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204 results on '"Guo Cheng-cheng"'

1. Research progress in neuropsychological evaluation of vascular cognitive impairment

Author

HOU Lin⁃lin, WANG Yue⁃feng, GUO Cheng⁃cheng, LI Ying⁃li, and MENG Li⁃na

Subjects
cognition disorders, vascular diseases, neuropsychological tests, review, Neurology. Diseases of the nervous system, RC346-429
Abstract

Vascular cognitive impairment (VCI) is a category of syndromes from vascular mild cognitive impairment (VaMCI) to vascular dementia (VaD). It is manifested as impairment of memory, executive function, language and visuospatial ability, which has a serious impact on society, family and individual quality of life. Neuropsychological evaluation is an important basis for the current diagnosis of VCI, observation of curative effect and evaluation of disease outcome. This article reviews the research progress of VCI neuropsychological evaluation from the perspective of VCI neuropsychological characteristics and commonly used evaluation tools.

Published
2021
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2. Insight-HXMT Measurements of the Diffuse X-ray Background

Author

Huang, Rui, Cui, Wei, Liao, Jin-Yuan, Zhang, Shuo, Wang, Si-Fan, Jin, Jing, Lu, Xue Feng, Guo, Cheng-Cheng, You, Yuan, Li, Gang, and Zhang, Juan

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

We present an X-ray spectrum of the diffuse X-ray background (DXRB) between 1.5 and 120 keV, as measured with the Low-Energy Detector (LE) and the High-Energy Detector (HE) aboard the Insight-HXMT satellite, based on 'blank-sky' observations. LE covers a nominal energy range of 1-15 keV and HE 20-250 keV, but calibration issues and data quality narrowed the energy range for this work. The LE background was directly measured with `blind' detector modules, while the HE background was derived from Earth-occultation data. With the LE data alone, the measured DXRB spectrum can be well described by a power law; fitting the LE and HE data jointly, however, a spectral cut-off must be introduced in the model to account for the measurements above 30 keV. Modelling the combined spectrum with a cut-off power law, the best-fit photon index is 1.40, normalisation $9.57$~$\rm ph~cm^{-2}~s^{-1}~keV^{-1}~sr^{-1} $ (at 1 keV), and cut-off energy 55 keV, after correcting for the effects of the Earth albedo and atmospheric emission (which are significant in the HE band). Based on the best-fit cut-off power law, we derived the spectral energy distribution (SED) of the DXRB. The shape of the SED is in general agreement with the published measurements, but the overall normalization is lower by varying amounts, except for the HEAO-1 result, with which our result is in good agreement., Comment: 9 pages, 14 figures, published in MNRAS

Published
2023
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3. Sub-40nm Nanogratings Self-Organized in PVP-based Polymer Composite Film by Photoexcitation and Two Sequent Splitting under Femtosecond Laser Irradiation

Author

Chen, Li-Yun, Guo, Cheng-Cheng, Pan, Ming-Ming, Lai, Chen, Wang, Yun-Xia, Liao, Guo-Cai, Ma, Zi-Wei, Zhang, Fan-Wei, Suriyaprakash, Jagadeesh, Guo, Lijing, Akinoglu, Eser, Li, Qiang, and Wu, Li-Jun

Subjects
Physics - Optics, Physics - Applied Physics
Abstract

Laser-induced periodic surface structures (LIPSSs) on various materials have been extensively investigated because of their wide applications. The combination of different materials allows for greater freedom in tailoring their functions and achieving responses not possible in a homogeneous material. By utilizing a femtosecond (fs) laser to irradiate the Fe-doped Polyvinyl Pyrrolidone (PVP) composite film, highly regular ultrafine nanogratings (U-nanogratings) with a period as small as 35.0 ($\pm$ 2.0) nm can be self-organized on the surface with extremely high efficiency. The period of the U-nanogratings can be controlled by varying the scanning speed of the laser beam (deposited energy) and the thickness of the composite film. Based on the experimental, theoretical, and simulation results, we propose a two-step formation mechanism: composite film excitation and two sequent grating-splitting. The high photosensitivity and low glass transition temperature of the composite film facilitate the fabrication of the ultrafine nanostructures. The proposed design method for the composite material and fabrication process could not only provide a strategy for obtaining highly regular U-nanogratings, but also offer a platform to explore the interaction physics between ultra-short pulses and matter under extreme conditions.

