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  • Open Access

    ARTICLE

    Effects of Different Spectra from LED on the Growth, Development and Reproduction of Arabidopsis thaliana

    Tengyue Zou, Bing Wu, Wen Wu, Long Ge, Yong Xu*

    Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 275-289, 2020, DOI:10.32604/phyton.2020.09277 - 22 April 2020

    Abstract Light is the major source of energy for plants and as such has a profound effect on plant growth and development. Red and blue lights have been considered to best drive photosynthetic metabolism and are beneficial for plant growth and development, and green light was seen as a signal to slow down or stop. In this study, Arabidopsis thaliana (Arabidopsis) was used to investigate the effects of red, blue and green lights on the growth and development of plants from seed germination to seeding. Results demonstrated that red light showed a promotion effect but blue light a More >

  • Open Access

    ARTICLE

    Genome-Wide Identification of the F-box Gene Family and Expression Analysis under Drought and Salt Stress in Barley

    Lantian Zhang, Siyi Wang, Yuyu Chen, Mengyuan Dong, Yunxia Fang, Xian Zhang, Tao Tong, Ziling Zhang, Junjun Zheng, Dawei Xue*, Xiaoqin Zhang*

    Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 229-251, 2020, DOI:10.32604/phyton.2020.10022 - 22 April 2020

    Abstract The F-box protein-encoding gene family plays an essential role in plant stress resistance. In present study, 126 non-redundant F-box genes were identified in barley (Hordeum vulgare L., Hv). The corresponding proteins contained 165– 887 amino acid residues and all were amphiphilic, except 5 proteins. Phylogenetic analysis of F-box protein sequences in barley and stress-related F-box protein sequences in wheat and Arabidopsis thaliana (At) was used to classify barley F-box genes are divided into 9 subfamilies (A–I). A structure-based sequence alignment demonstrated that F-box proteins were highly conserved with a total of 10 conserved motifs. In total, 124 F-box genes were… More >

  • Open Access

    ARTICLE

    Within-Project and Cross-Project Software Defect Prediction Based on Improved Transfer Naive Bayes Algorithm

    Kun Zhu1, Nana Zhang1, Shi Ying1, *, Xu Wang2

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 891-910, 2020, DOI:10.32604/cmc.2020.08096 - 01 May 2020

    Abstract With the continuous expansion of software scale, software update and maintenance have become more and more important. However, frequent software code updates will make the software more likely to introduce new defects. So how to predict the defects quickly and accurately on the software change has become an important problem for software developers. Current defect prediction methods often cannot reflect the feature information of the defect comprehensively, and the detection effect is not ideal enough. Therefore, we propose a novel defect prediction model named ITNB (Improved Transfer Naive Bayes) based on improved transfer Naive Bayesian… 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 - 01 March 2020

    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… More >

  • Open Access

    ARTICLE

    Recommender System Combining Popularity and Novelty Based on One-Mode Projection of Weighted Bipartite Network

    Yong Yu1, Yongjun Luo1, Tong Li2, Shudong Li3, *, Xiaobo Wu4, Jinzhuo Liu1, *, Yu Jiang3, *

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 489-507, 2020, DOI:10.32604/cmc.2020.07616 - 30 March 2020

    Abstract Personalized recommendation algorithms, which are effective means to solve information overload, are popular topics in current research. In this paper, a recommender system combining popularity and novelty (RSCPN) based on one-mode projection of weighted bipartite network is proposed. The edge between a user and item is weighted with the item’s rating, and we consider the difference in the ratings of different users for an item to obtain a reasonable method of measuring the similarity between users. RSCPN can be used in the same model for popularity and novelty recommendation by setting different parameter values and More >

  • Open Access

    ARTICLE

    Measurement Device Independent Quantum Key Distribution Based on Orbital Angular Momentum under Parametric Light Source

    Meng Wang1, Hong Lai1, *, Lei Pan2

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 369-387, 2020, DOI:10.32604/cmc.2020.07342 - 30 March 2020

    Abstract On the one hand, existing measurement device independent quantum key distribution (MDI-QKD) protocols have usually adopted single photon source (SPS) and weak coherent photon (WCP), however, these protocols have suffered from multi-photon problem brought from photon splitter number attacks. On the other hand, the orbital angular momentum (OAM)-MDI-QKD protocol does not need to compare and adjust the reference frame, solving the dependency of the base in the MDI-QKD protocol. Given that, we propose the OAM-MDI-QKD protocol based on the parametric light sources which mainly include single-photon-added-coherent (SPACS) and heralded single-photon sources (HSPS). Due to the 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 - 30 March 2020

    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 More >

  • Open Access

    ARTICLE

    Left or Right Hand Classification from Fingerprint Images Using a Deep Neural Network

    Junseob Kim1, Beanbonyka Rim1, Nak-Jun Sung1, Min Hong2, *

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 17-30, 2020, DOI:10.32604/cmc.2020.09044 - 30 March 2020

    Abstract Fingerprint security technology has attracted a great deal of attention in recent years because of its unique biometric information that does not change over an individual’s lifetime and is a highly reliable and secure way to identify a certain individuals. AFIS (Automated Fingerprint Identification System) is a system used by Korean police for identifying a specific person by fingerprint. The AFIS system, however, only selects a list of possible candidates through fingerprints, the exact individual must be found by fingerprint experts. In this paper, we designed a deep learning system using deep convolution network to… More >

  • Open Access

    ARTICLE

    Experimental Study of Waste Tire Rubber, Wood-Plastic Particles and Shale Ceramsite on the Performance of Self-Compacting Concrete

    Lei Tian, Liuchao Qiu*, Jingjun Li, Yongsen Yang

    Journal of Renewable Materials, Vol.8, No.2, pp. 154-170, 2020, DOI:10.32604/jrm.2020.08701 - 01 February 2020

    Abstract In recent decades, the utilization of waste tires, plastic and artificial shale ceramsite as alternative fine aggregate to make self-compacting concrete (SCC) has been recognized as an eco-friendly and sustainable method to manufacture renewable construction materials. In this study, three kinds of recycled aggregates: recycled tire rubber particles, wood-plastic particles, artificial shale ceramsite were used to replace the sand by different volume (5%, 10%, 20% and 30%), and their effects on the fresh and hardened properties of SCC were investigated. The slump flow and V-funnel tests were conducted to evaluate the fresh properties of modified-SCC… More >

  • Open Access

    ARTICLE

    Adsorption Behavior of Reducing End-Modified Cellulose Nanocrystals: A Kinetic Study Using Quartz Crystal Microbalance

    Maud Chemin, Céline Moreau, Bernard Cathala, Ana Villares*

    Journal of Renewable Materials, Vol.8, No.1, pp. 29-43, 2020, DOI:10.32604/jrm.2020.07850 - 01 January 2020

    Abstract In this work, we studied the adsorption of modified cellulose nanocrystals onto solid surfaces by quartz crystal microbalance with dissipation monitoring (QCM-D). Cellulose nanocrystals obtained from tunicate (CNC) were modified at reducing end by amidation reactions. Two different functionalities were investigated: a polyamine dendrimer (CNC-NH2), which interacts with gold surface by the amine groups; and a biotin moiety (CNC-Biot), which has a strong affinity for the protein streptavidin (SAV). QCM-D results revealed different adsorption behaviors between modified and unmodified CNCs. Hence, unmodified CNCs covered almost all the surface forming a rigid and flat layer whereas reducing More >

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