Results 31 to 40 of about 56,042 (290)

CRYPHTOR: A Memory-Unified NTT-Based Hardware Accelerator for Post-Quantum CRYSTALS Algorithms

IEEE Access
This paper presents the design and FPGA implementation of a hardware accelerator for the Post-Quantum CRYSTALS-Kyber and CRYSTALS-Dilithium algorithms, named CRYPHTOR (CRYstals Polynomial HW acceleraTOR).
Stefano Di Matteo, Ivan Sarno, Sergio Saponara   +2 more
doaj   +1 more source

NoMod: A Non-modular Attack on Module Learning With Errors

CoRR
The advent of quantum computing threatens classical public-key cryptography, motivating NIST's adoption of post-quantum schemes such as those based on the Module Learning With Errors (Module-LWE) problem. We present NoMod ML-Attack, a hybrid white-box cryptanalytic method that circumvents the challenge of modeling modular reduction by treating wrap ...
Cristian Bassotto, Ermes Franch, Marina Krcek, Stjepan Picek   +3 more
openaire   +2 more sources

Spot delivery error predictions for intensity modulated proton therapy using robustness analysis with machine learning

Journal of Applied Clinical Medical Physics, 2023
AbstractThe purpose of this work is to assess the robustness of treatment plans when spot delivery errors were predicted with a machine learning (ML) model for intensity modulated proton therapy (IMPT). Over 6000 machine log files from delivered IMPT treatment plans were included in this study.
Newpower, Mark A., Chiang, Bing‐Hao, Ahmad, Salahuddin, Chen, Yong   +3 more
openaire   +2 more sources

Estrogen modulates reward prediction errors and reinforcement learning

Nature Neuroscience
Gonadal hormones act throughout the brain and modulate psychiatric symptoms. Yet how hormones influence cognitive processes is unclear. Exogenous 17β-estradiol, the most potent estrogen, modulates dopamine in the nucleus accumbens core, which instantiates reward prediction errors (RPEs), the difference between received and expected reward. Here we show
Carla E. M. Golden, Audrey C. Martin, Daljit Kaur, Andrew Mah, Diana H. Levy, Takashi Yamaguchi, Amy W. Lasek, Dayu Lin, Chiye Aoki, Christine M. Constantinople   +9 more
openaire   +2 more sources

Multi-view Stereo Reconstruction with Context-guided Cost Volume and Depth Refinemen [PDF]

Jisuanji kexue
In response to the challenges in deep learning-based multi-view stereo(MVS) reconstruction algorithms,which include incomplete image feature extraction,ambiguous cost volume matching,and the accumulation of depth errors leading to poor reconstruction ...
CHEN Guangyuan, WANG Zhaohui, CHENG Ze
doaj   +1 more source

Dopaminergic Medication Modulates Learning from Feedback and Error-Related Negativity in Parkinson’s Disease: A Pilot Study [PDF]

Frontiers in Behavioral Neuroscience, 2016
Dopamine systems mediate key aspects of reward learning. Parkinson's disease (PD) represents a valuable model to study reward mechanisms because both the disease process and the anti-Parkinson medications influence dopamine neurotransmission. The aim of this pilot study was to investigate whether the level of levodopa differently modulates learning ...
Chiara Volpato, Sami Schiff, Silvia Facchini, Stefano Silvoni, Marianna Cavinato, Francesco Piccione, Angelo Antonini, Niels Birbaumer, Niels Birbaumer   +8 more
openaire   +3 more sources

Interpreting the effects of DNA polymerase variants at the structural level

Molecular 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, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation

Applied Bionics and Biomechanics, 2023
Visual or haptic feedback based on error modulation has been used to improve the effect of robot-assisted rehabilitation training. However, there are several investigations on the effects of error modulation-based visual and haptic feedback fusion strategies on motor learning and motivation.
Jingyan Meng, Na Li, Yang Hu, Dazheng Zhao, Guoning Li, Jingyan Hu, Tao Song, Yehao Ma, Rongzhen Fu, Guokun Zuo, Liang Tao, Min Tang, Yunfeng Liu, Changcheng Shi   +13 more
openaire   +2 more sources

Quantum Secure Pairwise Key Agreement Scheme for Fog-Enabled Social Internet of Vehicles

Mathematics
In Social Internet of Vehicles (SIoV) environments, fog computing plays a crucial role in supporting real-time services by reducing the latency inherent in cloud-based architectures.
Hyewon Park, Yohan Park
doaj   +1 more source

An error-tuned model for sensorimotor learning. [PDF]

PLoS Computational Biology, 2017
Current models of sensorimotor control posit that motor commands are generated by combining multiple modules which may consist of internal models, motor primitives or motor synergies.
James N Ingram, Mohsen Sadeghi, J Randall Flanagan, Daniel M Wolpert   +3 more
doaj   +1 more source