308,018 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
Allowing for heterogeneity in monetary subjective well-being valuations
Recent research on ‘happiness’ regression equations has shown how monetary values can be put on the well-being effects of many life events (like health problems, marriage or the death of a spouse). Potentially, such work has practical implications for policy-makers and the courts. However, this article argues that we need to be careful in such work to use the appropriate statistical method. It goes beyond previous research and allows for heterogeneity in the subjective well-being scales. Using less restrictive models than the current literature, the article argues that standard linear or ordered response models seem consistently to overstate valuations. With data from the UK, it provides new monetary estimates of the well-being consequences of a number of health problems, social capital indicators, marital status changes and social relationships
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
Ignition and burn control characteristics of thermonuclear plasmas
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 1990.Includes bibliographical references (leaves 232-238).by Emmanouil Antony Chaniotakis.Ph.D.Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 1990
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
This work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
Valutazione del background genetico di una coorte di individui dislessici mediante l'utilizzo di tecnologie ad alta processività
Il progresso tecnologico e la riduzione dei costi ha significativamente contribuito all'identificazioni delle cause genetiche di diverse malattie genetiche multifattoriali. In questo lavoro di dottorato riporto i risultati di un analisi genetica di una coorte di ragazzi dislessici utilizzando delle tecnologie ad alta processività come Next Generation Sequencing e SNP-array ad alta densità. La coorte in studio consiste di 49 soggetti con dislessia e 52 soggetti con dislessia e altre Disabilità Specifiche di Apprendimento (disortografia, disgrafia, discalculia). Tutti i campioni sono stati sequenziati utilizzando la piattaforma Ion Torrent, focalizzandosi sulle regioni codificanti e sulle giunzioni esone-introne, in 12 geni candidati (CMIP, CNTNAP2, CYP19A1, DCDC2, DIP2A, DYX1C1, GCFC2, KIAA0319, KIAA0319L, MRPL19, ROBO1, S100B), focalizzandosi sulle varianti non descritte in letteratura e in quelle rare (MAF G). Inoltre, diverse CNV sono state identificate che sovrappongono dei geni associati a problemi con il linguaggio, ma nessuna delle CNV con i geni riportati sopra. Infine, una copia di fratelli sono portatori di diverse duplicazioni localizzate nella regione 16p13.11, una regione di suscettibilità ai disordini di neurosviluppo. Il presente lavoro arrichisse la nostra conoscenza sul background genetico della coorte in studio. Nello stesso momento i risultati ottenuti devono essere ulteriormente analizzati per poter attribuire un ruolo a quanto possibile certo sul loro contributo all'insorgenza della dislessia.Technological improvements and continued cost reduction have significantly contributed to the progress of identifying the genetic causes of complex traits. Here we report the results of a genetic screening on a dyslexia cohort combining targeted next generation sequencing and high density SNP array. The study cohort consists of 49 subjects with dyslexia and 52 subjects with dyslexia and other specific learning disabilities (dysorthographia, dysgraphia, dyscalculia). All samples were sequenced on Ion Torrent platform, targeting the coding regions and their exone-intron boundaries of 12 candidate dyslexia genes (CMIP, CNTNAP2, CYP19A1, DCDC2, DIP2A, DYX1C1, GCFC2, KIAA0319, KIAA0319L, MRPL19, ROBO1, S100B), with focus on novel and rare variants. A subset of 54 samples was further analyzed, genotyping over 1.7 M markers (Multi Ethnic Global Array design, Ilumina), for copy number variation (CNV) discovery and characterization according to the literature. For this purpose, high confidence CNVs were obtained using the cnvPartition and the PennCNV calling algorithms. We report a total of 12 pathogenic predicted variants, among which two novel deleterious events (DIP2A:p.G1387* and KIAA0319:p.V774Afs*37) and a known rare splicing variant (GCFC2:c.266-2A>G). Moreover, several copy number variants were identified, overlapping some language related genes, but not any of the above sequenced genes. Finally, a sibling pair was found to harbor duplications in the chromosome band 16p13.11, a susceptibility region for several neurodevelopmental disorders. The present study enriches our knowledge about the genetic background in a dyslexia cohort. At the same time our findings emphasize the need for further research to attribute causative roles of these events for cohort phenotypes
[Report to Chief J. E. Curry, by an unknown author #2]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
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