A5102919442- CO2 Reduction Techniques and Catalysts
- FinTech, Crowdfunding, Digital Finance
- Electrocatalysts for Energy Conversion
- Catalytic Processes in Materials Science
- Cybercrime and Law Enforcement Studies
- Intracerebral and Subarachnoid Hemorrhage Research
- Heat Transfer and Boiling Studies
- Currency Recognition and Detection
- Energy Load and Power Forecasting
- Catalysis and Oxidation Reactions
- Geoscience and Mining Technology
- Internet Traffic Analysis and Secure E-voting
- Advanced battery technologies research
- Evaluation Methods in Various Fields
- Nuclear Engineering Thermal-Hydraulics
- Network Security and Intrusion Detection
- Artificial Intelligence in Healthcare
- Electrochemical Analysis and Applications
- Blockchain Technology Applications and Security
- Nuclear reactor physics and engineering
- Advanced Algorithms and Applications
- Anomaly Detection Techniques and Applications
Anhui Normal University
2024-2025
North China Electric Power University
2023-2025
Hainan University
2023-2024
Air Force Engineering University
2024
Peking University
2022
Peking University Cancer Hospital
2022
A network intrusion detection tool can identify and detect potential malicious activities or attacks by monitoring traffic system logs. The data within networks possesses characteristics that include a high degree of feature dimension an unbalanced distribution across categories. Currently, the actual accuracy some models is relatively low. To solve these problems, we propose model based on multi-head attention BiLSTM (Bidirectional Long Short-Term Memory), which introduce different weights...
Electrocatalytic CO2 reduction reaction (CO2RR) to ethanol has been widely researched for potential commercial application. However, it still faces limited selectivity at a large current density. Herein, Mo4+-doped CuS nanosheet-assembled hollow spheres are constructed address this issue. Mo4+ ion doping modifies the local electronic environments and diversifies binding sites of CuS, which increases coverage linear *COL produces bridge *COB subsequent *COL–*COH coupling toward production....
As a critical component of nuclear power units, the direct cooling water system plays key role in overall performance. To maintain economic efficiency, it is necessary to adjust circulating flow rate as conditions change. Understanding how this responds dynamically varying environmental factors—such seawater temperature and tidal levels—is essential for precise control. While previous studies have explored methods such variable frequency control, predictive maintenance, digital twin...
It is challenging to construct non-Cu catalysts toward CO2 electroreduction (CO2ER) ethanol with high selectivity due the difficulty in adjusting active sites for controlling evolution of reaction intermediates. In this work, Sb-doped CeO2 nanospheres are constructed tune intermediates on selective generation. The primary one Sb site and two Ce undergo fluctuations oxidation states during CO2ER, which promotes *CO*OH formation conversion linear *COL further C–C coupling produce ethanol....
Methanol is a valuable liquid C1 product in CO2 electroreduction (CO2ER); however, it hard to achieve high selectivity and large current density simultaneously. In this work, we construct Mn2+-doped VS2 multilayer nanowafers applied flow cell yield methanol as single tackle challenge. Mn doping adjusts the electronic structure of concurrently introduces sulfur vacancies, forming critical *COB intermediate facilitating its sequential hydrogenation methanol. The optimal Mn4.8%-VS2 exhibits...
Background: ITP is more likely to be persistent or chronic in adults, whereas it a self-limiting disease children. Although mortality patient with only slightly higher than the general population, severe bleeding events such as intracranial haemorrhage (ICH) are often considered associated poor prognosis. Bleeding one of important clinical outcomes patients ITP. According previous studies, ICH occurs approximately 1% patients, rate 24.0%-31.2%, and fatal complication (Blood, 2009; Platelets,...
Through thorough investigation and research, it has been determined that commodities possess a certain degree of timeliness, with long production cycles short storage times. Accurately predicting customer demand can effectively reduce costs. This paper proposes an improved model based on ARIMA-LSTM, incorporating data cross-correlation analysis for effective classification. By leveraging the unique characteristics both ARIMA LSTM prediction time series models, is divided into stationary...
Power load forecasting is of great significance in the production and operation activities steel enterprises. Based on existing Bi LSTM power problems gradient vanishing explosion, this paper proposes a method that integrates Prophet algorithm algorithm. On basis Bi-LSTM model, used to solve problem exploding model after using backpropagation algorithm, thereby improving accuracy forecasting. The experimental results show proposed article for has higher than traditional RNN, LSTM,...