Digital Commons Network^™

A Model Of Time-Dependent Macromolecular And Elemental Composition Of Phytoplankton, Anne Willem Omta

Faculty Scholarship

Phytoplankton Chl:C:N:P ratios are important from both an ecological and a biogeochemical perspective. We show that these elemental ratios can be represented by a phytoplankton physiological model of low complexity that includes major cellular macromolecular pools. In particular, our model resolves time-dependent intracellular pools of chlorophyll, proteins, nucleic acids, carbohydrates/lipids, and N and P storage. Batch culture data for two diatom and two prasinophyte species are used to constrain parameters that represent specific allocation traits and strategies. A key novelty is the simultaneous estimation of physiological parameters for two phytoplankton groups of such different sizes. The number of free parameters …

Postnatal Corticosteroid Therapy In Bronchopulmonary Dysplasia - Why Animal Studies Disagree With Clinical Trials?, Anantha Harijith, Thomas M. Raffay, Rita M. Ryan

Faculty Scholarship

Abstract: The systematic review and meta-analysis of newborn animal models by Irene Lok et al. is the first to extensively summarize the literature regarding postnatal systemic corticosteroid use on lung development of newborn rodent models. The meta-analysis showed that the use of postnatal corticosteroids resulted in a reduction in body weight along with persistent alveolar simplification. The most frequently used corticosteroid was dexamethasone. Corticosteroids have been extensively used in clinical trials in preterm newborns. Trials using early systemic administration of corticosteroids reduced the rate of BPD or mortality with no increase in the rates of cerebral palsy. Use of late …

A Second Look: Local Labor Markets And The Impact Of Ban The Box Policies After Criminal Legal Involvement, Benjamin David Pyle

Faculty Scholarship

This paper estimates the impact of labor demand on the employment and recidivism outcomes of released prisoners. Higher labor demand at release generates higher earnings and lower recidivism. Reduced recidivism persists after controlling for the observed labor market outcomes of the returning cohort, suggesting that labor demand impacts crime through channels beyond the direct formal employment of returning prisoners. Difference-in-differences based evidence suggests Ban the Box (BTB) policies delaying when employers can ask about criminal records improve labor market outcomes and lower recidivism for misdemeanor defendants. Evidence for felony defendants and returning prisoners is mixed but suggestive of similar patterns.

Internalizations Of Decorated Bicategories Via Π₂-Indexings, Juan Orendain

Faculty Scholarship

We treat the problem of lifting bicategories into double categories through categories of vertical morphisms. We consider structures on decorated 2-categories allowing us to formally implement arguments of sliding certain squares along vertical subdivisions in double categories. We call these structures π₂ indexings. We present a construction associating, to every π₂ indexing on a decorated 2-category, a length 1 double internalization.

The Effect Of Early Postnatal Auditory Stimulation On Outcomes In Preterm Infants, Juliann M. Di Fiore, Gloria Liu, Kenneth A. Loparo, Cynthia F. Bearer

Faculty Scholarship

Abstract: Preterm infants are deprived of in utero sensory stimulation during the third trimester, an important period of central nervous system development. As a result, maturational trajectories are often reduced in infants born preterm. One such system affected is the brain including the auditory and respiratory control pathways. During normal pregnancy the intrauterine environment attenuates external auditory stimuli while exposing the fetus to filtered maternal voice, intra-abdominal sounds, and external stimuli. In contrast, during the third trimester of development, preterm infants are exposed to a vastly different soundscape including non-attenuated auditory sounds and a lack of womb related stimuli, both …

Aso Author Reflections: Isolated Margin Positivity In Localized Pancreatic Ductal Adenocarcinoma And Operative Margin Revision, Lee M. Ocuin

Faculty Scholarship

No abstract provided.

Indefinitely Flat Circular Velocities And The Baryonic Tully-Fisher Relation From Weak Lensing, Tobias Mistele, Stacy Mcgaugh

Faculty Scholarship

We use a new deprojection formula to infer the gravitational potential around isolated galaxies from weak gravitational lensing. The results imply circular velocity curves that remain flat for hundreds of kiloparsecs, greatly extending the classic result from 21 cm observations. Indeed, there is no clear hint of a decline out to 1 Mpc, well beyond the expected virial radii of dark matter halos. Binning the data by mass reveals a correlation with the flat circular speed that closely agrees with the baryonic Tully-Fisher relation known from kinematic data. These results apply to both early- and late-type galaxies, indicating a common …

