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1. Measurement of Electron Antineutrino Oscillation Amplitude and Frequency via Neutron Capture on Hydrogen at Daya Bay

Author: Daya Bay collaboration, An, F. P., Bai, W. D., Balantekin, A. B., Bishai, M., Blyth, S., Cao, G. F., Cao, J., Chang, J. F., Chang, Y., Chen, H. S., Chen, H. Y., Chen, S. M., Chen, Y., Chen, Y. X., Chen, Z. Y., Cheng, J., Cheng, Y. -C., Cheng, Z. K., Cherwinka, J. J., Chu, M. C., Cummings, J. P., Dalager, O., Deng, F. S., Ding, X. Y., Ding, Y. Y., Diwan, M. V., Dohnal, T., Dolzhikov, D., Dove, J., Duyang, H. Y., Dwyer, D. A., Gallo, J. P., Gonchar, M., Gong, G. H., Gong, H., Gu, W. Q., Guo, J. Y., Guo, L., Guo, X. H., Guo, Y. H., Guo, Z., Hackenburg, R. W., Han, Y., Hans, S., He, M., Heeger, K. M., Heng, Y. K., Hor, Y. K., Hsiung, Y. B., Hu, B. Z., Hu, J. R., Hu, T., Hu, Z. J., Huang, H. X., Huang, J. H., Huang, X. T., Huang, Y. B., Huber, P., Jaffe, D. E., Jen, K. L., Ji, X. L., Ji, X. P., Johnson, R. A., Jones, D., Kang, L., Kettell, S. H., Kohn, S., Kramer, M., Langford, T. J., Lee, J., Lee, J. H. C., Lei, R. T., Leitner, R., Leung, J. K. C., Li, F., Li, H. L., Li, J. J., Li, Q. J., Li, R. H., Li, S., Li, S. C., Li, W. D., Li, X. N., Li, X. Q., Li, Y. F., Li, Z. B., Liang, H., Lin, C. J., Lin, G. L., Lin, S., Ling, J. J., Link, J. M., Littenberg, L., Littlejohn, B. R., Liu, J. C., Liu, J. L., Liu, J. X., Lu, C., Lu, H. Q., Luk, K. B., Ma, B. Z., Ma, X. B., Ma, X. Y., Ma, Y. Q., Mandujano, R. C., Marshall, C., McDonald, K. T., McKeown, R. D., Meng, Y., Napolitano, J., Naumov, D., Naumova, E., Nguyen, T. M. T., Ochoa-Ricoux, J. P., Olshevskiy, A., Park, J., Patton, S., Peng, J. C., Pun, C. S. J., Qi, F. Z., Qi, M., Qian, X., Raper, N., Ren, J., Reveco, C. Morales, Rosero, R., Roskovec, B., Ruan, X. C., Russell, B., Steiner, H., Sun, J. L., Tmej, T., Treskov, K., Tse, W. -H., Tull, C. E., Tung, Y. C., Viren, B., Vorobel, V., Wang, C. H., Wang, J., Wang, M., Wang, N. Y., Wang, R. G., Wang, W., Wang, X., Wang, Y. F., Wang, Z., Wang, Z. M., Wei, H. Y., Wei, L. H., Wei, W., Wen, L. J., Whisnant, K., White, C. G., Wong, H. L. H., Worcester, E., Wu, D. R., Wu, Q., Wu, W. J., Xia, D. M., Xie, Z. Q., Xing, Z. Z., Xu, H. K., Xu, J. L., Xu, T., Xue, T., Yang, C. G., Yang, L., Yang, Y. Z., Yao, H. F., Ye, M., Yeh, M., Young, B. L., Yu, H. Z., Yu, Z. Y., Yue, B. B., Zavadskyi, V., Zeng, S., Zeng, Y., Zhan, L., Zhang, C., Zhang, F. Y., Zhang, H. H., Zhang, J. L., Zhang, J. W., Zhang, Q. M., Zhang, S. Q., Zhang, X. T., Zhang, Y. M., Zhang, Y. X., Zhang, Y. Y., Zhang, Z. J., Zhang, Z. P., Zhang, Z. Y., Zhao, J., Zhao, R. Z., Zhou, L., Zhuang, H. L., and Zou, J. H.
Subjects: High Energy Physics - Experiment
Abstract: This Letter reports the first measurement of the oscillation amplitude and frequency of reactor antineutrinos at Daya Bay via neutron capture on hydrogen using 1958 days of data. With over 3.6 million signal candidates, an optimized candidate selection, improved treatment of backgrounds and efficiencies, refined energy calibration, and an energy response model for the capture-on-hydrogen sensitive region, the relative $\overline{\nu}_{e}$ rates and energy spectra variation among the near and far detectors gives $\mathrm{sin}^22\theta_{13} = 0.0759_{-0.0049}^{+0.0050}$ and $\Delta m^2_{32} = (2.72^{+0.14}_{-0.15})\times10^{-3}$ eV$^2$ assuming the normal neutrino mass ordering, and $\Delta m^2_{32} = (-2.83^{+0.15}_{-0.14})\times10^{-3}$ eV$^2$ for the inverted neutrino mass ordering. This estimate of $\sin^2 2\theta_{13}$ is consistent with and essentially independent from the one obtained using the capture-on-gadolinium sample at Daya Bay. The combination of these two results yields $\mathrm{sin}^22\theta_{13}= 0.0833\pm0.0022$, which represents an 8% relative improvement in precision regarding the Daya Bay full 3158-day capture-on-gadolinium result.
Published: 2024
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2. Search for a sub-eV sterile neutrino using Daya Bay's full dataset

Author: An, F. P., Bai, W. D., Balantekin, A. B., Bishai, M., Blyth, S., Cao, G. F., Cao, J., Chang, J. F., Chang, Y., Chen, H. S., Chen, H. Y., Chen, S. M., Chen, Y., Chen, Y. X., Chen, Z. Y., Cheng, J., Cheng, Y. C., Cheng, Z. K., Cherwinka, J. J., Chu, M. C., Cummings, J. P., Dalager, O., Deng, F. S., Ding, X. Y., Ding, Y. Y., Diwan, M. V., Dohnal, T., Dolzhikov, D., Dove, J., Dugas, K. V., Duyang, H. Y., Dwyer, D. A., Gallo, J. P., Gonchar, M., Gong, G. H., Gong, H., Gu, W. Q., Guo, J. Y., Guo, L., Guo, X. H., Guo, Y. H., Guo, Z., Hackenburg, R. W., Han, Y., Hans, S., He, M., Heeger, K. M., Heng, Y. K., Hor, Y. K., Hsiung, Y. B., Hu, B. Z., Hu, J. R., Hu, T., Hu, Z. J., Huang, H. X., Huang, J. H., Huang, X. T., Huang, Y. B., Huber, P., Jaffe, D. E., Jen, K. L., Ji, X. L., Ji, X. P., Johnson, R. A., Jones, D., Kang, L., Kettell, S. H., Kohn, S., Kramer, M., Langford, T. J., Lee, J., Lee, J. H. C., Lei, R. T., Leitner, R., Leung, J. K. C., Li, F., Li, H. L., Li, J. J., Li, Q. J., Li, R. H., Li, S., Li, S. C., Li, W. D., Li, X. N., Li, X. Q., Li, Y. F., Li, Z. B., Liang, H., Lin, C. J., Lin, G. L., Lin, S., Ling, J. J., Link, J. M., Littenberg, L., Littlejohn, B. R., Liu, J. C., Liu, J. L., Liu, J. X., Lu, C., Lu, H. Q., Luk, K. B., Ma, B. Z., Ma, X. B., Ma, X. Y., Ma, Y. Q., Mandujano, R. C., Marshall, C., McDonald, K. T., McKeown, R. D., Meng, Y., Napolitano, J., Naumov, D., Naumova, E., Nguyen, T. M. T., Ochoa-Ricoux, J. P., Olshevskiy, A., Park, J., Patton, S., Peng, J. C., Pun, C. S. J., Qi, F. Z., Qi, M., Qian, X., Raper, N., Ren, J., Reveco, C. Morales, Rosero, R., Roskovec, B., Ruan, X. C., Russell, B., Steiner, H., Sun, J. L., Tmej, T., Tse, W. -H., Tull, C. E., Tung, Y. C., Viren, B., Vorobel, V., Wang, C. H., Wang, J., Wang, M., Wang, N. Y., Wang, R. G., Wang, W., Wang, X., Wang, Y. F., Wang, Z., Wang, Z. M., Wei, H. Y., Wei, L. H., Wei, W., Wen, L. J., Whisnant, K., White, C. G., Wong, H. L. H., Worcester, E., Wu, D. R., Wu, Q., Wu, W. J., Xia, D. M., Xie, Z. Q., Xing, Z. Z., Xu, H. K., Xu, J. L., Xu, T., Xue, T., Yang, C. G., Yang, L., Yang, Y. Z., Yao, H. F., Ye, M., Yeh, M., Young, B. L., Yu, H. Z., Yu, Z. Y., Yue, B. B., Zavadskyi, V., Zeng, S., Zeng, Y., Zhan, L., Zhang, C., Zhang, F. Y., Zhang, H. H., Zhang, J. L., Zhang, J. W., Zhang, Q. M., Zhang, S. Q., Zhang, X. T., Zhang, Y. M., Zhang, Y. X., Zhang, Y. Y., Zhang, Z. J., Zhang, Z. P., Zhang, Z. Y., Zhao, J., Zhao, R. Z., Zhou, L., Zhuang, H. L., and Zou, J. H.
Subjects: High Energy Physics - Experiment
Abstract: This Letter presents results of a search for the mixing of a sub-eV sterile neutrino with three active neutrinos based on the full data sample of the Daya Bay Reactor Neutrino Experiment, collected during 3158 days of detector operation, which contains $5.55 \times 10^{6}$ reactor \anue candidates identified as inverse beta-decay interactions followed by neutron-capture on gadolinium. The analysis benefits from a doubling of the statistics of our previous result and from improvements of several important systematic uncertainties. No significant oscillation due to mixing of a sub-eV sterile neutrino with active neutrinos was found. Exclusion limits are set by both Feldman-Cousins and CLs methods. Light sterile neutrino mixing with $\sin^2 2\theta_{14} \gtrsim 0.01$ can be excluded at 95\% confidence level in the region of $0.01$ eV$^2 \lesssim |\Delta m^{2}_{41}| \lesssim 0.1 $ eV$^2$. This result represents the world-leading constraints in the region of $2 \times 10^{-4}$ eV$^2 \lesssim |\Delta m^{2}_{41}| \lesssim 0.2 $ eV$^2$., Comment: 7 pages, 4 figures, 1 table
Published: 2024

3. First measurement of the yield of $^8$He isotopes produced in liquid scintillator by cosmic-ray muons at Daya Bay

Author: Daya Bay Collaboration, An, F. P., Bai, W. D., Balantekin, A. B., Bishai, M., Blyth, S., Cao, G. F., Cao, J., Chang, J. F., Chang, Y., Chen, H. S., Chen, H. Y., Chen, S. M., Chen, Y., Chen, Y. X., Chen, Z. Y., Cheng, J., Cheng, Y. C., Cheng, Z. K., Cherwinka, J. J., Chu, M. C., Cummings, J. P., Dalager, O., Deng, F. S., Ding, X. Y., Ding, Y. Y., Diwan, M. V., Dohnal, T., Dolzhikov, D., Dove, J., Dugas, K. V., Duyang, H. Y., Dwyer, D. A., Gallo, J. P., Gonchar, M., Gong, G. H., Gong, H., Gu, W. Q., Guo, J. Y., Guo, L., Guo, X. H., Guo, Y. H., Guo, Z., Hackenburg, R. W., Han, Y., Hans, S., He, M., Heeger, K. M., Heng, Y. K., Hor, Y. K., Hsiung, Y. B., Hu, B. Z., Hu, J. R., Hu, T., Hu, Z. J., Huang, H. X., Huang, J. H., Huang, X. T., Huang, Y. B., Huber, P., Jaffe, D. E., Jen, K. L., Ji, X. L., Ji, X. P., Johnson, R. A., Jones, D., Kang, L., Kettell, S. H., Kohn, S., Kramer, M., Langford, T. J., Lee, J., Lee, J. H. C., Lei, R. T., Leitner, R., Leung, J. K. C., Li, F., Li, H. L., Li, J. J., Li, Q. J., Li, R. H., Li, S., Li, S. C., Li, W. D., Li, X. N., Li, X. Q., Li, Y. F., Li, Z. B., Liang, H., Lin, C. J., Lin, G. L., Lin, S., Ling, J. J., Link, J. M., Littenberg, L., Littlejohn, B. R., Liu, J. C., Liu, J. L., Liu, J. X., Lu, C., Lu, H. Q., Luk, K. B., Ma, B. Z., Ma, X. B., Ma, X. Y., Ma, Y. Q., Mandujano, R. C., Marshall, C., McDonald, K. T., McKeown, R. D., Meng, Y., Napolitano, J., Naumov, D., Naumova, E., Nguyen, T. M. T., Ochoa-Ricoux, J. P., Olshevskiy, A., Park, J., Patton, S., Peng, J. C., Pun, C. S. J., Qi, F. Z., Qi, M., Qian, X., Raper, N., Ren, J., Reveco, C. Morales, Rosero, R., Roskovec, B., Ruan, X. C., Russell, B., Steiner, H., Sun, J. L., Tmej, T., Tse, W. -H., Tull, C. E., Tung, Y. C., Viren, B., Vorobel, V., Wang, C. H., Wang, J., Wang, M., Wang, N. Y., Wang, R. G., Wang, W., Wang, X., Wang, Y. F., Wang, Z., Wang, Z. M., Wei, H. Y., Wei, L. H., Wei, W., Wen, L. J., Whisnant, K., White, C. G., Wong, H. L. H., Worcester, E., Wu, D. R., Wu, Q., Wu, W. J., Xia, D. M., Xie, Z. Q., Xing, Z. Z., Xu, H. K., Xu, J. L., Xu, T., Xue, T., Yang, C. G., Yang, L., Yang, Y. Z., Yao, H. F., Ye, M., Yeh, M., Young, B. L., Yu, H. Z., Yu, Z. Y., Yue, B. B., Zavadskyi, V., Zeng, S., Zeng, Y., Zhan, L., Zhang, C., Zhang, F. Y., Zhang, H. H., Zhang, J. L., Zhang, J. W., Zhang, Q. M., Zhang, S. Q., Zhang, X. T., Zhang, Y. M., Zhang, Y. X., Zhang, Y. Y., Zhang, Z. J., Zhang, Z. P., Zhang, Z. Y., Zhao, J., Zhao, R. Z., Zhou, L., Zhuang, H. L., and Zou, J. H.
Subjects: Nuclear Experiment, High Energy Physics - Experiment
Abstract: Daya Bay presents the first measurement of cosmogenic $^8$He isotope production in liquid scintillator, using an innovative method for identifying cascade decays of $^8$He and its child isotope, $^8$Li. We also measure the production yield of $^9$Li isotopes using well-established methodology. The results, in units of 10$^{-8}\mu^{-1}$g$^{-1}$cm$^{2}$, are 0.307$\pm$0.042, 0.341$\pm$0.040, and 0.546$\pm$0.076 for $^8$He, and 6.73$\pm$0.73, 6.75$\pm$0.70, and 13.74$\pm$0.82 for $^9$Li at average muon energies of 63.9~GeV, 64.7~GeV, and 143.0~GeV, respectively. The measured production rate of $^8$He isotopes is more than an order of magnitude lower than any other measurement of cosmogenic isotope production. It replaces the results of previous attempts to determine the ratio of $^8$He to $^9$Li production that yielded a wide range of limits from 0 to 30\%. The results provide future liquid-scintillator-based experiments with improved ability to predict cosmogenic backgrounds.
Published: 2024

4. Charged-current non-standard neutrino interactions at Daya Bay

Author: Daya Bay collaboration, An, F. P., Bai, W. D., Balantekin, A. B., Bishai, M., Blyth, S., Cao, G. F., Cao, J., Chang, J. F., Chang, Y., Chen, H. S., Chen, H. Y., Chen, S. M., Chen, Y., Chen, Y. X., Chen, Z. Y., Cheng, J., Cheng, Y. C., Cheng, Z. K., Cherwinka, J. J., Chu, M. C., Cummings, J. P., Dalager, O., Deng, F. S., Ding, X. Y., Ding, Y. Y., Diwan, M. V., Dohnal, T., Dolzhikov, D., Dove, J., Dugas, K. V., Duyang, H. Y., Dwyer, D. A., Gallo, J. P., Gonchar, M., Gong, G. H., Gong, H., Gu, W. Q., Guo, J. Y., Guo, L., Guo, X. H., Guo, Y. H., Guo, Z., Hackenburg, R. W., Han, Y., Hans, S., He, M., Heeger, K. M., Heng, Y. K., Hor, Y. K., Hsiung, Y. B., Hu, B. Z., Hu, J. R., Hu, T., Hu, Z. J., Huang, H. X., Huang, J. H., Huang, X. T., Huang, Y. B., Huber, P., Jaffe, D. E., Jen, K. L., Ji, X. L., Ji, X. P., Johnson, R. A., Jones, D., Kang, L., Kettell, S. H., Kohn, S., Kramer, M., Langford, T. J., Lee, J., Lee, J. H. C., Lei, R. T., Leitner, R., Leung, J. K. C., Li, F., Li, H. L., Li, J. J., Li, Q. J., Li, R. H., Li, S., Li, S. C., Li, W. D., Li, X. N., Li, X. Q., Li, Y. F., Li, Z. B., Liang, H., Lin, C. J., Lin, G. L., Lin, S., Ling, J. J., Link, J. M., Littenberg, L., Littlejohn, B. R., Liu, J. C., Liu, J. L., Liu, J. X., Lu, C., Lu, H. Q., Luk, K. B., Ma, B. Z., Ma, X. B., Ma, X. Y., Ma, Y. Q., Mandujano, R. C., Marshall, C., McDonald, K. T., McKeown, R. D., Meng, Y., Napolitano, J., Naumov, D., Naumova, E., Nguyen, T. M. T., Ochoa-Ricoux, J. P., Olshevskiy, A., Park, J., Patton, S., Peng, J. C., Pun, C. S. J., Qi, F. Z., Qi, M., Qian, X., Raper, N., Ren, J., Reveco, C. Morales, Rosero, R., Roskovec, B., Ruan, X. C., Russell, B., Steiner, H., Sun, J. L., Tmej, T., Tse, W. -H., Tull, C. E., Tung, Y. C., Viren, B., Vorobel, V., Wang, C. H., Wang, J., Wang, M., Wang, N. Y., Wang, R. G., Wang, W., Wang, X., Wang, Y. F., Wang, Z., Wang, Z. M., Wei, H. Y., Wei, L. H., Wei, W., Wen, L. J., Whisnant, K., White, C. G., Wong, H. L. H., Worcester, E., Wu, D. R., Wu, Q., Wu, W. J., Xia, D. M., Xie, Z. Q., Xing, Z. Z., Xu, H. K., Xu, J. L., Xu, T., Xue, T., Yang, C. G., Yang, L., Yang, Y. Z., Yao, H. F., Ye, M., Yeh, M., Young, B. L., Yu, H. Z., Yu, Z. Y., Yue, B. B., Zavadskyi, V., Zeng, S., Zeng, Y., Zhan, L., Zhang, C., Zhang, F. Y., Zhang, H. H., Zhang, J. L., Zhang, J. W., Zhang, Q. M., Zhang, S. Q., Zhang, X. T., Zhang, Y. M., Zhang, Y. X., Zhang, Y. Y., Zhang, Z. J., Zhang, Z. P., Zhang, Z. Y., Zhao, J., Zhao, R. Z., Zhou, L., Zhuang, H. L., and Zou, J. H.
Subjects: High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract: The full data set of the Daya Bay reactor neutrino experiment is used to probe the effect of the charged current non-standard interactions (CC-NSI) on neutrino oscillation experiments. Two different approaches are applied and constraints on the corresponding CC-NSI parameters are obtained with the neutrino flux taken from the Huber-Mueller model with a $5\%$ uncertainty. For the quantum mechanics-based approach (QM-NSI), the constraints on the CC-NSI parameters $\epsilon_{e\alpha}$ and $\epsilon_{e\alpha}^{s}$ are extracted with and without the assumption that the effects of the new physics are the same in the production and detection processes, respectively. The approach based on the weak effective field theory (WEFT-NSI) deals with four types of CC-NSI represented by the parameters $[\varepsilon_{X}]_{e\alpha}$. For both approaches, the results for the CC-NSI parameters are shown for cases with various fixed values of the CC-NSI and the Dirac CP-violating phases, and when they are allowed to vary freely. We find that constraints on the QM-NSI parameters $\epsilon_{e\alpha}$ and $\epsilon_{e\alpha}^{s}$ from the Daya Bay experiment alone can reach the order $\mathcal{O}(0.01)$ for the former and $\mathcal{O}(0.1)$ for the latter, while for WEFT-NSI parameters $[\varepsilon_{X}]_{e\alpha}$, we obtain $\mathcal{O}(0.1)$ for both cases., Comment: 25 pages, 16 figures, 6 tables; 36 pages, format changed, references added
Published: 2024

5. Promoter Mutation of the bZIP Transcription Factor BdABF Accelerates Flowering in Brachypodium distachyon

Author: Han, B. J., Liu, Z. J., Bai, W. M., Sun, F. T., Niu, Y. F., Song, T. Y., You, W. J., Wang, P. Y., Li, N., and Su, P. S.
Published: 2024
Full Text: View/download PDF

6. Precision measurement of reactor antineutrino oscillation at kilometer-scale baselines by Daya Bay

Author: Daya Bay collaboration, An, F. P., Bai, W. D., Balantekin, A. B., Bishai, M., Blyth, S., Cao, G. F., Cao, J., Chang, J. F., Chang, Y., Chen, H. S., Chen, H. Y., Chen, S. M., Chen, Y., Chen, Y. X., Chen, Z. Y., Cheng, J., Cheng, Z. K., Cherwinka, J. J., Chu, M. C., Cummings, J. P., Dalager, O., Deng, F. S., Ding, Y. Y., Ding, X. Y., Diwan, M. V., Dohnal, T., Dolzhikov, D., Dove, J., Duyang, H. Y., Dwyer, D. A., Gallo, J. P., Gonchar, M., Gong, G. H., Gong, H., Gu, W. Q., Guo, J. Y., Guo, L., Guo, X. H., Guo, Y. H., Guo, Z., Hackenburg, R. W., Han, Y., Hans, S., He, M., Heeger, K. M., Heng, Y. K., Hor, Y. K., Hsiung, Y. B., Hu, B. Z., Hu, J. R., Hu, T., Hu, Z. J., Huang, H. X., Huang, J. H., Huang, X. T., Huang, Y. B., Huber, P., Jaffe, D. E., Jen, K. L., Ji, X. L., Ji, X. P., Johnson, R. A., Jones, D., Kang, L., Kettell, S. H., Kohn, S., Kramer, M., Langford, T. J., Lee, J., Lee, J. H. C., Lei, R. T., Leitner, R., Leung, J. K. C., Li, F., Li, H. L., Li, J. J., Li, Q. J., Li, R. H., Li, S., Li, S. C., Li, W. D., Li, X. N., Li, X. Q., Li, Y. F., Li, Z. B., Liang, H., Lin, C. J., Lin, G. L., Lin, S., Ling, J. J., Link, J. M., Littenberg, L., Littlejohn, B. R., Liu, J. C., Liu, J. L., Liu, J. X., Lu, C., Lu, H. Q., Luk, K. B., Ma, B. Z., Ma, X. B., Ma, X. Y., Ma, Y. Q., Mandujano, R. C., Marshall, C., McDonald, K. T., McKeown, R. D., Meng, Y., Napolitano, J., Naumov, D., Naumova, E., Nguyen, T. M. T., Ochoa-Ricoux, J. P., Olshevskiy, A., Pan, H. -R., Park, J., Patton, S., Peng, J. C., Pun, C. S. J., Qi, F. Z., Qi, M., Qian, X., Raper, N., Ren, J., Reveco, C. Morales, Rosero, R., Roskovec, B., Ruan, X. C., Russell, B., Steiner, H., Sun, J. L., Tmej, T., Treskov, K., Tse, W. -H., Tull, C. E., Viren, B., Vorobel, V., Wang, C. H., Wang, J., Wang, M., Wang, N. Y., Wang, R. G., Wang, W., Wang, X., Wang, Y., Wang, Y. F., Wang, Z., Wang, Z. M., Wei, H. Y., Wei, L. H., Wei, W., Wen, L. J., Whisnant, K., White, C. G., Wong, H. L. H., Worcester, E., Wu, D. R., Wu, Q., Wu, W. J., Xia, D. M., Xie, Z. Q., Xing, Z. Z., Xu, H. K., Xu, J. L., Xu, T., Xue, T., Yang, C. G., Yang, L., Yang, Y. Z., Yao, H. F., Ye, M., Yeh, M., Young, B. L., Yu, H. Z., Yu, Z. Y., Yue, B. B., Zavadskyi, V., Zeng, S., Zeng, Y., Zhan, L., Zhang, C., Zhang, F. Y., Zhang, H. H., Zhang, J. L., Zhang, J. W., Zhang, Q. M., Zhang, S. Q., Zhang, X. T., Zhang, Y. M., Zhang, Y. X., Zhang, Y. Y., Zhang, Z. J., Zhang, Z. P., Zhang, Z. Y., Zhao, J., Zhao, R. Z., Zhou, L., Zhuang, H. L., and Zou, J. H.
Subjects: High Energy Physics - Experiment
Abstract: We present a new determination of the smallest neutrino mixing angle ${\theta}_{13}$ and the mass-squared difference ${\Delta}{\rm m}^{2}_{32}$ using a final sample of $5.55 \times 10^{6}$ inverse beta-decay (IBD) candidates with the final-state neutron captured on gadolinium. This sample was selected from the complete data set obtained by the Daya Bay reactor neutrino experiment in 3158 days of operation. Compared to the previous Daya Bay results, selection of IBD candidates has been optimized, energy calibration refined, and treatment of backgrounds further improved. The resulting oscillation parameters are ${\rm sin}^{2}2{\theta}_{13} = 0.0851 \pm 0.0024$, ${\Delta}{\rm m}^{2}_{32} = (2.466 \pm 0.060) \times 10^{-3}{\rm eV}^{2}$ for the normal mass ordering or ${\Delta}{\rm m}^{2}_{32} = -(2.571 \pm 0.060) \times 10^{-3} {\rm eV}^{2}$ for the inverted mass ordering., Comment: 7 pages, 3 figures, 1 table, 10 supplementary files
Published: 2022

