Wish I’d seen this when solving Advent of Code 2025 day 10 part 2
I just completed all 12 days of Advent of Code 2025! #AdventOfCode adventofcode.com
![library(memoise)
map2 <- memoise(function(start,end,G){
x=neighbors(G,start,mode="out")
if(length(x)==0){return(0)}
if(end%in%names(x)){return(1)}
else{
m=0
for(i in 1:length(x)){
m=m+map2(x[i],end,G)
}
return(m)}
}
)
map2("svr","fft",G11)*map2("fft","dac",G11)*map2("dac","out",G11)](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:hreraqhwpsxc3irhylmi6344/bafkreibr7zj4nuocxgpqow6tuuascpohxkxot4adrympzftyoldy77xwja)
No pruning required! Recursively count neighbours of each vertex in the directed graph until you get to your target vertex (count 1) or the end of the road (count 0) with memoisation. See alt text
I've completed "Movie Theater" - Day 9 - Advent of Code 2025 #AdventOfCode adventofcode.com/2025/day/9
I'm convinced this is an elaborate Star Wars joke. Impossible objective? Movie Theatre? Turn off the targeting computer & 'use the force' to shoot the end of the 'Death Star Trench Run' @was.tl
Yes part 2 is actually solvable by hand with a print out! Perhaps this hard problem has a ‘thermal exhaust port’…
I cheated with memoise 😉 - However the R solution from @thoughtfulnz.bsky.social is much more elegant.
Speeds up 20-fold by only checking locations with paper rolls
#Part2
x1 <- x
x2 <- x-x
repeat{
p <- which(x1==1, arr.ind = T)
for(i in 1:nrow(p)){
x2[p[i,,drop=F]]=as.numeric(sum(x1[(p[i,1]-1):(p[i,1]+1),(p[i,2]-1):(p[i,2]+1)])>4)}
if(sum(x1)==sum(x2)){break()}
x1 <- x2
x2 <- x2-x2}
sum(x)-sum(x1)
#Part1
input_d4 |> read_lines()|> str_split("",simplify=T)
x <- x=="@"
x=cbind(rep(0,nrow(x)),x,rep(0,nrow(x)))
x=rbind(rep(0,ncol(x)),x,rep(0,ncol(x)))
p <- which(x==1, arr.ind = T)
tot <- 0
for(i in 1:nrow(p)){
tot <- tot+(sum(x[(p[i,1]-1):(p[i,1]+1),(p[i,2]-1):(p[i,2]+1)])<5)}
tot
A brief history of the discovery of the immunoglobulins and the origin of the modern immunoglobulin nomenclature
onlinelibrary.wiley.com/doi/epdf/10....
After 14 days in ICU eGFR or eCrCl will over estimate true GFR more than TWO-fold yet they are still often quoted as guides to drug dosing!
Please consider joining this exciting and cutting edge course in intensive care nephrology in person at ESICM Lives 2025 with a superb international faculty.
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Please join our ESICM AKI section webinar tomorrow
Intensive Care Nephrology: building future progress on a legacy of success
11 SEPTEMBER 2025. 16:00 - 17:00 CEST and available online on the ESICM website
www.esicm.org/new-webinar-...
European Society of Intensive Care Medicine - ESICM
As intravenous fluids are rapidly lost to the interstitial space any affect on cardiac output and GFR will be very transient…
However creatinine concentration decrease reduces its excretion for any fixed GFR causing loss of steady state and rapid accumulation of creatinine in the expanded volume until concentration is normalized and steady state is regained. This can be easily modeled and takes a few hours at most.
A great honour to contribute to this article celebrating the inspirational scientific contributions of Rinaldo Bellomo. rdcu.be/epoBg
Support a QMUL international Critical Care Master's student in our survey on international practices in acute renal replacement therapy!
forms.office.com/e/PEWXmRN9h0
Interested or confused by acid-base physiology in the ICU? Please participate a short online survey for healthcare professionals and students: “Clinical Approaches to Acid-Base Disorders” and support an critical care MSc student project.
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It’s a time of great personal sadness for me personally and across the intensive care community. Remembering the great and ongoing legacy of Rinaldo Bellomo as well as his great friendship and mentorship. www.esicm.org/obituary-rin...
Also our good friend the Canadian Intensivist!!
I’m no expert in this area but this is a good start I think: www.kireports.org/article/S246...
What about hyponatraemia in chronic dialysis patients? - common and impactful - mostly but not exclusively due to fluid overload??
Incredibly valuable approach. I’m interested in ordinal longitudinal outcomes based on an organ failure score - ie where there might be more than one way to achieve the same level. Can this approach be applied to this type of ordinal outcome variable?
So what you need to model is an interaction term between age and eGFR with eGFR fitted to a spline (ie rcs). If you use creatinine then you would do the same but an interaction with sex would also be needed!
That is an eGFR of 100 at age 20y equates lowest risk but at 75y this would equate to sarcopenia and the nadir of risk might be eGFR 70.
A good question John and one I’ve looked at previously. eGFR (and creatinine) has a u-shaped relationship with risk of death - the minima of this risk profile varies with age.
World Kidney Day 2025 & Intensive Care Nephrology: Listen to our discussion and reflections from the European Society of Intensive Care Medicine Acute Kidney Injury Section. youtu.be/trX8Zpq_l60
In another thought differentiating urinoma as a cause of a post-transplant collection in the context of severe DGF (ATN) can’t be reliably made based on fluid biochemistry as composition of urine CAN be similar to plasma
