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Ab-Initio Investigation Of The Structural, Electronic, Mechanical, Thermophysical, And Optical Properties Of The Zintl-Phase K₂Agsb Ternary Compound For Optoelectronic Applications, John Peter Kachira, Robinson Juma Musembi, Francis Nyongesa, Mwende Mbilo, Martin Nyamunga, Ibrahim Musanyi

All Grantees Publications

A Zintl-phase K₂AgSb ternary compound has been investigated using density functional theory (DFT) on its structural, electronic, mechanical, thermophysical, and optical properties. Various exchange-correlation functionals have been employed, including the local density approximation (LDA) and generalised gradient approximation (GGA). Regularised strongly constrained and appropriately normed (RSCAN) and Tran-Blaha modified Becke-Johnson (TB-mBJ) functionals were utilised to enhance the accuracy of electronic structure predictions. The computed band gap values were 1.1601 eV and 1.2559 eV using LDA and GGA approximations, respectively. In contrast, more refined estimates of 1.5274 eV and 1.8917 eV were obtained using the RSCAN and TB-mBJ functionals. Machine …

First-Principles Study Of The Structural, Electronic, Mechanical, And Optical Properties Of Zintl-Phase K2agbi Ternary Compound For Optoelectronic Applications Open Access, John Peter Kachira, Robinson Musembi, Francis Nyongesa, Mwende Mbilo, Martin Nyamunga, Ibrahim Musanyi

All Grantees Publications

A comprehensive first-principles study was conducted to explore the structural, electronic, mechanical, thermophysical, and optical properties of a Zintl-phase K₂AgBi ternary semiconductor compound using density functional theory. The calculations employed the local density approximation (LDA), generalized gradient approximation (GGA), and meta-GGA methods. The computed negative formation energies proved the thermodynamic stability of the K₂AgBi ternary compound. The computed bandgap values were 0.6732 and 0.7848 eV for the LDA and GGA, respectively. More refined bandgap estimates were obtained using meta-GGA methods, with the Tran–Blaha modified Becke–Johnson potential yielding 0.9346 eV and the revised strongly constrained and appropriately …

Geagrow: A Mobile Tool For Soil Nutrient Prediction And Fertilizer Optimization Using Artificial Neural Networks, Olusegun Folorunso, Oluwafolake Ojo, Mutiu Busari, Muftau Adebayo, Joshua Adejumobi, Daniel Folorunso, Femi Ayo, Orobosade Alabi, Olusola Olabanjo

All Grantees Publications

Introduction: Most farmers in Nigeria lack knowledge of their farmland’s nutrient content, often relying on intuition for crop cultivation. Even when aware, they struggle to interpret soil information, leading to improper fertilizer application, which can degrade soil and ground water quality. Traditional soil nutrient analysis requires field sample collection and laboratory analysis; a tedious and timeconsuming process. Digital Soil Mapping (DSM) leverages Machine Learning (ML) to create detailed soil maps, helping mitigate nutrient depletion. Despite its growing use, existing DSM-based ML methods face challenges in prediction accuracy and data representation. Aim: This study presents GeaGrow, an innovative mobile app that …

Cleancity Iot: A Vehicle-Mounted Platform For Real-Time Urban Air-Quality Monitoring And Forecasting In Resource-Constrained African Cities, Eric Nizeyimana, Damien Hanyurwimfura, Gabriel Uwanyirigira, Bonaventure Karikumutima, Jimmy Nsenga, Irene Niyonambaza Mihigo

All Grantees Publications

Urban air pollution is a growing public-health challenge in African cities, yet traditional monitoring stations are sparse and expensive. The paper presents CleanCity IoT, a deployed, low-cost, vehicle-mounted air-quality platform that combines IoT sensors, GSM connectivity, cloud aggregation, and machine learning to produce near-real-time exposure maps and 2-hour forecasts for multiple pollutants. Each device integrates low-cost sensors for PM2.5, PM10, NO₂, O₃, SO₂, and CO₂, alongside temperature and humidity. Measurements are geotagged and transmitted over mobile networks form vehicles to a cloud backend, where data are validated, stored, and visualized through a user-friendly dashboard that also issues automated alerts and …

Therapeutic Potential Of Brassica Carinata Microgreens Extract In Alleviating Symptoms Of Type 2 Diabetes In Wistar Rats, Lilian Nakakaawa, Ifeoluwa D. Gbala, Joel L. Bargul, Xavier Cheseto, John M. Wesonga

All Peer-Reviewed Publications

Microgreens of Brassica plants have attracted increasing research interest in the management of the prevailing epidemic of Type 2 diabetes mellitus (T2DM) because of their high nutritional value. This study evaluated the antidiabetic effects of Brassica carinata Microgreens Ethanolic Extract (BMEE) in type-2 diabetic rats. For the normoglycemic assay, rats were divided into five groups and received a single oral dose of 100, 250, and 500 mg/kg of BMEE while the control groups received distilled water and Glibenclamide. Fasting blood glucose (FBG) levels were determined on a weekly basis for 28 days in diabetic rats after treatment with BMEE at …

Comparing Patency Of Pulmonary Stent Implantation And Balloon Angioplasty In Pulmonary Vein Stenosis: A Systematic Review And Meta-Analysis, Izza Batool, Muhammad K. Khan, Muhammad Zohaib, Ibrahim A. Khan, Syed A. A. Bukhari, Shreeja Shah, Khaled Harmouch, Hussam Al Hennawi, Bruce D. Klugherz

Abington Jefferson Health Papers

Pulmonary vein stenosis (PVS) is an insidious diagnosis associated with morbidity and mortality. Pharmacologic therapy may suffice initially, but advanced stages demand mechanical intervention. Pulmonary stent implantation (PSI) and pulmonary balloon angioplasty (PBA) are common strategies, both carrying restenosis risks. This meta‐analysis compares PSI and PBA to determine the superior revascularization strategy. We systematically searched databases until November 2023, identifying 11 studies with 780 patients. Studies, including those involving patients undergoing balloon angioplasty (BA) or stent angioplasty (SA) for PVS, were selected. Case reports, editorials, and cross‐sectional studies were omitted. Primary outcomes included restenosis requiring reintervention, 5‐year freedom from restenosis, …

Revascularization Strategies For Multivessel Disease In Acute Coronary Syndrome: Network Meta-Analysis, Khaled M. Harmouch, Mohammad Hamza, Nomesh Kumar, Zarghoona Wajid, Neel Patel, Masooma Naseem, Jawad Basit, Prakash Upreti, Manoj Kumar, Waqas Ullah, Yasar Sattar, Timir K. Paul, Emmanouil Brilakis, M. Chadi Alraies

Abington Jefferson Health Papers

BACKGROUND: The optimal revascularization strategy for patients with acute coronary syndrome (ACS) and multivessel disease (MVD) remains debated. This study compares the efficacy and safety of different revascularization strategies in these patients.

METHODS: We included 20 studies comparing staged, complete, and culprit-only (CO) revascularization strategies in patients with ACS and MVD. We divided the revascularization strategies into 3 distinct strategies: CO, complete index procedure (CIP), and complete staged procedure (CSP). We then compared CIP and CSP with CO. Outcomes studied are all-cause mortality, cardiac death, recurrent myocardial infarction (MI), need for revascularization, bleeding, contrast-induced nephropathy (CIN), stroke, bleeding, and stent …

Quantum Immortality: A Perspective If Ai Doomers Are Probably Right, Alexey Turchin, James Miller

Economics: Faculty Publications

What should you believe will be the likely cause of your survival if you are an AI Doomer who believes in quantum immortality? An AI Doomer believes that if their understanding of AI existential risks is correct, humanity must get extremely lucky to survive. A person who believes in quantum immortality thinks that the many-worlds interpretation of quantum physics implies that their consciousness will necessarily continue in some branch of the multiverse. This article shows that combining these two beliefs requires rejecting or going beyond simple Bayesian reasoning when estimating one's most likely cause of survival. Such estimates may have …

From Design To Theory: Understanding The Evolution Of Blockchain Research In Project Management., Cherie Noteboom, Aravindh Sekar, Sai Neelima Seru

Research & Publications

This study presents a systematic literature review of 58 peer-reviewed publications on blockchain-based project management to examine the dominant research methods and theoretical approaches in the field. Using an established Information Systems theory classification framework, the review classifies existing studies into four categories: Explicit Theory-Driven, Conceptual/Framework-Oriented, Design Science/Artifact-Oriented, and Descriptive/Empirical without Theory. Findings reveal that current research is largely technology-centric, with nearly 70% of studies adopting design-science or artifact-oriented methods and fewer than 10% engaging explicit theoretical foundations. This indicates that blockchain-project management scholarship remains in a pre-theoretical stage, focusing primarily on prototype development rather than explanatory or predictive theorizing. …

