• 2018-07
  • 2018-10
  • 2018-11
  • br Experimental design materials and methods Table A gives g


    Experimental design, materials and methods Table A gives 755 groups splitting tensile strength tests data of MSC in different curing age ranged from 1day to 388 days. Raw materials of MSC were the ordinary silicate cements, the admixture consisted of fly ash, slag and silica fume, the crushed stone and the manufactured sand. The cement’ compressive strength and tensile strength at 28 days ranged in 35.5–63.4MPa and 6.9–10.8MPa, respectively. The maximum grain size of crushed stone ranged from 12 mm to 120 mm. The fineness modulus of manufactured sand was 2.2–3.55. As these studies were done based on different codes, different maximum particle sizes of 0.075 mm and 0.160 mm were defined for stone powder in manufactured sand. The contents of stone powder with particle size of 0–0.075mm ranged in 0–21.8%, whereas those with particle size of 0~0.160 mm varied in 0~40%. The water-binder ratio W/B=0.24–1.00, while the water-cement ratio mw/mc=0.30~1.43. The sand ratio was 24–54%. The compressive strength of MSC at 28 days ranged from 10.1–96.3MPa, the slump of fresh MSC varied from 10mm to 260mm, the curing time of specimens ranged from 1day to 388 days.
    Acknowledgements The study was financially supported by the NCWU Innovation Funds for Doctoral Candidate (201515601), the Science and Technology Innovation Team of Eco-building Material and Structural Engineering in the University of Henan Province, China (13IRTSTHN002), and the Fund of Leading Personnel of Science and Technology of Zhengzhou City, China (096SYJH23105).
    Data In this paper, power dissipation analysis of different multiplexer circuits presented in [1–10], have been investigated in Table 1 at three different tunneling Birinapant levels like and The energy dissipation map which includes leakage power dissipation, switching power dissipation and average power dissipation of various QCA multiplexers have been shown in Fig. 1.
    Experimental design, materials and methods
    Data Figs. 1 and 2 show the distribution of the main land use/land cover data, drawing on the databases for the period 2000 and 2010. Fig. 1 shows spatially continuous data on land use/cover classification scheme one, with six land use/cover types. Fig. 2 shows spatially continuous data on land use/cover classification scheme two, with 10 land use/cover types. These are followed by Tables 1 and 2, respectively. The tables show the percentage of land use/land cover changes in Unguja Island over categories over time. From Tables and Figures, it is apparent that there have been changes in the land use and land cover types across Unguja Island. Forestland has been reducing in area coverage over time (Table 1), and it is evident enough on the maps (Figs. 1B and 2D) that forest has been converted to settlement and agriculture, probably due to population pressure, poverty, and unemployment.
    Experimental design, materials and methods Our dataset was obtained from Regional Centre for Mapping of Resources for Development (RCMRD)-SERVIR database ( or RCMRD-SERVIR has verified the land use/land cover maps through ground verification campaigns, and baseline data are provided in the form of Landsat satellite imagery, auxiliary data and as well as historical maps. The classification systems includes forestland, grassland, settlement, shadow, wetland, water bodies, cloud, cropland, bare soil, mangrove forest, dense forest, sparse forest, moderate forest, open grassland, open bushland, and closed bushland were considered. Classification scheme one (includes only six land use/cover types) and classification scheme two (includes only ten land use/cover types) for the year 2000 and 2010 were used for analysis. Landscape ecology statistics tool (LecoS) [1,2] was used to analysis the changes over time and Geographic Information System GIS software (ArcMap version 10.1) to generate maps showing the spatially continuous data across the study area.