General characteristics and clinical data of the subjects included in the study. by Spela Kokelj (8356644)

Subjects:

Distribution of average relative amounts of lipid classes. by Spela Kokelj (8356644)

Subjects:

Flow chart on the inclusion and drop out of patients. by Spela Kokelj (8356644)

Subjects:

Differentially abundant lipid species in COVID-19 cases at baseline and at follow-up as compared to healthy controls. by Spela Kokelj (8356644)

Subjects:

Symptoms reported by COVID-19 cases at baseline and at follow-up. by Spela Kokelj (8356644)

Subjects:

<i>lin-15b(-)</i> animals exhibit altered intestinal nuclear morphology. by Ashwin Seetharaman (615458)

Average Gait Speed (A), Cadence (B), Step Length (C), and Walk Ratio (D) across Terrains; Violin plots with individual participant data of A) gait speed, B) cadence, C) average ste... by Benjamin S. Killen (22766029)

The statistical data of the partial graph. by Si Yu Zhao (19544793)

“…Behavioral tests of both mutant and control strains revealed that the <i>rho-l</i>^{<i>△807</i>} mutant mosquitoes had a significant decrease in their ability to search for preferred oviposition sites that correlated with a reduced ability to recognize long-wavelength red light. …”

Experimental Design Flowchart. by Si Yu Zhao (19544793)

“…Behavioral tests of both mutant and control strains revealed that the <i>rho-l</i>^{<i>△807</i>} mutant mosquitoes had a significant decrease in their ability to search for preferred oviposition sites that correlated with a reduced ability to recognize long-wavelength red light. …”

(A) Procedural steps for minimally invasive Ponto surgery (MIPS). The MIPS procedure involves the following steps: (i) A circular incision is created at the selected site via a 4-... by Marsel Ganeyev (21453399)

Subjects:

TBSS results showing significant AxD and RD changes at baseline and the follow-up. by Sewon Lim (21989785)

Quantification of bacterial adhesion revealed a significant decrease in the adhesion of <i>S. aureus</i>, <i>S. epidermidis</i>, and <i>P. aeruginosa</i> on blotted corneas of mice... by Ananya Datta (19932144)

Screening for K⁺ channel mutants with altered susceptibility to <i>V. cholerae.</i> by Longjun Pu (20685717)

Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

Chronic morphine exposure and withdrawal alters resulting proportions of lineage-specific midbrain progenitor cell fates. by Rhea Sullivan (18824253)

Generated spline library. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Correlation coefficient matrix. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

RMSE versus learning rate. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

RMSE versus training parameters. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Assembly process of machine recognition form. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”