62021 research outputs found
Sort by
CIL 6.39454 – Epitaph for M. Valerius [Mo]?ma, a soldier, Augustan/Tiberian era
No full textSqueezes and photograph
Genetic diversity and dissemination strategies in Xanthomonas translucens pv. translucens populations
Get PDFXanthomonas translucens, the bacterium responsible for Bacterial Leaf Blight (BLB) in barley, is a reemerging pathogen growing in concern for barley production in North America. Phylogenetic research has exposed the intricate genetic diversity within Xanthomonas translucens pv. translucens classifying it into three subgroups: K0, K1, and K2. However, there is a knowledge gap regarding the distribution of the subgroups within the population. According to studies in the 1980s, X. translucens pv. translucens possesses ice nucleation activity (INA), which plays an important role in bacterial dispersal, particularly through cloud systems and precipitation. Ice-nucleating proteins like InaZ, allow bacteria to act as ice crystal centers in supercooled water droplets within clouds, enabling long-distance dispersal via atmospheric processes and precipitation. Early evidence suggests that the K0 subgroup of X. translucens pv. translucens exhibits disruptions in their INA, restricting transmission to local regions rather than long-range dispersal through aerial systems. To assess the distribution of X. translucens pv. translucens subgroups and INA positive and negative variants within the population, a systematic survey was conducted. Barley leaf samples displaying BLB symptoms were collected from Idaho barley fields during the summers of 2022 and 2023. X. translucens pv. translucens isolates were successfully obtained and typed into genetic subgroups using a novel multiplex Polymerase Chain Reaction (PCR) through this effort. The project had a two-fold objective: firstly, to investigate the population dynamics between the two seasons of isolation, and secondly, to examine the distribution of INA across subgroups within this population. Understanding the population distributions of X. translucens pv. translucens and their corresponding dissemination strategies can provide insight into the evolutionary history of this pathogen alongside the factors driving its dispersal and adaptation.Molson Coors Beverage CompanyNo embargoAcademic Major: Molecular Genetic
CIL 6.20171 – Epitaph of C. Iulius Palleus, a freedman, set up by his illegitimate son, 1st-2nd century CE
No full textPhotograph
ANALYZING THE EFFECT OF WORLD TRADE ORGANIZATION DISPUTES ON SPECIFIC MARKETS AND INDUSTRIES
Get PDFDepartment of Economics, 2023 Undergraduate Poster Forum awardHow effective are World Trade Organization (WTO) dispute settlements? This paper presupposes that the WTO, in its current form, is not effective enough to be regularly used when trade disputes occur between nations. For urgent matters, it is often more favorable for nations to implement sanctions or tariffs which promptly address trade disputes. Case in point is the use of U.S. tariffs imposed on China for dumping low-cost goods in the U.S. or how NATO countries are now dealing with Russia regarding gas exports. While the use of tariffs and sanctions have researched results, evaluating the impact of WTO dispute settlements measured using stock market price levels remains relatively unexplored. This paper uses an event study model to find that industry stock prices for both complainants (member countries who initialize a case) and respondents (member countries who are facing a judgement from WTO judges) do not receive any significant effects from WTO policy during the entire period that the dispute takes place. Moreover, these findings are reinforced after performing two variations of a Bayesian hierarchical model. The results will contribute to future research on the impact of trade tensions between nations and the challenges facing the WTO’s dispute settlement system.No embargoAcademic Major: EconomicsAcademic Major: Chines
Redesigning Car Mats to Reduse Strain When Unloading
No full textVehicles are an important part of most people’s lives in America. We use them to travel, explore, and transport items all the time. But sometimes objects are difficult to unpack. Everyday items like packs of cases of water, boxes, or even a new TV. People can overexert themselves and strain their muscles if not using proper techniques when lifting or grabbing items.
The Glide Mat is a product designed to keep that in mind. This design was created in partnership with Honda to design a new product for their vehicles, with the idea of assisting users with grocery shopping. This design is currently conceptualized in their 2023 Passport and Acura TLX Models. The Glide Mat is one part of the Honda Grocery Assist, which includes 3 other designs also meant to assist users in other parts of the shopping experience. This design focuses on the loading and unloading process. The design is a trunk liner that has over 300 rollers in place to help glide heavier items around the trunk to assist in unloading. From my initial research and user testing participants noted that heavy items were difficult to load and unload from their vehicles, often noting back or arm strain because of pushing and pulling. The purpose of this product is to reduce the amount of back and arm strain one might have pulling items from the car. Allowing them to safely bring it to a place where they can ground themselves to unload without exhaustion by just trying to unload.
