Search results for "Poster"

showing 10 items of 679 documents

SINDROME DA ENCEFALOPATIA POSTERIORE REVERSIBILE: TEMIBILE COMPLICANZA IN CORSO DI MAS DA AIG SISTEMICA

2018

Background: La sindrome da encefalopatia posteriore reversibile (PRES) è un disordine secondario a diverse condizioni cliniche, caratterizzato da cefalea acuta o subacuta, nausea, vertigini, alterazioni della coscienza, convulsioni, disturbi visivi transitori, emorragia retinica ed edema del nervo ottico. Alla RMN si riscontra edema vasogenico nell'emisfero cerebrale posteriore e talvolta aree necrotiche. Riportiamo il caso clinico di una paziente con sindrome da attivazione macrofagica (MAS) secondaria ad AIG sistemica che ha sviluppato una PRES. Caso Clinico: Una adolescente di 11 anni giunge alla nostra osservazione per comparsa di febbre persistente da 10 gg. Durante la degenza è stata …

Settore MED/38 - Pediatria Generale E SpecialisticaENCEFALOPATIA POSTERIORE REVERSIBILE MAS AIG SISTEMICA
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Effects of asymmetrical exercise demands on the symmetry of skin temperature in archers

2020

Abstract Objective: To analyse skin temperature asymmetries in response to asymmetrical exercise demand in archers. Approach: The skin temperature of the trunk and upper limbs was measured in 30 archers with an infrared camera at three different moments: before (Pre), immediately after (Post), and 10 min after (Post10) a simulated competition (18 warm-up shots and 72 qualifying round shots). Relative and absolute asymmetries were determined. Stepwise multiple linear regressions were performed using the variations of relative and absolute skin temperature asymmetries as predicting variables, and sex, age, experience, body mass index, bow mass, bow power, and rate of perceived exertion of com…

Shouldermedicine.medical_specialtyPhysiology0206 medical engineeringElbowBiomedical EngineeringBiophysicsPhysical exercise02 engineering and technologyPerceived exertion03 medical and health sciences0302 clinical medicinePhysiology (medical)Internal medicinemedicineHumansEffort perceptionMuscle SkeletalExerciseMathematicsSkin temperatureMuscle activation020601 biomedical engineeringTrunkmedicine.anatomical_structureCardiologySkin TemperaturePosterior shoulder030217 neurology & neurosurgerySportsPhysiological Measurement
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Occiput-spine relationship: shoulders are more important than head.

2017

BACKGROUND:To understand the role of fetal spine position in determining a fetal head position at the time of birth and modality of delivery. PATIENTS AND METHODS: This was a multicenter prospective observational study. Fetal occiput and spine position were evaluated by intrapartum ultrasound. Eighty-six women were eligible for inclusion in the study. Occiput rotational movements and modality of delivery in relation to the fetal spine position were investigated. RESULTS: At the beginning of labor, fetal occiput was in a posterior position in 52.3% of cases and, in 81.5% of cases the spine was in an anterior transverse position. At birth, occiput and spine were both in an anterior position i…

Shoulders head occipit-spine relationshipShoulderOcciput-Spine RelationshipSocio-culturaleFetal spineObstetric labor Fetal spine Intrapartum ultra- sound Occiput posterior Occiput-Spine Relationship.SpineUltrasonography PrenatalLabor PresentationObstetric labor Fetal spine Intrapartum ultrasound Occiput posterior Occiput-Spine Relationship.Obstetric laborFetusPregnancyOcciput posteriorHumansFemaleProspective StudiesHeadIntrapartum ultra- soundEuropean review for medical and pharmacological sciences
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Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs

2020

Radio maps are emerging as a popular means to endow next-generation wireless communications with situational awareness. In particular, radio maps are expected to play a central role in unmanned aerial vehicle (UAV) communications since they can be used to determine interference or channel gain at a spatial location where a UAV has not been before. Existing methods for radio map estimation utilize measurements collected by sensors whose locations cannot be controlled. In contrast, this paper proposes a scheme in which a UAV collects measurements along a trajectory. This trajectory is designed to obtain accurate estimates of the target radio map in a short time operation. The route planning a…

Signal Processing (eess.SP)Situation awarenessComputer scienceActive learning (machine learning)business.industry05 social sciencesReal-time computing050801 communication & media studies020206 networking & telecommunications02 engineering and technologyBayesian inferenceComputer Science::Robotics0508 media and communicationsInterference (communication)Metric (mathematics)0202 electrical engineering electronic engineering information engineeringTrajectoryMaximum a posteriori estimationFOS: Electrical engineering electronic engineering information engineeringWirelessElectrical Engineering and Systems Science - Signal Processingbusiness
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2018

Electrocardiographic imaging (ECGI) strongly relies on a priori assumptions and additional information to overcome ill-posedness. The major challenge of obtaining good reconstructions consists in finding ways to add information that effectively restricts the solution space without violating properties of the sought solution. In this work, we attempt to address this problem by constructing a spatio-temporal basis of body surface potentials (BSP) from simulations of many focal excitations. Measured BSPs are projected onto this basis and reconstructions are expressed as linear combinations of corresponding transmembrane voltage (TMV) basis vectors. The novel method was applied to simulations o…

Spatial correlationFocus (geometry)Basis (linear algebra)GeodesicPhysiology0206 medical engineering02 engineering and technology030204 cardiovascular system & hematologyInverse problem020601 biomedical engineeringCorrelation03 medical and health sciences0302 clinical medicinePhysiology (medical)A priori and a posterioriLinear combinationAlgorithmMathematicsFrontiers in Physiology
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Wing morphometrics as a possible tool for the diagnosis of the Ceratitis fasciventris, C. anonae, C. rosa complex (Diptera, Tephritidae)

