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1. Pitfalls in surveillance for hepatocellular carcinoma: How successful is it in the real world?

Author

Linda L. Wong, Ruel J. Reyes, Sandi A. Kwee, Brenda Y. Hernandez, Sumodh C. Kalathil, and Naoky C. Tsai

Subjects
Carcinoma, Hepatocellular, Early detection of cancer, Population surveillance, Ultrasonography, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Background/Aims Surveillance for hepatocellular carcinoma (HCC) with ultrasound in high-risk populations is generally believed to improve opportunities for treatment. However, tumors are still missed due to various factors. This study explores success versus failure of HCC surveillance. Methods This is a retrospective study of 1,125 HCC cases. Categories considered for successful detection were largest tumor ≤3.0 cm, single tumors ≤3.0 cm and ≤2.0 cm, and adherence to Milan criteria. Examined factors were age

Published
2017
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6. Development and evaluation of cognitive game application for Filipino elderlies: A Design - Based Research.

Author

Fallesgon, Ruth Mary P. and Fallesgon, Ruel J.

Subjects
TECHNOLOGY Acceptance Model, OLDER people, MOBILE apps, MOBILE games, COGNITIVE ability
Abstract

Many types of research exposed those games have been pointed out as training interventions to remediate cognitive decline among elderlies. In this study, the game apps were casual games that covered the cognitive domains: affect attention, executive functioning, memory, language, and visuospatial function. The participants tested the game which is in real-world scenarios with different variables. Various components of the design were refined by the developer using Design-Based Research composed of two cycles. It involves: ((I) Evaluating whether the game environment was accepted with the structure of cognitive training and exploring suggestions for its redesign to improve the usability; and (II) Designing and testing the game app to verify and refine its context and usability. Using Davis's Technology Acceptance Model (TAM) questionnaire, the fifteen elderly participants agreed on its usefulness and ease of use. They showed a positive attitude and intentions toward using it. However, evaluation from the game developers proposed some more enhancements on an interface, interaction, and feedback mechanisms. This study suggests that the game app's efficacy as a cognitive enhancer may be tested on a larger scale and more prolonged period. [ABSTRACT FROM AUTHOR]

Published
2022

7. Dusty starburst galaxies in the early Universe as revealed by gravitational lensing

Author

Vieira, J. D., Marrone, D. P., Chapman, S. C., De Breuck, C., Hezaveh, Y. D., Wei, A., Aguirre, J. E., Aird, K. A., Aravena, M., Ashby, M. L. N., Bayliss, M., Benson, B. A., Biggs, A. D., Bleem, L. E., Bock, J. J., Bothwell, M., Bradford, C. M., Brodwin, M., Carlstrom, J. E., Chang, C. L., Crawford, T. M., Crites, A. T., de Haan, T., Dobbs, M. A., Fomalont, E. B., Fassnacht, C. D., George, E. M., Gladders, M. D., Gonzalez, A. H., Greve, T. R., Gullberg, B., Halverson, N. W., High, F. W., Holder, G. P., Holzapfel, W. L., Hoover, S., Hrubes, J. D., Hunter, T. R., Keisler, R., Lee, A. T., Leitch, E. M., Lueker, M., Luong-Van, D., Malkan, M., McIntyre, V., McMahon, J. J., Mehl, J., Menten, K. M., Meyer, S. S., Mocanu, L. M., Murphy, E. J., Natoli, T., Padin, S., Plagge, T., Reichardt, C. L., Rest, A., Ruel, J., Ruhl, J. E., Sharon, K., Schaffer, K. K., Shaw, L., Shirokoff, E., Spilker, J. S., Stalder, B., Staniszewski, Z., Stark, A. A., Story, K., Vanderlinde, K., Welikala, N., and Williamson, R.

Published
2013
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8. A massive, cooling-flow-induced starburst in the core of a luminous cluster of galaxies

Author

McDonald, M., Bayliss, M., Benson, B. A., Foley, R. J., Ruel, J., Sullivan, P., Veilleux, S., Aird, K. A., Ashby, M. L. N., Bautz, M., Bazin, G., Bleem, L. E., Brodwin, M., Carlstrom, J. E., Chang, C. L., Cho, H. M., Clocchiatti, A., Crawford, T. M., Crites, A. T., de Haan, T., Desai, S., Dobbs, M. A., Dudley, J. P., Egami, E., Forman, W. R., Garmire, G. P., George, E. M., Gladders, M. D., Gonzalez, A. H., Halverson, N. W., Harrington, N. L., High, F. W., Holder, G. P., Holzapfel, W. L., Hoover, S., Hrubes, J. D., Jones, C., Joy, M., Keisler, R., Knox, L., Lee, A. T., Leitch, E. M., Liu, J., Lueker, M., Luong-Van, D., Mantz, A., Marrone, D. P., McMahon, J. J., Mehl, J., Meyer, S. S., Miller, E. D., Mocanu, L., Mohr, J. J., Montroy, T. E., Murray, S. S., Natoli, T., Padin, S., Plagge, T., Pryke, C., Rawle, T. D., Reichardt, C. L., Rest, A., Rex, M., Ruhl, J. E., Saliwanchik, B. R., Saro, A., Sayre, J. T., Schaffer, K. K., Shaw, L., Shirokoff, E., Simcoe, R., Song, J., Spieler, H. G., Stalder, B., Staniszewski, Z., Stark, A. A., Story, K., Stubbs, C. W., Šuhada, R., van Engelen, A., Vanderlinde, K., Vieira, J. D., Vikhlinin, A., Williamson, R., Zahn, O., and Zenteno, A.

Published
2012
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11. A Massive, Cooling-Flow-Induced Starburst in the Core of a Highly Luminous Galaxy Cluster

Author

McDonald, M, Bayliss, M, Benson, B. A, Foley, R. J, Ruel, J, Sullivan, P, Veilleux, S, Aird, K. A, Ashby, M. L. N, Bautz, M, Bazin, G, Bleem, L. E, Brodwin, M, Carlstrom, J. E, Chang, C. L, Cho, H. M, Clocchiatti, A, Crawford, T. M, Crites, A. T, deHaan, T, Desai, S, Dobbs, M. A, Dudley, J. P, Egami, E, and Joy, M

Subjects
Astrophysics
Abstract

In the cores of some galaxy clusters the hot intracluster plasma is dense enough that it should cool radiatively in the cluster s lifetime, leading to continuous "cooling flows" of gas sinking towards the cluster center, yet no such cooling flow has been observed. The low observed star formation rates and cool gas masses for these "cool core" clusters suggest that much of the cooling must be offset by astrophysical feedback to prevent the formation of a runaway cooling flow. Here we report X-ray, optical, and infrared observations of the galaxy cluster SPT-CLJ2344-4243 at z = 0.596. These observations reveal an exceptionally luminous (L(sub 2-10 keV) = 8.2 10(exp 45) erg/s) galaxy cluster which hosts an extremely strong cooling flow (M(sub cool) = 3820 +/- 530 Stellar Mass/yr). Further, the central galaxy in this cluster appears to be experiencing a massive starburst (740 +/- 160 Stellar Mass/ yr), which suggests that the feedback source responsible for preventing runaway cooling in nearby cool core clusters may not yet be fully established in SPT-CLJ2344-4243. This large star formation rate implies that a significant fraction of the stars in the central galaxy of this cluster may form via accretion of the intracluster medium, rather than the current picture of central galaxies assembling entirely via mergers.

Published
2012
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19. The database of the Predicts (Projecting responses of ecological diversity in changing terrestrial systems) project

