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2,168 results on '"Dowling, J"'

1. NOD1 mediates interleukin-18 processing in epithelial cells responding to Helicobacter pylori infection in mice

Author

Tran, L. S., Ying, L., D’Costa, K., Wray-McCann, G., Kerr, G., Le, L., Allison, C. C., Ferrand, J., Chaudhry, H., Emery, J., De Paoli, A., Colon, N., Creed, S., Kaparakis-Liaskos, M., Como, J., Dowling, J. K., Johanesen, P. A., Kufer, T. A., Pedersen, J. S., Mansell, A., Philpott, D. J., Elgass, K. D., Abud, H. E., Nachbur, U., Croker, B. A., Masters, S. L., and Ferrero, R. L.

Published
2023
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3. Fast Amplification and Rephasing of Entangled Cat States in a Qubit-Oscillator System

Author

Xiao, Z., Fuse, T., Ashhab, S., Yoshihara, F., Semba, K., Sasaki, M., Takeoka, M., and Dowling, J. P.

Subjects
Quantum Physics
Abstract

We study a qubit-oscillator system, with a time-dependent coupling coefficient, and present a scheme for generating entangled Schr\"odinger-cat states with large mean photon numbers and also a scheme that protects the cat states against dephasing caused by the nonlinearity in the system. We focus on the case where the qubit frequency is small compared to the oscillator frequency. We first present the exact quantum state evolution in the limit of infinitesimal qubit frequency. We then analyze the first-order effect of the nonzero qubit frequency. Our scheme works for a wide range of coupling strength values, including the recently achieved deep-strong-coupling regime., Comment: 10 pages, 4 figures

Published
2018
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4. A loophole-free Wheeler-delayed-choice experiment

Author

Huang, H. -L., Luo, Y. -H., Bai, B., Deng, Y. -H., Wang, H., Zhong, H. -S., Nie, Y. -Q., Jiang, W. -H., Wang, X. -L., Zhang, J., Li, Li, Liu, Nai-Le, Byrnes, Tim, Dowling, J. P., Lu, Chao-Yang, and Pan, Jian-Wei

Subjects
Quantum Physics
Abstract

Wheeler's delayed-choice experiment investigates the indeterminacy of wave-particle duality and the role played by the measurement apparatus in quantum theory. Due to the inconsistency with classical physics, it has been generally believed that it is not possible to reproduce the delayed-choice experiment using a hidden variable theory. Recently, it was shown that this assumption was incorrect, and in fact Wheeler's delayed-choice experiment can be explained by a causal two dimensional hidden-variable theory [R. Chaves, G. B. Lemos, and J. Pienaar, Phys. Rev. Lett. 120, 190401 (2018)]. Here, we carry out an experiment of a device-independent delayed-choice experiment using photon states that are space-like separated, and demonstrate a loophole-free version of the delayed-choice protocol that is consistent with quantum theory but inconsistent with any causal two-dimensional hidden variable theory. This salvages Wheeler's thought experiment and shows that causality can be used to test quantum theory in a complementary way to the Bell and Leggett-Garg tests.

Published
2018
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5. Health Equity Implications of Missing Data Among Youths With Childhood‐Onset Systemic Lupus Erythematosus: A Proof‐of‐Concept Study in the Childhood Arthritis and Rheumatology Research Alliance Registry

Author

Woo, Jennifer M. P., Simmonds, Faith, Dennos, Anne, Son, Mary Beth F., Lewandowski, Laura B., Rubinstein, Tamar B., Abel, N., Abulaban, K., Adams, A., Adams, M., Agbayani, R., Aiello, J., Akoghlanian, S., Alejandro, C., Allenspach, E., Alperin, R., Alpizar, M., Amarilyo, G., Ambler, W., Anderson, E., Ardoin, S., Armendariz, S., Baker, E., Balboni, I., Balevic, S., Ballenger, L., Ballinger, S., Balmuri, N., Barbar‐Smiley, F., Barillas‐Arias, L., Basiaga, M., Baszis, K., Becker, M., Bell‐Brunson, H., Beltz, E., Benham, H., Benseler, S., Bernal, W., Beukelman, T., Bigley, T., Binstadt, B., Black, C., Blakley, M., Bohnsack, J., Boland, J., Boneparth, A., Bowman, S., Bracaglia, C., Brooks, E., Brothers, M., Brown, A., Brunner, H., Buckley, M., Buckley, M., Bukulmez, H., Bullock, D., Cameron, B., Canna, S., Cannon, L., Carper, P., Cartwright, V., Cassidy, E., Cerracchio, L., Chalom, E., Chang, J., Chang‐Hoftman, A., Chauhan, V., Chira, P., Chinn, T., Chundru, K., Clairman, H., Co, D., Confair, A., Conlon, H., Connor, R., Cooper, A., Cooper, J., Cooper, S., Correll, C., Corvalan, R., Costanzo, D., Cron, R., Curiel‐Duran, L., Curington, T., Curry, M., Dalrymple, A., Davis, A., Davis, C., Davis, C., Davis, T., De Benedetti, F., De Ranieri, D., Dean, J., Dedeoglu, F., DeGuzman, M., Delnay, N., Dempsey, V., DeSantis, E., Dickson, T., Dingle, J., Donaldson, B., Dorsey, E., Dover, S., Dowling, J., Drew, J., Driest, K., Du, Q., Duarte, K., Durkee, D., Duverger, E., Dvergsten, J., Eberhard, A., Eckert, M., Ede, K., Edelheit, B., Edens, C., Edens, C., Edgerly, Y., Elder, M., Ervin, B., Fadrhonc, S., Failing, C., Fair, D., Falcon, M., Favier, L., Federici, S., Feldman, B., Fennell, J., Ferguson, I., Ferguson, P., Ferreira, B., Ferrucho, R., Fields, K., Finkel, T., Fitzgerald, M., Fleming, C., Flynn, O., Fogel, L., Fox, E., Fox, M., Franco, L., Freeman, M., Fritz, K., Froese, S., Fuhlbrigge, R., Fuller, J., George, N., Gerhold, K., Gerstbacher, D., Gilbert, M., Gillispie‐Taylor, M., Giverc, E., Godiwala, C., Goh, I., Goheer, H., Goldsmith, D., Gotschlich, E., Gotte, A., Gottlieb, B., Gracia, C., Graham, T., Grevich, S., Griffin, T., Griswold, J., Grom, A., Guevara, M., Guittar, P., Guzman, M., Hager, M., Hahn, T., Halyabar, O., Hammelev, E., Hance, M., Hanson, A., Harel, L., Haro, S., Harris, J., Harry, O., Hartigan, E., Hausmann, J., Hay, A., Hayward, K., Heiart, J., Hekl, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hill, P., Hillyer, S., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horwitz, M., Hsu, J., Huber, A., Huggins, J., Hui‐Yuen, J., Hung, C., Huntington, J., Huttenlocher, A., Ibarra, M., Imundo, L., Inman, C., Insalaco, A., Jackson, A., Jackson, S., James, K., Janow, G., Jaquith, J., Jared, S., Johnson, N., Jones, J., Jones, J., Jones, J., Jones, K., Jones, S., Joshi, S., Jung, L., Justice, C., Justiniano, A., Karan, N., Kaufman, K., Kemp, A., Kessler, E., Khalsa, U., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein‐Gitelman, M., Kompelien, B., Kosikowski, A., Kovalick, L., Kracker, J., Kramer, S., Kremer, C., Lai, J., Lam, J., Lang, B., Lapidus, S., Lapin, B., Lasky, A., Latham, D., Lawson, E., Laxer, R., Lee, P., Lee, P., Lee, T., Lentini, L., Lerman, M., Levy, D., Li, S., Lieberman, S., Lim, L., Lin, C., Ling, N., Lingis, M., Lo, M., Lovell, D., Lowman, D., Luca, N., Lvovich, S., Madison, C., Madison, J., Manzoni, S. Magni, Malla, B., Maller, J., Malloy, M., Mannion, M., Manos, C., Marques, L., Martyniuk, A., Mason, T., Mathus, S., McAllister, L., McCarthy, K., McConnell, K., McCormick, E., McCurdy, D., Stokes, P. McCurdy, McGuire, S., McHale, I., McMonagle, A., McMullen‐Jackson, C., Meidan, E., Mellins, E., Mendoza, E., Mercado, R., Merritt, A., Michalowski, L., Miettunen, P., Miller, M., Milojevic, D., Mirizio, E., Misajon, E., Mitchell, M., Modica, R., Mohan, S., Moore, K., Moorthy, L., Morgan, S., Dewitt, E. Morgan, Moss, C., Moussa, T., Mruk, V., Murphy, A., Muscal, E., Nadler, R., Nahal, B., Nanda, K., Nasah, N., Nassi, L., Nativ, S., Natter, M., Neely, J., Nelson, B., Newhall, L., Ng, L., Nicholas, J., Nicolai, R., Nigrovic, P., Nocton, J., Nolan, B., Oberle, E., Obispo, B., OʼBrien, B., OʼBrien, T., Okeke, O., Oliver, M., Olson, J., OʼNeil, K., Onel, K., Orandi, A., Orlando, M., Osei‐Onomah, S., Oz, R., Pagano, E., Paller, A., Pan, N., Panupattanapong, S., Pardeo, M., Paredes, J., Parsons, A., Patel, J., Pentakota, K., Pepmueller, P., Pfeiffer, T., Phillippi, K., Phillippi, K., Marafon, D. Pires, Ponder, L., Pooni, R., Prahalad, S., Pratt, S., Protopapas, S., Puplava, B., Quach, J., Quinlan‐Waters, M., Rabinovich, C., Radhakrishna, S., Rafko, J., Raisian, J., Rakestraw, A., Ramirez, C., Ramsay, E., Ramsey, S., Randell, R., Reed, A., Reed, A., Reed, A., Reid, H., Remmel, K., Repp, A., Reyes, A., Richmond, A., Riebschleger, M., Ringold, S., Riordan, M., Riskalla, M., Ritter, M., Rivas‐Chacon, R., Robinson, A., Rodela, E., Rodriquez, M., Rojas, K., Ronis, T., Rosenkranz, M., Rosolowski, B., Rothermel, H., Rothman, D., Roth‐Wojcicki, E., Rouster‐Stevens, K., Rubinstein, T., Ruth, N., Saad, N., Sabbagh, S., Sacco, E., Sadun, R., Sandborg, C., Sanni, A., Santiago, L., Sarkissian, A., Savani, S., Scalzi, L., Schanberg, L., Scharnhorst, S., Schikler, K., Schlefman, A., Schmeling, H., Schmidt, K., Schmitt, E., Schneider, R., Schollaert‐Fitch, K., Schulert, G., Seay, T., Seper, C., Shalen, J., Sheets, R., Shelly, A., Shenoi, S., Shergill, K., Shirley, J., Shishov, M., Shivers, C., Silverman, E., Singer, N., Sivaraman, V., Sletten, J., Smith, A., Smith, C., Smith, J., Smith, J., Smitherman, E., Soep, J., Son, M., Spence, S., Spiegel, L., Spitznagle, J., Sran, R., Srinivasalu, H., Stapp, H., Steigerwald, K., Rakovchik, Y. Sterba, Stern, S., Stevens, A., Stevens, B., Stevenson, R., Stewart, K., Stingl, C., Stokes, J., Stoll, M., Stringer, E., Sule, S., Sumner, J., Sundel, R., Sutter, M., Syed, R., Syverson, G., Szymanski, A., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tapani, S., Tarshish, G., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Terry, M., Tesher, M., Thatayatikom, A., Thomas, B., Tiffany, K., Ting, T., Tipp, A., Toib, D., Torok, K., Toruner, C., Tory, H., Toth, M., Tse, S., Tubwell, V., Twilt, M., Uriguen, S., Valcarcel, T., Van Mater, H., Vannoy, L., Varghese, C., Vasquez, N., Vazzana, K., Vehe, R., Veiga, K., Velez, J., Verbsky, J., Vilar, G., Volpe, N., von Scheven, E., Vora, S., Wagner, J., Wagner‐Weiner, L., Wahezi, D., Waite, H., Walker, J., Walters, H., Muskardin, T. Wampler, Waqar, L., Waterfield, M., Watson, M., Watts, A., Weiser, P., Weiss, J., Weiss, P., Wershba, E., White, A., Williams, C., Wise, A., Woo, J., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yee, M., Yen, E., Yeung, R., Yomogida, K., Yu, Q., Zapata, R., Zartoshti, A., Zeft, A., Zeft, R., Zhang, Y., Zhao, Y., Zhu, A., and Zic, C.

Published
2023
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6. Childhood‐Onset Lupus Nephritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: Short‐Term Kidney Status and Variation in Care

Author

Smitherman, Emily A., Chahine, Rouba A., Beukelman, Timothy, Lewandowski, Laura B., Rahman, A. K. M. Fazlur, Wenderfer, Scott E., Curtis, Jeffrey R., Hersh, Aimee O., Abel, N., Abulaban, K., Adams, A., Adams, M., Agbayani, R., Aiello, J., Akoghlanian, S., Alejandro, C., Allenspach, E., Alperin, R., Alpizar, M., Amarilyo, G., Ambler, W., Anderson, E., Ardoin, S., Armendariz, S., Baker, E., Balboni, I., Balevic, S., Ballenger, L., Ballinger, S., Balmuri, N., Barbar‐Smiley, F., Barillas‐Arias, L., Basiaga, M., Baszis, K., Becker, M., Bell‐Brunson, H., Beltz, E., Benham, H., Benseler, S., Bernal, W., Beukelman, T., Bigley, T., Binstadt, B., Black, C., Blakley, M., Bohnsack, J., Boland, J., Boneparth, A., Bowman, S., Bracaglia, C., Brooks, E., Brothers, M., Brown, A., Brunner, H., Buckley, M., Buckley, M., Bukulmez, H., Bullock, D., Cameron, B., Canna, S., Cannon, L., Carper, P., Cartwright, V., Cassidy, E., Cerracchio, L., Chalom, E., Chang, J., Chang‐Hoftman, A., Chauhan, V., Chira, P., Chinn, T., Chundru, K., Clairman, H., Co, D., Confair, A., Conlon, H., Connor, R., Cooper, A., Cooper, J., Cooper, S., Correll, C., Corvalan, R., Costanzo, D., Cron, R., Curiel‐Duran, L., Curington, T., Curry, M., Dalrymple, A., Davis, A., Davis, C., Davis, C., Davis, T., De Benedetti, F., De Ranieri, D., Dean, J., Dedeoglu, F., DeGuzman, M., Delnay, N., Dempsey, V., DeSantis, E., Dickson, T., Dingle, J., Donaldson, B., Dorsey, E., Dover, S., Dowling, J., Drew, J., Driest, K., Du, Q., Duarte, K., Durkee, D., Duverger, E., Dvergsten, J., Eberhard, A., Eckert, M., Ede, K., Edelheit, B., Edens, C., Edens, C., Edgerly, Y., Elder, M., Ervin, B., Fadrhonc, S., Failing, C., Fair, D., Falcon, M., Favier, L., Federici, S., Feldman, B., Fennell, J., Ferguson, I., Ferguson, P., Ferreira, B., Ferrucho, R., Fields, K., Finkel, T., Fitzgerald, M., Fleming, C., Flynn, O., Fogel, L., Fox, E., Fox, M., Franco, L., Freeman, M., Fritz, K., Froese, S., Fuhlbrigge, R., Fuller, J., George, N., Gerhold, K., Gerstbacher, D., Gilbert, M., Gillispie‐Taylor, M., Giverc, E., Godiwala, C., Goh, I., Goheer, H., Goldsmith, D., Gotschlich, E., Gotte, A., Gottlieb, B., Gracia, C., Graham, T., Grevich, S., Griffin, T., Griswold, J., Grom, A., Guevara, M., Guittar, P., Guzman, M., Hager, M., Hahn, T., Halyabar, O., Hammelev, E., Hance, M., Hanson, A., Harel, L., Haro, S., Harris, J., Harry, O., Hartigan, E., Hausmann, J., Hay, A., Hayward, K., Heiart, J., Hekl, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hill, P., Hillyer, S., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horwitz, M., Hsu, J., Huber, A., Huggins, J., Hui‐Yuen, J., Hung, C., Huntington, J., Huttenlocher, A., Ibarra, M., Imundo, L., Inman, C., Insalaco, A., Jackson, A., Jackson, S., James, K., Janow, G., Jaquith, J., Jared, S., Johnson, N., Jones, J., Jones, J., Jones, J., Jones, K., Jones, S., Joshi, S., Jung, L., Justice, C., Justiniano, A., Karan, N., Kaufman, K., Kemp, A., Kessler, E., Khalsa, U., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein‐Gitelman, M., Kompelien, B., Kosikowski, A., Kovalick, L., Kracker, J., Kramer, S., Kremer, C., Lai, J., Lam, J., Lang, B., Lapidus, S., Lapin, B., Lasky, A., Latham, D., Lawson, E., Laxer, R., Lee, P., Lee, P., Lee, T., Lentini, L., Lerman, M., Levy, D., Li, S., Lieberman, S., Lim, L., Lin, C., Ling, N., Lingis, M., Lo, M., Lovell, D., Lowman, D., Luca, N., Lvovich, S., Madison, C., Madison, J., Manzoni, S. Magni, Malla, B., Maller, J., Malloy, M., Mannion, M., Manos, C., Marques, L., Martyniuk, A., Mason, T., Mathus, S., McAllister, L., McCarthy, K., McConnell, K., McCormick, E., McCurdy, D., Stokes, P. McCurdy, McGuire, S., McHale, I., McMonagle, A., McMullen‐Jackson, C., Meidan, E., Mellins, E., Mendoza, E., Mercado, R., Merritt, A., Michalowski, L., Miettunen, P., Miller, M., Milojevic, D., Mirizio, E., Misajon, E., Mitchell, M., Modica, R., Mohan, S., Moore, K., Moorthy, L., Morgan, S., Dewitt, E. Morgan, Moss, C., Moussa, T., Mruk, V., Murphy, A., Muscal, E., Nadler, R., Nahal, B., Nanda, K., Nasah, N., Nassi, L., Nativ, S., Natter, M., Neely, J., Nelson, B., Newhall, L., Ng, L., Nicholas, J., Nicolai, R., Nigrovic, P., Nocton, J., Nolan, B., Oberle, E., Obispo, B., OʼBrien, B., OʼBrien, T., Okeke, O., Oliver, M., Olson, J., OʼNeil, K., Onel, K., Orandi, A., Orlando, M., Osei‐Onomah, S., Oz, R., Pagano, E., Paller, A., Pan, N., Panupattanapong, S., Pardeo, M., Paredes, J., Parsons, A., Patel, J., Pentakota, K., Pepmueller, P., Pfeiffer, T., Phillippi, K., Marafon, D. Pires, Phillippi, K., Ponder, L., Pooni, R., Prahalad, S., Pratt, S., Protopapas, S., Puplava, B., Quach, J., Quinlan‐Waters, M., Rabinovich, C., Radhakrishna, S., Rafko, J., Raisian, J., Rakestraw, A., Ramirez, C., Ramsay, E., Ramsey, S., Randell, R., Reed, A., Reed, A., Reed, A., Reid, H., Remmel, K., Repp, A., Reyes, A., Richmond, A., Riebschleger, M., Ringold, S., Riordan, M., Riskalla, M., Ritter, M., Rivas‐Chacon, R., Robinson, A., Rodela, E., Rodriquez, M., Rojas, K., Ronis, T., Rosenkranz, M., Rosolowski, B., Rothermel, H., Rothman, D., Roth‐Wojcicki, E., Rouster – Stevens, K., Rubinstein, T., Ruth, N., Saad, N., Sabbagh, S., Sacco, E., Sadun, R., Sandborg, C., Sanni, A., Santiago, L., Sarkissian, A., Savani, S., Scalzi, L., Schanberg, L., Scharnhorst, S., Schikler, K., Schlefman, A., Schmeling, H., Schmidt, K., Schmitt, E., Schneider, R., Schollaert‐Fitch, K., Schulert, G., Seay, T., Seper, C., Shalen, J., Sheets, R., Shelly, A., Shenoi, S., Shergill, K., Shirley, J., Shishov, M., Shivers, C., Silverman, E., Singer, N., Sivaraman, V., Sletten, J., Smith, A., Smith, C., Smith, J., Smith, J., Smitherman, E., Soep, J., Son, M., Spence, S., Spiegel, L., Spitznagle, J., Sran, R., Srinivasalu, H., Stapp, H., Steigerwald, K., Rakovchik, Y. Sterba, Stern, S., Stevens, A., Stevens, B., Stevenson, R., Stewart, K., Stingl, C., Stokes, J., Stoll, M., Stringer, E., Sule, S., Sumner, J., Sundel, R., Sutter, M., Syed, R., Syverson, G., Szymanski, A., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tapani, S., Tarshish, G., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Terry, M., Tesher, M., Thatayatikom, A., Thomas, B., Tiffany, K., Ting, T., Tipp, A., Toib, D., Torok, K., Toruner, C., Tory, H., Toth, M., Tse, S., Tubwell, V., Twilt, M., Uriguen, S., Valcarcel, T., Van Mater, H., Vannoy, L., Varghese, C., Vasquez, N., Vazzana, K., Vehe, R., Veiga, K., Velez, J., Verbsky, J., Vilar, G., Volpe, N., von Scheven, E., Vora, S., Wagner, J., Wagner‐Weiner, L., Wahezi, D., Waite, H., Walker, J., Walters, H., Muskardin, T. Wampler, Waqar, L., Waterfield, M., Watson, M., Watts, A., Weiser, P., Weiss, J., Weiss, P., Wershba, E., White, A., Williams, C., Wise, A., Woo, J., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yee, M., Yen, E., Yeung, R., Yomogida, K., Yu, Q., Zapata, R., Zartoshti, A., Zeft, A., Zeft, R., Zhang, Y., Zhao, Y., Zhu, A., and Zic, C.

Published
2023
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7. Ninja turtles: an experimental evaluation of potential anthropogenic barriers to movement for a freshwater turtle.

Author

Dowling, J. M., Bower, D. S., and Nordberg, E. J.

Subjects
*ROAD construction, *ANIMAL mechanics, *TURTLES, *LANDSCAPE changes, *AGRICULTURE
Abstract

Anthropogenic landscape change due to urbanization, agriculture, and resource extraction results in barriers within the landscape. Artificial structures such as roads, fences, levees, and dams limit the movement of some species and further fragment residual habitat. In this study, we investigated the ability of Eastern long‐necked turtles (Chelodina longicollis) to cross various terrestrial obstacles commonly encountered throughout their habitat. We tested two types of fences (chicken wire and hinged joint exclusion fencing) commonly used in agricultural systems and three sizes of rocks (gravel, cobbles, and boulders) often used for road construction, erosion control, and waterway stabilization. We examined the success rates of turtles in crossing obstacles, the effect of fatigue on crossing attempts, and the impact of individual boldness on movement behaviour. Turtles had high success rates in crossing gravel (85.4%), cobbles (86%), boulders (73.3%) and hinged joint exclusion fencing (94.7%). Turtles did not successfully cross chicken wire fencing (0%) despite 276 attempts. A significant fatigue effect occurred throughout the experiment, with turtles making an average of 3.94 (±1.42 SE) fewer attempts at the end of the experiment (day 18) than on day 1. Bolder turtles were faster at crossing obstacles, but boldness had no influence on obstacle‐crossing success. Our results highlight the need for thoughtful selection of waterway, wetland, and riparian bordering infrastructure and the fatiguing impact of constant exposure to anthropogenic barriers for wildlife. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets

Author

Chlap, P, Min, H, Dowling, J, Field, M, Cloak, K, Leong, T, Lee, M, Chu, J, Tan, J, Tran, P, Kron, T, Sidhom, M, Wiltshire, K, Keats, S, Kneebone, A, Haworth, A, Ebert, MA, Vinod, SK, Holloway, L, Chlap, P, Min, H, Dowling, J, Field, M, Cloak, K, Leong, T, Lee, M, Chu, J, Tan, J, Tran, P, Kron, T, Sidhom, M, Wiltshire, K, Keats, S, Kneebone, A, Haworth, A, Ebert, MA, Vinod, SK, and Holloway, L

Abstract

BACKGROUND AND OBJECTIVES: Bio-medical image segmentation models typically attempt to predict one segmentation that resembles a ground-truth structure as closely as possible. However, as medical images are not perfect representations of anatomy, obtaining this ground truth is not possible. A surrogate commonly used is to have multiple expert observers define the same structure for a dataset. When multiple observers define the same structure on the same image there can be significant differences depending on the structure, image quality/modality and the region being defined. It is often desirable to estimate this type of aleatoric uncertainty in a segmentation model to help understand the region in which the true structure is likely to be positioned. Furthermore, obtaining these datasets is resource intensive so training such models using limited data may be required. With a small dataset size, differing patient anatomy is likely not well represented causing epistemic uncertainty which should also be estimated so it can be determined for which cases the model is effective or not. METHODS: We use a 3D probabilistic U-Net to train a model from which several segmentations can be sampled to estimate the range of uncertainty seen between multiple observers. To ensure that regions where observers disagree most are emphasised in model training, we expand the Generalised Evidence Lower Bound (ELBO) with a Constrained Optimisation (GECO) loss function with an additional contour loss term to give attention to this region. Ensemble and Monte-Carlo dropout (MCDO) uncertainty quantification methods are used during inference to estimate model confidence on an unseen case. We apply our methodology to two radiotherapy clinical trial datasets, a gastric cancer trial (TOPGEAR, TROG 08.08) and a post-prostatectomy prostate cancer trial (RAVES, TROG 08.03). Each dataset contains only 10 cases each for model development to segment the clinical target volume (CTV) which was defined by mul

Published
2024

10. Down Syndrome–Associated Arthritis Cohort in the New Childhood Arthritis and Rheumatology Research Alliance Registry: Clinical Characteristics, Treatment, and Outcomes

Author

Jones, Jordan T., Smith, Chelsey, Becker, Mara L., Lovell, Daniel, Abel, N., Abulaban, K., Adams, A., Adams, M., Agbayani, R., Akoghlanian, S., Al Ahmed, O., Allenspach, E., Alperin, R., Alpizar, M., Amarilyo, G., Anastasopoulos, D., Anderson, E., Andrew, M., Ardalan, K., Ardoin, S., Baker, E., Balboni, I., Balevic, S., Ballenger, L., Ballinger, S., Balmuri, N., Barbar‐Smiley, F., Barillas‐Arias, L., Basiaga, M., Baszis, K., Bell‐Brunson, H., Beltz, E., Benham, H., Benseler, S., Bernal, W., Beukelman, T., Bigley, T., Binstadt, B., Birmingham, J., Black, C., Blakley, M., Bohnsack, J., Boland, J., Boneparth, A., Bowman, S., Brooks, E., Brown, A., Brunner, H., Buckley, M., Buckley, M., Bukulmez, H., Bullington, A., Bullock, D., Cameron, B., Canna, S., Cannon, L., Carpenter, S., Carper, P., Cartwright, V., Cassidy, E., Cerracchio, L., Chalom, E., Chang, J., Chang‐Hoftman, A., Chauhan, V., Chira, P., Chiu, Y., Chundru, K., Clairman, H., Co, D., Collins, K., Confair, A., Conlon, H., Connor, R., Cooper, A., Cooper, J., Cooper, S., Correll, C., Corvalan, R., Cospito, T., Costanzo, D., Cron, R., Curry, M., Dalrymple, A., Davis, A., Davis, C., Davis, C., Davis, T., De Ranieri, D., Dean, J., Dedeoglu, F., DeGuzman, M., Delnay, N., Dempsey, V., DeSantis, E., Dickson, T., Dingle, J., Dionizovik‐Dimanovski, M., Donaldson, B., Dorsey, E., Dover, S., Dowling, J., Drew, J., Driest, K., Drummond, K., Du, Q., Duarte, K., Durkee, D., Duverger, E., Dvergsten, J., Eberhard, A., Eckert, M., Ede, K., Edens, C., Edens, C., Edgerly, Y., Elder, M., Fadrhonc, S., Failing, C., Fair, D., Falcon, M., Favier, L., Feldman, B., Ferguson, I., Ferguson, P., Ferreira, B., Ferrucho, R., Fields, K., Finkel, T., Fitzgerald, M., Fleck, D., Fleming, C., Flynn, O., Fogel, L., Fox, E., Fox, M., Franco, L., Freeman, M., Froese, S., Fuhlbrigge, R., Fuller, J., George, N., Gergely, T., Gerhold, K., Gerstbacher, D., Gilbert, M., Gillispie‐Taylor, M., Giverc, E., Goh, I., Goldberg, T., Goldsmith, D., Gotschlich, E., Gotte, A., Gottlieb, B., Gracia, C., Graham, T., Grevich, S., Griffin, T., Griswold, J., Guevara, M., Guittar, P., Gurion, R., Guzman, M., Hahn, T., Halyabar, O., Hammelev, E., Hance, M., Hansman, E., Hanson, A., Harel, L., Haro, S., Harris, J., Hartigan, E., Hausmann, J., Hay, A., Hayward, K., Heiart, J., Hekl, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hillyer, S., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horwitz, M., Hsu, J., Huber, A., Huggins, J., Hughes, R., Hui‐Yuen, J., Hung, C., Huntington, J., Huttenlocher, A., Ibarra, M., Imundo, L., Inman, C., Iqbal, S., Jackson, A., Jackson, S., James, K., Janow, G., Jaquith, J., Jared, S., Johnson, N., Jones, J., Jones, J., Jones, J., Jones, K., Jones, S., Joshi, S., Jung, L., Justice, C., Justiniano, A., Kahn, P., Karan, N., Kaufman, K., Kemp, A., Kessler, E., Khaleel, M., Khalsa, U., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein‐Gitelman, M., Kosikowski, A., Kovalick, L., Kracker, J., Kramer, S., Kremer, C., Lai, J., Lang, B., Lapidus, S., Lasky, A., Latham, D., Lawson, E., Laxer, R., Lee, P., Lee, P., Lee, T., Lentini, L., Lerman, M., Levy, D., Li, S., Lieberman, S., Lim, L., Lin, C., Ling, N., Lingis, M., Lo, M., Lovell, D., Luca, N., Lvovich, S., Ma, M., Mackey, C., Madison, C., Madison, J., Malla, B., Maller, J., Malloy, M., Mannion, M., Manos, C., Marques, L., Martyniuk, A., Mason, T., Mathus, S., McAllister, L., McCallum, B., McCarthy, K., McConnell, K., McCurdy, D., McCurdy Stokes, P., McGuire, S., McHale, I., McHugh, A., McKibben, K., McMonagle, A., McMullen‐Jackson, C., Meidan, E., Mellins, E., Mendoza, E., Mercado, R., Merritt, A., Michalowski, L., Miettunen, P., Miller, M., Mirizio, E., Misajon, E., Mitchell, M., Modica, R., Mohan, S., Moore, K., Moorthy, L., Morgan, S., Morgan Dewitt, E., Morris, S., Moss, C., Moussa, T., Mruk, V., Mulvhihill, E., Muscal, E., Nahal, B., Nanda, K., Nassi, L., Nativ, S., Natter, M., Neely, J., Nelson, B., Newhall, L., Ng, L., Nguyen, E., Nicholas, J., Nigrovic, P., Nocton, J., Oberle, E., Obispo, B., O’Brien, B., O’Brien, T., O’Connor, M., Oliver, M., Olson, J., O’Neil, K., Onel, K., Orlando, M., Oz, R., Pagano, E., Paller, A., Pan, N., Panupattanapong, S., Paredes, J., Parsons, A., Patel, J., Pentakota, K., Pepmueller, P., Pfeiffer, T., Phillippi, K., Phillippi, K., Ponder, L., Pooni, R., Prahalad, S., Pratt, S., Protopapas, S., Punaro, M., Puplava, B., Quach, J., Quinlan‐Waters, M., Quintero, A., Rabinovich, C., Radhakrishna, S., Rafko, J., Raisian, J., Rakestraw, A., Ramsay, E., Ramsey, S., Reed, A., Reed, A., Reed, A., Reid, H., Reyes, A., Richmond, A., Riebschleger, M., Ringold, S., Riordan, M., Riskalla, M., Ritter, M., Rivas‐Chacon, R., Roberson, S., Robinson, A., Rodela, E., Rodriquez, M., Rojas, K., Ronis, T., Rosenkranz, M., Rosenwasser Raines, N., Rosolowski, B., Rothermel, H., Rothman, D., Roth‐Wojcicki, E., Rouster–Stevens, K., Rubinstein, T., Ruth, N., Saad, N., Sabatino, M., Sabbagh, S., Sadun, R., Sandborg, C., Sanni, A., Sarkissian, A., Savani, S., Scalzi, L., Schanberg, L., Scharnhorst, S., Schikler, K., Schmeling, H., Schmidt, K., Schmitt, E., Schneider, R., Schollaert‐Fitch, K., Schulert, G., Seay, T., Seper, C., Shalen, J., Sheets, R., Shelly, A., Shen, B., Shenoi, S., Shergill, K., Shiff, N., Shirley, J., Shishov, M., Silverman, E., Singer, N., Sivaraman, V., Sletten, J., Smith, A., Smith, C., Smith, J., Smith, J., Smitherman, E., Snider, C., Soep, J., Son, M., Soybilgic, A., Spence, S., Spiegel, L., Spitznagle, J., Sran, R., Srinivasalu, H., Stapp, H., Stasek, J., Steigerwald, K., Sterba Rakovchik, Y., Stern, S., Stevens, A., Stevens, B., Stevenson, R., Stewart, K., Stingl, C., Stokes, J., Stoll, M., Stoops, S., Strelow, J., Stringer, E., Sule, S., Sumner, J., Sundel, R., Sura, A., Sutter, M., Syed, R., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tapani, S., Tarshish, G., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Terry, M., Tesher, M., Thatayatikom, A., Thomas, B., Ting, T., Tipp, A., Toib, D., Torok, K., Toruner, C., Tory, H., Toth, M., Treemarcki, E., Tse, S., Tubwell, V., Twilt, M., Uriguen, S., Valcarcel, T., Van Mater, H., Vannoy, L., Varghese, C., Vasquez, N., Vazzana, K., Vega‐Fernandes, P., Vehe, R., Veiga, K., Velez, J., Verbsky, J., Volpe, N., von Scheven, E., Vora, S., Wagner, J., Wagner‐Weiner, L., Wahezi, D., Waite, H., Walker, J., Walters, H., Wampler Muskardin, T., Wang, C., Waqar, L., Waterfield, M., Watson, M., Watts, A., Waugaman, B., Weiser, P., Weiss, J., Weiss, P., Wershba, E., White, A., Williams, C., Wise, A., Woo, J., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yee, M., Yen, E., Yeung, R., Yomogida, K., Yu, Q., Zapata, R., Zartoshti, A., Zeft, A., Zeft, R., Zemel, L., Zhang, Y., Zhao, Y., Zhu, A., and Zic, C.

Published
2021
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11. Quantum Physics from A to Z

Author

Arndt, M., Aspelmeyer, M., Bernstein, H. J., Bertlmann, R., Brukner, C., Dowling, J. P., Eisert, J., Ekert, A., Fuchs, C. A., Greenberger, D. M., Horne, M. A., Jennewein, T., Kwiat, P. G., Mermin, N. D., Pan, J. -W., Rasel, E. M., Rauch, H., Rudolph, T. G., Salomon, C., Sergienko, A. V., Schmiedmayer, J., Simon, C., Vedral, V., Walther, P., Weihs, G., Zoller, P., and Zukowski, M.

Subjects
Quantum Physics
Abstract

This is a collection of statements gathered on the occasion of the Quantum Physics of Nature meeting in Vienna., Comment: 3 pages, Quantum Physics of Nature (QUPON) Conference, Vienna, Austria, May 22nd-26th, 2005; v4: more contributions

Published
2005

13. Global surveillance of trends in cancer survival 2000–14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries

Author

Bouzbid, S, Hamdi-Chérif, M, Zaidi, Z, Meguenni, K, Regagba, D, Bayo, S, Cheick Bougadari, T, Manraj, S S, Bendahhou, K, Fabowale, A, Bradshaw, D, Somdyala, N I M, Kumcher, I, Moreno, F, Calabrano, G H, Espinola, S B, Carballo Quintero, B, Fita, R, Diumenjo, M C, Laspada, W D, Ibañez, S G, Lima, C A, De Souza, P C F, Del Pino, K, Laporte, C, Curado, M P, de Oliveira, J C, Veneziano, C L A, Veneziano, D B, Latorre, M R D O, Tanaka, L F, Rebelo, M S, Santos, M O, Galaz, J C, Aparicio Aravena, M, Sanhueza Monsalve, J, Herrmann, D A, Vargas, S, Herrera, V M, Uribe, C J, Bravo, L E, Garcia, L S, Arias-Ortiz, N E, Morantes, D, Jurado, D M, Yépez Chamorro, M C, Delgado, S, Ramirez, M, Galán Alvarez, Y H, Torres, P, Martínez-Reyes, F, Jaramillo, L, Quinto, R, Castillo, J, Mendoza, M, Cueva, P, Yépez, J G, Bhakkan, B, Deloumeaux, J, Joachim, C, Macni, J, Carrillo, R, Shalkow Klincovstein, J, Rivera Gomez, R, Poquioma, E, Tortolero-Luna, G, Zavala, D, Alonso, R, Barrios, E, Eckstrand, A, Nikiforuk, C, Noonan, G, Turner, D, Kumar, E, Zhang, B, McCrate, F R, Ryan, S, MacIntyre, M, Saint-Jacques, N, Nishri, D E, McClure, C A, Vriends, K A, Kozie, S, Stuart-Panko, H, Freeman, T, George, J T, Brockhouse, J T, O'Brien, D K, Holt, A, Almon, L, Kwong, S, Morris, C, Rycroft, R, Mueller, L, Phillips, C E, Brown, H, Cromartie, B, Schwartz, A G, Vigneau, F, Levin, G M, Wohler, B, Bayakly, R, Ward, K C, Gomez, S L, McKinley, M, Cress, R, Green, M D, Miyagi, K, Ruppert, L P, Lynch, C F, Huang, B, Tucker, T C, Deapen, D, Liu, L, Hsieh, M C, Wu, X C, Schwenn, M, Gershman, S T, Knowlton, R C, Alverson, G, Copeland, G E, Bushhouse, S, Rogers, D B, Jackson-Thompson, J, Lemons, D, Zimmerman, H J, Hood, M, Roberts-Johnson, J, Rees, J R, Riddle, B, Pawlish, K S, Stroup, A, Key, C, Wiggins, C, Kahn, A R, Schymura, M J, Radhakrishnan, S, Rao, C, Giljahn, L K, Slocumb, R M, Espinoza, R E, Khan, F, Aird, K G, Beran, T, Rubertone, J J, Slack, S J, Garcia, L, Rousseau, D L, Janes, T A, Schwartz, S M, Bolick, S W, Hurley, D M, Whiteside, M A, Miller-Gianturco, P, Williams, M A, Herget, K, Sweeney, C, Johnson, A T, Keitheri Cheteri, M B, Migliore Santiago, P, Blankenship, S E, Farley, S, Borchers, R, Malicki, R, Espinoza, J R, Grandpre, J, Wilson, R, Edwards, B K, Mariotto, A, Lei, Y, Wang, N, Chen, J S, Zhou, Y, He, Y T, Song, G H, Gu, X P, Mei, D, Mu, H J, Ge, H M, Wu, T H, Li, Y Y, Zhao, D L, Jin, F, Zhang, J H, Zhu, F D, Junhua, Q, Yang, Y L, Jiang, C X, Biao, W, Wang, J, Li, Q L, Yi, H, Zhou, X, Dong, J, Li, W, Fu, F X, Liu, S Z, Chen, J G, Zhu, J, Li, Y H, Lu, Y Q, Fan, M, Huang, S Q, Guo, G P, Zhaolai, H, Wei, K, Zeng, H, Demetriou, A V, Mang, W K, Ngan, K C, Kataki, A C, Krishnatreya, M, Jayalekshmi, P A, Sebastian, P, Nandakumar, A, Malekzadeh, R, Roshandel, G, Keinan-Boker, L, Silverman, B G, Ito, H, Nakagawa, H, Sato, M, Tobori, F, Nakata, I, Teramoto, N, Hattori, M, Kaizaki, Y, Moki, F, Sugiyama, H, Utada, M, Nishimura, M, Yoshida, K, Kurosawa, K, Nemoto, Y, Narimatsu, H, Sakaguchi, M, Kanemura, S, Naito, M, Narisawa, R, Miyashiro, I, Nakata, K, Sato, S, Yoshii, M, Oki, I, Fukushima, N, Shibata, A, Iwasa, K, Ono, C, Nimri, O, Jung, K W, Won, Y J, Alawadhi, E, Elbasmi, A, Ab Manan, A, Adam, F, Sanjaajmats, E, Tudev, U, Ochir, C, Al Khater, A M, El Mistiri, M M, Teo, Y Y, Chiang, C J, Lee, W C, Buasom, R, Sangrajrang, S, Kamsa-ard, S, Wiangnon, S, Daoprasert, K, Pongnikorn, D, Leklob, A, Sangkitipaiboon, S, Geater, S L, Sriplung, H, Ceylan, O, Kög, I, Dirican, O, Köse, T, Gurbuz, T, Karaşahin, F E, Turhan, D, Aktaş, U, Halat, Y, Yakut, C I, Altinisik, M, Cavusoglu, Y, Türkköylü, A, Üçüncü, N, Hackl, M, Zborovskaya, A A, Aleinikova, O V, Henau, K, Van Eycken, L, Valerianova, Z, Yordanova, M R, Šekerija, M, Dušek, L, Zvolský, M, Storm, H, Innos, K, Mägi, M, Malila, N, Seppä, K, Jégu, J, Velten, M, Cornet, E, Troussard, X, Bouvier, A M, Guizard, A V, Bouvier, V, Launoy, G, Arveux, P, Maynadié, M, Mounier, M, Woronoff, A S, Daoulas, M, Robaszkiewicz, M, Clavel, J, Goujon, S, Lacour, B, Baldi, I, Pouchieu, C, Amadeo, B, Coureau, G, Orazio, S, Preux, P M, Rharbaoui, F, Marrer, E, Trétarre, B, Colonna, M, Delafosse, P, Ligier, K, Plouvier, S, Cowppli-Bony, A, Molinié, F, Bara, S, Ganry, O, Lapôtre-Ledoux, B, Grosclaude, P, Bossard, N, Uhry, Z, Bray, F, Piñeros, M, Stabenow, R, Wilsdorf-Köhler, H, Eberle, A, Luttmann, S, Löhden, I, Nennecke, A L, Kieschke, J, Sirri, E, Emrich, K, Zeissig, S R, Holleczek, B, Eisemann, N, Katalinic, A, Asquez, R A, Kumar, V, Petridou, E, Ólafsdóttir, E J, Tryggvadóttir, L, Clough-Gorr, K, Walsh, P M, Sundseth, H, Mazzoleni, G, Vittadello, F, Coviello, E, Cuccaro, F, Galasso, R, Sampietro, G, Giacomin, A, Magoni, M, Ardizzone, A, D'Argenzio, A, Castaing, M, Grosso, G, Lavecchia, A M, Sutera Sardo, A, Gola, G, Gatti, L, Ricci, P, Ferretti, S, Serraino, D, Zucchetto, A, Celesia, M V, Filiberti, R A, Pannozzo, F, Melcarne, A, Quarta, F, Russo, A G, Carrozzi, G, Cirilli, C, Cavalieri d'Oro, L, Rognoni, M, Fusco, M, Vitale, M F, Usala, M, Cusimano, R, Mazzucco, W, Michiara, M, Sgargi, P, Boschetti, L, Borciani, E, Seghini, P, Maule, M M, Merletti, F, Tumino, R, Mancuso, P, Vicentini, M, Cassetti, T, Sassatelli, R, Falcini, F, Giorgetti, S, Caiazzo, A L, Cavallo, R, Cesaraccio, R, Pirino, D R, Contrino, M L, Tisano, F, Fanetti, A C, Maspero, S, Carone, S, Mincuzzi, A, Candela, G, Scuderi, T, Gentilini, M A, Piffer, S, Rosso, S, Barchielli, A, Caldarella, A, Bianconi, F, Stracci, F, Contiero, P, Tagliabue, G, Rugge, M, Zorzi, M, Beggiato, S, Brustolin, A, Berrino, F, Gatta, G, Sant, M, Buzzoni, C, Mangone, L, Capocaccia, R, De Angelis, R, Zanetti, R, Maurina, A, Pildava, S, Lipunova, N, Vincerževskiené, I, Agius, D, Calleja, N, Siesling, S, Larønningen, S, Møller, B, Dyzmann-Sroka, A, Trojanowski, M, Góźdź, S, Mężyk, R, Mierzwa, T, Molong, L, Rachtan, J, Szewczyk, S, Błaszczyk, J, Kępska, K, Kościańska, B, Tarocińska, K, Zwierko, M, Drosik, K, Maksimowicz, K M, Purwin-Porowska, E, Reca, E, Wójcik-Tomaszewska, J, Tukiendorf, A, Grądalska-Lampart, M, Radziszewska, A U, Gos, A, Talerczyk, M, Wyborska, M, Didkowska, J A, Wojciechowska, U, Bielska-Lasota, M, Forjaz de Lacerda, G, Rego, R A, Bastos, J, Silva, M A, Antunes, L, Laranja Pontes, J, Mayer-da-Silva, A, Miranda, A, Blaga, L M, Coza, D, Gusenkova, L, Lazarevich, O, Prudnikova, O, Vjushkov, D M, Egorova, A G, Orlov, A E, Kudyakov, L A, Pikalova, L V, Adamcik, J, Safaei Diba, C, Primic-Žakelj, M, Zadnik, V, Larrañaga, N, Lopez de Munain, A, Herrera, A A, Redondas, R, Marcos-Gragera, R, Vilardell Gil, M L, Molina, E, Sánchez Perez, M J, Franch Sureda, P, Ramos Montserrat, M, Chirlaque, M D, Navarro, C, Ardanaz, E E, Guevara, M M, Fernández-Delgado, R, Peris-Bonet, R, Carulla, M, Galceran, J, Alberich, C, Vicente-Raneda, M, Khan, S, Pettersson, D, Dickman, P, Avelina, I, Staehelin, K, Camey, B, Bouchardy, C, Schaffar, R, Frick, H, Herrmann, C, Bulliard, J L, Maspoli-Conconi, M, Kuehni, C E, Redmond, S M, Bordoni, A, Ortelli, L, Chiolero, A, Konzelmann, I, Matthes, K L, Rohrmann, S, Broggio, J, Rashbass, J, Fitzpatrick, D, Gavin, A, Clark, D I, Deas, A J, Huws, D W, White, C, Montel, L, Rachet, B, Turculet, A D, Stephens, R, Chalker, E, Phung, H, Walton, R, You, H, Guthridge, S, Johnson, F, Gordon, P, D'Onise, K, Priest, K, Stokes, B C, Venn, A, Farrugia, H, Thursfield, V, Dowling, J, Currow, D, Hendrix, J, Lewis, C, Allemani, Claudia, Matsuda, Tomohiro, Di Carlo, Veronica, Harewood, Rhea, Matz, Melissa, Nikšić, Maja, Bonaventure, Audrey, Valkov, Mikhail, Johnson, Christopher J, Estève, Jacques, Ogunbiyi, Olufemi J, Azevedo e Silva, Gulnar, Chen, Wan-Qing, Eser, Sultan, Engholm, Gerda, Stiller, Charles A, Monnereau, Alain, Woods, Ryan R, Visser, Otto, Lim, Gek Hsiang, Aitken, Joanne, Weir, Hannah K, and Coleman, Michel P

Published
2018
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14. The Unruh effect in an Ion Trap: An Analogy

Author

Alsing, P. M., Dowling, J. P., and Milburn, G. J.

Subjects
Quantum Physics
Abstract

We propose an experiment in which the phonon excitation of ion(s) in a trap, with a trap frequency exponentially modulated at rate $\kappa$, exhibits a thermal spectrum with an "Unruh" temperature given by T=hbar*kappa. We discuss the similarities of this experiment to the usual Unruh effect for quantum fields and uniformly accelerated detectors. We demonstrate a new Unruh effect for detectors that respond to anti-normally ordered moments using the ion's first blue sideband transition., Comment: 16 pages, 3 figures, .pdf

Published
2004

15. Heralded Two-Photon Entanglement from Probabilistic Quantum Logic Operations on Multiple Parametric Down-Conversion Sources

Author

Pittman, T. B., Donegan, M. M., Fitch, M. J., Jacobs, B. C., Franson, J. D., Kok, P., Lee, H., and Dowling, J. P.

Subjects
Quantum Physics
Abstract

An ideal controlled-NOT gate followed by projective measurements can be used to identify specific Bell states of its two input qubits. When the input qubits are each members of independent Bell states, these projective measurements can be used to swap the post-selected entanglement onto the remaining two qubits. Here we apply this strategy to produce heralded two-photon polarization entanglement using Bell states that originate from independent parametric down-conversion sources, and a particular probabilistic controlled-NOT gate that is constructed from linear optical elements. The resulting implementation is closely related to an earlier proposal by Sliwa and Banaszek [quant-ph/0207117], and can be intuitively understood in terms of familiar quantum information protocols. The possibility of producing a ``pseudo-demand'' source of two-photon entanglement by storing and releasing these heralded pairs from independent cyclical quantum memory devices is also discussed., Comment: 5 pages, 4 figures; submitted to IEEE Journal of Selected Topics in Quantum Electronics, special issue on "Quantum Internet Technologies"

Published
2003
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16. Universal Quantum Gates for Single Cooper Pair Box Based Quantum Computing

Author

Echternach, P., Williams, C. P., Dultz, S. C., Delsing, P., Braunstein, S. L., and Dowling, J. P.

Subjects
Quantum Physics
Abstract

We describe a method for achieving arbitrary 1-qubit gates and controlled-NOT gates within the context of the Single Cooper Pair Box (SCB) approach to quantum computing. Such gates are sufficient to support universal quantum computation. Quantum gate operations are achieved by applying sequences of voltages and magnetic fluxes to single qubits or pairs of qubits. Neither the temporal duration, nor the starting time, of a gate operation is used as a control parameter. As a result, the quantum gates have a constant and known duration, and depend upon standard control parameter sequences regardless of when the gate operation begins. This simplifies the integration of quantum gates into parallel, synchronous, quantum circuits. In addition, we demonstrate the ability to fabricate such gates, and large-scale quantum circuits, using current e-beam lithography technology. These features make the SCB-based scheme a credible contender for practical quantum computer hardware., Comment: 8 pages, 3 imbedded figures

Published
2001

17. Juvenile Spondyloarthritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: High Biologic Use, Low Prevalence of HLA–B27, and Equal Sex Representation in Sacroiliitis

