Amazon says it will allow authors to offer their DRM-free e-books in the EPUB and PDF formats through its self-publishing platform, Kindle Direct Publishing. Starting on January 20, 2026, authors who ...

Schug discusses the role of surrogate modelling in chromatographic method development and process optimization. Surrogate modelling is emerging as a powerful tool in chromatographic method development ...

Department of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea Division of Smart Energy Convergence Engineering, Korea University, 2511 Sejong-ro, Sejong ...

Join host Neil Lander as he welcomes Katy Rhynard, Associate Director of Laboratory Informatics at Gilead Sciences. In this episode, Katy discusses the intricacies of validating chromatographic ...

Table 8 shows the mean values of the OQS values corresponding to each level and their ranges for the MIM process parameters using the Taguchi method. IP: 350 bar, IT: 140 °C, PL: 64.5%vol, MT: 45 °C, ...

Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. Generative engine ...

ABSTRACT: The task of selecting robotic mechanic assembly technologies (RMAT) is considered as a multi-criteria optimization task, which in this formulation is solved on the set of previously obtained ...

Group Relative Policy Optimization (GRPO) is a novel reinforcement learning method introduced in the DeepSeekMath paper earlier this year. GRPO builds upon the Proximal Policy Optimization (PPO) ...

Abstract: Due to the pivotal role of metamaterial absorbers in enhancing electromagnetic (EM) wave control and management, the optimization for metamaterial absorbers has garnered increasing attention ...

Multitask learning (MLT) involves training a single model to perform multiple tasks simultaneously, leveraging shared information to enhance performance. While beneficial, MLT poses challenges in ...