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This paper proposes a path strategy for VR+music combination therapy in future development and introduces an emotion recognition model based on EEG signals to address its inability to quantify the therapeutic effect of emotional intervention. EEG signal feature extraction involves extracting the differential entropy of the signal as a feature and smoothing it in a time series using a linear dynamic system. On this basis, the SVN-KNN-based emotion EEG recognition algorithm is further proposed, and the KNN algorithm is weighted and adjusted by using the inter-class sample density, which avoids the interference of the imbalanced distribution of the number of samples on the performance of the classifier and improves the generalization ability of the classification model. In the VR+music combination therapy experiment, the PSD of the theta, alpha, and beta EEG bands of the patients in the observation group was higher than that before the experiment. The difference between the observation group and the control group in the CERQ-C scores after the experiment in the factors of self-blame, contemplation, blaming others, acceptance, and rational analysis was statistically highly significant (P

Ocular surface diseases including conjunctival disorders are multifactorial progressive conditions that can severely affect vision and quality of life. In recent years, stem cell therapies based on conjunctival stem cells (CjSCs) have become a potential solution for treating ocular surface diseases. However, neither an efficient culture of CjSCs nor the development of a minimally invasive ocular surface CjSC transplantation therapy has been reported. Here, we developed a robust in vitro expansion method for primary rabbit-derived CjSCs and applied digital light processing (DLP)-based bioprinting to produce CjSC-loaded hydrogel micro-constructs for injectable delivery. Expansion medium containing small molecule cocktail generated fast dividing and highly homogenous CjSCs for more than 10 passages in feeder-free culture. Bioprinted hydrogel micro-constructs with tunable mechanical properties enabled the 3D culture of CjSCs while supporting viability, stem cell phenotype, and differentiation potency into conjunctival goblet cells. These hydrogel micro-constructs were well-suited for scalable dynamic suspension culture of CjSCs and were successfully delivered to the bulbar conjunctival epithelium via minimally invasive subconjunctival injection. This work integrates novel cell culture strategies with bioprinting to develop a clinically relevant injectable-delivery approach for CjSCs towards the stem cell therapies for the treatment of ocular surface diseases.

Using Abaqus finite element software, this study investigates the impact of different carcass belt layer structures on the grounding characteristics of tires. Focusing on the 215/55R17 radial tire, the research proposes a structural optimization scheme and establish a finite element model. The standard tire belt layer structure is replaced with a mesh belt layer structure to achieve optimized performance. Through static loading tests on the tire, the accuracy of the finite element model was validated. By altering the density, number of layers of the mesh belt structure, and radial load of the tire, a simulation analysis is conducted to study the impact on tire deformation and stress on the carcass material. The optimized tire features increased radial stiffness and reduced tread wear. The density of the mesh belt layer in the contact area affects tire deformation as well as the stress on the belt layer and ply layer. The results indicate that the mesh belt layer can effectively absorb the radial load of the tire, optimizing tire deformation by 20% to 30%. Under different loads, the tire with a 70-density mesh belt layer can reduce surface stress by approximately 40%, or around 230J. The mesh belt layer tire can reduce the sensitivity of the tire center to high load stresses, optimizing 25% of the concentrated stress at the shoulder position of the ply layer. When a double-layer belt is used, the strength at the shoulder increases with the number of belt layers, reducing stress by approximately 2-4N. The structural form of the belt layer has little impact on the trend of stored strain energy changes, but the number of belt layers significantly affects the amount of change in the tire's strain energy. On average, about 10% of the stored strain energy is reduced due to changes in the belt layer structure. [ABSTRACT FROM AUTHOR]

Selected 215/55 R17 radial tires for material test to obtain relevant material parameters. Used these parameters to build a finite element model and conduct longitudinal slip simulation. The relationship between longitudinal force and slip rate at different speeds and loads was determined by tire longitudinal slip tests. Then the longitudinal slip simulation results were compared with the test results to verify the feasibility of the model. The circumferential and axial rebar force of the belt layer at different speeds and the extreme value of the circumferential rebar force on the reverse-envelope of different skeleton materials were analyzed. The results show that: in the static state, the cord force of the belt layer had shown a trend consistent with the direction of the cord arrangement. As the speed increased, the belt cord force exhibited significant fluctuations and asymmetry. The rebar force of the turn-up points on the belt and ply is significantly smaller compared to the fetal crown ply. The rebar force at the fetal crown and belt wrapping points at 60 km/h was smaller than at 40 km/h and 80 km/h. The cord force of the fetal crown ply and the belt ply is much more affected by the load than that of the ply. [ABSTRACT FROM AUTHOR]