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You searched for subject:(Computational modeling). Showing records 1 – 30 of 1078 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 December 01, 2020. 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. 01 Dec 2020.

Vancouver:

Fox NP. Top-Down Effects on Speech Perception: An Integrated Computational and Behavioral Approach. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2020 Dec 01]. 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/


Wake Forest University

2. Decker, William. Modular Use of Human Body Models of Various Complexities in the Head and Thoraco-Abdominal Regions.

Degree: 2018, Wake Forest University

 The field of injury biomechanics is constantly evolving, and with it, the tools available for researchers. Computational modeling is one of these tools, specifically finite… (more)

Subjects/Keywords: computational modeling

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APA (6th Edition):

Decker, W. (2018). Modular Use of Human Body Models of Various Complexities in the Head and Thoraco-Abdominal Regions. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/90702

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):

Decker, William. “Modular Use of Human Body Models of Various Complexities in the Head and Thoraco-Abdominal Regions.” 2018. Thesis, Wake Forest University. Accessed December 01, 2020. http://hdl.handle.net/10339/90702.

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

MLA Handbook (7th Edition):

Decker, William. “Modular Use of Human Body Models of Various Complexities in the Head and Thoraco-Abdominal Regions.” 2018. Web. 01 Dec 2020.

Vancouver:

Decker W. Modular Use of Human Body Models of Various Complexities in the Head and Thoraco-Abdominal Regions. [Internet] [Thesis]. Wake Forest University; 2018. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/10339/90702.

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

Council of Science Editors:

Decker W. Modular Use of Human Body Models of Various Complexities in the Head and Thoraco-Abdominal Regions. [Thesis]. Wake Forest University; 2018. Available from: http://hdl.handle.net/10339/90702

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


Georgia Tech

3. 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 December 01, 2020. 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. 01 Dec 2020.

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 2020 Dec 01]. 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


University of Texas – Austin

4. -8909-3631. Multi-physics computational modeling of electromagnetic acceleration devices.

Degree: PhD, Aerospace Engineering, 2018, University of Texas – Austin

 A multi-physics computational framework is developed to simulate dense, high-ionization fraction plasmas in electromagnetic acceleration devices. The primary motivation for this research is the simulation… (more)

Subjects/Keywords: Multiphysics; Computational modeling

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APA (6th Edition):

-8909-3631. (2018). Multi-physics computational modeling of electromagnetic acceleration devices. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/71466

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-8909-3631. “Multi-physics computational modeling of electromagnetic acceleration devices.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed December 01, 2020. http://hdl.handle.net/2152/71466.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-8909-3631. “Multi-physics computational modeling of electromagnetic acceleration devices.” 2018. Web. 01 Dec 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8909-3631. Multi-physics computational modeling of electromagnetic acceleration devices. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/2152/71466.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-8909-3631. Multi-physics computational modeling of electromagnetic acceleration devices. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/71466

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Mississippi State University

5. 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 December 01, 2020. 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. 01 Dec 2020.

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 2020 Dec 01]. 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/ ;


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: 2015, 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. (2015). Computational Modeling of Lava Domes using Particle Dynamics to investigate the effect of conduit flow mechanics on flow patterns. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25682

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):

Husain, Taha Murtuza. “Computational Modeling of Lava Domes using Particle Dynamics to investigate the effect of conduit flow mechanics on flow patterns.” 2015. Thesis, Penn State University. Accessed December 01, 2020. https://submit-etda.libraries.psu.edu/catalog/25682.

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

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.” 2015. Web. 01 Dec 2020.

Vancouver:

Husain TM. Computational Modeling of Lava Domes using Particle Dynamics to investigate the effect of conduit flow mechanics on flow patterns. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Dec 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/25682.

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

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. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25682

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


University of Vermont

7. 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 December 01, 2020. 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. 01 Dec 2020.

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 2020 Dec 01]. 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


University of Manitoba

8. 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 December 01, 2020. 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. 01 Dec 2020.

