Digital Commons Network^™

Distributed Software Build Assurance For Software Supply Chain Integrity, Ken Lew, Arijet Sarker, Simeon Wuthier, Jinoh Kim

Faculty Publications

Computing and networking are increasingly implemented in software. We design and build a software build assurance scheme detecting if there have been injections or modifications in the various steps in the software supply chain, including the source code, compiling, and distribution. Building on the reproducible build and software bill of materials (SBOM), our work is distinguished from previous research in assuring multiple software artifacts across the software supply chain. Reproducible build, in particular, enables our scheme, as our scheme requires the software materials/artifacts to be consistent across machines with the same operating system/specifications. Furthermore, we use blockchain to deliver the …

Measuring The Behavior Of The Acoustic Standing Wave Exiting A Flue Organ Pipe, Lauren Krebs Schefter, Whitney L. Coyle, Eric Rokni, Ashley Cannaday

Faculty Publications

Correctly predicting the playing frequencies of a musical instrument is dependent on the length of the resonator with the addition of an end correction. There are multiple theories describing this end correction, perhaps the simplest being that the end correction of a pipe is a physical extension of the sinusoidal pressure standing wave inside the pipe. However, recent optical imaging of the flow in a flue organ pipe found an unexpected exponential decay of pressure just outside of the pipe. This work looks to validate those findings acoustically. A flue organ pipe was played at the 1st, 5th, and 7th …

Adding The Third Dimension: 3d Convolutional Neural Network Diagnosis Of Temporal Lobe Epilepsy, Erik Kaestner, Reihaneh Hassanzadeh, Ezequiel Gleichgerrcht, Kyle Hasenstab, Rebecca W. Roth, Allen Chang, Theodor Rüber, Kathryn A. Davis, Patricia Dugan, Ruben Kuzniecky, Julius Fridriksson Ph.D., Alexandra Parashos, Anto I. Bagić, Daniel L. Drane, Simon S. Keller, Vince D. Calhoun, Anees Abrol, Leonardo Bonilha, Carrie R. Mcdonald

Faculty Publications

Convolutional neural networks (CNN) show great promise for translating decades of research on structural abnormalities in temporal lobe epilepsy into clinical practice. Three-dimensional CNNs typically outperform two-dimensional CNNs in medical imaging. Here we explore for the first time whether a three-dimensional CNN outperforms a two-dimensional CNN for identifying temporal lobe epilepsy-specific features on MRI. Using 1178 T1-weighted images (589 temporal lobe epilepsy, 589 healthy controls) from 12 surgical centres, we trained 3D and 2D CNNs for temporal lobe epilepsy versus healthy control classification, using feature visualization to identify important regions. The 3D CNN was compared to the 2D model and …

Development Of Prediction Models Of Covid-19 Vaccine Uptake Among Lebanese And Syrians In A District Of Beirut, Lebanon: A Population-Based Study, Marie-Elizabeth Ragi, Hala Ghattas Ph.D., Hazar Shamas, Jocelyn Dejong, Nada M. Melhem, Stephen J. Mccall, The Caep Study Group

Faculty Publications

Introduction Vaccines are essential to prevent infection and reduce the morbidity of infectious diseases. Previous evidence has shown that migrants and refugees are particularly vulnerable to exclusion and discrimination, and low COVID-19 vaccine intention and uptake were observed among refugees globally. This study aimed to develop and internally validate prediction models of COVID-19 vaccine uptake by nationality.

Methods This is a nested prognostic population-based cross-sectional analysis. Data were collected between June and October 2022 in Sin-El-Fil, a district of Beirut, Lebanon. The study population included a random sample of Lebanese adults and all Syrian adults residing in areas of low …

Aspect-Ratio-Dependent Heat Transport By Baroclinic Acoustic Streaming, Jacques Abdul Massih, Remil Mushthaq, Guillaume Michel, Gregory P. Chini

Faculty Publications

Standing acoustic waves have been known to generate Eulerian time-mean ‘streaming’ flows at least since the seminal investigation of Lord Rayleigh in the 1880s. Nevertheless, a recent body of numerical and experimental evidence has shown that inhomogeneities in the ambient density distribution lead to much faster flows than arise in classical Rayleigh streaming. The emergence of these unusually strong flows creates new opportunities to enhance heat transfer in systems in which convective cooling cannot otherwise be easily achieved. To assess this possibility, a theoretical study of acoustic streaming in an ideal gas confined in a rectangular channel with top and …

Closed-Loop Adaptive Optics In The Presence Of Speckle And Weak Scintillation, Derek J. Burrell, Mark F. Spencer, Ronald G. Driggers

Faculty Publications

In this paper, we show that speckle averaging helps to improve adaptive-optics (AO) performance in closed loop as a result of reduced measurement error associated with a Shack–Hartmann wavefront sensor (SHWFS); however, this reduction is rendered ineffective with increasing beacon anisoplanatism. We do so operating in a weak-scintillation regime, where the SHWFS offers robust performance, and using in-plane translation of the illuminated rough surface to accomplish frame-to-frame speckle diversity. Understanding these trade-space limitations is critical when performing AO with non-cooperative, extended-source beacons.

