Digital Commons Network^™

The War Came To Us: Life And Death In Ukraine. By Christopher Miller. London: Bloomsbury Continuum, 2023., Amos C. Fox Ph.D.

Journal of Strategic Security

No abstract provided.

A World Safe For Commerce: American Foreign Policy From The Revolution To The Rise Of China. Dale C. Copeland. Princeton: Princeton University Press, 2024., Michael Hampson Ph.D.

Journal of Strategic Security

No abstract provided.

Stories From The Laboratory Schools, Fall 2024, College Of Education

Stories from the Laboratory Schools

Fall 2024 edition of Stories from the Laboratory Schools contents include:

Welcome

"But what do I say to them?" Engaging Beginning Teacher Candidates in Small Group SEL Circles

Building Bridges Through Language: Learning Mandarin in the ISU Lab Schools

Empowering Caregivers: The Impact of Parent-Implemented Communication Strategies for Deaf Children

Reimagining Research in the Middle School

Journal is co-edited by Dr. Anthony Jones, Director of Laboratory Schools and Dr. Barbara Meyer, Associate Professor in the School of Teaching and Learning

Hyperfibrinolysis: A Crucial Phenotypic Abnormality Of Posttraumatic Fibrinolytic Dysfunction, Kyosuke Takahashi, Kazuma Yamakawa, Anaar E Siletz, Morihiro Katsura, John B Holcomb, Charles E Wade, Jessica C Cardenas, Erin E Fox, Morgan Schellenberg, Matthew Martin, Kenji Inaba, Kazuhide Matsushima

Faculty, Staff and Student Publications

Background: Traumatic fibrinolytic dysfunction is often categorized into 3 phenotypes based on the result of thromboelastography (TEG) lysis at 30 minutes (LY30): fibrinolysis shutdown, physiologic fibrinolysis, and hyperfibrinolysis. However, the molecular pathophysiology of fibrinolytic dysfunction and the association with clinical outcomes have not been fully evaluated.

Objectives: To assess whether posttraumatic fibrinolysis phenotypes identified by TEG correlate with levels of key fibrinolysis-related serum markers and with risk of mortality and hospital complications.

Methods: This is a secondary analysis of the Pragmatic, Randomized Optimal Platelet and Plasma Ratios trial. Patients were stratified according to the degree of fibrinolysis upon arrival using …

Training Nurses In Trauma-Informed Care To Address Workplace Violence In Inpatient Settings, Kelly Kearney, Elaheh Ashtari, Stephanie Emhoff, Calvary Fielden, Sarah Hernandez, Ana Ruiz

Faculty, Staff and Student Publications

Background: Frontline workers in psychiatric facilities are exposed to considerable risks of verbal and physical assaults, with 40% to 65% of mental health nurses experiencing violence in the workplace. The goal of this pilot study was to assess the readiness and motivation for adopting trauma-informed care (TIC) to address workplace violence in an acute care psychiatric hospital.

Method: A pre-post quality improvement study was conducted in two pilot units of a 274-bed acute care psychiatric hospital, involving a discussion-based seminar and a practical exercise. Surveys assessed participants' readiness and motivation posttraining.

Results: Sixty-eight staff members completed part 1 training, with …

The Toxicology Investigators Consortium 2023 Annual Report, Adrienne Hughes, Alexandra Amaducci, Sharan L Campleman, Shao Li, Mari Costantini, Meghan B Spyres, Hannah Spungen, Jessica Kent, Alyssa Falise, Rachel Culbreth, Paul M Wax, Jeffery Brent, Kim Aldy, Toxicology Investigators Consortium Study Group

Faculty, Staff and Student Publications

Since 2010, the American College of Medical Toxicology (ACMT) Toxicology Investigators Consortium (ToxIC) has maintained the ToxIC Core Registry, a national case registry of in-hospital and clinic patient consultations submitted by medical toxicology physicians. Deidentified patient data entered into the registry includes patient demographics, reason for medical toxicology evaluation, exposure agents, clinical signs and symptoms, treatments and antidotes administered, and mortality. This fourteenth annual report provides data from 7392 patients entered into the Core Registry in 2023 by 36 participating sites comprising 61 distinct healthcare facilities, bringing the total case count to 102331 between 2010 and 2023. Ethanol was the …

Intimate Partner Violence And Parenting, Jeff R Temple, Elizabeth Baumler, Leila Wood

Faculty, Staff and Student Publications

This cohort study evaluates parental stress and protective factors mitigating risks for child maltreatment in the context of intimate partner violence.

