Digital Commons Network^™

In-Chip Artificial Intelligence Technology For Generating And Self-Correcting The Topology Of Low-Consumption Rc Filters, Zainab Al-Araji

Engineering and Technology Journal

This study presents an innovative self-tuning system for first-class RC filter circuits, specially designed to achieve a target cut-off frequency of 500 kHz with unprecedented accuracy and high energy efficiency. The proposed model is based on a multivariate adaptive tuning algorithm that synchronously adjusts both the resistance (R) and the capacitance (C). The effectiveness of the model was verified through a three-level methodology that included theoretical modeling using Maxwell's equations, digital simulation using the MATLAB/Simulink environment, and practical testing with an accurate spectrometer. The results demonstrated a standard frequency accuracy of 99.9969% and a relative error of less than 0.0031%, …

Experimental Investigation Of Applying Multi-Stage (Pid-Mrac) Controller For Trajectory Tracking Of Four Mecanum Wheeled Mobile Robot, Asaad Abdullsahib, Hassan Alwan

Engineering and Technology Journal

This paper presents a practical investigation into the design and implementation of a multi-stage controller, which integrates a Model Reference Adaptive Controller (MRAC) with a Proportional-Integral-Derivative (PID) controller for trajectory tracking control in a Four Mecanum Wheels Mobile Robot (FMWMR). The MRAC adaptively updates the control parameters based on the difference between the actual and desired behaviors of the mobile robot. In contrast, the PID controller manages the angular velocities of the wheels. The mobile robot has been designed and constructed with two holders to facilitate the transportation of logistical items and constrain the weight to the center of the …

Comparative Study On Finite Time Tracking Design Based On Pid For 1-Degree Of Freedom Manipulator, Samara Al-Dahlaky, Safanah Raafat

Engineering and Technology Journal

In this paper, the application of Sliding Mode Control (SMC) and its integration with Finite-Time Stability (FTS) for controlling 1-degree of-freedom (DOF) system has been explored. By combining FTS with SMC, the convergence speed is significantly improved, enhancing the system's resistance to external disturbances. This paper demonstrates a detailed comparative study on the application of SMC based on FTS with a SMC, and with conventional-PID (C-PID). The SMC developed in this paper is based on a PID controller to ensure that the system's trajectory converges exponentially to zero. The results show that using SMC with FTS provides faster and more …

Investigating The Effect Of Cooling Systems On The Efficiency Of Photovoltaic Solar Panels, Bilal Al-Asbea

Engineering and Technology Journal

This research investigates the influence of cooling systems on the performance of photovoltaic (PV) solar panels, specifically using pulsing tubes filled with alumina and titanium dioxide nanofluids under conditions characteristic of solar power plants. Cooling photovoltaic (PV) solar panels is essential for improving their efficiency in solar generating facilities. This work examines the use of pulsing tubes containing Al₂O₃ and TiO₂ nanofluids, together with flow-guiding barriers, to enhance cooling efficiency. Through ANSYS Fluent simulations, we determined that two barriers decrease panel temperature by around 20% (from 60 °C to 48 °C), enhance heat transmission by around 30%, and augment efficiency …

A Review Study On Ai-Driven Robotics And Automation In Smart Manufacturing: Applications, Challenges, And Economic Impacts, Timothy Adeyi, Jacob Adebayo, Olakunle Oresegun, Shade Ademokoya, Sunday Jegede, Adrian Cheok

Engineering and Technology Journal

Integrating AI-driven robotics and automation revolutionizes smart manufacturing by enhancing operational efficiency, productivity, and system flexibility across automotive, aerospace, and general equipment manufacturing industries. This review synthesizes findings from 84 peer-reviewed publications to evaluate the transformative potential of key AI technologies—including machine learning, digital twins, edge AI, and human-machine collaboration—in optimizing production lines and enabling predictive maintenance, real-time monitoring, and adaptive decision-making. While these innovations offer significant benefits in quality control, cost reduction, and sustainability, challenges remain in integrating AI with legacy systems, addressing workforce skill gaps, and ensuring cybersecurity and ethical compliance. Emerging trends such as 5G-enabled edge computing …