Aspect-Ratio-Dependent Heat Transport By Baroclinic Acoustic Streaming, Jacques Abdul Massih, Remil Mushthaq, Guillaume Michel, Gregory P. Chini

Faculty Publications

Standing acoustic waves have been known to generate Eulerian time-mean ‘streaming’ flows at least since the seminal investigation of Lord Rayleigh in the 1880s. Nevertheless, a recent body of numerical and experimental evidence has shown that inhomogeneities in the ambient density distribution lead to much faster flows than arise in classical Rayleigh streaming. The emergence of these unusually strong flows creates new opportunities to enhance heat transfer in systems in which convective cooling cannot otherwise be easily achieved. To assess this possibility, a theoretical study of acoustic streaming in an ideal gas confined in a rectangular channel with top and …

The Genomes Of All Lungfish Inform On Genome Expansion And Tetrapod Evolution, Manfred Schartl, Joost M. Woltering, Iker Irisarri, Kang Du, Susanne Kneitz, Martin Pippel, Thomas Brown, Paolo Franchini, Jing Li, Ming Li, Mateus Adolfi, Sylke Winkler, Josane De Freitas Sousa, Zhuoxin Chen, Sandra Jacinto, Evgeny Z. Kvon, Luis Rogério Correa De Oliveira, Erika Monteiro, Danielson Baia Amaral, Thorsten Burmester, Domitille Chalopin, Alexander Suh, Eugene Myers, Oleg Simakov, Igor Schneider, Axel Meyer

Faculty Publications

The genomes of living lungfishes can inform on the molecular-developmental basis of the Devonian sarcopterygian fish–tetrapod transition. We de novo sequenced the genomes of the African (Protopterus annectens) and South American lungfishes (Lepidosiren paradoxa). The Lepidosiren genome (about 91 Gb, roughly 30 times the human genome) is the largest animal genome sequenced so far and more than twice the size of the Australian (Neoceratodus forsteri)¹ and African² lungfishes owing to enlarged intergenic regions and introns with high repeat content (about 90%). All lungfish genomes continue to expand as some transposable elements (TEs) are still active today. In particular, …

Examination Of Photoinduced Radicals In Two Crystal Forms Of Triphenylamine Bis-Urea Macrocycles, Md Faizul Islam, Gamage Isuri P. Wijesekera, Anmon J. Sindt, Mark D. Smith, Linda S. Shimizu

Faculty Publications

This study probes two solvates of triphenylamine (TPA) bis-urea macrocycle 1 and their activated structures to evaluate their maximum photoinduced radicals (PIRs), the subsequent decay of the radicals, and their regeneration. The hierarchical assembly of TPAs shows promise in stabilizing less substituted derivatives, potentially expanding the utility of TPAs that lack stabilizing para-substituents. Single crystal structure analysis reveals that host 1 adopts a planar conformation with the two ureas pointing in opposite directions when dimethoxyethane (DME) is encapsulated within the channel. Whereas previously, 1 adopted a bowl-shaped conformation with the two ureas pointing in the same direction (syn …

Examination Of Photoinduced Radicals In Two Crystal Forms Of Triphenylamine Bis-Urea Macrocycles, Md Faizul Islam, Gamage Isuri P. Wijesekera, Ammon J. Sindt, Mark D. Smith, Linda S. Shimizu

Faculty Publications

This study probes two solvates of triphenylamine (TPA) bis-urea macrocycle 1 and their activated structures to evaluate their maximum photoinduced radicals (PIRs), the subsequent decay of the radicals, and their regeneration. The hierarchical assembly of TPAs shows promise in stabilizing less substituted derivatives, potentially expanding the utility of TPAs that lack stabilizing para-substituents. Single crystal structure analysis reveals that host 1 adopts a planar conformation with the two ureas pointing in opposite directions when dimethoxyethane (DME) is encapsulated within the channel. Whereas previously, 1 adopted a bowl-shaped conformation with the two ureas pointing in the same direction (syn …

Law And Literature Studies As A Basis For High-Quality Ethics Cle Programs, David S. Caudill

Faculty Publications

No abstract provided.

The Provenance Of A Pali- And Thai-Language Manuscript At The Rollins College Library: A Buddhist Book Of Merit And Its Long Journey From Southeast Asia To America, Wenxian Zhang

Faculty Publications

Through researching the provenance of a Buddhist manuscript written in the Pali and Thai languages currently held at Rollins, this article seeks to answer the question of how a religious document created in Thailand ended up in a liberal arts college library in America. Regarded as an act of devotion by many Buddhist followers in Southeast Asia, the use of folding manuscripts (samut khoi) has been observed for centuries. The folding manuscripts served as handbooks and chanting manuals for Buddhist monks, who often recited in religious ceremonies while paying tributes to the deceased, with the hope of reincarnation in a …

The Obvious Violation Exception To Qualified Immunity: An Empirical Study, Bailey D. Barnes

Faculty Publications

Qualified immunity shields government officials from civil suits for discretionary actions, as long as the violated right is not clearly established. A right is deemed established when every reasonable official would understand it based on precedent, placing it beyond debate, such that only the plainly incompetent may be held liable. Consequently, even when an act infringes on one's civil rights, a court may deny relief owing to a lack of factually comparable precedent. However, in 2020, the Supreme Court indicated its distrust for overreliance on precedent in certain contexts. In Taylor v. Riojas, the Court held that prison officials violated …

Deciphering The Genetic Basis Of Salinity Tolerance In A Diverse Panel Of Cultivated And Wild Soybean Accessions By Genome-Wide Association Mapping, Rajat Pruthi, Chanderkant Chaudhary, Sandeep Chapagain, Mostafa Mohamed Elbasuoni Abozaid, Prabhat Rana, Ravi Kiran Reddy Kondi, Roberto Fritsche-Neto, Prasanta K. Subudhi

Faculty Publications

Key message : In a genome-wide association study involving 269 cultivated and wild soybean accessions, potential salt tolerance donors were identified along with significant markers and candidate genes, such as GmKUP6 and GmWRKY33. Abstract : Salt stress remains a significant challenge in agricultural systems, notably impacting soybean productivity worldwide. A comprehensive genome-wide association study (GWAS) was conducted to elucidate the genetic underpinnings of salt tolerance and identify novel source of salt tolerance among soybean genotypes. A diverse panel comprising 269 wild and cultivated soybean accessions was subjected to saline stress under controlled greenhouse conditions. Phenotypic data revealed that salt tolerance …

Prescribed Fire Regimes Influence Responses Of Fungal And Bacterial Communities On New Litter Substrates In A Brackish Tidal Marsh, Viet Q. Dao, Crystal N. Johnson, William J. Platt

Faculty Publications

Processes modifying newly deposited litter substrates should affect fine fuels in fire-managed tidal marsh ecosystems. Differences in chemical composition and dynamics of litter should arise from fire histories that generate pyrodiverse plant communities, tropical cyclones that deposit wrack as litter, tidal inundation that introduces and alters sediments and microbes, and interactions among these different processes. The resulting diversity and dynamics of available litter compounds should affect microbial (fungal and bacterial) communities and their roles in litter substrate dynamics and ecosystem responses over time. We experimentally examined effects of differences in litter types produced by different fire regimes and litter loads …

Spatiotemporal Climatology Of Georgia Tropical Cyclones And Associated Rainfall, Reilly Corkran, Jill Trepanier, Vincent Brown

Faculty Publications

Tropical cyclones (TCs), often characterized by high wind speeds and heavy rainfall, cause widespread devastation, affecting millions of people and leading to economic losses worldwide. TC-specific research in Georgia is scarce, likely due to the minimal geographical extent of its coast and the infrequency of direct landfalls. Research on Georgia TCs does not account for storms that make landfall in other southeastern states (e.g., Florida) and continue north, northeast, or northwest into Georgia. This study used the North Atlantic Basin hurricane database (HURDAT2) to quantify the spatiotemporal patterns of direct and indirect landfalling of Georgia tropical cyclones (>16 ms−1) …

Scene Classification Of Remote Sensing Image Based On Multi-Path Reconfigurable Neural Network, Wenyi Hu, Chunjie Lan, Tian Chen, Shan Liu, Lirong Yin, Lei Wang

Faculty Publications

Land image recognition and classification and land environment detection are important research fields in remote sensing applications. Because of the diversity and complexity of different tasks of land environment recognition and classification, it is difficult for researchers to use a single model to achieve the best performance in scene classification of multiple remote sensing land images. Therefore, to determine which model is the best for the current recognition classification tasks, it is often necessary to select and experiment with many different models. However, finding the optimal model is accompanied by an increase in trial-and-error costs and is a waste of …

