399 results on '"Guan, Ju"'
Search Results
2. Mixed active metabolites of the SNP-6 series of novel compounds mitigate metabolic dysfunction-associated steatohepatitis and fibrosis: promising results from pre-clinical and clinical trials
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Hsin-Tien Ho, Yu-Lueng Shih, Tien-Yu Huang, Wen-Hui Fang, Chang-Hsien Liu, Jung-Chun Lin, Chih-Weim Hsiang, Kai-Min Chu, Cheng-Huei Hsiong, Guan-Ju Chen, Yung-En Wu, Jia-Yu Hao, Chih-Wen Liang, and Oliver Yoa-Pu Hu
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Metabolic dysfunction-associated steatohepatitis ,SNP-630 ,Alanine aminotransferase ,Medicine - Abstract
Abstract Background Metabolic dysfunction-associated steatohepatitis (MASH) is a growing global health concern with no effective pharmacological treatments. SNP-630, a newly developed synthetic molecule with multiple mechanisms of action, and a mixture of two of its active metabolites (SNP-630-MS) inhibit CYP2E1 expression to prevent reactive oxygen species generation, thereby reducing the accumulation of hepatic triglycerides and lowering chemokine levels. This study investigated the SNP-630’s potential to alleviate the liver injury in MASH and its efficacy in both a mouse model and patients with MASH to identify a drug candidate that targets multiple pathways implicated in MASH. Methods SNP-630 and SNP-630-MS were separately administered to the MASH mouse model. The tolerability, safety, and efficacy of SNP-630-MS were also evaluated in 35 patients with MASH. The primary endpoint of the study was assessment of the changes in serum alanine aminotransferase (ALT) levels from baseline to week 12, while the secondary endpoints included the evaluation of liver inflammation, steatosis, and fibrosis parameters and markers. Results SNP-630 treatment in mice improved inflammation, liver steatosis, and fibrosis compared with that in the MASH control group. Both SNP-630 and SNP-630-MS treatments markedly reduced ALT levels, hepatic triglyceride content, and the expression of inflammatory cytokines monocyte chemoattractant protein 1 and fibrotic collagen (i.e., Col1a1, Col3a1, and Timp1) in mice. In the clinical trial, patients treated with SNP-630-MS exhibited significant improvement in ALT levels at week 12 compared with baseline levels, with no reports of severe adverse events. This improvement in ALT levels surpassed that achieved with most other MASH candidates. SNP-630-MS demonstrated potential antifibrotic effects, as evidenced by a significant decrease in the levels of fibrogenesis-related biomarkers such as CCL4, CCL5, and caspase 3. Subgroup analysis using FibroScan measurements further indicated the efficacy of SNP-630-MS in ameliorating liver fibrosis. Conclusions SNP-630 and SNP-630-MS demonstrated favorable results in mice. SNP-630-MS showed excellent tolerability in mice and patients with MASH. Efficacy analyses indicated that SNP-630-MS improved liver steatosis and injury in patients with MASH, suggesting that SNP-630 and 630-MS are promising therapeutic options for MASH. Larger scale clinical trials remain warranted to assess the efficacy and safety of SNP-630 in MASH. Trial registration: ClinicalTrials.gov NCT03868566. Registered 06 March 2019-Retrospectively registered, https://clinicaltrials.gov/study/NCT03868566
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- 2024
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3. Mixed active metabolites of the SNP-6 series of novel compounds mitigate metabolic dysfunction-associated steatohepatitis and fibrosis: promising results from pre-clinical and clinical trials
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Ho, Hsin-Tien, Shih, Yu-Lueng, Huang, Tien-Yu, Fang, Wen-Hui, Liu, Chang-Hsien, Lin, Jung-Chun, Hsiang, Chih-Weim, Chu, Kai-Min, Hsiong, Cheng-Huei, Chen, Guan-Ju, Wu, Yung-En, Hao, Jia-Yu, Liang, Chih-Wen, and Hu, Oliver Yoa-Pu
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- 2024
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4. A spectral-timing study of the inner flow geometry in MAXI J1535--571 with $Insight$-HXMT and NICER
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Yu, Wei, Bu, Qing-Cui, Liu, He-Xin, Huang, Yue, Zhang, Liang, Yang, Zi-Xu, Qu, Jin-Lu, Zhang, Shu, Song, Li-Ming, Zhang, Shuang-Nan, Jia, Shu-Mei, Ma, Xiang, Tao, Lian, Ge, Ming-Yu, Liu, Qing-Zhong, Yan, Jing-Zhi, Cao, Xue-Lei, Chang, Zhi, Chen, Li, Chen, Yong, Chen, Yu-Peng, Ding, Guo-Qiang, Guan, Ju, Jin, Jing, Kong, Ling-Da, Li, Bing, Li, Cheng-Kui, Li, Ti-Pei, Li, Xiao-Bo, Liao, Jin-Yuan, Liu, Bai-Sheng, Liu, Cong-Zhan, Lu, Fang-Jun, Ma, Rui-Can, Nie, Jian-Yin, Ren, Xiao-Qin, Sai, Na, Tan, Ying, Tuo, You-Li, Wang, Ling-Jun, Wang, Peng-Ju, Wu, Bai-Yang, Xiao, Guang-Cheng, Yin, Qian-Qing, You, Yuan, Zhang, Juan, Zhang, Peng, Zhang, Wei, Zhao, Hai-Sheng, Zheng, Shi-Jie, and Zhou, Deng-Ke
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
We have performed a spectral-timing analysis on the black hole X-ray binary MAXI J1535--571 during its 2017 outburst, with the aim of exploring the evolution of the inner accretion flow geometry. X-ray reverberation lags are observed in the hard-intermediate state (HIMS) and soft-intermediate state (SIMS) of the outburst. During the HIMS, the characteristic frequency of the reverberation lags $\nu_0$ (the frequency at which the soft lag turns to zero in the lag-frequency spectra) increases when the spectrum softens. This reflects a reduction of the spatial distance between the corona and accretion disc, when assuming the measured time lags are associated with the light travel time. We also find a strong correlation between $\nu_0$ and type-C Quasi Periodic Oscillation (QPO) centroid frequency $\nu_{QPO}$, which can be well explained by the Lense-Thirring (L-T) precession model under a truncated disk geometry. Despite the degeneracy in the spectral modellings, our results suggest that the accretion disc is largely truncated in the low hard state (LHS), and moves inward as the spectrum softens. Combine the spectral modelling results with the $\nu_0$ - $\nu_{QPO}$ evolution, we are inclined to believe that this source probably have a truncated disk geometry in the hard state.
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- 2023
5. Insight-HXMT and GECAM-C observations of the brightest-of-all-time GRB 221009A
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An, Zheng-Hua, Antier, S., Bi, Xing-Zi, Bu, Qing-Cui, Cai, Ce, Cao, Xue-Lei, Camisasca, Anna-Elisa, Chang, Zhi, Chen, Gang, Chen, Li, Chen, Tian-Xiang, Chen, Wen, Chen, Yi-Bao, Chen, Yong, Chen, Yu-Peng, Coughlin, Michael W., Cui, Wei-Wei, Dai, Zi-Gao, Hussenot-Desenonges, T., Du, Yan-Qi, Du, Yuan-Yuan, Du, Yun-Fei, Fan, Cheng-Cheng, Frontera, Filippo, Gao, He, Gao, Min, Ge, Ming-Yu, Gong, Ke, Gu, Yu-Dong, Guan, Ju, Guo, Dong-Ya, Guo, Zhi-Wei, Guidorzi, Cristiano, Han, Da-Wei, He, Jian-Jian, He, Jun-Wang, Hou, Dong-Jie, Huang, Yue, Huo, Jia, Ji, Zhen, Jia, Shu-Mei, Jiang, Wei-Chun, Kann, David Alexander, Klotz, A., Kong, Ling-Da, Lan, Lin, Li, An, Li, Bing, Li, Chao-Yang, Li, Cheng-Kui, Li, Gang, Li, Mao-Shun, Li, Ti-Pei, Li, Wei, Li, Xiao-Bo, Li, Xin-Qiao, Li, Xu-Fang, Li, Yan-Guo, Li, Zheng-Wei, Liang, Jing, Liang, Xiao-Hua, Liao, Jin-Yuan, Lin, Lin, Liu, Cong-Zhan, Liu, He-Xin, Liu, Hong-Wei, Liu, Jia-Cong, Liu, Xiao-Jing, Liu, Ya-Qing, Liu, Yu-Rong, Lu, Fang-Jun, Lu, Hong, Lu, Xue-Feng, Luo, Qi, Luo, Tao, Ma, Bin-Yuan, Ma, Fu-Li, Ma, Rui-Can, Ma, Xiang, Maccary, Romain, Mao, Ji-Rong, Meng, Bin, Nie, Jian-Yin, Orlandini, Mauro, Ou, Ge, Peng, Jing-Qiang, Peng, Wen-Xi, Qiao, Rui, Qu, Jin-Lu, Ren, Xiao-Qin, Shi, Jing-Yan, Shi, Qi, Song, Li-Ming, Song, Xin-Ying, Su, Ju, Sun, Gong-Xing, Sun, Liang, Sun, Xi-Lei, Tan, Wen-Jun, Tan, Ying, Tao, Lian, Tuo, You-Li, Turpin, Damien, Wang, Jin-Zhou, Wang, Chen, Wang, Chen-Wei, Wang, Hong-Jun, Wang, Hui, Wang, Jin, Wang, Ling-Jun, Wang, Peng-Ju, Wang, Ping, Wang, Wen-Shuai, Wang, Xiang-Yu, Wang, Xi-Lu, Wang, Yu-Sa, Wang, Yue, Wen, Xiang-Yang, Wu, Bo-Bing, Wu, Bai-Yang, Wu, Hong, Xiao, Sheng-Hui, Xiao, Shuo, Xiao, Yun-Xiang, Xie, Sheng-Lun, Xiong, Shao-Lin, Xiong, Sen-Lin, Xu, Dong, Xu, He, Xu, Yan-Jun, Xu, Yan-Bing, Xu, Ying-Chen, Xu, Yu-Peng, Xue, Wang-Chen, Yang, Sheng, Yang, Yan-Ji, Yang, Zi-Xu, Ye, Wen-Tao, Yi, Qi-Bin, Yi, Shu-Xu, Yin, Qian-Qing, You, Yuan, Yu, Yun-Wei, Yu, Wei, Yu, Wen-Hui, Zeng, Ming, Zhang, Bing, Zhang, Bin-Bin, Zhang, Da-Li, Zhang, Fan, Zhang, Hong-Mei, Zhang, Juan, Zhang, Liang, Zhang, Peng, Zhang, Shu, Zhang, Shuang-Nan, Zhang, Wan-Chang, Zhang, Xiao-Feng, Zhang, Xiao-Lu, Zhang, Yan-Qiu, Zhang, Yan-Ting, Zhang, Yi-Fei, Zhang, Yuan-Hang, Zhang, Zhen, Zhao, Guo-Ying, Zhao, Hai-Sheng, Zhao, Hong-Yu, Zhao, Qing-Xia, Zhao, Shu-Jie, Zhao, Xiao-Yun, Zhao, Xiao-Fan, Zhao, Yi, Zheng, Chao, Zheng, Shi-Jie, Zhou, Deng-Ke, Zhou, Xing, and Zhu, Xiao-Cheng
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
GRB 221009A is the brightest gamma-ray burst ever detected since the discovery of this kind of energetic explosions. However, an accurate measurement of the prompt emission properties of this burst is very challenging due to its exceptional brightness. With joint observations of \textit{Insight}-HXMT and GECAM-C, we made an unprecedentedly accurate measurement of the emission during the first $\sim$1800 s of GRB 221009A, including its precursor, main emission (ME, which dominates the burst in flux), flaring emission and early afterglow, in the hard X-ray to soft gamma-ray band from $\sim$ 10 keV to $\sim$ 6 MeV. Based on the GECAM-C unsaturated data of the ME, we measure a record-breaking isotropic equivalent energy ($E_{\rm iso}$) of $\bf \sim 1.5 \times 10^{55}$ erg, which is about eight times the total rest-mass energy of the Sun. The early afterglow data require a significant jet break between 650 s and 1100 s, most likely at $\sim950$ s from the afterglow starting time $T_{AG}$, which corresponds to a jet opening angle of $\sim {0.7^\circ} \ (\eta_\gamma n)^{1/8}$, where $n$ is the ambient medium density in units of $\rm cm^{-3}$ and $\eta_\gamma$ is the ratio between $\gamma$-ray energy and afterglow kinetic energy. The beaming-corrected total $\gamma$-ray energy $E_{\gamma}$ is $\sim 1.15 \times10^{51} \ (\eta_\gamma n)^{1/4}$ erg, which is typical for long GRBs. These results suggest that this GRB may have a special central engine, which could launch and collimate a very narrowly beamed jet with an ordinary energy budget, leading to exceptionally luminous gamma-ray radiation per unit solid angle. Alternatively, more GRBs might have such a narrow and bright beam, which are missed by an unfavorable viewing angle or have been detected without distance measurement., Comment: Submitted to National Science Review. This paper is under press embargo, contact the corresponding author for details
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- 2023
6. The Long-term Monitoring Results of Insight-HXMT in the First 4 Yr Galactic Plane Scanning Survey
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Wang, Chen, Liao, Jin-Yuan, Guan, Ju, Liu, Yuan, Li, Cheng-Kui, Sai, Na, Luo, Qi, Jin, Jing, Nang, Yi, and Zhang, Shuang-Nan
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
The first X-ray source catalog of Insight-HXMT Galactic Plane (|b|<10deg) Scanning Survey (GPSS) is presented based on the data accumulated from June 2017 to August 2021. The 4 yr limit sensitivities at main energy bands can reach 8.2x10^(-12) erg/s/cm^2} (2-6 keV), 4.21x10^(-11) erg/s/cm^2 (7-40 keV) and 2.78x10^(-11) erg/s/cm^2 (25-100 keV). More than 1300 sources have been monitored at a wide band (1$-$100\,keV), of which 223 sources have a signal-to-noise ratio greater than 5. We combined the GPSS data of Insight-HXMT and MAXI and found it is feasible to obtain more complete long-term light curves from their scanning results. The flux variabilities at different energy bands of the 223 bright sources are analyzed based on the excess variances. It is found that the fluxes of X-ray binaries are more active than those of supernova remnants and isolated pulsars. Different types of binaries, e.g., low-mass X-ray binaries (LMXBs), high-mass X-ray binaries (HMXBs), neutron star binaries, and black hole binaries, also distinctively show different regularities. In addition, the relations between the hardness ratio (HR) and excess variances, and HR and source types are analyzed. It is obvious that the HRs of HMXBs tend to be harder than those of LMXBs and HMXBs tend to be more active than those of LMXBs., Comment: 43 pages, 26 figures, accepted for publication in ApJS
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- 2023
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7. An Insight-HXMT view of the mHz quasi-regular modulation phenomenon in the black hole X-ray binary 4U 1630-47
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Yang, Zi-Xu, Zhang, Liang, Huang, Yue, Bu, Qingcui, Zhang, Zhen, Liu, He-Xin, Yu, Wei, Wang, Peng-Ju, Zhao, Q. C., Tao, L., Qu, Jin-Lu, Zhang, Shu, Zhang, Shuang-Nan, Song, Liming, Lu, Fangjun, Cao, Xuelei, Chen, Li, Cai, Ce, Chang, Zhi, Chen, Tianxian, Chen, Yong, Chen, Yupeng, Chen, Yibao, Cui, Weiwei, Ding, Guoqiang, Du, Yuanyuan, Gao, GuanHua, Gao, He, Ge, Mingyu, Gu, Yudong, Guan, Ju, Guo, Chengcheng, Han, Dawei, Huo, Jia, Jia, Shumei, Jiang, Weichun, Jin, Jing, Kong, Lingda, Li, Bing, Li, Gang, Li, Wei, Li, Xian, Li, Xufang, Li, Zhengwei, Li, Chengkui, Lin, Lin, Liu, Congzhan, Li, Tipei, Li, Xiaobo, Liang, Xiaohua, Liao, Jinyuan, Liu, Hongwei, Liu, Xiaojing, Lu, Xuefeng, Luo, Qi, Luo, Tao, Ma, Binyuan, Ma, Ruican, Ma, Xiang, Meng, Bin, Nang, Yi, Nie, Jianyin, Ou, Ge, Ren, Xiaoqin, Sai, Na, Song, Xinying, Sun, Liang, Tan, Ying, Tuo, Youli, Wang, Chen, Wang, Wenshuai, Wang, Lingjun, Wang, Yusa, Wang, Jieshuang, Wen, Xiangyang, Wu, Bobing, Wu, Baiyang, Wu, Mei, Xiao, Shuo, Xu, Yupeng, Xiong, Shaolin, Yang, Sheng, Yang, Yanji, Yi, Qibin, Yin, Qianqing, You, Yuan, Zhang, Bing, Zhang, Fan, Zhang, Hongmei, Zhang, Juan, Zhang, Wanchang, Zhang, Wei, Zhang, Binbin, Zhang, Peng, Zhang, Yifei, Zhang, Yuanhang, Zhao, Haisheng, Zhao, Xiaofan, Zheng, Shijie, and Zhou, Dengke
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
Here we report the spectral-timing results of the black hole X-ray binary 4U 1630-47 during its 2021 outburst using observations from the Hard X-ray Modulation Telescope. Type-C quasi-periodic oscillations (QPOs) in 1.6--4.2 Hz and quasi-regular modulation (QRM) near 60 mHz are detected during the outburst. The mHz QRM has a fractional rms of 10%--16% in the 8--35 keV energy band with a Q factor (frequency/width) of 2--4. Benefiting from the broad energy band of hxmt, we study the energy dependence of the 60 mHz QRM in 1--100 keV for the first time. We find that the fractional rms of the mHz QRM increases with photon energy, while the time lags of the mHz QRM are soft and decrease with photon energy. Fast recurrence of the mHz QRM, in a timescale of less than one hour, has been observed during the outburst. During this period, the corresponding energy spectra moderately change when the source transitions from the QRM state to the non-QRM state. The QRM phenomena also shows a dependence with the accretion rate. We suggest that the QRM could be caused by an unknown accretion instability aroused from the corona.
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- 2022
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8. Expression and function analyses of the MIKCC-type MADS-box genes in Akebia trifoliata (Lardizabalaceae) flower development
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Zhong, Shengfu, Tian, Yufeng, Guan, Ju, Zhang, Qiuyi, Chen, Chen, and Luo, Peigao
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- 2024
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9. Quasi-periodic oscillations of the X-ray burst from the magnetar SGR J1935+2154 and associated with the fast radio burst FRB 200428
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Li, Xiaobo, Ge, Mingyu, Lin, Lin, Zhang, Shuang-Nan, Song, Liming, Cao, Xuelei, Zhang, Bing, Lu, Fangjun, Xu, Yupeng, Xiong, Shaolin, Tuo, Youli, Tan, Ying, Jiang, Weichun, Qu, Jinlu, Zhang, Shu, Wang, Lingjun, Wang, Jieshuang, Zhang, Binbin, Zhang, Peng, Li, Chengkui, Liu, Congzhan, Li, Tipei, Bu, Qingcui, Cai, Ce, Chen, Yong, Chen, Yupeng, Chang, Zhi, Chen, Li, Chen, Tianxian, Chen, Yibao, Cui, Weiwei, Du, Yuanyuan, Gao, Guanhua, Gao, He, Gu, Yudong, Guan, Ju, Guo, Chengcheng, Han, Dawei, Huang, Yue, Huo, Jia, Jia, Shumei, Jin, Jing, Kong, Lingda, Li, Bing, Li, Gang, Li, Wei, Li, Xian, Li, Xufang, Li, Zhengwei, Liang, Xiaohua, Liao, Jinyuan, Liu, Hexin, Liu, Hongwei, Liu, Xiaojing, Lu, Xuefeng, Luo, Qi, Luo, Tao, Ma, Binyuan, Ma, Ruican, Ma, Xiang, Meng, Bin, Nang, Yi, Nie, Jianyin, Ou, Ge, Ren, Xiaoqin, Sai, Na, Song, Xinying, Sun, Liang, Tao, Lian, Wang, Chen, Wang, Pengju, Wang, Wenshuai, Wang, Yusa, Wen, Xiangyang, Wu, Bobing, Wu, Baiyang, Wu, Mei, Xiao, Shuo, Yang, Sheng, Yang, Yanji, Yi, Qibin, Yin, Qianqing, You, Yuan, Yu, Wei, Zhang, Fan, Zhang, Hongmei, Zhang, Juan, Zhang, Wanchang, Zhang, Wei, Zhang, Yifei, Zhang, Yuanhang, Zhao, Haisheng, Zhao, Xiaofan, Zheng, Shijie, and Zhou, Dengke
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
The origin(s) and mechanism(s) of fast radio bursts (FRBs), which are short radio pulses from cosmological distances, have remained a major puzzle since their discovery. We report a strong Quasi-Periodic Oscillation(QPO) of 40 Hz in the X-ray burst from the magnetar SGR J1935+2154 and associated with FRB 200428, significantly detected with the Hard X-ray Modulation Telescope (Insight-HXMT) and also hinted by the Konus-Wind data. QPOs from magnetar bursts have only been rarely detected; our 3.4 sigma (p-value is 2.9e-4) detection of the QPO reported here reveals the strongest QPO signal observed from magnetars (except in some very rare giant flares), making this X-ray burst unique among magnetar bursts. The two X-ray spikes coinciding with the two FRB pulses are also among the peaks of the QPO. Our results suggest that at least some FRBs are related to strong oscillation processes of neutron stars. We also show that we may overestimate the significance of the QPO signal and underestimate the errors of QPO parameters if QPO exists only in a fraction of the time series of a X-ray burst which we use to calculate the Leahy-normalized periodogram., Comment: 17 pages, 13 figures, accepted for publication by ApJ. arXiv admin note: text overlap with arXiv:1212.1011 by other authors. text overlap with arXiv:1212.1011 by other authors
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- 2022
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10. Large-scale analysis of the PAC domain structure of arogenate dehydratases reveals their evolutionary patterns in angiosperms
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Li, Jie, Guan, Ju, Zhong, Shengfu, Chen, Chen, Tan, Feiquan, and Luo, Peigao
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- 2024
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11. Estimate of the Background and Sensitivity of theFollow-up X-ray Telescope onboard Einstein Probe
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Zhang, Juan, Qi, Liqiang, Yang, Yanji, Wang, Juan, Liu, Yuan, Cui, Weiwei, Zhao, Donghua, Jia, Shumie, Li, Tianming, Chen, Tianxiang, Li, Gang, Zhao, Xiaofan, Chen, Yong, Liu, Huaqiu, Bao, Congying, Guan, Ju, Song, Liming, and Yuan, Weimin
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - High Energy Astrophysical Phenomena - Abstract
As a space X-ray imaging mission dedicated to time-domain astrophysics, the Einstein Probe (EP) carries two kinds of scientific payloads, the wide-field X-ray telescope (WXT) and the follow-up X-ray telescope (FXT). FXT utilizes Wolter-I type mirrors and the pn-CCD detectors. In this work, we investigate the in-orbit background of FXT based on Geant4 simulation. The impact of various space components present in the EP orbital environment are considered, such as the cosmic photon background, cosmic ray primary and secondary particles (e.g. protons, electrons and positrons), albedo gamma rays, and the low-energy protons near the geomagnetic equator. The obtained instrumental background at 0.5-10 keV, which is mainly induced by cosmic ray protons and cosmic photon background, corresponds to a level of $\sim$3.1$\times$10$^{-2}$ counts s$^{-1}$ keV$^{-1}$ in the imaging area of the focal plane detector (FPD), i.e. 3.7$\times$10$^{-3}$ counts s$^{-1}$ keV$^{-1}$ cm$^{-2}$ after normalization. Compared with the instrumental background, the field of view (FOV) background, which is induced by cosmic photons reflected by the optical mirror, dominates below 2 keV. Based on the simulated background level within the focal spot (a 30$^{\prime\prime}$-radius circle), the sensitivity of FXT is calculated, which could theoretically achieve several $\mu$crab (in the order of 10$^{-14}$ erg cm$^{-2}$ s$^{-1}$) in 0.5-2 keV and several tens of $\mu$crab (in the order of 10$^{-13}$ erg cm$^{-2}$ s$^{-1}$) in 2-10 keV for a pointed observation with an exposure of 25 minutes. This sensitivity becomes worse by a factor of $\sim2$ if additional 10% systematic uncertainty of the background subtraction is included., Comment: 38 pages, 19 figures, accepted for publication in Astroparticle Physics
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- 2021
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12. Arogenate dehydratase isoforms strategically deregulate phenylalanine biosynthesis in Akebia trifoliata
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Guan, Ju, Zhu, Jun, Liu, Hao, Yang, Hao, Zhong, Shengfu, Chen, Wei, Yi, Xiaoxiao, Chen, Chen, Tan, Feiquan, Shen, Jinliang, and Luo, Peigao
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- 2024
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13. Evolutionary conservation of the fidelity of transcription
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Chung, Claire, Verheijen, Bert M., Navapanich, Zoe, McGann, Eric G., Shemtov, Sarah, Lai, Guan-Ju, Arora, Payal, Towheed, Atif, Haroon, Suraiya, Holczbauer, Agnes, Chang, Sharon, Manojlovic, Zarko, Simpson, Stephen, Thomas, Kelley W., Kaplan, Craig, van Hasselt, Peter, Timmers, Marc, Erie, Dorothy, Chen, Lin, Gout, Jean-Franćois, and Vermulst, Marc
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- 2023
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14. Insight-HXMT observations of jet-like corona in a black hole X-ray binary MAXI J1820+070
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You, Bei, Tuo, Yuoli, Li, Chengzhe, Wang, Wei, Zhang, Shuang-Nan, Zhang, Shu, Ge, Mingyu, Luo, Chong, Liu, Bifang, Yuan, Weimin, Dai, Zigao, Liu, Jifeng, Qiao, Erlin, Jin, Chichuan, Liu, Zhu, Czerny, Bozena, Wu, Qingwen, Bu, Qingcui, Cai, Ce, Cao, Xuelei, Chang, Zhi, Chen, Gang, Chen, Li, Chen, Tianxiang, Chen, Yibao, Chen, Yong, Chen, Yupeng, Cui, Wei, Cui, Weiwei, Deng, Jingkang, Dong, Yongwei, Du, Yuanyuan, Fu, Minxue, Gao, Guanhua, Gao, He, Gao, Min, Gu, Yudong, Guan, Ju, Guo, Chengcheng, Han, Dawei, Huang, Yue, Huo, Jia, Jia, Shumei, Jiang, Luhua, Jiang, Weichun, Jin, Jing, Jin, Yongjie, Kong, Lingda, Li, Bing, Li, Chengkui, Li, Gang, Li, Maoshun, Li, Tipei, Li, Wei, Li, Xian, Li, Xiaobo, Li, Xufang, Li, Yanguo, Li, Zhengwei, Liang, Xiaohua, Liao, Jinyuan, Liu, Congzhan, Liu, Guoqing, Liu, Hongwei, Liu, Xiaojing, Liu, Yinong, Lu, Bo, Lu, Fangjun, Lu, Xuefeng, Luo, Qi, Luo, Tao, Ma, Xiang, Meng, Bin, Nang, Yi, Nie, Jianyin, Ou, Ge, Qu, Jinlu, Sai, Na, Shang, Rencheng, Song, Liming, Song, Xinying, Sun, Liang, Tan, Ying, Tao, Lian, Wang, Chen, Wang, Guofeng, Wang, Juan, Wang, Lingjun, Wang, Wenshuai, Wang, Yusa, Wen, Xiangyang, Wu, Baiyang, Wu, Bobing, Wu, Mei, Xiao, Guangcheng, Xiao, Shuo, Xiong, Shaolin, Xu, Yupeng, Yang, Jiawei, Yang, Sheng, Yang, Yanji, Yi, Qibin, Yin, Qianqing, You, Yuan, Zhang, Aimei, Zhang, Chengmo, Zhang, Fan, Zhang, Hongmei, Zhang, Juan, Zhang, Tong, Zhang, Wanchang, Zhang, Wei, Zhang, Wenzhao, Zhang, Yi, Zhang, Yifei, Zhang, Yongjie, Zhang, Yue, Zhang, Zhao, Zhang, Ziliang, Zhao, Haisheng, Zhao, Xiaofan, Zheng, Shijie, Zhou, Dengke, Zhou, Jianfeng, Zhu, Yuxuan, and Zhu, Yue
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Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Astrophysics of Galaxies - Abstract
A black hole X-ray binary produces hard X-ray radiation from its corona and disk when the accreting matter heats up. During an outburst, the disk and corona co-evolves with each other. However, such an evolution is still unclear in both its geometry and dynamics. Here we report the unusual decrease of the reflection fraction in MAXI J1820+070, which is the ratio of the coronal intensity illuminating the disk to the coronal intensity reaching the observer, as the corona is observed to contrast during the decay phase. We postulate a jet-like corona model, in which the corona can be understood as a standing shock where the material flowing through. In this dynamical scenario, the decrease of the reflection fraction is a signature of the corona's bulk velocity. Our findings suggest that as the corona is observed to get closer to the black hole, the coronal material might be outflowing faster., Comment: 11 pages, 5 figures; published in Nature Communications; An artist's impression of Figure 5 is updated here, and the animation is available at http://youbei.work/research/
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- 2021
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15. Optimizing Quantum Reversible Circuits Using Reinforcement Learning.
