tissue | Tissue - Blender 's add-on for computational design | Addon library

I have a table in long format like this:

I am trying to count how many times a value, "i", is in the range i<0.5. I am counting from a csv file. To be clear, I only want the number of times to be appended to a dictionary. I will post my code and the result I get. the result I want is like this:(86 is a place holder, not the actual number that is true) {'0.0-0.5':[86].....

input:

I have 100 pdf medical reports of different persons, I included each report into a list in R, they have two columns with a lot of different information each one, but I just want the reports that have the gallbladder tissue, so I want to create an ID for the all report nut only the rows that contain the word "gallbladder". Then I want to filter only the gallbladder reports to extract further information. These is how it looks each element of the list (They have much more information)

I have the following dictionary:

I am trying to make a function that converts the currency in a given dict:

I made the following virtual "room" in a 3D array and would like to visualize it. I can't find a way to do so, please assist. The idea is to see a "3D image" of the array as a plot where the different values have different colours or just greyscale intensities, so that you can see the "patient" and the "detector" inside the "room":

I have been trying for a while to fetch Pubmed abstracts by using its title. For istance, if I put the following title on the pubmPd mask @ https://pubmed.ncbi.nlm.nih.gov/ :

A Pituitary-Derived MEG3 Isoform Functions as a Growth Suppressor in Tumor Cells

I obtain a page showing the following abstract:

Abstract Human pituitary adenomas are the most common intracranial neoplasm. Typically monoclonal in origin, a somatic mutation is a prerequisite event in tumor development. To identify underlying pathogenetic mechanisms in tumor formation, we compared the difference in gene expression between normal human pituitary tissue and clinically nonfunctioning pituitary adenomas by cDNA-representational difference analysis. We cloned a cDNA, the expression of which was absent in these tumors, that represents a novel transcript from the previously described MEG3, a maternal imprinting gene with unknown function. It was expressed in normal human gonadotrophs, from which clinically nonfunctioning pituitary adenomas are derived. Additional investigation by Northern blot and RT-PCR demonstrated that this gene was also not expressed in functioning pituitary tumors as well as many human cancer cell lines. Moreover, ectopic expression of this gene inhibits growth in human cancer cells including HeLa, MCF-7, and H4. Genomic analysis revealed that MEG3 is located on chromosome 14q32.3, a site that has been predicted to contain a tumor suppressor gene involved in the pathogenesis of meningiomas. Taken together, our data suggest that MEG3 may represent a novel growth suppressor, which may play an important role in the development of human pituitary adenomas.

Is there any command in R packages that could do the same? I have been playing with some tools like 'easyPubmed', 'Rentrez', etc, but I was a little intimidated by their complexity. Thanks in advance.

I am trying to create a subgraph of my graph using Cypher projection because I want to use the GDS library. First, I am creating a subgraph using Cypher query which works perfectly fine. Here is the query:

I have following concepts in turtle file. I would like to extract preferred label and ids for parent node (DOID_4159) and all its child from below concepts. I have written following SPARQL query to fetch the information, but it will not give all the child nodes.