بدائل البحث:
values decrease » values increased (توسيع البحث), largest decrease (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
auc greater » much greater (توسيع البحث), a greater (توسيع البحث), age greater (توسيع البحث)
increase » increased (توسيع البحث)
values decrease » values increased (توسيع البحث), largest decrease (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
auc greater » much greater (توسيع البحث), a greater (توسيع البحث), age greater (توسيع البحث)
increase » increased (توسيع البحث)
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101
X-ray CT data with semantic annotations for the paper "A workflow for segmenting soil and plant X-ray CT images with deep learning in Google’s Colaboratory"
منشور في 2024"…<p>Leaves from genetically unique <em>Juglans regia</em> plants were scanned using X-ray micro-computed tomography (microCT) on the X-ray μCT beamline (8.3.2) at the Advanced Light Source (ALS) in Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA USA).…"
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102
Representative CT imaging in patients with a durable clinical response.
منشور في 2023"…Pleural metastasis (yellow arrow) was observed on CT and FDG-PET at baseline. The pleural tumor was decreased in size by the KW-0761 treatment, which was also confirmed by a reduction in standardized uptake value-max (SUV-max) on FDG-PET. …"
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104
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105
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106
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108
Contrast-to-noise ratios and thickness-normalized, ventilation-dependent signal levels in dark-field and conventional <i>in vivo</i> thorax radiographs of two pigs
منشور في 2019"…To analyze lung expansion separately, we acquired CT scans of both pigs at comparable posture and ventilation pressures. …"
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109
AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre
منشور في 2025"…To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre</p>…"
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110
Data Sheet 1_Prognostic impact of dynamic changes of type I melanoma antigen gene proteins CT7 (MAGE-C1/CT7) transcripts in multiple myeloma.docx
منشور في 2025"…Our data showed the predictive value of peri-ASCT frontline treatment. A 2-log decrease of MAGE-C1/CT7 post-induction cycle 2 compared to baseline correlated with a negative peri-ASCT MAGE-C1/CT7 status, providing an earlier prognostic marker of treatment response.…"
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111
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112
Visualization of differentially abundant metabolites in HG-cultured BeWo CT cells.
منشور في 2023"…The x-axis indicates log<sub>2</sub>(fold-change) vs LG BeWo CTs, and the y-axis indicates the p-value (-log10). The red dots represent significantly increased metabolites, and the blue dots represent significantly decreased metabolites in HG-cultured BeWo CT cells.…"
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113
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Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
منشور في 2025"…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…"
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115
Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
منشور في 2025"…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…"
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117
Image 3_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
منشور في 2025"…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…"
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118
Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
منشور في 2025"…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…"
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119
Image 2_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
منشور في 2025"…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…"
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120
Image 4_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
منشور في 2025"…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…"