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The near-eye display (NED) systems, designed to project content into the human eye, are pivotal in the realms of augmented reality (AR) and virtual reality (VR), offering users immersive experiences. A small volume is the key for a fashionable, easy-to-wear, comfortable NED system for industrial and consumer use. Freeform surfaces can significantly reduce the system volume and weight while improving the system specifications. However, great challenges still exist in further reducing the volume of near-eye display systems as there is also a limit when using only freeform optics. This paper introduces a novel method for designing compact freeform NED systems through a powerful optical-digital joint design. The method integrates a geometrical freeform optical design with deep learning of an image compensation neural network, addressing off-axis nonsymmetric structures with complex freeform surfaces. A design example is presented to demonstrate the effectiveness of the proposed method. Specifically, the volume of a freeform NED system is reduced by approximately 63% compared to the system designed by the traditional method, while still maintaining high-quality display performance. The proposed method opens a new pathway for the design of a next-generation ultra-compact NED system. [ABSTRACT FROM AUTHOR]

This paper proposes PestNet, a lightweight method for classifying crop pests, which improves upon MobileNet-V2 to address the high model complexity and low classification accuracy commonly found in pest classification research. Firstly, the training phase employs the AdamW optimizer and mixup data augmentation techniques to enhance the model's convergence and generalization capabilities. Secondly, the Adaptive Spatial Group-Wise Enhanced (ASGE) attention mechanism is introduced and integrated into the inverted residual blocks of the MobileNet-V2 model, boosting the model's ability to extract both local and global pest information. Additionally, a dual-branch feature fusion module is developed using convolutional kernels of varying sizes to enhance classification performance for pests of different scales under real-world conditions. Lastly, the model's activation function and overall architecture are optimized to reduce complexity. Experimental results on a proprietary pest dataset show that PestNet achieves classification accuracy and an F1 score of 87.62% and 86.90%, respectively, marking improvements of 4.20 percentage points and 5.86 percentage points over the baseline model. Moreover, PestNet's parameter count and floating-point operations are reduced by 14.10% and 37.50%, respectively, compared to the baseline model. When compared with ResNet-50, MobileNet V3-Large, and EfficientNet-B1, PestNet offers superior parameter efficiency and floating-point operation requirements, as well as improved pest classification accuracy. [ABSTRACT FROM AUTHOR]

Objective: To investigate the influence of physical exercise on insomnia and suicide among college students. Methods: A total of 8095 college students in Changsha were selected by cluster sampling and investigated with self-made general condition scale, physical activity scale and Athens insomnia scale. The multivariate Logistic regression analysis was used to explore the risk factors of insomnia and suicide among college students. Results: A total of 1859 college students (22.9%) were found to have insomnia behaviors. Of these, 763 (41%) and 1096 (59%) undergraduates had suicidal thoughts. The results of multivariate Logistic regression analysis showed that physical disease history, smoking, alcohol consumption, suicidal ideation, suicidal attempt and physical activity (P < 0.05) were all the independent influencing factors for insomnia among college students. Gender, physical disease history, suicide plan, suicide attempt, and physical activity (P < 0.05) were the independent influencing factors of suicidal ideation in insomnia college students. Conclusion: The detection rate of suicidal ideation is high in insomnia college students. Physical disease history, suicide attempt and physical activity may be the related factors of suicidal ideation. Physical activity was the influencing factor of college students' insomnia behavior, and heavy exercise was the independent protection factor of college students' insomnia behavior. At the same time, heavy exercise was a protective factor for insomnia college students with suicidal ideation. [ABSTRACT FROM AUTHOR]

Background and Purpose: The low efficacy of mesenchymal stem cells (MSCs) has restricted their application in the treatment of liver disease. Emerging evidence suggested that ferroptosis may provoke hepatocyte dysfunction and exacerbate damage to the liver microenvironment. Here, we have investigated the contribution of liver ferroptosis to the elimination and effectiveness of human MSC (hMSC). Furthermore, potential links between liver ferroptosis and aryl hydrocarbon receptors (AhR) were explored. Experimental Approach: Two mouse models, iron supplement‐induced hepatic ferroptosis and hepatic ischaemia/reperfusion (I/R) injury, were used to identify effects of ferroptosis on hMSC pharmacokinetics (PK)/pharmacodynamics (PD). Key Results: AhR inhibition attenuated hepatic ferroptosis and improved survival of hMSCs. hMSC viability was decreased by iron supplementation or serum from I/R mice. The AhR antagonist CH223191 reversed iron overload and oxidative stress induced by ferroptosis and increased hMSC concentration and efficacy in mouse models. Effects of CH223191 were greater than those of deferoxamine, a conventional ferroptosis inhibitor. Transcriptomic results suggested that the AhR–signal transducer and activator of transcription 3 (STAT3)–haem oxygenase 1/COX‐2 signalling pathway is critical to this process. These results were confirmed in a mouse model of hepatic I/R injury. In mice pre‐treated with CH223191, hMSC exhibited more potent protective effects, linked to decreased hepatic ferroptosis. Conclusion and Implications: Our findings showed that ferroptosis was a critical factor in determining the fate of hMSCs. Inhibition of AhR decreased hepatic ferroptosis, thereby increasing survival and therapeutic effects of hMSCs in mouse models of liver disease. [ABSTRACT FROM AUTHOR]