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408 results on '"Tompkins, Daniel"'

1. Laugh Now Cry Later: Controlling Time-Varying Emotional States of Flow-Matching-Based Zero-Shot Text-to-Speech

Author

Wu, Haibin, Wang, Xiaofei, Eskimez, Sefik Emre, Thakker, Manthan, Tompkins, Daniel, Tsai, Chung-Hsien, Li, Canrun, Xiao, Zhen, Zhao, Sheng, Li, Jinyu, and Kanda, Naoyuki

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Signal Processing
Abstract

People change their tones of voice, often accompanied by nonverbal vocalizations (NVs) such as laughter and cries, to convey rich emotions. However, most text-to-speech (TTS) systems lack the capability to generate speech with rich emotions, including NVs. This paper introduces EmoCtrl-TTS, an emotion-controllable zero-shot TTS that can generate highly emotional speech with NVs for any speaker. EmoCtrl-TTS leverages arousal and valence values, as well as laughter embeddings, to condition the flow-matching-based zero-shot TTS. To achieve high-quality emotional speech generation, EmoCtrl-TTS is trained using more than 27,000 hours of expressive data curated based on pseudo-labeling. Comprehensive evaluations demonstrate that EmoCtrl-TTS excels in mimicking the emotions of audio prompts in speech-to-speech translation scenarios. We also show that EmoCtrl-TTS can capture emotion changes, express strong emotions, and generate various NVs in zero-shot TTS. See https://aka.ms/emoctrl-tts for demo samples., Comment: Accepted by SLT2024. See https://aka.ms/emoctrl-tts for demo samples

Published
2024

5. BEATs: Audio Pre-Training with Acoustic Tokenizers

Author

Chen, Sanyuan, Wu, Yu, Wang, Chengyi, Liu, Shujie, Tompkins, Daniel, Chen, Zhuo, and Wei, Furu

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Sound
Abstract

The massive growth of self-supervised learning (SSL) has been witnessed in language, vision, speech, and audio domains over the past few years. While discrete label prediction is widely adopted for other modalities, the state-of-the-art audio SSL models still employ reconstruction loss for pre-training. Compared with reconstruction loss, semantic-rich discrete label prediction encourages the SSL model to abstract the high-level audio semantics and discard the redundant details as in human perception. However, a semantic-rich acoustic tokenizer for general audio pre-training is usually not straightforward to obtain, due to the continuous property of audio and unavailable phoneme sequences like speech. To tackle this challenge, we propose BEATs, an iterative audio pre-training framework to learn Bidirectional Encoder representation from Audio Transformers, where an acoustic tokenizer and an audio SSL model are optimized by iterations. In the first iteration, we use random projection as the acoustic tokenizer to train an audio SSL model in a mask and label prediction manner. Then, we train an acoustic tokenizer for the next iteration by distilling the semantic knowledge from the pre-trained or fine-tuned audio SSL model. The iteration is repeated with the hope of mutual promotion of the acoustic tokenizer and audio SSL model. The experimental results demonstrate our acoustic tokenizers can generate discrete labels with rich audio semantics and our audio SSL models achieve state-of-the-art results across various audio classification benchmarks, even outperforming previous models that use more training data and model parameters significantly. Specifically, we set a new state-of-the-art mAP 50.6% on AudioSet-2M for audio-only models without using any external data, and 98.1% accuracy on ESC-50. The code and pre-trained models are available at https://aka.ms/beats.

Published
2022

6. Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study

Author

Tompkins, Daniel, Kumar, Kshitiz, and Wu, Jian

Subjects
Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

An Xception model reaches state-of-the-art (SOTA) accuracy on the ESC-50 dataset for audio event detection through knowledge transfer from ImageNet weights, pretraining on AudioSet, and an on-the-fly data augmentation pipeline. This paper presents an ablation study that analyzes which components contribute to the boost in performance and training time. A smaller Xception model is also presented which nears SOTA performance with almost a third of the parameters.

Published
2022

7. COVID-19 Detection Using Recorded Coughs in the 2021 DiCOVA Challenge

Author

Elizalde, Benjamin and Tompkins, Daniel

Subjects
Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

COVID-19 has resulted in over 100 million infections and caused worldwide lock downs due to its high transmission rate and limited testing options. Current diagnostic tests can be expensive, limited in availability, time-intensive and require risky in-person appointments. It has been established that symptomatic COVID-19 seriously impairs normal functioning of the respiratory system, thus affecting the coughing acoustics. The 2021 DiCOVA Challenge @ INTERSPEECH was designed to find scientific and engineering insights to the question by enabling participants to analyze an acoustic dataset gathered from COVID-19 positive and non-COVID-19 individuals. In this report we describe our participation in the Challenge (Track 1). We achieved 82.37% AUC ROC on the blind test outperforming the Challenge's baseline of 69.85%.

Published
2021

9. Multi-label Sound Event Retrieval Using a Deep Learning-based Siamese Structure with a Pairwise Presence Matrix

Author

Fan, Jianyu, Nichols, Eric, Tompkins, Daniel, Mendez, Ana Elisa Mendez, Elizalde, Benjamin, and Pasquier, Philippe

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Information Retrieval, Computer Science - Machine Learning, Computer Science - Sound
Abstract

Realistic recordings of soundscapes often have multiple sound events co-occurring, such as car horns, engine and human voices. Sound event retrieval is a type of content-based search aiming at finding audio samples, similar to an audio query based on their acoustic or semantic content. State of the art sound event retrieval models have focused on single-label audio recordings, with only one sound event occurring, rather than on multi-label audio recordings (i.e., multiple sound events occur in one recording). To address this latter problem, we propose different Deep Learning architectures with a Siamese-structure and a Pairwise Presence Matrix. The networks are trained and evaluated using the SONYC-UST dataset containing both single- and multi-label soundscape recordings. The performance results show the effectiveness of our proposed model., Comment: Paper accepted for 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)

Published
2020

10. SARS-CoV-2 detection and genomic sequencing from hospital surface samples collected at UC Davis

Author

Coil, David, Albertson, Timothy, Banerjee, Shefali, Brennan, Greg, Campbell, AJ, Cohen, Stuart, Dandekar, Satya, Díaz-Muñoz, Samuel, Eisen, Jonathan, Goldstein, Tracey, Jose, Ivy, Juarez, Maya, Robinson, Brandt, Rothenburg, Stefan, Sandrock, Christian, Stoian, Ana, Tompkins, Daniel, Tremeau-Bravard, Alexandre, and Haczku, Angela

Subjects
Prevention, Genetics, Emerging Infectious Diseases, Infectious Diseases, Biotechnology, 2.2 Factors relating to the physical environment, Infection
Abstract

Rationale There is little doubt that aerosols play a major role in the transmission of SARS-CoV-2. The significance of the presence and infectivity of this virus on environmental surfaces, especially in a hospital setting, remains less clear. Objectives We aimed to analyze surface swabs for SARS-CoV-2 RNA and infectivity, and to determine their suitability for sequence analysis. Methods Samples were collected during two waves of COVID-19 at the University of California, Davis Medical Center, in COVID-19 patient serving and staff congregation areas. qRT-PCR positive samples were investigated in Vero cell cultures for cytopathic effects and phylogenetically assessed by whole genome sequencing. Measurements and Main Results Improved cleaning and patient management practices between April and August 2020 were associated with a substantial reduction of SARS-CoV-2 qRT-PCR positivity (from 11% to 2%) in hospital surface samples. Even though we recovered near-complete genome sequences in some, none of the positive samples (11 of 224 total) caused cytopathic effects in cultured cells suggesting this nucleic acid was either not associated with intact virions, or they were present in insufficient numbers for infectivity. Phylogenetic analysis suggested that the SARS-CoV-2 genomes of the positive samples were derived from hospitalized patients. Genomic sequences isolated from qRT-PCR negative samples indicate a superior sensitivity of viral detection by sequencing. Conclusions This study confirms the low likelihood that SARS-CoV-2 contamination on hospital surfaces contains infectious virus, disputing the importance of fomites in COVID-19 transmission. Ours is the first report on recovering near-complete SARS-CoV-2 genome sequences directly from environmental surface swabs.

Published
2021

11. SARS-CoV-2 detection and genomic sequencing from hospital surface samples collected at UC Davis

Author

Coil, David A, Albertson, Timothy, Banerjee, Shefali, Brennan, Greg, Campbell, AJ, Cohen, Stuart H, Dandekar, Satya, Díaz-Muñoz, Samuel L, Eisen, Jonathan A, Goldstein, Tracey, Jose, Ivy R, Juarez, Maya, Robinson, Brandt A, Rothenburg, Stefan, Sandrock, Christian, Stoian, Ana MM, Tompkins, Daniel G, Tremeau-Bravard, Alexandre, and Haczku, Angela

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Prevention, Infectious Diseases, Emerging Infectious Diseases, Vaccine Related, Biotechnology, 2.2 Factors relating to the physical environment, Aetiology, Infection, Good Health and Well Being, Animals, COVID-19, Chlorocebus aethiops, Genome, Viral, Hospitals, Teaching, Humans, Phylogeny, SARS-CoV-2, Sequence Analysis, RNA, Vero Cells, General Science & Technology
Abstract

RationaleThere is little doubt that aerosols play a major role in the transmission of SARS-CoV-2. The significance of the presence and infectivity of this virus on environmental surfaces, especially in a hospital setting, remains less clear.ObjectivesWe aimed to analyze surface swabs for SARS-CoV-2 RNA and infectivity, and to determine their suitability for sequence analysis.MethodsSamples were collected during two waves of COVID-19 at the University of California, Davis Medical Center, in COVID-19 patient serving and staff congregation areas. qRT-PCR positive samples were investigated in Vero cell cultures for cytopathic effects and phylogenetically assessed by whole genome sequencing.Measurements and main resultsImproved cleaning and patient management practices between April and August 2020 were associated with a substantial reduction of SARS-CoV-2 qRT-PCR positivity (from 11% to 2%) in hospital surface samples. Even though we recovered near-complete genome sequences in some, none of the positive samples (11 of 224 total) caused cytopathic effects in cultured cells suggesting this nucleic acid was either not associated with intact virions, or they were present in insufficient numbers for infectivity. Phylogenetic analysis suggested that the SARS-CoV-2 genomes of the positive samples were derived from hospitalized patients. Genomic sequences isolated from qRT-PCR negative samples indicate a superior sensitivity of viral detection by sequencing.ConclusionsThis study confirms the low likelihood that SARS-CoV-2 contamination on hospital surfaces contains infectious virus, disputing the importance of fomites in COVID-19 transmission. Ours is the first report on recovering near-complete SARS-CoV-2 genome sequences directly from environmental surface swabs.

