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  • 1
    Online Resource
    Online Resource
    Walter de Gruyter GmbH ; 2020
    In:  Open Computer Science Vol. 10, No. 1 ( 2020-11-28), p. 459-460
    In: Open Computer Science, Walter de Gruyter GmbH, Vol. 10, No. 1 ( 2020-11-28), p. 459-460
    Abstract: Blockchain plays a significant role in providing security during data handling operations and defines how trusted transactions can be carried out addressing the solution for internet facing vulnerability problems. Blockchain solves the security fault line among AI and IoT, where most of the IoT devices are connected to each other through public networks. This special issue aims to publish a collection of high quality research articles in the area of blockchain, IoT and Machine Learning.
    Type of Medium: Online Resource
    ISSN: 2299-1093
    Language: Unknown
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2020
    detail.hit.zdb_id: 2816007-1
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  • 2
    Online Resource
    Online Resource
    Walter de Gruyter GmbH ; 2021
    In:  Open Computer Science Vol. 11, No. 1 ( 2021-01-01), p. 330-336
    In: Open Computer Science, Walter de Gruyter GmbH, Vol. 11, No. 1 ( 2021-01-01), p. 330-336
    Abstract: The advancement in computer science technology has led to some serious concerns about the piracy and copyright of digital content. Digital watermarking technique is widely used for copyright protection and other similar applications. In this paper, a technique for digital watermarking based on Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Grasshopper Optimization Algorithm (GOA) is proposed. The method computes the DWT of the cover image to obtain the sub-components of the image. The subcomponent is converted to frequency domain using DCT. The challenge is to find the optimal scaling factor to be used for watermarking. The authors have designed a GOA based technique that finds the optimized scaling factor and the coefficient for embedding the watermark. GOA makes the watermark undetectable and is invisible in the cover image. The watermark image is embedded in the cover image using these coefficients. The extraction of watermark from the cover image is done by using inverse DCT and DWT. The proposed method is compared with the other state of the art methods. The effectiveness of the proposed method is computed using Peak Signal to Noise Ratio (PSNR), Normalized Cross Correlation (NCC) and Image Fidelity (IF). The proposed method outperforms the other methods and can be effectively used for practical digital watermarking.
    Type of Medium: Online Resource
    ISSN: 2299-1093
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2021
    detail.hit.zdb_id: 2816007-1
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  • 3
    In: Turkish Journal of Biochemistry, Walter de Gruyter GmbH, Vol. 44, No. 3 ( 2019-06-01), p. 332-343
    Abstract: Indian fish industry produces a staggering amount of waste every year part of which is dumped as landfill leading to pollution. Objective This study aims to extract collagen from fish skin, a major component of this waste, hydrolyze it and use the hydrolysate as emulsifiers to increase the shelf life of food products. Materials and methods Collagen was purified from the skin of Catfish, Mullet and Indian Salmon were characterized through infrared and diffraction studies. The samples were hydrolyzed enzymatically. The hydrolysates were assayed for emulsifying, foam stabilizing and hemolytic properties. Results The samples displayed an electrophoretic and infrared spectral profile corresponding to that of collagen type I. X-ray diffraction patterns revealed the presence of triple helix and traces of phosphate. The hydrolysates (6 kDa) exhibited the highest emulsion at 2.74±0.20 m 2 /g (for 57.00±0.50 min) and foam stability in the range of 75–78%, respectively. The hydrolysates were able to stabilize drug and food formulations successfully and two of the samples exhibited less than 3% toxicity as determined through hemolytic assay. Conclusion Collagen hydrolysates from fish skin, a common fish industry waste, were found to be bioactive and non-toxic making them suitable replacements for synthetic emulsifiers.
    Type of Medium: Online Resource
    ISSN: 1303-829X , 0250-4685
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2019
    detail.hit.zdb_id: 2244112-8
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  • 4
    Online Resource
    Online Resource
    Walter de Gruyter GmbH ; 2018
    In:  Journal of Integrative Bioinformatics Vol. 15, No. 3 ( 2018-09-25)
    In: Journal of Integrative Bioinformatics, Walter de Gruyter GmbH, Vol. 15, No. 3 ( 2018-09-25)
    Abstract: Metabolic adaptation to the host environment has been recognized as an essential mechanism of pathogenicity and the growth of Mycobacterium tuberculosis ( Mtb ) in the lungs for decades. The Mtb uses CO 2 as a source of carbon during the dormant or non-replicative state. However, there is a lack of biochemical knowledge of its metabolic networks. In this study, we investigated the CO 2 fixation pathways (such as ko00710 and ko00720) most likely involved in the energy production and conversion of CO 2 in Mtb . Extensive pathway evaluation of 23 completely sequenced strains of Mtb confirmed the existence of a complete list of genes encoding the relevant enzymes of the reductive tricarboxylic acid (rTCA) cycle. This provides the evidence that an rTCA cycle may function to fix CO 2 in this bacterium. We also proposed that as CO 2 is plentiful in the lungs, inhibition of CO 2 fixation pathways (by targeting the relevant CO 2 fixation enzymes) could be used in the expansion of new drugs against the dormant Mtb . In support of the suggested hypothesis, the CO 2 fixation enzymes were confirmed as a potential drug target by analyzing a number of attributes necessary to be a good bacterial target.
    Type of Medium: Online Resource
    ISSN: 1613-4516
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2018
    detail.hit.zdb_id: 2147212-9
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