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Applying model-based systems engineering models for enhancing operational excellence
No full textPublished in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, November 2025. 2025 IEMS Officers: Gamal Weheba (Conference Chair); Hesham Mahgoub (Program Chair); Dalia Mahgoub (Technical Director); Ed Sawan (Publications Editor); Wilfredo Moscoso (Proceedings Editor); Abdulaziz G. Abdulaziz (Associate Editor)Model-Based Systems Engineering is becoming more common in systems design efforts. These tools were derived originally from the Unified Modeling Language borrowed from the information systems development toolkit. The SysML models are those most commonly used for modeling and designing systems. Systems Engineering tools can provide the view of the system, the scope of the processes to be improved and standardize models to design, improve and automate processes within Operational Excellence programs. Basic systems engineering tools including SIPOC, Value Chain, Functional Decomposition Diagram, and Process Architecture Maps will be described. Two advanced systems engineering models from the SysML models will be described, use case and activity diagrams. Examples from a hospital's emergency services system will be provided. The basic and advanced models can standardize and improve the organization's operational excellence program
Cyberbullying victimization and sexual identity: psychological and behavioral outcomes among college students
No full textClick on the DOI link to access this article at the publishers website (may not be free).By applying general strain theory, the current study was designed to examine the influence of cyberbullying victimization on psychosocial and behavioral outcomes of sexual minority college students. Little research has examined the role of cyberbullying victimization in understanding its influence on depression, substance use, and suicidal thoughts/attempts among sexual minority college students. Using online survey research, data were collected for 317 college students ages 18 to 24 + years (26.2% homosexual and 73.8% heterosexual) from two universities in the Midwest and the South-Central regions of the United States. Structural equation modeling indicated that sexual minority status was related to increased risk for higher levels of depression but not levels of substance abuse or suicidal thoughts/behaviors. Also, sexual minority students who suffer cyberbullying victimization are more likely to be at risk for depression and substance use. These findings have implications for educators and administrators working to reduce psychosocial and behavioral outcomes among sexual minority college students who have been victims of cyberbullying. © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2025
Faculty Senate Meeting, August 25, 2025
No full textAgenda: (Approval of Minutes): May 12, 2025 -- (President’s Report) / Christopher Stone: Updates and priorities for AY26 -- (New Business): Introduce new faculty / Deans -- Open discussion of updates and priorities for AY26 / Christopher Stone -- Update on faculty pay / Provost Monica Lounsber
Comparative analysis of bone mineral density among adults of different ethnicities
No full textPresented to the 21st Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Rhatigan Student Center, Wichita State University, April 11, 2025.Research completed in the Department of Human Performance Studies, College of Applied Studies.INTRODUCTION: Dual-energy X-ray absorptiometry (DEXA) provides the ability to measure total body bone mineral density (BMD) in humans. Previous studies suggest that BMD varies between racial and ethnic populations but the extent to which differences exist remains unknown.
PURPOSE: The purpose of this study is to compare BMD and Z-Scores (number of standard deviations away from average BMD value for age and sex) among adults in four different racial and ethnic categories.
METHODS: This retrospective study used an existing database of DEXA tests conducted at Wichita State University. Files were randomly selected until 25 males and 25 females, aged 18-45 years, were identified in each of four categories: Asian, Black, Hispanic and White. Age, BMD and Z-score data for these 200 individuals were retrieved and compared using one-way ANOVA and post hoc Bonferroni correction.
RESULTS: Overall mean age was 27.2 ± 7.8 (mean ± SD) years with no differences (p>0.05) between groups. BMD was lower (P<0.001) in Asians (1.105 ± 0.11 g/cm3) compared to Blacks (1.255 ± 0.13 g/cm3), Hispanics (1.199 ± 0.12 g/cm3) and Whites (1.207 ± 0.12 g/cm3). Z-scores were also lower (P<0.001) in Asians (-0.522 ± 1.19 g/cm3) compared to Blacks (0.294 ± 1.08 g/cm3), Hispanics (0.760 ± 1.00 g/cm3) and Whites (0.538 ± 1.06 g/cm3). BMD and Z-scores were not different between Blacks, Hispanics and Whites.
