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Czycholl I, Büttner K, Becker D, Schwennen C, Baumgärtner W, Otten W, Wendt M, Puff C, Krieter J. Are biters sick? Health status of tail biters in comparison to control pigs. Porcine Health Manag 2023; 9:19. [PMID: 37161469 PMCID: PMC10170755 DOI: 10.1186/s40813-023-00314-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 03/27/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND Tail biting is a multifactorial problem. As the health status is one of the factors commonly linked to tail biting, this study focuses on the health of identified biters. 30 (obsessive) biters are compared to 30 control animals by clinical and pathological examination as well as blood and cerebrospinal fluid samples. In that way, altogether 174 variables are compared between the groups. Moreover, connections between the variables are analysed. RESULTS In the clinical examination, 6 biters, but only 2 controls (P = 0.019) were noticeably agitated in the evaluation of general behaviour, while 8 controls were noticeably calmer (2 biters, P = 0.02). Biters had a lower body weight (P = 0.0007) and 13 biters had overlong bristles (4 controls, P = 0.008). In the pathological examination, 5 biters, but none of the controls had a hyperceratosis or inflammation of the pars proventricularis of the stomach (P = 0.018). However, 7 controls and only 3 biters were affected by gut inflammation (P = 0.03). In the blood sample, protein and albumin levels were below normal range for biters (protein: 51.6 g/l, albumin: 25.4 g/l), but not for controls (protein: 53.7 g/l, albumin: 27.4 g/l), (protein: P = 0.05, albumin: P = 0.02). Moreover, 14 biters, but only 8 controls had poikilocytosis (P = 0.05). Although not statistically different between groups, many animals (36/60) were affected by hypoproteinemia and hyponatremia as well as by hypokalemia (53/60) and almost all animals (58/60) had hypomagnesemia. For hypomagnesemia, significant connections with variables linked to tail damage and ear necrosis were detected (rs/V/ρ ≥ 0.4, P ≤ 0.05). CONCLUSION The results suggest that behavioural tests might be helpful in identifying biters. Moreover, cornification and inflammation of the pars proventricularis is linked to becoming a biter. Furthermore, the results highlight the need for appropriate and adjusted nutrient and mineral supply, especially with regard to magnesium.
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Affiliation(s)
- I Czycholl
- Institute of Animal Breeding and Husbandry, Kiel University, 24098, Kiel, Germany.
- Pig Improvement Company (PIC), Hendersonville, TN, 37075, USA.
- Department for Animal Welfare and Disease Control, University of Copenhagen, 1870, Frederiksberg, Denmark.
| | - K Büttner
- Unit for Biomathematics and Data Processing, Faculty of Veterinary Medicine, Justus Liebig University, 35392, Giessen, Germany
| | - D Becker
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), 18196, Dummerstorf, Germany
| | - C Schwennen
- Clinic for Swine, Small Ruminants and Forensic Medicine and Ambulatory Service, University of Veterinary Medicine Hanover, Foundation, 30173, Hanover, Germany
| | - W Baumgärtner
- Department of Pathology, University of Veterinary Medicine Hanover, Foundation, 30559, Hanover, Germany
| | - W Otten
- Institute of Behavioural Physiology, Research Institute for Farm Animal Biology (FBN), 18196, Dummerstorf, Germany
| | - M Wendt
- Clinic for Swine, Small Ruminants and Forensic Medicine and Ambulatory Service, University of Veterinary Medicine Hanover, Foundation, 30173, Hanover, Germany
| | - C Puff
- Department of Pathology, University of Veterinary Medicine Hanover, Foundation, 30559, Hanover, Germany
| | - J Krieter
- Institute of Animal Breeding and Husbandry, Kiel University, 24098, Kiel, Germany
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El Motaki S, Yahyaouy A, Gualous H, Sabor J. A new weighted fuzzy C-means clustering for workload monitoring in cloud datacenter platforms. Cluster Comput 2021; 24:3367-3379. [PMID: 34155435 PMCID: PMC8210524 DOI: 10.1007/s10586-021-03331-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 05/30/2021] [Accepted: 06/01/2021] [Indexed: 05/25/2023]
Abstract
The rapid growth in virtualization solutions has driven the widespread adoption of cloud computing paradigms among various industries and applications. This has led to a growing need for XaaS solutions and equipment to enable teleworking. To meet this need, cloud operators and datacenters have to overtake several challenges related to continuity, the quality of services provided, data security, and anomaly detection issues. Mainly, anomaly detection methods play a critical role in detecting virtual machines' abnormal behaviours that can potentially violate service level agreements established with users. Unsupervised machine learning techniques are among the most commonly used technologies for implementing anomaly detection systems. This paper introduces a novel clustering approach for analyzing virtual machine behaviour while running workloads in a system based on resource usage details (such as CPU utilization and downtime events). The proposed algorithm is inspired by the intuitive mechanism of flocking birds in nature to form reasonable clusters. Each starling movement's direction depends on self-information and information provided by other close starlings during the flight. Analogically, after associating a weight with each data sample to guide the formation of meaningful groups, each data element determines its next position in the feature space based on its current position and surroundings. Based on a realistic dataset and clustering validity indices, the experimental evaluation shows that the new weighted fuzzy c-means algorithm provides interesting results and outperforms the corresponding standard algorithm (weighted fuzzy c-means).
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Affiliation(s)
| | - Ali Yahyaouy
- University Sidi Mohamed Ben Abdellah, Fez, Morocco
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Abstract
Abnormal behaviours such as ear and tail biting of pigs is of significant welfare and economic concern. Currently, pig welfare legislation is under renewed focus by the EU commission and is likely to be enforced more thoroughly. The legislation prohibits routine tail docking and requires adequate enrichment to be provided. In Ireland, tail-docking is still the most utilised control mechanism to combat tail biting, but biting is still widespread even in tail-docked pigs. In addition, as pig farms are almost all fully slatted, bedding type material cannot be provided. Thus, the opinions, and practices of farmers in countries like Ireland, which may need to make significant adaptations to typical pig management systems soon, need to be considered and addressed. We carried out a survey of pig farmers during 2015 in order to gain a greater understanding of the extent of biting on Irish farms, perception on the most important preventive measures, current enrichment use and actions following outbreaks. Fifty-eight farmers from 21 Counties responded with an average herd size of 710 ± 597 sows (range 90–3000 sows). Only two farms had experienced no biting in the last year. Of the farms that had experienced tail biting (88%), 86% had also experienced ear biting. The most common concerns relating to biting were condemnation and reduced productivity of bitten pigs with both receiving an average score of 4 (most serious). Ear biting occurred most commonly in the 2nd stage (approximately 47–81 days from weaning) weaner and tail biting in the finishing stage. The most important preventive measures were felt to be taking care of animal health, restricting density, maintaining an even quality of feed/content and maintaining good air movement. Sixty-five percent of respondents added additional enrichment following an outbreak. Chains were the most common form of enrichment currently used (83%). Those not using chains favoured wood, toys and rope (17%). Identification of the most effective and accessible control and prevention measures both for the animals and for the farming community is thus essential. Improved understanding of the concerns and practices of producers, which this survey contributes to, is a first step towards this aim.
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Affiliation(s)
- Amy Haigh
- 1Present address: School of Biology and Environmental Sciences, University College Dublin, Dublin, Ireland
| | - Keelin O'Driscoll
- 2Pig Development Department, Centre for Grassland Research and Innovation, Teagasc, Fermoy, Co. Cork Ireland
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