Comparing different stimulus configurations for population receptive field mapping in human fMRI by Ivan eAlvarez, Benjamin A De Haas, Benjamin A De Haas, Benjamin A De Haas, Chris A Clark, Geraint eRees, Geraint eRees, D Samuel Schwarzkopf, D Samuel Schwarzkopf, D Samuel Schwarzkopf

“…We conclude that both eccentricity scaling and polar rather than Cartesian stimulus configuration are important considerations for optimal experimental design in pRF mapping. While all stimulus configurations produce adequate estimates, simultaneous wedge and ring stimulation produced higher fit reliability, with a significant advantage in reduced acquisition time.…”
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Determination of polycyclic aromatic hydrocarbons in bud-derived supplements by magnetic molecular imprinted microparticles and GC-MS: D-optimal design for a fast method optimizati... by Barbara Benedetti, Arianna Tronconi, Federica Turrini, Marina Di Carro, Dario Donno, Gabriele Loris Beccaro, Raffaella Boggia, Emanuele Magi

“…In this study, we developed a magnetic dispersive solid phase extraction (m-dSPE) based on molecularly imprinted microparticles, combined with GC-MS, to quantify the 16 priority PAHs in such extracts. The D-optimal experimental design was implemented to maximize analytes’ recovery with the smallest set of experiments. …”
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Oral delivery of indinavir using mPEG-PCL nanoparticles: preparation, optimization, cellular uptake, transport and pharmacokinetic evaluation by Masoumeh Kurd, Soroor Sadegh Malvajerd, Saeed Rezaee, Mehrdad Hamidi, Katayoun Derakhshandeh

“…IDV loaded mPEG- PCL nanoparticles prepared by emulsification solvent evaporation method were optimized using D-optimal experimental design and were characterized by various techniques such as DLS, DSC, XRD, AFM and SEM. …”
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Molecular and Cellular Markers in Chlorhexidine-Induced Peritoneal Fibrosis in Mice by Neža Brezovec, Nika Kojc, Andreja Erman, Matjaž Hladnik, Jošt Stergar, Matija Milanič, Matija Tomšič, Saša Čučnik, Snežna Sodin-Šemrl, Martina Perše, Katja Lakota

“…Understanding the tissue changes and molecular mechanisms of preclinical models is essential for creating an optimal experimental design for credible translation into clinics. …”
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Optimization Design Method for Non-Rectangular Constant Stress Accelerated Testing Considering Parameter Estimation Precision by Ping Qian, Zheng Feng, Wenhua Chen, Guotai Zhang, Jian Zhang

“…The results indicate that the optimal experimental design outperforms both the conventional experimental design and the EM experimental design in terms of precision and robustness.…”
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Designing optimal behavioral experiments using machine learning by Simon Valentin, Steven Kleinegesse, Neil R Bramley, Peggy Seriès, Michael U Gutmann, Christopher G Lucas

“…To avoid these pitfalls and realize the full potential of computational modeling, we require tools to design experiments that provide clear answers about what models explain human behavior and the auxiliary assumptions those models must make. Bayesian optimal experimental design (BOED) formalizes the search for optimal experimental designs by identifying experiments that are expected to yield informative data. …”
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Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb by Ulf W. Liebal, Sebastian Köbbing, Linus Netze, Artur M. Schweidtmann, Alexander Mitsos, Lars M. Blank

“…We applied Exp2Ipynb to seven prokaryotic expression libraries to identify optimal experimental design principles. The workflow is open source, available as Jupyter Notebooks and covers the steps to 1) generate a statistical overview to sequence and activity, 2) train machine-learning algorithms, such as random forest, gradient boosting trees and support vector machines, for prediction and extraction of feature importance, 3) evaluate the performance of the estimator, and 4) to design new sequences with a desired activity using numerical optimization. …”
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Cell uptake and intracellular trafficking of bioreducible poly(amidoamine) nanoparticles for efficient mRNA translation in chondrocytes by Adriano P. Pontes, Steffen van der Wal, Saketh R. Ranamalla, Karin Roelofs, Ioan Tomuta, Laura B. Creemers, Jaap Rip

“…Finally, we applied a D-optimal experimental design to test different polymer-to-RNA loading ratios and dosages, thus obtaining an optimal formulation with up to ≈80% of GFP-positive cells and without toxic effects. …”
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Designing experiments to discriminate families of logic models by Santiago eVidela, Santiago eVidela, Santiago eVidela, Santiago eVidela, Irina eKonokotina, Leonidas eAlexopoulos, Julio eSaez-Rodriguez, Torsten eSchaub, Anne eSiegel, Anne eSiegel, Carito eGuziolowski

“…This family is composed of logic models implementing different internal wirings for the system and therefore the predictions of experiments from this family may present a significant level of variability, and hence uncertainty.In this paper, we introduce a method based on Answer Set Programming to propose an optimal experimental design that aims to narrow down the variability (in terms of input-output behaviors) within families of logical models learned from experimental data. …”
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Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery by Xiaoning Qian, Byung-Jun Yoon, Raymundo Arróyave, Xiaofeng Qian, Edward R. Dougherty

“…The current state-of-the-art methods in knowledge-based prior construction, model fusion, uncertainty quantification, optimal experimental design, and symbolic regression are detailed in the review, along with several detailed case studies and results in materials discovery.…”
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An exercise in selecting low-cost air quality sensor placements within an urban environment by Boghozian, Adrianna J.(Adrianna Judith)

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GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN by Huan, Xun, Marzouk, Youssef M.

