Eunjung Park

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Using machine learning has proven effective at choosing the right set of optimizations for a particular program. For machine learning techniques to be most effective, compiler writers have to develop expressive means of characterizing the program being optimized. The current state-of-the-art techniques for characterizing programs include using a(More)
Significant advances in compiler optimization have been made in recent years, enabling many transformations such as tiling, fusion, parallelization and vectorization on imperfectly nested loops. Nevertheless, the problem of finding the best combination of loop transformations remains a major challenge. Polyhedral models for compiler optimization have(More)
BACKGROUND Although adiponectin is generally known as a predictor of metabolic syndrome, potential of adiponectin as a predictor for metabolic syndrome in type 2 diabetes is debated. The purpose of this study is to determine the association between adiponectin and metabolic syndrome in patients with type 2 diabetes. METHODS Adiponectin and the risk of(More)
Betulinic acid (BA), a pentacyclic triterpene isolated from Lycopus lucidus, has been reported to be a selective inducer of apoptosis in various human cancer and shown anti-inflammatory and immunomodulatory properties. We postulated that BA modulates the immunomodulatory properties at least two groups of protein mediators of inflammation, interleukin-1beta(More)
Iterative compilation techniques, which involve iterating over different sets of optimizations, have proven useful in helping compilers choose the right set of optimizations for a given program. However, compilers typically have a large number of optimizations to choose from, making it impossible to iterate over a significant fraction of the entire(More)
Quantum dots (QDs) have size-tunable optical properties, such as photostability, strong photoluminescence and a large Stokes-shift, which make it possible to adapt them to various biological applications. In many cases, surface modification of QDs by carboxylate ligands has been extensively studied. However, there have been few applications on QDs modified(More)
The aim of this multicenter, matched- pair study was to compare the outcome of stereotactic radiosurgery (SRS) with that of external radiation therapy (RT) when used as a primary treatment in spine metastasis from renal cell carcinoma (RCC). From 2005 to 2012, 13 patients underwent SRS as a primary treatment in spine metastasis from RCC. Thirteen patients(More)
Novel QD-DNA complexes are prepared by simple electrostatic interaction between pegylated amine-functionalized CdSe/ZnS quantum dots (QDs) and DNA. The cationic nature of the amine functionality on the QD surface allows for formation of an electrostatic complex with negatively charged DNA. The presence of polyethylene glycol (PEG5000) molecules on the QD(More)
We describe a novel 7-aminopyrazolo[1,5-a]pyrimidine (7-APP) derivative as a potent hepatitis C virus (HCV) inhibitor. A series of 7-APPs was synthesized and evaluated for inhibitory activity against HCV in different cell culture systems. The synthesis and preliminary structure-activity relationship study of 7-APP are reported.