The article deals with the similarity and difference of nosological images in veterinary medicine using a new method of agglomerative clustering implemented in Automated system-cognitive analysis (ASC-analysis) on a small numerical example. This method is called Agglomerative cognitive clustering. This method differs from the known traditional facts: a) parameters of a generalized image of the cluster are computed not as averages from the original objects (classes) or their center of gravity, and are defined using the same underlying cognitive operations of ASC-analysis, which is used for the formation of generalized images of the classes on the basis of examples of objects and which is really correct and provides a synthesis; b) as a criterion of similarity we do not use Euclidean distance or its variants, and the integral criterion of non-metric nature: "the total amount of information", the use of which is theoretically correct and gives good results in non-orthonormal spaces, which are usually found in practice; c) cluster analysis is not based on the original variables, matrices of frequency or a matrix of similarities (differences) dependent on the measurement units of the axes, and in the cognitive space in which all the axes (descriptive scales) use the same unit of measurement: the quantity of information, and therefore, the clustering results do not depend on the original units of measurement features. All this makes it possible to obtain clustering results that are understandable to specialists and can be interpreted in a meaningful way that is in line with experts' assessments, their experience and intuitive expectations, which is often a problem for classical clustering methods
In the article, on a small numerical example, we consider the similarity and difference of symptoms and syndromes according to their diagnostic meaning, i.e. according to the information they contain about the belonging of conditionals of animals to different nosological images. This problem can be solved for veterinary with the use of a new method of agglomerative cognitive clustering, implemented in Automated System-Cognitive analysis (ASC-analysis). This method of clustering differs from the known traditional methods in: a) in this method, the parameters of the generalized image of the cluster are calculated not as averages from the original objects (symptoms) or their center of gravity, but are determined using the same basic cognitive operation of ASC-analysis, which is used to form generalized images of the classes based on examples of objects and which really correctly provides a generalization; b) the similarity criterion is not the Euclidean distance or its variants, but the integral criterion of non-metric nature: "the total amount of information", the application of which is theoretically correct and gives good results in unortonormated spaces, which are usually found in practice; c) cluster analysis is carried out not on the basis of initial variables, frequency matrices or matrix of similarity (differences), depending on the units of measurement on the axes (measurement scales), but in cognitive space, in which one unit of measurement is used for all axes: the amount of information, and therefore the results of clustering do not depend on the initial units of measurement of features of objects. All this allows us to get the results of clustering, understandable to specialists and amenable to meaningful interpretation, well-consistent with the experts ' assessments, their experience and intuitive expectations, which is often a problem for classical clustering methods
Pasteurella multocida is an important respiratory pathogen of cattle. OmpH Protein is a major protective antigen of bacteria has been well studied in avian strains. In the literature there are no data available for the study of a variety of sequence of this protein among isolates with cattle respiratory pathology. There have been described several genes associated with the virulence of the bacterium in respiratory disease of cattle, but none of the authors compared the frequency of detection of these genes with the pathogenicity for laboratory animals. The aim of our study was the development of allele-specific PCR to determine Omph-types of Pasteurella multocida and the search for new approaches to assess the pathogenicity of isolates of bacteria. Total amount of 83 isolates allocated from the lungs of calves with respiratory pathology was investigated. All isolates belonged to groups A or D (isolates 63 and 20, respectively). Among isolates of capsular serogroup A we revealed 6 types, most propagation types were A1 and A2. All isolates of capsular serogroup D were one omph- type. In 16 out of 23 farms there were identified isolates of only one omph-type, 4 - 2 types, 3 - three types. The frequency of gene hgbb - hemoglobin binding protein correlated with pathogenicity of isolates for white mice. The developed allele-specific PCR along with hgbb gene detection can be used for screening and studying the properties of antigen and circulating pathogenic isolates and selecting a candidate vaccine strains
This article deals with the problem of producing protein using alternative sources of raw materials, due to the shortage of feed protein and utilization of organic waste. This property makes it possible to return feed protein to farm animals and birds derived from the biomass of insect larvae. The invention relates to agricultural production. The studied problem is relevant for the technology of livestock products (agricultural sciences), which is explained by the global need for proteins and food products. The object of study is several different insects. The article studies the application and significance of some beetles in this field. The study provides a comparative analysis of the Black Linki (Hermetia illucens), House Cricket (Acheta domesticus), Locusts (Locusta migratoria), Flour Castaneum (Tribolium confusum) for a more graphic comparison of the benefit from the application of the above bugs and identify the most unpretentious and best beetle for breeding for food purposes in agricultural production. The work also shows a diagram of the process of development of the larvae of Hermetia illucens. The following research methods were used: observation, collection of scientific and practical information about beetles, study, analysis, processing, systematization of the collected material
