Thermoplastique Degradation under Heat and Irradiation

The aim of the article is to highlight the effect of the environment on the properties of a polycarbonate (PC). It consists in aging this material under Ultra-violet (UV) combined with temperature for different periods of time, and to reveal the physicochemical and mechanical changes caused by aging. PC is a highly valued technical material for its various important characteristics and low cost. It finds its application in various fields but mainly in those whose requirements are the transparency and the impact resistance. The physicochemical and mechanicals characterizations of the marketed polycarbonate are necessary in order to highlight its intrinsic properties and to develop strategies that can improve its lifespan. In this work, we highlight the physicochemical and mechanical characteristics of virgin and aged polycarbonate. For this, analytical techniques and mechanical tests were used. A comparison of the characteristics revealed the combined effects of temperature and ultraviolet rays.

Analysis of Bitcoin Prices using Deep Learning Techniques

Project training - these projects are done for specific subjects without discussing methods that require knowledge and level of technical material. This paper discusses the design and implementation of project training in information technology as a major project that requires student creativity and describes the project clearly and concisely. These projects not only develop basic or technical skills but also practical skills. The goal of the modern student project is to show how trained machine models can predict cryptocurrency security if we allow appropriate levels of information and computing power. The diagram shows the approximate value. Conventional technology is way out of technology that can help people predict future events. With so much data being generated and stored daily, we are finally approaching an age where predictions are made from accurate and accurate data. Besides, with the advent of the digital currency era, more and more leaders have entered the digital investment market. This allows us to create models that can predict cryptocurrencies, especially Bitcoin. This can be done through several types of machine learning methods and in-depth learning and learning methods.

Method of evaluating transport tasks in the army with the use of mathematical modelling

The article analyzes military transport operating within the Armed Forces logistics system. The proprietary method of its evaluation was presented. The technical subsystem has been characterized with the specification of the requirements it is faced with. General criteria for the assessment of the technical subsystem were identified, distinguishing the equipment, personnel, technical material resources, training and experience of soldiers, as well as their combat readiness and flexibility. The essential part of the discussion is devoted to empirical evaluation. It was made through the analysis of completed transport tasks. The research conducted with respect to the mileages of motor vehicles allows to ascertain whether the system is sufficient to meet the current needs. The mathematical model proposed allows to estimate the development tendency, based on which it is possible to formulate improvement proposals.

Using Talanoa to develop bilingual word lists of technical vocabulary in the trades

It is important for anyone entering a profession to learn their profession’s specialised language. This is also true of those learning trades such as automotive technology or plumbing. Knowledge of specialised language allows trades professionals to speak to other professionals and read technical material. Although this technical language is new to all students, learning it is harder for students learning in a second language. In this article we provide support for this learning for students from the Pacific Island nation of Tonga, who are studying a trade in English either in Tonga or abroad. In prior work we developed technical word lists in four trades, identifying the technical vocabulary in a 1.6 million-word corpus of course material. In this article, we extend that research by developing bilingual English-Tongan word lists, using culturally appropriate Talanoa methodology to draw on the specialist knowledge of Tongan-speaking trades’ professionals. Translation revealed that numerous technical words do not have a direction translation in Tongan, particularly infrequent English words. It also revealed words with a clear Tongan equivalent, and Tonganised English words. The bilingual word lists will benefit Tongan trades’ trainees in Tonga and those who are migrants to English countries. This is an Accepted Manuscript of an article published by Taylor & Francis in 'International Journal of Bilingual Education and Bilingualism' on 2017-09-17, available online: https://www.tandfonline.com/10.1080/13670050.2017.1374329.

Using Talanoa to develop bilingual word lists of technical vocabulary in the trades

It is important for anyone entering a profession to learn their profession’s specialised language. This is also true of those learning trades such as automotive technology or plumbing. Knowledge of specialised language allows trades professionals to speak to other professionals and read technical material. Although this technical language is new to all students, learning it is harder for students learning in a second language. In this article we provide support for this learning for students from the Pacific Island nation of Tonga, who are studying a trade in English either in Tonga or abroad. In prior work we developed technical word lists in four trades, identifying the technical vocabulary in a 1.6 million-word corpus of course material. In this article, we extend that research by developing bilingual English-Tongan word lists, using culturally appropriate Talanoa methodology to draw on the specialist knowledge of Tongan-speaking trades’ professionals. Translation revealed that numerous technical words do not have a direction translation in Tongan, particularly infrequent English words. It also revealed words with a clear Tongan equivalent, and Tonganised English words. The bilingual word lists will benefit Tongan trades’ trainees in Tonga and those who are migrants to English countries. This is an Accepted Manuscript of an article published by Taylor & Francis in 'International Journal of Bilingual Education and Bilingualism' on 2017-09-17, available online: https://www.tandfonline.com/10.1080/13670050.2017.1374329.

