- Electrical and Bioimpedance Tomography
- Innovative Microfluidic and Catalytic Techniques Innovation
- Body Composition Measurement Techniques
- Innovative Energy Harvesting Technologies
- Advanced Sensor and Energy Harvesting Materials
- 3D Printing in Biomedical Research
- Nanopore and Nanochannel Transport Studies
- Advanced Nanomaterials in Catalysis
- Photoacoustic and Ultrasonic Imaging
- Advanced biosensing and bioanalysis techniques
- Electrochemical sensors and biosensors
- Hemodynamic Monitoring and Therapy
- Hybrid Renewable Energy Systems
- Circadian rhythm and melatonin
- Microfluidic and Capillary Electrophoresis Applications
- Advanced Chemical Sensor Technologies
- Advanced Photocatalysis Techniques
- Microfluidic and Bio-sensing Technologies
- Spectroscopy and Chemometric Analyses
- Advanced Memory and Neural Computing
- Integrated Energy Systems Optimization
- Materials Engineering and Processing
- High Entropy Alloys Studies
- TiO2 Photocatalysis and Solar Cells
- Social Robot Interaction and HRI
Fuzhou University
2024-2025
University of Macau
2023-2025
Tan Kah Kee Innovation Laboratory
2024-2025
Guilin University of Technology
2024
The University of Queensland
2024
Chongqing Medical University
2023-2024
California Institute of Technology
2020-2023
National Kaohsiung University of Science and Technology
2023
Jimei University
2023
Peking University People's Hospital
2023
Abstract Artificial intelligence has been successfully applied in various fields, one of which is computer vision. In this study, a deep neural network (DNN) was adopted for Facial emotion recognition (FER). One the objectives study to identify critical facial features on DNN model focuses FER. particular, we utilized convolutional (CNN), combination squeeze-and-excitation and residual network, task We AffectNet Real-World Affective Faces Database (RAF-DB) as expression databases that...
Abstract Food production in green crops is severely limited by low activity and poor specificity of D-ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) natural photosynthesis (NPS). This work presents a scientific solution to overcome this problem immobilizing RuBisCO into microfluidic reactor, which demonstrates continuous glucose precursor at 13.8 μmol g −1 min from CO 2 ribulose-1,5-bisphosphate. Experiments show that the immobilization significantly enhances enzyme stabilities...
Excess glucocorticoid is a potent inhibitor of epiphysial growth. Several mechanisms have been suggested to explain this growth inhibition, including both direct local effects on the plate and indirect systemic effects. Previous studies do not distinguish which these proposed actually responsible for suppression in vivo. To resolve controversy, we developed method delivering directly into rabbit accurately measuring resulting rate. Five-week-old male rabbits received infusion dexamethasone...
The reliable monitoring of the depth anesthesia (DoA) is essential to control procedure. Electroencephalography (EEG) has been widely used estimate DoA since EEG could reflect effect anesthetic drugs on central nervous system (CNS). In this study, we propose that a deep learning model consisting mainly residual shrinkage network (DRSN) and 1 × convolution in terms patient state index (PSI) values. First, preprocessed four raw channels signals remove electrical noise other physiological...
The characterization of atherosclerotic plaques to predict their vulnerability rupture remains a diagnostic challenge. Despite existing imaging modalities, none have proven abilities identify metabolically active oxidized low-density lipoprotein (oxLDL), marker plaque vulnerability. To this end, we developed machine learning-directed electrochemical impedance spectroscopy (EIS) platform analyze oxLDL-rich plaques, with immunohistology serving as the ground truth. We fabricated EIS sensor by...
Remote islands, comprising over one-sixth of the Earth's surface area and home to approximately 9% global population, face formidable challenges in securing affordable, sustainable, reliable energy. This paper presents a pioneering investigation into Mornington Island's transition from diesel reliance renewable energy predominance next four decades. By demonstrating tangible benefits implementation on Island, this research provides compelling simulated evidence that blending traditional...
