Digital Commons Network^™

From Tweets To Token Sales: Assessing Ico Success Through Social Media Sentiments, Donghao Huang, S. Samuel, Quoc Toan Huynh, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

With the advent of social network technology, the influence of collective opinions has significantly impacted business, marketing, and fundraising. Particularly in the blockchain space, Initial Coin Offerings (ICOs) gain substantial exposure across various online platforms. Yet, the intricate relationships among these elements remain largely unexplored. This study aims to investigate the relationships between social media sentiment, engagement metrics, and ICO success. We hypothesize a positive correlation between favorable sentiment in ICO-related tweets and overall project success. Additionally, we recognize social media engagement indicators (mentions, retweets, likes, follower counts) as critical factors affecting ICO performance. Employing machine learning techniques, we conduct …

An Evaluation Of Heart Rate Monitoring With In-Ear Microphones Under Motion, Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Yang Liu, Cecilia Mascolo

Research Collection School Of Computing and Information Systems

With the soaring adoption of in-ear wearables, the research community has started investigating suitable in-ear heart rate detection systems. Heart rate is a key physiological marker of cardiovascular health and physical fitness. Continuous and reliable heart rate monitoring with wearable devices has therefore gained increasing attention in recent years. Existing heart rate detection systems in wearables mainly rely on photoplethysmography (PPG) sensors, however, these are notorious for poor performance in the presence of human motion. In this work, leveraging the occlusion effect that enhances low-frequency bone-conducted sounds in the ear canal, we investigate for the first time in-ear audio-based motion-resilient …

Hardware Trojan Detection Utilizing Graph Neural Networks And Structural Checking, Hunter Nauman

Graduate Theses and Dissertations

The integrated circuit (IC) industry has experienced exponential growth, particularly in the complexity and scale of hardware designs. To sustain this growth, faster development cycles and cost-effective solutions have been the focus for many companies. One strategy to maintain this growth is through the incorporation of third-party intellectual property (IP) into the IC design process. Outsourcing the production of sub-components reduces development time and enables faster time-to-market, however, this approach also introduces the threat of Hardware Trojans. Hardware Trojans, defined as any malicious modification or addition to an IC, pose significant security risks due to their small size, low activation …

The Gravitational Wave Peep: Improved Modeling Of Highly Eccentric Emris For Lisa Signal Confusion Noise, Daniel Joseph Oliver

Graduate Theses and Dissertations

Scattering events around a massive black hole will occasionally toss a stellar-mass compact object into an orbit around the massive black hole, beginning an extreme mass ratio inspiral. The early stages of such a highly eccentric orbit will not produce detectable gravitational waves as the source will only be in a suitable frequency band briefly when it is close to periapsis during each long-period orbit. This burst of emission, firmly in the millihertz band, is the gravitational wave peep. While a single peep is not likely to be detectable, if we consider an ensemble of such subthreshold sources, spread across …

An Inductive Analysis Examining Factors Contributing To Student Attrition In Introductory College Chemistry Courses And Proposed Solutions., Zephaniah Daniel Greenwell

Graduate Theses and Dissertations

A grounded theory study was conducted to investigate possible methods for reducing the number of “D”, “F”, or “W” grades (DFW rate) in the 1st semester general chemistry course. Classroom observations conducted over the 2022-2023 school year resulted in a 17 questions survey that was distributed in both the fall 2023 and spring 2024 semesters with 157 total student responses. While these surveys were being collected, an interview protocol was developed for students and instructors, who have experience teaching or taking an introductory chemistry course. These interviews were conducted in the early spring 2024 semester. Ten undergraduate students, six graduate …

From Stardom To Stunted: The Rise And Fall Of Sports Icons, Julia Simone

Undergraduate Theses and Capstone Projects

This case study is an examination of Aaron Hernandez’s professional and personal life as it was portrayed in the media. This study seeks to examine how the media narrative changed for Hernandez after his criminal activities came to light and how sports media contributed to the rise and fall of Aaron Hernandez’s professional career. The study also aimed to examine how stars like Hernandez can be held accountable for their actions outside their respective sport. To accomplish these goals, the researcher examined media coverage surrounding Hernandez to uncover how media frames corresponded with and contributed to the rise and fall …

Characterizing The Nonequilibrium Driving Forces Responsible For The Emergence Of Life, Charles Davis Kocher

Electronic Dissertations and Theses, 2010-current

Uncovering the origin of life on earth remains a grand challenge problem for the natural sciences. Some headway has been made by reasoning about which biological macromolecules were the first to appear, as in the well-known "RNA world" hypothesis. However, new approaches are needed for further advances. We seek instead the physical driving forces, powered by nonequilibrium supplies of energy, that could have compelled the emergence of life from simple chemistry in the capricious environments of the early earth. This perspective leads us to examine the prebiotic origins and characteristics not of molecule types, but of the dynamical principles of …

