Digital Commons Network^™

Review Of Before Borders: A Legal And Literary History Of Naturalization, Melissa J. Ganz

English Faculty Research and Publications

No abstract provided.

Effects Of Ischemic Conditioning On Microvascular Reactivity To Single Passive Limb Movement In Young Adults: A Pilot Study, Alicen A. Whitaker-Hilbig, Jennifer N. Nguyen, Amanda E. Wietrzny, Gabriel R. Merkow, Sergey Tarima, Emilie A. Klevenow, Luke Nelson, Allison S. Hyngstrom, Matthew J. Durand

Physical Therapy Faculty Research and Publications

Purpose

Single passive limb movement (sPLM) of the lower extremity is a simple and clinically relevant measure of the microvascular vasodilatory response to movement. A promising stimulus to improve microvascular health is ischemic conditioning (IC). We examined whether a single session of IC could improve microvascular reactivity to sPLM in young adults.

Methods

This was a blinded, crossover, randomized clinical trial. Participants were seated in an isokinetic dynamometer that passively moved the knee 90° at a frequency of 1 Hz while superficial femoral artery leg blood flow (LBF) was measured. The absolute and the relative peak changes in LBF were …

Hydrolysis Of The Acetyl-Coa Allosteric Activator By Staphylococcus Aureus Pyruvate Carboxylase, Amanda J. Laseke, Jeremy R. Lohman, Martin St. Maurice

Biological Sciences Faculty Research and Publications

Pyruvate carboxylase (PC) catalyzes the carboxylation of pyruvate to oxaloacetate which serves as an important anaplerotic reaction to replenish citric acid cycle intermediates. In most organisms, the PC-catalyzed reaction is allosterically activated by acetyl-coenzyme A. It has previously been reported that vertebrate PC can catalyze the hydrolysis of acetyl-CoA, offering a potential means for the enzyme to attenuate its allosteric activation. However, in the years since this initial report, there has been no further investigation of this phenomenon. The allosteric binding site for acetyl-CoA is now well characterized, enabling more detailed studies on acetyl-CoA hydrolysis at the allosteric site. Here, …

Identification Of Diverse Bacteriophages Associated With Bees And Hoverflies, Rohan A. Bandoo, Simona Kraberger, Cahit Ozturk, Michael C. Lund, Qiyun Zhu, Chelsea N. Cook, Brian Smith, Arvind Varsani

Biological Sciences Faculty Research and Publications

Bacteriophages are the most numerous, ubiquitous, and diverse biological entities on the planet. Prior studies have identified bacteriophages associated with pathogenic and commensal microbiota of honeybees. In this study we expand on what is known about bacteriophages from the lineages Caudoviricetes, Inoviridae, and Microviridae, which are associated with honeybees (Apidae, Apis mellifera), solitary bees of the genus Nomia (Halictidae, Nomia), and hoverflies (Syrphidae). The complete genomes of seven caudoviruses, seven inoviruses, and 288 microviruses were assembled from honeybees (n = 286) and hoverflies in Arizona (n = 2). We used bacterial host predictive …

The Rad6-Like Ubiquitin Conjugase Gene Osubc7 Has A Positive Role In The Early Cold Stress Tolerance Response Of Rice, Huy Phan, Michael Schläppi

Biological Sciences Faculty Research and Publications

Background/Objectives: Cold stress poses a significant threat to Asian rice cultivation, disrupting important physiological processes crucial for seedling establishment and overall plant growth. It is, thus, crucial to elucidate genetic pathways involved in cold stress tolerance response mechanisms. Methods: We mapped OsUBC7, a Radiation-sensitive 6 (RAD6)-type homolog of rice, to a low-temperature seedling survivability (LTSS) QTL and used genomics, molecular genetics, and physiological assays to assess its role in plant resilience against low-temperature stress. Results: OsUBC7 is cold responsive and has higher expression levels in cold-tolerant japonica than cold-sensitive indica. Overexpression of OsUBC7 enhances LTSS of indica and freezing tolerance …

