THE FREQUENCY AND FUNCTIONS OF TEACHERS’ USE OF MOTHER TONGUE IN EFL CLASSROOMS

Whether mother tongue should be used in EFL classroom or not is a controversial issue and has not yet reached a consensus among teachers and researchers. While some argue that the use of mother tongue inhibits language learning, others claim that it saves time and energy for both language teachers and students and enhances mutual understanding between them. Although a number of studies explore the use of mother tongue in EFL classrooms, few have been conducted to investigate how often teachers in non-English major classes code-switch, that is, change from English to mother tongue and why they do that. In such a context, the current study examined the use of code-switching by teachers in EFL classroom in a medical college in Vietnam by means of classroom observations and voice recording analysis. The findings revealed that in teaching English to nursing students in this medical college, the teachers did code-switch to a great extent for the main purpose of enhancing their students’ English comprehension and competence. Suggestions are proposed to raise EFL teachers’ awareness on how and when to code-switch so that their teaching can be optimized.  Article visualizations

Predicting Information Diffusion on Twitter - Analysis of predictive features

Information propagation on online social network focuses much attention in various domains as varied as politics, fact checking, or marketing. Modeling information diffusion in such growing communication media is crucial in order both to understand information propagation and to better control it. Our research aims at predicting whether a post is going to be forwarded or not. Moreover, we aim at predicting how much it is going to be diffused. Our model is based on three types of features: user-based, time-based and content-based. Using three collections corresponding to a total of about 16 millions of tweets, we show that our model improves of about 5% F-measure compared to the state of the art, both when predicting if a tweet is going to be re-tweeted and when predicting how popular it will be. F-measure in our model is between 70% and 82%, depending on the collection. We also show that some features we introduced are very important to predict retweetability such as the numbers of followers and number of communities that a user belongs to. Our contribution in this paper is twofold: firstly we defined new features to represent tweets in order to predict their possible propagation; secondly we evaluate the model we built on top of both features from the literature and features we defined on three collections and show the usefulness of our features in the prediction

Types of momentum defect diffusion at the begining of the wake and wake establishment zone for the coupled wake and comparison with the isolated wake

The article [10] has presented the necessity of the classification into two types: Isolated wakes and coupled wakes. In this report, different types of momentum defect diffusion at the beginning of wake are analyzed for the two types of coupled wake and isolated wake. According to ·numerical results obtained, we analyses the existence - long or short - of the wake establishment zone before the wake established zone, and this zone is very different between isolated wake and coupled wake

Influences of the compressibility on aerodynamic characteristics of profile under the transonic flow theory

Transonic flows are complex problems. At certain Mach numbers, in gas flows there are local transitions from the subsonic into the supersonic and reciprocally, especially the discontinuity throughout shock waves. Subsonic flows and supersonic flows have very different properties, thus calculation methods are also different-the subsonic equation is elliptic and the supersonic equation is hyperbolic. Using established programs (based on the incompressible theory, the compressible theory and the transonic theory), we studied sub-transonic flow characteristics with variations of the Mach number. Our studies are also carried out with variations of incidence, which impact on t he transonic effect. Numerical results show that the local compressibility depends on not only the speed but also the incidence. At a rather great angle of attack, local supersonic regions can appear with free Mach numbers in the order of 0.3 - the Mach number is normally considered as a speed of incompressible flows. According to these results, we can recognize for which regime the local compressibility of flow is considerable and then it is necessary to consider the problem under the transonic flow theory

Management current land use of perennial industrial crops by NDVI index: A case study in Chu Se District, Gia Lai Province, Vietnam: Research article

