Digital Commons Network^™

Regulating The Amount Of Graphene Oxide For Enhanced Capacitive Energy Storage Of Mof Derived Materials, Yong-Ji Qin, Jing-Quan Yang, Hao Wang, Mei-Ling Lian, Pei-Pei Jia, Jun Luo, Xi-Jun Liu, Jun-Feng Liu

Journal of Electrochemistry

In pursuit of more efficient and stable electrochemical energy storage materials, composite materials consisting of metal oxides and graphene oxide have garnered significant attention due to their unique structures and exceptional properties. Graphene oxide (GO), a two-dimensional material with an extremely high specific surface area and excellent conductivity, offers new possibilities for enhancing the electrochemical performance of metal oxides. In this work, we synthesized metal- organic framework (MOF) and GO composites by regulating the amount of GO, and successfully prepared composites of metal oxides supported by nitrogen-doped carbon frameworks and GO through a simple one-step calcination process. Based on the …

Urban Landscape Recovery And Lulc Analysis: A Deep Learning Approach To Post-Extreme Rainfall Impacts In Dubai, Xin Hong

All Works

From April 14 to 18, 2024, the United Arab Emirates (UAE) experienced its heaviest rainfall in 75 years, resulting in widespread flooding across multiple emirates, including Dubai. This study utilizes high-resolution PlanetScope imagery and a U-Net deep learning model to assess the flood impact and analyze post-rainfall recovery patterns in Dubai’s urban landscape. By integrating Sentinel-2derived land use and land cover (LULC) data to refine the training dataset, a high-accuracy U-Net model was developed through transfer learning that effectively classified pre- and post-rainfall LULC. Post-rainfall LULC change detections indicate that 23.8 km² of land was flooded, which is equivalent …

Impact Of Late Universe Constraints On Early Universe Measurements Of Hubble, Garrett D. Suggs

Undergraduate Honors Theses

Early universe measurements of the Hubble constant usually find the best-fit value for H₀ given a specific data set and a particular cosmological model. Planck’s all-sky survey of the Cosmic Microwave Background is a common choice for this data, and is often supplemented with additional constraints from other measurements of cosmological phenomena. For example, the SH0ES collaboration’s measurement of H₀ from local type Ia supernovae is a common constraint to include, in the hope of reconciling the tension between late and early universe measurements. We attempt to quantify the effect of this constraint on early universe measurements of …

Secure Frameworks For User Motion Data In Virtual Reality, Jayasri Sai Nikitha Guthula

Theses and Dissertations

Virtual Reality is an innovative technology transforming industries such as gaming, healthcare, and remote collaboration. The increasing deployment of these systems results in the continuous collection of telemetry data, including motion patterns, hand gestures, and spatial interactions. This data is valuable for enhancing user experiences and optimizing system performance. However, it also introduces significant privacy risks. Unlike traditional digital footprints, motion data captures fine-grained physical behaviors that can be linked to individual users, making anonymization ineffective in preventing re-identification.This research introduces secure frameworks for user motion data in virtual reality, each proposed framework addressing privacy preservation from a different angle. …

Magnetic Macro Pendulum Design And Real-Time Control Application: Simulation And Experiment, Hüseyi̇n Yildiz, Serdar Yilmaz, Yasemi̇n Poyraz Koçak, Erol Uzal

Turkish Journal of Electrical Engineering and Computer Sciences

Over the last decade, the number of studies in the field of magnetic micro robots has significantly increased due to expectations of performing microsurgery, drug delivery, and similar medical procedures. Magnetic micro robots have advantages over other types of micro robots in terms of having independent designs for rotor and stator structures. Magnetic micro robots can be controlled by magnetic fields and can be programmed to move in certain directions and to perform various functions. This paper implements the computer-aided real-time control of a single-arm micro-pendulum structure to (eventually) perform cell manipulation tasks. The mechanical structure, mathematical model, control circuit …

A Novel Microdosimetry-Based Formalism For Cell Survival Modelling Applicable To Hypofractionated Radiotherapy, Oleg N Vassiliev, Radhe Mohan

Faculty, Staff and Student Publications

Objectives

Hypofractionated radiotherapy requires reliable cell survival models for doses much higher than the standard 2 Gy, for which the linear-quadratic (LQ) model is not applicable. We developed an alternative approach applicable to both low doses and high doses used in hypofractionated treatments and radiobiological experiments.

Approach.