Pfas In Landfill Leachate: Practical Considerations For Treatment And Characterization, Fabrizio Sabba, Christian Kassar, Teng Zeng, Synthia P. Mallick, Leon Downing, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Per- and polyfluoroalkyl substances (PFAS) are widely used in consumer products and are particularly high in landfill leachate. The practice of sending leachate to wastewater treatment plants (WWTPs) is an issue for utilities that have biosolids land application limits based on PFAS concentrations. Moreover, landfills may face their own effluent limit guidelines for PFAS. The purpose of this review is to understand the most appropriate treatment technology combinations for mitigating PFAS in landfill leachate. The first objective is to understand the unique chemical characteristics of landfill leachate. The second objective is to establish the role and importance of known and …

A New G Family: Properties, Characterizations, Different Estimation Methods And Port-Var Analysis For U.K. Insurance Claims And U.S. House Prices Data Sets, Ahmad M. Aboalkhair, Gholamhossein Hamedani, Nazar Ali Ahmed, Mohamed Ibrahim, Mohammad A. Zayed, Haitham M. Yousof

Mathematical and Statistical Science Faculty Research and Publications

This paper introduces a new class of probability distributions, termed the generated log exponentiated polynomial (GLEP) family, designed to enhance flexibility in modeling complex real financial data. The proposed family is constructed through a novel cumulative distribution function that combines logarithmic and exponentiated polynomial structures, allowing for rich distributional shapes and tail behaviors. We present comprehensive mathematical properties, including useful series expansions for the density, cumulative, and quantile functions, which facilitate the derivation of moments, generating functions, and order statistics. Characterization results based on the reverse hazard function and conditional expectations are established. The model parameters are estimated using various …

The Theory Of Evolution, Alois Nicholas Wurst

Bachelors’ Theses

What is perhaps one of the most fascinating questions in the scientific and philosophical world today is the theory on the Decent of Man. We hear much concerning Evolution. New theories on the subject appear almost daily. Most of these seem to be hoaxes on the part of publicity hungry scientists. If a man would have his name in newspapers the world over, he must only say that he produced a living organism out of inanimate matter. Of course such a statement produces a sensation. But this sensation is short lived. Investigation usually exposes prevarication on the part of the …

Bayesian Merged Utilization Of Grappa And Sense (Bmugs) For In-Plane Accelerated Reconstruction Increases Fmri Detection Power, Chase J. Sakitis, Daniel B. Rowe

Mathematical and Statistical Science Faculty Research and Publications

In fMRI, capturing brain activity during a task is dependent on how quickly the k-space arrays for each volume image are obtained. Acquiring the full k-space arrays can take a considerable amount of time. Under-sampling k-space reduces the acquisition time, but results in aliased, or “folded,” images after applying the inverse Fourier transform (IFT). GeneRalized Autocalibrating Partial Parallel Acquisition (GRAPPA) and SENSitivity Encoding (SENSE) are parallel imaging techniques that yield reconstructed images from subsampled arrays of k-space. With GRAPPA operating in the spatial frequency domain and SENSE in image space, these techniques have been separate but can …

From Misinformation To Policy Solutions: Teaching Herd Immunity And Vaccine Hesitancy Through Real-World Case Studies Of Measles Outbreaks, Laurieann Klockow

Biomedical Sciences Faculty Research and Publications

Vaccine hesitancy threatens herd immunity, contributing to the resurgence of measles outbreaks. This lesson engages upper-level biomedical science students in analyzing the complex interplay between vaccination rates, herd immunity and vaccine exemption policies through examination of the 2019 New York measles outbreak that threatened the United States’ measles elimination status. Students critically evaluate anti-vaccine misinformation, analyze epidemiological data and develop evidence-based policy recommendations to increase vaccination rates. The lesson combines team-based learning with authentic assessment through vaccine policy development, moving beyond knowledge acquisition and content to building scientific literacy and evidence-based reasoning skills essential for scientifically literate citizens and future …

Increased Visual Response Delay Impact On Sensorimotor Control In Persons With Multiple Sclerosis, Julie C. Wagner, Frankie M. Ingram, Vincenzo Daniele Boccia, Matilde Inglese, Maura Casadio, Camilla Pierella, Andrea Canessa, Robert A. Scheidt, Scott A. Beardsley

