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You searched for subject:(computational modeling). Showing records 1 – 30 of 927 total matches.

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1. Fox, Neal P. Top-Down Effects on Speech Perception: An Integrated Computational and Behavioral Approach.

Degree: PhD, Cognitive Sciences, 2016, Brown University

 During auditory language comprehension, bottom-up acoustic cues in the sensory signal are critical to the recognition of spoken words. However, listeners are also sensitive to… (more)

Subjects/Keywords: computational modeling

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APA (6th Edition):

Fox, N. P. (2016). Top-Down Effects on Speech Perception: An Integrated Computational and Behavioral Approach. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674171/

Chicago Manual of Style (16th Edition):

Fox, Neal P. “Top-Down Effects on Speech Perception: An Integrated Computational and Behavioral Approach.” 2016. Doctoral Dissertation, Brown University. Accessed September 22, 2019. https://repository.library.brown.edu/studio/item/bdr:674171/.

MLA Handbook (7th Edition):

Fox, Neal P. “Top-Down Effects on Speech Perception: An Integrated Computational and Behavioral Approach.” 2016. Web. 22 Sep 2019.

Vancouver:

Fox NP. Top-Down Effects on Speech Perception: An Integrated Computational and Behavioral Approach. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2019 Sep 22]. Available from: https://repository.library.brown.edu/studio/item/bdr:674171/.

Council of Science Editors:

Fox NP. Top-Down Effects on Speech Perception: An Integrated Computational and Behavioral Approach. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674171/


Georgia Tech

2. Faraji Mosalman, Mozhdeh Sadat. From experimental observations to a functional model of the lignin pathway: Computational modeling reveals new insights.

Degree: PhD, Mechanical Engineering, 2018, Georgia Tech

 Lignin is a natural polymer that is interwoven with cellulose and hemicellulose within plant cell walls. Due to this molecular arrangement, lignin is a major… (more)

Subjects/Keywords: Lignin; Computational modeling

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APA (6th Edition):

Faraji Mosalman, M. S. (2018). From experimental observations to a functional model of the lignin pathway: Computational modeling reveals new insights. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59881

Chicago Manual of Style (16th Edition):

Faraji Mosalman, Mozhdeh Sadat. “From experimental observations to a functional model of the lignin pathway: Computational modeling reveals new insights.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/59881.

MLA Handbook (7th Edition):

Faraji Mosalman, Mozhdeh Sadat. “From experimental observations to a functional model of the lignin pathway: Computational modeling reveals new insights.” 2018. Web. 22 Sep 2019.

Vancouver:

Faraji Mosalman MS. From experimental observations to a functional model of the lignin pathway: Computational modeling reveals new insights. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/59881.

Council of Science Editors:

Faraji Mosalman MS. From experimental observations to a functional model of the lignin pathway: Computational modeling reveals new insights. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59881


Georgia Tech

3. Tallman, Aaron E. Hierarchical Multiscale Materials Modeling: Calibration, Uncertainty Quantification, and Decision Support.

Degree: PhD, Materials Science and Engineering, 2018, Georgia Tech

 Hierarchical Multiscale Materials Modeling: Calibration, Uncertainty Quantification, and Decision Support Aaron E. Tallman 222 Pages Directed by Dr. David L. McDowell Computational material models help… (more)

Subjects/Keywords: Calibration; Computational modeling

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APA (6th Edition):

Tallman, A. E. (2018). Hierarchical Multiscale Materials Modeling: Calibration, Uncertainty Quantification, and Decision Support. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61639

Chicago Manual of Style (16th Edition):

Tallman, Aaron E. “Hierarchical Multiscale Materials Modeling: Calibration, Uncertainty Quantification, and Decision Support.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/61639.

MLA Handbook (7th Edition):

Tallman, Aaron E. “Hierarchical Multiscale Materials Modeling: Calibration, Uncertainty Quantification, and Decision Support.” 2018. Web. 22 Sep 2019.

Vancouver:

Tallman AE. Hierarchical Multiscale Materials Modeling: Calibration, Uncertainty Quantification, and Decision Support. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/61639.

Council of Science Editors:

Tallman AE. Hierarchical Multiscale Materials Modeling: Calibration, Uncertainty Quantification, and Decision Support. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61639


University of Vermont

4. Stanton, Suzanne Louise. Homology Modeling and Molecular Docking of Antagonists to Class B G-Protein Coupled Receptor Pituitary Adenylate Cyclase Type 1 (PAC1R).

Degree: MS, Chemistry, 2016, University of Vermont

  Recent studies have identified the Class B g-protein coupled receptor (GPCR) pituitary adenylate cyclase activating polypeptide type 1 (PAC1R) as a key component in… (more)

Subjects/Keywords: Computational; Homology; Modeling; Chemistry

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APA (6th Edition):

Stanton, S. L. (2016). Homology Modeling and Molecular Docking of Antagonists to Class B G-Protein Coupled Receptor Pituitary Adenylate Cyclase Type 1 (PAC1R). (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stanton, Suzanne Louise. “Homology Modeling and Molecular Docking of Antagonists to Class B G-Protein Coupled Receptor Pituitary Adenylate Cyclase Type 1 (PAC1R).” 2016. Thesis, University of Vermont. Accessed September 22, 2019. https://scholarworks.uvm.edu/graddis/624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stanton, Suzanne Louise. “Homology Modeling and Molecular Docking of Antagonists to Class B G-Protein Coupled Receptor Pituitary Adenylate Cyclase Type 1 (PAC1R).” 2016. Web. 22 Sep 2019.

