Search results for "Dimension"

showing 10 items of 2766 documents

LA PREGHIERA POST-SECOLARIZZATA DEI MILLENNIALS

2019

The article discusses the theme of prayer understood as a process of individual research of a secular spirituality rather than as a ritual practice among members of the same faith. Trough the answers given by a sample of 1026 students of Palermo University, the prayer appears as the result of a individualization’s process and assumes post-secularized connotations. The answers given during the focus groups conducted, identify in the choice of Millennials to ‘pray’ an activity of reflection that goes beyond the autopoietic and self-referential dimension.Millennials’ pray is a self-reflexive prayer that often questions the great themes of this time – euthanasia, abortion, procreative choices, …

Settore SPS/08 - Sociologia Dei Processi Culturali E ComunicativiPrayer spiritual seekers intrapersonal dimension Millennials secularization.Settore SPS/07 - Sociologia Generale
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Un uso economico della violenza o una sua nuova declinazione?

2021

Il nesso tra mafia e violenza è, anche simbolicamente, tra i più rilevanti. “Capitale elementare” delle mafie, la violenza crea legami e relazioni; è un fattore identitario, strumento d’esibizione simbolica del potere, mezzo per demarcare il limite dell’appartenenza e della legittimità, assumendo, quando occorre, forme più raffinate e qualificate. Tenendo presente la sua declinazione in termini qualitativi più che la sua maggiore o minore incidenza in termini quantitativi, vanno lette le risposte alla domanda se oggi, rispetto al passato, la mafia sia più o meno incline alla violenza (o se sia “violenta” come prima).

Settore SPS/12 - Sociologia Giuridica Della Devianza E Mutamento SocialeViolenza Mafia Dimensioni simboliche fattori identitari Potere
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Dimensione frattale in biologia ed in medicina umana.

2009

Nell’organismo umano, esistono fattori che contribuiscono a rendere stabili i suoi sistemi frattali biologici. Nel presente lavoro di anatomia comparata e di fisiologia, illustro alcuni di questi sistemi ad invarianza di scala; descrivo le principali forze che li determinano, li regolano e stabilizzano. Riporto altresì alcune patologie, collegate alle alterazioni della (FD) dimensione frattale. La ricca bibliografia consultata mi ha dato modo di tracciare importanti correlazioni come quello tra due dimensioni frattali: del sistema nervoso centrale e della circolazione sanguigna cerebrale.

Settore VET/01 - Anatomia Degli Animali DomesticiFractal dimension biology anatomy.
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L'evento persona

2018

Il titolo è un monogramma dell’opera: la persona è un evento educativo, la sua ontologia apre il senso originario dell’educare. La Prima parte contiene i Segnavia, saggi di pedagogia fondamentale che elaborano una concezione dell’educazione definita da due istanze: una esistenziale, la realizzazione di una vita piena e totale; l’altra storica, la personalizzazione di un’eredità di senso. La Seconda parte apre Sentieri, attraverso testi di antropologia pedagogica che esplicitano quanto apprendiamo sulla persona nei mondi dell’educazione. Sono dedicati alla famiglia e all’«umanesimo dell’intimità»; all’esperienza di quanti, soprattutto nel volontariato, fanno rientrare nella riuscita della vi…

Sfide radicali per l'educazione la dimensione dello spirito il riconoscimento della persona il bisogno educativo un ideale di vita buona il metodo empatico la formazione dll'intelligenza pedagogia del sentire la relazione di coppia l'esser-famiglia della famiglia l'ethos familiare la verità del padre il maschile e il femminile il perché delle differenze il senso religioso.Settore M-PED/01 - Pedagogia Generale E Sociale
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Generalised stage-discharge relationship for rectangular weirs

2018

Rectangular weirs, which are very common hydraulic structures used in irrigation channels as water measuring devices, can be used for measuring very small discharges as well as high flow rates. From the practical point of view the availability of a unique stage-discharge formula that can be applied for the different types of the rectangular weirs would be of great practical importance. At first, in this paper the Buckingham’s Theorem of the dimensional analysis and the self-similarity theory are used to deduce the stage-discharge curve of different kinds of rectangular weirs such as slit and partially contracted ones. Then the proposed formula is calibrated using both the experimental data …

Sharp-crested weir Rectangular weir stage-discharge relationship dimensional analysis self-similaritySettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali
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On Shimura subvarieties of the Prym locus

2018

We show that families of Pryms of abelian Galois covers of $\mathbb{P}^1$ in $A_{g-1}$ (resp. $A_g$) do not give rise to high dimensional Shimura subvareties.

