Predicting Survival Probability Based on Gene Expression Levels

Predicting survival probability (or any other response variable) from gene expression data presents some challenging problems, because the number of variables is typically much larger than the sample size. I will briefly mention a few methods that are used for dimension reduction

TECHNO-POLITICS: PRESIDENTIAL RHETORIC AND THE AMERICAN TECHNOLOGICAL MYTHOLOGY

The US American political machine has always been concerned with science and technology. This focus strengthened following World War II as the US government substantially increased funding and work force to support basic and applied research as a major means to compete with and defend against other nations. An army of people now exists within the federal government whose job is to maintain our scientific and technological superpower status. Borrowing from the notion of the rhetorical presidency, this paper discusses the rise of the techno-political presidency in American politics. More specifically, the analysis closely analyzes Truman‟s “Bombing of Hiroshima” speech, examines significant Presidential scientific and technological discourse since, and speculates upon the implications of such a focus for our political future. This case highlights an important, but neglected area of rhetorical study—significant enough to warrant attention as a rhetorical sub-genre.Keywords: Presidential discourse, Rhetoric of technology, Political mythology, Genre, United States of America“Like all mythology in a politically conscious age, the idea of an electrical utopia can be and is exploited by established institutions . . . . Technology finally serves the very military and industrial policies it was supposed to prevent” (Cary and Quirk, 1970)

Winston Churchill's "crazy broadcast": party, nation, and the 1945 Gestapo speech

Copyright © 2010 by The North American Conference on British Studies. Published version reproduced with permission of the publisher.Article doesn't contain an abstract

Identification of a Carboxyl group at the Active Site of Barley MaIt Phosphatase

The dependence of the maximal velocity, Vm with pH for barley malt phosphatase has been studied from pH 4.0 to 5.4. The data show that an ionizable group in the enzyme-substrate complex with a pK2 of 4-4.6 is important for enzymic activity. These results suggest strongly the involvement of a carboxyl group of a glutamic or aspartic acid residue at the active site of this enzyme

Long-Term Field Performance of Biosand Filters in the Artibonite Valley, Haiti

A field study assessing the sustainability and efficacy of 55 biosand filters installed during 1999–2010 was conducted in the Artibonite Valley, Haiti during 2011. Twenty-nine filters were still in use. Duration of filter use ranged from \u3c 1 to 12 years. Water quality, microbial analysis, and flow rate were evaluated for each functioning filter. Kaplan- Meier analysis of filter lifespans showed that filter use remained high (\u3e 85%) up to seven years after installation. Several filters were still in use after 12 years, which is longer than documented in any previous study. Filtered water from 25 filters (86%) contained Escherichia coli concentrations of \u3c 10 most probable number of coliforms/100 mL. Recontamination of stored filtered water was negligible. Bacterial removal efficiency was 1.1 log10. Comparable results from previous studies in the same region and elsewhere show that biosand filter technology continues to be an effective and sustainable water treatment method in developing countries worldwide

Estimation of change-points in recurrent events models

Includes bibliographical references (pages [105]-108).Recurrent events data occur frequently in business, engineering, biological and medical fields. In this dissertation we focus on the medical applications (e.g. seizures, heart attacks, cancerous tumors, etc.). However, our proposed methods can be applied to other areas as well. Generally speaking, it is important to use appropriate models for the expected number of events, and sometimes this can be facilitated by modeling the cumulative intensity function or its derivative, the intensity rate. We can interpret the intensity rate as the chance of an individual experiencing the event of interest in the next moment. Modeling the intensity rate function has several advantages. We can incorporate covariates in the specification of the form of the intensity rate in order to determine predictors of the event occurrence. Also, modeling this function allows us to use all available data for an individual, rather than modeling only the first event, as in traditional survival analysis. One particular recurrent events scenario involves individuals experiencing events according to a common intensity rate, and then a treatment may be applied. Assuming the treatment to be effective, the individuals would be expected to follow a different intensity rate after receiving the treatment. Further, the treatment might be effective for a limited amount of time, so that a third rate would govern arrivals of the recurrent events after the effects of the treatment wore out. The points in time where the rate changes are called change-points. Recently, much work has been done on modeling recurrent events, and separately, on modeling hazard rates (one event per subject) with unknown change-points. However, to date, there are few methods to accomodate unknown change-points in the case of recurrent events. In this dissertation, we propose new methods to analyze such situations. Specifically, we will analyze two kinds of data, actual event and panel count. The first involves observing the exact time of each recurrent event, while the second consists of counts of events from successive intervals. Thus, panel count data is essentially interval censoring extended to recurrent events. We develop methods to fit a piecewise constant model for the intensity rate, which includes an unknown change-point. We also allow models for the intensity rate to be at first decreasing and then change to increasing (and vice versa), and estimate the location of this change.Ph.D. (Doctor of Philosophy

Studies Relating to the Cause of the Low Milk Fat Syndrome Associated With the Feeding of High Grain - Low Fiber Diets to Lactating Dairy Cows

82 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1975.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD