Background We conducted a volume-outcome (VO) meta-analysis of PEA procedures for
chronic thromboembolic pulmonary hypertension (CTEPH), to objectively determine the …

Background The Nuss procedure is the accepted standard approach to correct pectus
excavatum. Still, is associated with potential major complications that are in part believed to …

Due to increasing environmental concerns and demand for clean energy resources,
photovoltaic (PV) systems are becoming more prevalent. Considering that in several …

In this paper, the k-means, k-medoids, fuzzy c-means, Density-Based Spatial Clustering of
Applications with Noise (DBSCAN), Ordering Points To Identify the Clustering Structure …

Every day, large-scale data are continuously generated on social media as streams, such as
Twitter, which inform us about all events around the world in real-time. Notably, Twitter is …

Long-term time-series forecasting is an extensive research topic and is of great significance
in many fields. However, the task of long-term time-series forecasting is accompanied by the …

Abstract Background and Aims The current study proposes a novel volume–outcome (V–O)
meta-analytical approach to determine the optimal annual hospital case volume threshold …

Training support vector machines (SVMs) for pixel-based feature extraction purposes from
aerial images requires selecting representative pixels (instances) as a training dataset. In …

National boundaries and country averages are commonly used as delimiters and proxies for
culture. By doing so, not enough attention is paid to cultural heterogeneity within and …

Identifying the most complete (best recorded) portion of an eruption record is essential
before estimating eruption recurrence and probability. This is typically achieved by plotting …