Examining The Flexural Behavior Of Honeycomb Sandwich Composites: A Numerical And Experimental Study, Salwan Alhumairee, Ibtihal Mahmood, Mustafa Hunain, Hassan Raheem

Engineering and Technology Journal

Composite sandwich panel structures have been widely used in engineering and aerospace applications. Predicting the flexural properties of theoretical composite constructions is crucial for efficiently designing sandwich composite panel products. This research investigates four different cell core forms—circular, hexagonal, rectangular, and triangular—utilized in the manufacture of sandwich composite structures using a numerical program. For each case, the sandwich composite panel structure maintained constant weight and constant thickness for all models. The skin was fabricated from one layer of carbon fiber and two layers of glass fiber, combined with 3% carbide silicon and 6% polysulfide rubber in an epoxy matrix. The …

Using Artificial Neural Networks To Predict The Compressive Strength Of Cement And Sawdust Ash-Treated Lateritic Soil, James Ukpai, Ugochukwu Okonkwo

Engineering and Technology Journal

Sawdust industrial residue could be hazardous to the environment, but it becomes pozzolanic when incinerated. Thus, harnessing sawdust ash (SDA) and lateritic soil as road construction materials for low-cost roads is apt. However, modeling and prediction of the properties of soils treated with SDA have received very little attention. This study predicted the compressive strength of lateritic soil treated with cement and SDA using an Artificial Neural Network (ANN). The soil was found to belong to A-2-4(0) in the AASHTO rating and clayey sand (SC) in the Unified Soil Classification System. The soil minerals composition was conducted using an x-ray …

Mechanical And Fracture Performance Of Fresh Rubberized Self-Compacting Concrete: A Mini Review, Muntadher Taher, Tareq Al-Attar, Aqeel Al-Adili

Engineering and Technology Journal

Sustainable construction procedures use recyclable material; thus, the construction process and design choices are focused on planet health. SCC is a new generation of concrete that offers the achievement of high durability and flexibility in Rubberized Self-Compacting Concrete (RSCC) by employing recycled tire rubber and Self-Compacting Concrete (SCC). This review investigates the mechanical and cracking characteristics of rubberized self-compacting concrete and rubber content effects. Formwork requirement is brought down by the concrete’s ability to compact itself, thereby increasing user satisfaction. Energy is effectively absorbed, the flexibility of concrete is increased, and tire disposal is made simpler with rubber granules. Rubber …

An Optimize Canny Algorithm With Traditional Machine Learning For Edge Detection Enhancement, Russel Lafta, Zainab Sultani

Engineering and Technology Journal

Edge detection still represents a major challenge in image processing and computer vision because of the complexity and variability of real-world images. The canny algorithm is powerful in detecting edges. However, it is sensitive to noise, and as a result, may produce weak edges. The use of machine learning algorithms has significantly improved the performance of edge detection techniques. In this paper, an improved Canny edge detection algorithm is proposed by replacing the Gaussian filter with a bilateral filter. Also, a new approach for estimating Canny algorithm thresholds has been developed using the Flower Pollination algorithm. Subsequently, the improved Canny …

Improvement Of Signal Detection Based On Using Machine Learning, Bassam Abd

Engineering and Technology Journal

During the communication system development over the years, detecting and identifying the signal from the affected noise had the major role and the most attention from the researchers. The deep learning algorithm has become a very attractive tool for distinguishing between signal and noise. Learning and training are the two important steps in designing any deep learning system. The proposed system depends on the support vector machine (SVM). The SVM is one of the most popular learning algorithms in different fields, such as signal processing, image processing, communication, and pattern recognition. The SVM classifier is a supervised learning algorithm that …

Metaheuristic Algorithm For Parametric Optimization Of Liquid Nitrogen Pumping In Hydrocarbon And Allied Fluids Piping Systems, S. Isaac, C. Kadurumba, H. Ugwu, F. Abam