The Baryonic Tully-Fisher Relation. I. Wise/Spitzer Photometry, Francis Duey, Stacy Mcgaugh

Faculty Scholarship

We present Wide-field Infrared Survey Explorer (WISE) W1 photometry of the Spitzer Photometry and Accurate Rotation Curves sample. The baseline of near-IR fluxes is established for use by stellar mass models, a key component to the baryonic Tully-Fisher relation and other kinematic galaxies scaling relations. We focus this paper on determination of the characteristics of the W1 fluxes compared to IRAC 3.6 μm fluxes, internal accuracy limitations from photometric techniques, external accuracy by comparison to other work in the literature and the range of W1 to IRAC 3.6 μm colors. We outline the behavior of SDSS g, W1 and IRAC …

To Revise Or Not Revise? Isolated Margin Positivity In Localized Pancreatic Ductal Adenocarcinoma, Victoria S. Wu, Henry J. Stitzel, John B. Ammori, Jeffrey Hardacre, Lee M. Ocuin

Faculty Scholarship

Background: The study determined the proportion of patients with pancreatic adenocarcinoma (PDAC) who had margin-positive disease and no other adverse pathologic findings (APF) using institutional and administrative datasets. Methods: Patients with clinical stage I or II PDAC in the National Cancer Database (NCDB 2010–2020) and those who underwent pancreatectomy at the authors’ institution (2010–2021) were identified. Isolated margin positivity (IMP) was defined as a positive surgical margin with no APF (negative nodes, no lymphovascular/perineural invasion). Results: The study included 225 patients from the authors’ institution and 23,598 patients from the NCDB. The margin-positive rates were 21.8% and 20.3%, and the …

Extreme Value Statistics Analysis Of Process Defects In Additive Manufacturing Materials, Ayorinde E. Olatunde, Kristen Hernandez, Austin Ngo, Arafath Nihar, Thomas G. Ciardi, Rachel Yamamoto, Pawan K. Tripathi, Roger H. French, John J. Lewandowski, Anirban Mondal

Faculty Scholarship

Fatigue and fracture studies focused on process defects that occur in Additive Manufacturing (AM) materials have shown that defect populations possess features which are better measured with extreme value statistics (EVS). In AM alloys, defect occurrences increase with material volume. This situation facilitates the need to model process defects in the path of fatigue crack growth with suitable statistical tools, such as EVS, which is more cost-effective when compared to destructive experiments. The application of EVS on defect space features helps determine the difference in defects present on fracture surfaces. As the fatigue quality of any material depends on its …

Business Innovation As A Force For Good: From Doing Less Harm To Positive Impact Type 1 And Type 2, Chris Laszlo, David Cooperrider, Ronald Fry

Faculty Scholarship

Commitments of “getting to zero” or becoming a regenerative company are raising investor, customer, and employee expectations at a time when businesses are struggling just to reduce negative impacts. Executives are increasingly caught between wanting to build a better world and the reality of managing value-add activities that continue to harm people and the environment. Businesses need to distinguish between three types of innovation impacts to maintain their credibility and legitimacy. The first is doing less harm, where the goal is to minimize social wrongs and reduce ecological footprints. The second is incremental positive impact, where the goal is to …

Implementing An Eu Pull Incentive For Antimicrobial Innovation And Access: Blueprint For Action, Michael Anderson, Adrian Towse, Kevin Outterson, Elias Mossialos

Faculty Scholarship

In June, 2023, the Council of the EU published a recommendation that the European Commission should contribute to the design and governance of an EU cross-country pull incentive to stimulate antimicrobial innovation and access. In this Personal View, we discuss six key considerations to support the implementation of the new pull incentive—ie, the size of the potential pull incentive and possible contributions of the member states, design of the incentive model, interplay of the new pull incentive with the proposed revisions of the EU pharmaceutical legislation, roles and responsibilities of both the EU and member states, balance between pull and …

Geometric Representation Of Classes Of Concave Functions And Duality, Elisabeth M. Werner

Faculty Scholarship

Using a natural representation of a 1/s-concave function on R ᵈ as a convex set in R ᵈ⁺¹, we derive a simple formula for the integral of its s-polar. This leads to convexity properties of the integral of the s-polar function with respect to the center of polarity. In particular, we prove that the reciprocal of the integral of the polar function of a log-concave function is log-concave as a function of the center of polarity. Also, we define the Santaló regions for s-concave and log-concave functions and generalize the Santaló inequality for them in the case the origin is …

