Digital Commons Network^™

Health Disparity And Covid-19—A Retrospective Analysis, Sanjay Sarkar, Archie Taylor, Pratik Dutta, Bidisha Sengupta, Debarshi Roy

Faculty Publications

Background and Aims

According to the World Health Organization (WHO), more than 75.7 million confirmed cases of coronavirus disease 2019 (COVID-19), a global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have been reported so far. Researchers are working relentlessly to find effective solutions to this catastrophe, using genomic sequence-based investigation, immunological analysis, and more. The role of health disparity has also emerged as an intriguing factor that made a huge impact on the lives of people.

Methods

We analyzed various factors that triggered the health disparity in the United States of America along with the rate of …

Investigating The Genomic Distribution Of Phylogenetic Signal With Cloudforest, Reid Wagner, Benjamin S. Toups, Zhifeng Deng, Kyle A. Gallivan, Jeremy M. Brown, James C. Wilgenbusch

Faculty Publications

A central focus of evolutionary biology is inferring the historical relationships among species and using this context to learn about how evolution has shaped diverse organisms these historical relationships are represented by phylogenetic trees, and the methods used to infer these trees have been an active area of research for several decades. Despite this attention, phylogenetic workflows have changed little, even though extraordinary advances have occurred in the scale and pace at which genomic data have been collected in the past 20 years. Modern phylogenomic datasets have also raised fascinating new questions. Why do different parts of a genome often …

Divergent Controls Of Soil Organic Carbon Between Observations And Process-Based Models, Katerina Georgiou, Avni Malhotra, William R. Wieder, Jacqueline H. Ennis, Melannie D. Hartman, Benjamin N. Sulman, Asmeret Asefaw Berhe, A. Stuart Grandy, Emily Kyker-Snowman, Kate Lajtha, Jessica A. M. Moore, Derek Pierson, Robert B. Jackson

Faculty Publications

The storage and cycling of soil organic carbon (SOC) are governed by multiple co-varying factors, including climate, plant productivity, edaphic properties, and disturbance history. Yet, it remains unclear which of these factors are the dominant predictors of observed SOC stocks, globally and within biomes, and how the role of these predictors varies between observations and process-based models. Here we use global observations and an ensemble of soil biogeochemical models to quantify the emergent importance of key state factors – namely, mean annual temperature, net primary productivity, and soil mineralogy – in explaining biome- to global-scale variation in SOC stocks. We …

Upper Limits On The Isotropic Gravitational-Wave Background From Advanced Ligo And Advanced Virgo's Third Observing Run, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, C. Adams, R. X. Adhikari, V. B. Adya, C. Affeldt, D. Agarwal, M. Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, L. Aiello, A. Ain, T. Akutsu, K. M. Aleman, Tiffany Summerscales

Faculty Publications

We report results of a search for an isotropic gravitational-wave background (GWB) using data from Advanced LIGO's and Advanced Virgo's third observing run (O3) combined with upper limits from the earlier O1 and O2 runs. Unlike in previous observing runs in the advanced detector era, we include Virgo in the search for the GWB. The results of the search are consistent with uncorrelated noise, and therefore we place upper limits on the strength of the GWB. We find that the dimensionless energy density ωGW≤5.8×10-9 at the 95% credible level for a flat (frequency-independent) GWB, using a prior which is uniform …

Investigation And Statistical Modeling Of The Mechanical Properties Of Additively Manufactured Lattices, Derek G. Spear, Anthony N. Palazotto

Faculty Publications

This paper describes the background, test methodology, and experimental results associated with the testing and analysis of quasi-static compression testing of additively manufactured open-cell lattice structures. The study aims to examine the effect of lattice topology, cell size, cell density, and surface thickness on the mechanical properties of lattice structures. Three lattice designs were chosen, the Diamond, I-WP, and Primitive Triply Periodic Minimal Surfaces (TPMSs). Uniaxial compression tests were conducted for every combination of the three lattice designs, three cell sizes, three cell densities, and three surface thicknesses. In order to perform an efficient experiment and gain the most information …

Search For Anisotropic Gravitational-Wave Backgrounds Using Data From Advanced Ligo And Advanced Virgo's First Three Observing Runs, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, C. Adams, R. X. Adhikari, V. B. Adya, C. Affeldt, D. Agarwal, M. Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, L. Aiello, A. Ain, P. Ajith, T. Akutsu, Tiffany Z. Summerscales

