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| 1 | Characterization of a Lacustrine Shale Reservoir and the Evolution of its Nanopores: A Case Study of the Upper Cretaceous Qingshankou Formation in the Songliao Basin, Northeastern China显示文摘The Songliao Basin is one of the most important petroliferous basins in northern China. With a recent gradual decline in conventional oil production in the basin, the exploration and development of unconventional resources are becoming increasingly urgent. The Qingshankou Formation consists of typical Upper Cretaceous continental strata, and represents a promising and practical replacement resource for shale oil in the Songliao Basin. Previous studies have shown that low-mature to mature Qingshankou shale mainly preserves type Ⅰ and type Ⅱ1 organic matter, with relatively high total organic carbon(TOC) content. It is estimated that there is a great potential to explore for shale oil resources in the Qingshankou Formation in this basin. However, not enough systematic research has been conducted on pore characteristics and their main controlling factors in this lacustrine shale reservoir. In this study, 19 Qingshankou shales from two wells drilled in the study area were tested and analyzed for mineral composition, pore distribution and feature evolution using Xray diffraction(XRD), scanning electron microscopy(SEM), low-pressure nitrogen gas adsorption(N2-GA), and thermal simulation experiments. The XRD results show that clay, quartz, and feldspar are the dominant mineral constituents of Qingshankou shale. The clay minerals are mostly illite/smectite mixed layers with a mean content of 83.5%, followed by illite, chlorite, and kaolinite. There are abundant deposits of clay-rich shale in the Qingshankou Formation in the study area, within which many mineral and organic matter pores were observed using SEM. Mineral pores contribute the most to shale porosity;specifically, clay mineral pores and carbonate pores comprise most of the mineral pores in the shale. Among the three types of organic matter pores, type B is more dominant the other two. Pores with diameters greater than 10 nm supply the main pore volume;most are half-open slits and wedge-shaped pores. The total pore volume had no obvious linear relationship with TOC content, but had some degree of positive correlation with the content of quartz + feldspar and clay minerals respectively. However, it was negatively correlated with carbonate mineral content. The specific surface area of the pores is negatively related to TOC content, average pore diameter, and carbonate mineral content. Moreover, it had a somewhat positive correlation with clay mineral content and no clear linear relationship with the content of quartz + feldspar. With increases in maturity, there was also an increase in the number of carbonate mineral dissolution pores and organic matter pores, average pore diameter, and pore volume, whereas there was a decrease in specific surface area of the pores. Generally, the Qingshankou shale is at a low-mature to mature stage with a TOC content of more than 1.0%, and could be as thick as 250 m in the study area. Pores with diameters of more than 10 nm are well-developed in the shale. This research illustrates that there are favorable conditions for shale oil occurrence and enrichment in the Qingshankou shale in the study area. | ZHANG Xu LIU Chenglin LI Bing WU Linqiang GUI Herong WANG Ziling ZHANG Zhihui LIANG Dexiu | 2020 | Acta Geologica Sinica(English Edition)2020，94，2： | 2 |
| 2 | Universal enzymatic numerical P systems with small number of enzymatic variables显示文摘Numerical P systems(for short, NP systems) are distributed and parallel computing models inspired from the structure of living cells and economics. Enzymatic numerical P systems(for short, ENP systems) are a variant of NP systems, which have been successfully applied in designing and implementing controllers for mobile robots. Since ENP systems were proved to be Turing universal, there has been much work to simplify the universal systems, where the complexity parameters considered are the number of membranes, the degrees of polynomial production functions or the number of variables used in the systems.Yet the number of enzymatic variables, which is essential for ENP systems to reach universality, has not been investigated. Here we consider the problem of searching for the smallest number of enzymatic variables needed for universal ENP systems. We prove that for ENP systems as number acceptors working in the all-parallel or one-parallel mode, one enzymatic variable is sufficient to reach universality; while for the one-parallel ENP systems as number generators, two enzymatic variables are sufficient to reach universality.These results improve the best known results that the numbers of enzymatic variables are 13 and 52 for the all-parallel and one-parallel systems, respectively. | Zhiqiang ZHANG Tingfang WU ANDrei PAUN Linqiang PAN | 2018 | Science China(Information Sciences)2018，61，9： | 2 |
| 3 | Edge computing-Based mobile object tracking in internet of things显示文摘Mobile object tracking,which has broad applications,utilizes a large number of Internet of Things(IoT)devices to identify,record,and share the trajectory information of physical objects.Nonetheless,IoT devices are energy con-strained and not feasible for deploying advanced tracking techniques due to significant computing requirements.To address these issues,in this paper,we develop an edge computing-based multivariate time series(EC-MTS)framework to accurately track mobile objects and exploit edge computing to offload its intensive computation tasks.Specifically,EC-MTS leverages statistical technique(i.e.,vector auto regression(VAR))to conduct arbitrary historical object trajectory data revisit and fit a best-effort trajectory model for accurate mobile object location prediction.Our framework offers the benefit of offloading computation intensive tasks from IoT devices by using edge computing infrastructure.We have validated the efficacy of EC-MTS and our experimental results demon-strate that EC-MTS framework could significantly improve mobile object tracking efficacy in terms of trajectory goodness-of-fit and location prediction accuracy of mobile objects.In addition,we extend our proposed EC-MTS framework to conduct multiple objects tracking in IoT systems. | Yalong Wu Pu Tian Yuwei Cao Linqiang Ge Wei Yu | 2022 | High-Confidence Computing2022，2，1： | 0 |
| 4 | The S100 calcium binding protein A11 promotes liver fibrogenesis by targeting TGF-βsignaling显示文摘Liver fibrosis is a key transformation stage and also a reversible pathological process in various types of chronic liver diseases.However,the pathogenesis of liver fibrosis still remains elusive.Here,we report that the calcium binding protein A11(S100A11)is consistently upregulated in the integrated data from GSE liver fibrosis and tree shrew liver proteomics.S100A11 is also experimentally activated in liver fibrosis in mouse,rat,tree shrew,and human with liver fibrosis.While overexpression of S100A11 in vivo and in vitro exacerbates liver fibrosis,the inhibition of S100A11 improves liver fibrosis.Mechanistically,S100A11 activates hepatic stellate cells(HSCs)and the fibrogenesis process via the regulation of the deacetylation of Smad3 in the TGF-βsignaling pathway.S100A11 physically interacts with SIRT6,a deacetylase of Smad2/3,which may competitively inhibit the interaction between SIRT6 and Smad2/3.The subsequent release and activation of Smad2/3 promote the activation of HSCs and fibrogenesis.Additionally,a significant elevation of S100A11 in serum is observed in clinical patients.Our study uncovers S100A11 as a novel profibrogenic factor in liver fibrosis,which may represent both a potential biomarker and a promising therapy target for treating liver fibrosis and fibrosis-related liver diseases. | Tingting Zhu Linqiang Zhang Chengbin Li Xiaoqiong Tan Jing Liu Huiqin Li Qijing Fan Zhiguo Zhang Mingfeng Zhan Lin Fu Jinbo Luo Jiawei Geng Yingjie Wu Xiaoju Zou Bin Liang | 2022 | Journal of Genetics and Genomics2022，49，4： | 0 |
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