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Measuring the convexity of compact sumsets with the Schneider non-convexity index
No full textClick on the DOI link to access this article at the publishers website (may not be free).We study the Schneider non-convexity index of compact sets A?Rn, defined to be the smallest ?>0 such that the sumset A+?conv(A) is convex. We compute a sharp lower bound on the index of the Minkowski sum of two compact sets in R, and establish a family of fractional subadditive inequalities for sums of m compact sets in Rn.The author of this paper was supported in part by the National Science Foundation LEAPS - Division of Mathematical Sciences Grant No. 2316659, and MSPRF postdoctoral fellowship program Award No. 2502794
Dare to share: A path analysis and social exchange investigation of workplace social courage and safety knowledge sharing
No full textClick on the DOI link to access this article at the publishers website (may not be free).The purpose of this study is to investigate both the organizational and individual influences on safety knowledge sharing. Using social exchange theory, we propose that safety climate positively affects safety knowledge sharing by means of reciprocity when the firm values employee safety. However, since workers are often fearful of the consequences of discussing safety issues, we posit that workplace social courage is necessary to facilitate the reciprocal relationship between safety climate and safety knowledge sharing. We also suggest that safety voice is required for employees to engage in safety knowledge sharing. Data collection involved 158 employees in a manufacturing firm across three facilities in the United States. Using path analysis, we found that there is not a direct relationship between safety climate and safety knowledge sharing. Our results suggest that safety climate positively influences safety knowledge sharing only through a serially-mediated chain of workplace social courage and then safety voice. As such, our work exhibits the idea that it always requires courage to speak up and share safety ideas, even in a robust safety climate. This furthers our current understanding of how safety climate can influence employee actions and what personal and organizational factors affect the sharing of safety knowledge
24th Annual Undergraduate Research and Creative Activity Forum
No full textProgram and abstracts of undergraduate student poster presentations held in the Woolsey Hall, Wichita State University, April 25, 2025
Faculty Senate meeting, September 22, 2025
No full textAgenda: (Approval of Minutes): September 22, 2025 -- (President’s Report) / Christopher Stone -- (Committee Reports): Rules Committee / Victoria Koop -- (Old Business): Proposed change to 4.13 Chair Policy and Procedures (Electorate) – Second rea
Studying flame-retardancy, smoke and toxicity of fiber-reinforced composites manufactured via modified resins and metallic coatings
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 study focuses on the development of flame-retardant fiber-reinforced polymer (FRP) composites, which are typically fire-intolerant despite their excellent mechanical, chemical, and thermal properties. Incorporating modified resins, metallic surface coatings, and graphene powder improved the composite's fire resistance and reduced smoke emissions properties. The composites were fabricated using a wet-layup process under vacuum. Thermal stability, flammability, and smoke production characteristics were evaluated using differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), thermomechanical analysis (TMA), UL94 vertical flame test, and standardized smoke and toxicity tests. The addition of 9,10-dihydro-9-oxo-10-phosphaphenanthrene-10-oxide (DOPO) and Cu film surface coating led to superior smoke suppression with negligible smoke production (maximum Ds of 0–4, VOF4 of 1 at 180–240 s), whereas unmodified composites showed significant smoke development (maximum Ds of 759 at 240 s, VOF4 of 1157). Because DOPO and matrix interacted to form a char layer, the modified test samples passed the UL 94 vertical flame tests with a V0 rating. The metal films also enhanced fire-shielding and heat-dissipation, which resulted in a synergistic effect of chemical and physical protection with minimum release of toxic gases. This research could lead to composites with reduced emissions of harmful gases and minimal smoke formations with better fire-retardant properties. © 2025 The Author
Patterns of brain Ferritin expression in the Drosophila divalent cation transporter mutant Malvolio
No full textPoster and abstract presented at the FYRE in STEM Showcase, 2025.Research project completed at the Department of Biological Sciences and Department of Biomedical Engineering.Malvolio (Mvl) is the Drosophila ortholog of the mammalian Solute Carrier Protein Slc11a2, which transports divalent metals, including iron. The function of Mvl in the developing Drosophila brain is unclear and the developmental anomalies of the brain in Mvl mutant, if any, have not been investigated. Our objective was to determine potential physiological defects, if any, in the brain of Mvl mutants. We tested iron availability in the brain of Mvl loss-of-function mutant, Mvlexc1. We used the Ferritin 1 HCH GFP protein trap fly line as the control. Brain tissue from both the control and mutant animals were dissected and the Ferritin GFP levels at both the larval and adult stages were recorded. Ferritin 1 GFP intensity was used as the marker of iron availability for comparison between the mutants and controls. We confirmed that the loss of Mvl results in lack of iron storage in the midgut iron cells. Contrary to our expectation, we observed differential and sharply contrasting regions of Ferritin expression in the Mvl mutant brains compared to controls. The optic lobes expressed high levels of Ferritin (high GFP) in the Mvl mutants compared to the central brain lobe in a pattern that persisted during both larval and adult stages. Our finding that Mvl mutant brain tissue (optic lobe) has higher Ferritin expression compared to the control suggests one or more of the following scenarios: (i) Despite the loss of Mvl, brain tissue can access iron, via non-Mvl dependent cellular uptake of iron, and/or (ii) Ferritin expression in brain tissue is uncoupled from cellular iron availability. We are testing the latter hypothesis by implementing dietary iron restriction during Drosophila development
