- Water resources management and optimization
- Water-Energy-Food Nexus Studies
- Optimization and Mathematical Programming
- Wastewater Treatment and Reuse
- Process Optimization and Integration
- Toxic Organic Pollutants Impact
- Integrated Energy Systems Optimization
- Hydrology and Watershed Management Studies
- Climate Change Policy and Economics
- Geotechnical Engineering and Soil Stabilization
- Carbon Dioxide Capture Technologies
- Data Quality and Management
- Pharmaceutical and Antibiotic Environmental Impacts
- Fish Ecology and Management Studies
- Climate change and permafrost
- Oil Spill Detection and Mitigation
- CO2 Sequestration and Geologic Interactions
- MicroRNA in disease regulation
- Arctic and Antarctic ice dynamics
- Soil and Water Nutrient Dynamics
- Groundwater flow and contamination studies
- Microbial bioremediation and biosurfactants
- Marine and coastal ecosystems
- RNA modifications and cancer
- Electric Power System Optimization
Alberta Environment and Protected Areas
2024
China University of Geosciences (Beijing)
2021
University of Regina
2008-2020
Tongji University
2019
Applied Science Private University
2010-2013
Type 1 diabetes mellitus (T1DM) is an autoimmune insulin-dependent disease associated with destructive bone homeostasis. Accumulating evidence has proven that miRNAs are widely involved in the regulation of However, whether also regulate osteogenic differentiation marrow mesenchymal stem cells (BMSCs) T1DM mice under exploration. In this study, miRNA microarray was utilized to screen differentially expressed miRNAs, which uncovered miR-214-3p potentially inhibited BMSCs mice. We found high...
Waste management problems are subject to uncertainties presented as intervals, random variables and/or fuzzy sets. During the past 20 years, inexact programming methods have been developed and applied increasingly waste under uncertainty. To obtain a snapshot of these studies, this paper gives review on recent developments, applications, challenges, barriers associated with techniques in supporting management. The results indicate that majority can be categorized two-stage stochastic...
Forecasting of river ice breakup timing is directly related to the local ice-caused flooding management. However, forecasting using k-nearest neighbor (kNN) algorithms limited. Thus, a kNN stacking ensemble learning (KSEL) method was developed and applied dates (BDs) for Athabasca River at Fort McMurray in Canada. The base models with diverse inputs distance functions were their outputs further combined. performance these examined leave-one-out cross validation based on historical BDs...
A regional energy system consists of diverse forms energy. Energy-related issues such as utilization renewable and reduction greenhouse gas (GHG) emission are confronting decision makers. Meanwhile, various uncertainties dynamics the posing difficulties for planning, especially those under multiple stages. In this study, an interval multi-stage stochastic programming systems planning model (IMSP-REM) was developed to support management GHG control uncertainty. The IMSP-REM is a hybrid...