Assessing the economic and environmental performance of a closed-loop supply chain for waste tires: an industrial case study.

Recovery strategies for end-of-life (EoL) and end-of-use (EoU) products, such as reuse, remanufacturing, and recycling, present opportunities to enhance profitability and lower emissions while fostering new business prospects. However, significant uncertainties and stochasticity affect the quantity and quality of returned waste tires, costs associated with used tires and the retreading process, and the selling prices driven by second-hand market dynamics. This paper investigates the economic and environmental performance of a closed-loop supply chain (CLSC) for waste tire retreading and recycling considering the impact of these uncertainties using a Monte Carlo simulation-based methodology.

Forecasting the effects of municipal solid plastic waste generation and streaming using system dynamics: A case study in Dubai.

To effectively manage municipal solid plastic waste (MSPW), municipalities need to select an appropriate combination of policies and technologies. Numerous policies and technologies are inputs for this selection problem, whereas decision-makers pursue several economic and environmental outcomes. The MSPW flow-controlling variables serve as an intermediary between the inputs and outputs of this selection problem.

Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma.

Background: Malignant brain tumor diseases exhibit differences within molecular features depending on the patient's age.

Methods: In this work, we use gene mutation data from public resources to explore age specifics about glioma. We use both an explainable clustering as well as classification approach to find and interpret age-based differences in brain tumor diseases.