Author

Rumsey, Dax G., Lougee, Aimee, Matsouaka, Roland, Collier, David H., Schanberg, Laura E., Schenfeld, Jennifer, Shiff, Natalie J., Stoll, Matthew L., Stryker, Scott, Weiss, Pamela F., Beukelman, Timothy, Abel, N., Abulaban, K., Adams, A., Adams, M., Agbayani, R., Aiello, J., Akoghlanian, S., Alejandro, C., Allenspach, E., Alperin, R., Alpizar, M., Amarilyo, G., Ambler, W., Anderson, E., Ardoin, S., Armendariz, S., Baker, E., Balboni, I., Balevic, S., Ballenger, L., Ballinger, S., Balmuri, N., Barbar‐Smiley, F., Barillas‐Arias, L., Basiaga, M., Baszis, K., Becker, M., Bell‐Brunson, H., Beltz, E., Benham, H., Benseler, S., Bernal, W., Bigley, T., Binstadt, B., Black, C., Blakley, M., Bohnsack, J., Boland, J., Boneparth, A., Bowman, S., Bracaglia, C., Brooks, E., Brothers, M., Brown, A., Brunner, H., Buckley, M., Buckley, M., Bukulmez, H., Bullock, D., Cameron, B., Canna, S., Cannon, L., Carper, P., Cartwright, V., Cassidy, E., Cerracchio, L., Chalom, E., Chang, J., Chang‐Hoftman, A., Chauhan, V., Chira, P., Chinn, T., Chundru, K., Clairman, H., Co, D., Confair, A., Conlon, H., Connor, R., Cooper, A., Cooper, J., Cooper, S., Correll, C., Corvalan, R., Costanzo, D., Cron, R., Curiel‐Duran, L., Curington, T., Curry, M., Dalrymple, A., Davis, A., Davis, C., Davis, C., Davis, T., De Benedetti, F., De Ranieri, D., Dean, J., Dedeoglu, F., DeGuzman, M., Delnay, N., Dempsey, V., DeSantis, E., Dickson, T., Dingle, J., Donaldson, B., Dorsey, E., Dover, S., Dowling, J., Drew, J., Driest, K., Du, Q., Duarte, K., Durkee, D., Duverger, E., Dvergsten, J., Eberhard, A., Eckert, M., Ede, K., Edelheit, B., Edens, C., Edens, C., Edgerly, Y., Elder, M., Ervin, B., Fadrhonc, S., Failing, C., Fair, D., Falcon, M., Favier, L., Federici, S., Feldman, B., Fennell, J., Ferguson, I., Ferguson, P., Ferreira, B., Ferrucho, R., Fields, K., Finkel, T., Fitzgerald, M., Fleming, C., Flynn, O., Fogel, L., Fox, E., Fox, M., Franco, L., Freeman, M., Fritz, K., Froese, S., Fuhlbrigge, R., Fuller, J., George, N., Gerhold, K., Gerstbacher, D., Gilbert, M., Gillispie‐Taylor, M., Giverc, E., Godiwala, C., Goh, I., Goheer, H., Goldsmith, D., Gotschlich, E., Gotte, A., Gottlieb, B., Gracia, C., Graham, T., Grevich, S., Griffin, T., Griswold, J., Grom, A., Guevara, M., Guittar, P., Guzman, M., Hager, M., Hahn, T., Halyabar, O., Hammelev, E., Hance, M., Hanson, A., Harel, L., Haro, S., Harris, J., Harry, O., Hartigan, E., Hausmann, J., Hay, A., Hayward, K., Heiart, J., Hekl, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hill, P., Hillyer, S., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horwitz, M., Hsu, J., Huber, A., Huggins, J., Hui‐Yuen, J., Hung, C., Huntington, J., Huttenlocher, A., Ibarra, M., Imundo, L., Inman, C., Insalaco, A., Jackson, A., Jackson, S., James, K., Janow, G., Jaquith, J., Jared, S., Johnson, N., Jones, J., Jones, J., Jones, J., Jones, K., Jones, S., Joshi, S., Jung, L., Justice, C., Justiniano, A., Karan, N., Kaufman, K., Kemp, A., Kessler, E., Khalsa, U., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein‐Gitelman, M., Kompelien, B., Kosikowski, A., Kovalick, L., Kracker, J., Kramer, S., Kremer, C., Lai, J., Lam, J., Lang, B., Lapidus, S., Lapin, B., Lasky, A., Latham, D., Lawson, E., Laxer, R., Lee, P., Lee, P., Lee, T., Lentini, L., Lerman, M., Levy, D., Li, S., Lieberman, S., Lim, L., Lin, C., Ling, N., Lingis, M., Lo, M., Lovell, D., Lowman, D., Luca, N., Lvovich, S., Madison, C., Madison, J., Magni Manzoni, S., Malla, B., Maller, J., Malloy, M., Mannion, M., Manos, C., Marques, L., Martyniuk, A., Mason, T., Mathus, S., McAllister, L., McCarthy, K., McConnell, K., McCormick, E., McCurdy, D., McCurdy Stokes, P., McGuire, S., McHale, I., McMonagle, A., McMullen‐Jackson, C., Meidan, E., Mellins, E., Mendoza, E., Mercado, R., Merritt, A., Michalowski, L., Miettunen, P., Miller, M., Milojevic, D., Mirizio, E., Misajon, E., Mitchell, M., Modica, R., Mohan, S., Moore, K., Moorthy, L., Morgan, S., Morgan Dewitt, E., Moss, C., Moussa, T., Mruk, V., Murphy, A., Muscal, E., Nadler, R., Nahal, B., Nanda, K., Nasah, N., Nassi, L., Nativ, S., Natter, M., Neely, J., Nelson, B., Newhall, L., Ng, L., Nicholas, J., Nicolai, R., Nigrovic, P., Nocton, J., Nolan, B., Oberle, E., Obispo, B., O’Brien, B., O’Brien, T., Okeke, O., Oliver, M., Olson, J., O’Neil, K., Onel, K., Orandi, A., Orlando, M., Osei‐Onomah, S., Oz, R., Pagano, E., Paller, A., Pan, N., Panupattanapong, S., Pardeo, M., Paredes, J., Parsons, A., Patel, J., Pentakota, K., Pepmueller, P., Pfeiffer, T., Phillippi, K., Pires Marafon, D., Phillippi, K., Ponder, L., Pooni, R., Prahalad, S., Pratt, S., Protopapas, S., Puplava, B., Quach, J., Quinlan‐Waters, M., Rabinovich, C., Radhakrishna, S., Rafko, J., Raisian, J., Rakestraw, A., Ramirez, C., Ramsay, E., Ramsey, S., Randell, R., Reed, A., Reed, A., Reed, A., Reid, H., Remmel, K., Repp, A., Reyes, A., Richmond, A., Riebschleger, M., Ringold, S., Riordan, M., Riskalla, M., Ritter, M., Rivas‐Chacon, R., Robinson, A., Rodela, E., Rodriquez, M., Rojas, K., Ronis, T., Rosenkranz, M., Rosolowski, B., Rothermel, H., Rothman, D., Roth‐Wojcicki, E., Rouster – Stevens, K., Rubinstein, T., Ruth, N., Saad, N., Sabbagh, S., Sacco, E., Sadun, R., Sandborg, C., Sanni, A., Santiago, L., Sarkissian, A., Savani, S., Scalzi, L., Scharnhorst, S., Schikler, K., Schlefman, A., Schmeling, H., Schmidt, K., Schmitt, E., Schneider, R., Schollaert‐Fitch, K., Schulert, G., Seay, T., Seper, C., Shalen, J., Sheets, R., Shelly, A., Shenoi, S., Shergill, K., Shirley, J., Shishov, M., Shivers, C., Silverman, E., Singer, N., Sivaraman, V., Sletten, J., Smith, A., Smith, C., Smith, J., Smith, J., Smitherman, E., Soep, J., Son, M., Spence, S., Spiegel, L., Spitznagle, J., Sran, R., Srinivasalu, H., Stapp, H., Steigerwald, K., Sterba Rakovchik, Y., Stern, S., Stevens, A., Stevens, B., Stevenson, R., Stewart, K., Stingl, C., Stokes, J., Stringer, E., Sule, S., Sumner, J., Sundel, R., Sutter, M., Syed, R., Syverson, G., Szymanski, A., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tapani, S., Tarshish, G., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Terry, M., Tesher, M., Thatayatikom, A., Thomas, B., Tiffany, K., Ting, T., Tipp, A., Toib, D., Torok, K., Toruner, C., Tory, H., Toth, M., Tse, S., Tubwell, V., Twilt, M., Uriguen, S., Valcarcel, T., Van Mater, H., Vannoy, L., Varghese, C., Vasquez, N., Vazzana, K., Vehe, R., Veiga, K., Velez, J., Verbsky, J., Vilar, G., Volpe, N., von Scheven, E., Vora, S., Wagner, J., Wagner‐Weiner, L., Wahezi, D., Waite, H., Walker, J., Walters, H., Wampler Muskardin, T., Waqar, L., Waterfield, M., Watson, M., Watts, A., Weiser, P., Weiss, J., Wershba, E., White, A., Williams, C., Wise, A., Woo, J., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yee, M., Yen, E., Yeung, R., Yomogida, K., Yu, Q., Zapata, R., Zartoshti, A., Zeft, A., Zeft, R., Zhang, Y., Zhao, Y., Zhu, A., and Zic, C.

Published
2021
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19. P410 Liver involvement in myotubular and centronuclear Myopathy: data from the MTM & CNM patient registry

Author

Bullivant, J., primary, Ward, E., additional, Lennox, A., additional, Lawlor, M., additional, Jungbluth, H., additional, Beggs, A., additional, Graham, R., additional, Heidemann, M., additional, Wood, M., additional, Page, J., additional, Cowling, B., additional, Voermans, N., additional, Foley, R., additional, Dowling, J., additional, Bettolo, C Marini, additional, Kyrana, E., additional, and Dhawan, A., additional

Published
2023
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23. Potential Impact of the 2016 Consensus Definitions of Sepsis and Septic Shock on Future Sepsis Research

Author

Bennett, V., Board, J., McCracken, P., McGloughlin, S., Nanjayya, V., Teo, A., Hill, E., Jones, P., O’Brien, E., Sawtell, F., Schimanski, K., Wilson, D., Bellomo, R., Bolch, S., Eastwood, G., Kerr, F., Peak, L., Young, H., Edington, J., Fletcher, J., Smith, J., Ghelani, D., Nand, K., Sara, T., Cross, A., Flemming, D., Grummisch, M., Purdue, A., Fulton, E., Grove, K., Harney, A., Milburn, K., Millar, R., Mitchell, I., Rodgers, H., Scanlon, S., Coles, T., Connor, H., Dennett, J., Van Berkel, A., Barrington-Onslow, S., Henderson, S., Mehrtens, J., Dryburgh, J., Tankel, A., Braitberg, G., O’Bree, B., Shepherd, K., Vij, S., Allsop, S., Haji, D., Haji, K., Vuat, J., Bone, A., Elderkin, T., Orford, N., Ragg, M., Kelly, S., Stewart, D., Woodward, N., Harjola, V.-P., Okkonen, M., Pettilä, V., Sutinen, S., Wilkman, E., Fratzia, J., Halkhoree, J., Treloar, S., Ryan, K., Sandford, T., Walsham, J., Jenkins, C., Williamson, D., Burrows, J., Hawkins, D., Tang, C., Dimakis, A., Holdgate, A., Micallef, S., Parr, M., White, H., Morrison, L., Sosnowski, K., Ramadoss, R., Soar, N., Wood, J., Franks, M., Williams, A., Hogan, C., Song, R., Tilsley, A., Rainsford, D., Wells, R., Dowling, J., Galt, P., Lamac, T., Lightfoot, D., Walker, C., Braid, K., DeVillecourt, T., Tan, H.S., Seppelt, I., Chang, L.F., Cheung, W.S., Fok, S.K., Lam, P.K., Lam, S.M., So, H.M., Yan, W.W., Altea, A., Lancashire, B., Gomersall, C.D., Graham, C.A., Leung, P., Arora, S., Bass, F., Shehabi, Y., Isoardi, J., Isoardi, K., Powrie, D., Lawrence, S., Ankor, A., Chester, L., Davies, M., O’Connor, S., Poole, A., Soulsby, T., Sundararajan, K., Williams, J., Greenslade, J.H., MacIsaac, C., Gorman, K., Jordan, A., Moore, L., Ankers, S., Bird, S., Delaney, A., Fogg, T., Hickson, E., Jewell, T., Kyneur, K., O’Connor, A., Townsend, J., Yarad, E., Brown, S., Chamberlain, J., Cooper, J., Jenkinson, E., McDonald, E., Webb, S., Buhr, H., Coakley, J., Cowell, J., Hutch, D., Gattas, D., Keir, M., Rajbhandari, D., Rees, C., Baker, S., Roberts, B., Farone, E., Holmes, J., Santamaria, J., Winter, C., Finckh, A., Knowles, S., McCabe, J., Nair, P., Reynolds, C., Ahmed, B., Barton, D., Meaney, E., Nichol, A., Harris, R., Shields, L., Thomas, K., Karlsson, S., Kuitunen, A., Kukkurainen, A., Tenhunen, J., Varila, S., Ryan, N., Trethewy, C., Crosdale, J., Smith, J.C., Vellaichamy, M., Furyk, J., Gordon, G., Jones, L., Senthuran, S., Bates, S., Butler, J., French, C., Tippett, A., Kelly, J., Kwans, J., Murphy, M., O’Flynn, D., Kurenda, C., Otto, T., Peake, S., Raniga, V., Williams, P., Ho, H.F., Leung, A., Wu, H., Peake, Sandra L., Delaney, Anthony, Bailey, Michael, and Bellomo, Rinaldo

Published
2017
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24. British media, parliamentary and military accounts of the war in Bosnia 1992-95

Author

Dowling, J. P.

Subjects
355.009
Abstract

This dissertation concerns two very different representations of the war in Bosnia 1992-95, labelled here as Complexity and Simplicity. The former represented the Balkans in general and Bosnia in particular as places with a troubled and violent history, populated by people predisposed to ethnic violence, for whom the international community could do little and from whom it would do well to stay away from. The latter represented the war as the result of political choices made by politicians in Serbia. Although these two paradigms have been identified and examined before, existing explanations for such disparate interpretations of the war in Bosnia remain unsatisfactory. This dissertation focuses on British accounts of the war. It assesses the processes by which those representations were produced, and why Simplicity failed to overturn the complex consensus in Britain during the period. That assessment involves the description and documentation of the functional constraints and political agenda of those who witnessed or analysed the war. In addition, this research draws on the work of Vesna Goldsworthy to examine the cultural and literary factors that influenced British writers and speakers when representing Bosnia. Chapter one is a treatment of the representation of the battle for Sarajevo as disseminated by the UN. Chapter two analyses the simple work of those journalists who challenged the UN representation of the battle for Sarajevo. Chapter three assesses the ways in which intelligence was gathered and mismanaged away from the very public contest seen in Sarajevo, and in the first two chapters. Chapter four examines the role of the British army in representing the war, and chapter five with the ways in which the war correspondents and defence writers portrayed the British military deployment to Bosnia and the larger war in that country. Lastly, chapter six concerns the enunciation and defence of government policy in the House of Commons, as well as the ways in which simple opposition to that policy was organised and effectively sabotaged.

