Digital Commons Network^™

Evaluation Of A First Flush System With Multiple In-Line Bypassing Fuel Separator Components In The Industrial Area Of An Airport, Kazi Rashid

Civil Engineering Dissertations - Archive

ABSTRACT: This dissertation explores the effectiveness of a complex system employed to capture the first flush (FF) generated from industrial activities occurring at an airport. The First Flush System (FFS) utilized by the DFW International Airport is comprised of multiple in-line bypassing fuel separators and located in many parts of the Air Operations Area (AoA) of the airport as well as maintenance areas. The system collects and conveys a portion of the rainfall runoff generated from the drainage areas of the industrial land-use portion of the DFW airport to a Stormwater Pre-treatment Plant (SWPTP) and then to Trinity River Authority …

The Impact Of Improper Solid Waste Management On Public Health Of African Cities. The Case Of Addis Ababa City, Ethiopia., Tesfaye Abebe Alemu

Civil Engineering Dissertations - Archive

Many African cities are generating an ever-increasing amount of waste and the effectiveness of their solid waste collection and disposal systems is currently declining. Therefore, research has been striving to develop a sustainable and integrated solid waste management system that fits the current challenges facing the local environment. The objective of this study is to analyze the impact of improper solid waste management that affects the air and water quality of the near Koshe open dump site and around the Addis Ababa City, and their adverse effect on the public health living around them. The rapid increase of population in …

The Road Map For Sustainable Waste Management In The Federal Democratic Republic Of Ethiopia, Assegid Yimenu

Civil Engineering Dissertations - Archive

Solid Waste Management (SWM) is a global issue from its social, environmental, and economic aspects. Poor SWM is one of the significant causes of resource degradation, environmental pollution, and public health problems. In this study, households’ solid waste generation and characterization were determined for selected cities in Ethiopia. Quantitative and qualitative study methods were applied to collect primary and secondary data to assess the household’s MSW generation rate and characterize the waste type's physical composition. The households’ daily MSW generation rates in Bole and Kirkos sub-cities, Addis Ababa, were found to be 0.54 and 0.26 Kg/capita/day, respectively, and the average …

$752,000 Usda Grant Will Help Researchers Prevent Food Contamination, University Of Dayton

Blog: The Dayton Engineer

A pair of University of Dayton researchers are part of a $752,000 grant from the U.S. Department of Agriculture to help prevent Listeria and other contamination in food.

Summer Co-Ops And Internships Build Skills And Resumes, University Of Dayton

Blog: The Dayton Engineer

During the summer, hundreds of engineering students are completing co-op and internship experiences in Dayton and beyond.

Pitfalls In Machine Learning-Based Assessment Of Tumor-Infiltrating Lymphocytes In Breast Cancer: A Report Of The International Immuno-Oncology Biomarker Working Group On Breast Cancer, Jeppe Thagaard, Glenn Broeckx, Chowdhury Arif Jahangir, Sara Verbandt, Rajarsi Gupta, Reena Khiroya, Khalid Abduljabbar, Gabriela Acosta Haab, Balazs Acs, Shahin Sayed

Pathology, East Africa

Abstract: The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results. We review state-of-the-art approaches and identify pitfalls and challenges of automated TIL evaluation by studying the root cause of ML discordances in comparison to manual TIL …

Spatial Analyses Of Immune Cell Infiltration In Cancer: Current Methods And Future Directions: A Report Of The International Immuno-Oncology Biomarker Working Group On Breast Cancer, David Page, Chowdhury Jahangir, Sara Verbandt, Rajarsi Gupta, Jeppe Thagaard, Reena Khiroya, Zuzana Kos, Khalid Abduljabbar, Sunil Badve, Shahin Sayed

Pathology, East Africa

Abstract: Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described …

The Mediating Role Of Security Anxiety In Internet Threat Avoidance Behavior, Xuan Wang, Yaojie Li, Hanieh Javadi Khasraghi, Cherie Trumbach

Management and Marketing Faculty Publications

In the prior technology threat avoidance literature, inconsistent results are found in examining the relationships between individuals’ perceived susceptibility, perceived severity, and perceived threat, as well as the intention to avoid security threats. One possible explanation for this paradox is lacking consideration of the role of individuals’ negative emotions while facing threats, which is rarely studied before. Therefore, the current study aims to extend the landscape of technology threat avoidance theory by exploring the role of security anxiety in individuals’ responses to security threats from the Internet. Our results demonstrate that Internet users’ risk aversion is strongly influenced by their …

