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From The River To The Sea: Environmental Ecocide In Palestine, Isabela Pizarro

Student Theses 2015-Present

This paper investigates the environmental and ecological toll of Israel’s current occupation and genocide of Palestine through ecological, historical, philosophical, and legal lenses. Chapter 1 explores the ecological impacts that Israel’s prolonged military operations have had on Gaza and the West Bank since October 7, 2023. Chapter 2 provides a comprehensive examination of the ideological motivations and historical context for Israel’s colonization of Palestine. The chapter also provides a pre-colonial history of Palestine’s indigenous agriculture and land management practices, highlighting its self-sufficiency and sustainability prior to the occupation. Chapter 3 explores different environmental philosophies between indigenous Palestinians and the State …

Tenzing Rigdol’S Biography Of A Thought: A Mandala In The Heart Of The Met, Sarah Magnatta

Art and Art History: Faculty Scholarship

In 2024, artist Tenzing Rigdol created an installation - titled Biography of a Thought - spanning the entirety of the atrium in the Robert Lehman wing of the Metropolitan Museum of Art. His larger-than-life mandala included twenty painted panels on four walls, a central podium with a panel on top, and carpets on the floor mirroring parts of the painted shapes on the walls. Complete with bright sunlight streaming from the above skylight, the room transformed into a modern mandala - a walkable, meditative, transformative space. Even with its multiple traditional Tibetan Buddhist components and organisational structure, many of the …

Investigating Resilience Of Cyberattack Detection Using Lyapunov-Based Economic Model Predictive Control To Data Poisoning, Helen Durand, Akkarakaran Francis Leonard

Chemical Engineering and Materials Science Faculty Research Publications

Cyberattacks may be performed on process control systems due to their integration of networking and computing with physical systems. Prior work in our group has developed detection strategies for nonlinear systems under sensor, actuator, and combined sensor and actuator attacks which can ensure, under characterizable conditions, that attacks can be detected before they cause safety issues. However, this work did not take into account the potential that an attacker could attempt to provide data to a process that causes an attack to remain undetected but that also is consistent with different process dynamics than those which the process has. This …

Response Of Dynamic Processes With Control Implemented On A Noisy Quantum Computer, Shilpa Narashimhan, Dominic Messina, Henrique Oyama, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

A major challenge to determining the applicability (and potential outperformance over classical computers) of a quantum computer (QC) within chemical manufacturing processes is quantum noise. Computations by a QC are error-prone due to the influence of quantum noise inherent to the hardware. Errors in control inputs may destabilize a chemical process and lead to unsafe conditions for manufacturing personnel and the environment. The response of a process with control implemented on a QC to errors due to noise must be investigated thoroughly. In this work, the impacts of control input errors due to quantum noise on a process are modeled …

Heuristic Strategies For Process Stabilization Using Proportional Control Implemented By A Noisy Quantum Simulator, Keshav Kasturi Rangan, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Processing and storage demands of industrial processes are causing fields such as optimization, scheduling, and control to assess the effectiveness of quantum devices in their applications. A key objective of control systems is to ensure process safety. This paper focuses on the potential of quantum devices to compute control inputs that maintain system safety despite sources of nondeterminism inherent to currently available quantum devices (quantum noise). In our previous work, we employed a quantum simulator to assess whether a quantum implementation of a proportional (P) control law could stabilize a single-input/single-output system under quantum noise approximated from a real quantum …

Tools To Design Algorithms For Implementing Control Over Quantum Computers, Shilpa Narashimhan, Jihan Abou Halloun, Kip Nieman, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Quantum computers (QCs) may find future applications within control systems that operate manufacturing processes. For application within control engineering, quantum algorithm development must be led by control engineers. However, control engineers may face challenges in designing quantum algorithms for control engineering problems. In this work, we provide several path-finding studies that leverage engineering tools such as optimization, encryption, and computational "short-cuts" toward making algorithm design for QC easier for control engineers.

The Minutes Of The Marshall University Staff Council Meeting, August 2025, Marshall University Staff Council

Staff Council Minutes

No abstract provided.

