Showing 2801 - 2810 of 5714 Items
The EOL Enhancer Activates Eya Expression to Mediate Visual System Development in Drosophila melanogaster This record is embargoed.
- Embargo End Date: 2027-05-16
Date: 2024-01-01
Creator: Benjamin Sewell-Grossman
Access: Embargoed
"This people which I made": The Character of King Arthur as a Mechanism of Unification in Medieval Arthuriana and the Idylls of the King
Date: 2016-05-01
Creator: Hallie Schaeffer
Access: Open access
Reframing Mourning: Liberatory Grief in Post-Tragedy Chinese American Women’s Fiction
Date: 2024-01-01
Creator: Sophia Li
Access: Open access
- My project approaches discussions of Asian American melancholia and mourning with a specific focus on contemporary Chinese American women’s fiction. Scholars such as David Eng, Shinhee Han, and Anne Anlin Cheng have long spotlighted the prevalence of depression among Asian American populations, particularly those with immigrant backgrounds, and they variously adopt psychoanalytic approaches to understand Asian American mental health and intersectional identities. Looking beyond psychoanalytic models, my project focuses on the works of Yiyun Li, Jenny Zhang, and K-Ming Chang to explore diverse forms of post-tragedy positionality. I read the authors paratextually, not only to locate them within legacies of diasporic fiction and intersectional auto-writing but also to highlight their critically self-reflexive authorship. I study novels and characters depicting complex processes of mourning, ultimately proposing a reading that views them not only as resisting complete recovery but as forging pathways toward liberatory grief.
Damned If You Do, Damned If You Don't: A Logical Analysis of Moral Dilemmas
Date: 2018-05-01
Creator: Samuel Monkman
Access: Open access
- This project explores the logical structure of moral dilemmas. I introduce the notion of genuine contingent moral dilemmas, as well as basic topics in deontic logic. I then examine two formal arguments claiming that dilemmas are logically impossible. Each argument relies on certain principles of normative reasoning sometimes accepted as axioms of deontic logic. I argue that the principle of agglomeration and a statement of entailment of obligations are both not basic to ethical reasoning, concluding that dilemmas will be admissible under some logically consistent ethical theories. In the final chapter, I examine some consequences of admitting dilemmas into a theory, in particular how doing so complicates assignment of blame.
Characterizing the Motor Activity Patterns of the Mammalian Thoracic Spinal Cord Neural Network This record is embargoed.
- Embargo End Date: 2027-05-16
Date: 2024-01-01
Creator: Sam McClelland
Access: Embargoed
A histological investigation of Arceuthobium pusillum infections in Picea rubens and Picea glauca
Date: 2024-01-01
Creator: Sade K. McClean
Access: Open access
- Arceuthobium pusillum is a hemiparasite that infects select Picea species. The hosts of A. pusillum do not experience the same symptoms of infection. A. pusillum infections are more fatal to P. marinara, and P. glauca. P. rubens, on the other hand, can survive longer with sustained infection. This presents itself as a contemporary issue because P. glauca, one of the parasite’s most vulnerable hosts, was untethered from ecological competition when old growth forests were subjected to large scale anthropogenic disturbances. These disturbances allowed P. glauca to proliferate, with A. pusillum following. A deeper understanding of the host-species specific responses to A. pusillum infection can broaden general knowledge of parasitic growth and development while also potentially inspiring conservation techniques. This study took advantage of the intrinsic differences between host and parasite to visualize infections in P. rubens and P. glauca, highlighting differences in infection outcome. By illuminating lignin and callose within cross sections of infected P. rubens and P. glauca branches, it was revealed that P. rubens forms dense bands of cells around the cortical strands of infection. These bands form more frequently in P. rubens than in P. glauca and are of a significantly larger area in P. rubens than in P. glauca (t(8), p=0.003, p=0.005). The discovery of the exterior bands is novel and exciting, as the bands are possibly made of callose and potentially facilitate P. rubens survival against A. pusillum infection. The foundational discoveries and results of this study should inspire, and warrant, further analysis.
Are People Blaming Artificial Intelligence More or Less for Incorrect Advice? Access to this record is restricted to members of the Bowdoin community. Log in here to view.
- Restriction End Date: 2029-06-01
Date: 2024-01-01
Creator: Anh Nguyen
Access: Access restricted to the Bowdoin Community
Creating Enantioselective Peptoid Catalysts with 2-Picolylamine and 2-Picolinic Acid Catalytic Sites Access to this record is restricted to members of the Bowdoin community. Log in here to view.
Date: 2024-01-01
Creator: Devin Kathleen O’Loughlin
Access: Access restricted to the Bowdoin Community
Statistically Principled Deep Learning for SAR Image Segmentation
Date: 2024-01-01
Creator: Cassandra Goldberg
Access: Open access
- This project explores novel approaches for Synthetic Aperture Radar (SAR) image segmentation that integrate established statistical properties of SAR into deep learning models. First, Perlin Noise and Generalized Gamma distribution sampling methods were utilized to generate a synthetic dataset that effectively captures the statistical attributes of SAR data. Subsequently, deep learning segmentation architectures were developed that utilize average pooling and 1x1 convolutions to perform statistical moment computations. Finally, supervised and unsupervised disparity-based losses were incorporated into model training. The experimental outcomes yielded promising results: the synthetic dataset effectively trained deep learning models for real SAR data segmentation, the statistically-informed architectures demonstrated comparable or superior performance to benchmark models, and the unsupervised disparity-based loss facilitated the delineation of regions within the SAR data. These findings indicate that employing statistically-informed deep learning methodologies could enhance SAR image analysis, with broader implications for various remote sensing applications and the general field of computer vision. The code developed for this project can be found here: https://github.com/cgoldber/Statistically-Principled-SAR-Segmentation.git.
Selective Procedural Content Generation Using Multi-Discriminator Generative Adversarial Networks This record is embargoed.
- Embargo End Date: 2025-05-16
Date: 2024-01-01
Creator: Darien Gillespie
Access: Embargoed