Digital Commons Network^™

Electro‐Driven Materials And Processes For Lithium Recovery—A Review, Anna Siekierka, Marek Bryjak, Amir Razmjou, Wojciech Kujawski, Aleksandar N. Nikoloski, Ludovic F. Dumée

Research outputs 2022 to 2026

The mass production of lithium‐ion batteries and lithium‐rich e‐products that are required for electric vehicles, energy storage devices, and cloud‐connected electronics is driving an unprecedented demand for lithium resources. Current lithium production technologies, in which extraction and purification are typically achieved by hydrometallurgical routes, possess strong environmental impact but are also energy‐intensive and require extensive operational capabilities. The emergence of selective membrane materials and associated electro‐processes offers an avenue to reduce these energy and cost penalties and create more sustainable lithium production approaches. In this review, lithium recovery technologies are discussed considering the origin of the lithium, which can be …

A New Way To Trace Sars-Cov-2 Variants Through Weighted Network Analysis Of Frequency Trajectories Of Mutations, Paul W. Bible, Qiang Huang, Qiang Zhang, Qiaoxing Liang, Fangfang Zheng, Ying Wang, Yuantao Hao, Yu Liu

Computer Science Faculty publications

Early detection of SARS-CoV-2 variants enables timely tracking of clinically important strains in order to inform the public health response. Current subtype-based variant surveillance depending on prior subtype assignment according to lag features and their continuous risk assessment may delay this process. We proposed a weighted network framework to model the frequency trajectories of mutations (FTMs) for SARS-CoV-2 variant tracing, without requiring prior subtype assignment. This framework modularizes the FTMs and conglomerates synchronous FTMs together to represent the variants. It also generates module clusters to unveil the epidemic stages and their contemporaneous variants. Eventually, the module-based variants are assessed by …

Now You See Me: “First” Records Of The Greater Amberjack Seriola Dumerili At Rapa Nui Range Extension Or Increased Scientific Effort?, Naiti Morales, Amy Rose Coghlan, Erin E. Easton, Alan M. Friedlander, James J. Herlan, Carlos F. Gaymer

School of Earth, Environmental, & Marine Sciences Faculty Publications

We report new records of the fisheries-harvested subtropical greater amberjack Seriola dumerili for the south-east Pacific Ocean. Previously, only one species of Seriola (the yellowtail amberjack Seriola lalandi) was scientifically recorded for Rapa Nui (also known as Easter Island) despite local fishers' asserting that three Seriola morphotypes are found in the region. Here we present the first 'scientific record' of what could be a pre-existing (albeit transient) species of the Rapa Nui ecoregion. Establishing the existing range limits of commercially and ecologically valuable species is key for observing climate-driven distribution shifts, and the inclusion of traditional ecological knowledge is likely …

Understanding Effects Of Permafrost Degradation And Coastal Erosion On Civil Infrastructure In Arctic Coastal Villages: A Community Survey And Knowledge Co-Production, Min Liew, Ming Xiao, Louise Farquharson, Dmitry Nicolsky, Anne Jensen, Vladimir Romanovsky, Jana Peirce, Lilian Alessa, Christopher Mccomb, Xiong Zhang, Benjamin Jones

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This paper presents the results of a community survey that was designed to better under-stand the effects of permafrost degradation and coastal erosion on civil infrastructure. Observations were collected from residents in four Arctic coastal communities: Point Lay, Wainwright, Utqiaġvik, and Kaktovik. All four communities are underlain by continuous ice-rich permafrost with varying degrees of degradation and coastal erosion. The types, locations, and periods of observed permafrost thaw and coastal erosion were elicited. Survey participants also reported the types of civil infrastructure being affected by permafrost degradation and coastal erosion and any damage to residential buildings. Most survey participants reported …

Avian Orexin: Feed Intake Regulator Or Something Else?, Alison Ramser, Sami Dridi