Abstinence Beliefs In Early Adolescence And Sexual Risk Behavior Two Years Later, Shristi Bhochhibhoya, Briana Edison, Elizabeth R Baumler, Christine M Markham, Susan T Emery, Melissa F Peskin, Ross Shegog, Robert C Addy, Jeff R Temple, Dennis E Reidy

Faculty, Staff and Student Publications

Introduction: The United States has the highest teen pregnancy rate and sexually transmitted infection rates among developed countries. One common approach that has been implemented to reduce these rates is abstinence-only-until-marriage programs that advocate for delaying sexual intercourse until marriage. These programs focus on changing adolescents' beliefs toward abstinence until marriage; however, it is unclear whether adolescents' beliefs about abstinence predict their sexual behavior, including sexual risk behavior (SRB). An alternative approach may be encouraging youth to delay their sexual debut until they reach the age of maturity, but not necessarily until marriage.

Methods: To address this question, we compare …

Disciplinary Differences And Scholarly Literature: Faculty Experiences With Discovery, Browsing, And Format, Chad E. Buckley, Rachel E. Scott, Anne Shelley, Cassie Thayer-Styes, Julie A. Murphy

Faculty and Staff Publications – Milner Library

This study reports faculty experiences regarding the discovery of scholarly content, highlighting similarities and differences across a range of academic disciplines. The authors interviewed twenty-five faculty members at a public, high-research university in the Midwest to explore the intersections of discovery, browsing, and format from diverse disciplinary perspectives. Although most participants rely on similar discovery tools such as library catalogs and databases and Google Scholar, their discovery techniques varied according to the discipline and type of research being done. Browsing is not a standard method for discovery, but it is still done selectively and strategically by some scholars. Journal articles …

Equipping Future Physicians With Artificial Intelligence Competencies Through Student Associations, Spencer Hopson, Carson Mildon, Kyle Hassard, Paul Urie, Dennis Della Corte

Faculty Publications

Advances in artificial intelligence (AI) in the medical sector necessitate the development of AI literacy among future physicians. This article explores the pioneering efforts of the AI in Medicine Association (AIM) at Brigham Young University, which offers a framework for undergraduate pre-medical students to gain hands-on experience, receive principled education, explore ethical considerations, and learn appraisal of AI models. By supplementing formal, university-organized pre-medical education with a student-led, faculty-supported introduction to AI through an extracurricular academic association, AIM alleviates apprehensions regarding AI in medicine early and empowers students preparing for medical school to navigate the evolving landscape of AI in …

Gradualreality: Enhancing Physical Object Interaction In Virtual Reality Via Interaction State-Aware Blending, Hyuna Seo, Juheon Yi, Rajesh Krishna Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

We present GradualReality, a novel interface enabling a Cross Reality experience that includes gradual interaction with physical objects in a virtual environment and supports both presence and usability. Daily Cross Reality interaction is challenging as the user’s physical object interaction state is continuously changing over time, causing their attention to frequently shift between the virtual and physical worlds. As such, presence in the virtual environment and seamless usability for interacting with physical objects should be maintained at a high level. To address this issue, we present an Interaction State-Aware Blending approach that (i) balances immersion and interaction capability and (ii) …

Consequences Of How Third Sector Organisations Are Commissioned In The Nhs And Local Authorities In England: A Mixed-Methods Study, Rod Sheaff, Angela Ellis Paine, Mark Exworthy, Alex Gibson, Joanna Stuart, Véronique Jochum, Pauline Allen, Jonathan Clark, Russell Mannion, Sheena Asthana

