Digital Commons Network^™

Amorphous Metal Transparent Conducting Oxide P-Type Semiconductors, Joshua Santy

Miners Solving for Tomorrow Research Conference

No abstract provided.

Fractional Brownian Motion With Mean-Density Interaction, Jonathan House, Skirmantas Janusonis, Ralf Metzler, Thomas Vojta

Miners Solving for Tomorrow Research Conference

No abstract provided.

2025 - 1st Annual Miners Solving For Tomorrow Research Conference, Ellen Afful, Ashish Kumar Kakoria, Michael S. Moats, Guang Xu, Mohammad Hossein Afsharmovahed, Ritesh Sharma, Nguyen Son, Genda Chen, Joseph Akor, Varuni Abhayaratne, Tong Zhou, Sophia Yang, Honglan Shi, Joel Gerard Burken, Paul Ki-Souk Nam, Mahmuda Aktar, Debjyoti Sengupta, Anurag Satpathy, Sajal K. Das, Milad Aghayi Anaraki, Amitava Choudhury, Mobashir Ahmed, Cianne Arnau, Davide Vigano, Carson Arnold, S. Koju, David D. Duvernell, Kolawole Arowoogun, Katherine R. Grote, Jeremy Maurer, Amaneh Babaee, Grace Hall, Daniel Burton Shank, Casey I. Canfield, Parker Barnes, Phillip R. Mulligan, Avery Lyons, Markus Baur, Sutapa Bhattacharya, Aleksandr V. Chernatynskiy, Amitava Choudhury, Shane Cairns, Leonardo Enzo Brito Da Salva, Sasha Petrenko, Donald C. Wunsch, Bahaa Chammout, Islam H. El-Adaway, William Charlesworth, Prithbay Dey, David Lee Enke, Allie Dingfield, Alexandar Djidjev, Nathan Hellwege, Aidan Dollar, Effat Eskandari, Ugochukwu Ewuzie, Godwin Ifeanyi Ogbuehi, Steven Achterberg, Monday Uchenna Okoronkwo, Philip D. Whitefield, Alireza Fallahi, David Bayless, Ali Fasihi, Nicolas Ali Libre, Sophie Firle, Gemma Flores-Olivas, Celia Freed, Clair Reynolds Kueny, Love Gami, Collin Gentry, Kamdem George, Stephen Y. Owusu, A. B. M. Shaheen Ud Doulah, Vaibhav A. Edlabadkar, Chariklia Sotiriou-Leventis, Eyuel Getahun, Jessica Cundiff, Jenny Davis, Carter Glynn, Nick Graham, Katharine Gray, Katie Shannon, Lucas Greiner, Charmayne E. Lonergan, Jennifer Harrell, Matthew S. Thimgan, Milo Hathaway, Justin Pope, Jacob Hauck, Yafang Hei, Ahmad Heidari, Matik Heskin, K. Chandrashekhara, Richard Billo, Ming-Chuan Leu, Thomas P. Schuman, Cole Hopper, Jonathan House, Skirmantas Jano'sonis, Ralf Metzler, Thomas Vojta, Aamir Iqbar, Syed Tahla Riaz, Ashish Kakoria, Rajarshi Kar, Amideddin Nouralishashi, Harish Singh, Manashi Nath, Emma Kettler, Mariam K. Al-Lami, Joel G. Burken, Carter Lawson, Haodao Li, Hossein Libre, William Petzoldt, Sara Mccauley, Julia Mcintyre, Jennifer J. Harrell, Gracie M. James, Danielle Gines, Catherine E. Johnson, Julie A. Semon, Sophia Nicolette Militante, Jenna Mueller, Kiernan O'Boyle, Yaqi Zhu, Landon Oelschlaeger, Gayla R. Olbricht, V. A. Samaranayake, Adeyinka Olaseinde, Emmanuel Olugbade, Nuzaer Omar, Maryam Shariff Paroushi, Megan Percy, Galayna Baur, Elizabeth Pritchett, William Fahrenholtz, Greg Hilmas, Steven M. Smith, Abid Hasan Rafi, David W. Lipke, Jeremy Lee Watts, Syed Talha Riaz, Cole Rischbieter, Caleb Roberts, Tyler Rowden, Stephen Sankpill, Joshua Santy, Lindsay Schneider, Alexis Ham, Anna Schroeter, Amitav Sen, Ace Cannon, Aidan Sengupta, Noah Sparks, Lei Xu, Hu Yang, Nathan Tibbetts, Satish Puri, Nathan Truong, Punit Turtapati, Lucas Ethington, Lana Herkenhoff, Braden Stillmaker, Joseph Villarreal, Victoria Wegley, R. Joe Stanley, Jason Hagerty, Henry M. Willie, Jarod Wortmann, Khosro Ghorbani Zadeh, Yun Seong Song, Songtao Zhang, Jun Yao, Pengfei Wen, Xinyu Fen, Jiaxing Ban, Siqi Zhang, Geoffrey Sunahara, Wen Ni, Tong Zhou, Varuni Abhayarayne, Joseph Akor, John Yang