In this work, the authors presented the results of monitoring urolithiasis in cats in Krasnodar in the period from 2016-2017. The authors established the sexual, age and breed predisposition of animals to this pathology; the seasonality of the disease was studied. An analysis of the actual data and reports of various authors made it possible to conclude that urolithiasis in cats is a polyethological disease. As a result of carried out hematological studies, the presence of an inflammatory process, which was manifested by lymphocytopenia, an insignificant increase in neutrophils and monocytes, as well as hematocrit, was ascertained. A laboratory analysis of urine showed that urine, as a rule, is turbid with an admixture of blood and sand, precipitating rapidly. The authors found an increase in the volume of urine in sick animals due to the inability to remove it, the specific gravity fluctuated within the limits of 1.015-1.020; pH = 7.5-8. With microscopy of the urine sediment, both unorganized and organized sediments were detected. The ultrasound examination of the bladder showed the presence in its cavity echo-positive particles in a suspended state, as well as sections of the desquamated mucosa
A comprehensive assessment was made of the own productivity of repair pigs and the quality of sperm production of boars of different breeds. Imported boars and mumps had thin bacon 13-15 mm, high early ripeness 145-153 days and a depth of "muscular eye" 53-53.9 mm, indicating an increase in the content of lean meat in the carcass. However, the length of the trunk of the animals was 120 cm, which corresponds to the first class of the instructions for bonitation. There was a significant difference in the growth rate of repair young (about 300 g), which indicates the individual characteristics of animals and the possibility of selecting the best animals for reproduction of the herd. Assessment of pigs by phenotype is an important element of breeding work on complexes. It is established that the quality of sperm production is affected both by the breed and the season of the year: the volume of ejaculate and the concentration of spermatozoa in all breeds are greatest in the autumn-winter period. Boars Maxgro were distinguished by an increased volume of ejaculate, but a low concentration of sperm compared to a large white breed and landrace. During the year, the greatest fluctuations in sperm concentration in large white breed boars were observed ± 133 million / ml, the smallest - Landrace ± 29 million / ml, which contributes to the uniform production of semen doses for insemination
Meat Academy website http://meatinfo.ru has a comparative table of breeds of cattle on 8 indicators, from which 2 are text and 6 are numerical http://meatinfo.ru/info/show?id=197. It is a natural question for business executives, which of these breeds are similar throughout the system of indicators characterizing them, and which ones differ and to what extent. There is also the question of which indicators are similar and different in meaning and by how much. This article is devoted to the solution of these problems. The results of the study can be used by anyone, due to the fact that Eidos the universal automated system, which is a tool of ask-analysis, is in full open free access on the author's website at: http://lc.kubagro.ru/aidos/_Aidos-X.htm, and numerical examples of solving the mentioned problems with the use of artificial intelligence technologies are placed as a cloud Eidos-application #131
The article considers the application of Eidos intellectual technologies for implementation of developed veterinary and medical diagnostics statistical tests without programming in the convenient form for the individual and mass testing, the analysis of the results and development of the individual and group recommendations. It is possible to merge several tests in one supertest
Antibacterial chemotherapeutic drugs, which include antibiotics and synthetic antimicrobial agents, are widely used in veterinary medicine for the prevention and treatment of diseases caused by microorganisms. Antibacterial agents can be classified by type of action and chemical structure. It is also known that when several drugs are used in combination with each other, they interact within the body with each other, which can lead to strengthening or weakening of their action. For these reasons, it is of scientific and practical interest to develop a classification of antibiotics by their characteristics and principle of action (task 1), as well as by mutual compatibility (task 2). The article solves these problems using a new method of agglomerative cognitive clustering, implemented in automated system-cognitive analysis (ASK-analysis). This method of clustering has a number of advantages over the known traditional methods of clustering. These advantages allow us to obtain clustering results that are understandable to specialists and amenable to meaningful interpretation, which are well consistent with the experts ' assessments, their experience and intuitive expectations, which is often a problem for classical clustering methods. The article provides detailed numerical examples of solving two problems. The universal automated system called "Eidos", which is a tool of ASK-analysis, is in full open access on the author's website: http://lc.kubagro.ru/aidos/_Aidos-X.htm. Numerical examples of solving veterinary problems with the use of artificial intelligence technologies are placed as cloud Eidos-applications and are available to everyone
The article is devoted to the use of automated system-cognitive analysis for the study of probiotics for the growth of bulls. Moreover, as growth indicators we have not used live weight, but indices characterizing the shape and proportions of the body of animals. A detailed numerical example of solving the problem using real data is given