Peninsula Medical School

Background: As a matter of policy, voluntary, community and social enterprises contribute substantially to the English health and care system. Few studies explain how the National Health Service and local authorities commission them, what outputs result, what contexts influence these outcomes and what differentiates this kind of commissioning. Objectives: To explain how voluntary, community and social enterprises are commissioned, the consequences, what barriers both parties face and what absorptive capacities they need. Design: Observational mixed-methods realist analysis: exploratory scoping, cross-sectional analysis of National Health Service Clinical Commissioning Group spending on voluntary, community and social enterprises, systematic comparison of case studies, …

Impact-Free Gaits For Planar Bipeds: Changing Walking Speed And Gait, Aakash Khandelwal, Nilay Kant, Ranjan Mukherjee

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The problems of changing the walking speed and stride length of impact-free gaits for point-foot planar bipeds are addressed. The impact-free gaits are designed using an approach developed in prior work. It is shown that the impulse controlled Poincaré map (ICPM) approach can be modified to transition between orbits defining gaits with different walking speeds, and the continuous controller can be changed during the swing phase to transition between gaits that have distinct stride lengths. The effectiveness of the approaches is demonstrated using simulations carried out on a five-link biped.

Iterative Correction Of Robotic Grinding Using Spatial Feedback For Precision Applications, Philip A. Olubodun, Joseph D. Fischer, Douglas A. Bristow

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Since the advent of robots, many tasks that were originally performed by humans have now been tasked to industrial robots. From a manufacturing standpoint, robots have primarily been used in pick-and-place or other non-machining operations that require high repeatability. However, with the increasing availability of CAD/CAM software and the development of high-precision metrology, comes the opportunity to integrate robots into a wider variety of manufacturing processes through the use of feedback control. One such machining operation that is being explored is precision grinding of metal parts. Most other work in this area has focused on force regulation to improve grind …

A Feedforward Kinematic Error Controller With An Angular Positioning Deviations Model For Backlash Compensation Of Industrial Robots, Mitchell R. Woodside, Tian Hao Cui, John Emelko, Soichi Ibaraki, Robert G. Landers, Douglas A. Bristow

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The accuracy of industrial robots, typically on the order of several millimeters, has inhibited their adoption in advanced aerospace manufacturing applications, such as robotic machining. For this reason, extensive investigations have been conducted to develop solutions to improve their accuracy. These solutions can be categorized into offline and online compensation strategies, both of which have advantages and limitations. Offline compensation has been shown to improve the accuracy of industrial robots by two to three orders of magnitude; however, the sensitivity of these solutions to environmental changes and external disturbances can degrade their performance. In contrast, online compensation, which utilizes real-time …

Wind Shear Induced Tornados With Full Thermodynamic Effects, Kakkattukuzhy M. Isaac

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Wind shear-induced Tornado behavior under full thermodynamic formulation using the ideal gas equation is investigated. The computational fluid dynamics model that includes the energy equation is used to obtain solutions of a natural-scale tornado under pressure and temperature boundary conditions that account for their variations vs. altitude in the atmosphere. The present results show significant differences from previous isothermal simulations and those using the Boussinesq model for buoyancy under small temperature differences. Results show that the downdraft observed in tornados originating from supercells, often accompanied by rain and hail can be captured using the present model that simulates the genesis, …

Themis: Automatic And Efficient Deep Learning System Testing With Strong Fault Detection Capability, Dong Huang, Tsz On Li, Xiaofei Xie, Heming Cui

Research Collection School Of Computing and Information Systems

Deep Learning Systems (DLSs) have been widely applied in safety-critical tasks such as autopilot. However, when a perturbed input is fed into a DLS for inference, the DLS often has incorrect outputs (i.e., faults). DLS testing techniques (e.g., DeepXplore) detect such faults by generating perturbed inputs to explore data flows that induce faults. Since a DLS often has infinitely many data flows, existing techniques require developers to manually specify a set of activation values in a DLS’s neurons for exploring fault-inducing data flows. Unfortunately, recent studies show that such manual effort is tedious and can detect only a tiny proportion …

