Detection of structures in the horizontal wind field over complex terrain using coplanar Doppler lidar scans

Coplanar scans from three Doppler lidars are used to retrieve the horizontal wind field in a horizontal plane of about 5 km × 5 km in size above the city of Stuttgart in south-western Germany. Stuttgart is located in moderate mountainous terrain that is characterized by a basin-shaped valley (Stuttgart basin) which opens into the larger Neckar Valley. Using the retrieved horizontal wind field, which is available on 22 days with a temporal resolution of 1 min and a horizontal resolution of 100 m, we investigate the mesoscale structure of the horizontal flow in the valleys with respect to time of the day, stratification and wind above the mean ridge height, and determine how fast the cells in the convective boundary layer move downstream, i.e. we estimate the convection velocity. The measurements reveal a large spatial and temporal variability of the flow. During stable conditions, the flow below the mean ridge height is decoupled from the flow aloft and downvalley wind dominates in the valleys. At the opening of the Stuttgart basin into the Neckar Valley outflow dominates during nighttime, whereas inflow into the basin prevails in the early morning. During thermally unstable conditions the flow in the valleys is mainly coupled to the flow aloft with a preference for upvalley wind direction. Convective cells moving downstream are detected in the horizontal wind field and a method to estimate the convection velocity from the horizontal wind field measurements is presented. The mean convection velocity is found to be higher by 24 % than the mean horizontal wind speed at the same height and about similar to the wind speed 100 m further up

Applied Technology Group Project Documentation for NLS-Project

Loyalty systems are commonly used to build and improve relationships between business and customers. Throughout history they evolved and became almost essential for small businesses such as coffee shops or small local stores. In this paper we will analyze existing loyalty systems that are presented in the world and Irish market, how they are used in the coffee shop industry and how new technologies can change and shape this industry. We examined multiple coffee shops brands present in Ireland and their rewards systems. We compared their loyalty systems using alternative methodologies and theoretical lenses in order to find new ways to approach the subject of customer retention and loyalty. Our main goal was to make a brand new system which will offer a turnkey solution for the industry. Another goal was to simplify interaction with loyalty systems in such a way that customers will participate in it without even noticing any discomfort. This process can be achieved by using Near Field Communication chips that can be found in any smart-devices such as phones and watches, or bank cards that have the contactless payment option. We also considered ethical and data storing risks that the new system might bring. The product that was built during this research project represents only a Minimal Viable Candidate, and still needs to pass a long way before it can be implemented in the real market. On the other hand we hope it can start a movement in the right direction and impact the industry in the near future

THE MODEL OF EVALUATION OF SCIENTIFIC-EDUCATIONAL CLUSTER IN THE REGION

Современное профессиональное образование должно строиться на основе эффективного взаимодействия государства и бизнеса. Такой вариант сотрудничества создает реальные возможности гармонизации экономических интересов всех субъектов государственно-частного партнерства в сфере подготовки специалистов, которые отвечали бы актуальным, динамично меняющимся требованиям рынка. Государство более рационально использует ограниченные бюджетные средства, компании получают специалистов со сформированным набором необходимых им компетенций, минимизируют потери адаптационного периода, образовательные учреждения реализуют инновационные программы подготовки под конкретные потребности бизнеса. В статье обоснована необходимость создания научно-образовательных кластеров в регионе, как формы развития государственно-частного партнерства. Изучены возможности интеграции образования, науки и производства. Рассмотрены показатели, характеризующие работу территориального научно-образовательного кластера, на основе которых предложена модель оценки его эффективности. Полученные результаты дают представление о степени продуктивности работы научно-образовательного кластера ПАО «Татнефть» по основным направлениям деятельности.Цель – разработка методики уровня интеграции научно-образовательного кластера (на примере научно-образовательного кластера по подготовке кадров для ПАО «Татнефть»).Метод или методология проведения работы: в статье использовались экономико-математические методы и статистические методы анализа.Результаты: получены значения ряда показателей, характеризующих и подтверждающих практическую целесообразность реализации программ государственно-частного партнерства в сфере подготовки квалифицированных специалистов посредством создания научно-образовательного кластера на территории присутствия якорной компании.Область применения результатов: полученные результаты служат практической основой для разработки государственной экономической политики в сфере подготовки кадров с учетом региональной специфики в кратко- и среднесрочной перспективе.Modern professional education should be formed on the basis of efficient interaction of government and business. Such type of interaction creates real conditions of harmonization of economic interests of all the subjects of public-private partnership in the field of training the specialists who would meet actual and sharply changing market requirements. The state uses more efficiently limited budget funds, the companies get specialists with the developed base of all necessary competences, minimize the lost of adaptation period, educational institutions realize innovative training programs aimed at certain business requirements. The need of creating of scientific-educational clusters in the region as the form of public-private partnership development is justified in the article. The possibilities of education, science and production integration have been studied. There have been studied the indicators characterizing the operation of the territorial scientific-educational cluster on their basis the model of its efficiency evaluation was suggested. The obtained results give us the idea of the efficiency level of the scientific-educational cluster by PSC «Tatneft» on principal fields of activity.The purpose – development of a technique of level of integration of a scientific and educational cluster (on the example of a scientific and educational cluster on training for PJSC Tatneft).The method and methodology of carrying out the work: economic-mathematical and statistical methods of analyses were used in the article.Results: there were obtained a number of indicator values characterizing and confirming practical efficiency of realizing the programs of public-private partnership in the field of training qualified specialists by means of scientific-educational cluster creation on the territory of anchored company.Fields of results’ application: the obtained results are a practical basis for state economic policy development in the sphere of staff training with account of regional specificity in a short-term and mid-term perspective