Published
2003

29. DISTAL RADIUS FRACTURE CLASSIFICATION USING DEEP LEARNING ALGORITHMS

Author

White, J., primary, Wadhawan, A., additional, Min, H., additional, Rabi, Y., additional, Schmutz, B., additional, Dowling, J., additional, Tchernegovski, A., additional, Bourgeat, P., additional, Tetsworth, K., additional, Fripp, J., additional, Mitchell, G., additional, Hacking, C., additional, Williamson, F., additional, and Schuetz, M., additional

Published
2023
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33. P.04 New developments and data highlights in the international myotubular and centronuclear myopathy patient registry

Author

McDonald, S., primary, Bullivant, J., additional, Lennox, A., additional, den Hollander, A., additional, Saegert, C., additional, Lynch, O., additional, Moat, D., additional, Graham, R., additional, Schara-Schmidt, U., additional, Bönnemann, C., additional, Jungbluth, H., additional, Buj-Bello, A., additional, Dowling, J., additional, and Marini-Bettolo, C., additional

Published
2022
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36. O.06 Long term outcomes for X-Linked myotubular Myopathy (XLMTM) with gene replacement therapy, resamirigene bilparvovec: Preliminary results from ASPIRO

Author

Shieh, P., primary, Kuntz, N., additional, Dowling, J., additional, Müller-Felber, W., additional, Blaschek, A., additional, Bönnemann, C., additional, Foley, R., additional, Saade, D., additional, Seferian, A., additional, Servais, L., additional, Bowden, A., additional, Sarazen, M., additional, Coats, J., additional, Lakshman, N., additional, Han, C., additional, Prasad, S., additional, Rico, S., additional, and Miller, W., additional

Published
2022
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39. Modelling effects of pile diameter

Author

Finn, W.D. Liam and Dowling, J.

Subjects
Earth sciences
Abstract

The most commonly used program for the analysis of piles under static lateral loading is LPILE. The program uses the nonlinear Winkler springs recommended by the American Petroleum Institute (API) to model soil-pile interaction. The p-y (load-displacement) curves were developed from field tests, with pile diameters in the range 0.324-0.67 m. When these p-y curves are used to analyze load tests on piles with larger diameters, the computed load-deflection curves underestimate the stiffnesses of the test piles. This effect is referred to as the pile diameter effect. In this technical note, a very different approach is presented to evaluate the pile diameter effect. Both LPILE and a continuum-based finite element program VERSAT-P3D were calibrated to closely simulate the results of two lateral load tests on small-diameter piles at two different sites. VERSAT-P3D modelled the volume of the pile and LPILE did not. Each program was used to develop p-y curves for increasingly larger pile diameters up to 2.0 m. An important finding for practice is that there was no pile diameter effect for displacements up to 60 mm. LPILE can be used with confidence in practice in this displacement range. Thereafter, the load-deflection curves from LPILE became softer and the pile diameter effect became evident. Key words: soil-pile interaction, pile diameter effect, calibrating load-displacement (p-y) curves, continuum modelling of piles, coping with pile diameter effect. Le programme le plus frequemment utilise pour analyser le comportement de pieux soumis a un chargement statique lateral est appele LPILE. Ce programme utilise les ressorts non lineaires de Winkler, comme le recommande l'American Petroleum Institute (API), pour modeliser les interactions sol-pieux. Les courbes p-y (chargement-deplacement) ont ete tracees a l'aide de donnees obtenues lors d'essais realises sur le terrain sur des pieux de diametre compris entre 0,324 et 0,67 m. Lorsque ces courbes p-y sont utilisees pour analyser les essais de chargement realises sur des pieux de plus grand diametre, on constate que les courbes chargement-deflexion calculees sous-estiment la rigidite des pieux experimentaux. Cet effet est appele <>. Dans le present article, une methode tres differente est presentee, qui permet d'evaluer cet effet. Le programme LPILE et un programme base sur la methode des elements finis en milieu continu, VERSAT-P3D, ont ete calibres pour pouvoir simuler avec precision les resultats de deux essais de chargement lateral effectues sur des pieux de petit diametre installes sur deux sites differents. Contrairement au programme LPILE, le programme VERSAT-P3D a permis de modeliser le volume des pieux. Chaque programme a servi a tracer des courbes p-y pour des pieux de diametre de plus en plus important, pouvant atteindre 2.0 m. On a constate l'absence d'effet de diametre de pieu dans le cas de deplacements inferieurs ou egal a 60 mm, une decouverte interessante sur un plan pratique. On peut donc sans hesiter mettre en pratique LPILE pour de tels deplacements. Par la suite, les courbes chargement-deflexion tracees a l'aide de LPILE se sont lissees et l'effet de diametre de pieu est devenu evident. [Traduit par la Redaction] Mots-cles: interaction sol-pieu, effet de diametre de pieu, calibrage des courbes chargement-deplacement (p-y), modelisation de pieux en milieu continu, prise en compte de l'effet de diametre de pieu., Introduction The most commonly used program for the analysis of piles under static lateral loading is LPILE (Ensoft Inc. 2012). The program uses nonlinear Winkler springs to model soil-pile interaction: [...]

Published
2016
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44. Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings

Author

Pang, S ; https://orcid.org/0000-0002-5668-833X, Field, M ; https://orcid.org/0000-0002-6169-6721, Dowling, J ; https://orcid.org/0000-0001-9349-2275, Vinod, S ; https://orcid.org/0000-0001-8075-6219, Holloway, L ; https://orcid.org/0000-0003-4337-2165, Sowmya, A ; https://orcid.org/0000-0001-9236-5063, Pang, S ; https://orcid.org/0000-0002-5668-833X, Field, M ; https://orcid.org/0000-0002-6169-6721, Dowling, J ; https://orcid.org/0000-0001-9349-2275, Vinod, S ; https://orcid.org/0000-0001-8075-6219, Holloway, L ; https://orcid.org/0000-0003-4337-2165, and Sowmya, A ; https://orcid.org/0000-0001-9236-5063

Abstract

Radiological images play a central role in radiotherapy, especially in target volume delineation. Radiomic feature extraction has demonstrated its potential for predicting patient outcome and cancer risk assessment prior to treatment. However, inherent methodological challenges such as severe class imbalance, small training sample size, multi-centre data and weak correlation of image representations to outcomes are yet to be addressed adequately. Current radiomic analysis relies on segmented images (e.g., of tumours) for feature extraction, leading to loss of important context information in surrounding tissue. In this work, we examine the correlation between radiomics and clinical outcomes by combining two data modalities: pre-treatment computerized tomography (CT) imaging data and contours of segmented gross tumour volumes (GTVs). We focus on a clinical head & neck cancer dataset and design an efficient convolutional neural network (CNN) architecture together with appropriate machine learning strategies to cope with the challenges. During the training process on two cohorts, our algorithm learns to produce clinical outcome predictions by automatically extracting radiomic features. Test results on two other cohorts show state-of-the-art performance in predicting different clinical endpoints (i.e., distant metastasis: AUC = 0.91; loco-regional failure: AUC = 0.78; overall survival: AUC = 0.70 on segmented CT data) compared to prior studies. Furthermore, we also conduct extensive experiments both on the whole CT dataset and a combination of CT and GTV contours to investigate different learning strategies for this task. For example, further experiments indicate that overall survival prediction significantly improves to 0.83 AUC by combining CT and GTV contours as inputs, and the combination provides more intuitive visual explanations for patient outcome predictions.

Published
2022

45. A statistical, voxelised model of prostate cancer for biologically optimised radiotherapy

Author

Finnegan, RN, Reynolds, HM, Ebert, MA, Sun, Y, Holloway, L, Sykes, JR, Dowling, J, Mitchell, C, Williams, SG, Murphy, DG, Haworth, A, Finnegan, RN, Reynolds, HM, Ebert, MA, Sun, Y, Holloway, L, Sykes, JR, Dowling, J, Mitchell, C, Williams, SG, Murphy, DG, and Haworth, A

Abstract

BACKGROUND AND PURPOSE: Radiation therapy (RT) is commonly indicated for treatment of prostate cancer (PC). Biologicallyoptimised RT for PC may improve disease-free survival. This requires accurate spatial localisation and characterisation of tumour lesions. We aimed to generate a statistical, voxelised biological model to complement in vivomultiparametric MRI data to facilitate biologically-optimised RT. MATERIAL AND METHODS: Ex vivo prostate MRI and histopathological imaging were acquired for 63 PC patients. These data were co-registered to derive three-dimensional distributions of graded tumour lesions and cell density. Novel registration processes were used to map these data to a common reference geometry. Voxelised statistical models of tumour probability and cell density were generated to create the PC biological atlas. Cell density models were analysed using the Kullback-Leibler divergence to compare normal vs. lognormal approximations to empirical data. RESULTS: A reference geometry was constructed using ex vivo MRI space, patient data were deformably registered using a novel anatomy-guided process. Substructure correspondence was maintained using peripheral zone definitions to address spatial variability in prostate anatomy between patients. Three distinct approaches to interpolation were designed to map contours, tumour annotations and cell density maps from histology into ex vivo MRI space. Analysis suggests a log-normal model provides a more consistent representation of cell density when compared to a linear-normal model. CONCLUSION: A biological model has been created that combines spatial distributions of tumour characteristics from a population into three-dimensional, voxelised, statistical models. This tool will be used to aid the development of biologically-optimised RT for PC patients.

Published
2022

46. Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia

Author

Durrani, N, Vukovic, D, van der Burgt, J, Antico, M, van Sloun, RJG, Canty, D, Steffens, M, Wang, A, Royse, A, Royse, C, Haji, K, Dowling, J, Chetty, G, Fontanarosa, D, Durrani, N, Vukovic, D, van der Burgt, J, Antico, M, van Sloun, RJG, Canty, D, Steffens, M, Wang, A, Royse, A, Royse, C, Haji, K, Dowling, J, Chetty, G, and Fontanarosa, D

Abstract

Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the identification of late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies. A common challenge in training such models is that annotating each frame of an ultrasound video requires high labelling effort. This effort in practice becomes prohibitive for large ultrasound datasets. To understand the impact of various degrees of labelling precision, we compare labelling strategies to train fully supervised models (frame-based method, higher labelling effort) and inaccurately supervised models (video-based methods, lower labelling effort), both of which yield binary predictions for LUS videos on a frame-by-frame level. We moreover introduce a novel sampled quaternary method which randomly samples only 10% of the LUS video frames and subsequently assigns (ordinal) categorical labels to all frames in the video based on the fraction of positively annotated samples. This method outperformed the inaccurately supervised video-based method and more surprisingly, the supervised frame-based approach with respect to metrics such as precision-recall area under curve (PR-AUC) and F1 score, despite being a form of inaccurate learning. We argue that our video-based method is more robust with respect to label noise and mitigates overfitting in a manner similar to label smoothing. The algorithm was trained using a ten-fold cross validation, which resulted in a PR-AUC score of 73% and an accuracy of 89%. While the efficacy of our classifier using the sampled quaternary method significantly lowers the labelling effort, it must be verified on a larger consolidation/collapse dataset, our proposed classifier using the sampled quaternary video-based method is clinically comparable with trained experts' performance.

