1,727,504 research outputs found
Santa Fe (ATSF) 4052
A photograph print showing Santa Fe (ATSF) 4052, 2-8-2, Class 4000, So. Shawnee, OK. Back of photo details locomotive's specifications
Santa Fe (ATSF) 4052
A photograph print of Santa Fe (ATSF) 4052, 2-8-2 (BLW, class 4000), on a freight train, So. Shawnee, OK. [Developed at Houstin Payne photography, 120-1/2 Broadway, Shawnee, OK
Note sur le kouros délien A 4052
Lévêque Pierre. Note sur le kouros délien A 4052. In: Bulletin de correspondance hellénique. Supplément 1, 1973. pp. 287-290
Chicago, Rock Island & Pacific (RI) 4052
A photograph print showing the Chicago, Rock Island & Pacific (CRIP, RI, or ROCK) 4052, 4-8-2, Herington, KS
Block Card 4052 Ruskin Drive
This image was produced by the Auditor's Office in Lucas County, Ohio for tax assessment purposes. Associated dates are approximate. Descriptive terms related to this photograph include: Ranch houses | Dwelling | Fuller's Mount Vernon Addition (Toledo, Ohio) | Inverness Area (Toledo, Ohio) | 4052 Ruskin Drive (Toledo, Ohio
Block Card 4052 Hill Avenue
This image was produced by the Auditor's Office in Lucas County, Ohio for tax assessment purposes. Associated dates are approximate. Descriptive terms related to this photograph include: Ranch houses | Dwelling | Fuller's Hillway Addition Plat I (Toledo, Ohio) | Inverness Area (Toledo, Ohio) | 4052 Hill Avenue (Toledo, Ohio
Chicago, Rock Island & Pacific (RI) 4052
A photograph print of Chicago, Rock Island & Pacific (CRIP, RI, or ROCK) 4052, 4-8-2 (BLW, class 4000), on a freight train, So. Shawnee, OK. "The first engine cab I ever was in was on this engine, in the roundhouse, the night before this picture was taken." [Developed at Houstin Payne photography, 120-1/2 Broadway, Shawnee, OK
Effect of copper on fermentation, gene expression and protein production in AWRI 3471 and AWRI 4052.
(A) Growth as indicated by absorbance at 600 nm and (B) Sugar consumption of SSU1 wild type (AWRI 3471, blue) and ssu1(pr)Δ::ECM34(pr) (AWRI 4052, red) yeast strains during growth in defined medium with and without copper at 10 mg/L. Filled lines; standard defined medium, dashed lines; defined medium containing 10 mg/L copper. Arrow in (A) and (B) show sampling points used for RNAseq analysis. Points show mean of three replicates with error bars indicating standard deviation. (C) Relative transcript abundance grouped by Gene Ontology summary category for the contrast AWRI 4052 HCu–AWRI 3471 HCu, expressed as Log2 Fold Change (Log2FC) with red showing increased and blue decreased expression. Colour intensity highlights the P value score obtained from differential expression analysis undertaken with DEseq2. SSU1 was omitted from over-representation analysis and therefore does not appear in enriched ontology summaries. (D) Relative protein abundance shown as volcano plots with colours indicating increased (red) and decreased (blue) relative fold change for four contrasts i) AWRI 4052 –AWRI 3471, ii) AWRI 4052 HCu–AWRI 3471 HCu. Colours indicating increased (orange) and decreased (light blue) are used in plots iii) AWRI 4052 HCu–AWRI 4052, iv) AWRI 3471 HCu–AWRI 3471. Vertical dotted lines indicate Log2FC = 1 and horizontal dotted lines indicate an adjusted P value = 0.005. n = 3 in all cases. SSU1 is shown despite having P value > 0.005 in panel ii).</p
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
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