Results 61 to 70 of about 29,628 (317)

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation

Advanced Science, EarlyView.
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott, Georgeos Hardo, Ruizhe Li, Jack Bradley, Ashraf Zarkan, Somenath Bakshi   +5 more
wiley   +1 more source

On the Computation of Some Interval Reliability Indicators for Semi-Markov Systems

Mathematics, 2021
In this paper, we computed general interval indicators of availability and reliability for systems modelled by time non-homogeneous semi-Markov chains. First, we considered duration-dependent extensions of the Interval Reliability and then, we determined
Guglielmo D’Amico, Raimondo Manca, Filippo Petroni, Dharmaraja Selvamuthu   +3 more
doaj   +1 more source

Systematic Approaches to Generate Reversiblizations of Markov Chains

IEEE Transactions on Information Theory
33 pages, 1 figure. To appear in IEEE Trans.
Michael C. H. Choi, Geoffrey Wolfer
openaire   +2 more sources

Evaluating default priors with a generalization of Eaton’s Markov chain

Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 2014
We consider evaluating improper priors in a formal Bayes setting according to the consequences of their use. Let $Φ$ be a class of functions on the parameter space and consider estimating elements of $Φ$ under quadratic loss. If the formal Bayes estimator of every function in $Φ$ is admissible, then the prior is strongly admissible with respect to $Φ$.
Shea, Brian P., Jones, Galin L.
openaire   +3 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

On One Approach to Obtaining Estimates of the Rate of Convergence to the Limiting Regime of Markov Chains

Mathematics
We revisit the problem of the computation of the limiting characteristics of (in)homogeneous continuous-time Markov chains with the finite state space. In general, it can be performed only numerically.
Yacov Satin, Rostislav Razumchik, Alexander Zeifman, Ilya Usov   +3 more
doaj   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

Stability and Generalization for Markov Chain Stochastic Gradient Methods

Advances in Neural Information Processing Systems 35, 2022
Recently there is a large amount of work devoted to the study of Markov chain stochastic gradient methods (MC-SGMs) which mainly focus on their convergence analysis for solving minimization problems. In this paper, we provide a comprehensive generalization analysis of MC-SGMs for both minimization and minimax problems through the lens of algorithmic ...
Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou   +3 more
openaire   +3 more sources

Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces

Advanced Science, EarlyView.
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee, Hyun Bin Kim, Sang Uk Park, Janghoon Joo, Jinhong Min, Geumbee Lee, Joohoon Kang, Hyoyoung Jeong, Jae‐Young Yoo, Sang Min Won   +9 more
wiley   +1 more source

Information Landscape and Flux, Mutual Information Rate Decomposition and Connections to Entropy Production

Entropy, 2017
We explored the dynamics of two interacting information systems. We show that for the Markovian marginal systems, the driving force for information dynamics is determined by both the information landscape and information flux.
Qian Zeng, Jin Wang
doaj   +1 more source