Digital Commons Network^™

A Secure And Privacy-Preserving Signature Protocol Using Quantum Teleportation In Metaverse Environment, Pankaj Kumar, Vivek Bharmaik, Sunil Prajapat, Garima Thakur, Ashok Kumar Das, Sachin Shetty, Joel J. P. C. Rodrigues

VMASC Publications

The burgeoning concept of the metaverse as an interconnected virtual space represents the forefront of the next-generation internet. Quantum teleportation, known for its prowess in ensuring secure and reliable communications, stands poised to revolutionize interactions within this immersive digital realm. In this context, we propose a comprehensive interaction protocol tailored for the metaverse environment. The designed protocol entails two fundamental components: first, the interaction between a user and their avatar, facilitated by a secure seven-qubit entangled state; and second, the interaction between two avatars, enabled through an efficient two-qubit entangled state. To fortify the protocol’s resilience, quantum key distribution (QKD) …

Classification Of Instructional Activities In Classroom Videos Using Neural Networks, Jonathan K. Foster, Matthew Korban, Peter Youngs, Ginger S. Watson, Scott T. Acton

VMASC Publications

Classroom videos have become an integral part of classroom observation and instructional quality studies. Researchers encounter substantial financial and time-consuming costs gathering trained personnel to catalogue and analyze a large quantity (i.e., hundreds of hours) of classroom videos. In this chapter, we argue that deep-learning neural networks have potential to help with these tasks by detecting features of instruction in videos. We evaluated the performance of three neural networks in detecting instructional activities in classroom videos. The video dataset included a total of forty-six hours, which was evenly split between elementary mathematics and English language arts lesson recordings. Results showed …

Predicting The Need For Cardiovascular Surgery: A Comparative Study Of Machine Learning Models, Arman Ghavidel, Pilar Pazos, Rolando Del Aguila Suarez, Alireza Atashi

Engineering Management & Systems Engineering Faculty Publications

This research examines the efficacy of ensemble Machine Learning (ML) models, mainly focusing on Deep Neural Networks (DNNs), in predicting the need for cardiovascular surgery, a critical aspect of clinical decision-making. It addresses key challenges such as class imbalance, which is pivotal in healthcare settings. The research involved a comprehensive comparison and evaluation of the performance of previously published ML methods against a new Deep Learning (DL) model. This comparison utilized a dataset encompassing 50,000 patient records from a large hospital between 2015-2022. The study proposes enhancing the efficacy of these models through feature selection and hyperparameter optimization, employing techniques …

Integrative Machine Learning Approaches For Enhanced Classification Of Genomic Sequences: A Next-Generation Sequencing Perspective, Sujatha Alla, Nagesh Bheesetty, Sai Gireesh Komaragiri, Prasanthi Chidipudi, Joshit Mohanty, Sathish Kumar Chintala, Jubin Thomas, Jayapal Vummadi, Hemanth Volikatla, Navin Kamuni

Engineering Management & Systems Engineering Faculty Publications

The advent of Next-Generation Sequencing (NGS) techniques has revolutionized genomic research by enabling the rapid sequencing of DNA and RNA. This data can be used for various applications, including genome sequencing, transcriptome profiling, metagenomics, and epigenetics studies. For this study, DNA classifier dataset was extracted from UCI repository of machine learning databases. This vast amount of genomic data necessitates the development of sophisticated machine learning (ML) models for effective classification and analysis. This study presents a comprehensive comparison of various ML models, including Support Vector Machines (SVM), Random Forests (RF), and Neural Networks (NNs), approaches, in classifying genomic data. We …

Integrating Generative Artificial Intelligence With Systems Architecting Diagram Creation: Advancement, Challenges, Opportunities And Future Perspectives, Cansu Yalim, Holly H. Handley

Engineering Management & Systems Engineering Faculty Publications

Generative AI (GenAI) serves as a powerful tool that can create a wide range of content, including but not limited to text, speech, images, code, videos, and 3D models. ChatGPT stands out as a particularly appealing Generative Pretrained Transformer (GPT) model that offers supplementary capabilities through GPTs and plugins. These extensions enable users to engage with the chatbot and improve its functionality, surpassing mere content generation. Our study delves into the potential of ChatGPT, specifically GPT-4, to expedite the creation of diagrams to support the system architecting process. To this end, we explored the use of ChatGPT's Diagrams Show Me …

Improving Neuropathological Analysis With Aβgan: Addressing Morphology Imbalance For Efficient Alzheimer's Disease Diagnosis, Sujatha Alla, Prasanthi Chidipudi, Nagesh Bheesetty, Vedvikash Reddy Velur, Joshit Mohanty, Puneeth Bheesetty, Marisha Jmukhadze, Narendra Lakshmana Gowda, Sai Gireesh Komaragiri

Engineering Management & Systems Engineering Faculty Publications

Histopathologists are experiencing a digital revolution in their field thanks to the digitization of Whole Slide Images (WSIs), which are microscope slides of tissue that can measure gigapixels in size. With so much high resolution data at their disposal, computer vision techniques can now be used to automate laboratory processes, create visual standards, and increase analysis throughput, all of which reduce the workload of pathologists [1]. The "gold" standard in neuropathology, particularly for Alzheimer's Disease- is pathological diagnosis made by looking at White Matter Inclusions (WSIs) in brain tissue. Semi-quantitative scoring in accordance with the standards established by the Consortium …

Domestic Supply (A Feminist Proposal), Jennifer S. Hendricks

Publications

No abstract provided.

Invisible Adjudication In State Supreme Courts, Adam B. Sopko

Publications

As the U.S. Supreme Court continues retrenching important constitutional rights, interest is shifting to state courts and constitutions to serve as a backstop. More and more, state supreme courts are at the center of some of our most important debates of law and policy, resolving questions concerning bodily autonomy, democracy, the environment, and more. The increased attention on state supreme courts highlights the complexity and nuance that attend these institutions and reveals our limited understanding of how they operate and influence society. This Article examines one such aspect of state supreme court practice: the shadow docket. While the U.S. Supreme …

Ai Malpractice, Bryan H. Choi

Publications

Should AI modelers be held to a professional standard of care? Recent scholarship has argued that those who build AI systems owe special duties to the public to promote values such as safety, fairness, transparency, and accountability. Yet, there is little agreement as to what the content of those duties should be. Nor is there a framework for how conflicting views should be resolved as a matter of law.

This Article builds on prior work applying professional malpractice law to conventional software development work, and extends it to AI work. The malpractice doctrine establishes an alternate standard of care—the customary …

Thirty-Five Years Of Inaction: The Unfulfilled Promise Of The Medicaid Equal Access Provision, Delaram Takyar

Publications

No abstract provided.

Immigration Detention Abolition And The Violence Of Digital Cages, Sarah Sherman-Stokes

University of Colorado Law Review

The United States has a long history of pernicious immigration enforcement and surveillance. Today, in addition to more than 34,000 people held in immigration detention, Immigration and Customs Enforcement (ICE) shackles and surveils an astounding 376,000 people under its “Alternatives to Detention” (“ATD”) program. The number of people subjected to this surveillance has grown dramatically in the last two decades, from just about 1,700 in 2005. ICE’s rapidly expanding Alternatives to Detention program is a “digital cage,” consisting of GPS-outfitted ankle shackles and invasive phone and location tracking. Government officials and some immigrant advocates have characterized these digital cages as …

Federal Indian Law As Method, Matthew L.M. Fletcher

University of Colorado Law Review

No abstract provided.

Force Majeure And The Law Of The Colorado River: The Confluence Of Climate Change, Contracts, And The Constitution, Mary Slosson

University of Colorado Law Review

Climate change is causing significant, permanent changes to the natural world. In the Colorado River Basin, experts forecast that rising temperatures will cause the spread of a drier, more arid climate across the region. The effects of this desertification are already being felt: less rainfall, the loss of deciduous forests, wildfires that engulf urban areas, and a projected 20 to 30 percent reduction in flows on the Colorado River by mid-century. The net effect is an existential crisis for the forty million people that reside in the Colorado River’s watershed. Mitigating the effects of climate change requires swift action. However, …

Estate To State: Pay-To-Stay Statutes And The Problematic Seizure Of Inherited Property, Brittany L. Deitch

University of Colorado Law Review

Pay-to-stay statutes allow states to recover their incarceration-related expenditures from those who are currently or have formerly been incarcerated. Mass incarceration is expensive, and states have aimed to shift this financial burden from their taxpayers and government coffers to the individuals who experience incarceration. Although pay-to-stay laws take many forms, in general, they authorize the government to seek recompense for an individual’s incarceration costs from the currently or formerly incarcerated person’s assets and income. Many states permit the seizure of inherited property to satisfy this legal financial obligation. Pay-to-stay laws have survived constitutional challenges thus far, but some state legislatures …

Advancements And Challenges In Additively Manufactured Functionally Graded Materials: A Comprehensive Review, Suhas Alkunte, Ismail Fidan, Vivekanand Naikwadi, Shamil Gudavasov, Mohammad Alshaikh Ali, Mushfig Mahmudov, Seymur Hasanov, Muralimohan Cheepu

Engineering Technology Faculty Publications

This paper thoroughly examines the advancements and challenges in the field of additively manufactured Functionally Graded Materials (FGMs). It delves into conceptual approaches for FGM design, various manufacturing techniques, and the materials employed in their fabrication using additive manufacturing (AM) technologies. This paper explores the applications of FGMs in diverse fields, including structural engineering, automotive, biomedical engineering, soft robotics, electronics, 4D printing, and metamaterials. Critical issues and challenges associated with FGMs are meticulously analyzed, addressing concerns related to production and performance. Moreover, this paper forecasts future trends in FGM development, highlighting potential impacts on diverse industries. The concluding section summarizes …

A Benchmark Framework For Data Visualization And Explainable Ai (Xai), Murat Kuzlu, Gokcen Ozdemir, Umut Ozdemir

Engineering Technology Faculty Publications

This research introduces a benchmark framework, called EDUMX, designed for machine learning (ML)- based forecasting and XAI tasks, leveraging the Streamlit open-source Python library. The framework offers a comprehensive suite of functionalities, including data loading, feature selection, relationship analysis, data preprocessing, model selection, metric evaluation, training, and real-time monitoring. Users can easily upload data in diverse formats, explore relationships between variables, preprocess data using various techniques, and assess the performance of the ML model using customizable metrics. With its user-friendly interface, this framework offers invaluable insights for forecasting tasks in various domains, catering to the evolving needs of predictive analytics. …

Momentech - Modern Explorations Of The Impulse-Momentum Theorem, Todd Gelbord

Publications and Research

Herein we outline the design and construction of an instructional laboratory demonstration of the conservation of linear momentum, by way of the Impulse-Momentum Theorem, utilizing small, commercially available accelerometers attached to microcontrollers. The set-up is equipped with small, OLED screens which are able to display real-time acceleration graphs. Furthermore, a template for an experiment involving this set-up is provided. We also explore various data analysis options for different levels of student sophistication.

‘I Know It When I See It’– Developing Quality Schedules Considering Subjective Or Unspecified Criteria, Douglas L. Moody

Publications and Research

Most timetabling problems have a given objective function to measure the quality of a solution. However, users may have a “I know it when I see it” recognition of a quality schedule, without specifying the complete basis for their judgment. In this situation, the objective function cannot be exclusively used as a solution quality measurement. This work presents an AI based approach to aid in categorizing the solution’s quality when the users have not explicitly defined all factors used in their criteria.

Predatory Publishing And Global Scholarly Communications, Monica Berger

Publications and Research

redatory publishing is a complex problem that harms a broad array of stakeholders and concerns across the scholarly communications system. It shines a light on the inadequacies of scholarly assessment and related rewards systems, contributes to the marginalization of scholarship from less developed countries, and negatively impacts the acceptance of open access.   To fix what is broken in scholarly communications, academic librarians must act as both teachers and advocates and partner with other stakeholders who have the agency to change how scholarship is produced, assessed, and rewarded. Predatory Publishing and Global Scholarly Communications is a unique and comprehensive exploration of …

Reclaiming & Reasserting Third World Womanhoods In U.S. Higher Education, Bhavika Sicka

Educational Leadership & Workforce Development Faculty Publications

This study combines narrative inquiry with Third World feminism to bring a nuanced and scopic perspective of Third World women student experiences in US higher education. Specifically, it utilises Talpade Mohanty's concept of Third World womanhood to visibilise the experiences of five Third World international female students. Understanding womanhood as transnationally fluid and contextual, I investigate how women international students from the Third World perceive themselves to be misrepresented or homogenised in Western higher education. I also examine how gender and foreignness act as dynamic, interrelated categories in doubly‐othering this population. The purpose is to identify how Third World women …

Segregation And School Composition In Washington, D.C. Following The Implementation Of A Unified School Lottery, Jason E. Saltmarsh, Francisco Lagos

Educational Leadership & Workforce Development Faculty Publications

The global expansion of choice programs fuels debates about the equity potential of school choice policies and mechanisms. In 2014, Washington, D.C. pioneered a citywide lottery and enrollment system to match students with preferred institutions and distribute access to seats in high-demand schools. While unified lottery and enrollment systems impact a vast number of students and influence educational opportunities across continents, little evidence exists on the efficacy of these systems or the link between centralized lotteries and changes in school composition or segregation. Using longitudinal data and an interrupted time series analysis, this study examines the relationship between D.C.’s centralized …

Chatgpt, Ai Large Language Models, And Law, Harry Surden

Publications

This Essay explores Artificial Intelligence (AI) Large Language Models (LLMs) like ChatGPT/GPT-4, detailing the advances and challenges in applying AI to law. It first explains how these AI technologies work at an understandable level. It then examines the significant evolution of LLMs since 2022 and their improved capabilities in understanding and generating complex documents, such as legal texts. Finally, this Essay discusses the limitations of these technologies, offering a balanced view of their potential role in legal work.

Dissenting Opinion?, Richard B. Collins

Publications

Johnson v. M'Intosh is important for its extensive description of the racist Doctrine of Discovery. But its holding had no bearing on legal rights of American Indian nations. The opinion's articulation of tribal rights to land ownership and retained sovereignty were correctly stated.

The Cycle Of Delegitimization: Lessons From Dred Scott On The Relationship Between The Supreme Court And The Nation, Jonathon J. Booth

Publications

This Article examines how Chief Justice Taney’s opinion in Dred Scott v. Sandford sparked a cycle of delegitimization that parallels contemporary debates about the Supreme Court’s legitimacy crisis. Part I explicates how one family’s fight for freedom in Missouri reached the Supreme Court, the resulting radical decision, and the nation’s reaction to show the initial stages of this cycle.

Part II examines the impact of Dred Scott on politics and law during the James Buchanan administration (1857–1861). During this period, the federal government, Southern states, and some Western territories swiftly implemented the decision, for example by expelling free Black residents. …

Defining "Healthy" On Food Labels: One Step Forward, Two Steps Back, Alexia Brunet Marks

Publications

Few definitions of the mid-twentieth century have survived into the twenty-first century. It is worth asking, then, why the definition of "health," articulated seventy-five years ago by the World Health Organization, has endured into the present. The 1948 definition reads as follows: "[h]ealth is a state of complete physical, mental[,] and social well-being and not merely the absence of disease or infirmity." Aspirational in tone, the definition resonates with the surge among consumers towards healthier foods and overall well-being. However, in addition to wartime and pandemic concerns, today's threats to achieving "health" include climate change and a rise in diet-related …

Reflections On The Implied Covenant Of Good Faith And Fair Dealing Under Delaware Law: The Case Of Sandbagging, Mark J. Loewenstein

Publications

No abstract provided.

Zoom As An In-Person Learning Platform, Sloan G. Speck

Publications

During the COVID-19 pandemic, an unprecedented shift to remote learning spurred many legal educators to reassess their pedagogical norms and practices. These reassessments were enabled, in part, by the widespread adoption and acceptance of videoconferencing software, most notably Zoom, that accelerated from March of 2020. Zoom’s catalytic effect on pedagogy belies the fact that no single aspect of Zoom, by itself, is particularly pathbreaking. What is revolutionary, however, is how Zoom bundles diverse functionalities into a coherent package.

By recasting Zoom as a bundle of classroom functionalities--as an in-person learning platform--this Article presents a novel use case for Zoom in …

Spatial Multiplexing And Omics, Julienne L Carstens, Santhoshi N Krishnan, Arvind Rao, Anna G Sorace, Erin H Seeley, Sammy Ferri-Borgogno, Jared K Burks

Faculty, Staff and Student Publications

Much like solving a game of Clue, understanding physiological mysteries involves answering who, what, when, and where. Multi-omics approaches delve into cellular and molecular identities (the who and what), while longitudinal data collection addresses the when. Spatial dimensions address the where. This Primer discusses current technologies enabling quantification across biological scales, emphasizing the importance of retaining the spatial dimension of that data. We outline experimental design considerations, including targeted versus untargeted approaches, sample types, biological scale, and four main classes of molecule detection. Spatial analytics are explored, covering questioning approaches, analytical platforms, image segmentation and sampling. Example applications, reproducibility considerations, …

Correction To: Egfr Tyrosine Kinase Inhibitors For The Treatment Of Metastatic Non‑Small Cell Lung Cancer Harboring Uncommon Egfr Mutations: A Podcast, Xiuning Le, Eric Nadler, Daniel B Costa, John Victor Heymach

Faculty, Staff and Student Publications

No abstract provided.

Differences In Connected Speech Outcomes Across Elicitation Methods, Tatiana T Schnur, Sharon Wang

Faculty, Staff and Student Publications

Background: Connected speech is often used to assess many aspects of an individual's language abilities after stroke. However, it is unknown the degree to which elicitation methods differ in generating structural and syntactic aspects of connected speech, two critical components of successful communication. Quantifying the degree to which elicitation methods differ in eliciting structurally, syntactically, and lexically complex connected speech at the earliest stage of stroke before reorganization and rehabilitation of function independent of clinical diagnosis of aphasia has not been examined to date. Addressing this gap has implications for early clinical intervention as well as empirical studies of connected …