10 research outputs found
Volcanology and magma geochemistry of the present day activity: constraints on the feeding system
Stromboli volcano is famous in the scientific literature for its persistent state of activity, which began about 1500 years ago and consists of continuous degassing and mild intermittent explosions (normal Strombolian activity). Rare lava emissions and sporadic more violent explosive episodes (paroxysms) also occur. Since its formation, the present-day activity has been dominated by the emission of two basaltic magmas, differing chiefly in their crystal and volatile contents, whose characteristics have remained constant until now. The normal Strombolian activity and lava effusions are fed by a crystal-rich, degassed magma, stored within the uppermost part of the plumbing system, whereas highly vesicular, crystal-poor light-colored pumices are produced during paroxysms testifying to the ascent of volatile-rich magma batches from deeper portions of the magmatic system. Mineralogical, geochemical, and isotopic data, together with data on the volatile contents of magmas, are presented here with the aim of discussing (1) the relationships between the different magma batches erupted at Stromboli, (2) the mechanisms of their crystallization and transfer, (3) the plumbing system and triggering mechanisms of Strombolian eruptions.Unpublished203.5. Geologia e storia dei sistemi vulcanici4.3. TTC - Scenari di pericolositĂ vulcanicareserve
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals
Artificial Intelligence-based (AI) analysis of large, curated medical
datasets is promising for providing early detection, faster diagnosis, and more
effective treatment using low-power Electrocardiography (ECG) monitoring
devices information. However, accessing sensitive medical data from diverse
sources is highly restricted since improper use, unsafe storage, or data
leakage could violate a person's privacy. This work uses a Federated Learning
(FL) privacy-preserving methodology to train AI models over heterogeneous sets
of high-definition ECG from 12-lead sensor arrays collected from six
heterogeneous sources. We evaluated the capacity of the resulting models to
achieve equivalent performance compared to state-of-the-art models trained in a
Centralized Learning (CL) fashion. Moreover, we assessed the performance of our
solution over Independent and Identical distributed (IID) and non-IID federated
data. Our methodology involves machine learning techniques based on Deep Neural
Networks and Long-Short-Term Memory models. It has a robust data preprocessing
pipeline with feature engineering, selection, and data balancing techniques.
Our AI models demonstrated comparable performance to models trained using CL,
IID, and non-IID approaches. They showcased advantages in reduced complexity
and faster training time, making them well-suited for cloud-edge architectures.Comment: Preprint of International Symposium on Algorithmic Aspects of Cloud
Computing (ALGOCLOUD) 202
Recommendations for the rehabilitation of children with cerebral palsy
The SINPIA-SIMFER(Italian Society of Child and Adolescent Neuropsychiatry-Italian Society of Physical Medicine and Rehabilitation) Intersociety Commission was set up in December 2000 and is composed of members from both scientific societies, who are experts in the field of rehabilitation of patients with cerebral palsy (CP). In accordance with the indications of the Italian Health Ministry's Planning Department, in 1999 this Commission was entrusted with the task of drawing up "Guidelines for the Rehabilitation of Children Affected by Cerebral Palsy", and to successively revise and update it every five years. The present document is a summary of the latest update, drawn up through meetings of the Intersociety Commission, held in 2012 and 2013, and discussed and approved at the annual SINPIA-SIMFERmeeting held in Brindisi in October 2013. The current version of the Recommendations extends and updates the previous one, also addressing new areas of intervention and adding some in-depth analysis. The document as a whole is not so much a proposal for treatment updated on the basis of advancing knowledge in the field of rehabilitation of CP, as a presentation of the method that should be applied by professionals seeking to define the most appropriate intervention and treatment strategies. The text is the offspring of a process of careful exchanges, which have been conducted in a collegial and collaborative fashion among professionals working in different fields (rehabilitation medicine and child neuropsychiatry) and in healthcare settings at different levels (ranging from first-level local settings to third-level national ones) and of different types (affiliated outpatient clinics and centers, local health authorities, hospitals, "IRCCS" research hospitals, universities)