Digital Commons Network^™

Consensus Revisited: Quantifying Scientific Agreement On Climate Change And Climate Expertise Among Earth Scientists 10 Years Later, Krista F. Myers, Peter T. Doran, John Cook, John E. Kotcher, Teresa A. Myers

Faculty Publications

The scientific consensus on human-caused global warming has been a topic of intense interest in recent decades. This is in part due to the important role of public perception of expert consensus, which has downstream impacts on public opinion and support for mitigation policies. Numerous studies, using diverse methodologies and measures of climate expertise, have quantified the scientific consensus, finding between 90% and 100% agreement on human-caused global warming with multiple studies converging on 97% agreement. This study revisits the consensus among geoscientists ten years after an initial survey of experts, while exploring different ways to define expertise and the …

On The Need To Determine Accurately The Impact Of Higher-Order Sensitivities On Model Sensitivity Analysis, Uncertainty Quantification And Best-Estimate Predictions, Dan Gabriel Cacuci

Faculty Publications

This work aims at underscoring the need for the accurate quantification of the sensitivities (i.e., functional derivatives) of the results (a.k.a. “responses”) produced by large-scale computational models with respect to the models’ parameters, which are seldom known perfectly in practice. The large impact that can arise from sensitivities of order higher than first has been highlighted by the results of a third-order sensitivity and uncertainty analysis of an OECD/NEA reactor physics benchmark, which will be briefly reviewed in this work to underscore that neglecting the higherorder sensitivities causes substantial errors in predicting the expectation and variance of model responses. The …

Performance-Based Building System Manufacturer Selection Decision Framework For Integration Into Total Cost Of Ownership Evaluations, Sarah L. Brown, Steven J. Schuldt, Michael N. Grussing, Louis B. Bartels, Michael A. Johnson, Justin D. Delorit

Faculty Publications

Facility managers are often faced with building system procurement or replacement decisions, requiring them to select a system from among competitive manufacturers. Total cost of ownership (TCO) criteria, informed by built assets in operation in the manager’s portfolio, provides some information to select the right asset manufacturer. However, managers must also consider technical performance to complete a more comprehensive analysis. Performance can be calculated using asset parameters like condition, age, and variation in condition to aid in TCO assessments. Leveraging past research and approaches, performance is calculated using an additive model that scales each parameter using a standard normalization technique …

Interview On Social Justice, Hyveth Williams, Willie Edward Hucks Ii

Faculty Publications

No abstract provided.

Preaching Social Justice, Hyveth Williams

Faculty Publications

No abstract provided.

Biblical Hermeneutical Principles Dealing With Race, Racism And Social Justice Issues, Jiří Moskala

Faculty Publications

Many modern problems arise from the misinterpretation of the Bible, unfortunately. One of my best Church History teachers Amadeo Molnár at the Protestant Faculty in Prague told us: “The history of the Christian Church is the history of the interpretation of the Bible.” At first, I doubted this statement’s truth, but after some reflections, I understood. Divisions were created and wars were fought because of certain dogmas, and millions were tortured, killed, or enslaved due to specific ideologies and wrong belief systems by believers. So many atrocities were committed in the name of God!

High-Order Deterministic Sensitivity Analysis And Uncertainty Quantification: Review And New Developments, Dan Gabriel Cacuci

Faculty Publications

This work reviews the state-of-the-art methodologies for the deterministic sensitivity analysis of nonlinear systems and deterministic quantification of uncertainties induced in model responses by uncertainties in the model parameters. The need for computing high-order sensitivities is underscored by presenting an analytically solvable model of neutron scattering in a hydrogenous medium, for which all of the response’s relative sensitivities have the same absolute value of unity. It is shown that the wider the distribution of model parameters, the higher the order of sensitivities needed to achieve a desired level of accuracy in representing the response and in computing the response’s expectation, …

Deep Underground Neutrino Experiment (Dune) Near Detector Conceptual Design Report, A. Abed Abud, B. Abi, R. Acciarri, M. A. Acero, G. Adamov, D. Adams, M. Adinolfi, A. Aduzskiewicz, Z. Ahmad, J. Ahmed, T. Alion, S. Alonso Monsalve, M. Alrashed, C. Alt, A. Alton, P. Amedo, J. Anderson, C. Andreopoulos, M. P. Andrews, F. Andrianala, Roberto Petti, Et. Al.

