Here, we uncover the three-dimensional (3D) genome organization of the phytopathogen Verticillium dahliae, known to possess distinct genomic regions, designated adaptive genomic regions (AGRs), enriched in transposable elements and genes that mediate host infection. Short-range DNA interactions form clear...
This problem involves writing a NumPy program to generate a one-dimensional array containing single, two, and three-digit numbers. The task requires utilizing NumPy's array creation functionalities to efficiently create an array with the specified numerical range. By combining different ranges for sing...
Methods are described that make it possible to bring this set to a form suitable for training and further use in neural network modeling. A software module-data loader has been designed and implemented, which allows converting a three-dimensional model into a numpy array of a depth map with ...
Understandings of the three-dimensional social behaviors of freely moving large-size mammals are valuable for both agriculture and life science, yet challenging due to occlusions in close interactions. Although existing animal pose estimation methods captured keypoint trajectories, they ignored deformable ...
X-ray computed tomography (CT) allows us to visualize root system architecture (RSA) beneath the soil, non-destructively and in a three-dimensional (3-D) form. However, CT scanning, reconstruction processes, and root isolation from X-ray CT volumes, take considerable time. For genetic analyses...
The software for Three Dimensional Optimal Spectra Extraction (TDOSE) is build in Python to extract spectra of both point sources and extended sources from integral field data cubes, i.e., three dimensional data with spatial (x,y) and wavelength dimensions (λ). TDOSE was build for spectral...
The inputs for these three last attributes must represent a 2D surface. Such surface can be defined either from an external file (seeTable 5for the supported file formats) or directly from a custom 2D numpy array. Some examples of the usage of the domain are given in Examples 2 and 3 ...
(11) can be reduced to a five-dimensional integral in phase space by exploiting the symmetries of the problem, a dramatic simplification is obtained in the limit of infinite nucleon-mass at fixed Q [70, 74]. This is the so-called Born approximation, in which the kinetic energy of the ...
Welcome to use this small program for drawing three-dimensional Bulk and Surface Brillouin Zones. Directly download the Jupyter notebook/Python file and use it! Require numpy and matplotlib Class: BZ Initial input: Vectors of bulk Brillouin zone, with unit A^-1 and written in the Cartesian coo...
obs as o import numpy as np import matplotlib.pyplot as plt # set up the Brillouin zone discretization discretization = np.linspace(-np.pi, np.pi, 20) k = np.array([[x,y,0.0] for x in discretization for y in discretization]) # import pf-FRG data data = o.getStructureFactor("...