Background Patient, public, consumer, and community (P2C2) engagement in organization-, community-, and systemlevel healthcare decision-making is increasing globally, but its formal evaluation remains challenging. To define a taxonomy of possible P2C2 engagement metrics and compare existing evaluation tools against this taxonomy, we conducted a systematic review.   Methods A broad search strate...

dually flat finsler metrics form a special and valuable class of finsler metrics in finsler information geometry,which play a very important role in studying flat finsler information structure. in this paper, we prove that everylocally dually flat generalized randers metric with isotropic s-curvature is locally minkowskian.

The importance of security metrics can hardly be overstated. Despite the attention that has been paid by the academia, government and industry in the past decades, this important problem stubbornly remains open. In this survey, we present a survey of knowledge on security metrics. The survey is centered on a novel taxonomy, which classifies security metrics into four categories: metrics for mea...

In this paper, we propose an automatic evaluation procedure based on a metric which could provide summary evaluation without human assistance. Our system, which includes two metrics, for summary evaluation, is presented. The first metric is based on a known and powerful statistical test, the χ goodness-of-fit test, and has been used in several applications. The second metric is derived from thr...

Collaborative fluency is the coordinated meshing of joint activities between members of a well-synchronized team. We aim to build robotic team members that can work side-byside humans by displaying the kind of fluency that humans are accustomed to from each other. As part of this effort, we have developed a number of metrics to evaluate the level of fluency in human-robot shared-location teamwo...

Conventional metrics for Machine Translation evaluation have focused on using n-gram similarity between a reference translation and a system translation as an indication of the system quality. A simple n-gram model however cannot capture long-distance dependency, and the requirement of a reference translation has prevented the use of these metrics at the decoding stage. In this paper we propose...

We describe two metrics for automatic evaluation of machine translation quality. These metrics, BLEU and NEE, are compared to human judgment of quality of translation of Arabic, Chinese, French, and Spanish documents into English.

INTRODUCTION Human body acceleration is often used as an indicator of daily physical activity in epidemiological research. Raw acceleration signals contain three basic components: movement, gravity, and noise. Separation of these becomes increasingly difficult during rotational movements. We aimed to evaluate five different methods (metrics) of processing acceleration signals on their ability t...

Translation systems are generally trained to optimize BLEU, but many alternative metrics are available. We explore how optimizing toward various automatic evaluation metrics (BLEU, METEOR, NIST, TER) affects the resulting model. We train a state-of-the-art MT system using MERT on many parameterizations of each metric and evaluate the resulting models on the other metrics and also using human ju...

A wide range of abstract characteristics of partitions have been proposed for cluster evaluation. We empirically evaluated the performance of these metrics for flow cytometry data and found that the set-matching metrics perform closest to human.