We combined a standard microdosimetric technique with a recently introduced non-LQ cell survival model. Our formulation accounts for cell damage by multi-track events involving any number of particles. This is necessary for modelling cell survival at therapeutic doses. We characterise each cell type by the size �� of the sensitive volume (SV) and …

Some Nonparametric Tests For High-Dimensional And Functional Data, Bilol Banerjee

Doctoral Theses

The advancement of information technology and sciences over the last few decades has facilitated the collection, storage and analysis of huge data sets. Many of these data sets contain observations having large number of features, and in some cases, this number is comparable to or even much larger than the sample size. Many traditional statistical methods cannot be meaningfully used in such situations. We develop some inferential tools for such high dimensional data. In particular, we consider the two-sample problem and the problem of testing spherical symmetry of a multivariate distributions. We construct some nonparametric tests in these contexts and …

Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – June 2025 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Thermally Tunable Mid-Infrared Nanocavity Resonance Of Coupled Surface Plasmon-Phonon Polaritons, Satya R. Kachiraju, Zachary M. Brown, Sundar Kunwar, Long Chang, Imtiaz Ahmad, Pinku Roy, Vladimir Kuryatkov, Yejin Kwon, Ayrton A. Bernussi, Chase T. Ellis

Physics & Astronomy Faculty Publications

Phase-change materials (PCMs) are essential for achieving tunability of metasurfaces. However, they frequently face limitations in the long-wave infrared range because of their lossy behavior. Here, we experimentally demonstrate a thermally tunable mid-infrared nanocavity resonance from coupled surface plasmon-phonon polaritons that are supported within a trilayer structure of metal-PCM layer-polar dielectric (Au-VO2-SiC). The top metal structures configure the Fabry-Perot cavity resonance near 840 cm−1 (11.9 µm), which is sensitively tunable and reversible with small changes in the VO2 refractive index ∆n near below its insulator-to-metal phase transition temperature where the loss is small. The maximum resonance shift of 7.7 cm−1 …

Effect Of Parental Support On Learning Engagement In Mathematics Online Learning Environment: The Mediating Role Of Online Self-Regulated Learning Strategies, Malathi Letchumanan, Sharifah Kartini Said Husain, Ahmad Fauzi Mohd Ayub

Higher Learning Research Communications

This study examines the effects of parental support on learning engagement and the mediating roles of self-regulated learning (SRL) in mathematics online learning environments. A sample of 112 undergraduate students from the mathematics departments of two public universities in Malaysia participated in the study. We analyzed the data using descriptive analysis and partial least squares structural equation modeling (PLS-SEM), and the study findings indicate that parental support significantly predicts online self-regulated learning (OSRL). In addition, OSRL is a significant predictor of students’ engagement. The results also suggest that OSRL fully mediates the relationship between parental support and learning engagement. However, …

“Silent Is Not Actually Silent”: An Investigation Of Toxicity On Bug Report Discussion, Mia Mohammad Imran, Jaydeb Sarker

Computer Science Faculty Research & Creative Works

Toxicity in bug report discussions poses significant challenges to the collaborative dynamics of open-source software development. Bug reports are crucial for identifying and resolving defects, yet their inherently problem-focused nature and emotionally charged context make them susceptible to toxic interactions. This study explores toxicity in GitHub bug reports through a qualitative analysis of 203 bug threads, including 81 toxic ones. Our findings reveal that toxicity frequently arises from misaligned perceptions of bug severity and priority, unresolved frustrations with tools, and lapses in professional communication. These toxic interactions not only derail productive discussions but also reduce the likelihood of actionable outcomes, …

Llput: Investigating Large Language Models For Bug Report-Based Input Generation, Alif Al Hasan, Subarna Saha, Mia Mohammad Imran, Tarannum Shaila Zaman

Computer Science Faculty Research & Creative Works

Failure-inducing inputs play a crucial role in diagnosing and analyzing software bugs. Bug reports typically contain these inputs, which developers extract to facilitate debugging. Since bug reports are written in natural language, prior research has leveraged various Natural Language Processing (NLP) techniques for automated input extraction. With the advent of Large Language Models (LLMs), an important research question arises: how effectively can generative LLMs extract failure-inducing inputs from bug reports? In this paper, we propose LLPut, a technique to empirically evaluate the performance of three open-source generative LLMs-LLaMA, Qwen, and Qwen-Coder-in extracting relevant inputs from bug reports. We conduct an …

