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Nanoindentation produced plastic deformation of arc-evaporated AlCrSiN and AlCrSiON nanocomposite films deposited on cemented-carbide substrates was investigated. The nanoindentation tests have the maximum penetration depth of 250 nm. Microstructure evolution in the indents was indicated by focused-ion-beam cutting and transmission-electron-microscopy observation. The results indicate that both the AlCrSiN and the AlCrSiON nanocomposite films exhibit excellent plasticity without the occurrence of microcrack initiation and propagation in the indents and grain boundaries. The prominent pile-up phenomenon produced by plastic flow was observed in the indent of the AlCrSiON film. Incorporating O into the AlCrSiN reduces both hardness and toughness of the film. This produces the pile-up in the AlCrSiON film when exposed to a nanoindenter. Rotation of the (Cr, Al)N nanograins and deflection of self-organized multilayer interface contribute to the plastic deformation of the AlCrSiN. However, shear band, interface deflection, and grain rotation contribute to the nanoindentationinduced plastic deformation of the AlCrSiON film., Funding Agencies|National Natural Science Foundation of China [51901048]; Natural Science Foundation of Guangdong Province [2019A1515012234]; open project of Key Laboratory of Green Fabrication and Surface Technology of Advanced Metal Materials [GFST2020KF06]

Successive cancellation list decoders with flip operations (SCL-Flip) can utilize re-decoding attempts to significantly improve the error-correction performance of polar codes. However, these re-decoding attempts result in extra computation complexity, which thus leads to increased energy consumption and decoding latency to the communication system adopting SCL-Flip decoders. To significantly reduce the computation complexity of current SCL-Flip decoders, we design a new adaptive SCL-Flip (AD-SCLF) decoder, which can be easily implemented based on existing SCL-Flip techniques. Simulation results showed that the AD-SCLF can reduce up to 80.85\% of the computational complexity of a current SCL-Flip decoder at a matched $FER=10^{-3}$. The result implies our decoder can significantly reduce the energy consumption caused by redundant re-decoding attempts from the SCL-Flip decoder.

Jinxing Li,1,2 Jing Huan,1 Fu Yang,1,2 Haixin Chen,2,3 Mingguang Wang,2 Xueyuan Heng2 1Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong, People’s Republic of China; 2Department of Neurosurgery, Linyi People’s Hospital, Linyi, 276000, Shandong, People’s Republic of China; 3Weifang Medical University, Weifang, 261053, Shandong, People’s Republic of ChinaCorrespondence: Xueyuan HengDepartment of Neurosurgery, Linyi People’s Hospital, Linyi, 276000, Shandong, People’s Republic of ChinaTel +86 13908990919Email hengxueyuan1962@126.com; hengxueyuan1962@163.comBackground: Lower-grade gliomas (LGGs) patients presented seizure-free have a worse survival than those presented with seizures. However, the current knowledge on its potential value in LGGs remains scarce.Purpose: This study aimed to identify a novel gene signature associated with seizures-free for predicting poor prognosis for LGGs patients.Materials and Methods: The RNA expression and clinical information of LGGs patients were downloaded from the Cancer Genome Atlas database. Differentially expressed genes (DEGs) were screened out between LGGs patients presented seizures-free and seizures. The novel gene signature was constructed by Lasso and multivariate regression analyses for predicting prognosis in LGGs. Its prognostic value was assessed and validated by Kaplan–Meier analyses and receiver operating characteristic (ROC) curves. Multivariate regression analysis was applied to identify the independent prognostic value of the gene signature. Furthermore, bioinformatics analysis was performed to elucidate the molecular mechanisms.Results: A total of 253 DEGs were screened out between LGG patients presented with seizures and free of seizures. A 5-gene signature (HIST1H4F, HORMAD2, LILRA3, PRSS33, and TBX20 genes) was constructed from these 253 DEGs. Kaplan–Meier analyses and ROC curves assessed and validated the good performance of the 5-gene signature in differentiating and pred