Digital Commons Network^™

School And Community Drivers Of Child Diets In Two Arab Cities: The Scale Protocol And Innovative Tools To Assess Children’S Food Environments, Hala Ghattas Ph.D., Zeina Jamaluddine, Aline Semaan, Nehmat El-Helou, Gloria Safadi, Tatiana Elghossain, Christelle Akl, Shady Elbassuoni, Ali Chalak, Jalila El Ati, The Scale Research Group

Faculty Publications

Background

In the context of the rapid nutrition transition experienced by middle-income countries of the Arab region, children and adolescent’s food choices and dietary behaviors are early risk factors for the development of non-communicable diseases. Assessment of factors influencing food choices among this age group is challenging and is usually based on self-reported data, which are prone to information and recall bias. As the popularity of technologies and video gaming platforms increases, opportunities arise to use these tools to collect data on variables that affect food choice, dietary intake, and associated outcomes. This protocol paper describes the SCALE study (School …

Sexual Stature Difference Fluctuations In Pre- And Post-Black Death London As An Indicator Of Living Standards, Emily J. Brennan, Sharon Dewitte

Faculty Publications

Objectives: The degree of sexual stature difference (SSD), the ratio of male to female height, is argued to be an indicator of living standards based on evidence that physical growth for males is more sensitive to environmental fluctuations. In a resource-poor environment, the degree of SSD is expected to be relatively low. The aim of this study is to comparatively assess SSD in medieval London in the context of repeated famine events and other environmental stressors before the Black Death (BD) and the improved living conditions that characterized the post-Black Death period.

Methods: To test the hypothesis that a poor …

Parochial Altruism And Political Ideology, Marilynn B. Brewer, Nancy R. Buchan, Orgul D. Ozturk, Gianluca Grimalda

Faculty Publications

Parochial altruism refers to the propensity to direct prosocial behavior toward members of one's own ingroup to a greater extent than toward those outside one's group. Both theory and empirical research suggest that parochialism may be linked to political ideology, with conservatives more likely than liberals to exhibit ingroup bias in altruistic behavior. The present study, conducted in the United States and Italy, tested this relationship in the context of the COVID-19 pandemic, assessing willingness to contribute money to charities at different levels of inclusiveness—local versus national versus international. Results indicated that conservatives contributed less money overall and were more …

Structure-Property Investigations In Urea Tethered Iodinated Triphenylamines, Muhammad Saddam Hossain, Fiaz Ahmed, Stavros G. Karakalos, Mark D. Smith, Namrata Pant, Sophya V. Garashchuk, Andrew B, Greytak, Pablo Docampo, Linda S. Shimizu

Faculty Publications

Herein, we report structural, computational, and conductivity studies on urea-directed self-assembled iodinated triphenylamine (TPA) derivatives. Despite numerous reports of conductive TPAs, the challenges of correlating their solid-state assembly with charge transport properties hinder the efficient design of new materials. In this work, we compare the assembled structures of a methylene urea bridged dimer of di-iodo TPA (1) and the corresponding methylene urea di-iodo TPA monomer (2) with a di-iodo mono aldehyde (3) control. These modifications lead to needle shaped crystals for 1 and 2 that are organized by urea hydrogen bonding, π⋯π stacking, I⋯I, and I⋯π interactions as determined by …

Scintillation Light Detection In The 6-M Drift-Length Protodune Dual Phase Liquid Argon Tpc, A. Abed, B. Abi, R. Acciarri, M. A. Acero, M. R. Adames, G. Adamov, M. Adamowski, D. Adams, M. Adinolfi, A. Aduszkiewicz, J. Aguilar, Z. Ahmad, J. Ahmed, B. Aimard, B. Ali-Mohammadzadeh, T. Alion, K. Allison, S. Alonso Monsalve, M. Alrashed, C. Alt, Roberto Petti, Sanjib R. Mishra Ph.D., Et. Al.

Faculty Publications

DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6×6×6 m³ liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019–2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected …

High-Throughput Computational Evaluation Of Lattice Thermal Conductivity Using An Optimized Slack Model, Guangzhao Qin, An Huang, Yinqiao Liu, Huimin Wang, Zhenzhen Qin, Xue Jiang, Jijun Zhao, Jianjun Hu, Ming Hu

Faculty Publications

High-throughput computational screening of materials with targeted thermal conductivity (κ) plays an important role in promoting the advancement of material design and enormous applications. The Slack model has been widely applied for the fast evaluation of κ with minimal time and resources, showing the potential capability of high-throughput screening of κ. However, after examining the Slack model on a large set of 353 materials, a huge discrepancy is found between the predicted κ and the correspondingly measured κ in experiments for some materials in addition to the generally overestimated κ by the Slack model. Thus, it is …

Retrospective Cohort Evaluating The Comparative Effectiveness Of Ceftaroline And Daptomycin As First-Line Therapies For Inpatient Treatment Of Diabetic Foot Infection In The United States Veterans Health Care System, Alyssa C. Eaves, Chengwen Teng Pharm.D., Ph.D., Kirk E. Evoy, Christopher R. Frei

Faculty Publications

Background Both ceftaroline and daptomycin are possible therapeutic options for diabetic foot infection (DFI) and both are active against methicillin-resistant Staphylococcus aureus (MRSA) infection; however, no previous studies have evaluated their efectiveness head-to-head.

Objective This study compared hospital readmission and mortality proportions among patients receiving ceftaroline fosamil or daptomycin for DFI.

Patients and Methods This was a retrospective cohort, comparative efectiveness study of adults (aged ≥ 18 years) admitted to United States Veterans Health Care System hospitals with a diagnosis code for DFI between 1 October 2010 and 30 September 2014 with an electronic order for ceftaroline or daptomycin as …

The Effect Of Social Exclusion On Trust Among Youth Orphaned By Hiv/Aids: Evidence From An Event-Related Potentials Study, Jiaojiao Wan, Qi Zhao, Yafei Zhang, Lili Ji, Junfeng Zhao, Shan Qiao Ph.D., Xiaoming Li Ph.D.

Faculty Publications

Grounded in a follow-up study among children who lost one or both parents to HIV in central China in the early 2000s, we conducted an event-related potentials (ERPs) experiment to explore the effect of social exclusion on trust and the corresponding neurophysiological mechanism among youth orphaned by HIV/AIDS (“AIDS orphans”). A sample of 31 AIDS orphans (26.16 ± 3.34 years old; 15 female) and 32 age and development status matched controls (25.02 ± 3.45 years old; 14 female) participated in the study. They were all assigned to play Cyberball, a virtual ball-tossing game that reliably induced social exclusion (15 orphans, …

Predicting Pavement Structural Condition Using Machine Learning Methods, Nazmus Sakib Ahmed, Nathan Huynh, Sarah Gassman, Robert Mullen, Charles Pierce, Yuche Chen

Faculty Publications

State departments of transportation recognize the need to incorporate pavement structural condition in their pavement performance models and/or decision processes used to select candidate projects for preservation, rehabilitation, or reconstruction at the network level. However, pavement structural condition data are costly to obtain. To this end, this paper develops and evaluates the effectiveness of two machine learning methods, Random Forest (RF) and eXtreme Gradient Boosting (XGBoost), for predicting a flexible pavement’s structural condition. The aim is to be able to predict whether a pavement section’s structural condition is poor or not based on Annual Average Daily Traffic (AADT), truck percentage, …

Three Dimensions Of Covid-19 Risk Perceptions And Their Socioeconomic Correlates In The United States: A Social Media Analysis, Shan Qiao Ph.D., Zhenlong Li Ph.D., Chen Liang Ph.D., Xiaoming Li Ph.D., Caroline Rudisill Ph.D.

