Search results for: too-much-noise

Too Much Noise

Author : Rohini Nilekani
File Size : 90.94 MB
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Sringeri Srinivas, the lovable farmer with very long hair, has to take his cows along the new highway, to the cattle fair. Our farmer finds the noise just too much!

A Guide for Using Too Much Noise in the Classroom

Author : Sandy Pellow
File Size : 65.7 MB
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Includes the following features: sample lesson plans, pre-reading activities, biographical sketch and picture of the author, book summary, vocabulary lists and vocabulary activity ideas, quizzes, hands-on projects, cooperative learning activities, cross-curricular activities, post-reading activities, book report ideas, and research ideas.

Too Much Noise

Author : Ann McGovern
File Size : 43.60 MB
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Peter complains his house is too noisy so the wise man advises him to obtain some rather unusual house guests.

Too Much Noise An Eastern European Folktale

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File Size : 79.4 MB
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Grades K2 Acclaimed educators Brian Hiller and Don Dupont are pleased to present this resource that brings quality childrens literature to life with the use of nursery rhymes and a fresh interpretation of the old tale. This resource comes complete with a P/A CD, piano/vocal scores, reproducible student scores and lyrics, costume and prop templates, an easy-to-use program template, letters for your parents, and more!

Too Much Noise in the Library

Author : Susan Margaret Chapman
File Size : 50.43 MB
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Alarmed by the loud sounds in a school's library during a librarian's absence, a mayor eliminates each sound until it is silent, prompting the librarian to try and convince him of the error of his decision when she returns.

Too Much Noise

Author :
File Size : 57.32 MB
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It s Too Noisy

Author : Robert Rosen
File Size : 31.16 MB
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Annie wants to read. But everywhere is so noisy! Where can she go that is quiet to read in peace?

Public Hearings on Noise Abatement and Control

Author : United States. Office of Noise Abatement and Control
File Size : 82.98 MB
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Sometimes Noise is Big

Author : Angela Coelho
File Size : 47.37 MB
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What would life be like if the world was too noisy for your eyes, or your clothes always felt too itchy? This picture book describes the world from the point of view of a child with autism and the sensory issues and big feelings they often encounter. This simple explanation is ideal for children aged 5+ to help understanding of sensory issues.

Statistical Analysis of fMRI Data

Author : F. Gregory Ashby
File Size : 75.83 MB
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An overview of statistical methods for analyzing data from fMRI experiments. Functional magnetic resonance imaging (fMRI), which allows researchers to observe neural activity in the human brain noninvasively, has revolutionized the scientific study of the mind. An fMRI experiment produces massive amounts of highly complex data; researchers face significant challenges in analyzing the data they collect. This book offers an overview of the most widely used statistical methods of analyzing fMRI data. Every step is covered, from preprocessing to advanced methods for assessing functional connectivity. The goal is not to describe which buttons to push in the popular software packages but to help readers understand the basic underlying logic, the assumptions, the strengths and weaknesses, and the appropriateness of each method. The book covers all of the important current topics in fMRI data analysis, including the relation of the fMRI BOLD (blood oxygen-level dependent) response to neural activation; basic analyses done in virtually every fMRI article—preprocessing, constructing statistical parametrical maps using the general linear model, solving the multiple comparison problem, and group analyses; the most popular methods for assessing functional connectivity—coherence analysis and Granger causality; two widely used multivariate approaches, principal components analysis and independent component analysis; and a brief survey of other current fMRI methods. The necessary mathematics is explained at a conceptual level, but in enough detail to allow mathematically sophisticated readers to gain more than a purely conceptual understanding. The book also includes short examples of Matlab code that implement many of the methods described; an appendix offers an introduction to basic Matlab matrix algebra commands (as well as a tutorial on matrix algebra). A second appendix introduces multivariate probability distributions.