Faculty Publications

The Deep Underground Neutrino Experiment (DUNE) is an international, world-class experiment aimed at exploring fundamental questions about the universe that are at the forefront of astrophysics and particle physics research. DUNE will study questions pertaining to the preponderance of matter over antimatter in the early universe, the dynamics of supernovae, the subtleties of neutrino interaction physics, and a number of beyond the Standard Model topics accessible in a powerful neutrino beam. A critical component of the DUNE physics program involves the study of changes in a powerful beam of neutrinos, i.e., neutrino oscillations, as the neutrinos propagate a long distance. …

Intelligent Optimization Algorithm-Based Path Planning For A Mobile Robot, Qisong Song, Shaobo Li, Jing Yang, Qiang Bai, Jianjun Hu, Xingxing Zhang, Ansi Zhang

Faculty Publications

The purpose of mobile robot path planning is to produce the optimal safe path. However, mobile robots have poor real-time obstacle avoidance in local path planning and longer paths in global path planning. In order to improve the accuracy of real-time obstacle avoidance prediction of local path planning, shorten the path length of global path planning, reduce the path planning time, and then obtain a better safe path, we propose a real-time obstacle avoidance decision model based on machine learning (ML) algorithms, an improved smooth rapidly exploring random tree (S-RRT) algorithm, and an improved hybrid genetic algorithm-ant colony optimization (HGA-ACO). …

Recoverability For Optimized Quantum F-Divergences, Li Gao, Mark M. Wilde

Faculty Publications

The optimized quantum f -divergences form a family of distinguishability measures that includes the quantum relative entropy and the sandwiched R'enyi relative quasi-entropy as special cases. In this paper, we establish physically meaningful refinements of the data-processing inequality for the optimized f -divergence. In particular, the refinements state that the absolute difference between the optimized f -divergence and its channel-processed version is an upper bound on howwell one can recover a quantum state acted upon by a quantum channel, whenever the recovery channel is taken to be a rotated Petz recovery channel.Not only do these results lead to physically meaningful …

Introgression Of Maize Diversity For Drought Tolerance: Subtropical Maize Landraces As Source Of New Positive Variants, Pedro Augusto Medeiros Barbosa, Roberto Fritsche-Neto, Marcela Carvalho Andrade, César Daniel Petroli, Juan Burgueño, Giovanni Galli, Martha C. Willcox, Kai Sonder, Víctor A. Vidal-Martínez, Ernesto Sifuentes-Ibarra, Terence Luke Molnar

Faculty Publications

Current climate change models predict an increased frequency and intensity of drought for much of the developing world within the next 30 years. These events will negatively affect maize yields, potentially leading to economic and social instability in many smallholder farming communities. Knowledge about the genetic resources available for traits related to drought tolerance has great importance in developing breeding program strategies. The aim of this research was to study a maize landrace introgression panel to identify chromosomal regions associated with a drought tolerance index. For that, we performed Genome-Wide Association Study (GWAS) on 1326 landrace progenies developed by the …

Facial Expression Processing Of Children Orphaned By Parental Hiv/Aids: A Cross-Sectional Erp Study With Rapid Serial Visual Presentation, Qiong Zhao, Hui He, Huang Gu, Junfeng Zhao, Peilian Chi, Xiaoming Li Ph.D.

Faculty Publications

Existing behavioral studies have suggested that individuals with early life stress usually show abnormal emotional processing. However, limited event-related brain potentials (ERPs) evidence was available to explore the emotional processes in children orphaned by parental HIV/AIDS (“AIDS orphans”). The current study aims to investigate whether there are behavioral and neurological obstacles in the recognition of emotional faces in AIDS orphans and also to further explore the processing stage at which the difference in facial emotion recognition exists. A total of 81 AIDS orphans and 60 non-orphan children were recruited through the local communities and school systems in Henan, China. Participants …

Concussion History And Heart Rate Variability During Bouts Of Acute Stress, Adam Harrison, Abbi Lane-Cordova, Michael F. La Fountaine, Robert Davis Moore Ms, Ph.D.

Faculty Publications

Context

After a sport-related concussion, many athletes experience persisting neurophysiological alterations. These alterations may be absent at rest but emerge during moments of physiological stress. Unnoticed and untreated neurophysiological dysfunction may negatively affect long-term neurologic health in adolescent athletes, as they are at a critical point in development. Objective

To assess cardio-autonomic functioning in athletes with and those without a history of concussion by quantifying measures of heart rate variability (HRV) during times of physical and mental exertion. Design

Case-control study. Setting

Research laboratory. Patients or Other Participants

Thirty-four male Hockey Quebec Midget-AAA hockey players were separated into those with …

Agency: What Does It Mean To Be A Human Being?, Richard N. Williams, Edwin E. Gantt, Lane Fischer

Faculty Publications

This paper will look at the results of what has been termed “the crisis of modernism” and the related rise of postmodern perspectives in the 19th and 20th centuries. It concentrates on what is arguably the chief casualty of this crisis – human agency – and the social science that has developed out of the crisis. We argue that modern and postmodern social science ultimately obviate human agency in the understanding of what it means to be a human being. Attention is given to the contemporary intellectual world and the way in which it has been deeply informed by neo-Hegelian …

The Future Of Zoonotic Risk Prediction, Colin J. Carlson, Maxwell J. Farrell, Zoe Grange, Barbara A. Han, Nardus Mollentze, Alexandra L. Phelan, Angela L. Rasmussen, Gregory F. Albery, Bernard Bett, David M. Brett-Major, Lily E. Cohen, Tad Dallas, Evan A. Eskew, Anna C. Fagre, Kristian M. Forbes, Rory Gibb, Sam Halabi, Charlotte C. Hammer, Rebecca Katz, Jason Kindrachuk, Renata L. Muylaert, Felicia B. Nutter, Joseph Ogola, Kevin J. Olival, Michelle Rourke, Sadie J. Ryan, Noam Ross, Stephanie N. Seifert, Tarja Sironen, Claire J. Standley, Kishana Taylor, Marietjie Venter, Paul W. Webala

Faculty Publications

In the light of the urgency raised by the COVID-19 pandemic, global investment in wildlife virology is likely to increase, and new surveillance programmes will identify hundreds of novel viruses that might someday pose a threat to humans. To support the extensive task of laboratory characterization, scientists may increasingly rely on data-driven rubrics or machine learning models that learn from known zoonoses to identify which animal pathogens could someday pose a threat to global health. We synthesize the findings of an interdisciplinary workshop on zoonotic risk technologies to answer the following questions. What are the prerequisites, in terms of open …

Adolescent Victim Types Across The Popularity Status Hierarchy: Differences In Internalizing Symptoms, Sarah T. Malamut, Molly Dawes, Yvonne Van Den Berg, Tessa A.M. Lansu, David Schwartz, Antonius H.N. Cillessen

Faculty Publications

Previous studies have called attention to the fact that popular youth are not immune to peer victimization, suggesting there is heterogeneity in the popularity of victims. Yet, no study to date has determined whether victims with different levels of popularity status can be identified using person-oriented analysis. Such analysis is critically needed to confirm the existence of popular victims. Further, there remains a paucity of research on internalizing indices of such popular victims, especially compared to other victim and non-victim groups. To address this gap in the research literature, the current study used latent profile analysis to identify subgroups of …

Moving On Up: Vertical Distribution Shifts In Rocky Reef Fish Species During Climate-Driven Decline In Dissolved Oxygen From 1995 To 2009, Erin L. Meyer-Gutbrod, Li Kui, Mary Nishimoto, Linda Snook, Milton Love

