A5006209994- Plant Pathogens and Fungal Diseases
- Gene Regulatory Network Analysis
- COVID-19 epidemiological studies
- Bioinformatics and Genomic Networks
- Plant Disease Management Techniques
- Optical Network Technologies
- Evolution and Genetic Dynamics
- Ruminant Nutrition and Digestive Physiology
- SARS-CoV-2 and COVID-19 Research
- Vaccine Coverage and Hesitancy
- Plant Physiology and Cultivation Studies
- Flowering Plant Growth and Cultivation
- Advanced Photonic Communication Systems
- Advanced Biosensing Techniques and Applications
- Semiconductor Lasers and Optical Devices
- Photonic and Optical Devices
- Agriculture and Rural Development Research
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Mathematical Biology Tumor Growth
- Markov Chains and Monte Carlo Methods
- Effects of Environmental Stressors on Livestock
- Pharmaceutical and Antibiotic Environmental Impacts
- Botanical Studies and Applications
- Data-Driven Disease Surveillance
University of Perugia
2006-2022
Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche
2008
Fondazione "Ugo Bordoni"
1999-2002
Laboratoire Physiologie Cellulaire & Végétale
1977-1996
When treating patients with Autism Spectrum Disorder (ASD) the doctor-patient relationship can be very challenging. The dentist is often forced to work under general anaesthesia or conscious sedation. Children ASD are an increased risk of caries due poor oral hygiene, a cariogenic diet and use xerostomal drugs. In this therapeutic strategies used treat kind evaluated new method children presented in order increase awareness about condition dental field.The Atlas Center (a non-profit...
From the end of 2020, different vaccines against COVID-19 have been approved, offering a glimmer hope and relief worldwide. However, in late new cases severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started to re-surge, worsened by emergence highly infectious variants. To study this scenario, we extend Susceptible-Exposed-Infectious-Removed model with lockdown measures used our previous work inclusion lineages mass vaccination campaign. We estimate parameters using Bayesian...
We report the first demonstration of compensation optical-fiber dispersion using mid-span spectral inversion without frequency shift by a two-pump four-wave-mixing configuration. achieve 120 km penalty-free transmission at 2.5 Gb/s over standard single-mode fiber directly modulated distributed-feedback laser.
This work was undertaken to assess the long-term impacts of a ruminal transponder, used for electronic identification, on motility and health performance cattle, as well study electromagnetic effects bacteria in vitro. A passive transponder (51.4 g, 67 x 17 mm) delivered into forestomachs 8 calves, 32 bulls, 10 heifers, 40 dairy cows. Final readability 87.5% 96.9% 90% 100% cows at 481, 360, 650, 601 d, respectively, after administration. The did not affect production or reproduction over...
In computational mathematical modeling of biological systems, most model parameters, such as initial conditions, kinetics, and scale factors, are usually unknown because they cannot be directly measured. Therefore, key issues in system identification nonlinear systems calibration identifiability analysis. Currently, existing methodologies for parameter estimation divided two classes: frequentist Bayesian methods. The first optimize a cost function, while the second estimate posterior...
Mathematical modelling is a widely used technique for describing the temporal behaviour of biological systems. One most challenging topics in computational systems biology calibration non-linear models; i.e. estimation their unknown parameters. The state-of-the-art methods this field are frequentist and Bayesian approaches. For both them, performance accuracy results greatly depend on sampling employed. Here, authors test novel procedure parameter estimation, called conditional robust (CRC),...
Roe deer (Capreolus capreolus), fallow (Dama dama) and mouflon (Ovis musimon) are among the most common wild ungulates in Italy frequently their home ranges overlap. Despite fact that roe is classified as concentrate selector (Hofmann, 1989) mouflons intermediate grass eater, respectively, composition of diet can be affected by other factors such geographical area plant communities distribution availability
In cancer research, robustness of a complex biochemical network is one the most relevant properties to investigate for development novel targeted therapies. systems biology, biological networks are typically modeled through Ordinary Differential Equation (ODE) models. Hence, analysis consists in quantifying how much temporal behavior specific node influenced by perturbation model parameters. The Conditional Robustness Algorithm (CRA) valuable methodology perform on selected output variable,...
This study started from the request of providing predictions on hospitalization and Intensive Care Unit (ICU) rates that are caused by COVID-19 for Umbria region in Italy. To this purpose, we propose application a computational framework to SEIR-type (Susceptible, Exposed, Infected, Removed) epidemiological model describing different stages infection. The discriminates between asymptomatic symptomatic cases it takes into account possible intervention measures order reduce probability...
Polyunsaturated fatty acids affect bacterial and protozoal population, inducing important modifications in rumen metabolism. The aim of this study was to investigate the effect linseed extrusion on situ ruminal degradability microbial number distribution. Six ruminally fistulated sheep were divided 3 groups fed one following diets according a replicated Latin square design: (a) control, based mixed hay maize grains; (b) as plus 130 g grounded raw linseed; (c) except that extruded. Extrusion...
Computational modeling is a common tool to quantitatively describe biological processes. However, most model parameters are usually unknown because they cannot be directly measured. Therefore, key issue in Systems Biology calibration, i.e. estimate from experimental data. Existing methodologies for parameter estimation divided two classes: frequentist and Bayesian methods. The first ones optimize cost function while the second posterior distribution through different sampling techniques....
In this work high throughput technology and computational analysis were used to study two stage IV lung adenocarcinoma patients treated with standard chemotherapy markedly different survival (128 months vs 6 months, respectively) whose tumor samples exhibit a dissimilar protein activation pattern of the signal transduction. Tumor subjected Reverse Phase Protein Microarray (RPPA) explore expression/activation levels 51 signaling proteins. We selected most divergent proteins based on ratio...
In Italy, the beginning of 2021 was characterized by emergence new variants SARS-CoV-2 and availability effective vaccines that contributed to mitigation non-pharmaceutical interventions avoidance hospital collapse.We analyzed COVID-19 propagation in Italy starting from September with a Susceptible-Exposed-Infected-Recovered (SEIR) model takes into account lineages, intervention measures efficacious vaccines. The calibrated Bayesian method Conditional Robust Calibration (CRC) using data 2020...
Abstract Computational modeling is a remarkable and common tool to quantitatively describe biological process. However, most model parameters, such as kinetics initial conditions scale factors, are usually unknown because they cannot be directly measured. Therefore, key issues in Systems Biology calibration identifiability analysis, i.e. estimate parameters from experimental data assess how well those determined by the dimension quality of data. Currently communities, existing methodologies...
Italy was the first European country severely hit by COVID-19 pandemic. In late February and March 2020, number of people requiring hospitalization mechanical ventilation has soared, putting a strain on Italian health system. absence pharmaceuticals therapies, government implemented set mobility restrictions for transmission containment. Starting from need predicting ICU rates Umbria region in Italy, we propose application computational framework to model epidemic analyze effects imposed...
Abstract Computational modeling is a common tool to quantitatively describe biological processes. However, most model parameters are usually unknown because they cannot be directly measured. Therefore, key issue in Systems Biology calibration, i.e. estimate from experimental data. Existing methodologies for parameter estimation divided two classes: frequentist and Bayesian methods. The first ones optimize cost function while the second posterior distribution through different sampling...
We report the first system demonstration of dispersion compensation using mid-span spectral inversion without frequency shift. By a two-pump four wave mixing (FWM) scheme, we achieve 120-km penalty-free transmission at 2.5 Gbit/s over standard single-mode fiber directly modulated DFB source.