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.

Open source software during the last decade has got phenomenal success but still people are hesitant in picking up open source products. Various Studies shows that the adoption rate of open source software is very low especially in the countries like India. Reliability and quality of open source software may be the main concern for the most users. