Digital Commons Network^™

A Comprehensive Systematic Review Of Machine Learning Applications In Assessing Land Use/Cover Dynamics And Their Impact On Land Surface Temperatures, Rasool Vahid, Mohamed Aly

Environmental Dynamics Faculty Publications and Presentations

In a world experiencing rapid urbanization, the phenomenon of land surface temperature (LST) variation has invited substantial attention due to its profound impact on the environment and human well-being. Changes in land use and land cover (LULC) within urban areas significantly influence the dynamics of LST and are a major driver of urban eco-environmental change. The complex connections between LULC dynamics, LST, and climate change are investigated in this systematic review, with a focus on the combined effects of these variables and the use of Machine Learning (ML) techniques. The data in this study, based on peer-reviewed publications from the …

Stratigraphic Evidence Of Backwater Morphodynamics And Lowland River Deltas In The Northern Hemisphere Of Mars, C.M. Hughes, J.B. Shaw, A.M. Fernandes, T.E. Swanson

Geosciences Faculty Publications and Presentations

Backwater morphodynamics describe feedbacks between hydraulics and sedimentation in fluvio-deltaic systems in the coastal backwater zone. On Earth, normalized channel belt width decreases approaching the coastline and drops sharply at the start of the backwater zone. This systematic decrease allows a backwater/belt-width window to be defined, one backwater length upstream from the coast with normalized widths from 2 to 6. We use the backwater/belt-width window to interpret backwater morphodynamics and estimate backwater length on Mars using narrowing channel belts at Aeolis Dorsa. We measure nine belts from martian delta deposits and compare normalized width to distance upstream from an ancient …

Development Of A Near Terahertz Backward Wave Oscillator Using Standard Waveguide, Alexander Glick

Electrical and Computer Engineering ETDs

There is a demand for terahertz (THz) frequency radiation sources. Applications include, but are not limited to, imaging for medical and security purposes, biochemical and organic spectroscopy, and velocimetry. Historically, there was a limited supply of THz devices due to technological limitations. In recent years much progress has been made to reduce this “gap” in supply and demand for THz sources. This work proposes a vacuum electronic device that produces high power, extremely high frequency radiation in the G-band, by utilizing a backward wave oscillator (BWO) based on WR3 standard waveguide. This device is compact, fundamentally simple, and has great …

Applying Ceragenins In Translational Medicine: Activating Mesenchymal Stem Cells And Preventing Healthcare-Associated Infections, Aaron L. Zaugg

Theses and Dissertations

Healthcare-associated infections are a major global concern. Increased infections among vulnerable populations lead to millions of deaths, annually, complicated by the emergence of multi-drug resistant pathogens. These infections are often facilitated by medical devices serving as abiotic surfaces that facilitate the formation of biofilms. Notably, colonization of prostheses and other bone-associated medical devices can lead to corrective procedures, revisions and death. To address these issues, inspiration can be drawn from natural sources of bone health and defenses against infection. Cathelicidins are endogenous peptides involved in both bone maintenance and infection control. Ceragenins are small molecule mimics of cathelicidins with broad …

Linking Static And Dynamic Structures And Properties Of Materials With Computational And Mathematical Models, (Enoch) Sin Hang Ho

Theses and Dissertations

Terahertz (THz) spectroscopy is an effective technique to study and manipulate the structural dynamics of materials, due to its frequency range being very similar to the vibrational frequencies of collective atom motions in a host of materials. High-field and broadband THz radiation can be generated via optical rectification (OR) in nonlinear optical (NLO) crystals. The efficiency of OR response in an NLO crystal is determined by many factors, including molecular hyperpolarizability (β), 2nd order electric susceptibility (χ(2)), crystal structure, primary growth orientation, refractive index, absorption and phase matching condition. In this dissertation, I will focus on using computation methods and …

Uncovering Multiscale Structure-Property Correlations Via Active Learning In Scanning Tunneling Microscopy, Ganesh Narasimha, Deja Kong, Paras Regmi, Rongying Jin, Zheng Gai, Rama Vasudevan, Maxim Ziatdinov

Faculty Publications

Atomic arrangements and local sub-structures fundamentally influence emergent material functionalities. These structures are conventionally probed using spatially resolved studies and the property correlations are deciphered by a researcher based on sequential explorations, thereby limiting the efficiency and scope. Here we demonstrate a multi-scale Bayesian deep-learning based framework that automatically correlates material structure with its electronic properties using scanning tunneling microscopy (STM) measurements in real-time. Its predictions are used to autonomously direct exploration toward regions of the sample that optimize a given material property. This method is deployed on a low-temperature ultra-high vacuum STM to understand the structure-property relationship in a …

From The Amazon To The Andes: Paleoclimatic And Paleoenvironmental Changes Recorded By Sedimentary Biomarkers Since The Late Pleistocene, Alessandro Antúnez De Mayolo Mauceri

Arts & Sciences Graduate Student Theses and Dissertations

The South American tropics encompass some of Earth's most diverse and dynamic landscapes, from tropical glaciers and arid deserts to savannahs, shrublands, and the planet’s largest and most biodiverse rainforest—spread across a vast climatic and topographic gradient. These biomes provide vital natural resources that sustain communities, bolster economies, and serve as key components of the global hydrologic and carbon cycles. Despite their environmental and socioeconomic importance, these tropical systems are highly vulnerable to contemporary and future climate change and its cascading impacts. Adding to this challenge, the scarcity and short duration of instrumental climate records from this region pose major …

Exploring The Very Early Cosmological History With Dark Matter And Primordial Black Holes, Phuc Duc Loc Ngo

Physics & Astronomy ETDs

We explore the possibilities of nonstandard early cosmological histories and their potential roles to explain DM. We study how particle DM is produced with scenarios of early matter domination (EMD), how primordial black holes (PBHs), which could also be a DM candidate in certain mass ranges, are formed with enhanced curvature perturbation or FOPT and the corresponding gravitational wave (GW) signals, how PBHs could increase their mass by accretion during EMD and the corresponding GW signals.

Photo-Crosslinked Persistent Micelle Templates With Near Universal Solvent Compatibility, Coby S. Collins, Mengxue Zhang, Cj Strurgill, Christian X. Ruff, Bryce Melton, Morgan Stefik

Faculty Publications

The controlled preparation of porous nanomaterials from block polymer templates is important for diverse applications from energy devices to optical coatings and sorbents. The architectural dimensions determine the overall performance for many of these applications, however the independent control of these dimensions has remained limited to a narrow range of solvent conditions for kinetically trapped (“persistent”) micelle templates. Polymers with a photo-reactive chemistry are shown to enable cross-linked micelle templates that universally remain persistent under diverse solvent conditions. Specifically, poly(poly(ethylene glycol methacrylate))-b-poly(butyl methacrylate-co-coumarin methacrylate) (OBC) was prepared by RAFT polymerization and the resulting micelles were crosslinked …

The Cellular Mechanisms Of Alzheimer's Disease Protection By The Pilra G78r Variant, Wenhan Cheng

Theses and Dissertations

Microglial dysfunction is increasingly linked to Alzheimer’s Disease (AD). Immune receptors like TREM2 and CD33 play opposing roles in microglial activity. TREM2 activation triggers immunoreceptor tyrosine-based activation motif (ITAM) signaling to promote microglial activities, including amyloid-β clearance, but variants in TREM2 such as R47H that impair its function increase AD risk. In contrast, CD33 is an inhibitory receptor that contains an immunoreceptor tyrosine-based inhibitory motif (ITIM) which transmits signals that suppress microglial function. An AD-protective variant in CD33 alters CD33 activity, potentially enhancing TREM2 function. PILRA is another inhibitory immune receptor expressed by microglia that contains an ITIM. A naturally …

Quantum-Chemical Modeling Of Mechanisms And Selectivity In Open-Shell Organometallic Reactions, Michael T. Davenport

Theses and Dissertations

Quantum mechanical calculations have emerged as a powerful approach for directly evaluating reaction mechanisms and selectivity in transition metal-ligand complexes involving organometallic intermediates. Density functional theory (DFT) quantum mechanical methods enable the generation of potential energy surfaces and structures that define reaction mechanisms and allow for the evaluation of selectivity through statistical transition state theory. However, in certain cases, it is necessary to go beyond statistical treatments and incorporate atomic motion through molecular dynamics simulations. Additionally, many transition metal-mediated reactions involve unpaired electrons and spin state crossings. This dissertation focuses on the application of DFT-derived potential energy surfaces and molecular …

A Systematic Evaluation Of Threaded Internode Communication In Hpc, William Pepper Marts

Computer Science ETDs

High Performance Computing (HPC) applications increasingly rely on both process and thread-level parallelism to maximize performance across complex, multi-node systems. However, conventional bulk synchronous communication strategies often leave both compute and network resources underutilized due to synchronization delays. This dissertation systematically evaluates the potential of fine-grained, threaded inter-node communication as a strategy for reducing these inefficiencies. To this end, I design and develop two tools: the MiniMod modular application framework and the Configurable Messaging Benchmark (CMB), which together enable empirical, reproducible assessment of communication performance across varying application behaviors, threading models, and communication granularities. Through experiments across multiple systems and …

Harboring Change: Legacy Contamination, Plant-Metal Dynamics, And The Fate Of A Boston Marsh, Emma Brooks

Graduate Masters Theses

Coastal wetlands within the Boston Harbor watershed provide numerous ecosystem services and community benefits but are challenged by anthropogenic influence including a legacy of pollution and increasing mean sea level. In this thesis, I will consider the historic and present sources of contamination in Boston Harbor, the role an individual salt marsh species (Salicornia depressa) plays in the movement of heavy metals, and how projected sea level rise and urbanization may affect future marsh viability. These complex issues are explored through a case study of Pattens Cove, a 9.6-acre parcel of state-managed land in Dorchester, MA home to …

Association Between Dietary Inflammatory And Antioxidant Potential And Systemic Inflammatory And Oxidative Status With The Risk And Severity Of Coronary Artery Disease, Zahara Namkhah, Elham Alipoor, Manhnaz Salmani, Negar Ebrahimi, Monireh Ahmadpanahi, Ali Vasheghani-Farahani, Mehdi Yaseri, Michael David Wirth, Longgang Zhao, James Hébert Scd, Javad Hosseinzadeh-Attar

Faculty Publications

Background and aims

Unhealthy diets have pro-inflammatory properties that have been shown to contribute to coronary artery disease (CAD). The dietary inflammatory index (DII®) and the dietary antioxidant quality score (DAQS) quantify the anti-/pro-inflammatory and antioxidant potential of a diet. This study aims to investigate the association between the energy-adjusted DII (E-DIITM), DAQS, oxidant/anti-oxidant biomarkers, and CAD risk and severity.

Methods and results

This cross-sectional study investigated 158 participants for the presence and severity of CAD based on coronary angiography. E-DII and DAQS scores, malondialdehyde (MDA), total oxidant status (TOS), glutathione peroxidase (GPX) activity, total antioxidant capacity (TAC) and conventional …

Topic Shift Detection And Triggering In Natural Dialogue Systems: A Lightweight Approach, Rohith Perumandla

College of Computing and Digital Media Dissertations

This research address a key challenge in dialogue system: enabling the proactive, human-like shifting using lightweight approaching using MobileBERT (~25M) model was proposed and fine-tuned for topic shift detection, augmented with liguistic featuers for for topic trigger detection. Despite its smaller size (~25M parameters), the MobileBERT-based system achieved competitive results (F1 = 74.16%,) compared to the much larger XLNet model (~110M parameters, F1 = 79.95%), while offering greater efficiency. The topic trigger module, combining MobileBERT with linguistic features, further demonstrated effective performance (F1 = 71.61%).

Proceedings Of The Cuny Games Conference 11.0, Robert O. Duncan, Grace Axler-Diperte, Joe Bisz, Christina Boyle, Devorah Kletenik, Carolyn Stallard

Publications and Research

The CUNY Games Conference combines workshops, idea exchanges, interactive participant presentations, playtesting, and playing tabletop games into a one-day online event to promote and discuss game-based learning. The conference focuses on creative pedagogy, such as playful learning activities or games, that teachers can use in the classroom every day. The conference is online and features interactive presentations by attendees, informal idea exchange sessions, and workshops by the conference organizers.

The Discovery, Communication, And Implementation Of New Geologic Findings: Examining The Cascadia Earthquake, Saylor Brainard

University Honors Theses

The Cascadia Subduction Zone, located off the Coast of the Pacific Northwest, is at risk of generating a 9.0 magnitude earthquake in the near future. Despite its significance, the discovery of the seismic potential of Cascadia didn't occur until 1987, when geologist Brian Atwater searched for non-traditional forms of earthquake evidence. As decades of continued research fleshed out Atwater's initial discovery, the implications associated with the discovery became apparent, presenting Washington and Oregon with the high probability that a massive earthquake will take place within the next century. Communicating the severity of this geologic discovery to both the public and …

Exploring Character-Level Attacks On Neural Ranking Models, Surjyanee Halder

Master’s Dissertations

Neural ranking models (NRMs) have achieved state-of-the-art performance in information retrieval, yet they remain highly susceptible to subtle adversarial inputs such as character-level typos. This project explores the robustness of such systems by introducing a reinforcement learning (RL)-based query perturbation framework. RL agents—PPO, DQN, and A2C—were trained to minimally modify user queries (e.g., through character deletions or swaps) with the goal of significantly altering the resulting document rankings, as measured by Kendall’s Tau. Experiments were conducted on the TREC DL 2019 and 2020 benchmarks using two different neural rankers: Mini LM and a fine-tuned Character BERT model. The perturbation attacks …

Explaining Query Expansion Algorithms, Aditya Dutta

Master’s Dissertations

Query Expansion (QE) techniques aim to mitigate vocabulary mismatch in Information Retrieval by augmenting user queries with related terms. However, their effectiveness varies across queries. This work investigates the explainability of QE by leveraging the concept of an Ideal Expanded Query (IEQ): a hypothetical query yielding near-perfect retrieval performance, measured via Average Precision (AP). We hypothesize that the closer an Expanded Query (EQ) variant is to the IEQ, the higher its AP. Our approach consists of three major components: (i) generating an IEQ, (ii) measuring the similarity between an EQ and an IEQ, and (iii) computing the correlation between the …

Pvc Biodegradation Potential Of Native Fungal Strains From Mt. Hood National And Tillamook State Forests, Bristol Ozturgut

University Honors Theses

Polyvinyl chloride (PVC) is a toxic, degradation-resistant environmental waste product. Recent research has revealed fungal enzymatic activity capable of biodegrading plastics. As PVC infiltrates local environments, it becomes imperative to determine the adaptability of local fungi to PVC substrates. In this experiment, 100 local native fungal strains sampled from the Tillamook State and Mt. Hood National forests and one commercial strain of common oyster mushroom were investigated for their ability to colonize and digest PVC by direct isolation on 0.1% and 0.2% PVC-enriched limited growth media. Substrates for positive cultures were imaged using Fourier transform infrared spectroscopy to analyze potential …

Characterization Of The Quaternary Active Twin Lakes Fault, Mount Hood, Oregon, Johnathan Peterson

University Honors Theses

The High Cascades chain of volcanoes results from Cascade Arc volcanism and is responsible for the generation of the highest topography in the state of Oregon. Surrounding Mt. Hood at the crest of the Cascade chain in northern Oregon is the Mt. Hood Fault Zone, an extensional fault zone of generally north-south trending normal faults that down-drop this high volcanic topography. The Twin Lakes Fault is located just south of Mt. Hood and is one of the southernmost faults in the Mt. Hood Fault Zone, previously mapped as approximately 12-13 km in length. This study provides the first in-depth characterization …

Revitalization Of Endangered Languages With Ai, Ivory Yang

Dartmouth College Master’s Theses

The preservation and revitalization of endangered languages, particularly those with minimal digital presence, presents significant challenges for computational linguistics. This thesis addresses these challenges by proposing novel methods for language identification and data generation, focusing on underrepresented Indigenous languages, specifically Nüshu, Native American and Native Alaskan languages.

In the first study, a COLING 2025 paper, we present NüshuRescue, an AI-driven framework designed to facilitate the preservation of Nüshu, an endangered script used exclusively by Yao women in China. Using minimal seed data, we demonstrate how GPT-4-Turbo can generate new translations, expanding a publicly available Nüshu-Chinese corpus, achieving 48.69% accuracy in …

Cutting-Edge Methods For Analyzing Student Behavior In Educational Settings: A Review, Shatha Talib Rashid, Hasanen S. Abdullah

Journal of Soft Computing and Computer Applications

The ability to predict students' performance in educational settings like schools and universities is crucial. A key objective of this effort is to increase academic outcomes and prevent dropout rates, among other benefits. Automating student activities, encouraged by information collected from any technology-based learning tool, has an important role in the process here. Those big quantities of information ought to be completely studied theoretically and processed for gaining worthy insights concerning a student's background as well as interacting with scientific missions, facilitating the development of advanced ways and algorithms to predict students' performance. The current study reviews several contemporary mechanisms …

Elemental Analysis Of Sediments In Johnson County, Kansas: Applications In Fluvial Suspended Sediment Tracing, Kiena Campbell

Undergraduate Theses, Capstones, and Recitals

This exploratory study investigates whether bulk elemental analysis of sediment samples using inductively coupled mass spectrometry (ICP-MS) can reveal chemical signatures that identify anthropogenic contributions to sedimentation and increased fluvial suspended sediment loads, and whether these contribution sources can be identified. Human activity, urbanization, and changes in land use increase erosion, resulting in higher-than-natural suspended sediments (SS) in waterways and increasing sedimentation in reservoirs across the state of Kansas. These threats to freshwater storage capacity are especially urgent given the projected rise in freshwater demand in the Great Plains region driven by climate change. Understanding the origin of anthropogenic SS …

Machine Learning: Neural Networking With Relu And Optimization, Aidan Redmond Brownell

Undergraduate Theses, Capstones, and Recitals

At its core, learning is an algorithmic process: it begins with input data, undergoes a series of transformations or computations, and yields an output intended to solve a specific task. This output is then compared against a target or desired result, and the internal mechanisms are updated based on how well the output aligns with expectations. While this feedback-driven process occurs almost effortlessly in humans, it is a far more structured, deliberate, and computationally intensive undertaking for machines.

