Digital Commons Network^™

Baseline Associations Of Office And Ambulatory Blood Pressure Monitoring With Cognitive Function And Dementia Prevalence, Jesus Melgarejo, Dhrumil Patil, Sokratis Charisis, Kristina P. Vatcheva, Silvia Mejia-Arango, Luis J. Mena, Claudia Satizabal, Eron G. Manusov, Sudha Seshadri, Gladys E. Maestre

School of Medicine Publications

Background: High blood pressure has been associated with dementia prevalence and incident. However, it is unclear the relationship of office and ambulatory BP monitoring with cognitive function and dementia and in particular, it remains unknown whether ambulatory BP variability relates to dementia.

Objective: To investigate the associations of office and 24-h blood pressure (BP) with cognitive function and dementia prevalence.MethodsCross-sectional population-based study of 1435 participants aged ≥40 years with office BP/24-h BP, and cognitive assessments (Mini-Mental State Examination [MMSE] and Selective Reminding Test [SRT]). Dementia was diagnosed with a clinical dementia rating ≥1.0. Statistics included logistic and linear regression models. …

Efficiency Of Labor In Winter Pruning Of Apple Trees Using Technological Innovations, Élio Fillipi Dos Santos, Wendel Paulo Silvestre, Lessandra Silva Rodrigues, Carine Cocco

School of Earth, Environmental, & Marine Sciences Faculty Publications

The increase of new technologies in fruit-growing crops has increased productivity in cultural practices and helped farmers expand their production areas. This work aimed to quantify labor performance in winter pruning of apple trees, using manual and electronic scissors associated with utilizing a pruning platform and ladders. The treatments consisted of two types of pruning shears and two support systems. A pruner carried out pruning for 16 days, with a journey of 10 h per day. The average yield in manual pruning with a ladder was 21.35 plants pruned per hour per man. Using a platform, the yield increased to …

Critical Appraisal Of Multidrug Therapy In The Ambulatory Management Of Patients With Covid-19 And Hypoxemia Part I. Evidence Supporting The Strength Of Association, Eleftherios Gkioulekas, Peter A. Mccullough, Colleen Aldous

School of Mathematical & Statistical Sciences Faculty Publications

This critical appraisal is focused on three published case series of 119 COVID-19 patients with hypoxemia who were successfully treated in the United States, Zimbabwe, and Nigeria with similar off-label ivermectin-based multidrug treatments that may include ivermectin, nebulized nanosilver, doxycycline, zinc, Vitamins C, and Vitamin D, resulting in rapid recovery of oxygen levels. We used a simplified self-controlled case series method to investigate the association between treatment and the existence of hospitalization rate reduction. External controls of hospitalized patients were compared against the subgroup of patients with baseline room air SpO2 ≤ 90% to investigate the association between treatment and …

Critical Appraisal Of Multidrug Therapy In The Ambulatory Management Of Patients With Covid-19 And Hypoxemia. Part Ii: Causal Inference Using The Bradford Hill Criteria, Eleftherios Gkioulekas, Peter A. Mccullough, Colleen Aldous

School of Mathematical & Statistical Sciences Faculty Publications

We continue the critical appraisal of three published case series of 119 COVID-19 patients with hypoxemia, treated in the United States, Zimbabwe, and Nigeria with similar ivermectin-based multidrug treatments, to assess the available evidence supporting a causal relationship between treatment and reduction in hospitalizations and mortality. A narrative review was conducted to assess the Bradford Hill criteria for a causal association. We used a previously proposed refinement of the Bradford Hill criteria that reorganized them into three categories of direct, mechanistic, and parallel evidence. The efficacy of the two most aggressive ivermectin-based multidrug protocols is supported by the Bradford Hill …

A Sensitivity Curve Approach To Tuning A Pulsar Timing Array In The Detection Era, Jeremy G. Baier, ‪Jeffrey S. Hazboun, Joseph D. Romano