Strategic Factors For Blockchain Implementation In Supply Chains, Aravindh Sekar, Cherie Noteboom, Deb Tech

Research & Publications

This study identifies twelve critical factors influencing the successful implementation of Blockchain Technology (BCT) in supply chain processes, addressing the significant gap in understanding the practical and theoretical complexities of blockchain implementation. Through semi-structured interviews and grounded theory analysis, the concept of Decentralized Coordination and Sustainability was derived in addition to themes such as Strategic Alignment and Leadership Commitment, Organizational Adaptability and Resilience, Data Security and Integrity, User Preparedness and Engagement. These themes provide a novel theoretical lens to explore blockchain’s role in enhancing supply chain transparency, traceability, and collaboration. The study bridges strategic frameworks with decentralized technologies, providing actionable …

Ethanol Concentration In Gasoline, Hannah Feser, Wyatt Olson, Jeffrey Elbert

Annual Research Symposium

For this research project, we will be measuring the concentration of ethanol present in different types of gasoline from various gas stations. The purpose of this project is to analyze and determine whether there is a substantial variance in the concentration, especially if it is possibly detrimental towards gas mileage and the product you intend to purchase is not what you are receiving. Our results have potential to lead to further research and discovery dependent upon if there is a significant variance found, this could mean a fault in the production or delivery lines of the gasolines.

Natural Language Processing Applications In Medical Data, Sureh San, Mark Spanier

Annual Research Symposium

Natural Language Processing (NLP) is the utilization of Artificial Intelligence / Machine Learning in understanding human language. NLP is increasingly being applied in the realm of healthcare as it can make information processing highly efficient through data summarization. In this modern day of technology, data is increasing at an unprecedented pace, and AI can assist in organizing unstructured information. In this use case, Named Entity Recognition, which is the classification of words, can recognize key terms in medical information. This study provides in depth research on the foundations of Natural Language Processing for healthcare use cases. Furthermore, comparison of AI …

Is Al-Driven Threat Detection An Effective Substitute For Current Threat Detection Architectures?, Connor J. Ford

Annual Research Symposium

This research evaluates the use of Artificial Intelligence (Al] in the development of cyber defense systems.

Quantifying Dynamic Response In Web Application Honeypots, Luke Constantino

Annual Research Symposium

Honeypots are intentionally vulnerable computers designed to attract and analyze malicious activity. While an effective cybersecurity tool, research quantifying the effectiveness of various honeypot web services that respond dynamically is limited.

Natural Bone Human Education Skeletons: Investigating Restoration And Ancestry, Emelye Josko

Annual Research Symposium

•Three real human skeletons owned by DSU were restored to a fully functional state for classroom usage, using anatomical guides and museum preservation techniques. •These skeletons have inspired the development of a new curriculum that promotes interactive learning, allowing students to engage with the skeletal remains in a hands-on environment. •Non-invasive DNA extraction methods are being employed to gather additional information about the heritage of the skeletons, enhancing the understanding of their origins and significance.

Research Poster, Ivan Casamalhuapa

Annual Research Symposium

For my project | sought out to make a traffic light simulator and Opticom as well as a Mobile Infared Transmitter(MIRT). | explored how to wire an Arduino and write instructions to GPIO pins.

China Vs Democracy: The Strategic Use Of Malign Cyber Influence Campaigns, Alexander Deak

Annual Research Symposium

How and why do China’s methods for malign influence vary between different democracies?

Social Behavior & Personality In Corn Snakes, Maggie-Rose Johnston

Theses and Dissertations (Comprehensive)

The sociality of snakes, long thought simplistic, has been shown to be governed by a host of different factors such as kinship, experience, sex, weight and personality. There is, however, still a need to untangle how snakes prioritize different kinds of information when interacting. I hypothesized that examining each dyad that composes a group could partly predict how individuals would behave in a larger group context, providing insight into the mechanisms governing aggregation. Six groups of six corn snakes (Pantherophis guttatus) had their personalities tested, then underwent dyadic interactions with each member of their cohort followed by a …

Can Fungal Endophytes Suppress Trialeurodes Vaporariorum And The Transmission Of Tomato Infectious Chlorosis And Chlorosis Viruses In Field Conditions?, Marial Makur Zechariah Paweer, Everlyne Samita Namikoye, Shem Bonuke Nchore, Komivi Senyo Akutse

