Results 81 to 90 of about 471,125 (347)
Blocked regular fractional factorial designs with minimum aberration [PDF]
Annals of Statistics 2006, Vol. 34, No. 5, 2534-2553, 2007 This paper considers the construction of minimum aberration (MA) blocked factorial designs. Based on coding theory, the concept of minimum moment aberration due to Xu [Statist. Sinica 13 (2003) 691--708] for unblocked designs is extended to blocked designs.
arxiv +1 more source
Enhancing the performance of an in vitro RNA biosensor through iterative design of experiments
Biotechnology Progress, EarlyView.Abstract The quality control of RNA has become increasingly crucial with the rise of mRNA‐based vaccines and therapeutics. However, conventional methods such as LC–MS often require specialized equipment and expertise, limiting their applicability to high throughput experiments.
Rochelle Aw, Karen Polizzi
wiley +1 more source
Nonconventional Techniques in Plant Alkaloid Extraction: A Decade of Progress (2014–2023)
Chemistry &Biodiversity, EarlyView.This figure seeks to represent the evolution of the different unconventional approaches that were adopted for the extraction of plant‐derived alkaloids during the decade from 2014 to 2023. ABSTRACT Plant metabolism encompasses primary and secondary pathways, with secondary metabolism yielding diverse natural products crucial for plant adaptation and ...
Victor Menezes Sipoloni +5 more
wiley +1 more source
Indicator function and complex coding for mixed fractional factorial designs [PDF]
arXiv, 2007 In a general fractional factorial design, the $n$-levels of a factor are coded by the $n$-th roots of the unity. This device allows a full generalization to mixed-level designs of the theory of the polynomial indicator function which has already been introduced for two level designs by Fontana and the Authors (2000). the properties of orthogonal arrays
arxiv
Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash [PDF]
arXiv, 2023 This paper investigates an approach to both speed up business decision-making and lower the cost of learning through experimentation by factorizing business policies and employing fractional factorial experimental designs for their evaluation. We illustrate how this method integrates with advances in the estimation of heterogeneous treatment effects ...
arxiv
ChemCatChem, EarlyView.Thermal enhancement of TiO2/Cu photocatalysis boosts H2 production from 3,847 µmol g−1 h−1 at 40°C to 10,421 µmol g−1 h−1 at 70 °C. Elevated temperatures improve charge separation and reaction kinetics while maintaining catalyst stability. The synergistic photothermal approach demonstrates Cu/TiO2 as an efficient, noble‐metal‐free system for ...
Emanoel J. R. Sousa +9 more
wiley +1 more source
Toxicity treatment of tobacco wastes using experimental design by filamentous fungi
Heliyon, 2021 Cigarette product waste contains toxic chemicals, including human carcinogens, which leach into and accumulate in the environment and represent a current environmental problem neglected for too long.
William Bartolomeu Medeiros +3 more
doaj
Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments [PDF]
arXiv, 2021 Statisticians recommend the Design and Analysis of Experiments (DAE) for evidence-based research but often use tables to present their own simulation studies. Could DAE do better? We outline how DAE methods can be used to plan and analyze simulation studies.
arxiv
Optimal Conditions Linked to the Reducing Agent on the Role of Morphology of Silver Nanoparticles
Chemical Engineering &Technology, EarlyView.Thus, the relevance of the present work is the prediction and control of the nanometric particle size range, which is necessary for an efficient silver nanoparticle application in different technological fields. Besides, this work demonstrated how to determine the operating conditions to minimize or maximize the size of the nanoparticles to attend to a
Estela M. F. de Sá +5 more
wiley +1 more source
Causal Inference for Multiple Treatments using Fractional Factorial Designs [PDF]
arXiv, 2019 We consider the design and analysis of multi-factor experiments using fractional factorial and incomplete designs within the potential outcome framework. These designs are particularly useful when limited resources make running a full factorial design infeasible. We connect our design-based methods to standard regression methods.
arxiv