Results 51 to 60 of about 12,027 (208)
Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson +7 more
wiley +1 more source
Superphanes: Facile and efficient preparation, functionalization and unique properties
Superphanes, compounds in which the two benzene rings clamped parallel on top of each other by six bridges, have been attracting considerable interest because of their structural beauty and symmetry.
Aimin Li +4 more
doaj +1 more source
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
A comprehensive review on the applications of chemometrics in analytical chemistry
Background: This article presents a review of the various applications of chemometrics in analytical chemistry. Chemometrics is essential to analytical chemistry because it provides sophisticated methods for extracting, analyzing, and interpreting ...
Projesh Saha +3 more
doaj +1 more source
The effectiveness of traditional Chinese medicine (TCM) against various diseases urges more low cost, speed and sensitive analytical methods for investigating the phamacology of TCM and providing a theoretical basis for clinical use.
Xiao-Hua Zhang +8 more
doaj +1 more source
Cyclodextrins are the most often applied chiral selectors in CE enantioseparations. In combination with NMR spectroscopy and molecular modeling, studies for an understanding of chiral recognition underlying enantioseparations have been performed.
Gerhard K. E. Scriba
wiley +1 more source
General (hetero)polyaryl amine synthesis via multicomponent cycloaromatization of amines
(Hetero)polyaryl amines are extensively prevalent in pharmaceuticals, fine chemicals, and materials but the intricate and varied nature of their structures severely restricts their synthesis. Here, we present a selective multicomponent cycloaromatization
Lebin Su +13 more
doaj +1 more source
Sanguinarine, a toxic alkaloid present in argemone, can lead to epidemic dropsy or chronic diseases through DNA intercalation and immune system suppression. Regulatory efforts face challenges due to economic motivations for adulteration as well as technical, social, and infrastructure barriers.
Gururaj Pejavara Narayana +4 more
wiley +1 more source
ADME-Space: a new tool for medicinal chemists to explore ADME properties
We introduce a new chemical space for drugs and drug-like molecules, exclusively based on their in silico ADME behaviour. This ADME-Space is based on self-organizing map (SOM) applied to 26,000 molecules. Twenty accurate QSPR models, describing important
Giovanni Bocci +5 more
doaj +1 more source
Chemometrics is a chemical discipline in which mathematical and statistical techniques are applied to design experiments or to analyze chemical data. An important part of chemometrics is modeling, in which one tries to relate two or more characteristics in such a way that the obtained model represents reality as closely as possible.
Estienne, Frederic +2 more
openaire +2 more sources

