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Development and evaluation of numerical models of an aircraft seat assembly and occupant for the simulation of dynamic certification tests
No full textThis is an open access article under the CC BY license.The use of numerical simulation presents an opportunity for advancements in aircraft seat design while upholding rigorous safety standards. This study is focused on the development of three numerical models for simulating dynamic tests to certify aircraft seats, including a simplified Multibody model, a Multibody model with plastic hinges and a Finite Element model. The accuracy of these models was assessed by comparing simulation results with experimental measurements. The findings indicate that these models have the potential to serve as valuable tools for designing and enhancing aircraft seat configurations as well as streamlining the certification process. Providing accurate results with low computational time, Multibody models serve as an efficient and cost-effective approach for assessing seat performance while emphasizing occupant safety. © 2025 The Author
Episode 32. Justin Rorabaugh – Shocker Studios and the School of Digital Arts
No full textThe School of Digital Arts (SODA) in the College of Fine Arts is one of the fastest growing schools at Wichita State. Justin Rorabaugh, director for SODA joins President Rick Muma to talk about Shocker Studios and some of SODA’s unique offerings in degree programs, applied learning, new technologies, partnerships and infrastructure.The “Forward Together” podcast celebrates the vision and mission of Wichita State University. In each episode, President Rick Muma will talk with guests from throughout Shocker Nation to highlight the people and priorities that guide WSU on its road to becoming an essential educational, cultural, and economic driver for Kansas and the greater good
DEXA assessment effects on body image and physical activity changes in young adults
No full textPresented to the 24th Undergraduate Research and Creative Activity Forum (URCAF) held in Woolsey Hall, Wichita State University, April 25, 2025.In recent years, there has been a heightened awareness around young adults and body image perception. The interaction between body image, physical activity level, and the use of technology has compelled the attention of today's researchers and medical professionals. However, the majority of literature focuses on an individual's Body Mass Index (BMI) rather than measures of body composition. The purpose of this study is to determine differences in an individual's body image perception and changes in physical activity level following a Dual Energy X-ray Absorptiometry (DEXA) assessment. A total of 40 healthy young adults, 18-30 years of age, will be sought to participate. Participants will complete a series of surveys throughout 6 weeks collecting data on demographics, body composition, physical activity, emotional state, and personal body image perception. A Garmin smartwatch will be fitted during the initial session and biometrics (I.e. steps, heart rate variability, minutes of physical activity, quality and hours of sleep) will be recorded for the duration of the 6-week study. Each participant will complete one DEXA assessment a week after the initial session. Descriptive statistics along with a Repeated-Measures ANOVA will be administered at a p< 0.05 to determine any significant differences in psychological and physical behavior. Post-hoc analysis will be administered, if applicable. Current literature suggests that receiving personalized body composition data may influence health-related behaviors and self-perception. It is anticipated that participants may increase their physical activity following the DEXA assessment, regardless of whether their results indicate a high or low body fat percentage. For individuals with initially low body image perception, unfavorable DEXA results may lead to greater body dissatisfaction. Conversely, those with more favorable results may experience improved body image and motivation for continued physical activity
An upper bound for the first nonzero Steklov eigenvalue
No full textThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).Let (Mn, g) be a complete simply connected n-dimensional Riemannian manifold with curvature bounds Sectg g < κ for κ < 0 and Ricg g (n - 1)Kg for K < 0. We prove that for any bounded domain Ω ⊂ Mn with diameter d and Lipschitz boundary, if Ω∗ is a geodesic ball in the simply connected space form with constant sectional curvature κ enclosing the same volume as Ω, then σ1(Ω) < Cσ1(Ωz.ast;), where σ1(Ω) and σ1(Ω∗) denote the first nonzero Steklov eigenvalues of Ω and Ω∗ respectively, and C = C(n, κ,K, d) is an explicit constant. When κ = K, we have C = 1 and recover the Brock-Weinstock inequality, asserting that geodesic balls uniquely maximize the first nonzero Steklov eigenvalue among domains of the same volume, in Euclidean space and the hyperbolic space. © The authors. Published by EDP Sciences, SMAI 2025
Department of Dental Hygiene Class of 2012
No full textFirst row (left to right): Frances Reichmuth, SADHA President; Kelli Callison, SADHA Secretary; Megan Jenish, SADHA Class Representative; Courtny Wymer, SADHA Class RepresentativeSecond row (left to right): Whitney Bohrn, Shelly Burke, Melissa Butts, Jennifer Davis, Meg DeBord, Stephanie Decker, Krista English, Beverly Gilbert, Mackenzie Gottsponer, Kristen HagerThird row (left to right): Casi Herman, Michelle Holford, Jessie Hutchins, Shelli Leiker Mary Marshall, Leah McConico, Chelsey Miller, Amanda Mohr, Bethany Murray, Julie NashFourth row (left to right): Hayley Pham, Yona Rasynouvong, Amanda Rogers, Kelli Schmidt, Haley Schrag, Laura Sooter, Renee Stout, Jean Xayavongsy, Rose ZimmermanDigitized by University Libraries' Technical Services Institutional Repository & Digitization group.Personal and non-profit use only
Testing the psychometric properties of the readiness for hospital discharge scale among residents in skilled nursing facilities: A pilot study
No full textClick on the DOI link to access this article at the publishers website (may not be free).Background and Purpose: The Readiness for Hospital Discharge Scale (RHDS) was created to determine the patient's readiness for discharge to home from the hospital. The purpose of this study is to determine the scale's internal consistency and predictive validity in a skilled nursing facility (SNF) setting. Methods: Participants (N = 30) over the age of 65 were conveniently selected from 10 different SNFs in the Midwest to complete the RHDS prior to discharge. Results: Cronbach's alpha for internal consistency was .917. Participants with higher RHDS scores, those who were male, respondents with less education, and participants with Medicare Advantage insurance were more likely to be rehospitalized within 30 days of discharge to home. Conclusions: The results indicate that the RHDS has a good internal consistency in the SNF setting
Supersonic turbulent flow over an expansion-compression corner using large eddy simulation
No full textThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).This paper will examine the capability of Large Eddy Simulation with the newly introduced recycling-rescaling method named Ht&p in predicting the flowfield over an expansion compression corner at Mach 3 and 4 and expansion angles of 8, 25, and 45 degrees. A separate Large Eddy Simulation over a flat plate was performed to calculate the dynamic turbulent inflow conditions. The generated turbulent flow at the averaging station matches the experimental data before the flow reaches the expansion corner and the displacement and momentum thicknesses are accurately predicted. The calculated averaged surface pressure at the centerline of the expansion-compression corner and the static pressure profiles at several locations in the flowfield are in agreement with the experimental data
The impact of fiscal policy on housing in the U.S.
