Intellectual property as complex innovation projects component

The materials presented the possibilities development of intellectual property complex innovation projects modern highly effective science-based problems of improving the use of wastes of different industries on a complex enterprise that can provide all its energy needs alone. Some features of the possibilities of solving evidence-based problems of development of mechanisms for identifying syner-gistic processes, their scientific justification improving the use of wastes of different industries on a complex enterprise. The problem of wastes utilization and recycling is present as complex synergetic processes research and analysis of energy- and resource saving process-es for treatment of polymer wastes of various origin. The research focused on the study of issues such as the development of models of waste-modifying polymer. The investigation are focused in researching such problems as selection of scientific based methods of wastes to be utilized or recycled; the development of appropriated process flow sheets and choice of modifications additives and equipment for polymers waste recycling. The choice of appropriate plants with selected energy resources is very important for projects realization

Application of electronic educational resources in the preparation process for would be teachers of technologies

The article considers the use of electronic educational resources, as well as testing the feasibility of methods of applying this technology in the training of future teachers of technology. It is emphasized that updating and improving the forms, methods and means of teaching in higher pedagogical school significantly increase the level of information technology training of future specialists in technological education. In particular, electronic educational resources are used to simulate complex real events, situations, visualization of abstract information by dynamic representation of processes, demonstration of fragments of programs, movies, virtual tours and more. IT software allows modern teachers of technology education to combine text, graphics, animation, video and audio information, which significantly increases the level of learning material.In the conditions of integration of modern Ukraine into the European educational space, the form, methods and means of teaching in the higher pedagogical school need to be updated and unambiguously improved. The constant growth of educational information, the need for its analysis, assimilation, generalization, systematization and preservation, expanding the capabilities of the global Internet have led to the widespread introduction of information technology in the training of future professionals in higher education. After all, without knowledge of multimedia technologies, the ability to develop elements of e-educational resources, navigate in the modern information global space, it is impossible to achieve a high level of professionalism and become a competitive specialist.The application of technology of development and use of electronic educational resources can increase the effectiveness of active teaching methods for all forms of organization of the educational process in higher pedagogical institutions: at the stage of independent training of students, lectures, seminars, practical and laboratory classes

Promotion of Evidence-Based Practice Skill and Attitude Among Advanced Nurses

In response to the call by both the Institute of Medicine and Centers for Medicare and Medicaid Services for increased evidence-based practice (EBP) competence and activity by nurses, healthcare institutions worldwide face the challenge of including quality educative content for effective EBP training (Llasus et al., 2014). The purpose of this evidence-based improvement project is to investigate and address current levels of EBP skill and attitude among nursing professional development specialists in a Magnet hospital and provide data for continued improvement of EBP promotion initiatives for nurses. Conclusions synthesized from a review of literature highlight common barriers and facilitators to EBP implementation among nursing professionals and point to the importance of continued efforts to provide EBP instruction to nurses at all levels, emphasizing a need for institutional support and development of advanced nurses as EBP champions. Keywords: Evidence-based practice, EBP, EBP knowledge, EBP attitudes, EBP instructio

Organic Photovoltaics: Technologies and Manufacturing

It is assumed, that the organic electronics industries and organic solar cells in particular, are in the transition stage towards commercialization. The companies and R&D institutes in this area are moving now from research and development stage to manufacturing. The biggest challenges are how to scale from laboratory to full production, how to select the right tools and processes, and how to use tests and measurements to improve yield and quality. The step from lab-scale to volume production requires adjusting and optimizing of many system aspects, such as: a) deposition techniques and drying conditions, b) substrates, c) ink and solvent systems, d) electrodes and e) dimension of individual cells and modules. Each parameter has its influence on the performance of the final product. In this chapter we discuss a knowledge base concerning the influence of different parameters and process conditions on the performance, cost and lifetime of polymer solar cells

Influence of architecture and training dataset parameters on the neural networks efficiency in thermal nondestructive testing

Describes the perspective of the use of artificial neural networks in automated thermal non-destructive testing and defectometry systems. The influence of backpropagation neural networks architecture on the efficiency of defect classification and accuracy of determining their depth and thickness are analyzed. Considered the influence of volume and quality of training dataset on the efficiency of defect classification and accuracy of defectometry. Performance of neural networks is evaluated by quantitative indicators, such as MSE, relative error and Tanimoto criterion. The optimal neural network architecture for using in active thermal testing was established on the basis of experimental researches.Описано перспективність застосування штучних нейронних мереж в складі автоматизованих систем теплового неруйнівного контролю та дефектометрії. Проведено аналіз впливу архітектури мереж зворотного поширення помилки на ефективність класифікації дефектів та точність визначення їх глибини залягання і розкриву. Розглянуто основні алгоритми навчання нейронних мереж та досліджено їх результативність в задачах теплового контролю. Розглянуто вплив обсягу та якості навчальної вибірки на ефективність класифікації дефектів та точність дефектометрії. Проведено експериментальні дослідження, на основі яких уточнено модель оптимальної архітектури нейронних мереж для застосування в активному тепловому неруйнівному контролі.Описана перспективность применения искусственных нейронных сетей в составе автоматизированных систем теплового неразрушающего контроля и дефектометрии. Проведен анализ влияния архитектуры сетей обратного распространения ошибки на эффективность классификации дефектов и точность определения их глубины залегания и раскрытия. Рассмотрены основные алгоритмы обучения нейронных сетей и исследована их результативность в задачах теплового контроля. Рассмотрено влияние объема и качества обучающей выборки на эффективность классификации дефектов и точность дефектометрии. Проведены экспериментальные исследования, на основе которых уточнено модель оптимальной архитектуры нейронных сетей для применения в активном тепловом неразрушающему контроле