Heatmap. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Figure 2. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

KEGG Enrichment Analysis. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Figure 1. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Gene Name to ID Conversion. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Bar Chart. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Filter Samples with p < 0.05. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

KEGG Diagram. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Grouping and Sorting. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Violin Plot. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

XCell Algorithm for Immune Cell Matrix. by Guolian Wu (21464168)

“…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”

Physics-Assisted Machine Learning for the Simulation of the Slurry Drying in the Manufacturing Process of Battery Electrodes: A Hybrid Time-Dependent VGG16-DEM Model by Diego E. Galvez-Aranda (9436672)

“…Furthermore, the integration of DL significantly reduced the computational cost versus the original DEM model simulation, decreasing the calculation time from 615 to 36 min for the whole slurry drying simulation process. …”

Effect of DM, and/or <i>M. charantia</i> on the (I) glucose; (II) HOMA IR, (III) QUICKI levels; (IV) GLUT4; (V) AMPK; (VI) insulin; (VII) leptin levels in the control and different... by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the neurotransmitters levels, acetylcholine (I) and dopamine (II). by Amoura M. Abou-El-Naga (21001524)

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Effect of DM, and/or <i>M. charantia</i> on the (I) number of corpuses lutea; (II) number of neonates, (III) weight of neonates; (IV) length of neonates levels in the control and d... by Amoura M. Abou-El-Naga (21001524)