Miners Solving for Tomorrow Research Conference

No abstract provided.

Fort Hays State University Faculty Senate Minutes, April 2, 2025, Fhsu Faculty Senate

Faculty Senate

No abstract provided.

Palynological Analysis To Interpret Inputs And Paleoenvironmental Conditions Of Tidal Flat Sediments In The Wouri Estuary, Rahmatoulaye Thialaw Diop, Fatou Penda Cisse, Maguette Ka, Onema Adojoh, Henry Agbogun

SACAD: Scholarly Activities

This study examines the environmental significance of microfossils in specifically pollens, spore and cuticles in understanding paleoenvironment and sediments inputs in Tidal flats in the tropical Wouri estuary. Palynological slides of sediments from different depths with two sediment cores from the east and Western flanks of the Wouri estuary were examined using a trinocular microscope. Results showed the predominance of pollens families of Rhizophoraceae and Poaceae at different depths. Cuticles also varied with depth in both the West and east Wouri sediments cores. The Rhizophoraceae family are interpreted to indicate coastal and mangrove environment inputs into the sediments of the …

Integrating Standards For Infrastructure Improvement And Resilience In University Curricula, Lisa Greenwood, Jennifer Schneider, Sumita Mishra, Yewande S. Abraham, Shriram Karpoora Sundara Pandian

Articles

In today’s ever-changing world, we are increasingly vulnerable to shocks and stresses that disrupt industry and society. Persistent threats from natural and manmade hazards require our communities and infrastructure to be resilient despite possible disruption. Creating robust infrastructures is founded on operational and physical standards to withstand and respond to threats such as environmental exposures, climate change, and informational security breaches. The significant U.S. investment in infrastructure projects through the Infrastructure Investment and Jobs Act has amplified the need for professionals in engineering and related fields who – in addition to technical knowledge - possess the necessary knowledge and skill …

Reframing Information Seeking In The Age Of Generative Ai: A Critical And Humanistic Approach, Joseph Kevin Sebastian

Library Faculty Research

Information-seeking has long been the subject of theoretical modeling, often drawing from cognitive, behavioral, computational, and even evolutionary perspectives to explain how individuals navigate, filter, and utilize information. Several dominant frameworks—Carol Kuhlthau’s Information Search Process, Marcia Bates’ Berrypicking Model, Peter Pirolli & Stuart Card’s Information Foraging Theory, Kiyohiko Nakamura’s Information Criteria framework, and Ian Ruthven’s Information Shaping Theory —have provided structured ways of understanding how people interact with information environments. However, while these frameworks offer valuable insights, they often operate within mechanistic or efficiency-driven paradigms, which risk overlooking the complex, embodied, and socioculturally situated nature of human information behaviors. These …

