Cant is important for understanding advertising, comedies and dog-whistle politics. However, computational research on cant is hindered by a lack of available datasets. In this paper, we propose a large and diverse Chinese dataset for creating and un
derstanding cant from a computational linguistics perspective. We formulate a task for cant understanding and provide both quantitative and qualitative analysis for tested word embedding similarity and pretrained language models. Experiments suggest that such a task requires deep language understanding, common sense, and world knowledge and thus can be a good testbed for pretrained language models and help models perform better on other tasks.
The present study was diagnosis and Treatment of dermatophytosis
in Cats. Cases of Mycology Clinic were involved in this study: 58
cats, 1 mounth/4 years aged).Medical exams were: anamnesis,
clinical examination and dermatological exam. Samples we
re
collected from Skin scarping and hair from cats with clinical
suspicion of dermatophytosis. From 58 Cats revaled 18
(31%)showed lesion with dermatophytosis.