Author: "ZHOU, M." - Searchworks@Jio Institute Digital Library Search Results

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1. LHAASO detection of very-high-energy gamma-ray emission surrounding PSR J0248+6021

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zheng, J. H., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., Zou, Y. C., and Zuo, X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: We report the detection of an extended very-high-energy (VHE) gamma-ray source coincident with the locations of middle-aged (62.4~\rm kyr) pulsar PSR J0248+6021, by using the LHAASO-WCDA data of live 796 days and LHAASO-KM2A data of live 1216 days. A significant excess of \gray induced showers is observed both by WCDA in energy bands of 1-25~\rm TeV and KM2A in energy bands of $>$ 25~\rm TeV with 7.3 $\sigma$ and 13.5 $\sigma$, respectively. The best-fit position derived through WCDA data is R.A. = 42.06$^\circ \pm$ 0.12$^\circ$ and Dec. = 60.24$^\circ \pm $ 0.13$^\circ$ with an extension of 0.69$^\circ\pm$0.15$^\circ$ and that of the KM2A data is R.A.= 42.29$^\circ \pm $ 0.13$^\circ$ and Dec. = 60.38$^\circ \pm$ 0.07$^\circ$ with an extension of 0.37$^\circ\pm$0.07$^\circ$. No clear extended multiwavelength counterpart of this LHAASO source has been found from the radio band to the GeV band. The most plausible explanation of the VHE \gray emission is the inverse Compton process of highly relativistic electrons and positrons injected by the pulsar. These electrons/positrons are hypothesized to be either confined within the pulsar wind nebula or to have already escaped into the interstellar medium, forming a pulsar halo., Comment: 12 pages, 10 figures, Accepted by Sci. China-Phys. Mech. Astron
Published: 2024

2. Constraints on Ultra Heavy Dark Matter Properties from Dwarf Spheroidal Galaxies with LHAASO Observations

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, della Volpe, D., Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Saiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena, High Energy Physics - Phenomenology
Abstract: In this work we try to search for signals generated by ultra-heavy dark matter at the Large High Altitude Air Shower Observatory (LHAASO) data. We look for possible gamma-ray by dark matter annihilation or decay from 16 dwarf spheroidal galaxies in the field of view of LHAASO. Dwarf spheroidal galaxies are among the most promising targets for indirect detection of dark matter which have low fluxes of astrophysical $\gamma$-ray background while large amount of dark matter. By analyzing more than 700 days observational data at LHAASO, no significant dark matter signal from 1 TeV to 1 EeV is detected. Accordingly we derive the most stringent constraints on the ultra-heavy dark matter annihilation cross-section up to EeV. The constraints on the lifetime of dark matter in decay mode are also derived., Comment: 17 pages, 12 figures, accepted by PRL
Published: 2024

3. Data quality control system and long-term performance monitor of the LHAASO-KM2A

Author: Cao, Zhen, Aharonian, F., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Bian, W., Bukevich, A. V., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, H. X., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, J. H., Fang, K., Feng, C. F., Feng, H., Feng, L., Feng, S. H., Feng, X. T., Feng, Y., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., Hasan, M., He, H. H., He, H. N., He, J. Y., He, Y., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Karpikov, I., Kuleshov, D., Kurinov, K., Li, B. B., Li, C. M., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, Jian, Li, Jie, Li, K., Li, S. D., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, D. B., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Luo, Q., Luo, Y., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, L. J., Pattarakijwanich, P., Pei, Z. Y., Qi, J. C., Qi, M. Y., Qiao, B. Q., Qin, J. J., Raza, A., Ruffolo, D., Sáiz, A., Saeed, M., Semikoz, D., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, D. X., Sun, Q. N., Sun, X. N., Sun, Z. B., Takata, J., Tam, P. H. T., Tang, Q. W., Tang, R., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, Kai, Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, Q. W., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, Y. L., Xing, Y., Xiong, D. R., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, C. Y., Yang, F., Yang, F. F., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, W. X., Yao, Y. H., Yao, Z. G., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zhao, X. H., Zheng, F., Zhong, W. J., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, B. Y., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., Zou, Y. C., and Zuo, X.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: The KM2A is the largest sub-array of the Large High Altitude Air Shower Observatory (LHAASO). It consists of 5216 electromagnetic particle detectors (EDs) and 1188 muon detectors (MDs). The data recorded by the EDs and MDs are used to reconstruct primary information of cosmic ray and gamma-ray showers. This information is used for physical analysis in gamma-ray astronomy and cosmic ray physics. To ensure the reliability of the LHAASO-KM2A data, a three-level quality control system has been established. It is used to monitor the status of detector units, stability of reconstructed parameters and the performance of the array based on observations of the Crab Nebula and Moon shadow. This paper will introduce the control system and its application on the LHAASO-KM2A data collected from August 2021 to July 2023. During this period, the pointing and angular resolution of the array were stable. From the observations of the Moon shadow and Crab Nebula, the results achieved using the two methods are consistent with each other. According to the observation of the Crab Nebula at energies from 25 TeV to 100 TeV, the time averaged pointing errors are estimated to be $-0.003^{\circ} \pm 0.005^{\circ}$ and $0.001^{\circ} \pm 0.006^{\circ}$ in the R.A. and Dec directions, respectively., Comment: 15 pages, 9 figures
Published: 2024

4. Discovery of Very-high-energy Gamma-ray Emissions from the Low Luminosity AGN NGC 4278 by LHAASO

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zheng, J. H., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., Zou, Y. C., and Zuo, X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: The first source catalog of Large High Altitude Air Shower Observatory reported the detection of a very-high-energy gamma ray source, 1LHAASO J1219+2915. In this paper a further detailed study of the spectral and temporal behavior of this point-like source have been carried. The best-fit position of the TeV source ($\rm{RA}=185.05^{\circ}\pm0.04^{\circ}$, $\rm{Dec}=29.25^{\circ}\pm0.03^{\circ}$) is compatible with NGC 4278 within $\sim0.03$ degree. Variation analysis shows an indication of the variability at a few months level in the TeV band, which is consistent with low frequency observations. Based on these observations, we report the detection of TeV $\gamma$-ray emissions from this low-luminosity AGN NGC 4278. The observations by LHAASO-WCDA during active period has a significance level of 8.8\,$\sigma$ with best-fit photon spectral index $\varGamma=2.56\pm0.14$ and a flux $f_{1-10\,\rm{TeV}}=(7.0\pm1.1_{\rm{sta}}\pm0.35_{\rm{syst}})\times10^{-13}\,\rm{photons\,cm^{-2}\,s^{-1}}$, or approximately $5\%$ of the Crab Nebula. The discovery of VHE from NGC 4278 indicates that the compact, weak radio jet can efficiently accelerate particles and emit TeV photons., Comment: 11 pages, 5 figures
Published: 2024

5. LHAASO-KM2A detector simulation using Geant4

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zheng, J. H., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract: KM2A is one of the main sub-arrays of LHAASO, working on gamma ray astronomy and cosmic ray physics at energies above 10 TeV. Detector simulation is the important foundation for estimating detector performance and data analysis. It is a big challenge to simulate the KM2A detector in the framework of Geant4 due to the need to track numerous photons from a large number of detector units (>6000) with large altitude difference (30 m) and huge coverage (1.3 km^2). In this paper, the design of the KM2A simulation code G4KM2A based on Geant4 is introduced. The process of G4KM2A is optimized mainly in memory consumption to avoid memory overffow. Some simpliffcations are used to signiffcantly speed up the execution of G4KM2A. The running time is reduced by at least 30 times compared to full detector simulation. The particle distributions and the core/angle resolution comparison between simulation and experimental data of the full KM2A array are also presented, which show good agreement.
Published: 2024
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6. Measurements of All-Particle Energy Spectrum and Mean Logarithmic Mass of Cosmic Rays from 0.3 to 30 PeV with LHAASO-KM2A

Author: The LHAASO Collaboration, Cao, Zhen, Aharonian, F., An, Q., Axikegu, A., Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, della Volpe, D., Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: We present the measurements of all-particle energy spectrum and mean logarithmic mass of cosmic rays in the energy range of 0.3-30 PeV using data collected from LHAASO-KM2A between September 2021 and December 2022, which is based on a nearly composition-independent energy reconstruction method, achieving unprecedented accuracy. Our analysis reveals the position of the knee at $3.67 \pm 0.05 \pm 0.15$ PeV. Below the knee, the spectral index is found to be -$2.7413 \pm 0.0004 \pm 0.0050$, while above the knee, it is -$3.128 \pm 0.005 \pm 0.027$, with the sharpness of the transition measured with a statistical error of 2%. The mean logarithmic mass of cosmic rays is almost heavier than helium in the whole measured energy range. It decreases from 1.7 at 0.3 PeV to 1.3 at 3 PeV, representing a 24% decline following a power law with an index of -$0.1200 \pm 0.0003 \pm 0.0341$. This is equivalent to an increase in abundance of light components. Above the knee, the mean logarithmic mass exhibits a power law trend towards heavier components, which is reversal to the behavior observed in the all-particle energy spectrum. Additionally, the knee position and the change in power-law index are approximately the same. These findings suggest that the knee observed in the all-particle spectrum corresponds to the knee of the light component, rather than the medium-heavy components., Comment: 8 pages, 3 figures
Published: 2024
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7. Quantum Fluctuations Drive Angular Momenta in Nuclear Fission

Author: Zhou, M. H., Chen, S. Y., Li, Z. Y., Smith, M. S., and Li, Z. P.
Subjects: Nuclear Theory
Abstract: Quantum fluctuations are ubiquitous and play crucial roles across various scales and systems, such as the Big Bang, black hole dynamics, quantum phase transitions in microscopic many-body systems, and so on. Nuclear fission manifests as a complex nuclear shape stretching until it splits into fragments with substantial angular momenta, also exhibiting complex quantum fluctuations and specifically shape fluctuations. For over 40 years, researchers have puzzled how the fission fragment angular momenta are generated dynamically from (almost) zero spin, as well as the particular role played by quantum fluctuations. Here, for the first time, we report the quantum shape fluctuations that drive fragment angular momenta during nuclear fission, based on a global, microscopic, and dynamical simulation. The calculated probability distributions of fragment angular momenta are in good agreement with the experimental measurements, and the sawtooth-like mass dependence of average angular momenta is reproduced very well. It is noteworthy to find that the shape fluctuations -- multiple rotations, vibrations, and their couplings -- drive the generation and chaotic evolution of fragment angular momenta during fission fragment formation and induce strong correlations between angular momentum orientations of partner fragments at small, medium, and large opening angles ($\phi_{LH}\approx 30^\circ, 90^\circ, 160^\circ$). Our work not only deepens the fundamental understanding of the nuclear fission mechanism but also has implications for the $\gamma$-ray heating problem in nuclear reactors and the synthesis of superheavy elements.
Published: 2023

8. Does or did the supernova remnant Cassiopeia A operate as a PeVatron?

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, della Volpe, D., Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo., X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: For decades, supernova remnants (SNRs) have been considered the prime sources of Galactic Cosmic rays (CRs). But whether SNRs can accelerate CR protons to PeV energies and thus dominate CR flux up to the knee is currently under intensive theoretical and phenomenological debate. The direct test of the ability of SNRs to operate as CR PeVatrons can be provided by ultrahigh-energy (UHE; $E_\gamma \geq 100$~TeV) $\gamma$-rays. In this context, the historical SNR Cassiopeia A (Cas A) is considered one of the most promising target for UHE observations. This paper presents the observation of Cas A and its vicinity by the LHAASO KM2A detector. The exceptional sensitivity of LHAASO KM2A in the UHE band, combined with the young age of Cas A, enabled us to derive stringent model-independent limits on the energy budget of UHE protons and nuclei accelerated by Cas A at any epoch after the explosion. The results challenge the prevailing paradigm that Cas A-type SNRs are major suppliers of PeV CRs in the Milky Way., Comment: 11 pages, 3 figures, Accepted by the APJL
Published: 2023

9. Very high energy gamma-ray emission beyond 10 TeV from GRB 221009A

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, A., Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, della Volpe, D., Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: The highest energy gamma-rays from gamma-ray bursts (GRBs) have important implications for their radiation mechanism. Here we report for the first time the detection of gamma-rays up to 13 TeV from the brightest GRB 221009A by the Large High Altitude Air-shower Observatory (LHAASO). The LHAASO-KM2A detector registered more than 140 gamma-rays with energies above 3 TeV during 230$-$900s after the trigger. The intrinsic energy spectrum of gamma-rays can be described by a power-law after correcting for extragalactic background light (EBL) absorption. Such a hard spectrum challenges the synchrotron self-Compton (SSC) scenario of relativistic electrons for the afterglow emission above several TeV. Observations of gamma-rays up to 13 TeV from a source with a measured redshift of z=0.151 hints more transparency in intergalactic space than previously expected. Alternatively, one may invoke new physics such as Lorentz Invariance Violation (LIV) or an axion origin of very high energy (VHE) signals., Comment: 49pages, 11figures
Published: 2023
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10. Multisequence MRI-Based Radiomic Features Combined with Inflammatory Indices for Predicting the Overall Survival of HCC Patients After TACE

Author: Zhou M, Zhang P, Mao Q, Shi Y, Yang L, and Zhang X
Subjects: magnetic resonance imaging, radiomics, hepatocellular carcinoma, transcatheter arterial chemoembolization, inflammatory indices, overall survival., Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Maoting Zhou, Peng Zhang, Qi Mao, Yue Shi, Lin Yang, Xiaoming Zhang Medical Imaging Key Laboratory of Sichuan Province, Science and Technology Innovation Center, Interventional Medical Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637000, People’s Republic of ChinaCorrespondence: Lin Yang, Medical Imaging Key Laboratory of Sichuan Province, Science and Technology Innovation Center, Interventional Medical Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637000, People’s Republic of China, Email linyangmd@163.comObjective: To develop a model for predicting the overall survival (OS) of hepatocellular carcinoma (HCC) patients after transarterial chemoembolization (TACE) on the basis of multisequence MRI radiomic features and clinical variables.Methods: The DCE-MRI and clinical data of 116 HCC patients treated with TACE for the first time were retrospectively analyzed. The included patients were randomly divided into training and validation cohorts at a ratio of 7:3. Univariate and multivariate Cox proportional hazards regression models were used to identify independent risk factors that affect the OS of patients with HCC after TACE. Radiomic features were extracted from the sequences of FS-T2W images and arterial-phase (A) and portal venous-phase (P) axial DCE-MR images. The LASSO method was used to select the best radiomic features. Logistic regression was used to establish a radiomic model of each sequence, a joint model of MRI features (M model) combined the radiomic features of all the sequences, and a radiomic-clinical model (M-C model) that integrated the radiomic signatures and clinically independent predictors. The diagnostic performance of each model was evaluated as the area under the receiver operating characteristic (ROC) curve (AUC).Results: The Child–Turcotte–Pugh (CTP) score and neutrophil-to-lymphocyte ratio (NLR) –platelet–to–lymphocyte ratio (PLR) were found to be independent risk factors that affect the OS of patients with HCC treated with TACE. The AUCs of the FS-T2WI, A, P, M, and M-C models for predicting the OS of HCC patients after TACE treatment were 0.779, 0.803, 0.745, 0.858 and 0.893, respectively, in the training group and 0.635, 0.651, 0.644, 0.778 and 0.803, respectively, in the validation group. The M-C model had the best predictive performance.Conclusion: Multiparameter MRI-based radiomic features may be helpful for predicting OS after TACE treatment in HCC patients. The inclusion of clinical indicators such as inflammation scores can improve the predictive performance.Keywords: magnetic resonance imaging, radiomics, hepatocellular carcinoma, transcatheter arterial chemoembolization, inflammatory indices, overall survival
Published: 2024

11. Improved Fatigue Management in Primary Sjögren’s Syndrome: A Retrospective Analysis of the Efficacy of Methotrexate in Chinese Patients

Author: Zhou M, Dai X, and Yuan F
Subjects: primary sjögren's syndrome, fatigue, methotrexate, hydroxychloroquine, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract: Meiju Zhou, Xiaona Dai, Fang Yuan Department of Rheumatology and Immunology, Zhejiang Hospital, Hangzhou, People’s Republic of ChinaCorrespondence: Fang Yuan, Department of Rheumatology and Immunology, Zhejiang Hospital, No. 1229 Gudun Road, Hangzhou, 310030, People’s Republic of China, Email yuanfany@126.comObjective: To assess the efficacy of methotrexate (MTX) and hydroxychloroquine (HCQ) in improving fatigue symptoms in patients with primary Sjögren’s syndrome (pSS).Methods: A single-center retrospective study was conducted on pSS patients experiencing fatigue symptoms. All patients received either MTX, HCQ, or a combination of MTX + HCQ for a period of six months. Clinical efficacy was measured using the European League Against Rheumatism (EULAR) Sjögren’s Syndrome Disease Activity Index (ESSDAI), EULAR Sjögren’s Syndrome Patient Reported Index (ESSPRI), Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F), fatigue severity scale (FSS), and visual analog scale (VAS) score. These measures were assessed at baseline and at 1, 2, 3, and 6 months.Results: A total of 86 pSS patients with fatigue symptoms were enrolled (27 received MTX, 29 received HCQ, and 30 received MTX + HCQ). Patients receiving MTX and MTX + HCQ showed significant improvements at 6th month in ESSDAI, ESSPRI, FSS, FACIT-F, and VAS scores (all P < 0.01) compared with baseline. Repeated-measures analysis of variance revealed that patients treated with MTX and MTX + HCQ experienced significant improvements in ESSDAI, FSS, FACIT-F, and VAS scores (all P < 0.01) from baseline to the 6th month. The HCQ group did not show significant improvement in FSS, FACIT-F, and VAS scores (all P > 0.05), although their ESSDAI and ESSPRI scores did improve significantly (all P < 0.01). Patients in the MTX group showed the most improvement in mean changes of ESSDAI score, FSS score, FACIT-F score, and VAS score from baseline to the 6th month. And patients received MTX treatment significantly had more fatigue remission numbers (all P < 0.05).Conclusion: In clinical practice, methotrexate is more effective than hydroxychloroquine in improving fatigue symptoms, as measured by patient-reported fatigue scales (FSS, FACIT-F, and VAS scores) in patients with pSS.Keywords: primary Sjögren’s syndrome, fatigue, methotrexate, hydroxychloroquine
Published: 2024

12. Desferrioxamine-Laden Nanofibrous Scaffolds with Efficient Angiogenesis for Accelerating Diabetic Wound Healing

Author: Zhao Y, Chen J, Zhou M, Zhang G, Wu W, Wang Z, Sun J, and Zhong A
Subjects: diabetic wounds, angiogenesis, desferrioxamine, graphene oxide, electrospinning, drug release., Medicine (General), R5-920
Abstract: Yang Zhao,1,2,&ast; Jialong Chen,1,2,&ast; Muran Zhou,1,2 Guo Zhang,1,2 Wenhao Wu,1,2 Zhenxing Wang,1,2 Jiaming Sun,1,2 Aimei Zhong1,2 1Department of Plastic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China; 2Wuhan Clinical Research Center for Superficial Organ Reconstruction, Wuhan, 430022, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Aimei Zhong; Jiaming Sun, Department of Plastic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, People’s Republic of China, Tel +86-13317174169 ; +86-13986246496, Fax +86-027-85726240, Email aimei_zhong@hust.edu.cn; sunjm1592@sina.comBackground: Delayed diabetic wound healing is one of the clinical difficulties, the main reason is the limited angiogenesis ability. Deferriamine (DFO) is an iron chelating agent that can induce angiogenesis, but its application is limited due to its short half-life. Increasing the load and slow release performance of desferriamine is beneficial to accelerate diabetic wound healing.Materials and Methods: In this study, we developed collagen (Col)-graphene oxide (GO) and (1% w/w) DFO-loaded nanofiber electrospinning scaffolds (DCG) using the electrospinning technique. We tested the physicochemical properties, drug release performance, and vascularization biological function of the scaffolds, and finally evaluated the promotion of full-thickness wound healing in the diabetic rat models.Results: The results showed that DCG scaffolds have good mechanical properties and water-holding capacity and can release DFO continuously for 14 days. In vitro, the novel DCG scaffold exhibited good biocompatibility, with the up-regulation at the gene level of VEGF and its regulator HIF-1α, promoters of angiogenesis. This was verified in vivo, as the scaffold enhanced granulation tissue formation and improved neovascularization, thereby accelerating wound healing when applied to full-thickness defects on the back of diabetic rats.Conclusion: The DCG nanofiber scaffold prepared in this study has good biocompatibility and vascularization ability, and improves the microenvironment in vivo, and has a good application prospect in diabetic wound repair.Keywords: diabetic wounds, angiogenesis, desferrioxamine, graphene oxide, electrospinning, drug release
Published: 2024

13. A Network Structure of Mental Health and Problematic Mobile Phone Use Among Middle School Students

Author: Zhou M, Dong X, Wu W, and Li Y
Subjects: problematic mobile phone use, network analysis, middle school students, mental health, Psychology, BF1-990, Industrial psychology, HF5548.7-5548.85
Abstract: Mingwan Zhou,1 Xueti Dong,2 Weige Wu,3,4 Yun Li4,5 1Psychological Assessment Center, Xiamen Xianyue Hospital, Xianyue Hospital Affiliated with Xiamen Medical College, Fujian Psychiatric Center, Fujian Clinical Research Center for Mental Disorders, Xiamen, People’s Republic of China; 2Psychological Counseling and Treatment Center, Xiamen Xianyue Hospital, Xianyue Hospital Affiliated with Xiamen Medical College, Fujian Psychiatric Center, Fujian Clinical Research Center for Mental Disorders, Xiamen, People’s Republic of China; 3Child Psychology Department, Xiamen Xianyue Hospital, Xianyue Hospital Affiliated with Xiamen Medical College, Fujian Psychiatric Center, Fujian Clinical Research Center for Mental Disorders, Xiamen, People’s Republic of China; 4Department of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian Province, People’s Republic of China; 5Child and Adolescent Psychology Outpatient Clinic, Xiamen Xianyue Hospital, Xianyue Hospital Affiliated with Xiamen Medical College, Fujian Psychiatric Center, Fujian Clinical Research Center for Mental Disorders, Xiamen, People’s Republic of ChinaCorrespondence: Yun Li, Department of Clinical Medicine, Fujian Medical University, No. 1, Xueyuan North Road, Fuzhou, Fujian Province, 350100, People’s Republic of China, Email xiaojiujiuo123@sina.comObjective: Numerous studies have shown that the mental health of middle school students is closely related to problematic mobile phone use. The purpose of this study is to investigate the network structure between the dimensions of the Middle School Students Mental Health Scale and the items of the Self-Rating Questionnaire for Adolescent Problematic Mobile Phone Use by using the network analysis, to clarify the core symptoms and bridge symptoms of the network structure, and to provide ideas and methods for intervening in the mental health and problematic mobile phone use of middle school students.Methods: A stratified cluster sampling method was used to select 1637 students from four general middle schools in Xiamen in June 2020 for the survey, and the Middle School Students Mental Health Scale (MSSMHS-60) and the Self-Rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) were used. SPSS28.0 was used for descriptive statistical analysis and R (version 4.2.1) for network analysis.Results: 1. The core symptoms of the network of middle school students’ mental health and problematic mobile phone use were “spending more time playing with the phone in order to be satisfied”, anxiety, and depression; 2. The bridge symptoms of the network of middle school students’ mental health and problematic mobile phone use were academic stress, psychological disequilibrium, and “depression without phone”.Conclusion: Reducing the time of smartphone use and relieving anxiety and depression can improve the mental health of middle school students and reduce the incidence of problematic mobile phone use; helping middle school students adjust their study pressure and improving their social support level can reduce the severity of problematic mobile phone use.Keywords: problematic mobile phone use, network analysis, middle school students, mental health
Published: 2024

14. Optimizing Treatment Strategies for Carbapenem-Resistant Acinetobacter Baumannii-Associated Pneumonia: A Multicenter Study in Chinese Hospitals

Author: Tian X, Lin J, Zhou M, Ge Y, Li T, Zhang L, and Liu Z
Subjects: carbapenem-resistant acinetobacter baumannii, hospital acquired pneumonia, tigecycline, cefoperazone/sulbactam, risk factors, Infectious and parasitic diseases, RC109-216
Abstract: Xiaotong Tian,1,2 Jing Lin,1,2 Menglan Zhou,3,4 Ying Ge,1 Taisheng Li,1 Li Zhang,1 Zhengyin Liu1 1Department of Infectious Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People’s Republic of China; 2Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China; 3Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People’s Republic of China; 4Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, People’s Republic of ChinaCorrespondence: Zhengyin Liu; Li Zhang, Department of Infectious Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People’s Republic of China, Email liuzhy@pumch.cn; zhangli36@pumch.cnPurpose: To evaluate the clinical outcomes and safety of tigecycline (TGC) plus cefoperazone/sulbactam (CPS) or TGC monotherapy in patients with hospital-acquired pneumonia (HAP) caused by Carbapenem-Resistant Acinetobacter baumannii (CRAB).Methods: This was a retrospective analysis of multicenter data from 62 Chinese hospitals with CRAB HAP. Risk factors for receiving TGC with CPS therapy and predictors of mortality were assessed using multivariate logistic and Cox regression analyses, respectively. Propensity score matching (PSM) evaluated the efficacy and safety of antimicrobial regimens.Results: A total of the 180 patients were included, with 95 receiving TGC monotherapy and 85 receiving combination therapy. Multivariate logistic regression analysis revealed that older age (P = 0.011), and intensive care unit (ICU) admission (P = 0.007) were significant risk factors for combination therapy. Multivariate Cox regression demonstrated that combination therapy was associated with a significantly higher risk of 90-day mortality (P = 0.031). Patients in the standard-dose TGC (SDT) plus CPS subgroup had significantly higher rates of SOFA scores ≥ 7 (P = 0.009) and MV used (P = 0.028), as well as higher 30-/90-day mortality compared to high-dose TGC (HDT) plus CPS group. TGC plus CPS significantly reduced CRP levels (P = 0.009), while the variations in ALT, TBIL, Cr, Hb, and PLT levels did not differ between different antimicrobial regimens after PSM.Conclusion: HDT and CPS combination therapy was more effective in patients with advanced age and more severe condition. Safety profiles of different antimicrobial regimens were similar with liver, kidneys, and coagulation functions.Keywords: carbapenem-resistant Acinetobacter baumannii, hospital acquired pneumonia, tigecycline, cefoperazone/sulbactam, risk factors
Published: 2024

15. Tumor Growth Pattern and Intra- and Peritumoral Radiomics Combined for Prediction of Initial TACE Outcome in Patients with Primary Hepatocellular Carcinoma

Author: Li J, Zhou M, Tong Y, Chen H, Su R, Tao Y, Zhang G, and Sun Z
Subjects: hepatocellular carcinoma, radiomics, tumor growth pattern, hepatic arterial chemoembolization, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Jiaying Li,1,2,&ast; Minhui Zhou,2,&ast; Yahan Tong,3 Haibo Chen,1 Ruisi Su,2 Yinghui Tao,2 Guodong Zhang,1 Zhichao Sun1 1Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, 310006, People’s Republic of China; 2The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, 310053, People’s Republic of China; 3Department of Radiology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, 310005, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zhichao Sun, Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), 54 Youdian Road, Hangzhou, People’s Republic of China, Tel/Fax +86-571-87077272, Email sunzhichao@zcmu.edu.cnPurpose: Non-invasive methods are urgently needed to assess the efficacy of transarterial chemoembolization (TACE) and to identify patients with hepatocellular carcinoma (HCC) who may benefit from this procedure. This study, therefore, aimed to investigate the predictive ability of tumor growth patterns and radiomics features from contrast-enhanced magnetic resonance imaging (CE-MRI) in predicting tumor response to TACE among patients with HCC.Patients and Methods: A retrospective study was conducted on 133 patients with HCC who underwent TACE at three centers between January 2015 and April 2023. Enrolled patients were divided into training, testing, and validation cohorts. Rim arterial phase hyperenhancement (Rim APHE), tumor growth patterns, nonperipheral washout, markedly low apparent diffusion coefficient (ADC) value, intratumoral arteries, and clinical baseline features were documented for all patients. Radiomics features were extracted from the intratumoral and peritumoral regions across the three phases of CE-MRI. Seven prediction models were developed, and their performances were evaluated using receiver operating characteristic (ROC) and decision curve analysis (DCA).Results: Tumor growth patterns and albumin-bilirubin (ALBI) score were significantly correlated with tumor response. Tumor growth patterns also showed a positive correlation with tumor burden (r = 0.634, P = 0.000). The Peritumor (AUC = 0.85, 0.71, and 0.77), Clinics_Peritumor (AUC = 0.86, 0.77, and 0.81), and Tumor_Peritumor (AUC = 0.87, 0.77, and 0.80) models significantly outperformed the Clinics and Tumor models (P < 0.05), while the Clinics_Tumor_Peritumor model (AUC = 0.88, 0.81, and 0.81) outperformed the Clinics (AUC = 0.67, 0.77, and 0.75), Tumor (AUC = 0.78, 0.72, and 0.68), and Clinics_Tumor (AUC = 0.82, 0.83, and 0.78) models (P < 0.05 or 0.053, respectively). The DCA curve demonstrated better predictive performance within a specific threshold probability range for Clinics_Tumor_Peritumor.Conclusion: Combining tumor growth patterns, intra- and peri-tumoral radiomics features, and ALBI score could be a robust tool for non-invasive and personalized prediction of treatment response to TACE in patients with HCC.Keywords: hepatocellular carcinoma, radiomics, tumor growth pattern, transarterial chemoembolization
Published: 2024

16. Developing and Validating of the Family Coping Scale for Patients with Chronic Heart Failure

Author: Zhang X, Zhou M, Jin X, Zhang Y, Wei W, Bai Y, and Ma F
Subjects: chronic heart failure, family coping, scale development, reliability, validity, Psychology, BF1-990, Industrial psychology, HF5548.7-5548.85
Abstract: Xiong Zhang,1 Min Zhou,1 Xiaorong Jin,1 Yimei Zhang,1 Wei Wei,2 Yangjuan Bai,3 Fang Ma1 1Department of Nursing, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People’s Republic of China; 2Digestive Surgery Department, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People’s Republic of China; 3Cardiology Department, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People’s Republic of ChinaCorrespondence: Fang Ma, Department of Nursing, The First Affiliated Hospital of Kunming Medical University, 295&num;, Xichang Road, Kunming, 650032, Provence Yunnan, People’s Republic of China, Email rebeccamalei@126.comBackground: : Family coping, as an essential part of family management of patients with chronic heart failure (CHF), is an important component of CHF interventions, affecting the health of patients, family members, and the whole family. It is necessary to understand the current situation of family coping in patients with CHF to facilitate the development of family interventions for patients with CHF. This study aims to develop and validate a tool for assessing the family coping scale for patients with CHF.Methods: The semi-structured interviews, expert consensus meetings, expert consultations, and item analysis were used to develop the initial scale. We employed classical test theory and exploratory factor analysis to scrutinize and refine the items in the scale. To validate the scale, we used confirmatory factor analysis to assess structural validity. We assessed internal consistency, and split-half reliability to ensure the scale’s robustness and accuracy.Results: The FCS-CHF consisted of 24 items, including six dimensions: strategies for better management of CHF, psychological coping, substantial support by family members, emergency coping, overall heart failure awareness, and patients’ health behavior. The results of confirmatory factor analysis showed that the scale fitted the data with well construct validity. The results of the confirmatory factor analysis for the overall goodness of fit indices for the fitted model were found to be acceptable for the scale. The scale demonstrates good reliability and validity, meeting the requirements of psychometrics.Conclusions: The FCS-CHF developed in this study is considered reliable and valid, which can measure family coping in patients with CHF and provide a basis for developing family coping enhancement strategies.Keywords: chronic heart failure, family coping, scale development, reliability, validity
Published: 2024

17. Analysis of the Current Status of Outcome Indicators of Randomised Controlled Trials of Traditional Chinese Medicine for the Treatment of Qi and Yin Deficiency in Coronary Heart Disease

Author: Zhou M, Li J, Xiao X, Lim J, and Xu Z
Subjects: coronary heart disease, deficiency of qi and yin, tcm, randomised controlled trials, outcome indicators, core indicator set., Medicine (General), R5-920
Abstract: Mi Zhou,1 Jieyun Li,1 Xinang Xiao,1 Jiekee Lim,1 Zhaoxia Xu1,2 1School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 2Shanghai Key Laboratory of Health Identification and Assessment, Shanghai, People’s Republic of ChinaCorrespondence: Zhaoxia Xu, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai, 201203, People’s Republic of China, Email zhaoxia7001@shutcm.edu.cnPurpose: To analyse the current status of outcome indicators in randomised controlled trials (RCTs) of traditional Chinese medicine (TCM) for the treatment of coronary heart disease (CHD) with deficiency of qi and yin, and to provide a basis for constructing a core indicator set (COS) for TCM treatment of CHD.Methods: We searched the database of China National Knowledge Infrastructure (CNKI), PubMed,etc. 8 databases in the last 5 years. RCTs of TCM for CHD included in core journals were evaluated for the risk of bias of the included studies, and the current status of the selection of outcome indicators was statistically analysed.Results: A total of 39 RCTs with a sample size of 44~398 cases were included, and 164 outcome indicators were reported, with a frequency of 383 applications. The outcome indicators were categorised into 6 indicator domains according to their functional attributes, which were, in descending order, safety indicators, physicochemical examination, effective rate, economic assessment, disease evidence score, and quality of life. The top 3 indicators in terms of frequency of application of outcome indicators were safety indicators, physical and chemical examination indicators, and efficiency, among which electrocardiogram, inflammation indicators, and clinical efficacy were the most frequently used; there were many different types of measurement tools for outcome indicators, among which total efficiency and TCM symptom points were the most frequently used; the time point of measurement was not the same.Conclusion: The RCTs of TCM for CHD in the last 5 years have many shortage in the selection of outcome indicators, and should actively promote the construction of the COS of TCM for CHD.Keywords: Coronary heart disease, deficiency of qi and yin, TCM, randomised controlled trials, outcome indicators, core indicator set
Published: 2024

18. Spin measurement of 4U 1543-47 with Insight-HXMT and NICER from its 2021 outburst: A test of accretion disk models at high luminosities

Author: Yorgancioglu, E. S., Bu, Q. C., Santangelo, A., Tao, L., Davis, S. W., Vahdat, A., Kong, L. D., Piraino, S., Zhou, M., and Zhang, S. N.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: 4U 1543--47 is one of a handful of known black hole candidates located in the Milky Way Galaxy, and has undergone a very bright outburst in 2021, reaching a total of $\sim$9 Crab, as observed by the Monitor of All-sky Image (MAXI), and exceeding twice its Eddington luminosity. The unprecedented bright outburst of 4U 1543--47 provides a unique opportunity to test the behavior of accretion disk models at high luminosities and accretion rates. In addition, we explore the possibility of constraining the spin of the source at high accretion rates, given that previous spin measurements of 4U 1543--47 have been largely inconsistent with each other. We measure the spectral evolution of the source throughout its outburst as observed by Insight-HXMT, and compare the behavior of both the thin disk model kerrbb2, as well as the slim disk model slimbh up to the Eddington limit for two different values of disk $\alpha$-viscosity. In addition, given the behavior of these two models, we identify two `golden' epochs for which it is most suitable to measure the spin with continuum fitting., Comment: 10 pages, 6 figures
Published: 2023
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19. The First LHAASO Catalog of Gamma-Ray Sources

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, della Volpe, D., Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo., X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena, High Energy Physics - Phenomenology
Abstract: We present the first catalog of very-high energy and ultra-high energy gamma-ray sources detected by the Large High Altitude Air Shower Observatory (LHAASO). The catalog was compiled using 508 days of data collected by the Water Cherenkov Detector Array (WCDA) from March 2021 to September 2022 and 933 days of data recorded by the Kilometer Squared Array (KM2A) from January 2020 to September 2022. This catalog represents the main result from the most sensitive large coverage gamma-ray survey of the sky above 1 TeV, covering declination from $-$20$^{\circ}$ to 80$^{\circ}$. In total, the catalog contains 90 sources with an extended size smaller than $2^\circ$ and a significance of detection at $> 5\sigma$. Based on our source association criteria, 32 new TeV sources are proposed in this study. Among the 90 sources, 43 sources are detected with ultra-high energy ($E > 100$ TeV) emission at $> 4\sigma$ significance level. We provide the position, extension, and spectral characteristics of all the sources in this catalog., Comment: 40 pages, 13 figures, 4 tables
Published: 2023
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20. Measurement of ultra-high-energy diffuse gamma-ray emission of the Galactic plane from 10 TeV to 1 PeV with LHAASO-KM2A

Author: Cao, Zhen, Aharonian, F., An, Q., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, della Volpe, D., Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Saiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo, X.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: The diffuse Galactic $\gamma$-ray emission, mainly produced via interactions between cosmic rays and the interstellar medium and/or radiation field, is a very important probe of the distribution, propagation, and interaction of cosmic rays in the Milky Way. In this work we report the measurements of diffuse $\gamma$-rays from the Galactic plane between 10 TeV and 1 PeV energies, with the square kilometer array of the Large High Altitude Air Shower Observatory (LHAASO). Diffuse emissions from the inner ($15^{\circ}10$~TeV). The energy spectrum in the inner Galaxy regions can be described by a power-law function with an index of $-2.99\pm0.04$, which is different from the curved spectrum as expected from hadronic interactions between locally measured cosmic rays and the line-of-sight integrated gas content. Furthermore, the measured flux is higher by a factor of $\sim3$ than the prediction. A similar spectrum with an index of $-2.99\pm0.07$ is found in the outer Galaxy region, and the absolute flux for $10\lesssim E\lesssim60$ TeV is again higher than the prediction for hadronic cosmic ray interactions. The latitude distributions of the diffuse emission are consistent with the gas distribution, while the longitude distributions show clear deviation from the gas distribution. The LHAASO measurements imply that either additional emission sources exist or cosmic ray intensities have spatial variations., Comment: 12 pages, 8 figures, 5 tables; accepted for publication in Physical Review Letters; source mask file provided as ancillary file
Published: 2023
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21. The Effects of Core–Shell-Structured SiO2@Ag Spheres in Enhancing the Performance of Ag-Flake-Filled Electrically Conductive Adhesive and Insight into the Conduction Mechanism

Author: Jiang, H., Zhou, M. B., and Zhang, X. P.
Published: 2024
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22. Dimension does matter: carbon-based substances with different dimensions exhibit opposite effects on soil CO2 and CH4production

Author: Zhou, L., Li, X., Zhang, P., Liu, J., Zhou, M., Dang, R., Vo, D.-V. N., and Kumar, P. S.
Published: 2024
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23. Observing the onset of the accretion wake in Vela X-1

Author: Diez, C. M., Grinberg, V., Fürst, F., Mellah, I. El, Zhou, M., Santangelo, A., Martínez-Núñez, S., Amato, R., Hell, N., and Kretschmar, P.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: High-Mass X-ray Binaries (HMXBs) offer a unique opportunity for the investigation of accretion onto compact objects and of wind structure in massive stars. A key source for such studies is the bright neutron star HMXB Vela X-1 whose convenient physical and orbital parameters facilitate the analysis and in particular enable studies of the wind structure in HMXBs. Here, we analyse simultaneous XMM-Newton and NuSTAR observations at $\phi_{\mathrm{orb}} \approx$ 0.36-0.52 and perform time-resolved spectral analysis down to the pulse period of the neutron star, based on our previous NuSTAR-only results. For the first time, we are able to trace the onset of the wakes in a broad 0.5-78 keV range with a high-time resolution of $\sim$283 s and compare to theoretical predictions. We observe a clear rise of the absorption column density of the stellar wind $N_{\mathrm{H,1}}$ starting at orbital phase $\sim$0.44, corresponding to the wake structure entering our line of sight towards the neutron star, together with local extrema throughout the observation possibly associated with clumps or other structures in the wind. Periods of high absorption reveal the presence of multiple fluorescent emission lines of highly ionised species, mainly in the soft X-ray band between 0.5 and 4 keV, indicating photoionisation of the wind., Comment: 18 pages, 18 figures
Published: 2023
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24. Bone Marrow Adipose Tissue as a Critical Regulator of Postmenopausal Osteoporosis - A Concise Review

Author: Niu H, Zhou M, and Xu X
Subjects: postmenopausal osteoporosis, bone marrow adipose tissue, bone metabolism, immune system, cytokin, Geriatrics, RC952-954.6
Abstract: Huifang Niu,1,2,&ast; Minfeng Zhou,1,&ast; Xiaoyun Xu,2 Xiaojuan Xu1 1Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China; 2Key Laboratory of Environment Correlative Dietology (Ministry of Education), Hubei Key Laboratory of Fruit Vegetable Processing Quality Control (Huazhong Agricultural University), School of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiaoyun Xu; Xiaojuan Xu, Email xuxiaoyun@mail.hzau.edu.cn; xu_xiaojuan2009@163.comAbstract: Postmenopausal osteoporosis (PMOP) is a major health problem affecting millions of women worldwide. PMOP patients are often accompanied by abnormal accumulation of bone marrow adipose tissue (BMAT). BMAT is a critical regulator of bone homeostasis, and an increasing BMAT volume is negatively associated with bone mass reduction or fracture. BMAT regulates bone metabolism via adipokines, cytokines and the immune system, but the specific mechanisms are largely unknown. This review emphasizes the impact of estrogen deficiency on bone homeostasis and BMAT expansion, and the mechanism by which BMAT regulates PMOP, providing a promising strategy for targeting BMAT in preventing and treating PMOP.Keywords: postmenopausal osteoporosis, bone marrow adipose tissue, bone metabolism, immune system, cytokines
Published: 2024

25. The Implication of Elevated Serum Myoglobin Level in Acute Diabetic Complications of Ketoacidosis and Hyperglycemic Hyperosmolar State: A Real-World Study

Author: Xu C, Wen S, Gong M, Dong M, Yuan Y, Li Y, Zhou M, and Zhou L
Subjects: diabetes mellitus, diabetic ketoacidosis, hyperosmolar hyperglycemic state, myoglobin, survival., Specialties of internal medicine, RC581-951
Abstract: Chenglin Xu,1,&ast; Song Wen,1,2,&ast; Min Gong,1,&ast; Meiyuan Dong,1,3,&ast; Yue Yuan,1 Yanyan Li,1 Mingyue Zhou,4 Ligang Zhou1,3,5 1Department of Endocrinology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, People’s Republic of China; 2Fudan Zhangjiang Institute, Fudan University, Shanghai, 201203, People’s Republic of China; 3Hebei Medical University, Shijiazhuang, 050013, People’s Republic of China; 4Clinical Research OB/GYN REI Division, University of California, San Francisco, CA, USA; 5Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Shanghai Pudong Hospital, Shanghai, 201399, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Ligang Zhou, Department of Endocrinology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, People’s Republic of China, Tel +8613611927616, Email zhouligang1n1@163.comObjective: To investigate the implications of elevated myoglobin (MYO) in acute diabetic conditions of diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS).Materials and methods: This study integrates in-patient data from Shanghai Pudong Hospital from 2019 to 2023. Laboratory data were compared between stable T2D patients (without acute diabetic complications), DKA, and HHS patients. The multilinear regression explored variables relevant to the elevated MYO in DKA and HHS. The dynamics of MYO, the survival rate, and associated risk factors in HHS were determined.Results: Except for triglyceride, procalcitonin, low-density lipoprotein, islet cell autoimmune antibodies, N-terminal Pro-brain natriuretic peptide (NT-ProBNP), and brain natriuretic peptide (BNP), there were significant differences in age, gender distribution, duration of diabetes, type of diabetes, and other referred laboratory data (p< 0.05). The age, gender, creatine kinase (CK), estimated glomerular filtration rate (eGFR), and free triiodothyronine (FT3) in DKA, whereas osmolar, uric acid (UA), and cardiac troponin I (cTNI) in the HHS, were significant determinants of elevated MYO, respectively (p< 0.05). The dynamic of MYO in HHS was in line with the survival trend, where the percentage of death was 29.73%, and aging with higher procalcitonin levels was a key risk factor. Besides, the cumulative survival rates between patients with or without bone fracture or muscle injury were substantially different.Conclusion: This real-world study demonstrated DKA and HHS potentially have unique causes for increased MYO. By utilizing the appropriate regression parameters, we could forecast the progression of increased MYO in groups of DKA and HHS, while based on risk factors of aging, severity of infection, and different MYO sources, we could predict the prognosis of HHS.Keywords: diabetes mellitus, diabetic ketoacidosis, hyperosmolar hyperglycemic state, myoglobin, survival
Published: 2024

26. Comparison of Clinical Characteristics and Treatment Outcome Between Localized and Disseminated Nocardiosis in a Tertiary Hospital in China

Author: Zhang L, Zhou M, Wang Z, Zhu H, Lin J, Lu M, Ge Y, Xu Y, Li T, and Liu Z
Subjects: nocardia, disseminated nocardiosis, immunosuppressive population, Infectious and parasitic diseases, RC109-216
Abstract: Li Zhang,1,&ast; Menglan Zhou,2,3,&ast; Ziran Wang,2,3,&ast; Hongqiong Zhu,4 Jing Lin,1,5 Minya Lu,2,3 Ying Ge,1 Yingchun Xu,2,3 Taisheng Li,1 Zhengyin Liu1 1Department of Infectious Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China; 2Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 3Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Peking Union Medical College Hospital, Beijing, People’s Republic of China; 4Department of Infectious Disease, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, People’s Republic of China; 5Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zhengyin Liu, Department of Infectious Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Number 1, Shuaifuyuan Road, Dongcheng District, Beijing, People’s Republic of China, Email zhengyinl@hotmail.comBackground: In China, due to the large population, infections caused by Nocardia may not be as rare. Unfortunately, there is still inadequate knowledge of the clinical impact caused by Nocardia. This study aimed to compare the clinical characteristics and treatment of localized and disseminated nocardiosis.Methods: The clinical and microbiological data of patients diagnosed with nocardiosis in a tertiary hospital in Beijing from July 2011 to July 2021 were collected and retrospectively analyzed.Results: Among the 54 nocardiosis cases, 34 cases were in the localized infection group, while 20 cases in the disseminated infection group. The proportion of patients with chronic structural lung disease was higher in the localized group (P=0.010). In contrast, patients with disseminated infections were more prone to receive long-term glucocorticoids and/or immunosuppressants (P=0.027). Pulmonary nodules were prominent features of imaging changes in patients with disseminated infections (P=0.027) whereas bronchial dilatation was more common in patients with localized infections (P=0.025). In addition, the disseminated group had longer average hospitalization days relative to the localized group (P=0.016), but there was no significant difference in mortality between them (P=0.942).Conclusion: There were differences in the clinical profiles between patients with localized and disseminated nocardiosis in terms of clinical presentation, infection site, radiological features, treatment, and prognosis. These findings may provide references for the management and treatment of patients with nocardiosis.Keywords: Nocardia, disseminated nocardiosis, immunosuppressive population
Published: 2024

27. Relationship Between Illness Uncertainty and Family Resilience Among Caregivers of Stroke Patients in Chinese Nuclear Families: The Mediating Role of Perceived Stress