Vancouver:

Curtis E. Reinterpreting selective impairments in memory: computational and empirical simulations of dissociations in amnesia. [Internet] [Thesis]. University of Manitoba; 2017. [cited 2020 Dec 01]. 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 Notre Dame

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

Degree: 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>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/sx61dj55b1t

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):

Harvey, Cameron Wade. “Collective Movement in Myxobacteria: Modeling and Experiments with Myxococcus xanthus</h1>.” 2013. Thesis, University of Notre Dame. Accessed December 01, 2020. https://curate.nd.edu/show/sx61dj55b1t.

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

MLA Handbook (7th Edition):

Harvey, Cameron Wade. “Collective Movement in Myxobacteria: Modeling and Experiments with Myxococcus xanthus</h1>.” 2013. Web. 01 Dec 2020.

Vancouver:

Harvey CW. Collective Movement in Myxobacteria: Modeling and Experiments with Myxococcus xanthus</h1>. [Internet] [Thesis]. University of Notre Dame; 2013. [cited 2020 Dec 01]. Available from: https://curate.nd.edu/show/sx61dj55b1t.

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

Council of Science Editors:

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

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


Georgia State University

10. 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 December 01, 2020. 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. 01 Dec 2020.

Vancouver:

Aiken JM. Transforming High School Physics With Modeling And Computation. [Internet] [Thesis]. Georgia State University; 2013. [cited 2020 Dec 01]. 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


Virginia Tech

11. 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 December 01, 2020. 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. 01 Dec 2020.

Vancouver:

Meyer KJ. Improved Prediction of Glass Fiber Orientation in Basic Injection Molding Geometries. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2020 Dec 01]. 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


University of Texas – Austin

12. Lee, Yongjin. First principles-based molecular modeling of thermal transport in silicon-based nanomaterials.

Degree: PhD, Chemical Engineering, 2014, University of Texas – Austin

 In today’s nanotechnology, a critical issue is to gain the ability to control the structure and function of matter with a deeper understanding of the… (more)

Subjects/Keywords: Heat transport; Computational modeling; Nanomaterials

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APA (6th Edition):

Lee, Y. (2014). First principles-based molecular modeling of thermal transport in silicon-based nanomaterials. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/69263

Chicago Manual of Style (16th Edition):

Lee, Yongjin. “First principles-based molecular modeling of thermal transport in silicon-based nanomaterials.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed December 01, 2020. http://hdl.handle.net/2152/69263.

MLA Handbook (7th Edition):

Lee, Yongjin. “First principles-based molecular modeling of thermal transport in silicon-based nanomaterials.” 2014. Web. 01 Dec 2020.

Vancouver:

Lee Y. First principles-based molecular modeling of thermal transport in silicon-based nanomaterials. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/2152/69263.

Council of Science Editors:

Lee Y. First principles-based molecular modeling of thermal transport in silicon-based nanomaterials. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/69263

13. Noetscher, Gregory Michael. The VHP-F Computational Phantom and its Applications for Electromagnetic Simulations.

Degree: PhD, 2014, Worcester Polytechnic Institute

Modeling of the electromagnetic, structural, thermal, or acoustic response of the human body to various external and internal stimuli is limited by the availability of… (more)

Subjects/Keywords: Computational electromagnetics; Numerical modeling; Human body modeling

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APA (6th Edition):

Noetscher, G. M. (2014). The VHP-F Computational Phantom and its Applications for Electromagnetic Simulations. (Doctoral Dissertation). Worcester Polytechnic Institute. Retrieved from etd-043014-110503 ; https://digitalcommons.wpi.edu/etd-dissertations/237

Chicago Manual of Style (16th Edition):

Noetscher, Gregory Michael. “The VHP-F Computational Phantom and its Applications for Electromagnetic Simulations.” 2014. Doctoral Dissertation, Worcester Polytechnic Institute. Accessed December 01, 2020. etd-043014-110503 ; https://digitalcommons.wpi.edu/etd-dissertations/237.

MLA Handbook (7th Edition):

Noetscher, Gregory Michael. “The VHP-F Computational Phantom and its Applications for Electromagnetic Simulations.” 2014. Web. 01 Dec 2020.

Vancouver:

Noetscher GM. The VHP-F Computational Phantom and its Applications for Electromagnetic Simulations. [Internet] [Doctoral dissertation]. Worcester Polytechnic Institute; 2014. [cited 2020 Dec 01]. Available from: etd-043014-110503 ; https://digitalcommons.wpi.edu/etd-dissertations/237.

Council of Science Editors:

Noetscher GM. The VHP-F Computational Phantom and its Applications for Electromagnetic Simulations. [Doctoral Dissertation]. Worcester Polytechnic Institute; 2014. Available from: etd-043014-110503 ; https://digitalcommons.wpi.edu/etd-dissertations/237


University of Utah

14. 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 December 01, 2020. 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. 01 Dec 2020.

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 2020 Dec 01]. 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


Carnegie Mellon University

15. 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 December 01, 2020. 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. 01 Dec 2020.

Vancouver:

MacLellan CJ. Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Dec 01]. 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

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 December 01, 2020. 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. 01 Dec 2020.

Vancouver:

Vedula V. Image based computational modeling of intracardiac flows. [Internet] [Thesis]. Johns Hopkins University; 2015. [cited 2020 Dec 01]. 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


Cornell University

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

Degree: PhD, Linguistics, 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. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/29156

Chicago Manual of Style (16th Edition):

Boston, Marisa. “A Computational Model Of Cognitive Constraints In Syntactic Locality.” 2012. Doctoral Dissertation, Cornell University. Accessed December 01, 2020. http://hdl.handle.net/1813/29156.

MLA Handbook (7th Edition):

Boston, Marisa. “A Computational Model Of Cognitive Constraints In Syntactic Locality.” 2012. Web. 01 Dec 2020.

Vancouver:

Boston M. A Computational Model Of Cognitive Constraints In Syntactic Locality. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1813/29156.

Council of Science Editors:

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


Vanderbilt University

18. 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://hdl.handle.net/1803/12347

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 December 01, 2020. http://hdl.handle.net/1803/12347.

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. 01 Dec 2020.

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 2020 Dec 01]. Available from: http://hdl.handle.net/1803/12347.

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://hdl.handle.net/1803/12347


Vanderbilt University

19. Lemmon, Gordon Howard. Development of methods for docking and designing small molecules within the Rosetta code framework.

Degree: PhD, Chemical and Physical Biology, 2012, Vanderbilt University

 Structure-based drug design is a key challenge for pharmaceutical chemists. By studying the structure of proteins bound to natural substrates, researchers can design small molecules… (more)

Subjects/Keywords: macromolecular modeling; computational biology; strutural biology

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APA (6th Edition):

Lemmon, G. H. (2012). Development of methods for docking and designing small molecules within the Rosetta code framework. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14316

Chicago Manual of Style (16th Edition):

Lemmon, Gordon Howard. “Development of methods for docking and designing small molecules within the Rosetta code framework.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed December 01, 2020. http://hdl.handle.net/1803/14316.

MLA Handbook (7th Edition):

Lemmon, Gordon Howard. “Development of methods for docking and designing small molecules within the Rosetta code framework.” 2012. Web. 01 Dec 2020.

Vancouver:

Lemmon GH. Development of methods for docking and designing small molecules within the Rosetta code framework. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1803/14316.

Council of Science Editors:

Lemmon GH. Development of methods for docking and designing small molecules within the Rosetta code framework. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/14316


Vanderbilt University

20. McKenna, Matthew Thomas. Development and Validation of a Predictive Model of Chemotherapy in Triple Negative Breast Cancer.

Degree: PhD, Biomedical Engineering, 2017, Vanderbilt University

 Precision medicine is the concept of incorporating patient-specific variability into prevention and treatment strategies. Precision medicine initiatives in oncology have primarily focused on the use… (more)

Subjects/Keywords: doxorubicin; pharmacology; mathematical modeling; computational oncology

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APA (6th Edition):

McKenna, M. T. (2017). Development and Validation of a Predictive Model of Chemotherapy in Triple Negative Breast Cancer. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14399

Chicago Manual of Style (16th Edition):

McKenna, Matthew Thomas. “Development and Validation of a Predictive Model of Chemotherapy in Triple Negative Breast Cancer.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed December 01, 2020. http://hdl.handle.net/1803/14399.

