Items where Division is "Biology" and Year is 2024

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Chamlian, Badrouyk (2024) Genomics-based Mixed-stock Analysis of Brook Trout Reveals Cryptic Population Structure and Complex Lake Migrations. Masters thesis, Concordia University.

Crudele, Nicholas (2024) Integrating Electrochemical Sensing with Droplet Microfluidics for Metabolic Engineering. Masters thesis, Concordia University.

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Gallagher, Brian K. (2024) Variation in Effects of Climate Change on Salmonid Demography: Extent, Scale, and Underlying Mechanisms. PhD thesis, Concordia University.

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Iwuchukwu, Nmerichukwu (2024) Characterization of ORF19.7608 (PPP1), a Biofilm-induced Gene Encoding a Protein of Unknown Function in Candida albicans. Masters thesis, Concordia University.

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Lemay, Johnathan (2024) Home range size of freshwater fishes: a meta-analysis through a new lens. Masters thesis, Concordia University.

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Onana, Vera E ORCID: https://orcid.org/0000-0002-9105-4746 (2024) Investigating freshwater bacterial diversity, community composition and function in hundreds of Canadian Lakes. PhD thesis, Concordia University.

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Paulauskas, Michael (2024) Assessing land-use legacy effects on soil physico-chemical properties and earthworm biodiversity in urban parks. Masters thesis, Concordia University.

Pawelczak, Alexander Christophe (2024) Exploring protein candidates with enhanced cargo loading capabilities into Saccharomyces cerevisiae extracellular vesicles. Masters thesis, Concordia University.

Perry, James M. (2024) Harnessing Digital and Droplet Microfluidics to Advance Synthetic Biology. PhD thesis, Concordia University.

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Rios, Amanda (2024) Measuring the Immunomodulatory Effects of beta-Adrenergic Receptor Drugs on THP-1-Derived M1 and M2 Macrophage-Like Cells. Masters thesis, Concordia University.

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Spensieri, Allegra (2024) Examining the movement patterns of the European common blue butterfly (Polyommatus icarus): A study on short-term and long-term movement of an invasive species. Masters thesis, Concordia University.

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Williams, John-Philip (2024) A simulation-based comparison of confidence interval coverage, bias, and variance of alternative spatial biomass estimation methods used for the evaluation of Northern Shrimp biomass. Masters thesis, Concordia University.