Vancouver:

Stanton SL. Homology Modeling and Molecular Docking of Antagonists to Class B G-Protein Coupled Receptor Pituitary Adenylate Cyclase Type 1 (PAC1R). [Internet] [Thesis]. University of Vermont; 2016. [cited 2019 Sep 22]. Available from: https://scholarworks.uvm.edu/graddis/624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stanton SL. Homology Modeling and Molecular Docking of Antagonists to Class B G-Protein Coupled Receptor Pituitary Adenylate Cyclase Type 1 (PAC1R). [Thesis]. University of Vermont; 2016. Available from: https://scholarworks.uvm.edu/graddis/624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia State University

5. Aiken, John M. Transforming High School Physics With Modeling And Computation.

Degree: MS, Physics and Astronomy, 2013, Georgia State University

  The Engage to Excel (PCAST) report, the National Research Council's Framework for K-12 Science Education, and the Next Generation Science Standards all call for… (more)

Subjects/Keywords: Computational Modeling; Physics; Education

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APA (6th Edition):

Aiken, J. M. (2013). Transforming High School Physics With Modeling And Computation. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_theses/18

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Aiken, John M. “Transforming High School Physics With Modeling And Computation.” 2013. Thesis, Georgia State University. Accessed September 22, 2019. https://scholarworks.gsu.edu/phy_astr_theses/18.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Aiken, John M. “Transforming High School Physics With Modeling And Computation.” 2013. Web. 22 Sep 2019.

Vancouver:

Aiken JM. Transforming High School Physics With Modeling And Computation. [Internet] [Thesis]. Georgia State University; 2013. [cited 2019 Sep 22]. Available from: https://scholarworks.gsu.edu/phy_astr_theses/18.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Aiken JM. Transforming High School Physics With Modeling And Computation. [Thesis]. Georgia State University; 2013. Available from: https://scholarworks.gsu.edu/phy_astr_theses/18

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

6. Husain, Taha Murtuza. Computational Modeling of Lava Domes using Particle Dynamics to investigate the effect of conduit flow mechanics on flow patterns.

Degree: PhD, Energy and Mineral Engineering, 2014, Penn State University

 Large (1 – 4 x 106 m3) to major (> 4 x 106 m3) dome collapses for andesitic lava domes such as Soufriere Hills Volcano,… (more)

Subjects/Keywords: computational modeling; lava domes

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APA (6th Edition):

Husain, T. M. (2014). Computational Modeling of Lava Domes using Particle Dynamics to investigate the effect of conduit flow mechanics on flow patterns. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/25682

Chicago Manual of Style (16th Edition):

Husain, Taha Murtuza. “Computational Modeling of Lava Domes using Particle Dynamics to investigate the effect of conduit flow mechanics on flow patterns.” 2014. Doctoral Dissertation, Penn State University. Accessed September 22, 2019. https://etda.libraries.psu.edu/catalog/25682.

MLA Handbook (7th Edition):

Husain, Taha Murtuza. “Computational Modeling of Lava Domes using Particle Dynamics to investigate the effect of conduit flow mechanics on flow patterns.” 2014. Web. 22 Sep 2019.

Vancouver:

Husain TM. Computational Modeling of Lava Domes using Particle Dynamics to investigate the effect of conduit flow mechanics on flow patterns. [Internet] [Doctoral dissertation]. Penn State University; 2014. [cited 2019 Sep 22]. Available from: https://etda.libraries.psu.edu/catalog/25682.

Council of Science Editors:

Husain TM. Computational Modeling of Lava Domes using Particle Dynamics to investigate the effect of conduit flow mechanics on flow patterns. [Doctoral Dissertation]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/25682


Virginia Tech

7. Meyer, Kevin Joseph. Improved Prediction of Glass Fiber Orientation in Basic Injection Molding Geometries.

Degree: PhD, Chemical Engineering, 2013, Virginia Tech

 This work is concerned with the prediction of short (SGF) and long glass fiber (LGF) orientation in a center-gated disk and end-gated plaque injection molding… (more)

Subjects/Keywords: Injection Molding; Composites; Computational Modeling

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APA (6th Edition):

Meyer, K. J. (2013). Improved Prediction of Glass Fiber Orientation in Basic Injection Molding Geometries. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/24762

Chicago Manual of Style (16th Edition):

Meyer, Kevin Joseph. “Improved Prediction of Glass Fiber Orientation in Basic Injection Molding Geometries.” 2013. Doctoral Dissertation, Virginia Tech. Accessed September 22, 2019. http://hdl.handle.net/10919/24762.

MLA Handbook (7th Edition):

Meyer, Kevin Joseph. “Improved Prediction of Glass Fiber Orientation in Basic Injection Molding Geometries.” 2013. Web. 22 Sep 2019.