Appropriateness Of Care: Deep Venous Procedures, Karem C. Harth

Faculty Scholarship

In the past decade, technologies to treat venous pathologies have increased dramatically, to the benefit of an often underserved and overlooked population of patients with venous disease. However, given the rapid release of various technologies, including venous-dedicated stents and thrombectomy devices across varied venous pathologies, evidence-based guidelines have been slow to develop. When discussing appropriateness of care, one needs to consider optimal patient selection, technical approach, medical management, and surveillance protocols, to name a few. All of which, in the venous space, are currently widely varied in practice. The future of deep venous work is limitless, but multicenter, randomized controlled …

Differences In Perceived Energy And Macronutrient Requirements Across Divisions In Ncaa Athletes, K. Michelle Singleton, Andrew Jagim, Jamie Mcallister-Deitrick, Marcos Daou, Chad M. Kerksick

Faculty Scholarship

Background

Sports nutrition is an impactful component to sports performance. The purpose of the current study was to investigate the sports nutrition knowledge of National Collegiate Athletic Association collegiate athletes and assess self-reported perceived requirements for energy and macronutrient intake. A secondary aim was to evaluate the awareness of physical and emotional perceptions associated with mindful eating.

Methods

Participants included NCAA Division I (DI, n = 45), II (DII, n = 31), and III (DIII, n = 47) athletes. Athletes completed a validated questionnaire designed to assess sports nutrition knowledge and were asked questions about their perceived dietary energy and …

Supernatural Attributions For Extraordinary Events: Examining Cognitive And Contextual Predictors, Joshua A. Wilt, Julie J. Exline, Nick Stauner

Faculty Scholarship

Why do people make supernatural attributions (SA) for events? This article focused on five possible predictors: stressfulness, unusual events, religiousness, seeing a supernatural explanation as meaningful, and seeing supernatural entities as powerful. We also predicted that people would be more likely to adopt supernatural explanations seen as highly accessible, motivating, and plausible. We focused primarily on SA in general and secondarily on specific entities. We tested preregistered hypotheses using survey data in two samples of undergraduates: one reporting life-changing events (N = 594) and another reporting on an event with a supernatural air, or supernaturally perceived events (N = 475). …

The Mrnacalc Webserver Accounts For The N1-Methylpseudouridine Hypochromicity To Enable Precise Nucleoside-Modified Mrna Quantification, Sarah E. Krul, Sean J. Hoehn, Carlos E. Crespo-Hernández

Faculty Scholarship

Nucleoside-modified messenger RNA (mRNA) technologies necessarily incorporate N1-methylpseudouridine into the mRNA molecules to prevent the over-stimulation of cytoplasmic RNA sensors. Despite this modification, mRNA concentrations remain mostly determined through the measurement of UV absorbance at 260 nm wavelength (A260). Herein, we report that the N1-methylpseudouridine absorbs approximately 40% less UV light at 260 nm than uridine, and its incorporation into mRNAs leads to the under-estimation of nucleoside-modified mRNA concentrations, with 5%–15% error, in an mRNA-sequence-dependent manner. We therefore examined the RNA quantification methods and developed the mRNACalc webserver. It accounts for the molar absorption coefficient of modified nucleotides at 260 …

Uhd: Unary Processing For Lightweight And Dynamic Hyperdimensional Computing, Mehran Shoushtari Moghadam, M. Hassan Najafi

Faculty Scholarship

Hyperdimensional computing (HDC) is a novel computational paradigm that operates on long-dimensional vectors known as hypervectors. The hypervectors are constructed as long bit-streams and form the basic building blocks of HDC systems. In HDC, hypervectors are generated from scalar values without considering bit significance. HDC is efficient and robust for various data processing applications, especially computer vision tasks. To construct HDC models for vision applications, the current state-of-the-art practice utilizes two parameters for data encoding: pixel intensity and pixel position. However, the intensity and position information embedded in high-dimensional vectors are generally not generated dynamically in the HDC models. Consequently, …

Mri Measurement Of Cerebral Perfusion In Severe Congenital Heart Disease: Just The First Step, Kevin B. Kilgallon, Ira M. Cheifetz

Faculty Scholarship

Two questions on the mind of many parents of children with complex congenital heart disease (CHD) are: Will my child survive? And, how will their life be affected? As diagnostic procedures, along with medical and surgical treatments, for these infants have improved over the recent decades, more and more of these children are surviving into adolescence and adulthood. Despite these advances in care, children with complex CHD are at higher risk of neurodevelopmental disability (NDD) and decreased quality of life (QOL) compared to their peers without CHD.1,2

