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  1. Book ; Online: Towards Host-Directed Drug Therapies for Infectious and Non-Communicable Diseases

    Brombacher, Frank / Satoskar, Abhay / Marcello, Alessandro

    2019  

    Keywords Science: general issues ; Infectious & contagious diseases ; infectious diseases ; Non-communicable diseases ; Inflammation ; Host-directed drug therapy ; Pathology
    Size 1 electronic resource (138 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021231487
    ISBN 9782889631025 ; 2889631028
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: LDA2Net Digging under the surface of COVID-19 scientific literature topics via a network-based approach.

    Minello, Giorgia / Santagiustina, Carlo Romano Marcello Alessandro / Warglien, Massimo

    PloS one

    2024  Volume 19, Issue 4, Page(s) e0300194

    Abstract: During the COVID-19 pandemic, the scientific literature related to SARS-COV-2 has been growing dramatically. These literary items encompass a varied set of topics, ranging from vaccination to protective equipment efficacy as well as lockdown policy ... ...

    Abstract During the COVID-19 pandemic, the scientific literature related to SARS-COV-2 has been growing dramatically. These literary items encompass a varied set of topics, ranging from vaccination to protective equipment efficacy as well as lockdown policy evaluations. As a result, the development of automatic methods that allow an in-depth exploration of this growing literature has become a relevant issue, both to identify the topical trends of COVID-related research and to zoom-in on its sub-themes. This work proposes a novel methodology, called LDA2Net, which combines topic modelling and network analysis, to investigate topics under their surface. More specifically, LDA2Net exploits the frequencies of consecutive words pairs (i.e. bigram) to build those network structures underlying the hidden topics extracted from large volumes of text by Latent Dirichlet Allocation (LDA). Results are promising and suggest that the topic model efficacy is magnified by the network-based representation. In particular, such enrichment is noticeable when it comes to displaying and exploring the topics at different levels of granularity.
    MeSH term(s) Humans ; COVID-19/epidemiology ; COVID-19/prevention & control ; SARS-CoV-2 ; Pandemics/prevention & control ; Communicable Disease Control ; Publications
    Language English
    Publishing date 2024-04-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0300194
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Audio / Video ; Online: Facing the COVID-19 pandemic

    MARCELLO, Alessandro

    the virologist viewpoint

    2020  

    Keywords covid19
    Publishing date 2020-10-21
    Publisher Universitatea de Stat de Medicină şi Farmacie "Nicolae Testemiţanu"
    Publishing country md
    Document type Audio / Video ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: The architecture of partisan debates

    Carlo Romano Marcello Alessandro Santagiustina / Massimo Warglien

    PLoS ONE, Vol 17, Iss 6, p e

    The online controversy on the no-deal Brexit.

    2022  Volume 0270236

    Abstract: We propose a framework to analyse partisan debates that involves extracting, classifying and exploring the latent argumentation structure and dynamics of online societal controversies. In this paper, the focus is placed on causal arguments, and the ... ...

    Abstract We propose a framework to analyse partisan debates that involves extracting, classifying and exploring the latent argumentation structure and dynamics of online societal controversies. In this paper, the focus is placed on causal arguments, and the proposed framework is applied to the Twitter debate on the consequences of a hard Brexit scenario. Regular expressions based on causative verbs, structural topic modelling, and dynamic time warping techniques were used to identify partisan faction arguments, as well as their relations, and to infer agenda-setting dynamics. The results highlight that the arguments employed by partisan factions are mostly constructed around constellations of effect-classes based on polarised verb groups. These constellations show that the no-deal debate hinges on structurally balanced building blocks. Brexiteers focus more on arguments related to greenfield trading opportunities and increased autonomy, whereas Remainers argue more about what a no-deal Brexit could destroy, focusing on hard border issues, social tensions in Ireland and Scotland and other economy- and healthcare-related problems. More notably, inferred debate leadership dynamics show that, despite their different usage of terms and arguments, the two factions' argumentation dynamics are strongly intertwined. Moreover, the identified periods in which agenda-setting roles change are linked to major events, such as extensions, elections and the Yellowhammer plan leak, and to new issues that emerged in relation to these events.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: The architecture of partisan debates: The online controversy on the no-deal Brexit.

    Santagiustina, Carlo Romano Marcello Alessandro / Warglien, Massimo

    PloS one

    2022  Volume 17, Issue 6, Page(s) e0270236

    Abstract: We propose a framework to analyse partisan debates that involves extracting, classifying and exploring the latent argumentation structure and dynamics of online societal controversies. In this paper, the focus is placed on causal arguments, and the ... ...

    Abstract We propose a framework to analyse partisan debates that involves extracting, classifying and exploring the latent argumentation structure and dynamics of online societal controversies. In this paper, the focus is placed on causal arguments, and the proposed framework is applied to the Twitter debate on the consequences of a hard Brexit scenario. Regular expressions based on causative verbs, structural topic modelling, and dynamic time warping techniques were used to identify partisan faction arguments, as well as their relations, and to infer agenda-setting dynamics. The results highlight that the arguments employed by partisan factions are mostly constructed around constellations of effect-classes based on polarised verb groups. These constellations show that the no-deal debate hinges on structurally balanced building blocks. Brexiteers focus more on arguments related to greenfield trading opportunities and increased autonomy, whereas Remainers argue more about what a no-deal Brexit could destroy, focusing on hard border issues, social tensions in Ireland and Scotland and other economy- and healthcare-related problems. More notably, inferred debate leadership dynamics show that, despite their different usage of terms and arguments, the two factions' argumentation dynamics are strongly intertwined. Moreover, the identified periods in which agenda-setting roles change are linked to major events, such as extensions, elections and the Yellowhammer plan leak, and to new issues that emerged in relation to these events.
    MeSH term(s) Delivery of Health Care ; Dissent and Disputes ; European Union ; Humans ; Politics ; United Kingdom
    Language English
    Publishing date 2022-06-30
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0270236
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Spotlight on COVID‐19: eighteen months on

    Zacchigna, Serena / Marcello, Alessandro / Banks, Lawrence

    FEBS journal. 2021 Sept., v. 288, no. 17

    2021  

    Abstract: In this Editorial, we highlight the contents of The FEBS Journal’s second Special Issue focussed on COVID‐19. The issue covers a variety of aspects related to COVID‐19, ranging from the most recent improvements in therapies and the significant impact of ... ...

    Abstract In this Editorial, we highlight the contents of The FEBS Journal’s second Special Issue focussed on COVID‐19. The issue covers a variety of aspects related to COVID‐19, ranging from the most recent improvements in therapies and the significant impact of rapidly developed COVID‐19 vaccines to the emergence of variants of SARS‐CoV‐2, the role of the immune system in the various stages of the disease and the impact of the disease in different organs. We hope that this collection of articles will give readers an informative and critical perspective on recent advances in understanding and treating COVID‐19.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; immune system
    Language English
    Dates of publication 2021-09
    Size p. 4992-4995.
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note EDITORIAL
    ZDB-ID 2173655-8
    ISSN 1742-4658 ; 1742-464X
    ISSN (online) 1742-4658
    ISSN 1742-464X
    DOI 10.1111/febs.16167
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: Spotlight on COVID-19: eighteen months on.

    Zacchigna, Serena / Marcello, Alessandro / Banks, Lawrence

    The FEBS journal

    2021  Volume 288, Issue 17, Page(s) 4992–4995

    Abstract: In this Editorial, we highlight the contents of The FEBS Journal's second Special Issue focussed on COVID-19. The issue covers a variety of aspects related to COVID-19, ranging from the most recent improvements in therapies and the significant impact of ... ...

