Aiyu Zhu

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We use Finite Volume Method based on Shallow-water equation to simulate the Tohoku 2011 tsunami and parallelize the code using OpenMP. With the parallelization, we achieved over 80% of the potential speed-up on multi-core system. Using adaptive mesh refinement (AMR) to obtain high resolution result in important region, and the highest resolution near Sendai(More)
BACKGROUND The ER signaling pathway plays a critical role in breast cancer. ER signaling pathway-related proteins, such as TRX, AR, and cyclin D1, may have an important function in breast cancer. However, the ways that they influence breast cancer development and progression are still unclear. PATIENTS AND METHODS A total of 101 Chinese female patients(More)
BACKGROUND The protein p27 (p27(Kip1)) is a member of the cyclin-dependent kinase inhibitor family, which negatively regulates cell cycle progression, and the phosphorylation of p27 has been proven to affect its stability and nuclear export. Clinical studies on the relation between p27 and phosphorylated p27 (p-p27Ser10) in breast invasive ductal carcinomas(More)
BRCA1 plays a key role in the regulation of p53-dependent target gene transcription activation. Meanwhile, the p53 inducible gene 3 (PIG3) is a downstream target of p53 and is involved in p53-initiated apoptosis. However, little is known about whether BRCA1 can regulate PIG3-mediated apoptosis. Using a tissue microarray containing 149 breast cancer patient(More)
Previous studies have indicated that Her-2 induction causes a strong decrease in thioredoxin interaction protein (TXNIP) in breast cancer cells. However, little is known regarding the prognostic value of TXNIP in clinical breast cancer patients with anti-Her-2 treatment. Using a tissue microarray, we detected TXNIP and p27 expression in breast cancer(More)
— We have parallelized GeoClaw using OpenMP to meet the urgent need of simulating tsunami waves at near-shore from Tohoku 2011 at a grid distance around 100 meters because of no available parallel version yet by then. It took us some efforts to obtain the correct results and speed-up in the computation. With this OpenMP parallelization, we achieved over 75%(More)
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