Poultry Science Faculty Publications and Presentations

Originally named for its expression in the posterior hypothalamus in rats and after the Greek word for "appetite", hypocretin, or orexin, as it is known today, gained notoriety as a neuropeptide regulating feeding behavior, energy homeostasis, and sleep. Orexin has been proven to be involved in both central and peripheral control of neuroendocrine functions, energy balance, and metabolism. Since its discovery, its ability to increase appetite as well as regulate feeding behavior has been widely explored in mammalian food production animals such as cattle, pigs, and sheep. It is also linked to neurological disorders, leading to its intensive investigation in …

The Eu-China Comprehensive Agreement On Investment: Between Strategic Opportunity And Strategic Autonomy, Henry S. Gao

Research Collection Yong Pung How School Of Law

This article provides a critical analysis of the EU-China Comprehensive Agreement on Investment (CAI), which was concluded in principle by the EU and China on 30 December 2020. It was hailed as “the most ambitious agreement that China has ever concluded with a third country” by the EU, and a “high-level” agreement that matches “international high-level economic and trade rules” by China. Upon a closer examination, however, such rhetoric does not appear to be warranted as the Agreement failed to add much in terms of substance. What, then, explains the rationale between the Agreement? This article argues that the key …

Mapping Sustainable Development In Investment Treaties: An Analysis Of Asean States' Practice, Mark Mclaughlin

Research Collection Yong Pung How School Of Law

The interaction between sustainable development and international investment treaties is of growing concern. Could investment protection stymie health regulation? Will States be sued for introducing measures to tackle climate change? A growing body of sustainability-related case law is evidence that arbitral tribunals balance investment obligations against States’ ability to regulate for national security, health, the environment, labour rights, transparency, and corporate social responsibility. Against this background, this paper maps sustainable development issues in 371 bilateral investment treaties (hereinafter “BITs”) concluded by the Association of Southeast Asian Nations (ASEAN) States. It finds that only 26% of these treaties make any reference …

0876: Lloyd Kiff Ornithology Collection, 1872-1997, Marshall University Special Collections

Guides to Manuscript Collections

Lloyd Kiff graduated from Marshall University in 1964 and later taught as instructor in Zoology in the late 1960s. Kiff has worked as an ornithologist for more than 50 years. His father earned a master’s degree in organic chemistry and his mother earned a master’s degree in both biology and Library Science at Marshall. Kiff’s mother was also the editor for Bird Calls, a periodical issued by the Huntington Bird Club.

Lloyd Kiff has also published various works included in this collection, such as Birds of the Lower Ohio River Valley in West Virginia (1960 and 1986) that can be …

A Tail Of Plumage Colouration: Disentangling Geographic, Seasonal And Dietary Effects On Plumage Colour In A Migratory Songbird, Sean M. Mahoney, Matthew W. Reudink, Andrea Contina, Kelly A. Roberts, Veronica T. Schabert, Emily G. Gunther, Kristen M. Covino

School of Integrative Biological & Chemical Sciences Faculty Publications

Plumage ornamentation in birds serves critical inter- and intra-sexual signaling functions. While carotenoid-based plumage colouration is often viewed as a classic condition-dependent sexually selected trait, plumage colouration can be influenced by a wide array of both intrinsic and extrinsic factors. Understanding the mechanisms underlying variation in colouration is especially important for species where the signaling function of ornamental traits is complex or when the literature is conflicting. Here, we examined variation in the yellow/orange tail feathers of American redstarts Setophaga ruticilla passing through two migratory stopover sites in eastern North America during both spring and fall migration to assess the …

Attribution Of Space-Time Variability In Global-Ocean Dissolved Inorganic Carbon, Dustin Carroll, Dimitris Menemenlis, Stephanie Dutkiewicz, Jonathan M. Lauderdale, Jess F. Adkins, Kevin W. Bowman, Holger Brix, Ian Fenty, Michelle M. Gierach, Chris Hill, Oliver Jahn, Peter Landschützer, Manfredi Manizza, Matt R. Mazloff, Charles E. Miller, David S. Schimel, Ariane Verdy, Daniel B. Whitt, Hong Zhang

