Temporal Aware Mixed Attention-based Convolution and Transformer Network (MACTN) for EEG Emotion Recognition

Emotion recognition plays a crucial role in human-computer interaction, and electroencephalography (EEG) is advantageous for reflecting human emotional states. In this study, we propose MACTN, a hierarchical hybrid model for jointly modeling local and global temporal information. The model is inspired by neuroscience research on the temporal dynamics of emotions. MACTN extracts local emotional features through a convolutional neural network (CNN) and integrates sparse global emotional features through a transformer. Moreover, we employ channel attention mechanisms to identify the most task-relevant channels. Through extensive experimentation on two publicly available datasets, namely THU-EP and DEAP, our proposed method, MACTN, consistently achieves superior classification accuracy and F1 scores compared to other existing methods in most experimental settings. Furthermore, ablation studies have shown that the integration of both self-attention mechanisms and channel attention mechanisms leads to improved classification performance. Finally, an earlier version of this method, which shares the same ideas, won the Emotional BCI Competition's final championship in the 2022 World Robot Contest

Do Perceived Leadership Behaviors Affect User Technology Beliefs? An Examination of the Impact of Project Champions and Direct Managers

Understanding the managerial influence on user beliefs of information technology (IT) has been an important concern to the IT adoption research. Our study contributes by examining relationships between managers\u27 leadership behavior and user technology beliefs. Drawing on the transformational leadership theory [Bass 1985], we develop a research model comparing the effect of leadership behaviors of two managerial roles - project champions and direct managers - on user technology beliefs. Our cross-sectional survey across 138 users in five organizations suggests that project champions and direct managers\u27 leadership behaviors exercise different influences on users\u27 technology beliefs. Implications of this study on research and practice are discussed

Experimental investigation on the composite effect of steel rebars and macro fibers on the impact behavior of high performance self-compacting concrete

In this study, the impact behavior of ten types of high performance self-compacting concrete (HPSCC) was explored using the drop-weight method. The HPSCC specimens were reinforced with steel rebars and different fibers for comparison with plain concrete. The reinforcement mechanism of the influences of steel rebars and different fibers on failure impact energy was explained. The composite effects of hybrid use of steel rebars with different fibers on the failure impact energy were also compared. The penetration depth for each mixture was analyzed. Test results showed that the macro fibers could greatly improve the failure impact energy both in plain and reinforcement concrete. Moreover, the toughness, penetration depth, stress redistribution could be improved obviously due to the positive hybrid effect of rebars and macro fibers in reinforced concrete. The statistical analysis technique was introduced to evaluate the experimental data, and the goodness of fit tests showed that the distribution of the blow numbers to the first crack and up to the final failure followed the two-parameter Weibull distribution.The authors gratefully acknowledge the National Natural Science Foundation of China: Grants: 51578109 and 51121005.DUT and Fundação para a Ciência e a Tecnologia(SFRH/BPD/22680/2005).info:eu-repo/semantics/publishedVersio

Adsorption and desorption characteristics of coal seam gas under infrared radiation

Infrared radiation technology can enhance rock permeability and promote methane desorption in coalbed methane thermal recovery. In this study, an experimental system with infrared radiation is developed to investigate the adsorption/desorption behavior of coal under different water contents. The results demonstrate that higher power levels of infrared radiation lead to decreased adsorption capacity and increased desorption capacity in coal. Specifically, employing 50 W infrared radiation results in a 30.9% increase in desorption capacity. Higher moisture content intensifies the desorption hysteresis effect, while this adverse impact can be mitigated by infrared radiation with greater power levels, exhibiting a stronger ability to reduce desorption-induced hysteresis. Additionally, a critical pressure for infrared radiation is established. Before and after this pressure, the influence of infrared radiation power on pressure sensitivity differs significantly. Finally, an improved Langmuir adsorption model considering infrared radiation power and moisture content is proposed and validated using experimental data. Our research expands the application of infrared radiation technology for enhanced coalbed methane recovery during actual mining operations.Document Type: Original articleCited as: Tu, Y., Zhang, Y., Dong, Y., Ma, Y. Adsorption and desorption characteristics of coal seam gas under infrared radiation. Capillarity, 2023, 8(3): 53-64. https://doi.org/10.46690/capi.2023.09.0

