Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis by Eleanor Wheeler (28941)

“…In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. …”

Density profiles for repulsive binary spatially inhomogeneous strengths: (a) γ₁ = 1, (b) γ₁ = 100, (c) γ₁ = 500, (d) γ₁ = 1000 with the... by J B Sudharsan (557453)

“…</strong> Density profiles for repulsive binary spatially inhomogeneous strengths: (a) γ₁ = 1, (b) γ₁ = 100, (c) γ₁ = 500, (d) γ₁ = 1000 with the potential (<a href="http://iopscience.iop.org/0953-4075/46/15/155302/article#jpb466473eqn05" target="_blank">5</a>).…”

Effect of incubation temperature on acetaminophen loss in banana extract. by Yoshihiro Uesawa (3746458)

Effect of pH on acetaminophen loss in banana extract. by Yoshihiro Uesawa (3746458)

Comparison of molecular and metabolic changes caused by 24 hours treatment of SF188 pediatric glioblastoma cells with PI-103 or TMZ at 2×GI₅₀. by Nada M. S. Al-Saffar (454143)

RNA-seq transcriptomics analysis in human tissue culture cells reveals changes in the expression levels of over 100 nucleolar mRNAs after PAX9 knockdown. by Katherine I. Farley-Barnes (9258036)

“…Of these, 812 mRNAs had a decreased fold change (≤ -2) and 184 of those mRNAs code for proteins designated as nucleolar in at least one of three databases [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1008967#pgen.1008967.ref050" target="_blank">50</a>–<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1008967#pgen.1008967.ref052" target="_blank">52</a>]. …”

Expression of autophagy related proteins in canine cells treated with the autophagy inhibitor spautin-1, doxorubicin, or a combination, with spautin-1 applied pre-chemotherapy. by Courtney R. Schott (5904980)

Fig 5 - by Torsten Schober (20485754)

Fig 4 - by Torsten Schober (20485754)

Scatter plots of the linear regression for the relationship between the duration of the vegetative phase and the average mass of single inflorescences. by Torsten Schober (20485754)

Fluid accumulation studies. by Moumita Mondal (632557)

“…For fluid accumulation studies 5 days old infant mice were infected with 100 µl of 1×10⁶ CFU/ml of wild type <i>V. cholerae</i>, Δ<i>chiA2</i> mutant, and the complemented strain. …”

Fig 6 - by Torsten Schober (20485754)

Effective quantum yield of photosystem II (Yield II) of <i>Klebsormidium crenulatum</i> during desiccation (desiccated over 100 g of silica gel) monitored by PAM 2500. by Andreas Holzinger (153856)

“…The results of three filters containing similar amount of algal biomass are shown individually, to demonstrate that the decrease of Y II occurred within a short time frame (40–50 min). …”

Paeameter ranges and optimal values. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Improved random forest algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Datasets used in the study area. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Evaluation of the improved random forest model. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Comparison of model metrics. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Flowchart of population spatialization. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Fig 7 - by Satoshi Shibuta (1365531)

“…<p>Survival ratio (SR) of primary cultured cortical neurons exposed to vehicle (DMSO in PBS (A); PPF at (B) 10 or (C) 100 μM) for 24 h during DIV 3 and 4. …”