No full textTheory and empirical evidence have provided contradictory predictions and findings on the impact of government spending on housing investment and home values. Previous empirical studies have employed vector-autoregressions. Given the deficiencies of VARs, we utilize local linear projections. In addition, we directly compare the impact of government spending on both housing investment (residential investment, permits, sales, housing starts) and non-residential investment. We find fiscal expansion leads to unambiguously greater crowding out of housing activity than for non-housing investment. Moreover, housing is more sensitive to monetary policy than non-residential investment. Thus, housing appears more sensitive to policy shocks than non-housing capital spending. In contrast to housing investment, home prices, while reacting negatively to government spending shocks, don’t exhibit the magnitude of the reaction of housing, or even non-housing investment. This likely reflects the sticky nature of house prices, with falling purchases leading to greater “time on market” more than falling prices
Calcium carbonate nanoparticle-reinforced rubber: Enhancing dynamic mechanical performance and thermal properties
No full textThis is an open access article under the CC BY license.This comprehensive study investigates the effects of unique calcium carbonate (CaCO3) nanoparticle-reinforced natural rubber (NR) and styrene-butadiene rubber (SBR) composite structures for long-lasting tire tread applications. Employing advanced techniques such as stearic acid surface modification and dual-solvent dispersion with toluene and W410 solvent, the research primarily focuses on enhancing tire performance attributes, including handling, wet-skid resistance, rolling resistance, stability, responsiveness, traction, dimensional stability, fuel efficiency, durability, and tread lifespan. Dynamic mechanical analysis (DMA) tests were conducted to measure the viscoelastic properties of the rubber compounds, including storage modulus, loss modulus, glass transition temperature (Tg), and peak tan δ values. Test results showed that the use of W410 and the surface-modified method could positively impact various properties, leading to improved tire strength and performance. Incorporation of the toluene solvent in the dispersion process restricted the mobility of the polymer chains, leading to a higher Tg, while the use of the W410 solvent in the tire compound formulation reduced interfacial friction and resulted in a lower peak tan δ. Additionally, thermogravimetric analysis (TGA) tests showed that the toluene dispersion method provided a higher peak decomposition temperature (Tp), while the W410 solvent dispersion method offered a lower maximum rate of mass reduction and a higher percentage of remaining mass at 660 °C. These findings highlight the major advantages of using these new approaches, including enhanced heat resistance, improved durability and safety, and extended tire lifespan in harsh conditions. © The Author
Analysis of tweets with #Covid19Vaccine surrounding the period of COVID-19 vaccine availability
No full textPublished in SOAR: Shocker Open Access Repository by the Wichita State University Libraries Technical Services, August 2025.Copyright of the Journal of Management and Engineering Integration is the property of the Association of Industry, Engineering and Management Systems Inc., and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.This study analyzes public sentiment towards COVID-19 vaccines by focusing on Tweets containing the '#Covid19Vaccine' hashtag from October 2020 to April 2021. Out of the 108,025 Tweets collected, 103,210 were analyzed post-preprocessing. The study employs descriptive analysis, a Lexicon-based approach for Sentiment Analysis, and Latent Dirichlet Allocation (LDA) and K-Means clustering for Topic Modeling. The findings highlight significant public interest and media coverage of Pfizer and Moderna vaccines. The frequency of Tweets increasing after the release of the COVID-19 vaccine, compared to before, could be due to heightened public discourse and engagement on the vaccine's efficacy, distribution, and reception, as people shared information, experiences, and opinions on this significant development. The Sentiment Analysis showed a notable negative sentiment during the second week of October 2020. This stands out in contrast to other weeks, suggesting a specific event may have influenced the public mood. Topic Modeling results offer a comprehensive view of the public discourse, showcasing the challenges and successes encountered in the vaccination process. Consequently, this study recommends clear, evidence based communication and proactive engagement by health authorities and pharmaceutical companies to effectively manage public sentiment and foster trust during health crises like COVID-19