Digital Commons Network^™

Low-Energy Multi-Photon Scattering At Tree-Level And One-Loop Order In A Homogeneous Electromagnetic Field, Ivan Ahumada, Patrick Copinger, James P. Edwards

School of Engineering, Computing and Mathematics

We study low energy photons coupled to scalar and spinor matter in the presence of an arbitrary homogeneous electromagnetic field in a first-quantised (worldline) approach. Utilising a Fock-Schwinger gauge for both the scattering photons and homogeneous background, simple compact expressions are found for both the photon- and background-dressed effective action and propagator in scalar and spinor quantum electrodynamics. The low-energy limit allows identification of the coupling of the scattering photons as one of an effective homogeneous superposition of their field strengths, with amplitudes following from application of a suitable linearisation operator. To treat the linearisation, several techniques are employed, including …

In Vitro Α-Glucosidase Enzyme Inhibition Activity Test Of Water Extract From Sintok (Cinnamomum Sintoc Blume) Bark, Astrella Amanda Putri Saksono, Inana Ratu Soripada Simanjuntak, Mariana Wahjudi, Marisca Evalina Gondokesumo

Pharmaceutical Sciences and Research

Diabetes mellitus is a condition characterized by elevated blood glucose levels beyond the normal limits. One therapeutic approach for managing diabetes mellitus involves inhibiting the α-glucosidase enzyme, which plays a role in glucose absorption in the body. However, the use of oral antidiabetic drugs from the α-glucosidase inhibitor class often causes gastrointestinal side effects. Therefore, exploring natural materials as alternative treatments is a promising option. In Indonesia, one plant with potential as an alternative treatment is sintok (Cinnamomum sintoc Blume), a member of the Cinnamomum genus, which is widely utilized in traditional medicine for chronic diseases such as …

Learning From Conditional Data Distributions, Jizhou Huang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Traditional machine learning paradigms often rely on a single global model trained on an entire dataset, aiming for broad generalization across all instances. However, in many real-world applications, the underlying data distribution is heterogeneous, and meaningful predictions often require models that focus on specific subpopulations rather than treating the data as a whole. This motivates the study of learning from conditional distributions, a framework where predictive models are designed to capture the structure and properties of restricted subsets of the data, leading to improved accuracy, fairness, and interpretability. This dissertation explores three key subproblems that exemplify different aspects of learning …

The Constellation Of American Voters: Understanding Americans Who Live In And Out Of American Municipalities, Jordan Duffin Wong

Arts & Sciences Graduate Student Theses and Dissertations

More than 130 million Americans live in unincorporated areas, or the spaces outside the boundaries of cities, towns, and villages. Despite this, relatively little attention has been paid to whether, how, and why residents of unincorporated areas differ from their municipality-dwelling counterparts. In this dissertation, I explore the answers to these questions by establishing a new theoretical framework that rigorously defines, bounds, and partitions unincorporated space. Drawing on the near-universe of American voters, I illustrate, with unparalleled precision, where and how Americans have sorted into and out of municipalities, and show that different mechanisms drive these phenomena. Furthermore, I explore …

Beyond Memorization: Developing Three-Dimensional Assessments For Earth Science Through The Carbon Cycle Unit, Stephanie Kay

Masters Projects

This Master's project addresses the critical need for improved assessment strategies in science education, particularly within the context of the Next Generation Science Standards (NGSS). Traditional summative assessments, often relying on multiple-choice or fill-in-the-blank questions, frequently fail to evaluate students' higher-level thinking and comprehensive understanding as required by the NGSS's three-dimensional learning framework (science and engineering practices, crosscutting concepts, and disciplinary core ideas). This disconnect can hinder accurate student knowledge evaluation and limit the development of essential 21st-century skills like critical thinking, problem-solving, and collaboration. The project aims to enhance effective assessment by developing a high school Earth Science unit …

Investigation Into Intraocular Pressure Distribution Via Computer Aided Engineering (Cae), Madison Maureen Hinman

Masters Theses

The leading cause for irreversible blindness and vision loss is glaucoma - an eye condition associated with elevated intraocular pressure (IOP). Increased IOP is also seen during other pathological conditions like spaceflight-associated neuro-ocular syndrome (SANS), and non-pathological conditions as when playing a wind instrument. The study aimed to describe the influence of different vitreous cavity size as well as vitreous fluid viscosity on the IOP as measured at the back of the eye on the retina. Improved understanding of eye pressure transmission can aid in a better understanding of eye diseases. The experiment conducted included cavities of varying size and …

Gene Regulatory Network Prediction Using Machine Learning, Deep Learning, And Hybrid Approaches, Sai Teja Mummadi, Md Khairul Islam, Victor Busov, Hairong Wei

