Digital Commons Network^™

The Possessed, Fyodor Dostoyevsky

Hannah Arendt Marginalia - All

New York : The Modern Library, 1963

Call #: PG3326 .B6 1963

Contains marginalia, underlining, marginal lining and endpaper notes

PDF Information: 170 pages – 12.7 MB

Problems Of Men, John Dewey

Hannah Arendt Marginalia - All

New York, Philosophical library, 1946

Call #: B945.D43 P7

Contains underlining and endpaper notes.

PDF Information: 26 pages – 10.9mb

The New Class; An Analysis Of The Communist System, Milovan Djilas

Hannah Arendt Marginalia - All

New York, Praeger 1957

Call #: HX365.5 .D49

Contains marginalia, underlining and marginal lining

PDF Information: 97 pages – 10.1 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 …

Pretty Dangerous: The Romanticization Of Grooming In Pretty Little Liars, Katherine G. Johnson, Emma Grace Gilland

UTC Spring Research and Arts Conference

Sexual grooming is the deliberate manipulation of a minor by an adult to reduce their sensitivity to sexual contact, with the specific aim of perpetrating child or adolescent sexual abuse (Winters, 2022). Prevalence rates for sexual grooming vary; however, a recent study by Winters and Jeglic (2022) found that approximately 24% of their sample of undergraduate student sample reported experiencing sexual grooming as a minor. These predatory behaviors were prominently featured between lead adolescent and adult characters throughout the popular television show, Pretty Little Liars. This raises concerns about how such behaviors might be perceived when portrayed in popular media …

Advancements In Gunshot Detection: Ai, Iot, And Deep Learning For Real-Time Response, Vijayalakshmi K Kumarasamy, Anitha Anandhan, Yu Liang, Dalei Wu

UTC Spring Research and Arts Conference

Gun violence is a growing public safety concern, highlighting the need for fast and accurate gunshot detection systems (GDS) to support real-time law enforcement response. This review explores the integration of deep learning (DL), artificial intelligence (AI), and the Internet of Things (IoT) in enhancing GDS performance. It summarizes recent advances ranging from physics-based acoustic modeling to data-driven methods like CNNs, RNNs, and hybrid neural networks, along with edge-based IoT frameworks for low-latency alerts. The review also examines challenges such as differentiating gunshots from similar sounds, ensuring robustness across environments, and addressing surveillance-related privacy concerns. Case studies from urban, indoor, …

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 …

Quantum Mechanical Insights Into Heterogeneous Surface Reactions In Chemical Vapor Infiltration, Atal Bhowmik

UTC Spring Research and Arts Conference

This study investigates the decomposition mechanism of Methyl trichlorosilane during Silicon Carbide (SiC) deposition during Chemical Vapor Infiltration (CVI). High-performance applications require SiC-based ceramic matrix composites (CMCs); however, producing them presents difficulties due to limited deposition rates, high energy consumption, and uneven coatings. To overcome these challenges, the mechanism of SiC formation must be understood completely. Modeling surface reactions of MTS decomposition on the SiC substrate using density functional theory (DFT) calculations with the Vienna Ab initio Simulation Package (VASP) is the key point of current research. By focusing on the adsorption, reaction, and desorption mechanisms that control SiC development, …

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 …

St. Augustine: His Age, Life, And Thought, M. D. D'Arcy

Hannah Arendt Marginalia - All

Meridian Books, New York, 1957

Call #: BR1720.A9 M55 1957

Contains marginalia, underlining, and marginal lining.

