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OBJECTIVE The Chinese population has been aging rapidly and the country's economy has experienced exponential growth during the past three decades. The goal of this study was to estimate the changes in the prevalence of dementia, Alzheimer's disease (AD), and vascular dementia (VaD) among elderly Chinese individuals and to analyze differences between urban(More)
BACKGROUND Epidemiologic studies on mild cognitive impairment (MCI) are limited in China. METHODS Using a multistage cluster sampling design, a total of 10,276 community residents (6096 urban, 4180 rural) aged 65 years or older were evaluated and diagnosed with normal cognition, MCI, or dementia. MCI was further categorized by imaging into MCI caused by(More)
In order to investigate the biomarkers associated with relapsing-remitting multiple sclerosis (RRMS), we analyzed 72 patients with RRMS and 65 healthy controls using proteome technology. Peptides in sera were purified using magnetic beads, and analyzed by matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry and(More)
Multiple sclerosis (MS) is an autoimmune disease characterized by neuroinflammation and demyelination that are mediated by T cells. The prolonged survival of autoreactive T cells acts as a primary event to trigger an inflammatory cascade that mediates myelin loss and clinical relapse in MS. Recently, T cell survival has been shown to be modulated by the(More)
In order to systematically investigate the influence of carrier ligands on the interaction of Pt-DNA adducts with damage recognition proteins, a series of DNA probes containing 1,2-GG platinum compound crosslinks using cisplatin, oxaliplatin, (S,S-DACH)PtCl2 and (cis-1,4-DACH)PtCl2 (kiteplatin) has been constructed. These complexes share similar DNA binding(More)
Scaling up algorithms or applications in data mining studies for massive datasets to improve the computing performance is becoming crucial since we've stepped into Big Data era. For community detection, which is one of the most important topics in data mining, numerous algorithms were proposed for a better exploration of the complex networks in real world(More)
Accelerated by global climate changing, retreating glaciers leave behind soil chronosequences of primary succession. Current knowledge of primary succession is mainly from studies of vegetation dynamics, whereas information about belowground microbes remains unclear. Here, we combined shifts in community assembly processes with microbial primary succession(More)
By evolving the N-terminal domain of Methanosarcina mazei pyrrolysyl-tRNA synthetase (PylRS) that directly interacts with tRNAPyl, a mutant clone that displays improved amber suppression efficiency for the genetic incorporation of N-(tert-butoxycarbonyl)-l-lysine three-fold more than the wild type was identified. The identified mutations are(More)
Scaling up Artificial Intelligence (AI) algorithms for massive datasets to improve their performance is becoming crucial. In Machine Translation (MT), one of most important research fields of AI, models based on Recurrent Neural Net- works (RNN) show state-of-the-art performance in recent years, and many researchers keep working on improving RNN-based(More)
Objective Intravenous thrombolysis with recombinant tissue plasminogen activator (rt-PA) is considered the most effective treatment method for AIS; however, it is associated with a risk of hemorrhage. We analyzed the risk factors for digestive and urologic hemorrhage during rt-PA therapy. Methods We retrospectively analyzed patients with AIS who underwent(More)
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