Published
2021

12. Direct and indirect impacts of synthetic biology on biodiversity conservation

Author

Macfarlane, Nicholas B.W., Adams, Jonathan, Bennett, Elizabeth L., Brooks, Thomas M., Delborne, Jason A., Eggermont, Hilde, Endy, Drew, Esvelt, Kevin M., Kolodziejczyk, Bartlomiej, Kuiken, Todd, Oliva, Maria Julia, Peña Moreno, Sonia, Slobodian, Lydia, Smith, Risa B., Thizy, Delphine, Tompkins, Daniel M., Wei, Wei, and Redford, Kent H.

Published
2022
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13. The Research Strategy for a ‘Predator Free’ New Zealand

Author

Tompkins, Daniel M.

Subjects
biodiversity, eradication, introduced species, New Zealand, possums, Predator Free, predators, rats, stoats
Abstract

The goal to make New Zealand ‘Predator Free,’ articulated as the eradication of rats, stoats, and possums by 2050, was announced as a New Zealand government initiative in 2016 and became a founding initiative for the International Union for Conservation of Nature (IUCN) Honolulu Challenge on Invasive Species. A new government owned company, Predator Free 2050 Limited (PF2050 Limited), was formed to coordinate partnership approaches to large landscape projects and breakthrough science. Consultation of both the general public and conservation stakeholders in New Zealand has given strong confidence of majority support for the Predator Free 2050 initiative, and both its target species focus (rats, stoats, and possums) and goal (landscape-scale eradication for the outcome of native biodiversity protection and restoration). A logical and robust process of research strategy development to help realise the Predator Free goals has been ongoing since 2012, when seven priority strategy and research areas were identified at a ‘Pest Summit’ workshop of researchers and stakeholders convened by the New Zealand Department of Conservation. The workshop also highlighted that past improvements in the ability to manage small mammalian pests have been driven by multiple complementary and often synergistic strands of research. The critical learning from such back-casting is that if the Predator Free 2050 goals are to be achieved, a similarly diverse research portfolio is essential moving forwards to drive the paradigm shift from current mainland predator suppression approaches to mainland predator eradication. This learning was implemented in construction first of a research project on small mammal management in the New Zealand’s Biological Heritage National Science Challenge, and, more recently, of PF2050 Limited’s research strategy. With the remit of focusing research efforts to achieve a breakthrough science solution capable of eradicating at least one small mammal predator by 2025, the strategy has four programmes (‘Environment and Society,’ ‘Best Use of Existing Approaches,’ ‘Exploring New Approaches,’ and ‘Computer Modelling’) designed to complement existing efforts to give the whole portfolio of relevant research the best chance of achieving the 2025 goal.

Published
2018

14. Home range overlaps of the brushtail possum (Trichosurus vulpecula): implications for disease transmission

Author

Universidad de Sevilla. Departamento de Biología Vegetal y Ecología, Royal Society Te Apárangi del Fondo Marsden. New Zealand, Tobajas, Jorge, Richardson, Kyle S., French, Nigel P., Buddle, Bryce, Jewell, Christopher, Tompkins, Daniel M., Rouco Zufiaurre, Carlos, Universidad de Sevilla. Departamento de Biología Vegetal y Ecología, Royal Society Te Apárangi del Fondo Marsden. New Zealand, Tobajas, Jorge, Richardson, Kyle S., French, Nigel P., Buddle, Bryce, Jewell, Christopher, Tompkins, Daniel M., and Rouco Zufiaurre, Carlos

Abstract

Understanding how bovine tuberculosis (TB) is maintained in wildlife reservoirs is critical for the management of this disease impacting cattle in many countries. For the primary wildlife reservoir of the disease in New Zealand, the brushtail possum (Trichosurus vulpecula), transmission of this contagious bacterial disease among possums is often assumed to be linked to home range overlap. Identifying drivers of possum home range, and home range overlap between individuals, is thus important for informing wildlife reservoir TB management in New Zealand. We monitored four sub-populations of free-living possums in New Zealand native forests during 10 consecutive months using live trapping, to give the first direct insight into how the frequency and area of overlaps alters with density, sex and age. A total of 832 individuals were captured (average 9.3, range from 1 to 40 captures per animal with a median value of 7) and 35,820 home range overlaps were recorded. Both the number and area of overlaps were significantly associated with age class, with 66.6% of overlaps occurring between adults, 30% between adults and juveniles, and only 3.4% between juveniles. Overall, adult males showed significantly higher numbers of overlaps than expected, while adult and juvenile females showed significantly lower numbers of overlaps than expected and no differences were observed in juvenile males. In addition, males exhibited more and larger overlaps than females. The number and size of overlaps per individual decreased with increasing local population density. Understanding shared areas of activity among individuals can provide insights into the interactions occurring and potential pathways for diseases transmitted by contact such as TB. These results can inform to develop effective strategies for the control of diseases carried and dispersed by possums.

Published
2024

15. A Cluster Analysis for Mode Identification in Early Music Genres

Author

Tompkins, Daniel C., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Agustín-Aquino, Octavio A., editor, Lluis-Puebla, Emilio, editor, and Montiel, Mariana, editor

Published
2017
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22. Evolutionary ecology of bird-parasite associations

Author

Tompkins, Daniel Michael

Subjects
577, Birds, Parasites, Evolution
Abstract

This thesis investigates the ecological determinants of chewing louse (Insecta: Phthiraptera) host-specificity on four species of Malaysian swiftlets (Aves: Apodidae). Influences of host coloniality on louse ecology were also demonstrated, illustrating the dependence which these permanent ectoparasites have on their hosts. Louse collections were made to look for incidences of host-specific lice occurring on the "wrong" host ("straggling"). Straggling was observed, implying that lice disperse among host species. Thus, opportunity for louse dispersal (or lack thereof) does not govern the host-specificity of chewing lice on swiftlets. Experimental transfers of lice between hosts were conducted. Louse survival was reduced on foreign host species. This implies adaptation to specific host characters, suggesting that specialisation governs chewing louse host-specificity on swiftlets. There was no evidence for reciprocal adaptation of swiftlets to their normal louse species. Lice had no impact on the fitness of either swiftlets or the related common swift. Furthermore, neither swiftlet nor swift lice were transmitting pathogenic endoparasites. This implies that chewing lice and Malaysian swiftlets have not "coevolved". Survival of transferred lice was determined by the relatedness of donor and recipient hosts. Closer related swiftlet species are more similar in body size and feather dimensions. When the feather dimensions of the microhabitat distributions of the same louse species on different hosts were compared the results suggested that lice keep the dimensions of barb and barbule diameter, at which they occur, "constant" through microhabitat shifts. This suggests that feather dimensions are the host characters which determine the survival (and host-specificity) of chewing lice on birds. The ability of chewing lice to survive on hosts with similar feather morphology implies that "host-switching", between distantly related hosts with similar morphological characters (due to parallel or convergent host evolution), may have been an important factor in the evolution of bird-louse associations.

Published
1996

24. The ATLAS Experiment at the CERN Large Hadron Collider: A Description of the Detector Configuration for Run 3

Author

Aad, Georges, Abbott, Braden Keim, Abbott, Dale, Abdallah, Jalal, Abeling, Kira, Abidi, Haider, Aboulhorma, Asmaa, Abovyan, Sergey, Abramowicz, Halina, Abreu, Henso, Abulaiti, Yiming, Abusleme, Angel, Acharya, Bobby Samir, Adam Bourdarios, Claire, Adamczyk, Leszek, Adamek, Lukas, Addepalli, Sagar, Adelman, Jahred, Adersberger, Michael, Adiguzel, Aytul, Adorni Braccesi Chiassi, Sofia, Adye, Tim, Affolder, Tony, Afik, Yoav, Agaras, Merve Nazlim, Agarwala, Jinky, Aggarwal, Anamika, Agheorghiesei, Catalin, Aguilar Saavedra, Juan Antonio, Ahmad, Ammara, Ahmadov, Faig, Ahmed, Waleed Syed, Ahuja, Sudha, Ai, Xiaocong, Aielli, Giulio, Ait Tamlihat, Malak, Aitbenchikh, Brahim, Aizenberg, Iakov, Akbiyik, Melike, Akesson, Torsten, Akhperjanyan, Gevorg, Akimov, Andrei, Al Khoury, Konie, Alberghi, Gian Luigi, Albert, Justin, Albicocco, Pietro, Alderweireldt, Sara, Aleksa, Martin, Alexandrov, Igor, Alexa, Calin, Alexopoulos, Theodoros, Alfonsi, Alice, Alfonsi, Fabrizio, Alhroob, Muhammad, Ali, Babar, Ali, Shahzad, Aliev, Malik, Alimonti, Gianluca, Alkakhi, Wael, Allaire, Corentin, Allard, Jérôme, Allbrooke, Benedict, Allendes Flores, Cristian Andres, Allport, Philip Patrick, Aloisio, Alberto, Alonso, Francisco, Alpigiani, Cristiano, Alvarez Estevez, Manuel, Alvarez Gonzalez, Barbara, Alviggi, Mariagrazia, Aly, Mohamed, Do Amaral Coutinho, Yara, Ambler, Alessandro, Amelung, Christoph, Amerl, Maximilian, Ames, Christoph, Amidei, Dante, Amor dos Santos, Susana Patricia, Amos, Kieran Robert, Ananiev, Viktor, Anastopoulos, Christos, Andari, Nansi, Andeen, Timothy Robert, Anders, John Kenneth, Andrean, Stefio Yosse, Andreazza, Attilio, Anelli, Christopher Ryan, Angelidakis, Stylianos, Angerami, Aaron, Anisenkov, Alexey, Annovi, Alberto, Antel, Claire, Anthony, Matthew Thomas, Antipov, Egor, Antonelli, Mario, Antonescu, Mihai, Antrim, Daniel Joseph, Anulli, Fabio, Aoki, Masato, Aoki, Takumi, Aparisi Pozo, Javier Alberto, Aparo, Marco, Aperio Bella, Ludovica, Appelt, Christian, Aranzabal Barrio, Nordin, Araujo Ferraz, Victor, Arcangeletti, Chiara, Arce, Ayana Tamu, Arena, Eloisa, Arguin, Jean-Francois, Argyris, Anastasios, Argyropoulos, Spyros, Arling, Jan-Hendrik, Armbruster, Aaron James, Armijo, Charles Edward, Arnaez, Olivier, Arnold, Hannah, Arrubarrena Tame, Zulit Paola, Artoni, Giacomo, Asada, Haruka, Asai, Kanae, Asai, Shoji, Asbah, Nedaa Alexandra, Assahsah, Jihad, Assamagan, Ketevi Adikle, Astalos, Robert, Atkin, Ryan Justin, Atkinson, Markus Julian, Atlay, Naim Bora, Atmani, Hicham, Atmasiddha, Prachi, Aubernon, Erwann, Augsten, Kamil, Aune, Aune, Auricchio, Silvia, Auriol, Adrien, Aust, Florian, Austrup, Volker Andreas, Avner, Gal, Avolio, Giuseppe, Avoni, Giulio, Axen, David, Axiotis, Konstantinos, Aydiner, Pelin, Ayoub, Mohamad Kassem, Azaryan, Tatiana, Azuelos, Georges, Babal, Dominik, Bachacou, Henri, Bachas, Konstantinos, Bachiu, Alexander, Backman, Karl Filip, Badea, Anthony, Bagnaia, Paolo, Bahmani, Marzieh, Bailey, Adam, Bailey, Virginia, Baines, John, Bakalis, Christos, Baker, Keith, Bakker, Pepijn Johannes, Bakos, Evelin, Bakshi Gupta, Debottam, Balaji, Shyam, Balasubramanian, Rahul, Balbi, Gabriele, Baldin, Evgenii, Balek, Petr, Ball, Robert, Ballabene, Eric, Ballansat, Jacques, Balli, Fabrice, Baltes, Lisa Marie, Balunas, William Keaton, Balz, Johannes, Ban, Jaroslav, Banas, Elzbieta, Bandieramonte, Marilena, Bandyopadhyay, Anjishnu, Bansal, Shubham, Barak, Liron, Barberio, Elisabetta, Barberis, Dario, Barbero, Marlon Benoit, Barbier, Gerard, Barbour, Gregory, Bardo, Laetitia, Barends, Kevin Nicholas, Barfusser, Anja, Barillari, Teresa, Barisits, Martin, Barklow, Tim, Barnett, Michael, Baron, Petr, Baron, Diego, Baroncelli, Toni, Barone, Gaetano, Barr, Alan, Barranco Navarro, Laura, Barreiro Alonso, Fernando, Barreiro Guimaraes da Costa, Joao, Barron, Uriel, Barros, Maura, Barsov, Sergey, Bartels, Falk, Bartoldus, Rainer, Barton, Adam Edward, Bartos, Pavol, Basalaev, Artem, Basan, Alexander, Baselga Bacardit, Marta, Bashta, Inna, Bassalat, Ahmed, Basso, Matthew Joseph, Basson, Candice Ruth, Bates, Richard, Batlamous, Souad, Batley, Richard, Batool, Binish, Battaglia, Marco, Battulga, Daariimaa, Bauce, Matteo, Bauer, Patrick, Bayirli, Arif, Beacham, James, Beau, Tristan, Belhesan, Fredy, Beltramelli, Beltramelli, Beauchamp, Blake Christopher, Beauchemin, Pierre-Hugues, Beccherle, Roberto, Becherer, Fabian, Bechtle, Philip, Beck, Hans Peter, Becker, Kathrin, Beddall, Andrew, Bednyakov, Vadim, Bee, Chris, Beemster, Lars, Beermann, Thomas, Begalli, Marcia, Begel, Michael, Behera, Arabinda, Behr, Janna Katharina, Beirao da Cruz E Silva, Cristovao, Beirer, Joshua Falco, Beisiegel, Florian, Belanger-Champagne, Camille, Belfkir, Mohamed, Bella, Gideon, Bellachia, Fatih, Bellagamba, Lorenzo, Bellerive, Alain, Bellos, Panagiotis, Beloborodov, Konstantin, Belotskiy, Konstantin, Belyaev, Nikita, Raviv Moshe, Meny, Benchekroun, Driss, Bendebba, Fatima, Bendotti, Jerome, Benhammou, Yan, Benjamin, Doug, Benoit, Mathieu, Benoit, Theophile Arthur, Bensinger, Jim, Bentvelsen, Stan, Beresford, Lydia Audrey, Beretta, Matteo Mario, Bergeaas Kuutmann, Elin, Berger, Nicolas, Bergmann, Benedikt Ludwig, Beringer, Juerg, Berlendis, Simon, Bernardi, Gregorio, Bernius, Catrin, Bernlochner, Florian Urs, Bernon, Florent, Berry, Tracey, Berta, Peter, Berthold, Anne-Sophie, Bertram, Iain, Bervas, Hervé, Besin, Dominique, Bessudo, Ilan, Bethke, Siegfried, Betti, Alessandra, Bevan, Adrian, Bey, Bey, Bhamjee, Muaaz, Bhatta, Somadutta, Bhattacharya, Deb Sankar, Bhattarai, Prajita, Bhopatkar, Vallary Shashikant, Bi, Ran, Bianchi, Riccardo Maria, Bianga, Yves, Biaut, Mathieu, Biebel, Otmar, Bielski, Rafal, Biglietti, Michela, Billoud, Thomas, Bindi, Marcello, Bingul, Ahmet, Bini, Cesare, Biondini, Alessandro, Bira, Calin, Birch-Sykes, Callum Jacob, Bird, Gareth Adam, Birman, Mattias, Birney, Paul, Biros, Marek, Bisanz, Tobias, Bisceglie, Emanuele, Biswas, Diptaparna, Bita, Daniel, Bitadze, Alexander, Bjoerke, Kristian, Blaszczyk, Tomasz Piotr, Bloch, Ingo, Blocker, Craig, Blue, Andrew James, Blumenschein, Ulla, Blumenthal, Julian, Bobbink, Gerjan, Bobrovnikov, Viktor, Boehler, Michael, Bohm, Burkhard, Bogavac, Danijela, Bogdanchikov, Alexander, Bohm, Christian, Boisvert, Veronique, Bokan, Petar, Bold, Tomasz, Boline, Daniel Dooley, Bomben, Marco, Bona, Marcella, Bonini, Filiberto, Boonekamp, Maarten, Booth, Callum Dale, Borbely, Albert Gyorgy, Borecka-Bielska, Hanna Maria, Borgna, Lucas Santiago, Borissov, Guennadi, Bortfeldt, Jona, Bortoletto, Daniela, Bortolin, Claudio, Boscherini, Davide, Fernandez-Bosman, Martine, Bossio, Jonathan, Botte, James, Bouaouda, Khalil, Bouaziz, Saïd, Bouchhar, Naseem, Boudreau, Joseph, Bouedo, Thierry, Bouhova-Thacker, Eva, Boumediene, Djamel Eddine, Bouquet, Romain, Boveia, Antonio, Boyd, Jamie, Boye, Diallo, Boyko, Igor, Braam, Nick, Bracinik, Juraj, Braga Lisboa, Pedro Henrique, Brahimi, Nihal, Brandt, Gerhard Immanuel, Brandt, Oleg, Braren, Frued Erik, Brau, Benjamin Paul, Brau, Jim, Brawn, Ian, Brendlinger, Kurt, Schimmel Brener, Roy, Brenner, Lydia, Brenner, Richard, Bressler, Shikma, Breugnon, Patrick, Britton, David, Britzger, Daniel Andreas, Brock, Ian, Brooijmans, Gustaaf, Brooks, William King, Brost, Elizabeth, Brown, Leesa Marea, Bruce, Laura Elaine, Bruckler, Tim Lukas, Bruckman de Renstrom, Pawel, Bruers, Ben, Bruncko, Dusan, Bruni, Alessia, Bruni, Graziano, Brunner, Kathrin Michaela, Bruschi, Marco, Bruscino, Nello, Buanes, Trygve, Buat, Quentin, Buchholz, Peter, Buckley, Andy, Buda, Stelian, Budagov, Ioulian, Bugge, Magnar Kopangen, Bulekov, Oleg, Bullard, Brendon, Burdin, Sergey, Burgard, Carsten, Burger, Angela Maria, Burghgrave, Blake Oliver, Burr, Jon, Burton, Charles, Burzynski, Jackson Carl, Busch, Elena Laura, Buescher, Volker, Bussey, Peter John, Butler, John Mark, Buttar, Craig Macleod, Butterworth, Jonathan, Buttinger, Will, Buxo Vazquez, Carlos Josue, Buzykaev, Alexey, Cabras, Grazia, Cabrera Urban, Susana, Cadoux, Frank Raphael, Caforio, Davide, Cai, Huacheng, Cai, Yuchen, Cairo, Valentina, Cakir, Orhan, Calabro, Domenico, Calace, Noemi, Calafiura, Paolo, Calderini, Giovanni, Calfayan, Philippe, Callea, Giuseppe, Caloba, Luiz, Calvet, David, Calvet, Samuel, Calvet, Thomas Philippe, Calvetti, Milene, Camacho Toro, Reina Coromoto, Camarda, Stefano, Camarero Munoz, Daniel, Camarri, Paolo, Camerlingo, Maria Teresa, Cameron, David, Camincher, Clement, Campanelli, Mario, Camplani, Alessandra, Canale, Vincenzo, Canesse, Auriane, Bret Cano, Marc, Cantero Garcia, Josu, Cao, Nina Yuan Yuan, Cao, Yumeng, Cap, Sebastien, Capitolo, Emilio, Capocasa, Francesca, Capradossi, Giulio, Capua, Marcella, Cara, Gael Benjamin, Carbone, Antonio, Cardarelli, Roberto, Cardenas, Juan Carlos, Cardillo, Fabio, Cardot, Charles Andre, Carli, Tancredi, Carlino, Giampaolo, Carlotta, Mathilde Doriane, Carlotto, Juan Ignacio, Carlson, Ben, Carlson, Evan Michael, Carlson, Katelyn Joyce, Carminati, Leonardo, Carnesale, Maria, 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Damir Fabrice, Rave, Stefan, Ravina, Baptiste, Ravinovich, Ilia, Raymond, Michel, Read, Alexander Lincoln, Readioff, Nathan Peter, Rebuzzi, Daniela, Redlinger, George, Reeves, Kendall, Reidelsturz, Joshua Aaron, Reikher, David, Rej, Amartya, Rembser, Christoph, Renardi, Alessia, Renda, Michele, Rendel, Marian Benedikt, Renklioglu, Ahmet, Renner, Frederic, Rennie, Adam, Resconi, Silvia, Ressegotti, Martina, Resseguie, Elodie Deborah, Rettie, Sebastien, Reyes Rivera, Jose Gabriel, Reynolds, Bryan, Reynolds, Elliot, Rezaei Estabragh, Mohsen, Rezanova, Olga, Reznicek, Pavel, Riallot, Marc, Ribaric, Neza, Ricci, Ester, Richert, William, Richter, Robert, Richter, Stefan, Richter-Was, Elzbieta, Ridel, Melissa, Ridouani, Selaiman, Rieck, Patrick, Riedler, Petra, Riegel, Christian, Rijssenbeek, Michael, Rimoldi, Adele, Rimoldi, Marco, Rinaldi, Lorenzo, Rinn, Timothy Thomas, Rinnagel, Maximilian Paul, Ripellino, Giulia, Riu, Imma, Rivadeneira Bracho, Pablo Andres, Rivera Vergara, Juan Cristobal, Rizatdinova, Flera, Rizvi, Eram Syed, Rizzi, Chiara, Roberts, Bryn Arthur, Roberts, Ryan, Robertson, Steven, Robichaud-Veronneau, Andree, Robin, Matthieu, Robinson, Dave, Robles Gajardo, Carolina Michel, Robles Manzano, Marisol, Robson, Aidan, Rocchi, Alessandro, Roda, Chiara, Rodriguez Bosca, Sergi, Rodriguez Garcia, Yohany, Rodriguez Rodriguez, Arturo, Rodriguez Vera, Ana Maria, Roe, Shaun, Roemer, Jonas Till, Roepe-Gier, Amber, Roggel, Jens, Rohne, Ole, Roich, Alexander, Rojas Caballero, Rimsky Alejandro, Roland, Benoit, Roland, Christophe Pol A, Roloff, Jennifer, Romaniouk, Anatoli, Romano, Emanuele, Romano, Marino, Romero, Anabel, Rompotis, Nikolaos, Roos, Lydia, Rosati, Stefano, Roscilli, Lorenzo, Rose-Dulcina, Louis, Rößl, Stefan, Rosser, Benjamin John, Rossi, Cecilia, Rossi, Eleonora, Rossi, Elvira, Rossi, Fabrizio, Rossi, Leonardo, Rossini, Lorenzo, Rosten, Rachel Christine, Rotaru, Marina, Rottler, Benjamin, Rougier, Charline, Rousseau, David, Rousso, David, Rovani, Alessandro, Rovelli, Giulia, Roy, Avik, Rozanov, Alexandre, Rozen, Yoram, Ruan, Ruanxf, Rubio Jimenez, Adrian, Ruby, Adam James, Ruelas Rivera, Victor Hugo, Ruggeri, Tristan Andrew, Ruggieri, Alessandro, Ruggieri, Daniele, Ruehr, Frederik, Ruiz Martinez, Arantxa, Rummler, Andre, Rurikova, Zuzana, Rusakovich, Nikolai, Ruscino, Ettore, Russell, Heather, Rutherfoord, John P, Růžička, Ondřej, Rybacki, Katherine Amy, Rybar, Martin, Rye, Eli Baverfjord, Ryjov, Vladimir, Ryzhov, Andrey, Sabater Iglesias, Jorge Andres, Sabatini, Fabrizio, Sabatini, Paolo, Sabetta, Luigi, Sadrozinski, Hartmut, Safai Tehrani, Francesco, Safarzadeh Samani, Batool, Safdari, Murtaza, Saha, Shreya, Sahinsoy, Merve, Saimpert, Matthias, Saito, Masahiko, Saito, Tomoyuki, Sajid, Muhammad, Salamani, Dalila, Salamanna, Giuseppe, Salnikov, Andy, Salomon, Franck, Salt, Jose, Salvador Salas, Adrian, Salvatore, Daniela, Salvatore, Fabrizio, Salzburger, Andreas, Samarati, Jerome, Sammel, Dirk, Sampsonidis, Dimos, Sampsonidou, Despoina, Sanchez Martinez, Francisco Javier, Sanchez Pineda, Arturos, Sanchez Sebastian, Victoria, Sandaker, Heidi, Sander, Christian, Sandesara, Jay Ajitbhai, Sandhoff, Marisa, Sandoval Usme, Carlos, Sankey, David, Sanny, Bernd, Sano, Takane, Sansoni, Andrea, Santi, Lorenzo, Santoni, Claudio, Santos, Helena, Santpur, Sai Neha, Santra, Arka, Saoucha, Kamal, Mendes Saraiva, Joao Gentil, Sardain, Jad Mathieu, Sasaki, Osamu, Sato, Koji, Satterthwaite, Toby, Satzkowski, Reinhard, Sauer, Christof, Sauerburger, Frank, Sauvan, Emmanuel, Sauve, Ryan Matthew, Savard, Pierre, Sawada, Ryu, Sawyer, Craig, Sawyer, Lee, Sayago Galvan, Ivan, Sbarra, Carla, Sbrizzi, Antonio, Scagliotti, Claudio, Scanlon, Timothy Paul, Schaarschmidt, Jana, Schacht, Peter, Schaefer, Douglas Michael, Schaefer, Uli, Schaffer, R.D, Schaile, Dorothee, Schaile, Otto, Schamberger, Robert Dean, Schanet, Eric, Scharf, Christian, Schefer, Meinrad Moritz, Chtcheguelski, Valery, Scheirich, Daniel, Schenck, Ferdinand, Scherino, Lorenzo, Schernau, Michael, Scheulen, Chris, Schiavi, Carlo, Schillaci, Zachary Michael, Schioppa, Enrico, Schioppa, Marco, Schlag, Bastian, Schleicher, Katharina, Schlenker, Stefan, Schmeing, Jonas, Schmidt, Mustafa Andre, Schmieden, Kristof, Schmitt, Christian, Schmitt, Stefan, Schnarr, Rodney Micheal, Schoeffel, Laurent Olivier, Schoening, Andre, Scholer, Patrick, Schopf, Elisabeth, Schorlemmer, Andre Lukas, Schott, Matthias, Schovancova, Jaroslava, Schramm, Steven, Schroeder, Frederic, Schultz-Coulon, Hans-Christian, Schumacher, Jorn, Schumacher, Markus, Schumm, Bruce Andrew, Schune, Philippe, Schwartz, Hava Rhian, Schwartzman, Ariel Gustavo, Schwarz, Thomas Andrew, Schwemling, Philippe, Schwienhorst, Reinhard, Sciandra, Andrea, Sciolla, Gabriella, Sciuccati, Augusto, Scott, Garrett Joseph, Scuri, Fabrizio, Scutti, Federico, Sebastiani, Cristiano, Secord, Chris, Sedlaczek, Kevin, Seema, Pienpen, Seidel, Sally, Seiden, Abraham, Seidlitz, Blair Daniel, Seitz, Claudia, Seixas, Jose, Sekhniaidze, Givi, Sekula, Stephen Jacob, Selem, Luka, Seletskiy, Alexandre, Semprini Cesari, Nicola, Sen, Sourav, Sengupta, Debajyoti, Senthilkumar, Varsha, Serin, Laurent, Serkin, Leonid, Serochkin, Mikhail, Sessa, Marco, Severini, Horst, Sexton, Kenneth Alan, Sforza, Federico, Sfyrla, Anna, Shabalina, Elizaveta, Shafto, Gene, Shaheen, Rabia, Shahinian, Jeff, Shaked, Ohad, Shaked Renous, Dan, Shan, Lianyou, Shapiro, Marjorie, Sharma, Abhishek, Sharma, Punit, Sharma, Surabhi, Shatalov, Sppavel, Shaw, Kate, Shaw, Savanna, Shen, Qiuping, Sheppard, Damian Joseph, Sherpa, Pasang Nuri, Sherwood, Peter, Shi, Liaoshan, Shimmin, Chase Owen, Shimogama, Yoshihiro, Shinner, James David, Shipsey, Ian, Shirabe, Shohei, Shiyakova, Mariya, Shlomi, Jonathan, Shoa, Meir, Shochet, Mel, Shojaii, Seyed Ruhollah, Shooltz, Dean Daniel, Shope, David Richard, Shrestha, Suyog, Shrif, Esra Mohammed, Shroff, Maheyer Jamshed, Shutov, Alexander, Sicho, Petr, Sickles, Anne Marie, Sideras Haddad, Elias, Sidiropoulou, Ourania, Sidoti, Antonio, Siegert, Frank, Sijacki, Dorde, Sikora, Rafal, Sili, Francisco, Cardoso Silva, Julia Manuela, Silva Oliveira, Marcos Vinicius, Silverstein, Samuel, Simion, Stefan, Simola, Vesa, Simoniello, Rosa, Simpson, Ethan Lewis, Simpson, Liana, Simpson, Nathan Daniel, Simsek, Sinem, Sindhu, Sreelakshmi, Sinervo, Pekka, Singh, Shuvay, Singh, Sundeep, Singh, Sahibjeet, Sinha, Supriya, Sinha, Sukanya, Sioli, Maximiliano, Sippach, William, Siral, Ismet, Sivoklokov, Serguei, Siyad, Mohamed Jimcale, Sjoelin, Joergen, Skaf, Ali, Skorda, Eleni, Skubic, Patrick, Slawinska, Magdalena, Sliwa, Krzysztof, Smakhtin, Vladimir, Smart, Ben Harry, Smiesko, Juraj, Smirnov, Serge, Smirnov, Yury, Smirnova, Lidia, Smirnova, Oxana, Smith, Andrew Caldon, Smith, Dale Shane, Smith, Emily Ann, Smith, Hayden Alexander, Smith, James, Smith, Rachel Emma Clarke, Smizanska, Maria, Smolek, Karel, Smykiewicz, Andrzej, Snesarev, Andrei, Snoek, Hella, Snyder, Scott, Sobie, Randy, Soffer, Abi, Solans Sanchez, Carlos, Soldatov, Evgeny, Soldevila Serrano, Urmila, Solis, Michelle Ann, Soliveres Riviere, Francoise Simone, Solodkov, Sanya, Solomon, Shalu, Soloshenko, Aleksey, Solovieva, Ksenia, Solovyanov, Oleg, Solovyev, Victor, Soluk, Richard, Sommer, Philip, Sonay, Anil, Song, Wen Yi, Sonneveld, Jory, Sopczak, Andre, Sopio, Alex, Sopkova, Filomena, Sorbe, Jérôme, Sothilingam, Varsiha, Sottocornola, Simone, Soualah, Rachik, Soumaimi, Zainab, South, David, Soyk, Daniel, Spagnolo, Stefania, Spalla, Margherita, Spano, Francesco, Speers, Peter, Sperlich, Dennis, Spigo, Giancarlo, Spina, Mario, Spinali, Sebastiano, Spiteri, Dwayne Patrick, Spiwoks, Ralf, Spousta, Martin, Staats, Ezekiel, Stabile, Alberto, Staley, Richard John, Stamen, Rainer, Stamenkovic, Marko, Stamoulos, Ioannis, Stampekis, Alexios, Standke, Mark, Stanecka, Ewa, Stange, Max Vincent, Stanislaus, Beojan, Stanitzki, Marcel, Stankaityte, Migle, Stapf, Birgit Sylvia, Starchenko, Jenya, Stark, Giordon Holtsberg, Stark, Jan, Starko, Darij Markian, Staroba, Pavel, Starovoitov, Pavel, Staerz, Steffen, Staszewski, Rafal, Stavropoulos, George, Steentoft, Jonas, Steinberg, Peter Alan, Steinhebel, Amanda, Stelzer, Bernd, Stelzer, Joerg, Stelzer-Chilton, Oliver, Stenzel, Hasko, Stevenson, Thomas James, Stewart, Graeme A, Stockton, Mark, Stoicea, Gabriel, Stolarski, Marcin, Stonjek, Stefan, Stouras, Nikos, Straessner, Arno, Strandberg, Jonas, Strandberg, Sara, Strauss, Mike, Strebler, Thomas, Strickland, Vance, Strizenec, Pavol, Strohmer, Raimund, Strom, David, Strom, Lars Rickard, Stroynowski, Ryszard, Strubig, Antonia, Stucci, Stefania Antonia, Stugu, Bjarne, Stupak, John, Sturdy, Jared, Styles, Nicholas, Su, Dong, Su, Shixiang, Su, Wanyun, Su, Xiaowen, Sugizaki, Kaito, Sulin, Vladimir, Sullivan, Matthew James, Sultan, D.M.S, Sultanaliyeva, Laily, Sultanov, Salekh, Sumida, Toshi, Sun, Quan, Sun, Siyuan, Sun, Shaojun, Gudnadottir, Olga, Sutton, Mark, Svatos, Michal, Swiatlowski, Maximilian J, Swirski, Thorben, Sykora, Ivan, Sykora, Martin, Sykora, Tomas, Ta, Duc Bao, Tackmann, Kerstin, Taffard, Anyes, Tafirout, Reda, Tafoya Vargas, Juan Salvador, Taghavirad, Saeed, Taibah, Reem Hani M, Takashima, Ryuichi, Takeda, Kosuke, Takeva, Emily Petrova, Takubo, Yosuke, Talby, Mossadek, Talyshev, Alexei, Tam, Kai Chung, Tamir, Nadav Michael, Tanaka, Aoto, Tanaka, Junichi, Tanaka, Rei, Tanasini, Martino, Tang, Jiannan, Tang, Shaochun, Tao, Zhengcheng, Tapia Araya, Sebastian, Tapprogge, Stefan, Tar, Bora, Tarek, Ahmed, Tarem, Shlomit, Tarem, Zvi, Tariq, Khuram, Tarna, Grigore, Tartarelli, Francesco, Tas, Petr, Tasevsky, Marek, Tasevsky, Mito, Tassi, Enrico, Tate, Aric, Tateno, Gen, Tayalati, Yahya, Taylor, Geoffrey Norman, Taylor, Wendy Jane, Teagle, Hamish Edward, Tee, Amy, Teixeira de Lima, Rafael, Teixeira-Dias, Pedro, Teoh, Jia Jian, Terashi, Koji, Terron Cuadrado, Juan, Terzo, Stefano, Testa, Marianna, Teterin, Peter, Teurnier, Marie-Solene, Teuscher, Richard, Thaler, Alexander, Theiner, Ondrej, Themistokleous, Neofytos, Theveneaux-Pelzer, Timothee, Thielmann, Oliver, Thomas, Chris, Thomas, David William, Thomas, James Oscar, Thomas, Juergen, Thompson, Emily Anne, Thompson, Paul, Thomson, Evelyn Jean, Thorpe, Edward James, Tian, Yusong, Tikhomirov, Vladimir, Tikhonov, Iouri, Timoshenko, Sergei, Ting, Edmund Xiang Lin, Tipton, Paul Louis, Tisserant, Sylvain, Tlou, Humphry, Tnourji, Abdellah, Tobias, Juergen, Todome, Kazuki, Todorov, Teddy, Todorova, Sarka, Todt, Stefanie, Togawa, Manabu, Tojo, Junji, Tokar, Stano, Tokushuku, Katsuo, Toldaiev, Alex, Tombs, Rupert, Tomoto, Makoto, Tompkins, Daniel, Tompkins, Lauren Alexandra, Topolnicki, Kacper Wojciech, Tornambe, Peter, Torrence, Eric, Torres, Heberth, Torro Pastor, Emma, Toscani, Mariana, Tosciri, Cecilia, Tost, Marc, Tovey, Daniel, Traeet, Are Sivertsen, Tranchand, Laure, Trandafir, Iulia-Stefania, Trantou, Foteini, Trattino, Pietro, Travaglini, Riccardo, Trefzger, Thomas, Tricoli, Alessandro, Trigger, Isabel, Trincaz-Duvoid, Sophie, Trischuk, Dominique Anderson, Trocme, Benjamin, Troeglazov, Ivan, Trofymov, Artur, Troncon, Clara, Troska, Georg, Trotta, Danilo, Trovatelli, Monica, Trovato, Marco, Truong, Thi Ngoc Loan, Trzebinski, Maciej, Trzupek, Adam, Tsai, Fang-Ying, Tsai, Meng-Ju, Tse, Wan Ho, Tsiafis, Yoannis, Tsiamis, Angelos, Tsiareshka, Pavel, Tsigaridas, Stergios, Tsirigotis, Apostolos, Tsiskaridze, Vakhtang, Tskhadadze, Edisher, Tsopoulou, Maria-Evanthia, Tsujikawa, Yoshiaki, Tsukerman, Ilia, Tsulaia, Vakhtang, Tsuno, Soshi, Tsur, Omer, Tsybyshev, Dmitry, Tu, Yanjun, Tudorache, Alexandra, Tudorache, Valentina, Tuna, Alexander Naip, Turchikhin, Semen, Turco, Paola, Turk Cakir, Ilkay, Turra, Ruggero, Turtuvshin, Tulgaa, Tusi, Enrico, Tuts, Mike, Tzamarias, Spyros, Tzanis, Polyneikis, Tzanos, Stamatios, Tzovara, Eftychia, Uchida, Kenta, Ukah, Kelechi Rock, Ukegawa, Fumihiko, Ulloa Poblete, Pablo Augusto, Umaka, Ejiro Naomi, Unal, Guillaume, Unal, Mesut, Undrus, Alexander, Unel, Gokhan, Uno, Kenta, Urban, Josef, Urbasek, Vladimir, Urquijo, Phillip, Usai, Giulio, Ushioda, Risa, Usman, Muhammad, Usseglio, Michel, Uysal, Zekeriya, Vacavant, Laurent, Vacek, Vic, Vacher, Thierry, Vachon, Brigitte, Vadla, Knut Oddvar Hoie, Vafeiadis, Theodoros, Vaitkus, Andrius, Valderanis, Chrysostomos, Valdes Santurio, Eduardo, Valente, Marco, Valentinetti, Sara, Valero Biot, Alberto, Vallier, Alexis, Valls Ferrer, Juan, van Arneman, Dylan Remberto, van Daalen, Tal Roelof, van Gemmeren, Peter, van Overbeek, Martijn, van Rijnbach, Milou, van Stroud, Samuel, van Vulpen, Ivo, Vanadia, Marco, Vandelli, Wainer, Vandenbroucke, Maxence, van de Wall, Evan Richard, Vannicola, Damiano, Vannoli, Leonardo, Varga-Rehling, Attila, Vari, Riccardo, Varnes, Erich Ward, Varni, Carlo, Mete, Tulin, Varouchas, Dimitris, Varriale, Lorenzo, Varvell, Kevin, Vasile, Matei, Vaslin, Louis, Vasquez, Gerardo, Vazeille, Francois, Vazquez Schroeder, Tamara, Vdovin, Aleksander, Veatch, Jason Robert, Vecchio, Valentina, Veen, Michiel Jan, Veliscek, Iza, Veloce, Laurelle Maria, Veloso, Filipe, Veneziano, Stefano, Ventura, Andrea, Venturi, Nicola, Verbytskyi, Andrii, Vercellati, Filippo, Verducci, Monica, Vergain, Maurice, Vergis, Christos, Verissimo de Araujo, Micael, Verkerke, Wouter, Verlaat, Bart, Vermeulen, Jos, Vernieri, Caterina, Verschuuren, Pim Jordi, Vessella, Makayla, Vetterli, Michel Joseph, Vgenopoulos, Andreas, Viaux Maira, Nicolas, Vichoudis, Paschalis, Vickey, Trevor, Vickey Boeriu, Oana, Viehhauser, Georg, Vieira de Souza, Julio, Vigani, Luigi, Vigeolas, Eric, Villa, Mauro, Villaplana, Miguel, Villhauer, Elena Michelle, Vilucchi, Elisabetta, Vincter, Manuella, Vinogradov, Mikhail, Virdee, Govindraj Singh, Vishwakarma, Akanksha, Vittori, Camilla, Vivarelli, Iacopo, Vlachos, Sotiris, Vladimirov, Vangelis, Voevodina, Elena, Vogel, Fabian, Vogt, Sven, Vokac, Petr, von Ahnen, Janik, von Torne, Eckhard, Vormwald, Benedikt, Vorobel, Vit, Vorobev, Konstantin, Vos, Marcel, Voss, Katharina, Vossebeld, Joost, Vozak, Matous, Vozdecky, Lubos, Vranjes, Nenad, Vranjes Milosavljevic, Marija, Vreeswijk, Marcel, Vuillemin, Cyrille, Vuillermet, Raphael, Vujinovic, Olivera, Vukotic, Ilija, Wada, Sayaka, Wagner, Cooper, Wagner, Wolfgang, Wahdan, Shayma, Wahlberg, Hernan Pablo, Wakasa, Rena, Wakida, Moe, Walbrecht, Verena Maria, Walder, James William, Walker, Rodney, Walker, Robert Bond, Walkowiak, Wolfgang, Wang, Ann Miao, Wang, Alex Zeng, Wang, Chen, Wang, Chenliang, Wang, Haichen, Wang, Jiawei, Wang, Jinglu, Wang, Jinhong, Wang, Qiang, Wang, Renjie, Wang, Rongkun, Wang, Rui, Wang, Song-Ming, Wang, Shuanggeng, Wang, Tao, Wang, Weitao, Wang, Xu, Wang, Xin, Wang, Xinxin, Wang, Xiaoning, Wang, Xi, Wang, Yufeng, Wang, Yuhao, Wang, Zirui, Wang, Zhen, Wang, Zhichen, Warburton, Andreas, Ward, Robert James, Warrack, Neil, Watson, Alan, Watson, Harriet, Watson, Miriam, Watts, Gordon, Waugh, Benedict Martin, Weaverdyck, Curtis John, Webb, Aaron, Weber, Christian, Weber, Hannsjorg, Weber, Jens, Weber, Maarten, Weber, Michele, Weber, Stephen, Weber, Sebastian Mario, Wei, Chuanshun, Wei, Yingjie, Weidberg, Anthony, Weingarten, Jens, Weirich, Marcel, Weiser, Christian, Welch, Steven, Wells, Craig John, Wells, Pippa, Wenaus, Torre, Wendland, Bjoern, Wengler, Thorsten, Wenke, Nina Stephanie, Wensing, Marius, Wermes, Norbert, Wessels, Martin, Whalen, Kate, Wharton, Andrew Mark, White, Aaron Stephen, White, Andrew, White, Martin John, Whiteson, Daniel, Wickremasinghe, Lakmin, Wiedenmann, Werner, Wiel, Christian, Wielers, Monika, Wiglesworth, Craig, Wiik-Fuchs, Liv, Wilbern, Daniel John, Wilkens, Henric, Williams, Daniel, Williams, Hugh, Williams, Sarah Louise, Willocq, Stephane, Windischhofer, Philipp, Wingerter, Isabelle, Winklmeier, Frank, Winter, Benedict Tobias, Winter, Joshua Krystian, Wittgen, Matthias, Wittig, Tobias, Wobisch, Markus, Woelker, Ricardo, Wollrath, Julian, Wolniewicz, Kevin, Wolter, Marcin, Wolters, Helmut, Wong, Vincent Wai Sum, Wongel, Alicia, Worm, Steven, Wosiek, Barbara Krystyna, Wotschack, Joerg, Woyshville, Aaron, Wozniak, Krzysztof Wieslaw, Wraight, Kenneth Gibb, Wu, Jinfei, Wu, Minlin, Wu, Mengqing, Wu, Sau Lan, Wu, Weihao, Wu, Wenjing, Wu, Xin, Wu, Yusheng, Wu, Zhibo, Wurzinger, Jonas, Wyatt, Terry, Wynne, Benjamin Michael, Xella, Stefania, Xia, Ligang, Xia, Mingming, Xiang, Jianhuan, Xiao, Xiong, Xie, Mingzhe, Xie, Xiangyu, Xin, Shuiting, Xiong, Junwen, Xiotidis, Ioannis, Xu, Da, Xu, Hanlin, Xu, Hao, Xu, Lailin, Xu, Riley, Xu, Rui, Xu, Tairan, Xu, Wenhao, Xu, Yue, Xu, Zhongyukun, Xu, Zijun, Yabsley, Bruce Donald, Yacoob, Sahal, Yamaguchi, Naoki, Yamaguchi, Yohei, Yamamoto, Shimpei, Yamauchi, Hiroki, Yamazaki, Tomohiro, Yamazaki, Yuji, Yan, Jun, Yan, Siyuan, Yan, Zhen, Yandyan, Armen, Yang, Haijun, Yang, Hongtao, Yang, Siqi, Yang, Tianyi, Yang, Xiao, Yang, Xuan, Yang, Yi-Lin, Yang, Zhe, Yao, Lin, Yao, Wei-Ming, Yap, Yee Chinn, Ye, Hanfei, Ye, Hua, Ye, Jingbo, Ye, Shuwei, Ye, Xinmeng, Yeh, Yoran, Yeletskikh, Ivan, Yeo, Beom Ki, Yexley, Melissa, Yildiz, Cenk, Yin, Pengqi, Yin, Weigang, Yorita, Kohei, Younas, Sulman, Young, Christopher, Young, Charlie, Yu, Yi, Yuan, Man, Yuan, Rui, Yue, Luzhan, Yue, Xiaoguang, Yukhimchuk, Sergey, Zaazoua, Mohamed, Zabinski, Bartlomiej Henryk, Zachariadou, Katerina, Zaghia, Hamid, Zahradnik, Vit, Zaid, Estifa'A, Zakareishvili, Tamar, Zakharchuk, Nataliia, Zambito, Stefano, Zamora Saa, Jilberto Antonio, Zang, Jiaqi, Zanzi, Daniele, Zaplatilek, Ota, Zeissner, Sonja Verena, Zeitnitz, Christian, Zeng, Jiancong, Zenger, Todd, Zenin, Oleg, Zenis, Tibor, Zenz, Seth, Zerradi, Soufiane, Zerwas, Dirk, Zhai, Mingjie, Zhang, Bowen, Zhang, Dengfeng, Zhang, Jie, Zhang, Jinlong, Zhang, Kaili, Zhang, Lei, Zhang, Peng, Zhang, Rui, Zhang, Shuzhou, Zhang, Tingyu, Zhang, Xiangke, Zhang, Xueyao, Zhang, Yulei, Zhang, Zhicai, Zhang, Zhiqing Philippe, Zhao, Haoran, Zhao, Pingchuan, Zhao, Tongbin, Zhao, Xiandong, Zhao, Yuzhan, Zhao, Zhengguo, Zhemchugov, Alexey, Zheng, Xiangxuan, Zheng, Zhi, Zhivun, Elena, Zhong, Dewen, Zhou, Bing, Zhou, Chen, Zhou, Hao, Zhou, Ning, Zhou, Shun, Zhou, You, Zhu, Chengguang, Zhu, Chenzheng, Zhu, Heling, Zhu, Hongbo, Zhu, Junjie, Zhu, Yifan, Zhu, Yingchun, Zhuang, Xuai, Zhukov, Konstantin, Zhulanov, Vladimir, Zibell, Andre, Zich, Jan, Zimine, Nikolai, Zimmermann, Jorg, Zimmermann, Stephanie Ulrike, Zinsser, Joachim, Ziolkowski, Michal, Zivkovic, Lidija, Zoccoli, Antonio, Zoch, Knut, Zolkin, Igor, Zonca, Eric, Zorbas, Theodore, Zormpa, Olga, Zou, Wenkai, Zuk, George, Zullo, Antonio, Zwalinski, Lukasz, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), and ATLAS

Subjects
Physics - Instrumentation and Detectors, CERN Lab, accelerator, data acquisition, diffraction, gap, FOS: Physical sciences, scintillation counter, trigger, electron, energy resolution, High Energy Physics - Experiment, p p, cross section, High Energy Physics - Experiment (hep-ex), pixel, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], muon, trigger, CERN LHC Coll, upgrade, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], forward spectrometer, track data analysis, vertex, background, photon, trigger, electronics, calorimeter, liquid argon, Instrumentation and Detectors (physics.ins-det), ATLAS, crossing, heavy ion, pile-up, trigger, threshold, luminosity, monitoring, Particle Physics - Experiment, signature, Micromegas, performance
Abstract

The ATLAS detector is installed in its experimental cavern at Point 1 of the CERN Large Hadron Collider. During Run 2 of the LHC, a luminosity of $\mathcal{L}=2\times 10^{34}\mathrm{cm}^{-2}\mathrm{s}^{-1}$ was routinely achieved at the start of fills, twice the design luminosity. For Run 3, accelerator improvements, notably luminosity levelling, allow sustained running at an instantaneous luminosity of $\mathcal{L}=2\times 10^{34}\mathrm{cm}^{-2}\mathrm{s}^{-1}$, with an average of up to 60 interactions per bunch crossing. The ATLAS detector has been upgraded to recover Run 1 single-lepton trigger thresholds while operating comfortably under Run 3 sustained pileup conditions. A fourth pixel layer 3.3 cm from the beam axis was added before Run 2 to improve vertex reconstruction and $b$-tagging performance. New Liquid Argon Calorimeter digital trigger electronics, with corresponding upgrades to the Trigger and Data Acquisition system, take advantage of a factor of 10 finer granularity to improve triggering on electrons, photons, taus, and hadronic signatures through increased pileup rejection. The inner muon endcap wheels were replaced by New Small Wheels with Micromegas and small-strip Thin Gap Chamber detectors, providing both precision tracking and Level-1 Muon trigger functionality. Tile Calorimeter scintillation counters were added to improve electron energy resolution and background rejection. Upgrades to Minimum Bias Trigger Scintillators and Forward Detectors improve luminosity monitoring and enable total proton-proton cross section, diffractive physics, and heavy ion measurements. These upgrades are all compatible with operation in the much harsher environment anticipated after the High-Luminosity upgrade of the LHC and are the first steps towards preparing ATLAS for the High-Luminosity upgrade of the LHC. This paper describes the Run 3 configuration of the ATLAS detector., Comment: 233 pages in total, author list starting page 214, 116 figures, 15 tables, submitted to JINST. All figures including auxiliary figures are available at http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/GENR-2019-02/

Published
2023
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43. The Precision Interventions for Severe and/or Exacerbation-Prone (PrecISE) Asthma Network: An overview of Network organization, procedures, and interventions

