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EphA5 is a member of the Eph/ephrin family and plays a critical role in the regulation of carcinogenesis. A significant reduction of EphA5 transcripts in high-grade prostate cancer tissue was shown using a transcriptomic analysis, compared to the low-grade prostate cancer tissue. As less is known about the mechanism of EphA5 downregulation and the function(More)
Novel on-chip waveguide turnings and crossings based on metal-free elliptical reflectors are simulated and demonstrated. 1μm-wide waveguide case gives half the loss in elliptical reflector turn (16% loss) compared to plane mirror turn (30% loss).
The cytoskeletal organizer ezrin is a member of the ezrin-radixin-moesin (ERM) family and plays important roles in not only cell motility, cell adhesion, and apoptosis, but also in various cell signaling pathways. Phosphorylation at Thr-567 and Tyr-353 are key regulatory events in the transition of the dormant to active form of ezrin. This study(More)
BACKGROUND Principal component analysis (PCA) has been widely employed for automatic neuronal spike sorting. Calculating principal components (PCs) is computationally expensive, and requires complex numerical operations and large memory resources. Substantial hardware resources are therefore needed for hardware implementations of PCA. General Hebbian(More)
The emergence of multi-electrode array enables the study of real-time neurophysiological activities across multiple regions of the brain. However, the real-time extracellular action potentials recorded on any electrode represent the simultaneous electrical activity of an unknown number of neurons which present a critical challenge to the accuracy of(More)
The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract—Real-time multi-channel neuronal signal recording has spawned broad applications in neuro-prostheses and neuro-rehabilitation. Detecting and discriminating neuronal spikes from multiple spike trains in real-time require significant(More)
Information security is very important for the smart cards. Electromagnetic analysis (EMA) attack is a common method of side channel attacks which is a serious threat for the security of smart cards. So it is necessary to build a system to estimate the ability of the smart card to resist EMA attack. In this paper, an automatic EMA system for smart cards is(More)
An electromagnetic (EM) analysis and attacks system has been designed for cryptographic Radio Frequency Identification Devices (RFID). The system has the function of carrier removing in analog front-end with adaptive carrier obtain and EM shielding, finding the best acquisition position base on multiple feedback judgment, preprocessing and analysis with(More)
In this paper, an automatic general-purpose Differential Power Analysis (DPA) System for cryptographic devices is designed and implemented. This system aims at testing the security of cryptographic devices, e.g., Smart Card, FPGA and ASIC circuit against DPA attacks. To verify the effectiveness of the system, a DPA attack was successfully carried out by it(More)
The training procedure of Hidden Markov Model (HMM) based Speech Recognition is often very time consuming because of its high computational complexity. The new parallel hardware like GPU can provide multi-thread processing and very high floating-point capability. We take advantage of GPU to accelerate a popular HMM-based Speech Recognition package - HTK.(More)