Zobrazeno 1 - 10
of 255 277
pro vyhledávání: '"Richards BE"'
Autor:
Areed, Wala Draidi, Nguyen, Thi Thanh Thao, Do, Kien Quoc, Nguyen, Thinh, Bui, Vinh, Nelson, Elisabeth, Warren, Joshua L., Doan, Quang-Van, Sinh, Nam Vu, Osborne, Nicholas, Richards, Russell, Tran, Nu Quy Linh, Le, Hong, Pham, Tuan, Hung, Trinh Manh, Nghiem, Son, Phung, Hai, Chu, Cordia, Dubrow, Robert, Weinberger, Daniel M., Phung, Dung
The Mekong Delta Region of Vietnam faces increasing dengue risks driven by urbanization, globalization, and climate change. This study introduces a probabilistic forecasting model for predicting dengue incidence and outbreaks with one to three month
Externí odkaz:
http://arxiv.org/abs/2412.15645
This paper presents a novel deep learning framework for estimating multivariate joint extremes of metocean variables, based on the Semi-Parametric Angular-Radial (SPAR) model. When considered in polar coordinates, the problem of modelling multivariat
Externí odkaz:
http://arxiv.org/abs/2412.15808
Autor:
Richards, Kieran, Fleetwood, Kelly, Prigge, Regina, Missier, Paolo, Barnes, Michael, Reynolds, Nick J., Guthrie, Bruce, Seth, Sohan
The co-occurrence of multiple long-term conditions (MLTC), or multimorbidity, in an individual can reduce their lifespan and severely impact their quality of life. Exploring the longitudinal patterns, e.g. clusters, of disease accrual can help better
Externí odkaz:
http://arxiv.org/abs/2412.07657
Autor:
Aalbers, J., Akerib, D. S., Musalhi, A. K. Al, Alder, F., Amarasinghe, C. S., Ames, A., Anderson, T. J., Angelides, N., Araújo, H. M., Armstrong, J. E., Arthurs, M., Baker, A., Balashov, S., Bang, J., Bargemann, J. W., Barillier, E. E., Bauer, D., Beattie, K., Benson, T., Bhatti, A., Biekert, A., Biesiadzinski, T. P., Birch, H. J., Bishop, E., Blockinger, G. M., Boxer, B., Brew, C. A. J., Brás, P., Burdin, S., Buuck, M., Carmona-Benitez, M. C., Carter, M., Chawla, A., Chen, H., Cherwinka, J. J., Chin, Y. T., Chott, N. I., Converse, M. V., Coronel, R., Cottle, A., Cox, G., Curran, D., Dahl, C. E., Darlington, I., Dave, S., David, A., Delgaudio, J., Dey, S., de Viveiros, L., Di Felice, L., Ding, C., Dobson, J. E. Y., Druszkiewicz, E., Dubey, S., Eriksen, S. R., Fan, A., Fayer, S., Fearon, N. M., Fieldhouse, N., Fiorucci, S., Flaecher, H., Fraser, E. D., Fruth, T. M. A., Gaitskell, R. J., Geffre, A., Genovesi, J., Ghag, C., Ghosh, A., Gibbons, R., Gokhale, S., Green, J., van der Grinten, M. G. D., Haiston, J. J., Hall, C. R., Hall, T. J., Han, S., Hartigan-O'Connor, E., Haselschwardt, S. J., Hernandez, M. A., Hertel, S. A., Heuermann, G., Homenides, G. J., Horn, M., Huang, D. Q., Hunt, D., Jacquet, E., James, R. S., Johnson, J., Kaboth, A. C., Kamaha, A. C., K., Meghna K., Khaitan, D., Khazov, A., Khurana, I., Kim, J., Kim, Y. D., Kingston, J., Kirk, R., Kodroff, D., Korley, L., Korolkova, E. V., Kraus, H., Kravitz, S., Kreczko, L., Kudryavtsev, V. A., Lawes, C., Leonard, D. S., Lesko, K. T., Levy, C., Lin, J., Lindote, A., Lippincott, W. H., Lopes, M. I., Lorenzon, W., Lu, C., Luitz, S., Majewski, P. A., Manalaysay, A., Mannino, R. L., Maupin, C., McCarthy, M. E., McDowell, G., McKinsey, D. N., McLaughlin, J., McLaughlin, J. B., McMonigle, R., Mizrachi, E., Monte, A., Monzani, M. E., Mendoza, J. D. Morales, Morrison, E., Mount, B. J., Murdy, M., Murphy, A. St. J., Naylor, A., Nelson, H. N., Neves, F., Nguyen, A., O'Brien, C. L., Olcina, I., Oliver-Mallory, K. C., Orpwood, J., Oyulmaz, K. Y, Palladino, K. J., Palmer, J., Pannifer, N. J., Parveen, N., Patton, S. J., Penning, B., Pereira, G., Perry, E., Pershing, T., Piepke, A., Qie, Y., Reichenbacher, J., Rhyne, C. A., Richards, A., Riffard, Q., Rischbieter, G. R. C., Ritchey, E., Riyat, H. S., Rosero, R., Rushton, T., Rynders, D., Santone, D., Sazzad, A. B. M. R., Schnee, R. W., Sehr, G., Shafer, B., Shaw, S., Shutt, T., Silk, J. J., Silva, C., Sinev, G., Siniscalco, J., Smith, R., Solovov, V. N., Sorensen, P., Soria, J., Stancu, I., Stevens, A., Stifter, K., Suerfu, B., Sumner, T. J., Szydagis, M., Tiedt, D. R., Timalsina, M., Tong, Z., Tovey, D. R., Tranter, J., Trask, M., Tripathi, M., Usón, A., Vacheret, A., Vaitkus, A. C., Valentino, O., Velan, V., Wang, A., Wang, J. J., Wang, Y., Watson, J. R., Weeldreyer, L., Whitis, T. J., Wild, K., Williams, M., Wisniewski, W. J., Wolf, L., Wolfs, F. L. H., Woodford, S., Woodward, D., Wright, C. J., Xia, Q., Xu, J., Xu, Y., Yeh, M., Yeum, D., Zha, W., Zweig, E. A.
We report on a search for millicharged particles (mCPs) produced in cosmic ray proton atmospheric interactions using data collected during the first science run of the LUX-ZEPLIN experiment. The mCPs produced by two processes -- meson decay and proto
Externí odkaz:
http://arxiv.org/abs/2412.04854
Autor:
Gadhia, Nandini, Smyrnakis, Michalis, Liu, Po-Yu, Blake, Damer, Hay, Melanie, Nguyen, Anh, Richards, Dominic, Xia, Dong, Krishna, Ritesh
Graph-based machine learning methods are useful tools in the identification and prediction of variation in genetic data. In particular, the comprehension of phenotypic effects at the cellular level is an accelerating research area in pharmacogenomics
Externí odkaz:
http://arxiv.org/abs/2412.03744
Topological boundary modes utilizing valley mode waveguides have opened opportunities in, for instance, the design of high transmission waveguides with tolerance to geometrical defects and sharp bends. Applications of these waveguides include linear
Externí odkaz:
http://arxiv.org/abs/2412.02388
For a given positive integer $m$, the concept of {\it hyperdeterminantal total positivity} is defined for a kernel $K:\R^{2m} \to \R$, thereby generalizing the classical concept of total positivity. Extending the fundamental example, $K(x,y) = \exp(x
Externí odkaz:
http://arxiv.org/abs/2412.03000
We propose three completely data-driven methods for estimating the real cohomology groups $H^k (X ; \mathbb{R})$ of a compact metric-measure space $(X, d_X, \mu_X)$ embedded in a metric-measure space $(Y,d_Y,\mu_Y)$, given a finite set of points $S$
Externí odkaz:
http://arxiv.org/abs/2411.19894
Autor:
Richards, B. A., Ristoff, N., Smits, J., Perez, A. Jeronimo, Fescenko, I., Aiello, M. D., Hubert, F., Silani, Y., Mosavian, N., Ziabari, M. Saleh, Berzins, A., Damron, J. T., Kehayias, P., Huber, D. L., Mounce, A. M., Lilly, M. P., Karaulanov, T., Jarmola, A., Laraoui, A., Acosta, V. M.
Superparamagnetic iron-oxide nanoparticles (SPIONs) are promising probes for biomedical imaging, but the heterogeneity of their magnetic properties is difficult to characterize with existing methods. Here, we perform widefield imaging of the stray ma
Externí odkaz:
http://arxiv.org/abs/2411.13087
Autor:
Danilovich, T., Richards, A. M. S., Van de Sande, M., Gottlieb, C. A., Millar, T. J., Karakas, A. I., Müller, H. S. P., Justtanont, K., Plane, J. M. C., Etoka, S., Wallström, S. H. J., Decin, L., Engels, D., Groenewegen, M. A. T., Kerschbaum, F., Khouri, T., de Koter, A., Olofsson, H., Paladini, C., Stancliffe, R. J.
We analyse continuum and molecular emission, observed with ALMA, from the dust-enshrouded intermediate-mass AGB star OH 30.1 -0.7. We find a secondary peak in the continuum maps, "feature B", separated by 4.6" from the AGB star, which corresponds to
Externí odkaz:
http://arxiv.org/abs/2411.08235