Biogenic Synthesis And Characterization Of Metal Oxides Nanostructures Using Plant-Mediated Extracts Via Green Microwave-Assisted Method, Sahar Ismael Imran

Baghdad Science Journal

Two simple innovative green methods have been developed to synthesize precise phase of cobalt oxide nanostructures Co₃O₄; the first method included using cobalt hydroxide carbonate (extra pure) Co₂CO₃(OH)₂ with aqueous plants extract of syzygium aromaticum (clove) bud extract (SABE) once; then again with pomegranate peel extract (PPE) both samples were submitted to microwave irradiation for 5 minutes followed by discrete calcination at 500 ^oC and then 850 ^oC an interested shapes of doted semi-cubic of Co₃O₄-NPs was successfully obtained in both cases; the samples …

Nevada Medical Residencies, 2025, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Health

This fact sheet highlights medical residency data for the 2021, 2022, 2023, 2024, and 2025 graduating classes of the Kirk Kerkorian School of Medicine at the University of Nevada, Las Vegas (UNLV) and the University of Nevada, Reno (UNR) School of Medicine. This fact sheet presents data on residency program matches at the Kirk Kerkorian School of Medicine at UNLV and the UNR School of Medicine, shows where Nevada medical school graduates pursue their residencies, and updates findings from a 2024 fact sheet exploring 2021, 2022, 2023, and 2024 graduating class data.

Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts, Carlos Mejia, Devin Rappleye

Faculty Publications

Stable and reproducible reference electrodes (REs) are essential for electrochemical systems operating in high-temperature molten salts, where consistent control of potential is required. This study uses three different solutes to investigate the development and evaluation of REs in eutectic LiCl-KCl at 773 K. The solutes tested were NiCl2, AgCl, and NiO, each prepared at multiple concentrations to assess stability, reproducibility, and saturation. Electrochemical stability was measured over three days using chronopotentiometry (CP), followed by open circuit potential (OCP), with cyclic voltammetry (CV) also integrated to monitor changes in electrochemical behavior over time. The CP-OCP approach established a Li+/Li redox potential, …

Implementation Of Culturally Relevant Pedagogy In Elementary Reading Instruction, Chelsea Renae Little

Walden Dissertations and Doctoral Studies

Culturally relevant pedagogy (CRP) has been shown to help educators address the unique educational needs of African American students. While research has supported the belief that CRP promotes a sense of belonging and positively influences academic achievement, there remains a lack of research regarding elementary teachers’ perceptions of their implementation of CRP specifically when teaching reading to African American students. Framed by Ladson-Billings’s CRP framework, the purpose of this basic qualitative study was to explore elementary teachers' perceptions of their implementation of CRP when teaching reading to African American students. Using a basic qualitative design, data were collected through semistructured …

Staff Education On Suicidal Screening In Young African American Male Adults With Bipolar Disorders, Tokunbo Ndidi Allen

Walden Dissertations and Doctoral Studies

This Doctor of Nursing Practice education project aimed to enhance mental health providers’ preparedness in culturally competent suicide screening, specifically for African American males with bipolar disorder in a behavioral health department. The practice issue identified was a lack of documented training, leading to underdiagnosis, missed interventions, and health disparities driven by cultural stigma, provider discomfort, and the absence of standardized guidelines. This represents a serious patient safety concern for African American males with mood disorders, such as bipolar, who are significantly underserved in mental health care. The guiding question was: Does a suicide screening education program improve the knowledge …

Recent Progress And Scientific Challenges In Wire-Arc Additive Manufacturing Of Metallic Multi-Material Structures, Sainand M. Jadhav, Sambhaji Kusekar, Akash Belure, Satyavan Digole, Abhijeet Mali, Muralimohan Cheepu, Manoj Mugale, Suhas Alkunte, Duckbong Kim

Faculty Articles

Metallic multi-material structures are heterogeneous structures characterized by changing composition, microstructures, and site-specific characteristics, advantageous for numerous applications where multifunctionality is desired. Metallic multi-material structures are known as bimetallic structures (BSs), which are functionally graded materials (FGMs). In recent years, wire-arc additive manufacturing (WAAM) advanced as a promising additive manufacturing process to realize the fabrication of these structures due to its high deposition rate, cost-effectiveness, and material utilization efficiency. This review presents a comprehensive overview of the recent progress, processing strategies, and scientific challenges in WAAM of multi-material structures. The paper begins with an introduction to multi-material structures, followed by …

Understanding And Predicting Flossing Behavior In A Rural Appalachian Community Using The Multi-Theory Model, Rahib K. Islam, Manoj Sharma, Amanda H. Wilkerson, Bradford Layman, Clyde Dunn, Shamima A. Somi, Ratnesh Sharma, Karen Gruszynski, Syed S. Quadri, Vinayak K. Nahar, Robert E. Davis

