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You searched for +publisher:"University of North Carolina" +contributor:("Furey, Terrence"). Showing records 1 – 10 of 10 total matches.

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University of North Carolina

1. Zhang, Zhuzhu. THE INFLUENCE OF CHROMATIN STATE ON PLURIPOTENCY, TRANSLOCATIONS, AND GENE REGULATION IN HUMAN CELLS.

Degree: 2014, University of North Carolina

 A human body consists of more than a thousand cell types, each having a unique identity and function. Despite their distinct functions, all the different… (more)

Subjects/Keywords: School of Medicine; Curriculum in Bioinformatics and Computational Biology

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APA (6th Edition):

Zhang, Z. (2014). THE INFLUENCE OF CHROMATIN STATE ON PLURIPOTENCY, TRANSLOCATIONS, AND GENE REGULATION IN HUMAN CELLS. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:18fa6016-5294-4235-beb9-0f1142010122

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):

Zhang, Zhuzhu. “THE INFLUENCE OF CHROMATIN STATE ON PLURIPOTENCY, TRANSLOCATIONS, AND GENE REGULATION IN HUMAN CELLS.” 2014. Thesis, University of North Carolina. Accessed January 22, 2021. https://cdr.lib.unc.edu/record/uuid:18fa6016-5294-4235-beb9-0f1142010122.

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

MLA Handbook (7th Edition):

Zhang, Zhuzhu. “THE INFLUENCE OF CHROMATIN STATE ON PLURIPOTENCY, TRANSLOCATIONS, AND GENE REGULATION IN HUMAN CELLS.” 2014. Web. 22 Jan 2021.

Vancouver:

Zhang Z. THE INFLUENCE OF CHROMATIN STATE ON PLURIPOTENCY, TRANSLOCATIONS, AND GENE REGULATION IN HUMAN CELLS. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2021 Jan 22]. Available from: https://cdr.lib.unc.edu/record/uuid:18fa6016-5294-4235-beb9-0f1142010122.

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

Council of Science Editors:

Zhang Z. THE INFLUENCE OF CHROMATIN STATE ON PLURIPOTENCY, TRANSLOCATIONS, AND GENE REGULATION IN HUMAN CELLS. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:18fa6016-5294-4235-beb9-0f1142010122

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


University of North Carolina

2. Weise Cross, Laura. Regulation of Smooth Muscle Cell Phenotype by the RhoA Effectors mDia1 and mDia2.

Degree: Pathology and Laboratory Medicine, 2015, University of North Carolina

 Smooth muscle cells (SMCs) play an important role in vascular development and disease. Vascular SMCs undergo profound changes in phenotype in response to environmental cues… (more)

Subjects/Keywords: Pathology; Cytology; Molecular biology; School of Medicine; Department of Pathology and Laboratory Medicine

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APA (6th Edition):

Weise Cross, L. (2015). Regulation of Smooth Muscle Cell Phenotype by the RhoA Effectors mDia1 and mDia2. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:b656650d-84e2-48f7-ac8b-4135ba45a063

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):

Weise Cross, Laura. “Regulation of Smooth Muscle Cell Phenotype by the RhoA Effectors mDia1 and mDia2.” 2015. Thesis, University of North Carolina. Accessed January 22, 2021. https://cdr.lib.unc.edu/record/uuid:b656650d-84e2-48f7-ac8b-4135ba45a063.

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

MLA Handbook (7th Edition):

Weise Cross, Laura. “Regulation of Smooth Muscle Cell Phenotype by the RhoA Effectors mDia1 and mDia2.” 2015. Web. 22 Jan 2021.

Vancouver:

Weise Cross L. Regulation of Smooth Muscle Cell Phenotype by the RhoA Effectors mDia1 and mDia2. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Jan 22]. Available from: https://cdr.lib.unc.edu/record/uuid:b656650d-84e2-48f7-ac8b-4135ba45a063.

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

Council of Science Editors:

Weise Cross L. Regulation of Smooth Muscle Cell Phenotype by the RhoA Effectors mDia1 and mDia2. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:b656650d-84e2-48f7-ac8b-4135ba45a063

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


University of North Carolina

3. Buchkovich, Martin. Identifying genetic mechanisms of cardiometabolic traits and diseases using quantitative sequence data.

Degree: 2015, University of North Carolina

 Cardiometabolic diseases are a worldwide health concern. Genetics studies have identified hundreds of genetic loci associated with these diseases and other cardiometabolic risk factors, but… (more)

Subjects/Keywords: Bioinformatics; Genetics; School of Medicine; Curriculum in Bioinformatics and Computational Biology

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APA (6th Edition):

Buchkovich, M. (2015). Identifying genetic mechanisms of cardiometabolic traits and diseases using quantitative sequence data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:8787df5a-c26b-40b7-933f-58b318daa38c

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):

Buchkovich, Martin. “Identifying genetic mechanisms of cardiometabolic traits and diseases using quantitative sequence data.” 2015. Thesis, University of North Carolina. Accessed January 22, 2021. https://cdr.lib.unc.edu/record/uuid:8787df5a-c26b-40b7-933f-58b318daa38c.

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

MLA Handbook (7th Edition):

Buchkovich, Martin. “Identifying genetic mechanisms of cardiometabolic traits and diseases using quantitative sequence data.” 2015. Web. 22 Jan 2021.

Vancouver:

Buchkovich M. Identifying genetic mechanisms of cardiometabolic traits and diseases using quantitative sequence data. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Jan 22]. Available from: https://cdr.lib.unc.edu/record/uuid:8787df5a-c26b-40b7-933f-58b318daa38c.

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

Council of Science Editors:

Buchkovich M. Identifying genetic mechanisms of cardiometabolic traits and diseases using quantitative sequence data. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:8787df5a-c26b-40b7-933f-58b318daa38c

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


University of North Carolina

4. Duan, Qing. Imputation-based Genetic Association Analysis of Complex Traits in Admixed Populations.

Degree: 2016, University of North Carolina

 Genetic association studies in admixed populations have drawn increasing attention from the genetic community, as performing association analysis in diverse populations allows us to gain… (more)

Subjects/Keywords: School of Medicine; Curriculum in Bioinformatics and Computational Biology

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APA (6th Edition):

Duan, Q. (2016). Imputation-based Genetic Association Analysis of Complex Traits in Admixed Populations. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:b0d021e1-9cf0-46c1-9cf1-818f31c15112

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):

Duan, Qing. “Imputation-based Genetic Association Analysis of Complex Traits in Admixed Populations.” 2016. Thesis, University of North Carolina. Accessed January 22, 2021. https://cdr.lib.unc.edu/record/uuid:b0d021e1-9cf0-46c1-9cf1-818f31c15112.

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

MLA Handbook (7th Edition):

Duan, Qing. “Imputation-based Genetic Association Analysis of Complex Traits in Admixed Populations.” 2016. Web. 22 Jan 2021.

Vancouver:

Duan Q. Imputation-based Genetic Association Analysis of Complex Traits in Admixed Populations. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2021 Jan 22]. Available from: https://cdr.lib.unc.edu/record/uuid:b0d021e1-9cf0-46c1-9cf1-818f31c15112.

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

Council of Science Editors:

Duan Q. Imputation-based Genetic Association Analysis of Complex Traits in Admixed Populations. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:b0d021e1-9cf0-46c1-9cf1-818f31c15112

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


University of North Carolina

5. Tolson, Chanin. Computational Tools for Classifying and Visualizing RNA Structure Change in High-Throughput Experimental Data.

Degree: 2017, University of North Carolina

 Mutations (or Single Nucleotide Variants) in folded RiboNucleic Acid (RNA) structures that cause local or global conformational change are riboSNitches. Predicting riboSNitches is challenging, as… (more)

Subjects/Keywords: School of Medicine; Curriculum in Bioinformatics and Computational Biology

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APA (6th Edition):

Tolson, C. (2017). Computational Tools for Classifying and Visualizing RNA Structure Change in High-Throughput Experimental Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:72d19805-32b0-42ba-85ec-d873d31e9687

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):

Tolson, Chanin. “Computational Tools for Classifying and Visualizing RNA Structure Change in High-Throughput Experimental Data.” 2017. Thesis, University of North Carolina. Accessed January 22, 2021. https://cdr.lib.unc.edu/record/uuid:72d19805-32b0-42ba-85ec-d873d31e9687.

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

MLA Handbook (7th Edition):

Tolson, Chanin. “Computational Tools for Classifying and Visualizing RNA Structure Change in High-Throughput Experimental Data.” 2017. Web. 22 Jan 2021.

Vancouver:

Tolson C. Computational Tools for Classifying and Visualizing RNA Structure Change in High-Throughput Experimental Data. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2021 Jan 22]. Available from: https://cdr.lib.unc.edu/record/uuid:72d19805-32b0-42ba-85ec-d873d31e9687.

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

Council of Science Editors:

Tolson C. Computational Tools for Classifying and Visualizing RNA Structure Change in High-Throughput Experimental Data. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:72d19805-32b0-42ba-85ec-d873d31e9687

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


University of North Carolina

6. Quach, Bryan. Computational Approaches to Studying Gene Regulation Using Chromatin Accessibility and Gene Expression Assays.

