890 results on '"S, Reiter"'
Search Results
2. Measurements of the branching fractions of Ξ c 0 → Ξ 0 π 0 $$ {\Xi}_c^0\to {\Xi}^0{\pi}^0 $$ , Ξ c 0 → Ξ 0 η $$ {\Xi}_c^0\to {\Xi}^0\eta $$ , and Ξ c 0 → Ξ 0 η ′ $$ {\Xi}_c^0\to {\Xi}^0{\eta}^{\prime } $$ and asymmetry parameter of Ξ c 0 → Ξ 0 π 0 $$ {\Xi}_c^0\to {\Xi}^0{\pi}^0 $$
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The Belle and Belle II collaboration, I. Adachi, L. Aggarwal, H. Aihara, N. Akopov, A. Aloisio, N. Althubiti, N. Anh Ky, D. M. Asner, H. Atmacan, T. Aushev, V. Aushev, M. Aversano, R. Ayad, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, M. Barrett, J. Baudot, A. Baur, A. Beaubien, F. Becherer, J. Becker, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, L. Bierwirth, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, J. Borah, A. Boschetti, A. Bozek, M. Bračko, P. Branchini, T. E. Browder, A. Budano, S. Bussino, Q. Campagna, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, J. Cerasoli, M.-C. Chang, P. Chang, P. Cheema, C. Chen, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-J. Cho, S.-K. Choi, S. Choudhury, L. Corona, J. X. Cui, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. De Nardo, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, K. Dort, D. Dossett, S. Dubey, K. Dugic, G. Dujany, P. Ecker, M. Eliachevitch, D. Epifanov, P. Feichtinger, T. Ferber, T. Fillinger, C. Finck, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, A. Glazov, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, K. Gudkova, I. Haide, S. Halder, Y. Han, T. Hara, C. Harris, K. Hayasaka, H. Hayashii, S. Hazra, C. Hearty, M. T. Hedges, A. Heidelbach, I. Heredia de la Cruz, T. Higuchi, M. Hoek, M. Hohmann, P. Horak, C.-L. Hsu, T. Humair, K. Inami, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, W. W. Jacobs, E.-J. Jang, S. Jia, Y. Jin, A. Johnson, K. K. Joo, H. Junkerkalefeld, M. Kaleta, J. Kandra, K. H. Kang, S. Kang, G. Karyan, F. Keil, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, P. Križan, P. Krokovny, T. Kuhr, Y. Kulii, R. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, K. Lalwani, T. Lam, J. S. Lange, M. Laurenza, R. Leboucher, M. J. Lee, C. Lemettais, P. Leo, D. Levit, P. M. Lewis, L. K. Li, S. X. Li, Y. Li, Y. B. Li, J. Libby, Z. Liptak, M. H. Liu, Q. Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, Y. Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Marinas, C. Martellini, A. Martens, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, D. Matvienko, S. K. Maurya, J. A. McKenna, R. Mehta, F. Meier, M. Merola, C. Miller, M. Mirra, S. Mitra, K. Miyabayashi, G. B. Mohanty, S. Moneta, H.-G. Moser, M. Mrvar, I. Nakamura, M. Nakao, Y. Nakazawa, M. Naruki, Z. Natkaniec, A. Natochii, M. Nayak, G. Nazaryan, M. Neu, M. Niiyama, S. Nishida, S. Ogawa, Y. Onishchuk, H. Ono, G. Pakhlova, S. Pardi, K. Parham, H. Park, J. Park, S.-H. Park, A. Passeri, S. Patra, S. Paul, T. K. Pedlar, R. Peschke, R. Pestotnik, M. Piccolo, L. E. Piilonen, G. Pinna Angioni, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, P. Rados, G. Raeuber, S. Raiz, N. Rauls, M. Reif, S. Reiter, M. Remnev, L. Reuter, I. Ripp-Baudot, G. Rizzo, M. Roehrken, J. M. Roney, A. Rostomyan, N. Rout, S. Sandilya, L. Santelj, Y. Sato, V. Savinov, B. Scavino, S. Schneider, M. Schnepf, C. Schwanda, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, C. Sharma, C. P. Shen, X. D. Shi, T. Shillington, T. Shimasaki, J.-G. Shiu, D. Shtol, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, R. J. Sobie, M. Sobotzik, A. Soffer, E. Solovieva, W. Song, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, S. Stefkova, R. Stroili, M. Sumihama, K. Sumisawa, N. Suwonjandee, H. Svidras, M. Takahashi, M. Takizawa, S. Tanaka, K. Tanida, F. Tenchini, A. Thaller, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, I. Ueda, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, S. E. Vahsen, R. van Tonder, K. E. Varvell, M. Veronesi, A. Vinokurova, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, A. Vossen, M. Wakai, S. Wallner, E. Wang, M.-Z. Wang, Z. Wang, A. Warburton, S. Watanuki, C. Wessel, E. Won, X. P. Xu, B. D. Yabsley, S. Yamada, W. Yan, S. B. Yang, J. Yelton, J. H. Yin, Y. M. Yook, K. Yoshihara, C. Z. Yuan, L. Zani, F. Zeng, B. Zhang, V. Zhilich, J. S. Zhou, Q. D. Zhou, V. I. Zhukova, and R. Žlebčík
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Branching fraction ,Charm Physics ,e +-e − Experiments ,Particle and Resonance Production ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract We present a study of Ξ c 0 → Ξ 0 π 0 $$ {\Xi}_c^0\to {\Xi}^0{\pi}^0 $$ , Ξ c 0 → Ξ 0 η $$ {\Xi}_c^0\to {\Xi}^0\eta $$ , and Ξ c 0 → Ξ 0 η ′ $$ {\Xi}_c^0\to {\Xi}^0{\eta}^{\prime } $$ decays using the Belle and Belle II data samples, which have integrated luminosities of 980 fb −1 and 426 fb −1, respectively. We measure the following relative branching fractions B Ξ c 0 → Ξ 0 π 0 / B Ξ c 0 → Ξ − π + = 0.48 ± 0.02 stat ± 0.03 syst , B Ξ c 0 → Ξ 0 η / B Ξ c 0 → Ξ − π + = 0.11 ± 0.01 stat ± 0.01 syst , B Ξ c 0 → Ξ 0 η ′ / B Ξ c 0 → Ξ − π + = 0.08 ± 0.02 stat ± 0.01 syst $$ {\displaystyle \begin{array}{c}\mathcal{B}\left({\Xi}_c^0\to {\Xi}^0{\pi}^0\right)/\mathcal{B}\left({\Xi}_c^0\to {\Xi}^{-}{\pi}^{+}\right)=0.48\pm 0.02\left(\textrm{stat}\right)\pm 0.03\left(\textrm{syst}\right),\\ {}\mathcal{B}\left({\Xi}_c^0\to {\Xi}^0\eta \right)/\mathcal{B}\left({\Xi}_c^0\to {\Xi}^{-}{\pi}^{+}\right)=0.11\pm 0.01\left(\textrm{stat}\right)\pm 0.01\left(\textrm{syst}\right),\\ {}\mathcal{B}\left({\Xi}_c^0\to {\Xi}^0{\eta}^{\prime}\right)/\mathcal{B}\left({\Xi}_c^0\to {\Xi}^{-}{\pi}^{+}\right)=0.08\pm 0.02\left(\textrm{stat}\right)\pm 0.01\left(\textrm{syst}\right)\end{array}} $$ for the first time, where the uncertainties are statistical (stat) and systematic (syst). By multiplying by the branching fraction of the normalization mode, B Ξ c 0 → Ξ − π + $$ \mathcal{B}\left({\Xi}_c^0\to {\Xi}^{-}{\pi}^{+}\right) $$ , we obtain the following absolute branching fraction results B Ξ c 0 → Ξ 0 π 0 = 6.9 ± 0.3 stat ± 0.5 syst ± 1.3 norm × 10 − 3 , B Ξ c 0 → Ξ 0 η = 1.6 ± 0.2 stat ± 0.2 syst ± 0.3 norm × 10 − 3 , B Ξ c 0 → Ξ 0 η ′ = 1.2 ± 0.3 stat ± 0.1 syst ± 0.2 norm × 10 − 3 , $$ {\displaystyle \begin{array}{c}\mathcal{B}\left({\Xi}_c^0\to {\Xi}^0{\pi}^0\right)=\left(6.9\pm 0.3\left(\textrm{stat}\right)\pm 0.5\left(\textrm{syst}\right)\pm 1.3\left(\operatorname{norm}\right)\right)\times {10}^{-3},\\ {}\mathcal{B}\left({\Xi}_c^0\to {\Xi}^0\eta \right)=\left(1.6\pm 0.2\left(\textrm{stat}\right)\pm 0.2\left(\textrm{syst}\right)\pm 0.3\left(\operatorname{norm}\right)\right)\times {10}^{-3},\\ {}\mathcal{B}\left({\varXi}_c^0\to {\Xi}^0{\eta}^{\prime}\right)=\left(1.2\pm 0.3\left(\textrm{stat}\right)\pm 0.1\left(\textrm{syst}\right)\pm 0.2\left(\operatorname{norm}\right)\right)\times {10}^{-3},\end{array}} $$ where the third uncertainties are from B Ξ c 0 → Ξ − π + $$ \mathcal{B}\left({\Xi}_c^0\to {\Xi}^{-}{\pi}^{+}\right) $$ . The asymmetry parameter for Ξ c 0 → Ξ 0 π 0 $$ {\Xi}_c^0\to {\Xi}^0{\pi}^0 $$ is measured to be α Ξ c 0 → Ξ 0 π 0 = − 0.90 ± 0.15 stat ± 0.23 syst $$ \alpha \left({\Xi}_c^0\to {\Xi}^0{\pi}^0\right)=-0.90\pm 0.15\left(\textrm{stat}\right)\pm 0.23\left(\textrm{syst}\right) $$ .
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- 2024
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3. Influence of OCT biomarkers on microperimetry intra- and interdevice repeatability in diabetic macular edema
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Heiko Stino, Klaudia Birner, Laetitia Hinterhuber, Alexandra Struppe, Markus Gumpinger, Simon Schürer-Waldheim, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Andreas Pollreisz, and Gregor S. Reiter
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Medicine ,Science - Abstract
Abstract To evaluate the intra- and interdevice repeatability of microperimetry (MP) assessments in patients with diabetic macular edema (DME) two consecutive MP testings (45 fovea-centered stimuli, 4–2 staircase strategy) were performed using MP3 (NIDEK, Aichi, Japan) and MAIA (CenterVue, Padova, Italy), respectively. Intraretinal fluid (IRF) and ellipsoid zone (EZ) thickness were automatically segmented by published deep learning algorithms. Hard exudates (HEs) were annotated semi-automatically and disorganization of retinal inner layers (DRIL) was segmented manually. Point-to-point registration of MP stimuli to corresponding spectral-domain OCT (Spectralis, Heidelberg Engineering, Germany) locations was performed for both devices. Repeatability was assessed overall and in areas of disease-specific OCT biomarkers using Bland-Altmann coefficients of repeatability (CoR). A total of 3600 microperimetry stimuli were tested in 20 eyes with DME. Global CoR was high using both devices (MP3: ± 6.55 dB, MAIA: ± 7.69 dB). Higher retest variances were observed in stimuli with IRF (MP3: CoR ± 7.4 dB vs. ± 6.0 dB, p = 0.001, MAIA: CoR ± 9.2dB vs. ± 6.8 dB, p = 0.002) and DRIL on MP3 (CoR ± 6.9 dB vs. ± 3.2 dB, p
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- 2024
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4. Measurement of the energy dependence of the e + e − → B B ¯ $$ B\overline{B} $$ , B B ¯ ∗ $$ B{\overline{B}}^{\ast } $$ , and B ∗ B ¯ ∗ $$ {B}^{\ast }{\overline{B}}^{\ast } $$ cross sections at Belle II
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The Belle II collaboration, I. Adachi, L. Aggarwal, H. Ahmed, H. Aihara, N. Akopov, A. Aloisio, N. Althubiti, N. Anh Ky, D. M. Asner, H. Atmacan, T. Aushev, V. Aushev, M. Aversano, R. Ayad, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, S. Bansal, M. Barrett, J. Baudot, M. Bauer, A. Baur, A. Beaubien, F. Becherer, J. Becker, P. K. Behera, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, L. Bierwirth, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, A. Bolz, A. Bondar, J. Borah, A. Boschetti, A. Bozek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, Q. Campagna, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, J. Cerasoli, M.-C. Chang, P. Chang, P. Cheema, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-J. Cho, S.-K. Choi, S. Choudhury, J. Cochran, L. Corona, J. X. Cui, S. Das, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. de Marino, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, D. Dorner, K. Dort, D. Dossett, S. Dreyer, S. Dubey, K. Dugic, G. Dujany, P. Ecker, M. Eliachevitch, D. Epifanov, P. Feichtinger, T. Ferber, D. Ferlewicz, T. Fillinger, C. Finck, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, R. Garg, A. Garmash, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, A. Glazov, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, T. Grammatico, S. Granderath, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, Y. Guan, K. Gudkova, S. Halder, Y. Han, K. Hara, T. Hara, C. Harris, K. Hayasaka, H. Hayashii, S. Hazra, C. Hearty, M. T. Hedges, A. Heidelbach, I. Heredia de la Cruz, M. Hernández Villanueva, A. Hershenhorn, T. Higuchi, E. C. Hill, M. Hoek, M. Hohmann, P. Horak, C.-L. Hsu, T. Humair, T. Iijima, K. Inami, G. Inguglia, N. Ipsita, A. Ishikawa, S. Ito, R. Itoh, M. Iwasaki, P. Jackson, W. W. Jacobs, E.-J. Jang, Q. P. Ji, S. Jia, Y. Jin, A. Johnson, K. K. Joo, H. Junkerkalefeld, H. Kakuno, M. Kaleta, D. Kalita, A. B. Kaliyar, J. Kandra, K. H. Kang, S. Kang, G. Karyan, T. Kawasaki, F. Keil, C. Ketter, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, T. Konno, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, Y. Kulii, T. Kuhr, J. Kumar, M. Kumar, R. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, Y.-T. Lai, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, R. Leboucher, F. R. Le Diberder, M. J. Lee, P. Leitl, P. Leo, D. Levit, P. M. Lewis, C. Li, L. K. Li, S. X. Li, Y. Li, Y. B. Li, J. Libby, Q. Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, A. Lozar, T. Lueck, C. Lyu, Y. Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Marinas, L. Martel, C. Martellini, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, T. Matsuda, K. Matsuoka, D. Matvienko, S. K. Maurya, J. A. McKenna, R. Mehta, F. Meier, M. Merola, F. Metzner, M. Milesi, C. Miller, M. Mirra, S. Mitra, K. Miyabayashi, H. Miyake, R. Mizuk, G. B. Mohanty, N. Molina-Gonzalez, S. Mondal, S. Moneta, H.-G. Moser, M. Mrvar, R. Mussa, I. Nakamura, M. Nakao, Y. Nakazawa, A. Narimani Charan, M. Naruki, D. Narwal, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, G. Nazaryan, M. Neu, C. Niebuhr, N. K. Nisar, S. Nishida, S. Ogawa, Y. Onishchuk, H. Ono, Y. Onuki, P. Oskin, F. Otani, P. Pakhlov, G. Pakhlova, A. Paladino, A. Panta, E. Paoloni, S. Pardi, K. Parham, H. Park, J. Park, S.-H. Park, B. Paschen, A. Passeri, S. Patra, S. Paul, T. K. Pedlar, I. Peruzzi, R. Peschke, R. Pestotnik, F. Pham, M. Piccolo, L. E. Piilonen, G. Pinna Angioni, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, S. Privalov, H. Purwar, N. Rad, P. Rados, G. Raeuber, S. Raiz, N. Rauls, K. Ravindran, M. Reif, S. Reiter, M. Remnev, L. Reuter, I. Ripp-Baudot, S. H. Robertson, M. Roehrken, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, D. Sahoo, D. A. Sanders, S. Sandilya, A. Sangal, L. Santelj, Y. Sato, V. Savinov, B. Scavino, S. Schneider, M. Schnepf, C. Schwanda, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, C. Sharma, C. P. Shen, X. D. Shi, T. Shillington, T. Shimasaki, J.-G. Shiu, D. Shtol, B. Shwartz, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, K. Smith, R. J. Sobie, M. Sobotzik, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, S. Stefkova, Z. S. Stottler, R. Stroili, J. Strube, Y. Sue, M. Sumihama, K. Sumisawa, W. Sutcliffe, H. Svidras, M. Takahashi, M. Takizawa, U. Tamponi, S. Tanaka, K. Tanida, F. Tenchini, A. Thaller, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, N. Toutounji, K. Trabelsi, I. Tsaklidis, M. Uchida, I. Ueda, Y. Uematsu, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. E. Vahsen, R. van Tonder, G. S. Varner, K. E. Varvell, M. Veronesi, A. Vinokurova, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, B. Wach, M. Wakai, S. Wallner, E. Wang, M.-Z. Wang, X. L. Wang, Z. Wang, A. Warburton, M. Watanabe, S. Watanuki, C. Wessel, E. Won, X. P. Xu, B. D. Yabsley, S. Yamada, W. Yan, S. B. Yang, J. Yelton, J. H. Yin, K. Yoshihara, C. Z. Yuan, L. Zani, F. Zeng, B. Zhang, Y. Zhang, V. Zhilich, J. S. Zhou, Q. D. Zhou, X. Y. Zhou, V. I. Zhukova, and R. Žlebčík
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e +-e − Experiments ,Quarkonium ,Spectroscopy ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract We report measurements of the e + e − → B B ¯ $$ B\overline{B} $$ , B B ¯ ∗ $$ B{\overline{B}}^{\ast } $$ , and B ∗ B ¯ ∗ $$ {B}^{\ast }{\overline{B}}^{\ast } $$ cross sections at four energies, 10653, 10701, 10746 and 10805 MeV, using data collected by the Belle II experiment. We reconstruct one B meson in a large number of hadronic final states and use its momentum to identify the production process. In the first 2 – 5 MeV above B ∗ B ¯ ∗ $$ {B}^{\ast }{\overline{B}}^{\ast } $$ threshold, the e + e − → B ∗ B ¯ ∗ $$ {B}^{\ast }{\overline{B}}^{\ast } $$ cross section increases rapidly. This may indicate the presence of a pole close to the threshold.
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- 2024
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5. Determination of the CKM angle ϕ 3 from a combination of Belle and Belle II results
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The Belle and Belle II collaborations, I. Adachi, L. Aggarwal, H. Aihara, N. Akopov, A. Aloisio, S. Al Said, N. Anh Ky, D. M. Asner, H. Atmacan, V. Aushev, M. Aversano, R. Ayad, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, S. Bansal, M. Barrett, J. Baudot, A. Baur, A. Beaubien, F. Becherer, J. Becker, K. Belous, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, L. Bierwirth, T. Bilka, S. Bilokin, D. Biswas, A. Bobrov, D. Bodrov, A. Bolz, A. Bondar, A. Bozek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, J. Cerasoli, M.-C. Chang, P. Chang, R. Cheaib, P. Cheema, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-K. Choi, Y. Choi, S. Choudhury, L. Corona, S. Das, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. de Marino, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, T. V. Dong, M. Dorigo, K. Dort, D. Dossett, S. Dreyer, S. Dubey, G. Dujany, P. Ecker, M. Eliachevitch, D. Epifanov, P. Feichtinger, T. Ferber, D. Ferlewicz, T. Fillinger, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, R. Garg, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, T. Grammatico, S. Granderath, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, Y. Guan, K. Gudkova, S. Halder, Y. Han, T. Hara, H. Hayashii, S. Hazra, M. T. Hedges, A. Heidelbach, I. Heredia de la Cruz, M. Hernández Villanueva, T. Higuchi, M. Hoek, M. Hohmann, P. Horak, C.-L. Hsu, T. Humair, T. Iijima, K. Inami, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, P. Jackson, W. W. Jacobs, E.-J. Jang, Q. P. Ji, S. Jia, Y. Jin, H. Junkerkalefeld, D. Kalita, A. B. Kaliyar, J. Kandra, T. Kawasaki, F. Keil, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, J. Kumar, M. Kumar, R. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, Y.-T. Lai, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, M. J. Lee, D. Levit, P. M. Lewis, C. Li, L. K. Li, Y. Li, Y. B. Li, J. Libby, M. H. Liu, Q. Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, Y. Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Marinas, L. Martel, C. Martellini, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, D. Matvienko, S. K. Maurya, J. A. McKenna, R. Mehta, F. Meier, M. Merola, F. Metzner, C. Miller, M. Mirra, K. Miyabayashi, H. Miyake, G. B. Mohanty, N. Molina-Gonzalez, S. Mondal, S. Moneta, H.-G. Moser, M. Mrvar, R. Mussa, I. Nakamura, K. R. Nakamura, M. Nakao, Y. Nakazawa, A. Narimani Charan, M. Naruki, D. Narwal, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, G. Nazaryan, M. Neu, C. Niebuhr, S. Nishida, S. Ogawa, Y. Onishchuk, H. Ono, P. Oskin, F. Otani, P. Pakhlov, G. Pakhlova, A. Panta, S. Pardi, K. Parham, H. Park, S.-H. Park, A. Passeri, S. Patra, S. Paul, T. K. Pedlar, R. Peschke, R. Pestotnik, M. Piccolo, L. E. Piilonen, G. Pinna Angioni, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, P. Rados, G. Raeuber, S. Raiz, N. Rauls, M. Reif, S. Reiter, M. Remnev, I. Ripp-Baudot, G. Rizzo, S. H. Robertson, M. Roehrken, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, D. A. Sanders, S. Sandilya, L. Santelj, Y. Sato, V. Savinov, B. Scavino, C. Schmitt, G. Schnell, C. Schwanda, M. Schwickardi, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, X. D. Shi, T. Shillington, T. Shimasaki, J.-G. Shiu, D. Shtol, B. Shwartz, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, R. J. Sobie, M. Sobotzik, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, S. Stefkova, R. Stroili, M. Sumihama, K. Sumisawa, W. Sutcliffe, N. Suwonjandee, M. Takizawa, U. Tamponi, K. Tanida, F. Tenchini, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, I. Tsaklidis, M. Uchida, I. Ueda, Y. Uematsu, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. E. Vahsen, R. van Tonder, K. E. Varvell, M. Veronesi, A. Vinokurova, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, B. Wach, M. Wakai, S. Wallner, E. Wang, M.-Z. Wang, X. L. Wang, Z. Wang, A. Warburton, S. Watanuki, C. Wessel, E. Won, X. P. Xu, B. D. Yabsley, S. Yamada, W. Yan, S. B. Yang, J. Yelton, J. H. Yin, K. Yoshihara, C. Z. Yuan, B. Zhang, Y. Zhang, V. Zhilich, Q. D. Zhou, and V. I. Zhukova
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B Physics ,CKM Angle Gamma ,CP Violation ,e +-e − Experiments ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract We report a determination of the CKM angle ϕ 3, also known as γ, from a combination of measurements using samples of up to 711 fb −1 from the Belle experiment and up to 362 fb −1 from the Belle II experiment. We combine results from analyses of B + → DK +, B + → Dπ +, and B + → D * K + decays, where D is an admixture of D 0 and D ¯ 0 $$ {\overline{D}}^0 $$ mesons, in a likelihood fit to obtain ϕ 3 = (75.2 ± 7.6) ° . We also briefly discuss the interpretation of this result.
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- 2024
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6. Quantitative comparison of automated OCT and conventional FAF-based geographic atrophy measurements in the phase 3 OAKS/DERBY trials
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Julia Mai, Gregor S. Reiter, Sophie Riedl, Wolf-Dieter Vogl, Amir Sadeghipour, Emma Foos, Alex McKeown, Hrvoje Bogunovic, and Ursula Schmidt-Erfurth
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Geographic atrophy ,Optical coherence tomography ,Fundus autofluorescence ,Artificial intelligence ,Deep learning ,Medicine ,Science - Abstract
Abstract With the approval of the first two substances for the treatment of geographic atrophy (GA) secondary to age-related macular degeneration (AMD), a standardized monitoring of patients treated with complement inhibitors in clinical practice is needed. Optical coherence tomography (OCT) provides high-resolution access to the retinal pigment epithelium (RPE) and neurosensory layers, such as the ellipsoid zone (EZ), which further enhances the understanding of disease progression and therapeutic effects in GA compared to conventional fundus autofluorescence (FAF). In addition, artificial intelligence-based methodology allows the identification and quantification of GA-related pathology on OCT in an objective and standardized manner. The purpose of this study was to comprehensively evaluate automated OCT monitoring for GA compared to reading center-based manual FAF measurements in the largest successful phase 3 clinical trial data of complement inhibitor therapy to date. Automated OCT analysis of RPE loss showed a high and consistent correlation to manual GA measurements on conventional FAF. EZ loss on OCT was generally larger than areas of RPE loss, supporting the hypothesis that EZ loss exceeds underlying RPE loss as a fundamental pathophysiology in GA progression. Automated OCT analysis is well suited to monitor disease progression in GA patients treated in clinical practice and clinical trials.
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- 2024
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7. Search for lepton-flavor-violating τ − → μ − μ + μ − decays at Belle II
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The Belle II collaboration, I. Adachi, L. Aggarwal, H. Aihara, N. Akopov, A. Aloisio, N. Althubiti, N. Anh Ky, D. M. Asner, H. Atmacan, V. Aushev, M. Aversano, R. Ayad, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, S. Bansal, M. Barrett, J. Baudot, A. Baur, A. Beaubien, F. Becherer, J. Becker, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, F. Bianchi, L. Bierwirth, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, A. Bolz, J. Borah, A. Boschetti, A. Bozek, M. Bračko, P. Branchini, T. E. Browder, A. Budano, S. Bussino, Q. Campagna, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, J. Cerasoli, M.-C. Chang, P. Chang, R. Cheaib, P. Cheema, C. Chen, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-J. Cho, S.-K. Choi, S. Choudhury, J. Cochran, L. Corona, J. X. Cui, S. Das, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, D. Dorner, K. Dort, D. Dossett, S. Dreyer, S. Dubey, K. Dugic, G. Dujany, P. Ecker, M. Eliachevitch, P. Feichtinger, T. Ferber, D. Ferlewicz, T. Fillinger, C. Finck, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, R. Garg, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, A. Glazov, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, T. Grammatico, S. Granderath, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, Y. Guan, K. Gudkova, S. Halder, Y. Han, T. Hara, C. Harris, K. Hayasaka, H. Hayashii, S. Hazra, C. Hearty, M. T. Hedges, A. Heidelbach, I. Heredia de la Cruz, M. Hernández Villanueva, T. Higuchi, M. Hoek, M. Hohmann, P. Horak, C.-L. Hsu, T. Humair, T. Iijima, K. Inami, G. Inguglia, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, W. W. Jacobs, D. E. Jaffe, E.-J. Jang, Q. P. Ji, S. Jia, Y. Jin, H. Junkerkalefeld, M. Kaleta, D. Kalita, A. B. Kaliyar, J. Kandra, K. H. Kang, S. Kang, G. Karyan, T. Kawasaki, F. Keil, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, T. Konno, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, Y. Kulii, J. Kumar, M. Kumar, R. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, K. Lalwani, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, K. Lautenbach, R. Leboucher, F. R. Le Diberder, M. J. Lee, P. Leo, C. Lemettais, D. Levit, P. M. Lewis, L. K. Li, S. X. Li, Y. Li, Y. B. Li, J. Libby, M. H. Liu, Q. Y. Liu, Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, Y. Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Marinas, C. Martellini, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, K. Matsuoka, D. Matvienko, S. K. Maurya, J. A. McKenna, R. Mehta, F. Meier, M. Merola, F. Metzner, C. Miller, M. Mirra, S. Mitra, K. Miyabayashi, G. B. Mohanty, S. Mondal, S. Moneta, H.-G. Moser, M. Mrvar, R. Mussa, I. Nakamura, K. R. Nakamura, M. Nakao, Y. Nakazawa, A. Narimani Charan, M. Naruki, D. Narwal, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, G. Nazaryan, M. Neu, C. Niebuhr, J. Ninkovic, S. Nishida, S. Ogawa, Y. Onishchuk, H. Ono, F. Otani, P. Pakhlov, G. Pakhlova, S. Pardi, K. Parham, H. Park, J. Park, S.-H. Park, B. Paschen, A. Passeri, S. Patra, S. Paul, T. K. Pedlar, R. Peschke, R. Pestotnik, M. Piccolo, L. E. Piilonen, G. Pinna Angioni, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, I. Prudiev, H. Purwar, P. Rados, G. Raeuber, S. Raiz, N. Rauls, M. Reif, S. Reiter, L. Reuter, I. Ripp-Baudot, G. Rizzo, S. H. Robertson, M. Roehrken, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, D. A. Sanders, S. Sandilya, L. Santelj, Y. Sato, V. Savinov, B. Scavino, S. Schneider, C. Schwanda, M. Schwickardi, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, C. Sharma, C. P. Shen, X. D. Shi, T. Shillington, T. Shimasaki, J.-G. Shiu, D. Shtol, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, K. Smith, R. J. Sobie, M. Sobotzik, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, S. Stefkova, R. Stroili, Y. Sue, M. Sumihama, K. Sumisawa, W. Sutcliffe, N. Suwonjandee, H. Svidras, M. Takahashi, M. Takizawa, U. Tamponi, S. Tanaka, K. Tanida, F. Tenchini, A. Thaller, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, I. Tsaklidis, I. Ueda, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. E. Vahsen, R. van Tonder, K. E. Varvell, M. Veronesi, A. Vinokurova, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, A. Vossen, B. Wach, M. Wakai, S. Wallner, E. Wang, M.-Z. Wang, X. L. Wang, Z. Wang, A. Warburton, M. Watanabe, S. Watanuki, C. Wessel, X. P. Xu, B. D. Yabsley, S. Yamada, W. Yan, S. B. Yang, J. Yelton, J. H. Yin, Y. M. Yook, K. Yoshihara, C. Z. Yuan, L. Zani, F. Zeng, B. Zhang, Y. Zhang, V. Zhilich, Q. D. Zhou, X. Y. Zhou, V. I. Zhukova, and R. Žlebčík
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e +-e − Experiments ,Flavour Physics ,Tau Physics ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract We present the result of a search for the charged-lepton-flavor violating decay τ − → μ − μ + μ − using a 424 fb −1 sample of data recorded by the Belle II experiment at the SuperKEKB e + e − collider. The selection of e + e − → τ + τ − events is based on an inclusive reconstruction of the non-signal tau decay, and on a boosted decision tree to suppress background. We observe one signal candidate, which is compatible with the expectation from background processes. We set a 90% confidence level upper limit of 1.9 × 10 −8 on the branching fraction of the τ − → μ − μ + μ − decay, which is the most stringent bound to date.
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- 2024
- Full Text
- View/download PDF
8. Test of light-lepton universality in τ decays with the Belle II experiment
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The Belle II collaboration, I. Adachi, K. Adamczyk, L. Aggarwal, H. Aihara, N. Akopov, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, V. Aushev, M. Aversano, R. Ayad, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, S. Bansal, M. Barrett, J. Baudot, A. Baur, A. Beaubien, F. Becherer, J. Becker, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, F. Bianchi, L. Bierwirth, T. Bilka, S. Bilokin, D. Biswas, A. Bobrov, D. Bodrov, A. Bolz, J. Borah, A. Boschetti, A. Bozek, M. Bračko, P. Branchini, T. E. Browder, A. Budano, S. Bussino, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, J. Cerasoli, M.-C. Chang, P. Chang, R. Cheaib, P. Cheema, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-J. Cho, S.-K. Choi, S. Choudhury, L. Corona, J. X. Cui, S. Das, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. de Marino, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, D. Dorner, K. Dort, D. Dossett, S. Dreyer, S. Dubey, K. Dugic, G. Dujany, P. Ecker, M. Eliachevitch, D. Epifanov, P. Feichtinger, T. Ferber, D. Ferlewicz, T. Fillinger, C. Finck, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, A. Glazov, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, T. Grammatico, S. Granderath, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, Y. Guan, K. Gudkova, Y. Han, T. Hara, K. Hayasaka, H. Hayashii, S. Hazra, C. Hearty, M. T. Hedges, A. Heidelbach, I. Heredia de la Cruz, M. Hernández Villanueva, T. Higuchi, M. Hoek, M. Hohmann, P. Horak, C.-L. Hsu, T. Humair, T. Iijima, K. Inami, G. Inguglia, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, W. W. Jacobs, D. E. Jaffe, E.-J. Jang, Q. P. Ji, S. Jia, Y. Jin, H. Junkerkalefeld, M. Kaleta, D. Kalita, A. B. Kaliyar, J. Kandra, S. Kang, G. Karyan, T. Kawasaki, F. Keil, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, T. Konno, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, Y. Kulii, J. Kumar, M. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, Y.-T. Lai, K. Lalwani, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, K. Lautenbach, R. Leboucher, F. R. Le Diberder, M. J. Lee, P. Leo, C. Lemettais, D. Levit, P. M. Lewis, C. Li, L. K. Li, S. X. Li, Y. Li, Y. B. Li, J. Libby, Z. Liptak, M. H. Liu, Q. Y. Liu, Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, Y. Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Marinas, C. Martellini, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, K. Matsuoka, D. Matvienko, S. K. Maurya, J. A. McKenna, R. Mehta, F. Meier, M. Merola, F. Metzner, C. Miller, M. Mirra, S. Mitra, K. Miyabayashi, H. Miyake, R. Mizuk, G. B. Mohanty, S. Mondal, S. Moneta, H.-G. Moser, M. Mrvar, R. Mussa, I. Nakamura, K. R. Nakamura, M. Nakao, H. Nakazawa, Y. Nakazawa, A. Narimani Charan, M. Naruki, D. Narwal, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, G. Nazaryan, M. Neu, C. Niebuhr, J. Ninkovic, S. Nishida, A. Novosel, S. Ogawa, Y. Onishchuk, H. Ono, F. Otani, P. Pakhlov, G. Pakhlova, A. Panta, S. Pardi, K. Parham, H. Park, S.-H. Park, B. Paschen, A. Passeri, S. Patra, T. K. Pedlar, R. Peschke, R. Pestotnik, M. Piccolo, L. E. Piilonen, G. Pinna Angioni, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, I. Prudiiev, H. Purwar, P. Rados, G. Raeuber, S. Raiz, N. Rauls, M. Reif, S. Reiter, M. Remnev, I. Ripp-Baudot, G. Rizzo, S. H. Robertson, M. Roehrken, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, D. A. Sanders, S. Sandilya, L. Santelj, Y. Sato, V. Savinov, B. Scavino, C. Schmitt, C. Schwanda, M. Schwickardi, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, X. D. Shi, T. Shillington, J.-G. Shiu, D. Shtol, B. Shwartz, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, R. J. Sobie, M. Sobotzik, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, S. Stefkova, R. Stroili, Y. Sue, M. Sumihama, K. Sumisawa, W. Sutcliffe, N. Suwonjandee, H. Svidras, M. Takahashi, M. Takizawa, U. Tamponi, S. Tanaka, K. Tanida, F. Tenchini, A. Thaller, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, I. Tsaklidis, M. Uchida, I. Ueda, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. E. Vahsen, R. van Tonder, K. E. Varvell, M. Veronesi, A. Vinokurova, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, B. Wach, M. Wakai, S. Wallner, E. Wang, M.-Z. Wang, X. L. Wang, Z. Wang, A. Warburton, M. Watanabe, S. Watanuki, C. Wessel, E. Won, X. P. Xu, B. D. Yabsley, S. Yamada, W. Yan, S. B. Yang, J. Yelton, J. H. Yin, K. Yoshihara, C. Z. Yuan, Y. Yusa, L. Zani, F. Zeng, B. Zhang, Y. Zhang, V. Zhilich, Q. D. Zhou, X. Y. Zhou, V. I. Zhukova, and R. Žlebčík
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e +-e − Experiments ,Tau Physics ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract We present a measurement of the ratio R μ = B τ − → μ − ν ¯ μ ν τ / B τ − → e − ν ¯ e ν τ $$ {R}_{\mu }=\mathcal{B}\left({\tau}^{-}\to {\mu}^{-}{\overline{\nu}}_{\mu }{\nu}_{\tau}\right)/\mathcal{B}\left({\tau}^{-}\to {e}^{-}{\overline{\nu}}_e{\nu}_{\tau}\right) $$ of branching fractions B $$ \mathcal{B} $$ of the τ lepton decaying to muons or electrons using data collected with the Belle II detector at the SuperKEKB e + e − collider. The sample has an integrated luminosity of 362 ± 2 fb −1 at a centre-of-mass energy of 10.58 GeV. Using an optimised event selection, a binned maximum likelihood fit is performed using the momentum spectra of the electron and muon candidates. The result, R μ = 0.9675 ± 0.0007 ± 0.0036, where the first uncertainty is statistical and the second is systematic, is the most precise to date. It provides a stringent test of the light-lepton universality, translating to a ratio of the couplings of the muon and electron to the W boson in τ decays of 0.9974 ± 0.0019, in agreement with the standard model expectation of unity.
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- 2024
- Full Text
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9. Measurement of the branching fractions of B ¯ $$ \overline{B} $$ → D (*) K − K S ∗ 0 $$ {K}_{(S)}^{\left(\ast \right)0} $$ and B ¯ $$ \overline{B} $$ → D (*) D s − $$ {D}_s^{-} $$ decays at Belle II
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The Belle II collaboration, I. Adachi, L. Aggarwal, H. Aihara, N. Akopov, A. Aloisio, N. Althubiti, N. Anh Ky, D. M. Asner, H. Atmacan, T. Aushev, V. Aushev, M. Aversano, R. Ayad, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, S. Bansal, M. Barrett, J. Baudot, A. Baur, A. Beaubien, F. Becherer, J. Becker, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, L. Bierwirth, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, A. Bolz, A. Boschetti, A. Bozek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, Q. Campagna, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, J. Cerasoli, M.-C. Chang, P. Chang, P. Cheema, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-J. Cho, S.-K. Choi, S. Choudhury, L. Corona, J. X. Cui, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. de Marino, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, D. Dorner, K. Dort, D. Dossett, S. Dreyer, S. Dubey, K. Dugic, G. Dujany, P. Ecker, M. Eliachevitch, D. Epifanov, P. Feichtinger, T. Ferber, T. Fillinger, C. Finck, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, M. Garcia-Hernandez, R. Garg, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, A. Glazov, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, K. Gudkova, I. Haide, S. Halder, Y. Han, T. Hara, C. Harris, K. Hayasaka, H. Hayashii, S. Hazra, C. Hearty, M. T. Hedges, A. Heidelbach, I. Heredia de la Cruz, M. Hernández Villanueva, T. Higuchi, M. Hoek, M. Hohmann, P. Horak, C.-L. Hsu, T. Humair, T. Iijima, K. Inami, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, W. W. Jacobs, D. E. Jaffe, E.-J. Jang, S. Jia, Y. Jin, A. Johnson, K. K. Joo, H. Junkerkalefeld, A. B. Kaliyar, J. Kandra, K. H. Kang, S. Kang, G. Karyan, T. Kawasaki, F. Keil, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, T. Konno, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, P. Križan, P. Krokovny, T. Kuhr, Y. Kulii, J. Kumar, M. Kumar, R. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, K. Lalwani, T. Lam, J. S. Lange, M. Laurenza, K. Lautenbach, R. Leboucher, F. R. Le Diberder, M. J. Lee, C. Lemettais, P. Leo, D. Levit, P. M. Lewis, L. K. Li, S. X. Li, Y. Li, Y. B. Li, J. Libby, Z. Liptak, M. H. Liu, Q. Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, Y. Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Marinas, C. Martellini, A. Martens, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, K. Matsuoka, D. Matvienko, S. K. Maurya, J. A. McKenna, F. Meier, M. Merola, C. Miller, M. Mirra, S. Mitra, K. Miyabayashi, R. Mizuk, G. B. Mohanty, S. Mondal, S. Moneta, H.-G. Moser, M. Mrvar, R. Mussa, I. Nakamura, M. Nakao, Y. Nakazawa, M. Naruki, D. Narwal, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, G. Nazaryan, M. Neu, M. Niiyama, S. Nishida, S. Ogawa, Y. Onishchuk, H. Ono, G. Pakhlova, S. Pardi, K. Parham, H. Park, J. Park, S.-H. Park, B. Paschen, A. Passeri, S. Patra, S. Paul, T. K. Pedlar, R. Peschke, R. Pestotnik, M. Piccolo, L. E. Piilonen, G. Pinna Angioni, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, P. Rados, G. Raeuber, S. Raiz, N. Rauls, M. Reif, S. Reiter, M. Remnev, L. Reuter, I. Ripp-Baudot, G. Rizzo, M. Roehrken, J. M. Roney, A. Rostomyan, N. Rout, S. Sandilya, L. Santelj, Y. Sato, V. Savinov, B. Scavino, C. Schmitt, S. Schneider, M. Schnepf, C. Schwanda, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, C. Sharma, C. P. Shen, X. D. Shi, T. Shillington, T. Shimasaki, J.-G. Shiu, D. Shtol, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, R. J. Sobie, M. Sobotzik, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, S. Stefkova, R. Stroili, M. Sumihama, H. Svidras, M. Takizawa, U. Tamponi, S. Tanaka, K. Tanida, F. Tenchini, A. Thaller, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, I. Ueda, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, Y. Ushiroda, S. E. Vahsen, R. van Tonder, K. E. Varvell, M. Veronesi, A. Vinokurova, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, A. Vossen, B. Wach, M. Wakai, S. Wallner, E. Wang, M.-Z. Wang, Z. Wang, A. Warburton, M. Watanabe, S. Watanuki, C. Wessel, J. Wiechczynski, E. Won, X. P. Xu, B. D. Yabsley, S. Yamada, S. B. Yang, J. Yelton, J. H. Yin, Y. M. Yook, K. Yoshihara, C. Z. Yuan, L. Zani, F. Zeng, B. Zhang, V. Zhilich, J. S. Zhou, Q. D. Zhou, V. I. Zhukova, and R. Žlebčík
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B Physics ,Branching fraction ,e +-e − Experiments ,Particle and Resonance Production ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract We present measurements of the branching fractions of eight B ¯ 0 $$ {\overline{B}}^0 $$ → D (*)+ K − K S ∗ 0 $$ {K}_{(S)}^{\left(\ast \right)0} $$ , B − → D (*)0 K − K S ∗ 0 $$ {K}_{(S)}^{\left(\ast \right)0} $$ decay channels. The results are based on data from SuperKEKB electron-positron collisions at the Υ(4S) resonance collected with the Belle II detector, corresponding to an integrated luminosity of 362 fb −1. The event yields are extracted from fits to the distributions of the difference between expected and observed B meson energy, and are efficiency-corrected as a function of m(K − K S ∗ 0 $$ {K}_{(S)}^{\left(\ast \right)0} $$ ) and m(D (*) K S ∗ 0 $$ {K}_{(S)}^{\left(\ast \right)0} $$ ) in order to avoid dependence on the decay model. These results include the first observation of B ¯ 0 $$ {\overline{B}}^0 $$ → D + K − K S 0 $$ {K}_S^0 $$ , B − → D* 0 K − K S 0 $$ {K}_S^0 $$ , and B ¯ 0 $$ {\overline{B}}^0 $$ → D* + K − K S 0 $$ {K}_S^0 $$ decays and a significant improvement in the precision of the other channels compared to previous measurements. The helicity-angle distributions and the invariant mass distributions of the K − K S ∗ 0 $$ {K}_{(S)}^{\left(\ast \right)0} $$ systems are compatible with quasi-two-body decays via a resonant transition with spin-parity J P = 1− for the K − K S 0 $$ {K}_S^0 $$ systems and J P = 1+ for the K − K* 0 systems. We also present measurements of the branching fractions of four B ¯ 0 $$ {\overline{B}}^0 $$ → D (*)+ D s − $$ {D}_s^{-} $$ , B − → D (*)0 D s − $$ {D}_s^{-} $$ decay channels with a precision compatible to the current world averages.
- Published
- 2024
- Full Text
- View/download PDF
10. Study of Υ(10753) decays to π + π − Υ(nS) final states at Belle II
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The Belle II collaboration, I. Adachi, L. Aggarwal, H. Ahmed, H. Aihara, N. Akopov, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, T. Aushev, V. Aushev, M. Aversano, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, S. Bansal, M. Barrett, J. Baudot, A. Baur, A. Beaubien, F. Becherer, J. Becker, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, A. Bolz, A. Bondar, A. Bozek, M. Bračko, P. Branchini, T. E. Browder, A. Budano, S. Bussino, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, J. Cerasoli, M.-C. Chang, P. Chang, P. Cheema, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-J. Cho, S.-K. Choi, S. Choudhury, L. Corona, S. Das, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, T. V. Dong, M. Dorigo, K. Dort, S. Dreyer, S. Dubey, G. Dujany, P. Ecker, M. Eliachevitch, P. Feichtinger, T. Ferber, D. Ferlewicz, T. Fillinger, C. Finck, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, R. Garg, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, T. Grammatico, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, Y. Guan, K. Gudkova, S. Halder, Y. Han, T. Hara, H. Hayashii, S. Hazra, C. Hearty, M. T. Hedges, A. Heidelbach, I. Heredia de la Cruz, M. Hernández Villanueva, T. Higuchi, M. Hoek, M. Hohmann, P. Horak, C.-L. Hsu, T. Humair, T. Iijima, N. Ipsita, A. Ishikawa, R. Itoh, M. Iwasaki, P. Jackson, W. W. Jacobs, E.-J. Jang, Q. P. Ji, S. Jia, Y. Jin, K. K. Joo, H. Junkerkalefeld, H. Kakuno, D. Kalita, A. B. Kaliyar, J. Kandra, K. H. Kang, S. Kang, G. Karyan, T. Kawasaki, F. Keil, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, M. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, Y.-T. Lai, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, R. Leboucher, F. R. Le Diberder, M. J. Lee, D. Levit, C. Li, L. K. Li, Y. Li, Y. B. Li, J. Libby, M. Liu, Q. Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, Y. Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Marinas, L. Martel, C. Martellini, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, K. Matsuoka, D. Matvienko, S. K. Maurya, J. A. McKenna, R. Mehta, F. Meier, M. Merola, F. Metzner, C. Miller, M. Mirra, K. Miyabayashi, H. Miyake, R. Mizuk, G. B. Mohanty, N. Molina-Gonzalez, S. Mondal, S. Moneta, H.-G. Moser, M. Mrvar, R. Mussa, I. Nakamura, Y. Nakazawa, A. Narimani Charan, M. Naruki, D. Narwal, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, G. Nazaryan, C. Niebuhr, S. Nishida, S. Ogawa, Y. Onishchuk, H. Ono, Y. Onuki, P. Oskin, F. Otani, P. Pakhlov, G. Pakhlova, A. Panta, S. Pardi, K. Parham, H. Park, S.-H. Park, B. Paschen, A. Passeri, S. Patra, S. Paul, T. K. Pedlar, R. Peschke, R. Pestotnik, M. Piccolo, L. E. Piilonen, G. Pinna Angioni, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, P. Rados, G. Raeuber, S. Raiz, N. Rauls, M. Reif, S. Reiter, M. Remnev, I. Ripp-Baudot, G. Rizzo, S. H. Robertson, M. Roehrken, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, D. A. Sanders, S. Sandilya, L. Santelj, Y. Sato, V. Savinov, B. Scavino, C. Schwanda, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, C. P. Shen, X. D. Shi, T. Shillington, T. Shimasaki, J.-G. Shiu, D. Shtol, B. Shwartz, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, R. J. Sobie, M. Sobotzik, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, S. Stefkova, R. Stroili, M. Sumihama, K. Sumisawa, W. Sutcliffe, H. Svidras, M. Takizawa, U. Tamponi, K. Tanida, F. Tenchini, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, I. Tsaklidis, M. Uchida, I. Ueda, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. E. Vahsen, R. van Tonder, K. E. Varvell, M. Veronesi, A. Vinokurova, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, B. Wach, M. Wakai, S. Wallner, E. Wang, M.-Z. Wang, X. L. Wang, Z. Wang, A. Warburton, S. Watanuki, C. Wessel, E. Won, X. P. Xu, B. D. Yabsley, S. Yamada, S. B. Yang, J. Yelton, J. H. Yin, K. Yoshihara, C. Z. Yuan, Y. Yusa, L. Zani, B. Zhang, Y. Zhang, V. Zhilich, Q. D. Zhou, X. Y. Zhou, and V. I. Zhukova
- Subjects
e +-e − Experiments ,Exotics ,Quarkonium ,Spectroscopy ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract We present an analysis of the process e + e − → π + π − Υ(nS) (where n = 1, 2, or 3) reconstructed in 19.6 fb −1 of Belle II data during a special run of the SuperKEKB collider at four energy points near the peak of the Υ(10753) resonance. By analyzing the mass distribution of the π + π − Υ(nS) system and the Born cross sections of the e + e − → π + π − Υ(nS) process, we report the first observation of Υ(10753) decays to the π + π − Υ(1S) and π + π − Υ(2S) final states, and find no evidence for decays to π + π − Υ(3S). Possible intermediate states in the π + π − Υ(1S, 2S) transitions are also investigated, and no evidence for decays proceeding via the π ∓ Z b ± $$ {\pi}^{\mp }{Z}_b^{\pm } $$ or f 0(980)Υ(nS) intermediate states is found. We measure Born cross sections for the e + e − → π + π − Υ(nS) process that, combined with results from Belle, obtain the mass and width of Υ(10753) to be (10756.6 ± 2.7 ± 0.9) MeV/c 2 and (29.0 ± 8.8 ± 1.2) MeV, respectively. The relative ratios of the Born cross sections at the Υ(10753) resonance peak are also reported for the first time.
- Published
- 2024
- Full Text
- View/download PDF
11. Measurement of branching-fraction ratios and CP asymmetries in B ± → D CP± K ± decays at Belle and Belle II
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The Belle and Belle II collaboration, I. Adachi, L. Aggarwal, H. Aihara, N. Akopov, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, T. Aushev, V. Aushev, M. Aversano, R. Ayad, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, M. Barrett, J. Baudot, M. Bauer, A. Baur, A. Beaubien, F. Becherer, J. Becker, P. K. Behera, K. Belous, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, A. Bolz, A. Bondar, J. Borah, A. Bozek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, J. Cerasoli, M.-C. Chang, P. Chang, P. Cheema, V. Chekelian, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-K. Choi, Y. Choi, S. Choudhury, J. Cochran, L. Corona, L. M. Cremaldi, T. Czank, S. Das, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. de Marino, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, A. De Yta-Hernandez, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, K. Dort, D. Dossett, S. Dreyer, S. Dubey, G. Dujany, P. Ecker, M. Eliachevitch, P. Feichtinger, T. Ferber, D. Ferlewicz, T. Fillinger, C. Finck, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, R. Garg, A. Garmash, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, S. Granderath, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, Y. Guan, K. Gudkova, S. Halder, Y. Han, T. Hara, K. Hayasaka, H. Hayashii, S. Hazra, C. Hearty, M. T. Hedges, A. Heidelbach, I. Heredia de la Cruz, M. Hernández Villanueva, A. Hershenhorn, T. Higuchi, E. C. Hill, M. Hoek, M. Hohmann, P. Horak, W.-S. Hou, C.-L. Hsu, T. Iijima, K. Inami, N. Ipsita, A. Ishikawa, S. Ito, R. Itoh, M. Iwasaki, P. Jackson, W. W. Jacobs, E.-J. Jang, Q. P. Ji, S. Jia, Y. Jin, A. Johnson, H. Junkerkalefeld, H. Kakuno, A. B. Kaliyar, J. Kandra, K. H. Kang, G. Karyan, T. Kawasaki, F. Keil, C. Ketter, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, M. Kumar, R. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, Y.-T. Lai, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, R. Leboucher, F. R. Le Diberder, M. J. Lee, P. Leitl, D. Levit, P. M. Lewis, C. Li, J. Li, L. K. Li, Y. Li, J. Libby, Q. Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, T. Lueck, T. Luo, C. Lyu, Y. Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, S. Marcello, C. Marinas, L. Martel, C. Martellini, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, T. Matsuda, D. Matvienko, S. K. Maurya, J. A. McKenna, R. Mehta, F. Meier, M. Merola, F. Metzner, M. Milesi, C. Miller, M. Mirra, K. Miyabayashi, R. Mizuk, G. B. Mohanty, N. Molina-Gonzalez, S. Mondal, S. Moneta, H.-G. Moser, M. Mrvar, R. Mussa, I. Nakamura, T. Nakano, Y. Nakazawa, A. Narimani Charan, M. Naruki, Z. Natkaniec, A. Natochii, L. Nayak, G. Nazaryan, N. K. Nisar, S. Nishida, S. Ogawa, H. Ono, Y. Onuki, P. Oskin, F. Otani, P. Pakhlov, G. Pakhlova, A. Paladino, A. Panta, E. Paoloni, S. Pardi, K. Parham, H. Park, S.-H. Park, B. Paschen, A. Passeri, S. Patra, S. Paul, T. K. Pedlar, I. Peruzzi, R. Peschke, R. Pestotnik, F. Pham, M. Piccolo, L. E. Piilonen, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, N. Rad, P. Rados, G. Raeuber, S. Raiz, M. Reif, S. Reiter, M. Remnev, I. Ripp-Baudot, G. Rizzo, L. B. Rizzuto, S. H. Robertson, M. Roehrken, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, D. Sahoo, S. Sandilya, A. Sangal, L. Santelj, Y. Sato, V. Savinov, B. Scavino, C. Schmitt, G. Schnell, C. Schwanda, A. J. Schwartz, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, C. Sharma, X. D. Shi, T. Shillington, J.-G. Shiu, D. Shtol, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, R. J. Sobie, M. Sobotzik, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, S. Stefkova, Z. S. Stottler, R. Stroili, J. Strube, M. Sumihama, K. Sumisawa, W. Sutcliffe, H. Svidras, M. Takahashi, M. Takizawa, U. Tamponi, K. Tanida, F. Tenchini, A. Thaller, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, N. Toutounji, K. Trabelsi, I. Tsaklidis, M. Uchida, I. Ueda, S. Uehara, Y. Uematsu, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. E. Vahsen, R. van Tonder, G. S. Varner, K. E. Varvell, A. Vinokurova, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, B. Wach, M. Wakai, S. Wallner, D. Wang, E. Wang, M.-Z. Wang, Z. Wang, A. Warburton, M. Watanabe, S. Watanuki, M. Welsch, C. Wessel, X. P. Xu, B. D. Yabsley, S. Yamada, W. Yan, S. B. Yang, J. H. Yin, K. Yoshihara, C. Z. Yuan, L. Zani, Y. Zhang, V. Zhilich, J. S. Zhou, Q. D. Zhou, V. I. Zhukova, and R. Žlebčík
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B Physics ,CKM Angle Gamma ,CP Violation ,e +-e − Experiments ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract We report results from a study of B ± → DK ± decays followed by D decaying to the CP-even final state K + K − and CP-odd final state K S 0 π 0 $$ {K}_S^0{\pi}^0 $$ , where D is an admixture of D 0 and D ¯ 0 $$ {\overline{D}}^0 $$ states. These decays are sensitive to the Cabibbo-Kobayashi-Maskawa unitarity-triangle angle ϕ 3. The results are based on a combined analysis of the final data set of 772 × 106 B B ¯ $$ B\overline{B} $$ pairs collected by the Belle experiment and a data set of 198 × 106 B B ¯ $$ B\overline{B} $$ pairs collected by the Belle II experiment, both in electron-positron collisions at the Υ(4S) resonance. We measure the CP asymmetries to be A $$ \mathcal{A} $$ CP+ = (+12.5 ± 5.8 ± 1.4)% and A $$ \mathcal{A} $$ CP− = (−16.7 ± 5.7 ± 0.6)%, and the ratios of branching fractions to be R $$ \mathcal{R} $$ CP+ = 1.164 ± 0.081 ± 0.036 and R $$ \mathcal{R} $$ CP− = 1.151 ± 0.074 ± 0.019. The first contribution to the uncertainties is statistical, and the second is systematic. The asymmetries A $$ \mathcal{A} $$ CP+ and A $$ \mathcal{A} $$ CP− have similar magnitudes and opposite signs; their difference corresponds to 3.5 standard deviations. From these values we calculate 68.3% confidence intervals of (8.5 ° < ϕ 3 < 16.5 ° ) or (84.5 ° < ϕ 3 < 95.5 ° ) or (163.3 ° < ϕ 3 < 171.5 ° ) and 0.321 < r B < 0.465.
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- 2024
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12. AI-based support for optical coherence tomography in age-related macular degeneration
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Virginia Mares, Marcio B. Nehemy, Hrvoje Bogunovic, Sophie Frank, Gregor S. Reiter, and Ursula Schmidt-Erfurth
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Age-related macular degeneration ,Anti-VEGF ,Artificial intelligence ,Choroidal neovascularization ,Deep learning ,Drusen ,Ophthalmology ,RE1-994 - Abstract
Abstract Artificial intelligence (AI) has emerged as a transformative technology across various fields, and its applications in the medical domain, particularly in ophthalmology, has gained significant attention. The vast amount of high-resolution image data, such as optical coherence tomography (OCT) images, has been a driving force behind AI growth in this field. Age-related macular degeneration (AMD) is one of the leading causes for blindness in the world, affecting approximately 196 million people worldwide in 2020. Multimodal imaging has been for a long time the gold standard for diagnosing patients with AMD, however, currently treatment and follow-up in routine disease management are mainly driven by OCT imaging. AI-based algorithms have by their precision, reproducibility and speed, the potential to reliably quantify biomarkers, predict disease progression and assist treatment decisions in clinical routine as well as academic studies. This review paper aims to provide a summary of the current state of AI in AMD, focusing on its applications, challenges, and prospects.
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- 2024
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13. Effects of astaxanthin on gut microbiota of polo ponies during deconditioning and reconditioning periods
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Mia Y. Kawaida, Kendra R. Maas, Timothy E. Moore, Amanda S. Reiter, Nicole M. Tillquist, and Sarah A. Reed
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astaxanthin ,deconditioning ,gut microbiota ,horse ,reconditioning ,Physiology ,QP1-981 - Abstract
Abstract To determine the effects of astaxanthin (ASTX) supplementation on the equine gut microbiota during a deconditioning–reconditioning cycle, 12 polo ponies were assigned to a control (CON; n = 6) or supplemented (ASTX; 75 mg ASTX daily orally; n = 6) group. All horses underwent a 16‐week deconditioning period, with no forced exercise, followed by a 16‐week reconditioning program where physical activity gradually increased. Fecal samples were obtained at the beginning of the study (Baseline), after deconditioning (PostDecon), after reconditioning (PostRecon), and 16 weeks after the cessation of ASTX supplementation (Washout). Following DNA extraction from fecal samples, v4 of 16S was amplified and sequenced to determine operational taxonomic unit tables and α‐diversity and β‐diversity indices. The total number of observed species was greater at Baseline than PostDecon, PostRecon, and Washout (p ≤ 0.02). A main effect of ASTX (p = 0.01) and timepoint (p = 0.01) was observed on β‐diversity, yet the variability of timepoint was greater (13%) than ASTX (6%), indicating a greater effect of timepoint than ASTX. Deconditioning and reconditioning periods affected the abundance of the Bacteroidetes and Fibrobacteres phyla. Physical activity and ASTX supplementation affect the equine gut microbiome, yet conditioning status may have a greater impact.
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- 2024
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14. U.S. cereal rye winter cover crop growth database
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Alexandra M. Huddell, Resham Thapa, Guillermo S. Marcillo, Lori J. Abendroth, Victoria J. Ackroyd, Shalamar D. Armstrong, Gautam Asmita, Muthukumar V. Bagavathiannan, Kipling S. Balkcom, Andrea Basche, Shawn Beam, Kevin Bradley, Lucas Pecci Canisares, Heather Darby, Adam S. Davis, Pratap Devkota, Warren A. Dick, Jeffery A. Evans, Wesley J. Everman, Tauana Ferreira de Almeida, Michael L. Flessner, Lisa M. Fultz, Stefan Gailans, Masoud Hashemi, Joseph Haymaker, Matthew J. Helmers, Nicholas Jordan, Thomas C. Kaspar, Quirine M. Ketterings, Eileen Kladivko, Alexandra Kravchenko, Eugene P. Law, Lauren Lazaro, Ramon G. Leon, Jeffrey Liebert, John Lindquist, Kristen Loria, Jodie M. McVane, Jarrod O. Miller, Michael J. Mulvaney, Nsalambi V. Nkongolo, Jason K. Norsworthy, Binaya Parajuli, Christopher Pelzer, Cara Peterson, Hanna Poffenbarger, Pratima Poudel, Mark S. Reiter, Matt Ruark, Matthew R. Ryan, Spencer Samuelson, John E. Sawyer, Sarah Seehaver, Lovreet S. Shergill, Yogendra Raj Upadhyaya, Mark VanGessel, Ashley L. Waggoner, John M. Wallace, Samantha Wells, Charles White, Bethany Wolters, Alex Woodley, Rongzhong Ye, Eric Youngerman, Brian A. Needelman, and Steven B. Mirsky
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Science - Abstract
Abstract Winter cover crop performance metrics (i.e., vegetative biomass quantity and quality) affect ecosystem services provisions, but they vary widely due to differences in agronomic practices, soil properties, and climate. Cereal rye (Secale cereale) is the most common winter cover crop in the United States due to its winter hardiness, low seed cost, and high biomass production. We compiled data on cereal rye winter cover crop performance metrics, agronomic practices, and soil properties across the eastern half of the United States. The dataset includes a total of 5,695 cereal rye biomass observations across 208 site-years between 2001–2022 and encompasses a wide range of agronomic, soils, and climate conditions. Cereal rye biomass values had a mean of 3,428 kg ha−1, a median of 2,458 kg ha−1, and a standard deviation of 3,163 kg ha−1. The data can be used for empirical analyses, to calibrate, validate, and evaluate process-based models, and to develop decision support tools for management and policy decisions.
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- 2024
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15. Inter and intradevice assessment of microperimetry testing in aging eyes
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Leonard M. Coulibaly, Hamza Mohamed, Philipp Fuchs, Ursula Schmidt-Erfurth, and Gregor S. Reiter
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Medicine ,Science - Abstract
Abstract Microperimetry (MP) is a psychometric examination combining retinal imaging and functional sensitivity testing with an increasing importance due to its potential use as clinical study outcome. We investigated the repeatability of pointwise retinal sensitivity (PWS) on the most advanced commercially available MP devices under their standard setting in a healthy aging population. Two successive MP examinations on both MP-3 (NIDEK CO., Ltd., Gamagori, Japan) and MAIA (CenterVue S.p.A. (iCare), Padova, Italy) were performed on healthy aging subjects in a randomized order. PWS repeatability was analysed for different macular regions and age groups using Bland-Altmann coefficients of repeatability (CoR). A total of 3600 stimuli from 20 healthy individuals with a mean age of 70 (11) years were included. Mean CoR in dB were ±4.61 for MAIA and ±4.55 for MP-3 examinations. A lower repeatability (p=0.005) was detected in the central millimetre on MAIA examinations. Higher subject age was associated with a lower repeatability of PWS on both devices (both p=0.003). Intra-device correlation was good (MAIA: 0.79 [0.76–0.81]; MP-3: 0.72 [0.68–0.76]) whereas a moderate mean inter-device correlation (0.6 [0.55–0.65]) could be detected. In conclusion, older subjects and the foveal region are associated with a worse pointwise repeatability.
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- 2024
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16. Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)
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Oliver Leingang, Sophie Riedl, Julia Mai, Gregor S. Reiter, Georg Faustmann, Philipp Fuchs, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew Lotery, Ursula Schmidt-Erfurth, and Hrvoje Bogunović
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Medicine ,Science - Abstract
Abstract Real-world retinal optical coherence tomography (OCT) scans are available in abundance in primary and secondary eye care centres. They contain a wealth of information to be analyzed in retrospective studies. The associated electronic health records alone are often not enough to generate a high-quality dataset for clinical, statistical, and machine learning analysis. We have developed a deep learning-based age-related macular degeneration (AMD) stage classifier, to efficiently identify the first onset of early/intermediate (iAMD), atrophic (GA), and neovascular (nAMD) stage of AMD in retrospective data. We trained a two-stage convolutional neural network to classify macula-centered 3D volumes from Topcon OCT images into 4 classes: Normal, iAMD, GA and nAMD. In the first stage, a 2D ResNet50 is trained to identify the disease categories on the individual OCT B-scans while in the second stage, four smaller models (ResNets) use the concatenated B-scan-wise output from the first stage to classify the entire OCT volume. Classification uncertainty estimates are generated with Monte-Carlo dropout at inference time. The model was trained on a real-world OCT dataset, 3765 scans of 1849 eyes, and extensively evaluated, where it reached an average ROC-AUC of 0.94 in a real-world test set.
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- 2023
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17. Measurement of CP asymmetries and branching-fraction ratios for B ± → DK ± and Dπ ± with D → K S 0 $$ {K}_{\textrm{S}}^0 $$ K ± π ∓ using Belle and Belle II data
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The Belle and Belle II collaborations, I. Adachi, L. Aggarwal, H. Aihara, N. Akopov, A. Aloisio, N. Anh Ky, D. M. Asner, T. Aushev, V. Aushev, M. Aversano, R. Ayad, V. Babu, H. Bae, S. Bahinipati, P. Bambade, Sw. Banerjee, M. Barrett, J. Baudot, M. Bauer, A. Baur, A. Beaubien, J. Becker, P. K. Behera, J. V. Bennett, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, A. Bolz, A. Bondar, J. Borah, A. Bozek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, J. Cerasoli, M.-C. Chang, P. Chang, R. Cheaib, P. Cheema, V. Chekelian, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, K. Cho, S.-K. Choi, Y. Choi, S. Choudhury, J. Cochran, L. Corona, L. M. Cremaldi, S. Das, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, A. De Yta-Hernandez, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, K. Dort, S. Dreyer, S. Dubey, G. Dujany, P. Ecker, D. Epifanov, P. Feichtinger, T. Ferber, D. Ferlewicz, T. Fillinger, C. Finck, G. Finocchiaro, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, R. Garg, A. Garmash, G. Gaudino, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, D. Ghosh, H. Ghumaryan, G. Giakoustidis, R. Giordano, A. Giri, B. Gobbo, R. Godang, O. Gogota, P. Goldenzweig, W. Gradl, E. Graziani, D. Greenwald, Z. Gruberová, T. Gu, Y. Guan, K. Gudkova, S. Halder, Y. Han, T. Hara, K. Hayasaka, S. Hazra, M. T. Hedges, I. Heredia de la Cruz, M. Hernández Villanueva, A. Hershenhorn, T. Higuchi, E. C. Hill, M. Hoek, M. Hohmann, W.-S. Hou, C.-L. Hsu, T. Iijima, K. Inami, N. Ipsita, A. Ishikawa, S. Ito, R. Itoh, M. Iwasaki, P. Jackson, W. W. Jacobs, D. E. Jaffe, E.-J. Jang, Q. P. Ji, S. Jia, Y. Jin, A. Johnson, H. Junkerkalefeld, A. B. Kaliyar, J. Kandra, K. H. Kang, G. Karyan, T. Kawasaki, F. Keil, C. Ketter, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, M. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, Y.-T. Lai, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, K. Lautenbach, R. Leboucher, F. R. Le Diberder, P. Leitl, D. Levit, P. M. Lewis, C. Li, L. K. Li, J. Libby, Q. Y. Liu, Z. Q. Liu, D. Liventsev, S. Longo, T. Lueck, T. Luo, C. Lyu, Y. Ma, M. Maggiora, S. P. Maharana, R. Maiti, S. Maity, G. Mancinelli, R. Manfredi, E. Manoni, M. Mantovano, D. Marcantonio, C. Marinas, C. Martellini, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, T. Matsuda, K. Matsuoka, D. Matvienko, S. K. Maurya, J. A. McKenna, R. Mehta, F. Meier, M. Merola, F. Metzner, M. Milesi, C. Miller, M. Mirra, K. Miyabayashi, R. Mizuk, G. B. Mohanty, N. Molina-Gonzalez, S. Mondal, S. Moneta, H.-G. Moser, M. Mrvar, R. Mussa, I. Nakamura, Y. Nakazawa, A. Narimani Charan, M. Naruki, Z. Natkaniec, A. Natochii, L. Nayak, G. Nazaryan, N. K. Nisar, S. Nishida, S. Ogawa, H. Ono, Y. Onuki, P. Oskin, F. Otani, P. Pakhlov, G. Pakhlova, A. Paladino, A. Panta, E. Paoloni, S. Pardi, K. Parham, H. Park, S.-H. Park, A. Passeri, S. Patra, S. Paul, T. K. Pedlar, I. Peruzzi, R. Peschke, R. Pestotnik, F. Pham, M. Piccolo, L. E. Piilonen, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, N. Rad, P. Rados, G. Raeuber, S. Raiz, M. Reif, S. Reiter, M. Remnev, I. Ripp-Baudot, G. Rizzo, S. H. Robertson, M. Roehrken, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, D. Sahoo, S. Sandilya, A. Sangal, L. Santelj, Y. Sato, V. Savinov, B. Scavino, C. Schmitt, G. Schnell, M. Schnepf, C. Schwanda, A. J. Schwartz, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, W. Shan, C. Sharma, X. D. Shi, T. Shillington, J.-G. Shiu, D. Shtol, A. Sibidanov, F. Simon, J. B. Singh, J. Skorupa, R. J. Sobie, M. Sobotzik, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, P. Stavroulakis, S. Stefkova, Z. S. Stottler, R. Stroili, M. Sumihama, K. Sumisawa, W. Sutcliffe, H. Svidras, M. Takahashi, M. Takizawa, U. Tamponi, K. Tanida, F. Tenchini, A. Thaller, O. Tittel, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, I. Tsaklidis, M. Uchida, I. Ueda, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. E. Vahsen, R. van Tonder, G. S. Varner, K. E. Varvell, M. Veronesi, V. S. Vismaya, L. Vitale, V. Vobbilisetti, R. Volpe, B. Wach, M. Wakai, S. Wallner, E. Wang, M.-Z. Wang, Z. Wang, A. Warburton, M. Watanabe, S. Watanuki, M. Welsch, C. Wessel, E. Won, X. P. Xu, B. D. Yabsley, S. Yamada, W. Yan, S. B. Yang, J. H. Yin, K. Yoshihara, C. Z. Yuan, Y. Yusa, L. Zani, Y. Zhang, V. Zhilich, J. S. Zhou, Q. D. Zhou, V. I. Zhukova, and R. Žlebčík
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B Physics ,CKM Angle Gamma ,CP Violation ,e +-e − Experiments ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract We measure CP asymmetries and branching-fraction ratios for B ± → DK ± and Dπ ± decays with D → K S 0 $$ {K}_{\textrm{S}}^0 $$ K ± π ∓, where D is a superposition of D 0 and D ¯ $$ \overline{D} $$ 0. We use the full data set of the Belle experiment, containing 772 × 106 B B ¯ $$ B\overline{B} $$ pairs, and data from the Belle II experiment, containing 387 × 106 B B ¯ $$ B\overline{B} $$ pairs, both collected in electron-positron collisions at the Υ(4S) resonance. Our results provide model-independent information on the unitarity triangle angle ϕ 3.
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- 2023
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18. A Systematic Prospective Comparison of Fluid Volume Evaluation across OCT Devices Used in Clinical Practice
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Klaudia Kostolna, MD, Gregor S. Reiter, MD, PhD, Sophie Frank, MD, Leonard M. Coulibaly, MD, Philipp Fuchs, MD, Veronika Röggla, MD, PhD, Markus Gumpinger, MSc, Gabriel P. Leitner Barrios, Virginia Mares, MD, Hrvoje Bogunovic, PhD, and Ursula Schmidt-Erfurth, MD
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Intraretinal fluid ,Neovascular age-related macular degeneration ,Optical coherence tomography ,Pigment epithelial detachment ,Subretinal fluid ,Ophthalmology ,RE1-994 - Abstract
Objective: Treatment decisions in neovascular age-related macular degeneration (nAMD) are mainly based on subjective evaluation of OCT. The purpose of this cross-sectional study was to provide a comparison of qualitative and quantitative differences between OCT devices in a systematic manner. Design: Prospective, cross-sectional study. Subjects: One hundred sixty OCT volumes, 40 eyes of 40 patients with nAMD. Methods: Patients from clinical practice were imaged with 4 different OCT devices during one visit: (1) Spectralis Heidelberg; (2) Cirrus; (3) Topcon Maestro2; and (4) Topcon Triton. Intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED) were manually annotated in all cubes by trained human experts to establish fluid measurements based on expert-reader annotations. Intraretinal fluid, SRF, and PED volume were quantified in nanoliters (nL). Bland–Altman plots were created to analyze the agreement of measurements in the central 1 and 6 mm. The Friedman test was performed to test for significant differences in the central 1, 3, and 6 mm. Main Outcome Measures: Intraretinal fluid, SRF, and PED volume. Results: In the central 6 mm, there was a trend toward higher IRF and PED volumes in Spectralis images compared with the other devices and no differences in SRF volume. In the central 1 mm, the standard deviation of the differences ranged from ± 3 nL to ± 6 nL for IRF, from ± 3 nL to ± 4 nL for SRF, and from ± 7 nL to ± 10 nL for PED in all pairwise comparisons. Manually annotated IRF and SRF volumes showed no significant differences in the central 1 mm. Conclusions: Fluid volume quantification achieved excellent reliability in all 3 retinal compartments on images obtained from 4 OCT devices, particularly for clinically relevant IRF and SRF values. Although fluid volume quantification is reliable in all 4 OCT devices, switching OCT devices might lead to deviating fluid volume measurements with higher agreement in the central 1 mm compared with the central 6 mm, with highest agreement for SRF volume in the central 1 mm. Understanding device-dependent differences is essential for expanding the interpretation and implementation of pixel-wise fluid volume measurements in clinical practice and in clinical trials. Financial Disclosure(s): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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- 2024
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19. Exploring 'Decision regret' in Adjuvant-Treated Melanoma Patients– results from a cross-sectional survey on 200 participants
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T. Grünke, S. Reiter, S. Meyer, J. Graf, N. Schaeffeler, U. Leiter, T. Amaral, L. Flatz, and A. Forschner
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Published
- 2024
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20. Clinical validation for automated geographic atrophy monitoring on OCT under complement inhibitory treatment
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Julia Mai, Dmitrii Lachinov, Sophie Riedl, Gregor S. Reiter, Wolf-Dieter Vogl, Hrvoje Bogunovic, and Ursula Schmidt-Erfurth
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Medicine ,Science - Abstract
Abstract Geographic atrophy (GA) represents a late stage of age-related macular degeneration, which leads to irreversible vision loss. With the first successful therapeutic approach, namely complement inhibition, huge numbers of patients will have to be monitored regularly. Given these perspectives, a strong need for automated GA segmentation has evolved. The main purpose of this study was the clinical validation of an artificial intelligence (AI)-based algorithm to segment a topographic 2D GA area on a 3D optical coherence tomography (OCT) volume, and to evaluate its potential for AI-based monitoring of GA progression under complement-targeted treatment. 100 GA patients from routine clinical care at the Medical University of Vienna for internal validation and 113 patients from the FILLY phase 2 clinical trial for external validation were included. Mean Dice Similarity Coefficient (DSC) was 0.86 ± 0.12 and 0.91 ± 0.05 for total GA area on the internal and external validation, respectively. Mean DSC for the GA growth area at month 12 on the external test set was 0.46 ± 0.16. Importantly, the automated segmentation by the algorithm corresponded to the outcome of the original FILLY trial measured manually on fundus autofluorescence. The proposed AI approach can reliably segment GA area on OCT with high accuracy. The availability of such tools represents an important step towards AI-based monitoring of GA progression under treatment on OCT for clinical management as well as regulatory trials.
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- 2023
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21. Erratum to: Combined analysis of Belle and Belle II data to determine the CKM angle ϕ 3 using B+ → D( K S 0 $$ {\textrm{K}}_{\textrm{S}}^0 $$ h+h − )h+ decays
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The BELLE and Belle II collaborations, F. Abudinén, L. Aggarwal, H. Ahmed, H. Aihara, N. Akopov, S. Al Said, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, V. Aushev, R. Ayad, V. Babu, S. Bacher, S. Baehr, S. Bahinipati, P. Bambade, Sw. Banerjee, S. Bansal, J. Baudot, J. Becker, P. K. Behera, K. Belous, J. V. Bennett, F. U. Bernlochner, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, F. Bianchi, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, G. Bonvicini, J. Borah, A. Bozek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, D. Červenkov, P. Cheema, V. Chekelian, A. Chen, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, S.-J. Cho, S.-K. Choi, Y. Choi, S. Choudhury, D. Cinabro, L. Corona, S. Cunliffe, T. Czank, S. Das, F. Dattola, E. De La Cruz-Burelo, G. de Marino, S. K. Maurya, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, A. De Yta-Hernandez, R. Dhamija, A. Di Canto, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, D. Dossett, S. Dubey, G. Dujany, M. Eliachevitch, D. Epifanov, P. Feichtinger, D. Ferlewicz, T. Fillinger, S. Fiore, A. Fodor, F. Forti, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, V. Gaur, A. Gaz, R. Giordano, A. Giri, A. Glazov, R. Godang, P. Goldenzweig, B. Golob, W. Gradl, E. Graziani, D. Greenwald, T. Gu, Y. Guan, K. Gudkova, J. Guilliams, C. Hadjivasiliou, S. Halder, T. Hara, O. Hartbrich, K. Hayasaka, H. Hayashii, S. Hazra, I. Heredia de la Cruz, A. Hershenhorn, T. Higuchi, E. C. Hill, W.-S. Hou, C.-L. Hsu, T. Iijima, K. Inami, A. Ishikawa, M. Iwasaki, W. W. Jacobs, E.-J. Jang, Y. Jin, H. Junkerkalefeld, A. B. Kaliyar, K. H. Kang, R. Karl, G. Karyan, Y. Kato, C. Ketter, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, S. Korpar, E. Kovalenko, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, J. Kumar, M. Kumar, R. Kumar, K. Kumara, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, Y.-T. Lai, C. La Licata, L. Lanceri, J. S. Lange, R. Leboucher, S. C. Lee, P. Leitl, J. Li, S. X. Li, L. Li Gioi, J. Libby, K. Lieret, Z. Liptak, Q. Y. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, M. Maggiora, R. Maiti, S. Maity, R. Manfredi, E. Manoni, S. Marcello, A. Martini, L. Massaccesi, M. Masuda, K. Matsuoka, D. Matvienko, J. A. McKenna, F. Meier, M. Merola, F. Metzner, M. Milesi, C. Miller, K. Miyabayashi, R. Mizuk, G. B. Mohanty, N. Molina-Gonzalez, H.-G. Moser, F. Mueller, C. Murphy, R. Mussa, K. R. Nakamura, T. Nakano, M. Nakao, M. Naruki, D. Narwal, A. Natochii, L. Nayak, M. Nayak, G. Nazaryan, N. K. Nisar, S. Nishida, K. Nishimura, Y. Onishchuk, H. Ono, P. Oskin, G. Pakhlova, A. Paladino, A. Panta, E. Paoloni, K. Parham, S.-H. Park, A. Passeri, A. Pathak, S. Patra, R. Pestotnik, L. E. Piilonen, T. Podobnik, S. Pokharel, L. Polat, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, A. Rabusov, P. Rados, S. Raiz, S. Reiter, M. Remnev, I. Ripp-Baudot, G. Rizzo, L. B. Rizzuto, S. H. Robertson, M. Röhrken, J. M. Roney, A. Rostomyan, N. Rout, D. Sahoo, D. A. Sanders, S. Sandilya, L. Santelj, Y. Sato, V. Savinov, B. Scavino, G. Schnell, J. Schueler, A. J. Schwartz, Y. Seino, A. Selce, K. Senyo, M. E. Sevior, M. Shapkin, C. Sharma, T. Shillington, B. Shwartz, A. Sibidanov, F. Simon, J. B. Singh, A. Soffer, E. Solovieva, S. Spataro, B. Spruck, S. Stefkova, Z. S. Stottler, R. Stroili, K. Sumisawa, W. Sutcliffe, S. Y. Suzuki, M. Tabata, M. Takizawa, K. Tanida, F. Tenchini, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, M. Uchida, I. Ueda, T. Uglov, K. Uno, S. Uno, Y. Ushiroda, S. E. Vahsen, R. van Tonder, K. E. Varvell, A. Vinokurova, L. Vitale, H. M. Wakeling, E. Wang, M.-Z. Wang, X. L. Wang, A. Warburton, S. Watanuki, O. Werbycka, C. Wessel, E. Won, B. D. Yabsley, W. Yan, H. Ye, K. Yoshihara, Y. Yusa, L. Zani, Y. Zhai, Y. Zhang, V. Zhilich, Q. D. Zhou, X. Y. Zhou, and V. I. Zhukova
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Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Published
- 2022
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22. Combined analysis of Belle and Belle II data to determine the CKM angle ϕ 3 using B + → D( K S 0 $$ {K}_S^0 $$ h + h − )h + decays
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The Belle and Belle II collaborations, F. Abudinén, L. Aggarwal, H. Ahmed, H. Aihara, N. Akopov, S. Al Said, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, V. Aushev, R. Ayad, V. Babu, S. Bacher, S. Baehr, S. Bahinipati, P. Bambade, Sw. Banerjee, S. Bansal, J. Baudot, J. Becker, P. K. Behera, K. Belous, J. V. Bennett, F. U. Bernlochner, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, F. Bianchi, T. Bilka, D. Biswas, A. Bobrov, D. Bodrov, G. Bonvicini, J. Borah, A. Bozek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, D. Červenkov, P. Cheema, V. Chekelian, A. Chen, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H.-E. Cho, S.-J. Cho, S.-K. Choi, Y. Choi, S. Choudhury, D. Cinabro, L. Corona, S. Cunliffe, T. Czank, S. Das, F. Dattola, E. De La Cruz-Burelo, G. de Marino, S. K. Maurya, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, A. De Yta-Hernandez, R. Dhamija, A. Di Canto, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, D. Dossett, S. Dubey, G. Dujany, M. Eliachevitch, D. Epifanov, P. Feichtinger, D. Ferlewicz, T. Fillinger, S. Fiore, A. Fodor, F. Forti, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, V. Gaur, A. Gaz, R. Giordano, A. Giri, A. Glazov, R. Godang, P. Goldenzweig, B. Golob, W. Gradl, E. Graziani, D. Greenwald, T. Gu, Y. Guan, K. Gudkova, J. Guilliams, C. Hadjivasiliou, S. Halder, T. Hara, O. Hartbrich, K. Hayasaka, H. Hayashii, S. Hazra, I. Heredia de la Cruz, A. Hershenhorn, T. Higuchi, E. C. Hill, W.-S. Hou, C.-L. Hsu, T. Iijima, K. Inami, A. Ishikawa, M. Iwasaki, W. W. Jacobs, E.-J. Jang, Y. Jin, H. Junkerkalefeld, A. B. Kaliyar, K. H. Kang, R. Karl, G. Karyan, Y. Kato, C. Ketter, C. Kiesling, C.-H. Kim, D. Y. Kim, K.-H. Kim, Y.-K. Kim, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, S. Korpar, E. Kovalenko, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, J. Kumar, M. Kumar, R. Kumar, K. Kumara, A. Kuzmin, Y.-J. Kwon, S. Lacaprara, Y.-T. Lai, C. La Licata, L. Lanceri, J. S. Lange, R. Leboucher, S. C. Lee, P. Leitl, J. Li, S. X. Li, L. Li Gioi, J. Libby, K. Lieret, Z. Liptak, Q. Y. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, M. Maggiora, R. Maiti, S. Maity, R. Manfredi, E. Manoni, S. Marcello, A. Martini, L. Massaccesi, M. Masuda, K. Matsuoka, D. Matvienko, J. A. McKenna, F. Meier, M. Merola, F. Metzner, M. Milesi, C. Miller, K. Miyabayashi, R. Mizuk, G. B. Mohanty, N. Molina-Gonzalez, H.-G. Moser, F. Mueller, C. Murphy, R. Mussa, K. R. Nakamura, T. Nakano, M. Nakao, M. Naruki, D. Narwal, A. Natochii, L. Nayak, M. Nayak, G. Nazaryan, N. K. Nisar, S. Nishida, K. Nishimura, Y. Onishchuk, H. Ono, P. Oskin, G. Pakhlova, A. Paladino, A. Panta, E. Paoloni, K. Parham, S.-H. Park, A. Passeri, A. Pathak, S. Patra, R. Pestotnik, L. E. Piilonen, T. Podobnik, S. Pokharel, L. Polat, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, A. Rabusov, P. Rados, S. Raiz, S. Reiter, M. Remnev, I. Ripp-Baudot, G. Rizzo, L. B. Rizzuto, S. H. Robertson, M. Röhrken, J. M. Roney, A. Rostomyan, N. Rout, D. Sahoo, D. A. Sanders, S. Sandilya, L. Santelj, Y. Sato, V. Savinov, B. Scavino, G. Schnell, J. Schueler, A. J. Schwartz, Y. Seino, A. Selce, K. Senyo, M. E. Sevior, M. Shapkin, C. Sharma, T. Shillington, B. Shwartz, A. Sibidanov, F. Simon, J. B. Singh, A. Soffer, E. Solovieva, S. Spataro, B. Spruck, S. Stefkova, Z. S. Stottler, R. Stroili, K. Sumisawa, W. Sutcliffe, S. Y. Suzuki, M. Tabata, M. Takizawa, K. Tanida, F. Tenchini, R. Tiwary, D. Tonelli, E. Torassa, K. Trabelsi, M. Uchida, I. Ueda, T. Uglov, K. Uno, S. Uno, Y. Ushiroda, S. E. Vahsen, R. van Tonder, K. E. Varvell, A. Vinokurova, L. Vitale, H. M. Wakeling, E. Wang, M.-Z. Wang, X. L. Wang, A. Warburton, S. Watanuki, O. Werbycka, C. Wessel, E. Won, B. D. Yabsley, W. Yan, H. Ye, K. Yoshihara, Y. Yusa, L. Zani, Y. Zhai, Y. Zhang, V. Zhilich, Q. D. Zhou, X. Y. Zhou, and V. I. Zhukova
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B Physics ,CKM Angle Gamma ,e +-e − Experiments ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract We present a measurement of the Cabibbo-Kobayashi-Maskawa unitarity triangle angle ϕ 3 (also known as γ) using a model-independent Dalitz plot analysis of B + → D ( K S 0 $$ {K}_S^0 $$ h + h − )h +, where D is either a D 0 or D ¯ $$ \overline{D} $$ 0 meson and h is either a π or K. This is the first measurement that simultaneously uses Belle and Belle II data, combining samples corresponding to integrated luminosities of 711 fb −1 and 128 fb −1, respectively. All data were accumulated from energy-asymmetric e + e − collisions at a centre-of-mass energy corresponding to the mass of the Υ(4S) resonance. We measure ϕ 3 = (78.4 ± 11.4 ± 0.5 ± 1.0)°, where the first uncertainty is statistical, the second is the experimental systematic uncertainty and the third is from the uncertainties on external measurements of the D-decay strong-phase parameters.
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- 2022
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23. Cover crop termination options and application of remote sensing for evaluating termination efficiency
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Vipin Kumar, Vijay Singh, Michael L. Flessner, Joseph Haymaker, Mark S. Reiter, and Steven B. Mirsky
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Medicine ,Science - Abstract
Efficient termination of cover crops is an important component of cover crop management. Information on termination efficiency can help in devising management plans but estimating herbicide efficacy is a tedious task and potential remote sensing technologies and vegetative indices (VIs) have not been explored for this purpose. This study was designed to evaluate potential herbicide options for the termination of wheat (Triticum aestivum L.), cereal rye (Secale cereale L.), hairy vetch (Vicia villosa Roth.), and rapeseed (Brassica napus L.), and to correlate different VIs with visible termination efficiency. Nine herbicides and one roller-crimping treatment were applied to each cover crop. Among different herbicides used, glyphosate, glyphosate + glufosinate, paraquat, and paraquat + metribuzin provided more than 95% termination for both wheat and cereal rye 28 days after treatment (DAT). For hairy vetch, 2,4-D + glufosinate and glyphosate + glufosinate, resulted in 99 and 98% termination efficiency, respectively, followed by 2,4-D + glyphosate and paraquat with 92% termination efficiency 28 DAT. No herbicide provided more than 90% termination of rapeseed and highest control was provided by paraquat (86%), 2,4-D + glufosinate (85%), and 2,4-D + glyphosate (85%). Roller-crimping (without herbicide application) did not provide effective termination of any cover crop with 41, 61, 49, and 43% termination for wheat, cereal rye, hairy vetch, and rapeseed, respectively. Among the VIs, Green Leaf Index had the highest Pearson correlation coefficient for wheat (r = -0.786, p =
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- 2023
24. Examining alternative constructions of power and mobility in the Early Nordic Bronze Age: A case study of a local elite female from Denmark
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Samantha S. Reiter and Karin M. Frei
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mobility ,genre ,Denmark ,Bronze Age ,gender ,migration ,Archaeology ,CC1-960 - Abstract
The recent and ever-increasing amount of studies investigating human mobility for single individuals in the European Bronze Age (Bergerbrant et al. 2017; Blank et al. 2018; Cavazzutti et al. 2019a, 2019b; Felding et al. 2020; De Angelis et al. 2021; Frei 2012; Frei et al. 2015a, 2015b, 2017, 2019, 2020; Frei & Frei 2011, 2013; Frei & Price 2012; Hoogewerff et al. 2019; Knipper 2004; Ladegaard-Pedersen et al. 2020, 2021; Nielsen et al. 2020a, 2020b; Price et al. 2011; Reiter 2015; Reiter et al. 2019; Reiter & Frei 2015; Scheeres et al. 2014; Snoeck et al. 2015; Taylor et al. 2020; Turck et al. 2012) presents us with an unprecedented opportunity to study mobility theories. By examining these new body of data as a whole, patterns may emerge. There is a scholarly movement which is beginning to go beyond producing evidence for movement/non-movement to starting to assess social strategies which may have caused mobility/non-mobility (Reiter & Frei 2019)
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- 2021
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25. Influence of lens opacities and cataract severity on quantitative fundus autofluorescence as a secondary outcome of a randomized clinical trial
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Gregor S. Reiter, Luca Schwarzenbacher, Daniel Schartmüller, Veronika Röggla, Christina Leydolt, Rupert Menapace, Ursula Schmidt-Erfurth, and Stefan Sacu
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Medicine ,Science - Abstract
Abstract The aim of this study is to investigate the impact of age-related lens opacities and advanced cataract, quantified by LOCS III grading, on quantitative autofluorescence (qAF) measurements in patients before and after cataract surgery. Images from a randomized controlled trial evaluating the impact of femtosecond-laser assisted cataract surgery (FLACS) on retinal thickness were analyzed post-hoc. One-hundred and twenty eyes from 60 consecutive patients with age-related cataract were included and assessed with qAF and optical coherence tomography (OCT) before, 1, 3 and 6 weeks after cataract surgery (randomized 1:1 to FLACS or phacoemulsification). LOCS III grading was performed before surgery. Pre- to post-surgical qAF values, as well as the impact of LOCS III gradings, surgery technique, gender, axial length and age on post-surgery qAF values was investigated using generalized linear mixed models. For this analysis, 106 eyes from 53 patients were usable. No difference in qAF was found between FLACS and phacoemulsification (p > 0.05) and results were pooled for the total cohort. Mean pre-surgical qAF was 89.45 ± 44.9 qAF units, with a significant mean increase of 178.4–191.6% after surgery (p 0.05). Higher LOCS III cortical opacity quantifications were associated with a significantly greater increase in qAF after surgery (estimate: 98.56, p = 0.006) and nuclear opacities showed a trend toward an increased change (estimate: 48.8, p = 0.095). Considerable interactions were identified between baseline qAF and cortical opacities, nuclear opacities and posterior subcapsular opacities, as well as nuclear opacities and cortical opacities (p = 0.012, p = 0.064 and p = 0.069, respectively). Quantitative autofluorescence signals are significantly reconstituted after cataract surgery and LOCS III gradings are well associated with post-surgical qAF values. Careful consideration of age-related lens opacities is vital for the correct interpretation of qAF, especially in retinal diseases affecting the elderly. ClinicalTrials.gov Identifier: NCT03465124.
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- 2021
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26. Predicting treat-and-extend outcomes and treatment intervals in neovascular age-related macular degeneration from retinal optical coherence tomography using artificial intelligence
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Hrvoje Bogunović, Virginia Mares, Gregor S. Reiter, and Ursula Schmidt-Erfurth
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neovascular age related macular degeneration ,optical coherence tomography ,anti-VEGF (vascular endothelial growth factor) ,image analysis ,retina ,machine learning ,Medicine (General) ,R5-920 - Abstract
PurposeTo predict visual outcomes and treatment needs in a treat & extend (T&E) regimen in neovascular age-related macular degeneration (nAMD) using a machine learning model based on quantitative optical coherence tomography (OCT) imaging biomarkers.Materials and methodsStudy eyes of 270 treatment-naïve subjects, randomized to receiving ranibizumab therapy in the T&E arm of a randomized clinical trial were considered. OCT volume scans were processed at baseline and at the first follow-up visit 4 weeks later. Automated image segmentation was performed, where intraretinal (IRF), subretinal (SRF) fluid, pigment epithelial detachment (PED), hyperreflective foci, and the photoreceptor layer were delineated using a convolutional neural network (CNN). A set of respective quantitative imaging biomarkers were computed across an Early Treatment Diabetic Retinopathy Study (ETDRS) grid to describe the retinal pathomorphology spatially and its change after the first injection. Lastly, using the computed set of OCT features and available clinical and demographic information, predictive models of outcomes and retreatment intervals were built using machine learning and their performance evaluated with a 10-fold cross-validation.ResultsData of 228 evaluable patients were included, as some had missing scans or were lost to follow-up. Of those patients, 55% reached and maintained long (8, 10, 12 weeks) and another 45% stayed at short (4, 6 weeks) treatment intervals. This provides further evidence for a high disease activity in a major proportion of patients. The model predicted the extendable treatment interval group with an AUROC of 0.71, and the visual outcome with an AUROC of up to 0.87 when utilizing both, clinical and imaging features. The volume of SRF and the volume of IRF, remaining at the first follow-up visit, were found to be the most important predictive markers for treatment intervals and visual outcomes, respectively, supporting the important role of quantitative fluid parameters on OCT.ConclusionThe proposed Artificial intelligence (AI) methodology was able to predict visual outcomes and retreatment intervals of a T&E regimen from a single injection. The result of this study is an urgently needed step toward AI-supported management of patients with active and progressive nAMD.
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- 2022
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27. Quantitative assessment of retinal fluid in neovascular age-related macular degeneration under anti-VEGF therapy
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Gregor S. Reiter and Ursula Schmidt-Erfurth
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Ophthalmology ,RE1-994 - Abstract
The retinal world has been revolutionized by optical coherence tomography (OCT) and anti-vascular endothelial growth factor (VEGF) therapy. The numbers of intravitreal injections are on a constant rise and management in neovascular age-related macular degeneration (nAMD) is mainly driven by the qualitative assessment of macular fluid as detected on OCT scans. The presence of macular fluid, particularly subretinal fluid (SRF) and intraretinal fluid (IRF), has been used to trigger re-treatments in clinical trials and the real world. However, large discrepancies can be found between the evaluations of different readers or experts and especially small amounts of macular fluid might be missed during this process. Pixel-wise detection of macular fluid uses an entire OCT volume to calculate exact volumes of retinal fluid. While manual annotations of such pixel-wise fluid detection are unfeasible in a clinical setting, artificial intelligence (AI) is able to overcome this hurdle by providing real-time results of macular fluid in different retinal compartments. Quantitative fluid assessments have been used for various post hoc analyses of randomized controlled trials, providing novel insights into anti-VEGF treatment regimens. Nonetheless, the application of AI-algorithms in a prospective patient care setting is still limited. In this review, we discuss the use of quantitative fluid assessment in nAMD during anti-VEGF therapy and provide an outlook to novel forms of patient care with the support of AI quantifications.
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- 2022
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28. Cover crops as a weed seed bank management tool: A soil down review
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Cynthia Sias, Bethany R. Wolters, Mark S. Reiter, and Michael L. Flessner
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Soil seed bank ,integrated weed management ,sustainability ,germination ,seed dormancy. ,Agriculture ,Plant culture ,SB1-1110 - Abstract
This review explores ways that cover crops alter soil environmental conditions that can be used to decrease seed survival, maintain weed seed dormancy, and reduce germination cues, thus reducing above-ground weed pressures. Cover crops are grown between cash crops in rotation, and their residues persist into subsequent crops, impacting weed seeds both during and after cover crops’ growth. Compared to no cover crop, cover crops may reduce weed seedling recruitment and density via: i) reducing soil temperature and fluctuations thereof; ii) reducing light availability and altering light quality; and iii) trapping nitrogen in the cover crop, thus making it less soil-available to weeds. In addition, cover crops may provide habitat for above- and below-ground fauna, resulting in increased weed seed predation. The allelopathic nature of some cover crops can also suppress weeds. However, not all effects of cover crops discourage weeds, such as potentially increasing soil oxygen. Furthermore, cover crops can reduce soil moisture while actively growing but conserve soil moisture after termination, resulting in time-dependent effects. Similarly, decaying legume cover crops can release nitrogen into the soil, potentially aiding weeds. The multiplicity of cover crop species and mixtures, differing responses between weed species, environmental conditions, and other factors hampers uniform recommendations and complicates management for producers. But, cover crops that are managed to maximize biomass, do not increase soil nitrogen, and are terminated at or after cash crop planting will have the greatest potential to attenuate the weed seed bank. There are still many questions to be answered, such as if targeting management efforts at the weed seed bank level is agronomically worthwhile. Future research on cover crops and weed management should include measurements of soil seed banks, including dormancy status, predation levels, and germination. Highlights - Cover crops alter the weed seed bank environment, influencing survival, dormancy, and germination. - Weed seed germination may be reduced by decreased temperature and fluctuations thereof, light, and soil nitrogen. - Weed seed germination may be increased by greater soil moisture, soil nitrogen, and oxygen. - Management should maximize cover crop biomass, decrease soil nitrogen, and delay termination for the greatest potential. - Future research should include measurements of weed seed banks, including dormancy status, predation, and germination.
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- 2021
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29. Nitrogen Uptake and Use Efficiency in Sweet Basil Production under Low Tunnels
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Tej P. Acharya, Mark S. Reiter, Greg Welbaum, and Ramón A. Arancibia
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apparent n recovery efficiency ,fertilization ,nitrogen use efficiency ,ocimum basilicum ,rowcover ,Plant culture ,SB1-1110 - Abstract
Low tunnels (LTs) enhance vegetative growth and production in comparison with open field, but it is not known whether nitrogen (N) requirements and use efficiency increase or decrease for optimal crop performance. Therefore, the purpose of this study was to determine differences in N requirement, uptake, and use efficiency in basil grown under LTs compared with open field. The experimental design each year was a split plot with four replications. The main effect (plots) was N fertilizer application rate (0, 37, 74, 111, 148, and 185 kg·ha−1) and the secondary effect (subplots) was production system (LTs covered with spun-bonded rowcover vs. open field). Plant height and stem diameter were greater under LT than open field; however, they were unaffected by N fertilizer rate. Total fresh and dry weight increased with LT by 61% and 58% and by 50% and 48% in 2017 and 2018, respectively. Optimum N rates for fresh weight (98% of peak yield) were 124 and 104 kg·ha−1 N under LT and open field, respectively. Leaf N concentration decreased under LT, but total plant N uptake increased because of increased dry weight. Without fertilization, soil available N use efficiency (SNUE) for dry weight increased by 45% and 66% in 2017 and 2018, respectively. Mixed results were obtained for N fertilizer use efficiency (NFUE) in response to N rate. In conclusion, LT increased summer production of sweet basil, total plant N uptake, and SNUE.
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- 2020
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30. Incidence and surgical care of retinal detachment during the first SARS-CoV-2 lockdown period at a tertiary referral center in Austria.
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Markus Schranz, Michael Georgopoulos, Stefan Sacu, Adrian Reumueller, Gregor S Reiter, Georgios Mylonas, Ursula Schmidt-Erfurth, and Andreas Pollreisz
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Medicine ,Science - Abstract
PurposeTo assess the influence of the SARS-CoV-2 lockdown in spring on frequency, severity and quality of care of rhegmatogeneous retinal detachments (RRD) in a tertiary referral center in Vienna, Austria.MethodsSingle center, consecutive case series with historical controls. Patients presenting with primary RRD during the first Austrian SARS-CoV-2 lockdown (March 16th-May 3rd 2020) and a corresponding control group consisting of the same time period of the preceding 3 years.ResultsThe mean number of patients with RD in the reference group (RG) was 22 (± 1) and in the lockdown group (LG) 15. Median total delay, defined as onset of symptoms until surgery, in the RG was 5 (lower quartile: 3.0; upper quartile: 8.0) compared to 7 (3.0; 12.0) days in the LG, (p = 0.740). During the lockdown 67% of patients were referred from an external ophthalmologist compared to 52% in the RG, (p = 0.395). 34% of patients in the RG presented with an attached macula compared to 33% in the LG (p = 0.597). PVR was present in 49% of cases in the RG compared to 73% in the LG. Single surgery success (SSS) rates were lower in the LG (73.3%) compared to the RG (85.3%), (p = 0.275).ConclusionPatients with RRD during the SARS-CoV-2 lockdown presented and were treated within acceptable time limits, showed the same macula-on ratios but a higher PVR rate and a tendency towards worse SSS rates compared to the time period of the preceding 3 years.
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- 2021
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31. Into the fire: Investigating the introduction of cremation to Nordic Bronze Age Denmark: A comparative study between different regions applying strontium isotope analyses and archaeological methods.
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Samantha S Reiter, Niels Algreen Møller, Bjarne Henning Nielsen, Jens-Henrik Bech, Anne-Louise Haack Olsen, Marie Louise Schjellerup Jørkov, Flemming Kaul, Ulla Mannering, and Karin M Frei
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Medicine ,Science - Abstract
Changes in funerary practices are key to the understanding of social transformations of past societies. Over the course of the Nordic Bronze Age, funerary practices changed from inhumation to cremation. The aim of this study is to shed light on this fundamental change through a cross-examination of archaeometric provenance data and archaeological discussions of the context and layouts of early cremation graves. To this end, we conducted 19 new provenance analyses of strontium isotopes from Early Nordic Bronze age contexts in Thisted County and Zealand and Late Bronze Age contexts from Thisted County and Vesthimmerland (Denmark). These data are subsequently compared with data from other extant relevant studies, including those from Late Bronze Age Fraugde on the Danish island of Fyn. Overall, the variations within our provenience data suggest that the integration and establishment of cremation may not have had a one-to-one relationship with in-migration to Nordic Bronze Age Denmark. Moreover, there seems to be no single blanket scenario which dictated the uptake of cremation as a practice within this part of Southern Scandinavia. By addressing habitus in relation to the deposition of cremations as juxtaposed with these provenance data¸ we hypothesize several potential pathways for the uptake of cremation as a new cultural practice within the Danish Nordic Bronze Age and suggest that this may have been a highly individual process, whose tempo may have been dictated by the specificities of the region(s) concerned.
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- 2021
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32. Male Social Roles and Mobility in the Early Nordic Bronze Age. A Perspective from SE Jutland
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Louise Felding, Samantha S. Reiter, Karin M. Frei, and Helle Vandkilde
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Bronze Age ,Networks ,Strontium Isotopes ,Mobility ,Gender ,Male Identity ,Archaeology ,CC1-960 - Abstract
This paper provides a discussion of the increasing amount of mobility data from the Early Nordic Bronze Age (Early NBA), c. 1600-1100 BCE with particular focus on NBA II and III (c. 1500-1100 BCE). As a male-oriented study, the intent is to develop current perspectives on gender roles in the Early NBA in relation to mobility. In order to achieve our aim, we conducted strontium isotope analyses and radiocarbon dating combined with an in-depth archaeological investigation of grave goods obtained from two male burials from the Vejle region, SE Jutland. To contextualise the case study results, we also conducted network analyses of male gear from burials and ritual deposits on a regional scale, which reveal differentiated roles among men in the upper social echelon. The warrior emerged as an overall identity for high-ranking males whilst differences in male weaponry interestingly suggest that a minimum of three kinds of warriors were distinguished, reflecting social roles in war and society. The results suggest that one of the individuals was local while the other might have moved. The overall aim is to demonstrate that robust results regarding gendered mobilities will depend on the combination of several methods, datasets and scales of inquiry.
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- 2020
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33. Comparing satellites and vegetation indices for cover crop biomass estimation.
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Michael Swoish, Jose F. Da Cunha Leme Filho, Mark S. Reiter, James B. Campbell, and Wade E. Thomason
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- 2022
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34. The Effect of Pegcetacoplan Treatment on Photoreceptor Maintenance in Geographic Atrophy Monitored by Artificial Intelligence–Based OCT Analysis
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Sophie Riedl, Wolf-Dieter Vogl, Julia Mai, Gregor S. Reiter, Dmitrii Lachinov, Christoph Grechenig, Alex McKeown, Lukas Scheibler, Hrvoje Bogunović, and Ursula Schmidt-Erfurth
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Ophthalmology ,Artificial Intelligence ,Geographic Atrophy ,Visual Acuity ,Humans ,Prospective Studies ,Fluorescein Angiography ,Tomography, Optical Coherence - Abstract
To investigate the therapeutic effect of intravitreal pegcetacoplan on the inhibition of photoreceptor (PR) loss and thinning in geographic atrophy (GA) on conventional spectral-domain OCT (SD-OCT) imaging by deep learning-based automated PR quantification.Post hoc analysis of a prospective, multicenter, randomized, sham (SM)-controlled, masked phase II trial investigating the safety and efficacy of pegcetacoplan for the treatment of GA because of age-related macular degeneration.Study eyes of 246 patients, randomized 1:1:1 to monthly (AM), bimonthly (AEOM), and SM treatment.We performed fully automated, deep learning-based segmentation of retinal pigment epithelium (RPE) loss and PR thickness on SD-OCT volumes acquired at baseline and months 2, 6, and 12. The difference in the change of PR loss area was compared among the treatment arms. Change in PR thickness adjacent to the GA borders and the entire 20° scanning area was compared between treatment arms.Square-root transformed PR loss area in μm or mm, PR thickness in μm, and PR loss/RPE loss ratio.A total of 31 556 B-scans of 644 SD-OCT volumes of 161 study eyes (AM 52, AEOM 54, SM 56) were evaluated from baseline to month 12. Comparison of the mean change in PR loss area revealed statistically significantly less growth in the AM group at months 2, 6, and 12 than in the SM group (-41 μm ± 219 vs. 77 μm ± 126; P = 0.0004; -5 μm ± 221 vs. 156 μm ± 139; P0.0001; 106 μm ± 400 vs. 283 μm ± 226; P = 0.0014). Photoreceptor thinning was significantly reduced under AM treatment compared with SM within the GA junctional zone, as well as throughout the 20° area. A trend toward greater inhibition of PR loss than RPE loss was observed under therapy.Distinct and reliable quantification of PR loss using deep learning-based algorithms offers an essential tool to evaluate therapeutic efficacy in slowing disease progression. Photoreceptor loss and thinning are reduced by intravitreal complement C3 inhibition. Automated quantification of PR loss/maintenance based on OCT images is an ideal approach to reliably monitor disease activity and therapeutic efficacy in GA management in clinical routine and regulatory trials.
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- 2022
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35. Therapeutic response in the HAWK and HARRIER trials using deep learning in retinal fluid volume and compartment analysis
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Ursula Schmidt-Erfurth, Zufar Mulyukov, Bianca S. Gerendas, Gregor S. Reiter, Daniel Lorand, Georges Weissgerber, and Hrvoje Bogunović
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Ophthalmology - Abstract
Objectives To assess the therapeutic response to brolucizumab and aflibercept by deep learning/OCT-based analysis of macular fluid volumes in neovascular age-related macular degeneration. Methods In this post-hoc analysis of two phase III, randomised, multi-centre studies (HAWK/HARRIER), 1078 and 739 treatment-naive eyes receiving brolucizumab or aflibercept according to protocol-specified criteria in HAWK and HARRIER, respectively, were included. Macular fluid on 41,840 OCT scans was localised and quantified using a validated deep learning-based algorithm. Volumes of intraretinal fluid (IRF), subretinal fluid (SRF), pigment epithelial detachment (PED) for all central macular areas (1, 3 and 6 mm) in nanolitres (nL) and best corrected visual acuity (BCVA) change in ETDRS letters were associated using mixed models for repeated measures. Results Baseline IRF volumes decreased by >92% following the first intravitreal injection and consistently remained low during follow-up. Baseline SRF volumes decreased by >74% following the first injection, while PED volume resolved by 68–79% of its baseline volume. Resolution of SRF and PED was dependent on the substance and regimen used. Larger residual post-loading IRF, SRF and PED volumes were all independently associated with progressive vision loss during maintenance, where the differences in mean BCVA change between high and low fluid volume subgroups for IRF, SRF and PED were 3.4 letters (p p p Conclusions Deep-learning methods allow an accurate assessment of substance and regimen efficacy. Irrespectively, all fluid compartments were found to be important markers of disease activity and were relevant for visual outcomes.
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- 2022
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36. Künstliche Intelligenz im Management der Anti-VEGF-Therapie: der 'Vienna Fluid Monitor' in der klinischen Praxis
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P. Fuchs, L. Coulibaly, G. S. Reiter, and U. Schmidt-Erfurth
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Ophthalmology - Abstract
ZusammenfassungDer Vienna Fluid Monitor ist ein künstlicher Intelligenz(KI)-Algorithmus zur präzisen Lokalisation und Quantifizierung von retinaler Flüssigkeit. Der Algorithmus soll Klinikern und Klinikerinnen helfen, objektive und genaue Behandlungsentscheidungen bei der antivaskulären endothelialen Wachstumsfaktor(Anti-VEGF)-Therapie von Patienten mit neovaskulärer altersbedingter Makuladegeneration zu treffen. Ziel der Implementierung ist die Optimierung der Patientensicherheit, die Erhaltung der Sehleistung und gleichzeitig die Behandlungslast für das Gesundheitssystem und die Patienten zu verringern.
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- 2022
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37. Restricted- and over-feeding during gestation decreases growth of offspring throughout maturity
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N M Tillquist, S A Reed, M Y Kawaida, A S Reiter, B I Smith, H Jang, J-Y Lee, E C Lee, S A Zinn, and K E Govoni
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General Veterinary ,Animal Science and Zoology - Abstract
To determine the effects of poor maternal nutrition on the growth and metabolism of offspring into maturity, multiparous Dorset ewes pregnant with twins (n = 46) were fed to either 100% (control; n = 13), 60% (restricted; n = 17), or 140% (over; n = 16) of National Research Council requirements from d 30 ± 0.02 of gestation until parturition. Offspring of these ewes are referred to as CON (n=10 ewes; 12 rams), RES (n=13 ewes; 21 rams), or OVER (n =16 ewes; 13 rams), respectively. Lamb body weights (BW) and blood samples were collected weekly from birth (d 0) to d 28 and then every 14 d until d 252. Intravenous glucose tolerance test (infusion of 0.25 g dextrose/kg BW) was performed at d 133 ± 0.25. At d 167 ± 1.42, individual daily intake was recorded over a 77 d feeding period to determine residual feed intake (RFI). Rams were euthanized at d 282 ± 1.82 and body morphometrics, loin eye area (LEA), back fat thickness, and organ weights were collected. The right leg was collected from rams at necropsy and dual-energy x-ray absorptiometry was used to determine bone mineral density (BMD) and length. Averaged from d 0 until d 252, RES and OVER offspring weighed 10.8% and 6.8% less than CON offspring, respectively (P ≤ 0.02). When adjusted for BW, liver and testes weights tended to be increased and decreased, respectively, in RES rams compared with CON rams (P ≤ 0.08). Additionally, RES BMD and bone length were less than CON rams (P ≤ 0.06). Treatment did not influence muscle mass, LEA, or adipose deposition (P ≥ 0.41). Rams (-0.17) were more feed efficient than ewes (0.23; P < 0.01); however, no effect of maternal diet was observed (P ≥ 0.57). At 2 min post glucose infusion, glucose concentrations in OVER offspring were greater than CON and RES offspring (P = 0.04). Concentrations of insulin in CON rams tended to be greater than OVER and RES ewes at 5 min (P ≤ 0.07). No differences were detected in insulin:glucose or area under the curve (AUC) for glucose or insulin (P ≤ 0.29). Maternal diet did not impact offspring triglycerides or cholesterol (P ≤ 0.35). Pre-weaning leptin tended to be 70% greater in OVER offspring than CON (P ≤ 0.07). These data indicate that poor maternal nutrition impairs offspring growth throughout maturity but does not affect RFI. Changes in metabolic factors and glucose tolerance are minimal, highlighting the need to investigate other mechanisms that may contribute to negative impacts of poor maternal diet.
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- 2023
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38. An evaluation of nitrogen indicators for soil health in long‐term agricultural experiments
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Daniel Liptzin, Elizabeth L. Rieke, Shannon B. Cappellazzi, G. Mac Bean, Michael Cope, Kelsey L. H. Greub, Charlotte E. Norris, Paul W. Tracy, Ezra Aberle, Amanda Ashworth, Oscar Bañuelos Tavarez, Andy I. Bary, R. L. Baumhardt, Alberto Borbón Gracia, Daniel C. Brainard, Jameson R. Brennan, Dolores Briones Reyes, Darren Bruhjell, Cameron N. Carlyle, James J. W. Crawford, Cody F. Creech, Steve W. Culman, Bill Deen, Curtis J. Dell, Justin D. Derner, Thomas F. Ducey, Sjoerd W. Duiker, Robert S. Dungan, Miles F. Dyck, Benjamin H. Ellert, Martin H. Entz, Avelino Espinosa Solorio, Steven J. Fonte, Simon Fonteyne, Ann‐Marie Fortuna, Jamie L. Foster, Lisa M. Fultz, Audrey V. Gamble, Charles M. Geddes, Deirdre Griffin‐LaHue, John H. Grove, Stephen K. Hamilton, Xiying Hao, Zachary D. Hayden, Nora Honsdorf, Julie A. Howe, James A. Ippolito, Gregg A. Johnson, Mark A. Kautz, Newell R. Kitchen, Sandeep Kumar, Kirsten S. M. Kurtz, Francis J. Larney, Katie L. Lewis, Matt Liebman, Antonio Lopez Ramirez, Stephen Machado, Bijesh Maharjan, Miguel Angel Martinez Gamiño, William E. May, Mitchel P. McClaran, Marshall D. McDaniel, Neville Millar, Jeffrey P. Mitchell, Amber D. Moore, Philip A. Moore, Manuel Mora Gutiérrez, Kelly A. Nelson, Emmanuel C. Omondi, Shannon L. Osborne, Leodegario Osorio Alcalá, Phillip Owens, Eugenia M. Pena‐Yewtukhiw, Hanna J. Poffenbarger, Brenda Ponce Lira, Jennifer R. Reeve, Timothy M. Reinbott, Mark S. Reiter, Edwin L. Ritchey, Kraig L. Roozeboom, Yichao Rui, Amir Sadeghpour, Upendra M. Sainju, Gregg R. Sanford, William F. Schillinger, Robert R. Schindelbeck, Meagan E. Schipanski, Alan J. Schlegel, Kate M. Scow, Lucretia A. Sherrod, Amy L Shober, Sudeep S. Sidhu, Ernesto Solís Moya, Mervin St. Luce, Jeffrey S. Strock, Andrew E. Suyker, Virginia R. Sykes, Haiying Tao, Alberto Trujillo Campos, Laura L. Van Eerd, Harold M van Es, Nele Verhulst, Tony J. Vyn, Yutao Wang, Dexter B. Watts, David L. Wright, Tiequan Zhang, Cristine L. S. Morgan, and C. Wayne Honeycutt
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Soil Science - Published
- 2023
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39. Point-to-point associations of drusen and hyperreflective foci volumes with retinal sensitivity in non-exudative age-related macular degeneration
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Gregor S. Reiter, Hrvoje Bogunovic, Ferdinand Schlanitz, Wolf-Dieter Vogl, Philipp Seeböck, Dariga Ramazanova, and Ursula Schmidt-Erfurth
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Ophthalmology - Abstract
Objectives To evaluate the quantitative impact of drusen and hyperreflective foci (HRF) volumes on mesopic retinal sensitivity in non-exudative age-related macular degeneration (AMD). Methods In a standardized follow-up scheme of every three months, retinal sensitivity of patients with early or intermediate AMD was assessed by microperimetry using a custom pattern of 45 stimuli (Nidek MP-3, Gamagori, Japan). Eyes were consecutively scanned using Spectralis SD-OCT (20° × 20°, 1024 × 97 × 496). Fundus photographs obtained by the MP-3 allowed to map the stimuli locations onto the corresponding OCT scans. The volume and mean thickness of drusen and HRF within a circle of 240 µm centred at each stimulus point was determined using automated AI-based image segmentation algorithms. Results 8055 individual stimuli from 179 visits from 51 eyes of 35 consecutive patients were matched with the respective OCT images in a point-to-point manner. The patients mean age was 76.85 ± 6.6 years. Mean retinal sensitivity at baseline was 25.7 dB. 73.47% of all MP-spots covered drusen area and 2.02% of MP-spots covered HRF. A negative association between retinal sensitivity and the volume of underlying drusen (p 3) and HRF volume (p = 0.002, Estimate -5.230 db/µm3) was found. During observation time, no eye showed conversion to advanced AMD. Conclusion A direct correlation between drusen and lower sensitivity of the overlying photoreceptors can be observed. For HRF, a small but significant correlation was shown, which is compromised by their small size. Biomarker quantification using AI-methods allows to determine the impact of sub-clinical features in the progression of AMD.
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- 2023
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40. Deep survival modeling of longitudinal retinal OCT volumes for predicting the onset of atrophy in patients with intermediate AMD
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Antoine Rivail, Wolf-Dieter Vogl, Sophie Riedl, Christoph Grechenig, Leonard M. Coulibaly, Gregor S. Reiter, Robyn H. Guymer, Zhichao Wu, Ursula Schmidt-Erfurth, and Hrvoje Bogunović
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Atomic and Molecular Physics, and Optics ,Article ,Biotechnology - Abstract
In patients with age-related macular degeneration (AMD), the risk of progression to late stages is highly heterogeneous, and the prognostic imaging biomarkers remain unclear. We propose a deep survival model to predict the progression towards the late atrophic stage of AMD. The model combines the advantages of survival modelling, accounting for time-to-event and censoring, and the advantages of deep learning, generating prediction from raw 3D OCT scans, without the need for extracting a predefined set of quantitative biomarkers. We demonstrate, in an extensive set of evaluations, based on two large longitudinal datasets with 231 eyes from 121 patients for internal evaluation, and 280 eyes from 140 patients for the external evaluation, that this model improves the risk estimation performance over standard deep learning classification models.
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- 2023
41. Reply
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Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sophie Riedl, Julia Mai, Gregor S. Reiter, Dmitrii Lachinov, and Hrvoje Bogunovic
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Ophthalmology - Published
- 2023
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42. Progression dynamics of early versus later-stage atrophic lesions in non-neovascular AMD using quantitative OCT biomarker segmentation
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Leonard M. Coulibaly, Gregor S. Reiter, Philipp Fuchs, Dmitrii Lachinov, Oliver Leingang, Wolf-Dieter Vogl, Hrvoje Bogunovic, and Ursula Schmidt-Erfurth
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Ophthalmology - Published
- 2023
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43. Agricultural Practices Influence Salmonella Contamination and Survival in Pre-harvest Tomato Production
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Ganyu Gu, Laura K. Strawn, David O. Oryang, Jie Zheng, Elizabeth A. Reed, Andrea R. Ottesen, Rebecca L. Bell, Yuhuan Chen, Steven Duret, David T. Ingram, Mark S. Reiter, Rachel Pfuntner, Eric W. Brown, and Steven L. Rideout
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Salmonella ,tomato fields ,irrigation ,poultry litter ,agricultural practices ,Microbiology ,QR1-502 - Abstract
Between 2000 and 2010 the Eastern Shore of Virginia was implicated in four Salmonella outbreaks associated with tomato. Therefore, a multi-year study (2012–2015) was performed to investigate presumptive factors associated with the contamination of Salmonella within tomato fields at Virginia Tech’s Eastern Shore Agricultural Research and Extension Center. Factors including irrigation water sources (pond and well), type of soil amendment: fresh poultry litter (PL), PL ash, and a conventional fertilizer (triple superphosphate – TSP), and production practices: staked with plastic mulch (SP), staked without plastic mulch (SW), and non-staked without plastic mulch (NW), were evaluated by split-plot or complete-block design. All field experiments relied on naturally occurring Salmonella contamination, except one follow up experiment (worst-case scenario) which examined the potential for contamination in tomato fruits when Salmonella was applied through drip irrigation. Samples were collected from pond and well water; PL, PL ash, and TSP; and the rhizosphere, leaves, and fruits of tomato plants. Salmonella was quantified using a most probable number method and contamination ratios were calculated for each treatment. Salmonella serovar was determined by molecular serotyping. Salmonella populations varied significantly by year; however, similar trends were evident each year. Findings showed use of untreated pond water and raw PL amendment increased the likelihood of Salmonella detection in tomato plots. Salmonella Newport and Typhimurium were the most frequently detected serovars in pond water and PL amendment samples, respectively. Interestingly, while these factors increased the likelihood of Salmonella detection in tomato plots (rhizosphere and leaves), all tomato fruits sampled (n = 4800) from these plots were Salmonella negative. Contamination of tomato fruits was extremely low (< 1%) even when tomato plots were artificially inoculated with an attenuated Salmonella Newport strain (104 CFU/mL). Furthermore, Salmonella was not detected in tomato plots irrigated using well water and amended with PL ash or TSP. Production practices also influenced the likelihood of Salmonella detection in tomato plots. Salmonella detection was higher in tomato leaf samples for NW plots, compared to SP and SW plots. This study provides evidence that attention to agricultural inputs and production practices may help reduce the likelihood of Salmonella contamination in tomato fields.
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- 2018
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44. Estimation, analysis and comparison of carbon emissions and construction cost of the two tallest buildings located in United States and China
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M. K. Nematchoua, S. Asadi, and S. Reiter
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Environmental Engineering ,Environmental Chemistry ,General Agricultural and Biological Sciences - Published
- 2022
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45. Not In My Neighborhood: The 1939 Controversy over Segregated Housing in Salt Lake City
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Tonya S. Reiter
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- 2022
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46. Tales from Ginderup Mound in Thisted County, Denmark:Further Investigations of Female Mobility in the Nordic Bronze Age
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Samantha S. Reiter, Niels Algreen Møller, Marie Louise Schjellerup Jørkov, Jens-Henrik Bech, Robert Frei, and Karin M. Frei
- Abstract
The preservation of organic and human remains in Early Nordic Bronze Age mounds (1700 BCE -1100 BCE) permits new provenance work on this important period. Studies have shown that different mobility/non-mobility patterns were exercised by elite women during this time. To extend the database, we conducted strontium isotope analyses of the enamel from the second and third molars from the elite female grave from Ginderup in Thisted County, Denmark. Among other items, this grave included the textile remains of a possible corded skirt or fringed blanket. We complemented analyses of this woman’s enamel with strontium isotope analyses of the first molar from Grave B as well as osteological analysis of the individuals from Early Nordic Bronze Age Graves A, B and C. Our results revealed that the strontium isotope ratios obtained from the woman wearing a possible corded skirt yielded one local ratio (M2) and one non-local ratio (M3). The results from Grave B yielded a ratio which falls within the local baseline of present-day Denmark. Our results suggest that the Ginderup Woman was probably of local origin, but that she also was repeatedly mobile during her life. These data are further evidence for the Nordic Bronze Age’s complex socio-dynamics.
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- 2023
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47. {Measurement of the \ensuremath{\Lambda}c+ Lifetime}
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F. Abudinén, L. Aggarwal, H. Ahmed, J. K. Ahn, H. Aihara, N. Akopov, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, T. Aushev, V. Aushev, V. Babu, H. Bae, P. Bambade, Sw. Banerjee, S. Bansal, J. Baudot, M. Bauer, A. Baur, A. Beaubien, J. Becker, J. V. Bennett, E. Bernieri, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, V. Bhardwaj, F. Bianchi, T. Bilka, D. Biswas, D. Bodrov, A. Bolz, G. Bonvicini, A. Bozek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, M. -C. Chang, P. Chang, R. Cheaib, P. Cheema, C. Chen, Y. Q. Chen, Y. -T. Chen, B. G. Cheon, K. Chilikin, K. Chirapatpimol, H. -E. Cho, K. Cho, S. -J. Cho, S. -K. Choi, S. Choudhury, D. Cinabro, L. Corona, L. M. Cremaldi, S. Cunliffe, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, A. De Yta-Hernandez, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, K. Dort, D. Dossett, S. Dreyer, G. Dujany, M. Eliachevitch, D. Epifanov, P. Feichtinger, T. Ferber, D. Ferlewicz, T. Fillinger, G. Finocchiaro, K. Flood, A. Fodor, F. Forti, A. Frey, B. G. Fulsom, A. Gabrielli, E. Ganiev, M. Garcia-Hernandez, A. Gaz, A. Gellrich, G. Ghevondyan, R. Giordano, A. Giri, A. Glazov, B. Gobbo, R. Godang, P. Goldenzweig, W. Gradl, S. Granderath, D. Greenwald, T. Gu, Y. Guan, K. Gudkova, J. Guilliams, S. Halder, K. Hara, O. Hartbrich, K. Hayasaka, H. Hayashii, S. Hazra, C. Hearty, I. Heredia de la Cruz, M. Hernández Villanueva, A. Hershenhorn, T. Higuchi, M. Hohmann, T. Humair, T. Iijima, K. Inami, G. Inguglia, N. Ipsita, A. Ishikawa, S. Ito, R. Itoh, M. Iwasaki, Y. Iwasaki, P. Jackson, W. W. Jacobs, D. E. Jaffe, Q. P. Ji, Y. Jin, H. Junkerkalefeld, M. Kaleta, J. Kandra, K. H. Kang, R. Karl, G. Karyan, C. Kiesling, C. -H. Kim, D. Y. Kim, K. -H. Kim, Y. -K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, T. Kuhr, J. Kumar, R. Kumar, K. Kumara, T. Kunigo, Y. -J. Kwon, S. Lacaprara, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, R. Leboucher, S. C. Lee, P. Leitl, D. Levit, L. K. Li, S. X. Li, Y. B. Li, J. Libby, Z. Liptak, Q. Y. Liu, D. Liventsev, S. Longo, T. Lueck, C. Lyu, M. Maggiora, R. Maiti, S. Maity, R. Manfredi, E. Manoni, S. Marcello, C. Marinas, L. Martel, A. Martini, L. Massaccesi, M. Masuda, K. Matsuoka, D. Matvienko, J. A. McKenna, F. Meier, M. Merola, M. Milesi, C. Miller, K. Miyabayashi, G. B. Mohanty, N. Molina-Gonzalez, S. Moneta, H. Moon, H. -G. Moser, M. Mrvar, R. Mussa, I. Nakamura, M. Nakao, H. Nakayama, A. Narimani Charan, M. Naruki, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, G. Nazaryan, C. Niebuhr, N. K. Nisar, S. Nishida, K. Nishimura, H. Ono, P. Oskin, E. R. Oxford, G. Pakhlova, A. Paladino, A. Panta, E. Paoloni, S. Pardi, K. Parham, H. Park, S. -H. Park, A. Passeri, T. K. Pedlar, I. Peruzzi, R. Peschke, R. Pestotnik, F. Pham, L. E. Piilonen, G. Pinna Angioni, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, L. Polat, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, N. Rad, P. Rados, S. Raiz, M. Reif, S. Reiter, I. Ripp-Baudot, G. Rizzo, S. H. Robertson, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, D. A. Sanders, S. Sandilya, A. Sangal, L. Santelj, Y. Sato, V. Savinov, B. Scavino, C. Schwanda, A. J. Schwartz, Y. Seino, A. Selce, K. Senyo, J. Serrano, C. Sfienti, C. P. Shen, T. Shillington, J. -G. Shiu, A. Sibidanov, F. Simon, R. J. Sobie, A. Soffer, A. Sokolov, E. Solovieva, S. Spataro, B. Spruck, M. Starič, S. Stefkova, R. Stroili, J. Strube, M. Sumihama, K. Sumisawa, W. Sutcliffe, S. Y. Suzuki, H. Svidras, M. Takahashi, M. Takizawa, U. Tamponi, S. Tanaka, K. Tanida, H. Tanigawa, N. Taniguchi, F. Tenchini, R. Tiwary, D. Tonelli, E. Torassa, N. Toutounji, K. Trabelsi, M. Uchida, K. Unger, Y. Unno, K. Uno, S. Uno, P. Urquijo, Y. Ushiroda, S. E. Vahsen, R. van Tonder, G. S. Varner, K. E. Varvell, A. Vinokurova, L. Vitale, V. Vobbilisetti, E. Waheed, H. M. Wakeling, E. Wang, M. -Z. Wang, X. L. Wang, A. Warburton, S. Watanuki, M. Welsch, C. Wessel, J. Wiechczynski, H. Windel, E. Won, X. P. Xu, B. D. Yabsley, S. Yamada, S. B. Yang, H. Ye, J. Yelton, J. H. Yin, K. Yoshihara, Y. Yusa, Y. Zhang, V. Zhilich, Q. D. Zhou, V. I. Zhukova, and R. Žlebčík, Abudinén, F., Aggarwal, L., Ahmed, H., Ahn, J. K., Aihara, H., Akopov, N., Aloisio, A., Anh Ky, N., Asner, D. M., Atmacan, H., Aushev, T., Aushev, V., Babu, V., Bae, H., Bambade, P., Banerjee, Sw., Bansal, S., Baudot, J., Bauer, M., Baur, A., Beaubien, A., Becker, J., Bennett, J. V., Bernieri, E., Bernlochner, F. U., Bertacchi, V., Bertemes, M., Bertholet, E., Bessner, M., Bettarini, S., Bhardwaj, V., Bianchi, F., Bilka, T., Biswas, D., Bodrov, D., Bolz, A., Bonvicini, G., Bozek, A., Bračko, M., Branchini, P., Briere, R. A., Browder, T. E., Budano, A., Bussino, S., Campajola, M., Cao, L., Casarosa, G., Cecchi, C., Chang, M. -C., Chang, P., Cheaib, R., Cheema, P., Chen, C., Chen, Y. Q., Chen, Y. -T., Cheon, B. G., Chilikin, K., Chirapatpimol, K., Cho, H. -E., Cho, K., Cho, S. -J., Choi, S. -K., Choudhury, S., Cinabro, D., Corona, L., Cremaldi, L. M., Cunliffe, S., Dattola, F., De La Cruz-Burelo, E., De La Motte, S. A., De Nardo, G., De Nuccio, M., De Pietro, G., de Sangro, R., Destefanis, M., De Yta-Hernandez, A., Dhamija, R., Di Canto, A., Di Capua, F., Dingfelder, J., Doležal, Z., Domínguez Jiménez, I., Dong, T. V., Dorigo, M., Dort, K., Dossett, D., Dreyer, S., Dujany, G., Eliachevitch, M., Epifanov, D., Feichtinger, P., Ferber, T., Ferlewicz, D., Fillinger, T., Finocchiaro, G., Flood, K., Fodor, A., Forti, F., Frey, A., Fulsom, B. G., Gabrielli, A., Ganiev, E., Garcia-Hernandez, M., Gaz, A., Gellrich, A., Ghevondyan, G., Giordano, R., Giri, A., Glazov, A., Gobbo, B., Godang, R., Goldenzweig, P., Gradl, W., Granderath, S., Greenwald, D., Gu, T., Guan, Y., Gudkova, K., Guilliams, J., Halder, S., Hara, K., Hartbrich, O., Hayasaka, K., Hayashii, H., Hazra, S., Hearty, C., Heredia de la Cruz, I., Hernández Villanueva, M., Hershenhorn, A., Higuchi, T., Hohmann, M., Humair, T., Iijima, T., Inami, K., Inguglia, G., Ipsita, N., Ishikawa, A., Ito, S., Itoh, R., Iwasaki, M., Iwasaki, Y., Jackson, P., Jacobs, W. W., Jaffe, D. E., Ji, Q. P., Jin, Y., Junkerkalefeld, H., Kaleta, M., Kandra, J., Kang, K. H., Karl, R., Karyan, G., Kiesling, C., Kim, C. -H., Kim, D. Y., Kim, K. -H., Kim, Y. -K., Kindo, H., Kinoshita, K., Kodyš, P., Koga, T., Kohani, S., Kojima, K., Korobov, A., Korpar, S., Kovalenko, E., Kowalewski, R., Kraetzschmar, T. M. G., Križan, P., Krokovny, P., Kuhr, T., Kumar, J., Kumar, R., Kumara, K., Kunigo, T., Kwon, Y. -J., Lacaprara, S., Lam, T., Lanceri, L., Lange, J. S., Laurenza, M., Leboucher, R., Lee, S. C., Leitl, P., Levit, D., Li, L. K., Li, S. X., Li, Y. B., Libby, J., Liptak, Z., Liu, Q. Y., Liventsev, D., Longo, S., Lueck, T., Lyu, C., Maggiora, M., Maiti, R., Maity, S., Manfredi, R., Manoni, E., Marcello, S., Marinas, C., Martel, L., Martini, A., Massaccesi, L., Masuda, M., Matsuoka, K., Matvienko, D., Mckenna, J. A., Meier, F., Merola, M., Milesi, M., Miller, C., Miyabayashi, K., Mohanty, G. B., Molina-Gonzalez, N., Moneta, S., Moon, H., Moser, H. -G., Mrvar, M., Mussa, R., Nakamura, I., Nakao, M., Nakayama, H., Narimani Charan, A., Naruki, M., Natkaniec, Z., Natochii, A., Nayak, L., Nayak, M., Nazaryan, G., Niebuhr, C., Nisar, N. K., Nishida, S., Nishimura, K., Ono, H., Oskin, P., Oxford, E. R., Pakhlova, G., Paladino, A., Panta, A., Paoloni, E., Pardi, S., Parham, K., Park, H., Park, S. -H., Passeri, A., Pedlar, T. K., Peruzzi, I., Peschke, R., Pestotnik, R., Pham, F., Piilonen, L. E., Pinna Angioni, G., Podesta-Lerma, P. L. M., Podobnik, T., Pokharel, S., Polat, L., Praz, C., Prell, S., Prencipe, E., Prim, M. T., Purwar, H., Rad, N., Rados, P., Raiz, S., Reif, M., Reiter, S., Ripp-Baudot, I., Rizzo, G., Robertson, S. H., Roney, J. M., Rostomyan, A., Rout, N., Russo, G., Sanders, D. A., Sandilya, S., Sangal, A., Santelj, L., Sato, Y., Savinov, V., Scavino, B., Schwanda, C., Schwartz, A. J., Seino, Y., Selce, A., Senyo, K., Serrano, J., Sfienti, C., Shen, C. P., Shillington, T., Shiu, J. -G., Sibidanov, A., Simon, F., Sobie, R. J., Soffer, A., Sokolov, A., Solovieva, E., Spataro, S., Spruck, B., Starič, M., Stefkova, S., Stroili, R., Strube, J., Sumihama, M., Sumisawa, K., Sutcliffe, W., Suzuki, S. Y., Svidras, H., Takahashi, M., Takizawa, M., Tamponi, U., Tanaka, S., Tanida, K., Tanigawa, H., Taniguchi, N., Tenchini, F., Tiwary, R., Tonelli, D., Torassa, E., Toutounji, N., Trabelsi, K., Uchida, M., Unger, K., Unno, Y., Uno, K., Uno, S., Urquijo, P., Ushiroda, Y., Vahsen, S. E., van Tonder, R., Varner, G. S., Varvell, K. E., Vinokurova, A., Vitale, L., Vobbilisetti, V., Waheed, E., Wakeling, H. M., Wang, E., Wang, M. -Z., Wang, X. L., Warburton, A., Watanuki, S., Welsch, M., Wessel, C., Wiechczynski, J., Windel, H., Won, E., Xu, X. P., Yabsley, B. D., Yamada, S., Yang, S. B., Ye, H., Yelton, J., Yin, J. H., Yoshihara, K., Yusa, Y., Zhang, Y., Zhilich, V., Zhou, Q. D., Zhukova, V. I., and Žlebčík, and R.
- Abstract
An absolute measurement of the Λ_{c}^{+} lifetime is reported using Λ_{c}^{+}→pK^{-}π^{+} decays in events reconstructed from data collected by the Belle II experiment at the SuperKEKB asymmetric-energy electron-positron collider. The total integrated luminosity of the data sample, which was collected at center-of-mass energies at or near the ϒ(4S) resonance, is 207.2 fb^{-1}. The result, τ(Λ_{c}^{+})=203.20±0.89±0.77 fs, where the first uncertainty is statistical and the second systematic, is the most precise measurement to date and is consistent with previous determinations.
- Published
- 2023
48. {Measurement of the \ensuremath{\Omega}c0 lifetime at Belle II}
- Author
-
F. Abudinén, I. Adachi, L. Aggarwal, H. Ahmed, H. Aihara, N. Akopov, A. Aloisio, N. Anh Ky, D. M. Asner, T. Aushev, V. Aushev, H. Bae, P. Bambade, Sw. Banerjee, J. Baudot, M. Bauer, A. Beaubien, J. Becker, P. K. Behera, J. V. Bennett, E. Bernieri, F. U. Bernlochner, V. Bertacchi, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, B. Bhuyan, F. Bianchi, T. Bilka, D. Biswas, D. Bodrov, A. Bolz, J. Borah, A. Bozek, M. Bračko, P. Branchini, R. A. Briere, T. E. Browder, A. Budano, S. Bussino, M. Campajola, L. Cao, G. Casarosa, C. Cecchi, M. -C. Chang, P. Cheema, V. Chekelian, Y. Q. Chen, K. Chilikin, K. Chirapatpimol, H. -E. Cho, K. Cho, S. -J. Cho, S. -K. Choi, S. Choudhury, D. Cinabro, L. Corona, S. Cunliffe, S. Das, F. Dattola, E. De La Cruz-Burelo, S. A. De La Motte, G. de Marino, G. De Nardo, M. De Nuccio, G. De Pietro, R. de Sangro, M. Destefanis, S. Dey, A. De Yta-Hernandez, R. Dhamija, A. Di Canto, F. Di Capua, J. Dingfelder, Z. Doležal, I. Domínguez Jiménez, T. V. Dong, M. Dorigo, K. Dort, S. Dreyer, S. Dubey, G. Dujany, P. Ecker, M. Eliachevitch, D. Epifanov, P. Feichtinger, T. Ferber, D. Ferlewicz, T. Fillinger, G. Finocchiaro, A. Fodor, F. Forti, B. G. Fulsom, E. Ganiev, V. Gaur, A. Gaz, A. Gellrich, G. Ghevondyan, R. Giordano, A. Giri, A. Glazov, B. Gobbo, R. Godang, P. Goldenzweig, W. Gradl, S. Granderath, E. Graziani, D. Greenwald, T. Gu, Y. Guan, K. Gudkova, J. Guilliams, K. Hayasaka, H. Hayashii, S. Hazra, C. Hearty, I. Heredia de la Cruz, M. Hernández Villanueva, A. Hershenhorn, T. Higuchi, E. C. Hill, H. Hirata, M. Hohmann, C. -L. Hsu, T. Iijima, K. Inami, G. Inguglia, N. Ipsita, A. Ishikawa, S. Ito, R. Itoh, M. Iwasaki, P. Jackson, W. W. Jacobs, D. E. Jaffe, E. -J. Jang, S. Jia, Y. Jin, K. K. Joo, H. Junkerkalefeld, A. B. Kaliyar, K. H. Kang, R. Karl, G. Karyan, C. Kiesling, C. -H. Kim, D. Y. Kim, K. -H. Kim, Y. -K. Kim, H. Kindo, K. Kinoshita, P. Kodyš, T. Koga, S. Kohani, K. Kojima, T. Konno, A. Korobov, S. Korpar, E. Kovalenko, R. Kowalewski, T. M. G. Kraetzschmar, P. Križan, P. Krokovny, J. Kumar, K. Kumara, T. Kunigo, A. Kuzmin, Y. -J. Kwon, S. Lacaprara, T. Lam, L. Lanceri, J. S. Lange, M. Laurenza, K. Lautenbach, R. Leboucher, C. Li, L. K. Li, J. Libby, K. Lieret, Z. Liptak, Q. Y. Liu, D. Liventsev, S. Longo, A. Lozar, T. Lueck, C. Lyu, M. Maggiora, R. Maiti, R. Manfredi, E. Manoni, S. Marcello, C. Marinas, A. Martini, T. Martinov, L. Massaccesi, M. Masuda, S. K. Maurya, J. A. McKenna, F. Meier, M. Merola, F. Metzner, M. Milesi, C. Miller, K. Miyabayashi, R. Mizuk, G. B. Mohanty, N. Molina-Gonzalez, S. Moneta, H. -G. Moser, M. Mrvar, R. Mussa, I. Nakamura, M. Nakao, H. Nakayama, Y. Nakazawa, A. Narimani Charan, M. Naruki, Z. Natkaniec, A. Natochii, L. Nayak, M. Nayak, G. Nazaryan, N. K. Nisar, S. Ogawa, H. Ono, Y. Onuki, E. R. Oxford, A. Paladino, A. Panta, E. Paoloni, S. Pardi, H. Park, S. -H. Park, A. Passeri, S. Paul, T. K. Pedlar, I. Peruzzi, R. Peschke, R. Pestotnik, M. Piccolo, L. E. Piilonen, P. L. M. Podesta-Lerma, T. Podobnik, S. Pokharel, L. Polat, C. Praz, S. Prell, E. Prencipe, M. T. Prim, H. Purwar, N. Rad, P. Rados, S. Raiz, A. Ramirez Morales, M. Reif, S. Reiter, M. Remnev, I. Ripp-Baudot, G. Rizzo, S. H. Robertson, J. M. Roney, A. Rostomyan, N. Rout, G. Russo, D. A. Sanders, S. Sandilya, A. Sangal, Y. Sato, V. Savinov, B. Scavino, J. Schueler, C. Schwanda, A. J. Schwartz, B. Schwenker, Y. Seino, A. Selce, K. Senyo, J. Serrano, M. E. Sevior, C. Sfienti, C. P. Shen, X. D. Shi, T. Shillington, A. Sibidanov, J. B. Singh, J. Skorupa, R. J. Sobie, A. Soffer, E. Solovieva, S. Spataro, B. Spruck, M. Starič, S. Stefkova, Z. S. Stottler, R. Stroili, J. Strube, M. Sumihama, K. Sumisawa, W. Sutcliffe, S. Y. Suzuki, H. Svidras, M. Takizawa, U. Tamponi, K. Tanida, H. Tanigawa, F. Tenchini, A. Thaller, R. Tiwary, D. Tonelli, E. Torassa, N. Toutounji, K. Trabelsi, M. Uchida, I. Ueda, Y. Uematsu, T. Uglov, K. Unger, Y. Unno, K. Uno, S. Uno, Y. Ushiroda, S. E. Vahsen, R. van Tonder, G. S. Varner, K. E. Varvell, A. Vinokurova, L. Vitale, V. Vobbilisetti, H. M. Wakeling, E. Wang, M. -Z. Wang, X. L. Wang, A. Warburton, M. Watanabe, S. Watanuki, M. Welsch, C. Wessel, E. Won, B. D. Yabsley, S. Yamada, W. Yan, S. B. Yang, H. Ye, J. Yelton, J. H. Yin, Y. M. Yook, K. Yoshihara, C. Z. Yuan, L. Zani, Y. Zhang, V. Zhilich, Q. D. Zhou, X. Y. Zhou, V. I. Zhukova, and R. Žlebčík, Abudinén, F., Adachi, I., Aggarwal, L., Ahmed, H., Aihara, H., Akopov, N., Aloisio, A., Anh Ky, N., Asner, D. M., Aushev, T., Aushev, V., Bae, H., Bambade, P., Banerjee, Sw., Baudot, J., Bauer, M., Beaubien, A., Becker, J., Behera, P. K., Bennett, J. V., Bernieri, E., Bernlochner, F. U., Bertacchi, V., Bertemes, M., Bertholet, E., Bessner, M., Bettarini, S., Bhuyan, B., Bianchi, F., Bilka, T., Biswas, D., Bodrov, D., Bolz, A., Borah, J., Bozek, A., Bračko, M., Branchini, P., Briere, R. A., Browder, T. E., Budano, A., Bussino, S., Campajola, M., Cao, L., Casarosa, G., Cecchi, C., Chang, M. -C., Cheema, P., Chekelian, V., Chen, Y. Q., Chilikin, K., Chirapatpimol, K., Cho, H. -E., Cho, K., Cho, S. -J., Choi, S. -K., Choudhury, S., Cinabro, D., Corona, L., Cunliffe, S., Das, S., Dattola, F., De La Cruz-Burelo, E., De La Motte, S. A., de Marino, G., De Nardo, G., De Nuccio, M., De Pietro, G., de Sangro, R., Destefanis, M., Dey, S., De Yta-Hernandez, A., Dhamija, R., Di Canto, A., Di Capua, F., Dingfelder, J., Doležal, Z., Domínguez Jiménez, I., Dong, T. V., Dorigo, M., Dort, K., Dreyer, S., Dubey, S., Dujany, G., Ecker, P., Eliachevitch, M., Epifanov, D., Feichtinger, P., Ferber, T., Ferlewicz, D., Fillinger, T., Finocchiaro, G., Fodor, A., Forti, F., Fulsom, B. G., Ganiev, E., Gaur, V., Gaz, A., Gellrich, A., Ghevondyan, G., Giordano, R., Giri, A., Glazov, A., Gobbo, B., Godang, R., Goldenzweig, P., Gradl, W., Granderath, S., Graziani, E., Greenwald, D., Gu, T., Guan, Y., Gudkova, K., Guilliams, J., Hayasaka, K., Hayashii, H., Hazra, S., Hearty, C., Heredia de la Cruz, I., Hernández Villanueva, M., Hershenhorn, A., Higuchi, T., Hill, E. C., Hirata, H., Hohmann, M., Hsu, C. -L., Iijima, T., Inami, K., Inguglia, G., Ipsita, N., Ishikawa, A., Ito, S., Itoh, R., Iwasaki, M., Jackson, P., Jacobs, W. W., Jaffe, D. E., Jang, E. -J., Jia, S., Jin, Y., Joo, K. K., Junkerkalefeld, H., Kaliyar, A. B., Kang, K. H., Karl, R., Karyan, G., Kiesling, C., Kim, C. -H., Kim, D. Y., Kim, K. -H., Kim, Y. -K., Kindo, H., Kinoshita, K., Kodyš, P., Koga, T., Kohani, S., Kojima, K., Konno, T., Korobov, A., Korpar, S., Kovalenko, E., Kowalewski, R., Kraetzschmar, T. M. G., Križan, P., Krokovny, P., Kumar, J., Kumara, K., Kunigo, T., Kuzmin, A., Kwon, Y. -J., Lacaprara, S., Lam, T., Lanceri, L., Lange, J. S., Laurenza, M., Lautenbach, K., Leboucher, R., Li, C., Li, L. K., Libby, J., Lieret, K., Liptak, Z., Liu, Q. Y., Liventsev, D., Longo, S., Lozar, A., Lueck, T., Lyu, C., Maggiora, M., Maiti, R., Manfredi, R., Manoni, E., Marcello, S., Marinas, C., Martini, A., Martinov, T., Massaccesi, L., Masuda, M., Maurya, S. K., Mckenna, J. A., Meier, F., Merola, M., Metzner, F., Milesi, M., Miller, C., Miyabayashi, K., Mizuk, R., Mohanty, G. B., Molina-Gonzalez, N., Moneta, S., Moser, H. -G., Mrvar, M., Mussa, R., Nakamura, I., Nakao, M., Nakayama, H., Nakazawa, Y., Narimani Charan, A., Naruki, M., Natkaniec, Z., Natochii, A., Nayak, L., Nayak, M., Nazaryan, G., Nisar, N. K., Ogawa, S., Ono, H., Onuki, Y., Oxford, E. R., Paladino, A., Panta, A., Paoloni, E., Pardi, S., Park, H., Park, S. -H., Passeri, A., Paul, S., Pedlar, T. 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- Published
- 2023
49. La vérité dépasse-t-elle la fiction ?
- Author
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Samantha S. Reiter
- Subjects
Bronze Age ,identity ,gender ,foreigner ,Solovaquia ,Archaeology ,CC1-960 - Abstract
This text addresses the complex relationship between the local or exotic appearance, biological place of origin and the geographical provenience of Early Bronze Age inhumations from southwest Slovakia, specifically in terms of an overarching masculine/feminine dichotomy. To this end, this article compares and contrasts the results of human dental enamel strontium analyses (as well as faunal-based strontium local baselines) from the sites of Jelšovce, Vráble (Fidvár) and Rybnik nad Hronom. The former are then juxtaposed with the results of a recent study of the non-metric traits undertaken on the totality of the various Early Bronze Age cultures present at the cemetery of Jelšovce (Nitra, Aunjetitz and Mad'arovce).
- Published
- 2015
- Full Text
- View/download PDF
50. Agronomy Journal
- Author
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Keren Brooks, Spyridon Mourtzinis, Shawn P. Conley, Mark S. Reiter, John Gaska, David Lee Holshouser, Trent Irby, Jonathan Kleinjan, Carrie Knott, Chad Lee, Laura Lindsey, Seth Naeve, Jeremy Ross, Maninder Pal Singh, Rachel Vann, and Emma Matcham
- Subjects
Soybean yield ,Agronomy and Crop Science - Abstract
As soybean [Glycine max (L.) Merr.] yields reach record highs, more nutrients are required to maintain these production levels. This study was conducted to evaluate the effect of sulfur (S) and nitrogen (N) on soybean yield in diverse environments across the US. Data were collected from a total of 52 sites in ten states over two years (2019 and 2020) for this study. A factorial arrangement of three S rates (11, 22, and 33 kg S ha−1) utilizing two sources (ammonium sulfate and calcium sulfate) were broadcasted by hand at planting. Additionally, to examine the impact of N on soybean yield, urea was applied at 10, 20, and 29 kg N ha−1 to equal that supplied by ammonium sulfate. A zero-fertilizer control treatment was also included. Soil samples prior to fertilization as well as grain yield at R8 were collected and analyzed to understand what environmental conditions favor soybean response to S additions. Results indicated that soil and environmental factors are poor indicators of yield response to S and N additions. Yield responses to S and N additions were observed in yield environments averaging > 3,643 kg ha−1, but S did not limit yield in most environments (n = 49). Partial profit analysis was conducted at two soybean grain prices ($0.32 and $0.55 kg ha−1). Yield increases were only profitable at two site-years at the tested soybean grain prices. Overall results suggest that use of N and S fertilizers are rarely justified across diverse growing environments. Published version
- Published
- 2022
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