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[First attempt at creating a video working version of Dann’s NexGen Nexus 2.3.2. Crop settings, so your mic will be in the middle.. If you can connect to the Internet, download .Frequency of perichromosomal heterochromatin in Ustilago maydis.
Ustilago maydis is a basidiomycete yeast that does not develop hyphae, and only forms periclinal and intercalary chitin-containing microconidia. Previous studies showed that this mold is haploid for both mating type loci, but that there is extensive recombination between the two loci. To determine if this is caused by the presence of perichromosomal heterochromatin, we compared the heterochromatic region of mitotic chromosomes in the a and a’ mating-type strains, with the distribution of this material in meiotic prophase nuclei. The results show that there are two types of perichromosomal material in U. maydis, heterochromatin from only one region and heterochromatin from both regions. We refer to both classes of heterochromatin as a single class and use the term perichromosomal heterochromatin to indicate either type. The heterochromatin is evenly distributed in the nuclei of both strains during meiosis, but is concentrated on the chromosomes of the a’ cell during mitosis. Chromosomes that contain perichromosomal heterochromatin are frequently associated with nonheterochromatic chromosomes and interstitial heterochromatin. We demonstrate that at least part of the chromosome-associated perichromosomal heterochromatin in meiosis is located at the centromere/pericentromere regions and is associated with the kinetochores. These data are consistent with the hypothesis that perichromosomal heterochromatin is involved

https://colab.research.google.com/drive/1bzHUTdlwz6Sy3iKbta9B71GM1AcZwWz9
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Reference other people’s opinions, but I like your way of slowing down so you can hear each tube, a lot. Or if you have a small double sub, as I do with my bass.. Of course in a BOS system you have to install them all, but hey. I’ve never kept a BOS rig so there are few direct comparisons.Mean cell volume of acute lymphoblastic leukemia in the African group.
Mean cell volume (MCV) is a parameter that is used to distinguish lymphoblasts from normal lymphocytes and acute lymphoblastic leukemia (ALL) from other leukemias. The aim of this study was to evaluate the use of MCV in differentiating between ALL and chronic lymphocytic leukemia (CLL) in the African population. MCV levels were determined in patients with ALL (n = 90) and CLL (n = 30). Using a cut-off point of MCV of 86.4 fL, 85.9% of patients with ALL were correctly classified. The mean MCV for ALL patients was 95.66 (SD = 24.59) and for patients with CLL was 86.73 (SD = 15.50). The MCV levels did not significantly differ between the two groups. However, there was a significant difference between the gender of patients in both CLL and ALL groups. Of patients with CLL, 46.7% were male and 53.3% were female. Of patients with ALL, there were 43.3% males and 56.7% females. The differences in MCV values by gender in CLL and ALL groups were significant (P = 0.04 and 0.0004, respectively). Thus, MCV in combination with the gender of the patient can be used to distinguish patients with ALL from patients with CLL in the African population.Q:

Keras Conv2D padded on 0 means

I am using a model with Conv2D layer. I am trying to understand how keras optimize weights and input weights.
Input_shape = (20, 20, 3)
Number of filters = 100

Input weights = Input_weights = np.zeros((20, 20, 3, 100))
Batch weights = Batch_weights = np.zeros((20, 20, 3, 100))

conv1 = Conv2D(100, (5, 5), padding=’same’, activation=’relu’)
conv
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