Showing 19,621 - 19,640 results of 36,050 for search '(( significant decrease decrease ) OR ( significant ((levels increased) OR (greatest decrease)) ))', query time: 0.72s Refine Results
  1. 19621

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

    Published 2024
    “…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. …”
  2. 19622

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

    Published 2024
    “…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. …”
  3. 19623

    Model performance evaluation results. by Ke Yan (331581)

    Published 2024
    “…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. …”
  4. 19624

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

    Published 2024
    “…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. …”
  5. 19625
  6. 19626

    Hybrid Molecules of Benzothiazole and Hydroxamic Acid as Dual-Acting Biofilm Inhibitors with Antibacterial Synergistic Effect against Pseudomonas aeruginosa Infections by Zhen-Meng Zhang (20874497)

    Published 2025
    “…Moreover, <b>JH21</b> significantly enhanced the efficacy of tobramycin and ciprofloxacin by 200- and 1000-fold, respectively, in a mouse wound infection model. …”
  7. 19627

    Upregulated proteins in TAU Pro-Val. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  8. 19628

    Downregulated proteins in TAU Pro-Leu. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  9. 19629

    Downregulated proteins in TAU Pro x TAU 3AAG. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  10. 19630

    Upregulated proteins in TAU Pro-Leu. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  11. 19631

    Upregulated proteins in TAU Pro x TAU 3AAG. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  12. 19632

    Downregulated proteins in TAU Pro-Ile. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  13. 19633

    Fuzzy c-mean clustering. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  14. 19634

    Cluster 7—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  15. 19635

    Cluster 4—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  16. 19636

    Cluster 2—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  17. 19637

    Venn diagram—Down-regulated proteins. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  18. 19638

    Venn diagram—Up-regulated proteins. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  19. 19639

    Cluster 3—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
  20. 19640

    Cluster 5—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”