Discovery of Novel [1,2,4]Triazolo[1,5‑<i>a</i>]pyrimidine Derivatives as Novel Potent S‑Phase Kinase-Associated Protein 2 (SKP2) Inhibitors for the Treatment of Cancer by Kaizhao Hu (15670612)

“…In addition, compound <b>E35</b> significantly inhibited colony formation and migration, as well as arrested the cell cycle at the S-phase. …”

Discovery of Novel [1,2,4]Triazolo[1,5‑<i>a</i>]pyrimidine Derivatives as Novel Potent S‑Phase Kinase-Associated Protein 2 (SKP2) Inhibitors for the Treatment of Cancer by Kaizhao Hu (15670612)

“…In addition, compound <b>E35</b> significantly inhibited colony formation and migration, as well as arrested the cell cycle at the S-phase. …”

Variables. by Le Zhu (1771669)

Subjects:

Descriptive statistical of variables. by Le Zhu (1771669)

Subjects:

Impact of the NAMR on CSR dimensions (E, S, G). by Le Zhu (1771669)

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Descriptive analysis. by Oejin Shin (20855617)

Subjects:

Orthogonal test results diagram. by Lei Zhu (16642)

“…Finally, sensitivity analysis was performed using range analysis and variance analysis to determine the sensitivity of factors. The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

S1 File - by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for ClinicalBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Student model architecture. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Configuration of the LastBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for DistilBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

ROC curve for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Sample Posts from the ADHD dataset. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Top-level overview for ADHD classification study. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Spatial patterns of nodal module overlap (i.e., nodal entropy) for different network analysis strategies and their relationships with the main results. by Tianyuan Lei (19683861)

The Pearson correlation matrix between pollen viability as well as yield and yield related parameters under LTS. by Lifeng Guo (17320116)

Effects of LTS on G_s. by Lifeng Guo (17320116)

Effects of LTS on T_r. by Lifeng Guo (17320116)