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You searched for +publisher:"Georgia Tech" +contributor:("Styczynski, Mark P."). Showing records 1 – 12 of 12 total matches.

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Georgia Tech

1. Negron, Arnaldo Andres. Understanding the link between meteorology and speciated abundance of bioaerosols in an urban environment.

Degree: MS, Chemical and Biomolecular Engineering, 2016, Georgia Tech

 The abundance and speciation of primary biological atmospheric particles (PBAP) has been of great interest due to their potential impact on human health, cloud formation… (more)

Subjects/Keywords: Bioaerosols; Flow cytometry; Light induced fluorescence

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APA (6th Edition):

Negron, A. A. (2016). Understanding the link between meteorology and speciated abundance of bioaerosols in an urban environment. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58174

Chicago Manual of Style (16th Edition):

Negron, Arnaldo Andres. “Understanding the link between meteorology and speciated abundance of bioaerosols in an urban environment.” 2016. Masters Thesis, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/58174.

MLA Handbook (7th Edition):

Negron, Arnaldo Andres. “Understanding the link between meteorology and speciated abundance of bioaerosols in an urban environment.” 2016. Web. 15 Apr 2021.

Vancouver:

Negron AA. Understanding the link between meteorology and speciated abundance of bioaerosols in an urban environment. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/58174.

Council of Science Editors:

Negron AA. Understanding the link between meteorology and speciated abundance of bioaerosols in an urban environment. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/58174


Georgia Tech

2. Bhattacharyya, Souryadeep. Synthetic sensing systems in Saccharomyces cerevisiae.

Degree: MS, Chemical and Biomolecular Engineering, 2014, Georgia Tech

 The yeast Saccharomyces cerevisiae is a major chemical production platform in the biotechnological industry. It is also increasingly being used as a whole cell biosensor.… (more)

Subjects/Keywords: OR Gate; Biosensor; Yeast; Saccharomyces cerevisiae; Nonanal; Synthetic transcription factor; Transcription factor; Chemical profiling; Promoters; Decanoic acid

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APA (6th Edition):

Bhattacharyya, S. (2014). Synthetic sensing systems in Saccharomyces cerevisiae. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54016

Chicago Manual of Style (16th Edition):

Bhattacharyya, Souryadeep. “Synthetic sensing systems in Saccharomyces cerevisiae.” 2014. Masters Thesis, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/54016.

MLA Handbook (7th Edition):

Bhattacharyya, Souryadeep. “Synthetic sensing systems in Saccharomyces cerevisiae.” 2014. Web. 15 Apr 2021.

Vancouver:

Bhattacharyya S. Synthetic sensing systems in Saccharomyces cerevisiae. [Internet] [Masters thesis]. Georgia Tech; 2014. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/54016.

Council of Science Editors:

Bhattacharyya S. Synthetic sensing systems in Saccharomyces cerevisiae. [Masters Thesis]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54016


Georgia Tech

3. Sengupta, Aritra. Intracellular drug delivery using laser activated carbon nanoparticles.

Degree: PhD, Chemical and Biomolecular Engineering, 2014, Georgia Tech

 We demonstrate intracellular delivery of various molecules by inducing controlled and reversible cell damage through pulsed laser irradiation of carbon black (CB) nanoparticles. We then… (more)

Subjects/Keywords: Laser; Nanosecond; Carbon black; Intracellular; Drug delivery; Photoacoustics; Pluronics; Poloxamer; siRNA; EGFR; In-vivo; In-vitro

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APA (6th Edition):

Sengupta, A. (2014). Intracellular drug delivery using laser activated carbon nanoparticles. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53996

Chicago Manual of Style (16th Edition):

Sengupta, Aritra. “Intracellular drug delivery using laser activated carbon nanoparticles.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/53996.

MLA Handbook (7th Edition):

Sengupta, Aritra. “Intracellular drug delivery using laser activated carbon nanoparticles.” 2014. Web. 15 Apr 2021.

Vancouver:

Sengupta A. Intracellular drug delivery using laser activated carbon nanoparticles. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/53996.

Council of Science Editors:

Sengupta A. Intracellular drug delivery using laser activated carbon nanoparticles. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53996


Georgia Tech

4. Vermeersch, Kathleen A. Systems-level characterization of ovarian cancer metabolism.

Degree: PhD, Chemical and Biomolecular Engineering, 2014, Georgia Tech

 The purpose of this thesis was to characterize cancer metabolism in vitro using epithelial ovarian cancer as a model on an untargeted, systems-level, basis with… (more)

Subjects/Keywords: Cancer stem cells; Cancer metabolism; Ovarian cancer; Metabolomics

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APA (6th Edition):

Vermeersch, K. A. (2014). Systems-level characterization of ovarian cancer metabolism. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54258

Chicago Manual of Style (16th Edition):

Vermeersch, Kathleen A. “Systems-level characterization of ovarian cancer metabolism.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/54258.

MLA Handbook (7th Edition):

Vermeersch, Kathleen A. “Systems-level characterization of ovarian cancer metabolism.” 2014. Web. 15 Apr 2021.

Vancouver:

Vermeersch KA. Systems-level characterization of ovarian cancer metabolism. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/54258.

Council of Science Editors:

Vermeersch KA. Systems-level characterization of ovarian cancer metabolism. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54258


Georgia Tech

5. McNerney, Monica Pearl. Biosensor development for field-deployable diagnostics.

Degree: PhD, Chemical and Biomolecular Engineering, 2019, Georgia Tech

 Almost all current tests for biomarkers require venous blood draws, extensive sample processing, and analysis with complex equipment. Inexpensive, easy-to-use tests are critical for expanding… (more)

Subjects/Keywords: synthetic biology; biosensors; bioengineering

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APA (6th Edition):

McNerney, M. P. (2019). Biosensor development for field-deployable diagnostics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63490

Chicago Manual of Style (16th Edition):

McNerney, Monica Pearl. “Biosensor development for field-deployable diagnostics.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/63490.

MLA Handbook (7th Edition):

McNerney, Monica Pearl. “Biosensor development for field-deployable diagnostics.” 2019. Web. 15 Apr 2021.

Vancouver:

McNerney MP. Biosensor development for field-deployable diagnostics. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/63490.

Council of Science Editors:

McNerney MP. Biosensor development for field-deployable diagnostics. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/63490


Georgia Tech

6. Yang, Xuejiao. Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques.

Degree: PhD, Chemical and Biomolecular Engineering, 2020, Georgia Tech

 In applications such as wind energy, industrial robotics, and chemical processing, increases in complexity and automation have made component malfunctions and other abnormal events (i.e.,… (more)

Subjects/Keywords: Set-based fault detection; reachability analysis; set-based state estimation

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APA (6th Edition):

Yang, X. (2020). Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64107

Chicago Manual of Style (16th Edition):

Yang, Xuejiao. “Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques.” 2020. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/64107.

MLA Handbook (7th Edition):

Yang, Xuejiao. “Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques.” 2020. Web. 15 Apr 2021.

Vancouver:

Yang X. Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/64107.

Council of Science Editors:

Yang X. Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64107


Georgia Tech

7. Jones, Christina Michele. Applications and challenges in mass spectrometry-based untargeted metabolomics.

Degree: PhD, Chemistry and Biochemistry, 2015, Georgia Tech

 Metabolomics is the methodical scientific study of biochemical processes associated with the metabolome—which comprises the entire collection of metabolites in any biological entity. Metabolome changes… (more)

