The aim of this study was to detect radiodensity of a medial coronoid process of elbow joints with a medial coronoid disease and normal elbow joints in dogs. The study includes 91 large and giant breed dogs at the age from 6 to 30 months. Medial coronoid disease was diagnosed in 65 dogs and 26 dogs had normal elbow joints. Computed tomography was performed with Philips MX – 16 CT scanner and imaging data analysis performed using Horos v.2.2.0 software. CT technical data included 140 kVp, 250 mAs, 1 second rotation time and 0.75 slice thickness. The density of a medial coronoid process (MCP) was measured by two unrelated measurement methods. The study describes Hounsfield unit values in different areas of MCP in normal elbow joints and in medial coronoid disease affected joints. In 91.8% cases, MCP subchondral sclerosis observed with MCP fragmentation or fissure. We conclude that both bone density measurement methods are suitable for veterinary diagnostic imaging and can be used to evaluate canine elbow joints.

Ruminants produce a large amount of methane (CH4 ) and carbon dioxide (CO2 ) in their foregut. These gases cause greenhouse effect. There are a lot of studies about different feed additives which can reduce the production of greenhouse gases in ruminants. Prebiotics can also change the amount of bacteria in animal gastrointestinal tract and reduce the occurrence of diarrhoea. The aim of this study was to test whether the prebiotic inulin affects the production of CH4 and CO2 in calves’ rumen and whether it affects the bacteria count in the rumen fluid and bacterial overgrowth in intestines. We used the flour of Jerusalem artichoke (Helianthus tuberosus L.) containing 50% of inulin. Approximately fifty days old, Holstein Friesian crossbreed calves were used in this study. Eight were in the control group, 8 received 12 g of flour and 8 received 24 g per day. On the 28th and 56th day of the research, we measured the amount of CH4 and CO2 in calves’ rumen took rumen fluid samples for bacterial analysis and urine to measure the level of phenol and indican. We concluded that adding the flour of Jerusalem artichoke at doses 12 g and 24 g did not significantly impact the production of CH4 and CO2 in calves’ rumen, the prebiotic inulin may suppress the growth of anaerobic microorganisms in the rumen at concentration 12 g of inulin reaching 56th day of experiment. The amount of phenol and indican in calves’ morning urine did not correlate with the faecal consistency of calves.

In some regions of the world, there is a risk of limiting crop production due to the growing pressure of biotic and abiotic factors. It is mostly connected with the forecasted climatic changes. Hence, alternative methods for supporting plant growth are sought for, and among them, biostimulants can play a significant role. The three-year (2009 – 2011) field experiment with spring barley (Hordeum vulgare L.) was conducted in Poland to assess the response of grain yield, yield components, as well as the content and uptake of N, P and K in grain to differentiated times and to a dose of seaweed (Ecklonia maxima Osbeck) biostimulant Kelpak application. Preparation was applied in a dose of 2 L haE-1 at BBCH 22 (early treatment) or in a dose of 2 L haE-1 at BBCH 31 (late treatment), as well as two times, 1.5 L haE-1 each, in both phases. The study indicated that the biostimulant had a favourable effect on the root weight, grain number per spike, thousand grain weight and seed yield in early treatment as compared with the control. Early application also had a positive effect on N and P uptake in the grain yield. Favourable response of barley to the application of biostimulant shows the usefulness of the seaweed extract in the cultivation technology of this crop.

The development of rural territories in the European Union (EU) plays an essential role, and agricultural development can largely contribute to this process. To project agricultural trends, a number of models have been developed in the EU, while in Latvia the LASAM model was developed in 2016 to generate projections for agricultural sector development in Latvia until 2050. In 2017, LASAM was extended by a module for socio-economic assessment that allows projecting productivity for various types of farming. The research aim is to develop a model for productivity simulation for various specialisation types of farms in order to project their development in Latvia. To achieve the aim, two specific research tasks were set: 1) to develop a model for productivity simulation for various specialisation types of farms in Latvia; 2) to identify the key results of the simulation of productivity for various specialisation types of farms in Latvia. The research found that in the period 2005 – 2016 the value added of agriculture tended to slightly increase in Latvia, whereas an opposite trend was observed for the number of persons employed in agriculture, which tended to decrease in the period of analysis. Both trends determine the agricultural productivity trend as well. A projection of productivity measured as value added per AWU for various farming types in Latvia by means of the LASAM model has revealed that it is different, and the highest level of productivity in 2030 and 2050 is projected for granivores as well as field crop farms.

The objective of this article is to assess farm efficiency and productivity change in specialised large farms located in the region of Mazowsze and Podlasie during the years 2014 − 2016. For this, we used the non-parametric Data Envelopment Analysis (DEA) method and Malmquist index. Calculations were performed for three types of large farms classified as: field crop, pig and dairy. The study shows that mean technical efficiency of large field crop, pig and dairy farms amounted to 80, 75 and 70%, respectively. Technical inefficiency of field crop farms come mainly from scale efficiency, while of pig and dairy farms equally from pure technical and scale efficiency. It shows that inefficient management practices had an impact on farm performance. Therefore, in order to increase competitiveness of farms, an improvement of management practices is required. In the studied period the share of farms operating under increasing return was as follows: 67, 72, and 81%, respectively for field crops, pig and dairy farms. The improvement of efficiency of those farms could be achieved by increasing their size. The results indicate that 8% of field crops, 12% of dairy and 16% of large pig farms were operating under decreasing scale efficiency, which means that those farms were operating above the optimal scale. The increase in their efficiency could be achieved through size reduction. In dairy farms the average annual productivity growth of 2% was recorded. In pig farms the productivity reduction of 5.4% was observed. It was the result of a decrease in technological efficiency.

