The control of nanocrystal structures at will is still a challenge, despite the recent progress of colloidal synthetic procedures. It is common knowledge that even small modifications of the reaction parameters during synthesis can alter the characteristics of the resulting nano-objects. In this work we report an unexpected factor which determines the structure of cobalt nanoparticles. Nanocrystals of distinctly different sizes and shapes have resulted from stock solutions containing exactly the same concentrations of [Co{N(SiMe(3))(2)}(2)(thf)], hexadecylamine, and lauric acid. The reduction reaction itself has been performed under identical conditions. In an effort to explain these differences and to analyze the reaction components and any molecular intermediates, we have discovered that the rate at which the cobalt precursor is added to the ligand solution during the stock solution preparation at room temperature becomes determinant by triggering off a nonanticipated side reaction which consumes part of the lauric acid, the main stabilizing ligand, transforming it to a silyl ester. Thus, an innocent mixing, apparently not related to the main reaction which produces the nanoparticles, becomes the parameter which in fine defines nanocrystal characteristics. This side reaction affects in a similar way the morphology of iron nanoparticles prepared from an analogous iron precursor and the same long chain stabilizing ligands. Side reactions are potentially operational in a great number of systems yielding nanocrystals, despite the fact that they are very rarely mentioned in the literature.
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Innov Clin Neurosci
December 2024
Mr. Timberlake is with Berkshire Biomedical Corporation in Dallas, Texas.
Background: Methadone is commonly utilized to treat opioid use disorder (OUD). Requirements to visit an opioid treatment provider (OTP) clinic for methadone treatment limits access to treatment, impacts quality of life, and reduces OUD treatment program retention. The Computerized Oral Prescription Administration (COPA) system is a dual-biometric dispensing device for take-home dosing that could reduce the impacts of methadone administration on patients and clinic staff.
View Article and Find Full Text PDFNat Cancer
January 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Human tumors are diverse in their natural history and response to treatment, which in part results from genetic and transcriptomic heterogeneity. In clinical practice, single-site needle biopsies are used to sample this diversity, but cancer biomarkers may be confounded by spatiogenomic heterogeneity within individual tumors. Here we investigate clonally expressed genes as a solution to the sampling bias problem by analyzing multiregion whole-exome and RNA sequencing data for 450 tumor regions from 184 patients with lung adenocarcinoma in the TRACERx study.
View Article and Find Full Text PDFGeroscience
January 2025
Center for Aging and Population Health, School of Public Health, University of Pittsburgh, 310 BelPB, 130 N. Bellefield Avenue, Pittsburgh, PA, 15213, USA.
Unintentional weight loss in older populations is linked to greater mortality and morbidity risks. This study aims to understand the metabolic mechanisms of unintentional weight loss and their relationship with body composition changes in older adults. We investigated plasma metabolite associations with weight and body composition changes over 5 years in 1335 participants (mean age 73.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Karlsruhe Institute for Technology, Karlsruhe, Baden‐Württemberg, Germany
Background: The increasing prevalence of dementia globally, including Germany, necessitates effective strategies to reduce the burden on patients, caregivers, and healthcare systems. Risk factor prevention plays a crucial role in delaying the onset of severe symptoms and alleviating the strain on resources.
Method: This study focuses on identifying the requirements of a digital healthcare application for risk factor prevention in dementia within the German public healthcare system.
Nat Med
January 2025
Google Research, Mountain View, CA, USA.
Large language models (LLMs) have shown promise in medical question answering, with Med-PaLM being the first to exceed a 'passing' score in United States Medical Licensing Examination style questions. However, challenges remain in long-form medical question answering and handling real-world workflows. Here, we present Med-PaLM 2, which bridges these gaps with a combination of base LLM improvements, medical domain fine-tuning and new strategies for improving reasoning and grounding through ensemble refinement and chain of retrieval.
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