Various natural factors and spatial distribution of the Grand Canal (East Zhejiang section)-Maritime Silk Road cultural heritage. حسب Jie Li (15030)

الموضوعات:

Overall kernel density of the Grand Canal (East Zhejiang section)-Maritime Silk Road cultural heritage. حسب Jie Li (15030)

الموضوعات:

All infection data from the study. حسب Hala Tamim El Jarkass (16625309)

الموضوعات:

Prime sequences. حسب Qiaozhen Qin (13159201)

الموضوعات:

Relationship between miR-129-5p and Mysm1 in depressed mice. حسب Qiaozhen Qin (13159201)

الموضوعات:

Cultural heritage dataset. حسب Jie Li (15030)

الموضوعات:

Stereotactic injection of AAV-miR-129-5p attenuated microglia activation in depressed mice. حسب Qiaozhen Qin (13159201)

الموضوعات:

Stereotactic injection of AAV-miR-129-5p suppressed astrocyte activation in depressed mice. حسب Qiaozhen Qin (13159201)

الموضوعات:

Overexpression of miR-129-5p alleviated depression-like behaviors by increasing ATP content. حسب Qiaozhen Qin (13159201)

الموضوعات:

Overexpression of miR-129-5p alleviated the depressive-like phenotypes of CRS and LPS treated mice. حسب Qiaozhen Qin (13159201)

الموضوعات:

Loss of C1-FDX results in a reduction of the CI and CV activity. حسب Baoyin Chen (2635399)

Illumination distributions (a-c) and variations in illuminance values along the x-axis (d-f) of the CL at different angles. حسب Fei Li (143236)

الموضوعات:

Illumination distributions (a-c) and variations in illuminance values along the x-axis (d-f) of the RHL at different angles. حسب Fei Li (143236)

الموضوعات:

A funnel plot shows the distribution of HIV-related perceived stigma among people living with HIV/AIDS in Africa. حسب Gebresilassie Tadesse (18069820)

الموضوعات:

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

"…Simulations and experiments demonstrate that precise voltage adjustments effectively minimize ion leakage, enhancing resolving power by 50% (reaching a maximum of 106), while the corresponding decrease in signal intensity follows the <i>I</i>_p–<i>R</i>_p linear relationship. …"

Testing set error. حسب 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. …"

Internal structure of an LSTM cell. حسب 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. …"

Prediction effect of each model after STL. حسب 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. …"

The kernel density plot for data of each feature. حسب 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. …"

Analysis of raw data prediction results. حسب 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. …"