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Current integrated modeling frameworks for simulating nutrient sources and dynamics are inadequate for large regional watersheds dominated by groundwater‐surface water interactions due to their simplistic representations of groundwater. In this study, we develop a coupled model that integrates comprehensive surface water, 3‐D groundwater, soil erosion, and nutrient processes. The model is intended to enhance the understanding of nutrient dynamics and sources in the Pearl River Basin (PRB). The model exhibits satisfactory performance in simulating streamflow and sediment transport patterns, capturing essential seasonal variations in water quality indicators. Hydrological budget assessments from 2002 to 2020 in the PRB reveal that 54% of precipitation drains into the South China Sea as surface water, while groundwater discharge as baseflow accounts for 18% of the streamflow. The nutrient budget for the PRB indicates that non‐point sources are the dominant contributors to both nitrogen (N) and phosphorus (P), ranging between 64% and 90%. Improved sewage collection and treatment have reduced point source nutrient contributions over the evaluation period. Groundwater remains a significant and consistent source of N, contributing between 11% and 19%. Natural disturbances and fertilization have led to an upward trend in river N inputs, while afforestation and sewage reduction efforts have resulted in a downward trend in river P inputs. Increased fertilization emerges as a central concern for the PRB, suggesting cost‐effective mitigation of fertilizer usage a pragmatic solution. The coupled simulation model developed in this study offers a novel systems approach for basin‐wide nutrient analysis and pollution control strategies, considering both natural and human‐induced disturbances. Water nutrient pollution is a global problem caused by both natural and human factors. To better understand nutrient pollution, a new model has been developed that combines water flow, soil erosion, and nutrient transport to simulate water and nutrient cycling on a regional scale. This model can assist in the management of water pollution by providing a better understanding of nutrient sources and quantifying the contribution of climate change and different human activities. Tested in the Pearl River Basin from 2002 to 2020, the model accurately simulated water flow and nutrient patterns. A key finding is that groundwater supplies 18% of water and 14% of nitrogen inputs of the Pearl River. The main sources of pollutants are non‐point agricultural sources, primarily from fertilization. Climate variability leads to more runoff and nutrient input, while improved sewage treatment and afforestation have reduced nutrient pollution. The model allows the exploration of different influencing factors to better control nutrient pollution. Understanding how human activities impact different regions is crucial for effective nutrient pollution management. A novel system model integrates water, soil, and nutrient dynamics for effective regional watershed managementNon‐point source nutrients are the major contributors of nitrogen and phosphorus levels in the Pearl River Basin, accounting for 64%–90%The rise in fertilization poses a growing concern for the Pearl River Basin, underscoring the need for cost‐effective mitigation strategies A novel system model integrates water, soil, and nutrient dynamics for effective regional watershed management Non‐point source nutrients are the major contributors of nitrogen and phosphorus levels in the Pearl River Basin, accounting for 64%–90% The rise in fertilization poses a growing concern for the Pearl River Basin, underscoring the need for cost‐effective mitigation strategies

A photolabile protecting group (PPG) 2-(2-nitrophenyl)-propyloxycarbonyl (NPPOC) was explored in glycosylation and applied in the consecutive synthesis of oligosaccharides. NPPOC displays a strong neighboring group participation (NGP) effect to facilitate the construction of 1,2-transglycosides in excellent yield. Notably, NPPOC could be efficiently removed by photolysis, and the deprotection conditions are friendly to typical protecting groups. A branched and asymmetric oligomannose Man6 was rapidly prepared, and the consecutive assembly of oligosaccharides without intermediate purification was further investigated owing to the compatibility conditions between NPPPOC’s photolysis and glycosylation.

End-tagging with a single hydrophobic residue contributes to improve the cell selectivity of antimicrobial peptides (AMPs), but systematic studies have been lacking. Thus, this study aimed to systematically investigate how end-tagging with hydrophobic residues at the C-terminus and Gly capped at the N-terminus of W4 (RWRWWWRWR) affects the bioactivity of W4 variants. Among all the hydrophobic residues, only Ala end-tagging improved the antibacterial activity of W4. Meanwhile, Gly capped at the N-terminus could promote the helical propensity of the end-tagged peptides in dodecylphosphocholine micelles, increasing their antimicrobial activities. Of these peptides, GW4A (GRWRWWWRWRA) showed the best antibacterial activity against the 19 species of bacteria tested (GMMIC= 1.86 μM) with low toxicity, thus possessing the highest cell selectivity (TIall= 137.63). It also had rapid sterilization, good salt and serum resistance, and LPS-neutralizing activity. Antibacterial mechanism studies showed that the short peptide GW4A killed bacteria by destroying cell membrane integrity and causing cytoplasmic leakage. Overall, these findings suggested that systematic studies on terminal modifications promoted the development of peptide design theory and provided a potential method for optimization of effective AMPs.

An efficient and catalytic protocol for highly stereoselective construction of β-mannopyranosylation has been developed. Glycosylation of 2,6-lactone-bridged mannopyranosyl ortho-hexynylbenzoate with various acceptors proceeded smoothly in the presence of 5% Hg(II) at room temperature, resulting in the corresponding β-mannosides in high yield and exclusive β-stereoselectivity

In recent years, internet addiction disorder (IAD) has become more prevalent worldwide and the recognition of its devastating impact on the users and society has rapidly increased. However, the neurobiological mechanism of IAD has not bee fully expressed. The present study was designed to determine if the striatal dopamine transporter (DAT) levels measured by T99mc-TRODAT-1 single photon emission computed tomography (SPECT) brain scans were altered in individuals with IAD. SPECT brain scans were acquired on 5 male IAD subjects and 9 healthy age-matched controls. The volume (V) and weight (W) of bilateral corpus striatum as well as the T99mc-TRODAT-1 uptake ratio of corpus striatum/the whole brain (Ra) were calculated using mathematical models. It was displayed that DAT expression level of striatum was significantly decreased and the V, W, and Ra were greatly reduced in the individuals with IAD compared to controls. Taken together, these results suggest that IAD may cause serious damages to the brain and the neuroimaging findings further illustrate IAD is associated with dysfunctions in the dopaminergic brain systems. Our findings also support the claim that IAD may share similar neurobiological abnormalities with other addictive disorders.