Performance analysis of image retrieval system using deep learning techniques.

The image retrieval is the process of retrieving the relevant images to the query image with minimal searching time in internet. The problem of the conventional Content-Based Image Retrieval (CBIR) system is that they produce retrieval results for either colour images or grey scale images alone. Moreover, the CBIR system is more complex which consumes more time period for producing the significant retrieval results.

Uncovering the Role of Indian Medicinal Botanicals in COVID-19 Prevention and Management: A Review.

Indian traditional medicine, based on Ayurveda and Siddha, has become one of the global searches for complementary approaches to conventional interventions during the COVID-19 pandemic. This review presents the antiviral, immune-boosting, and anti-inflammatory properties of some medicinal key plants such as Tulsi (), Neem (), Ashwagandha (), Amla (), and Giloy (). Tulsi appears to inhibit viral replication, Neem increases immune cell synthesis, while Ashwagandha regulates inflammation and stress responses.

Synergistic suppression of cell growth: Phenmiazine derivatives targeting p53 and MDM2 unveiled through hybrid computational method.

Lung cancer is the leading cause of mortality in both men and women due to genetic and epigenetic modifications. Our study focuses on fabricating phenmiazine ring leads by a functional group-based drug design to inhibit p53 -7A1W and MDM2-7AU9 proteins responsible for cancer cell growth. One hundred molecules are designed and allowed to bind inside the active site of 7A1W and 7AU9 protein using a glide dock platform and subjected to find MMGBSA.

Artificial Neural Network-Based Validation, DFT, Thermal and Biological Evaluation of 4-Aminoantipyrine-Derived Ru(III) Complexes.

New methodologies have been evaluated for validating analytical characterization with artificial neural networks (ANNs). Compared to previous machine learning models, these provide more accurate and automated results with high testing accuracy. The Schiff base ruthenium complexes used in the proposed study were synthesized using 4-aminoantipyrine derivatives.