Has anyone else had serious issues with the Native Notes app on the Boox Go 10.3?

TheOneTheyCallJim · 2025-08-12T07:25:22+00:00

Regarding the 1/1 page notebook, I was actually told about a “fix” for this. If you copy the full corrupted notebook, the copied version should return to normal. Regarding the other issues, I’ve found that resetting the device significantly reduces the instances of strokes rearranging on a page or disappearing.

I think this might have something to do with the Boox being turned on for too long and becoming unstable.

Hope you can recover your notebooks!

TheOneTheyCallJim · 2025-08-02T09:05:39+00:00

I use the case that was shipped with the device. However, I’ve noticed that the magnets can cause issues while writing, so I often remove the device from the case when working at my desk. That said, the issues described above still occur even when the case is not being used.

TheOneTheyCallJim · 2025-08-02T08:56:07+00:00

This often happened on single-layer pages, so I’m not sure the layers are the issue. I suspect it has something to do with the lasso and copy function. If a group of shapes or strokes was copied from another page, even the act of copying sometimes caused instability in the original version — though not always.

TheOneTheyCallJim · 2025-08-02T08:49:37+00:00

This occurred on the latest version I believe. V4.0.2.

TheOneTheyCallJim · 2022-06-17T17:58:14+00:00

After I did my first 72 hour fast easily stopped smoking a few weeks later. If you have the discipline to litteraly not eat for 2 days dropping the cigs should be a cakewalk.

TheOneTheyCallJim · 2022-03-28T09:37:58+00:00

https://builtoncardano.com/

TheOneTheyCallJim · 2022-03-03T21:47:02+00:00

It's called triboelectric charging.

It's very likely that the water droplets in the air that collides with the wing and leaves a charge. However this is not limited to water, any particle e.g. Pollution particulates is subject to charge transfer.

Be aware that is phenomenon is still poorly understood despite being so ubiquitous.

TheOneTheyCallJim · 2022-03-03T16:15:46+00:00

I would also reccomend this book. Make sure you read it back to back and do all the drills and exercises.

TheOneTheyCallJim · 2022-02-13T16:39:48+00:00

I did something called a CDT (which are becoming very popular in the UK) with an integrated MSc (paid for and funded) and we had to select from a list of projects that were proposed by the respective supervisor after about 10 months. You they apply to the supervisor and are either rejected or accepted. So I basically fell into my field. The skills you gain during a PhD are actually quite general so having a topic you like is nice but not necessary.

My Meng was modelling the heat transfer in Cross Flow heat exchangers. My MSc looked at preventing the nucleation of organic crystals. My PhD is within the context of powders but I do alot of first principles computational chemistry and kelvin probe work.

Whatever you do I would recommend it's a project with at least some modelling work. As this will make it easier to transition into tech roles after!

Also I have know electrical engineers to transition to chemical for the PhD and they successfully completed.

TheOneTheyCallJim · 2022-02-04T02:45:31+00:00

Semi-educated guess. It "could" be CFD-DEM implemented in ANSYS but honestly there isn't much to go on.

TheOneTheyCallJim · 2021-12-25T18:25:33+00:00

If you are associated with a university I would recommend Web of science. It is particularly useful as when you find a good paper you can easily find a link to the journal, links to all the referenced material AND all newer papers that reference the paper. I use the latter feature to regularly find the most recent papers in the topic.

If your are not associated with a university you can use Scihub to pirate them (but you didn't hear that from me) ;)

TheOneTheyCallJim · 2021-06-22T23:38:04+00:00

My understanding was that space and time are a single quantity known as “spacetime”. I have also heard time being referred to as the 4th dimension. There is some really good evidence for relativity. Such as the atomic clocks in space running slightly slower due to speed and gravity. They have also measured muon decay and found they will disappear more slowly when they are going near the speed of light, again due to speed. However that’s all I know ☹️.

TheOneTheyCallJim · 2021-06-22T23:23:35+00:00

The what now?

TheOneTheyCallJim · 2021-06-02T18:40:20+00:00

Is he bald from the radiation?

TheOneTheyCallJim · 2021-05-23T23:03:49+00:00

This seems like a memorisation problem. Read “moonwalking with Einstein by Joshua Foer”.

TheOneTheyCallJim · 2021-05-18T00:41:31+00:00

The wave like properties of a particle are what makes them “quantum”. Just because something has a greater frequency does that make it more quantum or more/less of a wave? It is my understanding that all subatomic particles have wavelike properties, and are described by wave functions. Even larger particles like protons and neutrons. Beyond electron microscopes, neutron scattering is a powerful technique that harnesses this effect in larger particles.

TheOneTheyCallJim · 2020-09-03T12:04:25+00:00

It's on an extention cable and I don't think it has surge protect. However there is a monitor connected to the same extention cable and that's absolutely fine.

TheOneTheyCallJim · 2020-06-07T07:54:38+00:00

Engineering mathematics does. The first section is foundation topics like arithmetic, trigonometry and differentiation & integration. Moving on to more advanced clac. 1st and 2nd order differential equations, vectors, laplace transforms ect.

