Five multi-target tracking evaluation indexes. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

Data sources and descriptions. by Zeduo Zou (21672789)

“…As the results show, during the study period: (1) Temporal Trends: annual PM2.5 concentrations exhibited significant declines, with BTH decreasing from 1004.71 μg/m³ (2006) to 528 μg/m³ (2020), YRD from 1434.81 μg/m³ (2008) to 621 μg/m³, and PRD from 405.02 μg/m³ (2007) to 292 μg/m³. …”

Table 1_Genetic diversity and antibiotic resistance of Mycobacterium bovis in bovines in the Delta area of Egypt.docx by Mohamed Sabry A. Elsayed (22235200)

“…Introduction<p>Mycobacterium bovis (M. bovis) causes significant financial harm to the cattle industry through decreased productivity and trade limitations, while also posing a risk to human health through zoonotic transmission, which is primarily from unpasteurized milk or close animal contact.…”

Partial tracking results of MOT17 dataset. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

Improved detection layer. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

The performance of S-YOFEO model on MOT16. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

The matching process of EIOU. by Wenshun Sheng (21485393)

“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”

The role of SLMO in the PSS/PISD pathway. by Siwen Zhao (543384)

“…Mitochondria size was quantified and significant differences were determined using the unpaired <i>t</i> test.…”

a. How various statistical models account for modulation classification performance across the entire dataset. by Chris Scholes (3309477)

“…Vertical lines show the peak-to-trough heights extracted for each significant peak, in order of decreasing value; <b>e.…”

Robust chain-length specific elevations in some intermediate chain and long chain PE phospholipids in peroxisomal mutant brain. by Michael F. Wangler (21526595)

“…For PE 34:4 in <i>pex16</i>^<i>1</i> and <i>pex16</i>^<i>EY</i> brain, levels are increased compared to controls (ratio 1.366, 1.136 respectively, p<0.001, p=0.048 respectively) but no differences from rescue. <b>C.</b> Levels in mol% of PE 34:3 in <i>pex2</i> and <i>pex16</i> mutant brains show significant increases in <i>pex</i> mutant brains. …”

Extraction time and mustard concentration for extraction of aquatic oligochaetes by using wet funnel by Satoshi Kaneda (571209)

“…Statistical calculations were performed in R version 4.2.2 (R Development Core Team, 2022), and the significance of the explanatory variable was assessed with F-tests using package car. …”