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. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”

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. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”

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. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”

5-HT supplementation induces mitochondrial damage. by Li Gao (131516)

Craniocaudal impulses of fore- and hindlimbs at three bar heights during take-off. by Leena Inkilä (20614460)

Fig 4 - by Leena Inkilä (20614460)

Forest plot of the improvement in primary endpoints. by Jin-Min Gu (17915039)

Subjects:

Subgroup and sensitivity analyses for the primary outcomes. by Jin-Min Gu (17915039)

Subjects:

Forest plot of inflammatory markers. by Jin-Min Gu (17915039)

Subjects:

Flow diagram for the identification of studies included. by Jin-Min Gu (17915039)

Subjects:

Forest plot of the hospital stay length in distinct stages of patients. by Jin-Min Gu (17915039)

Subjects:

Forest plot of the second endpoint of the clinical symptom improvement. by Jin-Min Gu (17915039)

Subjects:

Factors related to health decision-making autonomy on own healthcare (N = 9249). by Tausi Seleman Haruna (21416765)

Subjects:

Sociodemographic characteristics of participants (N = 9249). by Tausi Seleman Haruna (21416765)

Subjects:

Multivariate ordinal logistic regression on factors related to women’s health decision-making autonomy on their own healthcare. by Tausi Seleman Haruna (21416765)

Subjects:

Details of the GWAS data in this study. by Jing Wang (6206297)

“…The effect of anti-H. pylori IgG seropositivity on CHD may be related to a higher peak insulin response or lower total free cholesterol levels and a decrease in waist circumference and waist-to-hip ratio. …”

Relevant parameters fitted by Pei model. by YongHe Liu (20477123)

Subjects:

Performance index of fly ash. by YongHe Liu (20477123)

Subjects:

Functional Delivery Systems for Targeting Tumor Heterogeneity: Reversing Immunosuppression and Modulating Cancer-Immune Interplay by Di Han (618795)

Subjects:

Odds ratio (OR) for depression (HADS-D>=8) with 95% confidence interval (CI). Analyses are run using the weighted survey design on the sub-sample with non-missing for all included... by Maria Lage Barca (4515385)

Subjects: