Effect of TNF-α inhibitor on differentiation of DA precursors exposed to activated microglia CM. by Shirley D. Wenker (17048367)

“…ANOVA followed by Bonferroni test. n = 5 independent assays. Values are means ± SEM of independent assays. …”

Descriptive statistics. by Sergey V. Popov (6719075)

dTTP- and thymidine-induced decrease in mtDNA replication is prevented by dCTP supplementation. by Emiliano González-Vioque (225780)

“…Bars represent mean±SD. dThd: thymidine; dCtd: deoxycytidine. A, B. mtDNA synthesis in the presence of increasing amounts of dTTP and dCTP; ³H-labeled DNA was quantified in (A) or ³²P-labeled DNA was <i>Acc</i>I-digested and resolved in (B). …”

Random effects regressions: Controlling for initial placement. by Sergey V. Popov (6719075)

Panel Tobit regressions: Controlling for initial placement. by Sergey V. Popov (6719075)

OLS regressions: All top 100 authors. by Sergey V. Popov (6719075)

Map of kangaroo rat samples used in this study. by Michaela K. Halsey (13783178)

Experimental setup under ablation experiments. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Obstacle uniform linear motion scenarios. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Analysis of the tangential force of the obstacle. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Table of values for <i>p.</i> by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Static obstacle avoidance scene setup. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Random effects regressions: Top 50 authors per field. by Sergey V. Popov (6719075)

OLS regressions: Top 50 authors per field. by Sergey V. Popov (6719075)

Random effects regressions: Ranking of publications omitting unranked publications. by Sergey V. Popov (6719075)

Quantile regression models: Ranking of university or other institution. by Sergey V. Popov (6719075)

Random effects regressions: Of authors ranked between 51-100 per field. by Sergey V. Popov (6719075)

Nested random effects regressions using all unique author observations. by Sergey V. Popov (6719075)

OLS regressions: Authors ranked from 51-100 per field. by Sergey V. Popov (6719075)

Panel Tobit regressions: Ranking of publications using IDEAS journal rankings. by Sergey V. Popov (6719075)