Digital Commons Network^™

Multi-Crop Systems And Crop-Switching Strategies To Enhance Water Use Efficiency And Climate Resilience In Arid Agricultural Regions, Shahryar Fazli, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Agriculture in the Lower Colorado River (LCR) region faces mounting challenges from climate change, arid conditions, and water scarcity. This study evaluates water use efficiency (WUEc) and crop-switching strategies under SSP2-4.5 and SSP5-8.5 scenarios for 2025–2049, 2050–2074, and 2075–2099. Using historical data, climatic drivers such as temperature and precipitation were analyzed for their influence on key crops, including durum wheat, winter wheat, and corn. Results show SSP2-4.5 supports water use reductions up to 16%, stable profits (80–90%), and modest calorie increases (up to 15%), while SSP5-8.5 poses severe challenges, with water use reductions of 2–5%, profits dropping to around 20%, …

Wildfires Classification In Canadian Boreal Forest: A Comparative Study Of Logistic Regression And Xgboost Models, Brandon Tran, Elijah James Duran, Mike Luu, Hesham Morgan, Surendra Maharjan, Wenzhao Li, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

In recent years, Canada has faced a growing number of wildfires. These events have devastated ecosystems, displaced communities, and posed severe health risks. To minimize the damage caused by such disasters, this study aims to develop an early warning system that predicts wildfire occurrences. Two machine learning models for binary classification of wildfire occurrence in Canadian wild forests, Logistic regression and XGBoost, will be compared and evaluated. The models are used to predict the likelihood of wildfire events based on various environmental and climatic factors. The models are evaluated using a 70-30 split validation approach and their performance is assessed …

Decoding Teleconnection Impacts On Hydrological Switches In The Conus Using Wavelet Analysis, Surendra Maharjan, Wenzhao Li, Shahryar Fazli, Hesham Morgan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Hydrometeorological teleconnections are key drivers of hydrological processes, representing the influence of large-scale atmospheric circulation patterns on regional climates. Understanding these teleconnections provides crucial insights into the mechanisms underlying hydrometeorological phenomena, particularly hydrological switches—rapid transitions between extreme events such as droughts and floods. These switches have become increasingly prevalent across the contiguous United States (CONUS), fueled by climate variability and evolving atmospheric patterns. This study utilizes cross-wavelet transform analysis to examine the spatial and temporal dynamics of hydrological switches and their correlations with major teleconnection indices, including NAO, ONI, WP, PDO, PNA, and QBO. The findings indicate significant coherence between …

Assessing Meteorological Impacts On Hydrological Switches In The Conus, Surendra Maharjan, Wenzhao Li, Sujan Shrestha, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Hydrological switches, defined as rapid transitions between extreme meteorological events such as droughts and floods, are becoming increasingly frequent across the contiguous United States (CONUS) due to climate variability. This study analyzes the spatial and temporal patterns of these hydrological switches and their correlation with large-scale meteorological indices, such as the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI). Streamflow data from the US Geological Survey (USGS) is analyzed to investigate the impact of meteorological drivers on hydrological variability. Results indicate that regions dependent on snowmelt exhibit delayed hydrological responses to climatic conditions, while areas in the Eastern …

Counteracting Cascades Challenge The Heterogeneity-Stability Relationship, Jordi Sola, Tom P. Fairchild, Matthew J. Perkins, James C. Bull, John N. Griffin

School of Biological and Marine Sciences

Spatial environmental heterogeneity is widely assumed to enhance ecological stability by promoting refugia, biodiversity and asynchrony. Yet, we lack field experiments testing this fundamental relationship and its underlying mechanisms in naturally assembled multitrophic systems. To address this gap, we monitored experimental substrates replicating topographic heterogeneity on a rocky shore over 3 years. Contrary to theory, heterogeneity showed no net effect on community stability due to four counteracting pathways. Heterogeneity increased stability by (i) providing refugia that enhanced population stability and (ii) boosting species richness, which promoted asynchrony. At the same time, it decreased stability by (iii) reducing a dominant non-native …