All Peer-Reviewed Publications

Field trials were conducted for two seasons in two experimental sites (Mwea in Kirinyaga and Ngoliba in Kiambu counties of Kenya) to assess the efficacy of fungal endophytes Hypocrea lixii F3ST1 and Trichoderma asperellum M2RT4 in the control of Trialeurodes vaporariorum vector of tomato infectious chlorosis virus (TICV) and tomato chlorosis virus (ToCV) through seeds inoculation. TICV and ToCV’s disease incidence, severity and the yield were also evaluated. All the fungal endophytes successfully colonized all the tomato plant parts, but the highest root colonization was observed in H. lixii F3ST1 compared to the T. asperellum M2RT4 in both seasons. The …

Nuclear Intron Sequence Variation Of The Bulinus Globosus Complex (Mollusca: Planorbidae): Implications For Molecular Systematic Analyses, Chairat Tantrawatpan, Kotchaphon Vaisusuk, Chrysantus M. Tanga, Warayutt Pilap, Naruemon Bunchom, Ross H. Andrews, Tongjit Thanchomnang, Wanchai Maleewong, Weerachai Saijuntha

All Peer-Reviewed Publications

Urinary schistosomiasis is caused by the blood fluke Schistosoma haematobium, which is predominantly found in Africa. The freshwater snail Bulinus globosus is its main intermediate host. The species that make up the B. globosus group are genetically complex, and their taxonomic status remains controversial. Genetic variation, heterozygosity, and DNA recombination in B. globosus were examined using the mitochondrial cytochrome c oxidase subunit 1 (COI) and the intron 3 region of the arginine kinase gene (AkInt3). A total of 81 B. globosus snails were collected from three different localities in Kwale County, Kenya. Genomic diversity, heterozygosity, DNA recombination, and haplotype network …

Swatting Flies: Biting Insects As Non-Invasive Samplers For Mammalian Population Genomics, Anubhab Khan, Ryan Carter, Chengetai D. Mpamhanga, Daniel Masiga, Manun Channumsin, Marc Ciosi, Oliva Manangwa, Furaha Mramba, Umer Zeeshan Ijaz, Harriet Auty, Barbara K. Mable

All Peer-Reviewed Publications

Advances in next-generation sequencing have allowed the use of DNA obtained from unusual sources for wildlife studies. However, these samples have been used predominantly to sequence mitochondrial DNA for species identification while population genetics analyses have been rare. Since next-generation sequencing allows indiscriminate detection of all DNA fragments in a sample, technically it should be possible to sequence whole genomes of animals from environmental samples. Here we used a blood-feeding insect, tsetse fly, to target whole genome sequences of wild animals. Using pools of flies, we compared the ability to recover genomic data from hosts using the short-read sequencing (Illumina) …

Mapping Engineering Ethics Education, R Tormey, T Børsen, Shannon Chance, T T Lennerfors, Diana Adela Martin, G Bombaerts

Research Outputs: 2025-Present

Writing a handbook implies describing the fundamental information needed by those teaching or researching in a field. This is a challenging task when the field is still maturing. This handbook grew from the idea that we could ‘collaboratively write’ engineering ethics education. In this introduction, we define the field in three dimensions: engineering, ethics, and education. The latter dimension is divided into three parts: the subjects that shape the teaching of engineering ethics education, the understanding of learners and learning that informs the pedagogical choices made, and the fusion of these two in the pedagogical methods used in teaching engineering …

Power Utilization In Open Ran: Key Findings From A Usa Testbed, Saish Urumkar, Byrav Ramamurthy, Seshu Tirupathi, Sachin Sharma

Articles

Open Radio Access Networks (Open RAN) provide flexible, scalable, and interoperable solutions to address the growing demands of mobile traffic while also aiming to reduce energy consumption. Most prior research on energy-efficient Open RAN has focused on switching techniques such as dynamic cell on/off strategies and adaptive resource allocation, primarily through simulations. This letter investigates Central Processing Unit (CPU) power utilization at the NodeB (base station) level, focusing on User Equipment (UE) connection states by making use of a USA testbed (i.e., POWDER testbed). Two scenarios are considered for the experimental setup: (1) a simulated virtual environment with a single …

The Impact Of Stem Self-Efficacy And Sense Of Belonging On Academic Performance For Students Of Color In Introductory Stem Courses, Danyelle Nichole Stokes

