Millions and millions of BIG FAT NOTEBOOKS sold! Pre-Algebra & Algebra 1? No Problem! The BIG FAT NOTEBOOK covers everything you need to know during a year of Pre-Algebra and Algebra 1 class, breaking down one big fat subject into accessible units. Including: The number system, ratios, and proportions, scientific notation, introduction and equations, functions, graphing a line, square roots and cube roots, polynomial operations, quadratic functions, and more. Study better with: -Mnemonic devices -Definitions -Diagrams -Educational doodles -and quizzes to recap it all and get better grades!
The long-awaited cookbook from an iconic New York restaurant, revealing never-before-published recipes Since its humble opening in 2005, Xi’an Famous Foods has expanded from one stall in Flushing to 14 locations in Manhattan, Brooklyn, and Queens. CEO Jason Wang divulges the untold story of how this empire came to be, alongside the never-before-published recipes that helped create this New York City icon. From heavenly ribbons of liang pi doused in a bright vinegar sauce to flatbread ï¬?lled with caramelized pork to cumin lamb over hand-pulled Biang Biang noodles, this cookbook helps home cooks make the dishes that fans of Xi’an Famous Foods line up for while also exploring the vibrant cuisine and culture of Xi’an. Transporting readers to the streets of Xi’an and the kitchens of New York’s Chinatown, Xi’an Famous Foods is the cookbook that fans of Xi’an Famous Foods have been waiting for.
A collection of ten minute plays from the first season of "Quick & Painless". Three ten minute plays with a common theme. Four themes. Featuring the themes: - Altered States - With Friends Like These - Time is Money - Death Comes to Us All
Today, businesses have valuable operations data spread across multiple content management systems. To help discover, manage, and deliver this content, IBM® provides IBM Content Federation Services and IBM Content Integrator. This IBM Redbooks® publication introduces the concept of federated content management and describes the installation, configuration, and implementation of these product offerings. IBM Content Federation Services, available through IBM FileNet Content Manager, is a suite of three federated content management services based on the federation implementation strategy. We describe how to install and configure Content Federation Services for Image Services, Content Manager OnDemand, and IBM Content Integrator. Using an integration implementation strategy, IBM Content Integrator provides a repository neutral API that allows bidirectional, real-time access to a multitude of disparate content management system installations. We present connector configuration details to frequently encountered content management systems. We provide detailed instruction and sample implementations using the product's JavaTM and Web Services APIs to access content stored in repository systems. This book is intended for IT architects and specialists interested in understanding federated content management and is a hands-on technical guide for IT specialists to configure and implement federated content management solutions.
A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.
This book presents an empirical study to develop and validate a proficiency scale of business English writing in the Chinese tertiary context. Through a mixture of intuitive, quantitative and qualitative methods, the book demonstrates how a pool of descriptors are collectively formulated, statistically calibrated and meticulously validated for the establishment of a proficiency scale of business English writing. The writing scale differs in significant ways from the existing language scales, most of which were constructed in English as L1 or L2 contexts and applied to English for General Purposes (EGP) domains. This book also provides important insights into the construct of business English writing as well as the methods for English for Specific Purposes (ESP) proficiency scale development and validation. It is of particular interest to those who work in the area of ESP teaching and assessment.
Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This book provides an exploration through the world of Bioinformatics Database Systems. The book summarizes the popular and innovative bioinformatics repositories currently available, including popular primary genetic and protein sequence databases, phylogenetic databases, structure and pathway databases, microarray databases and boutique databases. It also explores the data quality and information integration issues currently involved with managing bioinformatics databases, including data quality issues that have been observed, and efforts in the data cleaning field. Biological data integration issues are also covered in-depth, and the book demonstrates how data integration can create new repositories to address the needs of the biological communities. It also presents typical data integration architectures employed in current bioinformatics databases. The latter part of the book covers biological data mining and biological data processing approaches using cloud-based technologies. General data mining approaches are discussed, as well as specific data mining methodologies that have been successfully deployed in biological data mining applications. Two biological data mining case studies are also included to illustrate how data, query, and analysis methods are integrated into user-friendly systems. Aimed at researchers and developers of bioinformatics database systems, the book is also useful as a supplementary textbook for a one-semester upper-level undergraduate course, or an introductory graduate bioinformatics course. About the Authors Kevin Byron is a PhD candidate in the Department of Computer Science at the New Jersey Institute of Technology. Katherine G. Herbert is Associate Professor of Computer Science at Montclair State University. Jason T.L. Wang is Professor of Bioinformatics and Computer Science at the New Jersey Institute of Technology.
Need a quick laugh? Want to master the art of Dad jokes? Just want to make your coworkers groan? Fear not, 101 Preposterous Puns is for you! This book contains over 101 jokes (actually, over 200!) on topics like food, work, and the stress of life, tailor-made to get your friends and family to facepalm, chuckle, or roll on the floor laughing. PIck it up today and get ready for a journey that will have you giggling all the way to the end.
An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers Chapters authored by leading researchers in CI in biology informatics. Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases. Supplementary material included: program code and relevant data sets correspond to chapters.
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