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10,890 results on '"Fields, P. A."'

201. Role of GBA variants in Lewy body disease neuropathology

Author

Walton, Ronald L., Koga, Shunsuke, Beasley, Alexandra I., White, Launia J., Griesacker, Teresa, Murray, Melissa E., Kasanuki, Koji, Hou, Xu, Fiesel, Fabienne C., Springer, Wolfdieter, Uitti, Ryan J., Fields, Julie A., Botha, Hugo, Ramanan, Vijay K., Kantarci, Kejal, Lowe, Val J., Jack, Clifford R., Ertekin-Taner, Nilufer, Savica, Rodolfo, Graff-Radford, Jonathan, Petersen, Ronald C., Parisi, Joseph E., Reichard, R. Ross, Graff-Radford, Neill R., Ferman, Tanis J., Boeve, Bradley F., Wszolek, Zbigniew K., Dickson, Dennis W., Ross, Owen A., and Heckman, Michael G.

Published
2024
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202. Deep learning image segmentation approaches for malignant bone lesions: a systematic review and meta-analysis

Author

Rich, Joseph M, Bhardwaj, Lokesh N, Shah, Aman, Gangal, Krish, Rapaka, Mohitha S, Oberai, Assad A, Fields, Brandon KK, Matcuk, George R, and Duddalwar, Vinay A

Subjects
Biomedical Imaging, Bioengineering, Cancer
Abstract

Introduction: Image segmentation is an important process for quantifying characteristics of malignant bone lesions, but this task is challenging and laborious for radiologists. Deep learning has shown promise in automating image segmentation in radiology, including for malignant bone lesions. The purpose of this review is to investigate deep learning-based image segmentation methods for malignant bone lesions on Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Positron-Emission Tomography/CT (PET/CT). Method: The literature search of deep learning-based image segmentation of malignant bony lesions on CT and MRI was conducted in PubMed, Embase, Web of Science, and Scopus electronic databases following the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). A total of 41 original articles published between February 2017 and March 2023 were included in the review. Results: The majority of papers studied MRI, followed by CT, PET/CT, and PET/MRI. There was relatively even distribution of papers studying primary vs. secondary malignancies, as well as utilizing 3-dimensional vs. 2-dimensional data. Many papers utilize custom built models as a modification or variation of U-Net. The most common metric for evaluation was the dice similarity coefficient (DSC). Most models achieved a DSC above 0.6, with medians for all imaging modalities between 0.85–0.9. Discussion: Deep learning methods show promising ability to segment malignant osseous lesions on CT, MRI, and PET/CT. Some strategies which are commonly applied to help improve performance include data augmentation, utilization of large public datasets, preprocessing including denoising and cropping, and U-Net architecture modification. Future directions include overcoming dataset and annotation homogeneity and generalizing for clinical applicability.

Published
2023

204. The Back Pain Consortium (BACPAC) Research Program Data Harmonization: Rationale for Data Elements and Standards

Author

Batorsky, Anna, Bowden, Anton E, Darwin, Jessa, Fields, Aaron J, Greco, Carol M, Harris, Richard E, Hue, Trisha F, Kakyomya, Joseph, Mehling, Wolf, O'Neill, Conor, Patterson, Charity G, Piva, Sara R, Sollmann, Nico, Toups, Vincent, Wasan, Ajay D, Wasserman, Ronald, Williams, David A, Vo, Nam V, Psioda, Matthew A, and McCumber, Micah

Subjects
Allied Health and Rehabilitation Science, Biomedical and Clinical Sciences, Clinical Sciences, Health Sciences, Chronic Pain, Pain Research, Back Pain, Networking and Information Technology R&D (NITRD), Neurosciences, Clinical Research, Humans, Low Back Pain, Outcome Assessment, Health Care, Research Design, data integration, harmonization, common data elements, low back pain, data standards, Pharmacology and Pharmaceutical Sciences, Public Health and Health Services, Anesthesiology, Clinical sciences, Health services and systems, Clinical and health psychology
Abstract

ObjectiveOne aim of the Back Pain Consortium (BACPAC) Research Program is to develop an integrated model of chronic low back pain that is informed by combined data from translational research and clinical trials. We describe efforts to maximize data harmonization and accessibility to facilitate Consortium-wide analyses.MethodsConsortium-wide working groups established harmonized data elements to be collected in all studies and developed standards for tabular and nontabular data (eg, imaging and omics). The BACPAC Data Portal was developed to facilitate research collaboration across the Consortium.ResultsClinical experts developed the BACPAC Minimum Dataset with required domains and outcome measures to be collected by use of questionnaires across projects. Other nonrequired domain-specific measures are collected by multiple studies. To optimize cross-study analyses, a modified data standard was developed on the basis of the Clinical Data Interchange Standards Consortium Study Data Tabulation Model to harmonize data structures and facilitate integration of baseline characteristics, participant-reported outcomes, chronic low back pain treatments, clinical exam, functional performance, psychosocial characteristics, quantitative sensory testing, imaging, and biomechanical data. Standards to accommodate the unique features of chronic low back pain data were adopted. Research units submit standardized study data to the BACPAC Data Portal, developed as a secure cloud-based central data repository and computing infrastructure for researchers to access and conduct analyses on data collected by or acquired for BACPAC.ConclusionsBACPAC harmonization efforts and data standards serve as an innovative model for data integration that could be used as a framework for other consortia with multiple, decentralized research programs.

Published
2023

205. Magnetic Resonance Imaging of the Lumbar Spine: Recommendations for Acquisition and Image Evaluation from the BACPAC Spine Imaging Working Group.

Author

Sollmann, Nico, Fields, Aaron, ONeill, Conor, Chin, Cynthia, Tosun, Duygu, Han, Misung, Vu, An, Shah, Lubdha, Harris, Richard, Lobo, Remy, Anderst, William, Herzog, Richard, Psioda, Matthew, Standaert, Christopher, Price, River, Link, Thomas, Krug, Roland, Majumdar, Sharmila, Lotz, Jeffrey, Nardo, Lorenzo, and Ozhinsky, Eugene

Subjects
Intervertebral Disc Degeneration, Low Back Pain, Magnetic Resonance Imaging, Paraspinal Musculature, Vertebral Endplate, Humans, Lumbar Vertebrae, Lumbosacral Region, Low Back Pain, Magnetic Resonance Imaging, Intervertebral Disc Degeneration
Abstract

Management of patients suffering from low back pain (LBP) is challenging and requires development of diagnostic techniques to identify specific patient subgroups and phenotypes in order to customize treatment and predict clinical outcome. The Back Pain Consortium (BACPAC) Research Program Spine Imaging Working Group has developed standard operating procedures (SOPs) for spinal imaging protocols to be used in all BACPAC studies. These SOPs include procedures to conduct spinal imaging assessments with guidelines for standardizing the collection, reading/grading (using structured reporting with semi-quantitative evaluation using ordinal rating scales), and storage of images. This article presents the approach to image acquisition and evaluation recommended by the BACPAC Spine Imaging Working Group. While the approach is specific to BACPAC studies, it is general enough to be applied at other centers performing magnetic resonance imaging (MRI) acquisitions in patients with LBP. The herein presented SOPs are meant to improve understanding of pain mechanisms and facilitate patient phenotyping by codifying MRI-based methods that provide standardized, non-invasive assessments of spinal pathologies. Finally, these recommended procedures may facilitate the integration of better harmonized MRI data of the lumbar spine across studies and sites within and outside of BACPAC studies.

Published
2023

206. The Back Pain Consortium (BACPAC) Research Program: Structure, Research Priorities, and Methods

Author

Mauck, Matthew C, Lotz, Jeffrey, Psioda, Matthew A, Carey, Timothy S, Clauw, Daniel J, Majumdar, Sharmila, Marras, William S, Vo, Nam, Aylward, Ayleen, Hoffmeyer, Anna, Zheng, Patricia, Ivanova, Anastasia, McCumber, Micah, Carson, Christiane, Anstrom, Kevin J, Bowden, Anton E, Dalton, Diane, Derr, Leslie, Dufour, Jonathan, Fields, Aaron J, Fritz, Julie, Hassett, Afton L, Harte, Steven E, Hue, Trisha F, Krug, Roland, Loggia, Marco L, Mageswaran, Prasath, McLean, Samuel A, Mitchell, Ulrike H, O’Neill, Conor, Pedoia, Valentina, Quirk, David Adam, Rhon, Daniel I, Rieke, Viola, Shah, Lubdha, Sowa, Gwendolyn, Spiegel, Brennan, Wasan, Ajay D, Wey, Hsiao-Ying, and LaVange, Lisa

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Health Sciences, Substance Misuse, Neurosciences, Clinical Research, Pain Research, Chronic Pain, Drug Abuse (NIDA only), Good Health and Well Being, Adult, Humans, Research Design, Analgesics, Opioid, Advisory Committees, Pain Measurement, Low Back Pain, Opioid-Related Disorders, Chronic low back pain, BACPAC Research Consortium, Harmonization, Back Pain, HEAL, SMART, clinical trials, chronic disease, chronic pain, low back pain, Pharmacology and Pharmaceutical Sciences, Public Health and Health Services, Anesthesiology, Clinical sciences, Health services and systems, Clinical and health psychology
Abstract

In 2019, the National Health Interview survey found that nearly 59% of adults reported pain some, most, or every day in the past 3 months, with 39% reporting back pain, making back pain the most prevalent source of pain, and a significant issue among adults. Often, identifying a direct, treatable cause for back pain is challenging, especially as it is often attributed to complex, multifaceted issues involving biological, psychological, and social components. Due to the difficulty in treating the true cause of chronic low back pain (cLBP), an over-reliance on opioid pain medications among cLBP patients has developed, which is associated with increased prevalence of opioid use disorder and increased risk of death. To combat the rise of opioid-related deaths, the National Institutes of Health (NIH) initiated the Helping to End Addiction Long-TermSM (HEAL) initiative, whose goal is to address the causes and treatment of opioid use disorder while also seeking to better understand, diagnose, and treat chronic pain. The NIH Back Pain Consortium (BACPAC) Research Program, a network of 14 funded entities, was launched as a part of the HEAL initiative to help address limitations surrounding the diagnosis and treatment of cLBP. This paper provides an overview of the BACPAC research program's goals and overall structure, and describes the harmonization efforts across the consortium, define its research agenda, and develop a collaborative project which utilizes the strengths of the network. The purpose of this paper is to serve as a blueprint for other consortia tasked with the advancement of pain related science.

Published
2023

207. Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach

Author

Fields, Brandon KK, Demirjian, Natalie L, Cen, Steven Y, Varghese, Bino A, Hwang, Darryl H, Lei, Xiaomeng, Desai, Bhushan, Duddalwar, Vinay, and Matcuk, George R

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Biomedical Imaging, Clinical Research, Cancer, Good Health and Well Being, Humans, Retrospective Studies, Neoadjuvant Therapy, Magnetic Resonance Imaging, Sarcoma, Machine Learning, Soft tissue, Magnetic resonance imaging, Radiomics, Machine learning, Neoadjuvant chemotherapy, Physiology, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

ObjectivesTo evaluate the performance of machine learning-augmented MRI-based radiomics models for predicting response to neoadjuvant chemotherapy (NAC) in soft tissue sarcomas.MethodsForty-four subjects were identified retrospectively from patients who received NAC at our institution for pathologically proven soft tissue sarcomas. Only subjects who had both a baseline MRI prior to initiating chemotherapy and a post-treatment scan at least 2 months after initiating chemotherapy and prior to surgical resection were included. 3D ROIs were used to delineate whole-tumor volumes on pre- and post-treatment scans, from which 1708 radiomics features were extracted. Delta-radiomics features were calculated by subtraction of baseline from post-treatment values and used to distinguish treatment response through univariate analyses as well as machine learning-augmented radiomics analyses.ResultsThough only 4.74% of variables overall reached significance at p ≤ 0.05 in univariate analyses, Laws Texture Energy (LTE)-derived metrics represented 46.04% of all such features reaching statistical significance. ROC analyses similarly failed to predict NAC response, with AUCs of 0.40 (95% CI 0.22-0.58) and 0.44 (95% CI 0.26-0.62) for RF and AdaBoost, respectively.ConclusionOverall, while our result was not able to separate NAC responders from non-responders, our analyses did identify a subset of LTE-derived metrics that show promise for further investigations. Future studies will likely benefit from larger sample size constructions so as to avoid the need for data filtering and feature selection techniques, which have the potential to significantly bias the machine learning procedures.

Published
2023

209. Parent Involvement in the Science Fair: Helping Students or Hindering Equity?

Author

Fields, Erica, DeLisi, Jackie, Kook, Janna, Winfield, Lukas, and Levy, Abigail Jurist

Abstract

Science fairs have been around for decades, yet their critics question the extent to which parent involvement shapes students' investigations and creates inequitable experiences. Parent involvement in the science fair has been viewed as objectionable by parents themselves. However, research has shown that parent support can play a vital role in student learning. This article describes the results of research that explored the role of parents in middle school science fairs. Data from parent surveys and interviews, teacher interviews, and student focus groups were gathered from 21 schools across the U.S. (prepandemic) to examine patterns in parents' involvement in science fairs, including the roles parents play and whether involvement varied by parental characteristics. Findings show that parents' income and education affected their level and type of involvement, as did certain features of the science fair itself. Our findings have important implications for the structures of and equity in school-based science fairs.

Published
2022

210. Sustainable Polymers: New 4-H STEM Curricula

Author

Worker, Steven, McCambridge, Jennifer, Stevenson, Anne, Fields, Jane, Maille, Alexa, Meehan, C. L., Mondl, Amie, Malone, Charles, and Smith, Martin H.

Abstract

There are many environmental issues surrounding the global production and use of plastics. Three science curricula (Grades K-2, 3-5, and 6-8) were developed to introduce youth to the past, present, and future of plastics. Designed using research-based methods and grounded in effective science pedagogy, the curricula provide young people opportunities to explore viable alternatives to plastics and develop knowledge and skills necessary to help mitigate environmental impacts associated with the production, use and disposal of plastics. Evaluation results demonstrated that youth improved their understanding of polymers and intention to help reduce impacts of plastics on the environment.

Published
2022

211. Self-Directed Kindergarten Writers

Author

Schrodt, Katie, Barksdale, Bonnie, and Fields, R. Stacy

Abstract

This article seeks to empower teachers to create a literacy environment in which children begin to identify as writers: confident, willing to take risks, engaged, excited, persistent, resilient, resourceful, and self-starting. The teaching methods provided in the article are centered around the writer's workshop model, applied in a Kindergarten classroom in the mid-South, where the focus is on independent writing time and not a task completion. Writing was viewed as a time to dive deeper into creating meaningful messages, work on writing craft, and set goals as a writer. The methods discussed in the article can foster an environment where young children can become self-directed writers, and nurturing within them the confidence to share their stories with the world.

Published
2022

212. Control flow in active inference systems

Author

Fields, Chris, Fabrocini, Filippo, Friston, Karl, Glazebrook, James F., Hazan, Hananel, Levin, Michael, and Marciano, Antonino

Subjects
Quantitative Biology - Neurons and Cognition, Physics - Biological Physics, Quantum Physics
Abstract

Living systems face both environmental complexity and limited access to free-energy resources. Survival under these conditions requires a control system that can activate, or deploy, available perception and action resources in a context specific way. We show here that when systems are described as executing active inference driven by the free-energy principle (and hence can be considered Bayesian prediction-error minimizers), their control flow systems can always be represented as tensor networks (TNs). We show how TNs as control systems can be implmented within the general framework of quantum topological neural networks, and discuss the implications of these results for modeling biological systems at multiple scales., Comment: 44 pgs

Published
2023

213. Thermal Effects in Binary Neutron Star Mergers

Author

Fields, Jacob, Prakash, Aviral, Breschi, Matteo, Radice, David, Bernuzzi, Sebastiano, and Schneider, André da Silva

Subjects
Astrophysics - High Energy Astrophysical Phenomena, General Relativity and Quantum Cosmology
Abstract

We study the impact of finite-temperature effects in numerical-relativity simulations of binary neutron star mergers with microphysical equations of state and neutrino transport in which we vary the effective nucleon masses in a controlled way. We find that, as the specific heat is increased, the merger remnants become colder and more compact due to the reduced thermal pressure support. Using a full Bayesian analysis, we demonstrate that this effect will be measurable in the postmerger gravitational wave signal with next-generation observatories at signal-to-noise ratios of 15., Comment: 9 pages, 6 figures, accepted for publication in ApJL

Published
2023
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214. Two-pion femtoscopic correlations in Be+Be collisions at $\sqrt{s_{\textrm{NN}}} = 16.84$ GeV measured by the NA61/SHINE at CERN

Author

Collaboration, NA61/SHINE, Adhikary, H., Adrich, P., Allison, K. K., Amin, N., Andronov, E. V., Antićić, T., Arsene, I. -C., Bajda, M., Balkova, Y., Baszczyk, M., Battaglia, D., Bazgir, A., Bhosale, S., Bielewicz, M., Blondel, A., Bogomilov, M., Bondar, Y., Bostan, N., Brandin, A., Bryliński, W., Brzychczyk, J., Buryakov, M., Camino, A. F., Ćirković, M., Csanád, M., Cybowska, J., Czopowicz, T., Dalmazzone, C., Davis, N., Dmitriev, A., von Doetinchem, P., Dominik, W., Dorosz, P., Dumarchez, J., Engel, R., Feofilov, G. A., Fields, L., Fodor, Z., Friend, M., Garibov, A., Gaździcki, M., Golosov, O., Golovatyuk, V., Golubeva, M., Grebieszkow, K., Guber, F., Igolkin, S. N., Ilieva, S., Ivashkin, A., Izvestnyy, A., Kadija, K., Kargin, N., Karpushkin, N., Kashirin, E., Kiełbowicz, M., Kireyeu, V. A., Kitagawa, H., Kolesnikov, R., Kolev, D., Koshio, Y., Kovalenko, V. N., Kowalski, S., Kozłowski, B., Krasnoperov, A., Kucewicz, W., Kuchowicz, M., Kuich, M., Kurepin, A., László, A., Lewicki, M., Lykasov, G., Lyubushkin, V. V., Maćkowiak-Pawłowska, M., Majka, Z., Makhnev, A., Maksiak, B., Malakhov, A. I., Marcinek, A., Marino, A. D., Marton, K., Mathes, H. -J., Matulewicz, T., Matveev, V., Melkumov, G. L., Merzlaya, A., Mik, Ł., Morawiec, A., Morozov, S., Nagai, Y., Nakadaira, T., Naskręt, M., Nishimori, S., Ozvenchuk, V., Panova, O., Paolone, V., Petukhov, O., Pidhurskyi, I., Płaneta, R., Podlaski, P., Popov, B. A., Pórfy, B., Posiadała-Zezula, M., Prokhorova, D. S., Pszczel, D., Puławski, S., Puzović, J., Renfordt, R., Ren, L., Ortiz, V. Z. Reyna, Röhrich, D., Rondio, E., Roth, M., Rozpłochowski, Ł., Rumberger, B. T., Rumyantsev, M., Rustamov, A., Rybczynski, M., Rybicki, A., Sakashita, K., Schmidt, K., Seryakov, A. Yu., Seyboth, P., Shah, U. A., Shiraishi, Y., Shukla, A., Słodkowski, M., Staszel, P., Stefanek, G., Stepaniak, J., Strikhanov, M., Ströbele, H., Šuša, T., Świderski, Ł., Szewiński, J., Szukiewicz, R., Taranenko, A., Tefelska, A., Tefelski, D., Tereshchenko, V., Toia, A., Tsenov, R., Turko, L., Tveter, T. S., Unger, M., Urbaniak, M., Valiev, F. F., Veberič, D., Vechernin, V. V., Volkov, V., Wickremasinghe, A., Wójcik, K., Wyszyński, O., Zaitsev, A., Zimmerman, E. D., Zviagina, A., and Zwaska, R.

Subjects
Nuclear Experiment, High Energy Physics - Experiment
Abstract

This paper reports measurements of two-pion Bose-Einstein (HBT) correlations in Be+Be collisions at a beam momentum of 150$A\,\mbox{GeV}/\textit{c}$ by the $\mbox{NA61/SHINE}$ experiment at the CERN SPS accelerator. The obtained momentum space correlation functions can be well described by a L\'evy distributed source model. The transverse mass dependence of the L\'evy source parameters is presented, and their possible theoretical interpretations are discussed. The results show that the L\'evy exponent $\alpha$ is approximately constant as a function of $m_{\rm{T}}$ , and far from both the Gaussian case of $\alpha = 2$ or the conjectured value at the critical endpoint, $\alpha = 0.5$. The radius scale parameter $R$ shows a slight decrease in $m_{\rm{T}}$, which can be explained as a signature of transverse flow. Finally, an approximately constant trend of the intercept parameter $\lambda$ as a function of $m_{\rm{T}}$ was observed, different from measurement results at RHIC.

Published
2023
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215. Data Preservation in High Energy Physics

Author

Basaglia, T., Bellis, M., Blomer, J., Boyd, J., Bozzi, C., Britzger, D., Campana, S., Cartaro, C., Chen, G., Couturier, B., David, G., Diaconu, C., Dobrin, A., Duellmann, D., Ebert, M., Elmer, P., Fernandes, J., Fields, L., Fokianos, P., Ganis, G., Geiser, A., Gheata, M., Lopez, J. B. Gonzalez, Hara, T., Heinrich, L., Herner, K., Hildreth, M., Jayatilaka, B., Kado, M., Keeble, O., Kohls, A., Naim, K., Lange, C., Lassila-Perini, K., Levonian, S., Maggi, M., Marshall, Z., Vila, P. Mato, Mečionis, A., Morris, A., Piano, S., Potekhin, M., Schröder, M., Schwickerath, U., Sexton-Kennedy, E., Šimko, T., Smith, T., South, D., Verbytskyi, A., Vidal, M., Vivace, A., Wang, L., Watt, G., and Wenaus, T.

Subjects
High Energy Physics - Experiment
Abstract

Data preservation is a mandatory specification for any present and future experimental facility and it is a cost-effective way of doing fundamental research by exploiting unique data sets in the light of the continuously increasing theoretical understanding. This document summarizes the status of data preservation in high energy physics. The paradigms and the methodological advances are discussed from a perspective of more than ten years of experience with a structured effort at international level. The status and the scientific return related to the preservation of data accumulated at large collider experiments are presented, together with an account of ongoing efforts to ensure long-term analysis capabilities for ongoing and future experiments. Transverse projects aimed at generic solutions, most of which are specifically inspired by open science and FAIR principles, are presented as well. A prospective and an action plan are also indicated.

Published
2023
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216. HIP 33609 b: An Eccentric Brown Dwarf Transiting a V=7.3 Rapidly Rotating B-Star

Author

Vowell, Noah, Rodriguez, Joseph E., Quinn, Samuel N., Zhou, George, Vanderburg, Andrew, Mann, Andrew W., Hooton, Matthew J., Stassun, Keivan G., Howard, Saburo, Bieryla, Allyson, Latham, David W., Howell, Steve B., Guillot, Tristan, Ziegler, Carl, Collins, Karen A., Carmichael, Theron W., Jenkins, Jon M., Shporer, Avi, ABE, Lyu, Bendjoya, Philippe, Bush, Jonathan L., Buttu, Marco, Collins, Kevin I., Eastman, Jason D., Fields, Matthew J., Gasparetto, Thomas, Günther, Maximilian N., Kostov, Veselin B., Kraus, Adam L., Lester, Kathryn V., Levine, Alan M., Littlefield, Colin, Marie-Saint, Wenceslas, Mékarnia, Djamel, Osborn, Hugh P., Rapetti, David, Ricker, George R., Seager, S., Srdoc, Gregor, Suarez, Olga, Torres, Guillermo, Triaud, Amaury H. M. J., Vanderspek, R., and Winn, Joshua N.

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

We present the discovery and characterization of HIP 33609 b, a transiting warm brown dwarf orbiting a late B star, discovered by NASA's Transiting Exoplanet Survey Satellite TESS as TOI-588 b. HIP 33609 b is a large (R$_{b}$ = 1.580$_{-0.070}^{+0.074}$ R$_{J}$) brown dwarf on a highly eccentric (e = 0.560$_{-0.031}^{+0.029}$) orbit with a 39-day period. The host star is a bright (V = 7.3 mag), T$_{eff}$ = 10,400$_{-660}^{+800}$ K star with a mass of M$_{*}$ = 2.383$_{-0.095}^{+0.10}$ M$_{\odot}$ and radius of R$_{*}$ = 1.863$_{-0.082}^{+0.087}$ R$_{\odot}$, making it the hottest transiting brown dwarf host star discovered to date. We obtained radial velocity measurements from the CHIRON spectrograph confirming the companion's mass of M$_{b}$ = 68.0$_{-7.1}^{+7.4}$ M$_{J}$ as well as the host star's rotation rate ($vsini_{*} = 55.6 \pm 1.8$ km/s). We also present the discovery of a new comoving group of stars, designated as MELANGE-6, and determine that HIP 33609 is a member. We use a combination of rotation periods and isochrone models fit to the cluster members to estimate an age of 150 $\pm$ 25 Myr. With a measured mass, radius, and age, HIP 33609 b becomes a benchmark for substellar evolutionary models., Comment: 16 pages, 5 figures, 4 tables, Submitted to AAS Journals

Published
2023
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217. Simultaneous measurement of muon neutrino quasielastic-like cross sections on CH, C, water, Fe, and Pb as a function of muon kinematics at MINERvA

Author

Kleykamp, J., Akhter, S., Dar, Z. Ahmad, Ansari, V., Ascencio, M. V., Athar, M. Sajjad, Bashyal, A., Bercellie, A., Betancourt, M., Bodek, A., Bonilla, J. L., Bravar, A., Budd, H., Caceres, G., Cai, T., Carneiro, M. F., Díaz, G. A., da Motta, H., Dytman, S. A., Felix, J., Fields, L., Filkins, A., Fine, R., Gago, A. M., Gallagher, H., Gilligan, S. M., Gran, R., Granados, E., Harris, D. A., Henry, S., Jena, D., Jena, S., Klustová, A., Kordosky, M., Last, D., Lozano, A., Lu, X. -G., Maher, E., Manly, S., Mann, W. A., Mauger, C., McFarland, K. S., Messerly, B., Miller, J., Moreno, O., Morfín, J. G., Naples, D., Nelson, J. K., Nguyen, C., Olivier, A., Paolone, V., Perdue, G. N., Plows, K. -J., Ramírez, M. A., Ransome, R. D., Ray, H., Ruterbories, D., Schellman, H., Salinas, C. J. Solano, Su, H., Sultana, M., Syrotenko, V. S., Valencia, E., Vaughan, N. H., Waldron, A. V., Wret, C., Yaeggy, B., and Zazueta, L.

Subjects
High Energy Physics - Experiment
Abstract

This paper presents the first simultaneous measurement of the quasielastic-like neutrino-nucleus cross sections on C, water, Fe, Pb and scintillator (hydrocarbon or CH) as a function of longitudinal and transverse muon momentum. The ratio of cross sections per nucleon between Pb and CH is always above unity and has a characteristic shape as a function of transverse muon momentum that evolves slowly as a function of longitudinal muon momentum. The ratio is constant versus longitudinal momentum within uncertainties above a longitudinal momentum of 4.5GeV/c. The cross section ratios to CH for C, water, and Fe remain roughly constant with increasing longitudinal momentum, and the ratios between water or C to CH do not have any significant deviation from unity. Both the overall cross section level and the shape for Pb and Fe as a function of transverse muon momentum are not reproduced by current neutrino event generators. These measurements provide a direct test of nuclear effects in quasielastic-like interactions, which are major contributors to long-baseline neutrino oscillation data samples., Comment: 9 pages, 8 flgures, including supplemental material

Published
2023
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218. Neutrinoless Double Beta Decay

Author

Adams, C., Alfonso, K., Andreoiu, C., Angelico, E., Arnquist, I. J., Asaadi, J. A. A., Avignone, F. T., Axani, S. N., Barabash, A. S., Barbeau, P. S., Baudis, L., Bellini, F., Beretta, M., Bhatta, T., Biancacci, V., Biassoni, M., Bossio, E., Breur, P. A., Brodsky, J. P., Brofferio, C., Brown, E., Brugnera, R., Brunner, T., Burlac, N., Caden, E., Calgaro, S., Cao, G. F., Cao, L., Capelli, C., Cardani, L., Fernandez, R. Castillo, Cattadori, C. M., Chana, B., Chernyak, D., Christofferson, C. D., Chu, P. -H., Church, E., Cirigliano, V., Collister, R., Comellato, T., Dalmasson, J., D'Andrea, V., Daniels, T., Darroch, L., Decowski, M. P., Demarteau, M., Peixoto, S. De Meireles, Detwiler, J. A., DeVoe, R. G., Di Domizio, S., Di Marco, N., di Vacri, M. L., Dolinski, M. J., Efremenko, Yu., Elbeltagi, M., Elliott, S. R., Engel, J., Fabris, L., Fairbank, W. M., Farine, J., Febbraro, M., Figueroa-Feliciano, E., Fields, D. E., Formaggio, J. A., Foust, B. T., Franke, B., Fu, Y., Fujikawa, B. K., Gallacher, D., Gallina, G., Garfagnini, A., Gingras, C., Gironi, L., Giuliani, A., Gold, M., Gornea, R., Grant, C., Gratta, G., Green, M. P., Grinyer, G. F., Gruszko, J., Guan, Y., Guinn, I. S., Guiseppe, V. E., Gutierrez, T. D., Hansen, E. V., Hardy, C. A., Hauptman, J., Heffner, M., Heeger, K. M., Henning, R., Hergert, H., Aguilar, D. Hervas, Hodak, R., Holt, J. D., Hoppe, E. W., Horoi, M., Huang, H. Z., Inoue, K., Jamil, A., Jochum, J., Jones, B. J. P., Kaizer, J., Karapetrov, G., Kharusi, S. Al, Kidd, M. F., Kishimoto, Y., Klein, J. R., Kolomensky, Yu. G., Kontul, I., Kornoukhov, V. N., Krause, P., Krucken, R., Kumar, K. S., Lang, K., Leach, K. G., Lenardo, B. G., Leonhardt, A., Li, A., Li, G., Li, Z., Licciardi, C., Lindsay, R., Lippi, I., Liu, J., Macko, M., MacLellan, R., Macolino, C., Majidi, S., Mamedov, F., Masbou, J., Massarczyk, R., Mastbaum, A. T., Mayer, D., Mazumdar, A., Mei, D. M., Mei, Y., Meijer, S. J., Mereghetti, E., Mertens, S., Mistry, K., Mitsui, T., Moore, D. C., Morella, M., Nattress, J. T., Neuberger, M., Ngwadla, X. E., Nones, C., Novosad, V., Nygren, D. R., Ondze, J. C. Nzobadila, O'Donnell, T., Gann, G. D. Orebi, Orrell, J. L., Ortega, G. S., Ouellet, J. L., Overman, C., Pagani, L., Palusova, V., Para, A., Pavan, M., Perna, A., Pertoldi, L., Pettus, W., Piepke, A., Piseri, P., Pocar, A., Povinec, P., Psihas, F., Pullia, A., Radford, D. C., Ramonnye, G. J, Rasiwala, H., Redchuk, M., Riboldi, S., Richardson, G., Rielage, K., Rogers, L., Rowson, P. C., Rukhadze, E., Saakyan, R., Sada, C., Salamanna, G., Salamida, F., Saldanha, R., Salvat, D. J., Sangiorgio, S., Schaper, D. C., Schoenert, S., Schwarz, M., Schwartz, S. E., Shitov, Y., Simkovic, F., Singh, V., Slavickova, M., Sousa, A. C., Spadoni, F. L., Speller, D. H., Stekl, I., Sumathi, R. R., Surukuchi, P. T., Tayloe, R., Tornow, W., Torres, J. A., Totev, T. I., Triambak, S., Tyuka, O. A., Vasilyev, S. I., Velazquez, M., Viel, S., Vogl, C., von Strum, K., Wang, Q., Waters, D., Watkins, S. L., Watts, M., Wei, W. -Z., Welliver, B., Wen, Liangjian, Wichoski, U., Wilde, S., Wilkerson, J. F., Winslow, L., Wiseman, C., Wu, X., Xu, W., Yang, H., Yang, L., Yu, C. H., Zeman, J., Zennamo, J., and Zuzel, G.

Subjects
Nuclear Experiment, Nuclear Theory
Abstract

This White Paper, prepared for the Fundamental Symmetries, Neutrons, and Neutrinos Town Meeting related to the 2023 Nuclear Physics Long Range Plan, makes the case for double beta decay as a critical component of the future nuclear physics program. The major experimental collaborations and many theorists have endorsed this white paper., Comment: white paper submitted for the Fundamental Symmetries, Neutrons, and Neutrinos Town Meeting in support of the US Nuclear Physics Long Range Planning Process

Published
2022

219. Highly-parallelized simulation of a pixelated LArTPC on a GPU

Author

DUNE Collaboration, Abud, A. Abed, Abi, B., Acciarri, R., Acero, M. A., Adames, M. R., Adamov, G., Adamowski, M., Adams, D., Adinolfi, M., Adriano, C., Aduszkiewicz, A., Aguilar, J., Ahmad, Z., Ahmed, J., Aimard, B., Akbar, F., Allison, K., Monsalve, S. Alonso, Alrashed, M., Alt, C., Alton, A., Alvarez, R., Amedo, P., Anderson, J., Andrade, D. A., Andreopoulos, C., Andreotti, M., Andrews, M. P., Andrianala, F., Andringa, S., Anfimov, N., Campanelli, W. L. Anicézio, Ankowski, A., Antoniassi, M., Antonova, M., Antoshkin, A., Antusch, S., Aranda-Fernandez, A., Arellano, L., Arnold, L. O., Arroyave, M. A., Asaadi, J., Ashkenazi, A., Asquith, L., Aurisano, A., Aushev, V., Autiero, D., Ayala-Torres, M., Azfar, F., Back, A., Back, H., Back, J. J., Bagaturia, I., Bagby, L., Balashov, N., Balasubramanian, S., Baldi, P., Baldini, W., Baller, B., Bambah, B., Barao, F., Barenboim, G., Alzás, P. Barham, Barker, G. J., Barkhouse, W., Barnes, C., Barr, G., Monarca, J. Barranco, Barros, A., Barros, N., Barrow, J. L., Basharina-Freshville, A., Bashyal, A., Basque, V., Batchelor, C., Battat, J. B. R., Battisti, F., Bay, F., Bazetto, M. C. Q., Alba, J. L. L. Bazo, Beacom, J. F., Bechetoille, E., Behera, B., Belchior, E., Bellantoni, L., Bellettini, G., Bellini, V., Beltramello, O., Benekos, N., Montiel, C. Benitez, Benjamin, D., Neves, F. Bento, Berger, J., Berkman, S., Bernardini, P., Berner, R. M., Bersani, A., Bertolucci, S., Betancourt, M., Rodríguez, A. Betancur, Bevan, A., Bezawada, Y., Bezerra, A. T., Bezerra, T. J., Bhambure, J., Bhardwaj, A., Bhatnagar, V., Bhattacharjee, M., Bhattacharya, M., Bhattarai, D., Bhuller, S., Bhuyan, B., Biagi, S., Bian, J., Biassoni, M., Biery, K., Bilki, B., Bishai, M., Bisignani, V., Bitadze, A., Blake, A., Blaszczyk, F. D., Blazey, G. C., Blend, D., Blucher, E., Boissevain, J., Bolognesi, S., Bolton, T., Bomben, L., Bonesini, M., Bonilla-Diaz, C., Bonini, F., Booth, A., Boran, F., Bordoni, S., Borkum, A., Bostan, N., Bour, P., Boyden, D., Bracinik, J., Braga, D., Brailsford, D., Branca, A., Brandt, A., Bravo-Moreno, M., Bremer, J., Brew, C., Brice, S. J., Brizzolari, C., Bromberg, C., Brooke, J., Bross, A., Brunetti, G., Brunetti, M., Buchanan, N., Budd, H., Buergi, J., V., G. Caceres, Cagnoli, I., Cai, T., Caiulo, D., Calabrese, R., Calafiura, P., Calcutt, J., Calin, M., Calivers, L., Calvez, S., Calvo, E., Caminata, A., Caratelli, D., Carber, D., Carceller, J. C., Carini, G., Carlus, B., Carneiro, M. F., Carniti, P., Terrazas, I. Caro, Carranza, H., Carrara, N., Carroll, L., Carroll, T., Carter, A., Forero, J. F. Castaño, Castillo, A., Catano-Mur, E., Cattadori, C., Cavalier, F., Cavallaro, G., Cavanna, F., Centro, S., Cerati, G., Cervelli, A., Villanueva, A. Cervera, Chakraborty, K., Chalifour, M., Chappell, A., Chardonnet, E., Charitonidis, N., Chatterjee, A., Chattopadhyay, S., Chen, H., Chen, M., Chen, Y., Chen, Z., Chen-Wishart, Z., Cheon, Y., Cherdack, D., Chi, C., Childress, S., Chirco, R., Chiriacescu, A., Chitirasreemadam, N., Cho, K., Choate, S., Chokheli, D., Chong, P. S., Chowdhury, B., Christensen, A., Christian, D., Christodoulou, G., Chukanov, A., Chung, M., Church, E., Cicero, V., Clapa, D., Clarke, P., Cline, G., Coan, T. E., Cocco, A. G., Coelho, J. A. B., Cohen, A., Collot, J., Conley, E., Conrad, J. M., Convery, M., Copello, S., Cova, P., Cox, C., Cremaldi, L., Cremonesi, L., Crespo-Anadón, J. I., Crisler, M., Cristaldo, E., Crnkovic, J., Crone, G., Cross, R., Cudd, A., Cuesta, C., Cui, Y., Cussans, D., Dai, J., Dalager, O., Dallavalle, R., da Motta, H., Dar, Z. A., Darby, R., Peres, L. Da Silva, David, C., David, Q., Davies, G. S., Davini, S., Dawson, J., De, K., De, S., De Aguiar, R., De Almeida, P., Debbins, P., De Bonis, I., Decowski, M. P., de Gouvêa, A., De Holanda, P. C., Astiz, I. L. De Icaza, Deisting, A., De Jong, P., De la Torre, A., Delbart, A., De Leo, V., Delepine, D., Delgado, M., Dell'Acqua, A., Delmonte, N., De Lurgio, P., Neto, J. R. T. de Mello, DeMuth, D. M., Dennis, S., Densham, C., Denton, P., Deptuch, G. W., De Roeck, A., De Romeri, V., De Souza, G., Detje, J. P., Devi, R., Dharmapalan, R., Dias, M., Díaz, J. S., Díaz, F., Di Capua, F., Di Domenico, A., Di Domizio, S., Di Falco, S., Di Giulio, L., Ding, P., Di Noto, L., Diociaiuti, E., Distefano, C., Diurba, R., Diwan, M., Djurcic, Z., Doering, D., Dolan, S., Dolek, F., Dolinski, M. J., Domenici, D., Domine, L., Donati, S., Donon, Y., Doran, S., Douglas, D., Dragone, A., Drielsma, F., Duarte, L., Duchesneau, D., Duffy, K., Dugas, K., Dunne, P., Dutta, B., Duyang, H., Dvornikov, O., Dwyer, D. A., Dyshkant, A. S., Eads, M., Earle, A., Edmunds, D., Eisch, J., Emberger, L., Englezos, P., Ereditato, A., Erjavec, T., Escobar, C. O., Evans, J. J., Ewart, E., Ezeribe, A. C., Fahey, K., Fajt, L., Falcone, A., Fani', M., Farnese, C., Farzan, Y., Fedoseev, D., Felix, J., Feng, Y., Fernandez-Martinez, E., Ferraro, F., Fields, L., Filip, P., Filkins, A., Filthaut, F., Fine, R., Fiorillo, G., Fiorini, M., Fischer, V., Fitzpatrick, R. S., Flanagan, W., Fleming, B., Flight, R., Fogarty, S., Foreman, W., Fowler, J., Franc, J., Franco, D., Freeman, J., Fried, J., Friedland, A., Fuess, S., Furic, I. K., Furman, K., Furmanski, A. P., Gabrielli, A., Gago, A., Gallagher, H., Gallas, A., Gallego-Ros, A., Gallice, N., Galymov, V., Gamberini, E., Gamble, T., Ganacim, F., Gandhi, R., Ganguly, S., Gao, F., Gao, S., Garcia-Gamez, D., García-Peris, M. Á., Gardiner, S., Gastler, D., Gauch, A., Gauvreau, J., Gauzzi, P., Ge, G., Geffroy, N., Gelli, B., Gendotti, A., Gent, S., Gerlach, L., Ghorbani-Moghaddam, Z., Giammaria, P., Giammaria, T., Giangiacomi, N., Gibin, D., Gil-Botella, I., Gilligan, S., Gioiosa, A., Giovannella, S., Girerd, C., Giri, A. K., Gnani, D., Gogota, O., Gold, M., Gollapinni, S., Gollwitzer, K., Gomes, R. A., Bermeo, L. V. Gomez, Fajardo, L. S. Gomez, Gonnella, F., Gonzalez-Diaz, D., Gonzalez-Lopez, M., Goodman, M. C., Goodwin, O., Goswami, S., Gotti, C., Goudeau, J., Goudzovski, E., Grace, C., Gran, R., Granados, E., Granger, P., Grant, C., Gratieri, D., Green, P., Greenberg, S., Greenler, L., Greer, J., Grenard, J., Griffith, W. C., Groetschla, F. T., Groh, M., Grzelak, K., Gu, W., Guarino, V., Guarise, M., Guenette, R., Guerard, E., Guerzoni, M., Guffanti, D., Guglielmi, A., Guo, B., Gupta, A., Gupta, V., Guthikonda, K. K., Guzowski, P., Guzzo, M. M., Gwon, S., Ha, C., Haaf, K., Habig, A., Hadavand, H., Hadef, A., Haenni, R., Hagaman, L., Hahn, A., Haiston, J., Hamacher-Baumann, P., Hamernik, T., Hamilton, P., Han, J., Hancock, J., Happacher, F., Harris, D. A., Hartnell, J., Hartnett, T., Harton, J., Hasegawa, T., Hasnip, C., Hatcher, R., Hatfield, K. W., Hatzikoutelis, A., Hayes, C., Hayrapetyan, K., Hays, J., Hazen, E., He, M., Heavey, A., Heeger, K. M., Heise, J., Henry, S., Morquecho, M. A. Hernandez, Herner, K., Hewes, V., Hilgenberg, C., Hill, T., Hillier, S. J., Himmel, A., Hinkle, E., Hirsch, L. R., Ho, J., Hoff, J., Holin, A., Holvey, T., Hoppe, E., Horton-Smith, G. A., Hostert, M., Houdy, T., Hourlier, A., Howard, B., Howell, R., Barrios, J. Hoyos, Hristova, I., Hronek, M. S., Huang, J., Huang, R. G., Hulcher, Z., Iles, G., Ilic, N., Iliescu, A. M., Illingworth, R., Ingratta, G., Ioannisian, A., Irwin, B., Isenhower, L., Oliveira, M. Ismerio, Itay, R., Jackson, C. M., Jain, V., James, E., Jang, W., Jargowsky, B., Jediny, F., Jena, D., Jeong, Y. S., Jesús-Valls, C., Ji, X., Jiang, J., Jiang, L., Jipa, A., Jo, J. H., Joaquim, F. R., Johnson, W., Jones, B., Jones, R., Jovancevic, N., Judah, M., Jung, C. K., Junk, T., Jwa, Y., Kabirnezhad, M., Kaboth, A., Kadenko, I., Kakorin, I., Kalitkina, A., Kalra, D., Koseyan, O. Kamer, Kamiya, F., Kaplan, D. M., Karagiorgi, G., Karaman, G., Karcher, A., Karyotakis, Y., Kasai, S., Kasetti, S. P., Kashur, L., Katsioulas, I., Kazaryan, N., Kearns, E., Keener, P., Kelly, K. J., Kemp, E., Kemularia, O., Kermaidic, Y., Ketchum, W., Kettell, S. H., Khabibullin, M., Khotjantsev, A., Khvedelidze, A., Kim, D., King, B., Kirby, B., Kirby, M., Klein, J., Kleykamp, J., Klustova, A., Kobilarcik, T., Koehler, K., Koerner, L. W., Koh, D. H., Kohn, S., Koller, P. P., Kolupaeva, L., Korablev, D., Kordosky, M., Kosc, T., Kose, U., Kostelecký, V. A., Kothekar, K., Kotler, I., Kozhukalov, V., Kralik, R., Kreczko, L., Krennrich, F., Kreslo, I., Kropp, W., Kroupova, T., Kubu, M., Kudenko, Y., Kudryavtsev, V. A., Kuhlmann, S., Kulagin, S., Kumar, J., Kumar, P., Kunze, P., Kuravi, R., Kurita, N., Kuruppu, C., Kus, V., Kutter, T., Kvasnicka, J., Kwak, D., Lambert, A., Land, B. J., Lane, C. E., Lang, K., Langford, T., Langstaff, M., Lanni, F., Lantwin, O., Larkin, J., Lasorak, P., Last, D., Laundrie, A., Laurenti, G., Lawrence, A., Laycock, P., Lazanu, I., Lazzaroni, M., Le, T., Leardini, S., Learned, J., LeBrun, P., LeCompte, T., Lee, C., Legin, V., Miotto, G. Lehmann, Lehnert, R., de Oliveira, M. A. Leigui, Leitner, M., Lepin, L. M., Li, S. W., Li, Y., Liao, H., Lin, C. S., Lin, S., Lindebaum, D., Lineros, R. A., Ling, J., Lister, A., Littlejohn, B. R., Liu, J., Liu, Y., Lockwitz, S., Loew, T., Lokajicek, M., Lomidze, I., Long, K., Lord, T., LoSecco, J. M., Louis, W. C., Lu, X. -G., Luk, K. B., Lunday, B., Luo, X., Luppi, E., Lux, T., Luzio, V. P., Maalmi, J., MacFarlane, D., Machado, A. A., Machado, P., Macias, C. T., Macier, J. R., MacMahon, M., Maddalena, A., Madera, A., Madigan, P., Magill, S., Mahn, K., Maio, A., Major, A., Majumdar, K., Maloney, J. A., Man, M., Mandrioli, G., Mandujano, R. C., Maneira, J., Manenti, L., Manly, S., Mann, A., Manolopoulos, K., Plata, M. Manrique, Manyam, V. N., Marchan, M., Marchionni, A., Marciano, W., Marfatia, D., Mariani, C., Maricic, J., Marinho, F., Marino, A. D., Markiewicz, T., Marsden, D., Marshak, M., Marshall, C. M., Marshall, J., Marteau, J., Martín-Albo, J., Martinez, N., Caicedo, D. A. Martinez, López, F. Martínez, Miravé, P. Martínez, Martynenko, S., Mascagna, V., Mason, K., Mastbaum, A., Matichard, F., Matsuno, S., Matthews, J., Mauger, C., Mauri, N., Mavrokoridis, K., Mawby, I., Mazza, R., Mazzacane, A., McAskill, T., McCluskey, E., McConkey, N., McFarland, K. 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J., Patzak, T., Paudel, A., Paulucci, L., Pavlovic, Z., Pawloski, G., Payne, D., Pec, V., Peeters, S. J. M., Perez, A. Pena, Pennacchio, E., Penzo, A., Peres, O. L. G., Gonzalez, Y. F. Perez, Pérez-Molina, L., Pernas, C., Perry, J., Pershey, D., Pessina, G., Petrillo, G., Petta, C., Petti, R., Pia, V., Piastra, F., Pickering, L., Pietropaolo, F., Pimentel, V. L., Pinaroli, G., Plows, K., Plunkett, R., Pollman, T., Pompa, F., Pons, X., Poonthottathil, N., Poppi, F., Pordes, S., Porter, J., Potekhin, M., Potenza, R., Potukuchi, B. V. K. S., Pozimski, J., Pozzato, M., Prakash, S., Prakash, T., Pratt, C., Prest, M., Psihas, F., Pugnere, D., Qian, X., Raaf, J. L., Radeka, V., Rademacker, J., Radev, R., Radics, B., Rafique, A., Raguzin, E., Rai, M., Rajaoalisoa, M., Rakhno, I., Rakotonandrasana, A., Rakotondravohitra, L., Rameika, R., Delgado, M. A. Ramirez, Ramson, B., Rappoldi, A., Raselli, G., Ratoff, P., Raut, S., Razafinime, H., Razakamiandra, R. F., Rea, E. M., Real, J. S., Rebel, B., Rechenmacher, R., Reggiani-Guzzo, M., Reichenbacher, J., Reitzner, S. D., Sfar, H. Rejeb, Renshaw, A., Rescia, S., Resnati, F., Ribas, M., Riboldi, S., Riccio, C., Riccobene, G., Rice, L. C. J., Ricol, J. S., Rigamonti, A., Rigaut, Y., Rincón, E. V., Ritchie-Yates, A., Rivera, D., Rivera, R., Robert, A., Rocha, J. L. Rocabado, Rochester, L., Roda, M., Rodrigues, P., Alonso, M. J. Rodriguez, Rondon, J. Rodriguez, Romeo, E., Rosauro-Alcaraz, S., Rosier, P., Rossella, M., Rossi, M., Ross-Lonergan, M., Rout, J., Roy, P., Rubbia, A., Rubbia, C., Ferreira, G. Ruiz, Russell, B., Ruterbories, D., Rybnikov, A., Saa-Hernandez, A., Saakyan, R., Sacerdoti, S., Sahu, N., Sala, P., Samios, N., Samoylov, O., Sanchez, M. C., Sandberg, V., Sanders, D. A., Sankey, D., Santoro, D., Saoulidou, N., Sapienza, P., Sarasty, C., Sarcevic, I., Sarra, I., Savage, G., Savinov, V., Scanavini, G., Scaramelli, A., Scarff, A., Scarpelli, A., Schefke, T., Schellman, H., Schifano, S., Schlabach, P., Schmitz, D., Schneider, A. W., Scholberg, K., Schukraft, A., Segreto, E., Selyunin, A., Senise, C. R., Sensenig, J., Sgalaberna, D., Shaevitz, M. H., Shafaq, S., Shaker, F., Shamma, M., Shanahan, P., Sharankova, R., Sharma, H. R., Sharma, R., Kumar, R., Shaw, K., Shaw, T., Shchablo, K., Shepherd-Themistocleous, C., Sheshukov, A., Shi, W., Shin, S., Shoemaker, I., Shooltz, D., Shrock, R., Silber, J., Simard, L., Sinclair, J., Sinev, G., Singh, Jaydip, Singh, J., Singh, L., Singh, P., Singh, V., Chauhan, S. Singh, Sipos, R., Sirri, G., Sitraka, A., Siyeon, K., Skarpaas, K., Smith, E., Smith, P., Smolik, J., Smy, M., Snider, E. L., Snopok, P., Snowden-Ifft, D., Nunes, M. Soares, Sobel, H., Soderberg, M., Sokolov, S., Salinas, C. J. Solano, Söldner-Rembold, S., Soleti, S. R., Solomey, N., Solovov, V., Sondheim, W. E., Sorel, M., Sotnikov, A., Soto-Oton, J., Sousa, A., Soustruznik, K., Spagliardi, F., Spanu, M., Spitz, J., Spooner, N. J. C., Spurgeon, K., Stalder, D., Stancari, M., Stanco, L., Steenis, J., Stein, R., Steiner, H. M., Lisbôa, A. F. Steklain, Stepanova, A., Stewart, J., Stillwell, B., Stock, J., Stocker, F., Stokes, T., Strait, M., Strauss, T., Strigari, L., Stuart, A., Suarez, J. G., Subash, J., Surdo, A., Susic, V., Suter, L., Sutera, C. M., Sutton, K., Suvorov, Y., Svoboda, R., Swain, S. K., Szczerbinska, B., Szelc, A. M., Taffara, A., Talukdar, N., Tamara, J., Tanaka, H. A., Tang, S., Taniuchi, N., Oregui, B. Tapia, Tapper, A., Tariq, S., Tarpara, E., Tata, N., Tatar, E., Tayloe, R., Teklu, A. M., Tennessen, P., Tenti, M., Terao, K., Terranova, F., Testera, G., Thakore, T., Thea, A., Thompson, A., Thorn, C., Timm, S. C., Tishchenko, V., Todorović, N., Tomassetti, L., Tonazzo, A., Torbunov, D., Torti, M., Tortola, M., Tortorici, F., Tosi, N., Totani, D., Toups, M., Touramanis, C., Travaglini, R., Trevor, J., Trilov, S., Trzaska, W. H., Tsai, Y., Tsai, Y. -T., Tsamalaidze, Z., Tsang, K. V., Tsverava, N., Tu, S. Z., Tufanli, S., Tull, C., Turner, J., Tuzi, M., Tyler, J., Tyley, E., Tzanov, M., Uboldi, L., Uchida, M. A., Urheim, J., Usher, T., Utaegbulam, H., Uzunyan, S., Vagins, M. R., Vahle, P., Valder, S., Valdiviesso, G. A., Valencia, E., Valentim, R., Vallari, Z., Vallazza, E., Valle, J. W. F., Vallecorsa, S., Van Berg, R., Van de Water, R. G., Forero, D. Vanegas, Vannerom, D., Varanini, F., Oliva, D. Vargas, Varner, G., Vasina, S., Vaughan, N., Vaziri, K., Vega, J., Ventura, S., Verdugo, A., Vergani, S., Vermeulen, M. A., Verzocchi, M., Vicenzi, M., de Souza, H. Vieira, Vignoli, C., Vilela, C., Viren, B., Vizcaya-Hernandez, A., Vrba, T., Vuong, Q., Wachala, T., Waldron, A. V., Wallbank, M., Walton, T., Wang, H., Wang, J., Wang, L., Wang, M. H. L. S., Wang, X., Wang, Y., Warburton, K., Warner, D., Wascko, M. O., Waters, D., Watson, A., Wawrowska, K., Weatherly, P., Weber, A., Weber, M., Wei, H., Weinstein, A., Wenman, D., Wetstein, M., Whilhelmi, J., White, A., Whitehead, L. H., Whittington, D., Wilking, M. J., Wilkinson, A., Wilkinson, C., Williams, Z., Wilson, F., Wilson, R. J., Wisniewski, W., Wolcott, J., Wolfs, J., Wongjirad, T., Wood, A., Wood, K., Worcester, E., Worcester, M., Wospakrik, M., Wresilo, K., Wret, C., Wu, S., Wu, W., Wurm, M., Wyenberg, J., Xiao, Y., Xiotidis, I., Yaeggy, B., Yahlali, N., Yandel, E., Yang, G., Yang, K., Yang, T., Yankelevich, A., Yershov, N., Yonehara, K., Yoon, Y. S., Young, T., Yu, B., Yu, H., Yu, J., Yu, Y., Yuan, W., Zaki, R., Zalesak, J., Zambelli, L., Zamorano, B., Zani, A., Zazueta, L., Zeller, G. P., Zennamo, J., Zeug, K., Zhang, C., Zhang, S., Zhang, Y., Zhao, M., Zhivun, E., Zimmerman, E. D., Zucchelli, S., Zuklin, J., Zutshi, V., and Zwaska, R.

