Digital Commons Network^™

Retention Forces For Drops On Microstructured Superhydrophobic Surfaces, Shaur Humayun, R. Daniel Maynes, Julie Crockett, Brian D. Iverson

Faculty Publications

Accurate models of retention forces between drops and superhydrophobic (SH) surfaces are required to predict drop dynamics on the surface. This retention force is, in turn, useful in modeling heat transfer rates for dropwise condensation on a SH surface. Drop contact angle distribution and base area on SH surfaces are essential factors for predicting retention forces. The present work measures the contact angle distribution and base area shapes of various drop sizes over a wide range of solid fraction for inclined microstructured SH surfaces at the point of drop departure. Base area shape was found to be well approximated using …

Emission Factors And Evolution Of So2 Measured From Biomass Burning In Wild And Agricultural Fires, Pamela S. Rickly, Hongyu Guo, Pedro Campuzano-Jost, Jose L. Jimenez, Glenn M. Wolfe, Ryan Bennett, Ilann Bourgeois, John D. Crounse, Jack E. Dibb, Joshua P. Digangi, Glenn S. Diskin, Maximilian Dollner, Emily M. Gargulinski, Samuel R. Hall, Hannah S. Halliday, Thomas F. Hanisco, Reem A. Hannun, Jin Liao, Richard Moore, Benjamin A. Nault, John B. Nowak, Jeff Peischl, Claire E. Robinson, Thomas Ryerson, Kevin J. Sanchez, Manuel Schöberl, Amber J. Soja, Jason M. St. Clair, Kenneth L. Thornhill, Kirk Ullmann, Paul O. Wennberg, Bernadett Weinzierl, Elizabeth B. Wiggins, Edward L. Winstead, Andrew W. Rollins

Faculty Publications

Fires emit sufficient sulfur to affect local and regional air quality and climate. This study analyzes SO2 emission factors and variability in smoke plumes from US wildfires and agricultural fires, as well as their relationship to sulfate and hydroxymethanesulfonate (HMS) formation. Observed SO2 emission factors for various fuel types show good agreement with the latest reviews of biomass burning emission factors, producing an emission factor range of 0.47–1.2 g SO2 kg−1 C. These emission factors vary with geographic location in a way that suggests that deposition of coal burning emissions and application of sulfur-containing fertilizers likely play a role in …

Enhanced Structural Control Of Soft-Templated Mesoporous Inorganic Thin Films By Inert Processing Conditions, Maximilliano Jesus Jara Fornerod, Alberto Alvarez-Fernandez, Eric R. Williams, Miximillian W.A. Skoda, Beatriz Prieto-Simon, Nicolas H. Voelcker, Morgan Stefik, Marc-Oliver Coppens, Stefan Guldin

Faculty Publications

Mesoporous thin films are widely used for applications in need of high surface area and efficient mass and charge transport properties. A well-established fabrication process involves the supramolecular assembly of organic molecules (e.g., block copolymers and surfactants) with inorganic materials obtained by sol-gel chemistry. Typically, subsequent calcination in air removes the organic template and reveals the porous inorganic network. A significant challenge for such coatings is the anisotropic shrinkage due to the volume contraction related to solvent evaporation, inorganic condensation, and template removal, affecting the final porosity as well as pore shape, size, arrangement, and accessibility. Here, we show that …

Distinctive Sans Forgetica Font Does Not Benefit Memory Accuracy In The Drm Paradigm, Mark J. Huff, Nicholas P. Maxwell, Anie Mitchell

Faculty Publications

A common method used by memory scholars to enhance retention is to make materials more challenging to learn—a benefit termed desirable difficulties. Recently, researchers have investigated the efficacy of Sans Forgetica, a perceptually disfluent/distinctive font which may increase processing effort required at study and enhance memory as a result. We examined the effects of Sans Forgetica relative to a standard control font (Arial) on both correct memory and associative memory errors using the Deese/Roediger–McDermott (DRM) false memory paradigm, to evaluate Sans Forgetica effects on overall memory accuracy. Across four experiments, which included nearly 300 participants, Sans Forgetica was found to …

Coaches Supporting Teachers Reluctant To Implement Intervention Instruction: The Role Of Reflection, Elizabeth Cutrer, Erica E. Miller

Faculty Publications

No abstract provided.

Resilience Monitoring For Multi-Filter All-Source Navigation Framework With Assurance, Jonathon S. Gipson, Robert C. Leishman

Faculty Publications

The Autonomous and Resilient Management of All-source Sensors (ARMAS) framework monitors residual-space test statistics across unique sensor-exclusion banks of filters (known as subfilters) to provide a resilient, fault-resistant all-source navigation architecture with assurance. A critical assumption of this architecture, demonstrated in this paper, is fully overlapping state observability across all subfilters. All-source sensors, particularly those that only provide partial state information (altimeters, TDoA, AOB, etc.), do not intrinsically meet this requirement. This paper presents a novel method to monitor real-time overlapping position state observability and introduces an observability bank within the ARMAS framework, known as stable observability monitoring (SOM). SOM …

Schoolhouse Rock! Rules: Orthodoxies And Unorthodoxies In Congressional Procedure, John Cannan

Faculty Publications

Is the Schoolhouse Rock! cartoon version of the conventional legislative process really dead? According to some legal academics, traditional Congressional procedures, documented in the cartoon I’m Just a Bill, have been replaced by unorthodox lawmaking—frequent and significant procedural legislative deviations. In actuality, the iconic cartoon and the traditional process are not ready for the grave just yet.

This paper documents the many nuances in orthodox and unorthodox lawmaking by reviewing over 1,500 laws passed between the 111th to116th Congresses and the information sources produced for each to evaluate how pervasive unorthodox law-making really is. The results show the true balance …

The Evaluation Of A Clinical Decision Support Tool Using Natural Language Processing To Screen Hospitalized Adults For Unhealthy Substance Use: Protocol For A Quasi-Experimental Design, Cara Joyce, Talar W. Markossian, Jenna Nikolaides, Elisabeth Ramsey, Hale M. Thompson, Juan C. Rojas, Brihat Sharma, Dmitriy Dligach, Madeline K. Oguss, Richard S. Cooper, Majid Afshar

Faculty Publications

Background: Automated and data-driven methods for screening using natural language processing (NLP) and machine learning may replace resource-intensive manual approaches in the usual care of patients hospitalized with conditions related to unhealthy substance use. The rigorous evaluation of tools that use artificial intelligence (AI) is necessary to demonstrate effectiveness before system-wide implementation. An NLP tool to use routinely collected data in the electronic health record was previously validated for diagnostic accuracy in a retrospective study for screening unhealthy substance use. Our next step is a noninferiority design incorporated into a research protocol for clinical implementation with prospective evaluation of clinical …

Channel Bed Adjustment Of The Lowermost Yangtze River Estuary From 1983 To 2018: Causes And Implications, Ming Tang, Heqin Cheng, Yijun Xu, Hao Hu, Shuwei Zheng, Bo Wang, Zhongyong Yang, Lizhi Teng, Wei Xu, Erfeng Zhang, Jiufa Li

Faculty Publications

Deltaic channels are significant landforms at the interface of sediment transfer from land to oceanic realms. Understanding the dynamics of these channels is urgent because delta processes are sensitive to climate change and adjustments in human activity. To obtain a better understanding of the morphological processes of large deltaic channels, this study assessed the evolution and response mechanism of the South Channel and South Passage (SCSP) in the Yangtze Estuary between 1983 to 2018 using hydrology, multibeam echo sounding and historical bathymetry datasets. Decadal changes in riverbed volume and erosion/deposition patterns in the SCSP were assessed. The results showed that …

Uterine Lumen Fluid Is Metabolically Semi-Autonomous, Constantine A. Simintiras, Jessica N. Drum, Hongyu Liu, M. Sofia Ortega, Thomas E. Spencer

Faculty Publications

Uterine lumen fluid (ULF) is central to successful pregnancy establishment and maintenance, and impacts offspring wellbeing into adulthood. The current dogma is that ULF composition is primarily governed by endometrial glandular epithelial cell secretions and influenced by progesterone. To investigate the hypothesis that ULF is metabolically semi-autonomous, ULF was obtained from cyclic heifers, and aliquots incubated for various durations prior to analysis by untargeted semi-quantitative metabolomic profiling. Metabolite flux was observed in these ULF isolates, supporting the idea that the biochemical makeup of ULF is semi-autonomously dynamic due to enzyme activities. Subsequent integrative analyses of these, and existing, data predict …

Non-Destructive Quality Evaluation Of Tropical Fruit (Mango And Mangosteen) Purée Using Near-Infrared Spectroscopy Combined With Partial Least Squares Regression, Pimpen Pornchaloempong, Sneha Sharma, Thitima Phanomsophon, Kraisuwit Srisawat, Wasan Inta, Panmanas Sirisomboon, Witoon Prinyawiwatkul, Natrapee Nakawajana, Ravipat Lapcharoensuk, Sontisuk Teerachaichayut

Faculty Publications

Mango and mangosteen are commercially important tropical fruits with a short shelf life. Fruit processing is one of the alternatives to extend the shelf life of these fruits. Purée is one of the processed products of fresh fruit. In this research, the quality of mango and mangosteen purée was analyzed. Titratable acidity (TA) and total soluble solids (TSS) were predicted using non-destructive near-infrared (NIR) spectroscopy. A partial least squares regression (PLSR) model was developed based on the NIR spectra with a wavelength ranging from 800 to 2500 nm. The PLSR model returned a coefficient of determination (r2) and a ratio …

Smart Quantum Statistical Imaging Beyond The Abbe-Rayleigh Criterion, Narayan Bhusal, Mingyuan Hong, Ashe Miller, Mario A. Quiroz-Juárez, Roberto De J. León-Montiel, Chenglong You, Omar S. Magaña-Loaiza

Faculty Publications

The wave nature of light imposes limits on the resolution of optical imaging systems. For over a century, the Abbe-Rayleigh criterion has been utilized to assess the spatial resolution limits of imaging instruments. Recently, there has been interest in using spatial projective measurements to enhance the resolution of imaging systems. Unfortunately, these schemes require a priori information regarding the coherence properties of “unknown” light beams and impose stringent alignment conditions. Here, we introduce a smart quantum camera for superresolving imaging that exploits the self-learning features of artificial intelligence to identify the statistical fluctuations of unknown mixtures of light sources at …

Health Physics Workforce In The United States, Michael A. Noska, Caridad Borrás, E. Vincent Holahan, Shaheen A. Dewji, Thomas E. Johnson, Jerry W. Hiatt, Wayne D. Newhauser, John W. Poston, Nolan Hertel

Faculty Publications

No abstract provided.

Medical Physics Workforce In The United States, Wayne D. Newhauser, Dustin A. Gress, Michael D. Mills, David W. Jordan, Steven G. Sutlief, Melissa C. Martin, Edward Jackson

Faculty Publications

No abstract provided.

Detecting Quantum Critical Points Of Correlated Systems By Quantum Convolutional Neural Network Using Data From Variational Quantum Eigensolver, Nathaniel Wrobel, Anshumitra Baul, Ka Ming Tam, Juana Moreno

Faculty Publications

Machine learning has been applied to a wide variety of models, from classical statistical mechanics to quantum strongly correlated systems, for classifying phase transitions. The recently proposed quantum convolutional neural network (QCNN) provides a new framework for using quantum circuits instead of classical neural networks as the backbone of classification methods. We present the results from training the QCNN by the wavefunctions of the variational quantum eigensolver for the one-dimensional transverse field Ising model (TFIM). We demonstrate that the QCNN identifies wavefunctions corresponding to the paramagnetic and ferromagnetic phases of the TFIM with reasonable accuracy. The QCNN can be trained …

Probiotic Incorporation Into Yogurt And Various Novel Yogurt-Based Products, Douglas W. Olson, Kayanush J. Aryana

Faculty Publications

Probiotics are commonly added to yogurt to provide many health benefits for the consumer. A description is provided for some commonly used probiotics in yogurt. A GRAS (generally recognized as safe) list of probiotic bacteria that can be added to yogurt or similar types of products is provided. Additionally, prebiotics, synbiotics (combination of prebiotics and probiotics), postbiotics, paraprobiotics, and psychobiotics can be added to yogurt. Probiotic yogurt can come in various forms in addition to spoonable yogurt, and yogurt can be used as an ingredient in other food products. Many useful functional ingredients can be applied to probiotic yogurt. The …

Personalized Breast Cancer Onset Prediction From Lifestyle And Health History Information, Shi Ang Qi, Neeraj Kumar, Jian Yi Xu, Jaykumar Patel, Sambasivarao Damaraju, Grace Shen-Tu, Russell Greiner

Faculty Publications

We propose a method to predict when a woman will develop breast cancer (BCa) from her lifestyle and health history features. To address this objective, we use data from the Alberta's Tomorrow Project of 18,288 women to train Individual Survival Distribution (ISD) models to predict an individual's Breast-Cancer-Onset (BCaO) probability curve. We show that our three-step approach-(1) filling missing data with multiple imputations by chained equations, followed by (2) feature selection with the multivariate Cox method, and finally, (3) using MTLR to learn an ISD model-produced the model with the smallest L1-Hinge loss among all calibrated models with comparable C-index. …

A Systematic Literature Review Of Anti-Discrimination Design Strategies In The Digital Sharing Economy, Miroslav Tushev, Fahimeh Ebrahimi, Anas Mahmoud

Faculty Publications

Applications of the Digital Sharing Economy (DSE), such as Uber, Airbnb, and TaskRabbit, have become a main facilitator of economic growth and shared prosperity in modern-day societies. However, recent research has revealed that the participation of minority groups in DSE activities is often hindered by different forms of bias and discrimination. Evidence of such behavior has been documented across almost all domains of DSE, including ridesharing, lodging, and freelancing. However, little is known about the underlying design decisions of DSE platforms which allow certain demographics of the market to gain unfair advantage over others. To bridge this knowledge gap, in …

Manipulating Facebook's Notification System To Provide Evidence Of Techno-Social Engineering, Brett Frischmann, Katherine Haenschen, Paul Ellenbogen

Faculty Publications

Techno-social engineering (TSE) theory argues that digital platforms shape and program human behaviors. We provide empirical evidence of this theory by introducing a novel method to conduct in-network studies on Facebook. We manipulate Facebook’s birthday notification system by recruiting confederates to change their birthday to a randomly assigned date and then measure network members’ responses in terms of whether they leave a greeting or question the veracity of the date. TSE theory leads us to expect that more participants will wish happy birthday on the fake date than question its veracity. We explore variables expected to predict heterogeneity in terms …

Subchronic Oral Cylindrospermopsin Exposure Alters The Host Gut Microbiome And Is Associated With Progressive Hepatic Inflammation, Stellate Cell Activation, And Mild Fibrosis In A Preclinical Study, Punnag Saha, Macayla Upright, Dipro Bose, Subhajit Roy, Ayushi Trivedi, Madhura More, Geoff Scott Ph.D., Bryan W. Brooks, Saurabh Chatterjee

Faculty Publications

Epidemiological studies have reported a strong association between liver injury and incidences of hepatocellular carcinoma in sections of humans globally. Several preclinical studies have shown a strong link between cyanotoxin exposure and the development of nonalcoholic steatohepatitis, a precursor of hepatocellular carcinoma. Among the emerging threats from cyanotoxins, new evidence shows cylindrospermopsin release in freshwater lakes. A known hepatotoxin in higher concentrations, we examined the possible role of cylindrospermopsin in causing host gut dysbiosis and its association with liver pathology in a mouse model of toxico-pharmacokinetics and hepatic pathology. The results showed that oral exposure to cylindrospermopsin caused decreased diversity …

Insectdisease: Programmatic Access To The Ecological Database Of The World’S Insect Pathogens, Tad Dallas, Colin J. Carlson, Patrick R. Stephens, Sadie J. Ryan, David W. Onstad

Faculty Publications

Curated databases of species interactions are instrumental to exploring and understanding the spatial distribution of species and their biotic interactions. In the process of conducting such projects, data development and curation efforts may give rise to a data product with utility beyond the scope of the original work, but which becomes inaccessible over time. Data describing insect host–pathogen interactions are fairly rare, and should thus be preserved and curated with appropriate metadata. Here, we introduce the insectDisease R package, a mechanism for curating, updating and distributing data from the Ecological Database of the World's Insect Pathogens, a database of insect …

A World Without Prosecutors, Jeffrey Bellin

Faculty Publications

Bennett Capers’ article Against Prosecutors challenges us to imagine a world where we “turn away from prosecution as we know it,” and shift “power from prosecutors to the people they purport to represent.”

[...]

Capers joins a long line of authors seeking to attack mass incarceration by reducing the role of prosecutors. I agree with these authors that we should dramatically shrink the footprint of American criminal law and ending the war on drugs is a good place to start. But while Capers styles his proposal as a “[r]adical change,” I find the focus on prosecutors in this context decidedly …

A New Feudalism: Selfish Genes, Great Wealth, And The Rise Of The Dynastic Family Trust (Dft), Eric Kades

Faculty Publications

Today’s record levels of economic inequality are infecting our future as the top 0.01% bequeath vast wealth to their descendants. With the death of the Rule Against Perpetuities (RAP), this inequality has the potential to harden social class lines—not just for a generation or two, but forever. Although it may sound implausible, interviews with estate lawyers serving very high-net-worth clients reveal that some members of the wealthiest tier of testators are already exploiting the RAP’s elimination, along with a tax loophole, to establish dynasty trusts that will financially empower their bloodline as long as it continues. Recent work in evolutionary …

Galla Placidia And The “Daughter Of The Queen Of The South”: The Historical Consequences Of A Late Roman Interpretation Of Daniel 11, Kenneth Atkinson

Faculty Publications

The tragic story of the Roman Empire’s decline and fall has captivated the imaginations of countless artists, scholars, and filmmakers, among others. The many rulers of the Roman Empire—regardless of whether they were competent or not to hold office—dealt with insurmountable problems such as frequent invasions, numerous civil wars, attempted coups, unchecked immigration, racism, economic downturns, inept government officials, political corruption, changing values, religious violence, and sexism. Yet, despite overwhelming odds, the Roman Empire managed to survive these and other threats until September of 476 A.D. when a Roman of Gothic origin, Odoacer, forced the emperor Romulus Augustulus, to abdicate. …

Sex And Coercion: Comments On Green's Criminalizing Sex, Michelle Madden Dempsey

Faculty Publications

In chapter seven of Stuart Green’s magnificent book, Criminalizing Sex, he considers the crime of rape by coercion. In doing so, he takes up several related questions, including how we should distinguish between coercive threats and so-called coercive offers, and how to distinguish between coercive and non-coercive offers. My comments proceed in five steps. In section one, I argue that we should not bother making any distinction between threats and offers, since the two are intertranslatable. In section two, I examine various baselines that might be used to identify coercive proposals (regardless of whether they appear in the form of …

Substrate Availability And Not Thermal Acclimation Controls Microbial Temperature Sensitivity Response To Long-Term Warming, Luiz A. Domeignoz-Horta, Grace Pold, Hailey Erb, David Sebag, Eric Verrecchia, Trent Northen, Katherine Louie, Emiley Eloe-Fadrosh, Christa Pennacchio, Melissa A. Knorr, Serita D. Frey, Jerry M. Melillo, Kristen M. Deangelis

Faculty Publications

Microbes are responsible for cycling carbon (C) through soils, and predicted changes in soil C stocks under climate change are highly sensitive to shifts in the mechanisms assumed to control the microbial physiological response to warming. Two mechanisms have been suggested to explain the long-term warming impact on microbial physiology: microbial thermal acclimation and changes in the quantity and quality of substrates available for microbial metabolism. Yet studies disentangling these two mechanisms are lacking. To resolve the drivers of changes in microbial physiology in response to long-term warming, we sampled soils from 13- and 28-year-old soil warming experiments in different …

