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Dietary fiber influence on overall health, with an emphasis on CVD, diabetes, obesity, colon cancer, and inflammation.
Front Nutr
December 2024
Department of Community Health, College of Applied Medical Sciences, Northern Border University, Arar, Saudi Arabia.
Dietary fiber, found in plant-based foods, plays an essential role in human health. It is divided into two types-soluble and insoluble-both offering significant health benefits. Research has shown that increasing fiber intake can reduce the risk of various chronic diseases, such as cardiovascular diseases (CVD), type II diabetes, obesity, colon cancer, and inflammation.
View Article and Find Full Text PDFLong-Term Stable Reference Electrodes with High-Pressure Tolerance and Salinity-Independence.
ACS Sens
January 2025
Ocean College, Zhejiang University, Zhoushan 316021, China.
The reference electrode's performance is essential for ensuring the accuracy of electrochemical sensors in marine environments. Yet, the many existing reference electrodes can exhibit sensitivity to salinity variations, potentially leading to inaccuracies in the measurement process. Herein, we have designed a reliable solid-state reference electrode by introducing SiO-stabilized 1-methyl-3-octylimidazolium bis(trifluoromethyl sulfonyl)imide ([Cmim] [Ntf]) into a P(VdF--HFP) matrix with a SPEEK/[Cmim] [Ntf] coated Ag/AgCl as substrate.
View Article and Find Full Text PDFArtificial intelligence in academic writing: a detailed examination.
Int J Nurs Educ Scholarsh
January 2024
Doctor of Nurse Anesthesia Practice (DNAP) Program, Georgetown University, 3700 Reservoir Rd, NW, St Mary's Hall, 4th Floor, Room 427, Washington, DC, 20057, USA.
Introduction: As AI tools have become popular in academia, concerns about their impact on student originality and academic integrity have arisen.
Methods: This quality improvement project examined first-year nurse anesthesiology students' use of AI for an academic writing assignment. Students generated, edited, and reflected on AI-produced content.
In situ carbon isotopic analyses of magnesium-rich carbonates by LA-MC-ICP-MS at low mass resolution using an iterative isobaric interference correction.
Talanta
April 2025
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, 430074, China. Electronic address:
Accurate in situ carbon isotopic measurements of magnesium-rich carbonates using LA-MC-ICP-MS require effective correction for isobaric interference, particularly from doubly charged Mg ions that can induce δC deviations of several permil. This study focuses on optimizing gas parameters and developing robust correction strategies to improve the accuracy of δC measurements. Experimental results demonstrate that the introduction of nitrogen gas at a flow rate of 4-6 mL/min effectively doubles signal sensitivity while optimizing low helium (0.
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