Open chain representations of butanol isomers. by Mehmet Ferruh Kılınç (21567787)

“…Especially at a premixing ratio of 45%, an increase of 50% within heat release rate was observed. …”

Experimental Study Parameters. by Mehmet Ferruh Kılınç (21567787)

“…Especially at a premixing ratio of 45%, an increase of 50% within heat release rate was observed. …”

Diagram illustrating the experimental setup. by Mehmet Ferruh Kılınç (21567787)

“…Especially at a premixing ratio of 45%, an increase of 50% within heat release rate was observed. …”

Rp_0.30_Combustion_and_emissions_Dataset. by Mehmet Ferruh Kılınç (21567787)

“…Especially at a premixing ratio of 45%, an increase of 50% within heat release rate was observed. …”

Rp_0.30_Pressure_HRR_Temp_Dataset. by Mehmet Ferruh Kılınç (21567787)

“…Especially at a premixing ratio of 45%, an increase of 50% within heat release rate was observed. …”

Data for brain oscillations. by Thomas Jacquet (9960275)

“…During the cognitively demanding task, mental fatigue was evidenced by increased errors, missed trials, and decreased N100 amplitude over time. While no effect was reported on force steadiness, both tasks induced a decrease in MVC (<i>p</i> = .040), a force RFD-SF lower slope (<i>p</i> = .011), and a reduction in the coefficient of determination (<i>p</i> = .011). …”

Data for physical tasks. by Thomas Jacquet (9960275)

“…During the cognitively demanding task, mental fatigue was evidenced by increased errors, missed trials, and decreased N100 amplitude over time. While no effect was reported on force steadiness, both tasks induced a decrease in MVC (<i>p</i> = .040), a force RFD-SF lower slope (<i>p</i> = .011), and a reduction in the coefficient of determination (<i>p</i> = .011). …”

Subjective data. by Thomas Jacquet (9960275)

“…During the cognitively demanding task, mental fatigue was evidenced by increased errors, missed trials, and decreased N100 amplitude over time. While no effect was reported on force steadiness, both tasks induced a decrease in MVC (<i>p</i> = .040), a force RFD-SF lower slope (<i>p</i> = .011), and a reduction in the coefficient of determination (<i>p</i> = .011). …”

POLDIP3 is a common substrate of different coronaviruses nsp5. by Yang Wu (66682)

“…(C and D) Overexpression of POLDIP3 decreased PEDV and TGEV infection by TCID₅₀ assay. …”

Flow chart of exclusions. by Kimberly J. Johnson (4281190)

“…We used the posterior predictive distribution to model differences between a predicted, uninterrupted process and the observed screening mammogram counts. …”

Estimating germline maintenance. by Mareike Koppik (4489318)

Ca²⁺ supplementation <i>in vitro</i> has no impact on the production of some cytokines by mouse γδ T and B cells. by Yusuf Cem Eskiocak (10789281)

Optimal time points for a three-colonoscopy screening program in the US. by Viktor Zaika (18611072)

“…Selected model parameters were increased and decreased by up to 50%. Dashed lines indicate average optimal points obtained for nominal simulations. …”

Effects of PM and miRNA mimics on the anchorage-independent growth of A549 cells. by Moe Thi Thi Han (17820376)

“…<b>(B)</b> Quantification of colony formation, showing a peak at 2.5 µg/mL, followed by a decrease at 5.0–7.5 µg/mL. …”

Stimulation of murine <i>i</i>NKT cells, γδ T cells, or B cells in RPMI^suppl has no negative impact on cell viability. by Yusuf Cem Eskiocak (10789281)

The age distribution of the patients. by Ruijie Wang (5989841)

“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”

Comparison experiments. by Ruijie Wang (5989841)

“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”

External validation comparison results. by Ruijie Wang (5989841)

“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”

Patient characteristics. by Ruijie Wang (5989841)

“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”

Comparison with baseline methods. by Ruijie Wang (5989841)

“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”