Results 71 to 80 of about 1,333,225 (408)
Biodiesel: Tomorrow\u27s Fuel, Today\u27s Solution [PDF]
, 2009 Study of physical and chemical properties of biodiesel fuels derived from poultry and plant ...
Molina, Roberto J., Persuad, Racheal A.
core +1 more source
Complex of Chemical-technological and Sanitary-hygienic Quality Indicators of the New Pastry Products of Special Nutrition [PDF]
, 2017 The complex of chemical-technological and sanitary-hygienic quality indicators of new pastry products of special nutrition was studied. The original recipes of meat pastries for special nutrition, enriched with biologically active components at the ...
Kotliar, Y. (Yevhenii) +4 more
core +2 more sources
Making tau amyloid models in vitro: a crucial and underestimated challenge
FEBS Letters, EarlyView.This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
Effect of different relative humidities on the oil extracted from stored cottonseed
Grasas y Aceites, 1996 Effect of different relative humidities (room, 10%, 46% and 97% R. H.) on the oil extracted from cottonseed stored for one year was studied. The oil extracted from recent non-stored cottonseed was used as a control.
H. E. Helmy, S. S. Mohamad
doaj +1 more source
Bioinorganic Chemistry and Applications, 2021 Background. Wound healing is a complex process of replacing devitalized cellular structures and tissues with healthy cells and tissue. Nanotechnology has been increasingly proposed as a novel platform to treat wounds and skin regeneration.
Shahla Korani +7 more
doaj +1 more source
Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training [PDF]
arXiv, 2020 Purpose: To use a deep neural network (DNN) for solving the optimization problem of water/fat separation and to compare supervised and unsupervised training. Methods: The current T2*-IDEAL algorithm for solving fat/water separation is dependent on initialization.
arxiv
The power of microRNA regulation—insights into immunity and metabolism
FEBS Letters, EarlyView.MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto +2 more
wiley +1 more source
Grasas y Aceites, 1992 Studies on the lipid constituents of grape seeds, produced as by-product from white grape processing, were carried out. Gas liquid chromatography was used to determine the composition of fatty acid methyl esters and sterol silyl derivatives of the oil ...
S. M. El-Shami +2 more
doaj +1 more source
Fast Adversarial Training with Smooth Convergence [PDF]
ICCV2023, 2023 Fast adversarial training (FAT) is beneficial for improving the adversarial robustness of neural networks. However, previous FAT work has encountered a significant issue known as catastrophic overfitting when dealing with large perturbation budgets, \ie the adversarial robustness of models declines to near zero during training.
arxiv
FEBS Letters, EarlyView.Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez +3 more
wiley +1 more source