Physics & Astronomy Faculty Publications

As pulsar timing arrays (PTAs) transition into the detection era of the stochastic gravitational wave background (GWB), it is important for PTA collaborations to review and possibly revise their observing campaigns. The detection of a 'single source' would be a boon for gravitational astrophysics, as such a source would emit gravitational waves for millions of years in the PTA frequency band. Here we present generic methods for studying the effects of various observational strategies, taking advantage of detector sensitivity curves, i.e. noise-averaged, frequency-domain detection statistics. The statistical basis for these methods is presented along with myriad examples of how to …

Conditional Quantization For Uniform Distributions On Line Segments And Regular Polygons, Pigar Biteng, Mathieu Caguiat, Tsianna Dominguez, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

Quantization for a Borel probability measure refers to the idea of estimating a given probability by a discrete probability with support containing a finite number of elements. If, in the quantization some of the elements in the support are preselected, then the quantization is called a conditional quantization. In this paper, we investigate the conditional quantization for the uniform distributions defined on the unit line segments and m-sided regular polygons, where 𝑚≥3, inscribed in a unit circle.

From Genes To Patterns: A Framework For Modeling The Emergence Of Embryonic Development From Transcriptional Regulation, Jimena Garcia-Guillen, Ezzat El-Sherif

School of Integrative Biological & Chemical Sciences Faculty Publications

Understanding embryonic patterning, the process by which groups of cells are partitioned into distinct identities defined by gene expression, is a central challenge in developmental biology. This complex phenomenon is driven by precise spatial and temporal regulation of gene expression across many cells, resulting in the emergence of highly organized tissue structures. While similar emergent behavior is well understood in other fields, such as statistical mechanics, the regulation of gene expression in development remains less clear, particularly regarding how molecular-level gene interactions lead to the large-scale patterns observed in embryos. In this study, we present a modeling framework that bridges …

The Reliability Of Replications: A Study In Computational Reproductions, Nate Breznau, Eike Mark Rinke, Alexander Wuttke, Muna Adem, Jule Adriaans, Esra Akdeniz, Amalia Alvarez-Benjumea, Henrik K. Andersen, Daniel Auer, Amie Bostic

Sociology Faculty Publications

This study investigates researcher variability in computational reproduction, an activity for which it is least expected. Eighty-five independent teams attempted numerical replication of results from an original study of policy preferences and immigration. Reproduction teams were randomly grouped into a ‘transparent group’ receiving original study and code or ‘opaque group’ receiving only a method and results description and no code. The transparent group mostly verified original results (95.7% same sign and p-value cutoff), while the opaque group had less success (89.3%). Second-decimal place exact numerical reproductions were less common (76.9 and 48.1%). Qualitative investigation of the workflows revealed many …

Dynamic Mean-Field Theory For Continuous Random Networks, Wilson A. Zuniga-Galindo

School of Mathematical & Statistical Sciences Faculty Publications

This article studies the dynamics of the mean-field approximation of continuous random networks. These networks are stochastic integrodifferential equations driven by Gaussian noise. The kernels in the integral operators are realizations of generalized Gaussian random variables. The equation controls the time evolution of a macroscopic state interpreted as neural activity, which depends on position and time. Such a network corresponds to a statistical field theory (SFT) given by a momenta-generating functional. Discrete versions of the mentioned networks appeared in spin glasses and as models of artificial neural networks. Each of these discrete networks corresponds to a lattice SFT, where the …

Bayesian Nonparametric Hypothesis Testing Methods On Multiple Comparisons, Qiuchen Hai, Zhuanzhuan Ma

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we introduce Bayesian testing procedures based on the Bayes factor to compare the means across multiple populations in classical nonparametric contexts. The proposed Bayesian methods are designed to maximize the probability of rejecting the null hypothesis when the Bayes factor exceeds a specified evidence threshold. It is shown that these procedures have straightforward closed-form expressions based on classical nonparametric test statistics and their corresponding critical values, allowing for easy computation. We also demonstrate that they effectively control Type I error and enable researchers to make consistent decisions aligned with both frequentist and Bayesian approaches, provided that the …

