Cement retention force values(N) for each group in the cement retention strength test. by Long Li (6555)

Image 3_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.jpeg by Hongjing Guan (172193)

“…To enhance the effectiveness of differential diagnosis, we employed logistic regression analysis to screen variables and developed a predictive model MODEL1. The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Image 2_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.jpeg by Hongjing Guan (172193)

“…To enhance the effectiveness of differential diagnosis, we employed logistic regression analysis to screen variables and developed a predictive model MODEL1. The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Table 3_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.docx by Hongjing Guan (172193)

“…To enhance the effectiveness of differential diagnosis, we employed logistic regression analysis to screen variables and developed a predictive model MODEL1. The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Table 2_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.docx by Hongjing Guan (172193)

“…To enhance the effectiveness of differential diagnosis, we employed logistic regression analysis to screen variables and developed a predictive model MODEL1. The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Relative abundance (%) of the major endophytic bacterial phyla/classes identified in the leaves (A) and roots (B) of 29 accessions of <i>Synsepalum dulcificum</i> sampled in Benin. by Rabiath F. R. Adigoun (14189090)

Visual depiction of the relative abundance of the dominant endophytic bacterial taxa from the leaves (A) and roots (B) of <i>Synsepalum dulcificum</i> through Sankey diagrams. by Rabiath F. R. Adigoun (14189090)

Diagnostic value of the 8 hub genes in the GSE52093 dataset. by Wei He (131453)

Top 20 Ingenuity Pathway Analysis (IPA) pathways of 3382 genes upregulated following KA treatment with a <i>P</i>-value of < 0.05. by Naoto Arimura (416442)

Shell colour luminance variation of six phenotypic groups according to background colour and spiral band categories of <i>Polymita muscarum</i>. by Mario Juan Gordillo-Pérez (20565248)

Subjects:

Linear discriminant analysis (LDA) for effect size (LEfSe) analysis of endophytic bacterial communities associated with <i>Synsepalum dulcificum</i> among the three phenotypic grou... by Rabiath F. R. Adigoun (14189090)

Multiple alignments of C-terminal amino acid sequences contained conserved amidase domains in zebrafish (<i>Danio rerio</i>, <i>Dr</i>), ricefish (<i>Oryzias latipes</i>, <i>Ol</i>... by Xi Li (19208)

DDX5 and DDX17 decrease viral gene expression during KSHV lytic reactivation in iSLK.219 cells. by Praneet Kaur Sandhu (21156149)

Line graph showing the values of inflammatory cytokines at baseline and after treatment. by Káryta Suely Macêdo Martins (22404155)

Submandibular gland removal decreases avoidance of bitter taste in mice by Masataka Narukawa (20599511)

Predicted parameter values and resting-state variable values. The parameters are the upper tip-link insertion distances for row 1 and row 2 (<i>b</i>₁ and <i>b</i><sub>2... by Rayan Chatterjee (21416840)

Summary of Kruskal-Wallis tests and pairwise comparisons for δ¹³C and δ¹⁵N values. by Sarah J. Noe (19846136)

RNA-seq shows non-additive decrease in transcript level of lipid metabolism genes in <i>Δmga2 Δcbf11</i> cells. by Anna Marešová (14375187)

Comparison between actual and predicted values. by Xueyong Pan (20390363)

Log2 fold change (FC), mean and standard deviation (SD) of each lipid specie from the normal liver (NL) and simple steatosis (SS) groups, and adjusted p-values. by Laia Bertran (3685147)