Twitter should be an ideal place to get a fresh read on how different issues are playing with the public, one that's potentially more reflective of democracy in this new media age than traditional polls. Pollsters typically ask people a fixed set of questions, while in social media people use their own voices to speak about whatever is on their minds. However, the demographic distribution of users on Twitter is not representative of the general population. In this paper, we present a demographic classifier for gender, age, political orientation and location on Twitter. We collected and curated a robust Twitter demographic dataset for this task. Our classifier uses a deep multi-modal multitask learning architecture to reach a stateof-the-art performance, achieving an F1-score of 0.89, 0.82, 0.86, and 0.68 for gender, age, political orientation, and location respectively.
This paper describes our approach for the Detecting Stance in Tweets task (SemEval-2016 Task 6). We utilized recent advances in short text categorization using deep learning to create word-level and character-level models. The choice between word-level and characterlevel models in each particular case was informed through validation performance. Our final system is a combination of classifiers using word-level or character-level models. We also employed novel data augmentation techniques to expand and diversify our training dataset, thus making our system more robust. Our system achieved a macro-average precision, recall and F1-scores of 0.67, 0.61 and 0.635 respectively.
Hemodialysis (HD) in neonates and infants poses unique challenges due to high risks of mortality attributable to obligatory small blood flow volumes. Although HD is often necessary in neonates, its effectiveness and feasibility are poorly understood. The aim of this review is to describe in detail the few studies reporting on HD in neonates and infants (<12 months old) and then dissertate more broadly on the subject with an emphasis on recent innovations with potential to overcome traditional barriers for effective HD in this population. We detail the clinical characteristics, outcomes, technical considerations, maintenance and complications associated with HD, and provide guidance for addressing challenges associated with HD in this population.
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