Charged aerosol detection in early and late-stage pharmaceutical development: selection of regression models at optimum power function value

2021 ◽  
Vol 1641 ◽  
pp. 461997
Author(s):  
Imad A. Haidar Ahmad ◽  
Andrei Blasko ◽  
Heather Wang ◽  
Tian Lu ◽  
Ian Mangion ◽  
...  
2021 ◽  
Vol 70 (1) ◽  
pp. 29-37
Author(s):  
Корнюшко В.Ф. ◽  
О.М. Николаева ◽  
Биглов Р.Р. ◽  
К.Ю. Колыбанов ◽  
О.А. Филоретова

The article discusses the problem of creating an algorithmic and informational support for the pharmaceutical development of ready-made medicines (GLF) medicines in solid form. For the system implementation of the algorithms for the development of GLF on the basis of the principle of QbD (quality-by-design - quality planned during development) it is proposed to apply the methodology of system design based on the principle (diagrams) of Demming. The algorithms for modeling and optimizing the selection of the technology platform for the pharmaceutical development of GLF medicines in solid form are given. The block scheme of the developed algorithm of the simulation and optimization process based on multi-tissue regression models and the online algorithm of optimization of Huka-Jeeves is presented. Testing of the developed algorithmic and software on the example of the development of the drug diphenhydramine.


2021 ◽  
Vol 213 ◽  
pp. 106676
Author(s):  
Saeed Mohammadiun ◽  
Guangji Hu ◽  
Abdorreza Alavi Gharahbagh ◽  
Reza Mirshahi ◽  
Jianbing Li ◽  
...  

2017 ◽  
Vol 47 (5) ◽  
Author(s):  
Priscila Becker Ferreira ◽  
Paulo Roberto Nogara Rorato ◽  
Fernanda Cristina Breda ◽  
Vanessa Tomazetti Michelotti ◽  
Alexandre Pires Rosa ◽  
...  

ABSTRACT: This study aimed to test different genotypic and residual covariance matrix structures in random regression models to model the egg production of Barred Plymouth Rock and White Plymouth Rock hens aged between 5 and 12 months. In addition, we estimated broad-sense heritability, and environmental and genotypic correlations. Six random regression models were evaluated, and for each model, 12 genotypic and residual matrix structures were tested. The random regression model with linear intercept and unstructured covariance (UN) for a matrix of random effects and unstructured correlation (UNR) for residual matrix adequately model the egg production curve of hens of the two study breeds. Genotypic correlations ranged from 0.15 (between age of 5 and 12 months) to 0.99 (between age of 10 and 11 months) and increased based on the time elapsed. Egg production heritability between 5- and 12-month-old hens increased with age, varying from 0.15 to 0.51. From the age of 9 months onward, heritability was moderate with estimates of genotypic correlations higher than 90% at the age of 10, 11, and 12 months. Results suggested that selection of hens to improve egg production should commence at the ninth month of age.


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