General characteristics and statistical analysis. by Ana Gabriela Gomes Ferrari Strang (17068913)

“…Three decreasing values of immunoglobulin G were a security parameter for stopping the child’s medication in the exposed group (50/61). …”

Fig 1 - by Guansheng Han (15338907)

S2 File - by Young Chang (3666829)

Postmortem confirmation of tetrode placement. by Alice Berners-Lee (15354255)

Phase diagram of the Hopfield model in the plane of (<i>T</i>, <i>a</i>). by Do-Hyun Kim (577107)

“…Degree exponent <i>γ</i> is infinity in <b>a</b>, 5.0 in <b>b</b>, 4.0 in <b>c</b>, 3.0 in <b>d</b>, 2.04 in <b>e</b>, and 2.01 in <b>f</b>. …”

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. …”

The details of the channel attention module. 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. …”

Ablation 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. …”

Pathological diagnosis. 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. …”

The details of ECRNet. 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. …”

Unsafe abortion in Brazil: a systematic review of the scientific production, 2008-2018 by Rosa Maria Soares Madeira Domingues (2795005)

“…We evaluated article quality using the Joanna Briggs Institute instruments. We evaluated 50 articles. The prevalence of induced abortion in Brazil was estimated by a direct method to be 15% in 2010 and 13% in 2016. …”

Raw data for figures and tables in the paper. by Runhai Jiang (19871068)

“…<i>rwandensis</i> could promote the transformation of Pb fractions and a functional change in the soil bacterial community, ultimately decreasing Pb accumulation in the biomass and promoting the development of maize.…”

Power spectra changes related to the seizure onset zone and increased adaptation. by Brian Nils Lundstrom (14659973)

HuD and Msi2 double knockdown does not causes additive increase in the APAF1 levels and Bax/Bcl2 ratio. by Naina Gaikwad (20435889)

The effect of previous human interaction and of walking/standing phase on dog behaviour during the behavioural synchronisation test. by Jasmine Heurlin (18501279)

The effect of different breed groups and of walking/standing phase on dog behaviour during the behavioural synchronisation test. by Jasmine Heurlin (18501279)