Social and Behavioral Sciences Commons^™

The Brass Plates In Context: A Book Of Mormon Backstory, Noel B. Reynolds

Faculty Publications

This paper brings contemporary ANE scholarship in several fields together with the ancient scriptures restored through Joseph Smith to construct an updated starting point for interpretation of the teachings of the Book of Mormon. It assembles findings from studies of ancient scribal culture, historical linguistics and epigraphy, and the history and archaeology of Mesopotamia, Egypt, and the Levant, together with the traditions of ancient Israel and the ancient scriptures restored to Joseph Smith, to construct a contextualized perspective for understanding Lehi, Nephi, and the Brass Plates as they would have been understood by their contemporaries—as prominent bearers of the Josephite …

Odt Flow: Extracting, Analyzing, And Sharing Multi-Source Multi-Scale Human Mobility, Zhenlong Li, Xiao Huang, Tao Hu, Huan Ning, Xinyue Ye, Binghu Huang, Xiaoming Li

Faculty Publications

In response to the soaring needs of human mobility data, especially during disaster events such as the COVID-19 pandemic, and the associated big data challenges, we develop a scalable online platform for extracting, analyzing, and sharing multi-source multi-scale human mobility flows. Within the platform, an origin-destination-time (ODT) data model is proposed to work with scalable query engines to handle heterogenous mobility data in large volumes with extensive spatial coverage, which allows for efficient extraction, query, and aggregation of billion-level origin-destination (OD) flows in parallel at the server-side. An interactive spatial web portal, ODT Flow Explorer, is developed to allow users …

Spatial Disparities Of Covid-19 Cases And Fatalities In United States Counties, Sarah L. Jackson, Sahar Derakhshan, Leah Blackwood, Logan Lee, Qian Huang, Margot Habets, Susan L. Cutter

Faculty Publications

This paper examines the spatial and temporal trends in county-level COVID-19 cases and fatalities in the United States during the first year of the pandemic (January 2020–January 2021). Statistical and geospatial analyses highlight greater impacts in the Great Plains, Southwestern and Southern regions based on cases and fatalities per 100,000 population. Significant case and fatality spatial clusters were most prevalent between November 2020 and January 2021. Distinct urban–rural differences in COVID-19 experiences uncovered higher rural cases and fatalities per 100,000 population and fewer government mitigation actions enacted in rural counties. High levels of social vulnerability and the absence of mitigation …

“Covid-19 Hospital Isolation Affects More Than Just The Sick”, Lisa M. Tillmann Ph.D.

Faculty Publications

The author faces total hip replacement amid COVID-19 restrictions, politics, and disinformation.

Using Mobile Device Data To Track The Effects Of The Covid-19 Pandemic On Spatiotemporal Patterns Of National Park Visitation, John A. Kupfer, Zhenlong Li, Huan Ning, Xiao Huang

Faculty Publications

Effective quantification of visitation is important for understanding many impacts of the COVID-19 pandemic on national parks and other protected areas. In this study, we mapped and analyzed the spatiotemporal patterns of visitation for six national parks in the western U.S., taking advantage of large mobility records sampled from mobile devices and released by SafeGraph as part of their Social Distancing Metric dataset. Based on comparisons with visitation statistics released by the U.S. National Park Service, our results confirmed that mobility records from digital devices can effectively capture park visitation patterns but with much finer spatiotemporal granularity. In general, triggers …

Executive Functioning, Caregiver Monitoring, And Medication Adherence Over Time In Adolescents With Chronic Kidney Disease, Cyd K. Eaton, Kara Mcrae Duraccio, Michelle N. Eakin, Tammy M. Brady, Cozumel S. Pruette, Thomas Eckmann, Susan R. Mendley, Shamir Tuchman, Barbara A. Fivush, Kristen A. Riekert

Faculty Publications

Objective: To evaluate associations between executive functioning and caregiver adherence monitoring with objective antihypertensive medication adherence over 24 months in adolescents with chronic kidney disease (CKD).

Methods: Adolescents (N = 97, 11–20 years old) with CKD taking antihypertensive medication and their caregivers were recruited from three pediatric nephrology clinics. At baseline, adolescents and caregivers reported on adolescents’ executive functioning and caregivers reported on their adherence monitoring. Antihypertensive medication adherence was objectively assessed via electronic monitoring at baseline and every 6 months after for 24 months. Associations between executive functioning, caregiver monitoring, and longitudinal adherence were evaluated with linear mixed models. …

Using Generalizability Theory And The Erp Reliability Analysis (Era) Toolbox For Assessing Test-Retest Reliability Of Erp Scores Part 1: Algorithms, Framework, And Implementation, Scott A. Baldwin, Peter E. Clayson, Kalie A. Carbine, Joseph A. Olsen, Michael J. Larson

Faculty Publications

The reliability of event-related brain potential (ERP) scores depends on study context and how those scores will be used, and reliability must be routinely evaluated. Many factors can influence ERP score reliability; generalizability (G) theory provides a multifaceted approach to estimating the internal consistency and temporal stability of scores that is well suited for ERPs. G theory's approach possesses a number of advantages over classical test theory that make it ideal for pinpointing sources of error in observed scores. The current primer outlines the G-theory approach to estimating internal consistency (coefficients of equivalence) and test-retest reliability (coefficients of stability). This …

On The Relationship Between Frequency, Features, And Markedness In Inflection: Experimental Evidence From Russian Nouns, Jeffrey R. Parker

Faculty Publications

Markedness has a long tradition in linguistics as a way to describe linguistic asymmetries. In this paper, I investigate an argument about the necessity of markedness as a tool for capturing the structural distribution of inflectional affixes and predicting the behavioral consequences of that distribution. Based on evidence from German adjectives, Clahsen et al. argue that the number of specified features of inflectional affixes (which I argue represents a type of markedness) affects reaction times in lexical access. Affixes’ features, however, overlap with how frequently they occur. Clahsen et al. investigate only three affixes in German, leaving open questions about …

Measuring Global Multi-Scale Place Connectivity Using Geotagged Social Media Data, Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Yago Martin, Huan Ning, Michael E. Hodgson, Xiaoming Li

Faculty Publications

Shaped by human movement, place connectivity is quantified by the strength of spatial interactions among locations. For decades, spatial scientists have researched place connectivity, applications, and metrics. The growing popularity of social media provides a new data stream where spatial social interaction measures are largely devoid of privacy issues, easily assessable, and harmonized. In this study, we introduced a global multi-scale place connectivity index (PCI) based on spatial interactions among places revealed by geotagged tweets as a spatiotemporal-continuous and easy-to-implement measurement. The multi-scale PCI, demonstrated at the US county level, exhibits a strong positive association with SafeGraph population movement records …

Resettlement Capacity Assessments For Climate Induced Displacements: Evidence From Ethiopia, Solomon Zena Walelign, Susan L. Cutter, Paivi Lujala

Faculty Publications

Climate change migration is increasing and necessitates a re-examination of resettlement planning and processes. Although evidence-based selection of host places would improve climate change resettlement outcomes, few methods for the selection of host communities exist. Consequently, the information base on which most resettlement programs select a host place is often inadequate. This article proposes an empirical methodology to assess resettlement capacity. The methodology uses a hierarchical aggregation approach, where resettlement capacity indicator values are aggregated first into sub-dimension resettlement capacity scores, then further into dimension resettlement capacity scores, and finally into an overall resettlement capacity index. The aggregation allows for …

An Operational Overview Of The Export Processes In The Ocean From Remote Sensing (Exports) Northeast Pacific Field Deployment, David A. Siegel, Ivona Cetinić, Jason R. Graff, Craig M. Lee, Norman Nelson, Mary Jane Perry, Inia Soto Ramos, Deborah K. Steinberg, Ken Buesseler, Roberta Hamme, Andrea J. Fassbender, David Nicholson, Melissa M. Omand, Marie Robert, Andrew Thompson, Vinicius Amaral, Michael Behrenfeld, Claudia Benitez-Nelson, Kelsey Bisson, Emmanuel Boss, Philip W. Boyd, Mark Brzezinski, Kristen Buck

