A5023892171- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Environmental Impact and Sustainability
- Energy, Environment, Economic Growth
- Video Surveillance and Tracking Methods
- Energy, Environment, and Transportation Policies
- Agriculture Sustainability and Environmental Impact
- Surface Modification and Superhydrophobicity
- High voltage insulation and dielectric phenomena
- Vehicle emissions and performance
- Atmospheric chemistry and aerosols
- Advanced Sensor and Energy Harvesting Materials
- Efficiency Analysis Using DEA
- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Power Transformer Diagnostics and Insulation
- Robotics and Sensor-Based Localization
- High-Voltage Power Transmission Systems
- Hand Gesture Recognition Systems
- Regional Economic and Spatial Analysis
- Robotic Path Planning Algorithms
- Robotics and Automated Systems
- Human Pose and Action Recognition
- Speech Recognition and Synthesis
- Evaluation Methods in Various Fields
Zhejiang University of Finance and Economics
2019-2025
State Grid Corporation of China (China)
2024
Harbin Institute of Technology
2024
Civil Aviation Flight University of China
2022-2023
Gansu Agricultural University
2022-2023
Shanghai Institute of Microsystem and Information Technology
2018-2020
Chinese Academy of Sciences
2016-2020
University of Chinese Academy of Sciences
2016-2020
Shenzhen University
2016-2019
Guangzhou Institute of Geochemistry
2016-2019
Abstract China has long been committing to green transition of energy system alleviate the heavy pollution; however, a quantitative analysis for its impact on air pollution lacking. To fill knowledge gap, this study makes an initial attempt reveal how influences China's energy‐related mercury emissions from both individual sector and supply chain perspectives, by using input‐output (IO)‐structural decomposition structural path analysis. Moreover, aggregated power in original IO tables are...
Rapid economic development and population growth have driven significant greenhouse gas (GHG) emissions from China's crop farming. Understanding specific features of these is crucial for developing effective mitigation strategies. While existing studies primarily focused on accounting GHG at the entire farming system level, a critical gap exists in systematic measurements individual level. This study addresses this by constructing high-resolution provincial crop-specific embodied emission...
Free moving metallic particles are one of the most common defects leading to insulation failures in gas insulated substation (GIS) equipment. The present research is designed diagnose and assess severity levels partial discharge (PD) initiated by free on GIS insulator surface. On a well-established 252 kV experiment platform, long term tests were conducted observe entire development process from its very initiation stage till eventual flashover as applied voltage gradually boosted. Real time...
Converter transformers use oil-pressboard as its main dielectric medium and are operated mainly in AC-DC composite electric field. Creepage discharge is one of the common defects for insulation, especially converter transformers. Oil-pressboard insulation shows distinctive flashover behaviors surface strengths field from that pure AC or DC Compared to conventional power transformers, there remain bigger challenges realize assessment fault diagnosis Adequate knowledge phenomenon...
Recently, the microstate analysis method has been widely used to investigate temporal and spatial dynamics of electroencephalogram (EEG) signals. However, most studies have focused on EEG at resting state, few use study emotional EEG. This paper aims patterns in states, specific neurophysiological significance microstates during emotion cognitive process, further explore feasibility effectiveness applying recognition.
Several recent studies have attempted to autoregressively generate continuous speech representations without discrete tokens by combining diffusion and autoregressive models, yet they often face challenges with excessive computational loads or suboptimal outcomes. In this work, we propose Diffusion Transformer Autoregressive Modeling (DiTAR), a patch-based framework language model transformer. This approach significantly enhances the efficacy of models for reduces demands. DiTAR utilizes...
We introduce Seed-TTS, a family of large-scale autoregressive text-to-speech (TTS) models capable generating speech that is virtually indistinguishable from human speech. Seed-TTS serves as foundation model for generation and excels in in-context learning, achieving performance speaker similarity naturalness matches ground truth both objective subjective evaluations. With fine-tuning, we achieve even higher scores across these metrics. offers superior controllability over various attributes...
Anti-interferon-γ autoantibodies (AIGAs) syndrome is susceptible to disseminated opportunistic infections due increased AIGAs, but its clinical immunological characteristics remain unrecognized. We conducted a prospective cohort study between January 2021 and December 2023, recruiting patients with who were categorized into AIGAs-positive AIGAs-negative groups. Clinical data outcomes documented. A subset of received glucocorticoid treatment, effectiveness was evaluated. total 238 enrolled,...
The degradation of insulation would be accelerated by the partial discharge (PD) incurred an internal air-gap defect in oil-pressboard insulation. At different bridge rectifier locations converter transformer, typically endures various ratios combined ac and positive dc voltages. Therefore, dielectric status transformer is closely correlated to It practically significant conduct study correlation between characteristics ac-dc ratios. same time, it enhances diagnosis faults transformers....
Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) can detect an abrupt change that was undetected by (RESTREND), but it is usually combined with the Global Inventory for Mapping Modeling Studies (GIMMS) Normalized Difference Vegetation Index (NDVI), which cannot detailed vegetation changes in small areas. Hence, we used Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI (MOD-TR) to analyze dynamic of Pearl River Delta region (PRD) this study. To choose most suitable...
The preparation methods of the superhydrophobic surface play an important role in its application, but most existing are complicated operation, high cost, and polluting to environment. In order find a simple, rapid, low-cost, nonenvironmentally method surface, this paper used liquid silicone rubber as carrier. Before was nearly cured, it evenly covered with layer silicon dioxide powder, then 5 N weight compact powder on so that quickly formed surface. wettability, bouncing performance,...
The ability to accurately estimate and identify the hotspots (top influencing factors) of freight embodied carbon dioxide (CO2) emissions is essential for introducing efficient control strategies. However, most existing studies ignore life cycle secondary activities CO2 in transportation. This research gap hinders policy makers from having a more complete understanding hotspots, which should be focused upon efficiently reduce emissions. Hence, generalized framework estimation hotspot...