Digital Commons Network^™

Phil 334-001, 003, 451: Engineering Ethics, Daniel Estrada

Humanities Syllabi

No abstract provided.

Thtr 258-001, 101: Stagecraft 1, Jonathan Zencheck

Humanities Syllabi

No abstract provided.

Com 339-001: Practical Journalism, Miriam Ascarelli

Humanities Syllabi

No abstract provided.

Com 312-003, 023, 025: Effective Communication, Laura Stanik

Humanities Syllabi

No abstract provided.

Com 313-003, 021: Writing For The Workplace, Christina Crovetto

Humanities Syllabi

No abstract provided.

Com 312-007: Effective Communication, Louis Kornfeld

Humanities Syllabi

No abstract provided.

Com 313-451: Writing For The Workplace, Gabriella Wilson-Kopko

Humanities Syllabi

No abstract provided.

Com 355-001: Digital Media Futures, Andrew Klobucar

Humanities Syllabi

No abstract provided.

Hss 404-033: Senior Seminar - The Social Media Dilemma, Theresa Hunt

Humanities Syllabi

No abstract provided.

Psy 210-111: Introduction To Psychology, Brian Oland

Humanities Syllabi

No abstract provided.

Psy 325-005: Special Topics In Psychology - Child Psychology, Kelly Conover

Humanities Syllabi

No abstract provided.

Sts 221-003: Introduction To Sociology, Gareth Edel

Humanities Syllabi

No abstract provided.

Thtr 208-001: Movement And Voice For Theatre, Emily Edwards

Humanities Syllabi

No abstract provided.

Sts 352-101: Race And Ethnicity, Laura Dickerman

Humanities Syllabi

No abstract provided.

Sts 363-101: Sustainability Studies, Maurie Cohen

Humanities Syllabi

No abstract provided.

Enhanced Prediction Of Condensation Pressure Drop In Mini And Microchannels Using Physics-Assisted Machine Learning, Farshad Barghi Golezani, Jiayuan Li, Forouzan Naderi, Alexander Meylikhov, Logan M. Pirnstill, Issam Mudawar, Chirag R. Kharangate

Faculty Scholarship

Reliable prediction of frictional pressure drop during condensation in mini‑ and microchannels underpins both thermal management effectiveness and overall heat transfer performance in compact two‑phase heat exchangers, cold‑plates, and on‑chip cooling loops. Excess pressure loss burdens pumps, raises electrical consumption, and can destabilize flow, whereas under‑prediction risks temperature overshoot and premature dryout. Conventional empirical correlations and flexible machine-learning models can lose accuracy once channel size, working fluid, or operating conditions stray beyond their testing range. This study uses a physics‑assisted machine‑learning framework that overlays an XGBoost residual learner on the Kim–Mudawar separated‑flow correlation to achieve high fidelity and robustness in …

Blockchain-Based Trusted Traceability And Sustainability Certification Of Leather Products, Ruba Islayem, Haya R. Hasan, Ahmad Musamih, Khaled Salah, Raja Jayaraman

Industrial Engineering: Faculty & Staff Publications

The leather supply chain comprises numerous organizations and stakeholders, particularly when sustainability aspects are taken into account, making it a complex system. The complexity inherent in such systems can lead to inaccurate information, lack of transparency, and limited data provenance. Moreover, there has been a surge in the call for sustainable practices within leather production, propelled by growing environmental consciousness and ethical considerations. In this paper, we address these challenges by proposing a blockchain-based solution designed to ensure trusted and secure traceability and sustainability throughout the entire life cycle of leather products. By harnessing the inherent capabilities of Ethereum smart …

Carbon Metabolism And Multidrug Resistance In Bacillus Mobilis And Cupriavidus Campinensis Isolated From Cadmium-Spiked Soils, Philips O. Akinwole, Emma E.C. Jacobs '25, Nina G. Shaffer '25

Biology Faculty publications

Heavy metal contamination and antibiotic resistance are critical environmental and public health challenges, often exacerbated by co-selection pressures in polluted environments. This study identifies and characterizes Bacillus mobilis and Cupriavidus campinensis, two cadmium-tolerant bacterial species isolated from cadmium-amended soils with cadmium (Cd²⁺) concentrations exceeding those typically found in highly contaminated soils. Both species exhibited multidrug resistance and the ability to metabolize specific carbon substrates, including pyruvic acid methyl ester, itaconic acid, D-galactonic acid-γ-lactone, Tween-40, and Tween-80. These substrates enhance microbial activity and heavy metal bioavailability, supporting their potential roles in bioremediation, especially through the targeted introduction of …

Generalızed Kuramoto-Sıvashınsky Equatıon Solvıng By B-Splınes Based Neural Network, University Of Abomey-Calavi, Abomey-Calavi, Benin, Abdou Wahidi Bello, Jamal Adetola, National University Of Science, Technology, Engineering And Mathematics (Unstim), Abomey, Benin, Charbel Zeus Jupiter Mamlankou, Brice Bonaparte Adjalla

Baku Mathematical Journal

This study presents a comprehensive case study investigating the application of Variational Physics-Informed Neural Networks (VPINNs) combined with B-spline test functions for solving the generalized Kuramoto-Sivashinsky equation in one space dimension. The Kuramoto-Sivashinsky equation, a nonlinear fourth-order PDE, serves as a benchmark for modeling instabilities in fluid dynamics, combustion, and pattern formation. Our methodology leverages variational formulations to enhance solution accuracy while ensuring robust convergence. Through systematic numerical experiments, we demonstrate that VPINNs effectively capture complex dynamical behaviors in high-order nonlinear systems. The framework’s robustness is evaluated across different network architectures and multi-stage optimization strategies using Adam and L-BFGS optimizers. …

Mixed Problem For A Nonlinear Differential Equation Of The Seventh Order With Identification Source, Samarkand State University, Samarkand, Uzbekistan, Tursun K. Yuldashev, Bakhtiyar J. Kadirkulov, Alfraganus University, Tashkent, Uzbekistan, Mahkambek M. Babayev, Tashkent State Transport University, Tashkent, Uzbekistan

Baku Mathematical Journal

In this paper, a seventh order nonlinear partial differential equations with mixed and additional conditions and positive parameter is considered. The Fourier spectral method of separation of variables is applied. Countable systems of nonlinear functional-integral equations are derived. Theorem on the uniqueness and existence of the solution of inverse problem is proved for some values of parameter. The method of contraction mapping in Banach space is applied. The solution of the inverse problem is obtained in the form of Fourier series. Theorem on absolute and uniform convergence of Fourier series is proved.

Leroy Massey, Jr. V. Commissioner Social Security

2025 Decisions

USDC for the Western District of Pennsylvania

07. Kinetic Theory I, Gerhard Müller

Equilibrium Statistical Physics

Part seven of course materials for Statistical Physics I: PHY525, taught by Gerhard Müller at the University of Rhode Island. Documents will be updated periodically as more entries become presentable.

Updated with version 2 on 1/8/2026.

Process And Mechanism Of Defluorination Using Magnesium Chloride-Modified Coal Gangue, Zhao Li, Zhou Wangxu, Zhang Qing, Xing Mingfei, Xu Feng, Kong Weifang, Liu Yifei, Qin Guangyu

Coal Geology & Exploration

Background The rapid development of industry has resulted in a yearly increase in wastewater discharge, which induces a gradually rising fluorine concentration in water. In this context, removing fluoride using natural materials and industrial waste has emerged as a popular research topic. Coal gangue, one of the largest contributors to industrial waste in China, contains substantial clay minerals, and its pore structure can be effectively improved through modification. This helps significantly enhance its adsorption performance and thus achieve efficient fluoride removal from water. Methods This study investigated coal gangue from a typical mining area of the Henan Energy and Chemical …

A Modular Casing While Drilling Rig For Large-Diameter Horizontal Boreholes For Underground Rescue, Fan Dong, Ni Xiaoyang, Mu Shuyuan, Zou Zujie, Wen Guojun, Li Yingping, Lu Feifei

