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  • Open Access

    ARTICLE

    Impact of Greenization on the Marginal Utility of Intensity of Carbon Emissions and Factors Affecting it in China

    Yu Liu1, Ruiting Jiao1, Liyao Zhao1, Kai Liu1,2,*

    Energy Engineering, Vol.118, No.2, pp. 363-378, 2021, DOI:10.32604/EE.2021.013472

    Abstract The impact of greenization on the marginal utility of the intensity of carbon emissions in China and factors influencing this relationship are explored in this study. China’s level of greenization is evaluated by using an index system developed based on the comprehensive index method. The intensity of carbon emissions is determined by using the standards for the coefficients of conversion of coal equivalent and coefficients of carbon emission. The impact of greenization on the marginal utility of the intensity of carbon emissions is then evaluated by using an elastic formula and factors affecting this relationship are verified by regression analysis.… More >

  • Open Access

    ARTICLE

    Effects of Biochar Particle Size on Methane Emissions from Rice Cultivation

    Patikorn Sriphirom1,2, Amnat Chidthaisong1,2,3, Kazuyuki Yagi1,2, Nimaradee Boonapatcharoen4, Sudarut Tripetchkul5, Sirintornthep Towprayoon1,2,3,*

    Journal of Renewable Materials, Vol.8, No.10, pp. 1199-1214, 2020, DOI:10.32604/jrm.2020.010826

    Abstract Biochar amendment is generally recognized as an effective mitigation option of methane (CH4) emissions from rice cultivation. Although its mitigation mechanisms are not well understood, the potential relevance of surface area and porosity of biochar has been discussed. This study aimed to evaluate the application of different biochar particle sizes on CH4 production, oxidation, and emissions from rice cultivation in a clay loam soil, based on the assumption that porosity and surface area of biochar are directly related to its mitigation effects. Rice was grown under greenhouse conditions for two growing seasons, either with 0.5–2 mm (small, SB) or with… More >

  • Open Access

    ARTICLE

    Acoustic Shock Emission in a Collision of a Drop with Water Surface

    V. E. Prokhorov*

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.4, pp. 737-746, 2020, DOI:10.32604/fdmp.2020.08988

    Abstract The collision of droplets with a water surface is being actively developed in the interests of many applied problems—transfer of matter through the ocean-atmosphere boundary, underwater acoustic noise of the marine environment, measurement of precipitation intensity, various technologies, and much more. One of the research priorities is acoustic radiation, in particular, shock sound arising at the moment a drop contacts the surface. The impact of the drop is preceded by processes that affect the shape of the drop, because of which it noticeably deviates from the spherical one. As a result, the final (contact) velocity changes–one of the most important… More >

  • Open Access

    ARTICLE

    Acoustic Emission Recognition Based on a Two-Streams Convolutional Neural Network

    Weibo Yang1, Weidong Liu2, *, Jinming Liu3, Mingyang Zhang4

    CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 515-525, 2020, DOI:10.32604/cmc.2020.09801

    Abstract The Convolutional Neural Network (CNN) is a widely used deep neural network. Compared with the shallow neural network, the CNN network has better performance and faster computing in some image recognition tasks. It can effectively avoid the problem that network training falls into local extremes. At present, CNN has been applied in many different fields, including fault diagnosis, and it has improved the level and efficiency of fault diagnosis. In this paper, a two-streams convolutional neural network (TCNN) model is proposed. Based on the short-time Fourier transform (STFT) spectral and Mel Frequency Cepstrum Coefficient (MFCC) input characteristics of two-streams acoustic… More >

  • Open Access

    ARTICLE

    Fused cardiac hybrid imaging with coronary computed tomography angiography and positron emission tomography in patients with complex coronary artery anomalies

    Christoph Gräni, Dominik C. Benz, Mathias Possner, Olivier F. Clerc, Fran Mikulicic, Jan Vontobel, Julia Stehli, Tobias A. Fuchs, Aju P. Pazhenkottil, Oliver Gaemperli, Philipp A. Kaufmann, Ronny R. Buechel

    Congenital Heart Disease, Vol.12, No.1, pp. 49-57, 2017

    Abstract Objective: To provide data on the value of fused cardiac hybrid imaging with coronary computed tomography angiography (CCTA) and positron emission tomography myocardial perfusion imaging (PET-MPI) in patients with complex coronary artery anomalies (CCAA).
    Design/setting: This is a retrospective, single-center study.
    Patients: Seven consecutive patients with CCAA (mean 57 ± 7 y, 86% were male) who underwent clinically indicated hybrid CCTA/PET-MPI between 2005 and 2015 in our clinic were included. The findings from both modalities and fused cardiac hybrid imaging were evaluated in these patients.
    Results: Out of the seven patients with CCAA, two patients had Bland–White–Garland anomaly, two patients… More >

  • Open Access

    ARTICLE

    Research on the Influencing Rules of Gas Hydrate Emission Dissipation Coefficient Based on Subspace Spectrum Clustering

    Geng Guo1,*, Leiwen Chen1, Ji Li2, Shu Yan3, Wenxiang Wu4, Lingxu Li5, Hongda Li6

    Energy Engineering, Vol.117, No.2, pp. 79-88, 2020, DOI:10.32604/EE.2020.010529

    Abstract Featured by high energy density, low combustion pollution and large quantity, natural gas hydrate has become one of the research hotspots in Sanlutian Field of Muri Coalfield since 2008, when China first drilled natural gas hydrate samples in the permafrost area of Qilian Mountains, Qinghai-Tibet Plateau. However, the study on the controlling factors of gas hydrate accumulation is still shallow, which hinders the exploration and development of natural gas hydrate resources. The controlling factors of gas hydrate accumulation mainly include temperature and pressure conditions, gas source conditions, sedimentary conditions and structural conditions, among which structural conditions are the important one.… More >

  • Open Access

    ARTICLE

    Pyrolysis of Rice Husk in a Fluidized Bed Reactor: Evaluate the Characteristics of Fractional Bio-Oil and Particulate Emission of Carbonaceous Aerosol (CA)

    Ning Li1,2, Weiming Yi1,2, Zhihe Li1,2,*, Lihong Wang1,2, Yongjun Li1,2, Xueyuan Bai1,2, Mei Jiang1,2

    Journal of Renewable Materials, Vol.8, No.3, pp. 329-346, 2020, DOI:10.32604/jrm.2020.08618

    Abstract Bio-oil production via pyrolysis is one of promising technologies for renewable energy production from bio-wastes. However, the complicated biooil is still a challenge for high-valued application and during biomass pyrolysis, the emission of non-cleaned aerosol, the potential emission, namely carbonaceous aerosol (CA) increased the difficulty of the commercial promotion. In this study, Rice husk pyrolysis was performed in a semi-continuous fluidized bed reactor coupled with fractional condensers. The effects of pyrolysis and condensation temperature on the properties of bio-oil and emission of CA were investigated systemically. Results indicated that the in-situ separation of vapors was accomplished via condensers of different… More >

  • Open Access

    ARTICLE

    A Rub-Impact Recognition Method Based on Improved Convolutional Neural Network

    Weibo Yang1, *, Jing Li2, Wei Peng2, Aidong Deng3

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 283-299, 2020, DOI:10.32604/cmc.2020.07511

    Abstract Based on the theory of modal acoustic emission (AE), when the convolutional neural network (CNN) is used to identify rotor rub-impact faults, the training data has a small sample size, and the AE sound segment belongs to a single channel signal with less pixel-level information and strong local correlation. Due to the convolutional pooling operations of CNN, coarse-grained and edge information are lost, and the top-level information dimension in CNN network is low, which can easily lead to overfitting. To solve the above problems, we first propose the use of sound spectrograms and their differential features to construct multi-channel image… More >

  • Open Access

    ARTICLE

    Coal Rock Condition Detection Model Using Acoustic Emission and Light Gradient Boosting Machine

    Jing Li1, Yong Yang2, *, Hongmei Ge1, Li Zhao3, Ruxue Guo3, 4

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 151-162, 2020, DOI:10.32604/cmc.2020.05649

    Abstract Coal rock mass instability fracture may result in serious hazards to underground coal mining. Acoustic emissions (AE) stimulated by internal structure fracture should carry lots of favorable information about health condition of rock mass. AE as a sensitive non-destructive test method is gradually utilized to detect anomaly conditions of coal rock. This paper proposes an improved multi-resolution feature to extract AE waveform at different frequency resolutions using Coilflet Wavelet Transform method (CWT). It is further adopt an efficient Light Gradient Boosting Machine (LightGBM) by several cascaded sub weak classifier models to merge AE features at different views of frequency for… More >

  • Open Access

    ARTICLE

    Bovine parthenogenotes produced by inhibition of first or second polar bodies emission

    ROMINA J. BEVACQUA, RAFAEL FERNANDEZ-MARTIN, DANIEL F. SALAMONE

    BIOCELL, Vol.35, No.1, pp. 1-7, 2011, DOI:10.32604/biocell.2011.35.001

    Abstract Parthenogenetic embryos are an ethically acceptable alternative for the derivation of human embryonic stem cells. In this work, we propose a new strategy to produce bovine parthenogenetic embryos inhibiting the emission of the first polar body during in vitro maturation, and allowing the extrusion of the second polar body during oocyte activation. Cytochalasin B, an inhibitor of actin microfilaments, was employed during in vitro maturation to inhibit first polar body emission or during parthenogenetic activation to block second polar body emission. Only one polar body was inhibited in each strategy in order to keep the diploid chromosome set. In experiment… More >

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