Digital Commons Network^™

Treatment And Activation Effects On Kaolinite-Based Earth Concrete, Mojtaba Kohandelnia, Maroua Zerzouri, Ammar Yahia, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Self-consolidating earth concrete (SCEC) addresses the long construction process of conventional earthen constructions and their structural limitations, while further efforts are needed to enhance its sustainability. This study explores the development of a kaolinite-based self-consolidating earth paste (SCEP) due to their blended powder system, incorporating raw and treated (calcined and ground-calcined) kaolinite under various activation techniques, such as water hydration, sodium hexametaphosphate (NaHMP), and sodium hydroxide (NaOH) activation. The synergistic effect of calcination and mechanosynthesis on rheological, mechanical, structural, and microstructural properties of SCEP were investigated. Mechanically treated kaolinite increased yield stress, plastic viscosity, storage modulus evolution, and build-up index, …

The Captive Audience Doctrine Today, R. George Wright

Duke Journal of Constitutional Law & Public Policy

No abstract provided.

Final 2025 Residential Metals Abatement Program (Rmap) Rock Creek Cattle Company Borrow Submittal #1, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Project Managers, The Heart Of Every Football Club., Khaled Hamshari

Harrisburg University Dissertations and Theses

Project managers have become central to the success of modern football clubs, managing both the sporting and business aspects of operations. This paper examines how the role of project managers has evolved over the last 20 years, expanding from football-related duties to encompass broader responsibilities, including financial management, recruitment strategies, and long-term planning. With football clubs now functioning as multi-billion-dollar organizations, the influence of project managers has grown significantly, as they are tasked with balancing on-pitch success with off-pitch business objectives. The study highlights how project managers have become indispensable, often holding more power than some stakeholders, making their role …

The Development Of The Disclosed Reasons Of Partners' Premature Discontinuation In Couple Therapy Questionnaire (Dropped-Ct), Luca Codeca'

Theses and Dissertations

Premature discontinuation from couple therapy presents a substantial challenge for clients, therapists, and society. Inconsistent data on the frequency and reasons for premature discontinuation may be attributed to a lack of methodological rigor in assessing the phenomenon. This study addresses this gap by developing the Disclosed Reasons Of PrEmature Discontinuation in Couple Therapy Questionnaire (DROPPED-CT), a comprehensive instrument designed to assess the reasons why couples prematurely discontinue therapy. Utilizing a mixed-method approach, the DROPPED-CT was developed through the integration of qualitative and quantitative data. The questionnaire demonstrates strong potential for enhancing the consistency of construct operationalization and improving the comparability …

Investigation Of Stability And Control Shortcomings Of The North American X-15, William Lorenzo, Ramana Grandhi, Timothy T. Takahashi

Faculty Publications

There is growing interest in the design of maneuvering high-speed aircraft to fly within or at the edge of the atmosphere. We identify and develop novel quasi-static vehicle screening methodologies, suitable for use during preliminary design, to better predict an incipient loss of control due to the dynamic effects of feedback. We validate these metrics by reverse-engineering Neil Armstrong’s 1962 loss of control and inadvertent atmospheric skip while piloting the X-15. In 1962, then-extant flight dynamics screening methods did not forecast likely troubles. We assemble and refine a collection of predictive metrics which operate upon basic quasi-static aerodynamic data and …

Impact Of Product Size And Subsequent Consumer Freezing Practices On Meat Quality And Palatability Of Different Beef Muscles, Paul Olaoluqaniyi Dahunsi, Ashley Rivera Pitti, M. Sebastian Hernandez, Thomas W. Dobbins, Morgan L. Denzer, Palika Morse, Kelly R. Vierck, Jerrad F. Legako, Derico Setyabrata

Animal Science Faculty Publications and Presentations

The objective of this study was to assess the impacts of product sizes and subsequent consumer freezing practices on beef quality and palatability. Paired beef strip loins (LL), top sirloins (GM), and eye of rounds (ST) from 15 United States Department of Agriculture (USDA) Low Choice beef carcasses were collected, and each side was assigned into 2 freezing sizes, section (SEC) or steak (STK). Each muscle was also cut into 3 equal portions and randomly assigned to one of the 3 freezer types: blast freezer (BLS), chest freezer (CST), or refrigerator freezer (FRI). Portions assigned to STK were further cut …