Resource Wealth And Micro-Insurgency Duration, Michael Trevett

Dissertations

Why are some insurgencies small in scale but long-term in duration, particularly those involving natural resource wealth? This dissertation identifies and defines a specific type of intrastate conflict, the micro-insurgency. I then examine how and why micro-insurgencies fought over natural resources are almost always very long-term conflicts, often lasting decades. Two data sets from previous research, one by Michael Ross and the other by Paul Collier and Anke Hoeffler, are refined and then analyzed and tested using Fuzzy set Qualitative Comparative Analysis (FsQCA). Findings from the FsQCA testing and analysis reveal that ancestral lands and actual, or existing and exploitable, …

The Post-Pandemic Job Market For Academic Librarians In The Southeast United States, Louise Lowe, J.B. Hill, Jenna Eastwood Hill, Claresta Icasia

Faculty Scholarship

This study examines the state of the post-pandemic academic library job market in the Southeastern region of the United States. This analysis of academic librarian job advertisements collected from 2022 and 2023 reveals that while some new jobs have emerged there is a continued demand for traditional roles, prior work experience and the ALA-accredited master’s degree. Diversity, equity, and inclusion are prominent in job advertisements despite some regional political opposition. Remote work options are limited, signaling a nuanced approach to work modality post-pandemic.

Transfer-Learning-Enhanced Regression Generative Adversarial Networks For Optimal Evtol Takeoff Trajectory Prediction, Shuan Tai Yeh, Xiaosong Du

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Electric vertical takeoff and landing (eVTOL) aircraft represent a crucial aviation technology to transform future transportation systems. The unique characteristics of eVTOL aircraft include reduced noise, low pollutant emission, efficient operating cost, and flexible maneuverability, which in the meantime pose critical challenges to advanced power retention techniques. Thus, optimal takeoff trajectory design is essential due to immense power demands during eVTOL takeoffs. Conventional design optimizations, however, adopt high-fidelity simulation models in an iterative manner resulting in a computationally intensive mechanism. In this work, we implement a surrogate-enabled inverse mapping optimization architecture, i.e., directly predicting optimal designs from design requirements (including …

Teaming Strategy Optimization: An Analysis Of Nba Statistics, Shot Charts, And Constraints, Shaykh Siddique

All Theses

In the dynamic realm of NBA team management, balancing the intricacies of player performance and strategic signings present formidable challenges. Negotiating salary caps, player roles, on-court minutes, and contract durations requires a nuanced approach. This study comprehensively evaluated player efficiency and team performance, scrutinizing key statistical indicators like Points, Rebounds, Assists, Blocks, PER, RPM, Shot Charts, and others. Leveraging machine learning algorithms, including logistic, ridge, and lasso regressions, facilitated modeling the intricate relationship between player performance and team winning rates. Based on that, incorporating practical constraints yielded diverse and effective teaming strategies. Analyzing NBA player and game statistics from 2012 …

Cardiac Conduction Diseases: Understanding The Molecular Mechanisms To Uncover Targets For Future Treatments, Tingting Li, Qussay Marashly, Jitae A Kim, Na Li, Mihail G Chelu

Faculty, Staff and Students Publications

Introduction: The cardiac conduction system (CCS) is crucial for maintaining adequate cardiac frequency at rest and modulation during exercise. Furthermore, the atrioventricular node and His-Purkinje system are essential for maintaining atrioventricular and interventricular synchrony and consequently maintaining an adequate cardiac output.

Areas covered: In this review article, we examine the anatomy, physiology, and pathophysiology of the CCS. We then discuss in detail the most common genetic mutations and the molecular mechanisms of cardiac conduction disease (CCD) and provide our perspectives on future research and therapeutic opportunities in this field.

