Jingjing Tang

Learn More
TNF-α-converting enzyme (TACE, herein denoted as Adam17) proteolytically sheds several cell-surface inflammatory proteins, but the physiologic importance of the cleavage of these substrates from leukocyte subsets during inflammation is incompletely understood. In this study, we show that Adam17-null neutrophils have a 2-fold advantage in their initial(More)
BACKGROUND Glucocorticoid (GC) administration is the most common cause of secondary osteoporosis. Previous studies investigated GCs dose and frequency correlated positively with the side effects of glucocorticoid on bone health, however the impaired effect of various types of GCs on bone has not yet been reported. PURPOSE The aim is to compare the effect(More)
BACKGROUND Better understanding of acute stress responses is important for revision of DSM-5. However, the latent structure and relationship between different aspects of acute stress responses haven't been clarified comprehensively. Bifactor item response model may help resolve this problem. OBJECTIVE The purpose of this study is to develop a statistical(More)
Recently, document similarity detection technology captures a host of researchers' attention. In this paper, we propose to integrate linear SVM with f-fractional bit minwise hashing to make a wide range of choices for accuracy and storage space requirements. According to the derived properties of f-fractional bit minwise hashing, we obtained the optimal(More)
When flexible forming of sheet metal using plasma arc scanning along a straight line, we find that the forming edge appears warping deformation and the bending angle varies along the scanning path, the phenomenas are defined as edge effects, which will reduce the accuracy of forming of sheet metal seriously. The edge effects and its formation laws that(More)
Multi-view learning concentrates on multiple distinct feature sets mainly following either the consensus principle or the complementary principle. SVM-2K, as a typical SVM-based multi-view learning model, extends SVM for multi-view learning by combining Kernel Canonical Correlation Analysis (KCCA). However, SVM-2K cannot fully unleash the power of the(More)
KEY CLINICAL MESSAGE We report a comatose patient with severe neurological deficits who was without spontaneous language or movement. He had a good response to recombinant tissue plasminogen activator (rtPA) thrombolysis even though there were no detectable lesions on diffusion-weighted imaging (DWI). DWI is very sensitive for diagnosing hyperacute ischemic(More)
  • 1