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Selective surface functionalization at regions of high local curvature in graphene
Wu, Qingzhi,Wu, Yaping,Hao, Yufeng,Geng, Jianxin,Charlton, Matthew,Chen, Shanshan,Ren, Yujie,Ji, Hengxing,Li, Huifeng,Boukhvalov, Danil W.,Piner, Richard D.,Bielawski, Christopher W.,Ruoff, Rodney S. The Royal Society of Chemistry 2013 Chemical communications Vol.49 No.7
<P>Monolayer graphene was deposited on a Si wafer substrate decorated with SiO<SUB>2</SUB> nanoparticles (NPs) and then exposed to aryl radicals that were generated <I>in situ</I> from their diazonium precursors. Using micro-Raman mapping, the aryl radicals were found to selectively react with the regions of graphene that covered the NPs. The enhanced chemical reactivity was attributed to the increased strain energy induced by the local mechanical deformation of the graphene.</P> <P>Graphic Abstract</P><P>Due to the increased strain energy caused by local mechanical deformation, aryl radicals were found to selectively react with regions of graphene that were curved by underlying SiO<SUB>2</SUB> nanoparticles. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c2cc36747e'> </P>
( Shanshan Wu ),( Guobing Hu ),( Li Yang ),( Bin Gu ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.12
This study proposes an analytical approximation algorithm based on extreme value theory (EVT) for the inverse of the power of the incomplete Gamma function. First, the Gumbel function is used to approximate the power of the incomplete Gamma function, and the corresponding inverse problem is transformed into the inversion of an exponential function. Then, using the tail equivalence theorem, the normalized coefficient of the general Weibull distribution function is employed to replace the normalized coefficient of the random variable following a Gamma distribution, and the approximate closed form solution is obtained. The effects of equation parameters on the algorithm performance are evaluated through simulation analysis under various conditions, and the performance of this algorithm is compared to those of the Newton iterative algorithm and other existing approximate analytical algorithms. The proposed algorithm exhibits good approximation performance under appropriate parameter settings. Finally, the performance of this method is evaluated by calculating the thresholds of space-time block coding and space-frequency block coding pattern recognition in multiple-input and multiple-output orthogonal frequency division multiplexing. The analytical approximation method can be applied to other related situations involving the maximum statistics of independent and identically distributed random variables following Gamma distributions.
최고경영자 팀 다양성과 기업수명주기가 기술혁신활동 유형에 미치는 영향
오섬섬(Shanshan Wu),유재욱(Jae-Wook Yoo) 충남대학교 경영경제연구소 2019 경영경제연구 Vol.41 No.2
최고경영자 팀(TMT)이 기업의 기술혁신활동에 미치는 영향에 대한 선행연구들에서는 최고경영자 팀이 연구개발(R&D)투자에 미치는 영향을 분석했는데, 이는 차별적인 특성을 가질 수 있는 세분화된 기술혁신활동 유형에 미치는 TMT에 영향을 구분하지 않고 분석한 결과라는 측면에서 제한적인 시사점을 제공하고 있다. 본 연구는 선행연구들의 이 같은 한계점을 극복하고 보다 가치 있는 시사점을 제공하기 위하여 TMT 나이와 임기의 다양성이 제품혁신과 공정혁신으로 구분한 기업의 기술혁신활동 유형에 미친 영향을 비교하여 분석하고, 이들 관계에 대한 기업수명주기의 조절효과를 분석하는데 주된 목적을 두고 실행되었다. 한국과학기술정책연구원(STEPI)의 2014년도 한국기업 혁신조사자료, (주)NICE평가정보의 기업정보, 금융감독원 전자공시시스템에서 수집한 국내 120개 제조기업 자료들에 대한 다중회귀분석 결과에 따르면 TMT 나이다양성은 기업이 제품혁신보다 공정혁신을 더 선호하게 되는 요인으로 작용하는 반면, 임기다양성은 공정혁신보다 제품혁신을 더 선호하게 되는 요인으로 작용하였다. 또한 기업수명주기가 성장기인 기업들에서 보다 성숙기인 기업들에서 TMT 다양성과 혁신활동들 간의 이 같은 관계들이 더 중대한 것으로 나타났다. 연구의 분석결과는 TMT와 기술혁신 분야의 발전에 도움이 되는 학문적인 시사점들과 함께, 효과적인 기술혁신활동의 선택과 실행을 통해 빠르게 변화되는 경영환경에서 새로운 핵심역량과 경쟁우위 요소를 지속적으로 개발하고 활용해야 하는 국내 제조사들에게 실무적인 차원의 유용한 시사점을 제공하고 있다. The Prior researches on the relationship between TMT diversity and innovation have primarily focused on identifying the influence on R&D investments, while they do not explore the effects on the types of innovation activities. Furthermore, the impact of corporate life cycle on the strategic choice of firms have not examined by prior researches while there has been a great deal of concern about corporate life cycle in the academic and businesses communities. This study is designed to overcome these limitations of prior researches. In particular, this study aims to analyze the effect of TMT age and tenure diversity on company"s product innovation and process innovation and also the moderating effect of corporate life cycle on these relationships. The findings in multiple regression analysis show that TMT age diversity and tenure diversity have a differential effect on technological innovation activities of Korean manufacturing firms. Specifically, TMT age diversity has a more significant impact on process innovation than the product innovation, whereas TMT tenure diversity has a more significant impact on product innovation than process innovation. They also reveal that the relationship between TMT age diversity and innovation activity and also the relationship between TMT tenure diversity and innovation activity were more significant in the firms of mature stage compared to the firms in growth stage.
Wu Minrong,Li Shanshan,Chen Hongyan,Duan Wenqi,Shafiee Mohammadreza 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
In recent decades, in the use of science and technology, extensive research has been conducted on an academic and industrial scale to introduce new sources of energy that are fully constructed to meet the needs of today’s human beings. One of these new sources that use your special energy is a fuel cell. A fuel cell is a clean source that converts the chemical energy in a fuel directly into electrical energy by performing two separate electrochemical reactions separately. Providing a proper model for the Solid Oxide Fuel Cell (SOFC) as one of the useful fuel cells is critical for reducing the costs of the design. However, the complexity of this problem made it a challenging task owing to the complex and highly nonlinear nature. Particularly, for SOFCs, the model should be optimized under diff erent temperature and pressure operating conditions. The present study proposes a newly developed version of the Water Strider Algorithm, called Fractional-order Water Strider Algorithm (FOWSA) for optimal identifi cation of the SOFC parameters. Using the proposed FOWSA is introduced to improve the original WSA to provide better convergence and global optimization results. The effi ciency of the suggested FOWSA has been fi rstly validated and then, the designed method is performed to a practical case study and the sensitivity analysis in terms of temperature and pressure. The fi nal results indicate that the suggested method shows outstanding effi ciency toward the compared methods.
A brain somatic RHEB doublet mutation causes focal cortical dysplasia type II
Shanshan Zhao,Zhenghui Li,Muxian Zhang,Lingliang Zhang,Honghua Zheng,Jinhuan Ning,Yanyan Wang,Feng-Peng Wang,Xiaobin Zhang,Hexia Gan,Yuanqing Wang,Xian Zhang,Hong Luo,Guojun Bu,Huaxi Xu,Yi Yao,Yun-wu 생화학분자생물학회 2019 Experimental and molecular medicine Vol.51 No.-
Focal cortical dysplasia type II (FCDII) is a cerebral cortex malformation characterized by local cortical structure disorganization, neuronal dysmorphology, and refractory epilepsy. Brain somatic mutations in several genes involved in the PI3K/AKT/mTOR pathway are associated with FCDII, but they are only found in a proportion of patients with FCDII. The genetic causes underlying the development FCDII in other patients remain unclear. Here, we carried out whole exome sequencing and targeted sequencing in paired brain–blood DNA from patients with FCDII and identified a brain somatic doublet mutation c.(A104T, C105A) in the Ras homolog, mTORC1 binding (RHEB) gene, which led to the RHEB p.Y35L mutation in one patient with FCDII. This RHEB mutation carrier had a dramatic increase of ribosomal protein S6 phosphorylation, indicating mTOR activation in the region of the brain lesion. The RHEB p.Y35L mutant protein had increased GTPλS-binding activity compared with wild-type RHEB. Overexpression of the RHEB p. Y35L variant in cultured cells also resulted in elevated S6 phosphorylation compared to wild-type RHEB. Importantly, in utero electroporation of the RHEB p.Y35L variant in mice induced S6 phosphorylation, cytomegalic neurons, dysregulated neuron migration, abnormal electroencephalogram, and seizures, all of which are found in patients with FCDII. Rapamycin treatment rescued abnormal electroencephalograms and alleviated seizures in these mice. These results demonstrate that brain somatic mutations in RHEB are also responsible for the pathogenesis of FCDII, indicating that aberrant activation of mTOR signaling is a primary driver and potential drug target for FCDII.
Research in Distributed Evolution based on Real-time Collaboration Technology
Shanshan Wang,Liping Gao,Sizhen Zhu,Chunxue Wu 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.3
Evolution design takes the advantage of the evolution technology into the art design, and designers can achieve satisfactory products by performing evolutionary operations. It’s a powerful method in the procedure of the art design. However, the traditional evolution running on single site leads to the low efficiency and the less diversity. In addition, the products just represent the aesthetics of the single site. Based on these problems, this paper aims at using distributed evolution technology to complete the collaborative evolution, broadcasting evolutionary operations among distributed sites and executing evolutionary operations on each site. Then, the acquired products could represent the aesthetics of most sites due to its rich diversity. The paper mainly solves the problems of the operation conflicts which come from different sites, builds a new hybrid document model designs several algorithms based on Operation Transformation (OT) to solve the conflicts, and describes the procedure of the consistency maintenance. The proposed solution has been theoretically verified for its correctness in hybrid model.