Digital Commons Network^™

Comprehensive Benchmarking Of Several Machine Learning And Bayesian Models For Early-Stage Diabetes Risk Prediction: A Large-Scale Comparative Study, Md. Iqbal Hossain, Najila Alam Porno

Mathematics & Statistics Faculty Publications

Diabetes remains a critical global health challenge, with early detection is crucial for effective management. This study presents a comprehensive benchmarking analysis of 14 diverse machine learning and Bayesian models for early-stage diabetes risk prediction using clinical data [2] from Sylhet, Bangladesh. This research evaluated traditional methods (Logistic Regression, Decision Trees), ensemble techniques (Random Forest, XGBoost, LightGBM), Bayesian approaches (BART, Bayesian Logistic Regression), and advanced neural architectures (Deep Belief Networks) using both 70-30 train-test splits and 10-fold cross-validation. The results demonstrate that ensemble methods consistently outperformed other approaches, with Random Forest(RF) achieving the highest cross-validated AUC (0.9951) and accuracy (0.9699). …

Model-Free Organization Of Patient Reported Outcomes Data: Geometrical Rep-Resentation Of The Modified Compartmen-Talization Method, Manasi Sheth, N. Rao Chaganty

Mathematics & Statistics Faculty Publications

There is a recent advancement in the field of mathematics and statistics to understand the geometry or connectedness of the data due to the massive amounts of data being generated. The data provided for analyses are usually very large and need to be organized and minimized in order to make it more useful and meaningful. In biostatistics or medical field, it is important for patients to have access to high-quality, safe and effective and/ or efficacious medical products. It is quite necessary to ascertain that the patients and their care-partners stay at the center of the regulatory decision-making process. In …

A Comparative Analysis Of Preprocessing Filters For Deep Learning-Based Equipment Power Efficiency Classification And Prediction Models, Sang-Ha Sung, Chang-Sung Seo, Michael Pokojovy, Sangjin Kim

Mathematics & Statistics Faculty Publications

The quality of input data is critical to the performance of time-series classification models, particularly in the domain for industrial sensor data where noise and anomalies are frequent. This study investigates how various filtering-based preprocessing techniques impact the accuracy and robustness of a Transformer model that predicts power efficiency states (Normal, Caution, Warning) from minute-level IIoT sensor data. We evaluated five techniques: a baseline, Simple Moving Average, Median filter, Hampel filter, and Kalman filter. For each technique, we conducted systematic experiments across time windows (360 and 720 min) that reflect real-world industrial inspection cycles, along with five prediction offsets (up …

Modeling Non-Normal Distributions With Mixed Third-Order Polynomials Of Standard Normal And Logistic Variables, Mohan D. Pant, Aditya Chakraborty, Ismail El Moudden

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Continuous data associated with many real-world events often exhibit non-normal characteristics, which contribute to the difficulty of accurately modeling such data with statistical procedures that rely on normality assumptions. Traditional statistical procedures often fail to accurately model non-normal distributions that are often observed in real-world data. This paper introduces a novel modeling approach using mixed third-order polynomials, which significantly enhances accuracy and flexibility in statistical modeling. The main objective of this study is divided into three parts: The first part is to introduce two new non-normal probability distributions by mixing standard normal and logistic variables using a piecewise function of …

Impacts Of Tick Parasitism On The Rodent Gut Microbiome, Robert J. Brinkerhoff, Joshua Pandian, Meghan Leber, Isabella D. Hauser, Holly D. Gaff

Biological Sciences Faculty Publications

Host microbiota may impact disease vector behavior and pathogen transmission, but little is known about associations between ectoparasites and microbial communities in wildlife reservoir species. We used Illumina metagenomic sequencing to explore the impacts of tick parasitism on the rodent fecal microbiome in both a field and laboratory setting. We found that tick parasitism on wild hosts was associated with variation in the fecal microbiota of both the white-footed deermouse, Peromyscus leucopus, and the southern cotton rat, Sigmodon hispidus. In a lab experiment, we detected significant changes to the fecal microbiome after experimental exposure to immature ticks in …