Fostering Inclusive Learning: Exploring Trauma, Special Education, And The School Referral Process For Student Success, Angela Cheng

LMU Theses and Dissertations

This study investigates the critical gaps in trauma-informed practices and culturally responsive strategies within the educational system, focusing on the disconnect between general and special education. Using Dis/ability Critical Race Theory (DisCrit) as a theoretical framework, and Bronfenbrenner’s Ecological Systems Theory, and Maslow’s Hierarchy of Needs as conceptual frameworks, the research explores how trauma and race-based inequities shape student experiences and referral processes, particularly for special education services Annamma et al., 2013b, 2017; Bronfenbrenner, 1979; Maslow, 1987). Through qualitative interviews with general education teachers across California, the study uncovers the widespread unpreparedness among educators to address trauma and its implications …

Standard Search Logic Under Article 9: The Florida Debacle Revisited, Kenneth C. Kettering

University of Miami Law Review

If a financing statement is filed in a filing office that does not have a search system that uses a standard search logic, Article 9 of the Uniform Commercial Code provides that there is no tolerance for any error, however slight, in the debtor’s name shown on that financing statement. Such an erroneous financing statement will not be effective to perfect a security interest. In 2012 the author warned that the search system used by Florida’s central filing office lacks a standard search logic, and in 2022 the Florida Supreme Court so held. This Article (i) details how Florida should …

Proceedings Of The 81st Annual Meeting, Midwestern Association Of Graduate Schools

Midwestern Association of Graduate Schools

Table of Contents: 2025 MAGS Annual Meeting

Indianapolis, Indiana | April 2–4, 2025 Theme: Restart Your Engines to Renew, Refresh, and Reimagine Graduate Education!

Wednesday, April 2, 2025

Preconference: New Graduate Administrators Workshop Plenary I – Issues and Opportunities for Graduate Education: What Is and What Can Be

• Fostering Diversity and Inclusion in Graduate Programs: Supporting Holmes Scholars in Rural Universities
• My Graduation Checklist: Using Canvas to Improve Graduate Students’ Final Experiences at the University of Kansas
• Empowering Successful Mentoring Relationships: Success Stories from the Indiana University, Indianapolis Graduate Mentoring Center
• Moving Past Information Overload: Reimagining a Student-Centered Graduate Orientation …

The Lived Experiences Of Rural Nurses In The Post-Covid-19 Era, Amy Schultes

Walden Dissertations and Doctoral Studies

Approximately 60 million people, or one in five Americans, live in rural areas across the United States. Despite this, there is a lack of information about the experiences of critical access nurses working in rural hospitals that serve small towns and rural areas. The goal with this research was to gain a deeper understanding of the experiences of rural nurses in the post-COVID-19 era. Using hermeneutic phenomenology and rural nursing theory, the lived experiences of eight nurses working in critical access hospitals in Iowa were explored through semi-structured interviews. The qualitative data was analyzed using the hermeneutic circle for phenomenological …

Optimizing Fisher Information In Quantum Technology, Bran Purvis

LSU Doctoral Dissertations

Fisher information is a statistical metric whose inverse represents a lower bound on the variance of an unbiased estimator. Naturally, in order to make the best estimates of a given unknown parameter, one would desire to find ways to minimize the value of this lower bound. Thus, the Fisher information can also be used to compare the quality of different estimators for a given parameter: whichever estimator has a lower value for its Fisher information must also provide better estimates. The same holds true in the framework of quantum information theory, where an analog to the Fisher information, dubbed quantum …

Enhancing Eye Anatomy Education: Integrating 3d Models In Open Educational Resources, Hayley Nickels Yancey