Characterizing Power Profiles Of A Concentric Ring Multifocal Contact Lens For Myopia Management: A Novel Approach, Annabelle Mawhinney, Phillip Buckhurst, Craig Mcneile, Stephen Hall, Hetal Buckhurst

School of Health Professions

This study presents a systematic method for characterizing power profiles of concentric ring multifocal contact lenses (MFCL), specifically the MiSight® lens used in myopia management, and evaluates the potential of Multivariate Adaptive Regression Spline (MARS) modelling to extrapolate profiles across a full dioptric range.Power profiles of eleven MiSight® lenses (−0.25D, then −1.00D to −10.00D in 1.00D steps) were measured using the NIMOevo® system. MiSight® lenses comprise four concentric zones, with zones 2 and 4 providing additional plus power. Centre thickness (CT) was measured using an immersive spectral-domain Optical Coherence Tomographer. Zonal boundaries were determined as asymptotes of a four-parameter sigmoidal …

Evaluating Impacts Of Improved Flooring On Enteric And Parasitic Infections In Rural Households In Kenya: Study Protocol For A Cluster-Randomised Controlled Trial, Katherine E. Halliday, Stella Kepha, Hugo Legge, Elizabeth Allen, Robert Dreibelbis, Lynne Elson, Beatrice K. Kakoi, Carlos Mcharo, Sharon Muli, Jacinta Mwongeli, Doris Njomo, Margaret M. Njoroge, Victoria Ochwal, William E. Oswald, Martin Rono, Tuva K. Safari, Ulrike Filinger, James Wambua Kaluli, Charles S. Mwandawiro, Rachel L. Pullan

All Peer-Reviewed Publications

Introduction Earthen floors are often damp or dusty and difficult to clean, providing an ideal environment for faecal pathogens and parasites. Observational studies have revealed associations between household flooring and health outcomes, but robust experimental evidence is scant. This study will evaluate the impact of an improved household flooring intervention on enteric infections, soil-transmitted helminth (STH) infections and tungiasis through implementation of a cluster-randomised trial in two rural settings in Kwale and Bungoma Counties, Kenya. Methods and analyses 440 clusters (households) across both sites are allocated to control or intervention group, in which a low-cost, sealed, washable, cement-based floor is …

Ensuring Success And Retention: A Review Of Key Factors For Diverse Online Scholars, Leila Romeo, Cicely Ward, Jesiah Brock

Tapestry: Journal of Research in Education

The widespread adoption of online learning in higher education necessitates a critical understanding of factors that promote the retention and academic success of diverse student populations. This paper provides a synthesis of existing research investigating the numerous elements that influence the educational experiences of distinct student cohorts, with a particular focus on literature pertaining to non-traditional Latina students in postsecondary online learning environments. This review critically examines established scholarship to comprehend the array of challenges and prospects these students encounter, identifying critical determinants of their academic trajectories as established in prior studies. Key determinants frequently cited in the literature include …

Control Strategies In Wind Energy Systems: A Comprehensive Overview, Abeer Awad, Mohamed Al Hasheem

Future Engineering Journal

This paper reviews different control methods used in wind energy systems to improve how they work and connect to the power grid. It covers simple control methods like Proportional-Integral (PI) controllers, as well as more advanced ones like Sliding Mode Control and intelligent controls such as fuzzy logic and neural networks. The strengths and weaknesses of each method are discussed, focusing on how well they handle changes in wind and load, keep power quality high, and stay stable. Challenges like system complexity and unpredictable wind are also explained. The paper ends by suggesting that future work should focus on combining …

A Hybrid Ai-Based Framework For Real-Time Epileptic Seizure Detection In Intracranial Eeg Signals Using Brain-Computer Interfaces, Ahmed, M. Salaheldin Dr., Manal Abdel Wahed Prof., Neven Saleh

Future Engineering Journal

Epilepsy is a serious neurological disorder that can significantly impact an individual's quality of life. This study proposes a novel method for the detection and mitigation of epileptic seizures through the integration of artificial intelligence (AI) and a brain-computer interface (BCI) system. Statistical features were extracted from intracranial electroencephalography (IEEG) signals using a multi-resolution decomposition technique and used to train five classification algorithms: support vector machines (SVM), k-nearest neighbors (KNN), Naïve Bayes (NB), artificial neural networks (ANN), and long short-term memory (LSTM). The model demonstrated strong performance, achieving classification accuracies of 98.28% (SVM), 93.88% (KNN), 95.73% (NB), 95.73% (ANN), and …

Review Of Energy Storage Systems For Optimal Planning And Operation Of Microgrid Resources, Ibrahim M. Ibrahim Dr., Walid A. Omran Prof., Almoataz Y. Abdelaziz Prof.

Future Engineering Journal

Energy storage systems (ESSs) play a central role in microgrid (MG) research and are widely used in related studies. This is due to the many applications of ESSs that enhance the performance of MGs. These include power quality applications and energy management applications. This paper presents a literature review of various studies that address the use of ESSs in microgrid (MG) systems to perform functions aimed at enhancing overall performance. These studies are classified into two main categories: planning and operational planning, with the MG being either grid-connected or islanded in each case. Finally, the optimization techniques used to obtain …

Exploring Sustainable Practices In Educational Buildings During The Project Lifecycle In Egypt, Abdallah Awny, Youssef A. Awad, Hosam Hegazy, Ibrahim Mahdi

Future Engineering Journal

Sustainable construction approaches are essential for mitigating environmental concerns and enhancing energy efficiency in educational facilities. This research examines sustainability solutions in Egyptian educational institutions, concentrating on the design, building, and operating stages. The study combines quantitative and qualitative assessments from a survey of 66 industry experts, evaluating essential sustainability criteria like energy efficiency, water conservation, material sustainability, and operating expenses. Statistical methods, such as the Relative Importance Index (RII) and correlation analysis, were used to assess the relevance and interrelations among sustainability factors. The findings reveal that energy efficiency (RII: 0.82) and the promotion of health and well-being (RII: …

Centralized, Decentralized And Hybrid Wastewater Management Approaches – Gap Study, Zeyad Kadry, Ahmed M. Ebid Dr., Ibrahim Mahdi

Future Engineering Journal

This literature review highlights advancements in wastewater management, emphasizing hybrid systems that integrate centralized and decentralized approaches. It underscores the cost-effectiveness and scalability of decentralized wastewater management (DWWM) for small urban and rural areas, despite higher land and capital needs. Optimization frameworks utilizing advanced computational tools, such as genetic algorithms and GIS, have proven effective in reducing costs and enhancing resource recovery, with decision-support frameworks tailored for rural planning. The integration of synergistic technologies like vertical farming and photovoltaic energy enhances the sustainability and resilience of decentralized systems in urban contexts. Additionally, innovative treatment methods, including nano-disinfection and advanced coagulation, …

Symposium Introduction: Interrogating The Hidden Curriculum: Implications For Formation Of Professional Identity, David I.C. Thomson

The Journal of Law Teaching and Learning

No abstract provided.

The Ferguson Effect, Ayleen A. Suarez

Quest

Research Essay

Research in progress for CRIJ 2328: Police Systems and Practices

Faculty Mentor: Stephanie Abramoske-Austin, PhD

This article began from a term paper assignment in CRIJ 2328, Police Systems and Practices—a required course for Criminal Justice students. The assignment asks students to research a current policing topic and write an essay that includes the history of the topic, its importance for modern-day policing, a review and analysis of the empirical evidence on the topic, and proposed solutions. Ayleen Suarez chose to research the “Ferguson effect.” The Ferguson effect began circulating online and in a variety of news programs after …

Ole Miss Engineering, University Of Mississippi. School Of Engineering

University Website Migration from WordPress

No abstract provided.