7. Pharmacokinetics and Bioequivalence of Apremilast Tablets in Chinese Healthy Subjects Under Fasting and Postprandial States

Author: Bai W, Sun X, Qiu B, Guo C, Song H, Hu Y, Zhang X, Yin P, Wang X, and Dong Z
Subjects: apremilast, psoriasis, pharmacokinetics, bioequivalence, safety., Therapeutics. Pharmacology, RM1-950
Abstract: Wanjun Bai,1 Xue Sun,1 Bo Qiu,1 Caihui Guo,1 Haojing Song,1 Yiting Hu,1 Xueyuan Zhang,2 Peihua Yin,3 Xiaoru Wang,3 Zhanjun Dong1 1Department of Pharmacy, Hebei General Hospital, Hebei Key Laboratory of Clinical Pharmacy, Shijiazhuang, Hebei, People’s Republic of China; 2Center for Clinical Pharmacology, Shanghai Innovstone Therapeutics Limited, Shanghai, People’s Republic of China; 3Center for Clinical Pharmacology, CSPC Zhongqi Pharmaceutical Technology (Shijiazhuang) Co., Ltd, Shijiazhuang, People’s Republic of ChinaCorrespondence: Zhanjun Dong, Department of Pharmacy, Hebei General Hospital, Hebei Key Laboratory of Clinical Pharmacy, No. 348 Heping West Road, Xinhua District, Shijiazhuang City, Hebei Province, 050051, People’s Republic of China, Tel +86 311 85988604, Email 13313213656@126.comObjective: This study compared the pharmacokinetics, safety and bioequivalence (BE) of generic and original apremilast tablets in healthy Chinese subjects under fasting and postprandial conditions, providing sufficient evidence for abbreviated new drug application.Methods: A randomized, open-label, two-formulation, single-dose, two-period crossover pharmacokinetic study was performed. Thirty-two eligible healthy Chinese subjects were enrolled in fasting and postprandial studies, respectively. In each trial, subjects received a single 30-mg dose of the test or reference apremilast tablet, followed by a 7-day washout interval between periods. Serial blood samples were obtained for up to 48 h post-intake in each period, and the plasma concentrations of apremilast were determined by a validated method. The primary pharmacokinetic (PK) parameters, including the maximum plasma concentration (Cmax), the areas under the plasma concentration–time curve (AUC0-t, AUC0-∞), were calculated using the non-compartmental method. The geometric mean ratios of the two formulations and the corresponding 90% confidence intervals (CIs) were acquired for bioequivalence analysis. The safety of both formulations was also evaluated.Results: Under fasting and postprandial states, the PK parameters of the test drug were similar to those of the reference drug. The 90% CIs of the geometric mean ratios of the test to reference formulations were 94.09– 103.44% for Cmax, 94.05– 103.51% for AUC0-t, and 94.56– 103.86% for AUC0-∞ under fasting conditions, and 99.18– 112.48% for Cmax, 98.79– 106.02% for AUC0-t, and 98.95– 105.89% for AUC0-∞ under postprandial conditions, all of which were within the bioequivalence range of 80.00– 125.00%. Both formulations were well tolerated, and no serious adverse events occurred during the study.Conclusion: The trial confirmed that the PK parameters of the generic and original apremilast tablets were bioequivalent in healthy Chinese subjects under fasting and postprandial states, which met the predetermined regulatory standards. Both formulations were safe and well tolerated.Clinical Trial Registration: chinaDrugtrials.org.cn, identifier CTR20191056 (July 30, 2019); chictr.org.cn, identifier ChiCTR2300076806 (October 19, 2023).Keywords: apremilast, psoriasis, pharmacokinetics, bioequivalence, safety
Published: 2024

8. Exploration of the Correlation Between GRHL1 Expression and Tumor Microenvironment in Endometrial Cancer and Immunotherapy

Author: Guo S, Bai W, Cui F, Chen X, Fang X, Shen H, and Gu X
Subjects: grhl1, endometrial cancer, tumor microenvironment, cd8+ t cells, immunotherapy, Therapeutics. Pharmacology, RM1-950
Abstract: Suyang Guo,1 Wenqi Bai,1 Fengjie Cui,1 Xin Chen,1 Xiaojing Fang,1 Honghong Shen,2 Xianhua Gu1 1Department of Gynecology Oncology, First Affiliated Hospital of Bengbu Medical University, Bengbu, People’s Republic of China; 2Department of Medical Oncology, First Affiliated Hospital of Bengbu Medical University, Bengbu, People’s Republic of ChinaCorrespondence: Honghong Shen, Department of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical University, 287 Changhuai Road, Bengbu, Anhui, 233004, People’s Republic of China, Tel +8613385681156, Email shenhonghong1984@163.com Xianhua Gu, Department of Oncology Gynecology, The First Affiliated Hospital of Bengbu Medical University, Bengbu Medical University, 287 Changhuai Road, Bengbu, Anhui, 233004, People’s Republic of China, Tel +8613385680722, Email guxianhua1986@163.comIntroduction: GRHL1 belongs to the family of Grainyhead-like (GRHL). Previous studies have shown that dysregulation of growth and survival pathways is associated with the GRHL family of gene cancers. Immunotherapy with checkpoint inhibitors has changed the treatment paradigm for many tumors, including endometrial cancer (EC). However, the effect of GRHL1 on immunotherapy in EC and its relationship with immune cell infiltration are poorly understood.Methods: Differential expression of GRHL1 between EC and normal EC tissues was analyzed by searching the TCGA database, and the results were verified utilizing immunohistochemistry analyses. Next, the relationship between GRHL1, CD8+ T cells and tumor microenvironment (TME) was also investigated, and the effect of GRHL1 expression on immunotherapy in EC was evaluated.Results: According to the findings, EC tissues had elevated expression levels of GRHL1 relative to normal tissues. Patients with EC who expressed GRHL1 at high levels experienced worse overall survival (OS) and Progression-free survival (PFS) than those whose expression was lower. In addition, GRHL1 expression was negatively correlated with CD8+ T cells, and patients with high GRHL1 expression were less effective in receiving immunotherapy.Conclusion: The expression of GRHL1 was high in EC patients, and high expression of GRHL1 inhibits the proliferation of CD8+ T cells in the tumor microenvironment of EC and affect the efficacy of immunotherapy.Keywords: GRHL1, endometrial cancer, tumor microenvironment, CD8+ T cells, immunotherapy
Published: 2024

9. Charged-current non-standard neutrino interactions at Daya Bay

Author: An, F. P., Bai, W. D., Balantekin, A. B., Bishai, M., Blyth, S., Cao, G. F., Cao, J., Chang, J. F., Chang, Y., Chen, H. S., Chen, H. Y., Chen, S. M., Chen, Y., Chen, Y. X., Chen, Z. Y., Cheng, J., Cheng, Y.-C., Cheng, Z. K., Cherwinka, J. J., Chu, M. C., Cummings, J. P., Dalager, O., Deng, F. S., Ding, X. Y., Ding, Y. Y., Diwan, M. V., Dohnal, T., Dolzhikov, D., Dove, J., Dugas, K. V., Duyang, H. Y., Dwyer, D. A., Gallo, J. P., Gonchar, M., Gong, G. H., Gong, H., Gu, W. Q., Guo, J. Y., Guo, L., Guo, X. H., Guo, Y. H., Guo, Z., Hackenburg, R. W., Han, Y., Hans, S., He, M., Heeger, K. M., Heng, Y. K., Hor, Y. K., Hsiung, Y. B., Hu, B. Z., Hu, J. R., Hu, T., Hu, Z. J., Huang, H. X., Huang, J. H., Huang, X. T., Huang, Y. B., Huber, P., Jaffe, D. E., Jen, K. L., Ji, X. L., Ji, X. P., Johnson, R. A., Jones, D., Kang, L., Kettell, S. H., Kohn, S., Kramer, M., Langford, T. J., Lee, J., Lee, J. H. C., Lei, R. T., Leitner, R., Leung, J. K. C., Li, F., Li, H. L., Li, J. J., Li, Q. J., Li, R. H., Li, S., Li, S., Li, S. C., Li, W. D., Li, X. N., Li, X. Q., Li, Y. F., Li, Z. B., Liang, H., Lin, C. J., Lin, G. L., Lin, S., Ling, J. J., Link, J. M., Littenberg, L., Littlejohn, B. R., Liu, J. C., Liu, J. L., Liu, J. X., Lu, C., Lu, H. Q., Luk, K. B., Ma, B. Z., Ma, X. B., Ma, X. Y., Ma, Y. Q., Mandujano, R. C., Marshall, C., McDonald, K. T., McKeown, R. D., Meng, Y., Napolitano, J., Naumov, D., Naumova, E., Nguyen, T. M. T., Ochoa-Ricoux, J. P., Olshevskiy, A., Park, J., Patton, S., Peng, J. C., Pun, C. S. J., Qi, F. Z., Qi, M., Qian, X., Raper, N., Ren, J., Morales Reveco, C., Rosero, R., Roskovec, B., Ruan, X. C., Russell, B., Steiner, H., Sun, J. L., Tmej, T., Tse, W.-H., Tull, C. E., Tung, Y. C., Viren, B., Vorobel, V., Wang, C. H., Wang, J., Wang, M., Wang, N. Y., Wang, R. G., Wang, W., Wang, X., Wang, Y. F., Wang, Z., Wang, Z., Wang, Z. M., Wei, H. Y., Wei, L. H., Wei, W., Wen, L. J., Whisnant, K., White, C. G., Wong, H. L. H., Worcester, E., Wu, D. R., Wu, Q., Wu, W. J., Xia, D. M., Xie, Z. Q., Xing, Z. Z., Xu, H. K., Xu, J. L., Xu, T., Xue, T., Yang, C. G., Yang, L., Yang, Y. Z., Yao, H. F., Ye, M., Yeh, M., Young, B. L., Yu, H. Z., Yu, Z. Y., Yue, B. B., Zavadskyi, V., Zeng, S., Zeng, Y., Zhan, L., Zhang, C., Zhang, F. Y., Zhang, H. H., Zhang, J. L., Zhang, J. W., Zhang, Q. M., Zhang, S. Q., Zhang, X. T., Zhang, Y. M., Zhang, Y. X., Zhang, Y. Y., Zhang, Z. J., Zhang, Z. P., Zhang, Z. Y., Zhao, J., Zhao, R. Z., Zhou, L., Zhuang, H. L., and Zou, J. H.
Published: 2024
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10. Editorial Expression of Concern: Deacetylation of cortactin by SIRT1 promotes cell migration

Author: Zhang, Y., Zhang, M., Dong, H., Yong, S., Li, X., Olashaw, N., Kruk, P. A., Cheng, J. Q., Bai, W., Chen, J., Nicosia, S. V., and Zhang, X.
Published: 2024
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11. Effect of High-Fat Meal on the Pharmacokinetics and Safety of Valsartan/Amlodipine Fixed Dose Combination Tablets in Healthy Subjects

Author: Song H, Qiu B, Sun X, Guo C, Hu Y, Bai W, and Dong Z
Subjects: amlodipine, valsartan, high fat meal, pharmacokinetics, Therapeutics. Pharmacology, RM1-950
Abstract: Haojing Song, Bo Qiu, Xue Sun, Caihui Guo, Yiting Hu, Wanjun Bai, Zhanjun Dong Department of Medicine, Hebei General Hospital, Shijiazhuang, 050051, People’s Republic of ChinaCorrespondence: Wanjun Bai; Zhanjun Dong, Department of Medicine, Hebei General Hospital, Shijiazhuang, 050051, People’s Republic of China, Tel +86-0311-85988326 ; +86-0311-85988604, Fax +86-0311-85988604, Email baiwanjun0311@163.com; yqlcdzj@163.comBackground: The objective of this study was to evaluate the effect of a high-fat meal on the pharmacokinetics and safety of 80/5 mg valsartan/amlodipine tablets in healthy subjects.Subjects and Methods: These results were derived from a bioequivalence trial where subjects were randomly assigned to take valsartan/amlodipine 80/5mg under fed conditions or after a high-fat meal contained 978.6 kilocalories (54.6% from fat). The blood samples were collected and plasma concentrations of valsartan/amlodipine were measured using high-performance liquid chromatography-mass spectrometry. The non-compartmental module of Phoenix WinNonlin Version 8.2 was used to calculate pharmacokinetic parameters. The BE module of WinNonLin was used to analyze the statistics of the maximum plasma concentration (Cmax), the area under the concentration-time curve from zero to the last quantifiable time point (AUC0-t), and the area under the concentration-time curve from zero to infinity(AUC0–∞) in plasma. 88 healthy subjects were enrolled and divided into in a fasted group and a fed group.Results: The Cmax, AUC0–t, and AUC0–∞ of valsartan in plasma under fed conditions were 51%, 56%, and 57% lower, respectively, than those under fasted conditions, and the 90% confidence interval (90% CI) were outside the 80.00– 125.00% range. All the pharmacokinetic parameters for amlodipine under fed conditions were similar to those observed under fasted conditions, and the 90% CIs were within the 80.00– 125.00% range. The incidence of treatment emergent adverse events (TEAE) was similar between the fasted group and the fed group, while adverse drug reaction (ADR) was more frequent in the fasted group which may be related to the higher blood concentrations of valsartan, but all were mild.Conclusion: The result indicated that the high-fat meal had a significant effect on the pharmacokinetics of valsartan, but no effect on amlodipine. All treatments were safe and well tolerated in healthy subjects under fed and fasted conditions.Keywords: amlodipine, valsartan, high-fat meal, pharmacokinetics
Published: 2024

12. Association of Frailty with Adverse Outcomes in Patients with Critical Acute Myocardial Infarction: A Retrospective Cohort Study

Author: Bai W, Huang T, Li X, Gao W, Qin J, Bian Y, Xu W, Xu J, and Qin L
Subjects: frailty, modified frailty index, acute myocardial infarction, critically ill patients, prognosis., Geriatrics, RC952-954.6
Abstract: Weimin Bai,1,&ast; Taoke Huang,2,&ast; Xinying Li,3,&ast; Weiyang Gao,2 Ji Qin,2 Yongxin Bian,4 Weihao Xu,5 Juan Xu,6 Lijie Qin1 1Department of Emergency, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, 463599, People’s Republic of China; 2Medical School of Chinese PLA, Beijing, 100853, People’s Republic of China; 3Faculty of Postgraduate Education, Shandong Sport University, Jinan, 250102, People’s Republic of China; 4The First School of Clinical Medicine, Binzhou Medical University, Yantai, 264003, People’s Republic of China; 5Haikou Cadre’s Sanitarium of Hainan Military Region, Haikou, 570203, People’s Republic of China; 6Department of General Surgery, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, 311202, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Juan Xu; Lijie Qin, Email sophia2932@163.com; qinlijie1819@163.comBackground: Frailty is a risk factor for acute myocardial infarction (AMI). This study examined the association between the modified frailty index (MFI) and adverse outcomes in patients with critical AMI.Methods: Data were obtained from the Medical Information Mart for Intensive Care IV database. Logistic and Cox regression models and a competing risk model were applied.Results: Of 5003 patients, 1496 were non-frail and 3507 were frail. Frailty was significantly associated with in-hospital mortality (per point, OR 1.13, 95% CI: 1.05– 1.21; frail vs non-frail, OR 1.31, 95% CI: 1.04– 1.65) and 1-year mortality (per point, HR 1.15, 95% CI: 1.11– 1.20; frail vs non-frail, HR 1.37, 95% CI: 1.20– 1.58). Frailty was significantly associated with post-discharge care needs (per point, OR 1.23, 95% CI: 1.14– 1.33; frail vs non-frail, OR 1.47, 95% CI: 1.22– 1.78). In the competing risk models, frailty was significantly associated with a lower probability of being discharged from the ICU (per point, HR 0.87, 95% CI: 0.85– 0.90; frail vs non-frail, HR 0.73, 95% CI: 0.68– 0.79) and hospital (per point, HR 0.82, 95% CI: 0.80– 0.85; frail vs non-frail, HR 0.62, 95% CI: 0.57– 0.68). Subgroup analyses showed the association of frailty with in-hospital and 1-year mortality was stronger in patients with a SOFA score ≤ 2 than in those with a SOFA score > 2 (both p< 0.05 for interaction).Conclusion: Frailty assessed by the MFI was an independent predictor of adverse outcomes in patients with critical AMI and may be helpful for prognostic risk stratification.Keywords: frailty, modified frailty index, acute myocardial infarction, critically ill patients, prognosis
Published: 2023

13. Establishment and Validation of a Machine Learning-Based Prediction Model for Termination of Pregnancy via Cesarean Section

Author: Zhang R, Sheng W, Liu F, Zhang J, and Bai W
Subjects: caesarean section, machine learning, confusion matrix, univariate partial dependence profile, Medicine (General), R5-920
Abstract: Rui Zhang,1 Weixuan Sheng,2 Feiran Liu,1 Jin Zhang,1 Wenpei Bai1 1Department of Obstetrics and Gynaecology, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Department of Anesthesiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Wenpei Bai, Email baiwp@bjsjth.cnObjective: This study aimed to investigate the risk factors of cesarean section and establish a prediction model for cesarean section based on the characteristics of pregnant women.Methods: The clinical characteristics of 2552 singleton pregnant women who delivered a live baby between January 2020 and December 2021 were retrospectively reviewed. They were divided into vaginal delivery group (n = 1850) and cesarean section group (n = 702). These subjects were divided into training set (2020.1– 2021.6) and validation set (2021.7– 2021.12). In the training set, univariate analysis, Lasso regression, and Boruta were used to screen independent risk factors for cesarean section. Four models, including Logistic Regression (LR), K-Nearest Neighbor (KNN), Classification and Regression Tree (CART), and Random forest (RF), were established in the training set using K-fold cross validation, hyperparameter optimization, and random oversampling techniques. The best model was screened, and Sort graph of feature variables, univariate partial dependency profile, and Break Down profile were delineated. In the validation set, the confusion matrix parameters were calculated, and receiver operating characteristic curve (ROC), precision recall curve (PRC), calibration curve, and clinical decision curve analysis (DCA) were delineated.Results: The risk factors of cesarean section included age and height of women, weight at delivery, weight gain, para, assisted reproduction, abnormal blood glucose during pregnancy, pregnancy hypertension, scarred uterus, premature rupture of membrane (PROM), placenta previa, fetal malposition, thrombocytopenia, floating fetal head, and labor analgesia. RF had the best performance among the four models, and the accuracy of confusion matrix parameters was 0.8956357. The Matthews correlation coefficient (MCC) was 0.753012. The area under ROC (AUC-ROC) was 0.9790787, and the area under PRC (AUC-PRC) was 0.957888.Conclusion: RF prediction model for caesarean section has high discrimination performance, accuracy and consistency, and outstanding generalization ability.Keywords: caesarean section, machine learning, confusion matrix, univariate partial dependence profile
Published: 2023

14. Bioequivalence Study of Vortioxetine Hydrobromide Tablets in Healthy Chinese Subjects Under Fasting and Fed Conditions

Author: Bai W, Song H, Hu Y, Zhang X, Wang X, Guo C, Qiu B, and Dong Z
Subjects: vortioxetine, bioequivalence, pharmacokinetics, safety., Therapeutics. Pharmacology, RM1-950
Abstract: Wanjun Bai,1 Haojing Song,1 Yiting Hu,1 Xueyuan Zhang,2 Xiaoru Wang,3 Caihui Guo,1 Bo Qiu,1 Zhanjun Dong1 1Department of Pharmacy, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China; 2Shanghai Innovstone Therapeutics Limited, Shanghai, People’s Republic of China; 3CSPC Zhongqi Pharmaceutical Technology (Shijiazhuang) Co., Ltd, Shijiazhuang, People’s Republic of ChinaCorrespondence: Zhanjun Dong, Department of Pharmacy, Hebei General Hospital, No. 348 Heping West Road, Xinhua District, Shijiazhuang City, Hebei Province, 050051, People’s Republic of China, Tel +86 311 85988604, Email 13313213656@126.comObjective: This study compared the pharmacokinetic and safety profiles of generic and original vortioxetine hydrobromide tablets under fasting and fed conditions, and evaluated the bioequivalence of two vortioxetine formulations to obtain sufficient evidence for abbreviated new drug application.Methods: A randomized, open-label, two-formulation, single-dose, two-period crossover bioequivalence study was conducted under fasting and fed conditions (n = 32 per study). Eligible healthy Chinese subjects received a single 10-mg dose of the test or reference vortioxetine hydrobromide tablet, followed by a 28-day washout interval between periods. Serial blood samples were collected up to 72 h after administration in each period, and the plasma concentrations of vortioxetine were detected using a validated method. The primary pharmacokinetic (PK) parameters were calculated using the non-compartmental method. The geometric mean ratios for the PK parameters of the test drug to the reference drug and the corresponding 90% confidence intervals were acquired for bioequivalence analysis. A safety evaluation was performed throughout the study.Results: Under fasting and fed conditions, the PK parameters of the test drug were similar to those of the reference drug. The 90% confidence intervals (CIs) of the geometric mean ratios of the test to reference formulations were 96.44– 105.81% for peak concentration (Cmax), 97.94– 105.05% for the area under the curve truncated at 72 hours (AUC0-72 h) under fasting conditions, 93.92– 104.15% for Cmax, and 96.67– 102.55% for AUC0-72 h under fed conditions, all of which were within the accepted bioequivalence range of 80.00– 125.00%. Both the test and reference formulations were well-tolerated, and no serious adverse events related to the study drug were reported during the study.Conclusion: The PK bioequivalence of the test and reference vortioxetine hydrobromide tablets in healthy Chinese subjects was established under fasting and fed conditions, which met the predetermined regulatory criteria. Both formulations were safe and well tolerated.Keywords: vortioxetine, bioequivalence, pharmacokinetics, safety
Published: 2023

15. A Bibliometric and Scientific Knowledge Map Study of Migraine Treatment from 2013 to 2022

Author: Wang T, Li Y, Miao S, Yang C, Xie W, Yuan H, Bai W, Xiao H, and Yu S
Subjects: migraine, treatment, bibliometric analysis, research trends, hot spots, Medicine (General), R5-920
Abstract: Tao Wang,1,2,&ast; Yanan Li,2,&ast; Shuai Miao,1,2 Chunxiao Yang,3 Wei Xie,1,2 Huijuan Yuan,3 Wenhao Bai,1,2 Han Xiao,1,2 Shengyuan Yu1,2 1Department of Neurology, the First Medical Centre, Chinese PLA General Hospital, Beijing, People’s Republic of China; 2Medical School of Chinese PLA, Beijing, People’s Republic of China; 3College of Medicine, Nankai University, Tianjin, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Shengyuan Yu, Email yusy1963@126.comBackground: Migraine treatment research has made much great progress over the past decade. However, there have been few bibliometric studies conducted so far. In this study, bibliometric analysis was used to explore the current status and future trends of migraine treatment research.Methods: Migraine treatment-related articles were retrieved from the Web of Science Core Collection on December 7, 2022. Quantitative variables were analyzed by the R-tool bibliometrix and Excel 2020. VOS viewer and CiteSpace software were used to visualize citation, co-authorship, co-occurrence, and co-citation analysis of countries/regions, organizations, authors, references, and keywords.Results: A total of 3294 articles were included with the global publication output showing a slow upward trend. The United States was the most productive country with 1116 papers and gained the most citations. Albert Einstein College of Medicine was the most active institution with 176 papers. Headache published the most articles in this domain, while Cephalalgia was the most commonly co-cited journal. Lipton, RB published the most articles and had the most citations. Tepper S, 2017, Lancet neurology and Silberstein S, 2004, Cephalalgia were defined as classic articles. The current research mainly focuses on CGRP-related therapeutics, such as fremanezumab, erenumab and ubrogepant.Conclusion: Based on the analysis of bibliometric data on migraine treatment over the past decade, the trends and the knowledge graph of the country, organization, author, reference, and the keyword were identified, providing accurate and quick positioning of the critical information in the domain.Keywords: migraine, treatment, bibliometric analysis, research trends, hot spots
Published: 2023

16. Epidemiological Characteristics and Clinical Manifestations of Brucellosis and Q Fever Among Humans from Northeastern Inner Mongolia

Author: Ta N, Mi J, Li X, Guo W, Yu G, Li G, Pang S, Bai W, Liu Q, Zhao H, Wei G, Fan M, and Wen Y
Subjects: distribution, clinical characteristics, brucellosis, q fever, northeastern inner mongolia, Infectious and parasitic diseases, RC109-216
Abstract: Na Ta,1,2 Jingchuan Mi,2 Xiaoyan Li,2 Wei Guo,2 Gaowa Yu,3 Guojun Li,4 Shuchun Pang,5 Wuyun Bai,6 Qingjie Liu,7 Haijun Zhao,8 Guangjun Wei,9 Mengguang Fan,2 Yongjun Wen1 1School of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, People’s Republic of China; 2Inner Mongolia Center for Disease Control and Research, Hohhot, People’s Republic of China; 3Tong Liao Center for Endemic Disease Control and Research, Tong Liao, People’s Republic of China; 4Chi Feng Center for Disease Control and Research, Chi Feng, People’s Republic of China; 5Xingan Meng Center for Disease Control and Research, Xingan Meng, People’s Republic of China; 6Keyouqian QI Center for Disease Control and Research, Xingan Meng, People’s Republic of China; 7Zhalute Qi Center for Disease Control and Research, Chi Feng, People’s Republic of China; 8Alukerqin Qi Center for Disease Control and Research, Chifeng, People’s Republic of China; 9Balinzuo Qi Center for Disease Control and Research, Chi Feng, People’s Republic of ChinaCorrespondence: Yongjun Wen, School of Veterinary Medicine, Inner Mongolia Agricultural University, No. 306, Zhaowuda Road, Saihan District, Hohhot, 010018, Inner Mongolia, People’s Republic of China, Email wenyongjun2022@163.comObjective: To investigate the distribution, epidemiology, and clinical symptoms of brucellosis and Q fever in northeastern Inner Mongolia.Methods: In this study, 64 townships of Bairin left flag and Alukerqin flag, Jarud flag and Horqin right front flag in four counties with frequent brucellosis and Q fever were selected. Epidemiological characteristics, clinical features, and exposure to risk factors were identified and descriptively analyzed in patients from these areas.Results: There were 367 brucellosis cases in the four regions and 78 positive cases of Q-fever infection. In addition, 24 cases of brucellosis and Q-fever co-infection were identified, with a co-infection rate of 1.13%. Brucellosis and Q fever were mainly concentrated in the 30– 65 and 40– 55 age groups. For brucellosis, the difference between age groups was statistically significant (χ2 = 29.121, P < 0.05). The sex distribution for brucellosis was 225 men (61.31%) and 142 women (38.69%), and 45 men (57.69%) and 33 women (42.31%) had Q fever. Those with brucellosis and Q fever were mainly farmers, accounting for 79.19% and 78.38% of the total number, respectively. Of the 367 cases of brucellosis infection, the main symptoms were joint pain (52.59%), fatigue (47.14%), lower back pain (38.96%), fever (33.24%), hyperhidrosis (28.88%), and muscle pain (20.44%). Of the 78 cases of Q-fever infection, the main symptoms were joint pain (35.90%), fatigue (30.77%), lower back pain (26.92%), fever (21.79%), and hyperhidrosis (17.95%). Muscle pain also accounted for 12.82%.Conclusion: Occupational distribution suggests that we should strengthen the protection measures against diseases infected through animal husbandry. Among the clinical symptoms, fever, hyperhidrosis and fatigue were associated with brucellosis, while fever, headache, and fatigue were significantly associated with Q fever.Keywords: distribution, clinical characteristics, brucellosis, Q fever, northeastern Inner Mongolia
Published: 2022

17. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Author: Bakas, Spyridon, Reyes, Mauricio, Jakab, Andras, Bauer, Stefan, Rempfler, Markus, Crimi, Alessandro, Shinohara, Russell Takeshi, Berger, Christoph, Ha, Sung Min, Rozycki, Martin, Prastawa, Marcel, Alberts, Esther, Lipkova, Jana, Freymann, John, Kirby, Justin, Bilello, Michel, Fathallah-Shaykh, Hassan, Wiest, Roland, Kirschke, Jan, Wiestler, Benedikt, Colen, Rivka, Kotrotsou, Aikaterini, Lamontagne, Pamela, Marcus, Daniel, Milchenko, Mikhail, Nazeri, Arash, Weber, Marc-Andre, Mahajan, Abhishek, Baid, Ujjwal, Gerstner, Elizabeth, Kwon, Dongjin, Acharya, Gagan, Agarwal, Manu, Alam, Mahbubul, Albiol, Alberto, Albiol, Antonio, Albiol, Francisco J., Alex, Varghese, Allinson, Nigel, Amorim, Pedro H. A., Amrutkar, Abhijit, Anand, Ganesh, Andermatt, Simon, Arbel, Tal, Arbelaez, Pablo, Avery, Aaron, Azmat, Muneeza, B., Pranjal, Bai, W, Banerjee, Subhashis, Barth, Bill, Batchelder, Thomas, Batmanghelich, Kayhan, Battistella, Enzo, Beers, Andrew, Belyaev, Mikhail, Bendszus, Martin, Benson, Eze, Bernal, Jose, Bharath, Halandur Nagaraja, Biros, George, Bisdas, Sotirios, Brown, James, Cabezas, Mariano, Cao, Shilei, Cardoso, Jorge M., Carver, Eric N, Casamitjana, Adrià, Castillo, Laura Silvana, Catà, Marcel, Cattin, Philippe, Cerigues, Albert, Chagas, Vinicius S., Chandra, Siddhartha, Chang, Yi-Ju, Chang, Shiyu, Chang, Ken, Chazalon, Joseph, Chen, Shengcong, Chen, Wei, Chen, Jefferson W, Chen, Zhaolin, Cheng, Kun, Choudhury, Ahana Roy, Chylla, Roger, Clérigues, Albert, Colleman, Steven, Colmeiro, Ramiro German Rodriguez, Combalia, Marc, Costa, Anthony, Cui, Xiaomeng, Dai, Zhenzhen, Dai, Lutao, Daza, Laura Alexandra, Deutsch, Eric, Ding, Changxing, Dong, Chao, Dong, Shidu, Dudzik, Wojciech, Eaton-Rosen, Zach, Egan, Gary, Escudero, Guilherme, Estienne, Théo, Everson, Richard, Fabrizio, Jonathan, Fan, Yong, Fang, Longwei, Feng, Xue, Ferrante, Enzo, Fidon, Lucas, Fischer, Martin, French, Andrew P., Fridman, Naomi, Fu, Huan, Fuentes, David, Gao, Yaozong, Gates, Evan, Gering, David, Gholami, Amir, Gierke, Willi, Glocker, Ben, Gong, Mingming, González-Villá, Sandra, Grosges, T., Guan, Yuanfang, Guo, Sheng, Gupta, Sudeep, Han, Woo-Sup, Han, Il Song, Harmuth, Konstantin, He, Huiguang, Hernández-Sabaté, Aura, Herrmann, Evelyn, Himthani, Naveen, Hsu, Winston, Hsu, Cheyu, Hu, Xiaojun, Hu, Xiaobin, Hu, Yan, Hu, Yifan, Hua, Rui, Huang, Teng-Yi, Huang, Weilin, Van Huffel, Sabine, Huo, Quan, HV, Vivek, Iftekharuddin, Khan M., Isensee, Fabian, Islam, Mobarakol, Jackson, Aaron S., Jambawalikar, Sachin R., Jesson, Andrew, Jian, Weijian, Jin, Peter, Jose, V Jeya Maria, Jungo, Alain, Kainz, B, Kamnitsas, Konstantinos, Kao, Po-Yu, Karnawat, Ayush, Kellermeier, Thomas, Kermi, Adel, Keutzer, Kurt, Khadir, Mohamed Tarek, Khened, Mahendra, Kickingereder, Philipp, Kim, Geena, King, Nik, Knapp, Haley, Knecht, Urspeter, Kohli, Lisa, Kong, Deren, Kong, Xiangmao, Koppers, Simon, Kori, Avinash, Krishnamurthi, Ganapathy, Krivov, Egor, Kumar, Piyush, Kushibar, Kaisar, Lachinov, Dmitrii, Lambrou, Tryphon, Lee, Joon, Lee, Chengen, Lee, Yuehchou, Lee, M, Lefkovits, Szidonia, Lefkovits, Laszlo, Levitt, James, Li, Tengfei, Li, Hongwei, Li, Wenqi, Li, Hongyang, Li, Xiaochuan, Li, Yuexiang, Li, Heng, Li, Zhenye, Li, Xiaoyu, Li, Zeju, Li, XiaoGang, Lin, Zheng-Shen, Lin, Fengming, Lio, Pietro, Liu, Chang, Liu, Boqiang, Liu, Xiang, Liu, Mingyuan, Liu, Ju, Liu, Luyan, Llado, Xavier, Lopez, Marc Moreno, Lorenzo, Pablo Ribalta, Lu, Zhentai, Luo, Lin, Luo, Zhigang, Ma, Jun, Ma, Kai, Mackie, Thomas, Madabushi, Anant, Mahmoudi, Issam, Maier-Hein, Klaus H., Maji, Pradipta, Mammen, CP, Mang, Andreas, Manjunath, B. S., Marcinkiewicz, Michal, McDonagh, S, McKenna, Stephen, McKinley, Richard, Mehl, Miriam, Mehta, Sachin, Mehta, Raghav, Meier, Raphael, Meinel, Christoph, Merhof, Dorit, Meyer, Craig, Miller, Robert, Mitra, Sushmita, Moiyadi, Aliasgar, Molina-Garcia, David, Monteiro, Miguel A. B., Mrukwa, Grzegorz, Myronenko, Andriy, Nalepa, Jakub, Ngo, Thuyen, Nie, Dong, Ning, Holly, Niu, Chen, Nuechterlein, Nicholas K, Oermann, Eric, Oliveira, Arlindo, Oliveira, Diego D. C., Oliver, Arnau, Osman, Alexander F. I., Ou, Yu-Nian, Ourselin, Sebastien, Paragios, Nikos, Park, Moo Sung, Paschke, Brad, Pauloski, J. Gregory, Pawar, Kamlesh, Pawlowski, Nick, Pei, Linmin, Peng, Suting, Pereira, Silvio M., Perez-Beteta, Julian, Perez-Garcia, Victor M., Pezold, Simon, Pham, Bao, Phophalia, Ashish, Piella, Gemma, Pillai, G. N., Piraud, Marie, Pisov, Maxim, Popli, Anmol, Pound, Michael P., Pourreza, Reza, Prasanna, Prateek, Prkovska, Vesna, Pridmore, Tony P., Puch, Santi, Puybareau, Élodie, Qian, Buyue, Qiao, Xu, Rajchl, Martin, Rane, Swapnil, Rebsamen, Michael, Ren, Hongliang, Ren, Xuhua, Revanuru, Karthik, Rezaei, Mina, Rippel, Oliver, Rivera, Luis Carlos, Robert, Charlotte, Rosen, Bruce, Rueckert, Daniel, Safwan, Mohammed, Salem, Mostafa, Salvi, Joaquim, Sanchez, Irina, Sánchez, Irina, Santos, Heitor M., Sartor, Emmett, Schellingerhout, Dawid, Scheufele, Klaudius, Scott, Matthew R., Scussel, Artur A., Sedlar, Sara, Serrano-Rubio, Juan Pablo, Shah, N. Jon, Shah, Nameetha, Shaikh, Mazhar, Shankar, B. Uma, Shboul, Zeina, Shen, Haipeng, Shen, Dinggang, Shen, Linlin, Shen, Haocheng, Shenoy, Varun, Shi, Feng, Shin, Hyung Eun, Shu, Hai, Sima, Diana, Sinclair, M, Smedby, Orjan, Snyder, James M., Soltaninejad, Mohammadreza, Song, Guidong, Soni, Mehul, Stawiaski, Jean, Subramanian, Shashank, Sun, Li, Sun, Roger, Sun, Jiawei, Sun, Kay, Sun, Yu, Sun, Guoxia, Sun, Shuang, Suter, Yannick R, Szilagyi, Laszlo, Talbar, Sanjay, Tao, Dacheng, Teng, Zhongzhao, Thakur, Siddhesh, Thakur, Meenakshi H, Tharakan, Sameer, Tiwari, Pallavi, Tochon, Guillaume, Tran, Tuan, Tsai, Yuhsiang M., Tseng, Kuan-Lun, Tuan, Tran Anh, Turlapov, Vadim, Tustison, Nicholas, Vakalopoulou, Maria, Valverde, Sergi, Vanguri, Rami, Vasiliev, Evgeny, Ventura, Jonathan, Vera, Luis, Vercauteren, Tom, Verrastro, C. A., Vidyaratne, Lasitha, Vilaplana, Veronica, Vivekanandan, Ajeet, Wang, Guotai, Wang, Qian, Wang, Chiatse J., Wang, Weichung, Wang, Duo, Wang, Ruixuan, Wang, Yuanyuan, Wang, Chunliang, Wen, Ning, Wen, Xin, Weninger, Leon, Wick, Wolfgang, Wu, Shaocheng, Wu, Qiang, Wu, Yihong, Xia, Yong, Xu, Yanwu, Xu, Xiaowen, Xu, Peiyuan, Yang, Tsai-Ling, Yang, Xiaoping, Yang, Hao-Yu, Yang, Junlin, Yang, Haojin, Yang, Guang, Yao, Hongdou, Ye, Xujiong, Yin, Changchang, Young-Moxon, Brett, Yu, Jinhua, Yue, Xiangyu, Zhang, Songtao, Zhang, Angela, Zhang, Kun, Zhang, Xuejie, Zhang, Lichi, Zhang, Xiaoyue, Zhang, Yazhuo, Zhang, Lei, Zhang, Jianguo, Zhang, Xiang, Zhang, Tianhao, Zhao, Sicheng, Zhao, Yu, Zhao, Xiaomei, Zhao, Liang, Zheng, Yefeng, Zhong, Liming, Zhou, Chenhong, Zhou, Xiaobing, Zhou, Fan, Zhu, Hongtu, Zhu, Jin, Zhuge, Ying, Zong, Weiwei, Kalpathy-Cramer, Jayashree, Farahani, Keyvan, Davatzikos, Christos, van Leemput, Koen, and Menze, Bjoern
Subjects: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract: Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset., Comment: The International Multimodal Brain Tumor Segmentation (BraTS) Challenge
Published: 2018

18. Pharmacokinetics, Pharmacodynamics, Safety and Tolerability of Sotagliflozin After Multiple Ascending Doses in Chinese Healthy Subjects

Author: He X, Gao X, Xie P, Liu Y, Bai W, and Shi A
Subjects: sotaglifozin, lx4211, pharmacokinetics, pharmacodynamics, safety, chinese healthy subjects, Therapeutics. Pharmacology, RM1-950
Abstract: Xuemei He, Xin Gao, Panpan Xie, Yuan Liu, Wenjing Bai, Yue Liu, Aixin Shi Clinical Trial Center, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of ChinaCorrespondence: Aixin Shi, Clinical Trial Center, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dahua Road, Dongcheng District, Beijing, 100730, People’s Republic of China, Tel +86 10 85133632, Email aixins0302@126.comBackground: Sotagliflozin (LX4211) is a dual inhibitor of sodium-glucose cotransporter (SGLT)1 and SGLT2 being investigated to improve glycemic control in adults with diabetes. This study was firstly conducted to assess the pharmacokinetic (PK), pharmacodynamic (PD) profiles, safety and tolerability in Chinese healthy subjects after administration of sotagliflozin.Methods: This was a Phase I, randomized, double-blind, placebo-controlled, ascending multiple-dose study. Healthy subjects received 200mg or 400mg of sotagliflozin or placebo once daily for 8 days, respectively. PK parameters of sotagliflozin and LX4211-GLU (main metabolite), as measured by blood samples collected pre/postdose on Day 1/predose on Day 2-Day 8/postdose on Day 8, and PD parameters of absolute urinary glucose excretion (UGE) were determined. Treatment-emergent adverse events (TEAEs) were evaluated.Results: Overall, 24 subjects were enrolled and randomized to sotagliflozin 200 mg (N = 9), sotagliflozin 400 mg (N = 9), or placebo (N = 6) group, and all subjects completed the study. Sotagliflozin was rapidly absorbed with dose-proportional systemic exposure and a moderate degree (less than 2-fold) of accumulation. Sotagliflozin plasma concentrations peaked at 1.0 h post dose. On Day 8, the estimated increases for Cmax and AUCtau were 1.89-fold and 1.70-fold. The pooled accumulation ratio of sotagliflozin was 1.57 for Cmax and 1.84 for AUCtau. LX4211-GLU had similar PK features. UGE was significantly elevated in both sotagliflozin groups relative to the placebo group. All TEAEs were mild and resolved without sequelae. There were no serious AEs or other significant TEAEs.Conclusion: Sotagliflozin was rapidly absorbed with dose-proportional systemic exposure and a moderate degree of accumulation. Both 200 mg and 400 mg sotagliflozin per day were well tolerated in Chinese healthy subjects.Keywords: diabetes mellitus, sotagliflozin/LX4211, sodium-glucose cotransporter, pharmacokinetics, pharmacodynamics, safety
Published: 2022

19. Bi0·5K0·5TiO3-based lead-free relaxor ferroelectric with high energy storage performances via the grain size and bandgap engineering

Author: Niu, Z., Zheng, P., Xiao, Y., Luo, C., Zhang, K., Zhang, J., Zheng, L., Zhang, Y., and Bai, W.
Published: 2022
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20. Mechanical properties of three-dimensionally printed titanium plates used in jaw reconstruction: preliminary study

Author: Wang, C.-F., Yu, Y., Bai, W., Han, J.-M., Zhang, W.-B., and Peng, X.
Published: 2022
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21. Identification of Prognostic Genes in Hepatocellular Carcinoma

Author: Bai W, Cheng L, Xiong L, Wang M, Liu H, Yu K, and Wang W
Subjects: hepatocellular carcinoma, stem cell, prognosis, signature, Medicine (General), R5-920
Abstract: Wenhui Bai,1,&ast; Li Cheng,2,&ast; Liangkun Xiong,1 Maoming Wang,1 Hao Liu,1 Kaihuan Yu,1,&ast; Weixing Wang3,&ast; 1Department of Hepatobiliary Surgery, Eastern Campus, Renmin Hospital of Wuhan University, Wuhan, 430060, People’s Republic of China; 2Department of Intensive Care Unit, Eastern Campus, Renmin Hospital of Wuhan University, Wuhan, 430060, People’s Republic of China; 3Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Weixing Wang; Kaihuan Yu, Email satellitte@163.com; liverdoctor@163.comBackground: Previous studies have demonstrated the important role of tumor stem cells (TSCs) in the development of hepatocellular carcinoma (HCC); however, TSC-related genetic markers have not been investigated.Aim: The aim of the present study was to identify stem cell-related signature genes to predict the prognosis of HCC, using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.Methods: In total, 423 liver HCC tissue samples, including 373 tumor and 50 adjacent normal tissue samples from TCGA, and 115 primary tumor and 52 adjacent non-tumor tissue samples from the GEO GSE76427 database, were used in the present study. The non-negative matrix factorization (NMF) algorithm, t-distributed stochastic neighbor embedding (t-SNE) algorithm and Cox regression analysis were combined for model construction and validation.Results: Overall, six clusters were identified using the NMF and t-SNE algorithms with 470 stem cell-related genes. The results demonstrated that patients in cluster 5 had the worst prognosis. For multivariate Cox survival analysis, 15 genes with optimal lambda values were chosen and eight genes were incorporated into the final regression model using the optimal Akaike information criterion value. Validation of the risk model using the aforementioned eight signature genes demonstrated the models strong reliability and stable predictive performance.Conclusion: The results of the present study indicated that the eight-gene (Hes family BHLH transcription factor 5, KIT ligand, methyltransferase-like 3, proteasome 26S subunit non-ATPase 1, Ras-related protein Rab-10, treacle ribosome biogenesis factor 1, YTH N6-methyladenosine RNA binding protein 2 and Zinc Finger CCCH-Type Containing 13) signature constructed by the model may be reliable in predicting the prognosis of patients with HCC.Keywords: hepatocellular carcinoma, stem cell, prognosis, signature
Published: 2022

22. MAF bZIP Transcription Factor B (MAFB) Protected Against Ovalbumin-Induced Allergic Rhinitis via the Alleviation of Inflammation by Restoring the T Helper (Th) 1/Th2/Th17 Imbalance and Epithelial Barrier Dysfunction

Author: Sun Y, Liu T, and Bai W
Subjects: allergic rhinitis, maf bzip transcription factor b, inflammation, t helper cell differentiation, epithelial barrier dysfunction, Immunologic diseases. Allergy, RC581-607
Abstract: Yang Sun,&ast; Tiancong Liu,&ast; Weiliang Bai Department of Otolaryngology Head and Neck Surgery, Shengjing Hospital of China Medical University, Shenyang, 110004, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Weiliang Bai, Tel +86-18940255758, Fax +86-24-62101966, Email bweiliangcmu@163.comPurpose: This work aimed to investigate the effects of MAF bZIP transcription factor B (MAFB) on the progression of allergic rhinitis (AR).Patients and Methods: Nasal mucosa was isolated from AR patients and healthy individuals from Shengjing Hospital of China Medical University. The experimental procedures were approved by the Medical Ethics Committee of Shengjing Hospital of China Medical University (2019PS341K) in accordance with the Declaration of Helsinki. Informed consents were signed by participants or a parent/legal guardian of the participants under 18 years old of age. Then, an AR mouse model with MAFB overexpression was established with 25 μg ovalbumin (OVA) sensitization on day 0, 7, 14, followed by an injection with 1× 107 TU/mL lentivirus MAFB on day 19 and a nasal challenge with 500 μg OVA from day 21 to 27.Results: The results revealed that MAFB was down-regulated in the nasal mucosa of AR patients. The up-regulation of MAFB protected the AR mice against the OVA-induced allergic symptoms (sneezing and nasal rubbing) by alleviating the OVA-induced epithelial thicknesses, goblet cell hyperplasia, and inflammation including the eosinophil and mast cell infiltration. Moreover, MAFB facilitated the T helper (Th) 1 response and inhibited the Th2 and Th17 responses by the down-regulation of T-box transcription factor 21 and the up-regulation of GATA binding protein-3 as well as retinoid-related orphan receptor-γt in the splenocytes of AR mice. MAFB was found to repress the differentiation of naive CD4+ T cells into Th2 cells. Subsequently, MAFB overexpression reversed the OVA-induced enhancement of epithelial permeability, downregulation of tight junctions, and upregulation of cadherin-26, indicating the protective role of MAFB on epithelial barrier integrity.Conclusion: MAFB protected against OVA-induced AR via the alleviation of inflammation by restoring the Th1/Th2/Th17 imbalance and epithelial barrier dysfunction.Graphical Abstract: Keywords: allergic rhinitis, MAF bZIP transcription factor B, inflammation, T helper cell differentiation, epithelial barrier dysfunction
Published: 2022

23. Efficacy of Standardized Rehabilitation in the Treatment of Diastasis Rectus Abdominis in Postpartum Women

Author: Hu J, Gu J, Yu Z, Yang X, Fan J, You L, Hua Q, Zhao Y, Yan Y, Bai W, Xu Z, and Chen C
Subjects: diastasis rectus abdominis, postpartum women, rehabilitation, physical functioning scale, Medicine (General), R5-920
Abstract: Jing Hu,1,&ast; Juanfen Gu,1,&ast; Zhiyan Yu,1 Xianxu Yang,1 Jian Fan,1 Lingying You,1 Qinyan Hua,1 Yuting Zhao,1 Yuerong Yan,1 Weiwei Bai,2 Zipeng Xu,3 Lina You,1 Chaobo Chen3,4 1Department of Postpartum Rehabilitation Center, Xishan People’s Hospital of Wuxi City, Wuxi, Jiangsu, People’s Republic of China; 2Department of Ultrasound, Xishan People’s Hospital of Wuxi City, Wuxi, Jiangsu, People’s Republic of China; 3Department of General Surgery, Xishan People’s Hospital of Wuxi City, Wuxi, Jiangsu, People’s Republic of China; 4Department of Immunology, Ophthalmology and ORL, Complutense University School of Medicine, Madrid, 28040, Spain&ast;These authors contributed equally to this workCorrespondence: Lina You; Chaobo Chen Tel +86 13812052853; +86 13585000831Email 21721140@qq.com; bobo19820106@gmail.comPurpose: The incidence of diastasis rectus abdominis (DRA) in parturients is continuously increasing, which may cause uncomfortable and affect the quality of life. The present study aims to retrospectively summarize the experience and efficacy in the treatment of DRA via standardized rehabilitation procedures in Eastern China.Methods: This retrospective study included the parturients with DRA admitted to the Xishan People’s Hospital of Wuxi between January 2017 and May 2021. Patients were separated into standardized rehabilitation group (SR) and non-standardized rehabilitation group (non-SR). The outcomes were the change in rectus abdominis separation and Physical Functioning Scale (PFS). Measurement data were compared between the two groups, and multivariate linear regression was used to analyze the factors associated with the standardized rehabilitation process. P values < 0.05 were considered statistically significant.Results: Among a total of 294 patients with DRA who were included in the study, 171 patients were treated with SR (SR), and the other 123 patients were treated without SR process (non-SR). Compared with non-SR, the separation of the rectus abdominis was significantly reduced in SR after standardized rehabilitation treatment (p value < 0.0001). The multiple linear regression model analysis results suggested that standardized rehabilitation was an independent factor influencing the prognosis of DRA in parturients (p < 0.0001). In addition, the quality of life of the study group was significantly improved (p < 0.0001).Conclusion: Standardized rehabilitation method revealed high efficiency in treating DRA in postpartum women and could improve the quality of life of parturients.Keywords: diastasis rectus abdominis, postpartum women, rehabilitation, Physical Functioning Scale
Published: 2021

24. Network Analysis of Insomnia in Chinese Mental Health Professionals During the COVID-19 Pandemic: A Cross-Sectional Study

Author: Bai W, Zhao Y, An F, Zhang Q, Sha S, Cheung T, Cheng CPW, Ng CH, and Xiang YT
Subjects: sleep, insomnia, sars-cov-2, covid-19, physicians, Psychiatry, RC435-571, Neurophysiology and neuropsychology, QP351-495
Abstract: Wei Bai,1– 3,&ast; Yanjie Zhao,1– 3,&ast; Fengrong An,4,&ast; Qinge Zhang,4,&ast; Sha Sha,4,&ast; Teris Cheung,5 Calvin Pak-Wing Cheng,6 Chee H Ng,7 Yu-Tao Xiang1– 3 1Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, People’s Republic of China; 2Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, People’s Republic of China; 3Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, People’s Republic of China; 4The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, People’s Republic of China; 5School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, People’s Republic of China; 6Department of Psychiatry, University of Hong Kong, Hong Kong SAR, People’s Republic of China; 7Department of Psychiatry, The Melbourne Clinic and St Vincent’s Hospital, University of Melbourne, Richmond, VIC, Australia&ast;These authors contributed equally to this workCorrespondence: Yu-Tao XiangFaculty of Health Sciences, University of Macau, 1/F, Building E12, Avenida da Universidade, Taipa, Macao SAR, People’s Republic of ChinaTel +853 8822-4223Fax +853 2288-2314Email xyutly@gmail.comChee H NgDepartment of Psychiatry, The Melbourne Clinic and St Vincent’s Hospital, University of Melbourne, Richmond, VIC, AustraliaEmail cng@unimelb.edu.auPurpose: The coronavirus disease 2019 (COVID-19) pandemic is associated with increased risk of insomnia symptoms (insomnia hereafter) in health-care professionals. Network analysis is a novel approach in linking mechanisms at the symptom level. The aim of this study was to characterize the insomnia network structure in mental health professionals during the COVID-19 pandemic.Patients and Methods: A total of 10,516 mental health professionals were recruited from psychiatric hospitals or psychiatric units of general hospitals nationwide between March 15 and March 20, 2020. Insomnia was assessed with the insomnia severity index (ISI). Centrality index (ie, strength) was used to identify symptoms central to the network. The stability of network was examined using a case-dropping bootstrap procedure. The network structures between different genders were also compared.Results: The overall network model showed that the item ISI7 (interference with daytime functioning) was the most central symptom in mental health professionals with the highest strength. The network was robust in stability and accuracy tests. The item ISI4 (sleep dissatisfaction) was connected to the two main clusters of insomnia symptoms (ie, the cluster of nocturnal and daytime symptoms). No significant gender network difference was found.Conclusion: Interference with daytime functioning was the most central symptom, suggesting that it may be an important treatment outcome measure for insomnia. Appropriate treatments, such as stimulus control techniques, cognitive behavioral therapy and relaxation training, could be developed. Moreover, addressing sleep satisfaction in treatment could simultaneously ameliorate daytime and nocturnal symptoms.Keywords: sleep, insomnia, SARS-CoV-2, COVID-19, physicians
Published: 2021

25. Correlation between CT and anatomopathological staging of kidney cancer

Author: Bai, W., Fadil, Y., Chadli, A., Dakir, M., Debbagh, A., and Aboutaeib, R.
Published: 2021
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26. The correlation between the gleason score of the biopsy and that of the prostatectomy patch

Author: Bai, W., Fadil, Y., Idrissi, O., Dakir, M., Debbagh, A., and Abouteib, R.
Published: 2021
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27. Évaluation de la tolérance de la sonde JJ par l’utilisation de l’auto-questionnaire USSQ

Author: Moataz, A., Gallouo, M., Mawuko-Gadosseh, Y., Graiouid, M., Bai, W., Dakir, M., Debbagh, A., and Aboutaieb, R.
Published: 2021
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28. Real-time monitoring for the next core-collapse supernova in JUNO

Author: Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de André, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Beretta, M, Bergnoli, A, Bick, D, Bieger, L, Biktemerova, S, Birkenfeld, T, Morton-Blake, I, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callier, S, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Cerrone, V, Chan, C, Chang, J, Chang, Y, Chatrabhuti, A, Chen, C, Chen, G, Chen, P, Chen, S, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chepurnov, A, Chetverikov, A, Chiesa, D, Chimenti, P, Chin, Y, Chu, Z, Chukanov, A, Claverie, G, Clementi, C, Clerbaux, B, Molla, M, Lorenzo, S, Coppi, A, Corti, D, Csakli, S, Corso, F, Dalager, O, Datta, J, Taille, C, Deng, Z, Ding, X, Ding, Y, Dirgantara, B, Dittrich, C, Dmitrievsky, S, Dohnal, T, Dolzhikov, D, Donchenko, G, Dong, J, Doroshkevich, E, Dou, W, Dracos, M, Druillole, F, Du, R, Du, S, Dugas, K, Dusini, S, Duyang, H, Eck, J, Enqvist, T, Fabbri, A, Fahrendholz, U, Fan, L, Fang, J, Fang, W, Fargetta, M, Fedoseev, D, Fei, Z, Feng, L, Feng, Q, Ferraro, F, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gavrikov, A, Giammarchi, M, Giudice, N, Gonchar, M, Gong, G, Gong, H, Gornushkin, Y, Göttel, A, Grassi, M, Gromov, M, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guan, Y, Guardone, N, Guo, C, Guo, W, Guo, X, Hagner, C, Han, R, Han, Y, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Y, Hu, Z, Huang, G, Huang, H, Huang, J, Huang, K, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Imbert, L, Ioannisian, A, Isocrate, R, Jafar, A, Jelmini, B, Jeria, I, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, C, Jiang, D, Jiang, W, Jiang, X, Jing, X, Jollet, C, Kampmann, P, Kang, L, Karaparambil, R, Kazarian, N, Khan, A, Khatun, A, Khosonthongkee, K, Korablev, D, Kouzakov, K, Krasnoperov, A, Kuleshov, S, Kutovskiy, N, Labit, L, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, G, Li, H, Li, J, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liao, J, Limphirat, A, Lin, G, Lin, S, Lin, T, Ling, J, Ling, X, Lippi, I, Liu, C, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Liu, Z, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, P, Lu, S, Lu, X, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Lukanov, A, Luo, D, Luo, F, Luo, G, Luo, J, Luo, S, Luo, W, Luo, X, Lyashuk, V, Ma, B, Ma, Q, Ma, S, Ma, X, Maalmi, J, Magoni, M, Mai, J, Malyshkin, Y, Mandujano, R, Mantovani, F, Mao, X, Mao, Y, Mari, S, Marini, F, Martini, A, Mayer, M, Mayilyan, D, Mednieks, I, Meng, Y, Meraviglia, A, Meregaglia, A, Meroni, E, Meyhöfer, D, Miramonti, L, Mohan, N, Montuschi, M, Müller, A, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Thi, M, Nikolaev, A, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Othegraven, R, Paoloni, A, Parmeggiano, S, Pei, Y, Pelicci, L, Peng, A, Peng, H, Peng, Y, Peng, Z, Perrot, F, Petitjean, P, Petrucci, F, Pilarczyk, O, Rico, L, Popov, A, Poussot, P, Previtali, E, Qi, F, Qi, M, Qi, X, Qian, S, Qian, X, Qian, Z, Qiao, H, Qin, Z, Qiu, S, Qu, M, Qu, Z, Ranucci, G, Rasheed, R, Re, A, Rebii, A, Redchuk, M, Ren, B, Ren, J, Ricci, B, Rientong, K, Rifai, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Ruan, X, Rybnikov, A, Sadovsky, A, Saggese, P, Sandanayake, D, Sangka, A, Sava, G, Sawangwit, U, Schever, M, Schwab, C, Schweizer, K, Selyunin, A, Serafini, A, Settimo, M, Sharov, V, Shaydurova, A, Shi, J, Shi, Y, Shutov, V, Sidorenkov, A, Šimkovic, F, Singhal, A, Sirignano, C, Siripak, J, Sisti, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Sokolov, S, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Šrámek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Su, A, Su, J, Sun, S, Sun, X, Sun, Y, Sun, Z, Suwonjandee, N, Szelezniak, M, Takenaka, A, Tang, J, Tang, Q, Tang, X, Hariharan, V, Theisen, E, Tietzsch, A, Tkachev, I, Tmej, T, Torri, M, Tortorici, F, Treskov, K, Triossi, A, Triozzi, R, Trzaska, W, Tung, Y, Tuve, C, Ushakov, N, Vedin, V, Venettacci, C, Verde, G, Vialkov, M, Viaud, B, Vollbrecht, C, von Sturm, K, Vorobel, V, Voronin, D, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Wang, Z, Watcharangkool, A, Wei, W, Wei, Y, Wen, K, Wen, L, Weng, J, Wiebusch, C, Wirth, R, Wonsak, B, Wu, D, Wu, Q, Wu, Y, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, F, Xiao, X, Xie, X, Xie, Y, Xie, Z, Xin, Z, Xing, Z, Xu, B, Xu, C, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, X, Xu, Y, Yan, B, Yan, Q, Yan, T, Yan, X, Yan, Y, Yang, C, Yang, J, Yang, L, Yang, X, Yang, Y, Yao, H, Ye, J, Ye, M, Ye, Z, Yermia, F, You, Z, Yu, B, Yu, C, Yu, G, Yu, H, Yu, M, Yu, X, Yu, Z, Yuan, C, Yuan, Y, Yuan, Z, Yue, B, Zafar, N, Zavadskyi, V, Zeng, F, Zeng, S, Zeng, T, Zeng, Y, Zhan, L, Zhang, A, Zhang, B, Zhang, F, Zhang, H, Zhang, J, Zhang, L, Zhang, M, Zhang, P, Zhang, Q, Zhang, S, Zhang, T, Zhang, X, Zhang, Y, Zhang, Z, Zhao, J, Zhao, R, Zhao, S, Zheng, D, Zheng, H, Zheng, Y, Zhong, W, Zhou, J, Zhou, L, Zhou, N, Zhou, S, Zhou, T, Zhou, X, Zhu, J, Zhu, K, Zhu, Z, Zhuang, B, Zhuang, H, Zong, L, Zou, J, Züfle, J, Null, N, Abusleme, Angel, Adam, Thomas, Ahmad, Shakeel, Ahmed, Rizwan, Aiello, Sebastiano, Akram, Muhammad, Aleem, Abid, An, Fengpeng, An, Qi, Andronico, Giuseppe, Anfimov, Nikolay, Antonelli, Vito, Antoshkina, Tatiana, Asavapibhop, Burin, de André, João Pedro Athayde Marcondes, Auguste, Didier, Bai, Weidong, Balashov, Nikita, Baldini, Wander, Barresi, Andrea, Basilico, Davide, Baussan, Eric, Bellato, Marco, Beretta, Marco, Bergnoli, Antonio, Bick, Daniel, Bieger, Lukas, Biktemerova, Svetlana, Birkenfeld, Thilo, Morton-Blake, Iwan, Blum, David, Blyth, Simon, Bolshakova, Anastasia, Bongrand, Mathieu, Bordereau, Clément, Breton, Dominique, Brigatti, Augusto, Brugnera, Riccardo, Bruno, Riccardo, Budano, Antonio, Busto, Jose, Cabrera, Anatael, Caccianiga, Barbara, Cai, Hao, Cai, Xiao, Cai, Yanke, Cai, Zhiyan, Callier, Stéphane, Cammi, Antonio, Campeny, Agustin, Cao, Chuanya, Cao, Guofu, Cao, Jun, Caruso, Rossella, Cerna, Cédric, Cerrone, Vanessa, Chan, Chi, Chang, Jinfan, Chang, Yun, Chatrabhuti, Auttakit, Chen, Chao, Chen, Guoming, Chen, Pingping, Chen, Shaomin, Chen, Yixue, Chen, Yu, Chen, Zhangming, Chen, Zhiyuan, Chen, Zikang, Cheng, Jie, Cheng, Yaping, Cheng, Yu Chin, Chepurnov, Alexander, Chetverikov, Alexey, Chiesa, Davide, Chimenti, Pietro, Chin, Yen-Ting, Chu, Ziliang, Chukanov, Artem, Claverie, Gérard, Clementi, Catia, Clerbaux, Barbara, Molla, Marta Colomer, Lorenzo, Selma Conforti Di, Coppi, Alberto, Corti, Daniele, Csakli, Simon, Corso, Flavio Dal, Dalager, Olivia, Datta, Jaydeep, Taille, Christophe De La, Deng, Zhi, Deng, Ziyan, Ding, Xiaoyu, Ding, Xuefeng, Ding, Yayun, Dirgantara, Bayu, Dittrich, Carsten, Dmitrievsky, Sergey, Dohnal, Tadeas, Dolzhikov, Dmitry, Donchenko, Georgy, Dong, Jianmeng, Doroshkevich, Evgeny, Dou, Wei, Dracos, Marcos, Druillole, Frédéric, Du, Ran, Du, Shuxian, Dugas, Katherine, Dusini, Stefano, Duyang, Hongyue, Eck, Jessica, Enqvist, Timo, Fabbri, Andrea, Fahrendholz, Ulrike, Fan, Lei, Fang, Jian, Fang, Wenxing, Fargetta, Marco, Fedoseev, Dmitry, Fei, Zhengyong, Feng, Li-Cheng, Feng, Qichun, Ferraro, Federico, Fournier, Amélie, Gan, Haonan, Gao, Feng, Garfagnini, Alberto, Gavrikov, Arsenii, Giammarchi, Marco, Giudice, Nunzio, Gonchar, Maxim, Gong, Guanghua, Gong, Hui, Gornushkin, Yuri, Göttel, Alexandre, Grassi, Marco, Gromov, Maxim, Gromov, Vasily, Gu, Minghao, Gu, Xiaofei, Gu, Yu, Guan, Mengyun, Guan, Yuduo, Guardone, Nunzio, Guo, Cong, Guo, Wanlei, Guo, Xinheng, Hagner, Caren, Han, Ran, Han, Yang, He, Miao, He, Wei, Heinz, Tobias, Hellmuth, Patrick, Heng, Yuekun, Herrera, Rafael, Hor, YuenKeung, Hou, Shaojing, Hsiung, Yee, Hu, Bei-Zhen, Hu, Hang, Hu, Jianrun, Hu, Jun, Hu, Shouyang, Hu, Tao, Hu, Yuxiang, Hu, Zhuojun, Huang, Guihong, Huang, Hanxiong, Huang, Jinhao, Huang, Junting, Huang, Kaixuan, Huang, Wenhao, Huang, Xin, Huang, Xingtao, Huang, Yongbo, Hui, Jiaqi, Huo, Lei, Huo, Wenju, Huss, Cédric, Hussain, Safeer, Imbert, Leonard, Ioannisian, Ara, Isocrate, Roberto, Jafar, Arshak, Jelmini, Beatrice, Jeria, Ignacio, Ji, Xiaolu, Jia, Huihui, Jia, Junji, Jian, Siyu, Jiang, Cailian, Jiang, Di, Jiang, Wei, Jiang, Xiaoshan, Jing, Xiaoping, Jollet, Cécile, Kampmann, Philipp, Kang, Li, Karaparambil, Rebin, Kazarian, Narine, Khan, Ali, Khatun, Amina, Khosonthongkee, Khanchai, Korablev, Denis, Kouzakov, Konstantin, Krasnoperov, Alexey, Kuleshov, Sergey, Kutovskiy, Nikolay, Labit, Loïc, Lachenmaier, Tobias, Landini, Cecilia, Leblanc, Sébastien, Lebrin, Victor, Lefevre, Frederic, Lei, Ruiting, Leitner, Rupert, Leung, Jason, Li, Demin, Li, Fei, Li, Fule, Li, Gaosong, Li, Huiling, Li, Jiajun, Li, Mengzhao, Li, Min, Li, Nan, Li, Qingjiang, Li, Ruhui, Li, Rui, Li, Shanfeng, Li, Tao, Li, Teng, Li, Weidong, Li, Weiguo, Li, Xiaomei, Li, Xiaonan, Li, Xinglong, Li, Yi, Li, Yichen, Li, Yufeng, Li, Zhaohan, Li, Zhibing, Li, Ziyuan, Li, Zonghai, Liang, Hao, Liao, Jiajun, Limphirat, Ayut, Lin, Guey-Lin, Lin, Shengxin, Lin, Tao, Ling, Jiajie, Ling, Xin, Lippi, Ivano, Liu, Caimei, Liu, Fang, Liu, Fengcheng, Liu, Haidong, Liu, Haotian, Liu, Hongbang, Liu, Hongjuan, Liu, Hongtao, Liu, Hui, Liu, Jianglai, Liu, Jiaxi, Liu, Jinchang, Liu, Min, Liu, Qian, Liu, Qin, Liu, Runxuan, Liu, Shenghui, Liu, Shubin, Liu, Shulin, Liu, Xiaowei, Liu, Xiwen, Liu, Xuewei, Liu, Yankai, Liu, Zhen, Lokhov, Alexey, Lombardi, Paolo, Lombardo, Claudio, Loo, Kai, Lu, Chuan, Lu, Haoqi, Lu, Jingbin, Lu, Junguang, Lu, Peizhi, Lu, Shuxiang, Lu, Xianguo, Lubsandorzhiev, Bayarto, Lubsandorzhiev, Sultim, Ludhova, Livia, Lukanov, Arslan, Luo, Daibin, Luo, Fengjiao, Luo, Guang, Luo, Jianyi, Luo, Shu, Luo, Wuming, Luo, Xiaojie, Lyashuk, Vladimir, Ma, Bangzheng, Ma, Bing, Ma, Qiumei, Ma, Si, Ma, Xiaoyan, Ma, Xubo, Maalmi, Jihane, Magoni, Marco, Mai, Jingyu, Malyshkin, Yury, Mandujano, Roberto Carlos, Mantovani, Fabio, Mao, Xin, Mao, Yajun, Mari, Stefano M., Marini, Filippo, Martini, Agnese, Mayer, Matthias, Mayilyan, Davit, Mednieks, Ints, Meng, Yue, Meraviglia, Anita, Meregaglia, Anselmo, Meroni, Emanuela, Meyhöfer, David, Miramonti, Lino, Mohan, Nikhil, Montuschi, Michele, Müller, Axel, Nastasi, Massimiliano, Naumov, Dmitry V., Naumova, Elena, Navas-Nicolas, Diana, Nemchenok, Igor, Thi, Minh Thuan Nguyen, Nikolaev, Alexey, Ning, Feipeng, Ning, Zhe, Nunokawa, Hiroshi, Oberauer, Lothar, Ochoa-Ricoux, Juan Pedro, Olshevskiy, Alexander, Orestano, Domizia, Ortica, Fausto, Othegraven, Rainer, Paoloni, Alessandro, Parmeggiano, Sergio, Pei, Yatian, Pelicci, Luca, Peng, Anguo, Peng, Haiping, Peng, Yu, Peng, Zhaoyuan, Perrot, Frédéric, Petitjean, Pierre-Alexandre, Petrucci, Fabrizio, Pilarczyk, Oliver, Rico, Luis Felipe Piñeres, Popov, Artyom, Poussot, Pascal, Previtali, Ezio, Qi, Fazhi, Qi, Ming, Qi, Xiaohui, Qian, Sen, Qian, Xiaohui, Qian, Zhen, Qiao, Hao, Qin, Zhonghua, Qiu, Shoukang, Qu, Manhao, Qu, Zhenning, Ranucci, Gioacchino, Rasheed, Reem, Re, Alessandra, Rebii, Abdel, Redchuk, Mariia, Ren, Bin, Ren, Jie, Ricci, Barbara, Rientong, Komkrit, Rifai, Mariam, Roche, Mathieu, Rodphai, Narongkiat, Romani, Aldo, Roskovec, Bedřich, Ruan, Xichao, Rybnikov, Arseniy, Sadovsky, Andrey, Saggese, Paolo, Sandanayake, Deshan, Sangka, Anut, Sava, Giuseppe, Sawangwit, Utane, Schever, Michaela, Schwab, Cédric, Schweizer, Konstantin, Selyunin, Alexandr, Serafini, Andrea, Settimo, Mariangela, Sharov, Vladislav, Shaydurova, Arina, Shi, Jingyan, Shi, Yanan, Shutov, Vitaly, Sidorenkov, Andrey, Šimkovic, Fedor, Singhal, Apeksha, Sirignano, Chiara, Siripak, Jaruchit, Sisti, Monica, Smirnov, Mikhail, Smirnov, Oleg, Sogo-Bezerra, Thiago, Sokolov, Sergey, Songwadhana, Julanan, Soonthornthum, Boonrucksar, Sotnikov, Albert, Šrámek, Ondřej, Sreethawong, Warintorn, Stahl, Achim, Stanco, Luca, Stankevich, Konstantin, Steiger, Hans, Steinmann, Jochen, Sterr, Tobias, Stock, Matthias Raphael, Strati, Virginia, Studenikin, Alexander, Su, Aoqi, Su, Jun, Sun, Shifeng, Sun, Xilei, Sun, Yongjie, Sun, Yongzhao, Sun, Zhengyang, Suwonjandee, Narumon, Szelezniak, Michal, Takenaka, Akira, Tang, Jian, Tang, Qiang, Tang, Quan, Tang, Xiao, Hariharan, Vidhya Thara, Theisen, Eric, Tietzsch, Alexander, Tkachev, Igor, Tmej, Tomas, Torri, Marco Danilo Claudio, Tortorici, Francesco, Treskov, Konstantin, Triossi, Andrea, Triozzi, Riccardo, Trzaska, Wladyslaw, Tung, Yu-Chen, Tuve, Cristina, Ushakov, Nikita, Vedin, Vadim, Venettacci, Carlo, Verde, Giuseppe, Vialkov, Maxim, Viaud, Benoit, Vollbrecht, Cornelius Moritz, von Sturm, Katharina, Vorobel, Vit, Voronin, Dmitriy, Votano, Lucia, Walker, Pablo, Wang, Caishen, Wang, Chung-Hsiang, Wang, En, Wang, Guoli, Wang, Jian, Wang, Jun, Wang, Li, Wang, Lu, Wang, Meng, Wang, Ruiguang, Wang, Siguang, Wang, Wei, Wang, Wenshuai, Wang, Xi, Wang, Xiangyue, Wang, Yangfu, Wang, Yaoguang, Wang, Yi, Wang, Yifang, Wang, Yuanqing, Wang, Yuyi, Wang, Zhe, Wang, Zheng, Wang, Zhimin, Watcharangkool, Apimook, Wei, Wei, Wei, Wenlu, Wei, Yadong, Wei, Yuehuan, Wen, Kaile, Wen, Liangjian, Weng, Jun, Wiebusch, Christopher, Wirth, Rosmarie, Wonsak, Bjoern, Wu, Diru, Wu, Qun, Wu, Yiyang, Wu, Zhi, Wurm, Michael, Wurtz, Jacques, Wysotzki, Christian, Xi, Yufei, Xia, Dongmei, Xiao, Fei, Xiao, Xiang, Xie, Xiaochuan, Xie, Yuguang, Xie, Zhangquan, Xin, Zhao, Xing, Zhizhong, Xu, Benda, Xu, Cheng, Xu, Donglian, Xu, Fanrong, Xu, Hangkun, Xu, Jilei, Xu, Jing, Xu, Meihang, Xu, Xunjie, Xu, Yin, Xu, Yu, Yan, Baojun, Yan, Qiyu, Yan, Taylor, Yan, Xiongbo, Yan, Yupeng, Yang, Changgen, Yang, Chengfeng, Yang, Jie, Yang, Lei, Yang, Xiaoyu, Yang, Yifan, Yao, Haifeng, Ye, Jiaxuan, Ye, Mei, Ye, Ziping, Yermia, Frédéric, You, Zhengyun, Yu, Boxiang, Yu, Chiye, Yu, Chunxu, Yu, Guojun, Yu, Hongzhao, Yu, Miao, Yu, Xianghui, Yu, Zeyuan, Yu, Zezhong, Yuan, Cenxi, Yuan, Chengzhuo, Yuan, Ying, Yuan, Zhenxiong, Yue, Baobiao, Zafar, Noman, Zavadskyi, Vitalii, Zeng, Fanrui, Zeng, Shan, Zeng, Tingxuan, Zeng, Yuda, Zhan, Liang, Zhang, Aiqiang, Zhang, Bin, Zhang, Binting, Zhang, Feiyang, Zhang, Haosen, Zhang, Honghao, Zhang, Jialiang, Zhang, Jiawen, Zhang, Jie, Zhang, Jingbo, Zhang, Jinnan, ZHANG, Lei, Zhang, Mohan, Zhang, Peng, Zhang, Ping, Zhang, Qingmin, Zhang, Shiqi, Zhang, Shu, Zhang, Shuihan, Zhang, Siyuan, Zhang, Tao, Zhang, Xiaomei, Zhang, Xin, Zhang, Xuantong, Zhang, Yinhong, Zhang, Yiyu, Zhang, Yongpeng, Zhang, Yu, Zhang, Yuanyuan, Zhang, Yumei, Zhang, Zhenyu, Zhang, Zhijian, Zhao, Jie, Zhao, Rong, Zhao, Runze, Zhao, Shujun, Zheng, Dongqin, Zheng, Hua, Zheng, Yangheng, Zhong, Weirong, Zhou, Jing, Zhou, Li, Zhou, Nan, Zhou, Shun, Zhou, Tong, Zhou, Xiang, Zhu, Jingsen, Zhu, Kangfu, Zhu, Kejun, Zhu, Zhihang, Zhuang, Bo, Zhuang, Honglin, Zong, Liang, Zou, Jiaheng, Züfle, Jan, null, null, Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de André, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Beretta, M, Bergnoli, A, Bick, D, Bieger, L, Biktemerova, S, Birkenfeld, T, Morton-Blake, I, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callier, S, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Cerrone, V, Chan, C, Chang, J, Chang, Y, Chatrabhuti, A, Chen, C, 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Abusleme, Angel, Adam, Thomas, Ahmad, Shakeel, Ahmed, Rizwan, Aiello, Sebastiano, Akram, Muhammad, Aleem, Abid, An, Fengpeng, An, Qi, Andronico, Giuseppe, Anfimov, Nikolay, Antonelli, Vito, Antoshkina, Tatiana, Asavapibhop, Burin, de André, João Pedro Athayde Marcondes, Auguste, Didier, Bai, Weidong, Balashov, Nikita, Baldini, Wander, Barresi, Andrea, Basilico, Davide, Baussan, Eric, Bellato, Marco, Beretta, Marco, Bergnoli, Antonio, Bick, Daniel, Bieger, Lukas, Biktemerova, Svetlana, Birkenfeld, Thilo, Morton-Blake, Iwan, Blum, David, Blyth, Simon, Bolshakova, Anastasia, Bongrand, Mathieu, Bordereau, Clément, Breton, Dominique, Brigatti, Augusto, Brugnera, Riccardo, Bruno, Riccardo, Budano, Antonio, Busto, Jose, Cabrera, Anatael, Caccianiga, Barbara, Cai, Hao, Cai, Xiao, Cai, Yanke, Cai, Zhiyan, Callier, Stéphane, Cammi, Antonio, Campeny, Agustin, Cao, Chuanya, Cao, Guofu, Cao, Jun, Caruso, Rossella, Cerna, Cédric, Cerrone, Vanessa, Chan, Chi, Chang, Jinfan, Chang, Yun, Chatrabhuti, Auttakit, Chen, Chao, Chen, Guoming, Chen, Pingping, Chen, Shaomin, Chen, Yixue, Chen, Yu, Chen, Zhangming, Chen, Zhiyuan, Chen, Zikang, Cheng, Jie, Cheng, Yaping, Cheng, Yu Chin, Chepurnov, Alexander, Chetverikov, Alexey, Chiesa, Davide, Chimenti, Pietro, Chin, Yen-Ting, Chu, Ziliang, Chukanov, Artem, Claverie, Gérard, Clementi, Catia, Clerbaux, Barbara, Molla, Marta Colomer, Lorenzo, Selma Conforti Di, Coppi, Alberto, Corti, Daniele, Csakli, Simon, Corso, Flavio Dal, Dalager, Olivia, Datta, Jaydeep, Taille, Christophe De La, Deng, Zhi, Deng, Ziyan, Ding, Xiaoyu, Ding, Xuefeng, Ding, Yayun, Dirgantara, Bayu, Dittrich, Carsten, Dmitrievsky, Sergey, Dohnal, Tadeas, Dolzhikov, Dmitry, Donchenko, Georgy, Dong, Jianmeng, Doroshkevich, Evgeny, Dou, Wei, Dracos, Marcos, Druillole, Frédéric, Du, Ran, Du, Shuxian, Dugas, Katherine, Dusini, Stefano, Duyang, Hongyue, Eck, Jessica, Enqvist, Timo, Fabbri, Andrea, Fahrendholz, Ulrike, Fan, Lei, Fang, Jian, Fang, Wenxing, Fargetta, Marco, Fedoseev, Dmitry, Fei, Zhengyong, Feng, Li-Cheng, Feng, Qichun, Ferraro, Federico, Fournier, Amélie, Gan, Haonan, Gao, Feng, Garfagnini, Alberto, Gavrikov, Arsenii, Giammarchi, Marco, Giudice, Nunzio, Gonchar, Maxim, Gong, Guanghua, Gong, Hui, Gornushkin, Yuri, Göttel, Alexandre, Grassi, Marco, Gromov, Maxim, Gromov, Vasily, Gu, Minghao, Gu, Xiaofei, Gu, Yu, Guan, Mengyun, Guan, Yuduo, Guardone, Nunzio, Guo, Cong, Guo, Wanlei, Guo, Xinheng, Hagner, Caren, Han, Ran, Han, Yang, He, Miao, He, Wei, Heinz, Tobias, Hellmuth, Patrick, Heng, Yuekun, Herrera, Rafael, Hor, YuenKeung, Hou, Shaojing, Hsiung, Yee, Hu, Bei-Zhen, Hu, Hang, Hu, Jianrun, Hu, Jun, Hu, Shouyang, Hu, Tao, Hu, Yuxiang, Hu, Zhuojun, Huang, Guihong, Huang, Hanxiong, Huang, Jinhao, Huang, Junting, Huang, Kaixuan, Huang, Wenhao, Huang, Xin, Huang, Xingtao, Huang, Yongbo, Hui, Jiaqi, Huo, Lei, Huo, Wenju, Huss, Cédric, Hussain, Safeer, Imbert, Leonard, Ioannisian, Ara, Isocrate, Roberto, Jafar, Arshak, Jelmini, Beatrice, Jeria, Ignacio, Ji, Xiaolu, Jia, Huihui, Jia, Junji, Jian, Siyu, Jiang, Cailian, Jiang, Di, Jiang, Wei, Jiang, Xiaoshan, Jing, Xiaoping, Jollet, Cécile, Kampmann, Philipp, Kang, Li, Karaparambil, Rebin, Kazarian, Narine, Khan, Ali, Khatun, Amina, Khosonthongkee, Khanchai, Korablev, Denis, Kouzakov, Konstantin, Krasnoperov, Alexey, Kuleshov, Sergey, Kutovskiy, Nikolay, Labit, Loïc, Lachenmaier, Tobias, Landini, Cecilia, Leblanc, Sébastien, Lebrin, Victor, Lefevre, Frederic, Lei, Ruiting, Leitner, Rupert, Leung, Jason, Li, Demin, Li, Fei, Li, Fule, Li, Gaosong, Li, Huiling, Li, Jiajun, Li, Mengzhao, Li, Min, Li, Nan, Li, Qingjiang, Li, Ruhui, Li, Rui, Li, Shanfeng, Li, Tao, Li, Teng, Li, Weidong, Li, Weiguo, Li, Xiaomei, Li, Xiaonan, Li, Xinglong, Li, Yi, Li, Yichen, Li, Yufeng, Li, Zhaohan, Li, Zhibing, Li, Ziyuan, Li, Zonghai, Liang, Hao, Liao, Jiajun, Limphirat, Ayut, Lin, Guey-Lin, Lin, Shengxin, Lin, Tao, Ling, Jiajie, Ling, Xin, Lippi, Ivano, Liu, Caimei, Liu, Fang, Liu, Fengcheng, Liu, Haidong, Liu, Haotian, Liu, Hongbang, Liu, Hongjuan, Liu, Hongtao, Liu, Hui, Liu, Jianglai, Liu, Jiaxi, Liu, Jinchang, Liu, Min, Liu, Qian, Liu, Qin, Liu, Runxuan, Liu, Shenghui, Liu, Shubin, Liu, Shulin, Liu, Xiaowei, Liu, Xiwen, Liu, Xuewei, Liu, Yankai, Liu, Zhen, Lokhov, Alexey, Lombardi, Paolo, Lombardo, Claudio, Loo, Kai, Lu, Chuan, Lu, Haoqi, Lu, Jingbin, Lu, Junguang, Lu, Peizhi, Lu, Shuxiang, Lu, Xianguo, Lubsandorzhiev, Bayarto, Lubsandorzhiev, Sultim, Ludhova, Livia, Lukanov, Arslan, Luo, Daibin, Luo, Fengjiao, Luo, Guang, Luo, Jianyi, Luo, Shu, Luo, Wuming, Luo, Xiaojie, Lyashuk, Vladimir, Ma, Bangzheng, Ma, Bing, Ma, Qiumei, Ma, Si, Ma, Xiaoyan, Ma, Xubo, Maalmi, Jihane, Magoni, Marco, Mai, Jingyu, Malyshkin, Yury, Mandujano, Roberto Carlos, Mantovani, Fabio, Mao, Xin, Mao, Yajun, Mari, Stefano M., Marini, Filippo, Martini, Agnese, Mayer, Matthias, Mayilyan, Davit, Mednieks, Ints, Meng, Yue, Meraviglia, Anita, Meregaglia, Anselmo, Meroni, Emanuela, Meyhöfer, David, Miramonti, Lino, Mohan, Nikhil, Montuschi, Michele, Müller, Axel, Nastasi, Massimiliano, Naumov, Dmitry V., Naumova, Elena, Navas-Nicolas, Diana, Nemchenok, Igor, Thi, Minh Thuan Nguyen, Nikolaev, Alexey, Ning, Feipeng, Ning, Zhe, Nunokawa, Hiroshi, Oberauer, Lothar, Ochoa-Ricoux, Juan Pedro, Olshevskiy, Alexander, Orestano, Domizia, Ortica, Fausto, Othegraven, Rainer, Paoloni, Alessandro, Parmeggiano, Sergio, Pei, Yatian, Pelicci, Luca, Peng, Anguo, Peng, Haiping, Peng, Yu, Peng, Zhaoyuan, Perrot, Frédéric, Petitjean, Pierre-Alexandre, Petrucci, Fabrizio, Pilarczyk, Oliver, Rico, Luis Felipe Piñeres, Popov, Artyom, Poussot, Pascal, Previtali, Ezio, Qi, Fazhi, Qi, Ming, Qi, Xiaohui, Qian, Sen, Qian, Xiaohui, Qian, Zhen, Qiao, Hao, Qin, Zhonghua, Qiu, Shoukang, Qu, Manhao, Qu, Zhenning, Ranucci, Gioacchino, Rasheed, Reem, Re, Alessandra, Rebii, Abdel, Redchuk, Mariia, Ren, Bin, Ren, Jie, Ricci, Barbara, Rientong, Komkrit, Rifai, Mariam, Roche, Mathieu, Rodphai, Narongkiat, Romani, Aldo, Roskovec, Bedřich, Ruan, Xichao, Rybnikov, Arseniy, Sadovsky, Andrey, Saggese, Paolo, Sandanayake, Deshan, Sangka, Anut, Sava, Giuseppe, Sawangwit, Utane, Schever, Michaela, Schwab, Cédric, Schweizer, Konstantin, Selyunin, Alexandr, Serafini, Andrea, Settimo, Mariangela, Sharov, Vladislav, Shaydurova, Arina, Shi, Jingyan, Shi, Yanan, Shutov, Vitaly, Sidorenkov, Andrey, Šimkovic, Fedor, Singhal, Apeksha, Sirignano, Chiara, Siripak, Jaruchit, Sisti, Monica, Smirnov, Mikhail, Smirnov, Oleg, Sogo-Bezerra, Thiago, Sokolov, Sergey, Songwadhana, Julanan, Soonthornthum, Boonrucksar, Sotnikov, Albert, Šrámek, Ondřej, Sreethawong, Warintorn, Stahl, Achim, Stanco, Luca, Stankevich, Konstantin, Steiger, Hans, Steinmann, Jochen, Sterr, Tobias, Stock, Matthias Raphael, Strati, Virginia, Studenikin, Alexander, Su, Aoqi, Su, Jun, Sun, Shifeng, Sun, Xilei, Sun, Yongjie, Sun, Yongzhao, Sun, Zhengyang, Suwonjandee, Narumon, Szelezniak, Michal, Takenaka, Akira, Tang, Jian, Tang, Qiang, Tang, Quan, Tang, Xiao, Hariharan, Vidhya Thara, Theisen, Eric, Tietzsch, Alexander, Tkachev, Igor, Tmej, Tomas, Torri, Marco Danilo Claudio, Tortorici, Francesco, Treskov, Konstantin, Triossi, Andrea, Triozzi, Riccardo, Trzaska, Wladyslaw, Tung, Yu-Chen, Tuve, Cristina, Ushakov, Nikita, Vedin, Vadim, Venettacci, Carlo, Verde, Giuseppe, Vialkov, Maxim, Viaud, Benoit, Vollbrecht, Cornelius Moritz, von Sturm, Katharina, Vorobel, Vit, Voronin, Dmitriy, Votano, Lucia, Walker, Pablo, Wang, Caishen, Wang, Chung-Hsiang, Wang, En, Wang, Guoli, Wang, Jian, Wang, Jun, Wang, Li, Wang, Lu, Wang, Meng, Wang, Ruiguang, Wang, Siguang, Wang, Wei, Wang, Wenshuai, Wang, Xi, Wang, Xiangyue, Wang, Yangfu, Wang, Yaoguang, Wang, Yi, Wang, Yifang, Wang, Yuanqing, Wang, Yuyi, Wang, Zhe, Wang, Zheng, Wang, Zhimin, Watcharangkool, Apimook, Wei, Wei, Wei, Wenlu, Wei, Yadong, Wei, Yuehuan, Wen, Kaile, Wen, Liangjian, Weng, Jun, Wiebusch, Christopher, Wirth, Rosmarie, Wonsak, Bjoern, Wu, Diru, Wu, Qun, Wu, Yiyang, Wu, Zhi, Wurm, Michael, Wurtz, Jacques, Wysotzki, Christian, Xi, Yufei, Xia, Dongmei, Xiao, Fei, Xiao, Xiang, Xie, Xiaochuan, Xie, Yuguang, Xie, Zhangquan, Xin, Zhao, Xing, Zhizhong, Xu, Benda, Xu, Cheng, Xu, Donglian, Xu, Fanrong, Xu, Hangkun, Xu, Jilei, Xu, Jing, Xu, Meihang, Xu, Xunjie, Xu, Yin, Xu, Yu, Yan, Baojun, Yan, Qiyu, Yan, Taylor, Yan, Xiongbo, Yan, Yupeng, Yang, Changgen, Yang, Chengfeng, Yang, Jie, Yang, Lei, Yang, Xiaoyu, Yang, Yifan, Yao, Haifeng, Ye, Jiaxuan, Ye, Mei, Ye, Ziping, Yermia, Frédéric, You, Zhengyun, Yu, Boxiang, Yu, Chiye, Yu, Chunxu, Yu, Guojun, Yu, Hongzhao, Yu, Miao, Yu, Xianghui, Yu, Zeyuan, Yu, Zezhong, Yuan, Cenxi, Yuan, Chengzhuo, Yuan, Ying, Yuan, Zhenxiong, Yue, Baobiao, Zafar, Noman, Zavadskyi, Vitalii, Zeng, Fanrui, Zeng, Shan, Zeng, Tingxuan, Zeng, Yuda, Zhan, Liang, Zhang, Aiqiang, Zhang, Bin, Zhang, Binting, Zhang, Feiyang, Zhang, Haosen, Zhang, Honghao, Zhang, Jialiang, Zhang, Jiawen, Zhang, Jie, Zhang, Jingbo, Zhang, Jinnan, ZHANG, Lei, Zhang, Mohan, Zhang, Peng, Zhang, Ping, Zhang, Qingmin, Zhang, Shiqi, Zhang, Shu, Zhang, Shuihan, Zhang, Siyuan, Zhang, Tao, Zhang, Xiaomei, Zhang, Xin, Zhang, Xuantong, Zhang, Yinhong, Zhang, Yiyu, Zhang, Yongpeng, Zhang, Yu, Zhang, Yuanyuan, Zhang, Yumei, Zhang, Zhenyu, Zhang, Zhijian, Zhao, Jie, Zhao, Rong, Zhao, Runze, Zhao, Shujun, Zheng, Dongqin, Zheng, Hua, Zheng, Yangheng, Zhong, Weirong, Zhou, Jing, Zhou, Li, Zhou, Nan, Zhou, Shun, Zhou, Tong, Zhou, Xiang, Zhu, Jingsen, Zhu, Kangfu, Zhu, Kejun, Zhu, Zhihang, Zhuang, Bo, Zhuang, Honglin, Zong, Liang, Zou, Jiaheng, Züfle, Jan, and null, null
Abstract: The core-collapse supernova (CCSN) is considered one of the most energetic astrophysical events in the universe. The early and prompt detection of neutrinos before (pre-SN) and during the supernova (SN) burst presents a unique opportunity for multi-messenger observations of CCSN events. In this study, we describe the monitoring concept and present the sensitivity of the system to pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), a 20 kton liquid scintillator detector currently under construction in South China. The real-time monitoring system is designed to ensure both prompt alert speed and comprehensive coverage of progenitor stars. It incorporates prompt monitors on the electronic board as well as online monitors at the data acquisition stage. Assuming a false alert rate of 1 per year, this monitoring system exhibits sensitivity to pre-SN neutrinos up to a distance of approximately 1.6 (0.9) kiloparsecs and SN neutrinos up to about 370 (360) kiloparsecs for a progenitor mass of 30 solar masses, considering both normal and inverted mass ordering scenarios. The pointing ability of the CCSN is evaluated by analyzing the accumulated event anisotropy of inverse beta decay interactions from pre-SN or SN neutrinos. This, along with the early alert, can play a crucial role in facilitating follow-up multi-messenger observations of the next galactic or nearby extragalactic CCSN.
Published: 2024

29. Correlation Between Serum Tumor Marker Levels and Connective Tissue Disease-Related Interstitial Lung Disease

Author: Bao Y, Zhang W, Shi D, Bai W, He D, and Wang D
Subjects: connective tissue disease, tumor markers, interstitial lung disease, Medicine (General), R5-920
Abstract: Yunqi Bao,1 Wei Zhang,1 Dandan Shi,2 Weili Bai,1 Dongdong He,1 Dan Wang1 1Department of Rheumatology, Xi’an Fifth Hospital, Xian, 710000, Shaanxi, People’s Republic of China; 2Department of Radiology, Xi’an Fifth Hospital, Xian, 710000, Shaanxi, People’s Republic of ChinaCorrespondence: Dan WangDepartment of Rheumatology, Xi’an Fifth Hospital, 112 Xiguanzheng Street, Lianhu District, Xian, 710000, Shaanxi, People’s Republic of ChinaEmail wdtougao2021@163.comObjective: The main aims of this study were to explore the relationships between serum tumor markers and connective tissue disease-related interstitial lung disease (CTD-ILD) and to evaluate the clinical value of tumor markers for investigating interstitial lung disease (ILD) in patients with connective tissue disease (CTD).Methods: The study included 235 patients with CTD (90 CTD without ILDs, 145 CTD-ILD). Clinical information and the levels of inflammatory and tumor markers, including carbohydrate antigen (CA) 19– 9, CA125, carcinoembryonic antigen (CEA), CA153, and cytokeratin 19 fragments (CYFRA21-1), were obtained in all the patients.Results: A significant difference between CTD with or without ILD and higher levels of tumor markers was observed in the CTD-ILD group, including CA19-9 (p< 0.001), CEA (p< 0.001), CA153 (p< 0.001), and CYFRA21-1 (p< 0.001). There was no significant difference in serum tumor marker levels in the various types of CTD (rheumatoid arthritis, systemic lupus erythematosus, Sjogren’s syndrome, inflammatory myositis, systemic sclerosis, and mixed connective tissue disease). The levels of CA153 [odds ratio (OR)=1.159] and CYFRA21-1 (OR=2.269) were clearly related to the risk of CTD-ILD. The diagnostic value of CA153 [area under receiver operating characteristic curve (AUC)=0.736] and CYFRA21-1 (AUC=0.718) was confirmed for ILDs in CTD patients, at cut-off values of 9.45 U/mL and 2.13 ng/mL, respectively.Conclusion: There is a positive correlation between serum tumor marker levels and CTD-ILD. Higher levels of CA153 and CYFRA21-1 suggest an increased risk of developing ILD and may therefore be useful as biomarkers for detecting CTD-ILD in the clinical setting.Keywords: connective tissue disease, tumor markers, interstitial lung disease
Published: 2021

30. HOXA9 Expression is Associated with Advanced Tumour Stage and Prognosis in Nasopharyngeal Carcinoma

Author: Liu T, Ji C, Sun Y, and Bai W
Subjects: hoxa9, nasopharyngeal carcinoma, npc, prognosis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Tiancong Liu,1 Chao Ji,2 Yang Sun,1 Weiliang Bai1 1Department of Otorhinolaryngology-Head and Neck Surgery, Shengjing Hospital, China Medical University, Shenyang, People’s Republic of China; 2Department of Clinical Epidemiology, Shengjing Hospital, China Medical University, Shenyang, People’s Republic of ChinaCorrespondence: Weiliang BaiShengjing Hospital, China Medical University, 36 Sanhao Street, Heping District, Shenyang, Liaoning, 110004, People’s Republic of ChinaEmail bweiliangcmu@163.comBackground: Homeobox A9 (HOXA9), a member of the HOX protein family, plays diverse biological roles in embryonic development and carcinogenesis. The prognostic value of HOXA9 expression in nasopharyngeal carcinoma (NPC) is not well-defined. The present study aimed to analyse NPC tissue HOXA9 expression and determine prognostic significance by investigating the relationship between HOXA9 expression and clinicopathologic features.Methods: Between January 2010 and December 2014, 252 NPC patients and 30 chronic nasopharyngitis patients (control group) were recruited to participate in the present study. Correlations between HOXA9 expression level and clinicopathologic features (including survival) were analysed.Results: High HOXA9 expression was significantly associated with clinical stage (p < 0.01) and higher T stage (p < 0.01). In univariate analysis, high HOXA9 expression predicted overall survival (OS) (p = 0.011). In multivariate analysis, HOXA9 over-expression independently and significantly predicted poorer PFS (p < 0.01, hazard ratio (HR) = 2.387, 95% CI [0.876, 6.545]) and OS (p < 0.01, HR = 2.486, 95% CI [1.041, 8.926]).Conclusion: High HOXA9 expression is an independent prognostic factor associated with advanced tumour stage and poorer survival in NPC patients.Keywords: HOXA9, nasopharyngeal carcinoma, NPC, prognosis
Published: 2021

31. LDL-C and Total Stent Length are Independent Predictors of Periprocedural Myocardial Injury and Infarction for Unstable Angina Patients Undergoing Elective Percutaneous Coronary Intervention

Author: Chen X, Rong C, Qi P, Bai W, Yao W, Zhang Y, and Dang Y
Subjects: low-density lipoprotein cholesterol, percutaneous coronary intervention, prognosis, stent length, myocardial injury and infarction, Medicine (General), R5-920
Abstract: Xuefeng Chen,1 Chunli Rong,1 Peng Qi,1 Wenlou Bai,1 Wenjing Yao,1 Yantao Zhang,2 Yi Dang1 1Department of Cardiovascular Internal Medicine, Hebei General Hospital, Shijiazhuang, 050000, People’s Republic of China; 2Department of Cardiovascular Internal Medicine, HanDan Central Hospital, Handan, 056001, People’s Republic of ChinaCorrespondence: Yi Dang Tel +86-13831198826Email dangyiemail@126.comBackground: To investigate the predictive value of low-density lipoprotein cholesterol (LDL-C), total stent length and number of implanted stents in patients with unstable angina (UA) regarding myocardial injury and infarction during perioperative period.Methods: Three hundred and fifteen consecutive UA patients between January 2015 and June 2018 were retrospectively recruited from two cardiac centers of Hebei Province, China. These patients had normal preprocedural cardiac troponin I (cTnI) and underwent uneventful revascularizations. The predictive value of baseline LDL-C level and total stent length was investigated by linking to post procedural cTnI value in this cohort. Meanwhile, other related clinical and procedural variables were analyzed.Results: Baseline LDL-C level or LDL-C grade was correlated with post percutaneous coronary intervention (PCI) cTnI levels (r = 0.120, P = 0.01; r = 0.157, P = 0.004). LDL-C grade was an independent risk factor of perioperative myocardial injury and infarction (P < 0.05) after multivariable adjustment. The risk increased with the elevation of baseline LDL-C level. Compared to the lowest level group (< 70 mg/dl), the group with 70– 99 mg/dl carried three times higher risk (OR = 3.318; 95% CI: 1.167– 9.436; P < 0.05). And, patients with LDL-C level ≥ 100 mg/dl had the worst prognosis (OR = 4.783; 95% CI: 1.736– 13.180; P = 0.002). Besides, the study also found that the total length of stent was predictive of perioperative myocardial injury and infarction independently (OR = 1.037; 95% CI: 1.017– 1.058; P = 0.001).Conclusion: Baseline LDL-C level and total stent length were independent predictors of periprocedural myocardial injury and infarction in UA patients undergoing elective PCI.Keywords: low-density lipoprotein cholesterol, percutaneous coronary intervention, prognosis, stent length, myocardial injury and infarction
Published: 2021

32. Biliverdin Protects Against Cerebral Ischemia/Reperfusion Injury by Regulating the miR-27a-3p/Rgs1 Axis

Author: Li J, Peng L, Bai W, Peng P, Chen W, Yang W, and Shao J
Subjects: cerebral ischemia/reperfusion, biliverdin, mir-27a-3p, rgs1, inflammation, apoptosis, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract: Junjie Li,* Lijia Peng,* Wenya Bai, Peihua Peng, Wendong Chen, Wei Yang, Jianlin Shao Department of Anesthesiology, First Affiliated Hospital, Kunming Medical University, Kunming City, 650032, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianlin ShaoDepartment of Anesthesiology, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Wuhua, Kunming, Yunnan, 650000, People’s Republic of ChinaTel +86-871-6532488-2755Email cmushaojlmz@163.comBackground: We have previously demonstrated that biliverdin has neuroprotective effects that ameliorate cerebral ischemia/reperfusion (I/R) injury in rats. However, the underlying mechanism is unknown. This study aimed at elucidating on the modulatory role of miR-27a-3p on Rgs1 as a mechanism by which biliverdin affects cerebral I/R injury.Methods: Middle cerebral artery occlusion/reperfusion (MCAO/R) was used to establish I/R rat models while oxygen glucose deprivation/reoxygenation (OGD/R) was used to induce hippocampal neurons to establish I/R models in vitro. Infarct volume was assessed by TTC staining. Apoptotic analyses of ischemic cortical neurons and cells were performed by TUNEL staining and flow cytometry, respectively. Cell viability was assessed by the CCK-8 assay while the target of miR-27a-3p was determined by double luciferase reporter assay. Relative expression levels of miR-27a-3p and Rgs1 (in vivo and in vitro) as well as markers of inflammation and apoptosis (in vitro) were detected by RT-qPCR. Then, Elisa and western blot were used to assess protein expression levels of inflammatory and apoptotic markers in vitro.Results: Biliverdin suppressed inflammation and apoptosis in hippocampal neurons upon OGD/R, and reduced cerebral infarction volume as well as apoptosis in the MCAO/R rat model. Furthermore, biliverdin upregulated miR-27a-3p and downregulated hippocampal neuron Rgs1 after OGD/R as well as in rat brain tissues after cerebral I/R. Bioinformatic analysis revealed an miR-27a-3p docking site in the 3ʹ-UTR region of Rgs1. Luciferase reporter assays showed that Rgs1 is an miR-27a-3p target. Moreover, miR-27a-3p upregulation inhibited OGD/R-triggered inflammation and suppressed neuronal apoptosis. Rgs1 knockdown suppressed OGD/R-triggered inflammation and decreased neuronal apoptosis while miR-27a-3p downregulation reversed the protective effect of Rgs1 knockdown. Moreover, miR-27a-3p overexpression and Rgs1 silencing suppressed NF-κB (p65) expression.Conclusion: Biliverdin protects against cerebral I/R injury by regulating the miR-27a-3p/Rgs1 axis, thereby inhibiting inflammation and apoptosis.Keywords: cerebral ischemia/reperfusion, biliverdin, miR-27a-3p, Rgs1, inflammation, apoptosis
Published: 2021

