Response distributions for the questions that represent the latent variable ‘cautious sexual attitudes’. by Abigail A. Lee (19935335)

Fit statistics for CFA analysis of the latent variable “intent to vaccinate against HPV”. by Abigail A. Lee (19935335)

Posterior distribution of the effect of the latent variable on the probability of seeking traditional remedies after a potential dog bite indicates a decreased likelihood of individuals seeking traditional remedies. by Philip P. Mshelbwala (11278898)

“…<p>Posterior distribution of the effect of the latent variable on the probability of seeking traditional remedies after a potential dog bite indicates a decreased likelihood of individuals seeking traditional remedies.…”

FinnBrain study: Language development profiles (Saloranta et al., 2025) by Essi Saloranta (21627760)

“…Latent profiles of early language development in a large Finnish-speaking sample of the FinnBrain Birth Cohort Study. …”

Data Sheet 1_Aging of visual word perception is related to decreased segregation within and beyond the word network in the brain.docx by Licheng Xue (6683348)

“…Introduction<p>We investigated the neural correlates of cognitive decline in visual word perception from the perspective of intrinsic brain networks.…”

Probabilities of endorsing depressive symptoms derived from baseline 4-class latent class analysis (N = 619). by Carolin Oetzmann (11397968)

<i>Toxoplasma gondii</i> chronic infection decreases visceral nociceptive responses in the absence of macroscopic colonic inflammation. by Alexis Audibert (21213531)

Decreased visceral nociceptive responses induced by <i>Toxoplasma gondii</i> chronic infection relies on peripheral opioid signaling. by Alexis Audibert (21213531)

(A and B) ChIP-qPCR analysis of HSF2 binding to the indicated KSHV genomic regions expressed as % of input in KSHV infected latent (A) and lytic (B) cells. by Lorenza Cutrone (21144285)

summary of the confidence intervals. by Yohannis Derbew Molla (16471771)

“…<div><p>Introduction</p><p>Traumatic brain injury (TBI) is a major cause morbidity and mortality globally. …”

PRISMA flowchart of the study selection process. by Yohannis Derbew Molla (16471771)

“…<div><p>Introduction</p><p>Traumatic brain injury (TBI) is a major cause morbidity and mortality globally. …”

Reproducibility of response time and brain measures. by Jan Willem Koten (17743224)

Participant retention flowchart. by Carolin Oetzmann (11397968)

“…We identified a 4-class solution: (1) severe with appetite decrease, (2) severe with appetite increase, (3) moderate severity and (4) low severity. …”

Model fit and class prevalence for baseline LCA models with varying numbers of classes and residual associations (N = 619). by Carolin Oetzmann (11397968)

Adjusted multinomial logistic regression models of class membership at baseline in relation to participant characteristics (N = 432). by Carolin Oetzmann (11397968)

Transition probabilities and class sizes for three-step LTA model (N = 432). by Carolin Oetzmann (11397968)

Including: S1 Data–S75 Data. by Eliana Nicolaisen-Sobesky (22662692)

“…First, we identified latent dimensions linking a broad set of risk factors for non-communicable diseases to parcel-wise CT and GMV across the whole cortex. …”

(A) Confocal representative images and (B) quantification of the H3me3K4 integrated intensity in n > 100 cells in iSLK.219 either latent or induced to the lytic cycle with doxycycl... by Lorenza Cutrone (21144285)

Data Sheet 1_Acute-phase proteins as biomarkers of inflammation in HIV patients with latent tuberculosis: a prospective study.pdf by Nathella Pavan Kumar (8911094)

“…</p>Results<p>Plasma levels of alpha-2-macroglobulin (A2M), C-reactive protein (CRP), serum amyloid P (SAP), haptoglobin, ferritin, soluble transferrin receptor (sTFR), apotransferrin, hepcidin, and S100A8/A9 were assessed using multiplex and quantikine assays.At baseline, levels of A2M, CRP, SAP, ferritin, hepcidin, and S100A9 were significantly elevated in HIV-positive patients with LTBI compared to those without LTBI (A2M, p=0.005; CRP, p<0.001; SAP, p=0.0006; ferritin, p<0.001; hepcidin, p=0.001; S100A9, p=0.001). …”

Summary of the framework for the computation of the brain transition cost from EEG data. by Giacomo Barzon (19832364)