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Decreased phosphodiesterase activities in cardiac hypertrophy
Published 2007“…In S myocytes, PDE3 inhibition had no effect on ICa,L time-course, whereas PDE4 inhibition prolonged the signal. …”
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Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach
Published 2025“…The parameters of the fine-tuned YOLOv11 decreased by 30% relative to the previous version, resulting in a very small model size of 5.5 MB and reduced processing time. …”
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Studies on Natural Extracts as Inhibitors of Mild Steel Corrosion in 1M HC1 Solution
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Decreased Expression and Activity of cAMP Phosphodiesterases in Cardiac Hypertrophy and Its Impact on β-Adrenergic cAMP Signals
Published 2009“…Methods and Results: Cardiac hypertrophy was induced in rats by thoracic aortic banding over a time period of 5 weeks and was confirmed by anatomic measurements and echocardiography. …”
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Integration of Wind Catchers in Modern Residential Buildings in the UAE as a Means of Providing Thermal Comfort
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
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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Timing driven genetic placement
Published 2020“…IN this paper we present a timing driven placer for standard cell IC design. …”
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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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Corrosion Inhibition of Mild Steel in 2M HCl Using Aqueous Extract of Eggplant Peel
Published 2011“…The objective of this study was to investigate the inhibitive action of eggplant peel extract toward the corrosion of mild steel in 2M HCl solution by employing weight loss measurements and electrochemical techniques. …”
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Full Film, Boundary Lubrication and Tribochemistry in Steel Circular Contacts Lubricated with Glycerol
Published 2015“…In fact, water produced in the lubricant decreases traction forces due to the drastic decrease of the viscosity of glycerol with water addition.…”
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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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Influence of temperature on tire-pavement noise in hot climates: Qatar case
Published 2021“…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
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Artificial Intelligence Chatbots: A Survey of Classical versus Deep Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques
Published 2023“…In addition to classical ML techniques, Deep Learning (DL) has attracted many researchers to develop chatbots using more sophisticated and accurate techniques. …”
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Use of deep vein thrombosis prophylaxis in hospitalized cancer patients
Published 2009“…Several options are available to increase physicians' awareness of the problem.…”
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
Published 2025“…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …”