Results 241 to 250 of about 1,796,684 (311)
From Lab to Industry: Advancing the Translational Potential of Extracellular Vesicles Through the ISEV Translation, Regulation and Advocacy Committee (ISEV-TRA). [PDF]
Gurriaran-Rodriguez U +13 more
europepmc +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Reframing bioinformatics capacity development in Africa: from training supply to research-driven demand. [PDF]
Hussein J, Myovela H.
europepmc +1 more source
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
A Methodological Refinement for Evaluating Adoption of Priority Practices for Water Quality Improvement in Australia's Great Barrier Reef. [PDF]
Kuehne G +6 more
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Smart decision framework for financial planning and investment optimization. [PDF]
Chen X, Shen A.
europepmc +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
Applying a panel network formation model to limited partnership matching in the private capital market. [PDF]
Shang Y, Leifeld P.
europepmc +1 more source

