A5111025595- Advanced Graph Neural Networks
- Microbial Fuel Cells and Bioremediation
- Recommender Systems and Techniques
- Gas Sensing Nanomaterials and Sensors
- Electrocatalysts for Energy Conversion
- MXene and MAX Phase Materials
- Supercapacitor Materials and Fabrication
- Electrochemical sensors and biosensors
- Boron and Carbon Nanomaterials Research
- 2D Materials and Applications
- Topic Modeling
- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Engineering and Test Systems
- Advanced Sensor and Energy Harvesting Materials
- Planetary Science and Exploration
- Conducting polymers and applications
- Image Retrieval and Classification Techniques
- Sensor Technology and Measurement Systems
- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Information and Cyber Security
- Bioactive Compounds in Plants
- Acupuncture Treatment Research Studies
- Medicinal Plant Research
Nanjing University of Aeronautics and Astronautics
2003-2024
University of Southern Queensland
2024
Tiangong University
2024
Nanjing University of Science and Technology
2024
Kunming University of Science and Technology
2024
PLA Academy of Military Science
2020-2024
Chongqing University
2024
North Carolina State University
2024
Hunan Normal University
2023
Nanjing Library
2021
We report phosphorus (P)-doped activated carbon (AC) as a highly active catalyst for the oxygen reduction reaction (ORR) in air-cathode microbial fuel cells (MFCs).
A fabricated borophene–MoS<sub>2</sub> heterostructured sensor shows ultrahigh sensitivity, fast response, long life, good flexibility and high selectivity, which exhibits potential applications in human breath diagnosis non-contact switch sensing systems.
Hydrogenated borophene and BC 2 N quantum dot heterostructures have been synthesized via facile ultrasonication. The sensitivity of the fabricated borophene-BC sensor is highest among all reported typical 2D-material chemiresistive sensors.
Borophene has drawn tremendous attention in the past decade for a wide range of potential applications owing to its unique structural, optical, and electronic properties. However, borophene toward next-generation nanodevices are mostly theoretical predictions, while experimental realization is still lacking due rapid oxidation intrinsic an air environment. Here, we have successfully prepared structurally stable transferrable few-layer β12-borophane on copper foils by typical two-zone...
Direct maintenance costs (DMC) of commercial aircraft make a significant contribution to an aircraft's cost ownership. The aim our research is find out some methods reduce DMC. paper first points that design and fault diagnosis are the key factors influence DMC, disregarding unique particular airline. A new concept R&M – free operating period expert system discussed in this paper, order
Sequential recommendation systems seek to learn users' preferences predict their next actions based on the items engaged recently. Static behavior of users requires a long time form, but short-term interactions with usually meet some actual needs in reality and are more variable. RNN-based models always constrained by strong order assumption hard model complex changeable data flexibly. Most CNN-based limited fixed convolutional kernel. All these methods suboptimal when modeling dynamics...
Understanding the redistribution of soil organic carbon (OC) driven by erosion contributes to global budget and watershed management. Quantifying sources eroded OC in sediments provides new insights addressing this issue. However, limited quantitative information on factors influencing has constrained behavior regulating exported from watershed. Here, we explored lake over last 100 years quantified effects climate change human activities sources. Results stable isotope fingerprinting MixSIAR...
Neuromorphic computing, marked by its parallel computational abilities and low power usage, has become pivotal in advancing artificial intelligence. However, the advancement of neuromorphic computing faced significant obstacles due to performance limitations traditional memory devices struggling with high consumption limited reliability. Two‐dimensional (2D) materials have been extensively investigated as high‐performance memristive materials, but they are often restricted fixed properties,...
As part of the field DNA methylation identification, this study tackles challenge enhancing recognition performance by introducing a specialized deep learning framework called DeepPGD. methylation, crucial biological modification, plays vital role in gene expression analyses, cellular differentiation, and disease progression. However, accurately efficiently identifying sites remains pivotal concern bioinformatics. The issue addressed paper is presence DNA, which binary classification...