Testing states of cadaveric specimens under different surgical conditions. حسب Jia Zhu (135506)

الموضوعات:

Parameters of the newly designed ZPC for the Chinese population used in test. حسب Jia Zhu (135506)

الموضوعات:

The actual response values and predicted response values of BDD tests. حسب Peng Zhao (128233)

Summary of Kruskal-Wallis tests and pairwise comparisons for δ¹³C and δ¹⁵N values. حسب Sarah J. Noe (19846136)

Test plan. حسب Hongqi Wang (2208238)

Robustness test. حسب Yin Liu (50073)

Test instrument. حسب Hongqi Wang (2208238)

Cutting test. حسب Shan Gao (46743)

Class-wise performance on the test set. حسب Muhammad Zubair (728141)

Test statistics and p-value of the Mann-Kendall test for the fertility rate of the age groups 10 to 14 years and 15 to 19 years. Brazil and Federative Units, 2012 - 2021. حسب Rosa Maria Soares Madeira Domingues (2795005)

Placebo test. حسب Pu Miao (12886949)

Severity of different microscopic alterations in testes of quail exposed to different concentrations of acetochlor. حسب Naveed Arshad (19712985)

Comparison of uniaxial compression test and simulation. حسب Ruocheng Zhang (20442445)

Means, standard deviations, and inferential statistics for the outcomes in the three conditions tested. حسب Robert Trybulski (10998702)

Flowchart of the test. حسب Chuan Li (158692)

"…After cooling, uniaxial compression tests were performed using an electronic universal testing machine to assess their macroscopic properties. …"

Percent change in yearly crude rates (between 2019 and 2021 and between 2019 and 2024) by gender and state. حسب Tony Wong (779773)

الموضوعات:

ActAs and CoT prompt strategies do not result in decreased error rate for tasks with increasing complexity. حسب Jacqueline A. Jansen (14894276)

Self-correction prompt strategy results in decreased error rate for all tasks with increasing complexity. حسب Jacqueline A. Jansen (14894276)

fileCont prompt strategy results in decreased error rate for some tasks with increasing complexity. حسب Jacqueline A. Jansen (14894276)

Testing set error. حسب 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). …"