1. The effects of Revalor (trenbolone acetate plus oestradiol) implantation or the inclusion of clenbuterol (a 8-2-adrenergic agonist) in the diet of wether lambs was studied. Using continuous intravenous infusion of [3H]tyrosine the fractional synthetic rate of mixed protein from three separate muscles was measured.2. Clenbuterol slightly increased growth rate but had a significant (P < 0.02) effect on food conversion efficiency.The weight and protein content of the longissimus dorsi and vastus lateralis muscles were increased but no such changes were observed for the vastus intermedius. For the longissirnus dorsi at least the increase was probably achieved by a reduction in fractional degradation rate of the muscle protein.3. Revalor significantly increased the growth rate and food conversion efficiency of the animals. This increase was not specific for muscle. Estimated degradation rates of muscle protein were lower in the treated animals. 4.The possible mode of action of these materials was discussed. The results obtained again highlight the importance of protein degradation in controlling growth.

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Automatic detection of speech affecting (SA) diseases has received significant attention, particularly in clinical scenarios. However, the same task in in-the-wild conditions is often neglected, in part, due to the lack of appropriate datasets.In this work, we present the in-the-Wild Speech Medical (WSM) Corpus, a collection of in-the-wild videos, featuring subjects potentially affected by a SA disease -specifically, depression or Parkinson's disease. The WSM Corpus contains a total 928 videos, and over 131 hours of speech. Each video is accompanied by a crowdsourced annotation for perceived age/gender, and self-reported health status of the speaker. The WSM Corpus is balanced over all the labels.In this work we present a detailed description of the collection, and annotation processes of the WSM corpus. Furthermore, we present present several baseline systems for the detection of SA diseases using speech alone, thus motivating the use of this type of in-the-wild data in paralinguistic audiovisual tasks.