Quantization Dimensions For Inhomogeneous Bi-Lipschitz Iterated Function Systems, Amit Priyadarshi, Mrinal Kanti Roychowdhury, Manuj Verma

School of Mathematical & Statistical Sciences Faculty Publications

Let ν be a Borel probability measure on a d-dimensional Euclidean space R d , d ≥ 1 , with a compact support, and let ( p 0 , p 1 , p 2 , … , p N ) be a probability vector with p j > 0 for 0 ≤ j ≤ N . Let { S j : 1 ≤ j ≤ N } be a set of contractive mappings on R d . Then, a Borel probability measure μ on R d such that μ = ∑ N j = 1 p j μ ∘ S − …

Hiv And Bacterial Lps Synergistically Activate Aim2 Inflammasome In Primary Human Oral Keratinocytes, Md Shafayat Jamil, Deepa Roy, Upal Roy, Hansapani Rodrigo, Nirakar Sahoo, Chun Xu

Research Symposium

Background: HIV infection profoundly disrupts the oral microbiome, increasing the presence of Gram-negative bacteria such as Porphyromonas gingivalis (P. gingivalis), which is detected in over 80% of cases. P. gingivalis secretes lipopolysaccharide (LPS), a potent immune stimulant that can damage primary human oral keratinocytes (HOK) even in antiretroviral therapy (cART) treated people with HIV (PWH). HOK cells respond to bacterial and viral stimuli by activating inflammasome complexes, including AIM2, a DNA-sensing inflammasome protein. While LPS alone is known to trigger canonical and non-canonical pathways, leading to inflammasome activation, our study investigates how HIV exposure synergizes with LPS to induce the …

Unraveling Genetic Links Between Diabetes And Heart Failure-A Machine Learning Approach, Sunakhi Sahoo, Marzieh Ayati

Research Symposium

Background: Diabetic heart failure (DHF) is defined as a chronic and progressive disease which is associated with both diabetes and heart failure (HF). Even though there have been many developments in the knowledge of these diseases, there is still much to learn about the genetic crossovers between the two. In this study, we identified genes that are associated with diabetic heart failure and heart failure by using gene expression data from patients with DHF, HF, and a control group of patients who died of natural causes. We sought to identify genes that had altered expression levels which could possibly play …

Uca1 As A Key Regulator Of The Warburg Effect During Anoikis Resistance In Colorectal Cancer Metastasis, Ricardo Pequeno Bracho, Salique Hassan Shaham, Yamile Abuchard Anaya, Sophia Leslie, Kyle Doxtater, Subhash Chauhan, Bilal Hafeez, Tamer Oraby, Manish K. Tripathi

Research Symposium

Colorectal carcinoma (CRC) is the second leading cause of cancer-related mortality in the United States. While localized CRC has a 90% five-year survival rate, this drops sharply to 14% upon metastasis. Metastasis occurs in approximately 40–50% of CRC cases and requires cancer cells to acquire anoikis resistance—a critical adaptation allowing survival after detachment from the extracellular matrix, enabling migration and colonization of secondary sites. Understanding the molecular mechanisms driving anoikis resistance, particularly those linked to altered glucose metabolism, is essential for developing targeted therapies for metastatic CRC.

Cancer cells frequently exhibit the Warburg Effect, a metabolic adaptation favoring glycolysis over …

Discounting Effect Size When Borrowing External Data In Clinical Studies, Zhuanzhuan Ma, Chul Ahn, Bin Wang, Xuefeng Li

Research Symposium

Background: When borrowing information from external data to augment a current trial, many available methods discount the sample size but retain the effect size from previous studies. Discounting the sample size is just one way to discount the prior information. It may not be appropriate if the underlying assumption of unbiased treatment effect does not hold, for example, when the treatment effect in the historical study is likely higher than the one expected in the current trial.

