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Small molecule inhibitors of α-synuclein oligomers identified by targeting early dopamine-mediated motor impairment in C. elegans
Published 2021“…Three of these compounds also decreased α-synuclein oligomers in mammalian neurons, including rifabutin which has not been previously investigated for Parkinson’s disease. …”
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Can Geneva Survive Astana?
Published 2022“…By the initiation of the Astana process, the UN lost its monopoly in peacemaking, and its legitimacy as a mediator started to decrease gradually. Eventually, the UN's peacemaking in Syria became paralyzed, and UN mediation passed the point of credibility. …”
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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
Published 2021“…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”
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Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC)
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doctoralThesis -
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Resveratrol-Elicited PKC Inhibition Counteracts NOX-Mediated Endothelial to Mesenchymal Transition in Human Retinal Endothelial Cells Exposed to High Glucose
Published 2021“…<p dir="ltr">Diabetes-associated long-term hyperglycaemia leads to oxidative stress-mediated fibrosis in different tissues and organs. …”
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The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000)
Published 2000“…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …”
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masterThesis -
29
Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
Published 2023“…Deep RL is utilized to model the EV chargers and the EV users. …”
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
Published 2023“…Deep RL is utilized to model the EV chargers and the EV users. …”
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Human Recombinant Arginase I (Co)-PEG5000-Induced Arginine Depletion of Breast Cancer Cell Lines Causes Autophagy Mediated Cell Death
Published 2024“…In this study, we showed for the first time that arginine deprivation induced by a recombinant human arginase drug induces selective cytotoxicity mediated by autophagy in distinct human breast cancer cell lines. …”
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FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults
Published 2024“…In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …”
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ROS-Mediated Autophagic Death in Glioblastoma Cells Upon Treatment by Human Recombinant Arginase I (Co)- PEG5000 [HuArgI (Co)-PEG5000]
Published 2021“…Addition of N-acetyl-cysteine (NAC); being a reactive oxygen species (ROS) scavenger, led to a significant decrease in the cytotoxicity of arginine deprivation to U251 and A172 cells, indicating that ROS generation reversed the cytotoxicity of arginine deprivation to GBM cells. …”
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Combining Saliency with Prediction for Endoscopic Diagnosis
Published 2020Get full text
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Preparation of albumin-targeted liposomes and the study of their release characteristics using ultrasound
Published 2016Get full text
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Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security
Published 2025“…This research presents a deep learning technique based on the Shifted Window (Swin) Transformer, a powerful attention-based model that effectively captures both local and global information for enhanced classification output. …”
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Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN
Published 2025“…The results of our study highlight the capacity of deep learning to improve the diagnosis of pediatric trauma, decrease the burden on radiologists, and boost patient outcomes.…”
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