Demographics of the enrolled patients. by Yuka Kasai (21354922)

“…The success rate in the seated position without the eye drop aid was 71.6%, and this rate decreased with increasing age; with the eye drop aid, the success rate improved significantly to 97.8%. …”

Overhead view of the eye drop aid. by Yuka Kasai (21354922)

“…The success rate in the seated position without the eye drop aid was 71.6%, and this rate decreased with increasing age; with the eye drop aid, the success rate improved significantly to 97.8%. …”

Supplementary data: Flowchart of the study. by Suphanida Kaewkamchai (19762172)

“…<i>albicans</i> in the SDF groups were significantly lower than the control group (<i>p</i><0.001). …”

Model test results. by Zijie Li (776536)

Comparison of simulation results. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Estimating the transportation cost matrix from microstate joint probability of consecutive timesteps at rest. by Giacomo Barzon (19832364)

CVB3 replication is not influenced in the cells with TRIM56 knockdown. by Yao Wang (102387)

Brain transition cost correlates with task demand and performance. by Giacomo Barzon (19832364)

Role of MIB2 in tumor cell growth <i>in vitro.</i> by Rui Li (4631)

Results of MC simulations of VO and agonist infusion. by Johane H. Bracamonte (12883844)

Role of MIB2 and CAMK2 in FAT1-depndent regulation of YAP/TAZ protein levels and YAP/TAZ nuclear localization. by Rui Li (4631)

Regulation of YAP/TAZ through MIB2 in HNSCCs. by Rui Li (4631)

Model performance evaluation results. by Ke Yan (331581)

“…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”

E3 ligase TRIM56 is up-regulated in response to CVB3 infection. by Yao Wang (102387)

Evaluation results of eye detection approaches. by Verdzekov Emile Tatinyuy (19959261)

Role of YAP/TAZ in FAT1-regulated HNSCC growth. by Rui Li (4631)

FAT1 and MIB2 control tumor growth <i>in vivo.</i> by Rui Li (4631)

TRIM56 promotes the ubiquitination and proteasomal degradation of CVB3 3D. by Yao Wang (102387)

FAT1 interacts with the E3 ligase MIB2. by Rui Li (4631)

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…In summary, exploration of multiple data balancing techniques is recommended for classifying imbalanced data sets to achieve optimal performance as neither of the external techniques nor the internal techniques outperform others significantly. The results are specific to the ML methods and AutoML libraries used in this study, and for generalization, a study can be carried out considering a sizable number of ML methods and AutoML libraries.…”