Exploring Conversations Between A Practitioner And A Person With Dementia, Kotaro Hara, Rosiana Natalie, Wei Soon Cheong, Jingjing Gu, Qianli Xu

Research Collection School Of Computing and Information Systems

In social service centers, practitioners engage in conversations with clients with dementia to facilitate their daily activities and provide support when they are distressed. However, the nature of the care demands the practitioner’s active engagement, which becomes difficult to deliver as the number of people who need care expands. Researchers have been investigating the efficacy of developing agents that assume conversational tasks to alleviate this work. To contribute to the future design of agents for caregiving, we collected and analyzed ten conversations between clients with mild dementia and practitioners who provide care. Our analyses of turn-taking dynamics and dialogue acts …

Efficient Cascaded Multiscale Adaptive Network For Image Restoration, Yichen Zhou, Pan Zhou, Teck Khim Ng

Research Collection School Of Computing and Information Systems

Image restoration, encompassing tasks such as deblurring, denoising, and super-resolution, remains a pivotal area in computer vision. However, efficiently addressing the spatially varying artifacts of various low-quality images with local adaptiveness and handling their degradations at different scales poses significant challenges. To efficiently tackle these issues, we propose the novel Efficient Cascaded Multiscale Adaptive (ECMA) Network. ECMA employs Local Adaptive Module, LAM, which dynamically adjusts convolution kernels across local image regions to efficiently handle varying artifacts. Thus, LAM addresses the local adaptiveness challenge more efficiently than costlier mechanisms like self-attention, due to its less computationally intensive convolutions. To construct a …

Densetrack : Drone-Based Crowd Tracking Via Density-Aware Motion-Appearance Synergy, Yi Lei, Huilin Zhu, Jingling Yuan, Guangli Xiang, Xian Zhong, Shengfeng He

Research Collection School Of Computing and Information Systems

Drone-based crowd tracking faces difficulties in accurately identifying and monitoring objects from an aerial perspective, largely due to their small size and close proximity to each other, which complicates both localization and tracking. To address these challenges, we present the Density-aware Tracking (DenseTrack) framework. DenseTrack capitalizes on crowd counting to precisely determine object locations, blending visual and motion cues to improve the tracking of small-scale objects. It specifically addresses the problem of cross-frame motion to enhance tracking accuracy and dependability. DenseTrack employs crowd density estimates as anchors for exact object localization within video frames. These estimates are merged with motion …

Beat-It : Beat-Synchronized Multi-Condition 3d Dance Generation, Zikai Huang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Chenxi Zheng, Jing Qin, Shengfeng He

Research Collection School Of Computing and Information Systems

Dance, as an art form, fundamentally hinges on the precise synchronization with musical beats. However, achieving aesthetically pleasing dance sequences from music is challenging, with existing methods often falling short in controllability and beat alignment. To address these shortcomings, this paper introduces Beat-It, a novel framework for beat-specific, key pose-guided dance generation. Unlike prior approaches, Beat-It uniquely integrates explicit beat awareness and key pose guidance, effectively resolving two main issues: the misalignment of generated dance motions with musical beats, and the inability to map key poses to specific beats, critical for practical choreography. Our approach disentangles beat conditions from music …

Graph Continual Learning With Debiased Lossless Memory Replay, Chaoxi Niu, Guansong Pang, Ling Chen

Research Collection School Of Computing and Information Systems

Real-life graph data often expands continually, rendering the learning of graph neural networks (GNNs) on static graph data impractical. Graph continual learning (GCL) tackles this problem by continually adapting GNNs to the expanded graph of the current task while maintaining the performance over the graph of previous tasks. Memory replay-based methods, which aim to replay data of previous tasks when learning new tasks, have been explored as one principled approach to mitigate the forgetting of the knowledge learned from the previous tasks. In this paper we extend this methodology with a novel framework, called Debiased Lossless Memory replay (DeLoMe). Unlike …