Vancouver:

Meyer KJ. Improved Prediction of Glass Fiber Orientation in Basic Injection Molding Geometries. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/10919/24762.

Council of Science Editors:

Meyer KJ. Improved Prediction of Glass Fiber Orientation in Basic Injection Molding Geometries. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/24762


Mississippi State University

8. Taylor, Benjamin Hugh. Predictive capabilities of advanced turbulence models in the wake region of a wall mounted cube.

Degree: MS, Mechanical Engineering, 2016, Mississippi State University

 This thesis seeks to investigate the predictive capabilities of Advanced turbulence models in the wake region of a wall-mounted cube. Dynamic Hybrid RANS/LES (DHRL), Hybrid… (more)

Subjects/Keywords: computational fluid dynamics; turbulence modeling

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APA (6th Edition):

Taylor, B. H. (2016). Predictive capabilities of advanced turbulence models in the wake region of a wall mounted cube. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10282016-135510/ ;

Chicago Manual of Style (16th Edition):

Taylor, Benjamin Hugh. “Predictive capabilities of advanced turbulence models in the wake region of a wall mounted cube.” 2016. Masters Thesis, Mississippi State University. Accessed September 22, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10282016-135510/ ;.

MLA Handbook (7th Edition):

Taylor, Benjamin Hugh. “Predictive capabilities of advanced turbulence models in the wake region of a wall mounted cube.” 2016. Web. 22 Sep 2019.

Vancouver:

Taylor BH. Predictive capabilities of advanced turbulence models in the wake region of a wall mounted cube. [Internet] [Masters thesis]. Mississippi State University; 2016. [cited 2019 Sep 22]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10282016-135510/ ;.

Council of Science Editors:

Taylor BH. Predictive capabilities of advanced turbulence models in the wake region of a wall mounted cube. [Masters Thesis]. Mississippi State University; 2016. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10282016-135510/ ;


University of Notre Dame

9. Cameron Wade Harvey. Collective Movement in Myxobacteria: Modeling and Experiments with Myxococcus xanthus</h1>.

Degree: PhD, Physics, 2013, University of Notre Dame

  A remarkable example of how patterns of movement and organization in populations of bacterial cells emerge from individual level interactions is seen with Myxobacteria.… (more)

Subjects/Keywords: biophysics; myxobacteria; simulation; computational modeling

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APA (6th Edition):

Harvey, C. W. (2013). Collective Movement in Myxobacteria: Modeling and Experiments with Myxococcus xanthus</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/sx61dj55b1t

Chicago Manual of Style (16th Edition):

Harvey, Cameron Wade. “Collective Movement in Myxobacteria: Modeling and Experiments with Myxococcus xanthus</h1>.” 2013. Doctoral Dissertation, University of Notre Dame. Accessed September 22, 2019. https://curate.nd.edu/show/sx61dj55b1t.

MLA Handbook (7th Edition):

Harvey, Cameron Wade. “Collective Movement in Myxobacteria: Modeling and Experiments with Myxococcus xanthus</h1>.” 2013. Web. 22 Sep 2019.

Vancouver:

Harvey CW. Collective Movement in Myxobacteria: Modeling and Experiments with Myxococcus xanthus</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2013. [cited 2019 Sep 22]. Available from: https://curate.nd.edu/show/sx61dj55b1t.

Council of Science Editors:

Harvey CW. Collective Movement in Myxobacteria: Modeling and Experiments with Myxococcus xanthus</h1>. [Doctoral Dissertation]. University of Notre Dame; 2013. Available from: https://curate.nd.edu/show/sx61dj55b1t


University of Manitoba

10. Curtis, Evan. Reinterpreting selective impairments in memory: computational and empirical simulations of dissociations in amnesia.

Degree: Psychology, 2017, University of Manitoba

 By a dominant account, memory is composed of multiple storage systems, each operating according to unique principles. By an alternative account, memory is a single… (more)

Subjects/Keywords: Memory; Dissociation; Amnesia; Computational modeling

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APA (6th Edition):

Curtis, E. (2017). Reinterpreting selective impairments in memory: computational and empirical simulations of dissociations in amnesia. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/32111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Curtis, Evan. “Reinterpreting selective impairments in memory: computational and empirical simulations of dissociations in amnesia.” 2017. Thesis, University of Manitoba. Accessed September 22, 2019. http://hdl.handle.net/1993/32111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Curtis, Evan. “Reinterpreting selective impairments in memory: computational and empirical simulations of dissociations in amnesia.” 2017. Web. 22 Sep 2019.

Vancouver:

Curtis E. Reinterpreting selective impairments in memory: computational and empirical simulations of dissociations in amnesia. [Internet] [Thesis]. University of Manitoba; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1993/32111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Curtis E. Reinterpreting selective impairments in memory: computational and empirical simulations of dissociations in amnesia. [Thesis]. University of Manitoba; 2017. Available from: http://hdl.handle.net/1993/32111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Utah

11. DeMille, Robert Curtis. Multiple disciplinary modeling and reproduction of physical phenomena with computer simulations at high and low atomic detail.

