A5052950997- Quantum chaos and dynamical systems
- Mathematical Dynamics and Fractals
- Theoretical and Computational Physics
- Stochastic processes and statistical mechanics
- Fractal and DNA sequence analysis
- Authorship Attribution and Profiling
- Natural Language Processing Techniques
- Topic Modeling
- Complex Systems and Time Series Analysis
- Spectral Theory in Mathematical Physics
- Molecular spectroscopy and chirality
- Machine Learning in Bioinformatics
- Statistical Mechanics and Entropy
- Complex Network Analysis Techniques
- Chaos control and synchronization
- Advanced Thermodynamics and Statistical Mechanics
- Diffusion and Search Dynamics
- Cellular Automata and Applications
- RNA and protein synthesis mechanisms
- Quantum Mechanics and Applications
- Markov Chains and Monte Carlo Methods
- Linguistic Studies and Language Acquisition
- Influenza Virus Research Studies
- Video Analysis and Summarization
- Music Technology and Sound Studies
University of Bologna
2013-2024
Istituto Nazionale di Fisica Nucleare, Sezione di Bologna
2024
Zambon (Italy)
2020
Georgia Institute of Technology
2000
The complexity of human interactions with social and natural phenomena is mirrored in the way we describe our experiences through language. In order to retain convey such a high dimensional information, statistical properties linguistic output has be highly correlated time. An example are robust observations, still largely not understood, correlations on arbitrary long scales literary texts. this paper explain how long-range flow from structured levels down building blocks text (words,...
Long Short-Term Memory (LSTM) networks have recently shown remarkable performance in several tasks dealing with natural language generation, such as image captioning or poetry composition. Yet, only few works analyzed text generated by LSTMs order to quantitatively evaluate which extent artificial texts resemble those humans. We compared the statistical structure of LSTM-generated that written language, and produced Markov models various orders. In particular, we characterized assessing...
Abstract Background Herpes Zoster is an age dependent disease and as such it represents a problem in the Italian social context, where demographic curve characterized by overrepresentation of elderly population. Vaccines against are available, safe effective, however coverage remains sub-optimal. This study was therefore conducted to examine variations vaccine uptake confidence across different regions Italy. Methods utilized cross-sectional computer-assisted web interview (CAWI)...
Abstract Background Streptococcus pneumoniae infections, including Invasive Pneumococcal Diseases (IPDs), pose a substantial public health challenge, causing significant morbidity and mortality, especially among children older adults. Vaccination campaigns have played vital role in reducing pneumococcal-related deaths. However, obstacles related to accessibility awareness might impede optimal vaccine adoption. This study aims provide comprehensive data on pneumococcal coverage attitudes...
Influenza annually claims an estimated 8,000 lives in Italy. Despite no-cost vaccinations for high-risk groups, hesitancy persists. This study aims to pinpoint social and behavioral vaccination determinants, forming strategies bolster vaccine uptake. From April 11 May 29, 2022, we surveyed a demographic-stratified sample of 10,000 Italian adults, employing the WHO's Behavioral Social Drivers Vaccination (BesD) framework. Of those, 4,613 (46.1%) were eligible influenza included analysis....
In this paper we discuss a novel mathematical approach to authorship attribution which implemented recently face concrete problem of author recognition. The fundamental ideas for our methods came from statistical mechanics and information theory. We combine two approaches. Both them use similarity measures between couples texts as indicators stylistic closeness: the first one is based on comparison frequencies fixed length substrings (n-grams) throughout texts; second relies suitable...
Biologists have long sought a way to explain how statistical properties of genetic sequences emerged and are maintained through evolution. On the one hand, non-random structures at different scales indicate complex genome organisation. other single-strand symmetry has been scrutinised using neutral models in which correlations not considered or irrelevant, contrary empirical evidence. Different studies investigated these two features separately, reaching minimal consensus despite sustained...
Understanding human mobility from a microscopic point of view may represent fundamental breakthrough for the development statistical physics cognitive systems and it can shed light on applicability macroscopic laws social systems.Even if complexity individual behaviors prevents true approach, introduction mesoscopic models allows study dynamical properties non-stationary states considered system.We propose to compute various entropy measures patterns obtained GPS data that record movements...
The Sparre-Andersen theorem is a remarkable result in one-dimensional random walk theory concerning the universality of ubiquitous first-passage-time distribution. It states that probability distribution $\rho_n$ number steps needed for walker starting at origin to land on positive semi-axes does not depend details jumps walker, provided this symmetric and continuous, where particular $\rho_n \sim n^{-3/2}$ large $n$. On other hand, there are many physical situations which time spent by...