Multi-Locas Gwas Mapping And Candidate Gene Analysis Of Anticancer Peptide Lunasin In Soybean (Glycine Max L. Merr), Rikki Locklear, Jennifer Kusumah, Layla Rashad, Felicia Lugaro, Sonia Viera, Nathan Kipyego, Faith Kipkosgei, Daisy Jerop, Shirley Jacquet, Mythy Addelmajid Kassem, Jiazheng Yuan, Elvira De Mejia, Rouf Mian

Biological Sciences Faculty Publications

Soybean (Glycine max) peptide lunasin exhibits significant cancer-preventive, antioxidant, and hypocholesterolemic effects. This study aimed to identify quantitative trait nucleotides (QTNs) associated with lunasin content and to annotate the candidate genes in the soybean genome. The mapping panel of 144 accessions was gathered from the USDA Soybean Germplasm Collection, encompassing diverse geographical origins and genetic backgrounds, and was genotyped using SoySNP50K iSelect Beadchips. The lunasin content in soybean seeds was measured using the enzyme-linked immunosorbent assay (ELISA) method, with lipid-adjusted soybean flour prepared from seeds obtained from the Germplasm Resource Information Network (GRIN) of USDA-ARS in 2003 and …

Herpetofauna Richness, Diversity, And Occurrence At The Northern Ecotone Of Longleaf Pine, Julianne Jones, Dylan Bryant, Erik Yando

Biological Sciences Faculty Publications

Habitat suitability commonly differs between the core and periphery of ecosystems. The longleaf pine ecosystem is recognized for its value in providing habitat to a variety of specialist and endemic species, especially herpetofauna. However, at the northernmost extent of longleaf pine (in southeastern Virginia) little is known about the denizen reptiles and amphibians. Moreover, the remaining longleaf pine ecosystem at the latitudinal ecotone is fragmented amongst a mosaic of other ecosystems. We examined herpetofauna diversity, richness, and capture rates between four focal habitat types—mature longleaf pine, restored longleaf pine, maple-gum swamp, and pocosin-bog—in the Zuni Pine Barrens of southeastern Virginia. …

Codec-M: The Multi-Lingual Manosphere Subcorpus Of The Corpus Of Digital Extremism And Conspiracies, Rachel Mccullough, Daniel Drylie, Mindl Barta, Cass Dykeman, Daniel Smith

English Faculty Publications

In 2023, the U.S. Surgeon General warned the public of the current “loneliness epidemic” and its potential consequences on physical and mental health. One possible consequence of this epidemic is the growth of a movement defined by loneliness and isolation: the incel (“involuntary celibate”) movement. This warning presents a worrying glimpse at the future, as the incel movement, along with other parts of the manosphere, is one that espouses violently misogynist rhetoric which is intrinsically linked to right-wing extremism. While linguistic studies have been conducted on the speech of incels and other constituent movements of the manosphere, few of these …

"They Just Don't Have The "Doctor" In Front Of Their Name:" Dimensions Of Trust In Physician Assistants, Staci Defibaugh, Leah Onosato

English Faculty Publications

Physician assistants play a major role in healthcare delivery in the United States, yet what we know about how patients perceive the care they receive from PAs is limited. Prior research on patients’ impressions of PAs has focused primarily on survey data, limiting the scope of what we can learn about patient impressions to predetermined, quantifiable categories, and has focused on post-visit impressions of a single encounter. In an attempt to better understand patient impressions, we conducted open-ended, semi-structured interviews with 30 participants prior to their medical visit, focusing on general impressions of PAs. Through an analytic process of reflexive …

Toward A Decolonial Digitality: On Seb Franklin's The Digitally Disposed, Travis Alexander

English Faculty Publications

[Introduction] If the long hot summer of 2020 marked a season of racial reckoning, it was also—now visible in retrospect—a moment for processing with the relation between digital technologies and power. 8:46 after all names not only an event, a murder, but the title of a short digital film. A film, moreover, that has found decisively counterposed audiences in its ongoing afterlives. A forensics of police violence, on the one hand, 8:46 also avails, in the shadier corners of the dark web, the pleasures of a snuff film. In this way, 8:46 is emblematic of a broader, and, perhaps, terminal …

Is It Getting Better? An Evaluation Of Two Successive Generations Of Chatgpt In Answering Specialized Vascular Surgery Questions, Dongjin Suh, Quang Le, Leana Dogbe, Kedar Lavingia, Michael Amendola

Department Surgery Faculty Publications

Purpose: Large language models (LLMs) can generate clinically relevant text; however, their performance in highly specialized medical domains remains uncertain. This study evaluated ChatGPT-3.5 and ChatGPT-4 (OpenAI) using vascular surgery board–style questions from the Vascular Education and Self-Assessment Program, version 4 (VESAP4) and compared the two public model versions (June and November 2023).

Materials and Methods: All non-image VESAP4 questions (n=384) were presented independently three times to each model version (ChatGPT-3.5 June/November; ChatGPT-4, June/November). Outcomes included accuracy (proportion correct), consistency (same option letter across all three attempts and “consistently correct”), explanation length (word count), and modes of failure classified for …

Surgical Management Of Gastroenteropancreatic Neuroendocrine Tumors, Lisa M. Kenney, Marybeth Hughes

Department Surgery Faculty Publications

Background/Objectives: Neuroendocrine tumors (NETs) are heterogeneous malignancies arising from enterochromaffin cells that can arise from the gastrointestinal (GI) tract and pancreas. Surgical management is the cornerstone of treatment, with the optimal approach tailored by tumor grade, size, location, and presence of metastasis. This review discusses the current strategies for the surgical management of NETs of the gastroenteropancreatic tract. Methods: A review of the available literature was conducted to evaluate surgical approaches to NETs. Consensus guidelines were incorporated to synthesize evidence-based recommendations. Results: For gastric NETs, surgical approach depends on Rindi Classification, WHO grade, and tumor size, with endoscopic approaches favored …

Therapy-Based Strategies To Support Tummy Time In Infants Post-Hospital Discharge: A Scoping Review Protocol, Ketaki Inamdar, Sonia Khurana

Rehabilitation Sciences Faculty Publications

Tummy time is essential for infant development, yet many caregivers face significant challenges with adherence due to behavioral and contextual barriers. While numerous tummy time interventions exist, a limited understanding of their behavioral components hinders effective replication and implementation. This scoping review aims to identify multidisciplinary interventions used to promote tummy time in infants aged 0–12 months, evaluate their impact on adherence, developmental and health outcomes, and examine the behavior change techniques employed using the Theoretical Domains Framework (TDF). Following the Joanna Briggs Institute (JBI) methodology, a comprehensive search will be conducted in MEDLINE (PubMed), Web of Science Core Collection, …

Large-Bore Mechanical Thrombectomy Versus Catheter-Directed Thrombolysis In The Management Of Intermediate-Risk Pulmonary Embolism: Primary Results Of The Peerless Randomized Controlled Trial, Wissam A. Jaber, Carin F. Gonsalves Md, Stefan Stortecky, Samuel Horr, Ripal T. Gandhi, Keith Pereira, Jay Giri, Sameer J. Khandhar, Khawaja Afzal Ammar, David M. Lasorda, Brian Stegman, Lucas Busch, David J. Dexter, Ezana M. Azene, Nikhil Daga, Fakhir Elmasri, Chandra R. Kunavarapu, Mark E. Rea, Joseph S. Rossi, Joseph Campbell, Jonathan Lindquist, Adam Raskin, Jason C. Smith, Thomas M. Tamlyn, Gabriel A. Hernandez, Parth Rali, Torrey R. Schmidt, Jeffrey T. Bruckel, Juan C. Camacho, Jun Li, Samy Selim, Catalin Toma, Sukhdeep Singh Basra, Brian A. Bergmark, Bhavraj Khalsa, David M. Zlotnick, Jordan Castle, David J. O'Connor, C. Michael Gibson, For The Peerless Committees And Investigators

Department Surgery Faculty Publications

BACKGROUND: There are a lack of randomized controlled trial data comparing outcomes of different catheter-based interventions for intermediate-risk pulmonary embolism.

METHODS: PEERLESS is a prospective, multicenter, randomized controlled trial that enrolled 550 patients with intermediate-risk pulmonary embolism with right ventricular dilatation and additional clinical risk factors randomized 1:1 to treatment with large-bore mechanical thrombectomy (LBMT) or catheter-directed thrombolysis (CDT). The primary end point was a hierarchal win ratio composite of the following (assessed at the sooner of hospital discharge or 7 days after the procedure): (1) all-cause mortality, (2) intracranial hemorrhage, (3) major bleeding, (4) clinical deterioration and/or escalation …

Virtual Learning In Emergency Medicine Residency Programs, Ashley Rider, Laura Oh, Rahul Bhat, Michael Gottlieb, Bruce Lo, Ulemu Luhanga, Shayne Gue, Jason Laenngfeld, Sarah Greenberger, Jeffery Hill, Jonathan Heidt

Department of Emergency Medicine Faculty Publications

During the COVID-19 pandemic, educational systems worldwide faced significant disruptions as in-person learning became unfeasible. In response, many institutions, including graduate medical education programs, swiftly transitioned to virtual learning platforms to adapt to these challenges. The rapid and unplanned pivot in learning format resulted in temporary negative impacts on residency training. Conversely, the experience of the rapid shift may have resulted in some long-term benefits while also preparing programs for future disruptions. This review aimed to discuss the advantages and disadvantages of virtual learning, potential mitigation strategies for the realized disadvantages, and potential areas of future research.

The Impact Of Ultra-Processed Foods On Cardiovascular Diseases And Cancer: Epidemiological And Mechanistic Insights, Olorunfemi Oyewole Babalola, Ebenezer Akinnusi, Paul Olamide Ottu, Kpomah Bridget, Godspower Oyubu, Samuel Ayomikun Ajiboye, Sakariyau Adio Waheed, Amafili Chibuzo Collette, Hameedah Oluwatoyin Adebimpe, Chibuzo Valentine Nwokafor, Ebenezer Ayomide Oni, Precious Olayinka Aturamu, Opeyemi Iwaloye

Chemistry & Biochemistry Faculty Publications

Ultra-processed foods (UPFs) are increasingly recognized as contributors to the pathogenesis of cardiovascular diseases (CVDs) and cancer due to their adverse compositional and mechanistic effects. UPFs, distinguished by their high content of unhealthy fats, sodium, refined sugars, and synthetic additives, significantly increase dyslipidemia, hypertension, and obesity, which are key risk factors for CVDs. Chronic consumption leads to systemic inflammation, gut microbiota dysbiosis, endothelial dysfunction, and oxidative stress. Additives such as artificial sweeteners and sodium nitrites in UPFs are associated with carcinogenesis through mechanisms involving genotoxicity and promotion of inflammatory microenvironments. This review critically evaluates existing epidemiological, mechanistic, and clinical evidence …

Amorphous Quininium Aspirinate From Neat Mechanochemistry: Diffracting Nanocrystalline Domains And Quick Recrystallization Upon Exposure To Solvent Vapours, Silvina Pagola, James Howard, Johannes Merkelbach, Danny Stam

Chemistry & Biochemistry Faculty Publications

Quininium aspirinate is mechanochemically prepared as a crystalline solid by liquid-assisted grinding, or as an amorphous phase (as determined by X-ray powder diffraction), by neat grinding or neat ball milling. Our previous work demonstrated using FT-IR spectroscopy that a mechanochemical reaction had occurred in the mechanically treated neat mixtures. Herein is reported that microcrystal electron diffraction (microED) afforded the discovery of two diffracting micron-size particles in the amorphous powder synthesized by manual grinding, among a majority of non-diffracting particles. Remarkably, microED data of one of them led to the known lattice parameters of quininium aspirinate. Furthermore, this so-called 'X-ray amorphous' …

