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1.
Assessment of Time Dependent Skeletal and Non-Skeletal Changes in A Mouse Model of Multiple Myeloma Utilizing Molecular Imaging Tools
by Tabassi, Richard James, Ph.D.  The University of Texas Health Science Center at San Antonio. 2016: 98 pages; 10190767.
2.
Technetium-99m carbonyl complexes and conjugation strategies for targeted molecular imaging
by Kasten, Benjamin B., Ph.D.  Washington State University. 2014: 266 pages; 3684773.
3.
Imaging integrin AvB3 expression during tumor growth
by Lu, Xin, M.S.  Purdue University. 2011: 72 pages; 1501872.
4.
Mining discriminating patterns in data with confidence
by Kamra, Varun, M.S.  California State University, Long Beach. 2016: 59 pages; 10196147.
5.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
6.
Models for understanding student thinking using data from complex computerized science tasks
by LaMar, Michelle Marie, Ph.D.  University of California, Berkeley. 2014: 93 pages; 3686374.
7.
The use of molecular imaging to evaluate the efficacy of treatments for metastatic breast cancer
by Szafran, April Adams, Ph.D.  The University of Alabama at Birmingham. 2008: 113 pages; 3356373.
9.
Identity Construction and Language Use by Immigrant Women in a Microenterprise Development Program
by Bonder, Linda Eve, M.A.  Portland State University. 2016: 132 pages; 10141260.
11.
A control framework for continuous time adaptation in modern day embedded systems
by Kallakuri, Sankalp, Ph.D.  State University of New York at Stony Brook. 2007: 147 pages; 3334943.
12.
A Risk Analysis of the Molybdenum-99 Supply Chain Using Bayesian Networks
by Liang, Jeffrey Ryan, D.Engr.  The George Washington University. 2017: 119 pages; 10263578.
13.
Prospective radiolabeled bombesin conjugates for prostate cancer imaging and therapeutic agents
by Lane, Stephanie R., Ph.D.  University of Missouri - Columbia. 2009: 203 pages; 3459019.
14.
Predicting the Spatio-Temporal Evolution of Tumor Growth and Treatment Response in a Murine Model of Glioma
by Hormuth, David Andrew, II., Ph.D.  Vanderbilt University. 2016: 213 pages; 13835072.
15.
Scheduling policy design using stochastic dynamic programming
by Glaubius, Robert, Ph.D.  Washington University in St. Louis. 2009: 159 pages; 3386643.
16.
Learning in the presence of unawareness
by Rong, Nan, Ph.D.  Cornell University. 2016: 165 pages; 10183854.
17.
Particle filtering for stochastic control and global optimization
by Zhou, Enlu, Ph.D.  University of Maryland, College Park. 2009: 138 pages; 3372999.
18.
Reinforcement Learning in Structured and Partially Observable Environments
by Azizzadenesheli, Kamyar, Ph.D.  University of California, Irvine. 2019: 170 pages; 13896671.
19.
Genome-wide analysis of transcriptional regulation in the murine liver
by Gatti, Daniel M., Ph.D.  The University of North Carolina at Chapel Hill. 2010: 188 pages; 3408868.
20.
Understanding the Effects of Cap Management and Cap Temperature on Phenolic Extraction in Red Wine Fermentations
by Reichwage, Maximillian Herman, M.S.  University of California, Davis. 2012: 114 pages; 1539519.
21.
Autonomous qualitative learning of distinctions and actions in a developing agent
by Mugan, Jonathan William, Ph.D.  The University of Texas at Austin. 2010: 189 pages; 3428996.
22.
23.
Adaptive Video Transmission over Wireless Channels with Optimized Quality of Experiences
by Chen, Chao, Ph.D.  The University of Texas at Austin. 2013: 193 pages; 3690944.
24.
High-throughput Visual Knowledge Analysis and Retrieval in Big Data Ecosystems
by Cao, Hongfei, Ph.D.  University of Missouri - Columbia. 2015: 121 pages; 13877134.
25.
Decision Making Protocol in Autonomous Vehicles for Optimal Routing and Safe Control
by Kamireddy, Lakhan Shiva, M.S.  University of Colorado at Boulder. 2019: 62 pages; 13862790.
26.
Trajectory Planning for Autonomous Vehicles Performing Information Gathering Tasks
by Kuhlman, Michael Joseph, Ph.D.  University of Maryland, College Park. 2018: 263 pages; 10932207.
27.
Molecular Dynamics Study of Polymers and Atomic Clusters
by Sponseller, Daniel Ray, Ph.D.  George Mason University. 2017: 137 pages; 10685723.
28.
Innate Immunogenicity of Lactobacillus as a Mucosal Vaccine Vector
by Bumgardner, Sara Ashley, Ph.D.  North Carolina State University. 2015: 341 pages; 10110534.
29.
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