Sample Posts from the ADHD dataset. by Ahmed Akib Jawad Karim (20427740)

“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”

Top-level overview for ADHD classification study. by Ahmed Akib Jawad Karim (20427740)

“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”

Effects and Potential Risks of Chiral Penflufen on Pickled Cowpea: Combined Microbiome and Metabolomics by Chao Guo (163795)

“…<i>Rac</i>-penflufen treatment significantly decreased the relative abundance of <i>Lactiplantibacillus</i> while increasing <i>Weissella</i>, but the opposite effects were found in <i>R</i>- and <i>S</i>-penflufen treatments. …”

S1 Graphical abstract - by Huimin Xian (20390006)

“…</p><p>Conclusions</p><p>In patients with MVD-STEMI, the incidence of MACEs was lower in FCR than in FIR, and the decrease was particularly significant in the DM cohort. …”

Procedural characteristics. by Huimin Xian (20390006)

“…</p><p>Conclusions</p><p>In patients with MVD-STEMI, the incidence of MACEs was lower in FCR than in FIR, and the decrease was particularly significant in the DM cohort. …”

Clinical characteristics. by Huimin Xian (20390006)

“…</p><p>Conclusions</p><p>In patients with MVD-STEMI, the incidence of MACEs was lower in FCR than in FIR, and the decrease was particularly significant in the DM cohort. …”

Study flowchart. by Huimin Xian (20390006)

“…</p><p>Conclusions</p><p>In patients with MVD-STEMI, the incidence of MACEs was lower in FCR than in FIR, and the decrease was particularly significant in the DM cohort. …”

Data. by Huimin Xian (20390006)

“…</p><p>Conclusions</p><p>In patients with MVD-STEMI, the incidence of MACEs was lower in FCR than in FIR, and the decrease was particularly significant in the DM cohort. …”

CONSORT diagram of the study. by Plaiwan Suttanon (4741197)

“…The control group showed a significant increase in COM angle sway excursion (lateral direction) (p = 0.011, d = 0.27, 95% CI [-0.19, 0.74]) and a decrease in TMT-A time (p = 0.031, d = 0.38, 95% CI [-0.09, 0.85]). …”

Results of longitudinal analysis of mental health in HCWs. by A. H. Ayesha Lavell (16734002)

Mean scores and 95% CI of mental health symptoms, COVID-19 admissions and effect size during follow-up. by A. H. Ayesha Lavell (16734002)

Qualitative Examples of Corrected Sentences. by Yutong Liu (4027994)

“…The results show that the proposed model significantly outperforms the baseline model in terms of accuracy (improving from 0.78 to 0.85), recall (improving from 0.81 to 0.87), and F1 score (improving from 0.79 to 0.86). …”

Ablation Experiment Results. by Yutong Liu (4027994)

“…The results show that the proposed model significantly outperforms the baseline model in terms of accuracy (improving from 0.78 to 0.85), recall (improving from 0.81 to 0.87), and F1 score (improving from 0.79 to 0.86). …”

Meaning of Each Model. by Yutong Liu (4027994)

“…The results show that the proposed model significantly outperforms the baseline model in terms of accuracy (improving from 0.78 to 0.85), recall (improving from 0.81 to 0.87), and F1 score (improving from 0.79 to 0.86). …”

Overview of Related Work. by Yutong Liu (4027994)

“…The results show that the proposed model significantly outperforms the baseline model in terms of accuracy (improving from 0.78 to 0.85), recall (improving from 0.81 to 0.87), and F1 score (improving from 0.79 to 0.86). …”

Parameter Settings. by Yutong Liu (4027994)

“…The results show that the proposed model significantly outperforms the baseline model in terms of accuracy (improving from 0.78 to 0.85), recall (improving from 0.81 to 0.87), and F1 score (improving from 0.79 to 0.86). …”

Comparison with Advanced Models. by Yutong Liu (4027994)

“…The results show that the proposed model significantly outperforms the baseline model in terms of accuracy (improving from 0.78 to 0.85), recall (improving from 0.81 to 0.87), and F1 score (improving from 0.79 to 0.86). …”

Overall Model Architecture. by Yutong Liu (4027994)

“…The results show that the proposed model significantly outperforms the baseline model in terms of accuracy (improving from 0.78 to 0.85), recall (improving from 0.81 to 0.87), and F1 score (improving from 0.79 to 0.86). …”

Baseline Transformer model configuration. by Yutong Liu (4027994)

“…The results show that the proposed model significantly outperforms the baseline model in terms of accuracy (improving from 0.78 to 0.85), recall (improving from 0.81 to 0.87), and F1 score (improving from 0.79 to 0.86). …”

Comparison Results on CoNLL-2014 Dataset. by Yutong Liu (4027994)

“…The results show that the proposed model significantly outperforms the baseline model in terms of accuracy (improving from 0.78 to 0.85), recall (improving from 0.81 to 0.87), and F1 score (improving from 0.79 to 0.86). …”