Faculty Publications

Anthropogenic climate change has resulted in warming temperatures and reduced oxygen concentrations in the global oceans. Much remains unknown on the impacts of reduced oxygen concentrations on the biology and distribution of marine fishes. In the Southern California Channel Islands, visual fish surveys were conducted frequently in a manned submersible at three rocky reefs between 1995 and 2009. This area is characterized by a steep bathymetric gradient, with the surveyed sites Anacapa Passage, Footprint and Piggy Bank corresponding to depths near 50, 150 and 300 m. Poisson models were developed for each fish species observed consistently in this network of …

Cognition-Enhanced Machine Learning For Better Predictions With Limited Data, Florian Sense, Ryan Wood, Michael G. Collins, Joshua Fiechter, Aihua W. Wood, Michael Krusmark, Tiffany Jastrzembski, Christopher W. Myers

Faculty Publications

The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's primary concern is maximizing prediction accuracy; cognitive science's primary concern is explaining the underlying mechanisms. Cross-talk between these disciplines is limited, likely because the tasks and goals usually differ. The domain of e-learning and knowledge acquisition constitutes a fruitful intersection for the two fields’ methodologies to be integrated because accurately tracking learning and forgetting over time and predicting future performance based on learning histories are central to developing effective, personalized learning tools. Here, we show how a state-of-the-art ML model can …

Ligo's Quantum Response To Squeezed States, L. Mcculler, S. E. Dwyer, A. C. Green, Haocun Yu, K. Kuns, L. Barsotti, C. D. Blair, D. D. Brown, A. Effler, M. Evans, A. Fernandez-Galiana, P. Fritschel, V. V. Frolov, N. Kijbunchoo, G. L. Mansell, F. Matichard, N. Mavalvala, D. E. Mcclelland, T. Mcrae, A. Mullavey, D. Sigg, B. J.J. Slagmolen, M. Tse, T. Vo, R. L. Ward, C. Whittle, R. Abbott, C. Adams, R. X. Adhikari, A. Ananyeva, S. Appert, K. Arai, J. S. Areeda

Faculty Publications

Gravitational wave interferometers achieve their profound sensitivity by combining a Michelson interferometer with optical cavities, suspended masses, and now, squeezed quantum states of light. These states modify the measurement process of the LIGO, VIRGO and GEO600 interferometers to reduce the quantum noise that masks astrophysical signals; thus, improvements to squeezing are essential to further expand our gravitational view of the Universe. Further reducing quantum noise will require both lowering decoherence from losses as well more sophisticated manipulations to counter the quantum back-action from radiation pressure. Both tasks require fully understanding the physical interactions between squeezed light and the many components …

Gap-Filling Of 8-Day Terra Modis Daytime Land Surface Temperature In High-Latitude Cold Region With Generalized Additive Models (Gam), Dianfan Guo, Cuizhen Wang, Shuying Zang, Jinxi Hua, Zhenghan Lv, Yue Lin

Faculty Publications

Land surface temperature (LST) is a crucial parameter driving the dynamics of the thermal state on land surface. In high-latitude cold region, a long-term, stable LST product is of great importance in examining the distribution and degradation of permafrost under pressure of global warming. In this study, a generalized additive model (GAM) approach was developed to fill the missing pixels of the MODIS/Terra 8-day Land Surface Temperature (MODIS LST) daytime products with the ERA5 Land Skin Temperature (ERA5ST) dataset in a high-latitude watershed in Eurasia. Comparison at valid pixels revealed that the MODIS LST was 4.8–13.0 °C higher than ERA5ST, …

Isolating Detrital And Diagenetic Signals In Magnetic Susceptibility Records From Methane-Bearing Marine Sediments, Joel E. Johnson, Stephen C. Phillips, William C. Clyde, Liviu Giosan, Marta E. Torres

Faculty Publications

Volume-dependent magnetic susceptibility (κ) is commonly used for paleoenvironmental reconstructions in both terrestrial and marine sedimentary environments where it reflects a mixed signal between primary deposition and secondary diagenesis. In the marine environment, κ is strongly influenced by the abundance of ferrimagnetic minerals regulated by sediment transport processes. Post-depositional alteration by H₂S, however, can dissolve titanomagnetite, releasing reactive Fe that promotes pyritization and subsequently decreases κ. Here, we provide a new approach for isolating the detrital signal in κ and identifying intervals of diagenetic alteration of κ driven by organoclastic sulfate reduction (OSR) and the anaerobic oxidation of …

