule learningArtificial Intelligence (cs.AI)Artificial IntelligenceElectronic computers. Computer scienceOriginal Research
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