Results 61 to 70 of about 662,489 (267)

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

Filtering heart rates using data densities: The boxfilter R package

Methods in Ecology and Evolution
Over the past decades, there has been a growing interest in long‐term heart rate records, especially from free‐living animals. Largely, this increase is because most of the metabolic activity of tissues is based on oxygen delivery by the heart. Therefore,
Thomas Ruf, Claudio Signer, Walter Arnold, Sebastian G. Vetter, Claudia Bieber   +4 more
doaj   +1 more source

The nonuniform estimate of the convergence rate of the k-th maxima

Lietuvos Matematikos Rinkinys, 2009
In this paper the nonuniform estimate of the convergence rate for the kth maxima of the independent identically distributed random variables is obtained.
Arvydas Jokimaitis
doaj   +1 more source

Modeling Extreme Values with Alpha Power Inverse Pareto Distribution

Measurement Science Review, 2023
The study focuses on the development of a new probability distribution with applications to extreme values. The distribution is proposed by incorporating an additional parameter into the inverse Pareto distribution using the α-Power Transformation ...
Ihtisham Shumaila, Manzoor Sadaf, Khalil Alamgir, Badshah Sareer, Ijaz Muhammad, Atta Hadia   +5 more
doaj   +1 more source

Inference for Clusters of Extreme Values

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2003
SummaryInference for clusters of extreme values of a time series typically requires the identification of independent clusters of exceedances over a high threshold. The choice of declustering scheme often has a significant effect on estimates of cluster characteristics.
Ferro, C.A.T., Segers, J.J.J.
openaire   +4 more sources

Extreme Value Preserving Networks

CoRR, 2020
Recent evidence shows that convolutional neural networks (CNNs) are biased towards textures so that CNNs are non-robust to adversarial perturbations over textures, while traditional robust visual features like SIFT (scale-invariant feature transforms) are designed to be robust across a substantial range of affine distortion, addition of noise, etc with
Mingjie Sun, Jianguo Li, Changshui Zhang
openaire   +2 more sources

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

FEBS 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

Extreme Values and Financial Risk [PDF]

, 2018
Since the 2008 financial crisis, modeling of the extreme values of financial risk has become important. Postgraduate programs and PhD research programs in mathematical finance are cropping up in nearly every university. Additionally, many conferences are being held annually on the topic of extreme financial risk.
Chan, Stephen, Nadarajah, Saralees
openaire   +3 more sources

Smaller is better: nanobodies meet NMR

FEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source

An improved empirical quantile mapping approach for bias correction of extreme values in climate model simulations

Environmental Research Letters
Quantifying and correcting biases in modeling simulations is crucial for deriving meaningful findings across various scientific disciplines. Climate model simulations, in particular, often exhibit systemic biases when compared to observations.
Kyuhyun Byun, Alan F Hamlet
doaj   +1 more source