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Deep learning method enables efficient Boltzmann distribution sampling across a continuous temperature range
A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...
The findings suggest these ghost elephants survived Angola’s war by never leaving—adapting instead by becoming invisible. “I ...
You have full access to this article via your institution. Figure 2: Performance of the KIC loop reconstruction protocol. The described state-of-the-art loop ...
Abstract: With the advancement of embodied intelligence technology, continuous-time reinforcement learning (CTRL) in dynamical systems has shown promising potential in various robotic applications and ...
Our goal was to study the feasibility of continuous noninvasive finger blood pressure (BP) monitoring in very young children, aged 0–4 y. To achieve this, we designed a set of small-sized finger cuffs ...
Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...
Abstract: To tackle blind search, high computational complexity, and slow convergence in traditional RRT algorithms, this paper introduces an improved algorithm, G-RRT*, which integrates goal bias and ...
Objectives: This study aims to comprehensively evaluate the impact of continuous versus intermittent enteral feeding regimens on feeding tolerance in critically ill patients during clinical practice.
Introduction: Mass dog vaccination (MDV) is essential for eliminating dog-mediated rabies, responsible for over 95% of the estimated 74,000 annual human rabies deaths. Achieving ≥ 70% vaccination ...
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