An Alzheimer's disease category progression sub-grouping analysis using manifold learning on ADNI.

Many current statistical and machine learning methods have been used to explore Alzheimer's disease (AD) and its associated patterns that contribute to the disease. However, there has been limited success in understanding the relationship between cognitive tests, biomarker data, and patient AD category progressions. In this work, we perform exploratory data analysis of AD health record data by analyzing various learned lower dimensional manifolds to separate early-stage AD categories further.

Automated recognition of the cricket batting backlift technique in video footage using deep learning architectures.

There have been limited studies demonstrating the validation of batting techniques in cricket using machine learning. This study demonstrates how the batting backlift technique in cricket can be automatically recognised in video footage and compares the performance of popular deep learning architectures, namely, AlexNet, Inception V3, Inception Resnet V2, and Xception. A dataset is created containing the lateral and straight backlift classes and assessed according to standard machine learning metrics.

Enzyme-assisted process for DAG synthesis in edible oils.

This study deals with the enzymatic synthesis of diacylglycerols in rapeseed oil by the esterification of free fatty acids and monoacylglycerols. As enzymatic reactions are influenced by many factors, a statistical design of experiments was conducted to investigate the enrichment of diacylglycerols, systematically. Simultaneously, the investigated method contributes to the refining process, as the amount of free fatty acids could be reduced significantly from 2% to 0.

Enzymatic esterification of free fatty acids in vegetable oils utilizing different immobilized lipases.

Different immobilized lipases were screened for their ability to esterify free fatty acids (FFA) with monoacylglycerol (MAG) as acyl-group acceptor. A lipase from Rhizomucor miehei (Lipozyme RMIM) was the most suitable for lipase-catalyzed de-acidification-a promising alternative to conventional neutralization. A reduction of the FFA content to 0.