Faculty Research, Scholarly, and Creative Activity

The inventory and variability of oceanic dissolved inorganic carbon (DIC) is driven by the interplay of physical, chemical, and biological processes. Quantifying the spatiotemporal variability of these drivers is crucial for a mechanistic understanding of the ocean carbon sink and its future trajectory. Here, we use the Estimating the Circulation and Climate of the Ocean-Darwin ocean biogeochemistry state estimate to generate a global-ocean, data-constrained DIC budget and investigate how spatial and seasonal-to-interannual variability in three-dimensional circulation, air-sea CO2 flux, and biological processes have modulated the ocean sink for 1995–2018. Our results demonstrate substantial compensation between budget terms, resulting in distinct …

Sizing An Open-Channel Woodchip Bioreactor To Treat Nitrate From Agricultural Tile Drainage And Achieve Water Quality Targets, Pam Krone, Ross Clark, Jason Adelaars, Mason Leandro, Alex Henson, Jessica Williamson, Heather Bischel, Olivia Wrightwood, Fred Watson

Faculty Research, Scholarly, and Creative Activity

Woodchip bioreactors are capable of removing nitrate from agricultural runoff and subsurface tile drain water, alleviating human health hazards and harmful discharge to the environment. Water pumped from agricultural tile drain sumps to nearby ditches or channels could be cost-effectively diverted through a woodchip bioreactor to remove nitrate prior to discharge into local waterways. Sizing the bioreactor to achieve targeted outlet concentrations within a minimum footprint is important to minimizing cost. Determining the necessary bioreactor size should involve a hydrological component as well as reaction type and rates. We measured inflow and outflow nitrate concentrations in a pumped open-channel woodchip …

Bisphenol A Affects Neurodevelopmental Gene Expression, Cognitive Function, And Neuromuscular Synaptic Morphology In Drosophila Melanogaster, Chloe Welch, Eden Johnson, Angelina Tupikova, Judith Anderson, Brendan Tinsley, Johnathan Newman, Erin Widman, Adam Alfareh, Alexandra Davis, Lucero Rodriguez, Clayton Visger, Justin P. Miller-Schulze, Wendy Lee, Kimberly Mulligan

Faculty Research, Scholarly, and Creative Activity

Bisphenol A (BPA) is an environmentally prevalent endocrine disrupting chemical that can impact human health and may be an environmental risk factor for neurodevelopmental disorders. BPA has been associated with behavioral impairment in children and a variety of neurodevelopmental phenotypes in model organisms. We used Drosophila melanogaster to explore the consequences of developmental BPA exposure on gene expression, cognitive function, and synapse development. Our transcriptome analysis indicated neurodevelopmentally relevant genes were predominantly downregulated by BPA. Among the misregulated genes were those with roles in learning, memory, and synapse development, as well as orthologs of human genes associated with neurodevelopmental and …

Racialized Disablement And The Need For Conceptual Analysis Of “Racial Health Disparities”, Desiree Valentine

Philosophy Faculty Research and Publications

It is well established that racial health disparities are impacted by structural racism, but the imbrication of racialization processes with processes of disablement remains underdeveloped. This essay advocates for a conceptual lens that looks historically and politically at the co-constitution of “race” and “disability.” Racism and ableism intersect in ways that manifest what I call racialized disablement, a key heuristic for building a fuller understanding of “race” and “racial health disparities.” This terminology, I propose, helps illuminate the following about race and racism in healthcare: first, racialized disablement seeks to denaturalize both race and disability to focus on their political …

Continuum Dynamics And Statistical Correction Of Compositional Heterogeneity In Multivalent Idp Oligomers Resolved By Single-Particle Em, Barmak Mostofian, Russell Mcfarland, Aiden Estelle, Jesse Howe, Elisar J. Barbar, Steve L. Reichow, Daniel M. Zuckerman

