Abstract Dynamic networks are networks with temporal relationship features which evolve over time by the inclusion and deletion of nodes and edges.Suppressing the epidemic spreading in such networks is quite challenging.The problem of protecting a limited number of nodes to restrain the spreading of malicious old taylor whiskey 1933 price attacks o
old taylor whiskey 1933 price Lymphoma is an uncommon type of breast malignancy, with low prevalence.The ultrasonographic findings of breast lymphoma have been described as nonspecific.Breast lymphoma most commonly appears as a solitary hypoechoic mass on US, and usually here shows hypervascularity on color Doppler US.Herein, we report an unusual c
Graph Neural Networks (GNNs) have demonstrated remarkable performance in tasks involving graph-structured data, but they also exhibit biases linked to node degrees.This paper explores a specific manifestation of such bias, termed Exploration Degree Bias (EDB), in the context of Reinforcement Learning (RL).We show that EDB arises from the inherent d
This paper aims to validate the reversal of the burden of proof regarding the non-existence of untimely dismissal, given that in the workplace the worker is considered the weakest part of the labor color touch 7/97 relationship and untimely dismissal is a social problem in Ecuador, for which compensation has been determined in legal regulations, pr
Dental calculus is an excellent source of information on the dietary patterns of past populations, including consumption of plant-based items.The detection of plant-derived residues such as alkaloids and their metabolites in dental calculus provides direct evidence of consumption by individuals within a population.We conducted a study on 41 individ