186 research outputs found

    津田修二:先天性臍帶ヘルニアに就て 正誤表(第11卷 第3號 綜説欄所載)

    Get PDF
    The primary 2-DE gel maps at least three biological replicates for control, dehydration treatments (18 h, 24 h and 48 h) and rehydration treatment (R24 h) in Longchun 23. (TIF 1707 kb

    Performance of the four analytical methods in stratified populations with sample sizes varying from 400 to 2000 (stratification level = 0.5−0.1, frequency of disease susceptible allele = 0.20±0.02 and number of AIMs = 40).

    No full text
    <p>Performance of the four analytical methods in stratified populations with sample sizes varying from 400 to 2000 (stratification level = 0.5−0.1, frequency of disease susceptible allele = 0.20±0.02 and number of AIMs = 40).</p

    Average corrector factor λ estimated by GC in populations with various stratification levels.

    No full text
    <p>Note: <sup>a</sup> denote the proportions of YRI individuals in cases-controls, respectively.</p>b<p>were calculated from power comparison results.</p>c<p>were calculated form type I error rate comparison results.</p

    Performance of SA with numbers of AIMs varying from 40 to 200 (stratification level = 0.5−0.1, sample size = 1200 and frequency of disease susceptible allele = 0.20±0.02).

    No full text
    <p>Performance of SA with numbers of AIMs varying from 40 to 200 (stratification level = 0.5−0.1, sample size = 1200 and frequency of disease susceptible allele = 0.20±0.02).</p

    Performance of the four analytical methods in stratified populations with stratification levels varying from 0.3−0.3 to 0.5−0.1 (sample size = 1200, frequency of disease susceptible allele = 0.20±0.02 and number of AIMs = 40).

    No full text
    <p>Performance of the four analytical methods in stratified populations with stratification levels varying from 0.3−0.3 to 0.5−0.1 (sample size = 1200, frequency of disease susceptible allele = 0.20±0.02 and number of AIMs = 40).</p

    Parameter configurations in the simulation studies.

    No full text
    <p>Note: <sup>a</sup> denote the proportions of YRI individuals in cases-controls, respectively.</p>b<p>denote the numbers of total samples comprising of equivalent cases and controls.</p>c<p>denote the frequencies of disease susceptible allele.</p>d<p>The basic parameter configuration is highlighted in bold. Each possible parameter setting can be obtained by replacing one entry of the basic parameter configuration with a different entry of corresponding parameter.</p

    Performance of the four analytical methods in stratified populations with frequencies of disease susceptible allele varying from 0.10±0.02 to 0.40±0.02 (stratification level = 0.5−0.1, sample size = 1200 and number of AIMs = 40).

    No full text
    <p>Performance of the four analytical methods in stratified populations with frequencies of disease susceptible allele varying from 0.10±0.02 to 0.40±0.02 (stratification level = 0.5−0.1, sample size = 1200 and number of AIMs = 40).</p

    Crosslinking of Pressure-Sensitive Adhesives with Polymer-Grafted Nanoparticles

    No full text
    Nanocomposite filler particles provide multiple routes to mechanically reinforce pressure-sensitive adhesives (PSAs), as their large surface area to volume ratios provide a means of effectively crosslinking multiple polymer chains. A major advancement could therefore be enabled by the design of a particle architecture that forms multiple physical and chemical interactions with the surrounding polymer matrix, while simultaneously ensuring particle dispersion and preventing particle aggregation. Understanding how such multivalent interactions between a nanoparticle crosslinking point and the PSA polymer affect material mechanical performance would provide both useful scientific knowledge on the mechanical structure–property relationships in polymer composites, as well as a new route to synthesizing useful PSA materials. Herein, we report the use of polymer-grafted nanoparticles (PGNPs) composed of poly­(n-butyl acrylate-co-acrylic acid) chains grafted to SiO2 nanoparticle (NP) surfaces to cohesively reinforce PSA films against shear stress without compromising their adhesive properties. The use of acrylic acid-decorated PGNPs allows for ionic crosslinking via metal salt coordination to be used in conjunction with physical entanglement, yielding 33% greater shear resistance and up to 3-fold longer holding times under static load. In addition, the effects of material parameters such as PGNP/crosslinker loading, polymer graft length, and core nanoparticle size on mechanical properties are also explored, providing insights into the use of PGNPs for the rational design of polymer composite-based PSAs
    corecore