1,720,962 research outputs found
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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Single-Pot Solvothermal Synthesis of Single-Crystalline Nickel–Metal Organic Framework Nanosheets for Direct Iron Fuel Cell Applications
The usage of iron leads to the generation of large quantities
of
scrap iron, which is hazardous to health and causes environmental
pollution. Recycling techniques are expensive and involve high energy
consumption. Instead of recycling, scrap iron can be used as an alternative
potential source for fuel cell applications. Here, we report the synthesis
of a single-crystalline nickel-based MOF (Ni-MOF), via a single-pot
solvothermal technique, as an electrocatalyst to produce hydrogen
from scrap iron. Detailed characterization reveals the nanosheet morphology
of the Ni-MOF obtained by FESEM; at the same time Ni-MOF formation
is confirmed through the XRD spectrum. The as-synthesized Ni-MOF is
deposited on nickel foam (NF) and used as an electrocatalyst (Ni-MOF/NF)
which exhibits a peak current density of 8.8 A/g (scrap) and response
toward hydrogen production at an onset potential of 0.5 V (vs Hg/HgO).
The improved performance of the Ni-MOF/NF electrode is ascribed to
the high catalytic activity of Ni-MOF owing to the multiple oxidation
states of Ni (i.e., Ni2+/3+); the reversible transformation
between +2 and +3 oxidation states results in the redox peaks of the
catalytic reaction; and the organic ligands in the MOF structure help
in improving the conductivity and pore size of the material. The Ni-MOF/NF
electrode exhibits outstanding stability with ∼88.1 and ∼72.9%
capacity retention after 100,000 and 50,000 s for scrap and iron metal
powder, respectively. This proves that the theickel metal–organic
framework coated on nickel foam (Ni-MOF/NF) electrocatalyst is an
outstanding material for iron source-based fuel cell applications
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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
Hydrothermal Synthesis of Non-noble Hybrid Cu<sub>2</sub>S Decorated Nickel Foam and Its Enhanced Electrocatalytic Activity for Direct Aluminum Fuel Cell Application
Recycling of aluminum metal from scrap materials demands
a high
processing temperature, which releases several toxic gases to the
environment. In contrast, aluminum metal is known as the cleanest
and cheapest source for hydrogen production because of its 3+ oxidation state and spontaneous exothermic reaction with water molecules.
In this work, we report the hydrothermal synthesis of hybrid Cu2S decorated on nickel foam (NF) for direct aluminum fuel cell
application. The hybrid structure of the Cu2S nanoflake-
and nanosphere-based catalyst distributed on the three-dimensional
(3D) skeletal NF is revealed via detailed structural analysis. The
Cu2S/NF-8 catalyst electrode exhibits a maximum mass activity
of 106.7 mA/mg at an overpotential of 0.8 V (vs Hg/HgO) for a 40 mg
Al source. The high mass activity of the optimized Cu2S/NF-8
catalyst electrode is attributed to the hybrid Cu2S structure,
which facilitates improved electrocatalytic activity via its point
defects and metallic edges. Likewise, the high electrical conductivity,
chemical stability, and rapid charge transfer at the electrode with
a short diffusion path are because of the arrangements of the hybrid
Cu2S on the NF substrate. The stability and real-time performance
of the Cu2S/NF-8 catalyst electrode is successfully studied
via chronoamperometry in the presence of an Al ball and a scrap aluminum
source. The electrode exhibits a capacity retention of ∼60%
(for 7000 s; Al ball) and ∼35% (for 100000 s; scrap Al). This
proves the Cu2S/NF-8 catalyst electrode as a promising
platform for aluminum source-based fuel cell applications
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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