33. A novel soil manganese mechanism drives plant species loss with increased nitrogen deposition in a temperate steppe

Author: Tian, Q, Liu, N, Bai, W, Li, L, Chen, J, Reich, PB, Yu, Q, Guo, D, Smith, MD, Knapp, AK, Cheng, W, Lu, P, Gao, Y, Yang, A, Wang, T, Li, X, Wang, Z, Ma, Y, Han, X, and Zhang, WH
Subjects: Ecology, Ecological Applications, Evolutionary Biology
Abstract: Loss of plant diversity with increased anthropogenic nitrogen (N) deposition in grasslands has occurred globally. In most cases, competitive exclusion driven by preemption of light or space is invoked as a key mechanism. Here, we provide evidence from a 9- yr N- addition experiment for an alternative mechanism: differential sensitivity of forbs and grasses to increased soil manganese (Mn) levels. In Inner Mongolia steppes, increasing the N supply shifted plant community composition from grass-forb codominance (primarily Stipa krylovii and Artemisia frigida, respectively) to exclusive dominance by grass, with associated declines in overall species richness. Reduced abundance of forbs was linked to soil acidification that increased mobilization of soil Mn, with a 10- fold greater accumulation of Mn in forbs than in grasses. The enhanced accumulation of Mn in forbs was correlated with reduced photosynthetic rates and growth, and is consistent with the loss of forb species. Differential accumulation of Mn between forbs and grasses can be linked to fundamental differences between dicots and monocots in the biochemical pathways regulating metal transport. These findings provide a mechanistic explanation for N- induced species loss in temperate grasslands by linking metal mobilization in soil to differential metal acquisition and impacts on key functional groups in these ecosystems.
Published: 2016

34. Postoperative Short-term Outcomes Between Sublobar Resection and Lobectomy in Patients with Lung Adenocarcinoma

Author: Zhang J, Bai W, Guo C, Liu L, Wang G, Huang C, Chen Y, Zhang Y, and Li S
Subjects: lung adenocarcinoma, lobectomy, sublobar resection, short-term outcome, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Jiaqi Zhang ,* Wenliang Bai ,* Chao Guo, Lei Liu, Guige Wang, Cheng Huang, Yeye Chen, Ye Zhang, Shanqing Li Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shanqing Li Tel +86 13121971623Fax +86 1069152630Email 13121971623@163.comBackground: To investigate postoperative temporary consequences of the enrolled patients with lung adenocarcinoma.Patients and Methods: We analyzed the clinical data of patients with lung adenocarcinoma admitted by the same surgical team of Peking Union Medical College Hospital (PUMCH) from July 2019 to December 2019. Statistical methods including propensity score matching (PSM) analysis was used to analyze the differences among them.Results: A total of 108 patients were enrolled, including 50 patients with sublobar resection and 58 patients with lobectomy. Before PSM, there were statistically significant differences in age (p=0.015), hospitalization costs (p=0.042), lymphadenectomy (p=0.000), pathological staging (p=0.000), number of lymph nodes removed (p=0.000), number of positive lymph nodes (p=0.034), chest drainage duration (p=0.000), total chest drainage (p=0.000), length of postoperative hospital stays (p=0.000), postoperative D-dimer level (p=0.030) and perioperative lymphocyte margin (LM) (p=0.003) between sublobar resection and lobectomy. After PSM, there were statistical differences in number of lymph nodes removed (p=0.000), chest drainage duration (p=0.031) and total chest drainage (p=0.002) between sublobar resection and lobectomy. Whether with PSM analysis or not, there were no significant differences in other blood test results, such as inflammation indicators, postoperative neutrophil-lymphocyte ratio (NLR), albumin level, perioperative activity of daily living (ADL) scale scoring margin, complications, postoperative admission to intensive care unit (ICU) and readmission within 30 days. NLR was associated with total chest drainage (p=0.000), length of postoperative hospital stays (p=0.000), postoperative D-dimer level (p=0.050) and ADL scale scoring margin (p=0.003) between sublobar resection and lobectomy.Conclusion: Sublobar resection, including wedge resection and segmentectomy, was as safe and feasible as lobectomy in our study, and they shared similar short-term outcomes. Postoperative NLR could be used to detect the clinical outcomes of patients. Secondary resectability of pulmonary function (SRPF) should be the main purpose of sublobar resection.Keywords: lung adenocarcinoma, lobectomy, sublobar resection, short-term outcome
Published: 2020

35. GABAergic Inhibition of Spinal Cord Dorsal Horns Contributes to Analgesic Effect of Electroacupuncture in Incisional Neck Pain Rats

Author: Wang J, Bai W, Gao Y, Zhang J, Duanmu C, and Liu J
Subjects: electoacupuncture analgesia, incisional neck pain, dorsal horn of spinal cord, gaba, gliacytes, Medicine (General), R5-920
Abstract: Jun-ying Wang,1 Wan-zhu Bai,2 Yong-hui Gao,1 Jian-liang Zhang,1 Cheng-lin Duanmu,1 Jun-ling Liu1 1Department of Physiology, Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing 100700, People’s Republic of China; 2Laboratory for Architecture of Acupoints, Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing 100700, People’s Republic of ChinaCorrespondence: Jun-ling Liu; Jun-ying Wang Tel +86-10-64089409; +86-10-64089419Email 13521898023@163.com; wjyanguning@aliyun.comBackground: Acupuncture has shown to be effective in relieving post-surgical pain. Nonetheless, its underlying mechanisms remain largely unknown. In the present study, we investigated the effect of electroacupuncture (EA) on the expression of GABA, GABA-A receptor (R) and GABA-BR in the spinal cord dorsal horns (DHs), and the involved neural cells in rats with incisional neck pain.Materials and Methods: Male SD rats were randomly divided into control, model, Futu (LI18), Hegu-Neiguan (LI4-PC6), and Zusanli-Yanglingquan (ST36-GB34) groups. The incisional neck pain model was established by making a longitudinal incision and repeated mechanical separation along the thyroid gland region. EA (2Hz/100Hz, 1mA) was applied to LI18, LI4-PC6, ST36-GB34 separately for 30min, once at 4, 24 and 48h after incision. The local thermal pain threshold (TPT) of the focus was measured and the expression of GABA, and GABAR proteins and mRNAs detected by immunofluorescence stain and quantitative RT-PCR, respectively.Results: The analgesic effect of LI18 and LI4-PC6 was superior to that of ST36-GB34 in incisional neck pain rats. Moreover, the EA stimulation of LI18 or LI4-PC6 increased the expression of GABA and GABA-Aα 2 and GABA-Aβ 3, GABA-B1, and GABA-B2 mRNAs in spinal DHs 4h after surgery, while GABA-A and GABA-B antagonists inhibited the analgesic effect of LI18. Immunofluorescence double staining showed that GABA was expressed on astrocytes and neurons, and GABA-B expressed only on neurons.Conclusion: EA of both LI18 and LI4-PC6 has a good analgesic effect in incisional neck pain rats, which is closely related to their effects in upregulating the expression of GABA and its receptors in spinal DHs. The effects of LI18 and LI4-PC6 EA are obviously better that those of ST36-GB34 EA, and GABA is expressed on neurons and astrocytes.Keywords: electroacupuncture analgesia, incisional neck pain, dorsal horn of spinal cord, GABA, gliacytes
Published: 2020

36. Identification of Candidate Genes and Therapeutic Agents for Light Chain Amyloidosis Based on Bioinformatics Approach

Author: Bai W, Wang H, and Bai H
Subjects: light chain amyloidosis, bioinformatics approach, differentially expressed genes, candidate genes, therapeutic agent, Therapeutics. Pharmacology, RM1-950
Abstract: Wenxiang Bai,1,2,* Honghua Wang,1,* Hua Bai1,3 1Comprehensive Cancer Center, Xiangshui People’s Hospital, Xiangshui 224600, People’s Republic of China; 2Department of Respiratory Medicine, Xiangshui People’s Hospital, Xiangshui, 224600, People’s Republic of China; 3Department of Hematology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hua BaiComprehensive Cancer Center, Xiangshui People’s Hospital, Xiangshui 224600, People’s Republic of ChinaEmail baihua92@126.comObjective: Systemic amyloid light chain (AL) amyloidosis is a rare plasma cell disease. However, the regulatory mechanisms of AL amyloidosis have not been thoroughly uncovered, identification of candidate genes and therapeutic agents for this disease is crucial to provide novel insights into exploring the regulatory mechanisms underlying AL amyloidosis.Methods: The gene expression profile of GSE73040, including 9 specimens from AL amyloidosis patients and 5 specimens from normal control, was downloaded from GEO datasets. Differentially expressed genes (DEGs) were sorted with regard to AL amyloidosis versus normal control group using Limma package. The gene enrichment analyses including GO and KEGG pathway were performed using DAVID website subsequently. Furthermore, the protein–protein interaction (PPI) network for DEGs was constructed by Cytoscape software and STRING database. DEGs were mapped to the connectivity map datasets to identify potential molecular agents of AL amyloidosis.Results: A total of 1464 DEGs (727 up-regulated, 737 down-regulated) were identified in AL amyloidosis samples versus control samples, these dysregulated genes were associated with the dysfunction of ribosome biogenesis and immune response. PPI network and module analysis uncovered that several crucial genes were defined as candidate genes, including ITGAM, ITGB2, ITGAX, IMP3 and FBL. More importantly, we identified the small molecular agents (AT-9283, Ritonavir and PKC beta-inhibitor) as the potential drugs for AL amyloidosis.Conclusion: Using bioinformatics approach, we have identified candidate genes and pathways in AL amyloidosis, which can extend our understanding of the cause and molecular mechanisms, and these crucial genes and pathways could act as biomarkers and therapeutic targets for AL amyloidosis.Keywords: light chain amyloidosis, bioinformatics approach, differentially expressed genes, candidate genes, therapeutic agent
Published: 2020

37. JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo

Author: Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, Alexandros, T, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de Andre, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Bergnoli, A, Birkenfeld, T, Blin, S, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callegari, R, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Chan, C, Chang, J, Chang, Y, Chen, G, Chen, P, Chen, S, Chen, X, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chetverikov, A, Chiesa, D, Chimenti, P, Chu, Z, Chukanov, A, Claverie, G, Clementi, C, Clerbaux, B, Di Lorenzo, S, Corti, D, Corso, F, Dalager, O, De La Taille, C, Deng, Z, Depnering, W, Diaz, M, Ding, X, Ding, Y, Dirgantara, B, Dmitrievsky, S, Dohnal, T, Dolzhikov, D, Donchenko, G, Dong, J, Doroshkevich, E, Dou, W, Dracos, M, Druillole, F, Du, R, Du, S, Dusini, S, Dvorak, M, Eck, J, Enqvist, T, Fabbri, A, Fahrendholz, U, Fan, D, Fan, L, Fang, J, Fang, W, Fargetta, M, Fedoseev, D, Fei, Z, Feng, L, Feng, Q, Ferraro, F, Ford, R, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gavrikov, A, Giammarchi, M, Giudice, N, Gonchar, M, Gong, G, Gong, H, Gornushkin, Y, Gottel, A, Grassi, M, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guan, Y, Guardone, N, Guo, C, Guo, J, Guo, W, Guo, X, Guo, Y, Hagner, C, Han, R, Han, Y, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Y, Hu, Z, Huang, G, Huang, H, Huang, K, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Ioannisian, A, Isocrate, R, Jelmini, B, Jeria, I, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, D, Jiang, W, Jiang, X, Jing, X, Jollet, C, Joutsenvaara, J, Kalousis, L, Kampmann, P, Kang, L, Karaparambil, R, Kazarian, N, Khatun, A, Khosonthongkee, K, Korablev, D, Kouzakov, K, Krasnoperov, A, Kutovskiy, N, Kuusiniemi, P, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, G, Li, H, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liao, J, Limphirat, A, Lin, G, Lin, S, Lin, T, Ling, J, Lippi, I, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, P, Lu, S, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Lukanov, A, Luo, D, Luo, F, Luo, G, Luo, S, Luo, W, Luo, X, Lyashuk, V, Ma, B, Ma, Q, Ma, S, Ma, X, Maalmi, J, Magoni, M, Mai, J, Malyshkin, Y, Mandujano, R, Mantovani, F, Mao, X, Mao, Y, Mari, S, Marini, F, Martellini, C, Martin-Chassard, G, Martini, A, Mayer, M, Mayilyan, D, Mednieks, I, Meinusch, A, Meng, Y, Meregaglia, A, Meroni, E, Meyhofer, D, Mezzetto, M, Miller, J, Miramonti, L, Molla, M, Montini, P, Montuschi, M, Muller, A, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Thi, M, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Othegraven, R, Paoloni, A, Parmeggiano, S, Pei, Y, Pelicci, L, Pelliccia, N, Peng, A, Peng, H, Peng, Y, Peng, Z, Perrot, F, Petitjean, P, Petrucci, F, Pilarczyk, O, Rico, L, Popov, A, Poussot, P, Previtali, E, Qi, F, Qi, M, Qian, S, Qian, X, Qian, Z, Qiao, H, Qin, Z, Qiu, S, Ranucci, G, Raper, N, Rasheed, R, Re, A, Rebber, H, Rebii, A, Redchuk, M, Ren, B, Ren, J, Ricci, B, Rifai, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Ruan, X, Rybnikov, A, Sadovsky, A, Saggese, P, Sanfilippo, S, Sangka, A, Sawangwit, U, Sawatzki, J, Schever, M, Schwab, C, Schweizer, K, Selyunin, A, Serafini, A, Settanta, G, Settimo, M, Shao, Z, Sharov, V, Shaydurova, A, Shi, J, Shi, Y, Shutov, V, Sidorenkov, A, Simkovic, F, Sirignano, C, Siripak, J, Sisti, M, Slupecki, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Sokolov, S, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Sramek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Stefanik, D, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Su, J, Sun, S, Sun, X, Sun, Y, Sun, Z, Suwonjandee, N, Szelezniak, M, Tang, J, Tang, Q, Tang, X, Hariharan, V, Theisen, E, Tietzsch, A, Tkachev, I, Tmej, T, Torri, M, Treskov, K, Triossi, A, Troni, G, Trzaska, W, Tuve, C, Ushakov, N, Vedin, V, Verde, G, Vialkov, M, Viaud, B, Vollbrecht, C, Volpe, C, Sturm, K, Vorobel, V, Voronin, D, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Weng, Y, Wang, Z, Watcharangkool, A, Wei, W, Wei, Y, Wen, K, Wen, L, Weng, J, Wiebusch, C, Wong, S, Wonsak, B, Wu, D, Wu, Q, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, X, Xie, X, Xie, Y, Xie, Z, Xin, Z, Xing, Z, Xu, B, Xu, C, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, Y, Yan, B, Yan, Q, Yan, T, Yan, W, Yan, X, Yan, Y, Yang, C, Yang, H, Yang, J, Yang, L, Yang, X, Yang, Y, Yeng, Y, Yao, H, Ye, J, Ye, M, Ye, Z, Yermia, F, You, Z, Yu, B, Yu, C, Yu, H, Yu, M, Yu, X, Yu, Z, Yuan, C, Yuan, Y, Yuan, Z, Yue, B, Zafar, N, Zavadskyi, V, Zeng, S, Zeng, T, Zeng, Y, Zhan, L, Zhang, A, Zhang, B, Zhang, F, Zhang, G, Zhang, H, Zhang, J, Zhang, M, Zhang, P, Zhang, Q, Zhang, S, Zhang, T, Zhang, X, Zhang, Y, Zhang, Z, Zhao, F, Zhao, J, Zhao, R, Zhao, S, Zheng, D, Zheng, H, Zheng, Y, Zhong, W, Zhou, J, Zhou, L, Zhou, N, Zhou, S, Zhou, T, Zhou, X, Zhu, J, Zhu, K, Zhu, Z, Zhuang, B, Zhuang, H, Zong, L, Zou, J, Zwickel, S, Abusleme A., Adam T., Ahmad S., Ahmed R., Aiello S., Akram M., Aleem A., Alexandros T., An F., An Q., Andronico G., Anfimov N., Antonelli V., Antoshkina T., Asavapibhop B., de Andre J. P. A. M., Auguste D., Bai W., Balashov N., Baldini W., Barresi A., Basilico D., Baussan E., Bellato M., Bergnoli A., Birkenfeld T., Blin S., Blum D., Blyth S., Bolshakova A., Bongrand M., Bordereau C., Breton D., Brigatti A., Brugnera R., Bruno R., Budano A., Busto J., Cabrera A., Caccianiga B., Cai H., Cai X., Cai Y., Cai Z., Callegari R., Cammi A., Campeny A., Cao C., Cao G., Cao J., Caruso R., Cerna C., Chan C., Chang J., Chang Y., Chen G., Chen P., Chen P. -A., Chen S., Chen X., Chen Y., Chen Z., Cheng J., Cheng Y., Cheng Y. C., Chetverikov A., Chiesa D., Chimenti P., Chu Z., Chukanov A., Claverie G., Clementi C., Clerbaux B., Di Lorenzo S. C., Corti D., Corso F. D., Dalager O., De La Taille C., Deng Z., Depnering W., Diaz M., Ding X., Ding Y., Dirgantara B., Dmitrievsky S., Dohnal T., Dolzhikov D., Donchenko G., Dong J., Doroshkevich E., Dou W., Dracos M., Druillole F., Du R., Du S., Dusini S., Dvorak M., Eck J., Enqvist T., Fabbri A., Fahrendholz U., Fan D., Fan L., Fang J., Fang W., Fargetta M., Fedoseev D., Fei Z., Feng L. -C., Feng Q., Ferraro F., Ford R., Fournier A., Gan H., Gao F., Garfagnini A., Gavrikov A., Giammarchi M., Giudice N., Gonchar M., Gong G., Gong H., Gornushkin Y., Gottel A., Grassi M., Gromov V., Gu M., Gu X., Gu Y., Guan M., Guan Y., Guardone N., Guo C., Guo J., Guo W., Guo X., Guo Y., Hagner C., Han R., Han Y., He M., He W., Heinz T., Hellmuth P., Heng Y., Herrera R., Hor Y., Hou S., Hsiung Y., Hu B. -Z., Hu H., Hu J., Hu S., Hu T., Hu Y., Hu Z., Huang G., Huang H., Huang K., Huang W., Huang X., Huang Y., Hui J., Huo L., Huo W., Huss C., Hussain S., Ioannisian A., Isocrate R., Jelmini B., Jeria I., Ji X., Jia H., Jia J., Jian S., Jiang D., Jiang W., Jiang X., Jing X., Jollet C., Joutsenvaara J., Kalousis L., Kampmann P., Kang L., Karaparambil R., Kazarian N., Khatun A., Khosonthongkee K., Korablev D., Kouzakov K., Krasnoperov A., Kutovskiy N., Kuusiniemi P., Lachenmaier T., Landini C., Leblanc S., Lebrin V., Lefevre F., Lei R., Leitner R., Leung J., Li D., Li F., Li G., Li H., Li M., Li N., Li Q., Li R., Li S., Li T., Li W., Li X., Li Y., Li Z., Liang H., Liao J., Limphirat A., Lin G. -L., Lin S., Lin T., Ling J., Lippi I., Liu F., Liu H., Liu J., Liu M., Liu Q., Liu R., Liu S., Liu X., Liu Y., Lokhov A., Lombardi P., Lombardo C., Loo K., Lu C., Lu H., Lu J., Lu P., Lu S., Lubsandorzhiev B., Lubsandorzhiev S., Ludhova L., Lukanov A., Luo D., Luo F., Luo G., Luo S., Luo W., Luo X., Lyashuk V., Ma B., Ma Q., Ma S., Ma X., Maalmi J., Magoni M., Mai J., Malyshkin Y., Mandujano R. C., Mantovani F., Mao X., Mao Y., Mari S. M., Marini F., Martellini C., Martin-Chassard G., Martini A., Mayer M., Mayilyan D., Mednieks I., Meinusch A., Meng Y., Meregaglia A., Meroni E., Meyhofer D., Mezzetto M., Miller J., Miramonti L., Molla M. C., Montini P., Montuschi M., Muller A., Nastasi M., Naumov D. V., Naumova E., Navas-Nicolas D., Nemchenok I., Thi M. T. N., Ning F., Ning Z., Nunokawa H., Oberauer L., Ochoa-Ricoux J. P., Olshevskiy A., Orestano D., Ortica F., Othegraven R., Paoloni A., Parmeggiano S., Pei Y., Pelicci L., Pelliccia N., Peng A., Peng H., Peng Y., Peng Z., Perrot F., Petitjean P. -A., Petrucci F., Pilarczyk O., Rico L. F. P., Popov A., Poussot P., Previtali E., Qi F., Qi M., Qian S., Qian X., Qian Z., Qiao H., Qin Z., Qiu S., Ranucci G., Raper N., Rasheed R., Re A., Rebber H., Rebii A., Redchuk M., Ren B., Ren J., Ricci B., Rifai M., Roche M., Rodphai N., Romani A., Roskovec B., Ruan X., Rybnikov A., Sadovsky A., Saggese P., Sanfilippo S., Sangka A., Sawangwit U., Sawatzki J., Schever M., Schwab C., Schweizer K., Selyunin A., Serafini A., Settanta G., Settimo M., Shao Z., Sharov V., Shaydurova A., Shi J., Shi Y., Shutov V., Sidorenkov A., Simkovic F., Sirignano C., Siripak J., Sisti M., Slupecki M., Smirnov M., Smirnov O., Sogo-Bezerra T., Sokolov S., Songwadhana J., Soonthornthum B., Sotnikov A., Sramek O., Sreethawong W., Stahl A., Stanco L., Stankevich K., Stefanik D., Steiger H., Steinmann J., Sterr T., Stock M. R., Strati V., Studenikin A., Su J., Sun S., Sun X., Sun Y., Sun Z., Suwonjandee N., Szelezniak M., Tang J., Tang Q., Tang X., Hariharan V. T., Theisen E., Tietzsch A., Tkachev I., Tmej T., Torri M. D. C., Treskov K., Triossi A., Troni G., Trzaska W., Tuve C., Ushakov N., Vedin V., Verde G., Vialkov M., Viaud B., Vollbrecht C. M., Volpe C., Sturm K. V., Vorobel V., Voronin D., Votano L., Walker P., Wang C., Wang C. -H., Wang E., Wang G., Wang J., Wang L., Wang M., Wang R., Wang S., Wang W., Wang X., Wang Y., Weng Y., Wang Z., Watcharangkool A., Wei W., Wei Y., Wen K., Wen L., Weng J., Wiebusch C., Wong S. C. -F., Wonsak B., Wu D., Wu Q., Wu Z., Wurm M., Wurtz J., Wysotzki C., Xi Y., Xia D., Xiao X., Xie X., Xie Y., Xie Z., Xin Z., Xing Z., Xu B., Xu C., Xu D., Xu F., Xu H., Xu J., Xu M., Xu Y., Yan B., Yan Q., Yan T., Yan W., Yan X., Yan Y., Yang C., Yang H., Yang J., Yang L., Yang X., Yang Y., Yeng Y., Yao H., Ye J., Ye M., Ye Z., Yermia F., You Z., Yu B., Yu C., Yu H., Yu M., Yu X., Yu Z., Yuan C., Yuan Y., Yuan Z., Yue B., Zafar N., Zavadskyi V., Zeng S., Zeng T., Zeng Y., Zhan L., Zhang A., Zhang B., Zhang F., Zhang G., Zhang H., Zhang J., Zhang M., Zhang P., Zhang Q., Zhang S., Zhang T., Zhang X., Zhang Y., Zhang Z., Zhao F., Zhao J., Zhao R., Zhao S., Zheng D., Zheng H., Zheng Y., Zhong W., Zhou J., Zhou L., Zhou N., Zhou S., Zhou T., Zhou X., Zhu J., Zhu K., Zhu Z., Zhuang B., Zhuang H., Zong L., Zou J., Zwickel S., Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, Alexandros, T, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de Andre, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Bergnoli, A, Birkenfeld, T, Blin, S, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callegari, R, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Chan, C, Chang, J, Chang, Y, Chen, G, Chen, P, Chen, S, Chen, X, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chetverikov, A, Chiesa, D, Chimenti, P, Chu, Z, Chukanov, A, Claverie, G, Clementi, C, Clerbaux, B, Di Lorenzo, S, Corti, D, Corso, F, Dalager, O, De La Taille, C, Deng, Z, Depnering, W, Diaz, M, Ding, X, Ding, Y, Dirgantara, B, Dmitrievsky, S, Dohnal, T, Dolzhikov, D, Donchenko, G, Dong, J, Doroshkevich, E, Dou, W, Dracos, M, Druillole, F, Du, R, Du, S, Dusini, S, Dvorak, M, Eck, J, Enqvist, T, Fabbri, A, Fahrendholz, U, Fan, D, Fan, L, Fang, J, Fang, W, Fargetta, M, Fedoseev, D, Fei, Z, Feng, L, Feng, Q, Ferraro, F, Ford, R, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gavrikov, A, Giammarchi, M, Giudice, N, Gonchar, M, Gong, G, Gong, H, Gornushkin, Y, Gottel, A, Grassi, M, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guan, Y, Guardone, N, Guo, C, Guo, J, Guo, W, Guo, X, Guo, Y, Hagner, C, Han, R, Han, Y, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Y, Hu, Z, Huang, G, Huang, H, Huang, K, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Ioannisian, A, Isocrate, R, Jelmini, B, Jeria, I, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, D, Jiang, W, Jiang, X, Jing, X, Jollet, C, Joutsenvaara, J, Kalousis, L, Kampmann, P, Kang, L, Karaparambil, R, Kazarian, N, Khatun, A, Khosonthongkee, K, Korablev, D, Kouzakov, K, Krasnoperov, A, Kutovskiy, N, Kuusiniemi, P, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, G, Li, H, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liao, J, Limphirat, A, Lin, G, Lin, S, Lin, T, Ling, J, Lippi, I, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, P, Lu, S, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Lukanov, A, Luo, D, Luo, F, Luo, G, Luo, S, Luo, W, Luo, X, Lyashuk, V, Ma, B, Ma, Q, Ma, S, Ma, X, Maalmi, J, Magoni, M, Mai, J, Malyshkin, Y, Mandujano, R, Mantovani, F, Mao, X, Mao, Y, Mari, S, Marini, F, Martellini, C, Martin-Chassard, G, Martini, A, Mayer, M, Mayilyan, D, Mednieks, I, Meinusch, A, Meng, Y, Meregaglia, A, Meroni, E, Meyhofer, D, Mezzetto, M, Miller, J, Miramonti, L, Molla, M, Montini, P, Montuschi, M, Muller, A, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Thi, M, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Othegraven, R, Paoloni, A, Parmeggiano, S, Pei, Y, Pelicci, L, Pelliccia, N, Peng, A, Peng, H, Peng, Y, Peng, Z, Perrot, F, Petitjean, P, Petrucci, F, Pilarczyk, O, Rico, L, Popov, A, Poussot, P, Previtali, E, Qi, F, Qi, M, Qian, S, Qian, X, Qian, Z, Qiao, H, Qin, Z, Qiu, S, Ranucci, G, Raper, N, Rasheed, R, Re, A, Rebber, H, Rebii, A, Redchuk, M, Ren, B, Ren, J, Ricci, B, Rifai, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Ruan, X, Rybnikov, A, Sadovsky, A, Saggese, P, Sanfilippo, S, Sangka, A, Sawangwit, U, Sawatzki, J, Schever, M, Schwab, C, Schweizer, K, Selyunin, A, Serafini, A, Settanta, G, Settimo, M, Shao, Z, Sharov, V, Shaydurova, A, Shi, J, Shi, Y, Shutov, V, Sidorenkov, A, Simkovic, F, Sirignano, C, Siripak, J, Sisti, M, Slupecki, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Sokolov, S, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Sramek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Stefanik, D, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Su, J, Sun, S, Sun, X, Sun, Y, Sun, Z, Suwonjandee, N, Szelezniak, M, Tang, J, Tang, Q, Tang, X, Hariharan, V, Theisen, E, Tietzsch, A, Tkachev, I, Tmej, T, Torri, M, Treskov, K, Triossi, A, Troni, G, Trzaska, W, Tuve, C, Ushakov, N, Vedin, V, Verde, G, Vialkov, M, Viaud, B, Vollbrecht, C, Volpe, C, Sturm, K, Vorobel, V, Voronin, D, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Weng, Y, Wang, Z, Watcharangkool, A, Wei, W, Wei, Y, Wen, K, Wen, L, Weng, J, Wiebusch, C, Wong, S, Wonsak, B, Wu, D, Wu, Q, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, X, Xie, X, Xie, Y, Xie, Z, Xin, Z, Xing, Z, Xu, B, Xu, C, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, Y, Yan, B, Yan, Q, Yan, T, Yan, W, Yan, X, Yan, Y, Yang, C, Yang, H, Yang, J, Yang, L, Yang, X, Yang, Y, Yeng, Y, Yao, H, Ye, J, Ye, M, Ye, Z, Yermia, F, You, Z, Yu, B, Yu, C, Yu, H, Yu, M, Yu, X, Yu, Z, Yuan, C, Yuan, Y, Yuan, Z, Yue, B, Zafar, N, Zavadskyi, V, 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P. A. M., Auguste D., Bai W., Balashov N., Baldini W., Barresi A., Basilico D., Baussan E., Bellato M., Bergnoli A., Birkenfeld T., Blin S., Blum D., Blyth S., Bolshakova A., Bongrand M., Bordereau C., Breton D., Brigatti A., Brugnera R., Bruno R., Budano A., Busto J., Cabrera A., Caccianiga B., Cai H., Cai X., Cai Y., Cai Z., Callegari R., Cammi A., Campeny A., Cao C., Cao G., Cao J., Caruso R., Cerna C., Chan C., Chang J., Chang Y., Chen G., Chen P., Chen P. -A., Chen S., Chen X., Chen Y., Chen Z., Cheng J., Cheng Y., Cheng Y. C., Chetverikov A., Chiesa D., Chimenti P., Chu Z., Chukanov A., Claverie G., Clementi C., Clerbaux B., Di Lorenzo S. C., Corti D., Corso F. 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C., Mantovani F., Mao X., Mao Y., Mari S. M., Marini F., Martellini C., Martin-Chassard G., Martini A., Mayer M., Mayilyan D., Mednieks I., Meinusch A., Meng Y., Meregaglia A., Meroni E., Meyhofer D., Mezzetto M., Miller J., Miramonti L., Molla M. C., Montini P., Montuschi M., Muller A., Nastasi M., Naumov D. V., Naumova E., Navas-Nicolas D., Nemchenok I., Thi M. T. N., Ning F., Ning Z., Nunokawa H., Oberauer L., Ochoa-Ricoux J. P., Olshevskiy A., Orestano D., Ortica F., Othegraven R., Paoloni A., Parmeggiano S., Pei Y., Pelicci L., Pelliccia N., Peng A., Peng H., Peng Y., Peng Z., Perrot F., Petitjean P. -A., Petrucci F., Pilarczyk O., Rico L. F. 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C. -F., Wonsak B., Wu D., Wu Q., Wu Z., Wurm M., Wurtz J., Wysotzki C., Xi Y., Xia D., Xiao X., Xie X., Xie Y., Xie Z., Xin Z., Xing Z., Xu B., Xu C., Xu D., Xu F., Xu H., Xu J., Xu M., Xu Y., Yan B., Yan Q., Yan T., Yan W., Yan X., Yan Y., Yang C., Yang H., Yang J., Yang L., Yang X., Yang Y., Yeng Y., Yao H., Ye J., Ye M., Ye Z., Yermia F., You Z., Yu B., Yu C., Yu H., Yu M., Yu X., Yu Z., Yuan C., Yuan Y., Yuan Z., Yue B., Zafar N., Zavadskyi V., Zeng S., Zeng T., Zeng Y., Zhan L., Zhang A., Zhang B., Zhang F., Zhang G., Zhang H., Zhang J., Zhang M., Zhang P., Zhang Q., Zhang S., Zhang T., Zhang X., Zhang Y., Zhang Z., Zhao F., Zhao J., Zhao R., Zhao S., Zheng D., Zheng H., Zheng Y., Zhong W., Zhou J., Zhou L., Zhou N., Zhou S., Zhou T., Zhou X., Zhu J., Zhu K., Zhu Z., Zhuang B., Zhuang H., Zong L., Zou J., and Zwickel S.
Abstract: We discuss JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo via detecting inverse beta decay reactions of electron anti-neutrinos resulting from the annihilation. We study possible backgrounds to the signature, including the reactor neutrinos, diffuse supernova neutrino background, charged- and neutral-current interactions of atmospheric neutrinos, backgrounds from muon-induced fast neutrons and cosmogenic isotopes. A fiducial volume cut, as well as the pulse shape discrimination and the muon veto are applied to suppress the above backgrounds. It is shown that JUNO sensitivity to the thermally averaged dark matter annihilation rate in 10 years of exposure would be significantly better than the present-day best limit set by Super-Kamiokande and would be comparable to that expected by Hyper-Kamiokande.
Published: 2023

