Digital Commons Network^™

Tirzepatide For The Maintenance Of Body Weight Reduction: Rationale, Design, And Baseline Characteristics Of Surmount-Maintain, Deborah B Horn, Louis J Aronne, Sean Wharton, Harold E Bays, Elisa Gomez-Valderas, Avigdor D Arad, Palash Sharma, Julia P Dunn, Cagri Senyucel, Clare J Lee

Faculty, Staff and Student Publications

Objective: SURMOUNT-MAINTAIN aims to evaluate the efficacy and safety of reducing the tirzepatide dose and/or continuing the maximum tolerated dose (MTD) versus placebo in maintaining body weight (BW) reduction achieved with tirzepatide MTD.

Methods: This Phase 3b, multicenter, randomized, parallel-arm, double-blinded, placebo-controlled, 52-week clinical trial is in progress comparing treatment with once weekly tirzepatide (5 mg and/or MTD of 15 mg or 10 mg) versus placebo in achieving BW reduction maintenance from the initial 60-week open-label weight-loss period on tirzepatide MTD, in adults with obesity (BMI ≥ 30 kg/m2 or ≥ 27 kg/m2 with ≥ 1 obesity-related comorbidity, excluding type …

Tofacitinib Ameliorates Campylobacter-Induced Intestinal Pathology By Suppressing Ifnγ Producing Ilcs And T Cells, Anna A Korchagina, Sergey A Shein, Wayne T Muraoka, Justin Nguyen, Qiangxing Chen, Anna A Tumanova, Austin W Todd, Carlos E Rivera, Rita Tamayo, Paolo Casali, Ekaterina Koroleva, Alexei V Tumanov

Faculty, Staff and Student Publications

Patients with autoimmune diseases are more susceptible to foodborne infections, which can be exacerbated by immunosuppressive therapy. Tofacitinib, a JAK/STAT pathway inhibitor, was recently approved for the treatment of ulcerative colitis, yet its effects on the pathogenesis of intestinal infections remain unclear. Here, we examined the impact of oral tofacitinib treatment in a mouse model of Campylobacter jejuni (C. jejuni) infection. Our results show that early tofacitinib administration attenuates intestinal pathology without affecting bacterial colonization. Specifically, tofacitinib suppressed CXCL1, CXCL2, CCL2 chemokine expression by intestinal epithelial cells, limiting recruitment of monocytes and neutrophils to the gut. In addition, JAK/STAT inhibition …

Family History Of Substance Use And Stressful Life Events Impact Adolescent Maturation Of Cerebral White Matter, Yizhou Ma, Ashley Acheson, Corneliu Bolbocean, Mustafa N Mithaiwala, Si Gao, Neda Jahanshad, Paul M Thompson, Bhim M Adhikari, Xiaoming Du, A Ankeeta, Alia Warner, Antonio F Pagán, L Elliot Hong, Peter Kochunov

Faculty, Staff and Student Publications

Family history (FH) of substance use disorders (SUDs) and stressful life events (SLEs) are known risk factors for SUDs in adolescents and young adults. Cross‐sectional studies suggest that FH and SLEs affect adolescent white matter (WM) development and form abnormal WM patterns. Here, we examined the effects of FH, SLEs and their interaction on WM integrity in youths in the Adolescent Cognitive Brain Development (ABCD) study at baseline and 2‐ and 4‐year follow‐ups. ABCD youths (N = 8939, age ± SD = 9.9 ± 0.6 years, 4302 female) completed baseline diffusion tensor imaging, of which 5661 repeated the scan …

Succinate Dehydrogenase-Related Pheochromocytoma And Paraganglioma (Sdhx-Ppgl): Clinical And Genetic Insights From An Indian Study, Ketki Sunil Ambulkar, Anima Sharma, Vijaya Sarathi, Saba Samad Memon, Anurag Ranjan Lila, Rohit Barnabas, Manjiri Karlekar, Virendra Patil, Samiksha Hegisthe, Gwendolyn Fernandes, Sameer Rege, Gaurav Malhotra, Hemangini Thakkar, Nalini S Shah, Tushar R Bandgar

Faculty, Staff and Student Publications

Objective: Data on succinate dehydrogenase-related pheochromocytoma and paraganglioma (SDHx PPGL) in India are limited. We describe the clinical and genetic characteristics of SDHx PPGL from a single center in western India.

