Results 161 to 170 of about 119,343 (246)
DESIGN RELIABILITY CALCULATION OF AUTOMATED CONTROL SYSTEMS FOR SMART GREENHOUSES
D.A. Demichev, V.N. Astapov
openaire +1 more source
Photoswitching Conduction in Framework Materials
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Innovative Rapid Detection System for Nondeletion-Type α‑Thalassemia via Whole-Blood Amplification and Microfluidic Technology. [PDF]
Wei Y +9 more
europepmc +1 more source
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker +5 more
wiley +1 more source
Democratizing environmental impact assessment: An AI-augmented framework for sustainable building design. [PDF]
Nouri A, Hu M.
europepmc +1 more source
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig +11 more
wiley +1 more source
From data to treatment plan: An AI-driven path for automated breast radiotherapy planning. [PDF]
Gallego P +17 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
Validation of the Dental Age app for automated dental age estimation using Demirjian's method. [PDF]
Abuabara A +9 more
europepmc +1 more source

