10 research outputs found
Corrosion of Steel Reinforcement : Investigation by Natural Electrode Potential
departmental bulletin pape
昆虫の変態・休眠の分子機構
平成8年度から平成11年度までの4年間に実施された特定領域研究(A)(1)「昆虫の変態・休眠の分子機構(略称:変態・休眠機構)」は,昆虫の有する旺盛な生存,生活戦略を変態と休眠という高次の生命現象に焦点を合わせ,この分子機構を多面的に解明することを目的として,延べ62名の研究者の参加を得て進められ,多くの研究成果を挙げてきた.「変態・休眠を支配するホルモン分子の動態と環境応答」に関する研究では,脳神経ペプチドホルモンの遺伝子の同定,合成分泌とその調節機構,ホルモンの血中動態及びホルモン受容体の解析を進め,新たな知見を得た.また「変態における自己・非自己の認識転換と形作りの分子機構」に関する研究では,幼虫組織の識別と排除機構,成虫組織の分化発生機構,ミツバチの社会性分化をもたらす遺伝子の同定とその発現機構を解明した.これらの成果の一端は平成12年12月神戸市にいて開催された平成12年度文部省主催の「大学と科学」公開シンポジウム「昆虫から学ぶ生きる知恵」において,研究者のみならず一般市民約500名に対し,公表された.一方,総括班員を中心とした研究成果の最終まとめに関する検討をもとにして,学術審議会科学研究費分科会審査第一部会生物系小委員会による特定領域研究研究終了ヒアリングを受け,その結果,Aの評価を得た.また,本研究の成果は,研究目的や研究経過に加え,本研究参加者の研究結果と発表論文リストを編集した研究成果報告書として発刊し,関連機関や研究者等に配布した.科学研究費補助金 研究種目:特定領域研究(A)(1) 課題番号:08276103 研究代表者:山下 興亜 研究期間:1996-2000年度research repor
Study on the relationship between de-icing material and concrete durability
application/pdfThe purpose of this study is to evaluate the influence of some types of de-icing material used for improving road surface friction on concrete durability. Specifically, anti-frost-damage to concrete caused by CMA (Calcium Magnesium Acetate) and NaCl when they were used as de-icing agent were studied by investigating past researches, conducting substantiation tests and analyzing the resultant data. The main causes of deterioration were clarified and an appropriate deterioration prediction equation was thus obtained.departmental bulletin pape
Ecosystem Service and Biodiversity Hotspots
<p>Colors represent the number of features for which each planning unit was selected in the individual-service best MARXAN network. We selected 1.8% of planning units for ≥5 features and 8.5% for ≥4.</p
The Central Coast Ecoregion of California, with Geographic Features Mentioned in the Text
<p>The Central Coast Ecoregion of California, with Geographic Features Mentioned in the Text</p
The Achievement of Alternative Strategies at Meeting Conservation Targets
<div><p>Target achievement is represented as the proportions of the seven targets achieved by four different conservation scenarios: Biodiversity (only biodiversity); Non-biodiversity (all except biodiversity); All; and Strategic (all but forage production and pollination: biodiversity, carbon storage, flood control, recreation, and water storage).</p>
<p>(A) The average target achieved (achieved feature/target) across stratification units weighted by amount of target, capped at 1 where targets were exceeded.</p>
<p>(B) The average amount by which targets were exceeded, weighted by target. The total target achievements and surpluses, summed across ecosystem services, appear enclosed in square brackets in the legend. This unweighted total underrepresents the contribution of biodiversity (which alone had hundreds of features, compared with one for each ecosystem service per stratification unit) to the planning process.</p></div
Pair-Wise Spatial Associations between Biodiversity and the Production of Ecosystem Services
<p>Associations are expressed as (A) the correlation coefficient (<i>r</i>) between feature values; (B) actual/expected number of planning units shared between best networks; and (C) actual number of shared planning units as a percentage of the smaller network. Arithmetic averages for each ecosystem service with each other ecosystem service are also noted. Shading indicates strength of correlation/overlap, as indicated by the legends. The shading in (C) follows values in (B). All correlations are statistically significant except for pollination with recreation, flood control, and biodiversity. All overlaps are statistically significant by <i>G</i>-tests for goodness of fit.</p
Spatial Analysis of Biodiversity and the Chosen Ecosystem Services
<p>The seven benefit functions (feature values) are displayed in color with the accompanying best networks of selected planning units in gray insets. Feature values range from 0 (or locked out; white), to low (light blue), moderate (dark blue), and high (purple). The boundary indicates the ecoregion plus the 10-km buffer. Yellow lines indicate stratification units, within which individual targets were pursued. Numbers in the thousands (×000) are stratification unit labels. Not shown are planning-unit–specific constraints and stratification-unit–specific targets.</p
