Feature extraction and classification is a difficult area in motor imagery electroencephalogram (EEG) signal processing.In order to improve the classification accuracy of EEG signals, both a feature extraction method based on the combination of LMD-CSP and a classification algorithm based on the fusion of PSO-SVM are proposed.Firstly, the extended

Summary: Immunotherapy targeting tumor-associated macrophages (TAMs) is a promising approach to treating cancer.However, the limited drug targets and ambiguous mechanisms impede the development of clinical immunotherapy strategies.To elucidate the underlying processes involved in mononuclear phagocyte (MNP) infiltration and phenotypic changes in he

Aldrin E Sweeney Center for Teaching & Learning, Ross University School of Medicine, Roseau, Commonwealth of Dominica Abstract: Various applications of nanoscale science to the field of medicine have resulted in the ongoing development of the subfield of nanomedicine.Within the past several years, there has been a brynje tactical beanie co

Tissue dehydration results in three major types of exsiccosis--hyper-, hypo-, or isonatraemia.All three types entail alterations of salt concentrations leading to impaired biochemical processes, and can finally cause severe morbidity.The aim of our study was to demonstrate the feasibility of a microwave-based sensor technology for the non-invasive

Person re-identification is an important task in the field of video surveillance that concentrates gorra we are not friends on identifying the same person across different cameras.Some methods cannot learn effective image representations, due to the low resolution of pedestrian image data sets.In this article, we propose a novel Siamese network arc