MLA Handbook (7th Edition):

McKenna, Matthew Thomas. “Development and Validation of a Predictive Model of Chemotherapy in Triple Negative Breast Cancer.” 2017. Web. 01 Dec 2020.

Vancouver:

McKenna MT. Development and Validation of a Predictive Model of Chemotherapy in Triple Negative Breast Cancer. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1803/14399.

Council of Science Editors:

McKenna MT. Development and Validation of a Predictive Model of Chemotherapy in Triple Negative Breast Cancer. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/14399


University of Edinburgh

21. 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 December 01, 2020. 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. 01 Dec 2020.

Vancouver:

Warren M. Modeling Allophonic Rule Learning with Distributional and Phonetic Factors. [Internet] [Thesis]. University of Edinburgh; 2012. [cited 2020 Dec 01]. 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

22. 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 December 01, 2020. 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. 01 Dec 2020.

Vancouver:

Patil KS. Computational modeling and simulation of Neuronal dynamics : effects of Stochastic Perturbations; -. [Internet] [Thesis]. Jawaharlal Nehru University; 2007. [cited 2020 Dec 01]. 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


Texas A&M University

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

Degree: PhD, Electrical Engineering, 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. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155131

Chicago Manual of Style (16th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Doctoral Dissertation, Texas A&M University. Accessed December 01, 2020. http://hdl.handle.net/1969.1/155131.

MLA Handbook (7th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Web. 01 Dec 2020.

Vancouver:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1969.1/155131.

Council of Science Editors:

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


Texas A&M University

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

Degree: MS, Mechanical Engineering, 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. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11178

Chicago Manual of Style (16th Edition):

Martin, Michael. “Modeling of Transport in Lithium Ion Battery Electrodes.” 2012. Masters Thesis, Texas A&M University. Accessed December 01, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11178.

MLA Handbook (7th Edition):

Martin, Michael. “Modeling of Transport in Lithium Ion Battery Electrodes.” 2012. Web. 01 Dec 2020.

Vancouver:

Martin M. Modeling of Transport in Lithium Ion Battery Electrodes. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11178.

Council of Science Editors:

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


Colorado School of Mines

25. Forrester, Mary Michael. Understanding water fluxes through land, vegetation and air with coupled atmospheric and hydrologic modeling at extreme scales.

Degree: PhD, Geology and Geological Engineering, 2020, Colorado School of Mines

 The processes that govern the quality, quantity, and movement of water resources are a multifaceted and nonlinear system of interactions between the earth, the land… (more)

Subjects/Keywords: computational; land surface; atmosphere; modeling; groundwater

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APA (6th Edition):

Forrester, M. M. (2020). Understanding water fluxes through land, vegetation and air with coupled atmospheric and hydrologic modeling at extreme scales. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/174215

Chicago Manual of Style (16th Edition):

Forrester, Mary Michael. “Understanding water fluxes through land, vegetation and air with coupled atmospheric and hydrologic modeling at extreme scales.” 2020. Doctoral Dissertation, Colorado School of Mines. Accessed December 01, 2020. http://hdl.handle.net/11124/174215.

MLA Handbook (7th Edition):

Forrester, Mary Michael. “Understanding water fluxes through land, vegetation and air with coupled atmospheric and hydrologic modeling at extreme scales.” 2020. Web. 01 Dec 2020.

Vancouver:

Forrester MM. Understanding water fluxes through land, vegetation and air with coupled atmospheric and hydrologic modeling at extreme scales. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2020. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/11124/174215.

