22 research outputs found
Increased pulmonary expression of CXCL10 and CCL2 in response to inhalation of attenuated mengovirus.
No full text<p>Mice received intranasal inoculations of 10<sup>6</sup> PFU of attenuated mengovirus, vMC<sub>0</sub>, an equivalent amount of UV-inactivated vMC<sub>0</sub>, or vehicle (n = 6 mice per group). Levels of (A) CXCL10 (IP-10) and (B) CCL2 (MCP-1) mRNA in lungs on day 1 postinoculation were determined by real-time quantitative RT-PCR and normalized to β-actin mRNA levels. (C) CCL2 protein levels in BAL fluid on day 2 postinoculation were determined by ELISA. Data are the total amount of CCL2 recovered (ELISA values were multiplied by the BAL fluid volume). ND, not detectable. Data are presented as box plots. * <i>P</i><0.01 (vMC<sub>0</sub> vs. vehicle or UV-inactivated vMC<sub>0</sub>).</p
sj-docx-2-spq-10.1177_01902725231210252 – Supplemental material for Working Together: Status Effects of Racial and Gender Identity on Teammate Selection
No full textSupplemental material, sj-docx-2-spq-10.1177_01902725231210252 for Working Together: Status Effects of Racial and Gender Identity on Teammate Selection by Jasm�n Bailey and John Skvoretz in Social Psychology Quarterly</p
sj-docx-1-spq-10.1177_01902725231210252 – Supplemental material for Working Together: Status Effects of Racial and Gender Identity on Teammate Selection
No full textSupplemental material, sj-docx-1-spq-10.1177_01902725231210252 for Working Together: Status Effects of Racial and Gender Identity on Teammate Selection by Jasm�n Bailey and John Skvoretz in Social Psychology Quarterly</p
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Ambient solar wind's effect on ICME transit times
No full textMost empirical and numerical models of Interplanetary Coronal Mass Ejection (ICME) propagation use the initial CME velocity as their primary, if not only, observational input. These models generally predict a wide spread of 1 AU transit times for ICMEs with the same initial velocity. We use a 3D coupled MHD model of the corona and heliosphere to determine the ambient solar wind's effect on the propagation of ICMEs from 30 solar radii to 1 AU. We quantitatively characterize this deceleration by the velocity of the upstream ambient solar wind. The effects of varying solar wind parameters on the ICME transit time are quantified and can explain the observed spread in transit times for ICMEs of the same initial velocity. We develop an adjustment formula that can be used in conjunction with other models to reduce the spread in predicted transit times of Earth-directed ICMEs
Ms. Ff. Mus. 1191 - Ode
No full textTelemannScore: 4f., Autograph: 1700-1724 (18.1q), 17 parts: 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1f. - S 1, 2, A, T, B rip, vl 1 (2x), vl 2 (2x), vla (2x), vlc (2x), org, fl traverso, ob 1, 2, Abschrift: 1700-1724; 21,5 (22) x 34,5 (35,5) cm, Schreiber: König, Johann Balthasar , Bemerkungen zum Material: B missing. - Besetzung: S (2), A, T, B, vl (2), vla, vlc, fl, ob (2), org. - Bemerkungen: Partitur, Vokalstimmen, org in G, übrige Instrumentalstimmen in B|b (Quelle: RISM)Jesus nimmt die Sünder a
Connectivity distributions for different network configurations.
No full text<p>The connectivity distribution for the shared characteristics network of group, treatment and disease (a) is described by a single scale distribution. The connectivity distribution for the preferential attachment network (c) is described by a power law distribution (The power law is of the form , with <i>α</i> = 2.83, <i>x<sub>min</sub></i> = 27, and <i>p value</i> = 0.138). For brevity, we do not include the shared characteristics networks generated by the: group, treatment; group, disease; disease, treatment.</p
Distribution of treatment success in oncology.
No full text<p>Distribution of treatment success in oncology expressed as survival hazard ratio (HR), where higher HR indicates more successful treatments. The curve illustrates slightly increased number of successful treatment consisted with a power law function.</p
Network configurations of social interactions of RCTs in cancer*.
No full text<p>Each node in the network represents a trial cited as the triplet denoting the COG it belongs to, the type of disease and treatment it studies. The networks have been constructed considering relationships between COG (a), type of disease (b), type of treatment (c), and the conjunction of all possible interactions (d). *For illustration reasons, only a limited number of RCTs is shown.</p
Average HR as a function of centrality measures for the shared characteristics network: group, disease, treatment.
No full text<p>There is no identifiable pattern between survival HR and the various centrality measures.</p
