12,923 research outputs found

    Synthesis and electrocatalytic performance of high loading active PtRu multiwalled carbon nanotube catalyst for methanol oxidation

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    Multiwalled carbon nanotube (MWCNT) supported PtRu catalyst was prepared by improved aqueous impregnation method. The catalyst nanoparticles were characterized by using high resolution transmission electron microscopy (HR-TEM), X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) measurements. According to the results of physicochemical characterization, PtRu alloy nanoparticles with low content of surface oxidation states were successfully synthesized on the outer surface of MWCNT supporting materials. Electrocatalytic activity of catalyst materials was investigated by using electrochemical half cell and CO stripping analyses. Results of electrochemical measurements indicate that the prepared PtRu/MWCNT catalyst shows an enhanced electrochemical activity toward methanol oxidation and a high electrocatalytic activity for CO oxidation. It is believed that superior performance of the PtRu/MWCNT catalyst is mostly attributed to the high degree of alloy formation and low contents of oxidized species of Pt and Ru. © 2012 Elsevier Ltd. All rights reserved.

    Author Correction: Evaluation of skin cancer resection guide using hyper‑realistic in‑vitro phantom fabricated by 3D printing

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    The original version of this Article contained an error in the spelling of the author Taehun Kim which was incorrectly given as Teahun Kim. The original Article has been corrected

    Pulse electrodeposited PtSn electrocatalyst on a PEDOT/graphene-based electrode for ethanol oxidation in an acidic medium

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    Pulse electrodeposition of Pt and Sn using 10 mM H2PtCl6⋅6H2O in 0.10 M H2SO4 and 10 mM SnCl2⋅2H2O in 0.10 M HCl was conducted on a support matrix consisting of electropolymerized poly (3,4-ethylenedioxythiophene) (PEDOT) and electrochemically exfoliated graphene oxide (EGO). The Field Emission – Scanning Electron Microscopy (FE-SEM) studies of PtSn/PEDOT/EGO (i.e., PEDOT on EGO) showed a homogeneous globular composite, while PtSn/EGO/PEDOT (i.e., EGO on PEDOT) revealed a heterogeneous composite with wrinkled and globular surface morphologies. An Energy Dispersive X-ray (EDX) analysis (as a percentage of Pt and Sn) of PtSn/PEDOT/EGO is in agreement with the X-ray Photoelectron Spectroscopy (XPS) analysis, indicative of a homogeneous surface for the dispersion of metallic particles. However, the EDX and XPS analyses of PtSn/EGO/PEDOT showed variations in the amount of Pt and Sn, indicative of possible mixing of the EGO and PEDOT support matrices. Cyclic voltammetry (CV) and chronoamperometry using 1.0 M ethanol in 0.1 M H2SO4 demonstrated higher electrocatalytic activity (83.7 mA/cm2) and electrochemical stability (29.0% current retention) in PtSn/PEDOT/EGO than PtSn/EGO/PEDOT. © 2018 Hydrogen Energy Publications LLC1

    DBLP-derived labeled data for author name disambiguation

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    This is a DBLP-derived labeled data originally created by Dr. C. Lee Giles at Penn State University and filtered for duplicate removal and error correction by Dr. Jinseok Kim at University of Michigan. For more details, see references below.1. Kim, Jinseok (2018). Evaluating author name disambiguation for digital libraries: a case of DBLP. Scientometrics. doi:10.1007/s11192-018-2824-5 2. Kim, Jinseok & Kim, Jenna (2018). The impact of imbalanced training data on machine learning for author name disambiguation. Scientometrics. doi: 10.1007/s11192-018-2865-9Each row refers to an author name instance with following feature information separated by tab.author name: full name string extracted from DBLPunique author id: labels assigned manually by Dr. C. Lee Giles's teampaper id: assigned by Dr. Jinseok Kimauthor list: names of authors in the byline of the paperyear: publication yearvenue: conference or journal namestitle: stopwords removed and stemmed by the Porter's stemmerIf you want to use this dataset, please consider to cite papers below.For the original dataset: Han, H., Giles, L., Zha, H., Li, C., & Tsioutsiouliklis, K. (2004). Two Supervised Learning Approaches for Name Disambiguation in Author Citations. JCDL 2004: Proceedings of the Fourth ACM/IEEE Joint Conference on Digital Libraries, 296-305. doi:10.1145/996350.996419For the filtered dataset: 1. Kim, Jinseok (2018). Evaluating author name disambiguation for digital libraries: a case of DBLP. Scientometrics. doi:10.1007/s11192-018-2824-5 or2. Kim, Jinseok & Kim, Jenna (2018). The impact of imbalanced training data on machine learning for author name disambiguation. Scientometrics. doi: 10.1007/s11192-018-2865-9</div

    Khoo Kay Kim, professor of Malaysian history : a biobibliometric study

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    Presents an analysis of the publication productivity, authorship pattern, channels of communication, journal preference and language preference of Professor Dato' Khoo Kay Kim, Professor of Malaysian History in the University of Malaya, Kuala Lumpur. The results of this biobibliometric study indicate that he can be a role model for future Malaysian historians to emulate his various achievements especially in the field of history education

    Kim Gordon - no icon

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    As cofounder of legendary rock band Sonic Youth, best-selling author, and celebrated artist, Kim Gordon is one of the most singular and influential figures of the modern era. This personally curated scrapbook is an edgy and evocative portrait of Gordon s life, art, and style. Spanning from her childhood on Californian surf beaches in the 60s and 70s to New York s downtown art and music scene in the 80s and 90s where Sonic Youth was born. Through unpublished personal photographs, magazine and newspaper clippings, fashion editorials, and advertising campaigns, interspersed with Gordon s song lyrics, writings, artworks, private objects, and ephemera, this book demonstrates how Kim Gordon has been a role model for generations of women and me

    Overview of Recent Progress in Fire Suppression

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    this document is published in / Une version de ce document se trouve dans : Invited Keynote Lecture at the 2 nd NRIFD Symposium, Proceedings, Tokyo, Japan, July 17-19, 2002, pp. 1-13 www.nrc.ca/irc/ircpubs NRCC-45690 Title: OVERVIEW OF RECENT PROGRESS IN FIRE SUPPRESSION TECHNOLOGY Author(s): Andrew KIM Corresponding (first) author: Andrew Kim Academic degree: Ph.

    A note on Kim-Ma characterization of the Hilbert ball

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    This is an open access article under the CC BY license.[No abstract available]Kortney Rose Foundation, KRF, (2002-070-C00005); National Research Foundation of Korea, NRF* Corresponding author. E-mail addresses: [email protected] (K.-T. Kim), [email protected] (D. Ma). 1 Research supported in part by the grant KRF 2002-070-C00005 from The Korea Research Foundation

    High-throughput in vitro processing of human primary microRNA by the recombinant microprocessor

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    © 2021 The Author(s)We describe a protocol to conduct a high-throughput in vitro processing assay, using 1,881 human primary microRNAs (pri-miRNAs) and recombinant Microprocessor complex, followed by deep sequencing library generation. This comprehensive approach allows the mapping of cleavage sites and the measurement of processing efficiency of a large number of substrates simultaneously. Our protocol is readily modifiable to investigate the effects of chemicals and regulatory proteins. Moreover, cis-acting elements can be examined by replacing the wild-type pri-miRNAs with mutant variants. For complete details on the use and execution of this profile, please refer to Kim et al. (2021).11Nscopu
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