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Sheng Yang and Guan-Ju Peng
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- 2023
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16. Identification Strategy of Biological Half Sibling Relationship
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Zheng TAN, Guan-ju MA, Li-hong FU, Xiao-jing ZHANG, Qian WANG, Guang-ping FU, Qing-qing DU, Shu-jin LI
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forensic genetics ,sibling relationship ,half sibling ,likelihood ratio ,identity by state ,short tandem repeats ,single nucleotide polymorphism ,microhaplotype ,Medicine - Abstract
Objective To compare the application value of the likelihood ratio (LR) method and identity by state (IBS) method in the identification involving half sibling relationships, and to provide a reference for the setting of relevant standards for identification of half sibling relationship. Methods (1) Based on the same genetic marker combinations, the reliability of computer simulation method was verified by comparing the distributions of cumulated identity by state score (CIBS) and combined full sibling index in actual cases with the distributions in simulated cases. (2) In different numbers of three genetic marker combinations, the simulation of full sibling, half sibling and unrelated individual pairs, each 1 million pairs, was obtained; the CIBS, as well as the corresponding types of cumulative LR parameters, were calculated. (3) The application value of LR method was compared with that of IBS method, by comparing the best system efficiency provided by LR method and IBS method when genetic markers in different amounts and of different types and accuracy were applied to distinguish the above three relational individual pairs. (4) According to the existing simulation data, the minimum number of genetic markers required to distinguish half siblings from the other two relationships using different types of genetic markers was estimated by curve fitting. Results (1) After the rank sum test, under the premise that the real relationship and the genetic marker combination tested were the same, there was no significant difference between the simulation method and the results obtained in the actual case. (2) In most cases, under the same conditions, the system effectiveness obtained by LR method was greater than that by IBS method. (3) According to the existing data, the number of genetic markers required for full-half siblings and half sibling identification could be obtained by curve fitting when the system effectiveness reached 0.95 or 0.99. Conclusion When distinguishing half sibling from full sibling pairs or unrelated pairs, it is recommended to give preference to the LR method, and estimate the required number of markers according to the identification types and the population data, to ensure the identification effect.
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- 2023
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17. Timing analysis of the black hole candidate EXO 1846-031 with Insight-HXMT monitoring
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Liu, He-Xin, Huang, Yue, Xiao, Guang-Cheng, Bu, Qing-Cui, Qu, Jin-Lu, Zhang, Shu, Zhang, Shuang-Nan, Jia, Shu-Mei, Lu, Fang-Jun, Ma, Xiang, Tao, Lian, Zhang, Wei, Chen, Li, Song, Li-Ming, Li, Ti-Pei, Xu, Yu-Peng, Cao, Xue-Lei, Chen, Yong, Liu, Cong-Zhan, Cai, Ce, Chang, Zhi, Chen, Gang, Chen, Tian-Xiang, Chen, Yi-Bao, Chen, Yu-Peng, Cui, Wei, Cui, Wei-Wei, Deng, Jing-Kang, Dong, Yong-Wei, Du, Yuan-Yuan, Fu, Min-Xue, Gao, Guan-Hua, Gao, He, Gao, Min, Ge, Ming-Yu, Gu, Yu-Dong, Guan, Ju, Guo, Cheng-Cheng, Han, Da-Wei, Huo, Jia, Jiang, Lu-Hua, Jiang, Wei-Chun, Jin, Jing, Jin, Yong-Jie, Kong, Ling-Da, Li, Bing, Li, Cheng-Kui, Li, Gang, Li, Mao-Shun, Li, Wei, Li, Xian, Li, Xiao-Bo, Li, Xu-Fang, Li, Yang-Guo, Li, Zheng-Wei, Liang, Xiao-Hua, Liao, Jing-Yuan, Liu, Bai-Sheng, Liu, Guo-Qing, Liu, Hong-Wei, Liu, Xiao-Jing, Liu, Yi-Nong, Lu, Bo, Lu, Xue-Feng, Luo, Qi, Luo, Tao, Meng, Bin, Nang, Yi, Nie, Jian-Yin, Ou, Ge, Sai, Na, Shang, Ren-Cheng, Song, Xin-Ying, Sun, Liang, Tan, Ying, Tuo, You-Li, Wang, Chen, Wang, Guo-Feng, Wang, Juan, Wang, Ling-Jun, Wang, Weng-Shuai, Wang, Yu-Sa., Wen, Xiang-Yang, Wu, Bai-Yang, Wu, Bo-Bing, Wu, Mei, Xiao, Shuo, Xiong, Shao-Lin, Xu, He, Yang, Jia-Wei, Yang, Sheng, Yang, Yan-Ji, Yang, Yi-Jung, Yi, Qi-Bin, Yin, Qian-Qing, You, Yuan, Zhang, Ai-Mei, Zhang, Cheng-Mo, Zhang, Fan, Zhang, Hong-Mei, Zhang, Juan, Zhang, Tong, Zhang, Wan-Chang, Zhang, Wen-Zhao, Yi-Zhang, Zhang, Yi-Fei, Zhang, Yong-Jie, Zhang, Yuan-Hang, Zhang, Yue, Zhang, Zhao, Zhang, Zhi, Zhang, Zi-Liang, Zhao, Hai-Sheng, Zhao, Xiao-Fan, Zheng, Shi-Jie, Zheng, Yao-Guang, Zhou, Deng-Ke, Zhou, Jian-Feng, Zhu, Yu-Xuan, Zhuang, Ren-Lin, and Zhu, Yue
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
We present the observational results from a detailed timing analysis of the black hole candidate EXO 1846-031 during its outburst in 2019 with the observations of Insight-HXMT, NICER and MAXI. This outburst can be classfied roughly into four different states. Type-C quasi-periodic oscillations (QPOs) observed by NICER (about 0.1-6Hz) and Insight-HXMT (about 0.7-8Hz) are also reported in this work. Meanwhile, we study various physical quantities related to QPO frequency.The QPO rms-frequency relationship in three energy band 1-10 keV indicates that there is a turning pointing in frequency around 2 Hz,which is similar to that of GRS 1915+105. A possible hypothesis for the relationship above may be related to the inclination of the source, which may require a high inclination to explain it. The relationships between QPO frequency and QPO rms,hardness,total fractional rms and count rate have also been found in other transient sources, which can indicate that the origin of type-C QPOs is non-thermal.
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- 2020
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18. Discovery of oscillations above 200 keV in a black hole X-ray binary with Insight-HXMT
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Ma, Xiang, Tao, Lian, Zhang, Shuang-Nan, Zhang, Liang, Bu, Qing-Cui, Ge, Ming-Yu, Chen, Yu-Peng, Qu, Jin-Lu, Zhang, Shu, Lu, Fang-Jun, Song, Li-Ming, Yang, Yi-Jung, Yuan, Feng, Cai, Ce, Cao, Xue-Lei, Chang, Zhi, Chen, Gang, Chen, Li, Chen, Tian-Xiang, Chen, Yi-Bao, Chen, Yong, Cui, Wei, Cui, Wei-Wei, Deng, Jing-Kang, Dong, Yong-Wei, Du, Yuan-Yuan, Fu, Min-Xue, Gao, Guan-Hua, Gao, He, Gao, Min, Gu, Yu-Dong, Guan, Ju, Guo, Cheng-Cheng, Han, Da-Wei, Huang, Yue, Huo, Jia, Ji, Long, Jia, Shu-Mei, Jiang, Lu-Hua, Jiang, Wei-Chun, Jin, Jing, Jin, Yong-Jie, Kong, Ling-Da, Li, Bing, Li, Cheng-Kui, Li, Gang, Li, Mao-Shun, Li, Ti-Pei, Li, Wei, Li, Xian, Li, Xiao-Bo, Li, Xu-Fang, Li, Yan-Guo, Li, Zheng-Wei, Liang, Xiao-Hua, Liao, Jin-Yuan, Liu, Bai-Sheng, Liu, Cong-Zhan, Liu, Guo-Qing, Liu, Hong-Wei, Liu, Xiao-Jing, Liu, Yi-Nong, Lu, Bo, Lu, Xue-Feng, Luo, Qi, Luo, Tao, Meng, Bin, Nang, Yi, Nie, Jian-Yin, Ou, Ge, Sai, Na, Shang, Ren-Cheng, Song, Xin-Ying, Sun, Liang, Tan, Ying, Tuo, Yuo-Li, Wang, Chen, Wang, Guo-Feng, Wang, Juan, Wang, Ling-Jun, Wang, Wen-Shuai, Wang, Yu-Sa, Wen, Xiang-Yang, Wu, Bai-Yang, Wu, Bo-Bing, Wu, Mei, Xiao, Guang-Cheng, Xiao, Shuo, Xie, Fu-Guo, Xiong, Shao-Lin, Xu, He, Xu, Yu-Peng, Yang, Jia-Wei, Yang, Sheng, Yang, Yan-Ji, Yi, Qi-Bin, Yin, Qian-Qing, You, Yuan, Zhang, Ai-Mei, Zhang, Cheng-Mo, Zhang, Fan, Zhang, Hong-Mei, Zhang, Juan, Zhang, Tong, Zhang, Wan-Chang, Zhang, Wei, Zhang, Wen-Zhao, Zhang, Yi, Zhang, Yi-Fei, Zhang, Yong-Jie, Zhang, Yue, Zhang, Zhao, Zhang, Zhi, Zhang, Zi-Liang, Zhao, Hai-Sheng, Zhao, Xiao-Fan, Zheng, Shi-Jie, Zhou, Deng-Ke, Zhou, Jian-Feng, Zhu, Yu-Xuan, Zhu, Yue, and Zhuang, Ren-Lin
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
Low-frequency quasi-periodic oscillations (LFQPOs) are commonly found in black hole X-ray binaries, and their origin is still under debate. The properties of LFQPOs at high energies (above 30 keV) are closely related to the nature of the accretion flow in the innermost regions, and thus play a crucial role in critically testing various theoretical models. The Hard X-ray Modulation Telescope (Insight-HXMT) is capable of detecting emissions above 30 keV, and is therefore an ideal instrument to do so. Here we report the discovery of LFQPOs above 200 keV in the new black hole MAXI J1820+070 in the X-ray hard state, which allows us to understand the behaviours of LFQPOs at hundreds of kiloelectronvolts. The phase lag of the LFQPO is constant around zero below 30 keV, and becomes a soft lag (that is, the high-energy photons arrive first) above 30 keV. The soft lag gradually increases with energy and reaches ~0.9s in the 150-200 keV band. The detection at energies above 200 keV, the large soft lag and the energy-related behaviors of the LFQPO pose a great challenge for most currently existing models, but suggest that the LFQPO probably originates from the precession of a small-scale jet., Comment: 36 pages, 12 figures, 3 tables; published in Nature Astronomy
