A5048175627- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Animal Ecology and Behavior Studies
- Customer churn and segmentation
- Consumer Market Behavior and Pricing
- Imbalanced Data Classification Techniques
- Soil Carbon and Nitrogen Dynamics
- Soil Geostatistics and Mapping
- Recommender Systems and Techniques
- Stock Market Forecasting Methods
- Food Waste Reduction and Sustainability
- Municipal Solid Waste Management
- Energy and Environment Impacts
- Data Mining Algorithms and Applications
- Digital Marketing and Social Media
- Supply Chain Resilience and Risk Management
- Recycling and Waste Management Techniques
- Microbial Community Ecology and Physiology
- Complex Network Analysis Techniques
- Risk and Safety Analysis
- Soil erosion and sediment transport
- Caching and Content Delivery
- Rangeland Management and Livestock Ecology
- Quality Function Deployment in Product Design
- COVID-19 Pandemic Impacts
Beijing University of Chemical Technology
2021-2025
Inner Mongolia University
2019-2022
Lanzhou University
2022
Institute of Botany
2019-2020
Chinese Academy of Sciences
2019-2020
Natural resources (NR), play a significant role in determining the strength of countries' economies. Still, at same time, NR is accompanied by concerns about its impact on environment. The accelerated economic growth and fast urbanization have increased consumption Gulf Cooperation Council (GCC) countries, which turn leads to fears negative Therefore, this work investigates NR, represented total natural resource rents (NRR), energy (EC), human capital (HC), urbanization, GDP ecological...
Biotic mechanisms associated with species diversity are expected to stabilize communities in theoretical and experimental studies but may be difficult detect natural exposed large environmental variation. We investigated biotic stability a multi-site study across Inner Mongolian grassland characterized by spatial variations richness composition temporal fluctuations precipitation. used new additive-partitioning method separate synchrony population dynamics within into different...
In recent years, with the development of machine learning and big data technology, user has become an important element in production process enterprises. For today’s e‐commerce platforms, deep mining user’s purchase behavior is helpful to understand preferences accurately recommend products that meet expectations, which can not only improve satisfaction but also reduce platform marketing cost. To identify value online purchasing on platform, this paper uses improved RFM model extract...
Abstract. Microbial stoichiometry and its potential driving factors play crucial roles in understanding the balance of chemical elements ecological interactions nutrient limitations along aridity gradient. However, little is known about variation these features gradient due to lack comprehensive field investigations. Additionally, previous studies focused on topsoil (0–10 or 0–20 cm); however, minimum sampling depth for could impact results vertical distribution microbial stoichiometry. In...
As the largest producing country of municipal solid waste (MSW) around world, China is always challenged by a lower utilization rate MSW due to lack smart forecasting strategy. This paper mainly aims construct an effective prediction model handle this problem using machine learning techniques. Based on empirical analysis provincial panel data from 2008 2019 in China, we find that Deep Neural Network (DNN) performs best among all models. Additionally, introduce SHapley Additive exPlanation...
Extending knowledge on ecosystem stability to larger spatial scales is urgently needed because present local-scale studies are generally ineffective in guiding management and conservation decisions of an entire region with diverse plant communities. We investigated productivity across hierarchical levels organization analyzed impacts dominant species, species diversity, climatic factors using a multisite survey Inner Mongolian grassland. found that regional distant local communities was...
Existing studies have made a great endeavor in predicting users’ potential interests items by modeling user preferences and item characteristics. As an important indicator of satisfaction loyalty, repeat purchase behavior is promising perspective to extract insightful information for community e-commerce. However, the repeated behaviors users not yet been thoroughly studied. To fill this research gap from improve process generation candidate recommended proposed novel approach called ReRec...
Abstract. Microbial stoichiometry and its driving factors play crucial roles in understanding the balance of chemical elements ecological interactions nutrient limitations along aridity gradients. However, little is known about variation these features gradients due to lack comprehensive field investigations. Additionally, previous studies focused on surface soil (0–10 or 0–20 cm); however, minimum sampling depth for could impact results vertical distribution microbial stoichiometry. In...
It is reported that the number of online payment users in China has reached 854 million; with emergence community e-commerce platforms, trend integration and social applications increasingly intense. Community not a mature sound comprehensive fewer categories low brand value. To effectively retain fully explore customer value become an important challenge for operators. Given above problems, this paper uses data-driven method to study prediction customers' repurchase behaviour. The main...
It is well-known that data sparsity and cold start are two of the open problems in recommendation system research. Numerous studies have been dedicated to dealing with those problems. Among these, a method introducing user context information could effectively solve problem improve accuracy algorithms. This study proposed novel approach called IT-PMF (Implicit Trust-Probabilistic Matrix Factorization) based on implicit trust, which consists local trust relationships in-group membership. The...
Compared with typical B2C (Business to Customer) e-commerce firms (Wal-Mart, Amazon, etc.), the community platform is an O2O (online offline) business marketing surrounding residents. Operators need verify who can be converted loyal buyers and then target them reduce costs increase return on investment (ROI). This paper develops a dynamic data-driven framework for predicting whether customers will make repeat purchases within specific time in near future. To this end, we propose solution...
Biotic mechanisms associated with species diversity are expected to stabilize communities in theoretical and experimental studies but may be difficult detect natural exposed large environmental variation. We investigated biotic stability a multi-site study across Inner Mongolian grassland characterized by spatial variations richness composition temporal fluctuations precipitation. used new additive-partitioning method separate synchrony population dynamics within into different...
Abstract There is an urgent need to extend knowledge on ecosystem temporal stability larger spatial scales because presently available local-scale studies generally do not provide effective guide for management and conservation decisions at the level of entire region with diverse plant communities. We investigated biomass production across hierarchical levels community organization analyzed impacts dominant species, species diversity climatic factors using a multi-site survey Inner Mongolian...