Rapid Dissection And Dissociation Of The Mouse Olfactory Epithelium For Single-Nucleus Suspensions, Benjamin D W Belfort, Anthony M Insalaco, Claude C Chew, Johnathan D Jia, Julia Younis, Benjamin R Arenkiel

Duncan NRI Faculty and Staff Publications

The murine olfactory epithelium is the initial entry point of the olfactory system, housing various cell types that include olfactory sensory neurons, their regenerating progenitors, and support cells. Olfactory sensory neurons transduce chemical odorants into neural signals, yet the mechanisms underlying how these cells develop and turnover, create synapses with the olfactory bulb, and regulate their odorant receptors remain areas of intense study. Located on the dorsal aspect of the nasal cavity, the olfactory epithelium adheres to intricate bony structures known as turbinates. This anatomy poses unique challenges for its extraction and dissociation, especially in the context of preparing viable …

Applying Large Language Models For Surgical Case Length Prediction, Adhitya Ramamurthi, Bhabishya Neupane, Priya Deshpande, Ryan Hanson, Srujan Vegesna, Deborah Cray, Bradley H. Crotty, Melek Somai, Kellie R. Brown, Sachin S. Pawar, Bradley Taylor, Anai N. Kothari

Electrical and Computer Engineering Faculty Research and Publications

Importance Accurate prediction of surgical case duration is critical for operating room (OR) management, as inefficient scheduling can lead to reduced patient and surgeon satisfaction while incurring considerable financial costs.

Objective To evaluate the feasibility and accuracy of large language models (LLMs) in predicting surgical case length using unstructured clinical data compared to existing estimation methods.

Design, Setting, and Participants This was a retrospective study analyzing elective surgical cases performed between January 2017 and December 2023 at a single academic medical center and affiliated community hospital ORs. Analysis included 125493 eligible surgical cases, with 1950 used for LLM fine-tuning and …

Heat-Pipe-Based Thermal Management System Design For A 250-Kw Gan-Based Integrated Modular Motor Drive, Seyed Iman Hosseini Sabzevari, Salar Koushan, Armin Ebrahimian, Towhid Islam Chowdhury, Nathan Weise, Ayman El-Refaie

Electrical and Computer Engineering Faculty Research and Publications

Integrated modular motor drive (IMMD) is an effective approach for realizing high-efficiency, high-power-density, and fault-tolerant electric machines. However, designing an efficient thermal management system (TMS) for the motor drive becomes a challenge, particularly due to space constraints. This article presents the design of a TMS based on 3-mm heat pipes for a 250-kW IMMD intended for aviation applications. The power electronics module is simulated using PLECS software where an electrothermal analysis is conducted. A simplified thermal resistance model of the system is developed to estimate the die junction temperature of gallium nitride (GaN) semiconductors. The performance of the proposed TMS …

Latina Senior-Level Leaders In 2-Year Public Higher Education Institutions In Texas: A Life Story Narrative Study, Monica Yvette Escobar-Leblanc

Electronic Theses and Dissertations

The study was designed to understand the personal and academic experiences of Latinas in senior-level leadership positions in 2-year public higher education institutions in Texas and the impact, if any, of these experiences on their leadership development. Although Latina undergraduate college enrollment has continued to increase, Latinas remain significantly underrepresented in senior-level leadership roles in higher education institutions. Using a life story narrative approach and LatCrit as the theoretical lens, this study examined leadership development across the life span from adolescence to middle adulthood. The thematic analysis of the four Latinas' life story narratives, employed in 2-year public higher education …

Rabi Oscillations And Entanglement Between Two Atoms Interacting By The Rydberg Blockade And With A Quantized Radiation Field Studied By The Jaynes-Cummings Model, Francisco D. Santillan, Andreas Hanke

