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    Exploring an Online Training Program for Caregivers of Children with ASD Post-pandemic

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    Rural caregivers of children with autism spectrum disorder (ASD) face many challenges accessing support, and these challenges increased during the COVID-19 pandemic. Online parent-training programs have been proven to support caregivers of children with ASD, especially for those residing in rural areas. This is a sub-study of a pilot study that examined the effects of a web-based parent training program for caregivers of rural children with ASD post- pandemic. This sub-study used a post-intervention qualitative design to gather caregivers’ perspectives on the online intervention and compare it to resources they received prior to the pandemic. Rural caregivers of children with ASD participated in the study. Participants were invited to complete an online parent training program (Attend Behavior) for 12 weeks. After 12 weeks, participants were encouraged to provide feedback through a 1:1 interview. 7 participants completed the interview and answered questions that addressed the study’s content and their experiences in relation to the pandemic. All the participants found this program to be helpful considering the recent changes due to the COVID-19 pandemic. Many caregivers did not receive any resources prior to the pandemic and those that had resources received limited information and access due to living in a rural area. Based on these findings, the web-based parent training program, Attend Behavior, has addressed the needs of caregivers of children with ASD post- pandemic. This program can be beneficial for caregivers living in rural areas with limited access to resources and seeking support for their child with ASD.A five-year embargo was granted for this item.Academic Major: Nursin

    Exploring the Role of Depression in Emotional Prosody Recognition Deficits

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    Human Experience (The Ohio State University Denman Undergraduate Research Forum)Research suggests that those with depression may have difficulty in recognizing the emotions of others. These studies have examined this relationship using only facial expressions as stimuli to convey emotion. The current study examines how individuals with depression symptoms are able to recognize emotions by the prosody of speech. It was expected that the relationship would align with past research. Participants first completed a task in which they had to identify the emotions they heard in prerecorded, semantically neutral sentences. The emotions used included joy, sadness, anger, surprise, and neutral. Next, participants completed the PHQ-9, a tool used to assess depression symptoms. To assess the strength and direction of the linear relationship between PHQ-9 score and accuracy on the emotion identification task, a Pearson correlation analysis was conducted. Consistent with past studies, there was a statistically significant negative correlation between depression symptoms and accuracy on the prosody task. Participants who scored higher on the PHQ-9 had lower accuracy on the emotion identification task. This result suggests that depressed individuals exhibit a similar emotion recognition deficit for speech prosody as for facial expressions. However, these findings only reflect the existence of a general deficit in prosodic emotion recognition. Further research should explore potential impacts of this deficit, as well as the interaction between prosody and facial expressions.No embargoAcademic Major: Psycholog

    Green Roots Market - Innovative Food Systems for Urban Sustainability in Franklinton

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    Best in Show through IIDA, Senior Capstone Exhibition at Urban Arts SpaceGreen Roots began as a response to food insecurity in Franklinton, a Columbus neighborhood without an accessible grocery store. What started as a question—How can design become a local solution? — turned into a vision for a community-centered market that integrates urban agriculture, sustainability, and education. With a central greenhouse, on-site produce, and space for gardening workshops and learning opportunities, Green Roots aims to create a circular, sustainable grocery system that is both affordable and empowering. It's a space where design meets social impact, blending urban life with the natural world.No embargoAcademic Major: Interior Desig

    Geometrical Effects on Non-spherical Extended Systems in Strong Laser Fields

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    This work explores how cluster geometry affects ionization in strong laser fields. Using molecular dynamics simulations, spheroidal argon clusters of equal volume but varying aspect ratios were exposed to near-infrared laser pulses (800–2000 nm). Prolate clusters consistently showed higher ion energies and ionization per atom, especially when the laser polarization aligned with the semi-major axis. A peak in energy absorption at 1400 nm suggests a crossover between dipole-enhanced ionization and plasma resonance effects. These results reveal that target geometry and orientation strongly influence laser-cluster interactions, with potential applications in structural probing and laser-driven control of anisotropic systems.No embargoAcademic Major: Physic

    Resource-Efficient Discrete Fourier Transform via the Goertzel Algorithm for Continuous Wave Detection with FPGAs

