Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
A 2025 study explores allocentric and egocentric references and whether the two can be integrated simultaneously in a single ...
Background Autism spectrum disorder (ASD) is a neurodevelopmental condition characterised by impairments in social ...
Introduction Many neonatal deaths are avoidable using existing low-cost evidence-based interventions. This study evaluated ...
Abstract: This study proposes a low-level radio frequency (LLRF) feedback control algorithm based on reinforcement learning (RL) using the soft actor–critic (SAC) and proximal policy optimization (PPO ...
ABSTRACT: This paper presents a theoretical framework for parallelizing the FD3 algorithm, which estimates the capacity, information, and correlation dimensions of chaotic time series using the ...
A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...
ABSTRACT: In this paper, we investigate fixed point results for Jaggi-type F-contractions in the framework of cone b-metric spaces. Motivated by the need for faster convergence in iterative methods, ...
Meta announced on Tuesday a new Facebook algorithm update that will showcase more Reels videos tailored to users’ preferences. The update includes features that offer users greater control over the ...
Harvard Business School Dean Srikant M. Datar said HBS faculty are using artificial intelligence to advise students and evaluate their work during a Boston AI Week event on Wednesday. “When students ...
Taking a page from the private insurance industry’s playbook, the Trump administration will launch a program next year to find out how much money an artificial intelligence algorithm could save the ...
Abstract: This paper proposes a new algorithm for choosing a solution in the Pareto Optimal Front of the multi-objective optimization problem of the spectral and energy efficiency trade-off in Massive ...
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