Design, patients, and measurements: A retrospective review of SDHx PPGL patients was performed for clinical, imaging, genetic, and treatment details.

Results: Among 46 patients (39 probands, 24 males), the median age at diagnosis was 32.5 (IQR: 23-41) years. We report the youngest patient with SDHC (age 8 years). SDHB mutations were the most prevalent (24/39 probands), followed by SDHD, SDHC, SDHA, and SDHAF2. We report the first Indian family …

Tracking Change: A Follow-Up On The Culturally Adapted ¡Iniciando! La Adultez Program, Antonio F Pagán, Katherine A Loveland, Ron Acierno

Faculty, Staff and Student Publications

Introduction: Research on interventions for Latino young adults with Autism Spectrum Disorder (ASD) and their families often faces challenges in long-term engagement. This study aimed to assess the feasibility and effectiveness of the culturally adapted ¡Iniciando! La Adultez program through a long-term follow-up.

Methods: A cohort of Latino young adults with ASD and their families who participated in the ¡Iniciando! La Adultez program were followed for six months post-intervention. Participants were assessed at three and six months to evaluate continued engagement and outcomes. Retention rates at each follow-up point were calculated.

Results: The study demonstrated high retention rates, with 48 …

Community Firearm Violence And Dental Care Use In Middle Adulthood, Alexander Testa, Luis Mijares, Daniel Semenza, Richard Stansfield, Ian Silver, Dylan B Jackson, Ana Neumann, Jeff R Temple, Rahma Mungia

Faculty, Staff and Student Publications

Prior research links violence inside the home to reduced dental care utilization, yet little is known about how community firearm violence affects dental care behaviors. The current study used data from wave V (2016-2018) of the National Longitudinal Study of Adolescent to Adult Health (Add Health), linked to census tract-level fatal and nonfatal shooting data from the American Violence Project for the 100 largest cities in the United States. The analytic sample included 1925 respondents aged 33-42. The primary outcome was self-reported dental care use in the past year. Firearm violence exposure was categorized as 0, 1, or 2 + …

Necrobiosis Lipoidica Arising In A Port Wine Stain Treated With Topical Ruxolitinib, Neena Edupuganti, Jay Nguyen, Fahad S. Siddiqui, Victoria Dukharan, Rajiv Nathoo

GME Publications

We present a unique case of necrobiosis lipoidica (NL) arising within a port-wine stain (PWS), which, to our knowledge, has not been previously reported. NL is a rare granulomatous disorder often associated with diabetes mellitus, characterized by chronic inflammation and microvascular dysfunction. PWS, a congenital vascular malformation, results from defective endothelial differentiation and capillary malformation. The coexistence of these conditions suggests a potential link in their pathophysiological mechanisms, including inflammation, endothelial dysfunction, and shared signaling pathways such as mitogen-activated protein kinase (MAPK), phosphoinositide 3-kinase (PI3K), and tumor necrosis factor (TNF)-alpha. Our patient's NL lesions demonstrated improvement with topical ruxolitinib, a …

College Of Nursing Apr 2024 Self-Study Report, Unm Academic Program Review

UNM Academic Program Review

College of Nursing complete an annual academic program review and included in the self-study report for AY2024

Overland With Ernst Heinen: A Newly Discovered 1864 Bridger Trail Diary, Caroline L. Gilson

Library Faculty Publications

In 1864, Joseph Ernst Johann Heinen, age 27, travelled from Illinois to California for a work opportunity. His route and travel experiences were recorded in a diary, which has been transcribed, with footnotes. Research and work was conducted by Gilson, along with DePauw University students. This article includes the full transcription of the 1864 diary, a biography of Ernst Heinen and notes on sources consulted.

