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Episode 38 – Mezzo-Soprano Joyce DiDonato
No full textGrammy award-winning mezzo-soprano Joyce DiDonato has performed on some of the world’s most renowned stages, including La Scala in Italy, the Metropolitan Opera in New York, and the Royal Opera House in London. But before her 24-carat gold stole the hearts of audiences across the globe, she was a Shocker. Listen as Joyce chats with Wichita State President Rick Muma on the “Forward Together” podcast.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
Examination of neuromuscular and tissue oxygenation characteristics during submaximal treadmill running with blood flow restriction
No full textClick on the DOI link to access this article at the publishers website (may not be free).Purpose: The use of blood flow restricted (BFR) running may provide an alternative to lower the running speed without compromising physiological responses that often occur during high intensity running. The purpose of this investigation was to compare the acute effects of various submaximal treadmill running speeds with BFR relative to maximal treadmill running speed without BFR on surface electromyographic amplitude (sEMGAMP), surface electromyographic mean power frequency (sEMGMPF), and muscle tissue oxygenation (StO2) responses. Methods: Thirteen college-aged females randomly completed four, three-minute treadmill running bouts at 70%, 80%, and 90% of their top speed (achieved during a graded exercise test) with BFR (70%BFR, 80%BFR, and 90%BFR) and 100% of their top speed without BFR (100%NOBFR). The sEMGAMP, sEMGMPF, and StO2 responses were analyzed from the final minute of the treadmill running bouts. Results: Each treadmill running bout led to similar (zero present in each Bayesian 95% high-density interval) sEMGAMP, sEMGMPF, and StO2 responses (70%BFR = 80%BFR = 90%BFR = 100%NOBFR). The mean difference (Meandiff) between speeds ranged from 2.73% to 11.20% for sEMGAMP, 0.04% to 7.08% for sEMGMPF, and 0.02% to 1.03% for StO2. Conclusion: Despite reductions in treadmill running speed, sEMGAMP, sEMGMPF, and StO2 responses were similar among non-BFR maximal treadmill running and submaximal treadmill running with BFR. Thus, submaximal treadmill running with BFR may serve as a potential alternative when maximal intensity aerobic exercise is contraindicated. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025
“As if the pieces of the past were in our hands”: Nonlinear digital public archaeology with 3d models on sketchfab
No full textClick on the DOI link to access this article at the publishers website (may not be free).This article describes the publication and evaluation of a user-driven narrative module on the public-facing 3D platform Sketchfab, which comprises dozens of interlinked 3D models relating to the archaeology of the Faynan region of Southern Jordan. Models included in the project are archaeological sites, excavation units, and artifacts related to the Iron Age and Islamic period archaeology of the region. By interlinking these models according to their spatial, conceptual, and contextual relationships, this project facilitates the nonlinear exploration of archaeological data and replicates the process of archaeological knowledge generation, in which information is produced through examination of the relationship between object and its provenience. Through the inclusion of bilingual (Arabic and English) text in this project, we aim to increase the accessibility of archaeological data and interpretation to interested parties. We also invite participation in the development of multiple narratives based on user-driven, independent exploration of artifacts and context. Through free navigation within and between models, users can develop their own understanding of the archaeology of Faynan based on research-based content published in 3D. The effectiveness of the project is evaluated here through surveying Arabic-speaking Jordanians, a key group of interested parties.This work was supported by an AIA-NEH Grant for Archaeological Research (PI: M.D.H.); an NSF IGERT Award under grant #DGE-0966375, \u201CTraining, Research and Education in Engineering for Cultural Heritage Diagnostics\u201D (graduate student support for B.L., I.W.N.J., and M.D.H); and funding from the AIA-Orange County Chapterand T.E.L.\u2019s Norma Kershaw Chair, Department of Anthropology and Jewish Studies, UC San Diego. Opinions, findings, and conclusions from this study are those of the authors and do not necessarily reflect the opinions of the research sponsors
The impact of fluvial erosion on archaeological sites
No full textSecond place winner of poster presentations for Social Sciences & Humanities at the 24th Annual Undergraduate Research and Creative Activity Forum (URCAF) held in the Woolsey Hall, Wichita State University, April 25, 2025.Fluvial erosion is a dynamic site formation process that has the potential to degrade and destroy archaeological sites worldwide and especially in Kansas. Fortunately, fluvial erosion can be monitored utilizing remote sensing techniques, including water indices detected through Landsat and Sentinel imagery, linear regression, and change detection algorithms. In this study, we systematically analyze the spatial and temporal dynamics of river behavior across Kansas from 1984-2024 using these approaches. By correlating shifts in water dynamics with the locations of known archaeological sites from the Kansas State Historical Society (KSHS) database, our approach identifies archaeological sites that have eroded or are eroding and informs predictive models for future erosion. Through these methods, our research found twenty-three (23) archaeological sites at immediate risk of erosion, eroding, or eroded. This study addresses the urgent need to safeguard these cultural resources by identifying critical erosion zones where fluvial forces threaten to permanently erase remnants of our past
Book review: Review of: Indigenous America in the Spanish language classroom