Promise And Peril Of Collaborative Code Generation Models : Balancing Effectiveness And Memorization, Zhi Chen, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

In the rapidly evolving field of machine learning, training models with datasets from various locations and organizations presents significant challenges due to privacy and legal concerns. The exploration of effective collaborative training settings, which are capable of leveraging valuable knowledge from distributed and isolated datasets, is increasingly crucial. This study investigates key factors that impact the effectiveness of collaborative training methods in code next-token prediction, as well as the correctness and utility of the generated code, showing the promise of such methods. Additionally, we evaluate the memorization of different participant training data across various collaborative training settings, including centralized, federated, …

Precise Measurements Of Tev Halos Around Geminga And Monogem Pulsars With Hawc, A. Albert, R. Alfaro, C. Alvarez, J. C. Arteaga-Velázquez, D. Avila Rojas, H. A. Ayala Solares, R. Babu, E. Belmont-Moreno, A. Bernal, K. S. Caballero-Mora, T. Capistrán, A. Carramiñana, S. Casanova, U. Cotti, J. Cotzomi, S. Coutiño De León, E. De La Fuente, D. Depaoli, N. Di Lalla, R. Diaz Hernandez, B. L. Dingus, M. A. Duvernois, M. Durocher, J. C. Diaz-Velez, K. Engel, C. Espinoza, K. L. Fan, K. Fang, N. Fraija, K. A. Garcia-Gonzalez, F. Garfias, H. Goksu, M. M. Gonzalez, J. A. Goodman, S. Groetsch, J. P. Harding, S. Hernandez-Cadena, I. Herzog, P. Huntemeyer, D. Huang, F. Hueyotl-Zahuantitla, A. Iriarte, V. Joshi, S. Kaufmann, D. Kieda, A. Lara, W. H. Lee, J. Lee, H. Leon Vargas, J. T. Linnemann, A. L. Longinotti, G. Luis-Raya, K. Malone, O. Martinez, J. Martinez-Castro, J. A. Matthews, P. Miranda-Romagnoli, J. A. Montes, J. A. Morales-Soto, E. Moreno, M. Mostafa, A. Nayerhoda, L. Nellen, R. Noriega-Papaqui, L. Olivera-Nieto, N. Omodei, Y. Perez Araujo, E. G. Perez-Perez, C. D. Rho, D. Rosa-Gonzalez, H. Salazar, D. Salazar-Gallegos, A. Sandoval, M. Schneider, G. Schwefer, J. Serna-Franco, Y. Son, R. W. Springer, O. Tibolla, K. Tollefson, I. Torres, R. Torres-Escobedo, R. Turner, F. Urena-Mena, E. Varela, L. Villasenor, Xiaojie Wang, I. J. Watson, E. Willox, H. Wu, S. Yun-Carcamo, H. Zhou, M. Di Mauro

Physics Faculty Research & Creative Works

We present the most precise measurements to date for the spatial extension and energy spectrum of the γ-ray region between a pulsar's wind nebula and the interstellar medium, better known as the halo, present around Geminga and PSR B0656+14 (Monogem) using ∼2398 days of >1 TeV data collected by the HAWC observatory. We interpret the data using a physically motivated model for the diffuse γ-ray emission generated from positrons and electrons (e^±) injected by the pulsar wind nebula and inverse Compton scattering with interstellar radiation fields. We find the morphologies of the regions inside these halos are characterized …

Cobalt Molybdenum Telluride As An Efficient Trifunctional Electrocatalyst For Seawater Splitting, Rajarshi Kar, Amideddin Nouralishahi, Harish Singh, Manashi Nath

