Results 151 to 160 of about 85,851 (265)
Burn‐Safe Biodegradable Magnetocaloric Composites for Temperature‐Controlled Biomedical Applications
This work investigates a magnetocaloric (Mn,Fe)2(P,Si) compound tailored for precise, self‐regulating heating in biomedical use. With a Curie temperature tuned at 43 °C, it enables therapeutic activation without overheating. Encapsulation in a composite ensures controlled temperature rise under an alternating magnetic field (AMF), with high ...
Pornpawee Uliss +8 more
wiley +1 more source
Impacts of soret and dufour possessions on micropolar fluid past a stretching sheet in a porous medium. [PDF]
Ahamedsheriff S +4 more
europepmc +1 more source
Physical and Mathematical Model of Relaxation Filtration of Undergrounds Water
M. M. Burakov
openalex +2 more sources
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao +4 more
wiley +1 more source
PLNet: Persistent Laplacian neural network for protein-protein binding free energy prediction. [PDF]
Xu X, Wang C, Wei GW, Chen J.
europepmc +1 more source
An Automated ex vivo culture system BaSIC, tailored for SCN slices and cell culture, which automates medium exchange and ensures a stable internal environment is developed. BaSIC enables real‐time observation of tissue/cell responses to diverse but programmed stimuli.
Kui Han +7 more
wiley +1 more source
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang +4 more
wiley +1 more source
Probing omics data via harmonic persistent homology. [PDF]
Gurnari D +5 more
europepmc +1 more source
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu +7 more
wiley +1 more source

