Executive functions (EF) are the brain’s management system, and control key skills like focus, planning, and managing ...
Background Chronic activation of the hypothalamic–pituitary–adrenal axis due to long-term stress, reflected by elevated hair ...
Researchers at the University of Tabriz have developed GCAT, a graph-convolutional adversarial transformer that detects anomalies in multivariate sensor data without labeled examples, achieving top ...
In this study, we evaluated the utility of Single Time Point (STP) prediction scores and computed tomography (CT)-based ...
Reforming the data architecture in semiconductor processes is yielding certain results through the implementation of ...
Preparing complex, high-dimensional functions represents a significant challenge for quantum computers, and researchers are actively seeking methods to overcome limitations in scalability and accuracy ...
We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that dynamically narrows the ...
Assessing multivariate normality is a fundamental prerequisite in many statistical analyses, including multivariate regression, principal component analysis and discriminant analysis. A broad spectrum ...
ABSTRACT: The carbon emissions trading markets are strongly linked to the green bond and green stock markets. To gain a deeper understanding of the complex relationships among these three markets, we ...
Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
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