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"Pigs"
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Guinea pigs in our classroom
The concepts of life science and animal care are combined to teach readers all about the guinea pig.
Book
Correction: Characterization of an intratracheal aerosol challenge model of Brucella melitensis in guinea pigs
[This corrects the article DOI: 10.1371/journal.pone.0212457.].
Journal Article
Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor
Aggression among pigs adversely affects economic returns and animal welfare in intensive pigsties. In this study, we developed a non-invasive, inexpensive, automatic monitoring prototype system that uses a Kinect depth sensor to recognize aggressive behavior in a commercial pigpen. The method begins by extracting activity features from the Kinect depth information obtained in a pigsty. The detection and classification module, which employs two binary-classifier support vector machines in a hierarchical manner, detects aggressive activity, and classifies it into aggressive sub-types such as head-to-head (or body) knocking and chasing. Our experimental results showed that this method is effective for detecting aggressive pig behaviors in terms of both cost-effectiveness (using a low-cost Kinect depth sensor) and accuracy (detection and classification accuracies over 95.7% and 90.2%, respectively), either as a standalone solution or to complement existing methods.
Journal Article
Grace and the Guinea Pig
This fiction STEM and STEAM title provides emerging readers the chance to experience a range of science, technology, engineering, art, and/or math subject matter at their ability level. When paired with its nonfiction counterpart, the reader gains two perspectives for analysis on the same topic from different sources. Glossary, Illustrations.
Book
Automatic Detection and Segmentation for Group-Housed Pigs Based on PigMS R-CNN
Instance segmentation is an accurate and reliable method to segment adhesive pigs’ images, and is critical for providing health and welfare information on individual pigs, such as body condition score, live weight, and activity behaviors in group-housed pig environments. In this paper, a PigMS R-CNN framework based on mask scoring R-CNN (MS R-CNN) is explored to segment adhesive pig areas in group-pig images, to separate the identification and location of group-housed pigs. The PigMS R-CNN consists of three processes. First, a residual network of 101-layers, combined with the feature pyramid network (FPN), is used as a feature extraction network to obtain feature maps for input images. Then, according to these feature maps, the region candidate network generates the regions of interest (RoIs). Finally, for each RoI, we can obtain the location, classification, and segmentation results of detected pigs through the regression and category, and mask three branches from the PigMS R-CNN head network. To avoid target pigs being missed and error detections in overlapping or stuck areas of group-housed pigs, the PigMS R-CNN framework uses soft non-maximum suppression (soft-NMS) by replacing the traditional NMS to conduct post-processing selected operation of pigs. The MS R-CNN framework with traditional NMS obtains results with an F1 of 0.9228. By setting the soft-NMS threshold to 0.7 on PigMS R-CNN, detection of the target pigs achieves an F1 of 0.9374. The work explores a new instance segmentation method for adhesive group-housed pig images, which provides valuable exploration for vision-based, real-time automatic pig monitoring and welfare evaluation.
Journal Article
Gasp of the ghoulish guinea pig
\"Joe's latest visitor needs help fast--to save his litter mates from the ghoulish grave! Flash, a guinea pig, needs Joe to guard his family from an escaped snake! Will the Protector of Undead Pets prevail, or will Flash have company for his final crossing?\"--Publisher.
Book
Genetically Modified Pigs as Organ Donors for Xenotransplantation
The growing shortage of available organs is a major problem in transplantology. Thus, new and alternative sources of organs need to be found. One promising solution could be xenotransplantation, i.e., the use of animal cells, tissues and organs. The domestic pig is the optimum donor for such transplants. However, xenogeneic transplantation from pigs to humans involves high immune incompatibility and a complex rejection process. The rapid development of genetic engineering techniques enables genome modifications in pigs that reduce the cross-species immune barrier.
Journal Article