Instructional Psychology and Technology Graduate Student Projects

This project explores how interactive 3D models can enhance eye anatomy education within the framework of open educational resources (OER). Recognizing that students in anatomy and physiology courses often struggle to recognize anatomical structures from multiple perspectives—and frequently lack access to high-quality, low-cost study tools—this project addressed these gaps by designing and developing a custom, interactive 3D model of the human eye. Created using Blender and embedded into a web interface via Verge3D, the model allows users to rotate, zoom, highlight, and isolate structures of the eye, including both external and internal components. The tool was designed specifically for students …

Water Holding Capacity Of Soil And Resilience To Drought, Taro Mieno

Cornhusker Economics

For the past two years, I have been involved in an NSF-funded research project titled “RII Track-2 FEC: Supporting Rural Livelihoods in the Water-Stressed Central High Plains.” The overarching goal of this project is to evaluate the potential of microbials and biochar to enhance soil water holding capacity (hereafter, WHC), thereby improving drought resilience in crop production and reducing irrigation demand to slow aquifer depletion. Visit the project website for more details. A key component of this research is assessing the economic viability of these interventions, a task for which I am responsible.

To understand the economic benefits of increasing …

Development And Application Of Self-Supervised Machine Learning For Smoke Plume And Active Fire Identification From The Fire Influence On Regional To Global Environments And Air Quality Datasets, Nicholas Lahaye, Anastasija Easley, Kyongsik Yun, Hugo Lee, Erik Linstead, Michael J. Garay, Olga V. Kalashnikova

Engineering Faculty Articles and Research

Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) was a field campaign aimed at better understanding the impact of wildfires and agricultural fires on air quality and climate. The FIREX-AQ campaign took place in August 2019 and involved two aircraft and multiple coordinated satellite observations. This study applied and evaluated a self-supervised machine learning (ML) method for the active fire and smoke plume identification and tracking in the satellite and sub-orbital remote sensing datasets collected during the campaign. Our unique methodology combines remote sensing observations with different spatial and spectral resolutions. With as much as a 10% …

International Education And Workforce Readiness At Wisconsin Technical Colleges, Allisen Stojanovic

Walden Dissertations and Doctoral Studies

International education programming plays a critical role in developing workforce readiness skills necessary for today’s global economy and diverse local communities. The purpose of this qualitative case study was to explore the experiences of Wisconsin technical college graduates and leadership administrators regarding workforce readiness, international education programming, and policy. While previous research had focused on the outcomes of university or community college graduates, there has been no study that specifically examined the experiences of technical college graduates or leadership administrators as it relates to international education programming and workforce readiness. The research problem addressed the need for international education programming …

Computational Sensitivity Evaluation Of Ultrasound Neuromodulation Resolution To Brain Tissue Sound Speed With Robust Beamforming, Boqiang Fan, Wayne Goodman, Sameer A Sheth, Richard R Bouchard, Behnaam Aazhang

Faculty, Staff and Student Publications

Low-intensity focused ultrasound (LIFU) neuromodulation requires precise targeting and high resolution enabled by phased array transducers and beamforming. However, focusing optimization usually relies on phantom measurements or simulations with inaccurate acoustic properties to degrade neuromodulation resolution. Therefore, this work analyzes the sensitivity of neuromodulation resolution, measured by off-target activation area (OTAA), to brain tissue sound speed. A Robust Optimal Resolution (ROR) beamforming method is proposed to minimize the worst-case OTAA with restricted sound speed inaccuracy and propagation information estimated with deviated sound speed. The propagation estimation model utilizes equivalent source method (ESM) to map sound field between different acoustic parameter …

Identifiability And Model Selection Frameworks For Models Of High-Grade Glioma Response To Chemoradiation, Khushi C Hiremath, Kenan Atakishi, Ernesto A B F Lima, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D Shanker, Wasif Talpur, Sara Thrower, Jodi Goldman, Caroline Chung, Thomas E Yankeelov, David A Hormuth Ii

