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Background. Big data and data analysis methods and models are important tools in food security (FS) studies for gap analysis and preparation of appropriate analytical frameworks. These innovations necessitate the development of novel methods for collecting, storing, processing, and extracting data. Methodology. The primary goal of this study was to conduct a critical review of agricultural big data and methods and models used for FS studies published in peer-reviewed journals since 2010. Approximately 130 articles were selected for full content review after the pre-screening process. Results. ...
A conceptual analysis of learned helplessness in renal dialysis patients to increase knowledge of this psychological phenomenon in the setting of renal nursing.
/PRNewswire/ -- GoodFirms, the universally renowned research, ratings, and reviews platform, recently announced the latest list of Best Accounts Payable...
/PRNewswire/ -- The "Global Graph Database Market Size, Share & Industry Trends Analysis Report By Type, By Vertical, By Component, By Deployment Type, By...