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    In many digital signal processing (DSP) applications, the Discrete Fourier Transform (DFT) is used as a method of breaking down a signal into its corresponding frequency components. It is a conversion of a discretized finite-duration signal from the time domain into the frequency domain, producing a discrete power spectrum. A field-programmable gate array (FPGA) is an integrated circuit (IC) with reconfigurable internal logic. Because of their capabilities for parallel mathematical operations, FPGAs lend themselves to complex signal processing applications, and can often be a substitute for otherwise expensive, specialized hardware. Standard fast Fourier transform (FFT) algorithms often require more FPGA resources than is desirable. The Goertzel algorithm presents itself as an alternative, allowing the DFT to be cast as a type of digital filter which determines the Fourier coefficient of a single frequency. In some applications this “single-tone” DFT may not be entirely useful; however, the system benefits greatly from the filter’s minimized usage of logic elements such as registers, multipliers, and accumulators; in other words, the filter’s “hardware footprint” is far smaller than commonly used FFT alternatives, elevating it as a candidate for integration with the CoRaLS experiment.Prof. James J. Beatty, CCAPP, Cosmic Ray Lunar Sounder (CoRaLS) CollaborationNo embargoAcademic Major: PhysicsAcademic Major: Astronomy and Astrophysic

    Household Food Waste: Unassociated with Veteran Status

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    Food waste is a significant issue with environmental and economic implications. This study investigates the impact of veteran status on household food waste, hypothesizing that veteran households generate less food waste than the general population. Using data from the Ohio State/RECIPES National Household Food Waste Tracking Survey, differences in total food discard weight and waste composition between veteran and non-veteran households were analyzed. Findings indicate no statistically significant difference in overall food waste patterns between the two groups. Regression analysis reveals that income and participation in SNAP benefits are more predictive of food waste than veteran status. Additionally, attitudinal factors, such as perceptions of food waste’s ethical and national impact, influence discard behavior. Given the similarities in waste trends, we recommend that federal food waste reduction initiatives maintain a broad focus rather than tailoring interventions specifically for veteran households. Future research should explore food waste behaviors among active-duty military personnel and waste reduction strategies in military dining facilities (DFACs).No embargoAcademic Major: Agribusiness and Applied Economic

    Video Analysis of Engagement Behaviors Associated with Socially Assistive Robot Activities for Long-Term Care Residents

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    Background: People living with dementia (PLwD) who reside in long term care (LTC) have decreased social engagement and are at risk for apathy. Apathy is associated with poor health outcomes and few interventions have been tested to decrease apathy in this population. The use of socially assistive robots (SAR) may promote engagement in PLwD and decrease apathy. The aim of this study is to describe the association of SAR activity type with level of engagement in PLwD residing in LTC. Theoretical Framework: This study was guided by Cohen-Mansfield’s Comprehensive Process Model of Group Engagement. It describes the relationship between attributes of the environment, person, and stimuli and a person’s engagement level and behavior when involved in group activity. Methods: This is a sub-analysis of video data collected during a randomized clinical trial testing the effect of SAR activities on apathy. The sample consists of older adults with dementia residing in LTC in Columbus, OH and Nashville, TN. Participants were randomized to control or partnered robot activities. There were seven different robot activities with either dog (n=3) or humanoid robot (n=4). Robot sessions were recorded and coded for behavioral analysis using Noldus software. Results: The results represent 37 robot intervention sessions from 4 participants across 2 LTCs. Sessions were an average length of 39:21.89 minutes. Behavioral analysis of video data showed that the fishing activity resulted in the greatest level of positive behavioral engagement with an average of 443.74 seconds per session. The music activity was associated with the greatest level of negative behavioral engagement with an average of 143.4 seconds per session. Discussion: SAR activities were successful at promoting positive behavioral engagement. This is central to the prevention and treatment of apathy. Additionally, activities with higher levels of collaboration were more successful at eliciting positive engagement behaviors.R01AG06268501A1 - Impact of a Novel Socially Assistive Robotic Architecture on Engaging Older Adults with Mild Cognitive Impairment, Alzheimer’s Disease, and Related Dementia in Long Term Care Settings, (PI: Sarkar, Tate)A five-year embargo was granted for this item.Academic Major: Nursin

