Results 51 to 60 of about 117,515 (298)

Monocular obstacle avoidance with persistent Self-Supervised Learning

open access: yes, 2014
Raw data belonging to paper: Persistent self-supervised learning: from stereo to monocular vision for obstacle ...
van Hecke, K.G. (Kevin)
core   +1 more source

Payoff levels, loss avoidance, and equilibrium selection in the Stag Hunt: an experimental study [PDF]

open access: yes, 2007
Game theorists typically assume that changing a game’s payoff levels—by adding the same constant to, or subtracting it from, all payoffs—should not affect behavior.
Feltovich, Nicholas   +6 more
core   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

open access: yesMolecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi   +7 more
wiley   +1 more source

Mice learn to avoid regret

open access: yesPLOS Biology, 2018
Regret can be defined as the subjective experience of recognizing that one has made a mistake and that a better alternative could have been selected. The experience of regret is thought to carry negative utility. This typically takes two distinct forms: augmenting immediate postregret valuations to make up for losses, and augmenting long-term changes ...
Brian M. Sweis   +2 more
openaire   +4 more sources

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

open access: yesMolecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi   +14 more
wiley   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

Negative expectations and measurable movement mechanics: a scoping review of the nocebo effect on motor performance

open access: yesFrontiers in Human Neuroscience
IntroductionThe nocebo effect, where negative responses can occur as a result of negative expectations, has gained increasing attention in motor control research, with growing evidence highlighting its impact on both athletic and everyday movements ...
Jennifer Burgos-Tirado   +6 more
doaj   +1 more source

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

open access: yesFEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková   +3 more
wiley   +1 more source

Avoiding Jammers: A Reinforcement Learning Approach [PDF]

open access: yes2020 IEEE International Radar Conference (RADAR), 2020
This paper investigates the anti-jamming performance of a cognitive radar under a partially observable Markov decision process (POMDP) model. First, we obtain an explicit expression for uncertainty of jammer dynamics, which paves the way for illuminating the performance metric of probability of being jammed for the radar beyond a conventional signal-to-
Serkan Ak, Stefan Brüggenwirth
openaire   +2 more sources

Vision-based obstacle avoidance for a small, Low-cost robot. [PDF]

open access: yes, 2007
This paper presents a vision-based obstacle avoidance algorithm for a small indoor mobile robot built from low-cost, and off-the-shelf electronics.
Chau Nguyen Viet   +3 more
core  

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