131,710 research outputs found
D. Milstead
this report, results from the H1 and ZEUS experiments are presented on single jets, di-jets and high transverse momentum single particles in the forward region at small Bjorken-x. 2 Result
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.
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
Physalaemus riograndensis Milstead 1960
<i>Physalaemus riograndensis</i> Milstead, 1960 <p> We found a single call type for the species, referred to as call A. The call is composed of a single harmonic note with high fundamental frequency (<i>ca.</i> 1000 Hz). It has a general downward FM throughout the call, with an up-downward FM segment in the its first third.</p> <p> <b>Call A (Fig. 45 A–F and 42D).</b> We examined 14 recordings, a total of 31 minutes, with <i>ca</i>. 820 calls from 50 males. Only some of these calls were measured (see Table 2). Call duration varies from 0.691 to 0.835 s. The envelope of the call is variable (Fig. 45A, C, D). In most calls, the limits between the call rise, sustain, and call fall are not clear. Calls usually have a short segment with very low amplitude at the beginning of the call, separated from the rest of the call by an abrupt change in amplitude. The shape of the call rise and fall is usually exponential. The sustain is irregular, usually composed of a shallow or deep valley (<i>i.e.</i>, with a concave shape; Fig. 45D). The amplitude peak is often at around the middle or after one third of the call duration. The envelope varies from elliptic (Fig. 45A, D) to triangular (pointed right; Fig. 45C). Due to the concave shape of the sustain, the triangular shape of some calls resembles an arrow. More than 50 % of the call energy is concentrated in 27 % of the call duration around the amplitude peak. There is no PAM in the call. The call has a harmonic series (Fig. 42D). The fundamental frequency is <i>ca.</i> 1020 Hz and the first six harmonics are generally emphasized. The wave periods are regular and harmonics are clear throughout the call. The dominant frequency varies from <i>ca</i>. 950 to 1030 Hz (Fig. 42D). The first harmonic is the dominant (Fig. 42D, 45B, E, F). There is a clear shift in relative energy among bands. Although, usually, there is no shift in the dominant frequency, the higher bands get more energy towards the end of the call (Fig. 42D). Most of the call energy is between 850 and 1150 Hz (one harmonic). The call has a general downward FM (45B, E, F). Additionally, calls have an up-downward FM in the first third of the call duration, leading to arc-shaped bands in this part of the call, and a short upward FM at the end (45B, E, F). The general downward FM and the initial updownward FM result in S-shaped harmonics when considering the entire call. There is no PFM.</p>Published as part of <i>Hepp, Fábio & Pombal, José P., 2020, Review of bioacoustical traits in the genus Physalaemus Fitzinger, 1826 (Anura: Leptodactylidae: Leiuperinae), pp. 1-106 in Zootaxa 4725 (1)</i> on page 76, DOI: 10.11646/zootaxa.4725.1.1, <a href="http://zenodo.org/record/3612996">http://zenodo.org/record/3612996</a>
The R&D Tax Incentives
This article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
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