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Yinan Li,윤웅찬,현명호 대한화학회 2011 Bulletin of the Korean Chemical Society Vol.32 No.1
A new phosphorescent cyclometalated heteroleptic iridium (III) complex with an ancillary ligand of 4-azacrownpicolinate was prepared and its metal ion selective phosphorescent chemosensing behavior was investigated. The new iridium (III) complex exhibits notable phosphorescence quenching for Hg^2+ in aqueous 50% acetonitrile solution with respect to the selective phosphorescent detection of various metal ions including Li^+, Na^+, K^+, Cs^+, Mg^2+, Ca^2+,Ba^2+, Fe^2+, Ni^2+, Cu^2+, Zn^2+, Ag^+, Pb^2+, Cd^2+, Cr^2+, Cr^3+ and Hg^2+. The phosphorescence quenching for Hg^2+ increased linearly with increasing concentration of Hg^2+ in the range of 10 μM - 700 μM even in the presence of other metal ions,except for Cu^2+. Consequently, the new iridium (III) complex has the potential to be utilized for the determination of parts per million levels of Hg^2+ in aqueous acetonitrile media.
Robust Non-negative Matrix Factorization with β-Divergence for Speech Separation
Yinan Li,Xiongwei Zhang,Meng Sun 한국전자통신연구원 2017 ETRI Journal Vol.39 No.1
This paper addresses the problem of unsupervised speech separation based on robust non-negative matrix factorization (RNMF) with β-divergence, when neither speech nor noise training data is available beforehand. We propose a robust version of non-negative matrix factorization, inspired by the recently developed sparse and low-rank decomposition, in which the data matrix is decomposed into the sum of a low-rank matrix and a sparse matrix. Efficient multiplicative update rules to minimize the β-divergence-based cost function are derived. A convolutional extension of the proposed algorithm is also proposed, which considers the time dependency of the non-negative noise bases. Experimental speech separation results show that the proposed convolutional RNMF successfully separates the repeating time-varying spectral structures from the magnitude spectrum of the mixture, and does so without any prior training.
Cobalt–Nickel Oxides with Three-Dimensional Hexagon Films for High Performance Supercapacitors
Yinan Lv,Guixia Dong,Lei Li,Jingrui Kang,Weidan Han 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2018 NANO Vol.13 No.3
Cobalt–nickel oxide electrode materials with three-dimensional hexagon films or flower-shaped structures have been synthesized by a chemical precipitation method at different thermal decomposition temperatures. Nickel ions enter into the lattice of Co3O4 by forming solid solution and promote primary nanoparticles partly self-assemble into three-dimensional hexagon films which interlace with each other to form a flower-like structure. Consequently, cobalt–nickel oxide with a Ni/Co mole ratio of 1:6 at 220 ℃ displays a highest capacitance of 796.16 F/g at 200 mA/g and cobalt–nickel oxide with a Ni/Co mole ratio of 1:3 at 200 ℃ exhibits a highest capacitance of 290 F/g at 10 A/g, which significantly improve the electrochemical properties of Co3O4.
Yinan Wang,Zhi Wang,Xiongliang Yao,Nana Yang,Zhipeng Chen 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.2
In this paper, the attitude changes of projectile and its influence parameters during the process of penetration on the ship plate structure are studied by material point method. The method is firstly verified by comparing with experimental results. The numerical results agree well with the experimental results. The failure behavior of the plate is similar to the actual situation, and the failure mode is basically the same. With the change of different parameters, the attitude of projectiles will change differently. The greater the penetration velocity, the weaker the influence of other related parameters on the projectile attitude. When other parameters are not changed, the relative size of the strength of stiffener and the thickness of target plate determines the change of the projectile attitude. Analyze from the perspective of energy and force, and finally projectile attitude can be divided into four types.
Yinan Zhao,Yanguo Xin,Zhuyin Song,Zhiyi He,Wenyu Hu 대한신경과학회 2019 Journal of Clinical Neurology Vol.15 No.1
Background and Purpose Tafamidis functions to delay the loss of function in transthyretin familial amyloid polyneuropathy (TTR-FAP), which is a rare inherited amyloidosis with progressive sensorimotor and autonomic polyneuropathy. This systematic literature review and meta-analysis evaluated the efficacy and safety of tafamidis in TTR-FAP patients, with the aim of improving the evidence-based medical evidence of this treatment option for TTP-FAP. Methods A systematic search of the English-language literature in five databases was performed through to May 31, 2018 by two reviewers who independently extracted data and assessed the risk of bias. We extracted efficacy and safety outcomes and performed a meta-analysis. Statistical tests were performed to check for heterogeneity and publication bias. Results The meta-analysis identified six relevant studies. The tafamidis group showed smaller changes from baseline in the Neuropathy Impairment Score–Lower Limbs [mean difference (MD)=-3.01, 95% confidence interval (CI)=-3.26 to -2.75, p<0.001] and the Norfolk Quality of Life-Diabetic Neuropathy total quality of life score (MD=-6.67, 95% CI=-9.70 to -3.64, p<0.001), and a higher modified body mass index (MD=72.45, 95% CI=69.41 to 75.49, p<0.001), with no significant difference in total adverse events [odds ratio (OR)=0.69, 95% CI=0.35 to 1.35, p= 0.27]. The incidence of adverse events did not differ between tafamidis and placebo treatment except for fatigue (OR=0.13, 95% CI=0.02 to 0.72, p=0.02) and hypesthesia (OR=0.16, 95% CI=0.03 to 0.92, p=0.04). Conclusions This systematic review and meta-analysis has demonstrated that tafamidis delays neurologic progression and preserves a better nutritional status and the quality of life. The rates of adverse events did not differ between the patients in the tafamidis and placebo groups. Tafamidis might be a safer noninvasive option for patients with TTR-FAP.
Yinan Song 한국멀티미디어학회 2024 The journal of multimedia information system Vol.11 No.1
In higher vocational English teaching, delivering teaching materials promptly and enabling instantaneous feedback is crucial for effective language learning. This paper presents a novel algorithm applying Adversarial Autoencoders (AAE) to reduce latency in 5G networks. The proposed algorithm integrates the characteristics of small base station collaboration, multicast, and predictable user behavior, namely the AAE-based collaborative multicast proactive caching scheme (AAE-CMPC). Initially, students are grouped into different preference clusters based on their characteristics. Subsequently, the AAE technique is employed to predict the content that each group might request. To reduce the redundancy of cache content, an ant colony algorithm is used to pre-deploy the predicted content to each small base station to realize the collaboration between small base stations. The proposed AAE-CMPC scheme demonstrates superior performance when compared to three benchmarks. The simulation results indicate that an increase in the storage capacity of the macro base station leads to a reduction in loss rate, and it can be attributed to the enhanced cache hit ratios achieved through proactive caching. The AAE-CMPC algorithm revolutionizes higher vocational English teaching by reducing latency and enabling instantaneous feedback. Students can access teaching materials promptly, receive real-time feedback on their progress, and engage in collaborative activities seamlessly. The framework also leverages edge computing, allowing for increased storage capacity, scalability, and reliability, resulting in an enriched learning experience.