بدائل البحث:
significant teer » significant gender (توسيع البحث), significant genes (توسيع البحث), significant trend (توسيع البحث)
longer decrease » larger decrease (توسيع البحث), largest decrease (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
teer decrease » mean decrease (توسيع البحث), greater decrease (توسيع البحث)
significant teer » significant gender (توسيع البحث), significant genes (توسيع البحث), significant trend (توسيع البحث)
longer decrease » larger decrease (توسيع البحث), largest decrease (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
teer decrease » mean decrease (توسيع البحث), greater decrease (توسيع البحث)
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101
Significant condition.
منشور في 2024"…BET and SEM analyses demonstrated that the specific surface area and porosity (most probable pore size) gradually decreased over time. At various ages, mesopores (cumulative pore diameter, median pore diameter) initially increased and then decreased. …"
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102
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103
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104
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105
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106
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107
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108
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109
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110
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111
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112
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113
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114
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115
Changes in TEER and permeability of EA.hy926 cells exposed to EVs or pellets from infected or uninfected macrophages.
منشور في 2020"…Interestingly, TEER increased significantly (up to 15 Ω/cm<sup>2</sup>) when EA.hy926 cells were exposed to EVs obtained from infected U937 macrophages (<i>EV (+)</i><sub><i>4G2</i></sub> or <i>P(+))</i> (B). …"
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116
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117
Detailed information of the observation datasets.
منشور في 2025"…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…"
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118
General technical specification for GW154/6700.
منشور في 2025"…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…"
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119
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120