Physical Sciences and Mathematics Commons^™

A Markov Model For Baseball With Applications, Daniel Joseph Ursin

Theses and Dissertations

In this work we confirm a Markov chain model of baseball for 2013 Major League Baseball batting data. We describe the transition matrices for individual player data and their use in generating single and nine-inning run distributions for a given lineup. The run distribution is used to calculate the expected number of runs produced by a lineup over nine innings. We discuss batting order optimization heuristics to avoid computation of distributions for the 9! = 362, 880 distinct lineups for 9 players. Finally, we describe an implementation of the algorithms and review their performance against actual game data.

Use Of Secure Messaging By United States Veterans And Significant Others, Claudia S. Derman

Theses and Dissertations

ABSTRACT

USE OF SECURE MESSAGING BY UNITED STATES VETERANS AND SIGNIFICANT OTHERS

By

Claudia S. Derman

The University of Wisconsin-Milwaukee, 2014

Under the Supervision of Professor Karen H. Morin, PhD, RN, ANEF, FAAN

The purpose of this study was to describe the topics discussed using secure messaging (SM), the pattern of use of SM, and whether the themes discussed and/or the pattern of use varied based on gender and age of the SM user. Secure messaging is an example of a technology that focuses on patient-centered communication. Secure messaging allows patients to communicate with their clinicians using the Internet and …

Api Usage Verification Through Dataflow Analysis, Kenneth Baptiste Tapsoba

Theses and Dissertations

Using APIs in a program is often difficult because of the incomplete documentation and the shortage of available examples. To cope with that, we have seen the increase of API checking tools that provide efficient suggestions for API usage. However, most of those checking tools use a pattern-based analysis to determine errors such as misuse of API calls. In this thesis, we introduce a different analysis technique that relies on explicit API state transitions for the analysis of the program. We adopt a static dataflow analysis framework from SOOT to inspect state transitions at each program point.

Text Mining Of Patient Demographics And Diagnoses From Psychiatric Assessments, Eric James Klosterman

Theses and Dissertations

Automatic extraction of patient demographics and psychiatric diagnoses from clinical notes allows for the collection of patient data on a large scale. This data could be used for a variety of research purposes including outcomes studies or developing clinical trials. However, current research has not yet discussed the automatic extraction of demographics and psychiatric diagnoses in detail. The aim of this study is to apply text mining to extract patient demographics - age, gender, marital status, education level, and admission diagnoses from the psychiatric assessments at a mental health hospital and also assign codes to each category. Gender is coded …

Mind & Matter: The Discursive Construction Of The Iphone In Apple's Advertising, Nicholas Stratton

Theses and Dissertations

The widespread adoption of smartphone technology in the contemporary United States requires critical reflection on its role within society. This thesis compares the way Apple's television advertising discourse, from 2007 to 2011, frames the iPhone to consumers with the way Apple's iAd promotional material frames the iPhone to advertisers, and considers what the disparity between these two frameworks says about the still-evolving role of smartphone technology in society. It argues that the disparity between these two frameworks is indicative of a fundamental tension within smartphone technology. This tension is reflected in Apple's ability to discursively construct the iPhone as a …

Three Essays On Opinion Mining Of Social Media Texts, Shuyuan Deng

Theses and Dissertations

This dissertation research is a collection of three essays on opinion mining of social media texts. I explore different theoretical and methodological perspectives in this inquiry. The first essay focuses on improving lexicon-based sentiment classification. I propose a method to automatically generate a sentiment lexicon that incorporates knowledge from both the language domain and the content domain. This method learns word associations from a large unannotated corpus. These associations are used to identify new sentiment words. Using a Twitter data set containing 743,069 tweets related to the stock market, I show that the sentiment lexicons generated using the proposed method …

Complex Network Analysis For Scientific Collaboration Prediction And Biological Hypothesis Generation, Qing Zhang

Theses and Dissertations

With the rapid development of digitalized literature, more and more knowledge has been discovered by computational approaches. This thesis addresses the problem of link prediction in co-authorship networks and protein--protein interaction networks derived from the literature. These networks (and most other types of networks) are growing over time and we assume that a machine can learn from past link creations by examining the network status at the time of their creation. Our goal is to create a computationally efficient approach to recommend new links for a node in a network (e.g., new collaborations in co-authorship networks and new interactions in …

#Mplp: A Comparison Of Domain Novice And Expert User-Generated Tags In A Minimally Processed Digital Archive, Edward A. Benoit Iii

Theses and Dissertations

The high costs of creating and maintaining digital archives precluded many archives from providing users with digital content or increasing the amount of digitized materials. Studies have shown users increasingly demand immediate online access to archival materials with detailed descriptions (access points). The adoption of minimal processing to digital archives limits the access points at the folder or series level rather than the item-level description users' desire. User-generated content such as tags, could supplement the minimally processed metadata, though users are reluctant to trust or use unmediated tags. This dissertation project explores the potential for controlling/mediating the supplemental metadata from …

A Computer Learning Environment For Novice Java Programmers That Supports Cognitive Load Reducing Adaptations And Dynamic Visualizations Of Computer Memory, James Stephen Williams

Theses and Dissertations

Learning to program a computer is difficult for many. The Learning Edge Momentum hypothesis suggests that the difficulty may be due to the tightly integrated nature of programming concepts and adapting the way curriculum is offered may have a significant influence on the outcomes. We investigate applying cognitive load reducing methods to instruction of the introductory programming concepts of declaration, assignment and sequence, using a new learning environment that an instructor can adapt for a specific example or that a student can personalize for amount and modality of content provided. Our study has three learning surveys. Each learning survey has …

Citefinder: A System To Find And Rank Medical Citations, Seyed Soheil Moosavinasab

Theses and Dissertations

This thesis presents CiteFinder, a system to find relevant citations for clinicians' written content. Inclusion of citations for clinical information content makes the content more reliable through the provision of scientific articles as references, and enables clinicians to easily update their written content using new information. The proposed approach splits the content into sentences, identifies the sentences that need to be supported with citations by applying classification algorithms, and uses information retrieval and ranking techniques to extract and rank relevant citations from MEDLINE for any given sentence. Additionally, this system extracts snippets from the retrieved articles. We assessed our approach …

Adverse Drug Event Detection, Causality Inference, Patient Communication And Translational Research, Balaji Polepalli Ramesh

Theses and Dissertations

Adverse drug events (ADEs) are injuries resulting from a medical intervention related to a drug. ADEs are responsible for nearly 20% of all the adverse events that occur in hospitalized patients. ADEs have been shown to increase the cost of health care and the length of stays in hospital. Therefore, detecting and preventing ADEs for pharmacovigilance is an important task that can improve the quality of health care and reduce the cost in a hospital setting. In this dissertation, we focus on the development of ADEtector, a system that identifies ADEs and medication information from electronic medical records and the …

Ant Build Maintenance With Formiga, Ryan Hardt

Theses and Dissertations

A build system produces a set of deliverables from a software project's source code and resources. "Build maintenance" refers to the changes made to the build system as a software project evolves over time. It has been shown to impose a significant overhead on overall development costs, in part because changes to source code often require parallel changes in the build system. However, little tool support exists to assist developers with build maintenance, particularly for those changes that must accompany changes to the source code. Formiga is a build maintenance and dependency discovery tool for the Ant build system. Formiga's …

Pre-Computation In Width-W Τ-Adic Naf Implementations On Koblitz Curves, William Robert Trost

Theses and Dissertations

This paper examines scalar multiplication on Koblitz curves employing the Frobenius endomorphism. We examine simple binary scalar multiplication, binary Non Adjacent Formats or NAF's, followed by τ-NAF methods. We pay particular attention to width-τ-NAF where we focus on pre-computation. We present alternative pre-computation arrangements for α_u for width sizes of 5 and 6 which are better than any previously published results since they: involve a single power of τ are based on least norms; and have a maximum of 2^{w - 2} - 1 elliptic curve operations. We then study widths of 7 and 8 producing efficient arrangements. …

Disease Name Extraction From Clinical Text Using Conditional Random Fields, Omid Ghiasvand

Theses and Dissertations

The aim of the research done in this thesis was to extract disease and disorder names from clinical texts. We utilized Conditional Random Fields (CRF) as the main method to label diseases and disorders in clinical sentences. We used some other tools such as MetaMap and Stanford Core NLP tool to extract some crucial features. MetaMap tool was used to identify names of diseases/disorders that are already in UMLS Metathesaurus. Some other important features such as lemmatized versions of words, and POS tags were extracted using the Stanford Core NLP tool. Some more features were extracted directly from UMLS Metathesaurus, …

Version Aware Libreoffice Documents, Meenu Pandey

Theses and Dissertations

Version control systems provide a methodology for maintaining changes in a document over its lifetime and provide better management and control with evolving document collections, such as source code for large software systems. However, no version control system currently supports such functionality for the office documents.

