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  • Open Access

    ARTICLE

    Synthesis of Green Adhesive with Tannin Extracted from Eucalyptus Bark for Potential Use in Wood Composites

    Medjda Amari1, Kamel Khimeche1,*, Abdelkader Hima2 , Redouane Chebout3, Abderahmane Mezroua1

    Journal of Renewable Materials, Vol.9, No.3, pp. 463-475, 2021, DOI:10.32604/jrm.2021.013680 - 14 January 2021

    Abstract Recently, the exploitation of renewable plant resources in the formulation of adhesives is very promising for their availability at low coast, as well as their richness in biomolecules such as polyphenols. In this way, many research studies tannins extracted from different sources such as mimosa, quebracho, and pine have been the subject of very satisfactory recent studies. In this paper, a new complete characterization of the tannins extracted from the bark of eucalyptus globulus harvested from two regions in Algeria was achieved. The structural characterization enabled us to confirm the richness in condensed tannins, particularly in procyanidin More >

  • Open Access

    REVIEW

    Biomolecules of Interest Present in the Main Industrial Wood Species Used in Indonesia-A Review

    Resa Martha1,2, Mahdi Mubarok1,2, Wayan Darmawan2, Wasrin Syafii2, Stéphane Dumarcay1, Christine Gérardin Charbonnier1, Philippe Gérardin1,*

    Journal of Renewable Materials, Vol.9, No.3, pp. 399-449, 2021, DOI:10.32604/jrm.2021.014286 - 14 January 2021

    Abstract As a tropical archipelagic country, Indonesia’s forests possess high biodiversity, including its wide variety of wood species. Valorisation of biomolecules released from woody plant extracts has been gaining attractive interests since in the middle of 20th century. This paper focuses on a literature review of the potential valorisation of biomolecules released from twenty wood species exploited in Indonesia. It has revealed that depending on the natural origin of the wood species studied and harmonized with the ethnobotanical and ethnomedicinal knowledge, the extractives derived from the woody plants have given valuable heritages in the fields of More >

  • Open Access

    ARTICLE

    Bond Behavior between BFRP Bars and Hybrid Fiber Recycled Aggregate Concrete after High Temperature

    Boheng Zhu1, Huaxin Liu1,*, Genjin Liu2, Abasal Hussain2, Xiaofei Zhang3, Xuezhi Wang1

    Journal of Renewable Materials, Vol.9, No.3, pp. 507-521, 2021, DOI:10.32604/jrm.2021.013580 - 14 January 2021

    Abstract The aim of this study is to improve the bond performance of basalt fiber reinforced polymer (BFRP) bars and recycled aggregate concrete (RAC) after being exposed to high temperatures. The bond behavior (failure modes, bond strength, bond stress-slip curves) between BFRP bars and hybrid fiber recycled aggregate concrete (HFRAC) after being exposed to temperatures ranging from 20°C up to 500°C was studied by using pull-out tests. The effect of high temperatures on mechanical properties of concrete (compressive strength, splitting tensile strength) and tensile strength of BFRP bars was also investigated. The bond strength decreased as More >

  • Open Access

    ARTICLE

    Enhanced Thermal Performance of Roofing Materials by Integrating Phase Change Materials to Reduce Energy Consumption in Buildings

    Chanita Mano, Atthakorn Thongtha*

    Journal of Renewable Materials, Vol.9, No.3, pp. 495-506, 2021, DOI:10.32604/jrm.2021.013201 - 14 January 2021

    Abstract This work focused on characterizing and improving the thermal behavior of metal sheet roofing. To decrease the heat transfer from the roof into a building, we investigated the efficiency of four types of phase change materials, with different melting points: PCM І, PCM II, PCM III and PCM IV, when used in conjunction with a sheet metal roof. The exterior metal roofing surface temperature was held constant at 50°C, 60°C, 70°C and 80°C, using a thermal source (halogen lights) for 360 min to investigate and compare the thermal performance of the metal sheet roofing with… More >

  • Open Access

    ARTICLE

    Damping Analysis and Failure Mechanism of 3D Printed Bio-Based Sandwich with Auxetic Core under Bending Fatigue Loading

    Khawla Essassi1,2,*, Jean-Luc Rebiere1, Abderrahim El Mahi1, Mohamed Amine Ben Souf2, Anas Bouguecha2, Mohamed Haddar2

    Journal of Renewable Materials, Vol.9, No.3, pp. 569-584, 2021, DOI:10.32604/jrm.2021.012253 - 14 January 2021

    Abstract Meta-sandwich composites with three-dimensional (3D) printed architecture structure are characterized by their high ability to absorb energy. In this paper, static and fatigue 3-point bending tests are implemented on a 3D printed sandwich composites with a re-entrant honeycomb core. The skins, core and whole sandwich are manufactured using the same bio-based material which is polylactic acid with flax fiber reinforcement. Experimental tests are performed in order to evaluate the durability and the ability of this material to dissipate energy. First, static tests are conducted to study the bending behaviour of the sandwich beams, as well… More >

  • Open Access

    ARTICLE

    A Novel Broadband Antenna Design for 5G Applications

    Omar A. Saraereh*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1121-1136, 2021, DOI:10.32604/cmc.2021.015066 - 12 January 2021

    Abstract Wireless communication is one of the rapidly-growing fields of the communication industry. This continuous growth motivates the antenna community to design new radiating structures to meet the needs of the market. The 5G wireless communication has received a lot of attention from both academia and industry and significant efforts have been made to improve different aspects, such as data rate, latency, mobility, reliability and QoS. Antenna design has received renewed attention in the last decade due to its potential applications in 5G, IoT, mmWave, and massive MIMO. This paper proposes a novel design of broadband… More >

  • Open Access

    ARTICLE

    Methodology for Detecting Strabismus through Video Analysis and Intelligent Mining Techniques

    Hanan Abdullah Mengash1,*, Hanan A. Hosni Mahmoud1,2

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1013-1032, 2021, DOI:10.32604/cmc.2021.014942 - 12 January 2021

    Abstract Strabismus is a medical condition that is defined as the lack of coordination between the eyes. When Strabismus is detected at an early age, the chances of curing it are higher. The methods used to detect strabismus and measure its degree of deviation are complex and time-consuming, and they always require the presence of a physician. In this paper, we present a method of detecting strabismus and measuring its degree of deviation using videos of the patient’s eye region under a cover test. Our method involves extracting features from a set of training videos (training… More >

  • Open Access

    ARTICLE

    Identifying Driver Genes Mutations with Clinical Significance in Thyroid Cancer

    Hyeong Won Yu1, Muhammad Afzal2, Maqbool Hussain2, Hyungju Kwon3, Young Joo Park4, June Young Choi1,*, Kyu Eun Lee5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1241-1251, 2021, DOI:10.32604/cmc.2021.014910 - 12 January 2021

    Abstract Advances in technology are enabling gene mutations in papillary thyroid carcinoma (PTC) to be analyzed and clinical outcomes, such as recurrence, to be predicted. To date, the most common genetic mutation in PTC is in BRAF kinase (BRAF). However, whether mutations in other genes coincide with those in BRAF remains to be clarified. The aim of this study was to find mutations in other genes that co-exist with mutated BRAF, and to analyze their frequency and clinical relevance in PTC. Clinical and genetic data were collected from 213 PTC patients with a total of 36,572… More >

  • Open Access

    ARTICLE

    Generic Attribute Scoring for Information Decay in Threat Information Sharing Platform

    Mohammed Alshehri*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 917-931, 2021, DOI:10.32604/cmc.2021.014848 - 12 January 2021

    Abstract Cyber Threat Intelligence (CTI) has gained massive attention to collect hidden knowledge for a better understanding of the various cyber-attacks and eventually paving the way for predicting the future of such attacks. The information exchange and collaborative sharing through different platforms have a significant contribution towards a global solution. While CTI and the information exchange can help a lot in focusing and prioritizing on the use of the large volume of complex information among different organizations, there exists a great challenge ineffective processing of large count of different Indicators of Threat (IoT) which appear regularly,… More >

  • Open Access

    ARTICLE

    An Online Chronic Disease Prediction System Based on Incremental Deep Neural Network

    Bin Yang1,*, Lingyun Xiang2, Xianyi Chen3, Wenjing Jia4

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 951-964, 2021, DOI:10.32604/cmc.2021.014839 - 12 January 2021

    Abstract Many chronic disease prediction methods have been proposed to predict or evaluate diabetes through artificial neural network. However, due to the complexity of the human body, there are still many challenges to face in that process. One of them is how to make the neural network prediction model continuously adapt and learn disease data of different patients, online. This paper presents a novel chronic disease prediction system based on an incremental deep neural network. The propensity of users suffering from chronic diseases can continuously be evaluated in an incremental manner. With time, the system can… More >

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