Results 221 to 230 of about 168,133,245 (277)

Dataset on the reproducibility of UHPC mechanical properties under a fixed recipe with controlled production variability. [PDF]

Sci Data
Rezazadeh F, Abrishambaf A, Zimmermann G, Kroll A.   +3 more
europepmc   +1 more source

Artificial Intelligence in the Design and Development of Nanoparticle Drug Delivery Systems: A Systematic Review. [PDF]

Adv Pharmacol Pharm Sci
Haddad R.
europepmc   +1 more source

Development and Optimisation of a Stability-Indicating Analytical Method for Itraconazole in Drug Product by High-Performance Liquid Chromatography Using a QbD Approach. [PDF]

Pharmaceuticals (Basel)
Fraschi-Nieto A, Mula-Roldán X, Gavaldà-Cánovas L, Mercadé-Frutos D, García-Montoya E, Suñé-Pou M, Pérez-Lozano P.   +6 more
europepmc   +1 more source

Optimisation of Bioinspired Fibre Architectures for 3D-Printed Polymer Heart Valves via Melt Electrowriting (MEW) Using FE Modelling and Design of Experiments (FE-DOE). [PDF]

Biomimetics (Basel)
Hughes C, Johnston RD, Armfield D, McCarthy D, Klusak E, Growney E, Campbell E, Lally C.   +7 more
europepmc   +1 more source

Defining Composition-Cytokine Relationships Enables the Design of Lipid Nanoparticles with Programmed Immunogenicity. [PDF]

Small
Walters AA, Hanafy BI, Lu CE, Marelli S, Zam A, Liu K, Foreman RE, Soundararajan R, Collin P, Lindfors L, Sabirsh A, Mazza M, Al-Jamal KT, Bates SM, Thom G, Rehwinkel J, Kapustin AN.   +16 more
europepmc   +1 more source

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Design of Experiments (DOE) 101

On-Demand Webinars, 2022
ABSTRACT Co-organized by the Intermountain, Silicon Valley, and Upper Midwest Chapters Technical Presentations: 1. Professor Ron Lasky, PhD, PE, Dartmouth College and Senior Technologist, Indium Corporation
Ron Lasky, Chrys Shea
openaire   +1 more source

Making Design of Experiments (DOE) accessible for everyone

Proceedings of the XX Brazilian Symposium on Human Factors in Computing Systems, 2021
The increasing use of artificial intelligence technologies in several areas of knowledge highlights the need to design solutions for people with different backgrounds and skills. Since data collection to use such technologies and obtain reliable results is still a challenge, the statistical technique of Design of Experiments (DOE) can be applied to ...
Fabiani de Souza, Gabriela Vechini, Graziella Cardoso Bonadia   +2 more
openaire   +2 more sources

Statistical Design of Experiments (DoE)

2021
In a cause–effect relationship, the design of experiments (DoE) is a means and method of determining the interrelationship in the required accuracy and scope with the lowest possible expenditure in terms of time, material, and other resources. In experiments, the question concerning which type and level of effect the influencing variables have on the ...
Hartmut Schiefer, Felix Schiefer
openaire   +1 more source

Design of Experiment (DOE) for Optimization of PLGA Nanoparticles

The FASEB Journal, 2022
Abstract Design of Experiments (DOE) is useful tool for formulation optimization. In present study, Design Expert® software (version 13) was used for optimization of Poly(dl‐lactide‐co‐glycolide) (50:50) (PLGA) nanoparticles (NPs). Capecitabine, an approved anticancer drug with short half‐life, was used as model
Ritu Gupta, Huan Xie, Mahua Sarkar, Yuan Chen   +3 more
openaire   +1 more source

Design of experiments (DoE) to develop and to optimize extraction of psychoactive substances

Analytical Methods, 2023
The design of experiments (DoE) method was employed to optimize the adsorption processes of seven psychoactive substances in environmental water samples. The analytes were determined by UHPLC-MS/MS.
Tiantian Tang, Wanyi Chen, Lixian Li, Shurui Cao   +3 more
openaire   +2 more sources