Tropes Trump Politics

This critical essay examines the use of tropes and themes in modern comic books and how they are used to protest President Donald Trump’s policies, actions and supporters. It begins with a detailed history of tropes used in comic books and how some of the first superhero comic book writers created these tropes in order to protest the social injustices of their times. It shifts to the first trope, the “compromised hero” where a hero is turned evil. It is used in “Secret Empire,” a book where Captain America turns evil and takes over the presidency. His rise to power mirrors Trump’s. Then, in the pages of “Aquaman,” the titular hero has a “loss of power.” His abdication from the throne of the mythical land of Atlantis and the new ruler’s rise to power is also symbolic of Trump’s polices and the election of 2016. Finally, new themes based on American women’s reactions to Donald Trump’s policies and comments sprang up during and after the 2016 election in the pages of “Moon Girl and Devil Dinosaur” and “The Unstoppable Wasp.” The full capstone can be found at this address: http://www.aaronjberkowitz.com/pageone/index.htm

Western Adoption of Ancient Egyptian Art and the Narratives it Perpetuates

Ever since Napoleon’s late eighteenth-century conquest of Egypt, Western collectors, both institutional and private, have looked upon its ancient material culture with admiration and desire. Acquisitions were robust throughout the brief French occupation and subsequent British occupation of Egypt nearly a century later. This project is concerned with Western acquisitions of Egyptian art and architecture, large-scale in both quantity and size, that were collected by many museums, and the way in which they were employed to facilitate a narrative of ancient Egypt in relation to the West. In particular, this study will address the Metropolitan Museum of Art’s exhibition of its Egyptian collections, specifically the gallery devoted to the grand Temple of Dendur. Through analysis of this exhibition and its display I will show how this narrative is developed and communicated within the museum’s galleries. Central to my interest is furthering an understanding of how museums participate in shaping popular perceptions of ourselves in relation to the world around us. With these exhibitions, the West co-opted ancient Egypt in its own narrative of Western Civilization, while simultaneously proclaiming themselves as inheritors of this now-fallen civilization. Institutions like the Metropolitan Museum implicitly assert an impression of dominance of modern Western culture, in an attempt to rewrite history and forever alter the future.https://orb.binghamton.edu/research_days_posters_2021/1000/thumbnail.jp

Neurenteric cyst at the dorsal craniocervical junction in a child: Case report

Neurenteric cysts, also known as enterogenous cysts, are uncommon, benign, congenital lesions that usually occur in the posterior mediastinum but can be seen at any level of the neuraxis. Here, we report a pediatric patient with a neurenteric cyst in the dorsal craniocervical junction as the only third reported pediatric case in the literature in this rare location, and describe the clinical course and pathologic findings with a review of the literature on this rare entity

A Comparison of Neural Decoding Methods and Population Coding Across Thalamo-Cortical Head Direction Cells

Head direction (HD) cells, which fire action potentials whenever an animal points its head in a particular direction, are thought to subserve the animal’s sense of spatial orientation. HD cells are found prominently in several thalamo-cortical regions including anterior thalamic nuclei, postsubiculum, medial entorhinal cortex, parasubiculum, and the parietal cortex. While a number of methods in neural decoding have been developed to assess the dynamics of spatial signals within thalamo-cortical regions, studies conducting a quantitative comparison of machine learning and statistical model-based decoding methods on HD cell activity are currently lacking. Here, we compare statistical model-based and machine learning approaches by assessing decoding accuracy and evaluate variables that contribute to population coding across thalamo-cortical HD cells

Detailed analysis of excited state systematics in a lattice QCD calculation of gAg_A

Excited state contamination remains one of the most challenging sources of systematic uncertainty to control in lattice QCD calculations of nucleon matrix elements and form factors. Most lattice QCD collaborations advocate for the use of high-statistics calculations at large time separations ($t_{\rm sep}\gtrsim1$ fm) to combat the signal-to-noise degradation. In this work we demonstrate that, for the nucleon axial charge, $g_A$, the alternative strategy of utilizing a large number of relatively low-statistics calculations at short to medium time separations ($0.2\lesssim t_{\rm sep}\lesssim1$ fm), combined with a multi-state analysis, provides a more robust and economical method of quantifying and controlling the excited state systematic uncertainty, including correlated late-time fluctuations that may bias the ground state. We show that two classes of excited states largely cancel in the ratio of the three-point to two-point functions, leaving the third class, the transition matrix elements, as the dominant source of contamination. On an $m_\pi\approx310$ MeV ensemble, we observe the expected exponential suppression of excited state contamination in the Feynman-Hellmann correlation function relative to the standard three-point function; the excited states of the regular three-point function reduce to the 1% level for $t_{\rm sep} >2$ fm while, for the Feynman-Hellmann correlation function, they are suppressed to 1% at $t_{\rm sep}\approx1$ fm. Independent analyses of the three-point and Feynman-Hellmann correlators yield consistent results for the ground state. However, a combined analysis allows for a more detailed and robust understanding of the excited state contamination, improving the demonstration that the ground state parameters are stable against variations in the excited state model, the number of excited states, and the truncation of early-time or late-time numerical data.Comment: v1: 13 pages plus appendices. The correlation function data and analysis code accompanying this publication can be accessed at this github repository: https://github.com/callat-qcd/project_fh_vs_3p

Changes in an Enzyme Ensemble During Catalysis Observed by High Resolution XFEL Crystallography

Enzymes populate ensembles of structures with intrinsically different catalytic proficiencies that are difficult to experimentally characterize. We use time-resolved mix-and-inject serial crystallography (MISC) at an X-ray free electron laser (XFEL) to observe catalysis in a designed mutant (G150T) isocyanide hydratase (ICH) enzyme that enhances sampling of important minor conformations. The active site exists in a mixture of conformations and formation of the thioimidate catalytic intermediate selects for catalytically competent substates. A prior proposal for active site cysteine charge-coupled conformational changes in ICH is validated by determining structures of the enzyme over a range of pH values. A combination of large molecular dynamics simulations of the enzyme in crystallo and timeresolved electron density maps shows that ionization of the general acid Asp17 during catalysis causes additional conformational changes that propagate across the dimer interface, connecting the two active sites. These ionization-linked changes in the ICH conformational ensemble permit water to enter the active site in a location that is poised for intermediate hydrolysis. ICH exhibits a tight coupling between ionization of active site residues and catalysis-activated protein motions, exemplifying a mechanism of electrostatic control of enzyme dynamics

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts