1,721,355 research outputs found
TIME-FREQUENCY DSP TO IDENTIFY MODAL PARAMETERS UNDER NON-STATIONARY AMBIENT EXCITATION. APPLICATION TO REAL STRUCTURES
No full textThe Molecular Neuroimaging of Tremor
No full textPurpose of Review: Tremor is a hyperkinetic movement disorder most commonly encountered in essential tremor (ET) and Parkinson’s disease (PD). The purpose of this review is to summarize molecular neuroimaging studies with major implications on pathophysiological and clinical features of tremor. Recent Findings: Oscillatory brain activity responsible for tremor manifestation is thought to originate in a cerebello-thalamo-cortical network. Molecular neuroimaging has helped clarify metabolic aspects and neurotransmitter influences on the main tremor network. In ET, recent positron emission tomography (PET) studies are built on previous knowledge and highlighted the possibility of investigating metabolic brain changes after treatments, in the attempt to establish therapeutic biomarkers. In PD, molecular neuroimaging has advanced the knowledge of non-dopaminergic determinants of tremor, providing insights into serotonergic and noradrenergic contributions. Summary: Recent advances have greatly extended the knowledge of tremor pathophysiology and it is now necessary to translate such knowledge in more efficacious treatments for this symptom
Sons of a minor god. Immigrant children victims of violence and exploitation
No full textThe current migration crisis in Europe represents a huge challenge for European governments nowadays. Particularly the Mediterranean countries, and mainly Italy, receive significant flows of migrants. The rate of migrant minors (children and adolescents) included in these migratory waves has grown sensitively during the last years and Unaccompanied Migrant Minors (UMMs) represent a vulnerable target at higher risk of loss, trauma, disappearance, child traffic, PSTD, emotional disorders, deviant behaviors. In this field, SOS II Telefono Azzurro Onlus (no-profit organization) runs the 116 000 hotline for missing children in Italy, promote an advocate and integrative mental-health child- centered approach for counteracting the typical risks to which UMMs' are exposed to. The main aim is to promote a full integration of those children in the hosting countries thanks to a life-project approach
Including structural monitoring activities in safety probabilisticformulations and generalized cost evaluation.
No full textDynamic Identification of Large Thin Shell Structures in Concrete
Full text linkThe paper presents the results of a recent testing campaign carried out on the vaulted structures built by Pier
Luigi Nervi in Torino Esposizioni. Nervi’s halls are a spatial structure masterpiece, admired for their daring and innovative conception. The technological achievements of the 20th century have allowed conceiving unprecedented large
scale and complex structures. However, the experimental nature of numerous innovative structural and spatial configurations adopted by the designers of the time have revealed over time intrinsic fragilities that, when neglected, have
threatened their long-term structural integrity.
In addition, 20th century’s structures were usually conceived without accounting for seismic actions, but only for
static configurations, in accordance with the technical standards of the time. Therefore, it is of crucial importance to assess the dynamic behavior of these structures to understand their vulnerability and plan their correct preservation
measures.
Due to its complex configuration, the setup of dynamic testing campaign for Hall B built by Nervi presented many
challenges, including: i) the complex optimization problems due to the spatial characters of the vaulted structure; ii) the
possible effects of damage degradation or anomalies.
The aims of this investigation were to investigate the behavior of historical spatial structures to seismic actions; and
to detect the presence of possible structural anomalies
A domain adaptation methodology for enhancing the classification of structural condition states in continuously monitored historical domes
Full text linkThe unavailability of labeled data has always been the main limitation of data-driven solutions for monitoring the health state of full-scale structures. In this area, domain adaptation (DA) solutions have occasionally been proposed in recent years, which allow the sharing of data sets between distinct but similar systems. This paper presents a novel computational methodology to evaluate the condition state of historical buildings subjected to continuous monitoring. The DA method, specifically transfer component analysis, is used to maintain correlations between two data domains with low relevance, thereby improving the accuracy of classification models. Additionally, it is shown that the kernelized Bayesian transfer learning can enhance classification accuracy beyond what is achievable with a support vector machine. The paper is completed with a real-world application to the classification of data sets from two Italian Baroque churches, both characterized by imposing oval masonry domes, but equipped with very different monitoring systems
“Functional and constructive constraints in restoration design of buildings located in seismic areas: the case study of villa Lamonica in Apulia”
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