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    The Role of Blockchain Technology in Enhancing Security Management in the Supply Chain
    (Springer Science and Business Media Deutschland GmbH, 2022) Chabani, Zakariya ; Chabani, Widad
    This study aims to analyze the role of blockchain technology in enhancing security management in supply-chain management. The information was collected from various sources, organized into two sets of variables for privacy and security cases, and analyzed using EViews software. Data analysis was done by performing three tests: correlation, cross-correlation, and Granger’s causality test. The findings revealed a correlation between the use of blockchain technology in the supply chain and security and privacy complaints among organizations and individuals. It also revealed a unidirectional causality between security concerns and the degree of application of blockchain technology in the supply chain. The paper represents one of the very few empirical studies that have been done about the subject. The paper is expected to change the public’s understanding of blockchain technology related to security and privacy, two of the essential aspects of supply-chain management in contemporary corporate society. The main limitation of this study comes in the form of a lack of readily available data. Several data sources had to be used, including existing literature and statistics from reputed sites like Statista, to ensure sufficient information was collected to facilitate the study’s key objectives successfully. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    Application of Higher-Order Ordinary Differential Equation Model in Financial Investment Stock Price Forecast
    (Sciendo, 2022) Zhang, Liqin ; Tian, Xiaojing ; Chabani, Zakariya
    In order to improve the efficiency of dynamic system prediction modelling, this paper proposes a predictive model based on high-order normal differential equations to obtain an explicit model. The high-order constant differential equation model is reduced, and the numerical method is used to solve the predictive value. The results show that the method achieves the synchronisation of model establishment and parameter optimisation, in addition to greatly enhancing the modelling efficiency. © 2021 Zhang et al., published by Sciendo.
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    Measurement of antioxidant capacity of meat and meat products: Methods and applications
    (MDPI AG, 2021-07-01) Echegaray, Noemí ; Pateiro, Mirian ; Munekata, Paulo E. S. ; Lorenzo, José M. ; Chabani, Zakariya ; Farag, Mohamed A. ; Domínguez, Rubén
    At present, a wide variety of analytical methods is available to measure antioxidant capacity. However, this great diversity is not reflected in the analysis of meat and meat products, as there are a limited number of studies on determining this parameter in this complex food matrix. Despite this, and due to the interest in antioxidants that prevent oxidation reactions, the identification of antioxidants in meat and meat products is of special importance to the meat industry. For this reason, this review compiled the main antioxidant capacity assays employed in meat and meat products, to date, describing their foundations, and showing both their advantages and limitations. This review also looked at the different applications of antioxidant properties in meat and meat products. In this sense, the suitability of using these methodologies has been demonstrated in different investigations. © 2021 by the authors.Licensee MDPI, Basel, Switzerland.