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  • Open Access

    ARTICLE

    Hygrothermal/UV Aging Effect on Visual Aspect and Mechanical Properties of Non-Woven Natural-Fiber Composites

    Daniel Scida1,*, Sébastien Alix1, Stéphane Buet1, El Hadi Saidane1, François Courmont1,2, Karim Behlouli2, Rezak Ayad1

    Journal of Renewable Materials, Vol.7, No.9, pp. 865-875, 2019, DOI:10.32604/jrm.2019.06609

    Abstract This work aims at studying the effect of hygrothermal and UV cyclic aging on the tensile properties and esthetic characteristics of non-woven composites. The composite materials were thermo-compressed from non-woven mats made up of PP and flax or kenaf fibers. This works included evaluating the change in color appearance and analyzing the variations in tensile properties and damage mechanisms, depending on the aging time. The presence of the UV protection film on the composite surface showed its effectiveness against aging. From visual observations and measurement of colorimetric parameters, it has been proved effective in the More >

  • Open Access

    ARTICLE

    A Challenging Approach to Improve the Low Affinity of Acrylic Fibres to Be Successfully Dyed with a Bio-Colorant Extracted from Grape Marc

    Noureddine Baaka1,*, Manel Ben Ticha1,2, Wafa Haddar1,3, Mohamed Farouk Mhenni1

    Journal of Renewable Materials, Vol.7, No.3, pp. 289-300, 2019, DOI:10.32604/jrm.2019.04355

    Abstract Acrylic fibres are highly crystalline and non-polar polymers, which makes their dyeing a very difficult step that poses real technical challenges. In order to overcome this concern, it is intended in this paper to modify acrylic fibers by different methods namely cationisation using the Crosscolor DRT then amidoximation using hydroxylamine hydrochloride and ammonium acetate. The resulted samples were dyed then with the bio-colorant extracted from grape marc. The effect of the pretreatment on fibers fine structure using X-ray diffraction and the scanning electron microscope (SEM) images and its correlation with the colour strength of the More >

  • Open Access

    ARTICLE

    Influence of Blueberry and Jaboticaba Agroindustrial Residue Particle Size on Color Change of Corn Starch Based Films Submitted to Different pH Values Solutions

    Cláudia Leites Luchese*, Julia Menegotto Frick Pavoni, Jordana Corralo Spada, Isabel Cristina Tessaro

    Journal of Renewable Materials, Vol.7, No.3, pp. 235-243, 2019, DOI:10.32604/jrm.2019.00033

    Abstract Corn starch, glycerol and agroindustrial residues were used to produce films by casting. By-products from juice processing, blueberry and jaboticaba in powder with different particle sizes were added in the filmogenic matrix to evaluate its potential as a colorimetric indicator. Blueberry and jaboticaba peels are commonly discarded although contain high amount of important compounds as anthocyanins. These compounds have the ability to color change after immersion in different pH values, demonstrating its potential for the intelligent packaging development. Analyses were performed in a colorimeter after films immersion in different buffer solutions. Visual color changes were More >

  • Open Access

    ARTICLE

    Shape, Color and Texture Based CBIR System Using Fuzzy Logic Classifier

    D. Yuvaraj1, M. Sivaram2, B. Karthikeyan3,*, Jihan Abdulazeez4

    CMC-Computers, Materials & Continua, Vol.59, No.3, pp. 729-739, 2019, DOI:10.32604/cmc.2019.05945

    Abstract The perfect image retrieval and retrieval time are the two major challenges in CBIR systems. To improve the retrieval accuracy, the whole database is searched based on many image characteristics such as color, shape, texture and edge information which leads to more time consumption. This paper presents a new fuzzy based CBIR method, which utilizes colour, shape and texture attributes of the image. Fuzzy rule based system is developed by combining color, shape, and texture feature for enhanced image recovery. In this approach, DWT is used to pull out the texture characteristics and the region More >

  • Open Access

    ARTICLE

    Color Image Steganalysis Based on Residuals of Channel Differences

    Yuhan Kang1, Fenlin Liu1, Chunfang Yang1,*, Xiangyang Luo1, Tingting Zhang2

    CMC-Computers, Materials & Continua, Vol.59, No.1, pp. 315-329, 2019, DOI:10.32604/cmc.2019.05242

    Abstract This study proposes a color image steganalysis algorithm that extracts high-dimensional rich model features from the residuals of channel differences. First, the advantages of features extracted from channel differences are analyzed, and it shown that features extracted in this manner should be able to detect color stego images more effectively. A steganalysis feature extraction method based on channel differences is then proposed, and used to improve two types of typical color image steganalysis features. The improved features are combined with existing color image steganalysis features, and the ensemble classifiers are trained to detect color stego More >

  • Open Access

    ARTICLE

    An Automated Player Detection and Tracking in Basketball Game

    P. K. Santhosh1,*, B. Kaarthick2

    CMC-Computers, Materials & Continua, Vol.58, No.3, pp. 625-639, 2019, DOI:10.32604/cmc.2019.05161

    Abstract Vision-based player recognition is critical in sports applications. Accuracy, efficiency, and Low memory utilization is alluring for ongoing errands, for example, astute communicates and occasion classification. We developed an algorithm that tracks the movements of different players from a video of a basketball game. With their position tracked, we then proceed to map the position of these players onto an image of a basketball court. The purpose of tracking player is to provide the maximum amount of information to basketball coaches and organizations, so that they can better design mechanisms of defence and attack. Overall,… More >

  • Open Access

    ARTICLE

    A Privacy-Preserving Image Retrieval Based on AC-Coefficients and Color Histograms in Cloud Environment

    Zhihua Xia1,*, Lihua Lu1, Tong Qiu1, H. J. Shim1, Xianyi Chen1, Byeungwoo Jeon2

    CMC-Computers, Materials & Continua, Vol.58, No.1, pp. 27-43, 2019, DOI:10.32604/cmc.2019.02688

    Abstract Content based image retrieval (CBIR) techniques have been widely deployed in many applications for seeking the abundant information existed in images. Due to large amounts of storage and computational requirements of CBIR, outsourcing image search work to the cloud provider becomes a very attractive option for many owners with small devices. However, owing to the private content contained in images, directly outsourcing retrieval work to the cloud provider apparently bring about privacy problem, so the images should be protected carefully before outsourcing. This paper presents a secure retrieval scheme for the encrypted images in the… More >

  • Open Access

    ARTICLE

    lncRNA NORAD Contributes to Colorectal Cancer Progression by Inhibition of miR-202-5p

    Jie Zhang*, Xiao-Yan Li*, Ping Hu, Yuan-Sheng Ding*

    Oncology Research, Vol.26, No.9, pp. 1411-1418, 2018, DOI:10.3727/096504018X15190844870055

    Abstract Previous study indicates that long noncoding RNA NORAD could serve as a competing endogenous RNA to pancreatic cancer metastasis. However, its role in colorectal cancer (CRC) needs to be investigated. In the present study, we found that the expression of NORAD was significantly upregulated in CRC tissues. Furthermore, the expression of NORAD was positively related with CRC metastasis and patients’ poor prognosis. Knockdown of NORAD markedly inhibited CRC cell proliferation, migration, and invasion but induced cell apoptosis in vitro. In vivo experiments also indicated an inhibitory effect of NORAD on tumor growth. Mechanistically, we found More >

  • Open Access

    ARTICLE

    MicroRNA-744 Inhibits Cellular Proliferation and Invasion of Colorectal Cancer by Directly Targeting Oncogene Notch1

    Jian Shen, Minzhe Li

    Oncology Research, Vol.26, No.9, pp. 1401-1409, 2018, DOI:10.3727/096504018X15188747585738

    Abstract Accumulated studies have strongly implicated aberrantly expressed microRNAs (miRNAs) in carcinogenesis and cancer progression of various cancers, including colorectal cancer (CRC). Hence, a comprehensive study of miRNAs and their association with CRC may be a promising therapeutic method for patients with this malignancy. MicroRNA-744 (miR-744) is abnormally expressed in several types of human cancer. Thus far, little is known about the expression, biological roles, and exact mechanisms of miR-744 in CRC. Thus, the present study measured the expression level of miR-744 and investigated its roles and associated molecular mechanisms in CRC. This study demonstrated that… More >

  • Open Access

    ARTICLE

    Long Noncoding RNA CCAL Promotes Papillary Thyroid Cancer Progression by Activation of NOTCH1 Pathway

    Ying Ye, Yanan Song, Juhua Zhuang, Saifei He, Jing Ni, Wei Xia

    Oncology Research, Vol.26, No.9, pp. 1383-1390, 2018, DOI:10.3727/096504018X15188340975709

    Abstract Long noncoding RNA CCAL has been reported to promote tumor progression in various human cancers, including hepatocellular carcinoma, osteosarcoma, and colorectal cancer. However, the role of CCAL in papillary thyroid cancer remains largely unknown. In the present study, we found that the expression of CCAL was upregulated in papillary thyroid tumor tissues compared to adjacent normal tissues. Moreover, the expression of CCAL was positively related with papillary thyroid cancer severity and TNM stage and predicated poor prognosis. Besides, we found that knockdown of CCAL significantly inhibited papillary thyroid cancer cell proliferation, migration, and invasion in More >

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