INTRODUCTION: Minerals may contribute to prevent and treat sarcopenia, the age-related loss of muscle mass, muscle strength, and physical performance. So far, there is no comprehensive review on the impact of minerals on sarcopenia outcomes. The aim of this systematic review is to evaluate the role of …

FD Mediagroep (FDMG1 ) is the leading information provider in the financial economic domain in the Netherlands. FDMG operates “Het Financieele Dagblad” (FD) a daily finan- cial newspaper, similar to the Financial Times. In addition, FDMG operates the daily all-news radio station “Business News Radio” …

Personalization of media services is gaining more and more traction, e.g., through the rise of personalization driven by recommender systems across media outlets. At the same time, we see a general rise in distrust and skepticism around the collection and processing of personal data, spurred by policy …

In this demonstration paper we describe the SMART Radio app 1 forBNRNieuwsradio. TheSMARTRadioappisanextensionto the current BNR app, which offers users a more personalized news radio experience. It does so by automatically fragmenting shows to offer our users more targeted and focused fragments of audio, …

Rationale: Minerals may contribute to prevent and treat sarcopenia, the age-related loss of muscle mass, muscle strength, and physical performance. The aim of this systematic review is to evaluate the role of calcium, iron, magnesium, phosphorus, potassium, selenium, sodium, and zinc on muscle mass, …

We present a multilingual, open source system for cancer forum thread analysis, equipped with a biomedical entity tagger and a module for textual summarization. This system allows users to investi- gate textual co-occurrences of biomedical entities in forum posts, and to browse through summaries of long …

In this paper, we show our vision on prescriptive analytics. Prescriptive analytics is a field of study in which the actions are determined that are required in order to achieve a particular goal. This is different from predictive analytics, where we only determine what will happen if we continue current …

In this short paper, we address the interpretability of hidden layer representations in deep text mining: deep neural networks applied to text mining tasks. Following earlier work predating deep learning methods, we exploit the internal neural network activation (latent) space as a source for performing …

This research is performed to give an advice for the current problem of Canada Feeder Lines regarding the purifier installation. This research has given an answer to the following main question: ‘’What is the best way to improve the cost-effectivity of the purifier installation on board of a 10.000 DWT …