@Liesvanrompaey Hi, I'm not really sure what you mean by generate a simple structural formula.
Do you want to draw/write the formula? I doubt there is software dedicated to draw that kind of formula with no angles. Maybe some latex package; but probably it'll be quicker to draw them in impress at that point.
To draw molecules you could look at xchemdraw (but it's a bit old) or marvinsketch; both are free. I attach an image of what you could get.
Yep, for those who won we don't actually know how long they may have survived. Each season there is only 1 winner (except S4). The winners would need to survive ~2.3x longer than they did to balance the average days lasted for men and women. With that in mind I think this is a fair metric to compare genders more generally.
@ashdragon@mastodon.social A digital spreadsheet. But to be fair I'm not really budgeting, just checking my expenses at the end of the month to have a broad idea of my expenses.
I can do this now, because I started paying most of the stuff using my debit card; this is apparently possible here in Spain where they accept even very small payments below 1€ to be done with the card.
What I do is the following: download my bank statement, copy expenses to a spreadsheet and broadly categorize each expense. This doesn't take more than 5 minutes per month. Then I have a formula set in place that will calculate how much money I spent, what percentage of my income I got as savings and what percentage of my savings I have invested.
Indeed I can do this because I pretty much keep in mind more or less how much I spent through the month. It works quite well for me as I rarely spend more than 50% of my salary.
@tanya_shapiro @danoehm I don't know what alone is specifically, but I can imagine.
Is it better to go on longer before winning?
While men definitely survive less, they appear to win and to do that earlier than the women who outlasts most men.
Is the average survival time a fair metric when you have people who leave earlier because they won?
@janhjensen Come on, where's the fun figuring out the new conformation from a printed screenshot of VMD then?
But really, once I got the geometry of a large molecule published in a PDF, spanning over several pages and with no OCR.
Ho smesso di fumare, non per la salute o robe del genere.
Dopo anni di onesto scrocco professionale ho dovuto cominciare a comprare tabacco perché il mio coinquilino fumatore si lamentava che gliene scroccavo troppe.
Però allora non ci stò, non voglio mica comprarlo il tabacco, poi così non c'è gusto.
Almeno prima quando avevo voglia di fumare andavo a farmi un giro e mi facevo una chiacchierata con qualcuno, ora ero arrivato al punto di fumare tutti i giorni in casa da solo.
@errantscience Cool, I have to make this a banner to anyone connecting to the computation cluster
@mariannabolognesi @cognition @nlpbot@mstdn.social @nlp @openai @linguistics Si vede che deve ancora fare le elementari!
Sto avendo una fervente discussione epistolare con Massimo Fini ed ho provato ad utilizzare #ChatGTP per rimettermi le frasi un po' a posto.
Mi ha sparato fuori questa perla "Meglio non riportare i dati in modo errato, piuttosto che riportarli del tutto."
@rastinza @aspuru @KellyKellyKelly@masto.ai
#ChatGPT is even more useful when asking stuff that you know very well and that can't fool you. By knowing it you can quickly read a lot of answers and most of the time there are relevant details you never heard of or connections you didn't make.
I'm currently experimenting with a #GPT3 plugin for #Logseq that can be used to generate more content alongside my notes to keep it in context and eventually reworked manually; here there is an example (in Italian) with machine generated sentences highlighted:
@ferryoons @Strandjunker In fact, it is impossible to be neutral about things; expecting that will lead to failure.
When you study history you'll find some things you like and some things you don't like, but you should try to determine the facts regardless of which opinion you have about them.
Some people you won't like, but you should find all that there is to be found about them, not only the information underlying their bad characteristics. Moreover, it would be positive to analyze the reasons behind certain decisions taken by trying to understand their mentality; this is certainly a difficult task.
@Strandjunker "We need a remembrance day"
@rastinza @KellyKellyKelly wow that is incredible ! Do you have a screenshot ? I didn’t know that #ChatGPT knew my group and it’s work :)
@aspuru @KellyKellyKelly@masto.ai Yes, it's quite impressive, I was not expecting that. I didn't take a screenshot as I was just testing if that could be useful in practice, I just took the screenshot when I used it in a useful way.
Now that I think about it, it may be nice to investigate the performance and practicality of this system and write a short guide on how to use it effectively. If I do that I'll make sure to repeat a similar sequence and send you a screenshot.
However, I'm doubt I'm expert of enough topics to validate it. It may be nice to have some people send a topic they know with a list of fundamental methodologies and facts that have to be known to see if these can be identified by someone who is not an expert by using this method.
I was really surprised by it knowing the research groups and the names of their members as well as academic affiliations. It shocked me especially for PASITHEA, as much as it is a great and revolutionary approach I doubt it was mentioned in a lot of places.
I can imagine SELFIES being talked about in some blogs or something like that, I'd imagine no more than 100 documents talking about it; but I doubt PASITHEA ever got that much attention. This means that #ChatGTP is able to keep track of things even with a very minimal amount of data provided.
@liaizon Fails to log me in altogether... oh well
@KellyKellyKelly@masto.ai Yes, you can go on and ask more specific questions even about very recent topics. The amount of mistakes grows with the specificity and novelty of the investigated topic.
Of course before doing this I used it on some topics I'm more adept of. Yesterday I asked it a series of more specific questions about a novel topic: machine learning based de novo molecular structure generation for drug design. This is a fairly new research field, with the first article published around 2017. It did give a broad overview of the topic, listing some of the methodologies that have been used and developed. Several errors were present, but with a bit of critical reading and validation you could quickly draft a list of most significant innovations in the field.
The last and most specific question I was able to ask was a list of the research groups working in the field and what they focus on. The list was very incomplete and contained research groups working on other related fields, but some of the groups listed were actually relevant; it was able to give me the names of some of the persons working in each group, the location and a brief overview of what they do.
I don't know if other groups are here on Mastodon, but I'll mention @aspuru since his group was correctly listed by chatgpt, as well as their involvement with SELFIES and PASITHEA.
I mean, 5 minutes ago I didn't know what an MTT assay was. It was what I had in mind and what I was more or less searching for, but had no specific idea of how it worked and what it was.
Now I know what it is and I know where to find specific information about the methodology if I need to.
And I even had the time to write this post...
Normally, I'd have to find a review about these methodologies and skim through it to find the one I was interested in.
Italian, MSc in chemistry specialized in cheminformatics and QSAR.
I'm interested in cooking and building stuff.
I love traveling, I lived in India, China, Slovenia, Poland and Spain.
Currently working in Spain in the field of genomics; and doing a PhD in Drug Development using Quantum Mechanics and Artificial Intelligence.
Don't take what I say as an insult, I have no bad intentions and I'm open to talk about it.
Don't star my toots, I find that often useless: if you liked it send a reply.
Consider boosting the toots, it's the only real way in which stuff is propagated through mastodon.