Showing 1 - 20 results of 919 for search '(((((( (deep OR did) increase ) OR ( need decrease ))) OR ( peer decrease ))) OR ( mean decrease ))', query time: 0.14s Refine Results
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    Increasing efficiency of atriums in hot, arid zones by Vethanayagam, Vijayantha

    Published 2019
    “…The internal glazing’s LSG did not affect the atrium’s total energy consump tion. …”
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    A comparison of peer, teacher and self-feedback on the reduction of language errors in student essays by Diab, Nuwar Mawlawi

    Published 2016
    “…However, comparison of students' performance on lexical errors at the immediate post-test revealed that the self-feedback group significantly decreased this error percentage compared to the peer feedback group. …”
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    Coalition game theoretic P2P trading in a distribution network integrity-ensured local energy market by M., Imran Azim

    Published 2023
    “…This paper presents a peer-to-peer (P2P) trading-enabled local energy market (LEM) mechanism and analyses it in the Australian market context to verify its feasibility. …”
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    Phosphorus supplementation increases thermic response to glucose solution in healthy lean subjects by Bassil, Maya

    Published 2013
    “…Baseline fasting resting metabolic rate (RMR) and VO2 did not differ between the 2 studies (1.2±0.2kcal/min and 250±37mL/min, respectively; p=0.92). …”
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    Integration of Wind Catchers in Modern Residential Buildings in the UAE as a Means of Providing Thermal Comfort by Riza, Raashid

    Published 2014
    “…This research is an evaluation of the effectiveness of wind catchers as means of providing thermal comfort for modern residential buildings in the hot arid climates in the UAE. …”
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    Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization by Yassine Himeur (14158821)

    Published 2023
    “…However, they might not perform as expected, take much time in training, or not have enough input data to generalize well. To that end, deep transfer learning (DTL) and deep domain adaptation (DDA) have recently been proposed as promising solutions to alleviate these issues. …”
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    Raising awareness among health educators and educational institutions of the need to overcome the language barrier among Non-Native English speaking students of Health Sciences in... by Ghizlane Bendriss (9025832)

    Published 2015
    “…A questionnaire was proposed to students asking for: 1- their need for translation of scientific terms, 2- the language of study of sciences in high school, 3- their shyness in asking the meaning of a scientific term, 4- the usefulness of a bilingual English-Arabic glossary with Latin/Greek origins of the terms.…”
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    Increased leptin expression in mice with bacterial peritonitis is partially regulated by tumor necrosis factor alpha by Abdalla, Eddie

    Published 1998
    “…Plasma leptin and ob gene mRNA levels were increased in mice following bacterial peritonitis, and blocking an endogenous tumor necrosis factor alpha (TNF-α) response blunted the increase. …”
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    Increasing methylation of sperm rDNA and other repetitive elements in the aging male mammalian germline by Ramya Potabattula (4401160)

    Published 2020
    “…<p dir="ltr">In somatic cells/tissues, methylation of ribosomal DNA (rDNA) increases with age and age‐related pathologies, which has a direct impact on the regulation of nucleolar activity and cellular metabolism. …”
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    Chemotherapy Regimen Predicts Steatohepatitis and an Increase in 90-Day Mortality After Surgery for Hepatic Colorectal Metastases by Vauthey, Jean-Nicolas

    Published 2006
    “…Patients with steatohepatitis had an increased 90-day mortality compared with patients who did not have steatohepatitis (14.7% v 1.6%, respectively; P = .001; OR = 10.5; 95% CI, 2.0 to 36.4). …”
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    Deep Learning for Arabic Error Detection and Correction by ALKHATIB, MANAR

    Published 2020
    “…We introduce an approach that investigates employing deep neural network technology for error detection in Arabic text. …”
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    Knowledge-based Deep Learning for Modeling Chaotic Systems by Elabid, Zakaria

    Published 2022
    “…Deep Learning has received increased attention due to its unbeatable success in many fields, such as computer vision, natural language processing, recommendation systems, and most recently in simulating multiphysics problems and predicting nonlinear dynamical systems. …”
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    Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

    Published 2024
    “…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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