Degree: PhD, Chemistry, 2012, University of Utah

 A theoretical study of a chemical system is focused on representing the systemproperly with a model and using it to accurately represent and predict physical… (more)

Subjects/Keywords: Computational efficiency; DNA; Modeling; Molecular Dynamics

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APA (6th Edition):

DeMille, R. C. (2012). Multiple disciplinary modeling and reproduction of physical phenomena with computer simulations at high and low atomic detail. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2028/rec/1656

Chicago Manual of Style (16th Edition):

DeMille, Robert Curtis. “Multiple disciplinary modeling and reproduction of physical phenomena with computer simulations at high and low atomic detail.” 2012. Doctoral Dissertation, University of Utah. Accessed September 22, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2028/rec/1656.

MLA Handbook (7th Edition):

DeMille, Robert Curtis. “Multiple disciplinary modeling and reproduction of physical phenomena with computer simulations at high and low atomic detail.” 2012. Web. 22 Sep 2019.

Vancouver:

DeMille RC. Multiple disciplinary modeling and reproduction of physical phenomena with computer simulations at high and low atomic detail. [Internet] [Doctoral dissertation]. University of Utah; 2012. [cited 2019 Sep 22]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2028/rec/1656.

Council of Science Editors:

DeMille RC. Multiple disciplinary modeling and reproduction of physical phenomena with computer simulations at high and low atomic detail. [Doctoral Dissertation]. University of Utah; 2012. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2028/rec/1656


Texas A&M University

12. Martin, Michael. Modeling of Transport in Lithium Ion Battery Electrodes.

Degree: 2012, Texas A&M University

 Lithium ion battery systems are promising solutions to current energy storage needs due to their high operating voltage and capacity. Numerous efforts have been conducted… (more)

Subjects/Keywords: Lithium Ion Battery; 3D Electrode; Computational Modeling

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APA (6th Edition):

Martin, M. (2012). Modeling of Transport in Lithium Ion Battery Electrodes. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11178

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Martin, Michael. “Modeling of Transport in Lithium Ion Battery Electrodes.” 2012. Thesis, Texas A&M University. Accessed September 22, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11178.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Martin, Michael. “Modeling of Transport in Lithium Ion Battery Electrodes.” 2012. Web. 22 Sep 2019.

Vancouver:

Martin M. Modeling of Transport in Lithium Ion Battery Electrodes. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11178.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Martin M. Modeling of Transport in Lithium Ion Battery Electrodes. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11178

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

13. Knight, Jason Matthew. Optimal Model-Based Approaches for Predictive Inference in Biology.

Degree: 2015, Texas A&M University

 Predictive modeling of the dynamic, multivariate, non-linear, stochastic systems of biology is a difficult enterprise. High throughput measurement techniques are enabling new approaches to computational(more)

Subjects/Keywords: computational biology; predictive inference; statistical modeling; bioinformatics

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APA (6th Edition):

Knight, J. M. (2015). Optimal Model-Based Approaches for Predictive Inference in Biology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155131

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Thesis, Texas A&M University. Accessed September 22, 2019. http://hdl.handle.net/1969.1/155131.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Web. 22 Sep 2019.

Vancouver:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1969.1/155131.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155131

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

14. Warren, Mariah. Modeling Allophonic Rule Learning with Distributional and Phonetic Factors.

Degree: 2012, University of Edinburgh

 A fundamental task faced by infants during language acquisition is acquiring the phonological structure of the native language, including the abstract phonemic categories and the… (more)

Subjects/Keywords: Allophone; Phonological Rules; Statistical Learning; Computational Modeling

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APA (6th Edition):

Warren, M. (2012). Modeling Allophonic Rule Learning with Distributional and Phonetic Factors. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8496

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Warren, Mariah. “Modeling Allophonic Rule Learning with Distributional and Phonetic Factors.” 2012. Thesis, University of Edinburgh. Accessed September 22, 2019. http://hdl.handle.net/1842/8496.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Warren, Mariah. “Modeling Allophonic Rule Learning with Distributional and Phonetic Factors.” 2012. Web. 22 Sep 2019.

Vancouver:

Warren M. Modeling Allophonic Rule Learning with Distributional and Phonetic Factors. [Internet] [Thesis]. University of Edinburgh; 2012. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1842/8496.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Warren M. Modeling Allophonic Rule Learning with Distributional and Phonetic Factors. [Thesis]. University of Edinburgh; 2012. Available from: http://hdl.handle.net/1842/8496

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Jawaharlal Nehru University

15. Patil, Kiran Suresh. Computational modeling and simulation of Neuronal dynamics : effects of Stochastic Perturbations; -.

Degree: Computer Science, 2007, Jawaharlal Nehru University

none

References, Tables, Figures vip. 118p.

Advisors/Committee Members: Karmeshu.

