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DePaul Magazine

From promotions to performances, see the latest accomplishments by DePaul alumni across class years and generations.

Climate Change Impacts On Dryland Ecosystems, Tanner Tainui Aiono

Theses and Dissertations

Dryland ecosystems are some of the most prevalent ecosystems on Earth and have recently shown stress indicators from climate change. These water-limited systems are vulnerable to increases in temperature and changes in precipitation, especially when looking at carbon cycling dynamics across biological sol crusts and vegetation mortality patterns. This dissertation aims to 1) evaluate how precipitation dynamics, vegetation location, and microclimate conditions influence biological soil crust carbon conditions, and 2) evaluate how topographic influences drive patterns of plant mortality during prolonged drought on the Colorado Plateau. Using high-resolution monitoring of long-term NEE chambers, we found that intermediately disturbed biocrusts are …

The Impact Of Positive-To-Negative Teacher Interaction Ratio On Student Performance, Naomi L. Phillips

Theses and Dissertations

Challenging behavior is a growing problem for teachers. Praise has been promoted as a positive strategy for addressing problem behavior. The ratio of praise-to-correction (positive-to-negative) may be important to the effectiveness of praise. A 4:1 ratio has been recommended as optimal to improve student performance. This ratio has never been experimentally tested. There is little known of the feasibility and social validity for maintaining a high positive-to-negative ratio. The purpose of this study was to evaluate the effect of a 4:1 positive-to-negative ratio (PNR) on problem behavior and academic performance of junior high students with an intellectual disability classification in …

Development Of Sensing Capabilities For Agricultural Robotics, Carter Noh

Theses and Dissertations

Agricultural robotics is a rapidly growing industry with the possibility to revolutionize food production. Agricultural robots often require custom sensing solutions to perform specific tasks. Developing the appropriate sensing capabilities for an application is therefore an important step in the automation process. In this thesis I present two case studies in developing sensing capabilities for agricultural robotics applications. First, I introduce a sensor that can provide simultaneous measurements of force and position. The sensor was developed to enable high-throughput measurement of maize stalk stiffness on a robot platform. It uses multiple sets of strain gauges on a cantilever beam to …

Extracting Speech Content From High-Amplitude Background Machine Noise, Curtis L. Garner

Theses and Dissertations

The research presented in this dissertation aims to address the need for improved communication between heavy machinery operators and external personnel, aiming to improve safety and efficiency by overcoming the communication barriers posed by equipment noise and cab insulation. The primary purpose of this research was to develop a hands-free communication system that allows the operator to hear speech from outside the cab without requiring any personal communication devices like radios or headsets. Key objectives included effective speech extraction from ambient noise and accurate estimation of the location of the speaker. Operating without active user control, the system emphasizes clarity …

Surface Chemistry And Adsorption Mechanism Of Orfom® D8 For Cu Depression In Cu-Mo Flotation, Patrick Jeff Mensah

Graduate Theses & Non-Theses

In traditional chalcopyrite-molybdenite (Cu-Mo) flotation separation systems, inorganic depressants such as NaSH and NaCN are used to selectively depress chalcopyrite making it more hydrophilic so molybdenite can be floated and recovered. NaSH and NaCN are highly toxic, have high explosion potential, strong odor, and readily oxidize in air resulting in a high consumption rates. To control oxidation, nitrogen gas, and Nokes reagent are both necessary, making the process even more expensive. In addressing these challenges, attention is fast shifting to disodium carboxymethyl trithiocarbonate (Orfom® D8), a novel organic depressant designed to replace conventional inorganic depressants because it does not easily …

Denmark’S Depth Model Version 2.0 – Improved Compilation Of Bathymetric Data Within The Danish Waters, Giuseppe Masetti, Philip Sigaard Granding, Kasper Langdahl, Lasse M. Schwenger, Kristian V. Kristmar

Center for Coastal and Ocean Mapping

Denmark’s Depth Model version 2.0 (DDM v2.0) is the latest iteration of a Digital Bathymetric Model (DBM) for Danish waters, offering a grid resolution of 50 meters. The compilation integrates hundreds of survey datasets, including both modern and historical sources, as well as satellite-derived and crowdsourced bathymetric data. The model is referenced to Mean Sea Level (MSL) datum and – due to the adopted compilation process – is not designed for safety of navigation. DDM v2.0 is accessible through the Danish Geodata Agency's website and constitutes a significant contribution to the European Marine Observation and Data Network (EMODnet) Bathymetry initiative.

Has K-Pop Lost Its Koreaness?, Madison J. Gusler

Capstones

Since the 2010s, the global expansion of K-pop has been undeniable, with music from Korean idol groups resonating with fans around the world. We’ve seen the industry adapt to cater to this global audience, placing emphasis on non-verbal aspects of performance such as choreography and set design, and integrating more English lyrics in their songs. K-pop has always had multinational, multicultural influences in its production, yet the music has remained distinctly Korean. But as the industry expands into new markets, faces new challenges, and adapts to convey greater global appeal, the public must contend with the idea of a K-pop …

Chronic Disease Screening And Detection In Vulnerable Populations, Courtney J. Seman, Hussein Hadid, Tania Jaimes, Robert Walls

Master's Projects and Capstones

This quality improvement project aims to address gaps in chronic disease screening by implementing standardized protocols for diabetes, hypertension, vision impairment, and scoliosis within the University of San Francisco (USF) Nurse-Led Clinic in Orange County. Problem: The clinic identified a lack of screening practices, which limited early detection and intervention for two specific vulnerable populations. Context: The clinic serves two high-risk groups: older adults, including formerly homeless individuals, and children in two local grade schools. These populations face significant healthcare disparities, making early detection of chronic conditions critical. Interventions: Guided by Kotter’s Change Theory, the project developed and implemented evidence-based …

Sleep To Heal: Creating A Quiet At Night Environment, Victor Marie V. Blardony

Master's Projects and Capstones

Problem: Noise in hospitals disrupts patient well-being, recovery, and satisfaction. A 120-bed community hospital in South San Francisco consistently scored below the national average for nighttime quietness (Medicare, 2023).

Context: Over six months, a multidisciplinary committee launched the Quiet at Night (QAN) Program, focusing on the high-acuity telemetry unit. The program utilized Kotter’s 8 Steps Model and the Institute for Healthcare Improvement Model for Improvement (MFI) to tackle nighttime noise issues.

Interventions: Quiet hours were established from 8:30 p.m. to 6:00 a.m. Patients were provided an “Enhanced Sleep Menu” that included a sleep sound machine and “sleep kits” (eye masks …

Campaigns, Climate, And Congestion: Reporting From The Hudson For Newmark's "Audio Files", Jesse King

Capstones

"Audio Files" is an annual news podcast series by students at CUNY's Craig Newmark Graduate School of Journalism, producing stories to "inform, help, and delight" New Yorkers. This capstone includes a collection of political news stories and science features written for this program, all of which are based in New York's Hudson Valley. The first is a political piece breaking down how Congressional races in the suburbs could impact overall control of the House in the 2024 election. The second focuses on the Metropolitan Transportation Authority's approval of a new congestion pricing plan in Manhattan, as proposed by New York …

How Will Ai Impact Knowledge Sharing Within Construction Clustering? Bringing Back The Conversation On Social Contagion Within Construction Clusters, Oluwasegun O. Seriki, Mark Mulville, Ruairi Hayden

Conference Papers

Construction clusters and innovation systems play a crucial role in enhancing competitiveness and fostering sustainable development in the construction sector. These clusters facilitate knowledge sharing, interactive learning, and collaborative innovation among firms, institutions, and other stakeholders. The success of construction clusters depends on numerous factors, including firm size, economic climate, and attitudes towards innovation. While some clusters transform into innovation systems by becoming tacit-knowledge intensive, there is not much data or investigation into how they may adapt to changing demands spurred by advances in artificial intelligence (AI). There is some preliminary research highlighting the lack of dispersed innovation networks within …

Advanced Models For Linking Process In Data Washing Machine, Bushra Sajid

Theses and Dissertations

Entity Resolution (ER) is a critical process in data integration and quality improvement that identifies and links multiple records referring to the same real-world entity. As data volumes and heterogeneity increase, traditional ER methods face new challenges, prompting research into more advanced techniques. The Proof-of-Concept Data Washing Machine (DWM), developed under the NSF DART Data Life Cycle and Curation research theme, aims to automatically detect and correct data quality errors through unsupervised entity resolution. Recent research focuses on enhancing DWM's effectiveness by replacing rule-based methods with machine learning and deep learning approaches, particularly in the linking process. Deep learning models, …

Development Of Novel Nanocarriers With Multi Modal Action Against Lung Cancer, Gayathri K

Theses and Dissertations

Lung cancer ranks among the top causes of cancer-related deaths worldwide. The deteriorating environment and unhealthy lifestyle in the modern era has further contributed to the exponential increase in lung cancer incidence across the globe. Lung cancers fall under two major types based on the location of the tumour in the lung namely, small-cell lung cancer (SCLC) which is more aggressive, and non-small-cell lung cancer (NSCLC) which is more prevalent. Late diagnosis has been a major cause for poor prognosis as the cancer is detected only in an advanced stage.