Extraction Of Aluminum From Lunar Regolith Through Molten Salt Electrolysis, Jacob N. Ortega, Todd P. Sander, Jeffrey D. Smith, Fateme Rezaei, David J. Bayless, William Schonberg, Daniel S. Stutts, Frank D. Han

Materials Science and Engineering Faculty Research & Creative Works

This paper presents the methodology, development, and results of an end-to-end regolith-to-metal concept for producing aluminum in-situ on the lunar surface, namely, the Lunar In-Situ Aluminum Production through Molten Salt Electrolysis (LISAP-MSE) method. Using electrolytic reduction, aluminum oxide (i.e., alumina) can be reduced into aluminum and oxygen via electrolysis in a molten salt bath. A steady supply of hydrogen chloride could allow this in-situ resource utilization (ISRU) method to supply several necessary materials consumed in the electrolytic reduction step of the process to produce bulk aluminum metal, oxygen, water, and silica from anorthite abundant in lunar highland regions. In this …

Tensile Performance Sensitivity To Variations Of Standard 17-4 Ph Heat Treatments On Lpbf-Produced Material, Ben Brown, Cory Read, Joseph Newkirk, Frank Liou

Materials Science and Engineering Faculty Research & Creative Works

Standard heat treatments for metals of a particular composition are typically designed with the assumption of a conventional starting microstructure, such as that produced by casting or wrought processing. When applied to metals fabricated by Laser Powder Bed Fusion (LPBF) metal additive manufacturing (AM), these heat treatments can produce inconsistent performance due to the unique as-built microstructures. This study investigates how modifications to standard heat treatments for 17-4 PH steel influence the microstructure and mechanical properties of LPBF-fabricated material. Specimens were produced and subjected to varying solutionizing and homogenizing treatments followed by standard aging treatments. Microstructures were characterized using optical …

Competition Of Light-And Phonon-Dressing In Microwave-Dressed Bose Polarons, G. M. Koutentakis, S. I. Mistakidis, F. Grusdt, H. R. Sadeghpour, P. Schmelcher

Physics Faculty Research & Creative Works

We theoretically investigate the stationary properties of a spin-1/2 impurity immersed in a one-dimensional confined Bose gas. In particular, we consider coherently coupled spin states with an external field, where only one spin component interacts with the bath, enabling light dressing of the impurity and spin-dependent bath-impurity interactions. Through detailed comparisons with ab-initio many-body simulations, we demonstrate that the composite system is accurately described by a simplified effective Hamiltonian. The latter builds upon previously developed effective potential approaches in the absence of light dressing. It can be used to extract the impurity energy, residue, effective mass, and anharmonicity induced by …

Tensile And Fatigue Properties Of Haynes ® 233 Manufactured By Wire-Arc Additive Manufacturing, Samuel Onimpa Alfred, Frank W. Liou, Mehdi Amiri

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Haynes® 233 is a newly developed nickel-based superalloy currently in the early stages of commercial adoption. With the growing interest in fabricating large and complex components using wire-arc additive manufacturing (WAAM), this alloy presents a promising option for industrial applications. This study investigates the microstructure, tensile, and fatigue properties of heat-treated (HT) WAAM Haynes ® 233 and compares them to its wrought counterpart. Yield strength (YS), ultimate tensile strength (UTS), and fatigue strength of WAAM Haynes ® 233 are 709.4 MPa, 890.1 MPa, and 253.8 MPa, respectively. These values indicate a 63.8 % increase in YS, a 1.11 % decrease …

Teaching Diffusion Models To Ground Alpha Matte, Tianyi Xiang, Weiying Zheng, Yutao Jiang, Tingrui Shen, Hewei Yu, Yangyang Xu, Shengfeng He

Research Collection School Of Computing and Information Systems

The power of visual language models is showcased in visual understanding tasks, where language-guided models achieve impressive flexibility and precision. In this paper, we ex tend this capability to the challenging domain of image matting by framing it as a soft grounding problem, enabling a single diffusion model to handle diverse objects, textures, and transparencies, all directed by descriptive text prompts. Our method teaches the diffusion model to ground alpha mattes by guiding it through a process of instance-level localization and transparency estimation. First, we introduce an intermediate objective that trains the model to accurately localize semantic components of the …

Filterfl: Knowledge Filtering-Based Data-Free Backdoor Defense For Federated Learning, Yanxin Yang, Ming Hu, Xiaofei Xie, Yue Cao, Pengyu Zhang, Yihao Huang, Mingsong Chen

