This article briefly discusses a new innovation (brought to a level that ensures its practical use) method of artificial intelligence: automated system-cognitive analysis (ASC-analysis) and its programmatic toolkit which is called intellectual system "Eidos". A detailed numerical example of the solution demonstrating the technology of creating a veterinary diagnostic test of gastrointestinal diseases of horses is given. As the source data, we use data from the UCI repository, kindly given by Mary McLeish and Matt Cecile (Department of computer science of University of Guelph, Ontario, Canada N1G 2W1, with the support of a sponsor: Will Taylor. The developed test is used to solve the problems of diagnosis, decision support and examining the simulated subject area by studying its model. 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 veterinary problems with the use of artificial intelligence technologies are placed as a cloud Eidos-application 129
This work is a continuation of the author's series of works on cognitive veterinary medicine. The present period is characterized by the appearance of huge volumes of texts in different languages in the open access, generated by people. Currently, these texts are accumulated in various electronic libraries and bibliographic databases (WoS, Scopus, RSCI, etc.), as well as on the Internet on various sites. All these texts have specific authors, dates and can belong simultaneously to many non-alternative categories and genres, in particular: educational; scientific; artistic; political; news; chats; forums and many others. The solution of the generalized problem of attribution of texts is of great scientific and practical interest, i.e. studying these texts, which would reveal their probable authors, date of creation, the ownership of these texts to the above generalized categories or genres, and might evaluate the similarities - differences of authors and texts according to their content, highlight key words etc. To solve all these problems it seems necessary to form the generalized linguistic images of texts into groups (classes), i.e. to form semantic kernels of classes. A special case of this problem is the creation of the semantic kernel in various scientific specialties of the HAC of the Russian Federation and the automatic classification of scientific texts in the areas of science. Traditionally, this task is solved by dissertation councils, i.e. experts, on the basis of expert assessments, i.e. in an informal way, on the basis of experience, intuition and professional competence. However, the traditional approach has a number of serious drawbacks that impose significant limitations on the quality and volume of analysis. Currently, there are all grounds to consider these restrictions as unacceptable, because they can be overcome. Thus, there is a problem, the solutions of which are the subject of consideration in this article. Therefore, the efforts of researchers and developers to overcome them are relevant. Therefore, the aim of the work is to develop an automated technology (method and tools), as well as methods of their application for the formation of the semantic core of veterinary medicine by automated system-cognitive analysis of passports of scientific specialties of the HAC of the Russian Federation and automatic classification of texts in the areas of science. A detailed numerical example of solving the problem on real data has been given as well
The article presents data on the prevalence of
colibacillosis of pigs in farms of the Krasnodar region
in the period 2010-2016. Colibacillosis is widespread
in pig farms of the Krasnodar region. In different
years, it was recorded at 32.6 - 55.6% of bacterial
infectious diseases of pigs. And only in 2013-2014, in
farms of the region colibacillosis was not registered.
Among the bacterial pathology, colibacillosis in pigs
in the farms of the Krasnodar region is in the first
place after staphyloccocus (3 - 15 %), streptoccocus
(2-13,7 %), and diseases caused by conditionally
pathogenic microflora (17,9-20 %). In the Krasnodar
region, we annually allocate different serotypes of E.
Coli that vary depending on areas and farms, however,
regularly in pigs in the Krasnodar region there are the
following serotypes: A8, О20, О119, О26, О86 in
Bryukhovetskiy, Dinskoy, Kalininskiy, Korenovskiy,
Kurganinskiy, Kushchevskaiy, Labinskiy regions of
the Krasnodar territory. According to the reports of
outbreaks, colibacillosis in pigs for several years were
recorded in the Central, Korenovskiy, Kushchevskaya,
Labinskiy, Primorsko-Akhtarskiy, Seversky,
Slavyanskiy, Tbilisskiy, Timashevskiy, Ust-Labinskiy
districts of the Krasnodar region and in the city of
Krasnodar. After 2013-2014, after the total absence of
the disease in the region, there were reported outbreaks
in 2015 in some farms in the Timashevskiy district,
and in 2016 – in Kurganinskiy
Currently, in the Krasnodar region the indicators of
cow productivity are steadily increasing. This was
facilitated by two factors: the improvement of animal
genetics and the introduction of innovations in
technology. Novoplastunovskoe is one of the first
farms, which paid much attention to a significant
change in the technology of dairy cattle. Work began
with the construction of barns "light type" with walls
in the form of opening curtains for the American
project. The premises are equipped with "boxes" for
individual rest of animals with bedding in the form of
sand; automatic heated water logs; on the roof there is
a transparent skate, providing an increase in lighting
and additional ventilation; ceiling fans and additional
water sprinklers are installed to regulate the
microclimate. The milking parlor is equipped with
high-tech equipment and is integrated with the Israeli
computer program “AfiFarm”. Research was carried
out on an estimation of zoohygienic conditions in the
winter and summer periods; the technology of
processing and clearing sand - bedding for animals is
studied; the interior and exterior characteristics of the
cows of the Ayrshire and Holstein breeds adapted to
the new conditions have been determined; with the
help of the computer program “AfiFarm”, the
dynamics of single and daily milk yields, the content
of fat and protein in milk; calculated economic
indicators of milk production from different breeds of
animals
There are many opinions on the question of what kind of society we live in at the beginning of the XXI century. Previously, it was believed that this is a post-industrial society. There was even an opinion that it would be a society of developed socialism or even a communist society. After that, the opinion on this has changed. First, modern society was called the information society, and then the society based on knowledge. The latest news in this area is that it seems that modern society is a digital society, that is, a society, based on digital technologies, digital communications, digital information processing and transmission technologies, as well as digital artificial intelligence technologies. In a digital society and science people must move to digital intelligent research technologies. In particular, the question arises as to whether veterinary medicine in a digital society should not also become cognitive veterinary medicine. This work is devoted to a detailed and reasoned (according to the authors) answer to this question. The methodology and terminology in this new field is not yet established and is not generally accepted. Therefore, in this work a lot of attention is paid to the logic and methodology of scientific knowledge, terminological issues and definitions of concepts