    Abstract In this Editorial, we highlight the contents of The FEBS Journal's second Special Issue focussed on COVID-19. The issue covers a variety of aspects related to COVID-19, ranging from the most recent improvements in therapies and the significant impact of rapidly developed COVID-19 vaccines to the emergence of variants of SARS-CoV-2, the role of the immune system in the various stages of the disease and the impact of the disease in different organs. We hope that this collection of articles will give readers an informative and critical perspective on recent advances in understanding and treating COVID-19.
    MeSH term(s) COVID-19/epidemiology ; COVID-19/therapy ; COVID-19/virology ; COVID-19 Vaccines/therapeutic use ; Disease Management ; Humans ; Immune System/immunology ; SARS-CoV-2/genetics ; SARS-CoV-2/pathogenicity
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2021-09-07
    Publishing country England
    Document type Editorial
    ZDB-ID 2173655-8
    ISSN 1742-4658 ; 1742-464X
    ISSN (online) 1742-4658
    ISSN 1742-464X
    DOI 10.1111/febs.16167
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: RNA polymerase II transcription on the fast lane.

    Marcello, Alessandro

    Transcription

    2012  Volume 3, Issue 1, Page(s) 29–34

    Abstract: Transcription by RNA polymerase II is the process that copies DNA into RNA leading to the expression of a specific gene. Averaged estimates of polymerase elongation rates in mammalian cells have been shown to vary between 1 and 4 kilobases per minute. ... ...

    Abstract Transcription by RNA polymerase II is the process that copies DNA into RNA leading to the expression of a specific gene. Averaged estimates of polymerase elongation rates in mammalian cells have been shown to vary between 1 and 4 kilobases per minute. However, recent advances in live cell imaging allowed direct measurements of RNA biogenesis from a single gene exceeded 50 kb·min(-1) . This unexpected finding opens novel and intriguing perspectives on the control of metazoan transcription.
    MeSH term(s) Gene Expression Regulation ; Humans ; RNA Polymerase II/genetics ; RNA Polymerase II/metabolism ; RNA, Messenger/biosynthesis ; Transcription, Genetic
    Chemical Substances RNA, Messenger ; RNA Polymerase II (EC 2.7.7.-)
    Language English
    Publishing date 2012-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2646974-1
    ISSN 2154-1272 ; 2154-1264
    ISSN (online) 2154-1272
    ISSN 2154-1264
    DOI 10.4161/trns.3.1.19147
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Spotlight on COVID‐19: from biology to therapy and prevention

    Zacchigna, Serena / Marcello, Alessandro / Banks, Lawrence

    FEBS journal. 2020 Sept., v. 287, no. 17

    2020  

    Abstract: In this COVID‐19 Focus Issue, we highlight a collection of recently published The FEBS Journal articles that consider the broader aspects of the COVID‐19 pandemic, ranging from the debunking of urban myths to highlighting some of the most pressing ... ...

    Abstract In this COVID‐19 Focus Issue, we highlight a collection of recently published The FEBS Journal articles that consider the broader aspects of the COVID‐19 pandemic, ranging from the debunking of urban myths to highlighting some of the most pressing questions concerning SARS‐CoV‐2 infection, treatment, prevention and pathology. The collection comprises two review articles, six Viewpoints, two research papers and one commentary. We hope that these articles will provide readers with an informative and interesting overview that will promote further critical analysis of currently available data and observations on COVID‐19.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; therapeutics
    Language English
    Dates of publication 2020-09
    Size p. 3606-3608.
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note NAL-AP-2-clean ; EDITORIAL
    ZDB-ID 2173655-8
    ISSN 1742-4658 ; 1742-464X
    ISSN (online) 1742-4658
    ISSN 1742-464X
    DOI 10.1111/febs.15530
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Radiology Department Preparedness for COVID-19: Facing an Unexpected Outbreak of the Disease.

    Orsi, Marcello Alessandro / Oliva, Antonio Giancarlo / Cellina, Michaela

    Radiology

    2020  Volume 295, Issue 3, Page(s) E8

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-03-31
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.2020201214
    Database MEDical Literature Analysis and Retrieval System OnLINE

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