Faculty Publications

Social media analysis provides an alternate approach to monitoring and understanding risk perceptions regarding COVID-19 over time. Our current understandings of risk perceptions regarding COVID-19 do not disentangle the three dimensions of risk perceptions (perceived susceptibility, perceived severity, and negative emotion) as the pandemic has evolved. Data are also limited regarding the impact of social determinants of health (SDOH) on COVID-19-related risk perceptions over time. To address these knowledge gaps, we extracted tweets regarding COVID-19-related risk perceptions and developed indicators for the three dimensions of risk perceptions based on over502 million geotagged tweets posted by over 4.9 million Twitter users …

Three Dimensions Of Covid-19 Risk Perceptions And Their Socioeconomic Correlates In The United States: A Social Media Analysis, Shan Qiao, Zhenlong Li, Caroline Rudsill

Faculty Publications

Social media analysis provides an alternate approach to monitoring and understanding risk perceptions regarding COVID-19 over time. Our current understandings of risk perceptions regarding COVID-19 do not disentangle the three dimensions of risk perceptions (perceived susceptibility, perceived severity, and negative emotion) as the pandemic has evolved. Data are also limited regarding the impact of social determinants of health (SDOH) on COVID-19-related risk perceptions over time. To address these knowledge gaps, we extracted tweets regarding COVID-19-related risk perceptions and developed indicators for the three dimensions of risk perceptions based on over 502 million geotagged tweets posted by over 4.9 million Twitter …

Too Much Of A Good Thing? A Governing Knowledge Commons Review Of Abundance In Context, Brett M. Frischmann, Michael J. Madison, Madelyn R. Sanfilippo, Katherine J. Strandburg

Faculty Publications

The economics of abundance, along with the sociology of abundance, the law of abundance, and so forth, should be re-framed, linked, and situated in a common context for empirical rather than conceptual research. Abundance may seem to be a new, big thing, between anxiety over information overload, Big Data, and related technological disruptions. But scholars know that abundance is an ancient phenomenon, which only seemed to disappear as twentieth century social science focused on scarcity instead. Restoring the study of abundance, and figuring out how to solve the problems that abundance might create, means shedding disciplinary blinders and going back …

An Acoustofluidic Scanning Nanoscope Using Enhanced Image Stacking And Processing, Geonsoo Jin, Joseph Rich, Jianping Xia, Albert J. He, Chenglong Zhao, Tony Jun Huang

Faculty Publications

Nanoscale optical resolution with a large field of view is a critical feature for many research and industry areas, such as semiconductor fabrication, biomedical imaging, and nanoscale material identification. Several scanning microscopes have been developed to resolve the inverse relationship between the resolution and field of view; however, those scanning microscopes still rely upon fluorescence labeling and complex optical systems. To overcome these limitations, we developed a dual-camera acoustofluidic nanoscope with a seamless image merging algorithm (alpha-blending process). This design allows us to precisely image both the sample and the microspheres simultaneously and accurately track the particle path and location. …

Optimised Adjoint Sensitivity Analysis Using Adjoint Guided Mesh Adaptivity Applied To Neutron Detector Response Calculations, Andrew G. Buchan, Dan Gabriel Cacuci, Steven Dargaville, Christopher C. Pain

Faculty Publications

This article presents a new approach for the efficient calculation of sensitivities in radiation dose estimates, subject to imprecisely known nuclear material cross-section data. The method is a combined application of adjoint-based models to perform, simultaneously, both the sensitivity calculation together with optimal adaptive mesh refinement. Adjoint-based sensitivity methods are known for their efficiency since they enable sensitivities of all parameters to be formed through only two solutions to the problem. However, the efficient solutions can also be obtained by their computation on optimal meshes, here guided by goal-based adjoint approaches. It is shown that both mesh adaptivity and sensitivity …

Isotopic Evidence For Sources Of Dissolved Carbon And The Role Of Organic Matter Respiration In The Fraser River Basin, Canada, Britta M. Voss, Timothy I. Eglinton, Bernhard Peucker-Ehrenbrink, Valier Galy, Susan Q. Lang Ph.D., M.S., B.S., Cameron Mcintyre, Robert G.M. Spencer, Ekaterina Bulygina, Zhaohui Aleck Wang, Katherine A. Guay

Faculty Publications

Sources of dissolved and particulate carbon to the Fraser River system vary significantly in space and time. Tributaries in the northern interior of the basin consistently deliver higher concentrations of dissolved organic carbon (DOC) to the main stem than other tributaries. Based on samples collected near the Fraser River mouth throughout 2013, the radiocarbon age of DOC exported from the Fraser River does not change significantly across seasons despite a spike in DOC concentration during the freshet, suggesting modulation of heterogeneous upstream chemical and isotopic signals during transit through the river basin. Dissolved inorganic carbon (DIC) concentrations are highest in …

