scholarly journals Innovation System of "Base Group" in Outdoor Sports Practice Teaching in Universities

2019 ◽  
Author(s):  
Dongbiao Xu ◽  
Xiaohong Niu
Keyword(s):  
Innovation System ◽  
Outdoor Sports ◽  
Practice Teaching ◽  
Base Group

Research on Practice Teaching of Civil Engineering on the Basis of the Student Competition

2014 ◽  
Vol 599-601 ◽  
pp. 2007-2010
Author(s):  
Chao Hong Gao
Keyword(s):  
College Students ◽  
Civil Engineering ◽  
Innovation System ◽  
Teaching Mode ◽  
Practice Teaching ◽  
Meaning System ◽  
Practical Teaching

The Student Competition is the mass activities for College Students, is the effective way to cultivate innovative talents and promote the development of the practice innovation system in universities.Take practical teaching for students majoring in civil engineering as an example, combine the meaning system of the Student Competition ,and explore the practice teaching mode based on the Student Competition.

Ethnogeriatrics: Development and Application of the Cohort Analysis Tool

2014 ◽  
Vol 21 (2) ◽  
pp. 37-52
Author(s):  
Melen McBride
Keyword(s):  
Healthcare Professionals ◽  
Cohort Analysis ◽  
Analysis Tool ◽  
Speech Language Pathology ◽  
Clinical Tool ◽  
Research Activities ◽  
Key Concepts ◽  
Practice Teaching ◽  
Language Pathology ◽  
Significant Factors

Ethnogeriatrics is an evolving specialty in geriatric care that focuses on the health and aging issues in the context of culture for older adults from diverse ethnic backgrounds. This article is an introduction to ethnogeriatrics for healthcare professionals including speech-language pathologists (SLPs). This article focuses on significant factors that contributed to the development of ethnogeriatrics, definitions of some key concepts in ethnogeriatrics, introduces cohort analysis as a teaching and clinical tool, and presents applications for speech-language pathology with recommendations for use of cohort analysis in practice, teaching, and research activities.

“Triple Helix” in Russia’s Innovation System

2007 ◽  
pp. 123-135 ◽  
Author(s):  
I. Dezhina ◽  
V. Kiseleva
Keyword(s):  
Triple Helix ◽  
Government Regulation ◽  
Innovation System ◽  
Innovation Systems ◽  
Modern Theory

The article analyzes modern theory that explains the specificity of relationships among government, science and business in innovation systems - the "triple helix" concept. Factors that determine the appearance of new theory are systematized. The peculiarities of formation of "triple helix" in Russia are described, including the development of science, business and the system of government regulation in innovation sphere. The conclusion is made that currently in Russia only double linkages are formed.

Analisys of Innovation System Models

2006 ◽  
Vol 2 (3) ◽  
pp. 118-126
Author(s):  
I. S. Kuznecova ◽  
Keyword(s):  
Innovation System ◽  
System Models

Modeling and optimizing logistics, information, economic and financial intercluster cooperation using the ant colony optimization algorithm

2020 ◽  
Vol 26 (11) ◽  
pp. 2427-2447
Author(s):  
S.N. Yashin ◽  
E.V. Koshelev ◽  
S.A. Borisov
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Population Decline ◽  
Innovation System ◽  
Federal District ◽  
Original Model ◽  
Ant Colony ◽  
Industrial Agglomeration ◽  
Ant Colony Optimization Algorithm

Subject. This article discusses the issues related to the creation of a technology of modeling and optimization of economic, financial, information, and logistics cluster-cluster cooperation within a federal district. Objectives. The article aims to propose a model for determining the optimal center of industrial agglomeration for innovation and industry clusters located in a federal district. Methods. For the study, we used the ant colony optimization algorithm. Results. The article proposes an original model of cluster-cluster cooperation, showing the best version of industrial agglomeration, the cities of Samara, Ulyanovsk, and Dimitrovgrad, for the Volga Federal District as a case study. Conclusions. If the industrial agglomeration center is located in these three cities, the cutting of the overall transportation costs and natural population decline in the Volga Federal District will make it possible to qualitatively improve the foresight of evolution of the large innovation system of the district under study.

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