Digital Commons Network^™

Martin Luther On Praying The Psalms, Mary Jane Haemig

Faculty Publications

No abstract provided.

Regional Variation In The Trophic Ecology Of Wahoo (Acanthocybium Solandri) In The Western Atlantic Ocean, Brendan Gough, Alexandra Prouse, Michael A. Dance, R. J.David Wells, Jay R. Rooker

Faculty Publications

Intrinsic tracers, such as stable isotopes of carbon and nitrogen, are common dietary markers that accumulate in the muscle tissue of consumers and can be used to determine the dietary sources and trophic positions of consumers. The aim of this study was to assess regional variation in the trophic ecology of wahoo (Acanthocybium solandri) using bulk stable isotopes. Muscle biopsies of wahoo were collected from four regions in the western Atlantic Ocean: the eastern Gulf of Mexico, western Gulf of Mexico, Northwest Atlantic Ocean, and Caribbean Sea. Muscle tissue δ¹³C and δ¹⁵N values for wahoo ranged …

Writing It Right: Advice About Written Advocacy From The Washington Court Of Appeals, Douglas E. Abrams

Faculty Publications

This article concerns “Briefly Speaking: Brief Writing—Best Practices,” a collection of sound advice that appears on the website of the Washington Court of Appeals, the state’s intermediate appellate court. The court’s judges explore strategies of appellate practice, but that is not all. In this article, I select five of the court’s insights about effective written expression, insights that can enhance the quality not only of brief writing, but also of much other legal writing.

Political Polarization In America: Its Impact On Industrial Democracy And Labor Law, Rafael Gely

Faculty Publications

This article explores the impact that political polarization is having in the social, legal, and regulatory space, particularly on American worker-management relations. Polarization is affecting decisions involving social relationships and market transactions, the ability of institutions built to generate debate and discussion to successfully complete these missions, and people's willingness to listen to and engage with views contrary to their own.

White Adipose Tissue Heterogeneity In The Single-Cell Era: From Mice And Humans To Cattle, Hunter Ford, Qianglin Liu, Xing Fu, Clarissa Strieder-Barboza

Faculty Publications

Adipose tissue is a major modulator of metabolic function by regulating energy storage and by acting as an endocrine organ through the secretion of adipokines. With the advantage of next-generation sequencing-based single-cell technologies, adipose tissue has been studied at single-cell resolution, thus providing unbiased insight into its molecular composition. Recent single-cell RNA sequencing studies in human and mouse models have dissected the transcriptional cellular heterogeneity of subcutaneous (SAT), visceral (VAT), and intramuscular (IMAT) white adipose tissue depots and revealed unique populations of adipose tissue progenitor cells, mature adipocytes, immune cell, vascular cells, and mesothelial cells that play direct roles on …

A Single-Cell Atlas Of Bovine Skeletal Muscle Reveals Mechanisms Regulating Intramuscular Adipogenesis And Fibrogenesis, Leshan Wang, Peidong Gao, Chaoyang Li, Qianglin Liu, Zeyang Yao, Yuxia Li, Xujia Zhang, Jiangwen Sun, Constantine Simintiras, Matthew Welborn, Kenneth Mcmillin, Stephanie Oprescu, Shihuan Kuang, Xing Fu

Faculty Publications

Background: Intramuscular fat (IMF) and intramuscular connective tissue (IMC) are often seen in human myopathies and are central to beef quality. The mechanisms regulating their accumulation remain poorly understood. Here, we explored the possibility of using beef cattle as a novel model for mechanistic studies of intramuscular adipogenesis and fibrogenesis. Methods: Skeletal muscle single-cell RNAseq was performed on three cattle breeds, including Wagyu (high IMF), Brahman (abundant IMC but scarce IMF), and Wagyu/Brahman cross. Sophisticated bioinformatics analyses, including clustering analysis, gene set enrichment analyses, gene regulatory network construction, RNA velocity, pseudotime analysis, and cell–cell communication analysis, were performed to elucidate …

Chemical Communication In Insects: New Advances In Integrated Pest Management Strategies, Angel Guerrero, Gadi V.P. Reddy

Faculty Publications

No abstract provided.

Early Season Monitoring Of Tarnished Plant Bug, Lygus Lineolaris, In Wild Hosts Using Pheromone Traps, Justin George, James P. Glover, Gadi V.P. Reddy, Chris Johnson, David R. Hall

Faculty Publications

The tarnished plant bug, Lygus lineolaris (Hemiptera: Miridae), has a wide host range of over 700 plant species, including 130 crops of economic importance. During early spring, managing the field edges with weeds and other wild hosts is important in preventing early-season infestations of L. lineolaris in cotton to prevent damage to the squares and other fruiting structures. Scouting fields for L. lineolaris is time- and labor-intensive, and end-user variability associated with field sampling can lead to inaccuracies. Insect traps that combine visual cues and pheromones are more accurate, sustainable, and economically feasible in contrast to traditional insect detection methods. …

Message Or Messenger? Source And Labeling Effects In Authoritarian Response To Protest, Daniel Arnon, Pearce Edwards, Handi Li

Faculty Publications

Authoritarian regimes in the 21st century have increasingly turned to using information control rather than kinetic force to respond to threats to their rule. This paper studies an often overlooked type of information control: strategic labeling and public statements by regime sources in response to protests. Labeling protesters as violent criminals may increase support for repression by signaling that protests are illegitimate and deviant. Regime sources, compared to more independent sources, could increase support for repression even more when paired with such an accusatory label. Accommodative labels should have opposing effects—decreasing support for repression. The argument is tested with a …

Examination Of Real-Time Variation In Interpersonal Hopelessness And Suicidal Desire In A College Student Sample Reporting Past-2-Week Suicidal Ideation, Jessica L. Gerner, Emma H. Moscardini, Sean M. Mitchell, Ryan M. Hill, Raymond P. Tucker

Faculty Publications

Introduction: Interpersonal hopelessness (IH), as outlined in the Interpersonal Theory of Suicide, is theorized to include two correlated, distinct constructs: hopelessness about one's thwarted belongingness (IH-TB) and about perceived burdensomeness on others (IH-PB). Few studies have explored IH, and none have explored its temporal stability or prospective prediction of suicidal desire. Methods: Undergraduates (N = 43) selectively recruited for past-2-week suicidal ideation completed five ecological momentary assessment surveys per day for 10-days. Intraclass correlations, root mean square of successive differences, and multilevel models were used to examine the data and test relationships among predictor variables. Results: IH-TB and IH-PB demonstrated …

Perceived Stress And Suicidal Ideation: The Role Of Dispositional Mindfulness, Emma H. Moscardini, Anthony Robinson, Jessica Gerner, Raymond P. Tucker

Faculty Publications

Objectives: Extant literature suggests that dispositional mindfulness may reduce the impact perceived stress has on the severity of suicidal ideation (SI). Only one study has analyzed this question but did so with a cross-sectional design in a sample of undergraduate women. Methods: This study analyzed the potential moderating role of dispositional mindfulness on the relation between perceived stress and SI cross-sectionally and at one-week follow-up in a sample of US adults (N = 598) with a history of SI. Results: Results indicated that dispositional mindfulness and its facets were inversely related to perceived stress, SI severity at baseline, and SI …

Toward Food Security In 2050: Gene Pyramiding For Climate-Smart Rice, Isnaini Isnaini, Yudhistira Nugraha, Niranjan Baisakh, Nono Carsono

Faculty Publications

The decline in crop productivity due to climate change is a major issue that threatens global food security and is the main challenge for breeders today in developing sustainable varieties with a wider tolerance to abiotic and biotic stresses. Breeding climate-smart rice (CSR) cultivars may be the best adaptation to climate change, with the potential to improve future food security and profitability for farmers in many nations. The main objective of this review is to highlight the direction of development of superior rice breeding from time to time, and various studies of new techniques of breeding methods for pyramiding various …

Reevaluation Of 2,3,7,8-Tetrachlorodibenzo-P-Dioxin Equivalency Factors For Dioxin-Like Polychlorinated Dibenzo-P-Dioxins, Polychlorinated Dibenzofurans, And Polychlorinated Biphenyls For Fishes, Jon A. Doering, Donald E. Tillitt, Steve Wiseman

Faculty Publications

An expert meeting was organized by the World Health Organization (WHO) in 1997 to streamline assessments of risk posed by mixtures of dioxin-like chemicals (DLCs) through development of 2,3,7,8-tetrachlorodibenzo-p-dioxin (2,3,7,8-TCDD) equivalency factors (TEFs) for mammals, birds, and fishes. No reevaluation has been performed for fish TEFs. Therefore, the objective of the present study was to reevaluate the TEFs for fishes based on an updated database of relative potencies (RePs) for DLCs. Selection criteria consistent with the WHO meeting resulted in 53 RePs across 14 species of fish ultimately being considered. Of these RePs, 70% were not available at the time …

Deep Multimessenger Search For Compact Binary Mergers In Ligo, Virgo, And Fermi/Gbm Data From 2016-2017, Marion Pillas, Tito Dal Canton, Cosmin Stachie, Brandon Piotrzkowski, Fergus Hayes, Rachel Hamburg, Eric Burns, Joshua Wood, Pierre Alexandre Duverne, Nelson Christensen

Faculty Publications

GW170817-GRB 170817A provided the first observation of gravitational waves from a neutron star merger with associated transient counterparts across the entire electromagnetic spectrum. This discovery demonstrated the long-hypothesized association between short gamma-ray bursts and neutron star mergers. More joint detections are needed to explore the relation between the parameters inferred from the gravitational wave and the properties of the gamma-ray burst signal. We developed a joint multimessenger analysis of LIGO, Virgo, and Fermi/GBM data designed for detecting weak gravitational-wave transients associated with weak gamma-ray bursts. As such, it does not start from confident (GWTC-1) events only. Instead, we take the …

Engineering Super-Poissonian Photon Statistics Of Spatial Light Modes, Mingyuan Hong, Ashe Miller, Roberto De J. León-Montiel, Chenglong You, Omar S. Magaña-Loaiza

Faculty Publications

The nature of light sources is defined by the statistical fluctuations of the electromagnetic field. As such, the photon statistics of light sources are typically associated with distinct emitters. Here, the possibility of producing light beams with various photon statistics through the spatial modulation of coherent light is demonstrated. This is achieved by the sequential encoding of controllable Kolmogorov phase screens in a digital micromirror device. Interestingly, the flexibility of this scheme allows for the shaping of spatial light modes with engineered photon statistics at different spatial positions. The performance of this scheme is assessed through the photon-number-resolving characterization of …

Kmt-2021-Blg-1547lb: Giant Microlensing Planet Detected Through A Signal Deformed Due To Source Binarity, Cheongho Han, Weicheng Zang, Youn Kil Jung, Ian A. Bond, Sun Ju Chung, Michael D. Albrow, Andrew Gould, Kyu Ha Hwang, Yoon Hyun Ryu, In Gu Shin, Yossi Shvartzvald, Hongjing Yang, Jennifer C. Yee, Sang Mok Cha, Doeon Kim, Dong Jin Kim, Seung Lee Kim, Chung Uk Lee, Dong Joo Lee, Yongseok Lee, Byeong Gon Park, Richard W. Pogge, Berto Monard, Qiyue Qian, Zhuokai Liu, Dan Maoz, Matthew T. Penny, Wei Zhu, Fumio Abe, Richard Barry, David P. Bennett, Aparna Bhattacharya, Hirosame Fujii

Faculty Publications

Aims. We investigate the previous microlensing data collected by the KMTNet survey in search of anomalous events for which no precise interpretations of the anomalies had been suggested. From this investigation, we find that the anomaly in the lensing light curve of the event KMT-2021-BLG-1547 is approximately described by a binary-lens (2L1S) model with a lens possessing a giant planet, but the model leaves unexplained residuals. Methods. We investigated the origin of the residuals by testing more sophisticated models that include either an extra lens component (3L1S model) or an extra source star (2L2S model) on top of the 2L1S …

Pubertal Progression And Its Relationship To Psychological And Behavioral Outcomes Among Adolescent Boys, Meng-Che Tsai, Yu-Chung Lawrence Wang, Hsun-Yu Chan

Faculty Publications

Variations in pubertal timing and tempo have relevance to psychosocial development. Accounting for pubertal timing, tempo, and psychosocial development simultaneously in a model remains challenging. This study aimed to document the typology of pubertal development in a cohort of Taiwanese adolescent boys and then to examine how the associations between psychosocial variables across time vary by the patterns of pubertal development. A group of adolescent boys (n = 1,368) reported pubertal signs and psychosocial variables for 3 years since seventh grade. The growth mixture model revealed three major classes of pubertal transition: average pubertal growth, late-onset with rapid catch-up, and …

Strategies Elementary School Children Use To Influence Mothers' Food Purchasing Decisions, Nazratun N. Monalisa, Edward A. Frongillo Ph.D., Christine E. Blake Ph.D., Rd, Susan E. Steck, Robin B. Dipietro

Faculty Publications

This study aimed to understand the strategies elementary-school-aged children used to influence mothers' food purchasing decisions. Semi-structured qualitative interviews were conducted with 40 children aged 6–11 years and their mothers living in South Carolina. Strategies to influence mothers' food purchases were collected from children and their mothers separately. The interviews were audio-recorded, transcribed verbatim, and open-coded. The constant comparative method was used for data analysis. Coding matrices were used to compare children's and mothers' responses on the children's strategies. Children reported 157 instances of 25 distinct strategies to influence mothers' purchasing decisions. Mothers had concordance with 83 instances of these …

Deficiency Of Healthcare Accessibility Of Elderly People Exposed To Future Extreme Coastal Floods: A Case Study Of Shanghai, China, Xinmeng Shan, Paolo Scussolini, Jun Wang, Mengya Li, Jiahong Wen, Lei Wang

Faculty Publications

Socioeconomic development, subsidence, and climate change have led to high flood risks in coastal cities, making the vulnerable, especially elderly people, more prone to floods. However, we mostly do not know how the accessibility of life-saving public resources for the elderly population will change under future scenarios. Using Shanghai as a case, this study introduced a new analytical framework to fill this gap. We integrated for the first time models of coastal flooding, local population growth, and medical resource supply-demand estimation. The results show that under an extreme scenario of coastal flooding in the year 2050, in the absence of …

Friction-In-Design Regulation As 21st Century Time, Place, And Manner Restriction, Brett Frischmann, Susan Benesch

Faculty Publications

Digital networked society needs friction-in-design regulation that targets the digital architectures, supposedly smart (data-driven, algorithmic) systems, and interfaces that shape human interactions, behavior, and will (beliefs, preferences, values, intentions). The relentless push to eliminate friction for the sake of efficiency has hidden social costs that affect basic human capabilities and society. A general course correction is needed.

Friction in the digital networked environment can come in many forms. It can be as simple as a time delay prior to publishing a social media post, a notice that provides salient information coupled with a nudge toward actual deliberation, or a query …

Machine-Learning-Based Thermal Conductivity Prediction For Additively Manufactured Alloys, Uttam Bhandari, Yehong Chen, Huan Ding, Congyuan Zeng, Selami Emanet, Paul R. Gradl, Shengmin Guo

Faculty Publications

Thermal conductivity (TC) is greatly influenced by the working temperature, microstructures, thermal processing (heat treatment) history and the composition of alloys. Due to computational costs and lengthy experimental procedures, obtaining the thermal conductivity for novel alloys, particularly parts made with additive manufacturing, is difficult and it is almost impossible to optimize the compositional space for an absolute targeted value of thermal conductivity. To address these difficulties, a machine learning method is explored to predict the TC of additive manufactured alloys. To accomplish this, an extensive thermal conductivity dataset for additively manufactured alloys was generated for several AM alloy families (nickel, …

The Standard For Assessing Water Resistance Properties Of Lubricating Grease Using Contact Angle Measurements, Koottaparambil Lijesh, Roger A. Miller, Raj Shah, Khosro Shirvani, Michael M. Khonsari

Faculty Publications

Many grease-lubricated machines operate in wet environments, and are vulnerable to contamination because of water exposure. Reports suggest that even the presence of 1% water in grease reduces the life of a bearing by 90%. Nevertheless, only a few qualitative tests and standards are available to characterize the water resistance properties of greases. In this paper, we propose a standard for evaluating the water resistance properties of greases by studying their hydrophobic and hydrophilic nature via a custom-designed apparatus for measuring the grease contact angle. In this approach, a water droplet is dispensed onto the surface of the grease and …

In Situ Prediction Of Metal Fatigue Life Using Frequency Change, Ali Mahmoudi, Mohammad A. Amooie, Lijesh Koottaparambil, Michael M. Khonsari

Faculty Publications

A reliable technique for rapid prediction of the remaining useful life (RUL) of components experiencing fatigue degradation is introduced. The approach is based on measuring the temperature signature of a component upon rapidly changing its operating frequency for a short period of time. The temperature variations caused by alterations in plastic work rate are correlated to the loading history. The efficacy of the approach is investigated by conducting a series of axial fatigue tests on stainless steel 316 specimens. The material characterization involves subjecting the material to a constant amplitude fatigue load at 4 Hz and 12 Hz frequencies. The …

Coupled Wellbore-Reservoir Modelling To Evaluate Co2 Injection Rate Distribution Over Thick Multilayer Storage Zones, Mohamed Abdelaal, Mehdi Zeidouni

Faculty Publications

Technical and economic feasibility of Geologic CO2 Storage (GCS) projects requires maximizing the amount of stored CO2 per unit pore space of the storage zone per well. Considering injection through a fully penetrating vertical well in a multi-layer thick aquifer, CO2 would be unevenly distributed over the aquifer thickness, underutilizing the available pore space. In this work, we use coupled wellbore-reservoir modelling to investigate the interplay between the parameters that control CO2 pore-space filling. Flow capacity profile and gravity/buoyancy override are the primary factors controlling CO2 flux into a layered system. In addition, a higher fraction of CO2 would flow …

Deconstructing The Software Factory: A Practical Application Of Interorganizational Network Analysis, Zachary O. Ryan, Mark Reith, Clay Koschnick

Faculty Publications

Over the past 5 years, the number of DoD software organizations that employ nontraditional organizational structures has increased. These organizations, commonly referred to as software factories, often employ the network-based organizational structures found within high-technology industries. This article details ways in which network analysis techniques can be used to create a big picture view of these nontraditional organizations. Drawing on methodologies employed by network researchers, the authors develop and present an interorganizational analysis process that highlights a program's social and economic structures. Following the case history approach, they demonstrate the applicability of this approach by analyzing an emergent DoD software …

Geographic Differences In The Magnitude Of Black-White Disparities In Having Obesity, Steven A. Cohen, Monique J. Brown, Furong Xu, Caitlin C. Nash, Mary L. Greaney

Faculty Publications

Background

Obesity disparities in the United States are well documented, but the limited body of research suggests that geographic factors may alter the magnitude of these disparities. A growing body of evidence has identified a “rural mortality penalty” where morbidity and mortality rates are higher in rural than urban areas, even after controlling for other factors. Black-White differences in health and mortality are more pronounced in rural areas than in urban areas.

Objective

Therefore, the purpose of this study was to explore how rural-urban status and region moderate Black-White health disparities in obesity.

Methods

Data were abstracted from the 2012 …

Understanding Commitment Of Local Food Banks, Faith-Based Organizations, And Schools To Provide Nongovernment Food Programs, Eliza M. Fishbein, Edward A. Frongillo Ph.D., Sharraf Samin, Audrey L. Richards, Christine E. Blake Ph.D., Rd, Ruth P. Saunders, Cheri J. Shapiro

Faculty Publications

Background: Nongovernment food assistance is typically provided to families by faith-based organizations, schools, and food banks. Community organizations appear to be strongly committed to these programs, but little is known about the basis for this commitment. Objectives: The aim of this study was to examine the values and identities of community organizations to understand the reasons for their commitment to providing nongovernment food assistance. Methods: Thirty-three in-depth interviews were conducted with 36 leaders at faith-based organizations (19 participants), schools (14 participants), and a local food bank (3 participants) in South Carolina. Observations were made, and informational documents (e.g., flyers and …

Lightning Forecast From Chaotic And Incomplete Time Series Using Wavelet De-Noising And Spatiotemporal Kriging, Jared K. Nystrom, Raymond Hill, Andrew J. Geyer, Joseph J. Pignatiello Jr., Eric Chicken

Faculty Publications

Purpose: Present a method to impute missing data from a chaotic time series, in this case lightning prediction data, and then use that completed dataset to create lightning prediction forecasts.

Design/Methodology/Approach: Using the technique of spatiotemporal kriging to estimate data that is autocorrelated but in space and time. Using the estimated data in an imputation methodology completes a dataset used in lighting prediction.

Findings: The techniques provided prove robust to the chaotic nature of the data, and the resulting time series displays evidence of smoothing while also preserving the signal of interest for lightning prediction.

Abstract © Emerald Publishing …

Conservative Estimation Of Inertial Sensor Errors Using Allan Variance Data, Kyle A. Lethander, Clark N. Taylor

Faculty Publications

To understand the error sources present in inertial sensors, both the white (time-invariant) and correlated noise sources must be properly characterized. To understand both sources, the standard approach (IEEE standards 647-2006, 952-2020) is to compute the Allan variance of the noise and then use human-based interpretation of linear trends to estimate the separate noise sources present in a sensor. Recent work has sought to overcome the graphical nature and visual-inspection basis of this approach leading to more accurate noise estimates. However, when using noise characterization in a filter, it is important that the noise estimates be not only accurate but …

Integrating Clinical Cancer And Ptm Proteomics Data Identifies A Mechanism Of Ack1 Kinase Activation, Eranga R. Balasooriya, Deshan Madhusanka, Tania P. López-Palacios, Riley J. Eastmond, Dasun Jayatunge, Jake J. Owen, Jack S. Gashler, Christina M. Egbert, Chanaka Bulathsinghalage, Lu Liu, Stephen R. Piccolo, Joshua L. Andersen

Faculty Publications

Beyond the most common oncogenes activated by mutation (mut-drivers), there likely exists a variety of low-frequency mut-drivers, each of which is a possible frontier for targeted therapy. To identify new and understudied mut-drivers, we developed a machine learning (ML) model that integrates curated clinical cancer data and posttranslational modification (PTM) proteomics databases. We applied the approach to 62,746 patient cancers spanning 84 cancer types and predicted 3,964 oncogenic mutations across 1,148 genes, many of which disrupt PTMs of known and unknown function. The list of putative mut-drivers includes established drivers and others with poorly understood roles in cancer. This ML …