Curcumin encapsulation in nanomicelles coupled with a machine learning–guided model for predicting its release profile. ABSTRACT This work, leveraging machine‐learning algorithms, focuses on the design and in vitro evaluation of oil‐in‐water surfactant‐based nanomicelles as a novel curcumin formulation with comparable cytotoxic effects against MCF‐7 ...
Abbas Rahdar +3 more
wiley +1 more source
Evaluation of the Relationship Between Facial Hue and Blood Pressure Fluctuations in Hemodialysis Patients. [PDF]
Oiwa K +4 more
europepmc +1 more source
A Ceramic Network for Hybrid Solid Electrolyte Lithium Metal Batteries
An in‐plane aligned Ta‐LLZO ceramic network exhibits superior performance compared to conventional fillers, including single ceramic fibers and particles. The tortuosity within the polymeric phase of hybrid solid electrolytes is identified as a key parameter governing lithium‐ion transport pathways and dendrite suppression.
Luca Weckelmann +10 more
wiley +1 more source
Machine Learning-Based Prediction of Sleep Quality in Patients with Multiple Sclerosis. [PDF]
Cucu LE +13 more
europepmc +1 more source
Insights from a two‐decade study of crop rotation and biocover impact on yield in no‐till corn
Abstract Crop rotation and cover crop (biocover) management can improve the productivity and yield stability of no‐till corn, yet long‐term evidence for humid subtropical silt loams remains limited. This study evaluated corn (Zea mays L.) grain yield across a 20‐year period (2002–2021) under varying crop sequences and biocovers at two Tennessee ...
Isaac Mirahki, Virginia R. Sykes
wiley +1 more source
Neural structures associated with auditory short-term memory and sentence repetition following chronic left hemisphere stroke. [PDF]
Mei Y +7 more
europepmc +1 more source
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao +6 more
wiley +1 more source
Impact of QTL number, heritability and reference population size on the benefit of machine learning models over GBLUP in genomic prediction. [PDF]
Yang J +3 more
europepmc +1 more source
The oxygen reduction reaction (ORR) at the proton exchange membrane fuel cells (PEMFC) cathode suffers from sluggish kinetics, high platinum loading requirements, and progressive catalyst degradation. This review examines how artificial intelligence (AI) and machine learning (ML) are reshaping the discovery and durability assessment of ORR ...
Aaditya Sharma +4 more
wiley +1 more source
Machine-Learning-Enabled Tensile Property Prediction of Fused-Filament-Fabrication-Printed Recycled PLA/Wood Composites Fabricated via Solution Casting. [PDF]
Vaka VDS +6 more
europepmc +1 more source