Conventional therapies like chemotherapy, surgery and radiotherapy against lung cancer …

Sustainable Series Of New Epoxidized Castor Oil-Based Thermosets With Reprocessable Properties, Enanshu Chaudhari

Electronic Theses & Dissertations

This research will focus on the development and characterization of bio-based thermosets using epoxidized castor oil (ECO) and a range of dicarboxylic acids, namely 2,2'-dithiodiglycolic acid (DTGA), 3,3'-dithiodipropionic acid (DTPA), and 4,4'-dithiodibutyric acid (DTBA). The objective will be to synthesize environmentally sustainable thermosetting materials with tunable thermal and mechanical properties. The crosslinking between the epoxy groups in ECO and the carboxyl groups in the dicarboxylic acids will be confirmed using Fourier-transform infrared spectroscopy (FTIR), demonstrating the successful formation of ester linkages. Differential scanning calorimetry (DSC) will reveal that DTGA-based thermosets exhibit higher glass transition temperatures (Tg) due to shorter chain …

Assessing Ecosystem Health Of A Completed Mitigation Bank Projects In California: Case Study Analysis, Alexandra I. Novoa

Master's Projects and Capstones

Wetlands are among the most productive ecosystems in the world, providing essential ecological functions. These functions include water purification, flood protection, shoreline stabilization, and more. Due to increasing urbanization and development, preserving wetlands is critical. Mitigation Banks combat the loss of wetland acreage from unavoidable development. Mitigation banks were developed to offset the adverse effects of development on wetlands. However, more research is needed on the effectiveness of these mitigation banks in restoring ecologically significant wetland acreage.

Key metrics, including soil health, hydrology, and microbial functionality, were analyzed from literature and restoration project reviews to identify opportunities for improving mitigation …

Discrete Particle Dynamics Models: Computational Aspects And Applications, Yuxuan Wu

Doctoral Dissertations and Master's Theses

Particle dynamics considers discrete particles as Newtonian point masses in diverse domains such as, pedestrian particles in pedestrian movement modeling and molecules in material science modeling. These dynamic modeling approaches share a commonality in computational approach where a series of ordinary differential equations are solved for the particle’s motion and equilibrium under active interactions and boundary conditions. In general, particle dynamics approaches are computationally intensive and address problems that require a vast parameter design space. In this dissertation, a computational paradigm is developed for large-scale particle dynamics modeling and demonstrated by three process design applications, (a) infection risk modeling for …

Implementation Of A Daily Engagement System Board (Desb) To Improve Hospital Staff Communication, Catherine Villanueva

Master's Projects and Capstones

Implementation of a Quality Improvement (QI) project to help improve staff communication between shifts at an Inpatient Acute Psychiatric Unit was determined to be of immense need. This unit is part of a large acute medical hospital. Currently, the end of shift report consists of a verbal report along with a robust printed end of shift report consisting of shift related information. This printed end of shift report can have as many as seven to nine pages thus causing information overload and decreases prioritized patient information. Furthermore, missed information or too much information can be provided in the verbal shift …

Lignin Cationization For The Removal Of Phosphates And Nitrates From Effluents Of Wastewater Treatment Plants, Fannyuy V. Kewir

LSU Master's Theses

The removal of phosphates and nitrates from wastewater treatment plant (WWTP) effluents is important for preventing pollution of receiving waters. In this study, we chemically modified alkaline lignin (aLN) with quaternary ammonium groups to obtain biodegradable cationic lignin (cLN). We characterized the cLN and tested its efficacy for removing phosphates and nitrates in a lab setting and on field-collected WWTP samples. Adsorption isotherm and kinetic studies were performed in aqueous media, and the effects of several variables (contact time, pH, initial concentration, and adsorbent dose) were investigated. The Langmuir isotherm described phosphate and nitrate adsorption well, with R2 values of …

Msw Portfolio, Melissa Sue Wells

Graduate Student Portfolios, Professional Papers, and Capstone Projects

This portfolio showcases examples of the work I have completed throughout my master's program.

Persons Or Human-Mimicking Robots? Implications Of Ai For Moral Status, Kate Burckle, Catherine Peters

Honors Thesis

Rapid progress in the field of Artificial Intelligence (AI), in which AI technologies can now perform human tasks, e.g. hold advanced conversations, cook, clean, and navigate harsh terrain, blurs the line between humans and robots. The emergence of advanced AI technologies suggests that AI programs may develop consciousness in the near future, prompting important questions: if AIs attain abilities to perform the same tasks and exercise capacities traditionally limited to humans, do they deserve similar moral status? If so, what treatment would we owe to them? Through examination of competing accounts of personhood and moral status, this paper seeks to …

2024-12-13, Board Of Regents, Murray State University

Board of Regents Meeting Minutes

No abstract provided.

