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Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Pasig City Mayor Vico Sotto once again charmed the internet with his candid humor after leaving a comment on the Pasig City Public Information Office’s Facebook post. The PIO had shared photos from ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this paper, we introduce a methodology to improve upon the ...

Abstract: This paper proposes a scalable, matrix-free approach to kernel-based regularization for finite impulse response estimation. Our methodology is based on Bayesian optimization, a gradient-free ...

Correspondence to Dr Ada Tang, School of Rehabilitation Sciences, McMaster University Faculty of Health Sciences, Hamilton, Canada; atang{at}mcmaster.ca Objective To determine the superiority of ...

Abstract: In early phases of electric vehicle development, powertrain design requires a system-level approach with sufficiently accurate component models. This paper presents optimization frameworks ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Antibody engineering requires a delicate balance between enhancing binding affinity ...