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  • Open Access

    ARTICLE

    RESEARCH ON BUILDING GLAZED TILE OF FLY ASH ADDED BY RADIATION HEAT TREATMENT INSIDE CATALYTIC COMBUSTION FURNACE OF NATURAL GAS

    Shihong Zhang* , Xu Fan

    Frontiers in Heat and Mass Transfer, Vol.14, pp. 1-6, 2020, DOI:10.5098/hmt.14.9

    Abstract This article discussed compressive strength, water absorption, thermal conductivity and Frost resistance of building glazed tile of fly ash added in order to solve the problem of shortage of raw materials in the production. According to the technology of catalytic combustion furnace, glazed tiles of fly ash added with pure solid texture and glamorous colors were obtained by radiation heat treatment. It also greatly reduced pollutant emissions. The suitable proportion is about 30% of fly ash from these tests and the molding pressure is 20MPa. The utilization of fly ash not only alleviates the environmental More >

  • Open Access

    ARTICLE

    SEIHCRD Model for COVID-19 Spread Scenarios, Disease Predictions and Estimates the Basic Reproduction Number, Case Fatality Rate, Hospital, and ICU Beds Requirement

    Avaneesh Singh*, Manish Kumar Bajpai

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 991-1031, 2020, DOI:10.32604/cmes.2020.012503 - 15 December 2020

    Abstract We have proposed a new mathematical method, the SEIHCRD model, which has an excellent potential to predict the incidence of COVID-19 diseases. Our proposed SEIHCRD model is an extension of the SEIR model. Three-compartments have added death, hospitalized, and critical, which improves the basic understanding of disease spread and results. We have studied COVID-19 cases of six countries, where the impact of this disease in the highest are Brazil, India, Italy, Spain, the United Kingdom, and the United States. After estimating model parameters based on available clinical data, the model will propagate and forecast dynamic… More >

  • Open Access

    ARTICLE

    Text Classification for Azerbaijani Language Using Machine Learning

    Umid Suleymanov1, Behnam Kiani Kalejahi1,2,*, Elkhan Amrahov1, Rashid Badirkhanli1

    Computer Systems Science and Engineering, Vol.35, No.6, pp. 467-475, 2020, DOI:10.32604/csse.2020.35.467

    Abstract Text classification systems will help to solve the text clustering problem in the Azerbaijani language. There are some text-classification applications for foreign languages, but we tried to build a newly developed system to solve this problem for the Azerbaijani language. Firstly, we tried to find out potential practice areas. The system will be useful in a lot of areas. It will be mostly used in news feed categorization. News websites can automatically categorize news into classes such as sports, business, education, science, etc. The system is also used in sentiment analysis for product reviews. For More >

  • Open Access

    ARTICLE

    2,4-D Hyper Accumulation Induced Cellular Responses of Azolla pinnata R. Br. to Sustain Herbicidal Stress

    Arnab Kumar De, Arijit Ghosh, Debabrata Dolui, Indraneel Saha, Malay Kumar Adak*

    Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 999-1017, 2020, DOI:10.32604/phyton.2020.010828 - 09 November 2020

    Abstract In the present experiment with ongoing concentration (0 µM, 100 µM, 250 µM, 500 µM and 1000 µM) of 2,4-D, the responses of Azolla pinnata R.Br. was evaluated based on cellular functions. Initially, plants were significantly tolerated up to 1000 µM of 2,4-D with its survival. This was accompanied by a steady decline of indole acetic acid (IAA) concentration in tissues with 78.8% over the control. Membrane bound H+ -ATPase activity was over expressed within a range of 1.14 to 1.25 folds with activator (KCl) and decreased within a range of 57.3 to 74.6% in response to… More >

  • Open Access

    ARTICLE

    Genetic separation of chalkiness by hybrid rice of Huanghuazhan and CS197

    LU GAN, XIAOSHU DENG, YAN LIU, ANCAI LUO, JIAO CHEN, JING XIANG, ZHENGWU ZHAO*

    BIOCELL, Vol.44, No.3, pp. 451-459, 2020, DOI:10.32604/biocell.2020.08007 - 22 September 2020

    Abstract The present study focused on the segregation of the percentage of grains with chalkiness (PGWC), using Huanghuazhan as the female parent and CS197 as the male parent to construct the hybrid rice F2 population. Molecular markers were used for genotype analysis among the extremely low and extremely high PGWC individuals from the F2 population. The results revealed that the genotypes of 10 extremely low PGWC individuals were 80.00% and 3.33%, which is identical to Huanghuazhan and CS197, respectively. The heterozygotes accounted for 16.67%. On the contrary, the genotypes of 10 extremely high PGWC individuals were 37.78%… More >

  • Open Access

    ARTICLE

    A Study of Single Image Haze Removal Using a Novel White-Patch RetinexBased Improved Dark Channel Prior Algorithm

    Yao-Liang Chung1,*, Hung-Yuan Chung2, Yu-Shan Chen2

    Intelligent Automation & Soft Computing, Vol.26, No.2, pp. 367-383, 2020, DOI:10.31209/2020.100000206

    Abstract In this study, we introduce an algorithm which is based on a series of wellknown algorithms and mainly uses an improved dark channel prior algorithm and the White-Patch Retinex algorithm (both are heterogeneous algorithms) in order to effectively remove the haze from a single image. When used in conjunction with a heterogeneous architecture, the value of the algorithm becomes even greater. With an effective design and a novel procedure, the proposed algorithm can not only restore a clear image, but also solve the halo effect, color distortion, and long operating time issues resulting from the More >

  • Open Access

    ARTICLE

    A Haze Feature Extraction and Pollution Level Identification Pre-Warning Algorithm

    Yongmei Zhang1, *, Jianzhe Ma2, Lei Hu3, Keming Yu4, Lihua Song1, 5, Huini Chen1

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1929-1944, 2020, DOI:10.32604/cmc.2020.010556 - 30 June 2020

    Abstract The prediction of particles less than 2.5 micrometers in diameter (PM2.5) in fog and haze has been paid more and more attention, but the prediction accuracy of the results is not ideal. Haze prediction algorithms based on traditional numerical and statistical prediction have poor effects on nonlinear data prediction of haze. In order to improve the effects of prediction, this paper proposes a haze feature extraction and pollution level identification pre-warning algorithm based on feature selection and integrated learning. Minimum Redundancy Maximum Relevance method is used to extract low-level features of haze, and deep confidence More >

  • Open Access

    ARTICLE

    Fast Single Image Haze Removal Method for Inhomogeneous Environment Using Variable Scattering Coefficient

    Rashmi Gupta1, Manju Khari1, Vipul Gupta1, Elena Verdú2, Xing Wu3, Enrique Herrera-Viedma4, Rubén González Crespo2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1175-1192, 2020, DOI:10.32604/cmes.2020.010092 - 28 May 2020

    Abstract The images capture in a bad environment usually loses its fidelity and contrast. As the light rays travel towards its destination they get scattered several times due to the tiny particles of fog and pollutants in the environment, therefore the energy gets lost due to multiple scattering till it arrives its destination, and this degrades the images. So the images taken in bad weather appear in bad quality. Therefore, single image haze removal is quite a bit tough task. Significant research has been done in the haze removal algorithm but in all the techniques, the… More >

  • Open Access

    EDITORIAL

    Is BCG a Hazardous Drug? Ask NIOSH, OSHA, and the USP

    Leonard G. Gomella

    Canadian Journal of Urology, Vol.26, No.2, pp. 9687-9689, 2019

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Effect of Synthesis Parameters on Phosphoric Acid Doped Polybenzimidazole Membranes: A Parametric Evaluation from Microstructural Level to Fuel Cell Performance

    ÇAĞLA GÜL GÜLDİKEN, LEVENT AKYALÇIN, HASAN FERDİ GERÇEL*

    Journal of Polymer Materials, Vol.36, No.4, pp. 337-349, 2019, DOI:10.32381/JPM.2019.36.04.4

    Abstract In the present study, polybenzimidazole (PBI) polymer which has a great importance in polymer electrolyte membrane (PEM) research was synthesized via the solution polycondensation method, under various synthesis conditions to put forward the effect of the synthesis parameters on the properties of the synthesized polymer and consequently to the quality of the prepared polymer electrolyte membrane. The synthesized polymers were characterized in terms of their chemical structure, thermal degradation behaviour, and molecular weight by Fourier transform infrared spectroscopy (FTIR), nuclear magnetic resonance spectroscopy (1 H NMR), thermogravimetric analysis (TGA). The Mechanical properties, acid-doping level capacity, proton More >

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