This prospective study was conducted on 10 commercial dairy herds, over one year on milk urea monitoring, determination of diets characteristics effects on MU concentration and on assessment of MU concentrations as a predictor of N utilization and urinary N excretion. Milk samples were collected twice every month and analyzed for urea concentration using a colorimetric procedure. Representative feed samples were also collected on the same day of milk collection. Feed samples were characterized and their concentrations of protein digestible in the intestine and net energy for lactation were calculated according to the French system as well as PDI requirements. Average of milk urea concentrations range is 25.0 - 32.0 mg/dl. A significant positive association (p
A number of authors (Milaeva I. V., Zaitsev S. Yu., Dovzhenko N. A., Tsarkov D. V., Tsarkova M. S., 2015) have proposed a regression model and a method for indirect measurement of fat and protein content in cow's milk by its dynamic surface tension, which has a number of advantages over the traditional approach. The model reflects the objectively existing relations between the content of fat and protein in cow's milk and parameters of centigrams of dynamic surface tension at the interface of the milk/air. These relationships are revealed by the authors of the method wit mathematical processing of 112 empirical samples. For this purpose, they have applied regression and correlation analysis (in MS Excel). Since the content of fat and proteins in milk largely determines its quality, this problem refers to the problems of qualimetry. However, this problem of qualimetry also refers to typical problems of pattern recognition (multi-parameter typing and system identification), and therefore it is possible that the quality of its solution can be improved by the use of artificial intelligence methods, in particular cognitive and information technologies. Moreover, these relationships are quite complex. The use of intelligent technologies also creates additional opportunities for the study of the simulated subject area by studying its model. All this is of great scientific and practical interest for both researchers and practitioners. To solve all these problems in the work we have applied Automated System-Cognitive analysis (ASC-analysis) and its software tool which is an intelligent system called "Eidos". A numerical example based on real data has been considered in detail as well
This article is devoted to the study of the species structure of helminths of the American mink, raccoon and wolf, conducted from 2006 to 2017. The study was subjected to 69 corpses of American mink - 30 of reed-bed, 22 flat, 17 of the Piedmont; 42 dead raccoon to 21 of the foothill and mountain; 24 corpse of the wolf - 8 from overflow land, foothill and mountain landscape-geographical zones of the Northwest Caucasus. The analysis of the results of the study showed that the determining factor in the formation of helminthocenoses of American mink, raccoon and wolf is the species structure of trophic-epizootic chains, the links of which are these predators, as well as species that act as intermediate, additional and reservoir hosts. Feature of helminthiases in carnivorous mammals is determined by a group of fodder. A dynamic increase in the number of species in the structure of helminthocenoses of American mink, raccoon and wolf was established, which is due to the anthropogenic transformation of natural ecosystems, violation of historical biotic relationships, including in the "parasite-host" system. The analyzed species of wild carnivores are involved in the support and formation of natural foci of such hazardous parasites as metros, Alaris, pseudamphistomum, mesocestoides, echinococcosis, trichinosis, dirofilariosis
The article presents the results of a study of the features of growth and development of young bulls in the conditions of Central Yakutia when mineral feed additives are included in their rations. The scientific experience was carried out on the basis of the cattle-breeding farm "Churapcha". For the experiment were selected bullhead Hereford breed at the age of 7 months. Experimental groups of animals were formed by the method of analogues. Such indicators as age, live weight, fatness, physiological state were taken into account. The control group of bulls received the main ration. In comparison with the control group, analogs with I experimental group, in addition to the basic ration, received zeolite 0.5 g / kg body weight, 150 g sapropel and 0.04 g potassium iodide. The animals of the II experimental group received, in addition to the basic ration of zeolite hongurin, at a dose of 0.7 g / kg body weight, 200 g of sapropel with 10 g of copper sulphate. The duration of scientific experience - 7 months. Studies have shown that the addition to the diet of mineral feed additives has influenced the growth and development of bulls. So, when the age of 15 months was reached, according to the compactness index, the bulls of the control group were slightly inferior to their peers by 0.9 % compared to the first experimental group and 5.8 % to the second experimental group. According to the massiveness index, gobies of the I and II experimental groups exceeded the gobies of the control group by 0.5 % and 0.3 %. Upon reaching the age of 15 months on the index of compactness, the bulls of the experimental groups had the best indicators
The production of eggs is one of the most important indicators of the productivity of poultry, including chickens The main purpose of breeding chickens in the collections of genetic resources - conservation of genetic diversity. The chickens from the collection of genetic resources it is also possible to receive products, for example, in the form of eggs. The account of the egg productivity of the chickens showed that the intensity of egg production varies among representatives of different directions of productivity. The most stable egg-laying was possessed by chickens of breeds New Hampshire, Black Australian, Dutch white. These breeds are bred as breeds of egg direction of productivity. But they are characterized by long downturns in egg production, lasting more than 7 days. Chickens of meat direction by stable, but low intensity of egg production. All the chickens had a short period For all chickens a short period is characteristic, when the egg-laying is kept at a certain level. It is 30-40 days, after which there is a gradual decrease in this indicator. Such a high level of genetic diversity in egg production in gene pool makes it possible to use this bird as a model object for studying its features