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Has the tablet beaten textbooks? Effect of key tool features on student satisfaction
No full textThis is an open access article under the CC BY license.As digital learning tools continue to reshape education, the debate over their effectiveness compared with traditional textbooks remains unresolved. This study provides fresh insights by examining how important feature-level factors—portability, navigability, and visual appearance—shape users’ confirmation and satisfaction with iPads and textbooks. Through a within-subject experiment conducted in a real classroom setting, 82 undergraduate students enrolled in an operations management course at a U.S. public university participated in a two-phase study over two weeks. To ensure ecological validity, students used either an iPad or a traditional textbook to solve decision science problems in their regular classroom environment before switching to the other tool in the second phase. At the end of each phase, participants completed a questionnaire assessing their perceptions of the tools and their learning experiences. This study’s findings challenge the intuitive belief that digital tools are always better than traditional ones. Furthermore, this study systematically examines the advantages and limitations of each tool regarding their detailed features, thus deepening the understanding of their role in digital learning adoption. This research offers a comparative analysis of electronic and traditional educational tools, which will provide insights for optimizing electronic education and responding to the changing landscape of learning technologies. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.Department of Information Systems; City University of Hong KongThe research is supported by the Digital Innovation Laboratory of the Department of Information Systems, City University of Hong Kong
Surface preparation end effector for industrial robot system and inspection and repair processes
No full textWSU inventors: John Tomblin, Caleb Saathoff, Upul Palliyaguru, NIARApplication No: 18/049,448 filed October 25, 2022. Patent No: US 12318916 B2 granted June 3, 2025.A robot end effector for surface preparation in an automated inspection and repair system for composite parts has an end effector body and a plasma control unit and a plasma jet nozzle supported on the end effector body. The plasma control unit directs a jet of atmospheric plasma through the plasma jet nozzle. A slave tool changer is secured to the end effector body. The slave tool changer releasably and operatively connects the robot end effector to an industrial robot such that the industrial robot can move the robot end effector along a composite part as the plasma control unit directs a jet of atmospheric plasma through the plasma jet nozzle toward the composite part to clean the composite part and increase a surface free energy of the composite part
Reducing return rates and improving product fit through additive manufacturing
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)High product return rates create major financial, environmental, and reputational challenges for industries such as fashion, footwear, and medical devices. Many of these returns stem from poor product fit, design flaws, and unmet customer expectations. Additive Manufacturing (AM), or 3D printing, offers solutions through customization, prototyping, and reduced material waste. This paper explores how AM improves product quality and customer satisfaction, leading to lower return rates across multiple sectors. Challenges such as material limits, data accuracy, and lack of standardization are also discussed. Overall, AM shows strong potential to support sustainable manufacturing while reducing costs and building consumer trust
Modernization of integrated technologies for ground systems (MINT-GS) - screening of 17-4PH SS laser powder bed fusion additive manufacturing process
No full textClick on the DOI link to access this Conference Paper at the publishers website (may not be free).Additive Manufacturing is currently being utilized to improve military readiness by transforming maintenance operations and the supply chain associated with repairing or replacing parts or components on legacy vehicles. The National Institute for Aviation Research at Wichita State University is collaborating with the Army Ground Vehicle Systems Center in the creation of a rapid qualification framework for various additive manufacturing materials and processes to support the modernization and sustainment of ground vehicles. Currently, a rapid qualification 17-4PH stainless steel material is being executed utilizing Laser Powder Bed Fusion and Direct Energy Deposition additive manufacturing processes. Prior to entering the rapid qualification, pre-qualification screening studies are performed to select the feedstock and develop process control to limit risk within the qualification. An overview of the pre-qualification screening studies performed in selecting the feedstock and heat treatment parameters for the laser powder bed fusion process are described throughout this paper
In-process inspection for automated fiber placement
No full textWSU inventors: Waruna Seneviratne, Dept. of Aerospace Engineering, College of Engineering, Tharaka Nandakumara, Joshua Goertz, NIAR.Application No: 18/439,757 filed February 12, 2024. Patent No: US 20250078248 A1 granted March 6, 2025. US 20250078248 A1A method of in-process inspection includes acquiring a grayscale image of an automated fiber placement (AFP) workpiece, executing a series of detection algorithms on the grayscale image to identify a plurality of characteristics in the grayscale image indicative of one or more defects in the AFP workpiece, and detecting the one or more defects in the AFP workpiece based on the identified plurality of characteristics
Transforming RN-Baccalaureate education using insights from a national faculty needs assessment
