A5100696597- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Brain Tumor Detection and Classification
- Air Quality and Health Impacts
- Geothermal Energy Systems and Applications
- Barrier Structure and Function Studies
- Advanced Sensor and Control Systems
- Physics of Superconductivity and Magnetism
- Fuel Cells and Related Materials
- Plant Disease Management Techniques
- Insect Resistance and Genetics
- Adenosine and Purinergic Signaling
- Medical Image Segmentation Techniques
- Ergonomics and Musculoskeletal Disorders
- Smart Agriculture and AI
- Plant Virus Research Studies
- Auction Theory and Applications
- Insect Utilization and Effects
- Climate change and permafrost
- Neuroscience and Neuropharmacology Research
- HVDC Systems and Fault Protection
- Functional Brain Connectivity Studies
- Soil Moisture and Remote Sensing
- Irrigation Practices and Water Management
- Supercapacitor Materials and Fabrication
Shenzhen University
2025
Heilongjiang University of Science and Technology
2024
China Agricultural University
2021-2024
Ministry of Ecology and Environment
2024
Nanjing Agricultural University
2024
Northwest University
2021
University of Nebraska Medical Center
2013-2021
Centre of Excellence for Advanced Materials
2021
Beijing University of Posts and Telecommunications
2020
Beijing Normal University
2017
Maize leaf disease detection is an essential project in the maize planting stage. This paper proposes convolutional neural network optimized by a Multi-Activation Function (MAF) module to detect disease, aiming increase accuracy of traditional artificial intelligence methods. Since dataset was insufficient, this adopts image pre-processing methods extend and augment samples. uses transfer learning warm-up method accelerate training. As result, three kinds diseases, including maculopathy,...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by pathological deposition of misfolded self-protein amyloid beta (Aβ) which in kind facilitates tau aggregation and neurodegeneration. Neuroinflammation accepted as key driver caused innate microglia activation. Recently, adaptive immune alterations have been uncovered that begin early persist throughout the disease. How these occur whether they can be harnessed to halt progress unclear. We propose...
The excessive application and loss of pesticides poses a great risk to the ecosystem, environmental safety assessment is time-consuming expensive using traditional animal toxicity tests. In this work, pesticide acute dataset was created for silkworm integrating extensive experiments various common formulations considering sensitivity adverse environment, its economic value in China, gap machine learning (ML) research on prediction species, which addressed previous limitation only being able...
Social anxiety is characterized by excessive fear of negative evaluation and avoidance in social situations. While its neural processing patterns are well-documented, the millisecond-level temporal dynamics brain functional networks remain poorly understood. This study used EEG microstate analysis to explore dynamic mechanisms underlying anxiety. Eyes-closed resting-state data were collected from 41 participants, divided into high (n = 23) low 18) groups based on their Liebowitz Anxiety...
Automatic segmentation of intracranial brain tumors in three-dimensional (3D) image series is critical screening and diagnosing related diseases. However, there are various challenges tumor images: (1) Multiple categories hold particular pathological features. (2) It a thorny issue to locate discern from other non-brain regions due their complicated structure. (3) Traditional requires noticeable difference the brightness interest target relative background. (4) Brain magnetic resonance...
Physical health diseases caused by wrong sitting postures are becoming increasingly serious and widespread, especially for sedentary students workers. Existing video-based approaches sensor-based can achieve high accuracy, while they have limitations like breaching privacy relying on specific sensor devices. In this work, we propose Sitsen, a non-contact wireless-based posture recognition system, just using radio frequency signals alone, which neither compromises the nor requires various...
Quantifying evapotranspiration (ET) in rainfed cropping systems can be challenging due to complicated interactions among site-specific soil, plant, and management factors. In Northeast China, ET soil water status maize fields often display strong spatial temporal variations the changes tillage practice, planting pattern, plant density. Previous studies have shown that near-surface content (θ) observations at multiple scales provide potential estimate surface fluxes. this study, we introduced...
Traditional named entity recognition methods mainly explore the application of hand-crafted features. Currently, with popularity deep learning, neural networks have been introduced to capture features for recognition. However, most existing only aim at modern corpus. Named in ancient literature is challenging because names it evolved over time. In this paper, we attempt recognise entities by exploring characteristics characters and strokes. The enhanced character embedding model, ECEM,...
Abstract A thermo‐time domain reflectometry (thermo‐TDR) sensor combines a heat‐pulse with TDR waveguide to simultaneously measure coupled processes of water, heat, and solute transfer. The can provide repeated in situ measurements several soil state properties (temperature, water content, ice content), thermal (thermal diffusivity, conductivity, heat capacity), electromagnetic (dielectric constant bulk electrical conductivity) minimal disturbance. Combined physical or empirical models,...
MgB <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> superconducting materials have important application potential in the 20K temperature region, which is a significant advantage compared with other low-temperature superconductors (such as Nb-Ti and Nb3Sn). However, there big gap between its current-carrying capacity Ni-Ti Nb xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> Sn, due to weak magnetic flux pinning force poor connection...