School of Medicine Faculty Publications

Effective flossing is essential for preventing periodontal disease. However, in a rural Appalachian community, adherence to flossing routines remains low, contributing to significant oral health disparities. The purpose of this study was to conceptualize intention of initiation and sustenance of flossing behaviors using the multi-theory model (MTM) of health behavior change. A cross-sectional survey was administered to individuals recruited from a shopping mall in rural Appalachia. The MTM constructs were measured and data were analyzed using multiple linear regression models. Of the 228 participants, 55% did not floss daily. Behavioral confidence (β = 0.571, p < 0.001) was a significant predictor for the intention of initiation of flossing among non-daily flossers, while emotional transformation (β = 0.377, p = 0.836) significantly explained sustenance among non-daily flossers. For daily flossers, changes in the physical environment (β = 0.432, p = 0.003) significantly predicted the intention of initiation of flossing, whereas emotional transformation (β = 0.344, p = 0.008) and practice for change (β = 0.594, p < 0.001) significantly predicted sustenance of flossing behavior. The MTM appears to be a robust framework for understanding and predicting flossing behaviors in rural Appalachian populations. Interventions designed to enhance behavioral confidence, physical environment changes, emotional transformation, and practice for change could improve flossing adherence. Further research should explore these constructs to develop targeted public health strategies.

Tort Liability For Failure To Age Gate: A Promising Regulatory Response To Digital Public Health Hazards, Matthew B. Lawrence, Brett Frischmann, Avi Sholkoff

Faculty Publications

Tort liability for failure to “age gate” is a promising legal response to the public health hazards of AI, social media, sports gambling, and other digital spaces. Tort liability for failure to “age gate” hinges liability for harms to minors on an app’s failure to take reasonable steps to prevent minors from gaining access or otherwise to apply appropriate governance rules, such as privacy-protective default settings or ensuring genuine parental consent. While no one legal response is a panacea, tort liability for failure to age gate carries several distinctive advantages that make it a particularly promising option at this stage …

Objective Performance Status: Enhancing Cancer Patient Fitness Assessment With Wearable Technology., Joseph Mccollom Do, Mazie Tsang

PCI Publications and Projects

Research output: Contribution to journal › Editorial › peer-review

2025 August 21 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Riparian Restoration Increases Soil Microbial Biomass In Marin County Rangelands, But Soil Carbon Stock Is Less Responsive, Sherilyn Kathryn Reinhart

Master's Theses

Land use change has caused the degradation of 70% of the Earth’s soils, directly altering soil microbial communities and carbon cycling. Interest in carbon farming practices is growing, but studies that document the nuances of soil carbon flux in specific bioregions are still too few. In this study, I examined how one practice, riparian restoration, alters soil carbon stock and microbial community structure over time. Using a paired sampling time series design, I collected soil samples from twelve riparian forests and adjacent rangelands near Marin County, California. Young and mature sites ranged from five to 29 years since restoration, and …

Operational Solutions To Address Radiology Staffing Challenges In Southern California Hospitals, Jacqueline Wood

Walden Dissertations and Doctoral Studies

The problem of interest is the current workforce crisis among the Radiologist Specialty in hospitals in Southern California. There has been a significant decline in the number of Radiologists in the workforce compared to the caseload of imaging studies. The purpose of this integrative review was to evaluate empirical and non-empirical literature for operational solutions to improve recruitment and retention of radiology providers. Literature published between 1999-2024 were evaluated for appropriateness using the Johns Hopkins evidence appraisal tools. The literature involved strategies and identified operational areas of opportunity for improvement with radiologist staffing. Identifying ways to improve job satisfaction, retention …

