Results 271 to 280 of about 8,409,785 (376)

Repetitive building: application of the learning curve to the building industry

, 1966
C.D. Vincent
openalex   +1 more source

Ship Navigation Control Strategy in Curved River Sections Based on Deep Learning

Jianxia Wan, S. Zhang
openalex   +1 more source

Alkali Ion‐Incorporated HfO2 Dielectrics for Reconfigurable Neuromorphic Computing

Advanced Functional Materials, EarlyView.
This work presents an indium gallium zinc oxide (IGZO) transistor with an alkali cation‐integrated hafnium dioxide (HfO2) dielectric exhibiting synaptic behavior via ion retention. The solution‐based film fabrication strategy overcomes the limitations of atomic layer deposition (ALD) and precursor coating, enabling the control of synaptic retention ...
Seung Yeon Ki, In Cheol Kwak, Seonkwon Kim, Jihyun Kim, Dong Gue Roe, Se‐Jin Kim, Joohoon Kang, Jeong Ho Cho   +7 more
wiley   +1 more source

Radiofrequency Ablation for Thyroid Nodules (RATED Study)-Analysis of a Learning Curve and Predictors of Success.

J Clin Endocrinol Metab
van der Meeren MMD, Boers T, de Graaf P, Duvivier KM, Dreijerink KMA, Deden LN, Veendrick P, Cernohorsky P, Joosten FBM, Savelberg ABMC, Braak SJ, Roerink SHPP, Versluis M, Manohar S, Oyen WJG.   +14 more
europepmc   +1 more source

Learning Curve of Cardiac Surgery Residents in Transit-Time Flow Measurement and High-Resolution Epicardial Ultrasonography During Coronary Surgery. [PDF]

J Clin Med
Cammertoni F, Di Giammarco G, Testa N, Pavone N, Marcolini A, D'Avino S, Bruno P, Grandinetti M, Bianchini F, Trapani AE, Massetti M.   +10 more
europepmc   +1 more source

Intermixing‐Driven Growth of Highly Oriented Indium Phosphide on Black Phosphorus

Advanced Functional Materials, EarlyView.
This study demonstrates controlled intermixing and compound formation at the In/black phosphorus (BP) interface, leading to highly oriented InP formation. Comprehensive structural and electrical analyses reveal tunable bandgap behavior governed by competing BP thinning and charge‐transfer effects, underscoring the critical role of interfacial compound ...
Tae Keun Yun, Min Gyeong Shin, Uje Choi, Jieun Yeon, Jae Joon Kim, Yangjin Lee, Kwanpyo Kim   +6 more
wiley   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

Augmented reality-based portable navigation improves accuracy of cup placement in total hip arthroplasty with a short learning curve. [PDF]

BMC Musculoskelet Disord
Tachibana T, Katagiri H, Ogawa T, Saito R, Jinno T.   +4 more
europepmc   +1 more source

Prostate MRI learning curves: establishing training benchmarks for radiology and urology trainees

Pavel Stegarescu, Egon Burian, A.M. Lutz, Nathan Perlis, Ulrich Grosse, Nemanja Avramovic, Stoyan Benev, Constantin Bolz, Pia Götz, Marc Koschler, Joana Kostova, Ana Macek, Abigail Martin Mens, Khashayar Namdar, Ioan Popa, Aileen Satari, Sydney A. Schmidt, Feri Töckelt, Roman Wiegele, Jan Klein, Thomas Herrmann, Gustav Andreisek, Dominik Deniffel   +22 more
openalex   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source