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  1. Article: Editorial: Recurrence of liver tumors: the issue of iterative approaches.

    Finotti, Michele / Bertacco, Alessandra / D'amico, Francesco Enrico / Vitale, Alessandro / Gringeri, Enrico / Cillo, Umberto

    Frontiers in oncology

    2023  Volume 13, Page(s) 1201092

    Language English
    Publishing date 2023-06-14
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1201092
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The unique neural signature of your trip: Functional connectome fingerprints of subjective psilocybin experience.

    Tolle, Hanna M / Farah, Juan Carlos / Mallaroni, Pablo / Mason, Natasha L / Ramaekers, Johannes G / Amico, Enrico

    Network neuroscience (Cambridge, Mass.)

    2024  Volume 8, Issue 1, Page(s) 203–225

    Abstract: The emerging neuroscientific frontier of brain fingerprinting has recently established that human functional connectomes (FCs) ... ...

    Abstract The emerging neuroscientific frontier of brain fingerprinting has recently established that human functional connectomes (FCs) exhibit
    Language English
    Publishing date 2024-04-01
    Publishing country United States
    Document type Journal Article
    ISSN 2472-1751
    ISSN (online) 2472-1751
    DOI 10.1162/netn_a_00349
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Corrigendum to "Palmitoylethanolamide and Polydatin combination reduces inflammation and oxidative stress in vascular injury" [Pharmacol. Res. 123 (2017) 83-92].

    Gugliandolo, Enrico / Fusco, Roberta / Biundo, Flavia / D'Amico, Ramona / Benedetto, Filippo / Di Paola, Rosanna / Cuzzocrea, Salvatore

    Pharmacological research

    2024  Volume 201, Page(s) 107110

    Language English
    Publishing date 2024-02-17
    Publishing country Netherlands
    Document type Published Erratum
    ZDB-ID 1003347-6
    ISSN 1096-1186 ; 0031-6989 ; 1043-6618
    ISSN (online) 1096-1186
    ISSN 0031-6989 ; 1043-6618
    DOI 10.1016/j.phrs.2024.107110
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  4. Article ; Online: How political choices shaped Covid connectivity: The Italian case study.

    Amico, Enrico / Bulai, Iulia Martina

    PloS one

    2021  Volume 16, Issue 12, Page(s) e0261041

    Abstract: The importance of implementing new methodologies to study the ever-increasing amount of Covid-19 data is apparent. The aftermath analysis of these data could inform us on how specific political decisions influenced the dynamics of the pandemic outbreak. ... ...

    Abstract The importance of implementing new methodologies to study the ever-increasing amount of Covid-19 data is apparent. The aftermath analysis of these data could inform us on how specific political decisions influenced the dynamics of the pandemic outbreak. In this paper we use the Italian outbreak as a case study, to study six different Covid indicators collected in twenty Italian regions. We define a new object, the Covidome, to investigate the network of functional Covid interactions between regions. We analyzed the Italian Covidome over the course of 2020, and found that Covid connectivity between regions follows a sharp North-South community gradient. Furthermore, we explored the Covidome dynamics and individuated differences in regional Covid connectivity between the first and second waves of the pandemic. These differences can be associated to the two different lockdown strategies adopted for the first and the second wave from the Italian government. Finally, we explored to what extent Covid connectivity was associated with the Italian geographical network, and found that Central regions were more tied to the structural constraints than Northern or Southern regions in the spread of the virus. We hope that this approach will be useful in gaining new insights on how political choices shaped Covid dynamics across nations.
    MeSH term(s) COVID-19/epidemiology ; Hospitalization ; Humans ; Italy/epidemiology ; Politics ; Time Factors
    Language English
    Publishing date 2021-12-10
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0261041
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  5. Article ; Online: How political choices shaped Covid connectivity

    Enrico Amico / Iulia Martina Bulai

    PLoS ONE, Vol 16, Iss

    The Italian case study

    2021  Volume 12

    Abstract: The importance of implementing new methodologies to study the ever-increasing amount of Covid-19 data is apparent. The aftermath analysis of these data could inform us on how specific political decisions influenced the dynamics of the pandemic outbreak. ... ...

    Abstract The importance of implementing new methodologies to study the ever-increasing amount of Covid-19 data is apparent. The aftermath analysis of these data could inform us on how specific political decisions influenced the dynamics of the pandemic outbreak. In this paper we use the Italian outbreak as a case study, to study six different Covid indicators collected in twenty Italian regions. We define a new object, the Covidome, to investigate the network of functional Covid interactions between regions. We analyzed the Italian Covidome over the course of 2020, and found that Covid connectivity between regions follows a sharp North-South community gradient. Furthermore, we explored the Covidome dynamics and individuated differences in regional Covid connectivity between the first and second waves of the pandemic. These differences can be associated to the two different lockdown strategies adopted for the first and the second wave from the Italian government. Finally, we explored to what extent Covid connectivity was associated with the Italian geographical network, and found that Central regions were more tied to the structural constraints than Northern or Southern regions in the spread of the virus. We hope that this approach will be useful in gaining new insights on how political choices shaped Covid dynamics across nations.
    Keywords Medicine ; R ; Science ; Q
    Subject code 940
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Adult Attachment and Fear of Missing Out: Does the Mindful Attitude Matter?