2015

Abstract Previous attempts to resolve the Ceratitis FAR complex (Ceratitis fasciventris, Ceratitis anonae, Ceratitis rosa, Diptera, Tephritidae) showed contrasting results and revealed the occurrence of five microsatellite genotypic clusters (A, F1, F2, R1, R2). In this paper we explore the potential of wing morphometrics for the diagnosis of FAR morphospecies and genotypic clusters. We considered a set of 227 specimens previously morphologically identified and genotyped at 16 microsatellite loci. Seventeen wing landmarks and 6 wing band areas were used for morphometric analyses. Permutational multivariate analysis of variance detected significant differences both across morphospecies and g…

Species complexInsectaArthropodaDipteraAnimaliarosaTephritidaeCeratitis fasciventrisAnimaliaCeratitisCeratitisBiologyfasciventrisEcology Evolution Behavior and Systematicsintegrative taxonomyMorphometricscryptic speciesWingbiologyEcologyDipteraTephritidaeanonaeCeratitis rosaposterior group membership probabilitywing morphometricsCeratitis rosabiology.organism_classificationCeratitis fasciventrisAnimaliaEvolutionary biologyfruit fliesPrincipal component analysista1181MicrosatellitePosterior Group Membership ProbabilityCeratitis anonaeAnimal Science and ZoologyResearch Article
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What Does Objective Mean in a Dirichlet-multinomial Process?

2017

Summary The Dirichlet-multinomial process can be seen as the generalisation of the binomial model with beta prior distribution when the number of categories is larger than two. In such a scenario, setting informative prior distributions when the number of categories is great becomes difficult, so the need for an objective approach arises. However, what does objective mean in the Dirichlet-multinomial process? To deal with this question, we study the sensitivity of the posterior distribution to the choice of an objective Dirichlet prior from those presented in the available literature. We illustrate the impact of the selection of the prior distribution in several scenarios and discuss the mo…

Statistics and Probability05 social sciencesPosterior probabilityBayesian inference01 natural sciencesDirichlet distributionBinomial distribution010104 statistics & probabilitysymbols.namesake0502 economics and businessStatisticsObjective approachPrior probabilitysymbolsEconometricsMultinomial distribution0101 mathematicsStatistics Probability and UncertaintyBeta distribution050205 econometrics MathematicsInternational Statistical Review
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Bayesian analysis and design for comparison of effect-sizes

2002

Comparison of effect-sizes, or more generally, of non-centrality parameters of non-central t distributions, is a common problem, especially in meta-analysis. The usual simplifying assumptions of either identical or non-related effect-sizes are often too restrictive to be appropriate. In this paper, the effect-sizes are modeled as random effects with t distributions. Bayesian hierarchical models are used both to design and analyze experiments. The main goal is to compare effect-sizes. Sample sizes are chosen so as to make accurate inferences about the difference of effect-sizes and also to convincingly solve the testing of equality of effect-sizes if such is the goal.

Statistics and ProbabilityApplied MathematicsBayesian probabilityPosterior probabilityBayes factorRandom effects modelBlock designSample size determinationPrior probabilityStatisticsStatistics Probability and UncertaintyAlgorithmStatistical hypothesis testingMathematicsJournal of Statistical Planning and Inference
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Asymptotic optimality of myopic information-based strategies for Bayesian adaptive estimation

2016

This paper presents a general asymptotic theory of sequential Bayesian estimation giving results for the strongest, almost sure convergence. We show that under certain smoothness conditions on the probability model, the greedy information gain maximization algorithm for adaptive Bayesian estimation is asymptotically optimal in the sense that the determinant of the posterior covariance in a certain neighborhood of the true parameter value is asymptotically minimal. Using this result, we also obtain an asymptotic expression for the posterior entropy based on a novel definition of almost sure convergence on "most trials" (meaning that the convergence holds on a fraction of trials that converge…

Statistics and ProbabilityAsymptotic analysisMathematical optimizationPosterior probabilityBayesian probabilityMathematics - Statistics TheoryStatistics Theory (math.ST)050105 experimental psychologydifferential entropyDifferential entropyactive data selection03 medical and health sciences0302 clinical medicineactive learningFOS: Mathematics0501 psychology and cognitive sciencescost of observationdecision theoryMathematicsD-optimalityBayes estimatorSequential estimation05 social sciencesBayesian adaptive estimationAsymptotically optimal algorithmConvergence of random variablesasymptotic optimalitysequential estimation030217 neurology & neurosurgery
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Poisson Regression with Change-Point Prior in the Modelling of Disease Risk around a Point Source

2003

Bayesian estimation of the risk of a disease around a known point source of exposure is considered. The minimal requirements for data are that cases and populations at risk are known for a fixed set of concentric annuli around the point source, and each annulus has a uniquely defined distance from the source. The conventional Poisson likelihood is assumed for the counts of disease cases in each annular zone with zone-specific relative risk and parameters and, conditional on the risks, the counts are considered to be independent. The prior for the relative risk parameters is assumed to be piecewise constant at the distance having a known number of components. This prior is the well-known cha…

Statistics and ProbabilityBayes estimatorPoint sourcePosterior probabilityGeneral MedicineConditional probability distributionPoisson distributionsymbols.namesakePrior probabilityStatisticssymbolsPoisson regressionStatistics Probability and UncertaintyGibbs samplingMathematicsBiometrical Journal
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