Results 221 to 230 of about 210,249 (302)
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu +5 more
wiley +1 more source
How to cut child mortality in half again: making primary healthcare work. [PDF]
Carai S, Jullien S.
europepmc +1 more source
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
'Better Conversations With Developmental Language Disorder': Designing a Novel Intervention for School-Aged Children and Their Main Carers. [PDF]
Hughes L, Croot L, Newton C, Best W.
europepmc +1 more source
Lead Halide Perovskite Photoelectrocatalysis
Lead halide perovskite semiconductors have emerged as highly promising materials for solar fuel and chemical synthesis. This perspective discusses advances made in the rational photoelectrode design to improve solar‐to‐chemical conversion, product scope, and scalability.
Virgil Andrei
wiley +1 more source
Machine learning models for predicting childhood anemia in Mozambique: analysis from national survey data. [PDF]
Gotine AREM, Victor A, Xavier SP.
europepmc +1 more source
A targeted modulation of the MoS2 electronic structure is achieved via substitutional n‐type Co/Fe co‐doping. This strategy triggers S‐mediated d‐p hybridization, optimizing the binding affinity with polysulfides to establish a volcano‐shaped relationship between the d‐band center and catalytic activity.
Junhyuk Ji +6 more
wiley +1 more source
Proxy consent to clinical research participation: how should it be justified? [PDF]
Sim J, Wrigley A.
europepmc +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Effective strategies to reduce pain and anxiety in infants during routine needle-related medical procedures. [PDF]
Cato K +4 more
europepmc +1 more source

