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a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
point decrease » point increase (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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31701
Data_Sheet_1_LXR Activation Induces a Proinflammatory Trained Innate Immunity-Phenotype in Human Monocytes.PDF
Published 2020“…This inflammatory activation by LXR agonists was accompanied by characteristic features of trained innate immunity, such as activating histone marks on inflammatory gene promoters and metabolic reprogramming with increased lactate production and decreased oxygen consumption rate. Mechanistically, LXR priming increased cellular acetyl-CoA levels and was dependent on the activation of the mevalonate pathway and IL-1β signaling. …”
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31702
Amphiphilic Photoluminescent Porous Silicon Nanoparticles as Effective Agents for Ultrasound-Amplified Cancer Therapy
Published 2024“…Efficient internalization of αϕ-pSiNPs in cell cytoplasm was demonstrated by their intrinsic photoluminescence, activated by partial oxidation of mesoporous silicon films in borate solutions, which resulted in quantum confinement of excitons in 2–5 nm Si quantum dots/wires. Combined with US exposure above the cavitation threshold, αϕ-pSiNPs caused a significant decrease in cell viability through mechanical stretching and microflows generated by oscillating microbubbles. …”
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31703
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31704
S1 File -
Published 2024“…There is a nonlinear relationship between the two parameters and the amount of springback. …”
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31705
L profile’s roll bending simulation model.
Published 2024“…There is a nonlinear relationship between the two parameters and the amount of springback. …”
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31706
7075 aluminum alloy sample size.
Published 2024“…There is a nonlinear relationship between the two parameters and the amount of springback. …”
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31707
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31708
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31709
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31710
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31711
Table_7_Comprehensive proteome, phosphoproteome and kinome characterization of luminal A breast cancer.xlsx
Published 2023“…</p>Results<p>In the luminal A breast cancer, a total of 5,044 high-confidence proteins and 3,808 phosphoproteins were identified from 10 paired tissues. …”
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31712
Table_4_Comprehensive proteome, phosphoproteome and kinome characterization of luminal A breast cancer.xlsx
Published 2023“…</p>Results<p>In the luminal A breast cancer, a total of 5,044 high-confidence proteins and 3,808 phosphoproteins were identified from 10 paired tissues. …”
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31713
DataSheet_1_Comprehensive proteome, phosphoproteome and kinome characterization of luminal A breast cancer.docx
Published 2023“…</p>Results<p>In the luminal A breast cancer, a total of 5,044 high-confidence proteins and 3,808 phosphoproteins were identified from 10 paired tissues. …”
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31714
Table_6_Comprehensive proteome, phosphoproteome and kinome characterization of luminal A breast cancer.xlsx
Published 2023“…</p>Results<p>In the luminal A breast cancer, a total of 5,044 high-confidence proteins and 3,808 phosphoproteins were identified from 10 paired tissues. …”
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31715
Table_2_Comprehensive proteome, phosphoproteome and kinome characterization of luminal A breast cancer.xlsx
Published 2023“…</p>Results<p>In the luminal A breast cancer, a total of 5,044 high-confidence proteins and 3,808 phosphoproteins were identified from 10 paired tissues. …”
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31716
Table_3_Comprehensive proteome, phosphoproteome and kinome characterization of luminal A breast cancer.xlsx
Published 2023“…</p>Results<p>In the luminal A breast cancer, a total of 5,044 high-confidence proteins and 3,808 phosphoproteins were identified from 10 paired tissues. …”
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31717
Table_1_Comprehensive proteome, phosphoproteome and kinome characterization of luminal A breast cancer.xlsx
Published 2023“…</p>Results<p>In the luminal A breast cancer, a total of 5,044 high-confidence proteins and 3,808 phosphoproteins were identified from 10 paired tissues. …”
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31718
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31719
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31720
Training set data expansion.
Published 2024“…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”