Results 91 to 100 of about 440,340 (303)

An ATP‐Driven N Protein–DDX21 Molecular Switch Dynamically Controls SARS‐CoV‐2 RNA G‐Quadruplex Heterogeneity

open access: yesAdvanced Science, EarlyView.
An ATP‐driven molecular switch, comprising viral nucleocapsid (N) protein and host helicase DDX21, dynamically modulates SARS‐CoV‐2 RNA G‐quadruplex (G4) heterogeneity. These viral G4s feature non‐canonical ion‐dependence and act as energy‐sensitive structural checkpoints.
Ya‐Ting Zheng   +8 more
wiley   +1 more source

Bayesian fusion of hidden Markov models for understanding bimanual movements [PDF]

open access: yes, 2004
Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and human-computer interaction. A part of this can be the recognition of movements in which the two hands move simultaneously to do something or ...
A. Sutherland   +5 more
core   +2 more sources

Option pricing using hidden Markov models [PDF]

open access: yes, 2006
Includes bibliographical references (leaves 144-149).This work will present an option pricing model that accommodates parameters that vary over time, whilst still retaining a closed-form expression for option prices: the Hidden Markov Option Pricing ...
Anderson, Michael
core   +1 more source

The use of media opportunities during the presidential elections in Russia in 1996 and 2000

open access: yesHistoria provinciae: журнал региональной истории, 2017
The study of the processes that took place during the elections of the President of the Russian Federation in 1996 and 2000 is relevant today, when our country is on the verge of new elections in 2018.
Evgeniy Markov
doaj   +1 more source

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

open access: yesAdvanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge   +13 more
wiley   +1 more source

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

open access: yesAdvanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith   +4 more
wiley   +1 more source

An extension of Peskun ordering to continuous time Markov chains [PDF]

open access: yes
Peskun ordering is a partial ordering defined on the space of transition matrices of discrete time Markov chains. If the Markov chains are reversible with respect to a common stationary distribution "greek Pi", Peskun ordering implies an ordering on the ...
Leisen Fabrizio, Mira Antonietta
core  

Learning What’s in a Name with Graphical Models

open access: yesJournal of Visualization and Interaction
“The UK” is a country, but “The UK Department of Transport” is an organization within that country. In a named entity recognition (NER) task, where we want to label each word with a name tag (organization/person/location/other/not a name), how can a ...
Vu Luong, Justin Selig
doaj   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

open access: yesAdvanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho   +5 more
wiley   +1 more source

Markov-Switching Model Selection Using Kullback-Leibler Divergence [PDF]

open access: yes
In Markov-switching regression models, we use Kullback-Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously.
Tsai, Chih-Ling   +2 more
core  

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