LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 51

Search options

  1. Article ; Online: Synchronizing network systems in the presence of limited resources via edge snapping.

    Corso, Alessandra / Gambuzza, Lucia Valentina / De Lellis, Pietro / Frasca, Mattia

    Chaos (Woodbury, N.Y.)

    2023  Volume 33, Issue 1, Page(s) 13123

    Abstract: In this work, we propose a multilayer control protocol for the synchronization of network dynamical systems under limited resources. In addition to the layer where the interactions of the system take place, i.e., the backbone network, we propose a second, ...

    Abstract In this work, we propose a multilayer control protocol for the synchronization of network dynamical systems under limited resources. In addition to the layer where the interactions of the system take place, i.e., the backbone network, we propose a second, adaptive layer, where the edges are added or removed according to the edge snapping mechanism. Different from classic edge snapping, the inputs to the edge dynamics are modified to cap the number of edges that can be activated. After studying the local stability of the overall network dynamics, we illustrate the effectiveness of the approach on a network of Rössler oscillators and then show its robustness in a more general setting, exemplified with a model of the Italian high-voltage power grid.
    Language English
    Publishing date 2023-01-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1472677-4
    ISSN 1089-7682 ; 1054-1500
    ISSN (online) 1089-7682
    ISSN 1054-1500
    DOI 10.1063/5.0093560
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Emergence and Control of Synchronization in Networks with Directed Many-Body Interactions.

    Della Rossa, Fabio / Liuzza, Davide / Lo Iudice, Francesco / De Lellis, Pietro

    Physical review letters

    2023  Volume 131, Issue 20, Page(s) 207401

    Abstract: The emergence of collective behaviors in networks of dynamical units in pairwise interaction has been explained as the effect of diffusive coupling. How does the presence of higher-order interaction impact the onset of spontaneous or induced synchronous ... ...

    Abstract The emergence of collective behaviors in networks of dynamical units in pairwise interaction has been explained as the effect of diffusive coupling. How does the presence of higher-order interaction impact the onset of spontaneous or induced synchronous behavior? Inspired by actuation and measurement constraints typical of physical and engineered systems, we propose a diffusion mechanism over hypergraphs that explains the onset of synchronization through a clarifying analogy with signed graphs. Our findings are mathematically backed by general conditions for convergence to the synchronous state.
    Language English
    Publishing date 2023-12-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.131.207401
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: A model-based opinion dynamics approach to tackle vaccine hesitancy.

    Ancona, Camilla / Iudice, Francesco Lo / Garofalo, Franco / De Lellis, Pietro

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 11835

    Abstract: Uncovering the mechanisms underlying the diffusion of vaccine hesitancy is crucial in fighting epidemic spreading. Toward this ambitious goal, we treat vaccine hesitancy as an opinion, whose diffusion in a social group can be shaped over time by the ... ...

    Abstract Uncovering the mechanisms underlying the diffusion of vaccine hesitancy is crucial in fighting epidemic spreading. Toward this ambitious goal, we treat vaccine hesitancy as an opinion, whose diffusion in a social group can be shaped over time by the influence of personal beliefs, social pressure, and other exogenous actions, such as pro-vaccine campaigns. We propose a simple mathematical model that, calibrated on survey data, can predict the modification of the pre-existing individual willingness to be vaccinated and estimate the fraction of a population that is expected to adhere to an immunization program. This work paves the way for enabling tools from network control towards the simulation of different intervention plans and the design of more effective targeted pro-vaccine campaigns. Compared to traditional mass media alternatives, these model-based campaigns can exploit the structural properties of social networks to provide a potentially pivotal advantage in epidemic mitigation.
    MeSH term(s) Attitude ; Epidemics/prevention & control ; Vaccination ; Vaccination Hesitancy ; Vaccines
    Chemical Substances Vaccines
    Language English
    Publishing date 2022-07-12
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-15082-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article: Quantifying the role of the COVID-19 pandemic in the 2020 U.S. presidential elections.

