Science communicators often grapple with conveying tentative or incremental research findings to the public, particularly regarding progress made toward treating or curing illnesses and diseases. A growing cohort of studies has utilized message experiments to examine how different approaches for communicating scientific uncertainty impact public perceptions. Extending this program, we examine the effects of communicating different levels of uncertainty on public perceptions of advancements in HIV/AIDS research. Participants (= 306) were randomly assigned to view one of three messages in a single-factor experiment with low-, medium-, or high-uncertainty tweets. Outcome measures included perceived uncertainty and support for HIV research. Tweets with a greater emphasis on uncertainty decreased individuals' support not just for the research reported but for research in this critical field as a whole; the way individuals interpret the level of uncertainty presented in the tweets played a crucial role in shaping their attitudes towards supporting HIV/AIDS research. Perceived uncertainty mediated this relationship. As the messaging became more uncertain, participants were more likely to perceive higher levels of uncertainty overall. Participants who perceived greater levels of uncertainty were inclined to express a reduced level of support for HIV/AIDS research. The source of the uncertainty influenced message credibility.
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http://dx.doi.org/10.1080/09540121.2025.2464613 | DOI Listing |
Mol Inform
March 2025
Faculty of Information Technology, HUTECH University, Ho Chi Minh City, Vietnam.
Within a recent decade, graph neural network (GNN) has emerged as a powerful neural architecture for various graph-structured data modelling and task-driven representation learning problems. Recent studies have highlighted the remarkable capabilities of GNNs in handling complex graph representation learning tasks, achieving state-of-the-art results in node/graph classification, regression, and generation. However, most traditional GNN-based architectures like GCN and GraphSAGE still faced several challenges related to the capability of preserving the multi-scaled topological structures.
View Article and Find Full Text PDFJ Air Waste Manag Assoc
March 2025
Department of Materials Science and Tecnology, Federal University of Bahia, Salvador, Brazil.
The accurate estimation of methane generation in landfills is crucial for effective greenhouse gas management and energy recovery, requiring site-specific assessments due to the inherent variability in waste composition and properties before and after disposal. This study investigates the uncertainties associated with methane generation predictions by employing a combination of stoichiometric methods, Biochemical Methane Potential (BMP) assays, and Bayesian inference. Fresh and aged (1-year-old and 5-year-old) samples collected in the tropical Saravan dump site in Gilan, Iran, were used to evaluate the waste's methane generation potential and degradation rate in the field.
View Article and Find Full Text PDFFlow Meas Instrum
March 2025
Fluid Metrology Group, Sensor Science Division, National Institute of Standards and Technology, Gaithersburg, MD 20899.
Numerous process gases are used in the production of semiconductor chips. Accurate metering of these gases into process chambers is critical for maximizing device throughput and yield. A national flow standard for semiconductor process gases does not exist, forcing the industry to rely on approximate "meter factors" to extrapolate a meter calibration carried out with nitrogen to the actual process gas.
View Article and Find Full Text PDFCogn Affect Behav Neurosci
March 2025
Instituto de Biología Molecular y Neurociencias (IFIByNE)-CONICET, Instituto de Fisiología, Buenos Aires, Argentina.
Beliefs play a crucial role in shaping our behaviors and mental health outcomes. Asymmetric belief updating refers to the phenomenon where desirable information is updated more readily than undesirable information. An essential feature of anxiety is threat-overestimation and a tendency to focus on the negative aspects of experience while avoiding sharp negative emotional contrasts.
View Article and Find Full Text PDFCommun Biol
March 2025
Institute of Immunotherapy, Fujian Medical University, 350102 Fuzhou, Fujian, China.
Soluble PD-1 is a dissociated form of membrane PD-1 broadly present in cancer, infections, or autoimmune diseases. However, the clinical significance of sPD-1 remains controversial due to the uncertainty of its isoforms, origin, and production mechanism. Here, using antibodies specifically binding to the intracellular domain of PD-1, we identified two sPD-1 isoforms in cancers at the protein level: FL sPD-1 containing both the extra- and intracellular domains of PD-1, and ECD sPD-1 containing only the extracellular fragment.
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