A Multi-Scale Numerical Analysis Of Wave Propagation Through Coastal Vegetation Using Proteus & Xbeach, Cole M. Statler

LSU Master's Theses

Coastal vegetation attenuates waves in the nearshore zone and protects shorelines from storm surge and wave action. It also traps nutrients and sediment, and participates in the formation of land over longer time scales. These features of vegetation make it a common component of nature-based engineering projects. Interaction of water waves and flow with vegetation, however, can involve unsteady and turbulent flow, non-hyrdostatic pressure effects, and air entrainment that can hinder the use of simple parametric representations of vegetation drag. XBeach, a one- and two-dimensional production model applies reduced-order methods, prioritizing computational efficiency. Vegetation is represented in XBeach as a …

Essays On Stablecoins’ Stability, Ravi Joshi

LSU Doctoral Dissertations

In this dissertation, I present three independent essays that contribute to the literature on stablecoins, the run-on stablecoin (Terra), and the information narrative surrounding the run. The first essay offers a comprehensive overview of the stablecoin ecosystem, the structural frictions that challenge peg maintenance, and the evolving regulatory landscape governing stablecoin issuance and use. In the second essay, I investigate the collapse of the TerraUSD (UST) algorithmic stablecoin and provide evidence that the collapse mimicked a run by demonstrating liquidity shortages on centralized exchanges. I show that Terra’s arbitrage mechanism broke on May 7, 2022, and that sustained price deviations …

Discourse Of Indian Knowledge System, Pooja Rai, Rajani Kant Pandey

The World Research of Political Science Journal

Indian Knowledge Systems (IKS) is a section of the Indian Ministry of Education that promotes indigenous knowledge systems. Knowledge assets generated in India are called the Indian Knowledge System (IKS). Mathematics, physics, technology, medicine, astronomy, architecture, philosophy, arts, languages, literature, culture, society, and traditions are included. IKS has traditionally established its own written or verbal texts, methodologies, and standards for knowledge generation, validation, and dissemination. The Indian knowledge system covers all sectors of society, unlike the western one. Indian knowledge system lags western methodology. This deficiency is due to two factors: Indias history as a nation-state and western societys methodology. …

Estimating Galactic Structure Using Galactic Binaries Resolved By Space-Based Gravitational Wave Observatories, Shao-Dong Zhao, Xue-Hao Zhang, Soumya Mohanty, Màrius Josep Fullana I Alfonso, Yu-Xiao Liu, Qung-Ying Xie

Physics & Astronomy Faculty Publications

Space-based gravitational wave detectors, such as the Laser Interferometer Space Antenna (LISA) and Taiji, will observe GWs from O(108) galactic binary systems, allowing a completely unobscured view of the Milky Way structure. While previous studies have established theoretical expectations based on idealized data-analysis methods that use the true catalog of sources, we present an end-to-end analysis pipeline for inferring galactic structure parameters based on the detector output alone. We employ the GBSIEVER algorithm to extract GB signals from LISA Data Challenge data and develop a maximum likelihood approach to estimate a bulge-disk galactic model using the resolved GBs. We introduce …

Evaluation Of Windninja Simulations In Canyons And Complex Terrain, Marc Buchs

Master's Theses

This study describes a validation of the surface wind model WindNinja conducted over different types of complex terrain. WindNinja is one of many software tools first responders use to better understand wind flow over such terrain. One approach to receive a higher resolution wind field to account for local terrain effects is to downscale numerical weather prediction model output with the help of WindNinja. 2 km resolution Weather Research and Forecasting model (WRF) output was used as input for our WindNinja simulations. We tested the surface wind model for two case sites in California characterized by canyons of different terrain …

Adaptive Multi-Agent Reinforcement Learning For Electric Vehicle Charging Optimization Under Dynamic Traffic Conditions, Shaghayegh Rabbanian

LSU Master's Theses

Electric vehicle (EV) charging optimization is a critical challenge in sustainable transportation. This study focuses on three fundamental questions: (1) when is the best time to charge an EV, (2) where is the optimal charging location, and (3) how should charging be planned considering navigation and routing decisions. Our primary objective is to determine the optimal time and location for EV charging while accounting for key factors such as real-time traffic conditions, spatial distribution of charging stations, and EV-specific attributes such as state of charge (SOC), driving range, and efficiency. To develop a robust and adaptive EV charging recommendation system, …

Combination Of Irreversible Electroporation And Clostridium Novyi-Nt Bacterial Therapy For Colorectal Liver Metastasis, Zigeng Zhang, Guangbo Yu, Qiaoming Hou, Farideh Amirrad, Sha Webster, Surya M. Nauli, Jianhua Yu, Vahid Yaghmai, Aydin Eresen, Zhuoli Zhang

Pharmacy Faculty Articles and Research

Colorectal liver metastasis (CRLM) poses a significant challenge in oncology due to its high incidence and poor prognosis in unresectable cases. Current treatments, including surgical resection, systemic chemotherapy, and liver-directed therapies, often fail to effectively target hypoxic tumor regions, which are inherently more resistant to these interventions. This review examines the potential of a novel therapeutic strategy combining irreversible electroporation (IRE) ablation and Clostridium novyi-nontoxic (C. novyi-NT) bacterial therapy. IRE is a non-thermal tumor ablation technique that uses high-voltage electric pulses to create permanent nanopores in cell membranes, leading to cell death while preserving surrounding structures, and …

Newtonian Fractional-Dimension Gravity And The Mass-Dimension Field Equation, Gabriele U. Varieschi

Physics Faculty Works

We resume our analysis of Newtonian Fractional-Dimension Gravity (NFDG), an alternative gravitational model which does not require the Dark Matter (DM) paradigm. We add three more galaxies (NGC 6946, NGC 3198, NGC 2841) to the catalog of those studied with NFDG methods. Once again, NFDG can successfully reproduce the observed rotation curves by using a variable fractional dimension D (R), as was done for nine other galaxies previously studied with these methods. In addition, we introduce a mass-dimension field equation for our model, which is capable of deriving the fractional mass-dimension Dm (R) from first principles, as opposed to the …

Transformation With Genes To Improve Lipid Production And Barcoding To Identify Unknown Algal Species, Michelle T. Rada

Theses and Dissertations

With the rising demand for alternative fuels, algal-based biofuels are a promising, sustainable source that meets commercial interest while producing lower greenhouse gas emissions compared to fossil fuels. This thesis explored two studies, evaluating microalgae for their future potential in lipid yield for biofuel production.

The first study involved developing a cost-efficient electroporation protocol that allowed for the genetic transformation of Chlamydomonas reinhardtii using the pChlamy_4 vector, which supports future cloning of genes to enhance lipid production. Parameters affecting DNA uptake and integration into algal genomes were studied: the effect of cell density, the settings of the electroporation device, and …

Picturing The Victorian Revival Of The Guitar: The Diary Of Caroline Maud Berkeley (1859–1949), Christopher Page

Soundboard Scholar

The diary of Caroline Maud Berkeley née Tomlinson, compiled in thirteen sketch books from 1888 to 1901, offers the most extensive social record of guitar-playing to be found in any private document of the nineteenth century. This article, compiled with exclusive access to the original manuscripts, offers the first comprehensive digital record of more than twenty scenes of guitars in use, together with the accompanying diary text, which has never before been published in an authentic form. The diarist’s sharp eye for facial expressions and gestures, her radiant sense of color, and her keen sense of humor allow her to …

Asymptotic Behavior Of Evolution Equations Via Spectral Theory Of Functions On The Half Line, Sums Of Commuting Operators And Evolution Semigroups, Minh Nguyen, Vu Trong Luong

Faculty Scholarship

In this paper we give a survey of recent developments in the spectral theory of bounded functions on the half line, and its applications to study the asymptotic behavior of solutions of evolution equations of the form , where A(t) is periodic in t. For the applications we consider spectra of the evolution semigroups associated with the evolution equations in various spectral invariant function spaces and their generators. The main results presented in the paper are concerned with the existence and uniqueness within decaying functions with specific spectral properties. These asymptotic behaviors are related to the Katznelson–Tzafriri Theorem and Massera …

Flow Dynamics And Local Scour Around Seabed-Mounted Artificial Reefs: A Case Study From Torbay, Uk, Yeaw Chu Lee, Amir Bordbar, Jakub Knir, Vasilios Kelefouras, Stephen Hickling, Harrison Short

School of Engineering, Computing and Mathematics

This study investigates the flow dynamics and local scour around a Reef Cube® artificial reef deployed in Torbay, UK, using computational fluid dynamics. The flow is modelled using Reynolds-Averaged Navier–Stokes (RANS) equations with a k-ω SST turbulence model. A novel hydro-morphodynamic model employing the generalized internal boundary method in HELYX (OpenFOAM-based) is used to simulate scour development. Model performance was validated against experimental data for flow fields, bed shear stress, and local scour. Flow simulations across various scenarios demonstrated that parameters such as the orientation angle and arrangement of Reef Cubes significantly influence flow patterns, bed shear stress, and habitat …

Eastern United States, West To East Transect Temporal Trends In Dew Point Temperature (1973-2024), Oren Bognar

Summer Research Internship Program

No abstract provided.