Age-Related Changes In Diffuse Optical Tomography Sensitivity Profiles From Childhood To Adulthood, Xiaoxue Fu Ph.D., John E. Richards

Faculty Publications

Significance: Diffuse optical tomography (DOT) uses near-infrared light spectroscopy to measure changes in cerebral hemoglobin concentration. Anatomical interpretations of the brain location that generates the hemodynamic signal require accurate descriptions of the DOT sensitivity to the underlying cortex. DOT sensitivity profiles are different in infants compared with adults. However, the descriptions of DOT sensitivity profiles from early childhood to adulthood are lacking despite the continuous head and brain development.

Aim: We aim to investigate age-related differences in DOT sensitivity profiles in individuals aged from 2 to 34 years with narrow age ranges of 0.5 or 1 year.

Approach: We implemented …

Integrated Socio-Environmental Vulnerability Assessment Of Coastal Hazards Using Data-Driven And Multi-Criteria Analysis Approaches, Ahad Hasan Tanim, Erfan Goharian, Hamid Moradkhani

Faculty Publications

Coastal hazard vulnerability assessment has been centered around the multi-variate analysis of geo-physical and hydroclimate data. The representation of coupled socio-environmental factors has often been ignored in vulnerability assessment. This study develops an integrated socio-environmental Coastal Vulnerability Index (CVI), which simultaneously combines information from five vulnerability groups: biophysical, hydroclimate, socio-economic, ecological, and shoreline. Using the Multi-Criteria Decision Making (MCDM) approach, two CVI (CVI-50 and CVI-90) have been developed based on average and extreme conditions of the factors. Each CVI is then compared to a data-driven CVI, which is formed based on Probabilistic Principal Component Analysis (PPCA). Both MCDM and PPCA …

Future Orientation Among Children Affected By Parental Hiv In China: An Exploratory Analysis Of Complex Interactions, Heather L. Mcdaniel, Sayward Harrison, Amanda Fairchild, Xiaoming Li

Faculty Publications

We utilized an exploratory analytic approach to examine predictors of children's future beliefs, an internal asset associated with resilience among children affected by HIV, with emphasis on complex interactions among multisystem factors. Children (N = 1221) affected by parental HIV in China reported on psychosocial functioning, as well as internal, familial, and community resilience assets. Exploratory data analysis was conducted using a binary segmentation program. Six binary splits on predictors accounted for 22.78% of the variance in future expectation, suggesting interactions between children's perceived control of their future, loneliness, caregiver trust, and social support. Four binary splits accounted for …

Prior Exposure To Microcystin Alters Host Gut Resistome And Is Associated With Dysregulated Immune Homeostasis In Translatable Mouse Models, Punnag Saha, Dipro Bose, Vitalii Stebliankin, Trevor Cickovski, Ratanesh K. Seth, Dwayne E. Porter Ph.D., Bryan W. Brooks, Kalai Mathee, Giri Narashimhan, Rita Colwell, Geoffry Ivan Scott Ph.D., Saurabh Chatterjee Ms., Ph.D

Faculty Publications

A strong association between exposure to the common harmful algal bloom toxin microcystin and the altered host gut microbiome has been shown. We tested the hypothesis that prior exposure to the cyanotoxin microcystin-LR may alter the host resistome. We show that the mice exposed to microcystin-LR had an altered microbiome signature that harbored antibiotic resistance genes. Host resistome genotypes such as mefA, msrD, mel, ant6, and tet40 increased in diversity and relative abundance following microcystin-LR exposure. Interestingly, the increased abundance of these genes was traced to resistance to common antibiotics such as tetracycline, macrolides, glycopeptide, and aminoglycosides, crucial for modern-day …

Khsrp Loss Increases Neuronal Growth And Synaptic Transmission And Alters Memory Consolidation Through Rna Stabilization, Sarah L. Olguin, Priyanka Patel, Courtney N. Buchanan, Michela Dell'orco, Amy S. Gardiner, Robert Cole, Lauren S. Vaughn, Anitha Sundararajan, Joann Mudge, Andrea M. Allen, Pavel Ortinski, Jonathan L. Brigman, Jeffery L. Twiss, Nora L. Perrone-Bizzozero

Faculty Publications

KH-type splicing regulatory protein (KHSRP) regulates levels of several neuronal mRNAs linked to nervous system development and function.