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- 2020
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19. Methodology and Performance of the Two-Year Galactic Plane Scanning Survey of Insight-HXMT
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Sai, Na, Liao, JinYuan, Li, ChengKui, Guan, Ju, Wang, Chen, Nang, Yi, Liu, Yuan, Guo, ChengCheng, Zhang, Shu, and Zhang, ShuangNan
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - High Energy Astrophysical Phenomena - Abstract
The Galactic plane scanning survey is one of the main scientific objectives of the Hard X-ray Modulation Telescope (known as Insight-HXMT). During the two-year operation of Insight-HXMT, more than 1000 scanning observations have been performed and the whole Galactic plane ($\rm 0^{\circ}
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- 2020
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20. In-orbit Calibration to the Point-Spread Function of Insight-HXMT
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Nang, Yi, Liao, Jin-Yuan, Sai, Na, Wang, Chen, Guan, Ju, Li, Cheng-Kui, Guo, Cheng-Cheng, Liu, Yuan, Jin, Jing, Li, Xiao-Bo, Zhang, Shu, and Zhang, Shuang-Nan
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
We make the in-orbit calibration to the point-spread functions (PSFs) of the collimators of the Hard X-ray Modulation Telescope with the scanning observation of the Crab. We construct the empirical adjustments to the theoretically calculated geometrical PSFs. The adjustments contain two parts: a rotating matrix to adjust the directional deviation of the collimators and a paraboloidal function to correct the inhomogeneity of the real PSFs. The parameters of the adjusting matrices and paraboloidal functions are determined by fitting the scanning data with lower scanning speed and smaller intervals during the calibration observations. After the PSF calibration, the systematic errors in source localization in the Galactic plane scanning survey are 0.010 deg, 0.015 deg, 0.113 deg for the Low-Energy Telescope (LE), the Medium-Energy telescope (ME) and the High-Energy telescope (HE), respectively; meanwhile, the systematic errors in source flux estimation are 1.8%, 1.6%, 2.7% for LE, ME and HE, respectively., Comment: 15 pages, 27 figures, accepted for publication in JHEAP
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- 2020
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21. Evolutionary conservation of the fidelity of transcription
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Claire Chung, Bert M. Verheijen, Zoe Navapanich, Eric G. McGann, Sarah Shemtov, Guan-Ju Lai, Payal Arora, Atif Towheed, Suraiya Haroon, Agnes Holczbauer, Sharon Chang, Zarko Manojlovic, Stephen Simpson, Kelley W. Thomas, Craig Kaplan, Peter van Hasselt, Marc Timmers, Dorothy Erie, Lin Chen, Jean-Franćois Gout, and Marc Vermulst
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Science - Abstract
The molecular mechanisms that ensure faithful transcription of genetic information are still unclear. Chung et al. identify various genes, alleles and processes that affect the fidelity of transcription multiple organisms, suggesting evolutionary conservation of fidelity factors, and compare the error rate of transcription among these species.
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- 2023
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22. Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite
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Zhang, ShuangNan, Li, TiPei, Lu, FangJun, Song, LiMing, Xu, YuPeng, Liu, CongZhan, Chen, Yong, Cao, XueLei, Bu, QingCui, Cai, Ce, Chang, Zhi, Chen, Gang, Chen, Li, Chen, TianXiang, Chen, Wei, Chen, YiBao, Chen, YuPeng, Cui, Wei, Cui, WeiWei, Deng, JingKang, Dong, YongWei, Du, YuanYuan, Fu, MinXue, Gao, GuanHua, Gao, He, Gao, Min, Ge, MingYu, Gu, YuDong, Guan, Ju, Gungor, Can, Guo, ChengCheng, Han, DaWei, Hu, Wei, Huang, Yan, Huang, Yue, Huo, Jia, Jia, ShuMei, Jiang, LuHua, Jiang, WeiChun, Jin, Jing, Jin, YongJie, Kong, Lingda, Li, Bing, Li, ChengKui, Li, Gang, Li, MaoShun, Li, Wei, Li, Xian, Li, XiaoBo, Li, XuFang, Li, YanGuo, Li, ZiJian, Li, ZhengWei, Liang, XiaoHua, Liao, JinYuan, Liu, Baisheng, Liu, GuoQing, Liu, HongWei, Liu, ShaoZhen, Liu, XiaoJing, Liu, Yuan, Liu, YiNong, Lu, Bo, Lu, XueFeng, Luo, Qi, Luo, Tao, Ma, Xiang, Meng, Bin, Nang, Yi, Nie, JianYin, Ou, Ge, Qu, JinLu, Sai, Na, Shang, RenCheng, Shen, GuoHong, Song, XinYing, Sun, Liang, Tan, Ying, Tao, Lian, Tao, WenHui, Tuo, YouLi, Wang, ChunQin, Wang, GuoFeng, Wang, HuanYu, Wang, Juan, Wang, WenShuai, Wang, YuSa, Wen, XiangYang, Wu, BoBing, Wu, Mei, Xiao, GuangCheng, Xiao, Shuo, Xiong, ShaoLin, Xu, He, Yan, LinLi, Yang, JiaWei, Yang, Sheng, Yang, YanJi, Yi, Qibin, Yu, JiaXi, Yuan, Bin, Zhang, AiMei, Zhang, ChunLei, Zhang, ChengMo, Zhang, Fan, Zhang, HongMei, Zhang, Juan, Zhang, Liang, Zhang, Qiang, Zhang, ShenYi, Zhang, Shu, Zhang, Tong, Zhang, Wei, Zhang, WanChang, Zhang, WenZhao, Zhang, Yi, Zhang, Yue, Zhang, YiFei, Zhang, YongJie, Zhang, Zhao, Zhang, Zhi, Zhang, ZiLiang, Zhao, HaiSheng, Zhao, JianLing, Zhao, XiaoFan, Zheng, ShiJie, Zhu, Yue, Zhu, YuXuan, Zhuang, Renlin, and Zou, ChangLin
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - High Energy Astrophysical Phenomena - Abstract
As China's first X-ray astronomical satellite, the Hard X-ray Modulation Telescope (HXMT), which was dubbed as Insight-HXMT after the launch on June 15, 2017, is a wide-band (1-250 keV) slat-collimator-based X-ray astronomy satellite with the capability of all-sky monitoring in 0.2-3 MeV. It was designed to perform pointing, scanning and gamma-ray burst (GRB) observations and, based on the Direct Demodulation Method (DDM), the image of the scanned sky region can be reconstructed. Here we give an overview of the mission and its progresses, including payload, core sciences, ground calibration/facility, ground segment, data archive, software, in-orbit performance, calibration, background model, observations and some preliminary results., Comment: 29 pages, 40 figures, 6 tables, to appear in Sci. China-Phys. Mech. Astron. arXiv admin note: text overlap with arXiv:1910.04434
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- 2019
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23. Studies on the time response distribution of Insigh}-HXMT/LE
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Zhao, Xiao-Fan, Zhu, Yu-Xuan, Han, Da-Wei, Cui, Wei-Wei, Li, Wei, Wang, Juan, Wang, Yu-Sa, Zhang, Yi, Yang, Yan-Ji, Lu, Bo, Huo, Jia, Zhang, Zi-Liang, Chen, Tian-Xiang, Li, Mao-Shun, Lv, Zhong-Hua, Chen, Yong, Bu, Qing-Cui, Cai, Ce, Cao, Xue-Lei, Chang, Zhi, Chen, Gang, Chen, Li, Chen, Yi-Bao, Chen, Yu-Peng, Cui, Wei, Deng, Jing-Kang, Dong, Yong-Wei, Du, Yuan-Yuan, Fu, Min-Xue, Gao, Guan-Hua, Gao, He, Gao, Min, Ge, Ming-Yu, Gu, Yu-Dong, Guan, Ju, Guo, Cheng-Cheng, Huang, Yue, Jia, Shu-Mei, Jiang, Lu-Hua, Jiang, Wei-Chun, Jin, Jing, Kong, Ling-Da, Li, Bing, Li, Cheng-Kui, Li, Gang, Li, Ti-Bei, Li, Xian, Li, Xiao-Bo, Li, Xu-Fang, Li, Yan-Guo, Li, Zheng-Wei, Liang, Xiao-Hua, Liao, Jin-Yuan, Liu, Cong-Zhan, Liu, Guo-Qing, Liu, Hong-Wei, Liu, Xiao-Jing, Liu, Yi-Nong, Lu, Fang-Jun, Lu, Xue-Feng, Luo, Qi, Luo, Tao, Ma, Xiang, Meng, Bin, Nang, Yi, Nie, Jian-Ying, Qu, Jin-Lu, Sai, Na, Song, Li-Ming, Song, Xin-Ying, Sun, Liang, Tan, Ying, Tao, Lian, Tuo, You-Li, Wang, Chen, Wang, Guo-Feng, Wen, Xiang-Yang, Wu, Bai-Yang, Wu, Bo-Bing, Wu, Mei, Xiao, Guang-Cheng, Xiao, Shuo, Xiong, Shao-Lin, Xu, Yu-Peng, Yang, Jia-Wei, Yang, Sheng, Yi, Qi-Bin, Yin, Qian-Qing, You, Yuan, Zhang, Ai-Mei, Zhang, Cheng-Mo, Zhang, Fan, Zhang, Juan, Zhang, Shu, Zhang, Shuang-Nan, Zhang, Tong, Zhang, Wan-Chang, Zhang, Wei, Zhang, Wen-Zhao, Zhang, Yi-Fei, Zhang, Yong-Jie, Zhang, Yue, Zhang, Zhao, Zhao, Hai-Sheng, Zheng, Shi-Jie, Zhou, Deng-Ke, Zhou, Jian-Feng, and Zhu, Yue
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
The Hard X-ray Modulation Telescope (HXMT) named Insight is China's first X-ray astronomical satellite. The Low Energy X-ray Telescope (LE) is one of its main payloads onboard. The detectors of LE adopt swept charge device CCD236 with L-shaped transfer electrodes. Charges in detection area are read out continuously along specific paths, which leads to a time response distribution of photons readout time. We designed a long exposure readout mode to measure the time response distribution. In this mode, CCD236 firstly performs exposure without readout, then all charges generated in preceding exposure phase are read out completely. Through analysis of the photons readout time in this mode, we obtained the probability distribution of photons readout time.
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- 2019
24. Insight-HXMT observations of Swift J0243.6+6124 during its 2017-2018 outburst
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Zhang, Yue, Ge, Mingyu, Song, Liming, Zhang, Shuangnan, Qu, Jinlu, Zhang, Shu, Doroshenko, Victor, Tao, Lian, Ji, Long, Güngör, Can, Santangelo, Andrea, Shi, Changsheng, Chang, Zhi, Chen, Gang, Chen, Li, Chen, Tianxiang, Chen, Yong, Chen, Yibao, Cui, Wei, Cui, Weiwei, Deng, Jingkang, Dong, Yongwei, Du, Yuanyuan, Fu, Minxue, Gao, Guanhua, Gao, He, Gao, Min, Gu, Yudong, Guan, Ju, Guo, Chengcheng, Han, Dawei, Hu, Wei, Huang, Yue, Huo, Jia, Jia, Shumei, Jiang, Luhua, Jiang, Weichun, Jin, Jing, Jin, Yongjie, Li, Bing, Li, Chengkui, Li, Gang, Li, Maoshun, Li, Wei, Li, Xian, Li, Xiaobo, Li, Xufang, Li, Yanguo, Li, Zijian, Li, Zhengwei, Liang, Xiaohua, Liao, Jinyuan, Liu, Congzhan, Liu, Guoqing, Liu, Hongwei, Liu, Shaozhen, Liu, Xiaojing, Liu, Yuan, Liu, Yinong, Lu, Bo, Lu, Xuefeng, Luo, Tao, Ma, Xiang, Meng, Bin, Nang, Yi, Nie, Jianyin, Ou, Ge, Sai, Na, Sun, Liang, Tan, Ying, Tao, Wenhui, Tuo, Youli, Wang, Guofeng, Wang, Huanyu, Wang, Juan, Wang, Wenshuai, Wang, Yusa, Wen, Xiangyang, Wu, Bobing, Wu, Mei, Xiao, Guangcheng, Xiong, Shaolin, Xu, He, Xu, Yupeng, Yan, Linli, Yang, Jiawei, Yang, Sheng, Yang, Yanji, Zhang, Aimei, Zhang, Chunlei, Zhang, Chengmo, Zhang, Fan, Zhang, Hongmei, Zhang, Juan, Zhang, Tong, Zhang, Wei, Zhang, Wanchang, Zhang, Wenzhao, Zhang, Yi, Zhang, Yifei, Zhang, Yongjie, Zhang, Zhao, Zhang, Ziliang, Zhao, Haisheng, Zhao, Jianling, Zhao, Xiaofan, Zheng, Shijie, Zhu, Yue, Zhu, Yuxuan, and Zou, Changlin
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
The recently discovered neutron star transient Swift J0243.6+6124 has been monitored by {\it the Hard X-ray Modulation Telescope} ({\it Insight-\rm HXMT). Based on the obtained data, we investigate the broadband spectrum of the source throughout the outburst. We estimate the broadband flux of the source and search for possible cyclotron line in the broadband spectrum. No evidence of line-like features is, however, found up to $\rm 150~keV$. In the absence of any cyclotron line in its energy spectrum, we estimate the magnetic field of the source based on the observed spin evolution of the neutron star by applying two accretion torque models. In both cases, we get consistent results with $B\rm \sim 10^{13}~G$, $D\rm \sim 6~kpc$ and peak luminosity of $\rm >10^{39}~erg~s^{-1}$ which makes the source the first Galactic ultraluminous X-ray source hosting a neutron star., Comment: published
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- 2019
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25. The PPR-Domain Protein SOAR1 Regulates Salt Tolerance in Rice
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Lu, Kai, Li, Cheng, Guan, Ju, Liang, Wen-Hua, Chen, Tao, Zhao, Qing-Yong, Zhu, Zhen, Yao, Shu, He, Lei, Wei, Xiao-Dong, Zhao, Ling, Zhou, Li-Hui, Zhao, Chun-Fang, Wang, Cai-Lin, and Zhang, Ya-Dong
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- 2022
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26. Estimate of the background and sensitivity of the follow-up X-ray telescope onboard Einstein Probe
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Zhang, Juan, Qi, Liqiang, Yang, Yanji, Wang, Juan, Liu, Yuan, Cui, Weiwei, Zhao, Donghua, Jia, Shumei, Li, Tianming, Chen, Tianxiang, Li, Gang, Zhao, Xiaofan, Chen, Yong, Liu, Huaqiu, Bao, Congying, Guan, Ju, Song, Liming, and Yuan, Weimin
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- 2022
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27. Insight-HXMT observations of the first binary neutron star merger GW170817
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Li, TiPei, Xiong, ShaoLin, Zhang, ShuangNan, Lu, FangJun, Song, LiMing, Cao, XueLei, Chang, Zhi, Chen, Gang, Chen, Li, Chen, TianXiang, Chen, Yong, Chen, YiBao, Chen, YuPeng, Cui, Wei, Cui, WeiWei, Deng, JingKang, Dong, YongWei, Du, YuanYuan, Fu, MinXue, Gao, GuanHua, Gao, He, Gao, Min, Ge, MingYu, Gu, YuDong, Guan, Ju, Guo, ChengCheng, Han, DaWei, Hu, Wei, Huang, Yue, Huo, Jia, Jia, ShuMei, Jiang, LuHua, Jiang, WeiChun, Jin, Jing, Jin, YongJie, Li, Bing, Li, ChengKui, Li, Gang, Li, MaoShun, Li, Wei, Li, Xian, Li, XiaoBo, Li, XuFang, Li, YanGuo, Li, ZiJian, Li, ZhengWei, Liang, XiaoHua, Liao, JinYuan, Liu, CongZhan, Liu, GuoQing, Liu, HongWei, Liu, ShaoZhen, Liu, XiaoJing, Liu, Yuan, Liu, YiNong, Lu, Bo, Lu, XueFeng, Luo, Tao, Ma, Xiang, Meng, Bin, Nang, Yi, Nie, JianYin, Ou, Ge, Qu, JinLu, Sai, Na, Sun, Liang, Tan, Yin, Tao, Lian, Tao, WenHui, Tuo, YouLi, Wang, GuoFeng, Wang, HuanYu, Wang, Juan, Wang, WenShuai, Wang, YuSa, Wen, XiangYang, Wu, BoBing, Wu, Mei, Xiao, GuangCheng, Xu, He, Xu, YuPeng, Yan, LinLi, Yang, JiaWei, Yang, Sheng, Yang, YanJi, Zhang, AiMei, Zhang, ChunLei, Zhang, ChengMo, Zhang, Fan, Zhang, HongMei, Zhang, Juan, Zhang, Qiang, Zhang, Shu, Zhang, Tong, Zhang, Wei, Zhang, WanChang, Zhang, WenZhao, Zhang, Yi, Zhang, Yue, Zhang, YiFei, Zhang, YongJie, Zhang, Zhao, Zhang, ZiLiang, Zhao, HaiSheng, Zhao, JianLing, Zhao, XiaoFan, Zheng, ShiJie, Zhu, Yue, Zhu, YuXuan, and Zou, ChangLin
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
Finding the electromagnetic (EM) counterpart of binary compact star merger, especially the binary neutron star (BNS) merger, is critically important for gravitational wave (GW) astronomy, cosmology and fundamental physics. On Aug. 17, 2017, Advanced LIGO and \textit{Fermi}/GBM independently triggered the first BNS merger, GW170817, and its high energy EM counterpart, GRB 170817A, respectively, resulting in a global observation campaign covering gamma-ray, X-ray, UV, optical, IR, radio as well as neutrinos. The High Energy X-ray telescope (HE) onboard \textit{Insight}-HXMT (Hard X-ray Modulation Telescope) is the unique high-energy gamma-ray telescope that monitored the entire GW localization area and especially the optical counterpart (SSS17a/AT2017gfo) with very large collection area ($\sim$1000 cm$^2$) and microsecond time resolution in 0.2-5 MeV. In addition, \textit{Insight}-HXMT quickly implemented a Target of Opportunity (ToO) observation to scan the GW localization area for potential X-ray emission from the GW source. Although it did not detect any significant high energy (0.2-5 MeV) radiation from GW170817, its observation helped to confirm the unexpected weak and soft nature of GRB 170817A. Meanwhile, \textit{Insight}-HXMT/HE provides one of the most stringent constraints (~10$^{-7}$ to 10$^{-6}$ erg/cm$^2$/s) for both GRB170817A and any other possible precursor or extended emissions in 0.2-5 MeV, which help us to better understand the properties of EM radiation from this BNS merger. Therefore the observation of \textit{Insight}-HXMT constitutes an important chapter in the full context of multi-wavelength and multi-messenger observation of this historical GW event., Comment: accepted by Science China - Physics, Mechanics & Astronomy. Planned to publish on Oct 17, but postponed due to a problem on pdf file
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- 2017
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28. BGISEQ-500RS sequencing of a 448-plex SNP panel for forensic individual identification and kinship analysis
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Zhao, Guang-Bin, Ma, Guan-Ju, Zhang, Chi, Kang, Ke-Lai, Li, Shu-Jin, and Wang, Le
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- 2021
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29. Calculation of the Probability Distribution of CIBS Score in Different Relationships and Its Application
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MA Guan-ju, LI Shu-jin
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forensic genetics ,kindship ,identity by state ,binomial distribution ,multinomial distribution ,Medicine - Abstract
Objective To derive the probability distribution formula of combined identity by state (CIBS) score among individuals with different relationships based on population data of autosomal multiallelic genetic markers. Methods The probabilities of different identity by state (IBS) scores occurring at a single locus between two individuals with different relationships were derived based on the principle of ITO method. Then the distribution probability formula of CIBS score between two individuals with different relationships when a certain number of genetic markers were used for relationship identification was derived based on the multinomial distribution theory. The formula was compared with the CIBS probability distribution formula based on binomial distribution theory. Results Between individuals with a certain relationship, labelled as RS, the probabilities of IBS=2, 1 and 0 occurring at a certain autosomal genetic marker x (that is, p2(RSx), p1(RSx) and p0(RSx)), can be calculated based on the allele frequency data of that genetic marker and the probability of two individuals with the corresponding RS relationship sharing 0, 1 or 2 identity by descent (IBD) alleles (that is, φ0, φ1 and φ2). For a genotyping system with multiple independent genetic markers, the distribution of CIBS score between pairs of individuals with relationships other than parent-child can be deducted using the averages of the 3 probabilities of all genetic markers (that is, p2(RS), p1(RS) and p0(RS)), based on multinomial distribution theory. Conclusion The calculation of CIBS score distribution formula can be extended to all kinships and has great application value in case interpretation and system effectiveness evaluation. In most situations, the results based on binomial distribution formula are similar to those based on the formula derived in this study, thus, there is little difference between the two methods in actual work.
