Pandemic risks, such as Covid-19, are difficult to insure as they are characterized by multiple factor risks Baby Toys and losses and involve different types of businesses and people simultaneously.The scarcity of time series and statistical data prevents insurers from developing correct pricing.We propose a model of catastrophe risk with Non-Damag
Several ongoing international multidisciplinary projects have examined linkages between environmental chemicals and health.In contrast to Arctic regions, information for the Southern Hemisphere is scarce.Because of the inherent practice of pesticide utilisation and mismanagement, food security is potentially threatened.The most vulnerable period in
Student attrition poses significant societal and economic challenges, leading to unemployment, lower earnings, and other adverse outcomes for individuals and communities.To address this, predictive systems leveraging machine learning and big data aim to identify at-risk students early and intervene effectively.This study leverages big data and mach
Nastaran Maghbouli,1,2 Mahboobeh Khabaz Mafinejad,3 Saeed Pourhassan4 1Department of Physical Medicine and Rehabilitation, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; 2Mentoring Office, Faculty Education Deputy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; 3Department of Medical Education, Ed