“…Optimal experimental design (OED) seeks experiments expected to yield the most useful data for some purpose. …”
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Formulation and evaluation of effervescent josaphine pineapple tablets by Mohd Rosdan, Faridatul Ain

“…This study is mainly undertaken to design and optimize an effervescent tablet formulation of the Josapine pineapple by using the D-optimal experimental design methodology. This thesis is presented in two major parts namely, an evaluation of physicochemical properties of Josapine pineapple pulp and freeze-dried powder using Principal Component Analysis (PCA) and the optimization of an effervescent pineapple tablet formulation by using mixture design. …”
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Using the Response Surface Methodology to Treat Tannery Wastewater with the Bicarbonate-Peroxide System by Néstor A. Urbina-Suarez, Cristian J. Salcedo-Pabón, German L. López-Barrera, Janet B. García-Martínez, Andrés F. Barajas-Solano, Fiderman Machuca-Martínez

“…A bicarbonate-peroxide (BAP) system was evaluated to improve the quality of industrial tannery wastewater using an I-optimal experimental design with four variables (temperature, initial pH, bicarbonate, and H₂O₂ concentration). …”
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A Proposal for a Data-Driven Approach to the Influence of Music on Heart Dynamics by Ennio Idrobo-Ávila, Humberto Loaiza-Correa, Flavio Muñoz-Bolaños, Leon van Noorden, Rubiel Vargas-Cañas

“…The present work provides a methodological framework to examine the effect of sound on ECG and HRV with the aim of associating musical structures and noise to the signals by means of artificial intelligence (AI); it first presents a way to select experimental study subjects in light of the research aims and then offers possibilities for selecting and producing suitable sound stimuli; once sounds have been selected, a guide is proposed for optimal experimental design. Finally, a framework is introduced for analysis of data and signals, based on both conventional as well as data-driven AI tools. …”
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Covering the Combinatorial Design Space of Multiplex CRISPR/Cas Experiments in Plants by Kirsten Van Huffel, Michiel Stock, Tom Ruttink, Bernard De Baets

“…As such, it holds great potential for application in plant systems to discover genetic interactions and to improve polygenic agronomic traits in crop breeding. However, optimal experimental design regarding coverage of the combinatorial design space in multiplex CRISPR/Cas screens remains largely unexplored. …”
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Mesenchymal stem cells in preclinical cancer cytotherapy: a systematic review by Ioannis Christodoulou, Maria Goulielmaki, Marina Devetzi, Mihalis Panagiotidis, Georgios Koliakos, Vassilis Zoumpourlis

“…Importantly, we dissect the commonalities and differences as well as address the shortcomings of work accumulated over the last two decades and discuss how this information can serve as a guide map for optimal experimental design implementation ultimately aiding the effective transition into clinical trials.…”
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Bayesian experimental design and parameter estimation for ultrafast spin dynamics by Zhantao Chen, Cheng Peng, Alexander N Petsch, Sathya R Chitturi, Alana Okullo, Sugata Chowdhury, Chun Hong Yoon, Joshua J Turner

“…To address these limitations, we introduce a methodology that leverages the Bayesian optimal experimental design paradigm to efficiently uncover key quantum spin fluctuation parameters from x-ray photon fluctuation spectroscopy (XPFS) data. …”
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Preparation and optimization of a lignin-based pressure-sensitive adhesive by Jeanne Gendron, Charles Bruel, Yacine Boumghar, Daniel Montplaisir

“…. • Influence of 5 compositional or processing parameters on adhesive performance through a 2-steps d-optimal experimental design. • Development of a new method, based on peel-off losses, to assess the performance of a PSA.…”
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Multi-Objective Modified Differential Evolution Methods for the Optimal Parameters of Aluminum Friction Stir Welding Processes of AA6061-T6 and AA5083-H112 by Peerawat Luesak, Rapeepan Pitakaso, Kanchana Sethanan, Paulina Golinska-Dawson, Thanatkij Srichok, Peerawat Chokanat

“…The controlled welding parameters were shoulder diameter, rotation speed, welding speed, tilt angle, pin type, reinforcement particle type, and tool pin movement direction. The D-optimal experimental design method was used to create the experiment and obtain the mathematical model for optimizing the targeted objectives. …”
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