Data_Sheet_1_Adherence of Lactobacillus salivarius to HeLa Cells Promotes Changes in the Expression of the Genes Involved in Biosynthesis of Their Ligands.PDF by Carla Martín (8270910)

“…Upon the interaction of the vaginal isolate Lactobacillus salivarius Lv72 and HeLa cell cultures, the expression of oppA increased more than 50-fold over the following 30 min, with the overexpression enduring, albeit at a lower rate, for up to 24 h. …”

Histogram representative of the flow cytometric analysis of the labeling of T-Bet, GATA3 and FoxP3 transcription factors. by Sidnei Ferro Costa (8115260)

CRVE change with 12 months of RFM/CPAP treatment. by Kristina Kairaitis (10535437)

The primary evaluation and characterization of obsolete DDT pesticide from a precalciner of a cement kiln by Yang Li (7082)

“…In order to evaluate the feasibility of co-processing DDT in the current new style dry-process rotary kiln with a precalciner as the feeding point, the destruction efficiency (DE) of DDTs (including <i>p,p</i>^′-DDT, <i>o,p</i>^′-DDT, <i>p,p</i>^′-DDE and <i>p,p</i>^′-DDD), proportion of DDTs in the combustion residue and exhaust gas, and the release of chlorine were studied under different operating conditions of temperature, oxygen content and gas retention time in the laboratory. …”

DataSheet_1_Major Neutrophil-Derived Soluble Mediators Associate With Baseline Lung Pathology and Post-Treatment Recovery in Tuberculosis Patients.pdf by Caleb Nwongbouwoh Muefong (11746673)

“…Six months of TB therapy significantly decreased levels of major neutrophil-derived pro-inflammatory mediators: MMP1 (p = 4.90E−12 and p = 2.20E−07), MMP8 (p = 3.40E−14 and p = 1.30E−05) and MMP9 (p = 1.60E−04 and p = 1.50E−03) in plasma and sputum, respectively. …”

DataSheet_1_Major Neutrophil-Derived Soluble Mediators Associate With Baseline Lung Pathology and Post-Treatment Recovery in Tuberculosis Patients.pdf by Caleb Nwongbouwoh Muefong (11746673)

“…Six months of TB therapy significantly decreased levels of major neutrophil-derived pro-inflammatory mediators: MMP1 (p = 4.90E−12 and p = 2.20E−07), MMP8 (p = 3.40E−14 and p = 1.30E−05) and MMP9 (p = 1.60E−04 and p = 1.50E−03) in plasma and sputum, respectively. …”

Table_1_Major Neutrophil-Derived Soluble Mediators Associate With Baseline Lung Pathology and Post-Treatment Recovery in Tuberculosis Patients.xlsx by Caleb Nwongbouwoh Muefong (11746673)

“…Six months of TB therapy significantly decreased levels of major neutrophil-derived pro-inflammatory mediators: MMP1 (p = 4.90E−12 and p = 2.20E−07), MMP8 (p = 3.40E−14 and p = 1.30E−05) and MMP9 (p = 1.60E−04 and p = 1.50E−03) in plasma and sputum, respectively. …”

Table_1_Major Neutrophil-Derived Soluble Mediators Associate With Baseline Lung Pathology and Post-Treatment Recovery in Tuberculosis Patients.xlsx by Caleb Nwongbouwoh Muefong (11746673)

“…Six months of TB therapy significantly decreased levels of major neutrophil-derived pro-inflammatory mediators: MMP1 (p = 4.90E−12 and p = 2.20E−07), MMP8 (p = 3.40E−14 and p = 1.30E−05) and MMP9 (p = 1.60E−04 and p = 1.50E−03) in plasma and sputum, respectively. …”

Supplementary Material for: Development of a root caries prediction model in a population of dental attenders by Fee P.A. (13545517)

Is prehospital endobronchial intubation a risk factor for subsequent ventilator associated pneumonia? A retrospective analysis by Ana Catalina Hernandez Padilla (6730013)

Discovery of <i>N</i>‑(1,3,4-Thiadiazol-2-yl)amide Derivatives as Uncompetitive Inhibitors of 6‑Phosphogluconate Dehydrogenase by Rong Zhang (44942)

“…Moreover, <b>19n</b> treatment could result in a decrease of NADPH and Ru-5-P production as well as DNA synthesis in A549 cells. …”

Temperature-dependence of A) the ratio of rate constants k1/k2. The presence of the DII loop made the first rate constant ratio less affected by temperature changes, as seen for <i... by Roberto F. Delgadillo (843498)

GEO database download data (GSE75595) analysis and identification of gastric cancer cell line super-enhancer and prediction of target genes. by Hong Du (117108)

FLIM FRET efficiency of: (A) αA-crystallin (B) WT αB-crystallin, their deamidated and domain mutants. by Ekta Tiwary (836674)

Data file. by Maryam Khalaji (21743611)

“…The results showed that mental fatigue significantly decreased QE duration (Mean difference = −138.75 ms, p = .0009) and fixation duration (Mean difference = 67.50 ms, p = .001), indicating a detrimental effect on sustained attention. …”

Dataset visualization diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Dataset sample images. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Performance comparison of different models. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

C2f and BC2f module structure diagrams. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

YOLOv8n detection results diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”