Results 111 to 120 of about 7,652 (173)

Forces and symmetry breaking of a living meso-swimmer. [PDF]

open access: yesCommun Phys
Lara RA   +6 more
europepmc   +1 more source

A Review on Catalytic Nanostructured Electrodes for Wearable and Implantable Abiotic Glucose Fuel Cells

open access: yesAdvanced Science, EarlyView.
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

Ultrasound‐Actuated Gene Editing in Human Kidney Organoids

open access: yesAdvanced Science, EarlyView.
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]

open access: yesPLoS One
Nichols RN   +9 more
europepmc   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

open access: yesAdvanced Science, EarlyView.
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

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
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

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
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

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