Tv time show OcxCanon
#dlrn #deltarune #spamtenna #tenna #deltaruneau #deltarunetenna #spamtongspamton #undertale #addisonspamton #undertaledeltarune #selfship #selfcare #selfinsert #ocdeltarune #Ocxcanon
#dlrn #deltarune #spamtenna #tenna #deltaruneau #deltarunetenna #spamtongspamton #undertale #addisonspamton #undertaledeltarune #selfship #selfcare #selfinsert #ocdeltarune #Ocxcanon
January 13, 2026 at 2:04 AM
AAAAAAA PPOLTOY DLRN MANTIS GIRL!!!!! IM SCREAMINGGGGFF
July 1, 2026 at 12:21 PM
AAAAAAA PPOLTOY DLRN MANTIS GIRL!!!!! IM SCREAMINGGGGFF
Our "Deep Learning Reaction Framework (DLRN) for kinetic modeling of time-resolved data" #machinelearning #CRN #systemschemistry A thread to explain:
www.nature.com/articles/s42...
www.nature.com/articles/s42...
Deep Learning Reaction Framework (DLRN) for kinetic modeling of time-resolved data - Communications Chemistry
Building kinetic models from time-resolved data can be challenging due to the presence of unknown intermediate states. Here, the authors introduce a deep- learning-based framework that provides a kine...
www.nature.com
May 16, 2025 at 5:55 AM
Our "Deep Learning Reaction Framework (DLRN) for kinetic modeling of time-resolved data" #machinelearning #CRN #systemschemistry A thread to explain:
www.nature.com/articles/s42...
www.nature.com/articles/s42...
Incidentally, you may not know this, but I wrote this piece in 2015 which is credited with launching the digital gardens movement hapgood.us/2015/10/17/t...
The Garden and the Stream: A Technopastoral
Opening keynote for dLRN 2015. Delivered October 16th @ Stanford. Actual keynote may have gone on significant tangents… 1 | a year in the garden A week or so ago, I was reading about the Oreg…
hapgood.us
December 6, 2025 at 7:14 PM
Incidentally, you may not know this, but I wrote this piece in 2015 which is credited with launching the digital gardens movement hapgood.us/2015/10/17/t...
DLRN beats or matches classical fitting methods—without needing prior model assumptions.
It successfully decoded complex dynamics in:
transient absorption spectra,
DNA strand displacement circuits,
NV-center photoluminescence,
and even multi-scale kinetics split over ns to ms.
It successfully decoded complex dynamics in:
transient absorption spectra,
DNA strand displacement circuits,
NV-center photoluminescence,
and even multi-scale kinetics split over ns to ms.
May 16, 2025 at 5:55 AM
DLRN beats or matches classical fitting methods—without needing prior model assumptions.
It successfully decoded complex dynamics in:
transient absorption spectra,
DNA strand displacement circuits,
NV-center photoluminescence,
and even multi-scale kinetics split over ns to ms.
It successfully decoded complex dynamics in:
transient absorption spectra,
DNA strand displacement circuits,
NV-center photoluminescence,
and even multi-scale kinetics split over ns to ms.
How does DLRN work?
DLRN is a deep neural network trained on synthetic time-resolved data. Given experimental input (like spectra or gel electrophoresis images), it identifies the most probable reaction scheme out of 100+ possible models.
DLRN is a deep neural network trained on synthetic time-resolved data. Given experimental input (like spectra or gel electrophoresis images), it identifies the most probable reaction scheme out of 100+ possible models.
May 16, 2025 at 5:55 AM
How does DLRN work?
DLRN is a deep neural network trained on synthetic time-resolved data. Given experimental input (like spectra or gel electrophoresis images), it identifies the most probable reaction scheme out of 100+ possible models.
DLRN is a deep neural network trained on synthetic time-resolved data. Given experimental input (like spectra or gel electrophoresis images), it identifies the most probable reaction scheme out of 100+ possible models.
📢 New article in #InsightsintoImaging
Researchers developed a CT-based Deep Learning Radiomics Nomogram (DLRN) to predict early recurrence of hepatocellular carcinoma (HCC) after liver transplantation.
