Archives

  • 2018-07
  • 2018-10
  • 2018-11
  • 2019-04
  • 2019-05
  • 2019-06
  • 2019-07
  • 2019-08
  • 2019-09
  • 2019-10
  • 2019-11
  • 2019-12
  • 2020-01
  • 2020-02
  • 2020-03
  • 2020-04
  • 2020-05
  • 2020-06
  • 2020-07
  • 2020-08
  • 2020-09
  • 2020-10
  • 2020-11
  • 2020-12
  • 2021-01
  • 2021-02
  • 2021-03
  • 2021-04
  • 2021-05
  • 2021-06
  • 2021-07
  • 2021-08
  • 2021-09
  • 2021-10
  • 2021-11
  • 2021-12
  • 2022-01
  • 2022-02
  • 2022-03
  • 2022-04
  • 2022-05
  • 2022-06
  • 2022-07
  • 2022-08
  • 2022-09
  • 2022-10
  • 2022-11
  • 2022-12
  • 2023-01
  • 2023-02
  • 2023-03
  • 2023-04
  • 2023-05
  • 2023-06
  • 2023-08
  • 2023-09
  • 2023-10
  • 2023-11
  • 2023-12
  • 2024-01
  • 2024-02
  • 2024-03
  • br Experimental design materials and methods Poly l lactic a

    2018-11-03


    Experimental design, materials and methods Poly(l-lactic acid) (PLLA) (M=1.3×105, M=2.2×105, [d-lactyl unit]=1.4%) was melt-blended with 5, 10, and 20wt% of either PAL or PML (molar ratio of l- lactyl to aspartic jak inhibitors or malic acid units=10, their M= 1.6×103 and M=3.5×103) at 175°C (PLLA/PML) or 185°C (PLLA/PAL) for 5min with a rotation speed of 50rpm using a twin blade mixer (Toyo Seiki, Labo Plastomill 4M150 equipped with KF70V2, manufactured in Japan). The blend films with ca. 500μm thickness were prepared by compression molding and used for hydrolytic degradation tests in a phosphate buffer solution at 40°C. Changes in DSC thermograms and water uptakes were monitored during the hydrolysis of the PLLA blends.
    Acknowledgments This work was supported by the JSPS KAKENHI (Grant number 15K00640), the MEXT-Supported Program for the Strategic Research Foundation at Private Universities, 2013–2017, and a Mitsui Chemicals collaboration fund.
    Data In order to establish the utility of the multi-frequency technique for the purpose of this study [1], details are provided here to include resonant frequency and thermal tune spectra, AC and contact mode force curves. Additionally, Hertzian contact mechanics model fits are applied to curves performed on both PS and UHMWPE. Finally, topography and frequency (i.e. stiffness) maps are shown from before and after the force curve experiments.
    Experimental design, materials and methods
    Acknowledgments
    Data
    Experimental design, materials and methods
    Acknowledgements This work was supported by Ministry of Science and Higher Education of the Polish Government and by National Science Centre, Poland (Grant DEC-2012/05/B/ST3/03241).
    Data
    Experimental design, materials and methods Every attempt to construct a random number table must take into account that the table must be independent on any row or column. Furthermore, the data will not be found to follow any observed pattern(s). See [2–10] for details on other methodologies and results. The choice of using the used recharge cards of GSM network operator was based on the fact Unequal crossing-over their recharge cards are produced by strong computational algorithms that are programmed to generate random digits and numbers. The steps undertaken to obtain the table of random number datasets are listed below in details.
    Acknowledgements This research is sponsored by the following: Covenant University Centre for Research, Innovation and Discovery, Statistics sub Cluster of the Software Engineering, Modeling and Intelligent System Research cluster of Covenant University and the Digital Bridge Institute, International Centre for Information & Communication Technology Studies, Abuja, Nigeria.
    Data
    Experimental design, materials and methods Coronary computed tomography angiography data sets were acquired before invasive treatment from 367 patients with acute non-ST-segment elevation myocardial infarction [1,2,3]. From these datasets the subjective level of GGO was evaluated by an experienced radiologist on a 3 point scale (no GGO, mild-moderate GGO, and severe GGO) to compare with quantitative metrics of lung water (pulmonary attenuation density). The pulmonary attenuation density and the high pulmonary density ratio was obtained using pulmonary densitometry in the following way: Full view images in 3mm slice thickness were loaded into the workstation (Vitrea, version 6.2, Vital, Minnesota) using the pulmonary density analysis tool, which automatically traced the part of the left and right lung within the scan field (Fig. 3A). Voxels with attenuation densities above –300 (water, contrast, and soft tissue) was subtracted from the images in the further analysis. Mean attenuation density and attenuation density histograms were assessed (Fig. 3B). An attenuation density of −720 HU was chosen as a threshold for high pulmonary attenuation density (Three standard deviations above mean from a previous study) [4]. The volume of the lung with attenuation density > −720 defined the high pulmonary density volume and the high pulmonary density ratio was assessed as: high pulmonary density volume / total measured lung tissue volume, in %.