FUNCTIONAL CONNECTIVITY DENSITY WITH FREQUENCY-DEPENDENT CHANGES IN PATIENTS WITH DIFFUSE AXONAL INJURY: A RESTING-STATE FUNCTIONAL MAGNETIC RESONANCE IMAGING STUDY

Guojin Xia,1,2 Zhenzhen Hu,3 Fuqing Zhou,1,2 Wenfeng Duan,1,2 Min Wang,1,2 Honghan Gong,1,2 Yulin He,1,2 Yanxing Guan4 1Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People’s Republic of China; 2Jiangxi Province Medical Imaging Research Institute, Jiangxi, People’s Apparel Republic of China; 3De

Hengwen Chen,* Yan Dong,* Xuanhui He, Jun Li, Jie Wang Apparel Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China *These authors contributed equally to this work Background: Paeoniflorin (PF) is the active component of Paeonia lactiflora Pall.or Paeonia veitchii Lynch.This study was, therefore, aimed to evaluate t

Herein, we propose a new deep neural network model based on invariant information clustering (IIC), proposed by Ji et al., to improve the modeling performance of the leave-one-site-out cross-validation (LOSO-CV) for a multi-source dataset.Our Extended IIC (EIIC) is a type of contrastive Acrylic Bong learning; however, unlike the original IIC, it is

Additive manufacturing (AM) is ideal for building adaptable, structurally complex, three-dimensional, monolithic lab-on-chip (LOC) devices from only a Accessories computer design file.Consequently, it has potential to advance micro- to milllifluidic LOC design, prototyping, and production and further its application in areas of biomedical and biolo