Digital Commons Network^™

Continuum Of Academic Collaboration: Issues Of Inconsistent Terminology In Multilingual Context, Cristo Leon Ph.D., James Lipuma Ph.D., Marcos O. Cabobianco, Maria B. Daizo

STEM for Success Resources

Journal of Systemics, Cybernetics and Informatics
1690-4524 (Online)

Multi-Parameter Optimization Of Brine Desalination Using Machine Learning, Elaf Mman Seif

Theses and Dissertations

Air Gap Membrane Distillation (AGMD) is a promising desalination technology with significant potential for addressing global water scarcity. However, the interplay of operational parameters significantly impacts its performance, making optimization a challenging task. This research focuses on brine desalination as a means to mitigate the negative environmental impacts of brine disposal which will eventually help in provide a sustainable solution for handling brine while producing freshwater. The study seeks to develop a predictive model and optimize the AGMD process for efficient brine desalination. To achieve this, Response Surface Methodology (RSM) and Artificial Neural Networks (ANNs) were utilized to develop predictive …

Maximising Solar Pv Potential: A Comprehensive Review Of Factors Affecting Photovoltaic Installation And Generation In A Mild Temperate Oceanic Climate, Aiza Ahmad, Niamh Power, Evan Finnegan

Publications

The urgency of addressing the climate emergency and clean energy transitions have spurred worldwide initiatives to increase utilisation of renewable energy sources. The integration of rooftop photovoltaic panels at domestic level, often underestimated, is a priority across Europe to meet targets of net-zero emissions by 2050. PV systems represent a crucial technology for renewable energy generation and mitigating climate change. However, their performance and potential are influenced by various factors, including environmental conditions, building parameters and geographical factors. This paper demonstrates multiple factors that affect PV potential in mild temperate oceanic climates, using Ireland as a representative case study. Unlike …

Indigenous Cultural Healing In The Pacific Northwest: The Columbia River Tribes And The Potential Return Of The Falls, Cj Senn

University Honors Theses

This thesis examines the historical, cultural, and ecological significance of Celilo Falls (Wyam), a once-sacred Indigenous site on the Columbia River, and the profound impacts of its submergence by The Dalles Dam in 1957. It looks into the history of the area as well as the potential for a return of the falls in the future. Drawing from a mixed-methods approach that includes a systematic literature review and qualitative interviews with Indigenous scholars, elders, and community members, the study explores how the loss of Celilo Falls disrupted Indigenous governance, economies, and spiritual practices. It further investigates how Celilo continues to …

Design And Evaluation Of An Innovative Biomimetic Coral Transport Container, John-Christopher L. Calulo, Wilfredo Y. Licuanan, Leah D. Madrazo, Dana Isabelle P. Villano, Angel Nicole B. Villanueva

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Coral reefs are vulnerable to disruptive human activities such as pollution, overfishing, and coastal development—degrading water quality and reef structures. Active reef restoration entails temporarily relocating several corals to aquaculture facilities to achieve successful rehabilitation; however, current coral transport methods pose certain risks, such as stress-induced mortality, which can result from physical damage during transportation. Existing studies on coral transport have explored various techniques for collecting, shipping, and maintaining live coral specimens. The design consists of petal-shaped areas where the waves gather, akin to a coral reef’s grooves, separated by wedges—the spurs—that cause waves to divide. The different design modifications …

Investigating The Properties Of Eco-Bricks Composed Of Sawdust, Bamboo, And Varying Composition Of Sugarcane Bagasse Ash And Portland Cement, Wilfred Victor C. Marasigan, Julia Sophia Antonia S. Encarnacion, Czyrus Michael A. Bajeta, Alijah F. Gonzales, Juan Carlo T. Gumangan

Sinaya: A Philippine Journal for Senior High School Teachers and Students

With the construction industry contributing nearly 40% of global greenhouse gas emissions, there is a growing need for innovative and sustainable building materials. This research investigates a new eco-friendly concrete brick incorporating sugarcane bagasse ash (SCBA), sawdust, and bamboo fibers. Three eco-brick mixtures, each containing 2% bamboo fiber and 10% sawdust by weight but with varying proportions of Portland cement (PC) and SCBA, were tested against a standard brick for compressive strength, flexural strength, and water absorption. The optimal mixture, with 2% bamboo fiber by weight, 10% sawdust by weight, 85% PC, and 15% SCBA, exhibits compressive and flexural strength …

Elephant, The Zone Of Interest, And Naturalism, Alex Porter

Comm-entary

No abstract provided.