No full textBook review of Fountain, A. (2023). Indigenous America in the Spanish Language Classroom. Georgetown University Press
Message integrity verification in SWIFT flows using AI-assisted rule extraction and python-based constraint engines
No full textClick on the DOI link to access this article at the publishers website (may not be free).While ensuring the validity of SWIFT messages is vital for secure and compliant financial undertakings, legacy validation approaches based on static and manually crafted rules struggle with evolving formats as well as inter-field dependencies. This work proposes a hybrid architecture combining AI-based rule extraction with a constraint-based engine developed in Python to identify field-level and semantic inconsistencies in real-time SWIFT streams. The architecture derives structural and relational rules from a corpus of 2.5 million historical messages, translating them into executable constraints that enable dynamic, scalable SWIFT flow message validation. Evaluation results demonstrate that the AI model achieved 94% rule coverage, while the constraint engine maintained sub-30-millisecond inference times under high-load conditions, outperforming rule-based systems in terms of precision and redundancy reduction. Furthermore, the architecture revealed cross-message governance flagging using static rules, providing new perspectives on compliance that those rules could not offer. These results demonstrate the benefits of integrating machine learning-based rule extraction with real-time constraint application to improve message integrity checks in complex financial systems. © 2025 IEEE
Soft robot workspace estimation via finite element analysis and machine learning
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 Industrial, Systems, and Manufacturing Engineering, College of Engineering.Soft robots are robots with flexible bodies, which make them safer for working with humans and adaptable to changing environments. But controlling them can be tricky because their movements are complicated. This study examines the motion of a pneumatic soft robot, which uses air pressure to generate movement, through a combination of Finite Element Analysis (FEA) and machine learning techniques. The robot consists of two parallel, hyper-elastic chamber tubes that expand and bend in response to pressure, mimicking the movement of an elephant’s trunk. One chamber spans the full length of the robot, while the second chamber is half the length, providing asymmetry that allows for more flexible and varied motion. The goal is to use machine learning to develop a predictive model that links the pressure input to the robot’s movement, which is a key challenge in controlling soft robots. By training an artificial neural network (ANN) on the simulation data from FEA, we created a model that can accurately estimate the robot's movement, achieving an impressive R-squared value of 0.99 and a low root mean square error of 0.783. Additionally, we compared the capabilities of robots with different designs: the two-chamber robot can reach a workspace approximately 185 times larger than a single-chamber robot. This approach blends engineering, machine learning, and design to address the challenges of soft robot control, offering insights into their potential applications in real-world environments.Graduate School, Academic Affairs, University Librarie
Large negative magnetoresistance in the off-stoichiometric topological semimetal PrSbxTe2-x
No full textClick on the DOI link to access this article at the publishers website (may not be free).Magnetic topological materials LnSbTe (Ln = lanthanide) have attracted intensive attention because of the presence of interplay between magnetism, topological, and electron correlations depending on the choices of magnetic Ln elements. Varying Sb and Te composition is an efficient approach to control structural, magnetic, and electronic properties. Here, we report on the composition-dependent properties in PrSbxTe2-x. We identified the tetragonal-to-orthorhombic structure transitions in this material system and very large negative magnetoresistance in the x=0.3 composition, which might be ascribed to the coupling between magnetism and transport. Such unusual magnetotransport enables PrSbxTe2-x topological materials as a promising platform for device applications. © 2025 American Physical Society
Enhancing stroke rehabilitation: Assessing hand function through electromyography
No full textPoster and abstract presented at the FYRE in STEM Showcase, 2025.Research project completed at the Department of Biomedical Engineering.Stroke remains a leading cause of long-term disability, as it significantly impairs hand function and impacts the daily lives of affected individuals. Traditional assessment methods for hand strength and recovery, such as manual muscle testing, often lack the objectivity and precision necessary for effective rehabilitation. This study investigates the application of electromyography (EMG) as an objective measurement tool for evaluating muscle activation during hand-squeezing tasks in stroke patients. The primary objective is to assess the effectiveness of EMG in enhancing the evaluation of hand function and informing rehabilitation strategies. Healthy individuals will perform controlled hand-squeezing tasks. EMG sensors will be utilized to record muscle activation patterns, focusing on contraction timing and intensity. Those results will serve as a control and will be compared to results from simulated stroke survivors. A specialized software program will be developed to analyze EMG data, with validation involving a comparative analysis between groups. The anticipated findings aim to demonstrate the advantages of EMG in providing accurate assessments of muscle function, ultimately supporting the development of personalized rehabilitation protocols. By integrating EMG into stroke rehabilitation practices, this research seeks to improve recovery outcomes, enhance quality of life for stroke survivors, and advance data-driven rehabilitation methodologies