Author: Li Q, Luo C, Ye J, Bian Z, Sun W, Zhou M, and Rong M
Subjects: nuclear family, stroke, caregivers, perceived stress, illness uncertainty, family resilience, Medicine (General), R5-920
Abstract: Qian Li,1,2 Caifeng Luo,1 Jianqin Ye,3 Zekun Bian,1 Weiyi Sun,1 Man Zhou,4 Mingzhu Rong4 1School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, People’s Republic of China; 2Department of Neurosurgery, Xiangcheng People’s Hospital, Suzhou, Jiangsu, People’s Republic of China; 3Department of Nursing, Xiangcheng People’s Hospital, Suzhou, Jiangsu, People’s Republic of China; 4Department of Neurology, Suzhou Municipal Hospital, Suzhou, Jiangsu, People’s Republic of ChinaCorrespondence: Caifeng Luo, School of Medicine, Jiangsu University, No. 301 Xuefu Road, Jingkou District, Zhenjiang, 212013, People’s Republic of China, Email lcf0105@163.comPurpose: Stroke is a major disease endangering the health of Chinese people, and patients need to rely on the care of family members, which brings heavy caregiving burdens and pressures to caregivers and families, thus disrupting the stable family structure. In view of this, this study was to analyse the current status of family resilience among caregivers of stroke patients in Chinese nuclear families, and to explore the correlation and mechanism of action among perceived stress, illness uncertainty and family resilience.Patients and Methods: This study used a cross-sectional research design. A total of 350 carers of stroke patients in nuclear families from four tertiary hospitals in Suzhou City, Jiangsu Province, China were selected by convenience sampling method and assessed by using demographic questionnaires, the Chinese Perceived Stress Scale (CPSS), the Parental Perceptions of Uncertainty Scale-Family (PPUS-FM), and a short Chinese version of the Family Resilience Assessment Scale (FRAS-C). Based on the above data, structural equation model was used to test the mediating role of perceived stress between illness uncertainty and family resilience.Results: Family resilience among caregivers of stroke patients in nuclear families was at the medium lower level, illness uncertainty was at the medium level, and perceived stress was at the relatively high level. Illness uncertainty was positively correlated with perceived stress (P< 0.01) and negatively correlated with family resilience (P< 0.01). Illness uncertainty directly predicted family resilience (β = − 0.516, p < 0.05). And the pathway between illness uncertainty and family resilience was partially mediated by perceived stress (Effect= − 0.091, 95% CI [− 0.141, − 0.055]).Conclusion: Healthcare professionals should pay adequate attention to the level of illness uncertainty and perceived stress among carers of stroke patients, with the need to take measures to reduce carers’ illness uncertainty and perceived stress in order to improve family resilience.Keywords: nuclear family, stroke, caregivers, perceived stress, illness uncertainty, family resilience
Published: 2024

28. Analysis of the Current Status of Nurses’ Knowledge of Pressure Injuries and Factors Influencing It in Shaanxi Province, China: A Cross-Sectional Study

Author: Luo L, Wen X, Wang J, Xiao Q, Su L, and Zhou M
Subjects: pressure injury, knowledge, prevention, management, influencing factor, Public aspects of medicine, RA1-1270
Abstract: Liqun Luo,1 Xiulin Wen,1 Jingrong Wang,2 Qian Xiao,3 Liuju Su,3 Min Zhou3 1Department of Nursing, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China; 2Department of Surgical, The Second Affiliated Hospital of the Air Force Military Medical University, Xi’an, People’s Republic of China; 3School of Public Health, Shaanxi University of Chinese Medicine, Xianyang, People’s Republic of ChinaCorrespondence: Xiulin Wen, Tel +86 13991893501, Email 332919997@qq.comBackground: Pressure injuries are present in all healthcare environments and not only pose a significant health risk to individuals but also impose a heavy economic burden on society and families. Nurses, as the primary caregivers responsible for the prevention and management of pressure injuries, have knowledge that directly determines the incidence of pressure injuries.Aim: To understand the current status of nurses’ knowledge of pressure injuries in Shaanxi Province and the factors influencing it.Design: A cross-sectional survey.Methods: In April - May 2022, 16,599 nurses from hospitals at all levels in Shaanxi Province were selected as survey subjects by convenience sampling method. They were surveyed using the general information questionnaire and the Pieper-Zulkowski pressure injury Knowledge Questionnaire through the Questionnaire Star platform.Results: 16,599 nurses had a pressure injury knowledge score of (44.32± 10.11). Wound description and pressure ulcer staging dimensions were less than 60% correct. Comparison of pressure injury knowledge scores of nursing staff with different genders, hospital levels, titles, education, whether they were specialized nurses in wound stoma when they last attended a lecture on pressure ulcers, when they last read literature or books on pressure ulcers, and whether they ever looked for information about pressure ulcers on the Internet showed that the differences were statistically significant (P < 0.05), which were the influencing factors of the knowledge scores of the nursing staff in Shaanxi Province.Conclusion: Clinical nurses’ awareness of stress-related injuries still needs to be improved, and nursing administrators can improve the quality of pressure-related injury care by increasing nursing staff’s awareness through continuing education, tiered training, and other measures.Keywords: pressure injury, knowledge, prevention, management, influencing factor
Published: 2024

29. Patient-Centered Positive Factors Influencing Glycemic Control in Adolescents with Type 1 Diabetes Mellitus in China: A Cross-Sectional and Longitudinal Study

Author: Yu J, Wang H, Zhu M, Zhou M, and Xu J
Subjects: type 1 diabetes mellitus, t1dm, hemoglobin a1c, hba1c, adolescent, self-care, resilience, Medicine (General), R5-920
Abstract: Jian Yu,1,&ast; Hong Wang,1,&ast; Min Zhu,1,&ast; Meijing Zhou,1 Jingjing Xu1– 3 1Department of Endocrinology, The First Affiliated Hospital with Nanjing Medical University (Jiangsu Province Hospital), Nanjing, LA, 210029, People’s Republic of China; 2Department of Nursing, The First Affiliated Hospital with Nanjing Medical University (Jiangsu Province Hospital), Nanjing, LA, 210036, People’s Republic of China; 3School of Public Health, Nanjing Medical University, Nanjing, LA, 210036, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jingjing Xu, The First Affiliated Hospital with Nanjing Medical University (Jiangsu Province Hospital), Nanjing, LA, 210029, People’s Republic of China, Email dsnxjj@njmu.edu.cnObjective: This study aimed to explore the stable longitudinal patient-centered self-protective factors of glycosylated hemoglobin (HbA1c) in adolescents with type 1 diabetes mellitus (T1DM).Methods: We used both cross-sectional and longitudinal datasets at the Diabetes Education Center and National Endocrine and Metabolism Centre of a university hospital in China from April 2020 to July 2022. Participants were assessed using the Adolescent Diabetic Behavior Rating Scale (DBRS), Diabetes Strengths and Resilience Measure for Adolescents (DSTAR-Teen). HbA1c and other clinical variables were obtained from the medical record at the same time. 266 adolescents (131 male, age 14.1± 3.9 years) completed the cross-sectional assessments and 131 (62 male, age 14.6± 3.3 years) participated in a follow-up at a 1-year visit interval.Results: Logistic regression analysis of cross-sectional data of 266 cases showed that there were significant positive effects between pump treatment (β=0.090, OR 2.460, P=0.005), DBRS scores (β=2.593, OR 13.366, P=0.002) and the meeting of standard HbA1c (< 7.5%, 58 mmol/mol). Disease duration (β=− 0.071, OR 0.932, P=0.033) was negatively correlated with it. The longitudinal multivariate generalized estimation equation model showed that DBRS scores (β=3.165, OR 23.681, P=0.009) and DSTAR-Teen scores (β=0.050, OR 1.051, P=0.012) had a positive influence on the meeting of standard HbA1c over one year time of 131 cases.Conclusion: Self-care and resilience had higher cross-temporal stability in influencing glycemic control over time. To reach a better glycemic control and improve long-term health outcomes, attention should be paid to the detection and enhancement of these patient-centered promoters.Keywords: type 1 diabetes mellitus, T1DM, hemoglobin a1c, hba1c, adolescent, self-care, resilience
Published: 2024

30. Kimura Disease: A Detailed Analysis of Clinical and Radiological Manifestations in a Retrospective Case Series

Author: Zhao F, Zhou M, Mao A, Zhang Y, and Chen Y
Subjects: kimura disease, computed tomography (ct), magnetic resonance imaging (mri), eosinophilia., Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract: Fanfan Zhao,1 Min Zhou,2 An Mao,3 Yingjiao Zhang,4 Yao Chen2 1Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang Province, People’s Republic of China; 2Department of Radiology, 903 Hospital of the Joint Service Support Force of the Chinese People’s Liberation Army, Hangzhou, Zhejiang Province, People’s Republic of China; 3Department of Outpatient, 903 Hospital of the Joint Service Support Force of the Chinese People’s Liberation Army, Hangzhou, Zhejiang Province, People’s Republic of China; 4Department of Gastroenterology, 903 Hospital of the Joint Service Support Force of the Chinese People’s Liberation Army, Hangzhou, Zhejiang Province, People’s Republic of ChinaCorrespondence: Yao Chen, Department of Radiology, 903 Hospital of the Joint Service Support Force of the Chinese People’s Liberation Army, Hangzhou, Zhejiang Province, People’s Republic of China, Email chenyao19970712@163.comBackground: Kimura disease (KD) is a rare chronic inflammatory disease that affects mainly young Asian men and is characterized by painless subcutaneous masses, lymphadenopathy, and elevated serum IgE levels. Despite its benign nature, KD poses a diagnostic and therapeutic challenge due to its rarity and clinical variability.Objective: This study aimed to provide a comprehensive analysis of the clinical and radiological features of KD in a retrospective case series, to assess treatment outcomes, and to discuss the implications for diagnosis and management.Methods: We retrospectively analyzed four histologically confirmed cases of KD admitted to Zhejiang Provincial People’s Hospital from January 2018 to October 2023. Clinical and radiological data were retrospectively analyzed, and imaging findings were analyzed by two neuroradiologists to determine lesion characteristics and contrast enhancement patterns.Results: Our findings showed that the patients were predominantly male, with a mean age of 43 years and an age range of 13– 71 years. All patients presented with painless subcutaneous masses and three of them had peripheral blood eosinophilia and elevated serum IgE levels. Radiographically, the lesions were predominantly ill-defined with heterogeneous enhancement, accompanied by subcutaneous fat atrophy. Complete surgical excision and oral corticosteroids were effective treatments, and no recurrence was noted during follow-up.Conclusion: KD should be considered in the differential diagnosis of painless subcutaneous masses in the head and neck region, especially in the presence of eosinophilia and elevated IgE levels. Our findings contribute to the understanding of KD’s clinical and radiological spectrum and highlight the need for long-term follow-up due to the risk of recurrence.Keywords: Kimura disease, computed tomography, CT, magnetic resonance imaging, MRI, eosinophilia
Published: 2024

31. The Effectiveness of Polyhexanide in Treating Wound Infections Due to Methicillin-Resistant Staphylococcus Aureus: A Prospective Analysis

Author: Zhou M, Liu Y, Fang X, Jiang Z, Zhang W, and Wang X
Subjects: methicillin-resistant staphylococcus aureus, wound, polyhexanide, Infectious and parasitic diseases, RC109-216
Abstract: Min Zhou,1,&ast; Yuping Liu,2,&ast; Xue Fang,1 Zhezhen Jiang,1 Wang Zhang,1 Xin Wang1 1Department of Orthopaedics Trauma and Microsurgery, Zhongnan Hospital of Wuhan University, Wuhan City, People’s Republic of China; 2Sichuan University West China Second University Hospital, Department of Anesthesiology, Chengdu, Sichuan, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xin Wang, Department of Orthopedics Trauma and Microsurgery, Zhongnan Hospital of Wuhan University, Wuhan Ctiy, Hubei Province, 430000, People’s Republic of China, Tel +86-027-67812557, Email wangxinznyy@whu.edu.cnPurpose: Polyhexanide is a safe and effective wound care antiseptic commonly used in clinics as wound rinsing solution and gel. However, the efficacy of Polyhexanide in treatment of wound infected with MRSA (methicillin-resistant Staphylococcus aureus) is unknown. The aim of this study is to assess the effectiveness of polyhexanide with povidone iodine in treating wound infected with MRSA.Patients and Methods: A prospective analysis of 62 patients with wound infections, who were admitted to our department from 2016 to 2020, was conducted in order to assess the efficacy of different treatment approaches. The patients were divided into two groups: the experimental group and the control group. In the experimental group, 30 patients underwent treatment with a combination of diluted povidone iodine and polyhexanide immersion. Conversely, in the control group, 32 patients received treatment with diluted povidone iodine along with systemic antibiotic therapy. The time required for dressing changes, bacterial clearance rates, and the Bates-Jasen wound assessment tool (BWAT) scores were utilized as indicators to evaluate the effectiveness of the treatments.Results: In our study, the findings indicated that the experimental group exhibited a lesser number of days for the bacteria culture to turn negative compared to the control group, with statistical significance (p< 0.05). Furthermore, the decline in the BWAT score was significantly greater in the experimental group than in the control group (p< 0.05). However, no significant differences were observed in terms of dressing times and wound coverage between the two groups (p> 0.05).Conclusion: Polyhexanide combined with povidone iodine can effectively remove MRSA infection in wounds and reduce antibiotic dosages.Keywords: methicillin-resistant staphylococcus aureus, wound, polyhexanide
Published: 2024

32. Targeted siRNA Therapy for Psoriasis: Translating Preclinical Potential into Clinical Treatments

Author: Zhao F, Zhao J, Wei K, Jiang P, Shi Y, Chang C, Zheng Y, Shan Y, Li Y, He B, Zhou M, Liu J, Li L, Guo S, and He D
Subjects: psoriasis, sirna, keratinocytes, targeted delivery, Immunologic diseases. Allergy, RC581-607
Abstract: Fuyu Zhao,1– 3,&ast; Jianan Zhao,1– 3,&ast; Kai Wei,1– 3 Ping Jiang,1– 3 Yiming Shi,1– 3 Cen Chang,1– 3 Yixin Zheng,1– 3 Yu Shan,1– 3 Yunshen Li,1– 3 Bingheng He,4 Mi Zhou,1,3 Jia Liu,1,3 Li Li,1,3 Shicheng Guo,1 Dongyi He1– 3 1Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 2Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 3Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, People’s Republic of China; 4Department of Rehabilitation, Tongren Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Dongyi He, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People’s Republic of China, Email dongyihe@medmail.com.cnAbstract: Psoriasis is a chronic inflammatory skin disease characterized by the excessive proliferation of keratinocytes and heightened immune activation. Targeting pathogenic genes through small interfering RNA (siRNA) therapy represents a promising strategy for the treatment of psoriasis. This mini-review provides a comprehensive summary of siRNA research targeting the pathogenesis of psoriasis, covering aspects such as keratinocyte function, inflammatory cell roles, preclinical animal studies, and siRNA delivery mechanisms. It details recent advancements in RNA interference that modulate key factors including keratinocyte proliferation (Fibroblast Growth Factor Receptor 2, FGFR2), apoptosis (Interferon Alpha Inducible Protein 6, G1P3), differentiation (Grainyhead Like Transcription Factor 2, GRHL2), and angiogenesis (Vascular Endothelial Growth Factor, VEGF); immune cell infiltration and inflammation (Tumor Necrosis Factor-Alpha, TNF-α; Interleukin-17, IL-17); and signaling pathways (JAK-STAT, Nuclear Factor Kappa B, NF-κB) that govern immunopathology. Despite significant advances in siRNA-targeted treatments for psoriasis, several challenges persist. Continued scientific developments promise the creation of more effective and safer siRNA medications, potentially enhancing the quality of life for psoriasis patients and revolutionizing treatments for other diseases. This article focuses on the most recent research advancements in targeting the pathogenesis of psoriasis with siRNA and explores its future therapeutic prospects.Keywords: psoriasis, siRNA, keratinocytes, targeted delivery
Published: 2024

33. PVALB Was Identified as an Independent Prognostic Factor for HCC Closely Related to Immunity, and Its Absence Accelerates Tumor Progression by Regulating NK Cell Infiltration

Author: Gong Y, Zhou M, Zhu Y, Pan J, Zhou X, Jiang Y, Zeng H, Zheng H, Geng X, and Huang D
Subjects: pvalb, hepatocellular carcinoma, immune, cerna, bioinformatics, prognostic factor, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Yiyang Gong,1,2,&ast; Minqin Zhou,2,&ast; Yanting Zhu,2,&ast; Jingying Pan,2 Xuanrui Zhou,2 Yike Jiang,2 Hong Zeng,2 Hao Zheng,2 Xitong Geng,2 Da Huang1 1Department of Thyroid Surgery; Second Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China; 2Second College of Clinical Medicine, Nanchang University, Nanchang, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Da Huang, Department of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, Jiangxi Province, 330000, People’s Republic of China, Tel +13576113993, Email danmo0904@163.comPurpose: Hepatocellular carcinoma is the most common primary liver cancer, with poor prognosis. Complex immune microenvironment of the liver is linked to the development of HCC. PVALB is a calcium-binding protein which has been described as a cancer suppressor gene in thyroid cancer and glioma. Nevertheless, the role of PVALB in HCC is unknown.Materials and Methods: We obtained data from TCGA and GSE54236 datasets. MCP-counter, WGCNA and LASSO model were applied to identify PVALB. With UALCAN, MethSurv, and other websites, we probed the expression, methylation and survival of PVALB. LinkedOmics and GSEA were adopted for functional analysis, while TIMER, TISIDB, Kaplan-Meier plotter, TIDE databases were utilized to evaluate the relevance of PVALB to the tumor immune microenvironment and predict immunotherapy efficacy. TargetScan, DIANA, LncRNASNP2 databases and relevant experiments were employed to construct ceRNA network. Finally, molecular docking and drug sensitivity of PVALB were characterized by GeneMANIA, CTD, and so on.Results: PVALB was recognized as a gene associated with HCC and NK cell. Its expression was down-regulated in HCC tissue, which lead to adverse prognosis. Besides, the hypomethylation of PVALB was related to its reduced expression. Notably, PVALB was tightly linked to immune, and its reduced expression attenuated the anticancer effect of NK cells via the Fas/FasL pathway, leading to a adverse outcome. The lnc-YY1AP1-3/hsa-miR-6735-5p/PVALB axis may regulate the PVALB expression. Finally, we found immunotherapy might be a viable treatment option.Conclusion: In a word, PVALB is a prognostic indicator, whose low expression facilitates HCC progression by impacting NK cell infiltration.Keywords: PVALB, hepatocellular carcinoma, immune, ceRNA, bioinformatics, prognostic factor
Published: 2024

34. Misdiagnosis Diagnosis of Pneumocystis Pneumonia as Chemical Pneumonitis

Author: Zhou M, Jiang X, Kong Y, and Liu X
Subjects: chemical pneumonitis, high-resolution ct, misdiagnosis, pneumocystis pneumonia, printing and dyeing auxiliaries, Infectious and parasitic diseases, RC109-216
Abstract: Mi Zhou,&ast; Xinyu Jiang,&ast; Yulin Kong, Xiaolin Liu Department of Occupational Disease, The Fifth People’s Hospital of Suzhou, Jiangsu, 215100, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiaolin Liu, Department of Occupational Disease, The Fifth People’s Hospital of Suzhou, No. 10 of Guangqian Road, Xiangcheng District, Suzhou, Jiangsu, 215100, People’s Republic of China, Tel +86 13862098055, Email xiaolinliulxl@126.comBackground: Auxiliaries, a mixed chemicals, for printing and dyeing characterized by their diverse range and complex chemical compositions are commonly utilized in the textile industry. These chemicals can lead to environmental contamination and pose health risks to humans.Case Description: A 29-year-old man who worked in a printing and dyeing factory in Suzhou, China, reported having tightness in his chest and coughing. Despite seeking medical treatment at several hospitals, the initial diagnosis remained elusive. High-resolution chest CT scans showed multifocal lesions in both lungs. The patient had no significant medical history, and the respiratory symptoms only surfaced after exposure to dyeing auxiliaries. Physicians initially suspected chemical pneumonitis due to occupational exposure. However, a subsequent evaluation at a hospital specializing in occupational diseases led to a diagnosis of AIDS and pneumocystis pneumonia.Conclusion: This case underscores the importance of comprehensive clinical diagnosis to avoid biases and reduce the incidence of misdiagnosis.Keywords: chemical pneumonitis, high-resolution CT, misdiagnosis, pneumocystis pneumonia, printing and dyeing auxiliaries
Published: 2024

35. Monte-Carlo simulations on possible collimation effects of outflows to fan-beamed emission of ultraluminous accreting X-ray pulsars

Author: Hou, X., You, Y., Ji, L., Soria, R., Zhang, S. N., Ge, M. Y., Tao, L., Zhang, S., Feng, H., Zhou, M., Tuo, Y. L., Song, L. M., and Wang, J. C.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: Pulsating ultraluminous X-ray sources (PULXs) are accreting pulsars with apparent X-ray luminosity exceeding $10^{39}\, \rm erg\ s^{-1}$. We perform Monte-Carlo simulations to investigate whether high collimation effect (or strong beaming effect) is dominant in the presence of accretion outflows, for the fan beam emission of the accretion column of the neutron stars in PULXs. We show that the three nearby PULXs (RX J0209.6$-$7427, Swift J0243.6+6124 and SMC X-3), namely the three musketeers here, have their main pulsed emission not strongly collimated even if strong outflows exist. This conclusion can be extended to the current sample of extragalactic PULXs, if accretion outflows are commonly produced from them. This means that the observed high luminosity of PULXs is indeed intrinsic, which can be used to infer the existence of very strong surface magnetic fields of $\sim10^{13-14}$ G, possibly multipole fields. However, if strong outflows are launched from the accretion disks in PULXs as a consequence of disk spherization by radiation pressure, regular dipole magnetic fields of $\sim10^{12}$ G may be required, comparable to that of the three musketeers, which have experienced large luminosity changes from well below their Eddington limit ($2\times10^{38}\, \rm erg\ s^{-1}$ for a NS) to super-Eddington and their maximum luminosity fills the luminosity gap between Galactic pulsars and extragalactic PULXs., Comment: 26 pages, 8 figures, 1 table. Accepted by ApJ
Published: 2022
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36. The spectral-timing analysis of Cygnus X-1 with Insight-HXMT

Author: Zhou, M., Grinberg, V., Bu, Q. -C., Santangelo, A., Cangemi, F., Diez, C. M., König, O., Ji, L., Nowak, M. A., Pottschmidt, K., Rodriguez, J., Wilms, J., Zhang, S., Qu, J. -L., and Zhang, S. -N.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: Cygnus X-1, as the first discovered black hole binary, is a key source for understanding the mechanisms of state transitions, and the scenarios of accretion in extreme gravity fields. We present a spectral-timing analysis of observations taken with the Insight-HXMT mission, focusing on the spectral-state dependent timing properties in the broad energy range of 1--150 keV, thus extending previous RXTE-based studies to both lower and higher energies. Our main results are the following: a) We successfully use a simple empirical model to fit all spectra, confirming that the reflection component is stronger in the soft state than in the hard state; b) The evolution of the total fractional root mean square (rms) depends on the selected energy band and the spectral shape, which is a direct result of the evolution of the power spectral densities (PSDs); c) In the hard/intermediate state, we see clear short-term variability features and a positive correlation between central frequencies of the variability components and the soft photon index $\Gamma_1$, also at energies above 15 keV. The power spectrum is dominated by red noise in the soft state instead. These behaviors can be traced to at least 90 keV; d) The coherence and the phase-lag spectra show different behaviors dependent on different spectral shapes., Comment: 18 pages, 16 figures, 1 table. accepted for publication in Astronomy & Astrophysics
Published: 2022
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37. Fan beamed X-ray emission from 1 keV to above 130 keV from the ultraluminous X-ray pulsar RX J0209.6-7427 in the Small Magellanic Cloud

Author: Hou, X., Ge, M. Y., Ji, L., Zhang, S. N., You, Y., Tao, L., Zhang, S., Soria, R., Feng, H., Zhou, M., Tuo, Y. L., Song, L. M., and Wang, J. C.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: We present detailed timing and spectral analyses of the transient X-ray pulsar RX J0209.6$-$7427 in the Small Magellanic Cloud during its 2019 giant outburst. With a better known distance than most galactic X-ray pulsars, its peak luminosity is determined to be $(1.11\pm0.06)\times 10^{39}\, \rm erg\ s^{-1}$; it is thus a {\it bonda fide} pulsating ultraluminous X-ray source (PULX). Owing to the broad energy band of \textit{Insight}-HXMT, its pulsed X-ray emission was detected from 1 keV up to the 130$-$180 keV band, which is the highest energy emission detected from any PULXs outside the Milky Way. This allows us to conclude that its main pulsed X-ray emission is from the "fan beam" of the accretion column, and its luminosity is thus intrinsic. We also estimate its magnetic field of (4.8$-$8.6)$\times10^{12}$ G or (1.7$-$2.2)$\times10^{13}$ G, from its spin evolution or transition in the accretion column structure during the outburst; we suggest that the two values of the magnetic field strength correspond to the dipole and multipole magnetic fields of the neutron star, similar to the recent discovery in the Galactic PULX Swift J0243.6+6124. Therefore, the nature of the neutron star and its ULX emission can be understood within the current theoretical frame of accreting neutron stars. This may have implications for understanding the nature of those farther away extragalactic PULXs., Comment: 31 pages, 14 figures, 5 tables. Accepted by ApJ
Published: 2022

38. A multi-cubic-kilometre neutrino telescope in the western Pacific Ocean

Author: Ye, Z. P., Hu, F., Tian, W., Chang, Q. C., Chang, Y. L., Cheng, Z. S., Gao, J., Ge, T., Gong, G. H., Guo, J., Guo, X. X., He, X. G., Huang, J. T., Jiang, K., Jiang, P. K., Jing, Y. P., Li, H. L., Li, J. L., Li, L., Li, W. L., Li, Z., Liao, N. Y., Lin, Q., Lin, J., Liu, F., Liu, J. L., Liu, X. H., Miao, P., Mo, C., Morton-Blake, I., Peng, T., Sun, Z. Y., Tang, J. N., Tang, Z. B., Tao, C. H., Tian, X. L., Wang, M. X., Wang, Y., Wang, Y., Wei, H. D., Wei, Z. Y., Wu, W. H., Xian, S. S., Xiang, D., Xu, D. L., Xue, Q., Yang, J. H., Yang, J. M., Yu, W. B., Zeng, C., Zhang, F. Y. D., Zhang, T., Zhang, X. T., Zhang, Y. Y., Zhi, W., Zhong, Y. S., Zhou, M., Zhu, X. H., and Zhuang, G. J.
Published: 2023
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39. Greenhouse gas emissions from agricultural land use in the coastal area of Red River Delta

Author: Ha, L. T. T., An, N. T., Ha, N. T., Zhou, M., Brüggemann, N., and Cong, V. H.
Published: 2023
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40. Validation of Core Ingredients and Molecular Mechanism of Cinobufotalin Injection Against Liver Cancer

Author: Chen S, Li M, Xue C, Zhou X, Wei J, Zheng L, Duan Y, Deng H, Tang F, Xiong W, Xiang B, and Zhou M
Subjects: cinobufotalin injection, liver cancer, cinobufagin, network pharmacology, cell cycle, core ingredients, Therapeutics. Pharmacology, RM1-950
Abstract: Shipeng Chen,1– 3 Mengna Li,1– 3 Changning Xue,1– 3 Xiangting Zhou,1– 3 Jianxia Wei,1– 3 Lemei Zheng,1– 3 Yumei Duan,1– 3 Hongyu Deng,1 Faqing Tang,1 Wei Xiong,1– 3 Bo Xiang,1– 3 Ming Zhou1– 3 1NHC Key Laboratory of Carcinogenesis, Hunan Key Laboratory of Oncotarget Gene, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, People’s Republic of China; 2Cancer Research Institute, Central South University, Changsha, 410078, People’s Republic of China; 3The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Central South University, Changsha, 410078, People’s Republic of ChinaCorrespondence: Ming Zhou; Bo Xiang, Email zhouming2001@163.com; xiangbolin@csu.edu.cnPurpose: Cinobufotalin injection has obvious curative effects on liver cancer patients with less toxicity and fewer side effects than other therapeutic approaches. However, the core ingredients and mechanism underlying these anti-liver cancer effects have not been fully clarified due to its complex composition.Methods: Multidimensional network analysis was used to screen the core ingredients, key targets and pathways underlying the therapeutic effects of cinobufotalin injection on liver cancer, and in vitro and in vivo experiments were performed to confirm the findings.Results: By construction of ingredient networks and integrated analysis, eight core ingredients and ten key targets were finally identified in cinobufotalin injection, and all of the core ingredients are tightly linked with the key targets, and these key targets are highly associated with the cell cycle-related pathways, supporting that both cinobufotalin injection and its core ingredients exert anti-liver cancer roles by blocking cell cycle-related pathways. Moreover, in vitro and in vivo experiments confirmed that either cinobufotalin injection or one of its core ingredients, cinobufagin, significantly inhibited cell proliferation, colony formation, cell cycle progression and xenograft tumor growth, and the key target molecules involved in the cell cycle pathway such as CDK1, CDK4, CCNB1, CHEK1 and CCNE1, exhibit consistent changes in expression after treatment with cinobufotalin injection or cinobufagin. Interestingly, some key targets CDK1, CDK4, PLK1, CHEK1, TTK were predicted to bind with multiple of core ingredients of cinobufotalin injection, and the affinity between one of the critical ingredients cinobufagin and key target CDK1 was further confirmed by SPR assay.Conclusion: Cinobufotalin injection was confirmed to includes eight core ingredients, and they play therapeutic effects in liver cancer by blocking cell cycle-related pathways, which provides important insights for the mechanism of cinobufotalin injection antagonizing liver cancer and the development of novel small molecule anti-cancer drugs. Keywords: cinobufotalin injection, liver cancer, cinobufagin, network pharmacology, cell cycle, core ingredients
Published: 2024

41. Effect of S-Ketamine on Postoperative Nausea and Vomiting in Patients Undergoing Video-Assisted Thoracic Surgery: A Randomized Controlled Trial

Author: Qi Y, Zhou M, Zheng W, Dong Y, Li W, Wang L, Xu H, Zhang M, Yang D, and Zhou H
Subjects: s-ketamine, postoperative nausea and vomiting, hemodynamics, non-opioid analgesic, postoperative pain, video-assisted thoracoscopic surgery lobectomy, Therapeutics. Pharmacology, RM1-950
Abstract: Yu Qi,1– 3,&ast; Meiyan Zhou,1– 3,&ast; Wenting Zheng,1,2,&ast; Yaqi Dong,1,2 Weihua Li,2,4 Long Wang,1,2 Haijun Xu,1,2 Miao Zhang,1,5 Dunpeng Yang,1,5 Liwei Wang,1– 3 Hai Zhou1– 3 1The Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu, People’s Republic of China; 2Department of Anesthesiology, Xuzhou Central Hospital, Xuzhou, Jiangsu, People’s Republic of China; 3Jiangsu Province Key Laboratory of Anesthesiology Xuzhou Medical University, Xuzhou, Jiangsu, People’s Republic of China; 4College of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, People’s Republic of China; 5Department of Cardiothoracic Surgery, Xuzhou Central Hospital, Xuzhou, Jiangsu, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Hai Zhou; Liwei Wang, The Xuzhou Clinical College of Xuzhou Medical University, Department of Anesthesiology, Xuzhou Central Hospital, Xuzhou, Jiangsu, People’s Republic of China, Email zhouhai339339@163.com; doctorlww@sina.comPurpose: Postoperative nausea and vomiting (PONV) frequently occur in patients after surgery. In this study, the authors investigated whether perioperative S-ketamine infusion could decrease the incidence of PONV in patients undergoing video-assisted thoracoscopic surgery (VATS) lobectomy.Patients and Methods: This prospective, randomized, double-blinded, controlled study was conducted a total of 420 patients from September 2021 to May 2023 at Xuzhou Central Hospital in China, who underwent elective VATS lobectomy under general anesthesia with tracheal intubation. The patients were randomly assigned to either the S-ketamine group or the control group. The S-ketamine group received a bolus injection of 0.5 mg/kg S-ketamine and an intraoperative continuous infusion of S-ketamine at a rate of 0.25 mg/kg/h. The control group received an equivalent volume of saline. All patients were equipped with patient-controlled intravenous analgesia (PCIA), with a continuous infusion rate of 0.03 mg/kg/h S-ketamine in the S-ketamine group or 0.03 μg/kg/h sufentanil in the control group. The primary outcome was the incidence of PONV. Secondary outcomes included perioperative opioid consumption, hemodynamics, postoperative pain, and adverse events.Results: The incidence of PONV in the S-ketamine group (9.7%) was significantly lower than in the control group (30.5%). Analysis of perioperative opioid usage revealed that remifentanil usage was 40.0% lower in the S-ketamine group compared to the control group (1414.8 μg vs 2358.2 μg), while sufentanil consumption was 75.2% lower (33.1 μg vs 133.6 μg). The S-ketamine group demonstrated better maintenance of hemodynamic stability. Additionally, the visual analogue scale (VAS) scores on postoperative day 1 (POD-1) and postoperative day 3 (POD-3) were significantly lower in the S-ketamine group. Finally, no statistically significant difference in other postoperative adverse reactions was observed between the two groups.Conclusion: The results of this trial indicate that perioperative S-ketamine infusion can effectively reduce the incidence of PONV in patients undergoing VATS lobectomy.Keywords: S-ketamine, postoperative nausea and vomiting, hemodynamics, non-opioid analgesic, postoperative pain, video-assisted thoracoscopic surgery lobectomy
Published: 2024

42. Research Status and Trends of Traditional Chinese Medicine Therapeutic Formulae for Coronary Heart Disease Scientometrics Research

Author: Zhou M, Li J, Xiao X, Lim J, Tian Z, Wang D, Zhang N, and Xu Z
Subjects: coronary heart disease, traditional chinese medicine, therapeutic formulae, scientometrics, Medicine (General), R5-920
Abstract: Mi Zhou,1 Jieyun Li,1 Xinang Xiao,1 Jiekee Lim,1 Zhikui Tian,2 Dongjun Wang,3 Naijin Zhang,4 Zhaoxia Xu1,5 1College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People’s Republic of China; 2College of Rehabilitation Medicine, Qilu Medical University, Zibo, 255000, People’s Republic of China; 3College of Traditional Chinese Medicine, North China University of Science and Technology, Tangshan, 063210, People’s Republic of China; 4College of Public Health and Health Sciences, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People’s Republic of China; 5Shanghai Key Laboratory of Health Identification and Assessment, Shanghai, 201203, People’s Republic of ChinaCorrespondence: Zhaoxia Xu, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai, 201203, People’s Republic of China, Email zhaoxia7001@shutcm.edu.cnAim of the Study: This study analyzes research on TCM formulae in CHD over the past 30 years, using VOSviewer and CiteSpace. It aims to highlight key trends and hotspots in the field.Materials and Methods: The core database of Web of Science was collected, and the search time range was from the establishment of the database to the present (August 2023) for the literature related to the study of TCM prescriptions in CHD, and the information on the number of literature, countries, journals, authors, institutions, keywords were summarized by applying the software VOSviewer and CiteSpace.Results: A total of 135 kinds of literature were included. The number of published journal papers on research on TCM therapeutic formulae for CHD showed an upward trend; China was the most prolific country in this field; the largest number of papers were published in Evid Based Complement Alternat Med, MEDICINE; the average number of citations for authors and institutional analysis revealed that Xu Hao of China Academy of Traditional Chinese Medicine, Mao Jingyuan of Tianjin University of Traditional Chinese Medicine, and Shang Hongcai of Beijing University of Traditional Chinese Medicine constituted the core team of researchers studying the study of TCM formulae for CHD; the keyword analysis suggests that there are mainly 42 specifically named TCM formulae for the treatment of CHD, which are classified into a total of 7 major categories, and the research direction is mainly in the clinical efficacy study of different TCM therapeutic formulae and other aspects.Conclusion: This study shows that there are more types of TCM therapeutic formulae for CHD, and the related research has a good prospect. It is foreseeable that more relevant research results will rely on the study of network pharmacology, signalling pathways, and action targets of TCM therapeutic formulae. Keywords: coronary heart disease, Traditional Chinese Medicine, therapeutic formulae, scientometrics
Published: 2024

43. Perceived Determinants of Health-Related Behaviors Among Patients with Coronary Heart Disease After Percutaneous Coronary Intervention: A Longitudinal Qualitative Study

Author: Su X, Zhang Y, Zhou H, Ma F, Jin X, Bai Y, Wei W, Zhang X, and Zhou M
Subjects: coronary heart disease, percutaneous coronary intervention, health behavior adherence, qualitative research, chinese traditional culture, Medicine (General), R5-920
Abstract: Xu Su,1,&ast; Yimei Zhang,1,&ast; Huilin Zhou,1 Fang Ma,1 Xiaorong Jin,1 Yangjuan Bai,2 Wei Wei,3 Xiong Zhang,1 Min Zhou1 1Department of Nursing, The First Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China; 2Cardiology Department, The First Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China; 3Digestive Surgery Department, The First Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Fang Ma, Department of Nursing, The First Affiliated Hospital of Kunming Medical University, No. 295, Xichang Road, Kunming, 650032, People’s Republic of China, Email rebeccamalei@126.comPurpose: Studies had reported some influencing factors of health behavior among patients with coronary heart disease(CHD) after percutaneous coronary intervention(PCI). However, considering that human perceptions are complex, unrestricted and dynamically changing. A longitudinal qualitative study was conducted to explore the determinants of health-related behaviors of patients after PCI and dynamic changes of these determinants at the 1st, 3rd, and 6th months.Patients and Methods: Using purposive sampling, 18 patients undergoing PCI were interviewed. The conventional content analysis method was used to identify categories and subcategories. Semi-structured, face-to-face or telephone in-depth interviews were conducted at the cardiology unit of a tertiary referral hospital in Yunnan Province, China from March 2022 to January 2023.Results: Seven categories with some subcategories were constructed from the data, categorized into three domains. Firstly, individual factors include (i) Personal coping with healthy lifestyle requirements (tried but failed; I can do it), (ii) individual perception and feeling toward disease (knowing about the disease; belief of cure; fears of relapse), and (iii) personal benefits (improved health; meaning of life). Secondly, social factors include (i) social facilitators (family resources; healthcare support), (ii) social barriers (inconvenient medical care service; conflicting information). Finally, cultural factors include (i) way of living (dietary habits; key roles of yan (cigarette) and jiu (alcohol) in Chinese society), (ii) way of thinking (fatalism and Confucian familism).Conclusion: The determinants of health-related behaviors of patients after PCI are multifaceted and dynamic. Different interventions should be formulated to promote patients’ adherence to health behaviors. Moreover, priority should be given to the impact of traditional Chinese philosophy on the health behaviors of patients after PCI, and the health promotion program for these patients should be culturally sensitive. In addition, future research should further explore the determinants of health behaviors among diverse ethnic minorities after PCI, which has not been fully inquired in this study.Keywords: coronary heart disease, percutaneous coronary intervention, health behavior adherence, qualitative research, Chinese traditional culture
Published: 2024

44. The Relationship Between Harsh Parenting and Smartphone Addiction Among Adolescents: Serial Mediating Role of Depression and Social Pain

Author: Wang D, Zhou M, and Hu Y
Subjects: harsh parenting, smartphone addiction, adolescents, multiple mediation model, Psychology, BF1-990, Industrial psychology, HF5548.7-5548.85
Abstract: Dawei Wang,&ast; Mengmeng Zhou,&ast; Yixin Hu School of Psychology, Shandong Normal University, Jinan, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yixin Hu, School of Psychology, Shandong Normal University, No. 88, East Wenhua Road, Jinan, Shandong Province, People’s Republic of China, Email huyixin2005@163.comPurpose: With the increasing prevalence of smart phones, adolescent smartphone addiction has garnered significant attention from researchers. Previous studies have revealed that smartphone addiction is associated with various internalization and externalization problems. Therefore, this present study aims to investigate the risk factors contributing to adolescent smartphone addiction.Methods: Study 1 recruited a sample of 540, 690, and 470 Chinese students aged between 10– 17 years for exploratory factor analysis, confirmatory factor analysis, and predictive validity analysis of the social pain scale. Study 2 utilized data from a sample of 718 Chinese students aged between 10– 17 years to examine the measurement model used revised social pain scale, smartphone addiction scale, harsh parenting scale, and depression sub-scale.Results: The present study revealed that (1)The Social Pain Scale had good applicability in Chinese adolescents; (2) There were significant, positive correlations among harsh parenting, smartphone addiction, depression and social pain; (3) Social pain and depression played a partially serial mediating role in the relationship between harsh parenting and smartphone addiction, and similarly the relationship between paternal harsh parenting and smartphone addiction, while a completely serial mediating role in the relationship between maternal harsh parenting and smartphone addiction.Conclusion: This study provides a direct path (improving parenting style) and an indirect path (reducing social pain to reduce depression) regarding interventions for adolescents with smartphone addiction, and establishes a basis for improving the situation of adolescent smartphone addiction.Keywords: harsh parenting, smartphone addiction, adolescents, multiple mediation model
Published: 2024

45. Human Resources Allocation of the Centers for Disease Control and Prevention in China

Author: Zhou M
Subjects: human resources, equity, prediction, centers for disease control and prevention, china, Public aspects of medicine, RA1-1270
Abstract: Minghua Zhou Department of Administration Office, Luzhou People’s Hospital, Luzhou, Sichuan, People’s Republic of ChinaCorrespondence: Minghua Zhou, Email minghuawind@126.comObjective: To analyze the equity of human resources allocation of the Centers for Disease Control and Prevention (CDCs) and to predict the development in the next five years in China, and to provide a scientific basis for promoting the development of human resources.Methods: The data of the CDCs from 2017 to 2021 were obtained from the “China Health Statistical Yearbook”, and descriptive analysis, health resource density index (HRDI), Theil index, and health resource agglomeration degree (HRAD) were used to evaluate the equity, and the grey prediction model GM (1, 1) was used to predict the development from 2022 to 2026.Results: Measured by the HRDI, the shortage of human resources in the western region was relatively obvious, with a shortage of more than 11,656 health technicians, more than 6418 licensed (assistant) physicians, and more than 693 registered nurses. The Theil index of human resources allocation by population was between 0.016 and 0.071, and the Theil index of human resources allocation by geography was between 0.312 and 0.359. The allocation of human resources by geography was more unequal than those allocated by population. In terms of HRAD, human resources are over-allocated equitably by geography in the eastern and central regions, while they are under-allocated equitably by geography in the western region. In terms of the difference between the HRAD and PAD, the eastern region has a shortage of human resources relative to the concentration population, and the western region has an excess of human resources relative to the concentration population.Conclusion: The human resources allocation of the CDCs in China was uneven. The human resources of the CDCs were allocated more equitably by population than by geography. There was a situation where the equity of human resource allocation of the CDCs was contrary to the actual demand for medical care.Keywords: human resources, equity, prediction, centers for disease control and prevention, China
Published: 2024

46. Lymphocyte-to-C Reactive Protein Ratio is an Independent Predictor of Survival Benefits for Hepatocellular Carcinoma Patients Receiving Radiotherapy

Author: Shi Z, Zhu S, Jin Y, Qi L, Zhou M, Zhou Z, Zhang J, Liu B, and Shen J
Subjects: hepatocellular carcinoma, stereotactic body radiotherapy, lymphocyte-c-reactive protein ratio, survival, liver toxicity., Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Zhan Shi,1,&ast; Sihui Zhu,2,&ast; Yuncheng Jin,1 Liang Qi,1 Mingzhen Zhou,1 Ziyan Zhou,1 Juan Zhang,1 Baorui Liu,1 Jie Shen1 1Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, Jiangsu Province, 210008, People’s Republic of China; 2The Comprehensive Cancer Centre of Nanjing International Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province, 210008, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jie Shen; Baorui Liu, Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, Jiangsu Province, 210008, People’s Republic of China, Fax +86-025-83106666, Email shenjie2008nju@163.com; baoruiliu@nju.edu.cnBackground: Stereotactic body radiotherapy (SBRT) has emerged as an alternative approach for patients with hepatocellular carcinoma (HCC), and we aim to find potential prognostic biomarkers for HCC patients who received SBRT.Methods: In this study, we retrospectively analyzed HCC patients who underwent SBRT in our institution from January 2018 to December 2022. The inflammatory parameters, along with baseline patients’ characteristics were collected to elucidate the potential relationship with survival benefits and liver toxicities.Results: Overall, 35 patients were enrolled in our study. For the efficacy population (25 patients who underwent SBRT for primary liver lesions), the objective response rate (ORR) and disease control rate (DCR) were 60% and 100%, respectively. The median progression-free survival (PFS) was 9.9 months [95% confidence interval (CI) 5.6– 14.1 months], and the median overall survival (OS) was 18.5 months (95% CI 14.2– 22.8 months). We further confirmed that higher baseline lymphocyte-C-reactive protein ratio (LCR) (≥ 2361.11) was positively related to both longer PFS (12.0 vs 4.3 months, P = 0.002) and OS (21.9 vs 11.4 months, P = 0.022). Moreover, patients with diabetes and higher alpha-fetoprotein (AFP) (≥ 400 ng/mL) were also found to be associated with worse OS. The most common hepatotoxicity was elevated gamma-glutamyl transferase (GGT) (84.0%).Conclusion: In conclusion, for patients with inoperable HCC, SBRT resulted in satisfactory local control, survival benefits, and acceptable liver toxicity. Pre-radiotherapy LCR might be an independent and readily available predictor for survival, which facilitates us to find the most appropriate treatment options.Keywords: hepatocellular carcinoma, stereotactic body radiotherapy, lymphocyte-C-reactive protein ratio, survival, liver toxicity
Published: 2024

47. A multi-cubic-kilometre neutrino telescope in the western Pacific Ocean

Author: Ye, Z. P., Hu, F., Tian, W., Chang, Q. C., Chang, Y. L., Cheng, Z. S., Gao, J., Ge, T., Gong, G. H., Guo, J., Guo, X. X., He, X. G., Huang, J. T., Jiang, K., Jiang, P. K., Jing, Y. P., Li, H. L., Li, J. L., Li, L., Li, W. L., Li, Z., Liao, N. Y., Lin, Q., Liu, F., Liu, J. L., Liu, X. H., Miao, P., Mo, C., Morton-Blake, I., Peng, T., Sun, Z. Y., Tang, J. N., Tang, Z. B., Tao, C. H., Tian, X. L., Wang, M. X., Wang, Y., Wei, H. D., Wei, Z. Y., Wu, W. H., Xian, S. S., Xiang, D., Xu, D. L., Xue, Q., Yang, J. H., Yang, J. M., Yu, W. B., Zeng, C., Zhang, F. Y. D., Zhang, T., Zhang, X. T., Zhang, Y. Y., Zhi, W., Zhong, Y. S., Zhou, M., Zhu, X. H., and Zhuang, G. J.
Subjects: Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Experiment
Abstract: Next-generation neutrino telescopes with significantly improved sensitivity are required to pinpoint the sources of the diffuse astrophysical neutrino flux detected by IceCube and uncover the century-old puzzle of cosmic ray origins. A detector near the equator will provide a unique viewpoint of the neutrino sky, complementing IceCube and other neutrino telescopes in the Northern Hemisphere. Here we present results from an expedition to the north-eastern region of the South China Sea, in the western Pacific Ocean. A favorable neutrino telescope site was found on an abyssal plain at a depth of $\sim$ 3.5km. At depths below 3km, the sea current speed, water absorption and scattering lengths for Cherenkov light, were measured to be $v_{\mathrm{c}}<$10cm/s, $\lambda_{\mathrm{abs} }\simeq$ 27m and $\lambda_{\mathrm{sca} }\simeq$ 63m, respectively. Accounting for these measurements, we present the design and expected performance of a next-generation neutrino telescope, TRopIcal DEep-sea Neutrino Telescope (TRIDENT). With its advanced photon-detection technology and large dimensions, TRIDENT expects to observe the IceCube steady source candidate NGC 1068 with 5$\sigma$ significance within 1 year of operation. This level of sensitivity will open a new arena for diagnosing the origin of cosmic rays and probing fundamental physics over astronomical baselines., Comment: 34 pages,12 figures. Correspondence should be addressed to D. L. Xu: donglianxu@sjtu.edu.cn
Published: 2022

