Digital Commons Network^™

Mineral-Associated Organic Nitrogen Pool Size, Composition, And Accessibility Mediated By Agricultural Management And Soil Geochemical Characteristics, Gabriella M. Griffen, Andrew H. Whitaker, Emma L. Bergh, Marian Carrell, Erik Knatvold, Aniko Konya, A. Stuart Grandy, Andrea Jilling Ph.D., Marco Keiluweit, Rachel Hestrin

Faculty Publications

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Mineral-associated organic matter (MAOM) contains a substantial portion of soil nitrogen (N). MAOM-N could serve as an important N source for crops, but its availability and response to agricultural management across different soil types remains largely unknown. We characterized MAOM-N isolated from nine paired soils spanning a range of geochemical characteristics and maintained under two land uses—more intensively managed annual cropping systems or less intensively managed grasslands. On average, we found that MAOM contained approximately two-thirds of total soil N. Across all soil types, more intensive agricultural management resulted in a 50% decline in MAOM-N stocks, as well as a …

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Factors Influencing Senior Practicum Readiness For Nursing Practice: A Descriptive Correlational Study, Beth Nease Phd, Dnp, Rn, Ne-Bc, Cynthia F. Corbett Phd, Rn, Faan, Stephanie Armstrong Phd, Msn, Rn, Kesheng Wang Phd, Ma, Bs, Kathy Casey, Kong Chen

Faculty Publications

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Background:

This study investigated the influence of belongingness, self-efficacy, and clinical learning support on readiness for nursing practice and explored the role of demographic factors and nursing program differences.

Method:

A quantitative, descriptive approach was used to explore undergraduate prelicensure senior nursing students' perceptions across the United States.

Results:

Descriptive statistics, Pearson correlation, and multiple linear regression demonstrated students in traditional Bachelor of Science in Nursing programs reported significantly higher scores across all domains compared with those in associate degree programs (p < .01). Similarly, students in programs with ≤400 clinical hours and those assigned only one preceptor scored significantly higher on all measures (p < .01 and p < .05, respectively). Regression analysis indicated self-efficacy and learning support explained 47.9% of the variance in practice readiness (p < .05).

Conclusion:

These findings share how clinical experiences shape students' readiness for nursing practice. Recommendations …

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When Money Moves In: The Consequences Of Housing Wealth, Darren Aiello, Jason Kotter, Gregor Schubert

Faculty Publications

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We construct a novel dataset of millions of household moves over 25 years to examine how housing wealth affects purchase decisions. We find that a $1 exogenous increase in housing equity leads movers to pay a $0.06 premium on their next home, controlling for property characteristics and time-varying local prices. This behavior is driven by search frictions— wealthier households pay a premium rather than incur additional search costs. In aggregate, these decisions spill over to the broader housing market and cause upward regional price pressure. A 10% increase in equity gain among incoming movers increases local house price growth by …

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Participation, Danielle M. Pillet-Shore

Faculty Publications

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What does it take to participate in direct, naturally occurring social interaction? Conversation analytic (CA) studies reveal that “participation”—who participates, when, and how—is dynamic and locally, multimodally achieved by the people involved. Particularly in social situations when people are concurrently accessible to one another’s naked senses (Goffman, 1964), co-participation is enabled and performed through embodied and vocal resources including talk, gaze, facial displays, body orientation/posture, proximity, and gestures (e.g., M. H. Goodwin, 1999; C. Goodwin & M. H. Goodwin, 2005; Pillet-Shore, 2010; Sidnell, 2009). Using a multimodal CA lens, this chapter illuminates how “participation” is achieved in real-time, naturally occurring …

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Developer Perspectives On Licensing And Copyright Issues Arising From Generative Ai For Software Development, Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Laura A. Heymann, Massimiliano Di Penta, Daniel M. German, Denys Poshyvanyk

Faculty Publications

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Despite the utility that Generative AI (GenAI) tools provide for tasks such as writing code, the use of these tools raises important legal questions and potential risks, particularly those associated with copyright law. As lawmakers and regulators respond to these questions, the views of users can offer relevant perspectives. In this article, we provide: (1) a survey of 574 developers on the licensing and copyright aspects of GenAI for coding, as well as follow-up interviews; (2) a snapshot of developers’ views at a time when GenAI and perceptions of it were rapidly evolving; and (3) an analysis of developers’ perspectives, …

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The Specter Of Jury Nullification, Anna Offit

Faculty Publications

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Attention to the trial of Luigi Mangione has renewed debate about nullification—the jury’s inviolate power to acquit a defendant contrary to the evidence presented. Jury nullification proponents hold that it is a mechanism of last resort for refusing to apply laws that conflict with the public conscience. Opponents, by contrast, argue that nullification undermines the law by diminishing its legitimacy. To prosecutors and defense attorneys, however, these arguments are immaterial: Jury nullification is part of the institutional landscape of the contemporary jury trial and thus must be treated as a potentiality—a feature of the agnostic, strategic, and ethical terrain of …

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The Police Archipelago: Decentralization, Police Violence, Over-Punishment, And Crime, José F. Girón

Faculty Publications

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A strong consensus has taken hold in the legal academy. Criminal Justice Localism, espoused by scholars of every stripe, promotes greater local control of every facet of the criminal justice system. But Criminal Justice Localism largely overlooks an institution that plays a critical role in the criminal justice system, and which has been the subject of intense public criticism: the police. That oversight is remarkable for two reasons. First, calls for increased local control of the police seem to ignore that America operates one of the most—if not the most—decentralized policing models in the world, with its thousands of local, …

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Government Religious Speech And The Establishment Clause, Mark Storslee, Michael Helfand

Faculty Publications

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The government says religious things. From monuments and holiday displays to legislative prayers, religion saturates the government’s public voice. But how can that be permissible when the Establishment Clause, at least in theory, indicates the government should be religiously neutral?

So far, the Supreme Court’s attempts to address the puzzle have come up short. Early on, the Court suggested that seemingly all government speech must be secular, or that it refrain from “endorsing” religion. But the Court never consistently enforced those limits, struggling to reconcile them with America’s historical experience. And in recent years, the Court has rejected those approaches …

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Excellence In Onboarding: A Case Study Of Campus Leader Support For Early-Career Teachers, Kelsey Bowles, Peter E. Williams, Alicia Piechowiak

Faculty Publications

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Purpose: It is critical in industries experiencing labor shortages and high attrition rates, as is the case for early-career teachers (ECTs) in Texas, to understand effective early-career supports and how they contribute to career persistence and effectiveness. This study examines the context-specific onboarding experiences of ECTs and the leadership practices they found valuable.

Design/Methodology: This qualitative, collective case study used a positive deviance approach to examine teacher onboarding experiences. Located in a high-needs, urban public-school campus with atypically low teacher turnover and high student academic achievement. We interviewed eight mid-career teachers about their early-career experiences of supervisor and organizational …

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When Money Moves In: The Consequences Of Housing Wealth, Darren Aiello, Jason Kotter, Gregor Schubert

Faculty Publications

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We construct a novel dataset of millions of household moves over 25 years to examine how housing wealth affects purchase decisions. We find that a $1 exogenous increase in housing equity leads movers to pay a $0.06 premium on their next home, controlling for property characteristics and time-varying local prices. This behavior is driven by search frictions— wealthier households pay a premium rather than incur additional search costs. In aggregate, these decisions spill over to the broader housing market and cause upward regional price pressure. A 10% increase in equity gain among incoming movers increases local house price growth by …

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Cisheterosexism In Lgbtqia+ Health Resource Guides, Vanessa Kitzie, Olivia Reed, Amirezza Kalantari

Faculty Publications

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Cisheterosexism in LGBTQIA+ Health Resource Guides Vanessa Kitzie, Amirezza Kalantari, Olivia Reed University of South Carolina, School of Information Science [email protected] Limited healthcare resources lead many LGBTQIA+ people to peer networks, often accessed via search engines to find community-created health resource websites [1–3]. Academic library guides benefit privileged LGBTQIA+ identities [4], but little is known about community guides, which may reinforce cisheterosexist narratives, causing stigma and stress [5, 6]. This study addresses this gap by scraping Google results for LGBTQIA+ health resources across US states, examining how cisheterosexism shapes health topics, geography, and representation of LGBTQIA+ populations. We hypothesize that …

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Predicting Anomalies, Boone Bowles, Adam V. Reed, Matthew C. Ringgenberg

Faculty Publications

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We show that stock returns exhibit predictable patterns before the publication of anomaly trading signals. Moreover, anomaly trading signals derived from financial data are themselves predictable, making it possible to trade before financial statements are released. A trading strategy based on predicted anomaly signals earns an annualized return of 2.80% in the quarter before the signal is released. In recent periods, this return predictability is concentrated in signals that are harder to forecast, and returns are increasingly earned several quarters before signals are released. Our findings suggest anomalies are more anomalous than previously recognized.

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Who Invests In Crypto? Revealed Types And Economic Drivers Of Retail Investment, Darren Aiello, Scott R. Baker, Tetyana Balyuk, Marco Di Maggio, Mark J. Johnson, Jason Kotter

Faculty Publications

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Using transaction-level data from millions of U.S. households, we provide the first comprehensive characterization of retail cryptocurrency investment. Crypto investors are distinguished not by demographics but by a latent behavioral type revealed through consumption patterns—one that also predicts higher participation in traditional equity brokerages. The economic forces driving crypto investment, including income shocks, workplace peer effects, and inflation exposure, mirror those driving traditional investment. Crucially, households whose consumption matches the crypto-investor profile are more responsive to all these drivers across both asset classes, suggesting that investor type is a more relevant distinction than asset class.

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Do Cohort Restatements Generate Contagion? A Re-Examination, Melissa F. Lewis-Western, Timothy Seidel, Michael S. Wilkins

Faculty Publications

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Gleason, Jenkins, and Johnson (2008) provide evidence that restatements lead to stock price declines among non-restating industry peer firms, suggesting that investors perceive contemporaneous manipulation within the industry. In contrast, Kedia, Koh, and Rajgopal (2015) find that restatements—especially less severe ones—encourage peer firms to initiate earnings manipulation. These divergent findings, together with the rising prevalence of less severe restatements and advances in monitoring technologies, motivate a re-examination of manipulation contagion. Although we are able to replicate the results of both seminal studies, we find that the results in Kedia, Koh, and Rajgopal (2015) are sensitive to design choices that affect …

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Psychological Distance And Auditor Assessment Of The Severity Of An Internal Control Deficiency, Scott C. Jackson, John D. Keyser, Douglas F. Prawitt

Faculty Publications

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Auditors often underestimate the severity of internal control deficiencies, particularly when associated misstatements are immaterial. We find that auditors are more likely to correctly classify a material weakness when no misstatement information is provided than when misstatement information is available, and that this finding may unconsciously arise from auditors’ construal level in judging control deficiency severity. Through a series of experiments, we manipulate misstatement information related to an internal control deficiency designed to represent a material weakness. We hold the size of potential misstatement constant and find that auditors and graduate auditing students are less likely to correctly assess the …

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Out Of The Office: Market Impacts Of Institutional Investor Distraction, S. Owen Davidson, Michael S. Drake, James R. Moon Jr., James D. Warren

Faculty Publications

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Research has long recognized that institutional investors possess significant information processing advantages. Yet even these investors face limited attention constraints, implying that periods of distraction may attenuate their advantage. We examine the effects of a plausibly exogenous shock to institutional attention arising from the annual buy-side focused Equity Research and Valuation (ERV) conference for Chartered Financial Analysts on institutions’ information processing. Validation tests using conference call data indicate that fewer buy-side analysts are present on calls during ERV conferences and that questions are shorter, consistent with the presence of substitute or backup analysts. In our main analyses, we find that …

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Mission-Focused Multidisciplinary Design Optimization Of Tilt-Rotor Evtol Propulsion System, Tyler Critchfield, Andrew Ning

Faculty Publications

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Tilt-rotor propulsion system design requires a multidisciplinary approach to tackle important challenges and competing tradeoffs between disciplines. In this paper, we model rotor aerodynamics, blade structures, vehicle drag, electric propulsion, and tonal/broadband acoustics for a tilt-rotor, electric vertical takeoff and landing aircraft using low-to-mid fidelity tools. We use gradient-based design optimization with automatic differentiation and parameter sensitivity analyses to explore the design space and complex tradeoffs of tilt-rotor distributed electric propulsion systems, exploring effects of variations in payload/empty weight, battery specific energy, and blade tip speed. This framework models multiple operating points with a mission-focused objective to account for the …

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Influence Of Surface Features On Heat Transfer During Dropwise Condensation Over Superhydrophobic Surfaces In Shear Flow, Shaur Humayun, R. Daniel Maynes, Julie Crocket, Brian D. Iverson

Faculty Publications

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This study investigates heat transfer during dropwise condensation (DWC) on superhydrophobic (SH) surfaces in humid air shear flow, emphasizing the effect of increased drop mobility and the influence of surface micro/nanostructure on heat transfer rates. Experiments were conducted on smooth hydrophobic, microstructured SH, nanostructured carbon-infiltrated carbon nanotube (CICNT) surfaces, and two-tiered SH surfaces with both micro and nanostructures. Heat transfer rates were measured under humid air flow rates in the range of 2–4 CFM. Experimental results demonstrate that surfaces with nanostructure (including two-tiered structures) exhibit increased drop mobility and coalescence-induced drop jumping, enhancing drop removal rates and overall heat transfer …

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Longitudinal Associations And Interactions Of Adolescent Religious Deidentification And Parental Sanctification On Parent-Adolescent Relationships, Justin Hendricks, Sam A. Hardy, Michael A. Goodman, Emily De Schweintiz Taylor

Faculty Publications

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In many religious families, shared religious identity is a strong source of intergenerational solidarity. However, when adolescents deidentify from their family faith, normative parent-adolescent conflict, which heightens in mid-adolescence and normally subsides in late-adolescence, may intensify and damage parent-adolescent social cohesion. Many religious parents view parenting relationships as sanctified, which typically leads to adaptive parenting, but in the context of deidentification may lead to greater distress. To understand how adolescent religious deidentification influences parentadolescent relationships, we examined the longitudinal associations and interactions of adolescent children’s religious deidentification and parental sanctification on parent-child religious conflict and parental warmth (N = 1,391 …

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Developmental Themes Associated With Religious Activity After Early Return From A Latter-Day Saint Mission, Samuel E. Hancock, Sam A. Hardy, Michael Goodman, Camron Angell, Jenae M. Nelson

Faculty Publications

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In the Church of Jesus Christ of Latter-day Saints, qualified young men are expected (and young women are given the option) to complete extended missionary service during the transition to adulthood. Some youth end their missionary service short of the anticipated duration, which is associated with markedly lower rates of religious activity post-return. This study is a qualitative inquiry into the developmental themes associated with early returned missionaries from the Church of Jesus Christ of Latter-day Saints who chose to remain active (be consistently involved with the church), sampling from areas with high rates of Latter-day Saint activity, where stigmatization …

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Governing By Fragments: Soviet Ruins And The Architecture Of Unaccountability In Kazakhstan, Robert A. Kopack, Magdalena E. Stawkoski

Faculty Publications

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This article examines two case studies in Kazakhstan with research into how Soviet institutional legacies underwrite extractive economies that render toxic costs invisible in post-Soviet setting. Through ethnographic work in Stepnogorsk (uranium processing) and the Semipalatinsk Test Site (nuclear weapons testing), we extend Gabrielle Hecht’s residual governance framework to demonstrate how inherited bureaucratic compartmentalization now serves market rather than state interests. We introduce the concept of functional nonreform to describe how distributed actors maintain Soviet-era boundaries that prevent accountability: Agencies monitor but don’t enforce, health authorities lack jurisdiction over contaminated sites, and environmental agencies measure radiation but cannot restrict land …

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Gendered Words And Patent Grant Rates: A Textual Analysis, Deborah R. Gerhardt, Miriam Marcowitz-Bitton, W. Michael Schuster, Avshalom Elmalech, Omri Suissa, Moshe Mash

Faculty Publications

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Text is a vehicle to convey information that reflects the writer’s linguistic style and communication patterns. By studying these attributes, we can discover latent insights about the author and their underlying message. This article uses such an approach to better understand patent applications and their inventors.

While prior research focuses on patent metadata (i.e., filing year or gendered inventor names), we employ machine learning and natural language processing to extract hidden information from the words in patent applications. Through these methods, we find that inventor gender can often be identified from textual attributes—even without knowing the inventor’s name. This ability …

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Who's Afraid Of Copyright And Ai?, Deborah R. Gerhardt

Faculty Publications

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Copyright and AI need not be a copyright no man’s land. Recent decisions by the Copyright Office have gotten so much media attention that many creators are unsure if they can secure copyright protection if they use AI as a creative tool. The proposed creative control paradigm can help us all tackle the challenge of determining when works created with the assistance of AI are copyrightable. Instead of relying on long-established nuanced precedent for protecting works generated with new technology, the Copyright Office asserts that any content generated with assistance from AI tools is unprotectable. This position is radically inconsistent …

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Panda-Plus: Improved Dataset Of Prostate Whole Slide Images From Panda Challenge With Pixel-Level Expert Annotations, Spencer Hopson, Carson Mildon, Corbyn Kubalek, Joshua L. Ebbert, Ryan Vance, Lauren Laverty, Paul Urie, Dennis Della Corte

Faculty Publications

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Artificial intelligence (AI)-based prostate cancer detection through whole slide images (WSIs) offers promising potential to address the global pathologist shortage while improving clinical consistency. Digital slides and improving image analysis methods encourage the creation of tools to aid in WSI classification. Despite promising advances, these tools are still limited by available training data. Current publicly available datasets, such as Kaggle's PANDA Challenge, while large in scale, rely on slide-level labels that may introduce noise and limit model reliability. Others contain detailed annotations, but are smaller in size due to manual processing efforts. In this work, we introduce PANDA-PLUS, a 546-image …

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Metal Exposures And Their Interactions With The Dietary Inflammatory Index On Inflammatory Biomarkers In Mexican Adolescents, Yanelli Rodríguez-Carmona, Ana Baylin, Peter X.K. Song, Edward Ruiz-Narvaez, Cindy W. Leung, James Hébert Scd, Nitin Shivappa Mbbs, Mph, Ph.D., Michael David Wirth Msph, Phd, Face, Aljandra Cantoral, John D. Meeker, Niladri Basu, Martha María Tellez-Rojo, Karen E. Peterson, Sung Kyun Park

Faculty Publications

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Background:

Heavy metals, like lead, arsenic, and cadmium, are linked to increased inflammation even in early life; however, anti-inflammatory diets may offset these effects.

Methods:

We evaluated associations between heavy metals and inflammatory biomarkers, and potential effect modification by diet in 399 adolescents aged 10 to 18 at baseline who attended two study visits 2 years apart (773 observations). At baseline, blood lead, urinary arsenic, and cadmium concentrations were measured, and the Children’s Dietary Inflammatory Index (C-DII) was calculated. Fasting serum interleukin (IL)-4, IL-10, IL-1β, IL-6, IL-8, high-sensitivity C-reactive protein, and tumor necrosis factor-alpha were measured for both visits. Generalized …

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Energetics And Kinetics Of Alkali Ion Exchange In Analcime, Jinyi Liu, An T. Ta, R. Seaton Ullberg, Jean Wilfried Hounfodji, Michael Badawi, Hans Conrad Zur Loye, Simon R. Phillpot

