Showing 341 - 360 results of 794 for search '(variable OR variables) function (co(efficient. OR efficiency.) OR (efficient. OR efficiency.))', query time: 0.22s Refine Results
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    Explaining trunk strength variation and improvement following resistance training in people with chronic low back pain: clinical and performance-based outcomes analysis by Shouq Althobaiti, David Jiménez‑Grande, Janet A. Deane, Deborah Falla

    Published 2025-03-01
    “…The baseline trunk extension strength variance (R 2 = .65) was explained by demographic covariates and lumbar erector spinae (LES) activity during a maximum trunk extension contraction. Demographic variables, trunk muscle co-activation, baseline trunk flexion strength, level of physical function, and pain intensity over the past week influenced the change in trunk flexion strength after training (R 2 = .93). …”
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  3. 343

    p53 transactivation and the impact of mutations, cofactors and small molecules using a simplified yeast-based screening system. by Virginia Andreotti, Yari Ciribilli, Paola Monti, Alessandra Bisio, Mattia Lion, Jennifer Jordan, Gilberto Fronza, Paola Menichini, Michael A Resnick, Alberto Inga

    Published 2011-01-01
    “…<h4>Methodology/principal findings</h4>Given the many factors that might influence p53 function, including expression levels, mutations, cofactor proteins and small molecules, we expanded our previously described yeast-based system to provide the opportunity for efficient investigation of their individual and combined impacts in a miniaturized format. …”
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    Flow-based cytometric analysis of cell cycle via simulated cell populations. by M Rowan Brown, Huw D Summers, Paul Rees, Paul J Smith, Sally C Chappell, Rachel J Errington

    Published 2010-04-01
    “…We present a new approach to the handling and interrogating of large flow cytometry data where cell status and function can be described, at the population level, by global descriptors such as distribution mean or co-efficient of variation experimental data. …”
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    Energy Management of Industrial Energy Systems via Rolling Horizon and Hybrid Optimization: A Real-Plant Application in Germany by Loukas Kyriakidis, Rushit Kansara, Maria Isabel Roldán Serrano

    Published 2025-07-01
    “…Industrial energy systems are increasingly required to reduce operating costs and CO<sub>2</sub> emissions while integrating variable renewable energy sources. …”
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    Degradation of Tetracycline in Wastewater by Persulfate Activated by Sulfidated Nanometer Zero-valent Iron by Qiuyue YE, Zhengchun HU, Ziyi WANG, Wen XU, Shiyi ZHAO, Xuying DENG, Minghao GUO, Na GUO, Bing LIAO

    Published 2024-07-01
    “…The primary pathways of TC degradation involve specific functional group cleavage and ring-opening reactions, ultimately leading to oxidative degradation into CO<sub>2</sub> and H<sub>2</sub>O.…”
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  13. 353

    Beyond Spirometry: Linking Wasted Ventilation to Exertional Dyspnea in the Initial Stages of COPD by J. Alberto Neder, Giles Santyr, Brandon Zanette, Miranda Kirby, Marina Pourafkari, Matthew D. James, Sandra G. Vincent, Carrie Ferguson, Chu-Yi Wang, Nicolle J. Domnik, Devin B. Phillips, Janos Porszasz, William W. Stringer, Denis E. O’Donnell

    Published 2024-12-01
    “…Several lines of evidence indicate that the so-called excess ventilation (high ventilation-CO2 output relationship) primarily reflects poor gas exchange efficiency, namely increased physiological dead space. …”
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    Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites by Feng Bin, Shahab Hosseini, Jie Chen, Pijush Samui, Hadi Fattahi, Danial Jahed Armaghani

    Published 2024-10-01
    “…We present a comparative analysis of two hybrid models, Harris Hawks Optimization with Random Forest (HHO-RF) and Sine Cosine Algorithm with Random Forest (SCA-RF), against traditional regression methods and classical models like the Extreme Learning Machine (ELM), General Regression Neural Network (GRNN), and Radial Basis Function (RBF). Using a comprehensive dataset derived from various scientific publications, we focus on key input variables including the fine aggregate, GGBS, fly ash, sodium hydroxide (NaOH) molarity, and others. …”
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  16. 356

    Diversity and interdomain networks of bacterial, pico-protist and nano-protist communities in a marine ranching by Xinyi Zheng, Xin Guo, Xin Guo, Xiaoqing Lin, Cheng Huang, Lingfeng Huang

    Published 2025-07-01
    “…Although seasonal fluctuations in environmental variables generally influence microbial community dynamics, our comprehension of interdomain microbial co-occurrence patterns remains incomplete. …”
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    Genetically Engineered Bacterial Ghosts as Vaccine Candidates Against <i>Klebsiella pneumoniae</i> Infection by Svetlana V. Dentovskaya, Anastasia S. Vagaiskaya, Alexandra S. Trunyakova, Alena S. Kartseva, Tatiana A. Ivashchenko, Vladimir N. Gerasimov, Mikhail E. Platonov, Victoria V. Firstova, Andrey P. Anisimov

    Published 2025-01-01
    “…Previously, this kit made it possible to generate bacterial cells of <i>Yersinia pestis</i> with varying degrees of hydrolysis and variable protective activity. <b>Results:</b> In the current study, we showed that co-expression of the holin and endolysin genes from the L-413C phage elicited more rapid and efficient <i>K. pneumoniae</i> lysis than lysis mediated by only single gene <i>E</i> or the low functioning holin–endolysin system of λ phage. …”
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    Clinical Outcome Prediction Model in Tetralogy of Fallot Without Pulmonary Valve Replacement Using Contraction Fraction From the SCOUT‐TOF Registry by Mark A. Fogel, Jennifer A. Faerber, Abdullah Mahmood, Keerthi Reddy, Xuemei Zhang, Elizabeth Goldmuntz, Matthew A. Harris, David Biko, Sara Partington, Stephen Paridon, Michael Mcbride, Victor Ferrari, Kevin K. Whitehead, Laura Mercer‐Rosa

    Published 2025-05-01
    “…Additional significant predictors for CO1 were indexed RV mass/volume and left ventricular ejection fraction whereas for CO2, left ventricular global function index and left ventricular mass were additional predictors. …”
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