Evidence of the Giant Barocaloric Effect in the PVA-Slime System by Molecular Dynamics Simulations حسب Richard Javier Caraballo-Vivas (22113727)

"…As a result, this contributes significantly to the change in internal energy and, consequently, to the barocaloric effect. …"

Evidence of the Giant Barocaloric Effect in the PVA-Slime System by Molecular Dynamics Simulations حسب Richard Javier Caraballo-Vivas (22113727)

"…As a result, this contributes significantly to the change in internal energy and, consequently, to the barocaloric effect. …"

Table 1_Prognostic significance of early alpha fetoprotein and des-gamma carboxy prothrombin responses in unresectable hepatocellular carcinoma patients undergoing triple combinati... حسب Teng Zhang (457128)

"…</p>Conclusion<p>AFP or DCP response at 6-8 weeks post-therapy predicts better oncological outcomes in patients with uHCC treated with triple therapy.…"

BMI versus change in soft tissue thickness in hydrated to dehydrated state. حسب Fatemeh Khorami (22041563)

Predicted chronic activation of the cardiomyocyte signaling network during VO. حسب Johane H. Bracamonte (12883844)

Overall model framework. حسب Ke Yan (331581)

"…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. …"

Key parameters of LSTM training model. حسب Ke Yan (331581)

"…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. …"

Comparison chart of model evaluation results. حسب Ke Yan (331581)

"…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. …"

Model performance evaluation results. حسب Ke Yan (331581)

"…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. …"

The result compared with other existing methods. حسب Ke Yan (331581)

"…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. …"

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

Effects of receptor blockers on VO-induced hypertrophy in published experiments and the calibrated model. حسب Johane H. Bracamonte (12883844)

Ingenuity pathway analysis of tonic ISG subclasses. حسب Tyron Chang (9922533)

qPCR of vaccinia virus RNAs <i>IRF1</i> KO cells: glucose with and without IFN-γ priming. حسب Tyron Chang (9922533)

Analysis of host and interferon-induced responses in glucose/galactose infected with vaccinia virus. حسب Tyron Chang (9922533)

Glucose/galactose with extended interferon-priming does not impact levels of ISG RNAs or non-ISG proteins levels. حسب Tyron Chang (9922533)

Time course of IRF1 and IFITM3 RNA and protein expression across conditions. حسب Tyron Chang (9922533)

Vaccinia virus and VSV infections of <i>STAT1</i> and <i>IRF1</i> KO cells grown in glucose/galactose with and without IFN-γ priming. حسب Tyron Chang (9922533)

Vaccinia virus infection (MOI = 3) of A549 cells in media supplemented with glucose/galactose. حسب Tyron Chang (9922533)

Glucose/galactose regulation of IFN-γ induced IRF1 protein is conserved in mammals. حسب Tyron Chang (9922533)