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I have a network of friendships and I'm trying to plot each ego network that shows only to out nominations of each ego. When I plot the ego network, it includes arrows directed towards ego and edges connecting alters to each other. I'd like to conditionally remove edges not coming from ego. Sample data and code below:

I tried to do Enrichment Analysis of Arabidopsis thaliana by using enrichGO with R. But the result is empty. What caused this result?

For a small shift management project I decided to make I'm trying to make a weekly schedule of shifts for our employees, based on a 3 shifts per day schedule, where 1 shift can hold more than one employee.

I've created an employee table and a work_day table that holds the date of the shift and 3 join tables for each shift of the day.

I was volunteered to help a rural library with some tasks they have. They want to send messages to their members. With the information they gave me, they would like to have the output I show later. They have the following .csv file (this is an example):

I want to align the feature map using ego motion, as mentioned in the paper An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds

I use VoxelNet as backbone, which will shrink the image for 8 times. The size of my voxel is 0.1m x 0.1m x 0.2m(height)

So given an input bird-eye-view image size of 1408 x 1024,

the extracted feature map size would be 176 x 128, shrunk for 8 times.

The ego translation of the car between the "images"(point clouds actually) is 1 meter in both x and y direction. Am I right to adjust the feature map for 1.25 pixels?

I am trying to estimate the motion of an object (marker M) in 3D with the help of 2 non-static cameras (See attached Figure). Apart from the moving marker, M , there are 4 static co-planar markers as well in the scene (m1, m2, m3 and m4). Absolute distance (in centimeters) between static markers is known.

The two cameras can move around, but are fixed relative to each other. The cameras take images of the scene simultaneously. I can detect all the markers (static as well as mobile) in 2D images from both the cameras.

The goal is to calculate the motion of M in 3D across frames. One way to do this is to assume m1 as origin (0,0,0) of the world coordinate system, and find 3D position of M (x,y,z) across two frames, and then find the distance between these two positions.

Hence, the problem resolves to calculating position of M wrt to m1 in 3D, across frames. This means that ego-motion (motion due to camera) across frames should have no effect on the position of M as it is relative to m1, which is origin.

I am looking for someone to guide me towards the right direction to solve this problem using OpenCV.

I'm creating a sample ego network plot, but I'd like the nodes to be closer together, specifically, the alter nodes closer to the ego node. My code:

I'm trying to make a sample ego network plot, but coloring the nodes using "fill" isn't working for me. This may be a trivial issue, but I can't figure out the problem. This is my code:

I have a nested data structure I'm getting back from an API that contains sections of text as objects inside of an array.

I'm trying to iterate over the initial array of sections, check to see what type the section is, and then based on the type iterate over the copy array to style and render each string as the appropriate HTML element.

The problem I'm running into is that I'm trying to accomplish this by using map and then a switch statement and then another map for each copy section and nothing is rendering.

Here's a CodeSandbox I created as a mock up of the problem

This is my current component: