39 research outputs found

    嫌気性及び好気性処理の併用による高濃度有機性,工場排水の効率的処理に関する研究

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    application/pdf博士学位論文の要旨及び審査結果の要旨 (Summary of Thesis(DR))293344 bytesT2H071651othe

    Longitudinal measurements after CM treatment at week 6 after SNX.

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    <p>Week numbers indicate the week after SNX. Week 5 represents the week before treatment.</p>*<p>P<0.05 vs. respective 2K controls. Posthoc p-value is shown.</p

    Comparison of the flight apparatus of migrant and sedentary blackbirds.

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    <p>Migrant and sedentary birds did not differ in either wing pointedness (A) or tail to wing ratio (B). Boxplots show the 5<sup>th</sup> and 95<sup>th</sup> percentiles. Circles indicate observations beyond the 5<sup>th</sup> and 95<sup>th</sup> percentiles.</p

    Numbers of migrants and residents in each age and sex category.

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    <p>Numbers of migrants and residents in each age and sex category.</p

    Effect of light at night on molt pattern.

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    <p>We scored the molt condition (0 = no molt, 5 = completed molt) for the ten primary and the first six secondary flight feathers. In the first experimental year (A), molt was measured between April and December (x-axis). Control birds (blue) experienced dark nights, while experimental birds (red) were exposed to constant light of 0.3 lux at night. Triangles and dashed lines depict urban birds, circles and solid lines depict rural birds. Each symbol represents the sum of molt scores for all feathers of each individual, averaged over all individuals of one group. Error bars represent SEM. Six experimental birds, three rural and three urban, did not finish to molt. In the second experimental year (B), we checked molt only once, on August 13<sup>th</sup>. Vertical bars represent the molt score for each feather, averaged over all individuals of one group. Blue bars (left) depict control birds, red bars (right) depict experimental birds. Within each treatment group, blank bars represent urban birds, filled bars represent rural birds. Error bars represent SEM. For details of experimental set-up see Methods and Figure 1.</p

    Effect of light at night on period of rhythmicity and entrainment to light/dark cycles.

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    <p>A) We measured the length in hours of the main periodicity of locomotor activity between November 1<sup>st</sup> and December 27<sup>th</sup>, 2011, hence before the second experimental year, using a Lomb-Scargle periodogram. Average period length was 1437 min and no significant difference was found between either treatment groups (control = blue/left, experimental = red/right) or populations (rural = filled, urban = blank). Box plots represent, from bottom to top: one standard deviation (s.d.) below the mean, lower quartile, median, upper quartile and one s.d. above the mean. B) Onset and end of daily locomotor activity time measured during the same time period of data shown in panel A. We only show data for treatment groups as this facilitates visualization and interpretation of results. Lines and shaded areas (blue = control, red = experimental) represent mean ± SEM. Dashed black lines represent onset of morning twilight and end of evening twilight. For details of experimental set-up see Methods and Figure 1.</p

    testosterone

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    dataset used to analyze variation in testosterone concentration during the reproductive cycl

    Effect of light at night on seasonal variation in testicular width (A) and plasma testosterone levels (B) in captive adult male European blackbirds (<i>Turdus merula</i>).

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    <p>Urban (triangles, dashed lines) and rural (circles, solid lines) blackbirds were exposed to simulated natural photoperiods but with different light intensities at night. Control birds (blue) experienced nights with light intensity of 0.0001 lux, while experimental birds (red) were exposed to constant light of 0.3 lux at night. Birds were measured from December 2010 to June 2012. Data represent mean ± SEM. Sample sizes: control = 20 (10 rural and 10 urban), experimental = 20 (10 rural and 10 urban). One urban bird in the control group died on April 1<sup>st</sup>, 2011.</p

    The Influence of Permanent Grasslands on Nitrate Nitrogen Loads in Modelling Approach

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    The water pollution in areas with intensive agriculture is growing rapidly. Computer model is a tool which can help in finding solutions for water pollution reduction and help in creation of catchment management plans. In this research the SWAT model (Soil and Water Assessment Tool) was used to test the influence of introduction of permanent grasslands into the catchment on nitrate nitrogen load in surface water. Small catchment of upper Zgłowi?czka River in central Poland with intensive agriculture was chosen as a test site. Model was fed with data about land use, soils, weather, elevation and management practices and calibrated and validated using flow data and nitrate nitrogen loads data. Then 2 scenarios with land use change were tested. A part of arable land was changed into permanent grasslands. The results show that permanent grasslands are effective in reducing nitrate nitrogen load. The load was reduced by 19% when permanent grasslands constituted 10% of arable land and by 38% with permanent grasslands taking up 20% of arable land
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