<b>Relationship between </b><b>plant</b><b> </b><b>anatomical </b><b>traits and yield among </b><b>different</b><b> winter wheat genotypes in</b><b> </b><b>dry environment</b><b>s<... by Du (17111761)

“…Although yield has no significant correlation with flag leaf mesphyll area, leaf vein area and leaf vein density in Zhuanglang and Dingxi, it was negatively correlated with stomatal length, but positively correlated with abaxial stomatal density at thesis in Zhuanglang, showing that smaller but more abaxial stomata could promote increased yield. …”

Data Sheet 1_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.docx by Xinyi Shi (3133611)

“…Ultra performance liquid chromatography quadrupole time of flight mass spectrometry (UPLC-QTOF/MS) and 16S rRNA gene sequencing were employed to analysis the respiratory microbiome and serum metabolic characteristics of 85 patients with IAV infection and age-matched 55 controls with respiratory disease who tested negative for 13 types of respiratory pathogens. The serum metabolic profile of IAV patients was significantly changed, and the purine metabolism was destroyed. …”

Image 2_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…Ultra performance liquid chromatography quadrupole time of flight mass spectrometry (UPLC-QTOF/MS) and 16S rRNA gene sequencing were employed to analysis the respiratory microbiome and serum metabolic characteristics of 85 patients with IAV infection and age-matched 55 controls with respiratory disease who tested negative for 13 types of respiratory pathogens. The serum metabolic profile of IAV patients was significantly changed, and the purine metabolism was destroyed. …”

Image 5_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…Ultra performance liquid chromatography quadrupole time of flight mass spectrometry (UPLC-QTOF/MS) and 16S rRNA gene sequencing were employed to analysis the respiratory microbiome and serum metabolic characteristics of 85 patients with IAV infection and age-matched 55 controls with respiratory disease who tested negative for 13 types of respiratory pathogens. The serum metabolic profile of IAV patients was significantly changed, and the purine metabolism was destroyed. …”

Image 6_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…Ultra performance liquid chromatography quadrupole time of flight mass spectrometry (UPLC-QTOF/MS) and 16S rRNA gene sequencing were employed to analysis the respiratory microbiome and serum metabolic characteristics of 85 patients with IAV infection and age-matched 55 controls with respiratory disease who tested negative for 13 types of respiratory pathogens. The serum metabolic profile of IAV patients was significantly changed, and the purine metabolism was destroyed. …”

Image 4_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…Ultra performance liquid chromatography quadrupole time of flight mass spectrometry (UPLC-QTOF/MS) and 16S rRNA gene sequencing were employed to analysis the respiratory microbiome and serum metabolic characteristics of 85 patients with IAV infection and age-matched 55 controls with respiratory disease who tested negative for 13 types of respiratory pathogens. The serum metabolic profile of IAV patients was significantly changed, and the purine metabolism was destroyed. …”

Image 3_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…Ultra performance liquid chromatography quadrupole time of flight mass spectrometry (UPLC-QTOF/MS) and 16S rRNA gene sequencing were employed to analysis the respiratory microbiome and serum metabolic characteristics of 85 patients with IAV infection and age-matched 55 controls with respiratory disease who tested negative for 13 types of respiratory pathogens. The serum metabolic profile of IAV patients was significantly changed, and the purine metabolism was destroyed. …”

Image 1_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…Ultra performance liquid chromatography quadrupole time of flight mass spectrometry (UPLC-QTOF/MS) and 16S rRNA gene sequencing were employed to analysis the respiratory microbiome and serum metabolic characteristics of 85 patients with IAV infection and age-matched 55 controls with respiratory disease who tested negative for 13 types of respiratory pathogens. The serum metabolic profile of IAV patients was significantly changed, and the purine metabolism was destroyed. …”

Relating the biophysical forces that govern bacterial adhesion to experimental data. by Mikkel Anbo (15287803)