Faculty Publications

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We employ density functional theory calculations to investigate the energetics and diffusion mechanisms of alkali metal ions (Na⁺, K⁺, Rb⁺, and Cs⁺) within the analcime framework. While Na⁺preferentially adsorbs at the center of the 8-member ring, DFT calculations show that larger ions, such as Cs⁺, occupy the center of the cage due to steric constraints. The computed exchange energies indicate that exchange of Na⁺by Cs⁺is thermodynamically favorable. Migration energy barriers, determined using the climbing image nudged elastic band method, show that Na⁺is …

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Optimal Sizing Of Battery Energy Storage Systems For Peak Shaving And Demand Response Using A Degradation-Aware Bayesian Optimization-Mixed-Integer Linear Programming Framework, Jiwei Yao, Blake Billings, Tao Gao, John Hedengren, Kody M. Powell

Faculty Publications

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The increasing integration of renewable energy and rising electricity demand highlight the importance of battery energy storage systems for peak shaving and demand response. Unlike prior approaches that overlook operational impacts on degradation, this study proposes a Bayesian Optimization–Mixed Integer Linear Programming framework for optimal battery energy storage system sizing. In this framework, Mixed Integer Linear Programming determines short-term scheduling while a calibrated electrochemical model iteratively evaluates degradation. The central hypothesis is that the framework can efficiently identify optimal sizes that yield realistic and economically robust outcomes. The method is tested across three scenarios: peak shaving, peak shaving with energy-reduction …

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Mechanistic Roles And Design Criteria For Catalysts In Lithium–Sulfur Batteries, Saheed Lateef, Golareh Jalilvand

Faculty Publications

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Catalysis is widely explored in lithium–sulfur (Li–S) batteries to address challenges related to limited capacity and cycle durability. Despite extensive research, catalyst development has often focused on materials without a clear understanding of the mechanistic landscape underlying the complex, multi-step, multi-electron sulfur redox pathway. In fact, our understanding of the thermodynamic, kinetic, and mass transport framework in Li–S systems is still evolving, particularly with respect to the reaction pathways during charge and discharge, and the dynamic evolution of materials in both liquid and solid phases. These evolving insights may fundamentally shift the requirements for catalyst design and future research priorities. …

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Degrees Of Rate Control And Autodiff-Driven Direct Sensitivity Analysis In Heterogeneous Catalysis, Olajide H. Bamidele, Sina Behtash, Mubarak Bello, Andreas Heyden

Faculty Publications

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Despite the wide application and benefits of the degree of rate control (DRC) analysis, several details remain argued, particularly about the conservation of DRCs at transient (TR) and steady-state (SS) conditions, especially for complex reaction networks. This work argues that previous proofs about the conservation properties of DRCs have been incomplete, and we provide new mathematical proofs at TR and SS conditions. In addition, we use both analytical (automatic differentiation) and numerical (finite difference) approaches to compute DRCs for the case study of ethane hydrogenolysis (EH) over Pt(111). This work confirms that at both TR and SS conditions, the sum …

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Programmable Acoustofluidic Engineering For Creating Gradient Biomaterials, Jujing Lu, Ye He, Jianping Xia, Mingyuan Liu, Joseph Rich, Ke Jin, Ruoyu Zhong, Kaichun Yang, Jiao Qian, Ying Chen, Ke Li, Zhiteng Ma, Tony Jun Huang

Faculty Publications

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Gradient biomaterials that exhibit spatially varying physical, chemical, or biological properties can be used in various applications such as tissue engineering, organoid development, mechanobiology, and spatially controlled drug delivery. However, current fabrication methods often suffer from limited gradient precision, restricted material compatibility, and poor reproducibility. Here, we introduced gradient regulation via acoustofluidic dynamic engineering (GRADE), a programmable system to generate high-fidelity gradient biomaterials across different material systems. By incorporating focused interdigital transducers with the pulsed surface acoustic wave actuation, GRADE can achieve tunable and directional acoustic streaming (0 to 22 millimeters per second), which allows accurate regulation of the gradient …

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