Static Malware Detection Using Stacked BiLSTM and GPT-2

In recent years, cyber threats and malicious software attacks have been escalated on various platforms.Therefore, it has become essential to develop automated machine learning methods for defending against malware.In the present study, we propose stacked bidirectional long short-term memory (Stacked BiLSTM) and generative pre-trained transformer ba

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Evaluation of Remote Pharmacist-Led Outpatient Service for Geriatric Patients on Rivaroxaban for Nonvalvular Atrial Fibrillation During the COVID-19 Pandemic

ObjectiveThis study was designed to evaluate the efficacy of remote medication management of rivaroxaban by pharmacists for geriatric patients with nonvalvular atrial fibrillation during the COVID-19 pandemic.MethodsA single-site, prospective cohort study was conducted among patients with non-valvular atrial fibrillation who received rivaroxaban th

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