48. Erratum to: Search for exclusive Higgs and Z boson decays to ϕγ and ργ with the ATLAS detector

Author: Aaboud, M., Aad, G., Abbott, B., Abdinov, O., Abeloos, B., Abidi, S. H., AbouZeid, O. S., Abraham, N. L., Abramowicz, H., Abreu, H., Abreu, R., Abulaiti, Y., Acharya, B. S., Adachi, S., Adamczyk, L., Adelman, J., Adersberger, M., Adye, T., Affolder, A. A., Afik, Y., Agatonovic-Jovin, T., Agheorghiesei, C., Aguilar-Saavedra, J. A., Ahlen, S. P., Ahmadov, F., Aielli, G., Akatsuka, S., Akerstedt, H., Åkesson, T. P. A., Akilli, E., Akimov, A. V., Alberghi, G. L., Albert, J., Albicocco, P., Alconada Verzini, M. J., Alderweireldt, S. C., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexander, G., Alexopoulos, T., Alhroob, M., Ali, B., Aliev, M., Alimonti, G., Alison, J., Alkire, S. P., Allbrooke, B. M. M., Allen, B. W., Allport, P. P., Aloisio, A., Alonso, A., Alonso, F., Alpigiani, C., Alshehri, A. A., Alstaty, M. I., Alvarez Gonzalez, B., Álvarez Piqueras, D., Alviggi, M. G., Amadio, B. T., Amaral Coutinho, Y., Amelung, C., Amidei, D., Amor Dos Santos, S. P., Amoroso, S., Amundsen, G., Anastopoulos, C., Ancu, L. S., Andari, N., Andeen, T., Anders, C. F., Anders, J. K., Anderson, K. J., Andreazza, A., Andrei, V., Angelidakis, S., Angelozzi, I., Angerami, A., Anisenkov, A. V., Anjos, N., Annovi, A., Antel, C., Antonelli, M., Antonov, A., Antrim, D. J., Anulli, F., Aoki, M., Aperio Bella, L., Arabidze, G., Arai, Y., Araque, J. P., Araujo Ferraz, V., Arce, A. T. H., Ardell, R. E., Arduh, F. A., Arguin, J-F., Argyropoulos, S., Arik, M., Armbruster, A. J., Armitage, L. J., Arnaez, O., Arnold, H., Arratia, M., Arslan, O., Artamonov, A., Artoni, G., Artz, S., Asai, S., Asbah, N., Ashkenazi, A., Asquith, L., Assamagan, K., Astalos, R., Atkinson, M., Atlay, N. B., Augsten, K., Avolio, G., Axen, B., Ayoub, M. K., Azuelos, G., Baas, A. E., Baca, M. J., Bachacou, H., Bachas, K., Backes, M., Bagnaia, P., Bahmani, M., Bahrasemani, H., Baines, J. T., Bajic, M., Baker, O. K., Bakker, P. J., Baldin, E. M., Balek, P., Balli, F., Balunas, W. K., Banas, E., Bandyopadhyay, A., Banerjee, Sw., Bannoura, A. A. E., Barak, L., Barberio, E. L., Barberis, D., Barbero, M., Barillari, T., Barisits, M.-S., Barkeloo, J. T., Barklow, T., Barlow, N., Barnes, S. L., Barnett, B. M., Barnett, R. M., Barnovska-Blenessy, Z., Baroncelli, A., Barone, G., Barr, A. J., Barranco Navarro, L., Barreiro, F., Barreiro Guimarães da Costa, J., Bartoldus, R., Barton, A. E., Bartos, P., Basalaev, A., Bassalat, A., Bates, R. L., Batista, S. J., Batley, J. R., Battaglia, M., Bauce, M., Bauer, F., Bawa, H. S., Beacham, J. B., Beattie, M. D., Beau, T., Beauchemin, P. H., Bechtle, P., Beck, H. P., Beck, H. C., Becker, K., Becker, M., Becot, C., Beddall, A. J., Beddall, A., Bednyakov, V. A., Bedognetti, M., Bee, C. P., Beermann, T. A., Begalli, M., Begel, M., Behr, J. K., Bell, A. S., Bella, G., Bellagamba, L., Bellerive, A., Bellomo, M., Belotskiy, K., Beltramello, O., Belyaev, N. L., Benary, O., Benchekroun, D., Bender, M., Benekos, N., Benhammou, Y., Benhar Noccioli, E., Benitez, J., Benjamin, D. P., Benoit, M., Bensinger, J. R., Bentvelsen, S., Beresford, L., Beretta, M., Berge, D., Bergeaas Kuutmann, E., Berger, N., Bergsten, L. J., Beringer, J., Berlendis, S., Bernard, N. R., Bernardi, G., Bernius, C., Bernlochner, F. U., Berry, T., Berta, P., Bertella, C., Bertoli, G., Bertram, I. A., Bertsche, C., Besjes, G. J., Bessidskaia Bylund, O., Bessner, M., Besson, N., Bethani, A., Bethke, S., Betti, A., Bevan, A. J., Beyer, J., Bianchi, R. M., Biebel, O., Biedermann, D., Bielski, R., Bierwagen, K., Biesuz, N. V., Biglietti, M., Billoud, T. R. V., Bilokon, H., Bindi, M., Bingul, A., Bini, C., Biondi, S., Bisanz, T., Bittrich, C., Bjergaard, D. M., Black, J. E., Black, K. M., Blair, R. E., Blazek, T., Bloch, I., Blocker, C., Blue, A., Blumenschein, U., Blunier, Dr., Bobbink, G. J., Bobrovnikov, V. S., Bocchetta, S. S., Bocci, A., Bock, C., Boehler, M., Boerner, D., Bogavac, D., Bogdanchikov, A. G., Bohm, C., Boisvert, V., Bokan, P., Bold, T., Boldyrev, A. S., Bolz, A. E., Bomben, M., Bona, M., Boonekamp, M., Borisov, A., Borissov, G., Bortfeldt, J., Bortoletto, D., Bortolotto, V., Boscherini, D., Bosman, M., Bossio Sola, J. D., Boudreau, J., Bouhova-Thacker, E. V., Boumediene, D., Bourdarios, C., Boutle, S. K., Boveia, A., Boyd, J., Boyko, I. R., Bozson, A. J., Bracinik, J., Brandt, A., Brandt, G., Brandt, O., Braren, F., Bratzler, U., Brau, B., Brau, J. E., Breaden Madden, W. D., Brendlinger, K., Brennan, A. J., Brenner, L., Brenner, R., Bressler, S., Briglin, D. L., Bristow, T. M., Britton, D., Britzger, D., Brochu, F. M., Brock, I., Brock, R., Brooijmans, G., Brooks, T., Brooks, W. K., Brosamer, J., Brost, E., Broughton, J. H., Bruckman de Renstrom, P. A., Bruncko, D., Bruni, A., Bruni, G., Bruni, L. S., Bruno, S., Brunt, B. H., Bruschi, M., Bruscino, N., Bryant, P., Bryngemark, L., Buanes, T., Buat, Q., Buchholz, P., Buckley, A. G., Budagov, I. A., Buehrer, F., Bugge, M. K., Bulekov, O., Bullock, D., Burch, T. J., Burdin, S., Burgard, C. D., Burger, A. M., Burghgrave, B., Burka, K., Burke, S., Burmeister, I., Burr, J. T. P., Büscher, D., Büscher, V., Bussey, P., Butler, J. M., Buttar, C. M., Butterworth, J. M., Butti, P., Buttinger, W., Buzatu, A., Buzykaev, A. R., Cabrera Urbán, S., Caforio, D., Cai, H., Cairo, V. M., Cakir, O., Calace, N., Calafiura, P., Calandri, A., Calderini, G., Calfayan, P., Callea, G., Caloba, L. P., Calvente Lopez, S., Calvet, D., Calvet, S., Calvet, T. P., Camacho Toro, R., Camarda, S., Camarri, P., Cameron, D., Caminal Armadans, R., Camincher, C., Campana, S., Campanelli, M., Camplani, A., Campoverde, A., Canale, V., Cano Bret, M., Cantero, J., Cao, T., Capeans Garrido, M. D. M., Caprini, I., Caprini, M., Capua, M., Carbone, R. M., Cardarelli, R., Cardillo, F., Carli, I., Carli, T., Carlino, G., Carlson, B. T., Carminati, L., Carney, R. M. D., Caron, S., Carquin, E., Carrá, S., Carrillo-Montoya, G. D., Casadei, D., Casado, M. P., Casha, A. F., Casolino, M., Casper, D. W., Castelijn, R., Castillo Gimenez, V., Castro, N. F., Catinaccio, A., Catmore, J. R., Cattai, A., Caudron, J., Cavaliere, V., Cavallaro, E., Cavalli, D., Cavalli-Sforza, M., Cavasinni, V., Celebi, E., Ceradini, F., Cerda Alberich, L., Cerqueira, A. S., Cerri, A., Cerrito, L., Cerutti, F., Cervelli, A., Cetin, S. A., Chafaq, A., Chakraborty, D., Chan, S. K., Chan, W. S., Chan, Y. L., Chang, P., Chapman, J. D., Charlton, D. G., Chau, C. C., Chavez Barajas, C. A., Che, S., Cheatham, S., Chegwidden, A., Chekanov, S., Chekulaev, S. V., Chelkov, G. A., Chelstowska, M. A., Chen, C., Chen, C., Chen, H., Chen, J., Chen, S., Chen, S., Chen, X., Chen, Y., Cheng, H. C., Cheng, H. J., Cheplakov, A., Cheremushkina, E., Cherkaoui El Moursli, R., Cheu, E., Cheung, K., Chevalier, L., Chiarella, V., Chiarelli, G., Chiodini, G., Chisholm, A. S., Chitan, A., Chiu, Y. H., Chizhov, M. V., Choi, K., Chomont, A. R., Chouridou, S., Chow, Y. S., Christodoulou, V., Chu, M. C., Chudoba, J., Chuinard, A. J., Chwastowski, J. J., Chytka, L., Ciftci, A. K., Cinca, D., Cindro, V., Cioară, I. A., Ciocio, A., Cirotto, F., Citron, Z. H., Citterio, M., Ciubancan, M., Clark, A., Clark, B. L., Clark, M. R., Clark, P. J., Clarke, R. N., Clement, C., Coadou, Y., Cobal, M., Coccaro, A., Cochran, J., Colasurdo, L., Cole, B., Colijn, A. P., Collot, J., Colombo, T., Conde Muiño, P., Coniavitis, E., Connell, S. H., Connelly, I. A., Constantinescu, S., Conti, G., Conventi, F., Cooke, M., Cooper-Sarkar, A. M., Cormier, F., Cormier, K. J. R., Corradi, M., Corriveau, F., Cortes-Gonzalez, A., Costa, G., Costa, M. J., Costanzo, D., Cottin, G., Cowan, G., Cox, B. E., Cranmer, K., Crawley, S. J., Creager, R. A., Cree, G., Crépé-Renaudin, S., Crescioli, F., Cribbs, W. A., Cristinziani, M., Croft, V., Crosetti, G., Cueto, A., Cuhadar Donszelmann, T., Cukierman, A. R., Cummings, J., Curatolo, M., Cúth, J., Czekierda, S., Czodrowski, P., D’amen, G., D’Auria, S., D’eramo, L., D’Onofrio, M., Da Cunha Sargedas De Sousa, M. J., Da Via, C., Dabrowski, W., Dado, T., Dai, T., Dale, O., Dallaire, F., Dallapiccola, C., Dam, M., Dandoy, J. R., Daneri, M. F., Dang, N. P., Daniells, A. C., Dann, N. S., Danninger, M., Dano Hoffmann, M., Dao, V., Darbo, G., Darmora, S., Dassoulas, J., Dattagupta, A., Daubney, T., Davey, W., David, C., Davidek, T., Davis, D. R., Davison, P., Dawe, E., Dawson, I., De, K., de Asmundis, R., De Benedetti, A., De Castro, S., De Cecco, S., De Groot, N., de Jong, P., De la Torre, H., De Lorenzi, F., De Maria, A., De Pedis, D., De Salvo, A., De Sanctis, U., De Santo, A., De Vasconcelos Corga, K., De Vivie De Regie, J. B., Debbe, R., Debenedetti, C., Dedovich, D. V., Dehghanian, N., Deigaard, I., Del Gaudio, M., Del Peso, J., Delgove, D., Deliot, F., Delitzsch, C. M., Dell’Acqua, A., Dell’Asta, L., Dell’Orso, M., Della Pietra, M., della Volpe, D., Delmastro, M., Delporte, C., Delsart, P. A., DeMarco, D. A., Demers, S., Demichev, M., Demilly, A., Denisov, S. P., Denysiuk, D., Derendarz, D., Derkaoui, J. E., Derue, F., Dervan, P., Desch, K., Deterre, C., Dette, K., Devesa, M. R., Deviveiros, P. O., Dewhurst, A., Dhaliwal, S., Di Bello, F. A., Di Ciaccio, A., Di Ciaccio, L., Di Clemente, W. K., Di Donato, C., Di Girolamo, A., Di Girolamo, B., Di Micco, B., Di Nardo, R., Di Petrillo, K. F., Di Simone, A., Di Sipio, R., Di Valentino, D., Diaconu, C., Diamond, M., Dias, F. A., Diaz, M. A., Dickinson, J., Diehl, E. B., Dietrich, J., Díez Cornell, S., Dimitrievska, A., Dingfelder, J., Dita, P., Dita, S., Dittus, F., Djama, F., Djobava, T., Djuvsland, J. I., do Vale, M. A. B., Dobos, D., Dobre, M., Dodsworth, D., Doglioni, C., Dolejsi, J., Dolezal, Z., Donadelli, M., Donati, S., Dondero, P., Donini, J., Dopke, J., Doria, A., Dova, M. T., Doyle, A. T., Drechsler, E., Dris, M., Du, Y., Duarte-Campderros, J., Dubinin, F., Dubreuil, A., Duchovni, E., Duckeck, G., Ducourthial, A., Ducu, O. A., Duda, D., Dudarev, A., Dudder, A. Chr., Duffield, E. M., Duflot, L., Dührssen, M., Dulsen, C., Dumancic, M., Dumitriu, A. E., Duncan, A. K., Dunford, M., Duperrin, A., Duran Yildiz, H., Düren, M., Durglishvili, A., Duschinger, D., Dutta, B., Duvnjak, D., Dyndal, M., Dziedzic, B. S., Eckardt, C., Ecker, K. M., Edgar, R. C., Eifert, T., Eigen, G., Einsweiler, K., Ekelof, T., El Kacimi, M., El Kosseifi, R., Ellajosyula, V., Ellert, M., Elles, S., Ellinghaus, F., Elliot, A. A., Ellis, N., Elmsheuser, J., Elsing, M., Emeliyanov, D., Enari, Y., Ennis, J. S., Epland, M. B., Erdmann, J., Ereditato, A., Ernst, M., Errede, S., Escalier, M., Escobar, C., Esposito, B., Estrada Pastor, O., Etienvre, A. I., Etzion, E., Evans, H., Ezhilov, A., Ezzi, M., Fabbri, F., Fabbri, L., Fabiani, V., Facini, G., Fakhrutdinov, R. M., Falciano, S., Falla, R. J., Faltova, J., Fang, Y., Fanti, M., Farbin, A., Farilla, A., Farina, C., Farina, E. M., Farooque, T., Farrell, S., Farrington, S. M., Farthouat, P., Fassi, F., Fassnacht, P., Fassouliotis, D., Faucci Giannelli, M., Favareto, A., Fawcett, W. J., Fayard, L., Fedin, O. L., Fedorko, W., Feigl, S., Feligioni, L., Feng, C., Feng, E. J., Fenton, M. J., Fenyuk, A. B., Feremenga, L., Fernandez Martinez, P., Ferrando, J., Ferrari, A., Ferrari, P., Ferrari, R., Ferreira de Lima, D. E., Ferrer, A., Ferrere, D., Ferretti, C., Fiedler, F., Filipčič, A., Filipuzzi, M., Filthaut, F., Fincke-Keeler, M., Finelli, K. D., Fiolhais, M. C. N., Fiorini, L., Fischer, A., Fischer, C., Fischer, J., Fisher, W. C., Flaschel, N., Fleck, I., Fleischmann, P., Fletcher, R. R. M., Flick, T., Flierl, B. M., Flores Castillo, L. R., Flowerdew, M. J., Forcolin, G. T., Formica, A., Förster, F. A., Forti, A., Foster, A. G., Fournier, D., Fox, H., Fracchia, S., Francavilla, P., Franchini, M., Franchino, S., Francis, D., Franconi, L., Franklin, M., Frate, M., Fraternali, M., Freeborn, D., Fressard-Batraneanu, S. M., Freund, B., Froidevaux, D., Frost, J. A., Fukunaga, C., Fusayasu, T., Fuster, J., Gabizon, O., Gabrielli, A., Gabrielli, A., Gach, G. P., Gadatsch, S., Gadomski, S., Gagliardi, G., Gagnon, L. G., Galea, C., Galhardo, B., Gallas, E. J., Gallop, B. J., Gallus, P., Galster, G., Gan, K. K., Ganguly, S., Gao, Y., Gao, Y. S., Garay Walls, F. M., García, C., García Navarro, J. E., García Pascual, J. A., Garcia-Sciveres, M., Gardner, R. W., Garelli, N., Garonne, V., Gascon Bravo, A., Gasnikova, K., Gatti, C., Gaudiello, A., Gaudio, G., Gavrilenko, I. L., Gay, C., Gaycken, G., Gazis, E. N., Gee, C. N. P., Geisen, J., Geisen, M., Geisler, M. P., Gellerstedt, K., Gemme, C., Genest, M. H., Geng, C., Gentile, S., Gentsos, C., George, S., Gerbaudo, D., Geßner, G., Ghasemi, S., Ghneimat, M., Giacobbe, B., Giagu, S., Giangiacomi, N., Giannetti, P., Gibson, S. M., Gignac, M., Gilchriese, M., Gillberg, D., Gilles, G., Gingrich, D. M., Giordani, M. P., Giorgi, F. M., Giraud, P. F., Giromini, P., Giugliarelli, G., Giugni, D., Giuli, F., Giuliani, C., Giulini, M., Gjelsten, B. K., Gkaitatzis, S., Gkialas, I., Gkougkousis, E. L., Gkountoumis, P., Gladilin, L. K., Glasman, C., Glatzer, J., Glaysher, P. C. F., Glazov, A., Goblirsch-Kolb, M., Godlewski, J., Goldfarb, S., Golling, T., Golubkov, D., Gomes, A., Gonçalo, R., Goncalves Gama, R., Goncalves Pinto Firmino Da Costa, J., Gonella, G., Gonella, L., Gongadze, A., Gonski, J. L., González de la Hoz, S., Gonzalez-Sevilla, S., Goossens, L., Gorbounov, P. A., Gordon, H. A., Gorelov, I., Gorini, B., Gorini, E., Gorišek, A., Goshaw, A. T., Gössling, C., Gostkin, M. I., Gottardo, C. A., Goudet, C. R., Goujdami, D., Goussiou, A. G., Govender, N., Gozani, E., Grabowska-Bold, I., Gradin, P. O. J., Gramling, J., Gramstad, E., Grancagnolo, S., Gratchev, V., Gravila, P. M., Gray, C., Gray, H. M., Greenwood, Z. D., Grefe, C., Gregersen, K., Gregor, I. M., Grenier, P., Grevtsov, K., Griffiths, J., Grillo, A. A., Grimm, K., Grinstein, S., Gris, Ph., Grivaz, J.-F., Groh, S., Gross, E., Grosse-Knetter, J., Grossi, G. C., Grout, Z. J., Grummer, A., Guan, L., Guan, W., Guenther, J., Guescini, F., Guest, D., Gueta, O., Gui, B., Guido, E., Guillemin, T., Guindon, S., Gul, U., Gumpert, C., Guo, J., Guo, W., Guo, Y., Gupta, R., Gurbuz, S., Gustavino, G., Gutelman, B. J., Gutierrez, P., Gutierrez Ortiz, N. G., Gutschow, C., Guyot, C., Guzik, M. P., Gwenlan, C., Gwilliam, C. B., Haas, A., Haber, C., Hadavand, H. K., Haddad, N., Hadef, A., Hageböck, S., Hagihara, M., Hakobyan, H., Haleem, M., Haley, J., Halladjian, G., Hallewell, G. 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R., Straessner, A., Stramaglia, M. E., Strandberg, J., Strandberg, S., Strauss, M., Strizenec, P., Ströhmer, R., Strom, D. M., Stroynowski, R., Strubig, A., Stucci, S. A., Stugu, B., Styles, N. A., Su, D., Su, J., Suchek, S., Sugaya, Y., Suk, M., Sulin, V. V., Sultan, D. M. S., Sultansoy, S., Sumida, T., Sun, S., Sun, X., Suruliz, K., Suster, C. J. E., Sutton, M. R., Suzuki, S., Svatos, M., Swiatlowski, M., Swift, S. P., Sykora, I., Sykora, T., Ta, D., Tackmann, K., Taenzer, J., Taffard, A., Tafirout, R., Tahirovic, E., Taiblum, N., Takai, H., Takashima, R., Takasugi, E. H., Takeda, K., Takeshita, T., Takubo, Y., Talby, M., Talyshev, A. A., Tanaka, J., Tanaka, M., Tanaka, R., Tanaka, S., Tanioka, R., Tannenwald, B. B., Tapia Araya, S., Tapprogge, S., Tarem, S., Tartarelli, G. F., Tas, P., Tasevsky, M., Tashiro, T., Tassi, E., Tavares Delgado, A., Tayalati, Y., Taylor, A. C., Taylor, A. J., Taylor, G. N., Taylor, P. T. 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V., Tsirintanis, N., Tsiskaridze, S., Tsiskaridze, V., Tskhadadze, E. G., Tsukerman, I. I., Tsulaia, V., Tsuno, S., Tsybychev, D., Tu, Y., Tudorache, A., Tudorache, V., Tulbure, T. T., Tuna, A. N., Turchikhin, S., Turgeman, D., Turk Cakir, I., Turra, R., Tuts, P. M., Ucchielli, G., Ueda, I., Ughetto, M., Ukegawa, F., Unal, G., Undrus, A., Unel, G., Ungaro, F. C., Unno, Y., Uno, K., Unverdorben, C., Urban, J., Urquijo, P., Urrejola, P., Usai, G., Usui, J., Vacavant, L., Vacek, V., Vachon, B., Vadla, K. O. H., Vaidya, A., Valderanis, C., Valdes Santurio, E., Valente, M., Valentinetti, S., Valero, A., Valéry, L., Valkar, S., Vallier, A., Valls Ferrer, J. A., Van Den Wollenberg, W., van der Graaf, H., van Gemmeren, P., Van Nieuwkoop, J., van Vulpen, I., van Woerden, M. C., Vanadia, M., Vandelli, W., Vaniachine, A., Vankov, P., Vardanyan, G., Vari, R., Varnes, E. W., Varni, C., Varol, T., Varouchas, D., Vartapetian, A., Varvell, K. E., Vasquez, J. G., Vasquez, G. A., Vazeille, F., Vazquez Furelos, D., Vazquez Schroeder, T., Veatch, J., Veeraraghavan, V., Veloce, L. M., Veloso, F., Veneziano, S., Ventura, A., Venturi, M., Venturi, N., Venturini, A., Vercesi, V., Verducci, M., Verkerke, W., Vermeulen, A. T., Vermeulen, J. C., Vetterli, M. C., Viaux Maira, N., Viazlo, O., Vichou, I., Vickey, T., Vickey Boeriu, O. E., Viehhauser, G. H. A., Viel, S., Vigani, L., Villa, M., Villaplana Perez, M., Vilucchi, E., Vincter, M. G., Vinogradov, V. B., Vishwakarma, A., Vittori, C., Vivarelli, I., Vlachos, S., Vogel, M., Vokac, P., Volpi, G., von der Schmitt, H., von Toerne, E., Vorobel, V., Vorobev, K., Vos, M., Voss, R., Vossebeld, J. H., Vranjes, N., Vranjes Milosavljevic, M., Vrba, V., Vreeswijk, M., Vuillermet, R., Vukotic, I., Wagner, P., Wagner, W., Wagner-Kuhr, J., Wahlberg, H., Wahrmund, S., Wakamiya, K., Walder, J., Walker, R., Walkowiak, W., Wallangen, V., Wang, C., Wang, C., Wang, F., Wang, H., Wang, H., Wang, J., Wang, J., Wang, Q., Wang, R.-J., Wang, R., Wang, S. M., Wang, T., Wang, W., Wang, W., Wang, Z., Wanotayaroj, C., Warburton, A., Ward, C. P., Wardrope, D. R., Washbrook, A., Watkins, P. M., Watson, A. T., Watson, M. F., Watts, G., Watts, S., Waugh, B. M., Webb, A. F., Webb, S., Weber, M. S., Weber, S. M., Weber, S. W., Weber, S. A., Webster, J. S., Weidberg, A. R., Weinert, B., Weingarten, J., Weirich, M., Weiser, C., Weits, H., Wells, P. S., Wenaus, T., Wengler, T., Wenig, S., Wermes, N., Werner, M. D., Werner, P., Wessels, M., Weston, T. D., Whalen, K., Whallon, N. L., Wharton, A. M., White, A. S., White, A., White, M. J., White, R., Whiteson, D., Whitmore, B. W., Wickens, F. J., Wiedenmann, W., Wielers, M., Wiglesworth, C., Wiik-Fuchs, L. A. M., Wildauer, A., Wilk, F., Wilkens, H. G., Williams, H. H., Williams, S., Willis, C., Willocq, S., Wilson, J. A., Wingerter-Seez, I., Winkels, E., Winklmeier, F., Winston, O. J., Winter, B. T., Wittgen, M., Wobisch, M., Wolf, A., Wolf, T. M. H., Wolff, R., Wolter, M. W., Wolters, H., Wong, V. W. S., Woods, N. L., Worm, S. D., Wosiek, B. K., Wotschack, J., Wozniak, K. W., Wu, M., Wu, S. L., Wu, X., Wu, Y., Wyatt, T. R., Wynne, B. M., Xella, S., Xi, Z., Xia, L., Xu, D., Xu, L., Xu, T., Xu, W., Yabsley, B., Yacoob, S., Yamaguchi, D., Yamaguchi, Y., Yamamoto, A., Yamamoto, S., Yamanaka, T., Yamane, F., Yamatani, M., Yamazaki, T., Yamazaki, Y., Yan, Z., Yang, H., Yang, H., Yang, Y., Yang, Z., Yao, W-M., Yap, Y. C., Yasu, Y., Yatsenko, E., Yau Wong, K. H., Ye, J., Ye, S., Yeletskikh, I., Yigitbasi, E., Yildirim, E., Yorita, K., Yoshihara, K., Young, C., Young, C. J. S., Yu, J., Yu, J., Yuen, S. P. Y., Yusuff, I., Zabinski, B., Zacharis, G., Zaidan, R., Zaitsev, A. M., Zakharchuk, N., Zalieckas, J., Zaman, A., Zambito, S., Zanzi, D., Zeitnitz, C., Zemaityte, G., Zemla, A., Zeng, J. C., Zeng, Q., Zenin, O., Ženiš, T., Zerwas, D., Zhang, D., Zhang, D., Zhang, F., Zhang, G., Zhang, H., Zhang, J., Zhang, L., Zhang, L., Zhang, M., Zhang, P., Zhang, R., Zhang, R., Zhang, X., Zhang, Y., Zhang, Z., Zhao, X., Zhao, Y., Zhao, Z., Zhemchugov, A., Zhou, B., Zhou, C., Zhou, L., Zhou, M., Zhou, M., Zhou, N., Zhou, Y., Zhu, C. G., Zhu, H., Zhu, J., Zhu, Y., Zhuang, X., Zhukov, K., Zibell, A., Zieminska, D., Zimine, N. I., Zimmermann, C., Zimmermann, S., Zinonos, Z., Zinser, M., Ziolkowski, M., Živković, L., Zobernig, G., Zoccoli, A., Zou, R., zur Nedden, M., and Zwalinski, L.
Published: 2023
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49. A New Thiohydantoin Derivative from the Roots of Lepidium meyenii