Machine Learning For Automated Classification Of Lung Collagen In A Urethane-Induced Lung Injury Mouse Model, Khalid Hamad Alnafisah, Amit Ranjan, Sushant P. Sahu, Jianhua Chen, Sarah Mohammad Alhejji, Alexandra Noël, Manas Ranjan Gartia, Supratik Mukhopadhyay

Faculty Publications

Dysregulation of lung tissue collagen level plays a vital role in understanding how lung diseases progress. However, traditional scoring methods rely on manual histopathological examination introducing subjectivity and inconsistency into the assessment process. These methods are further hampered by inter-observer variability, lack of quantification, and their time-consuming nature. To mitigate these drawbacks, we propose a machine learning-driven framework for automated scoring of lung collagen content. Our study begins with the collection of a lung slide image dataset from adult female mice using second harmonic generation (SHG) microscopy. In our proposed approach, first, we manually extracted features based on the 46 …

Regulating Crypto Intermediaries, Eric D. Chason

Faculty Publications

Early 2024 produced a dramatic rebound in cryptocurrency markets as Bitcoin hit an all-time high price in March 2024. This surge was fueled in large part by judicial and regulatory action. After years of denials and a high-profile defeat in court, the U.S. Securities and Exchange Commission (SEC) finally approved the first exchange-traded funds (ETFs) for Bitcoin in January 2024. Many believe that these approvals will lead to a greater shift of investment funds into crypto. Crypto regulation is not, however, ready for this shift. While ETFs have clear treatment under current law, other institutions lack the same clarity or …

Extraterritoriality's Empire: How Self-Determination Limits Extraterritorial Lawmaking, Evan J. Criddle

Faculty Publications

In recent years, a growing number of countries have courted controversy by regulating activities outside their borders. They have used extraterritorial lawmaking to cultivate competitive global markets, strengthen or weaken data privacy, combat foreign terrorism and military aggression, promote human rights abroad, and suppress political dissent at home. This Article explores whether extraterritorial lawmaking can be reconciled with the right to self-determination under international law. I argue that the right to self-determination entitles each national polity to determine the laws and institutions by which it is governed within its territory. Extraterritorial lawmaking violates the right to self-determination when it subjects …

Le Ministère Et L'Intelligence Artificielle, Rogelio Paquini

Faculty Publications

No abstract provided.

Real-Time Synthesis Of A Nonuniformly Correlated, Partially Coherent Beam Using An Optical Coordinate Tansformation, Milo W. Hyde Iv

Faculty Publications

We design, build, and validate an optical system for generating light beams with complex spatial coherence properties in real time. Beams of this type self-focus and are resistant to turbulence degradation, making them potentially useful in applications such as optical communications. We begin with a general theoretical analysis of our proposed design. Our approach starts by generating a Schell-model (uniformly correlated or shift-invariant) source by spatially filtering incoherent light. We then pass this light through an optical coordinate transformer, which converts the Schell-model source into a nonuniformly correlated field. After the general analysis, we discuss system engineering, including trade-offs among …

Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton

Faculty Publications

The pairing of Unpiloted Aerial Systems (UAS) and Structure from Motion (SfM) has provided new capabilities for modeling freshwater environments. Applications of UAS-SfM range from water quality monitoring to the mapping of aquatic vegetation. The models produced provide users with the ability to analyze features at ultra-high-resolutions and across scales not easily achieved through in situ sampling. Despite the demonstrated benefits of UAS-SfM in freshwater and other natural resource disciplines, there remain fundamental technical challenges in the modeling of environments with homogenous surfaces (e.g., water). In this research, the effectiveness of several image collection and processing approaches for the modelling …

Accurate Crystal Structure Prediction Of New 2d Hybrid Organic–Inorganic Perovskites, Nima Karimitari, William J. Baldwin, Evan W. Muller, Zachary J.L. Bare, W. Joshua Kennedy, Gábor Csányi, Christopher Sutton

Faculty Publications

Low-dimensional hybrid organic–inorganic perovskites (HOIPs) are promising electronically active materials for light absorption and emission. The design space of HOIPs is extremely large, as a variety of organic cations can be combined with different inorganic frameworks. This not only allows for tunable electronic and mechanical properties but also necessitates the development of new tools for in silico high throughput analysis of candidate materials. In this work, we present an accurate, efficient, and widely applicable machine learning interatomic potential (MLIP) trained on 86 diverse experimentally reported HOIP materials. This MLIP was tested on 73 experimentally reported perovskite compositions and achieves a …

A Granular Investigation On The Stability Of Money Demand, Zhengyang Chen, Victor J. Valcarcel

