Results 221 to 230 of about 3,694 (301)
Ultrasound‐Actuated Gene Editing in Human Kidney Organoids
Peptide‐stabilized nanoemulsions enable spatially controlled, ultrasound‐triggered delivery of gene‐editing proteins deep within human kidney organoid tissues. Focused acoustic pulses drive droplet vaporization, propelling cargo into target renal cells while preserving native tissue microarchitecture. This non‐viral platform improves both the depth and
Michael A. Miller +6 more
wiley +1 more source
Unlabeled-Data-Enhanced Tool Remaining Useful Life Prediction Based on Graph Neural Network. [PDF]
Guo D, Zhou H, Sun L, Li G.
europepmc +1 more source
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott +5 more
wiley +1 more source
Estimating returns to education using the genetic lottery. [PDF]
Widding-Havneraas T +5 more
europepmc +1 more source
Traction Force Microscopy for Viscoelastic Substrates: A Semi‐Analytical Method
A semi‐analytical viscoelastic traction force microscopy framework is introduced for quantifying time‐resolved cell tractions on flat finite‐thickness substrates. The method generalizes elastic traction force microscopy to Generalized Maxwell materials, identifies when elastic approximations remain valid and, when they do not, shows that inferred ...
Adrià Villacrosa‐Ribas +10 more
wiley +1 more source
Validating an adaptive digital assessment of youth mental health needs: a cross-sectional study. [PDF]
Capon W +7 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Anomalous Geodesics in the Inhomogeneous Corner Growth Model. [PDF]
Emrah E, Janjigian C, Seppäläinen T.
europepmc +1 more source
Breaking the Toughness‐Stretchability Trade‐Off in Hydrogels with Dynamic Hydrogen Bonding
A novel nanocomposite hydrogel architecture overcomes the inherent conflict between toughness and stretchability by integrating uniformly dispersed aminopropyl‐hybrid‐phyllosilicate nanosheets within a polyacrylamide matrix. This design leverages a dynamic hydrogen‐bonding network to facilitate efficient energy dissipation and self‐recovery.
Yining Gao +3 more
wiley +1 more source
Multi-method validation of the new computerized test of fluid intelligence MatriKS. [PDF]
de Chiusole D +12 more
europepmc +1 more source