Subjects/Keywords: Metabolomics; Untargeted metabolomics; Metabolite profiling; Metabolite fingerprinting; Mass spectrometry; Oncometabolomics; Ecometabolomics; Serum metabolomics; Systems biology; Proteomics; Cancer detection; Early detection; Biomarkers; Prostate cancer; Prostate cancer detection; Machine learning methods; Support vector machines; In vitro diagnostic multivariate index assay; IVDMIA; Ovarian cancer; Ovarian cancer detection; Mouse models; DKO mouse model; Early stage cancer detection; Chemically mediated interactions; Chemical ecology; Karenia brevis; Allelopathy; Red tide; Ambient mass spectrometry; Ultra performance liquid chromatography; Direct analysis in real time; DART; Transmission mode DART; Probe mode DART; Traveling wave ion mobility-mass spectrometry; TWIMS; Exhaled breath condensate; Cystic fibrosis

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APA (6th Edition):

Jones, C. M. (2015). Applications and challenges in mass spectrometry-based untargeted metabolomics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54830

Chicago Manual of Style (16th Edition):

Jones, Christina Michele. “Applications and challenges in mass spectrometry-based untargeted metabolomics.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/54830.

MLA Handbook (7th Edition):

Jones, Christina Michele. “Applications and challenges in mass spectrometry-based untargeted metabolomics.” 2015. Web. 15 Apr 2021.

Vancouver:

Jones CM. Applications and challenges in mass spectrometry-based untargeted metabolomics. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/54830.

Council of Science Editors:

Jones CM. Applications and challenges in mass spectrometry-based untargeted metabolomics. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54830


Georgia Tech

8. Chen, Po Wei. Characterization of sphingolipid-based stress responses in the yeast Saccharomyces cerevisiae through reverse engineering.

Degree: PhD, Mechanical Engineering, 2015, Georgia Tech

 Sphingolipids regulate numerous cell functions through the activation of specific signaling cascades. Although sphingolipids have been investigated for several decades, a detailed mechanistic and systemic… (more)

Subjects/Keywords: Sphingolipid; ceramide; heat stress; hydroxyurea stress; piecewise optimization approach

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APA (6th Edition):

Chen, P. W. (2015). Characterization of sphingolipid-based stress responses in the yeast Saccharomyces cerevisiae through reverse engineering. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55534

Chicago Manual of Style (16th Edition):

Chen, Po Wei. “Characterization of sphingolipid-based stress responses in the yeast Saccharomyces cerevisiae through reverse engineering.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/55534.

MLA Handbook (7th Edition):

Chen, Po Wei. “Characterization of sphingolipid-based stress responses in the yeast Saccharomyces cerevisiae through reverse engineering.” 2015. Web. 15 Apr 2021.

Vancouver:

Chen PW. Characterization of sphingolipid-based stress responses in the yeast Saccharomyces cerevisiae through reverse engineering. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/55534.

Council of Science Editors:

Chen PW. Characterization of sphingolipid-based stress responses in the yeast Saccharomyces cerevisiae through reverse engineering. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55534

9. Smith, McKenzie L. Systematic investigation of protein-metabolite regulatory interactions: methodologies and context.

Degree: PhD, Chemical and Biomolecular Engineering, 2016, Georgia Tech

 A systems-level understanding of metabolism will have far-reaching benefits from medicine to ecology to industry, as it will facilitate the comprehensive profiling and prediction of… (more)

Subjects/Keywords: Allostery; Metabolomics; Systems biology

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APA (6th Edition):

Smith, M. L. (2016). Systematic investigation of protein-metabolite regulatory interactions: methodologies and context. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56353

Chicago Manual of Style (16th Edition):

Smith, McKenzie L. “Systematic investigation of protein-metabolite regulatory interactions: methodologies and context.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/56353.

MLA Handbook (7th Edition):

Smith, McKenzie L. “Systematic investigation of protein-metabolite regulatory interactions: methodologies and context.” 2016. Web. 15 Apr 2021.

Vancouver:

Smith ML. Systematic investigation of protein-metabolite regulatory interactions: methodologies and context. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/56353.