Abstract Confronted with the surge in information volume, ensuring security and efficiency of transmission is crucial. Therefore, a selective encryption strategy necessary. It involves pre‐identifying image deciding whether to encrypt it based on its importance. Given low manual identification, there an urgent need develop fast efficient recognition module ensure effective processing decrypted data. However, previous studies, encryption, decryption, are implemented by separate modules, which...
Poly(vinylidene difluoride) (PVDF) and its copolymers as the polymers with highest piezoelectric coefficient have been widely used sensors generators. However, their relatively low performances limit applications in some harsh environments. In this work, poly(vinylidene-trifluoroethylene) P(VDF-TrFE) matrices different amounts of polyhedral oligomeric silsesquioxane (POSS) were prepared by a temperature solvent evaporation method thermal poling. The morphology, surface performance,...
Summary Unscrupulous merchants would sell cheap, low‐nutrition formula milk powder as pasteurised milk, or use it a raw material in dairy products, for the purpose of making profit. Currently, biochemical methods are utilised to identify type processed which could involve chemical reagents, sample preparation and costly instruments. This paper investigates utility electrical impedance spectroscopy (EIS) distinguishing different types milk. Ultra‐high temperature sterilised were studied. The...
Abstract Four interrelated issues have been arising with the development of modern industry, namely environmental pollution, energy crisis, greenhouse effect and global food crisis. Photocatalysis is one most promising methods to solve them in future. To promote high photocatalytic reaction efficiency utilize solar its fullest, a well-designed photoreactor vital. Photocatalytic optofluidic microreactors, technology that brings merits microfluidics photocatalysis, offer advantages large...
Abstract Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes cardiometabolic diseases in overweight individuals. While biopsy current gold standard to diagnose NAFLD and magnetic resonance imaging (MRI) a non-invasive alternative still under clinical trials, former invasive latter costly. We demonstrate electrical impedance tomography (EIT) as portable method for detecting infiltrate. enrolled 19 subjects undergo MRI scans, followed by EIT measurements. The images...
A facile method was developed to build efficient and versatile microfluidic platforms, namely, a fully immobilized microreactor (FIM) controllable partially (PIM), for NADH regeneration l -glutamate synthesis.
In this work, micro-modified polyvinylidene fluoride (PVDF) and its copolymer poly(vinylidene-trifluoroethylene) (P(VDF-TrFE)) with salient enhancement in current output are demonstrated. The influence of surface-modified structure characteristics on electrical properties energy harvester is systematically analyzed based the finite element method. For vertical load mode, eight structures consisting banded disjunctive groups compared to evaluate voltage performance. cylinder proved be best...
We have reported a prototype of wireless sensor node with ultra-low power consumption which has promising application on the temperature monitoring in central air conditioning system. Air-flow driven nanogenerators are utilized to harvest electric energy directly from wind tunnel building. Using microcontroller unit event-driven strategy, nodes can send out signal every 14 seconds at flow rate about 18 m/s. With Raspberry Pi, be received and delivered internet therefore, monitored easily any...
Topological optimization can realize the of mass distribution in whole objective domain. Compared with morphology and size optimization, it has a higher degree freedom. In this work, three-dimensional topological based on piezoelectric materials was discussed. Using Optimality Criteria, topology applied to cantilever transducer. The structure realized voltage stiffness as multi-objective function. corresponding codes are given show process optimization. With 70% origin volume, bi-objective...
ObjectiveTo explore the potential targets for melatonin in treatment of periodontitis through network pharmacologic analysis and experimental validation via vivo animal models vitro cellular experiments.Materials methodsIn this study, we first screened from Pharm Mapper putative targets, Drug Bank, TCMSP databases known targets. Then, disease database was searched differential expressed genes associated with periodontitis. The intersection melatonin-related yielded target These were further...
Large Language Models (LLMs) and Vision-Language (LVLMs) have demonstrated impressive language/vision reasoning abilities, igniting the recent trend of building agents for targeted applications such as shopping assistants or AI software engineers. Recently, many data science benchmarks been proposed to investigate their performance in domain. However, existing still fall short when compared real-world due simplified settings. To bridge this gap, we introduce DSBench, a comprehensive...