CONCLUSION: Asians exhibited lower BMD and Z-scores compared to other racial and ethnic groups. Further investigations may provide insight into the underlying factors contributing to these differences in bone health.Graduate School, Academic Affairs, University Librarie
Forward Together: A monthly newsletter, October 2025
No full textWichita State breaks records as it breaks barriers -- ('Forward Together' podcast): Episode 36: Coaches Chris Lamb and Terry Nooner -- Episode 37: Men's basketball coach Paul Mills -- Enrollment surges to historic high at Wichita State with more than 25,000 students -- Wichita State students earn record $39.2 million in paid internships, fueling Kansas’ talent pipeline -- WSU announces Shocker Support Locker renaming, awards outstanding alumni -- Four Wichita State faculty and staff honored as Kansas Board of Regents awardees -- Provost Lounsbery elected as president of National Academy of Kinesiology -- President Muma recognized with Change Maker Award from EAB -- Wang, Roselli win American Conference doubles title for Shocker women's tennis -- Wichita Biomedical Campus interior and exterior take shape as construction continues -- Basketball season is right around the corner for Shocker Nation -- 'Tech Talk' podcast: President Muma on innovation and the future of higher education -- Aging-simulation suit puts WSU physical therapy students into patients’ shoe
The challenge of restoring grassland legumes: Testing the role of spatial patterns of seed arrival
No full textThesis (M.S.)-- Wichita State University, College of Liberal Arts and Sciences, Dept. of Biological SciencesLegumes are vital to grassland function, and are often under-represented in modern grasslands compared to historic observations. We hypothesized some legume species will have greater establishment and persistence under conspecific seeding, and the advantage of conspecific seed arrival will decrease with seed size. We utilized a grassland; community assembly experiment located in south-central Kansas to test the role of conspecific and heterospecific seed arrival treatments that were crossed with soil manipulations (Homogenous and Heterogenous) and scale treatments (large and small patches). We quantified establishment and persistence of 11 native legumes from 2018-2024 using plant cover. Generalized linear mixed models (GLMMs) were used to test for effects on total legume cover within experimental plots and individual species. Results showed limited support for some species performing better under conspecifics than heterospecific seed arrival. Amorpha canescens and Chamaecrista fasciculata had higher cover when seeds arrived with conspecifics, while Desmodium canadense and Lespedeza capitata performed better under heterospecific seeding. Our results support the idea that seed arrival patterns influence legume establishment, but the direction and strength of these effects are context dependent or species specific. Our findings suggest that restoration practitioners may improve outcomes by tailoring seeding strategies to the life history or traits of individual legume species
Chapter 5: Overview of intervention approaches, methods, and targets
No full textEvaluating & Enhancing Children's Phonological Systems, Third Edition contains clinical applications as well as research results for evidence-based practice. Students and speech-language pathologists will gain the knowledge and skills needed to plan and implement an optimal intervention program for an individual with highly unintelligible speech. The updated 2025 third edition includes a complete guide to the Hodson Cycles Approach, including how to adapt for special populations, and bilingual/multilingual clients. *Please note that this updated information is available in the 3rd edition (maroon) and is not included in the previous editions (turquoise)
On the additive properties of geometric measures
No full textThesis (Ph.D.)-- Wichita State University, College of Liberal Arts and Sciences, Dept. of Mathematics, Statistics, and PhysicsWe study the Minkowski sums of compact sets in , focusing on different geometric measures of these sums. We establish the equality conditions for the fractionally superadditive volume inequalities, resolve the Dyn–Farkhi conjecture in the case n = 2, and compute upper and lower bounds for the Schneider non-convexity index
Advanced deep learning techniques for biomedical signal and image analysis for healthcare
No full textThesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Biomedical EngineeringThis work presents a comprehensive investigation into advanced machine and deep learning approaches for biomedical signal analysis, spanning multiple modalities and application domains. The research addresses challenges associated with noise, variability, and computational constraints in the processing of physiological data and imaging. In particular, the work encompasses:
• EEG/fNIRS under Simulated Space Conditions: Novel methods for analyzing EEG and fNIRS signals are proposed to assess functional connectivity in
simulated microgravity environments, providing insights into the impact of
altered gravitational forces on central nervous system performance.
• ECG-Based Arrhythmia Detection: Deep learning models employing stacked
time–frequency scalogram images are developed for accurate classification of
cardiac arrhythmias, demonstrating significant potential for early diagnosis
and clinical intervention.
• Facial Image-Based BMI Prediction: A lightweight ensemble framework (PatchBMI-Net) is introduced for non-intrusive estimation of body mass
index from facial images, enabling real-time health monitoring via mobile
platforms.
• sEMG-Based Hand Gesture Recognition: The work benchmarks both
traditional and deep learning classifiers for the classification of hand
gestures from sEMG signals, with a focus on enhancing the control of
assistive and rehabilitative devices.
• Sensor Fusion for Human Activity Recognition: Innovative sensor fusion
techniques are proposed to integrate multi-modal wearable sensor data,
leading to improved human activity recognition performance in everyday and
clinical settings.
• Chest X-ray Classification: In addition, a deep learning framework for chest X-
ray analysis is developed to assist in the automated detection of pulmonary
abnormalities, enhancing diagnostic capabilities in radiology.
Collectively, these contributions advance the field of biomedical signal
analysis by addressing the challenges of data heterogeneity, computational
efficiency, and real-time inference. The proposed methodologies demonstrate
robust performance across diverse biomedical applications
and hold promise for deployment in resource-constrained environments,
thereby offering novel solutions for personalized healthcare, telemedicine,
and beyond