Comparison of ROCs/AUCs of the HpAfr-ELISA assay at three repeated testing. by Evariste Tshibangu-Kabamba (11414297)

Decreased deaminase activity in A12-infected cells despite a high level of A3B protein. by Noémie Lejeune (9243785)

Supplementary Material for: Real-World Experience with Artificial Intelligence-Based Triage in Transferred Large Vessel Occlusion Stroke Patients by Morey J.R. (10592381)

“…This platform includes an image viewer, a communication system, and an artificial intelligence (AI) algorithm that automatically identifies suspected LVO strokes on CTA imaging and rapidly triggers alerts. …”

ROC curve and AUC for all other models. by Ahood Alazwari (12160802)

“…<div><p>The increasing incidence of type 1 diabetes (T1D) in children is a growing global concern. …”

Radiation can decrease the expression of the SCFAs in colon contents. by Liying Zhang (102453)

The analysis of AUC values of apolipoprotein concentrations of patients with atrial fibrillation (before and 24 h after cryoballoon ablation (CBA) therapy) and control individuals... by Patrycja Bielawiec (20826799)

The analysis of AUC values of sphingolipid concentrations of patients with atrial fibrillation (before and 24 h after cryoballoon ablation (CBA) therapy) and control individuals in... by Patrycja Bielawiec (20826799)

Data Sheet 1_Large language models for closed-library multi-document query, test generation, and evaluation.docx by Claire Randolph (19747105)

“…Knowledge tests need to be generated on new material and existing tests revised, tracking knowledge base updates. Large Language Models (LLMs) provide a framework for artificial intelligence-assisted knowledge acquisition and continued learning. …”

Large play kit. by Calli Naish (17125111)

ROC curves separated by mutations that decrease in volume from mutations that increase in volume. by Christopher Negron (1344885)

“…The tables on the right list the area under the curve (AUC) values along with corresponding 95% confidence interval (CI) for the AUCs.…”

Decreased self-inhibition of genotypes carrying the cooperation-associated allele along a density gradient. by Samuel E. Wuest (14192695)

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

“…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”

Deletion of TAL does not decrease GNG flux. by Julie Kovářová (4114573)

Area Under the Curve (AUC) values from the sensitivity analysis of the risk index for each of the Big Four snake species at the state level from present to projected future climate... by Imon Abedin (22170820)

Area Under the Curve (AUC) values from the sensitivity analysis of the risk index for each of the Big Four snake species at the district level from present to projected future clim... by Imon Abedin (22170820)

Trends in AUC values for different observation windows and prediction windows for (A) Random Forest, (B) Logistic Regression, (C) XGBoost, and (D) Naïve Bayes four machine learning... by Chunliang Jiang (22477803)

Subjects:

Observation of a Large Slip Effect in the Nanoscale Flow of Highly Viscous Supercooled Liquid Metals by Jun-Xiang Xiang (16751412)

“…Here, we report the observation of a large boundary slip in the nanoscale flow of highly viscous supercooled liquid metals (with viscosities of ≲10⁸ Pa s), enabled by the hydrophobic treatment of smooth nanochannels. …”

Observation of a Large Slip Effect in the Nanoscale Flow of Highly Viscous Supercooled Liquid Metals by Jun-Xiang Xiang (16751412)

“…Here, we report the observation of a large boundary slip in the nanoscale flow of highly viscous supercooled liquid metals (with viscosities of ≲10⁸ Pa s), enabled by the hydrophobic treatment of smooth nanochannels. …”

Comparison of the MLTD and MDD scores of text before and after hypernym substitution using the GPT-J-6B, Programmatic+AI, and T5 approaches. by Karl Swanson (3580583)