Faculty, Staff and Student Publications

We have developed a family of biology-based mathematical models of high-grade glioma (HGG), capturing the key features of tumour growth and response to chemoradiation. We now seek to quantify the accuracy of parameter estimation and determine, when given a virtual patient cohort, which model was used to generate the tumours. In this way, we systematically test both the parameter and model identifiability. Virtual patients are generated from unique growth parameters whose growth dynamics are determined by the model family. We then assessed the ability to recover model parameters and select the model used to generate the tumour. We then evaluated …

A Cnn Compression Methodology For Layer-Wise Rank Selection Considering Inter-Layer Interactions, Milad Kokhazadeh, Georgios Keramidas, Vasilios Kelefouras, Iakovos Stamoulis

School of Engineering, Computing and Mathematics

Convolutional Neural Networks (CNNs) achievestate-of-the-art performance across various application domainsbut are often resource-intensive, limiting their use on resourceconstrained devices. Low-rank factorization (LRF) has emerged asa promising technique to reduce the computational complexity andmemory footprint of CNNs, enabling efficient deployment withoutsignificant performance loss. However, challenges still remainin optimizing the rank selection problem, balancing memoryreduction and accuracy, and integrating LRF into the trainingprocess of CNNs. In this paper, a novel and generic methodologyfor layer-wise rank selection is presented, considering inter-layerinteractions. Our approach is compatible with any decompositionmethod and does not require additional retraining. The proposedmethodology is evaluated in thirteen widely-used, CNN models,significantly …

Identifying Saharan Air Layer Events And Their Relationship To Instability And Rainfall Patterns In The Tropical North Atlantic Ocean, Charles H. Dolce

LSU Master's Theses

Every year, strong North African winds across the Sahara loft dust particles and advect them westward within the Saharan Air Layer (SAL). These plumes of dust often reach the Caribbean Sea and can heavily affect regional weather patterns by suppressing convection. When concentrations are high, decreased rainfall can yield negative societal and ecological impacts, potentially leading to drought. The Puerto Rican early rainfall season (ERS), spanning from 1 April through 31 July, overlaps with Saharan dust migration periods, and systematically detecting instances of SAL activity near the island is important for understanding longer-term drought-forcing trends in the region.

Corridors of …

Chain Theorems For Different Classes Of 3-Connected Graphs, Avin Sunuwar

LSU Doctoral Dissertations

This dissertation explores the structural properties of graphs by extending the classical result of Tutte's Wheel Theorem. In particular, we develop an improved version of Tutte's Wheel Theorem along with new chain theorems for subclasses of 3-connected graphs. These chain theorems provide a systematic approach to characterizing graphs that exclude certain minors, leading to significantly shorter proofs of established results.

In Chapter 5, we present a generalization of the block-tree theorem for connected graphs, which removes the restriction on cut vertices and allows greater flexibility in separator sizes. By integrating the results from Chapters 3, 4, and 5, we …

Gaussian Quantum Markov Semigroups In The Fock-Anti-Fock Representation Of Weyl Algebra, A Dhahri, Franco Fagnola, D Poletti, Hyun Jae Yoo

Journal of Stochastic Analysis

No abstract provided.

War, Violence, And Womanhood: (Re)Membering Women’S Military Narratives In China’S Revolution And Civil War, Szu-Nuo Chou

Kritika Kultura

In this ethnographic study, the author interviewed Chinese women aged 85 and older to explore their childhood and adolescent experiences of exile and military violence in the context of World War II and Chinese Civil War. Throughout the years of China’s revolution and interparty conflicts, ordinary Chinese women suffered from war-related violence—not only on the frontlines, but especially in domestic spaces, where the head of the household (e.g., father,husband, or son) engaged in a variety of violent and misogynistic performances associated with culturally-rooted Chinese patriarchy and masculinity. The author argues that in our current political discourse, the Chinese revolution and …

Living The Coast: On Property And Possession, The Netherlands And Indonesia, And The Free Sea, Rick Dolphijn

