Digital Commons Network^™

Optimization Of Pile Construction Sequence Using Cfa Machines, Omar Wael Ammar

Theses and Dissertations

In most construction projects with deep foundations, piling activities are critical to the project schedule and often fall on the critical path. The piling construction process requires a diverse range of resources, including equipment, materials, and skilful labour. Without carefully planning the construction process according to installation standards, there is a significant risk of time and cost overruns. These overruns are caused by inefficiencies such as equipment idle or lost time due to required lags between closely spaced piles. Therefore, it is essential to develop an optimized construction sequence to minimize these risks and enhance overall project efficiency. The primary …

An Llm Approach For Automating The Analysis Of Bim (Ifc) Data, Miral Selim

Theses and Dissertations

This thesis introduces a novel methodology for automating the analysis of Building Information Modeling (BIM) data using LangGraph, an advanced extension of the LangChain framework, and integrating Google’s Gemini Large Language Model (LLM) with IfcOpenShell. BIM, and specifically Industry Foundation Class (IFC) files, are widely used in the construction industry for representing and managing building data. However, analyzing this data effectively remains a significant challenge due to its volume and complexity. Additionally, analyzing BIM data typically requires knowledge of different BIM software depending on the application. This research addresses this challenge by creating a workflow that utilizes LangGraph’s ability to …

Image-Based Models For Left Heart Flow Morphodynamics In Hypertrophic Obstructive Cardiomyopathy, Abdelrahman A. Sultan

Theses and Dissertations

Relieving flow obstruction in hypertrophic obstructive cardiomyopathy is highly effective in reducing symptoms and promoting left ventricular remodeling. However, existing characteristics in the disease, such as the systolic anterior motion of the mitral, mitral regurgitation, and papillary muscle motion, and their effect on ventricular flow and vortex formation, have not been thoroughly addressed. This study aims to develop image-based computational fluid dynamics models to evaluate flow morphodynamics in hypertrophic obstructive cardiomyopathy. A computational fluid dynamics model is constructed to investigate the interaction between inflow and outflow in hypertrophic obstructive cardiomyopathy, with a focus on how the motion of the left …

Removal Of Fluoroquinolones From Water Systems Employing Rice Husk Composited Sponges Via Nanoadsorption, Dalia Kanaa

Theses and Dissertations

A novel nanocomposite of polyvinyl alcohol formaldehyde (PVF) sponge loaded with green zinc oxide nanoparticles (ZnONP) and referred to as (NP-PVF) was fabricated as a potential adsorbent of ciprofloxacin from water. A simple mechanical foaming process was used to synthesize the adsorbent. Rice husk extract was used to synthesize zinc oxide nanoparticles (ZnONP) for its phytochemicals as reducing agents. A facile and low-energy-dependent extraction method was used that did not require the use of high-temperature annealing. The synthesized nanoparticles showed a maximum UV absorption at 347 nm, which corresponds to a 3.58 eV band gap energy. FTIR confirmed the successful …

The Dubr/Mir-210-5p/Retsat Axis In Cholesterol-Associated Steatohepatitis: Clinical Signatures And Molecular Mechanisms, Hana Mahmoud Abdelzaher

Theses and Dissertations

Metabolic-associated fatty liver disease (MAFLD) represents an increasing global health challenge, with cholesterol-associated steatohepatitis (CASH) emerging as a distinct pathological entity warranting investigation. While CASH demonstrates unique features compared to traditional triglyceride-driven steatohepatitis, its underlying molecular mechanisms remain poorly understood. This study investigates a novel regulatory axis involving DPPA2 Upstream Binding RNA (DUBR), miR-210-5p, and retinol saturase (RETSAT). 170 patient samples revealed progressive axis dysregulation in disease states, with RETSAT emerging as a highly accurate diagnostic marker (AUC=1.000). Using novel in vitro models of MASH and CASH, we demonstrated that miR-210-5p modulation significantly affects lipid accumulation and cellular phenotype, with …

Development Of Preventive Dental Guidelines In The Primary Healthcare Setting In Egypt: A Delphi Method, Basant Mehriz

