Sustained motivation is crucial to learning a second language (L2), and one way to support this can be through the mental visualisation of ideal L2 selves (Dörnyei & Kubanyiova, 2014). This paper reports on an exploratory study which investigated the possibility of using technology to create representations of language learners' ideal L2 selves digitally. Nine Chinese learners of L2 English we

Boreal forest ecosystems are predicted to experience more frequent summer droughts due to climate change, posing a threat to future forest health and carbon sequestration. Forestry is a regionally dominant land use where the managed secondary forests are typically even-aged forests with low structural and tree species diversity. It is not well known if managed secondary forests and unmanaged prima

The ongoing climate change can modulate the behavior of global vegetation and influence the terrestrial biosphere carbon sink. Past observation-based studies have mainly focused on the linear trend or interannual variability of the vegetation greenness, but could not explicitly deal with the effect of natural decadal variability due to the short length of observations. Here we put the variabilitie

This chapter looks at learner characteristics which are largely beyond the teacher’s control, and focuses on three factors that teachers can actively address to increase the effectiveness of instruction: learning styles, learner strategies and motivation. When learning and using an second language, learners may employ a number of strategies which are usually aimed at improving their performance. S

The current process of issuing industrial and mineral licenses is complex and time consuming. More specific, industry establishment generally makes environmental pollution. Such negative impact on environment is due to not using proper information and mechanisms for site selection and license issuance. This research suggests a new process/method based on WebGIS enable e-government to simplify the

The majority of spatial data users are inexperienced in spatial information science. This group of users cannot analyze spatial data and produce the required information. Therefore, the availability of mechanisms and applications for automatic and interoperable spatial data processing and information extraction is necessary. Generalization is one of the main geoprocesses, which is widely used. The

One of the main applications of polarimetric synthetic aperture radar (POLSAR) images is terrain classification. In this study, an algorithm is presented to extract optimized features of POLSAR images that are required for classification. The proposed algorithm involves three main steps: (i) feature extraction using decomposition algorithms, including both coherent and incoherent decomposition alg

Today’s traffic is one of the main concerns of urban managers. One of the solutions that have been proposed to reduce traffic is encourage people to use public transport instead of personal vehicles, so the quality of public transport should be increased. One way promoting public transport systems quality is creating urban traveler guidance system. In other hand, public transportation network is l

Effectiveness of management would be seen when we have to ensure the accuracy of the output. This is possible if the model predictions are done based on the behavior of desired phenomena in the real world, using appropriate organizing data in a Geo-spatial Information System. Therefore all the aspects of a phenomenon must be considered. But most Geo-spatial Information Systems' databases use a ver