23671 research outputs found
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Which gaming communities are for whom: The landscape of online gaming communities, subcommunities, and marginalized gamers
No full textThesis (M.A.)-- Wichita State University, College of Liberal Arts and Sciences, Dept. of SociologyPrevious literature on gaming suggests a cultural divide between the expectations of a gamer and marginalized communities' participation in gaming. This qualitative study relies on personal interview data to assess the experiences of marginalized gamers with online gaming. Furthermore, the study investigates the significance of online gaming for marginalized gamers as well as their motivations despite restrictive barriers from the community. The study pushes back on the idea of gaming as one singular community. It discusses the perceived differences between online gaming cultures within different subcommunities and their digital cultures. The study also examines the differences between online and offline interactions and cultures. Additionally, the study examines the hegemonic stereotype of a gamer and how it ostracizes marginalized gamers. Finally, the study addresses potential solutions to discrimination and hostility within the online gaming community. These suggestions aim to promote intersectionality within gaming. The study's results support previous literature findings describing the ostracization of gamers, but they also call for nuanced discussion regarding gaming subcommunities and highlight the need for diversity and inclusion within gaming
11.10 Poster/Flyer Policy for University Grounds and Facilities and Comparison Chart, February 24, 2025
No full textFlexible routing algorithm for digital intermediate frequency interoperability satellite systems using fair buffer queuing
No full textDate of Conference: 17-20 February 2025
Date Added to IEEE Xplore: 13 May 2025
Conference Location: Honolulu, HI, USAFunding Agency: 10.13039/100006831-United States Air ForceWith changes in the Digital Intermediate Frequency Interoperability (DIFI) standard, there is now a standardized way for DIFI systems to communicate various flow control details. These details can be used to increase the reliability of satellite systems in terms of packet loss and delay. We will examine a deterministic routing scenario in which a satellite is used as a relay between two earth stations. To accomplish this goal, we propose a new queuing algorithm for network scheduling called "fair buffer queuing." We will also briefly discuss situations that would allow us to further leverage the changes from the updated flow control mechanisms included in the DIFI 1.2.0
Sharp Fourier decay estimates for measures supported on the well-approximable numbers
No full textClick on the DOI link to access this article at the publishers website (may not be free).We construct a measure on the well-approximable numbers whose Fourier transform decays at a nearly optimal rate. This gives a logarithmic improvement on a previous construction of Kaufman
Warehousing and distribution injuries in Kansas: Costs and trends from the state workers' compensation database 2014-2023
No full textClick on the DOI link to access this article at the publishers website (may not be free).The warehousing industry has been growing quickly since the rise of e-commerce and the Covid-19 pandemic. This industry has a higher rate of injuries than general industry, so much so that OSHA declared that its latest National Emphasis Program (NEP) in 2023 was to target select sectors of the warehousing industry. At the same time four states initiated their own warehousing safety regulations. To elucidate costs, trends, and general information on the state of warehousing safety in Kansas, the state workers' compensation database was examined from 2014 to 2023, which includes all claims with 7 or more lost workdays. Total direct costs over the period were $119,860,069. Medical costs comprised 60.8 % of all costs, legal 5.6 % and indemnity 44.1 %. The hand/wrist (15.3 %) and shoulder (15.2 %) were the most commonly cited body parts, with shoulder being the most expensive by almost 40 % per claim. The largest cause was overexertion, precipitating 46.1 % of claims, and 41.1 % of claims involved a WMSD, almost 90 % of which were sprains and strains, and higher than in general industry. The study highlights the need for improved ergonomics, and for hazard mitigation for local messengers/deliverers whose median claim cost exceed that of all warehousing divisions. The study presented up-to-date information on only the specific industries highlighted in the NEP. Overall, the information presented can guide priorities and target interventions in this sector, making most effective use of safety resources and improving the workplace for employers and employees
Department of Dental Hygiene Class of 1992
No full textFirst row (left to right): Barbara Gonzalez, Assistant Professor; Pamela Bumpurs, Clinical Coordinator; Diane Huntley, Associate Professor; David May, Supervising Dentist; Margaret Minneman, Assistant Professor; Denise Maseman, Assistant Professor; Mary Jo Nigg, LecturerSecond row (left to right): Karla Tinkler, President; Susan Dwyer, Vice President; Jill M. Nuzzi, Secretary/Treasurer; Whitney Herring, Social ChairmanThird row (left to right): Angela Adkins, Cynthia Amrein, Sherri Bass, Becky Bornhorst, Stacey Cook, Kim EckFourth row (left to right): Robin Ellsbury, Kristi Goyer, Christine Kalcic, Karen Kimple, Kim Lange, Laurie Lester, Karen Lowery, Jayna Marten, Barbara MorganFifth row (left to right): Rusty Pyles, Nancy R. Sanchez, Pam Solomon, Brenda Sperry, Terri Tharp, Terri Watson, Sandra Weve, Keena WhartonDigitized by University Libraries' Technical Services Institutional Repository & Digitization group.Personal and non-profit use only
Performance modeling of heterogeneous edge-cloud systems with machine learning
