Digital Commons Network^™

A-Disetrac Advanced Analytic Dashboard For Distributed Eye Tracking, Yasasi Abeysinghe, Bhanuka Mahanama, Gavindya Jayawardena, Yasith Jayawardena, Mohan Sunkara, Andrew T. Duchowski, Vikas Ashok, Sampath Jayarathna

Computer Science Faculty Publications

Understanding how individuals focus and perform visual searches during collaborative tasks can help improve user engagement. Eye tracking measures provide informative cues for such understanding. This article presents A-DisETrac, an advanced analytic dashboard for distributed eye tracking. It uses off-the-shelf eye trackers to monitor multiple users in parallel, compute both traditional and advanced gaze measures in real-time, and display them on an interactive dashboard. Using two pilot studies, the system was evaluated in terms of user experience and utility, and compared with existing work. Moreover, the system was used to study how advanced gaze measures such as ambient-focal coefficient K …

Autonomous Strike Uavs In Support Of Homeland Security Missions: Challenges And Preliminary Solutions, Meshari Aljohani, Ravi Mukkamala, Stephan Olariu

Computer Science Faculty Publications

Unmanned Aerial Vehicles (UAVs) are becoming crucial tools in modern homeland security applications, primarily because of their cost-effectiveness, risk reduction, and ability to perform a wider range of activities. This study focuses on the use of autonomous UAVs to conduct, as part of homeland security applications, strike missions against high-value terrorist targets. Owing to developments in ledger technology, smart contracts, and machine learning, activities formerly carried out by professionals or remotely flown UAVs are now feasible. Our study provides the first in-depth analysis of the challenges and preliminary solutions for the successful implementation of an autonomous UAV mission. Specifically, we …

Charged Track Reconstruction With Artificial Intelligence For Clas12, Gagik Gavalian, Polykarpos Thomadakis, Angelos Angelopoulos, Nikos Chrisochoides

Computer Science Faculty Publications

In this paper, we present the results of charged particle track reconstruction in CLAS12 using artificial intelligence. In our approach, we use neural networks working together to identify tracks based on the raw signals in the Drift Chambers. A Convolutional Auto-Encoder is used to de-noise raw data by removing the hits that do not satisfy the patterns for tracks, and second Multi-Layer Perceptron is used to identify tracks from combinations of clusters in the drift chambers. Our method increases the tracking efficiency by 50% for multi-particle final states already conducted experiments. The de-noising results indicate that future experiments can run …

Can Large Language Models Discern Evidence For Scientific Hypotheses? Case Studies In The Social Sciences, Sai Koneru, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Hypothesis formulation and testing are central to empirical research. A strong hypothesis is a best guess based on existing evidence and informed by a comprehensive view of relevant literature. However, with exponential increase in the number of scientific articles published annually, manual aggregation and synthesis of evidence related to a given hypothesis is a challenge. Our work explores the ability of current large language models (LLMs) to discern evidence in support or refute of specific hypotheses based on the text of scientific abstracts. We share a novel dataset for the task of scientific hypothesis evidencing using community-driven annotations of studies …

Hite: A Fast And Accurate Dynamic Boundary Adjustment Approach For Full-Length Transposable Element Detection And Annotation, Kang Hu, Peng Ning, Minghua Xu, You Zou, Jianye Chang, Xin Gao, Yaohang Li, Jue Ruan, Bin Hu, Jianxin Wang

Computer Science Faculty Publications

Recent advancements in genome assembly have greatly improved the prospects for comprehensive annotation of Transposable Elements (TEs). However, existing methods for TE annotation using genome assemblies suffer from limited accuracy and robustness, requiring extensive manual editing. In addition, the currently available gold-standard TE databases are not comprehensive, even for extensively studied species, highlighting the critical need for an automated TE detection method to supplement existing repositories. In this study, we introduce HiTE, a fast and accurate dynamic boundary adjustment approach designed to detect full-length TEs. The experimental results demonstrate that HiTE outperforms RepeatModeler2, the state-of-the-art tool, across various species. Furthermore, …

Archiving Digital Marketing: Examining Preservation Of Dynamic Content On The Web Through The Lens Of Online Advertisements, Christopher Rauch, Alex H. Poole, Travis Reid, Michele C. Weigle, Michael L. Nelson, Faryaneh Poursardar, Mat Kelly

Computer Science Faculty Publications

The transition to digital marketing has revolutionized advertising, reflecting and shaping societal norms and trends. The “Saving Ads” project addresses the challenges of preserving these ephemeral digital artifacts, essential for understanding the evolution of advertising and its socio-cultural impact. The initiative focuses on technical solutions for archiving dynamic online ads and enhancing access to these critical resources for future scholarship. By examining the preservation of online advertisements and suggesting improved approaches for archiving dynamic online content, this project contributes to the documentation of digital history.

The Combined Focal Loss And Dice Loss Function Improves The Segmentation Of Beta-Sheets In Medium-Resolution Cryo-Electron-Microscopy Density Maps, Yongcheng Mu, Thu Nguyen, Bryan Hawickhorst, Willy Wriggers, Jiangwen Sun, Jing He

Computer Science Faculty Publications

Although multiple neural networks have been proposed for detecting secondary structures from medium-resolution (5–10 Å) cryo-electron microscopy (cryo-EM) maps, the loss functions used in the existing deep learning networks are primarily based on cross-entropy loss, which is known to be sensitive to class imbalances. To monitor and tune the performance of various loss functions for the secondary structure detection problem, we investigated five loss functions: cross-entropy, Focal loss, Dice loss, and two combined loss functions. Using a U-Net architecture in our DeepSSETracer method and a dataset composed of 1,355 box-cropped atomic-structure/density-map pairs, we found that a newly designed loss function …

Exacfs - A Cil Method To Mitigate Catastrophic Forgetting, S. Balasubramanian, Sai Subramaniam M., Sai Sriram Talasu, Manepalli Pranav Phanindra Sai, Yedu P. Krishna, Darshan Gera, Ravi Mukkamala

Computer Science Faculty Publications

Deep neural networks (DNNs) excel at learning from static datasets but struggle with continual learning, where data arrives sequentially. Catastrophic forgetting, the phenomenon of forgetting previously learned knowledge, is a primary challenge. This paper introduces EXponentially Averaged Class-wise Feature Significance (EXACFS) to mitigate this issue in the class incremental learning (CIL) setting. By estimating the significance of model features for each learned class using loss gradients, gradually aging the significance through the incremental tasks and preserving the significant features through a distillation loss, EXACFS effectively balances remembering old knowledge (stability) and learning new knowledge (plasticity). Extensive experiments on CIFAR-100 and …

Abortion And The Extremism Of Bright Line Rules, Teneille R. Brown

Utah Law Faculty Scholarship

Rather than eliding the workability or necessity of bright-line rules in certain domains, this Essay is a rallying cry for epistemic humility regarding what biological criteria can and cannot say. Policymakers sometimes lean on the biosciences to offer “objective” solutions to thorny
moral and legal issues. But descriptive biological data cannot answer normative questions on their own. Cloaking the theoretical, normative scaffolding in biological criteria is a disingenuous but common phenomenon I refer to as the “bio-legal mismatch.”

In this Essay, I discuss various abortion-restrictive statutes and cases to elucidate the problems with the bio-legal mismatch. Specifically, I explore the …

Justifying Aggression: Russia's 2020 Constitutional Amendments And The Invasion Of Ukraine, Robert C. Blitt

Vanderbilt Journal of Transnational Law

Beyond the alluring promise of an enhanced social safety net for Russian citizens, President Vladimir Putin's constitutional amendments of 2020 betrayed a distinct preoccupation with fortifying Russia's international standing and crafting a new national identity. By Putin's own account, these amendments were necessary to steel the country against the malevolent action of international conspirators committed to Russia's downfall. As this Article posits, these specific constitutional changes systematically entrenched an exceptionalist vision of Russian sovereignty and a civilizational identity that left the country constitutionally untethered from international norms and institutions, saturated in religious fervor and visions of imperial glory, and poised …

Earthquake-Induced Inelastic Displacement Ratio In Reinforced Concrete Box Girder Bridges In California, Bigya Gyawali

Civil and Environmental Engineering

In conventionally designed bridges, the inelastic displacement is estimated using an amplification factor (R_d) suggested by AASHTO which was developed based on Single-Degree-of-Freedom system. This study models the nonlinear behavior in different components of bridge and presents an equation of inelastic displacement ratio, C_μ, that can better predict the inelastic displacement. While AASHTO R_d closely matches C_μ corresponding to average response of different earthquakes, it does not give a reliable estimation for a wide range of earthquakes. Two equations are developed based on mean + standard deviation (SD) and mean + 3×SD to incorporate the variability in C_μ due to …

Investigating The Role Of Becn2 Ccd Interactions In Canonical And Non-Canonical Autophagy, Elizabeth Bueno

Chemistry and Biochemistry

Autophagy is a conserved cell-survival pathway wherein old, damaged or harmful cellular components are surrounded by a double membrane vesicle called the autophagosome for lysosomal degradation and recycling. All eukaryotes have a conserved BECN homolog, a key coiled-coil domain (CCD)-containing autophagy protein. Mammals are unique as they have two BECN homologs, BECN1 and BECN2, both of which have the same domain architecture and function in autophagy. BECN2 has been shown to also function in non-canonical autophagy. My research focused primarily on investigating selected interactions of the BECN2 CCD. We investigated interactions of the BECN2 CCD with two CCD-containing proteins known …

Organizational Identity Management Policies, Alexander Rieger, Tamara Roth, Johannes Sedlmeir, Gilbert Fridgen, Amber Young

Information Systems Faculty Publications and Presentations

Effective identity management is essential for secure organizational processes, but organizations often do not approach it strategically. To break this trajectory, organizational policymakers need to define a clear and sustainable identity management strategy. This paper presents an overview and guidelines to help shape such strategy. It analyzes the key characteristics and trade-offs of today’s identity management models. Moreover, it offers practical recommendations for organizational policymakers when choosing among these models.

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

Faculty Scholarship

The United States has a long history of devastating immigration enforcement and surveillance. Today, in addition to more than 34,000 people held in immigration detention, Immigration and Customs Enforcement (“ICE”) surveils an astounding 296,000 people under its “Alternatives to Detention” program. The number of people subjected to this surveillance has grown dramatically in the last two decades, from just 1,339 in 2005. ICE’s rapidly expanding Alternatives to Detention program is marked by “digital cages,” consisting of GPS-outfitted ankle shackles and invasive phone and location tracking. Government officials and some immigrant advocates have categorized these digital cages as a humane “reform”; …

Revisioning Algorithms As A Black Feminist Project, Ngozi Okidegbe

Faculty Scholarship

We live in an age of predictive algorithms.¹ Jurisdictions across the country are utilizing algorithms to make or influence life-altering decisions in a host of governmental decision-making processes—criminal justice, education, and social assistance to name a few.² One justification given for this algorithmic turn concerns redressing historical and current inequalities within governmental decision-making.³ The hope is that the predictions produced by these predictive systems can correct this problem by providing decision-makers with the information needed to make fairer, more accurate, and consistent decisions.⁴ For instance, jurisdictions claim that their turn to risk assessment algorithms in bail, …

Loper Bright And The Future Of Chevron Deference, Jack M. Beermann

Faculty Scholarship

The question presented in Loper Bright Industries v. Raimondo¹ is “[w]hether the Court should overrule Chevron or at least clarify that statutory silence concerning controversial powers expressly but narrowly granted elsewhere in the statute does not constitute an ambiguity requiring deference to the agency.” The Court denied certiorari on another question focused on the merits of the case,² indicating that at least four of the Justices are anxious to revisit or at least clarify Chevron. It’s about time, although it’s far from certain that the Court will actually follow through with the promise the certiorari grant indicates.^{3 …}

Trial Selection And Estimating Damages Equations, Keith N. Hylton

Faculty Scholarship

Many studies have employed regression analysis with data drawn from court opinions. For example, an analyst might use regression analysis to determine the factors that explain the size of damages awards or the factors that determine the probability that the plaintiff will prevail at trial or on appeal. However, the full potential of multiple regression analysis in legal research has not been realized, largely because of the sample selection problem. We propose a method for controlling for sample selection bias using data from court opinions.

Human Rights In Hospitals: An End To Routine Shackling, Neil Singh Bedi, Nisha Mathur, Judy D. Wang, Avital Rech, Nancy Gaden, George J. Annas, Sondra S. Crosby

Faculty Scholarship

Medical students (NSB, NM, JDW) spearheaded revision of the policy and clinical practice for shackling incarcerated patients at Boston Medical Center (BMC), the largest safety net hospital in New England. In American hospitals, routine shackling of incarcerated patients with metal restraints is widespread—except for perinatal patients—regardless of consciousness, mobility, illness severity, or age. The modified policy includes individualized assessments and allows incarcerated patients to be unshackled if they meet defined criteria. The students also formed the Stop Shackling Patients Coalition (SSP Coalition) of clinicians, public health practitioners, human rights advocates, and community members determined to humanize the inpatient treatment of …

Cuing Safety In The Law School Classroom: Using A Polyvagal Theory Framework In Support Of Trauma-Informed Teaching Practices, Gigi Walker, Brian Flaherty

Faculty Scholarship

The past few decades have seen a welcomed focus on “Trauma-informed education.” This focus is often traced back to the 1997 Adverse Childhood Experiences study, which identified many significant negative outcomes that resulted from childhood trauma.¹ While the original study focused on outcomes such as chronic health problems, incarceration, and employment challenges, later researchers focused on the negative impacts on education and learning as a result of trauma.² Educators continue to work with this research trying to figure out how to be more “trauma-informed,” and to better reach those students whose lives and learning capacity have been affected …

How Bad Is Bad Enough?: Gatekeeping A Tenant's Right To 100% Habitable Housing, Sean Ahern

Faculty Scholarship

Tenants seeking to defend against eviction and to correct substandard conditions in their homes are hamstrung. Even in jurisdictions with “progressive housing policies,” there are steep doctrinal hurdles placed in front of tenants who try to establish a breach of the warranty of habitability and to defend against eviction. Such obstacles are baked directly into the judicial system and the standards that the judiciary applies in practice. While there are many systemic barriers to tenants vindicating themselves of the right to a fully habitable home, the most perniciously overlooked offender is a “substantiality” standard which trial court judges use to …

Kafka In The Age Of Ai And The Futility Of Privacy As Control, Daniel Solove, Woodrow Hartzog

Faculty Scholarship

Despite writing more than a century ago, Franz Kafka captured the core problem of digital technologies—how individuals are rendered powerless and vulnerable. Over the past fifty years, and especially in the twenty-first century, privacy laws have been sprouting up around the world. These laws are often based heavily on an Individual Control Model that aims to empower individuals with rights to help them control the collection, use, and disclosure of their data.

In this Article, we argue that although Kafka starkly shows us the plight of the disempowered individual, his work also paradoxically suggests that empowering the individual isn’t the …

Moving Beyond Statements And Good Intentions In U.S. Law Schools, Angela Onwuachi-Willig

Faculty Scholarship

This Article seeks to answer these questions about how law school leaders might help to cultivate antiracist cultures within their law schools, among their students, and across the legal profession, even in the face of a growing national backlash against antiracism, diversity, equity, and inclusion.³² Part I first establishes why it is important for law schools to "provide [an] education to law students on bias, cross-cultural competency, and racism," as the American Bar Association (ABA) requires, and to train future lawyers who have the abilities to combat racism. ³³ In so doing, Part I defines key terms such as …

Criminal Law's Hidden Consensus, Steven Arrigg Koh

Faculty Scholarship

American criminal law is facing a crisis of meaning. On one hand, the “traditional school” invokes the archetype of the violent criminal—a murderer, rapist, or thief—who must be prosecuted and punished. On the other hand, the “critical school” invokes the archetype of the low-level drug offender, sentenced to a draconian prison term for mere possession of low levels of marijuana. On this account, the criminal legal system is itself systemically pathological, perhaps even warranting abolition. Like ships passing in the night, the two schools appear irreconcilable. This Article helps break this impasse and builds toward a justification for criminal law …

The Chicago School’S Coasean Incoherence, Madison Condon

Faculty Scholarship

This comment traces the divergent legal academic interpretations of the Chicago School's Ronald Coase and where their influence lands--revealing the law’s inconsistent conception of just what a corporation is or should be. By following Alyssa Battistoni's investigation of the origin of the "externality," we can see the late 60s and early 1970s as a pivotal era. People were waking up to the collective costs of industrialization and pushing back against corporate power. Against this democratic wave, the writings of the Chicago School worked to separate one human person into her different roles in the economy—consumer, worker, shareholder. They used the …

The War On Higher Education, Athena Mutua, Jonathan Feingold, Angela Harris, Emily Houh, Matthew Patrick Shaw, Frank Valdes

Faculty Scholarship

Academic freedom is under assault in the United States.¹ Like the authoritarian populism rising across the globe, domestic attacks on individual professors and academic institutions buttress a broader and multifaceted campaign to undermine multiracial democracy and the institutions that sustain and safeguard it.² The individuals and entities driving this antidemocratic movement have also targeted the electoral process; public education; the right to bodily autonomy; the civil rights and liberties of minoritized and marginalized communities; and freedom of speech and expression (increasingly marshaled against pro-Palestinian advocacy).³ Their openly stated goal is to delegitimize, defund, and “lay siege to” …

A Reasonable And Well-Reasoned Teaching Tool In Unreasonable Times, Jasmine Gonzales Rose

Faculty Scholarship

Devon Carbado’s most recent book, Unreasonable: Black Lives, Police Power, and the Fourth Amendment, is a must-read for anyone studying or concerned with criminal procedure or policing. Unlike some of Professor Carbado’s other work, the brilliance of this book is not necessarily new conceptualizations or theorizations—for which he is well known—but rather centers on accessible pedagogy. If you have studied race and policing, you are not likely to find a new case, study, or reference to scholarship in the book. But, you are going to understand anti-Black racism, policing, the Fourth Amendment, and their intersections better than you did …

Constitutionalizing Racism, Jonathan Feingold

Faculty Scholarship

Unreasonable is Devon Carbado at his best. Through accessible prose, carefully crafted hypotheticals, effective visualizations, and some cross-examination (for the reader), Carbado reintroduces us to the Fourth Amendment. In arresting detail, Unreasonable" exposes how the Supreme Court has turned the Fourth Amendment against “the people”—and specifically, against people racialized as Black. Part of the “Bill of Rights,” the Fourth Amendment was adopted to protect “the right of the people” from police overreach. Yet over the past half-century, the Supreme Court has systematically repositioned the Fourth Amendment as a weapon of police power. Or as Carbado argues: whereas many assume …

Dci Submission To The Brazil Ministry Of Economy On The Economic And Competitive Aspects Of Digital Platforms, Pinar Akman, Stephen Dnes, Keith N. Hylton, Bowman Heiden, Constance Hiatt, Nicolas Petit, Jennifer Pullen, Annika Stohr

Faculty Scholarship

In its comments on the ‘Economic and Competitive Aspects of Digital Platforms’ for the Brazil Ministry of Economy, the Dynamic Competition Initiative (DCI) suggests that law and policy initiatives towards digital platforms should (1) focus on curbing monopoly rents in bottleneck markets, and not undermine diversification efforts towards technological frontiers; (2) leverage the capability and flexibility of existing competition rules to address digital platforms anticompetitive conduct; and (3) properly credit the consumer welfare gains stemming from digital platforms ecosystems given the domestic economic context.

Prosecutorial Data Transparency And Data Justice, Caitlin Glass, Kat Albrecht, Perry Moriearty

Faculty Scholarship

The U.S. criminal legal system is notoriously racialized. Though Black and Latinx people make up less than 30% of U.S. residents, they constitute more than 50% of the nearly two million people currently in U.S. prisons and jails. For decades, research has indicated that one group of decision-makers has had an outsized influence on these numbers: prosecutors. From whom to charge to what sentences to recommend, no actor plays a greater role in determining who goes to prison in this country. Highly subjective and lacking in formal guidance and accountability, prosecutorial decisions are especially vulnerable to racial bias. They are …

Innovative Approaches To On-Demand Continuing Legal Education Ethics Training: A Case Study, Tigran W. Eldred, Molly J. Walker Wilson

Faculty Scholarship

In the ongoing discussions about continuing legal education (CLE), concerns have been raised about the quality of programming that is created and delivered. Critics have emphasized the weaknesses in mandatory programs, arguing that requiring annual training on topics such as legal ethics tends to fall short of stated goals.¹ Too often, it is said, such programs fail to deliver content in an engaging manner that is likely to improve competence.² The picture conjured up is of the bored lawyer, sitting in the back of a room flipping through a newspaper or some other distraction, as CLE instructors passively …