This study focuses on Shanghai Port, utilizing multi-dimensional data from 2005 to 2024. It examines the impact of various factors on the port's container throughput from four perspectives: infrastructure, economic structure, port efficiency, and port development potential. A multiple linear regression model was constructed to predict Shanghai Port's container throughput. The results indicate that Gross Domestic Product (GDP) and the employed population significantly influence container throughput. After refinement, the model can accurately forecast future container throughput at Shanghai Port, providing a scientific basis for various development plans and decision-making processes.

Keywords: Prediction of Container Throughput in Shanghai Port, Influencing Factors, Multiple Linear Regression, Stepwise Regression.

In this study, we aimed to explore the potential of marula seeds as a natural coagulant for treating raw water using the Jar test method. Our analysis, which included XRF, SEM, FTIR, and Proximate analysis, revealed some noteworthy findings. The cake produced during the process was found to have a significant composition of Al2O3 (17%) and SiO3 (13%). SEM analysis indicated an irregular structure, which is conducive to the adsorption process, aiding in the sedimentation of flocs. Furthermore, our FTIR analysis showed distinct peaks at 1033.88 cm-1 and 1458.23 cm-1, suggesting the presence of amines, alkenes, and hydroxyl groups........

Keywords: Marula seed, Natural coagulant, Jar test.