Matrix Algorithm for Braiding Simulation of Three-Dimensional Four-Step Braided Composites

This paper proposes a new kind of computational approach of three-dimensional (3D) braiding simulation based on matrix theory and symbol operation, which is suitable for batch integral calculation. The approach can be used to calculate braiding matrix at any step. Different braiding matrices fully reflect yarn carrier position changes. Using the braiding matrix calculation, the approach can provide data for storing yarn carrier paths, also termed braiding paths. The 3D braiding paths study was conducted to better visualization and thereby analyse the carrier’s movement characteristics and principles of operation. Finally, a program was designed to provide a reference for the mathematical model in further research

A method for calculating permanent displacement of seismic-induced bedding rock landslide considering the deterioration of the structural plane

The mechanism of seismic-induced bedding rock landslide is distinct from that of slope instability/landslide in normal gravity conditions; their failure modes are mainly characterized by vibration deterioration effect of rock mass structural plane due to a seismic loading, which has a significant effect on the stability of the bedding rock landslide. Several advanced methods have been proposed to assess earthquake-induced bedding rock landslide. However, the quantitative evaluation of the vibration deterioration effect of structural plane, along with its application in the dynamic stability analysis of bedding rock slopes, remains a challenging topic that requires further study. In this study, on the basic of the analysis of the cyclic shear condition and the cyclic shear test of the structural plane, the expressions to calculate the dilatancy angle and basic friction angle of structural plane under cyclic shear loading are studied. A deterioration formula for structural plane shear strength is proposed, which fully considers the deterioration effect during cyclic shear. Furthermore, a new calculating method of the seismic-induced permanent displacement of the bedding rock landslide, which introduces the deterioration effect of the structural plane, is developed. A case study was used to compare the permanent displacement calculated with the proposed method with those obtained using the Newmark and Qi methods, which demonstrates the effectiveness and applicability of the proposed method

Drug Target Prediction Based on the Herbs Components: The Study on the Multitargets Pharmacological Mechanism of Qishenkeli Acting on the Coronary Heart Disease

In this paper, we present a case study of Qishenkeli (QSKL) to research TCM's underlying molecular mechanism, based on drug target prediction and analyses of TCM chemical components and following experimental validation. First, after determining the compositive compounds of QSKL, we use drugCIPHER-CS to predict their potential drug targets. These potential targets are significantly enriched with known cardiovascular disease-related drug targets. Then we find these potential drug targets are significantly enriched in the biological processes of neuroactive ligand-receptor interaction, aminoacyl-tRNA biosynthesis, calcium signaling pathway, glycine, serine and threonine metabolism, and renin-angiotensin system (RAAS), and so on. Then, animal model of coronary heart disease (CHD) induced by left anterior descending coronary artery ligation is applied to validate predicted pathway. RAAS pathway is selected as an example, and the results show that QSKL has effect on both rennin and angiotensin II receptor (AT1R), which eventually down regulates the angiotensin II (AngII). Bioinformatics combing with experiment verification can provide a credible and objective method to understand the complicated multitargets mechanism for Chinese herbal formula

Regulation of Polysaccharide in Wu-Tou Decoction on Intestinal Microflora and Pharmacokinetics of Small Molecular Compounds in AIA Rats

Wu-tou decoction (WTD), a traditional Chinese medicine prescription, is used to treat rheumatoid arthritis (RA). It works by controlling intestinal flora and its metabolites, which in turn modulates the inflammatory response and intestinal barrier function. Small molecular compounds (SM) and polysaccharides (PS) were the primary constituents of WTD extract. In this work, a model of adjuvant-induced arthritis (AIA) in rats was established and treated with WTD, SM, and PS, respectively. 16S rRNA gene sequencing was used to examine the regulatory impact of the various groups on the disturbance of the gut flora induced by RA. Further, since PS cannot be absorbed into the blood, the influence of PS on the absorption and metabolism of SM was studied by examining their pharmacokinetic (PK) parameters of 23 active components in SM by UPLC-MS/MS. WTD was found to be more effective than PS and SM in alleviating arthritis in AIA rats, which may be related to changes in gut flora. The PK properties of 13 active compounds were altered after PS intervene. Based on the findings, PS may be able to manage the disruption of intestinal microbiota, enhance the intestinal environment of model animals, and hence influence SM absorption and metabolism