Degree: 2017, University of North Carolina

 The completion of the Human Genome Project marked the beginning of a new era in genomics characterized by significant improvements in high-throughput sequencing technology and… (more)

Subjects/Keywords: School of Medicine; Curriculum in Bioinformatics and Computational Biology

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APA (6th Edition):

Quach, B. (2017). Computational Approaches to Studying Gene Regulation Using Chromatin Accessibility and Gene Expression Assays. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:fdece356-6770-4b7f-80d7-fe15848a93cc

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):

Quach, Bryan. “Computational Approaches to Studying Gene Regulation Using Chromatin Accessibility and Gene Expression Assays.” 2017. Thesis, University of North Carolina. Accessed January 22, 2021. https://cdr.lib.unc.edu/record/uuid:fdece356-6770-4b7f-80d7-fe15848a93cc.

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

MLA Handbook (7th Edition):

Quach, Bryan. “Computational Approaches to Studying Gene Regulation Using Chromatin Accessibility and Gene Expression Assays.” 2017. Web. 22 Jan 2021.

Vancouver:

Quach B. Computational Approaches to Studying Gene Regulation Using Chromatin Accessibility and Gene Expression Assays. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2021 Jan 22]. Available from: https://cdr.lib.unc.edu/record/uuid:fdece356-6770-4b7f-80d7-fe15848a93cc.

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

Council of Science Editors:

Quach B. Computational Approaches to Studying Gene Regulation Using Chromatin Accessibility and Gene Expression Assays. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:fdece356-6770-4b7f-80d7-fe15848a93cc

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


University of North Carolina

7. Coffey, Alisha. Systems Genetics Approach to Defining Genetic and MicroRNA Association with Diet-Associated Atherosclerosis.

Degree: 2018, University of North Carolina

 Atherosclerosis is a progressive condition that can develop over the course of decades, and eventually lead to cardiovascular disease, which is the leading cause of… (more)

Subjects/Keywords: School of Medicine; Curriculum in Genetics and Molecular Biology

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APA (6th Edition):

Coffey, A. (2018). Systems Genetics Approach to Defining Genetic and MicroRNA Association with Diet-Associated Atherosclerosis. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:705cc275-e170-4d07-ad86-477e27da2dde

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):

Coffey, Alisha. “Systems Genetics Approach to Defining Genetic and MicroRNA Association with Diet-Associated Atherosclerosis.” 2018. Thesis, University of North Carolina. Accessed January 22, 2021. https://cdr.lib.unc.edu/record/uuid:705cc275-e170-4d07-ad86-477e27da2dde.

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

MLA Handbook (7th Edition):

Coffey, Alisha. “Systems Genetics Approach to Defining Genetic and MicroRNA Association with Diet-Associated Atherosclerosis.” 2018. Web. 22 Jan 2021.

Vancouver:

Coffey A. Systems Genetics Approach to Defining Genetic and MicroRNA Association with Diet-Associated Atherosclerosis. [Internet] [Thesis]. University of North Carolina; 2018. [cited 2021 Jan 22]. Available from: https://cdr.lib.unc.edu/record/uuid:705cc275-e170-4d07-ad86-477e27da2dde.

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

Council of Science Editors:

Coffey A. Systems Genetics Approach to Defining Genetic and MicroRNA Association with Diet-Associated Atherosclerosis. [Thesis]. University of North Carolina; 2018. Available from: https://cdr.lib.unc.edu/record/uuid:705cc275-e170-4d07-ad86-477e27da2dde

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


University of North Carolina

8. Baran-Gale, Jeanette. Dynamics of mRNA and microRNA Expression in the Estrogen Response of Breast Cancer Cells.

Degree: 2016, University of North Carolina

 Cellular signaling leads to broad changes in gene expression that reprogram the cell and alter cell state. Signaling often begins with cellular receptors binding a… (more)

Subjects/Keywords: School of Medicine; Curriculum in Bioinformatics and Computational Biology

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APA (6th Edition):

Baran-Gale, J. (2016). Dynamics of mRNA and microRNA Expression in the Estrogen Response of Breast Cancer Cells. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:4adf8ac6-d9fb-4c71-b553-20f271377458

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):

Baran-Gale, Jeanette. “Dynamics of mRNA and microRNA Expression in the Estrogen Response of Breast Cancer Cells.” 2016. Thesis, University of North Carolina. Accessed January 22, 2021. https://cdr.lib.unc.edu/record/uuid:4adf8ac6-d9fb-4c71-b553-20f271377458.