Theses and Dissertations

This study addresses the critical need for standardized preventive dental care guidelines within Egypt's primary healthcare system amid the rising burden of oral diseases. Through a systematic two-phase methodology combining a comprehensive literature review and a Delphi consensus-building process engaging 35 dental professionals, the research established priorities for contextually appropriate preventive measures. The consensus framework revealed strong support for clinical interventions (mean of 83% agreement), particularly fluoride-based prevention; community initiatives (mean of 83%), especially school-based programs; policy measures (mean of 77%) such as workforce and educational development, though with variable support for taxation and social determinants approaches. Statistical analysis demonstrated …

Integrated Density Functional Theory And Experimental Study Of Optical And Electronic Properties For Mos2/ (Metal=Au, Pt, Ni, Cu) And Mos2/Graphene/Metal Heterointerfaces, Shishir Timilsena, Sanju Gupta, Muhammad I. Bhatti, Nicholas Dimakis

School of Integrative Biological & Chemical Sciences Faculty Publications

We present computational simulations and experimental analyses of various heterointerfaces constructed from two-dimensional molybdenum disulfide (MoS2) and graphene on gold (Au), platinum (Pt), nickel (Ni), and copper (Cu) substrates. We combined density functional theory electronic structure, optical properties, and work function to elucidate heterostructure changes due to metal selection, corroborated with experimentally determined surface electronic properties. Here, we correlate shifts in the metal d-band center relative to the Fermi energy with the MoS2 bandgaps and bandgaps in the Dirac point region of the MoS2/graphene/Metal heterointerfaces. For the Ni heterointerfaces, the upshift of the metal d-band relative to the Fermi energy …

Mesoscale Modelling For Investigating The Thermo-Mechanical Behaviour Of Geopolymer Concrete, Feiyu Shi, Long Yuan Li, Shanshan Cheng

School of Engineering, Computing and Mathematics

Advancing the understanding of the behaviour of geopolymer concrete subjected to both thermal and mechanical loadings provides valuable assistance in the fire safety design of geopolymer concrete structures. Here in this research, a mesoscale modelling technique was proposed to simulate the free thermal expansion and behaviours of geopolymer concrete subjected to two different loading schemes. Results showed that transient thermal strain was clearly observable in the mesoscale modelling, and due to the existence of transient thermal strain, behaviours of geopolymer concrete under heat-then-load and load-then-heat schemes were quite different. Another further close look at the effect of volume fraction of …

Devices Related To Electrical Fast-Transient Protection And Detection, Cameron D. Harjes

Electrical and Computer Engineering ETDs

Electrical energy from natural occurring phenomena, such as an indirect lightning strike, can electromagnetically couple with nearby electronics thereby generating unwanted electrical fast-transients (EFT) signals in the circuit. Highly energetic EFT can interfere with a circuit’s normal operation or even destroy some circuit components entirely. Mitigating EFT has been a subject of research for decades and led to the development of devices such as lightning surge arresters (LSAs). These devices are critical for the protection of the electrical power grid from lightning induced EFT, however electromagnetic pulses (EMP) and other high-power radio frequency (RF) sources can generate much higher frequency …

Effects Of Androgen Modifying Therapies On Disease Activity In Older Men With Multiple Sclerosis, Burcu Zeydan, Nur Neyal, Nabeela Nathoo, Manu Rangachari, Elizabeth J Atkinson, Jiye Son, Brittani L Conway, W Oliver Tobin, B Mark Keegan, Brian G Weinshenker, Kejal Kantarci, Jiwon Oh, Orhun H Kantarci

Faculty, Staff and Students Publications

Background: Anti-inflammatory properties of androgens were assessed in animal models, but only several clinical studies investigated the effects of androgen on multiple sclerosis (MS). Inflammatory activity in MS often attenuates with aging, and androgen modifying therapies (AMT), which mimic decreased androgen levels, are frequently used in older men. We aimed to investigate if the number of disease activity events would increase in older (≥55 years) male persons with MS (MPwMS) who are on AMT.

Methods: MPwMS with AMT initiation ≥55 years (AMT; n = 60) and without AMT history (no-AMT; n = 80) were included from a clinical-based observational study …

Methodological Memorandum For Michelle Llado-Wrzos' Phd Dissertation, Michelle Llado-Wrzos Ed.D., Cristo Leon Ph.D.

