Advancing amorphous solid dispersions through empirical and hybrid modeling of drug-polymer solubility and miscibility: A case study using Ibuprofen. [PDF]
de Castro M +7 more
europepmc +1 more source
This study presents the BioCLEAR system, a highly transparent and conductive neural electrode array composed of silver nanowires (AgNWs) and doped PEDOT:PSS, enabling neural recordings with minimal optical artifacts. When integrated with a GRIN lens, this cost‐effective neural implant allows simultaneous electrophysiological recording and GCaMP6‐based ...
Dongjun Han +17 more
wiley +1 more source
A New Pes Planus Automatic Diagnosis Method: ViT-OELM Hybrid Modeling. [PDF]
Avcı D.
europepmc +1 more source
Model Transferability and Reduced Experimental Burden in Cell Culture Process Development Facilitated by Hybrid Modeling and Intensified Design of Experiments. [PDF]
Bayer B +3 more
europepmc +1 more source
A sequence‐encoded supramolecular construct containing two accessible toeholds is developed herein for enabling multiple editing operations. By introducing specific input strands, it is possible to selectively erase or rewrite digital content through parallel or series toehold‐mediated strand displacement (PTMSD or STMSD).
Jakub Ossowski +3 more
wiley +1 more source
Hybrid Modeling of the Reversed-Phase Chromatographic Purification of an Oligonucleotide: Few-Shot Learning From Differentiable Physics Solver-in-the-Loop. [PDF]
Chen YC +3 more
europepmc +1 more source
Decision making based on hybrid modeling approach applied to cellulose acetate based historical films conservation. [PDF]
Al Mohtar A +11 more
europepmc +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Clinical-radiomics hybrid modeling outperforms conventional models: machine learning enhances stratification of adverse prognostic features in prostate cancer. [PDF]
Jiang M +7 more
europepmc +1 more source

