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Faculty Senate Agenda December 1, 2025, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• 3:00 Call to Order
• Approval of Minutes - November 3, 2025
• 3:05 University Business
• 3:20 Faculty Senate Business
• 3:30 Information
• EPC Report - November 6, 2025
• 3:45 Report
• Honors Program Annual Report
• USUSA Annual Report
• Faculty Evaluation Committee
• Academic Freedom and Tenure
• 4:10 Old Business
• 4:15 New Business
• Faculty Forum
• Adjourn: 4:30 pm

An Objective Method To Locate Shear Lines During The Northeast Monsoon Season In The Philippines, Lyndon Mark P. Olaguera, John A. Manalo, Jun Matsumoto, Faye Abigail T. Cruz, Jose Ramon T. Villarin

SOSE Affiliate: Manila Observatory

The shear line is a narrow zone of maximum horizontal wind shear, typically identified as a confluence zone of low-level wind streams. Previous studies showed that this system can trigger heavy to extreme rainfall events in the Philippines during the northeast monsoon season. However, a research gap remains in objectively identifying and locating this system. Thus, this study develops a detection method that may be used for monitoring and forecasting the location of shear lines. Results show that the gradient of meridional winds in the y-direction (∂V925hPa/∂y), the boundary layer moisture flux convergence, and the 925 hPa relative vorticity may …

Quality Improvement Project: Effects Of Ongoing Clinical Education Training On Nursing Faculty’S Self-Efficacy In Clinical Education, Sarah Ferguson

Doctor of Nursing Practice Projects

Clinical education is essential for bridging theory and practice in nursing education, yet many clinical instructors transition from expert bedside nurses to novice educators without adequate orientation and training. This quality improvement project examined the effects of ongoing clinical education training on nursing faculty self-efficacy at a satellite nursing school in North Texas. This project, guided by Patricia Benner’s Novice to Expert framework and Lewin’s change model, aimed to determine whether continuous professional development throughout the term would increase clinical faculty confidence compared to standard onboarding alone. A descriptive pre/post design was used, with the Clinical Nursing Teacher Self-Efficacy Scale …

November 25, 2025, Pacific Global

Pacific Global Newsletter

No abstract provided.

A Feature-Free Deep Learning Approach For Midair Hand Gesture Recognition From Surface Electromyogram (Semg) Data, Yasir Altaf, Abdul Wahid, Mudasir Manzoor Kirmani

Turkish Journal of Electrical Engineering and Computer Sciences

Midair hand gesture recognition plays a crucial role in applications such as sign language recognition and human-computer interaction, particularly for supporting individuals with partial or complete hearing loss. However, recognizing gestures in midair remains challenging due to the rapid and complex nature of hand movements. To address this, noninvasive techniques like surface electromyography (sEMG)—which captures muscle activity through sensors placed on the skin—have gained attention. sEMG provides rich time-series data that reflect both spatial and temporal muscle dynamics. In this study, we propose a deep learning architecture that combines convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to classify …

Integrated Log Spectrogram Convolutional Neural Network (Ils-Cnn) For Robust Spoken Digit Recognition, Awais Ahmed

Turkish Journal of Electrical Engineering and Computer Sciences

Spoken digit recognition (SDR), a type of supervised automatic speech recognition, is essential for various human-machine interaction applications, including banking operations, dialing systems, price extraction, and airline reservation systems. However, designing an effective SDR system presents several challenges, such as developing labeled audio data, selecting appropriate feature extraction methods, and creating high-performance models. To overcome these challenges, a novel approach for robust spoken digit recognition using an integrated log spectrogram convolutional neural network (ILS-CNN) has been proposed. The proposed work presents an efficient SDR method by taking advantage of a log spectrogram layer directly within the neural network to enhance …

Railway Track Condition Monitoring Based On Sensor Data And Artificial Neural Networks, Ivan Kots, Alina Isaeva, Mark Denisenko, Alexander Sinyukin, Andrey Kovalev

Turkish Journal of Electrical Engineering and Computer Sciences

Monitoring the condition of engineering objects is one of the urgent tasks of industry, construction, and transport infrastructure. This article describes a system for condition monitoring and diagnostics of rail tracks in real time. Compared with other similar studies, the proposed system has the advantages of compactness, usability, scalability and versatility of application. The proposed monitoring system is based on an Nvidia Jetson Nano embedded computing board and also includes inertial sensor modules, a microphone, a geolocation module, communication modules, an SSD storage device, and a battery. The prototype of the diagnostic module is a portable device that can be …

Modeling And Simulation Of Dynamic Energy Management Systems For Smart Buildings, Onur Özel, Ali̇ Rifat Boynueğri̇, Hayri̇ Yi̇ği̇t, Burak Tekgün

Turkish Journal of Electrical Engineering and Computer Sciences

This study presents a dynamic energy management system tailored for smart residential buildings, integrating thermal and electrical models to achieve both natural gas and electricity bill cost reduction. By harnessing wind and solar energy sources, the system aims to meet the diverse energy needs of modern homes. Through load shifting and thermal storage strategies, known as power-to-heat (P2H) approaches, the system ensures efficient renewable energy utilization while maintaining resident comfort. Validation of the proposed system was conducted using real-world data from the Yıldız Technical University Smart Home Laboratory, demonstrating its practical applicability and effectiveness. Results indicate significant reductions in both …

Grey Wolf Optimization Of Pi Controller For Power Management In Wind Farms: A Novel Approach, Anis Feddaoui, Lotfi Farah, Abdelouahab Benretem, Mohammed Abdeldjalil Djehaf

Turkish Journal of Electrical Engineering and Computer Sciences

This study proposes a novel power management strategy for wind farms using a grey wolf optimization (GWO)-based PI controller. The method aims to enhance active and reactive power control in systems employing dou bly fed induction generators. Three control strategies are evaluated—namely, a classical frequency-domain PI controller, an Artificial Neural Network (ANN)-based controller, and the proposed GWO-based PI controller—the last of which represents the main contribution. The classical PI and ANN controllers are included strictly for comparative bench marking. MATLAB simulations demonstrate that the GWO-beased PI controller offers superior dynamic performance, particularly in settling time and overshoot reduction. A power …

Performance Analysis Of Ris-Empowered Ofdm-Im Communications Under Weibull Fading And Joint Tx/Rx I/Q Imbalance, Büşra Ceni̇kli̇oğlu, İbrahi̇m Develi̇, Ayşe Eli̇f Canbi̇len

Turkish Journal of Electrical Engineering and Computer Sciences

A modernist technique, reconfigurable intelligent surface (RIS) provides outstanding signal reflection and amplification, making it highly valuable for upcoming communication systems. Besides, a major contributor is index modulation (IM), attaining superior spectral and energy efficiency, and achieving hardware sufficiency. The primary and novel contribution of this work is the derivation of a highly accurate, closed-form approximate expression for the average bit error rate (ABER) of an orthogonal frequency division multiplexing (OFDM)-IM system operating in the complex and challenging environment characterized by joint transmitter/receiver (Tx/Rx) in-phase and quadrature phase imbalance (IQI) and Weibull fading. This essential analytical achievement is facilitated by …

Preserve The Harvest: Canning Goat Meat At Home, Callie Adams, Andrea Schmutz

All Current Publications

Due to its lean composition and nutritional profile similar to those of other tested meats, goat is well-suited for pressure canning. Follow USDA and Utah State University (USU) Extension altitude guidelines. This fact sheet provides guidelines for selecting high-quality meat, using proper equipment, and adhering to tested methods. Home canners can safely preserve goat meat and enjoy its benefits year-round.

Meshed Trees: A Framework For Resilient Network Algorithms And Protocols, Peter Willis

Theses

The continued growth of computer networks in both size and complexity presents challenges for the control protocols that are tasked with maintaining optimal data-forwarding paths. These protocols commonly rely on shortest-path algorithms to determine where network data should be propagated and how it should be analyzed for inclusion in forwarding tables. However, problems arise during reconvergence, the process in which devices rediscover optimal paths following a network failure. Because control protocols were built decades ago for the networks of that era, the existing shortest-path algorithms utilized were designed for problems before the advent of modern computer networks. This resulted in …

The Seed That Begot America: How Political Principles Of The Reformation Contributed To The American Founding, Gabriel Stisser

Senior Honors Theses

When teaching the American founding, the contemporary public-school curriculum tends to emphasize the influence of the thinkers from the antiquity and Enlightenment periods. However, the curriculum tends to neglect the impact that the Reformation had upon America's formation. Through a qualitative historical review, this study will analyze both primary and secondary sources to examine how Reformed ideals of the political covenant, limited government, and resistance to tyranny influenced the American founding. This analysis finds that the Reformed (sometimes called Calvinist) political ideals from the Reformation had a significant influence upon the formation of the New England colonies, the enlightenment figures …

