AIMC Topic: Plant Extracts

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Fast screening and identification of illegal adulteration in dietary supplements and herbal medicines using molecular networking with deep-learning-based similarity algorithms.

Analytical and bioanalytical chemistry
Liquid chromatography-high-resolution mass spectrometry (LC-HRMS) is a powerful analytical tool used for adulteration inspection. Nevertheless, it is a challenging task to identify illegal adulterants that are not included in the library or are unexp...

Extracts of Jamun seeds inhibited the growth of human (Hep-2) cancer cells.

Journal of cancer research and therapeutics
INTRODUCTION: In the last century, the human laryngeal epithelioma has become a life-threatening disease leading to a high rate of mortality worldwide. The current investigation is focusing on the antiproliferative effect of Eugenia jambolana seed ex...

Multi-Object Detection in Security Screening Scene Based on Convolutional Neural Network.

Sensors (Basel, Switzerland)
The technique for target detection based on a convolutional neural network has been widely implemented in the industry. However, the detection accuracy of X-ray images in security screening scenarios still requires improvement. This paper proposes a ...

Deep learning applied to analyze patterns from evaporated droplets of Viscum album extracts.

Scientific reports
This paper introduces a deep learning based methodology for analyzing the self-assembled, fractal-like structures formed in evaporated droplets. To this end, an extensive image database of such structures of the plant extract Viscum album Quercus [Fo...

Effect of clove on improving running ability in aging mice.

Journal of food biochemistry
In this study, a D-galactose-induced aging mouse model was established, and Syringa oblata Lindl. extract (SOLE) was administered orally to observe the effect and mechanism of SOLE on the running ability of aging mice. The role of SOLE was evaluated ...

Explainable deep drug-target representations for binding affinity prediction.

BMC bioinformatics
BACKGROUND: Several computational advances have been achieved in the drug discovery field, promoting the identification of novel drug-target interactions and new leads. However, most of these methodologies have been overlooking the importance of prov...

Raman spectroscopy for on-line monitoring of botanical extraction process using convolutional neural network with background subtraction.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Aqueous extraction is the most common and cost-effective means of obtaining active ingredients from medicinal plants. However, botanical extracts generally contain high pigment content and complex chemical composition posing a challenge for the proce...

NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size.

IEEE transactions on pattern analysis and machine intelligence
Neural architecture search (NAS) has attracted a lot of attention and has been illustrated to bring tangible benefits in a large number of applications in the past few years. Architecture topology and architecture size have been regarded as two of th...

Nucleosome positioning based on DNA sequence embedding and deep learning.

BMC genomics
BACKGROUND: Nucleosome positioning is the precise determination of the location of nucleosomes on DNA sequence. With the continuous advancement of biotechnology and computer technology, biological data is showing explosive growth. It is of practical ...

Object detectors involving a NAS-gate convolutional module and capsule attention module.

Scientific reports
Several state-of-the-art object detectors have demonstrated outstanding performances by optimizing feature representation through modification of the backbone architecture and exploitation of a feature pyramid. To determine the effectiveness of this ...