Abstract Book (Pdf), School Of Medicine

Summer Research Internship Program

Abstract Book for the 2025 Summer Research Internship Program. Participants are listed alphabetically by last name.

Ramd Analysis Of Energy Sources For Water Pumping Application In Nigeria, Ignatius Kema Okakwu, Christian Chukwuemeka Ike, Akintunde Samson Alayande, Ayodeji Akinsoji Okubanjo, Abraham Olatide Amole, Emmanuel Seun Oluwasogo, Matthew Babatunde Olajide, Opeyemi Ahmed Ajibola, Samson Oladayo Ayanlade, Joseph Bukola Samson

AUIQ Technical Engineering Science

Energy supply is a key indicator of nation's development, hence, the need to shift attention towards its sustainability. In this study, a reliability, availability, maintainability and dependability-(RAMD)-based approach is utilized to determine subsystem components that impede sustainable water supply. Mathematical models using the Markovian birth-death process and transition diagrams are developed for each component/subsystem for the energy supply system. Chapman-Kolmogorov differential equations for each component are also formulated. The failure and repair time random variables are statistically independent and follow exponential distribution. Three different cases of energy supply system are considered. The components/subsystems are solar photovoltaic (PV), wind, diesel generator …

Transformative Role Of Laser Technology In Ophthalmology And Dermatology: A Mini Review Of Precision Applications In Modern Medicine, Haider Hameed, Maryam Aqeel, Hussein Rafid, Rasha Sabah, Mustafa Fadhel, Zahraa Hameed, Muqtada Khalawi, Zahraa Sarmed, Ail Ahmed, Ayat Abd Albari, Lina M. Shaker

AUIQ Complementary Biological System

Laser technology has significantly transformed healthcare and biological sciences by Laser devices are offered precision, efficiency, and Multiple simple solutions in various medical fields and research domains. In ophthalmology, lasers play a pivotal role in vision correction, retinal imaging, and therapeutic applications, such as femtosecond laser-assisted LASIK and two-photon fluorescence scanning laser ophthalmoscopy. Dermatology has also benefited from CO₂, Nd:YAG, excimer, and Q-switched lasers, which are widely used for pigmentation disorders, tattoo removal, and skin rejuvenation. Moreover, Low-Level Laser Therapy (LLLT) enhances wound healing and tissue regeneration, while intense pulsed light (IPL) and diode lasers improve hair removal …

Detection Of Oil Pollution On The Tigris River In Iraq Using Fluorescence And Reflecting Techniques, Ahmad K. Ahmad, Thamer M. Mohammed

Karbala International Journal of Modern Science

In this study, a broadband light source (visible and ultraviolet) was used to name minerals via fluorescence spectra and estimate slick oil thickness, ranging from sub-millimetres, using the reflecting spectrum technique. Using a fluorescent technique, we obtained fluorescence spectra of the samples, converting and processing the signals to produce high-resolution data, which enabled the identification of the types of dissolved elements and oil slicks in the Tigris River, highlighting pollution sources and potential control measures. This system aims to show the faint signal in fluorescence samples collected from the cooling system outlet water throughout the refining process from AL-Dora (Baghdad) …

Multilingual Cyber Threat Intelligence Feeds Preprocessing For Threat Intelligence Event Extraction: A Systematic Literature Review, Jamal H. Al-Yasiri, Mohamad Fadli Bin Zolkipli, Nik Fatinah N. Mohd Farid

Karbala International Journal of Modern Science

In cyber threat intelligence (CTI), information security specialists face overwhelming data flows from multiple sources, including hacker forums, dark web markets, and social media. These diverse and multilingual information streams require extensive analysis and processing. However, the current state of CTI faces several challenges, such as reliance on manual annotation and evaluation, as well as limited support for non-English languages, which hinders advanced threat detection and comprehensive analysis. This systematic literature review proposes a conceptual framework designed to overcome existing state-of-the-art limitations. It evaluates recent advancements in CTI methodologies by following PRISMA guidelines and analyzing selected studies from reputable sources, …