    De Lellis, Pietro / Ruiz Marín, Manuel / Porfiri, Maurizio

    The European physical journal. Special topics

    2021  Volume 231, Issue 9, Page(s) 1635–1643

    Abstract: In the media, a prevalent narrative is that the incumbent United States President Donald J. Trump lost the 2020 elections because of the way he handled the COVID-19 pandemic. Quantitative evidence to support this narrative is, however, limited. We put ... ...

    Abstract In the media, a prevalent narrative is that the incumbent United States President Donald J. Trump lost the 2020 elections because of the way he handled the COVID-19 pandemic. Quantitative evidence to support this narrative is, however, limited. We put forward a spatial, information-theoretic approach to critically examine the link between voting behavior and COVID-19 incidence in the 2020 presidential elections. The approach overcomes classical limitations of traditional regression analysis, where it does not require an underlying mathematical model and it can capture nonlinear interactions. From the analysis of county-level data, we uncovered a robust association between voting behavior and prevalence of COVID-19 cases. Surprisingly, such an association points in the opposite direction from the accepted narrative: in counties that experienced less COVID-19 cases, the incumbent President lost more ground to his opponent, now President Joseph R. Biden Jr. A tenable explanation of this observation is the different attitude of liberal and conservative voters toward the pandemic, which led to more COVID-19 spreading in counties with a larger share of republican voters.
    Language English
    Publishing date 2021-10-28
    Publishing country France
    Document type Journal Article
    ZDB-ID 2267176-6
    ISSN 1951-6401 ; 1951-6355
    ISSN (online) 1951-6401
    ISSN 1951-6355
    DOI 10.1140/epjs/s11734-021-00299-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Inferring directional interactions in collective dynamics

    Pietro De Lellis / Manuel Ruiz Marín / Maurizio Porfiri

    Journal of Physics: Complexity, Vol 4, Iss 1, p

    a critique to intrinsic mutual information

    2022  Volume 015001

    Abstract: Pairwise interactions are critical to collective dynamics of natural and technological systems. Information theory is the gold standard to study these interactions, but recent work has identified pitfalls in the way information flow is appraised through ... ...

    Abstract Pairwise interactions are critical to collective dynamics of natural and technological systems. Information theory is the gold standard to study these interactions, but recent work has identified pitfalls in the way information flow is appraised through classical metrics—time-delayed mutual information and transfer entropy. These pitfalls have prompted the introduction of intrinsic mutual information to precisely measure information flow. However, little is known regarding the potential use of intrinsic mutual information in the inference of directional influences to diagnose interactions from time-series of individual units. We explore this possibility within a minimalistic, mathematically tractable leader–follower model, for which we document an excess of false inferences of intrinsic mutual information compared to transfer entropy. This unexpected finding is linked to a fundamental limitation of intrinsic mutual information, which suffers from the same sins of time-delayed mutual information: a thin tail of the null distribution that favors the rejection of the null-hypothesis of independence.
    Keywords information flow ; statistical inference ; intrinsic mutual information ; transfer entropy ; time-series analysis ; collective behavior ; Science ; Q ; Physics ; QC1-999
    Subject code 306
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher IOP Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  6. Article: Modeling Frequency Reduction in Human Groups Performing a Joint Oscillatory Task.

    Calabrese, Carmela / Bardy, Benoît G / De Lellis, Pietro / di Bernardo, Mario

    Frontiers in psychology

    2022  Volume 12, Page(s) 753758

    Abstract: In human groups performing oscillatory tasks, it has been observed that the frequency of participants' oscillations reduces when compared to that acquired in solo. This experimental observation is not captured by the standard Kuramoto oscillators, often ... ...

