Results 41 to 50 of about 34,354 (238)

Advanced Experiment Design Strategies for Drug Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Using Box–Behnken experimental design to optimize the degradation of Basic Blue 41 dye by Fenton reaction

open access: yes, 2020
Degradation of a Basic Blue 41 dye using Fenton reagent was examined at laboratory scale in batch experiments using Box-Behnken statistical experiment design.
Kiflie, Zebene   +2 more
core   +2 more sources

Production of Ceiling Board from Piliostigma Thonningii using Styrofoam Adhesive as Binder [PDF]

open access: yes, 2019
The use of synthetic fibres resulted in environmental degradation and the growing interests towards the utilisation of readily available agricultural fibres as a potential replacement for synthetic fibres.
Abdusalam, Surajudeen   +2 more
core   +2 more sources

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Optimization of paclitaxel loaded poly (ε-caprolactone) nanoparticles using Box Behnken design

open access: yesBeni-Suef University Journal of Basic and Applied Sciences, 2017
Optimization is a critical process in the development of nanoparticles to apprehend the formulation variables and quality attributes. The purpose of this study was to evaluate the influence of formulation variables viz., drug/polymer ratio (A ...
Nandhakumar Sathyamoorthy   +3 more
doaj   +1 more source

Optimization of extraction conditions of antioxidant activity from zingiber zerumbet oleoresin [PDF]

open access: yes, 2011
The health promoting capacity of natural antioxidant from phytochemicals has increase attention from researchers and public. However, processing is affecting the activity and the bioavailability of bioactive compounds.
Abdul Aziz, Ramlan   +4 more
core   +1 more source

Sustainable levulinic acid production from inulin via hydrothermal conversion

open access: yesBiofuels, Bioproducts and Biorefining, EarlyView.
Abstract This study investigates the hydrothermal conversion of inulin using potassium pyrosulfate to levulinic acid (LA). The Box–Behnken design approach was applied to optimize the conversion parameters and analyze the interactions influencing LA yield.
Gwi‐Taek Jeong
wiley   +1 more source

Optimization of Combined Pre-Treatment Process for Bleaching of Cotton Woven Fabric Using Box–Behnken Design

open access: yesJournal of Natural Fibers
The conventional bleaching process for cotton woven fabrics is characterized by high consumption of chemicals, water, and energy, resulting in significant environmental impact through elevated energy use and wastewater discharge.
Bantamlak Birlie Kassie   +2 more
doaj   +1 more source

Box-Behnken Design Optimization of Sand Casting Process Parameters

open access: yesInternational Journal of Engineering Technologies IJET, 2020
Sand casting is reputed for the manufacture of engine components as a result of its ease of operation. An assemblage of process parameters at optimal conditions leads to enhanced mechanical properties of automobile engine components. The Response Surface Methodology Design of experiment created an experimental layout for the sand casting process ...
ALIEMEKE, Blessıng Ngozı Goodluck   +1 more
openaire   +3 more sources

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi‐Fidelity Techniques

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal   +2 more
wiley   +1 more source

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