Council of Science Editors:

Forrester MM. Understanding water fluxes through land, vegetation and air with coupled atmospheric and hydrologic modeling at extreme scales. [Doctoral Dissertation]. Colorado School of Mines; 2020. Available from: http://hdl.handle.net/11124/174215


Boston College

26. Zhang, Lu. Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches.

Degree: PhD, Biology, 2012, Boston College

 The field of lipidomics has rapidly progressed since its inception only a decade ago. Technological revolutions in mass spectrometry, chromatography, and computational biology now enables… (more)

Subjects/Keywords: bioinformatic; computational; dynamics; lipidomics; modeling; statistical

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APA (6th Edition):

Zhang, L. (2012). Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches. (Doctoral Dissertation). Boston College. Retrieved from http://dlib.bc.edu/islandora/object/bc-ir:101631

Chicago Manual of Style (16th Edition):

Zhang, Lu. “Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches.” 2012. Doctoral Dissertation, Boston College. Accessed December 01, 2020. http://dlib.bc.edu/islandora/object/bc-ir:101631.

MLA Handbook (7th Edition):

Zhang, Lu. “Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches.” 2012. Web. 01 Dec 2020.

Vancouver:

Zhang L. Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches. [Internet] [Doctoral dissertation]. Boston College; 2012. [cited 2020 Dec 01]. Available from: http://dlib.bc.edu/islandora/object/bc-ir:101631.

Council of Science Editors:

Zhang L. Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches. [Doctoral Dissertation]. Boston College; 2012. Available from: http://dlib.bc.edu/islandora/object/bc-ir:101631


Uppsala University

27. 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 December 01, 2020. 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. 01 Dec 2020.

Vancouver:

Holmgren H. Computational Ice Dynamics and Hydraulics : Towards a Coupling in the Ice Sheet Code ARCTIC-TARAH. [Internet] [Thesis]. Uppsala University; 2012. [cited 2020 Dec 01]. 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


Rice University

28. 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 December 01, 2020. http://hdl.handle.net/1911/96072.

MLA Handbook (7th Edition):

Huang, Bin. “Decoding biological gene regulatory networks by quantitative modeling.” 2017. Web. 01 Dec 2020.

Vancouver:

Huang B. Decoding biological gene regulatory networks by quantitative modeling. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2020 Dec 01]. 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


Rice University

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

Degree: PhD, Computational Biology, 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, B. (2017). Decoding biological gene regulatory networks by quantitative modeling. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/96073

Chicago Manual of Style (16th Edition):

Huang, Bin. “Decoding biological gene regulatory networks by quantitative modeling.” 2017. Doctoral Dissertation, Rice University. Accessed December 01, 2020. http://hdl.handle.net/1911/96073.

MLA Handbook (7th Edition):

Huang, Bin. “Decoding biological gene regulatory networks by quantitative modeling.” 2017. Web. 01 Dec 2020.

Vancouver:

Huang B. Decoding biological gene regulatory networks by quantitative modeling. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1911/96073.

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/1911/96073


Rice University

30. Lin, Ka Wai. Insulin Signaling & Hypoxic Response in Brain Cancer.

Degree: PhD, Engineering, 2015, Rice University

 Glioblastoma patient survival rate has stagnated for the past 30 years, with median survival time less than 1 year. Only 20% of the young (0-19… (more)

Subjects/Keywords: Glioblastoma; Computational Modeling; Insulin Signaling; Hypoxic Response

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APA (6th Edition):

Lin, K. W. (2015). Insulin Signaling & Hypoxic Response in Brain Cancer. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/108004

Chicago Manual of Style (16th Edition):

Lin, Ka Wai. “Insulin Signaling & Hypoxic Response in Brain Cancer.” 2015. Doctoral Dissertation, Rice University. Accessed December 01, 2020. http://hdl.handle.net/1911/108004.

MLA Handbook (7th Edition):

Lin, Ka Wai. “Insulin Signaling & Hypoxic Response in Brain Cancer.” 2015. Web. 01 Dec 2020.

Vancouver:

Lin KW. Insulin Signaling & Hypoxic Response in Brain Cancer. [Internet] [Doctoral dissertation]. Rice University; 2015. [cited 2020 Dec 01]. Available from: http://hdl.handle.net/1911/108004.

Council of Science Editors:

Lin KW. Insulin Signaling & Hypoxic Response in Brain Cancer. [Doctoral Dissertation]. Rice University; 2015. Available from: http://hdl.handle.net/1911/108004

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