Molecular hyperdiversity has been documented in viruses, prokaryotes and eukaryotes. Such organisms undermine the assumptions of the infinite-sites mutational model, because multiple mutational events at a site comprise a non-negligible portion of polymorphisms. Moreover, different sampling schemes of individuals from species with subdivided populations can profoundly influence resulting patter...

The goal of this chapter is to review recent developments on sensor placement for fault diagnosis in drinking water networks. Solving a sensor placement problem for fault diagnosis entails the evaluation of the diagnosis performance of a monitoring system for a certain sensor configuration. In model-based fault diagnosis the monitoring system is built upon a set of consistency indicators, which...

BACKGROUND Infectious diseases in farmed animals have economic, social, and health consequences. Foreign animal diseases (FAD) of swine are of significant concern. Mathematical and simulation models are often used to simulate FAD outbreaks and best practices for control. However, simulation outcomes are sensitive to the population structure used. Within Canada, access to individual swine farm p...

Fermented soybean meal (FSM) is an important feed material that can replace fish to solve the shortage of animal protein. To improve utilization FSM, we optimized co-fermentation conditions using Bacillus subtilis and Enterococcus faecium studied effects replacing with different proportions FSM on serum antioxidant indices gut microbiota (GM) composition crucian carp (Carassius auratus). Our re...

In this paper, we consider the problem of test derivation from a specification FSM, assuming that all possible implementation FSMs are submachines of some nondeterministic FSM. The latter represents a restricted class of faults defined by the user. The state number in an implementation may exceed that of the specification. We present a method for test generation that can deliver shorter tests t...

Recommending new items for suitable users is an important yet challenging problem due to the lack of preference history for the new items. Non-collaborative user modeling techniques that rely on the item features can be used to recommend new items. However, they only use the past preferences of each user to provide recommendations for that user. They do not utilize information from the past pre...

Finite state machine (FSM) is a computation model that consists of a finite set of states, a start state, an input alphabet, and a transition function that defines the next state and/or outputs based on the current state and input symbols. Finding an equivalent FSM with minimal number of states is generally referred as state minimization or state reduction (SR) problem. State minimization is an...