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Geography And Environmental Studies Apr 2025 Self-Study Report & Documents, Unm Academic Program Review

UNM Academic Program Review

NM Geography and Environmental Studies APR self-study report, review team report, response report, and initial action plan for AY2025, fulfilling requirements of the Higher Learning Commission.

Dean's Update, April 2026, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

How Do Social Network Models Compare To All-To-All Models For Forecasting Tuberculosis Epidemics? A Mathematical Modeling Study, Masabho Peter Milali, Hae-Young Kim, George Corliss, Anna Bershteyn

Electrical and Computer Engineering Faculty Research and Publications

Background. Mathematical models guide tuberculosis (TB) target-setting, yet most assume homogeneous “all-to-all” mixing. We compared projected intervention impacts between an all-to-all compartmental model and a Barabási–Albert (BA) scale‑free social network model under otherwise identical disease assumptions.

Methods. We calibrated transmission parameters so both models produced similar baseline trends, then introduced vaccination (coverage 30–70%; efficacy 80–95%) and treatment (20–50% increases in recovery) after a 400‑day burn‑in. Outcomes were assessed 300 days post‑intervention.

Results. Under 60% coverage, increasing vaccine efficacy from 80% to 95% yielded smaller projected reductions in active TB with the network model than with all‑to‑all mixing. Treatment improvements showed …

Electronic Resource Updates - 2026 Q1, Brigitte Galauner, Gregg Harris

Electronic Resources Quarterly Updates

No abstract provided.

Examining The Impact Of Restorative Practices On Student Behavior, Discipline, And Relationships In A K–5 Elementary School, Kathleen Tomaszewski

Dissertations

This study examined the implementation of restorative practices in a K–5 elementary school and their influence on student behavior, disciplinary actions, and teacher–student relationships. Restorative practices in schools focus on building a positive school climate and addressing student behavior through community and relationship-building rather than punitive measures. The rationale for the study was grounded in concerns regarding the use of exclusionary discipline practices and the need for proactive, student-centered approaches to improving school climate. Two main research questions guided the inquiry: To what extent do restorative practices impact student referrals and disciplinary actions in a K-5 elementary school? How do …

She Loves Me

Theatre and Performance Studies Programs

Department of Theatre and Performance Studies presents

She Loves Me FULL Program

Chemical & Biological Engineering 2026 Apr Self-Study & Documents, Unm Academic Program Review

UNM Academic Program Review

UNM Chemical & Biological Engineering APR self-study report and review team report for Spring 2026, fulfilling requirements of the Higher Learning Commission.

A Computational Assessment Of Halobacterium Salinarum Glutamate Dehydrogenase Enzymes, Maaz Abdalla

Theses

Glutamate dehydrogenase (GDH) is a hexameric enzyme. GDH is involved in several pathways and cellular processes such as oxidation-reduction homeostasis, ammonia metabolism, lipid biosynthesis, insulin and lactate production, and acid-base equilibrium. The main objective of this thesis is to understand the structural and biochemical properties of this enzyme and why some organisms, for e.g., Halobacterium salinarum, have more than one GDH with different coenzyme specificities. The catabolism of glutamate is linked to NAD+ specific GDHs, meanwhile, NADP+ specific GDHs play an anabolic role in ammonia assimilation. Molecular docking and binding free energy calculations were employed followed by long-scale (500 nanoseconds) …

Rooted Or Restless: Retaining Teachers From Urban And Suburban Backgrounds In Rural Texas, Martha Saucedo Ms.

Electronic Theses and Dissertations

Rural school districts across the United States continue to experience persistent challenges in retaining teachers, particularly those from urban and suburban backgrounds who transition into geographically isolated rural communities. These educators often encounter professional isolation, cultural adjustment, and limited access to resources, which influence their long-term commitment to rural schools. The purpose of this qualitative case study was to explore how teachers from urban and suburban backgrounds experienced geographical and professional isolation in rural schools within a Texas Education Service Center region in a rural area and how leadership practices influenced their sense of belonging, place attachment, and retention. This …

Transformative Leadership In Action: A Narrative Study Of Principals’ Influence On Students’ Achievement, Staci Taylor Fullmighter