The Glide Mat's roller mechanism is activated with a switch on the left front side. Once activated, it will alleviate some of the strain of pushing and pulling items by allowing one to easily move items across the trunk's floor, and place them in a position close to their body in order to ground themselves for easier lifting. To stop items from moving while in transit simply flip the switch off to stop the rollers from moving. This design is multifunctional, being able to be used for not only groceries, but also other heavy items such as when traveling, moving materials for home improvement, tailgating, or even camping.HondaNo embargoAcademic Major: Industrial Desig
Relationship of Salivary IL-6 and DHEA-S Levels to Response to Mindfulness-Based Interventions in Posttraumatic Stress Disorder
Get PDFPosttraumatic stress disorder (PTSD) is a chronic psychiatric disorder associated with notable intrusive cognitive patterns following the experience of a life-threatening stressor. Conventional treatments for PTSD involve prolonged exposure to reminders of trauma and face challenges such as high dropout rates and treatment-refractory cases, causing the present pilot study to investigate the efficacy of an emerging mindfulness-based treatment for PTSD and search for promising biomarkers that may predict positive treatment response. The goal of the present study is to contribute to current efforts seeking to specialize psychiatric treatment through the discovery of positive treatment response predictors, eliminating one-size-fits-all treatment. Participants were 20 individuals who met DSM-5 criteria for PTSD or endorsed experiencing chronic stress. Saliva samples were collected before and after mindfulness-based cognitive therapy (MBCT) to assess levels of biomarkers, interleukin-6 (IL-6) and dehydroepiandrosterone-sulfate (DHEA-S). Analyses revealed significant reductions in PTSD symptom severity following the MBCT intervention, as well as respective positive correlations between IL-6 levels and pre-intervention CAPS-5 scores and DHEA-S levels and post-intervention CAPS-5 scores. These findings suggest complex biomarker responses to PTSD symptom reduction, allowing us to speculate about how we define resilience and success in treatment. Furthermore, the results of the present study may illuminate physiological pathways of action used by MBCT to reduce intrusive cognitive patterns. Future studies examining the neurobiological mechanisms of trauma-focused MBCT with additional biomarker collection time points throughout treatment will be indispensable to understanding how mindfulness-based therapy skills improve symptoms phenotypically and biologically and whether these coping strategies work for all subsets of patients.Undergraduate Research Apprenticeship ProgramCareer Accelerator FundNo embargoAcademic Major: PsychologyAcademic Major: Molecular Genetic
Hot Topics in the House: The Formation and Importance of Congressional Speech Networks
No full textDomestic and International Relations (The Ohio State University Denman Undergraduate
Research Forum)Congressional speeches drive policymaking and political debate at the national level. As a crucial method of communication, these speeches directly reflect legislators’ political agendas and serve as a vehicle by which members of Congress can convey their political priorities and advocate for important issues. Prior to technological advances that made modern natural language processing methods computationally feasible, survey data and analysis of behavior in strategic settings (i.e. legislative roll-call voting) were used to analyze congress members' policy positions and social networks. However, both of these approaches lead to methodological conflicts; new surveys cannot capture past information and represent but a small snapshot of the present, while institutional rules constrain roll-call analysis. Congressional speeches, on the other hand, are less constrained by institutional rules and capture information over a period of time, thus providing a much deeper view into the positions, ideologies, and rhetorical relationships of members of Congress. Previous work applied well known natural language processing methods to determine the level of rhetorical similarity between speeches contained in the Congressional Record from 1981 to 2017, developing relational networks between members of Congress based on these similarities. These networks illuminated the lexical similarities between legislators, the links between rhetorical relationships, partisanship, and legislative effectiveness, and how rhetorical trends developed over three and a half decades. However, more work is needed to illuminate factors that contribute to the similarities in congressional speech that form the basis for network connections. This project extends previous work through the application of exponential random graph models to congressional speech networks, allowing for statistical analysis of the impact of various endogenous structural effects and exogenous covariates on the formation of congressional speech networks over time. Analyzing factors that contribute to the formation of network ties in each Congress provides significant insights into the evolution of relationships over time as well as the underlying dynamics and trends driving legislators’ rhetorical relationships. These insights improve our understanding of social ties in Congress and could even be used to inform strategies that aim to facilitate more effective political discourse and lawmaking in Congress.Arts and Sciences Undergraduate Research ScholarshipNo embargoAcademic Major: Political ScienceAcademic Major: Statistic
