Zobrazeno 1 - 10
of 684 079
pro vyhledávání: '"King AS"'
Autor:
Mosberg Aleksander Buseth, Vollmer Christian, Kepaptsoglou Demie, Leitner Jan, El Hajraoui Khalil, King Ashley J., Bays Charlotte L., Schofield Paul F., Araki Tohru, Ramasse Quentin M.
Publikováno v:
BIO Web of Conferences, Vol 129, p 27001 (2024)
Externí odkaz:
https://doaj.org/article/d0d3861651cc451eb361bc665d0cfe4d
Autor:
Abrams, D., Albataineh, H., Aljawrneh, B. S., Alsalmi, S., Androic, D., Aniol, K., Armstrong, W., Arrington, J., Atac, H., Averett, T., Gayoso, C. Ayerbe, Bai, X., Bane, J., Barcus, S., Beck, A., Bellini, V., Bhatt, H., Bhetuwal, D., Biswas, D., Blyth, D., Boeglin, W., Bulumulla, D., Butler, J., Camsonne, A., Carmignotto, M., Castellanos, J., Chen, J. -P., Cloët, I. C., Cohen, E. O., Covrig, S., Craycraft, K., Cruz-Torres, R., Dongwi, B., Duran, B., Dutta, D., Fomin, N., Fuchey, E., Gal, C., Gautam, T. N., Gilad, S., Gnanvo, K., Gogami, T., Gomez, J., Gu, C., Habarakada, A., Hague, T., Hansen, J. -O., Hattawy, M., Hauenstein, F., Higinbotham, D. W., Holt, R. J., Hughes, E. W., Hyde, C., Ibrahim, H., Jian, S., Joosten, S., Karki, A., Karki, B., Katramatou, A. T., Keith, C., Keppel, C., Khachatryan, M., Khachatryan, V., Khanal, A., Kievsky, A., King, D., King, P. M., Korover, I., Kulagin, S. A., Kumar, K. S., Kutz, T., Lashley-Colthirst, N., Li, S., Li, W., Liu, H., Liuti, S., Liyanage, N., Markowitz, P., McClellan, R. E., Meekins, D., Beck, S. Mey-Tal, Meziani, Z. -E., Michaels, R., Mihovilovic, M., Nelyubin, V., Nguyen, D., Nuruzzaman, Nycz, M., Obrecht, R., Olson, M., Owen, V. F., Pace, E., Pandey, B., Pandey, V., Paolone, M., Papadopoulou, A., Park, S., Paul, S., Petratos, G. G., Petti, R., Piasetzky, E., Pomatsalyuk, R., Premathilake, S., Puckett, A. J. R., Punjabi, V., Ransome, R. D., Rashad, M. N. H., Reimer, P. E., Riordan, S., Roche, J., Salmè, G., Santiesteban, N., Sawatzky, B., Scopetta, S., Schmidt, A., Schmookler, B., Segal, J., Segarra, E. P., Shahinyan, A., Širca, S., Sparveris, N., Su, T., Suleiman, R., Szumila-Vance, H., Tadepalli, A. S., Tang, L., Tireman, W., Tortorici, F., Urciuoli, G. M., Wojtsekhowski, B., Wood, S., Ye, Z. H., Ye, Z. Y., Zhang, J.
Measurements of the EMC effect in the tritium and helium-3 mirror nuclei are reported. The data were obtained by the MARATHON Jefferson Lab experiment, which performed deep inelastic electron scattering from deuterium and the three-body nuclei, using
Externí odkaz:
http://arxiv.org/abs/2410.12099
Autor:
Guo, Jarvis, Zheng, Tuney, Bai, Yuelin, Li, Bo, Wang, Yubo, Zhu, King, Li, Yizhi, Neubig, Graham, Chen, Wenhu, Yue, Xiang
Open-source multimodal large language models (MLLMs) have shown significant potential in a broad range of multimodal tasks. However, their reasoning capabilities remain constrained by existing instruction-tuning datasets, which were predominately rep
Externí odkaz:
http://arxiv.org/abs/2412.05237
Autor:
Webber, George, Mizuno, Yuya, Howes, Oliver D., Hammers, Alexander, King, Andrew P., Reader, Andrew J.
Medical image reconstruction with pre-trained score-based generative models (SGMs) has advantages over other existing state-of-the-art deep-learned reconstruction methods, including improved resilience to different scanner setups and advanced image d
Externí odkaz:
http://arxiv.org/abs/2412.04339
Autor:
Webber, George, Mizuno, Yuya, Howes, Oliver D., Hammers, Alexander, King, Andrew P., Reader, Andrew J.
Large high-quality medical image datasets are difficult to acquire but necessary for many deep learning applications. For positron emission tomography (PET), reconstructed image quality is limited by inherent Poisson noise. We propose a novel method
Externí odkaz:
http://arxiv.org/abs/2412.04324
Autor:
Webber, George, Mizuno, Yuya, Howes, Oliver D., Hammers, Alexander, King, Andrew P., Reader, Andrew J.
Score-based generative models (SGMs) have recently shown promising results for image reconstruction on simulated positron emission tomography (PET) datasets. In this work we have developed and implemented practical methodology for 3D image reconstruc
Externí odkaz:
http://arxiv.org/abs/2412.04319
Autor:
Singh, M., Yokoyama, R., Grzywacz, R., Keeler, A., King, T. T., Agramunt, J., Brewer, N. T., Go, S., Liu, J., Nishimura, S., Parkhurst, P., Phong, V. H., Rajabali, M. M., Rasco, B. C., Rykaczewski, K. P., Stracener, D. W., Tolosa-Delgado, A., Vaigneur, K., Wolinska-Cichocka, M.
A segmented-scintillator-based implantation detector was developed to study the energy distribution of beta-delayed neutrons emitted from exotic isotopes. The detector comprises a 34 $\times$ 34 YSO scintillator coupled to an 8 $\times$ 8 Position-Se
Externí odkaz:
http://arxiv.org/abs/2412.04507
1. Obtaining data to train robust artificial intelligence (AI)-based models for species classification can be challenging, particularly for rare species. Data augmentation can boost classification accuracy by increasing the diversity of training data
Externí odkaz:
http://arxiv.org/abs/2412.01530
Modern vehicles equip dashcams that primarily collect visual evidence for traffic accidents. However, most of the video data collected by dashcams that is not related to traffic accidents is discarded without any use. In this paper, we present a use
Externí odkaz:
http://arxiv.org/abs/2411.19558
Bird migration is an adaptive behavior ultimately aiming at optimizing survival and reproductive success. We propose an optimal switching model to study bird migration, where birds' migration behaviors are modeled as switching between different stoch
Externí odkaz:
http://arxiv.org/abs/2411.19467