To investigate the prevalence and influencing factors of Early Childhood Caries (ECC) in Longgui Street in Baiyun District of Guangzhou and establish a prediction model to establish a basis for the overall diagnosis and prevention of ECC. Seven kindergartens were randomly selected from seven administrative villages on Longgui Street, and more than 300 kindergartens were needed. A total of 1,096 preschool children were included. The questionnaires were distributed to parents to investigate the oral health behavior and medical treatment behavior of the tested children and the oral health knowledge behavior of the tested parents, and the results were analyzed differently to establish a prediction model. The incidence of dental caries in 1096 preschool children was 18.6%, with age being a risk factor for dental caries (p<0.05, OR>1); only child status being a protective factor for dental caries (p<0.05, OR<1); family income level being a protective factor for dental caries (p<0.05, OR<1); chewing food-feeding children being a risk factor for dental caries (p<0.05, OR>1); starting brushing time being a protective factor for dental caries (p<0.05, OR<1); and toothache informing family members that it is a risk factor for dental caries (p<0.05, OR>1), but this factor is not suitable as a predictive factor because, in many cases, children who inform their parents that they already have dental caries disease. Parents' awareness of whether bacteria can cause gum inflammation and dental caries plays an important role in their oral health knowledge and attitudes. Conclusion: The prevalence of dental caries among preschool children in Longgui Street of Baiyun District is lower than the national level, indicating that remarkable achievements have been made in the prevention of dental caries among preschool children in Longgui Street. Dental caries in preschool children on Longgui Street are closely related to children's age, whether they are only children, parents' education level, parents' oral knowledge, beliefs and behaviors, and children's bad oral behaviors. Oral health behaviors should be cultivated as early as possible, and some aspects of traditional feeding habits should be abandoned.

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Objective: This study aims to screen brewing sorghum materials from sorghum germplasm resources and conduct differential analysis, in order to address the issues of cultivar degradation and varietal homogenization. Methods: UPLC-MS/MS-based metabolomics was employed to analyze primary metabolites in five sorghum cultivars. Multivariate statistical methods, including Principal Component Analysis (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA), were used in combination with metabolic pathway enrichment analysis to systematically explore the effects of varietal differences on sorghum primary metabolite profiles. Results: A total of 503 metabolites were detected in this study. Statistical analyses indicated that sorghum cultivar had a significant influence on both the composition and abundance of metabolites. The OPLS-DA model revealed distinct clustering among the cultivar samples, suggesting that primary metabolic profiles exhibit cultivar specificity. Metabolic pathway enrichment analysis further revealed that the metabolic differences among cultivars were mainly concentrated in pathways related to amino acids, flavonoids, and phenolic acids, with changes in flavonoid compounds being particularly prominent. This study not only provides a metabolomic basis for sorghum cultivar identification, but also offers scientific reference for sorghum cultivation and the breeding of brewing-specific cultivars. Conclusion: Based on UPLC-MS/MS metabolomics technology, this study analyzed the primary metabolites of five sorghum cultivars and detected a total of 503 metabolites. Comparative analyses among samples from different regions (hyz vs. jinl, hyz vs. jinnl, hyz vs. lnh, hyz vs. lz19, jinl vs. lz19, jinnl vs. jinl, jinnl vs. lz19, lnh vs. jinl, lnh vs. jinnl, lnh vs. lz19) identified 175, 179, 152, 175, 123, 187, 153, 194, 220, and 170 significantly different metabolites, respectively, indicating substantial differences in metabolic profiles among sorghum cultivars. Further analysis showed that varietal differences significantly affected metabolite composition and relative abundance, and these specific metabolites may serve as potential biomarkers for cultivar identification. KEGG pathway enrichment analysis indicated that flavonoid biosynthesis was the major differential metabolic pathway, with particularly notable changes in flavonoid compounds. These findings suggest that flavonoid metabolism plays a key role in cultivar-specific metabolic regulation and provides valuable insight into the molecular mechanisms underlying sorghum quality formation.

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The ocean covers more than 70% of the Earth's surface and is an important part of the global life support system. However, in recent years, due to factors such as overfishing, marine pollution, and climate change, the marine ecosystem has been under unprecedented pressure, and there is a serious trend of in fishery resources. This study focuses on the impact of marine conservation on the sustainable development of fisheries, exploring synergistic effects with green chemical technology. By analyzing the relationship between marine ecosystem services and fishery resources, it reveals the negative impacts of overfishing and pollution on fisheries and ecosystems, emphasizing the necessity of conservation measures. The study indicates that green chemical technology significantly reduces pollution from fishery activities to the marine environment through some means such as developing friendly fishing nets, degradable materials, and efficient wastewater treatment systems, providing technical support for the recovery of fishery resources and so on.

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To screen for interacting proteins of the rice thylakoid lumen protein OsTLP16.5 (encoded by Os06g0705100), which will help to elucidate the molecular regulatory mechanisms of OsTLP16.5 in rice. Total RNA was extracted from rice to construct a cDNA library. A yeast two-hybrid (Y2H) bait vector, pGBKT7-OsTLP16.5, was constructed to screen candidate target proteins using the yeast two-hybrid system, followed by interaction validation. Large-scale screening was performed using next-generation sequencing (NGS) technology. The bait vector pGBKT7-OsTLP16.5 was successfully constructed and verified to be free of autoactivation. A library screen identified 32 potential interacting proteins, of which 3 showed positive interactions after validation. NGS technology revealed 977 potential interacting proteins, including 51 chloroplast-associated proteins. A rice cDNA library was successfully constructed, and interacting proteins of OsTLP16.5 were identified, providing a foundation for studying how OsTLP16.5 functions in rice.

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