Results 91 to 100 of about 198,857 (251)
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Second-Order Side-Channel Analysis Based on Orthogonal Transform Nonlinear Regression. [PDF]
Jiang Z, Ding Q.
europepmc +1 more source
An integrated perfusion‐based culture platform combining pre‐vascularized collagen scaffolds, stromal vascular fraction cells, and kidney decellularized extracellular matrix promotes vascularization of human iPSC‐derived kidney organoids. The platform provides evidence of interactions between vascular networks and glomerular‐like structures and enables
Helen Kearney +5 more
wiley +1 more source
Determination of the radii of coated and uncoated silicon AFM sharp tips using a height calibration standard grating and a nonlinear regression function. [PDF]
Boonpuek P, Felts JR.
europepmc +1 more source
Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi +4 more
wiley +1 more source
Spatial and temporal dynamics of leptospirosis in South Brazil: A forecasting and nonlinear regression analysis. [PDF]
Teles AJ +4 more
europepmc +1 more source
A wearable electrochemical microneedle patch integrates Prussian Blue redox transduction with molecularly imprinted polymer recognition for reagent‐free sampling and detection of thrombo‐inflammatory biomarkers in dermal interstitial fluid. The platform tracks thrombin and inflammatory cytokines with sensitive in vitro, ex vivo, and in vivo performance,
Mahmoud Ayman Saleh +11 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Bootstrap-based inferential improvements to the simplex nonlinear regression model. [PDF]
Silva AO, Silva JWA, Espinheira PL.
europepmc +1 more source
Highly Entangled Bottlebrush Polymer Networks
Bottlebrush polymers are difficult to entangle, enabling ultrasoft yet brittle networks. We report highly entangled bottlebrush elastomers that remain ultrasoft (∼1 kPa) yet stretch to ∼1800% and exhibit exceptional fatigue resistance. Their intrinsic fatigue strength—fatigue threshold normalized by modulus—surpasses that of highly entangled linear ...
Myoeum Kim +3 more
wiley +1 more source

