A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...

Abstract: In this letter, a Model Predictive Control (MPC) approach based on the Incremental Sparse Gaussian Process (ISGP) is designed for trajectory tracking of Unmanned Underwater Vehicles (UUVs).

Enterprises are rethinking VMware migrations with a factory model that delivers faster, leaner, more predictable results. In partnership withPersistent In 1913, Henry Ford cut the time it took to ...

In two experiments, researchers have found that introducing people to "mental models" about how mRNA vaccination works and how the body protects itself from foreign DNA can preemptively or reactively ...

Introduction Community participatory modelling merges participatory research approaches with mathematical modelling. Participatory approaches are grounded in the engagement of people with lived ...

Just a few years ago, object-centric process mining was a relatively new and experimental concept. Today, it has become the de facto approach to discover, monitor and improve business processes.

Introduction The COVID-19 pandemic highlighted the significance of mathematical modelling in decision-making and the limited capacity in many low-income and middle-income countries (LMICs). Thus, we ...