Published
2022

47. Health Equity Implications of Missing Data Among Youths With Childhood‐OnsetSystemic Lupus Erythematosus: A Proof‐of‐ConceptStudy in the Childhood Arthritis and Rheumatology Research Alliance Registry

Author

Woo, Jennifer M. P., Simmonds, Faith, Dennos, Anne, Son, Mary Beth F., Lewandowski, Laura B., Rubinstein, Tamar B., Abel, N., Abulaban, K., Adams, A., Adams, M., Agbayani, R., Aiello, J., Akoghlanian, S., Alejandro, C., Allenspach, E., Alperin, R., Alpizar, M., Amarilyo, G., Ambler, W., Anderson, E., Ardoin, S., Armendariz, S., Baker, E., Balboni, I., Balevic, S., Ballenger, L., Ballinger, S., Balmuri, N., Barbar‐Smiley, F., Barillas‐Arias, L., Basiaga, M., Baszis, K., Becker, M., Bell‐Brunson, H., Beltz, E., Benham, H., Benseler, S., Bernal, W., Beukelman, T., Bigley, T., Binstadt, B., Black, C., Blakley, M., Bohnsack, J., Boland, J., Boneparth, A., Bowman, S., Bracaglia, C., Brooks, E., Brothers, M., Brown, A., Brunner, H., Buckley, M., Buckley, M., Bukulmez, H., Bullock, D., Cameron, B., Canna, S., Cannon, L., Carper, P., Cartwright, V., Cassidy, E., Cerracchio, L., Chalom, E., Chang, J., Chang‐Hoftman, A., Chauhan, V., Chira, P., Chinn, T., Chundru, K., Clairman, H., Co, D., Confair, A., Conlon, H., Connor, R., Cooper, A., Cooper, J., Cooper, S., Correll, C., Corvalan, R., Costanzo, D., Cron, R., Curiel‐Duran, L., Curington, T., Curry, M., Dalrymple, A., Davis, A., Davis, C., Davis, C., Davis, T., De Benedetti, F., De Ranieri, D., Dean, J., Dedeoglu, F., DeGuzman, M., Delnay, N., Dempsey, V., DeSantis, E., Dickson, T., Dingle, J., Donaldson, B., Dorsey, E., Dover, S., Dowling, J., Drew, J., Driest, K., Du, Q., Duarte, K., Durkee, D., Duverger, E., Dvergsten, J., Eberhard, A., Eckert, M., Ede, K., Edelheit, B., Edens, C., Edens, C., Edgerly, Y., Elder, M., Ervin, B., Fadrhonc, S., Failing, C., Fair, D., Falcon, M., Favier, L., Federici, S., Feldman, B., Fennell, J., Ferguson, I., Ferguson, P., Ferreira, B., Ferrucho, R., Fields, K., Finkel, T., Fitzgerald, M., Fleming, C., Flynn, O., Fogel, L., Fox, E., Fox, M., Franco, L., Freeman, M., Fritz, K., Froese, S., Fuhlbrigge, R., Fuller, J., George, N., Gerhold, K., Gerstbacher, D., Gilbert, M., Gillispie‐Taylor, M., Giverc, E., Godiwala, C., Goh, I., Goheer, H., Goldsmith, D., Gotschlich, E., Gotte, A., Gottlieb, B., Gracia, C., Graham, T., Grevich, S., Griffin, T., Griswold, J., Grom, A., Guevara, M., Guittar, P., Guzman, M., Hager, M., Hahn, T., Halyabar, O., Hammelev, E., Hance, M., Hanson, A., Harel, L., Haro, S., Harris, J., Harry, O., Hartigan, E., Hausmann, J., Hay, A., Hayward, K., Heiart, J., Hekl, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hill, P., Hillyer, S., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horwitz, M., Hsu, J., Huber, A., Huggins, J., Hui‐Yuen, J., Hung, C., Huntington, J., Huttenlocher, A., Ibarra, M., Imundo, L., Inman, C., Insalaco, A., Jackson, A., Jackson, S., James, K., Janow, G., Jaquith, J., Jared, S., Johnson, N., Jones, J., Jones, J., Jones, J., Jones, K., Jones, S., Joshi, S., Jung, L., Justice, C., Justiniano, A., Karan, N., Kaufman, K., Kemp, A., Kessler, E., Khalsa, U., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein‐Gitelman, M., Kompelien, B., Kosikowski, A., Kovalick, L., Kracker, J., Kramer, S., Kremer, C., Lai, J., Lam, J., Lang, B., Lapidus, S., Lapin, B., Lasky, A., Latham, D., Lawson, E., Laxer, R., Lee, P., Lee, P., Lee, T., Lentini, L., Lerman, M., Levy, D., Li, S., Lieberman, S., Lim, L., Lin, C., Ling, N., Lingis, M., Lo, M., Lovell, D., Lowman, D., Luca, N., Lvovich, S., Madison, C., Madison, J., Manzoni, S. Magni, Malla, B., Maller, J., Malloy, M., Mannion, M., Manos, C., Marques, L., Martyniuk, A., Mason, T., Mathus, S., McAllister, L., McCarthy, K., McConnell, K., McCormick, E., McCurdy, D., Stokes, P. McCurdy, McGuire, S., McHale, I., McMonagle, A., McMullen‐Jackson, C., Meidan, E., Mellins, E., Mendoza, E., Mercado, R., Merritt, A., Michalowski, L., Miettunen, P., Miller, M., Milojevic, D., Mirizio, E., Misajon, E., Mitchell, M., Modica, R., Mohan, S., Moore, K., Moorthy, L., Morgan, S., Dewitt, E. Morgan, Moss, C., Moussa, T., Mruk, V., Murphy, A., Muscal, E., Nadler, R., Nahal, B., Nanda, K., Nasah, N., Nassi, L., Nativ, S., Natter, M., Neely, J., Nelson, B., Newhall, L., Ng, L., Nicholas, J., Nicolai, R., Nigrovic, P., Nocton, J., Nolan, B., Oberle, E., Obispo, B., O'Brien, B., O'Brien, T., Okeke, O., Oliver, M., Olson, J., O'Neil, K., Onel, K., Orandi, A., Orlando, M., Osei‐Onomah, S., Oz, R., Pagano, E., Paller, A., Pan, N., Panupattanapong, S., Pardeo, M., Paredes, J., Parsons, A., Patel, J., Pentakota, K., Pepmueller, P., Pfeiffer, T., Phillippi, K., Phillippi, K., Marafon, D. Pires, Ponder, L., Pooni, R., Prahalad, S., Pratt, S., Protopapas, S., Puplava, B., Quach, J., Quinlan‐Waters, M., Rabinovich, C., Radhakrishna, S., Rafko, J., Raisian, J., Rakestraw, A., Ramirez, C., Ramsay, E., Ramsey, S., Randell, R., Reed, A., Reed, A., Reed, A., Reid, H., Remmel, K., Repp, A., Reyes, A., Richmond, A., Riebschleger, M., Ringold, S., Riordan, M., Riskalla, M., Ritter, M., Rivas‐Chacon, R., Robinson, A., Rodela, E., Rodriquez, M., Rojas, K., Ronis, T., Rosenkranz, M., Rosolowski, B., Rothermel, H., Rothman, D., Roth‐Wojcicki, E., Rouster‐Stevens, K., Rubinstein, T., Ruth, N., Saad, N., Sabbagh, S., Sacco, E., Sadun, R., Sandborg, C., Sanni, A., Santiago, L., Sarkissian, A., Savani, S., Scalzi, L., Schanberg, L., Scharnhorst, S., Schikler, K., Schlefman, A., Schmeling, H., Schmidt, K., Schmitt, E., Schneider, R., Schollaert‐Fitch, K., Schulert, G., Seay, T., Seper, C., Shalen, J., Sheets, R., Shelly, A., Shenoi, S., Shergill, K., Shirley, J., Shishov, M., Shivers, C., Silverman, E., Singer, N., Sivaraman, V., Sletten, J., Smith, A., Smith, C., Smith, J., Smith, J., Smitherman, E., Soep, J., Son, M., Spence, S., Spiegel, L., Spitznagle, J., Sran, R., Srinivasalu, H., Stapp, H., Steigerwald, K., Rakovchik, Y. Sterba, Stern, S., Stevens, A., Stevens, B., Stevenson, R., Stewart, K., Stingl, C., Stokes, J., Stoll, M., Stringer, E., Sule, S., Sumner, J., Sundel, R., Sutter, M., Syed, R., Syverson, G., Szymanski, A., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tapani, S., Tarshish, G., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Terry, M., Tesher, M., Thatayatikom, A., Thomas, B., Tiffany, K., Ting, T., Tipp, A., Toib, D., Torok, K., Toruner, C., Tory, H., Toth, M., Tse, S., Tubwell, V., Twilt, M., Uriguen, S., Valcarcel, T., Van Mater, H., Vannoy, L., Varghese, C., Vasquez, N., Vazzana, K., Vehe, R., Veiga, K., Velez, J., Verbsky, J., Vilar, G., Volpe, N., Scheven, E., Vora, S., Wagner, J., Wagner‐Weiner, L., Wahezi, D., Waite, H., Walker, J., Walters, H., Muskardin, T. Wampler, Waqar, L., Waterfield, M., Watson, M., Watts, A., Weiser, P., Weiss, J., Weiss, P., Wershba, E., White, A., Williams, C., Wise, A., Woo, J., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yee, M., Yen, E., Yeung, R., Yomogida, K., Yu, Q., Zapata, R., Zartoshti, A., Zeft, A., Zeft, R., Zhang, Y., Zhao, Y., Zhu, A., and Zic, C.

Abstract

Health disparities in childhood‐onset systemic lupus erythematosus (SLE) disproportionately impact marginalized populations. Socioeconomically patterned missing data can magnify existing health inequities by supporting inferences that may misrepresent populations of interest. Our objective was to assess missing data and subsequent health equity implications among participants with childhood‐onset SLE enrolled in a large pediatric rheumatology registry. We evaluated co‐missingness of 12 variables representing demographics, socioeconomic position, and clinical factors (e.g., disease‐related indices) using Childhood Arthritis and Rheumatology Research Alliance Registry childhood‐onset SLE enrollment data (2015–2022; n = 766). We performed logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs) for missing disease‐related indices at enrollment (Systemic Lupus Erythematosus Disease Activity Index 2000 [SLEDAI‐2K] and/or Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index [SDI]) associated with data missingness. We used linear regression to assess the association between socioeconomic factors and SLEDAI‐2K at enrollment using 3 analytic methods for missing data: complete case analysis, multiple imputation, and nonprobabilistic bias analyses, with missing values imputed to represent extreme low or high disadvantage. On average, participants were missing 6.2% of data, with over 50% of participants missing at least 1 variable. Missing data correlated most closely with variables within data categories (i.e., demographic). Government‐assisted health insurance was associated with missing SLEDAI‐2K and/or SDI scores compared to private health insurance (OR 2.04 [95% CI 1.22, 3.41]). The different analytic approaches resulted in varying analytic sample sizes and fundamentally conflicting estimated associations. Our results support intentional evaluation of missing data to inform effect estimate interpretation and critical assessment of causal statements that might otherwise misrepresent health inequities.

Published
2023
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