Results 91 to 100 of about 20,220 (188)
Nf=1 QCD simulation with improved gauge action at finite temperature
We study the deconfinement transition of $N_f=1$ QCD by the hybrid Monte Carlo algorithm with Wilson fermions. We calculate the Polyakov loop, its susceptibility and Binder cumulant and use the $\chi^2$ method to locate the phase transition point.
Alexandrou +18 more
core +1 more source
Objective This study investigated trajectories of patient acceptable symptom state (PASS) among participants of digital education and exercise therapy for knee and hip osteoarthritis. Methods A longitudinal observational study among individuals aged at least 40 years who participated in the digital program.
Ali Kiadaliri +3 more
wiley +1 more source
A genome‐scale model guided the systematic metabolic engineering of Saccharopolyspora spinosa, enabling a 5.5‐fold boost in the green bioinsecticide spinosad to 1.8 g L−1 and establishing an actinomycete framework for complex natural products overproduction.
Shuliu Wang +9 more
wiley +1 more source
Accurately predicting the future trajectory of road users around autonomous vehicles is crucial for path planning and collision avoidance. In recent years, data-driven vehicle trajectory prediction models have become a significant research focus, and ...
Rongjun Cheng, Xudong An, Yuanzi Xu
doaj +1 more source
SESAM and TXL Results for Wilson Action--A Status Report
Results from two studies of full QCD with two flavours of dynamical Wilson fermions are presented. At beta=5.6, the region 0.83 > m_pi/m_rho > 0.56 at m_pia > 0.23 L^{-1} is explored.
A. Spitz +60 more
core +1 more source
The Stochastic‐Dissipative Störmer Problem‐Trajectories and Radiation Patterns
We consider charged particle motion and radiation in a dipole magnetic field, in the presence of friction and of stochastic forces. The numerical solutions of the Langevin equation reveal how these forces modify the complex dynamics of particles, and they offer some new insights into the nonlinear processes relevant to planetary radiation belts ...
Tiberiu Harko, Gabriela Raluca Mocanu
wiley +1 more source
A hierarchical reinforcement learning method for persistent time-sensitive tasks [PDF]
Reinforcement learning has been applied to many interesting problems such as the famous TD-gammon and the inverted helicopter flight. However, little effort has been put into developing methods to learn policies for complex persistent tasks and tasks ...
Belta, Calin, Li, Xiao
core
Traj-Q-GPSR: A Trajectory-Informed and Q-Learning Enhanced GPSR Protocol for Mission-Oriented FANETs
Routing in flying ad hoc networks (FANETs) is hindered by high mobility, trajectory-induced topology dynamics, and energy constraints. Conventional topology-based or position-based protocols often fail due to stale link information and limited neighbor ...
Mingwei Wu +6 more
doaj +1 more source
SummaryThe traJ gene of the virulence plasmid of Salmonella enterica serovar Typhimurium (pSLT) encodes a transcriptional activator of the transfer operon. The leucine‐responsive regulatory protein (Lrp) is an activator of traJ transcription. The upstream‐activating‐sequence of the pSLT traJ promoter contains two Lrp binding sites (LRP‐1 and LRP‐
Camacho, Eva María, Casadesús, Josep
openaire +3 more sources
Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation
The widespread use of GPS devices has driven advances in spatiotemporal data mining, enabling machine learning models to simulate human decision making and generate realistic trajectories, addressing both data collection costs and privacy concerns. Recent studies have shown the promise of diffusion models for high-quality trajectory generation. However,
Zhang, Zhiyang +6 more
openaire +2 more sources

