Variables used for the analysis. by Yaw Nyarko Opoku-Boateng (20477302)

“…</p><p>Results</p><p>The results indicate that Covid-19 had a significant impact on healthcare utilization in Ghana. …”

Trend of PNC attendance over the period. by Yaw Nyarko Opoku-Boateng (20477302)

“…</p><p>Results</p><p>The results indicate that Covid-19 had a significant impact on healthcare utilization in Ghana. …”

Trend of ANC attendance over the period. by Yaw Nyarko Opoku-Boateng (20477302)

“…</p><p>Results</p><p>The results indicate that Covid-19 had a significant impact on healthcare utilization in Ghana. …”

Total hospital attendances by specialty. by Yaw Nyarko Opoku-Boateng (20477302)

“…</p><p>Results</p><p>The results indicate that Covid-19 had a significant impact on healthcare utilization in Ghana. …”

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

“…</p><p>Results</p><p>There was a significant improvement (<i>p</i><0.01) in knowledge and awareness levels of community members post the AGB exercises which included creating awareness using digital storytelling, house visits and more. …”

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

“…</p><p>Results</p><p>There was a significant improvement (<i>p</i><0.01) in knowledge and awareness levels of community members post the AGB exercises which included creating awareness using digital storytelling, house visits and more. …”

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

“…</p><p>Results</p><p>There was a significant improvement (<i>p</i><0.01) in knowledge and awareness levels of community members post the AGB exercises which included creating awareness using digital storytelling, house visits and more. …”

Kinetic characteristics. by Tao Yuan (443733)

“…</p><p>Results</p><p>KT significantly improved the Y-balance anterior reach distance (<i>P = 0</i>.…”

Raw data. by Tao Yuan (443733)

“…</p><p>Results</p><p>KT significantly improved the Y-balance anterior reach distance (<i>P = 0</i>.…”

Schematic of the Y-balance anterior task. by Tao Yuan (443733)

“…</p><p>Results</p><p>KT significantly improved the Y-balance anterior reach distance (<i>P = 0</i>.…”

Demographic characteristics of the two groups. by Tao Yuan (443733)

“…</p><p>Results</p><p>KT significantly improved the Y-balance anterior reach distance (<i>P = 0</i>.…”

GRADE judgements. by Da Huang (1306407)

“…The study results demonstrated that physical exercise combined with conventional rehabilitation significantly improved VO_2Peak (MD = 4.91, 95% CI: 3.52–6.29, P < 0.001), 6MWT (MD = 37.11, 95% CI: 11.72–62.51, P = 0.004), FVC% (MD = 6.54, 95% CI: 4.9–8.17, P < 0.001), and FEV₁% (MD = 8.27, 95% CI: 7.39–9.14, P < 0.001) in burn patients compared to conventional rehabilitation. …”

Basic characteristics of the included studies. by Da Huang (1306407)

“…The study results demonstrated that physical exercise combined with conventional rehabilitation significantly improved VO_2Peak (MD = 4.91, 95% CI: 3.52–6.29, P < 0.001), 6MWT (MD = 37.11, 95% CI: 11.72–62.51, P = 0.004), FVC% (MD = 6.54, 95% CI: 4.9–8.17, P < 0.001), and FEV₁% (MD = 8.27, 95% CI: 7.39–9.14, P < 0.001) in burn patients compared to conventional rehabilitation. …”

The data of meta-analysis. by Da Huang (1306407)

“…The study results demonstrated that physical exercise combined with conventional rehabilitation significantly improved VO_2Peak (MD = 4.91, 95% CI: 3.52–6.29, P < 0.001), 6MWT (MD = 37.11, 95% CI: 11.72–62.51, P = 0.004), FVC% (MD = 6.54, 95% CI: 4.9–8.17, P < 0.001), and FEV₁% (MD = 8.27, 95% CI: 7.39–9.14, P < 0.001) in burn patients compared to conventional rehabilitation. …”

Risk of bias. by Da Huang (1306407)

“…The study results demonstrated that physical exercise combined with conventional rehabilitation significantly improved VO_2Peak (MD = 4.91, 95% CI: 3.52–6.29, P < 0.001), 6MWT (MD = 37.11, 95% CI: 11.72–62.51, P = 0.004), FVC% (MD = 6.54, 95% CI: 4.9–8.17, P < 0.001), and FEV₁% (MD = 8.27, 95% CI: 7.39–9.14, P < 0.001) in burn patients compared to conventional rehabilitation. …”

Overall risk of bias assessment. by Da Huang (1306407)

“…The study results demonstrated that physical exercise combined with conventional rehabilitation significantly improved VO_2Peak (MD = 4.91, 95% CI: 3.52–6.29, P < 0.001), 6MWT (MD = 37.11, 95% CI: 11.72–62.51, P = 0.004), FVC% (MD = 6.54, 95% CI: 4.9–8.17, P < 0.001), and FEV₁% (MD = 8.27, 95% CI: 7.39–9.14, P < 0.001) in burn patients compared to conventional rehabilitation. …”

Funnel plot of VO_2Peak inclusion studies. by Da Huang (1306407)

“…The study results demonstrated that physical exercise combined with conventional rehabilitation significantly improved VO_2Peak (MD = 4.91, 95% CI: 3.52–6.29, P < 0.001), 6MWT (MD = 37.11, 95% CI: 11.72–62.51, P = 0.004), FVC% (MD = 6.54, 95% CI: 4.9–8.17, P < 0.001), and FEV₁% (MD = 8.27, 95% CI: 7.39–9.14, P < 0.001) in burn patients compared to conventional rehabilitation. …”

Analysis of subgroups. by Da Huang (1306407)

“…The study results demonstrated that physical exercise combined with conventional rehabilitation significantly improved VO_2Peak (MD = 4.91, 95% CI: 3.52–6.29, P < 0.001), 6MWT (MD = 37.11, 95% CI: 11.72–62.51, P = 0.004), FVC% (MD = 6.54, 95% CI: 4.9–8.17, P < 0.001), and FEV₁% (MD = 8.27, 95% CI: 7.39–9.14, P < 0.001) in burn patients compared to conventional rehabilitation. …”

Overall model framework. by Ke Yan (331581)

“…The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”

Key parameters of LSTM training model. by Ke Yan (331581)

“…The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”