Basic Theory And Implementations Of Quantum Error Correction, Derek Rodriguez

Undergraduate Theses, Capstones, and Recitals

The introduction of quantum computing has presented algorithmic solutions to computationally difficult challenges that are far more efficient than those of classical computers. These algorithms leverage the properties of quantum mechanics to manipulate the quantum properties of subatomic particles, requiring immense precision and stability. Current quantum hardware, however, is too noisy and introduces too many errors for these algorithms to be useful in practice, necessitating the use of error correction algorithms. This field survey seeks to introduce various principles of quantum mechanics relevant to quantum computing and quantum error correction (QEC), detail the implementation and motivations of a basic QEC …

Analyzing Human - Nonhuman Primate Conflict Mitigation Techniques In Mto Wa Mbu, Northern Tanzania, Lil Adams

Undergraduate Theses, Capstones, and Recitals

Human-wildlife conflict is a widespread challenge faced by those living in regular contact with wildlife that can have profound impacts on livelihood outcomes for humans, wildlife, and their shared environment (Barua et al., 2013; Blackie, 2023). Human – non-human primate conflict is particularly crucial due to primates’ high capacity to live among human populations (Chapman & Chapman, 1990; Alberts & Altmann, 2006; Reader et al., 2011; Sinha & Vijayakrishnan, 2017), and is currently on the rise due to increasing contact between human and non-human primates (Hockings, 2016; Uddin et al., 2020). To characterize and analyze techniques currently being used to …

Aspects-Based Sentiment Analysis Of Extreme Weather On Twitter Using Long Short-Term Memory, Tursun Abdurahmonov, Muhammad Nabil Toby Abiyyu, Dzikru Nur Khayat, M. Ary Heryanto

Journal of Informatics and Web Engineering

This study presents an aspect-based sentiment analysis of tweets related to extreme weather events in Indonesia, utilizing the Long Short-Term Memory (LSTM) model. The dataset was obtained through a Twitter crawling process, followed by a series of preprocessing steps including data cleaning, stop word removal, normalization, tokenization, and stemming. The three primary areas of emphasis in the study were kinds of bad weather forecasts, and the government or society reactions. Using a lexicon-based technique, sentiment labelling generated three groups: positive, neutral, and negative. A random oversampling method was employed to address the data imbalance. The model using the LSTM algorithm …

Sentiment Analysis And Topic Modelling On Twitter Related To Mobile Legends: Bang Bang Game Using Lexicon-Based, Lda, And Svm, Hikmal Muhammad, Fauzi Adi Rafrastara, Kristoforus Adrian Setiadi, Arley Japardi

Journal of Informatics and Web Engineering

Mobile Legends: Bang Bang (MLBB) has become a significant phenomenon within the global e-sports landscape, attracting millions of active players and fans. This study presents a comprehensive sentiment analysis and topic modelling of MLBB-related discussions on Platform Twitter, combining a lexicon-based approach, Latent Dirichlet Allocation (LDA), and Support Vector Machine (SVM) classification within a unified analytical pipeline. A dataset of 4,313 tweets was analysed, revealing that 70.8% expressed neutral sentiment, suggesting that much of the community's communication is informational rather than emotionally charged. Positive sentiments were associated with game content updates and rewards, while negative sentiments focused on technical and …

Performance Benchmarking: Pre-Trained Models And Custom Convolutional Neural Networks In Deep Learning, Sheemona Joseph C., S. Ganesh, S. Kannadhasan, K. Selvipriya

Journal of Informatics and Web Engineering

Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffic signs—a crucial task for autonomous vehicles (AVs) and advanced driver assistance systems (ADAS). These technologies' ability to accurately recognize traffic signs enables them to make informed decisions in real time, thereby elevating the standard for overall driving safety. The study uses a large, annotated dataset of images of traffic signs to train and assess the CNN model. We developed a model that can recognize a large number of traffic lights, …