No full textClick on the DOI link to access this article at the publishers website (may not be free).Background: The recent American Association of Colleges of Nursing (AACN) Essentials revision emphasizes direct clinical experiences across 4 spheres of care in RN-Baccalaureate (RN-B) education, creating challenges for online, asynchronous programs. Differentiating between prelicensure and postlicensure education complicates the integration of these requirements. Understanding RN-B faculty needs is critical for curricular transformation. Purpose: This needs assessment examines challenges faced by RN-B faculty in integrating the AACN Essentials into nursing curricula and provides resources critical for the transition to them. Methods: A web-based needs assessment was conducted with RN-B faculty across the United States. It included a demographic questionnaire, 5 quantitative questions, and 3 qualitative items. Results: The assessment revealed a need for enhanced academic support, resources, communication, and collaboration to facilitate implementation. Conclusion: This article offers insights, recommendations, and resources for RN-B faculty engaged in curricular transformation, emphasizing targeted support for adopting the AACN Essentials. Copyright © 2025 Wolters Kluwer Health, Inc. All rights reserved
Costs of choice: Reformulating price theory without heroic assumptions
No full textThis is an open access article under the CC BY license.The space of human possibilities is vast and ever-growing in a creative, unpredictable fashion. Still, prices form. Acknowledging the costs of choice invokes the famous infinite regress argument wherein utility can’t be calculated without first computing an infinite chain of transaction costs. Rational individuals, to avoid getting stuck in infinite regress, must look outside themselves to make decisions. Heuristics, culture, aesthetics, and other elements of human sociality can be understood as grappling hooks to scale the unknown. Contextual or heuristic decision-making appears irrational under perfect knowledge assumptions, but theorists of creatively evolving systems cannot sufficiently explain emergent system features like prices, tradeoffs, and transaction costs without marshaling a nontrivial theory of knowledge acquisition and use. A price theory of creatively evolving social systems must, therefore, minimize a priori agent knowledge, like the “classical price theory” developed by Inoua and Smith (Economics of markets: neoclassical theory, experiments, and theory of classical price discovery, Palgrave Macmillan, London, 2023). I motivate and then discuss the contours and implications of a price theory that takes the costs of choice seriously, such that the primary modeling assumption isn’t epistemic heroism but epistemic humility. © The Author(s) 2025
Acute effects of running and blood flow restriction on gas exchange and perceptual responses
No full textThe purpose of this investigation was to examine gas exchange and perceptual responses during discrete running bouts performed at different peak running speeds with and without blood flow restriction (BFR). Twelve college-aged male subjects randomly performed four, 3-minute running bouts at 70%BFR, 80%BFR, and 90%BFR of their running speed at peak V̇o2 with BFR (applied bilaterally and most proximally on each leg) at 40% of total arterial occlusion pressure and 100%NOBFR of their running speed at peak V̇o2 without BFR. Separate 2-way, 4 (Speed [70%BFR, 80%BFR, 90%BFR, and 100%NOBFR]) × 3 (Time [120, 150, and 180 seconds]), Bayesian repeated-measure models were performed to examine differences in oxygen consumption (V̇o2), carbon dioxide production (V̇co2), and minute ventilation (V̇E) as well as ratings of perceived exertion (RPE) and pain. V̇o2, V̇co2, and V̇E increased across running speeds and was similar between the 90%BFR and 100%NOBFR speeds for V̇o2 (Meandiff = -1.49 ± 0.003 ml·kg-1·min-1; 95% HDI: -4.8 to 1.8) and V̇E (Meandiff = -6.97 ± 0.65 L·min-1; 95% HDI: -16.5 to 2.52). Ratings of perceived exertion was highest during the 90%BFR and 100%NOBFR speeds (90%BFR and 100%NOBFR > 80%BFR > 70%BFR), whereas pain was greater during the 90%BFR speed relative to the 70%BFR (Meandiff = -1.31 ± -0.20 au; 95% HDI: -2.63 to -0.0165) and 100%NOBFR (Meandiff = 1.3 ± 0.26 au; 95% HDI: 0.01-2.56) speeds. Applying BFR during 90%BFR of peak running speed induced comparable V̇o2 and V̇E responses as 100%NOBFR but was not associated with lower RPE and provoked more pain. Collectively, BFR exhibits a small, potentially negligible effect on gas exchange, which were largely speed dependent. Coaches and practitioners may consider treadmill running with BFR when reductions in exercise intensity are warranted
Nursing: 1979-1980
No full textPersonal and not-profit use only. Contact [email protected] if you have any questions.On photo: left to right - top row: Lisa Chickadonz, Anne Hesse, Chris Stewart, Becky Braley, Sharon Bearce, Kathy Oland, Beverly Dill, Joanna Wulf, Joni Kennedy, Penny Hawver, Joni Bradley, Debra Donner, Suzanne Spaeny, Tawnya JacobsSecond row (left to right): Michelle Messer, Kathy Parker, Sheri Emig, Cheryl Estes, Renee Ebel, Janice ScottThird row (left to right): Barbara Cress, Debbi Jacobs, Jim Egger, Dan Watts, Jana Reeder, Paula NegriFourth row (left to right): Kim Heath, Pat Holcomb, Melinda LaFoy, Keith Perry, Karen Kelling, Leann Kirkpatrick, Joanne Karpowich, Ruth Keiter, Cherie L. Milne, Mary Towsend, Robert Mannell, Kathie Bitker, Renae Pritchard, Peggy Dilsaver-CusterFifth row (left to right): Carla Diener, Terri Fehrenbach, Linda Wiltfong, Sheree Mallernee, Jael Castaneda, Genny Seeger, Irene Nohinek, Traci Ramsey, Rosetta Workman, Patty Hastings, Jan McFadden, Connie Lawrence, Betty Boling, Bev SteinerSixth row (left to right): Steve Holmes, Bonnie Skinner, Pam Oborg, Sharon Erdmann, Patricia Courtright, Patti Bloodworth, Jean Walker, Nancy Eggers, Fern Hess, Shirley Johnston, Melinda Helmer, Jeannie Clement, Collette Langford, Tim WalshSeventh row (left to right): Victoria Mosack, Rebecca Keith, Raylene Pern, Agnes Al-Dabbagh, Dawn Warrington, Coleen Entz, Melanie Ensey, Brenda Wycoff, Jennie Dirksen, Paula Stone, Barbara Friedman, Roy Phillips, Lynnette Nickel, Janene EdwardsBottom row (left to right): Jean Howard, Cheryl Noble, Sally Quinian, Deborah Esau, Jan Jantz, Cherri Wiese, Cindy Deckert, Dixie Krone, Pat Holcomb, David Dixon, Sharon Baumann, Karolyn Kells, Sondra Jackson, Dick DetwilerDigitized by University Libraries' Technical Services Institutional Repository & Digitization group