A recently proposed bile-enzymatic-gravimetric total dietary fiber (TDF) method was modified and the new procedure was compared with the original method, the traditional AOAC enzymatic-gravimetric determination (AOAC Official Method 985.29), and another simplified AOAC procedure by analyzing several diet composites, including National Institute of Standards and Technology 1548 total diet reference material. The original and modified bile-enzymatic-gravimetric procedures also were compared by analyzing 9 food samples from a collaborative study of the original method. The modified method consistently yielded values about 10% lower than the original method but closer to reference values and to values from AOAC Official Method 985.29, suggesting results that are more in line with accepted TDF standard methodology. Our modified method was used to analyze 180 fresh-frozen diet composites with TDF values ranging from 0.6 to 3.2 g/100 g wet weight. Samples were from 2 multicenter feeding studies sponsored by the National Heart, Lung and Blood Institute: DELTA (Dietary Effects on Lipoproteins and Thrombogenic Activity) and DASH (Dietary Approaches to Stop Hypertension). The mean relative standard deviation (RSD) for duplicate analyses was 1.1%. For 40 assays of a quality control diet composite over 9 months, the standard deviation was 0.1 g/100 g wet weight (4.9% RSD), indicating the method's excellent precision for routine use.
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J Med Internet Res
January 2025
Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, United States.
Background: Clinical decision support systems leveraging artificial intelligence (AI) are increasingly integrated into health care practices, including pharmacy medication verification. Communicating uncertainty in an AI prediction is viewed as an important mechanism for boosting human collaboration and trust. Yet, little is known about the effects on human cognition as a result of interacting with such types of AI advice.
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USST-UH International Joint Laboratory for Tumor Diagnosis and Energy Treatment, University of Shanghai for Science and Technology, Shanghai, 200093, China.
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Imperial College Business School, Imperial College London, London, UK.
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Drug Alcohol Rev
January 2025
Unit of Clinical Alcohol Research, Institute of Clinical Research, University of Southern Denmark, and Psychiatric Department, Region of Southern Denmark, Odense, Denmark.
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University of Technology Sydney, Sydney, New South Wales, Australia.
The clinical reasoning cycle was designed to guide nursing care and assist with clinical-reasoning and decision-making. While originally developed with an acute health lens, more recently an adapted version has been created for forensic mental health nurses. It is possible that such a framework may also be helpful for mental health nurses working in generalist settings.
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