A Comparison Of Microcrystal Electron Diffraction And X-Ray Powder Diffraction For The Structural Analysis Of Metal-Organic Frameworks, Erik Biehler, Silvana Pagola, Daniel Stam, Johannes Merkelbach, Christian Jandl, Tarek M. Abdel-Fattah

Chemistry & Biochemistry Faculty Publications

This study successfully implemented microcrystal electron diffraction (microED) and X-ray powder diffraction (XRPD) for the crystal structure determination of a new phase, TAF-CNU-1, Ni(C₈H₄O₄)·3H₂O, solved by microED from single microcrystals in the powder and refined at the kinematic and dynamic electron diffraction theory levels. This nickel metal–organic framework (MOF), together with its cobalt and manganese analogues with formula M (C₈H₄O₄)·2H₂O with M = Mn ^II or Co^II, were synthesized in aqueous media as one-pot preparations from the corresponding hydrated metal chlorides and sodium terephthalate, as a promising `green' synthetic route to moisture-stable MOFs. The crystal structures of the …

Extended Inter-Laboratory Characterization Of The New Coastal Seawater Dissolved Organic Matter Reference Material Trm-0522, Alexander J. Craig, Lydia Babcock-Adams, Maxime C. Bridoux, Charlotte Brun, Juliana D'Andrilli, Aleksandar I. Goranov, Patrick G. Hatcher, Oliver Lechtenfeld, Hang Li, Rebecca Matos, Garrett Mckay, Amy M. Mckenna, Madelyn Miller, Sasha Wagner, Margot E. White, Alexander Zherebker, Jeffrey A. Hawkes

Chemistry & Biochemistry Faculty Publications

Dissolved organic matter (DOM) reference materials are critical to ensuring reliable comparability of measurements across experiments and between labs. TRM-0522, isolated in 2022 from 45 m deep seawater off of Sweden’s west coast, fills the niche of a previously unavailable coastal marine DOM reference material. After its isolation, we detailed a limited number of metrics for TRM-0522, initially disclosing Orbitrap high-resolution mass spectrometry, nuclear magnetic resonance, carbon proportion, absorbance, and fluorescence data. With TRM-0522 becoming more widely used, a variety of labs have generated different metrics that help to characterize and define the chemical properties of this coastal reference material. …

An E. Coli Two-Hybrid System To Investigate Human Protein-Protein Interactions, Rebecca M. Richardson, Sarah M. Ho, Lane Tong, Morgan G. Daniels, Steven M. Pascal

Chemistry & Biochemistry Faculty Publications

Abstract

The LexA-E. coli two-hybrid (LexA-E2H) system was initially developed to study interactions between microbial proteins in an Escherichia coli (E. coli) environment. We here demonstrate its utility for studying mammalian protein interactions. Specifically, this study uses LexA-E2H to provide the first direct and quantitative validation of Glucose Regulated Protein 78 (GRP78) binding to the cleaved-Prostate Apoptosis Response 4 (cl-Par-4) tumor suppressor. Furthermore, the results establish that this interaction does not require phosphorylation of either protein. MacConkey agar was used for initial detection of the interaction through colorimetric colony screening, distinguishing pale white-pink colonies (+ interaction) from …

Analysis Of Aerosols In The Asian Monsoon Anticyclone As Observed By The Atmospheric Chemistry Experiment, M. Lecours, R. Dodangodage, C. D. Boone, P. F. Bernath

Chemistry & Biochemistry Faculty Publications

During the Asian summer monsoon season, pollutants from the lower troposphere are transported through deep convection to the upper troposphere and lower stratosphere. Surface pollutants such as CO are transported upward and trapped in the anticyclone during this unique atmospheric phenomenon. Associated with the anticyclone is a layer of enhanced aerosols located near the tropopause often referred to as the Asian tropopause aerosol layer (ATAL). The chemical and physical properties of aerosols in the ATAL are not yet fully understood as direct observations of the aerosols are limited. The Atmospheric Chemistry Experiment (ACE) is a satellite mission that provides high-resolution …

