264 research outputs found

    Key Technologies for Green, Low-Carbon and Energy-Saving Buildings in Financial Street Chang 'an Center

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    Through the innovation and application of eight key technologies for green, low-carbon and energy-saving buildings, Financial Street Chang 'an Center has become the first project in Beijing to obtain the dual certification of three-star green building and LEED gold building, which has played a good demonstration role in the construction of green buildings of urban complex type

    Data for: The Regolith Properties of the Chang’e-5 Landing Region and the Ground Drilling Experiments Using Lunar Regolith Simulants

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    This dataset includes the following data of the CE-5 landing region: 1) CE-1 IIM oxide abundance data (Wu et al., 2012) 2) Geologic boundaries (Zhao et al., 2017; Qian et al., 2018) 3) Regolith thickness map produced by Fa et al. (2010) and THE CURRENT STUDY 4) K-Means classified lunar regolith data based on OMAT values (THE CURRENT STUDY) Reference [1] Fa, W., Jin, Y., 2010. A primary analysis of microwave brightness temperature of lunar surface from Chang-E 1 multi-channel radiometer observation and inversion of regolith layer thickness. Icarus, 207, 605-615. http://doi.org/10.1016/j.icarus.2009.11.034. [2] Qian, Y. Q., Xiao, L., Zhao, S. Y., Zhao, J. N., Huang, J., Flahaut, J., Martinot, M., Head, J. W., Hiesinger, H., Wang, G. X., 2018. Geology and Scientific Significance of the Rümker Region in Northern Oceanus Procellarum: China's Chang’E-5 Landing Region. J. Geophys. Res. -Planets, 123(6), 1407-1430. https://doi.org/10.1029/2018JE005595. [3] Wu, Y., 2012. Major elements and Mg# of the Moon: Results from Chang’E-1 Interference Imaging Spectrometer (IIM) data. Geochim. Cosmochim. Acta, 93, 214-234. http://doi.org/10.1016/j.gca.2012.07.011. [4] Zhao, J., Xiao, L., Qiao, L., Glotch Timothy, D., Huang, Q., 2017. The Mons Rümker volcanic complex of the Moon: A candidate landing site for the Chang’E-5 mission. J. Geophys. Res. – Planets, 122(7), 1419-1442. https://doi.org/10.1002/2016JE005247

    Data for: The Regolith Properties of the Chang’e-5 Landing Region and the Ground Drilling Experiments Using Lunar Regolith Simulants

    No full text
    This dataset includes the following data of the CE-5 landing region: 1) CE-1 IIM oxide abundance data (Wu et al., 2012) 2) Geologic boundaries (Zhao et al., 2017; Qian et al., 2018) 3) Regolith thickness map produced by Fa et al. (2010) and THE CURRENT STUDY 4) K-Means classified lunar regolith data based on OMAT values (THE CURRENT STUDY) Reference [1] Fa, W., Jin, Y., 2010. A primary analysis of microwave brightness temperature of lunar surface from Chang-E 1 multi-channel radiometer observation and inversion of regolith layer thickness. Icarus, 207, 605-615. http://doi.org/10.1016/j.icarus.2009.11.034. [2] Qian, Y. Q., Xiao, L., Zhao, S. Y., Zhao, J. N., Huang, J., Flahaut, J., Martinot, M., Head, J. W., Hiesinger, H., Wang, G. X., 2018. Geology and Scientific Significance of the Rümker Region in Northern Oceanus Procellarum: China's Chang’E-5 Landing Region. J. Geophys. Res. -Planets, 123(6), 1407-1430. https://doi.org/10.1029/2018JE005595. [3] Wu, Y., 2012. Major elements and Mg# of the Moon: Results from Chang’E-1 Interference Imaging Spectrometer (IIM) data. Geochim. Cosmochim. Acta, 93, 214-234. http://doi.org/10.1016/j.gca.2012.07.011. [4] Zhao, J., Xiao, L., Qiao, L., Glotch Timothy, D., Huang, Q., 2017. The Mons Rümker volcanic complex of the Moon: A candidate landing site for the Chang’E-5 mission. J. Geophys. Res. – Planets, 122(7), 1419-1442. https://doi.org/10.1002/2016JE005247

    A review of microgrid research

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    Do Placement Characteristics and Advertising Position Matter in Magazine Product Placement?