Expert opinion: Significant advancement has been made in understanding the molecular …

Inclusive Policy, Diverse Perspectives: Affirmative Action And The Model Minority Among University Students, Jannie Nguyen

Honors Theses

In lieu of the recent Supreme Court overturn of affirmative action, Asian American students were on the forefront as the main racial group defended in this case. The model minority stereotype obscures societal perceptions of Asians and Asian Americans as collectively intelligent, hard-working, and submissive. Whereas the stereotype appears frequently in academic settings, this research aims to understand and contextualize the perceptions on affirmative action among Asian college students within the context and social dynamics of the model minority stereotype. A qualitative approach was deployed to garner nuance narratives of fifteen participants in the study. Participants in the study represent …

Stronger Together: The Intersection Between Sandra Harding And Informal Science Education, Reyt Middleton

Honors Theses

Science literacy is an integral skill to knowledgeably navigate the modern world (Dawson, 2014). However, most science education within the Western world takes place in the settings of formal institutions, which rely on and recreate Western cultural assumptions and biases. In these socially Western institutions, non-Western or non-dominant cultural ways of thinking are systemically replaced with science as a way of knowing (Harding, 1991; Andreotti, 2015). This tendency towards assimilation establishes a barrier for entry, preventing underserved communities or non-dominant perspectives from developing the same science literacy allowed to culturally dominant groups (Harding, 1991; Dawson, 2014). One notable exception to …

Reviving The Past: Enhancing Language Models With Historical Text Optimization, Heather D. Broome

Honors Theses

Recent advancements in Natural Language Processing (NLP) have brought attention to the significant potential that exists for widespread applications of Large Language Models (LLMs). As demands and expectations for LLMs rise, ensuring efficiency and accuracy becomes paramount. Addressing these challenges requires more than just optimizing current techniques; it urges novel approaches to NLP as a whole. This study investigates novel data preprocessing methods designed to enhance LLM performance by mitigating inefficiencies rooted in natural language, particularly by simplifying the complexities presented by historical texts. Utilizing the classical text The Odyssey by Homer, two preprocessing techniques are introduced: tokenization of names …

Association Of Variability And Hypertensive Loads In 24-H Blood Pressure With Mortality And Cardiovascular Risk, Jesus D. Melgarejo, Dhrumil Patil, Luis J. Mena, Kristina P. Vatcheva, Jose A. Garcia, Claudia Satizabal, Carlos A. Chavez, Rosa V. Pirela, Sudha Seshadri, Gladys E. Maestre

School of Medicine Publications

Background: Evidence shows that high 24-h blood pressure (BP) variability increases cardiovascular risk. We investigated whether 24-h BP variability relates to mortality and cardiovascular risk due to inherent variability and/or hypertensive loads in 24-h BP.

Methods: A total of 1050 participants from the Maracaibo Aging Study (mean age, 66y; women, 67.2%) underwent 24-h ambulatory BP monitoring and were followed between 2001-2016. To evaluate inherent BP variability, we used average real variability (ARV) as it captures variability among consecutive BP readings. 24-h systolic BP load was the proportion (%) of systolic BP readings ≥130 mmHg during the daytime and ≥110 during …

The Cooling Impact Of Urban Greening: A Systematic Review Of Methodologies And Data Sources, Saman Galalizadeh, Angus Morrison-Saunders, Pierre Horwitz, Richard Silberstein, David Blake

Research outputs 2022 to 2026

Urban greening is a practical adaptation to improve the liveability of a city by providing urban cooling. This paper systematically evaluates the existing literature to understand the methodologies and associated data sources for determining the cooling effect provided by urban greening. A bibliometric analysis, including research focus parallelship network analysis and keyword co-occurrence network analysis using Gephi and BibExcel, was first performed on 156 articles to identify the main resulting research themes in cooling provided by UGAs. Subsequently, 72 of these were selected to extract more information, such as the focus, the measured parameters, the methods, and tools employed to …

Tungiasis Among Children In Kenya Is Associated With Poor Nutrition Status, Absenteeism, Poor School Performance And High Impact On Quality Of Life, Lynne Elson, Christopher Kamau, Sammy Koech, Christopher Muthama, George Gachomba, Erastus Sinoti, Elwyn Chondo, Eliud Mburu, Miriam Wakio, Jimmy Lore, Marta Maia, Ifedayo Adetifa, Benedict Orindi, Phillip Bejon, Ulrike Fillinger

All Peer-Reviewed Publications

Tungiasis is a highly neglected tropical skin disease caused by the sand flea, Tunga pene-trans. The flea burrows into the skin inducing a strong inflammatory response, leading to pain and mobility restrictions with potential impacts on quality of life. Few countries imple-ment control efforts and there are few data on the impact of the disease to support policy decisions. We conducted a survey to determine the impact of tungiasis among primary school children across nine counties of Kenya. A total of 10,600 pupils aged 8 to 14 years were randomly selected from 97 primary schools and examined for tungiasis. For …

Silver Nanoparticle Biosynthesis Utilizing Ocimum Kilimandscharicum Leaf Extract And Assessment Of Its Antibacterial Activity Against Certain Chosen Bacteria, Horyomba Siaka Ouandaogo, Souleymane Diallo, Eddy Odari, Johnson Kinyu