Electronic Theses and Dissertations

This narrative inquiry examined how principals in low-performing high-minority urban schools use transformational leadership to improve academic outcomes. The purpose of this research was to describe principals’ leadership behaviors that are perceived to positively influence academic achievement among students who identify as minority and low socioeconomic status and are attending or have attended urban school districts with high concentrations of the identified population. Data were collected through semistructured interviews with principals, and narratives were studied to identify trends across their experiences. Four themes emerged: (a) trust and shared accountability, (b) encouraging creativity and risk-taking, (c) communicating shared goals, and (d) …

Antimicrobial Performance Of Amorphous Vs. Crystalline La1-Xsrxcoo3 Perovskites, S. M. Au Shohag, Fahmida Akhter, Ahmed Touhami, Swati Mohan, Md. Wasikur Rahman, Mohammed Jasim Uddin

Physics & Astronomy Faculty Publications

Perovskite materials, with their unique crystal structure and chemical properties, are emerging as promising antimicrobial agents for potential biomedical applications. In this research, different weight percentages of Sr2 + doped amorphous and crystalline Lanthanum Cobaltite (La1-xSrxCoO3 defined as LSCO) (x = 0, 0.025, 0.05, 0.1, and 0.15) perovskite was synthesized by using a simple combination of sol-gel and molten-salt processes and characterized by X-ray diffraction (XRD), and scanning electron microscopy (SEM) ensures the uniform morphology of the materials. During antimicrobial study using the Kirby Bauer method, amorphous LSCO showed much better activity than crystalline LSCO against Escherichia coli, Vibrio …

Natural Language Generation In Healthcare: A Review Of Methods And Applications, Mengxian Lyu, Xiaohan Li, Ziyi Chen, Jinqian Pan, Cheng Peng, Sankalp Talankar, Yonghui Wu

Faculty, Staff and Student Publications

Objective: This study presents a systematic review of natural language generation (NLG) methods and applications in the medical domain, providing quantitative and qualitative analyses to answer four key research questions regarding methods, evaluation, applications, and challenges of NLG in healthcare.

Methods: We searched PubMed, ACM Digital Library, Web of Science, Science Direct, Scopus, Embase, and ACL Anthology for NLG-related studies in healthcare from 2018 to 2024. Out of 3,988 research articles, 113 met the inclusion criteria and were analyzed across data modality, model architecture, evaluation metrics, and application domain.

Results and conclusion: NLG in healthcare has grown substantially, with annual …

Feasibility Of Identifying Factors Related To Alzheimer’S Disease And Related Dementia In Real-World Data, Yu Huang, Qian Li, Aokun Chen, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Jingchuan Guo, Xing He, Yijiang Pang, Jiayu Zhou, Yonghui Wu, Yi Guo, Jiang Bian

Faculty, Staff and Student Publications

Objective: This study aimed to provide a comprehensive understanding of factors associated with Alzheimer's disease (AD) and AD-related dementias (AD/ADRD), which could aid in studies to develop new treatments for AD/ADRD patients and identify high-risk populations for prevention.

Scope and method: In our study, we summarized the risk factors for AD/ADRD by reviewing existing meta-analyses and review articles on risk and preventive factors for AD/ADRD. From this literature review and the identified AD/ADRD factors, we examined the accessibility of these risk and preventive factors in both structured and unstructured Electronic Health Records (EHRs) data.

Results: In total, we extracted 401 …

Nigella Sativa Oil-Loaded Treated Dentin Matrix Hydrogel As An Alternative Biomaterial For Direct Pulp Capping: A Systematic Review, Alfin R. Cahyadi, Ayu Annafi, Malika Q. Rahmalia, Adelisa D. Ryani, Tania Saskianti, Harly Prabowo, Nadia Kartikasari, Abil Kurdi, Agus Dahlan

Journal of Dentomaxillofacial Science

Objective: To assess evidence on Treated Dentin Matrix Hydrogel (TDMH) and Nigella sativa oil (NSO), individually or combined, as biomaterials for direct pulp capping (DPC) and their reparative dentin promotion ability. Methods: A systematic search of PubMed, EBSCO, ScienceDirect, and Wiley (January 1, 2018–December 31, 2023) was conducted using MeSH-based terms associated with ``treated dentin matrix hydrogel,'' ``Nigella sativa oil,'' and ``direct pulp capping.'' Eligible studies included in vitro, in vivo, and clinical research evaluating TDMH or NSO for DPC; studies with no outcome data were excluded. Risk-of-bias assessment was performed using ROB2 (clinical) and SYRCLE (animal). Because of …

