On the importance of including both sexes in animal studies – insights from home‐cage monitoring
Biological Reviews, EarlyView.ABSTRACT A review of behavioural studies using home‐cage monitoring (HCM) systems revealed that over 61% of studies used only male subjects, with only 24% including both sexes, despite evidence of substantial behavioural differences between male and female animals. This bias could influence the outcomes of biomedical research.
Maša Čater +12 more
wiley +1 more source
Probabilistic edge inference of gene networks with markov random field-based bayesian learning. [PDF]
Front Genet, 2022 Huang YJ, Mukherjee R, Hsiao CK.
europepmc +1 more source
Markov random field-Markov Chain Monte Carlo image segmentation algorithm flow. [PDF]
Markov random field-Markov Chain Monte Carlo image segmentation algorithm flow.
Huazhe Wang (11361705), Li Ma (46633)
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner +6 more
wiley +1 more source
ESG Controversies in Global Firms: A Black Mark?
Business Strategy and the Environment, EarlyView.ABSTRACT Despite increasing attention paid by companies to sustainability, there is still evidence of environmental, social and governance (commonly referred to as ESG) scandals. As research on this topic is scant, this paper aims to analyse the impact of ESG controversies on firms' sustainability practices, that is, ESG policies, as well as ...
Beatrice Bais, Guido Orzes, Marco Sartor
wiley +1 more source
Some Shannon-McMillan Approximation Theorems for Markov Chain Field on the Generalized Bethe Tree
Journal of Inequalities and Applications, 2011 A class of small-deviation theorems for the relative entropy densities of arbitrary random field on the generalized Bethe tree are discussed by comparing the arbitrary measure with the Markov measure on the generalized Bethe tree.
Zong Decai, Wang Kangkang
doaj
MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field. [PDF]
Front Mol Biosci, 2022 Alnabati E +3 more
europepmc +1 more source
Image Labeling with Markov Random Fields and Conditional Random Fields
CoRR, 2018 Most existing methods for object segmentation in computer vision are formulated as a labeling task. This, in general, could be transferred to a pixel-wise label assignment task, which is quite similar to the structure of hidden Markov random field. In terms of Markov random field, each pixel can be regarded as a state and has a transition probability ...
Shangxuan Wu, Xinshuo Weng
openaire +2 more sources
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Canadian Journal of Statistics, EarlyView.Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling. [PDF]
Sci Rep, 2022 El-Melegy M +5 more
europepmc +1 more source