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17841
Fig 3 -
Published 2020“…Compounds in orange exhibited a significant increase; compounds in blue indicate a significant decrease, and compounds in black indicate no significant change upon endosidin-7 treatment (significant criteria <i>p</i> < 0.05 in multivariate analysis, with exceptions and details indicated in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0241627#pone.0241627.s005" target="_blank">S1 Table</a>). …”
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17842
Image_1_Reducing Water Availability Impacts the Development of the Arbuscular Mycorrhizal Fungus Rhizophagus irregularis MUCL 41833 and Its Ability to Take Up and Transport Phospho...
Published 2018“…Water availability in the HC was then lowered by increasing the concentration of polyethylene glycol-8000 (PEG-8000) from 0 to 10, 25, and 50 g L<sup>-1</sup> (corresponding to a slight decrease in water potential of -0.024, -0.025, -0.030, and -0.056 Mpa, respectively). …”
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17843
Table_4_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx
Published 2021“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”
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17844
Data_Sheet_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.ZIP
Published 2021“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”
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17845
Table_3_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx
Published 2021“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”
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17846
Table_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx
Published 2021“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”
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17847
Table_7_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx
Published 2021“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”
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17848
Table_6_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx
Published 2021“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”
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17849
Table_2_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx
Published 2021“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”
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17850
Image_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.TIF
Published 2021“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”
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17851
Table_5_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx
Published 2021“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”
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17852
Effect of the surface charge of HN protein on its structural stability.
Published 2022“…The protein stability is shown as the temperature for a 50% decrease in Δ Ellipticity at 222 nm (T<sub>m-CD</sub>). …”
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17853
Proteins from the TSC/mTOR pathway are regulated by p19.
Published 2009“…C) western blot analysis with anti-p-70S6K (Thr389) antibodies on proteins from HeLa cells transfected with pRK5, pRK5-p19, and pRK5-p19mut. A decrease of p-70S6K by 50% were quantified in lanes pRK5-p19 versus pRK5. …”
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17854
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17855
Menthol and eugenol as natural anesthetics for early juveniles of curimba
Published 2018“…Increased concentrations led to a decrease in recuperation time. The concentrations between 50 to 70 mg of eugenol L−1 provided the lowest induction times; however, recovery time was not affected by eugenol concentrations. …”
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17856
Waterfall plot showing the quantitative changes in ER, PR, and Ki-67 expression.
Published 2020“…(A) ER discordance rate: 10.4% (50/482) of patients, including 36 (7.5%) patients with positive-to-negative conversion and 14 (2.9%) patients with negative-to-positive conversion; (B) PR discordance rate: 17.0% (82/482) of patients, including 57 (11.8%) patients with positive-to-negative conversion and 25 (5.2%) patients with negative-to-positive conversion; (C) Ki-67 discordance rates: 50.4% (243/448) of patients had decreased expression and 27.0% (130/448) of patients had increased expression.…”
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17857
Proteasome Inhibitors Block DNA Repair and Radiosensitize Non-Small Cell Lung Cancer
Published 2013“…Proteasome inhibition resulted in an 80–90% decrease in homologous recombination (HR), a 50% decrease in expression of NF-κB-inducible HR genes <i>BRCA1</i> and <i>FANCD2</i>, and a reduction of BRCA1, FANCD2 and RAD51 ionizing radiation-induced foci. …”
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17858
Y-27632 treatment of P19 cells inhibits the differentiation of primitive endoderm.
Published 2013“…FACS analysis demonstrates a significant decrease in GATA-6 and Troma-1 positive cells with Y-27632 present (K). …”
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17859
Influence of Ca<sup>2+</sup>-chelation on the individual binding interfaces of N-cadherin.
Published 2013“…This confirms the hypothesis that the X-dimer is a Ca<sup>2+</sup>-dependent intermediate step in the formation of the strand-swapped dimer. n(WT) = 8, n(W2A) = 8, n(R14E) = 9, n(V81D/V174D) = 7 junctions. …”
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17860
PSimScan: Algorithm and Utility for Fast Protein Similarity Search
Published 2013“…The first step in this pipeline is a novel algorithm that builds and selects ‘similarity zones’ aggregated from neighboring matches on small arrays of adjacent diagonals. …”