In the present article we analyze the relationship between ambient illuminations and psychological effects while viewing still images displayed on a liquid crystal display (LCD). In two experiments, six kinds of images were displayed on the LCD under different brightness of illumination conditions and were rated by 15 observers, and four kinds of images were displayed under different colors of illumination conditions and were rated by 27 observers. The semantic differential method and factor analysis method are introduced to analyze the subjective evaluation. It is shown that comfort in viewing is enhanced according to the increase in brightness of the ambient illumination. Particularly, realistic sensation and dynamism are enhanced while retaining comfort with the illumination behind the LCD. It is also shown that realistic sensation and dynamism and comfort are enhanced under the illumination of average chromaticity of displayed images.

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Interactions between virulence factors of pathogens and host responses play an important role in the establishment of infection by microbes. We focused on interactions between Cryptococcus neoformans proteins and heparin, which is abundant on host epithelial cells. Surface proteins were extracted and analyzed. Fractions from anion-exchange column chromatography interacted with heparin in surface plasmon resonance analyses. Heparin-binding proteins were purified and then separated by gel electrophoresis; and were identified as transaldolase, glutathione-disulfide reductase, and glyoxal oxidase. These results imply that multifunctional molecules on C. neoformans cells, such as those involved in heparin binding, may play roles in adhesion that trigger responses in the host.

SUMMARYDue to the development and popularization of highdefinition televisions, digital video cameras, Blu-ray discs, digital broadcasting, IP television and so on, it plays an important role to identify and quantify video quality degradations. In this paper, we propose SV-CIELAB which is an objective video quality assessment (VQA) method using a spatio-velocity contrast sensitivity function (SV-CSF). In SV-CIELAB, motion information in videos is effectively utilized for filtering unnecessary information in the spatial frequency domain. As the filter to apply videos, we used the SV-CSF. It is a modulation transfer function of the human visual system, and consists of the relationship among contrast sensitivities, spatial frequencies and velocities of perceived stimuli. In the filtering process, the SV-CSF cannot be directly applied in the spatial frequency domain because spatial coordinate information is required when using velocity information. For filtering by the SV-CSF, we obtain video frames separated in spatial frequency domain. By using velocity information, the separated frames with limited spatial frequencies are weighted by contrast sensitivities in the SV-CSF model. In SV-CIELAB, the criteria are obtained by calculating image differences between filtered original and distorted videos. For the validation of SV-CIELAB, subjective evaluation experiments were conducted. The subjective experimental results were compared with SV-CIELAB and the conventional VQA methods such as CIELAB color difference, Spatial-CIELAB, signal to noise ratio and so on. From the experimental results, it was shown that SV-CIELAB is a more efficient VQA method than the conventional methods. key words: objective video quality assessment, spatio-velocity contrast sensitivity function, image diffrence, subjective evaluation, rank order correlation coefficient

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