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1,846 results on '"Hicks, B"'

1. Digital Twin Design and Evaluation for Dynamically Optimised Distribution Strategy in Food Supply Chains: An Exploratory Case Study

Author

Valero, M. R., Schiffmann, O., Nassehi, A., Hicks, B. J., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Silva, Francisco J. G., editor, Ferreira, Luís Pinto, editor, Sá, José Carlos, editor, Pereira, Maria Teresa, editor, and Pinto, Carla M. A., editor

Published
2024
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2. Germline ATM variants predispose to melanoma: a joint analysis across the GenoMEL and MelaNostrum consortia

Author

Dalmasso, B, Pastorino, L, Nathan, V, Shah, NN, Palmer, JM, Howlie, M, Johansson, PA, Freedman, ND, Carter, BD, Beane-Freeman, L, Hicks, B, Molven, A, Helgadottir, H, Sankar, A, Tsao, H, Stratigos, AJ, Helsing, P, Van Doorn, R, Gruis, NA, Visser, M, Wadt, KAW, Mann, G, Holland, EA, Nagore, E, Potrony, M, Puig, S, Menin, C, Peris, K, Fargnoli, MC, Calista, D, Soufir, N, Harland, M, Bishop, T, Kanetsky, PA, Elder, DE, Andreotti, V, Vanni, I, Bruno, W, Höiom, V, Tucker, MA, Yang, XR, Andresen, PA, Adams, DJ, Landi, MT, Hayward, NK, Goldstein, AM, and Ghiorzo, P

Subjects
Genetics, Human Genome, Cancer, 2.1 Biological and endogenous factors, Aetiology, Ataxia Telangiectasia, Ataxia Telangiectasia Mutated Proteins, Australia, Genetic Predisposition to Disease, Germ-Line Mutation, Humans, Melanoma, GenoMEL, MelaNostrum consortia, Clinical Sciences, Genetics & Heredity
Abstract

PurposeAtaxia-Telangiectasia Mutated (ATM) has been implicated in the risk of several cancers, but establishing a causal relationship is often challenging. Although ATM single-nucleotide polymorphisms have been linked to melanoma, few functional alleles have been identified. Therefore, ATM impact on melanoma predisposition is unclear.MethodsFrom 22 American, Australian, and European sites, we collected 2,104 familial, multiple primary (MPM), and sporadic melanoma cases who underwent ATM genotyping via panel, exome, or genome sequencing, and compared the allele frequency (AF) of selected ATM variants classified as loss-of-function (LOF) and variants of uncertain significance (VUS) between this cohort and the gnomAD non-Finnish European (NFE) data set.ResultsLOF variants were more represented in our study cohort than in gnomAD NFE, both in all (AF = 0.005 and 0.002, OR = 2.6, 95% CI = 1.56-4.11, p

Published
2021

3. A Conceptual Framework of a Digital-Twin for a Circular Meat Supply Chain

Author

Valero, M. R., Hicks, B. J., Nassehi, A., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Kim, Kyoung-Yun, editor, Monplaisir, Leslie, editor, and Rickli, Jeremy, editor

Published
2023
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5. New Limits on the Low-frequency Radio Transient Sky Using 31 hr of All-sky Data with the OVRO-LWA

Author

Anderson, M. M., Hallinan, G., Eastwood, M. W., Monroe, R. M., Callister, T. A., Dowell, J., Hicks, B., Huang, Y., Kassim, N. E., Kocz, J., Lazio, T. J. W., Price, D. C., Schinzel, F. K., and Taylor, G. B.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

We present the results of the first transient survey from the Owens Valley Radio Observatory Long Wavelength Array (OVRO-LWA) using 31 hr of data, in which we place the most constraining limits on the instantaneous transient surface density at timescales of 13 s to a few minutes and at frequencies below 100 MHz. The OVRO-LWA is a dipole array that images the entire viewable hemisphere with 58 MHz of bandwidth from 27 to 84 MHz at 13 s cadence. No transients are detected above a 6.5$\sigma$ flux density limit of 10.5 Jy, implying an upper limit to the transient surface density of $2.5\times10^{-8}$ deg$^{-2}$ at the shortest timescales probed, which is orders of magnitude deeper than has been achieved at sub-100 MHz frequencies and comparable flux densities to date. The nondetection of transients in the OVRO-LWA survey, particularly at minutes-long timescales, allows us to place further constraints on the rate of the potential population of transients uncovered by Stewart et al. (2016). From their transient rate, we expect a detection of $8.4^{+31.8}_{-8.0}$ events, and the probability of our null detection is $1.9^{+644}_{-1.9}\times10^{-3}$, ruling out a transient rate $>1.4\times10^{-4} \text{days}^{-1} \text{deg}^{-2}$ with 95% confidence at a flux density limit of 18.1 Jy, under the assumption of a flat spectrum and wide bandwidth. We discuss the implications of our nondetection for this population and further constraints that can be made on the source spectral index, intrinsic emission bandwidth, and resulting luminosity distribution., Comment: 20 pages, 8 figures, ApJ accepted

Published
2019
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8. Genetic Consequences of the Transatlantic Slave Trade in the Americas

Author

Agee, M., Aslibekyan, S., Auton, A., Bell, R., Clark, S., Das, S., Elson, S., Fletez-Brant, K., Fontanillas, P., Gandhi, P., Heilbron, K., Hicks, B., Hinds, D., Huber, K., Jewett, E., Jiang, Y., Kleinman, A., Lin, K., Litterman, N., McCreight, J., McIntyre, M., McManus, K., Mozaffari, S., Nandakumar, P., Noblin, L., Northover, C., O’Connell, J., Petrakovitz, A., Pitts, S., Shelton, J., Shringarpure, S., Tian, C., Tung, J., Tunney, R., Vacic, V., Wang, X., Zare, A., Micheletti, Steven J., Bryc, Kasia, Ancona Esselmann, Samantha G., Freyman, William A., Moreno, Meghan E., Poznik, G. David, Shastri, Anjali J., Beleza, Sandra, and Mountain, Joanna L.

Published
2020
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9. Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome

Author

Wiencke, John, MacHiela, MJ, Zhou, W, Karlins, E, Sampson, JN, Freedman, ND, Yang, Q, Hicks, B, Dagnall, C, Hautman, C, and Jacobs, KB

Abstract

To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events >2 Mb in 97 (0.2

Published
2016

10. Observations of Crab Giant Pulses in 20-84 MHz using LWA1

Author

Ellingson, S. W., Clarke, T. E., Craig, J., Hicks, B. C., Lazio, T. J. W., Taylor, G. B., Wilson, T. L., and Wolfe, C. N.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

We report the detection and observed characteristics of giant pulses from the Crab Nebula pulsar (B0531+21) in four frequency bands covering 20-84 MHz using the recently-completed Long Wavelength Array Station 1 (LWA1) radio telescope. In 10 hours of observations distributed over a 72-day period in Fall of 2012, 33 giant pulses having peak flux densities between 400 Jy and 2000 Jy were detected. Twenty-two of these pulses were detected simultaneously in channels of 16 MHz bandwidth centered at 44 MHz, 60 MHz, and 76 MHz, including one pulse which was also detected in a channel centered at 28 MHz. We quantify statistics of pulse amplitude and pulse shape characteristics, including pulse broadening. Amplitude statistics are consistent with expectations based on extrapolations from previous work at higher and lower frequencies. Pulse broadening is found to be relatively high, but not significantly greater than expected. We present procedures that have been found to be effective for observing giant pulses in this frequency range., Comment: 24 pages, 5 figures; accepted by the Astrophysical Journal

Published
2013
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11. First Light for the First Station of the Long Wavelength Array

Author

Taylor, G. B., Ellingson, S. W., Kassim, N. E., Craig, J., Dowell, J., Wolfe, C. N., Hartman, J., Bernardi, G., Clarke, T., Cohen, A., Dalal, N. P., Erickson, W. C., Hicks, B., Greenhill, L. J., Jacoby, B., Lane, W., Lazio, J., Mitchell, D., Navarro, R., Ord, S. M., Pihlstrom, Y., Polisensky, E., Ray, P. S., Rickard, L. J., Schinzel, F. K., Schmitt, H., Sigman, E., Soriano, M., Stewart, K. P., Stovall, K., Tremblay, S., Wang, D., Weiler, K. W., White, S., and Wood, D. L.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The first station of the Long Wavelength Array (LWA1) was completed in April 2011 and is currently performing observations resulting from its first call for proposals in addition to a continuing program of commissioning and characterization observations. The instrument consists of 258 dual-polarization dipoles, which are digitized and combined into beams. Four independently-steerable dual-polarization beams are available, each with two "tunings" of 16 MHz bandwidth that can be independently tuned to any frequency between 10 MHz and 88 MHz. The system equivalent flux density for zenith pointing is ~3 kJy and is approximately independent of frequency; this corresponds to a sensitivity of ~5 Jy/beam (5sigma, 1 s); making it one of the most sensitive meter-wavelength radio telescopes. LWA1 also has two "transient buffer" modes which allow coherent recording from all dipoles simultaneously, providing instantaneous all-sky field of view. LWA1 provides versatile and unique new capabilities for Galactic science, pulsar science, solar and planetary science, space weather, cosmology, and searches for astrophysical transients. Results from LWA1 will detect or tightly constrain the presence of hot Jupiters within 50 parsecs of Earth. LWA1 will provide excellent resolution in frequency and in time to examine phenomena such as solar bursts, and pulsars over a 4:1 frequency range that includes the poorly understood turnover and steep-spectrum regimes. Observations to date have proven LWA1's potential for pulsar observing, and just a few seconds with the completed 256-dipole LWA1 provide the most sensitive images of the sky at 23 MHz obtained yet. We are operating LWA1 as an open skies radio observatory, offering ~2000 beam-hours per year to the general community., Comment: accepted to the Journal of Astronomical Instrumentation, 29 pages, 14 figures

