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Showing 581 - 600 results of 794 for search 'variable function (co(efficient. OR efficiency.) OR (efficient. OR efficiency.))', query time: 0.14s Refine Results
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    Patent Dirofilaria immitis infection in Galapagos sea lion rookeries in San Cristóbal Island by Carla A. Culda, Rommel Lenin Vinueza, Marjorie Riofrío-Lazo, Renato Leon, Diego Páez-Rosas, Andrei Daniel Mihalca

    “…In recent decades, they have faced a significant population decline, related to the effects of climate variability and anthropogenic influences. Thus, the co-occurrence of sea lion resting areas with mosquito breeding sites and the presence of free-roaming domestic dogs present significant health risks related to parasite transmission. …”
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  3. 583

    Treatment with combined exercise in patients with resistant major depression (TRACE-RMD): study protocol for a randomised controlled trial by Nagore Iriarte-Yoller, José Etxaniz-Oses, Cristobal Pavón-Navajas, Mikel Tous-Espelosin, Pedro M. Sánchez-Gómez, Sara Maldonado-Martín, Ana B. Yoller-Elburgo, Edorta Elizagarate-Zabala

    Published 2024-12-01
    “…Secondary outcome variables will include cardiorespiratory fitness (peak oxygen uptake through peak cardiopulmonary exercise test), body composition (bioimpedance and anthropometric variables), physical activity level (the International Physical Activity Questionnaire), health-related quality of life (the Short Form-36 Health Survey), functional outcome (the Sheehan Disability Scale and Quality of Life in Depression Scale), overall disease severity (the Clinical Global Impression Scale-Severity of Illness), and biochemical variables (a fasting blood sample). …”
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    Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease by Francesca Lussana, Ettore Lanzarone, Giulia Villa, Alfonso Mastropietro, Anna Caroli, Elisa Scalco

    Published 2025-05-01
    “…Additionally, lower-order features, including those computed from histograms and co-occurrence matrices, demonstrate higher reproducibility than other texture features.…”
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    Fungal community structure in disease suppressive soils assessed by 28S LSU gene sequencing. by C Ryan Penton, V V S R Gupta, James M Tiedje, Stephen M Neate, Kathy Ophel-Keller, Michael Gillings, Paul Harvey, Amanda Pham, David K Roget

    Published 2014-01-01
    “…Natural biological suppression of soil-borne diseases is a function of the activity and composition of soil microbial communities. …”
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  8. 588

    Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis by Nobuo Okui, Shigeo Horie

    Published 2025-08-01
    “…In contrast, terms like burning, despite moderate centrality values, were found to co-occur predominantly with metaphorical or decorative expressions rather than emotion- or symptom-related descriptors. …”
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    394 Inclusion of cytomegalovirus viral Fc gamma receptors in a glycoprotein B protein subunit vaccine improves Fc-mediated effector responses by Claire Otero, Mackensie Gross, Savannah Herbek, Megan Connors, Philipp Kolb, Sallie Permar

    Published 2025-04-01
    “…Objectives/Goals: We hypothesized that adding cytomegalovirus (CMV) viral Fc gamma receptors (vFcγRs) to a glycoprotein B (gB) protein subunit vaccine would improve vaccine-elicited Fc mediated effector functions such as antibody dependent cellular phagocytosis (ADCP) and cytotoxicity (ADCC), over gB subunit alone. …”
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  12. 592

    Arctic Sea ice decline whiplash modes in winter investigated from a Pan-Arctic viewpoint: atmospheric drivers and feedbacks by Xia Hu, Zhina Jiang, Yao Yao, Guokun Dai

    Published 2025-01-01
    “…The leading SIC modes over pan-Arctic show significant locality and co-variability based on empirical orthogonal function (EOF) analysis of sea ice decline whiplash days during winters of 1979–2020. …”
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    Integrative eQTL and Mendelian randomization analysis reveals key genetic markers in mesothelioma by Jinsong Li, Xingmeng Wang, Yaru Lin, Zhengliang Li, Wei Xiong

    Published 2025-04-01
    “…The intersecting genes from MR-identified risk genes and differentially expressed genes were identified as key co-expressed genes for mesothelioma. Functional enrichment analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA), as well as immune cell correlation analysis, were performed to elucidate the roles of key genes in mesothelioma. …”
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