Remote sensing and Geographic Information System (GIS) - an effective tool for managing naturalresources, is quite common application in establishing thematic maps. However, the application of this modern technology in natural resource management has not yet been popular in Vietnam, particularly mapping the land use/cover. Currently, land use/cover map is constructed as traditional methods and gets limitations of management counting due to time-consuming for mapping andsynthesis the status of land use/cover. Hence, information on the map is often outdated and inaccurate.The main objective of this study is to upgrade the accuracies in mapping current perennialcrops in Chu Se District, Gia Lai Province in Vietnam by interpreted NDVI index (Normalized Difference Vegetation Index) from Landsat 8-OLI (Operational Land Imager). The results of studyis satisfied the urgent of practical requirement and scientific research. There are 3 types of perennial industrial plants in the study area including rubber, coffee, and pepper, in which most coffee isgrown, with an area of over 10,000 hectares. The results also show that integration of remote sensing and GIS technology enables to map current management and distribution of perennial industrialplants timely and accurately. This application is fully consistent with the trend of the world, and in accordance with regulations of established land use/cover map, and the process could be appliedat other districts /towns or in higher administrative units.Viễn thám và hệ thông tin địa lý (GIS) là công cụ hữu hiệu để quản lý tài nguyên thiên nhiên, được ứng dụng khá phổ biến để thành lập các loại bản đồ. Tuy nhiên, việc áp dụng công nghệ hiện đại này trong lĩnh vực quản lý tài nguyên thiên nhiên ở Việt Nam chưa phổ biến, nhất là công tác xây dựng bản đồ hiện trạng sử dụng/độ phủ đất. Việc xây dựng bản đồ hiện trạng hiện nay vẫn theo phương pháp truyền thống, thường gặp nhiều hạn chế do thời gian tổng hợp và xây dựng bản đồ hiện trạng kéo dài, dẫn đến thông tin trên bản đồ bị lạc hậu và không chính xác. Mục tiêu chính của nghiên cứu này là nâng cao độ chính xác kết quả giải đoán ảnh viễn thám Landsat 8 bằng chỉ số NDVI (chỉ số khác biệt thực vật) để thành lập bản đồ hiện trạng sử dụng đất cây công nghiệp lâu năm ở huyện Chư Sê, tỉnh Gia Lai, Việt Nam. Từ đó quản lý hiện trạng sử dụng loại đất này phù hợp yêu cầu cấp bách thực tiễn sản xuất và nghiên cứu khoa học. Kết quả của nghiên cứu cho thấy có 3 loại hình cây công nghiệp trên địa bàn nghiên cứu gồm cây cao su, cà phê và hồ tiêu, trong đó cây cà phê được trồng nhiều nhất, với diện tích hơn 10.000 ha. Nghiên cứu cũng cho thấy, tích hợp công nghệ viễn thám và GIS cho phép quản lý hiện trạng và phân bố cây công nghiệp trong không gian một cách hiệu quả và nhanh chóng. Ứng dụng này hoàn toàn phù hợp với xu hướng của thế giới, đồng thời theo đúng quy định thành lập bản đồ hiện trạng sử dụng đất, và quy trình này có thể thực hiện được ở cấp huyện/thị xã hoặc đơn vị hành chính cấp cao hơn

Predicting Information Diffusion on Twitter - Analysis of predictive features

Information propagation on online social network focuses much attention in various domains as varied as politics, fact checking, or marketing. Modeling information diffusion in such growing communication media is crucial in order both to understand information propagation and to better control it. Our research aims at predicting whether a post is going to be forwarded or not. Moreover, we aim at predicting how much it is going to be diffused. Our model is based on three types of features: user-based, time-based and content-based. Using three collections corresponding to a total of about 16 millions of tweets, we show that our model improves of about 5% F-measure compared to the state of the art, both when predicting if a tweet is going to be re-tweeted and when predicting how popular it will be. F-measure in our model is between 70% and 82%, depending on the collection. We also show that some features we introduced are very important to predict retweetability such as the numbers of followers and number of communities that a user belongs to. Our contribution in this paper is twofold: firstly we defined new features to represent tweets in order to predict their possible propagation; secondly we evaluate the model we built on top of both features from the literature and features we defined on three collections and show the usefulness of our features in the prediction

Development of a Theoretical Framework for Local Japanese Language Education for Citizen Development: Focusing on the Career Development of Foreign Technical Interns

本稿は、市民育成のための地域社会における日本語教育の原理や方法に関する理論的枠組みを構築しようとするものである。その際、特に外国人技能実習生に対する日本語教育を対象として取り上げ、技能実習生のキャリア形成に焦点をあて、それに対して日本語教育がどのように役立つかを、先行研究の分析を通して理論的に考察していく。外国人技能実習生が直面している問題としては、地域社会に参加する市民を育成するための内容が組み込まれていないことによって、彼ら・彼女らのキャリア形成につながる学習が十分に保障されていないことが挙げられる。本稿では、市民育成と日本語教育の関連について考察した先行研究を分析し、外国人が日本社会の中で個々の生き方を追求するにあたって、日本語教育がどのような役割を担うかを理論的に検討する。そのうえで、そのための学習の場としての地域日本語教育の可能性と意義を探る。This paper attempts to develop a theoretical framework for the principles and methods of Japanese language education in local communities for the development of citizens. In doing so, it will take up Japanese language education for foreign technical interns as a particular target, focus on the career development of technical interns, and theoretically consider how Japanese language education can be useful in this regard through an analysis of previous research. One of the problems facing foreign technical intern trainees is that they are not sufficiently assured of learning that will lead to their career development, because the content of their education does not incorporate the development of citizens who will participate in the local community. This paper analyzes previous studies on the relationship between citizenship development and Japanese language education, and theoretically examines the role of Japanese language education in helping foreigners to pursue their individual way of life in Japanese society. In addition, I will explore the possibility and significance of community Japanese language education as a p lace for lea rning for th is purpose

Extraction de Localisations dans les MicroBlogs

La circulation de l’information est de plus en plus rapide. Les applications comme WhatsApp ou Twitter permettent d’échanger des informations sur des évènements de façon quasi instantanée. Il s’agit de ressources précieuses desquelles peuvent être extraites des informations sur des événements (temps, localisation ou entité concernée). Nous nous centrons ici sur l’aspect localisation qui a de nombreuses applications aussi bien dans le cadre d’outils géospatialisés que pour des recommandations personnalisées. Dans le contexte de microblogs, les outils développés en traitement du langage naturel ne sont pas suffisants compte tenu de la forme des messages; par exemple les tweets ne sont pas linguistiquement corrects. Par ailleurs, le nombre important de messages à traiter est également un challenge. Dans ce article, nous présentons un modèle pour prédire si un microblog (tweet) contient une localisation ou non et nous montrons que cette prédiction améliore l’efficacité de l’extraction de localisations des tweets

Sustainable Marine Economic Development in Vietnam in the Period 2011-2018

This work is to test the hypothesis of sustainable economic development by using a linear structural model. The structural equations in the structural model show that, the social development goals depend on economic growth and environmental protection goals, namely (Social target) = 1.22 * (Economic target) - 0.064 * (Environment target) and economic  development target depend on social development goals and environmental protection goals, namely (Economy target) = 1.35 * (Social target) - 0.039 * (Environment target). The result show that both economic and social development have an adverse environmental impact that will no longer harmonize goals, reflecting the unsustainable marine economic development in the period of 2011-2018. There have many factors of unsustainable marine economic development in period 2011-2018, but mainly is low economic growth efficiency, low labor productivity and  the process of urbanization does not truly create a foundation for economic development

Calculation of transonic flows around profiles with blunt and angled leading edges

Transonic flow is a mixed flow of subsonic and supersonic regions. Because of this mixture, the solution of transonic flow problems is obtained only when solving the differential equations of motion with special treatments for the transition from subsonic region to supersonic region and vice versa. We built codes solving the full potential equation and Euler equations by applying the finite difference method and finite volume method, and also associated with software Fluent to consider the viscous effects. The analysis of results calculated for cases of transonic flow over profiles with blunt and angled leading edges shows more clearly the physical nature of the gas - solid interaction at leading edges in the mixed flow and the optimal application of each profile in transonic flows