Engineering and Technology Journal

This study applied a population-based metaheuristic algorithm to optimize liquid nitrogen pumping in hydrocarbon and allied fluids piping systems to ensure optimal process efficiency, minimize energy consumption, and minimize operational costs without extensive computational tasks while considering uncertainties and variability. Liquid nitrogen pumping in hydrocarbon and allied fluids piping systems involves a heat and mass transfer process where by liquid nitrogen flows from the storage tank to the pump unit and is converted to the gaseous state in an integrated heat exchanger. The continuous high pressure from the triplex reciprocating pump pushes the gaseous nitrogen to the hydrocarbon and allied …

Free Vibration Analysis Of Aluminum Foam Metal Sandwich Panels: A Comparative Study Between Numerical And Analytical Modelling, Zahra Hamdan, Sadeq Bakhy, Muhsin Jweeg

Engineering and Technology Journal

This study investigates the natural frequencies and vibrational behavior of aluminum foam sandwich panels by using numerical and analytical methods. The panels consist of an aluminum foam core sandwiched between two aluminum sheets, offering a lightweight yet structurally robust solution, making them ideal for applications in the aerospace and automotive industries. A mathematical model based on classical plate theory (CPT) was developed to compute the natural frequencies of supported rectangular sandwich plates. The Gibson-Ashby equation was employed to estimate the Young's modulus of the aluminum foam core. The analytical model was validated using finite element analysis (FEA) conducted in ANSYS …

Recent Advances In Journal Bearings: Wear Fault Diagnostics, Condition Monitoring And Fault Diagnosis Methodologies, Nazik Jebur, Wafa Soud

Engineering and Technology Journal

This review comprehensively encompasses a range of recent studies on journal bearings, emphasizing wear fault diagnostics, condition monitoring, and fault diagnosis methodologies. A significant finding reveals a shift back to the utilization of journal bearings in various rotating machinery such as compressors, motors, turbines, and pumps. Various methodologies employed in these recent studies include vibration analysis, machine learning, deep learning, and both numerical and experimental simulations. Key findings indicate that ensemble models, such as the CNN and deep neural network (CNNEPDNN) model, significantly improve convergence speed, test accuracy, and F-Score in bearing fault diagnosis by 15-20% compared to individual models. …

Finite Element Analysis And Artificial Neural Network For Stress Distribution Of An Aircraft Model In A Wind Tunnel, Ahmed Al-Mulla Khalaf, Sinan Al-Haddad, Bilal Al-Oubaidi, Naseem Ibrahim, Fawaz Abdulwahed, Athraa Hilal

Engineering and Technology Journal

Wind tunnels are instrumental in the aerodynamic analysis of aircraft model structures, enabling the replication of real circumstances for better design and performance evaluation. This paper presents a novel enhancement to stress distribution predictions in wind tunnel simulations by combining Finite Element Analysis (FEA) and Artificial Neural Networks (ANN). First, the research focuses on analyzing ANSYS Fluent data, which provides insights into the complex fluid dynamics inside the wind tunnel. The proposed approach combines the best available FEA and ANN techniques regarding prediction accuracy and computational efficiency. Such findings are those that evidence that predictions of real stress levels using …

The Physical World Of The Greeks, Samuel Sambursky

Hannah Arendt Marginalia - All

London : Routledge and Paul, 1956.

Call#: Q127.G7 S313 1956

Contains underlining and marginalia

PDF information: 17 pages - 5.7MB

Documents On German Foreign Policy, 1918-1945, From The Archives Of The German Foreign Ministry., AuswäRtiges Amt Germany

Hannah Arendt Marginalia - All

Washington : U.S. Govt. Print. Off., 1949-< 1983>

Call #: JX691 .A45

Contains underlining and marginal lining

PDF information: 31 Pages - 12MB

Politics, Catharsis, And Football: The Brazilian National Team As A Symbolic Device Of Nationhood, Marco Bettine

Journal of Global South Sport Studies

This article examines the growing entanglement between football, political conflict, and national identity in contemporary Brazil, focusing on the Brazilian National Football Team as a highly charged national symbol. Rather than assuming a direct causal link between sporting success and political outcomes, the paper explores how football has become a space where political meanings and public emotions are constantly reinterpreted and disputed. The discussion revisits the changing political meanings attached to the national team over the last decade. Particular attention is given to the perceived relationship between football performance and electoral cycles, the politicization of the yellow jersey, the use …

