A5100441914- Categorization, perception, and language
- Language, Metaphor, and Cognition
- Emotion and Mood Recognition
- EEG and Brain-Computer Interfaces
- Philosophy and History of Science
- Child and Animal Learning Development
- Mycorrhizal Fungi and Plant Interactions
- Color perception and design
- Digital Media and Visual Art
- Advanced Memory and Neural Computing
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Sleep and related disorders
- Species Distribution and Climate Change
- Evolution and Science Education
- Soil Carbon and Nitrogen Dynamics
- Neural Networks and Reservoir Computing
- Ecology and Vegetation Dynamics Studies
- Emotional Intelligence and Performance
- Biomedical Text Mining and Ontologies
- Image and Video Quality Assessment
- COVID-19 and Mental Health
- Social Representations and Identity
- Long-Term Effects of COVID-19
- Language and cultural evolution
Jiangnan University
2022-2025
Inner Mongolia Agricultural University
2022
The First People's Hospital of Changde
2021
California Lutheran University
1996-2006
Emotional analysis methods based on electroencephalography and interaction design theory are of great significance in the field affective computing. It can not only achieve more accurate emotion recognition through in-depth brain activities but also lay foundation for building a natural emotional system. This paper proposes an electroencephalogram (EEG) model that combines deep learning framework theory. The main contributions as follows: (1) An improved Longformer (ETLD-Transformer) is...
Abstract Drawing on the results of modem psychology and cognitive science we suggest that traditional theory concepts is no longer tenable, alternative account proposed by Kuhn may now be seen to have independent empirical support quite apart from its success as part an scientific change. We these mechanisms can also understood special cases general structures revealed science. Against this background, incommensurability not insurmountable obstacle accepting Kuhn's position, many...
Abstract Degradation of dryland ecosystems is a worldwide problem caused by climate change and human activities. To restore these degraded ecosystems, governments have implemented projects that often include revegetation, but we still lack an understanding how soil food webs ecosystem functions are affected revegetation. By conducting large‐scale revegetation experiment under two degradation intensities (low high) on the Inner Mongolian grassland, tested effects primary producers (plants),...
To explore the sleep quality and depression-anxiety-stress state of frontline nurses in high-risk areas who conduct nucleic acid sampling testing for COVID-19 to provide a basis formulating intervention programs crisis management.From August 22 30, 2021, convenient method was used Zhangjiajie City, Hunan Province, China. A total 248 performed sample collection were selected. The following tests used: general information questionnaire, Pittsburgh Sleep Quality Questionnaire (PSQI),...
This research makes significant advances in the field of emotion recognition by presenting a new generative adversarial network (GAN) model that integrates deep learning with electroencephalography (EEG). To achieve more accurate data production and real matching, utilizes self-attention residual neural networks. Additionally, this process is accomplished substituting an autoencoder for discriminator GAN, incorporating reconstruction loss function. We include mechanism block building to...
In this paper I examine a cognitive mechanism of incommensurability. Using the frame model concept representation to capture structural relations within concepts, reveal an ontological difference between object and event concepts: former are spatial but latter temporal. Experiments from sciences further demonstrate that mind treats concepts differently. Thus, incommensurability can occur in conceptual change across different categories. use historical case illustrate how actually caused...
Abstract I propose a new perspective on the study of scientific revolutions. This is transformation from an object-only to ontological that properly treats objects and processes as distinct kinds. begin my analysis by identifying object bias in revolutions, where it takes form representing revolutions changes classification physical objects. further explore origins this bias. Findings developmental psychology indicate children cannot distinguish until age 7, but they have already developed...
With the development of virtual reality and digital reconstruction technology, museums have been widely promoted in various cities. Digital offer new ways to display disseminate cultural heritage. It allows remote users autonomously browse displays a physical museum environment space. is also possible reproduce lost heritage through restoration, so as digitally present tangible intangible public. However, user’s experience using has not fully deeply studied at present. In this study,...
Enhancing the computational efficiency of on-device Deep Neural Networks (DNNs) remains a significant challengein mobile and edge computing. As we aim to execute increasingly complex tasks with constrained resources, much research has focused on compressing neural network structures optimizing systems. Although many studies have parameters or underlying systems, there been limited attention fundamental building blocks networks: neurons. In this study, deliberate simple but important...
Empirical studies revealed that constructive voice produces innovation, but destructive yields discord in work environments. Emotional intelligence creates one’s attitudes, which affects employee behaviors. Inclusive leadership offers support behaviors are favorable to subordinates speak up with solutions or new ideas, and mitigate defamations grumbles. Participants were 214 subordinate-supervisor dyads who surveyed China. As expected, inclusive moderated significantly the relationships of...
One of the design objectives a product is to create positive emotional user experience. Through careful design, can evoke resonance in users and stimulate their pleasure satisfaction. Therefore, emotion recognition crucial for parameterized design. Considering that based on electroencephalogram (EEG) signals more objective accurate compared methods such as text surveys, this paper proposes an analysis model long short-term memory (LSTM) EEG applies it The main contributions are follows. (1)...