Supplementation of fungal and/or bacterial phytase in broiler diets formulated with reduced phosphorus level and different calcium contents by Nicole Batelli de Souza Nardelli (4660966)

“…However, regardless of the supplemented phytase, the 7.5:1.0 Ca:aP ratio decreased the feed conversion. Best results for bone P deposition were observed using diets containing the 4.5:1.0 Ca:aP and fungal phytase or the 4.5:1 and 6.0:1 Ca:aP ratios using the bacterial phytase. …”

Effects of connectivity density upon network potentiation. by Christian G. Fink (351173)

“…Network potentiation is displayed as a function of and re-wiring probability, as in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002939#pcbi-1002939-g002" target="_blank">Fig. 2</a>. …”

Solutions of the model describing transient and stable lamellipodia. by Juliane Zimmermann (520417)

“…Decreasing the capping rate has a similar effect as increasing the nucleation rate (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0087638#pone-0087638-g003" target="_blank">Fig. 3</a>). …”

Results from stepwise regression to establish the SAM² predictors that explained variance in the valence × neuroticism interaction in Studies 1-all, 2, and 3 (Fig 8). by Léo Dutriaux (3153684)

“…The five primary SAM² predictors (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0286954#pone.0286954.g001" target="_blank">Fig 1</a>) were then added one at a time into the original regression to assess how much each alone decreased the coefficient for the valence × neuroticism interaction (est_V×N). …”

Results from stepwise regression to establish the SAM² predictors that explained variance in the valence × self-control interaction in Studies 1-all, 2, and 3 (Fig 7). by Léo Dutriaux (3153684)

“…The five primary SAM² predictors (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0286954#pone.0286954.g001" target="_blank">Fig 1</a>) were then added one at a time into the original regression to assess how much each alone decreased the coefficient for the valence × self-control interaction (est_V×S). …”

Spectral power peaks in the <i>δ</i>– and <i>α</i>–frequency range depend differently on the CTC delay. by Meysam Hashemi (4114738)

“…<p>(A) For <i>τ</i> < 0.022 sec no peak in <i>α</i>–range can be observed (marked by a horizontal red line), whereas for <i>τ</i> ≥ 0.022 sec the <i>α</i>–power frequency decreases rapidly. …”

Opacity axis is not aligned with the viewing axis, but fixed along the left-right (left), inferior-superior (middle), or antero-posterior (right) axis. by Chantal M. W. Tax (606885)

“…<p>Frames (a) and (b) illustrate the difference between the two opacity functions <i>α</i>_decreasing (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139434#pone.0139434.e007" target="_blank">Eq (6)</a>) and <i>α</i>_increasing (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139434#pone.0139434.e008" target="_blank">Eq (7)</a>) on global transparency rendering (<b><i>n</i></b>_scatter, <i>c</i> = 10), respectively. …”

Characteristics of the 25 study sites on the map in Fig. 1. by Birte Rancka (710499)

“…</p><p>^bTree species with > 10% of total basal area given in decreasing percentage order</p><p>^cBasal areas for Bondberget given earlier [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0120085#pone.0120085.ref037" target="_blank">37</a>] are incorrect.…”

Patient Population Characteristics. by Guido van Marle (85183)

“…<p>Body mass index (BMI) (<b>A</b>) and sum of skin folds (<b>B</b>) of HIV infected individuals grouped by CD4+ cell count (CD4>400 cells/µL (n = 10), 400 to 200 cells/µL (n = 7), <200 cells/µL (n = 19)) compared to uninfected controls (n = 8), and Kaplan-Meier plots of our cohort of HIV infected individuals grouped by CD4+ cell counts (CD4>400 cells/µL (n = 13), 400 to 200 cells/µL (n = 10), <200 cells/µL (n = 19)) (<b>C</b>) and viral load (VL) (VL>100,000 copies/ml (n = 14), VL = 10,000–100,000 copies/ml (n = 10), <10,000 (n = 18)) (<b>D</b>) BMI and sum of skin folds was reduced in HIV infected individuals with a CD4+ T cell count <200 cell/µL, and survival probability decreased with decreasing CD4+ cell counts and increasing viral load. …”