UNF Graduate Theses and Dissertations

The study explores the interplay between STEM identity development, race and gender in relation to academic performance in STEM at the beginning of post-secondary education. Statistical analyses of this study included descriptive statistics, independent sample t-tests and a multiple linear regression. The quantitative results indicated no statistically significant differences in self-efficacy and sense of belonging scores between White students and students of color. However, participants’ open-ended responses warranted a holistic examination to look for qualitative differences in the STEM identities of students of color and White students. The findings supported existing literature on disparities in support, inclusion and access to …

Assessment Of Wave Climate Conditions At An Important Historical And Ecological Site Along The Fort George River In Northeast Florida, Ally O. Kasuwi

UNF Graduate Theses and Dissertations

This study investigated wave climate conditions at the Timucuan Preserve in northeast Florida, addressing gaps in previous shoreline erosion research that largely attributed erosion to boat wakes without detailed wave data. Field data were collected using several do-it-yourself water wave gauges. Each data collection event was for approximately one week, with an emphasis on collecting data before, during, and after periods of expected peak wave activity (i.e., holiday weekends and large-scale storms). Data were analyzed in the frequency domain to establish the likely cause of waves. Results suggested that, counterintuitively, watercraft traffic may have produced higher dominant wave periods than …

Long-Term Abundance Estimates Of A Northeast Florida Estuarine Dolphin Community: Evaluating The Impacts Of The 2013–2015 Cetacean Morbillivirus Unusual Mortality Event, Allison L. Wilkins

UNF Graduate Theses and Dissertations

Tamanend's bottlenose dolphins (Tursiops erebennus) in the St. Johns River (SJR), Jacksonville, FL, are subjected to substantial anthropogenic stressors (e.g., vessel traffic, dredging, fisheries interactions) and were heavily impacted by the 2013-2015 Mid-Atlantic cetacean morbillivirus unusual mortality event (UME). High prevalence of skin lesions and frequent sightings of emaciated dolphins suggest declining health and viability of the SJR dolphin community. Sighting data from Jul. 2011 to Oct. 2019 provided the rare opportunity to investigate long-term changes in dolphin abundance surrounding the UME. This study produced the first dolphin abundance estimate within the Jacksonville Estuarine System stock since 1997, …

Dielectric Performance Of Fused Filament Fabricated Ultem 9085 For Naval Radome Application, Carson Rogers

UNF Graduate Theses and Dissertations

ULTEM 9085 is a high-performance thermoplastic used in the fused filament fabrication (FFF) additive manufacturing process. It has found use in applications where mechanical strength, chemical integrity, and thermal stability are of paramount importance. In this thesis, the effects of process parameters, annealing, and weathering on the mechanical and dielectric properties of FFF ULTEM 9085 have been investigated.

The first part reviews existing research on how printing parameters such as nozzle temperature, chamber temperature, print speed, infill, and layer height affect the mechanical performance of FFF ULTEM 9085. Data from the manufacturer of commonly used ULTEM 9085 filament, Stratasys, has …

Preface, Prianka Nair, Saskia Valencia

Articles

No abstract provided.

Protein Ingestion And High-Intensity Resistance Training Decrease Respiratory Exchange Ratio Following Exercise In Females Across Various Body Compositions., Lynnsey Bowling

Dissertations

Metabolic dysfunction is associated with excess adipose tissue and interventions to elicit improvements to body composition could combat these health consequences. Acute nutritional and exercise strategies have the potential to shift metabolic processes toward those favoring fat oxidation. The purpose of this study was to investigate the effects of high-intensity resistance training (HIRT) and pre-exercise protein (PRO) ingestion on post-exercise respiratory exchange ratio (RER) in lean (LN) and overweight (OW) females. Twenty recreationally-active females (LN: n =10; OW: n = 10) completed two experimental sessions, consisting of HIRT and two acute nutritional interventions: PRO and placebo (PLA). RER was analyzed …

Astaxanthin Supplementation Does Not Significantly Alter Cognitive Performance Following Mental Fatigue In Females, Gavin A. Barker

Dissertations

Mental fatigue (MF) is a psychobiological state caused by prolonged periods of demanding cognitive activity, often characterized by impairments to cognitive performance. Astaxanthin (AX) is a naturally occurring antioxidant that can cross the blood-brain barrier and may preserve cognition when presented with a MF challenge. As yet, no studies have yet been conducted in an all-female cohort. This is the first study to investigate 4-weeks of AX supplementation on markers of cognitive performance (reaction time (RT), speed, and responses correct per second (RCS), visual analog scale of mental exertion (VAS-E)) following acute MF. Twenty-five recreationally active female subjects (AX: n …