No full textClick on the DOI link to access this conference paper at the publishers website (may not be free).Edge-cloud systems are heterogeneous computational infrastructures designed to manage distributed workloads efficiently. Accurate prediction of system performance is essential for minimizing execution time, energy, and enhancing throughput. Traditional performance evaluation methods, such as simulation-based tools, are often time-consuming, require manual configuration, and rely heavily on assumptions that limit scalability and adaptability. To address these challenges, this work investigates several machine learning (ML) models to predict performance in heterogeneous edge-cloud environments, focusing on key metrics such as execution time, energy consumption, and throughput. Five different ML models, namely, Random Forest (RF), Long Short-Term Memory (LSTM), Deep Neural Network (DNN), Recurrent Neural Network (RNN), and a hybrid RNN-DNN, are developed and evaluated. The training dataset is generated using the VisualSim system-level modeling tool by simulating diverse edge-cloud configurations. The performance of the models is evaluated using the mean absolute error (MAE) and the root mean square error (RMSE), and the predicted results are validated against the VisualSim outputs. Experimental results show that the RF model achieves the lowest MAE and RMSE on the test datasets. The deep learning models exhibit varying levels of accuracy, with the DNN model offering a strong trade-off between computational complexity and predictive performance
Optimal realtime toolpath planning for industrial robots with sparse sensing
No full textThis is an open access article under the CC BY license.Non-contact surface processing does not involve direct contact between the tool and a worksurface. An industrial robot mostly uses preplanned toolpaths to perform non-contact surface processing. A preplanned toolpath may work well in repetitive conditions but may easily become inaccurate and unsafe if the tool needs to follow unknown worksurface variations. Many industrial processes, e.g., painting, coating, and sandblasting, typically involve worksurfaces with unknown variations. This study proposes an optimal toolpath planning method for an industrial robot equipped with end-of-arm distance sensors to automatically guide its tool motion along unknown worksurface variations. The distance sensors facilitate sparse sensing to acquire sparse data that is just enough for the quick and adequate perception of unknown worksurfaces by requiring fewer measurements and less computing. Optimization facilitates the optimality of multi-objective toolpath planning with a customizable value function, where the multiple objectives comprise adapting to unknown worksurface variations and traveling between known tool targets. To validate the proposed toolpath planning method, this study conducts a simulation experiment on a virtual robot with four end-of-arm distance sensors and a workpiece with unknown surface variations. The experimental results indicate that the proposed method is accurate and near-optimal even in the presence of sensor noises. © 2025 by the authors
Study of heterogeneity of soy protein materials using XPS imaging technique
No full textThesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Mechanical EngineeringProteinous materials, such as soy protein isolate (SPI), have drawn tremendous attention as an economical biological resources for materials applications, due to their inarguably outstanding sustainability and promising properties and functionalities. To achieve precise materials design and fabrication, the knowledge of materials structure-property relationship is demanded. However, proteins are known for their complex structures consisting of about 20 different types of randomly and covalently bonded amino acids. The diverse inter-/intra-molecular interactions further complicate the aggregated protein structures in the solid state. Currently, the knowledge of solid-state protein structures and their relationship with properties of protein-based materials is inadequate, due to the limitation of modern characterization technologies.
X-ray photoelectron spectroscopy (XPS) is a surface analysis technique that can measure the elemental and chemical state for less than 10 nm from the surface and can be quantified without a known standard, superior to many other technologies. Meanwhile, via analysis of the heterogenous elemental distributions, the aggregated protein structures, dominated by the peptide bonds, were revealed. The presence of dimethyl sulfide and glycerol in SPI significantly affected the elemental distribution but did not noticeably impact the aggregation of peptide bonds. The nearly identical distributions of metallic elements from the ash compositions in SPI, such as Na and Ca, suggested their favorable binding with peptide bonds, which were not affected by the materials fabrication and modifiers.
This study proves the feasibility of XPS in characterizing the heterogeneity of soy protein materials via identifying and quantifying the distributions of chemical states in soy protein, leading to new knowledge about the aggregated solid structures in soy protein materials
Changes in pain knowledge, attitudes and beliefs of doctor of physical therapy students across three-year curriculum
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 Physical Therapy, College of Health Professions.INTRODUCTION: Over the last decade there has been a growing emphasis on pain neuroscience education (PNE), a cognitive-based educational intervention. The goal of PNE is to change a patient’s knowledge about their pain experience, regardless of chronicity, leading to better understanding about the pain experience. Doctor of Physical Therapy (DPT) students may not receive adequate pain education and the treatment of patients with chronic pain.
PURPOSE: The study’s purpose is to evaluate changes in pain knowledge, attitudes, and beliefs, via survey research of DPT students. This study evaluated whether students’ responses about chronic pain changed over their three-year curriculum. Results may assist with curriculum analysis, potentially increasing PNE in the curriculum.
METHODS: Thirty-seven Wichita State University DPT students (20-30 years old) were given a Qualtrics survey that consisted of the following three questionnaires; Neurophysiology of Pain Questionnaire (NPQ), Health Care Providers’ Pain and Impairment Relationship Scale (HC-PAIRS), and the Pain Attitudes and Beliefs Scale for Physiotherapists (PABS-PT). The survey was given at three different points throughout the participants’ time in the DPT program. The data were analyzed using a one-way analysis of variance in SPSS.
RESULTS: There were no statistically significant changes in scores for the NPQ, HC-PAIRS or PABS-PT over the three survey administration periods.
CONCLUSION: While there are no statistically significant changes for NPQ, HC-PAIRS or PABS-PT scores, this study provides a base from which future research can be conducted over the pain knowledge, beliefs, and education that physical therapy students receive in their institution’s curriculum. The format and concepts of this study also have the potential to be applied to educational programs of other healthcare professions.Graduate School, Academic Affairs, University Librarie