Euphorbia Tirucalli L. Accelerates Mandibular Bone Healing: Analysis Of Pmns, Fibroblasts, Osteoblasts, And Osteoclasts In Wistar Rats, Florence Meliawaty, Juni Handajani, Heni Susilowati, Poerwati Soetji Rahajoe, Euis Reni Yuslianti, Rahmadaniah Khaerunnisa, Kertamaya Sundawan, Adzra Farah Fajrina, Lorintan Sitepu

Journal of Dentomaxillofacial Science

Objective: The present study aimed to elucidate the therapeutic potential of Euphorbia tirucalli L. stem extract in accelerating mandibular bone defect healing through the modulation of inflammatory and regenerative cellular responses, including polymorphonuclear cells, fibroblasts, osteoblasts, and osteoclasts in Wistar rats.

Material and Methods: A laboratory-based experimental study with a randomized post-test only control group design was conducted using 40 male Wistar rats. Standardized mandibular defects were created in the symphysis region utilizing a low-speed round bur. The animals were randomly assigned into four groups, including a negative control and three treatment groups receiving topical Euphorbia tirucalli L. stem extract …

Bone Regeneration On Modified Implant Surfaces: A Systematic Review, Irfan Dammar, Ratna S. Dewi, Ira Tanti, Lisa R. Amir, Lilies D. Sulistyanti, Yuniarti Soeroso

Journal of Dentomaxillofacial Science

Objective: To describe effective implant surface modifications (ISMs) that enhance bone regeneration.

Methods: This systematic review involved literature searches in the PubMed, Scopus, and ScienceDirect databases to identify both in vivo and in vitro randomized controlled trials investigating bone regeneration on modified implant surfaces. The search was conducted using predefined population, intervention, comparison, outcome, and study design criteria, eligibility criteria, and relevant MeSH terms. Article selection followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram.

Results: Various ISMs were identified, including elastin-like polypeptides, hydroxyapatite, doxycycline, sandblasted large-grit acid-etched, and others. The average bone-to-implant contact (BIC) in experimental …

Is The Vice Presidency In Decline?, Roy E. Brownell Ii

Missouri Law Review

During the first four years of Dick Cheney’s vice presidency (2001–2005), the second office reached dizzying heights. His next term and the ensuing vice presidency of Joe Biden (2009–2017) witnessed a reduction in the office’s executive-branch prestige, influence, and accomplishments and a return to earlier modern norms. Afterwards, the vice presidencies of Mike Pence and Kamala Harris saw an additional decline, and the first fifteen months of JD Vance’s tenure do not seem to have reversed this trend. Is the office suffering from long-term decline, or is it merely experiencing an extended bump in the road?

Competitive Reaction Pathways In The Fully Green Synthesis And Surface Modification Of Silver Nanowires Under L-Ascorbic Acid-Limited Conditions, Finley Neal

Honors Theses

Silver nanowires (AgNWs) are critical building blocks for transparent conductive films (TCFs) in flexible electronics, yet their commercial viability is hindered by environmentally hazardous, energy-intensive synthesis methods and limited intrinsic chemical stability. This study investigated a fully green, room-temperature (25℃) batch synthesis of pristine AgNWs using tannic acid as a biodegradable dual reducing and capping agent under strict kinetic pH control (pH 1.25). To enhance oxidative resistance, a subsequent surface modification protocol was evaluated to deposit a protective palladium (Pd) shell using L-ascorbic acid (LAA) as a secondary reducing agent. The pristine green synthesis yielded one-dimensional Ag nanostructures with a …

Knowledge Distillation From A Large Vision-Language Model To Compact Students For Architectural Floor Plan Understanding, Kiran Silwal