Subjects/Keywords: Neurons; computational; modeling

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APA (6th Edition):

Patil, K. S. (2007). Computational modeling and simulation of Neuronal dynamics : effects of Stochastic Perturbations; -. (Thesis). Jawaharlal Nehru University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/32306

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Patil, Kiran Suresh. “Computational modeling and simulation of Neuronal dynamics : effects of Stochastic Perturbations; -.” 2007. Thesis, Jawaharlal Nehru University. Accessed September 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/32306.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Patil, Kiran Suresh. “Computational modeling and simulation of Neuronal dynamics : effects of Stochastic Perturbations; -.” 2007. Web. 22 Sep 2019.

Vancouver:

Patil KS. Computational modeling and simulation of Neuronal dynamics : effects of Stochastic Perturbations; -. [Internet] [Thesis]. Jawaharlal Nehru University; 2007. [cited 2019 Sep 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/32306.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patil KS. Computational modeling and simulation of Neuronal dynamics : effects of Stochastic Perturbations; -. [Thesis]. Jawaharlal Nehru University; 2007. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/32306

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Vedula, Vijay. Image based computational modeling of intracardiac flows.

Degree: 2015, Johns Hopkins University

 With continuous advancements in four-dimensional medical imaging technologies, increasing computational speeds, and widespread availability of high performance computing facilities, computational modeling of intracardiac flows is… (more)

Subjects/Keywords: Cardiac hemodynamics; computational modeling; immersed boundary methods

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APA (6th Edition):

Vedula, V. (2015). Image based computational modeling of intracardiac flows. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/37858

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vedula, Vijay. “Image based computational modeling of intracardiac flows.” 2015. Thesis, Johns Hopkins University. Accessed September 22, 2019. http://jhir.library.jhu.edu/handle/1774.2/37858.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vedula, Vijay. “Image based computational modeling of intracardiac flows.” 2015. Web. 22 Sep 2019.

Vancouver:

Vedula V. Image based computational modeling of intracardiac flows. [Internet] [Thesis]. Johns Hopkins University; 2015. [cited 2019 Sep 22]. Available from: http://jhir.library.jhu.edu/handle/1774.2/37858.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vedula V. Image based computational modeling of intracardiac flows. [Thesis]. Johns Hopkins University; 2015. Available from: http://jhir.library.jhu.edu/handle/1774.2/37858

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Carnegie Mellon University

17. MacLellan, Christopher J. Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing.

Degree: 2017, Carnegie Mellon University

 Intelligent tutoring systems are effective for improving students’ learning outcomes (Bowen et al., 2013; Koedinger & Anderson, 1997; Pane et al., 2013). However, constructing tutoring… (more)

Subjects/Keywords: Computational Modeling; Science of Learning; Educational Technology

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APA (6th Edition):

MacLellan, C. J. (2017). Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1054

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

MacLellan, Christopher J. “Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing.” 2017. Thesis, Carnegie Mellon University. Accessed September 22, 2019. http://repository.cmu.edu/dissertations/1054.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

MacLellan, Christopher J. “Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing.” 2017. Web. 22 Sep 2019.

Vancouver:

MacLellan CJ. Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2019 Sep 22]. Available from: http://repository.cmu.edu/dissertations/1054.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

MacLellan CJ. Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/1054

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Southern California

18. Ivzan, Nadav. A probabilistic model predicting retinal ganglion cell responses to natural stimuli.

Degree: PhD, Biomedical Engineering, 2015, University of Southern California

 Developing computational models that predict the spiking responses of neurons is important to understand how the brain functions, and cure neuronal diseases. In the first… (more)

Subjects/Keywords: retina; electophysiology; natural images; vision; computational modeling

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APA (6th Edition):

Ivzan, N. (2015). A probabilistic model predicting retinal ganglion cell responses to natural stimuli. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548002/rec/309

Chicago Manual of Style (16th Edition):

Ivzan, Nadav. “A probabilistic model predicting retinal ganglion cell responses to natural stimuli.” 2015. Doctoral Dissertation, University of Southern California. Accessed September 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548002/rec/309.

MLA Handbook (7th Edition):

Ivzan, Nadav. “A probabilistic model predicting retinal ganglion cell responses to natural stimuli.” 2015. Web. 22 Sep 2019.

Vancouver:

Ivzan N. A probabilistic model predicting retinal ganglion cell responses to natural stimuli. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Sep 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548002/rec/309.

Council of Science Editors:

Ivzan N. A probabilistic model predicting retinal ganglion cell responses to natural stimuli. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548002/rec/309


Montana State University

19. Sturlaugson, Liessman Eric. Extensions to modeling and inference in continuous time Bayesian networks.

Degree: College of Engineering, 2014, Montana State University

 The continuous time Bayesian network (CTBN) enables reasoning about complex systems in continuous time by representing a system as a factored, finite-state, continuous-time Markov process.… (more)

Subjects/Keywords: Markov processes.; Computational complexity.; Graphical modeling (Statistics).

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APA (6th Edition):

Sturlaugson, L. E. (2014). Extensions to modeling and inference in continuous time Bayesian networks. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/9368

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sturlaugson, Liessman Eric. “Extensions to modeling and inference in continuous time Bayesian networks.” 2014. Thesis, Montana State University. Accessed September 22, 2019. https://scholarworks.montana.edu/xmlui/handle/1/9368.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sturlaugson, Liessman Eric. “Extensions to modeling and inference in continuous time Bayesian networks.” 2014. Web. 22 Sep 2019.

