Francesca Marzi

ORCID: 0009-0009-9129-9231
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About
Contact & Profiles
Research Areas
  • COVID-19 and healthcare impacts
  • Complexity and Algorithms in Graphs
  • COVID-19 Clinical Research Studies
  • Optimization and Search Problems
  • Gender and Technology in Education
  • Algorithms and Data Compression
  • Ethics and Social Impacts of AI
  • Parallel Computing and Optimization Techniques
  • Open Source Software Innovations
  • Machine Learning and Data Classification
  • Advanced Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Online Learning and Analytics
  • Computational Geometry and Mesh Generation
  • COVID-19 Pandemic Impacts
  • Health Promotion and Cardiovascular Prevention
  • Artificial Intelligence in Healthcare and Education
  • Criminal Justice and Corrections Analysis
  • Explainable Artificial Intelligence (XAI)
  • Gender Studies in Language
  • Advanced Graph Theory Research
  • Advanced Control Systems Optimization
  • semigroups and automata theory
  • Optimization and Packing Problems
  • Statistical Mechanics and Entropy

University of L'Aquila
2016-2024

Following the pandemic scenario, researchers from all over world, including Italians, have undertaken fervent research activity using epidemiological data available on sites of government and national international institutes. The objectives our study were: (1) to analyze load trend COVID-19 in Italy, beginning October 2021; (2) vaccination coverage by age groups types vaccines administered check how campaign has influenced course disease deaths; (3) evaluate Italian situation European...

10.3390/ijerph19010496 article EN International Journal of Environmental Research and Public Health 2022-01-03

Gender gap in education has gained considerable attention recent years, as it carries profound implications for the academic community. However, while problem been tackled from a student perspective, research is still lacking an point of view. In this work, our main objective to address unexplored area by shedding light on intricate dynamics gender within Software Engineering (SE) To aim, we first review how SE community and academia addressed literature so far. Results show that men build...

10.1016/j.jss.2024.112162 article EN cc-by Journal of Systems and Software 2024-07-23

The presence of multiple chronic diseases is associated with an increase in mortality when related to COVID-19 infection.(i) evaluate the association between severity disease, defined as symptomatic hospitalized prison or out prison, and one more comorbidities two prisons central Italy: L'Aquila Sulmona; (ii) describe profiles inmates using correspondence analysis (MCA).A database was created including age, gender clinical variables. containing anonymized data password-protected....

10.3390/ijerph20043079 article EN International Journal of Environmental Research and Public Health 2023-02-09

The goal of radiotherapy is to cover a target area with desired radiation dose while keeping the exposition non-target areas as low possible in order reduce side effects. In case Intensity Modulated Proton Therapy (IMPT), distribution typically designed via treatment planning optimisation process based on classical  optimisation algorithms some objective functions.We investigate problem under point view Theory Complexity general and, particular, Combinatorial Optimisation Theory. We...

10.3934/medsci.2018.3.204 article EN cc-by AIMS Medical Science 2018-01-01

By the mid-20th century, cardiovascular disease (CVD) had become an important cause of mortality and morbidity in developed countries. The aim was to set up a pilot study screen citizens aged 45-59 order identify modifiable risk factors (RFs).Our conducted from February 2019 2020 on population central Italy, 45-59, contacted by letter. variables evaluated were lipid profile, glycemia, anthropometric parameters, lifestyle utility screening.It is underline that comparison with Italian national...

10.3390/healthcare11101473 article EN cc-by Healthcare 2023-05-18

10.1016/j.tcs.2017.02.019 article EN publisher-specific-oa Theoretical Computer Science 2017-03-02

Reproducibility is a crucial aspect of scientific research that involves the ability to independently replicate experimental results by analysing same data or repeating experiment. Over years, many works have been proposed make experiments actually reproducible. However, very few address importance reproducibility, defined as independent researchers retain dataset used input for experimentation. Properly addressing problem reproducibility because often just providing link not enough In fact,...

10.48550/arxiv.2304.05767 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01

Population Medicine considers the following types of articles:• Research Papers -reports data from original research or secondary dataset analyses.• Review -comprehensive, authoritative, reviews within journal's scope.These include both systematic and narrative reviews.• Short Reports -brief reports research.• Policy Case Studies articles on policy development at a regional national level.• Study Protocols -articles describing protocol study.• Methodology -papers that present different...

10.18332/popmed/164527 article EN cc-by-nd Population Medicine 2023-04-26

In this paper we consider the weighted $k$-Hamming and $k$-Edit distances, that are natural generalizations of classical Hamming Edit distances. As main results prove for any $k\geq 2$ DECIS-$k$-Hamming problem is $\mathbb{P}$-SPACE-complete DECIS-$k$-Edit NEXPTIME-complete.

10.48550/arxiv.2306.09144 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Nowadays, physicians have at their hands a huge amount of data produced by large set diagnostic and instrumental tests integrated with obtained high-throughput technologies. If such were opportunely linked analysed, they might be used to strengthen predictions, so that improve the prevention time-to-diagnosis, reduce costs health system, bring out hidden knowledge. Machine learning is principal technique nowadays leverage gain useful information. However, it has led various challenges, as...

10.1109/cbms58004.2023.00222 article EN 2023-06-01

The problem of predicting the training time machine learning (ML) models has become extremely relevant in scientific community. Being able to predict a priori an ML model would enable automatic selection best both terms energy efficiency and performance context of, for instance, MLOps architectures. In this paper, we present work are conducting towards direction. particular, extensive empirical study Full Parameter Time Complexity (FPTC) approach by Zheng et al., which is, our knowledge,...

10.48550/arxiv.2309.11226 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Gender bias in education gained considerable relevance the literature over years. However, while problem of gender has been widely addressed from a student perspective, it is still not fully analysed an academic point view. In this work, we study promotions (i.e., Researcher to Associated Professor and Full Professor) informatics (INF) software engineering (SE) Italian communities. particular, first conduct review assess how academia so far. Next, describe process collect preprocess INF SE...

10.48550/arxiv.2309.11239 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.4632660 preprint EN 2023-01-01

Abstract Background During SARS-CoV-2 pandemic, various studies have shown a significant reduction of Emergency Department (ED) presentations for acute cardiac diseases requiring in-hospital management. The aim our study was to quantify hospital admission and mortality, comparing pandemic period pre-pandemic in different countries. Methods We performed an updated meta-analysis observational on large basis the impact outbreak patients admitted ED STEMI NSTEMI. literature research conducted...

10.1093/eurpub/ckac131.206 article EN cc-by European Journal of Public Health 2022-10-01
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