    Abstract In human groups performing oscillatory tasks, it has been observed that the frequency of participants' oscillations reduces when compared to that acquired in solo. This experimental observation is not captured by the standard Kuramoto oscillators, often employed to model human synchronization. In this work, we aim at capturing this observed phenomenon by proposing three alternative modifications of the standard Kuramoto model that are based on three different biologically-relevant hypotheses underlying group synchronization. The three models are tuned, validated and compared against experiments on a group synchronization task, which is a multi-agent extension of the so-called mirror game.
    Language English
    Publishing date 2022-01-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2021.753758
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: In Vitro Antimicrobial and Antibiofilm Properties and Bioaccessibility after Oral Digestion of Chemically Characterized Extracts Obtained from

    Ullah, Hammad / Minno, Alessandro Di / Filippis, Anna De / Sommella, Eduardo / Buccato, Daniele Giuseppe / Lellis, Lorenza Francesca De / El-Seedi, Hesham R / Khalifa, Shaden A M / Piccinocchi, Roberto / Galdiero, Massimiliano / Campiglia, Pietro / Daglia, Maria

    Foods (Basel, Switzerland)

    2023  Volume 12, Issue 9

    Abstract: Periodontal diseases are oral inflammatory diseases ranging from gingivitis to chronic periodontitis. ...

    Abstract Periodontal diseases are oral inflammatory diseases ranging from gingivitis to chronic periodontitis.
    Language English
    Publishing date 2023-04-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods12091826
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Migrants' mental health recovery in Italian reception facilities.

    Caroppo, Emanuele / Calabrese, Carmela / Mazza, Marianna / Rinaldi, Alessandro / Coluzzi, Daniele / Napoli, Pierangela / Sapienza, Martina / Porfiri, Maurizio / De Lellis, Pietro

    Communications medicine

    2023  Volume 3, Issue 1, Page(s) 162

    Abstract: Background: Forced migration leaves deep marks on the psychological well-being of migrants, with post-traumatic stress disorder (PTSD) and other psychological conditions being prevalent among them. While research has clarified the extent to which pre- ... ...

    Abstract Background: Forced migration leaves deep marks on the psychological well-being of migrants, with post-traumatic stress disorder (PTSD) and other psychological conditions being prevalent among them. While research has clarified the extent to which pre-migration trauma is a predictor of mental health outcomes, the role of post-migration stressors in the settlement environment are yet to be fully characterized.
    Methods: We monitored mental health of a cohort of 100 asylum-seekers during their 14-day COVID-19-related quarantine in reception facilities in Rome, Italy, through the administration of six questionnaires (a demographic survey, the WHO-5 well-being index, the Primary Care PTSD Screen for Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5), the Harvard Trauma Questionnaire, the Trauma and Loss Spectrum-Self Report, and the LiMEs-Italian version). Through the combination of statistical analysis and supervised learning, we studied the impact of the first contact with the reception system on asylum-seekers' mental health and sought for possible risk and shielding factors for PTSD.
    Results: We find that sheltering in refugee centers has a positive impact on migrants' mental health; asylum-seekers with PTSD reported more traumatic events and personality characteristics related to loss and trauma; life events are predictors of PTSD in asylum-seekers.
    Conclusions: We identify past traumatic experiences as predictors of PTSD, and establish the positive role the immediate post-migration environment can play on migrants' psychological well-being. We recommend for host countries to implement reception models that provide effective protection and integration of asylum-seekers, similar to those in the Italian system.
    Language English
    Publishing date 2023-11-22
    Publishing country England
    Document type Journal Article
    ISSN 2730-664X
    ISSN (online) 2730-664X
    DOI 10.1038/s43856-023-00385-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Unveiling the Dark Nexus: A systematic review on the interplay of mental health, substance abuse, and socio-cultural factors in femicide.

