Influence of Forming Pressure on Properties of Yttrium Iron Garnet Ferrite

Chen, Zhigang; Li, Haihua

doi:10.1007/s12204-022-2478-6

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…As students pursue academic studies within the school setting, they also require physical activities to enhance their overall health. The school physical education environment provides foundational support for adolescents' engagement in competitive sports, physical activities during breaks, and structured physical education classes during their school years [6]. The presence and quality of school sports equipment play a significant role in motivating students to partake in physical activities and also influence decisions regarding the allocation of physical education classes and class sizes (Jian et al, 2008;Dong et al, 2008) [7][8].…”

Section: School Physical Education Environment and Adolescent Sports ...mentioning

confidence: 99%

Research on the Impact of School Physical Education Environment on Adolescent Peer Relationships

2023

appep

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This study aims to construct a structural equation model utilizing data from the China Education Panel Survey (CEPS) for the years 2014-2015, with the objective of examining the factors influencing adolescent peer relationships from the perspective of the school physical education environment. The methodology involves data screening, organization, and structural equation modeling analysis conducted using STATA 16.0 software. The findings reveal a significant pathway (coefficient = 0.99) from the school physical education environment to adolescent peer relationships, validating a direct and positive impact of the school physical education environment on these relationships. Additionally, the mediating effect of sports participation is confirmed (mediation coefficient = 0.23). In conclusion, both the school physical education environment and the extent of sports participation exert both direct and indirect influences on adolescent peer relationships, with specific attention drawn to the prominent role of school sports facilities in shaping these interactions.

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Section: School Physical Education Environment and Adolescent Sports ...mentioning

confidence: 99%

Research on the Impact of School Physical Education Environment on Adolescent Peer Relationships

2023

appep

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“…Through enterprise research, it has been observed that the current practice predominantly relies on manual inspection, which is time-consuming and labor-intensive. Companies aspire to replace manual inspection with machine vision technology to achieve automated detection, offering a more efficient and accurate solution [1,2]. As early as the 1990s, domestic and foreign scholars conducted research related to the identification of tire marking points.…”

Section: Introductionmentioning

confidence: 99%

Research on the Small Target Recognition Method of Automobile Tire Marking Points Based on Improved YOLOv5s

Guo,

Yang,

Sun

et al. 2023

Applied Sciences

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At present, the identification of tire marking points relies primarily on manual inspection, which is not only time-consuming and labor-intensive but also prone to false detections, significantly impacting enterprise efficiency. To achieve accurate recognition of tire marking points, this study proposes a small target feature recognition method for automotive tire marking points. In image pre-processing, MSRCR (Multi-Scale Retinex with Color Restoration) is invoked to enhance image features, which can be adapted to different environmental detection tasks. The YOLOv5s network is improved by adding a parameter-free simAM (Similarity Attention Mechanism) attention mechanism to improve the detection efficiency; adding a small target prediction head in the network to improve the minimum recognition size of the network; and changing the loss function to improve the network recognition performance. MAP, precision, and recall are important parameters. The comparison experiment with the traditional YOLOv5s network shows that the mAP of the improved YOLOv5s network and the original network is 0.86 and 0.955, respectively, and the mAP is increased by 9.5%. The precision is 0.87 and 0.96, an improvement of 9%, and the recall rate is 0.84 and 0.89, an improvement of 4%; the improved YOLOv5s model has a higher confidence level for small target recognition and is more suitable for application in practical detection tasks.

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Influence of Forming Pressure on Properties of Yttrium Iron Garnet Ferrite

Cited by 2 publications

References 25 publications

Research on the Impact of School Physical Education Environment on Adolescent Peer Relationships

Research on the Impact of School Physical Education Environment on Adolescent Peer Relationships

Research on the Small Target Recognition Method of Automobile Tire Marking Points Based on Improved YOLOv5s

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