Examining The Relationship Between Artificial Intelligence And Disability, Luke Abell, Ben Anderson, Andres Arbulu, Cailyn Bowerman, Ethan Brown, Logan Busch, Eliana Chinitz, Shaan Choksi, Charles Clark, Alexander Claure, Meaghan Crites, Amalia Daniell, Stephen Dombrowski, Clara Dotterer, Jordyn Fink, Jake Fox, Akanksha Garg, Ishaan Ghosh, Cristian Gorayeb, Lia Gosselin, Simon Hasik, Alexis Hawkins, Charles Dickerson Iv, Chistopher Johnson, Cj Kulprathipanja, Claire Lindborg, Josh Lorenz, Luke Mcdonald, Daniella Nahnsen, Arwa Neemuchwala, Sage Nichols, Henrique Ortega, Krish Patel, Daniel Paul, Andres Ravelo, Daniel Reyes, Francesca Rovetto, Santiago Sacchini, Juan Santos, Mauricio Saturno, Carter Schaffer, Joey Schlosser, Anna Scroggings, Dylan Smith, Daniel Tejeira, Kenny Teng, Diya Tibrewala, Max Young, Robert Zeltsman, Bradley S. Duerstock, Maxwell Mensah

Undergraduate Coursework

No abstract provided.

Optimizing Workflow And Patient Outcomes: The Impact Of The Modified Adult Difficult Intravenous Access (A-Diva) Scale On Peripheral Iv Access: A Quality Improvement Project, Dakota S. Weaver, Ryan O'Sullivan

Doctor of Nurse Anesthesia Practice (DNAP) Manuscripts

Peripheral intravenous cannulation (PIVC) is one of the most performed invasive procedures in hospital settings, yet it is frequently associated with multiple attempts in patients with difficult intravenous access (DIVA). In obstetric (OB) triage settings, where time-sensitive care is critical, failed PIVC attempts can delay treatment and negatively affect patient experience. The Modified Adult Difficult Intravenous Access (A-DIVA) scale is a validated tool designed to identify patients at risk for DIVA and guide early use of advanced techniques such as ultrasound (US) guidance.

A QI initiative was implemented in the OB triage unit of a large academic hospital. The tool …

Re: Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp): Bres No. 177 – North Alice Culvert, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Green Synthesis Of Mgo Nanoparticles Via Two Different Methods And Studying Their Structural, Morphological, And Optical Properties, Athraa Hadi Obead, Nada K. Abbas

Baghdad Science Journal

Magnesium oxide nanoparticles (MgO NPs) have been prepared by a green synthesis using the leaves of Ficus carica extract, which can be easily used for various biomedical applications. Magnesium oxide nanoparticles (MgO NPs) prepared by a green synthesis are non-toxic, biocompatible, and environmentally friendly. Fig extract functions as a reducing and stabilizing agent. The precursors used for preparation are from Magnesium Nitrate MgO(n) and bulk magnesium oxide MgO(b) by two different methods. The MgO(n) prepared from Magnesium Nitrate and MgO(b) prepared from bulk magnesium oxide nanoparticles were characterized using UV-visible spectroscopy (UV-Vis) to analyze the absorption patterns, The energy band …

The Influence Of Hunting Cooperation And Fear On The Dynamics Of The Eco-Epidemiological Model With Disease In Both Populations, Nabaa Hassain Fakhry, Raid Kamel Naji

Baghdad Science Journal

Predicting and controlling environmental dynamics requires an understanding of the intricate interaction between hunting cooperation, fear, and other biological elements in eco-epidemiological models. Studying these models is crucial for environmental sustainability and conservation, as seen by the rise in infectious diseases caused by population growth and interactions among organisms. The goal of this study is to create a novel mathematical model that takes into account contagious diseases that impact both predators and prey, as well as how cooperative hunting behavior on the part of predators causes anxiety in the prey population. Important features of the model are examined, including the …

Statistical Analysis Of Multi-Endpoint Phenotypic Screening Increases Sensitivity Of Planarian Neurotoxicity Testing, Danielle Ireland, L. J. Word, Eva-Maria S. Collins

Biology Faculty Works

There is an urgent need for high-throughput screening (HTS) models to replace, refine, and/or reduce (“3Rs”) vertebrate toxicity testing. Replacing in vivo animal studies is challenging for neurotoxicity and developmental neurotoxicity (DNT), where the functional relevancy of adverse outcomes needs to be assessed on the whole organism. We previously screened the NTP 87-compound library (NTP87), consisting of known and suspected developmental neurotoxicants, and showed that planarian HTS can identify known (developmental) neurotoxicants. Because analysis methods can impact screening results, and our original analysis used the lowest-observed-effect-level (LOEL) only, we hypothesized that the use of state-of-the-art statistical analysis would increase the …

Covid-19 Crisis: Contemporary Trauma Theory And Clinical Social Workers’ Perspectives Of Work-Related Secondary Trauma Post-Pandemic, Dr. Veronica Y. Griffin

