Due to the short duration and low intensity of micro-expressions, the recognition of micro-expression is still a challenging problem. In this paper, we develop a novel multi-task mid-level feature learning method to enhance the discrimination ability of extracted low-level features by learning a set of class-specific feature mappings, which would be used for generating our mid-level feature rep...

A micro-level agent-based model of innovation diffusion was developed that explicitly combines (a) an individual's perception of the advantages or relative utility derived from adoption, and (b) social influence from members of the individual's social network. The micro-model was used to simulate macro-level diffusion patterns emerging from different configurations of micro-model parameters. Mi...

background: the use of nanotechnology has led to rapid growth in various areas. thus, health and safety issues of nanoparticles (nps) should be promptly addressed. manganese oxide (mno2) nanoparticles (nps) are typically used for biomedical and industrial applications. however, characterizing the potential human health effects of mno2 nps is required before fully exploiting these materials. the...

Causal interactions within complex systems can be analyzed at multiple spatial and temporal scales. For example, the brain can be analyzed at the level of neurons, neuronal groups, and areas, over tens, hundreds, or thousands of milliseconds. It is widely assumed that, once a micro level is fixed, macro levels are fixed too, a relation called supervenience. It is also assumed that, although mac...

......As guest editors of this IEEE Micro special issue and co-chairs of the selection committee, it’s our pleasure to introduce the ninth annual edition of IEEE Micro’s Top Picks from the Computer Architecture Conferences. In recent years, Top Picks has rapidly become a tradition in the computer architecture community, an important recognition of research excellence, and a great opportunity to...

Background and Objectives: The goal of current study is to evaluate the performance of hospitals and their departments. This manuscript aimed at estimation of the most productive scale size (MPSS), returns to scale (RTS), and benchmarking for inefficient hospitals and their departments. Methods: The radial and non-radial data envelopment analysis (DEA) ap...

Ni based magnetic shape memory alloys (MSMAs) have broad applications in actuators and MEMS devices. Two-stage stress induced martensitic phase transformation, a widely observed phenomenon in these alloys, is described conventionally as a fi rst stage L21 (austenite)-to-10M/14M (M: modulated martensite) transition, followed by a second stage 14M-to-L10 (tetragonal martensite) transformation at ...