Automatic detection of pig wasting diseases is an important issue in the management of group-housed pigs. Further, respiratory diseases are one of the main causes of mortality among pigs and loss of productivity in intensive pig farming. In this study, we propose an efficient data mining solution for the detection and recognition of pig wasting diseases using sound data in audio surveillance systems. In this method, we extract the Mel Frequency Cepstrum Coefficients (MFCC) from sound data with an automatic pig sound acquisition process, and use a hierarchical two-level structure: the Support Vector Data Description (SVDD) and the Sparse Representation Classifier (SRC) as an early anomaly detector and a respiratory disease classifier, respectively. Our experimental results show that this new method can be used to detect pig wasting diseases both economically (even a cheap microphone can be used) and accurately (94% detection and 91% classification accuracy), either as a standalone solution or to complement known methods to obtain a more accurate solution.
Brucella causes a chronic and debilitating infection that leads to great economic losses and a public health burden. In this study, we demonstrated the brucellacidal effect of heat shock mediated by the induction of pro-inflammatory cytokines, reactive oxygen species (ROS) accumulation and apoptosis in murine macrophages and in mice. RAW264.7 cells were incubated at 43 °C, and BALB/c mice were subjected to whole body hyperthermia. The data showed a reduction in bacterial survival in the mice after daily heat exposure. This was accompanied by increased levels of cytokines TNF, IL-6, IL-1β and IFN-γ in the sera of the mice. Gene expression of NF-κB and inducible nitric oxide production were also induced in the mouse splenic cells. In parallel with the bacterial reduction in the mouse model, an increased bactericidal effect was observed in RAW264.7 cells after exposure to heat stress. In addition, the heat stress increased both the nuclear translocation of NF-κB and the expression of the heat shock proteins HSP70 and HSP90 in murine macrophages. Furthermore, heat exposure induced the increase of pro-inflammatory cytokines, ROS accumulation and apoptosis but did not affect the production of nitric oxide (NO) in macrophages. This study demonstrated the induction of innate immune responses by heat stress that significantly reduced the intracellular survival of B. abortus in vitro and in vivo. Transcriptional factor NF-κB, which is a master regulator, could be termed a key activator of heat-induced immunity against Brucella. The increase in the expression and activation of NF-κB in splenic cells and macrophages was followed by enhanced antimicrobial effectors, including cytokines, ROS and NO that may contribute to the reduction of bacterial survival.
30 April 2009 in Asian-Australasian Journal of Animal Sciences
Brucella abortus is an intracellular pathogen which can infect and persist in host cells through multiple interactions. Above all, its interaction to host cell receptor is important to understand the pathogenic mechanisms of B. abortus. Accordingly, we demonstrated that platelet-activating factor receptor (PAFR) affects host cell response against B. abortus infection. First of all, B. abortus infection to macrophage induces secretion of platelet-activating factor (PAF), which is a PAFR agonist. The stimulation of PAFR by PAF remarkably increases B. abortus uptake into macrophages. It induces Janus kinase 2 (JAK2) and p38α phosphorylation, indicating that PAFR-mediated activation of JAK2 signaling leads to enhanced uptake of B. abortus. Moreover, the dynamics of F-actin polymerization revealed that PAFR-mediated B. abortus uptake is related with the reorganization of F-actin and JAK2. Upon B. abortus phagocytosis, reduced PAFR in the membrane and subsequently increased levels of PAFR colocalization with endosomes were observed which indicate that B. abortus uptake into macrophages allowed PAFR trafficking to endosomes. This study demonstrated that PAFR has a compelling involvement in B. abortus uptake as a promoter of phagocytosis, which is associated with JAK2 activation. Thus, our findings establish a novel insight into a receptor-related phagocytic mechanism of B. abortus.
Korean Native Black Goats deliver mainly during the cold season. However, in winter, there is a high risk of stunted growth and mortality for their newborns. Therefore, we conducted this study to develop a KNBG parturition detection system that detects and provides managers with early notification of the signs of parturition. The KNBG parturition detection system consists of triaxial accelerometers, gateways, a server, and parturition detection alarm terminals. Then, two different data, the labor and non-labor data, were acquired and a Decision Tree algorithm was used to classify them. After classifying the labor and non-labor states, the sum of the labor status data was multiplied by the activity count value to enhance the classification accuracy. Finally, the Labor Pain Index (LPI) was derived. Based on the LPI, the optimal processing time window was determined to be 10 min, and the threshold value for labor classification was determined to be 14 240.92. The parturition detection rate was 82.4%, with 14 out of 17 parturitions successfully detected, and the average parturition detection time was 90.6 min before the actual parturition time of the first kid. The KNBG parturition detection system is expected to reduce the risk of stunted growth and mortality due to hypothermia in KNBG kids by detecting parturition 90.6 min before the parturition of the first kid, with a success rate of 82.4%, enabling parturition nursing.