Retrieving The Information Stored In The Donated Organ May Cause The Patient’S Personality To Change After The Transplant Operation, Jamal Al-Karaki, Muhammad Al-Zafar Khan, Phoka Rathebe, Raul Valverde, Alireza Sepehri, Massimo Fioranelli

All Works

The results of some scientific research show that organ transplantation, especially heart transplantation, causes changes in the patient’s personality and even memory. These changes can be due to the recovery of information stored in the donor’s molecules and cells. In fact, as in the orchestrated objective reduction model, information in the form of polarization or spin of molecules, electrons, and photons is stored in microtubules due to the connection between the brain and the heart through blood vessels and nerves, and waves. A copy of the information is stored in molecules and heart cells and possibly through the induction of …

December 13, 2024 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Journey To Baby-Friendly: Standardizing Patient Breastfeeding Education In The Postpartum Microsystem, Emily Korwin

Master's Projects and Capstones

Problem Low breastfeeding rates remain a global challenge and a cause of adverse infant health outcomes despite the benefits of exclusive breastfeeding. In response, UNICEF and the WHO developed the Baby-Friendly Hospital Initiative (BFHI) to promote, protect, and support breastfeeding for infant growth and development. Context Hospital A is a mid-size hospital in Northern California. It has 24 labor, 13 antepartum, and 33 postpartum beds and serves a diverse population of patients. Intervention After a literature review, microsystem assessment, stakeholder survey, and root cause analysis, a standardized infant feeding nurse patient education checklist was developed and aligned with Baby-Friendly teaching …

Applications Of Phosphorus Geochemistry To Utah Lake, Jacob Barry Taggart

Theses and Dissertations

This compilation of studies provides an examination of phosphorus dynamics in the suspended solids, water column, and lakebed sediments of Utah Lake, a large, shallow, and phosphorus-rich water body. The first study introduces a novel phosphorus microfractionation (P-MF) method designed for small samples of suspended solids and sediments. This method reveals that suspended solids in Utah Lake can have a significantly higher phosphorus content across most fractions compared to lakebed sediments, highlighting the importance of considering suspended solids in nutrient management strategies. The second study analyzes historical phosphorus mass and concentrations, demonstrating that water column phosphorus levels have remained stable …

Identifying Opportunities For Nature-Based Solutions With Geospatialized Life Cycle Assessments And Fine-Scale Socioecological Data, Gabriela Shirkey, Annick Anctil, Ranjeet John, Venkatesh Kolluru, Leah Mungai, Herve Kashongwe, Lauren T. Cooper, Ilke Celik, Joshua B. Fisher, Jiquan Chen

Civil and Environmental Engineering Faculty Publications and Presentations

As we increasingly understand the impact that land management intensification has on local and global climate, the call for nature-based solutions (NbS) in agroecosystems has expanded. Moreover, the pressing need to determine when and where NbS should be used raises challenges to socioecological data integration as we overcome spatiotemporal resolutions. Natural and working lands is an effort promoting NbS, particularly emissions reduction and carbon stock maintenance in forests. To overcome the spatiotemporal limitation, we integrated life cycle assessments (LCA), an ecological carbon stock model, and a land cover land use change model to synthesize rates of global warming potential (GWP) …

Butte Priority Soils Operable Unit (Bpsou) Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp) Request For Change Ir- 2024-Ra-01, Revision 1, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Strategic Thinking And Its Impact On Organizational Compatibility: An Analytical Study In The Iraqi Media Network, Fatima Naeem Hamish, Saadoon Mohsin Salman

Journal of Economics and Administrative Sciences

Purpose: This research aims to achieve the most critical objective: to reveal the relationship between strategic thinking and organizational compatibility in the Iraqi Media Network. Theoretical Framework: In light of what researchers (Srivastava, S., & D’Souza, 2021) and  (Nafei, 2017)have stated, this study provides practical guidelines for improving strategic thinking in the face of challenges and difficulties to enhance organizational compatibility. Design/Methodology/Approach: The study aimed to analyze the data of employees in the Iraqi Media Network (2024) using strategic thinking and its dimensions (organizational thinking, processing divergent ideas, contemplation) on the impact of organizational compatibility and its dimensions (organizational loyalty, …

Numerical Simulations On Rayleigh Taylor Instability For Co2 Sequestration In Saline Aquifers, Bhargavi Vandadu

Mechanical Engineering Theses

The density-driven convection appears promise for CO₂ storage, precise prediction on a reservoir size is problematic due to limited data availability. Changes in permeability impact flow patterns and the effectiveness of mixing processes. Permeability differences influence the sorts of density-driven mixing phenomena such as fingering and stable mixing. Improving CO₂ storage models is challenging due to the unpredictable nature of these processes. The study looks at the flow phenomena in which carbon dioxide with a lower viscosity displaces on heavier fluid water. Causes instability by producing finger-like structures at the gas-liquid interface. This study uses the species transport technique to …