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Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 4,   Pages 523-535 doi: 10.1007/s11705-021-2083-5

Abstract: The solubility data of 120 active pharmaceutical ingredients (APIs) in ethanol were considered in the

Keywords: solubility prediction     machine learning     artificial neural network     random decision forests    

Cancer and the environment: Filling knowledge gaps together

Linda S. BIRNBAUM PhD, DABT, ATS,

Frontiers of Medicine 2010, Volume 4, Issue 2,   Pages 131-133 doi: 10.1007/s11684-010-0044-3

Abstract: Another factor is the fact that “inert ingredients” are not really inert. “Low dose

Keywords: environment     genes     environmental exposure     environmental agent     persistence     chemicals     inert ingredients    

Computational design of structured chemical products

Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 5,   Pages 1033-1049 doi: 10.1007/s11705-020-2002-1

Abstract: Ingredients and internal product structure are two key drivers of product performance with direct impactThus, there is a keen interest in elucidating the dependence of product performance on ingredients, structuremethods as well as other developments in product design can work seamlessly in a proposed performance, ingredientsIt begins with the desired target properties and key ingredients.

Keywords: product design     performance     ingredients     structure     manufacturing process framework     structured chemical    

The questionnaire analysis of quality index and factors of Chinese railway survey and design

Xie Hongtao,Chen Fan

Strategic Study of CAE 2011, Volume 13, Issue 4,   Pages 96-100

Abstract:

In order to deeply understand the present situation and the main influencing factors of Chinese railway survey and design market, the questionnaire investigation was conducted. The descriptive statistics analysis, frequency analysis, correlation analysis and factor analysis have been adopted in data analysis. The status and main questions of Chinese railway survey and design market was described through the questionnaire analysis. The main influencing factors of Chinese railway survey and design market were discussed, and the corresponding countermeasures were proposed.

Keywords: survey and design     quality evaluation     competition mechanism     main ingredients     correlation analysis    

Title Author Date Type Operation

Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients

Journal Article

Cancer and the environment: Filling knowledge gaps together

Linda S. BIRNBAUM PhD, DABT, ATS,

Journal Article

Computational design of structured chemical products

Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng

Journal Article

The questionnaire analysis of quality index and factors of Chinese railway survey and design

Xie Hongtao,Chen Fan

Journal Article