Subjects
Physics - Computational Physics, Physics - Instrumentation and Detectors
Abstract

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on $10^3$ pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype., Comment: 26 pages, 15 figures

Published
2022

220. Resolving Open-textured Rules with Templated Interpretive Arguments

Author

Licato, John, Fields, Logan, and Marji, Zaid

Subjects
Computer Science - Computation and Language
Abstract

Open-textured terms in written rules are typically settled through interpretive argumentation. Ongoing work has attempted to catalogue the schemes used in such interpretive argumentation. But how can the use of these schemes affect the way in which people actually use and reason over the proper interpretations of open-textured terms? Using the interpretive argument-eliciting game Aporia as our framework, we carried out an empirical study to answer this question. Differing from previous work, we did not allow participants to argue for interpretations arbitrarily, but to only use arguments that fit with a given set of interpretive argument templates. Finally, we analyze the results captured by this new dataset, specifically focusing on practical implications for the development of interpretation-capable artificial reasoners., Comment: Presented at the 2022 European Conference on Argumentation (ECA)

Published
2022

221. TESS Hunt for Young and Maturing Exoplanets (THYME) IX: a 27 Myr extended population of Lower-Centaurus Crux with a transiting two-planet system

Author

Wood, Mackenna L., Mann, Andrew W., Barber, Madyson G., Bush, Jonathan L., Kraus, Adam L., Tofflemire, Benjamin M., Vanderburg, Andrew, Newton, Elisabeth R., Feiden, Gregory A., Zhou, George, Bouma, Luke G., Quinn, Samuel N., Armstrong, David J., Osborn, Ares, Adibekyan, Vardan, Mena, Elisa Delgado, Sousa, Sergio G., Gagné, Jonathan, Fields, Matthew J., Milburn, Reilly P., Thao, Pa Chia, Schmidt, Stephen P., Gnilka, Crystal L., Howell, Steve B., Law, Nicholas M., Ziegler, Carl, Briceño, César, Ricker, George R., Vanderspek, Roland, Latham, David W., Seager, Sara, Winn, Joshua N., Jenkins, Jon M., Schlieder, Joshua E., Osborn, Hugh P., Twicken, Joseph D., Ciardi, David R., and Huang, Chelsea X.

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Earth and Planetary Astrophysics
Abstract

We report the discovery and characterization of a nearby (~ 85 pc), older (27 +/- 3 Myr), distributed stellar population near Lower-Centaurus-Crux (LCC), initially identified by searching for stars co-moving with a candidate transiting planet from TESS (HD 109833; TOI 1097). We determine the association membership using Gaia kinematics, color-magnitude information, and rotation periods of candidate members. We measure it's age using isochrones, gyrochronology, and Li depletion. While the association is near known populations of LCC, we find that it is older than any previously found LCC sub-group (10-16 Myr), and distinct in both position and velocity. In addition to the candidate planets around HD 109833 the association contains four directly-imaged planetary-mass companions around 3 stars, YSES-1, YSES-2, and HD 95086, all of which were previously assigned membership in the younger LCC. Using the Notch pipeline, we identify a second candidate transiting planet around HD 109833. We use a suite of ground-based follow-up observations to validate the two transit signals as planetary in nature. HD 109833 b and c join the small but growing population of <100 Myr transiting planets from TESS. HD 109833 has a rotation period and Li abundance indicative of a young age (< 100 Myr), but a position and velocity on the outskirts of the new population, lower Li levels than similar members, and a CMD position below model predictions for 27 Myr. So, we cannot reject the possibility that HD 109833 is a young field star coincidentally nearby the population., Comment: 23 pages, 15 figures, Accepted for publication in AJ

Published
2022
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222. Phage biocontrol success of bacterial wilt depends on synergistic interactions with resident rhizosphere microbiota

Author

Sara Franco Ortega, Bryden Fields, Daniel Narino Rojas, Lauri Mikonranta, Matthew Holmes, Andrea L. Harper, and Ville‐Petri Friman

Subjects
Biotechnology, TP248.13-248.65
Abstract

Abstract Phages can successfully be used in vitro and in planta to biocontrol the phytopathogenic Ralstonia solanacearum bacterium—the causal agent of bacterial wilt disease. However, phage biocontrol outcomes are still variable, and it is unclear what causes this. In this study, we assessed the efficiency of four phages in controlled in vitro and in planta experiments in all one‐ and two‐phage combinations. We found that using phages in combination did not improve the phage biocontrol efficiency relative to single phage treatments, while certain phages and their combinations were more effective than the others. High intra‐treatment variability in phage efficiency was observed across all phage treatments, which was associated with clear shifts in microbiome composition, a reduction in R. solanacearum and an increase in phage densities. We further identified the bacterial taxa that were associated with these ‘shifted’ microbiomes and conducted additional plant growth experiments, demonstrating that some of the enriched bacterial species could protect plants from R. solanacearum infections—a pattern which was also observed using partial least squares path modelling (PLS‐PM). Together, these results suggest that phages could open niche space for beneficial bacteria by reducing pathogen densities and that variability in phage biocontrol outcomes is rhizosphere microbiome‐dependent, which can introduce between‐replicate variation, even in controlled greenhouse conditions.

Published
2024
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223. Assessment of Substrate Physical Properties in Bark- and Peat-based Stratified Substrate Systems

Author

Jeb S. Fields, Kristopher S. Criscione, and James S. Owen Jr

Subjects
air-filled porosity, growing media, substrate physics, water-holding capacity, water retention, Plant culture, SB1-1110
Abstract

Soilless substrate stratification is increasing in popularity in the greenhouse and nursery industry globally. The concept of stratifying substrates entails stacking two substrates with different physiochemical properties to augment vertical moisture balances and redistribution for quicker establishment, greater root growth, and quicker time to market. Stratified substrate research to date has estimated or assumed that the static physical properties of a stratified system as the mean of the individual strata components. No research to date has verified or rejected this assumption using a stratified column. The research herein measured the static physical properties of 1) peatlite (85% peat: 15% perlite), 2) unprocessed

Published
2024
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224. Phase Transformations Driving Biaxial Stress Reduction During Wake‐Up of Ferroelectric Hafnium Zirconium Oxide Thin Films

Author

Samantha T. Jaszewski, Shelby S. Fields, Sebastian Calderon, Benjamin L. Aronson, Thomas E. Beechem, Kyle P. Kelley, Casey Zhang, Megan K. Lenox, Ian A. Brummel, Elizabeth C. Dickey, and Jon F. Ihlefeld

Subjects
ferroelectric hafnium oxide, stress, thin film, X‐ray diffraction, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4, Physics, QC1-999
Abstract

Abstract Biaxial stress is identified to play an important role in the polar orthorhombic phase stability in hafnium oxide‐based ferroelectric thin films. However, the stress state during various stages of wake‐up has not yet been quantified. In this work, the stress evolution with field cycling in hafnium zirconium oxide capacitors is evaluated. The remanent polarization of a 20 nm thick hafnium zirconium oxide thin film increases from 9.80 to 15.0 µC cm−2 following 106 field cycles. This increase in remanent polarization is accompanied by a decrease in relative permittivity that indicates that a phase transformation has occurred. The presence of a phase transformation is supported by nano‐Fourier transform infrared spectroscopy measurements and scanning transmission electron microscopy that show an increase in ferroelectric phase content following wake‐up. The stress of individual devices field cycled between pristine and 106 cycles is quantified using the sin2(ψ) technique, and the biaxial stress is observed to decrease from 4.3 ± 0.2 to 3.2 ± 0.3 GPa. The decrease in stress is attributed, in part, to a phase transformation from the antipolar Pbca phase to the ferroelectric Pca21 phase. This work provides new insight into the mechanisms controlling and/or accompanying polarization wake‐up in hafnium oxide‐based ferroelectrics.

Published
2024
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225. High-throughput identification of calcium-regulated proteins across diverse proteomes

Author

Timothy M. Locke, Rose Fields, Hayden Gizinski, George M. Otto, Melissa J.S. MacEwen, Domnita-Valeria Rusnac, Peixian He, David M. Shechner, Chris D. McGann, Matthew D. Berg, Judit Villen, Yasemin Sancak, and Devin K. Schweppe

Subjects
CP: Cell biology, CP: Metabolism, Biology (General), QH301-705.5
Abstract

Summary: Calcium ions play important roles in nearly every biological process, yet whole-proteome analysis of calcium effectors has been hindered by a lack of high-throughput, unbiased, and quantitative methods to identify protein-calcium engagement. To address this, we adapted protein thermostability assays in budding yeast, human cells, and mouse mitochondria. Based on calcium-dependent thermostability, we identified 2,884 putative calcium-regulated proteins across human, mouse, and yeast proteomes. These data revealed calcium engagement of signaling hubs and cellular processes, including metabolic enzymes and the spliceosome. Cross-species comparison of calcium-protein engagement and mutagenesis experiments identified residue-specific cation engagement, even within well-known EF-hand domains. Additionally, we found that the dienoyl-coenzyme A (CoA) reductase DECR1 binds calcium at physiologically relevant concentrations with substrate-specific affinity, suggesting direct calcium regulation of mitochondrial fatty acid oxidation. These discovery-based proteomic analyses of calcium effectors establish a key resource to dissect cation engagement and its mechanistic effects across multiple species and diverse biological processes.

Published
2024
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226. Do we owe our existence to gravitational waves?

Author

John Ellis, Brian D. Fields, and Rebecca Surman

Subjects
Human biochemistry, Iodine, r-process, Kilonovae, Lunar regolith, Physics, QC1-999
Abstract

Two heavy elements essential to human biology are thought to have been produced by the astrophysical r-process, which occurs in neutron-rich environments: iodine is a constituent of thyroid hormones that affect many physiological processes including growth and development, body temperature and heart rate, and bromine is essential for tissue development and architecture. Collisions of neutron stars (kilonovae) have been identified as sources of r-process elements including tellurium, which is adjacent to iodine in the periodic table, and lanthanides. Neutron-star collisions arise from energy loss due to gravitational-wave emission from binary systems, leading us to suggest that gravitational waves have played a key role in enabling human life by producing iodine and bromine. We propose probing this proposal by searching in lunar material for live 129I deposited by a recent nearby kilonova explosion.

Published
2024
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227. DEVELOPMENT OF A TREATMENT DECISION-MAKING TOOL FOR SICKLE CELL DISEASE MANAGEMENT: THE MANAGE, MONITOR, REALIZE FRAMEWORK

Author

F Bernaudin, AA Zayed, KA Anie, ME Fields, ES Klings, C Lobo, O Mboma, SL Saraf, F Montealegre-Golcher, and W Smith

Subjects
Diseases of the blood and blood-forming organs, RC633-647.5
Abstract

Objective: Remittive therapies for sickle cell disease (SCD) have increased over the past 7 years highlighting the need for standardized and quantifiable markers to monitor SCD, progression and treatment response. The aim was to develop an SCD treatment-decision framework that is well-defined, quantifiable, adaptable, personalizable, and clinically relevant for every stage of the individual patient journey. Methods: SCD experts worldwide, with extensive knowledge of organ systems commonly associated with SCD-related complications participated in an iterative series of advisory boards to identify and prioritize laboratory, clinical, and qualitative measures of SCD progression to see how these measures should be used for treatment decision making. The series were designed to 1) determine quantifiable goals for SCD treatment; 2) identify unmet needs and barriers to applying goal-oriented decision making in SCD clinical practice; and 3) introduce, refine, and validate an SCD treatment-decision framework and populate the framework with specific treatment targets. To aid implementation of a SCD treatment-decision framework in clinical practice, parameters identified were prioritized using a virtual survey and differentiated for pediatric or adult implementation. Results: Advisors focused on the significance of shared decision making between patient and clinician, treatment goals including of biological, social, and psychological dimensions, and the uniqueness of individual patients and their experiences. Advisors recommended that an SCD treatment-decision framework should invoke regular assessment, re-assessment, and proposed the monitoring of three key areas: markers of disease activity, markers of organ damage, and measures of health-related quality of life (HRQoL). Advisors agreed on the manage, monitor, perform (MMR) framework: 1) Manage: Are key SCD parameters managed? 2) Monitor: Are key aspects of disease progression monitored to prevent further organ complications? 3) Realize: Is the patient able to fulfill their potential? The MMR framework requires clinicians to consider and reassess the three pillars in parallel in the clinic to assess patient treatment. Advisors identified key assessment criteria: SCD parameters (hematological parameters, markers of hemolysis, presence of vaso-occlusive episodes, presence of acute chest syndrome, transfusion burden, risk of infection); presence and severity of organ complications (renal, cardiovascular, pulmonary, neurological, retinal, osteonecrosis, hepatobiliary, endocrine [growth and development], leg ulcers), and shared decision making (patient treatment goals, HRQoL, pain, fatigue, depression, anxiety, transition of care, reproduction and fertility, professional development). Discussion: Unity on SCD treatment measures, outcomes, and goals could improve SCD management and patient outcomes. Conclusions: The finalized MMR framework should aim to achieve the best clinical standard of care and address worldwide regional limitations. The MMR framework could also be used to guide the design of clinical trials. We plan to continually refine the MMR framework, in partnership with global SCD experts, to allow for customization to worldwide healthcare systems, application to patients based on developmental stage and/or disease status, and to allow piloting in clinical practice.

Published
2024
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229. Maternal oral probiotic use is associated with decreased breastmilk inflammatory markers, infant fecal microbiome variation, and altered recognition memory responses in infants—a pilot observational study

Author

Sara Gonia, Timothy Heisel, Neely Miller, Jacob Haapala, Lisa Harnack, Michael K. Georgieff, David A. Fields, Dan Knights, Katherine Jacobs, Elisabeth Seburg, Ellen W. Demerath, Cheryl A. Gale, and Marie H. Swanson

Subjects
probiotics, gut microbiome, Infant, Inflammation, neurodevelopment, event related potential, Nutrition. Foods and food supply, TX341-641
Abstract

IntroductionEarly life gut microbiomes are important for brain and immune system development in animal models. Probiotic use has been proposed as a strategy to promote health via modulation of microbiomes. In this observational study, we explore if early life exposure to probiotics via the mother during pregnancy and lactation, is associated with decreased inflammation in breastmilk, maternal and infant microbiome variation, and altered infant neurodevelopmental features.MethodsExclusively breastfeeding mother-infant dyads were recruited as part of the “Mothers and Infants Linked for Healthy Growth (MILk) Study.” Probiotic comparison groups were defined by exposure to maternal probiotics (NO/YES) and by timing of probiotic exposure (prenatal, postnatal, total). C-reactive protein (CRP) and IL-6 levels were determined in breastmilk by immunoassays, and microbiomes were characterized from 1-month milk and from 1- and 6-month infant feces by 16S rDNA sequencing. Infant brain function was profiled via electroencephalogram (EEG); we assessed recognition memory using event-related potential (ERP) responses to familiar and novel auditory (1 month) and visual (6 months) stimuli. Statistical comparisons of study outcomes between probiotic groups were performed using permutational analysis of variance (PERMANOVA) (microbiome) and linear models (all other study outcomes), including relevant covariables as indicated.ResultsWe observed associations between probiotic exposure and lower breastmilk CRP and IL-6 levels, and infant gut microbiome variation at 1- and 6-months of age (including higher abundances of Bifidobacteria and Lactobacillus). In addition, maternal probiotic exposure was associated with differences in infant ERP features at 6-months of age. Specifically, infants who were exposed to postnatal maternal probiotics (between the 1- and 6-month study visits) via breastfeeding/breastmilk, had larger differential responses between familiar and novel visual stimuli with respect to the late slow wave component of the EEG, which may indicate greater memory updating potential. The milk of mothers of this subgroup of infants had lower IL-6 levels and infants had different 6-month fecal microbiomes as compared to those in the “NO” maternal probiotics group.DiscussionThese results support continued research into “Microbiota-Gut-Brain” connections during early life and the role of pre- and postnatal probiotics in mothers to promote healthy microbiome-associated outcomes in infants.

Published
2024
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230. Atrial fibrillation after cardiac surgery: identifying candidate predictors through a Delphi process

Author

Gregory Y H Lip, Oliver C Redfern, Peter J Watkinson, David A Clifton, Jonathan Bedford, Jochen D Muehlschlegel, Gary Stephen Collins, Kara G Fields, and Benjamin O’Brien

Subjects
Medicine
Abstract

Objectives This study was undertaken to identify potential predictors of atrial fibrillation after cardiac surgery (AFACS) through a modified Delphi process and expert consensus. These will supplement predictors identified through a systematic review and cohort study to inform the development of two AFACS prediction models as part of the PARADISE project (NCT05255224). Atrial fibrillation is a common complication after cardiac surgery. It is associated with worse postoperative outcomes. Reliable prediction of AFACS would enable risk stratification and targeted prevention. Systematic identification of candidate predictors is important to improve validity of AFACS prediction tools.Design This study is a Delphi consensus exercise.Setting This study was undertaken through remote participation.Participants The participants are an international multidisciplinary panel of experts selected through national research networks.Interventions This is a two-stage consensus exercise consisting of generating a long list of variables, followed by refinement by voting and retaining variables selected by at least 40% of panel members.Results The panel comprised 15 experts who participated in both stages, comprising cardiac intensive care physicians (n=3), cardiac anaesthetists (n=2), cardiac surgeons (n=1), cardiologists (n=4), cardiac pharmacists (n=1), critical care nurses (n=1), cardiac nurses (n=1) and patient representatives (n=2). Our Delphi process highlighted candidate AFACS predictors, including both patient factors and those related to the surgical intervention. We generated a final list of 72 candidate predictors. The final list comprised 3 demographic, 29 comorbidity, 4 vital sign, 13 intraoperative, 10 postoperative investigation and 13 postoperative intervention predictors.Conclusions A Delphi consensus exercise has the potential to highlight predictors beyond the scope of existing literature. This method proved effective in identifying a range of candidate AFACS predictors. Our findings will inform the development of future AFACS prediction tools as part of the larger PARADISE project.Trial registration number NCT05255224.

Published
2024
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231. Central Hemodynamics in African American Women: Examining the Role of Superwoman Schema Endorsement

Author

Zachary T. Martin, Nicole D. Fields, Christy L. Erving, Shivika Udaipuria, Reneé H. Moore, Kennedy M. Blevins, Raphiel J. Murden, Bianca Booker, LaKeia Culler, Seegar Swanson, Jaylah Goodson, Emma Barinas‐Mitchell, Arshed A. Quyyumi, Viola Vaccarino, and Tené T. Lewis

Subjects
Black or African American, cardiovascular diseases, female, hypertension, racism, surveys and questionnaires, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background African American women bear a disproportionate burden of cardiovascular diseases, potentially due to altered central hemodynamics. Racism and sexism often lead to African American women taking on numerous caretaking roles and overall increases their use of the Strong Black Woman (ie, Superwoman) mindset, which may have negative health consequences. We hypothesized that endorsing the Superwoman role and its Obligation to Help Others dimension would be associated with a deleterious central hemodynamics profile in African American women. Methods and Results Using cross‐sectional data, we examined central systolic blood pressure (mm Hg; n=408), augmentation index (percentage, adjusted for height and heart rate; n=408), and pulse wave velocity (m/s; n=368) in African American women aged 30 to 46 years. The Giscombe Superwoman Schema (SWS) questionnaire assessed endorsement of Overall SWS (range, 0–105) and SWS–Obligation to Help Others (range, 0–3). Multiple linear regression modeled associations between Overall SWS (10‐unit increments) and SWS–Obligation to Help Others (1‐unit increments) and central hemodynamics while adjusting for pertinent sociodemographic, clinical, and psychosocial factors. In fully adjusted models, central systolic blood pressure was significantly associated with Overall SWS (β=0.83 [95% CI, 0.19–1.47]) and SWS–Obligation to Help Others (β=2.03 [95% CI, 0.39–3.67]). Augmentation index was associated with Overall SWS (β=0.66 [95% CI, 0.02–1.30]) and SWS–Obligation to Help Others (β=2.21 [95% CI, 0.58–3.84]). Significant associations were not observed between pulse wave velocity and SWS. Conclusions Greater endorsement of the Superwoman role and prioritizing caregiving over self‐care were associated with higher central systolic blood pressure and augmentation index, which may contribute to adverse cardiovascular health among African American women.

Published
2024
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232. Dietary intake, energy availability, and power in men collegiate gymnasts

Author

Nicholas M. Kuhlman, Margaret T. Jones, Andrew R. Jagim, Meghan K. Magee, Luke Wilcox, and Jennifer B. Fields

Subjects
low energy availability, body composition, reactive strength index, power output, gymnastics, Sports, GV557-1198.995
Abstract

IntroductionThe purpose was to examine the prevalence of low energy availability (LEA), explore dietary behaviors in men collegiate gymnasts (n = 14), and investigate the relationships between energy availability (EA), body composition, and plyometric performance.MethodsBody composition was measured using air displacement plethysmography. Lower- and upper-body peak power (PWRpeak) and modified reactive strength index (RSImod) were calculated from countermovement jump (CMJ) and plyometric push-up (PP) assessments. Energy expenditure was tracked over 3 days, while daily energy and macronutrient intake were recorded. EA was calculated and used to categorize athletes into LEA and non-LEA groups. Pearson correlation coefficients were used to examine relationships between EA, body composition, and performance metrics.Results85.7% of athletes (n = 12) exhibited LEA (20.98 ± 5.2 kcals/kg FFM), with non-LEA athletes (n = 2) marginally surpassing the

Published
2024
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233. Osteopontin deletion attenuates cyst growth but exacerbates fibrosis in mice with cystic kidney disease

Author

Kyle P. Jansson, Jordan Kuluva, Shiqin Zhang, Taylor Swanson, Yan Zhang, Kurt A. Zimmerman, Timothy A. Fields, Darren P. Wallace, Peter S. Rowe, and Jason R. Stubbs

Subjects
fibrosis, matricellular proteins, mineral metabolism, Osteopontin, PKD, Physiology, QP1-981
Abstract

Abstract Osteopontin (OPN) is a multi‐functional glycoprotein that coordinates the innate immune response, prevents nanocrystal formation in renal tubule fluid, and is a biomarker for kidney injury. OPN expression is markedly increased in cystic epithelial cells of polycystic kidney disease (PKD) kidneys; however, its role in PKD progression remains unclear. We investigated the in vitro effects of recombinant OPN on the proliferation of tubular epithelial cells from PKD and normal human kidneys and in vivo effects of OPN deletion on kidney cyst formation, fibrosis, and mineral metabolism in pcy/pcy mice, a non‐orthologous model of autosomal‐dominant PKD. In vitro studies revealed that OPN enhanced the proliferation of PKD cells but had no effect on normal kidney cells. Deletion of OPN in pcy/pcy mice significantly reduced kidney cyst burden; however, this was accompanied by increased fibrosis and no change in kidney function. The loss of OPN had no effect on kidney macrophage numbers, cyst epithelial cell proliferation, or apoptosis. Furthermore, there was no difference in kidney mineral deposition or mineral metabolism parameters between pcy/pcy mice with and without OPN expression. Global deletion of OPN reduced kidney cyst burden, while paradoxically exacerbating kidney fibrosis in mice with cystic kidney disease.

Published
2024
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234. Census Bureau Household Panel

Author

Jason Fields

Subjects
Demography. Population. Vital events, HB848-3697
Abstract

The Census Bureau Household Panel is a nationally-representative, address-based, probability-based internet panel (including non-internet households) designed to improve representativeness, significantly reduce burden on sampled households, and promote high-frequency data meeting the immediate needs of the government and public. The Panel facilitates near real-time analysis of national events that may impact social, economic, or demographic characteristics of the population. It supports research to improve surveys, including testing content changes, alternative methods for enhancing data with administrative and other data sources, and adaptive survey design procedures.

Published
2024
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235. Artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors

Author

Paniz Sabeghi, Ketki K. Kinkar, Gloria del Rosario Castaneda, Liesl S. Eibschutz, Brandon K. K. Fields, Bino A. Varghese, Dakshesh B. Patel, and Ali Gholamrezanezhad

Subjects
artificial intelligence, machine learning, deep learning, musculoskeletal, sarcoma, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Recent advancements in artificial intelligence (AI) and machine learning offer numerous opportunities in musculoskeletal radiology to potentially bolster diagnostic accuracy, workflow efficiency, and predictive modeling. AI tools have the capability to assist radiologists in many tasks ranging from image segmentation, lesion detection, and more. In bone and soft tissue tumor imaging, radiomics and deep learning show promise for malignancy stratification, grading, prognostication, and treatment planning. However, challenges such as standardization, data integration, and ethical concerns regarding patient data need to be addressed ahead of clinical translation. In the realm of musculoskeletal oncology, AI also faces obstacles in robust algorithm development due to limited disease incidence. While many initiatives aim to develop multitasking AI systems, multidisciplinary collaboration is crucial for successful AI integration into clinical practice. Robust approaches addressing challenges and embodying ethical practices are warranted to fully realize AI's potential for enhancing diagnostic accuracy and advancing patient care.

Published
2024
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237. Deep-learning-based biomarker of spinal cartilage endplate health using ultra-short echo time magnetic resonance imaging

Author

Bonnheim, Noah B, Wang, Linshanshan, Lazar, Ann A, Chachad, Ravi, Zhou, Jiamin, Guo, Xiaojie, O’Neill, Conor, Castellanos, Joel, Du, Jiang, Jang, Hyungseok, Krug, Roland, and Fields, Aaron J

Subjects
Engineering, Atomic, Molecular and Optical Physics, Physical Sciences, Biomedical Engineering, Neurosciences, Bioengineering, Biomedical Imaging, Cartilage endplate, low back pain, T2* relaxation time, disc degeneration, ultra-short echo time, ultra-short echo time magnetic resonance imaging, Condensed Matter Physics, Optical Physics, Other Physical Sciences, Biomedical engineering, Atomic, molecular and optical physics
Abstract

BackgroundT2* relaxation times in the spinal cartilage endplate (CEP) measured using ultra-short echo time magnetic resonance imaging (UTE MRI) reflect aspects of biochemical composition that influence the CEP's permeability to nutrients. Deficits in CEP composition measured using T2* biomarkers from UTE MRI are associated with more severe intervertebral disc degeneration in patients with chronic low back pain (cLBP). The goal of this study was to develop an objective, accurate, and efficient deep-learning-based method for calculating biomarkers of CEP health using UTE images.MethodsMulti-echo UTE MRI of the lumbar spine was acquired from a prospectively enrolled cross-sectional and consecutive cohort of 83 subjects spanning a wide range of ages and cLBP-related conditions. CEPs from the L4-S1 levels were manually segmented on 6,972 UTE images and used to train neural networks utilizing the u-net architecture. CEP segmentations and mean CEP T2* values derived from manually- and model-generated segmentations were compared using Dice scores, sensitivity, specificity, Bland-Altman, and receiver-operator characteristic (ROC) analysis. Signal-to-noise (SNR) and contrast-to-noise (CNR) ratios were calculated and related to model performance.ResultsCompared with manual CEP segmentations, model-generated segmentations achieved sensitives of 0.80-0.91, specificities of 0.99, Dice scores of 0.77-0.85, area under the receiver-operating characteristic curve values of 0.99, and precision-recall (PR) AUC values of 0.56-0.77, depending on spinal level and sagittal image position. Mean CEP T2* values and principal CEP angles derived from the model-predicted segmentations had low bias in an unseen test dataset (T2* bias =0.33±2.37 ms, angle bias =0.36±2.65°). To simulate a hypothetical clinical scenario, the predicted segmentations were used to stratify CEPs into high, medium, and low T2* groups. Group predictions had diagnostic sensitivities of 0.77-0.86 and specificities of 0.86-0.95. Model performance was positively associated with image SNR and CNR.ConclusionsThe trained deep learning models enable accurate, automated CEP segmentations and T2* biomarker computations that are statistically similar to those from manual segmentations. These models address limitations with inefficiency and subjectivity associated with manual methods. Such techniques could be used to elucidate the role of CEP composition in disc degeneration etiology and guide emerging therapies for cLBP.

