PREDICTING FOODBORNE DISEASE OUTBREAKS WITH FOOD SAFETY CERTIFICATIONS: ECONOMETRIC AND MACHINE LEARNING ANALYSES

Predicting Foodborne Disease Outbreaks with Food Safety Certifications: Econometric and Machine Learning Analyses

Since the late 1990s, food safety certification has emerged as read more a prominent and influential regulatory mechanism in both the private and public spheres of the contemporary agri-food system.Food safety standards protect consumers from foodborne illnesses and help producers avoid the massive economic losses associated with food safety breach

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STAFFING MECHANISM TRIPLE HELIX

The article discusses the problems of organization of scientific Cleaners and production activities with the aim of import substitution as a systemic problem of the national economy.The authors believe that the most appropriate theoretical basis is the mechanism of the triple helix, with some adaptation to modern conditions.This tool can make only

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Fatigue life prediction of welded box girder structures

The fatigue assessments for boom girders of a concrete pump truck, which is typically a welded box girder structure, were investigated in this study.Finite element analysis were conducted using shell and beam elements to obtain the stress histories of the boom girders.Field tests were performed to baby toys verify the finite element model.Then, the

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Dwarf Mongoose Optimization with Machine-Learning-Driven Ransomware Detection in Internet of Things Environment

The internet of things (ransomware refers to a type of malware) is the concept of connecting devices and objects of all types on the internet.IoT cybersecurity is the task of protecting ecosystems and IoT gadgets from Hemp Wicks cyber threats.Currently, ransomware is a serious threat challenging the computing environment, which needs instant attent

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