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Predictores de vasoespasmo cerebral sintomático en la hemorragia subaracnoidea espontánea
Published 2014-10-01“…Low scores on the Glasgow Coma scale and high scores on the Hunt and Hess scale and the World Federation of Neurosurgical Societies scale are related to the presence of symptomatic cerebral vasospasm in spontaneous subarachnoid hemorrhage. …”
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Selection of electrochemical and electrical energy storage systems for off-grid renewable energy mini-grids: A review
Published 2025-03-01“…Finally, challenges in deploying the proposed hybrid energy storage system (HESS) configurations are discussed and areas needing further research for improvement are proposed.…”
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From Boole to Leggett-Garg: Epistemology of Bell-Type Inequalities
Published 2016-01-01Get full text
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Clinical Presentation and Course of Pulmonary Involvement in Chronic Nonbacterial Osteomyelitis
Published 2025-01-01Get full text
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A Case of Leukocytoclastic Vasculitis and Associated Conjunctivitis Following MMR Vaccine Administration
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Endovascular Treatment of Intracranial Artery Dissection: Clinical and Angiographic Follow-Up
Published 2013-01-01“…Overall, 83.3% of the patients suffered a subarachnoid hemorrhage (SAH). Grade IV Hunt and Hess score was seen in 32% of the SAH presenting cases. …”
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Testing the Flux Rope Paradigm for Coronal Mass Ejections Using a Three-spacecraft Encounter Event
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Stroke survivors’ health literacy is not associated with caregiver burden: a cross-sectional study
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Effect of Bariatric Weight Loss on the Adipose Lipolytic Transcriptome in Obese Humans
Published 2015-01-01Get full text
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Can Effects of a Generalized Uncertainty Principle Appear in Compact Stars?
Published 2024-12-01Get full text
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Using new control strategies to improve the effectiveness and efficiency of the hybrid power system based on the battery storage system
Published 2025-02-01“…Abstract Hybrid energy systems (HESs) are integrated systems that have successfully addressed the problems of meeting the increasing demand for electrical power. …”
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Time-series forecasting of microbial fuel cell energy generation using deep learning
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Biomarkers to predict the outcomes of surgical intervention for aortic dissection
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