Protonic Capacitor Cell Energetics: Transmembrane-Electrostatically Localized Protons/Cations, James Weifu Lee

Chemistry & Biochemistry Faculty Publications

The transmembrane-electrostatically localized protons/cations charges (TELPs/TELCs) theory can serve as a theoretical framework to better explain cell electrophysiology and elucidate bioenergetic systems including both delocalized and localized protonic coupling. According to the TELCs model, the excess positive charges of TELCs at one side of the membrane are balanced by the excess negative charges of transmembrane-electrostatically localized hydroxides anions (TELAs) at the other side of the membrane. Through the TELCs-membrane-TELAs capacitor model, the energetics of oxidative phosphorylation have recently been better elucidated in mitochondria and alkalophilic bacteria, leading to the identification of a novel Type-B energetic process. Both the TELCs model …

Deciphering The Chemistry Of Condensed Aromatic "Black" Carbon And Nitrogen In Amazonian Anthrosols, João Vitor Dos Santos, Aleksandar I. Goranov, Laís G. Fregolente, Marcia C. Bisinoti, Zhenhuan Sun, Klaus Schmidt-Rohr, Patrick G. Hatcher

Chemistry & Biochemistry Faculty Publications

Amazonian anthrosols are renowned for their high fertility and dark color, properties primarily attributed to the abundance of condensed aromatic carbon (ConAC) in the soil organic matter. ConAC, commonly referred to as black carbon, play a key role in the stability and nutrient retention of these soils. However, the processes governing the formation of ConAC and its transformation into oxygenated derivatives remain poorly understood. In this study, we used multiple analytical platforms to investigate the chemistry of ConAC-rich humic acids (HA) extracted from Terra Mulata de Indio, a type of Amazonian anthrosol. The results reveal that ConAC are predominantly …

Application Of Telc Model To Better Elucidate Neural Stimulation By Touch, James Weifu Lee

Chemistry & Biochemistry Faculty Publications

Aim: This study is to better understand how the transient ion transport activity of touch receptors could change the graded potential to stimulate an action potential firing.

Methods: The latest transmembrane-electrostatically localized protons/cations charges (TELC) theory is employed for numerical analysis to calculate the neural touch signal transduction responding time required to fire an action potential spike.

Results: A neural action potential spike was constructed successfully using newly developed time-dependent TELC-based neural transmembrane potential integral equations (Equations 5, 6, and 7). The results explicated that the TELC curve has an inverse relationship with neural transmembrane potential since its curve appears …

Decoding Tattoo And Permanent Makeup Pigments: Linking Physicochemical Properties To Absorption, Distribution, Metabolism, And Elimination Profiles Using Quantitative Structure-Activity Relationship (Qsar)-Based New Approach Methodologies (Nams), Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey

Biological Sciences Faculty Publications

The safety and quality of tattoo and permanent makeup (PMU) pigments are subject to increased scrutiny due to their potential to cause adverse effects like anaphylaxis, photoallergic responses, and long-term toxicity. These undesirable reactions governed by their chemical structure possess varied physicochemical properties and absorption, distribution, metabolism, and elimination (ADME) characteristics. These properties control the pigment behavior during application, stability, and interaction with human tissue. The correlation between these physicochemical characteristics and ADME parameters of tattoo/PMU pigments remain under-explored despite the current advances in toxicology. Our study aims to address and bridge the gap by leveraging open-access QSAR computational toxicology …

Building Heat-Resilient Caribbean Reefs: Integrating Thermal Thresholds And Coral Colonies Selection In Restoration, Macarena Blanco Pimentel, Johanna Calle-Triviño, Daniel J. Barshis, Sancia E. T. Van Der Meij, Megan K. Morikawa

Biological Sciences Faculty Publications

Caribbean reefs face increasingly frequent and intense bleaching events, adding to the numerous other threats impacting these ecosystems. Addressing these challenges requires global action to reduce climate drivers, along with local efforts like reef restoration. Active restoration using thermotolerant coral colonies offers a potential strategy to alleviate these impacts; however, gaps remain in identifying context-specific temperature thresholds to guide colony selection and standardize thermotolerance assessment methods. This study addressed these gaps in two phases. First, by determining practical thresholds to differentiate species responses to heat stress; and second, by developing a framework to identify and prioritize resilient colonies for restoration. …