An office document can go through different modifications during its lifetime and can be developed by multiple technical or non-technical users. It might be desirable to know how the document came to its final stage and to sometime retrieve older versions of the document or merge two different versions of a document without manual …

Three Research Essays On The Effects Of Charity Website Design On Online Donations, Dong-Heon Austin Kwak

Theses and Dissertations

This dissertation, which comprises three essays, examines the effects of charity website characteristics on people's attitudes and online donation behaviors based on the elaboration likelihood model of persuasion (Essay 1), the halo effect (Essay 2), and self-schema, congruity, and visual rhetoric (Essay 3).

Essay 1: The Elaborating Role of Personal Involvement with Charity Giving and Helper's High on the Effects of Website Quality: Multiple Roles of Variables

Although the Elaboration Likelihood Model (ELM) has been utilized for decades, researchers have not leveraged its full capabilities and richness in understanding the multiple roles postulate and employing the central and peripheral routes …

Three Essays On The Role Of It In Environmental Sustainability: Motivating Individuals To Use Green It, Enhancing Their User Experience, And Promoting Electricity Conservation, Abdullah Al Bizri

Theses and Dissertations

This dissertation focuses on the role of IT in environmental sustainability and electricity conservation through three research essays. The first essay makes a case for behavior research, with the focus on individuals' use of Green IT. Moreover, environmental studies lack a coherent theory that could identify the motivators of Green-IT beliefs. We develop the hedonic motivation theory, which synthesizes theoretical and philosophical thoughts on hedonism with concepts from environmental research. Using this theory, we develop a conceptual model that identifies the motivators of context-specific beliefs, attitudes, and uses of Green IT. We theorize that there are significant generational differences in …

Google Books As Infrastructure Of In/Justice: Towards A Sociotechnical Account Of Rawlsian Justice, Information, And Technology, Anna Lauren Hoffmann

Theses and Dissertations

The Google Books project is germane for examining underappreciated dimensions of social justice and access to information from a Rawlsian perspective. To date, however, the standard account of Rawls as applied to information and technology has focused almost exclusively on rights to access and information as a primary good (Drahos 1996; van den Hoven and Rooksby 2008; Duff 2011). In this dissertation, the author develops an alternative to the standard account--the sociotechnical account--that draws on underappreciated resources available within discussions of Rawls' work. Specifically, the author focuses on the importance of Rawls' basic structure argument and the value of self-respect--two …

Nonconvex Cases For Carpenter's Rulers, Ke Chen

Theses and Dissertations

We consider the carpenter's ruler folding problem in the plane, i.e., finding a minimum area shape with diameter 1 that accommodates foldings of any ruler whose longest link has length 1. An upper bound of 0.614 and a lower bound of 0.476 are known for convex

cases. We generalize the problem to simple nonconvex cases: in this setting we improve the upper bound to 0.583 and establish the first lower bound of 0.073. A variation is to consider rulers with at most k links. The current best convex upper bounds are 0.486 for k = 3, 4 and 0.523 for …

Scalable, Efficient And Optimal Discrete-Time Rebalancing Algorithms For Log-Optimal Investment Portfolio, Sujit Ranjan Das

Theses and Dissertations

Portfolio rebalancing decisions are crucial to today's portfolio managers especially in high frequency algorithmic trading environment. These decisions must be made fast in dynamic market conditions. We develop computational algorithms to determine optimal rebalance frequency (ORF) of a class of investment portfolio for a finite investment horizon. We choose log-optimal investment portfolio which is deemed to be impractical and cost-prohibitive due to inherent need for continuous rebalancing and significant overhead of trading cost. Optimality of such portfolio is assured only when for very long term investor horizon. We study the question of how often a log-optimal portfolio be rebalanced for …