Small Studies, Big Decisions: The Role Of Pilot/Feasibility Studies In Incremental Science And Premature Scale-Up Of Behavioral Interventions, Michael William Beets, Lauren Von Klinggraeff, Robert G. Weaver, Bridget Ryan Armstrong, Sarah Burkart

Faculty Publications

Background: Careful consideration and planning are required to establish “sufficient” evidence to ensure an investment in a larger, more well-powered behavioral intervention trial is worthwhile. In the behavioral sciences, this process typically occurs where smaller-scale studies inform larger-scale trials. Believing that one can do the same things and expect the same outcomes in a larger-scale trial that were done in a smaller-scale preliminary study (i.e., pilot/feasibility) is wishful thinking, yet common practice. Starting small makes sense, but small studies come with big decisions that can influence the usefulness of the evidence designed to inform decisions about moving forward with a …

Functions Of Social Networks In Maternal Food Choice For Children In Mexico, Ligia I. Reyes, Edward A. Frongillo, Spencer Moore, Christine E. Blake, Wendy Gonzalez, Anabelle Bonvecchio

Faculty Publications

Food choice for children has important implications in establishing early-life dietary habits and preferences. Food choice for children has been studied as parent–child dyad dynamics, but little is known about the extended system of relationships in maternal food choice for children. The objective of this study was to understand the functions of mothers' social networks in the food choices that mothers make for their children ages 1 to 5 years old in rural Mexico. In-depth interviews were conducted with 46 participants in three rural communities. The interviews inquired about participants' child-feeding practices, personal and local beliefs about child feeding and …

Erratum: Searches For Continuous Gravitational Waves From Nine Young Supernova Remnants (Apj (2015) 813 (39) Doi: 10.1088/0004-637x/813/1/39), J. Aasi, B. P. Abbott, R. Abbott, T. Abbott, M. R. Abernathy, F. Acernese, K. Ackley, C. Adams, T. Adams, P. Addesso, R. X. Adhikari, V. Adya, C. Affeldt, M. Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, A. Ain, P. Ajith, Tiffany Z. Summerscales

Faculty Publications

Equation (7) of the published article (Aasi et al. 2015) is in error; it should read (Equation presented). The upper limits on ò presented in the published article are unaffected by this error. Equation (8) of the published article is in error; it should read (Equation presented) The upper limits on α presented in Figure 3 and Table 4 of the published article were computed incorrectly. The revised Figure 3 (bottom) shows the corrected upper limits on α for the G266.2-1.2 (Vela Jr.) wide search. The revised Table 4 is provided here. The correct lowest upper limit on α (quoted …

Maternal Resources For Care Are Associated With Child Growth And Early Childhood Development In Bangladesh And Vietnam, Sulochana Basnet, Edward A. Frongillo Jr., Phuong Hong Nguyen, Spencer Moore, Mandana Arabi

Faculty Publications

BACKGROUND:

Suboptimal child growth and development are significant problems in low- and middle-income countries. Maternal resources for care may help to improve growth and development. This study examined the association of maternal resources for care on child length, motor development and language development of children 12-23.9 months old.

METHODS:

We used baseline data from the Alive & Thrive household surveys collected in Bangladesh (n = 803) and Vietnam (n = 635). Resources for care were represented by maternal education, knowledge, height, well-nourishment, mental well-being, decision-making, employment, support in chores and perceived support. The regression analyses were adjusted for household wealth …

Dosimetric Validation Of A System To Treat Moving Tumors Using Scanned Ion Beams That Are Synchronized With Anatomical Motion, Michelle Lis, Wayne Newhauser, Marco Donetti, Moritz Wolf, Timo Steinsberger, Athena Paz, Christian Graeff