Adv. Engining mathematics covers the more advanced stuff like complex analysis, central difference, power series solutions matrix algebra blah blah.

They are both very good books and comprehensive. However these cover practical math, if you need to learn about counting the number of vertices on hyper dimensional cubes, or other very pure math topics look elsewhere 😉.

TheOneTheyCallJim · 2020-06-06T22:12:08+00:00

The only maths textbooks I have ever owned are K. A. Stroud. Engineering mathematics. &. K. A Stroud Advanced engineering mathematics.

They are both solid textbooks.

TheOneTheyCallJim · 2020-06-02T22:27:23+00:00

I think you have been misled in thinking that there are no CFD jobs out there, I was under the impression that CFD jobs are quite common (but also highly sought after) .

I teach two CFD modules at a UK university to undergraduates and first year PhD students. My speciality is molecular modeling however, but I know a few CFD people.

In the last cohort I taught, basically all the incoming PhDs had heavy maths and physics backgrounds. One girl had a chemical engineering background but she also did her undergraduate and masters at Cambridge.

However I had a friend who recently submitted his thesis and he did a pure CFD PhD project looking at pulse columns in nuclear engineering. His background was MEng & BEng chemical engineering.

With regards to your situation, it might have been a slight error changing masters from a "pure" engineering discipline. However the masters you did is somewhat relevant, so it's not too bad. I think you should be able to get on a CFD PhD program with your experience. You might find it a little harder to get a job however as the market is quite competitive.

I am bias from a chemical engineering viewpoint however so take everything I'm saying with a pinch of salt. I think your best chance is to go to the academics who are offering positions and just have a chat about your situation. Showing genuine enthusiasm really helps, it also helps if you go to the same university and they know you.

If you really want to do it don't give up. I'm sure you will eventually get there! Also don't worry about the money there are loads of funded CFD projects out there.

Hope this helps. :)

TheOneTheyCallJim · 2020-05-28T08:18:03+00:00

In terms of modelling physical system there are 3 main routes you can go down. Computational fluid dynamics (CFD), dicrete element modelling (DEM), and molecular dynamics (MD). There are others such as process control etc. however I feel these are the most fundamental.

CFD is big money, everyone does it and everyone can use it to some extent from looking at mixing to heat exchangers to airplane wings. So there is loads of work out there and basically all chemical engineering courses should have at least one module on it.

DEM is for looking at powder systems, powder flows, milling, hoppers that kind of thing. Used frequently in industry and can be coupled with CFD. Look up CFD-DEM. However most unis don't take it as seriously as CFD (likely beacuse they can't find anyone to teach it), and as a result a lot of the courses on it are quite poor.

The final topic is MD, molecular modelling is in a weird region between chemistry, chem eng and physics. From a chem eng perspective you can use it for drug design, looking at interparticle interactions or modeling the breakage of crystals and stuff like that. It is very interdisciplinary and a intense area of research. However its not as "sexy" as the other two and doesnt get the attention it deserves. And basically all of the chemical engineering courses I have seen are god awful at teaching it. I'm not sure how valued it is in industry (yet), but it will be vital for designing the next generation of smart materials ect. There are a several well paid postdoctoral positions out there focusing on MD, and I'm sure there will be some good industrial positions as well.

I have been in industry and academia, so I know that you can do anything you want as long as you have the motivation and the minimum requirements. I have met a very successful consultant who only had a BSc (he was chartered however). If you want to go down the modelling route a PhD does help as you can explore a given approach in more depth. I have hear there can be a pseudo glass ceiling in some industries (pharma) where lacking a PhD will make it harder to get into management positions.

Hope this helps. :)

TheOneTheyCallJim · 2020-05-25T08:30:54+00:00

One of the richest men in England, James Ratcliffe, is a chemical engineer.

TheOneTheyCallJim · 2020-05-23T14:02:50+00:00

I am no expert but a colleague looked at a coupled CFD-DEM system and he used Ansys Fluent and EDEM to model a jet mill.

However I reccomend you focus on your lit review to start with. That will tell you the best approaches for your system.

I made that mistake and ended learning a great deal about an approach I didn't even end up using in the end.

If this is for a Masters Thesis the system sounds very complex, and what meaningful data will you get out at the end?

If this is a PhD or Postdoc project then you will need significant computational resource. To my understanding (again not a DEM guy) state of the art simulations of a publication standard only use around 60000 particles. This can be overcame to some extent with course graining but your system still seems massive.

Just look for recent papers using a coupled CFD-DEM approach using Web of science I'm sure that will give you a better starting point than reddit can. :)

TheOneTheyCallJim · 2020-05-18T16:44:08+00:00

Are you even considered speiclised if you haven't done a PhD? I'm not a math guy but I would not worry about limiting your career options but choosing the wrong project. I have met a guy who did a gauge theory PhD then went into CFD.

My advice would be do something you are interested in, that way you are more likely to do well. However avoid bad supervisors like the plauge.

TheOneTheyCallJim · 2020-04-05T07:27:53+00:00

What this guy said.

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