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 represents the results of studying the spatial-dynamic factors and revealing the regularities of the global spread of Lumpy skin disease in cattle. The developed risk analysis and epizootological forecast provides the keeping up with a multi-year trend for the growth of epizootic tension in this disease for the period up to 2030. The highest probability of disease registration from 0.6 to 1.0 is predicted for the tropical agroecosystems of the African continent (enzootic zone) in 2018-2030. There is a real risk of disease in neighboring countries of Eurasia with the probability is less than 0.4. In the Russian Federation, outbreaks can occur in all federal districts of the country, but the highest probability of its occurrence is possible in agroecosystems of the subtropics of the North Caucasus and Southern Federal Districts of the country
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
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
The article is devoted to the method of selecting
quails. Intensive development of re-fishing requires the
development of breeding methods for selecting birds
and to carry out early predictions of egg production.
Targeted breeding selection is able to influence the
mechanisms of correlation dependencies between
individual parts of the animal's organism, significantly
change even firmly established interrelations, and
create new interactions more satisfying the needs of
the individual. The research task consisted of
establishing links between the parameters of the
skeleton and the productive qualities of the layers. The
studies were conducted on Texas white quails. We
took into account the live weight of the bird, the length
of the metatarsal and the third finger, as well as the
small and large diameters of the metatarsal.
Correlations were established between the length of
the pelvic limbs and the live weight of young quails
during growth. It is established that the growth of the
skeleton ends with the age of onset of puberty. This
provides a basis for predicting the live weight,
depending on the length of the pelvic extremities. It is
established that the live mass is directly related to the
egg productivity of quails. Thus, by selecting the birds
with the longest plus, it makes it possible for 25 weeks
of productivity to increase the egg laying on the initial
layer by 5,7 eggs and 6,2 eggs per average laying hen,
respectively
We have studied biochemical changes in the body of
cattle, sick with nodular dermatitis in the initial stage
of the clinical manifestation of the disease. It is
proved that in case of disease in animals there is a
significant increase in the level of creatinine up to
295.5 mg%. The excess of the norm by 82.1%. In
treatment, this indicator was significantly reduced (189.2 mg%), but did not reach the upper limits of the
norm (162.4 mg%). In the blood serum of patients, the
carotene content was reduced to 0.09 mg%, which
was restored to normal three days after the start of
treatment (1.0 mg%). The glucose level at the
beginning of the disease was 18% below normal and
reached the lower limit of the norm 8 hours after the
start of treatment. When studying the activity of CKK,
it was found that the activity of the enzyme in animals
before the introduction of a 5% solution of sodium
hydrogencarbonate is 82% higher than the upper limit
of the norm. After the treatment, this indicator
returned to normal. The inorganic phosphorus index
did not reach the physiological norm (2.5 mmol / l)
before and after treatment, and remained 11.6%
higher (2.9 mmol / l), which indicates a violation of
mineral metabolism in sick animals. The level of
reserve alkalinity began to recover after 8 hours of
observation and reached a minimum limit of 48.91
vol. % CO2. During the entire period of the
experimental studies, before and after the
administration of the drug, there were no significant
changes in the biochemical parameters of total
protein, calcium, vitamin E and urea. The nature of
the established changes varied within the limits of
physiological norms. The use of a 5% solution of
sodium hydrogen carbonate in nodular dermatitis
increases the effectiveness of symptomatic treatment,
reduces the likelihood of complications and stimulates
the production of specific antibodies against viruses
and bacteria. We have recommended intravenous
injection of 5% sodium hydrogencarbonate solution to
sick animals at the rate of 1 ml per 1 kg of live weight
of the animal three times with an interval of 3 days
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
Relative to the emergence and wide extension of an antibiotic resistance in infectious agents of animal infectious diseases, the particularly important assessment increases over change of sensitivity of various groups of microorganisms to anti-infective drugs. Results of studying antibiotic sensitivity of the enterobacteria isolated from an intestine of sick calves, and dynamics of its change within three years are presented in article. Results of the research demonstrate prevalence of resistance to the majority of anti-infective drugs (AID) among the Enterobacteriaceae isolates emitted from calfs. To chloramphenicol, neomycin and streptomycin from 100% of isolates E. coli, Proteus, Enterobacter, Morganella, Citrobacter were sensitivity. From AID of group of aminoglycosides gentamycin, from group of quinolones – enrofloxacin was the most effective. The good sensitivity to a polymyxin was shown to 80 % of isolates E. coli, Citrobacter spp., Klebsiella spp. It was established that 66,7 % of E. coli isolates, 57,1 % of Enterobacter spp., 75 % of Morganella, 60 % of Edwardsiella, 42,9 % of Citrobacter spp., allocated from sick calfs, has fastness to 7 AID. At the same time to other AID of a series the appreciable number of multiresistant strains shows weak sensitivity. The tendency of augmentation of number of antibiotic resistance isolates to AID which are widely applied in veterinary practice as time passed. High frequency of the combined resistance to traditionally used antibiotic drugs – to kanamycin (up to 80 %), to tetracycline (up to 85 %) and to chloramphenicol (up to 8 3%) testifies to need of obligatory test for sensitivity to AID before their use
This article is devoted to a comprehensive survey of parasitocenosis in 5 peasant farms content 1156 birds, 8 species of chickens, the minimum number in a separate farm was -26 birds, maximum -535. This is the first publication in which the material on helminthocenosis is presented as an integral part of parasitocenosis of individual bird species (intensity of infestation, extensiveness of infestation, associative groupings). The rest of the material on mites, puffers, and bloodsuckers, coccidia, histomonads, microfauna, will be presented in the next publications
One of the most widespread infections affecting newborn pigs is colibacillosis. The set of factors contributes to the development of this disease: non-compliance with elementary veterinary health regulations of conducting pig-breeding, an error in technologies of contents and feeding, stressful situations, and as a result, emergence of the specific factors contributing to illness emergence (dysbacterioses, activation of conditionally pathogenic microflora). In addition, not always specific prophylaxis of colibacillosis is in due time and successfully carried out that is generally bound to disharmony of antigenic composition vaccine drug and originator of the pathogenic potential. In this connection, use of new agents and ways of improvement of prophylaxis of colibacillosis for pigs is represented a current problem in veterinary medicine. The purpose of this work was studying diffusion of colibacillosis among bacterial infections of pigs and establishment preventive efficiency of colibacillosis anatoxin at vaccination the pregnant pigs. Dispersal of colibacillosis was studied in a complex with use the epizootological, anamnestic, clinical, pathologicoanatomic, bacteriological methods of research and also on basis materials the veterinary reports of economy. Allocation of microorganisms was carried out with use differential and diagnostic, selective mediums, identification − with use of traditional methods of bacteriological diagnostics, on the basis cultural, the tinktorial and biochemical properties. Researches showed what colibacillosis at pigs is registered in 37,5-51,4% of cases and wins first place among infections of pigs of a bacterial etiology. When studying efficiency prophylaxis of colibacillosis with bacterination use the pregnant pigs anatoxin containing three types inactivated by formalin exotoxins of the Escherichia coli, have established decrease in indicators of incidence and lethality also high safety of pigs (96%) concerning Escherichia coli