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First-trimester triglyceride-glucose index and birth weight: a retrospective cohort mediation analysis of preterm birth and gestational complications
Published 2025-07-01“…Abstract Background Insulin resistance during pregnancy, while physiologically adaptive to enhance fetal nutrient supply, becomes pathological when excessive, contributing to low birth weight (LBW). The triglyceride-glucose (TyG) index, a biomarker of insulin resistance, predicts gestational complications, but its pathways to birth weight disparities remain unclear. …”
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Drivers and forecasting of carbon emissions with extended LMDI and Bagging models: A case study of China's Bohai Rim region.
Published 2025-01-01“…Similarly, modal shifts and energy efficiency advancements positively impact emission reduction in the transportation sector. Furthermore, trends in carbon emissions are predicted using a bagging ensemble model for the Bohai Rim region's two municipalities and three provinces from 2024 to 2060. …”
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Insights of the asynchronous strain evolution of lean coal in uniaxial compression creep
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Response of Water-Sediment Structure to Three-dimensional Baroclinic Effects in Yangtze River Estuary
Published 2025-08-01“…The revealed detailed response characteristics of flow velocity and sediment content (layered, tidal-phase-specific, and spatially heterogeneous) offer theoretical and practical value for improving the prediction model for the siltation of deep-water channels in the Yangtze River Estuary, optimizing the dredging strategies for channel maintenance, and understanding the morphological evolution of estuaries. …”
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Study on the Dynamic Changes in Land Cover and Their Impact on Carbon Stocks in Karst Mountain Areas: A Case Study of Guiyang City
Published 2025-07-01“…A carbon stocks assessment framework was developed using a cellular automaton-based artificial neural network model (CA-ANN), the InVEST model, and the geographical detector model to predict future land cover changes and identify the primary drivers of variations in carbon stocks. …”
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Ionospheric Time Series Prediction Method Based on Spatio-Temporal Graph Neural Network
Published 2025-06-01“…For 2015, the experimental results show a 21.9% RMSE reduction at low latitudes compared to the results of the iTransformer model. …”
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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data
Published 2025-07-01“…These quantum algorithms exploit certain quantum phenomena (superposition and entanglement) to perform modelling of nonlinear relationships, dimensionality reduction, and class-imbalance issues. …”
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Gender differences in the relationship between big five personality traits and aggression among physical education students
Published 2025-03-01“…Statistical analyses, including Pearson correlation, one-way ANOVA, and hierarchical regression models, were performed to examine the relationship between personality traits and various types of aggression, as well as to explore gender-specific patterns. …”
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Global, regional, and national temporal trends in mortality and disease burden of nasopharyngeal carcinoma attributable to smoking from 1990 to 2021 and predictions to 2040
Published 2025-06-01“…Clustering analysis was applied to evaluate the variation patterns across 21 regions. The NORDPRED age-period-cohort model was used for prediction. …”
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A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction.
Published 2025-01-01“…The DCA-BiLSTM achieves an [Formula: see text] of 0.9507 for Apple, 0.9595 for Google, 0.9077 for Tesla, and 0.9594 for the Nasdaq index, with significant reductions in error metrics across all datasets. These results demonstrate the model's robustness and improved predictive accuracy, offering reliable insights for stock price forecasting.…”
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Towards sustainable architecture: Enhancing green building energy consumption prediction with integrated variational autoencoders and self-attentive gated recurrent units from mult...
Published 2025-01-01“…ROC curve analysis demonstrates our model's robustness, achieving an Area Under the Curve (AUC) of 0.91 while maintaining a low false positive rate (FPR) and high true positive rate (TPR). …”
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新編中學生考試焦慮因應量表:以潛在類別分析取向探究學生因應組型及預測因子 Coping Scale With Test Anxiety (COSTA) for Adolescent Students: Exploring Coping Profiles and Predictors Through a Latent Class Analysis Approa...
Published 2025-03-01“…Results showed that certain individual attributes could indeed predict coping patterns. For example, less desirable coping patterns, such as the “Low Coping” and “Abandon and Accept” groups, were more likely among students with fewer books at home, less study time on weekends, lower test anxiety, higher uncertainty, and lower class ranks. …”
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Canalization of gene expression in the Drosophila blastoderm by gap gene cross regulation.
Published 2009-03-01“…The model correctly predicts the reduced variation of the gap gene expression patterns and allows the characterization of the canalizing mechanism. …”
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Epidemiology and temporal trends of childhood type 1 diabetes in China: an analysis of the GBD 2021
Published 2025-07-01“…Joinpoint regression analysis was applied to evaluate changes in incidence and mortality rates from 1990 to 2021, complemented by autoregressive integrated moving average (ARIMA) and exponential smoothing state space (ETS) models to project disease trends through 2040.ResultsThe results indicate a rising trend in the incidence of childhood T1D among Chinese children aged 0-14 years, alongside an overall decline in mortality, reflecting an epidemiological pattern characterized by low incidence yet non-negligible mortality. …”
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