Faculty Publications

The goal of the EXport Processes in the Ocean from RemoTe Sensing (EXPORTS) field campaign is to develop a predictive understanding of the export, fate, and carbon cycle impacts of global ocean net primary production. To accomplish this goal, observations of export flux pathways, plankton community composition, food web processes, and optical, physical, and biogeochemical (BGC) properties are needed over a range of ecosystem states. Here we introduce the first EXPORTS field deployment to Ocean Station Papa in the Northeast Pacific Ocean during summer of 2018, providing context for other papers in this special collection. The experiment was conducted with …

Analyzing Satellite Ocean Color Match-Up Protocols Using The Satellite Validation Navy Tool (Savant) At Moby And Two Aeronet-Oc Sites, Adam Lawson, Jennifer Bowers, Sherwin Ladner, Richard Crout, Christopher Wood, Robert Arnone, Paul Martinolich, David Lewis

Faculty Publications

The satellite validation navy tool (SAVANT) was developed by the Naval Research Laboratory to help facilitate the assessment of the stability and accuracy of ocean color satellites, using numerous ground truth (in situ) platforms around the globe and support methods for match-up protocols. The effects of varying spatial constraints with permissive and strict protocols on match-up uncertainty are evaluated, in an attempt to establish an optimal satellite ocean color calibration and validation (cal/val) match-up protocol. This allows users to evaluate the accuracy of ocean color sensors compared to specific ground truth sites that provide continuous data. Various match-up constraints may …

Is The United States ‘Exceptional’?, Wayne A. Selcher

Faculty Publications

Debates over issues of national identity have been constants in American history, up to and including today, with the Civil War being the most notable and violent example of serious disagreement about national identity and unity. There are many interpretations of how the country came to be, what its defining characteristics are, and how factual or merely self-congratulatory the elements of the nationalistic claims of exceptionality really were or are now. Like any nationalistic tenet, the exceptionality thesis certainly requires a deliberatively selective and incomplete understanding of the national history. Whole university courses and disciplines of study in American Studies …

Ugandan Adolescents’ Descriptive Gender Stereotypes About Domestic And Recreational Activities, And Attitudes About Women, Flora Farago, Natalie Eggum-Wilkens, Linlin Zhang

Faculty Publications

In Eastern Uganda, 201 adolescents aged 11- to 17-years old (48% girls; M_age = 14.62) answered close- and open-ended questions about gender stereotypes of domestic and recreational activities and gender-role attitudes about women’s behavior, rights, and roles. Adolescents answered questions such as “who is more likely to . . .?” assessing descriptive stereotypes (i.e., stereotype knowledge) and questions such as “is it ok for women to . . .?” assessing prescriptive stereotypes (i.e., stereotype endorsement) about gender roles. Data were analyzed via descriptive statistics, correlations, and thematic coding. Findings indicate that Ugandan adolescents were fairly egalitarian in some domains …

Investigating Developmental Changes In Scalp-To-Cortex Correspondence Using Diffuse Optical Tomography Sensitivity In Infancy, Xiaoxue Fu, John E. Richards

Faculty Publications

Significance: Diffuse optical tomography (DOT) uses near-infrared light spectroscopy (NIRS) to measure changes in cerebral hemoglobin concentration. Anatomical interpretations of NIRS data require accurate descriptions of the cranio-cerebral relations and DOT sensitivity to the underlying cortical structures. Such information is limited for pediatric populations because they undergo rapid head and brain development.

Aim: We aim to investigate age-related differences in scalp-to-cortex distance and mapping between scalp locations and cortical regions of interest (ROIs) among infants (2 weeks to 24 months with narrow age bins), children (4 and 12 years), and adults (20 to 24 years).

