Recombinant gene map. by Yanchun Li (248761)

“…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)

“…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)

“…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)

“…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)

“…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)

“…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)

“…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)

“…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)

“…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)

“…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)

“…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.…”

Image 2_ATG16L1 promotes cell migration and invasion in high glucose–induced retinal capillary endothelial cells.tif by Xinxiao Gao (21717197)

“…The migration ability and invasion rate of RCECs were significantly higher in the HG group than in the NG group but decreased markedly after transfection with ATG16L1 siRNA, compared with those in the control group (p < 0.01).…”

Image 1_ATG16L1 promotes cell migration and invasion in high glucose–induced retinal capillary endothelial cells.tif by Xinxiao Gao (21717197)

“…The migration ability and invasion rate of RCECs were significantly higher in the HG group than in the NG group but decreased markedly after transfection with ATG16L1 siRNA, compared with those in the control group (p < 0.01).…”

Data and code for "Sympathetic vasomotion as an early marker of hemorrhage." by Peter Pellegrino (20875475)

“…The difference in the vasomotion profiles between the innervated and denervated kidneys increased significantly prior to increases in heart rate or decreases in blood pressure. …”

Supplementary Figures_Fainshtein.pdf by Kfir Sharabi (21415808)

“…Furthermore, we show that depleting <i>Hdac1</i> in mouse primary hepatocytes and liver tissue reduces glucose production, consistent with decreased PGC-1α activity. While the HDAC family has been investigated for their contributions to metabolic homeostasis, our findings reveal a specific mechanistic pathway by which HDAC1 modulates glucose homeostasis.…”

Identification of Alzheimer’s disease susceptibility genes by the integration of genomics and transcriptomics by Chenghong OuYang (13521682)

“…Through Mendelian randomization (MR) analysis, it was found that the risk of AD was significantly increased when VASP expression increased (OR = 0.1.046), while the risk of AD was significantly decreased when SURF2 (OR = 0.897) and TARBP1(OR = 0.920) expression increased. …”

Table 1_Impacts of arbuscular mycorrhizal and Trichoderma viride on enhancing physicochemical properties and triggering defense mechanisms of tomato plants challenged with potato v... by Dalia Gamil Aseel (22106561)

“…Interestingly, the dual application significantly suppressed viral symptoms and decreased viral accumulation levels, disease incidence, and disease severity by 88.1%, 40%, and 53.4%, respectively. …”

Mitigation of Senescence Burden in Doxorubicin-Induced Senescent Endothelial Cells by MitoQ Treatment Through Diminishing Mitochondrial ROS and DNA Damage. by Hossein Abdeahad (22177792)

“…DOXO increased mtROS, decreased mitochondrial mass, and induced senescence. …”

Friedman statistic and p-value across iterations. by Marwah Salman (22593380)

“…<div><p>The direct current (DC) in optical orthogonal frequency division multiplexing (DCO-OFDM) scheme is commonly adopted in light fidelity (Li-Fi) technology as it offers a spectrally efficient solution. A prior study adopted a machine learning (ML)-based solution to predict the optimum DC bias using key parameters, including the statistical properties of the OFDM transmitted signal and a polynomial regression model. …”

The effect of DC bias on clipping noise variance. by Marwah Salman (22593380)

“…<div><p>The direct current (DC) in optical orthogonal frequency division multiplexing (DCO-OFDM) scheme is commonly adopted in light fidelity (Li-Fi) technology as it offers a spectrally efficient solution. A prior study adopted a machine learning (ML)-based solution to predict the optimum DC bias using key parameters, including the statistical properties of the OFDM transmitted signal and a polynomial regression model. …”