Michigan Tech Publications

Construction of gene regulatory networks (GRNs) is essential for elucidating the regulatory mechanisms underlying metabolic pathways, biological processes, and complex traits. In this study, we developed and evaluated machine learning, deep learning, and hybrid approaches for constructing GRNs by integrating prior knowledge and large-scale transcriptomic data from Arabidopsis thaliana, poplar, and maize. Among these, hybrid models that combined convolutional neural networks and machine learning consistently outperformed traditional machine learning and statistical methods, achieving over 95% accuracy on the holdout test datasets. These models not only identified a greater number of known transcription factors regulating the lignin biosynthesis pathway but also …

Selected Prose And Poetry, Ralph Waldo Emerson

Hannah Arendt Marginalia - All

New York, Rinehart [1950]

Call #: PS1602 .C6

Contains light underlining

PDF Information: 18 pages – 797KB

The Prophet Armed: Trotsky, 1879-1921, Isaac Deutscher

Hannah Arendt Marginalia - All

New York : Oxford University Press, 1954.

Call #: DK254.T6 D4

Arendt copy contains marginalia, underlining, marginal lining and endpaper notes

PDF Information: 143 pages – 11.7 MB

Using A Layered Ensemble Of Physics-Guided Graph Attention Networks To Predict Covid-19 Trends, Connie Sun, Vijayalakshmi Kumarasamy, Yu Liang, Dalei Wu, Yingfeng Wang

UTC Spring Research and Arts Conference

The COVID-19 pandemic has rapidly disseminated worldwide, profoundly impacting numerous nations. Accurately forecasting the trajectory of COVID-19 across various scales is crucial for informing public health decisions. However, existing forecasting models primarily operate at the state or country level. Conventional mathematical models face limitations due to oversimplified assumptions, while machine learning algorithms struggle to extrapolate novel trends. This underscores the necessity for hybrid machine learning models that amalgamate domain expertise to enable precise long-term predictions. In response, we propose a sophisticated three-layered ensemble, tailored to geographical insights and fostering extensive peer learning. Our framework aims to forecast COVID-19 trends at …

Machine Learning For Reparameterization Of Molecular Dynamics Water Model To Accurately Capture Electrical And Thermal Behavior, Khowshik Dey, Murat Barisik, Yu Liang

UTC Spring Research and Arts Conference

Water is an important component in many scientific and engineering applications, but precisely modeling its thermal, electrical, and physical properties remains difficult in molecular dynamics (MD) simulations. The widely used TIP4P water model, while useful in many circumstances, requires parameterization to better agreement with experimental results under various conditions. In this study, interpretable machine learning techniques were used to systematically tune the TIP4P model parameters where mathematical relationship between features and targets has been developed using deep symbolic optimization (DSO), resulting in a more accurate depiction of water behavior in molecular dynamics simulation. A data-driven approach was created to optimize …

Assessing The Fidelity Of Ai-Generated Lessons For Elementary-Grades Stem Topics, Deborah Mcallister

UTC Spring Research and Arts Conference

Teachers collaborated using MagicSchool, an AI tool, for generating lesson plans for elementary-grades mathematics, science, and technology topics. The lessons were evaluated for fidelity to content and lesson plan components. The problem to be answered was two-fold: What is the fidelity of AI-generated lessons for elementary-grades STEM topics? What are teacher perceptions of using an AI tool? Teachers evaluated the standards-based, AI-generated lesson plans. Scores for lesson plans were compared by content area (mathematics, science, technology) and elementary level (lower versus upper) to determine if fidelity is better for a particular content area or level. Teacher perceptions, regarding the use …

Modeling The Dynamics Of User Adoption And Abandonment For A Single Product, Uyen Nguyen

UTC Spring Research and Arts Conference

We introduce a compartmental differential equation model to study the dynamics of user adoption and abandonment for a single product. The model integrates two forms of abandonment: infectious, driven by user interactions, and non-infectious, prompted by external influences. Notably, the infectious abandonment coefficient varies linearly with the number of previous users. We investigate the existence of equilibria of the model and derive the threshold quantity ℛ0. The user-free equilibrium is always present, and its stability is analyzed under the condition ℛ0 < 1. Moreover, a user-prevailing equilibrium does not exist when ℛ0 ≤ 1, but at least one user-prevailing equilibrium is guaranteed when ℛ0 > 1. We further characterize conditions for multiple equilibria and various bifurcations, including saddle-node, 𝑆-shaped, and Hopf bifurcations, and formulate …

Risk-Averse Decision-Making In Multiobjective Combinatorial Optimization, Chathuri M. Aththanayake, Lakmali Weerasena

