Results 51 to 60 of about 2,408,709 (295)

How biased are maximum entropy models? [PDF]

open access: yes, 2011
Maximum entropy models have become popular statistical models in neuroscience and other areas in biology, and can be useful tools for obtaining estimates of mutual information in biological systems.
Peter E. Latham   +8 more
core  

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida   +6 more
wiley   +1 more source

Moments of the maximum entropy and the symmetric maximum entropy distribution

open access: yesEconomics Letters, 1981
Abstract Simulation results are described for four estimators of moments of a normal distribution: the sample and maximum entropy (ME) moments and those obtained when the sample or ME distribution is symmetrized. The discussion includes the small-sample bias and the gain in efficiency which results from the knowledge that the parent distribution is ...
University of Chicago, Chicago, IL 60637, USA ( host institution )   +2 more
openaire   +2 more sources

A fast Bayesian reconstruction algorithm for emission tomography with entropy prior converging to feasible images [PDF]

open access: yes, 1990
The development and tests of an iterative reconstruction algorithm for emission tomography based on Bayesian statistical concepts are described. The algorithm uses the entropy of the generated image as a prior distribution, can be accelerated by the ...
Núñez de Murga, Jorge, 1955-   +1 more
core   +1 more source

Maximum Rényi Entropy Rate [PDF]

open access: yesIEEE Transactions on Information Theory, 2016
Two maximization problems of Rényi entropy rate are investigated: the maximization over all stochastic processes whose marginals satisfy a linear constraint, and the Burg-like maximization over all stochastic processes whose autocovariance function begins with some given values.
Christoph Bunte, Amos Lapidoth
openaire   +3 more sources

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang   +2 more
wiley   +1 more source

A Relationship between the Ordinary Maximum Entropy Method and the Method of Maximum Entropy in the Mean

open access: yesEntropy, 2014
There are two entropy-based methods to deal with linear inverse problems, which we shall call the ordinary method of maximum entropy (OME) and the method of maximum entropy in the mean (MEM).
Henryk Gzyl, Enrique ter Horst
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Maximum Entropy Principle in Image Restoration

open access: yesAdvances in Electrical and Computer Engineering, 2018
Many imaging systems are faced with the problem of estimating a true image from a degraded dataset. In such systems, the image degradation is translated into a convolution with a Point Spread Function (PSF) and addition of noise.
PETROVICI, M.-A., DAMIAN, C., COLTUC, D.
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

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