Kritika Kultura

When Sigmund Freud visited the Netherlands in the 1920s, he oversaw the Dutch landscape while travelling by rowing boats, carriages, and on foot. The reclamation of the Zuyderzee especially made an impression. He concluded that this drive for culture to control nature was similar to how the Ego wanted to control the Id. Of course, this was not a recent phenomenon in the Netherlands. During two earlier visits (in 1908 and 1910), Freud visited the major museums of the Netherlands where he was especially interested in the landscape painters of the seventeenth century. Landscape is actually one of those Dutch …

7 Plus Minus 2 Law Revisited: Alternative Geometric Explanation, Mayan Arithmetic, And Using 9- And 18-Based Numbers In Jewish Tradition, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

A recent paper showed that to make sure that the movements in the crowd are not chaotic, the directions of all the motions should deviate from some fixed direction by no more than 13 degrees. We show that this results provides a new geometric explanation for the seven plus minus two law in psychology, according to which we can keep in mind no more than 7 plus minus 2 items. We also show that all this is related to the somewhat mysterious appearance of 9- and 18-based number systems in Jewish and Mayan traditions.

Why Um And U*Log(U) Are The Most Effective Nonlinear Functions In Fuzzy Clustering: Theoretical Explanation Of The Empirical Fact, Olga Kosheleva, Vladik Kreinovich, Yuchi Kanzawa

Departmental Technical Reports (CS)

In fuzzy clustering, we need to have non-linear functions of the membership degrees. Different nonlinear functions have been tried. Empirical evidence shows that for fuzzy clustering, the most effective nonlinear functions are um and u*log(u). In this paper, we provide a theoretical explanation for this empirical fact.

Egyptian Triangle And Geometry Of Airplane Wings: A Simplified Explanation, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

In historically first planes, wings were orthogonal to the fuselage. However, later it turned out that from the aerodynamic viewpoint, it is most efficient to place the wings at about 37 degrees from this orthogonal direction -- and this is where wings are placed in most modern planes. There exist theoretical explanations for this optimality -- explanations based on solving the equations of aerodynamics. In such situations when only a complex not-very-intuitive explanation exists, it is desirable to come up with a simpler more intuitive explanation. For the wing angles, such an explanation is provided in this paper. Namely, we …

"At Least K Out Of N" Under Fuzzy Uncertainty: Efficient Algorithm For General "And"-Operations, Olga Kosheleva, Vladik Kreinovich, Klaus-Peter Adlassnig

Departmental Technical Reports (CS)

In medicine, many diagnoses are made when, for some value k, at least k of n possible symptoms are present. Many of such symptoms -- such as fever -- are, in reality, fuzzy. For example, it makes no sense that say that 38.0 is fever while 37.9 is not a fever, both are fever to some degree. Once such degrees are given, we need to use them to estimate the degree to which the patient has the corresponding disease. For this problem, the usual fuzzy techniques require exponentially many computational steps -- so it is desirable to have a more …

Why Interval-Valued (And Type-2) Fuzzy Methods Are Often More Effective, Christian Servin, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Interval-valued and type-2 fuzzy techniques were designed to provide a more adequate representation of expert knowledge than the traditional (type-1) fuzzy techniques. Somewhat unexpectedly, they also often turn out to be more effective even when there is no expert knowledge at all -- when we are simply using fuzzy rules to fit experimental data. In precise terms, for the same number of parameters, interval-valued and type-2 systems often provide a better fit for the data and/or better quality control than traditional (type-1) fuzzy techniques. In this paper, we provide a theoretical explanation for this surprising phenomenon.

Why Convex Combinations Of Interval Endpoints: Related Explanations For Cases Of Data Processing And Decision Making, Christian Servin, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

There are two cases in which it has been empirically shown that a convex combination of the interval's endpoints works better than any other combination: processing interval data and dealing with situations in which we know both approximate probability and possibility and we need to make a decision. In this paper, we provide an explanation of both phenomena.