- Functional Brain Connectivity Studies
- Silicon and Solar Cell Technologies
- Mental Health Research Topics
- Thin-Film Transistor Technologies
- Semiconductor materials and devices
- Biochemical effects in animals
- Advanced Computing and Algorithms
- Advancements in Semiconductor Devices and Circuit Design
- Emotion and Mood Recognition
- Antioxidant Activity and Oxidative Stress
- Coenzyme Q10 studies and effects
- Spectroscopy and Chemometric Analyses
- Aquaculture Nutrition and Growth
- EEG and Brain-Computer Interfaces
- Iron and Steelmaking Processes
- Mental Health via Writing
- Aerogels and thermal insulation
- Gaze Tracking and Assistive Technology
- Heart Rate Variability and Autonomic Control
- Industrial Gas Emission Control
- Advanced battery technologies research
- Machine Learning and ELM
- Cultural and Historical Studies
- Advanced Chemical Sensor Technologies
- Solidification and crystal growth phenomena
Hebei University of Science and Technology
2025
Kunming University of Science and Technology
2023-2024
Beijing University of Technology
2020-2023
Zhejiang Ocean University
2023
Dalian Polytechnic University
2022
Beijing International Studies University
2020
Hebei University of Technology
2016
At present, there have been many studies on the methods of using deep learning regression model to assess depression level based behavioral signals (facial expression, speech, and language); however, research assessment method anxiety is absent. In this article, pupil-wave, a physiological signal collected by Human Computer Interaction (HCI) that can directly represent emotional state, developed for first time. order distinguish between different levels, we use HCI induce participants’...
The composite of graphene oxide(GO) and chitosan(CS) effectively addresses the issues oxide aggregation, difficult recovery, poor mechanical properties small surface area chitosan, while significantly improving adsorption performance chitosan. However, during process, active sites chitosan may react, which reduces number available thereby impacts overall efficiency. In this study, a aerogel (GCG) was prepared using glutamine-modified oxide, its for methyl orange Cu 2+ investigated. results...
In recent years, generative design methodologies utilizing artificial intelligence (AI) have gained significant attention in the field. Integrating topology optimization, parametric design, and AI has become a major research focus practical applications. This study analyzes these examines their roles limitations process. Furthermore, new framework, PAX, is proposed by merging PERT system with Experience (AX) methodology, providing systematic approach to AI-driven processes. The methodology...
The application of double-layer heaters in single-crystal furnaces holds great promise for silicon rod production, but the absence sufficient supporting research literature has hindered rapid progress practical applications. In current work, relationship between design heater and flow behavior melt was obtained by investigating lengths upper lower layers gap position. FEMAG growth simulation platform (https://www.femagsoft.com) adopted to simulate model M10 large-sized n -type single...
Abstract For the problems hardware configuration of multi-camera and multi-light source is complicated eye image little auxiliary light too dark in gaze tracking system, A new system based on two-dimensional mapping model proposed, which achieved transformation from coordinates to three-dimensional combined attitude angle virtual reality headset. In this paper, relationship between visual features points established by improving method pupil recognition estimation pupil-corneal, accuracy...
Coenzyme Q10 (CoQ10) is a powerful antioxidant that gradually being used in aquafeeds. Here, we examined the influence of oxidized fish oil and CoQ10 supplementation on intestinal microbiota Micropterus salmoides at different growth stages. Three isonitrogenous isoenergetic diets were formulated to contain 100% fresh (FFO), (OFO) OFO + 0.1% (QFO) fed (95 ± 0.60 g) for 70 days. Furthermore, three stages (28-day, 49-day, 70-day) selected observe dynamic changes microbiota. The performance QFO...
During the growth of large-diameter N-type Czochralski (Cz) silicon, oxygen is a major impurity in single-crystal silicon rod, seriously affecting cell efficiency monocrystalline wafers. To reduce concentration crystal to improve wafer efficiency. In this paper, 2D global quasi-steady axisymmetric model established based on 252 mm diameter process, and effect different heater structures hot zone, melt Cz furnace investigated using FEM method. The results show that when height increased from...
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Up to now, there is still the absence of research about depression recognition using resting-state functional magnetic resonance imaging (rest_fMRI) and deep learning. Previous studies have shown that regional homogeneity (ReHo) rest_fMRI (rest_ReHo_fMRI) a characterization synchronization adjacent voxels in brain regions, mental behavioral abnormalities are due an imbalance ReHo some areas. Accordingly, this paper presents method for rest_ReHo_fMRI. First, rest_ReHo_fMRI extracted from...
The research of deep convolutions neural network (DNN) in the depression recognition has become a popular topic. In this paper, we propose method for based on regional homogeneity (ReHo) emotional task state functional magnetic resonance imaging (task-fMRI) using DNN. First, task-fMRI is extracted by processing fMRI stimulation tasks. And with ReHo (ReHo-task-fMRI) calculated task-fMRI. then, convolutional networks DNN (such as VGG16, etc.) pre-trained ImageNet are used to automatically...
This paper focuses on a large kitchen fume gas purification device newly designed by numerical simulation using FLUENT software.The velocity distribution and pressure within the whole are simulated.Particle trajectories of different droplet diameters (5μm, 8μm, 11μm, 15μm) also simulated respectively removal rate diameter droplets were 60.86%, 76.34%, 99.89% 100% respectively.It is found that novel has very good ability to remove particles in gas.
Facial expression recognition has always been a focus of study in emotion computing. With the aim solving problem that previous facial studies are susceptible to individual differences and background noise, as well loss features deep networks convolutional networks, we propose method based on difference contextual feature fusion. The module can carry out operation between emotional image neutral input image, eliminate noise improve accuracy generalization network. Finally, combined network...
This paper presents an approach to predict the depression self-rating scale of Patient Health Questions-9 (PHQ-9) values from pupil-diameter data based on graph attention network (GAT). The pupil diameter signal was derived eye information collected synchronously while subjects were viewing virtual reality emotional scene, and then scores PHQ-9 for level. chebyshev distance GAT (Chebyshev-GAT) constructed by extracting change rate, bandwidth, entropy energy, their statistical distribution....
In recent years, the use of convolutional neural network (DNN) for depression recognition has received a lot research. However, DNN can only be employed modelling video, audio and natural language processing, is not suitable learning with few samples tabular data. this paper, data based few-shot learning, we propose multiple parallel graph attention networks (pGAT) architecture. As first, calculate information emotional bandwidths (such as entropy, energy) on pupil size, extract...