33 research outputs found
Autoantibodies against type I IFNs in patients with life-threatening COVID-19
- Author
- Abad Capa Jorge
- Abel L.
- Abela L.
- Abelb L.
- Abelc L.
- Abers M.S.
- Agra J.J.C.
- Aguilera-Albesa S.
- Aiuti A.
- Akcan O.M.
- Al-Mulla F.
- Alarcon M.G.
- Alavoine L.
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- Alcover A.
- Aldave J.C.
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- Alkan G.
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- Amoura Z.
- Anderson M.S.
- Andrejak C.
- Angoulvant F.
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- Arquero M.F.
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- Universitat Autònoma de Barcelona
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- von Bernuth H.
- Vuotto F.
- Vélez-Santamaria V.
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- Yucel F.
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- Zwinderman A.H.
- Íñigo-Campos A.
- Publication venue
- 'American Association for the Advancement of Science (AAAS)'
- Publication date
- 01/01/2020
- Field of study
Get PDFInterindividual clinical variability in the course of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is vast. We report that at least 101 of 987 patients with life-threatening coronavirus disease 2019 (COVID-19) pneumonia had neutralizing immunoglobulin G (IgG) autoantibodies (auto-Abs) against interferon-w (IFN-w) (13 patients), against the 13 types of IFN-a (36), or against both (52) at the onset of critical disease; a few also had auto-Abs against the other three type I IFNs. The auto-Abs neutralize the ability of the corresponding type I IFNs to block SARS-CoV-2 infection in vitro. These auto-Abs were not found in 663 individuals with asymptomatic or mild SARS-CoV-2 infection and were present in only 4 of 1227 healthy individuals. Patients with auto-Abs were aged 25 to 87 years and 95 of the 101 were men. A B cell autoimmune phenocopy of inborn errors of type I IFN immunity accounts for life-threatening COVID-19 pneumonia in at least 2.6% of women and 12.5% of men
The Psychological Science Accelerator’s COVID-19 rapid-response dataset
- Author
- Aberson C.L.
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- Wichman A.L.
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- Wolfe K.
- Xiao Q.
- Yamada Y.
- Yeung S.K.
- Yu K.
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- Zambrano D.
- Zdybek P.M.
- Ziano I.
- Zickfeld J.H.
- Zorjan S.
- Zsido A.N.
- Çoksan S.
- Özdoğru A.A.
- Čadek M.
- Đorđević J.M.
- Šakan D.D.
- Štrukelj E.
- Žuro B.
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 11/02/2023
- Field of study
Get PDFIn response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data
The Psychological Science Accelerator’s COVID-19 rapid-response dataset
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- Aczel B.
- Adamkovic M.
- Adamus S.
- Adetula A.
- Adetula G.A.
- Adıgüzel A.
- Adoric V.C.
- Afhami R.
- Agadullina E.
- AGESIN B.E.
- Ahlgren L.P.
- Ahmed A.
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- Allred T.B.
- Almeida I.A.T.
- Alvarez D.S.
- Alves S.G.
- Anjum G.
- Anne M.
- Antazo B.G.
- Antfolk J.
- Anton-Boicuk L.
- Arinze A.I.
- Arinze N.C.
- Arriaga P.
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- Arvanitis A.
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- Azevedo F.
- Azouaghe S.
- Bai H.
- Baklanova E.
- Balci B.B.
- Ballantyne T.
- Baník G.
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- Baskin E.
- Batres C.
- Bavolar J.
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- Beitner J.
- Belaus A.
- Berkessel J.B.
- Beshears J.E.
- Bialobrzeska O.
- Białek M.
- Bijlstra G.
- Bokkour A.
- Boudesseul J.
- Bran A.
- Buchanan E.M.
- Bundt C.
- Butt M.M.
- Calin-Jageman R.J.
- Capizzi M.
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- Chen Z.
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- Chopik W.J.
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- Cohen N.
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- Collins W.M.
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- Daches S.
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- Davis W.E.
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- Suchow J.W.
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- Szala A.
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- Szwed P.
- Tamnes C.K.
- Tatachari S.
- Thi Nguyen T.-V.
- Thomas A.G.
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- Tran U.S.
- Travaglino G.A.
- Tullett A.M.
- Tümer M.
- Urban J.
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- Vaidis D.C.
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- Vdovic M.
- Vega D.
- Venegas M.C.T.
- Verbruggen F.
- Verharen J.P.H.
- Vezirian K.
- Vieira L.
- Vilar R.
- Vilares I.
- Vilsmeier J.K.
- Vintr J.
- Volz L.
- von Bastian C.C.
- Voracek M.
- Vranka M.A.
- Walczak R.B.
- Wang K.
- Warmelink L.
- Westerlund M.
- Westgate E.C.
- Wichman A.L.
- Willis M.L.
- Wolfe K.
- Xiao Q.
- Yamada Y.
- Yeung S.K.
- Yu K.
- Zakharov I.
- Zambrano D.
- Zdybek P.M.
- Ziano I.
- Zickfeld J.H.
- Zorjan S.
- Zsido A.N.
- Çoksan S.
- Özdoğru A.A.
- Čadek M.
- Đorđević J.M.
- Šakan D.D.
- Štrukelj E.
- Žuro B.
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 11/02/2023
- Field of study
Get PDFIn response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data
The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe
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- Brandt A.
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- Vignoli C.
- Viren B.
- Wahl D.
- Waldron A.
- Walter C.W.
- Wang H.
- Wang W.
- Warburton K.
- Warner D
- Wasserman R.
- Water R.V.D.
- Watson B.
- Weber A..
- Wei W.
- Wells D.
- Wetstein M
- White A..
- White H.
- Whitehead L.
- Whittington D.
- Willhite J.
- Wilson R.J.
- Winslow L.
- Wood K.
- Worcester E.
- Worcester M.
- Xin T.
- Yarritu K.
- Ye J.
- Yeh M.
- Yu B.
- Yu J.
- Yuan T.
- Zani A.
- Zeller G.P.
- Zhang C.
- Zhang C.
- Zia F.L.
- Zimmerman E.D.
- Zwaska R.
- Publication venue
- Publication date
- 28/07/2013
- Field of study
Get PDFThe preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay --- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our Universe, its current state and its eventual fate. The Long-Baseline Neutrino Experiment (LBNE) represents an extensively developed plan for a world-class experiment dedicated to addressing these questions. LBNE is conceived around three central components: (1) a new, high-intensity neutrino source generated from a megawatt-class proton accelerator at Fermi National Accelerator Laboratory, (2) a near neutrino detector just downstream of the source, and (3) a massive liquid argon time-projection chamber deployed as a far detector deep underground at the Sanford Underground Research Facility. This facility, located at the site of the former Homestake Mine in Lead, South Dakota, is approximately 1,300 km from the neutrino source at Fermilab -- a distance (baseline) that delivers optimal sensitivity to neutrino charge-parity symmetry violation and mass ordering effects. This ambitious yet cost-effective design incorporates scalability and flexibility and can accommodate a variety of upgrades and contributions. With its exceptional combination of experimental configuration, technical capabilities, and potential for transformative discoveries, LBNE promises to be a vital facility for the field of particle physics worldwide, providing physicists from around the globe with opportunities to collaborate in a twenty to thirty year program of exciting science. In this document we provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess
Long-baseline neutrino oscillation physics potential of the DUNE experiment: DUNE Collaboration
- Publication venue
- Publication date
- 01/01/2020
- Field of study
No full textThe sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far detector and a full simulation and parameterized analysis of the near detector. Detailed uncertainties due to the flux prediction, neutrino interaction model, and detector effects are included. DUNE will resolve the neutrino mass ordering to a precision of 5σ, for all δCP values, after 2 years of running with the nominal detector design and beam configuration. It has the potential to observe charge-parity violation in the neutrino sector to a precision of 3σ (5σ) after an exposure of 5 (10) years, for 50% of all δCP values. It will also make precise measurements of other parameters governing long-baseline neutrino oscillation, and after an exposure of 15 years will achieve a similar sensitivity to sin 22 θ13 to current reactor experiments. © 2020, The Author(s)
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
- Author
- Abed Abud Adam
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- Wilkinson Callum
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- Wongjirad Taritree
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- Wood Kevin
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- Worcester Matthew
- Wresilo Karolina
- Wret Clarence
- Wu Wanwei
- Wu Wenjie
- Xiao Yiwen
- Yaeggy Barbara
- Yandel Erin
- Yang Guang
- Yang Kang
- Yang Tingjun
- Yankelevich Alejandro
- Yershov Nikolai
- Yonehara Katsuya
- Yoon Young Soo
- Young Tim
- Yu Bo
- Yu Haiwang
- Yu Hongzhao
- Yu Jae
- Yu Yiding
- Yuan Wenlong
- Zaki Rowan
- Zalesak Jaroslav
- Zambelli Laura
- Zamorano Bruno
- Zani Andrea
- Zazueta Luis
- Zeller Geralyn
- Zennamo Joseph
- Zeug Kyle
- Zhang Chao
- Zhang Shuaixiang
- Zhang Yuze
- Zhao Manhong
- Zhivun Elena
- Zhu Guanying
- Zimmerman Eric
- Zucchelli Stefano
- Zuklin Josef
- Zutshi Vishnu
- Zwaska Robert
- Publication venue
- HAL CCSD
- Publication date
- 18/07/2022
- Field of study
No full textInternational audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/c charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6% and 84.1±0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
- Author
- Abed Abud Adam
- Abi Babak
- Acciarri Roberto
- Acero Mario
- Adames Marcio
- Adamov George
- Adamowski Mark
- Adams David
- Adinolfi Marco
- Adriano Cris
- Aduszkiewicz Antoni
- Aguilar Jessica
- Ahmad Zubayer
- Ahmed Jhanzeb
- Aimard Benjamin
- Akbar Faiza
- Ali-Mohammadzadeh Behnam
- Allison Kyle
- Alonso Monsalve Saul
- Alrashed Munera
- Alt Christoph
- Alton Andrew
- Alvarez Rodrigo
- Amedo Pablo
- Anderson John
- Andreopoulos Costas
- Andreotti Mirco
- Andrews Michael P.
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- Ankowski Artur
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- Whittington Denver
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- Wilkinson Callum
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- Wisniewski William
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- Wongjirad Taritree
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- Wood Kevin
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- Worcester Matthew
- Wresilo Karolina
- Wret Clarence
- Wu Wanwei
- Wu Wenjie
- Xiao Yiwen
- Yaeggy Barbara
- Yandel Erin
- Yang Guang
- Yang Kang
- Yang Tingjun
- Yankelevich Alejandro
- Yershov Nikolai
- Yonehara Katsuya
- Yoon Young Soo
- Young Tim
- Yu Bo
- Yu Haiwang
- Yu Hongzhao
- Yu Jae
- Yu Yiding
- Yuan Wenlong
- Zaki Rowan
- Zalesak Jaroslav
- Zambelli Laura
- Zamorano Bruno
- Zani Andrea
- Zazueta Luis
- Zeller Geralyn
- Zennamo Joseph
- Zeug Kyle
- Zhang Chao
- Zhang Shuaixiang
- Zhang Yuze
- Zhao Manhong
- Zhivun Elena
- Zhu Guanying
- Zimmerman Eric
- Zucchelli Stefano
- Zuklin Josef
- Zutshi Vishnu
- Zwaska Robert
- Publication venue
- HAL CCSD
- Publication date
- 18/07/2022
- Field of study
No full textInternational audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/c charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6% and 84.1±0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
- Author
- Abed Abud Adam
- Abi Babak
- Acciarri Roberto
- Acero Mario
- Adames Marcio
- Adamov George
- Adamowski Mark
- Adams David
- Adinolfi Marco
- Adriano Cris
- Aduszkiewicz Antoni
- Aguilar Jessica
- Ahmad Zubayer
- Ahmed Jhanzeb
- Aimard Benjamin
- Akbar Faiza
- Ali-Mohammadzadeh Behnam
- Allison Kyle
- Alonso Monsalve Saul
- AlRashed Munera
- Alt Christoph
- Alton Andrew
- Alvarez Rodrigo
- Amedo Pablo
- Anderson John
- Andreopoulos Costas
- Andreotti Mirco
- Andrews Michael P.
