Results 111 to 120 of about 6,561,703 (356)
A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation
, 2014 The fast and accurate modelling of thermal errors in machining is an important aspect for the implementation of thermal error compensation. This paper presents a novel modelling approach for thermal error compensation on CNC machine tools.
Longstaff, Andrew P. +7 more
core +1 more source
Molecular Oncology, EarlyView.EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source
Meta-analysis of human prediction error for incentives, perception, cognition, and action
Neuropsychopharmacology, 2022 P. Corlett, J. Mollick, H. Kober
semanticscholar +1 more source
The Dopamine Prediction Error: Contributions to Associative Models of Reward Learning
Frontiers in Psychology, 2017 Phasic activity of midbrain dopamine neurons is currently thought to encapsulate the prediction-error signal described in Sutton and Barto’s (1981) model-free reinforcement learning algorithm.
Helen Nasser +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
, 2015 Thermal errors can have a significant effect on CNC machine tool accuracy. The thermal error compensation system has become a cost-effective method of improving machine tool accuracy in recent years.
Longstaff, Andrew P. +3 more
core
Reduced prediction error responses in high- as compared to low-uncertainty musical contexts
bioRxiv, 2018 Theories of predictive processing propose that prediction error responses are modulated by the certainty of the predictive model or precision. While there is some evidence for this phenomenon in the visual and, to a lesser extent, the auditory modality ...
David Ricardo Quiroga‐Martinez +4 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
, 2015 Thermal errors are often quoted as being the largest contributor to CNC machine tool errors, but they can be effectively reduced using error compensation.
Longstaff, Andrew P. +4 more
core +1 more source
Does prediction error drive one-shot declarative learning?
Journal of Memory and Language, 2017 Highlights • Role of prediction errors (PE) in human one-shot declarative learning.• PE is manipulated via previous experiences (priors) and sensory inputs (evidence).• PE leads to superior memory across 5 different experiments.• Support for Predictive ...
A. Greve +4 more
semanticscholar +1 more source