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Showing 1 - 20 results of 120 for search '(( significant estimates decrease ) OR ( significant ((decrease occurs) OR (decrease accuracy)) ))', query time: 0.16s Refine Results
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    Estimating the production and mortality of fine roots using minirhizotrons in a Pinus densiflora forest in Gwangneung, Korea by Han, Seung Hyun

    Published 2016
    “…Both FP and FM at the 0–10 cm depth were significantly higher than at 10–20 and 20–30 cm depths, and this resulted from the decrease in nutrient availability with increasing soil depth. …”
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  4. 4

    DEVELOPMENT AND EVALUATION OF VIRTUAL REALITY EXERGAMES FOR UPPER LIMB AMPUTEE REHABILITATION by MAZHAR, NOAMAN

    Published 2024
    “…Upper limb amputees face significant challenges in adapting to prosthetic limbs, leading to suboptimal rehabilitation outcomes and decreased quality of life. …”
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    USING EMBEDDED MACHINE LEARNING IN THE PHYSICAL WORLD TO DETECT TOXICITY IN SPOKEN LANGUAGE by ABU NADA, AHLAM HUSNI

    Published 2023
    “…In our study, quantization demonstrated a significant reduction in model size by almost fourfold and a 3.3-fold decrease in RAM usage. …”
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    Adult appendicitis score versus Alvarado score: A comparative study in the diagnosis of acute appendicitis by Ghali, Mohamed Said

    Published 2023
    “…The correlation between Alvarado and AAS with HP was significant. AAS ≥ 16 presented sensitivity and specificity of 50 % and 75.47 %, respectively, with PPV of 97.96 % and NPV of 6.02 %, with an accuracy of 51.04 %. …”
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    A LASSO-BASED DEA FOR ECO-EFFICIENCY PERFORMANCE ASSESSMENT FOR THE GLOBAL FOOD AND BEVERAGES INDUSTRY by SALAMEH, DOA'A MOHAMMAD FUAD

    Published 2022
    “…Recently, food supply chains of global industries are encountering economic and environmental challenges, resulting in a significant decrease in their eco-efficiency performance. …”
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    Adrenoceptor Desensitization: Current Understanding of Mechanisms by Maaliki, Dina

    Published 2024
    “…On the other hand, long-term desensitization occurs over hours to days and involves receptor downregulation or a decrease in cell surface receptor protein level. …”
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    The frequency of polycystic ovary syndrome in young reproductive females in Qatar by Sharif, Elham

    Published 2016
    “…Hormonal analysis demonstrated a significant increase in androgens (total testosterone, dehydroepiandrosterone sulfate, and free testosterone), and a significant decrease in sex hormone-binding globulin in our PCOS group, with a P-value ,0.05. …”
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    Platinum degradation mechanisms in proton exchange membrane fuel cell (PEMFC) system: A review by Okonkwo, Paul C.

    Published 2021
    “…This review paper summarizes the degradation of platinum catalyst layer that has become a significant issue in the improvement of PEMFCs. The review intends to categorise and provide a clear understanding between disintegration and agglomerate that occurs during platinum degradation. …”
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    Impact of time synchronization error on the mode-shape calculation in wireless sensor networks for structural health monitoring by Abdaoui, Abderrazak

    Published 2016
    “…Numerical results prove that the time synchronization error has a significant impact on the accuracy of the mode shape calculation. …”
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    Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Kserawi, Fawaz

    Published 2022
    “…However, billing accuracy can be degraded by using such additive noise techniques. …”
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    Prophylactic antibiotics for preventing genital tract infection in women undergoing surgical procedures for incomplete abortion: a systematic review and meta-analysis of randomized... by Islam, Nazmul

    Published 2020
    “…Findings about the effect of prophylactic antibiotics in preventing genital tract infection (GTI) associated with surgical procedures used for incomplete abortions are conflicting. Some reported a decrease in infection associated with the use of antibiotic prophylaxis, while others found no significant reduction in GTI. …”
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    A Framework for Time-Driven Activity-Based Costing for Orthopedic Procedure by Holozada, Bayan Hani

    Published 2021
    “…Seven human resources out of eight are significant to model. Accuracy of optimized model is equal to 3%, with RMSE equal to 6. …”
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    Tranexamic Acid for Traumatic Injury in the Emergency Setting: A Systematic Review and Bias-Adjusted Meta-Analysis of Randomized Controlled Trials by Pieter Francsois, Fouche

    Published 2024
    “…Study objectiveTraumatic injury causes a significant number of deaths due to bleeding. Tranexamic acid (TXA), an antifibrinolytic agent, can reduce bleeding in traumatic injuries and potentially enhance outcomes. …”
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    Socket Shield Technique to Improve the Outcomes of Immediate Implant: A Systematic Review and Meta-Analysis by Scarano, Antonio

    Published 2023
    “…Meta-analyses revealed that the immediate implants placed with SST had a statistically significant decrease in horizontal (MD = −0.28, 95% CI [−0.37, −0.19], p < 0.0001), vertical (MD = −0.85, 95% CI [−1.12, −0.58], p < 0.0001), and crestal (MD = −0.35, 95% CI [−0.56, −0.13], p = 0.002) bone loss, as well as probing depth (MD = −0.64, 95% CI [−0.99, −0.29], p = 0.0003). …”
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    Tranexamic Acid for Traumatic Injury in the Emergency Setting: A Systematic Review and Bias-Adjusted Meta-Analysis of Randomized Controlled Trials by Pieter Francsois, Fouche

    Published 2024
    “…Study objectiveTraumatic injury causes a significant number of deaths due to bleeding. Tranexamic acid (TXA), an antifibrinolytic agent, can reduce bleeding in traumatic injuries and potentially enhance outcomes. …”
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    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

    Published 2024
    “…The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …”
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    A short-term probabilistic photovoltaic power prediction method based on feature selection and improved LSTM neural network by Liu, Ronghui

    Published 2022
    “…Coupled Input and Forget Gate(CIFG) network is proposed to minimize structure without significantly decreasing the prediction accuracy. Furthermore, a new hybrid method combining Quantile Regression(QR) and CIFG network is proposed to predict the conditional quantile of PV output. …”
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