An Equivalent Homogenization Theoretical Method for Composite Sandwich Cylinders Subjected to Pure Bending by Yang Liu, Fuwei Gu, Mingxuan Li, Xiaofeng Lu, Xiaolei Zhu

“…An equivalent theoretical homogenization method was proposed for composite sandwich cylinders subjected to pure bending. Firstly, based on a homogeneous orthotropic layer hypothesis, the trapezoidal corrugated sandwich core was found to be equivalent in a homogenization orthotropic layer with the nine equivalent mechanical properties. …”
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A Novel Network-Based Computational Model for Prediction of Potential LncRNA–Disease Association by Yang Liu, Xiang Feng, Haochen Zhao, Zhanwei Xuan, Lei Wang

“…For this paper, a network-based model called NBLDA was proposed to discover potential lncRNA–disease associations, in which two novel lncRNA–disease weighted networks were constructed. They were first based on known lncRNA–disease associations and topological similarity of the lncRNA–disease association network, and then an lncRNA–lncRNA weighted matrix and a disease–disease weighted matrix were obtained based on a resource allocation strategy of unequal allocation and unbiased consistence. …”
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Research on carbon flow traceability system for distribution network based on blockchain and power flow calculation by Heyang Sun, Tong Li, Chao Yang, Yingli Zhang, Jinliang Song, Zhenjiang Lei, Gangjun Gong, Yang Liu

“…It realizes the calculation and tracing of carbon emission flow in power distribution network and ensures the reliability of carbon traceability results, high efficiency of information transmission and transparency of traceability process. Firstly, based on the characteristics of the master-slave multi-chain structure in the consortium chain, In this paper, high-voltage substation nodes are the main chain nodes, and carbon flow tracing and calculation are carried out for the associated low-voltage substations, and the information of high-voltage or low-voltage substation nodes is guaranteed to be tamper-free through the hash anchoring method. …”
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UAV-Based Remote Sensing for Soybean FVC, LCC, and Maturity Monitoring by Jingyu Hu, Jibo Yue, Xin Xu, Shaoyu Han, Tong Sun, Yang Liu, Haikuan Feng, Hongbo Qiao

“…We collected UAV-RGB images at key growth stages of soybean, namely, the podding (P1), early bulge (P2), peak bulge (P3), and maturity (P4) stages. Firstly, based on the above multi-period data, four regression techniques, namely, partial least squares regression (PLSR), multiple stepwise regression (MSR), random forest regression (RF), and Gaussian process regression (GPR), were used to estimate the LCC and FVC, respectively, and plot the images in combination with vegetation index (VI). …”
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