Results 101 to 110 of about 241,206 (292)
Optimization of Naringenin Self-Nano Emulsifying Drug Delivery System (SNEDDS) Formula with D-optimal Mixture Design Method [PDF]
This study aimed to optimize and formulate the poorly water-soluble naringenin in the Self-Nano Emulsifying Drug Delivery System (SNEDDS) using D-optimal mixture design. D-optimal mixture design was used to optimize SNEDDS loading naringenin by selecting
Kuncahyo, Ilham +2 more
core +1 more source
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
: In mixture experiments, the factors under study are proportions of the ingredients of a mixture. The special nature of the factors in a mixture experiment necessitates specific types of regression models, and specific types of experimental designs. Al-
Goos, Peter +2 more
core
D-Optimal Design for Mixture Process Variable with Split-Plot Approach Using a Genetic Algorithm
Mixture-process variables (MPV) is an experiment that responds not only to the proportions of the components but also to the conditions of the process. The impact of MPV is a large number of experimental runs.
Utami Dyah Syafitri +2 more
core
Corn silk (CS), the long, silky fibers surrounding corn kernels, is recognized for its diuretic, anti-inflammatory, and antioxidant properties, and is beneficial for managing conditions such as cystitis, gout, and obesity.
Ankita Sharma +6 more
doaj +1 more source
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
D-Optimal Design for Mixture Amount Experiment Involving Split-Plot Design
A mixture amount experiment (MAE) is a design that depends on the proportions of the ingredients and the total amounts. The classical MAE contains the classical mixture experiment on each total amount.
Utami Dyah Syafitri +2 more
core
In mixture experiments, the observed response is determined by the relative proportions of the components, consequently rendering the experimental region a simplex.
Jiawei Bao, Yu Tang
doaj +1 more source
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Extensions of D-optimal Minimal Designs for Symmetric Mixture Models.
The purpose of mixture experiments is to explore the optimum blends of mixture components, which will provide desirable response characteristics in finished products.
Raghavarao, Damaraju +2 more
core

