The introduction of synthetic nicotine by the tobacco industry, also promoted as tobacco-free nicotine, presented new challenges for analytical chemists working in tobacco regulatory science to develop and optimize new methods to assess new nicotine parameters, namely enantiomer ratio and source. We conducted a systematic literature review of the available analytical methods to detect the nicotine enantiomer ratio and the source of nicotine using PubMed and Web of Science databases. Methods to detect nicotine enantiomers included polarimetry, nuclear magnetic resonance, and gas and liquid chromatography. We also covered methods developed to detect the source of nicotine either indirectly via determining the nicotine enantiomer ratio or the detection of tobacco-specific impurities or directly using the isotope ratio enrichment analysis by nuclear magnetic resonance (site-specific natural isotope fractionation and site-specific peak intensity ratio) or accelerated mass spectrometry. This review presents an accessible summary of all these analytical methods.
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http://dx.doi.org/10.1021/acs.chemrestox.2c00310 | DOI Listing |
Langenbecks Arch Surg
January 2025
Department of Public Health and Community Medicine, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
Objectives: The objective of this web-based study is to analyze the attributes of bariatric surgery cases ensuing health implications. Additionally, the study seeks to delve into the factors influencing post-bariatric psychological evaluations and the impact of various bariatric surgeries on weight loss and psycho-social assessment scores for patients who had undergone bariatric surgeries within a specific bariatric surgery center in Egypt between January 2017 and January 2024.
Methods: An analytical cross-sectional study recruited 411 adults who had undergone different bariatric procedures by the same surgical team.
BioData Min
January 2025
School of Computer Science, Fudan University, Shanghai, China.
This survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) in biomedical research. Foundation models such as ChatGPT, LLaMa, and CLIP, which are trained on vast datasets through methods including unsupervised pretraining, self-supervised learning, instructed fine-tuning, and reinforcement learning from human feedback, represent significant advancements in machine learning. These models, with their ability to generate coherent text and realistic images, are crucial for biomedical applications that require processing diverse data forms such as clinical reports, diagnostic images, and multimodal patient interactions.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Community Medicine and Rehabilitation, Physiotherapy, Umeå University, Umeå, Sweden.
Background: Physical activity and exercise are promoted worldwide as effective interventions for healthy ageing. Various exercise initiatives have been developed and evaluated for their efficacy and effectiveness among older populations. However, a deeper understanding of participants' experiences with these initiatives is crucial to foster long-term activity and exercise among older persons.
View Article and Find Full Text PDFBMC Womens Health
January 2025
Department of Midwifery, School of Nursing and Midwifery, Bushehr University of Medical Sciences, Bushehr, Iran.
Background: Given the negative impact of breast cancer and its treatment on women's self-efficacy in various areas, including sexual function, investigating and understanding ways to enhance sexual function is crucial. The current study aimed to examine the impact of sexual counseling and education based on self-efficacy theory on the sexual function of women with breast cancer.
Method: The trial was a randomized controlled trial with a parallel design, including a pre-test, post-test, and one-month follow-up.
BMC Prim Care
January 2025
Department of Public Health and Caring Sciences, Uppsala University, P O Box 564, Uppsala, S-751 22, Sweden.
Background: The global incidence of type 2 diabetes is rapidly rising, particularly among migrants in developed countries. Migrants bear a significant burden of diabetes. However, this study is the only to evaluate the effects of a culturally appropriate diabetes intervention for these migrants on diabetes knowledge and health outcomes, adding a novel perspective to the existing literature.
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