Chemistry Faculty Research & Creative Works

A mixed-metal ternary chalcogenide, cobalt molybdenum telluride (CMT), has been identified as an efficient tri-functional electrocatalyst for seawater splitting, leading to enhanced oxygen evolution reaction (OER), hydrogen evolution reaction (HER), and oxygen reduction reaction (ORR). The CMT was synthesized by a single step hydrothermal technique. Detailed electrochemical studies of the CMT-modified electrodes showed that CMT has a promising performance for OER in the simulated seawater solutions, exhibiting a small overpotential of 385 mV at 20 mA cm⁻², and superior catalyst durability for prolonged period of continuous oxygen evolution. Interestingly, while gas chromatography analysis confirmed the evolution of oxygen …

Development Of Malate Biosensor-Containing Hydrogels And Living Cell-Based Sensors, Nathan J. Ricks, Monica Brachi, Kevin Mcfadden, Rohit G. Jadhav, Shelley D. Minteer, Ming C. Hammond

Chemistry Faculty Research & Creative Works

Malate is a key intermediate in the citric acid cycle, an enzymatic cascade that is central to cellular energy metabolism and that has been applied to make biofuel cells. To enable real-time sensing of malate levels, we have engineered a genetically encoded, protein-based fluorescent biosensor called Malon specifically responsive to malate by performing structure-based mutagenesis of the Cache-binding domain of the Citron GFP-based biosensor. Malon demonstrates high specificity and fluorescence activation in response to malate and has been applied to monitor enzymatic reactions in vitro. Furthermore, we successfully incorporated Malon into redox polymer hydrogels and bacterial cells, enabling analysis of …

Performance Of Project Delivery Methods For Us Airport Projects: A Holistic Quantitative Risk-Based Assessment Through Perceptions Of Associated Industry Experts, Ramy Khalef, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The aviation sector received an underperforming D+ score, indicating its deteriorating qualities in comparison with the overall US infrastructure. In response, US governmental bodies issued investment bills that target the improvement of the nation's airport system. Airport projects are still being implemented through design-bid-build (DBB), which is notorious for its ineffective risk shift, low contractor input, and poor cost and schedule performance. Studies show that design-build (DB) possesses prospective cost and schedule benefits. Despite this, there is still reluctance toward DB's usage in airport projects. Moreover, current studies lack in offering frameworks that assist airport practitioners in guiding stakeholders toward …

Kinetic Modeling Of Dust Grain Dynamics In Electrostatic Sieving, Aaron Berkhoff, Easton Ingram, Fateme Rezaei, Jeffrey Smith, David Bayless, William Schonberg, Daoru Han

Chemical and Biochemical Engineering Faculty Research & Creative Works

A new kinetic particle modeling framework was developed to investigate electrostatic transport of lunar regolith dust particles with applications to the concept of electrostatic sieving. the new approach is based on kinetic particle dynamics and includes major modules of sampling the particle size distribution, solving electric fields, and tracking motion of charged dust grains. a case study for a concept of electrostatic sieving was chosen to validate the new model. the simulation achieved similar performance of particle size classification as reported in the literature. the new model is computationally efficient (takes a few minutes on a PC-type laptop computer) so …

Reflections On Linear B (Part 4): Linear B Sign 51 From The Egyptian Beetle-God Khepri, Gerald Leonard Cohen

Arts, Languages and Philosophy Faculty Research & Creative Works

No abstract provided.

Challenges Facing The Utilization Of Mobile Telephony In Learning In Some Selected Higher Institutions Of Learning In Nigeria, Ogonwa Jacinta, Okoh Helen Ewere, Okoledo Seromo, Ufuoma Eruvwe

Library Philosophy and Practice (e-journal)

The study investigated challenges facing the utilization of mobile telephony in learning in some selected higher institutions of learning in Nigeria. The study adopted a descriptive survey using questionnaire to collect data. The population of the study consist of 355 students which were randomly picked from some selected higher institutions of learning in Nigeria. A total of the 355questionnaires were distributed only 309 were retrieved. Descriptive statistics, (mean and percentage) were used for analysis. A mean score of 2.5 and above and a percentage score of 50% were considered for decision making. The study revealed the following as the prospects …