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Summary: Background and Objectives: This study aimed to examine the associations between breastfeeding duration and metabolic syndrome (MetS) in adolescents and to further investigate the role of birth weight for gestational age (GA) on these associations. Methods: A total of 10 275 participants aged 7 to 18 years were included applying multistage cluster random sampling from a Chinese national survey. Birth weight was classified into small for GA (SGA), appropriate for GA (AGA) and large for GA (LGA). Information was collected through a self‐administered questionnaire, physical examination and blood biochemical examination. Multivariable linear regression, logistic regression models, restricted cubic spline models were applied to assess the relationships of breastfeeding duration and MetS with different birth weight for GA. Results: The prevalence of non‐breastfeeding, 0–5, 6–12 and >12 months groups were 16.2%, 23.1%, 42.5% and 18.2%, and the prevalence of SGA and LGA was 11.9% and 12.7%, respectively. Prolonged breastfeeding duration was associated with higher odds of MetS (β: 0.08, 95% CI: 0.03, 0.13), WC (β: 3.49, 95% CI: 2.82, 4.16) and SBP (β: 2.34, 95% CI: 1.80, 2.89). SGA and prolonged breastfeeding synergistically increased MetS risks, but LGA appeared to offset the adverse effects of prolonged breastfeeding. Conclusion: Prolonged breastfeeding may increase children's MetS risks. SGA synergies with prolonged breastfeeding increased MetS burden in children and adolescents, while LGA mitigated the risks. This reminds us that intensive attention should be paid to both early birth weight and subsequent living environment for children and adolescents' lifelong health. [ABSTRACT FROM AUTHOR]

This paper aims to achieve bedrock geologic mapping in the overburden area using big data, distributed computing, and deep learning techniques. First, the satellite Bouguer gravity anomaly with a resolution of 2'x2' in the range of E66°E96°, N40°-N55° and 1:5000000 Asia-European geological map are used to design a dataset for bedrock prediction. Then, starting from the gravity anomaly formula in the spherical coordinate system, we deduce the non-linear functional between rock density ρ and rock mineral composition m, content p, buried depth h, diagenesis time t and other variables. We analyze the feasibility of using deep neural network to approximate the above nonlinear generalization. The problem of solving deep neural network parameters is transformed into a non-convex optimization problem. We give an iterative, gradient descentbased solution algorithm for the non-convex optimization problem. Utilizing neural architecture search (NAS) and human-designed approach, we propose a geological-geophysical mapping network (GGMNet). The dataset for the network consists of both gravity anomaly and a priori geological information. The network has fast convergence speed and stable iteration during the training process. It also has better performance than a single neural network search or human-designed architectures, with the mean pixel accuracy (MAP) = 63.1% and the frequency weighted intersection over union (FWIoU) = 42.88. Finally, the GGMNet is used to predict the rock distribution of the Junggar Basin. [ABSTRACT FROM AUTHOR]

Circular bamboo furniture is an important carrier of traditional Chinese culture. In order to improve the adaptability of circular bamboo furniture, create a traditional cultural living environment, in this article, the cultural inheritance and development of traditional circular bamboo furniture were summarized, the principles and commonalities of circular bamboo furniture design were analyzed, and the artistic inheritance and cultural characteristics of traditional circular bamboo furniture were summarized. Meanwhile, the cultural phenomena in circular bamboo furniture was explored, the cultural symbols of circular bamboo furniture were excavated. On this basis, the consumption tendencies of modern round bamboo furniture was analyzed and the cultural orientation, environmental protection orientation, design orientation, and craftsmanship orientation jointly affected consumer decision-making. Moreover, the intelligent manufacturing innovation of modern round bamboo furniture was the concluded and the development path for intelligent manufacturing of round bamboo furniture was also proposed, which included standardized production, hardware connection methods, and modular components. Lastly, the development prospects of intelligent manufacturing of round bamboo furniture was put forward from four perspectives, including design, manufacturing, management, and service. [ABSTRACT FROM AUTHOR]

The eccentric compression behavior of the CFSTs reinforced with inner latticed steel angles was experimentally investigated, and test results, such as the load–displacement curves, load‐strain curves, distributions of lateral deflection, and ultimate load, were obtained and analyzed. Test results showed the influence of the latticed steel angles on the ultimate load was not obvious when the steel consumption was relatively small, and the lateral deformation was not obvious when the compression load was smaller than 80% of the ultimate load. The corresponding finite element (FE) model was established and validated by the test results, and parametric analysis was also conducted subsequent to validation. The analysis results showed the contribution of latticed steel angles to the ultimate load would be diminished as the eccentric distance increases. Moreover, the design equations for the ultimate load were proposed based on the FE results, and the calculation results indicated the proposed design equations can predict the ultimate load conservatively and safely. [ABSTRACT FROM AUTHOR]

In biology, economics, sociology as well as other fields, there is often a 2×2×2 asymmetric evolutionary game problem in which each party has a set of strategies, and different strategy combinations correspond to the specific pay-offs of each party. Since each participant dynamically adjusts the strategy for maximizing their own interests, the pay-off matrix plays an important role in the evolution of the game system. Based on the pay-off matrix, we probe into the resulting state of 2×2×2 asymmetric evolutionary games. The results show that from the information of the pay-off matrix, the judgement conditions for the system to evolve into three pure strategies, two pure strategies and one pure strategy can be determined directly. What is more, under a certain type of fixed pay-off matrix, the strategy combinations observed at different evolution times is always varying. Here, we explore the connection between the pay-off matrix and the evolution of behaviours through stability theory, and results obtained are conducive to deeply understand and predict the dynamic evolution of behaviour in game systems. [ABSTRACT FROM AUTHOR]