Results 71 to 80 of about 388,083 (283)

Maximizing the Conditional Expected Reward for Reaching the Goal

, 2017
The paper addresses the problem of computing maximal conditional expected accumulated rewards until reaching a target state (briefly called maximal conditional expectations) in finite-state Markov decision processes where the condition is given as a ...
C Acerbi, C Baier, C Baier, C Baier, DP Bertsekas, F Gretz, G Barthe, G Seber, J-P Katoen, K Chatterjee, K Chatzikokolakis, L Alfaro, L Kallenberg, M Kwiatkowska, M Randour, ME Andrés, ME Andrés, ML Puterman, MS Alvim, T Brázdil   +19 more
core   +1 more source

RETREG1‐Mediated Reticulophagy is Essential for Dendritic Cell Maturation and Function in Sepsis

Advanced Science, EarlyView.
Reticulophagy regulator 1 (RETREG1) maintains dendritic cell (DC) maturation and function in early sepsis. Mechanistically, activating transcription factor 6 (ATF6) acts as a direct transcription factor regulating RETREG1 expression in response to sepsis‐induced endoplasmic reticulum (ER) stress.
Ren‐Qi Yao, Chao Ren, Li‐Yu Zheng, Jing‐Yan Li, Wen‐Feng Wu, Yu‐Xuan Li, Li‐Xue Wang, Yu Duan, Lu Wang, Shuang‐Qing Liu, Peng‐Yi He, Peng‐Yue Zhao, Sen Tong, Zhi‐Xuan Li, Tuo Zhang, Meng‐Yao Wu, Shu‐Ting Wei, Ning Dong, Yao Wu, Hui Zhang, Xiao‐Mei Zhu, Zi‐Cheng Zhang, Guo‐Sheng Wu, Zhao‐Fan Xia, Xiao‐Hui Du, Hong‐Jun Kang, Zui Zou, Dao‐Lin Tang, Yong‐Ming Yao   +28 more
wiley   +1 more source

Updating Non-Additive Probabilities -- A Geometric Approach [PDF]

A geometric approach, analogous to the approach used in the additive case, is proposed to determine the conditional expectation with non- additive probabilities.
Ehud Lehrer
core  

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

New Lagrange Multipliers for the Blind Adaptive Deconvolution Problem Applicable for the Noisy Case

Entropy, 2016
Recently, a new blind adaptive deconvolution algorithm was proposed based on a new closed-form approximated expression for the conditional expectation (the expectation of the source input given the equalized or deconvolutional output) where the output ...
Monika Pinchas
doaj   +1 more source

DCAF13 Safeguards Hematopoietic Stem Cells via RRS1‐Regulated Ribosome Biogenesis

Advanced Science, EarlyView.
This study establishes DCAF13 as an essential regulator for hematopoietic stem cell (HSC) function. Its deletion in mice causes lethal pancytopenia and HSC depletion. Mechanistically, DCAF13 interacts with RRS1 and mediates its non‐degradative K27‐linked ubiquitination, thereby stabilizing RRS1 to maintain ribosome biogenesis and protein translation ...
Mengke Li, Yuxin Wu, Shuai Zhou, Peipei Tang, Jiaming Wei, Ling Liu, Zhenyi Wang, Deyang Shi, Shengnan Yuan, Qingyu Zhang, Shihui Wang, Qing Zhang, Huan Zhao, Rui Zhang, Yingying Wang, Shiwei Yang, Xiangli Chen, Xiaojing Shi, Guangzhi Liu, Yuwei Zhang, Jinming Li, Xu Dong Zhang, Rick F Thorne, Dongping Wei, Zumin Zhu, Song Chen   +25 more
wiley   +1 more source

C⁎-Basic Construction from the Conditional Expectation on the Drinfeld Double

Journal of Function Spaces, 2019
Let D(G) be the Drinfeld double of a finite group G and D(G;H) be the crossed product of C(G) and CH, where H is a subgroup of G. Then the sets D(G) and D(G;H) can be made C⁎-algebras naturally.
Qiaoling Xin, Lining Jiang, Tianqing Cao
doaj   +1 more source

DOT1L Drives Endothelial‐to‐Mesenchymal Transition and Fibrotic Vascular Remodeling via H3K79 Methylation

Advanced Science, EarlyView.
DOT1L as a central epigenetic regulator of EndoMT and pulmonary fibrosis. Acting as an early epigenetic switch, it translates TGFβ–SMAD signaling into H3K79me2‐mediated chromatin remodeling, selectively activates fibrosis‐related genes, and primes ECs for rapid mesenchymal transition.
Yaofeng Wang, Xing Peng, Jingjing Chen, Yun Zhang, Tinghong Zhang, Jingyuan Zhang, Jiaying Fan, Hui Zheng, Qiaoyuan Liu, Zhimin Song, Zhan‐Peng Huang, Shu Meng   +11 more
wiley   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

Computing Second-Order-Accurate Solutions for Rational Expectation Models Using Linear Solution Methods [PDF]

This paper shows how to compute a second-order accurate solution of a non-linear rational expectation model using algorithms developed for the solution of linear rational expectation models.
Alan Sutherland, Giovanni Lombardo
core   +3 more sources