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Hudson, Francis Lionel, 5448
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/393687Surname: HUDSON. Given Name(s) or Initials: FRANCIS LIONEL. Military Service Number or Last Known Location: 5448. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 13143.214747
Item: [2016.0049.25980] "Hudson, Francis Lionel, 5448
Block Card 5448 Asta Court
No full textThis 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: Cape Cod Style | 5448 Asta Court (Toledo, Ohio) | Dwelling | Evergreen Place Addition (Toledo, Ohio) | Wernerts Corners (Toledo, Ohio) | Trilby Area (Toledo, Ohio)
Block Card 5448 Bennett Road
No full textThis 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: dwelling | 5448 Bennett Road (Toledo, Ohio) | Ranch houses | North Toledo (Toledo, Ohio) | Greenwood Area (Toledo, Ohio) | Westview Par
GAS strain 5448 dissemination from skin to deep tissue.
No full text<p>Analysis of bacterial loads in liver, spleen, and skin wound tissue. C57Bl/6[hPg(Tg)] mice were injected with a dose of ∼1–2×10<sup>8</sup> CFU/100 µl of 5448 WT-5448/CovR<sup>+</sup>S<sup>+</sup>. At 3 days post-infection, organs were harvested and bacterial counts obtained from serial dilutions of homogenized tissues. Asterisks indicate statistical significance determined by unpaired two-tailed students t-test, P<0.001.</p
Gene expression in WT-5448/CovR<sup>+</sup>S<sup>+</sup> and mouse-passaged clones of 5448/CovR<sup>+</sup>S<sup>−</sup> in cells and in culture supernatants.
No full text<p>(A) Levels of SpeB enzymatic activity measured spectrophotometrically in conditioned culture supernatants of WT-5448/CovR<sup>+</sup>S<sup>+</sup> and mouse-passaged 5448-CovR<sup>+</sup>S<sup>−</sup> strain #12 (skin) from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0100698#pone-0100698-t002" target="_blank">Table 2</a>. Aliquots of the supernatants were sampled at various cell densities, measured as A<sub>600nm</sub>. 5448/CovR<sup>+</sup>S<sup>+</sup> shows the highest amount of SpeB activity when grown to early-SP (A<sub>600nm</sub> = 1.2). Very little SpeB is measured during LP (A<sub>600nm</sub> = 0.2–1.0). The data are expressed as A<sub>405nm</sub>, reflecting hydrolysis of the chromogenic substrate, after 90 min incubation. (B) Initial rates (V<sub>i</sub>) of hPg activation by culture supernatants sampled at various cell densities, reflecting SK activity in WT-5448/CovR<sup>+</sup>S<sup>+</sup> and mouse-passaged 5448/CovR<sup>+</sup>S<sup>−</sup> strain #12 (skin). Higher amounts of SK are present in conditioned culture media of 5448/CovR<sup>+</sup>S<sup>−</sup> strain #12 than in that obtained from growth of WT-5448/CovR<sup>+</sup>S<sup>+</sup>. *P<0.01 in a two-tailed comparison of each measurement between WT-5448/CovR<sup>+</sup>S<sup>+</sup> and 5448/CovR<sup>+</sup>S<sup>−</sup> strain #12 at the same cell densities. (C-D) The effect of mouse-passaged GAS 5448 on (C) <i>ska</i> and (D) <i>slo</i> gene transcription. Total RNA was isolated from washed cells harvested at mid-LP (A<sub>600nm</sub> ∼0.6) and early-SP (A<sub>600nm</sub> ∼1.2) growth. WT-5448/CovR<sup>+</sup>S<sup>+</sup> and 2 independent clones from mouse-passaged 5448/CovR<sup>+</sup>S<sup>−</sup> #12 (#12-1 and #12-2) and #14 (#14-1 and #14-2) were employed for the RT-PCR assays. The % gene expression levels the mouse-passaged strains are relative to those in WT-5448/CovR<sup>+</sup>S<sup>+</sup>.</p
[Sanders & Co., Engine Drawing Card, Sketch No. 5448]
No full textThis engine drawing card was created for Sanders & Co., Class 10-24 1/4 D. Section J-10 1/4 D. Sketch 5448. Copy Spec. B.4563
DNase activity and transcript levels in WT-5448/CovR<sup>+</sup>S<sup>+</sup> and mouse-passaged clones of 5448/CovR<sup>+</sup>S<sup>−</sup> in culture supernatants.
No full text<p>(A) Cultures of WT-5448/CovR<sup>+</sup>S<sup>+</sup> and clonal mouse-passaged 5448/CovR<sup>+</sup>S<sup>−</sup> isolates #12 (skin) and #14 (skin) were grown to mid-log phase (LP; A<sub>600nm</sub> ∼0.6) and their supernatants monitored for DNase activity. Supernatants were incubated with 1 µg of calf thymus DNA for 5 min at 37°C. DNase activity was confirmed by visualizing DNA fragmentation by ethidium bromide staining and UV-light detection. THY in lane 5 represents the negative control. <i>B</i>, The effect of mouse-passaged GAS 5448 on <i>sda1</i> gene expression is shown using mRNA isolated from washed cells harvested at mid-log phase (LP; A<sub>600nm</sub> ∼0.6) and early stationary phase (SP; A<sub>600nm</sub> ∼1.2) growth. WT-5448/CovR<sup>+</sup>S<sup>+</sup> and mouse-passaged isolates (5448/CovR<sup>+</sup>S<sup>−</sup>) #12 (skin) and #14 (skin) were employed. The relative % gene expression levels of the mouse-passaged strains are relative to those in WT-5448/CovR<sup>+</sup>S<sup>+</sup>.</p
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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