A random forest model demonstrates the patient factors that were relatively different in 2022 compared to other years, identifying the factors that likely contributed to the increa... by Emily Lehan (19469130)

“…<p>(A) Mean receiver-operator characteristic curve area-under-the-curve for testing set performance of five tuned machine learning models to assist understanding the complex interplay of patient factors that were altered in 2022 compared to other years. …”

Image_5_Inflammatory stimuli alter bone marrow composition and compromise bone health in the malnourished host.tif by E. Yaneth Osorio (9226059)

Image_3_A Novel Chloroplast Protein RNA Processing 8 Is Required for the Expression of Chloroplast Genes and Chloroplast Development in Arabidopsis thaliana.TIF by Mengmeng Kong (11815760)

“…The abundance of the chloroplast rRNA, including 23S, 16S, 4.5S, and 5S rRNA, were reduced in the rp8 mutant, respectively, and the amounts of chloroplast ribosome proteins, such as, PRPS1(uS1c), PRPS5(uS5c), PRPL2 (uL2c), and PRPL4 (uL4c), were substantially decreased in the rp8 mutant, which indicated that knockout of RP8 seriously affected chloroplast translational machinery. …”

Image_1_A Novel Chloroplast Protein RNA Processing 8 Is Required for the Expression of Chloroplast Genes and Chloroplast Development in Arabidopsis thaliana.TIF by Mengmeng Kong (11815760)

“…The abundance of the chloroplast rRNA, including 23S, 16S, 4.5S, and 5S rRNA, were reduced in the rp8 mutant, respectively, and the amounts of chloroplast ribosome proteins, such as, PRPS1(uS1c), PRPS5(uS5c), PRPL2 (uL2c), and PRPL4 (uL4c), were substantially decreased in the rp8 mutant, which indicated that knockout of RP8 seriously affected chloroplast translational machinery. …”

Image_4_A Novel Chloroplast Protein RNA Processing 8 Is Required for the Expression of Chloroplast Genes and Chloroplast Development in Arabidopsis thaliana.TIF by Mengmeng Kong (11815760)

“…The abundance of the chloroplast rRNA, including 23S, 16S, 4.5S, and 5S rRNA, were reduced in the rp8 mutant, respectively, and the amounts of chloroplast ribosome proteins, such as, PRPS1(uS1c), PRPS5(uS5c), PRPL2 (uL2c), and PRPL4 (uL4c), were substantially decreased in the rp8 mutant, which indicated that knockout of RP8 seriously affected chloroplast translational machinery. …”

Table_1_A Novel Chloroplast Protein RNA Processing 8 Is Required for the Expression of Chloroplast Genes and Chloroplast Development in Arabidopsis thaliana.pdf by Mengmeng Kong (11815760)

“…The abundance of the chloroplast rRNA, including 23S, 16S, 4.5S, and 5S rRNA, were reduced in the rp8 mutant, respectively, and the amounts of chloroplast ribosome proteins, such as, PRPS1(uS1c), PRPS5(uS5c), PRPL2 (uL2c), and PRPL4 (uL4c), were substantially decreased in the rp8 mutant, which indicated that knockout of RP8 seriously affected chloroplast translational machinery. …”

Image_2_A Novel Chloroplast Protein RNA Processing 8 Is Required for the Expression of Chloroplast Genes and Chloroplast Development in Arabidopsis thaliana.TIF by Mengmeng Kong (11815760)

“…The abundance of the chloroplast rRNA, including 23S, 16S, 4.5S, and 5S rRNA, were reduced in the rp8 mutant, respectively, and the amounts of chloroplast ribosome proteins, such as, PRPS1(uS1c), PRPS5(uS5c), PRPL2 (uL2c), and PRPL4 (uL4c), were substantially decreased in the rp8 mutant, which indicated that knockout of RP8 seriously affected chloroplast translational machinery. …”

Overexpression in various expression strain and solubility optimization of Rrd1. by Mohd Kashif (769104)

Chemifriction and Superlubricity: Friends or Foes? by Penghua Ying (8555292)

Chemifriction and Superlubricity: Friends or Foes? by Penghua Ying (8555292)

Chemifriction and Superlubricity: Friends or Foes? by Penghua Ying (8555292)

Chemifriction and Superlubricity: Friends or Foes? by Penghua Ying (8555292)

Mitotic defects in <i>cenh3-4</i> mutants. by Claudio Capitao (5933654)

Meiotic progression in the EMS30 line. by Claudio Capitao (5933654)

Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

“…We find that as the binding energies of metal-bound atomic oxygen species increase, especially above ≈530 eV, there is a general decrease in the accuracy of DFT-predicted values. …”

Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

“…We find that as the binding energies of metal-bound atomic oxygen species increase, especially above ≈530 eV, there is a general decrease in the accuracy of DFT-predicted values. …”

S6 Fig - by Antigoni Akrivou (11858940)

S4 Fig - by Antigoni Akrivou (11858940)

S7 Fig - by Antigoni Akrivou (11858940)

S3 Fig - by Antigoni Akrivou (11858940)