A5115603299- EEG and Brain-Computer Interfaces
- Ideological and Political Education
- Biodiesel Production and Applications
- Advanced Combustion Engine Technologies
- Emotion and Mood Recognition
- Anomaly Detection Techniques and Applications
- Bioactive Compounds and Antitumor Agents
- Hemispheric Asymmetry in Neuroscience
- Advanced Fiber Laser Technologies
- Innovative Educational Techniques
- Advanced Photonic Communication Systems
- Neural and Behavioral Psychology Studies
- Artificial Intelligence in Healthcare and Education
- Spectroscopy and Chemometric Analyses
- Combustion and flame dynamics
- Evolutionary Psychology and Human Behavior
- Blind Source Separation Techniques
- Video Surveillance and Tracking Methods
- Forensic Anthropology and Bioarchaeology Studies
- ECG Monitoring and Analysis
- Laser Design and Applications
- Gait Recognition and Analysis
- Cancer Immunotherapy and Biomarkers
- Functional Brain Connectivity Studies
- Photochemistry and Electron Transfer Studies
South China Normal University
2024
First Affiliated Hospital of Zhengzhou University
2024
Xi'an Jiaotong University
2024
Shenzhen University
2023
Beijing Institute of Technology
2023
Jinling Institute of Technology
2023
University of Electronic Science and Technology of China
2023
Shanghai Institute of Optics and Fine Mechanics
2023
University of Chinese Academy of Sciences
2018-2023
University of Jinan
2019-2022
Abstract Emotions are processed asymmetrically by the human brain. Frontal alpha asymmetry (FAA) as measured electroencephalographic (EEG) power in band (8–13 Hz), is a sensitive indicator of asymmetric brain activity frontal cortex. The current study aimed to analyze EEG asymmetries terms valence and motivational direction. We presented 37 participants with three film excerpts that were selected from standard emotional database elicit target emotions: tenderness, anger, neutrality....
Recognizing human emotions from complex, multivariate, and non-stationary electroencephalography (EEG) time series is essential in affective brain-computer interface. However, because continuous labeling of ever-changing emotional states not feasible practice, existing methods can only assign a fixed label to all EEG timepoints emotion-evoking trial, which overlooks the highly dynamic signals. To solve problems high reliance on labels ignorance time-changing information, this paper we...
Abstract Background Obese patients have been found to be susceptible iron deficiency, and malabsorption of dietary is the cause obesity-related deficiency (ORID). Divalent metal transporter 1 (DMT1) ferroportin (FPN), are two transmembrane proteins expressed in duodenum that closely associated with absorption. However, there few studies on association between these increased susceptibility obese patients. Chronic inflammation also thought a both conditions can an impact spermatogenesis...
Understanding the nonadiabatic dynamics of complex systems is a challenging task in computational photochemistry. Herein, we present an efficient and user-friendly quantum mechanics/molecular mechanics (QM/MM) interface to run on-the-fly dynamics. Currently, this consists independent set codes designed for general-purpose use. demonstrate ability feasibility QM/MM by integrating it with our long-term developed JADE package. Tailored handle processes various systems, especially condensed...
Traditional research on emotion-face processing has primarily focused the expression of basic emotions using adult emotional face stimuli. Stimulus sets featuring child faces or other than are rare. The current study describes acquisition and evaluation Qingdao Preschooler Facial Expression (QPFE) set, a facial stimulus set with images 54 Chinese preschoolers' emotion expressions. includes 712 standardized color photographs six (joy, fear, anger, sadness, surprise, disgust), five discrete...
Abstract In the medical field, bone abnormality detection is a very important issue. Bone abnormalities include various diseases such as fractures, osteoporosis, tumors, and joint diseases. If these are not diagnosed treated in timely manner, they can seriously affect health quality of life patients. Artificial intelligence has made remarkable advances Cluster analysis big data, effectively mining its hidden associations to provide effective information for clinical diagnosis research....
The Yin’e Basin, lying in the west of Inner Mongolia Autonomous Region China, embodies a complex geologic setting involving diverse and deformed strata sedimentary igneous rocks. Two-dimensional seismic data, collected western portion basin for frontier exploration oil gas, are highly complicated with low signal-to-noise ratio interference reflected diffracted waves. Seismic imaging using conventional technologies was poor, subsurface structures were unreliable interpretation. We have...
A novel approach is presented to identify constituents with antileukemic properties in extracts of Indigo naturalis (Qingdai Chinese). Target compounds (A+ , BC+ and ABC+ ) that knocked out specific displayed effects a total extract I. negative (A- BC- ABC- target were separated, identified by semipreparative liquid chromatography (semipreparative HPLC) quadrupole time-of-flight mass spectrometer. Quantitative methods used evaluate the content each knocked-out constituent (D). Subsequently,...
The fundamental purpose of fine-designed course construction was to construct resource sharing platform and provide service for learners.Therefore, online learning support courses very important.The article investigated analyzed the current situation system in national medical from following three dimensions:interaction, aids, assessment discussed existing problems, moreover, offered corresponding strategies suggestions, hope providing some help perfecting construction. Key words:...
This work proposes an unsupervised identity link prediction (ILP) method for label estimation in one-shot person Re-ID. ILP aims to cast aside the constraints of labeled samples and group a set unlabeled pedestrians by their potential identities. The main idea is that category relationships between (nodes) can be inferred from local context feature space. Specifically, Identity Link Subgraph (ILS) describes relationship nodes nearest neighbors, which constructed two-step procedure....
An active mode-locking optoelectronic oscillator (OEO) based on an electric mixer is proposed and experimentally demonstrated. In this scheme, the external drive signal injected into intermediate frequency (IF) port of to achieve periodic loss modulation OEO cavity. Once set be equal integer multiple free spectral range (FSR) OEO, phase between longitudinal modes can locked generate stable multi-tone microwave combs in cavity, which are coherently superimposed time domain form short pulse...
With the increasing scope of applications laser, it is crucial to study pollution optical components for regulating beams in intricate environments. In resonance ionization spectroscopy instruments, optics may suffer from contamination caused by both analyzed sample and environmental impurities, which can cause detrimental effects on their properties, potentially leading degradation or destruction. The paper analyses spectral performance two categories reflective mirrors that have been...
This paper proposes an unsupervised Chinese word segmentation algorithm for ideological and political education. The is divided into two parts: language model generation the Viterbi algorithm. calculates conditional probability based on big texts determines number of occurrences between single character character. Then we can have a character-level N-gram model. uses idea dynamic programming. use to find optimal path. Finally complete task supported by texts. Experiments show that proposed...
Recognizing human emotions from complex, multivariate, and non-stationary electroencephalography (EEG) time series is essential in affective brain-computer interface. However, because continuous labeling of ever-changing emotional states not feasible practice, existing methods can only assign a fixed label to all EEG timepoints emotion-evoking trial, which overlooks the highly dynamic signals. To solve problems high reliance on labels ignorance time-changing information, this paper we...