Plant assisted synthesis of silver nanoparticles using for antioxidant, antibacterial, and anticancer properties.

(L.) is an herbaceous medicinal plant belonging to the Polygonaceae family. The plant is distributed in Nepal, India, Japan, China, Russia, and Korea.

Synthesis of silver nanoparticles assisted by aqueous root and leaf extracts of Mill and its antibacterial activity.

In the present study, silver nanoparticles were synthesized using aqueous root and leaf extracts of Mill. This study aimed to undertake the green synthesis of silver nanoparticles utilizing plant extracts in an eco-friendly, cost-effective, and more efficient manner with its antibacterial application. The prepared silver nanoparticles (AgNPs) were characterized by using different techniques.

Technical note: Progressive deep learning: An accelerated training strategy for medical image segmentation.

Background: Recent advancements in Deep Learning (DL) methodologies have led to state-of-the-art performance in a wide range of applications especially in object recognition, classification, and segmentation of medical images. However, training modern DL models requires a large amount of computation and long training times due to the complex nature of network structures and the large number of training datasets involved. Moreover, it is an intensive, repetitive manual process to select the optimized configuration of hyperparameters for a given DL network.

Investigation of beam delivery time for synchrotron-based proton pencil beam scanning system with novel scanning mode.

To investigate synchrotron-based proton pencil beam scanning (PBS) beam delivery time (BDT) using novel continuous scanning mode.A BDT calculation model was developed for the Hitachi particle therapy system. The model was validated against the measured BDT of 36 representative clinical proton PBS plans with discrete spot scanning (DSS) in the current Hitachi proton therapy system.