A5069208085- Market Dynamics and Volatility
- Energy Load and Power Forecasting
- Stock Market Forecasting Methods
- Thyroid and Parathyroid Surgery
- Thyroid Cancer Diagnosis and Treatment
- Global Financial Crisis and Policies
- Complex Systems and Time Series Analysis
- Energy, Environment, Economic Growth
- Fault Detection and Control Systems
- Spectroscopy and Chemometric Analyses
- Mineral Processing and Grinding
- Gas Sensing Nanomaterials and Sensors
- Analytical Chemistry and Sensors
- Advanced Chemical Sensor Technologies
- E-commerce and Technology Innovations
- Banking stability, regulation, efficiency
Hohai University
2024
University of Science and Technology Beijing
2023
Guangxi Normal University
2023
Hangzhou Normal University
2023
Qingdao University
2021-2022
Affiliated Hospital of Qingdao University
2021-2022
Second Affiliated Hospital of Jilin University
2021
The choice of the most appropriate therapeutic approach for a diagnosed papillary thyroid microcarcinoma (PTMC) remains controversial. present study aimed to evaluate efficacy microwave ablation (MWA) unifocal PTMC with diameter ≤0.6 cm. A total 63 consecutive patients treated MWA were studied retrospectively. was performed using hydrodissection technique and multidimensional fixed-needle principle. We analyzed absorption area evaluated prognosis over follow-up period 24 months. In addition,...
In order to respond the new situation and challenges of global digitalization economy, promote development digital economy practice great ideal common prosperity socialism, Party's twenty major reports require taking as engine drive rural economic development, realize transformation from traditional agricultural comprehensively deepen revitalization in era. With information network carrier commercial trade core, integrates social natural resources a whole promotes innovative reform economy....
To evaluate the safety and efficacy of microwave ablation (MWA) versus repeat surgery for treating metastatic lymph nodes (MLNs) in papillary thyroid carcinoma (PTC).Between July 2017 October 2020, 67 patients were enrolled this retrospective study. 19 48 underwent MWA surgery, respectively. The primary secondary endpoints recurrence-free survival complication rates, largest diameter, volume reduction ratio (VRR) analyzed before after MWA. effects different powers on VRR investigated. Pre...
The long short‐term memory (LSTM) recurrent neural network algorithm in deep learning has demonstrated significant superiority predicting the realized volatility (RV) of crude oil prices. However, there is no robust and consistent conclusion regarding handling microstructural noise from high‐frequency data during prediction process. Therefore, this study utilizes six commonly used decomposition methods, as documented literature, to address issue decompose RV series Chinese futures....
This study proposes a new VMD-ICEEMDAN-LSTM model, that combines secondary decomposition with long short-term memory neural networks (LSTM) to forecast realized volatility (RV) of Chinese crude oil futures. First, RV sequence is decomposed into sub-components and residuals using variational mode (VMD). Then, the improved complete ensemble empirical adaptive noise (ICEEMDAN) applied perform on residuals. Finally, LSTM was used all components, then combine forecasting results obtain our final...
To monitor non-stationary industrial processes, a stationary feature extract method is proposed, which can be regarded as nonlinear version of traditional subspace analysis. enhance extraction, the linear transformation in analysis replaced by an autoencoder. features, additional term introduced into loss function autoencoder, measures consistency distributions over different time periods. The convex hull based on features used to construct monitoring statistic for alarm abnormal working...