BackgroundOn March 11, 2011, Japan experienced an unprecedented combination of earthquake/tsunami/nuclear accidents (the Great East Japan Earthquake; GEJE). We sought to identify mental health and psychosocial consequences of this compound disaster.MethodA systematic literature review was conducted of quantitative research articles addressing mental health of survivors and the psychological impact of the GEJE. For articles between March 2011 and December 2014, PubMed, PsychINFO, and EMBASE databases were searched with guidance on literature review method.ResultsForty-nine studies met the inclusion criteria. A substantial proportion of the affected individuals experienced considerable psychological distress. Mental health outcomes included, but were not limited to, posttraumatic stress disorder, depression, and anxiety symptoms. Physical health changes, such as sleeping and eating disturbances, also occurred. In Fukushima, radioactive release induced massive fear and uncertainty in a large number of people, causing massive distress among the affected residents, especially among mothers of young children and nuclear plant workers. Stigma was additional challenge to the Fukushima residents. The review identified several groups with vulnerabilities, such as disaster workers, children, internally displaced people, patients with psychiatric disorders, and the bereaved.ConclusionsFollowing the GEJE, a considerable proportion of the population was mentally affected to a significant degree. The affected individuals showed a wide array of mental and physical consequences. In Fukushima, the impact of nuclear disaster was immense and complex, leading to fear of radiation, safety issues, and stigma issues.

BackgroundIn people with chronic illnesses, self-management education can reduce anxiety and depression. Those benefits, however, decay over time. Efforts have been made to prevent or minimize that “decay of impact”, but they have not been based on information about the decay’s characteristics, and they have failed. Here we show how the decay’s basic characteristics (prevalence, timing, and magnitude) can be quantified. Regarding anxiety and depression, we also report the prevalence, timing, and magnitude of the decay.MethodsAdults with various chronic conditions participated in a self-management educational program (n = 369). Data were collected with the Hospital Anxiety and Depression Scale four times over one year. Using within-person effect sizes, we defined decay of impact as a decline of ≥0.5 standard deviations after improvement by at least the same amount. We also interpret the results using previously-set criteria for non-cases, possible cases, and probable cases.Results Prevalence: On anxiety, decay occurred in 19% of the participants (70/369), and on depression it occurred in 24% (90/369). Timing: In about one third of those with decay, it began 3 months after the baseline measurement (6 weeks after the educational program ended). Magnitude: The median magnitudes of decay on anxiety and on depression were both 4 points, which was about 1 standard deviation. Early in the follow-up year, many participants with decay moved into less severe clinical categories (e.g., becoming non-cases). Later, many of them moved into more severe categories (e.g., becoming probable cases).ConclusionsDecay of impact can be identified and quantified from within-person effect sizes. This decay occurs in about one fifth or more of this program’s participants. It can start soon after the program ends, and it is large enough to be clinically important. These findings can be used to plan interventions aimed at preventing or minimizing the decay of impact.

Filipendula ulmaria, also known as meadowsweet, is an herb; its extract was examined for the prevention of histamine production, primarily that caused by contaminated fish. The efficacy of meadowsweet was assessed using two parameters: inhibition of Morganella morganii histidine decarboxylase (HDC) and inhibition of histamine accumulation in mackerel. Ellagitannins from F. ulmaria (rugosin D, rugosin A methyl ester, tellimagrandin II, and rugosin A) were previously shown to be potent inhibitors of human HDC; and in the present work, these compounds inhibited M. morganii HDC, with half maximal inhibitory concentration values of 1.5, 4.4, 6.1, and 6.8 μM, respectively. Application of the extracts (at 2 wt%) to mackerel meat yielded significantly decreased histamine accumulation compared with treatment with phosphate-buffered saline as a control. Hence, F. ulmaria exhibits inhibitory activity against bacterial HDC and might be effective for preventing food poisoning caused by histamine.

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Research on "man-machine interface" has increased in many fields of engineering and its application to facial expressions recognition is expected. The eigenface method by using the principal component analysis (PCA) is popular in this research field. However, it is not easy to compute eigenvectors with a large matrix if the cost of calculation when applying it for time-varying processing is taken into consideration. In this paper, in order to achieve high-speed PCA, the simple principal component analysis (SPCA) is applied to compress the dimensionality of portions that constitute a face. A value of cos θ is calculated using an eigenvector by SPCA as well as a gray-scale image vector of each picture pattern. By using neural networks (NNs), the difference in the value of cos θ between the true and the false (plastic) smiles is clarified and the true smile is discriminated. Finally, in order to show the effectiveness of the proposed face classification method for true or false smiles, computer simulations are done with real images. Furthermore, an experiment using the self-organisation map (SOM) is also conducted as a comparison.