Author

Georas, Steve N., primary, Wright, Rosalind J., additional, Ivanova, Anastasia, additional, Israel, Elliot, additional, LaVange, Lisa M., additional, Akuthota, Praveen, additional, Carr, Tara F., additional, Denlinger, Loren C., additional, Fajt, Merritt L., additional, Kumar, Rajesh, additional, O’Neal, Wanda K., additional, Phipatanakul, Wanda, additional, Szefler, Stanley J., additional, Aronica, Mark A., additional, Bacharier, Leonard B., additional, Burbank, Allison J., additional, Castro, Mario, additional, Crotty Alexander, Laura, additional, Bamdad, Julie, additional, Cardet, Juan Carlos, additional, Comhair, Suzy A.A., additional, Covar, Ronina A., additional, DiMango, Emily A., additional, Erwin, Kim, additional, Erzurum, Serpil C., additional, Fahy, John V., additional, Gaffin, Jonathan M., additional, Gaston, Benjamin, additional, Gerald, Lynn B., additional, Hoffman, Eric A., additional, Holguin, Fernando, additional, Jackson, Daniel J., additional, James, John, additional, Jarjour, Nizar N., additional, Kenyon, Nicholas J., additional, Khatri, Sumita, additional, Kirwan, John P., additional, Kraft, Monica, additional, Krishnan, Jerry A., additional, Liu, Andrew H., additional, Liu, Mark C., additional, Marquis, M. Alison, additional, Martinez, Fernando, additional, Mey, Jacob, additional, Moore, Wendy C., additional, Moy, James N., additional, Ortega, Victor E., additional, Peden, David B., additional, Pennington, Emily, additional, Peters, Michael C., additional, Ross, Kristie, additional, Sanchez, Maria, additional, Smith, Lewis J., additional, Sorkness, Ronald L., additional, Wechsler, Michael E., additional, Wenzel, Sally E., additional, White, Steven R., additional, Zein, Joe, additional, Zeki, Amir A., additional, Noel, Patricia, additional, Billheimer, Dean, additional, Bleecker, Eugene R., additional, Branch, Emily, additional, Conway, Michelle, additional, Daines, Cori, additional, Deaton, Isaac, additional, Evans, Alexandria, additional, Field, Paige, additional, Francisco, Dave, additional, Hastie, Annette T., additional, Hmieleski, Bob, additional, Krings, Jeffrey O., additional, Liu, Yanqin, additional, Merchen, Janell L., additional, Meyers, Deborah A., additional, Narendran, Nirushan, additional, Peters, Stephen P., additional, Pippins, Anna, additional, Rank, Matthew A., additional, Schunk, Ronald, additional, Skeps, Raymond, additional, Wright, Benjamin, additional, Banzon, Tina M., additional, Bartnikas, Lisa M., additional, Baxi, Sachin N., additional, Betapudi, Vishwanath, additional, Brick, Isabelle, additional, Brockway, Conor, additional, Casale, Thomas B., additional, Castillo-Ruano, Kathleen, additional, Cinelli, Maria Angeles, additional, Crestani, Elena, additional, Cunningham, Amparito, additional, Day-Lewis, Megan, additional, Diaz-Cabrera, Natalie, additional, DiMango, Angela, additional, Esty, Brittany, additional, Fandozzi, Eva, additional, Fernandez, Jesse, additional, Fitzpatrick, Elizabeth, additional, Forth, Victoria E., additional, Gentile, Katarina, additional, Gubernick, David, additional, Gueye-Ndiaye, Seyni, additional, Gunnlaagsson, Sigfus, additional, Hauptmann, Marissa, additional, Hudey, Stephanie N., additional, Imanirad, Donya S., additional, Kaage, Tiffani, additional, Kolinsky, Nicholas, additional, LaBere, Brenna, additional, Lai, Peggy Sue, additional, Le, Meghan, additional, Ledford, Dennis K., additional, Lockey, Richard, additional, Louisias, Margee, additional, Macginnitie, Andrew J., additional, Maciag, Michelle C., additional, O’Neill, Allison, additional, Pepper, Amber N., additional, Permaul, Perdita, additional, Pugh, Mya, additional, Queheillalt, Dianna, additional, Saroya, Tarnjot, additional, Sheehan, William, additional, Smith, Catherine, additional, Socolovsky, Carmela, additional, Treffeisen, Else, additional, Trippa, Lorenzo, additional, Tulchinsky, Abigail, additional, Yee, Christina, additional, Carter, Tina, additional, Fu, Jun, additional, Garcia, Vanessa, additional, Hixon, Jenny, additional, Jackson, Carly, additional, Ji, Yuan, additional, Kalhan, Ravi, additional, Kaur, Opinderjit, additional, Li, Grace, additional, Makhija, Melanie M., additional, Maleckar, Spring, additional, Naureckas, Edward T., additional, Peters, Anju T., additional, Press, Valerie, additional, Qureshi, Mehreen, additional, Reyfman, Paul A., additional, Rosenberg, Sharon R., additional, Ryba, Dominika, additional, Sheng, Jianrong, additional, Xu, Ben, additional, Alam, Rafeul, additional, Anderson, Darci, additional, Belimezova, Sonya, additional, Bitzan, Jennifer, additional, Chupp, Geoffrey, additional, Clark, Brian J., additional, Cohn, Lauren, additional, Cruse, Margaret Hope, additional, Estrom, Jean, additional, Freid, Leah, additional, Villalobos, Jose Gomez, additional, Grant, Nicole, additional, Guntur, Vamsi P., additional, Holm, Carole, additional, Kolakowski, Christena, additional, Manka, Laurie A., additional, Miyazawa, Naomi, additional, Pak, Juno, additional, Pruitt, Diana M., additional, Sharma, Sunita, additional, Stevens, Allen D., additional, Thomas, Kisori, additional, Tippin, Brooke, additional, Valente, Karissa, additional, Wainscoat, Cynthia L., additional, White, Michael P., additional, Winnica, Daniel, additional, Ye, Shuyu, additional, Zeitlin, Pamela L., additional, Bach, Julia, additional, Brownell, Joshua, additional, Castro, Lauren, additional, DeLisa, Julie, additional, Fain, Sean B., additional, Fichtinger, Paul S., additional, Floerke, Heather, additional, Gern, James E., additional, Goswamy, Vinay, additional, Grogan, Jenelle, additional, Hasse, Wendy, additional, Kelley, Rick L., additional, Klaus, Danika, additional, LaBedz, Stephanie, additional, Lowell, Paige, additional, Maddox, Andrew, additional, Mathur, Sameer K., additional, McIntyre, Amanda, additional, Norwick, Lourdes M., additional, Nyenhuis, Sharmilee M., additional, O’Brien, Matthew J., additional, Palas, Tina, additional, Pappalardo, Andrea A., additional, Potter, Mark, additional, Ramratnam, Sima K., additional, Rosenberg, Daniel L., additional, Schauberger, Eric M., additional, Schiebler, Mark L., additional, Schraml, Angela, additional, Taki, Mohamed, additional, Tattersall, Matthew C., additional, Torres, Jissell, additional, Wollet, Lori, additional, Abi-Saleh, Simon, additional, Bendy, Lisa, additional, Borish, Larry, additional, Chmiel, James F., additional, Dix, Aska, additional, France, Lisa, additional, Gammell, Rebecca, additional, Gluvna, Adam, additional, Hirth, Brittany, additional, Hu, Bo, additional, Hyser, Elise, additional, Kloepfer, Kirsten M., additional, Koo, Michelle, additional, Krupp, Nadia L., additional, Labadia, Monica, additional, Lawrence, Joy, additional, Logan, Laurie, additional, Marko, Angela, additional, Matuska, Brittany, additional, Murphy, Deborah, additional, Owensby, Rachel, additional, Roesch, Erica A., additional, Sanders, Don B., additional, Sharp, Jackie, additional, Teague, W. Gerald, additional, Veri, Laura, additional, Shifflett, Kristin Wavell, additional, Camiolo, Matt, additional, Collins, Sarah, additional, Demas, Jessa, additional, Elvin, Courtney, additional, Gauthier, Marc C., additional, Ilnicki, Melissa, additional, Ingram, Jenn, additional, Lane, Lisa, additional, Nouraie, Seyed Mehdi, additional, Trudeau, John B., additional, Zhang, Michael, additional, Barry, Jeffrey, additional, Brickner, Howard, additional, Celso, Janelle, additional, Cernelc-Kohan, Matejka, additional, Diaz, Damaris, additional, Du, Ashley, additional, Jain, Sonia, additional, Liu, Neiman, additional, Nazir, Yusife, additional, Ryu, Julie, additional, Vijayanand, Pandurangan, additional, Almario, Rogelio, additional, Baum, Ariana, additional, Brown, Kellen, additional, Chan, Marilynn H., additional, Gale, Barbara, additional, Haczku, Angela, additional, Harper, Richart W., additional, Heromin, Raymond, additional, Kivler, Celeste, additional, Kuhn, Brooks T., additional, Ly, Ngoc P., additional, McCourt, Paula, additional, Orain, Xavier, additional, Plough, Audrey, additional, Ramirez, Karla, additional, Roberts, Ellese, additional, Schivo, Michael, additional, Singapuri, Amisha, additional, Tham, Tina, additional, Tompkins, Daniel, additional, Twitmyer, Patricia Michelle, additional, Vi, Jade, additional, Atha, Jarron, additional, Bedard, Jennifer, additional, Boomer, Jonathan S., additional, Chung, Andrew, additional, Curtis, Vanessa, additional, Hall, Chase S., additional, Hart, Emily, additional, Jackson, Fatima, additional, Kemp, Pamela, additional, Maxwell, Sharli, additional, Messplay, Maggie, additional, Ramirez, Crystal, additional, Thompson, Brynne, additional, Britt, Ashley, additional, Bryan, Hope, additional, Gotman, Nathan M., additional, Jiang, Yue, additional, Kosorok, Michael R., additional, Mauger, David T., additional, Meekins, Kelsey, additional, Mollenhauer, Jeanette K., additional, Moody, Sarah, additional, Ritz, Cheyanne, additional, Schwartz, Stefanie, additional, Thomlinson, Chalmer, additional, and Wilson, Nicole, additional

Published
2022
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45. New alphacoronavirus in Mystacina tuberculata bats, New Zealand

Author

Hall, Richard J., Wang, Jing, Peacey, Matthew, Moore, Nicole E., McInnes, Kate, and Tompkins, Daniel M.

Subjects
Coronavirus infections -- Research -- Demographic aspects -- Genetic aspects, Bats -- Health aspects, Animal experimentation -- Usage, Health
Abstract

Human settlement in New Zealand is relatively recent compared with that of many countries and extends back ≅800 years to when early Polynesian explorers first arrived (1). A wide variety [...]

Published
2014
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48. Experimental Evaluation of Inlet Distortion on an Ejector Powered Hybrid Wing Body at Take-off and Landing Conditions

Author

Carter, Melissa B, Shea, Patrick R, Flamm, Jeffrey D, Schuh, Michael, James, Kevin D, Sexton, Matthew R, Tompkins, Daniel M, and Beyar, Michael D

Subjects
Aerodynamics
Abstract

As part of the NASA Environmentally Responsible Aircraft project, an ultra high bypass ratio engine integration on a hybrid wing body demonstration was planned. The goal was to include engine and airframe integration concepts that reduced fuel consumption by at least 50% while still reducing noise 42 db cumulative on the ground. Since the engines would be mounted on the upper surface of the aft body of the aircraft, the inlets may be susceptible to vortex ingestion from the wing leading edge at high angles of attack and sideslip, and separated wing/body flow. Consequently, experimental and computational studies were conducted to collect flow surveys useful for characterizing engine operability. The wind tunnel tests were conducted at two NASA facilities, the 14- by 22-foot at NASA Langley and the 40- by 80-foot at NASA Ames Research Center. The test results included in this paper show that the distortion and pressure recovery levels were acceptable for engine operability. The CFD studies conducted to compare to experimental data showed excellent agreement for the angle of attacks examined, although failed to match the low speed experimental data at high sideslip angles.

Published
2016

49. NASA Environmentally Responsible Aviation Hybrid Wing Body Flow-Through Nacelle Wind Tunnel CFD

Author

Schuh, Michael J, Garcia, Jospeh A, Carter, Melissa B, Deere, Karen A, Stremel, Paul M, and Tompkins, Daniel M

Subjects
Aerodynamics
Abstract

Wind tunnel tests of a 5.75% scale model of the Boeing Hybrid Wing Body (HWB) configuration were conducted in the NASA Langley Research Center (LaRC) 14'x22' and NASA Ames Research Center (ARC) 40'x80' low speed wind tunnels as part of the NASA Environmentally Responsible Aviation (ERA) Project. Computational fluid dynamics (CFD) simulations of the flow-through nacelle (FTN) configuration of this model were performed before and after the testing. This paper presents a summary of the experimental and CFD results for the model in the cruise and landing configurations.

Published
2016

50. Computational Evaluation of Inlet Distortion on an Ejector Powered Hybrid Wing Body at Takeoff and Landing Conditions

Author

Tompkins, Daniel M, Sexton, Matthew R, Mugica, Edward A, Beyar, Michael D, Schuh, Michael J, Stremel, Paul M, Deere, Karen A, McMillin, Naomi, and Carter, Melissa B

Subjects
Aircraft Design, Testing And Performance, Fluid Mechanics And Thermodynamics
Abstract

Due to the aft, upper surface engine location on the Hybrid Wing Body (HWB) planform, there is potential to shed vorticity and separated wakes into the engine when the vehicle is operated at off-design conditions and corners of the envelope required for engine and airplane certification. CFD simulations were performed of the full-scale reference propulsion system, operating at a range of inlet flow rates, flight speeds, altitudes, angles of attack, and angles of sideslip to identify the conditions which produce the largest distortion and lowest pressure recovery. Pretest CFD was performed by NASA and Boeing, using multiple CFD codes, with various turbulence models. These data were used to make decisions regarding model integration, characterize inlet flow distortion patterns, and help define the wind tunnel test matrix. CFD was also performed post-test; when compared with test data, it was possible to make comparisons between measured model-scale and predicted full-scale distortion levels. This paper summarizes these CFD analyses.

Published
2016

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