Shaofang Nie

TL;DR: In this article, an interval-parameter multi-stage stochastic linear programming (IMSLP) method has been developed for water resources decision making under uncertainty, where penalties are exercised with recourse against any infeasibility, which permits in-depth analyses of various policy scenarios that are associated with different levels of economic consequences when the promised water allocation targets are violated.

TL;DR: Data demonstrate that Treg cells serve to protect against adverse ventricular remodeling and contribute to improve cardiac function after myocardial infarction via inhibition of inflammation and direct protection of cardiomyocytes.

TL;DR: In this article, an inexact two-stage chance-constrained linear programming (ITCLP) method is developed for planning waste management systems, which can tackle uncertainties presented as both probability distributions and discrete intervals.

TL;DR: The inexact multistage stochastic integer programming (IMSIP) method can help water resources managers to identify desired system designs against water shortage and for flood control with maximized economic benefit and minimized system- failure risk.

TL;DR: An interval-fuzzy multistage programming (IFMP) method is developed for water resources management under uncertainty by allowing uncertainties presented as discrete intervals, fuzzy sets, and probability distributions to be effectively incorporated within its optimization framework.