Minimum data set used in the article. by Shizhen Xu (4474321)

“…Overall, converting forestland and grassland to cropland significantly reduced soil carbon-sequestration capacity, shifting them from “carbon sinks” to “carbon sources” and increasing carbon emission risks. …”

Concentrations of C, N, and P in time change. by Shizhen Xu (4474321)

“…Overall, converting forestland and grassland to cropland significantly reduced soil carbon-sequestration capacity, shifting them from “carbon sinks” to “carbon sources” and increasing carbon emission risks. …”

mRNA levels of CASP family markers (A-E), BCL2 family markers (F-H) and other apoptosis-related markers (I-M) in limbal stromal cells (LSCs) and in Aniridia-LSCs (AN-LSCs), after t... by Shanhe Liu (5251313)

“…In LSCs, <i>BCL2</i> mRNA level significantly decreased (p = 0.0102) and <i>CDKN1B</i> level significantly increased using 75 µM CoCl₂ treatment. …”

Protein levels of Bcl-2 family markers in limbal stromal cells (LSCs) and in Aniridia-LSCs (AN-LSCs), after treatment with 0 µM, 50 µM and 75 µM Cobalt chloride (CoCl₂),... by Shanhe Liu (5251313)

Swimming endurance training reduces T-wave amplitude and area in <i>Mib1</i>^<i>flox</i><i>;Tnnt2</i>^<i>Cre</i> mice. by Vítor S. Fernandes (21262991)

Baseline characteristics of participants. by Mei Zhou (269746)

“…</p><p>Results</p><p>After DRG implementation, the logarithmic mean of total hospitalization expenditures decreased significantly (3.914 ± 0.837 vs. 3.872 ± 1.004), while rates of unplanned readmissions, unplanned reoperations, postoperative complications, and patient complaints within 30 days increased significantly (3.784% vs 4.214%, 0.083% vs 0.166%, 0.207% vs 0.258%, 3.741% vs 5.133%). …”

The framework diagram of this study. by Mei Zhou (269746)

“…</p><p>Results</p><p>After DRG implementation, the logarithmic mean of total hospitalization expenditures decreased significantly (3.914 ± 0.837 vs. 3.872 ± 1.004), while rates of unplanned readmissions, unplanned reoperations, postoperative complications, and patient complaints within 30 days increased significantly (3.784% vs 4.214%, 0.083% vs 0.166%, 0.207% vs 0.258%, 3.741% vs 5.133%). …”

Box plot of queens and males in the young colony (left) and old colony (right) A-B compares the queens and males distribution in the young and old colonies, respectively. by Moïse Pierre Exélis (21578515)

FSA inhibits MaAKT1 channels through <i>S</i>-glutathionylation. by Jun Zhang (48506)

“…Representative whole-cell current traces and summary of the preventive effect of DTT (5 mM) in the pipette on FSA-induced MaAKT1 inhibition (n = 3). Ns, not significant compared with control group. (<b>C</b>) FSA treatment decreases intracellular GSH level (left), increases GSSG level (middle), and reduces GSH/GSSG ratio (right) (n = 3). …”

Assessment of calcium events, pERK levels, NMDA receptor expression and extracellular zinc levels in <i>slc13a5</i> mutants. by Deepika Dogra (21072023)

“…<i>5a</i>^{<i>−/−</i>}<i>;5b</i>^{<i>−/−</i>} larvae show a significant increase in calcium events compared to WTs. …”

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.…”