Animal Welfare Implications of Digital Tools for Monitoring and Management of Cattle and Sheep on Pasture.

The opportunities for natural animal behaviours in pastures imply animal welfare benefits. Nevertheless, monitoring the animals can be challenging. The use of sensors, cameras, positioning equipment and unmanned aerial vehicles in large pastures has the potential to improve animal welfare surveillance.

Purple tulip extract improves signs of skin aging through dermal structural modulation as shown by genomic, protein expression and skin appearance of volunteers studied.

Background: Purple tulip extract is a rich source of flavonoids which are powerful antioxidants and can hence be considered as an ideal candidate for use in skin care products.

Aims: We aimed to evaluate the effects of purple tulip extract on skin quality and to determine its molecular modes of interaction.

Methods: A pangenomic study on human skin fibroblasts was carried out to analyze multiple changes in gene expression.

Effects of nematode parasitism on activity patterns in first-season grazing cattle.

We investigated the effects of gastrointestinal nematode (GIN) challenge on activity patterns in first season grazing (FSG) steers exposed to two different levels of and . At turn-out, experimental animals were allocated to one of two treatment groups grazing in different enclosures each with 32 animals. The first group (High) received 5000 third stage (L3) (50%) and (50%) larvae; whereas the second group (Low) were dewormed monthly with 0.

Effects of nematode parasitism on activity patterns in first-season grazing cattle.

We investigated the effects of gastrointestinal nematode (GIN) challenge on activity patterns in first season grazing (FSG) steers exposed to two different levels of Ostertagia ostertagi and Cooperia oncophora. At turn-out, experimental animals were allocated to one of two treatment groups grazing in different enclosures each with 32 animals. The first group (High) received 5000 third stage (L3) O.

Now You See Me: Convolutional Neural Network Based Tracker for Dairy Cows.

To maintain dairy cattle health and welfare at commensurable levels, analysis of the behaviors occurring between cows should be performed. This type of behavioral analysis is highly dependent on reliable and robust tracking of individuals, for it to be viable and applicable on-site. In this article, we introduce a novel method for continuous tracking and data-marker based identification of individual cows based on convolutional neural networks (CNNs).