While the majority of companies anticipated the negative and severe impacts of the COVID-
19 pandemic on the supply chains (SC), most of them lacked guidance on how to model …

Three classes of algorithms to learn the structure of Bayesian networks from data are
common in the literature: constraint-based algorithms, which use conditional independence …

Finding ways to improve the service quality and consequently attract more passengers is a
major concern for public transit officials worldwide. Given the fact that there is a glaring …

Patient experience is a key quality indicator driven by various patient-and provider-related
factors in healthcare systems. While several studies provided different insights on patient …

The study on gender disparity in service quality (SQ) interrelations of public transit can
provide gender-specific improvement measures to transit officials in attracting new …

The literature groups algorithms to learn the structure of Bayesian networks from data in
three separate classes: constraint-based algorithms, which use conditional independence …

Abstract Service Quality (SQ) in Public Transport (PT) has been a crucial aspect to improve
for years because of its strong influence on user satisfaction and its capacity to attract new …

As the COVID-19 pandemic is spreading around the world, increasing evidence highlights
the role of cardiometabolic risk factors in determining the susceptibility to the disease. The …

Medical errors pose high risks to patients. Several organizational factors may impact the
high rate of medical errors in complex and dynamic healthcare systems. However, limited …

Most of fresh tomatoes sold in the United States (US) are grown using protected agriculture.
The risk of contamination and severe disease outbreaks in humans due to foodborne …