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Manual Float Charging/Manual FC for Pos./Manual FC for Neg. Sync Paral. Param. - Reset Password About Model - - - - ESN Version The bypass frequency range is associated with the ECO frequency range (the bypass frequency range is ±0.5 Hz, ±1 Hz, ±2 Hz, ±3 Hz,...
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This corresponds to the proportion of the majority of hap-mers in a scaffold. Notably, only one switch error can cause a large decrease in the value (e.g., error in the middle of a scaffold), and a low value of this indicator suggests large-scale haplotype inconsistency, which can have...
20k Accesses 60 Citations 67 Altmetric Metrics details Abstract Mito-SEPs are small open reading frame-encoded peptides that localize to the mitochondria to regulate metabolism. Motivated by an intriguing negative association between mito-SEPs and inflammation, here we screen for mito-SEPs that ...
Medium, High This policy sends up to eight retries at exponentially increasing intervals, which scale by 7 seconds up to an interval of approximately 15 minutes for the last retry. Retry setting limits The following table describes the limits on retry settings. To change the default settings, us...
20k Accesses 74 Citations 94 Altmetric Metrics details Abstract The polyglutamine expansion of huntingtin (mHTT) causes Huntington disease (HD) and neurodegeneration, but the mechanisms remain unclear. Here, we found that mHtt promotes ribosome stalling and suppresses protein synthesis in mouse HD ...
scale), nn.Conv2d(fc_dim, 512, kernel_size=1, bias=False), BatchNorm2d(512), nn.ReLU(inplace=True) )) self.ppm = nn.ModuleList(self.ppm) # Deep Supervision self.cbr_deepsup = conv3x3_bn_relu(fc_dim // 2, fc_dim // 4, 1) self.conv_last = nn.Sequential( nn.Conv2d(fc...
A key strength of our study is that we apply the same deep learning method for detecting inequalities across multiple outcomes at the same spatial scale and using the same set of images. Therefore, we could test and compare performances for evaluating whether, and for which outcomes, one can ...