Published
2012

12. The LWA1 Radio Telescope

Author

Ellingson, S. W., Taylor, G. B., Craig, J., Hartman, J., Dowell, J., Wolfe, C. N., Clarke, T. E., Hicks, B. C., Kassim, N. E., Ray, P. S., Rickard, L. J., Schinzel, F. K., and Weiler, K. W.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

LWA1 is a new radio telescope operating in the frequency range 10-88 MHz, located in central New Mexico. The telescope consists of 258 pairs of dipole-type antennas whose outputs are individually digitized and formed into beams. Simultaneously, signals from all dipoles can be recorded using one of the instrument's "all dipoles" modes, facilitating all-sky imaging. Notable features of the instrument include high intrinsic sensitivity (about 6 kJy zenith system equivalent flux density), large instantaneous bandwidth (up to 78 MHz), and 4 independently-steerable beams utilizing digital "true time delay" beamforming. This paper summarizes the design of LWA1 and its performance as determined in commissioning experiments. We describe the method currently in use for array calibration, and report on measurements of sensitivity and beamwidth., Comment: 9 pages, 14 figures, accepted by IEEE Trans. Antennas & Propagation. Various minor changes from previous version

Published
2012
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13. Inclusive J/psi production in pp collisions at sqrt(s) = 2.76 TeV

Author

ALICE Collaboration, Abelev, B., Adam, J., Adamova, D., Adare, A. M., Aggarwal, M. M., Rinella, G. Aglieri, Agocs, A. G., Agostinelli, A., Salazar, S. Aguilar, Ahammed, Z., Masoodi, A. Ahmad, Ahmad, N., Ahn, S. U., Akindinov, A., Aleksandrov, D., Alessandro, B., Molina, R. Alfaro, Alici, A., Alkin, A., Avina, E. Almaraz, Alme, J., Alt, T., Altini, V., Altinpinar, S., Altsybeev, I., Andrei, C., Andronic, A., Anguelov, V., Anielski, J., Anson, C., Anticic, T., Antinori, F., Antonioli, P., Aphecetche, L., Appelshauser, H., Arbor, N., Arcelli, S., Arend, A., Armesto, N., Arnaldi, R., Aronsson, T., Arsene, I. C., Arslandok, M., Asryan, A., Augustinus, A., Averbeck, R., Awes, T. C., Aysto, J., Azmi, M. D., Bach, M., Badala, A., Baek, Y. W., Bailhache, R., Bala, R., Ferroli, R. Baldini, Baldisseri, A., Baldit, A., Pedrosa, F. Baltasar Dos Santos, Ban, J., Baral, R. C., Barbera, R., Barile, F., Barnafoldi, G. G., Barnby, L. S., Barret, V., Bartke, J., Basile, M., Bastid, N., Bathen, B., Batigne, G., Batyunya, B., Baumann, C., Bearden, I. G., Beck, H., Belikov, I., Bellini, F., Bellwied, R., Belmont-Moreno, E., Bencedi, G., Beole, S., Berceanu, I., Bercuci, A., Berdnikov, Y., Berenyi, D., Bergmann, C., Berzano, D., Betev, L., Bhasin, A., Bhati, A. K., Bianchi, L., Bianchi, N., Bianchin, C., Bielcik, J., Bielcikova, J., Bjelogrlic, S., Blanco, F., Blau, D., Blume, C., Boccioli, M., Bock, N., Bogdanov, A., Boggild, H., Bogolyubsky, M., Boldizsar, L., Bombara, M., Book, J., Borel, H., Borissov, A., Bose, S., Bossu, F., Botje, M., Bottger, S., Boyer, B., Braidot, E., Braun-Munzinger, P., Bregant, M., Breitner, T., Browning, T. A., Broz, M., Brun, R., Bruna, E., Bruno, G. E., Budnikov, D., Buesching, H., Bufalino, S., Bugaiev, K., Busch, O., Buthelezi, Z., Orduna, D. Caballero, Caffarri, D., Cai, X., Caines, H., Villar, E. Calvo, Camerini, P., Roman, V. Canoa, Romeo, G. Cara, Carena, W., Carena, F., Filho, N. Carlin, Carminati, F., Montoya, C. A. Carrillo, Diaz, A. Casanova, Castellanos, J. Castillo, Hernandez, J. F. Castillo, Casula, E. A. R., Catanescu, V., Cavicchioli, C., Cepila, J., Cerello, P., Chang, B., Chapeland, S., Charvet, J. L., Chattopadhyay, S., Chawla, I., Cherney, M., Cheshkov, C., Cheynis, B., Chiavassa, E., Barroso, V. Chibante, Chinellato, D. D., Chochula, P., Chojnacki, M., Christakoglou, P., Christensen, C. H., Christiansen, P., Chujo, T., Chung, S. U., Cicalo, C., Cifarelli, L., Cindolo, F., Cleymans, J., Coccetti, F., Colamaria, F., Colella, D., Balbastre, G. Conesa, del Valle, Z. Conesa, Constantin, P., Contin, G., Contreras, J. G., Cormier, T. M., Morales, Y. Corrales, Cortese, P., Maldonado, I. Cortes, Cosentino, M. R., Costa, F., Cotallo, M. E., Crescio, E., Crochet, P., Alaniz, E. Cruz, Cuautle, E., Cunqueiro, L., Dainese, A., Dalsgaard, H. H., Danu, A., Das, K., Das, I., Das, D., Dash, A., Dash, S., De, S., de Barros, G. O. V., De Caro, A., de Cataldo, G., de Cuveland, J., De Falco, A., De Gruttola, D., Delagrange, H., Sanchez, E. Del Castillo, Deloff, A., Demanov, V., De Marco, N., Denes, E., De Pasquale, S., Deppman, A., Erasmo, G. D, de Rooij, R., Corchero, M. A. Diaz, Di Bari, D., Dietel, T., Di Giglio, C., Di Liberto, S., Di Mauro, A., Di Nezza, P., Divia, R., Djuvsland, O., Dobrin, A., Dobrowolski, T., Dominguez, I., Donigus, B., Dordic, O., Driga, O., Dubey, A. K., Ducroux, L., Dupieux, P., Majumdar, A. K. Dutta, Majumdar, M. R. Dutta, Elia, D., Emschermann, D., Engel, H., Erdal, H. A., Espagnon, B., Estienne, M., Esumi, S., Evans, D., Eyyubova, G., Fabris, D., Faivre, J., Falchieri, D., Fantoni, A., Fasel, M., Fearick, R., Fedunov, A., Fehlker, D., Feldkamp, L., Felea, D., Feofilov, G., Tellez, A. Fernandez, Ferreiro, E. G., Ferretti, A., Ferretti, R., Figiel, J., Figueredo, M. A. S., Filchagin, S., Finogeev, D., Fionda, F. M., Fiore, E. M., Floris, M., Foertsch, S., Foka, P., Fokin, S., Fragiacomo, E., Fragkiadakis, M., Frankenfeld, U., Fuchs, U., Furget, C., Girard, M. Fusco, Gaardhoje, J. J., Gagliardi, M., Gago, A., Gallio, M., Gangadharan, D. R., Ganoti, P., Garabatos, C., Garcia-Solis, E., Garishvili, I., Gerhard, J., Germain, M., Geuna, C., Gheata, A., Gheata, M., Ghidini, B., Ghosh, P., Gianotti, P., Girard, M. R., Giubellino, P., Gladysz-Dziadus, E., Glassel, P., Gomez, R., Gonzalez-Trueba, L. H., Gonzalez-Zamora, P., Gorbunov, S., Goswami, A., Gotovac, S., Grabski, V., Graczykowski, L. K., Grajcarek, R., Grelli, A., Grigoras, A., Grigoras, C., Grigoriev, V., Grigoryan, A., Grigoryan, S., Grinyov, B., Grion, N., Gros, P., Grosse-Oetringhaus, J. F., Grossiord, J. -Y., Grosso, R., Guber, F., Guernane, R., Gutierrez, C. Guerra, Guerzoni, B., Guilbaud, M., Gulbrandsen, K., Gunji, T., Gupta, A., Gupta, R., Gutbrod, H., Haaland, O., Hadjidakis, C., Haiduc, M., Hamagaki, H., Hamar, G., Han, B. H., Hanratty, L. D., Hansen, A., Harmanova, Z., Harris, J. W., Hartig, M., Hasegan, D., Hatzifotiadou, D., Hayrapetyan, A., Heckel, S. T., Heide, M., Helstrup, H., Herghelegiu, A., Corral, G. Herrera, Herrmann, N., Hetland, K. F., Hicks, B., Hille, P. T., Hippolyte, B., Horaguchi, T., Hori, Y., Hristov, P., Hrivnacova, I., Huang, M., Huber, S., Humanic, T. J., Hwang, D. S., Ichou, R., Ilkaev, R., Ilkiv, I., Inaba, M., Incani, E., Innocenti, G. M., Innocenti, P. G., Ippolitov, M., Irfan, M., Ivan, C., Ivanov, V., Ivanov, A., Ivanov, M., Ivanytskyi, O., Jacholkowski, A., Jacobs, P. M., Jancurova, L., Jang, H. J., Jangal, S., Janik, M. A., Janik, R., Jayarathna, P. H. S. Y., Jena, S., Bustamante, R. T. Jimenez, Jirden, L., Jones, P. G., Jung, H., Jusko, A., Kaidalov, A. B., Kakoyan, V., Kalcher, S., Kalinak, P., Kalisky, M., Kalliokoski, T., Kalweit, A., Kanaki, K., Kang, J. H., Kaplin, V., Uysal, A. Karasu, Karavichev, O., Karavicheva, T., Karpechev, E., Kazantsev, A., Kebschull, U., Keidel, R., Khan, M. M., Khan, S. A., Khan, P., Khanzadeev, A., Kharlov, Y., Kileng, B., Kim, M., Kim, J. S., Kim, D. J., Kim, T., Kim, B., Kim, S., Kim, S. H., Kim, D. W., Kim, J. H., Kirsch, S., Kisel, I., Kiselev, S., Kisiel, A., Klay, J. L., Klein, J., Klein-Bosing, C., Kliemant, M., Kluge, A., Knichel, M. L., Knospe, A. G., Koch, K., Kohler, M. K., Kolojvari, A., Kondratiev, V., Kondratyeva, N., Konevskikh, A., Korneev, A., Don, C. Kottachchi Kankanamge, Kour, R., Kowalski, M., Kox, S., Meethaleveedu, G. Koyithatta, Kral, J., Kralik, I., Kramer, F., Kraus, I., Krawutschke, T., Krelina, M., Kretz, M., Krivda, M., Krizek, F., Krus, M., Kryshen, E., Krzewicki, M., Kucheriaev, Y., Kuhn, C., Kuijer, P. G., Kurashvili, P., Kurepin, A., Kurepin, A. B., Kuryakin, A., Kushpil, S., Kushpil, V., Kvaerno, H., Kweon, M. J., Kwon, Y., de Guevara, P. Ladron, Lakomov, I., Langoy, R., Lara, C., Lardeux, A., La Rocca, P., Lazzeroni, C., Lea, R., Bornec, Y. Le, Lee, S. C., Lee, K. S., Lefevre, F., Lehnert, J., Leistam, L., Lenhardt, M., Lenti, V., Leon, H., Monzon, I. Leon, Vargas, H. Leon, Levai, P., Lien, J., Lietava, R., Lindal, S., Lindenstruth, V., Lippmann, C., Lisa, M. A., Liu, L., Loenne, P. I., Loggins, V. R., Loginov, V., Lohn, S., Lohner, D., Loizides, C., Loo, K. K., Lopez, X., Torres, E. Lopez, Lovhoiden, G., Lu, X. -G., Luettig, P., Lunardon, M., Luo, J., Luparello, G., Luquin, L., Luzzi, C., Ma, K., Ma, R., Madagodahettige-Don, D. M., Maevskaya, A., Mager, M., Mahapatra, D. P., Maire, A., Malaev, M., Cervantes, I. Maldonado, Malinina, L., Mal'Kevich, D., Malzacher, P., Mamonov, A., Manceau, L., Mangotra, L., Manko, V., Manso, F., Manzari, V., Mao, Y., Marchisone, M., Mares, J., Margagliotti, G. V., Margotti, A., Marin, A., Tobon, C. A. Marin, Markert, C., Martashvili, I., Martinengo, P., Martinez, M. I., Davalos, A. Martinez, Garcia, G. Martinez, Martynov, Y., Mas, A., Masciocchi, S., Masera, M., Masoni, A., Massacrier, L., Mastromarco, M., Mastroserio, A., Matthews, Z. L., Matyja, A., Mayani, D., Mayer, C., Mazer, J., Mazzoni, M. A., Meddi, F., Menchaca-Rocha, A., Perez, J. Mercado, Meres, M., Miake, Y., Milano, L., Milosevic, J., Mischke, A., Mishra, A. N., Miskowiec, D., Mitu, C., Mlynarz, J., Mohanty, A. K., Mohanty, B., Molnar, L., Zetina, L. Montano, Monteno, M., Montes, E., Moon, T., Morando, M., De Godoy, D. A. Moreira, Moretto, S., Morsch, A., Muccifora, V., Mudnic, E., Muhuri, S., Muller, H., Munhoz, M. G., Musa, L., Musso, A., Nandi, B. K., Nania, R., Nappi, E., Nattrass, C., Naumov, N. P., Navin, S., Nayak, T. K., Nazarenko, S., Nazarov, G., Nedosekin, A., Nicassio, M., Nielsen, B. S., Niida, T., Nikolaev, S., Nikolic, V., Nikulin, V., Nikulin, S., Nilsen, B. S., Nilsson, M. S., Noferini, F., Nomokonov, P., Nooren, G., Novitzky, N., Nyanin, A., Nyatha, A., Nygaard, C., Nystrand, J., Ochirov, A., Oeschler, H., Oh, S. K., Oh, S., Oleniacz, J., Oppedisano, C., Velasquez, A. Ortiz, Ortona, G., Oskarsson, A., Ostrowski, P., Otwinowski, J., Ovrebekk, G., Oyama, K., Ozawa, K., Pachmayer, Y., Pachr, M., Padilla, F., Pagano, P., Paic, G., Painke, F., Pajares, C., Pal, S. K., Pal, S., Palaha, A., Palmeri, A., Papikyan, V., Pappalardo, G. S., Park, W. J., Passfeld, A., Pastircak, B., Patalakha, D. I., Paticchio, V., Pavlinov, A., Pawlak, T., Peitzmann, T., Filho, E. Pereira De Oliveira, Peresunko, D., Lara, C. E. Perez, Lezama, E. Perez, Perini, D., Perrino, D., Peryt, W., Pesci, A., Peskov, V., Pestov, Y., Petracek, V., Petran, M., Petris, M., Petrov, P., Petrovici, M., Petta, C., Piano, S., Piccotti, A., Pikna, M., Pillot, P., Pinazza, O., Pinsky, L., Pitz, N., Piuz, F., Piyarathna, D. B., Ploskon, M., Pluta, J., Pocheptsov, T., Pochybova, S., Podesta-Lerma, P. L. M., Poghosyan, M. G., Polak, K., Polichtchouk, B., Pop, A., Porteboeuf-Houssais, S., Pospisil, V., Potukuchi, B., Prasad, S. K., Preghenella, R., Prino, F., Pruneau, C. A., Pshenichnov, I., Puchagin, S., Puddu, G., Teixido, J. Pujol, Pulvirenti, A., Punin, V., Putis, M., Putschke, J., Quercigh, E., Qvigstad, H., Rachevski, A., Rademakers, A., Radomski, S., Raiha, T. S., Rak, J., Rakotozafindrabe, A., Ramello, L., Reyes, A. Ramirez, Raniwala, S., Raniwala, R., Rasanen, S. S., Rascanu, B. T., Rathee, D., Read, K. F., Real, J. S., Redlich, K., Reichelt, P., Reicher, M., Renfordt, R., Reolon, A. R., Reshetin, A., Rettig, F., Revol, J. -P., Reygers, K., Riccati, L., Ricci, R. A., Richert, T., Richter, M., Riedler, P., Riegler, W., Riggi, F., Cahuantzi, M. Rodriguez, Roed, K., Rohr, D., Rohrich, D., Romita, R., Ronchetti, F., Rosnet, P., Rossegger, S., Rossi, A., Roukoutakis, F., Roy, C., Roy, P., Montero, A. J. Rubio, Rui, R., Ryabinkin, E., Rybicki, A., Sadovsky, S., Safarik, K., Sahoo, R., Sahu, P. K., Saini, J., Sakaguchi, H., Sakai, S., Sakata, D., Salgado, C. A., Salzwedel, J., Sambyal, S., Samsonov, V., Castro, X. Sanchez, Sandor, L., Sandoval, A., Sano, S., Sano, M., Santo, R., Santoro, R., Sarkamo, J., Scapparone, E., Scarlassara, F., Scharenberg, R. P., Schiaua, C., Schicker, R., Schmidt, H. R., Schmidt, C., Schreiner, S., Schuchmann, S., Schukraft, J., Schutz, Y., Schwarz, K., Schweda, K., Scioli, G., Scomparin, E., Scott, P. A., Scott, R., Segato, G., Selyuzhenkov, I., Senyukov, S., Seo, J., Serci, S., Serradilla, E., Sevcenco, A., Sgura, I., Shabetai, A., Shabratova, G., Shahoyan, R., Sharma, N., Sharma, S., Shigaki, K., Shimomura, M., Shtejer, K., Sibiriak, Y., Siciliano, M., Sicking, E., Siddhanta, S., Siemiarczuk, T., Silvermyr, D., Silvestre, C., Simonetti, G., Singaraju, R., Singh, R., Singha, S., Sinha, T., Sinha, B. C., Sitar, B., Sitta, M., Skaali, T. B., Skjerdal, K., Smakal, R., Smirnov, N., Snellings, R. J. M., Sogaard, C., Soltz, R., Son, H., Song, M., Song, J., Soos, C., Soramel, F., Sputowska, I., Spyropoulou-Stassinaki, M., Srivastava, B. K., Stachel, J., Stan, I., Stefanek, G., Stefanini, G., Steinbeck, T., Steinpreis, M., Stenlund, E., Steyn, G., Stocco, D., Stolpovskiy, M., Strabykin, K., Strmen, P., Suaide, A. A. P., Vasquez, M. A. Subieta, Sugitate, T., Suire, C., Sukhorukov, M., Sultanov, R., Sumbera, M., Susa, T., de Toledo, A. Szanto, Szarka, I., Szostak, A., Tagridis, C., Takahashi, J., Takaki, J. D. Tapia, Tauro, A., Munoz, G. Tejeda, Telesca, A., Terrevoli, C., Thader, J., Thomas, D., Tieulent, R., Timmins, A. R., Tlusty, D., Toia, A., Torii, H., Toscano, L., Tosello, F., Truesdale, D., Trzaska, W. H., Tsuji, T., Tumkin, A., Turrisi, R., Tveter, T. S., Ulery, J., Ullaland, K., Ulrich, J., Uras, A., Urban, J., Urciuoli, G. M., Usai, G. L., Vajzer, M., Vala, M., Palomo, L. Valencia, Vallero, S., van der Kolk, N., Vyvre, P. Vande, van Leeuwen, M., Vannucci, L., Vargas, A., Varma, R., Vasileiou, M., Vasiliev, A., Vechernin, V., Veldhoen, M., Venaruzzo, M., Vercellin, E., Vergara, S., Vernekohl, D. C., Vernet, R., Verweij, M., Vickovic, L., Viesti, G., Vikhlyantsev, O., Vilakazi, Z., Baillie, O. Villalobos, Vinogradov, A., Vinogradov, Y., Vinogradov, L., Virgili, T., Viyogi, Y. P., Vodopyanov, A., Voloshin, S., Voloshin, K., Volpe, G., von Haller, B., Vranic, D., Vrlakova, J., Vulpescu, B., Vyushin, A., Wagner, B., Wagner, V., Wan, R., Wang, Y., Wang, D., Wang, M., Watanabe, K., Wessels, J. P., Westerhoff, U., Wiechula, J., Wikne, J., Wilde, M., Wilk, G., Wilk, A., Williams, M. C. S., Windelband, B., Karampatsos, L. Xaplanteris, Yang, H., Yang, S., Yasnopolskiy, S., Yi, J., Yin, Z., Yokoyama, H., Yoo, I. -K., Yoon, J., Yu, W., Yuan, X., Yushmanov, I., Zach, C., Zampolli, C., Zaporozhets, S., Zarochentsev, A., Zavada, P., Zaviyalov, N., Zbroszczyk, H., Zelnicek, P., Zgura, I. S., Zhalov, M., Zhang, X., Zhou, D., Zhou, Y., Zhou, F., Zhu, X., Zichichi, A., Zimmermann, A., Zinovjev, G., Zoccarato, Y., and Zynovyev, M.

Subjects
High Energy Physics - Experiment
Abstract

The ALICE Collaboration has measured inclusive J/psi production in pp collisions at a center of mass energy sqrt(s)=2.76 TeV at the LHC. The results presented in this Letter refer to the rapidity ranges |y|<0.9 and 2.5

Published
2012
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14. Surveying the Dynamic Radio Sky with the Long Wavelength Demonstrator Array

Author

Lazio, T. J. W., Clarke, T. E., Lane, W. M., Gross, C., Kassim, N. E., Ray, P. S., Wood, D., York, J. A., Kerkhoff, A., Hicks, B., Polisensky, E., Stewart, K., Dalal, N. Paravastu, Cohen, A. S., and Erickson, W. C.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Solar and Stellar Astrophysics
Abstract

This paper presents a search for radio transients at a frequency of 73.8 MHz (4 m wavelength) using the all-sky imaging capabilities of the Long Wavelength Demonstrator Array (LWDA). The LWDA was a 16-dipole phased array telescope, located on the site of the Very Large Array in New Mexico. The field of view of the individual dipoles was essentially the entire sky, and the number of dipoles was sufficiently small that a simple software correlator could be used to make all-sky images. From 2006 October to 2007 February, we conducted an all-sky transient search program, acquiring a total of 106 hr of data; the time sampling varied, being 5 minutes at the start of the program and improving to 2 minutes by the end of the program. We were able to detect solar flares, and in a special-purpose mode, radio reflections from ionized meteor trails during the 2006 Leonid meteor shower. We detected no transients originating outside of the solar system above a flux density limit of 500 Jy, equivalent to a limit of no more than about 10^{-2} events/yr/deg^2, having a pulse energy density >~ 1.5 x 10^{-20} J/m^2/Hz at 73.8 MHz for pulse widths of about 300 s. This event rate is comparable to that determined from previous all-sky transient searches, but at a lower frequency than most previous all-sky searches. We believe that the LWDA illustrates how an all-sky imaging mode could be a useful operational model for low-frequency instruments such as the Low Frequency Array, the Long Wavelength Array station, the low-frequency component of the Square Kilometre Array, and potentially the Lunar Radio Array., Comment: 20 pages; accepted for publication in AJ

Published
2010
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15. An Exploration of the Peri‐Diagnostic Experiences of Lesbian, Gay and Bisexual People With Dementia Using the Candidacy Framework.

Author

Hammond, J., Hicks, B., Daley, S., and Banerjee, S.

Subjects
*DIAGNOSIS of dementia, *HEALTH services accessibility, *PSYCHOLOGICAL resilience, *SEXISM, *HOME care services, *COMMUNITY health services, *RESEARCH funding, *GAY people, *GENDER identity, *PSYCHOLOGY of LGBTQ+ people, *INTERVIEWING, *SERVICES for caregivers, *DESCRIPTIVE statistics, *EXPERIENCE, *THEMATIC analysis, *LONGITUDINAL method, *MATHEMATICAL models, *RESEARCH methodology, *HEALTH equity, *THEORY, *MEDICAL needs assessment, *DEMENTIA patients, *LESBIANS
Abstract

Objectives: How dementia affects lesbian, gay, bisexual, trans, queer people or those with other minoritised sexual/gender identities (LGBTQ+) is not well understood. Furthermore, existing research often excludes the voices of LGBTQ+ people living with dementia and focuses instead on their care partners. This study addresses this evidence gap by drawing on the ESRC/NIHR funded DETERMIND cohort, consisting of 940 newly diagnosed people with dementia, to explore the peri‐diagnostic experiences of people living with dementia who identify as LGBTQ+. Methods: We recruited five people (who identified as lesbian, gay or bisexual [LGB]) and completed semi‐structured interviews with them and their partner caregivers (n = 3) discussing their experiences of (1) engaging with dementia health care services, (2) receiving a dementia diagnosis, and (3) the support they were offered after diagnosis. Interviews were shaped by the Candidacy Framework, a theoretical model for understanding accessibility of health services, and an inductive thematic analysis was employed to develop common themes. Findings: Participants did not routinely disclose their LGBTQ+ identities to health service professionals, despite feeling this was an essential aspect of who they are. They relied on their resilience of overcoming previous experiences of lifetime discrimination to navigate complicated dementia care systems. The importance of 'chosen families' as informal support networks for LGBTQ+ people living with dementia was highlighted, particularly given the lack of formal care services they felt comfortable accessing. All participants were concerned about their future care needs and whether they would receive home‐based or community‐based support that respected their LGBTQ+ identities. Conclusions: This study adds to the limited evidence base that can be used to inform future research, policy and practice seeking to address inequalities across the dementia care pathway. We only interviewed people who identified as LGB so generalizability to the whole LGBTQ+ population is limited, however our data suggest dementia health care professionals should encourage and support disclosures of LGBTQ+ identities so that inclusive care and support planning can be provided to LGBTQ+ people at every stage of dementia. [ABSTRACT FROM AUTHOR]

Published
2024
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16. The 74MHz System on the Very Large Array

Author

Kassim, N. E., Lazio, T. J. W., Erickson, W. C., Perley, R. A., Cotton, W. D., Greisen, E. W., Cohen, A. S., Hicks, B., Schmitt, H. R., and Katz, D.

Subjects
Astrophysics
Abstract

The Naval Research Laboratory and the National Radio Astronomy Observatory completed implementation of a low frequency capability on the VLA at 73.8 MHz in 1998. This frequency band offers unprecedented sensitivity (~25 mJy/beam) and resolution (~25 arcsec) for low-frequency observations. We review the hardware, the calibration and imaging strategies, comparing them to those at higher frequencies, including aspects of interference excision and wide-field imaging. Ionospheric phase fluctuations pose the major difficulty in calibrating the array. Over restricted fields of view or at times of extremely quiescent ionospheric ``weather'', an angle-invariant calibration strategy can be used. In this approach a single phase correction is devised for each antenna, typically via self-calibration. Over larger fields of view or at times of more normal ionospheric ``weather'' when the ionospheric isoplanatic patch size is smaller than the field of view, we adopt a field-based strategy in which the phase correction depends upon location within the field of view. This second calibration strategy was implemented by modeling the ionosphere above the array using Zernike polynomials. Images of 3C sources of moderate strength are provided as examples of routine, angle-invariant calibration and imaging. Flux density measurements indicate that the 74 MHz flux scale at the VLA is stable to a few percent, and tied to the Baars et al. value of Cygnus A at the 5 percent level. We also present an example of a wide-field image, devoid of bright objects and containing hundreds of weaker sources, constructed from the field-based calibration. We close with a summary of lessons the 74 MHz system offers as a model for new and developing low-frequency telescopes. (Abridged), Comment: 73 pages, 46 jpeg figures, to appear in ApJS

Published
2007
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17. Investigating the Evolving Knowledge Structures in New Technology Development

Author

Gopsill, J. A., Shakespeare, P., Snider, C. M., Newnes, L., Hicks, B. J., Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Series Editor, Goedicke, Michael, Series Editor, Tatnall, Arthur, Series Editor, Neuhold, Erich J., Series Editor, Pras, Aiko, Series Editor, Tröltzsch, Fredi, Series Editor, Pries-Heje, Jan, Series Editor, Whitehouse, Diane, Series Editor, Reis, Ricardo, Series Editor, Furnell, Steven, Series Editor, Furbach, Ulrich, Series Editor, Winckler, Marco, Series Editor, Rauterberg, Matthias, Series Editor, Chiabert, Paolo, editor, Bouras, Abdelaziz, editor, Noël, Frédéric, editor, and Ríos, José, editor

Published
2018
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20. Genome-wide Association Study of Bladder Cancer Reveals New Biological and Translational Insights

Author

Koutros, S, Kiemeney, LA, Choudhury, PP, Milne, RL, de Maturana, EL, Ye, Y, Joseph, V, Florez-Vargas, O, Dyrskjot, L, Figueroa, J, Dutta, D, Giles, GG, Hildebrandt, MAT, Offit, K, Kogevinas, M, Weiderpass, E, McCullough, ML, Freedman, ND, Albanes, D, Kooperberg, C, Cortessis, VK, Karagas, MR, Johnson, A, Schwenn, MR, Baris, D, Furberg, H, Bajorin, DF, Cussenot, O, Cancel-Tassin, G, Benhamou, S, Kraft, P, Porru, S, Carta, A, Bishop, T, Southey, MC, Matullo, G, Fletcher, T, Kumar, R, Taylor, JA, Lamy, P, Prip, F, Kalisz, M, Weinstein, SJ, Hengstler, JG, Selinski, S, Harland, M, Teo, M, Kiltie, AE, Tardon, A, Serra, C, Carrato, A, Garcia-Closas, R, Lloreta, J, Schned, A, Lenz, P, Riboli, E, Brennan, P, Tjonneland, A, Otto, T, Ovsiannikov, D, Volkert, F, Vermeulen, SH, Aben, KK, Galesloot, TE, Turman, C, De Vivo, I, Giovannucci, E, Hunter, DJ, Hohensee, C, Hunt, R, V. Patel, A, Huang, W-Y, Thorleifsson, G, Gago-Dominguez, M, Amiano, P, Golka, K, Stern, MC, Yan, W, Liu, J, Alfred, S, Katta, S, Hutchinson, A, Hicks, B, Wheeler, WA, Purdue, MP, McGlynn, KA, Kitahara, CM, Haiman, CA, Greene, MH, Rafnar, T, Chatterjee, N, Chanock, SJ, Wu, X, Real, FX, Silverman, DT, Garcia-Closas, M, Stefansson, K, Prokunina-Olsson, L, Malats, N, Rothman, N, Koutros, S, Kiemeney, LA, Choudhury, PP, Milne, RL, de Maturana, EL, Ye, Y, Joseph, V, Florez-Vargas, O, Dyrskjot, L, Figueroa, J, Dutta, D, Giles, GG, Hildebrandt, MAT, Offit, K, Kogevinas, M, Weiderpass, E, McCullough, ML, Freedman, ND, Albanes, D, Kooperberg, C, Cortessis, VK, Karagas, MR, Johnson, A, Schwenn, MR, Baris, D, Furberg, H, Bajorin, DF, Cussenot, O, Cancel-Tassin, G, Benhamou, S, Kraft, P, Porru, S, Carta, A, Bishop, T, Southey, MC, Matullo, G, Fletcher, T, Kumar, R, Taylor, JA, Lamy, P, Prip, F, Kalisz, M, Weinstein, SJ, Hengstler, JG, Selinski, S, Harland, M, Teo, M, Kiltie, AE, Tardon, A, Serra, C, Carrato, A, Garcia-Closas, R, Lloreta, J, Schned, A, Lenz, P, Riboli, E, Brennan, P, Tjonneland, A, Otto, T, Ovsiannikov, D, Volkert, F, Vermeulen, SH, Aben, KK, Galesloot, TE, Turman, C, De Vivo, I, Giovannucci, E, Hunter, DJ, Hohensee, C, Hunt, R, V. Patel, A, Huang, W-Y, Thorleifsson, G, Gago-Dominguez, M, Amiano, P, Golka, K, Stern, MC, Yan, W, Liu, J, Alfred, S, Katta, S, Hutchinson, A, Hicks, B, Wheeler, WA, Purdue, MP, McGlynn, KA, Kitahara, CM, Haiman, CA, Greene, MH, Rafnar, T, Chatterjee, N, Chanock, SJ, Wu, X, Real, FX, Silverman, DT, Garcia-Closas, M, Stefansson, K, Prokunina-Olsson, L, Malats, N, and Rothman, N

Abstract

BACKGROUND: Genomic regions identified by genome-wide association studies (GWAS) for bladder cancer risk provide new insights into etiology. OBJECTIVE: To identify new susceptibility variants for bladder cancer in a meta-analysis of new and existing genome-wide genotype data. DESIGN, SETTING, AND PARTICIPANTS: Data from 32 studies that includes 13,790 bladder cancer cases and 343,502 controls of European ancestry were used for meta-analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSES: Log-additive associations of genetic variants were assessed using logistic regression models. A fixed-effects model was used for meta-analysis of the results. Stratified analyses were conducted to evaluate effect modification by sex and smoking status. A polygenic risk score (PRS) was generated on the basis of known and novel susceptibility variants and tested for interaction with smoking. RESULTS AND LIMITATIONS: Multiple novel bladder cancer susceptibility loci (6p.22.3, 7q36.3, 8q21.13, 9p21.3, 10q22.1, 19q13.33) as well as improved signals in three known regions (4p16.3, 5p15.33, 11p15.5) were identified, bringing the number of independent markers at genome-wide significance (p < 5 × 10-8) to 24. The 4p16.3 (FGFR3/TACC3) locus was associated with a stronger risk for women than for men (p-interaction = 0.002). Bladder cancer risk was increased by interactions between smoking status and genetic variants at 8p22 (NAT2; multiplicative p value for interaction [pM-I] = 0.004), 8q21.13 (PAG1; pM-I = 0.01), and 9p21.3 (LOC107987026/MTAP/CDKN2A; pM-I = 0.02). The PRS based on the 24 independent GWAS markers (odds ratio per standard deviation increase 1.49, 95% confidence interval 1.44-1.53), which also showed comparable results in two prospective cohorts (UK Biobank, PLCO trial), revealed an approximately fourfold difference in the lifetime risk of bladder cancer according to the PRS (e.g., 1st vs 10th decile) for both smokers and nonsmokers. CONCLUSIONS: We report novel loci associated

Published
2023

21. Genome-wide Association Study of Bladder Cancer Reveals New Biological and Translational Insights.

Author

Koutros, S., Kiemeney, L.A., Pal Choudhury, P., Milne, R.L., Lopez de Maturana, E., Ye, Y., Joseph, V., Florez-Vargas, O., Dyrskjøt, L., Figueroa, J., Dutta, D., Giles, G.G., Hildebrandt, M.A.T., Offit, K., Kogevinas, M., Weiderpass, E., McCullough, M.L., Freedman, N.D., Albanes, D., Kooperberg, C., Cortessis, V.K., Karagas, M.R., Johnson, A., Schwenn, M.R., Baris, D., Furberg, H., Bajorin, D.F., Cussenot, O., Cancel-Tassin, G., Benhamou, S., Kraft, P., Porru, S., Carta, A., Bishop, T., Southey, M.C., Matullo, G., Fletcher, T., Kumar, R., Taylor, J.A., Lamy, P., Prip, F., Kalisz, M., Weinstein, S.J., Hengstler, J.G., Selinski, S., Harland, M., Teo, M., Kiltie, A.E., Tardón, A., Serra, C., Carrato, A., García-Closas, R., Lloreta, J., Schned, A., Lenz, P., Riboli, E., Brennan, P., Tjønneland, A., Otto, T., Ovsiannikov, D., Volkert, F., Vermeulen, S.H., Aben, K.K.H., Galesloot, T.E., Turman, C., Vivo, I. De, Giovannucci, E., Hunter, D.J., Hohensee, C., Hunt, R., Patel, A.V., Huang, W.Y., Thorleifsson, G., Gago-Dominguez, M., Amiano, P., Golka, K., Stern, M.C., Yan, W., Liu, J., Li, S.A., Katta, S., Hutchinson, A., Hicks, B., Wheeler, W.A., Purdue, M.P., McGlynn, K.A., Kitahara, C.M., Haiman, C.A., Greene, M.H., Rafnar, T., Chatterjee, N., Chanock, S.J., Wu, X., Real, F.X., Silverman, D.T., Garcia-Closas, M., Stefansson, K., Prokunina-Olsson, L., Malats, N., Rothman, N., Koutros, S., Kiemeney, L.A., Pal Choudhury, P., Milne, R.L., Lopez de Maturana, E., Ye, Y., Joseph, V., Florez-Vargas, O., Dyrskjøt, L., Figueroa, J., Dutta, D., Giles, G.G., Hildebrandt, M.A.T., Offit, K., Kogevinas, M., Weiderpass, E., McCullough, M.L., Freedman, N.D., Albanes, D., Kooperberg, C., Cortessis, V.K., Karagas, M.R., Johnson, A., Schwenn, M.R., Baris, D., Furberg, H., Bajorin, D.F., Cussenot, O., Cancel-Tassin, G., Benhamou, S., Kraft, P., Porru, S., Carta, A., Bishop, T., Southey, M.C., Matullo, G., Fletcher, T., Kumar, R., Taylor, J.A., Lamy, P., Prip, F., Kalisz, M., Weinstein, S.J., Hengstler, J.G., Selinski, S., Harland, M., Teo, M., Kiltie, A.E., Tardón, A., Serra, C., Carrato, A., García-Closas, R., Lloreta, J., Schned, A., Lenz, P., Riboli, E., Brennan, P., Tjønneland, A., Otto, T., Ovsiannikov, D., Volkert, F., Vermeulen, S.H., Aben, K.K.H., Galesloot, T.E., Turman, C., Vivo, I. De, Giovannucci, E., Hunter, D.J., Hohensee, C., Hunt, R., Patel, A.V., Huang, W.Y., Thorleifsson, G., Gago-Dominguez, M., Amiano, P., Golka, K., Stern, M.C., Yan, W., Liu, J., Li, S.A., Katta, S., Hutchinson, A., Hicks, B., Wheeler, W.A., Purdue, M.P., McGlynn, K.A., Kitahara, C.M., Haiman, C.A., Greene, M.H., Rafnar, T., Chatterjee, N., Chanock, S.J., Wu, X., Real, F.X., Silverman, D.T., Garcia-Closas, M., Stefansson, K., Prokunina-Olsson, L., Malats, N., and Rothman, N.

Abstract

01 juli 2023, Item does not contain fulltext, BACKGROUND: Genomic regions identified by genome-wide association studies (GWAS) for bladder cancer risk provide new insights into etiology. OBJECTIVE: To identify new susceptibility variants for bladder cancer in a meta-analysis of new and existing genome-wide genotype data. DESIGN, SETTING, AND PARTICIPANTS: Data from 32 studies that includes 13,790 bladder cancer cases and 343,502 controls of European ancestry were used for meta-analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSES: Log-additive associations of genetic variants were assessed using logistic regression models. A fixed-effects model was used for meta-analysis of the results. Stratified analyses were conducted to evaluate effect modification by sex and smoking status. A polygenic risk score (PRS) was generated on the basis of known and novel susceptibility variants and tested for interaction with smoking. RESULTS AND LIMITATIONS: Multiple novel bladder cancer susceptibility loci (6p.22.3, 7q36.3, 8q21.13, 9p21.3, 10q22.1, 19q13.33) as well as improved signals in three known regions (4p16.3, 5p15.33, 11p15.5) were identified, bringing the number of independent markers at genome-wide significance (p < 5 × 10(-8)) to 24. The 4p16.3 (FGFR3/TACC3) locus was associated with a stronger risk for women than for men (p-interaction = 0.002). Bladder cancer risk was increased by interactions between smoking status and genetic variants at 8p22 (NAT2; multiplicative p value for interaction [p(M-I)] = 0.004), 8q21.13 (PAG1; p(M-I) = 0.01), and 9p21.3 (LOC107987026/MTAP/CDKN2A; p(M-I) = 0.02). The PRS based on the 24 independent GWAS markers (odds ratio per standard deviation increase 1.49, 95% confidence interval 1.44-1.53), which also showed comparable results in two prospective cohorts (UK Biobank, PLCO trial), revealed an approximately fourfold difference in the lifetime risk of bladder cancer according to the PRS (e.g., 1st vs 10th decile) for both smokers and nonsmokers. CONCLUSIONS: We report novel loci ass

Published
2023

22. Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach

Author

Ferguson, R, Khosravi, H, Kovanović, V, Viberg, O, Aggarwal, A, Brinkhuis, M, Buckingham Shum, S, Chen, LK, Drachsler, H, Guerrero, VA, Hanses, M, Hayward, C, Hicks, B, Jivet, I, Kitto, K, Kizilcec, R, Lodge, JM, Manly, CA, Matz, RL, Meaney, MJ, Ochoa, X, Schuetze, BA, Spruit, M, Van Haastrecht, M, Van Leeuwen, A, Van Rijn, L, Tsai, Y-S, Weidlich, J, Williamson, K, Yan, VX, Ferguson, R, Khosravi, H, Kovanović, V, Viberg, O, Aggarwal, A, Brinkhuis, M, Buckingham Shum, S, Chen, LK, Drachsler, H, Guerrero, VA, Hanses, M, Hayward, C, Hicks, B, Jivet, I, Kitto, K, Kizilcec, R, Lodge, JM, Manly, CA, Matz, RL, Meaney, MJ, Ochoa, X, Schuetze, BA, Spruit, M, Van Haastrecht, M, Van Leeuwen, A, Van Rijn, L, Tsai, Y-S, Weidlich, J, Williamson, K, and Yan, VX

Abstract

NA

Published
2023

23. Using causal models to bridge the divide between big data and educational theory

Author

Kitto, K, Hicks, B, Buckingham Shum, S, Kitto, K, Hicks, B, and Buckingham Shum, S

Abstract

An extraordinary amount of data is becoming available in educational settings, collected from a wide range of Educational Technology tools and services. This creates opportunities for using methods from Artificial Intelligence and Learning Analytics (LA) to improve learning and the environments in which it occurs. And yet, analytics results produced using these methods often fail to link to theoretical concepts from the learning sciences, making them difficult for educators to trust, interpret and act upon. At the same time, many of our educational theories are difficult to formalise into testable models that link to educational data. New methodologies are required to formalise the bridge between big data and educational theory. This paper demonstrates how causal modelling can help to close this gap. It introduces the apparatus of causal modelling, and shows how it can be applied to well-known problems in LA to yield new insights. We conclude with a consideration of what causal modelling adds to the theory-versus-data debate in education, and extend an invitation to other investigators to join this exciting programme of research. Practitioner notes What is already known about this topic ‘Correlation does not equal causation’ is a familiar claim in many fields of research but increasingly we see the need for a causal understanding of our educational systems. Big data bring many opportunities for analysis in education, but also a risk that results will fail to replicate in new contexts. Causal inference is a well-developed approach for extracting causal relationships from data, but is yet to become widely used in the learning sciences. What this paper adds An overview of causal modelling to support educational data scientists interested in adopting this promising approach. A demonstration of how constructing causal models forces us to more explicitly specify the claims of educational theories. An understanding of how we can link educational datasets to theoretical con

Published
2023

24. GENOME‐WIDE ASSOCIATION STUDY OF CHILDHOOD BURKITT LYMPHOMA IN EAST AFRICA IDENTIFIES A NOVEL GERMLINE SUSCEPTIBILITY LOCUS ON CHROMOSOME 21

Author

Dutta, D., primary, Gorman, B., additional, Gouveia, M., additional, Ogwang, M. D., additional, Kerchan, P., additional, Reynolds, S. J., additional, Tenge, C. N., additional, Were, P. A., additional, Kuremu, R. T., additional, Wekesa, W. N., additional, Masalu, N., additional, Kawira, E., additional, Kinyera, T., additional, Otim, I., additional, Legason, I. D., additional, Nabalende, H., additional, Dhudha, H., additional, Mumia, M., additional, Ayers, L. W., additional, Bhatia, K., additional, Goedert, J. J., additional, Manning, M., additional, Cole, N., additional, Luo, W., additional, Hutchinson, A., additional, Hicks, B., additional, Chagaluka, G., additional, Johnston, W. T., additional, Mutalima, N., additional, Borgstein, E., additional, Liomba, G. N., additional, Kamiza, S., additional, Mkandawire, N., additional, Mitambo, C., additional, Molyneux, E., additional, Newton, R., additional, Glaser, S., additional, Kretzmer, H., additional, Adeyemo, A. A., additional, Rotimi, C. N., additional, Chanock, S. J., additional, Dean, M., additional, Siebert, R., additional, Yeager, M., additional, Prokunina‐Olsson, L., additional, and Mbulaiteye, S. M., additional

Published
2023
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26. Virtually Hosted Hackathons for Design Research: Lessons Learned from the International Design Engineering Annual (IDEA) Challenge 2021

Author

Goudswaard, M., Kent, L., Giunta, L., Gopsill, J, Snider, C., Valjak, F., Christensen, K. A., Felton, H., Ege, D. N., Real, R. M., Cox, C., Horvat, N., Kohtala, S., Eikevåg, S. W., Martinec, T., Perišić, M. M., Steinert, M., and Hicks, B.

Subjects
hackathons, design challenge, prototyping, design methods, design practice
Abstract

This paper provides an overview and appraisal of the International Design Engineering Annual (IDEA) challenge - a virtually hosted design hackathon run with the aim of generating a design research dataset that can provide insights into design activities at virtually hosted hackathons. The resulting dataset consists of 200+ prototypes with over 1300 connections providing insights into the products, processes and people involved in the design process. The paper also provides recommendations for future deployments of virtual hackathons for design research.

Published
2022
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27. Genetic analyses identify widespread sex-differential participation bias

Author

Pirastu N., Cordioli M., Nandakumar P., Mignogna G., Abdellaoui A., Hollis B., Kanai M., Rajagopal V. M., Parolo P. D. B., Baya N., Carey C. E., Karjalainen J., Als T. D., Van der Zee M. D., Day F. R., Ong K. K., Agee M., Aslibekyan S., Bell R. K., Bryc K., Clark S. K., Elson S. L., Fletez-Brant K., Fontanillas P., Furlotte N. A., Gandhi P. M., Heilbron K., Hicks B., Huber K. E., Jewett E. M., Jiang Y., Kleinman A., Lin K. -H., Litterman N. K., Luff M. K., McIntyre M. H., McManus K. F., Mountain J. L., Mozaffari S. V., Noblin E. S., Northover C. A. M., O'Connell J., Petrakovitz A. A., Pitts S. J., Poznik G. D., Sathirapongsasuti J. F., Shelton J. F., Shringarpure S., Tian C., Tung J. Y., Tunney R. J., Vacic V., Wang X., Zare A., Mortensen P. B., Mors O., Werge T., Nordentoft M., Hougaard D. M., Bybjerg-Grauholm J., Baekvad-Hansen M., Morisaki T., de Geus E., Bellocco R., Okada Y., Borglum A. D., Joshi P., Auton A., Hinds D., Neale B. M., Walters R. K., Nivard M. G., Perry J. R. B., Ganna A., Pirastu, N, Cordioli, M, Nandakumar, P, Mignogna, G, Abdellaoui, A, Hollis, B, Kanai, M, Rajagopal, V, Parolo, P, Baya, N, Carey, C, Karjalainen, J, Als, T, Van der Zee, M, Day, F, Ong, K, Agee, M, Aslibekyan, S, Bell, R, Bryc, K, Clark, S, Elson, S, Fletez-Brant, K, Fontanillas, P, Furlotte, N, Gandhi, P, Heilbron, K, Hicks, B, Huber, K, Jewett, E, Jiang, Y, Kleinman, A, Lin, K, Litterman, N, Luff, M, Mcintyre, M, Mcmanus, K, Mountain, J, Mozaffari, S, Noblin, E, Northover, C, O'Connell, J, Petrakovitz, A, Pitts, S, Poznik, G, Sathirapongsasuti, J, Shelton, J, Shringarpure, S, Tian, C, Tung, J, Tunney, R, Vacic, V, Wang, X, Zare, A, Mortensen, P, Mors, O, Werge, T, Nordentoft, M, Hougaard, D, Bybjerg-Grauholm, J, Baekvad-Hansen, M, Morisaki, T, de Geus, E, Bellocco, R, Okada, Y, Borglum, A, Joshi, P, Auton, A, Hinds, D, Neale, B, Walters, R, Nivard, M, Perry, J, Ganna, A, Biological Psychology, APH - Personalized Medicine, APH - Mental Health, and Adult Psychiatry

Subjects
Adult, Inheritance Pattern, Male, Sex Characteristics, Inheritance Patterns, Sex Characteristic, Polymorphism, Single Nucleotide, Article, United Kingdom, Bias, Genetic Loci, Sample Size, Bia, Artifact, Biological Specimen Bank, Humans, Chromosomes, Human, Female, Artifacts, Biological Specimen Banks, Genome-Wide Association Study, Human
Abstract

Genetic association results are often interpreted with the assumption that study participation does not affect downstream analyses. Understanding the genetic basis of participation bias is challenging since it requires the genotypes of unseen individuals. Here we demonstrate that it is possible to estimate comparative biases by performing a genome-wide association study contrasting one subgroup versus another. For example, we showed that sex exhibits artifactual autosomal heritability in the presence of sex-differential participation bias. By performing a genome-wide association study of sex in approximately 3.3 million males and females, we identified over 158 autosomal loci spuriously associated with sex and highlighted complex traits underpinning differences in study participation between the sexes. For example, the body mass index-increasing allele at FTO was observed at higher frequency in males compared to females (odds ratio = 1.02, P = 4.4 × 10-36). Finally, we demonstrated how these biases can potentially lead to incorrect inferences in downstream analyses and propose a conceptual framework for addressing such biases. Our findings highlight a new challenge that genetic studies may face as sample sizes continue to grow.

Published
2021
Full Text
View/download PDF

31. Genetic analyses identify widespread sex-differential participation bias

Author

Pirastu, N, Cordioli, M, Nandakumar, P, Mignogna, G, Abdellaoui, A, Hollis, B, Kanai, M, Rajagopal, V, Parolo, P, Baya, N, Carey, C, Karjalainen, J, Als, T, Van der Zee, M, Day, F, Ong, K, Agee, M, Aslibekyan, S, Bell, R, Bryc, K, Clark, S, Elson, S, Fletez-Brant, K, Fontanillas, P, Furlotte, N, Gandhi, P, Heilbron, K, Hicks, B, Huber, K, Jewett, E, Jiang, Y, Kleinman, A, Lin, K, Litterman, N, Luff, M, Mcintyre, M, Mcmanus, K, Mountain, J, Mozaffari, S, Noblin, E, Northover, C, O'Connell, J, Petrakovitz, A, Pitts, S, Poznik, G, Sathirapongsasuti, J, Shelton, J, Shringarpure, S, Tian, C, Tung, J, Tunney, R, Vacic, V, Wang, X, Zare, A, Mortensen, P, Mors, O, Werge, T, Nordentoft, M, Hougaard, D, Bybjerg-Grauholm, J, Baekvad-Hansen, M, Morisaki, T, de Geus, E, Bellocco, R, Okada, Y, Borglum, A, Joshi, P, Auton, A, Hinds, D, Neale, B, Walters, R, Nivard, M, Perry, J, Ganna, A, Pirastu N., Cordioli M., Nandakumar P., Mignogna G., Abdellaoui A., Hollis B., Kanai M., Rajagopal V. M., Parolo P. D. B., Baya N., Carey C. E., Karjalainen J., Als T. D., Van der Zee M. D., Day F. R., Ong K. K., Agee M., Aslibekyan S., Bell R. K., Bryc K., Clark S. K., Elson S. L., Fletez-Brant K., Fontanillas P., Furlotte N. A., Gandhi P. M., Heilbron K., Hicks B., Huber K. E., Jewett E. M., Jiang Y., Kleinman A., Lin K. -H., Litterman N. K., Luff M. K., McIntyre M. H., McManus K. F., Mountain J. L., Mozaffari S. V., Noblin E. S., Northover C. A. M., O'Connell J., Petrakovitz A. A., Pitts S. J., Poznik G. D., Sathirapongsasuti J. F., Shelton J. F., Shringarpure S., Tian C., Tung J. Y., Tunney R. J., Vacic V., Wang X., Zare A., Mortensen P. B., Mors O., Werge T., Nordentoft M., Hougaard D. M., Bybjerg-Grauholm J., Baekvad-Hansen M., Morisaki T., de Geus E., Bellocco R., Okada Y., Borglum A. D., Joshi P., Auton A., Hinds D., Neale B. M., Walters R. K., Nivard M. G., Perry J. R. B., Ganna A., Pirastu, N, Cordioli, M, Nandakumar, P, Mignogna, G, Abdellaoui, A, Hollis, B, Kanai, M, Rajagopal, V, Parolo, P, Baya, N, Carey, C, Karjalainen, J, Als, T, Van der Zee, M, Day, F, Ong, K, Agee, M, Aslibekyan, S, Bell, R, Bryc, K, Clark, S, Elson, S, Fletez-Brant, K, Fontanillas, P, Furlotte, N, Gandhi, P, Heilbron, K, Hicks, B, Huber, K, Jewett, E, Jiang, Y, Kleinman, A, Lin, K, Litterman, N, Luff, M, Mcintyre, M, Mcmanus, K, Mountain, J, Mozaffari, S, Noblin, E, Northover, C, O'Connell, J, Petrakovitz, A, Pitts, S, Poznik, G, Sathirapongsasuti, J, Shelton, J, Shringarpure, S, Tian, C, Tung, J, Tunney, R, Vacic, V, Wang, X, Zare, A, Mortensen, P, Mors, O, Werge, T, Nordentoft, M, Hougaard, D, Bybjerg-Grauholm, J, Baekvad-Hansen, M, Morisaki, T, de Geus, E, Bellocco, R, Okada, Y, Borglum, A, Joshi, P, Auton, A, Hinds, D, Neale, B, Walters, R, Nivard, M, Perry, J, Ganna, A, Pirastu N., Cordioli M., Nandakumar P., Mignogna G., Abdellaoui A., Hollis B., Kanai M., Rajagopal V. M., Parolo P. D. B., Baya N., Carey C. E., Karjalainen J., Als T. D., Van der Zee M. D., Day F. R., Ong K. K., Agee M., Aslibekyan S., Bell R. K., Bryc K., Clark S. K., Elson S. L., Fletez-Brant K., Fontanillas P., Furlotte N. A., Gandhi P. M., Heilbron K., Hicks B., Huber K. E., Jewett E. M., Jiang Y., Kleinman A., Lin K. -H., Litterman N. K., Luff M. K., McIntyre M. H., McManus K. F., Mountain J. L., Mozaffari S. V., Noblin E. S., Northover C. A. M., O'Connell J., Petrakovitz A. A., Pitts S. J., Poznik G. D., Sathirapongsasuti J. F., Shelton J. F., Shringarpure S., Tian C., Tung J. Y., Tunney R. J., Vacic V., Wang X., Zare A., Mortensen P. B., Mors O., Werge T., Nordentoft M., Hougaard D. M., Bybjerg-Grauholm J., Baekvad-Hansen M., Morisaki T., de Geus E., Bellocco R., Okada Y., Borglum A. D., Joshi P., Auton A., Hinds D., Neale B. M., Walters R. K., Nivard M. G., Perry J. R. B., and Ganna A.

Abstract

Genetic association results are often interpreted with the assumption that study participation does not affect downstream analyses. Understanding the genetic basis of participation bias is challenging since it requires the genotypes of unseen individuals. Here we demonstrate that it is possible to estimate comparative biases by performing a genome-wide association study contrasting one subgroup versus another. For example, we showed that sex exhibits artifactual autosomal heritability in the presence of sex-differential participation bias. By performing a genome-wide association study of sex in approximately 3.3 million males and females, we identified over 158 autosomal loci spuriously associated with sex and highlighted complex traits underpinning differences in study participation between the sexes. For example, the body mass index–increasing allele at FTO was observed at higher frequency in males compared to females (odds ratio = 1.02, P = 4.4 × 10−36). Finally, we demonstrated how these biases can potentially lead to incorrect inferences in downstream analyses and propose a conceptual framework for addressing such biases. Our findings highlight a new challenge that genetic studies may face as sample sizes continue to grow.

Published
2021

38. Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Author

Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S.M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., Jiang, Yunxuan, Hicks, B., Tian, C., Hinds, D.A., Ahlskog, R., Magnusson, P.K., Oskarsson, S., Hayward, C., Campbell, A., Porteous, D.J., Freese, J., Herd, P., Watson, C., Jala, J., Conley, D., Koellinger, P.D., Johannesson, M., Laibson, D., Meyer, M.N., Lee, J.J., Kong, A., Yengo, L., Cesarini, D., Turley, P., Visscher, P.M., Beauchamp, J.P., Franke, B., Kiemeney, L.A.L.M., Benjamin, D.J., Young, A.I., Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S.M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., Jiang, Yunxuan, Hicks, B., Tian, C., Hinds, D.A., Ahlskog, R., Magnusson, P.K., Oskarsson, S., Hayward, C., Campbell, A., Porteous, D.J., Freese, J., Herd, P., Watson, C., Jala, J., Conley, D., Koellinger, P.D., Johannesson, M., Laibson, D., Meyer, M.N., Lee, J.J., Kong, A., Yengo, L., Cesarini, D., Turley, P., Visscher, P.M., Beauchamp, J.P., Franke, B., Kiemeney, L.A.L.M., Benjamin, D.J., and Young, A.I.

Abstract

Contains fulltext : 252184.pdf (Publisher’s version ) (Open Access), We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half the PGI's magnitude of association with EA and other phenotypes. The correlation between mate-pair PGIs is far too large to be consistent with phenotypic assortment alone, implying additional assortment on PGI-associated factors. In an additional GWAS of dominance deviations from the additive model, we identify no genome-wide-significant SNPs, and a separate X-chromosome additive GWAS identifies 57.

Published
2022

39. Thinking with causal models: A visual formalism for collaboratively crafting assumptions

Author

Hicks, B, Kitto, K, Payne, L, Buckingham Shum, S, Hicks, B, Kitto, K, Payne, L, and Buckingham Shum, S

Abstract

Learning Analytics (LA) is a bricolage field that requires a concerted effort to ensure that all stakeholders it affects are able to contribute to its development in a meaningful manner. We need mechanisms that support collaborative sense-making. This paper argues that graphical causal models can help us to span the disciplinary divide, providing a new apparatus to help educators understand, and potentially challenge, the technical models developed by LA practitioners as they form. We briefly introduce causal modelling, highlighting its potential benefits in helping the field to move from associations to causal claims, and illustrate how graphical causal models can help us to reason about complex statistical models. The approach is illustrated by applying it to the well known problem of at-risk modelling.

Published
2022

47. Genome-wide association study of REM sleep behavior disorder identifies polygenic risk and brain expression effects

Author

Krohn, L., Heilbron, K., Blauwendraat, C., Reynolds, R. H., Yu, E., Senkevich, K., Rudakou, U., Estiar, M. A., Gustavsson, E. K., Brolin, K., Ruskey, J. A., Freeman, K., Asayesh, F., Chia, R., Arnulf, I., M. T. M., Hu, Montplaisir, J. Y., Gagnon, J. -F., Desautels, A., Dauvilliers, Y., Gigli, G. L., Valente, M., Janes, F., Bernardini, A., Hogl, B., Stefani, A., Ibrahim, A., Sonka, K., Kemlink, D., Oertel, W., Janzen, A., Plazzi, G., Biscarini, F., Antelmi, E., Figorilli, M., Puligheddu, M., Mollenhauer, B., Trenkwalder, C., Sixel-Doring, F., Cochen De Cock, V., Monaca, C. C., Heidbreder, A., Ferini-Strambi, L., Dijkstra, F., Viaene, M., Abril, B., Boeve, B. F., Aslibekyan, S., Auton, A., Babalola, E., Bell, R. K., Bielenberg, J., Bryc, K., Bullis, E., Coker, D., Partida, G. C., Dhamija, D., Das, S., Elson, S. L., Filshtein, T., Fletez-Brant, K., Fontanillas, P., Freyman, W., Gandhi, P. M., Hicks, B., Hinds, D. A., Jewett, E. M., Jiang, Y., Kukar, K., Lin, K. -H., Lowe, M., Mccreight, J. C., Mcintyre, M. H., Micheletti, S. J., Moreno, M. E., Mountain, J. L., Nandakumar, P., Noblin, E. S., O'Connell, J., Petrakovitz, A. A., Poznik, G. D., Schumacher, M., Shastri, A. J., Shelton, J. F., Shi, J., Shringarpure, S., Tran, V., Tung, J. Y., Wang, X., Wang, W., Weldon, C. H., Wilton, P., Hernandez, A., Wong, C., Tchakoute, C. T., Scholz, S. W., Ryten, M., Bandres-Ciga, S., Noyce, A., Cannon, P., Pihlstrom, L., Nalls, M. A., Singleton, A. B., Rouleau, G. A., Postuma, R. B., Gan-Or, Z., and 23andMe Research Team

Subjects
Multidisciplinary, Risk factors, General Physics and Astronomy, Genomics, General Chemistry, Human medicine, Genome-wide association studies, General Biochemistry, Genetics and Molecular Biology
Abstract

Rapid-eye movement (REM) sleep behavior disorder (RBD), enactment of dreams during REM sleep, is an early clinical symptom of alpha-synucleinopathies and defines a more severe subtype. The genetic background of RBD and its underlying mechanisms are not well understood. Here, we perform a genome-wide association study of RBD, identifying five RBD risk loci near SNCA, GBA, TMEM175, INPP5F, and SCARB2. Expression analyses highlight SNCA-AS1 and potentially SCARB2 differential expression in different brain regions in RBD, with SNCA-AS1 further supported by colocalization analyses. Polygenic risk score, pathway analysis, and genetic correlations provide further insights into RBD genetics, highlighting RBD as a unique alpha-synucleinopathy subpopulation that will allow future early intervention. REM-sleep behavior disorder often precedes Parkinson's disease or dementia. Here, the authors perform a genome-wide association study for REM-sleep behavior disorder, and discover how it potentially affects gene expression in the brain.

Published
2022

48. Measurement of quarkonium production at forward rapidity in s = 7 TeV

Author

Abelev, B., Adam, J., Adamová, D., Aggarwal, M. M., Agnello, M., Agostinelli, A., Agrawal, N., Ahammed, Z., Ahmad, N., Ahmad Masoodi, A., Ahmed, I., Ahn, S. U., Ahn, S. A., Aimo, I., Aiola, S., Ajaz, M., Akindinov, A., Aleksandrov, D., Alessandro, B., Alexandre, D., Alici, A., Alkin, A., Alme, J., Alt, T., Altini, V., Altinpinar, S., Altsybeev, I., Alves Garcia Prado, C., Andrei, C., Andronic, A., Anguelov, V., Anielski, J., Antičić, T., Antinori, F., Antonioli, P., Aphecetche, L., Appelshäuser, H., Arbor, N., Arcelli, S., Armesto, N., Arnaldi, R., Aronsson, T., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Awes, T. C., Azmi, M. D., Bach, M., Badalà, A., Baek, Y. W., Bagnasco, S., Bailhache, R., Bala, R., Baldisseri, A., Baltasar Dos Santos Pedrosa, F., Baral, R. C., Barbera, R., Barile, F., Barnaföldi, G. G., Barnby, L. S., Barret, V., Bartke, J., Basile, M., Bastid, N., Basu, S., Bathen, B., Batigne, G., Batyunya, B., Batzing, P. C., Baumann, C., Bearden, I. G., Beck, H., Bedda, C., Behera, N. K., Belikov, I., Bellini, F., Bellwied, R., Belmont-Moreno, E., Bencedi, G., Beole, S., Berceanu, I., Bercuci, A., Berdnikov, Y., Berenyi, D., Bertens, R. A., Berzano, D., Betev, L., Bhasin, A., Bhat, I. R., Bhati, A. K., Bhattacharjee, B., Bhom, J., Bianchi, L., Bianchi, N., Bianchin, C., Bielčík, J., Bielčíková, J., Bilandzic, A., Bjelogrlic, S., Blanco, F., Blau, D., Blume, C., Bock, F., Bogdanov, A., Bøggild, H., Bogolyubsky, M., Boldizsár, L., Bombara, M., Book, J., Borel, H., Borissov, A., Bossú, F., Botje, M., Botta, E., Böttger, S., Braun-Munzinger, P., Bregant, M., Breitner, T., Broker, T. A., Browning, T. A., Broz, M., Bruna, E., Bruno, G. E., Budnikov, D., Buesching, H., Bufalino, S., Buncic, P., Busch, O., Buthelezi, Z., Caffarri, D., Cai, X., Caines, H., Caliva, A., Calvo Villar, E., Camerini, P., Carena, F., Carena, W., Castillo Castellanos, J., Casula, E. A. R., Catanescu, V., Cavicchioli, C., Ceballos Sanchez, C., Cepila, J., Cerello, P., Chang, B., Chapeland, S., Charvet, J. L., Chattopadhyay, S., Chattopadhyay, S., Chelnokov, V., Cherney, M., Cheshkov, C., Cheynis, B., Chibante Barroso, V., Chinellato, D. D., Chochula, P., Chojnacki, M., Choudhury, S., Christakoglou, P., Christensen, C. H., Christiansen, P., Chujo, T., Chung, S. U., Cicalo, C., Cifarelli, L., Cindolo, F., Cleymans, J., Colamaria, F., Colella, D., Collu, A., Colocci, M., Conesa Balbastre, G., Conesa del Valle, Z., Connors, M. E., Contreras, J. G., Cormier, T. M., Corrales Morales, Y., Cortese, P., Cortés Maldonado, I., Cosentino, M. R., Costa, F., Crochet, P., Cruz Albino, R., Cuautle, E., Cunqueiro, L., Dainese, A., Dang, R., Danu, A., Das, D., Das, I., Das, K., Das, S., Dash, A., Dash, S., De, S., Delagrange, H., Deloff, A., Dénes, E., D’Erasmo, G., De Caro, A., de Cataldo, G., de Cuveland, J., De Falco, A., De Gruttola, D., De Marco, N., De Pasquale, S., de Rooij, R., Diaz Corchero, M. A., Dietel, T., Divià, R., Di Bari, D., Di Liberto, S., Di Mauro, A., Di Nezza, P., Djuvsland, Ø., Dobrin, A., Dobrowolski, T., Domenicis Gimenez, D., Dönigus, B., Dordic, O., Dubey, A. K., Dubla, A., Ducroux, L., Dupieux, P., Dutta Majumdar, A. K., Ehlers, R. J., Elia, D., Engel, H., Erazmus, B., Erdal, H. A., Eschweiler, D., Espagnon, B., Esposito, M., Estienne, M., Esumi, S., Evans, D., Evdokimov, S., Fabris, D., Faivre, J., Falchieri, D., Fantoni, A., Fasel, M., Fehlker, D., Feldkamp, L., Felea, D., Feliciello, A., Feofilov, G., Ferencei, J., Fernández Téllez, A., Ferreiro, E. 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C., Lenti, V., Leogrande, E., Leoncino, M., León Monzón, I., Lévai, P., Li, S., Lien, J., Lietava, R., Lindal, S., Lindenstruth, V., Lippmann, C., Lisa, M. A., Ljunggren, H. M., Lodato, D. F., Loenne, P. I., Loggins, V. R., Loginov, V., Lohner, D., Loizides, C., Lopez, X., López Torres, E., Lu, X.-G., Luettig, P., Lunardon, M., Luo, J., Luparello, G., Luzzi, C., Ma, R., Maevskaya, A., Mager, M., Mahapatra, D. P., Maire, A., Majka, R. D., Malaev, M., Maldonado Cervantes, I., Malinina, L., Mal’Kevich, D., Malzacher, P., Mamonov, A., Manceau, L., Manko, V., Manso, F., Manzari, V., Marchisone, M., Mareš, J., Margagliotti, G. V., Margotti, A., Marín, A., Markert, C., Marquard, M., Martashvili, I., Martin, N. A., Martinengo, P., Martínez, M. I., Martínez García, G., Martin Blanco, J., Martynov, Y., Mas, A., Masciocchi, S., Masera, M., Masoni, A., Massacrier, L., Mastroserio, A., Matyja, A., Mayer, C., Mazer, J., Mazzoni, M. 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2014
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