130,519 research outputs found
Data from the paper: D. Malko and A. Kucernak, "Kinetic isotope effect in the oxygen reduction reaction (ORR) over Fe-N/C catalysts under acidic and alkaline conditions", Electrochemistry Communications,2017, https://doi.org/10.1016/j.elecom.2017.09.004
<p>Data used to generate the figures in the paper: D. Malko and A. Kucernak, "Kinetic isotope effect in the oxygen reduction reaction (ORR) over Fe-N/C catalysts under acidic and alkaline conditions", Electrochemistry Communications,2017, https://doi.org/10.1016/j.elecom.2017.09.004</p>
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Data file for paper: " In situ electrochemical quantification of active sites in Fe–N/C non-precious metal catalysts.", Nature. Communications, 7, 13285 doi: 10.1038/ncomms13285 (2016).
<p>The data in this spreadsheet was used to produce the figures in the paper</p>
<p>Malko, D., Kucernak, A and Lopes, T, " In situ electrochemical quantification of active sites in Fe–N/C non-precious metal catalysts." </p>
<p>Nat. Commun., 7, 13285 doi: 10.1038/ncomms13285 (2016).</p>
<p>Please cite the above reference if you wish to use this data</p>
Performance of Fe-N/C oxygen reduction electrocatalysts towards NO2-, NO, and NH2OH electroreduction – from fundamental insights into the active centre to a new method for environmental nitrite destruction
<p>This Excel data file contains the data used to produce the figures in the paper:</p>
<p>Malko, D., Kucernak, A and Lopes, T, " Performance of Fe-N/C oxygen reduction electrocatalysts towards NO2-, NO, and NH2OH electroreduction – from fundamental insights into the active centre to a new method for environmental nitrite destruction"</p>
<p>Journal of the American Chemical Society, 2016, DOI:10.1021/jacs.6b09622</p>
<p>Please cite the above reference if you wish to use this data</p>
MeSH term explosion and author rank improve expert recommendations
Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Influence of the Core Size on Biexciton Quantum Yield of Giant CdSe/CdS Nanocrystals
We present a systematic study of photoluminescence (PL) emission intensity and biexciton (BX) quantum yields (QY_{BX}) in individual "giant" CdSe/CdS nanocrystals (g-NCs) as a function of g-NC core size and shell thickness. We show that g-NC core size significantly affects QY_{BX} and can be utilized as an effective tuning parameter towards higher QY_{BX} while keeping the total volume of the g-NC constant. Specifically, we observe that small-core (2.2 nm diameter) CdSe/CdS NCs with a volume of ~200 nm³ (shell comprises 4 CdS monolayers) show very low average and maximum QY_{BX}'s of ~3 and 7%, respectively. In contrast, same-volume medium-core (3 nm diameter) NCs afford higher average values of ~10%, while QY_{BX}'s of ~30% are achieved for same-volume large-core (5.5 nm diameter) CdSe/CdS NCs, with some approaching ~80%. These observations underline the influence of the g-NC core size on the evolution of PL emissive states in multi-shell NCs. Moreover, our study also reveals that the use of long anneal times in the growth of CdS shells plays a critical role in achieving high QY_{BX}."UT Dallas group (A.V.M. and S.S.) acknowledges partial support from the DOE/BES grant (DE-SC0010697), while B.D.M., J.A.H. and H.H. acknowledge partial support by a Single Investigator Small Group Research Grant (2009LANL1096), Office of Basic Energy Sciences (OBES), Office of Science (OS), U.S. Department of Energy (DOE).
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
At the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
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