Published
2022
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4. Timing analysis of the black hole candidate EXO 1846-031 with Insight-HXMT monitoring

Author

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

Subjects
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.

Published
2020
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5. Discovery of oscillations above 200 keV in a black hole X-ray binary with Insight-HXMT

Author

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

Subjects
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

Published
2020
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6. Background Model for the High-Energy Telescope of Insight-HXMT

Author

Liao, Jin-Yuan, Zhang, Shu, Lu, Xue-Feng, Zhang, Juan, Li, Gang, Chang, Zhi, Chen, Yu-Peng, Ge, Ming-Yu, Guo, Cheng-Cheng, Huang, Rui, Jin, Jing, Li, Xiao-Bo, Li, Xu-Fang, Li, Zheng-Wei, Liu, Cong-Zhan, Lu, Fang-Jun, Nie, Jian-Yin, Song, Li-Ming, Wang, Si-Fan, You, Yuan, Zhang, Yi-Fei, Zhao, Hai-Sheng, and Zhang, Shuang-Nan

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract

Accurate background estimation is essential for spectral and temporal analysis in astrophysics. In this work, we construct the in-orbit background model for the High-Energy Telescope (HE) of the Hard X-ray Modulation Telescope (dubbed as Insight-HXMT). Based on the two-year blank sky observations of Insight-HXMT/HE, we first investigate the basic properties of the background and find that both the background spectral shape and intensity have long-term evolution at different geographical sites. The entire earth globe is then divided into small grids, each with a typical area of 5x5 square degrees in geographical coordinate system. For each grid, an empirical function is used to describe the long-term evolution of each channel of the background spectrum; the intensity of the background can be variable and a modification factor is introduced to account for this variability by measuring the contemporary flux of the blind detector. For a given pointing observation, the background model is accomplished by integrating over the grids that are passed by the track of the satellite in each orbit. Such a background model is tested with both the blank sky observations and campaigns for observations of a series of celestial sources. The results show an average systematic error of 1.5% for the background energy spectrum (26-100 keV) under a typical exposure of 8 ks, and <3% for background light curve estimation (30-150 keV). Therefore, the background model introduced in this paper is included in the Insight-HXMT software as a standard part specialized for both spectral and temporal analyses., Comment: 27 pages, 16 figures, accepted by Journal of High Energy Astrophysics

Published
2020

7. Background Model for the Low-Energy Telescope of Insight-HXMT

Author

Liao, Jin-Yuan, Zhang, Shu, Chen, Yong, Zhang, Juan, Jin, Jing, Chang, Zhi, Chen, Yu-Peng, Ge, Ming-Yu, Guo, Cheng-Cheng, Li, Gang, Li, Xiao-Bo, Lu, Fang-Jun, Lu, Xue-Feng, Nie, Jian-Yin, Song, Li-Ming, Yang, Yan-Ji, You, Yuan, Zhao, Hai-Sheng, and Zhang, Shuang-Nan

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract

With more than 150 blank sky observations at high Galactic latitude, we make a systematic study to the background of the Low Energy Telescope (LE) of the Hard X-ray Modulation Telescope (dubbed as Insight-HXMT). Both the on-ground simulation and the in-orbit observation indicate that the background spectrum mainly has two components. One is the particle background that dominates above 7 keV and its spectral shape is consistent in every geographical locations. Another is the diffuse X-ray background that dominates below 7 keV and has a stable spectrum less dependent of the sky region. The particle background spectral shape can be obtained from the blind detector data of all the blank sky observations, and the particle background intensity can be measured by the blind detector at 10-12.5 keV. The diffuse X-ray background in the high Galactic latitude can also be obtained from the blank sky spectra after subtracting the particle background. Based on these characteristics, we develop the background model for both the spectrum and the light curve. The systematic error for the background spectrum is investigated with different exposures (T_exp). For the spectrum with T_exp=1 ks, the average systematic errors in 1-7 keV and 1-10 keV are 4.2% and 3.7%, respectively. We also perform the systematic error analyses of the background light curves with different energy bands and time bins. The results show that the systematic errors for the light curves with different time bins are <8% in 1-10 keV., Comment: 24 pages, 17 figures, accepted by Journal of High Energy Astrophysics

Published
2020

8. The Background Model of the Medium Energy X-ray telescope of Insight-HXMT

Author

Guo, Cheng-Cheng, Liao, Jin-Yuan, Zhang, Shu, Zhang, Juan, Tan, Ying, Song, Li-Ming, Lu, Fang-Jun, Cao, Xue-Lei, Chang, Zhi, Chen, Yu-Peng, Du, Yuan-Yuan, Ge, Ming-Yu, Gu, Yu-Dong, Jiang, Wei-Chun, Li, Gang, Li, Xian, Li, Xiao-Bo, Liu, Shao-Zhen, Liu, Xiao-Jing, Lu, Xue-Feng, Luo, Tao, Meng, Bin, Sun, Liang, Yang, Jia-Wei, Yang, Sheng, You, Yuan, Zhang, Wan-Chang, Zhao, Hai-Sheng, and Zhang, Shuang-Nan

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract

The Medium Energy X-ray Telescope (ME) is one of the main payloads of the Hard X-ray Modulation Telescope (dubbed as Insight-HXMT). The background of Insight-HXMT/ME is mainly caused by the environmental charged particles and the background intensity is modulated remarkably by the geomagnetic field, as well as the geographical location. At the same geographical location, the background spectral shape is stable but the intensity varies with the level of the environmental charged particles. In this paper, we develop a model to estimate the ME background based on the ME database that is established with the two-year blank sky observations of the high Galactic latitude. In this model, the entire geographical area covered by Insight-HXMT is divided into grids of $5^{\circ}\times5^{\circ}$ in geographical coordinate system. For each grid, the background spectral shape can be obtained from the background database and the intensity can be corrected by the contemporary count rate of the blind FOV detectors. Thus the background spectrum can be obtained by accumulating the background of all the grids passed by Insight-HXMT during the effective observational time. The model test with the blank sky observations shows that the systematic error of the background estimation in $8.9-44.0$ keV is $\sim1.3\%$ for a pointing observation with an average exposure $\sim5.5$ ks. We also find that the systematic error is anti-correlated with the exposure, which indicates the systematic error is partly contributed by the statistical error of count rate measured by the blind FOV detectors., Comment: to be published in Journal of High Energy Astrophysics

Published
2020

9. In-orbit Calibration to the Point-Spread Function of Insight-HXMT

Author

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

Subjects
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

Published
2020
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11. Studies on the time response distribution of Insigh}-HXMT/LE

Author

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

Subjects
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.

Published
2019

12. Driver mutations in ADGRL3 are involved in the evolution of ependymoma

Author

Wang, Jing, Xi, Shao-yan, Zhao, Qi, Xia, Yun-fei, Yang, Qun-ying, Cai, Hai-ping, Wang, Fang, Zhao, Yi-ying, Hu, Huan-jing, Yu, Zhi-hui, Chen, Fu-rong, Xu, Peng-Fei, Xu, Ri-zhen, Wang, Jian, Zhang, Ji, Ke, Chao, Zhang, Xiang-heng, Lin, Fu-hua, Guo, Cheng-cheng, Lv, Yan-chun, Li, Cong, Xie, Hai-tao, Cui, Qian, Wu, Hong-mei, Liu, Yan-hui, Li, Zhi, Su, Hong-kai, Zeng, Jing, Han, Fu, Li, Zhao-jie, Sai, Ke, and Chen, Zhong-ping

Published
2022
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15. Confirming the spin parameter of the black hole in Cygnus X-1 using the Insight-HXMT

Author

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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17. Discovery of oscillations above 200 keV in a black hole X-ray binary with Insight-HXMT

Author

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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24. Predicting glioblastoma molecular subtypes and prognosis with a multimodal model integrating convolutional neural network, radiomics, and semantics