Biomedical Engineering Faculty Research and Publications

Multiple Sclerosis negatively affects hand function in 60% of cases. Upper extremity dysfunction in persons with Multiple Sclerosis (PwMS) has previously been linked to slower, more variable movement, increased visual response delays (T_v), and neuroimaging evidence of altered brain activity; yet no one knows how these aspects relate to each other. This work combines clinical, kinematic, sensorimotor control, and neural imaging techniques to gain a more complete understanding of how upper extremity dysfunction arises in PwMS. Twenty PwMS and 20 Controls completed a reach and hold task with simultaneous electroencephalography recorded to determine if increased T_v in …

Scoping Review Of Machine Learning Techniques In Marker-Based Clinical Gait Analysis, Kevin N. Dibbern, Maddalena G. Krzak, Alejandro Olivas, Mark V. Albert, Joseph J. Krzak, Karen M. Kruger

Biomedical Engineering Faculty Research and Publications

The recent proliferation of novel machine learning techniques in quantitative marker-based 3D gait analysis (3DGA) has shown promise for improving interpretations of clinical gait analysis. The objective of this study was to characterize the state of the literature on using machine learning in the analysis of marker-based 3D gait analysis to provide clinical insights that may be used to improve clinical analysis and care. Methods: A scoping review of the literature was conducted using the PubMed and Web of Science databases. Search terms from eight relevant articles were identified by the authors and added to by experts in clinical gait …

Elephant Megacarcasses Increase Local Nutrient Pools In African Savanna Soils And Plants, Courtney G. Reed, Michelle L. Budny, Johan T. Du Toit, Ryan Helcoski, Joshua P. Schimel, Izak P.J. Smit, Tercia Strydom, Aimee Tallian, Dave I. Thompson, Helga Van Coller, Nathan P. Lemoine, Deron E. Burkepile

Biological Sciences Faculty Research and Publications

African elephants (Loxodonta africana) are the largest extant terrestrial mammals, with bodies containing enormous quantities of nutrients. Yet, we know little about how these nutrients move through the ecosystem after an elephant dies. Here, we investigated the initial effects (1–26 months postmortem) of elephant megacarcasses on savanna soil and plant nutrient pools in the Kruger National Park, South Africa. We hypothesized that (H1) elephant megacarcass decomposition would release nutrients into soil, resulting in higher concentrations of soil nitrogen (N), phosphorus (P), and micronutrients near the center of carcass sites; (H2) carbon (C) inputs into the soil would stimulate …

Data‐Driven Approach To Dynamic Resting State Functional Connectivity In Post‐Traumatic Stress Disorder: An Enigma‐Pgc Ptsd Study, Jacklynn M. Fitzgerald

Psychology Faculty Research and Publications

Using functional magnetic resonance imaging (fMRI), symptoms of posttraumatic stress disorder (PTSD) have been associated with aberrations in brain networks in the absence of a given cognitive demand or task, called resting-state networks. Prior work has focused on disruption in the static functional connectivity (FC) among specific regions constrained by a priori hypotheses. However, dynamic FC, an approach that examines brain network characteristics over time, may provide a more sensitive measure to understand the network properties underlying dysfunction in PTSD. Further, using a data-driven analytic approach may reveal the contribution of other larger network disturbances beyond those revealed by hypothesis-driven …

Editorial: To Know Or Not To Know: Causes And Evolution Of Lack Of Awareness Of Cognitive Decline In Neurodegenerative Diseases, Volume Ii, Federica Cacciamani, Kristy A. Nielson, Bernard J. Hanseeuw, Geoffroy P. Gagliardi, Patrizia Vannini

Psychology Faculty Research and Publications

Anosognosia, or the lack of awareness of cognitive, behavioral, or functional deficits, represents a critical challenge in the clinical management of neurodegenerative diseases such as Alzheimer's disease (AD) and frontotemporal dementia. This condition not only impacts patients, caregivers, and healthcare systems (D'Souza et al., 2011; Turró-Garriga et al., 2013) but also raises important questions about its underlying mechanisms and evolution (Hanseeuw et al., 2020; Starkstein, 2014; Vannini et al., 2017). Despite its critical importance, significant gaps remain in our understanding of cognitive self-awareness in neurodegenerative diseases. Building on the momentum of the first edition of To Know or Not to …