Vancouver:

Sturlaugson LE. Extensions to modeling and inference in continuous time Bayesian networks. [Internet] [Thesis]. Montana State University; 2014. [cited 2019 Sep 22]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9368.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sturlaugson LE. Extensions to modeling and inference in continuous time Bayesian networks. [Thesis]. Montana State University; 2014. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9368

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Ottawa

20. Kuebler, Eric Stephen. Harnessing the Variability of Neuronal Activity: From Single Neurons to Networks .

Degree: 2018, University of Ottawa

 Neurons and networks of the brain may use various strategies of computation to provide the neural substrate for sensation, perception, or cognition. To simplify the… (more)

Subjects/Keywords: Neuronal variability; Computational modeling; Synchrony; Neural networks

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APA (6th Edition):

Kuebler, E. S. (2018). Harnessing the Variability of Neuronal Activity: From Single Neurons to Networks . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/37855

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kuebler, Eric Stephen. “Harnessing the Variability of Neuronal Activity: From Single Neurons to Networks .” 2018. Thesis, University of Ottawa. Accessed September 22, 2019. http://hdl.handle.net/10393/37855.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kuebler, Eric Stephen. “Harnessing the Variability of Neuronal Activity: From Single Neurons to Networks .” 2018. Web. 22 Sep 2019.

Vancouver:

Kuebler ES. Harnessing the Variability of Neuronal Activity: From Single Neurons to Networks . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/10393/37855.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kuebler ES. Harnessing the Variability of Neuronal Activity: From Single Neurons to Networks . [Thesis]. University of Ottawa; 2018. Available from: http://hdl.handle.net/10393/37855

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

21. Carbo Barrios, Adria. Transdisciplinary Strategies to Study the Mechanisms of CD4+ T cell Differentiation and Heterogeneity.

Degree: PhD, Animal and Poultry Sciences, 2014, Virginia Tech

 CD4+ T cells mediate and orchestrate a tremendous panoply of lymphoid cell subsets in the human immune system. CD4+ T cells are able to differentiate… (more)

Subjects/Keywords: Immunology; CD4+ T cells; computational modeling

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APA (6th Edition):

Carbo Barrios, A. (2014). Transdisciplinary Strategies to Study the Mechanisms of CD4+ T cell Differentiation and Heterogeneity. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64833

Chicago Manual of Style (16th Edition):

Carbo Barrios, Adria. “Transdisciplinary Strategies to Study the Mechanisms of CD4+ T cell Differentiation and Heterogeneity.” 2014. Doctoral Dissertation, Virginia Tech. Accessed September 22, 2019. http://hdl.handle.net/10919/64833.

MLA Handbook (7th Edition):

Carbo Barrios, Adria. “Transdisciplinary Strategies to Study the Mechanisms of CD4+ T cell Differentiation and Heterogeneity.” 2014. Web. 22 Sep 2019.

Vancouver:

Carbo Barrios A. Transdisciplinary Strategies to Study the Mechanisms of CD4+ T cell Differentiation and Heterogeneity. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/10919/64833.

Council of Science Editors:

Carbo Barrios A. Transdisciplinary Strategies to Study the Mechanisms of CD4+ T cell Differentiation and Heterogeneity. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64833


Clemson University

22. Harvey, Tyler George. Computational Approaches to Understanding Structure-Function Relationships at the Intersection of Cellular Organization, Mechanics, and Electrophysiology.

Degree: PhD, Bioengineering, 2018, Clemson University

 The heart is a complex mechanical and electrical environment and small changes at the cellular and subcellular scale can have profound impacts at the tissue,… (more)

Subjects/Keywords: Cardiac mechanics; Computational modeling; Engineering education

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APA (6th Edition):

Harvey, T. G. (2018). Computational Approaches to Understanding Structure-Function Relationships at the Intersection of Cellular Organization, Mechanics, and Electrophysiology. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2249

Chicago Manual of Style (16th Edition):

Harvey, Tyler George. “Computational Approaches to Understanding Structure-Function Relationships at the Intersection of Cellular Organization, Mechanics, and Electrophysiology.” 2018. Doctoral Dissertation, Clemson University. Accessed September 22, 2019. https://tigerprints.clemson.edu/all_dissertations/2249.

MLA Handbook (7th Edition):

Harvey, Tyler George. “Computational Approaches to Understanding Structure-Function Relationships at the Intersection of Cellular Organization, Mechanics, and Electrophysiology.” 2018. Web. 22 Sep 2019.

Vancouver:

Harvey TG. Computational Approaches to Understanding Structure-Function Relationships at the Intersection of Cellular Organization, Mechanics, and Electrophysiology. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2019 Sep 22]. Available from: https://tigerprints.clemson.edu/all_dissertations/2249.

