1,355,991 research outputs found
Spang, Othmil (view #2)
No full textA carte-de-visite card of Othmil Spang, a member of the Union army during the American Civil War.https://digitalcommons.lmunet.edu/allmcdv/1477/thumbnail.jp
Spang, Othmil (view #1)
No full textA carte-de-visite card of Othmil Spang, a member of the Union army during the American Civil War.https://digitalcommons.lmunet.edu/allmcdv/1476/thumbnail.jp
Olympe de Gouges: More than a Proto-Feminist
Get PDFThis paper won the 2012 Burgess Award. It was written for Spring 2012 HIST B356: French Revolution and Napoleon and was nominated for the Award by the course instructor, Prof. Spang
SPANG: a command-line client supporting query generation for distributed SPARQL endpoints
No full textAbstract. An increasing number of biological databases have been made available in the form of RDF that are accessible through SPARQL endpoints. These endpoints offer a valuable opportunity to utilize the RDF datasets as integrative databases. However, writing a SPARQL query often becomes a burden for biologists; thus, an easy-to-use querying tool for the SPARQL endpoints is necessary. Here, we developed SPANG, a command-line SPARQL client supporting query generation. SPANG can dynamically generate typical SPARQL queries according to the commandline arguments. SPANG can also use SPARQL templates existing in local system or on the Web. Further, SPANG allows a user to combine multiple queries, each with distinct target endpoints, via Unix pipe. These features enable easy access to RDF datasets through SPARQL endpoints, and enhance the integrative analysis of various biological data distributed across the Web. SPANG is freely available from http://purl.org/net/spang. Keywords: SPARQL client, distributed SPARQL endpoints, SPARQL template library Because of the rapid progress in biotechnologies, various types of biological data have been rapidly accumulating. The Semantic Web technology has attracted attention as a promising approach for integrating such growing heterogeneous data; thus, an increasing number of biological databases have been made available in the form of RDF through SPARQL endpoints SPANG is a command-line client that can dynamically generate SPARQL queries according to the command-line arguments. Basically, a single SPANG command submits a query to an endpoint. SPANG has two modes of operations: (i) SPARQL shortcut mode, where typical query patterns are generated according to command-line options; and (ii) SPARQL template mode, wher
Stuff and Money in the Time of the French Revolution, Rebecca L. Spang
No full textReview of the book Stuff and Money in the Time of the French Revolution by Rebecca L Spang (Cambridge, MA: Harvard University Press, 2015, 360 pp.: ISBN 9780674047037
F. S. Bennett and others
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How increasing numbers of learning curves can affect patients and practitioners
No full text Education is evolving in all areas of medicine, and aesthetics is no exception. However, as the number of products and procedures rises, there is a higher risk of both mistakes being made and patients being harmed. Angela Spang discusses how learning processes have changed from the days of ‘see one, do one, teach one’ and highlights the value of cadaver training in modern aesthetic practice </jats:p
Unconstraining Graph-Constrained Group Testing
Get PDFIn network tomography, one goal is to identify a small set of failed links in a network using as little information as possible. One way of setting up this problem is called graph-constrained group testing. Graph-constrained group testing is a variant of the classical combinatorial group testing problem, where the tests that one is allowed are additionally constrained by a graph. In this case, the graph is given by the underlying network topology.
The main contribution of this work is to show that for most graphs, the constraints imposed by the graph are no constraint at all. That is, the number of tests required to identify the failed links in graph-constrained group testing is near-optimal even for the corresponding group testing problem with no graph constraints. Our approach is based on a simple randomized construction of tests. To analyze our construction, we prove new results about the size of giant components in randomly sparsified graphs.
Finally, we provide empirical results which suggest that our connected-subgraph tests perform better not just in theory but also in practice, and in particular perform better on a real-world network topology
The road not taken: Less traveled roads from the TGN to the plasma membrane
Get PDFAbstract: The trans-Golgi network functions in the distribution of cargo into different transport vesicles that are destined to endosomes, lysosomes and the plasma membrane. Over the years, it has become clear that more than one transport pathway promotes plasma membrane localization of proteins. In spite of the importance of temporal and spatial control of protein localization at the plasma membrane, the regulation of sorting into and the formation of different transport containers are still poorly understood. In this review different transport pathways, with a special emphasis on exomer-dependent transport, and concepts of regulation and sorting at the TGN are discussed
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
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