The Leading Universities’ Social Responsibility and Regional Development

The paper deals with processes of development of a university's social responsibility in the regional community. The content of ten web-sites of Russia's federal universities and of official sites of regional authorities of their respective locations was taken as the initial empiric material. Theoretical analysis of basic viewpoints on the nature of buildup of universities' social responsibility was conducted. Basing on the socio-cultural approach to analysis of the mission and lines of the universities' activities, the authors generalized modern practices of social responsibility realization and gave insight into prospective lines of the universities' activity in the context of socio-economic development of Russian regions. As a working hypothesis, it has been assumed that it is human and professional experience of regional leaders that has considerable influence on formation of universities' and regions' mutual social responsibility for realization of socio-economic objectives of the regional development. Finally, conclusions about horizons and ways of enhancement of the role of social responsibility within the system of interrelations between universities and regions were formulated

The Leading Universities’ Social Responsibility and Regional Development

The paper deals with processes of development of a university's social responsibility in the regional community. The content of ten web-sites of Russia's federal universities and of official sites of regional authorities of their respective locations was taken as the initial empiric material. Theoretical analysis of basic viewpoints on the nature of buildup of universities' social responsibility was conducted. Basing on the socio-cultural approach to analysis of the mission and lines of the universities' activities, the authors generalized modern practices of social responsibility realization and gave insight into prospective lines of the universities' activity in the context of socio-economic development of Russian regions. As a working hypothesis, it has been assumed that it is human and professional experience of regional leaders that has considerable influence on formation of universities' and regions' mutual social responsibility for realization of socio-economic objectives of the regional development. Finally, conclusions about horizons and ways of enhancement of the role of social responsibility within the system of interrelations between universities and regions were formulated

KEY DEVELOPMENT FACTORS OF THE TRANSIT AND TRANSPORT POTENTIAL OF KAZAKHSTAN

Summary. Nowadays, the Republic of Kazakhstan is dynamically forming up its transit policy, improving its directions and the development of new vectors. This article looks into the development of the transit and transport potential of the Republic of Kazakhstan. It presents the main conclusions on the development of a feasibility study for the construction of a logistics terminal in the seaport of Lianyungang (China) as one of the directions of building transit policy, improving its direction and the formation of new vectors. The urgency of building a logistics terminal is conditioned by the necessity for national interests and further expansion of political and economic advantages of Kazakhstan

CLUB COMMUNICATION AS THE BASIS FOR SOCIAL AND CULTURAL ACTIVITIES

Purpose of the Study: The article considers the phenomenon of club communication and possibilities of realizing its pedagogical potential by means of social and cultural activities. Methodology: The differentiated analysis of various directions of club communication in the aspect of improving the performance of cultural and art institutions has been carried out. Club communication in this regard is considered as an alternative to the dominance of formalized and regulated communications, blocking the development of an individual as a creative subject. Main Findings: The main characteristics of the organization of club communication processes for solving various psychological problems are identified. Various types of club communication are offered that form the basis of socio-cultural activities. Originality: The problem areas for further improvement of socio-cultural activities using the pedagogical content of created situations of interpersonal communication are identified

Development of PancRISK, a urine biomarker-based risk score for stratified screening of pancreatic cancer patients

© The Author(s) 2019. Published by Springer Nature on behalf of Cancer Research UK.BACKGROUND: An accurate and simple risk prediction model that would facilitate earlier detection of pancreatic adenocarcinoma (PDAC) is not available at present. In this study, we compare different algorithms of risk prediction in order to select the best one for constructing a biomarker-based risk score, PancRISK. METHODS: Three hundred and seventy-nine patients with available measurements of three urine biomarkers, (LYVE1, REG1B and TFF1) using retrospectively collected samples, as well as creatinine and age, were randomly split into training and validation sets, following stratification into cases (PDAC) and controls (healthy patients). Several machine learning algorithms were used, and their performance characteristics were compared. The latter included AUC (area under ROC curve) and sensitivity at clinically relevant specificity. RESULTS: None of the algorithms significantly outperformed all others. A logistic regression model, the easiest to interpret, was incorporated into a PancRISK score and subsequently evaluated on the whole data set. The PancRISK performance could be even further improved when CA19-9, commonly used PDAC biomarker, is added to the model. CONCLUSION: PancRISK score enables easy interpretation of the biomarker panel data and is currently being tested to confirm that it can be used for stratification of patients at risk of developing pancreatic cancer completely non-invasively, using urine samples.Peer reviewe

Analysis on Investment of Small and Medium Entrepreneurship

The article presents the results of the author's analysis and evaluation of investments in small and medium entrepreneurship, the empirical testing of hypotheses about the presence of the differentiation value of investment and the possibility of describing the existing regularities with the use of economic and mathematical models. During models` constructing we used official statistical indicators characterizing the set of small enterprises, medium enterprises and individual entrepreneurs in all regions of the Russian Federation. There are two classes of models describing the volumes of investments accounted, respectively, to one entrepreneurial structure and one employee. Logical and statistical analysis showed that all developed models are approximate well  the original data over the entire range of their changes. It is proved that the volume of investment, both in terms of entrepreneurial structure and one of its employees differs significantly depending on the number of employees of entrepreneurial structures, regions, and economic activities, which specialize in entrepreneurial structures. The developed model and the resulting patterns can be used to solve a wide range of tasks while monitoring business activities, development design and forecasting in this sector of the economy at the federal, regional and municipal levels of management. Keywords: Small and medium enterprises; individual entrepreneurs; investment; economic and mathematical models; regions of the country. JEL Classifications: L26; O1