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  • 1
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    New constraints on recent large earthquakes along the Xidatan-Dongdatan segment of the Kunlun fault, western China (2006)
    In:  Bulletin of the Seismological Society of America, Bonn, Inst. f. Theoret. Geodäsie, vol. 96, no. 1, pp. 48-58, pp. L24306, (ISBN: 0534351875, 2nd edition)
    Details
    Publication Date: 2006
    Keywords: Seismology ; Earthquake ; Structural geology ; paleo ; Seismicity ; Strike-slip ; terraces ; remote ; sensing ; BSSA
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    BIBLIOGRAPHY SEISMOLOGY
  • 2
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    Sustainability, Vol. 8, Pages 654: Determination of the Optimal Tilt Angle of Solar Collectors for Different Climates of China (2016)
    MDPI Publishing
    Details
    Publication Date: 2016-07-12
    Description: The tilt angle with the horizon (with respect to the ground) of the solar energy system affects the amount of solar radiation received. This paper suggests a simple and universal method to obtain the optimum tilt angles by estimating the monthly mean daily global solar radiation on tilted surfaces facing directly towards the equator, which is based on monthly average daily global solar radiation data produced from Typical Meteorological Year (TMY) data. The monthly, seasonal, and yearly optimum tilt angles for photovoltaic panels are calculated at six stations of different climatic types (Tropical Zone (TZ), Subtropical Zone (SZ), Warm Temperate Zone (WTZ), Mid Temperate Zone (MTZ), Cold Temperate Zone (CTZ) and Tibetan Plateau Zone (TPZ)). The results indicate that changing the monthly, seasonal, and yearly optimum tilt angles causes a significant yearly gain in the solar radiation for the region. In addition, general correlations are generated to estimate the optimum tilt angle of solar collectors at six typical climatic stations of China. The performances of the proposed models are compared using statistical error tests such as the mean absolute bias error (MABE), the root mean square error (RMSE) and the correlation coefficients (R).
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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  • 3
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    Energies, Vol. 12, Pages 1215: A Nonlinear Analytical Algorithm for Predicting the Probabilistic Mass Flow of a Radial District Heating Network (2019)
    MDPI
    In: Energies
    Details
    Publication Date: 2019
    Description: This paper develops a nonlinear analytical algorithm for predicting the probabilistic mass flow of radial district heating networks based on the principle of heat transfer and basic pipe network theory. The use of a nonlinear mass flow model provides more accurate probabilistic operation information for district heating networks with stochastic heat demands than existing probabilistic power flow analytical algorithms based on a linear mass flow model. Moreover, the computation is efficient because our approach does not require repeated nonlinear mass flow calculations. Test results on a 23-node district heating network case indicate that the proposed approach provides an accurate and efficient estimation of probabilistic operation conditions.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI
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  • 4
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    Downregulation of TLX induces TET3 expression and inhibits glioblastoma stem cell self-renewal and tumorigenesis (2016)
    Springer Nature
    Details
    Publication Date: 2016-02-05
    Description: Article TLX is a nuclear receptor essential for neural stem cell self-renewal and recently involved in glioblastoma development. In this study, the authors show that inhibition of TLX expression, achieved using a dendrimer nanovector-delivered siRNAs or viral vector-delivered shRNAs, reduces glioblastoma stem cells self renewal and in vivo tumour growth through activation of TET3. Nature Communications doi: 10.1038/ncomms10637 Authors: Qi Cui, Su Yang, Peng Ye, E. Tian, Guoqiang Sun, Jiehua Zhou, Guihua Sun, Xiaoxuan Liu, Chao Chen, Kiyohito Murai, Chunnian Zhao, Krist T. Azizian, Lu Yang, Charles Warden, Xiwei Wu, Massimo D'Apuzzo, Christine Brown, Behnam Badie, Ling Peng, Arthur D. Riggs, John J. Rossi, Yanhong Shi
