Tree Productivity Enhanced with Conversion from Forest to Urban Land Covers by Brittain M. Briber (786630)

“…We found that urban land uses held less than half the biomass of adjacent forest expanses with a plot level mean biomass density of 33.5 ± 8.0 Mg C ha^-1. …”

Blood perfusion assessed by dynamic MRI for Maximum Enhancement and Time-Signal Intensity by Hui H Sheng (37587)

Pharmacokinetics and pharmacodynamics after treatment of DIO-mice with HI, X10 and IGF-1 by sc injection. by Henning Hvid (486358)

“…Dotted line indicates mean blood glucose at time 0. Error bars; SEM. C: Plasma concentrations 0.5 h and >5 h after treatment with HI or X10, 600 nmol/kg. …”

ERG responses of <i>C. perspicillata</i> and <i>G. soricina</i> at mesopic conditions. by Brigitte Müller (371581)

“…Data points in (D) and (E) show mean±s.e.m.; n = 9 for <i>C. perspicillata</i> and n = 8 for <i>G. soricina</i>. …”

Time-course imaging result of DCE-MRI and DW-MRI. by Xiaomeng Zhang (182897)

“…The mean values of normalized K^trans decreased 69% for TH-302 treated mice in Hs766t tumors, decreased 46% for Mia PaCa-2 tumors and increased 5% in SU.86.86 tumors. …”

Fluorescence emission of human plasminogen (325 nm excitation). by Manuel Correia (113666)

“…Fitted parameter values and corresponding errors, and root mean square error values were obtained after fitting the kinetic trace (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0116737#pone.0116737.t005" target="_blank">Table 5</a>).…”

image_1_Impact of Aging on the Frequency, Phenotype, and Function of CD161-Expressing T Cells.PDF by Kornelis S. M. van der Geest (478975)

“…Taken together, aging is associated with a numerical decline of circulating CD161^high CD8⁺ T cells, as well as a decreased production of pro-inflammatory cytokines by CD161⁺ CD4⁺ T cells. …”

image_2_Impact of Aging on the Frequency, Phenotype, and Function of CD161-Expressing T Cells.PDF by Kornelis S. M. van der Geest (478975)

“…Taken together, aging is associated with a numerical decline of circulating CD161^high CD8⁺ T cells, as well as a decreased production of pro-inflammatory cytokines by CD161⁺ CD4⁺ T cells. …”

table_2_Impact of Aging on the Frequency, Phenotype, and Function of CD161-Expressing T Cells.PDF by Kornelis S. M. van der Geest (478975)

“…Taken together, aging is associated with a numerical decline of circulating CD161^high CD8⁺ T cells, as well as a decreased production of pro-inflammatory cytokines by CD161⁺ CD4⁺ T cells. …”

image_4_Impact of Aging on the Frequency, Phenotype, and Function of CD161-Expressing T Cells.PDF by Kornelis S. M. van der Geest (478975)

“…Taken together, aging is associated with a numerical decline of circulating CD161^high CD8⁺ T cells, as well as a decreased production of pro-inflammatory cytokines by CD161⁺ CD4⁺ T cells. …”

image_6_Impact of Aging on the Frequency, Phenotype, and Function of CD161-Expressing T Cells.PDF by Kornelis S. M. van der Geest (478975)

“…Taken together, aging is associated with a numerical decline of circulating CD161^high CD8⁺ T cells, as well as a decreased production of pro-inflammatory cytokines by CD161⁺ CD4⁺ T cells. …”

image_7_Impact of Aging on the Frequency, Phenotype, and Function of CD161-Expressing T Cells.PDF by Kornelis S. M. van der Geest (478975)

“…Taken together, aging is associated with a numerical decline of circulating CD161^high CD8⁺ T cells, as well as a decreased production of pro-inflammatory cytokines by CD161⁺ CD4⁺ T cells. …”

table_1_Impact of Aging on the Frequency, Phenotype, and Function of CD161-Expressing T Cells.PDF by Kornelis S. M. van der Geest (478975)

“…Taken together, aging is associated with a numerical decline of circulating CD161^high CD8⁺ T cells, as well as a decreased production of pro-inflammatory cytokines by CD161⁺ CD4⁺ T cells. …”

image_3_Impact of Aging on the Frequency, Phenotype, and Function of CD161-Expressing T Cells.PDF by Kornelis S. M. van der Geest (478975)

“…Taken together, aging is associated with a numerical decline of circulating CD161^high CD8⁺ T cells, as well as a decreased production of pro-inflammatory cytokines by CD161⁺ CD4⁺ T cells. …”

Age-related changes in TuJ1 and NF 200 expression in human ears. by Yazhi Xing (327214)

“…Nuclei were counterstained with PI (red). <b>D, E, F:</b> A marked decrease of NF200 immunoreactivity was seen in many SGNs of older donors. …”

Study of cellulose nanocrystals -enhanced natural gas foam performance and profile control & oil displacement mechanism by Hongkun Wei (19857652)

“…After mixing 1 vol% crude oil, the foam volume and half-life decrease by 12% and 4%, respectively. At reservoir temperature and pressure, the foam volume decreases by 12.7% and 10.5%, but the half-life increases by 4 hours and 3.7 hours, respectively. …”

Data Supplement from Epigenetic Targeting of Ovarian Cancer Stem Cells by Yinu Wang (14844702)

“…Low dose SGI-110 induces sustained cell cycle arrest on OC cells. A. Time-course cell cycle analysis of platinum sensitive A2780 ovarian cancer cells and platinum resistant A2780_CR5 and SKOV3 OC cells after 72 hour daily treatment with low dose SGI-110 (100nM). …”

Expression of the Δ9 Desaturase Genes in <i>nhr-80</i> by Trisha J Brock (63195)

“…<div><p>(A) Gene expression by QPCR in the <i>nhr-80</i> mutant reveals a decrease in expression of the Δ9 desaturase genes relative to wild type. …”

The effect of TGFβ-inhibitors in fPCLS on viability, gene expression of fibrosis markers and collagen 1 protein expression. by Inge M. Westra (584917)

“…<p>The effect of TGFβ-inhibitors perindopril (n = 5), valproic acid (n = 4), rosmarinic acid (n = 4), tetrandrine (n = 4) and pirfenidone (n = 5) on the viability (A), on the gene expression of fibrosis markers <i>Hsp47</i>, <i>αSma</i> and <i>Pcol1A1</i> (B) and on the collagen 1 protein expression (pictures are from a representative experiment) (C) of fPCLS from livers from BDL rats incubated for 48 hours. …”

Determination of the optimal conservation filter in PACCMIT. by Ray M. Marín (180919)

“…<p>(<b>A–B</b>) Number of validated targets per miRNA (panel <b>A</b>) and precision (panel <b>B</b>) of the top predictions of PACCMIT using different number <i>S</i> of species in the “Any-species” approach. …”