Published
2023

238. ISSLS Prize in Bioengineering Science 2023: Age- and sex-related differences in lumbar intervertebral disc degeneration between patients with chronic low back pain and asymptomatic controls

Author

Bonnheim, Noah B, Lazar, Ann A, Kumar, Anika, Akkaya, Zehra, Zhou, Jiamin, Guo, Xiaojie, O’Neill, Conor, Link, Thomas M, Lotz, Jeffrey C, Krug, Roland, and Fields, Aaron J

Subjects
Allied Health and Rehabilitation Science, Biomedical and Clinical Sciences, Clinical Sciences, Health Sciences, Chronic Pain, Aging, Clinical Research, Pain Research, Neurosciences, Clinical Trials and Supportive Activities, Neurological, Musculoskeletal, Male, Female, Humans, Adult, Middle Aged, Intervertebral Disc Degeneration, Low Back Pain, Intervertebral Disc, Magnetic Resonance Imaging, Lumbar Vertebrae, Bioengineering, Disc degeneration, Chronic low back pain, T1 rho (T1rho) magnetic resonance imaging, Lumbar spine, T1ρ (T1rho) magnetic resonance imaging, Biomedical Engineering, Orthopedics, Clinical sciences, Allied health and rehabilitation science
Abstract

PurposeClinical management of disc degeneration in patients with chronic low back pain (cLBP) is hampered by the challenge of distinguishing pathologic changes relating to pain from physiologic changes related to aging. The goal of this study was to use imaging biomarkers of disc biochemical composition to distinguish degenerative changes associated with cLBP from normal aging.MethodsT1ρ MRI data were acquired from 133 prospectively enrolled subjects for this observational study (80 cLBP, 53 controls; mean ± SD age = 43.9 ± 13.4 years; 61 females, 72 males). The mean T1ρ relaxation time in the nucleus pulposus (NP-T1ρ; n = 650 discs) was used as a quantitative biomarker of disc biochemical composition. Linear regression was used to assess associations between NP-T1ρ and age, sex, spinal level, and study group, and their interactions.ResultsNP-T1ρ values were lower in cLBP patients than controls (70.8 ± 22.8 vs. 76.4 ± 22.2 ms, p = 0.009). Group differences were largest at L5-S1 (ΔT1ρcLBP-control = -11.3 ms, p

Published
2023

239. Veterans Health Administration response to 2021 recall of Philips Respironics devices: A case study.

Author

Fields, Barry, Shamim-Uzzaman, Q, Stratford, Donna, Alfandre, David, Hollingshaus, Scott, Yackel, Edward, Geppert, Cynthia, Nechanicky, Penny, Nichols, Ardene, Reichert, Jill, Whooley, Mary, Francis, Joe, Sarmiento, Kathleen, Belkora, Jeffrey, and Williams, Katherine

Subjects
crisis, disordered breathing, organizational behavior, positive airway pressure devices, product recall, product safety, sleep medicine, ventilators
Abstract

This case study describes, for the time frame of June 2021 through August 2022, the U.S. Veterans Health Administration (VHA) organizational response to a manufacturers recall of positive airway pressure devices used in the treatment of sleep disordered breathing. VHA estimated it could take over a year for Veterans to receive replacement devices. Veterans awaiting a replacement faced a dilemma. They could continue using the recalled devices and bear the product safety risks that led to the recall, or they could stop using them and bear the risks of untreated sleep disordered breathing. Using a program monitoring approach, we report on the processes VHA put in place to respond to the recall. Specifically, we report on the strategic, service, and operational plans associated with VHAs response to the recall for Veterans needing replacement devices. In program monitoring, the strategic plan reflects the internal process objectives for the program. The service plan articulates how the delivery of services will intersect the customer journey. The operational plan describes how the programs resources and actions must support the service delivery plan. VHAs strategic plan featured a clinician-led, as opposed to primarily legal or administrative response to the recall. The recall response team also engaged with VHAs medical ethics service to articulate an ethical framework guiding the allocation of replacement devices under conditions of scarcity. This framework proposed allocating scarce devices to Veterans according to their clinical need. The service plan invited Veterans to schedule visits with sleep providers who could assess their clinical need and counsel them accordingly. The operational plan distributed devices according to clinical need as they became available. Monitoring our program processes in real time helped VHA launch and adapt its response to a recall affecting more than 700,000 Veterans.

Published
2023

240. Baseline characteristics of the North American prodromal Synucleinopathy cohort.

Author

Elliott, Jonathan, Lim, Miranda, Keil, Allison, Postuma, Ronald, Pelletier, Amelie, Gagnon, Jean-François, St Louis, Erik, Forsberg, Leah, Fields, Julie, Huddleston, Daniel, Bliwise, Donald, Avidan, Alon, Howell, Michael, Schenck, Carlos, McLeland, Jennifer, Criswell, Susan, Videnovic, Aleksandar, During, Emmanuel, Miglis, Mitchell, Shprecher, David, Lee-Iannotti, Joyce, Boeve, Bradley, and Ju, Yo-El

Subjects
Female, Humans, Male, Lewy Body Disease, Longitudinal Studies, Multiple System Atrophy, Parkinson Disease, REM Sleep Behavior Disorder, Synucleinopathies
Abstract

OBJECTIVE: Rapid eye movement (REM) sleep behavior disorder (RBD) is widely considered a prodromal synucleinopathy, as most with RBD develop overt synucleinopathy within ~10 years. Accordingly, RBD offers an opportunity to test potential treatments at the earliest stages of synucleinopathy. The North American Prodromal Synucleinopathy (NAPS) Consortium has created a multisite RBD participant, primarily clinic-based cohort to better understand characteristics at diagnosis, and in future work, identify predictors of phenoconversion, develop synucleinopathy biomarkers, and enable early stage clinical trial enrollment. METHODS: Participants ≥18 years of age with overnight polysomnogram-confirmed RBD without Parkinsons disease, dementia, multiple system atrophy, or narcolepsy were enrolled from nine sites across North America (8/2018 to 4/2021). Data collection included family/personal history of RBD and standardized assessments of cognitive, motor, sensory, and autonomic function. RESULTS: Outcomes are primarily reported based on sex (361 total: n = 295 male, n = 66 female), and secondarily based on history of antidepressant use (n = 200 with, n = 154 without; with correction for sex differences) and based on extent of synucleinopathy burden (n = 56 defined as isolated RBD, n = 305 defined as RBD+ [i.e., exhibiting ≥1 abnormality]). Overall, these participants commonly demonstrated abnormalities in global cognition (MoCA; 38%), motor function (alternate tap test; 48%), sensory (BSIT; 57%), autonomic function (orthostatic hypotension, 38.8%), and anxiety/depression (BAI and PHQ-9; 39.3% and 31%, respectively). INTERPRETATION: These RBD participants, assessed with extensive history, demographic, cognitive, motor, sensory, and autonomic function demonstrated a lack of sex differences and high frequency of concomitant neurological abnormalities. These participants will be valuable for future longitudinal study and neuroprotective clinical trials.

Published
2023

241. Feasibility and acceptability of remote smartphone cognitive testing in frontotemporal dementia research

Author

Taylor, Jack Carson, Heuer, Hilary W, Clark, Annie L, Wise, Amy B, Manoochehri, Masood, Forsberg, Leah, Mester, Carly, Rao, Meghana, Brushaber, Daniell, Kramer, Joel, Welch, Ariane E, Kornak, John, Kremers, Walter, Appleby, Brian, Dickerson, Bradford C, Domoto‐Reilly, Kimiko, Fields, Julie A, Ghoshal, Nupur, Graff‐Radford, Neill, Grossman, Murray, Hall, Matthew GH, Huey, Edward D, Irwin, David, Lapid, Maria I, Litvan, Irene, Mackenzie, Ian R, Masdeu, Joseph C, Mendez, Mario F, Nevler, Naomi, Onyike, Chiadi U, Pascual, Belen, Pressman, Peter, Rankin, Katherine P, Ratnasiri, Buddhika, Rojas, Julio C, Tartaglia, Maria Carmela, Wong, Bonnie, Gorno‐Tempini, Maria Luisa, Boeve, Bradley F, Rosen, Howard J, Boxer, Adam L, and Staffaroni, Adam M

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Frontotemporal Dementia (FTD), Behavioral and Social Science, Brain Disorders, Dementia, Aging, Neurodegenerative, Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Clinical Research, Rare Diseases, Neurological, adherence, digital technology, smartphone, cognition, neuropsychology, frontotemporal lobar degeneration, primary progressive aphasia, Genetics, Biological psychology
Abstract

IntroductionRemote smartphone assessments of cognition, speech/language, and motor functioning in frontotemporal dementia (FTD) could enable decentralized clinical trials and improve access to research. We studied the feasibility and acceptability of remote smartphone data collection in FTD research using the ALLFTD Mobile App (ALLFTD-mApp).MethodsA diagnostically mixed sample of 214 participants with FTD or from familial FTD kindreds (asymptomatic: CDR®+NACC-FTLD = 0 [N = 101]; prodromal: 0.5 [N = 49]; symptomatic ≥1 [N = 51]; not measured [N = 13]) were asked to complete ALLFTD-mApp tests on their smartphone three times within 12 days. They completed smartphone familiarity and participation experience surveys.ResultsIt was feasible for participants to complete the ALLFTD-mApp on their own smartphones. Participants reported high smartphone familiarity, completed ∼ 70% of tasks, and considered the time commitment acceptable (98% of respondents). Greater disease severity was associated with poorer performance across several tests.DiscussionThese findings suggest that the ALLFTD-mApp study protocol is feasible and acceptable for remote FTD research.HighlightsThe ALLFTD Mobile App is a smartphone-based platform for remote, self-administered data collection.The ALLFTD Mobile App consists of a comprehensive battery of surveys and tests of executive functioning, memory, speech and language, and motor abilities.Remote digital data collection using the ALLFTD Mobile App was feasible in a multicenter research consortium that studies FTD. Data was collected in healthy controls and participants with a range of diagnoses, particularly FTD spectrum disorders.Remote digital data collection was well accepted by participants with a variety of diagnoses.

Published
2023

242. Report of the first seven agents in the I-SPY COVID trial: a phase 2, open label, adaptive platform randomised controlled trial

Author

Consortium, The I-SPY COVID, Files, D Clark, Aggarwal, Neil, Albertson, Timothy, Auld, Sara, Beitler, Jeremy R, Berger, Paul, Burnham, Ellen L, Calfee, Carolyn S, Cobb, Nathan, Crippa, Alessio, Discacciati, Andrea, Eklund, Martin, Esserman, Laura, Friedman, Eliot, Gandotra, Sheetal, Khan, Kashif, Koff, Jonathan, Kumar, Santhi, Liu, Kathleen D, Martin, Thomas R, Matthay, Michael A, Meyer, Nuala J, Obermiller, Timothy, Robinson, Philip, Russell, Derek, Thomas, Karl, Wong, Fum, Wunderink, Richard G, Wurfel, Mark M, Yen, Albert, Youssef, Fady A, Darmanian, Anita, Dzierba, Amy L, Garcia, Ivan, Gosek, Katarzyna, Madahar, Purnema, Mittel, Aaron M, Muir, Justin, Rosen, Amanda, Schicchi, John, Serra, Alexis L, Wahab, Romina, Gibbs, Kevin W, Landreth, Leigha, LaRose, Mary, Parks, Lisa, Wynn, Adina, Ittner, Caroline AG, Mangalmurti, Nilman S, Reilly, John P, Harris, Donna, Methukupally, Abhishek, Patel, Siddharth, Boerger, Lindsie, Kazianis, John, Higgins, Carrie, McKeehan, Jeff, Daniel, Brian, Fields, Scott, Hurst-Hopf, James, Jauregui, Alejandra, Swigart, Lamorna Brown, Blevins, Daniel, Nguyen, Catherine, Suarez, Alexis, Tanios, Maged A, Sarafian, Farjad, Shah, Usman, Adelman, Max, Creel-Bulos, Christina, Detelich, Joshua, Harris, Gavin, Nugent, Katherine, Spainhour, Christina, Yang, Philip, Haczku, Angela, Hardy, Erin, Harper, Richart, Morrissey, Brian, Sandrock, Christian, Budinger, GR Scott, Donnelly, Helen K, Singer, Benjamin D, Moskowitz, Ari, Coleman, Melissa, Levitt, Joseph, Lu, Ruixiao, Henderson, Paul, Asare, Adam, Dunn, Imogene, and Barragan, Alejandro Botello

Subjects
Health Services, Clinical Trials and Supportive Activities, Clinical Research, Good Health and Well Being, I-SPY COVID Consortium, Acute lung injury, Clinical trial, Respiratory insufficiency, SARS-CoV-2
Abstract

BackgroundAn urgent need exists to rapidly screen potential therapeutics for severe COVID-19 or other emerging pathogens associated with high morbidity and mortality.MethodsUsing an adaptive platform design created to rapidly evaluate investigational agents, hospitalised patients with severe COVID-19 requiring ≥6 L/min oxygen were randomised to either a backbone regimen of dexamethasone and remdesivir alone (controls) or backbone plus one open-label investigational agent. Patients were enrolled to the arms described between July 30, 2020 and June 11, 2021 in 20 medical centres in the United States. The platform contained up to four potentially available investigational agents and controls available for randomisation during a single time-period. The two primary endpoints were time-to-recovery (

Published
2023

243. Mood and Anxiety Disorders and Suicidality in Patients With Newly Diagnosed Focal Epilepsy: An Analysis of a Complex Comorbidity.

Author

Kanner, Andres, Saporta, Anita, Kim, Dong, Barry, John, Altalib, Hamada, Omotola, Hope, Jette, Nathalie, OBrien, Terence, Nadkarni, Siddhartha, Winawer, Melodie, Sperling, Michael, French, Jacqueline, Abou-Khalil, Bassel, Alldredge, Brian, Bebin, Martina, Cascino, Gregory, Cole, Andrew, Cook, Mark, Detyniecki, Kamil, Devinsky, Orrin, Dlugos, Dennis, Faught, Edward, Ficker, David, Fields, Madeline, Gidal, Barry, Gelfand, Michael, Glynn, Simon, Halford, Jonathan, Haut, Sheryl, Hegde, Manu, Holmes, Manisha, Kalviainen, Reetta, Kang, Joon, Klein, Pavel, Knowlton, Robert, Krishnamurthy, Kaarkuzhali, Kuzniecky, Ruben, Kwan, Patrick, Lowenstein, Daniel, Marcuse, Lara, Meador, Kimford, Mintzer, Scott, Pardoe, Heath, Park, Kristen, Penovich, Patricia, Singh, Rani, Somerville, Ernest, Szabo, Charles, Szaflarski, Jerzy, Lin Thio, K, Trinka, Eugen, and Burneo, Jorge

Subjects
Adult, Humans, Suicidal Ideation, Anxiety Disorders, Depressive Disorder, Major, Suicide, Comorbidity, Epilepsies, Partial, Risk Factors
Abstract

BACKGROUND AND OBJECTIVES: Mood, anxiety disorders, and suicidality are more frequent in people with epilepsy than in the general population. Yet, their prevalence and the types of mood and anxiety disorders associated with suicidality at the time of the epilepsy diagnosis are not established. We sought to answer these questions in patients with newly diagnosed focal epilepsy and to assess their association with suicidal ideation and attempts. METHODS: The data were derived from the Human Epilepsy Project study. A total of 347 consecutive adults aged 18-60 years with newly diagnosed focal epilepsy were enrolled within 4 months of starting treatment. The types of mood and anxiety disorders were identified with the Mini International Neuropsychiatric Interview, whereas suicidal ideation (lifetime, current, active, and passive) and suicidal attempts (lifetime and current) were established with the Columbia Suicidality Severity Rating Scale (CSSRS). Statistical analyses included the t test, χ2 statistics, and logistic regression analyses. RESULTS: A total of 151 (43.5%) patients had a psychiatric diagnosis; 134 (38.6%) met the criteria for a mood and/or anxiety disorder, and 75 (21.6%) reported suicidal ideation with or without attempts. Mood (23.6%) and anxiety (27.4%) disorders had comparable prevalence rates, whereas both disorders occurred together in 43 patients (12.4%). Major depressive disorders (MDDs) had a slightly higher prevalence than bipolar disorders (BPDs) (9.5% vs 6.9%, respectively). Explanatory variables of suicidality included MDD, BPD, panic disorders, and agoraphobia, with BPD and panic disorders being the strongest variables, particularly for active suicidal ideation and suicidal attempts. DISCUSSION: In patients with newly diagnosed focal epilepsy, the prevalence of mood, anxiety disorders, and suicidality is higher than in the general population and comparable to those of patients with established epilepsy. Their recognition at the time of the initial epilepsy evaluation is of the essence.

Published
2023

244. Speculative urbanism

Author

Fields, Desiree

Subjects
Urban and Regional Planning, Applied Economics, Human Geography, Geography
Published
2023

245. High-Statistics Measurement of Antineutrino Quasielastic-like scattering at $E_\nu \sim$ 6~GeV on a Hydrocarbon Target

Author

Bashyal, A., Akhter, S., Dar, Z. Ahmad, Akbar, F., Ansari, V., Ascencio, M. V., Athar, M. Sajjad, Bercellie, A., Betancourt, M., Bodek, A., Bonilla, J. L., Bravar, A., Budd, H., Caceres, G., Carneiro, M. F., Díaz, G. A., Felix, J., Fields, L., Filkins, A., Fine, R., Gago, A. M., Gallagher, H., Gaur, P. K., Gilligan, S. M., Gran, R., Granados, E., Harris, D. A., Henry, S., Jena, D., Jena, S., Kleykamp, J., Klustová, A., Kordosky, M., Last, D., Le, T., Lozano, A., Lu, X. -G., Maher, E., Manly, S., Mann, W. A., Mauger, C., McFarland, K. S., McGowan, A. M., Messerly, B., Miller, J., Moreno, O., Morfín, J. G., Naples, D., Nelson, J. K., Nguyen, C., Olivier, A., Paolone, V., Perdue, G. N., Plows, K. -J., Ramírez, M. A., Ransome, R. D., Ray, H., Ruterbories, D., Schellman, H., Salinas, C. J. Solano, Su, H., Sultana, M., Syrotenko, V. S., Valencia, E., Vaughan, N. H., Waldron, A. V., Wret, C., Yaeggy, B., and Zazueta, L.

Subjects
High Energy Physics - Experiment
Abstract

We present measurements of the cross section for anti-neutrino charged-current quasielastic-like scattering on hydrocarbon using the medium energy (ME) NuMI wide-band neutrino beam peaking at $\sim 6$ GeV. The cross section measurements are presented as a function of the longitudinal momentum ($p_{||}$) and transverse momentum ($p_{T}$) of the final state muon. This work complements our previously reported high statistics measurement in the neutrino channel and extends the previous anti-neutrino measurement made in the low energy (LE) beam at neutrino energy($$) $\sim$ 3.5 GeV to $p_{T}$ of 2.5 GeV/c. Current theoretical models do not completely describe the data in this previously unexplored high $p_{T}$ region. The single differential cross section as a function of four momentum transfer ($Q^{2}_{QE}$) now extends to 4 GeV$^2$ with high statistics. The cross section as a function of $Q^{2}_{QE}$ shows that the tuned simulations developed by the MINERvA collaboration that agreed well with the low energy beam measurements do not agree as well with the medium energy beam measurements. Newer neutrino interaction models such as the GENIE 3 tunes are better able to simulate the high $Q^{2}_{QE}$., Comment: 17 pages, 14 figures

Published
2022

246. Snowmass Neutrino Frontier Report

Author

Huber, Patrick, Scholberg, Kate, Worcester, Elizabeth, Asaadi, Jonathan, Balantekin, A. Baha, Bowden, Nathaniel, Coloma, Pilar, Denton, Peter B., de Gouvêa, André, Fields, Laura, Friend, Megan, Gardiner, Steven, Giunti, Carlo, Gruszko, Julieta, Jones, Benjamin J. P., Karagiorgi, Georgia, Kaufman, Lisa, Klein, Joshua R., Koerner, Lisa W., Koshio, Yusuke, Link, Jonathan M., Littlejohn, Bryce R., Machado, Ana A., Machado, Pedro A. N., Mahn, Kendall, Marino, Alysia D., Messier, Mark D., Mocioiu, Irina, Newby, Jason, O'Sullivan, Erin, Ochoa-Ricoux, Juan Pedro, Gann, Gabriel D. Orebi, Parno, Diana S., Pastore, Saori, Schmitz, David W., Shoemaker, Ian M., Sousa, Alexandre, Spitz, Joshua, Strauss, Raimund, Strigari, Louis E., Tamborra, Irene, Tanaka, Hirohisa A., Wang, Wei, Yu, Jaehoon, Babu, K S., Bernstein, Robert H., Conley, Erin, De Roeck, Albert, Himmel, Alexander I., Jo, Jay Hyun, Lee, Claire, Mohayai, Tanaz A., Palladino, Kim J., Pandey, Vishvas, Sanchez, Mayly C., Wong, Yvonne Y. Y., Zettlemoyer, Jacob, Zhang, Xianyi, and Pocar, Andrea

Subjects
High Energy Physics - Experiment, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Solar and Stellar Astrophysics, High Energy Physics - Phenomenology, Nuclear Experiment
Abstract

This report summarizes the current status of neutrino physics and the broad and exciting future prospects identified for the Neutrino Frontier as part of the 2021 Snowmass Process., Comment: 49 pages, contribution to: 2021 Snowmass Summer Study. Minor updates

Published
2022

247. Hazy with a chance of star spots: constraining the atmosphere of the young planet, K2-33b

Author

Thao, Pa Chia, Mann, Andrew W., Gao, Peter, Owens, Dylan A., Vanderburg, Andrew, Newton, Elisabeth R., Tang, Yao, Fields, Matthew J., David, Trevor J., Irwin, Jonathan M., Husser, Tim-Oliver, Charbonneau, David, and Ballard, Sarah

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

Although all-sky surveys have led to the discovery of dozens of young planets, little is known about their atmospheres. Here, we present multi-wavelength transit data for the super Neptune-sized exoplanet, K2-33b -- the youngest (~10 Myr) transiting exoplanet to-date. We combined photometric observations of K2-33 covering a total of 33 transits spanning >2 years, taken from K2, MEarth, Hubble, and Spitzer. The transit photometry spanned from the optical to the near-infrared (0.6-4.5$\mu$m), enabling us to construct a transmission spectrum of the planet. We find that the optical transit depths are nearly a factor of two deeper than those from the near-infrared. This difference holds across multiple datasets taken over years, ruling out issues of data analysis and unconstrained systematics. Surface inhomogeneities on the young star can reproduce some of the difference, but required spot coverage fractions (>60%) are ruled out by the observed stellar spectrum(<20%). We find a better fit to the transmission spectrum using photochemical hazes, which were predicted to be strong in young, moderate-temperature, and large-radius planets like K2-33b. A tholin haze with CO as the dominant gaseous carbon carrier in the atmosphere can reasonably reproduce the data with small or no stellar surface inhomogeneities, consistent with the stellar spectrum. The HST data quality is insufficient for the detection of any molecular features. More observations would be required to fully characterize the hazes and spot properties and confirm the presence of CO suggested by current data., Comment: Accepted to AJ. 26 pages, 14 figures, 6 tables

Published
2022
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248. Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector

Author

DUNE Collaboration, Abud, A. Abed, Abi, B., Acciarri, R., Acero, M. A., Adames, M. R., Adamov, G., Adamowski, M., Adams, D., Adinolfi, M., Adriano, C., Aduszkiewicz, A., Aguilar, J., Ahmad, Z., Ahmed, J., Aimard, B., Akbar, F., Allison, K., Monsalve, S. Alonso, Alrashed, M., Alt, C., Alton, A., Alvarez, R., Amedo, P., Anderson, J., Andrade, D. A., Andreopoulos, C., Andreotti, M., Andrews, M. P., Andrianala, F., Andringa, S., Anfimov, N., Campanelli, W. L. Anicézio, Ankowski, A., Antoniassi, M., Antonova, M., Antoshkin, A., Antusch, S., Aranda-Fernandez, A., Arellano, L., Arnold, L. O., Arroyave, M. A., Asaadi, J., Asquith, L., Aurisano, A., Aushev, V., Autiero, D., Ayala-Torres, M., Azfar, F., Back, A., Back, H., Back, J. J., Bagaturia, I., Bagby, L., Balashov, N., Balasubramanian, S., Baldi, P., Baller, B., Bambah, B., Barao, F., Barenboim, G., Barker, G. J., Barkhouse, W., Barnes, C., Barr, G., Monarca, J. Barranco, Barros, A., Barros, N., Barrow, J. L., Basharina-Freshville, A., Bashyal, A., Basque, V., Batchelor, C., Battat, J. B. R., Battisti, F., Bay, F., Bazetto, M. C. Q., Alba, J. L. L. Bazo, Beacom, J. F., Bechetoille, E., Behera, B., Belchior, E., Bellantoni, L., Bellettini, G., Bellini, V., Beltramello, O., Benekos, N., Montiel, C. Benitez, Benjamin, D., Neves, F. Bento, Berger, J., Berkman, S., Bernardini, P., Berner, R. M., Bersani, A., Bertolucci, S., Betancourt, M., Rodríguez, A. Betancur, Bevan, A., Bezawada, Y., Bezerra, A. T., Bezerra, T. J., Bhambure, J., Bhardwaj, A., Bhatnagar, V., Bhattacharjee, M., Bhattarai, D., Bhuller, S., Bhuyan, B., Biagi, S., Bian, J., Biassoni, M., Biery, K., Bilki, B., Bishai, M., Bisignani, V., Bitadze, A., Blake, A., Blaszczyk, F. D., Blazey, G. C., Blend, D., Blucher, E., Boissevain, J., Bolognesi, S., Bolton, T., Bomben, L., Bonesini, M., Bonilla-Diaz, C., Bonini, F., Booth, A., Boran, F., Bordoni, S., Borkum, A., Bostan, N., Bour, P., Boyden, D., Bracinik, J., Braga, D., Brailsford, D., Branca, A., Brandt, A., Bremer, J., Brew, C., Brice, S. J., Brizzolari, C., Bromberg, C., Brooke, J., Bross, A., Brunetti, G., Brunetti, M., Buchanan, N., Budd, H., Buergi, J., V., G. Caceres, Cagnoli, I., Cai, T., Caiulo, D., Calabrese, R., Calafiura, P., Calcutt, J., Calin, M., Calivers, L., Calvez, S., Calvo, E., Caminata, A., Caratelli, D., Carber, D., Carceller, J. C., Carini, G., Carlus, B., Carneiro, M. F., Carniti, P., Terrazas, I. Caro, Carranza, H., Carrara, N., Carroll, L., Carroll, T., Forero, J. F. Castaño, Castillo, A., Catano-Mur, E., Cattadori, C., Cavalier, F., Cavallaro, G., Cavanna, F., Centro, S., Cerati, G., Cervelli, A., Villanueva, A. Cervera, Chakraborty, K., Chalifour, M., Chappell, A., Chardonnet, E., Charitonidis, N., Chatterjee, A., Chattopadhyay, S., Chen, H., Chen, M., Chen, Y., Chen, Z., Chen-Wishart, Z., Cheon, Y., Cherdack, D., Chi, C., Childress, S., Chirco, R., Chiriacescu, A., Chitirasreemadam, N., Cho, K., Choate, S., Chokheli, D., Chong, P. S., Chowdhury, B., Christensen, A., Christian, D., Christodoulou, G., Chukanov, A., Chung, M., Church, E., Cicero, V., Clarke, P., Cline, G., Coan, T. E., Cocco, A. G., Coelho, J. A. B., Collot, J., Conley, E., Conrad, J. M., Convery, M., Copello, S., Cova, P., Cremaldi, L., Cremonesi, L., Crespo-Anadón, J. I., Crisler, M., Cristaldo, E., Crnkovic, J., Cross, R., Cudd, A., Cuesta, C., Cui, Y., Cussans, D., Dalager, O., Dallavalle, R., da Motta, H., Dar, Z. A., Peres, L. Da Silva, David, C., David, Q., Davies, G. S., Davini, S., Dawson, J., De, K., De, S., De Almeida, P., Debbins, P., De Bonis, I., Decowski, M. P., de Gouvêa, A., De Holanda, P. C., Astiz, I. L. De Icaza, Deisting, A., De Jong, P., De la Torre, A., Delbart, A., De Leo, V., Delepine, D., Delgado, M., Dell'Acqua, A., Delmonte, N., De Lurgio, P., Neto, J. R. T. de Mello, DeMuth, D. M., Dennis, S., Densham, C., Deptuch, G. W., De Roeck, A., De Romeri, V., De Souza, G., Detje, J. P., Devi, R., Dharmapalan, R., Dias, M., Díaz, J. S., Díaz, F., Di Capua, F., Di Domenico, A., Di Domizio, S., Di Giulio, L., Ding, P., Di Noto, L., Distefano, C., Diurba, R., Diwan, M., Djurcic, Z., Doering, D., Dolan, S., Dolek, F., Dolinski, M. J., Domine, L., Donati, S., Donon, Y., Doran, S., Douglas, D., Dragone, A., Drielsma, F., Duarte, L., Duchesneau, D., Duffy, K., Dugas, K., Dunne, P., Dutta, B., Duyang, H., Dvornikov, O., Dwyer, D. A., Dyshkant, A. S., Eads, M., Earle, A., Edmunds, D., Eisch, J., Emberger, L., Englezos, P., Ereditato, A., Erjavec, T., Escobar, C. O., Evans, J. J., Ewart, E., Ezeribe, A. C., Fahey, K., Fajt, L., Falcone, A., Fani', M., Farnese, C., Farzan, Y., Fedoseev, D., Felix, J., Feng, Y., Fernandez-Martinez, E., Ferraro, F., Fields, L., Filip, P., Filkins, A., Filthaut, F., Fine, R., Fiorillo, G., Fiorini, M., Fischer, V., Fitzpatrick, R. S., Flanagan, W., Fleming, B., Flight, R., Fogarty, S., Foreman, W., Fowler, J., Franc, J., Franco, D., Freeman, J., Freestone, J., Fried, J., Friedland, A., Fuess, S., Furic, I. K., Furman, K., Furmanski, A. P., Gabrielli, A., Gago, A., Gallagher, H., Gallas, A., Gallego-Ros, A., Gallice, N., Galymov, V., Gamberini, E., Gamble, T., Ganacim, F., Gandhi, R., Ganguly, S., Gao, F., Gao, S., Garcia-Gamez, D., García-Peris, M. Á., Gardiner, S., Gastler, D., Gauch, A., Gauvreau, J., Gauzzi, P., Ge, G., Geffroy, N., Gelli, B., Gendotti, A., Gent, S., Ghorbani-Moghaddam, Z., Giammaria, P., Giammaria, T., Giangiacomi, N., Gibin, D., Gil-Botella, I., Gilligan, S., Gioiosa, A., Girerd, C., Giri, A. K., Gnani, D., Gogota, O., Gold, M., Gollapinni, S., Gollwitzer, K., Gomes, R. A., Bermeo, L. V. Gomez, Fajardo, L. S. Gomez, Gonnella, F., Gonzalez-Diaz, D., Gonzalez-Lopez, M., Goodman, M. C., Goodwin, O., Goswami, S., Gotti, C., Goudzovski, E., Grace, C., Gran, R., Granados, E., Granger, P., Grant, C., Gratieri, D., Green, P., Greenberg, S., Greenler, L., Greer, J., Grenard, J., Griffith, W. C., Groetschla, F. T., Groh, M., Grzelak, K., Gu, W., Guardincerri, E., Guarino, V., Guarise, M., Guenette, R., Guerard, E., Guerzoni, M., Guffanti, D., Guglielmi, A., Guo, B., Gupta, A., Gupta, V., Guthikonda, K. K., Guzowski, P., Guzzo, M. M., Gwon, S., Ha, C., Haaf, K., Habig, A., Hadavand, H., Haenni, R., Hagaman, L., Hahn, A., Haiston, J., Hamacher-Baumann, P., Hamernik, T., Hamilton, P., Han, J., Harris, D. A., Hartnell, J., Hartnett, T., Harton, J., Hasegawa, T., Hasnip, C., Hatcher, R., Hatfield, K. W., Hatzikoutelis, A., Hayes, C., Hayrapetyan, K., Hays, J., Hazen, E., He, M., Heavey, A., Heeger, K. M., Heise, J., Henry, S., Morquecho, M. A. Hernandez, Herner, K., Hewes, V., Hilgenberg, C., Hill, T., Hillier, S. J., Himmel, A., Hinkle, E., Hirsch, L. R., Hoff, J., Holin, A., Hoppe, E., Horton-Smith, G. A., Hostert, M., Hourlier, A., Howard, B., Howell, R., Barrios, J. Hoyos, Hristova, I., Hronek, M. S., Huang, J., Huang, R. G., Hulcher, Z., Iles, G., Ilic, N., Iliescu, A. M., Illingworth, R., Ingratta, G., Ioannisian, A., Irwin, B., Isenhower, L., Oliveira, M. Ismerio, Itay, R., Jackson, C. M., Jain, V., James, E., Jang, W., Jargowsky, B., Jediny, F., Jena, D., Jeong, Y. S., Jesús-Valls, C., Ji, X., Jiang, J., Jiang, L., Jipa, A., Jo, J. H., Joaquim, F. R., Johnson, W., Jones, B., Jones, R., Jovancevic, N., Judah, M., Jung, C. K., Junk, T., Jwa, Y., Kabirnezhad, M., Kaboth, A., Kadenko, I., Kakorin, I., Kalitkina, A., Kalra, D., Koseyan, O. Kamer, Kamiya, F., Kaplan, D. M., Karagiorgi, G., Karaman, G., Karcher, A., Karyotakis, Y., Kasai, S., Kasetti, S. P., Kashur, L., Katsioulas, I., Kazaryan, N., Kearns, E., Keener, P., Kelly, K. J., Kemp, E., Kemularia, O., Ketchum, W., Kettell, S. H., Khabibullin, M., Khotjantsev, A., Khvedelidze, A., Kim, D., King, B., Kirby, B., Kirby, M., Klein, J., Kleykamp, J., Klustova, A., Kobilarcik, T., Koehler, K., Koerner, L. W., Koh, D. H., Kohn, S., Koller, P. P., Kolupaeva, L., Korablev, D., Kordosky, M., Kosc, T., Kose, U., Kostelecký, V. A., Kothekar, K., Kotler, I., Kozhukalov, V., Kralik, R., Kreczko, L., Krennrich, F., Kreslo, I., Kropp, W., Kroupova, T., Kudenko, Y., Kudryavtsev, V. A., Kuhlmann, S., Kulagin, S., Kumar, J., Kumar, P., Kunze, P., Kuravi, R., Kurita, N., Kuruppu, C., Kus, V., Kutter, T., Kvasnicka, J., Kwak, D., Lambert, A., Land, B. J., Lane, C. E., Lang, K., Langford, T., Langstaff, M., Lanni, F., Lantwin, O., Larkin, J., Lasorak, P., Last, D., Laundrie, A., Laurenti, G., Lawrence, A., Laycock, P., Lazanu, I., Lazzaroni, M., Le, T., Leardini, S., Learned, J., LeBrun, P., LeCompte, T., Lee, C., Legin, V., Miotto, G. Lehmann, Lehnert, R., de Oliveira, M. A. Leigui, Leitner, M., Lepin, L. M., Li, S. W., Li, Y., Liao, H., Lin, C. S., Lin, S., Lineros, R. A., Ling, J., Lister, A., Littlejohn, B. R., Liu, J., Liu, Y., Lockwitz, S., Loew, T., Lokajicek, M., Lomidze, I., Long, K., Lord, T., LoSecco, J. M., Louis, W. C., Lu, X. -G., Luk, K. B., Lunday, B., Luo, X., Luppi, E., Lux, T., Luzio, V. P., Maalmi, J., MacFarlane, D., Machado, A. A., Machado, P., Macias, C. T., Macier, J. R., Maddalena, A., Madera, A., Madigan, P., Magill, S., Mahn, K., Maio, A., Major, A., Majumdar, K., Maloney, J. A., Mandrioli, G., Mandujano, R. C., Maneira, J., Manenti, L., Manly, S., Mann, A., Manolopoulos, K., Plata, M. Manrique, Manyam, V. N., Marchan, M., Marchionni, A., Marciano, W., Marfatia, D., Mariani, C., Maricic, J., Marinho, F., Marino, A. D., Markiewicz, T., Marsden, D., Marshak, M., Marshall, C. M., Marshall, J., Marteau, J., Martín-Albo, J., Martinez, N., Caicedo, D. A. Martinez, López, F. Martínez, Miravé, P. Martínez, Martynenko, S., Mascagna, V., Mason, K., Mastbaum, A., Matichard, F., Matsuno, S., Matthews, J., Mauger, C., Mauri, N., Mavrokoridis, K., Mawby, I., Mazza, R., Mazzacane, A., McAskill, T., McCluskey, E., McConkey, N., McFarland, K. S., McGrew, C., McNab, A., Mefodiev, A., Mehta, P., Melas, P., Mena, O., Mendez, H., Mendez, P., Méndez, D. P., Menegolli, A., Meng, G., Messier, M. D., Metcalf, W., Mewes, M., Meyer, H., Miao, T., Michna, G., Mikola, V., Milincic, R., Miller, G., Miller, W., Mills, J., Mineev, O., Minotti, A., Miranda, O. G., Miryala, S., Mishra, C. S., Mishra, S. R., Mislivec, A., Mitchell, M., Mladenov, D., Mocioiu, I., Moffat, K., Mogan, A., Moggi, N., Mohanta, R., Mohayai, T. A., Mokhov, N., Molina, J., Bueno, L. Molina, Montagna, E., Montanari, A., Montanari, C., Montanari, D., Montanino, D., Zetina, L. M. Montaño, Moon, S. H., Mooney, M., Moor, A. F., Moreno, D., Moretti, D., Morris, C., Mossey, C., Mote, M., Motuk, E., Moura, C. A., Mousseau, J., Mouster, G., Mu, W., Mualem, L., Mueller, J., Muether, M., Muheim, F., Muir, A., Mulhearn, M., Munford, D., Muramatsu, H., Murphy, M., Murphy, S., Musser, J., Nachtman, J., Nagai, Y., Nagu, S., Nalbandyan, M., Nandakumar, R., Naples, D., Narita, S., Nath, A., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Negishi, K., Nelson, J. K., Nelson, M., Nesbit, J., Nessi, M., Newbold, D., Newcomer, M., Newton, H., Nichol, R., Nicolas-Arnaldos, F., Nikolica, A., Nikolov, J., Niner, E., Nishimura, K., Norman, A., Norrick, A., Novella, P., Nowak, J. A., Oberling, M., Ochoa-Ricoux, J. P., Olivier, A., Olshevskiy, A., Onel, Y., Onishchuk, Y., Ormachea, L. Otiniano, Ott, J., Pagani, L., Palacio, G., Palamara, O., Palestini, S., Paley, J. M., Pallavicini, M., Palomares, C., Pan, S., Vazquez, W. Panduro, Pantic, E., Paolone, V., Papadimitriou, V., Papaleo, R., Papanestis, A., Paramesvaran, S., Parke, S., Parozzi, E., Parsa, S., Parsa, Z., Parveen, S., Parvu, M., Pasciuto, D., Pascoli, S., Pasqualini, L., Pasternak, J., Pater, J., Patrick, C., Patrizii, L., Patterson, R. B., Patton, S. J., Patzak, T., Paudel, A., Paulucci, L., Pavlovic, Z., Pawloski, G., Payne, D., Pec, V., Peeters, S. J. M., Perez, A. Pena, Pennacchio, E., Penzo, A., Peres, O. L. G., Pernas, C., Perry, J., Pershey, D., Pessina, G., Petrillo, G., Petta, C., Petti, R., Pia, V., Pickering, L., Pietropaolo, F., Pimentel, V. L., Pinaroli, G., Plows, K., Plunkett, R., Pompa, F., Pons, X., Poonthottathil, N., Poppi, F., Pordes, S., Porter, J., Porzio, S. D., Potekhin, M., Potenza, R., Potukuchi, B. V. K. S., Pozimski, J., Pozzato, M., Prakash, S., Prakash, T., Pratt, C., Prest, M., Psihas, F., Pugnere, D., Qian, X., Raaf, J. L., Radeka, V., Rademacker, J., Radev, R., Radics, B., Rafique, A., Raguzin, E., Rai, M., Rajaoalisoa, M., Rakhno, I., Rakotonandrasana, A., Rakotondravohitra, L., Rameika, R., Delgado, M. A. Ramirez, Ramson, B., Rappoldi, A., Raselli, G., Ratoff, P., Raut, S., Razafinime, H., Razakamiandra, R. F., Rea, E. M., Real, J. S., Rebel, B., Rechenmacher, R., Reggiani-Guzzo, M., Reichenbacher, J., Reitzner, S. D., Sfar, H. Rejeb, Renshaw, A., Rescia, S., Resnati, F., Ribas, M., Riboldi, S., Riccio, C., Riccobene, G., Rice, L. C. J., Ricol, J. S., Rigamonti, A., Rigaut, Y., Rincón, E. V., Ritchie-Yates, A., Rivera, D., Rivera, R., Robert, A., Rocha, J. L. Rocabado, Rochester, L., Roda, M., Rodrigues, P., Alonso, M. J. Rodriguez, Rondon, J. Rodriguez, Romeo, E., Rosauro-Alcaraz, S., Rosier, P., Rossella, M., Rossi, M., Ross-Lonergan, M., Rout, J., Roy, P., Rubbia, A., Rubbia, C., Russell, B., Ruterbories, D., Rybnikov, A., Saa-Hernandez, A., Saakyan, R., Sacerdoti, S., Sahu, N., Sala, P., Samios, N., Samoylov, O., Sanchez, M. C., Sandberg, V., Sanders, D. A., Sankey, D., Santoro, D., Saoulidou, N., Sapienza, P., Sarasty, C., Sarcevic, I., Savage, G., Savinov, V., Scanavini, G., Scaramelli, A., Scarff, A., Scarpelli, A., Schefke, T., Schellman, H., Schifano, S., Schlabach, P., Schmitz, D., Schneider, A. W., Scholberg, K., Schukraft, A., Segreto, E., Selyunin, A., Senise, C. R., Sensenig, J., Sgalaberna, D., Shaevitz, M. H., Shafaq, S., Shaker, F., Shamma, M., Shanahan, P., Sharankova, R., Sharma, H. R., Sharma, R., Kumar, R., Shaw, K., Shaw, T., Shchablo, K., Shepherd-Themistocleous, C., Sheshukov, A., Shi, W., Shin, S., Shoemaker, I., Shooltz, D., Shrock, R., Silber, J., Simard, L., Sinclair, J., Sinev, G., Singh, Jaydip, Singh, J., Singh, L., Singh, P., Singh, V., Chauhan, S. Singh, Sipos, R., Sirri, G., Sitraka, A., Siyeon, K., Skarpaas, K., Smith, E., Smith, P., Smolik, J., Smy, M., Snider, E. L., Snopok, P., Snowden-Ifft, D., Nunes, M. Soares, Sobel, H., Soderberg, M., Sokolov, S., Salinas, C. J. Solano, Söldner-Rembold, S., Soleti, S. R., Solomey, N., Solovov, V., Sondheim, W. E., Sorel, M., Sotnikov, A., Soto-Oton, J., Sousa, A., Soustruznik, K., Spagliardi, F., Spanu, M., Spitz, J., Spooner, N. J. C., Spurgeon, K., Stalder, D., Stancari, M., Stanco, L., Steenis, J., Stein, R., Steiner, H. M., Lisbôa, A. F. Steklain, Stepanova, A., Stewart, J., Stillwell, B., Stock, J., Stocker, F., Stokes, T., Strait, M., Strauss, T., Strigari, L., Stuart, A., Suarez, J. G., Subash, J., Surdo, A., Susic, V., Suter, L., Sutera, C. M., Suvorov, Y., Svoboda, R., Szczerbinska, B., Szelc, A. M., Talukdar, N., Tamara, J., Tanaka, H. A., Tang, S., Oregui, B. Tapia, Tapper, A., Tariq, S., Tarpara, E., Tata, N., Tatar, E., Tayloe, R., Teklu, A. M., Tennessen, P., Tenti, M., Terao, K., Terranova, F., Testera, G., Thakore, T., Thea, A., Thompson, A., Thorn, C., Timm, S. C., Tishchenko, V., Todorović, N., Tomassetti, L., Tonazzo, A., Torbunov, D., Torti, M., Tortola, M., Tortorici, F., Tosi, N., Totani, D., Toups, M., Touramanis, C., Travaglini, R., Trevor, J., Trilov, S., Trzaska, W. H., Tsai, Y., Tsai, Y. -T., Tsamalaidze, Z., Tsang, K. V., Tsverava, N., Tufanli, S., Tull, C., Turner, J., Tyler, J., Tyley, E., Tzanov, M., Uboldi, L., Uchida, M. A., Urheim, J., Usher, T., Utaegbulam, H., Uzunyan, S., Vagins, M. R., Vahle, P., Valder, S., Valdiviesso, G. D. A., Valencia, E., Valentim, R., Vallari, Z., Vallazza, E., Valle, J. W. F., Vallecorsa, S., Van Berg, R., Van de Water, R. G., Forero, D. Vanegas, Vannerom, D., Varanini, F., Oliva, D. Vargas, Varner, G., Vasina, S., Vaughan, N., Vaziri, K., Vega, J., Ventura, S., Verdugo, A., Vergani, S., Vermeulen, M. A., Verzocchi, M., Vicenzi, M., de Souza, H. Vieira, Vignoli, C., Vilela, C., Viren, B., Vrba, T., Vuong, Q., Wachala, T., Waldron, A. V., Wallbank, M., Walton, T., Wang, H., Wang, J., Wang, L., Wang, M. H. L. S., Wang, X., Wang, Y., Warburton, K., Warner, D., Wascko, M. O., Waters, D., Watson, A., Wawrowska, K., Weatherly, P., Weber, A., Weber, M., Wei, H., Weinstein, A., Wenman, D., Wetstein, M., Whilhelmi, J., White, A., Whitehead, L. H., Whittington, D., Wilking, M. J., Wilkinson, A., Wilkinson, C., Williams, Z., Wilson, F., Wilson, R. J., Wisniewski, W., Wolcott, J., Wolfs, J., Wongjirad, T., Wood, A., Wood, K., Worcester, E., Worcester, M., Wospakrik, M., Wresilo, K., Wret, C., Wu, S., Wu, W., Xiao, Y., Xiotidis, I., Yaeggy, B., Yandel, E., Yang, G., Yang, K., Yang, T., Yankelevich, A., Yershov, N., Yonehara, K., Yoon, Y. S., Young, T., Yu, B., Yu, H., Yu, J., Yu, Y., Yuan, W., Zaki, R., Zalesak, J., Zambelli, L., Zamorano, B., Zani, A., Zazueta, L., Zeller, G. P., Zennamo, J., Zeug, K., Zhang, C., Zhang, S., Zhang, Y., Zhao, M., Zhivun, E., Zimmerman, E. D., Zucchelli, S., Zuklin, J., Zutshi, V., and Zwaska, R.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