“…In the absence of EDTA, adhesion of both strains increases as pH decreases. The electrostatic repulsion between the negatively charged substrate and bacteria is reduced, as negatively charged phosphates in the LPS become increasingly protonated at decreasing pH. …”

Data Sheet 1_The role of lycopene in alleviating soybean meal-induced intestinal injury in an early-weaned piglet model.docx by Shugui Zheng (18151898)

“…</p>Conclusion<p>These findings demonstrated that lycopene supplementation in SBM-based diets significantly enhanced antioxidant capacity, decreased apoptosis in small intestinal cells, improved intestinal barrier function and morphology, and optimized gut microbiota composition. …”

Supplementary file 1_First exposure to second-generation antipsychotics alters gut microbiota and metabolic profiles in patients with glucose-lipid metabolism disorders.docx by Yuexia Wu (10755903)

“…Metabolomic analysis revealed decreased levels of oleamide and stearamide in the post-medication group, which exhibited a negative correlation with the abundance of Faecalibacterium. …”

Synergy is not captured by low-dimensional manifolds. by Thomas F. Varley (8446899)

“…<b>Top right:</b> The same pattern can be seen in synergy-dominated triads as well: a more strongly negative value is associated with decreasing variance explained by the first principal components. …”

Table_1_Associations of dietary sources of antioxidant intake and NAFLD: NHANES 2017–2020 and Mendelian randomization.DOCX by Zilong Yue (19966818)

“…</p>Conclusion<p>Our research indicates a negative and linear relationship between daily vitamin E intake and NAFLD.…”

Table_1_Associations of dietary sources of antioxidant intake and NAFLD: NHANES 2017–2020 and Mendelian randomization.DOCX by Zilong Yue (19966818)

“…</p>Conclusion<p>Our research indicates a negative and linear relationship between daily vitamin E intake and NAFLD.…”

Table_2_Associations of dietary sources of antioxidant intake and NAFLD: NHANES 2017–2020 and Mendelian randomization.DOCX by Zilong Yue (19966818)

“…</p>Conclusion<p>Our research indicates a negative and linear relationship between daily vitamin E intake and NAFLD.…”

Table_2_Associations of dietary sources of antioxidant intake and NAFLD: NHANES 2017–2020 and Mendelian randomization.DOCX by Zilong Yue (19966818)

“…</p>Conclusion<p>Our research indicates a negative and linear relationship between daily vitamin E intake and NAFLD.…”

Data Sheet 1_Structural and functional characterization of gut microbiota in dyslipidemic patients from high-altitude Tibetan pastoral areas.pdf by Juanjuan Chen (127202)

“…In contrast, the enriched functional pathways were significantly negatively correlated with TC but positively correlated with high-density lipoprotein cholesterol (HDL-C).…”

Data Sheet 1_Astragalus polysaccharide modulates the gut microbiota and metabolites of patients with major depressive disorder in an in vitro fermentation model: a pilot study.xlsx by Yuwei Mi (18003969)

“…Compared with APS, APS with PS128 synbiotics fermentation increased the abundance of Lactobacillus (p < 0.05), reduced total gas production and percentages of CO₂, H₂, and H₂S (p < 0.05), and to some extent increased the levels of ILA, Trp, and 5-HTP, although not statistically significant (p > 0.05). Correlation analysis showed Bifidobacterium was positively correlated with ILA, Trp and 5-HTP; On the contrary, Lachnoclostridium was negatively correlated with ILA, Trp, and 5-HTP. …”

Table 1_Structural and functional characterization of gut microbiota in dyslipidemic patients from high-altitude Tibetan pastoral areas.xlsx by Juanjuan Chen (127202)

“…In contrast, the enriched functional pathways were significantly negatively correlated with TC but positively correlated with high-density lipoprotein cholesterol (HDL-C).…”

Table 1_Assessing the impact of risk perception on fisheries performance: a structural equation modeling approach in coastal fisheries.docx by Muhammad Mohsin (1335447)

“…Published literature documents such a scenario in the case of Pakistan, which results in a decreased economic contribution to the fisheries sector. …”