Qiang Su

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Neurodegenerative diseases remain a significant unresolved societal burden afflicting millions of people worldwide. Neurons in the brain are highly sensitive to oxidative stress, which can be induced by metal toxicity. In this paper, a chronic aluminum overload-induced model of neurodegeneration was used to investigate whether metal ions (Al, Fe, Mn, Cu and(More)
Keywords: Click-stream data User interest Behavior analysis Leader clustering algorithm Rough set theory a b s t r a c t Having a good understanding of users' interests has become increasingly important for online retailers hoping to create a personalized service for a target market. Generally speaking, user's browsing behaviors (when looking at websites)(More)
While chemotherapy is an effective method for treating cancers such as colorectal cancer, its effectiveness may be dampened by the drug resistance and it may have significant side effects due to the destruction of normal cells during the treatment. As a result, there is a need for research on choosing an optimal chemotherapy treatment plan that minimizes(More)
A large series of pyrrolidine amides derivatives as DPP-IV inhibitors was subjected to quantitative structure–activity relationship (QSAR) analysis. These 248 geometrical structures were constructed and optimized at the HF/6-31G* level of theory by the Gaussian program. The 2D–QSAR model was developed from a training set consisting of 186 compounds by the(More)
BACKGROUND Coronary microembolization (CME) is a serious complication following percutaneous coronary intervention (PCI) in patients with acute coronary syndromes. The use of metoprolol before PCI can significantly protect ischemic myocardium from myocardial damage, but the function of metoprolol in the treatment of CME is not entirely clear. This study was(More)
Nowadays, a wide range of serum tumor markers can be applied in the diagnosis of colorectal cancer. There exists a wide variability in the type and number of routinely used markers so that, sometimes, patients may receive redundant or insufficient checks. Furthermore, the traditional single cutoff point also hinders the efficient utilization of the(More)
Fuzzy Petri nets (FPNs) are an important modeling tool for knowledge representation and reasoning, which have been extensively used in a lot of fields. However, the conventional FPN models have been criticized as having many shortcomings in the literature. Many different models have been suggested to enhance the performance of FPNs, but deficiencies still(More)