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1.
Argumentation: Embedding claim, evidence, and reasoning into your classroom
by Aguilar, Judith, M.S.  California State University, Long Beach. 2015: 74 pages; 1602342.
2.
The embedding of Gauged N = 8 Supergravity into 11 Dimensions
by KrĂĽger, Olaf, Ph.D.  Humboldt Universitaet zu Berlin (Germany). 2016: 106 pages; 27733067.
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Embedding Threshold Concepts in a Large Lecture Course: An Examination of Uptake of Disciplinary Actions
by McGowan, Susannah Thacker, Ph.D.  University of California, Santa Barbara. 2014: 296 pages; 3637449.
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Imperfect stegosystems—Asymptotic laws and near-optimal practical constructions
by Filler, Tomas, Ph.D.  State University of New York at Binghamton. 2011: 182 pages; 3465618.
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Low-Dimensional Embeddings for Symbolic Data Science
by Tillquist, Richard Carter, Ph.D.  University of Colorado at Boulder. 2020: 102 pages; 27833617.
10.
War's Visual Discourse: A Content Analysis of Iraq War Imagery
by Major, Mary Elizabeth, M.S.  Portland State University. 2013: 138 pages; 1535957.
11.
Efficient Public-Key Watermark Techniques for Authentication
by Jiang, Feng, Ph.D.  Purdue University. 2017: 124 pages; 10618833.
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A reversible data hiding technique in encrypted images by creating space before encryption
by Pakala, Vinay Kumar Reddy, M.S.  California State University, Long Beach. 2016: 37 pages; 10141524.
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Analysis on the distinct path in a star interconnection network
by Liu, Yadong, M.S.  California State University, Long Beach. 2013: 61 pages; 1523201.
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Real-Time Adaptive Data-Driven Perception for Anomaly Priority Scoring at Scale
by Miraftabzadeh, Seyed Ali, Ph.D.  The University of Texas at San Antonio. 2017: 142 pages; 10686275.
16.
Image encryption with reversible data hiding by using least significant bits transformation
by Yallanuru, Bhaskar, M.S.  California State University, Long Beach. 2016: 35 pages; 1606099.
17.
Learning to Manipulate Novel Objects for Assistive Robots
by Sung, Jaeyong, Ph.D.  Cornell University. 2017: 190 pages; 10258261.
18.
Improving Knowledge Graph Quality with Network Representation Learning
by Shi, Baoxu, Ph.D.  University of Notre Dame. 2018: 108 pages; 13836462.
19.
The United Nations Global Compact's human rights principles: An analysis
by Ghaibeh, Huda Julie, M.S.S.  University of Colorado at Denver. 2014: 133 pages; 1556855.
21.
Spectral geometry with applications to data analysis
by Portegies, Jacobus W., Ph.D.  New York University. 2014: 147 pages; 3635292.
22.
New Paths from Splay to Dynamic Optimality
by Levy, Caleb Carson, Ph.D.  Princeton University. 2019: 137 pages; 13885892.
23.
In-Mold Assembly of Multi-Functional Structures
by Bejgerowski, Wojciech, Ph.D.  University of Maryland, College Park. 2010: 242 pages; 3443421.
24.
Comparison and Fine-Grained Analysis of Sequence Encoders for Natural Language Processing
by Keller, Thomas Anderson, M.S.  University of California, San Diego. 2017: 87 pages; 10599339.
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Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
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Sparse recovery and parameterization of manifold-valued data
by Taylor, Kye, M.S.  University of Colorado at Boulder. 2008: 105 pages; 1453576.
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Quantitative Embeddability and Connectivity in Metric Spaces
by Eriksson-Bique, Sylvester David, Ph.D.  New York University. 2017: 267 pages; 10261097.
29.
Curating Interest in Open Story Generation
by Behrooz, Morteza, Ph.D.  University of California, Santa Cruz. 2019: 164 pages; 27670482.
30.
Feature Selection for Diffusion Methods Within a Supervised Context
by Le, Minh-Tam, Ph.D.  Yale University. 2014: 135 pages; 3582256.
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