Flowchart of the STL-PCA-BWO-BiLSTM model. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Parameter optimization results of BiLSTM. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Descriptive statistical analysis of data. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

The MAE value of the model under raw data. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Three error values under raw data. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Decomposition of time scries plot. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Image 3_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

“…Compared to baseline, EASI, SCORAD, IGA, VAS, and DLQI scores demonstrated significant decreases at both Day 7 and Day 14 (all P < 0.05). …”

Image 4_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

“…Compared to baseline, EASI, SCORAD, IGA, VAS, and DLQI scores demonstrated significant decreases at both Day 7 and Day 14 (all P < 0.05). …”

Image 2_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

“…Compared to baseline, EASI, SCORAD, IGA, VAS, and DLQI scores demonstrated significant decreases at both Day 7 and Day 14 (all P < 0.05). …”

Table 2_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.docx by Ling Kui (6108440)

“…Compared to baseline, EASI, SCORAD, IGA, VAS, and DLQI scores demonstrated significant decreases at both Day 7 and Day 14 (all P < 0.05). …”

Table 3_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.xlsx by Ling Kui (6108440)

“…Compared to baseline, EASI, SCORAD, IGA, VAS, and DLQI scores demonstrated significant decreases at both Day 7 and Day 14 (all P < 0.05). …”

Table 1_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.xlsx by Ling Kui (6108440)

“…Compared to baseline, EASI, SCORAD, IGA, VAS, and DLQI scores demonstrated significant decreases at both Day 7 and Day 14 (all P < 0.05). …”

Image 1_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

“…Compared to baseline, EASI, SCORAD, IGA, VAS, and DLQI scores demonstrated significant decreases at both Day 7 and Day 14 (all P < 0.05). …”

Table 4_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.xlsx by Ling Kui (6108440)

“…Compared to baseline, EASI, SCORAD, IGA, VAS, and DLQI scores demonstrated significant decreases at both Day 7 and Day 14 (all P < 0.05). …”

List of drug resistance gene. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Figs 1 and 2. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Primers sequences of drug resistance genes. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 3. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 4. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 5. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”