Quality Improvement Project: Improving Providers’ Self-Efficacy In Facilitating Mat Usage Through Educational Training, Joshua W. Moore

Doctor of Nursing Practice Projects

Opioid Use Disorder (OUD) and Alcohol Use Disorder (AUD) are common diseases treated in detox facilities around the world. Medication-assisted treatment (MAT) is the most effective treatment for OUD and AUD. Despite the need for MAT, many providers do not prescribe lifesaving medications due to a lack of knowledge and confidence. The purpose of this quality improvement project at a local detox facility is to answer the question: What effect on providers’ self-efficacy in facilitating MAT usage upon discharge does educational training have? Under the Social Cognitive Theory (SCT), self-efficacy was targeted using the Plan-Do-Study-Act (PDSA) change model. The aim …

The Impact Of Adverse And Positive Childhood Experiences And Moral Injury On Compassion Fatigue Among Law-Enforcement Officers And First-Responders, Kaylee Nesland

Doctor of Psychology (PsyD)

More than ever, United States law enforcement officers are overworked, under-trained, and exposed to a great deal of trauma. Societal pressure to display strength and resilience, as well as fears of judgement and loss of job security, inhibit law enforcement officers from accessing psychological treatment and support (Drew & Martin, 2021). Without mental health support in place, compassion fatigue reveals itself, ultimately causing hurt and damage to individuals in law enforcement and those they interact with. This study examined whether adverse or positive childhood experiences affect compassion fatigue among law enforcement officers. Participants of this study—current and historical law enforcement …

A Comprehensive Analysis Of Türkiye’S Beaches: Spatial Distribution, Morphometry, And Human Impacts, Muhammed Zeynel Öztürk, Berkay Yilmaz, Abdullah Soykan

Turkish Journal of Earth Sciences

The classification and morphometric characteristics of beaches is crucial for understanding coastal dynamics, evaluating natural and anthropogenic pressures, and supporting effective coastal management and conservation strategies. This is particularly important for countries like Türkiye, where extensive and diverse coastlines play a key role in tourism, the economy, and ecological sustainability. This study presents the first comprehensive, nationwide inventory and characterisation of Türkiye’s beaches, encompassing its 8483 km coastline. Using satellite imagery, 6110 beaches were identified and classified according to environmental conditions, with analyses conducted on their morphological characteristics, sea boundaries, and provincial distributions. The results show that rocky coast and …

Comment On Proposed Mlsa Lay Advocacy Program, Brianne Holland-Stergar

Faculty Journal Articles & Other Writings

Montana faces a severe justice gap: nearly half of low-income residents have unmet civil legal needs, and rural counties lack attorneys. High costs, distance, and cultural barriers make traditional solutions ineffective. The Montana Legal Services Association proposes a Certified Lay Advocate Program to training community-based advocates to provide free, specialized legal help under supervision of a lawyer. This model, which has proven successful in Alaska and other states, is evidence-backed, expands access to the law, reduces costs, and delivers culturally competent assistance for critical issues like domestic violence and housing.

The Use Of Less-Lethal Force By Law Enforcement: A Legal Analysis Of Civil Liability Cases In The Use Of Bean Bags And Rubber Bullets In Policing, Kenneth Lomenzo, Joshua Rosenbaum, Nathan Cronin, Mason Meyers, Akramul Hasan

Journal of Criminal Justice and Law

The use of less-lethal weapons such as bean bag rounds and rubber bullets has become a prominent and controversial mark of contemporary policing. Although these munitions are designed to incapacitate without resorting to deadly force, their deployment has resulted in serious injuries, fatalities, and a growing body of litigation. This article examines how federal appellate courts have addressed such cases through a systematic legal content analysis of 16 decisions issued between 1999 and 2025. Each case involved a claim under 42 U.S.C. § 1983 alleging excessive force in violation of the Fourth Amendment. The analysis considers judicial reasoning, liability outcomes, …

Regional Sustainability Gap Index (Rsgi): A White Paper, Rob Ogburn, Bill Provaznik, Keke Wu

