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2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 ; 2023.
Article in English | Scopus | ID: covidwho-2321665

ABSTRACT

The COVID-19 pandemic led to a sudden shift to virtual work and events, with the last two years enabling an appropriated and rather simulated togetherness - the hybrid mode. As we return to in-person events, it is important to reflect on not only what we learned about technologies and social justice, but about the types of events we desire, and how to re-design them accordingly. This SIG aims to reflect on hybrid events and their execution: scaling them across sectors, communities, and industries;considering trade-offs when choosing technologies;studying best practices and defining measures of "success"for hybrid events;and finally, identifying and charting the wider social, ethical, and legal implications of hybrid formats. This SIG will consolidate these topics by inviting participants to collaboratively reflect on previous hybrid experiences and what can be learned from them. © 2023 Owner/Author.

2.
Biointerface Research in Applied Chemistry ; 13(1):7, 2023.
Article in English | Web of Science | ID: covidwho-1988983

ABSTRACT

The possibility of electrochemical determination of molnupiravir has been theoretically evaluated for the first time. The molnupiravir electrochemical oxidation over the poly((1,2,4-triazole)-co-(squaraine dye)) composite with cobalt (III) oxyhydroxide has been theoretically evaluated. The correspondent mathematical model analysis has shown that the composite is an efficient electrode modifier for molnupiravir electrochemical determination. As for the oscillatory behavior is more probable than for the simplest case, and its probability will be higher in alkaline media than in neutral.

3.
Ivapp: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Vol. 3: Ivapp ; : 101-111, 2021.
Article in English | Web of Science | ID: covidwho-1304802

ABSTRACT

Today's requirements for visualization of geospatial data are continually rising. Visualization authoring tools provide only limited support for this purpose. The ability to create geovisualizations by non-programmers is often reliant on template editing or visualization authoring tools. However, these tools are often limited either in configuring visual parameters or interaction capabilities. In our work, we identify the main limitations of current tools. Then, we propose design requirements and describe the implementation of Geovisto-a toolkit combining capabilities of the React, Leaflet, and D3.js frameworks in order to provide tools for processing generic geospatial data and creating multilayered reusable map widgets. We demonstrate our approach on two usage scenarios from conceptually different application areas (DDoS attacks from a network monitoring system and COVID-19 pandemics open data). Finally, we discuss the pros and cons of our approach and outline our future work.

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