Methods: To tackle this potential issue, we study some methods to shrink the effect size from previous studies assuming that the prior effect …

Sparse Bayesian Variable Selection Using Global-Local Shrinkage Priors For The Analysis Of Cancer Datasets, Zhuanzhuan Ma

Research Symposium

Background: With a rapid development of data collection technology, high dimensional data, whose model dimension k may be growing or much larger than the sample size n, is becoming increasingly prevalent in different fields of study, such as ecology, genetics, among others. This data deluge is introducing new challenges to traditional statistical procedures and theories and is thus generating a renewed interest in the problems of variable selection and classification in high dimensional regression models. In large k, small n settings, variable selection is usually the first step for dimension reduction to uncover significant covariates, which contribute to …

Heart Disease Prediction Using Ensemble Tree Algorithms: A Supervised Learning Perspective, Enoch Sakyi-Yeboah, Edmund F. Agyemang, Vincent Agbenyeavu, Akua Osei- Nkwantabisa, Priscilla Kissi-Appiah, Lateef Moshood, Lawrence Agbota, Ezekiel N.N. Nortey

School of Mathematical & Statistical Sciences Faculty Publications

Heart disease stands as a leading cause of morbidity and mortality globally, presenting a significant public health challenge. Therefore, early prediction and detection are critical, leading to timely and appropriate interventions at early stages. Four ensemble tree-based algorithms were used in this study: adaptive boosting, extreme gradient boosting, random forest, and extremely randomized trees, investigating their ability to predict heart disease. Data related to heart disease clinical features was obtained from the open Kaggle Machine Learning Dataset repository. Adaptive Boosting stands out as the highest performer, achieving an average testing accuracy of 93.70%, precision of 93.71%, recall of 93.70%, and …

Joint Involvement In A Psoriasis Affected Population In A Medically Underrepresented Region, Blake C. Martin, Jared Hensley, Manoj Peiris

Research Symposium

Background: Psoriatic arthritis is an aggressive condition that may be characterized by compromised quality of life and significant morbidity. The prevalence of psoriatic arthritis in patients with psoriasis is around 1.7% at 5 years, 3.1% at 10 years, 5.1% at 20 years, and 20.5% at 30 years which shows an increase in joint involvement with increasing age, at least until the age of 30. The objective of this study was to explore joint involvement in psoriatic patients in this region and determine what are the demographic disparities in Psoriatic patients regarding joint involvement. We hypothesized that individuals with psoriasis between …

Gout Versus Pseudogout In The Medically Underserved Rio Grande Valley, Blake C. Martin, Fernando Cisneros, Kristina Vatcheva

Research Symposium

Background: Gout and pseudogout are inflammatory joint conditions, with gout being one of the most prevalent etiologies of chronic inflammatory arthritis in the United States. The patient population in the Rio Grande Valley (RGV) has a distinct demographic profile that warrants exploration of various health conditions. The primary objective of this study is to compare the frequencies of gout and pseudogout in the Rio Grande Valley to national frequencies and determine if there were demographic disparities between Gout and Pseudogout in this community. We hypothesized that the frequency gout and pseudogout would be higher in the RGV compared to the …

Bone And Joint Infections: A Retrospective Chart Review Of The Medically Underserved Rio Grande Valley, Blake C. Martin, Chloe Harris, Manoj Peiris

Research Symposium

Background: The Rio Grande Valley (RGV) is a demographically unique region that is impoverished and medically underserved. Because of its unique patient population, this community may be at increased risk for bone and joint infections and the morbidity and mortality that follows. The goal of this study was to analyze individuals with osteomyelitis, septic arthritis, and periprosthetic joint infections and determine which infectious bone or joint conditions are most prevalent in the Rio Grande Valley and determine if there were any demographic disparities between the various types of bone and joint infections and healthy individuals. We hypothesized that age and …

Extended High-Frequency Hearing And Suprathreshold Neural Synchrony In The Auditory Brainstem, Jithin Raj Balan, Sri Mishra, Hansapani Rodrigo