    Caroppo, Emanuele / Sapienza, Martina / Mazza, Marianna / Sannella, Alessandra / Cecchi, Rossana / Marano, Giuseppe / Kondo, Toshikazu / Calabrese, Carmela / De Lellis, Pietro

    Legal medicine (Tokyo, Japan)

    2023  Volume 67, Page(s) 102334

    Abstract: A shared definition of femicide would help to distinguish it from the murder of a woman and understand its root causes favoring prevention. We conducted a Systematic Literature Review (SLR) to assess how (and if) femicide cases were related to mental ... ...

    Abstract A shared definition of femicide would help to distinguish it from the murder of a woman and understand its root causes favoring prevention. We conducted a Systematic Literature Review (SLR) to assess how (and if) femicide cases were related to mental disorders. Articles papers that explicitly define or discuss femicides or articles that, albeit not expressly mention femicides, thoroughly compare generic homicides and homicides with female victims. We analyse 3546 articles were retrieved from the databases, and 75 studies fulfilled the eligibility criteria and were included in the SLR. Many forms of femicide emerge worldwide as people's values, beliefs, attitudes, and behaviours evolve (intimate partner femicide, femicide-suicide, religious femicide, honour, revolt femicide) and state of vulnerability. A tiny percentage of femicides occur at the hands of subjects with diagnosed mental disorders, and controversies exist regarding the possible link between femicide and the use of drugs and/or alcohol and other factors. The complex problem of violence against women must be addressed with a transdisciplinary approach and targeted interventions for both the victims and the perpetrators. The present SLR shows that it is not possible to link femicides to mental disorders and that socio and cultural factors appear to be more relevant. Further quantitative research is warranted to disentangle the root causes of this heinous phenomenon plaguing our times. Our studies show that using the proposed definition of feminicide would help to delimit and adequately recognise violence in courtrooms, promote the culture of equality, and identify adequate policy strategies for prevention.
    MeSH term(s) Humans ; Female ; Mental Health ; Homicide ; Suicide ; Violence ; Substance-Related Disorders
    Language English
    Publishing date 2023-10-07
    Publishing country Ireland
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 2019555-2
    ISSN 1873-4162 ; 1344-6223
    ISSN (online) 1873-4162
    ISSN 1344-6223
    DOI 10.1016/j.legalmed.2023.102334
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Modeling Human Migration Under Environmental Change

    Pietro De Lellis / Manuel Ruiz Marín / Maurizio Porfiri

    Earth's Future, Vol 9, Iss 4, Pp n/a-n/a (2021)

    A Case Study of the Effect of Sea Level Rise in Bangladesh

    2021  

    Abstract: Abstract Sea level rise (SLR) could have catastrophic consequences worldwide. More than 600 million people currently living in coastal areas may see their livelihood at risk and choose to migrate in the near future. Predicting when, how, and where people ...

    Abstract Abstract Sea level rise (SLR) could have catastrophic consequences worldwide. More than 600 million people currently living in coastal areas may see their livelihood at risk and choose to migrate in the near future. Predicting when, how, and where people could migrate under environmental change is critical to devise effective policy initiatives and improve our preparedness. Here, we propose a modeling framework to predict the effect of SLR on migration patterns from easily accessible geographic and demographic data. The framework adapts the radiation model to capture unwillingness or inability to migrate of affected residents, as well as return migration and cascading effects in migration patterns. We apply the mathematical model to study internal migration in Bangladesh, where we predict a complex and counterintuitive landscape of migration patterns between districts. Our predictions indicate that the impact of SLR on 816,000 people by 2050 will trigger cascading effects in migration patterns throughout the entire country. The population of each of the 64 districts will change, leading to a total variation of 1.3 million people. Migration from inundated regions in the center will trigger non‐trivial patterns, including a reduction in the population of the district of the capital Dhaka.
    Keywords environmental change ; human migration ; networks ; radiation model ; sea level rise ; Environmental sciences ; GE1-350 ; Ecology ; QH540-549.5
    Subject code 910
    Language English
    Publishing date 2021-04-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

To top