Advancing proton therapy together: insights on practice, technology, and implementation. [PDF]
Kim T, Bizzocchi N.
europepmc +1 more source
Highly Selective Toward HER or CO2RR by Regulating Cu Single and Dual Atoms on g‐C3N4
This systematic study provides insights into the design of electrocatalysts for hydrogen evolution reaction (HER) and carbon dioxide reduction (CO2RR). It serves as a useful guide for tuning catalyst architecture toward efficient multifunctional performance by varying synthetic parameters, demonstrating the impact of copper (Cu) species ranging from ...
Wan‐Ting Chen +9 more
wiley +1 more source
The Long-Range High-pH Proton Channel Facilitates the Nitrite Reduction in Copper-Containing Nitrite Reductase. [PDF]
Qin X, Li L, Zhou Q, Chen X.
europepmc +1 more source
A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu +8 more
wiley +1 more source
Protolysis Reaction on Pyrophyllite Surface Molecular Models: A DFT Study. [PDF]
Bentabol M +3 more
europepmc +1 more source
Phase‐Stable Palladium Hydride Derived from PdCoO2 for Sustainable Hydrogen Evolution Reaction
The exceptionally active β‐PdHx is demonstrated for the hydrogen evolution reaction in acidic media. The fast activation kinetics from the PdCoO2 template are resolved by operando spectroscopy, and isotope‐labeled atom probe tomography quantifies the H content in β‐PdHx. The outstanding stability of the electrocatalyst is attributed to the retention of
Luca Camuti +10 more
wiley +1 more source
Proof of concept for the usability of the IRRAMICE for proton preclinical radiobiological research by a traceable dosimetry evaluation. [PDF]
Ahmad R +14 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
RBE-Guided Treatment Planning, LET Optimization, and Implications of Proton Arc Therapy for the Sparing of Nervous Tissue in Head and Neck Proton Therapy. [PDF]
Reiners K +9 more
europepmc +1 more source

