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Current high-end graphics processing units (GPUs), which contain up to thousand cores per-chip, are widely used in the high performance computing community. However, in the past, the cost and power consumption of constructing a high performance platform with graphics cards, such as Tesla and Fermi series, are high. Moreover, these graphics cards all installed in personal computers or servers, and...
Compound comparison is an important task for computational chemistry. By the comparison reulsts, potential inhibitors can be found and then used for the following experiments. The time complexity of a pairwise compound comparison is O(n2), where n is the maximal length of compounds. In general, the compound length is small, and the cost of computation time is short. However, more and more compounds...
Wafer-Level Packaging (WLP) has emerged in modern years and played a prominent role in both semiconductor and Integrated Circuit (IC) field, as well as in Micro-ElectroMechanical Systems (MEMS) applications and fields for their distinguishing operating mechanism and adaptive design variety. In this study, numerous kinds of mature packaging technologies combined with innovation as well as integration...
Wafer Level Packaging (WLP) has started to shine and played a prominent role in recent years in both semiconductor and Integrated Circuit (IC) field, especially in now thriving Micro-Electro-Mechanical System (MEMS) applications on account of its distinctive operating mechanism and adaptive design variety. In this study, several crucial WLP technologies are disclosed in detail, including Wafer to...
Neuraminidase (NA) is an important target for influenza A virus treatment, such as Zanamivir and oseltamivir both are sialic acid analog inhibitors of NA. Quantitative Structure-Activity Relationships is a widely adapted computational method that correlates the structural properties of compounds with their biological activities. The pharmcophore model can be easily and quickly used to recognize the...
Drug design is the approach of finding drugs by design using computational tools. When designing a new drug, the structure of the drug molecule can be modeled by classification of potential chemical compounds. Kernel Methods have been successfully used in classifying potential chemical compounds. Frequency of labeled paths has been proposed to map compounds into feature in order to classify the characteristics...
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