Results 61 to 70 of about 9,261,553 (282)

Baseline and Dynamic Risk Predictors of Appropriate Implantable Cardioverter Defibrillator Therapy

open access: yesJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2020
Background Current approaches fail to separate patients at high versus low risk for ventricular arrhythmias owing to overreliance on a snapshot left ventricular ejection fraction measure. We used statistical machine learning to identify important cardiac
Katherine C. Wu   +9 more
doaj   +1 more source

Artificial molecular machines and motors—Design and control of nanoscale motion

open access: yesFEBS Letters, EarlyView.
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley   +1 more source

Extremes of Product of Gaussian Random Variables

open access: yesAxioms
We investigate the asymptotic behavior of the product of Gaussian random variables, with a focus on tail probabilities. Although sums of normal variables are well understood through classical limit theorems, their products exhibit significantly more ...
Džiugas Chvoinikov   +2 more
doaj   +1 more source

An effective approach for robust design optimization of wind turbine airfoils with random aerodynamic variables

open access: yesAdvances in Mechanical Engineering, 2019
The robust design optimization of an airfoil needs to continuously realize the probability-based aerodynamic simulation for various combinations of geometry and wind climate parameters.
Xufang Zhang, Zhenguang Wu, Wei He
doaj   +1 more source

Understanding Interdependency Through Complex Information Sharing

open access: yesEntropy, 2016
The interactions between three or more random variables are often nontrivial, poorly understood and, yet, are paramount for future advances in fields such as network information theory, neuroscience and genetics.
Fernando Rosas   +4 more
doaj   +1 more source

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

open access: yesFEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos   +9 more
wiley   +1 more source

Analytical assessment of the probabilistic-temporal characteristics of the start and end of activities in an information and telecommunication system

open access: yesИзвестия высших учебных заведений. Поволжский регион:Технические науки
Background. The object of this study is mathematical models used to calculate the temporal characteristics of the start and end of actions in an information and telecommunications system under the influence of random factors.
M.M. Butaev
doaj   +1 more source

Fast Generation of Discrete Random Variables [PDF]

open access: yes
We describe two methods and provide C programs for generating discrete random variables with functions that are simple and fast, averaging ten times as fast as published methods and more than five times as fast as the fastest of those. We provide general
George Marsaglia   +2 more
core  

Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy

open access: yesFEBS Letters, EarlyView.
The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley   +1 more source

Soft motions encoded by the fold and mediated by conserved hinge sites drive V‐ATPase allosteric machinery and autoinhibition

open access: yesFEBS Letters, EarlyView.
Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana   +3 more
wiley   +1 more source

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