A5100334403- Wastewater Treatment and Nitrogen Removal
- Muscle activation and electromyography studies
- Microbial Fuel Cells and Bioremediation
- Stroke Rehabilitation and Recovery
- Biofuel production and bioconversion
- Water Quality Monitoring Technologies
- EEG and Brain-Computer Interfaces
- Water Treatment and Disinfection
- Air Quality Monitoring and Forecasting
- Intelligent Tutoring Systems and Adaptive Learning
- Data Stream Mining Techniques
- Electrochemical sensors and biosensors
- Advanced Sensor and Energy Harvesting Materials
- Machine Learning and ELM
- Nanomaterials and Printing Technologies
- Prosthetics and Rehabilitation Robotics
- Traffic Prediction and Management Techniques
- Advanced Image Processing Techniques
- Odor and Emission Control Technologies
- Constructed Wetlands for Wastewater Treatment
- Hand Gesture Recognition Systems
- Water-Energy-Food Nexus Studies
- Microbial Metabolic Engineering and Bioproduction
- Innovative Microfluidic and Catalytic Techniques Innovation
- Nanomaterials for catalytic reactions
Chongqing Technology and Business University
2019-2025
Fuzhou University
2024
Collaborative Innovation Center of Advanced Microstructures
2024
Nanjing University
2022-2024
State Key Laboratory of Analytical Chemistry for Life Science
2024
Northeastern University
2008-2022
Changsha University of Science and Technology
2013-2022
Chongqing University
2017-2020
Jilin Jianzhu University
2018
Shenyang Center for Disease Control and Prevention
2017
Intrinsically stretchable electronics represent an attractive platform for next-generation implantable devices by reducing the mechanical mismatch and immune responses with biological tissues. Despite extensive efforts, soft electronic often exhibit obvious trade-off between performances deformability because of limitations commonly used compliant materials. Here, we introduce a scalable approach to create intrinsically featuring deployment liquid metal components ultrahigh stretchability up...
Stretchable sweat sensors have become a personalized wearable platform for continuous, noninvasive health monitoring through conformal integration with the human body. Typically, these devices are coupled soft microfluidic systems to control flow during advanced analysis processes. However, implementation of is limited by their high fabrication costs and need skin adhesives block natural perspiration. To overcome limitations, stretchable smart wettable patch has been proposed multiplexed in...
It is widely believed that effective prediction of wastewater treatment results (WTR) conducive to precise control aeration amount in the process (WTP). Conventional biochemical mechanism-driven approaches are highly dependent on complicated and redundant model parameters, resulting low efficiency. Besides, sharp increase business volume requires automatic operation technologies for this purpose. Under background, researchers started introduce idea data mining WTP, order automatically...
Data is the core foundation of intelligent operation and maintenance, but currently, there generally insufficient data for wastewater treatment plants, status systems dynamically evolves with changes in internal external environment. The maintenance plants face difficulties modeling model drift caused by system evolution. In response to this issue, summer winter seasons significant differences temperature, quality, microbial were selected as typical comparison scenarios. mechanism was...
Modern image generation systems can produce high-quality visuals, yet user prompts often contain ambiguities, requiring multiple revisions. Existing methods struggle to address the nuanced needs of non-expert users. We propose Visual Co-Adaptation (VCA), a novel framework that iteratively refines and aligns generated images with preferences. VCA employs fine-tuned language model reinforcement learning multi-turn dialogues for prompt disambiguation. Key components include Incremental...
In the present work, a novel electrochemical sensor was developed for detection of trace cadmium with high sensitivity and selectivity in an easy eco-friendly way. Firstly, glassy carbon electrode (GCE) modified nontoxic sodium carboxymethyl cellulose (CMC) by simple drop-casting method, which applied to detect differential pulse anodic stripping voltammetry (DPASV) solution containing both target bismuth ions, based on quick electro-codeposition these two metal ions surface (CMC-GCE)....
With the increasing public attention on sustainability, conservation of energy and materials has been a general demand for wastewater treatment plants (WWTPs). To meet demand, efficient optimal management decision mechanism are expected to reasonably configure resource materials.In recent years, advanced computational techniques such as neural networks genetic algorithm provided data-driven solutions overcome some industrial problems. They work from perspective statistical learning, mining...
Catalytic degradation of organic pollutants by nanomaterials is an effective way for environmental remediation. The Fenton reaction involving H₂O₂ oxidation catalysed Fe3+ advisable wastewater degradation. Herein, Fe₃O₄/SiO₂ core-shell nanoparticles were prepared as catalyst coprecipitation and sol-gel methods, this used fuchsin in H₂O₂. between Fe₃O₄ proposed to explain the catalytic performance. coating SiO₂ on could dramatically stabilize aqueous solution prevent their oxidation. More...
An efficient continuous-flow nitration process of o-xylene at pilot scale was demonstrated. The effects parameters such as temperature, ratio H2SO4 to HNO3, concentration, flow rate, and residence time on the reaction were studied. Under optimal conditions, yield products reached 94.1%, with a product throughput 800 g/h. main impurities this also studied in detail. Compared batch process, phenolic impurity decreased from 2% 0.1%, which enabled omission alkaline solution washing step thus...