Results 281 to 290 of about 4,548,014 (328)
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
Minimally invasive single-stage hybrid strategy for ruptured dissecting fusiform proximal posterior inferior cerebellar artery aneurysm: how I do it. [PDF]
Duangprasert G, Tantongtip D.
europepmc +1 more source
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source
Electric vehicles charging stations load forecasting based on hybrid XGBoost-BiLSTM model. [PDF]
Mansour HSE, Mohamed AS, Abdel-Aziz M.
europepmc +1 more source
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek +4 more
wiley +1 more source
A Pilot Study for "In Vitro" Testing the Surface Conditioning Effects on CAD/CAM Hybrid Nanoceramic Adhesion. [PDF]
Iliev GV +7 more
europepmc +1 more source
Anisometric carbon nanodots are synthesized directly from a liquid crystal precursor and embedded into polymer network liquid crystals to create soft, multifunctional photonic films. These hybrid devices exhibit polarized photoluminescence, broad UV absorption, and fast, electrically tunable light modulation.
Mangesh D. Patekari +4 more
wiley +1 more source
Modified vedic multiplier architecture using Nikhilam and Karatsuba algorithms with hybrid adders for enhanced performance. [PDF]
A S, A S.
europepmc +1 more source
A hybrid anode composed of Cl‐functionalized curved nanographene and graphite enables ultra‐fast charging and long cycle life through an engineered morphology and sequential Li+ insertion. It delivers 100 mAh g−1 at 5 C with 70% capacity retention after 1000 cycles and maintains stable performance over 2000 cycles in pouch cells, providing a practical ...
Hyunji Cha +8 more
wiley +1 more source

