Shiying Luo

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A major challenge of combinatorial therapy is the unification of the pharmacokinetics and cellular uptake of various drug molecules with precise control of the dosage thereby maximizing the combined effects. To realize ratiometric delivery and synchronized release of different drugs from a single carrier, a novel approach was designed in this study to load(More)
Data classification is an important application in the domain of cognitive computation, which has various applications. In this paper, we use classification techniques to solve some key issues in answering range query over probabilistic data. The key of answering this query is to store the feature of each uncertain object in a lightweight structure and use(More)
10-Hydroxycamptothecin (HCPT) is a clinical therapy agent against hepatoma. The chemotherapy of HCPT is strongly obstructed by the emergence of multidrug resistance (MDR), serious systemic toxicity, malfunction of rapid phagocytic and renal clearance disorder which are undesirable for its chemotherapy. In this paper, a drug delivery system (DDS) for HCPT(More)
Continuous top-k query over sliding window is a fundamental problem in database, which retrieves k objects with the highest scores when the window slides. Existing studies mainly adopt exact algorithms to tackle this type of queries, whose key idea is to maintain a subset of objects in the window, and try to retrieve answers from it. However, all the(More)
Decreased bone formation is responsible for the pathogenesis of glucocorticoid- (GC-) induced osteoporosis (GIO), while the mechanism remains to be elucidated. The aim was to investigate how natural antioxidant tanshinol attenuates oxidative stress and rescues impaired bone formation elicited by GC in Sprague-Dawley rats and in C2C12 cells and/or MC3T3-E1(More)
This paper studies the problem of probabilistic range query over uncertain data. Although existing solutions could support such query, it still has space for improvement. In this paper, we firstly propose a novel index called S-MRST for indexing uncertain data. For one thing, via using an irregular shape for bounding uncertain data, it has a stronger space(More)
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