A day-long workshop on Liquid Chromatography-Mass Spectrometry (LCMS) was organised at the Siksha ‘O’ Anusandhan Deemed to be ...

Metal testing is an integral part of engineering education, particularly in fields such as materials science, mechanical engineering, and structural engineering. Universities integrate metal testing ...

Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access ...

Are you looking to upgrade your laboratory toolkit to keep pace with technological advancements? Are you wondering how these innovations can enhance your research accuracy, efficacy, and safety?

Live your life healthier and happier with our free weekly Living Well newsletter You can easily spend thousands on the best home gym equipment, so while upgrading to the fanciest rowing machine or ...

Bodyweight training creates tension in your muscles by using gravity for resistance rather than weights. This stimulates your muscle fibers, creating microscopic damage that causes repair and growth ...

With over 94% of transportation vehicles relying on petroleum-based fuels, original equipment manufacturers (OEMs) are considering the applications of alternative fuel sources, including hydrogen and ...

demonstrating the potential of this technique to enhance the functionality and scalability of IL applications in environmental monitoring and analytical chemistry. Traditional GC stationary phases, ...

Legacy event streaming has been constrained by rigid architectures, operational complexity, and data silos that separate transactional and analytical workloads. Traditional Kafka implementations, ...

Multiscale Reaction Engineering, KAUST Catalysis Center (KCC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia Multiscale Reaction Engineering, KAUST ...

Enhanced transparency and exchange of information to put an end to bank secrecy and fight tax evasion and avoidance ...

Then, analytical models can seek seasonality, trends, or behavioral patterns based on timing. This type of predictive model is useful to predict when peak customer service periods are needed or ...