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

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

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

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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Why does task performance decrease with burst length? by Swathi Anil (17382903)

Statistically significant linear decrease in use of antidepressants, antipsychotics, psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics during the observed time period. by Jelena Filimonovic (22305307)

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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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Analysis of the significantly different metabolomic features. by Bhuripit Saraphol (20855573)

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

Correlations between significantly different microbiota and metabolites. by Bhuripit Saraphol (20855573)

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Most significant muscle activation values. by María Benito-de-Pedro (22057468)

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

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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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Significant repeated measurements sEMG outcomes. by María Benito-de-Pedro (22057468)

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Significant single measurement sEMG outcomes. by María Benito-de-Pedro (22057468)

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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). …”

The flexural lumber properties of Pinus patula Schiede ex Schltdl. & Cham. improve with decreasing initial tree spacing by Justin Erasmus (8702619)

“…</p><p dir="ltr">Wood and lumber quality improved with decreasing spacing, and only the narrowest spacing had lumber that conformed to the requirements of the lowest South African structural grade. …”