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linear decrease » linear increase (Expand Search)
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linear decrease » linear increase (Expand Search)
lower decrease » larger decrease (Expand Search), teer decrease (Expand Search), showed decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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17241
Repeat the detection experiment.
Published 2025“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
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17242
Data Sheet 1_Impact of SARS-CoV-2 vaccination and of seasonal variations on the innate immune inflammatory response.pdf
Published 2025“…</p>Results<p>Our results show that IL-8 production after stimulation decreased after vaccination. In addition, the IL-8 response was significantly different depending on the season when the visit occurred, for both COVID-19 vaccinated and unvaccinated individuals.…”
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17243
Detection network structure with IRAU [34].
Published 2025“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
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17244
Ablation experiments of various block.
Published 2025“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
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17245
Kappa coefficients for different algorithms.
Published 2025“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
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17246
The structure of ASPP+ block.
Published 2025“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
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17247
The structure of attention gate block [31].
Published 2025“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
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17248
Data Sheet 1_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.pdf
Published 2025“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”
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17249
Data Sheet 2_Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.csv
Published 2025“…Background<p>The tumor microenvironment (TME) plays a critical role in the development, progression, and clinical outcomes of hepatocellular carcinoma (HCC). …”
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17250
Image 2_Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.jpeg
Published 2025“…Background<p>The tumor microenvironment (TME) plays a critical role in the development, progression, and clinical outcomes of hepatocellular carcinoma (HCC). …”
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17251
Image 4_Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.jpeg
Published 2025“…Background<p>The tumor microenvironment (TME) plays a critical role in the development, progression, and clinical outcomes of hepatocellular carcinoma (HCC). …”
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17252
Image 3_Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.jpeg
Published 2025“…Background<p>The tumor microenvironment (TME) plays a critical role in the development, progression, and clinical outcomes of hepatocellular carcinoma (HCC). …”
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17253
Image 5_Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data.jpeg
Published 2025“…Background<p>The tumor microenvironment (TME) plays a critical role in the development, progression, and clinical outcomes of hepatocellular carcinoma (HCC). …”
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17254
Data Sheet 2_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.pdf
Published 2025“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”
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17255
Table 2_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.xlsx
Published 2025“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”
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17256
Table 1_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.xlsx
Published 2025“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”
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17257
Table 1_Evolving landscape of female cancers along with attributable risk factors in China from 1990 to 2021, and projections to 2040.xlsx
Published 2025“…Background<p>Female cancers pose a significant health burden in China, and this study identified and projected epidemiological trends of these cancers.…”
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17258
Data Sheet 1_Evolving landscape of female cancers along with attributable risk factors in China from 1990 to 2021, and projections to 2040.pdf
Published 2025“…Background<p>Female cancers pose a significant health burden in China, and this study identified and projected epidemiological trends of these cancers.…”
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17259
Table 2_Evolving landscape of female cancers along with attributable risk factors in China from 1990 to 2021, and projections to 2040.xlsx
Published 2025“…Background<p>Female cancers pose a significant health burden in China, and this study identified and projected epidemiological trends of these cancers.…”
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17260
Table 3_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.xlsx
Published 2025“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.</p>Objective<p>We developed and validated a tissue deconvolution framework using a reference dataset derived from single-nucleus RNA sequencing (snRNA-seq) of normal pituitary tissue, aimed at estimating cellular composition in PitNETs from bulk RNA-seq data and characterizing the tumor microenvironment (TME).…”