Showing 67,141 - 67,160 results of 104,728 for search '(( 5 ((a decrease) OR (mean decrease)) ) OR ( a ((nn decrease) OR (fold decrease)) ))', query time: 1.73s Refine Results
  1. 67141

    Effect of charge-associated amino acid mutations on the surface charge of NDV HN protein and viral thermostability. by Yu Shang (49702)

    Published 2022
    “…(C) Molecular surfaces of mutated HN proteins are colored according to electrostatic potentials with a range of red (- 5.0 V) to blue (+ 5.0 V). The names of NDV strains are indicated at the bottom of structures. …”
  2. 67142

    Azocyclotin Binds CDK4 to Disrupt DNA Methylation in Zebrafish Epigenetic Transgenerational Inheritance by Aoxue Wang (275954)

    Published 2025
    “…Using zebrafish ZF4 cells as an <i>in vitro</i> model, we elucidated the mechanism by which ACT modulates DNA methylation. ACT exposure induced a 38.03% decrease in global DNA methylation, as determined by 5-mC quantification. …”
  3. 67143

    Image_1_SIRT6 Inhibitor, OSS_128167 Restricts Hepatitis B Virus Transcription and Replication Through Targeting Transcription Factor Peroxisome Proliferator-Activated Receptors α.t... by Hui Jiang (102809)

    Published 2019
    “…Firstly, we found that OSS_128167 could decrease the level of HBV core deoxyribonucleic acid (DNA) and 3.5-Kb ribonucleic acid (RNA) in vitro. …”
  4. 67144

    Interactions between Silicon Oxide Nanoparticles (SONPs) and U(VI) Contaminations: Effects of pH, Temperature and Natural Organic Matters by Hanyu Wu (694635)

    Published 2016
    “…However, an irreversible interaction of U(VI) was observed in the presence of HA (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0149632#pone.0149632.g001" target="_blank">Fig 1</a>). …”
  5. 67145

    Image_4_Revealing the transitory and local effect of zebularine on development and on proteome dynamics of Salix purpurea.jpeg by Andrea Pagano (7845914)

    Published 2024
    “…</p>Results and discussion<p>After 3 weeks of recovery from zebularine treatment, a decrease of 5-mC levels was observed in different genomic contexts in the roots of explants that were exposed to zebularine, whereas a functionally heterogeneous subset of protein entries was differentially accumulated in stem samples, including entries related to cell wall biosynthesis, tissue morphogenesis, and hormonal regulation. …”
  6. 67146

    Effect of different concentrations of dietary safflower seed on milk yield and some rumen and blood parameters at the end stage of lactation in dairy cows by Mustafa Numan Oguz (12800989)

    Published 2022
    “…Cows were fed 8 kg concentrate, 2 kg wheat straw, and corn silage ad libitum(approximately 20 kg). Diet S-III caused a decrease in efficiency of milk production and diet S-II provided a much further efficiency in milk production (C = 13.39±0.23, S-I = 12.94±0.26, S-II = 13.46±0.24 and S-III = 11.83±0.52 kg). …”
  7. 67147

    Image_6_Revealing the transitory and local effect of zebularine on development and on proteome dynamics of Salix purpurea.png by Andrea Pagano (7845914)

    Published 2024
    “…</p>Results and discussion<p>After 3 weeks of recovery from zebularine treatment, a decrease of 5-mC levels was observed in different genomic contexts in the roots of explants that were exposed to zebularine, whereas a functionally heterogeneous subset of protein entries was differentially accumulated in stem samples, including entries related to cell wall biosynthesis, tissue morphogenesis, and hormonal regulation. …”
  8. 67148

    Table_2_Differential effects on TDP-43, piezo-2, tight-junction proteins in various brain regions following repetitive low-intensity blast overpressure.DOCX by Lanier Heyburn (7055039)

