Results 81 to 90 of about 438,874 (275)

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

On Gibbsianness of Random Fields [PDF]

, 2009
International audienceThe problem of characterization of Gibbs random fields is considered. Various Gibbsianness criteria are obtained using the earlier developed one-point framework which in particular allows to describe random fields by means of either
Dachian, Serguei, Nahapetian, Boris
core   +1 more source

GATA4‐Driven Transcription of HtrA1 Promotes Cellular Senescence in Ménière's Disease and Age‐Related Audio‐Vestibular Dysfunction

Advanced Science, EarlyView.
This study identifies the HDAC6/GATA4/HtrA1 axis as a critical driver of cellular senescence in the inner ear. GATA4 nuclear translocation, facilitated by HDAC6 downregulation, transcriptionally activates HtrA1, promoting hair cell senescence, SASP, and audio‐vestibular dysfunction in models of Ménière's disease and age‐related audio‐vestibular ...
Na Zhang, Na Li, Yan Wang, Jing Zhang, Jiahui Liu, Lei Chen, Yongdong Song, Yurong Mu, Yuechen Han, Yafeng Lyu, Xiaofei Li, Hanyue Wang, Jing Wang, Yao Lu, Zhaomin Fan, Daogong Zhang, Haibo Wang   +16 more
wiley   +1 more source

Gut Mycobiota‐Associated Tryptophan Catabolites Protect Against Metabolic Dysfunction‐Associated Steatotic Liver Disease

Advanced Science, EarlyView.
ABSTRACT Accumulating evidence suggests that the intestinal microbiota participates in the progression of metabolic dysfunction‐associated steatotic liver disease (MASLD) through microbiota‐host interaction. However, the beneficial role of commensal mycobiota in MASLD progression remains poorly understood.
Shuping Qiao, Shuangya Fan, Juan Xu, Zhen Xu, Chen Peng, Junxing Qu, Ziqian Bing, Shizhen Zhou, Sunan Shen, Guifang Xu, Yue Zhao, Tingting Wang   +11 more
wiley   +1 more source

Rare-event Simulation and Efficient Discretization for the Supremum of Gaussian Random Fields [PDF]

, 2013
In this paper, we consider a classic problem concerning the high excursion probabilities of a Gaussian random field $f$ living on a compact set $T$.
Li, Xiaoou, Liu, Jingchen
core  

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Locally Shared Features: An Efficient Alternative to Conditional Random Field for Semantic Segmentation

IEEE Access, 2019
In recent years, semantic segmentation methods based on fully convolutional networks (FCNs) have achieved great success. However, these methods tend to produce inconsistency and isolated class labels, mainly because the end-to-end mapping of FCN ...
Zhengeng Yang, Hongshan Yu, Wei Sun, Zhihong Mao, Mingui Sun   +4 more
doaj   +1 more source

How non-Gibbsianness helps a metastable Morita minimizer to provide a stable free energy [PDF]

, 2004
We analyze a simple approximation scheme based on the Morita-approach for the example of the mean field random field Ising model where it is claimed to be exact in some of the physics literature.
Kuelske, Christof
core   +2 more sources

Peaks and dips in Gaussian random fields: a new algorithm for the shear eigenvalues, and the excursion set theory

, 2013
We present a new algorithm to sample the constrained eigenvalues of the initial shear field associated with Gaussian statistics, called the `peak/dip excursion-set-based' algorithm, at positions which correspond to peaks or dips of the correlated density
Rossi, Graziano
core   +3 more sources

Fibronectin1‐Expressing Subicular Circuits Selectively Govern the Retrieval of Novel Object Recognition

Advanced Science, EarlyView.
Fibronectin 1 (FN1)‐expressing subicular subpopulations encode novel object preference and selectively govern retrieval of novel object recognition (NOR) via affecting excitability of entorhinal‐projecting circuit through large conductance Ca2+‐activated potassium (BK) channel. ABSTRACT Novel object recognition (NOR), referring to the cognitive ability
Fan Fei, Jiaying Shi, Jing Xi, Yixiang Xu, Shuye Ying, Xukun Fan, Wangjialu Lu, Zhisheng Li, Menghan Li, Yu Wang, Li Cheng, Lin Yang, Lingyu Xu, Zhong Chen, Cenglin Xu, Yi Wang   +15 more
wiley   +1 more source