Faculty Publications

A large literature has shown money demand functions constructed from simple-sum aggregates are unstable. We revisit the controversy surrounding the instability of money demand by examining cointegrating income-money relationships with the Divisia monetary aggregates for the U.S., and compare them with their simple-sum counterparts. We innovate by conducting a more granular analysis of various monetary assets and their associated user costs. We find characterizing money demand with simple-sum measures only works well in a period preceding 1980. Divisia aggregates, their components, and their user costs provide a more reliable interpretation of money demand. Subsample analysis across 1980 and 2008 suggests …

The Elephant In The Dark Room: A Response To Fair Notice, The Rule Of Law And Reforming Qualified Immunity, Teressa E. Ravenell

Faculty Publications

In response to Professor Chapman’s Fair Notice, the Rule of Law, and Reforming Qualified Immunity, this article examines the viability of Chapman’s proposal to reform qualified immunity by focusing on the “fair notice” rationale. Chapman argues that government officials should not be shielded from liability in cases where they acted in bad faith, violated criminal laws, or engaged in conduct malum in se. This article explores whether such a proposal could meaningfully alter qualified immunity litigation and concludes that significant procedural and historical barriers make this reform unlikely to succeed.

Comparing The Health Information Practices Of Sapphic People By Age Group And Generation, Vanessa Lynn Kitzie

Faculty Publications

This qualitative research examines how sapphic people (i.e., umbrella term inclusive of lesbian, bisexual, and pansexual trans femmes, mascs, nonbinary people, and ciswomen) in South Carolina navigate informational barriers within healthcare systems. An information practices lens that examines how sapphic people create, seek, use, and share information to achieve desired healthcare outcomes describes such navigation. The research focuses on how intersectional identities, with a particular emphasis on age and considerations of race/ethnicity, geography, and gender, mediate these practices and their outcomes. The research uses participant data from semi-structured interviews and focus groups with 34 sapphic people about their health information …

High-Fidelity Machine Learning Techniques For Driver Drowsiness Detection, Yasser Ismail, Ebenezer Essel, Abeer Abdelhamid, Mahmoud Darwich, Fahmi Khalifa, Fred Lacy

Faculty Publications

It is devastating that daily, there is an ample number of car crashes that cause damage to automobiles, onboard passengers get injured, and others tend to lose their lives. Road crashes are fast rising across the globe and have drawn many road safety commissions and concerned individuals to discuss ways to reduce this menacing situation drastically. With the introduction of artificial intelligence and technological advancement, the government and state commissions have beckoned on the various universities and research institutions to develop methods to curb the rise of automobile crashes. Some causes of these crashes include drunk driving and drowsiness, the …

Removal Of Common Antimicrobial Agents By Sustained Low- Efficiency Dialysis, Joanna Q. Hudson Pharmd, Bcps, Fasn, Fccp, Madelyn N. Hilgers Bs, Pharmd Candidate, Elvira O. Gosmanova Md

Faculty Publications

Adequate dosing of antimicrobials is paramount for treating infections in critically ill patients undergoing kidney replacement therapy; however, little is known about antimicrobial removal by sustained low-efficiency dialysis (SLED). The objective was to quantify the removal of cefepime, daptomycin, meropenem, piperacillin–tazobactam, and vancomycin in patients undergoing SLED. Adult patients ≥18 years with acute kidney injury (AKI) or end-stage kidney disease receiving one of the select antimicrobials and requiring SLED were included. Blood and dialysate flow rates were maintained at 250 and 100 mL/min, respectively. Simultaneous arterial and venous blood samples for the analysis of antibiotic concentrations were collected hourly for …

Exploring Barriers To Effective Covid-19 Risk Mitigation, Recovery, And Chronic Disease Self-Management: A Qualitative Multilevel Perspective, Gayenell S. Magwood Phd, Rn, Faha, Faan, Charles Ellis Jr, Chanita Hughes Halbert, Ebony Allen Toussaint, Jewel Scott Phd, Rn, Fnp-C, Lynne S. Nemeth

Faculty Publications

Introduction: Many research activities have focused on SARS-CoV-2 infection and subsequent COVID-19 respiratory illness during the pandemic. However, significant racial inequities emerged months after the COVID-19 pandemic began. The similarity between racial/ ethnic disparities in COVID-19 and those for other diseases raised awareness about the context for risk exposure and healthcare access. The purpose of this study is to examine social and structural determinants of health among COVID-19 survivors, carepartners, and the perspectives of healthcare stakeholders who experienced disruption during the early pandemic.
Material and methods: A purposive sample of interviews (n=9) and focus groups (n=10) were used to collect …