All Peer-Reviewed Publications

The use of plants in the biological production of silver nanoparticles for antibacterial applications is a growing field of research. In the current work, we formulated Ocimum kilimandscharicum extracts using silver nanoparticles, and evaluated its potential antibacterial activity. Aqueous and methanol plant extracts were used to reduce silver nitrate at different time intervals (30 to 150 minutes) and pH (2 to 11). The UV-visible absorption spectrum recorded for methanol and aqueous extracts revealed a successful synthesis of AgNPs for methanol and aqueous extracts. The antimicrobial activity of the AgNPs was evaluated against Escherichia coli ATCC 25922, Salmonella choleraesuius ATCC 10708, …

Use Of Modelling Tools To Assess Climate Change Impacts On Smallholder Oil Seed Yields In South Africa, Priscilla Ntuchu Kephe, Siyabusa Mkuhlani, Farirai Rusere, Abel Chemura

All Peer-Reviewed Publications

Oil seed crops are the second most important field crops after cereals in the agricultural economy globally. The use and demand for oilseed crops such as groundnut, soybean and sunflower have grown significantly, but climate change is expected to alter the agroecological conditions required for oilseed crop production. This study aims to present an approach that utilizes decision-making tools to assess the potential climate change impacts on groundnut, soybean and sunflower yields and the greenhouse gas emissions from the management of the crops. The Decision Support Tool for Agrotechnology Transfer (DSSAT v4.7), a dynamic crop model and the Cool Farm …

Weighted Ehrhart Theory: Extending Stanley's Nonnegativity Theorem, Esme Bajo, Robert Davis, Jesús A. De Loera, Alexey Garber, Sofía Garzón Mora, Katharina Jochemko, Josephine Yu

School of Mathematical & Statistical Sciences Faculty Publications

We generalize R. P. Stanley's celebrated theorem that the h∗-polynomial of the Ehrhart series of a rational polytope has nonnegative coefficients and is monotone under containment of polytopes. We show that these results continue to hold for weighted Ehrhart series where lattice points are counted with polynomial weights, as long as the weights are homogeneous polynomials decomposable as sums of products of linear forms that are nonnegative on the polytope. We also show nonnegativity of the h∗-polynomial as a real-valued function for a larger family of weights.

We generalize R. P. Stanley's celebrated theorem that the h ⁎ -polynomial of …

Ramanujan Type Congruences For Quotients Of Klein Forms, Timothy Huber, Nathaniel Mayes, Jeffery Opoku, Dongxi Ye

School of Mathematical & Statistical Sciences Faculty Publications

In this work, Ramanujan type congruences modulo powers of primes p≥5 are derived for a general class of products that are modular forms of level p. These products are constructed in terms of Klein forms and subsume generating functions for t-core partitions known to satisfy Ramanujan type congruences for p=5,7,11. The vectors of exponents corresponding to products that are modular forms for Γ1(p) are subsets of bounded polytopes with explicit parameterizations. This allows for the derivation of a complete list of products that are modular forms for Γ1(p) of weights 1≤k≤5 for primes 5≤p≤19 and whose Fourier coefficients …

Local Existence Of Solutions To A Nonlinear Autonomous Pde Model For Population Dynamics With Nonlocal Transport And Competition, Michael R. Lindstrom

School of Mathematical & Statistical Sciences Faculty Publications

Highlights

• Partial differential equation models are ubiquitous in applied sciences.

• A partial differential equation based in ecology is studied for solution existence.

• Energy methods and convergence analysis lead to local classical solutions.

Abstract

In this paper, we prove that a particular nondegenerate, nonlinear, autonomous parabolic partial differential equation with nonlocal mass transfer admits the local existence of classical solutions. The equation was developed to qualitatively describe temporal changes in population densities over space through accounting for location desirability and fast, long-range travel. Beginning with sufficiently regular initial conditions, through smoothing the PDE and employing energy arguments, we obtain a sequence …

Year-Round Co2 Emissions From The Drawdown Area Of A Tropical Reservoir: Strong Seasonal And Spatial Variation, Ícaro Barbosa, José R. Paranaíba, Sebastian Sobek, Sarian Kosten, Rafael M. Almeida, Vitor Duque, Natália Mendonça, Nathan Barros, Raquel Mendonça

School of Earth, Environmental, & Marine Sciences Faculty Publications

Highlights

• Drawdown areas emitted 80% of reservoir CO2 with just 1/5 area.

• Emissions from reservoir shorelines near forests were greater than from areas near grassland.

• CO2 emissions increase with the distance from the water.

