With the aim of understanding the phase structure of nuclear matter created Flasks in high-energy nuclear collisions at finite baryon density, a beam energy scan program has been carried out at Relativistic Heavy Ion Collider (RHIC).In this mini-review, most recent experimental results on collectivity, criticality Filters and heavy flavor productio
Effects of Novel Structure Bonding Materials on Properties of Aeronautical Acrylic
Novel structure bonding materials, J-351 epoxy adhesive film with low curing temperature and liquid modified acrylate SY-50s adhesive were chosen and characterized.The effects of adhesives on the mechanical properties of acrylic were studied.The results reveal that both adhesives have excellent bonding properties to acrylic.The stress-solvent crazi
An Ensemble Machine Learning and Data Mining Approach to Enhance Stroke Prediction
Stroke poses a significant health threat, affecting millions annually.Early and precise prediction is crucial to providing effective preventive healthcare interventions.This study applied an ensemble machine learning and data mining approach to enhance the effectiveness of stroke prediction.By employing the cross-industry standard process for data
Demonstration of transfer learning using 14 nm technology analog ReRAM array
Analog memory presents a promising solution in the face of the growing demand for energy-efficient artificial intelligence (AI) at the edge.In this study, we demonstrate efficient deep neural network transfer learning utilizing hardware and algorithm co-optimization in an analog Personal Care resistive random-access memory (ReRAM) array.For the fir