Research Collection School Of Computing and Information Systems

As a distributed machine learning paradigm, Federated Learning (FL) enables large-scale clients to collaboratively train a model without sharing their raw data. However, due to the lack of data auditing for untrusted clients, FL is vulnerable to poisoning attacks, especially backdoor attacks. By using poisoned data for local training or directly changing the model parameters, attackers can easily inject backdoors into the model, which can trigger the model to make misclassification of targeted patterns in images. To address these issues, we propose a novel data-free trigger-generation-based defense approach based on the two characteristics of backdoor attacks: i) triggers are learned …

Cross-Subject Mind Decoding From Inaccurate Representations, Yangyang Xu, Bangzhen Liu, Wenqi Shao, Yong Du, Shengfeng He, Tingting Zhu

Research Collection School Of Computing and Information Systems

Decoding stimulus images from fMRI signals has advanced with pre-trained generative models. However, existing methods struggle with cross-subject mappings due to cognitive variability and subject-specific differences. This challenge arises from sequential errors, where unidirectional mappings generate partially inaccurate representations that, when fed into diffusion models, accumulate errors and degrade reconstruction fidelity. To address this, we propose the Bidirectional Autoencoder Intertwining framework for accurate decoded representation prediction. Our approach unifies multiple subjects through a Subject Bias Modulation Module while leveraging bidirectional mapping to better capture data distributions for precise representation prediction. To further enhance fidelity when decoding representations into stimulus images, …

Search Trajectory Network-Enhanced Multi-Objective Dynamic Algorithm Configuration, Robbert Reijnen, Zaharah Bukhsh, Hoong Chuin Lau, Yaoxin Wu, Yingqian Zhang

Research Collection School Of Computing and Information Systems

Deep reinforcement learning (DRL) has emerged as an effective technique for dynamic algorithm configuration, particularly in evolutionary computation, enabling adaptive parameter updates during algorithmic execution. DRL-based methods have shown broad applicability across different problem domains and are designed to configure algorithms without problem-specific information, making them highly transferable across problem variants and scalable to different problem sizes. This paper proposes a novel graph neural network-based approach that learns representations of Search Trajectory Networks (STNs) to track the convergence behavior of multiple objectives and dynamically reconfigures multiobjective evolutionary algorithms during execution. By capturing how solutions evolve and interact over time, the …

Boosting Chart-To-Code Generation In Mllm Via Dual Preference-Guided Refinement, Zhihan Zhang, Yixin Cao, Lizi Liao

Research Collection School Of Computing and Information Systems

Translating chart images into executable plotting scripts-referred to as the chart-to-code generation task-requires Multimodal Large Language Models (MLLMs) to perform fine-grained visual parsing, precise code synthesis, and robust cross-modal reasoning. However, this task is inherently under-constrained: multiple valid code implementations can produce the same visual chart, and evaluation must consider both code correctness and visual fidelity across diverse dimensions. This makes it difficult to learn accurate and generalizable mappings through standard supervised fine-tuning. To address these challenges, we propose a dual preference-guided refinement framework that combines a feedback-driven, dual-modality reward mechanism with iterative preference learning. Our approach introduces a structured …

Auxiliary Prompt Tuning Of Vision‑Language Models For Few‑Shot Out‑Of‑Distribution Detection, Wenjun Miao, Guansong Pang, Zihan Wang, Jin Zheng, Xiao Bai

Research Collection School Of Computing and Information Systems

Recent advancements in CLIP-based out-of-distribution (OOD) detection have shown promising results via regularization on prompt tuning, leveraging background features extracted from a few in-distribution (ID) samples as proxies for OOD features.However, these methods suffer from an inherent limitation: a lack of diversity in the extracted OOD features from the few-shot ID data.To address this issue, we propose to leverage external datasets as auxiliary outlier data (i.e., pseudo OOD samples) to extract rich, diverse OOD features, with the features from not only background regions but also foreground object regions, thereby supporting more discriminative prompt tuning for OOD detection. We further introduce …

Functional Analysis Of R144 In The Flavin Oxidation Mechanism Of A Flavin-Dependent N-Monooxygenase, Reeder Robinson, Korliss Britt, Pablo Sobrado