Researchers developed a CT-based Deep Learning Radiomics Nomogram (DLRN) to predict early recurrence of hepatocellular carcinoma (HCC) after liver transplantation.
October 13, 2025 at 12:03 PM
📢 New article in #InsightsintoImaging
Researchers developed a CT-based Deep Learning Radiomics Nomogram (DLRN) to predict early recurrence of hepatocellular carcinoma (HCC) after liver transplantation.
Researchers developed a CT-based Deep Learning Radiomics Nomogram (DLRN) to predict early recurrence of hepatocellular carcinoma (HCC) after liver transplantation.
The DLRN returns:
1. the kinetic reaction network (who reacts with whom),
2. time constants for each step,
3. and species-associated spectra or amplitudes.
1. the kinetic reaction network (who reacts with whom),
2. time constants for each step,
3. and species-associated spectra or amplitudes.
May 16, 2025 at 5:55 AM
The DLRN returns:
1. the kinetic reaction network (who reacts with whom),
2. time constants for each step,
3. and species-associated spectra or amplitudes.
1. the kinetic reaction network (who reacts with whom),
2. time constants for each step,
3. and species-associated spectra or amplitudes.
Kyllä on joo. Koskaan en oo ite muutenkaan DLRn saundista tykännyt ja Hagar taas on erittäin kova laulaja kaikin puolin.
November 29, 2023 at 11:43 AM
Kyllä on joo. Koskaan en oo ite muutenkaan DLRn saundista tykännyt ja Hagar taas on erittäin kova laulaja kaikin puolin.
Especially with the RSS changes! Embrace your stream!
The Garden and the Stream: A Technopastoral
Opening keynote for dLRN 2015. Delivered October 16th @ Stanford. Actual keynote may have gone on significant tangents... 1 | a year in the garden A week or so ago, I was reading about the Oregon shoo...
hapgood.us
December 20, 2023 at 8:02 PM
Especially with the RSS changes! Embrace your stream!
🔹 Two-center study, n=245
🔹 AUC: 0.884 (training), 0.829 (validation)
🔹 High DLRN score → 16.3× higher relapse risk (p<0.001)
🔹 Best prediction when combined with Metro-Ticket 2.0 (AUC: 0.936/0.863) (Ziqian Wu et al.)
insightsimaging.springeropen.com/articles/10....
🔹 AUC: 0.884 (training), 0.829 (validation)
🔹 High DLRN score → 16.3× higher relapse risk (p<0.001)
🔹 Best prediction when combined with Metro-Ticket 2.0 (AUC: 0.936/0.863) (Ziqian Wu et al.)
insightsimaging.springeropen.com/articles/10....
Augmenting conventional criteria: a CT-based deep learning radiomics nomogram for early recurrence risk stratification in hepatocellular carcinoma after liver transplantation - Insights into Imaging
Background We developed a deep learning radiomics nomogram (DLRN) using CT scans to improve clinical decision-making and risk stratification for early recurrence of hepatocellular carcinoma (HCC)…
insightsimaging.springeropen.com
October 13, 2025 at 12:03 PM
🔹 Two-center study, n=245
🔹 AUC: 0.884 (training), 0.829 (validation)
🔹 High DLRN score → 16.3× higher relapse risk (p<0.001)
🔹 Best prediction when combined with Metro-Ticket 2.0 (AUC: 0.936/0.863) (Ziqian Wu et al.)
insightsimaging.springeropen.com/articles/10....
🔹 AUC: 0.884 (training), 0.829 (validation)
🔹 High DLRN score → 16.3× higher relapse risk (p<0.001)
🔹 Best prediction when combined with Metro-Ticket 2.0 (AUC: 0.936/0.863) (Ziqian Wu et al.)
insightsimaging.springeropen.com/articles/10....
Just out: Deep Learning Reaction Framework (DLRN) for kinetic modeling of time-resolved data
Deep Learning Reaction Framework (DLRN) for kinetic modeling of time-resolved data
Communications Chemistry, Published online: 15 May 2025; doi:10.1038/s42004-025-01541-yBuilding kinetic models from time-resolved data can be challenging due to the presence of unknown intermediate states. Here, the authors introduce a deep- learning-based framework that provides a kinetic reaction network and outperforms conventional fitting in determining time constants and amplitude parameters.
bit.ly
May 15, 2025 at 5:17 PM
Just out: Deep Learning Reaction Framework (DLRN) for kinetic modeling of time-resolved data
Have you read hapgood.us/2015/10/17/t... ?
