Three Cluster O mycobacteriophages isolated in Philadelphia, PA.

We report here the discovery and characterization of three novel bacteriophages infecting . These siphoviruses were isolated from soil collected in urban areas around Saint Joseph's University in Philadelphia. Mycobacteriphages Idergollasper, FoulBall, and Schuy are assigned to actinobacteriophage cluster O based on gene content similarity, and have prolate capsids typical for this cluster.

Role of meteorology and air pollution on fog conditions over Delhi during the peak winter 2024.

Severe air pollution and foggy conditions during winter are persistent challenges, pose significant health hazards, and disrupt daily routines worldwide. In this study, we have investigated the conditions favoring the prolonged fog events in Delhi during January 2024 using observations, back trajectories, and reanalysis datasets. Analysis of visibility observations reveals that foggy (54, 121, 139, and 372 half-hours of very dense, dense, moderate, and shallow fog, respectively) conditions persisted in Delhi for 46 % of the time during the study period.

Big data analytics and artificial intelligence aspects for privacy and security concerns for demand response modelling in smart grid: A futuristic approach.

Next generation electrical grid considered as Smart Grid has completely embarked a journey in the present electricity era. This creates a dominant need of machine learning approaches for security aspects at the larger scale for the electrical grid. The need of connectivity and complete communication in the system uses a large amount of data where the involvement of machine learning models with proper frameworks are required.

Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability.

In conventional modern vehicles, the Internet of Things-based automotive embedded systems are used to collect various data from real-time sensors and store it in the cloud platform to perform visualization and analytics. The proposed work is to implement computer vision-aided vehicle intercommunication V2V (vehicle-to-vehicle) implemented using the Internet of Things for an autonomous vehicle. Computer vision-based driver assistance supports the vehicle to perform efficiently in critical transitions such as lane change or collision avoidance during the autonomous driving mode.

A review of various analytical methods for the estimation of olanzapine: An antipsychotic drug.

Olanzapine (OLZ) is an antipsychotic agent and is a thienobenzodiazepine derivative. It is used either in combination with other drugs like carbamazepine, simvastatin, and clozapine or as a single drug. The present work is mainly focused on various approaches for OLZ analysis in bulk drugs as well as on their pharmaceutical formulations.