Digital Commons Network^™

Full Degree Spanning Trees In Random Regular Graphs, Sarah Acquaviva, Deepak Bal

Department of Mathematics Faculty Scholarship and Creative Works

We study the problem of maximizing the number of full degree vertices in a spanning tree T of a graph G; that is, the number of vertices whose degree in T equals its degree in G. In cubic graphs, this problem is equivalent to maximizing the number of leaves in T and minimizing the size of a connected dominating set of G. We provide an algorithm that produces (w.h.p.) a tree with at least 0.4591n vertices of full degree (and also, leaves) when run on a random cubic graph. This improves the previously best known lower bound of 0.4146n. We …

Estimation Of The Berthing Parameter Of Unmanned Surface Vessels Based On 3d Lidar, Haichao Wang, Yong Yin, Qianfeng Jing, Lin Cong

Journal of System Simulation

Abstract: Accurate estimation of berthing parameters is a prerequisite for unmanned surface vessel autonomous berthing. A method for berthing parameter estimation is proposed based on shipborne 3D LiDAR. The method consists of two main modules: ship pose estimation and berthing state estimation. In the berthing position estimation module, raw point cloud data undergoes preprocessing algorithms aims at downsampling and removing outliers. Point cloud registration algorithms are employed to determine the vessel's position during the berthing process. The berthing state estimation module extracts berth boundary information by using the MSAC algorithm, and on the basis of this information, calculates the berthing …

The Cofactor Matrix For Optimized Normal Transformations & Real-Time Caustics And Refractions Using Signed Distance Fields, Dane William Christensen

Theses and Dissertations

This thesis contains two distinct manuscripts both focused on real-time rendering research; an abstract for each is provided: 1. We survey methods for mapping normal vectors to a transformed surface with emphasis on the cofactor matrix form. We demonstrate that the cofactor matrix uniquely and correctly supports matrix transformations that are rank deficient or have negative determinants, while also generalizing to operations such as rotation, scaling, translation, and shearing. We derive and demonstrate the completeness of this new convention in contrast to other approaches, while also establishing its computational efficiency benefits. 2. We present SDF volumes as an efficient datastructure …

Instructional Technology Tetrahedron And Network Visualization: Conceptualizing Online Teaching Through A Lens Of Reflective Noticing, Jinqing Liu, Orly Buchbinder

Faculty Publications

Online learning and teaching, accelerated by the global pandemic and rapid advancement of digital technology, require novel conceptual and analytical tools to understand better the evolving nature of online teaching. Drawing on the classical model of the instructional triangle and previous attempts to extend it, we propose the Instructional Technology Tetrahedron (ITT)—a conceptual framework that integrates technology into the instructional triangle to represent the role of technology, as a learning tool and a mediator between teachers, students, and content. Combining the ITT framework with network visualization strategies allowed for representing the intensity of interactions within the tetrahedron. We illustrate the …

Instructional Technology Tetrahedron And Network Visualization: Conceptualizing Online Teaching Through A Lens Of Reflective Noticing, Jinqing Liu, Orly Buchbinder

Faculty Publications

Online learning and teaching, accelerated by the global pandemic and rapid advancement of digital technology, require novel conceptual and analytical tools to understand better the evolving nature of online teaching. Drawing on the classical model of the instructional triangle and previous attempts to extend it, we propose the Instructional Technology Tetrahedron (ITT)—a conceptual framework that integrates technology into the instructional triangle to represent the role of technology, as a learning tool and a mediator between teachers, students, and content. Combining the ITT framework with network visualization strategies allowed for representing the intensity of interactions within the tetrahedron. We illustrate the …

Traveling Wave Phenomena Of Inhomogeneous Half-Wave Equation, Zhaosheng Feng, Yu Su

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we are concerned with traveling wave phenomena of the inhomogeneous half-wave equation, which models the energy of a spin zero particle in the Coulomb field. We study the Gagliardo-Nirenberg and critical Hardy-Sobolev inequalities with velocity 0 < | v | < 1 and obtain the estimates for the best constants and optimizers of inequalities. Moreover, we establish the non-scattering results with small traveling wave for energy subcritical and critical cases.