Evaluating The Interpolation Techniques For Completing The Soil Data And Mapping Jazan City, Saudi Arabia, Using Gis, Ehab Sabi, Mahmoud Abdelrahim Abdelgiom

Yanbu Journal of Engineering and Science

The goal of the study is to determine which of the chosen interpolation techniques is optimal for forecasting soil characteristics in unmeasured areas for infrastructure and building projects. The study also incorporates geotechnical data from 23 regional boreholes with the UNESCO soil classification system developed by the Food and Agriculture Organization (FAO). The mapping and accuracy of different interpolation techniques were assessed using ArcGIS 10.4. Additionally, Spline, Inverse Distance Weighting (IDW), Kriging, Natural Neighbor, and Radial Basis Functions are used to assess the precision and efficacy of several interpolation techniques. The investigation's conclusions showed that the ``natural neighbor'' strategy was …

Section Iii -- College Of Liberal Arts Policies And Procedures (Updated 03/02/2026), All Faculty

Faculty Handbooks

No abstract provided.

Selassie Atoklo V. Attorney General United States Of America

2026 Decisions

Agency

Spectroscopy And Photochemistry Of The Astrochemical Molecules Sicp And Alcp, Vincent J. Esposito, Tarek Trabelsi, Rebecca Firth, Ryan C. Fortenberry, Joseph S. Francisco

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Through characterization of the electronic excited-state topology, linear-SiCP is predicted to be photostable in the UV region, whereas linear-AlCP is predicted to undergo photodissociation to form Al+CP products after absorption of light in the 200–250 nm range, representing a catalytic process for freeing aluminum molecules from a solid dust grain. Both SiCP and AlCP are predicted to have electronic transitions with large absorption cross sections (∼10^–17 cm²) and to undergo fluorescence from bound excited states. The total electronic absorption spectrum is provided to inform electronic spectroscopy experiments. Silicon (SiC) and aluminum (Al₂O₃) dust …

Des Arbres Comme Des Lignes De Vie – Pascale Cassagnau Et Suhaib Gasmelbari En Conversation, Pascale Cassagnau, Suhaib Gasmelbari

Regards

As part of a study day organized in September 2025 at the University of Grenoble Alpes in partnership with the Centre National des Arts Plastiques entitled “The Loss of Images: Research and Creative Narratives,” Pascale Cassagnau and Suhaib Gasmelbari discussed his film Talking about Trees (2019), focusing on the film’s sources and structure, the history of Sudanese cinema that it reveals within the film itself, and the metaphors of trees and plants as lifelines and living archives at a time when images have disappeared.

Résumé
Dans le cadre d’une journée d’études organisée en septembre 2025 à l’Université Grenoble Alpes en …

Ifn Signaling Is Associated With Radiotherapy Response In Malignant Peripheral Nerve Sheath Tumors., Iowis Zhu, Julian Chien, Gabriel E Rech, Kanish Mirchia, Sixuan Pan, Kaeli Miller, Joanna Pak, Rosanna Wustrack, Varun Monga, Steve E Braunstein, Mark D Adams, Line Jacques, Melike Pekmezci, S John Liu, Harish N Vasudevan

Faculty Research 2026

Patients with malignant peripheral nerve sheath tumors (MPNSTs) have poor outcomes despite multimodal treatment with surgery, radiation, and systemic therapy. The responses to radiotherapy (RT) are mixed, and the biologic mechanisms underlying this heterogeneity in the radiation response of MPNSTs are not understood. Here, we combined bulk and single-cell transcriptomics, genome-wide CRISPR interference screens, and multiplatform molecular analysis across MPNST cells, mouse allograft models, and patients' samples to understand the mediators of the radiation response. Our data revealed that MPNSTs, but not benign plexiform neurofibromas, induced a type I IFN signature that functionally mediated the radiation response. Moreover, irradiation of …

