Science Fedi, what are your experiences finding a first position outside of academia? I'm often passed over for positions because I'm overqualified for lab jobs but don't have enough work experience for any other job (despite over 5 years of experience in research, managing a research project, supervising students, maintaining contact with collaborators etc.). How did you land an #AltAc job after your PhD? Bonus kudos to you if it's a job in food science or microbiology.

How do you describe the units of a PCA axis? Are they "unitless", or "eigenvector coordinates" or?

Self care tip: take some time to enjoy the schadenfreude of the NFT market collapsing

Why in-depth image descriptions are not as helpful as you might think 

Imagine you're using an online shop. What you'll typically see is a list of products where each list item has a small preview image, a product name and some other metadata.
Now imagine that the shop displays a long textual description for each product instead. This is what the timeline appears like to screen reader users if long image descriptions are used. And unlike people seeing the text, they don't have the luxury of skimming to grasp vital information quickly -- they have to wait for the screen reader to read it all.

In-depth descriptions are only helpful when the user has decided the content is interesting to them. Currently, most fedi frontends put them in the attachment's alt attribute, which is fine if the user is currently viewing a single post instead of the timeline. But on the timeline, it's much more important to have quick summaries instead.
In terms of the example above, it's the same difference as when viewing a single product vs. the product list. You're only interested in the details if a product is interesting to you.

Image description on fedi are a step up from having none at all, but they're still inadequate. Ideally, you could provide both a quick summary and an in-depth description, and the UI presents both in a way that's the most helpful.
Since this possibility doesn't exist, please consider keeping image descriptions short and putting the long description in the post body.

shifting to my desktop helped, but not quite enough. Switching to 2.5 minute resolution from 30 seconds was finally what I needed.

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There was a time a few years back when everybody was saying that trackballs were a great ergonomic upgrade. I don't do very precise mousing at work – very rare that I even work in an image editor – so I've been thinking about making the switch at the office. Two questions if anybody has good answers:

1) Are they still ergonomically recommended, or was that snake oil?
2) What are the good models these days?

I've been killing processes all morning. Trying to do distribution models via with very large/high res rasters. Any suggestions?

I'll switch from my laptop to my workstation this afternoon to see if it has enough RAM to get me through

After ignoring org-mode forever (I use emacs for coding and blogging mostly) I've finally dug into it and it's amazing. I'm going to keep using Notion for pretty content I want to share, but emacs org-mode for todos, journaling, and other lists (replacing Obsidian). I think I'll use Syncthing to keep all my notes in synch.

Just spent most of a day trying to fix a "line 30 did not have 19 elements" error in . Turns out the file had a mix of apostrophes ' and backquotes ’, which R interpreted as individual strings that captured multiple field delimiters. Also, a few stray #.

The solution: save to csv with the "quote all strings" option checked, so R will ignore all of that nonsense.

Shiny is a framework from RStudio to make web applications in #RStats.

You can use it to make simple interactive documents in no time at all, or to make production-grade applications.

So shiny can be helpful in a number of situations:

For personal use, to build simple tools for data analysis
To present results to others in a one-off meeting
To create a production dashboard for deployment on the Internet

Some good, free e-books for learning and reference:

Mastering Shiny: A good introduction
Engineering Shiny: Using {golem} as a framework to make enterprise-grade apps

Further resources and a video tutorial can be found on the shiny homepage.

does anyone know about any mastodon instances that primarily revolve around environmental issues/climate change? thanks!

Focus Stacked Sweetgum Balls Seed Pod

Canon 50D - Tamron SP AF 90mm Macro Lens - ISO 320 - f/10 - Shutter Speed 1/6 sec

#photo #photography #macro #gumballs #sweetgum #SeedPod #Canon50D #TamronMacro

The Leaf Sheep consumes so much algae that the chlorophyll in its own cells produce energy ⚡️

:mastodon: Mastodon tip: you can customize a column to list multiple hashtags (and block-list some of them too). It's a good way to discover all the posts gravitating around the topics you like (eg. for art, #mastoart is a popular one). That's really a feature I love here and wanted to share it to newcomers.

So let's try this. I'm not #newhere , tried this 2 times on now defunct hosts. But a lot has changed.

What's the mobile app you would recommend?

Wondering how to find other people on the Fediverse that share your interests?

Check out #Trunk! It has lists of Mastodon users who have self-identified as being interested in or someone who posts about everything from Audio Engineering, to Librarians, to Fountain Pens, to Plaints, to Sailing, and more!

I'm on the Described Media list for example, to express that I'm a user that describes the content of my posts, such as through alt text. The list helps me find others who describe their media, and helps others find me!

It also gives me an idea of instances I might want to move to if I want to find the company of where those on the lists are posting from.

Start exploring or join some lists here:

I'm triple-vaxed, and it looks like I've finally caught COVID. One day in bed, and now into the 'full-body sweat' phase of recovery.

Working remotely already, isolation doesn't make much difference in my daily routine

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