Search alternatives:
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 step » _ step (Expand Search), a step (Expand Search), 2 step (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 step » _ step (Expand Search), a step (Expand Search), 2 step (Expand Search)
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13421
Data_Sheet_1_Determining 5HT7R’s Involvement in Modifying the Antihyperalgesic Effects of Electroacupuncture on Rats With Recurrent Migraine.pdf
Published 2021“…<p>Electroacupuncture (EA) is widely used in clinical practice to relieve migraine pain. 5-HT<sub>7</sub> receptor (5-HT<sub>7</sub>R) has been reported to play an excitatory role in neuronal systems and regulate hyperalgesic pain and neurogenic inflammation. 5-HT<sub>7</sub>R could influence phosphorylation of protein kinase A (PKA)- or extracellular signal-regulated kinase<sub>1</sub><sub>/</sub><sub>2</sub> (ERK<sub>1</sub><sub>/</sub><sub>2</sub>)-mediated signaling pathways, which mediate sensitization of nociceptive neurons via interacting with cyclic adenosine monophosphate (cAMP). …”
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13422
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13423
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13424
Amygdala voxel correlations with ACC whose values <i>decrease</i> as symptoms of post-combat emotional distress increase.
Published 2015“…Threshold for significance was a <i>z</i>-score < -5.39. Coronal slices through the brain at y = 4, 2, 0, -2, -4, -6, and -8 mm showing the amygdala bilaterally. …”
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13425
ACC voxel correlations with amygdala whose values <i>decrease</i> as symptoms of post-combat emotional distress increase.
Published 2015“…Threshold for significance was a <i>z</i>-score < -5.39. Only values within the ACC ROI are shown. …”
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13426
Drill image dataset for training part II.
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. …”
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13427
U<sup>2</sup>-Net network structure diagram [8].
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. …”
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13428
RSU-7 structure diagram [8].
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. …”
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13429
Drill image dataset for training part I.
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. …”
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13430
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13431
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13432
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13433
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13434
Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote...
Published 2023“…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
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13435
Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote...
Published 2023“…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
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13436
Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote...
Published 2023“…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
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13437
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13438
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13439
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13440