Kai Long^1,*, Xiaoyu Yang¹, Nouman Saeed¹, Zhuo Chen¹, Yi Min Xie²

CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 293-310, 2021, DOI:10.32604/cmes.2021.012734 - 22 December 2020

Abstract A methodology for achieving the maximum bulk or shear modulus in an elastic composite composed of two isotropic phases with distinct Poisson’s ratios is proposed. A topology optimization algorithm is developed which is capable of nding microstructures with extreme properties very close to theoretical upper bounds. The effective mechanical properties of the designed composite are determined by a numerical homogenization technique. The sensitivities with respect to design variables are derived by simultaneously interpolating Young’s modulus and Poisson’s ratio using different parameters. The so-called solid isotropic material with penalization method is developed to establish the optimization… More >

Mengtao Cao^1,2, Weiguo Liang^1,2, Shunde Yin^3,*, Maurice B. Dusseault⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 217-239, 2021, DOI:10.32604/cmes.2021.011823 - 22 December 2020

Abstract Injection-induced fracture reactivation during hydraulic fracturing processes in shale gas development as well as coal bed methane (CBM) and other unconventional oil and gas recovery is widely investigated because of potential permeability enhancement impacts. Less attention is paid to induced fracture reactivation during oil and gas production and its impacts on reservoir permeability, despite its relatively common occurrence. During production, a reservoir tends to shrink as effective stresses increase, and the deviatoric effective stresses also increase. These changes in the principal effective stresses may cause Coulomb fracture slip in existing natural fractures, depending on their… More >

Natthanan Wonganan, Chainarong Athisakul^*, Peerasit Mahasuwanchai, Weerachart Tangchirapat, Raktipong Sahamitmongkol, Sutat Leelataviwat

Journal of Renewable Materials, Vol.9, No.2, pp. 179-204, 2021, DOI:10.32604/jrm.2021.013134 - 15 December 2020

Abstract The historical structures of Thailand are some of the most fascinating ancient sites in Asia. Their architectures reveal past cultures, traditions, knowledge, and expertise. Masonry materials are the major materials used to construct the historical structures in Thailand. One of the essential problem of Thai historical structure preservation is a shortage of engineering properties data for the structural stability assessment. Moreover, the in-depth engineering properties and the suitable substitution materials for Thai historical preservation are rarely found. Therefore, the engineering properties of the ancient masonry materials have to be explored together with the development of… More >

Yueqiang Yu¹, Suling Wang^1,*, Minzheng Jiang¹, Yanling Guo^2,3, Ting Jiang^1,*

Journal of Renewable Materials, Vol.9, No.2, pp. 351-364, 2021, DOI:10.32604/jrm.2021.012885 - 15 December 2020

Abstract In order to enhance the strength of sustainable walnut shell/Co-PES (WSPC) sintered parts, wax-filtrated post-treatment was carried out. The effects of treating fluid temperature, preheating time and immersion time on the bending strength of WSPC wax-filtrated parts were analyzed by single factor analysis method. To obtain an accurate model for predicting the bending strength of the WSPC wax-filtrated part, the experiments were involved by using Box-Behnken design (BBD). Main parameters, such as treating fluid temperature, preheating time and immersion time, and their interactive effects were analyzed through analysis of variance (ANOVA) and graphical contours. The… More >

Yang Li^#, Xiaoying Zha^#, Xingliang Xiong, Yan Zhang, Ying Feng, Haojiang Xie, Linqing Zhang, Qifeng Jiang^*

Journal of Renewable Materials, Vol.9, No.2, pp. 295-310, 2021, DOI:10.32604/jrm.2021.012271 - 15 December 2020

Abstract A silk fibroin (SF) spongy wound dressing incorporated with silver nanoparticles (Ag-NPs) was developed for biomedical applications. Ag-NPs were efficiently synthesized in situ via ultra violet (UV) with AgNO₃ as precursor and silk fibroin as reducing and protecting agent, respectively. After lyophilization, the formed silk fibroin spongy wound dressing (SFWD) exhibited polyporous morphology and inner lamellae structures, with uniform dispersion of Ag-NPs. The porous structure provided SFWD with the ability to absorb tissue exudatealmost 6 times of its own weight, which could guarantee the sustained release of Ag-NPs. By methanol treatment, SFWD showed much improved mechanical properties… More >

Christ Stone Arnaud Bopenga Bopenga¹, Henri Meyo Degboevi¹, Kevin Candelier², Prosper Edou Engonga³, Stéphane Dumarçay¹, Marie France Thévenon², Christine Gérardin Charbonnier¹, Philippe Gérardin^1,*

Journal of Renewable Materials, Vol.9, No.1, pp. 17-33, 2021, DOI:10.32604/jrm.2021.013366 - 30 November 2020

Abstract

Chemical composition of the bark extracts of Coula edulis was investigated to find potential antioxidant, anti-termite and antifungal compounds which can find useful applications in the fields of food, nutraceuticals, cosmetics or agrochemical. Phytochemical screening revealed the presence of several groups of active molecules such as alkaloids, polyphenols, flavonoids, saponins and sterols and/or terpenes in the different extracts. Total phenols, condensed tannins and flavonoids contents corroborated phytochemical screening. Gas chromatography-mass spectrometry (GC-MS) analysis revealed compounds in dichloromethane extract different from those obtained with all the other solvents. Hexadecanoic and trans-9-octadecenoic acids, as well as stigmasterol and β-sitosterol

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Xianjun Wang¹, Junzhen Di^1,*, Yanrong Dong¹, Yu Yang¹, Bing Liang², Fankang Meng¹, Tingting Wang¹, Wenbo An¹, Zengxin Li³, Jianzhi Guo³

Journal of Renewable Materials, Vol.9, No.1, pp. 163-177, 2021, DOI:10.32604/jrm.2021.011678 - 30 November 2020

Abstract

The study is aimed at the problem of high content of Cr⁶⁺, Cr³⁺ and SO₄^2– is high and low pH value in acid mine drainage (AMD). Moreover, treatment of AMD by sulfate reducing bacteria (SRB) requires the addition of carbon source, while the treating effectiveness is not good enough on its own. The sugarcane slag, the corn cob and the sunflower straw were selected as the SRB carbon source cooperating with iron scrap to construct the dynamic columns 1, 2 and 3. The mechanism of removing Cr⁶⁺, Cr³⁺, SO₄^2– and H⁺ and the regularity of sustained

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Haijun Geng^1,2,*, Han Zhang³, Yangyang Zhang⁴

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1733-1744, 2021, DOI:10.32604/cmc.2020.013355 - 26 November 2020

Abstract With an increasing urgent demand for fast recovery routing mechanisms in large-scale networks, minimizing network disruption caused by network failure has become critical. However, a large number of relevant studies have shown that network failures occur on the Internet inevitably and frequently. The current routing protocols deployed on the Internet adopt the reconvergence mechanism to cope with network failures. During the reconvergence process, the packets may be lost because of inconsistent routing information, which reduces the network’s availability greatly and affects the Internet service provider’s (ISP’s) service quality and reputation seriously. Therefore, improving network availability… More >

K. Shankar^1,*, Eswaran Perumal¹, Mohamed Elhoseny², Phong Thanh Nguyen³

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1665-1680, 2021, DOI:10.32604/cmc.2020.013251 - 26 November 2020

Abstract Diabetic retinopathy (DR) is a disease with an increasing prevalence and the major reason for blindness among working-age population. The possibility of severe vision loss can be extensively reduced by timely diagnosis and treatment. An automated screening for DR has been identified as an effective method for early DR detection, which can decrease the workload associated to manual grading as well as save diagnosis costs and time. Several studies have been carried out to develop automated detection and classification models for DR. This paper presents a new IoT and cloud-based deep learning for healthcare diagnosis… More >

Engy El-shafeiy¹, Aboul Ella Hassanien², Karam M. Sallam^3,*, A. A. Abohany⁴

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1745-1755, 2021, DOI:10.32604/cmc.2020.013066 - 26 November 2020

Abstract Currently, COVID-19 is spreading all over the world and profoundly impacting people’s lives and economic activities. In this paper, a novel approach called the COVID-19 Quantum Neural Network (CQNN) for predicting the severity of COVID-19 in patients is proposed. It consists of two phases: In the first, the most distinct subset of features in a dataset is identified using a Quick Reduct Feature Selection (QRFS) method to improve its classification performance; and, in the second, machine learning is used to train the quantum neural network to classify the risk. It is found that patients’ serial More >