This study assesses whether the Democratic Party holds issue ownership over science in the United States. We analyze data from a national survey that asked 1041 adults questions specifically designed to measure perceptions of science ownership. While the results suggest that the Democratic Party does hold a significant advantage in ownership of science in an abstract sense, perceptions of ownership of specific types of science vary across the two parties. Those who identify as Independents drive much of the aggregate perceptions of ownership of science, whereas partisans' perceptions of issue ownership of science are mostly driven by in-party favoritism. Post hoc analyses suggest that news media use contributes to perceptions of science ownership and reinforces affinity-party preference.
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http://dx.doi.org/10.1177/09636625241229199 | DOI Listing |
Alzheimers Dement
December 2024
Neuroscience and Aging Research Unit, Institute of Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Background: Historically, efforts to engage under-represented communities in health research have encountered limited success, attributable to inadequate community participation, acceptability, and ownership. Globally, an innovative strategy to foster community involvement in research is the establishment of Community Advisory Boards (CABs). These boards consist of stakeholders from the target community, providing partnership and support throughout all phases of the research, from conception to implementation and evaluation.
View Article and Find Full Text PDFPhilos Trans R Soc Lond B Biol Sci
January 2025
Science Based Targets Network (SBTN), New York, NY 10008-7082, USA.
Target 15 of the Kunming-Montreal Global Biodiversity Framework recognizes the importance of the private sector monitoring, assessing and disclosing biodiversity-related risks, dependencies and impacts. Many businesses and financial institutions are progressing with science-based assessments, targets and disclosures and integrating into strategy, risk management and capital allocation decisions. Developments will continue in response to investor expectations, emerging corporate sustainability reporting regulations in Europe, China and elsewhere and evolving global sustainability reporting standards.
View Article and Find Full Text PDFNature
January 2025
Machine Learning Lab, University of Freiburg, Freiburg, Germany.
Tabular data, spreadsheets organized in rows and columns, are ubiquitous across scientific fields, from biomedicine to particle physics to economics and climate science. The fundamental prediction task of filling in missing values of a label column based on the rest of the columns is essential for various applications as diverse as biomedical risk models, drug discovery and materials science. Although deep learning has revolutionized learning from raw data and led to numerous high-profile success stories, gradient-boosted decision trees have dominated tabular data for the past 20 years.
View Article and Find Full Text PDFSci Rep
January 2025
Commercial Product R&D Institute, Dongfeng Automobile Co., Ltd., Wuhan, 430070, People's Republic of China.
The rapid acceleration of urbanization and the surge in car ownership necessitate efficient automatic parking solutions in constricted spaces to address the escalating urban parking issue. To optimize space utilization, enhance traffic efficiency, and mitigate accident risks, a method is proposed for smooth, comfortable, and adaptable automatic parking trajectory planning. This study initially employs a hybrid A* algorithm to generate a preliminary path, then fits the velocity and acceleration based on a cubic polynomial.
View Article and Find Full Text PDFSci Rep
January 2025
Association of Coding, Technology, and Genomics (ACTG), Sher-e-Bangla Agricultural University (SAU), Dhaka, 1207, Bangladesh.
In Bangladesh, farming serves as a key livelihood, leading to a higher risk of zoonotic diseases due to frequent animal interactions and traditional practices. The study aimed to assess the knowledge, attitudes, and practices of livestock farmers regarding zoonotic disease outbreaks. A cross-sectional study was conducted with 658 livestock farmers from randomly selected regions in Bangladesh from April to June 2024.
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