Approach: We …

A Systematic Literature Review Of Sexual Harassment Studies With Text Mining, Amir Karami, Melek Yildiz Spinel, Nicole White, Kayla Ford, Suzanne Swan

Faculty Publications

Sexual harassment has been the topic of thousands of research articles in the 20th and 21st centuries. Several review papers have been developed to synthesize the literature about sexual harassment. While traditional literature review studies provide valuable insights, these studies have some limitations including analyzing a limited number of papers, being time-consuming and labor-intensive, focusing on a few topics, and lacking temporal trend analysis. To address these limitations, this paper employs both computational and qualitative approaches to identify major research topics, explore temporal trends of sexual harassment topics over the past few decades, and point to future possible directions in …

Age-Related Changes In Diffuse Optical Tomography Sensitivity Profiles In Infancy, Xiaoxue Fu, John E. Richards

Faculty Publications

Diffuse optical tomography uses near-infrared light spectroscopy to measure changes in cerebral hemoglobin concentration. Anatomical interpretations of the location that generates the hemodynamic signal requires accurate descriptions of diffuse optical tomography sensitivity to the underlying cortical structures. Such information is limited for pediatric populations because they undergo rapid head and brain development. The present study used photon propagation simulation methods to examine diffuse optical tomography sensitivity profiles in realistic head models among infants ranging from 2 weeks to 24 months with narrow age bins, children (4 and 12 years) and adults (20 to 24 years). The sensitivity profiles changed systematically …

S-Equol Mitigates Motivational Deficits And Dysregulation Associated With Hiv-1, Kristen A. Mclaurin, Sarah J. Bertrand, Jessica M. Illenberger, Steven B. Harrod, Charles F. Mactutus, Rosemarie M. Booze

Faculty Publications

Motivational deficits (e.g., apathy) and dysregulation (e.g., addiction) in HIV-1 seropositive individuals, despite treatment with combination antiretroviral therapy, necessitates the development of innovative adjunctive therapeutics. S-Equol (SE), a selective estrogen receptor beta agonist, has been implicated as a neuroprotective and/or neurorestorative therapeutic for HIV-1 associated neurocognitive disorders (HAND); its therapeutic utility for motivational alterations, however, has yet to be systematically evaluated. Thus, HIV-1 transgenic (Tg) and control animals were treated with either a daily oral dose of SE (0.2 mg) or vehicle and assessed in a series of tasks to evaluate goal-directed and drug-seeking behavior. First, at the genotypic level, …

Moderating Effects Of Parental Feeding Practices And Emotional Eating On Dietary Intake Among Overweight African American Adolescents, Mary Quattlebaum, Dawn K. Wilson-King, Allison M. Sweeney, Nicole Zarrett

Faculty Publications

This study examined the effects of parental feeding practices and adolescent emotional eating (EE) on dietary outcomes among overweight African American adolescents. Based on Family Systems Theory, it was hypothesized that parental feeding practices, such as parental monitoring and responsibility, would buffer the effects of EE on poor dietary quality, whereas practices such as concern about a child’s weight, restriction, and pressure-to-eat would exacerbate this relationship. Adolescents (N = 127; Mage = 12.83 ± 1.74; MBMI% = 96.61 ± 4.14) provided baseline data from the Families Improving Together (FIT) for Weight Loss trial and an ancillary study. Dietary outcomes (fruit …

The Impact Of Climate Change On Virginia's Coastal Areas, Jonathan L. Goodall, Antonio Elias, Elizabeth Andrews, Christopher "Kit" Chope, John Cosgrove, Jason El Koubi, Jennifer Irish, Lewis L. Lawrence Iii, Robert W. Lazaro Jr., William H. Leighty, Mark W. Luckenbach, Elise Miller-Hooks, Ann C. Phillips, Henry Pollard V, Emily Steinhilber, Charles Feigenoff, Jennifer Sayegh

Faculty Publications

As part of HJ47/SJ47 (2020), the Virginia General Assembly directed the Joint Commission on Technology and Science (JCOTS) to study the “safety, quality of life, and economic consequences of weather and climate-related events on coastal areas in Virginia.” In pursuit of this goal, the commission was to “accept any scientific and technical assistance provided by the nonpartisan, volunteer Virginia Academy of Science, Engineering, and Medicine (VASEM). VASEM convened an expert study board with representation from the Office of the Governor, planning district commissions in coastal Virginia, The Port of Virginia, the Virginia Economic Development Partnership, state universities, private industry, and …

