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Relationship Between Genotype and Disease Phenotype for Gluten-Related Disorders
We investigated gluten-related disorders (GRD) in intestinal biopsy-proven subjects to determine the relation between genotype (i.e., Human Leukocyte Antigen (HLA) DQ alleles) and phenotype (i.e., antibody levels and clearly defined symptoms). Subjects had known DQ genotypes, information on IgA anti-Endomysial antibodies (EMA) and/or anti-tissue Trans Glutaminase (tTG) antibodies (tTGA). Subjects also answered a survey characterizing gastrointestinal, skin, and neural symptoms. Though all were biopsy-proven, HLA genotypes included all combinations of DQ2.5, DQ2.2, DQ8, DQ7.5, DQ5, and DQ6. Subject antibody levels were proportional to the number of DQ2.5 haplotypes, and subjects with non-CD-associated haplotypes did not have positive antibody scores (despite positive biopsy). In addition, the total number of GRD-associated symptoms were approximately the same across all genotypes. The results suggest that gluten damage and symptoms are independent of genotype; i.e., not restricted to people with DQ2.5, DQ2.2, or DQ8 genotypes or to those with positive antibody scores. We propose a GRD classification in which clinicians consider GRD symptoms and signs even in people without CD-associated genotypes, as these likely make up the majority of those with gluten-related disorders
Linfield and Lady Liberty
Linfield and Lady Liberty, taken by JJ Anderson on the Linfield University Semester Abroad Program in France. 3rd place, Judges division, in the 2024 Linfield University Study Abroad Photo Contest.https://digitalcommons.linfield.edu/intl_photos2024/1002/thumbnail.jp
Who Wrote It? Comparing Attitudes About AI v. Human Written News
Artificial intelligence is quickly becoming a part of our everyday life. With the rapid growth of AI generation technology, and easy public access, we\u27re starting to see AI content show up in video, audio, and photo content. Reception of AI is mixed, and there are many topics that are bringing questionable AI usage to light. Trusted news organizations, like the Associate Press and Gannett, have already begun to experiment with the idea of AI written news stories. It has not been received without backlash. Companies have utilized AI for many years now, with anthropomorphized AI like Siri and Alexa being well known and a part of everyday life. Studies have been conducted on the possible comforts of a more ‘human-like’ system, but there have been no specific articles on AI news writing. To further our understanding, we want to start asking as many questions as possible. Do news consumers want AI generated news? Will they trust it? Do consumers even care if it’s AI at all? These questions and more were developed from a literature review to help with the initial examination. Results from this study will be utilized as a stepping stone towards broader research regarding this issue
Māori Culture From the Eyes Of An American
While still in the midst of their study abroad experiences, students at Linfield University write reflective essays. Their essays address issues of cultural similarity and difference, compare lifestyles, mores, norms, and habits between their host countries and home, and examine changes in perceptions about their host countries and the United States. In this essay, Katelyn Cederburg describes observations during their study abroad program at Waikato University in Hamilton, New Zealand
Ecosystem Dynamics: Unraveling the Relationship between Lamprey Sex Ratios & Resource Availability of Salmon
This January, we competed in a math modeling competition this the goal of uncovering what lampreys, a parasitic species who can change their sex ration based on resources, could do to an ecosystem left alone. In our research we found that lampreys could wipe out an entire salmon population using a dynamical systems model with linear algebra. While having some pros to an ecosystem such as food for other species, aquatic life would very quickly die out because of lampreys birth rate and consumption rate with our models
Investigating the Connectedness of a Gorbonos Insect Swarm
Insect swarms exhibit collective behaviors that emerge from the interactions between individual insects. In midges, these interactions are thought to be governed by long-range acoustic signals from other insects in the swarm. A model developed by Gorbonos et al. adds the long-range acoustic behavior into an equation of motion to describe the midge swarm dynamics. This research expands on Gorbonos\u27 model by considering various subsets of insect-insect interactions, and investigates how diffusion and polarization parameters vary with the number of interactions