A5068982174- Greenhouse Technology and Climate Control
- Market Dynamics and Volatility
- Computer Graphics and Visualization Techniques
- COVID-19 Pandemic Impacts
- Advanced Materials and Mechanics
- Energy, Environment, and Transportation Policies
- Biochemical effects in animals
- Morinda citrifolia extract uses
- Energy, Environment, Economic Growth
- Financial Risk and Volatility Modeling
- Medicinal Plants and Bioactive Compounds
- Global Political and Economic Relations
- Sparse and Compressive Sensing Techniques
- Plant and Fungal Interactions Research
- Tensor decomposition and applications
- Natural product bioactivities and synthesis
- Chromatography in Natural Products
- Statistical Methods and Inference
- Plant Virus Research Studies
- Environmental Impact and Sustainability
- Plant-based Medicinal Research
- Stochastic Gradient Optimization Techniques
Jilin Agricultural Science and Technology University
2020-2025
University of Arizona
2024
Asia Pacific Institute of Research
2023
Osaka University
2023
University of Glasgow
2022
Adam Smith Institute
2022
Wuhan College
2019
Wenhua College
2019
Development Research Center
2019
University of Bath
2001
Abstract This study investigates the flavour profile of volatile compounds in venison-based prepared food subjected to various reheating methods. Gas chromatography-ion mobility spectrometry (GC-IMS) and electronic nose technology were employed detect analyse characteristic three types venison prefabricated samples, which underwent different treatments. During research, 41 distinct identified from samples. Following normalisation ion peaks statistical analysis techniques, 21 organic (VOCs)...
Abstract Many developing countries are facing the difficulty of choosing between economic growth and energy conservation emission reduction (ECER). China has strengthened implementation ECER by setting environmental accountability as development goal local governments, hoping to have better governance effects. To evaluate actual intervention effect this approach, paper constructs panel data covering 46 from 1995 2014 uses difference-in-differences (DID) method composite control...
Purpose This study aims to investigate how the gold return and its volatility respond COVID-19 pandemic. Design/methodology/approach Stochastic (SV) models are conducted examine response of number new confirmed cases deaths. Findings The results indicate that an increase in change rate infections or fatalities leads heightened prices. Moreover, suggest is more sensitive impacts from high-income countries than by those middle- low-income countries. In addition, asymmetric effect detected...
Abstract The cellulase auxiliary ultrasonic-assisted extraction process of nuciferine from Nelumbo nucifera leaves was optimized by response surface methodology. content measured HPLC, On the basis single factor experiment, ethanol concentration, liquid-solid ratio, and times were selected as independent variables, value, Box-Behnken design adopted in this optimum conditions confirmed. results showed that 10% cellulase, 87% 1:26g/mL solid-liquid 3 25 minutes. 0.343mg/g. rate 0.034% after...
Abstract The cellulase auxiliary ultrasonic-assisted extraction process of salidroside from Rhodiola cretinii was optimized by response surface methodology. content measured HPLC, On the basis single factor experiment, time, quantity cellulase, temperature and ethanol concentrations were selected as independent variables, value, Box-Behnken design adopted in this optimum conditions confirmed. results showed that optimu follows: 29 min, 0.18% cellulose, 43°C, 39% concentration, 4.49 mg/g....
The Nystr\"{o}m method is an effective tool to generate low-rank approximations of large matrices, and it particularly useful for kernel-based learning. To improve the standard approximation, ensemble algorithms compute a mixture which are generated independently based on column resampling. We propose new family algorithms, boosting Nystr\"{o}m, iteratively multiple ``weak'' (each using small number columns) in sequence adaptively - each approximation aims compensate weaknesses its...
An empirical research method for causality verification was proposed by using vector autoregressive VAR model the interaction between economic energy consumption and local export trade activities.Through time series analysis, Granger test carried out on total data of Hubei Province from 1988 to 2017.It found that had a positive causal relationship with change volume passed pulse.The robustness conclusion is tested response function variance decomposition.