Per-Pixel Cloud Cover Classification Of Multispectral Landsat-8 Data, Salome E. Carrasco [*], Torrey J. Wagner, Brent T. Langhals

Faculty Publications

Random forest and neural network algorithms are applied to identify cloud cover using 10 of the wavelength bands available in Landsat 8 imagery. The methods classify each pixel into 4 different classes: clear, cloud shadow, light cloud, or cloud. The first method is based on a fully connected neural network with ten input neurons, two hidden layers of 8 and 10 neurons respectively, and a single-neuron output for each class. This type of model is considered with and without L2 regularization applied to the kernel weighting. The final model type is a random forest classifier created from an ensemble of …

Louisiana Digital Library Collections As Data Outro Survey: Selected Survey Results To Support Reports And Publications, Sl Ziegler, Leah Powell Duncan, Elizabeth Joan Kelly

Faculty Publications

Selected survey results pertaining to the effectiveness of the Louisiana Digital Library Collections as Data grant deliverables.

Spiritual Well-Being - A Proactive Resilience Component: Exploring Its Relationship With Practices, Themes, And Other Psychological Well-Being Factors During The Covid-19 Pandemic In Cism-Trained First Responders, Justine Jaeger, Harvey J. Burnett Jr., Kristen R. Witzel

Faculty Publications

Research suggests spiritual resilience may ameliorate the negative effects of exposure to traumatic events among disaster mental health first responders. Our study examined the relationship between spiritual wellness and associated resilience factors among four groups of first responders (law enforcement, fire services, emergency medical services and 911 dispatchers) trained in Critical Incident Stress Management (CISM) during a global pandemic. Utilizing a mixed methods-survey with transcendental phenomenological design, data was collected from 107 participants with membership in the International Critical Incident Stress Foundation (ICISF) or the Michigan Crisis Response Association (MCRA). Participants completed the Connor-Davidson Resilience Scale, Spiritual Well-Being Scale-Shortened Version, …

Manipulations Of List Type In The Drm Paradigm: A Review Of How Structural And Conceptual Similarity Affect False Memory, Jennifer H. Coane, Dawn M. Mcbride, Mark J. Huff, Kai Chang, Elizabeth M. Marsh, Kendal A. Smith

Faculty Publications

The use of list-learning paradigms to explore false memory has revealed several critical findings about the contributions of similarity and relatedness in memory phenomena more broadly. Characterizing the nature of “similarity and relatedness” can inform researchers about factors contributing to memory distortions and about the underlying associative and semantic networks that support veridical memory. Similarity can be defined in terms of semantic properties (e.g., shared conceptual and taxonomic features), lexical/associative properties (e.g., shared connections in associative networks), or structural properties (e.g., shared orthographic or phonological features). By manipulating the type of list and its relationship to a non-studied critical item, …

Introduction To The Special Issue On Couples, Families, And Finance, Melissa A. Curran, Ashley B. Lebaron, Xiaomin Li, Casey J. Totenhagen

Faculty Publications

For the nine papers that appear in this special issue, we identified three main organizing themes: (1) Understudied aspects of family financial socialization, (2) Individuals or couples in different-sex romantic relationships, and (3) Finances and perceived parent–child relationships. In this introduction, we describe the main points of each of these papers within each theme. We also discuss what we have learned from these papers (e.g., finances assessed using eight different datasets; range of samples including adults repaying loans, newlywed couples, and a nationally representative sample of U.S. college students) as well as what future research questions remain (e.g., financial studies …

Year-Independent Prediction Of Food Insecurity Using Classical & Neural Network Machine Learning Methods, Caleb Christiansen, Torrey J. Wagner, Brent Langhals

