Digital Commons Network^™

4d Spatio-Temporal Electric Field Characterization Of Ultrashort Light Pulses Undergoing Filamentation, Lana Neoričić, Christoph Jusko, Sara Mikaelsson, Chen Guo, Miguel Miranda, Shiyang Zhong, Felix Garmirian, Balazs Major, Jeffrey M. Brown, Mette B. Gaarde, Arnaud Couairon, Uwe Morgner, Milutin Kovačev, Cord L. Arnold

Faculty Publications

We present an experimental method capable of capturing the complete spatiotemporal dynamics of filamenting ultrashort laser pulses. By employing spatially resolved Fourier transform spectrometry in combination with the capability to terminate the filament at any length, we can follow the nonlinear dynamics in four dimensions, i.e. the transverse domain, time and filament length. Our method thus not only enables the full characterization of the filamentation process throughout its evolution, but also allows to identify and select laser pulses with desired parameters.

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 …

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 …

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 …

Loop Quantum Cosmology And Its Gauge-Covariant Avatar: A Weak Curvature Relationship, Bao Fei Li, Parampreet Singh

Faculty Publications

We explore the relationship between the effective dynamics in standard loop quantum cosmology (LQC) based on holonomies and triads obtained from gauge-fixing fluxes, and a modification of LQC based on holonomies and gauge-covariant fluxes (referred to as GLQC). Both the models yield singularity resolution via a bounce because of nonperturbative quantum geometric effects resulting in a maximum for energy density. In LQC, the bounce is extremely well captured by a ρ2 term in energy density with a negative sign which emerges as a nonperturbative modification to the classical Friedmann and Raychaudhuri equations. But details of such modifications in GLQC have …

Probing The Mutation Independent Interaction Of Dna Probes With Sars-Cov-2 Variants Through A Combination Of Surface-Enhanced Raman Scattering And Machine Learning, Parikshit Moitra, Ardalan Chaichi, Syed Mohammad Abid Hasan, Ketan Dighe, Maha Alafeef, Alisha Prasad, Manas Ranjan Gartia, Dipanjan Pan

Faculty Publications

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evolution has been characterized by the emergence of sets of mutations impacting the virus characteristics, such as transmissibility and antigenicity, presumably in response to the changing immune profile of the human population. The presence of mutations in the SARS-CoV-2 virus can potentially impact therapeutic and diagnostic test performances. We design and develop here a unique set of DNA probes i.e., antisense oligonucleotides (ASOs) which can interact with genetic sequences of the virus irrespective of its ongoing mutations. The probes, developed herein, target a specific segment of the nucleocapsid phosphoprotein (N) gene of SARS-CoV-2 …

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, …

Post-Embryonic Phase Transitions Mediated By Polycomb Repressive Complexes In Plants, Valerie Hinsch, Samuel Adkins, Darren Manuela, Mingli Xu

Faculty Publications

Correct timing of developmental phase transitions is critical for the survival and fitness of plants. Developmental phase transitions in plants are partially promoted by controlling relevant genes into active or repressive status. Polycomb Repressive Complex1 (PRC1) and PRC2, originally identified in Drosophila, are essential in initiating and/or maintaining genes in repressive status to mediate developmental phase transitions. Our review summarizes mechanisms in which the embryo-to-seedling transition, the juvenile-to-adult transition, and vegetative-to-reproductive transition in plants are mediated by PRC1 and PRC2, and suggests that PRC1 could act either before or after PRC2, or that they could function independently of each other. …

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 …

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 …

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. …

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 …

Partial Least Squares Enhances Genomic Prediction Of New Environments, Osval A. Montesinos-López, Abelardo Montesinos-López, Kismiantini, Armando Roman-Gallardo, Keith Gardner, Morten Lillemo, Roberto Fritsche-Neto, José Crossa

Faculty Publications

In plant breeding, the need to improve the prediction of future seasons or new locations and/or environments, also denoted as “leave one environment out,” is of paramount importance to increase the genetic gain in breeding programs and contribute to food and nutrition security worldwide. Genomic selection (GS) has the potential to increase the accuracy of future seasons or new locations because it is a predictive methodology. However, most statistical machine learning methods used for the task of predicting a new environment or season struggle to produce moderate or high prediction accuracies. For this reason, in this study we explore the …

