Circular 73

An assessment of Growth of Infrastructure Booms have been a common element in the development of frontier areas in the 19th and 20th centuries. Most commonly, the booms have been associated with resource development such as the mineral booms of the western United States. Booms usually involve some type of dramatic short- term change which has wide-ranging implications (Gilmore, 1976). Since the arrival of the Russians in Alaska, six major booms have occurred: furs, whales, salmon, minerals, military, and petroleum. Each of these booms has, to some degree, created changes in the landscape of Alaska, in particular, the infrastructural base, which in turn has facilitated subsequent development, either another major boom, or a smaller development. For example, agricultural development has been enhanced by mineral, military, and petroleum booms in Alaska. The cumulative impact on infrastructure of more than one boom, or multibooms, as it is referred to here, is the focus of this paper. One problem encountered in studying booms is that there is no general agreement on what constitutes a boom. Detailed studies of booms in communities such as Dixon’s (1978) analysis of Fairbanks and Gilmore’s multi-community work in the Great Plains—Rocky •mountain regions, contained no specific definition of the term “boom”. Yet it was clear in each study that something dramatic had occurred. More general historical studies of the Western mineral bonanzas (Greever, 1963) or the Klondike gold rush (Berton, 1958) likewise suggest a number of factors such as population rise, influx of money, resource extraction, and infrastructure expansion. But in each case, there is no specific factor or define rate of something that specifically qualifies a time period as a boom. In this study, we are concerned with dramatic change of events which have had a major impact on the geographic landscape of an area, As a framework for the initial study, we review those events which have been given attention as boom-type activities in the historical literature of Alaska (Rogers, 1962; Naske and Slotnick, 1987)

Central Limit Theorems for some Set Partition Statistics

We prove the conjectured limiting normality for the number of crossings of a uniformly chosen set partition of [n] = {1,2,...,n}. The arguments use a novel stochastic representation and are also used to prove central limit theorems for the dimension index and the number of levels

The 1935 Iowa corn yield test

The purpose of the Iowa Corn Yield Test is to find for each district of the state those strains of com which w ill produce the largest yields of sound grain. Significant differences in yield between strains grown in test fields under as nearly as possible the same conditions may be attributed to differences inherent in the strain. The test was conducted in a manner similar to that of 1933 and 1934 in that 9 instead of 12 fields were used. Data were obtained this year, for the first time, on the percentage of dropped ears and on the percentage of damaged corn at harvest

The 1936 Iowa corn yield test

1. Eight hundred seventy-nine entries were made in the 10 harvested districts of the 1936 Iowa Corn Yield Test. The yield test fields in districts 4 and 7 were abandoned because of crop failure. The entries were divided into four groups; regular open-pollinated, experimental open-pollinated, regular hybrids and experimental hybrids. 2. Data were obtained for each entry on acre yield, percentage stand, moisture content at time of harvest, lodging resistance, ear height, percentage of dropped ears and percentage of damaged kernels. 3. The outstanding feature of the 1936 Iowa Corn Yield Test was the superior performance of the hybrid combinations as compared with the open-pollinated varieties. The average yield of all hybrid entries in the 10 fields was 30.8 percent greater than for the open-pollinated strains. In District 11 the hybrids averaged 53.9 percent greater yield than the open-pollinated varieties. The hybrids in District 1, however, had an advantage of only 6.6 percent. This is attributed to the damage wrought by a severe hail storm the latter part of August which brought the effective growing season to a premature end. In addition to producing a greater yield the two classes of hybrid entries had much more lodging resistance

The equivalence between the convergences of Ishikawa and Mann iterations for an asymptotically nonexpansive in the intermediate sense and strongly successively pseudocontractive maps

AbstractThe convergence of modified Mann iteration is equivalent to the convergence of modified Ishikawa iterations, when T is an asymptotically nonexpansive in the intermediate sense and strongly successively pseudocontractive map

Characterization for the Convergence of Krasnoselskij Iteration for Non-Lipschitzian Operators

We establish the convergence of Krasnoselskij iteration for various classes of non-Lipschitzian operators

Accelerating Uranium in RHIC – II Surviving the AGS Vacuum

This Report is about the description of the survival rate of charge 90+ uranium ions in the AGS vacuum

Broadband Photometry of Pluto

Broadband Photometry was obtained to provide data on Pluto, discovered on January 23, 1930 by Clyde W. Tombaugh at Lowell Observatory in Flagstaff, Arizona. Our data was collected over a series of four nights of time-resolved Bessel BVRI photometry using the 0.6-m telescope at the JPL Table Mountain Observatory (TMO) located in Wrightwood, California. Our collected data will complement the data obtained by the New Horizons mission to calculate Pluto’s solar phase curve at opposition. The primary objective of our work will be to analyze the solar phase curve of Pluto while it is at opposition. Our work will help in understanding Pluto. It will also provide evidence for seasonal transportation of volatiles within Pluto’s atmosphere. Our data will be analyzed through various programs, where we will use both biases and sky-flats to make any correction to the images of Pluto we’ve obtained (i.e debris). Once we have analyzed the data, we will be able to calculate and plot Pluto’s solar phase curve. Our data will be used to complement the data obtained by the New Horizons mission and possibly answer questions regarding the seasonal transport of volatiles as found on Pluto, as well as the albedo patterns