Faculty Publications

Current food crisis predictions are developed by the Famine Early Warning System Network, but they fail to classify the majority of food crisis outbreaks with model metrics of recall (0.23), precision (0.42), and f1 (0.30). In this work, using a World Bank dataset, classical and neural network (NN) machine learning algorithms were developed to predict food crises in 21 countries. The best classical logistic regression algorithm achieved a high level of significance (p < 0.001) and precision (0.75) but was deficient in recall (0.20) and f1 (0.32). Of particular interest, the classical algorithm indicated that the vegetation index and the food price index were both positively correlated with food crises. A novel method for performing an iterative multidimensional hyperparameter search is presented, which resulted in significantly improved performance when applied to this dataset. Four iterations were conducted, which resulted in excellent 0.96 for metrics of precision, recall, and f1. Due to this strong performance, the food crisis year was removed from the dataset to prevent immediate extrapolation when used on future data, and the modeling process was repeated. The best “no year” model metrics remained strong, achieving ≥0.92 for recall, precision, and f1 while meeting a 10% f1 overfitting threshold on the test (0.84) and holdout (0.83) datasets. The year-agnostic neural network model represents a novel approach to classify food crises and outperforms current food crisis prediction efforts.

Suas For 3d Tree Surveying: Comparative Experiments On A Closed-Canopy Earthen Dam, Cuizhen Wang, Grayson R. Morgan, Michael E. Hodgson

Faculty Publications

Defined as “personal remote sensing”, small unmanned aircraft systems (sUAS) have been increasingly utilized for landscape mapping. This study tests a sUAS procedure of 3D tree surveying of a closed-canopy woodland on an earthen dam. Three DJI drones—Mavic Pro, Phantom 4 Pro, and M100/RedEdge-M assembly—were used to collect imagery in six missions in 2019–2020. A canopy height model was built from the sUAS-extracted point cloud and LiDAR bare earth surface. Treetops were delineated in a variable-sized local maxima filter, and tree crowns were outlined via inverted watershed segmentation. The outputs include a tree inventory that contains 238 to 284 trees …

Publishing Metrics In Arl Libraries, Cory L. Nimer

Faculty Publications

This presentation examines the applicability of bibliometrics for assessing the scholarship of faculty librarians at American research universities. This review includes a comparison of publication rates in academic disciplines and librarianship, as well as between areas within librarianship. It concludes by suggesting the importance of understanding disciplinary norms when considering using publishing statistics in retention, tenure, and promotion decisions.

Presentation was originally made at the Utah Library Association annual meeting in 2021.

Spatiotemporal Patterns Of Human Mobility And Its Association With Land Use Types During Covid-19 In New York City, Yuqin Jiang, Xiao Huang, Zhenlong Li

Faculty Publications

The novel coronavirus disease (COVID-19) pandemic has impacted every facet of society. One of the non-pharmacological measures to contain the COVID-19 infection is social distancing. Federal, state, and local governments have placed multiple executive orders for human mobility reduction to slow down the spread of COVID-19. This paper uses geotagged tweets data to reveal the spatiotemporal human mobility patterns during this COVID-19 pandemic in New York City. With New York City open data, human mobility pattern changes were detected by different categories of land use, including residential, parks, transportation facilities, and workplaces. This study further compares human mobility patterns by …

Effects Of Psychosocial Support Interventions On Survival In Inpatient And Outpatient Healthcare Settings: A Meta-Analysis Of 106 Randomized Controlled Trials, Connor Workman, Caleb Andrews, Bonnie Barton, Matthew Cook, Ryan Layton, Alexandra Morrey, Devin Petersen, Julianne Holt-Lunstad

Faculty Publications

Background

Hospitals, clinics, and health organizations have provided psychosocial support interventions for medical patients to supplement curative care. Prior reviews of interventions augmenting psychosocial support in medical settings have reported mixed outcomes. This meta-analysis addresses the questions of how effective are psychosocial support interventions in improving patient survival and which potential moderating features are associated with greater effectiveness.

Methods and findings

We evaluated randomized controlled trials (RCTs) of psychosocial support interventions in inpatient and outpatient healthcare settings reporting survival data, including studies reporting disease-related or all-cause mortality. Literature searches included studies reported January 1980 through October 2020 accessed from Embase, …