Climate Change And Its Impact On Health: A Global Collaborative Learning Model, Harriet Okatch, Patricia Remshifski, Anita Fennessey, Haley Campbell, Sivia Barnoy, Jason Friedman, Stephen Kern, Rosemary Frasso, Cecilia Sorensen, Tami Bar-Shalita, Louis Hunter

College of Population Health Faculty Papers

To address the health effects of climate change, leaders in healthcare have called for action to integrate climate adaptation and mitigation into training programs for health professionals. However, current educators may not possess sufficient climate literacy and the expertise to effectively include such content in their respective healthcare curricula. We, an international and interprofessional partnership, collaborated with experts to develop and deploy curriculum to increase health educators' and graduate health profession students' knowledge and competencies on climate change. In a tri-step process, the first phase included recruiting interested faculty members from two institutions and varying health professions. In phase two, …

Unveiling The Magnetic And Structural Properties Of Hydrohematite : A Potential Water-Bearing Mineral On The Surface Of Mars, Abdullah Al Maruf

Dartmouth College Master’s Theses

Hematite (α-Fe₂O₃) is one of the most prevalent iron oxides in sedimentary rocks and on the surface of Mars. Recent studies suggest that natural "hydrohematite" exists, wherein hematite accommodates cations through compensation at the Fe³⁺–site, forming –OH bonds (i.e., structural water), with important implications for water in arid planetary environments. We present a detailed magnetic characterization to elucidate the magnetic response of H–doping on these samples, corroborating the results with first-principles calculations. First-order reversal curves show a sharp diagonal wing due to triaxial basal plane anisotropy. Low-temperature cooling experiments show the complete suppression of …

Beyond The Canon: Intertextuality, Diversity, Student Engagement, And Combatting Polarization In The Secondary Humanities Classroom, Francis Ellinwood

Dartmouth College Master’s Theses

This thesis addresses the need for an inclusive, interdisciplinary approach to secondary humanities education in response to contemporary American social polarization and the influence of digital media. Traditional humanities curricula, often centered on a Eurocentric canon, fail to foster critical thinking and empathy in an era of identity politics and algorithm-driven social media. Advocating for a curriculum that integrates diverse cultural narratives and various storytelling mediums, this thesis combines theoretical analysis, pedagogical experimentation, and case studies. Drawing on cultural critics and theorists like bell hooks, Paul Gilroy, and Tricia Rose, the thesis underscores the importance of diverse narratives in education. …

Faids: Artificial Intelligence Developmental Systems Framework For Predicting And Preventing Cyberattacks In Supply Chain Networks, Lordt Becklines

Research & Publications

Cyber threats and attacks disrupt and damages supply chain networks (SCNs), which are complex and interlinked. Current methods to predict and prevent cyberattacks are inadequate and ineffective. This research proposes an AI developmental systems framework (FAIDS) to protect SCNs from cyberattacks. The framework has four components: (1) an AI threat intelligence system; (2) an AI risk assessment system; (3) an AI decision support system; and (4) an AI learning and adaptation system. The framework is tested on a simulated retail SCN. The results show that the framework can predict and prevent cyberattacks and improve the network's resilience and security. The …

Coal Wettability: A Holistic Overview Of The Data Sets, Influencing Factors, And Knowledge Gaps, Muhammad Arif, Faisal Ur Rahman Awan, Haiyang Zhang, Mirhasan Hosseini

Research outputs 2022 to 2026

Coal seams are naturally occurring geological media offering tremendous potential for gas storage. The wetting characteristics of coals at typical geological formations underpin a diverse array of processes spanning coal resource recovery, combustion, enhanced coal beneficiation, enhanced methane recovery, and CO2 storage for sustainable energy transition. An accurate characterization of coal wettability is thus crucial and remains an active area of research. The intrinsic heterogeneity of coal surfaces and the presence of multicomponent systems add layers of intricacy to wetting behavior. In particular, coal wettability characterization is challenging because it is a complex and multifaceted function of a range of …