Ifn Signaling Is Associated With Radiotherapy Response In Malignant Peripheral Nerve Sheath Tumors., Iowis Zhu, Julian Chien, Gabriel E Rech, Kanish Mirchia, Sixuan Pan, Kaeli Miller, Joanna Pak, Rosanna Wustrack, Varun Monga, Steve E Braunstein, Mark D Adams, Line Jacques, Melike Pekmezci, S John Liu, Harish N Vasudevan

Faculty Research 2026

Patients with malignant peripheral nerve sheath tumors (MPNSTs) have poor outcomes despite multimodal treatment with surgery, radiation, and systemic therapy. The responses to radiotherapy (RT) are mixed, and the biologic mechanisms underlying this heterogeneity in the radiation response of MPNSTs are not understood. Here, we combined bulk and single-cell transcriptomics, genome-wide CRISPR interference screens, and multiplatform molecular analysis across MPNST cells, mouse allograft models, and patients' samples to understand the mediators of the radiation response. Our data revealed that MPNSTs, but not benign plexiform neurofibromas, induced a type I IFN signature that functionally mediated the radiation response. Moreover, irradiation of …

March 2 Elections, Census & Redistricting Update, Jeffrey M. Wice

Elections, Census & Redistricting Updates

No abstract provided.

Korean Words In The Oed: Race, Gender, And The Modern English Speaker, Elaine W. Chun

Faculty Publications

This article examines representations of the Modern English Speaker of Korean (MESK) in the Oxford English Dictionary (OED), as lexicographers listened to and documented the language of this figure over the past century. I show that, until the early twenty-first century, the most salient type of MESK was the Koreanist, a white, masculine expert on and translator of Korean, the language of a racial other. By contrast, more recent Korean entries, influenced by the global spread of hallyu, have invoked the Korea Fan, a figure that potentially unsettles longstanding ideologies of language, race, and gender. I …

Comment On The Draft Environmental Impact Statement For New Operations For Lake Powell And Lake Mead Post-2026, Bryan Williams, Caitlyn Andrus, Brittany Fager, Matthew Fugal, Parker Hansen, Ashley Jones, Shaun Joseph, Ashley Mcallister, Braden Wilding, David Rosenberg

Civil and Environmental Engineering Student Research

We appreciate the Bureau of Reclamation’s extensive effort in preparing the Post-2026 Draft Environmental Impact Statement (Draft EIS) for operational guidelines for Lake Powell, Lake Mead, and the Colorado River Basin. This commentary will address positives, questions, and concerns from the Draft EIS. We also share recommendations for consideration in the Final EIS.

Adolph Michelin V. Warden Moshannon Valley Correctional Center

2026 Decisions

USDC for the Western District of Pennsylvania

Design And Evaluation Of A Collaborative Xr Framework With Abstract Building Blocks For Manufacturing System Prototyping, Shaun Macdonald, Bixun Chen, Yuanjie Xia, Rami Ghannam

School of Engineering Technology Faculty Publications

Manufacturing systems are complex installations designed and developed by stakeholders with differing expertise. However, system design primarily features traditional methods, long lead times, and siloed environments, which obstruct comprehension, communication, or collaboration. Prior research has used extended reality (XR) to prototype and visualise specific manufacturing applications; however, flexible system modelling remains complex. To address these issues and lay the foundation for future-facing manufacturing design as part of Industry 4.0, we introduce ARTIFY—a prototype XR framework for conceptual system prototyping. It features abstract building blocks that can be semantically reconfigured to support early-stage modelling of varied manufacturing systems in immersive environments. …

Do Attorneys Discriminate? Understanding The Implications Of Bias On Voir Dire & Jury Selection, Jessica Lambert

Doctor of Psychology (PsyD)

Biases, generally defined as predispositions or inclinations for or against ideas, is a broadly prevalent aspect of human cognition and decision-making (Steinhauser, 2020). Bias is present in every decision-making structure, even those in which we strive for the greatest neutrality, such as the legal system (Alter, 2010). An especially important place to seek to minimize or eliminate bias is in the courtroom. Our justice system is built upon the assumption of impartiality and nonpartisanship (Rosenberg, 2008), yet biases and stereotypical decision- making are common criticisms of the court (Curley et al., 2022; Chopp, 2017). This study attempts to identify the …