Walden Dissertations and Doctoral Studies

The COVID-19 pandemic was an unprecedented global crisis that challenged clinical social workers’ traditional client-centered strategies and exposed some to secondary trauma. The purpose of this qualitative study was to explore clinical social workers’ perspectives on work-related secondary trauma post-COVID-19 pandemic using the contemporary trauma theory as the theoretical framework. The research question involved exploring their perspectives of how this trauma affected their biopsychosocial functioning. Semi-structured interviews were conducted with eight participants who were clinical social workers between 28 and 36. Using thematic analysis, themes were identified and grouped into the three functioning groups: personal, relationships, and career. Twelve themes …

Tracing Priming Effects In Palsa Peat Carbon Dynamics Using A Stable Isotope-Assisted Metabolomics Approach, Christian Ayala-Ortiz, Moira Hough, Elizabeth K. Eder, David W. Hoyt, Rosalie K. Chu, Jason Toyoda, Steven J. Blazewicz, Patrick M. Crill, Ruth Varner, Scott R. Saleska, Virginia I. Rich, Malak M. Tfaily

Michigan Tech Publications

Introduction: Peatlands store up to a third of global soil carbon, and in high latitudes their litter inputs are increasing and changing in composition under climate change. Although litter significantly influences peatland carbon and nutrient dynamics by changing the overall lability of peatland organic matter, the physicochemical mechanisms of this impact—and thus its full scope—remain poorly understood. Methods: We applied multimodal metabolomics (UPLC-HRMS, ¹H NMR) paired with ¹³C Stable Isotope-Assisted Metabolomics (SIAM) to track litter carbon and its potential priming effects on both existing soil organic matter and carbon gas emissions. Through this approach, we achieved molecule-specific tracking …

Dragon Guitars And Sexy Zombies: Tracing The Meta-Motion Of The Naga Motif In Northeast Thailand, Aaron Michael Stanley

Dartmouth College Master’s Theses

Abstract

This thesis traces the evolving symbolism of the Naga motif (a mythic water serpent) in Northeast Thailand through a framework I call meta-motion, which maps symbolic persistence of this cultural signifier and boundary marker across four cultural horizons—animist (Z), Hindu–Khmer (B), Buddhist (A), and modern/global (C). Like electrons in quantum super position, symbolic motifs circulate as overlapping “waves” of potential meaning and are concretized into cultural “particles” only when recruited for specific ritual, commercial, or political purposes. I add a bookend extension to Chang’s Hindu-Buddhist (B/A) typology with the addition of Horizons Z and C in order to make …

Comparative Modeling Of Nuclear Energy Consumption In The United States And France: An Optimized Structure-Adaptive Grey Model, Alae Chahid '25, Naima Shifa

Student Research

This study investigates nuclear energy consumption trends in the United States, and France by applying advanced time-series modeling and computational optimization techniques. Using annual consumption data from 2005 to 2023, the research compares the predictive accuracy under data scarcity of the AutoRegressive Integrated Moving Average (ARIMA), Grey Model (1,1,t), Grey Model(1,1,t²), and an Optimized Structure-Adaptive Grey Model (OSGM). This OSGM (1,1,_) the traditional Grey Model (1,1) by introducing time-dependent terms and parameter tuning through particle swarm optimization and Monte Carlo simulations. Models are trained and tested using an in-sample and out-of-sample period framework. Then, forecast accuracies are compared using Mean …

Large-Scale Flood Detection And Mapping In The Yangtze River Basin (2016–2021) Using Convolutional Neural Networks With Sentinel-1 Sar Images, Xuan Wu, Zhijie Zhang, Wanchang Zhang, Bangsheng An, Zhenghao Li, Rui Li, Qunli Chen

Environment and Society Faculty Publications

Synthetic Aperture Radar (SAR) technology offers unparalleled advantages by delivering high-quality images under all-weather conditions, enabling effective flood monitoring. This capability provides massive remote sensing data for flood mapping, while recent rapid advances in deep learning (DL) offer methodologies for large-scale flood mapping. However, the full potential of deep learning in large-scale flood monitoring utilizing remote sensing data remains largely untapped, necessitating further exploration of both data and methodologies. This paper presents an innovative approach that harnesses convolutional neural networks (CNNs) with Sentinel-1 SAR images for large-scale inundation detection and dynamic flood monitoring in the Yangtze River Basin (YRB). An …