The decision in (2012) to invalidate FDA's proposed graphic health warnings was based in part on the reasoning that the proposed graphic warnings cued emotional responses and therefore could not be considered "factual." However, this reasoning demonstrated the courts' fundamental misunderstanding of current behavioral-science research. In contrast to the courts' artificial separation of emotions from fact, we synthesize and interpret relevant research in basic decision sciences and describe an evidence-based characterization of how emotions influence consumer decision making through multiple mechanisms. We then explore how behavioral research gets "lost in translation" in the legal process and recommend ways that behavioral scientists can work with attorneys to remedy this problem. In order for science-based tobacco regulation to survive legal challenges from the tobacco industry, courts must have access to and be able to understand and apply the relevant research. Accordingly, behavioral laboratory researchers must consider the courts as an additional audience when designing research and reporting results. Researchers wishing to influence policy should also work closely with public health lawyers to have the greatest impact on the legal system.
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http://dx.doi.org/10.18001/TRS.2.4.10 | DOI Listing |
Microsc Res Tech
January 2025
School of Electrical & Control Engineering, Shenyang Jianzhu University, Shenyang, China.
The atomic force microscope (AFM) image will be inclined and bent due to the tilt angle between the probe and the sample surface. When the least squares fitting method is used to correct the horizontal distortion of the AFM image, the shape structure that is lower or higher than the sample base will affect the final fitting correction result. In view of the limitations of existing methods and the diversity of AFM images, an AFM image level distortion correction method based on automatic feature marking is proposed.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Mathematics, University of Dhaka, Dhaka, Bangladesh.
This research uses numerical simulations and mathematical theories to simulate and analyze the spread of the influenza virus. The existence, uniqueness, positivity, and boundedness of the solution are established. We investigate the fundamental reproduction number guaranteeing the asymptotic stability of equilibrium points that are endemic and disease-free.
View Article and Find Full Text PDFMethodsX
December 2024
Department of Mathematics, University of Dhaka, Dhaka 1000, Bangladesh.
The Galerkin approach for numerically resolving higher-order Complex Differential Equations (CDEs) in a rectangular domain in the complex plane is presented in this work. Taylor polynomial functions are used in this method as basis or weighted functions. The CDE is converted into a matrix equation by employing the proposed method.
View Article and Find Full Text PDFJ Prev Med Hyg
September 2024
Department of Public Health Medicine, School of Health System & Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Introduction: The introduction of process innovations in healthcare organizations faces challenges in knowledge sharing and incorporating best practices due to a strong professional autonomy, leading to resistance to change. The healthcare paradigm is shifting towards value-based organizations with a patient-centered approach, requiring multidisciplinary care. Change management is crucial, but current approaches are often limited.
View Article and Find Full Text PDFJ Mach Learn Res
January 2024
Division of Biostatistics, University of Minnesota, Minneapolis, MN 55455, USA.
This article presents a novel method for causal discovery with generalized structural equation models suited for analyzing diverse types of outcomes, including discrete, continuous, and mixed data. Causal discovery often faces challenges due to unmeasured confounders that hinder the identification of causal relationships. The proposed approach addresses this issue by developing two peeling algorithms (bottom-up and top-down) to ascertain causal relationships and valid instruments.
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