7,148 research outputs found
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
Measuring industry-science links through inventor-author relations: A profiling method
Get PDFIn this pilot study we examine the performance of text-based profiling in recovering a set of validated inventor-author links. In a first step we match patents and publications solely based on their similarity in content. Next, we compare inventor and author names on the highest ranked matches for the occurrence of name matches. Finally, we compare these candidate matches with the names listed in a validated set of inventor-author names. Our text-based profile methodology performs significantly better than a random matching of patents and publications, suggesting that text-based profiling is a valuable complementary tool to the name searches used in previous studies.innovation; industry-science links; text-based profiling;
DNA fusion gene vaccination mobilizes effective anti-leukemic cytotoxic T lymphocytes from a tolerized repertoire
No full textThe majority of known human tumor-associated antigens derive from non-mutated self proteins. T cell tolerance, essential to prevent autoimmunity, must therefore be cautiously circumvented to generate cytotoxic T cell responses against these targets. Our strategy uses DNA fusion vaccines to activate high levels of peptide-specific CTL. Key foreign sequences from tetanus toxin activate tolerance-breaking CD4+ T cell help. Candidate MHC class Ibinding tumor peptide sequences are fused to the C terminus for optimal processing and presentation. To model performance against a leukemia-associated antigen in a tolerized setting, we constructed a fusion vaccine encoding an immunodominant CTL epitopederived from Friend murine leukemia virus gag protein (FMuLVgag) and vaccinated tolerant FMuLVgag-transgenic (gag-Tg) mice. Vaccination with the construct induced epitopespecificIFN-c-producing CD8+ T cells in normal and gag-Tg mice. The frequency and avidity of activated cells were reduced in gag-Tg mice, and no autoimmune injury resulted. However, these CD8+ T cells did exhibit gag-specific cytotoxicity in vitro and in vivo. Also, epitope-specific CTL killed FBL-3 leukemia cells expressing endogenous FMuLVgag antigen and protected against leukemia challenge in vivo. These results demonstrate a simple strategy to engage anti-microbial T cell help to activate epitope-specific polyclonal CD8+ T cell responses from a residual tolerized repertoire
Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers
Get PDFIn the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers)
Dynamics of Network Formation Processes in the Co-Author Model
Get PDFThis article studies the dynamics in the formation processes of a mutual consent network in game theory setting: the Co-Author Model. In this article, a limited observation is applied and analytical results are derived. Then, 2 parameters are varied: the number of individuals in the network and the initial probability of the links in the network in its initial state. A simulation result shows a finding that is consistent with an analytical result for a state of equilibrium while it also shows different possible equilibria.Dynamics, Network, Game Theory, Model,Simulation, Equilibrium, Complexity
Patent Femoropopliteal Vein Bypass Graft 45 Years after Implantation
No full textPatency of femoropopliteal vein bypass above the knee has been estimated between 69% and 77% at 5 years. This article reports a case of a patent femoropopliteal vein bypass 45 years after implantation without any reintervention. The morphologic alterations observed after 45 years at this vein bypass graft are additionally discussed. © The Author(s) 2016
Beïnvloeding Afvoerverdeling Rijn door Langsdammen
No full textHet doel van dit rapport is als volgt: “Het realiseerbare regelbereik van langsdammen in de Waal bepalen, waarbij een zo groot mogelijke bijdrage aan de gewenste verandering in de afvoerverdeling bij de Pannerdensche Kop in de scenario’s Piekafvoer en Hoge afvoer & storm wordt behaald, zonder dat dit resulteert in negatieve gevolgen bij de laagwaterscenario’s.” Een langsdam is een in de stroomrichting van de rivier geplaatste dam die de hoofdvaargeul scheidt van een oevergeul. Deze langsdammen worden, net als bij kribben, geplaatst om de vaarweg op zijn plaats te houden en om de vaarweg te versmallen bij laagwater, zodat de beperkingen op de maximale vaardiepte worden beperkt. Verder heeft een langsdam, in tegenstelling tot kribben, als gevolg dat de weerstand wordt verlaagd en het stroomvoerend oppervlak (het gedeelte van de rivier dat water afvoert) wordt vergroot en daardoor wordt de waterstand verlaagd. Aan de hand van het model SOBEK is bepaald wat het maximale regelbereik van deze langsdammen is bij een toepassingslengte van 0 tot 45 km. Het regelbereik varieert, afhankelijk van de diepte van de oevergeul tussen 0 en 2 m, tussen de 100 - 233 en de 144 - 328 m3/s voor de scenario's Hoge afvoer & storm en Piekafvoer. In het scenario Hoge afvoer & storm wordt het gewenste regelbereik van 1.128 m3/s niet gehaald, terwijl in het scenario Piekafvoer wel wordt voldaan aan het gewenste regelbereik van 282 m3/s. Dit gaat gepaard met een waterstandsdaling bij de Pannerdensche Kop van 19 cm in het scenario Hoge afvoer & storm en van 24 cm in het scenario Piekafvoer. Gevolg van deze maatregel is wel dat een waterstandsverhoging na 45 km bij Tiel optreedt van 14 cm respectievelijk 16 cm optreedt in het scenario Hoge afvoer & storm en Piekafvoer. Verder is er geconstateerd dat de maatregel Langsdammen geen negatieve gevolgen heeft voor de laagwaterscenario’s.Hydraulic EngineeringCivil Engineering and Geoscience
