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| 1 | Ultraselective carbon molecular sieve membrane for hydrogen purification显示文摘Hydrogen is a green clean fuel and chemical feedstock. Its separation and purification from hydrogencontaining mixtures is the key step in the production of hydrogen with high purity(>99.99%). In this work, carbon molecular sieve(CMS) membranes with ultrahigh permselectivity for hydrogen purification were fabricated by high-temperature(700–900 ℃) pyrolysis of polymeric precursor of phenolphthaleinbased cardo poly(arylene ether ketone)(PEK-C). The evolution of the microstructural texture and ultramicroporous structure and gas separation performance of the CMS membrane were characterized via TG-MS, FT-IR, XRD, TEM, CO2 sorption analysis and gas permeation measurements. CMS membranes prepared at 700 ℃ exhibited amorphous turbostratic carbon structures and high H2 permeability of 5260 Barrer with H2/CH4, H2/N2 and H2/CO selectivities of 311, 142, 75, respectively. When carbonized at900 ℃, the CMS membrane with ultrahigh H2/CH4 selectivity of 1859 was derived owing to the formation of the dense and ordered carbon structure. CMS membranes with ultrahigh permselectivity exhibit an attractive application prospect in hydrogen purification. | Ruisong Xu Liu He Lin Li Mengjie Hou Yongzhao Wang Bingsen Zhang Changhai Liang Tonghua Wang | 2020 | Journal of Energy Chemistry2020，29，11： | 8 |
| 2 | Heat rate variability and dyssomnia and their correlations to neurological defects in cerebral infarction patients complicated by insomnia A concurrent non-randomized case-control study显示文摘BACKGROUND: Heart rate variability refers to the beat-to-beat alteration in heart rate. It is usually a slight periodic variation of R-R intervals. Much information of autonomic nerve system balance can be obtained by measuring the heart rate variability of patients. It remains to be shown whether heart rate variability can be used as an index for determining the severity of insomnia and cerebral infarction. OBJECTIVE: This study aimed to analyze the correlation for each frequency spectrum parameter of heart rate variability with an insomnia index, as well as the degree of neurological defects in patients with simple cerebral infarction and cerebral infarction complicated by insomnia. The goal was to verify the feasibility of frequency spectrum parameters for heart rate variability as a marker for insomnia and cerebral infarction. DESIGN: A case-control observation. SETTING: Department of Neurology, First Hospital Affiliated to China Medical University. PARTICIPANTS: Sixty inpatients, and/or outpatients, with cerebral infarction were admitted to the 202 Hospital of Chinese PLA between December 2005 and October 2006, confirmed by CT, and recruited to the study. According to the insomnia condition (insomnia is defined by a Pittsburgh Sleep Quality Index score > 7), the patients were assigned to a simple cerebral infarction group and a cerebral infarction complicated by insomnia group, with 30 subjects in each group. Thirty additional subjects, who concurrently received ex- aminations and were confirmed to not suffer from cerebral infarction and insomnia, were recruited into the control group. Written informed consent was obtained from each subject for laboratory specimens. The pro- tocol was approved by the Hospital's Ethics Committee. METHODS: Following admission, each subject's neurological impairment was assessed with the National Institutes of Health Stroke Scale and Pittsburgh Sleep Quality Index. Heart rate variability of each subject was measured with an autonomic nerve analyzer (Weijin Science and Technology Co., Ltd., Taiwan). Each frequency spectrum parameter of heart rate variability was obtained, including very low frequency, low fre- quency, high frequency, total power, R-R interval, and its mean square. In addition, percentage of low fre- quency, high frequency, and ratio of low frequency to high frequency were calculated. For each heart rate frequency spectrum parameter, the difference between groups was analyzed. Moreover, correlations of each frequency spectrum parameter with insomnia and disease condition were analyzed. Data from each index, which were not normally distributed, were processed by logarithmic transformation. The t-test was used for the comparison of intergroup differences. Single-factor linear regression analysis and t-test were used for the analysis of factor-factor correlation and coefficient of correlation, respectively. MAIN OUTCOME MEASURES: ① Differences of scores in the National Institutes of Health Stroke Scale and Pittsburgh Sleep Quality Index between the simple cerebral infarction group and the cerebral in- farction complicated by insomnia group. ② Differences of heart rate variability parameters between the simple cerebral infarction group and the control group. ③ Correlation of heart rate variability parameters, the Pittsburgh Sleep Quality Index score, and the neurological impairment score. RESULTS: Sixty patients and thirty healthy controls were included in the final analysis. ① The scores of the Pittsburgh Sleep