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. …”

H2AK119ub is neurodevelopmentally enriched within H3K9ac-positive euchromatin. by Aditya Parmar (22331873)

H2AK119ub is bidirectionally dynamic within cis-regulatory elements during neurodevelopment. by Aditya Parmar (22331873)

Neurodevelopmental deposition of H2AK119ub within acetylated euchromatin. by Aditya Parmar (22331873)

H2AK119ub is depleted from facultative heterochromatin as the cerebellum matures. by Aditya Parmar (22331873)

Statistical data. by Bo Yang (104813)

“…The results show that: (1) Habitat quality shows significant gradient characteristics, and the overall decreases from southeast to northwest. …”

Sensitivity of land types to threat factors. by Bo Yang (104813)

“…The results show that: (1) Habitat quality shows significant gradient characteristics, and the overall decreases from southeast to northwest. …”

Minimal test data set by Wenshun Sheng (21485393)

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

OSNet network structure. by Wenshun Sheng (21485393)

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

YOLOv8 overall framework. by Wenshun Sheng (21485393)

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

The performance of YOFGD model on MOT16. by Wenshun Sheng (21485393)

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

Network structure of OSA. by Wenshun Sheng (21485393)

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

The performance of S-YOFEO model on MOT17. by Wenshun Sheng (21485393)

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

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

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

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

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

Improved detection layer. by Wenshun Sheng (21485393)

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

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

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

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

“…According to the trial results, S-YOFEO has made some developments as its precision can reach 78.2% and its speed can reach 56.0 frames per second (FPS), which fully meets the demand for efficient and accurate tracking in actual complex traffic environments. Through this significant increase in performance, S-YOFEO can contribute to the development of more reliable and efficient tracking systems, which will have a profound impact on a wide range of industries and promote intelligent transformation and upgrading.…”

Supplementary Material for: Collagen I Derived Extracellular Matrix Motifs Alter Fibroblast Regenerative Response by figshare admin karger (2628495)

“…Soluble free mECMs induced changes in fibroblast phenotype as indicated by a decrease in proliferation, decrease in nuclei area, and increase in percentage of elongated cells. …”