UTC Spring Research and Arts Conference

Uncertainty in input data significantly affects the quality of solutions in mathematical optimization, making it crucial to explore alternative decisions when the selected decision becomes unavailable or suboptimal. This study introduces a novel risk-averse decision-making approach for cases where objective function coefficients are uncertain in multi-objective combinatorial optimization problems. We construct a region in the objective space based on reference solutions obtained from the deterministic formulation. Alternative decisions, identified using a neighboring structure that falls within this region, are used to determine risk-preference solutions. We propose two sets of indices to quantify the quality of outcomes and neighboring decisions in …

Forced Labor In Soviet Russia, David J. Dallin, Boris I. Nikolaevsky

Hannah Arendt Marginalia - All

New Haven, Yale University Press, 1947

Call #: HV8931.R8 D3

contains underlining, marginal lining and endpaper notes (front of book)

PDF information: 35 pages – 3.1 MB

On World-Government, Or De Monarchia, Dante Alighieri

Hannah Arendt Marginalia - All

New York : The Liberal Arts Press, c1957

Call #: PQ 4315.62 .S3 1957

Contains marginalia & underlining

PDF Information: 31 pages – 12 MB

The Philosophical Works Of Descartes Vol. 1, René Descartes

Hannah Arendt Marginalia - All

Cambridge : University Press, 1977 reprinting, c1931

Call #: B1837 .H254 1977

Arendt copy v.1-2 contains underlining, marginal lining and endpaper notes.

PDF Information: 24 pages – 8 MB

Extended-Release Buprenorphine With Bupivacaine Effectively Provides Postoperative Analgesia In A Mouse Laparotomy Model, Monika K. Huss, Amber Kerk, Renee Cotton, Helen Chum, Michael Hsieh, Katechan Jampachaisri, Patrick Sharp, Cholowat Pacharinsak

The Thai Journal of Veterinary Medicine

Multimodal analgesia is widely encouraged for major survival surgery. This facilitates lower doses of individual drugs, thereby reducing side effects. Extended-release analgesics offer sustained analgesia coverage, prevent drug dosing nadirs, and reduce stress. Studies evaluating multimodal and extended-release analgesia combinations for major survival surgery in mice are limited. We compared the analgesic effect of bupivacaine and extended-release buprenorphine (Bupi-ER) to bupivacaine and buprenorphine HCl (Bupi-HCl). We hypothesized that preoperative Bupi-ER would provide more effective analgesia than Bupi-HCl. Mice were randomly assigned to 1 of 2 treatment groups: bupivacaine (2 mg/kg, local infiltration, once) with either 1) extended-release buprenorphine (0.6 mg/kg, …

The Unwritten Philosophy And Other Essays, Francis M. Cornford

Hannah Arendt Marginalia - All

Cambridge: University Press, 1950

Call #: B1618.C763 U5

Contains underlining and marginal lining

PDF Information: 46 pages – 27.7 mb

Plato’S Republic; A Philosophical Commentary, R. C. Cross

Hannah Arendt Marginalia - All

New York, St. Martin’s Press, 1964

Call #: JC71.P6 C68

Contains gift inscription “To Heinrich Bluecher – Margarite Fisher”; also contains marginalia

PDF Information: 30 pages – 1,980KB

Tusculan Disputation, Marcus Tullius Cicero

Hannah Arendt Marginalia - All

Cambridge, Mass., Harvard University Press, 1950

Call #: PA6156.C6 T6 1950

Contains underlining, marginal lining and endpaper notes.

PDF Information: 27 pages – 6 MB

The Rebel, Albert Camus

Hannah Arendt Marginalia - All

New York, Vintage Books, 1956

Call #: HM281 .C3513 1956

Arendt copy contains marginalia, including front and endpaper notes.

PDF Information: 112 pages – 12.9MB

An Essay On Man, Ernest Cassirer

Hannah Arendt Marginalia - All

Garden City, NY: Doubleday, 1953 [c1944]

Call #: B3216.C33 E8 1953

Marginalia , underlining and marginal lining

PDF Information: 14 pages – 4 MB

Substance And Function And Einstein’S Theory Of Relativity, Ernest Cassirer

Hannah Arendt Marginalia - All

New York: Dover Publications, 1953

Call #: BD221 .C3 1953

Contains underlining and endpaper notes, and contained ephemera found between pp. 408-409: a German language newspaper (Nr. 52 Weihnachten 1960).

