Alzheimer's disease indicates one of the highest difficult to heal diseases, and it is acutely affecting elderly normal lives their households. Early, effective, accurate detection represents an important blueprint for minimizing progression risk. The modalities brain imaging can assist in identifying abnormalities associated with disease. This research presents a developed deep learning scheme...

Abstract Background During Spring 2021, we piloted a course model that integrated the immune system and HEENT (head, eyes, ears, nose, throat) by concurrently presenting them in context of clinical cases. Immune topics (e.g., infection, cancer) were tied to their manifestations system, concepts from both systems consolidated weekly case-based learning small group discussion (CBL/SGD) sessions. ...

In the modern era, trading methods and strategies used in financial market have gradually changed from traditional on-site to electronic remote trading, even online automatic performed by pre-programmed computer programs. This is due conduct of automatically self-adjustment markets becoming a competitive development trend entire market, with continuous network computing technology. Quantitative...