Phase Stability Of Lead Phosphate Apatite, Jiahong Shen, Dale Gaines Ii, S. Shahabfar, Zi Li, Dohun Kang, Sean Griesemer, Adolfo Salgado-Casanova, Tzu-Chen Liu, Yi Xia, Multiple Additional Authors

Mechanical and Materials Engineering Faculty Publications and Presentations

Recently, Cu-substituted lead apatite LK-₉₉ was reported to have room-temperature ambientpressure superconductivity. Here we utilize density functional theory (DFT) total energy and harmonic phonon calculations to investigate the thermodynamic and dynamic stability of two lead phosphate apatites in their pure and Cu-substituted structures. Though Pb₁₀(PO₄)₆O and Pb₁₀(PO₄)₆(OH)₂ are found to be thermodynamically stable (i.e., on the T=₀K ground state convex hull), their Cu-substituted counterparts are above the convex hull. Harmonic phonon calculations reveal dynamic instabilities in all four of these structures. Oxygen vacancy formation …

Analysis Of Interprofessional Education Inclusion Within U.S. Dental Hygiene Programs’ Curricula, Jennifer M. Pacheco

Dental Hygiene ETDs

The purpose of this study was to collect information on the implementation of IPE activities within U.S. dental hygiene programs and whether program faculty are implementing these components into their program curricula. Furthermore, the study would identify which types of IPE activities were being conducted and if these activities met the CODA standards. An original survey was sent out to dental hygiene program directors and faculty. Results revealed both programs agreed that IPE is a significant component to include in hygiene curricula to better equip students as members of the healthcare team to deliver comprehensive care. IPE activities implemented were …

Examining The Effects Of Iron-Oxide Nanoparticles On Primary Gingival Keratinocytes For The Prevention Of Oral Disease, Jennifer C. Carranza

Dental Hygiene ETDs

Oral plaque biofilm has been identified as the primary contributor to dental conditions such as dental caries and periodontal disease that promotes a diverse and pervasive collection of microbial species to inhabit the oral cavity. Disrupting the plaque matrix early could help combat this global disease burden. This study evaluated the effect of IONPs on primary gingival keratinocytes.

Purpose: This study aimed to examine existing research regarding nanoparticles and determine if IONPs affect the PGK cell membranes with preliminary research to find the maximum lysis possible with PGK cells.

Methods: IONP core/shell syntheses were performed. Considering keratinocyte characteristics, examining data …

Visualizing Transaction-Level Modeling Simulations Of Deep Neural Networks, Nataniel Farzan, Emad Arasteh

Engineering Technical Reports

The growing complexity of data-intensive software demands constant innovation in computer hardware design. Performance is a critical factor in rapidly evolving applications such as artificial intelligence (AI). Transaction-level modeling (TLM) is a valuable technique used to represent hardware and software behavior in a simulated environment. However, extracting actionable insights from TLM simulations is not a trivial task. We present Netmemvisual, an interactive, cross-platform visualization tool for exposing memory bottlenecks in TLM simulations. We demonstrate how Netmemvisual helps system designers rapidly analyze complex TLM simulations to find memory contention. We describe the project’s current features, experimental results with two state-of-the-art deep …

Accurate And Efficient Modeling For Magnetic Resonance-Guided Focused Ultrasound Treatment Planning, Christopher R. Dillon

BYU Research Development Office Research Networking Conference

Focused ultrasound, cancer, computational modeling, deep learning

Tribology And Biomaterials Research Lab, Quentin Allen

BYU Research Development Office Research Networking Conference

Friction, wear, lubrication, biocompatible materials, advanced manufacturing

Team Clot, Dario Mizrachi

BYU Research Development Office Research Networking Conference

Protein Engineering (Membrane proteins)
Transient modulation of tight junction for drug delivery

Whitewater Sound Dependence On Discharge And Wave Configuration At An Adjustable Wave Feature, Taylor A. Tatum, Jacob F. Anderson, Timothy J. Ronan

Geosciences Faculty Publications and Presentations

Stream acoustics has been proposed as a means of monitoring discharge and wave hazards from outside the stream channel. To better understand the dependence of sound on discharge and wave characteristics, this study analyzes discharge and infrasound data from an artificial wave feature which is adjusted to accommodate daily changes in recreational use and seasonal changes in irrigation demand. Monitorable sound is only observed when discharge exceeds ∼35 m³/s, and even above that threshold the sound-discharge relationship is non-linear and inconsistent. When sound is observed, it shows consistent dependence on wave type within a given year, but the …

Digitalisation Of The Teaching And Learning For International Students In Higher Education: A Systematic Review, Thinh Huynh, Ly Thi Tran

Journal of Comparative & International Higher Education

No abstract provided.

