IUBMB life mini-theme issue on the biology of Acinetobacter introduction

Objectives: The emerging COVID-19 pandemic has caused one of the world’s worst health disasters compounded by social confusion with misinformation, the so-called “Infodemic”. In this paper, we discuss how open technology approaches - including data sharing, visualization, and tooling - can address the COVID-19 pandemic and infodemic. Methods: In response to the call for participation in the 2020 International Medical Informatics Association (IMIA) Yearbook theme issue on Medical Informatics and the Pandemic, the IMIA Open Source Working Group surveyed recent works related to the use of Free/Libre/Open Source Software (FLOSS) for this pandemic. Results: FLOSS health care projects including GNU Health, OpenMRS, DHIS2, and others, have responded from the early phase of this pandemic. Data related to COVID-19 have been published from health organizations all over the world. Civic Technology, and the collaborative work of FLOSS and open data groups were considered to support collective intelligence on approaches to managing the pandemic. Conclusion: FLOSS and open data have been effectively used to contribute to managing the COVID-19 pandemic, and open approaches to collaboration can improve trust in data.

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Editors’ Introduction to Special Theme Issue: Meanings Emerging in Practice (Part 3)

International Journal of Pedagogies and Learning ◽

10.1080/18334105.2007.11004540 ◽

2007 ◽

Vol 3 (3) ◽

pp. 1-3 ◽

Cited By ~ 2

Author(s):

Kaye Cleary ◽

Patrick Alan Danaher ◽

Warren Midgley ◽

Shirley O’Neill ◽

Jeong-Bae Son

Keyword(s):

Theme Issue

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Small Blood Vessel Disease in the Brain Theme Issue Overlapping protein accumulation profiles of CADASIL and CAA: Is there a common mechanism driving cerebral small vessel disease?

American Journal Of Pathology ◽

10.1016/j.ajpath.2020.11.015 ◽

2020 ◽

Author(s):

Kelly Z. Young ◽

Gang Xu ◽

Simon G. Keep ◽

Jimo Borjigin ◽

Michael M. Wang

Keyword(s):

Blood Vessel ◽

Small Vessel Disease ◽

Cerebral Small Vessel Disease ◽

Small Vessel ◽

Common Mechanism ◽

Protein Accumulation ◽

Theme Issue ◽

Small Blood Vessel ◽

Vessel Disease ◽

The Brain

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‘Hierarchy’ in the organization of brain networks

Philosophical Transactions of the Royal Society B Biological Sciences ◽

10.1098/rstb.2019.0319 ◽

2020 ◽

Vol 375 (1796) ◽

pp. 20190319 ◽

Cited By ~ 22

Author(s):

Claus C. Hilgetag ◽

Alexandros Goulas

Keyword(s):

Biological Networks ◽

Brain Networks ◽

Theme Issue ◽

Philosophical Foundations ◽

Systems Neuroscience ◽

Functional Implications ◽

Different Dimensions ◽

Cortical System ◽

Visual Cortical

Concepts shape the interpretation of facts. One of the most popular concepts in systems neuroscience is that of ‘hierarchy’. However, this concept has been interpreted in many different ways, which are not well aligned. This observation suggests that the concept is ill defined. Using the example of the organization of the primate visual cortical system, we explore several contexts in which ‘hierarchy’ is currently used in the description of brain networks. We distinguish at least four different uses, specifically, ‘hierarchy’ as a topological sequence of projections, as a gradient of features, as a progression of scales, or as a sorting of laminar projection patterns. We discuss the interpretation and functional implications of the different notions of ‘hierarchy’ in these contexts and suggest that more specific terms than ‘hierarchy’ should be used for a deeper understanding of the different dimensions of the organization of brain networks. This article is part of the theme issue ‘Unifying the essential concepts of biological networks: biological insights and philosophical foundations’.

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Studying the COVID-19 infodemic at scale

Big Data & Society ◽

10.1177/20539517211021115 ◽

2021 ◽

Vol 8 (1) ◽

pp. 205395172110211

Author(s):

Anatoliy Gruzd ◽

Manlio De Domenico ◽

Pier Luigi Sacco ◽

Sylvie Briand

Keyword(s):

Social Media ◽

Big Data ◽

Interdisciplinary Research ◽

Leading Edge ◽

Theme Issue ◽

Misleading Information ◽

Effective Strategies ◽

Health Related

This special theme issue of Big Data & Society presents leading-edge, interdisciplinary research that focuses on examining how health-related (mis-)information is circulating on social media. In particular, we are focusing on how computational and Big Data approaches can help to provide a better understanding of the ongoing COVID-19 infodemic (overexposure to both accurate and misleading information on a health topic) and to develop effective strategies to combat it.

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