The MAE value of the model under raw data. by Xiangjuan Liu (618000)

“…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. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”

Three error values under raw data. by Xiangjuan Liu (618000)

“…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. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”

Panel quantile regression results. by Getachew Magnar Kitila (19935139)

“…The empirical findings show that greater trade openness is associated with significantly higher CO2 emission, additionally; it demonstrates that the influence is heterogeneous across different CO2 emission quantiles in African countries. …”

Decomposition of time scries plot. by Xiangjuan Liu (618000)

“…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. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”

Achieving Improved Ion Swarm Shaping Based on Ion Leakage Control in Ion Mobility Spectrometry by Jiyao Wang (2121157)

“…In Ion Mobility Spectrometry (IMS), ion gates are essential for controlling ion flow, significantly impacting detection sensitivity and resolution. …”

AO/EtBr Staining of Cancer cell lines: <i>To check whether vitamin D3 promoted cell death in cancer cells, a dual staining protocol was implemented as detailed in the methods secti... by Vidya G. Bettada (22208808)

Dynamics and functional role of TOR signaling during cell cycle re-entry in Vasa2+/Piwi1+ cells after refeeding. by Eudald Pascual-Carreras (12115380)

Gating strategy of experiment using 30 min EdU pulses experiments in mOr2-Piwi1 juvenile polyps. by Eudald Pascual-Carreras (12115380)

<i>hdc</i> silencing results in cellular stress in the hematopoietic niche. by Bayan Kharrat (19959505)

“…(C) A scatter dot plot showing the fold change (average = 3.2 folds) increase in the mean fluorescence intensity (MFI) of <i>gstD-GFP</i> in the PSC of <i>col>hdcRNAi</i> (<i>Pcol85-Gal4</i>,<i>UAS-hdcRNAi/gstD-GFP</i>) larvae in comparison to the control (<i>Pcol85-Gal4/gstD-GFP</i>). …”

KEGG functional enrichment analyses of the differentially methylated genes for iron oxidation (A) and sulfur oxidation (B) <i>A. ferrooxidans</i> cultivated under copper stress The... by JingQi Liu (17896479)

BPCA ratios and proxies evaluated in this study. The variable <i>n</i> in the equation for the Average CAS refers to the number of carboxylic acid substitutions (3, 4, 5 or 6). The... by Ivy Notterpek (21368133)

Characteristics of studies. by I-Wen Chen (9548687)

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Forest plot showing the association between comorbidities and risk of deep vein thrombosis (DVT). by I-Wen Chen (9548687)

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Pooled incidence of deep vein thrombosis (DVT) across the included studies. by I-Wen Chen (9548687)

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Funnel plot assessing publication bias for studies examining the association between elevated NLR and DVT risk. by I-Wen Chen (9548687)

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Subgroup analysis was performed based on the time frame during which deep vein thrombosis (DVT) occurred (preoperative vs. postoperative). by I-Wen Chen (9548687)

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Leave-one-out sensitivity analysis showing the stability of the association between elevated NLR and DVT risk. by I-Wen Chen (9548687)

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Forest plot showing the pooled mean difference in neutrophil-to-lymphocyte ratio (NLR) between patients who developed deep vein thrombosis (DVT) and those who did not. by I-Wen Chen (9548687)

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Forest plot showing the association between patient characteristics and risk of deep vein thrombosis (DVT). by I-Wen Chen (9548687)

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Flow chart of study selection. by I-Wen Chen (9548687)

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