School of Mathematical & Statistical Sciences Faculty Publications

Elevated hearing thresholds in the extended high frequencies (EHFs) (>8 kHz) are often associated with poorer speech-in-noise recognition despite a clinically normal audiogram. However, whether EHF hearing loss is associated with disruptions in neural processing within the auditory brainstem remains uncertain. The objective of the present study was to investigate whether elevated EHF thresholds influence neural processing at lower frequencies in individuals with normal audiograms. Auditory brainstem responses (ABRs) were recorded at a suprathreshold level (80 dB normal hearing level) from 45 participants with clinically normal hearing. The recording protocol was optimized to obtain robust wave I of the …

Advanced Ligo Detector Performance In The Fourth Observing Run, E. Capote, W. Jia, N. Aritomi, M. Nakano, V. Xu, R. Abbott, I. Abouelfettouh, R. X. Adhikari, Francisco Llamas Villarreal, Volker Quetschke

Physics & Astronomy Faculty Publications

On May 24, 2023, the Advanced Laser Interferometer Gravitational-Wave Observatory (LIGO), joined by the Advanced Virgo and KAGRA detectors, began the fourth observing run for a two-year-long dedicated search for gravitational waves. The LIGO Hanford and Livingston detectors have achieved an unprecedented sensitivity to gravitational waves, with an angle-averaged median range to binary neutron star mergers of 152 and 160 Mpc, and duty cycles of 65.0% and 71.2%, respectively, with a coincident duty cycle of 52.6%. The maximum range achieved by the LIGO Hanford detector is 165 Mpc and the LIGO Livingston detector 177 Mpc, both achieved during the second …

Impact Of Fresh-Cut Onion Types And Flavonoid Profiles On The Survival Kinetics Of Foodborne Pathogen During Refrigerated Storage, Veerachandra Yemmireddy, Matthew Mancias

School of Earth, Environmental, & Marine Sciences Faculty Publications

This study investigated the effect of onion flavonoid profiles on the growth, survival, and/or death kinetics of foodborne pathogens in fresh-cut onions at 4 °C. Fresh-cut white, yellow, red, and sweet onions were inoculated with separate four-strain cocktail(s) of nalidixic acid-adapted Salmonella spp., Escherichia coli O157:H7, and Listeria monocytogenes achieving a 4 to 5 log CFU g−1. The samples were stored in clam shell containers at 4 °C and 70 ± 2 % relative humidity for 14 days. Additionally, flavonoid profiles were determined on uninoculated control samples stored under similar conditions using standard chromatography techniques, with quercetin derivatives identified as …

[Whm] Women's History Month 2025, Raquel Estrada, William Flores

Library Display Posters

Poster showcasing films and books pertaining to women's history month. As well as a curated list of articles and dissertations/theses found in our institutional repository.

Bpen: Brain Posterior Evidential Network For Trustworthy Brain Imaging Analysis, Kai Ye, Haoteng Tang, Siyuan Dai, Igor Fortel, Paul M. Thompson, R. Scott Mackin, Alex Leow, Heng Huang, Liang Zhan

Computer Science Faculty Publications

The application of deep learning techniques to analyze brain functional magnetic resonance imaging (fMRI) data has led to significant advancements in identifying prospective biomarkers associated with various clinical phenotypes and neurological conditions. Despite these achievements, the aspect of prediction uncertainty has been relatively underexplored in brain fMRI data analysis. Accurate uncertainty estimation is essential for trustworthy learning, given the challenges associated with brain fMRI data acquisition and the potential diagnostic implications for patients. To address this gap, we introduce a novel posterior evidential network, named the Brain Posterior Evidential Network (BPEN), designed to capture both aleatoric and epistemic uncertainty in …

Recent Stressful Life Events And Perceived Stress As Serial Mediators Of The Association Between Adverse Childhood Events And Insomnia, Grant Benham, Ruby Charak, Ines Cano-Gonzalez, Joceline Mena Teran, Jordan Kenemore

