Results 51 to 60 of about 2,293 (256)
ABSTRACT Nutritional information is very important in the food choices of consumers. However, when they are too scientific or technical, they have the potential to confuse consumers, resulting in information asymmetry and dissuading them from making beneficial choices.
Edeoba W. Edobor +3 more
wiley +1 more source
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
Fahima M Hashem,1 Majid M Al-Sawahli,2 Mohamed Nasr,1 Osama AA Ahmed3,4 1Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Helwan University, Cairo, Egypt; 2Holding Company for Biological Products and Vaccines (VACSERA ...
Hashem FM +3 more
doaj
Construction of Designs for Cropping Sequence Experiments in Fractional Replication
Cropping sequence experiments are getting more popularize in the recent era of agriculture. Here, estimation of main effects applied in every season as well as residual effect and their interaction with application in next season are important for ...
Sukanta Dash +3 more
doaj +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Fiber glass products are widely used in the industry. High quality fiberglass product requires a composition and to obtain the optimal composition, an experiment needs to be done.
Suryanata Rahardja, Jani Rahardjo
doaj
Robust Parameter Designs Constructed from Hadamard Matrices
The primary objective of robust parameter design (RPD) is to determine the optimal settings of control factors in a system to minimize response variance while achieving a desirable mean response.
Yingfu Li, Kalanka P. Jayalath
doaj +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Resolution Iv Fractional Factorial Designs
Summary Fractional factorial designs of resolution IV permit estimation of all the main effects with no aliasing by two-factor interactions. This paper produces a lower bound for the number of observations required for a general fractional factorial design to be of resolution IV. This lower bound agrees with a lower bound obtained by Rao
openaire +2 more sources