The KH-type splicing regulatory protein (KHSRP) is an RNA-binding protein linked to decay of mRNAs with AU-rich elements. KHSRP was previously shown to destabilize Gap43 mRNA and decrease neurite growth in cultured embryonic neurons. Here, we have tested functions of KHSRP in vivo. We find upregulation of 1460 mRNAs in neocortex of adult Khsrp(-/-) mice, of which 527 bind to KHSRP with high specificity. These KHSRP targets are involved in pathways for neuronal morphology, axon guidance, neurotransmission and long-term memory. Khsrp(-/-) mice …

Pathways To Food Insecurity In The Context Of Conflict: The Case Of The Occupied Palestinian Territory, Tracy Kuo Lin, Rawan Kafri, Weeam Hammoudeh, Suzan Mitwalli, Zeina Jamaluddine, Hala Ghattas Ph.D., Rita Giacaman, Tiziana Leone

Faculty Publications

Background: Conflict reduces availability of production input and income, increases the number of days households had to rely on less preferred foods, and limits the variety of foods eaten and the portion size of meals consumed. While existing studies examine the impact of conflict on different food security measures (e.g., Food Consumption Score, Food Insecurity Experience Scale), the relationship between these measures as well as their relationship with political, economic, and agricultural factors remain under explored. Food insecurity may not only be an externality of conflict but also food deprivation may be utilized as a weapon to discourage residency in …

Structural Health Monitoring Of Fatigue Cracks For Steel Bridges With Wireless Large-Area Strain Sensors, Sdiq Anwar Taher, Jian Li, Jong-Hyun Jeong, Simon Laflamme, Hongki Jo, Caroline Bennett, William N. Collins, Austin Downey

Faculty Publications

This paper presents a field implementation of the structural health monitoring (SHM) of fatigue cracks for steel bridge structures. Steel bridges experience fatigue cracks under repetitive traffic loading, which pose great threats to their structural integrity and can lead to catastrophic failures. Currently, accurate and reliable fatigue crack monitoring for the safety assessment of bridges is still a difficult task. On the other hand, wireless smart sensors have achieved great success in global SHM by enabling long-term modal identifications of civil structures. However, long-term field monitoring of localized damage such as fatigue cracks has been limited due to the lack …

Circadiomics: Circadian Omic Web Portal, Muntaha Samad, Forest Agostinelli, Tomoki Sato, Kohei Shimaji, Pierre Baldi

Faculty Publications

Circadian rhythms are a foundational aspect of biology. These rhythms are found at the molecular level in every cell of every living organism and they play a fundamental role in homeostasis and a variety of physiological processes. As a result, biomedical research of circadian rhythms continues to expand at a rapid pace. To support this research, CircadiOmics (http://circadiomics.igb.uci.edu/) is the largest annotated repository and analytic web server for high-throughput omic (e.g. transcriptomic, metabolomic, proteomic) circadian time series experimental data. CircadiOmics contains over 290 experiments and over 100 million individual measurements, across >20 unique tissues/organs, and 11 different species. Users are …

Leaf Development In Medicago Truncatula, Liren Du, Samuel Winright Adkins, Mingli Xu

Faculty Publications

Forage yield is largely dependent on leaf development, during which the number of leaves, leaflets, leaf size, and shape are determined. In this mini-review, we briefly summarize recent studies of leaf development in Medicago truncatula, a model plant for legumes, with a focus on factors that could affect biomass of leaves. These include: floral development and related genes, lateral organ boundary genes, auxin biosynthesis, transportation and signaling genes, and WOX related genes.

Effect Of Behavioural Practice Targeted At The Motor Action Selection Network After Stroke, Jill C. Stewart, Jessica F. Baird, Stacy L. Fritz, Julius Fridriksson Ph.D.

Faculty Publications

Motor action selection engages a network of frontal and parietal brain regions. After stroke, individuals activate a similar network, however, activation is higher, especially in the contralesional hemisphere. The current study examined the effect of practice on action selection performance and brain activation after stroke. Sixteen individuals with chronic stroke (Upper Extremity Fugl–Meyer motor score range: 18–61) moved a joystick with the more-impaired hand in two conditions: Select (externally cued choice; move right or left based on an abstract rule) and Execute (simple response; move same direction every trial). On Day 1, reaction time (RT) was longer in Select compared …

Natural Products Inhibitors Of Monoamine Oxidases—Potential New Drug Leads For Neuroprotection, Neurological Disorders, And Neuroblastoma, Narayan D. Chaurasiya, Francisco León Ph.D., Ilias Muhammad, Babu L. Tekwani

Faculty Publications

Monoamine oxidase inhibitors (MAOIs) are an important class of drugs prescribed for treatment of depression and other neurological disorders. Evidence has suggested that patients with atypical depression preferentially respond to natural product MAOIs. This review presents a comprehensive survey of the natural products, predominantly from plant sources, as potential new MAOI drug leads. The psychoactive properties of several traditionally used plants and herbal formulations were attributed to their MAOI constituents. MAO inhibitory constituents may also be responsible for neuroprotective effects of natural products. Different classes of MAOIs were identified from the natural product sources with non-selective as well as selective …

Efficiently Searching Extreme Mechanical Properties Via Boundless Objective-Free Exploration And Minimal First-Principles Calculations, Joshua Ojih, Mohammed Al-Fahdi, Alejandro David Rodriguez, Kamal Choudhary, Ming Hu

Faculty Publications

Despite the machine learning (ML) methods have been largely used recently, the predicted materials properties usually cannot exceed the range of original training data. We deployed a boundless objective-free exploration approach to combine traditional ML and density functional theory (DFT) in searching extreme material properties. This combination not only improves the efficiency for screening large-scale materials with minimal DFT inquiry, but also yields properties beyond original training range. We use Stein novelty to recommend outliers and then verify using DFT. Validated data are then added into the training dataset for next round iteration. We test the loop of training-recommendation-validation in …

A Monte Carlo Framework For Incremental Improvement Of Simulation Fidelity, Damian M. Lyons, James Finocchiaro, Misha Novitzky, Chris Korpela

Faculty Publications

Robot software developed in simulation often does not be- have as expected when deployed because the simulation does not sufficiently represent reality - this is sometimes called the `reality gap' problem. We propose a novel algorithm to address the reality gap by injecting real-world experience into the simulation. It is assumed that the robot program (control policy) is developed using simulation, but subsequently deployed on a real system, and that the program includes a performance objective monitor procedure with scalar output. The proposed approach collects simulation and real world observations and builds conditional probability functions. These are used to generate …

A Monte Carlo Framework For Incremental Improvement Of Simulation Fidelity, Damian Lyons, James Finocchiaro, Misha Novitsky, Chris Korpela

Faculty Publications

Robot software developed in simulation often does not be- have as expected when deployed because the simulation does not sufficiently represent reality - this is sometimes called the `reality gap' problem. We propose a novel algorithm to address the reality gap by injecting real-world experience into the simulation. It is assumed that the robot program (control policy) is developed using simulation, but subsequently deployed on a real system, and that the program includes a performance objective monitor procedure with scalar output. The proposed approach collects simulation and real world observations and builds conditional probability functions. These are used to generate …

Improved Writing From Reading Other Writers, Douglas E. Abrams

Faculty Publications

In 1954, a 12-year-old junior high school student wrote to Justice Felix Frankfurter seeking advice about how to prepare to become a lawyer. “The best way to prepare for the law,” Frankfurter answered, “is to come to the study of law as a well-read person.” Reading other writers, he explained, enables future lawyers to “acquire the capacity to use the English language on paper and in speech and with the habits of clear thinking.”

Justice Frankfurter offered his young correspondent sound advice about the intimate link among reading, writing, and lawyering. Reading works from other writers with an eye toward …