Quality Index and the neurological impairment were significantly higher in the cerebral infarction complicated by insomnia group compared to the simple cerebral infarction group (P < 0.05-0.01). ② R-R interval was significantly longer in the simple cerebral infarction group than in the control group, while R-R interval variance and high-frequency band were significantly lower in the simple cerebral infarc- tion group compared to the control group (P < 0.05). ③ For cerebral infarction patients with insomnia, the Pittsburgh Sleep Quality Index score was significantly positively correlated with neurological impairment (r = 0.54, P < 0.01). The low-frequency band, very low-frequency band, high-frequency band, R-R interval variance, total power, R-R interval, and the percentage of high-frequency were significantly negativelycorrelated with the National Institutes of Health Stroke Scale score (r =-0.45 to -0.90, P < 0.05-0.01) and with the Pittsburgh Sleep Quality Index scores (r = -0.56 to -0.36, P < 0.05-0.01). CONCLUSION: Each heart rate variability parameter can be used as an index for assessing dyssomnia and neurologic impairment (r =-0.56 to -0.36, P < 0.05-0.01). | Jianping Chu Xueli Shen Jun Fan Changhai Chen Shuyang Lin | 2008 | Neural Regeneration Research2008，3，1： | 4 |
| 3 | Multi-dimensional overall regulatory modes and threshold values for water cycle of the Haihe River Basin显示文摘In this study, a multi-dimensional critical regulatory criteria and decision-making mechanism based on the scientific cognition of multi-dimensional attributes and characteristics of the water cycle was proposed. This system was functioned by deeply discriminating the nature-society binary characteristics of the five-dimensional characteristics of the water cycle system of the Haihe River Basin (water resources, economy, society, ecology, and environment) under the influence of high-intensity human activities and hydrological changes and by analyzing the organic interactive relationships between the five dimensions and their overall effect on the water cycle. A GDP calculation model was constructed in this study by adjusting the water environment for water resources, after which five-dimensional normalization objective functions were established for multi-objective analysis to carry out trade-off analysis of multi-dimensional regulatory indexes. In addition, synergetic theory, entropy theory and dissipation structure theory were introduced to construct an evaluation model for multi-dimensional regulatory schemes. A water cycle multi-dimensional critical overall regulatory model system was also established. This system consisted of a multi-objective macroeconomic model (DAMOS), water resource allocation model based on rules (ROWAS), evaluation model for WEDP (EMW) and multi-dimensional regulatory scheme evaluation model (SEAMUR) as the main body. To address the national demands faced by the Haihe River Basin as a result of combinatorial schemes for different hydrological series and water amounts diverted by the south-to-north water diversion project, this study adopted a hierarchy progression method to set up the technologies, investigated multi-dimensional overall regulatory methods, proposed an overall regulation threshold value for the water cycle of the Haihe River Basin, and recommended corresponding five-dimensional regulatory schemes. | GAN Hong WANG Lin CAO YinBai YOU JinJun GAN ZhiGuo QIN ChangHai HE Shan XU Kai | 2013 | Chinese Science Bulletin2013，58，27： | 4 |
| 4 | Preliminary experimental results by the prototype of Sanya Incoherent Scatter Radar显示文摘In the past decades,the Incoherent Scatter Radar(ISR)has been demonstrated to be one of the most powerful instruments for ionosphere monitoring.The Institute of Geology and Geophysics at the Chinese Academy of Sciences was founded to build a state-ofthe-art phased-array ISR at Sanya(18.3°N,109.6°E),a low-latitude station on Hainan Island,named the Sanya ISR(SYISR).As a first step,a prototype radar system consisting of eight subarrays(SYISR-8)was built to reduce the technical risk of producing the entire large array.In this work,we have summarized the preliminary experimental results based on the SYISR-8.The amplitude and phase among 256 channels were first calibrated through an embedded internal monitoring network.The mean oscillation of the amplitude and phase after calibration were about 1 dB and 5°,respectively,which met the basic requirements.The beam directivity was confirmed by crossing screen of the International Space Station.The SYISR-8 was further used to detect the tropospheric wind profile and meteors.The derived winds were evaluated by comparison with independent radiosonde and balloon-based GPS measurements.The SYISR-8 was able to observe several typical meteor echoes,such as the meteor head echo,range-spread trail echo,and specular trail echo.These results confirmed the validity and reliability of the SYISR-8 system,thereby reducing the technical risk of producing the entire large array of the SYISR to some extent. | XinAn Yue WeiXing Wan Han Xiao LingQi Zeng ChangHai Ke BaiQi Ning Feng Ding BiQiang Zhao Lin Jin Chen Li MingYuan Li JunYi Wang HongLian Hao Ning Zhang | 2020 | Earth and Planetary Physics2020，4，6： | 3 |
