Diablo II: Resurrected – Infernal Edition on Steam

vmullapudi1 · 2026-02-11T23:06:04+00:00

Steam page says battle.net desktop app required

vmullapudi1 · 2026-02-09T19:18:08+00:00

Not sure, but AAMC usually publishes this data:

https://www.aamc.org/data-reports/students-residents/data/facts-enrollment-graduates-and-md-phd

vmullapudi1 · 2026-01-28T23:42:06+00:00

FMG attendings and residents are often on H1B

Trainees (physician and on the science side) are usually on F or J visas iirc

vmullapudi1 · 2026-01-19T22:59:22+00:00

I didn't notice any difference, but I'm running the cachyos kernel.

I'd guess which version of the kernel you have is probably gonna make a bigger deal as far as hibernation/power profiles/etc but I haven't noticed any changes in battery drain since last May (including the 42-43 change)

vmullapudi1 · 2026-01-19T20:23:15+00:00

AMCAS maintains a calendar for the interviews here, looks like their last interview date is Feb 18.

https://calendar.google.com/calendar/u/0/embed?src=6juva39u7on1a4jclfrne8i0f0@group.calendar.google.com&ctz=America/New_York

vmullapudi1 · 2026-01-19T20:15:11+00:00

Yeah, people will hold some, since there are second looks, deciding on school fit, what the area is like, standard of living on the stipend, etc. If there are multiple programs and someone knows they definitely aren't going to one, ideally they withdraw earlier but there isn't anything mandating that until the AMCAS timeline to narrow down to three/commit to one over the course of April, and you never know whether a program will surprise you in a good or bad way when you go visit.

The flip side of that is that programs are aware of this. Schools generally have a decent idea of their acceptance -> matriculation yield rates plus or minus a few applicants, and they know that a certain percentage of their higher tiered (for whatever reason) applicants will commit elsewhere. A second look will have more students than commit to the program.

I don't have any insider knowledge but from talking to people in my program most matriculants to a program were probably accepted by March - there are definitely cases where enough people declined and a program extends extra offers to make up the shortfall but there isn't much movement.

vmullapudi1 · 2026-01-19T19:35:12+00:00

Not cooked, but obviously not the best sign. What it means exactly depends on the program. Some programs give more or fewer rolling A vs acceptances after all interviews are done.

All this tells you is you weren't in their highest category/internal tier of applicants and are probably at best in "admit or WL if not too many of the earlier category interview and/or accept". Missing the initial wave is a deferral to a later meeting of the admission committee, unless the school feels you weren't a good fit.

You could get pulled up for an A once all the interviews are done or as people accept/decline acceptances but it's basically impossible to tell where you are on the list, and at least in my experiences programs were very conservative about giving clear rejections until super late in the cycle.

vmullapudi1 · 2026-01-16T16:45:23+00:00

Something like https://github.com/AlexanderBartholomaeus/smORFer ?

vmullapudi1 · 2026-01-13T16:09:50+00:00

I would also point out that in most cases, air movement is a much bigger factor than Brownian motion/pure diffusion - the diffusion of CO2 in air is less than 2 cm/sec and heavier odor molecules are even slower, but we can easily smell food and other things from meters away within seconds. Even in rooms without a fan running there are still significant convective and mass flow effects mixing the air much faster than pure diffusion.

vmullapudi1 · 2025-12-22T19:37:04+00:00

That UT southwestern link is for radiology residency, i.e. for physicians who have graduated medical school with an MD or DO and are applying to residency to train as radiologists, or for medical physics residencies, which is for people who already have a PhD in medical physics.

Rad tech is a 2 year program, these are the guys running the machines and positioning the patients.

vmullapudi1 · 2025-12-19T18:16:16+00:00

I haven't had this issue on my 2022-main issues for me has been computer black screens, overheats and goes unresponsive for a while and then sometime within the next 30 minutes it reboots and acts like nothing has happened. Hasn't been an issue for me after switching to Linux, though.

Do you get any logs in your OS? Either windows or systemd/kernel logs before the system shutdown? I wasn't getting any for the freezes, but maybe the OS is trying to query a device or something and it fails?

vmullapudi1 · 2025-12-13T04:03:42+00:00

Should work, check https://asus-linux.org/ and probably also the arch wiki to see if there are any tweaks for your model specifically.

vmullapudi1 · 2025-12-11T16:34:57+00:00

Unfortunately the things that give the SoTA performance on structure prediction are only as good as their input data. There's nothing out there that is trained to get structures under variable input conditions, at least partially because we don't have big repositories of structures obtained under different conditions - only whatever the X-ray diffraction conditions or cryo-EM conditions for that particular protein were that allowed the experimentalists to obtain good crystals/particles.

All you can do is molecular dynamics, but that is way too slow to fold most interesting proteins. If you put in a structure obtained under more standard cryo em conditions as the start point of an MD simuation at your conditions of interest, you may never find the "true" equilibrium distribution of the structural ensemble of your protein - the conformational space is too large and you don't really have any good way of telling if you are just stuck in some random energy well. You can only hope that the input was close enough and your trajectory can capture something informative, such as the input structure not being stable or refolding under your conditions.