    Perazzini, Matteo / Bontempo, Danilo / Giancola, Marco / D'Amico, Simonetta / Perilli, Enrico

    Healthcare (Basel, Switzerland)

    2023  Volume 11, Issue 23

    Abstract: Fear of missing out (FoMO) involves the desire or urge to stay continuously connected to and kept up-to-date with a social reference group. The present study explored the relationships between adult attachment and FoMO and the potential mediating effect ... ...

    Abstract Fear of missing out (FoMO) involves the desire or urge to stay continuously connected to and kept up-to-date with a social reference group. The present study explored the relationships between adult attachment and FoMO and the potential mediating effect of a mindful attitude. The present study was carried out on 192 participants (mean
    Language English
    Publishing date 2023-12-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare11233093
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  7. Article: A New Case of Autosomal-Dominant

    Colona, Vito Luigi / Bertini, Enrico / Digilio, Maria Cristina / D'Amico, Adele / Novelli, Antonio / Pro, Stefano / Pisaneschi, Elisa / Nicita, Francesco

    Brain sciences

    2023  Volume 13, Issue 11

    Abstract: ... ...

    Abstract POLR3B
    Language English
    Publishing date 2023-11-08
    Publishing country Switzerland
    Document type Case Reports
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci13111567
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  8. Book ; Online: Efficient distributed representations beyond negative sampling

    Dall'Amico, Lorenzo / Belliardo, Enrico Maria

    2023  

    Abstract: This article describes an efficient method to learn distributed representations, also known as embeddings. This is accomplished minimizing an objective function similar to the one introduced in the Word2Vec algorithm and later adopted in several works. ... ...

    Abstract This article describes an efficient method to learn distributed representations, also known as embeddings. This is accomplished minimizing an objective function similar to the one introduced in the Word2Vec algorithm and later adopted in several works. The optimization computational bottleneck is the calculation of the softmax normalization constants for which a number of operations scaling quadratically with the sample size is required. This complexity is unsuited for large datasets and negative sampling is a popular workaround, allowing one to obtain distributed representations in linear time with respect to the sample size. Negative sampling consists, however, in a change of the loss function and hence solves a different optimization problem from the one originally proposed. Our contribution is to show that the sotfmax normalization constants can be estimated in linear time, allowing us to design an efficient optimization strategy to learn distributed representations. We test our approximation on two popular applications related to word and node embeddings. The results evidence competing performance in terms of accuracy with respect to negative sampling with a remarkably lower computational time.
    Keywords Computer Science - Machine Learning ; Computer Science - Computation and Language ; Statistics - Machine Learning
    Subject code 006
    Publishing date 2023-03-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: The arrow-of-time in neuroimaging time series identifies causal triggers of brain function.

    Bolton, Thomas A W / Van De Ville, Dimitri / Amico, Enrico / Preti, Maria G / Liégeois, Raphaël

    Human brain mapping

    2023  Volume 44, Issue 10, Page(s) 4077–4087

    Abstract: Moving from association to causal analysis of neuroimaging data is crucial to advance our understanding of brain function. The arrow-of-time (AoT), that is, the known asymmetric nature of the passage of time, is the bedrock of causal structures shaping ... ...

    Abstract Moving from association to causal analysis of neuroimaging data is crucial to advance our understanding of brain function. The arrow-of-time (AoT), that is, the known asymmetric nature of the passage of time, is the bedrock of causal structures shaping physical phenomena. However, almost all current time series metrics do not exploit this asymmetry, probably due to the difficulty to account for it in modeling frameworks. Here, we introduce an AoT-sensitive metric that captures the intensity of causal effects in multivariate time series, and apply it to high-resolution functional neuroimaging data. We find that causal effects underlying brain function are more distinctively localized in space and time than functional activity or connectivity, thereby allowing us to trace neural pathways recruited in different conditions. Overall, we provide a mapping of the causal brain that challenges the association paradigm of brain function.
    MeSH term(s) Humans ; Time Factors ; Brain/diagnostic imaging ; Neuroimaging ; Causality ; Functional Neuroimaging ; Brain Mapping ; Magnetic Resonance Imaging
    Language English
    Publishing date 2023-05-20
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1197207-5
    ISSN 1097-0193 ; 1065-9471
    ISSN (online) 1097-0193
    ISSN 1065-9471
    DOI 10.1002/hbm.26331
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4028: Show issues Location:
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  10. Article: Correction: D'Amico et al. Toxic Exposure to Endocrine Disruptors Worsens Parkinson's Disease Progression through NRF2/HO-1 Alteration.

    D'Amico, Ramona / Gugliandolo, Enrico / Siracusa, Rosalba / Cordaro, Marika / Genovese, Tiziana / Peritore, Alessio Filippo / Crupi, Rosalia / Interdonato, Livia / Di Paola, Davide / Cuzzocrea, Salvatore / Fusco, Roberta / Impellizzeri, Daniela / Di Paola, Rosanna

    Biomedicines

    2024  Volume 12, Issue 4

    Abstract: Errors in ... ...

    Abstract Errors in Figures
    Language English
    Publishing date 2024-04-10
    Publishing country Switzerland
    Document type Published Erratum
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines12040834
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