Results 51 to 60 of about 1,722,167 (288)
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Sheep Counting Method Based on Multiscale Module Deep Neural Network
IEEE Access, 2022 Due to the uneven distribution and large scale change of sheep in the pasture, it is not conducive to the counting and statistics of sheep in animal husbandry.
Jianming Xu +3 more
doaj +1 more source
Asymptotic unbiased density estimators [PDF]
ESAIM: Probability and Statistics, 2009 Summary: This paper introduces a computationally tractable density estimator that has the same asymptotic variance as the classical Nadaraya-Watson density estimator but whose asymptotic bias is zero. We achieve this result using a two stage estimator that applies a multiplicative bias correction to an oversmooth pilot estimator.
Hengartner, Nicolas W. +1 more
openaire +4 more sources
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Shifting foundations and metrics for golden‐cheeked warbler recovery
Wildlife Society Bulletin, 2012 Using the golden‐cheeked warbler (Setophaga chrysoparia) as a case study, this paper discusses what lessons can be learned from the process of the emergency listing and subsequent development of the recovery plan.
Jeff S. Hatfield +2 more
doaj +1 more source
Adaptive Density Estimation for Generative Models [PDF]
, 2019 Unsupervised learning of generative models has seen tremendous progress over recent years, in particular due to generative adversarial networks (GANs), variational autoencoders, and flow-based models.
Alahari, Karteek +4 more
core +2 more sources
Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds [PDF]
Neural Networks, 1997 We consider the problem of estimating a density function from a sequence identically distributed observations x(i) taking value in X subset R(d). The estimation procedure constructs a convex mixture of "basis" densities and estimates the parameters using the maximum likelihood method.
Zeevi, Assaf J., Meir, Ronny
openaire +2 more sources
Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions
FEBS Letters, EarlyView.We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva +10 more
wiley +1 more source
Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting
IEEE Access, 2020 In this paper we propose a novel regression based RGBD crowd counting method. Compared with previous RGBD crowd counting methods which mainly exploit depth cue to facilitate person/head detection, our approach adopts density map regression and is more ...
Desen Zhou, Qian He
doaj +1 more source
Direct Ensemble Estimation of Density Functionals
, 2017 Estimating density functionals of analog sources is an important problem in statistical signal processing and information theory. Traditionally, estimating these quantities requires either making parametric assumptions about the underlying distributions ...
Berisha, Visar +2 more
core +1 more source