Killers That Once Were Humans: Reading The Role Of Modern Law Via Instrumental Rationality, Momen Abdelbari Hassan

Theses and Dissertations

For Max Weber, the process of modernization is the process of rationalization in which it includes every realm in our modern life, such as the economy, science, organization, education, and law. However, this kind of rationalization has created coercive and inhumane conditions because rationalization has converted to being instrumental (value-free) without regard to any transcendental or moral values. The inhumane paradigm has become the only fate of our world. The vision needs rational domination to be achieved through formal rational law. Modern law, along with bureaucratization, has paved the road to rational political domination. This kind of domination captures human …

A Platform For Integrating Internet Of Things, Machine Learning, And Big Data Practicum In Electrical Engineering Curricula, Nandana Jayachandran, Atef Abdrabou, Naod Yamane, Anwer Al-Dulaimi

All Works

The integration of the Internet of Things (IoT), big data, and machine learning (ML) has pioneered a transformation across several fields. Equipping electrical engineering students to remain abreast of the dynamic technological landscape is vital. This underscores the necessity for an educational tool that can be integrated into electrical engineering curricula to offer a practical way of learning the concepts and the integration of IoT, big data, and ML. Thus, this paper offers the IoT-Edu-ML-Stream open-source platform, a graphical user interface (GUI)-based emulation software tool to help electrical engineering students design and emulate IoT-based use cases with big data analytics. …

Ronald E. Mcnair Scholars Program Profiles And Abstracts 2024, Mcnair Scholars Program

McNair Symposium

This is the complete event program and provides presentation abstracts and biographies of McNair scholars and their mentors.

Integrated Method For Malignant Cancer Detection And Metastasis Prediction Using Fractal Vein Analysis, Deep Learning, And Multi-Modal Imaging, Renee Gagnon

Defensive Publications Series

This publication presents an innovative method for analyzing, detecting, and predicting malignant cancer and metastasis through the integration of fractal vein pattern analysis, Chaos Game Representation (CGR), state-space models, and a hybrid Spiking Neural Network (SNN) / Convolutional Neural Network (CNN) architecture. This comprehensive approach is designed to address the challenges associated with detecting malignancies and predicting metastasis in medical images across various imaging modalities, focusing on the unique combination of advanced mathematical techniques and deep learning to refine and improve accuracy in cancer detection and prognosis

What Originalism Can Teach Historians: History As Analogy, Means-Ends Tests, And The Problem Of History In Bruen, Kunal M. Parker

Notre Dame Law Review

There is a long tradition of professional historians’ critiques of lawyers’ truncated understandings and clumsy deployments of the past. The intellectual historian J.G.A. Pocock’s The Ancient Constitution and the Feudal Law, with its depiction of a “common-law mind” obdurately committed to the continuity of law and unable to grasp the significance of situating law in historical context, might be taken as the origin point of a post–World War II tradition. Historians’ critiques have enjoyed a fresh lease of life since constitutional originalism began to assume prominence in the closing decades of the twentieth century. As legal scholars and judges …

Hyperpolarized Magnetic Resonance Imaging, Nuclear Magnetic Resonance Metabolomics, And Artificial Intelligence To Interrogate The Metabolic Evolution Of Glioblastoma, Kang Lin Hsieh, Qing Chen, Travis C Salzillo, Jian Zhang, Xiaoqian Jiang, Pratip K Bhattacharya, Shyan Shams

Faculty, Staff and Student Publications

Glioblastoma (GBM) is a malignant Grade VI cancer type with a median survival duration of only 8-16 months. Earlier detection of GBM could enable more effective treatment. Hyperpolarized magnetic resonance spectroscopy (HPMRS) could detect GBM earlier than conventional anatomical MRI in glioblastoma murine models. We further investigated whether artificial intelligence (A.I.) could detect GBM earlier than HPMRS. We developed a deep learning model that combines multiple modalities of cancer data to predict tumor progression, assess treatment effects, and to reconstruct in vivo metabolomic information from ex vivo data. Our model can detect GBM progression two weeks earlier than conventional MRIs …

