131,164 research outputs found
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
PENGEMBANGAN MEDIA POP UP BOOK “DEKA” MATERI DAERAHKU DAN KEKAYAAN ALAMNYA UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS IV SDN BANJARHARJO
Penelitian ini dilatarbelakangi oleh permasalahan yang ada di kelas IV SD
Negeri Banjarharjo yaitu belum tersedianya media pembelajaran dalam proses
pembelajaran IPS. Penelitian ini bertujuan untuk menghasilkan media
pembelajaran berupa Pop Up Book “DEKA” yang layak dan praktis digunakan pada
pembelajaran IPS materi daerahku dan kekayaan alamnya untuk meningkatkan
hasil belajar siswa kelas IV SD Negeri Banjarharjo. Pengembangan media Pop Up Book “DEKA” menggunakan jenis penelitian Research and Development (R&D) dengan model pengembangan ADDIE yang melalui tahap analysis, design, development, implementation, dan evaluation. Subjek dalam penelitian ini adalah siswa kelas IV SD Negeri Banjarharjo yang terdiri dari 9 siswa dan 1 guru sebagai subjek uji coba. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, wawancara, dan angket. Adapun teknik analisis data yang digunakan adalah analisis deskriptif kuantitatif. Penelitian ini menghasilkan produk media Pop Up Book “DEKA” materi
daerahku dan kekayaan alamnya yang layak dan praktis digunakan pada
pembelajaran IPS di kelas IV SD Negeri Banjarharjo. Kelayakan dan kepraktisan
tersebut dibuktikan dengan hasil validasi ahli materi dan hasil validasi ahli media
yang mendapatkan skor rata-rata yang sama yaitu 5,00. Hasil uji kepraktisan pada
9 siswa mendapatkan skor rata-rata 4,85. Hasil uji kepraktisan pada guru
memperoleh skor rata-rata 5,00. Oleh karena itu, maka disimpulkan bahwa
keseluruhan skor yang diperoleh termasuk dalam kategori “Sangat Layak” dan
“Sangat Praktis”. Sehingga media Pop Up Book “DEKA” materi daerahku dan
kekayaan alamnya dapat digunakan untuk meningkatkan hasil belajar.
Kata Kunci: Pop Up Book, Daerahku dan Kekayaan Alamnya, Kelas I
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.
Energetics of ion competition in the DEKA selectivity filter of neuronal sodium channels
The energetics of ionic selectivity in the neuronal sodium channels is studied. A simple model constructed for the selectivity filter of the channel is used. The selectivity filter of this channel type contains aspartate (D), glutamate (E), lysine (K), and alanine (A) residues (the DEKA locus). We use Grand Canonical Monte Carlo simulations to compute equilibrium binding selectivity in the selectivity filter and to obtain various terms of the excess chemical potential from a particle insertion procedure based on Widom's method. We show that K+ ions in competition with Na+ are efficiently excluded from the selectivity filter due to entropic hard sphere exclusion. The dielectric constant of protein has no effect on this selectivity. Ca2+ ions, on the other hand, are excluded from the filter due to a free energetic penalty which is enhanced by the low dielectric constant of protein
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
Data on meq gene sequence analysis of Ludhiana MDV isolates
AbstractThe data described are related to the article entitled “Sequence Analysis of Meq oncogene among Indian isolates of Marek׳s Disease Herpesvirus” M. Gupta, D. Deka, Ramneek, 2016. Seven meq genes of Ludhiana Marek׳s disease virus (MDV) field isolates were PCR amplified by using proof reading Platinum Pfx DNA polymerase enzyme, sequenced and then analyzed for the distinct polymorphisms and point mutations. The sequences were named as LDH 1758, LDH 2003, LDH 2483, LDH 2614, LDH 2700, LDH 2929 and LDH 3262. At this point, their deduced Meq amino acid sequences were compared with GenBank available already sequenced meq genes worldwide in their deduced amino acid form to study their identity/similarity with each other
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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