Faults Segmentation In Levee Systems Using Deep Learning Approaches, Manisha Panta

LSU New Orleans Theses and Dissertations

Levees are earthen structures constructed to mitigate flooding in low-lying areas. Although levee systems can reduce flood risks, they cannot completely eliminate them. Failures within flood control systems due to inadequate maintenance or strong water currents can lead to significant property damage and catastrophic loss of life, as was seen during Hurricane Katrina. Consequently, regular inspections are essential to identify and address any issues with the levees promptly. However, current inspection methods rely on manual techniques that are time-consuming, labor-intensive, and prone to human error. Therefore, this study proposes using deep learning models for more efficient and frequent assessment of …

Integrating Social And Environmental Impacts Of Green Transportation Infrastructure : A Framework For Effective Decision-Making, Md Kamrul Hasan Sabbir

Masters Theses and Doctoral Dissertations

Green Infrastructure (GI) gains recognition as a viable alternative to traditional infrastructure due to its economic, environmental, and social benefits. However, quantifying and monetizing GI's social and environmental impacts pose challenges, leading to their neglect in comparative evaluations. To heighten GI's appeal, this study introduces a novel framework that incorporates social and environmental impacts and public opinion using the Analytical Hierarchy Process and Monte Carlo simulation. The framework offers a comprehensive approach to evaluate GI's impact. Findings from a Philadelphia project demonstrate that projects with more GI elements are cost-effective when considering public opinion and long-term benefits. The research emphasizes …

Improving Traffic Management Efficiency Through Reinforcement Learning-Based Traffic Signal Control And Citywide Transit Simulation, Viet Toan Tran

Masters Theses and Doctoral Dissertations

Traffic congestion reduces productivity and harms the environment. Enhancing traffic signal control and public transportation are effective solutions. However, prior research has limitations stemming from the absence of real-time reliable data. Recent computer vision systems have made collecting traffic data easier. This thesis explores leveraging these data sources to enhance existing traffic signal controls (TSCs) and citywide transit simulations. For TSC, a comprehensive framework that facilitates rapid prototyping of reinforcement learning (RL) and an automatic feature engineering method are proposed. Additionally, RL techniques are implemented to a digital twin of Chattanooga smart corridor. Regarding transit simulations, a toolkit for calibrating …

Log File Anomaly Detection Using Knowledge Graphs And Graph Neural Networks, Lucas Payne

Masters Theses and Doctoral Dissertations

Log files contain valuable information for detecting abnormal behavior. To detect anomalies, researchers have proposed representing log files as knowledge graphs (KGs) and using KG completion (KGC) techniques to predict new facts. However, current research in this area is limited, and there is no end-to-end system that includes both KG generation and KGC for log-based anomaly detection. In this study, we present an end-to-end system that utilizes graph neural networks (GNNs) and KGC to detect anomalies in log files. The proposed system has two main components. The first component employs templates to generate a KG from logs that capture normal …

An Application Of The Banzhaf Values For Cooperating Among Producers Of Waste Processing In The Al-Mahmudiya Factory, Huda Hadi, Jabbar Abbas

Baghdad Science Journal

The game theory has been applied to all situations where agents’ (people or companies) actions are utility-maximizing, and the collaborative offshoot of game theory has proven to be a robust tool for creating effective collaboration strategies in a broad range of applications. In this paper first, we employ the Banzhaf values to show the potential cost to waste producers in the case of a cooperation and to reduce the overall costs of processing non-recyclable waste during cooperation between producers. Secondly, we propose an application of the methodology to study a case for five waste producers' waste management in the Al-Mahmudiya …

Corrosion Inhibition Of Medium Carbon Steel In The Acidic Medium Using Alcoholic And Aqueous Extract Of Kujarat Tea Plant, Suhad S. Mohammed, Layla A. Aljebur

