Digital Commons Network^™

Anti-Holistic Algorithms, Itay Ravid

Faculty Publications

This Article presents a critical tension in modern criminal justice between holistic criminal-justice aspirations and algorithmic governance: whether the holistic rehabilitation and reintegration project can survive technological determinism. As criminal legal systems embrace algorithmic risk- assessment tools as solutions to address recidivism, this Article reveals a profound epistemological concern: the fundamental incompatibility between viewing offenders as “whole persons” capable of transformation and reducing them to statistical probabilities within computational matrices. By doing so, it demonstrates how algorithmic mediation fundamentally alters—and potentially destroys—the holistic message itself.

In establishing this argument, the Article advances in two stages. It first identifies the development …

We Are Here Because Of Them: Co-Creating A Native Cemetery Memorial At Mission Santa Clara, Lee M. Panich, Amy J. Lueck, Lauren Baines, Isabella ‘Amne Gomez

Faculty Publications

Tens of thousands of Native individuals perished in California’s twenty-one Franciscan missions that operated from the 1760s into the 1840s, but most public interpretive programs gloss over their lives and the cemeteries where they are interred. This has historically been the case at Mission Santa Clara, on the campus of Santa Clara University. In this article, we reflect on the process of co-creating an interactive memorial designed to honor the Native people buried in two colonial-era cemeteries related to the mission and link their lives to the descendant community today. Importantly, the co-creation process helped strengthen relationships in numerous directions, …

Variation In Cycling Exercise Mechanical Efficiency In The Heritage Family Study, Angelo Tremblay, Claude Bouchard, Mark A. Sarzynski Facsm, James S. Skinner, Élisa Marin-Couture, Patrick Schrauwen, Guy Thibault, Marie-Eve Mathieu, Louis Pérusse

Faculty Publications

The objectives of the study were to assess the effects of cycling endurance exercise training and sex on cycling exercise mechanical efficiency (ME) and to explore its associations with body composition, glycemic profile, and skeletal muscle characteristics. Subjects were males (n = 371) and females (n = 465) of European (ED) and African descent (AD) of the HERITAGE Family Study. The measurements were repeated after a 20-week controlled endurance exercise program. A substudy involving 78 participants from 19 ED families was used to evaluate associations between skeletal muscle traits and variations in ME. An increase in ME of …

Recommendations From Multi-Disciplinary Professionals For Survivor-Informed And Comprehensive Care For Human Trafficking Survivors, Christina Tsoi, Timothy B. Smith, Elizabeth Cutrer-Párraga, Devan Clayton, Joshua M. Marshall, Jamila Mastny

Faculty Publications

Background: Human trafficking affects millions of people worldwide with multiple adverse outcomes including psychopathology. Although research on human trafficking has become abundant in other academic disciplines (e.g., public health, criminology, social work), healthcare research specific to the mental health treatment of survivors remains limited. Objective: The purpose of this study was to gather recommendations from professionals about mental health treatment of trafficking survivors. Method: Semi-structured interviews were conducted with 21 multidisciplinary professionals working with trafficking survivors. Data were analyzed using qualitative content analysis methodology. Results: An overarching theme derived from the data concerned the recommendation to implement trafficking survivor-informed care, …

Textualism Wins?: The Supreme Court’S 2024 Labor & Employment Law Cases, Nicole B. Porter

Faculty Publications

The Supreme Court decided five primary labor and employment law cases in 2024—two discrimination cases, two arbitration cases, and one labor law case. This article also discusses a sixth case, Loper Bright Enterprises v. Raimondo, because it will undoubtedly affect labor and employment law despite the facts and underlying issue having nothing to do with the workplace.

I was initially underwhelmed with this year’s cases. None of them addresses any major substantive labor and employment law issue. However, upon further consideration, the cases are noteworthy for three reasons. First, three of them are pro-plaintiff with outcomes that benefit workers— …

Pyrolysis Of Foliage From 24 U.S. Plant Species With Recommendations For Physics-Basedwildland Fire Models, Mahsa Alizadeh, Thomas H. Fletcher

Faculty Publications

Pyrolysis of 24 samples of foliage from three U.S. regions with frequent wildland fires (Southeastern U.S., northern Utah and Southern California) was studied in a fuel-rich flat-flame burner system at 765 ◦C (for Southeastern U.S. samples) and 725 ◦C (for northern Utah and Southern California species), with a heating rate of approximately 180 ◦C/s. These conditions were selected to mimic the conditions of wildland fires. Individual plant samples were introduced to the high temperature zone in a flat-flame burner and pyrolysis products were collected. Tar was extracted and later analyzed by GC/MS. Light gases were collected and analyzed by GC/TCD. …

Under-Marketing Women’S Sport: The Gendered Labor Of Value Co-Creation In U.S. Women’S Soccer, Tarlan Chahardovali Ph.D., Joshua I. Newman Ph.D.

Faculty Publications

Research Question: This study explores how professional women soccer players in the U.S. perceived the role of institutional actors in value co-creation during a pivotal period in the sport’s development. It examines the marketing responsibilities players were expected to undertake and how this labor shaped their experiences and self-perceptions. Research Methods: Guided by value co-creation and value realization frameworks, this study draws on semi-structured interviews with 22 current and former professional women soccer players. Data were analyzed in two stages: first cycle coding, followed by pattern coding to consolidate labor themes into constructs reflecting athletes’ experiences of institutional support, promotional …

Formalism In Jewish Law, Chaim Saiman

Faculty Publications

Scholars differ as to the degree to which Jewish law is formalistic. This chapter aims to make sense of the debate surrounding formalism in Jewish law by distinguishing between three types of legal formalism: classic formalism, modern formalism, and detail-following formalism. Viewed through the lens of modern formalism, Jewish law is likely less formalistic than commonly assumed as it is not primarily concerned with constraining decision makers. Nor is Jewish legal discourse typified by its unified conceptual schemas that proceed from abstract concepts to bottom-line decisions in the way that classical formalism proceeds. This chapter introduces an alternative framing termed …

Police–Public Trust: Toward A More Complete Perspective, Richard A. Wise, Roger C. Mayer, Scott M. Mourtgos

Faculty Publications

Most discussion of the police–public relationship focuses on the public’s lack of trust in police. Our research suggests that police trust in the public is another important factor in this relationship and that addressing trust concerns on both sides may improve it. We conducted two studies of police trust in the public. The results suggested that the more police trust the public, the more constructive risks they take in performing their jobs. Based on our results, we highlight the importance of reciprocity and attempting to simultaneously increase both police and public trust to improve their relationship. Measures developed for these …

Flow Structure And Mixing Near A Small River Plume Front: Winyah Bay, Sc, Usa, Christopher Papageorgiou, George Voulgaris, Alexander E. Yankovsky, Diane Bennett Fribance

Faculty Publications

This study presents Eulerian data from Winyah Bay, SC, USA collected during the passage of a tidal plume. The data captured the evolution and structure of the plume and include high-resolution velocity and temperature time series, supplemented by temperature – salinity profiles from a MicroCTD profiler. The observations identified a pre-existing plume extending to 4 m, with a water density of 1023.6 kg m⁻³, laying above denser ambient waters. Upon arrival, the newly discharged tidal plume introduced a fresher layer (1020.7 kg m⁻³) extending to 2.6 m, gradually thinning due to radial spreading. The plume's frontal …

Flow Structure And Mixing Near A Small River Plume Front: Winyah Bay, Sc, Usa, Christopher Papageorgiou, George Voulgaris, Alexander E. Yankovsky, Diane Bennett Fribance

Faculty Publications

This study presents Eulerian data from Winyah Bay, SC, USA collected during the passage of a tidal plume. The data captured the evolution and structure of the plume and include high-resolution velocity and temperature time series, supplemented by temperature – salinity profiles from a MicroCTD profiler. The observations identified a pre-existing plume extending to 4 m, with a water density of 1023.6 kg m⁻³, laying above denser ambient waters. Upon arrival, the newly discharged tidal plume introduced a fresher layer (1020.7 kg m⁻³) extending to 2.6 m, gradually thinning due to radial spreading. The plume's frontal …

Applying Machine Learning Methods To Laser Acceleration Of Protons: Synthetic Data For Exploring The High Repetition Rate Regime, John J. Felice, Ronak Desai, Nathaniel Tamminga, Joseph R. Smith, Alona Kryshchenko, Christopher M. Orban, Michael L. Dexter, Anil K. Patnaik

Faculty Publications

Advances in ultra‐intense laser technology have increased repetition rates and average power for chirped‐pulse laser systems, which offer a promising solution for many applications including energetic proton sources. An important challenge is the need to optimize and control the proton source by varying some of the many degrees of freedom inherent to the laser‐plasma interactions. Machine learning can play an important role in this task, as our work examines. Building on our earlier work in Desai et al. 2024, we generate a large ∼1.5 million data point synthetic data set for proton acceleration using a physics‐informed analytic model that we …

Teaching Machine Learning To Undergraduate Electrical Engineering Students, Gerald L. Fudge, Anika Rimu, William Zorn, July Ringle, Cody Barnet

Faculty Publications

Proficiency in machine learning (ML) and the associated computational math foundations have become critical skills for engineers. Required areas of proficiency include the ability to use available ML tools and the ability to develop new tools to solve engineering problems. Engineers also need to be proficient in using generative artificial intelligence (AI) tools in a variety of contexts, including as an aid to learning, research, writing, and code generation. Using these tools properly requires a solid understanding of the associated computational math foundation. Without this foundation, engineers will struggle with developing new tools and can easily misuse available ML/AI tools, …

Effect Of Practice On The Control Of Reach Extent, Faith N. Schroers, Troy M. Herter, Dylan Bruemmer, Takeo Ichiyanagi, Austin Herherington, Michael O'Dpnnell, Janelle Ozorowski, Chad Simmons, Jill Campbell Stewart Pt, Phd

Faculty Publications

The control of reaches to targets that vary in distance involves a combination of anticipatory planning and feedback-based adjustments. However, it is not known if their contributions to the control of reach extent change with repetitive practice. This study investigated the effect of three days of practice on the control of reach extent. Right-hand dominant participants reached with either the non-dominant left arm or dominant right arm to six targets presented in two directions and three distances in a virtual environment. The effect of practice on planning and feedback-based adjustments to control reach extent was examined by determining how well …

Online Cyber-Physical Neural Network Model For Real-Time Hybrid Simulation, Faisal Nissar Malik, Liang Cao, James Ricles, Austin Downey

Faculty Publications

Real-time hybrid simulation (RTHS) is an experimental testing methodology that divides a structural system into an analyticaland an experimental substructure. The analytical substructure is modeled numerically, and the experimental substructure ismodeled physically in the laboratory. The two substructures are kinematically linked together at their interface degrees of freedom,and the coupled equations of motion are solved in real-time to obtain the response of the complete system. A key challenge inapplying RTHS to large or complex structures is the limited availability of physical devices, which makes it difficult to representall required experimental components simultaneously. The present study addresses this challenge by introducing …

Interactions And Community Structure Of Fungi And Prokaryotes In Salt And Brackish Marsh Ecosystems, Madeleine A. Thompso, Xuefeng Peng

Faculty Publications

Microbial communities play a fundamental role in biogeochemical cycling within salt and brackish marsh ecosystems, yet fungal-prokaryotic interactions in these environments remain poorly understood. This study employed metabarcoding of the 16S and 28S rRNA genes to investigate prokaryotic and fungal communities across four locations in sediments and surface waters of the North Inlet salt marsh and Winyah Bay brackish marsh (South Carolina, USA) over four time points from 2020 to 2021. Co-occurrence network analyses were used to identify potential microbial interactions and their ecological implications. Distinct fungal and prokaryotic communities were observed between the two marsh types. From the 16S …

A New Low-Rate Stable Hydrogel Cathode For Aqueous Zn-Ion Batteries, Roya Rajabi, Shichen Sun, Jamil A. Khan, Morgan Stefik, Kevin Huang

Faculty Publications

Aqueous Zn-ion batteries (ZIBs) are attractive candidates for large-scale energy storage owing to the abundance, low cost, and intrinsic safety of Zn metal. However, their practical application is hindered by poor cycle stability, especially at low current densities, due to cathode dissolution and limited electrochemically active sites (EAS). Herein, a hydrogel-based cathode comprising ammonium vanadate, carbon black, and a Zn-ion-conducting carboxymethyl chitosan–acrylamide hydrogel matrix doped with Zn(ClO4)2 is reported. This design establishes a continuous Zn-ion-conducting network, thereby maximizing EAS density throughout the electrode volume. The ZIB with the hydrogel cathode exhibits outstanding cycling stability, with 77% capacity retention after 2000 …

Fuel Adulteration Detection Using Open-Ended Coaxial Line And Circular Waveguide Techniques, Abdulrahman Alofi, Ahmed Shamseldin, Sharif Iqbal M. Sheikh, Hussein Attia

Faculty Publications

Fuel adulteration, the practice of blending lower-quality substances like kerosene with gasoline, poses significant challenges for ensuring fuel quality and safety. This study investigates two electromagnetic-based methods for detecting such adulteration: the open-ended coaxial line method and the circular waveguide method. The results reveal that the open-ended coaxial line technique is particularly effective in detecting kerosene contamination, identifying levels as low as 10% by measuring changes in the dielectric constant of the gasoline-kerosene mixture. Operating in the frequency range of 0.25–1.25 GHz, this method captures subtle changes in permittivity. In contrast, the circular waveguide method evaluates contamination by monitoring shifts …

Deep Learning Based Contactless Fingerprint Identification, Mohammad Alsmirat, M. Moneb Khaled, Aghyad A.L. Sayadi

Faculty Publications

Biometric authentication systems, particularly contactless fingerprint methods, offer enhanced security and convenience across various domains like access control, law enforcement, and finance. Despite these advantages, contactless systems face significant challenges related to image quality, finger orientation, and environmental factors. To address this, our paper presents the first extensive deep learning-based study on contactless fingerprint recognition using a large dataset of 2,143 images from 175 individuals. Our proposed approach integrates state-of-the-art preprocessing techniques with deep learning models to boost identification performance. After studying various transfer learning models, we achieved a high accuracy of 93.5%. We also conducted two further studies on …

Joint Neutrino Oscillation Analysis From The T2k And Nova Experiments, S. Abubakar, M. A. Acero, B. Acharya, P. Adamson, N. Anfimov, A. Antoshkin, E. Arrieta-Diaz, L. Asquith, A. Aurisano, D. Azevedo, A. Back, N. Balashov, P. Baldi, A. Bambah, E. F. Barenboim, A. Bashyal, A. Basti, K. Bromberg, N. Buchanan, Roberto Petti

Faculty Publications

The landmark discovery that neutrinos have mass and can change type (or flavour) as they propagate—a process called neutrino oscillation^1,2,3,4,5,6—has opened up a rich array of theoretical and experimental questions being actively pursued today. Neutrino oscillation remains the most powerful experimental tool for addressing many of these questions, including whether neutrinos violate charge-parity (CP) symmetry, which has possible connections to the unexplained preponderance of matter over antimatter in the Universe^7,8,9,10,11. Oscillation measurements also probe the mass-squared differences between the different neutrino mass states (Δm²), whether there are two light states and a heavier …

University Students’ Condom Use During The Covid-19 Pandemic: Cross-Cultural Differences And What Predict Them, Liam Dacosta, James S. Morandini, Rebecca T. Pinkus, Elien De Caluwé, Lik Sam Chan, Olivine Lo, Saowanee Thongnopakun, Sawitree Visanuyothin, Cheryl Harasymchuk, Samantha Joel, Helen C. Harton, Alyssa Mccoy, Victoria Dale, David L. Rodrigues, Judit Takács, Alexandra Sipos, Veronica M. Lamarche, Racidon Bernarte, Viktorija Čepukienė, Ivana M. Jakšić, Bojana Bodroža, Huỳnh Hồng Mai, Tran Thi Hong, Grace Akello, Ivana Hromatko, Asha Ganesan, Jiawei Zhang, Damian Murray, James Moran, Juan Ramón Barrada, Ángel Castro, Claudia Navarro-Roldan, Kuan-Pin Su, Jane Chang, Matthew B. Ruby, Donya Ziadlou, Shin Nakamine, Yutaka Watanabe, Albert Lee, Richelle-Joy Chia, Ilan Dar-Nimrod

Faculty Publications

Humans instinctively adopt methods to reduce their risk of encountering harmful pathogens, yet their adherence to preventive health practices can often be erratic. Condoms exemplify one vital preventive tool against sexually transmitted infections (STIs) that, despite their effectiveness, are not consistently utilized. This pattern of behavior appears to persist even during periods of widespread disease transmission, with varied data from the COVID-19 pandemic indicating that condom usage remained inconsistent. The present study aimed to clarify these inconsistencies by examining changes in condom use cross-culturally. Heterosexual participants who were sexually active (N = 3,972 [1,327 men, 2,645 women], Mage= 22.82) across …

Vertical Sorting Of Bed Material In Gravel-Bed Streams-- Insights From Long-Term Observations In East Creek, British Columbia, Marwan A. Hassan, Tianqi Xing, Conor Mcdowell, Kevin J. Pierce, Mike Turley, Sol Leader-Cole, Enrica Viparelli

Faculty Publications

The vertical sorting of streambed grains is a key control on river channel stability and sediment transport rates. In this study, we report on burial depths and mobility characteristics of coarse sediment in a small gravel-bed stream using an extensive data set of nearly 1,500 magnetically tagged tracer grains, deployed and annually surveyed between 2004 and 2018. We observe that sediment burial correlates with grain size and event magnitude, and we identify correlations between the burial depths of coarse grains and their mobility, residence time, and travel distance characteristics. A particularly large event in 2007 produced significant vertical sorting which …

Prioritizing Data Quality In Machine Learning For Thermophysical Property Prediction: A Case Study On Normal Boiling Points Of Organic Compounds, Frank T. Mtetwa, Neil F. Giles, W. Vincent Wilding, Thomas A. Knotts Iv

Faculty Publications

Accurate prediction of the normal boiling point (NBP) of organic compounds is essential for the design and optimization of chemical processes. This is especially true for modern practice since experimental measurements of many compounds of contemporary importance are difficult to perform due to cost, purity, and stability issues. Traditional methods, such as group contribution (GC) and quantitative structure–property relationship (QSPR) approaches, are limited by inflexibility and diminishing accuracy in these situations. Machine learning (ML) approaches have shown promise but are plagued by two weaknesses for the nonspecialist: ease of use (especially compared to GC and QSPR) and proven accuracy for …

Intrinsic Defects (Vacancies And Antisites) In Neutron Irradiated Cdsip2 Crystals, Timothy D. Gustafson, Elizabeth M. Scherrer, Nancy C. Giles, Kevin T. Zawilski, Peter G. Schunemann, Jonathan E. Slagle, Kent L. Averett, Larry E. Halliburton

Faculty Publications

Cadmium silicon phosphide (CdSiP₂) is a nonlinear optical material widely used in optical parametric oscillators. Intrinsic defects (vacancies and antisites) are responsible for unwanted broad optical absorption bands in these crystals that degrade the performance of the devices. In the present work, optical absorption and electron paramagnetic resonance (EPR) spectra are acquired (at room temperature and 12 K, respectively) from a neutron-irradiated CdSiP₂ crystal. After the irradiation, the crystal is highly absorbing from the band edge near 600 nm to beyond 1.3 μm because of overlapping defect-related absorption bands. Heating to 550 °C removes nearly all the …

A Comprehensive Assessment And Benchmark Studyof Large Atomistic Foundation Models For Phonons, Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al-Fahdi, Lingyu Kong, Victor Fung, Ming Hu

Faculty Publications

The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces. While their capability for modeling phonon properties is emerging, systematic benchmarking across chemically diverse systems remains limited. We evaluate six recent uMLPs—EquiformerV2, MatterSim, MACE, and CHGNet—on 2429 crystalline materials from the Open Quantum Materials Database. Models were used to compute atomic forces in displaced supercells, derive interatomic force constants (IFCs), and predict phonon properties including lattice thermal conductivity (LTC), compared with density functional theory and experimental data. The EquiformerV2 pretrained model trained on the OMat24 dataset exhibits strong …

College For All And The Postsecondary Experiences Of Rural First-Generation College Students: Patterns Of Alignment With A Predominant Master Narrative, Andrew D. Coppens, Sarah Jusseaume, Jayson O. Seaman, Cindy L. Hartman, Erin H. Sharp

Faculty Publications

The aim of this study was to understand the experiences of rural, first-generation college (RFGC) students in relation to dominant culturally normative expectations about postsecondary educational and workforce trajectories. The study adopted patterns of engagement with a master narrative as both a conceptual framework and unit of analysis, examining both biography and cultural ecologies as well as highlighting agency in the lives and choices of study participants. Evidence is drawn from 4 in-depth narrative interviews with each of 14 RFGC students, conducted both at school and students’ homes, from rural and small-town communities. Results show that a master narrative of …

Using Serial Open Circuit Potentiometry To Study Ce And Gd Deposition In Molten Licl-Kcl Eutectic, Ranon G. Fuller, Guy L. Fredrickson, Devin Rappleye

Faculty Publications

The ability to electrochemically separate individual species in a pyrochemical reprocessing salt relies on first being able to detect a separation in their reaction potentials. This requires the ability to measure reaction potentials with extreme precision. In this work, we introduce a novel technique called serial open circuit potentiometry (SOCP) and demonstrate its effectiveness at precisely measuring metal deposition reaction potentials. SOCP has several advantages over traditional open circuit potentiometry, including its abilities to quantify the error of measured equilibrium potentials by averaging many individual OCP measurements, determine overpotential deposition nucleation potentials to instrument precision, and simultaneously determine the nucleation …

Social Determinants Of Self-Reported Health In Vulnerable Populations During A Polycrisis In Lebanon, Rindala Fayyad, Marie Elizabeth Ragi, Hala Ghattas Ph.D., Stephen J. Mccall

Faculty Publications

Importance: In the context of a polycrisis, which is characterized by multiple interconnected and mutually reinforcing crises, humanitarian and health needs increase. It is therefore crucial to identify social determinants impacting health and well-being of vulnerable populations to better inform appropriate interventions.

Objective: To assess the association between social determinants and pain frequency, self-rated health, and depression over time among vulnerable populations during a polycrisis in Lebanon.

Design, Setting, and Participants: In this population-based longitudinal cohort study, data were collected in Sin-El-Fil, a suburb of Beirut, Lebanon, in 4 waves: June 28 to October 26, 2022; September 8 to December …

Disparities In Street Harassment Exposure And Mental Health Consequences: Elevated Risk For Marginalized Women, Sophia Shaiman, Kaitlin M. Boyle

Faculty Publications

Street harassment is a widespread harm that disproportionately affects women. While research suggests links between racial inequality, street harassment, and mental health outcomes, it is less understood how the severity of harassment experienced is shaped by their demographic characteristics, and how the severity of the harassment shapes mental health outcomes. Thus, we ask two questions. First, which demographic characteristics are associated with a greater risk of “complementary” and “hostile” forms of street harassment? Second, are complementary and hostile forms of street harassment both associated with higher levels of negative emotion, psychological distress, and post-traumatic maladaptive beliefs? To answer these questions, …

Pathlength, Altitude And Angle Of Incidence Dependence Of Remote Water Raman Scattering, Whitney E. Schuler, Paige K. Williams, Zechariah B. Kitzhaber, Caitlyn M. English, Tammi L. Richardson, Nikos Vitzilaios, Michael L. Myrick

Faculty Publications

A small remote Raman sensor was used to measure the Raman scattering signal from clear, still water as a function of water depth (12 cm and 396 cm depth), sensor distance above the water surface (20–300 cm), and angle of incidence (0–80°) to the normal of the water surface. Under thick- and thin-sample conditions, the signal depends on either the inverse, or the inverse square, of sensor distance from the water surface, respectively. A model is derived that fits data for different sensor distances, water depths, and angles of incidence. Fits to the measured data are consistent with the known …