IreA contributes to ergosterol biosynthesis. by Xizhi Feng (193742)

“…<p>Left: Schematic representation of genes in the ergosterol biosynthetic pathway that show a ≥1.5-fold decrease (green) or increase (red) in Δ<i>hacA</i> (circles) or Δ<i>ireA</i> (squares) relative to wt. …”

Table_1_Genome-wide analysis of HACD family genes and functional characterization of GhHACD2 for very long chain fatty acids biosynthesis in Gossypium hirsutum.xlsx by Minwen Yan (12453087)

“…Furthermore, transgenic overexpression analysis of GhHACD2 caused a 5.02% decrease in oil content compared with the control in yeast, while the levels of C28:0, C30:0, and VLCFAs were significantly improved. …”

Table_2_Genome-wide analysis of HACD family genes and functional characterization of GhHACD2 for very long chain fatty acids biosynthesis in Gossypium hirsutum.xlsx by Minwen Yan (12453087)

“…Furthermore, transgenic overexpression analysis of GhHACD2 caused a 5.02% decrease in oil content compared with the control in yeast, while the levels of C28:0, C30:0, and VLCFAs were significantly improved. …”

Image_1_Genome-wide analysis of HACD family genes and functional characterization of GhHACD2 for very long chain fatty acids biosynthesis in Gossypium hirsutum.tif by Minwen Yan (12453087)

“…Furthermore, transgenic overexpression analysis of GhHACD2 caused a 5.02% decrease in oil content compared with the control in yeast, while the levels of C28:0, C30:0, and VLCFAs were significantly improved. …”

Table_3_Genome-wide analysis of HACD family genes and functional characterization of GhHACD2 for very long chain fatty acids biosynthesis in Gossypium hirsutum.xlsx by Minwen Yan (12453087)

“…Furthermore, transgenic overexpression analysis of GhHACD2 caused a 5.02% decrease in oil content compared with the control in yeast, while the levels of C28:0, C30:0, and VLCFAs were significantly improved. …”

Natural selection diagram. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Improved optimization results. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Gene comparison map before and after mutation. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Recombinant gene map. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

model comparison (Idle/%). by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Comparison chart of use of each node. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Original optimization results. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Selection of crossing point. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Operator parameter setting of improved GA. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Product supply sequence diagram. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Crossed offspring chromosomes. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

GA iteration graph. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

The state of each node after improvement. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

The state of each node before improvement. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Evaluation of MiR-145 lentiviral transfection efficiency. by Yongqin Ye (4432831)

“…(B) qPCR was performed to quantify the expression level of miR-145-5p in each group, showing an increased miR-145-5p in both group 1 and 2 while not significantly decreased miR-145-5p in anti-miR-145 groups, indicating a low basic level of miR-145-5p in LX-2 cells.…”