Author

Zhong, Sheng, primary, Ren, Jia-Xin, additional, Yu, Ze-Peng, additional, Peng, Yi-Da, additional, Yu, Cheng-Wei, additional, Deng, Davy, additional, Xie, YangYiran, additional, He, Zhen-Qiang, additional, Duan, Hao, additional, Wu, Bo, additional, Li, Hui, additional, Yang, Wen-Zhuo, additional, Bai, Yang, additional, Sai, Ke, additional, Chen, Yin-Sheng, additional, Guo, Cheng-Cheng, additional, Li, De-Pei, additional, Cheng, Ye, additional, Zhang, Xiang-Heng, additional, and Mou, Yong-Gao, additional

Published
2022
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30. CTNI-21. PHASE 2 STUDY OF VAL-083 AND RADIOTHERAPY IN NEWLY DIAGNOSED MGMT-UNMETHYLATED GBM

Author

Chen, Zhong-ping, primary, Guo, Cheng-Cheng, additional, Qun-ying, Yang, additional, Li, Jia-Wei, additional, Wu, Shao-xiong, additional, Bacha, Jeffrey, additional, Johnson, Gregory, additional, Langlands, John, additional, Kwan, Claire, additional, Kanekal, Sarath, additional, Schwartz, Richard, additional, Steino, Anne, additional, and Brown, Dennis, additional

Published
2021
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34. A Parametric Model to Reproduce the Background of the Insight-HXMT/HE Blind Detector

Author

You, Yuan, primary, Liao, Jin-Yuan, additional, Zhang, Shuang-Nan, additional, Zhang, Shu, additional, Lu, Xue-Feng, additional, Zhang, Juan, additional, Li, Gang, additional, Chang, Zhi, additional, Chen, Yu-Peng, additional, Ge, Ming-Yu, additional, Guo, Cheng-Cheng, additional, Huang, Rui, additional, Huang, Yue, additional, Jin, Jing, additional, Li, Xiao-Bo, additional, Li, Xu-Fang, additional, Li, Zheng-Wei, additional, Liu, Cong-Zhan, additional, Lu, Fang-Jun, additional, Nie, Jian-Yin, additional, Song, Li-Ming, additional, Wang, Si-Fan, additional, Zhang, Yi-Fei, additional, and Zhao, Hai-Sheng, additional

Published
2021
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37. Abstract CT172: Phase 2 clinical trial of dianhydrogalactitol (VAL-083) in patients with newly diagnosed MGMT-unmethylated GBM

Author

Chen, Zhong-ping, primary, Guo, Cheng-cheng, additional, Yang, Qun-ying, additional, Li, Jia-wei, additional, Wu, Shao-xiong, additional, Langlands, John, additional, Johnson, Gregory, additional, Kwan, Claire, additional, Kanekal, Sarath, additional, Schwartz, Richard, additional, Bacha, Jeffrey, additional, Steino, Anne, additional, and Brown, Dennis, additional

Published
2021
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39. Timing analysis of the black hole candidate EXO 1846–031 with Insight-HXMT monitoring

