As artificial intelligence (AI) transitions from research to deployment, creating the appropriate
datasets and data pipelines to develop and evaluate AI models is increasingly the biggest …

Abstract Design of experiment (DoE) is a powerful statistical technique used for variable
screening and optimization. It is based on the simultaneous variation of multiple factors with …

The dominant paradigm of experiments in the social and behavioral sciences views an
experiment as a test of a theory, where the theory is assumed to generalize beyond the …

Abstract Design of experiment (DOE) is a robust design methodology that can be used to
solve various water engineering problems. It aims to obtain the maximal results from data …

The design and optimization of biological systems is an inherently complex undertaking that
requires careful balancing of myriad synergistic and antagonistic variables. However …

The current exponential increase of spatiotemporally explicit data streams from satellite-
based Earth observation missions offers promising opportunities for global vegetation …

Cardiac electrophysiology models are among the most mature and well‐studied
mathematical models of biological systems. This maturity is bringing new challenges as …

The heartening applications of capsaicin (CAP) in agro–food, cosmetic, and pharmaceutical
sectors impose their strengthening by an appropriate extraction protocol. Herein, response …

Currently applied methods for characterization and optimization of bio-pharmaceutical
processes are still strongly empirical. This often involves Design of Experiment (DoE) …

Cell-free protein synthesis has been widely used as a “breadboard” for design of synthetic
genetic networks. However, due to a severe lack of modularity, forward engineering of …