Leetquest, Sanvir Bal, Vladimir Ceban, Matty Herzig, Daryl Ho

Computer Science and Engineering Senior Theses

The technical interview process for software engineering position has drastically changed in recent times to focus on Data Structures and Algorithms (DSA). Although, data structures and algorithms are a foundational aspect of several programming languages, the questions asked in the technical interview process do not accurately reflect, in terms of style and difficulty, the experience students and professionals have with DSA from school and work respectively. As a result, many have looked to online resources in order sharpen their DSA problem solving skills. However, the existing solutions are riddled with flaws. In particular, the learning resources they provide are locked …

Real-Time 3d Automated Spotlight Tracking System, Francine Garcia, Mary Hemker

Computer Science and Engineering Senior Theses

Commercially available automated spotlight systems tend to be expensive and unattainable for smaller school or community theaters. This project provides a cheap alternative to automated spotlight systems on the market and is compatible with most stage lighting architecture by using the Digital Multiplex (DMX) Protocol.

Circuit boards with Ultra-Wideband (UWB) radio frequency track an actor’s coordinates in a 3D space defined by four UWB anchors. A Raspberry Pi single-board computer acts as a controller and converts the coordinates into pan and tilt angles and maps these calculations to values that the spotlight can read in order to move. These values …

Early Lane Change Prediction For Mixed Traffic With V2x Communication, Muhammed Fatih Koc, Nouman Ashraf, Pramod Pathak, Sachin Sharma

SAML-25 Workshop on Statistical and Machine Learning

Lane change prediction is essential for ensuring road safety and effective decision-making in autonomous vehicles (AVs). AVs will probably take several decades to penetrate new vehicle sales. As AVs and human-driven vehicles (HDVs) will coexist in traffic for the long term, AVs must understand the lane change intentions of surrounding HDVs. Lane changing is a critical manoeuvre that can cause a crash if it is performed late or if incorrect lane adjustments are made. Therefore, forecasting surrounding vehicles’ lane change intentions in advance is essential to ensure safe driving in mixed traffic environments having both AVs and HDVs. The unpredictability …

Pros & Cons Of Reinforcement Learning - Illustrated By The Problem Of Controlling Gantry Robots, Horst Zisgen

SAML-25 Workshop on Statistical and Machine Learning

In this talk a solution for the dynamic scheduling of flexible flow shop systems using gantry robots for material handling by means of simulation and Reinforcement Learning (RL) is presented. Subsequently the pros and cons of a RL approach are briefly discussed and illustrated at the robot control problem.

Impact Of Spatial Diversity And Subject Variability On Wifi-Based Human Activity Recognition, Amany Elkelany, Robert J. Ross, Susan Mckeever

SAML-25 Workshop on Statistical and Machine Learning

In recent years, WiFi-based Human Activity Recognition (HAR) has gained substantial attention due to the ubiquity of WiFi infrastructure and advancements in wireless communication. Unlike camera-based systems that raise privacy concerns or wearable sensors that require user compliance, WiFi-based HAR provides a noninvasive and practical alternative that operates seamlessly with existing infrastructure. WiFi-based HAR leverages fluctuations in wireless signals, particularly Channel State Information (CSI), to passively detect and classify human activities. WiFi-based HAR models often achieve high accuracy in a single environment but suffer significant performance drops when applied to new environments due to variations in spatial settings, human movement, …

Multi-Omic Spatially Resolved Analysis Of The Neuroinflammatory Response To Intracortical Microelectrode Arrays, E. Ricky Chan, Jeffrey R. Capadona

Faculty Scholarship

Intracortical microelectrode arrays (MEAs) are devices implanted into the brain's cortex with the ability to record or stimulate neuronal activity. Unfortunately, MEAs tend to fail over chronic time points, limiting their clinical utility. Chronic failure has largely been attributed to the brain's neuroinflammatory response. Until recently, most of what was understood about the neuroinflammatory response to MEAs was learned through immunohistochemical analysis of small numbers of proteins. More recently, gene expression studies have sequenced thousands of mRNA molecules that contribute to neuroinflammation, but few studies have performed large-scale proteomic analyses. To expand the knowledge of molecular mechanisms involved, we have …

Electrochemically-Assisted Low Power Density Laser Writing On Stainless Steel Via Enrichment Of Chromium Oxides, Zechariah J. Pfaffenberger, Lianlian Liu, Tae Kyong John Kim, Vignesh Venkataramani, Lydia Kisley