Measurements of electrons from $\nu_e$ interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the DUNE far detector, built and operated at CERN as a charged particle test beam experiment. A sample of low-energy electrons produced by the decay of cosmic muons is selected with a purity of 95%. This sample is used to calibrate the low-energy electron energy scale with two techniques. An electron energy calibration based on a cosmic ray muon sample uses calibration constants derived from measured and simulated cosmic ray muon events. Another calibration technique makes use of the theoretically well-understood Michel electron energy spectrum to convert reconstructed charge to electron energy. In addition, the effects of detector response to low-energy electron energy scale and its resolution including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectrum is derived and the energy resolution is characterized. The low-energy electron selection presented here accounts for about 75% of the total electron deposited energy. After the addition of lost energy using a Monte Carlo simulation, the energy resolution improves from about 40% to 25% at 50~MeV. These results are used to validate the expected capabilities of the DUNE far detector to reconstruct low-energy electrons., Comment: 19 pages, 10 figures

Published
2022

249. Measurements of $K^0_{\textrm{S}}$, $\Lambda$ and $\bar{\Lambda}$ production in 120 GeV/$c$ p + C interactions

Author

Collaboration, NA61/SHINE, Adhikary, H., Allison, K. K., Amin, N., Andronov, E. V., Antićić, T., Arsene, I. -C., Balkova, Y., Baszczyk, M., Battaglia, D., Bhosale, S., Blondel, A., Bogomilov, M., Bondar, Y., Bostan, N., Brandin, A., Bravar, A., Bryliński, W., Brzychczyk, J., Buryakov, M., Ćirković, M., Csanad, M., Cybowska, J., Czopowicz, T., Damyanova, A., Davis, N., Dembinski, H., Dmitriev, A., Dominik, W., Dorosz, P., Dumarchez, J., Engel, R., Feofilov, G. A., Fields, L., Fodor, Z., Friend, M., Garibov, A., Gaździcki, M., Golosov, O., Golovatyuk, V., Golubeva, M., Grebieszkow, K., Guber, F., Haesler, A., Haug, M., Igolkin, S. N., Ilieva, S., Ivashkin, A., Izvestnyy, A., Johnson, S. R., Kadija, K., Kargin, N., Karpushkin, N., Kashirin, E., Kiełbowicz, M., Kireyeu, V. A., Kitagawa, H., Kolesnikov, R., Kolev, D., Korzenev, A., Koshio, Y., Kovalenko, V. N., Kowalski, S., Kozłowski, B., Krasnoperov, A., Kucewicz, W., Kuchowicz, M., Kuich, M., Kurepin, A., László, A., Lewicki, M., Lykasov, G., Lyubushkin, V. V., Maćkowiak-Pawłowska, M., Mariş, I. C., Majka, Z., Makhnev, A., Maksiak, B., Malakhov, A. I., Marcinek, A., Marino, A. D., Marton, K., Mathes, H. -J., Matulewicz, T., Matveev, V., Melkumov, G. L., Merzlaya, A., Messerly, B., Mik, Ł., Morawiec, A., Morozov, S., Nagai, Y., Nakadaira, T., Naskręt, M., Nishimori, S., Ozvenchuk, V., Panova, O., Paolone, V., Petukhov, O., Pidhurskyi, I., Płaneta, R., Podlaski, P., Popov, B. A., Porfy, B., Posiadała-Zezula, M., Prado, R. R., Prokhorova, D. S., Pszczel, D., Puławski, S., Puzović, J., Ravonel, M., Renfordt, R., Röhrich, D., Rondio, E., Roth, M., Rozpłochowski, Ł., Rumberger, B. T., Rumyantsev, M., Ruprecht, M., Rustamov, A., Rybczynski, M., Rybicki, A., Sakashita, K., Schmidt, K., Seryakov, A. Yu., Seyboth, P., Shiraishi, Y., Słodkowski, M., Staszel, P., Stefanek, G., Stepaniak, J., Strikhanov, M., Ströbele, H., Šuša, T., Szuba, M., Szukiewicz, R., Taranenko, A., Tefelska, A., Tefelski, D., Tereshchenko, V., Toia, A., Tsenov, R., Turko, L., Tveter, T. S., Ulrich, R., Unger, M., Urbaniak, M., Valiev, F. F., Veberič, D., Vechernin, V. V., Volkov, V., Wickremasinghe, A., Wójcik, K., Wyszyński, O., Zaitsev, A., Zimmerman, E. D., Zviagina, A., and Zwaska, R.

Subjects
High Energy Physics - Experiment, Nuclear Experiment
Abstract

This paper presents multiplicity measurements of $K^0_{\textrm{S}}$, $\Lambda$, and $\bar{\Lambda}$ produced in 120 GeV/$c$ proton-carbon interactions. The measurements were made using data collected at the NA61/SHINE experiment during two different periods. Decays of these neutral hadrons impact the measured $\pi^+$, $\pi^-$, $p$ and $\bar{p}$ multiplicities in the 120 GeV/$c$ proton-carbon reaction, which are crucial inputs for long-baseline neutrino experiment predictions of neutrino beam flux. The double-differential multiplicities presented here will be used to more precisely measure charged-hadron multiplicities in this reaction, and to re-weight neutral hadron production in neutrino beam Monte Carlo simulations.

Published
2022

250. The physical meaning of the holographic principle

Author

Fields, Chris, Glazebrook, James F., and Marciano, Antonino

Subjects
Quantum Physics, General Relativity and Quantum Cosmology, High Energy Physics - Theory
Abstract

We show in this pedagogical review that far from being "an apparent law of physics that stands by itself" (R. Bousso, Rev. Mod. Phys. 74 (2002), 825-874), the holographic principle (HP) is a straightforward consequence of the quantum information theory of separable systems. It provides a basis for the theories of measurement, time, and scattering. Principles equivalent to the HP appear in both computer science and the life sciences, suggesting that the HP is not just a fundamental principle of physics, but of all of science., Comment: 39 pages, 8 figures

Published
2022
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