- Andrianala Fenompanirina
- Andringa Sofia
- Anfimov Nikolay
- Ankowski Artur
- Antoniassi Marcelo
- Antonova Maria
- Antoshkin Alexander
- Antusch Stefan
- Aranda-Fernandez Alfredo
- Arellano Luciano
- Arnold Lukas
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- Aurisano Adam
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- Barker Gary J.
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- Bazo Alba José Luis
- Bazo J.L.
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- Whittington Denver
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- Wilkinson Callum
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- Wisniewski William
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- Wongjirad Taritree
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- Wood Kevin
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- Worcester Matthew
- Wresilo Karolina
- Wret Clarence
- Wu Wanwei
- Wu Wenjie
- Xiao Yiwen
- Yaeggy Barbara
- Yandel Erin
- Yang Guang
- Yang Kang
- Yang Tingjun
- Yankelevich Alejandro
- Yershov Nikolai
- Yonehara Katsuya
- Yoon Young Soo
- Young Tim
- Yu Bo
- Yu Haiwang
- Yu Hongzhao
- Yu Jae
- Yu Yiding
- Yuan Wenlong
- Zaki Rowan
- Zalesak Jaroslav
- Zambelli Laura
- Zamorano Bruno
- Zani Andrea
- Zazueta Luis
- Zeller Geralyn
- Zennamo Joseph
- Zeug Kyle
- Zhang Chao
- Zhang Shuaixiang
- Zhang Yuze
- Zhao Manhong
- Zhivun Elena
- Zhu Guanying
- Zimmerman Eric
- Zucchelli Stefano
- Zuklin Josef
- Zutshi Vishnu
- Zwaska Robert
- Publication venue
- HAL CCSD
- Publication date
- 29/06/2022
- Field of study
No full textInternational audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/c charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6% and 84.1±0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
- Author
- Abed Abud Adam
- Abi Babak
- Acciarri Roberto
- Acero Mario
- Adames Marcio
- Adamov George
- Adamowski Mark
- Adams David
- Adinolfi Marco
- Adriano Cris
- Aduszkiewicz Antoni
- Aguilar Jessica
- Ahmad Zubayer
- Ahmed Jhanzeb
- Aimard Benjamin
- Akbar Faiza
- Ali-Mohammadzadeh Behnam
- Allison Kyle
- Alonso Monsalve Saul
- Alrashed Munera
- Alt Christoph
- Alton Andrew
- Alvarez Rodrigo
- Amedo Pablo
- Anderson John
- Andreopoulos Costas
- Andreotti Mirco
- Andrews Michael P.
- Andrianala Fenompanirina
- Andringa Sofia
- Anfimov Nikolay
- Ankowski Artur
- Antoniassi Marcelo
- Antonova Maria
- Antoshkin Alexander
- Antusch Stefan
- Aranda-Fernandez Alfredo
- Arellano Luciano
- Arnold Lukas
- Arroyave Manuel
- Asaadi Jonathan
- Asquith Lily
- Aurisano Adam
- Aushev Vladimir
- Autiero Dario
- Ayala Lara Victor
- Ayala-Torres Marco Alberto
- Ayalatorres M.
- Azfar Farrukh
- Back Ashley
- Back Henning
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- Backhouse Chris
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- Balashov Nikita
- Balasubramanian Supraja
- Baldi Pierre
- Baller Bruce
- Bambah Bindu
- Barao Fernando
- Barenboim Gabriela
- Barker Gary J.
- Barkhouse Wayne
- Barnes Christopher
- Barr Giles
- Barranco Monarca Juan
- Barros Adilson
- Barros Nuno
- Barrow Joshua
- Basharina-Freshville Anastasia
- Bashyal Amit
- Basque Vincent
- Batchelor Charlie
- Battat James
- Battisti Federico
- Bay Fatih
- Bazetto Maria Cecilia
- Bazo Alba José Luis
- Bazo J.L.
- Beacom John
- Bechetoille Edouard
- Behera Biswaranjan
- Belchior Batista das Chagas Ewerton
- Bellantoni Leo
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- Beltramello Olga
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- Bento Neves Francisco
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- García- M.A.
- García-Peris Miguel
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- González D.
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- Wisniewski William
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- Wongjirad Taritree
- Wood Anthony
- Wood Kevin
- Worcester Elizabeth
- Worcester Matthew
- Wresilo Karolina
- Wret Clarence
- Wu Wanwei
- Wu Wenjie
- Xiao Yiwen
- Yaeggy Barbara
- Yandel Erin
- Yang Guang
- Yang Kang
- Yang Tingjun
- Yankelevich Alejandro
- Yershov Nikolai
- Yonehara Katsuya
- Yoon Young Soo
- Young Tim
- Yu Bo
- Yu Haiwang
- Yu Hongzhao
- Yu Jae
- Yu Yiding
- Yuan Wenlong
- Zaki Rowan
- Zalesak Jaroslav
- Zambelli Laura
- Zamorano Bruno
- Zani Andrea
- Zazueta Luis
- Zeller Geralyn
- Zennamo Joseph
- Zeug Kyle
- Zhang Chao
- Zhang Shuaixiang
- Zhang Yuze
- Zhao Manhong
- Zhivun Elena
- Zhu Guanying
- Zimmerman Eric
- Zucchelli Stefano
- Zuklin Josef
- Zutshi Vishnu
- Zwaska Robert
- Publication venue
- HAL CCSD
- Publication date
- 18/07/2022
- Field of study
No full textInternational audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/c charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6% and 84.1±0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation
In COVID-19 health messaging, loss framing increases anxiety with Little-to-No concomitant benefits: Experimental evidence from 84 countries
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- Jiang X.
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- Publication venue
- 'Springer Fachmedien Wiesbaden GmbH'
- Publication date
- 01/01/2022
- Field of study
No full textThe COVID-19 pandemic (and its aftermath) highlights a critical need to communicate health information effectively to the global public. Given that subtle differences in information framing can have meaningful effects on behavior, behavioral science research highlights a pressing question: Is it more effective to frame COVID-19 health messages in terms of potential losses (e.g., “If you do not practice these steps, you can endanger yourself and others”) or potential gains (e.g., “If you practice these steps, you can protect yourself and others”)? Collecting data in 48 languages from 15,929 participants in 84 countries, we experimentally tested the effects of message framing on COVID-19-related judgments, intentions, and feelings. Loss- (vs. gain-) framed messages increased self-reported anxiety among participants cross-nationally with little-to-no impact on policy attitudes, behavioral intentions, or information seeking relevant to pandemic risks. These results were consistent across 84 countries, three variations of the message framing wording, and 560 data processing and analytic choices. Thus, results provide an empirical answer to a global communication question and highlight the emotional toll of loss-framed messages. Critically, this work demonstrates the importance of considering unintended affective consequences when evaluating nudge-style interventions
