62 research outputs found
The effect of different types of physical exercise on the behavioural and physiological parameters of Standardbred horses housed in single stalls
The aim of this study was to investigate the impacts of three different physical exercises on the physiological and behavioural
patterns of Standardbred trotters housed in single stalls. Twelve racing mares were observed twice during each different exercise:
daily training (DT) consisted of forty minutes at slow trot (4-5 m/s) in a small track; maximal exercise (ME) consisted of 1600m
run at maximal velocity; race (R) was a real race of 1600 m. The mares were examined at rest in their stall (Time I), soon after the
completion of the exercise (Time II), one hour (Time III), and two hours (Time IV) after the exercise.Their heart rate, respiratory
rate, and rectal temperature were recorded and they were videotaped in order to complete a focal animal sampling ethogram. All
physiological parameters increased after exercise, in accordance with its intensity. After R andMEhorses spentmore time drinking,
eating, and standing. The incidence of abnormal behaviours was very low and it was not affected by the different types of exercise.
Overall, the assessment of horse behaviour after physical exercise bymeans of a focal animal sampling ethogramrepresents a useful
tool to monitor equine welfare
The effect of different types of physical exercise on the behavioural and physiological parameters of Standardbred horses housed in single stalls
The aim of this study was to investigate the impacts of three different physical exercises on the physiological and behavioural
patterns of Standardbred trotters housed in single stalls. Twelve racing mares were observed twice during each different exercise:
daily training (DT) consisted of forty minutes at slow trot (4-5 m/s) in a small track; maximal exercise (ME) consisted of 1600m
run at maximal velocity; race (R) was a real race of 1600 m. The mares were examined at rest in their stall (Time I), soon after the
completion of the exercise (Time II), one hour (Time III), and two hours (Time IV) after the exercise.Their heart rate, respiratory
rate, and rectal temperature were recorded and they were videotaped in order to complete a focal animal sampling ethogram. All
physiological parameters increased after exercise, in accordance with its intensity. After R andMEhorses spentmore time drinking,
eating, and standing. The incidence of abnormal behaviours was very low and it was not affected by the different types of exercise.
Overall, the assessment of horse behaviour after physical exercise bymeans of a focal animal sampling ethogramrepresents a useful
tool to monitor equine welfare
On Pseudorandomness and Deep Learning: A Case Study
Pseudorandomness is a crucial property that the designers of cryptographic primitives aim to achieve. It is also a key requirement in the calls for proposals of new primitives, as in the case of block ciphers. Therefore, the assessment of the property is an important issue to deal with. Currently, an interesting research line is the understanding of how powerful machine learning methods are in distinguishing pseudorandom objects from truly random objects. Moving along such a research line, in this paper a deep learning-based pseudorandom distinguisher is developed and trained for two well-known lightweight ciphers, Speck and Simon. Specifically, the distinguisher exploits a convolutional Siamese network for distinguishing the outputs of these ciphers from random sequences. Experiments with different instances of Speck and Simon show that the proposed distinguisher highly able to distinguish between the two types of sequences, with an average accuracy of 99.5% for Speck and 99.6% for Simon. Hence, the proposed method could significantly impact the security of these cryptographic primitives and of the applications in which they are used
Qualità delle reti tecnologiche locali nei settori dell’energia elettrica e del gas
Qualità delle reti tecnologiche locali nei settori dell’energia elettrica e del ga
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