Author

Liu, He-Xin, primary, Huang, Yue, additional, Xiao, Guang-Cheng, additional, Bu, Qing-Cui, additional, Qu, Jin-Lu, additional, Zhang, Shu, additional, Zhang, Shuang-Nan, additional, Jia, Shu-Mei, additional, Lu, Fang-Jun, additional, Ma, Xiang, additional, Tao, Lian, additional, Zhang, Wei, additional, Chen, Li, additional, Song, Li-Ming, additional, Li, Ti-Pei, additional, Xu, Yu-Peng, additional, Cao, Xue-Lei, additional, Chen, Yong, additional, Liu, Cong-Zhan, additional, Cai, Ce, additional, Chang, Zhi, additional, Chen, Gang, additional, Chen, Tian-Xiang, additional, Chen, Yi-Bao, additional, Chen, Yu-Peng, additional, Cui, Wei, additional, Cui, Wei-Wei, additional, Deng, Jing-Kang, additional, Dong, Yong-Wei, additional, Du, Yuan-Yuan, additional, Fu, Min-Xue, additional, Gao, Guan-Hua, additional, Gao, He, additional, Gao, Min, additional, Ge, Ming-Yu, additional, Gu, Yu-Dong, additional, Guan, Ju, additional, Guo, Cheng-Cheng, additional, Han, Da-Wei, additional, Huo, Jia, additional, Jiang, Lu-Hua, additional, Jiang, Wei-Chun, additional, Jin, Jing, additional, Jin, Yong-Jie, additional, Kong, Ling-Da, additional, Li, Bing, additional, Li, Cheng-Kui, additional, Li, Gang, additional, Li, Mao-Shun, additional, Li, Wei, additional, Li, Xian, additional, Li, Xiao-Bo, additional, Li, Xu-Fang, additional, Li, Yang-Guo, additional, Li, Zheng-Wei, additional, Liang, Xiao-Hua, additional, Liao, Jing-Yuan, additional, Liu, Bai-Sheng, additional, Liu, Guo-Qing, additional, Liu, Hong-Wei, additional, Liu, Xiao-Jing, additional, Liu, Yi-Nong, additional, Lu, Bo, additional, Lu, Xue-Feng, additional, Luo, Qi, additional, Luo, Tao, additional, Meng, Bin, additional, Nang, Yi, additional, Nie, Jian-Yin, additional, Ou, Ge, additional, Sai, Na, additional, Shang, Ren-Cheng, additional, Song, Xin-Ying, additional, Sun, Liang, additional, Tan, Ying, additional, Tuo, You-Li, additional, Wang, Chen, additional, Wang, Guo-Feng, additional, Wang, Juan, additional, Wang, Ling-Jun, additional, Wang, Weng-Shuai, additional, Wang, Yu-Sa, additional, Wen, Xiang-Yang, additional, Wu, Bai-Yang, additional, Wu, Bo-Bing, additional, Wu, Mei, additional, Xiao, Shuo, additional, Xiong, Shao-Lin, additional, Xu, He, additional, Yang, Jia-Wei, additional, Yang, Sheng, additional, Yang, Yan-Ji, additional, Yang, Yi-Jung, additional, Yi, Qi-Bin, additional, Yin, Qian-Qing, additional, You, Yuan, additional, Zhang, Ai-Mei, additional, Zhang, Cheng-Mo, additional, Zhang, Fan, additional, Zhang, Hong-Mei, additional, Zhang, Juan, additional, Zhang, Tong, additional, Zhang, Wan-Chang, additional, Zhang, Wen-Zhao, additional, Zhang, Yi, additional, Zhang, Yi-Fei, additional, Zhang, Yong-Jie, additional, Zhang, Yuan-Hang, additional, Zhang, Yue, additional, Zhang, Zhao, additional, Zhang, Zhi, additional, Zhang, Zi-Liang, additional, Zhao, Hai-Sheng, additional, Zhao, Xiao-Fan, additional, Zheng, Shi-Jie, additional, Zheng, Yao-Guang, additional, Zhou, Deng-Ke, additional, Zhou, Jian-Feng, additional, Zhu, Yu-Xuan, additional, Zhuang, Ren-Lin, additional, and Zhu, Yue, additional

Published
2021
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41. EPEN-05. CLINICAL AND GENETIC EVOLUTION OF EPENDYMOMA EXPOSED FROM A MULTI-RECURRENCE GIRL CASE

Author

Chen, Zhong-ping, primary, Wang, Jing, additional, Xi, Shao-yan, additional, Zhao, Qi, additional, Xia, Yun-fei, additional, Guo, Cheng-cheng, additional, Yang, Qun-ying, additional, Li, Zhao-jie, additional, Li, Zhi, additional, Han, Fu, additional, Wang, Fang, additional, Sai, Ke, additional, Cai, Hai-ping, additional, Zhang, Xiang-heng, additional, Ke, Chao, additional, and Wang, Jian, additional

Published
2020
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43. CTNI-76. PHASE 2 CLINICAL TRIAL OF VAL-083 IN NEWLY DIAGNOSED MGMT-UNMETHYLATED GBM

Author

Chen, Zhong-ping, primary, Guo, Cheng-Cheng, additional, Yang, Qun-ying, additional, Wu, Shao-xiong, additional, Li, Jia-Wei, additional, Bacha, Jeffrey, additional, Johnson, Greg, additional, Langlands, John, additional, Schwartz, Richard, additional, Kwan, Claire, additional, Kanekal, Sarath, additional, Steino, Anne, additional, Lopez, Lorena, additional, and Brown, Dennis, additional