    Electronic ISSN: 2041-1723
    Topics: Biology , Chemistry and Pharmacology , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 5
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    Paleocene-Early Eocene uplift of the Altyn Tagh Mountain: Evidence from detrital zircon fission-track analysis and seismic sections in the northwestern Qaidam basin (2015)
    Wiley
    Details
    Publication Date: 2015-10-30
    Description: Most existing tectonic models suggest that the deformation and uplift of the northern Tibetan Plateau is the latest crustal response to the collision of the India Plate and Eurasian Plata. The tectonic evolution of Altyn Tagh Mountain (hereafter called simply the ‘Altyn Tagh’), on the northern margin of the Tibetan Plateau, has attracted considerable scientific attention. In this study, we use fission track age dates of detrital zircons from the northwestern Qaidam basin together with sedimentary observations to understand more fully the Cenozoic tectonic uplift of the Altyn Tagh. Detrital zircons from five borehole samples distributed in different folds in the northwestern Qaidam basin yielded ages mainly ranging from 88.5-49.2 Ma, older than their sedimentary deposition ages (43.8-22 Ma). The binomial distribution in grain age fitted peaks were generally dominated by one young peak, P 1 , which varied from 73.6-47.2 Ma. A thinning of the Cenozoic Lulehe Formation (53.5-43.8 Ma) stretched from the inner Qaidam basin to the slopes of the Altyn Tagh in the seismic sections of the northwestern Qaidam basin. Based on magnetostratigraphic dating, there was a hiatus in sedimentation in the Qaidam basin between 65 Ma and 54 Ma; this was confirmed by seismic profiles and borehole data, which show an unconformity between the Mesozoic Quanyagou Formation and the Lulehe Formation. Combined with an analysis of provenance, the detrital zircon young peak age and the sedimentary record revealed that the most significant regional uplift of the Altyn Tagh occurred during the Paleogene-Early Eocene, almost coinciding with the collision of the Indian and Eurasian plates between 65 Ma and 44 Ma.
    Print ISSN: 0148-0227
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
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  • 6
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    Minerals, Vol. 9, Pages 678: Clay Minerals and Element Geochemistry of Clastic Reservoirs in the Xiaganchaigou Formation of the Lenghuqi Area, Northern Qaidam Basin, China (2019)
    MDPI
    In: Minerals
    Details
    Publication Date: 2019
    Description: We performed mineralogical and geochemical analyses of core samples from the Lenghuqi area in the northern marginal tectonic belt of the Qaidam Basin. The clay mineralogy of the Xiaganchaigou Formation sandstone is dominated by I + I/S + C types and characterized by high illite, a higher mixed-layer illite/smectite and chlorite, lesser smectite, and an absence of kaolinite. The clay minerals reflect that the Oligocene sedimentary basin formed in an arid-semi-arid climate with weak leaching and chemical weathering, and that diagenesis occurred in a K+- and Mg2+-rich alkaline environment. Measured major oxide concentrations show clear correlations. The lower Xiaganchaigou Formation is representative of a dry and cold freshwater sedimentary environment, whereas the upper Xiaganchaigou Formation is warmer and more humid. Trace element and rare earth element variations indicate that the paleoclimate conditions of the lower Xiaganchaigou Formation sedimentary period were relatively cold and dry, while the upper Xiaganchaigou Formation formed under warmer and more humid climate conditions. These findings reflect a global climate of a cold and dry period from the late Eocene to early Oligocene, and a short warming period in the late Oligocene.
    Electronic ISSN: 2075-163X
    Topics: Geosciences
    Published by MDPI
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  • 7
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    The TLX-miR-219 cascade regulates neural stem cell proliferation in neurodevelopment and schizophrenia iPSC model (2016)
    Springer Nature
    Details
    Publication Date: 2016-03-13
    Description: Article Dysregulation of microRNAs has been implicated in neurodevelopmental disorders, including schizophrenia. Here the authors show that the TLX-miR-219 cascade regulates the proliferation of neural stem cells during normal development, and this pathway is dysregulated in a schizophrenia iPSC model. Nature Communications doi: 10.1038/ncomms10965 Authors: Kiyohito Murai, Guoqiang Sun, Peng Ye, E. Tian, Su Yang, Qi Cui, Guihua Sun, Daniel Trinh, Olivia Sun, Teresa Hong, Zhexing Wen, Markus Kalkum, Arthur D. Riggs, Hongjun Song, Guo-li Ming, Yanhong Shi
    Electronic ISSN: 2041-1723
    Topics: Biology , Chemistry and Pharmacology , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 8
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    A Novel Power System Reliability Predicting Model Based on PCA and RVM (2013)
    Hindawi
    Details
    Publication Date: 2013-03-20
    Description: The power system reliability is an important index to evaluate the ability of power supply. According to the characteristics of the practical grid operation, this paper trains and sets up power grid reliability predicting model, based on relevance vector machine, taking the load supplying capacity of power grid and natural calamities as input variables, and the outage time of power grid failure affecting the reliability of the power supply as output variables. In the modeling process, through principal component analysis of the training sample set of relevance vector machine, the input factor number of sample is improved, the input number of network is reduced, the network structure is simplified, and the predicting accuracy is increased. Simulation results are provided to verify the effectiveness of the proposed algorithm, which show that it provides a new way for power system reliability predicting.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
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  • 9
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    Energies, Vol. 11, Pages 1958: Ensemble Recurrent Neural Network Based Probabilistic Wind Speed Forecasting Approach (2018)
    MDPI Publishing
    In: Energies
    Details
    Publication Date: 2018-07-28
    Description: Energies, Vol. 11, Pages 1958: Ensemble Recurrent Neural Network Based Probabilistic Wind Speed Forecasting Approach Energies doi: 10.3390/en11081958 Authors: Lilin Cheng Haixiang Zang Tao Ding Rong Sun Miaomiao Wang Zhinong Wei Guoqiang Sun Wind energy is a commonly utilized renewable energy source, due to its merits of extensive distribution and rich reserves. However, as wind speed fluctuates violently and uncertainly at all times, wind power integration may affect the security and stability of power system. In this study, we propose an ensemble model for probabilistic wind speed forecasting. It consists of wavelet threshold denoising (WTD), recurrent neural network (RNN) and adaptive neuro fuzzy inference system (ANFIS). Firstly, WTD smooths the wind speed series in order to better capture its variation trend. Secondly, RNNs with different architectures are trained on the denoising datasets, operating as submodels for point wind speed forecasting. Thirdly, ANFIS is innovatively established as the top layer of the entire ensemble model to compute the final point prediction result, in order to take full advantages of a limited number of deeplearningbased submodels. Lastly, variances are obtained from submodels and then prediction intervals of probabilistic forecasting can be calculated, where the variances inventively consist of modeling and forecasting uncertainties. The proposed ensemble model is established and verified on less than one-hour-ahead ultra-short-term wind speed forecasting. We compare it with other soft computing models. The results indicate the feasibility and superiority of the proposed model in both point and probabilistic wind speed forecasting.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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  • 10
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    Energies, Vol. 9, Pages 1094: A Hybrid Method for Generation of Typical Meteorological Years for Different Climates of China (2016)
    MDPI Publishing
    In: Energies
    Details
    Publication Date: 2016-12-22
    Description: Since a representative dataset of the climatological features of a location is important for calculations relating to many fields, such as solar energy system, agriculture, meteorology and architecture, there is a need to investigate the methodology for generating a typical meteorological year (TMY). In this paper, a hybrid method with mixed treatment of selected results from the Danish method, the Festa-Ratto method, and the modified typical meteorological year method is proposed to determine typical meteorological years for 35 locations in six different climatic zones of China (Tropical Zone, Subtropical Zone, Warm Temperate Zone, Mid Temperate Zone, Cold Temperate Zone and Tibetan Plateau Zone). Measured weather data (air dry-bulb temperature, air relative humidity, wind speed, pressure, sunshine duration and global solar radiation), which cover the period of 1994–2015, are obtained and applied in the process of forming TMY. The TMY data and typical solar radiation data are investigated and analyzed in this study. It is found that the results of the hybrid method have better performance in terms of the long-term average measured data during the year than the other investigated methods. Moreover, the Gaussian process regression (GPR) model is recommended to forecast the monthly mean solar radiation using the last 22 years (1994–2015) of measured data.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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