The history of Mexico. Collected from Spanish and Mexican historians, from manuscripts and ancient paintings of the Indians. Illustrated by Charts and other copper plates. To which are added, critical dissertations on the land, the animals, and inhabitants of Mexico.

Mode of access: Internet.

The Ohio river. : Charts, drawings, and description of features affecting navigation.

Mode of access: Internet.

Nutritional Charts : prepared expressly for medical, dental, and dietetic specialists /

Mode of access: Internet.

Reprint of educational charts prepared for the exhibit of Princeton university at the Paris exposition of 1900.

Mode of access: Internet.

Alabama as it is: or, The immigrant's and capitalist's guide book to Alabama. Furnishing the most accurate and detailed information concerning the varied elements of wealth in Alabama, whether of mine, field or forest, together with carefully prepared maps and charts illustrative of the numerous advantages possessed by the state.

Published by the state Department of agriculture.

Terrestrial magnetism. Alaska magnetic tables and magnetic charts for 1920,

Running title: Alaska magnetic tables and charts, 1920.

Hydrographical surveying : a description of means and methods employed in constructing marine charts /

Mode of access: Internet.

Reprint of hydrographic information from the Pilot charts and Hydrographic bulletin

Mode of access: Internet.

Graphic charts in business.

Mode of access: Internet.

Upper Mississippi River navigation charts.

Includes maps of the Mississippi River above Cairo, Ill., and its tributaries.

Fundamental laws of humidity with charts and tables /

Mode of access: Internet.

Charts relating to the 1929 agricultural outlook.

Mode of access: Internet.

Industrial health and medical programs; statements, tables and charts selected and compiled

Bibliography: p. 388-397.

Use of a probabilistic neural network to reduce costs of selecting construction rock

Rocks used as construction aggregate in temperate climates deteriorate to differing degrees because of repeated freezing and thawing. The magnitude of the deterioration depends on the rock's properties. Aggregate, including crushed carbonate rock, is required to have minimum geotechnical qualities before it can be used in asphalt and concrete. In order to reduce chances of premature and expensive repairs, extensive freeze-thaw tests are conducted on potential construction rocks. These tests typically involve 300 freeze-thaw cycles and can take four to five months to complete. Less time consuming tests that (1) predict durability as well as the extended freeze-thaw test or that (2) reduce the number of rocks subject to the extended test, could save considerable amounts of money. Here we use a probabilistic neural network to try and predict durability as determined by the freeze-thaw test using four rock properties measured on 843 limestone samples from the Kansas Department of Transportation. Modified freeze-thaw tests and less time consuming specific gravity (dry), specific gravity (saturated), and modified absorption tests were conducted on each sample. Durability factors of 95 or more as determined from the extensive freeze-thaw tests are viewed as acceptable—rocks with values below 95 are rejected. If only the modified freeze-thaw test is used to predict which rocks are acceptable, about 45% are misclassified. When 421 randomly selected samples and all four standardized and scaled variables were used to train aprobabilistic neural network, the rate of misclassification of 422 independent validation samples dropped to 28%. The network was trained so that each class (group) and each variable had its own coefficient (sigma). In an attempt to reduce errors further, an additional class was added to the training data to predict durability values greater than 84 and less than 98, resulting in only 11% of the samples misclassified. About 43% of the test data was classed by the neural net into the middle group—these rocks should be subject to full freeze-thaw tests. Thus, use of the probabilistic neural network would meanthat the extended test would only need be applied to 43% of the samples, and 11% of the rocks classed as acceptable would fail early.

A probabilistic switch model of information flow in social networks: Application for virtual circuits to organizational design

Network building and exchange of information by people within networks is crucial to the innovation process. Contrary to older models, in social networks the flow of information is noncontinuous and nonlinear. There are critical barriers to information flow that operate in a problematic manner. New models and new analytic tools are needed for these systems. This paper introduces the concept of virtual circuits and draws on recent concepts of network modelling and design to introduce a probabilistic switch theory that can be described using matrices. It can be used to model multistep information flow between people within organisational networks, to provide formal definitions of efficient and balanced networks and to describe distortion of information as it passes along human communication channels. The concept of multi-dimensional information space arises naturally from the use of matrices. The theory and the use of serial diagonal matrices have applications to organisational design and to the modelling of other systems. It is hypothesised that opinion leaders or creative individuals are more likely to emerge at information-rich nodes in networks. A mathematical definition of such nodes is developed and it does not invariably correspond with centrality as defined by early work on networks.