Inflatable structure and method of making inflatable structure
No full textWSU inventors: Bhisham Sharma, William Johnston, Dept. of Aerospace Engineering, College of EngineeringApplication No: 18/918,845 filed October 17, 2024. Patent No: US 20250033273 A1 granted January 30, 2025.In an inflatable structure, a plurality of fibers is formed in a cavity of a flexible shell. When structure is inflated, the shell expands and the fibers are tensioned to constrain the flexible shell to have a fiber-constrained shape. When the structure is uninflated, the flexible shell is configured to collapse. The structure is formed by additive manufacturing. The fibers are fused to the shell and can run in various directions in relation to each other and the flexible shell. Fibers can extend obliquely to the shell when tensioned and at crosswise directions in relation to each other to form a nonwoven mesh
RESTRAIN: Reinforcement learning-based secure framework for trigger-action IoT environment
No full textClick on the DOI link to access this article at the publishers website (may not be free).Internet of Things (IoT) platforms with trigger-action capability allow event conditions to trigger actions in IoT devices autonomously by creating a chain of interactions. Adversaries exploit this chain of interactions to maliciously inject fake event conditions into IoT hubs, triggering unauthorized actions on target IoT devices to implement remote injection attacks. Existing defense mechanisms focus mainly on the verification of event transactions using physical event fingerprints to enforce security policies to block unsafe event transactions. These approaches are designed to provide offline defense against injection attacks. The state-of-the-art online defense mechanisms offer real-time defense, but extensive dependency on the inference of attack impacts on the IoT network limits the generalization capability of these approaches. In this paper, we propose a platform-independent multi-agent online defense system, namely RESTRAIN, to counter remote injection attacks at runtime. RESTRAIN allows the defense agent to profile attack actions at runtime and leverages reinforcement learning to optimize a defense policy that complies with the security requirements of the IoT network. The experimental results show that the defense agent effectively takes real-time defense actions against complex and dynamic remote injection attacks and maximizes the security gain with minimal computational overhead. © 2025 IEEE.Army Research Laboratory, ARL; DoD Center of Excellence in AI; Coastal Virginia Center for Cyber Innovation; Machine Learning, (W911NF-20-2-0277); National Science Foundation, NSF, (2219742, 2131001); National Science Foundation, NSFThis work is supported in part by DoD Center of Excellence in AI and Machine Learning (CoE-AIML) under Contract Number W911NF-20-2-0277 with the U.S. Army Research Laboratory, National Science Foundation under Grant No. 2219742 and Grant No. 2131001. It is also supported in part by the Coastal Virginia Center for Cyber Innovation (CoVA CCI)
Resident-led seminar and workshop on airway management for physician assistant students: Evaluating efficacy and memory retention
No full textClick on the DOI link to access this article at the publishers website (may not be free).IntroductionPhysician assistants (PAs) should understand the implications and risks involved with airway management. Our study aimed to facilitate PA students' familiarity with airway management with instruction from anesthesiology residents. We assessed the students' knowledge of airway management both before and after a seminar to see if knowledge was retained.MethodsPhysician assistant students participated in a seminar (didactic lecture and a hands-on workshop) on airway management led by anesthesiology residents. The students took a true-false pretest and repeated the test following the seminar. After four months, the students repeated the same true-false test to assess retention. We used Friedman test to analyze differences between the pretest, posttest, and retention tests, as well as performed an itemized analysis on the questions.ResultsThe students showed a significant difference between the pretest and posttest (P < 0.001) and between the pretest and retention test (P = 0.006). Students performed better per question on the retention test compared with the pretest, except for a question related to an indication for intubation (Z score = -2.757; P = 0.006).DiscussionOur results demonstrated that educating PA students in airway management with anesthesia resident direction resulted in a statistically significant increase in their knowledge on the topic four months after the training. Interactive learning seems beneficial for gaining knowledge on the basic principles of airway management. © 2025 PA Education Association. Unauthorized reproduction of this article is prohibited
Matrix Li–Yau–Hamilton estimates under Kähler–Ricci flow
No full textClick on the DOI link to access this article at the publishers website (may not be free).We prove matrix Li–Yau–Hamilton estimates for positive solutions to the heat equation and the backward conjugate heat equation, both coupled with the Kähler–Ricci flow. These estimates are further extended to the constrained setting. As an application, we obtain a monotonicity formula. © Mathematica Josephina, Inc. 2025.Wichita State University, WSU; Division of Mathematical Sciences, DMS, (2405257); Division of Mathematical Sciences, DMS; National Science Foundation, NSF, (2316659); National Science Foundation, NSF; Simons Collaboration, (962228); National Natural Science Foundation of China, NSFC, (11571361); National Natural Science Foundation of China, NSFCXiaolong Li research is partially supported NSF-DMS #2405257, NSF LEAPS-MPS #2316659, Simons Collaboration Grant #962228, and a start-up grant at Wichita State University. Xin-An Ren research is partially supported by National Natural Science Foundation of China Grant #11571361