abstracttask-based language teaching is considered an effective way to achieve a harmony between grammar and communication. the present study investigates two different ways of teaching modal verbs: task-based versus traditional approaches. to this purpose, an oxford placement test was administered to select 40 homogeneous participants out of a larger population who took this test. the selected...

Abstract Task-based language teaching is considered an effective way to achieve a harmony between grammar and communication. The present study investigates two different ways of teaching modal verbs: task-based versus traditional approaches. To this purpose, an Oxford Placement Test was administered to select 40 homogeneous participants out of a larger population who took this test. The selecte...

This paper proposes a modal extension of Separation Logic [8, 11] for reasoning about data-parallel programs that manipulate heap allocated linked data structures. Separation Logic provides a formal means for expressing allocation of disjoint substructures, which are to be processed in parallel. A modal operator is also introduced to relate the global property of a parallel operation with the l...

A modal decomposition strategy based on state-variable ensembles is formulated. A nonsymmetric, generalized eigenvalue problem is constructed. The data-based eigenvalue problem is related to the generalized eigenvalue problem associated with free-vibration solutions of the state-variable formulation of linear multi-degree-of-freedom systems. For linear free-response data, the inverse-transpose ...

Routine clinical visits of a patient produce not only image data, but also non-image data containing information regarding the patient, i.e., medical is multi-modal in nature. Such heterogeneous modalities offer different and complementary perspectives on same resulting more accurate decisions when they are properly combined. However, despite its significance, how to effectively fuse into unifi...

Multi-modal semantics has relied on feature norms or raw image data for perceptual input. In this paper we examine grounding semantic representations in olfactory (smell) data, through the construction of a novel bag of chemical compounds model. We use standard evaluations for multi-modal semantics, including measuring conceptual similarity and cross-modal zero-shot learning. To our knowledge, ...