Faculty Publications

Purpose: The purpose of this study was to validate the dosimetric performance of scanned ion beam deliveries with motion-synchronization to heterogenous targets. Methods: A 4D library of treatment plans, comprised of up to 10 3D sub-plans, was created with robust and conventional 4D optimization methods. Each sub-plan corresponded to one phase of periodic target motion. The plan libraries were delivered to a test phantom, comprising plastic slabs, dosimeters, and heterogenous phantoms. This phantom emulated range changes that occur when treating moving tumors. Similar treatment plans, but without motion synchronization, were also delivered to a test phantom with a stationary target …

Concurrent Associations Between Expressive Language Ability And Independence In Adolescents And Adults With Fragile X Syndrome, Leonard Abbeduto, Jessica Klusek, Julie Lounds Taylor, Nadia Abdelnur, Nicole Sparapani, Angela John Thurman

Faculty Publications

BACKGROUND: Few individuals with fragile X syndrome (FXS) successfully meet adult normative expectations in education, employment, peer relations, and habitation, although there is within-syndrome variability in this regard. The primary goal of this study was to determine whether expressive language skills contribute to the capacity for independent functioning in adulthood even after controlling for nonverbal cognitive ability. METHODS: Participants were 18- to 23-year-olds with FXS. Expressive language was assessed using the psychometrically validated Expressive Language Sampling (ELS) conversation and narration procedures. The language produced was transcribed and analyzed to yield measures of expressive vocabulary, syntax, and intelligibility. Parents concurrently completed …

Urban Bat Pups Take After Their Mothers And Are Bolder And Faster Learners Than Rural Pups., Lee Harten, Nesim Gonceer, Michal Handel, Orit Dash, H. Bobby Fokidis, Yossi Yovel

Faculty Publications

Background: Urbanization is rapidly changing our planet and animals that live in urban environments must quickly adjust their behavior. One of the most prevalent behavioral characteristics of urban dwelling animals is an increased level of risk-taking. Here, we aimed to reveal how urban fruitbats become risk-takers, and how they differ behaviorally from rural bats, studying both genetic and non-genetic factors that might play a role in the process. We assessed the personality of newborn pups from both rural and urban colonies before they acquired experience outdoors, examining risk-taking, exploration, and learning rates.

Results: Urban pups exhibited significantly higher risk-taking levels, …

Comparative Value Of Cholinesterase Inhibitors And Memantine In Persons With Moderate-To-Severe Alzheimer’S Disease In The United States: A Cost-Effectiveness Analysis, Ismaeel Yunusa, Saud Alsahali, Amey Ranes, Tewodros Eguale

Faculty Publications

Background: Pharmacological treatment of Alzheimer's disease (AD) involves symptomatic improvement of cognition using cholinesterase inhibitors (ChEIs) and memantine. The cost-effectiveness of these medications will guide decision-makers in making judicious use of scarce healthcare resources, particularly during the advanced disease stages.

Objective: To evaluate the cost-effectiveness of ChEIs, memantine, and ChEI-memantine combinations in persons with moderate-to-severe AD from the US healthcare perspective.

Methods: This pharmacoeconomic evaluation study used a state-transition Markov cohort model to simulate the costs and effectiveness of ChEI-memantine combinations compared with monotherapies of ChEI (donepezil, galantamine and rivastigmine) and memantine in persons with moderate-to-severe AD over a lifetime …

Isotopic Evidence For Dominant Secondary Production Of Hono In Near-Ground Wildfire Plumes, Jiajue Chai, Jack E. Dibb, Bruce E. Anderson, Claire Bekker, Danielle E. Blum, Eric Heim, Carolyn E. Jordan, Emily E. Joyce, Jackson H. Kaspari, Hannah Munro, Wendell W. Walters, Meredith G. Hastings

Faculty Publications

Nitrous acid (HONO) is an important precursor to hydroxyl radical (OH) that determines atmospheric oxidative capacity and thus impacts climate and air quality. Wildfire is not only a major direct source of HONO, it also results in highly polluted conditions that favor the heterogeneous formation of HONO from nitrogen oxides (NOx= NO + NO2) and nitrate on both ground and particle surfaces. However, these processes remain poorly constrained. To quantitatively constrain the HONO budget under various fire and/or smoke conditions, we combine a unique dataset of field concentrations and isotopic ratios (15N / 14N and 18O / 16O) of NOx …