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Young modulus experiment is a frequent item in university physics experimental courses, and in the process of doing Young modulus experiment, we will encounter problems such as difficulty in adjusting the device, difficulty in reading, and easy to break the wire line. This teaching method is based on the finite element method, which allows students to simulate and model Young modulus in CAE software after understanding the principle of Young modulus experiment. Modeling can deepen students’ understanding of Young modulus experiment. Adjusting the Young modulus of the model, the length and diameter of the wire and other parameters can quickly solve different experimental results and cultivate students’ research thinking.

Appropriate physical exercise has a positive impact on adolescents' physical and mental health, but there is a serious lack of physical exercise among Chinese adolescents. How to shape their exercise behavior (EB) has become an important task in promoting their development. A questionnaire survey was conducted using stratified cluster random sampling on three middle schools by class in Zhejiang Province, China to investigate the impact of exercise atmosphere (EA) on adolescents' exercise behavior and the mediating role of exercise identity (EI) and exercise habit (EH). 806 adolescents were investigated by the Exercise Atmosphere Scale (EAS), Exercise-Identity Scale (EIS), Self-Report Habit Index (SRHI), and Physical Activity Rating Scale (PARS-3). The results show that: There is a significant positive correlation between each two of exercise atmosphere, exercise identity, exercise habit, and exercise behavior (p < 0.05). Exercise atmosphere could not only directly affect adolescents' physical exercise behavior but can also indirectly affect their physical exercise behavior through the mediating effect of exercise identity and exercise habit, involving three mediating pathways, namely, the mediating path through exercise identity, the mediating pathway through exercise habit and the chain mediating pathway through exercise identity and exercise habit. The direct effect of exercise atmosphere on exercise behavior was 0.459 (p < 0.01), accounting for 62.62% of the total effect of 0.733, and its indirect effect was 0.274, accounting for 37.28% of the total effect. To a certain extent, the mediating effect model reveals the mechanism of exercise atmosphere affecting exercise behavior and has a certain reference value for promoting adolescents' exercise behavior. We should start by creating an exercise atmosphere, cultivating exercise identity, and enhancing exercise habits to help teenagers form active physical exercise behaviors. [ABSTRACT FROM AUTHOR]

Recently, deep learning has achieved considerable results in the hyperspectral image (HSI) classification. However, most available deep networks require ample and authentic samples to better train the models, which is expensive and inefficient in practical tasks. Existing few‐shot learning (FSL) methods generally ignore the potential relationships between non‐local spatial samples that would better represent the underlying features of HSI. To solve the above issues, a novel deep transformer and few‐shot learning (DT‐FSL) classification framework is proposed, attempting to realize fine‐grained classification of HSI with only a few‐shot instances. Specifically, the spatial attention and spectral query modules are introduced to overcome the constraint of the convolution kernel and consider the information between long‐distance location (non‐local) samples to reduce the uncertainty of classes. Next, the network is trained with episodes and task‐based learning strategies to learn a metric space, which can continuously enhance its modelling capability. Furthermore, the developed approach combines the advantages of domain adaptation to reduce the variation in inter‐domain distribution and realize distribution alignment. On three publicly available HSI data, extensive experiments have indicated that the proposed DT‐FSL yields better results concerning state‐of‐the‐art algorithms. [ABSTRACT FROM AUTHOR]

Due to soil repellency in burned areas, slope runoff and soil erodibility escalates following forest fires, increasing the vulnerability to post-fire debris flows. Soil aggregate stability is a critical determinant of soil infiltration capacity and erosion susceptibility. The prevalent method of assessing soil aggregate stability in burned areas, the counting the number of water drop impacts (CND) method, is time-intensive and impractical for in-situ measurements. In response, this study introduces a novel technique based on the shock and vibration damage (SVD) effect for evaluating soil aggregate stability in burned areas. Thirteen distinct soil aggregate types were meticulously prepared for indoor simulated fire testing, with due consideration to factors such as bulk weight, organic matter content, and water repellency, which influence stability of soil aggregates. Employing a custom-built test apparatus, the mass loss rate (MLR) of soil aggregates was determined through orthogonal experiments using the SVD method and compared against the standard CND technique's quantification of water droplet-induced aggregate destruction. The findings demonstrated that SVD method, employing Test Scheme 6 (testing 20 aggregates, 1-meter impact height, 40% water content, and five impacts), exhibits excellent agreement (Kendall coefficient = 0.797) and correlation (R² = 0.634) with CND method outcomes. This testing scheme, characterized by rapid determination and effective discrimination, is identified as the optimal testing approach. The SVD testing apparatus is straightforward, portable, and easily disassembled, rendering it suitable for on-site use. It can be used to distinguish the stability level of soil aggregates swiftly and quantitatively under various fire intensities in burned areas in situ, which is an important guiding significance for the study of soil erosion, erosion control, and post-fire debris flow initiation mechanism in burned areas. [ABSTRACT FROM AUTHOR]

This paper presents a novel reconstruction method based on multi-refraction to remedy the non-linear refraction, which recovers 3D geometry from 2D images. To simplify calibration, this paper prove that air calibration can replace underwater calibration. Finally, a multi-line rotating structured is designed to improve the measurement efficiency without additional equipment. The results of the clean water experiment show that the measurement accuracy is 1.91 mm within the 1000–2000 mm depth of field. The qualitative analysis demonstrates our method can reconstruct the surface topography of underwater U and N letter boards. In different Nephelometric Turbidity Unit (NTU) (as NTU = 0.156 mg/ml) environment, a circular plate with a diameter of 220 mm is measured, the shape reconstruction error (whether the reconstructed shape is a circular, square, or other) is 1.74 mm; the diameter measurement result is 218 mm, so the size error of the circular plate is 2 mm. [ABSTRACT FROM AUTHOR]