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| 1 | The Influence of Extractable Organic Matter on Pore Development in the Late Triassic Chang 7 Lacustrine Shales, Yanchang Formation, Ordos Basin, China显示文摘To investigate the influence of extractable organic matter(EOM) on pore evolution of lacustrine shales, Soxhlet extraction, using dichloromethane, was performed on a series of Chang 7 shale samples(Ordos Basin, China) with vitrinite reflectance of 0.64% to 1.34%. Low-pressure gas adsorption experiments were conducted on the samples before and after extraction. The pore structure parameters were calculated from the gas adsorption data. The results show complex changes to the pore volumes and surface areas after extraction. The pore development of both the initial and extracted samples is strongly controlled by total organic carbon(TOC) content. Micropores developed mainly in organic matter(OM), while mesopores and macropores predominantly developed in fractions other than OM. The influence of EOM on micropores is stronger than on mesopores and macropores. Organic solvents with a higher boiling point should be used to explore the effect of EOM on pore structure in the future. | HAN Hui LIU Pengwei DING Zhengang SHI Pitong JIA Jianchao ZHANG Wei LIU Yan CHEN Shijia LU Jungang Chen Kang PENG Xudong WANG Zhiyong XIAO Shuqi GAO Yuans | 2018 | Acta Geologica Sinica(English Edition)2018，92，4： | 8 |
| 2 | Implementation of One-Way Quantum Computing with a Hybrid Solid-State Quantum System显示文摘We proposed an efficient scheme for implementing the large-scale one-way Quantum computing(QC)with a novel hybrid solid-state quantum system. This system consists of N Nitrogen-vacancy(N-V) centers coupled to N separate Transmission line resonators(TLRs), which are interconnected by a Current-biased Josephson junction(CBJJ) superconducting phase qubit. We showed the way of preparation of N-qubit linear cluster state with N N-V centers, then we demonstrated the way of extending cluster state by connecting two pieces of linear cluster states into two-dimensional cluster state, last, with our designed new structures, we demonstrated the QC basic operations.It means that our scheme may open up promising possibilities for implementing the practical and scalable one-way quantum computers with the hybrid solid-state quantum system. We discussed the experimental feasibility of our system. | ZHAO Yujing CHEN Xiongwen SHI Zhengang ZHOU Fang XIANG Shaohua SONG Kehui | 2017 | Chinese Journal of Electronics2017，26，1： | 3 |
| 3 | Complementary and alternative medicine is expected to make greater contribution in controlling the prevalence of influenza显示文摘 | Zhengang Tao Yuxiu Yang Wenna Shi | 2013 | BioScience Trends2013，7，： | 1 |
| 4 | Characteristic analysis of rotor dynamics and experiments of active magnetic bearing for HTR - 10GT显示文摘 | Yang Guojun Xu Yang Shi Zhengang Gu Huidong | 2007 | Nuclear Engineering and Design2007，，： | 1 |
| 5 | Characterization of a Novel Esterase Belonging to Family V from Marinobacter flavimaris显示文摘Lipolytic enzymes have attracted enormous attentions because of their ability in ester hydrolysis,ester synthesis,transesterification and other biochemical reactions.Bacteria are important sources of lipolytic enzymes applied in industry.Here,a novel lipolytic enzyme encoded by esterase gene est1347 was identified in Marinobacter flavimaris WLL162,and was purified and characterized.The lipolytic enzyme Est1347 consisted of 312 amino acid residues and a 21-amino-acids N-terminal signal peptide with a predicted molecular weight of 34.2 kDa.It belongs to family V of bacterial lipolytic enzymes based on the amino acid sequence homology analysis.Est1347 is a mesophilic and alkali-resistant enzyme with the highest activity at 45℃and pH 8.5;it is stable at temperatures below 50℃and pH 7.5–11.0.Est1347 showed a preference for middle-length chain substrate p-NPC10 and a wide range of other substrates.The Km,Vmax,Kcat and Kcat/Km values of Est1347 for p-NPC10 in pH 8.5 at 45℃were 0.9411 mmol L^(−1),1285μmol min^(−1)mg^(−1),698.91 s^(−1)and 743.65 s^(−1)(mmol L^(−1))^(−1),respectively.It is also tolerant to the metal ions,organic solvents and detergents.In conclusion,the esterase Est1347 laid a foundation for further study of bacterial lipolytic enzyme family V. | HE Jingjing ZHANG Yunhui WU Leilei WANG Yaru ZHANG He LIU Zhengang SHI Xiaochong | 2024 | Journal of Ocean University of China2024，23，1： | 0 |
| 6 | Deep Learning Models Based on Weakly Supervised Learning and Clustering Visualization for Disease Diagnosis显示文摘The coronavirus disease 2019(COVID-19)has severely disrupted both human life and the health care system.Timely diagnosis and treatment have become increasingly important;however,the distribution and size of lesions vary widely among individuals,making it challenging to accurately diagnose the disease.This study proposed a deep-learning disease diagnosismodel based onweakly supervised learning and clustering visualization(W_CVNet)that fused classification with segmentation.First,the data were preprocessed.An optimizable weakly supervised segmentation preprocessing method(O-WSSPM)was used to remove redundant data and solve the category imbalance problem.Second,a deep-learning fusion method was used for feature extraction and classification recognition.A dual asymmetric complementary bilinear feature extraction method(D-CBM)was used to fully extract complementary features,which solved the problem of insufficient feature extraction by a single deep learning network.Third,an unsupervised learning method based on Fuzzy C-Means(FCM)clustering was used to segment and visualize COVID-19 lesions enabling physicians to accurately assess lesion distribution and disease severity.In this study,5-fold cross-validation methods were used,and the results showed that the network had an average classification accuracy of 85.8%,outperforming six recent advanced classification models.W_CVNet can effectively help physicians with automated aid in diagnosis to determine if the disease is present and,in the case of COVID-19 patients,to further predict the area of the lesion. | Jingyao Liu Qinghe Feng Jiashi Zhao Yu Miao Wei He Weili Shi Zhengang Jiang | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
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