Statistical summaries. حسب Magdalena Kunat-Budzyńska (20565222)

"…Another important element is seasonality, which significantly affected only the lysozyme-like activity. …"

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

Pre- & post awareness session scores. حسب Stavia Turyahabwe (9925935)

"…TB treatment adherence rates among TB patients using VOT was significantly better (<i>p</i><0.01) than those using DOTS.…"

VOT vs DOTS TB treatment adherence rates. حسب Stavia Turyahabwe (9925935)

"…TB treatment adherence rates among TB patients using VOT was significantly better (<i>p</i><0.01) than those using DOTS.…"

Sample size and duration of the pilot study. حسب Stavia Turyahabwe (9925935)

"…TB treatment adherence rates among TB patients using VOT was significantly better (<i>p</i><0.01) than those using DOTS.…"

S1 File - حسب 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. …"

Parameters of Tissue Doppler Echocardiography. حسب Mina Farshidgohar (20308230)

"…</p><p>Results</p><p>Out of 50 patients, two showed a decrease in left ventricular ejection fraction (LVEF) below the normal range (<55%) one month post-treatment, along with significant increases in Troponin I levels. …"

Accuracy test results. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Experiment environment and parameter. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Test results for NME and FR. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

DARTS algorithm process. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Comparison result of memory usage. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

LKA model structure. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Test results on different datasets. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Comparison result of memory usage. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Residual configuration. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Test results for P, R, F1, and OA. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Schematic diagram of DARTS-VAN model structure. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

DARTS-VAN model unit search process. حسب Yuxuan Ji (13991895)

"…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …"

Grid independence test. حسب 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). …"