A base-stabilized germylenyl silaneditelluroate and 1,3-diaza-2-silaallylgermylene by Muhammad Luthfi Ismail, Ong, Melissa Xin-Yi, So, Cheuk-Wai

“…It was unstable in solution, but can be trapped by reacting with elemental tellurium and 2,6-diisopropylphenylazide ArN (Ar = 2,6-iPr C H ) to form the first base-stabilized germylenyl silaneditelluroate [L GeTeSi(=Te)L ] (4) and 1,3-diaza-2-silaallylgermylene complex [{L Si(NAr) }GeL ] (5), respectively. …”
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A study on reconstruction of linear scrambler using dual words of channel encoder by Liu, Xiaobei, Koh, Soo Ngee, Chui, Chee-Cheon, Wu, Xin-Wen

“…In this paper, the reconstruction of the feedback polynomial as well as the initial state of a linear feedback shift register (LFSR) in a synchronous scrambler placed after a channel encoder is studied. The study is first based on the assumption that the channel is noiseless and then extended to the noisy channel condition. …”
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Controllability of Markovian jump Boolean control networks by Meng, Min, Xiao, Gaoxi, Zhai, Chao, Li, Guoqi

“…In this paper, controllability of Markovian jump Boolean control networks (MJBCNs) is studied via semi-tensor product of matrices. First, based on the algebraic expression of the considered Boolean control networks, a necessary and sufficient condition for controllability is presented by iteration equations, which however may lead to high-dimensional matrices. …”
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An analytical model of a clamped sandwich beam under low-impulse mass impact by Gu, Yu, Liu, Ying, Jiang, Wen-zheng, Lu, G. X.

“…An analytical model is developed to examine a low impulsive projectile impact on a fully clamped sandwich beams by considering the coupled responses of the core and the face sheets. Firstly, based on the dynamic properties of foam cores, the sandwich beam is modeled as two rigid perfectly-plastic beams connected by rigid perfectly-plastic springs. …”
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Probabilistic calibration of stress-strain models for confined normal-strength concrete by Yu, Bo, Qin, Chenghui, Tao, Boxiong, Li, Bing

“…The probabilistic models for both peak stress and peak strain (strain corresponding to peak stress) of confined normal-strength concrete (NSC) were established first based on the Bayesian theory and the Markov chain Monte Carlo method. …”
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Theoretical and practical models for shear strength of corroded reinforced concrete columns by Yu, Bo, Ding, Zihao, Liu, Shengbin, Li, Bing

“…The deterioration mechanism for shear strength of the CRCC due to the steel reinforcement corrosion was explored first based on the shear mechanism analysis of the truss-arch model. …”
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Classification method for failure modes of RC columns based on key characteristic parameters by Yu, Bo, Yu, Zecheng, Li, Qiming, Li, Bing

“…The weight coefficients of seven characteristic parameters for failure modes of RC columns were determined first based on the support vector machine-recursive feature elimination. …”
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Energy harvesting from thermally induced vibrations of antenna panels by Yu, Dewen., Yang, Yaowen, Hu, Guobiao, Zhou, Yifan, Hong, Jun

“…A novel thermal-mechanical-electrical coupling model is developed to accurately predict the dynamic response of the system. Firstly, based on the comprehensive analysis of spatial heat fluxes, the transient thermal conduction equations are derived via the variational principle. …”
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Who is mentioning COVID-19 articles on twitter? Classifying twitter users in the context of scholarly communication by Ye, Estella Yingxin, Na, Jin-Cheon

“…This study aims to examine the demographics of participants engaged in scholarly communication on Twitter, which has been rebranded as X. Firstly, based on a dataset of tweets citing COVID-19 publications, it proposed a more precise classification system consisting of eleven user categories for individuals who tweeted academic publication. …”
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McDPC : multi-center density peak clustering by Wang, Yizhang, Wang, Di, Zhang, Xiaofeng, Pang, Wei, Miao, Chunyan, Tan, Ah-Hwee, Zhou, You

“…To address these limitations, we propose a novel clustering algorithm based on a hierarchical approach, named multi-center density peak clustering (McDPC). Firstly, based on a widely adopted hypothesis that the potential cluster centers are relatively far away from each other. …”
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Automatic clustering for unsupervised risk diagnosis of vehicle driving for smart road by Shi, Xiupeng, Wong, Yiik Diew, Chai, Chen, Li, Michael Zhi Feng, Chen, Tianyi, Zeng, Zeng

“…This study proposes a domain-specific automatic clustering (termed AutoCluster) to self-learn the optimal models for unsupervised risk assessment, which integrates key steps of clustering into an auto-optimisable pipeline, including feature and algorithm selection, hyperparameter auto-tuning. Firstly, based on surrogate conflict measures, a series of risk indicator features are constructed to represent temporal-spatial and kinematical risk exposures. …”
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