Results 121 to 130 of about 1,819 (238)

A note on majorization transforms and Ryser’s algorithm

Special Matrices, 2013
Dahl Geir
doaj   +1 more source

Synchrony timescales underlie irregular neocortical spiking. [PDF]

Neuron
Pattadkal JJ, O'Shea RT, Hansel D, Taillefumier T, Brager DH, Priebe NJ.   +5 more
europepmc   +1 more source

From steps to home ranges: How habitat disturbance influences the movement drivers of an arboreal primate

Journal of Animal Ecology, EarlyView.
Challenging the narrative about howler monkeys' high resilience to anthropogenic changes, our multiscale analysis reveals the costs of habitat disturbance to their movement ecology. We identify thermal limitations, reduced travel efficiency, and significant spatial saturation.
Anaid Cárdenas‐Navarrete, Sarie Van Belle, Ulises Lara‐García, Manuel Guzmán‐Aguilar, Onja H. Razafindratsima   +4 more
wiley   +1 more source

Can random walking on a Hi-C contact matrix lead to data quality improvement? An assessment. [PDF]

PLoS One
Liu Y, Lin S.
europepmc   +1 more source

Intra‐Seasonal Crop Management and the Potential Benefit of Seasonal Precipitation Forecasts: Farm‐Level Embedded Risk Analysis in Ethiopia

Journal of Agricultural Economics, EarlyView.
ABSTRACT How large is the potential benefit for farmers from obtaining forecasts of total rainfall in the upcoming season? This critically depends on the local farm system and the crop management actions available to farmers to respond to the forecasts issued. Studies assessing the financial value of seasonal precipitation forecasts have so far focused
Christian Troost, Samuel Elias Kayamo, Livia Rasche, Thomas Berger   +3 more
wiley   +1 more source

A simulation-based hybrid causal predictive framework for stockout risk analysis in supply chain. [PDF]

PLoS One
Hafaf E, Alzubi AB, Iyiola K, Aljuhmani HY.   +3 more
europepmc   +1 more source

Flexible specification of directional spatial processes for eigenvector maps

Methods in Ecology and Evolution, EarlyView.
Abstract Understanding spatial structure is crucial when analysing species distributions, biodiversity and community dynamics. Spatial analysis using eigenvector maps provides a general framework for capturing spatial patterns in ecological data. Among these methods, asymmetric eigenvector maps (AEM) are particularly useful for capturing asymmetric ...
Shota Homma, Daisuke Murakami, Shinya Hosokawa, Koji Kanefuji   +3 more
wiley   +1 more source

Computational Strategy for Analyzing Effective Properties of Random Composites-Part II: Elasticity. [PDF]

Materials (Basel)
Czapla R, Drygaś P, Gluzman S, Ligocki T, Mityushev V.   +4 more
europepmc   +1 more source

Nest Survival Models and Genomics Illuminate Hybridisation Attempts, Guiding Culturally Informed Management to Recover a Critically Endangered Seabird

Animal Conservation, EarlyView.
Long‐term monitoring has revealed hybridisation attempts between the Critically Endangered Kuaka Whenua Hou (KWH, Pelecanoides whenuahouensis) and the abundant Kuaka (P. urinatrix). Here we use modelling based on population monitoring data in tandem with genomic data to investigate these attempts and the risk they pose to KWH recovery.
N. J. Forsdick, T. R. Buckley, T. Davis, I. Debski, J. H. Fischer   +4 more
wiley   +1 more source

Deconfounded and debiased estimation for high-dimensional linear regression under hidden confounding with application to omics data. [PDF]

Bioinformatics
Li Z, Liu Y, Wei K, Yu Y, Qin G, Zhu Z.
europepmc   +1 more source