Search alternatives:
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
ms decrease » _ decrease (Expand Search), mean decrease (Expand Search), use decreased (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
500 ms » 500 mg (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
ms decrease » _ decrease (Expand Search), mean decrease (Expand Search), use decreased (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
500 ms » 500 mg (Expand Search)
-
201
-
202
-
203
-
204
Transmission electron micrographs of step 5 spermatids.
Published 2017“…<p><b>(A)</b> As the nuclear size (N) of step 5 spermatids decreases, the decondensed chromosomes are aggregated into a retiform pattern. …”
-
205
A decrease in circulating CXCR5+CD4+ Tfh cells is associated with HCC progression, and CXCR5+CD4+ Tfh cells are decreased in tumor regions.
Published 2015“…<p>(A) The prevalence of CXCR5+CD4+ Tfh cells decreases with progressive stages in HCC. …”
-
206
-
207
-
208
-
209
-
210
-
211
Network structures of the deep learning models used for respiration prediction.
Published 2022Subjects: -
212
-
213
-
214
Actual and predicted respiratory signals for three different patterns of irregular respiration.
Published 2022Subjects: -
215
Plots of actual (solid line) and predicted respiratory signals (dotted line).
Published 2022Subjects: -
216
Process of learning a respiratory signal prediction model using deep learning.
Published 2022Subjects: -
217
Accuracy evaluation of the LSTM, Bi-LSTM, and Transformer methods using the RMSE and CC.
Published 2022Subjects: -
218
-
219
Respiratory signal prediction accuracies of LSTM, Bi-LSTM, and the Transformer.
Published 2022Subjects: -
220