Published
2020
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44. Prognostic Value of the Modified Systemic Inflammation Score in Patients With Extranodal Natural Killer/T-Cell Lymphoma

Author

Huang, He, primary, Chen, Li Min, additional, Fang, Xiao Jie, additional, Guo, Cheng Cheng, additional, Lin, Xiao Ping, additional, Hong, Huang Ming, additional, Li, Xi, additional, Wang, Zhao, additional, Tian, Ying, additional, Chen, Mei Ting, additional, Yao, Yu Yi, additional, Chen, Zegeng, additional, Li, Xiao Qian, additional, and Pan, Fei, additional

Published
2020
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45. Discovery of oscillations above 200 keV in a black hole X-ray binary with Insight-HXMT

Author

Ma, Xiang, primary, Tao, Lian, additional, Zhang, Shuang-Nan, additional, Zhang, Liang, additional, Bu, Qing-Cui, additional, Ge, Ming-Yu, additional, Chen, Yu-Peng, additional, Qu, Jin-Lu, additional, Zhang, Shu, additional, Lu, Fang-Jun, additional, Song, Li-Ming, additional, Yang, Yi-Jung, additional, Yuan, Feng, additional, Cai, Ce, additional, Cao, Xue-Lei, additional, Chang, Zhi, additional, Chen, Gang, additional, Chen, Li, additional, Chen, Tian-Xiang, additional, Chen, Yi-Bao, additional, Chen, Yong, additional, Cui, Wei, additional, Cui, Wei-Wei, additional, Deng, Jing-Kang, additional, Dong, Yong-Wei, additional, Du, Yuan-Yuan, additional, Fu, Min-Xue, additional, Gao, Guan-Hua, additional, Gao, He, additional, Gao, Min, additional, Gu, Yu-Dong, additional, Guan, Ju, additional, Guo, Cheng-Cheng, additional, Han, Da-Wei, additional, Huang, Yue, additional, Huo, Jia, additional, Ji, Long, additional, Jia, Shu-Mei, additional, Jiang, Lu-Hua, additional, Jiang, Wei-Chun, additional, Jin, Jing, additional, Jin, Yong-Jie, additional, Kong, Ling-Da, additional, Li, Bing, additional, Li, Cheng-Kui, additional, Li, Gang, additional, Li, Mao-Shun, additional, Li, Ti-Pei, additional, Li, Wei, additional, Li, Xian, additional, Li, Xiao-Bo, additional, Li, Xu-Fang, additional, Li, Yan-Guo, additional, Li, Zheng-Wei, additional, Liang, Xiao-Hua, additional, Liao, Jin-Yuan, additional, Liu, Bai-Sheng, additional, Liu, Cong-Zhan, additional, Liu, Guo-Qing, additional, Liu, Hong-Wei, additional, Liu, Xiao-Jing, additional, Liu, Yi-Nong, additional, Lu, Bo, additional, Lu, Xue-Feng, additional, Luo, Qi, additional, Luo, Tao, additional, Meng, Bin, additional, Nang, Yi, additional, Nie, Jian-Yin, additional, Ou, Ge, additional, Sai, Na, additional, Shang, Ren-Cheng, additional, Song, Xin-Ying, additional, Sun, Liang, additional, Tan, Ying, additional, Tuo, Yuo-Li, additional, Wang, Chen, additional, Wang, Guo-Feng, additional, Wang, Juan, additional, Wang, Ling-Jun, additional, Wang, Wen-Shuai, additional, Wang, Yu-Sa, additional, Wen, Xiang-Yang, additional, Wu, Bai-Yang, additional, Wu, Bo-Bing, additional, Wu, Mei, additional, Xiao, Guang-Cheng, additional, Xiao, Shuo, additional, Xie, Fu-Guo, additional, Xiong, Shao-Lin, additional, Xu, He, additional, Xu, Yu-Peng, additional, Yang, Jia-Wei, additional, Yang, Sheng, additional, Yang, Yan-Ji, additional, Yi, Qi-Bin, additional, Yin, Qian-Qing, additional, You, Yuan, additional, Zhang, Ai-Mei, additional, Zhang, Cheng-Mo, additional, Zhang, Fan, additional, Zhang, Hong-Mei, additional, Zhang, Juan, additional, Zhang, Tong, additional, Zhang, Wan-Chang, additional, Zhang, Wei, additional, Zhang, Wen-Zhao, additional, Zhang, Yi, additional, Zhang, Yi-Fei, additional, Zhang, Yong-Jie, additional, Zhang, Yue, additional, Zhang, Zhao, additional, Zhang, Zhi, additional, Zhang, Zi-Liang, additional, Zhao, Hai-Sheng, additional, Zhao, Xiao-Fan, additional, Zheng, Shi-Jie, additional, Zhou, Deng-Ke, additional, Zhou, Jian-Feng, additional, Zhu, Yu-Xuan, additional, Zhu, Yue, additional, and Zhuang, Ren-Lin, additional

Published
2020
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46. Abstract CT273: Phase 2 trial of dianhydrogalactitol (VAL-083) in patients with newly diagnosed MGMT-unmethylated glioblastoma

Author

Chen, Zhong-ping, primary, Guo, Cheng-cheng, additional, Yang, Qun-ying, additional, Lei, Jia-Wei, additional, Wu, Shao-xiong, additional, Johnson, Gregory, additional, Langlands, John, additional, Kwan, Claire, additional, Kanekal, Sarath, additional, Schwartz, Richard, additional, Bacha, Jeffrey A., additional, Steino, Anne, additional, and Brown, Dennis M., additional

Published
2020
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47. Background model for the Low-Energy Telescope of Insight-HXMT

Author

Liao, Jin-Yuan, primary, Zhang, Shu, additional, Chen, Yong, additional, Zhang, Juan, additional, Jin, Jing, additional, Chang, Zhi, additional, Chen, Yu-Peng, additional, Ge, Ming-Yu, additional, Guo, Cheng-Cheng, additional, Li, Gang, additional, Li, Xiao-Bo, additional, Lu, Fang-Jun, additional, Lu, Xue-Feng, additional, Nie, Jian-Yin, additional, Song, Li-Ming, additional, Yang, Yan-Ji, additional, You, Yuan, additional, Zhao, Hai-Sheng, additional, and Zhang, Shuang-Nan, additional

Published
2020
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48. Background model for the high-energy telescope of Insight-HXMT

Author

Liao, Jin-Yuan, primary, Zhang, Shu, additional, Lu, Xue-Feng, additional, Zhang, Juan, additional, Li, Gang, additional, Chang, Zhi, additional, Chen, Yu-Peng, additional, Ge, Ming-Yu, additional, Guo, Cheng-Cheng, additional, Huang, Rui, additional, Jin, Jing, additional, Li, Xiao-Bo, additional, Li, Xu-Fang, additional, Li, Zheng-Wei, additional, Liu, Cong-Zhan, additional, Lu, Fang-Jun, additional, Nie, Jian-Yin, additional, Song, Li-Ming, additional, Wang, Si-Fan, additional, You, Yuan, additional, Zhang, Yi-Fei, additional, Zhao, Hai-Sheng, additional, and Zhang, Shuang-Nan, additional

Published
2020
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49. The background model of the medium energy X-ray telescope of Insight-HXMT

Author

Guo, Cheng-Cheng, primary, Liao, Jin-Yuan, additional, Zhang, Shu, additional, Zhang, Juan, additional, Tan, Ying, additional, Song, Li-Ming, additional, Lu, Fang-Jun, additional, Cao, Xue-Lei, additional, Chang, Zhi, additional, Chen, Yu-Peng, additional, Du, Yuan-Yuan, additional, Ge, Ming-Yu, additional, Gu, Yu-Dong, additional, Jiang, Wei-Chun, additional, Jin, Jing, additional, Li, Gang, additional, Li, Xian, additional, Li, Xiao-Bo, additional, Liu, Shao-Zhen, additional, Liu, Xiao-Jing, additional, Lu, Xue-Feng, additional, Luo, Tao, additional, Meng, Bin, additional, Sun, Liang, additional, Yang, Jia-Wei, additional, Yang, Sheng, additional, You, Yuan, additional, Zhang, Wan-Chang, additional, Zhao, Hai-Sheng, additional, and Zhang, Shuang-Nan, additional

Published
2020
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