Non-fungible tokens (NFTs) are novel techno-economic configurations underpinned by cryptocurrency ledgers that transform digital files like graphic art, music, videos, etc. into digital assets. NFTs are often framed as a way for artists and other creators to profit from their activities, transforming 'experiences' into something for sale. As such, NFTs raise some questions pertinent to science and technology studies and political economy. We focus on analysing how NFTs are constructed as digital assets by unpacking the practices, devices, relations, and rights implicated in their construction. We use the concept of 'assetization' to examine the contingencies, problematics, and implications of NFTs and the claims, practices, and entitlements that configure them as a new type of asset. We undertake this analysis through a research-creation process by summarizing and discussing the process of creating and submitting an NFT to a specialized marketplace.
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http://dx.doi.org/10.1177/03063127241286447 | DOI Listing |
Am J Emerg Med
December 2024
Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States; Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.
Background: Emergency medicine remains as the front line of healthcare, providing acute care to a diverse population during urgent and critical moments. Our objective was to systematically quantify the prevalence of data sharing statements (DSS) in high-impact emergency medicine journals and assess their implementation by contacting corresponding authors who indicated data available upon request.
Methods: We conducted a cross-sectional analysis to identify the prevalence and content of data sharing statements in clinical studies published in high impact emergency medicine journals between 2018 and 2023, followed by a hierarchical logistic regression analysis to identify variables impacting the incorporation of data sharing statements into emergency medicine studies.
PLoS One
December 2024
School of Economics and Management, Quanzhou University of Information Engineering, Quanzhou, Fujian, China.
Informed trading, driven by information asymmetry and market imperfections, varies in presence across markets. This form of trading not only distorts market transaction prices and hinders resource allocation but also initiates adverse selection transactions, increasing liquidity risks and potentially precipitating market crashes, thereby impeding the market's healthy development. Utilizing information asymmetry theory and principal-agent theory, this paper analyzes data from A-share listed companies from 2011 to 2022.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Public Health, University of Copenhagen, Copenhagen K, Denmark.
Everyday clinical care generates vast amounts of digital data. A broad range of actors are interested in reusing these data for various purposes. Such reuse of health data could support medical research, healthcare planning, technological innovation, and lead to increased financial revenue.
View Article and Find Full Text PDFHeliyon
December 2024
School of Economics and Management, University of Chinese Academy of Sciences, Beijing, 100190, China.
Based on the cross-generational data of the China Family Panel Studies (CFPS) in 2010, 2014, 2018, this paper empirically explores the intergenerational transmission of household housing preference and its underlying mechanism from a perspective of intergenerational transmission. It finds that: (1) There is a distinct intergenerational transmission of housing preference. (2) For offspring under the age of 45, or those who are female, the intergenerational transmission of housing preferences from parents to their children is more pronounced.
View Article and Find Full Text PDFHeliyon
December 2024
Chair of Construction Management, Ethiopian Institute of Architecture Building Construction and City Development (EiABC), Addis Ababa University, Addis Ababa, Ethiopia.
BIM-Enabled Asset Information Modelling (AIM) entails incorporating extensive data, known as big data, into digital platforms for informed decision-making. However, the lack of accurate and reliable data and the immaturity of BIM integration in existing buildings lead to operational phase performance inefficiencies due to inadequate data access. A strategic approach using BIM-enabled AIM is proposed to address these challenges, with the goal of enhancing data accessibility and adequacy for the operational team's performance.
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