Psychological Science Faculty Publications

Insomnia is common in college students and linked to poorer mental and physical health. There is growing evidence that adverse childhood experiences (ACEs) may contribute to insomnia in adulthood. However, beyond the need for additional replication of these findings, there is a need to identify underlying mechanisms that plausibly connect the two experiences. Based on a serial mediation model, the current study examined the role of two theoretically informed mediators: recent stressful life events and perceived stress. A cross-sectional survey of 2,218 college students at a large university in the southwestern United States was conducted between August 2020 and December …

Intelligent Soccer Event Detection And Highlights Generation With Broadcast Cues Integration, Anirudh Narayanan, Sergei Chuprov, Leon Reznik, Raman Zatsarenko, Dmitrii Korobeinikov

Computer Science Faculty Publications

In this paper, we present an innovative approach to automate key event detection and highlights generation from soccer match videostreams that allows to improve accuracy and reliability, as well as to reduce data consumption and training time. Our method segments the videostream into distinct frames based on camera angles and activities, and integrates intelligent video analytics with additional visual information provided by broadcasters. As our major novelty in comparison to other intelligent soccer video analysis approaches, we deploy a Multi-Class Image Classifier to segment the video into wide-angle overviews, close-ups, and in-game replays, which allows us to improve the event …

Ground-Based Reconnaissance Observations Of 21 Exoplanet Atmospheres With The Exoplanet Transmission Spectroscopy Imager, Ryan J. Oelkers, Luke M. Schmidt, Erika Cook, Mary Anne Limbach, Darren L. Depoy, J. L. Marshall, Jimmy Ardoin, Mitchell Barry, Evan Batteas, Alexandra Boone

Physics & Astronomy Faculty Publications

One of the most prolific methods of studying exoplanet atmospheres is transmission spectroscopy, which measures the difference between the depth of an exoplanet's transit signal at various wavelengths and attempts to correlate the depth changes to potential features in the exoplanet's atmosphere. Here we present reconnaissance observations of 21 exoplanet atmospheres measured with the Exoplanet Transmission Spectroscopy Imager (ETSI), a recently deployed spectrophotometer on the McDonald Observatory Otto Struve 2.1 m telescope. ETSI measurements are mostly free of systematics through the use of a novel observing technique called common-path multiband imaging (CMI), which has been shown to achieve photometric color …

The Effect Of Vera C. Rubin Observatory Cadence Selections On Kilonova Detectability, Cristina Andrade, Raiyah Alserkal, Luis Salazar Manzano, Emma Martin, Igor Andreoni, Michael W. Coughlin, Nidhal Guessoum, Liliana Rivera Sandoval

Physics & Astronomy Faculty Publications

The discovery of the optical/infra-red counterpart (AT2017gfo) to the binary neutron star gravitational-wave detection (GW170817), which was followed by a short gamma-ray burst (GRB 170817), marked a groundbreaking moment in multi-messenger astronomy. To date, it remains the only confirmed joint detection of its kind. However, many experiments are actively searching for similar fast-fading electromagnetic counterparts, known as kilonovae. Fortunately, the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) provides excellent prospects for identifying kilonova candidates either from, or independent of, gravitational-wave and GRB triggers. Cadence choices for LSST surveys are especially important for maximising the likelihood of …

On Explicit Solutions For Coupled Reaction-Diffusion And Burgers-Type Equations With Variable Coefficients Through A Riccati System, Jose M. Escorcia, Erwin Suazo

School of Mathematical & Statistical Sciences Faculty Publications

This work is concerned with the study of explicit solutions for generalized coupled reaction-diffusion and Burgers-type systems with variable coefficients. Including nonlinear models with variable coefficients such as the diffusive Lotka-Volterra model, the Gray-Scott model, the Burgers equations. The equations' integrability (via the explicit formulation of the solutions) is accomplished by using similarity transformations and requiring that the coefficients fulfill a Riccati system. We present traveling wave-type solutions as well as solutions with more complex dynamics and relevant features such as bending. A Mathematica file has been prepared as supplementary material, verifying the Riccati systems used in the construction of …