Willingness of Students and Teachers to Use Cognitive Enhancers with Four Varying Characteristics. by Sebastian Sattler (434230)

“…<p>Each panel shows the mean willingness to use a CE pill on a 10-point Likert scale with the following anchors: 0 = “strongly against use” and 9 = “strongly in favor of use”. …”

Text S1 - Can Non-lytic CD8+ T Cells Drive HIV-1 Escape? by Nafisa-Katrin Seich al Basatena (201133)

“…<p>Supplementary <a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1003656#ppat.1003656.s001" target="_blank">Text S1</a> contains the following: Figure S1. …”

Impact of modifications to periplasmic volume around optimal solution of ABC cell at nutrient concentration of 1 nM. by Noele Norris (10826554)

“…<p>To understand why the periplasm inflates as the nutrient concentration decreases to 1 nM, we plot the proportion of bound transport units (A) and effective half-saturation constant, K_M, (B) as we modify the periplasmic volume of the optimal solution for a nutrient concentration of 1 nM. …”

Effects of synaptic transmission on network bursts. by Davide Lonardoni (4282318)

“…<p>(A) Mean firing rate (MFR) as a function of the decreasing AMPA conductance in AG-networks (i.e., networks with AMPA and GABA conductance, dashed lines) and AGN-networks (i.e., networks with AMPA, GABA and NMDA conductance, solid lines). …”

Density distributions of polarization by hour for Experiment 2. by Noam Miller (120315)

“…Distributions are averaged across the entire session (1800 frames per session) and all groups (8 groups of 8 fish each). A similar effect of habituation is seen to that observed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0048865#pone-0048865-g001" target="_blank">Figure 1</a>, with increased shoaling and decreased schooling as time passes (K-S test, hour 1 vs. hours 2–4, all p<0.001; see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0048865#pone.0048865.s008" target="_blank">Table S2</a>).…”

<i>In silico</i> inflammation profiles of aging in human tissues: Sex-specific lymphocyte signatures in skin. by William R. Swindell (175427)

“…<p>An algorithm for calculation of inflammation profiles based on microarray data was used to establish a gene expression-based mapping of inflammation events associated with aging in human skin and other tissue types (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0033204#s4" target="_blank">Methods</a> section and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0033204#pone-0033204-g002" target="_blank">Figure 2</a> from Swindell et al. …”

Influence of and on the Relative Concentration of Splicing Proteins in Nuclear Speckles by José Rino (81063)

“…The ratio increases with decreasing values, but stabilizes below a threshold of approximately 10^−1.5 s⁻¹. …”

Overall metabolic profiling statistics. by Olga Rafikova (2551594)

“…<p>Statistical comparisons using Welch’s Two-Sample t-Test show significantly altered metabolic changes in MCT-treated lungs (N = 10) compared with controls (N = 10, A). MCT significantly increased a large number of metabolites (465) but only significantly decreased 54 metabolites compared to the normal lung (p<0.05). …”

Schematic of signaling pathways inhibited by β-arrestin 2 aptamer binding. by Jonathan W. Kotula (552444)

“…For a detailed review of these pathways see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0093441#pone.0093441-Kovacs2" target="_blank">[10]</a>.…”

p38 and p28 are related SEL1L variants. by Monica Cattaneo (229992)

“…<p><u>A. Western blot analysis: </u>Lysates (50 ug) from different cell lines, including 293FT (embryo kidney), MCF10A (non-tumorigenic breast), MCF7, SKBr3 (breast cancer) and KMS11 (multiple myeloma), were resolved by SDS-PAGE (10%) and probed with monoclonal to SEL1L N-terminus. …”

Dominant functional categories of the genes whose transcript levels are reduced in adenomas of any of the three genera—Mouse, rat, and human. by Jennifer K. Pleiman (5724686)

“…<p>Functional categories (rows) enriched in the large list of 5477 genes (columns) having decreased transcript levels in tumors in any one of the three genera–mouse, rat, and human from among 19169 annotated genes. 218 populated GO sets showed enrichment at p < 10⁻⁵; a subset of these covering the union with low redundancy is shown in the figure. …”