Results 151 to 160 of about 386,074 (314)

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source

[Resident Intern Specialist Training (MIR) Core Subjects: learning from errors]. [PDF]

Aten Primaria, 2019
Martín Zurro A.
europepmc   +1 more source

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM

, 2017
J. M. Górriz, Javier Ramı́rez, John Suckling, Ignacio Alvarez Illan, Andrés Ortíz, Francisco J. Martínez-Murcia, F. Segovia, D. Salas‐Gonzalez, Shuihua Wang   +8 more
openalex   +1 more source

Fronto-temporal white matter connectivity predicts reversal learning errors [PDF]

, 2015
Kylie H. Alm, Tyler Rolheiser, Feroze B. Mohamed, Ingrid R. Olson   +3 more
openalex   +1 more source

Estimating the Security of Ring Learning with Errors (RLWE)

, 2022
Jeremy Kun
openalex   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Learning from errors: assessing final year medical students' reflection on safety improvement, five year cohort study. [PDF]

BMC Med Educ, 2018
Tully V, Murphy D, Fioratou E, Chaudhuri A, Shaw J, Davey P.   +5 more
europepmc   +1 more source

Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties

Advanced Functional Materials, EarlyView.
Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon, Raúl López‐Martín, Verner Håkonsen, Nader Yaacoub, Francisco J. Terán, Alberto López Ortega, Jose A. De Toro, Gurvinder Singh   +7 more
wiley   +1 more source

Learning from errors and failure in educational contexts: New insights and future directions for research and practice. [PDF]

Br J Educ Psychol
Narciss S, Alemdag E.
europepmc   +1 more source

Pearce-Hall error learning theory

, 2008
Geoffrey Hall
openalex   +1 more source