Loss Of Endogenous Circadian Clock Function In Mice Alters Respiratory Cycle Timing In A Time Of Day- And Sex-Specific Manner, Aaron A. Jones, Deanna M. Arble

Biological Sciences Faculty Research and Publications

Resting breathing and ventilatory chemoreflexes are regulated in a 24-hr manner by the endogenous circadian clock. However, it is unclear how circadian biology influences different phases of the breath-to-breath respiratory cycle which are predominantly controlled by pontomedullary regions of the brainstem. Here, we performed whole-body plethysmography during quiet wakefulness in young adult male and female mice lacking the core clock gene Brain and Muscle Arnt-like 1 (BMAL1) to determine the extent to which the molecular clock affects respiratory cycle timing and ventilatory airflow mechanics. Breath waveform analysis revealed that male BMAL1 knockout (KO) mice exhibit time of day-specific differences in …

Long-Term Increases In Wing Length Occur Independently Of Changes In Climate And Climate-Driven Shifts In Body Size, Tiffany Dias, Nathan P. Lemoine, Scott W. Yanco, Marketa Zimova, Rachael A. Bay, Brian C. Weeks

Biological Sciences Faculty Research and Publications

Recent widespread reductions in body size across species have been linked to increasing temperatures; simultaneous increases in wing length relative to body size have been broadly observed but remain unexplained. Size and shape may change independently of one another, or these morphological shifts may be linked, with body size mediating or directly driving the degree to which shape changes. Using hierarchical Bayesian models and a morphological time series of 27 366 specimens from five North American migratory passerine bird species, we tested the roles that climate and body size have played in shifting wing length allometry over four decades. We …

Global Decoupling Of Functional And Phylogenetic Diversity In Plant Communities, Stefan A. Schnitzer

Biological Sciences Faculty Research and Publications

Plant communities are composed of species that differ both in functional traits and evolutionary histories. As species’ functional traits partly result from their individual evolutionary history, we expect the functional diversity of communities to increase with increasing phylogenetic diversity. This expectation has only been tested at local scales and generally for specific growth forms or specific habitat types, for example, grasslands. Here we compare standardized effect sizes for functional and phylogenetic diversity among 1,781,836 vegetation plots using the global sPlot database. In contrast to expectations, we find functional diversity and phylogenetic diversity to be only weakly and negatively correlated, implying …

Cumulative Effects Of H+ And PI On Force And Power Of Skeletal Muscle Fibres From Young And Older Adults, Christopher W. Sundberg, Laura E. Teigen, Sandra K. Hunter, Robert H. Fitts

Biological Sciences Faculty Research and Publications

The cellular causes of the age-related loss in power output and increased fatigability are unresolved. We previously observed that the depressive effects of hydrogen (H+) (pH 6.2) and inorganic phosphate (Pi) (30 mm) did not differ in muscle fibres from young and older men. However, the effects may have been saturated in the severe fatigue-mimicking condition, potentially masking age differences in the sensitivity of the cross-bridge to these metabolites. Thus, we compared the contractile mechanics of muscle fibres from the vastus lateralis of 13 young (20–32 years, seven women) and 12 older adults (70–90 years, six women) in conditions mimicking …

Separating The Impacts Of A Corrosion Inhibitor From Copper Corrosion Products On Antibiotic Resistance In Drinking Water, Veronika Folvarska, Maya Adelgren, Emily Lou Lamartina, Ryan J. Newton, Yin Wang, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Antibiotic resistance is a growing threat to public health, and environmental factors, including metals in drinking water distribution systems, are increasingly recognized as contributors to the spread of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs). Zinc orthophosphate, a common corrosion inhibitor, and copper corrosion products (CuO and Cu₂O) are frequently present in drinking water systems. While each has been shown to increase ARB and ARGs individually, their combined effects remain unknown. The objective of this study was to evaluate the combined impact of copper corrosion products and the corrosion inhibitor zinc orthophosphate on antibiotic resistance. Two …