Journal of Roleplaying Studies and STEAM

This methodological memorandum outlines the research approach for Michelle Llado-Wrzos' PhD dissertation, which explores the underrepresentation of women in Science, Technology, Engineering, and Mathematics (STEM) fields. Despite multiple efforts to reduce the gender disparity, female students remain significantly less likely to pursue STEM majors compared to their male peers. The research focuses on assessing the impact of extrinsic motivators—specifically financial incentives and exposure to female role models—on the STEM major choices of female high school students. By adopting a mixed-methods approach, this study thoroughly integrates quantitative surveys and qualitative interviews to examine these motivators.

A quasi-experimental design will assess the …

Narrativas Y Convergencias Transdisciplinarias: Contribuciones Académicas Relevantes, Desafíos Y Horizonte Editorial, Cristo Leon Ph.D.

Journal of Roleplaying Studies and STEAM

La Revista de Estudios sobre Juegos de Rol y STEAM (JRPSSTEAM) se ha consolidado como un espacio transdisciplinario, multilingüe y de acceso abierto que articula investigación, práctica y comunidad en torno a los juegos de rol. En esta editorial, se reflexiona sobre los aprendizajes y patrones emergentes de los tres volúmenes y cinco números publicados hasta la fecha, abordando tanto aciertos como áreas de mejora. Se ofrecen lineamientos prácticos para autores potenciales, destacando errores comunes, criterios de relevancia temática y aspectos que enriquecen la comunicación entre disciplinas. Además, se revaloriza el carácter abierto e inclusivo del JRPSSTEAM, que acoge desde …

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 4 [2025], Número 1 (Issue 1), Ivan Ávila González Phd, Cristo Leon, Romano Ponce-Díaz Phd, Diogo A. Camelo, Alfonso Rincón Vaquero, Edgar Ávila González, Daira Pando Tamayo, Michelle Llado-Wrzos, Leonid Moyzhes, Andrea A. Echeverría Barrios

Journal of Roleplaying Studies and STEAM

La cultura es un diálogo constante con el pasado, el presente y el futuro. Todos nuestros objetos culturales son el resultado causal de las personas que estuvieron antes que nosotros, se actualizan en nuestro proceder en el presente y, les proyectamos al futuro con la esperanza de que aporten algo positivo a las generaciones que estarán delante de nosotros; de tal forma, este Volumen 4 [2025], número 1 (Issue 2) es el resultado directo de la labor de los editores fundadores Mauricio Rangel Jiménez, Miguel Angel Bastarrachea Magnani y todas aquellas personas que trabajaron antes que nosotros para que existiera …

Cutting-Edge Methods For Analyzing Student Behavior In Educational Settings: A Review, Shatha Talib Rashid, Hasanen S. Abdullah

Journal of Soft Computing and Computer Applications

The ability to predict students' performance in educational settings like schools and universities is crucial. A key objective of this effort is to increase academic outcomes and prevent dropout rates, among other benefits. Automating student activities, encouraged by information collected from any technology-based learning tool, has an important role in the process here. Those big quantities of information ought to be completely studied theoretically and processed for gaining worthy insights concerning a student's background as well as interacting with scientific missions, facilitating the development of advanced ways and algorithms to predict students' performance. The current study reviews several contemporary mechanisms …

Blockchain-Based Physical Election Votes Digitally Secure Transfer, Mohanad A. Mohammed, Hala B. Abdul Wahab

Journal of Soft Computing and Computer Applications

Responsibility for maintaining election transparency over time and ensuring democratic values intact is held by the Iraqi Independent High Electoral Commission (IHEC). However, transferring physical election votes from election centers is a critical duty, where many challenges appear regarding accountability and security measures. This study proposes a system that utilizes blockchain technology to solve any challenges or difficulties and ensure an effective and improved election process by providing its highest trustworthiness and legitimacy and ensuring a decentralized security process. This system offers unique blockchain characteristics such as immutability, decentralization, and transparency, providing an extra level of security to the data …

Modern Face Recgognition Systems: A Review Of Methods And Empirical Findings, Zahraa Naji Razoqi, Raheem Ogla, Abdul Monem S. Rahma

Journal of Soft Computing and Computer Applications

The face recognition system is a biometric technique that replaces traditional passwords and personal identification. This research is dedicated to presenting a study of some facial recognition systems. Since it is unlikely to replicate and is more stable over time, the domain of facial feature extraction has proven to be more effective in attaining exact facial recognition, which is important, especially in intelligent security surveillance systems. Face recognition systems encounter several challenges, primarily related to pose variations, illumination conditions, and occlusions such as hair, glasses, and so on. To address these challenges, enhance performance, and boost the accuracy and speed …