Author

Hudson, LN, Newbold, T, Contu, S, Hill, SLL, Lysenko, I, De Palma, A, Phillips, HRP, Alhusseini, TI, Bedford, FE, Bennett, DJ, Booth, H, Burton, VJ, Chng, CWT, Choimes, A, Correia, DLP, Day, J, Echeverría-Londoño, S, Emerson, SR, Gao, D, Garon, M, Harrison, MLK, Ingram, DJ, Jung, M, Kemp, V, Kirkpatrick, L, Martin, CD, Pan, Y, Pask-Hale, GD, Pynegar, EL, Robinson, AN, Sanchez-Ortiz, K, Senior, RA, Simmons, BI, White, HJ, Zhang, H, Aben, J, Abrahamczyk, S, Adum, GB, Aguilar-Barquero, V, Aizen, MA, Albertos, B, Alcala, EL, del Mar Alguacil, M, Alignier, A, Ancrenaz, M, Andersen, AN, Arbeláez-Cortés, E, Armbrecht, I, Arroyo-Rodríguez, V, Aumann, T, Axmacher, JC, Azhar, B, Azpiroz, AB, Baeten, L, Bakayoko, A, Báldi, A, Banks, JE, Baral, SK, Barlow, J, Barratt, BIP, Barrico, L, Bartolommei, P, Barton, DM, Basset, Y, Batáry, P, Bates, AJ, Baur, B, Bayne, EM, Beja, P, Benedick, S, Berg, Å, Bernard, H, Berry, NJ, Bhatt, D, Bicknell, JE, Bihn, JH, Blake, RJ, Bobo, KS, Bóçon, R, Boekhout, T, Böhning-Gaese, K, Bonham, KJ, Borges, PAV, Borges, SH, Boutin, C, Bouyer, J, Bragagnolo, C, Brandt, JS, Brearley, FQ, Brito, I, Bros, V, Brunet, J, Buczkowski, G, Buddle, CM, Bugter, R, Buscardo, E, Buse, J, Cabra-García, J, Cáceres, NC, Cagle, NL, Calviño-Cancela, M, Cameron, SA, Cancello, EM, Caparrós, R, Cardoso, P, Carpenter, D, Carrijo, TF, Carvalho, AL, Cassano, CR, Castro, H, Castro-Luna, AA, Rolando, CB, Cerezo, A, Chapman, KA, Chauvat, M, Christensen, M, Clarke, FM, Cleary, DFR, Colombo, G, Connop, SP, Craig, MD, Cruz-López, L, Cunningham, SA, D'Aniello, B, D'Cruze, N, da Silva, PG, Dallimer, M, Danquah, E, Darvill, B, Dauber, J, Davis, ALV, Dawson, J, de Sassi, C, de Thoisy, B, Deheuvels, O, Dejean, A, Devineau, J-L, Diekötter, T, Dolia, JV, Domínguez, E, Dominguez-Haydar, Y, Dorn, S, Draper, I, Dreber, N, Dumont, B, Dures, SG, Dynesius, M, Edenius, L, Eggleton, P, Eigenbrod, F, Elek, Z, Entling, MH, Esler, KJ, de Lima, RF, Faruk, A, Farwig, N, Fayle, TM, Felicioli, A, Felton, AM, Fensham, RJ, Fernandez, IC, Ferreira, CC, Ficetola, GF, Fiera, C, Filgueiras, BKC, Fırıncıoğlu, HK, Flaspohler, D, Floren, A, Fonte, SJ, Fournier, A, Fowler, RE, Franzén, M, Fraser, LH, Fredriksson, GM, Freire, GB, Frizzo, TLM, Fukuda, D, Furlani, D, Gaigher, R, Ganzhorn, JU, García, KP, Garcia-R, JC, Garden, JG, Garilleti, R, Ge, B-M, Gendreau-Berthiaume, B, Gerard, PJ, Gheler-Costa, C, Gilbert, B, Giordani, P, Giordano, S, Golodets, C, Gomes, LGL, Gould, RK, Goulson, D, Gove, AD, Granjon, L, Grass, I, Gray, CL, Grogan, J, Gu, W, Guardiola, M, Gunawardene, NR, Gutierrez, AG, Gutiérrez-Lamus, DL, Haarmeyer, DH, Hanley, ME, Hanson, T, Hashim, NR, Hassan, SN, Hatfield, RG, Hawes, JE, Hayward, MW, Hébert, C, Helden, AJ, Henden, J-A, Henschel, P, Hernández, L, Herrera, JP, Herrmann, F, Herzog, F, Higuera-Diaz, D, Hilje, B, Höfer, H, Hoffmann, A, Horgan, FG, Hornung, E, Horváth, R, Hylander, K, Isaacs-Cubides, P, Ishida, H, Ishitani, M, Jacobs, CT, Jaramillo, VJ, Jauker, B, Hernández, FJ, Johnson, MF, Jolli, V, Jonsell, M, Juliani, SN, Jung, TS, Kapoor, V, Kappes, H, Kati, V, Katovai, E, Kellner, K, Kessler, M, Kirby, KR, Kittle, AM, Knight, ME, Knop, E, Kohler, F, Koivula, M, Kolb, A, Kone, M, Kőrösi, Á, Krauss, J, Kumar, A, Kumar, R, Kurz, DJ, Kutt, AS, Lachat, T, Lantschner, V, Lara, F, Lasky, JR, Latta, SC, Laurance, WF, Lavelle, P, Le Féon, V, LeBuhn, G, Légaré, J-P, Lehouck, V, Lencinas, MV, Lentini, PE, Letcher, SG, Li, Q, Litchwark, SA, Littlewood, NA, Liu, Y, Lo-Man-Hung, N, López-Quintero, CA, Louhaichi, M, Lövei, GL, Lucas-Borja, ME, Luja, VH, Luskin, MS, MacSwiney G, MC, Maeto, K, Magura, T, Mallari, NA, Malone, LA, Malonza, PK, Malumbres-Olarte, J, Mandujano, S, Måren, IE, Marin-Spiotta, E, Marsh, CJ, Marshall, EJP, Martínez, E, Martínez Pastur, G, Moreno Mateos, D, Mayfield, MM, Mazimpaka, V, McCarthy, JL, McCarthy, KP, McFrederick, QS, McNamara, S, Medina, NG, Medina, R, Mena, JL, Mico, E, Mikusinski, G, Milder, JC, Miller, JR, Miranda-Esquivel, DR, Moir, ML, Morales, CL, Muchane, MN, Muchane, M, Mudri-Stojnic, S, Munira, AN, Muoñz-Alonso, A, Munyekenye, BF, Naidoo, R, Naithani, A, Nakagawa, M, Nakamura, A, Nakashima, Y, Naoe, S, Nates-Parra, G, Navarrete Gutierrez, DA, Navarro-Iriarte, L, Ndang'ang'a, PK, Neuschulz, EL, Ngai, JT, Nicolas, V, Nilsson, SG, Noreika, N, Norfolk, O, Noriega, JA, Norton, DA, Nöske, NM, Nowakowski, AJ, Numa, C, O'Dea, N, O'Farrell, PJ, Oduro, W, Oertli, S, Ofori-Boateng, C, Oke, CO, Oostra, V, Osgathorpe, LM, Otavo, SE, Page, NV, Paritsis, J, Parra-H, A, Parry, L, Pe'er, G, Pearman, PB, Pelegrin, N, Pélissier, R, Peres, CA, Peri, PL, Persson, AS, Petanidou, T, Peters, MK, Pethiyagoda, RS, Phalan, B, Philips, TK, Pillsbury, FC, Pincheira-Ulbrich, J, Pineda, E, Pino, J, Pizarro-Araya, J, Plumptre, AJ, Poggio, SL, Politi, N, Pons, P, Poveda, K, Power, EF, Presley, SJ, Proença, V, Quaranta, M, Quintero, C, Rader, R, Ramesh, BR, Ramirez-Pinilla, MP, Ranganathan, J, Rasmussen, C, Redpath-Downing, NA, Reid, JL, Reis, YT, Rey Benayas, JM, Rey-Velasco, JC, Reynolds, C, Ribeiro, DB, Richards, MH, Richardson, BA, Richardson, MJ, Ríos, RM, Robinson, R, Robles, CA, Römbke, J, Romero-Duque, LP, Rös, M, Rosselli, L, Rossiter, SJ, Roth, DS, Roulston, TH, Rousseau, L, Rubio, AV, Ruel, J-C, Sadler, JP, Sáfián, S, Saldaña-Vázquez, RA, Sam, K, Samnegård, U, Santana, J, Santos, X, Savage, J, Schellhorn, NA, Schilthuizen, M, Schmiedel, U, Schmitt, CB, Schon, NL, Schüepp, C, Schumann, K, Schweiger, O, Scott, DM, Scott, KA, Sedlock, JL, Seefeldt, SS, Shahabuddin, G, Shannon, G, Sheil, D, Sheldon, FH, Shochat, E, Siebert, SJ, Silva, FAB, Simonetti, JA, Slade, EM, Smith, J, Smith-Pardo, AH, Sodhi, NS, Somarriba, EJ, Sosa, RA, Soto Quiroga, G, St-Laurent, M-H, Starzomski, BM, Stefanescu, C, Steffan-Dewenter, I, Stouffer, PC, Stout, JC, Strauch, AM, Struebig, MJ, Su, Z, Suarez-Rubio, M, Sugiura, S, Summerville, KS, Sung, Y-H, Sutrisno, H, Svenning, J-C, Teder, T, Threlfall, CG, Tiitsaar, A, Todd, JH, Tonietto, RK, Torre, I, Tóthmérész, B, Tscharntke, T, Turner, EC, Tylianakis, JM, Uehara-Prado, M, Urbina-Cardona, N, Vallan, D, Vanbergen, AJ, Vasconcelos, HL, Vassilev, K, Verboven, HAF, Verdasca, MJ, Verdú, JR, Vergara, CH, Vergara, PM, Verhulst, J, Virgilio, M, Vu, LV, Waite, EM, Walker, TR, Wang, H-F, Wang, Y, Watling, JI, Weller, B, Wells, K, Westphal, C, Wiafe, ED, Williams, CD, Willig, MR, Woinarski, JCZ, Wolf, JHD, Wolters, V, Woodcock, BA, Wu, J, Wunderle, JM, Yamaura, Y, Yoshikura, S, Yu, DW, Zaitsev, AS, Zeidler, J, Zou, F, Collen, B, Ewers, RM, Mace, GM, Purves, DW, Scharlemann, JPW, Purvis, A, The Natural History Museum [London] (NHM), United Nations Environment Programme World Conservation Monitoring Centre, Department of Genetics, Evolution and Environment, Centre for Biodiversity and Environment, Research, University College of London [London] (UCL), Department of Life Sciences [Trieste], Università degli studi di Trieste, Imperial College London, Department of Zoology, Auburn University (AU), Frankfurt Zoological Society, Science and Solutions for a Changing Planet DTP and the Department of Life Sciences, Centre d’étude de la forêt, Université Laval, School of Life Sciences, University of Sussex, School of Biological Sciences [London], Queen Mary University of London (QMUL), School of Biological and Ecological Sciences, University of Stirling, School of Biological Sciences [Egham), Royal Holloway [University of London] (RHUL), School of Environment, Natural Resources and Geography, Bangor University, University College London (UCL), School of Biological Sciences [Clayton], Monash University [Clayton], Institute of Biological and Environmental Sciences, (SFIRC), Evolutionary Ecology Group, University of Antwerp (UA), Nees Institute for Plant Biodiversity, Rheinische Friedrich-Wilhelms-Universität Bonn, Wildlife and Range Management Department, Faculty of Renewable Natural Resources, College of Agriculture and Natural Resources (CANR), Kwame Nkrumah University of Science and Technology (KNUST), Save the frogs!, Escuela de Biología, Universidad Nacional de Costa Rica, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente [Bariloche] (INIBIOMA-CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Universidad Nacional del Comahue [Neuquén] (UNCOMA), Departamento de Botánica, Facultad de Farmacia, Universidad de Valencia, Marine Laboratory, Silliman University-Angelo King Center for Research and Environmental Management, Silliman University, Department of Soil and Water Conservation, Centro de Edafologia y Biologia Aplicada del Segura, SAD Paysage (SAD Paysage), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Dynamiques Forestières dans l'Espace Rural (DYNAFOR), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA), Unité Mixte de Recherches sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Abeilles et Environnement (AE), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Patrimoines locaux, Environnement et Globalisation (PALOC), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU), Università degli studi di Trieste = University of Trieste, Université Laval [Québec] (ULaval), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), The Royal Society, Natural Environment Research Council (NERC), Kwame Nkrumah University of Science and Technology [GHANA] (KNUST), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Westerdijk Fungal Biodiversity Institute, Westerdijk Fungal Biodiversity Institute - Yeast Research, Hudson, Lawrence N [0000-0003-4072-7469], Choimes, Argyrios [0000-0002-9849-1500], Jung, Martin [0000-0002-7569-1390], Apollo - University of Cambridge Repository, Hudson, Lawrence N, Newbold, Tim, Contu, Sara, Hill, Samantha L. L., Lysenko, Igor, De Palma, Adriana, Phillips, Helen R. P., Alhusseini, Tamera I., Bedford, Felicity E., Bennett, Dominic J., Booth, Hollie, Burton, Victoria J., Chng, Charlotte W. T., Choimes, Argyrio, Correia, David L. P., Day, Julie, Echeverría Londoño, Susy, Emerson, Susan R., Gao, Di, Garon, Morgan, Harrison, Michelle L. K., Ingram, Daniel J., Jung, Martin, Kemp, Victoria, Kirkpatrick, Lucinda, Martin, Callum D., Pan, Yuan, Pask Hale, Gwilym D., Pynegar, Edwin L., Robinson, Alexandra N., Sanchez Ortiz, Katia, Senior, Rebecca A., Simmons, Benno I., White, Hannah J., Zhang, Hanbin, Aben, Job, Abrahamczyk, Stefan, Adum, Gilbert B., Aguilar Barquero, Virginia, Aizen, Marcelo A., Albertos, Belén, Alcala, E. L., del Mar Alguacil, Maria, Alignier, Audrey, Ancrenaz, Marc, Andersen, Alan N., Arbeláez Cortés, Enrique, Armbrecht, Inge, Arroyo Rodríguez, Víctor, Aumann, Tom, Axmacher, Jan C., Azhar, Badrul, Azpiroz, Adrián B., Baeten, Lander, Bakayoko, Adama, Báldi, Andrá, Banks, John E., Baral, Sharad K., Barlow, Jo, Barratt, Barbara I. P., Barrico, Lurde, Bartolommei, Paola, Barton, Diane M., Basset, Yve, Batáry, Péter, Bates, Adam J., Baur, Bruno, Bayne, Erin M., Beja, Pedro, Benedick, Suzan, Berg, Åke, Bernard, Henry, Berry, Nicholas J., Bhatt, Dinesh, Bicknell, Jake E., Bihn, Jochen H., Blake, Robin J., Bobo, Kadiri S., Bóçon, Roberto, Boekhout, Teun, Böhning Gaese, Katrin, Bonham, Kevin J., Borges, Paulo A. V., Borges, Sérgio H., Boutin, Céline, Bouyer, Jérémy, Bragagnolo, Cibele, Brandt, Jodi S., Brearley, Francis Q., Brito, Isabel, Bros, Vicenç, Brunet, Jörg, Buczkowski, Grzegorz, Buddle, Christopher M., Bugter, Rob, Buscardo, Erika, Buse, Jörn, Cabra García, Jimmy, Cáceres, Nilton C., Cagle, Nicolette L., Calviño Cancela, María, Cameron, Sydney A., Cancello, Eliana M., Caparrós, Rut, Cardoso, Pedro, Carpenter, Dan, Carrijo, Tiago F., Carvalho, Anelena L., Cassano, Camila R., Castro, Helena, Castro Luna, Alejandro A., Rolando, Cerda B., Cerezo, Alexi, Chapman, Kim Alan, Chauvat, Matthieu, Christensen, Morten, Clarke, Francis M., Cleary, Daniel F. R., Colombo, Giorgio, Connop, Stuart P., Craig, Michael D., Cruz López, Leopoldo, Cunningham, Saul A., D'Aniello, Biagio, D'Cruze, Neil, da Silva, Pedro Giovâni, Dallimer, Martin, Danquah, Emmanuel, Darvill, Ben, Dauber, Jen, Davis, Adrian L. V., Dawson, Jeff, de Sassi, Claudio, de Thoisy, Benoit, Deheuvels, Olivier, Dejean, Alain, Devineau, Jean Loui, Diekötter, Tim, Dolia, Jignasu V., Domínguez, Erwin, Dominguez Haydar, Yamileth, Dorn, Silvia, Draper, Isabel, Dreber, Niel, Dumont, Bertrand, Dures, Simon G., Dynesius, Mat, Edenius, Lar, Eggleton, Paul, Eigenbrod, Felix, Elek, Zoltán, Entling, Martin H., Esler, Karen J., de Lima, Ricardo F., Faruk, Aisyah, Farwig, Nina, Fayle, Tom M., Felicioli, Antonio, Felton, Annika M., Fensham, Roderick J., Fernandez, Ignacio C., Ferreira, Catarina C., Ficetola, Gentile F., Fiera, Cristina, Filgueiras, Bruno K. C., Fırıncıoğlu, Hüseyin K., Flaspohler, David, Floren, Andrea, Fonte, Steven J., Fournier, Anne, Fowler, Robert E., Franzén, Marku, Fraser, Lauchlan H., Fredriksson, Gabriella M., Freire, Geraldo B., Frizzo, Tiago L. M., Fukuda, Daisuke, Furlani, Dario, Gaigher, René, Ganzhorn, Jörg U., García, Karla P., Garcia R, Juan C., Garden, Jenni G., Garilleti, Ricardo, Ge, Bao Ming, Gendreau Berthiaume, Benoit, Gerard, Philippa J., Gheler Costa, Carla, Gilbert, Benjamin, Giordani, Paolo, Giordano, Simonetta, Golodets, Carly, Gomes, Laurens G. L., Gould, Rachelle K., Goulson, Dave, Gove, Aaron D., Granjon, Laurent, Grass, Ingo, Gray, Claudia L., Grogan, Jame, Gu, Weibin, Guardiola, Moisè, Gunawardene, Nihara R., Gutierrez, Alvaro G., Gutiérrez Lamus, Doris L., Haarmeyer, Daniela H., Hanley, Mick E., Hanson, Thor, Hashim, Nor R., Hassan, Shombe N., Hatfield, Richard G., Hawes, Joseph E., Hayward, Matt W., Hébert, Christian, Helden, Alvin J., Henden, John André, Henschel, Philipp, Hernández, Lionel, Herrera, James P., Herrmann, Farina, Herzog, Felix, Higuera Diaz, Diego, Hilje, Branko, Höfer, Hubert, Hoffmann, Anke, Horgan, Finbarr G., Hornung, Elisabeth, Horváth, Roland, Hylander, Kristoffer, Isaacs Cubides, Paola, Ishida, Hiroaki, Ishitani, Masahiro, Jacobs, Carmen T., Jaramillo, Víctor J., Jauker, Birgit, Hernández, F. Jiménez, Johnson, McKenzie F., Jolli, Virat, Jonsell, Mat, Juliani, S. Nur, Jung, Thomas S., Kapoor, Vena, Kappes, Heike, Kati, Vassiliki, Katovai, Eric, Kellner, Klau, Kessler, Michael, Kirby, Kathryn R., Kittle, Andrew M., Knight, Mairi E., Knop, Eva, Kohler, Florian, Koivula, Matti, Kolb, Annette, Kone, Mouhamadou, Kőrösi, Ádám, Krauss, Jochen, Kumar, Ajith, Kumar, Raman, Kurz, David J., Kutt, Alex S., Lachat, Thibault, Lantschner, Victoria, Lara, Francisco, Lasky, Jesse R., Latta, Steven C., Laurance, William F., Lavelle, Patrick, Le Féon, Violette, Lebuhn, Gretchen, Légaré, Jean Philippe, Lehouck, Valérie, Lencinas, María V., Lentini, Pia E., Letcher, Susan G., Li, Qi, Litchwark, Simon A., Littlewood, Nick A., Liu, Yunhui, Lo Man Hung, Nancy, López Quintero, Carlos A., Louhaichi, Mounir, Lövei, Gabor L., Lucas Borja, Manuel Esteban, Luja, Victor H., Luskin, Matthew S., MacSwiney G, M. Cristina, Maeto, Kaoru, Magura, Tibor, Mallari, Neil Aldrin, Malone, Louise A., Malonza, Patrick K., Malumbres Olarte, Jagoba, Mandujano, Salvador, Måren, Inger E., Marin Spiotta, Erika, Marsh, Charles J., Marshall, E. J. P., Martínez, Eliana, Martínez Pastur, Guillermo, Moreno Mateos, David, Mayfield, Margaret M., Mazimpaka, Vicente, Mccarthy, Jennifer L., Mccarthy, Kyle P., Mcfrederick, Quinn S., Mcnamara, Sean, Medina, Nagore G., Medina, Rafael, Mena, Jose L., Mico, Estefania, Mikusinski, Grzegorz, Milder, Jeffrey C., Miller, James R., Miranda Esquivel, Daniel R., Moir, Melinda L., Morales, Carolina L., Muchane, Mary N., Muchane, Muchai, Mudri Stojnic, Sonja, Munira, A. Nur, Muoñz Alonso, Antonio, Munyekenye, B. F., Naidoo, Robin, Naithani, A., Nakagawa, Michiko, Nakamura, Akihiro, Nakashima, Yoshihiro, Naoe, Shoji, Nates Parra, Guiomar, Navarrete Gutierrez, Dario A., Navarro Iriarte, Lui, Ndang'Ang'A, Paul K., Neuschulz, Eike L., Ngai, Jacqueline T., Nicolas, Violaine, Nilsson, Sven G., Noreika, Norberta, Norfolk, Olivia, Noriega, Jorge Ari, Norton, David A., Nöske, Nicole M., Nowakowski, A. Justin, Numa, Catherine, O'Dea, Niall, O'Farrell, Patrick J., Oduro, William, Oertli, Sabine, Ofori Boateng, Caleb, Oke, Christopher Omamoke, Oostra, Vicencio, Osgathorpe, Lynne M., Otavo, Samuel Eduardo, Page, Navendu V., Paritsis, Juan, Parra H, Alejandro, Parry, Luke, Pe'Er, Guy, Pearman, Peter B., Pelegrin, Nicolá, Pélissier, Raphaël, Peres, Carlos A., Peri, Pablo L., Persson, Anna S., Petanidou, Theodora, Peters, Marcell K., Pethiyagoda, Rohan S., Phalan, Ben, Philips, T. Keith, Pillsbury, Finn C., Pincheira Ulbrich, Jimmy, Pineda, Eduardo, Pino, Joan, Pizarro Araya, Jaime, Plumptre, A. J., Poggio, Santiago L., Politi, Natalia, Pons, Pere, Poveda, Katja, Power, Eileen F., Presley, Steven J., Proença, Vânia, Quaranta, Marino, Quintero, Carolina, Rader, Romina, Ramesh, B. R., Ramirez Pinilla, Martha P., Ranganathan, Jai, Rasmussen, Clau, Redpath Downing, Nicola A., Reid, J. Leighton, Reis, Yana T., Rey Benayas, José M., Rey Velasco, Juan Carlo, Reynolds, Chevonne, Ribeiro, Danilo Bandini, Richards, Miriam H., Richardson, Barbara A., Richardson, Michael J., Ríos, Rodrigo Macip, Robinson, Richard, Robles, Carolina A., Römbke, Jörg, Romero Duque, Luz Piedad, Rös, Matthia, Rosselli, Loreta, Rossiter, Stephen J., Roth, Dana S., Roulston, T'ai H., Rousseau, Laurent, Rubio, André V., Ruel, Jean Claude, Sadler, Jonathan P., Sáfián, Szabolc, Saldaña Vázquez, Romeo A., Sam, Katerina, Samnegård, Ulrika, Santana, Joana, Santos, Xavier, Savage, Jade, Schellhorn, Nancy A., Schilthuizen, Menno, Schmiedel, Ute, Schmitt, Christine B., Schon, Nicole L., Schüepp, Christof, Schumann, Katharina, Schweiger, Oliver, Scott, Dawn M., Scott, Kenneth A., Sedlock, Jodi L., Seefeldt, Steven S., Shahabuddin, Ghazala, Shannon, Graeme, Sheil, Dougla, Sheldon, Frederick H., Shochat, Eyal, Siebert, Stefan J., Silva, Fernando A. B., Simonetti, Javier A., Slade, Eleanor M., Smith, Jo, Smith Pardo, Allan H., Sodhi, Navjot S., Somarriba, Eduardo J., Sosa, Ramón A., Soto Quiroga, Grimaldo, St Laurent, Martin Hugue, Starzomski, Brian M., Stefanescu, Constanti, Steffan Dewenter, Ingolf, Stouffer, Philip C., Stout, Jane C., Strauch, Ayron M., Struebig, Matthew J., Su, Zhimin, Suarez Rubio, Marcela, Sugiura, Shinji, Summerville, Keith S., Sung, Yik Hei, Sutrisno, Hari, Svenning, Jens Christian, Teder, Tiit, Threlfall, Caragh G., Tiitsaar, Anu, Todd, Jacqui H., Tonietto, Rebecca K., Torre, Ignasi, Tóthmérész, Béla, Tscharntke, Teja, Turner, Edgar C., Tylianakis, Jason M., Uehara Prado, Marcio, Urbina Cardona, Nicola, Vallan, Deni, Vanbergen, Adam J., Vasconcelos, Heraldo L., Vassilev, Kiril, Verboven, Hans A. F., Verdasca, Maria João, Verdú, José R., Vergara, Carlos H., Vergara, Pablo M., Verhulst, Jort, Virgilio, Massimiliano, Vu, Lien Van, Waite, Edward M., Walker, Tony R., Wang, Hua Feng, Wang, Yanping, Watling, James I., Weller, Britta, Wells, Konstan, Westphal, Catrin, Wiafe, Edward D., Williams, Christopher D., Willig, Michael R., Woinarski, John C. Z., Wolf, Jan H. D., Wolters, Volkmar, Woodcock, Ben A., Wu, Jihua, Wunderle, Joseph M., Yamaura, Yuichi, Yoshikura, Satoko, Yu, Douglas W., Zaitsev, Andrey S., Zeidler, Juliane, Zou, Fasheng, Collen, Ben, Ewers, Rob M., Mace, Georgina M., Purves, Drew W., Scharlemann, Jörn P. W., Purvis, Andy, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Institut National de la Recherche Agronomique - INRA (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Natural History Museum, 3Department of Genetics, Evolution and Environment, Centre for Biodiversity and Environment, Research, University College London ( UCL ), Department of Life Sciences, Universita di Trieste, Auburn University, Queen Mary University of London ( QMUL ), Royal Holloway [University of London] ( RHUL ), ( SFIRC ), University of Antwerp ( UA ), University of Bonn (Rheinische Friedrich-Wilhelms), Kwame Nkrumah University of Science and Technology ( KNUST ), Universidad de Costa Rica, Laboratorio Ecotono-CRUB, Universidad Nacional del Comahue, SAD Paysage ( SAD Paysage ), Institut National de la Recherche Agronomique ( INRA ) -AGROCAMPUS OUEST, Dynamiques Forestières dans l'Espace Rural ( DYNAFOR ), Institut National Polytechnique [Toulouse] ( INP ) -Institut National de la Recherche Agronomique ( INRA ) -Ecole Nationale Supérieure Agronomique de Toulouse, Contrôle des maladies animales exotiques et émergentes [Montpellier] ( CMAEE ), Institut National de la Recherche Agronomique ( INRA ) -Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR15, Unité Mixte de Recherches sur les Herbivores ( UMR 1213 Herbivores ), VetAgro Sup ( VAS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique ( INRA ), Centre de Biologie pour la Gestion des Populations ( CBGP ), Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Institut national de la recherche agronomique [Montpellier] ( INRA Montpellier ) -Université de Montpellier ( UM ) -Institut de Recherche pour le Développement ( IRD [France-Sud] ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Abeilles et Environnement ( AE ), and Institut National de la Recherche Agronomique ( INRA ) -Université d'Avignon et des Pays de Vaucluse ( UAPV )

Subjects
VDP::Mathematics and natural science: 400::Zoology and botany: 480::Ecology: 488, Biodiversité et Ecologie, data sharing, habitat, Biológiai tudományok, Q1, BIRD SPECIES RICHNESS, TROPICAL DRY FOREST, VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488, MEXICAN COFFEE PLANTATIONS, Természettudományok, Data and Information, Milieux et Changements globaux, LOWLAND, ComputingMilieux_MISCELLANEOUS, Original Research, Ecology, global biodiversity modeling, global change, habitat destruction, land use, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, LAND-USE CHANGE, [ SDE.MCG ] Environmental Sciences/Global Changes, Chemistry, Earth and Related Environmental Sciences, Evolution, [SDE.MCG]Environmental Sciences/Global Changes, INTENSIVELY MANAGED FARMLAND, Ingénierie de l'environnement, CARABID BEETLE ASSEMBLAGES, FRUIT-FEEDING BUTTERFLIES, Ecology and Environment, Biodiversity and Ecology, keywords: data sharing, Behavior and Systematics, Biology, Ekologi, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, QL, DIPTEROCARP FOREST, QH, PLANT COMMUNITY COMPOSITION, Geovetenskap och miljövetenskap, Biology and Life Sciences, destruction, Ecology, Evolution, Behavior and Systematic, URBAN-RURAL GRADIENT, Earth and Environmental Sciences, Environnement et Société, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

Source at https://doi.org/10.1002/ece3.2579. The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.

Published
2017
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20. Mass Calibration and Cosmological Analysis of the SPT-SZ Galaxy Cluster Sample Using Velocity Dispersion $\sigma_v$ and X-ray $Y_\textrm{X}$ Measurements

Author

Bocquet, S., Saro, A., Mohr, J. J., Aird, K. A., Ashby, M. L. N., Bautz, M., Bayliss, M., Bazin, G., Benson, B. A., Bleem, L. E., Brodwin, M., Carlstrom, J. E., Chang, C. L., Chiu, I., Cho, H. M., Clocchiatti, A., Crawford, T. M., Crites, A. T., Desai, S., de Haan, T., Dietrich, J. P., Dobbs, M. A., Foley, R. J., Forman, W. R., Gangkofner, D., George, E. M., Gladders, M. D., Gonzalez, A. H., Halverson, N. W., Hennig, C., Hlavacek-Larrondo, J., Holder, G. P., Holzapfel, W. L., Hrubes, J. D., Jones, C., Keisler, R., Knox, L., Lee, A. T., Leitch, E. M., Liu, J., Lueker, M., Luong-Van, D., Marrone, D. P., McDonald, M., McMahon, J. J., Meyer, S. S., Mocanu, L., Murray, S. S., Padin, S., Pryke, C., Reichardt, C. L., Rest, A., Ruel, J., Ruhl, J. E., Saliwanchik, B. R., Sayre, J. T., Schaffer, K. K., Shirokoff, E., Spieler, H. G., Stalder, B., Stanford, S. A., Staniszewski, Z., Stark, A. A., Story, K., Stubbs, C. W., Vanderlinde, K., Vieira, J. D., Vikhlinin, A., Williamson, R., Zahn, O., and Zenteno, A.

Subjects
Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We present a velocity dispersion-based mass calibration of the South Pole Telescope Sunyaev-Zel'dovich effect survey (SPT-SZ) galaxy cluster sample. Using a homogeneously selected sample of 100 cluster candidates from 720 deg2 of the survey along with 63 velocity dispersion ($\sigma_v$) and 16 X-ray Yx measurements of sample clusters, we simultaneously calibrate the mass-observable relation and constrain cosmological parameters. The calibrations using $\sigma_v$ and Yx are consistent at the $0.6\sigma$ level, with the $\sigma_v$ calibration preferring ~16% higher masses. We use the full cluster dataset to measure $\sigma_8(\Omega_ m/0.27)^{0.3}=0.809\pm0.036$. The SPT cluster abundance is lower than preferred by either the WMAP9 or Planck+WMAP9 polarization (WP) data, but assuming the sum of the neutrino masses is $\sum m_\nu=0.06$ eV, we find the datasets to be consistent at the 1.0$\sigma$ level for WMAP9 and 1.5$\sigma$ for Planck+WP. Allowing for larger $\sum m_\nu$ further reconciles the results. When we combine the cluster and Planck+WP datasets with BAO and SNIa, the preferred cluster masses are $1.9\sigma$ higher than the Yx calibration and $0.8\sigma$ higher than the $\sigma_v$ calibration. Given the scale of these shifts (~44% and ~23% in mass, respectively), we execute a goodness of fit test; it reveals no tension, indicating that the best-fit model provides an adequate description of the data. Using the multi-probe dataset, we measure $\Omega_ m=0.299\pm0.009$ and $\sigma_8=0.829\pm0.011$. Within a $\nu$CDM model we find $\sum m_\nu = 0.148\pm0.081$ eV. We present a consistency test of the cosmic growth rate. Allowing both the growth index $\gamma$ and the dark energy equation of state parameter $w$ to vary, we find $\gamma=0.73\pm0.28$ and $w=-1.007\pm0.065$, demonstrating that the expansion and the growth histories are consistent with a LCDM model ($\gamma=0.55; \,w=-1$)., Comment: Accepted by ApJ (v2 is accepted version); 17 pages, 6 figures

Published
2014

21. A transient method for measuring the DC streaming potential coefficient of porous and fractured rocks

Author

Walker, E, Glover, PWJ, and Ruel, J

Abstract

High-quality streaming potential coupling coefficient measurements have been carried out using a newly designed cell with both a steady state methodology and a new pressure transient approach. The pressure transient approach has shown itself to be particularly good at providing high-quality streaming potential coefficient measurements as each transient increase or decrease allows thousands of measurements to be made at different pressures to which a good linear regression can be fitted. Nevertheless, the transient method can be up to 5 times as fast as the conventional measurement approaches because data from all flow rates are taken in the same transient measurement rather than separately. Test measurements have been made on samples of Berea and Boise sandstone as a function of salinity (approximately 18 salinities between 10 -5 mol/dm3 and 2 mol/dm3). The data have also been inverted to obtain the zeta potential. The streaming potential coefficient becomes greater (more negative) for fluids with lower salinities, which is consistent with existing measurements. Our measurements are also consistent with the high-salinity streaming potential coefficient measurements made by Vinogradov et al. (2010). Both the streaming potential coefficient and the zeta potential have also been modeled using the theoretical approach of Glover (2012). This modeling allows the microstructural, electrochemical, and fluid properties of the saturated rock to be taken into account in order to provide a relationship that is unique to each particular rock sample. In all cases, we found that the experimental data were a good match to the theoretical model.

Published
2014

24. An SZ-selected sample of the most massive galaxy clusters in the 2500-square-degree South Pole Telescope survey

Author

Williamson, R., Benson, B. A., High, F. W., Vanderlinde, K., Ade, P. A. R., Aird, K. A., Andersson, K., Armstrong, R., Ashby, M. L. N., Bautz, M., Bazin, G., Bertin, E., Bleem, L. E., Bonamente, M., Brodwin, M., Carlstrom, J. E., Chang, C. L., Chapman, S. C., Clocchiatti, A., Crawford, T. M., Crites, A. T., de Haan, T., Desai, S., Dobbs, M. A., Dudley, J. P., Fazio, G. G., Foley, R. J., Forman, W. R., Garmire, G., George, E. M., Gladders, M. D., Gonzalez, A. H., Halverson, N. W., Holder, G. P., Holzapfel, W. L., Hoover, S., Hrubes, J. D., Jones, C., Joy, M., Keisler, R., Knox, L., Lee, A. T., Leitch, E. M., Lueker, M., Luong-Van, D., Marrone, D. P., McMahon, J. J., Mehl, J., Meyer, S. S., Mohr, J. J., Montroy, T. E., Murray, S. S., Padin, S., Plagge, T., Pryke, C., Reichardt, C. L., Rest, A., Ruel, J., Ruhl, J. E., Saliwanchik, B. R., Saro, A., Schaffer, K. K., Shaw, L., Shirokoff, E., Song, J., Spieler, H. G., Stalder, B., Stanford, S. A., Staniszewski, Z., Stark, A. A., Story, K., Stubbs, C. W., Vieira, J. D., Vikhlinin, A., and Zenteno, A.

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics::Instrumentation and Methods for Astrophysics, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The South Pole Telescope (SPT) is currently surveying 2500 deg^2 of the southern sky to detect massive galaxy clusters out to the epoch of their formation using the Sunyaev-Zel'dovich (SZ) effect. This paper presents a catalog of the 26 most significant SZ cluster detections in the full survey region. The catalog includes 14 clusters which have been previously identified and 12 that are new discoveries. These clusters were identified in fields observed to two differing noise depths: 1500 deg^2 at the final SPT survey depth of 18 uK-arcmin at 150 GHz, and 1000 deg^2 at a depth of 54 uK-arcmin. Clusters were selected on the basis of their SZ signal-to-noise ratio (S/N) in SPT maps, a quantity which has been demonstrated to correlate tightly with cluster mass. The S/N thresholds were chosen to achieve a comparable mass selection across survey fields of both depths. Cluster redshifts were obtained with optical and infrared imaging and spectroscopy from a variety of ground- and space-based facilities. The redshifts range from 0.098 \leq z \leq 1.132 with a median of z_med = 0.40. The measured SZ S/N and redshifts lead to unbiased mass estimates ranging from 9.8 \times 10^14 M_sun/h_70 \leq M_200(rho_mean) \leq 3.1 \times 10^15 M_sun/h_70. Based on the SZ mass estimates, we find that none of the clusters are individually in significant tension with the LambdaCDM cosmological model. We also test for evidence of non-Gaussianity based on the cluster sample and find the data show no preference for non-Gaussian perturbations., Main body: 6 tables, 5 figures, 15 pages. Appendix: 26 full-color images, 14 pages. Accepted by ApJ

Published
2011

26. The Delphi method as an alternative to standard committee meetings to identify ecological issues for forest ecosystem-based management: A case study.

Author

Waldron, K., Lussier, J.-M, Thiffault, N., Bujold, F., Ruel, J.-C., and St-Onge, B.

Subjects
FOREST management, FORESTS & forestry, DELPHI method
Abstract

Copyright of Forestry Chronicle is the property of Canadian Institute of Forestry and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2016
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31. Frequency-Dependent Streaming Potential of Porous Media-Part 1: Experimental Approaches and Apparatus Design.

Author

Glover, P. W. J., Ruel, J., Tardif, E., and Walker, E.

Subjects
*ELECTROKINETICS, *POROUS materials, *GEOLOGY experiments, *FRACTURE mechanics, *PIEZOELECTRIC devices, *HYDRAULIC engineering
Abstract

Electrokinetic phenomena link fluid flow and electrical flow in porous and fracture dmedia such that a hydraulic flow will generate an electrical current and vice versa. Such a link is likely to be extremely useful, especially in the development of the electroseismic method. However, surprisingly few experimental measurements have been carried out, particularly as a function of frequency because of their difficulty. Here we have considered six different approaches to make laboratory determinations of the frequency dependent streaming potential coefficient. In each case, we have analyzed the mechanical, electrical, and other technical difficulties involved in each method. We conclude that the electromagnetic drive is currently the only approach that is practicable, while the piezoelectric drive may be useful for low permeability samples and at specified high frequencies. We have used the electro-magnetic drive approach to design, build, and test an apparatus for measuring the streaming potential coefficient of unconsolidated and disaggregated samples such as sands, gravels, and soils with a diameter of 25.4mm and lengths between 50mm and 300 mm. [ABSTRACT FROM AUTHOR]

Published
2012
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32. Frequency-Dependent Streaming Potential of Porous Media-Part 2: Experimental Measurement of Unconsolidated Materials.

Author

Glover, P. W. J., Walker, E., Ruel, J., and Tardif, E.

Subjects
GEOLOGY experiments, POROUS materials, GEOLOGICAL research, PERMEABILITY, VIBRATION (Mechanics), ELECTROMAGNETISM
Abstract

Frequency-dependent streaming potential coefficient measurements have been made upon Ottawa sand and glass bead packs using a new apparatus that is based on an electromagnetic drive. The apparatus operates in the range 1 Hz to 1 kHz with samples of 25.4mm diameter up to 150mm long. The results have been analysed using theoretical models that are either (i) based upon vibrationalmechanics, (ii) treat the geological material as a bundle of capillary tubes, or (iii) treat thematerial as a porous medium. The best fit was provided by the Pride model and its simplification, which is satisfying as this model was conceived for porous media rather than capillary tube bundles. Values for the transition frequency were derived from each of the models for each sample and were found to be in good agreement with those expected from the independently measured effective pore radius of each material. The fit to the Pride model for all four samples was also found to be consistent with the independently measured steady-state permeability, while the value of the streaming potential coefficient in the low-frequency limit was found to be in good agreement with other steady-state streaming potential coefficient data. [ABSTRACT FROM AUTHOR]

Published
2012
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35. Comparison of wind speeds obtained using numerical weather prediction models and topographic exposure indices for predicting windthrow in mountainous terrain.

Author

Mitchell, S.J., Lanquaye-Opoku, N., Modzelewski, H., Shen, Y., Stull, R., Jackson, P., Murphy, B., and Ruel, J.-C.

Subjects
WIND speed, GEOGRAPHIC information systems, INFORMATION resources, ISLANDS
Abstract

Abstract: Windthrow prediction models require data concerning stand characteristics and wind exposure. Geographic information system databases typically contain elevation, forest cover, and logging history layers, therefore attributes can be extracted for points distributed across a given landscape. Climate stations in forested areas are rare, but the wind regime at regularly spaced points can be estimated using mesoscale numerical weather prediction models such as MC2, MM5, and RAMS. More traditionally, wind exposure is estimated using topographic exposure indices. Using gridded and cutblock edge segment databases for areas of mountainous terrain in central British Columbia (McGregor) and on southwestern Vancouver Island (WIT), we examined the spatial variability of simulated wind speeds and topographic exposure indices, simple correlations between variables, and the utility of these variables in predicting clearcut edge windthrow. Approximately half of the spatial variability in topographic and wind variables occurred for points spaced within 4km. After restricting the dataset to one point from every 16km2 panel, mean wind speed was found to be correlated with elevation (0.48, 0.86), but less well with topographic exposure indices (0.17–0.72). Correlations between local winds predicted during strong wind events and topographic exposure indices varied depending on the model used, ranging from non-significant to moderate (0.58). Concordance values for logistic regression models for predicting cutblock edge windthrow improved from 65.0 and 63.8 for base models with height and stand variables, to 70.2 and 68.2 with the addition of topographic exposure indices and extreme wind measures, for McGregor and WIT, respectively. [Copyright &y& Elsevier]

Published
2008
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36. Modelling the vulnerability of balsam fir forests to wind damage.

Author

Achim, A., Ruel, J.-C., Gardiner, B.A., Laflamme, G., and Meunier, S.

Subjects
BALSAM fir, WHITE spruce, TAIGAS, FORESTS & forestry
Abstract

Abstract: Wind causes significant damage to forests in central Québec, and with the current move to more refined silvicultural practices, concerns are increasing. This study investigates the mechanisms of windthrow resistance in stands dominated by balsam fir ( Abies balsamea (L.) Mill.) with a minor component of white spruce ( Picea glauca (Moench) Voss.), representing the dominant feature of a large section of the Eastern Canadian boreal forest. The aim was to compare the stability of trees of both species on mesic and rich mesic sites and then to compare the windthrow vulnerability of the entire stands on the same sites. Stability was measured by static tree-pulling tests. The resulting critical turning moments were calculated at the base of the stem and were related to a series of tree descriptors. Stem mass and tree mass were the variables showing the highest correlation coefficients. The effects of the site and the species on the critical turning moments were non-significant (P >0.05). Influence diagnostics did not reveal the need for separating the stability of the pulled trees from their mode of failure. A similar analysis also showed that the amount of rot at the base of the stem did not affect significantly the vulnerability to windthrow in this study. Windthrow vulnerability was modelled using the methodology developed for the British GALES model. By using the relationship between the drag of the air on a surface and its aerodynamic roughness, the wind speed over a forest canopy was transformed into a resulting turning moment at the base of the stem. Critical wind speeds at which trees would overturn or snap could then be inferred for typical balsam fir stands growing on two site indices corresponding to those where the tree-pulling study was conducted. The immediate effect of a thinning operation was simulated by reducing the number of stems in the stands. The critical wind speeds were invariably higher for stem breakage than for overturning. In the later case, they were close to 20ms−1 on both sites before declining at senescence. A thinning treatment removing 30% of the basal area would reduce this speed by approximately 4ms−1. [Copyright &y& Elsevier]

Published
2005
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37. Comparing height growth and biomass production of black spruce trees in logged and burned stands.

Author

Ruel, J.-C., Horvath, R., Ung, C.H., and Munson, A.

Subjects
BIOMASS, SPRUCE, PLANT stems, PLANT canopies
Abstract

The strategy of using advanced layering for regenerating logged black spruce stands has become a common practice. Compared with natural post-fire black spruce stands, this strategy may alter stand structure with a possible change in stand productivity. Using harvested tree data from sample plots established in burned and logged stands, 50 years after disturbance, and on similar soils, we compared the structure, height growth, and biomass allocation of both types of stands. Stem analysis revealed that black spruce trees in logged stands reached their maximum height growth later and at a concomitant lower level than black spruce trees in burned stands. Biomass production was comparable between stand types but was reduced when ericaceous shrubs were abundant. Compared to natural post-fire stands, logged stands present a shift of biomass allocation to branches and to leaves. These mechanisms are interdependent and represent the tree adjustment to the altered structure in logged stands characterised by the fragmented canopy with the increase of ericaceous shrubs cover and of organic layer thickness. [Copyright &y& Elsevier]

Published
2004
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39. Estimating windthrow risk in balsam fir stands with the ForestGales model.

Author

Ruel, J.-C., Quine, C.P., Meunier, S., and Suarez, J.

Subjects
BALSAM fir, WINDFALL (Forestry)
Abstract

Balsam fir (Abies balsamea (L.) Mill.) forests are inherently vulnerable to windthrow, especially when silvicultural treatments are applied. During recent years, it has become possible to model windthrow risk based on a good understanding of windthrow mechanics. In the present paper, the British ForestGales model has been adapted for balsam fir with data from a winching study in Quebec, Canada. This model calculates the threshold wind speed required to break or overturn the average tree in a stand and then calculates the probability of exceeding the threshold value. Modifications of the equations predicting crown characteristics and overturning resistance were introduced. The effects of age, site quality, wind exposure, thinning and the creation of new edges were assessed. The estimated critical wind speed for overturning and breakage decreases with age but the probability of damage remains low on sheltered sites. The creation of a new edge leads to an increased probability of damage, especially on exposed, highly productive sites. Thinning alone also increases the probability of damage and the magnitude of the increase varies with age and thinning intensity. On highly productive sheltered sites, the effect of thinning becomes especially important when thinning exceeds 35% of the number of stems or when stand age is greater than 70 years for a 35% thinning intensity. Thinning of new edges was also found to further increase the risk of windthrow on the most sheltered, high quality sites. [ABSTRACT FROM AUTHOR]

Published
2000
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40. Galaxy Clusters Discovered via the Sunyaev-Zel'dovich Effect in the 2500-square-degree SPT-SZ survey

Author

Bleem, L. E., Stalder, Brian A, de Haan, T., Aird, K. A., Allen, S. W., Applegate, D. E., Ashby, Matthew L N, Bautz, M., Bayliss, Matthew, Benson, B. A., Bocquet, S., Brodwin, M., Carlstrom, J. E., Chang, C. L., Chiu, I., Cho, H. M., Clocchiatti, A., Crawford, T. M., Crites, A. T., Desai, S., Dietrich, J. P., Dobbs, M. A., Foley, R. J., Forman, William R., George, E. M., Gladders, M. D., Gonzalez, A. H., Halverson, N. W., Hennig, C., Hoekstra, H., Holder, G. P., Holzapfel, W. L., Hrubes, J. D., Jones, C., Keisler, R., Knox, L., Lee, A. T., Leitch, E. M., Liu, J., Lueker, M., Luong-Van, D., Mantz, A., Marrone, D. P., McDonald, M., McMahon, J. J., Meyer, S. S., Mocanu, L., Mohr, J. J., Murray, S. S., Padin, S., Pryke, C., Reichardt, C. L., Rest, Armin Wolfgang, Ruel, J., Ruhl, J. E., Saliwanchik, B. R., Saro, A., Sayre, J. T., Schaffer, K. K., Schrabback, T., Shirokoff, E., Song, J., Spieler, H. G., Stanford, S. A., Staniszewski, Z., Stark, Antony A., Story, K. T., Stubbs, Christopher William, Vanderlinde, K., Vieira, J. D., Vikhlinin, Alexey A., Williamson, R., Zahn, O., and Zenteno, A.

Subjects
cosmology: observations, galaxies: clusters: individual, large-scale structure of universe
Abstract

We present a catalog of galaxy clusters selected via their Sunyaev-Zel'dovich (SZ) effect signature from 2500 deg2 of South Pole Telescope (SPT) data. This work represents the complete sample of clusters detected at high significance in the 2500 deg2 SPT-SZ survey, which was completed in 2011. A total of 677 (409) cluster candidates are identified above a signal-to-noise threshold of ξ = 4.5 (5.0). Ground- and space-based optical and near-infrared (NIR) imaging confirms overdensities of similarly colored galaxies in the direction of 516 (or 76%) of the ξ > 4.5 candidates and 387 (or 95%) of the ξ > 5 candidates; the measured purity is consistent with expectations from simulations. Of these confirmed clusters, 415 were first identified in SPT data, including 251 new discoveries reported in this work. We estimate photometric redshifts for all candidates with identified optical and/or NIR counterparts; we additionally report redshifts derived from spectroscopic observations for 141 of these systems. The mass threshold of the catalog is roughly independent of redshift above z ~ 0.25 leading to a sample of massive clusters that extends to high redshift. The median mass of the sample is M 500c(ρcrit) $\sim 3.5\times 10^{14}\,M_\odot \,h_{70}^{-1}$, the median redshift is z med = 0.55, and the highest-redshift systems are at z > 1.4. The combination of large redshift extent, clean selection, and high typical mass makes this cluster sample of particular interest for cosmological analyses and studies of cluster formation and evolution., Physics

Published
2015
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41. Mass Calibration and Cosmological Analysis of the SPT-SZ Galaxy Cluster Sample Using Velocity Dispersion σ v and X-Ray Y X Measurements

Author

Bocquet, S., Saro, A., Mohr, J. J., Aird, K. A., Ashby, Matthew L N, Bautz, M., Bayliss, Matthew, Bazin, G., Benson, B. A., Bleem, L. E., Brodwin, M., Carlstrom, J. E., Chang, C. L., Chiu, I., Cho, H. M., Clocchiatti, A., Crawford, T. M., Crites, A. T., Desai, S., de Haan, T., Dietrich, J. P., Dobbs, M. A., Foley, R. J., Forman, William R., Gangkofner, D., George, E. M., Gladders, M. D., Gonzalez, A. H., Halverson, N. W., Hennig, C., Hlavacek-Larrondo, J., Holder, G. P., Holzapfel, W. L., Hrubes, J. D., Jones, C., Keisler, R., Knox, L., Lee, A. T., Leitch, E. M., Liu, J., Lueker, M., Luong-Van, D., Marrone, D. P., McDonald, M., McMahon, J. J., Meyer, S. S., Mocanu, L., Murray, S. S., Padin, S., Pryke, C., Reichardt, C. L., Rest, Armin Wolfgang, Ruel, J., Ruhl, J. E., Saliwanchik, B. R., Sayre, J. T., Schaffer, K. K., Shirokoff, E., Spieler, H. G., Stalder, Brian A, Stanford, S. A., Staniszewski, Z., Stark, Antony A., Story, K., Stubbs, Christopher William, Vanderlinde, K., Vieira, J. D., Vikhlinin, Alexey A., Williamson, R., Zahn, O., and Zenteno, A.

Subjects
cosmic background radiation, cosmology: observations, galaxies: clusters: individual, large-scale structure of universe
Abstract

We present a velocity-dispersion-based mass calibration of the South Pole Telescope Sunyaev-Zel'dovich effect survey (SPT-SZ) galaxy cluster sample. Using a homogeneously selected sample of 100 cluster candidates from 720 deg2 of the survey along with 63 velocity dispersion (σ v ) and 16 X-ray Y X measurements of sample clusters, we simultaneously calibrate the mass-observable relation and constrain cosmological parameters. Our method accounts for cluster selection, cosmological sensitivity, and uncertainties in the mass calibrators. The calibrations using σ v and Y X are consistent at the 0.6σ level, with the σ v calibration preferring ~16% higher masses. We use the full SPTCL data set (SZ clusters+σ v +Y X) to measure σ8(Ωm/0.27)0.3 = 0.809 ± 0.036 within a flat ΛCDM model. The SPT cluster abundance is lower than preferred by either the WMAP9 or Planck+WMAP9 polarization (WP) data, but assuming that the sum of the neutrino masses is ∑m ν = 0.06 eV, we find the data sets to be consistent at the 1.0σ level for WMAP9 and 1.5σ for Planck+WP. Allowing for larger ∑m ν further reconciles the results. When we combine the SPTCL and Planck+WP data sets with information from baryon acoustic oscillations and Type Ia supernovae, the preferred cluster masses are 1.9σ higher than the Y X calibration and 0.8σ higher than the σ v calibration. Given the scale of these shifts (~44% and ~23% in mass, respectively), we execute a goodness-of-fit test; it reveals no tension, indicating that the best-fit model provides an adequate description of the data. Using the multi-probe data set, we measure Ωm = 0.299 ± 0.009 and σ8 = 0.829 ± 0.011. Within a νCDM model we find ∑m ν = 0.148 ± 0.081 eV. We present a consistency test of the cosmic growth rate using SPT clusters. Allowing both the growth index γ and the dark energy equation-of-state parameter w to vary, we find γ = 0.73 ± 0.28 and w = –1.007 ± 0.065, demonstrating that the expansion and the growth histories are consistent with a ΛCDM universe (γ = 0.55; w = –1)., Astronomy

Published
2015
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42. Measurement of Galaxy Cluster Integrated Comptonization and Mass Scaling Relations With the South Pole Telescope

Author

Saliwanchik, B. R., Montroy, T. E., Aird, K. A., Bayliss, Matthew, Benson, B. A., Bleem, L. E., Bocquet, S., Brodwin, M., Carlstrom, J. E., Chang, C. L., Cho, H. M., Clocchiatti, A., Crawford, T. M., Crites, A. T., de Haan, T., Desai, S., Dobbs, M. A., Dudley, J. P., Foley, R. J., Forman, William R., George, E. M., Gladders, M. D., Gonzalez, A. H., Halverson, N. W., Hlavacek-Larrondo, J., Holder, G. P., Holzapfel, W. L., Hrubes, J. D., Jones, C., Keisler, R., Knox, L., Lee, A. T., Leitch, E. M., Liu, J., Lueker, M., Luong-Van, D., Mantz, A., Marrone, D. P., McDonald, M., McMahon, J. J., Mehl, J., Meyer, S. S., Mocanu, L., Mohr, J. J., Murray, S, Nurgaliev, D, Padin, S., Patej, Anna, Pryke, Clement L., Reichardt, C. L., Rest, A., Ruel, J, Ruhl, J. E., Saro, A., Sayre, J. T., Schaffer, K. K., Shirokoff, E., Spieler, H. G., Stalder, Brian A, Stanford, S. A., Staniszewski, Z., Stark, Antony A., Story, K., Stubbs, Christopher William, Vanderlinde, K., Vieira, J. D., Vikhlinin, Alexey A., Williamson, R., Zahn, O., and Zenteno, A.