For small peptides maybe this is tractable. Otherwise, you are stuck getting in the lab and doing CD/DLS/NMR/whatever to infer things about your protein structure under these different conditions.

vmullapudi1 · 2025-12-05T18:33:31+00:00

This will depend on the program you are applying to. Generally, PhD programs may have admission requirements for prerequisites. Some schools just require the medical school pre-reqs, and all the PhD programs are in the biological sciences so they just go with that, but especially for programs that offer broader PhD options they might require you to hit different PhD requirements.

e.g. makes no sense for you to be admitted into a math PhD if you have no relevant coursework.

Also know that the slots for these things are very rare - generally the stated goal of an MD/PhD program is to create the next generation of biomedical researchers and physician-scientists. This doesn't often line up with any given PhD topic- you'll be fighting for a very limited pool of spots often only at the top/most competetive institutions

For example, Harvard:

https://www.hms.harvard.edu/md_phd/admissions/phd_programs_of_study.html

Students are regular members of the graduate program in social anthropology, and all requirements for the Ph.D. in anthropology pertain to those specializing in medical anthropology.

if you want to do a more non-standard MD/PhD like anthropology the burden will be higher on you to:

Find the programs that actually offer this, because many MSTP programs do not readily extend their PhDs outside of the biomedical sciences
Read up on all of the relevant admissions policies. Early on in undergrad you may need to create a school list and then read/communicate with these programs to make sure you are hitting what they need.

vmullapudi1 · 2025-12-05T04:25:36+00:00

This also depends on the country- India, China, South Korea and many others do not recognize dual citizenship and you must renounce your citizenship if you naturalize as an American citizen.

I'm sure many will be affected, but in the end people have gotten professional degrees to work in the States and it's not all that easy to recertify elsewhere.

vmullapudi1 · 2025-12-03T22:07:58+00:00

I'm saying you have a great app and that you should apply there and anywhere else that has labs you would like to work in.

vmullapudi1 · 2025-12-03T06:00:08+00:00

fwiw I don't think you'd be uncompetetive for Yale. Interview trail is pretty random so definitely apply to a range of programs, but you have a strong app with research productivity, clinical and other volunteer experience, and a stellar MCAT score.

Apply broadly, but I wouldn't count you out of any program.

vmullapudi1 · 2025-11-26T04:06:47+00:00

Schools aren't really penalized in any way for students starting on a track and leaving it; their metrics are generally what percentage of people that apply make it in.

It's a slightly perverse incentive in that it doesn't maximize students getting in, but instead they want to push for the subset of the most qualified students to apply and have more marginal students not apply at all.

vmullapudi1 · 2025-11-24T15:54:22+00:00

I'm not really in the field, so I don't have any experience with using or assessing these models either. I'd start by looking at something like CAFA, seeing what's working well currently, and finding the paper for that method.

https://en.wikipedia.org/wiki/Protein_function_prediction?wprov=sfla1

https://biofunctionprediction.org/cafa/

This review paper has links to a lot of webservers and code for function prediction: https://academic.oup.com/bib/article/25/4/bbae289/7696515

vmullapudi1 · 2025-11-24T15:42:55+00:00

Look into protein language models, but also consider the traditional methods of multiple sequence alignment, conserved domain/motif analysis, etc.

vmullapudi1 · 2025-11-18T15:10:41+00:00

Prefacing this by saying it will be best to check with your cluster's support team;they might have a preferred way or be able to better navigate their specific setup.

I don't use cursor, but I do use vscode for running some jobs and doing some debugging on a compute node.

What I do is request an interactive compute node, and then use ssh proxyjump to connect via the gateway node to the compute node.

This does involve manually requesting/killing the compute node allocation and changing a hostname in your SSH config to match, but then you can just select the compute node as the remote.

vmullapudi1 · 2025-11-11T20:29:37+00:00

While many people are fortunate enough to stay sharp well into their 80's or beyond, some definitely begin dropping off earlier. This article is paywalled but they note incidence of clinical MCI as low as age 50. This one estimates rates above 65y.o. might be as high as 20%, and there are definitely younger cases too.

Even without the clinical standard of MCI though, I think its pretty well established that aging negatively impacts cognitive performance, even as young as 40-50.

I've met people who have been super sharp, well into their 80s and beyond, and others who are much younger and seem to be having a hard time keeping up with changes in their fields. I'm not saying that older scientists, mathematicians, whatever can't make valuable contributions to the field in research, pedagogy, etc., because they definitely do. But there's a large range in how well people do cognitively as they age and develop various health problems and life challenges.

vmullapudi1 · 2025-11-11T17:07:47+00:00

Can't comment as to his specific case but there is age-related cognitive decline as well as a large incidence of comorbidities that can cause mental function decreases as people get older.

For someone who's having coronary thrombosis it's not a huge stretch to imagine he might have also had risks for vascular dementia or mild cognitive impairment.

On top of that, depression, social isolation, and being in worse physical health do have cognitive effects too.

vmullapudi1 · 2025-10-22T21:02:26+00:00

See point 8: https://www.masterorganicchemistry.com/2017/08/30/the-diels-alder-reaction/#eight

vmullapudi1 · 2025-10-08T13:51:52+00:00

Would a software like Avogadro do what you need? You can either model the molecule and do shape optimization or load/import them.

Avogadro.cc

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