Business & Community Services

The Regional Sustainability Gap Index (RSGI) is a new measure designed to assess whether a region is on a sustainable economic path for its residents. The index combines two components: Mi, which measures the current wage gap between a county and the most economically active county in the state, and Ri, which measures each county’s wage-growth trajectory relative to that same frontier county. Together, Mi and Ri reveal not only a region’s present wage altitude but also the direction in which that wage horizon is moving. In Washington State, Mi reflects the distance between a county’s median wages and King …

Improving Dynamic Balance And Gait Adaptation With Ischemic Conditioning Post-Stroke, Stephanie Christine Wolfe

Dissertations (1934 -)

The purpose of this dissertation was to quantify the benefits of ischemic conditioning on reactive balance responses and gait adaptation during treadmill walking in chronic stroke survivors. Reactive balance and gait adaptations are believed to be limited in this population. Ischemic conditioning is an emerging adjunct to physical therapy that improves motor function post-stroke via improvements in strength, voluntary muscle activation, walking speed, and fatigability. Here, we quantified how ischemic conditioning could impact performance of a more complex task: altering gait to meet various perturbing conditions. Specifically, we quantified mediolateral margin of stability in response to lateral cable pulls (both …

Comparative Analysis Of 2d And 3d Gait Metrics From Video Using Deep Learning Techniques, Akhilesh Singh Kushwaha

Electronic Theses and Dissertations 2020 - Present

This thesis presents a comparative evaluation of two deep learning-based methods for extracting 2D and 3D gait metrics from monocular video: a 2D-to-3D lifting approach combining AlphaPose for keypoint detection with MotionBERT for temporal 3D reconstruction, and a direct 3D estimation method using MeTRAbs. Videos of two healthy adults walking across a ProtoKinetics Zeno™ Walkway were captured laterally at 4K/60 fps using an iPhone 16. Ground-truth spatiotemporal gait parameters were obtained from the pressure-sensitive mat, enabling quantitative validation via Mean Absolute Error (MAE) and Pearson correlation. MeTRAbs consistently outperformed the lifting pipeline, achieving MAE below 2% for temporal metrics (e.g., …

Assessing The Hurricane Inland Wind Exposure Along The U.S. Coastal States, Naomi Von Bose

Electronic Theses and Dissertations 2020 - Present

Landfalling tropical cyclones (TCs) are among the most destructive U.S. natural hazards, and recent storms show that damaging winds and flooding often extend far inland. This study examines inland TC wind exposure across coastal states from Texas to North Carolina using HURDAT2 data (1900–2024). Following Zhu et al. (2023), an exponential decay interpolation model and an Accumulated Cyclone Energy (ACE) framework were applied to capture continuous variations in intensity and duration. Results show that TC winds can persist hundreds of kilometers inland, with States experiencing ACE levels comparable to some coastal counties. Incorporating storm structure through the radius of maximum …

Assessing The Validity Of The Mental Health–Related Survey In Collegiate Student-Athletes, Lindsey Keenan, Zachary K. Winkelmann, Luis Torres, Yvette Ingram, Rachel Daltry

Department of Kinesiology Scholarship and Creative Works

Context

Mental health screenings are recommended during preparticipation physical examinations. The Mental Health–Related Survey (MHRS), a 9-item questionnaire adapted from the 18-item Mental Health Screening Form-III, is suggested in 3 consensus and/or position statements. However, there is no evidence on the effectiveness of the MHRS.

Objective

To assess the validity of the MHRS for mental health screening in collegiate student-athletes.

Design

Cross-sectional study.

Setting

University athletic program.

Patients or Other Participants

Five hundred fifteen National Collegiate Athletic Association Division II student-athletes (age = 20 ± 1 years).

Main Outcome Measure(s)

Participants completed the MHRS, the Patient Health Questionnaire for depression …

Examining Predictors Of Mindfulness-Based Stress Reduction Participation Among Breast Cancer Patients: Insights From The Theory Of Planned Behavior, Maxine Rose Duncan, Maxine Rose Duncan

Journal of Social, Behavioral, and Health Sciences

The current study explored the factors influencing female breast cancer patients’ intentions to attend mindfulness-based stress reduction (MBSR) programs in Texas, utilizing the Theory of Planned Behavior (TPB) as the guiding framework. MBSR is a widely recognized stress management intervention shown to improve psychological well-being, yet its adoption among this population remains limited. The current study specifically examined the relationships between attitudes, subjective norms, and perceived behavioral control in predicting intentions to participate. A quantitative, cross-sectional survey design was employed, with 60 participants recruited via social media and support groups (see Appendix A). Data were collected using a validated TPB-based …