PDF Information: 18 pages – 8 mb

Retracted: Dynamics And Stability Analysis Of 8-Dimensional Hyperchaotic Systems: Study Of Lyapunov Exponents, Abdulsattar Abdullah Hamad, Nida Muhsin Ali, Muayyad Mahmood Khalil

Iraqi Journal for Computer Science and Mathematics

This research explores the complex dynamics of an 8D hyperchaotic system, focusing on its trajectory stability and behavior under various control parameters. By using numerical simulations, we investigate the relationship between the Lyapunov components and the stability of the system. It provides a quantitative measure of the chaos within the model of the matrix, whose derivation consists of the system's sensitivity to perturbation, simulating chaotic systems in high dimensions faces challenges such as high computational resource demands. Difficulty in ensuring numerical convergence and stability. The results highlight the profound impact of control parameters on the dynamic behavior of hyperchaotic systems. …

Corneal Elevation Maps Patterns Classification Using Correlation Method, Sura M. Ahmed, Nebras H. Ghaeb, Salman Yussof, Noor T. Al-Sharify, Husam Yahya Nser, Zainab T. Al-Sharify, Ong Hang See, Leong Yeng Weng

Iraqi Journal for Computer Science and Mathematics

The ophthalmologist uses various techniques to diagnose corneal abnormalities, including corneal topography and tomography devices. Currently generated color corneal elevation surface maps from topographic imaging devices are essential for detecting ocular diseases, while accurately classifying these maps to differentiate between different shapes remains an issue. This study aims to assess and compare parameters of the front and back corneal surface elevation map patterns of normal/abnormal corneas. Two hundred cases were randomly taken (100 normal and 100 abnormal) with a single normal reference image, and then an additional 25 cases were added later for the optimization process. The preprocessing of all …

Retracted: Comparative Study Based On Continuous Analysis Of Autism Spectrum Disorder Using Advanced Deep Learning With Model Interpretability Insights, Ayan Sar, Hussain Falih Mahdi, Sumit Aich, Pranav Singh, Tanupriya Choudhury

Iraqi Journal for Computer Science and Mathematics

Hysterical conversion has similar cognition and behaviours to those in the case of ASD; it is, therefore, complex when diagnosing and classifying the condition. The majority of employed diagnostic tests are cross-sectional and fail to describe the developmental and clinical features of ASD; for this reason, they are pretty inaccurate in the diagnosis of ASD and thus cause disparities in the efficiency of the therapeutic interventions used. The present study's research contribution is a new application of deep learning that aims to analyse the spectrum of ASD with gradient-based classifications. In this case, we use a DL model trained on …

Multiclass Cyberbullying Detection Using Advanced Neural Network Architectures: A Comparative Study Amidst The Covid-19 Pandemic, Mahyar Alinejad

Data Science and Data Mining

Amidst the COVID-19 pandemic, the digital communication landscape has seen an unprecedented rise in cyberbullying incidents. Addressing this critical issue, our study develops and evaluates a novel multiclass cyberbullying detection framework employing several advanced neural network architectures—namely Neural Networks (NN), Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRU). Utilizing a balanced dataset created through Dynamic Query Expansion, this research benchmarks the performance of these models in accurately classifying cyberbullying according to specific victim attributes such as age, ethnicity, gender, and religion. Our results demonstrate that LSTM and GRU models, in particular, exhibit superior performance …

Multiclass Cyberbullying Detection Using Advanced Neural Network Architectures: A Comparative Study Amidst The Covid-19 Pandemic, Mahyar Alinejad

Data Science and Data Mining

Amidst the COVID-19 pandemic, the digital communication landscape has seen an unprecedented rise in cyberbullying incidents. Addressing this critical issue, our study develops and evaluates a novel multiclass cyberbullying detection framework employing several advanced neural network architectures—namely Neural Networks (NN), Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRU). Utilizing a balanced dataset created through Dynamic Query Expansion, this research benchmarks the performance of these models in accurately classifying cyberbullying according to specific victim attributes such as age, ethnicity, gender, and religion. Our results demonstrate that LSTM and GRU models, in particular, exhibit superior performance …

Computational And In Vitro Investigation Of P. Crocatum Bioactive Compounds As Pancreatic Lipase Inhibitors, Gusnia Meilin Gholam, Dimas Andrianto, Dewi Anggraini Septaningsih, Mega Safithri

Karbala International Journal of Modern Science

Obesity, a prevalent metabolic disorder characterized by excessive fat accumulation, can severely affect overall health if left untreated. This study investigated the potential of a 70% ethanol extract from Piper crocatum (red betel) leaves as an in vitro inhibitor of pancreatic lipase (PL), supported by computational analyses to identify alternative compounds to orlistat. The phytochemical profile was characterized using LC-MS/MS, revealing alkaloids and terpenoids with contents of 1.1 ± 0.01 mg CE/g and 3.14 ± 0.3 mg UAE/g, respectively. The extract exhibited 49 ± 9.1% inhibition of PL activity. Molecular docking identified three promising compounds: calanolide A (10.43 kcal/mol), myricanone …