Showing 161 - 180 results of 19,618 for search '(((( a large decrease ) OR ( i largest decrease ))) OR ( ((6 cycles) OR (000 cycles)) increases ))', query time: 1.00s Refine Results
  1. 161

    Life-cycle boundary of the thermodynamic cycle. by Yali Wang (332169)

    Published 2025
    “…<div><p>This research aims to investigate the heat recovery of both suspension preheater flue gas and clinker cooler hot air in cement industry. Three thermodynamic cycles <a href="https://www.baidu.com/s?rsv_idx=1&tn=15007414_12_dg&wd=including翻译&fenlei=256&usm=3&ie=utf-8&rsv_pq=ee6f302600274b30&oq=include&rsv_t=b4f4jyagDCzpjJ6DxCgF7+7QYztpPCafqY7xUCQyKsUg8uJOADjMPhV1r8nSv+3sPOeXwjE&sa=re_fy_huisou" target="_blank">including</a> series Kalina Cycle (S-KC)、parallel Kalina Cycle (P-KC) and dual-loop Kalina Cycle (DL-KC) are introduced for converting dual-source heat resources into power to enhance the system efficiency for cement production process. …”
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    Tunable Electrical Properties of Embossed, Cellulose-Based Paper for Skin-like Sensing by Tongfen Liang (9601461)

    Published 2020
    “…The largest increase in conductivity from 8.38 × 10<sup>–6</sup> to 2.5 × 10<sup>–3</sup> S/m by a factor of ∼300 occurred at a percolation threshold of 3.8 wt % (or 0.36 vol %) with the composite paper plastically compressed by 410 MPa, which caused a decrease of porosity from 88% to 42% on average. …”
  5. 165

    Tunable Electrical Properties of Embossed, Cellulose-Based Paper for Skin-like Sensing by Tongfen Liang (9601461)

    Published 2020
    “…The largest increase in conductivity from 8.38 × 10<sup>–6</sup> to 2.5 × 10<sup>–3</sup> S/m by a factor of ∼300 occurred at a percolation threshold of 3.8 wt % (or 0.36 vol %) with the composite paper plastically compressed by 410 MPa, which caused a decrease of porosity from 88% to 42% on average. …”
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    Extracting one cycle of AVF sounds. by Keiko Tanaka (83031)

    Published 2025
    “…This study aimed to clarify the relationships between the sound properties of blood flow through arteriovenous fistulas and a medical/surgical history of patients undergoing hemodialysis by analyzing the distribution of sound frequencies from 100 to 4,000 Hz. Data were collected from 53 patients to identify two key parameters: the time point within one cycle of arteriovenous fistula sounds where the power distribution reached its peak, expressed as a percentage, and the specific frequency where the power was highest within the analyzed range. …”
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