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Embedded Systems Design With the Texas Instruments MSP432 32-Bit Processor

為了解決MSP application的問題，作者Dang, Dung/ Pack, Daniel J./ Barrett, Steven F. 這樣論述：

This book provides a thorough introduction to the Texas Instruments MPS432(TM) microcontroller. The MPS432 is a 32-bit processor with the ARM Cortex M4F architecture and a built-in floating point unit. At the core, the MSP432 features a 32-bit ARM Cortex-M4F CPU, a RISC-architecture processing unit

that includes a built-in DSP engine and a floating point unit. As an extension of the ultra-low-power MSP microcontroller family, the MSP432 features ultra-low power consumption and integrated digital and analog hardware peripherals. The MSP432 is a new member to the MSP family. It provides for a se

amless transition to applications requiring 32-bit processing at an operating frequency of up to 48 MHz. The processor may be programmed at a variety of levels with different programming languages including the user-friendly Energia rapid prototyping platform, in assembly language, and in C. A numbe

r of C programming options are also available to developers, starting with register-level access code where developers can directly configure the device's registers, to Driver Library, which provides a standardized set of application program interfaces (APIs) that enable software developers to quick

ly manipulate various peripherals available on the device. Even higher abstraction layers are also available, such as the extremely user-friendly Energia platform, that enables even beginners to quickly prototype an application on MSP432. The MSP432 LaunchPad is supported by a host of technical data

, application notes, training modules, and software examples. All are encapsulated inside one handy package called MSPWare, available as both a stand-alone download package as well as on the TI Cloud development site: dev.ti.com The features of the MSP432 may be extended with a full line of BoosterP

ack plug-in modules. The MSP432 is also supported by a variety of third party modular sensors and software compiler companies. In the back, a thorough introduction to the MPS432 line of microcontrollers, programming techniques, and interface concepts are provided along with considerable tutorial inf

ormation with many illustrated examples. Each chapter provides laboratory exercises to apply what has been presented in the chapter. The book is intended for an upper level undergraduate course in microcontrollers or mechatronics but may also be used as a reference for capstone design projects. Prac

ticing engineers already familiar with another microcontroller, who require a quick tutorial on the microcontroller, will also find this book very useful. Finally, middle school and high school students will find the MSP432 highly approachable via the Energia rapid prototyping system.

Identifying Microbes by Mass Spectrometry Proteomics

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為了解決MSP application的問題，作者Wick, Charles H. (EDT) 這樣論述：

All microbes, including bacteria, viruses, and fungi, can be classified and identified by matching a few peptides known to be unique to each organism. Identifying Microbes by Mass Spectrometry Proteomics describes ways to identify microorganisms using powerful new techniques combining hardware and s

oftware and yielding highly accurate methods for detection, identification, and classification of microbes. This straightforward technology can be used to detect unknown and unsequenced microorganisms as well as microbes in complex environmental samples. This book reviews various mass analyzers used

for detection and describes ionization methods frequently used for analysis of microbial constituents, a necessary step in the preparation of mass spectrometry (MS) samples. The text also discusses diverse processing methods, which are used to analyze MS files for matching mass spectral profiles, a

nd examines protein and nucleic acid sequence-based methods capable of classification and identification of microbial agents. The book also covers sample collection methods and specific sample preparation techniques. The text addresses using computer software and bioinformatics approaches for data m

ining to discriminate microbes using mass spectrometry proteomics (MSP). It also discusses historical pattern recognition-based methods and other approaches such as analysis of pyrolysis products, chemical ionization (CI) of fatty acid methyl esters, and MALDI-MS. The text contains examples of the a

pplication of the MSP technique for microbe detection and includes a survey of suitable and commercially available MS-based platforms. Successful applications include the identification of unknown microbes in honey bees associated with colony collapse disorder and the analysis of virus strains from

the 2009 influenza pandemic. The final chapter outlines future trends in these groundbreaking uses of MS techniques, which are fast, not limited by sample type, and show potential in answering complex environmental questions. Dr. Charles H. Wick, Ph.D., is a retired senior scientist from the U.S.

Army Edgewood Chemical Biological Center, where he has served both as a manager and research physical scientist and has made significant contributions to forensic science. Although his 40-year professional career has spanned both the public sector and the military, his better-known work in the area

of forensic science has occurred in concert with the Department of Defense. Throughout his career, Dr. Wick has made lasting and important contributions to forensic science and to the field of antiterrorism. He holds several U.S. patents in the area of microbe detection and classification. He has w

ritten more than 45 civilian and military publications and has received myriad awards and citations.

存活時間之特徵篩選的新比較並用於美國癌症基因組圖譜計畫的高維度存活基因資料

為了解決MSP application的問題，作者李采蓉 這樣論述：

背景：在高維度存活基因組數據中，辨識癌症相關基因是生物資訊學領域的一個具有挑戰性的議題。近年來，已經開發了許多具有高維度存活基因組數據的存活結果特徵篩選方法，然而很少有研究結果比較這些特徵篩選方法，本論文的主要目的是進行一系列系統化的比較；本論文的第二個目的是利用這些特徵篩選方法，使用美國癌症基因組圖譜的存活基因資料，進一步建立更準確的存活預測模型。結果：模擬研究證明網絡調整特徵篩選IPCW-tau(NPN-MB)表現良好，優於現有流行的單變量獨立特徵篩選方法。在實際資料的應用中，證明所提出的網絡調整特徵篩選方法比不考慮基因與基因相關性訊息的替代方法更能精確地預測病人的存活時間，以美國癌症基

因組圖譜計畫的存活基因數據集來識別，如：食道癌、胰腺癌、肺腺癌、乳癌和頭頸部鱗狀細胞癌患者存活結果相關的生物標識物。結論：這些應用解釋了新提出的網絡調整特徵篩選方法，皆優於單變量獨立特徵篩選方法，另外找到在文獻中檢測到相關癌症(食道癌、胰腺癌、肺腺癌、乳癌和頭頸部鱗狀細胞癌)的基因，因此，網絡的篩選方法是可靠並可信的。