Zobrazeno 1 - 10
of 13 444
pro vyhledávání: '"A., Still"'
Autor:
Aguillard, D. P., Albahri, T., Allspach, D., Anisenkov, A., Badgley, K., Baeßler, S., Bailey, I., Bailey, L., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Barzi, E., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Braun, S., Bressler, M., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chapelain, A., Chappa, S., Charity, S., Chen, C., Cheng, M., Chislett, R., Chu, Z., Chupp, T. E., Claessens, C., Convery, M. E., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Sciascio, G., Donati, S., Drendel, B., Driutti, A., Duginov, V. N., Eads, M., Edmonds, A., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fienberg, A. T., Fioretti, A., Flay, D., Foster, S. B., Friedsam, H., Froemming, N. S., Gabbanini, C., Gaines, I., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Goodenough, L., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Hertzog, D. W., Hesketh, G., Hess, E., Hibbert, A., Hodge, Z., Hong, K. W., Hong, R., Hu, T., Hu, Y., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D. S., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kinnaird, N., Kraegeloh, E., Krylov, V. A., Kuchinskiy, N. A., Labe, K. R., LaBounty, J., Lancaster, M., Lee, S., Li, B., Li, D., Li, L., Logashenko, I., Campos, A. Lorente, Lu, Z., Lucà, A., Lukicov, G., Lusiani, A., Lyon, A. L., MacCoy, B., Madrak, R., Makino, K., Mastroianni, S., Miller, J. P., Miozzi, S., Mitra, B., Morgan, J. P., Morse, W. M., Mott, J., Nath, A., Ng, J. K., Nguyen, H., Oksuzian, Y., Omarov, Z., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Qureshi, M. U. H., Ramachandran, S., Ramberg, E., Reimann, R., Roberts, B. L., Rubin, D. L., Sakurai, M., Santi, L., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Shemyakin, D., Sorbara, M., Stapleton, J., Still, D., Stöckinger, D., Stoughton, C., Stratakis, D., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Volnykh, V. P., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wu, Y., Yu, B., Yucel, M., Zeng, Y., Zhang, C.
We present details on a new measurement of the muon magnetic anomaly, $a_\mu = (g_\mu -2)/2$. The result is based on positive muon data taken at Fermilab's Muon Campus during the 2019 and 2020 accelerator runs. The measurement uses $3.1$ GeV$/c$ pola
Externí odkaz:
http://arxiv.org/abs/2402.15410
Autor:
Lasko, Thomas A., Still, John M., Li, Thomas Z., Mota, Marco Barbero, Stead, William W., Strobl, Eric V., Landman, Bennett A., Maldonado, Fabien
Insufficiently precise diagnosis of clinical disease is likely responsible for many treatment failures, even for common conditions and treatments. With a large enough dataset, it may be possible to use unsupervised machine learning to define clinical
Externí odkaz:
http://arxiv.org/abs/2402.05802
Autor:
Blanton, Michael R., Evans, Janet D., Norman, Dara, O'Mullane, William, Price-Whelan, Adrian, Rizzi, Luca, Accomazzi, Alberto, Ansdell, Megan, Bailey, Stephen, Barrett, Paul, Berukoff, Steven, Bolton, Adam, Borrill, Julian, Cruz, Kelle, Dalcanton, Julianne, Desai, Vandana, Dubois-Felsmann, Gregory P., Economou, Frossie, Ferguson, Henry, Field, Bryan, Foreman-Mackey, Dan, Forero-Romero, Jaime, Gaffney, Niall, Gillies, Kim, Graham, Matthew J., Gwyn, Steven, Hennawi, Joseph, Hughes, Anna L. H., Jaffe, Tess, Jagannathan, Preshanth, Jenness, Tim, Jurić, Mario, Kavelaars, JJ, Kee, Kerk, Kern, Jeff, Kremin, Anthony, Labrie, Kathleen, Lacy, Mark, Law, Casey, Martínez-Galarza, Rafael, McCully, Curtis, McEnery, Julie, Miller, Bryan, Moriarty, Christopher, Muench, August, Muna, Demitri, Murillo, Angela, Narayan, Gautham, Neill, James D., Nikutta, Robert, Ojha, Roopesh, Olsen, Knut, O'Meara, John, Rusholme, Ben, Seaman, Robert, Starkman, Nathaniel, Still, Martin, Stoehr, Felix, Swinbank, John D., Teuben, Peter, Toledo, Ignacio, Tollerud, Erik, Turk, Matthew D., Turner, James, Vacca, William, Vieira, Joaquin, Weaver, Benjamin, Weiner, Benjamin, Weiss, Jason, Westfall, Kyle, Willman, Beth, Zhao, Lily
The astronomical community is grappling with the increasing volume and complexity of data produced by modern telescopes, due to difficulties in reducing, accessing, analyzing, and combining archives of data. To address this challenge, we propose the
Externí odkaz:
http://arxiv.org/abs/2311.04272
Autor:
Mbalinda SN, Kaddumukasa M, Najjuma JN, Birungi DR, Kaddumukasa MN, Levin JB, Still CH, Burant CJ, Modi AC, Katabira ET, Sajatovic M
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol Volume 20, Pp 2277-2286 (2024)
Scovia Nalugo Mbalinda,1,* Mark Kaddumukasa,2,* Josephine Nambi Najjuma,3,* Doreen R Birungi,2,* Martin Ntambi Kaddumukasa,1,4,* Jennifer B Levin,5,* Carolyn Harmon Still,6,* Christopher J Burant,7,* Avani C Modi,8,&as
Externí odkaz:
https://doaj.org/article/26ffa607594d479691208da359048ea5
Autor:
Alex W. Dye, Rachel M. Houtman, Peng Gao, William R. L. Anderegg, Christopher J. Fettig, Jeffrey A. Hicke, John B. Kim, Christopher J. Still, Kevin Young, Karin L. Riley
Publikováno v:
Carbon Balance and Management, Vol 19, Iss 1, Pp 1-25 (2024)
Abstract In this review, we discuss current research on forest carbon risk from natural disturbance under climate change for the United States, with emphasis on advancements in analytical mapping and modeling tools that have potential to drive resear
Externí odkaz:
https://doaj.org/article/d0ba62db4aa244e68526f122238d39f8
Publikováno v:
BMC Veterinary Research, Vol 20, Iss 1, Pp 1-15 (2024)
Abstract Certain classes of antibiotics, including tetracyclines and macrolides, are known to exert immune suppressive effects in other species but the immune modulatory effects of these antibiotics have not been previously studied in cattle. To addr
Externí odkaz:
https://doaj.org/article/3db7dff89bd8480d85277a16fde57da9
Autor:
Daimer, Dorian, Still, Susanne
Information engines model ``Maxwell's demon" mechanistically. However, the demon's strategy is pre-described by an external experimenter, and information engines are conveniently designed such that observables contain complete information about varia
Externí odkaz:
http://arxiv.org/abs/2309.10580
Autor:
Daimer, Dorian, Still, Susanne
An analytical characterization of thermodynamically rational agent behaviour is obtained for a simple, yet non--trivial example of a ``Maxwell's demon" operating with partial information. Our results provide the first fully transparent physical under
Externí odkaz:
http://arxiv.org/abs/2309.10476
Autor:
Aguillard, D. P., Albahri, T., Allspach, D., Anisenkov, A., Badgley, K., Baeßler, S., Bailey, I., Bailey, L., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Barzi, E., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Braun, S., Bressler, M., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chapelain, A., Chappa, S., Charity, S., Chen, C., Cheng, M., Chislett, R., Chu, Z., Chupp, T. E., Claessens, C., Convery, M. E., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Sciascio, G., Drendel, B., Driutti, A., Duginov, V. N., Eads, M., Edmonds, A., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fienberg, A. T., Fioretti, A., Flay, D., Foster, S. B., Friedsam, H., Froemming, N. S., Gabbanini, C., Gaines, I., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Goodenough, L., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Hertzog, D. W., Hesketh, G., Hess, E., Hibbert, A., Hodge, Z., Hong, K. W., Hong, R., Hu, T., Hu, Y., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D. S., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kinnaird, N., Kraegeloh, E., Krylov, V. A., Kuchinskiy, N. A., Labe, K. R., LaBounty, J., Lancaster, M., Lee, S., Li, B., Li, D., Li, L., Logashenko, I., Campos, A. Lorente, Lu, Z., Lucà, A., Lukicov, G., Lusiani, A., Lyon, A. L., MacCoy, B., Madrak, R., Makino, K., Mastroianni, S., Miller, J. P., Miozzi, S., Mitra, B., Morgan, J. P., Morse, W. M., Mott, J., Nath, A., Ng, J. K., Nguyen, H., Oksuzian, Y., Omarov, Z., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Qureshi, M. U. H., Ramachandran, S., Ramberg, E., Reimann, R., Roberts, B. L., Rubin, D. L., Santi, L., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Shemyakin, D., Sorbara, M., Stapleton, J., Still, D., Stöckinger, D., Stoughton, C., Stratakis, D., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Volnykh, V. P., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wu, Y., Yu, B., Yucel, M., Zeng, Y., Zhang, C.
Publikováno v:
Phys. Rev. Lett. 131, 161802 (2023)
We present a new measurement of the positive muon magnetic anomaly, $a_\mu \equiv (g_\mu - 2)/2$, from the Fermilab Muon $g\!-\!2$ Experiment using data collected in 2019 and 2020. We have analyzed more than 4 times the number of positrons from muon
Externí odkaz:
http://arxiv.org/abs/2308.06230
Autor:
Li, Thomas Z., Still, John M., Xu, Kaiwen, Lee, Ho Hin, Cai, Leon Y., Krishnan, Aravind R., Gao, Riqiang, Khan, Mirza S., Antic, Sanja, Kammer, Michael, Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A., Lasko, Thomas A.
The accuracy of predictive models for solitary pulmonary nodule (SPN) diagnosis can be greatly increased by incorporating repeat imaging and medical context, such as electronic health records (EHRs). However, clinically routine modalities such as ima
Externí odkaz:
http://arxiv.org/abs/2304.02836