Coal Geology & Exploration

Objective Operations in a narrow space pose a challenge to rescue in the case of the collapse of mine roadways or tunnels. To address this challenge, this study developed a modular rescue casing while drilling (CwD) rig system for horizontal boreholes. With the capacity for quick responses, this CwD rig was designed to enhance the rescue efficiency and safety under complex geological conditions. Methods Following the modular design concept and compact layout principle, this study optimized core components such as the power heads, feed devices, and power system. The auxiliary operation vehicle was checked against overturning through multibody dynamics (MBD) …

Structural Optimization For Transfer Chutes Based On Energy Dissipation Mechanisms Of Coal Particles, Shi Yaocheng, Zou Zujie, Wen Guojun, Cheng Siyi, Wu Laijie, Wang Yudan, Liu Pu, Chen Mengxi

Coal Geology & Exploration

Objective Bulk material transport in emergency rescue scenarios and coal transportation poses stringent demands for the structural performance of transfer chutes. Given this, from the perspective of the energy dissipation mechanisms of particles, this study proposed structural optimization methods for transfer chutes based on the regulation of particle energy dissipation. Methods An experiment–simulation integrated analysis framework was established. Using this framework, this study systematically simulated the impact process of particles between two-stage walls I and Ⅱ using the discrete element method (DEM), highlighting the coupling mechanisms among velocity fluctuations, stress distribution, and energy transformation pathways. Based on the results, this …

A Simulation And Experimental Study Of Bottomhole Flow Field In A Large-Diameter Rescue Borehole, Zhao Yan, Liu Songhe, Hao Shijun, Zhao Jiangpeng, Li Peishu, Wang Xuebo, Yu Yongping, Gao Ke, Dong Bo, Zhang Bo

Coal Geology & Exploration

Objective In mine rescue, reaming using a large-diameter down-the-hole (DTH) hammer faces is challenged by complex bottomhole flow fields and difficult slag discharge. This study aims to address these challenges. Methods To reveal the influence patterns of drilling parameters on the bottomhole flow field and slag discharge efficiency, this study determined the optimal drilling parameter combination. Then, using the computational fluid dynamics (CFD)-discrete phase model (DPM) method, this study established a numerical model for the slag discharge and bottomhole flow field during the reverse circulation drilling using a DTH hammer. Relying on this model, this study analyzed the variation patterns …

Overriding Overtime In Decentralized Work, Arianne Renan Barzilay

Villanova Law Review (1956 - )

No abstract provided.

A Different Form Of Post-Op: Healing Survivors Of Domestic Violence Through Prosecutorial Anatomy, Elizabeth Ellick

Villanova Law Review (1956 - )

No abstract provided.

Constructions Of Compact Dupin Hypersurfaces With Non-Constant Lie Curvatures, Thomas E. Cecil

Mathematics and Computer Science Department Faculty Scholarship

A hypersurface M in the unit sphere Sⁿ ⊂ Rⁿ⁺¹ is Dupin if along each curvature surface of M, the corresponding principal curvature is constant. If the number g of distinct principal curvatures is constant on M, then M is called proper Dupin. In this expository paper, we give a detailed description of two important types of constructions of compact proper Dupin hypersurfaces in Sⁿ. One construction was published in 1989 by Pinkall and Thorbergsson [35], and the second was published in 1989 by Miyaoka and Ozawa [26]. Both types of examples have the …

Enhanced Pmu Data Imputation Using Variational Autoencoder: A Novel Approach For Improved Accuracy, Subin Koshy, Sunitha Rajan, Elizabeth P. Cheriyan

Turkish Journal of Electrical Engineering and Computer Sciences

Data collected from various measurement devices, such as phasor measurement units (PMUs), form the backbone of power system monitoring algorithms such as state estimation algorithms. Even though modern PMUs are efficient, data inaccuracies and loss can still occur due to problems like equipment malfunctions, communication issues, and hardware or software glitches. Missing values in the datasets can also affect the overall quality, impacting the algorithms dependent on them. This article introduces a novel technique for real-time imputation of missing data using variational autoencoder (VAE) and utilizing the latent space representation acquired from VAE. The method has demonstrated enhanced accuracy in …