Results 61 to 70 of about 30,305 (249)
Advancing Stroke Clinical Trials Using Community Engagement and Implementation Science Approaches
ABSTRACT Stroke clinical trials are essential for advancing stroke care but can face challenges with recruitment, retention, clinical relevance, and translation into real‐world practice. We propose that integrating community engagement and implementation science approaches into stroke trials can help address these needs.
Lesli E. Skolarus +2 more
wiley +1 more source
A New model for conducting high-frequency Trading Using Collaborative Cellular Learning Automata Algorithm and Extremal Optimization (CLA-EC-EO ) [PDF]
IntroductionAt the same time as the speed of financial exchanges increases, many complications are also added to it, and the amount of attention paid to the role of human actors in it has faded, and the method of high-frequency trading is over time.
seyed ali paytakhti oskooe +2 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Salience theory has been proposed as a new stock trading strategy. To assess the validity of this proposal, a complex decision trading system was constructed based on salience theory, a variational mode decomposition (VMD) model, a bidirectional gated ...
Qing Zhu, Jinhong Du, Yuze Li
doaj +1 more source
In order to make a comprehensive evaluation of the profit, risk prevention, profit and loss coefficient and other performance parameters of high frequency trading strategies, this paper proposes High Frequency Trading Strategy Evaluation System (SES ...
Y.W. Chen, J.F. Guo, C. Wang, N. Feng
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Distance-based High-frequency Trading
AbstractThe present paper approaches high-frequency trading from a computational science perspective, presenting a pattern recognition model to predict price changes of stock market assets. The technique is based on the feature-weighted Euclidean distance to the centroid of a training cluster. A set of micro technical indicators, traditionally employed
Travis Felker +2 more
openaire +2 more sources
What (If Anything) is Wrong with High-Frequency Trading? [PDF]
Mildenberger CD.
europepmc +1 more source

