Low public acceptance hinders the successful introduction of biotechnological innovations, such as genetically modified foods or vaccinations against infectious diseases. Earlier studies indicated that a lack of knowledge is not a key barrier to acceptance. This was confirmed in the current study, which examined an integrated theoretical model tested among 579 participants from the Dutch public. The results suggest that communication strategies should instead target attitudes, social norms, and risk perceptions, and appeal to people's tendency (or lack thereof) to be innovative.
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http://dx.doi.org/10.1002/biot.201400224 | DOI Listing |
J Med Internet Res
December 2024
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Background: Wearable technologies have become increasingly prominent in health care. However, intricate machine learning and deep learning algorithms often lead to the development of "black box" models, which lack transparency and comprehensibility for medical professionals and end users. In this context, the integration of explainable artificial intelligence (XAI) has emerged as a crucial solution.
View Article and Find Full Text PDFJMIR Cardio
December 2024
Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands.
Health care is under pressure due to an aging population with an increasing prevalence of chronic diseases, including cardiovascular disease. Smoking and physical inactivity are 2 key preventable risk factors for cardiovascular disease. Yet, as with most health behaviors, they are difficult to change.
View Article and Find Full Text PDFMethods Mol Biol
November 2024
Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA.
Intrinsically disordered linkers (DLs) connect protein domains and structural elements within domains and facilitate allosteric regulation. Computational studies suggest that thousands of proteins have DLs. Since there are only about 250 proteins with manually curated DL annotations (DisProt database ver.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
November 2024
Long-term memory often plays a pivotal role in human cognition through the analysis of contextual information. Machine learning researchers have attempted to emulate this process through the development of memory-augmented neural networks (MANNs) to leverage indirectly related but resourceful historical observations during learning and inference. The area of MANN, however, is still in its infancy and significant research effort is required to enable machines to achieve performance close to the human cognition process.
View Article and Find Full Text PDFAccid Anal Prev
December 2024
College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, PR China.
Predicting the duration of traffic incidents is challenging due to their stochastic nature. Accurate predictions can greatly benefit end-users by informing their route choices and safety warnings, while helping traffic operation managers more effectively manage non-recurrent traffic congestion and enhance road safety. This study conducts a comprehensive causal analysis of traffic incident duration using a data collected over a long time and including different types of roads across the city of Tianjin, China.
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