From the situation of living in the stricken area or Fukushima, I consider tourism after the earthquake disaster by two viewpoints of a place and a person. First viewpoint is reconfirmation of fully employing efficiently the charm peculiar to the land which can be tasted only by including contact with the people of the land. And the second viewpoint is consideration of healing travel tourism to refresh the people who live non- which they do not expect for suffering a calamity and damage, not only for the tourist from outside but the neighborhood as well.

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ハイボリウムエアサンプラーを用いて道路傍で毎日粉じんを捕集していたところ, 約20m離れた民家に火災が発生し, 約30分間サンプラーは火災の煙にまかれた。
火災前後の日の総粒子状物質 (TSP) 濃度は, 0.10mg/m³ (24時間平均値), そのうちタール量7.0-7.9%であるのに対し, 火災当日の総粒子状物質濃度は, 0.16mg/m³, そのうちタール量10.6%であった。火災当日の濃度増加分が持続30分間の火災によるものとして, 火災時間中の総粒子状物質濃度を推定すると, 2.4mg/m³となって平常時 (0.10mg/m³) の24倍, またそのうちタール量は17.7%と平常時 (7.5%) の2.4倍となり, 火災由来の粒子状物質組成は平常時とかなり異なることが示唆された。
火災当日のタールはその半分が火災由来と推定されたが, TA100, TA98による変異原性の量反応曲線はタール200μg/プレートまでは前後の日とほぼ同じで, 投与量の増加に伴って直線的に変異コロニー数は増加し, また代謝活性化によって変異原性は強められた。400μg/プレートの投与量では, 火災日のタールは変異コロニー数の増加をS9 mixの有無にかかわらず抑制する傾向がみられた。この効果はタールの静菌作用によるものではないと思われた。これらのタールのSCE誘起性をCHO細胞を用い40μg/ml, 80μg/mlの投与量で調べた結果, どのタールもほぼ同程度のSCEを誘起し, 量依存性が明かであったが, タール間に統計的に有意な差はみられなかった。単位量当たりのタールの変異原性, SCE誘起性は火災日と前後の日では変化はないが, 空気量当たりでは前者は30-90倍, 後者は60倍高い値であった。

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Understanding and description of traffic dynamics in large-scale networks is difficult and challenging procedure due to complexity of the network, limited amount of available information regarding vehicle movements and great number of different factors which affect traffic conditions. To deal with these issues, in current study large-scale urban areas is substituted by a continuous medium, and traffic flows are treated as two-dimensional flow on it. Spatiotemporal characteristics of this two-dimensional flow were investigated with the help of actual large-scale probe vehicle data. Specifically, probe vehicle data, sampled from the vehicles travelled in Tokyo area for one month period were used. After data preprocessing and transformation, spatiotemporal dependencies in the whole area, as well as in smaller regions were examined. The results showed distinct patterns according to different spatial locations, temporal intervals and local features, such as existence of highways or high degree of arterials roads. These results suggested the applicability of proposed approach in order to analyze and describe dependencies in two-dimensional traffic flow by means of probe vehicle data.

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This paper describes a load profile prediction algorithm that has recently been developed for use in an optimal operation of heat storage systems. It is highly desirable to devise an on-line prediction technique such that the difference between predicted load and actual load is as small as possible. To accomplish this, an ARIMA model is adopted. The modelling is first done for the past load data. Next, this model is used to predict the load profiles for the next day. The load profiles are updated every hour on the basis of the newly obtained load data.
When this on-line prediction algorithm is executed on a computer in field operation, some of the more important questions are left open:
1) What kind of evaluations should be considered for the model validity?
2) After air-conditioning system starts, how many data should be required to predict the load profile?
3) Half days and off days have different load profiles from . How should the load profile on these days be predicted?
4) Does the forecasted highest ambient temperature for the next day become available to update the predicted load profile?
In this paper, the solutions to these questions are considered. Performance of the load profile prediction algorithm is assessed by recording cooling load and ambient temperature history (1987) at The Tokyo site. Results of this test show generally good agreement between actual and predicted loads. Errors are typically less than 10% on ; however, somewhat higher errors occur on half days and off days (errors being on the order of 20%).

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This paper investigates whether it is possible to determine shelter locations and congestion spots at the time of an event, by resorting to the recently anticipated use of mobile space data at the time of a disaster. This study focused on the earthquake and the resulting tsunami that occurred off the coast of Fukushima Prefecture on November 22^nd, 2016. We verified whether it is possible to identify congestion spots and shelter locations by comparing with the results of a questionnaire survey conducted in a previous study on evacuation behavior at the time of the occurrence of earthquakes and tsunamis. As a result, we found that it is difficult to determine evacuation behaviors from the data, as raw mobile space data extracted several hours after the tsunami event only gave information on where spots’ populations ordinarily converge to. We were able to determine the locations where populations gather by taking into consideration time-based differences between the raw data obtained. It, however, proved difficult to obtain a good determination of congestion spots.

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Individual difference in catecholamine excretion was studied. The amine excre-tion, some mental abilities, physique and physical capacities were investigated on 119 senior high school students. By factor analysis, five factors were extracted from these data. The three factors have considerable loadings in catecholamine excretion and mental or physical characteristics, and suggest that catecholamine excretion, especilly adrenaline, has some relation not only to mental abilities but also to physical characteristics.