38. JUNO sensitivity to 7Be, pep, and CNO solar neutrinos

Author: Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, Alexandros, T, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de Andre, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Beretta, M, Bergnoli, A, Bick, D, Bieger, L, Biktemerova, S, Birkenfeld, T, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callier, S, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Cerrone, V, Chan, C, Chang, J, Chang, Y, Chen, C, Chen, G, Chen, P, Chen, S, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chepurnov, A, Chetverikov, A, Chiesa, D, Chimenti, P, Chu, Z, Chukanov, A, Claverie, G, Clementi, C, Clerbaux, B, Molla, M, Di Lorenzo, S, Coppi, A, Corti, D, Csakli, S, Dal Corso, F, Dalager, O, Datta, J, De La Taille, C, Deng, Z, Depnering, W, Ding, X, Ding, Y, Dirgantara, B, Dittrich, C, Dmitrievsky, S, Dohnal, T, Dolzhikov, D, Donchenko, G, Dong, J, Doroshkevich, E, Dou, W, Dracos, M, Druillole, F, Du, R, Du, S, Dugas, K, Dusini, S, Duyang, H, Eck, J, Enqvist, T, Fabbri, A, Fahrendholz, U, Fan, L, Fang, J, Fang, W, Fargetta, M, Fedoseev, D, Fei, Z, Feng, L, Feng, Q, Ferraro, F, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gavrikov, A, Giammarchi, M, Giudice, N, Gonchar, M, Gong, G, Gong, H, Gornushkin, Y, Gottel, A, Grassi, M, Gromov, M, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guan, Y, Guardone, N, Guo, C, Guo, W, Guo, X, Hagner, C, Han, R, Han, Y, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Y, Hu, Z, Huang, G, Huang, H, Huang, J, Huang, K, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Imbert, L, Ioannisian, A, Isocrate, R, Jelmini, B, Jeria, I, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, C, Jiang, D, Jiang, W, Jiang, X, Jing, X, Jollet, C, Kampmann, P, Kang, L, Karaparambil, R, Kazarian, N, Khan, A, Khatun, A, Khosonthongkee, K, Korablev, D, Kouzakov, K, Krasnoperov, A, Kuleshov, S, Kutovskiy, N, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, G, Li, H, Li, J, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liao, J, Limphirat, A, Lin, G, Lin, S, Lin, T, Ling, J, Ling, X, Lippi, I, Liu, C, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Liu, Z, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, P, Lu, S, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Lukanov, A, Luo, D, Luo, F, Luo, G, Luo, J, Luo, S, Luo, W, Luo, X, Lyashuk, V, Ma, B, Ma, Q, Ma, S, Ma, X, Maalmi, J, Magoni, M, Mai, J, Malyshkin, Y, Mandujano, R, Mantovani, F, Mao, X, Mao, Y, Mari, S, Marini, F, Martini, A, Mayer, M, Mayilyan, D, Mednieks, I, Meng, Y, Meraviglia, A, Meregaglia, A, Meroni, E, Meyhofer, D, Miramonti, L, Mohan, N, Montini, P, Montuschi, M, Muller, A, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Thi, M, Nikolaev, A, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Othegraven, R, Paoloni, A, Parmeggiano, S, Pei, Y, Pelicci, L, Peng, A, Peng, H, Peng, Y, Peng, Z, Perrot, F, Petitjean, P, Petrucci, F, Pilarczyk, O, Rico, L, Popov, A, Poussot, P, Previtali, E, Qi, F, Qi, M, Qi, X, Qian, S, Qian, X, Qian, Z, Qiao, H, Qin, Z, Qiu, S, Ranucci, G, Rasheed, R, Re, A, Rebii, A, Redchuk, M, Ren, B, Ren, J, Ricci, B, Rifai, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Ruan, X, Rybnikov, A, Sadovsky, A, Saggese, P, Sandanayake, D, Sanfilippo, S, Sangka, A, Sawangwit, U, Schever, M, Schwab, C, Schweizer, K, Selyunin, A, Serafini, A, Settimo, M, Sharov, V, Shaydurova, A, Shi, J, Shi, Y, Shutov, V, Sidorenkov, A, Simkovic, F, Singhal, A, Sirignano, C, Siripak, J, Sisti, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Sokolov, S, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Sramek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Su, J, Sun, S, Sun, X, Sun, Y, Sun, Z, Suwonjandee, N, Szelezniak, M, Takenaka, A, Tang, J, Tang, Q, Tang, X, Hariharan, V, Theisen, E, Tietzsch, A, Tkachev, I, Tmej, T, Torri, M, Tortorici, F, Treskov, K, Triossi, A, Triozzi, R, Trzaska, W, Tung, Y, Tuve, C, Ushakov, N, Vedin, V, Verde, G, Vialkov, M, Viaud, B, Vollbrecht, C, von Sturm, K, Vorobel, V, Voronin, D, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Wang, Z, Watcharangkool, A, Wei, W, Wei, Y, Wen, K, Wen, L, Weng, J, Wiebusch, C, Wirth, R, Wonsak, B, Wu, D, Wu, Q, Wu, Y, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, X, Xie, X, Xie, Y, Xie, Z, Xin, Z, Xing, Z, Xu, B, Xu, C, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, Y, Yan, B, Yan, Q, Yan, T, Yan, X, Yan, Y, Yang, C, Yang, J, Yang, L, Yang, X, Yang, Y, Yao, H, Ye, J, Ye, M, Ye, Z, Yermia, F, You, Z, Yu, B, Yu, C, Yu, G, Yu, H, Yu, M, Yu, X, Yu, Z, Yuan, C, Yuan, Y, Yuan, Z, Yue, B, Zafar, N, Zavadskyi, V, Zeng, S, Zeng, T, Zeng, Y, Zhan, L, Zhang, A, Zhang, B, Zhang, F, Zhang, H, Zhang, J, Zhang, M, Zhang, P, Zhang, Q, Zhang, S, Zhang, T, Zhang, X, Zhang, Y, Zhang, Z, Zhao, J, Zhao, R, Zhao, S, Zheng, D, Zheng, H, Zheng, Y, Zhong, W, Zhou, J, Zhou, L, Zhou, N, Zhou, S, Zhou, T, Zhou, X, Zhu, J, Zhu, K, Zhu, Z, Zhuang, B, Zhuang, H, Zong, L, Zou, J, Zufle, J, Zwickel, S, Abusleme A., Adam T., Ahmad S., Ahmed R., Aiello S., Akram M., Aleem A., Alexandros T., An F., An Q., Andronico G., Anfimov N., Antonelli V., Antoshkina T., Asavapibhop B., de Andre J. P. A. M., Auguste D., Bai W., Balashov N., Baldini W., Barresi A., Basilico D., Baussan E., Bellato M., Beretta M., Bergnoli A., Bick D., Bieger L., Biktemerova S., Birkenfeld T., Blum D., Blyth S., Bolshakova A., Bongrand M., Bordereau C., Breton D., Brigatti A., Brugnera R., Bruno R., Budano A., Busto J., Cabrera A., Caccianiga B., Cai H., Cai X., Cai Y., Cai Z., Callier S., Cammi A., Campeny A., Cao C., Cao G., Cao J., Caruso R., Cerna C., Cerrone V., Chan C., Chang J., Chang Y., Chen C., Chen G., Chen P., Chen S., Chen Y., Chen Z., Cheng J., Cheng Y., Cheng Y. C., Chepurnov A., Chetverikov A., Chiesa D., Chimenti P., Chu Z., Chukanov A., Claverie G., Clementi C., Clerbaux B., Molla M. C., Di Lorenzo S. C., Coppi A., Corti D., Csakli S., Dal Corso F., Dalager O., Datta J., De La Taille C., Deng Z., Depnering W., Ding X., Ding Y., Dirgantara B., Dittrich C., Dmitrievsky S., Dohnal T., Dolzhikov D., Donchenko G., Dong J., Doroshkevich E., Dou W., Dracos M., Druillole F., Du R., Du S., Dugas K., Dusini S., Duyang H., Eck J., Enqvist T., Fabbri A., Fahrendholz U., Fan L., Fang J., Fang W., Fargetta M., Fedoseev D., Fei Z., Feng L. -C., Feng Q., Ferraro F., Fournier A., Gan H., Gao F., Garfagnini A., Gavrikov A., Giammarchi M., Giudice N., Gonchar M., Gong G., Gong H., Gornushkin Y., Gottel A., Grassi M., Gromov M., Gromov V., Gu M., Gu X., Gu Y., Guan M., Guan Y., Guardone N., Guo C., Guo W., Guo X., Hagner C., Han R., Han Y., He M., He W., Heinz T., Hellmuth P., Heng Y., Herrera R., Hor Y., Hou S., Hsiung Y., Hu B. -Z., Hu H., Hu J., Hu S., Hu T., Hu Y., Hu Z., Huang G., Huang H., Huang J., Huang K., Huang W., Huang X., Huang Y., Hui J., Huo L., Huo W., Huss C., Hussain S., Imbert L., Ioannisian A., Isocrate R., Jelmini B., Jeria I., Ji X., Jia H., Jia J., Jian S., Jiang C., Jiang D., Jiang W., Jiang X., Jing X., Jollet C., Kampmann P., Kang L., Karaparambil R., Kazarian N., Khan A., Khatun A., Khosonthongkee K., Korablev D., Kouzakov K., Krasnoperov A., Kuleshov S., Kutovskiy N., Lachenmaier T., Landini C., Leblanc S., Lebrin V., Lefevre F., Lei R., Leitner R., Leung J., Li D., Li F., Li G., Li H., Li J., Li M., Li N., Li Q., Li R., Li S., Li T., Li W., Li X., Li Y., Li Z., Liang H., Liao J., Limphirat A., Lin G. -L., Lin S., Lin T., Ling J., Ling X., Lippi I., Liu C., Liu F., Liu H., Liu J., Liu M., Liu Q., Liu R., Liu S., Liu X., Liu Y., Liu Z., Lokhov A., Lombardi P., Lombardo C., Loo K., Lu C., Lu H., Lu J., Lu P., Lu S., Lubsandorzhiev B., Lubsandorzhiev S., Ludhova L., Lukanov A., Luo D., Luo F., Luo G., Luo J., Luo S., Luo W., Luo X., Lyashuk V., Ma B., Ma Q., Ma S., Ma X., Maalmi J., Magoni M., Mai J., Malyshkin Y., Mandujano R. C., Mantovani F., Mao X., Mao Y., Mari S. M., Marini F., Martini A., Mayer M., Mayilyan D., Mednieks I., Meng Y., Meraviglia A., Meregaglia A., Meroni E., Meyhofer D., Miramonti L., Mohan N., Montini P., Montuschi M., Muller A., Nastasi M., Naumov D. V., Naumova E., Navas-Nicolas D., Nemchenok I., Thi M. T. N., Nikolaev A., Ning F., Ning Z., Nunokawa H., Oberauer L., Ochoa-Ricoux J. P., Olshevskiy A., Orestano D., Ortica F., Othegraven R., Paoloni A., Parmeggiano S., Pei Y., Pelicci L., Peng A., Peng H., Peng Y., Peng Z., Perrot F., Petitjean P. -A., Petrucci F., Pilarczyk O., Rico L. F. P., Popov A., Poussot P., Previtali E., Qi F., Qi M., Qi X., Qian S., Qian X., Qian Z., Qiao H., Qin Z., Qiu S., Ranucci G., Rasheed R., Re A., Rebii A., Redchuk M., Ren B., Ren J., Ricci B., Rifai M., Roche M., Rodphai N., Romani A., Roskovec B., Ruan X., Rybnikov A., Sadovsky A., Saggese P., Sandanayake D., Sanfilippo S., Sangka A., Sawangwit U., Schever M., Schwab C., Schweizer K., Selyunin A., Serafini A., Settimo M., Sharov V., Shaydurova A., Shi J., Shi Y., Shutov V., Sidorenkov A., Simkovic F., Singhal A., Sirignano C., Siripak J., Sisti M., Smirnov M., Smirnov O., Sogo-Bezerra T., Sokolov S., Songwadhana J., Soonthornthum B., Sotnikov A., Sramek O., Sreethawong W., Stahl A., Stanco L., Stankevich K., Steiger H., Steinmann J., Sterr T., Stock M. R., Strati V., Studenikin A., Su J., Sun S., Sun X., Sun Y., Sun Z., Suwonjandee N., Szelezniak M., Takenaka A., Tang J., Tang Q., Tang X., Hariharan V. T., Theisen E., Tietzsch A., Tkachev I., Tmej T., Torri M. D. C., Tortorici F., Treskov K., Triossi A., Triozzi R., Trzaska W., Tung Y. -C., Tuve C., Ushakov N., Vedin V., Verde G., Vialkov M., Viaud B., Vollbrecht C. M., von Sturm K., Vorobel V., Voronin D., Votano L., Walker P., Wang C., Wang C. -H., Wang E., Wang G., Wang J., Wang L., Wang M., Wang R., Wang S., Wang W., Wang X., Wang Y., Wang Z., Watcharangkool A., Wei W., Wei Y., Wen K., Wen L., Weng J., Wiebusch C., Wirth R., Wonsak B., Wu D., Wu Q., Wu Y., Wu Z., Wurm M., Wurtz J., Wysotzki C., Xi Y., Xia D., Xiao X., Xie X., Xie Y., Xie Z., Xin Z., Xing Z., Xu B., Xu C., Xu D., Xu F., Xu H., Xu J., Xu M., Xu Y., Yan B., Yan Q., Yan T., Yan X., Yan Y., Yang C., Yang J., Yang L., Yang X., Yang Y., Yao H., Ye J., Ye M., Ye Z., Yermia F., You Z., Yu B., Yu C., Yu G., Yu H., Yu M., Yu X., Yu Z., Yuan C., Yuan Y., Yuan Z., Yue B., Zafar N., Zavadskyi V., Zeng S., Zeng T., Zeng Y., Zhan L., Zhang A., Zhang B., Zhang F., Zhang H., Zhang J., Zhang M., Zhang P., Zhang Q., Zhang S., Zhang T., Zhang X., Zhang Y., Zhang Z., Zhao J., Zhao R., Zhao S., Zheng D., Zheng H., Zheng Y., Zhong W., Zhou J., Zhou L., Zhou N., Zhou S., Zhou T., Zhou X., Zhu J., Zhu K., Zhu Z., Zhuang B., Zhuang H., Zong L., Zou J., Zufle J., Zwickel S., Abusleme, A, Adam, T, Ahmad, S, Ahmed, R, Aiello, S, Akram, M, Aleem, A, Alexandros, T, An, F, An, Q, Andronico, G, Anfimov, N, Antonelli, V, Antoshkina, T, Asavapibhop, B, de Andre, J, Auguste, D, Bai, W, Balashov, N, Baldini, W, Barresi, A, Basilico, D, Baussan, E, Bellato, M, Beretta, M, Bergnoli, A, Bick, D, Bieger, L, Biktemerova, S, Birkenfeld, T, Blum, D, Blyth, S, Bolshakova, A, Bongrand, M, Bordereau, C, Breton, D, Brigatti, A, Brugnera, R, Bruno, R, Budano, A, Busto, J, Cabrera, A, Caccianiga, B, Cai, H, Cai, X, Cai, Y, Cai, Z, Callier, S, Cammi, A, Campeny, A, Cao, C, Cao, G, Cao, J, Caruso, R, Cerna, C, Cerrone, V, Chan, C, Chang, J, Chang, Y, Chen, C, Chen, G, Chen, P, Chen, S, Chen, Y, Chen, Z, Cheng, J, Cheng, Y, Chepurnov, A, Chetverikov, A, Chiesa, D, Chimenti, P, Chu, Z, Chukanov, A, Claverie, G, Clementi, C, Clerbaux, B, Molla, M, Di Lorenzo, S, Coppi, A, Corti, D, Csakli, S, Dal Corso, F, Dalager, O, Datta, J, De La Taille, C, Deng, Z, Depnering, W, Ding, X, Ding, Y, Dirgantara, B, Dittrich, C, Dmitrievsky, S, Dohnal, T, Dolzhikov, D, Donchenko, G, Dong, J, Doroshkevich, E, Dou, W, Dracos, M, Druillole, F, Du, R, Du, S, Dugas, K, Dusini, S, Duyang, H, Eck, J, Enqvist, T, Fabbri, A, Fahrendholz, U, Fan, L, Fang, J, Fang, W, Fargetta, M, Fedoseev, D, Fei, Z, Feng, L, Feng, Q, Ferraro, F, Fournier, A, Gan, H, Gao, F, Garfagnini, A, Gavrikov, A, Giammarchi, M, Giudice, N, Gonchar, M, Gong, G, Gong, H, Gornushkin, Y, Gottel, A, Grassi, M, Gromov, M, Gromov, V, Gu, M, Gu, X, Gu, Y, Guan, M, Guan, Y, Guardone, N, Guo, C, Guo, W, Guo, X, Hagner, C, Han, R, Han, Y, He, M, He, W, Heinz, T, Hellmuth, P, Heng, Y, Herrera, R, Hor, Y, Hou, S, Hsiung, Y, Hu, B, Hu, H, Hu, J, Hu, S, Hu, T, Hu, Y, Hu, Z, Huang, G, Huang, H, Huang, J, Huang, K, Huang, W, Huang, X, Huang, Y, Hui, J, Huo, L, Huo, W, Huss, C, Hussain, S, Imbert, L, Ioannisian, A, Isocrate, R, Jelmini, B, Jeria, I, Ji, X, Jia, H, Jia, J, Jian, S, Jiang, C, Jiang, D, Jiang, W, Jiang, X, Jing, X, Jollet, C, Kampmann, P, Kang, L, Karaparambil, R, Kazarian, N, Khan, A, Khatun, A, Khosonthongkee, K, Korablev, D, Kouzakov, K, Krasnoperov, A, Kuleshov, S, Kutovskiy, N, Lachenmaier, T, Landini, C, Leblanc, S, Lebrin, V, Lefevre, F, Lei, R, Leitner, R, Leung, J, Li, D, Li, F, Li, G, Li, H, Li, J, Li, M, Li, N, Li, Q, Li, R, Li, S, Li, T, Li, W, Li, X, Li, Y, Li, Z, Liang, H, Liao, J, Limphirat, A, Lin, G, Lin, S, Lin, T, Ling, J, Ling, X, Lippi, I, Liu, C, Liu, F, Liu, H, Liu, J, Liu, M, Liu, Q, Liu, R, Liu, S, Liu, X, Liu, Y, Liu, Z, Lokhov, A, Lombardi, P, Lombardo, C, Loo, K, Lu, C, Lu, H, Lu, J, Lu, P, Lu, S, Lubsandorzhiev, B, Lubsandorzhiev, S, Ludhova, L, Lukanov, A, Luo, D, Luo, F, Luo, G, Luo, J, Luo, S, Luo, W, Luo, X, Lyashuk, V, Ma, B, Ma, Q, Ma, S, Ma, X, Maalmi, J, Magoni, M, Mai, J, Malyshkin, Y, Mandujano, R, Mantovani, F, Mao, X, Mao, Y, Mari, S, Marini, F, Martini, A, Mayer, M, Mayilyan, D, Mednieks, I, Meng, Y, Meraviglia, A, Meregaglia, A, Meroni, E, Meyhofer, D, Miramonti, L, Mohan, N, Montini, P, Montuschi, M, Muller, A, Nastasi, M, Naumov, D, Naumova, E, Navas-Nicolas, D, Nemchenok, I, Thi, M, Nikolaev, A, Ning, F, Ning, Z, Nunokawa, H, Oberauer, L, Ochoa-Ricoux, J, Olshevskiy, A, Orestano, D, Ortica, F, Othegraven, R, Paoloni, A, Parmeggiano, S, Pei, Y, Pelicci, L, Peng, A, Peng, H, Peng, Y, Peng, Z, Perrot, F, Petitjean, P, Petrucci, F, Pilarczyk, O, Rico, L, Popov, A, Poussot, P, Previtali, E, Qi, F, Qi, M, Qi, X, Qian, S, Qian, X, Qian, Z, Qiao, H, Qin, Z, Qiu, S, Ranucci, G, Rasheed, R, Re, A, Rebii, A, Redchuk, M, Ren, B, Ren, J, Ricci, B, Rifai, M, Roche, M, Rodphai, N, Romani, A, Roskovec, B, Ruan, X, Rybnikov, A, Sadovsky, A, Saggese, P, Sandanayake, D, Sanfilippo, S, Sangka, A, Sawangwit, U, Schever, M, Schwab, C, Schweizer, K, Selyunin, A, Serafini, A, Settimo, M, Sharov, V, Shaydurova, A, Shi, J, Shi, Y, Shutov, V, Sidorenkov, A, Simkovic, F, Singhal, A, Sirignano, C, Siripak, J, Sisti, M, Smirnov, M, Smirnov, O, Sogo-Bezerra, T, Sokolov, S, Songwadhana, J, Soonthornthum, B, Sotnikov, A, Sramek, O, Sreethawong, W, Stahl, A, Stanco, L, Stankevich, K, Steiger, H, Steinmann, J, Sterr, T, Stock, M, Strati, V, Studenikin, A, Su, J, Sun, S, Sun, X, Sun, Y, Sun, Z, Suwonjandee, N, Szelezniak, M, Takenaka, A, Tang, J, Tang, Q, Tang, X, Hariharan, V, Theisen, E, Tietzsch, A, Tkachev, I, Tmej, T, Torri, M, Tortorici, F, Treskov, K, Triossi, A, Triozzi, R, Trzaska, W, Tung, Y, Tuve, C, Ushakov, N, Vedin, V, Verde, G, Vialkov, M, Viaud, B, Vollbrecht, C, von Sturm, K, Vorobel, V, Voronin, D, Votano, L, Walker, P, Wang, C, Wang, E, Wang, G, Wang, J, Wang, L, Wang, M, Wang, R, Wang, S, Wang, W, Wang, X, Wang, Y, Wang, Z, Watcharangkool, A, Wei, W, Wei, Y, Wen, K, Wen, L, Weng, J, Wiebusch, C, Wirth, R, Wonsak, B, Wu, D, Wu, Q, Wu, Y, Wu, Z, Wurm, M, Wurtz, J, Wysotzki, C, Xi, Y, Xia, D, Xiao, X, Xie, X, Xie, Y, Xie, Z, Xin, Z, Xing, Z, Xu, B, Xu, C, Xu, D, Xu, F, Xu, H, Xu, J, Xu, M, Xu, Y, Yan, B, Yan, Q, Yan, T, Yan, X, Yan, Y, Yang, C, Yang, J, Yang, L, Yang, X, Yang, Y, Yao, H, Ye, J, Ye, M, Ye, Z, Yermia, F, You, Z, Yu, B, Yu, C, Yu, G, Yu, H, Yu, M, Yu, X, Yu, Z, Yuan, C, Yuan, Y, Yuan, Z, Yue, B, Zafar, N, Zavadskyi, V, Zeng, S, Zeng, T, Zeng, Y, Zhan, L, Zhang, A, Zhang, B, Zhang, F, Zhang, H, Zhang, J, Zhang, M, Zhang, P, Zhang, Q, Zhang, S, Zhang, T, Zhang, X, Zhang, Y, Zhang, Z, Zhao, J, Zhao, R, Zhao, S, Zheng, D, Zheng, H, Zheng, Y, Zhong, W, Zhou, J, Zhou, L, Zhou, N, Zhou, S, Zhou, T, Zhou, X, Zhu, J, Zhu, K, Zhu, Z, Zhuang, B, Zhuang, H, Zong, L, Zou, J, Zufle, J, Zwickel, S, Abusleme A., Adam T., Ahmad S., Ahmed R., Aiello S., Akram M., Aleem A., Alexandros T., An F., An Q., Andronico G., Anfimov N., Antonelli V., Antoshkina T., Asavapibhop B., de Andre J. P. A. M., Auguste D., Bai W., Balashov N., Baldini W., Barresi A., Basilico D., Baussan E., Bellato M., Beretta M., Bergnoli A., Bick D., Bieger L., Biktemerova S., Birkenfeld T., Blum D., Blyth S., Bolshakova A., Bongrand M., Bordereau C., Breton D., Brigatti A., Brugnera R., Bruno R., Budano A., Busto J., Cabrera A., Caccianiga B., Cai H., Cai X., Cai Y., Cai Z., Callier S., Cammi A., Campeny A., Cao C., Cao G., Cao J., Caruso R., Cerna C., Cerrone V., Chan C., Chang J., Chang Y., Chen C., Chen G., Chen P., Chen S., Chen Y., Chen Z., Cheng J., Cheng Y., Cheng Y. C., Chepurnov A., Chetverikov A., Chiesa D., Chimenti P., Chu Z., Chukanov A., Claverie G., Clementi C., Clerbaux B., Molla M. C., Di Lorenzo S. C., Coppi A., Corti D., Csakli S., Dal Corso F., Dalager O., Datta J., De La Taille C., Deng Z., Depnering W., Ding X., Ding Y., Dirgantara B., Dittrich C., Dmitrievsky S., Dohnal T., Dolzhikov D., Donchenko G., Dong J., Doroshkevich E., Dou W., Dracos M., Druillole F., Du R., Du S., Dugas K., Dusini S., Duyang H., Eck J., Enqvist T., Fabbri A., Fahrendholz U., Fan L., Fang J., Fang W., Fargetta M., Fedoseev D., Fei Z., Feng L. -C., Feng Q., Ferraro F., Fournier A., Gan H., Gao F., Garfagnini A., Gavrikov A., Giammarchi M., Giudice N., Gonchar M., Gong G., Gong H., Gornushkin Y., Gottel A., Grassi M., Gromov M., Gromov V., Gu M., Gu X., Gu Y., Guan M., Guan Y., Guardone N., Guo C., Guo W., Guo X., Hagner C., Han R., Han Y., He M., He W., Heinz T., Hellmuth P., Heng Y., Herrera R., Hor Y., Hou S., Hsiung Y., Hu B. -Z., Hu H., Hu J., Hu S., Hu T., Hu Y., Hu Z., Huang G., Huang H., Huang J., Huang K., Huang W., Huang X., Huang Y., Hui J., Huo L., Huo W., Huss C., Hussain S., Imbert L., Ioannisian A., Isocrate R., Jelmini B., Jeria I., Ji X., Jia H., Jia J., Jian S., Jiang C., Jiang D., Jiang W., Jiang X., Jing X., Jollet C., Kampmann P., Kang L., Karaparambil R., Kazarian N., Khan A., Khatun A., Khosonthongkee K., Korablev D., Kouzakov K., Krasnoperov A., Kuleshov S., Kutovskiy N., Lachenmaier T., Landini C., Leblanc S., Lebrin V., Lefevre F., Lei R., Leitner R., Leung J., Li D., Li F., Li G., Li H., Li J., Li M., Li N., Li Q., Li R., Li S., Li T., Li W., Li X., Li Y., Li Z., Liang H., Liao J., Limphirat A., Lin G. -L., Lin S., Lin T., Ling J., Ling X., Lippi I., Liu C., Liu F., Liu H., Liu J., Liu M., Liu Q., Liu R., Liu S., Liu X., Liu Y., Liu Z., Lokhov A., Lombardi P., Lombardo C., Loo K., Lu C., Lu H., Lu J., Lu P., Lu S., Lubsandorzhiev B., Lubsandorzhiev S., Ludhova L., Lukanov A., Luo D., Luo F., Luo G., Luo J., Luo S., Luo W., Luo X., Lyashuk V., Ma B., Ma Q., Ma S., Ma X., Maalmi J., Magoni M., Mai J., Malyshkin Y., Mandujano R. C., Mantovani F., Mao X., Mao Y., Mari S. M., Marini F., Martini A., Mayer M., Mayilyan D., Mednieks I., Meng Y., Meraviglia A., Meregaglia A., Meroni E., Meyhofer D., Miramonti L., Mohan N., Montini P., Montuschi M., Muller A., Nastasi M., Naumov D. V., Naumova E., Navas-Nicolas D., Nemchenok I., Thi M. T. N., Nikolaev A., Ning F., Ning Z., Nunokawa H., Oberauer L., Ochoa-Ricoux J. P., Olshevskiy A., Orestano D., Ortica F., Othegraven R., Paoloni A., Parmeggiano S., Pei Y., Pelicci L., Peng A., Peng H., Peng Y., Peng Z., Perrot F., Petitjean P. -A., Petrucci F., Pilarczyk O., Rico L. F. P., Popov A., Poussot P., Previtali E., Qi F., Qi M., Qi X., Qian S., Qian X., Qian Z., Qiao H., Qin Z., Qiu S., Ranucci G., Rasheed R., Re A., Rebii A., Redchuk M., Ren B., Ren J., Ricci B., Rifai M., Roche M., Rodphai N., Romani A., Roskovec B., Ruan X., Rybnikov A., Sadovsky A., Saggese P., Sandanayake D., Sanfilippo S., Sangka A., Sawangwit U., Schever M., Schwab C., Schweizer K., Selyunin A., Serafini A., Settimo M., Sharov V., Shaydurova A., Shi J., Shi Y., Shutov V., Sidorenkov A., Simkovic F., Singhal A., Sirignano C., Siripak J., Sisti M., Smirnov M., Smirnov O., Sogo-Bezerra T., Sokolov S., Songwadhana J., Soonthornthum B., Sotnikov A., Sramek O., Sreethawong W., Stahl A., Stanco L., Stankevich K., Steiger H., Steinmann J., Sterr T., Stock M. R., Strati V., Studenikin A., Su J., Sun S., Sun X., Sun Y., Sun Z., Suwonjandee N., Szelezniak M., Takenaka A., Tang J., Tang Q., Tang X., Hariharan V. T., Theisen E., Tietzsch A., Tkachev I., Tmej T., Torri M. D. C., Tortorici F., Treskov K., Triossi A., Triozzi R., Trzaska W., Tung Y. -C., Tuve C., Ushakov N., Vedin V., Verde G., Vialkov M., Viaud B., Vollbrecht C. M., von Sturm K., Vorobel V., Voronin D., Votano L., Walker P., Wang C., Wang C. -H., Wang E., Wang G., Wang J., Wang L., Wang M., Wang R., Wang S., Wang W., Wang X., Wang Y., Wang Z., Watcharangkool A., Wei W., Wei Y., Wen K., Wen L., Weng J., Wiebusch C., Wirth R., Wonsak B., Wu D., Wu Q., Wu Y., Wu Z., Wurm M., Wurtz J., Wysotzki C., Xi Y., Xia D., Xiao X., Xie X., Xie Y., Xie Z., Xin Z., Xing Z., Xu B., Xu C., Xu D., Xu F., Xu H., Xu J., Xu M., Xu Y., Yan B., Yan Q., Yan T., Yan X., Yan Y., Yang C., Yang J., Yang L., Yang X., Yang Y., Yao H., Ye J., Ye M., Ye Z., Yermia F., You Z., Yu B., Yu C., Yu G., Yu H., Yu M., Yu X., Yu Z., Yuan C., Yuan Y., Yuan Z., Yue B., Zafar N., Zavadskyi V., Zeng S., Zeng T., Zeng Y., Zhan L., Zhang A., Zhang B., Zhang F., Zhang H., Zhang J., Zhang M., Zhang P., Zhang Q., Zhang S., Zhang T., Zhang X., Zhang Y., Zhang Z., Zhao J., Zhao R., Zhao S., Zheng D., Zheng H., Zheng Y., Zhong W., Zhou J., Zhou L., Zhou N., Zhou S., Zhou T., Zhou X., Zhu J., Zhu K., Zhu Z., Zhuang B., Zhuang H., Zong L., Zou J., Zufle J., and Zwickel S.
Abstract: The Jiangmen Underground Neutrino Observatory (JUNO), the first multi-kton liquid scintillator detector, which is under construction in China, will have a unique potential to perform a real-time measurement of solar neutrinos well below the few MeV threshold typical of Water Cherenkov detectors. JUNO’s large target mass and excellent energy resolution are prerequisites for reaching unprecedented levels of precision. In this paper, we provide estimation of the JUNO sensitivity to 7Be, pep, and CNO solar neutrinos that can be obtained via a spectral analysis above the 0.45 MeV threshold. This study is performed assuming different scenarios of the liquid scintillator radiopurity, ranging from the most optimistic one corresponding to the radiopurity levels obtained by the Borexino experiment, up to the minimum requirements needed to perform the neutrino mass ordering determination with reactor antineutrinos — the main goal of JUNO. Our study shows that in most scenarios, JUNO will be able to improve the current best measurements on 7Be, pep, and CNO solar neutrino fluxes. We also perform a study on the JUNO capability to detect periodical time variations in the solar neutrino flux, such as the day-night modulation induced by neutrino flavor regeneration in Earth, and the modulations induced by temperature changes driven by helioseismic waves.
Published: 2023