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

MLA Handbook (7th Edition):

Baran-Gale, Jeanette. “Dynamics of mRNA and microRNA Expression in the Estrogen Response of Breast Cancer Cells.” 2016. Web. 22 Jan 2021.

Vancouver:

Baran-Gale J. Dynamics of mRNA and microRNA Expression in the Estrogen Response of Breast Cancer Cells. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2021 Jan 22]. Available from: https://cdr.lib.unc.edu/record/uuid:4adf8ac6-d9fb-4c71-b553-20f271377458.

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

Council of Science Editors:

Baran-Gale J. Dynamics of mRNA and microRNA Expression in the Estrogen Response of Breast Cancer Cells. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:4adf8ac6-d9fb-4c71-b553-20f271377458

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


University of North Carolina

9. Chappell, Grace. Alterations to the Epigenome Represent Critical Mechanisms of Chemically Induced Carcinogenesis.

Degree: Environmental Sciences and Engineering, 2016, University of North Carolina

 Environmental and occupational exposures to both natural and anthropogenic substances are known to play a causative role in carcinogenesis. While it is well accepted that… (more)

Subjects/Keywords: Gillings School of Global Public Health; Department of Environmental Sciences and Engineering

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APA (6th Edition):

Chappell, G. (2016). Alterations to the Epigenome Represent Critical Mechanisms of Chemically Induced Carcinogenesis. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:cbd022ff-b2a8-4bad-987c-8b3c72f7e900

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):

Chappell, Grace. “Alterations to the Epigenome Represent Critical Mechanisms of Chemically Induced Carcinogenesis.” 2016. Thesis, University of North Carolina. Accessed January 22, 2021. https://cdr.lib.unc.edu/record/uuid:cbd022ff-b2a8-4bad-987c-8b3c72f7e900.

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

MLA Handbook (7th Edition):

Chappell, Grace. “Alterations to the Epigenome Represent Critical Mechanisms of Chemically Induced Carcinogenesis.” 2016. Web. 22 Jan 2021.

Vancouver:

Chappell G. Alterations to the Epigenome Represent Critical Mechanisms of Chemically Induced Carcinogenesis. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2021 Jan 22]. Available from: https://cdr.lib.unc.edu/record/uuid:cbd022ff-b2a8-4bad-987c-8b3c72f7e900.

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

Council of Science Editors:

Chappell G. Alterations to the Epigenome Represent Critical Mechanisms of Chemically Induced Carcinogenesis. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:cbd022ff-b2a8-4bad-987c-8b3c72f7e900

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


University of North Carolina

10. Weiser, Matthew. PROBING THE ARCHITECTURE OF COMPLEX TRAITS: FUNCTIONAL GENOMICS METHODS AND APPLICATIONS.

Degree: 2015, University of North Carolina

 Genome wide association studies (GWA) have had tremendous success in identifying genetic variants associated with complex traits. However, the majority of associated loci fall outside… (more)

Subjects/Keywords: Bioinformatics; School of Medicine; Curriculum in Bioinformatics and Computational Biology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Weiser, M. (2015). PROBING THE ARCHITECTURE OF COMPLEX TRAITS: FUNCTIONAL GENOMICS METHODS AND APPLICATIONS. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:541f8d44-23b5-4752-9c26-d598bfa752f5

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):

Weiser, Matthew. “PROBING THE ARCHITECTURE OF COMPLEX TRAITS: FUNCTIONAL GENOMICS METHODS AND APPLICATIONS.” 2015. Thesis, University of North Carolina. Accessed January 22, 2021. https://cdr.lib.unc.edu/record/uuid:541f8d44-23b5-4752-9c26-d598bfa752f5.

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

MLA Handbook (7th Edition):

Weiser, Matthew. “PROBING THE ARCHITECTURE OF COMPLEX TRAITS: FUNCTIONAL GENOMICS METHODS AND APPLICATIONS.” 2015. Web. 22 Jan 2021.

Vancouver:

Weiser M. PROBING THE ARCHITECTURE OF COMPLEX TRAITS: FUNCTIONAL GENOMICS METHODS AND APPLICATIONS. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Jan 22]. Available from: https://cdr.lib.unc.edu/record/uuid:541f8d44-23b5-4752-9c26-d598bfa752f5.

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

Council of Science Editors:

Weiser M. PROBING THE ARCHITECTURE OF COMPLEX TRAITS: FUNCTIONAL GENOMICS METHODS AND APPLICATIONS. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:541f8d44-23b5-4752-9c26-d598bfa752f5

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

.