Descriptive statistical analysis of 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. …”

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. …”

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. …”

Estimated results of the mediation effect. by Getachew Magnar Kitila (19935139)

“…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”

Panel unit root test result. by Getachew Magnar Kitila (19935139)

“…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”

Kernel density estimation for CO2. by Getachew Magnar Kitila (19935139)

“…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”

Change in panel quantile regression coefficients. by Getachew Magnar Kitila (19935139)

“…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”

Definitions of variables and measurements. by Getachew Magnar Kitila (19935139)

“…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”

Regression estimates: Double threshold model. by Getachew Magnar Kitila (19935139)

“…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”

Results from cross sectional dependence test. by Getachew Magnar Kitila (19935139)

“…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”

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

“…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”

Table1_Neutrophil extracellular traps as immunofibrotic mediators in RA-ILD; pilot evaluation of the nintedanib therapy.docx by Aliki I. Venetsanopoulou (12197432)

“…Objective<p>Rheumatoid arthritis-associated interstitial lung disease (RA-ILD) is a significant pulmonary complication of RA. This study tried to elucidate the mechanisms enhancing inflammation and causing lung injury in RA-ILD, focusing on the role of neutrophil extracellular traps (NETs). …”

Image1_Neutrophil extracellular traps as immunofibrotic mediators in RA-ILD; pilot evaluation of the nintedanib therapy.tif by Aliki I. Venetsanopoulou (12197432)

“…Objective<p>Rheumatoid arthritis-associated interstitial lung disease (RA-ILD) is a significant pulmonary complication of RA. This study tried to elucidate the mechanisms enhancing inflammation and causing lung injury in RA-ILD, focusing on the role of neutrophil extracellular traps (NETs). …”

A working model for the RRSV Pns10-promoted RRSV infection in <i>N. lugens</i> through inducing NlNDUFS1-mediated mitochondrial apoptosis. by Lianshun Zheng (22086585)

“…This impairment of mitochondrial complex I activity results in a significant decrease of ATP production and an increase of mitochondrial ROS production, which causes mitochondrial apoptosis to facilitate RRSV infection in <i><i>N. lugens</i></i>.…”

<i>C</i>. <i>auris</i> uses a unique cell wall mannan layer to evade IL-1R signaling mediated host defense. by Abishek Balakumar (20189865)

Image1_RETRACTED: miR-16 and Fluoxetine Both Reverse Autophagic and Apoptotic Change in Chronic Unpredictable Mild Stress Model Rats.tif by Yang Yang (45629)

“…An open field test and sucrose preference quantification displayed a significant decrease in the CUMS groups when compare to the control groups, however these changes were attenuated by both miR-16 and Fluoxetine treatments. …”

Minimal dataset. by Jennifer M. Kwan (3350321)

“…Fortunately, the occurrence of myo/pericarditis was relatively uncommon, and the overall cardiovascular risks of dual ICI therapy appeared to be offset by a significant mortality benefit. The use of multimodal cardiac imaging can be helpful in stratifying risk and guiding preventative cardiovascular management in patients receiving ICIs.…”

Representative 2D and 3D images ofmolecular docking of Viscosol. by Summan Thahiem (20988319)

Substrate codes and ratios used in the study. by Caglar Akcay (6910697)

“…Among the substrates, OW 91% + WB 9% yielded the highest mushroom production (46 g/kg), whereas CH (18.3 g/kg) resulted in the lowest yield, with no significant difference compared to WS (18.5 g/kg). Following mushroom cultivation, the holocellulose content and pH values of the substrates decreased proportionally, while alpha-cellulose, extractives, and ash content increased. …”