Books about Gehringer from Amazon.com

Charlie Gehringer was the best second baseman of his era. He is regarded by many as the best two-strike hitter of all time and his seemingly effortless fielding ability earned him the nickname of "The Mechanical Man." Sports writers groused that he was too quiet to be a star. Charlie replied that he didn't hit with his mouth. This work follows Gehringer's career from the day a scout spotted him on the sandlots of Michigan in 1923 to his induction into the Hall of Fame in 1949 and into his life after baseball..
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The Web is headed towards 3D development -- and it's headed there faster than most developers realize! Java 3D Jump-Start delivers a concise, hands-on introduction to Java 3D that lets developers achieve powerful results with surprisingly little coding. Authored by a renowned Web 3D expert, Aaron Walsh, and a member of Sun's Java 3D Engineering Team, Doug Derringer, Java 3D Jump-Start thoroughly demystifies both 3D and the Java 3D API, which many believe will be the #1 solution for delivering 3D on the Web. Java 3D Jump-Start begins with a quick introduction to 3D concepts and terminology; then introduces the Java 3D API, its capabilities, requirements, and current limitations. The authors walk through installing Java 3D; using the API for both applet and application development; distributing Java 3D Web applets; and much more. For all Java developers and Web professionals who are new to Java 3D, or to 3D programming in general..
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This digital document is a journal article from Forest Ecology and Management, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Forest policy makers increasingly desire the use of quantitative descriptions to define desirable forest characteristics as a target for forest management. A framework for quantitative, multivariate target definition and assessment is described. The framework uses the joint distribution of multiple forest structure attributes to describe a set of desired forest structures and to identify a target region. The target region contains the most likely attribute values and its extent is controlled by choosing a probability of acceptance or acceptance level. Nonparametric procedures implementing the target definition and assessment framework have been developed and are described. The implemented procedures were used with a real data set representing 129 riparian stands in western Washington State, U.S.A. to define a three-dimensional target for riparian forest management in the region using stand density, quadratic mean diameter, and average tree height. A bootstrap simulation and a 50-50 split representative sample were used to evaluate the consistency of the implemented procedures by testing the null hypothesis that attribute value distributions for a target data set and an observation data set, both randomly drawn from a common distribution, were statistically indistinguishable. Chi-squared goodness of fit tests with @a=0.05 were used to compare observed mean acceptance percentages from the bootstrap simulation and observed acceptance percentages from the 50-50 split representative sample to the targeted acceptance levels of 95%, 90%, 80%, and 50%. Evaluation results indicated that the target definition and assessment procedures were consistent by failing to reject the null hypothesis for each evaluation method, with p-values of p=0.963 for the bootstrap simulation and p=0.866 for the 50-50 split representative sample. .
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This digital document is a journal article from Chemosphere, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Electron beam irradiation (EBI), as one of the most efficient advanced oxidation processes, was applied to the treatment of sewage treatment plant (STP) effluent, with the objective of evaluating the effectiveness of radiolytic decomposition of multi-class surfactants. Target compounds, included several high-volume surfactant groups, such as alkylphenol ethoxylates (APEOs) and their biotransformation products, linear alkylbenzene sulfonates (LAS), alkyl sulfates (AS), alkylether sulfates (AES), coconut diethanol amides (CDEA), alcohol ethoxylates (AEO) and polyethylene glycols (PEGs). EBI treatment of STP effluent (total concentration of APEO-derived compounds 265@mgl^-^1, being APE"2C the most abundant by-degradation products) resulted in efficient decomposition of all alkylphenolic compounds; elimination of 94% longer ethoxy chain nonylphenol ethoxylates (NPEO, n"E"O=3-15) was obtained when 3kGy were applied. Slightly less efficient decomposition of short ethoxy chain oligomers (NPEO"1 and NPEO"2) was observed, resulting in disappearance of about 80% of the initially present compounds. LC-MS analysis of treated wastewater suggested that the mechanism of EBI degradation of APEOs is a combination of two parallel pathways: a progressive shortening and oxidation of the ethoxy chain, which resulted in a formation of short ethoxy chain oligomers and APECs and central fission that resulted in formation of PEGs. Decomposition of APECs at 1kGy initially yielded APs, which were subsequently eliminated applying higher radiation doses. With a radiation dose of 2kGy about 95% of NPE"1C and 97% of NPE"2C were decomposed. Similar elimination rates were obtained for octylphenolic compounds. Radiolytic treatment applied was also very effective in removing PEGs formed as by-products from APEO degradation, as well as in decomposing other surfactants, such as linear LAS, AS and AES. .
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