We Are Not Okay: Narratives Of Black Women Educators Working With Predominantly White Staff, Lindsay Charlotta Bussey

LMU Theses and Dissertations

Black women educators (BWEs) who worked in schools with a predominantly White staff endured environments that discouraged them from being themselves, oppressed their natural skill set, and limited their effectiveness. BWEs were not typically recognized for their pedagogical strengths and talents but rather only as racial minority representation in the school. This dissertation study’s two central research questions asked (a) how BWEs perceived the challenges and socio-emotional effects of working in school spaces with predominantly White staff and (b) what conditions were needed to be created for BWEs to heal and feel safe. This research utilized qualitative methods and focused …

Fpga-Based Takagi-Sugeno Fuzzy Controller For Quadrotor Uav Stabilization And Trajectory Tracking, Hocine Khati, Mohamed Amine Nehmar, Arezki Fekik, Mohand Achour Touat, Hand Talem, Rabah Mellah

Turkish Journal of Electrical Engineering and Computer Sciences

This study presents the implementation of a fuzzy logic–based control system on a field-programmable gate array (FPGA) for a quadrotor autonomous aerial vehicle (UAV). The objective is to design and integrate six Takagi–Sugeno fuzzy controllers to regulate roll, pitch, and yaw angles, along with longitudinal, latitudinal, and altitude movements, thereby stabilizing the UAV and enabling it to follow a desired trajectory. Due to the computational complexity of the six controllers, achieving the desired performance requires considerable processing time, which can adversely affect the quadrotor’s mission. Owing to their high processing power and operating frequency, FPGAs enable the control algorithm to …

Exploring The Link Between Emotional States And Coding Task Quality: A Pilot Study, Aquib Reshad, Valentina Nino, Maria Valero, Adriane Randolph, Yang Shi

Faculty Articles

Emotions play a crucial role in shaping cognitive performance, yet their influence on programing remains understudied. This pilot study investigates the relationship between emotional states and coding task quality. Ten participants completed a programing task while their brain activity was recorded using electroencephalography (EEG), with frontal alpha asymmetry (FAI) applied as a neural marker of emotional valence. Emotional self-reports were collected using the Scale of Positive and Negative Experience (SPANE), and coding quality was evaluated through a structured rubric. Preliminary findings indicate a potential association between FAI and coding performance, whereas self-reported affect showed weaker or inconsistent patterns. Given the …

Advances In Artificial Intelligence For Glioblastoma Radiotherapy Planning And Treatment, Reid Master, Nesha Rubin, James Sampson, Kamlesh K Yadav, Shruti Pandita, Aria Sabbagh, Anika Krishnan, Patrick J Silva, Kenneth S Ramos, Vincent Gregoire, Nikos Paragios, Sunil Krishnan, Tej K Pandita

The Brown Foundation: Institute of Molecular Medicine

Glioblastoma is an aggressive central nervous system tumor characterized by diffuse infiltration. Despite substantial advances in oncology, survival outcomes have shown little improvement over the past three decades. Radiotherapy remains a cornerstone of treatment; however, it faces several challenges, including considerable inter-observer variability in clinical target volume delineation, dose constraints associated with adjacent organs at risk, and the persistently poor prognosis of affected patients. Recent advances in artificial intelligence, particularly deep learning, have shown promise in automating radiation therapy mapping to improve consistency, accuracy, and efficiency. This narrative review explores current auto segmentation frameworks, dose mapping, and biologically informed radiotherapy …

Spartan Daily, November 25, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 39

Exploring Future Educators’ Roles In Classroom Aac Use: Insight Into Knowledge, Skills, And Attitudes, Katrina M. King

Honors College Theses

The United States public school system requires the provision of a free and appropriate public education (FAPE) in the least restrictive environment (LRE) for qualifying students with disabilities (U.S. Department of Education, n.d.). Speech, language, and hearing related disabilities are among the qualifying categories (U.S. Department of Education, n.d.). Students with these disabilities may have complex communication needs (CCN), or significant limitations in their speech, language, and communication abilities (Communication Rights Australia, 2018). Augmentative and alternative communication (AAC), a type of assistive technology, offers support for these students, however, several barriers inhibit full communicative participation (American Speech-Language-Hearing Association [ASHA], n.d.-a). …