1,721,114 research outputs found
Ultrasound evaluation of pupil: secrets of the “black hole” unveiled
No full textThis Letter to the Editor is in response to Stevens and colleagues, who presented a study about pupillometry in patients with traumatic brain injury. They did not find any correlation between pupil diameter and intracranial pressure. We agree with the clinical importance of pupil assessment and we would like to suggest the application of transorbital ultrasound for this evaluation. This approach has been proposed in the past and, with our work, we show the possible quantification of symmetry of pupil diameter variation in response to a stimulus. This approach may represent a proficient and safe method for patients’ supervision
Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings
Full text linkRecently, deep reinforcement learning has emerged as a popular approach for enhancing thermal energy management in buildings due to its flexibility and model-free nature. However, the time-consuming convergence of deep reinforcement learning poses a challenge. To address this, offline pre-training of deep reinforcement learning controllers using physics-based simulation environments has been commonly employed. However, developing these models requires significant effort and expertise. Alternatively, data-driven models offer a promising solution by emulating building dynamics, but they struggle to predict previously unseen patterns. Therefore, this paper introduces a strategy to effectively train and deploy a deep reinforcement learning controller by means of long short-term memory neural networks. The experiments were carried out using an EnergyPlus simulation environment as a proxy of a real building. An automatic and recursive procedure is designed to determine the minimum amount of historical data required to train a robust data-driven model which mimics building dynamics. The trained deep reinforcement learning agent meets safety requirements in the simulation environment after two and a half months of training. Additionally, it reduces indoor temperature violations by 80% while consuming the same amount of energy as a baseline rule-based controller
Functional popliteal artery entrapment syndrome: A brief overview of literature based on graph theory
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Letter to the Editor: Diagnosis of Mild-to-moderate Idiopathic Median Neuropathy at the Carpal Tunnel Based on Signs and Symptoms is Discordant From Diagnosis Based on Electrodiagnostic Studies and Ultrasound
No full textThe impact of diagnostic ultrasound in clinical medicine and in nerve evaluation: PubMed and Google Ngram Viewer compared
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