Scope And Mechanism Of The Ruthenium-Catalyzed Sp3 C–H Coupling Reaction Of 2-Alkylindoles With Enones For The Synthesis Of Carbazole Derivatives, Krishna Prasad Gnyawali, Mina Son, Donghun Hwang, Nuwan Asanka Pannilawithana, Mu-Hyun Baik, Chase S. Yi

Chemistry Faculty Research and Publications

The catalytic system consisting of a cationic Ru–H complex 1 and 3,4,5,6-tetrachloro-1,2-benzoquinone (L1) was found to be highly effective for the dehydrative sp³ C–H coupling reaction of 2-alkyl substituted indoles with enones to form 2,4-disubstituted carbazole products. The analogous coupling reaction of 2-alkylindoles with linear enones bearing the cyclic olefinic group afforded tetracyclic carbazole products. A normal deuterium kinetic isotope effect was measured from the coupling reaction of 1,2-dimethylindole versus 1-methyl-2-(methyl-d₃)indole with (E)-3-penten-2-one (k_H/k_D = 2.5). The Hammett plot was constructed from the reaction of para-substituted …

Rebuttal: Reduced Oxidative Capacity Of Skeletal Muscle Is Not An Inevitable Consequence Of Adult Ageing, Ian R. Lanza, Christopher W. Sundberg, Jane A. Kent

Physical Therapy Faculty Research and Publications

We thank Drs Marcinek and Ferrucci for their perspective on the inevitability of age-related declines in skeletal muscle oxidative capacity (Marcinek & Ferrucci, 2025). We agree that mitochondria have numerous roles in the cell beyond provision of chemical energy, many of which may be altered by ageing, but our focus in this debate is entirely on its role in energy production.

Bringing Self-Determination Theory To The Forefront: Examining How Human Resource Practices Motivate Employees Of All Ages To Succeed, Rick A. Laguerre, Janet L. Barnes-Farrell

Management Faculty Research and Publications

Self-determination theory (SDT) is widely used in human resource (HR) practice studies to explain how HR practices impact work outcomes. However, there is little empirical evidence establishing the complete SDT mediational process in the HR domain, which entails basic psychological needs and motivation acting as mediators of relations between HR practices and work outcomes. The present study addresses this issue with a mixed methods approach. Using an item classification task with subject matter experts (N = 48), HR practices were classified as autonomy-, competence-, and relatedness-supportive. Based on this scheme, we tested an SDT-based conceptual model in a three-wave …

A Critical Examination Of First-Generation Faculty Scholarship: Demonstrating The Need For Intersectional, Empirical Analysis, Derria Byrd, Noreen Siddiqui

College of Education Faculty Research and Publications

The triumphs, tribulations, and trials associated with first-generation status during the undergraduate years are well-established in educational research; however, limited scholarship systematically investigates the dispositions, experiences, and practices of first-generation faculty (FGF)—that is, former first-generation college students who have joined the professoriate. In this critical review of literature, the authors identified and analyzed 173 sources, uncovering five dominant themes—(a) negotiating a discordant culture, (b) reframing success, (c) relating to family, (d) seeking social networks, and (e) leveraging identity—that provide insights into how FGF navigate the social, cultural, and professional norms of the academy. Despite recent expansions that center FGF of …

Using Expert Knowledge And Peer Review To Create A Reproducible Process For The Nahrs Nursing Essential Resources List (Nnerl), Rebecca Raszewski, Lorraine Porcello, Alissa V. Fial, Carolyn C. Dennison, Rachel Keiko Stark, Karen S. Alcorn, Sarah Wade

Library Faculty Research and Publications

Background: Librarians have relied on resource lists for developing nursing collections, but these lists are usually in static or subscription-based formats. An example of this is the 26th edition of the Essential Nursing Resources last published in 2012. The Nursing and Allied Health Resources and Services (NAHRS) Caucus Nursing Essential Resources List (NNERL) Task Force has been working on a new list since Fall 2020. The goal of the Task Force is to create a nursing resource list that represents current materials and formats, uses a selection process that is transparent and reproducible, and will be available to a broad …