Physics & Astronomy Faculty Publications

The interaction between atoms and a quantized radiation field is fundamentally important in quantum optics and quantum information science. Due to their unusual properties, Rydberg atoms are promising building blocks for two-qubit gates and atom-light quantum interfaces, exploiting the Rydberg blockade interaction which prevents two atoms at close distance (< 10μm) from being simultaneously excited to Rydberg states. Recently, this effect was used to engineer quantum processors based on arrays of interacting Rydberg atoms illuminated by Raman lasers. Motivated by these experiments, we extend the Jaynes–Cummings model to study the interaction between two Rydberg atoms interacting by the Rydberg blockade and a quantized radiation field. We consider both number (Fock) states of the field and single-mode quantum coherent states. In particular, we discuss different types of entanglements between various components of the total system consisting of the two Rydberg-interacting atoms and coherent states of the field, and show that the behavior is significantly different compared to a system with non-interacting atoms corresponding to the two-atom Tavis-Cummings model. Our results are relevant in view of atom-light quantum interfaces as components for future long-distance quantum communication.

Cultural And Socioeconomic Determinants Of Hip And Knee Arthroplasty In The Medically Underserved Rio Grande Valley Community, Blake C. Martin, Juan C. Lopez Alvarenga, John M. Gaddis

School of Medicine Publications

Introduction: Joint arthroplasty is a common procedure that is increasing worldwide. In this study, we aimed to discover if there were differences in demographics and social factors associated with individuals undergoing total knee arthroplasty (TKA) and total hip arthroplasty (THA) in the Rio Grande Valley (RGV). We hypothesized that older individuals and those with higher body mass index (BMI) would have an increased risk of TKA.

Methods: We conducted a retrospective chart review using the University of Texas Rio Grande Valley UTHealth electronic database from January 1, 2018, to July 1, 2024. Individuals were selected using Current Procedural Terminology codes …

Changing The Perceived Pain Intensity In Populations With Spinal Cord Injury And With Health Disparities (Happiness): Protocol For A Feasibility Study, Ann Van De Winckel, Lin Zhang, Leslie R. Morse, Brianna Woodliff, Gladys Maestre, Kelsey Baker

School of Medicine Publications

Background: Chronic neuropathic pain affects 69% of adults with spinal cord injury (SCI). Medication, as a primary treatment, has insufficient benefits and significant risks for addiction and adverse effects. Of the available mind and body approaches, Qigong is the most accessible for adults with SCI, with evidence for effectiveness in reducing pain. Still, there is insufficient evidence to make recommendations for adults with SCI. Thus, the feasibility of Qigong in SCI needs to be established. We previously demonstrated feasibility in a pilot study, in which 18 non-Hispanic White adults with SCI completed a 12-week remote Qigong program. However, three additional …

Management Of Neonates In The Special Care Nursery And Its Impact On The Developing Gut Microbiota: A Comprehensive Clinical Review, Ravisha Srinivasjois, Shripada Rao, Gavin Pereira

Research outputs 2022 to 2026

The first few days following the birth are a vulnerable time for the neonate. Sick infants experience various interventions during their stay in the neonatal unit in order to stay alive and grow. Acquisition of gut microbes is critical for the short- and long-term health of the neonate. At a time when the gut microbiome is starting to take shape, crucial interventions directed at improving the growth, development and survival of the neonate impact its development. Events prior to and after the birth of the neonate, such as maternal conditions, antibiotic exposure, type of feeds, supplemental probiotics, and neonatal intensive …

Neutrosophic Quantum Theory: Partial Entanglement, Partial Effect Of The Observer, And Teleportation, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Magnetic Field – An Introduction, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

A Multialist Framework For Learning Quality Assessment In The Digital Media Technology Major Under The Big Data Paradigm, Liping Miao

Neutrosophic Sets and Systems

No abstract provided.

Analysis Of Fixed Point Theorems For Contractive Mappings In Complex-Valued Neutrosophic Metric Spaces And Their Application, Muniyasamy Pandiselvi, Mathuraiveeran Jeyaraman, Saeid Jafari, Giorgio Nordo, Richard Pincak

Neutrosophic Sets and Systems

No abstract provided.

A Novel Adaptive N-Valued Neutrosophic Logic Model For Emotion-Sensitive Interaction Design In Virtual Reality Art, Silin Tan

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Paradox-Based Assessment Framework With Over/Under/Off-Indeterminacy For Green Transformation In The Industrial Economy Of Resource-Based Regions, Qiaoling Xu

Neutrosophic Sets and Systems

No abstract provided.

A Robust Multi-Dimensional N-Valued Refined Neutrosophic Logic Framework For Competitive Calculation In The Leisure Sports Industry, Ying Zheng, Lie Mo, Zhiwen Ye

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Offset Logic And Statistical Framework For Analyzing International Chinese Communication In Integrated Media Environments, Bing Li

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Logic And Probability-Based Artificial Intelligence Model For Smart Elderly Care Services In Urban Ecosystems, Xiaoqin Yang

Neutrosophic Sets and Systems

No abstract provided.

A Novel Approach For Cyber-Attack Detection In Iot Networks With Neutrosophic Neural Networks, O. M. Khaled, A. A. Salama, Mostafa Herajy, M.M El-Kirany, Huda E. Khalid, Ahmed K. Essa, Ramiz Sabbagh

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Cognitive Map-Based Modeling Framework For Analyzing The Indeterminate Impact Of Exercise On University Students’ Mental Health, Rui Wang

Neutrosophic Sets and Systems

No abstract provided.

A Nonstandard Neutrosophic Framework For Evaluating Intelligent Clothing Design Effectiveness Under Multisource Perceptual And Functional Uncertainty, Kaixia Zhuo

Neutrosophic Sets and Systems

No abstract provided.

N-Refined Neutrosophic Twofold Algebra: A Novel Framework For Evaluating Competitiveness In The Power And Electronics Technology Industry, Zhanglan You, Isaac Wasonga Owino, Yuwei Chen

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Genetic Algebraic Model For Financial Risk Evaluation In Technology Innovation Enterprises, Yushan Zhou

Neutrosophic Sets and Systems

No abstract provided.

Using Equivalence-Based Instruction And Behavioral Skills Training To Teach Social Skills, Alexander Orzeck

Theses

Social skills are an integral part of human life, so it stands to reason that teaching methodologies should be developed to instruct people in this complex topic. One method to teach social skills has been behavioral skills training, in which the four-step sequence of vocal and written instruction, modeling, roleplay, and feedback exposes learners to the social concepts until a mastery criterion is reached. Skills relevant to socialization have also been taught with equivalence-based instruction, in which the concept of stimulus equivalence is employed to generate novel relations between stimuli for the purpose of teaching some skill. No instance was …

College Leaders’ Perspectives Of Diversity At A Community College System In Texas: A Phenomenological Study Of Validation, Xandelyn Wright Washington

All Dissertations

The United States has undergone dramatic changes in student demographics over the last 40 years. Nowhere is this reflected more than in the field of education (Center for Public Education, 2012; Fabina et al., 2023). Disaggregation of student demographics is a useful and common method for measuring student outcomes, and in the United States, non-majority students consistently have lower student outcomes (Gay, 2013; Howard, 2010; Ocay et al., 2023).

Ma and Baum (2016) and McNair et al. (2015) stated that the role of community colleges is pivotal in postsecondary education. As such, college leaders and administrators have focused attention on …

Vision To Reality: Groundbreaking Impacts Of Artificial Intelligence On Key Performance Indicators In The Built Environment, Christopher Hamilton Sr

All Dissertations

As construction transitions into an era shaped by Industry 4.0 and data-driven decision-making, Artificial Intelligence (AI) emerges as a transformative tool with the potential to enhance key performance indicators (KPIs) such as schedule adherence, cost management, quality assurance, safety, resource allocation, and customer satisfaction. However, few studies have empirically assessed the direct influence of AI adoption on operational performance or examined the innovation diffusion factors that facilitate its integration. This gap underscores the need to align AI initiatives with broader organizational strategies, ensuring that technological adoption translates into measurable improvements in construction performance.

This quantitative study investigated two core research …