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糖尿病患者における食事・運動療法の実施状況, すなわち, 受容度 (compliance) についての研究は多くはない. また, これらの療法が日常生活での行動である点や, 細かな行動の集積である点にまで留意し, 客観的な把握を試みた例は少ない. そこでこれらの点を踏まえ, 受容度の詳細で正確な把握を行い, その相11二関係について検討を加えた.
調査対象は, 昭和56年秋に都内某病院で教育入院を終了した患者全員 (125名) とし, 教育入院終了後半年間の受容度を, 調査票を用いた面接調査により把握した. なお, 調査実施率は80.8%であった.
食事療法では, 朝・昼・夕食の受容度を中心に, 外食, 飲酒, 間食, 食品計量についても把握した. その結果, 市三食とも 「ほとんど守れた」 者は46%であるなど, 必ずしも満足すべき状況ではなかった. 一方, 運動療法では, 普段の日, 休日, 雨の日に分けて把握したが, 最低の日安である1日30分以上の運動を実施する者が, 普段の日で80%を占めた.
以上の受容度を, 相関係数等の検討を通じ,(三食・外食・飲酒・食品計量)(過量の間食)(運動療法) の3群に分けることができた. また,(1) 調理担当者による計量が行われているほど三食が良く守れており,(2) 外食内容が適正であるほど昼. 夕食が良く守れており,(3) 飲酒の機会が少ないほど夕食が良く守れていた. 以上の点を踏まえ, 今後の患者教育に当たる必要があると考えられた.

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The Great East Japan Earthquake on Mar. 11, 2011 in Japan was extremely huge and brought us enormous damage. In that earthquake, a lot of faults north and south were destroyed successively. Though many numerical models of earthquakes have been proposed, they are all inappropriate for many faults breakdown. Thus in this paper, a simple but interactive coupled stick-slip model based on 2-dimensional Burridge-Knopoff model is proposed. The emergence of catastrophic earthquakes can be found in our simulation. In addition multifractal analysis of earthquake data gives us new interpretation of earthquakes and the possibility of the prediction of catastrophic earthquake.

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To monitor urban atmospheric particles, we have undertaken simultaneous measurements of aerosols and suspended particulate matter (SPM) at Kinki University Campus, Higashi-Osaka, Japan, since 2004. The largest dust event recorded during our long-term observations was detected during the spring of 2006.
We also examined the relationship between PM_2.5 concentrations and aerosol properties obtained from radiometry using a multi-spectral photometer located at a NASA/AERONET station. We found a linear correlation between aerosol optical thickness and PM_2.5 concentrations for both and days with dust events.

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NASA/AERONETの日本サイトとして，2000年から東大阪，和歌山県白浜にて大気エアロゾルの放射観測を実施している．また，2004年3月から，（東大阪サイトにおいて）浮遊微粒子（ＳＰＭ）のサンプリング計測も行っている．これら同期観測結果の比較から，両者の線形関係式を導出し，相互変換の可能性を確認した．更に両地上計測データと衛星データの統合解析により，大気粒子の発生から成長，拡散消滅までの一連の流れを捉える．

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This study aims to measure and discuss how much cardiac autonomic nervous system (CANS) activity in a seated position varies whether or not the subjects smoke habitually. In this study, 22 smoking young subjects (21.9 ± 1.1yrs) and then 22 non-smoking young subjects (21.2 ± 1.2yrs) were participated. Tone-Entropy analysis that evaluates CANS activity based on statistical properties of heart period variation, is used to measure CANS activity. HR has statistically significant difference between smoker group and non-smoker group (p < 0.05). The fact indicates that heart function of the subjects of smoker may be reduced. Although, in tone and entropy, there are no statistically significant difference between the groups, each p-value of tone and entropy is 0.078 and 0.081 severally. Therefore, though we can hardly accept that CANS activity definitely changes with smoking, our results supports that there is a possibility that CANS activity may be influenced by smoking.

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Background: Dust storm is a meteorological phenomenon and dust particles have been suspected as harmful to heart and lungs. The aim of this study was to investigate the association between coarse particles and emergency hospital admissions for cardiovascular diseases (CVD) in Hong Kong. Methods and Results: Data on mean daily emergency admissions for CVD to major hospitals in Hong Kong, concentrations of air pollutants and meteorological variables from January 1998 to December 2002 were obtained from several government departments. We identified 5 dust storm days during the study period. Independent t-tests were used to compare the mean daily number of admissions on dust storm and non-dust storm days. Case-crossover analysis, using the Poisson regression, was used to examine the effects of coarse particles' concentration on emergency hospital admissions for CVD. A marginally significant increase in emergency hospital admissions for ischemic heart disease (IHD) was found with RR=1.04 (95% confidence interval: 1.00, 1.08) per 10μg/m³ increase in the concentration of coarse particles. Conclusions: This study demonstrated a marginally significant increase in emergency hospital admissions for IHD on the day of dust storm events in Hong Kong, when the levels of coarse particles were very high. Further studies are required to assess the role of coarse particles on cardiac health. (Circ J 2012; 76: 655-660)

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A procedure for aerosol retrieval by combining data provided by POLDER (Polarization and Directionality of the Earth's Reflectances) and GLI (Global Imager) sensors mounted on the ADEOS-2 satellite (Advanced Earth Observing Satellite-2) is proposed. The POLDER sensor provides three channels of unique directional polarization measurements, and the GLI sensor provides high-resolution images over a wide range of wavelengths from near-UV to thermal infrared. It is known that POLDER polarization data are effective for aerosol retrieval over land, and the ratio of reflectances at 0.40 and 0.38μm from GLI can be used to distinguish between nonabsorbing and absorbing aerosols. Our algorithm is tested by detecting the plume from Siberian biomass burning in May 2003. The retrieved aerosol properties are compared with model simulations and ground-based AERONET (Aerosol Robotic Network) data. The results show that our proposed algorithm provides improved data on the aerosol optical thickness.

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