A Sensitivity Equation Framework For Parameter Estimation In Dynamical Systems, Joshua Newey

Theses and Dissertations

We present a new framework for understanding parameter estimation in dynamical systems. The approach is developed within the modeling approach of continuous data assimilation. We outline the basic assumptions that lead to our derivation. Under these assumptions we show that the parameter estimation turns into a finite dimensional nonlinear optimization problem. We show that our derivation reproduces and extends the algorithm originally developed in [9]. We then implement these methods in three example systems: the Lorenz '63 model, the two-layer Lorenz '96 model, and the Kuramoto Sivashinsky equation. So as to remain sufficiently general, our derivations are largely formal; we …

Seismic Structure Of The Alaska And Mariana Subduction Zones From Amphibious Data, Zongshan Li

Arts & Sciences Graduate Student Theses and Dissertations

This dissertation utilizes multiple techniques of seismic tomography to investigate the crust and uppermost mantle structure of two prominent convergent margins: the Alaska and Mariana subduction zones. The study of the Alaska subduction zone largely benefits from the Alaska Amphibious Community Seismic Experiment (AACSE) that deployed from May 2018 to September 2019, as well as the EarthScope Transportable Array (TA) that was simultaneously operating across Alaska. Using 271 seismic stations in total, I analyze the Rayleigh wave phase and group velocity dispersion data retrieved from both ambient noise and teleseismic earthquake data. I then determine the shear velocity model by …

Bruen’S Enforcement Puzzle: Unearthing And Adjudicating The Historical Enforcement Record In Second Amendment Cases, Andrew Willinger

Notre Dame Law Review

The Supreme Court’s 2022 decision in New York State Rifle & Pistol Ass’n v. Bruen brings historical complexity to the fore by instituting a history-focused test for the Second Amendment that demands analogues from the Founding or Reconstruction eras to support modern gun regulations. The majority opinion in Bruen considers, in multiple places, how certain historical gun regulations may have been enforced. In each instance, the Court suggests that evidence of racially disparate enforcement of a historical law is relevant to whether that law is part of the American historical tradition and an appropriate analogue. Historical enforcement data appear to …

Malivhu: A Comprehensive Bioinformatics Resource For Filtering Sars And Mers Virus Proteins By Their Classification, Family And Species, And Prediction Of Their Interactions Against Human Proteins, David Guevara-Barrientos, Rakesh Kaundal

Computer Science Student Research

COVID 19 pandemic is still ongoing, having taken more than 6 million human lives with it, and it seems that the world will have to learn how to live with the virus around. In consequence, there is a need to develop different treatments against it, not only with vaccines, but also new medicines. To do this, human-virus protein-protein interactions (PPIs) play a key part in drug-target discovery, but finding them experimentally can be either costly or sometimes unreliable. Therefore, computational methods arose as a powerful alternative to predict these interactions, reducing costs and helping researchers confirm only certain interactions instead …

A Pwm Control Method For Reducing Electromagnetic Noise At The Generation Source In Power Electronic Converters, Abhijeet Prem

Dissertations and Theses

Advancements in power semiconductor devices are enabling the design of better electrical power conversion systems. Wide Bandgap (WBG) switching devices using materials like Silicon Carbide and Gallium Nitride can operate at higher temperatures, voltages, and frequencies with faster turn-on/off periods, improving converter performance over silicon devices. However, WBG technologies are still new, and the rapid switching transitions of these devices lead to issues such as voltage overshoots, ringing, and electromagnetic interference, which need to be addressed for widespread adoption. This work introduces a new control method for reshaping the switching voltages, which overcomes the disadvantages of fast transition time without …

Leadership In The Age Of Ai, Muhammad Hassan

Educational Leadership OER Repository

In today's world of rapid technological advancements, the nature of leadership has transformed. The rise of Artificial Intelligence (AI) and other technologies that support AI and data analysis has reshaped industries and challenged traditional leadership models that once thrived in more predictable environments.

Development Of Vla4 And Cxcr4 Antagonists For The Mobilization Of Hematopoietic Stem And Progenitor Cells, Peter G Ruminski, Michael P Rettig, John F Dipersio

2020-Current year OA Pubs

The treatment of patients diagnosed with hematologic malignancies typically includes hematopoietic stem cell transplantation (HSCT) as part of a therapeutic standard of care. The primary graft source of hematopoietic stem and progenitor cells (HSPCs) for HSCT is mobilized from the bone marrow into the peripheral blood of allogeneic donors or patients. More recently, these mobilized HSPCs have also been the source for gene editing strategies to treat diseases such as sickle-cell anemia. For a HSCT to be successful, it requires the infusion of a sufficient number of HSPCs that are capable of adequate homing to the bone marrow niche and …

Alternate Conformational Trajectories In Ribosome Translocation, Jose L. Alejo, Dylan Girodat, Michael J. Hammerling, Jessica A. Willi, Michael C. Jewett, Aaron E. Engelhardt, Katarzyna P. Adamala

Chemistry & Biochemistry Faculty Publications and Presentations

Abstract

Translocation in protein synthesis entails the efficient and accurate movement of the mRNA-[tRNA]₂ substrate through the ribosome after peptide bond formation. An essential conformational change during this process is the swiveling of the small subunit head domain about two rRNA ‘hinge’ elements. Using iterative selection and molecular dynamics simulations, we derive alternate hinge elements capable of translocation in vitro and in vivo and describe their effects on the conformational trajectory of the EF-G-bound, translocating ribosome. In these alternate conformational pathways, we observe a diversity of swivel kinetics, hinge motions, three-dimensional head domain trajectories and tRNA dynamics. By finding …

Beyond Mindset : Investigating Neural And Psychological Mechanisms Of Strategic Mindset, Growth Mindset And Feedback Learning, Yaqi Yang

Lingnan Theses (MPhil & PhD)

Extensive research has explored the benefits of the growth mindset over the past decades. Recently, researchers have turned their attention to the strategic mindset, a new concept with the potential to positively impact cognitive and behavioural change. While some literature suggests that both mindsets are associated with feedback learning, robust evidence is lacking, and the relationship between the three factors remains unknown. This thesis aims to investigate the neural and psychological mechanisms underlying the strategic mindset, growth mindset, and feedback learning through three distinct studies.

In Study 1, utilising a self- and other-rating paradigm, we examined neural and behavioural evidence …

2024 Fall Convocation Program, Morehead State University. Office Of Communications & Marketing.

Communications and Marketing Publications Archive

The 2024 Morehead State University Convocation Program from August 14, 2024.

The George-Anne Inkwell Edition, Georgia Southern University

The Inkwell

No abstract provided.

Synthesis Of Addressable Libraries: New Lessons And The Need For Proper Characterization For Microelectrode Array-Based Reactions, Albert Huang

Arts & Sciences Graduate Student Theses and Dissertations

The Moeller group has been developing synthetic tools for building molecular libraries on microelectrode arrays since 2004. Such a library is intriguing because one can take advantage of the library for biological signaling studies. Microelectrode arrays can serve as a powerful platform for those experiments since every electrode in the array can be addressed individually. Unique members of the library targeting biological receptors that one is interested in can be restricted only above unique electrodes in an array. Thus, high-affinity ligands for those receptors can be identified with this strategy. To make this method work, one has to make sure …

Successful Strategies Of Small Business Owners Of Coffee Shops, Tom Gates

Walden Dissertations and Doctoral Studies

Many small business owners of U.S. coffee shops lack effective strategies to sustain their business beyond the first 5 years. Small business owners are concerned that the use of ineffective strategies can negatively impact the coffee shop’s profitability and competitiveness. The purpose of the qualitative multiple case study was to explore what type of skills, business acumen, and strategies small business owners of coffee shops use to be successful within the first 5 years of operation. The conceptual framework that grounded this study was von Bertalanffy’s general systems theory. The participants were five small business coffee shop owners in the …