Council of Science Editors:

Harvey TG. Computational Approaches to Understanding Structure-Function Relationships at the Intersection of Cellular Organization, Mechanics, and Electrophysiology. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2249


Cornell University

23. Boston, Marisa. A Computational Model Of Cognitive Constraints In Syntactic Locality .

Degree: 2012, Cornell University

 This dissertation is broadly concerned with the question: how do human cognitive limitations influence difficult sentences? The focus is a class of grammatical restrictions, locality… (more)

Subjects/Keywords: Computational modeling; Syntactic locality; Cognitive constraints

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APA (6th Edition):

Boston, M. (2012). A Computational Model Of Cognitive Constraints In Syntactic Locality . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/29156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Boston, Marisa. “A Computational Model Of Cognitive Constraints In Syntactic Locality .” 2012. Thesis, Cornell University. Accessed September 22, 2019. http://hdl.handle.net/1813/29156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Boston, Marisa. “A Computational Model Of Cognitive Constraints In Syntactic Locality .” 2012. Web. 22 Sep 2019.

Vancouver:

Boston M. A Computational Model Of Cognitive Constraints In Syntactic Locality . [Internet] [Thesis]. Cornell University; 2012. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1813/29156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boston M. A Computational Model Of Cognitive Constraints In Syntactic Locality . [Thesis]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/29156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

24. Chylek, Lily. Understanding Ige Receptor Signaling Through Computational Modeling And Quantitative Experiments .

Degree: 2016, Cornell University

 Fc[epsilon]RI is a multi-subunit receptor found on the surface of mast cells and basophils and binds immunoglobulin E (IgE) with high affinity. Stimulation of this… (more)

Subjects/Keywords: mast cells; computational modeling; cell signaling

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APA (6th Edition):

Chylek, L. (2016). Understanding Ige Receptor Signaling Through Computational Modeling And Quantitative Experiments . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/44334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chylek, Lily. “Understanding Ige Receptor Signaling Through Computational Modeling And Quantitative Experiments .” 2016. Thesis, Cornell University. Accessed September 22, 2019. http://hdl.handle.net/1813/44334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chylek, Lily. “Understanding Ige Receptor Signaling Through Computational Modeling And Quantitative Experiments .” 2016. Web. 22 Sep 2019.

Vancouver:

Chylek L. Understanding Ige Receptor Signaling Through Computational Modeling And Quantitative Experiments . [Internet] [Thesis]. Cornell University; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1813/44334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chylek L. Understanding Ige Receptor Signaling Through Computational Modeling And Quantitative Experiments . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/44334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Uppsala University

25. Holmgren, Hanna. Computational Ice Dynamics and Hydraulics : Towards a Coupling in the Ice Sheet Code ARCTIC-TARAH.

Degree: Information Technology, 2012, Uppsala University

  Numerical ice sheet modeling is a rather young discipline: it started in the 1950s. The "first generation" models developed at that time are currently… (more)

Subjects/Keywords: ice dynamics; ice sheet modeling; computational hydraulics

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APA (6th Edition):

Holmgren, H. (2012). Computational Ice Dynamics and Hydraulics : Towards a Coupling in the Ice Sheet Code ARCTIC-TARAH. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-179861

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Holmgren, Hanna. “Computational Ice Dynamics and Hydraulics : Towards a Coupling in the Ice Sheet Code ARCTIC-TARAH.” 2012. Thesis, Uppsala University. Accessed September 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-179861.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Holmgren, Hanna. “Computational Ice Dynamics and Hydraulics : Towards a Coupling in the Ice Sheet Code ARCTIC-TARAH.” 2012. Web. 22 Sep 2019.

Vancouver:

Holmgren H. Computational Ice Dynamics and Hydraulics : Towards a Coupling in the Ice Sheet Code ARCTIC-TARAH. [Internet] [Thesis]. Uppsala University; 2012. [cited 2019 Sep 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-179861.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Holmgren H. Computational Ice Dynamics and Hydraulics : Towards a Coupling in the Ice Sheet Code ARCTIC-TARAH. [Thesis]. Uppsala University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-179861

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

26. Kragel, James Edward. The functional neuroanatomy of episodic retrieval: using neuroimaging to understand the computational processes underlying human memory.

Degree: PhD, Neuroscience, 2015, Vanderbilt University

 The medial temporal lobe (MTL) is essential to episodic memory through its role in the reactivation of past experience. Cortical networks provide top-down influence on… (more)

Subjects/Keywords: computational modeling; fMRI; free recall; episodic memory

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APA (6th Edition):

Kragel, J. E. (2015). The functional neuroanatomy of episodic retrieval: using neuroimaging to understand the computational processes underlying human memory. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-05202015-151428/ ;

Chicago Manual of Style (16th Edition):

Kragel, James Edward. “The functional neuroanatomy of episodic retrieval: using neuroimaging to understand the computational processes underlying human memory.” 2015. Doctoral Dissertation, Vanderbilt University. Accessed September 22, 2019. http://etd.library.vanderbilt.edu//available/etd-05202015-151428/ ;.

MLA Handbook (7th Edition):

Kragel, James Edward. “The functional neuroanatomy of episodic retrieval: using neuroimaging to understand the computational processes underlying human memory.” 2015. Web. 22 Sep 2019.

Vancouver:

Kragel JE. The functional neuroanatomy of episodic retrieval: using neuroimaging to understand the computational processes underlying human memory. [Internet] [Doctoral dissertation]. Vanderbilt University; 2015. [cited 2019 Sep 22]. Available from: http://etd.library.vanderbilt.edu//available/etd-05202015-151428/ ;.