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- 2021
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30. Extraordinary warm ductility of a Mn-rich high-strength steel achieved at temperature below 0.5 Tm
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Cheng, Guan-Ju, Lai, Zen-Hao, Jia, Tao, Huang, Ching-Yuan, and Yen, Hung-Wei
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- 2021
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31. Application of a multiscale maximum entropy image restoration algorithm to HXMT observations
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Guan, Ju, Song, Li-Ming, and Huo, Zhuo-Xi
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Astrophysics - Instrumentation and Methods for Astrophysics ,F.2.1 - Abstract
This paper introduces a multiscale maximum entropy (MSME) algorithm for image restoration of the Hard X-ray Modulation Telescope (HXMT), which is a collimated scan X-ray satellite mainly devoted to a sensitive all-sky survey and pointed observation in 1-250 keV. The novelty of the MSME method is to use wavelet decomposition and multiresolution support to control noise amplification in the different scales. And our work is focused on the application and modification of this method to restore diffuse sources detected by HXMT scanning observation. And an improved method, ensemble multiscale maximum entropy (EMSME) algorithm, is proposed to alleviate the problem of mode mixing exiting in MSME. Simulation have been performed on the detection of the diffuse source Cen A by HXMT in the all-sky survey mode. The results show that the MSME method is adapted to the deconvolution task of HXMT for diffuse source detection and the improved method could suppress noise and improve the correlation and signal-to-noise ratio, thus proving itself a better algorithm for image restoration. Through one all-sky survey, HXMT could reach a capacity of detecting a diffuse source with maximum differential flux of 0.5 mCrab., Comment: 8 pages, 10 figures, 1 table
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- 2015
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32. Simulation of the In-flight Background for HXMT/HE
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Xie, Fei, Zhang, Juan, Song, Li-Ming, Xiong, Shao-Lin, and Guan, Ju
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
The Hard X-ray Modulation Telescope (HXMT) is a broad band X-ray astronomical satellite from 1 to 250 keV. Understanding the X-ray background in detail will help to achieve a good performance of the instrument. In this work, we make use of the mass modelling technique to estimate the background of High Energy Telescope (HE) aboard HXMT. It consists of three steps. First, we built a complete geometric model of HXMT. Then based on the investigation about the space environment concerning HXMT low-earth orbit, in our simulation we considered cosmic rays, cosmic X-ray background (CXB), South Atlantic Anomaly (SAA) trapped particles, the albedo gamma and neutrons from interaction of cosmic rays with the Earth's atmosphere. Finally, the Shielding Physics List supplied by Geant4 collaborations was adopted. According to our simulation, (1) the total background of HXMT/HE is about 540 count/s on average over 20-250 keV energy band after 100 days in orbit; (2) the delayed component caused by cosmic rays and SAA trapped particles dominates the full energy band of HXMT/HE; (3) some emission lines are prominent in the background continuum spectrum and will be used for in-orbit calibration; (4) the estimated sensitivity is approximately 0.1 mCrab at 50 keV with an exposure of $10^{6}$ s.
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- 2015
33. Fatigue analyses and life predictions of laser-welded lap-shear specimens made of low carbon and high strength low alloy steels
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Su, Zheng-Ming, Lin, Pai-Chen, Lai, Wei-Jen, Pan, Jwo, Cheng, Guan-Ju, and Yen, Hung-Wei
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- 2020
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34. Confirming the spin parameter of the black hole in Cygnus X-1 using the Insight-HXMT
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Zhao, Xue-Shan, Dong, Yan-Ting, Gou, Li-Jun, Feng, Ye, Jia, Nan, Li, Yu-Feng, Liao, Zhen-Xuan, Liu, Ji-Ren, Zheng, Xue-Ying, Zhang, Shuang-Nan, Qu, Jin-Lu, Song, Li-Ming, Zhang, Shu, Bu, Qing-Cui, Cai, Ce, Cao, Xue-Lei, Chang, Zhi, Chen, Gang, Chen, Li, Chen, Tian-Xiang, Chen, Yi-Bao, Chen, Yong, Chen, Yu-Peng, Cui, Wei, Cui, Wei-Wei, Deng, Jing-Kang, Dong, Yong-Wei, Du, Yuan-Yuan, Fu, Min-Xue, Gao, Guan-Hua, Gao, He, Gao, Min, Ge, Ming-Yu, Gu, Yu-Dong, Guan, Ju, Guo, Cheng-Cheng, Han, Da-Wei, Huang, Yue, Huo, Jia, Jia, Shu-Mei, Jiang, Lu-Hua, Jiang, Wei-Chun, Jin, Jing, Jin, Yong-Jie, Kong, Ling-Da, Li, Bing, Li, Cheng-Kui, Li, Gang, Li, Mao-Shun, Li, Ti-Pei, Li, Wei, Li, Xian, Li, Xiao-Bo, Li, Xu-Fang, Li, Yan-Guo, Li, Zheng-Wei, Liang, Xiao-Hua, Liao, Jin-Yuan, Liu, Bai-Sheng, Liu, Cong-Zhan, Liu, Guo-Qing, Liu, He-Xin, Liu, Hong-Wei, Liu, Xiao-Jing, Liu, Yi-Nong, Lu, Bo, Lu, Fang-Jun, Lu, Xue-Feng, Luo, Qi, Luo, Tao, Ma, Xiang, Meng, Bin, Nang, Yi, Nie, Jian-Yin, Ou, Ge, Sai, Na, Shang, Ren-Cheng, Song, Xin-Ying, Sun, Liang, Tan, Ying, Tao, Lian, Tuo, You-Li, Wang, Chen, Wang, Guo-Feng, Wang, Juan, Wang, Wen-Shuai, Wang, Yu-Sa, Wen, Xiang-Yang, Wu, Bai-Yang, Wu, Bo-Bing, Wu, Mei, Xiao, Guang-Cheng, Xiao, Shuo, Xiong, Shao-Lin, Xu, Yu-Peng, Yang, Jia-Wei, Yang, Sheng, Yang, Yan-Ji, Yang, Yi-Rong, Yi, Qi-Bin, Yin, Qian-Qing, You, Yuan, Zhang, Ai-Mei, Zhang, Cheng-Mo, Zhang, Fan, Zhang, Hong-Mei, Zhang, Juan, Zhang, Tong, Zhang, Wan-Chang, Zhang, Wei, Zhang, Wen-Zhao, Zhang, Yi, Zhang, Yi-Fei, Zhang, Yong-Jie, Zhang, Yue, Zhang, Zhao, Zhang, Zhi, Zhang, Zi-Liang, Zhao, Hai-Sheng, Zhao, Xiao-Fan, Zheng, Shi-Jie, Zhou, Deng-Ke, Zhou, Jian-Feng, Zhu, Yu-Xuan, Yue-Zhu, and Zhuang, Ren-Lin
- Published
- 2020
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35. A modified direct demodulation method applied to Insight-HXMT Galactic plane scanning survey
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Guan, Ju, Lu, Fang-Jun, Zhang, Shu, Song, Li-Ming, Chen, Yong, Liao, Jin-Yuan, Li, Cheng-Kui, Nang, Yi, Sai, Na, Wang, Chen, and Zhang, Shuang-Nan
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- 2020
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36. Nanoscale compositional fluctuations enabled by dynamic strain-induced austenite reversion in a Mn-rich duplex steel
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Cheng, Guan-Ju, Lilensten, Lola, Huang, Ching-Yuan, Gault, Baptiste, and Yen, Hung-Wei
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- 2020
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37. Microstrain and boundary misorientation evolution for recrystallized super DSS after deformation
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Li, Jian-Sin, Cheng, Guan-Ju, Yen, Hung-Wei, Yang, Yo-Lun, Chang, Horng-Yi, Wu, Chen-Yu, Wang, Shing-Hoa, and Yang, Jer-Ren
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- 2020
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38. Effect of Different Salt Additions on the Flavor Profile of Fermented Ciba Pepper
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Xiong, Yiling, primary, Zhu, Chenglin, additional, Wu, Baozhu, additional, Wang, Tianyang, additional, Yang, Lian, additional, Guan, Ju, additional, Yi, Yuwen, additional, Deng, Jing, additional, and Wu, Huachang, additional
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- 2024
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39. Learning the sparse prior: Modern approaches
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Peng, Guan‐Ju, primary
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- 2024
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40. Discovery of oscillations above 200 keV in a black hole X-ray binary with Insight-HXMT
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Ma, Xiang, Tao, Lian, Zhang, Shuang-Nan, Zhang, Liang, Bu, Qing-Cui, Ge, Ming-Yu, Chen, Yu-Peng, Qu, Jin-Lu, Zhang, Shu, Lu, Fang-Jun, Song, Li-Ming, Yang, Yi-Jung, Yuan, Feng, Cai, Ce, Cao, Xue-Lei, Chang, Zhi, Chen, Gang, Chen, Li, Chen, Tian-Xiang, Chen, Yi-Bao, Chen, Yong, Cui, Wei, Cui, Wei-Wei, Deng, Jing-Kang, Dong, Yong-Wei, Du, Yuan-Yuan, Fu, Min-Xue, Gao, Guan-Hua, Gao, He, Gao, Min, Gu, Yu-Dong, Guan, Ju, Guo, Cheng-Cheng, Han, Da-Wei, Huang, Yue, Huo, Jia, Ji, Long, Jia, Shu-Mei, Jiang, Lu-Hua, Jiang, Wei-Chun, Jin, Jing, Jin, Yong-Jie, Kong, Ling-Da, Li, Bing, Li, Cheng-Kui, Li, Gang, Li, Mao-Shun, Li, Ti-Pei, Li, Wei, Li, Xian, Li, Xiao-Bo, Li, Xu-Fang, Li, Yan-Guo, Li, Zheng-Wei, Liang, Xiao-Hua, Liao, Jin-Yuan, Liu, Bai-Sheng, Liu, Cong-Zhan, Liu, Guo-Qing, Liu, Hong-Wei, Liu, Xiao-Jing, Liu, Yi-Nong, Lu, Bo, Lu, Xue-Feng, Luo, Qi, Luo, Tao, Meng, Bin, Nang, Yi, Nie, Jian-Yin, Ou, Ge, Sai, Na, Shang, Ren-Cheng, Song, Xin-Ying, Sun, Liang, Tan, Ying, Tuo, Yuo-Li, Wang, Chen, Wang, Guo-Feng, Wang, Juan, Wang, Ling-Jun, Wang, Wen-Shuai, Wang, Yu-Sa, Wen, Xiang-Yang, Wu, Bai-Yang, Wu, Bo-Bing, Wu, Mei, Xiao, Guang-Cheng, Xiao, Shuo, Xie, Fu-Guo, Xiong, Shao-Lin, Xu, He, Xu, Yu-Peng, Yang, Jia-Wei, Yang, Sheng, Yang, Yan-Ji, Yi, Qi-Bin, Yin, Qian-Qing, You, Yuan, Zhang, Ai-Mei, Zhang, Cheng-Mo, Zhang, Fan, Zhang, Hong-Mei, Zhang, Juan, Zhang, Tong, Zhang, Wan-Chang, Zhang, Wei, Zhang, Wen-Zhao, Zhang, Yi, Zhang, Yi-Fei, Zhang, Yong-Jie, Zhang, Yue, Zhang, Zhao, Zhang, Zhi, Zhang, Zi-Liang, Zhao, Hai-Sheng, Zhao, Xiao-Fan, Zheng, Shi-Jie, Zhou, Deng-Ke, Zhou, Jian-Feng, Zhu, Yu-Xuan, Zhu, Yue, and Zhuang, Ren-Lin
- Published
- 2021
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41. Analysis of Bright Source Hardness Ratios in the 4 Yr Insight-HXMT Galactic Plane Scanning Survey Catalog
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Wang, Chen, primary, Liao, Jinyuan, additional, Guan, Ju, additional, Liu, Yuan, additional, Li, Chengkui, additional, Sai, Na, additional, Jin, Jing, additional, and Zhang, Shuangnan, additional
- Published
- 2023
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42. A Proximal Method for Convolutional Dictionary Learning with Convergence Property.
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Guan-Ju Peng
- Published
- 2018
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43. Thermal cycling induced stress–assisted sigma phase formation in super duplex stainless steel
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Li, Jian-Sin, Cheng, Guan-Ju, Yen, Hung-Wei, Wu, Liberty T., Yang, Yo-Lun, Wu, Rudder T., Yang, Jer-Ren, and Wang, Shing-Hoa
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- 2019
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44. Expression and function analyses of the MIKCC-type MADS-box genes in Akebia trifoliata (Lardizabalaceae) flower development.
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Zhong, Shengfu, Tian, Yufeng, Guan, Ju, Zhang, Qiuyi, Chen, Chen, and Luo, Peigao
- Abstract
The evolutionary origin and diversification of flowers in angiosperms remain one of the great unsolved mysteries in plants, while the molecular genetics of floral organ development are the crucial aspect of this question. Here, the expression patterns of all 25 MIKC
C genes in various floral organs of Akebia trifoliata, including the stamens, carpels and sepals of both male and female flowers, were determined by qRT–PCR to preliminary explore the molecular mechanism of flowers development. The phenotypic characteristics of floral organs were also outlined. The results showed that A. trifoliata flowers were monoecious and unisexual. Neither female nor male flowers have petals, but petal-like sepals form the petaloid perianth, especially the curly and enlarged sepals in female flowers that compensate for the loss of petals. Multiple comparison analysis showed that 24 (96%) of the 25 MIKCC genes exhibited significantly different expression levels between the leaves and floral organs. Further cluster analysis of the expression profiles showed that 11 genes were classified into a clade that mainly regulated the sepal development of male flowers, while the remaining 14 genes were classified into another clade that was associated with the development of other floral organs. These results suggested that many A. trifoliata MIKCC genes had a broader expression boundary and weaker specificity than the classic ABC(D)E model and that both petaloidy of the perianth and dimorphism of the sepals could be related to rapid functional diversification and subfunctionalization. [ABSTRACT FROM AUTHOR]- Published
- 2024
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45. Optimizing Quantum Reversible Circuits Using Reinforcement Learning
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Yang, Sheng, primary and Peng, Guan-Ju, additional
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- 2023
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46. Exploring the Profile Contributions in Meyerozyma guilliermondii YB4 under Different NaCl Concentrations Using GC-MS Combined with GC-IMS and an Electronic Nose
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Xiong, Yiling, primary, Guan, Ju, additional, Wu, Baozhu, additional, Wang, Tianyang, additional, Yi, Yuwen, additional, Tang, Wanting, additional, Zhu, Kaixian, additional, Deng, Jing, additional, and Wu, Huachang, additional
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- 2023
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47. Predicting flap failure in head and neck surgery: Data Augmentation and Resampling for Data Imbalance
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Tu, Cheng Hung, primary and Peng, Guan Ju, additional
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- 2023
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48. Warm ductility enhanced by austenite reversion in ultrafine-grained duplex steel
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Cheng, Guan-Ju, Gault, Baptiste, Huang, Cheng-Yao, Huang, Ching-Yuan, and Yen, Hung-Wei
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- 2018
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49. Response of Hydrogen Desorption and Hydrogen Embrittlement to Precipitation of Nanometer-Sized Copper in Tempered Martensitic Low-Carbon Steel
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Lin, Yu-Chen, Chen, Delphic, Chiang, Meng-Hsuan, Cheng, Guan-Ju, Lin, Hsin-Chih, and Yen, Hung-Wei
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- 2019
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50. Biosynthesis and emission of insect-induced methyl salicylate and methyl benzoate from rice.
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Zhao, Nan, Guan, Ju, Ferrer, Jean-Luc, Engle, Nancy, Chern, Mawsheng, Ronald, Pamela, Tschaplinski, Timothy J, and Chen, Feng
- Abstract
Two benzenoid esters, methyl salicylate (MeSA) and methyl benzoate (MeBA), were detected from insect-damaged rice plants. By correlating metabolite production with gene expression analysis, five candidate genes encoding putative carboxyl methyltransferases were identified. Enzymatic assays with Escherichia coli-expressed recombinant proteins demonstrated that only one of the five candidates, OsBSMT1, has salicylic acid (SA) methyltransferase (SAMT) and benzoic acid (BA) methyltransferase (BAMT) activities for producing MeSA and MeBA, respectively. Whereas OsBSMT1 is phylogenetically relatively distant from dicot SAMTs, the three-dimensional structure of OsBSMT1, which was determined using homology-based structural modeling, is highly similar to those of characterized SAMTs. Analyses of OsBSMT1 expression in wild-type rice plants under various stress conditions indicate that the jasmonic acid (JA) signaling pathway plays a critical role in regulating the production and emission of MeSA in rice. Further analysis using transgenic rice plants overexpressing NH1, a key component of the SA signaling pathway in rice, suggests that the SA signaling pathway also plays an important role in governing OsBSMT1 expression and emission of its products, probably through a crosstalk with the JA signaling pathway. The role of the volatile products of OsBSMT1, MeSA and MeBA, in rice defense against insect herbivory is discussed.
- Published
- 2010
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