Smartphone Based Non Invasive Real Time White Blood Cell Counter Leveraging Blue Light And Static Magnetic Field, Nafi Us Sabbir Sabith, Masud Rabbani, Kazi Shafiul Alam, Sheikh Iqbal Ahamed

Computer Science Faculty Research and Publications

White blood cells (WBCs), also known as leukocytes, are one of the most significant parts of the immune system. They generate antibodies, protect the body from illnesses, and heal wounds. Accurate estimation of WBCs is key for diagnosing cancer, infections, leukemia, lymphoma, and other diseases. However, the widely used Complete Blood Count (CBC) test presents challenges, including prick anxiety, discomfort, and logistical inconvenience to patients. This study introduces a ubiquous White Blood Cell counting system, UbiWhite, a novel smartphone-based, non-invasive system for real-time WBC counting from fingertip videos. Our system uses optical and magnetic techniques to provide accurate WBC counts …

Causal Discovery On The Effect Of Antipsychotic Drugs On Delirium Patients In The Icu Using Large Observational Ehr Dataset, Riddhiman Adib, Md. Osman Gani, Sheikh Iqbal Ahamed, Mohammad Adibuzzaman

Computer Science Faculty Research and Publications

Delirium occurs in about 80% of cases in the Intensive Care Unit (ICU) and is associated with an extended hospital stay, increased mortality, and other complications. Delirium lacks biomarker-based diagnosis and is frequently treated with antipsychotic drugs (APD), despite numerous studies debating its efficacy. Since randomized controlled trials (RCT) are expensive and time-consuming, we approach the research question of estimating the efficacy and safety outcomes of APD in treating delirium through retrospective cohort analysis. We employed the Causal inference framework to explore the underlying causal model for Delirium patient cohort. We focus on building a structural causal model for delirium …

A Survey On Non-Invasive Computing: Neurological-Hematological Framework For Early Infection And Stroke Detection With Future Directions, Masud Rabbani, Nafi Us Sabbir Sabith, Sheikh Iqbal Ahamed

Computer Science Faculty Research and Publications

This paper introduces a novel, non-invasive tool for building a holistic neurological-hematological diagnostic framework that can be used for early detection of infection and stroke. We proposed and developed a multimodal sensing approach, where an ear canal–based acoustic system can be used to identify brain activities and a smartphone-based facial video analysis platform to estimate white blood cell (WBC) and hemoglobin (Hb) levels. Our ear-based EEG methodology achieved a remarkable 96% classification accuracy from the low-frequency level (>30hz), with regression models with mean R2 scores above 0.96 across all EEG bands. For hematological diagnostics, the system predicted WBC counts …

Digital Health Using Data Science, Padmapriya Velupillai Mekandan, Paramita Basak Upama, Masud Rabbani, Amity Ali, Sheikh Iqbal Ahamed

Computer Science Faculty Research and Publications

The digitization of healthcare has led to an unprecedented growth in health-related data, offering new opportunities to transform clinical decision-making, disease prediction, and patient engagement. However, extracting actionable insights from diverse data sources such as electronic health records, wearable devices, and mobile health apps requires a fusion of domain knowledge in healthcare and technical expertise in data science. This paper presents a structured, interdisciplinary framework for digital health that emphasizes practical strategies for data acquisition, preprocessing, feature engineering, machine learning, and ethical data use. The model promotes a holistic understanding of digital health challenges and opportunities, preparing future professionals to …

A Bayesian Complex-Valued Latent Variable Model Applied To Functional Magnetic Resonance Imaging, Chase J. Sakitis, D. Andrew Brown, Daniel B. Rowe

Mathematical and Statistical Science Faculty Research and Publications

In linear regression, the coefficients are simple to estimate using the least squares method with a known design matrix for the observed measurements. However, real-world applications may encounter complications such as an unknown design matrix and complex-valued parameters. The design matrix can be estimated from prior information but can potentially cause an inverse problem when multiplying by the transpose as it is generally ill-conditioned. This can be combat by adding regularizers to the model but does not always mitigate the issues. Here, we propose our Bayesian approach to a complex-valued latent variable linear model with an application to functional magnetic …