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1.
Predicting Risk Of Recurrent Stroke Based On Changes In Risk Factors: The VISP Study
by Campbell, Stephen Michael, Ph.D.  The University of North Carolina at Chapel Hill. 2011: 280 pages; 3509245.
3.
Beyond the Stroke Business Plan
by Khurshid, Zara, M.S.  California State University, Long Beach. 2017: 43 pages; 10262839.
5.
Risk Factors for Recurrent Major Depressive Disorder in a Nationally Representative Sample
by DeFeo, Graig C., M.S.P.H.  University of South Florida. 2014: 84 pages; 1569946.
7.
Electroencephalogram classification by forecasting with recurrent neural networks
by Forney, Elliott M., M.S.  Colorado State University. 2011: 79 pages; 1503664.
8.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
9.
Learning in chaotic recurrent neural networks
by Sussillo, David C., Ph.D.  Columbia University. 2009: 134 pages; 3346497.
10.
Recurrent pregnancy loss: psychological sequelae and coping
by Grathouse, Heidi Richelle, Ph.D.  Illinois Institute of Technology. 2016: 117 pages; 10133718.
11.
Dynamics and Information Processing in Recurrent Networks
by Kuczala, Alexander, Ph.D.  University of California, San Diego. 2019: 112 pages; 27541198.
12.
Recurrent voluminous sector collapses at Volcán Barú, Panama
by Herrick, Julie A., M.S.  Michigan Technological University. 2011: 79 pages; 1492090.
13.
Immunotherapy and T cell receptor analysis in recurrent type 1 diabetes
by Garland, Alaina Leigh, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 136 pages; 3509265.
14.
Variable Memory Recurrent Neural Networks for Nano Sat Launch Vehicle attitude control
by Sclafani, Rodolfo J., M.S.  California State University, Long Beach. 2014: 79 pages; 1527749.
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She's leaving home: Recurrent motifs in women's narratives
by Bower, Jody Gentian, Ph.D.  Pacifica Graduate Institute. 2013: 203 pages; 3555145.
17.
Molecular Characteristics of Primary and Recurrent Medulloblastoma: Potential Insights to Alternative Therapy
by Bagchi, Aditi, Ph.D.  Van Andel Research Institute. 2019: 164 pages; 27541039.
18.
Spacecraft Formation Control: Adaptive PID-Extended Memory Recurrent Neural Network Controller
by Gonzalez, Juan, M.S.  California State University, Long Beach. 2018: 76 pages; 10978237.
19.
Risk Factors Related to Familial Hemorrhagic Stroke
by Hanley, Holly Ann, Ph.D.  The University of North Carolina at Greensboro. 2017: 104 pages; 10690970.
20.
Assessing the Gut Microbiome Response to Fecal Microbiome Transplantation in Children with Recurrent Clostridioides difficile Infection
by Ahn, Michelle Jungsun, M.S.  The George Washington University. 2019: 152 pages; 13866068.
21.
Milliarcsecond resolution infrared observations of the recurrent nova RS Ophiuchi and low mass stellar systems
by Barry, Richard Keith, Jr., Ph.D.  The Johns Hopkins University. 2008: 275 pages; 3311834.
23.
Neither recurrent hypoglycemia nor chronic aerobic training alter the content of MCTs in the ventromedial hypothalamus
by Oberlin, Douglas J., Ph.D.  The University of North Carolina at Greensboro. 2016: 158 pages; 10154649.
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Linear and Nonlinear Models for Forecasting the Realized Volatility of Cryptocurrencies
by Mitkov, Ivan, Master's  Humboldt Universitaet zu Berlin (Germany). 2018: 73 pages; 27733357.
28.
An Exploration of Nurses' Knowledge of Right Hemisphere Stroke Associated Communication Impairments
by Brooks, Susan Kiser, Ph.D.  The University of North Carolina at Greensboro. 2017: 133 pages; 10602495.
29.
Lithium-Ion Battery SOC Estimation Using Deep Learning Neural Networks
by Wang, Rui, M.S.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 55 pages; 22624788.
30.
Probabilistic learning for analysis of sensor-based human activity data
by Hutchins, Jonathan, Ph.D.  University of California, Irvine. 2010: 245 pages; 3432162.
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