Validating A Novel Capability Of Assessing Pathways Of Animal Water Gain And Loss, Zachary T. Steele, Karen Caceres, Zachary A. David, Lisa M. Shollenberger, Alexander R. Gerson, Seth D. Newsome, John P. Whiteman

Biological Sciences Faculty Publications

Understanding variations in the routes by which wild animals gain and lose water is challenging, and common methods require longitudinal sampling, which can be prohibitive. However, a new approach uses Δ′¹⁷O_BW (Δ′¹⁷O of animal body water), calculated from measurements of δ′¹⁷O and δ′¹⁸O in a single sample, as a natural tracer of water flux. Δ′¹⁷O_BW is promising, but its relationship to organismal variables such as metabolic rate and water intake have not been validated. Here, we continuously measured oxygen influxes and effluxes of captive deer mice (Peromyscus maniculatus), and manipulated their water intake and metabolic rate. We used …

Hair Growth Rate Estimation In North American Ursids, Jennifer H. Stern, Karyn D. Rode, Craig A. Stricker, Sheriden Ploof, Cindy L. J. Roberts, Celess Edinger, Mary Humbyrd, Nate Wagner, Megan A. Owen, John P. Whiteman, Thea Bechshoft, Brent White, Kristin L. Laidre

Biological Sciences Faculty Publications

The feeding ecology of wildlife populations has important implications for individual health, population productivity and distribution patterns. For ursids (bears), food resources and feeding behaviour primarily affect population dynamics via effects on cub production and survival. Much of what is known about the feeding ecology of bears is based on analyses of tissues collected from capture-based research efforts, harvested animals or non-invasive approaches. However, inference about diet from hair has been limited by a lack of quantitative data on the timing of the moult and hair growth rates. We conducted a study to develop and test two methods of quantifying …

The Association Between Food Benefit Online Ordering And Redemptions: Evidence From The Special Supplemental Nutrition Program For Women, Infants, And Children, Junzhou Zhang, Chuanyi Tang, Kayoung Park, Qi Zhang

Marketing Faculty Publications

Objective:

To examine how the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) online food benefit ordering could influence WIC benefit redemptions.

Design:

A cross-sectional study. We compare the average redemption rates between online ordering early adopters and non-adopters among WIC customers before and after implementing WIC online ordering. A propensity score-weighted difference-in-difference model was used to estimate the coefficients.

Setting:

The Oklahoma WIC programme and a grocery store chain in Oklahoma.

Participants:

12743 Oklahoma WIC households that had redeemed their food benefits at the grocery store chain in 2020.

Results:

WIC online ordering significantly positively affected redemption …

Emerging Nanotechnology Approaches For Blood Disorders: A Comprehensive Review Of Nano-Hematinics And Plant-Based Nanomedicines, Hassan Abdulsalam Adewuyi, Khairat Shamsudeen, Fatima Mahmoud Muhammad, Adeola Kolawole Victor, Sakariyau Adio Waheed, Adepeju Matilda Adekoya, Kashim Ibrahim Muhammad, Blessing Temitayo Longe, Abdulgaffar Abdulquddus

Chemistry & Biochemistry Faculty Publications

Background: Disorders affecting blood components, such as anemia, coagulopathies, and hematologic malignancies, continue to pose significant global health burdens. Traditional therapies often fall short due to adverse effects, limited bioavailability, and insufficient targeting of disease sites.

Objective: This review synthesizes current advances in nano-hematinics and plant-based nanomedicines (phyto-nanomedicines) as innovative strategies for managing blood-related conditions. These nanoscale interventions are designed to enhance therapeutic precision, bioactivity, and safety.

Methods: A systematic review was conducted using major scientific databases including PubMed, Scopus, Web of Science, and ScienceDirect. Search terms were carefully selected to retrieve literature published between 2015 and 2024 that discussed …