Shea Position Statement On Pandemic Preparedness For Policymakers: Building A Strong And Resilient Healthcare Workforce, Robin L.P. Jump

Faculty Scholarship

Throughout the COVID-19 pandemic, many areas in the United States experienced healthcare personnel (HCP) shortages tied to a variety of factors. Infection prevention programs, in particular, faced increasing workload demands with little opportunity to delegate tasks to others without specific infectious diseases or infection control expertise. Shortages of clinicians providing inpatient care to critically ill patients during the early phase of the pandemic were multifactorial, largely attributed to increasing demands on hospitals to provide care to patients hospitalized with COVID-19 and furloughs.¹ HCP shortages and challenges during later surges, including the Omicron variant-associated surges, were largely attributed to HCP …

Shea Position Statement On Pandemic Preparedness For Policymakers: Introduction And Overview, Robin L.P. Jump

Faculty Scholarship

Throughout history, pandemics and their aftereffects have spurred society to make substantial improvements in healthcare. After the Black Death in 14th century Europe, changes were made to elevate standards of care and nutrition that resulted in improved life expectancy.1 The 1918 influenza pandemic spurred a movement that emphasized public health surveillance and detection of future outbreaks and eventually led to the creation of the World Health Organization Global Influenza Surveillance Network.2 In the present, the COVID-19 pandemic exposed many of the pre-existing problems within the US healthcare system, which included (1) a lack of capacity to manage a large influx …

Image-Based Fracture Surface Defect Characterization Methods For Additively Manufactured Ti-6al-4v Tested In Fatigue, Austin Ngo, Kristen Hernandez, Ayorinde E. Olatunde, Thomas G. Ciardi, Alex Harding, Arafath Nihar, Anirban Mondal, Roger H. French, Laura S. Bruckman, John J. Lewandowski

Faculty Scholarship

Fatigue initiation in additively manufactured samples/parts often occurs at processed-induced defects such as lack-of-fusion (LoF), keyhole, or other morphological/microstructural defects that have unique characteristics and measurable qualities. Attempts at identifying and minimizing such defects have utilized optimized processing conditions along with in situ and ex situ characterization that includes metallography and/or X-ray computed tomography (XCT). This paper highlights the benefits of using fracture surface analyses to detect and quantify defects that may not be detected by metallography/XCT due to sectioning and resolution limits. In addition to using manual quantification of fatigue initiating LoF and keyhole defects on fracture surfaces, image-based …

Excess Prevalence Of Preexisting Chronic Conditions In Older Adults With Incident Epilepsy, Siran M. Koroukian, Hannah L. Fein, Long Vu, Wyatt P. Bensken, Nicholas K. Schiltz, Martha Sajatovic

Faculty Scholarship

Objective: Prior studies have examined chronic conditions in older adults with prevalent epilepsy, but rarely among those with incident epilepsy. Identifying the chronic conditions with which older adults present at epilepsy incidence assists with the evaluation of disease burden in this patient population and informs coordinated care development. The aim of this study was to identify preexisting chronic conditions with excess prevalence in older adults with incident epilepsy compared to those without. Methods: Using a random sample of 4 999 999 fee-for-service Medicare beneficiaries aged >65 years, we conducted a retrospective cohort study of epilepsy incidence in 2019. Non-Hispanic Black …

Excess Prevalence Of Preexisting Chronic Conditions In Older Adults With Incident Epilepsy, Siran M. Koroukian, Hannah L. Fein, Long Vu, Wyatt P. Bensken, Nicholas K. Schiltz, Martha Sajatovic

Faculty Scholarship

Objective: Prior studies have examined chronic conditions in older adults with prevalent epilepsy, but rarely among those with incident epilepsy. Identifying the chronic conditions with which older adults present at epilepsy incidence assists with the evaluation of disease burden in this patient population and informs coordinated care development. The aim of this study was to identify preexisting chronic conditions with excess prevalence in older adults with incident epilepsy compared to those without. Methods: Using a random sample of 4 999 999 fee-for-service Medicare beneficiaries aged >65 years, we conducted a retrospective cohort study of epilepsy incidence in 2019. Non-Hispanic Black …

The Effects Of A Brand-Specific, Hemp-Derived Cannabidiol Product On Physiological, Biochemical, And Psychometric Outcomes In Healthy Adults: A Double-Blind, Randomized Clinical Trial, Gianna F. Mastrofini, Bridget A. Mcfadden, Alexa J. Chandler, Blaine S. Lints, Harry P. Cintineo, Nathaniel D. Rhoades, Caroline S. Vincenty, Sten O. Stray-Gundersen, Abbi D. Lane, Shawn M. Arent

Faculty Scholarship

Background

Cannabidiol (CBD) is a non-psychoactive phyto-cannabinoid derived from the Cannabis sativa plant. CBD exhibits various interactions at receptor sites, prompting the research of its potential anti-inflammatory, immunomodulatory, psychological, and pain-relieving effects. This study aimed to investigate the physiological, biochemical, and psychometric effects of a brand-specific, hemp-derived CBD product in healthy adults over a 12-week observation period.