Honors Theses

In this research, the use of a large vision-language model to train smaller, deployable models for architectural floor plan question answering is investigated. Reading a floor plan today requires either a human expert or a paid query to a proprietary model, and neither option is practical for real-estate platforms that must process thousands of units at scale. To address this problem, a knowledge distillation approach is employed in which a large teacher model (GPT-4.1-mini) generates labeled question-answer pairs from floor plan images, and smaller student models learn from those labels. The teacher produced 37,027 labeled pairs from 12,343 floor plan …

Ai-Assisted 3d Pre-Visualization: Streamlining Animatics For Filmmakers, Nishit Thapa

Honors Theses

Pre-visualization is a core part of film pre-production. Creators use it to test blocking, lighting, camera movement, and spatial relationships before committing to a shot. Despite this, three-dimensional pre-visualization remains out of reach for many entry-level filmmakers, as the software is expensive and takes substantial time to learn.

Recent AI developments have produced generative systems capable of creating highly re-alistic imagery and video from text prompts. These systems open new possibilities for visual sto-rytelling but are not built for the iterative, hands-on process that pre-visualization requires, where creators must adjust scene parameters, camera logic, and spatial configurations throughout.

This thesis …

Evaluating Predictive Structure In Penny Stocks Using Machine Learning And Statistical Methods, Susom Hait

Honors Theses

Market prediction attempts have primarily focused on large-cap stocks due to their stability and market consistency. As such, studies that use time-series techniques to predict large-cap stocks have produced consistent results. Despite the success of large-cap predictions, penny stocks have remained unexplored in modern academia due to their high volatility, low liquidity, and structural instability. Regardless, unexplored market potential and technological advancements underscore the need for preliminary research into penny stock forecasting. This study aims to determine whether meaningful predictive structures exist in time-series penny stock data. This study utilizes an incremental approach. Various penny stocks were selected, pooled, and …

Sustainable Finance: An Analysis Of Climate-Resilient Infrastructure Investments, Ngan Trat

Honors Theses

Changes in climate conditions are reshaping our environments and impacting ecosystems. A product of these changes is worsening climate events, and for Mississippi, that means increasingly frequent, high-intensity storms and floods. Its immediate and residual effects can range from disruptive to destructive. Mississippi and its communities are highly vulnerable to the effects of intense natural disasters, and there is a discrepancy between the need for climate-resilient infrastructure investments and the state’s fiscal capabilities to finance the research and construction of such projects. This paper will evaluate existing cases of climate-resilient infrastructure in effect through a sustainable finance lens and identify …

Digital Preservation Policies In University Libraries: A Content Analysis, Ramsey Mcmanus

Honors Theses

In an increasingly digital world, libraries continue to expand their digital collections. As these collections grow, librarians must work to ensure that these digital materials remain accessible over time. Having clearly articulated digital preservation policies helps libraries define their preservation commitments and establish guidelines for preservation actions. This study examines how university libraries approach digital preservation through their policies, focusing on those that are publicly available and accessible online. The content of these policies is evaluated against commonly recognized elements of digital preservation planning, including preservation scope, metadata practices, integrity checking, storage redundancy, and format migration. These criteria are derived …

Rethinking News Classification Through A Multi-Dimensional Framework, Luana De Jesus Ferreira

Honors Theses

This thesis proposes a multi-dimensional framework for news classification that evaluates articles across three independent dimensions: headline accuracy, language neutrality, and content reliability. These dimensions produce both a continuous reliability score and a five-tier interpretive scale, while additionally classifying articles by genre and topic. To operationalize this framework, a structured annotation protocol was developed and applied to a dataset of 373 news articles drawn from 79 outlets spanning a wide range of contemporary media ecosystem. A binary Logistic Regression classifier trained on the ISOT Fake News Dataset was then evaluated against this dataset to examine how a model trained on …

Quantifying The Antifungal Properties Of Bacteria Using Cotton Strips, Lily Lofton

Honors Theses

Many bacteria have been known to have antifungal properties. Research has begun to determine how these bacteria can be used to protect cotton and other cellulose-rich textiles. In the present study, standardized cotton strips were inoculated with two different bacterial consortia that have exhibited anti-fungal properties. These strips were then inoculated with the melanized cellulolytic fungi, Chaetomium globosum and Rhinocladiella similis. Similarly, some cotton strips were also inoculated with a non-melanized fungus, Rhodotorula toruloides, which is also thought to be cellulolytic. The tensile strength of cotton strips was measured along with the ergosterol concentrations (fungal biomass) for each cotton strip …