39. Differential responses of grasses and forbs led to marked reduction in below-ground productivity in temperate steppe following chronic N deposition

Author: Bai, W, Guo, D, Tian, Q, Liu, N, Cheng, W, Li, L, and Zhang, WH
Subjects: below-ground productivity, grasses and forbs, nitrogen deposition, photosynthetic rates, plant-soil (below-ground) interactions, root traits, soil acidification, temperate steppe, Ecology, Environmental Sciences, Biological Sciences, Agricultural and Veterinary Sciences
Abstract: Enhanced deposition of atmospheric nitrogen (N) has profound impacts on ecosystem processes such as above-ground productivity and community structure in grasslands across the globe. But how N deposition affects below-ground processes of grasslands is less well known. Here, we evaluated the effects of chronic N amendment at a relatively low rate (20 kg ha-1 year-1) on root traits (root productivity, root biomass, root/shoot ratio) in Inner Mongolia steppes by rhizotron and ingrowth core and soil monolith techniques at levels of individual species, functional groups and ecosystem. For 8 years, N amendment suppressed above-ground net primary production (ANPP), photosynthetic rates and root biomass of forbs, but enhanced ANPP and root biomass of grasses. This led to an overall reduction in below-ground productivity of the grassland by 24-33%, while ANPP remained unchanged. Nitrogen amendment acidified soil and subsequently increased extractable soil manganese (Mn) concentration. Nitrogen amendment increased foliar Mn concentrations in forb, but not grass species, leading to a significant inhibition of photosynthetic rates in forb species. Synthesis. These findings highlight the importance of the differentiating responses of plant functional groups to long-term N deposition and the important consequences of these responses for below-ground productivity and long-term soil C sequestration.
Published: 2015

40. Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Author: Kamnitsas, K., Bai, W., Ferrante, E., McDonagh, S., Sinclair, M., Pawlowski, N., Rajchl, M., Lee, M., Kainz, B., Rueckert, D., Glocker, B., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Crimi, Alessandro, editor, Bakas, Spyridon, editor, Kuijf, Hugo, editor, Menze, Bjoern, editor, and Reyes, Mauricio, editor
Published: 2018
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41. Worldwide prevalence of suicidal ideation and suicide plan among people with schizophrenia: a meta-analysis and systematic review of epidemiological surveys

Author: Bai, W., Liu, Z. H., Jiang, Y. Y., Zhang, Q. E., Rao, W. W., Cheung, T., Hall, B. J., and Xiang, Y. T.
Published: 2021
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42. Efficacy and Safety of Umbilical Cord Mesenchymal Stem Cell Therapy for Rheumatoid Arthritis Patients: A Prospective Phase I/II Study

Author: Wang L, Huang S, Li S, Li M, Shi J, Bai W, Wang Q, Zheng L, and Liu Y
Subjects: rheumatoid arthritis, umbilical cord mesenchymal stem cell, cell therapy., Therapeutics. Pharmacology, RM1-950
Abstract: Liming Wang,1,* Shigao Huang,2,* Shimei Li,1 Ming Li,1 Jun Shi,1 Wen Bai,1 Qianyun Wang,1 Libo Zheng,3 Yongjun Liu3 1Cell Therapy Center, 986 Hospital of People’s Liberation Army Air Force, Xi’an, Shaanxi, People’s Republic of China; 2Cancer Center, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macao SAR, People’s Republic of China; 3Stem Cell Biology and Regenerative Medicine Institution, Yi-Chuang Institute of Bio-Industry, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shigao HuangCancer Center, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Room 3013, Building N-22, Taipa, Macau, People’s Republic of ChinaEmail huangshigao2010@aliyun.comYongjun LiuStem Cell Biology and Regenerative Medicine Institution, Yi-Chuang Institute of Bio-Industry, No. 35, Jinghai 3 Road Economic-Technological Development Area, Beijing, People’s Republic of ChinaEmail andyliuliu2001@aliyun.comBackground: The traditional anti-inflammation disease-modifying anti-rheumatic drugs (DMARDs) have limited therapeutic effects in rheumatoid arthritis (RA) patients. We previously reported the safety and efficacy of umbilical cord mesenchymal stem cell (UC-MSC) treatment in RA patients that were observed for up to 8 months after UC-MSC infusion. The aim of this study is to assess the long-term efficacy and safety of UC-MSC along with DMARDs for the treatment of RA.Methods: 64 RA patients aged 18–64 years were recruited in the study. During the treatment, patients were treated with 40 mL UC-MSC suspension product (2 × 107 cells/20 mL) via intravenous injection immediately after the infusion of 100 mL saline. The serological markers tests were used to assess safety and the 28-joint disease activity score (DAS28) and the Health Assessment Questionnaire (HAQ) to assess efficacy.Results: 1 year and 3 years after UC-MSC cells treatment, the blood routine, liver and kidney function and immunoglobulin examination showed no abnormalities, which were all in the normal range. The ESR, CRP, RF of 1 year and 3 years after treatment and anti-CCP of 3 years after treatment were detected to be lower than that of pretreatment, which showed significant change (P < 0.05). Health index (HAQ) and joint function index (DAS28) decreased 1 year and 3 years after treatment than before treatment (P < 0.05).Conclusion: UC-MSC cells plus DMARDs therapy can be a safe, effective and feasible therapeutic option for RA patients.Keywords: rheumatoid arthritis, umbilical cord mesenchymal stem cell, cell therapy
Published: 2019

43. List of contributors

Author: Bai, W., primary, Baran, Ismet, additional, Bisht, Anuj, additional, Comminal, Raphaël Benjamin, additional, Dixit, Uday Shanker, additional, Hartl, Christoph, additional, Hattel, Jesper H., additional, Jabbari, Masoud, additional, Jagadeesh, Gopalan, additional, Jiang, Jun, additional, Larsen, Martin, additional, Leopold, Jürgen, additional, Lin, Jianguo, additional, Linnemann, Maik, additional, Liu, Qiang, additional, Outeiro, J.C., additional, Pandey, P.M., additional, Pang, Ka Ho, additional, Psyk, Verena, additional, Roy, Anish, additional, Salling, Filip Bo, additional, Sandberg, Michael, additional, Sebastiani, Gerd, additional, Shao, Zhutao, additional, Shufen, Rajkumar, additional, Silberschmidt, Vadim V., additional, Sonne, Mads Rostgaard, additional, Spangenberg, Jon, additional, Sun, R., additional, Suwas, Satyam, additional, Xu, J., additional, Yadav, V., additional, and Yuksel, Onur, additional
Published: 2020
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44. Microstructural changes in machining

Author: Bai, W., primary, Sun, R., additional, Xu, J., additional, and Silberschmidt, Vadim V., additional
Published: 2020
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45. An overset mesh based multiphase flow solver for water entry problems

Author: Ma, Z.H., Qian, L., Martínez-Ferrer, P.J., Causon, D.M., Mingham, C.G., and Bai, W.
Published: 2018
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46. Molecular beam epitaxial growth, transmittance and photoluminescence spectra of zinc-blende CdTe thin films with high-quality on perovskite SrTiO3 (1 1 1) substrates

Author: Song, Kun, Zhu, Xuanting, Tang, Kai, Bai, W., Zhu, Liangqing, Yang, Jing, Zhang, Yuanyuan, Tang, Xiaodong, and Chu, Junhao
Published: 2018
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47. LINE-1 ORF-1p enhances the transcription factor activity of pregnenolone X receptor and promotes sorafenib resistance in hepatocellular carcinoma cells

Author: Chen Y, Zeng Q, Liu X, Fu J, Zeng Z, Zhao Z, Liu Z, Bai W, Dong Z, Liu H, Lu X, Zhu Y, and Lu Y
Subjects: LINE-1 ORF-1p, sorafenib-resistance, pregnenolone X receptor, hepatocellular carcinoma, transcription factor activation, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Yan Chen,1,2,* Qinglei Zeng,3,* Xiufang Liu,4 Junliang Fu,1 Zhen Zeng,1 Zhiqin Zhao,1 Ze Liu,1 Wenlin Bai,1 Zheng Dong,1 Hongjin Liu,1 Xiaoxia Lu,1 Yunfeng Zhu,2,5 Yinying Lu1 1Comprehensive Liver Cancer Center, Beijing 302 Hospital, Beijing 100039, P.R. China; 2College of Life Sciences and Bio-Engineering, Beijing Jiaotong University, Beijing 100044, P.R. China; 3Department of Infectious Disease, The First Affiliated Hospital of Zhengzhou University, Zheng Zhou 450052, Henan Province, P.R. China; 4Department of Oncology, Chinese PLA 251 Hospital, Zhangjiakou 075000, P.R. China; 5Cancer Center in Division of Internal Medicine, Chinese PLA General Hospital, Beijing 100853, P.R. China *These authors contributed equally to this work Background: LINE-1 ORF-1p is encoded by the human pro-oncogene LINE-1. Our previous work showed that LINE-1 ORF-1p could enhance the resistance of hepatocellular carcinoma (HCC) cells to antitumor agents. However, the mechanisms involved in LINE-1 ORF-1p-mediated drug resistance remain largely unknown.Materials and methods: The endogenous mRNA level of LINE-1 ORF-1p in clinical HCC specimens was examined using quantitative PCR (qPCR). The prognosis of HCC patients was assessed using time to progression and overall survival. The transcription factor activity of pregnenolone X receptor (PXR) was examined using luciferase gene reporter assays, qPCR, chromatin immunoprecipitation assays and cellular subfraction assays. Protein interaction between LINE-1 ORF-1p and PXR was detected by co-immunoprecipitation. The effect of LINE-1 ORF-1p on sorafenib resistance in HCC cells was studied using in vitro and in vivo models.Results: A high level of LINE-1 ORF-1p in clinical specimens was related to poor prognosis in patients who received sorafenib treatment. LINE-1 ORF-1p increased the transcription factor activity of PXR by interacting with PXR and enhancing its cytoplasmic/nuclear translocation, and recruiting PXR to its downstream gene promoter, in turn enhancing the expression of the sorafenib resistance-related genes, CYP3A4 and mdr-1. LINE-1 ORF-1p enhanced the resistance to and clearance of sorafenib in HCC cells.Conclusion: LINE-1 ORF-1p enhances the transcription factor activation of PXR and promotes the clearance of and resistance to sorafenib in HCC cells. Keywords: LINE-1 ORF-1p, sorafenib resistance, pregnenolone X receptor, hepatocellular carcinoma, transcription factor activation
Published: 2018

48. Differences in spatial and temporal root lifespan of three Stipa grasslands in northern China

Author: Bai, W. M., Zhou, M., Fang, Y., and Zhang, W. H.
Published: 2017

49. Numerical investigation of viscous effects on the gap resonance between side-by-side barges

Author: Feng, X., Bai, W., Chen, X.B., Qian, L., and Ma, Z.H.
Published: 2017
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50. Boson Mapping and Nonlinear Response of Type-II Superconductors

Author: Chen, H. D., Bai, W. P., Yin, D. L., Zhu, Y. L., Li, G., and Li, C. Y.
Subjects: Condensed Matter - Superconductivity
Abstract: The vortices in a high-Tc superconductor with strong correlated pinning centers have been studied numerically using the mapping to charged bosons in two-dimensions(2D) and the Monte-Carlo algorithm. Considering the viscous dissipation of moving vortices we derived a nonlinear voltage response expression which describes different regimes and their crossover uniformly. This equation accords with experimental results., Comment: 12 pages, 5 figures
Published: 1998

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