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Giving cancer patients the support they need
Published 2016“…This percentage is expected to increase ten-fold by 2050, which could have significant implications for cancer care.…”
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Giving fragile bones a stronger foothold
Published 2016“…“By compiling this information, we give a wider audience the chance to understand which factors are involved in its development,” he says of the review, published in the Journal of Local and Global Health Science. …”
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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
Published 2024“…This study aimed to model past, present, and future LULCC on Land Surface Temperatures in the Greater Amman Municipality (GAM) in Jordan between 1980 and 2030. …”
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Giving anaemic cardiac surgery patients a better chance
Published 2016“…</p><p>The Egyptian researchers concluded that, although the trial was commendable, it still does not answer the question of when to give blood transfusion to cardiac surgery patients. …”
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A comparison of peer, teacher and self-feedback on the reduction of language errors in student essays
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
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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Potential of horizontal louvers in increased energy savings in a commercial building in Dubai
Published 2018“…This is because the louver dimensions give an optimum solution for shading profile of the horizontal louvers used on south direction. …”
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Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
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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Increased Levels of Circulating and Tumor-Infiltrating Granulocytic Myeloid Cells in Colorectal Cancer Patients
Published 2016“…<p dir="ltr">Increased levels of myeloid cells, especially myeloid-derived suppressor cells (MDSCs), have been reported to correlate with bad prognosis and reduced survival in cancer patients. …”
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Increasing methylation of sperm rDNA and other repetitive elements in the aging male mammalian germline
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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Deep Learning for Arabic Error Detection and Correction
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
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
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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Assessment of tropospheric NO<sub>2</sub> concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202...
Published 2024“…<p dir="ltr">This study presents a temporal evaluation of the tropospheric NO<sub>2</sub> column densities over Greater Doha using TROPOMI satellite data from May 2018 to December 2023, and an assessment of the impact of the preparations and hosting of the FIFA Football World Cup Qatar 2022, on NO<sub>2</sub> levels before, during and after the tournament over Greater Doha. …”