Arson Event Detection Using Yolov9, Ali Abbas Abbod, Matheel E. Abdulmunimb, Ismail A. Mageed

Journal of Soft Computing and Computer Applications

Detecting event anomalies is crucial for surveillance systems, as it enables the identification of occurrences in videos, both temporally and spatially. It can identify deviations from patterns without requiring human oversight by learning from past information to distinguish normal behavior and pinpoint irregularities. Early detection of arson fires is critical to mitigating damage, public safety, property, and the environment, as well as saving lives and aiding in law enforcement investigations. The objective of this study is to evaluate a system for detecting events using the You Only Look Once version 9 (YOLOv9) model in surveillance videos with a focus on …

Enhancing Cybersecurity Based On Blockchain Technology: A Systematic Review, Sarah Mohammed Shareef, Rehab Flaih Hassan

Journal of Soft Computing and Computer Applications

Cybersecurity is a crucial component of the security system that guards against unauthorized access to digital transactions. Blockchain is a decentralized ledger used to securely exchange digital currencies and conduct trades and transactions. Blockchain technology has led to significant changes in electronic transactions. The enormous potential is being exploited in many areas such as financial services, real estate, supply chain, and the Internet of Things. Despite being a security system, it has suffered from security threats to sensitive data. Phishing and 51% attacks can circumvent blockchain security, highlighting the need for thorough user education and awareness. Additionally, blockchains based on …

Predicting Earthquake Location Using Convolutional Neural Network-Attention Mechanism Approach, Mohammed A. Jaleel Shaneen, Suhad M. Kadhem

Journal of Soft Computing and Computer Applications

In seismically active areas, earthquake prediction is essential for minimizing potential damages and preserving lives. However, precise forecasts are complicated to achieve because of seismic events’ complex and unpredictable nature. The current study presents an advanced prediction approach to address such issues, combining Convolutional Neural Networks (CNNs) and Attention Mechanism (AM). The primary goal is to improve the accuracy of the earthquake predictions and the generalizability across various mainland Chinese regions. AM layer emphasizes significant features for improving the prediction performance, whereas CNNs are utilized to extract spatial features of seismic data. The efficiency and effectiveness of the proposed approach …

Elemental Analysis Of Sediments In Johnson County, Kansas: Applications In Fluvial Suspended Sediment Tracing, Kiena Campbell

Undergraduate Theses, Capstones, and Recitals

This exploratory study investigates whether bulk elemental analysis of sediment samples using inductively coupled mass spectrometry (ICP-MS) can reveal chemical signatures that identify anthropogenic contributions to sedimentation and increased fluvial suspended sediment loads, and whether these contribution sources can be identified. Human activity, urbanization, and changes in land use increase erosion, resulting in higher-than-natural suspended sediments (SS) in waterways and increasing sedimentation in reservoirs across the state of Kansas. These threats to freshwater storage capacity are especially urgent given the projected rise in freshwater demand in the Great Plains region driven by climate change. Understanding the origin of anthropogenic SS …

Machine Learning: Neural Networking With Relu And Optimization, Aidan Redmond Brownell

Undergraduate Theses, Capstones, and Recitals

At its core, learning is an algorithmic process: it begins with input data, undergoes a series of transformations or computations, and yields an output intended to solve a specific task. This output is then compared against a target or desired result, and the internal mechanisms are updated based on how well the output aligns with expectations. While this feedback-driven process occurs almost effortlessly in humans, it is a far more structured, deliberate, and computationally intensive undertaking for machines.