• Estimates of reservoir drawdown CO2 flux vary by ∼ 300 % across the seasons examined here.

• There was no discernible difference in CO2 emissions between day and night-time.

• A significant increase in CO2 fluxes was observed 30 min after a rewetting event.

Abstract

A growing body of literature points to drawdown areas as important sources of atmospheric CO2 within reservoirs. Yet seasonal and temporal patterns of …

Dimensional Regularization And Two-Loop Vacuum Polarization Operator: Master Integrals, Analytic Results, And Energy Shifts, Stefano Laporta, Ulrich D. Jentschura

Physics Faculty Research & Creative Works

We Present a Complete Reevaluation of the Irreducible Two-Loop Vacuum-Polarization Correction to the Photon Propagator in Quantum Electrodynamics, i.e. with an Electron-Positron Pair in the Fermion Propagators. the Integration is Carried Out by Reducing the Integrations to a Limited Set of Master Integrals, Which Are Calculated using Integration-By-Parts Identities. Dimensional Regularization is Used in D=4-2ϵ Dimensions, and On-Mass Shell Renormalization is Employed. the One-Loop Effect is Given to Order ϵ, to Be Combined with the 1/ϵ Divergence of the Two-Loop Amplitude. Master Integrals Are Given. Final Evaluations of Two-Loop Energy Shifts for 1S, 2S, and 2P States Are Done Analytically, …

On The Feasibility Of Simple Transformer For Dynamic Graph Modeling, Yuxia Wu, Yuan Fang, Lizi Liao

Research Collection School Of Computing and Information Systems

Dynamic graph modeling is crucial for understanding complex structures in web graphs, spanning applications in social networks, recommender systems, and more. Most existing methods primarily emphasize structural dependencies and their temporal changes. However, these approaches often overlook detailed temporal aspects or struggle with long-term dependencies. Furthermore, many solutions overly complicate the process by emphasizing intricate module designs to capture dynamic evolutions. In this work, we harness the strength of the Transformer’s self-attention mechanism, known for adeptly handling long-range dependencies in sequence modeling. Our approach offers a simple Transformer model, called SimpleDyG, tailored for dynamic graph modeling without complex modifications. We …

Large Language Model Powered Agents In The Web, Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Web applications serve as vital interfaces for users to access information, perform various tasks, and engage with content. Traditional web designs have predominantly focused on user interfaces and static experiences. With the advent of large language models (LLMs), there’s a paradigm shift as we integrate LLM-powered agents into these platforms. These agents bring forth crucial human capabilities like memory and planning to make them behave like humans in completing various tasks, effectively enhancing user engagement and offering tailored interactions in web applications. In this tutorial, we delve into the cutting-edge techniques of LLM-powered agents across various web applications, such as …

Reinforcement Learning With Maskable Stock Representation For Portfolio Management In Customizable Stock Pools, Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

Portfolio management (PM) is a fundamental financial trading task, which explores the optimal periodical reallocation of capitals into different stocks to pursue long-term profits. Reinforcement learning (RL) has recently shown its potential to train profitable agents for PM through interacting with financial markets. However, existing work mostly focuses on fixed stock pools, which is inconsistent with investors’ practical demand. Specifically, the target stock pool of different investors varies dramatically due to their discrepancy on market states and individual investors may temporally adjust stocks they desire to trade (e.g., adding one popular stocks), which lead to customizable stock pools (CSPs). Existing …

Blade Design And Validation Of Hydrokinetic Turbine To Harvest Water Current Energy, Setare Sadeqi

LSU New Orleans Theses and Dissertations

The innovative aspect of this research lies in the careful integration of cutting-edge technologies throughout the entire process of designing, fabricating, and testing the carbon fiber propeller for the 3-bladed horizontal axis ocean current turbine (OCT). SolidWorks software played a pivotal role in the initial design phase, enabling a meticulous and precise modeling of the propeller's geometry. The utilization of SolidWorks allowed for a detailed exploration of various design parameters, ensuring that the propeller's structure and form were optimized for performance in ocean current conditions. Moving beyond the realm of virtual design, the choice of carbon fiber as the fabrication …

Head Impact Measurement Using Piezoelectric Sensors, Huda Abdulla Alnuaimi

Theses

The importance of safety measures cannot be overstated, especially when it comes to protecting the human head. Head injuries can have severe, life-altering consequences, as the head is crucial for controlling the entire body. Unlike machines that store data, the human brain's capacity to retain thoughts and memories can be significantly affected by even a single injury. This thesis introduces a method for predicting the specific area of the head that might be injured during an impact. The prediction is based on the intensity and duration of the impact. The innovation of this thesis lies in the use of piezoelectric …