Open Access. Powered by Scholars. Published by Universities.®
Public Affairs, Public Policy and Public Administration
- Keyword
-
- Breastfeeding (1)
- Design engineering (1)
- Explosions (1)
- Fatalities (1)
- Genetic algorithms (1)
-
- Health hazards (1)
- Industrial economics (1)
- Maternal and child health (1)
- Mathematical optimization (1)
- Methods (1)
- Occupational safety (1)
- Optimization (1)
- Process controls (1)
- Production management (1)
- Raw materials (1)
- Risk (1)
- Risk assessment (1)
- Risk management (1)
- Safety (1)
- State policy (1)
- Supplemental nutrition assistance policy (1)
Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Influence Of The Inherent Safety Principles On Quantitative Risk In Process Industry: Application Of Genetic Algorithm Process Optimization (Gapo), Mehdi Jahangiri, Abolfazl Moghadasi, Mojtaba Kamalinia, Farid Sadeghianjahromi, Sean Banaee
Influence Of The Inherent Safety Principles On Quantitative Risk In Process Industry: Application Of Genetic Algorithm Process Optimization (Gapo), Mehdi Jahangiri, Abolfazl Moghadasi, Mojtaba Kamalinia, Farid Sadeghianjahromi, Sean Banaee
Community & Environmental Health Faculty Publications
Inherent safety (IS) refers to a set of measures that enhance the safety level of processes and equipment, rendering additional equipment and/or add-ons. The early design phase of processes is suited best for implementation of IS strategies as some of such strategies either are impossible to be implemented at the operation phase or substantially increase costs. The purpose of this study is to present a new approach called genetic algorithm process optimization (GAPO), by which processes can be made inherently safer even at the operation phase. This study simulates the IS principle, assessing its impact on quantitative risk and the …
Data On Breastfeeding And State Policies In The United States, Chun Chen, Hong Xue, Qi Zhang
Data On Breastfeeding And State Policies In The United States, Chun Chen, Hong Xue, Qi Zhang
Community & Environmental Health Faculty Publications
Breastfeeding is critically important to maternal and child health in the United States. Examining the relationship between breastfeeding outcomes and state policies requires multidisciplinary efforts to link data from various sources. This article describes an integrated dataset that was used to understand the relationship between participation in a nutrition assistance program and low-income children's breastfeeding outcomes [1]. This dataset merged public health information from the National Immunization Surveys Data from 2006 to 2016 and matching state policy data from the Correlates of State Policy Project (CSPP), the U.S. Department of Agriculture/Economic Research Services (USDA/ERS) Supplemental Nutrition Assistance Program (SNAP) Policy …