PDF Information: 9 pages - 1.93 MB

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 Survivor: An Anatomy Of Life In The Death Camps, Terrence Des Pres

Hannah Arendt Marginalia - All

New York : Oxford University Press, 1976

Call #: D810.J4 D474 1976

Contains edited markings, marginalia, and is an advance proof copy that is uncorrected

PDF Information: 69 pages – 4.6MB

The Philosophical Works Of Descartes Vol. 2, 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: 10 pages – 3 MB

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

Crisis At Columbia: Report Of The Fact-Finding Commission Appointed To Investigate The Disturbances At Columbia University In April And May, 1968, Columbia University Fact Finding Commission, Archibald Cox

Hannah Arendt Marginalia - All

New York : Vintage Books, [1968]

Call #: LD1256 .F3

Contains underlining & marginal lining

PDF Information: 48 pages – 3.3 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

Christianity And Classical Culture: A Study Of Thought And Action From Augustus To Augustine, Charles Norris Cochrane

Hannah Arendt Marginalia - All

London, New York [etc.] Oxford University Press, 1944

Call #: BR170 .C6

Contains marginalia, underlining and marginal lining.

PDF Information: 78 pages – 36 MB

Unless Peace Comes; A Scientific Forecast Of New Weapons, Nigel Calder

Hannah Arendt Marginalia - All

New York, Viking Press, 1968

Call #: U104 .C155 1968

Contains underlining and marginal lining.

PDF Information: 48 pages – 19mb

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

The Myth Of The State, Ernest Cassirer

Hannah Arendt Marginalia - All

Garden City, NY: Doubleday, 1955

Call #:JC251 .C3 1955

Contains marginal lining

PDF Information: 8 pages – 1.3 MB

Effects Of Aerobic Exercise On Physical Fitness In Obesity Using Fox Vs. Tanaka’S Maximum Heart Rate And Percentage Vs. Karvonen Methods, Maninthorn Rugbumrung, Tavarintorn Rukbumrung, Sittiwit Impanya, Adison Thurayot

International Journal of Exercise Science

International Journal of Exercise Science 18(8): 695-711, 2025. The intensity of aerobic exercise is influenced by maximum heart rate (MHR), which can be assessed through an incremental exercise test. However, this method requires specialized equipment and a level of fitness that individuals who are sedentary or overweight may lack. Therefore, estimating MHR using formulas is essential. Various methods exist to calculate MHR, but their effects on fitness in obese individuals remain unclear. This study aimed to investigate the effects of aerobic exercise using different intensity calculation methods, specifically comparing Fox's and Tanaka's maximum heart rate (MHR) equations, as well as …

Wireless Sensor Networks In Renewable Energy Monitoring: A Comprehensive Survey Of Protocols And Applications, Atheer Yousif Oudah, Lina M. Shaker

AUIQ Technical Engineering Science

The global shift to sustainable energy has heightened the demand for smart, robust, and efficient monitoring systems. Wireless Sensor Networks (WSNs) play a key role by enabling real-time data collection, decentralized control, and flexible communication in renewable energy applications. This review presents a comprehensive analysis of WSN architectures, routing protocols, and deployment strategies tailored to photovoltaic (PV) arrays, wind energy systems, hydroelectric plants, and smart microgrids. Core operational challenges are examined through a critical evaluation of energy-aware routing protocols including LEACH, PEGASIS, TEEN, ZRP, and advanced variants like EE-OLEACH and PT-Hybrid. Real-world applications, such as offshore wind farms, rooftop PV …

Comparative Analysis Of Linear And Non-Linear Feature Selection For Breast Cancer Detection With Shap Analysis, Hamza Sabo Maccido

AUIQ Technical Engineering Science

Breast cancer remains one of the leading causes of mortality worldwide, emphasizing the critical need for accurate and efficient diagnostic tools. This study investigates the effectiveness of combining linear and non-linear feature selection methods-Principal Component Analysis (PCA), Pearson Correlation Coefficient (PCC), and Backpropagation Neural Networks (BNN) to improve breast cancer classification using machine learning models. We utilized the Wisconsin Breast Cancer Dataset to evaluate the performance of five classifiers-Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Logistic Regression (LR), Decision Tree (DT), Naïve Bayes (NB) and Artificial Neural Network (ANN). The results demonstrated that BNN-selected features consistently outperformed PCA and PCC …

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 …