The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Significant condition. by Junxia Zhou (14381598)

Subjects:

Results of significance for regression factors. by Junxia Zhou (14381598)

Subjects:

Linear contact model. by Qingwen Li (1510687)

Subjects:

BST2 overexpression decreased RSV multiplication. by Katherine Marougka (13015146)

Demonstration of test steps. by Jin Zhu (164147)

Subjects:

Creep failure mode and sketch map of step-step fractured rock. by Dengke Yang (842532)

Subjects:

The results of linear mixed model. by Soheila Qanbari (20455173)

Subjects:

Test soil parameters. by Yonggang Huang (223155)

Subjects:

Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)^b'*'. by Muxi Chen (9294270)

Subjects:

Time series comparing trends at HSJ and control hospitals in the pre-intervention and intervention period. Significance test determine if trends differ between groups. by Eva Rydahl (6260771)

Subjects:

nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU. by Peiqi Yin (6533747)

Creep failure mode and sketch map of slow-step fractured rock. by Dengke Yang (842532)

Subjects:

Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

Linear relationships (Spearman’s r (p-value)) the treatment-induced changes in clinical and neurophysiological data. by Soheila Qanbari (20455173)

Subjects:

Test plan. by Hongqi Wang (2208238)

Subjects:

Test instrument. by Hongqi Wang (2208238)

Subjects:

Juvenile demyelination leads to a substantial decrease in potassium currents in PV interneurons of the PFC. by Sara Hijazi (21656615)

“…Kv3.1b intensity was significantly decreased in PV interneurons from cuprizone mice (red) compared to control mice (black) (<i>t test of</i> <b><i>(H)</i></b><i>; n = 4 mice per group, p = 0.0286; t test of</i> <b><i>(I)</i></b><i>; n = 145/170 cells from 4 mice per group, p < 0.0001, Kolmogorov–Smirnov test of</i> <b><i>(J)</i></b><i>; p < 0.0001</i>). …”

Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (sign... by Mobina Faqani (22783963)

STL Linear Combination Forecast Graph. 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). …”