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.…”

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

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)

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)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

(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)

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

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). …”

K1 expression decreases in HA15 treated cells. by Guillermo Najarro (19964572)