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    Due to ineffectiveness of traditional advertising, the notion of "product placement" quickly reinforced to be a new forming trend in recent years. Companies incorporate their products into movie films or television media. Those placements attempt to generate positive attitudes of target audiences for the brand. Unfortunately, this strategic intent does not always work. Using the magazine as the medium, this research investigates how to optimize the effects of placement characteristics and advertising position. Product placement is presented in a fictitious article about the introduction to new Canon digital camera. An experiment of 2 (placement characteristics: prominent placement vs. subtle placement) \uc3 4 (advertising position\uef\ubcbefore the article vs. next to the article vs. after the article vs. no advertisement) factorial design is conducted. Eight different scenarios are established through fictitious a product placement, and eight experimental conditions are developed. The advertising effectiveness is measured by purchase intention and attitudes toward the brand. The results suggest that a subtle placement is more effective than a prominent placement. More importantly, an interaction of placement characteristics and advertising position is observed. The results indicate that product placement is most likely to backfire when a brand advertisement is shown next to the placement article. According to these findings, marketers should consider the \ue2placement characteristics\ue2 of their brands before choosing an appropriate advertisement position appearing in the product placement

    A summary of wind power prediction methods

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    Research on the Development of Voice Assistants in the Era of Artificial Intelligence

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    Voice assistants have gradually occupied an important position in the products of many electronics companies. Artificial Intelligence voice assistants are able to interpret human speech and respond. Users can ask their assistant questions and manage other essential tasks such as email calendars through verbal commands. This paper analyzes the artificial intelligence voice assistant through the method of comparative analysis. The author studies the development situation of intelligent voice assistants, and compares the differences between Chinese and foreign voice assistants, and finally discusses the relationship between voice intelligent assistants and people’s lives. The author found that users in different countries have different functional preferences for using voice assistants, but they can help people’s work and life to a great extent. In other words, voice assistants play an important role in contemporary society. Therefore, people need to better understand the relationship between humans and machin

    The Lithological Features of Sublacustrine Fans and Significance to Hydrocarbon Exploration: A Case Study of the Chang 7 Interval of the Yanchang Formation, Southeastern Ordos Basin, North China

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    The Chang 7 interval of the Upper Triassic Yanchang Formation in the Ordos Basin represents a typical deep lacustrine depositional sequence. On the basis of field outcrops, cores, well logs, light/heavy mineral provenance analysis, and petrological studies, we evaluated the characteristics of deep-water gravity flow deposition of the Chang 7 interval and constructed a depositional model. The sediments mainly came from the northeast of the study area, and multiple sublacustrine fans were deposited in the center of the basin. Different from the deep-marine fan, the sublacustrine fan in the study area develops under the background of gentle slope without any erosional canyon between the fan and delta front. Gravity flow deposits in the study area can categorised into three groups: sand debris flow deposits, turbidity current deposits, and deep-water mudstone deposits. The main channel and branch channel are mainly developed with thick massive sandy debris sandstone, while the channel lateral margin and branch channel lateral margin are mainly developed with middle massive sandy debris sandstones and turbidite sandstones, which from bottom to top, the thickness of sand layer becomes thinner and the grain size becomes smaller. Thin mudstone is developed between channels; the lobe fringe includes sheet-like turbidite sandstones and deep lake mudstones. The widely distribute, good quality source rocks (TOC=2%–6%) developed in deep lacustrine have attained the peak stage of oil generation (Ro=0.9%–1.2%). The superimposition of the sublacustrine fan sand bodies and the wide distribution of good quality source rocks favor the formation of large lithologic reservoirs characterized by source–reservoir integration, self-generation and self-storage, and near-source accumulation

    Experimental investigation of the pore structure of triassic terrestrial shale in the Yanchang Formation, Ordos Basin, China

