Asphaltene instability may occur when pressure, temperature and compositional variations affect the reservoir oil.Permeability reduction, wettability alteration, and plugging of wells and flow lines are the consequences of this phenomenon.Therefore, it is crucial to investigate the asphaltene behavior in different thermodynamic conditions by knowin

Deep neural networks are capable of learning powerful representation, but often limited by heavy network architectures and high computational cost.Knowledge distillation (KD) is one of the effective ways to perform model compression and inference acceleration.But the final student models remain parameter redundancy.To tackle these issues, we propos

Interprofessional education is a collaborative Salsa approach to develop healthcare students as future interprofessional team members and a recommendation suggested by the Institute of Medicine.Complex medical issues can be best addressed by interprofessional teams.Training future healthcare providers to work in such teams will help facilitate this

As the number of mobile device owners on university campuses grew over the past two decades, scholars specializing in digital education and its application versatility have taken a heightened interest in mobile learning programs and platforms.The nature of mobile learning is constantly evolving with the development of technology artifacts, and it b

The problem of initial orbit determination (IOD) for Low Earth Orbit (LEO) objects using bistatic radar too-short arc (TSA) observations is addressed.For TSA observations, the traditional IOD methods suffer low accuracy.For LEO objects with stable attitude, the high order kinematic parameters can be obtained from the time derivatives of the radar e