I like #SF books, #aikido and I'm generally interested in #ecology and #FOSS
I mostly talk about my research fields here, if you want to hear about FLOSS, #sustainability (in) #science and #OpenScience, check my alt: @firstname.lastname@example.org
I was looking for a tool in #Python to do #ChordDiagrams...
I did not find anything I really liked, but stumbled on an old git repo with promising PRs: https://github.com/fengwangPhysics/matplotlib-chord-diagram
A day later, I have a good enough tool for my use cases: https://github.com/Silmathoron/mpl_chord_diagram
If you want to check it out or hunt bugs, it's now on Pypi: pip install mpl-chord-diagram
Hi everyone. I'm a full time #parent full time #math student in my mid-thirties, I have a #ComputerScience background, my hobbies are computer stuff, #arduino and #esp32 tinkering, #reading, casual hiking. Things that are very important to me are #HumanRights, #CommunityDriven Projects, #Equality, #Privacy and #FOSS. I came here to reexperience social media after several years of abstinence. And to exchange with like-minded people. I use #ArchBTW.
LibreCast aims to provide a next generation internet with better privacy, more decentralisation, less spam and better energy efficiency by using "multicast". You can follow at:
The website is at https://librecast.net
You can see a brief overview on its funding page at https://nlnet.nl/project/LibrecastLive
For a clearer explanation of what multicast even means, see the video at https://spectra.video/w/qd4Tn4wXg9JM34UPSQtgXM
A very interesting paper about chemical gardens. Have a look at the figures! #chemobrionics
Generation of chemobrionic jellyfishes that mechanically divide, grow and exhibit biomimetic “symbiosis”.
#science This is a good review of data-driven techniques applied to neuroimaging data, to try to identify robust and reliable mind/brain relationships--just accepted, it'll be out soon! Dive into how we have moved past "blobology" in the past decades, not just looking at red spots of activity in the functional MRI analyses anymore. 😁 Dust off your math skills, though! https://www.frontiersin.org/articles/10.3389/fnhum.2022.875201/abstract
Statistics terminology question
Is there a term I can search for that describes the following:
- Study shows that A is correlated with B, r=0.9
- Different study shows C is correlated with B, r=0.8
The term I'm looking for is the "implied correlation" (my term) of A and C. 1) is it even epistemically valid, 2) how to calculate the implied r
My instinct tells me 1) is "sort of" and 2) is simply r1 * r2 but my instinct is often wrong. Also does Bayes' theorem somehow apply here??
Hey people, I'm thinking of making an alt to talk about day-to-day stuff (gaming, pico8 programming, pictures of walks, more gaming, weird thoughts, japan shitposting, the occasional mental health rant).
How do you go around choosing an instance for an alt? I have checked the "more" page of a dozen or so cool looking instances, but it seems that for a personal alt the community is the most important part, and I have no idea how to look for that, so I'm still confused.
Any advice appreciated!
"Asymptotic burnout and homeostatic awakening: a possible solution to the Fermi paradox?"
This paper proposes a new evolution path for possible societies across the universe, that could answer the Fermi Paradox and the idea of "Great Filters"
In short, the questions raised by the Fermi Paradox, the Kardashev scale, etc, adheres to assumptions based on our capitalist societies ("growth or else!") that "might" not be universal 😏
Mysterious hepatitis outbreak sickens young children in Europe as CDC probes cases in Alabama
Researchers suspect an adenovirus may be involved, but are still searching for the cause of illness. #virology
To encode an adjacency matrix A, techniques like k² trees recursively divide A into k² (e.g. 4) submatrices and write them as nodes in a tree with 0 or 1 at each level marking if the submatrix is empty or not, the lowest-level 1-leaves containing an eplicit submatrix.
Domain-specific applications can combine/modify techniques to exploit a particular organization/hierarchy in the graph or accomodate given properties.
E.g. URLs can be encoded with different schemes for global and local links.
Adjacency list encoding techniques include, among other things:
- variable-length encoding (VLE: store the vertex ids with a number of bytes that depends on their size, instead of 4/8 bytes for all)
- vertex relabeling (relabel to have mostly small integers appearing so VLE is most efficient)
- reference encoding (refer to identical neighbor lists seen before)
- gap encoding (if there are contiguous vertices in the neighbor list, store the gap rather than all entries)
Survey and Taxonomy of Lossless Graph Compression and Space-Efficient Graph Representations
gives an impression overview of lossless graph compression methods from 3 different perspectives:
- research areas (what do people in your field use?)
- techniques (how the graph is compressed)
- features (what type of graph/property are the focus)
Dear #Scipy, #Python, and #GraphTheory experts, I want to find a sparse distance matrix of a subgraph, using #CSR matrices. I appreciate any ideas, here are the details: https://stackoverflow.com/questions/72184296/run-a-multiple-source-dijkstra-to-the-k-closest-sinks-via-a-scipy-csr-matrix?stw=2.
Fediscience is the social network for scientists.