Results 71 to 80 of about 12,738,743 (318)
Liver organoids: modelling complexity in homeostasis and disease
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
Pathwise inequalities for local time : applications to skorokhod embeddings and optimal stopping [PDF]
We develop a class of pathwise inequalities of the form H(B-t) >= M-t + F(L-t), where B-t is Brownian motion, L-t its local time at zero and M-t a local martingale.
Hobson, David (David G.) +9 more
core +1 more source
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
In software engineering, deep learning models are increasingly deployed for critical tasks such as bug detection and code review. However, overfitting remains a challenge that affects the quality, reliability, and trustworthiness of software systems that
Hao Li +4 more
doaj +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Improved Sequential Stopping Rule for Monte Carlo Simulation [PDF]
This letter presents an improved result on the negative-binomial Monte Carlo technique analyzed in a previous paper (L. Mendo and J. M. Hernando, ``A simple sequential stopping rule for Monte Carlo simulation,'' IEEE Trans. Commun., vol. 54, no.
Hernando Rábanos, José María +1 more
core +1 more source
The statistical complexity of early-stopped mirror descent
AbstractRecently there has been a surge of interest in understanding implicit regularization properties of iterative gradient-based optimization algorithms. In this paper, we study the statistical guarantees on the excess risk achieved by early-stopped unconstrained mirror descent algorithms applied to the unregularized empirical risk.
Kanade, V +2 more
openaire +7 more sources
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
Stopping games: recent results [PDF]
We survey recent results on the existence of the value in zero-sum stopping games with discrete and continuous time, and on the existence of e-equilibria in non zero-sum games with discrete time.stopping games; stochastic games ...
VIEILLE, Nicolas, SOLAN, Eilon
core +2 more sources
Early-Stopping Dynamics for Out-of-Distribution Detection in Tree Ensembles
Tree ensembles remain a popular choice for tabular learning tasks and are frequently deployed in latency-sensitive settings. Recently, instance-adaptive “lazy” ensemble evaluation has enabled early stopping by terminating inference once the
Sooyoung Jang, Eunkyung Kim
doaj +1 more source
Early Stopping without a Validation Set
16 pages, 10 ...
Maren Mahsereci +3 more
openaire +3 more sources

