Search results for "AA"

showing 10 items of 16992 documents

Gada as an Integrative Factor of Political Organization

1994

Boranacouncil organizationgadaapolitcal integrationoromodescent system
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The Borana conserved landscape, Ethiopia

2008

BoranagadaaEthiopiabiodiversity conservationSettore M-DEA/01 - Discipline Demoetnoantropologichelandscapepastoralism
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Sull'organizzazione sociale tradizionale dei Borana: Contributo al dibattito

1988

This article deals with the traditional social organization of the Borana, an Oromo-speaking pastoral group of Northern Kenya and Southern Ethiopia. A special attention is reserved to the political role of four basic institutions: the kinship system, the gadaa system, the hariyaa system and the qaalluu. Cet article concerne l'organisation sociale des Borana, un groupe pastoral de langue Oromo du Kenya septentrional et de l'Ethiopie méridionale. Une attention particulière est portée au rôle politique de quatre institutions fondamentales: le système de parenté, les systèmes gadaa et hariyaa, et le qaalluu.

Boranagadaaassembleecustomary institutionOromoqaalluusistema di discendenzaSettore M-DEA/01 - Discipline Demoetnoantropologichesistemi delle classi d'etàdescent systemage class systemsorganizzazione tradizionale
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Power's Ambiguity or the Political Significance of Gada

1996

Boranagadaacustomary institutionOromoage class system
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I Borana: Una società assembleare dell'Etiopia

1996

Etnografia degli Oromo-Borana , Kenya ed Etiopia.

Boranaorganizzazione pastoraleorganizzazione politicagadaaOromoSettore M-DEA/01 - Discipline Demoetnoantropologicheistituzioni consuetudinarie
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Kypsä persoonallisuusko opettajan tärkein työväline? : kokemuksen ääni

2001

Borban itsetunnon malliminäkuvaempatiasosiaaliset taidotrealismiasenteetarvotAllport Gordon Wpersoonallisuusitsetunto
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Keskiluokan ehtoja vapaaehtoistyölle

2000

Bourdieu Pierrevapaaehtoistyökeskiluokka
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Norm-inflation results for purely BBM-type Boussinesq systems

2022

This article is concerned with the norm-inflation phenomena associated with a periodic initial-value abcd-Benjamin-Bona-Mahony type Boussinesq system. We show that the initial-value problem is ill-posed in the periodic Sobolev spaces H−sp (0, 2π)×H−sp (0, 2π) for all s > 0. Our proof is constructive, in the sense that we provide smooth initial data that generates solutions arbitrarily large in H−sp (0, 2π) × H−sp (0, 2π)-norm for arbitrarily short time. This result is sharp since in [15] the well-posedness is proved to holding for all positive periodic Sobolev indexes of the form Hsp (0, 2π) × Hsp (0, 2π), including s = 0. peerReviewed

Boussinesq systemnorm inflationPicard's iterationosittaisdifferentiaaliyhtälötBenjamin-Bona Mahony equationApplied MathematicsFourier'n sarjatDuhamel's principleFourier seriesspectral analysisAnalysisJournal of Mathematical Analysis and Applications
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An efficient functional magnetic resonance imaging data reduction strategy using neighborhood preserving embedding algorithm

2021

High dimensionality data have become common in neuroimaging fields, especially group-level functional magnetic resonance imaging (fMRI) datasets. fMRI connectivity analysis is a widely used, powerful technique for studying functional brain networks to probe underlying mechanisms of brain function and neuropsychological disorders. However, data-driven technique like independent components analysis (ICA), can yield unstable and inconsistent results, confounding the true effects of interest and hindering the understanding of brain functionality and connectivity. A key contributing factor to this instability is the information loss that occurs during fMRI data reduction. Data reduction of high …

Brain MappingPrincipal Component AnalysisRadiological and Ultrasound TechnologysignaalinkäsittelyfMRIBrainMagnetic Resonance Imagingtoiminnallinen magneettikuvausNeurologyHumansRadiology Nuclear Medicine and imagingNeurology (clinical)ICAAnatomyAlgorithmsNPEdimensionality reduction
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Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data

2021

The study of brain network interactions during naturalistic stimuli facilitates a deeper understanding of human brain function. To estimate large-scale brain networks evoked with naturalistic stimuli, a tensor component analysis (TCA) based framework was used to characterize shared spatio-temporal patterns across subjects in a purely data-driven manner. In this framework, a third-order tensor is constructed from the timeseries extracted from all brain regions from a given parcellation, for all participants, with modes of the tensor corresponding to spatial distribution, time series and participants. TCA then reveals spatially and temporally shared components, i.e., evoked networks with the …

Brain MappingsignaalinkäsittelyCognitive NeuroscienceMotion PicturesfMRIBrainReproducibility of Resultshermoverkot (biologia)signaalianalyysiTensor components analysisMagnetic Resonance Imagingtoiminnallinen magneettikuvausNaturalistic stimuliNeurologyInter-subject correlationHumansaivotutkimusNeuroImage
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