In-depth cardiovascular and pulmonary assessments in children with multisystem inflammatory syndrome after SARS-CoV-2 infection: A case series study

We assessed PET-CT myocardial blood flow (MBF) using N-13 ammonia, brachial flow-mediated dilation, and cardiopulmonary exercise test in five post-discarged MIS-C survivors. None of the patients (median age: 9, range: 7-18 years; 3 females; 2 males) had preexisting pediatric chronic conditions. At the follow-up visit, two patients exhibited severe perfusion defect developed in the left ventricular cavity, suggesting extensive myocardial ischemia (MBF <2.0) and one patient showed persistent mild pericardial effusion. Others two patients demonstrated endothelial dysfunction. Nevertheless, all patients had lower predicted values in the VO2peak, VO2VAT, OUES, and O2 Pulse (range: 35.2%–64.5%; 15.6%–38.2%; 1.0–1.3 L/min; 4–7 ml/beat), respectively. Our d suggested that previously health MIS-C patients had impaired MBF, endothelial dysfunction and lower cardiopulmonary capacity at follow-up analysis. Multidisciplinary further investigations should be conducted to reinforce these findings

On-line multi-threaded processing of web user-clicks on multi-core processors.

Medical imaging has become an absolutely essential diagnostic tool for clinical practices; at present, pathologies can be detected with an earliness never before known. Its use has not only been relegated to the field of radiology but also, increasingly, to computer-based imaging processes prior to surgery. Motion analysis, in particular, plays an important role in analyzing activities or behaviors of live objects in medicine. This short paper presents several low-cost hardware implementation approaches for the new generation of tablets and/or smartphones for estimating motion compensation and segmentation in medical images. These systems have been optimized for breast cancer diagnosis using magnetic resonance imaging technology with several advantages over traditional X-ray mammography, for example, obtaining patient information during a short period. This paper also addresses the challenge of offering a medical tool that runs on widespread portable devices, both on tablets and/or smartphones to aid in patient diagnostics

Modeling performance-driven workload characterization of web search systems

In this paper we model workloads for a web search system from the performance point of view. We analyze both workload intensity and service demand parameters expressed in the context of web search systems as the distribution of the interarrival times of queries and the per-query execution time, respectively. Our results are derived from experiments in an information retrieval testbed fed with real-world experimental data. Our findings unveil a certain number of unexpected and interesting features. We verify in practice that there is a high variability in both interarrival times of queries reaching a search engine and service times of queries processed in parallel by a cluster of index servers. We also show that this highly variable behavior can be accurately captured by hyperexponential distributions. These results shed light on the usual assumption taken by previous analytical models for web search systems found in the literature that interarrival times and service times are exponentially distributed. We find evidence that the intensity and service demand workloads of a typical web search system present long-range dependence characteristics, leading to self-similar behavior. This finding is important because, in the presence of long-range dependence and self-similarity, exponential-based models tend to underestimate response times as self-similarity leads to increased queueing delays, resulting in significant performance degradation. Based on our findings, we also discuss possible steps toward a generative model for synthetic workloads. 1