236 research outputs found

    PAMS: Platform for Artificial Market Simulations

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    This paper presents a new artificial market simulation platform, PAMS: Platform for Artificial Market Simulations. PAMS is developed as a Python-based simulator that is easily integrated with deep learning and enabling various simulation that requires easy users' modification. In this paper, we demonstrate PAMS effectiveness through a study using agents predicting future prices by deep learning.Comment: 7page

    Year-Round Grazing of Beef Cows on Pangolagrass (\u3ci\u3eDigitaria Decumbens\u3c/i\u3e Cv.Transvala) Pasture in Southern Area of Japan

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    The southern area of Japan (Okinawa) has a sub-tropical climate. In this area beef calf production is now based on year-round grazing on giant stargrass (Cynodon aethiopicus Clayton & Haylan). However, the numbers of beef cows in this area are increasing rapidly and a grass with higher productivity than giant stargrass is required. The objective of this experiment was to examine the possibility of using pangolagrass (Digitaria decumbens cv. Transvala) pasture in this area

    Lexical Items of Tok Pisin in Papua New Guinea 【Report】

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    Newly independent multilingual countries of Asia formulated language policies because of rapid modernization; however, there has been no clear policy in Papua New Guinea. The most popular lan-guage in Papua New Guinea, Tok Pisin, is experiencing difficulties in improving its expressive capacitydue to Anglicization. This study investigated the present characteristics of Anglicization in Tok Pisinwords. Data were collected from Wantok, the Tok Pisin newspaper. The results show that words bor-rowed from English have increased and these words interfere with the grammar of Tok Pisin, which hasdecreased the expressive capacity of the language

    Modeling of the Fukushima Daiichi Nuclear Power Plant Derived Radioactive Cesium Dynamics in Grazing Grassland

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    The damage to the Fukushima Daiichi Nuclear Power Plant incurred following the Great East Japan Earthquake and tsunami on March 11, 2011 resulted in serious radioactive pollution of Eastern Japan. In some grasslands of this area, radioactive cesium (Cs) content of grasses exceeded the provisional safety standard for use as feed for dairy and beef cattle of 100 Bq kg–1 fresh weight, and the livestock industry has been seriously affected in numerous ways: needing to dispose of polluted forage, grazing prohibitions, declines in beef prices, suspensions of shipping beef to market, and blanket testing of beef cattle (Manabe et al., 2013). The spatial distribution of radioactive Cs in grasslands was complex in various scales (Tsuiki and Maeda, 2012a; 2012b). So it is difficult to estimate actual pollution level in grassland ecosystems. The transfer of radioactive Cs from soil to plant is affected by soil soluble potassium (K) concentration, pH, clay and organic matter contents (Absalom et al., 2001; Tsuiki et al., 2013). The radioactive Cs dynamics in soil-plantanimal system is complex and modeling is necessary to clarify the relationships. In this study, a model of radioactive Cs dynamics in Zoysia japonica Steud. dominated grazing grassland was developed to predict radioactive Cs concentration of grass and grazing cattle
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