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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 prey

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

1828 Noah Webster Dictionary
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prey

PREY, n. [L. proeda.]

1. Spoil; booty; plunder; goods taken by force from an enemy in war.

And they brought the captives and the prey and the spoil to Moses and Eleazar the priest. Num.31.

In this passage,the captives are distinguished from prey. But sometimes persons are included.

They [Judah] shall become a prey and a spoil to all their enemies. 2 Kings 21.

2. That which is seized or may be seized by violence to be devoured; ravine. The eagle and the hawk dart upon their prey.

She sees herself the monster's prey.

The old lion perisheth for lack of prey. Job.4.

3. Ravage; depredation.

Hog in sloth, fox in stealth, lion in prey.

Animal or beast of prey, is a carnivorous animal; one that feeds on the flesh of other animals. The word is applied to the larger animals, as lions, tigers, hawks, vultures, &c. rather than to insects; yet an insect feeding on other insects may be called an animal of prey.

PREY, v.i. To prey on or upon, is to rob; to plunder; to pillage.

1. To feed by violence, or to seize and devour. The wolf preys on sheep; the hawk preys on chickens.

2. To corrode; to waste gradually; to cause to pine away. Grief preys on the body and spirits; envy and jealousy prey on the health.

Language is too faint to show

His rage of love; it preys upon his life;

He pines, he sickens, he despairs, he dies.

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quarrelsomeness

QUAR'RELSOMENESS, n. Disposition to engage in contention and brawls; petulance.

About 1828

First dictionary of the American Language!

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.

This standard reference tool will greatly assist students of all ages in their studies.

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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monte

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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.
Monte J. Shaffer Monte J. Shaffer is a fourth-year Ph.D. student and job market candidate (2011) in the Department of Marketing at Washington State University. Monte is currently working on his marketing dissertation in Entrepreneurial Innovations. Prior to joining Washington State University, Monte received a Bachelor in Mathematics / MBA in Marketing from Brigham Young University (BYU) in Provo, UT.
Monte from Montana "Monte from Montana" was born and raised near Glacier National Park. He is a strong, sober mind that likes to solve problems in order to help people. Following in his father's footsteps, he began teaching high school mathematics (BYU: mathematics with minors in Physics and Spanish). The excitement of the dot-com era led Monte to Monterey California where he became a Senior Software Engineer doing web-application development for an Internet Company. Following the bubble-burst, he returned to BYU (MBA: Marketing Research). Monte is concurrently working toward his Ph.D. in Marketing and a M.S. in Statistics at WSU in Pullman, Washington. Generally, he likes to identify innovative statistical techniques that can help solve marketing problems. Specifically, his interests are in Entrepreneurial Innovation, U.S. Patent Data, and Internet Consumer Behavior. Outside of Marketing, Monte enjoys his family, a good game of basketball, golf, and chess.
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.
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

Learn more about U.S. patents:

Patent # 7,654,321 ()
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1828 Noah Webster Dictionary

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