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Consensus Recommendations for Hyperpolarized [1‐13C]pyruvate MRI Multi-center Human Studies

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arXiv 2025年

作者： Punwani, Shonit Larson, Peder E.Z. Laustsen, Christoffer VanderMeulen, Jan Ardenkjær-Larsen, Jan Henrik Autry, Adam W. Bankson, James A. Bernard, Jenna Bok, Robert Bertelsen, Lotte Bonde Che, Jenny Chen, Albert P. Chowdhury, Rafat Comment, Arnaud Cunningham, Charles H. Dang, Duy Gallagher, Ferdia A. Gaunt, Adam Gong, Yangcan Gordon, Jeremy W. Grimmer, Ashley Grist, James Hansen, Esben Søvsø Szocska Lerche, Mathilde Hauge Hesketh, Richard L. Hoevener, Jan-Bernd Hsieh, Ching-Yi Keshari, Kayvan R. Kozerke, Sebastian Lanz, Titus Mayer, Dirk McLean, Mary park, Jae Mo Slater, Jim Tyler, Damian Vanderheyden, Jean-Luc von Morze, Cornelius Zaccagna, Fulvio Zaha, Vlad Xu, Duan Vigneron, Daniel Department of Radiology University College London Hospital NHS Foundation Trust London United Kingdom Centre for Medical Imaging University College London London United Kingdom Department of Radiology and Biomedical Imaging University of California San FranciscoCA94143 United States The MR Research Center Department of Clinical Medicine Aarhus University Aarhus Denmark Department of Health Services Research & Policy London School of Hygiene & Tropical Medicine London United Kingdom Department of Imaging Physics The University of Texas MD Anderson Cancer Center HoustonTX United States GE Healthcare TorontoON Canada GE HealthCare Pollards Wood Nightingales Lane Chalfont St Giles BuckinghamshireHP8 4SP United Kingdom Physical Sciences Sunnybrook Research Institute TorontoON Canada Department of Medical Biophysics University of Toronto TorontoON Canada Department of Radiology University of Cambridge Cambridge University Hospitals NHS Foundation Trust Cambridge United Kingdom GE Healthcare San FranciscoCA United States Oxford Centre for Clinical Magnetic Resonance Research University of Oxford Oxford United Kingdom Department of Health Technology Technical University of Denmark Kgs. Lyngby2800 Denmark Cancer Research UK Cambridge Institute University of Cambridge Cambridge United Kingdom Section Biomedical Imaging University Hospital Schleswig-Holstein Kiel University Campus Kiel Germany Research Center for Radiation Medicine Chang Gung University Taoyuan Taiwan Department of Medical Imaging and Intervention Chang Gung Memorial Hospital at Linkou Taoyuan Taiwan Department of Radiology Memorial Sloan Kettering Cancer Center New YorkNY United States Molecular Pharmacology Program Memorial Sloan Kettering Cancer Center New YorkNY United States Institute for Biomedical Engineering University and ETH Zurich Zurich Switzerland RAPID Biomedical GmbH Rimpar97222 Germany Department of Diagnostic Radiology and Nuclear Medicine University of Mary

Magnetic resonance imaging of hyperpolarized (HP) [1-13C]pyruvate allows in-vivo assessment of metabolism and has translated into human studies across diseases at 15 centers worldwide. Consensus on best practice for multi-center studies is required to develop clinical applications. This paper presents the results of a 2-round formal consensus building exercise carried out by experts with HP [1-13C]pyruvate human study experience. Twenty-nine participants from 13 sites brought together expertise in pharmacy methods, MR physics, translational imaging, and data-analysis;with the goal of providing recommendations and best practice statements on conduct of multi-center human studies of HP [1-13C]pyruvate MRI. Overall, the group reached consensus on approximately two-thirds of 246 statements in the questionnaire, covering ‘HP 13C-Pyruvate Preparation’, ‘MRI System Setup, Calibration, and Phantoms’, ‘Acquisition and Reconstruction’, and ‘Data Analysis and Quantification’. Consensus was present across categories, examples include that: (i) different HP pyruvate preparation methods could be used in human studies, but that the same release criteria have to be followed;(ii) site qualification and quality assurance must be performed with phantoms and that the same field strength must be used, but that the rest of the system setup and calibration methods could be determined by individual sites;(iii) the same pulse sequence and reconstruction methods were preferable, but the exact choice should be governed by the anatomical target;(iv) normalized metabolite area-under-curve (AUC) values and metabolite AUC were the preferred metabolism metrics. The work confirmed areas of consensus for multi-center study conduct and identified where further research is required to ascertain best practice. © 2025, CC BY.

关键词： Redundancy

The correlation calibration of PAPER-64 data

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arXiv 2021年

作者： Gogo, Tamirat G. Ma, Yin-Zhe Kittiwisit, Piyanat Sievers, Jonathan L. Parsons, Aaron R. Pober, Jonathan C. Jacobs, Daniel C. Cheng, Carina Kolopanis, Matthew Liu, Adrian Kohn, Saul A. Aguirre, James E. Ali, Zaki S. Bernardi, Gianni Bradley, Richard F. DeBoer, David R. Dexter, Matthew R. Dillon, Joshua S. Klima, Pat MacMahon, David H.E. Moore, David F. Nunhokee, Chuneeta D. Walbrugh, William P. Walker, Andre School of Chemistry and Physics University of KwaZulu-Natal Westville Campus Private Bag X54001 Durban4000 South Africa University of KwaZulu-Natal Durban4000 South Africa Department of Physics McGill University 3600 University Street MontrealQCH3A 2T8 Canada Department of Astronomy UC Berkeley BerkeleyCA94720 United States Radio Astronomy Laboratory UC Berkeley BerkeleyCA94720 United States Department of Physics Brown University ProvidenceRI02912 United States School of Earth and Space Exploration Arizona State University TempeAZ85287 United States Department of Physics and McGill Space Institute McGill University MontrealQC Canada Gravity & the Extreme Universe Program Canadian Institute for Advanced Research 661 University Ave. Suite 505 TorontoONM5G 1M1 Canada Department of Physics and Astronomy U. Penn. PhiladelphiaPA United States INAF Istituto di Radioastronomia via Gobetti 101 Bologna40129 Italy Department of Physics and Electronics Rhodes University PO Box 94 Grahamstown6140 South Africa South African Radio Astronomy Observatory Black River Park 2 Fir Street Observatory Cape Town7925 South Africa Department of Electrical and Computer Engineering U. Virginia CharlottesvilleVA United States National Radio Astronomy Obs. CharlottesvilleVA United States Department of Astronomy U. Virginia CharlottesvilleVA United States

Observation of redshifted 21-cm signal from the Epoch of Reionization (EoR) is challenging due to contamination from the bright foreground sources that exceed the signal by several orders of magnitude. The removal of this very high foreground relies on accurate calibration to keep the intrinsic property of the foreground with frequency. Commonly employed calibration techniques for these experiments are the sky model-based and the redundant baseline-based calibration approaches. However, the sky model-based and redundant baseline-based calibration methods could suffer from sky-modeling error and array redundancy imperfection issues, respectively. In this work, we introduce the hybrid correlation calibration (CorrCal) scheme, which aims to bridge the gap between redundant and sky-based calibration by relaxing redundancy of the array and including sky information into the calibration formalisms. We demonstrate the slight improvement of power spectra, about −6% deviation at the bin right on the horizon limit of the foreground wedge-like structure, relative to the power spectra before the implementation of CorrCal to the data from the Precision Array for Probing the Epoch of Reionization (PAPER) experiment, which was otherwise calibrated using redundant baseline calibration. This small improvement of the foreground power spectra around the wedge limit could be suggestive of reduced spectral structure in the data after CorrCal calibration, which lays the foundation for future improvement of the calibration algorithm and implementation method. © 2021, CC BY.

关键词： Calibration

Moiré lattice-induced formation and tuning of hybrid dipolar excitons in twisted WS2/MoSe2 heterobilayers

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arXiv 2019年

作者： Zhang, Long Zhang, Zhe Wu, Fengcheng Wang, Danqing Gogna, Rahul Hou, Shaocong Watanabe, Kenji Taniguchi, Takashi Kulkarni, Krishnamurthy Kuo, Thomas Forrest, Stephen R. Deng, Hui Physics Department University of Michigan 450 Church Street Ann ArborMI48109-2122 United States State Key Laboratory of Surface Physics Department of Physics Fudan University Shanghai200433 China Condensed Matter Theory Center Joint Quantum Institute Department of Physics University of Maryland College ParkMD20742 United States Applied Physics Program University of Michigan 450 Church Street Ann ArborMI48109-1040 United States Department of Electrical Engineering and Computer Science University of Michigan 450 Church Street Ann ArborMI48109-1040 United States National Institute for Materials Science Tsukuba Japan

Moiré superlattices formed in van der Waals bilayers have enabled the creation and manipulation of new quantum states, as is exemplified by the discovery of superconducting and correlated insulating states in twisted bilayer graphene near the magic angle. Twisted bilayer semiconductors may lead to tunable exciton lattices and topological states, yet signatures of moiré excitons have been reported only in closely angularly-aligned bilayers. Here we report tuning of moiré lattice in WS2 /MoSe2 bilayers over a wide range of twist angles, leading to the continuous tuning of moiré - lattice induced interlayer excitons and their hybridization with optically bright intralayer excitons. A pronounced revival of the hybrid excitons takes place near commensurate twist angles, 21.8◦ and 38.2◦, due to interlayer tunneling between states connected by a moiré reciprocal lattice vector. From the angle dependence, we obtain the effective mass of the interlayer excitons and the electron inter-layer tunneling strength. These findings pave the way for understanding and engineering rich moiré -lattice induced phenomena in angle-twisted semiconductor van dar Waals heterostructures. Copyright © 2019, The Authors. All rights reserved.

关键词： Excitons

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

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arXiv 2022年

作者： Pati, Sarthak Baid, Ujjwal Edwards, Brandon Sheller, Micah Wang, Shih-Han Reina, G. Anthony Foley, Patrick Gruzdev, Alexey Karkada, Deepthi Davatzikos, Christos Sako, Chiharu Ghodasara, Satyam Bilello, Michel Mohan, Suyash Vollmuth, Philipp Brugnara, Gianluca Preetha, Chandrakanth J. Sahm, Felix Maier-Hein, Klaus Zenk, Maximilian Bendszus, Martin Wick, Wolfgang Calabrese, Evan Rudie, Jeffrey Villanueva-Meyer, Javier Cha, Soonmee Ingalhalikar, Madhura Jadhav, Manali Pandey, Umang Saini, Jitender Garrett, John Larson, Matthew Jeraj, Robert Currie, Stuart Frood, Russell Fatania, Kavi Huang, Raymond Y. Chang, Ken Balana, Carmen Capellades, Jaume Puig, Josep Trenkler, Johannes