MeV <i>M</i> mRNA quantification in cells treated with an inhibitor of RNA polymerase III. by Pierre Khalfi (7868252)

Subjects:

The image illustrates the five steps of the experiment. by Deborah Ribeiro Frazão (9188152)

Decreased expression of ATG5 upon the siRNA transfection. by Manisha Naskar (2613763)

Analysis of change in mature INPs, GMCs and neurons in the type II NB lineage on depletion of mitochondrial morphology proteins. by Dnyanesh Dubal (12085942)

Depletion of Opa1 and Marf does not cause increase in the cleaved Caspase 3 levels and apoptosis in the brain. by Dnyanesh Dubal (12085942)

Drp1^SD overexpression partially alleviates the differentiation defect seen in <i>notch</i> RNAi expressing type II NB lineages. by Dnyanesh Dubal (12085942)

Analysis of mitochondrial morphology in Notch mutants and Notch signaling in Opa1 depleted type II NB lineages. by Dnyanesh Dubal (12085942)

VPS34 inhibition decreases intracellular levels of cholesteryl-esters, blocks cholesterol uptake and enhances lysosomal degradation of LDLR. by Marek J. Kobylarz (9292599)

Decreased number of cones and retinal ganglion cells in Oc-deficient retina. by Michaela Kreplova (9239560)

Decrease in the interscale differentiation marker in senescence prone SAMP8 mice. by Gopakumar Changarathil (3479078)

Molecular dynamics simulations of the three systems (MMP9-MOL000098, MMP9-MOL000354, MMP9-MOL000422) after 50 ns. by Lefei Yu (12274846)

Molecular dynamics simulations of the three systems (IL-6-MOL000098, IL-6-MOL000354, IL-6-MOL000422) after 50 ns. by Lefei Yu (12274846)

Primary endpoint analysis, i.e., time to first occurrence of combined event of 50% decrease in eGFR or ESRD. by Rozita Mohd (7411322)

Step-wise evolution of drug resistance via CNV and LOH. by Pétra Vande Zande (17628246)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Table of step height. by Jianbo Jia (717814)

“…Finally, by making corresponding test blocks, it was found that the peak value of forward resistance when the 10.5°test block crossed the steps of 1mm, 2mm and 3mm height decreased by 19.8%, 25.0% and 13.9% respectively, and the mean value decreased by 30.8%, 27.2% and 24.1% respectively, which was close to the simulation results, and verified the accuracy of the finite element analysis results.…”

The well wall step. by Jianbo Jia (717814)

“…Finally, by making corresponding test blocks, it was found that the peak value of forward resistance when the 10.5°test block crossed the steps of 1mm, 2mm and 3mm height decreased by 19.8%, 25.0% and 13.9% respectively, and the mean value decreased by 30.8%, 27.2% and 24.1% respectively, which was close to the simulation results, and verified the accuracy of the finite element analysis results.…”

NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

Spatial representation of mean annual soil loss increase/decrease derived with the different modeling centers (rows) and time steps (columns) with the SSP5-8.5. by Fabián Santos (8174028)

“…<p>Spatial representation of mean annual soil loss increase/decrease derived with the different modeling centers (rows) and time steps (columns) with the SSP5-8.5.…”