ITS

Sex chromosomes and Internal telomeric sequences in Dormitator latifrons (Richardson 1844) (Eleotridae: Eleotrinae): an insight into their origin in the genus

The freshwater fish species Dormitator latifrons, commonly named the Pacific fat sleeper, is an important food resource in CentralSouth America, yet almost no genetic information on it is available. A cytogenetic analysis of this species was undertaken by standard and molecular techniques (chromosomal mapping of 18S rDNA, 5S rDNA, and telomeric repeats), aiming to describe the karyotype features, verify the presence of sex chromosomes described in congeneric species, and make inferences on chromosome evolution in the genus.

Molecular Analysis and Chromosome Mapping of Repetitive DNAs in the Green Terror Andinoacara rivulatus (Cichlidae: Cichlasomatini)

Neotropical cichlids include hundreds of species whose taxonomy has benefited of molecular phylogeny and whose karyotype evolution has been related to the amount and distribution of different classes of repetitive sequences. This study provides the first integrative molecular (cytochrome c oxidase subunit 1 and 16S sequences) and cytogenetic analyses of wild samples of the green terror Andinoacara rivulatus, a cichlid naturally distributed in Ecuador and spread throughout the world as an aquarium pet.

A predictive maintenance system for bus fleets. Innovation and research from the case study of Ravenna

The paper introduces an innovative Predictive Maintenance (PdM) system to assess the quality of engine oil for buses, tested in Ravenna (Italy) within the “European Bus System of the Future – EBSF_2” project, funded by the European Union. The system relies on PdM software linked to oil sensors and filters, installed on a test fleet and using a specifically designed Information Technology (IT) architecture. The system enables continuous assessment of the oil quality, which is highly predictive of engine performance.

Predictive maintenance for buses. Outcomes and potential from an Italian case study

The paper deals with an innovative Predictive Maintenance (PdM) system to assess the quality of the engine oil for buses, tested in Ravenna within the European Bus System of the Future - EBSF_2 project, funded by the European Union. The system relies on a PdM software linked to oil sensors and filters, installed on a test fleet, and on an IT architecture, specifically designed.

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