Shimura varietyPure mathematicsAlgebra and Number TheoryMathematics::Number Theory010102 general mathematics010103 numerical & computational mathematicsHigh dimensionalPrym variety01 natural sciencesMathematics - Algebraic GeometryMathematics::Algebraic GeometryFOS: Mathematics0101 mathematicsAbelian groupLocus (mathematics)Algebraic Geometry (math.AG)Mathematics
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Presence and Absence in Global Virtual Team Meetings : Physical, Virtual, and Social Dimensions

2016

Global virtual work is commonly organised around virtual meetings. As virtual team members often belong to multiple groups in their work, finding time for global team meetings may be challenging due to competing priorities and roles as well as different time zones and schedules. Furthermore, social presence does not automatically emerge based on physical or virtual presence. Therefore, the notions of being physically, virtually and socially present or absent in global team meetings are important, and affect the collaboration of global work groups. These different dimensions of presence and absence and their nature as fluctuating phenomena have not yet been scrutinised in virtual work litera…

Sickness absenceKnowledge managementbusiness.industryTeam meetingVirtual teamPublic relationsSocial dimensionvirtual meetingsVirtual presenceglobal workWork (electrical)absenceVirtual workläsnäolobusinessPsychologyWorking groupvirtual teams
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Multi-temporal and Multi-source Remote Sensing Image Classification by Nonlinear Relative Normalization

2016

Remote sensing image classification exploiting multiple sensors is a very challenging problem: data from different modalities are affected by spectral distortions and mis-alignments of all kinds, and this hampers re-using models built for one image to be used successfully in other scenes. In order to adapt and transfer models across image acquisitions, one must be able to cope with datasets that are not co-registered, acquired under different illumination and atmospheric conditions, by different sensors, and with scarce ground references. Traditionally, methods based on histogram matching have been used. However, they fail when densities have very different shapes or when there is no corres…

Signal Processing (eess.SP)FOS: Computer and information sciences010504 meteorology & atmospheric sciencesHyperspectral imagingComputer Vision and Pattern Recognition (cs.CV)0211 other engineering and technologiesNormalization (image processing)Computer Science - Computer Vision and Pattern Recognition02 engineering and technology3107 Atomic and Molecular Physics and Optics01 natural sciencesLaboratory of Geo-information Science and Remote SensingComputer vision910 Geography & travelMathematicsDomain adaptationContextual image classificationImage and Video Processing (eess.IV)1903 Computers in Earth SciencesPE&RCClassificationAtomic and Molecular Physics and OpticsComputer Science ApplicationsKernel method10122 Institute of GeographyKernel (image processing)Feature extractionFeature extractionVery high resolutionGraph-based methods1706 Computer Science ApplicationsFOS: Electrical engineering electronic engineering information engineeringLaboratorium voor Geo-informatiekunde en Remote SensingComputers in Earth SciencesElectrical Engineering and Systems Science - Signal ProcessingEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingManifold alignmentbusiness.industryNonlinear dimensionality reductionHistogram matchingKernel methodsPattern recognitionElectrical Engineering and Systems Science - Image and Video ProcessingManifold learningArtificial intelligence2201 Engineering (miscellaneous)businessISPRS Journal of Photogrammetry and Remote Sensing
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Nonlinear Distribution Regression for Remote Sensing Applications

2020

In many remote sensing applications, one wants to estimate variables or parameters of interest from observations. When the target variable is available at a resolution that matches the remote sensing observations, standard algorithms, such as neural networks, random forests, or the Gaussian processes, are readily available to relate the two. However, we often encounter situations where the target variable is only available at the group level, i.e., collectively associated with a number of remotely sensed observations. This problem setting is known in statistics and machine learning as multiple instance learning (MIL) or distribution regression (DR). This article introduces a nonlinear (kern…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningArtificial neural networkRemote sensing applicationComputer science0211 other engineering and technologies02 engineering and technologyLeast squaresRandom forestMachine Learning (cs.LG)Kernel (linear algebra)symbols.namesakeKernel (statistics)symbolsFOS: Electrical engineering electronic engineering information engineeringGeneral Earth and Planetary SciencesElectrical Engineering and Systems Science - Signal ProcessingElectrical and Electronic EngineeringGaussian processAlgorithm021101 geological & geomatics engineeringCurse of dimensionalityIEEE Transactions on Geoscience and Remote Sensing
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Random Feature Approximation for Online Nonlinear Graph Topology Identification

2021

Online topology estimation of graph-connected time series is challenging, especially since the causal dependencies in many real-world networks are nonlinear. In this paper, we propose a kernel-based algorithm for graph topology estimation. The algorithm uses a Fourier-based Random feature approximation to tackle the curse of dimensionality associated with the kernel representations. Exploiting the fact that the real-world networks often exhibit sparse topologies, we propose a group lasso based optimization framework, which is solve using an iterative composite objective mirror descent method, yielding an online algorithm with fixed computational complexity per iteration. The experiments con…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningComputational complexity theoryComputer scienceApproximation algorithmTopology (electrical circuits)Network topologyMachine Learning (cs.LG)Kernel (statistics)FOS: Electrical engineering electronic engineering information engineeringTopological graph theoryElectrical Engineering and Systems Science - Signal ProcessingOnline algorithmAlgorithmCurse of dimensionality
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