University rankings generally present users with the problem of placing the results given for an institution in context. Only a comparison with the performance of all other institutions makes it possible to say exactly where an institution stands. In order to interpret the results of the SCImago Institutions Ranking (based on Scopus data) and the Leiden Ranking (based on Web of Science data), i...

Despite the success of deep learning on representing images for particular object retrieval, recent studies show that the learned representations still lie on manifolds in a high dimensional space. Therefore, nearest neighbor search cannot be expected to be optimal for this task. Even if a nearest neighbor graph is computed offline, exploring the manifolds online remains expensive. This work in...

the s-transform has widely been used in the analysis of non-stationary time series. a simple method to obtain depth estimates of gravity field sources is introduced in this study. we have developed a new method based on the spectral characteristics of downward continuation to estimate depth of structures. this calculation procedure is based on replacement of the fourier transform with the s-tra...

Knowing your customers and their needs is mandatory when conducting business. In an e-commerce environment, where one often knows much less about individual customers than in a face-to-face business, questionnaires besides historical transaction data and basic information like names and geographic location are popular means to get to know customers. Here we report on an approach to analyze pref...

anomalies of origin, course, and distribution of coronary arteries, including single coronary artery, are well known in patients with tetralogy of fallot. however, to the best of our knowledge, there is no published case report of pentalogy of fallot with a single coronary artery. herein, we introduce a 22-year-old female patient diagnosed via echocardiography and cardiac catheterization preope...

Optimal spectral decomposition (OSD) is applied to ocean data assimilation with variable (temperature, salinity, or velocity) anomalies (relative to background or modeled values) decomposed into generalized Fourier series, such that any anomaly is represented by a linear combination of products of basis functions and corresponding spectral coefficients. It has three steps: 1) determination of t...