Evaluating The Environmental Parameters Impacting Spawning Movement Of Gulf Sturgeon (Acipenser Desotoi) In The Bouie River System., Olivia St. Germain

Honors Theses

The anadromous Gulf Sturgeon (Acipenser desotoi) is federally listed as “threatened” and is natal to seven rivers from Louisiana to Florida. Only one spawning reach for Gulf Sturgeon natal to the Pascagoula River has been verified via the collection of eggs and larvae; a reach of the lower Bouie River. This reach is anthropogenically modified by four gravel mining formations, hereafter referred to as pits. The greater depths associated with this area have prompted previous researchers to suggest that Gulf Sturgeon may over-summer in pit formations instead of migrating to downstream holding areas in the Pascagoula River after spawning. The …

Deep Learning-Based Automated Pneumonia Detection From Chest X-Rays: A Comparative Study Of Custom Cnn And Transfer Learning Architectures, Ahmed Sajim

Honors Theses

Pneumonia is a leading global cause of mortality, claiming approximately 2.5 million lives an-nually and placing exceptional diagnostic pressure on radiologists in resource-limited settings. Manual interpretation of chest X-ray (CXR) images is time-consuming, subject to inter-observer variability, and limited by radiologist availability. This thesis presents a systematic investiga-tion into deep learning-based automated pneumonia detection comparing five convolutional neural network (CNN) architectures: a custom-designed 2D CNN and four pretrained transfer learning models—ResNet, DenseNet, MobileNet, and VGG19.

A targeted data augmentation pipeline addresses the severe class imbalance in the Kag-gle Chest X-Ray Pneumonia dataset, expanding the Normal class from 1,583 to 9,495 …

Comparing The Risk And Return Characteristics Of Ai Exchange-Traded Funds To Benchmark Stock Market Etfs, Aryan Malhotra

Honors Theses

Artificial intelligence exchange-traded funds (AI ETFs) have expanded rapidly as investors seek targeted exposure to firms developing or benefiting from AI technologies. This study compares the performance of 50 AI ETFs with two broad-market ETFs, SPY (S&P 500) and RSP (equal-weight S&P 500), from January 2018 to January 2026. AI ETFs exhibit higher expense ratios and strong correlations with both benchmarks, reflecting their concentration in large-cap technology stocks. Over the full sample, AI ETFs generated higher cumulative returns but with substantially greater volatility. Sub-period analysis further decomposes the post-COVID period into pre-ChatGPT (April 2020–November 2022) and post-ChatGPT (December 2022–January 2026) …

Developing A Range Prediction For The Imperiled Florida Harvester Ant (Pogonomyrmex Badius) Using Species Distribution Modeling, Noah Williamson

Honors Theses

The Florida Harvester Ant (Pogonomyrmex badius) was once widespread and commonplace throughout the sandhills of the Southeastern United States, providing key ecosystem services, such as seed dispersal and soil aeration. Over recent decades, however, Florida Harvester Ant populations have declined in some areas. Current literature postulates that Red Imported Fire Ants (RIFA), and the insecticides used to manage them, as well as further human encroachment onto their habitat, all likely contributed to Florida Harvester Ant population declines. Thus, to better protect these organisms, pursue data-driven conservation efforts, and guide management practices, more information about their nest site selection, as well …

Tuning And Performance Of Pid Controlled Low Complexity Systems, Timothy Evans

Honors Theses

Proportional integral derivative (PID) controllers are used for precise position and orientation control in systems such as autonomous underwater vehicles (AUVs). This project supports the University of Southern Mississippi’s (USM) Robotics Club’s RoboSub AUV effort by developing, troubleshooting, and manually tuning PID controllers to characterize tracking performance and settling time across systems of increasing complexity. Initially, the project hypothesized that tracking performance would be reduced and settling times would increase as system complexity advanced from one degree-of-freedom (DOF) to two DOF. However, prior research was found that suggests that for small disturbances around an equilibrium state, separate PID-controlled DOFs can …