Results 211 to 220 of about 8,409,785 (376)

Simulation-based training and learning curves in laparoscopic Roux-en-Y gastric bypass (Br J Surg 2012; 99: 887–895) [PDF]

, 2012
A. C. de Beaux
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Assisted full-endoscopic spine surgery for lumbar spinal stenosis: Technical note and learning curve. [PDF]

Brain Spine
Ono K, Fukuhara D, Yamami Y, Yamaguchi Y, Miura K, Kasuga Y, Sato K, Takamoto S, Takabayshi N, Kawaguchi H, Hirao M.   +10 more
europepmc   +1 more source

Learning curve of ultrasound-guided percutaneous nephrolithotripsy in the treatment of complex renal calculi [PDF]

Zhaoxiang Lu, Wentong Yang, Wei He
openalex   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
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, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Learning curve of totally laparoscopic distal gastrectomy for gastric cancer: a single teaching hospital study

Videosurgery and Other Miniinvasive Techniques, 2018
Feng Chi, Yuefu Lan, Shenkang Zhou, Leilei Yang, Miaoliang Chen, Tienan Bi   +5 more
doaj   +1 more source

Response to Letter to the Editor for "Meta-Analysis of Learning Curve in Endoscopic Spinal Surgery: Impact on Surgical Outcomes". [PDF]

Global Spine J
González-Murillo M, Álvarez de Mon Montoliú J.   +1 more
europepmc   +1 more source

Using In Situ TEM to Understand the Surfaces of Electrocatalysts at Reaction Conditions: Single‐Atoms to Nanoparticles

Advanced Functional Materials, EarlyView.
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, Soshan Cheong, Julie Cairney, Richard D. Tilley, Ingemar Persson   +4 more
wiley   +1 more source

The learning curve of robotic cardiac surgery: a scoping review. [PDF]

J Robot Surg
Boutros CS, Kim MJ, Diasty ME.
europepmc   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source