Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

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Prediction of bacterial BugBase phenotype. by Jun Sun (48981)

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

Predicted <i>cis</i>-acting elements in <i>DpAP2</i> promoter. by Lingru Ruan (18995544)

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Predicted values of the fertility rate of women under 20 years of age according to HDI-M values, Primary Care Population coverage and information on the year of the pandemic. Brazi... by Rosa Maria Soares Madeira Domingues (2795005)

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Forest plots of APTT for 28-day mortality in different subgroups. by Huan Wang (109286)

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Baseline characteristics and potential independent risk factors for mortality of SFTS. by Huan Wang (109286)

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Kinetics of coagulation parameters between the survivors and non-survivors during hospitalization. by Huan Wang (109286)

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Restricted cubic spline models depicting the relationship between APTT and mortality risk in SFTS. by Huan Wang (109286)

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Flowchart of participants enrollment in the study. by Huan Wang (109286)

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S1 Data - Dynamic changes of activated partial thromboplastin time and correlation with mortality in patients with severe fever with thrombocytopenia syndrome: A retrospective coho... by Huan Wang (109286)

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Kaplan-Meier survival analysis curves according to the APTT levels between four groups. by Huan Wang (109286)

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Dynamic profile of coagulation parameters between survivors and non-survivors in patients with SFTS. by Huan Wang (109286)

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Multivariate logistic regression analysis on the risk factors associated with prolonged APTT. by Huan Wang (109286)

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Characteristics and outcomes of participants categorized by serum APTT on admission. by Huan Wang (109286)

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The variables that significantly predicted litter clump weight in shelter cats. by Allison Andrukonis (11846404)

SARIMA predicts season components. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

The higher the value, the stronger the correlation. by Xiaoxu Zhu (11764430)

Analysis of raw data prediction results. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

Analysis of STL-PCA prediction results. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”