Chemistry Faculty Publications and Presentations

Multivalent intrinsically disordered protein (IDP) complexes are prevalent in biology and act in regulation of diverse processes, including transcription, signaling events, and the assembly and disassembly of complex macromolecular architectures. These systems pose significant challenges to structural investigation, due to continuum dynamics imparted by the IDP and compositional heterogeneity resulting from characteristic low-affinity interactions. Here, we developed a modular pipeline for automated single-particle electron microscopy (EM) distribution analysis of common but relatively understudied semi-ordered systems: 'beads-on-a-string' assemblies, composed of IDPs bound at multivalent sites to the ubiquitous ∼20kDacross-linking hub protein LC8. This approach quantifies conformational geometries and compositional heterogeneity on …

Oncosuppressive Roles Of Decorin Through Regulation Of Multiple Receptors And Diverse Signaling Pathways., Christopher Xie, Dipon K Mondal, Mikdat Ulas, Thomas Neill, Renato V Iozzo

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Decorin is a stromal-derived prototype member of the small leucine-rich proteoglycan gene family. In addition to its functions as a regulator of collagen fibrillogenesis and TGF-β activity soluble decorin acts as a pan-receptor tyrosine kinase (RTK) inhibitor. Decorin binds to various RTKs including EGFR HER2 HGFR/Met VEGFR2 TLR and IGFR. Although the molecular mechanism for the action of decorin on these receptors is not entirely elucidated overall decorin evokes transient activation of these receptors with suppression of downstream signaling cascades culminating in growth inhibition followed by their physical downregulation via caveosomal internalization and degradation. In the case of Met decorin …

Measurable Microcystin In Ozark Streams Was Rare During Summer 2018 Baseflow Conditions, Bradley J. Austin, Brian E. Haggard

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Accelerated eutrophication due to human activity has been linked to an increase in the occurrence of cyanobacteria in freshwater systems. The purpose of this study was to document the occurrence of microcystin, a common cyanotoxin, within northwest Arkansas streams. Twenty streams were sampled from May through October 2018, and water and periphyton samples were analyzed for microcystin and chlorophyll-a (CHL-a). Mean microcystin concentrations in water samples were low across sites, ranging from < 0.10 to 0.21 μg L⁻¹. Mean microcystin in the periphyton across sites ranged from 2.6 to 9.9 μg m⁻² and were within values observed in the literature. …

Mitonuclear Mismatch Is Associated With Increased Male Frequency, Outcrossing, And Male Sperm Size In Experimentally-Evolved C. Elegans, Brent W. Bever, Zachary P. Dietz, Jennifer Anne Sullins, Ariana M. Montoya, Ulfar Bergthorsson, Vaishali Katju, Suzanne Estes

Biology Faculty Publications and Presentations

We provide a partial test of themitonuclear sex hypothesiswith the first controlled study of how male frequencies and rates of outcrossing evolve in response to mitonuclear mismatch by allowing replicate lineages of C. elegans nematodes containing either mitochondrial or nuclear mutations of electron transport chain (ETC) genes to evolve under three sexual systems: facultatively outcrossing (wildtype), obligately selfing, and obligately outcrossing. Among facultatively outcrossing lines, we found evolution of increased male frequency in at least one replicate line of all four ETC mutant backgrounds tested—nuclear isp-1, mitochondrial cox-1 and ctb-1, and an isp-1 IV; ctb-1M mitonuclear double mutant—and confirmed for …

Genome-Wide Identification Of Novel Srnas In Streptococcus Mutans, Madeline Claire Krieger, Justin Merritt, Rahul Raghavan

Biology Faculty Publications and Presentations

Streptococcus mutans is a major pathobiont involved in the development of dental caries. Its ability to utilize numerous sugars and to effectively respond to environmental stress promotes S. mutans proliferation in oral biofilms. Because of their quick action and low energetic cost, non-coding small RNAs (sRNAs) represent an ideal mode of gene regulation in stress response networks, yet their roles in oral pathogens have remained largely unexplored. We identified 15 novel sRNAs in S. mutans and show that they respond to four stress-inducing conditions commonly encountered by the pathogen in human mouth: sugar-phosphate stress, hydrogen peroxide exposure, high temperature, and …

