Digital Commons Network^™

Field-Enhanced Atmospheric Water Harvesting: A Comprehensive Deconstruction And Theoretical Reformulation Of Electrodynamic Physisorption And Kinetic Desorption, Vesa Olavi Lius

Defensive Publications Series

This report presents a definitive physical and mathematical investigation into field-driven atmospheric water harvesting (AWH). Following a rigorous deconstruction of previous particulate models where gas-phase molecules were assumed to undergo translational motion despite thermal agitation (k_B T), the ALLFROMAIR® architecture functions as a potent electro-thermodynamic field sink.

By integrating Modified Kelvin-Thomson (MKT) thermodynamics and Fick’s laws of diffusion, the author demonstrates how strong electric field gradients (\nabla|E|^2) manipulate chemical potentials to induce condensation from sub-saturated bulk air. The process is further enhanced by macroscopic dielectrophoresis and quantum mechanical dipole enhancement within liquid clusters. Finally, the energy-intensive barrier of latent heat …

Multiple Q-Dqn Algorithm Based Rumor Control In Social Networks, Zainab Hasan, Huda Naji Nawaf

Journal of Intelligent Informatics, Networking, and Cybersecurity

Malicious rumours on social media platforms like Facebook, Twitter, and others can be widely disseminated because of social problems. It is challenging to manage a rumour once it gains growth and quickly moves throughout a network. One of the main issues with information dissemination is figuring out how to reduce the propagation of rumours within a social network. A deep reinforcement learning technique might be an effective strategy to manage the rumour issue. Deep Q learning network (DQN) has been used in the literature to mitigate rumors by selecting a blocker at each time step. In this work, the proposed …

Exploring The Effect Of Nanomodifiers On The Self-Healing Property Of Asphalt Binders, Debzani Mitra

Theses and Dissertations

This study aimed to investigate the influence of nanomodifiers on the self-healing of asphalt binder. Two base asphalt binders, PG 58-28, and PG 64-22 were modified with nanoalumina, nanoclay, and nanosilica at 1%, 3%, and 4% dosages by weight of binder. After performance grading and storage stability tests, Fourier Transform Infrared Spectroscopy (FTIR) assessed changes in unaged and short-term oxidized binders. Additionally, thermodynamic properties i.e., Surface Free Energy (SFE), of nanomodified binders were assessed via the sessile drop method. Finally, this study conducted healing characterization using the Modified Time Sweep and Linear Amplitude Sweep Healing tests. Moreover, this study looked …

Development Of Hypergraph Based Deep Neural Framework For Precise Cancer Subtyping And Meta Visualization, Pooja G Ms

Theses and Dissertations

Accurate Cancer Subtyping is a cornerstone of modern oncology essential for effective diagnosis and guiding personalized treatment. Histopathological Images (HIs) which capture the microscopic structure of tissues are widely used for cancer detection and subtyping. Even though deep learning has made significant advances, existing HI based subtyping methods often focus on specific cancer types, lacking a generic framework.

A unified framework that can classify multiple cancers with high specificity is desperately needed. In response to these limitations, this thesis proposes a robust multi-cancer, multi-class subtyping framework called DSHGNet (Depthwise Separable Hypergraph Convolutional Neural Network) which integrates Depthwise Separable Convolutional Neural …

Rp Wynstone Lp V. Township Of New Hanover

2026 Decisions

USDC for the Eastern District of Pennsylvania

A Context-Aware Computer Vision-Based Approach For Post-Earthquake Damage Assessment Of Bridge Inventories, Parham Bakhtiari, S. Ratna Pandey, M. Zaker Esteghamati

Civil and Environmental Engineering Student Research

Post-earthquake damage assessment is crucial to evaluate the safety and serviceability of bridges after an earthquake. Conventional screening methods rely on manual inspection, which is costly, time-consuming, and poses safety risks to inspectors. To address these challenges, this study presents a context-aware vision transformer framework for integrating structural element details into multi-defect identification through a late-fusion approach. The model is trained on a post-earthquake image dataset collected from three major earthquakes in Italy, consisting of 356 images. Five structural elements of reinforced concrete bridges are selected, where concrete spalling and reinforcement corrosion were chosen as target defects. The framework achieved …

Minutes, Curriculum Committee Meeting, Tuesday, March 03, 2026, Curriculum Committee

Curriculum Committee Minutes

No abstract provided.

Algorithms Of Stable Adaptive Observation Of A Multidimensional Undefinite Object, Tursunova Sadoqat Abdusalom Qizi

Chemical Technology, Control and Management

This article presents an algorithm for simultaneously estimating the parameters and state coordinates of a multidimensional control object when some of its state variables are not directly measured. The inability to measure all state variables (coordinates) of an object is a well-known drawback of identification schemes. Such conditions require the construction of adaptive state observers. This work demonstrates that when identifying the parameters of a mathematical model for an uncertain multidimensional object, the asymptotic stability of the object and the convergence of its parameters to the model parameters are ensured, provided the input vector is sufficiently informative. The construction of …

Automating Passenger Counts And Mileage Tracking Using Computer Vision, Austin Witty

Research Horizons Day Posters

No abstract provided.

Exploring Additive Manufacturing For Dielectophoresis And Nuclear-Thermal Propulsion Research, Christa Cartwright

Research Horizons Day Posters

No abstract provided.

Optimization Of Material Handling, Layout, And Forlift Routing For Automated Production Lines, Madison Croft, Emma Karl

Research Horizons Day Posters

No abstract provided.

Graph-Based Semantic Integration Of Systems Engineering And Project Management, Evan O'Neill

Research Horizons Day Posters

No abstract provided.

System-Level Analysis Of Manual Transport Inefficiencies In High-Volume Manufacturing, Josh Gibson, Taylor Plummer

Research Horizons Day Posters

No abstract provided.

Differences In Formulating System Value, Madison Drake, Christopher White

Research Horizons Day Posters

No abstract provided.

Exploring How Ai Testing And Training Can Benefit From The Use Of Digital Twins, Molly Keagle

Research Horizons Day Posters

No abstract provided.

Ground Station Design To Monitor Telemtry For Radio-Controlled Aircraft, William Stephenson, Robert Geren, Hurst O'Shields

Research Horizons Day Posters

No abstract provided.

Optical Characterization And Field Testing Of Infratracker: Next Generation Near Infrared And Visible Light Star Tracker For Suborbital Sounding Rocket Flight, Anthony J. Shipp, Josh Franklin, Ethan Pascuales, Abigail Heins, Keller Powell, Julian Pallini, Samuel Arnold, Maria Chytka, Cailin Bain, Carter Stevens, Andrew Jordan

Research Horizons Day Posters

No abstract provided.

Development Of Mars Analog Biosignature Scanning And Assessment Module, Grant Quartuccio, Simone Wyatt, Roald Schaum, Samuel Arnold, Kade Hagerson, Anthony Mire, Katherine Autery, Harry Thomas

Research Horizons Day Posters

No abstract provided.

Learning From Experience: A Study Of Q Learning In Reinforcement Learning, Samuel Olusegun

Research Horizons Day Posters

No abstract provided.

Guard And Guard Ii: Survivabilty Of Microbes Via Sounding Rocket Launch Enviroment For Future Studies On Living Radiation Fields, Tanner Land, Samuel Arnold, Grant Quartuccio, Zaylee Rodgers, Addyson Swoner, Amy Lebleu-Debartola

Research Horizons Day Posters

No abstract provided.

Enhancing Traffic Incident Management With Large Language Models And Real-Time Data, Alex Macgragor

Research Horizons Day Posters

No abstract provided.

Development And Optimization Of A Penning Ion Source For Neutron Generator Applications, Cameron Rodewald

Research Horizons Day Posters

No abstract provided.

Elara: Sounding Rocket Based Radio Telescope Array For Measuring The Neutral Hydrogen Spectral Line, Carter Stevens, S. Arnold, C, Bain, C. Lynch, B. Twining, J. Pallini, J. Franklin, N. Meyers, E. Pascuales, A. Jordan, A. Shipp, T. Land, U. Withrow, E. Barrett, H. Sperry, G. Vizcarra, O. Bridger, V. Snitko, I. Dunu, M. Angeles, N. Larue, T. Halverson, Z. Rodgers, A. Swoner, F. Clark, M. Chytka

Research Horizons Day Posters

No abstract provided.

Synthesis Of Bio-Based Polyesters From Citric Acid, Emma Buckhalter

Research Horizons Day Posters

No abstract provided.

An Analytical Framework For Digital Twins, Hannah Wisehart

Research Horizons Day Posters

No abstract provided.

Creating A 3d Optical Lut For Skin Cancer Classification, Austin Bolden

Research Horizons Day Posters

No abstract provided.

A Baloon-Based Platform For In-Situ Sampling Of Lightning-Generated Nox In Thunderstorms, Brooke Lynn, S. Lopez, B. Priwer, C. Rizvi, A. Steele, K. Williams, J. Pallini, S. Arnold, R. Galatis, M. Gilliland, M. Hamlet, I. Lasure, C. Prough, D. Pitts, A. Shipp, O. Thrasher, S. Whitlock, W. Wilson

Research Horizons Day Posters

No abstract provided.

Autorag: Multimodel Retrieval-Augmented Generation For Automotive Manuals, Caleb Kilgo, Samuel Olusegun, Thomas Robertson

Research Horizons Day Posters

No abstract provided.

Extended-Duration Satellite Testing Via Altitude-Controlled High-Altitude Balloon, Drew Early, Evan Champney, Nikki Allen, Riley Galatis, Joseph Kloess, Andrew Donnell, Sam Whitlock, Kaden Queener

Research Horizons Day Posters

No abstract provided.

Predicting Internal Temperature Gradient Of Friction Stir Welding With Pinns, Evelina Gustafsson

Research Horizons Day Posters

No abstract provided.