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 …

Electro-Mechanical Response Of Ultrasonically Welded Thermoplastic Composite Interfaces Under Static And Cyclic Flexural Loads Using Nanocomposites, Wencai Li, Genevieve Palardy

Faculty Publications

In this work, glass fiber/polypropylene adherends were ultrasonically welded with multifunctional nanocomposite polymer films containing multi-walled carbon nanotubes (MWCNTs), embedded at the interface. Their potential for strain and damage monitoring under flexural loading for two different joint configurations was assessed via electrical resistance changes. Cyclic bending tests at various interval durations were first performed on welded single-lap joints to analyze the stability of different MWCNT weight contents (5 wt % to 20 wt %). Subsequently, 3-point bending joints (3PBJs) were welded with single- and double-film configurations and then subjected to static and cyclic loading to assess the monitoring capability through …

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 …

A Many-Analysts Approach To The Relation Between Religiosity And Well-Being, Suzanne Hoogeveen, Alexandra Sarafoglou, Balazs Aczel, Yonathan Aditya, Alexandra J. Alayan, Peter J. Allen, Sacha Altay, Shilaan Alzahawi, Yulmaida Amir, Francis-Vincen Anthony, Obed Kwame Appiah, Quentin D. Atkinson, Adam Baimel, Merve Balkaya-Ince, Michela Balsamo, Sachin Banker, František Bartoš, Mario Becerra, Bertrand Beffara, Julia Beitner, Theiss Bendixen, Jana B. Berkessel, Renatas Berniūnas, Matthew I. Billet, Joseph Billingsley, Tiago Bortolini, Heiko Breitsohl, Amélie Bret, Faith L. Brown, Jennifer Brown, Claudia C. Brumbaugh, Jacek Buczny, Joseph Bulbulia, Saúl Caballero, Leonardo Carlucci, Cheryl L. Carmichael, Marco E. G. V. Cattaneo, Sarah J. Charles, Scott Claessens, Maxinne C. Panagopoulos, Angelo Brandelli Costa, Damien L. Crone, Stefan Czoschke, Christian Czymara, E. Damiano D'Urso, Örjan Dahlström, Anna Dalla Rosa, Henrik Danielsson, Jill De Ron, Ymkje Anna De Vries, Kristy K. Dean, Bryan J. Dik, David J. Disabato, Jaclyn K. Doherty, Tim Draws, Lucas Drouhot, Marin Dujmovic, Yarrow Dunham, Tobias Ebert, Peter A. Edelsbrunner, Anita Eerland, Christian T. Elbaek, Shole Farahmand, Hooman Farahmand, Miguel Farias, Abrey A. Feliccia, Kyle Fischer, Ronald Fischer, Donna Fisher-Thompson, Zoë Francis, Susanne Frick, Lisa K. Frisch, Diogo Geraldes, Emily Gerdin, Linda Geven, Omid Ghasemi, Erwin Gielens, Vukašin Gligorić, Kristin Hagel, Nandor Hajdu, Hannah R. Hamilton, Imaduddin Hamzah, Paul H. P. Hanel, Christopher E. Hawk, Karel K. Himawan, Benjamin C. Holding, Lina E. Homman, Moritz Ingendahl, Hilla Inkilä, Mary L. Inman, Chris-Gabriel Islam, Ozan Isler, David Izydorczyk, Bastian Jaeger, Kathryn A. Johnson, Jonathan Jong, Johannes A. Karl, Erikson Kaszubowski, Benjamin A. Katz, Lucas A. Keefer, Stijn Kelchtermans, John M. Kelly, Richard A. Klein, Bennett Kleinberg, Megan L. Knowles, Marta Kołczyńska, Dave Koller, Julia Krasko, Sarah Kritzler, Angelos-Miltiadis Krypotos, Thanos Kyritsis, Todd L. Landes, Ruben Laukenmann, Guy A. Lavender Forsyth, Aryeh Lazar, Barbara J. Lehman, Neil Levy, Ronda F. Lo, Paul Lodder, Jennifer Lorenz, Paweł Łowicki, Albert L. Ly, Esther Maassen, Gina M. Magyar-Russell, Maximilian Maier, Dylan R. Marsh, Nuria Martinez, Marcellin Martinie, Ihan Martoyo, Susan E. Mason, Anne Lundahl Mauritsen, Phil Mcaleer, Thomas Mccauley, Michael Mccullough, Ryan Mckay, Camilla M. Mcmahon, Amelia A. Mcnamara, Kira K. Means, Brett Mercier, Panagiotis Mitkidis, Benoît Monin, Jordan W. Moon, David Moreau, Jonathan Morgan, James Murphy, George Muscatt, Christof Nägel, Tamás Nagy, Ladislas Nalborczyk, Gustav Nilsonne, Pamina Noack, Ara Norenzayan, Michèle B. Nuijten, Anton Olsson-Collentine, Lluis Oviedo, Yuri G. Pavlov, James O. Pawelski, Hannah I. Pearson, Hugo Pedder, Hannah K. Peetz, Michael Pinus, Steven Pirutinsky, Vince Polito, Michaela Porubanova, Michael J. Poulin, Jason M. Prenoveau, Mark A. Prince, John Protzko, Campbell Pryor, Benjamin G. Purzycki, Lin Qiu, Julian Quevedo Pütter, André Rabelo, Milen L. Radell, Jonathan E. Ramsay, Graham Reid, Andrew J. Roberts, Lindsey M. Root Luna, Robert M. Ross, Piotr Roszak, Nirmal Roy, Suvi-Maria K. Saarelainen, Joni Y. Sasaki, Catherine Schaumans, Bruno Schivinski, Marcel C. Schmitt, Sarah A. Schnitker, Martin Schnuerch, Marcel R. Schreiner, Victoria Schüttengruber, Simone Sebben, Suzanne C. Segerstrom, Berenika Seryczyńska, Uffe Shjoedt, Müge Simsek, Willem W. A. Sleegers, Eliot R. Smith, Walter J. Sowden, Marion Späth, Christoph Spörlein, William Stedden, Andrea H. Stoevenbelt, Simon Stuber, Justin Sulik, Christiany Suwartono, Stylianos Syropoulos, Barnabas Szaszi, Peter Szecsi, Ben M. Tappin, Louis Tay, Robert T. Thibault, Burt Thompson, Christian M. Thurn, Josefa Torralba, Shelby D. Tuthill, Ann-Marie Ullein, Robbie C. M. Van Aert, Marcel A. L. M. Van Assen, Patty Van Cappellen, Olmo R. Van Den Akker, Ine Van Der Cruyssen, Jolanda Van Der Noll, Noah N. N. Van Dongen, Caspar J. Van Lissa, Valerie Van Mulukom, Don Van Ravenzwaaij, Casper J. J. Van Zyl, Leigh Ann Vaughn, Bojana Većkalov, Bruno Verschuere, Michelangelo Vianello, Felipe Vilanova, Allon Vishkin, Vera Vogel, Leonie V. D. E. Vogelsmeier, Shoko Watanabe, Cindel J. M. White, Kristina Wiebels, Sera Wiechert, Zachary Z. Willett, Maciej Witkowiak, Charlotte Vanoyen-Witvliet, Dylan Wiwad, Robin Wuyts, Dimitris Xygalatas, Xin Yang, Darren J. Yeo, Onurcan Yilmaz, Natalia Zarzeczna, Yitong Zhao, Josjan Zijlmans, Michiel Van Elk, Eric-Jan Wagenmakers

Faculty Publications

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N = 10, 535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given …

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.

Chlorine-36 Surface Exposure Dating Of Late Holocene Moraines And Glacial Mass Balance Modeling, Monte Sierra Nevada, South-Central Chilean Andes (38°S), Brittany N. Price, Nathan D. Stansell, Alfonso Fernández, Joseph M. Licciardi, Alia J. Lesnek, Ariel Muñoz, Mary K. Sorensen, Edilia Jaque Castillo, Tal Shutkin, Isabella Ciocca, Ianire Galilea

Faculty Publications

The development of robust chronologies of Neoglaciation from individual glaciers throughout the high-altitude Andes can provide fundamental knowledge of influences such as regional temperature and precipitation variability, and aid in predicting future changes in the Andean climate system. However, records of Late Holocene glaciation from the Central Chilean Andes are sparse, and often poorly constrained. Here, we present ³⁶Cl surface exposure ages, dendrochronologic constraints, and glacial mass balance modeling simulations of Late Holocene glacier fluctuations in the Central-South Chilean Andes. A series of concentric moraine ridges were identified on Monte Sierra Nevada (38°S), where exposure dating of basaltic boulders …

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 …