Results 51 to 60 of about 34,264 (221)
A new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment [PDF]
Annals of Applied Statistics 2011, Vol. 5, No. 2B, 1456-1487, 2011 In the United States the preferred method of obtaining dietary intake data is the 24-hour dietary recall, yet the measure of most interest is usual or long-term average daily intake, which is impossible to measure. Thus, usual dietary intake is assessed with considerable measurement error.
arxiv +1 more source
Advanced Engineering Materials, EarlyView.This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein +44 more
wiley +1 more source
Aquaculture, Fish and Fisheries, Volume 2, Issue 6, Page 450-457, December 2022., 2022 Abstract We evaluated the performance of five commercial microstarter diets (Otohime, Gemma Micro, Gemma Wean, Optimal Starter, and Omega One Fry) fed to first feeding larval saugeye Sander vitreus × Sander canadensis. Triplicate tanks of 2500 larvae (initial weight: 2.6 ± 0.6 mg) were stocked at 4 days post‐hatch (DPH) and fed treatment diets for 4 ...
Gregory J. Fischer +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Nanofibrils are considered the universal building blocks of spider silks. In this work, the thinnest natural spider silk nanofibrils are imaged, measured, and mechanically tested for the first time. Gaining insight into the mechanics of silk at the nanoscale is important.
Jacob Silliman +2 more
wiley +1 more source
Agronomy Journal, Volume 114, Issue 6, Page 3155-3172, November/December 2022., 2022 Abstract Developing countries, especially those in hot and dry areas, need more attention to achieve sustainable development as they apply excessive inputs in production processes. The present study aims to quantify the amount of environmental emissions and determine the most appropriate pattern of energy use in the date (Phoenix dactylifera L ...
Reza Hesampour +4 more
wiley +1 more source
A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases [PDF]
Journal of Computer Science, 21(1), 34-42 (2025)Wheat is an important source of dietary fiber and protein that is negatively impacted by a number of risks to its growth. The difficulty of identifying and classifying wheat diseases is discussed with an emphasis on wheat loose smut, leaf rust, and crown and root rot.
arxiv +1 more source
Advanced Functional Materials, EarlyView.Translation of recombinant spider silks as fillers for nerve guidance conduits in long‐segment nerve reconstruction demands a detailed examination of native counterparts. Thus, this study conducts a comprehensive analysis of the material properties of four phylogenetically diverse spider silks and their impact on Schwann cell adhesion, pinpointing key ...
Sarah Stadlmayr +10 more
wiley +1 more source
Time‐Controlled Dual Targeting to Program Systemic and Intercellular Transfer of Therapeutic Effects
Advanced Functional Materials, EarlyView.Aspirin‐liposomes loaded onto monocytes enable inflammation‐triggered targeting and efficient hand‐over of aspirin to inflamed cells. Monocytes uptake a significant portion of aspirin‐liposomes, prolonging therapeutic action. This approach enhances anti‐inflammatory effects through intercellular transfer, demonstrating a translational strategy for ...
Seung Eun Yu +6 more
wiley +1 more source
Roczniki Panstwowego Zakladu Higieny, 2018 Background. The knowledge about nutrition of the marathoners is insufficient. An insightful and personalized approach to the diet of long-distance athletes, including the consumption of important nutrients such as dietary fiber, is needed to improve the ...
Monika Bronkowska +2 more
doaj +1 more source
Nutrition Journal, 2022 Background Abdominal aortic calcification (AAC) is recognized as a valuable predictor of cardiovascular diseases (CVDs). Dietary fiber is strongly correlated with CVDs. However, the effect of dietary fiber on AAC in the population is not well understood.
YuJiao Sun, HuanRui Zhang, Wen Tian
doaj +1 more source