| 5 | Surgical treatment of hepato-pancreato-biliary disease in China:the Tongji experience显示文摘Hepato-pancreato-biliary(HPB) tumors are common in China. However, these tumors are often diagnosed at intermediate/advanced stages because of the lack of a systemic surveillance program in China. This situation creates many technical challenges for surgeons and increases the incidence of postoperative complications. Therefore, Dr. Xiao-Ping Chen has made many important technical improvements, such as Chen's hepatic portal occlusion method, the anterior approach for liver resection of large HCC tumors, the modified technique of Belghiti's liver-hanging maneuver, inserting biliary-enteric anastomosis technique, and invaginated pancreaticojujunostomy with transpancreatic U-sutures. These techniques are simple, practical, and easy to learn. Owing to these advantages, complicated surgical procedures can be simplified, and the curative effects are greatly improved. These improved techniques have been widely applied in China and will benefit many additional patients. In this review, we introduce our experience of surgically treating intermediate/advanced hepatocellular carcinoma(HCC), hilar cholangiocarcinoma(HC), and pancreatic carcinoma, mainly focusing on technical innovations established by Dr. Chen in HPB surgery. | binhao zhang wei dong hongping luo xuanru zhu lin chen changhai li wei zhang shuai xiang wanguang zhang zhiyong huang xiao-ping chen | 2016 | Science China(Life Sciences)2016，59，10： | 2 |
| 6 | Physiological energetics of Styela clara in relation to body size and temperature显示文摘 | Jiang Aili Lin Jian Wang Changhai | 2008 | Comparative Biochemistry and Physiology2008，149，2： | 1 |
| 7 | Synthesis of Subnanometer-Sized Gold Clusters by a Simple Milling- Mediated Solid Reduction Method显示文摘 | Qinggang Liu Xinkui Wang Yujing Ren Xiaofeng Yang Zhilian Wu Xiaoyan Liu Lin Li Shu Miao Yang Su Yanqin Li Changhai Liang Yanqiang Huang | 2018 | Chinese Journal of Chemistry2018，36，4： | 1 |
| 8 | Deep Neural Semantic Network for Keywords Extraction on Short Text显示文摘Keyword extraction is a branch of natural language processing,which plays an important role in many tasks,such as long text classification,automatic summary,machine translation,dialogue system,etc.All of them need to use high-quality keywords as a starting point.In this paper,we propose a deep learning network called deep neural semantic network(DNSN)to solve the problem of short text keyword extraction.It can map short text and words to the same semantic space,get the semantic vector of them at the same time,and then compute the similarity between short text and words to extract top-ranked words as keywords.The Bidirectional Encoder Representations from Transformers was first used to obtain the initial semantic feature vectors of short text and words,and then feed the initial semantic feature vectors to the residual network so as to obtain the final semantic vectors of short text and words at the same vector space.Finally,the keywords were extracted by calculating the similarity between short text and words.Compared with existed baseline models including Frequency,Term Frequency Inverse Document Frequency(TF-IDF)and Text-Rank,the model proposed is superior to the baseline models in Precision,Recall,and F-score on the same batch of test dataset.In addition,the precision,recall,and F-score are 6.79%,5.67%,and 11.08%higher than the baseline model in the best case,respectively. | Chundong She Huanying You Changhai Lin Shaohua Liu Boxiang Liang Juan Jia Xinglei Zhang Yanming Qi | 2020 | 国际计算机前沿大会会议论文集2020，，2： | 0 |
| 9 | Effect of trigger system on experimental dispersion characteristics of active surface wave testing显示文摘A trigger system is typically employed in active seismic testing to trigger and synchronize multichannel surface wave data acquisition.The effect of the trigger system on the dispersion image of surface waves is empirically known to be negligible,however,theoretical explanation regarding the effect of the trigger system is insufficient.This study systematically examines the theory for surface wave dispersion analysis and proves that the effect of the trigger system on a dispersion image is negligible via a solid theoretical explanation.Subsequently,based on the new theoretical explanation,an alternative method that uses only the relative phase difference between sensors to extract dispersion characteristics with better conceptual clarity is proposed.Two active surface wave testing cases are considered to validate the theory and method.The results indicate that(1)an accurate trigger system is not necessary for surface wave data acquisition,and(2)it is unnecessary to assume that the impact point is the generation point of the surface waves for the experimental dispersion analysis. | Lin Shibin Jeramy C.Ashlock Zhu Liming Qin Zexiang Li Bo Zhu Xingji Zhai Changhai | 2024 | Earthquake Engineering and Engineering Vibration2024，23，2： | 0 |
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