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CCENT Quick Reference Sheets (Exam 640-822)

As a final exam preparation tool, the CCENT Quick Reference Sheets provide a concise review of all objectives on the new CCENT ICND1 exam (640-822). This digital Short Cut provides you with detailed, graphic-based information, highlighting only the key topics in cram-style format. With this document as your guide, you will review topics on router and switch configuration and troubleshooting, wireless LAN (WLAN), security, Routing Information Protocol (RIP) configuration and troubleshooting, and WANs. These fact-filled Quick Reference Sheets allow you to get important information at a glance, helping you to focus your study on areas of weakness and to enhance memory retention of essential exam concepts.

Pattern Recognition in Bioinformatics

In the post-genomic era, a holistic understanding of biological systems and p- cesses,inalltheircomplexity,is criticalincomprehendingnature’schoreography of life. As a result, bioinformatics involving its two main disciplines, namely, the life sciences and the computational sciences, is fast becoming a very promising multidisciplinary research ?eld. With the ever-increasing application of lar- scalehigh-throughputtechnologies,suchasgeneorproteinmicroarraysandmass spectrometry methods, the enormous body of information is growing rapidly. Bioinformaticians are posed with a large number of di?cult problems to solve, arising not only due to the complexities in acquiring the molecular infor- tion but also due to the size and nature of the generated data sets and/or the limitations of the algorithms required for analyzing these data. Although the ?eld of bioinformatics is still in its embryonic stage, the recent advancements in computational and information-theoretic techniques are enabling us to c- ductvariousinsilicotestingandscreeningofmanylab-basedexperimentsbefore these are actually performed in vitro or in vivo. These in silico investigations are providing new insights for interpretation and establishing a new direction for a deeper understanding. Among the various advanced computational methods currently being applied to such studies, the pattern recognition techniques are mostly found to be at the core of the whole discovery process for apprehending the underlying biological knowledge. Thus, we can safely surmise that the - going bioinformatics revolution may, in future, inevitably play a major role in many aspects of medical practice and/or the discipline of life sciences.

Effects of Window Size and Shape on Accuracy of Subpixel Centroid Estimation of Target Images