A5023070857- Water resources management and optimization
- Water-Energy-Food Nexus Studies
- Optimization and Mathematical Programming
- Process Optimization and Integration
- Hydrology and Watershed Management Studies
- Integrated Energy Systems Optimization
- Toxic Organic Pollutants Impact
- Wastewater Treatment and Reuse
- Soil and Water Nutrient Dynamics
- Pharmaceutical and Antibiotic Environmental Impacts
- Groundwater flow and contamination studies
- Municipal Solid Waste Management
- Arctic and Antarctic ice dynamics
- Carbon Dioxide Capture Technologies
- Data Quality and Management
- RNA modifications and cancer
- Climate change and permafrost
- Climate Change Policy and Economics
- Marine and coastal ecosystems
- Global Energy Security and Policy
- Fish Ecology and Management Studies
- Grouting, Rheology, and Soil Mechanics
- Geotechnical Engineering and Analysis
- Microbial bioremediation and biosurfactants
- Hydrological Forecasting Using AI
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...