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Sequence impedance models have been accepted as an effective method for resonance and stability analysis of renewable energy, high-voltage dc transmission and other three-phase power electronics systems. While such impedance models can be obtained in numerical form by simulation or measurement, the analytical models such as those presented in [2, 3] provide invaluable insight into how impedance behavior...
Increased collagen deposition by breast cancer (BC)-associated mesenchymal stem/multipotent stromal cells (MSC) promotes metastasis, but the mechanisms are unknown. Here, we report that the collagen receptor discoidin domain receptor 2 (DDR2) is essential for stromal-BC communication. In human BC metastasis, DDR2 is concordantly upregulated in metastatic cancer and multipotent mesenchymal stromal...
In this paper, we use recently developed error estimation coding (EEC) to devise an efficient relaying framework for a multi-relay network. EEC utilizes an added redundancy to form an estimate of the bit-error rate (BER) of data received over a noisy channel. Utilizing the BER estimate, we propose a relaying selection strategy that uses the BER estimate at any given relay to switch between Amplify-Forward...
Brain metastases occur in more than one-third of metastatic breast cancer patients whose tumors overexpress HER2 or are triple negative. Brain colonization of cancer cells occurs in a unique environment, containing microglia, oligodendrocytes, astrocytes, and neurons. Although a neuroinflammatory response has been documented in brain metastasis, its contribution to cancer progression and therapy remains...
Data Mining is concerned with extraction of interesting patterns or knowledge from huge amounts of Data. Generally data mining tasks are either predictive or descriptive. Classification falls under predictive induction while clustering and association rule mining fall under descriptive induction. Subgroup discovery is a task at the intersection of supervised learning and descriptive induction. In...
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