The Aerodynamics Of Swept, Canted, And Slotted Winglets, Andrew K. Mahler

Mechanical Engineering Master's Theses

Winglets have been used to improve the aerodynamic performance of wings. They do this by decreasing the lift induced drag that is experienced by the wing. The winglet modifies the wingtip vortex generated by adjusting both its size, location and strength. Motivated by previous research on the manipulation of wake vorticity through the use of a forward or backward sweep discovered originally when investigating crescent wings, the presented work investigates the role of sweep, cant and slots on winglets. Sweep was first applied to positive and negative canted wings with a symmetric airfoil, the ONERA M6. The wing flows were …

How To Start (Or Stop) A War On Crime: A Conceptual Cookbook, Brandon E. Beck

Georgia State University Law Review

Beginning in the early 1990s, the Executive Branch began an era of enforcement of federal firearms crime that was different in kind and degree from the prior seventy-five years. The federal crime policies of the 1990s and 2000s led to a significant increase both in the total number of federal firearms prosecutions and in how often mandatoryminimum statutes were charged. But later, in the 2010s and 2020s, there were times when the number of firearms prosecutions stabilized, and the number of mandatory-minimum sentences decreased. This Article seeks to use federal firearms prosecutions, in this era of enforcement, as a lens …

Taxing Morality: How Tax Law Defines Wealth, Justice, And Fairness, Doron Narotzki, Tamir Shanan

Georgia State University Law Review

Tax law is more than a fiscal framework; it is a moral compass that shapes society's values, governing who bears the burden and who reaps the benefits. Hidden within the tax code are moral judgments on wealth, privilege, responsibility, and fairness, making taxation one of the most profound expressions of social ethics. This Article argues that the tax system is not just a mechanism for raising revenue but is, and should continue to be, a legal tool for enforcing collective moral decisions about justice and equity. As the wealth gap widens and public discourse intensifies around tax fairness, the question …

What's Freedom Got To Do With It? Occupational Freedom And The Illusion Of Choice, Bojan Perovic

Georgia State University Law Review

This Article critically examines the concept of occupational freedom, arguing that the legal right to choose and pursue a profession, as enshrined in many constitutional systems, remains largely theoretical for vast segments of the population. While legal frameworks recognize occupational freedom, socioeconomic barriers, systemic discrimination, and cultural norms continue to impede genuine access to professions. Using historical examples like the exclusion of women from the legal profession or racial segregation under apartheid, this Article illustrates how law can act as both an instrument of oppression and a tool for progress.

Through a comparative analysis of case law from Germany, South …

Artificial Intelligence And The Self-Represented Inventor, Brenda M. Simon

Loyola of Los Angeles Law Review

Lack of access to competent legal representation is pervasive throughout the justice system. Unfortunately, the patent system is no exception. Self-represented inventors are far less likely to obtain patents than those with legal representation. Increasing access to artificial intelligence (AI) can mitigate some of the disadvantages of self-representation, but using AI will also raise new challenges. To the extent that AI systems can help self-represented inventors, they can begin to address one of the underlying causes of the patent gap—lack of access to high-quality legal services. While AI is no substitute for legal representation, it can be incorporated into the …

Great Work Is Done While We Sleep, Julie Wildschut

University Faculty Publications and Creative Works

No abstract provided.

Improving Culinary Informatics Through Meaningful Social Web Engineering, Suraya Nurain Kalid, Fahmi Mikail Fahrid, Sin-Ban Ho

Journal of Informatics and Web Engineering

This paper gives a good reflection about social web engineering aspirations to ardently see the truth to enlighten culinary concentration and wisdom. With the compassionate path to discover food and engage customers to share content with loving kindness spread to every corner. There are so many features realized, which include direct interfaces through intuitive interfaces to lead the daily food streamlining. May one engaged with constructive creation to grow compassions in every culinary living sharing. Contentment would develop in our heart involved in different phases put forward in this paper. The initial phase begins with honesty in planning and design. …

History In Motion: Applying The Archival Collections Of Frank And Lillian Gilbreth’S Time And Motion Studies To Business Education, Annette Bochenek

Libraries Faculty and Staff Scholarship and Research

No abstract provided.

Basic Theory And Implementations Of Quantum Error Correction, Derek Rodriguez

Undergraduate Theses, Capstones, and Recitals

The introduction of quantum computing has presented algorithmic solutions to computationally difficult challenges that are far more efficient than those of classical computers. These algorithms leverage the properties of quantum mechanics to manipulate the quantum properties of subatomic particles, requiring immense precision and stability. Current quantum hardware, however, is too noisy and introduces too many errors for these algorithms to be useful in practice, necessitating the use of error correction algorithms. This field survey seeks to introduce various principles of quantum mechanics relevant to quantum computing and quantum error correction (QEC), detail the implementation and motivations of a basic QEC …