The U.S. Environmental Protection Agency announced proposed Toxic Substances Control Act New Chemicals Collaborative Research Program. EPA posted draft document entitled Modernizing the Process and Bringing Innovative Science to Evaluate New Chemicals Under TSCA.
This quarterly newsletter provides essential updates on litigation, regulatory, legislative, and other notable developments involving chemicals of concern to business.
This quarterly newsletter provides essential updates on litigation, regulatory, legislative, and other notable developments involving chemicals of concern to business.
Project progress is an apprehension for every project, as it indicates how the project is likely to meet the associated milestones. Utilizing collected data from archived projects can assist managers to envisage project progress. By leveraging the power of data analytics, this research attempts to highlight data trends based on data collected from 279 infrastructure projects in the UAE. Specifically, this research rigorously analyses the relationships between project budget, duration, and progress using K-means clustering techniques and hypothesis testing. We then provide predictive models using Autoregressive Integrated Moving Average - ARIMA and Multivariate regression models that allow managers to predict with a 99.15% accuracy the monthly progress of an infrastructure project over the next 3 months. This research paper provides project managers with a comprehensive framework that combines data analytics techniques with agility practices to predict short term project progress in ord
EPA proposed Toxic Substances Control Act TSCA New Chemicals Collaborative Research Program, with EPA proposing draft document on Modernizing the Process and Bringing Innovative Science to Evaluate New Chemicals Under TSCA.