The Garden and the Stream: A Technopastoral
Opening keynote for dLRN 2015. Delivered October 16th @ Stanford. Actual keynote may have gone on significant tangents… 1 | a year in the garden A week or so ago, I was reading about the Oreg…
hapgood.us
May 8, 2026 at 9:00 PM
Have you read hapgood.us/2015/10/17/t... ?
Making sense of time-resolved chemistry w/ AI
Chemical reactions often unfold over many time scales w/ hidden intermediates. Traditionally, extracting the kinetic model requires lots of assumptions and trial-and-error modeling. DLRN can predict the reaction network, time constants, and amplitudes
Chemical reactions often unfold over many time scales w/ hidden intermediates. Traditionally, extracting the kinetic model requires lots of assumptions and trial-and-error modeling. DLRN can predict the reaction network, time constants, and amplitudes
May 16, 2025 at 5:55 AM
Making sense of time-resolved chemistry w/ AI
Chemical reactions often unfold over many time scales w/ hidden intermediates. Traditionally, extracting the kinetic model requires lots of assumptions and trial-and-error modeling. DLRN can predict the reaction network, time constants, and amplitudes
Chemical reactions often unfold over many time scales w/ hidden intermediates. Traditionally, extracting the kinetic model requires lots of assumptions and trial-and-error modeling. DLRN can predict the reaction network, time constants, and amplitudes
I'm going to agree with you very narrowly that I don't like the website either, and I also think the common think tank practice of making new reports but not updating old reports is wrong, but I mean this in the sense of hapgood.us/2015/10/17/t... which makes me a rare crank on this subject
The Garden and the Stream: A Technopastoral
Opening keynote for dLRN 2015. Delivered October 16th @ Stanford. Actual keynote may have gone on significant tangents… 1 | a year in the garden A week or so ago, I was reading about the Oreg…
hapgood.us
March 15, 2026 at 9:49 PM
I'm going to agree with you very narrowly that I don't like the website either, and I also think the common think tank practice of making new reports but not updating old reports is wrong, but I mean this in the sense of hapgood.us/2015/10/17/t... which makes me a rare crank on this subject
🔹 Best model uses intratumoral + 5-mm peritumoral region
🔹 AUC up to 0.958 (training), 0.906 (internal validation), 0.876–0.911 (external)
🔹 Outperforms clinical model
link.springer.com/article/10.1... (Weiyue Chen et al.)
🔹 AUC up to 0.958 (training), 0.906 (internal validation), 0.876–0.911 (external)
🔹 Outperforms clinical model
link.springer.com/article/10.1... (Weiyue Chen et al.)
Multiregional MRI-based deep learning radiomics to predict axillary response after neoadjuvant chemotherapy in breast cancer patients - Insights into Imaging
Objectives This study was designed to develop a multiregional MRI-based deep learning radiomics nomogram (DLRN) for predicting axillary pathological complete response (apCR) after neoadjuvant…
link.springer.com
February 13, 2026 at 1:01 PM
🔹 Best model uses intratumoral + 5-mm peritumoral region
🔹 AUC up to 0.958 (training), 0.906 (internal validation), 0.876–0.911 (external)
🔹 Outperforms clinical model
link.springer.com/article/10.1... (Weiyue Chen et al.)
🔹 AUC up to 0.958 (training), 0.906 (internal validation), 0.876–0.911 (external)
🔹 Outperforms clinical model
link.springer.com/article/10.1... (Weiyue Chen et al.)
I’m following technopastoralism metaphors here — digital gardening. My daily journal is the stream. My notes are the garden. My blog posts are the campfire. Its all indieweb concepts
The Garden and the Stream: A Technopastoral
Opening keynote for dLRN 2015. Delivered October 16th @ Stanford. Actual keynote may have gone on significant tangents... 1 | a year in the garden A week or so ago, I was reading about the Oregon shoo...
hapgood.us
January 2, 2024 at 11:01 PM
I’m following technopastoralism metaphors here — digital gardening. My daily journal is the stream. My notes are the garden. My blog posts are the campfire. Its all indieweb concepts
My new obsession: digital gardens and finding the balance between building long‑term knowledge online vs. only participating in the day‑to‑day stream. This article really got me thinking: hapgood.us/2015/10/17/t...
