Visual and buying sequence features-based product image recommendation using optimization based deep residual network.

A recommendation system is an imaginative resolution for managing the restrictions in e-commerce services with item details and user details. Also, it is used to determine the user preferences to recommend the items they expected to buy. Several conventional collaborative filtering techniques are devised in the recommender model, but it has some complexities.

Improved Artificial Neural Network with State Order Dataset Estimation for Brain Cancer Cell Diagnosis.

Brain cancer is one of the cell synthesis diseases. Brain cancer cells are analyzed for patient diagnosis. Due to this composite cell, the conceptual classifications differ from each and every brain cancer investigation.

Biosynthesis of magnesium oxide (MgO) nanoflakes by using leaf extract of Bauhinia purpurea and evaluation of its antibacterial property against Staphylococcus aureus.

Nanobiotechnology has become a newly evolving field of interest in biomedical applications due to its biocompatibility and non-toxic nature towards the environment. Metal and metal oxide nanoparticles have been widely used as an antibacterial agent due to the emergence of antibiotic resistant pathogens, which leads to the outbreak of infectious diseases. In the present paper, biogenic synthesis of magnesium oxide (MgO) nanoflakes is reported by using Bauhinia purpurea leaf extract through alkaline precipitation method along with its detailed characterization.

Strategies for imaging mitophagy in high-resolution and high-throughput.

The selective autophagic removal of mitochondria called mitophagy is an essential physiological signaling for clearing damaged mitochondria and thus maintains the functional integrity of mitochondria and cells. Defective mitophagy is implicated in several diseases, placing mitophagy as a target for drug development. The identification of key regulators of mitophagy as well as chemical modulators of mitophagy requires sensitive and reliable quantitative approaches.