Fig 9 - by David G. Morgan (1459003)

Group results for Experiment 1 and 2. by Adam M. Roth (19845864)

Validation of an abortive response with elevated NF-κB activity distinct from full lytic reactivation. by Elliott D. SoRelle (6527681)

S1 File - by Kimesh Loganathan Naidoo (19697486)

“…Of the 45 015 admissions analysed, 1237(2·75%) demised with significant decreases in admissions during all the lockdown levels, with the most significant mean monthly decrease of 450(95%, CI = 657·3, -244·3) p<0·001 in level 5 (the most severe) lockdown. …”

Evaluation results. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”

Dataset with steel insert. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”

Reference dataset. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”

Dataset with aluminium insert. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”

Grid independence test. by Zhen Zhao (159931)

“…The results indicate that schemes 1, 2, and 4 all have significant low-speed vortices in the return water zone (D zone). …”

Physical picture of flow channel of emitter. by Zhen Zhao (159931)

“…The results indicate that schemes 1, 2, and 4 all have significant low-speed vortices in the return water zone (D zone). …”

The test results of relative flow of emitters. by Zhen Zhao (159931)

“…The results indicate that schemes 1, 2, and 4 all have significant low-speed vortices in the return water zone (D zone). …”

The details of flow chart. by Zhen Zhao (159931)

“…The results indicate that schemes 1, 2, and 4 all have significant low-speed vortices in the return water zone (D zone). …”

The physical short-period clogging test device. by Zhen Zhao (159931)

“…The results indicate that schemes 1, 2, and 4 all have significant low-speed vortices in the return water zone (D zone). …”

PEDro scores of included studies. by Flor Isela Torres-Rojo (22097369)

“…The effect of vigorous interventions showed an increase in antioxidants (Z=2.44, I²=67%, p=0.01) and a decrease in oxidants (Z=5.44, I²=0%, p<0.00001), while in non-vigorous exercise, no significant differences were observed in redox status.…”

Stata file for the experimental hut data. by Jackline L. Martin (12265386)

“…A small, non-significant effect of pyriproxyfen on <i>Anopheles</i> fertility was observed for Royal Guard up to 12 months (75% vs 98%, OR: 1.1, 95% CI: 0.0–24.9, p-value = 0.951). …”

EHT treatments evaluated. by Jackline L. Martin (12265386)

“…A small, non-significant effect of pyriproxyfen on <i>Anopheles</i> fertility was observed for Royal Guard up to 12 months (75% vs 98%, OR: 1.1, 95% CI: 0.0–24.9, p-value = 0.951). …”

ENP C-term phosphomimic variants and <i>enp</i> rescue. by Michaela S. Matthes (21587677)

Basic situation of different vegetation types. by Ye Xiao (3913402)

“…Results showed that the different vegetation restoration types significantly influenced SOC stocks (<i>P</i> < 0.05), and the concentrations and stocks of SOC and LOCFs decreased with increasing soil depth in different vegetation types, except for MBC in BF and CFF. …”

S1 Data - by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”

S1 Appendix - by Amani S. Alghamdi (20500935)

“…The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g., increasing, decreasing, bathtub) and provide better fitting performance compared to existing models such as the Chen and exponentiated Chen distributions. …”