    Published 2023
    “…</p>Methods<p>In this study, using a rodent model of relBOP and western blotting for protein expression we showed the differential expression of various neuropathological proteins like TDP-43, tight junction proteins (claudin-5, occludin, and glial fibrillary acidic protein (GFAP)) and a mechanosensitive protein (piezo-2) in different regions of the brain at different intensities and frequency of blast.…”
  9. 67149

    Overall model framework. by Ke Yan (331581)

    Published 2024
    “…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. …”
  10. 67150

    Table_3_Differential effects on TDP-43, piezo-2, tight-junction proteins in various brain regions following repetitive low-intensity blast overpressure.DOCX by Lanier Heyburn (7055039)

    Published 2023
    “…</p>Methods<p>In this study, using a rodent model of relBOP and western blotting for protein expression we showed the differential expression of various neuropathological proteins like TDP-43, tight junction proteins (claudin-5, occludin, and glial fibrillary acidic protein (GFAP)) and a mechanosensitive protein (piezo-2) in different regions of the brain at different intensities and frequency of blast.…”
  11. 67151

    Presentation4_Estimation of the P Fertilizer Demand of China Using the LePA Model.PPTX by Wenjia Yu (9422059)

    Published 2021
    “…We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 1–1.5 kg ha<sup>−1</sup> year<sup>−1</sup> in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha<sup>−1</sup> year<sup>−1</sup> after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”
  12. 67152

    Presentation3_Estimation of the P Fertilizer Demand of China Using the LePA Model.PPTX by Wenjia Yu (9422059)

    Published 2021
    “…We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 1–1.5 kg ha<sup>−1</sup> year<sup>−1</sup> in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha<sup>−1</sup> year<sup>−1</sup> after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”
  13. 67153

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

    Published 2024
    “…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. …”
  14. 67154

    DataSheet1_Estimation of the P Fertilizer Demand of China Using the LePA Model.xlsx by Wenjia Yu (9422059)

    Published 2021
    “…We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 1–1.5 kg ha<sup>−1</sup> year<sup>−1</sup> in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha<sup>−1</sup> year<sup>−1</sup> after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”
  15. 67155

    Pdi1 is essential for fungal growth within the maize plant. by Miriam Marín-Menguiano (180236)

    Published 2019
    “…<i>maydis</i> hyphae with WGA-AF-488 (green), and visualized by fluorescence microscopy, showing a decrease in the growth and branching capability of the <i>pdi1</i> mutant. …”
  16. 67156

    Presentation2_Estimation of the P Fertilizer Demand of China Using the LePA Model.PPTX by Wenjia Yu (9422059)

    Published 2021
    “…We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 1–1.5 kg ha<sup>−1</sup> year<sup>−1</sup> in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha<sup>−1</sup> year<sup>−1</sup> after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”
  17. 67157

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

    Published 2024
    “…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. …”
  18. 67158

    DataSheet1_The IRE1α Inhibitor KIRA6 Blocks Leukotriene Biosynthesis in Human Phagocytes.docx by Xiao Tang (801264)

    Published 2022
    “…However, we find that KIRA6 dose-dependently blocks phosphorylation of p38 and ERK, mitogen-activated protein kinases (MAPKs) that have established roles in activating cytosolic PLA<sub>2</sub>α (cPLA<sub>2</sub>α) and 5-LOX. The reduction of p38 and ERK phosphorylation is associated with a decrease in cPLA<sub>2</sub>α phosphorylation and attenuated leukotriene production. …”
  19. 67159

    Table_1_Differential effects on TDP-43, piezo-2, tight-junction proteins in various brain regions following repetitive low-intensity blast overpressure.XLSX by Lanier Heyburn (7055039)

    Published 2023
    “…</p>Methods<p>In this study, using a rodent model of relBOP and western blotting for protein expression we showed the differential expression of various neuropathological proteins like TDP-43, tight junction proteins (claudin-5, occludin, and glial fibrillary acidic protein (GFAP)) and a mechanosensitive protein (piezo-2) in different regions of the brain at different intensities and frequency of blast.…”
  20. 67160

    Model performance evaluation results. by Ke Yan (331581)

    Published 2024
    “…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. …”