Objectives: This paper describes the effects of non-tobacco, physical cigarette design features on smoke emissions, product appeal, and smoking behaviors - 3 factors that determine smoker's exposure and related health risks.
Methods: We reviewed available evidence for the impact of filter ventilation, new filter types, and cigarettes dimensions on toxic emissions, smoker's perceptions, and behavior. For evidence sources we used scientific literature and websites providing product characteristics and marketing information.
Results: Whereas filter ventilation results in lower machine-generated emissions, it also leads to perceptions of lighter taste and relative safety in smokers who can unwittingly employ more intense smoking behavior to obtain the desired amount of nicotine and sensory appeal. Filter additives that modify smoke emissions can also modify sensory cues, resulting in changes in smoking behavior. Flavor capsules increase the cigarette's appeal and novelty, and lead to misperceptions of reduced harm. Slim cigarettes have lower yields of some smoke emissions, but smoking behavior can be more intense than with standard cigarettes.
Conclusions: Physical design features significantly impact machine-measured emission yields in cigarette smoke, product appeal, smoking behaviors, and exposures in smokers. The influence of current and emerging design features is important in understanding the effectiveness of regulatory actions to reduce smoking-related harm.
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http://dx.doi.org/10.18001/TRS.4.1.6 | DOI Listing |
J Chem Inf Model
January 2025
Division of Physics & Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371, Singapore.
With remarkable stability and exceptional optoelectronic properties, two-dimensional (2D) halide layered perovskites hold immense promise for revolutionizing photovoltaic technology. Effective data representations are key to the success of all learning models. Currently, the lack of comprehensive and accurate material representations has hindered AI-based design and discovery of 2D perovskites, limiting their potential for advanced photovoltaic applications.
View Article and Find Full Text PDFNeuroinformatics
January 2025
Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
This paper introduces the Automated Lesion and Feature Extraction (ALFE) pipeline, an open-source, Python-based pipeline that consumes MR images of the brain and produces anatomical segmentations, lesion segmentations, and human-interpretable imaging features describing the lesions in the brain. ALFE pipeline is modeled after the neuroradiology workflow and generates features that can be used by physicians for quantitative analysis of clinical brain MRIs and for machine learning applications. The pipeline uses a decoupled design which allows the user to customize the image processing, image registrations, and AI segmentation tools without the need to change the business logic of the pipeline.
View Article and Find Full Text PDFMol Biol Evol
December 2024
Computational Biology and Bioinformatics, Université Libre de Bruxelles, 1050 Brussels, Belgium.
Determining the impact of mutations on the thermodynamic stability of proteins is essential for a wide range of applications such as rational protein design and genetic variant interpretation.Since protein stability is a major driver of evolution, evolutionary data are often used to guide stability predictions. Many state-of-the-art stability predictors extract evolutionary information from multiple sequence alignments (MSA) of proteins homologous to a query protein, and leverage it to predict the effects of mutations on protein stability.
View Article and Find Full Text PDFClin Cancer Res
December 2024
Dana-Farber Cancer Institute, Boston, MA, United States.
Purpose: Melanoma brain metastases (MBMs) are a common, lethal complication of metastatic melanoma. Despite improvements in treatments, subsets of MBM patients experience rapid decline, and few prognostic biomarkers have been identified. An improved understanding of the molecular features specifically associated with MBM overall survival (OS) and intracranial progression free survival (PFS) could facilitate the development of more effective clinical management strategies.
View Article and Find Full Text PDFPurpura fulminans (PF) is a rare but devastating complication of sepsis characterized by a highly thrombotic subtype of disseminated intravascular coagulation (DIC). A medical emergency, PF cases often require the involvement of consultant hematologists to assist with diagnosis and management of patients who are in a highly dynamic and deteriorating clinical situation. Patients who survive past the first 24 to 72 hours often die from complications of unchecked thrombosis rather than from shock, and survivors are usually left with severe scarring and tissue loss.
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