Trend of ONSD over time. by Furong Bai (2080399)

Table 1_Development and validation of a nomogram for early prediction of macrolide-unresponsive Mycoplasma pneumoniae pneumonia in children.docx by Hui Liu (33624)

“…Background<p>Mycoplasma pneumoniae (MP) is a leading cause of community-acquired pneumonia in children, with a significant increase in incidence following the COVID-19 pandemic. …”

Table 3_Development and validation of a nomogram for early prediction of macrolide-unresponsive Mycoplasma pneumoniae pneumonia in children.docx by Hui Liu (33624)

“…Background<p>Mycoplasma pneumoniae (MP) is a leading cause of community-acquired pneumonia in children, with a significant increase in incidence following the COVID-19 pandemic. …”

Table 2_Development and validation of a nomogram for early prediction of macrolide-unresponsive Mycoplasma pneumoniae pneumonia in children.docx by Hui Liu (33624)

“…Background<p>Mycoplasma pneumoniae (MP) is a leading cause of community-acquired pneumonia in children, with a significant increase in incidence following the COVID-19 pandemic. …”

Data Sheet 1_Development and validation of a nomogram for early prediction of macrolide-unresponsive Mycoplasma pneumoniae pneumonia in children.pdf by Hui Liu (33624)

“…Background<p>Mycoplasma pneumoniae (MP) is a leading cause of community-acquired pneumonia in children, with a significant increase in incidence following the COVID-19 pandemic. …”

Supplementary Material for: Ectopic ACTH-dependent Cushing’s syndrome Emerging at a Late Stage of a Mixed Histology Neuroendocrine Neoplasm: a case report by Meyers M. (19672471)

“…Urinary free cortisol (UFC) measurement was 21-fold the upper limit of the reference range (3614.0 nmol/24h), and cortisol concentration did not decreases after 1mg-dexamethasone suppression test (1812 nmol/L for an expected value < 50 nmol/L), confirming the ACTH-dependent Cushing's syndrome (CS). …”

Table 1_Serum glial fibrillary acidic protein in acute stroke: feasibility to determine stroke-type, timeline and tissue-impact.docx by Julien F. Paul (20395544)

“…In AIS, GFAP levels appear to increase with longer delays since symptom onset and were higher in patients with more extensive ischemic changes on baseline CT (ASPECTS ≤7) than those without, particularly in LVO stroke. …”

Table 1_The association between body roundness index and sarcopenia in older adults: a population-based study.docx by Jing Lyu (2795911)

“…The contemporary diagnosis of sarcopenia depends on intricate and expensive techniques, such as computed tomography (CT) scans or dual-energy X-ray absorptiometry (DXA), which hinder the timely prevention of sarcopenia.…”

RNA expression analysis of immune cell-specific genes by trogocytic RCC cells in human ccRCC tumors. by Haley Q. Marcarian (19925889)

“…Respective p-values comparing fold change increase in CD45 expression after coculture as calculated by T-test: Caki-1 0.0050, ACHN 0.000019, 786O 0.00027, A498 0.0081. …”

Figure 1 from Ruthenium Drug BOLD-100 Regulates <i>BRAF</i>MT Colorectal Cancer Cell Apoptosis through AhR/ROS/ATR Signaling Axis Modulation by Daryl Griffin (15090822)

“…<i>HSPA5</i> (middle) and <i>DDIT3</i> (right) mRNA were quantified using RT-PCR. Raw values were normalized to the expression of housekeeping genes <i>ACTB</i> and <i>GAPDH</i> and were analyzed using the ΔΔCT method. mRNA levels presented are relative to untreated control. …”

Data Sheet 1_Trabecular texture and paraspinal muscle characteristics for prediction of first vertebral fracture: a QCT analysis from the AGES cohort.docx by Jana Hummel (20935943)

“…Compared to the BMD model alone, LRT showed a significantly improved VF prediction of the combinations of BMD with texture (women and men) (p<0.05) or with muscle models (men only) (p=0.03) but no significant increases in AUC values (AUC women: Age&BMI: 0.57, BMD: 0.69, combined model: 0.69; AUC men: Age&BMI: 0.63, BMD: 0.71, combined models 0.73-0.77)</p>Discussion<p>Trabecular texture and muscle parameters significantly improved prediction of first VF over age and BMI, but improvements were small compared to BMD, which remained the primary predictor for both sexes. …”

Image 5_Genetic evolution and molecular characteristics of avian influenza viruses in Jining from 2018 to 2023.tif by Mingsheng Zhao (9282536)

“…Samples with cycle threshold (CT) values below 30 were selected for influenza virus capture and whole-genome sequencing. …”

Image 6_Genetic evolution and molecular characteristics of avian influenza viruses in Jining from 2018 to 2023.tif by Mingsheng Zhao (9282536)

“…Samples with cycle threshold (CT) values below 30 were selected for influenza virus capture and whole-genome sequencing. …”

Table 1_Genetic evolution and molecular characteristics of avian influenza viruses in Jining from 2018 to 2023.docx by Mingsheng Zhao (9282536)

“…Samples with cycle threshold (CT) values below 30 were selected for influenza virus capture and whole-genome sequencing. …”

Image 3_Genetic evolution and molecular characteristics of avian influenza viruses in Jining from 2018 to 2023.tif by Mingsheng Zhao (9282536)

“…Samples with cycle threshold (CT) values below 30 were selected for influenza virus capture and whole-genome sequencing. …”

Image 4_Genetic evolution and molecular characteristics of avian influenza viruses in Jining from 2018 to 2023.tif by Mingsheng Zhao (9282536)

“…Samples with cycle threshold (CT) values below 30 were selected for influenza virus capture and whole-genome sequencing. …”

Image 1_Genetic evolution and molecular characteristics of avian influenza viruses in Jining from 2018 to 2023.tif by Mingsheng Zhao (9282536)

“…Samples with cycle threshold (CT) values below 30 were selected for influenza virus capture and whole-genome sequencing. …”

Image 2_Genetic evolution and molecular characteristics of avian influenza viruses in Jining from 2018 to 2023.tif by Mingsheng Zhao (9282536)

“…Samples with cycle threshold (CT) values below 30 were selected for influenza virus capture and whole-genome sequencing. …”

Table 1_Explainable machine learning model for predicting the outcome of acute ischemic stroke after intravenous thrombolysis.docx by Fanhai Bu (22315168)

“…SHAP analysis ranked NLR as the strongest predictor (followed by NIHSS/ASPECTS), with higher values increasing risk. Learning curves indicated no overfitting. …”

S4 File. Stata data set - by Amanuel Yoseph (8962478)

“…Overall, 64.3% of women in the intervention group and 38.9% of mothers in the control group practiced BPCR (P-value < 0.001). HEI significantly increased overall knowledge of ODS (adjusted risk ratio [ARR]: 1.71; 99% CI: 1.14–2.57) and improved overall BPCR practice (ARR: 1.55; 99% CI: 1.02–2.39).…”