Search results for "informatica"

ON-LINE CONSTRUCTION OF A SMALL AUTOMATON FOR A FINITE SET OF WORDS

2012

In this paper we describe a "light" algorithm for the on-line construction of a small automaton recognising a finite set of words. The algorithm runs in linear time. We carried out good experimental results on real dictionaries, on biological sequences and on the sets of suffixes (resp. factors) of a set of words that shows how our automaton is near to the minimal one. For the suffixes of a text, we propose a modified construction that leads to an even smaller automaton. We moreover construct linear algorithms for the insertion and deletion of a word in a finite set, directly from the constructed automaton.

Influence on the transient evoked otoacoustic emission by GSM 915 MHz electromagnetic fields: comparative analysis between control and exposed groups

2006

Archaeometric characterization and 3D survey: new perspectives for monitoring and valorization of Morgantina silver Treasure (Sicily)

2015

The Morgantina silver Treasure belonging to the collections of the Archaeological Museum of Aidone (Sicily) were involved in a 3D survey and diagnostics campaign for monitoring over time of the finds, in anticipation of their temporary transfer to the Metropolitan Museum of Art in New York, for a period of four years. According to a multidisciplinary approach, it has been developed a scientific and methodological protocol based on non-invasive techniques to achieve a complete and integrated knowledge of the precious items, of their conservation state and increasing their valorisation. All acquired data, i.e. 3D models, UV fluorescence and X-Ray images and chemical information, will be made …

Mathematics and Musical Entropy

2020

Arts can provide intuitive examples to enhance the understanding of complex mathematical concepts. Also, mathematics can give precise answers to musical questions that can be raised during the analysis of works of art including musical scores. If musical parameters and mathematical objects are seen as belonging to categories, analysis becomes a dialogue and a mapping between them. This paper develops an idea of “open” musicology that exploits suggestions and contaminations with other research areas, first of all from mathematics and the mathematical formalism behind physics. The focus is on the concept of entropy joined with Discrete Fourier Transforms (DFT), that can be extended to the def…

Machine Learning Models for Measuring Syntax Complexity of English Text

2019

In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.

NeuronAlg: An Innovative Neuronal Computational Model for Immunofluorescence Image Segmentation

2023

Background: Image analysis applications in digital pathology include various methods for segmenting regions of interest. Their identification is one of the most complex steps and therefore of great interest for the study of robust methods that do not necessarily rely on a machine learning (ML) approach. Method: A fully automatic and optimized segmentation process for different datasets is a prerequisite for classifying and diagnosing indirect immunofluorescence (IIF) raw data. This study describes a deterministic computational neuroscience approach for identifying cells and nuclei. It is very different from the conventional neural network approaches but has an equivalent quantitative and qu…

On the viability of an algebraic approach to non-monotonic reasoning

1996

Wiener-Granger Causality in Network Physiology with Applications to Cardiovascular Control and Neuroscience

2016

Since the operative definition given by C. W. J. Granger of an idea expressed by N. Wiener, the Wiener–Granger causality (WGC) has been one of the most relevant concepts exploited by modern time series analysis. Indeed, in networks formed by multiple components, working according to the notion of segregation and interacting with each other according to the principle of integration, inferring causality has opened a window on the effective connectivity of the network and has linked experimental evidences to functions and mechanisms. This tutorial reviews predictability improvement, information-based and frequency domain methods for inferring WGC among physiological processes from multivariate…

Respiratory Sinus Arrhythmia Mechanisms in Young Obese Subjects

2020

Autonomic nervous system (ANS) activity and imbalance between its sympathetic and parasympathetic components are important factors contributing to the initiation and progression of many cardiovascular disorders related to obesity. The results on respiratory sinus arrhythmia (RSA) magnitude changes as a parasympathetic index were not straightforward in previous studies on young obese subjects. Considering the potentially unbalanced ANS regulation with impaired parasympathetic control in obese patients, the aim of this study was to compare the relative contribution of baroreflex and non-baroreflex (central) mechanisms to the origin of RSA in obese vs. control subjects. To this end, we applied…

Partial Information Decomposition of Brain-Heart Interactions in Temporal Lobe Epilepsy in the Childhood

We apply information decomposition methods to elicit unique, redundant and synergistic causal contributions of ipsilateral and contralateral EEG activity to heart rate dynamics in epileptic children. We find that information flows from brain to heart according to opposite lateralization effects for the delta and alpha rhythms, suggesting that different neuroautonomic mechanisms take place in the pre- and post-ictal phases of temporal lobe seizures.