Evidence of jaagsiekte sheep retrovirus-induced pulmonary adenocarcinoma in Ouled Djellal breed sheep in Algeria

We report the occurrence of lung cancer in a six months old lamb of Ouled Djellal breed from Algeria. The main clinical sign was a considerable amount of whitish foamy fluid discharge from the nostrils when the animal head was lowered and the rear end was lifted. The postmortem examination revealed the presence of enlarged, heavy and edematous lungs with diffuse or foci areas, reddish or white-gray in color. The gross and histological lesions of the lungs were compatible with pulmonary adenocarcinoma. Lung adenocarcinoma in sheep is caused by jaagsiekte sheep retrovirus (JSRV) and originated from differentiated alveolar type II cells and non-ciliated bronchiolar epithelial Clara cells. We evidenced the expression of the oncogenic JSRV by immunostaining of lung slides with specific antibodies against the JSRV envelope. The viral proteins were expressed only in the tumor cells from the affected areas. As already described in other countries, JSRV-induced lung adenocarcinoma is present in the sheep population in Algeria. (C) 2020 Urmia University. All rights reserved

Uncertainty quantification for kinetic models in socio-economic and life sciences

Kinetic equations play a major rule in modeling large systems of interacting particles. Recently the legacy of classical kinetic theory found novel applications in socio-economic and life sciences, where processes characterized by large groups of agents exhibit spontaneous emergence of social structures. Well-known examples are the formation of clusters in opinion dynamics, the appearance of inequalities in wealth distributions, flocking and milling behaviors in swarming models, synchronization phenomena in biological systems and lane formation in pedestrian traffic. The construction of kinetic models describing the above processes, however, has to face the difficulty of the lack of fundamental principles since physical forces are replaced by empirical social forces. These empirical forces are typically constructed with the aim to reproduce qualitatively the observed system behaviors, like the emergence of social structures, and are at best known in terms of statistical information of the modeling parameters. For this reason the presence of random inputs characterizing the parameters uncertainty should be considered as an essential feature in the modeling process. In this survey we introduce several examples of such kinetic models, that are mathematically described by nonlinear Vlasov and Fokker--Planck equations, and present different numerical approaches for uncertainty quantification which preserve the main features of the kinetic solution.Comment: To appear in "Uncertainty Quantification for Hyperbolic and Kinetic Equations