T : A Data-Centric, Cyber-Physical Cooling Energy Costs Reduction
No full textExplosion in Big Data has led to a surge in extremely large-scale Big Data Analytic platforms, resulting in burgeoning energy costs. Big Data compute model mandates strong data-locality for computation performance due to Big Data inertia and bandwidth constraints, and moves computations to data. State-of-the-art cooling energy management techniques rely on thermal-aware computational job placement/migration and are inherently data agnostic in nature. T* takes a novel data-centric approach to reduce cooling energy costs. On the physical side, T* is cognizant of the thermal-profile in the data centers. On the cyber-side, T* is aware of the differences in the data-semantics (i.e., computational job profile, job rate, and life spans) of the Big Data placed in the compute cloud. Based on this knowledge, and coupled with its predictive data models, T* does proactive, cyber-physical, thermal-aware data placement, which implicitly results in thermal-aware job placement in the Big Data Analytics cloud compute model. Evaluation results with one-month long real-world Big Data analytics production traces show up to 59% reduction in the cooling energy costs with T* while performing 9x better than the state-of-the-art data agnostic cooling techniques in the Big Data environment.Submitted by Rini Kaushik ([email protected]) on 2012-05-04T04:45:04Z
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Self-archiving practice and the influence of publisher policies in the social sciences
No full textAuthors in different disciplines exhibit very different behaviours on the so-called ‘green’ road to open access, i.e. self-archiving. This study looks at the self-archiving behaviour of authors publishing in leading journals in six social science disciplines. It tests the hypothesis that authors are self-archiving according to the norms of their respective disciplines rather than following self-archiving policies of publishers, and that, as a result, they are self-archiving significant numbers of publisher PDF versions. It finds significant levels of
self-archiving, as well as significant self-archiving of
the publisher PDF version, in all the disciplines
investigated. Publishers’ self-archiving policies have
no influence on author self-archiving practice
Thermotoga lettingae sp. nov., a novel thermophilic, methanol-degrading bacterium isolated from a thermophilic anaerobic reactor
No full textA novel, anaerobic, non-spore-forming, mobile, Gram-negative, thermophilic bacterium, strain TMO(T), was isolated from a thermophilic sulfate-reducing bioreactor operated at 65 degrees C with methanol as the sole substrate. The G C content of the DNA of strain TMO(T) was 39.2 molÐThe optimum pH, NaCl concentration, and temperature for growth were 7.0, 1.0°and 65 degrees C, respectively. Strain TMO(T) was able to degrade methanol to CO(2) and H(2) in syntrophic culture with Methanothermobacter thermautotrophicus DeltaH or Thermodesulfovibrio yellowstonii. Thiosulfate, elemental sulfur, Fe(III) and anthraquinone-2,6-disulfonate were able to serve as electron acceptors during methanol degradation. In the presence of thiosulfate or elemental sulfur, methanol was converted to CO(2) and partly to alanine. In pure culture, strain TMO(T) was also able to ferment methanol to acetate, CO(2) and H(2). However, this degradation occurred slower than in syntrophic cultures or in the presence of electron acceptors. Yeast extract was required for growth. Besides growing on methanol, strain TMO(T) grew by fermentation on a variety of carbohydrates including monomeric and oligomeric sugars, starch and xylan. Acetate, alanine, CO(2), H(2), and traces of ethanol, lactate and alpha-aminobutyrate were produced during glucose fermentation. Comparison of 16S rDNA genes revealed that strain TMO(T) is related to Thermotoga subterranea (98€and Thermotoga elfii (98Ž The type strain is TMO(T) (=DSM 14385(T)=ATCC BAA-301(T)). On the basis of the fact that these organisms differ physiologically from strain TMO(T), it is proposed that strain TMO(T) be classified as a new species, within the genus Thermotoga, as Thermotoga lettingae
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