Baghdad Science Journal

This study deals with the corrosion inhibition of metal corrosion process of medium carbon steel using 1M HCl for kinetic studies and rate reaction determination. The weight loss method is applied to pieces of Medium carbon steel divided to Cubans with dimensions (0.4*2*2.4) cm , and use Tafel Extrapolation Method, the samples were polished using carbide silicon paper with dimensions of (180,200,400,600,800,1000). The samples were immersed in the alcoholic medium ethanol at a temperature 293K for 3hr. Natural inhibitor Kujarat Tea (Hibiscus sabdarriffa L.) is used which is extracted in aqueous and alcoholic medium, different concentrations (1000،2000, 3000) ppm have …

The Effect Of Electrospinning Parameters On Morphological And Mechanical Properties Of Pan-Based Nanofibers Membrane, Haneen S. Al-Okaidy, Basma I. Waisi

Baghdad Science Journal

The electrospun nanofibers membranes (ENMs) have gained great attention due to their superior performance. However, the low mechanical strength of ENMs, such as the rigidity and low strength, limits their applications in many aspects which need adequate strength, such as water filtration. This work investigates the impact of electrospinning parameters on the properties of ENMs fabricated from polyacrylonitrile (PAN) solved in N, N-Dimethylformamide (DMF). The studied electrospinning parameters were polymer concentration, solution flow rate, collector rotating speed, and the distance between the needle and collector. The fabricated ENMs were characterized using scanning electron microscopy (SEM) to understand the surface morphology …

Using Microalga Coelastrella Sp. To Remove Some Nutrients From Wastewater Invitro, Muzhda Qasim Qader, Yahya Ahmed Shekha

Baghdad Science Journal

Microalgae have been increasingly used for wastewater treatment due to their capacity to assimilate nutrients. Samples of wastewater were taken from the Erbil wastewater channel near Dhahibha village in northern Iraq. The microalga Coelastrella sp. was used in three doses (0.2, 1, and 2g. l-1) in this experiment for 21 days, samples were periodically (every 3 days) analyzed for physicochemical parameters such as pH, EC, Phosphate, Nitrate, and BOD5, in addition to, Chlorophyll a concentration. Results showed that the highest dose 2g.l-1 was the most effective dose for removing nutrients, confirmed by significant differences (p≤0.05) between all doses. The highest …

University Of Central Florida Graduate Catalog, 2023 - 2024, University Of Central Florida

UCF Catalogs

No abstract provided.

Cyber Attack Surface Mapping For Offensive Security Testing, Douglas Everson

All Dissertations

Security testing consists of automated processes, like Dynamic Application Security Testing (DAST) and Static Application Security Testing (SAST), as well as manual offensive security testing, like Penetration Testing and Red Teaming. This nonautomated testing is frequently time-constrained and difficult to scale. Previous literature suggests that most research is spent in support of improving fully automated processes or in finding specific vulnerabilities, with little time spent improving the interpretation of the scanned attack surface critical to nonautomated testing. In this work, agglomerative hierarchical clustering is used to compress the Internet-facing hosts of 13 representative companies as collected by the Shodan search …

Does The Community Choice Aggregation Approach Advance Distributed Generation Development? A Case Study Of Municipalities In California, Robin M. Rotman, Jun Deng

Faculty Publications

Globally, decentralized energy systems are gaining popularity due to their potential for energy accessibility, energy resilience, and sustainability benefits. Existing research on an energy system decentralization approach, community choice aggregation (CCA), shows its ability to lower energy costs and increase renewable electricity consumption for U.S. communities. Nevertheless, research on the relationship between CCA and distributed electricity generation development is lacking. This paper fills this gap by investigating if the CCA approach associates with distributed generation capacity interconnection in California municipalities. The finding shows that although the average capacity has increased for all municipalities throughout the study period, contrary to proponents’ …

The Guardian The Month Of August 2023, Wright State Student Body

The Guardian Student Newspaper

News articles from The Guardian for the Month of August 2023. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.

A Novel Brain Computer Interface Design, Steven Vogan

Senior Honors Theses

A brain computer interface (BCI) is a system which connects neural signals to a computer system. They have been used for controlling systems including robotics, on-screen computer control such as mouse movement, typing, and synthesizing audio signals. Invasive, or implanted, systems are often long-term medical solutions, or used for research where very clear signal is required. Non-invasive systems usually rely on exterior signals gathered through a headset using one or more electrode sensors. These signals are composed of sums of neuron activation potentials from brain activity and can be used to determine particular aspects of brain function. All BCIs rely …