Pichler, Josef Necker, Georg Haunschmidt, Andreas Meckel, Stephan Shukla, Gaurav Liem, Spencer Alexander, Gregory S. Lombardo, Joseph Palmer, Joshua D. Flanders, Adam E. Dicker, Adam P. Sair, Haris I. Jones, Craig K. Venkataraman, Archana Jiang, Meirui So, Tiffany Y. Chen, Cheng Heng, Pheng Ann Dou, Qi Kozubek, Michal Lux, Filip Michálek, Jan Matula, Petr Keřkovský, Miloš Kopřivová, Tereza Dostál, Marek Vybíhal, Václav Vogelbaum, Michael A. Mitchell, J. Ross Farinhas, Joaquim Maldjian, Joseph A. Yogananda, Chandan Ganesh Bangalore Pinho, Marco C. Reddy, Divya Holcomb, James Wagner, Benjamin C. Ellingson, Benjamin M. Cloughesy, Timothy F. Raymond, Catalina Oughourlian, Talia Hagiwara, Akifumi Wang, Chencai To, Minh-Son Bhardwaj, Sargam Chong, Chee Agzarian, Marc Falcão, Alexandre Xavier Martins, Samuel B. Teixeira, Bernardo C.A. Sprenger, Flávia Menotti, David Lucio, Diego R. LaMontagne, Pamela Marcus, Daniel Wiestler, Benedikt Kofler, Florian Ezhov, Ivan Metz, Marie Jain, Rajan Lee, Matthew Lui, Yvonne W. McKinley, Richard Slotboom, Johannes Radojewski, Piotr Meier, Raphael Wiest, Roland Derrick, Murcia Fu, Eric Haas, Rourke Thompson, John Ormond, David Ryan Badve, Chaitra Sloan, Andrew E. Vadmal, Vachan Waite, Kristin Colen, Rivka R. Pei, Linmin Ak, Murat Srinivasan, Ashok Bapuraj, J. Rajiv Rao, Arvind Wang, Nicholas Yoshiaki, Ota Moritani, Tos University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Informatics Technical University of Munich Bavaria Munich Germany Intel Corporation Santa ClaraCA United States Department of Quantitative Biomedicine University of Zurich Zurich Switzerland Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Heidelberg Germany Department of Neuropathology Heidelberg University Hospital Heidelberg Germany Division of Medical Image Computing German Cancer Research Center Heidelberg Germany Neurology Clinic Heidelberg University Hospital Heidelberg Germany Department of Radiology & Biomedical Imaging University of California San Francisco San FranciscoCA United States Symbiosis Center for Medical Image Analysis Symbiosis International University Maharashtra Pune India Department of Neuroimaging and Interventional Radiology National Institute of Mental Health and Neurosciences Karnataka Bangalore India Department of Radiology School of Medicine and Public Health University of Wisconsin MadisonWI United States Department of Medical Physics School of Medicine and Public Health University of Wisconsin MadisonWI United States Department of Neuroradiology Clinical Neuroscience Center University Hospital Zurich University of Zurich Zurich Switzerland Leeds Teaching Hospitals Trust Department of Radiology Leeds United Kingdom Department of Radiology Brigham and Women's Hospital Harvard Medical School BostonMA United States Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital CharlestownMA United States Catalan Institute of Oncology Badalona Spain Consorci MAR Parc de Salut de Barcelona Catalonia Spain Josep Trueta University Hospital Girona Spain

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally sharing ample, and importantly diverse, data from multiple sites. However, such centralization is challenging to scale (or even not feasible) due to various limitations. Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here we present findings from the largest FL study to-date, involving data from 71 healthcare institutions across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, utilizing the largest dataset of such patients ever used in the literature (25,256 MRI scans from 6,314 patients). We demonstrate a 33% improvement over a publicly trained model to delineate the surgically targetable tumor, and 23% improvement over the tumor's entire extent. We anticipate our study to: 1) enable more studies in healthcare informed by large and diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further quantitative analyses for glioblastoma via performance optimization of our consensus model for eventual public release, and 3) demonstrate the effectiveness of FL at such scale and task complexity as a paradigm shift for multi-site collaborations, alleviating the need for data sharing. © 2022, CC BY.

关键词： Tumors

Kramers nodal lines in intercalated TaS2 superconductors

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Nature Communications 2025年第1期16卷 1-10页

作者： Zhang, Yichen Gao, Yuxiang Pulkkinen, Aki Guo, Xingyao Huang, Jianwei Guo, Yucheng Yue, Ziqin Oh, Ji Seop Moon, Alex Oudah, Mohamed Gao, Xue-Jian Marmodoro, Alberto Fedorov, Alexei Mo, Sung-Kwan Hashimoto, Makoto Lu, Donghui Rajapitamahuni, Anil Vescovo, Elio Kono, Junichiro Hallas, Alannah M. Birgeneau, Robert J. Balicas, Luis Minár, Ján Hosur, Pavan Law, Kam Tuen Morosan, Emilia Yi, Ming Department of Physics and Astronomy Rice University Houston 77005 TX United States New Technologies Research Center University of West Bohemia Plzen 301 00 Czech Republic Department of Physics Hong Kong University of Science and Technology Clear Water Bay Hong Kong Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston 77005 TX United States Smalley-Curl Institute Rice University Houston 77005 TX United States Department of Physics University of California Berkeley Berkeley 94720 CA United States National High Magnetic Field Laboratory Tallahassee Tallahassee 32310 FL United States Physics Department Florida State University Tallahassee 32306 FL United States Stewart Blusson Quantum Matter Institute University of British Columbia Vancouver Vancouver V6T 1Z4 BC Canada Advanced Light Source Lawrence Berkeley National Laboratory Berkeley Berkeley 94720 CA United States Stanford Synchrotron Radiation Lightsource SLAC National Accelerator Laboratory 2575 Sand Hill Road Menlo Park 94025 CA United States National Synchrotron Light Source II Brookhaven National Lab Upton 11973 NY United States Rice Center for Quantum Materials Rice University Houston 77005 TX United States Department of Electrical and Computer Engineering Rice University Houston 77005 TX United States Department of Materials Science and NanoEngineering Rice University Houston 77005 TX United States Department of Physics & Astronomy University of British Columbia Vancouver Vancouver V6T 1Z1 BC Canada Canadian Institute for Advanced Research Toronto Toronto M5G 1M1 ON Canada Materials Science Division Lawrence Berkeley National Laboratory Berkeley Berkeley 94720 CA United States Department of Physics and Texas Center for Superconductivity University of Houston Houston 77204 TX United States

Kramers degeneracy is one fundamental embodiment of the quantum mechanical nature of particles with half-integer spin under time reversal symmetry. Under the chiral and noncentrosymmetric achiral crystalline symmetries, Kramers degeneracy emerges respectively as topological quasiparticles of Weyl fermions and Kramers nodal lines (KNLs), anchoring the Berry phase-related physics of electrons. However, an experimental demonstration for ideal KNLs well isolated at the Fermi level is lacking. Here, we establish a class of noncentrosymmetric achiral intercalated transition metal dichalcogenide superconductors with large Ising-type spin-orbit coupling, represented by InxTaS2, to host an ideal KNL phase. We provide evidence from angle-resolved photoemission spectroscopy with spin resolution, angle-dependent quantum oscillation measurements, and ab-initio calculations. Our work not only provides a realistic platform for realizing and tuning KNLs in layered materials, but also paves the way for exploring the interplay between KNLs and superconductivity, as well as applications pertaining to spintronics, valleytronics, and nonlinear transport. © The Author(s) 2025.

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Abstracts

JOURNAL OF SPINAL CORD MEDICINE 2021年第SUPPL 1期44卷 S278-S324页

作者： [Anonymous] Department of Medicine Division of Physical Medicine and Rehabilitation University of Toronto Toronto ON CA KITE - Toronto Rehabilitation Institute University Health Network Toronto ON CA Institute for Health Policy Management and Evaluation University of Toronto Toronto ON CA Rehabilitation Sciences Institute University of Toronto Toronto ON CA Institute of Medical Sciences University of Toronto Toronto ON CA. Rehabilitation Sciences Institute University of Toronto ON CA KITE Research Institute-Toronto Rehab-University Health Network Toronto ON CA Physical Therapy Department University of Toronto ON CA Praxis Spinal Cord Institute Vancouver BC Université de Montréal (École de réadaptation) Montreal QC CA Institut de réadaptation Gingras-Linsay-de-Montréal Montreal QC CA Division of Physical Medicine & Rehabilitation Department of Medicine Faculty of Medicine & Dentistry University of Alberta Edmonton AB CA University of Calgary Calgary AB CA Alberta Health Services Centre for Family Medicine Kitchener ON CA McMaster University Department of Family Medicine Hamilton ON CA Dept. of Physical Therapy University of Toronto Toronto ON CA KITE-University Health Network Toronto ON CA Praxis Spinal Cord Institute Vancouver BC CA Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS) Quebec City QC CA Dept. of Rehabilitation Laval University Quebec City QC CA Institute of Health Policy Management and Evaluation University of Toronto Toronto ON CA School of Rehabilitation Science University of Saskatchewan Saskatoon SK CA Ontario Neurotrauma Foundation Toronto ON CA Canadian Spinal Research Organization Toronto ON CA CIUSSS du Centre-Sud-de-l ‘Île-de-Montréal (Installation Gingras-Lindsay) Montréal QC CA École de réadaptation Université de Montréal Montréal QC CA First Steps Wellness Centre Regina SK CA Stan Cassidy Centre for Rehabilitation Horizon Health Network Fredericton NB CA Departmen

An autonomous, visually-guided, counter-sUAS aerial vehicle with net countermeasure

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An autonomous, visually-guided, counter-sUAS aerial vehicle ...

AIAA Atmospheric Flight Mechanics Conference, 2016

作者： Horiuchi, Timothy K. Paras, Marc Cervi, Tim Oursler, Brent Sanz, Santiago Gaus, Joshua Mccoll, Daniel Woller, Stephen Woodbury, Donald Faruque, Imraan Xu, Huan Department of Electrical and Computer Engineering University of Maryland College ParkMD20742 United States Department of Mechanical Engineering University of Maryland College ParkMD20742 United States Department of Aerospace Engineering University of Maryland College ParkMD20742 United States Division of Research University of Maryland College ParkMD20742 United States Institute for Systems Research University of Maryland College ParkMD20742 United States Neuroscience and Cognitive Science Program University of Maryland College ParkMD20742 United States

ISBN: (数字)9781624104305

ISBN: (纸本)9781510827431

To address the growing concern of small unmanned aircraft systems (sUAS) entering the airspace over a public event, building, or other protected spaces (whether for recreational purposes or with malicious intent), we are developing a counter-sUAS solution. This solution is based on an aerial intercept vehicle that autonomously pursues the target sUAS and launches a net to entangle the propellers and/or unbalance the sUAS to bring it to the ground. The intercept vehicle is a hexacopter that is guided by a visible-light camera and a single-pixel lidar mounted on a gimbal to track the target sUAS. A custom-built, lightweight, C02 cartridge-powered, net launcher mounted to the top of the vehicle fires when the intercept vehicle is oriented properly at the target and when it is in range. In this manuscript, we describe the problem constraints, system design, image processing chain, computational infrastructure, physical implementations, and various measurements of performance. We describe the current state of development and our experience with the challenge of designing effective countermeasures. Copyright © 2016 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Image processing

Brain Perfusion Mediates the Relationship Between miRNA Levels and Postural Control

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Cerebral cortex communications

Cerebral cortex communications 2020年第1期1卷 tgaa078页

作者： Yufen Chen Amy A Herrold Zoran Martinovich Sumra Bari Nicole L Vike Anne J Blood Alexa E Walter Jaroslaw Harezlak Peter H Seidenberg Manish Bhomia Barbara Knollmann-Ritschel Khrystyna Stetsiv James L Reilly Eric A Nauman Thomas M Talavage Linda Papa Semyon Slobounov Hans C Breiter Center for Translational Imaging Department of Radiology Feinberg School of Medicine Northwestern University Chicago IL 60611 USA. Edward Hines Jr. VA Hospital Research Service Hines IL 60141 USA. Mental Health Services and Policy Program Department of Psychiatry and Behavioral Sciences Northwestern University Feinberg School of Medicine Chicago IL 60611 USA. Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University Chicago IL 60611 USA. Mood and Motor Control Laboratory Departments of Neurology and Psychiatry Massachusetts General Hospital and Harvard Medical School Boston MA 02129 USA. Department of Kinesiology Pennsylvania State University University Park PA 16802 USA. Department of Epidemiology and Biostatistics Indiana University Bloomington IN 47405 USA. Departments of Orthopaedics & Rehabilitation and Family & Community Medicine Penn State College of Medicine Hershey PA 17033 USA. Department of Pathology Uniformed Services University of the Health Sciences Bethesda MD USA. Weldon School of Biomedical Engineering Purdue University West Lafayette IN 47907 USA. School of Electrical and Computer Engineering Purdue University West Lafayette IN 47907 USA. Department of Emergency Medicine Orlando Regional Medical Center Orlando FL USA.

Transcriptomics, regional cerebral blood flow (rCBF), and a virtual reality-based spatial motor task were integrated using mediation analysis in a novel demonstration of "imaging omics." Data collected in National Collegiate Athletic Association (NCAA) Division I football athletes cleared for play before in-season training showed significant relationships in 1) elevated levels of miR-30d and miR-92a to elevated putamen rCBF, 2) elevated putamen rCBF to compromised Balance scores, and 3) compromised Balance scores to elevated microRNA (miRNA) levels. rCBF acted as a consistent mediator variable (Sobel's test < 0.05) between abnormal miRNA levels and compromised Balance scores. Given the involvement of these miRNAs in inflammation and immune function and that vascular perfusion is a component of the inflammatory response, these findings support a chronic inflammatory model in these athletes with 11 years of average football exposure. rCBF, a systems biology measure, was necessary for miRNA to affect behavior.

关键词： football athletes head acceleration events microRNAs postural control regional cerebral blood flow

A simplified, lossless re-analysis of PAPER-64

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arXiv 2019年

作者： Kolopanis, Matthew Jacobs, Daniel C. Cheng, Carina Parsons, Aaron R. Kohn, Saul A. Pober, Jonathan C. Aguirre, James E. Ali, Zaki S. Bernardi, Gianni Bradley, Richard F. Carilli, Chris L. DeBoer, David R. Dexter, Matthew R. Dillon, Joshua S. Kerrigan, Joshua Klima, Pat Liu, Adrian MacMahon, David H.E. Moore, David F. Thyagarajan, Nithyanandan Nunhokee, Chuneeta D. Walbrugh, William P. Walker, Andre School of Earth and Space Exploration Arizona State U. TempeAZ United States Astronomy Dept. U. California BerkeleyCA United States Radio Astronomy Lab. U. California BerkeleyCA United States Dept. of Physics and Astronomy U. Penn. PhiladelphiaPA United States Dept. of Physics Brown University Providence RI United States INAF-Istituto di Radioastronomia via Gobetti 101 Bologna40129 Italy Department of Physics and Electronics Rhodes University PO Box 94 Grahamstown6140 South Africa South African Radio Astronomy Observatory Black River Park 2 Fir Street Observatory Cape Town7925 South Africa Dept. of Electrical and Computer Engineering U. Virginia CharlottesvilleVA United States National Radio Astronomy Obs. CharlottesvilleVA United States Dept. of Astronomy U. Virginia CharlottesvilleVA United States National Radio Astronomy Observatory SocorroNM United States Cavendish Lab. Cambridge United Kingdom Department of Physics and McGill Space Institute McGill University MontrealQC Canada CIFAR Azrieli Global Scholar Gravity & the Extreme Universe Program Canadian Institute for Advanced Research 661 University Ave. Suite 505 TorontoONM5G 1M1 Canada

We present limits on the 21cm power spectrum from the Epoch of Reionization (EoR) using data from the 64 antenna configuration of the Donald C. Backer Precision Array for Probing the Epoch of Reionization (PAPER) analyzed through a power spectrum pipeline independent from previous PAPER analyses. Previously reported results from PAPER have been found to contain significant signal loss (Cheng et al. 2018). Several lossy steps from previous PAPER pipelines have not been included in this analysis, namely: delay-based foreground filtering, optimal fringe-rate filtering, and empirical covariance-based estimators. Steps which remain in common with previous analyses include redundant calibration and local sidereal time (LST) binning. The power spectra reported here are effectively the result of applying a linear Fourier transform analysis to the calibrated, LST binned data. This analysis also uses more data than previous publications, including the complete available redshift range of z ∼ 7.5 to 11. In previous PAPER analyses, many power spectrum measurements were found to be detections of noncosmological power at levels of significance ranging from two to hundreds of times the theoretical noise. Here, excess power is examined using redundancy between baselines and power spectrum jackknives. The upper limits we find on the 21cm power spectrum from reionization are (1500 mK)2, (1900 mK)2, (280 mK)2, (200 mK)2, (380 mK)2, (300 mK)2 at redshifts z = 10.87, 9.93, 8.68, 8.37, 8.13, and 7.48, respectively. For reasons described in (Cheng et al. 2018), these limits supersede all previous PAPER results (Ali et al. 2018). Copyright © 2019, The Authors. All rights reserved.

关键词： Power spectrum