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Integrative development of a concise screening questionnaire for early detection of pregnant women at risk for dystrophy.
BMC Pregnancy Childbirth
December 2024
School of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, People's Republic of China.
Background: Maintaining a healthy diet during pregnancy is vital for reducing the risk of adverse birth outcomes. However, conventional methods of assessing the dietary behavior of pregnant women, such as the FFQ, are often time-consuming. This study aims to develop a concise nutritional screening questionnaire tailored for pregnant women, empowering prenatal healthcare providers to quickly identify key adverse dietary behaviors and provide targeted guidance.
View Article and Find Full Text PDFApplications and Future Prospects of Medical LLMs: A Survey Based on the M-KAT Conceptual Framework.
J Med Syst
December 2024
School of Basic Medical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, 310053, China.
The success of large language models (LLMs) in general areas have sparked a wave of research into their applications in the medical field. However, enhancing the medical professionalism of these models remains a major challenge. This study proposed a novel model training theoretical framework, the M-KAT framework, which integrated domain-specific training methods for LLMs with the unique characteristics of the medical discipline.
View Article and Find Full Text PDFAn evaluation of pruning programs to manage shoot blight, caused by the bacterium .
Plant Dis
December 2024
Cornell University, Plant Pathology-Geneva, 630 West North Street, 221 Barton Lab, Geneva, New York, United States, 14456;
Fire blight is an economically devastating disease caused by the bacterium . Infections lead can shoot blight and, when unmanaged, become systemic and can quickly cause tree death and spread through an orchard via active infections sites producing bacterial ooze. With climate change, increasingly popular high-density training systems, and the susceptibility of many consumers desired apple cultivars, shoot blight management has become exceptionally challenging despite the diverse management tactics available.
View Article and Find Full Text PDFFeed additives for methane mitigation: Recommendations for testing enteric methane-mitigating feed additives in ruminant studies.
J Dairy Sci
January 2025
Department of Animal and Veterinary Sciences, Aarhus University, AU Viborg - Research Centre Foulum, 8830 Tjele, Denmark. Electronic address:
There is a need for rigorous and scientifically-based testing standards for existing and new enteric methane mitigation technologies, including antimethanogenic feed additives (AMFA). The current review provides guidelines for conducting and analyzing data from experiments with ruminants intended to test the antimethanogenic and production effects of feed additives. Recommendations include study design and statistical analysis of the data, dietary effects, associative effect of AMFA with other mitigation strategies, appropriate methods for measuring methane emissions, production and physiological responses to AMFA, and their effects on animal health and product quality.
View Article and Find Full Text PDFExamining Shift Length and Fatigue: A National Study of Neonatal Advanced Practice Providers.
Adv Neonatal Care
December 2024
Author Affiliations: Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia (Dr Farmer); School of Nursing, Rush University, Chicago, Illinois (Dr Hoffman); Henry Ford Health, Detroit, Michigan (Dr Vance); Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia (Dr Li); and School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania (Dr Bell).
Background: Neonatal advanced practice providers (APPs) often work prolonged hours in high-acuity neonatal intensive care units (NICUs). It is imperative to understand how fatigue affects the APP's ability to react quickly following long shifts. There is a lack of data on the effects of shift length and fatigue on neonatal APP job performance and clinical decision-making.
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