A Phenomenological Study Of Trauma-Informed Teaching During A Global Education Disruption, Angelique Susan Smith

Doctoral Dissertations and Projects

The purpose of this hermeneutical, phenomenological study described the experience of university educators using trauma-informed instructional practices during a global education disruption for university educators at Southeast University (pseudonym). The theory guiding this study is Richardson’s metatheory of resilience and resiliency (which describes an individual’s natural flow between homeostasis, through disruption, and adjunct to the disruption as part of the natural order of adaptation. The study addresses the following questions: How do university educators describe their experiences with trauma-informed teaching during a global education disruption? What formal strategies have university educators implemented to build social and emotional skills for students …

Achieving Racial Unity And Oneness Through Biblical Authority And Application, Nolen Spencer Wood

Doctoral Dissertations and Projects

The problem is that secular models for achieving racial reconciliation threaten the unity of Life Church. The true remedy for unity is found in biblical authority and application. The intervention research project addressed this problem by observing the negative impacts of methodologies such as Critical Race Theory and Intersectionality. Seven members of Life Church were recruited to participate in the group study. The first three phases of intervention were replete with survey questions and interviews that ascertained their worldview on understandings of race and how personal experiences have shaped the way they view people. The phase four intervention provided a …

The Modern Homeland Security Struggle: Divisive Disinformation, Stephen H. Dickerson

Doctoral Dissertations and Projects

This research introduces the concepts surrounding disinformation and misinformation campaigns, along with their standing as significant homeland security threats. The piece starts with a brief introduction that focuses in on current examples of how these campaigns are being utilized, to include introductory discussion of theory and strategy. This is followed by a literature review, which explores a wide variety of disinformation related topics, including pieces that help in defining the matter and others that introduce related psychological theories. In addition to the literature that discusses real world examples, current instances are discussed, allowing for a more comprehensive view of not …

Constructing Prediction Intervals With Neural Networks: An Empirical Evaluation Of Bootstrapping And Conformal Inference Methods, Alexander N. Contarino

Theses and Dissertations

Artificial neural networks (ANNs) are popular tools for accomplishing many machine learning tasks, including predicting continuous outcomes. However, the general lack of confidence measures provided with ANN predictions limit their applicability, especially in military settings where accuracy is paramount. Supplementing point predictions with prediction intervals (PIs) is common for other learning algorithms, but the complex structure and training of ANNs renders constructing PIs difficult. This work provides the network design choices and inferential methods for creating better performing PIs with ANNs to enable their adaptation for military use. A two-step experiment is executed across 11 datasets, including an imaged-based dataset. …

Narrative Analysis Of Open-Source Social Media Activity In The Indopacom Aor, Aaron K. Glenn

Theses and Dissertations

Emotion classification can be a powerful tool to derive narratives from social media data. Recurrent Neural Networks (RNN) can meet or exceed the performance of state-of-the-art traditional machine learning techniques using exclusively open-source data and models. Specifically, these results show that RNN variants can produce more than an 8% gain in accuracy in comparison to Logistic Regression and SVM techniques and a 15% gain over Random Forest when using FastText embeddings. This research found a statistical significance in the performance of a single layer Bi-directional Long Short-Term Memory (Bi-LSTM) model over a 2-layer stacked Bi-LSTM model. This research also found …

Smoothing Of Convolutional Neural Network Classifications, Glen R. Drumm

Theses and Dissertations

Smoothing convolutional neural networks is investigated. When intermittent and random false predictions happen, a technique of average smoothing is applied to smooth out the incorrect predictions. While a simple problem environment shows proof of concept, obstacles remain for applying such a technique to a more operationally complex problem.

A New Approach To Career Field Matching For Commissioning Air Force Cadets, Daniel Griffen Laird

Theses and Dissertations

The current method of assigning graduating cadets from the United States Air Force Academy and Reserve Officers' Training Corps (ROTC) detachments to their career fields uses an integer programming model to maximize \global" Air Force utility, subject to several Air Force-defined constraints. This utility evaluates the positive benefit of assigning a certain cadet to a certain career field. This paper discusses the issues with such a model, as well as presents a new, more refined approach to the problem. Rather than provide a one-size-fits-all formulation of this particular assignment problem, a Value-Focused Thinking (VFT) framework is applied, in conjunction with …

Using Generative Adversarial Networks To Augment Unmanned Aerial Vehicle Image Classification Training Sets, Benjamin J. Mccloskey

Theses and Dissertations

A challenging task in computer vision is finding techniques to improve the object detection and classification capabilities of ML models used for processing images acquired by moving aerial platforms. This research explores if GAN augmented UAV training sets can increase the generalizability of a detection model trained on said data. To answer this question, the YOLOv4-Tiny Object Detection Model was trained with aerial image training sets depicting rural environments. The salient objects within the frames were recreated using various GAN architectures, placed back into the original frames, and the augmented frames appended to the original training sets. GAN augmentation on …

Simultaneous Actuation And Sensing Of Electrostatic Mems, Jacob E. Song

Theses and Dissertations

Micro-Electro-Mechanical Systems (MEMS) are devices that play important roles of sensing and actuation in many different industries including automation, electronics, medical, communications, and defense. In order to make full use of these devices, it is important to understand the peripherals that enable these devices. Simultaneous actuation and control of MEMS devices is an important area of research as it enables feedback control of these device and allows devices to maintain performance as devices depreciate over their lifetime. The aim of this thesis is to perform a design space analysis on an electrostatic MEMS simultaneous actuation and sensing circuit that is …

Team Air Combat Using Model-Based Reinforcement Learning, David A. Mottice

Theses and Dissertations

We formulate the first generalized air combat maneuvering problem (ACMP), called the MvN ACMP, wherein M friendly AUCAVs engage against N enemy AUCAVs, developing a Markov decision process (MDP) model to control the team of M Blue AUCAVs. The MDP model leverages a 5-degree-of-freedom aircraft state transition model and formulates a directed energy weapon capability. Instead, a model-based reinforcement learning approach is adopted wherein an approximate policy iteration algorithmic strategy is implemented to attain high-quality approximate policies relative to a high performing benchmark policy. The ADP algorithm utilizes a multi-layer neural network for the value function approximation regression mechanism. One-versus-one …

Classification And Keyword Identification Of Covid 19 Misinformation On Social Media: A Framework For Semantic Analysis, Grace Y. Smith

Theses and Dissertations

The growing surge of misinformation among COVID-19 communication can pose great hindrance to truth, magnify distrust in policy makers and/or degrade authorities’ credibility, and it can even harm public health. Classification of textual context on social media data relating to COVID-19 is an effective tool to combat misinformation on social media platforms. In this research, Twitter data was leveraged to 1) develop classification methods to detect misinformation and identify Tweet sentiment with respect to COVID-19 and 2) develop a human-in-the-loop interactive framework to enable identification of keywords associated with social context, here, being misinformation regarding COVID-19. 1) Six fusion-based classification …

Automated Aircraft Visual Inspection With Artificial Data Generation Enabled Deep Learning, Nathan J. Gaul

Theses and Dissertations

Aircraft visual inspection, which is essential to daily maintenance of an aircraft, is expensive and time-consuming to perform. Augmenting trained maintenance technicians with automated UAVs to collect and analyze images for aircraft inspection is an active research topic and a potential application of CNNs. Training datasets for niche research topics such as aircraft visual inspection are small and challenging to produce, and the manual process of labeling these datasets often produces subjective annotations. Recently, researchers have produced several successful applications of artificially generated datasets with domain randomization for training CNNs for real-world computer vision problems. The research outlined herein builds …