Data_Sheet_1_Neural Tube Defects and ZIC4 Hypomethylation in Relation to Polycyclic Aromatic Hydrocarbon Exposure.docx by Yun Huang (169805)

“…Polycyclic aromatic hydrocarbons (PAHs), a group of environmental pollutants that are reported as a risk factor of NTDs, may cause decreased genome-wide DNA methylation. …”

Image_4_Neural Tube Defects and ZIC4 Hypomethylation in Relation to Polycyclic Aromatic Hydrocarbon Exposure.TIF by Yun Huang (169805)

“…Polycyclic aromatic hydrocarbons (PAHs), a group of environmental pollutants that are reported as a risk factor of NTDs, may cause decreased genome-wide DNA methylation. …”

Image_2_Neural Tube Defects and ZIC4 Hypomethylation in Relation to Polycyclic Aromatic Hydrocarbon Exposure.PNG by Yun Huang (169805)

“…Polycyclic aromatic hydrocarbons (PAHs), a group of environmental pollutants that are reported as a risk factor of NTDs, may cause decreased genome-wide DNA methylation. …”

Image_3_Neural Tube Defects and ZIC4 Hypomethylation in Relation to Polycyclic Aromatic Hydrocarbon Exposure.TIF by Yun Huang (169805)

“…Polycyclic aromatic hydrocarbons (PAHs), a group of environmental pollutants that are reported as a risk factor of NTDs, may cause decreased genome-wide DNA methylation. …”

DataSheet1_Protective Effects of Sacubitril/Valsartan on Cardiac Fibrosis and Function in Rats With Experimental Myocardial Infarction Involves Inhibition of Collagen Synthesis by... by Meifang Wu (117380)

“…In parallel, myocardial fibroblasts (MFs) isolated from neonatal SD rats were exposed to hypoxia and treated with TGF-β1 (5 ng/ml) plus vehicle, Val (10⁷–10^–5 M) or Sac/Val (10⁷–10⁵ M). …”

DataSheet_1_Chromatin dynamics associated with seed desiccation tolerance/sensitivity at early germination in Medicago truncatula.xlsx by Naoto Sano (12846914)

“…The seed DT is lost at early post germination stage but is temporally re-inducible in 1 mm radicles during the so-called DT window following a PEG treatment before being permanently silenced in 5 mm radicles of germinating seeds. …”

Image_1_Chromatin dynamics associated with seed desiccation tolerance/sensitivity at early germination in Medicago truncatula.tif by Naoto Sano (12846914)

“…The seed DT is lost at early post germination stage but is temporally re-inducible in 1 mm radicles during the so-called DT window following a PEG treatment before being permanently silenced in 5 mm radicles of germinating seeds. …”

Image_2_Chromatin dynamics associated with seed desiccation tolerance/sensitivity at early germination in Medicago truncatula.tif by Naoto Sano (12846914)

“…The seed DT is lost at early post germination stage but is temporally re-inducible in 1 mm radicles during the so-called DT window following a PEG treatment before being permanently silenced in 5 mm radicles of germinating seeds. …”

QC, including cluster size thresholding and declumping, improves precision, sometimes at the expense of recall, for images with lower SNR values. by Jenny M. Vo-Phamhi (11250803)

“…<b>(C)</b> Thresholding clusters by the number of annotations in the cluster and by the fraction of unique workers who contribute multiple times to the cluster improved recall by 17%, while decreasing precision by 11% on average, in an experiment with nine images with 50, 100, and 150 spots; mean SNR = 5, 10, and 15; and average nearest neighbor distance (NND) ≈ 11.5, 15, and 20.5.…”

Complementary conditioning measures across the clinical study groups. by Gabriela Ribeiro (4748373)

“…CS⁺ (F_{(1, 50)} = 5.2, <i>P</i> = 0.03), with a no significant effects for Group (F_{(2, 50)} = 0.1, <i>P</i> = 0.9) nor for interaction (F_{(2, 50)} = 0.9, <i>P</i> = 0.4). …”

Supplementary Figure 4 Effects of enriched environment on behavior of adult mice in the open field test by Fumio Soeda (9738569)

“…<p>The open field test consisted of two 5-minute trials in mice at 30 weeks old. In the second trial, ambulation (each of five 1-min periods) in the enriched group was significantly decreased compared to the standard group (a, left). …”

DC Response – recurrent dynamics. by Audrius V. Avizienis (145238)

“…<p>(a) Time traces of current response to 1 V DC bias show large current increases and decreases at all time scales around a mean of 5.81 µA (172 kΩ); shorter time traces (ii–iii) are subsets of (i). …”

Glutamate accelerates synaptic release from cone terminals. by Skyler L. Jackman (222281)

“…(C) Time-course of FM1-43 fluorescence decreases from cone terminals in darkness (<i>n</i> = 27, error bars are obscured by the data points) and 2 mM glutamate (<i>n</i> = 5). …”

Holding potential-sensitive K⁺ currents are sensitive to 4-AP. by Snezana Levic (336804)

“…<p>(<b>A</b>) An example of whole cell current recorded from apical HCs at E12 and E18 showing TEA and 4-AP-sensitive components, using the protocol described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0029005#pone-0029005-g001" target="_blank">Figure 1</a>. …”

Collagen type I monomers increase Phospho-Akt expression via PI3kinase activation. by Mirjam Stahl (487952)

“…Basal, constitutive phospho-Akt expression was high in AM from each 5 healthy donors and IPF patients. A non-selective inhibitor of PI3kinase, LY294002 (50 μM, DMSO as control), abrogated CCL18 production following stimulation with collagen type I monomers and decreased significantly spontaneous CCL18 production of AM (Panel <b>B</b>). …”

Signal-to-noise ratio (SNR) of cortical neurons recorded from all animals across distinct survival times. by Marco Aurelio M. Freire (197478)

“…In latter survival time (6 months after the array implant), quality of recordings decreased as compared to previous time point, though a good SNR still had been identified (standard deviation threshold: SNR>std(SNR) = 1; and SNRn = 5 animals by time point); values expressed as mean ± SEM. …”

Axial variation of arrestin-eGFP transgenes in the OS. by Mohammad Haeri (187573)

“…The first peak was ∼35% brighter than the next trough (N = 5 cells, p<0.03). Peak/trough ratios (P/T) were calculated for the first three light cycles closest to the base and then normalized to the first peak which was set 100% (Relative) and also after normalization to the mean (Normalized). …”

Data_Sheet_1_Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.docx by Natalia Jaworska (823848)

“…For each dataset, predictive features were extracted, followed by a model of all predictive features, and finally by a model of the most predictive features.</p><p>Results: Fifty eLORETA features were predictive of response (across bands, both time-points); alpha₁/theta eLORETA features showed the highest predictive value. …”

Data_Sheet_2_Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.docx by Natalia Jaworska (823848)

“…For each dataset, predictive features were extracted, followed by a model of all predictive features, and finally by a model of the most predictive features.</p><p>Results: Fifty eLORETA features were predictive of response (across bands, both time-points); alpha₁/theta eLORETA features showed the highest predictive value. …”

Supplementary Material for: <b><i>FTO</i></b> Genotype Interacts with Improvement in Aerobic Fitness on Body Weight Loss During Lifestyle Intervention by Sailer C. (4160164)

“…<b><i>Results:</i></b> Participants lost body weight (p < 0.0001) independent of <i>FTO</i> genotype (p = 0.5). There was a significant correlation between improvement in VO₂max and decrease in body weight (p < 0.0001). …”