AIMC Topic: Plant Extracts
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DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions.
IEEE transactions on pattern analysis and machine intelligence
Apr 3, 2024
Neural Architecture Search (NAS), aiming at automatically designing neural architectures by machines, has been considered a key step toward automatic machine learning. One notable NAS branch is the weight-sharing NAS, which significantly improves sea...
Optimal Enzyme-Assisted Extraction of Phenolics from Leaves of Pongamia pinnata via Response Surface Methodology and Artificial Neural Networking.
Applied biochemistry and biotechnology
Feb 22, 2024
This research work seeks to evaluate the impact of selected enzyme complexes on the optimised release of phenolics from leaves of Pongamia pinnata. After preliminary solvent extraction, the P. pinnata leaf extract was subjected to enzymatic treatment...
Effect of Oregon grape root extracts on P-glycoprotein mediated transport in cell lines.
Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques
Jan 18, 2024
This study aims to investigate the potential of Oregon grape root extracts to modulate the activity of P-glycoprotein. We performed H-CsA or H-digoxin transport experiments in the absence or presence of two sources of Oregon grape root extracts (E1...
Antimicrobial Activity of Extract Used for Potential Application in the Prevention and Treatment of Oral Diseases.
Medicina (Kaunas, Lithuania)
Dec 21, 2023
: This study evaluated the antimicrobial effect and cytotoxic potential of the natural extract against (), the causative agent of dental caries, which is a typical oral disease, and (), which causes oral candidiasis. : was shaken in 70% ethanol f...
Nutritional, chemical and functional potential of Inga laurina (Fabaceae): A barely used edible species.
Food research international (Ottawa, Ont.)
Dec 20, 2023
Inga laurina is a plant species which produces edible fruits, and until now there is little information available concerning its nutritional, chemical and bioactive composition. In this study, we evaluated for the first time the proximate composition...
CHARACTERISATION OF RESORBABLE AND NON- RESORBABLE SUTURES COATED WITH Punica granatum SEED EXTRACT: AN in vitro PILOT STUDY.
The journal of evidence-based dental practice
Nov 11, 2023
BACKGROUND: In order to achieve uneventful and rapid healing of the tissues, a suture material should be biocompatible, easy to handle, sterile, and have good and uniform tensile strength. Hence, in the present study, characterization of the suture m...
Anti-inflammatory and urease inhibitory iridoid glycosides from Nyctanthes arbor-tristis Linn.
Journal of ethnopharmacology
Oct 30, 2023
ETHNOPHARMACOLOGICAL RELEVANCE: Nyctanthes arbor-tristis Linn. has been used by Ayruvedic physicians for the cure of different diseases including ulcers, gastric and inflammatory diseases.
Virtual screening and invitro evaluation of cyclooxygenase inhibitors from using the machine learning tool.
Journal of biomolecular structure & dynamics
Oct 30, 2023
has a variety of compounds, and some of these compounds may have anti-inflammatory and antioxidant properties. In the present study, we identified the compounds in the leaf extract of through Gas Chromatography-Mass Spectrometry (GC-MS) analysis an...
The water-soluble subfraction from Artemisia argyi alleviates LPS-induced inflammatory responses via multiple pathways and targets in vitro and in vivo.
Journal of ethnopharmacology
Oct 28, 2023
ETHNOPHARMACOLOGICAL RELEVANCE: As a traditional Chinese medicine, Artemisia argyi has been used medicinally and eaten for more than 2000 years in China. It is widely reported in treating inflammatory diseases such as eczema, dermatitis, arthritis, a...
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems.
Neural networks : the official journal of the International Neural Network Society
Oct 7, 2023
Federated Learning (FL) is a privacy-preserving distributed machine learning approach geared towards applications in edge devices. However, the problem of designing custom neural architectures in federated environments is not tackled from the perspec...
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