Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

Subjects:

Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

Subjects:

Voxel-based whole-hemisphere analysis shows regional and dose-dependent decrease of microglia. by Francesca Catto (21253435)

“…<p>(A) Each 3-dimensional map of statistically affected voxels (p < 0.05, with the red scale, representing the significance in decrease of microglia, and the cyan scale, representing the increase in microglia; reference atlas is grey) summarizes all the treated and control samples within a cohort (3 samples per group). …”

AdMSC-EVs enhanced colony formation and migration of LECs and decreased proliferation. by Xiaoqin Li (1399105)

Principal component analyses indicates no significant separation based on the type of brain regions. by Marcell Miski (11965487)

Top 10 significant functional annotations of down-regulated DEGs. by Meitner Cadena (22216261)

“…Functional annotations are ordered by decreasing significance, with color indicating significance level based on the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…”

Synthesis and visualisation of prior brain imaging and stimulation results involving reaching. by Aoife M. Fitzpatrick (13955365)

Comparison of the fraction of significant voxels between original and control word vector-based models. by Satoshi Nishida (690175)

Significant decrease of the viability of A375 melanoma cells after CD treatment. by Lena Berning (7430117)

Cortical mapping of the fraction of significant voxels for binary-labeling models. by Satoshi Nishida (690175)

Distribution of voxels across functional brain networks in significant seed-based connectivity clusters. by Sadeq Mohammadi (22622219)

“…<p>Bar plot showing the number of voxels within each large-scale brain network for significant clusters derived from seed-based connectivity analysis. …”

Classification of the predictors based on the statistical significances. by Tadashi Miyagawa (9547104)

Table_2_Tyrosine as a Mechanistic-Based Biomarker for Brain Glycogen Decrease and Supercompensation With Endurance Exercise in Rats: A Metabolomics Study of Plasma.xlsx by Takashi Matsui (752618)

“…Our findings suggest that plasma glycogenic amino acids are sensitive indicators of brain glycogen levels in endurance exercise. In particular, plasma tyrosine as a precursor of brain noradrenaline might be a valuable mechanistic-based biomarker to predict brain glycogen dynamics in endurance exercise.…”

Table_1_Tyrosine as a Mechanistic-Based Biomarker for Brain Glycogen Decrease and Supercompensation With Endurance Exercise in Rats: A Metabolomics Study of Plasma.pdf by Takashi Matsui (752618)

“…Our findings suggest that plasma glycogenic amino acids are sensitive indicators of brain glycogen levels in endurance exercise. In particular, plasma tyrosine as a precursor of brain noradrenaline might be a valuable mechanistic-based biomarker to predict brain glycogen dynamics in endurance exercise.…”

Concentration of RebA and Steviol showed increased significantly, whereas stevioside showed significant decrease in all the transgenic lines. by Nazima Nasrullah (6874496)

“…<p>Concentration of RebA and Steviol showed increased significantly, whereas stevioside showed significant decrease in all the transgenic lines.…”

I.p. injection of LPS induces inflammation in the brain A. by Fionä Caratis (12759506)

Subjects:

Attenuation reduction significance between OCAs. by Mathew Loren (6689951)

Voxel-based whole-brain analysis shows regional and dose-dependent effects of netoglitazone in decreasing plaque count. by Francesca Catto (21253435)

“…Each map represents a 3-dimensional view of statistically affected voxels (p < 0.05), where the red scale indicates a decrease in plaque count, and the cyan scale represents an increase. …”

Cortical mapping of the fraction of significant voxels for other dimensions of GloVe vectors. by Satoshi Nishida (690175)

Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors. by Satoshi Nishida (690175)

“…<p>The mean fraction of significant voxels in each brain region for fastText vector-based models was mapped onto the cortical surface (<b>A</b>, vector dimension = 100; <b>B</b>, 300; <b>C</b>, 500; <b>D</b>, 2000). …”