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In my view, the Christian religion is the most important and one of the first things in which all children, under a free government ought to be instructed... No truth is more evident to my mind than that the Christian religion must be the basis of any government intended to secure the rights and privileges of a free people.
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1828 Noah Webster Dictionary
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1828.mshaffer.comWord vomit

1828 edition of Webster's American Dictionary of the English Language

1828 Noah Webster Dictionary
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vomit

VOM'IT, v.i. [L. vomo. probably the Gr. is the same word, with the loss of its first letter.]

To eject the contents of the stomach by the mouth. Some persons vomit with ease, as do cats and dogs. But horses do not vomit.

VOM'IT, v.t.

1. To throw up or eject from the stomach; to discharge from the stomach through the mouth. It is followed often by up or out, but without necessity and to the injury of the language. In the yellow fever, the patients often vomit dark colored matter, like coffee grounds.

The fish vomited out Jonah upon the dry land. Jonah 2.

2. To eject with violence from any hollow place. Volcanoes vomit flames, ashes, stones and liquid lava.

VOM'IT, n.

1. The matter ejected from the stomach.

2. That which excites the stomach to discharge its contents; an emetic.

Black vomit, the dark colored matter ejected from the stomach in the last stage of the yellow fever or other malignant disease; hence, the yellow fever, vulgarly so called.

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Noah Webster, the Father of American Christian education, wrote the first American dictionary and established a system of rules to govern spelling, grammar, and reading. This master linguist understood the power of words, their definitions, and the need for precise word usage in communication to maintain independence. Webster used the Bible as the foundation for his definitions.

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No other dictionary compares with the Webster's 1828 dictionary. The English language has changed again and again and in many instances has become corrupt. The American Dictionary of the English Language is based upon God's written word, for Noah Webster used the Bible as the foundation for his definitions. This standard reference tool will greatly assist students of all ages in their studies. From American History to literature, from science to the Word of God, this dictionary is a necessity. For homeschoolers as well as avid Bible students it is easy, fast, and sophisticated.


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Diffusion of Radical Innovation: Assessing and Estimating Value of Innovations Assessing a firm's innovation portfolio is a challenge? Even more difficult is estimating its future value? This paper applies the principles of the Bass model of diffusion of innovation \citep{Bass:1969} to the estimation of forward citations, ``class-match" dampened forward citations, and the newly introduced Patent Rank Scores. The cumulative diffusion will be modeled using a generalized logistic function known as the Richards' curve \citep{Richards:1959}. To estimate the parameters of the the model, the Newton-Raphson method is used. Over 22,000 randomly selected patents from 1976--2008 will be individually modeled, and diffusion patterns will be classified based on the parameters of the model. Valuation of innovation can be objectively assessed, and future valuation can be predicted based on each innovation's specific diffusion pattern.
Patent Rank: An Objective Measure of Radical Innovation Patent data is publicly available, serves as a instrument for doing patent-level and firm-level analysis for both private and public firms, and amidst the modern information age, may be the only way to secure intellectual property. Patent counts or forward-citation counts have been traditionally used to measure the innovation portfolio of a firm. Using network analysis, a variation of Google's PageRank algorithm is introduced to the patent citation network to define an objective measure for radical innovation -- ``Patent Rank". Two model types are considered: simple structure and technology ``class-match" using two temporal forms: cumulative network and five-year moving window. All utility patents from 1976--2009 will be analyzed; over 5.6 million patents and 40 million citations are evaluated to produce 332 million Patent Rank scores. Useful distributional properties are considered and these objective scores are compared to a recent subjective survey performed by PBS to assess the question: What are the most radical innovations of the modern era?
Entrepreneurial Innovation My interests in marketing strategy are related to entrepreneurs, entrepreneurial startups, and their perceptions. Specifically, how do they make sense of the information they perceive in the market place and how do these perceptions influence their marketing strategies for their entrepreneurial ideas.
Revisiting Value Creation and Value Appropriation: An Entreprenurial Perspective An application of the Patent Rank Score will be used to validate the concept of economic development and firm value. Specifically, it will be shown that the Patent Rank Score will provide improved explanatory power over previous measures of radical innovation and firm performance. \citet{Mizik:2003} described the importance of strategic emphasis and value creation/appropriation on firm performance. In the analysis, firms were grouped into low-, stable-, and high- technology groups. In the first analysis, the firms are objectively grouped based on Patent Rank Scores. Further analysis will model firm performance based on stock returns and strategic emphasis \citep{Mizik:2003}. Mediation of innovation using Patent Rank Scores will also be considered.
Patent Data There has been a call for 'new' patent data (Kortum - see Tellis et al. 2009). I believe that I can contribute to the field of marketing strategy by improving the data available, and describing its potential uses. The new data source allows for large and rich information regarding patents that can be used in many types of strategic analyses. The most recent run of these data consisted of 73 IT firms in the S&P 500. Collecting data from January 1996 to June 2009 provides over 192,000 patents with information about forward/backward citations, classification matches, and more. The programming process to run this list took nearly 36 hours as it had to analyze over 3 million patents to create the informative dataset. This is my definition of new data, and the process is continuous and ongoing: (1) All Patent Data has been harvest (8 million patents); (2) Parsed Data is currently being stored in database format; (3) Firm boundary issues [IBM, Internation Business Machines, mergers, misspellings, etc.]; (4) with an intent to do new modeling research on the patent data: (a) Diffusion of Radical Innovations (patents); (b) Patent Rank (e.g., Page Rank applied to patent network of citations) - structural and weighted ranks (e.g., classification matching); (c) EIQ; (d) Race to the Patent Office; (e) Patent Pending

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Patent # 7,654,321 ()
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