#archive #tech #digitalgarden
#archive #tech #digitalgarden
The Garden and the Stream: A Technopastoral
Opening keynote for dLRN 2015. Delivered October 16th @ Stanford. Actual keynote may have gone on significant tangents… 1 | a year in the garden A week or so ago, I was reading about the Oreg…
hapgood.us
August 20, 2026 at 8:14 PM
My new obsession: digital gardens and finding the balance between building long‑term knowledge online vs. only participating in the day‑to‑day stream. This article really got me thinking: hapgood.us/2015/10/17/t...
#archive #tech #digitalgarden
#archive #tech #digitalgarden
Released in theaters today, August 19, 1983
Easy Money
Starring Rodney Dangerfield, Joe Pesci, Geraldine Fitzgerald, Candy Azzara, Jennifer Jason Leigh
Box office $29.3 million
www.youtube.com/watch?v=dLrn...
It's Easy to hear "The Very Best of the 80s" at www.Gnarly101.com
Easy Money
Starring Rodney Dangerfield, Joe Pesci, Geraldine Fitzgerald, Candy Azzara, Jennifer Jason Leigh
Box office $29.3 million
www.youtube.com/watch?v=dLrn...
It's Easy to hear "The Very Best of the 80s" at www.Gnarly101.com
Easy Money Official Trailer #1 - Val Avery Movie (1983) HD
YouTube video by Rotten Tomatoes Classic Trailers
www.youtube.com
August 19, 2026 at 5:21 PM
Released in theaters today, August 19, 1983
Easy Money
Starring Rodney Dangerfield, Joe Pesci, Geraldine Fitzgerald, Candy Azzara, Jennifer Jason Leigh
Box office $29.3 million
www.youtube.com/watch?v=dLrn...
It's Easy to hear "The Very Best of the 80s" at www.Gnarly101.com
Easy Money
Starring Rodney Dangerfield, Joe Pesci, Geraldine Fitzgerald, Candy Azzara, Jennifer Jason Leigh
Box office $29.3 million
www.youtube.com/watch?v=dLrn...
It's Easy to hear "The Very Best of the 80s" at www.Gnarly101.com
虽然但是，dlrn真的很好吃啊……
不仅是情人节，gta也卖的好大
就算知道是演戏但这也演的太过了吧
gta那个剧情真的很让人泪目啊
德龙你这个罪孽深重的女人不仅有多个女人还有多个男人吗（
不仅是情人节，gta也卖的好大
就算知道是演戏但这也演的太过了吧
gta那个剧情真的很让人泪目啊
德龙你这个罪孽深重的女人不仅有多个女人还有多个男人吗（
July 18, 2026 at 3:19 PM
虽然但是，dlrn真的很好吃啊……
不仅是情人节，gta也卖的好大
就算知道是演戏但这也演的太过了吧
gta那个剧情真的很让人泪目啊
德龙你这个罪孽深重的女人不仅有多个女人还有多个男人吗（
不仅是情人节，gta也卖的好大
就算知道是演戏但这也演的太过了吧
gta那个剧情真的很让人泪目啊
德龙你这个罪孽深重的女人不仅有多个女人还有多个男人吗（
een goed gereformeerde preek heeft drie punten, met een toepassing. Een wijze persoon schreef in 2015(?) een blog over 'The Garden and the Stream'. hapgood.us/2015/10/17/t...
The Garden and the Stream: A Technopastoral
Opening keynote for dLRN 2015. Delivered October 16th @ Stanford. Actual keynote may have gone on significant tangents… 1 | a year in the garden A week or so ago, I was reading about the Oreg…
hapgood.us
October 13, 2025 at 5:00 PM
een goed gereformeerde preek heeft drie punten, met een toepassing. Een wijze persoon schreef in 2015(?) een blog over 'The Garden and the Stream'. hapgood.us/2015/10/17/t...