An Assessment Of Future Tidal Marsh Resilience In The San Francisco Estuary Through Modeling And Quantifiable Metrics Of Sustainability, James T. Morris, Judith Z. Drexler, Lydia J.S. Vaughn, April H. Robinson

Faculty Publications

Quantitative, broadly applicable metrics of resilience are needed to effectively manage tidal marshes into the future. Here we quantified three metrics of temporal marsh resilience: time to marsh drowning, time to marsh tipping point, and the probability of a regime shift, defined as the conditional probability of a transition to an alternative super-optimal, suboptimal, or drowned state. We used organic matter content (loss on ignition, LOI) and peat age combined with the Coastal Wetland Equilibrium Model (CWEM) to track wetland development and resilience under different sea-level rise scenarios in the Sacramento-San Joaquin Delta (Delta) of California. A 100-year hindcast of …

Accounting For The Growth Of Observation Stays In The Assessment Of Medicare’S Hospital Readmissions Reduction Program, Amber K. Sabbatini, Karen E. Joynt-Maddox, Joshua M. Liao, Anirban Basu, Canada Parrish, William Kreuter, Brad Wright Ph.D.

Faculty Publications

Importance Decreases in 30-day readmissions following the implementation of the Medicare Hospital Readmissions Reduction Program (HRRP) have occurred against the backdrop of increasing hospital observation stay use, yet observation stays are not captured in readmission measures.

Objective To examine whether the HRRP was associated with decreases in 30-day readmissions after accounting for observation stays.

Design, Setting, and Participants This retrospective cohort study included a 20% sample of inpatient admissions and observation stays among Medicare fee-for-service beneficiaries from January 1, 2009, to December 31, 2015. Data analysis was performed from November 2021 to June 2022. A differences-in-differences analysis assessed changes in …

Soil Microbial Communities Vary In Composition And Functional Strategy Across Soil Aggregate Size Class Regardless Of Tillage, Lukas T. Bernhardt, Richard G. Smith, Andrew S. Grandy, Jessica E. Mackay, Nicholas D. Warren, Kevin M. Geyer, Jessica G. Ernakovich

Faculty Publications

The physicochemical environment within aggregates controls the distribution of carbon and microbial communities in soils. Agricultural management, such as tillage, can disrupt aggregates and the microscale habitat provided to microorganisms, thus altering microbial community dynamics. Categorizing microbial communities into life history strategies with shared functional traits—as has been done to understand plant community structure for decades—can illuminate how the soil physicochemical environment constrains the membership and activity of microbial communities. We conducted an aggregate scale survey of microbial community composition and function through the lens of the yield–acquisition–stress (Y–A–S) tolerator life history framework. Soils collected from a 7-year tillage experiment …

Development And Evaluation Of E3sm-Mosaic: Spatial Distributions And Radiative Effects Of Nitrate Aerosol, Mingxuan Wu, Hailong Wang, Richard C. Easter, Zheng Lu, Xiaohong Liu, Balwinder Singh, Po-Lun Ma, Qi Tang, Ziming Ke, Rudong Zhang, Louisa K. Emmons, Simone Tilmes, Jack E. Dibb, Xue Zheng, Shaocheng Xie, L. Ruby Leung

Faculty Publications

Nitrate aerosol plays an important role in affecting regional air quality as well as Earth’s climate. However, it is not well represented or even neglected in many global climate models. In this study, we couple the Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) module with the four-mode version of the Modal Aerosol Module (MAM4) in DOE’s Energy Exascale Earth System Model version 2 (E3SMv2) to treat nitrate aerosol and its radiative effects. We find that nitrate aerosol simulated by E3SMv2-MAM4-MOSAIC is sensitive to the treatment of gaseous HNO3 transfer to/from interstitial particles related to accommodation coefficients of HNO3 (α_HNO3) …