A5044894434- Solar-Powered Water Purification Methods
- Solar Thermal and Photovoltaic Systems
- Advanced Combustion Engine Technologies
- Combustion and flame dynamics
- Membrane Separation Technologies
- Surface Modification and Superhydrophobicity
- Thermal Radiation and Cooling Technologies
- Radioactive element chemistry and processing
- Web Data Mining and Analysis
- Prosthetics and Rehabilitation Robotics
- Muscle activation and electromyography studies
- Advanced Graph Neural Networks
- Groundwater flow and contamination studies
- Image Retrieval and Classification Techniques
- TiO2 Photocatalysis and Solar Cells
- Data Management and Algorithms
- Analytical Chemistry and Sensors
- Impact of Light on Environment and Health
- Physical Activity and Health
- Therapeutic Uses of Natural Elements
- Porphyrin Metabolism and Disorders
- Islanding Detection in Power Systems
- Photovoltaic System Optimization Techniques
- Smart Grid and Power Systems
- Space Satellite Systems and Control
Central South University
2023-2025
National Administration of Surveying, Mapping and Geoinformation of China
2023-2025
Ministry of Natural Resources
2023-2025
Shanxi Medical University
2025
Beihang University
2025
Huazhong University of Science and Technology
2017-2024
Jinzhou Medical University
2024
Sun Yat-sen University
2019-2021
Northwestern Polytechnical University
2016
Abstract The integration of solar‐driven interfacial evaporation and electricity co‐generation is considered a promising approach to simultaneously alleviate freshwater scarcity the energy crisis. However, affected by intermittent solar irradiation/uncontrollable weather, overall performance in real world greatly reduced. Herein, inspired antifreeze proteins beetles that survive extreme climates, all‐weather evaporators with sandwich structure are designed. top bottom layers composed MnO 2...
The integration of renewable solar energy-driven interfacial evaporation and photocatalysis has recently emerged as one the most promising technologies for simultaneous freshwater production pollutant removal. However, construction an advanced integrated system with merit a fast supply water molecules remains challenging efficient solar-driven photocatalytic performance. Herein, inspired by transpiration plants, we fabricate biomimetic, vertically channeled polypyrrole/foam-like carbon...
Solar-driven interfacial evaporation provides a promising pathway for sustainable freshwater and energy generation. However, developing highly efficient photothermal photocatalytic nanomaterials is challenging. Herein, substoichiometric molybdenum oxide (MoO3–x) nanoparticles are synthesized via step-by-step reduction treatment of l-cysteine under mild conditions simultaneous conversion reactions. The MoO3–x low degree decorated on hydrophilic cotton cloth to prepare MCML evaporator toward...
Harvesting solar energy in an effective manner for steam and electricity generation is a promising technique to simultaneously cope with the water crises. However, construction of efficient easy scale‐up photothermal materials cogeneration remains challenging. Herein, we report facile cost‐effective strategy prepare MnO 2 ‐decorated cotton cloth (MC x ). The wide adsorption spectrum excellent conversion ability situ‐formed nanoparticles make MC be advanced materials. Consequently, hybrid...
Converting plastics into functional carbonaceous materials for solar energy conversion and storage has emerged as a prospective solution to concurrently advanced waste upcycling exploitation. However, synthesizing efficient carbon-based photothermal with well-defined shapes from remains challenging. Herein, we propose metal–organic framework-derived carbonization strategy upcycle poly(ethylene terephthalate) porous carbon cuboid (PCC) interfacial solar-driven water–thermoelectricity...
Map annotation interpretation is crucial for geographic information extraction and intelligent map analysis. This study addresses the challenges associated with interpreting Chinese annotations, specifically visual complexity data scarcity issues, by proposing a hybrid intelligence-based multi-source unstructured method (HI-CMAIM). Firstly, leveraging expert knowledge in an innovative way, we constructed high-quality knowledge-based dataset (EKMAD), which significantly enhanced diversity...
We propose a cost-effective approach to construct 3D biodegradable foams by combining melt blending and surface coating, which show high performance in simultaneous solar-vapor conversion thermoelectricity generation.
Abstract Robot-assisted isokinetic training has been widely adopted for knee rehabilitation. However, existing rehabilitation facilities are often heavy, bulky, and extremely energy-consuming, which limits the opportunities only at designated hospitals. In this study, we introduce a highly integrated lightweight (52 kg) robot that can provide home-based without external power. By integrating motor, torque/angle sensors, control circuit, energy regeneration circuit into single driver module,...
Physical urban boundaries (PUBs) are basic geographic information data for defining the spatial extent of landscapes with non-agricultural land and economic activities. Accurately mapping PUBs provides a spatiotemporal database dynamic monitoring, territorial planning, ecological environment protection. However, traditional extraction methods often have problems, such as subjective parameter settings inconsistent cartographic scales, making it difficult to identify objectively accurately. To...
In this paper, we study the problem of personalized product search under streaming scenarios. We address by proposing a Dynamic Bayesian Metric Learning model, abbreviated as DBML, which can collaboratively track evolutions latent semantic representations different categories entities (i.e., users, products and words) over time in joint metric space. particular, unlike previous work using inner-product to model affinities between entities, our DBML is novel probabilistic learning approach...
Trauma is a prevalent issue in public health, where individuals who experience physical injuries are also at risk of compromised mental health. Psychological resilience considered positive indicator that can predict the prognosis trauma patients throughout their traumatic experiences. Currently, there lack tools China for measuring psychological patients. The aim this study was to translate and cross-culturally adapt Resiliency Scale (tRS-18) into Chinese test its reliability validity China....
The task of personalized product search aims at retrieving a ranked list products given user’s input query and his/her purchase history. To address this task, we propose the PSAM model, Personalized, Sequential, Attentive Metric-aware (PSAM) that learns semantic representations three different categories entities, i.e., users, queries, products, based on user sequential historical data corresponding queries. Specifically, query-based attentive LSTM (QA-LSTM) model an attention mechanism are...
The integration of freshwater and electricity cogeneration through photothermal effect is regarded as a new promising strategy for high-efficiency solar energy utilization. However, the central issue design low-cost, flexible materials to efficiently utilize energy. Herein, MnO/C nanoparticle-based evaporator constructed realize simultaneously interfacial evaporation thermoelectricity generation. nanoparticle facilely fabricated by pyrolysis Mn-MOF, which synthesized from discarded...
In recent years, because a large number of distributed generations(DGs) and flexible load are connected at the level distribution network, there new adjustable units for active network loop closing control. At same time, wide application synchronous phasor measurement unit(PMU) broadens dynamic monitoring range providing more reliable data source Based on this, control method based PMU is proposed in this paper. Firstly, utilizes high-accuracy operating to judge condition network. The...