Methods

54 healthy males and females (age = 25 ± 7y; BMI = 24.82 ± 3.25 kg/m2) recruited from a large Southeastern University completed the study. Participants arrived at the laboratory after > 8 h of fasting, and > 48 h without alcohol consumption and …

Perceptions And Aspirations Of Undergraduate Computer Science Students Towards Generative Ai: A Qualitative Inquiry, James Hutson, Theresa Jeevanjee

Faculty Scholarship

This article presents a comprehensive study conducted during the spring semester of 2024, aimed at exploring undergraduate computer science students’ perceptions, awareness, and understanding of generative artificial intelligence (GAI) tools within the context of their Artificial Intelligence (AI) courses. The research methodology employed qualitative techniques, including human-subject research and focus groups, to delve into students’ insights on the evolution of AI as delineated in the seminal textbook by Russell and Norvig. The study-initiated discussions on the historical development of AI, prompting students to reflect on the aspects that intrigued them the most, and to identify which historical concepts and methodologies, …

Predictive Power Of Machine Learning Models On Degree Completion Among Adult Learners, Emily Barnes, James Hutson, Karriem Perry

Faculty Scholarship

The integration of machine learning (ML) into higher education has been recognized as a transformative force for adult learners, a growing demographic facing unique educational challenges. This study evaluates the predictive power of three ML models—Random Forest, Gradient-Boosting Machine, and Decision Trees—in forecasting degree completion among this group. Utilizing a dataset from the academic years 2013-14 to 2021-22, which includes demographic and academic performance metrics, the study employs accuracy, precision, recall, and F1 score to assess the efficacy of these models. The results indicate that the Gradient-Boosting Machine model outperforms others in predicting degree completion, suggesting that ML can significantly …

Architectural Elements Contributing To Interpretability Of Deep Neural Networks (Dnns), Emily Barnes, James Hutson

Faculty Scholarship

The interpretability of Deep Neural Networks (DNNs) has become a critical focus in artificial intelligence and machine learning, particularly as DNNs are increasingly used in high-stakes applications like healthcare, finance, and autonomous driving. Interpretability refers to the extent to which humans can understand the reasons behind a model's decisions, which is essential for trust, accountability, and transparency. However, the complexity and depth of DNN architectures often compromise interpretability as these models function as "black boxes." This article reviews key architectural elements of DNNs that affect their interpretability, aiming to guide the design of more transparent and trustworthy models. The primary …

Navigating The Complexities Of Ai: The Critical Role Of Interpretability And Explainability In Ensuring Transparency And Trust, Emily Barnes, James Hutson

Faculty Scholarship

The interpretability and explainability of deep neural networks (DNNs) are paramount in artificial intelligence (AI), especially when applied to high-stakes fields such as healthcare, finance, and autonomous driving. The need for this study arises from the growing integration of AI into critical areas where transparency, trust, and ethical decision-making are essential. This paper explores the impact of architectural design choices on DNN interpretability, focusing on how different architectural elements like layer types, network depth, connectivity patterns, and attention mechanisms affect model transparency. Methodologically, the study employs a comprehensive review of case studies and experimental results to analyze the balance between …

Evaluating Methods For Assessing Interpretability Of Deep Neural Networks (Dnns), Emily Barnes, James Hutson

Faculty Scholarship

The interpretability of deep neural networks (DNNs) is a critical focus in artificial intelligence (AI) and machine learning (ML), particularly as these models are increasingly deployed in high-stakes applications such as healthcare, finance, and autonomous systems. In the context of these technologies, interpretability refers to the extent to which a human can understand the cause of a decision made by a model. This article evaluates various methods for assessing the interpretability of DNNs, recognizing the significant challenges posed by their complex and opaque nature. The review encompasses both quantitative metrics and qualitative evaluations, aiming to identify effective strategies that enhance …