Anthropogenic climate change is leading to widespread losses around the world. While focus of research over last decade has largely been on economic or tangible losses, researchers have begun shift their understanding non-economic intangible dimensions loss more deeply. Loss life, biodiversity and social cohesion are some that beginning be explored, along with Indigenous local knowledge (ILK) c...

Size-dependent longitudinal and torsional vibrations of nano-beams are examined by two-phase mixture integral elasticity. A new and efficient elastodynamic model is conceived by convexly combining the local phase with strain- and stress-driven purely nonlocal phases. The proposed stress-driven nonlocal integral mixture leads to well-posed structural problems for any value of the scale parameter...

The task of constructing knowledge bases is a difficult one due to their size and complexity. A useful aid for this task would be a system which has both knowledge about a particular knowledge representation scheme and tools with which to manipulate the representation’s components. Such a system would be a knowledge maniupulation sysThe remainder of the paper discusses taxonomic representation,...

The present study was conducted to evaluate data driven learning (DDL) combined with Computer Assisted Language Learning (CALL) as an approach to improving vocabulary knowledge of Iranian postgraduates majoring in teaching English, English literature and translation. The purpose was to help language learners get familiar with DDL as a student-centered method taking advantage of a computer progr...

Knowledge-driven activity recognition is an emerging and promising research area which has already shown very interesting features and advantages. However, there are also some drawbacks, such as the usage of generic and static activity models. This paper presents an approach to using data-driven techniques to evolve knowledge-driven activity models with a user’s behavioral data. The approach in...

The present study was conducted to evaluate data driven learning (DDL) combined with Computer Assisted Language Learning (CALL) as an approach to improving vocabulary knowledge of Iranian postgraduates majoring in teaching English, English literature and translation. The purpose was to help language learners get familiar with DDL as a student-centered method taking advantage of a computer progr...