    From Homespace to Homeland: An Explanation for the Russian Invasion of Ukraine Research Thesis

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    In this thesis, I seek to understand why Russia invaded Ukraine in 2022. To answer this question, I draw on ontological security and recognition theory to analyze Russia’s relations vis-à-vis the West, NATO, and Ukraine. I conclude that since the end of the Cold War Russia has held a hubristic self-identity. Moscow believes it is a great power entitled to a sphere of influence in post-Soviet states, particularly in Ukraine. However, I argue that this quest for recognition did not necessitate a confrontational approach. I maintain that, from the 1990s to 2008, Russia embraced a homespace discourse, seeking to manage its anxiety and gain recognition through cooperation and engagement with the West. However, continued NATO expansion in spite of Russian protestations led Moscow to slowly embrace a homeland discourse, causing it to seek to isolate itself from outside threats and to take a more confrontational approach. Following the 2014 Ukraine crisis, tensions continued to build until Russia fully embraced homeland discourse. Moscow no longer believed that cooperation would lead to recognition of its hubristic identity. Rather, the Kremlin believed that only violence could bring about Western recognition of Russia’s great power identity. Therefore, the invasion of Ukraine is an attempt by Russia to gain recognition for its hubristic identity as a great power by asserting its sphere of influence over Kyiv. Additionally, the findings of this thesis provide a more salient explanation for the current Russia-Ukraine war than other explanations.No embargoAcademic Major: Political ScienceAcademic Major: PhilosophyAcademic Major: Arabi

    The Fifth Annual James R. Wright, Jr., MD, PhD Lecture

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    2025 James R. Wright, Jr., MD, PhD Lecture, "Residency Training in the United States: Past, Present, Future", featuring Kenneth Ludmerer, MD, Professor of History and Medicine, Mabel Dorn Reeder Distinguished Professor in the History of Medicine, Washington University in St. Louis, April 10, 2025, Prior Hall, Room 550, The Ohio State University Medical Center Campus, Columbus, Ohio.This presentation discusses the origins and evolution of the residency system in U.S. medical education. Residency training is presented in both its educational and cultural context, and the relationship between the quality of residency training and the quality of patient care is described. The talk concludes with a discussion of current issues and dilemmas in residency training

    Understanding the influence of early life growth on subsequent growth and body size in juvenile Lake Erie Yellow Perch

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    Multiple hypotheses from marine ecosystems suggest that fast early life growth can enhance future growth and recruitment, yet their applicability to freshwater ecosystems is unclear. While some studies in freshwater systems have shown support for these hypotheses, others report mixed or non-significant effects, highlighting the need for more research in freshwater populations. Such knowledge could help us understand growth and recruitment variation in populations. Toward this end, we investigated the influence of early life (first four weeks of life) growth on growth performance during subsequent weeks of life and individual length-at-capture in age-0 (juvenile) Yellow Perch (Perca flavescens) collected in central Lake Erie, where strong recruitment events have been absent since 2012. We measured otolith growth rates in 30 individuals per year collected during fall 2010 and 2018 from management units 2 and 3 (MU2 and MU3) in central Lake Erie. We expected to find positive relationships between early life growth rate and subsequent weekly growth rates, as well as juvenile Yellow Perch length-at capture in the fall. As expected, we found that average daily growth rates during the first two weeks of life were strongly correlated; however, the influence of any given week’s growth on subsequent weeks declined through time, with significant effects disappearing after about 6 weeks. Unexpectedly, we also found no relationship between growth rate during the first four weeks of life and juvenile length-at-capture. Collectively, these findings indicate that the effects of early life (e.g., larval) growth rate can carry over (linger) but only for a limited period. Further, they highlight the need for comparative studies between growth rates in the central basin – where recruitment has been declining – and other Lake Erie basins where it has remained stable. Such studies could help place our central basin growth rates in perspective (e.g., perhaps they are low compared to the west basin) and allow for relationships between the annual early life growth rate and annual recruitment success to be more fully explored.No embargoAcademic Major: Evolution and Ecolog

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