130,560 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
No full textRecently, 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
Peripheral neuropathies seen by ultrasound: A literature analysis through lexical evaluation, geographical assessment and graph theory
No full text(1) Background: Ultrasound is a well-known tool used for the diagnosis and management of many diseases, including peripheral neuropathies. The main aim of this study was the lexical analysis of the literature on this topic considering the most cited words and the relationship between the words and the papers. Furthermore, a geographical analysis was performed to evaluate the worldwide prevalence. (2) Methods: We performed a literature search on PubMed, and we calculated the occurrence of the words indicating nerves and the body parts. Furthermore, we calculated the number of papers for each country, considering the affiliation of the first author. Finally, to describe the relationships between the words and the papers, we used the 30 most cited words, and we built a matrix describing in which papers a word was cited. This matrix was used to create a network based on the graph theory using Gephi 0.9.2 software. (3) Results: The most cited nerves were median and ulnar ones, and the most cited body parts were hand, wrist and elbow. The United States of America was the most productive country, with 80 papers. The graph of the network showed the importance of ultrasound as support for therapy. (4) Conclusions: The study represents a lexical analysis of the literature and shows information about subjects, authors and relationships of the papers. This may be helpful for better understanding and evaluation of the situation of the current literature
The impact of diagnostic ultrasound in clinical medicine and in nerve evaluation: PubMed and Google Ngram Viewer compared
No full textConsideration about "sonographic evaluation of peripheral nerves in subtypes of Guillain-Barré syndrome
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Comment on "Cut-off points to identify sarcopenia according to European Working Group on Sarcopenia in Older People (EWGSOP) definition"
No full textBahat and colleagues presented cut-off values for muscle mass and strength and calf circumference for correct application, in Turkish population, of European Working Group on Sarcopenia in Older People criteria. The work is important to assess this condition on the basis of population-specific data. Ageing care represents a target of modern medicine and sarcopenia, consequence of it, can worse the quality of life. Assessing this, considering population characteristics, as authors described, is very functional in medical practice. We would suggest consideration of people older than 90 years as different elderly subclass and application of technological tools to monitor muscular performance
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