Historical and current development tendencies of medical tourism in Latvia, economic and geographical accessibility of Latvia for medical tourists, the high acknowledgement by the European Parliament Committee on Transport and Tourism on the potential of Latvia of becoming one of the largest medical tourism destination points, allow us to evaluate the potential for medical tourism among the priority countries for Latvia. Unfortunately, the lack of further analysis of potential limits the development of medical tourism strategy and monitoring. The research goal: determination of export potential of medical tourism services in the priority countries for Latvia. The research showed that there is a potential in every of the given countries: in Norway – rehabilitation and insert of acrylic implants; in Sweden – endovenous laser surgery and eyelid surgery; in Finland – rehabilitation and breast enlargement; in Ireland – rehabilitation and eyelid surgery; in Great Britain – rehabilitation and eyelid surgery. Results of the SWOT analysis indicated that in order to reach the export goals the existing drawbacks to the provision of medical tourism services in Latvia have to be averted while amplifying the use of the comparative advantages of Latvia.

The model of automation and extension of tourism economic impact assessment in specific regions Tourism is measured by the statistics of visitor movements, expenditure and estimates of the number of visitor facilities. In the world there are many current tools, methodologies and innovative technologies used to measure the economic impact of tourism. Tourism statistics have been on the frontline of Big Data-related innovations of statistical sources and methods. Data from mobile phones (as part of Big Data set) are increasingly used as new indices for social science research. Therefore, this paper looks for an answer to the question – what is the specific of a theoretical model for automation tourism economic impact assessment in specific regions via the use of ICT and mobile positioning data (MPD)? Using qualitative research methods authors propose theoretical model based on two interlinked parts. First of which – ‘Data storage’ – can be built upon the most popular BD platform ‘Apache Hadoop Ecosystem’, where the data precision of the online surveys can be increased by implementing mobile positioning solutions. Meanwhile the other part – ‘Data analysis’ – can be based on the locally created assessment methodology, which has been derived from the Finnish standardized economic impact estimation approach. The research results show the findings and propose a theoretical model. Its strength and novelty lies in the ability to use traditional tourism statistics, the economic impact analysis and passive mobile positioning data for spatial characteristics of tourism flow. Its construction is a distinctive combination of typically used technological approaches.

Latvia, just like many other EU member states, receives multiannual financial support through the EU financial instruments for implementation of the common policies by the EU. The support is aimed at the priorities set at the level of the EU and is adapted to the peculiarities of each member state’s sphere. The aim of the study is to evaluate the importance of the support, provided by the EU financial instruments, for the development of Latvian fishery sector. The analysis was made on the basis of the available data and their quality. As a result of the study, the author found out that in the planning periods of 2004 – 2006, 2007 – 2013 and 2014 – 2020, for the development of fishery sector in Latvia the support of several EU financial instruments was available. Development of fishery sector is significantly impacted by the availability of the financial support through the EU financial instruments and use thereof. Considering the dependence of the fishery sector on the sustainability principles coordinated at the level of EU, corresponding fishery possibilities, and considering the increase of global competitiveness in the world’s markets, the strengthening of fishery’s competitiveness plays a significant role in the facilitation of the Latvian economy.

The aim of the study is using systematic literature analysis method – literature overview – identify the factors, which affect the competitiveness of a higher education institution in the conditions of globalization. Qualitative methods, as well as systematic literature analysis method – literature overview have been used in the study. More than 6000 scientific articles were considered to choose 20 full text articles for in-depth analysis. Main conclusions and results – the systematic literature analysis method – literature overview is a convenient tool for systematizing, selecting and collecting information about the research subject, using author’s articles, which have already gathered key information from a number of researchers of a specific topic together; the competitiveness of higher education institution is influenced by the internal factors that are formed by the internal environment of the higher education institution and external factors that are formed by the external micro-environment and macro-environment influenced by the state policy; an analysis of the internal and external factors of an institution is important in order to create competitive advantages in a higher education institution.

In educational strategy papers, it is determined that entrepreneurial development should be implemented already in schools. Various methods and approaches can be used for the development. The majority of entrepreneurial competences are developed at the university – subjects devoted to the development of entrepreneurship are included in the study programs. Environment of the university is very friendly to this – not only because of activities devoted to entrepreneurship occurring in the academic environment, plenty seminars and trainings, but also because of the students’ personal maturity and motivation. Scholars actively raise the following questions: how to develop entrepreneurial competences effectively? Which methods are the most applicable? What kind of innovative methods are the most necessary? 104 students, who tried simulation traineeship of entrepreneurial development, were questioned in order to analyse the impact of methods and the change in entrepreneurial competences. The research was carried out in the Faculty of Economics and Management of Aleksandras Stulginskis University. The participants of the research were involved in the business simulation, where they had an opportunity to estimate themselves and improve their backgrounds, abilities and skills. Methods promoting and developing creativity were applied in simulation business enterprises; however, not all methods had worked. The methods of graphic representation were used by the minority and they were not considered to be very effective. The aim of the research was to determine entrepreneurial competences and innovative educational methods theoretically and to test empirically the development of entrepreneurial competences via simulation method.