Author: Liu, W. X., Liao, Y. J., Chen, N., Geng, H. C., and Zhou, M.
Published: 2023
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50. Evidence for particle acceleration approaching PeV energies in the W51 complex

Author: Cao, Zhen, Aharonian, F., Axikegu, Bai, Y.X., Bao, Y.W., Bastieri, D., Bi, X.J., Bi, Y.J., Bian, W., Bukevich, A.V., Cao, Q., Cao, W.Y., Cao, Zhe, Chang, J., Chang, J.F., Chen, A.M., Chen, E.S., Chen, H.X., Chen, Liang, Chen, Lin, Chen, Long, Chen, M.J., Chen, M.L., Chen, Q.H., Chen, S., Chen, S.H., Chen, S.Z., Chen, T.L., Chen, Y., Cheng, N., Cheng, Y.D., Cui, M.Y., Cui, S.W., Cui, X.H., Cui, Y.D., Dai, B.Z., Dai, H.L., Dai, Z.G., Danzengluobu, Dong, X.Q., Duan, K.K., Fan, J.H., Fan, Y.Z., Fang, J., Fang, J.H., Fang, K., Feng, C.F., Feng, H., Feng, L., Feng, S.H., Feng, X.T., Feng, Y., Feng, Y.L., Gabici, S., Gao, B., Gao, C.D., Gao, Q., Gao, W., Gao, W.K., Ge, M.M., Geng, L.S., Giacinti, G., Gong, G.H., Gou, Q.B., Gu, M.H., Guo, F.L., Guo, X.L., Guo, Y.Q., Guo, Y.Y., Han, Y.A., Hasan, M., He, H.H., He, H.N., He, J.Y., He, Y., Hor, Y.K., Hou, B.W., Hou, C., Hou, X., Hu, H.B., Hu, Q., Hu, S.C., Huang, D.H., Huang, T.Q., Huang, W.J., Huang, X.T., Huang, X.Y., Huang, Y., Ji, X.L., Jia, H.Y., Jia, K., Jiang, K., Jiang, X.W., Jiang, Z.J., Jin, M., Kang, M.M., Karpikov, I., Kuleshov, D., Kurinov, K., Li, B.B., Li, C.M., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H.B., Li, H.C., Li, Jian, Li, Jie, Li, K., Li, S.D., Li, W.L., Li, X.R., Li, Xin, Li, Y.Z., Li, Zhe, Li, Zhuo, Liang, E.W., Liang, Y.F., Lin, S.J., Liu, B., Liu, C., Liu, D., Liu, D.B., Liu, H., Liu, H.D., Liu, J., Liu, J.L., Liu, M.Y., Liu, R.Y., Liu, S.M., Liu, W., Liu, Y., Liu, Y.N., Luo, Q., Luo, Y., Lv, H.K., Ma, B.Q., Ma, L.L., Ma, X.H., Mao, J.R., Min, Z., Mitthumsiri, W., Mu, H.J., Nan, Y.C., Neronov, A., Ou, L.J., Pattarakijwanich, P., Pei, Z.Y., Qi, J.C., Qi, M.Y., Qiao, B.Q., Qin, J.J., Raza, A., Ruffolo, D., Sáiz, A., Saeed, M., Semikoz, D., Shao, L., Shchegolev, O., Sheng, X.D., Shu, F.W., Song, H.C., Stenkin, Yu.V., Stepanov, V., Su, Y., Sun, D.X., Sun, Q.N., Sun, X.N., Sun, Z.B., Takata, J., Tam, P.H.T., Tang, Q.W., Tang, R., Tang, Z.B., Tian, W.W., Wang, C., Wang, C.B., Wang, G.W., Wang, H.G., Wang, H.H., Wang, J.C., Wang, Kai, Wang, L.P., Wang, L.Y., Wang, P.H., Wang, R., Wang, W., Wang, X.G., Wang, X.Y., Wang, Y., Wang, Y.D., Wang, Y.J., Wang, Z.H., Wang, Z.X., Wang, Zhen, Wang, Zheng, Wei, D.M., Wei, J.J., Wei, Y.J., Wen, T., Wu, C.Y., Wu, H.R., Wu, Q.W., Wu, S., Wu, X.F., Wu, Y.S., Xi, S.Q., Xia, J., Xiang, G.M., Xiao, D.X., Xiao, G., Xin, Y.L., Xing, Y., Xiong, D.R., Xiong, Z., Xu, D.L., Xu, R.F., Xu, R.X., Xu, W.L., Xue, L., Yan, D.H., Yan, J.Z., Yan, T., Yang, C.W., Yang, C.Y., Yang, F., Yang, F.F., Yang, L.L., Yang, M.J., Yang, R.Z., Yang, W.X., Yao, Y.H., Yao, Z.G., Yin, L.Q., Yin, N., You, X.H., You, Z.Y., Yu, Y.H., Yuan, Q., Yue, H., Zeng, H.D., Zeng, T.X., Zeng, W., Zha, M., Zhang, B.B., Zhang, F., Zhang, H., Zhang, H.M., Zhang, H.Y., Zhang, J.L., Zhang, Li, Zhang, P.F., Zhang, P.P., Zhang, R., Zhang, S.B., Zhang, S.R., Zhang, S.S., Zhang, X., Zhang, X.P., Zhang, Y.F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L.Z., Zhao, S.P., Zhao, X.H., Zheng, F., Zhong, W.J., Zhou, B., Zhou, H., Zhou, J.N., Zhou, M., Zhou, P., Zhou, R., Zhou, X.X., Zhu, B.Y., Zhu, C.G., Zhu, F.R., Zhu, H., Zhu, K.J., Zou, Y.C., Zuo, X., and Celli, S.
Published: 2024
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