Forces and symmetry breaking of a living meso-swimmer. [PDF]
Lara RA +6 more
europepmc +1 more source
This review identifies current and future directions in abiotic nanostructured catalysts to develop reliable and sustainable glucose fuel cells to power the next generation of bioelectronic devices. ABSTRACT The global rise in incidence of chronic diseases has led to the demand for innovative solutions that help patients manage their conditions with ...
Asghar Niyazi +3 more
wiley +1 more source
Cell-Penetrating Botulinum Neurotoxin Type A Proteins Alleviate Skeletal Muscle Hypertrophy with Associated Alterations of Mitochondrial Homeostasis. [PDF]
Li L, Wei X, Jiang L, Gao Z, Liu J.
europepmc +1 more source
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
A standardised protocol for measuring farmland biodiversity outcomes across European Farmer Cluster landscapes. [PDF]
Nichols RN +9 more
europepmc +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
A dynamic bioreactor for endothelial and epithelial cell co-culture to mimic aspects of renal microenvironments. [PDF]
Burton TP, Johnston AP, Callanan A.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Cloud-based collaborative CNC manufacturing framework integrating tool wear monitoring and scheduling support. [PDF]
Imran, Nouioua M, Mekid S.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source