Council of Science Editors:

Kragel JE. The functional neuroanatomy of episodic retrieval: using neuroimaging to understand the computational processes underlying human memory. [Doctoral Dissertation]. Vanderbilt University; 2015. Available from: http://etd.library.vanderbilt.edu//available/etd-05202015-151428/ ;


University of Minnesota

27. Hunt, Sarah. Understanding the Glomerular Mesangium through computational modeling.

Degree: PhD, Biomedical Engineering, 2017, University of Minnesota

 The mesangium plays a prominent role in maintaining glomerular homeostasis by contributing to hemodynamic regulation, macromolecule clearance, and immune monitoring. However, it is also intimately… (more)

Subjects/Keywords: computational modeling; counter-current; glomerulus; mesangium

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APA (6th Edition):

Hunt, S. (2017). Understanding the Glomerular Mesangium through computational modeling. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/190556

Chicago Manual of Style (16th Edition):

Hunt, Sarah. “Understanding the Glomerular Mesangium through computational modeling.” 2017. Doctoral Dissertation, University of Minnesota. Accessed September 22, 2019. http://hdl.handle.net/11299/190556.

MLA Handbook (7th Edition):

Hunt, Sarah. “Understanding the Glomerular Mesangium through computational modeling.” 2017. Web. 22 Sep 2019.

Vancouver:

Hunt S. Understanding the Glomerular Mesangium through computational modeling. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/11299/190556.

Council of Science Editors:

Hunt S. Understanding the Glomerular Mesangium through computational modeling. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/190556


University of Illinois – Urbana-Champaign

28. Kunal, Kumar. Computational modeling of intrinsic dissipation in nano-structure.

Degree: PhD, Theoretical & Applied Mechans, 2016, University of Illinois – Urbana-Champaign

 In this work, using computational modeling, we study the different mechanisms of intrinsic dissipation in nano-electro mechanical systems (NEMS). We, first, use molecular dynamics (MD)… (more)

Subjects/Keywords: Dissipation; Computational Modeling; Molecular Dynamics; Multi-Scale

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APA (6th Edition):

Kunal, K. (2016). Computational modeling of intrinsic dissipation in nano-structure. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90707

Chicago Manual of Style (16th Edition):

Kunal, Kumar. “Computational modeling of intrinsic dissipation in nano-structure.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed September 22, 2019. http://hdl.handle.net/2142/90707.

MLA Handbook (7th Edition):

Kunal, Kumar. “Computational modeling of intrinsic dissipation in nano-structure.” 2016. Web. 22 Sep 2019.

Vancouver:

Kunal K. Computational modeling of intrinsic dissipation in nano-structure. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/2142/90707.

Council of Science Editors:

Kunal K. Computational modeling of intrinsic dissipation in nano-structure. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90707


University of Missouri – Columbia

29. Pendyam, Sandeep. Computational models of neuronal fear and addiction circuits.

Degree: 2011, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Computational Neuroscience provides tools to abstract and generalize principles of neuronal functions using mathematics, with… (more)

Subjects/Keywords: neuronal functions; subcircuits; computational modeling; anxiety disorder

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APA (6th Edition):

Pendyam, S. (2011). Computational models of neuronal fear and addiction circuits. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/14516

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pendyam, Sandeep. “Computational models of neuronal fear and addiction circuits.” 2011. Thesis, University of Missouri – Columbia. Accessed September 22, 2019. http://hdl.handle.net/10355/14516.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pendyam, Sandeep. “Computational models of neuronal fear and addiction circuits.” 2011. Web. 22 Sep 2019.

Vancouver:

Pendyam S. Computational models of neuronal fear and addiction circuits. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/10355/14516.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pendyam S. Computational models of neuronal fear and addiction circuits. [Thesis]. University of Missouri – Columbia; 2011. Available from: http://hdl.handle.net/10355/14516

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rice University

30. Huang, Bin. Decoding biological gene regulatory networks by quantitative modeling.

Degree: PhD, Natural Sciences, 2017, Rice University

 Gene regulatory network is essential to regulate the biological functions of cells. With the rapid development of “omics” technologies, the network can be inferred for… (more)

Subjects/Keywords: Computational biology; System biology; Gene network; Modeling

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APA (6th Edition):

Huang, B. (2017). Decoding biological gene regulatory networks by quantitative modeling. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/96072

Chicago Manual of Style (16th Edition):

Huang, Bin. “Decoding biological gene regulatory networks by quantitative modeling.” 2017. Doctoral Dissertation, Rice University. Accessed September 22, 2019. http://hdl.handle.net/1911/96072.

MLA Handbook (7th Edition):

Huang, Bin. “Decoding biological gene regulatory networks by quantitative modeling.” 2017. Web. 22 Sep 2019.

Vancouver:

Huang B. Decoding biological gene regulatory networks by quantitative modeling. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1911/96072.

Council of Science Editors:

Huang B. Decoding biological gene regulatory networks by quantitative modeling. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/96072

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