Infallible Or Fallible For Students’ Use? Interdownload And Confessions With Open Ai’ Chatgpt, Aymen Al Qaradaghi

Alustath Journal for Human and Social Sciences

In this study, OpenAI ChatGPT known as a GPT-3 (Generative pre-trained transformer) and the tool of learning has the ability to innovate and generate ideas was interdownloaded. The scope of the study is about the use of OpenAI ChatGPT by students and the impact on them. Several questions were asked and responses received from ChatGPT. Even this study is not the first regarding OpenAI ChatGPT, but the originality of this study is about establishing the idea of students’ blind use of artificial intelligence. The result shows that ChatGPT has advantages and disadvantages on students. Advantages are superficial for students, however, …

Advancing Novel Contrast Agents For Applications In Fluorescence-Guided Neurosurgery Using Fluorescence Cryotomography, Augustino Vittorio Scorzo

Dartmouth College Ph.D Dissertations

Fluorescence guided surgery (FGS) is an emerging surgical technique that aims to help surgeons identify tissue types to assist in surgical decision making - ideally providing “cut-by-color” guidance. A primary application for this approach is the identification of tumor tissue to achieve more accurate and complete tumor removal while simultaneously minimizing damage to surrounding normal tissue. The cornerstone of tumor visualization for FGS is the administration of fluorescent contrast agents, or in some cases metabolic precursors, designed to accumulate specifically in tumor tissue, and a wide range of agents that use different targeting mechanisms are currently under investigation. Although these …

How’S It Growing? Tools For Observing Snow And Sea Ice In A Changing Arctic Ocean, Ian Alexander Raphael

Dartmouth College Ph.D Dissertations

September Arctic sea ice extent has diminished by roughly 50% in the 45 years since satellite observations began. The Arctic Ocean may experience ice-free summers within the next decade, with implications for habitat, resource extraction, geopolitics, and local and global climate change. To predict how Arctic sea ice will change in the future, we need to understand its behavior in the present. In situ sea ice mass balance measurements (snow accumulation, ice growth, snow and ice surface melt, and bottom melt) are essential for studying the processes driving rapid changes in the ice pack, and for validating remote sensing measurements …

Mechanistic Insights Into The Flash Effect: The Role Of Oxygen And Radiation Chemistry In Ultra-High Dose Rate Radiation Therapy, Jacob Pierce Sunnerberg

Dartmouth College Ph.D Dissertations

The development of new cancer therapies focuses on widening the therapeutic ratio between tumor control and normal tissue toxicity. Over the last decade, ultra-high dose rate (UHDR) radiation therapy, commonly known as FLASH radiotherapy (FLASH-RT), has shown promising potential to reduce normal tissue toxicity while maintaining tumor control. However, the underlying mechanisms of the FLASH effect remain poorly understood. This thesis explores the radiation-chemical basis of FLASH-RT, focusing on the role of oxygen and reactive oxygen species in modulating biological outcomes.

A comprehensive set of in vitro studies demonstrated that UHDR delivery significantly alters radiation chemistry compared to conventional dose …

Deep Neural Networks For Particle Identification In Simulated Proton-Proton Collisions At Lhc And Rhic, Omar Mazhar Khalaf

Theses and Dissertations

Particle identification is an essential part of experimental high-energy physics, which allows the study of the most fundamental constituents of matter. This thesis explores the use of deep neural networks for identifying particles in simulated proton-proton collisions at the Large Hadron Collider (LHC) and the Relativistic Heavy Ion Collider (RHIC). The deep neural networks were trained on LHC datasets which have various momentum ranges including regions of high transverse momentum above 3 GeV/c. The key findings of thesis include achieving an accuracy of 99.99%, 98.3%, and 90.14% for 3-5 pt, 5-7 pt and above 7 pt regions respectively for the …

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 …