Council of Science Editors:

Smith ML. Systematic investigation of protein-metabolite regulatory interactions: methodologies and context. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56353

10. Teng, Die. Computational studies of transition metal nanoclusters on metal-supported graphene moiré.

Degree: PhD, Chemical and Biomolecular Engineering, 2014, Georgia Tech

 The graphene moiré superstructure formed on Ru(0001) (g/Ru(0001)) has shown the potential as a template to self-assemble super-lattices of metal nanoparticles as model catalysts. To… (more)

Subjects/Keywords: Transition metal nanoclusters; Graphene moiré; Cluster nucleation and growth; DFT calculations; Computational methods; Graphene; Self-assembly (Chemistry); Nanoparticles; Catalysts; Adsorption; Diffusion

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APA (6th Edition):

Teng, D. (2014). Computational studies of transition metal nanoclusters on metal-supported graphene moiré. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51830

Chicago Manual of Style (16th Edition):

Teng, Die. “Computational studies of transition metal nanoclusters on metal-supported graphene moiré.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/51830.

MLA Handbook (7th Edition):

Teng, Die. “Computational studies of transition metal nanoclusters on metal-supported graphene moiré.” 2014. Web. 15 Apr 2021.

Vancouver:

Teng D. Computational studies of transition metal nanoclusters on metal-supported graphene moiré. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/51830.

Council of Science Editors:

Teng D. Computational studies of transition metal nanoclusters on metal-supported graphene moiré. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51830

11. Gomez Ramos, Lizzette M. Structure, function and drug targeting: Ribosome expansion segments.

Degree: PhD, Chemical and Biomolecular Engineering, 2017, Georgia Tech

 Divergence among ribosomal RNAs (rRNAs) is focused on Expansion Segments (ESs). Eukaryotic ribosomes are significantly larger than prokaryotic ribosomes in part because of their ESs.… (more)

Subjects/Keywords: Ribosome; Expansion segments; Anti-microbial discovery; RNA-protein interactions; RNA structure

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APA (6th Edition):

Gomez Ramos, L. M. (2017). Structure, function and drug targeting: Ribosome expansion segments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59755

Chicago Manual of Style (16th Edition):

Gomez Ramos, Lizzette M. “Structure, function and drug targeting: Ribosome expansion segments.” 2017. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/59755.

MLA Handbook (7th Edition):

Gomez Ramos, Lizzette M. “Structure, function and drug targeting: Ribosome expansion segments.” 2017. Web. 15 Apr 2021.

Vancouver:

Gomez Ramos LM. Structure, function and drug targeting: Ribosome expansion segments. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/59755.

Council of Science Editors:

Gomez Ramos LM. Structure, function and drug targeting: Ribosome expansion segments. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59755

12. Dromms, Robert A. Computational methods for integrating metabolomics data with metabolic engineering strain design.

Degree: PhD, Chemical and Biomolecular Engineering, 2017, Georgia Tech

 The genome-scale analysis of cellular metabolites, “metabolomics”, provides data ideal for applications in metabolic engineering. However, many of the computational tools for strain design are… (more)

Subjects/Keywords: Metabolomics; Systems biology; Metabolic engineering; Flux balance analysis; Data smoothing; Metabolic modeling; Computational modeling; Linear programming

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APA (6th Edition):

Dromms, R. A. (2017). Computational methods for integrating metabolomics data with metabolic engineering strain design. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61595

Chicago Manual of Style (16th Edition):

Dromms, Robert A. “Computational methods for integrating metabolomics data with metabolic engineering strain design.” 2017. Doctoral Dissertation, Georgia Tech. Accessed April 15, 2021. http://hdl.handle.net/1853/61595.

MLA Handbook (7th Edition):

Dromms, Robert A. “Computational methods for integrating metabolomics data with metabolic engineering strain design.” 2017. Web. 15 Apr 2021.

Vancouver:

Dromms RA. Computational methods for integrating metabolomics data with metabolic engineering strain design. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1853/61595.

Council of Science Editors:

Dromms RA. Computational methods for integrating metabolomics data with metabolic engineering strain design. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/61595

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