Chemistry Faculty Research & Creative Works

Flavin-dependent N-monooxygenases (NMOs) are key enzymes in the biosynthesis of hydroxamate-containing siderophores, which are critical virulence factors in pathogenic microorganisms. SidA, an NMO from Aspergillus fumigatus, catalyzes the NADPH- and O2-dependent hydroxylation of L-ornithine (Orn) via a stable C4a-hydroperoxyflavin (FADOOH) intermediate. This study investigates the role of Arg144 in the catalytic cycle of SidA. Site-directed mutagenesis of Arg144 to alanine (R144A) significantly impaired both oxygen consumption and Orn hydroxylation, resulting in an approximately 60-fold reduction in kcat and a ~300-fold decrease in kcat/KM. The pH dependence, solvent kinetic isotope effects, and rapid-reaction kinetics reveal that R144 influences protonation events crucial …

Ai-Enabled Multi-Layer Security Operations: A Combined Siem, Ids, And Threat Intelligence Model For Adaptive Cyber Defense, Mohamad Khayat

Dissertations

This dissertation presents a comprehensive framework for the evolution of Security Operation Centers (SOCs) through the integration of advanced artificial intelligence (AI), blockchain, and optimization techniques. Motivated by the increasing complexity of cyber threats and the limitations of traditional reactive SOC strategies, this work begins with a systematic literature review that identifies critical gaps in current SOC operations. Based on these insights, a reference architecture is proposed to guide the integration of intelligent components into SOC environments. To address the challenge of secure and trustworthy information sharing, a blockchain-based threat intelligence platform is developed, leveraging Byzantine Fault Tolerance and Zero-Knowledge …

A Spanish-Language Adaptation Of The Brief Wisconsin Inventory Of Smoking Dependence Motives Among Mexican And Mexican-American Adults Who Smoke, Yessenia Castro, Jose E. Velasquez, Zully C. Guerra, Tatiana Londoño, John R. Moore, Nazanin M. Heydarian

School of Social Work Faculty Publications

Introduction: The smoking pattern of Latino smokers differs from non-Latino white smokers such that physical dependence may not be a strong motivator for smoking among Latinos. Multidimensional measures of dependence may be more useful, but there is a lack of psychometrically sound multidimensional Spanish-language measures. This study evaluated the psychometric properties of a Spanish-language adaptation of the Brief Wisconsin Inventory of Dependence Motives (Brief WISDM) for use among Spanish-speaking Latino smokers in the U.S.

Methods: 287 Spanish-speaking Mexican-origin smokers in the U.S. responded to a revised set of Spanish Brief WISDM items. Confirmatory factor analyses and model trimming procedures were …

Dcrda: Deadline-Constrained Function Scheduling In Serverless-Cloud Platform, Priyanka Ashok Birajdar, Divya Meena, Anurag Satpathy, Sourav Kanti Addya

Computer Science Faculty Research & Creative Works

The serverless computing model frees developers from operational and management tasks, allowing them to focus solely on business logic. This paper addresses the computationally challenging function-container-virtual machine (VM) scheduling problem, especially under stringent deadline constraints. We propose a two-stage holistic scheduling framework called DCRDA targeting deadline-constrained function scheduling. In the first stage, the function-to-container scheduling is modeled as a one-to-one matching game and solved using the classical Deferred Acceptance Algorithm (DAA). The second stage addresses the container-to-VM assignment, modeled as a many-to-one matching problem, and solved using a variant of the DAA, the Revised-Deferred Acceptance Algorithm (RDA), to account for …

Evaluating The Quality Of Support Services For Students With Learning Difficulties: Perspectives Of Resource Room Teachers In The Sultanate Of Oman, Laila Al Salmi, Ibrahim Al Qaryoti, Ali Tekin, Amur Al Aisari, Mariam Al Mamari, Saed Al Saidi

Journal of Educational and Psychological Studies

This study investigates the quality-of-service provision offered by the Learning Difficulties Programs (LDPs) in Oman from the perspective of resource room teachers. Employing a descriptive approach, a sample of 329 teachers responded to a researcher-designed 49-item questionnaire, assessing six key domains: administrative and technical support, diagnosis and assessment procedures, family-school partnerships, curriculum and intervention programs, educational and technological aids, and behavior modification strategies. Results revealed that teachers held neutral perceptions regarding the overall quality of LDPs across most domains, except for the appropriateness of curriculum content for students with learning difficulties, which was rated positively. The study identified a lack …

