METABOLIC | scalable high-throughput metabolic | Genomics library

I don't really know how to export the following output...

I have 16 turtles profiles, which refers to the non-repeating combination of habitatcover types (see ValidHabs variable)

In the model, it starts with 10 turtles that can reproduce or die.

I would like to generate an output in which the whole world turns white and paints magenta only where turtles were born, that is, the 10 turtles that started the world and then the new turtles that emerged through the reproduction process. And that this came out by turtle profile. I have looked up the NetLogo dictionary and I believe I should use the export-view command

But, I still couldn't execute in a simple code that can only export in image form the patches that only existed turtle (painted in magenta) at the end of all ticks (that is, all patches that had turtles taking into account all ticks ) for that turtle profile.

What I've managed to do so far is below.

Any kind of help will be very welcome :)

Thanks in advance!

I have a pandas dataframe that I want to manipulate. Here's an example of the data:

As you can see we have 3 columns. Column proteins has multiple elements separated with a comma, whereas column term description only has a single element per row. My aim is to reverse this and have a column with single elements from proteins and another column with multiple elements from term description. To explain this by an example if proteins CYP51A1 fall under the term description metabolic process and organic substance metabolic process I want my dataframe to look like this:

Basically, I made a fragment with a few EditTexts where the user can insert data about himself, such as bodyweight, height, age, etc.. I also added a TextView which displays that person's basal metabolic rate depending on the data that was inserted, but the problem is, whenever I change the person's information, it doesn't automatically update. I'm assuming this is because the calculations are made inside the onCreateView method, thus it only calculates BMR if I statically pre-insert the respective data. So, how can I make it so whenever I change the value of a certain variable (f.e age) it will also automatically re-calculate the value of the person's BMR?

JAVA

I am planning to add a filtering feature to my website blogs. For this, each blog post will be associated with a keyword. Selecting these keywords will show/filter all the blogs associated with that specific keyword category.

In the code below, I have separated my blogs into 3 categories (Forest, Birds and Sea). However, I also want some of the blogs to be associated with multiple keywords (two or three), see the 'Forest Birds' section in the snippet below. If someone can help me with how to do it, that would be great.

Background

I'm a novice Postgres user running a local server on a Windows 10 machine. I've got a dataset g that looks like this:

The data and code I am trying to use:

I've been trying to write two regular expressions to doing the following two tasks:

1. Pull the numbers after the phrase "EDG ICD HCUP CCS"
2. Pull the words after "EDG ICD HCUP CCS 159 (PREDICTIVE MODELS-VERSION 1.0)-"

I'd like to have the numbers stored in a column named "category" and the words stored in "diagnosis"

The strings are located in the column name "GROUPER_NAME".

I have two PheWAS plots, and the number of categories (x axis, 20 categories) is the same in case of both. I would like to put them on the same plot, mirroring one of them on the y axis, but leaving the x axis titles in the middle.

Example data:

I am trying to visualize data with ggplot2, and add 20 different colors to the 20 categories I have in "description". Without the colors, the script works perfectly (only black). However, in any way I want to add color it either stays black, or with the script below I get the following error: Error: Aesthetics must be either length 1 or the same as the data (2265723): colour This should not be a problem, as "Pastel1" has 255 colors and I created a lenght variable.

dataset (description has 20 categories):