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    The Yanchang Formation was deposited in a terrestrial environment in the late Triassic period. It consists of organic-rich shales that possess hydrocarbon resources for both conventional and tight gas sand plays in the Ordos Basin. The identified source rocks have become horizontal drilling targets as an active shale gas play. Although limited, the current study suggests that the physics of its porous media is far more complicated than that of marine shales in either North America or China, which calls for detailed characterization. In this study, a series of laboratory experiments were conducted on 20 samples from Chang 7 and Chang 9 members of the Yanchang Formation to characterize the pore structure of the terrestrial shale, including the mercury injection capillary porosimetry (MICP) test, low-pressure N-2 adsorption test, X-ray diffraction mineralogy (XRD) test, and geochemical analysis. Moreover, petrographical analysis was performed to obtain field-emission scanning electron microscopy (FE-SEM) images in order to identify different types of pores, as well as their correlations with mineral constituents and organic matter. The mineralogical analysis (XRD) reveals that the major constituting minerals of the samples are clay minerals, followed by quartz and feldspar. In addition, the percentages of carbonate minerals are found to be relatively low, which is distinctively different from the mineral makeup of common marine shales. Pyrite exists in all samples, varying from 1% to 12%, while the total organic carbon (TOC) is in the range of 3.5-7.14% and the vitrinite reflectance (Ro) from 0.88 to 1.39%. The low-pressure N-2 adsorption analysis shows that the total pore volume (TPV) ranges from 0.180-5.236 x 10(-3) cm(3)/g, and the specific surface area (SSA) changes from 0.209 to 13.601 m(2)/g. The pore size distribution (PSD) attained from the low-pressure N-2 adsorption test reveals multimodal peaks between the 1.8 nm and 3-8 nm intervals, suggesting that most of the pores are mesopores. From the FE-SEM observations, it is discovered that the organic matter or pyrite nodules occupy the macropore space (3-10 mu m) formed at current burial depths. Organic pores are found to have a pore size ranging from 30 to 50 nm. Moreover, inter-crystalline pores exist within pyrite nodules with a pore size from 0 to 50 nm, These observations are in good agreement with the bimodal pore size distribution measured from the low-pressure N-2 adsorption analysis. Furthermore, the formation of macropores is likely controlled by the interplay between multiple factors, such as clay content, silicate minerals, carbonate minerals, and organic matter. In conclusion, the findings of this study provide a better understanding of pore structures in terrestrial shales, and help to evaluate the storage capacity and transport capability of terrestrial shales, in general. (C) 2017 Elsevier B.V. All rights reserved.National Natural Science Foundation of China [U1663208, 51520105005]; National Science and Technology Major Project of China [2016ZX05037-003, 2016ZX05034001-007, 2017ZX05009005]SCI(E)ARTICLE436-4504

    An Exploration of Artificial Intelligence-Driven De Novo Peptide Sequencing:Towards Future Proteomics and Medicine

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    Identifying a peptide sequence from a given mass spectrum is an essential problem for both proteomics and medicine. Mass spectrometry is a widely used technique for the identification of peptide sequences. Currently, the spectra(MS2) data generated by mass spectrometers are analyzed mainly by searching-based approaches and de novo peptide sequencing. Compared to searching-based approaches, de novo peptide sequencing has the advantage of determining peptide sequences without the aid of sequence databases or libraries, and therefore can be used in a variety of fields where searchingbased approaches fail to work. In addition, the rapidly evolving artificial intelligence(AI) technology can support de novo peptide sequencing with a variety of tools at its disposal, making it a more and more powerful approach to the identification of peptide sequences.The aim of this thesis was to develop a novel AI-based de novo peptide sequencing approach and explore its application in future proteomics and medicine. The specific goals were structured into the: 1) Implement an approach based on deep learning and tree search 2) Compare the searching-based and de novo sequencing strategies 3) Apply the approach to the analysis of HLA/MHCIn paper I, we implemented PepGo, a de novo peptide sequencing approach based on Transformer and Monte Carlo Tree Search(MCTS). PepGo can predict a peptide sequence from its mass spectrum without a database or library and even without training. Therefore it obtains maximum flexibility and adaptability. Our experiments show that PepGo can achieve good performance under certain circumstances and can be used as a supplement to other state-of-the-art approaches.In Paper II, we compared the searching-based strategy(represented by MaxQuant and FragPipe) and the de novo sequencing strategy(represented by PointNovo and PepGo) and evaluated their performance with spectra of synthetic peptides. The results showed that the de novo sequencing strategy can predict quite a lot of novel peptides like HLA Class I and Class II peptides that cannot be identified by the searching-based strategy, showing great potential applications of de novo sequencing in proteomics and future medicine.Papers III, IV and V are our previous works based on genome sequencing. In paper III, we sequenced and de novo assembled the genomes of 150 individuals (50 trios), and constructed the haplotypes of the whole MHC region. Following this, in paper IV, we used the de novo assembled results of the 50 trios to reconstruct MHC haplotypes without relying on a reference genome and reported 100 full MHC haplotypes. Lastly, in paper V, we tested two widely used HLA typing methods using high-quality whole genome sequencing data. These works expanded our knowledge of HLA/MHC from the genome perspective, and explored methods other than mass spectrometry in studying HLA/MHC region.In conclusion, AI-based de novo peptide sequencing is a useful approach for proteomics. Particularly, it has the ability to predict novel peptides that can not be identified by searching-based approaches, which is particularly important for immunotherapy. In combination with other technologies like DNA sequencing, AI-based de novo peptide sequencing will play more important roles in future medicine.<br/
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