DEVELOPMENT OF THE NETWORKS OF PHYSICAL CULTURE AND SPORT FACILITIES AND OF THE TECHNICAL-MATERIAL BASE ON THE TERRITORY OF THE REPUBLIC OF MOLDOVA

In the Republic of Moldova, the socio-economic efficiency of Spa Facilities and Sport Facilities should ensure the main goal of physical culture – namely increasing the number of students and improving working conditions. If in the past the operational efficiency of Spa Facilities and Sport Facilities was hampered by the total disinterest of their work teams (due to the existing economic mechanism) in improving work, now it is the complete opposite: unlimited freedom means that Spa Facilities and Sport Facilities do not work at all, or are rented or that there is a strong increase in prices for services. This research enphasises a realistic perspective of the sport culture developpement in the Republic of Moldova based of the observation and practices.

Identifying Elastic Constants for PPS Technical Material When Designing and Printing Parts Using FDM Technology

This paper introduces a methodology to study the anisotropic elastic constants of technical phenylene polysulfide thermoplastic (PPS), printed using fused deposition modeling (FDM) in order to provide designers with a guide to achieve the required mechanical properties in a printed part. The properties given by the manufacturer are usually taken from injected samples and these are not the real properties for printed parts. Compared to other plastic materials, PPS offers higher mechanical and thermal resistance, lower moisture absorption, higher dimensional stability, is highly resistant to chemical attacks and environmental aging, and its fireproof performance is good. One of the main difficulties presented when calculating and designing for FDM printing is that printed parts present anisotropic behavior i.e., they do not have the same properties in different directions. Haltera-type samples were printed in the three manufacturing directions according to optimum parameters for material printing, aimed at calculating the anisotropic matrix of the material. The samples were tested in order to meet standards and values for elastic modulus, shear modulus and tensile strength were obtained, using Digital Image Correlation System to measure the deformations. An approximated transversally isotropic matrix was defined using the obtained values. The fracture was analyzed using SEM microscopy to check whether the piece was printed correctly. Finally, the obtained matrix was validated by a flexural test and a finite element simulation.

The nascent case for adopting Jupyter notebooks as a pedagogical tool for interdisciplinary Humanities, Social Science, and Arts education

Many societal opportunities and challenges, both current and future, are either inter- or transdisciplinary in nature. Focus and action to cut across traditional academic boundaries has increased in research and, to a less extent, teaching. One successful collaboration has been the augmentation of fields within the Humanities, Social Sciences, and Arts by integrating complementary tools and methods originated from STEM. This trend is gradually materializing in formal undergraduate and secondary education. The proven effectiveness of Jupyter notebooks for teaching and learning STEM practices gives rise to a nascent case for education seeking to replicate this interdisciplinary design to adopt notebook technology as the best pedagogical tool for this job. This article presents two sets of data to help argue this case. The first set of data demonstrates the art of the possible. A sample of undergraduate and secondary level courses showcases existing or recent work of educational stakeholders in the US and UK who are already pioneering instruction where computational and data practices are integrated into the study of the Humanities, Social Sciences, and Arts, with Jupyter notebooks chosen as a central pedagogical tool. Supplementary data providing an overview of the types of technical material covered by each course syllabi further evidences what interdisciplinary education is perceived to be or is already feasible using this Jupyter technology with student audiences of these levels. The second set of data provides more granular, concrete insight derived from user experiences of a handful of the courses from the sample. Four instructors and one student describe a range of pedagogical benefits and value they attribute to the use of Jupyter notebooks in their course(s). In presenting this nascent case, the article aims to stimulate the development of Jupyter notebook-enabled, computational data-driven interdisciplinary education within undergraduate and secondary school programs.