Having experienced both, I think individualism brings more freedom and independence which is crucial for some/most people.The cost is losing this tribal connection that gives you some sense of belonging and safety which fulfills the urge to be part of something. That's of course theoretically. In practice, the extended family is mostly a pain and a way to oppress individuals with different opinions.
During the pandemic many stores in Germany left all the carts unlocked and it seems that some of them didn't go back to the old system. So probably they've realized it's a silly thing to do and maybe it actually bring more customers if you left the carts unlocked. I actually used to chose stores that don't require a coin to unlock the carts.
That's how I feel now at my first post doc. I feel frustrated and bored already with no real mentorship or any prospect of growth. I'm really eager to be in a place where people love what they do and continuously be challenged. That's why I'm seriously considering leaving academia
Bad caps was a very common problem in the old days, I remember I replaced the ones on my motherboard at least twice.
The classical symptom was that heating the motherboard will allow the PC to start.
Okular is my daily driver, I configured minimal vim keybindings and easy shortcuts for review tools which really enhanced my productivity. The configuration is also easily portable. Over the years, I build my own conventions for highlighting and reviewing.
I'm kind of in a similar situation, but instead of working I did a PhD in a field a bit far from computer science and eventually realized academia is not a place I want to stay in. Right now I'm thinking how to do the transition. I'm thinking of maybe doing data science, that way at least I can transfer some of the knowledge form my work in academia instead of starting from scratch but it is a difficult decision.
I made a lot of friends on IRC and internet forums a long time ago. It is much easier when you are anonymous and be truly yourself. I miss these communities nowadays and can't really find a replacement.
I think there are actually many advantages to doing a PhD at an older age. Especially after having a fairly long work experience and if you can bring that to another field say Biology.
Excellent article, aggregation can also obfuscate problems with sensors (for example, weird quantization or duplicating points). It is useful whenever you have high frequency time series to look at the data points for the highest resolution possible for short segments of few data points.
Indeed, data.table is just awesome for productivity. When you're manipulating data for exploration you want the least number of keystrokes to bring an idea to life and data.table gives you that.
Like others have pointed out, It's really difficult to operate on a different schedule than the rest of society. Eventually family, friends, and other activities pushed me to give up my evening "first sleep"
Smart is a very vague criterion. What you need is people curios and intelligent enough to be able to do independent research and
It's very difficult to judge whether someone would be a good scientist before trying them with real PhD work. This process takes years so there's no way to judge how smart or successful a PhD student will be. The master's work can give a hint of how serious the student is but it's not enough because it doesn't require the same degree of independence as a PhD.
I thought about doing the same for my T430 but found out it'll cost me ~400$ and several hours so I ended up buying a second hand t470s for 300$. I like my T430 but it is really heavy and bulky and the display quality is awful (really bad viewing angles).
I'm familiar with the type of people you're describing, they are curios and creative and constantly looking for ways to improve things, these people are very rare (particularly in academia?) and really not easy to find.
I don't think these criteria you mentioned will help since most of them are not necessary personal qualities, they are rather a group culture. If there are established good practices in the group (at minimum using version control, doing regular backups) new people will follow. I agree with you about the absurdity of the number of publications factor giving that the asymmetry between the values of publications.
Aren't modern notebooks a form of Knuth's style literate programming, are there any differences? True, they are more mainstream in analytics where there's a need to explain concepts/results more than the logic of the code itself.
Essentially higher frequencies are represented using fewer number of shades and many of them will go to zero. Not only due to human cortex but also that there are not much information at high frequency region most images.
That's interesting, I'm a bit confused, in this case high frequencies are not removed they are just quantized like all other frequencies. How is this reconciled with the assumption that high frequencies carry little information?
This offer a more elaborate analysis in the original paper [1] which seems much more interesting than the article. And BTW, they mention they did not receive any funding :)
Sometimes certain measuring instruments can be assumed to have such profiles for noise, in this case generating noise is useful for Monte Carlo based modeling or uncertainty propagation.