Subjects
methods: data analysis, galaxies: clusters, X-rays: galaxies: clusters
Abstract

We describe a method for measuring the integrated Comptonization (Y SZ) of clusters of galaxies from measurements of the Sunyaev-Zel'dovich (SZ) effect in multiple frequency bands and use this method to characterize a sample of galaxy clusters detected in the South Pole Telescope (SPT) data. We use a Markov Chain Monte Carlo method to fit a β-model source profile and integrate Y SZ within an angular aperture on the sky. In simulated observations of an SPT-like survey that include cosmic microwave background anisotropy, point sources, and atmospheric and instrumental noise at typical SPT-SZ survey levels, we show that we can accurately recover β-model parameters for inputted clusters. We measure Y SZ for simulated semi-analytic clusters and find that Y SZ is most accurately determined in an angular aperture comparable to the SPT beam size. We demonstrate the utility of this method to measure Y SZ and to constrain mass scaling relations using X-ray mass estimates for a sample of 18 galaxy clusters from the SPT-SZ survey. Measuring Y SZ within a 0farcm75 radius aperture, we find an intrinsic log-normal scatter of 21% ± 11% in Y SZ at a fixed mass. Measuring Y SZ within a 0.3 Mpc projected radius (equivalent to 0farcm75 at the survey median redshift z = 0.6), we find a scatter of 26% ± 9%. Prior to this study, the SPT observable found to have the lowest scatter with mass was cluster detection significance. We demonstrate, from both simulations and SPT observed clusters that Y SZ measured within an aperture comparable to the SPT beam size is equivalent, in terms of scatter with cluster mass, to SPT cluster detection significance., Astronomy, Physics

Published
2015
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43. Development of a flow simulator to study haemodynamic behaviour of natural and artificial blood vessels under physiologic flow conditions.

Author

Charara, J., Ruel, J., Lemay, J., and Doillon, C. J.

Subjects
*BLOOD flow, *HEMODYNAMICS, *MEDICAL equipment, *BIOMEDICAL engineering
Abstract

A new computer-controlled flow simulator has been designed to study the haemodynamic behaviour of natural and artificial blood vessels under physiologic flow conditions. The simulator can generate well characterized and fully developed laminar flow properties. It includes a unique perfusion case that imposes an axial tension on the vessel segment, and a commercial programmable pump to reproduce pulsatile flow rates. Response to high frequency commands was greatly attenuated and displayed a frequency dependent phase angle. Thus, for complex pulsating flow rates containing different frequency components, the system response was significantly distinct from the command. To reproduce physiologic waveforms, the transfer function of the whole system was determined for different amplitudes and frequencies of flow rate-excitations. Each input command was compared to the measured flow rate, and the values of the gain and phase angle were evaluated. If the desired flow rate was composed of a sum of n sine wave components, each has a frequency fj and an amplitude Aj , a corrected command signal was then reconstructed byamplifying the attenuated components and advancing those lagged in time. The corrected signal was finally applied as the new command to the pump. The results showed an excellent agreement with physiologic waveforms. Examples of different pulsatile flow experiments to investigate the effects of frequency, pressure, and wall elasticity are presented. [ABSTRACT FROM AUTHOR]

Published
1999
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45. Effect of topography on wind behaviour in a complex terrain.

Author

Ruel, J.-C., Pin, D., and Cooper, K.

Subjects
FORESTS & forestry, WINDS
Abstract

Describes the wind behavior in a complex topography in order to locate places where forest strips would be at higher risk, using data from a field monitoring study conducted in 1988-1989 in Quebec City, Quebec. Identification of four groups corresponding to distinct topographic units; Reduction in wind speed for wind blowing across valleys.

Published
1998
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49. Galaxy clusters discovered via the Sunyaev-Zel'dovich effect in the first 720 square degrees of the South Pole Telescope survey

Author

Reichardt, C. L., Stalder, B., Bleem, L. E., Montroy, T. E., Aird, K. A., Andersson, K., Armstrong, R., Ashby, M. L. N., Bautz, M., Bayliss, Matthew, Bazin, G., Benson, B. A., Brodwin, M., Carlstrom, J. E., Chang, C. L., Cho, H. M., Clocchiatti, A., Crawford, T. M., Crites, A. T., de Haan, T., Desai, S., Dobbs, M. A., Dudley, J. P., Foley, R. J., Forman, W. R., George, E. M., Gladders, M. D., Gonzalez, A. H., Halverson, N. W., Harrington, N. L., High, F. W., Holder, G. P., Holzapfel, W. L., Hoover, S., Hrubes, J. D., Jones, C., Joy, M., Keisler, R., Knox, L., Lee, A. T., Leitch, E. M., Liu, J., Lueker, M., Luong-Van, D., Mantz, A., Marrone, D. P., McDonald, M., McMahon, J. J., Mehl, J., Meyer, S. S., Mocanu, L., Mohr, J. J., Murray, S. S., Natoli, T., Padin, S., Plagge, T., Pryke, C., Rest, A., Ruel, J., Ruhl, J. E., Saliwanchik, B. R., Saro, A., Sayre, J. T., Schaffer, K. K., Shaw, L., Shirokoff, E., Song, J., Spieler, H. G., Staniszewski, Z., Stark, A. A., Story, K., Stubbs, Christopher William, Suhada, R., van Engelen, A., Vanderlinde, K., Vieira, J. D., Vikhlinin, A., Williamson, R., Zahn, O., and Zenteno, A.

Abstract

We present a catalog of galaxy cluster candidates, selected through their Sunyaev-Zel'dovich (SZ) effect signature in the first 720 deg2 of the South Pole Telescope (SPT) survey. This area was mapped with the SPT in the 2008 and 2009 austral winters to a depth of ~18 μKCMB-arcmin at 150 GHz; 550 deg2 of it was also mapped to ~44 μKCMB-arcmin at 95 GHz. Based on optical imaging of all 224 candidates and near-infrared imaging of the majority of candidates, we have found optical and/or infrared counterparts for 158, which we then classify as confirmed galaxy clusters. Of these 158 clusters, 135 were first identified as clusters in SPT data, including 117 new discoveries reported in this work. This catalog triples the number of confirmed galaxy clusters discovered through the SZ effect. We report photometrically derived (and in some cases spectroscopic) redshifts for confirmed clusters and redshift lower limits for the remaining candidates. The catalog extends to high redshift with a median redshift of z = 0.55 and maximum confirmed redshift of z = 1.37. Forty-five of the clusters have counterparts in the ROSAT bright or faint source catalogs from which we estimate X-ray fluxes. Based on simulations, we expect the catalog to be nearly 100% complete above M 500 ≈ 5 × 1014 M ☉ h –1 70 at z gsim 0.6. There are 121 candidates detected at signal-to-noise ratio greater than five, at which the catalog purity is measured to be 95%. From this high-purity subsample, we exclude the z < 0.3 clusters and use the remaining 100 candidates to improve cosmological constraints following the method presented by Benson et al. Adding the cluster data to CMB + BAO + H 0 data leads to a preference for non-zero neutrino masses while only slightly reducing the upper limit on the sum of neutrino masses to ∑m ν < 0.38 eV (95% CL). For a spatially flat wCDM cosmological model, the addition of this catalog to the CMB + BAO + H 0 + SNe results yields σ8 = 0.807 ± 0.027 and w = –1.010 ± 0.058, improving the constraints on these parameters by a factor of 1.4 and 1.3, respectively. The larger cluster catalog presented in this work leads to slight improvements in cosmological constraints from those presented by Benson et al. These cosmological constraints are currently limited by uncertainty in the cluster mass calibration, not the size or quality of the cluster catalog. A multi-wavelength observation program to improve the cluster mass calibration will make it possible to realize the full potential of the final 2500 deg2 SPT cluster catalog to constrain cosmology., Astronomy, Physics

Published
2013
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50. Tyrosinemia type I--diagnostic issues and prenatal diagnosis.

Author

Bijarnia S, Puri RD, Ruel J, Gray GF, Jenkinson L, Verma IC, Bijarnia, Sunita, Puri, Ratna D, Ruel, Jean, Gray, George F, Jenkinson, Linda, and Verma, Ishwar C

Abstract

A fifteen-month-old boy, born to consanguineously married couple, presented with asymptomatic hepatomegaly. Investigations revealed mildly deranged liver functions, necroinflammatory changes and cirrhosis on liver biopsy, a markedly raised alpha feto protein and tyrosine levels in plasma and a generalized aminoaciduria. His diagnosis of hereditary tyrosinemia was established on findings of raised serum and urine succinylacetone and a deficient activity of fumaryl acetoacetate hydroxylase enzyme. Prenatal diagnosis of hereditary tyrosinemia was performed in a subsequent pregnancy in this family from India. [ABSTRACT FROM AUTHOR]

Published
2006
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