Faculty Scholarship

Laser color marking produces nearly permanent, environmentally friendly, vibrant colors on surfaces. However, previous work has used high-power-density pulsed lasers to induce the physicochemical reactions for marking. Here, laser color marking on stainless steel 304 (SS304) is performed with a less expensive continuous wave (CW) laser and a power density five orders of magnitude below that previously reported by combining an electrochemical cell with a fluorescence microscope. Using a combination of optical microscopy, x-ray photoelectron spectroscopy, and bulk electrochemistry, it is demonstrated that the laser-induced luminescence and colors are due to enrichment (32 ± 9% increase) of Cr₂O₃ in the …

Ascertion: Middleware For Content Moderation, Mia Lassiter, Vani Aggarwal

Computer Science and Engineering Senior Theses

The Internet is dominated by a handful of social media platforms that disproportionately control content curation and moderation. As a result, it is increasingly difficult for users to discern verified and credible information from misinformation and disinformation. Middleware is a specialized software with mechanisms to decentralize platform power and reinstate users with autonomy over their online experiences. We propose middleware that gives users the autonomy to create and consume authentic and trusted content. We achieved a proof of concept for a middleware with mechanisms for verifiable content posting and authentication. Our solution is implemented as a Chrome plug-in that provides …

Exploitation Of Plasma Treatment-Assisted Monocarboxylic Cobalt Phthalocyanine Nanorod Growth For High-Efficiency Photodetection Applications, Ahmed Ramzy, Ahmed M. El-Mahalawy, M A. Abd El Ghaffar, Wael A. Abbas

Nanotechnology Research Centre

Here, the effect of cobalt phthalocyanine (CoPC) functionalization by a monocarboxylic group in the form of thermally evaporated thin films followed by plasma treatment for variable time intervals is introduced. The effect of plasma treatment on crystalline structure, molecular structure, and morphology was examined using the XRD, FT-IR, and FE-EEM techniques. Significant modifications were observed in the crystal structure and morphology with increasing plasma treatment time intervals. The plasma treatment for 5 min enhanced the formation of the nanorods along the deposited surface with improved crystallinity. Tracking the optical properties variation of the deposited MCCoPc thin films under plasma treatment …

A Framework For Scalable And Controlled Hallucination Data Collection, Lin Ting Liang

Computer Science Senior Theses

This thesis addresses a key bottleneck in hallucination research: the scarcity and limitations of hallucination benchmark datasets. Existing datasets typically focus on a single type of hallucination and are expensive to produce due to the need for manual prompt creation and annotation. To overcome these challenges, we propose a novel mixture-of-experts (MoE) adversarial framework that actively induces hallucinations. Our framework employs three large language model (LLM) agents that iteratively and adversarially revise prompts to provoke hallucinated responses from a target question-answering model. It automates the generation of both intrinsic hallucinations (logical inconsistencies) and extrinsic hallucinations (inclusion of unverifiable external information). …

Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through An Analytical Hierarchy Process (Ahp), Kwadwo Amankwah, Sarah Hernandez, Suman Kumar Mitra

Civil Engineering Faculty Publications and Presentations

Transportation agencies face increasing challenges in identifying and prioritizing which infrastructure assets are most critical to maintain and protect, particularly amid aging networks, limited budgets, and growing threats from climate change and extreme events. However, existing prioritization approaches often lack consistency and fail to adequately incorporate diverse stakeholder perspectives. This study develops a systematic, stakeholder-informed method for ranking transportation assets based on their criticality to the overall transportation system. As a novel approach, we use the analytical hierarchy process (AHP) and present a case study of the applied approach. Six criteria were identified for ranking assets: annual average daily traffic …

Benchmarking Energy And Performance Of Parallel Machine Learning Models Using Hardware And Software Power Meters, Urooj Asgher, Tania Malik

SAML-25 Workshop on Statistical and Machine Learning

The growing reliance on machine learning algorithms across domains such as healthcare, transportation, and finance has led to their increased deployment on high-performance computing platforms. While performance optimization remains a central concern, energy efficiency is emerging as a critical design consideration, particularly in light of global sustainability goals. This study presents a comparative analysis of the energy consumption and performance of serial and parallel implementations of four machine learning algorithms, K-means clustering, Ant Colony Optimization, Logistic Regression, and Random Search. Experiments were conducted on an HPC testbed using both hardware-based and software-based power meters to measure energy consumption. The results …