Cross-lingual part-of-speech tagging using word embedding

As one of semi-supervised learning approach, cross-lingual projection leverages existing resources from a resource-rich language when building tools for resource-poor languages. In this paper we attempt to make use of word embedding with anchor based label propagation to improve the accuracy of a cross-lingual projection task: cross-lingual part-of-speech tagging under the graph-based framework. Our approach uses bilingual parallel corpora and labeled data from the resource-rich side assuming that there is no labeled data or only a few labeled data in resource-poor language. The results suggest the efficacy of our approach over traditional label propagation with lexical feature for projecting part-of-speech information across languages, and show that a few of labeled data help to enhance the effect a lot in cross-lingual task

Actual Measurement and Analysis on Microbial Contamination in Central Air Conditioning System at a Venue in Dalian, China

AbstractActual measurement and analysis were carried out on microbial contamination in central air conditioning system at a venue in Dalian. By studying the microbial contamination in two air handling units with different thermal environments, we found that the fungi and bacteria were common existing on the surface of filter, and the trend of cell density distribution was center > against the wall > corner; The microbial pollution associated in the dust and floating in the air was extremely serious. By comparing the two units, we observed that fungus concentration: Unit A > Unit B, and bacteria concentration: Unit A < Unit B,. And the candida spp. accounted for 80 percent of the sample in Unit A; while in Unit B the cladosporium spp. occupied up to 50%. At the end of the paper, according to the results of measurement and analysis, the methods of controlling microbial contamination in HVAC system have been proposed

Direct Imaging of Kinetic Pathways of Atomic Diffusion in Monolayer Molybdenum Disulfide

Direct observation of atomic migration both on and below surfaces is a long-standing but important challenge in materials science as diffusion is one of the most elementary processes essential to many vital material behaviors. Probing the kinetic pathways, including metastable or even transition states involved down to atomic scale, holds the key to the underlying physical mechanisms. Here, we applied aberration-corrected transmission electron microscopy (TEM) to demonstrate direct atomic-scale imaging and quasi-real-time tracking of diffusion of Mo adatoms and vacancies in monolayer MoS 2, an important two-dimensional transition metal dichalcogenide (TMD) system. Preferred kinetic pathways and the migration potential-energy landscape are determined experimentally and confirmed theoretically. The resulting three-dimensional knowledge of the atomic configuration evolution reveals the different microscopic mechanisms responsible for the contrasting intrinsic diffusion rates for Mo adatoms and vacancies. The new insight will benefit our understanding of material processes such as phase transformation and heterogeneous catalysis