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  • Open Access


    The expressional level of tankyrase-1 gene and its regulation in colorectal cancer in a Saudi population

    Hala Abdulaziz M ALWARTHAN1, Mohammad Saud AL ANAZI1, Narasimha R. PARINE1, Ramesa Shafi BHAT1,*, Ghadah ALAMRO1, Ftoon ALJARBOU1, Sooad K AL-DAIHAN1

    BIOCELL, Vol.43, No.2, pp. 51-58, 2019, DOI:10.32604/biocell.2019.07019

    Abstract Tankyrase1 plays an essential role in cancer progression by regulating telomere length. The study aimed to determine expression of TNKS1 and its regulation in colorectal cancer (CRC) in 20 samples from Saudi patients. mRNA expression of TNKS1 in CRC and paired normal tissues was measured by qRT-PCR. Epigenetic modification of TNKS1 promoter was determined by methylation-specific PCR while somatic mutation was analyzed by Sanger sequencing in exon 10 of the gene. All cancerous and normal tissues expressed TNKS1, but level of expression in CRC tissues was significantly associated with tumor stage though no other parameters; age, gender,… More >

  • Open Access


    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


    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


    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


    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


    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


    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


    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


    Real-Time Visual Tracking with Compact Shape and Color Feature

    Zhenguo Gao1, Shixiong Xia1, Yikun Zhang1, Rui Yao1,*, Jiaqi Zhao1, Qiang Niu1, Haifeng Jiang2

    CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 509-521, 2018, DOI:10.3970/cmc.2018.02634

    Abstract The colour feature is often used in the object tracking. The tracking methods extract the colour features of the object and the background, and distinguish them by a classifier. However, these existing methods simply use the colour information of the target pixels and do not consider the shape feature of the target, so that the description capability of the feature is weak. Moreover, incorporating shape information often leads to large feature dimension, which is not conducive to real-time object tracking. Recently, the emergence of visual tracking methods based on deep learning has also greatly increased… More >

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