Image 2_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tiff by Qitian Zhang (19791372)

“…Subgroup and sensitivity analyses were conducted to further validate the robustness of the results.</p>Results<p>A total of 876 CA patients were included. Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Table 1_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.xlsx by Qitian Zhang (19791372)

“…Subgroup and sensitivity analyses were conducted to further validate the robustness of the results.</p>Results<p>A total of 876 CA patients were included. Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Image 1_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tiff by Qitian Zhang (19791372)

“…Subgroup and sensitivity analyses were conducted to further validate the robustness of the results.</p>Results<p>A total of 876 CA patients were included. Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Image 4_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tiff by Qitian Zhang (19791372)

“…Subgroup and sensitivity analyses were conducted to further validate the robustness of the results.</p>Results<p>A total of 876 CA patients were included. Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Image 5_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tif by Qitian Zhang (19791372)

“…Subgroup and sensitivity analyses were conducted to further validate the robustness of the results.</p>Results<p>A total of 876 CA patients were included. Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Image 3_The association between fluid balance trajectories and prognosis in ICU patients with cardiac arrest, a group-based trajectory model analysis.tiff by Qitian Zhang (19791372)

“…Subgroup and sensitivity analyses were conducted to further validate the robustness of the results.</p>Results<p>A total of 876 CA patients were included. Four distinct FB trajectory patterns were identified, Trajectory 1 (rapid transition to negative balance), Trajectory 2 (stable balance), Trajectory 3 (positive balance gradually decreasing), and Trajectory 4 (decreasing at a high level). …”

Image 2_Soil acidification and nutrient imbalance mediate fungal community degradation, a key driver of continuous cropping obstacles in Platycodon grandiflorus.tif by Li Li (14993)

Image 1_Soil acidification and nutrient imbalance mediate fungal community degradation, a key driver of continuous cropping obstacles in Platycodon grandiflorus.jpeg by Li Li (14993)

Table 1_Soil acidification and nutrient imbalance mediate fungal community degradation, a key driver of continuous cropping obstacles in Platycodon grandiflorus.docx by Li Li (14993)

Table 2_Soil acidification and nutrient imbalance mediate fungal community degradation, a key driver of continuous cropping obstacles in Platycodon grandiflorus.docx by Li Li (14993)

Image 3_VdPAT1 encoding a pantothenate transporter protein is required for fungal growth, mycelial penetration and pathogenicity of Verticillium dahliae.jpeg by Stephen Mwangi Kamau (20576060)

“…</p>Results and discussion<p>The VdPAT1 deletion mutants displayed reduced colony growth, melanin production, spore yield and germination rate, showed abnormal mycelial branching and decreased ability of mycelial penetration and utilization of nutrients (carbon, amino acids and vitamin), leading to a lower pathogenicity. …”

Table 1_VdPAT1 encoding a pantothenate transporter protein is required for fungal growth, mycelial penetration and pathogenicity of Verticillium dahliae.xlsx by Stephen Mwangi Kamau (20576060)

“…</p>Results and discussion<p>The VdPAT1 deletion mutants displayed reduced colony growth, melanin production, spore yield and germination rate, showed abnormal mycelial branching and decreased ability of mycelial penetration and utilization of nutrients (carbon, amino acids and vitamin), leading to a lower pathogenicity. …”

Image 1_VdPAT1 encoding a pantothenate transporter protein is required for fungal growth, mycelial penetration and pathogenicity of Verticillium dahliae.jpeg by Stephen Mwangi Kamau (20576060)

“…</p>Results and discussion<p>The VdPAT1 deletion mutants displayed reduced colony growth, melanin production, spore yield and germination rate, showed abnormal mycelial branching and decreased ability of mycelial penetration and utilization of nutrients (carbon, amino acids and vitamin), leading to a lower pathogenicity. …”

Image 2_VdPAT1 encoding a pantothenate transporter protein is required for fungal growth, mycelial penetration and pathogenicity of Verticillium dahliae.jpeg by Stephen Mwangi Kamau (20576060)

“…</p>Results and discussion<p>The VdPAT1 deletion mutants displayed reduced colony growth, melanin production, spore yield and germination rate, showed abnormal mycelial branching and decreased ability of mycelial penetration and utilization of nutrients (carbon, amino acids and vitamin), leading to a lower pathogenicity. …”

Image 1_A WRKY transcription factor, SlWRKY75, positively regulates tomato (Solanum lycopersicum L.) resistance to Ralstonia solanacearum.tif by Na Chen (153323)

“…<p>WRKYs are a unique family of plant-specific transcription factors. …”

Table 2_A WRKY transcription factor, SlWRKY75, positively regulates tomato (Solanum lycopersicum L.) resistance to Ralstonia solanacearum.doc by Na Chen (153323)

“…<p>WRKYs are a unique family of plant-specific transcription factors. …”

Table 1_A WRKY transcription factor, SlWRKY75, positively regulates tomato (Solanum lycopersicum L.) resistance to Ralstonia solanacearum.doc by Na Chen (153323)

“…<p>WRKYs are a unique family of plant-specific transcription factors. …”

Image 2_A WRKY transcription factor, SlWRKY75, positively regulates tomato (Solanum lycopersicum L.) resistance to Ralstonia solanacearum.tif by Na Chen (153323)

“…<p>WRKYs are a unique family of plant-specific transcription factors. …”

Table 1_Influence of age and sex on the diagnostic accuracy of pleural fluid carcinoembryonic antigen for malignant pleural effusion: a post hoc analysis.docx by Dan-Ni Yang (17642947)

“…</p>Methods<p>We enrolled participants from a prospective cohort (SIMPLE) and a retrospective cohort (BUFF). …”

Supplementary Material for: Impact of Liraglutide 3.0 mg on Metabolic Dysfunction-Associated Steatotic Liver Disease in Individuals with Obesity: A Real-World Study by figshare admin karger (2628495)

“…Hepatic steatosis index (HSI) and non-alcoholic fatty liver disease (NAFLD) liver fat score also decreased significantly (HSI: 44.7 ± 6.2 to 42.2 ± 5.8 p<0.001; NAFLD liver fat score: 2.12 ± 2.90 to 0.43 ± 1.91, p<0.001). …”