Shipra Gandhi,1 Hongbin Chen,2 Yujie Zhao,2 Grace K Dy2 1Department of Internal Medicine, State University of New York, 2Department of Medicine, Roswell Park Cancer Institute, Buffalo, NY, USA Abstract: Non-small-cell lung cancer (NSCLC) is one of the leading causes of cancer deaths, both within the US and worldwide.There have been major treatment
An arrhythmia classification algorithm using a dedicated wavelet adapted to different subjects
Abstract Background Numerous studies have been conducted regarding a heartbeat classification algorithm over the past several decades.However, many algorithms Christmas Tree Skirt have also been studied to acquire robust performance, as biosignals have a large amount of variation among individuals.Various methods have been proposed to reduce the di
Changes in the mRNA expression of glycolysis-related enzymes of Candida albicans during inhibition of intramitochondrial catabolism under anaerobic condition
Candida albicans can cause two major types of infections: superficial infection and Apple Corer systemic candidiasis.C.albicans infects diverse host niches, owing to a wide range of virulence factors and attributes, such as morphological transitions and phenotypic switching.C.albicans uses glycolysis, followed by alcoholic fermentation or mitochond
Spectral-Spatial Offset Graph Convolutional Networks for Hyperspectral Image Classification
In hyperspectral image (HSI) classification, convolutional neural networks (CNN) have been attracting increasing attention because of their ability to represent spectral-spatial features.Nevertheless, the conventional CNN models perform convolution operation on regular-grid image regions with a fixed kernel size and as a result, they neglect the in
Non-invasive and continuous intra-abdominal pressure assessment using MC sensors
Abstract Monitoring intra-abdominal pressure (IAP) in critical care patients is crucial for preventing intra-abdominal hypertension (IAH) and abdominal compartment syndrome (ACS), with their severe consequences.The muscle contraction sensor (MC) introduced in this study offers a novel, non-invasive method with promising accuracy based on previous f