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

The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

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The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

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The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

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The significance of the specific Nusselt number on a variety of factor. by Siva Sankari (2827295)

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Correlations between perceptual bias scores, age, and autism-associated features: Simple linear regression showing a significant correlation between elevated proprioceptive bias an... by Daniel E. Lidstone (21567523)

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Gender differences in first choice match outcomes. by Lucy Hui (17538542)

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Basic characteristics of the study participants by gender. by Subeen Kim (11714313)

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Gender-disaggregated descriptive statistics for demographics, resources, and market factors. by Nancy Ndung’u (21601567)

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Gendered descriptive statistics for socioeconomic capital, insect knowledge, and perception. by Nancy Ndung’u (21601567)

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Selection model estimates for gender-specific determinants of participation in cricket farming. by Nancy Ndung’u (21601567)

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Multiple linear regression analysis of the RAAS and glucose metabolism indicators before and after treatment in DKD and non-DKD patients. by Ningning Wang (560944)

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Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

Multinomial regression estimates of demographic, resource, and perception factors influencing household food security by gender of decision. by Nancy Ndung’u (21601567)

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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). …”

Non-linear relationship between urinary cadmium and bone mineral density from the adjusted restricted cubic splines model. by Aroon La-up (14095691)

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A slight negative trend in the relationship between U-Cd levels and BMD in both 2019 and 2022, as evident from the slightly downward-sloping regression lines in both years. However... by Aroon La-up (14095691)

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The demographics questionnaire includes questions about age, education, gender and employment. by Marcel F. Hinss (14675457)

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Statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

Transepithelial resistance of NHBE decreases significantly after PAA exposure. by Ellie S. Burns (21246537)