Faculty Publications

We report results from searches for anisotropic stochastic gravitational-wave backgrounds using data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. For the first time, we include Virgo data in our analysis and run our search with a new efficient pipeline called pystoch on data folded over one sidereal day. We use gravitational-wave radiometry (broadband and narrow band) to produce sky maps of stochastic gravitational-wave backgrounds and to search for gravitational waves from point sources. A spherical harmonic decomposition method is employed to look for gravitational-wave emission from spatially-extended sources. Neither technique found evidence of …

Upper Limits On The Isotropic Gravitational-Wave Background From Advanced Ligo And Advanced Virgo’S Third Observing Run, Ligo Scientific Collaboration, Virgo Collaboration, Kagra Collaboration, Tiffany Z. Summerscales

Faculty Publications

We report results of a search for an isotropic gravitational-wave background (GWB) using data from Advanced LIGO’s and Advanced Virgo’s third observing run (O3) combined with upper limits from the earlier O1 and O2 runs. Unlike in previous observing runs in the advanced detector era, we include Virgo in the search for the GWB. The results of the search are consistent with uncorrelated noise, and therefore we place upper limits on the strength of the GWB. We find that the dimensionless energy density ΩGW≤5.8×10−9 at the 95% credible level for a flat (frequency-independent) GWB, using a prior which is uniform …

Search For Anisotropic Gravitational-Wave Backgrounds Using Data From Advanced Ligo And Advanced Virgo’S First Three Observing Runs, Ligo Scientific Collaboration, Virgo Collaboration, Kagra Collaboration, Tiffany Z. Summerscales

Faculty Publications

We report results from searches for anisotropic stochastic gravitational-wave backgrounds using data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. For the first time, we include Virgo data in our analysis and run our search with a new efficient pipeline called pystoch on data folded over one sidereal day. We use gravitational-wave radiometry (broadband and narrow band) to produce sky maps of stochastic gravitational-wave backgrounds and to search for gravitational waves from point sources. A spherical harmonic decomposition method is employed to look for gravitational-wave emission from spatially-extended sources. Neither technique found evidence of …

Search For Gravitational Waves Associated With Gamma-Ray Bursts Detected By Fermi And Swift During The Ligo-Virgo Run O3a, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, C. Adams, R. X. Adhikari, V. B. Adya, C. Affeldt, M. Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, A. Aich, L. Aiello, A. Ain, P. Ajith, G. Allen, A. Allocca, Tiffany Z. Summerscales

Faculty Publications

We search for gravitational-wave transients associated with gamma-ray bursts (GRBs) detected by the Fermi and Swift satellites during the first part of the third observing run of Advanced LIGO and Advanced Virgo (2019 April 1 15:00 UTC-2019 October 1 15:00 UTC). A total of 105 GRBs were analyzed using a search for generic gravitational-wave transients; 32 GRBs were analyzed with a search that specifically targets neutron star binary mergers as short GRB progenitors. We find no significant evidence for gravitational-wave signals associated with the GRBs that we followed up, nor for a population of unidentified subthreshold signals. We consider several …

Leveraging Natural Resources Toward Resilience: Outreach, Restoration, And Monitoring For A Resilient Nh Coast, Alyson Eberhardt, David M. Burdick, Gregg E. Moore

Faculty Publications

Both sound science and meaningful community engagement are critical to creating resilient coastlines given that important natural resources and high population densities coexist in these areas. Salt marshes and sand dunes provide important benefits to the people who live near them, such as mitigating flood impacts, when the condition of the ecosystem is robust enough to support such functions. To enhance the ability of these systems to perform ecosystem services, the goals of this project were to 1. Empower landowners to sustainably manage their own property to support coastal ecosystems and the benefits they provide, 2. Restore eroded sand dunes …

Search For Gravitational Waves Associated With Gamma-Ray Bursts Detected By Fermi And Swift During The Ligo–Virgo Run O3a, Ligo Scientific Collaboration, Virgo Collaboration, Tiffany Z. Summerscales

Faculty Publications

We search for gravitational-wave transients associated with gamma-ray bursts (GRBs) detected by the Fermi and Swift satellites during the first part of the third observing run of Advanced LIGO and Advanced Virgo (2019 April 1 15:00 UTC–2019 October 1 15:00 UTC). A total of 105 GRBs were analyzed using a search for generic gravitational-wave transients; 32 GRBs were analyzed with a search that specifically targets neutron star binary mergers as short GRB progenitors. We find no significant evidence for gravitational-wave signals associated with the GRBs that we followed up, nor for a population of unidentified subthreshold signals. We consider several …

An Operational Overview Of The Export Processes In The Ocean From Remote Sensing (Exports) Northeast Pacific Field Deployment, David A. Siegel, Ivona Cetinic, 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 R. Benitez-Nelson, Kelsey Bisson, Emmanuel Boss, Et. Al.

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 …

Cognitive Complaints In Age-Related Chronic Conditions: A Systematic Review, Nikki L. Hill, Sakshi Bhargava, Monique J. Brown, Hyejin Kim, Iris Bhang, Kaitlyn Mullin, Kathleen Phillips, Jacqueline Mogle

Faculty Publications

Introduction

Cognitive complaints in older adults may be indicative of progressive cognitive decline including Alzheimer’s disease (AD), but also occur in other age-related chronic conditions, complicating identification of early AD symptoms. To better understand cognitive complaints in aging, we systematically reviewed the evidence to determine their prevalence and characterization among older adults with the most common age-related chronic conditions.

Methods

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and the review protocol was prospectively registered with PROSPERO (ID: CRD42020153147). Searches were conducted in PubMed, CINAHL, PsycINFO, Web of Science, and …

Molecular Markers Of Biogenic And Oil-Derived Hydrocarbons In Deep-Sea Sediments Following The Deepwater Horizon Spill, Isabel C. Romero, Jeffrey P. Chanton, Gregg Brooks, Samantha Bosman, Rebekka A. Larson, Austin Harris, Patrick Schwing, Arne Diercks

Faculty Publications

Following the Deepwater Horizon oil spill (DWHOS), the formation of an unexpected and extended sedimentation event of oil-associated marine snow (MOSSFA: Marine Oil Snow Sedimentation and Flocculent Accumulation) demonstrated the importance of biology on the fate of contaminants in the oceans. We used a wide range of compound-specific data (aliphatics, hopanes, steranes, triaromatic steroids, polycyclic aromatics) to chemically characterize the MOSSFA event containing abundant and multiple hydrocarbon sources (e.g., oil residues and phytoplankton). Sediment samples were collected in 2010–2011 (ERMA-NRDA programs: Environmental Response Management Application – Natural Resource Damage Assessment) and 2018 (REDIRECT project: Resuspension, Redistribution and Deposition of Deepwater …

High-Throughput Computation Of New Carbon Allotropes With Diverse Hybridization And Ultrahigh Hardness, Mohammed Al-Fahdi, Alejandro Rodriguez, Tao Ouyang, Ming Hu

Faculty Publications

The discovery of new carbon allotropes with different building blocks and crystal symmetries has long been of great interest to broad materials science fields. Herein, we report several hundred new carbon allotropes predicted by the state-of-the-art RG² code and first-principles calculations. The types of new carbon allotropes that were identified in this work span pure sp² , hybrid sp²/sp³ , and pure sp³ C–C bonding. All structures were globally optimized at the first-principles level. The thermodynamic stability of some selected carbon allotropes was further validated by computing their phonon dispersions. The predicted carbon allotropes …

Using Cellular Automata Approach To Optimize The Hydropower Reservoir Operation Of Folsom Dam, Erfan Goharian, Mohammed Azizipour, Samuel Sandoval-Solis, Graham Fogg

Faculty Publications

While hydropower in California is one the main sources of renewable energy, population growth has continuously increased demand for energy. In addition, recent droughts reduced the amount of available water behind the hydropower dams to provide the water head needed to run the turbines in hydropower plants. A more sustainable alternative, instead of developing new infrastructure, is to enhance the daily operation of reservoirs to support hydropower generation. This study suggests a new optimal operation policy for Folsom Reservoir in California and hydropower plants, which maximizes hydropower generation and reduces flood risk. This study demonstrates the application of the cellular …

Exact Christoffel-Darboux Expansions: A New, Multidimensional, Algebraic, Eigenenergy Bounding Method, Carlos Handy

Faculty Publications

Although the Christoffel-Darboux representation (CDR) plays an important role within the theory of orthogonal polynomials, and many important bosonic and fermionic, multidimensional, Hermitian and Non-Hermitian, systems can be transformed into a moment equation representation (MER), the union of the two into an effective, algebraic, eigenenergy bounding method has been overlooked. This particular fusion of the two representations (CDR and MER), defines the Orthonormal Polynomial Projection Quantization-Bounding Method (OPPQ-BM), as developed here. We use it to analyze several one dimensional and two dimensional systems, including the quadratic Zeeman effect for strong-superstrong magnetic fields. For this problem, we match or surpass the …

Wall Detection Via Imu Data Classification In Autonomous Quadcopters, Jason Hughes, Damian Lyons

Faculty Publications

Abstract—An autonomous drone flying near obstacles needs to be able to detect and avoid the obstacles or it will collide with them. In prior work, drones can detect and avoid walls using data from camera, ultrasonic or laser sensors mounted either on the drone or in the environment. It is not always possible to instrument the environment, and sensors added to the drone consume payload and power - both of which are constrained for drones. This paper studies how data mining classification techniques can be used to predict where an obstacle is in relation to the drone based only on …

Energy-Saving Potential Evaluation For Primary Schools With Occupant-Centric Controls, Yunyang Ye, Yan Chen, Jian Zhang, Zhihong Pang, Zheng O'Neill, Bing Dong, Hwakong Cheng

Faculty Publications

Recent studies demonstrated that there is significant energy-saving potential for primary schools, which heating, ventilation, and air-conditioning (HVAC) systems with occupant-centric control (OCC) is an excellent candidate to save energy. However, such an energy impact has yet to be evaluated for different climate zones as well as different energy code versions, but is critical for technology transfer and deployment. Therefore, this paper conducts comprehensive evaluation on the energy-saving potentials for the primary schools with two advanced OCC strategies: presence-based and counting-based. Ninety-six building energy models with stochastic behavior of occupants are developed and simulated, which consist of two building energy …

Rld Fisher Information Bound For Multiparameter Estimation Of Quantum Channels, Vishal Katariya, Mark M. Wilde

Faculty Publications

One of the fundamental tasks in quantum metrology is to estimate multiple parameters embedded in a noisy process, i.e. a quantum channel. In this paper, we study fundamental limits to quantum channel estimation via the concept of amortization and the right logarithmic derivative (RLD) Fisher information value. Our key technical result is the proof of a chain-rule inequality for the RLD Fisher information value, which implies that amortization, i.e. access to a catalyst state family, does not increase the RLD Fisher information value of quantum channels. This technical result leads to a fundamental and efficiently computable limitation for multiparameter channel …

Observation Of Gravitational Waves From Two Neutron Star-Black Hole Coalescences, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, C. Adams, R. X. Adhikari, V. B. Adya, C. Affeldt, D. Agarwal, M. Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, L. Aiello, A. Ain, P. Ajith, T. Akutsu, K. M. Aleman, G. Allen, A. Allocca, P. A. Altin, A. Amato, S. Anand, A. Ananyeva, S. B. Anderson, W. G. Anderson, M. Ando, S. V. Angelova, S. Ansoldi, J. M. Antelis, S. Antier

Faculty Publications

We report the observation of gravitational waves from two compact binary coalescences in LIGO's and Virgo's third observing run with properties consistent with neutron star-black hole (NSBH) binaries. The two events are named GW200105_162426 and GW200115_042309, abbreviated as GW200105 and GW200115; the first was observed by LIGO Livingston and Virgo and the second by all three LIGO-Virgo detectors. The source of GW200105 has component masses, whereas the source of GW200115 has component masses and (all measurements quoted at the 90% credible level). The probability that the secondary's mass is below the maximal mass of a neutron star is 89%-96% and …

Ligo Detector Characterization In The Second And Third Observing Runs, D. Davis, J. S. Areeda, B. K. Berger, R. Bruntz, A. Effler, R. C. Essick, R. P. Fisher, P. Godwin, E. Goetz, A. F. Helmling-Cornell, B. Hughey, E. Katsavounidis, A. P. Lundgren, D. M. Macleod, Z. Márka, T. J. Massinger, A. Matas, J. Mciver, G. Mo, K. Mogushi, P. Nguyen, L. K. Nuttall, R. M.S. Schofield, D. H. Shoemaker, S. Soni, A. L. Stuver, A. L. Urban, G. Valdes, M. Walker, R. Abbott, C. Adams, R. X. Adhikari, A. Ananyeva, S. Appert, K. Arai, Y. Asali, S. M. Aston, C. Austin, A. M. Baer, M. Ball, S. W. Ballmer, S. Banagiri, D. Barker, C. Barschaw, L. Barsotti, J. Bartlett, J. Betzwieser, R. Beda, D. Bhattacharjee, J. Bidler, G. Billingsley, S. Biscans, J. Bidler, G. Billingsley, S. Biscans, C. D. Blair, R. M. Blair, N. Bode, P. Booker, R. Bork, A. Bramley, A. F. Brooks, D. D. Brown, A. Buikema, C. Cahillane, T. A. Callister, G. Caneva Santoro, K. C. Cannon, J. Carlin, K. Chandra, X. Chen, N. Christensen, A. A. Ciobanu, F. Clara, C. M. Compton, S. J. Cooper, K. R. Corley, M. W. Coughlin, S. T. Countryman, P. B. Covas, D. C. Coyne, S. G. Crowder, T. Dal Canton, B. Danila, L. E. H. Datrier, G. S. Davies, T. Dent, N. A. Didio, C. Di Fronzo, K. L. Dooley, J. C. Driggers, P. Dupej, S. E. Dwyer, T. Etzel, M. Evans, T. M. Evans, S. Fairhurst, J. Feicht, A. Fernandez-Galiana, R. Frey, P. Fritschel, V. V. Frolov, P. Fulda, M. Fyffe, B. U. Gadre, J. A. Giaime, K. D. Giardina, G. Gonzalez, S. Gras, C. Gray, A. C. Green, A. Gupta, E. K. Gustafson, R. Gustafson, J. Hanks, J. Hanson, T. Hardwick, I. W. Harry, R. K. Hasskew, M. C. Heintze, J. Heinzel, N. A. Holland, I. J. Hollows, C. G. Hoy, S. Hughey, S. P. Jadhav, K. Janssens, G. Johns, J. D. Jones, S. Kandhasamy, S. Karki, M. Kasprzak, K. Kawabe, D. Keitel, N. Kijbuchoo, Y. M. Kim, P. J. King, J. S. Kissel, S. Kulkarni, R. Kumar, M. Landry, B. B. Lane, B. Lantz, M. Laxen, Y. K. Lecoeuche, J. Leviton, J. Liu, M. Lormand, R. Macas, A. Macedo, M. Macinnis, V. Mandic, G. L. Mansell, S. Marka, B. Martinez, K. Martinovic, D. V. Martynov, K. Mason, F. Matichard, N. Mavalvala, R. Mccarthy, D. E. Mcclelland, S. Mccormick, L. Mcculler, C. Mcisaac, T. Mcrae, G. Mendell, K. Merfeld, E. L. Merilh, P. M. Meyers, F. Meylahn, I. Michaloliakos, H. Middleton, J. C. Mills, T. Mistry, R. Mittleman, G. Moreno, C. M. Mow- Lowry, S. Mozzon, L. Mueller, N. Mukund, A. Mullavey, J. Muth, T. J. N. Nelson, A. Neunzert, S. Nichols, E. Nitoglia, J. Oberling, J. J. Oh, S. H. Oh, R. J. Oram, R. G. Ormiston, N. Ormsby, C. Osthelder, D. J. Ottaway, H. Overmier, A. Pai, J. R. Palamos, F. Pannarale, W. Parker, O. Patane, M. Patel, E. Payne, A. Pele, R. Penhorwood, C. J. Perez, K. S. Phukon, M. Pillas, M. Pirello, H. Radkins, K. E. Ramirez, J. W. Richardson, K. Riles, K. Rink, N. A. Robertson, J. G. Rollins, C. L. Romel, J. H. Romie, M. P. Ross, K. Ryan, T. Sadecki, M. Sakellariadou, E. J. Sanchez, L. E. Sanchez, L. Sandles, T. R. Saravanan, R. L. Savage, D. Schaetzl, R. Schnabel, E. Schwartz, D. Sellers, T. Shaffer, D. Sigg, A. M. Sintes, B. J. J. Slagmolen, J. R. Smith, K. Soni, B. Sorazu, A. P. Spencer, K. A. Strain, D. Strom, L. Sun, M. J. Szczepanczyk, J. Tasson, R. Tenorio, M. Thomas, P. Thomas, K. A. Thorne, K. Toland, C. I. Torrie, A. Tran, G. Traylor, M. Trevor, M. Tse, G. Vajente, N. Van Remortel, D. C. Vander-Hyde, A. Vargas, J. Veitch, P. J. Veitch, K. Venkateswara, G. Venugopalan, A. D. Viets, V. Villa-Ortega, T. Vo, C. Vorvick, M. Wade, G. S. Wallace, R. L. Ward, J. Warner, B. Weaver, A. J. Weinstein, R. Weiss, K. Wette, D. D. White, L. V. White, C. Whittle, A. R. Williamson, B. Willke, C. C. Wipf, L. Xiao, R. Xu, H. Yamamoto, H. Yu, H. Yu, L. Zhang, Y. Zheng, M. E. Zucker, J. Zweizig

Faculty Publications

The characterization of the Advanced LIGO detectors in the second and third observing runs has increased the sensitivity of the instruments, allowing for a higher number of detectable gravitational-wave signals, and provided confirmation of all observed gravitational-wave events. In this work, we present the methods used to characterize the LIGO detectors and curate the publicly available datasets, including the LIGO strain data and data quality products. We describe the essential role of these datasets in LIGO–Virgo Collaboration analyses of gravitational-waves from both transient and persistent sources and include details on the provenance of these datasets in order to support analyses …

"Super Gzk" Particles In A Classic Kramers' Diffusion-Over-A-Barrier Model. I. The Case Of Protons, S. T. Alnussirat, A. F. Barghouty, G. M. Webb, P. L. Biermann

Faculty Publications

In interactions of ultra-high-energy cosmic ray (UHECR) protons with cosmic microwave background photons, we focus in this work on photopion production reactions and the effects of the measured, broad, energy-loss distributions in these reactions on the evolution of the protons' density functions in energy space. We rely on a Fokker-Planck transport equation in energy space whose transport coefficients are calculated using laboratory measurements. We also derive a Fokker-Planck potential that accounts for both systematic (drift) and stochastic (dispersive) energy losses due to photopion production reactions. Our results show that dispersive energy losses have significant effects on estimating the protons' horizon …

Relating Dust Reference Models To Conventional Systems In Manifestly Gauge Invariant Perturbation Theory, Kristina Giesel, Bao-Fei Li, Parampreet Singh

Faculty Publications

Models with dust reference fields in relational formalism have proved useful in understanding the construction of gauge invariant perturbation theory to arbitrary orders in the canonical framework. These reference fields modify the dynamical equations for perturbation equations. However, important questions remain open on the relation with conventional perturbation theories of inflaton coupled to gravity and of multifluid systems, and on understanding modifications in terms of physical degrees of freedom. These gaps are filled in this manuscript for Brown-Kuchar and Gaussian dust models, both of which involve three scalar physical degrees of freedom. We establish a relationship of these models with …

Octo-Tiger: A New, 3d Hydrodynamic Code For Stellar Mergers That Uses Hpx Parallelization, Dominic C. Marcello, Sagiv Shiber, Orsola De Marco, Juhan Frank, Geoffrey C. Clayton, Patrick M. Motl, Patrick Diehl, Hartmut Kaiser

Faculty Publications

OCTO-TIGER is an astrophysics code to simulate the evolution of self-gravitating and rotating systems of arbitrary geometry based on the fast multipole method, using adaptive mesh refinement. OCTO-TIGER is currently optimized to simulate the merger of well-resolved stars that can be approximated by barotropic structures, such as white dwarfs (WDs) or main-sequence stars. The gravity solver conserves angular momentum to machine precision, thanks to a 'correction' algorithm. This code uses firx parallelization, allowing the overlap of work and communication and leading to excellent scaling properties, allowing for the computation of large problems in reasonable wall-clock times. In this paper, we …

The Fourier Transform Of Thick Distributions, Ricardo Estrada, Jasson Vindas, Yunyun Yang

Faculty Publications

We first construct a space (cn) whose elements are test functions defined in cn = n {∞}, the one point compactification of n, that have a thick expansion at infinity of special logarithmic type, and its dual space ′(cn), the space of sl-thick distributions. We show that there is a canonical projection of ′(cn) onto ′(n). We study several sl-thick distributions and consider operations in ′(cn). We define and study the Fourier transform of thick test functions of (n) and thick tempered distributions of ′(n). We construct isomorphisms : ′(n) →′(cn), : ′(cn) → ′(n), that extend the Fourier transform …

Optimizing Genomic-Enabled Prediction In Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review, Roberto Fritsche-Neto, Giovanni Galli, Karina Lima Reis Borges, Germano Costa-Neto, Filipe Couto Alves, Felipe Sabadin, Danilo Hottis Lyra, Pedro Patric Pinho Morais, Luciano Rogério Braatz De Andrade, Italo Granato, Jose Crossa

Faculty Publications

The usefulness of genomic prediction (GP) for many animal and plant breeding programs has been highlighted for many studies in the last 20 years. In maize breeding programs, mostly dedicated to delivering more highly adapted and productive hybrids, this approach has been proved successful for both large- and small-scale breeding programs worldwide. Here, we present some of the strategies developed to improve the accuracy of GP in tropical maize, focusing on its use under low budget and small-scale conditions achieved for most of the hybrid breeding programs in developing countries. We highlight the most important outcomes obtained by the University …

Seymour's Second-Neighborhood Conjecture From A Different Perspective, Farid Bouya, Bogdan Oporowski

Faculty Publications

Seymour's Second-Neighborhood Conjecture states that every directed graph whose underlying graph is simple has at least one vertex (Formula presented.) such that the number of vertices of out-distance two from (Formula presented.) is at least as large as the number of vertices of out-distance one from it. We present alternative statements of the conjecture in the language of linear algebra.

Resuspension, Redistribution, And Deposition Of Oil-Residues To Offshore Depocenters After The Deepwater Horizon Oil Spill, Arne R. Diercks, Isabel C. Romero, Rebekka A. Larson, Patrick Schwing, Austin Harris, Samantha Bosman, Jeffrey P. Chanton, Gregg Brooks

Faculty Publications

The focus of this study was to determine the long-term fate of oil-residues from the 2010 Deepwater Horizon (DwH) oil spill due to remobilization, transport, and re-distribution of oil residue contaminated sediments to down-slope depocenters following initial deposition on the seafloor. We characterized hydrocarbon residues, bulk sediment organic matter, ease of resuspension, sedimentology, and accumulation rates to define distribution patterns in a 14,300 km2 area southeast of the DwH wellhead (1,500 to 2,600 m water depth). Oil-residues from the DwH were detected at low concentrations in 62% of the studied sites at specific sediment layers, denoting episodic deposition of oil-residues …

Evaluation Of Circulating Levels Of Interleukin-10 And Interleukin-16 And Dietary Inflammatory Index In Lebanese Knee Osteoarthritis Patients, Zeina El-Ali, Germine El-Kassas, Fouad M. Ziade, Nitin Shivappa Mbbs, Mph, Ph.D., James Hébert Scd, Nisrine Bissar

Faculty Publications

Objectives

To investigate plasma concentrations of Interleukin-16 (IL-16) and Interleukin-10 (IL-10) in Lebanese knee osteoarthritis (KOA) patients and to examine the association between the diet-associated inflammation and increased risk for KOA.

Methods

A total of 208 study participants were assigned to one of the 3 groups: Diagnosed Knee Osteoarthritis group (DKOA) (N = 78); Undiagnosed Knee Osteoarthritis group (UKOA) (N = 60) and controls matched on age, sex and sociodemographic characteristics (N = 70). UKOA represents KOA features before they are altered by therapeutic intervention and lifestyle modifications that follow the diagnosis. Energy-adjusted dietary inflammatory index (E-DII™) scores were calculated …