Results 51 to 60 of about 419,601 (272)

The Gut Resistome Atlas in Preterm Infants Enables Prediction of Necrotizing Enterocolitis Onset

open access: yesAdvanced Science, EarlyView.
The gut resistome of preterm infants and its clinical relevance remain poorly understood. This study performs in‐depth integrative analyses of 5,684 gut metagenomes from preterm infants, uncovering distinct features that diverge from term infants. Notably, the gut resistome of preterm infants converges 9 days before necrotizing enterocolitis onset ...
Shuqin Zeng   +22 more
wiley   +1 more source

Analisis Deteriorasi Perkerasan Jalan Tol Terdampak Banjir dengan Model Markov Chain Transisi Homogen dan Non-Homogen

open access: yesJurnal Teknik Sipil
Abstrak Model dan analisis yang mampu meramalkan dampak banjir terhadap kinerja perkerasan jalan raya, sangat penting untuk mengantisipasi penurunan kekuatan struktur perkerasan pasca terjadinya banjir.
Danang Saputro   +2 more
doaj   +1 more source

Microglial Deletion of Hrh4 Alleviates Alzheimer's Disease Pathologies by Enhancing Microglial Phagocytosis of Amyloid‐β and Tau

open access: yesAdvanced Science, EarlyView.
Histamine H4 receptor (H4R) antagonist VUF6002 mimics low‐dose X‐ray irradiation in aged Alzheimer's disease (AD) mice, enhancing microglial clearance of amyloid‐beta/hyperphosphorylated tau aggregates and restoring cognition. Microglial H4R deletion activates cAMP/TGF‐β1/Smad3 pathway, enhancing phagocytosis, while TGF‐β receptor 1 deletion abolishes ...
Yi‐Jun Xu   +5 more
wiley   +1 more source

STUDY ON THE EVOLUTION OF SOME FINANCIAL PRODUCTS BASED ON MARKOV CHAINS METHOD [PDF]

open access: yesAnnals of the University of Oradea: Economic Science, 2016
In probability theory it is known that Markov chain is frequently used in order to predict the future situations. Moreover, Markov chain theory is used to study the change rules of the economic phenomenons, to describe consumers’ brand loyalty, in ...
Marta Kovacs (Kiss)
doaj  

The Markov Process as a Model of Migration Based on the Example of the Movement of Banknotes

open access: yesStudia i Materiały, 2021
This paper presents a way of using the Markov chain model for the analysis of migration based on the example of banknote migration between regions in Poland.
Arkadiusz Manikowski
doaj   +1 more source

Dynkin's Isomorphism with Sign Structure [PDF]

open access: yes, 2007
The Dynkin isomorphism associates a Gaussian field to a Markov chain. These Gaussian fields can be used as priors for prediction and time series analysis. Dynkin's construction gives Gaussian fields with all non-negative covariances.
Khare, Kshitij
core  

Super‐Resolution Compatible DNA Labeling Technique Reveals Chromatin Mobility and Organization Changes During Differentiation

open access: yesAdvanced Science, EarlyView.
A novel chromatin‐labeling probe is developed to investigate chromatin mobility during differentiation. The silicon rhodamine–conjugated dCTP is efficiently delivered into iPSCs and NSCs using a synthetic transporter. Super‐resolution microscopy and single‐particle tracking show decreased chromatin mobility during differentiation.
Maruthi K. Pabba   +11 more
wiley   +1 more source

A Hopf-power Markov chain on compositions [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2013
In a recent paper, Diaconis, Ram and I constructed Markov chains using the coproduct-then-product map of a combinatorial Hopf algebra. We presented an algorithm for diagonalising a large class of these "Hopf-power chains", including the Gilbert-Shannon ...
C.Y. Amy Pang
doaj   +1 more source

Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning

open access: yesAdvanced Science, EarlyView.
AMPainter is a powerful design model for ’painting’ the antimicrobial potency on any given peptide sequence, based on the strategy of virtual directed evolution and deep reinforcement learning. Abstract In the post‐antibiotic era, antimicrobial peptides (AMPs) are considered ideal drug candidates because of their lower likelihood of inducing resistance.
Ruihan Dong, Qiushi Cao, Chen Song
wiley   +1 more source

Probability Interval Prediction of Wind Power Based on KDE Method With Rough Sets and Weighted Markov Chain

open access: yesIEEE Access, 2018
Research on the uncertainty of wind power has a significant influence on power system planning and decision-making. This paper proposes a novel method for wind power interval forecasting based on rough sets theory, weighted Markov chain, and kernel ...
Xiyun Yang   +3 more
doaj   +1 more source

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