Digital Commons Network^™

A Defensive Strategy Against Android Adversarial Malware Attacks, Fabrice Setephin Atedjio, Jean-Pierre Lienou, Frederica F. Nelson, Sachin S. Shetty, Charles A. Kamhoua

VMASC Publications

Due to the popularity of Android mobile devices over the past ten years, malicious Android applications have significantly increased. Systems utilizing machine learning techniques have been successfully applied for Android malware detection to counter the constantly changing Android malware threats. However, attackers have developed new strategies to circumvent these systems by using adversarial attacks. An attacker can carefully craft a malicious sample to deceive a classifier. Among the evasion attacks, there is the more potent one, which is based on solid optimization constraints: the Carlini-Wagner attack. Carlini-Wagner is an attack that uses margin loss, which is more efficient than cross-entropy …

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 …

Review Of Policing Empires: Militarization, Race, And The Imperial Boomerang In Britain And The Us, Jonathon J. Booth

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 …

Legal Asynchrony: Constitutional “Bridges” Inverting Elemental U.S. Technology, Steven Ferrey

University of Colorado Law Review

The 2022 Biden Inflation Reduction Act (“IRA”) and the 2021 Infrastructure Investment and Jobs Act (“IIJA”), together providing for an unprecedented $1.7 trillion in spending, were enacted to construct a sustainable legal U.S. exit ramp from what the Secretary-General of the United Nations recently described as a “highway to climate hell with our foot still on the accelerator.” This Article analyzes a critical legal missing link in these Acts that is now causing the U.S. economy to do the opposite of its intended climate change mitigation, given: • A necessary eight-fold increase in current renewable electric power, requiring adding the …

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 …

Colonizing Queerness, Jeremiah A. Ho

University of Colorado Law Review

This Article investigates how and why the cultural script of inequality persists for queer identities despite major legal advancements such as marriage, anti-discrimination, and employment protections. By regarding LGBTQ legal advancements as part of the American settler colonial project, I conclude that such victories are not liberatory or empowering but are attempts at colonizing queer identities. American settler colonialism’s structural promotion of a normative sexuality illustrates how our settler colonialist legacy is not just a race project (as settler colonialism is most widely studied) but also a race-gender-sexuality project. Even in apparent strokes of progress, American settler colonialism’s eliminationist motives …

It’S Past Time: Unionization And Self-Determination In Minor League Baseball, Chris Rowley

University of Colorado Law Review

For more than a century, labor disputes have tormented the relationship between American professional baseball players and management. Although Major League Baseball players unionized in the 1960s, disagreements over workplace conditions and ever-growing profit allocations endured for decades. The first thirty years of collective bargaining between players and League post-unionization fostered notable improvements in players’ labor conditions. However, those years were also plagued by acrimonious negotiations, grievances, lawsuits, lockouts, strikes, and eventually, the cancellation of the 1994 World Series. The story in Minor League Baseball is altogether different. Its players, despite their close nexus with the Major League game, did …

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. …

Investigating The Roles Of Plants, Fungi, And Biocrusts In Nutrient Movement Within Dryland Ecosystems, Catherine E. Cort

Open Access Theses & Dissertations

In dryland ecosystems, plant productivity and microbial decomposition are often separated in space and time due to the asynchronous availability of soil moisture and organic matter inputs. It has been proposed that fungi play a key functional role in connecting these cycles by facilitating movement of water, carbon (C), and nitrogen (N) through a network of shared hyphae between plant roots and biological soil crust (biocrust) communities at the soil surface. This connection, also known as the â??fungal loop,â?? effectively re-couples processes of nutrient release and uptake between primary producers and minimizes ecosystem N losses due to leaching, erosion, and …

Conjuring The Moon, Ariella Berkowitz

Open Access Theses & Dissertations

Conjuring The Moon wrestles with the question of why we as women still submit to norms created by men who can't possibly understand our reality. Why should we support ideologies that claim to represent us while actively working against us? Why should we conform to a system that positions us as inessential Other? The speaker of this book aspires to liberate herself from such burdens. Conjuring the Moon encapsulates one woman's search for the feminine divine within herself, her religion, and her environment; but as empowering as this search may be, it remains inextricably connected to her social and historical …

Restorative Materials And Maintenance Protocols, Renata Budny, Khrystyna Vyprynyuk

Publications and Research

No abstract provided.

Compton Scattering Of Mammographic Soft X-Ray Beams By Alkali And Transition Metal Salt Filters Produce X-Ray Interference Zones That May Have Treatment Potential For Localized Cancer Lesions, Subhendra N. Sarkar, Eric Lobel, Sabina Rakhmatova, Derbie Desir, Somdat Kissoon, Daler Djuraev, Katie Tam

Publications and Research

In breast x-ray imaging scattered radiation adds 50% of harmful radiation dose from anisotropic Compton scattering mechanism. We have been working with double layered inorganic salt materials that can induce Compton scattering to the incident mammographic x ray beams (in 20-30 kVp range) with adequate isotropy (angular control). Typically metal nitrates and alkali halide salt layers are shown here to cause low energy radiation interference zones with high and low photon intensities and local flux heterogeneity in terms of flux covariance. Spatial variation of low energy photon flux creates concentrated and sparse radiation zones that may be used to induce …

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.

Circular Economy: The 4rs Reduce-Reuse-Recycle-Recover, Kevin Hom

Publications and Research

This article summarizes the lecture presented at the Net Built 2024 conference. The lecture addresses the unsustainability of the current linear economy, characterized by the "take, make, dispose" model, in light of environmental challenges. The inefficiencies of this system lead to increased energy consumption, elevated CO2 emissions, and the exacerbation of climate change. It examines the current state of design and construction with respect to climate change and sustainable resource management. Additionally, the lecture introduces a methodology that integrates technologies and design philosophies capable of driving significant positive change. By advocating for a transformative approach to the expected lifetime of …

Threading Unity Throughout Itaa: A Collaboration Of Fashion Academics Across Content Threading Unity: Apparel, Marketing, Beauty And Interior Design Within The Fashion Industry, Alyssa Dana Adomaitis, Carter Gabriel Averbeck, Kendel Bolton, Denise Sutton

Publications and Research

Sustainability has been an academic research topic of late that impacts more than just the fashion industry for apparel. Besides the apparel industry, marketing, beauty, and interior design are aware of the promise of sustainability for both the environment and consumers. Sustainability reduces its environmental impacts of pollutants such as carbon footprints and unsold inventory, protecting workers who create garments, and animal welfare (Biela-Weyenberg, 2023) which can impact the supply chain. “The United Nations established the UN Alliance for Sustainable Fashion in 2019 to hold fashion brands to a higher standard to create environmentally friendly apparel” (2023, p.1). Through modern …

‘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.

Is The Gi Bill Enough? An Exploratory Analysis Of Student Veteran Borrowing In College, Kim E. Bullington, Kaycee L. Bills, David J. Thomas, William L. Nuckols, Joshua L. Howell

Educational Leadership & Workforce Development Faculty Publications

In the United States, many student veterans use their GI Bill benefits to help fund their postsecondary education; however, when the GI Bill is not enough, student veterans may turn to grants and loans to subsidize their financial needs. This study examines the degree and extent to which Pell Grants and student loans are being used by student veterans using data pulled from the National Center for Education Statistics’ Baccalaureate and Beyond dataset. We found that Pell Grant awards were higher for student veterans with disabilities as well as Blacks and that a student’s age contributed to the overall amount …

A Point Of Singularity For Technology And Engineering Education, Philip A. Reed

Educational Leadership & Workforce Development Faculty Publications

[First paragraph] I attended graduate school at Virginia Tech in the late 1990's and some of my fondest memories are from the side conversations with the faculty. The faculty at that time consisted of my mentor and program leader, Jim LaPorte, and other leaders in the field: Allen Bame, Sharon Brusic, Tom Jeffries, and Mark Sanders. Bill Dugger had recently retired from the university but maintained an office in Blacksburg to work full time on the Technology for All Americans Project (TfAAP, ITEEA, 2024) and he was very gracious about hosting students at the TfAAP office …

Estimating Soil Texture By Hand, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

Estimating or measuring soil texture provides valuable information about soil properties affecting crop and pasture growth. Soil texture affects the movement and availability of air, nutrients, and water in soil. A simple and quick measure of soil texture is the way a soil feels when manipulated by hand.

The department recommends laboratory testing of soil texture (and other factors) for all critical soil uses, including farm dam construction and claying.

Agricultural Groundcover Update December 2023, Justin Laycock

Natural resources published reports

Summary

• About 96% of the grainbelt had adequate vegetative groundcover (more than 50%) to prevent wind erosion in December 2023.
• In the northern half of the grainbelt, a larger-than-average area has 51–60% groundcover, which is expected to decrease to below 50% over the summer.
• Just under 4% of the grainbelt (553,000 ha) had less than 50% groundcover, which is inadequate to prevent wind erosion. West Midlands Ag Soil Zone had the highest risk of wind erosion and 11.4% of this farmland had inadequate groundcover.
• Less than 0.5% of the grainbelt had a high to very high risk of wind erosion …

Carbon Neutral By 2030 - Katanning Research Station, Department Of Primary Industries And Regional Development, Western Australia

Climate Science Published Reports

The Department of Primary Industries and Regional Development's (DPIRD) Katanning Research Station (KRS) is developing practical techniques and methods for mitigating carbon emissions from the livestock industry.

This research will help the livestock industry in Western Australia (WA) access anticipated future markets for carbon neutral food and fibre products.

Scales Of Connectivity Within Stream Temperature Networks Of The Clackamas River Basin, Oregon, Michael Krochta, Heejun Chang

Geography Faculty Publications and Presentations

Water quality varies along the stream network; thus, considering the directional, dendritic nature of stream networks with surrounding landscape variables is essential in explaining spatial variations of water quality. Using a spatially extensive stream temperature monitoring effort in the Clackamas River Basin in the United States, we first compare spatial scales of analysis of atmospheric, landscape, and in-stream explanatory variables through their correlation with summer stream temperatures. We then derive a predictive stream temperature model with factors representing the spatial variation of local climate, recent wildfire effects, and discharge. Finally, we compare nonspatial multiple linear regression to a spatial stream …

Risky Speech Systems: Tort Liability For Ai-Generated Illegal Speech, Margot E. Kaminski

Publications

No abstract provided.

The Minerals Challenge For Renewable Energy, Mark Squillace

Publications

One potential obstacle to a successful energy transition involves the critical minerals used in production of photovoltaic solar panels, wind turbines, electric vehicles, and batteries. A substantial portion of these will have to come from new and expanded mining operations around the world. But mining is controversial, in part due to the past failures of operators to protect communities and the environment. This Article considers how nations can responsibly identify, source, and process these minerals, and then deploy them in renewable energy products. Its scope is global, but U.S. laws and policies take center stage with a nod to the …