Making Math Accessible: Addressing Language Challenges In 3rd Grade English Medium Math Classrooms, Salha Mohamad

Theses

The research article, Making Math Accessible: Addressing Language Difficulties in 3^rd Grade English Medium Math Classrooms, addresses the issue of how the teachers in UAE elementary schools assist a student who is to study mathematics in English rather than Arabic. In the School X, Grades 1 and 2 applied mathematics and science using the Ministry of Education (MOE) Arabic-medium curriculum. Since Grade 3, however, the school has used the American curriculum, so students are expected to study these subjects in English. This change brings major barriers in understanding basic mathematical terms, word problems, and instructions. The research applies …

Analyzing The Evolving Digital Public Dialogue On Juneteenth, Ky Nguyen, Quan Nguyen, Khusi Singh, Annie Tran

Annual Student Research Poster Session

This research explores how public conversations surrounding Juneteenth have evolved over time by analyzing 10,000 tweets. Through annotation of sentiment, emotion, and topics, the project provides insight into how Juneteenth is celebrated, debated, and understood across diverse cultural and political contexts. The resulting dataset lays the groundwork for a machine learning model capable of identifying large-scale patterns in language, tone, and narrative.

Weak Identification Of Long Memory With Implications For Volatility Modeling;, Jia Li, Peter C. B. Phillips, Shuping Shi, Jun Yu

Research Collection School Of Economics

This paper explores implications of weak identification in common ‘long memory’ and recent ‘rough’ approaches to modeling volatility dynamics of financial assets. We unveil an asymptotic near-observational equivalence between a long memory model with weak autoregressive dynamics and a rough model with a near-unit autoregressive root. Standard methods struggle to distinguish them, and conventional asymptotics are invalid. We propose an identification-robust approach to construct confidence sets that reveal the uncertainty and aid inference. Empirical studies based on realized volatility and trading volume often fail to statistically reject either model, thereby providing evidence of their potential coexistence.

Unpacking Singapore's Leasehold Relativity Table: An Empirical And Legal Analysis, Koon Shing Kwong, Jing Rong Goh, Seng Wei, Edward Ti

Research Collection School Of Economics

In Singapore, most land is state-owned, with the state generally issuing leasehold estates via state leases of not more than 99 years1, depending on the intended land use. Naturally, the value of a leasehold estate, which erodes over time as the lease approaches the end of its term, is a key component of the premium charged for lease renewals, or the tax imposed for permission given in relation to a development that would increase the value of the land. By law, the state valuation of leasehold land is prescribed by a leasehold relativity table colloquially known as ‘Bala’s Curve’ or …

Short-Term Mortality And Healthcare Utilization Consequences Of Pension Income Receipt: Evidence From South Korea, Mimi Jeon, Seonghoon Kim, Kanghyock Koh

Research Collection School Of Economics

We examine short-term consequences of pension income receipt on mortality and healthcare utilization within the monthly payment cycle. Using the national death registry data of South Korea, we document that the mortality rate decreases by 1.2–1.4 percent in the week of the disbursement date. The mortality-reducing effects are larger for causes of death that could have been avoided through timely and effective healthcare interventions. Using healthcare claims data, we document that the number of hospital admissions increases during the disbursement week. We provide suggestive evidence of greater mortality-reducing effects from a smaller but more frequent disbursement than from a monthly …

Civil Liability For Invasions Of Privacy: Whither Singapore?, Yu Han Lam

Research Collection Yong Pung How School Of Law

Intrusions upon privacy are becoming increasingly common in Singapore. Singapore has yet to establish a tort addressing this issue, although the SAL Law Reform Committee has proposed a tort of misuse of private information. Australia has also recently introduced a statutory tort of serious invasion of privacy. This article will argue for the need for a Singapore tort of intrusion upon seclusion, on top of the already proposed tort of misuse of private information, to cover more appropriately instances of intrusions upon privacy.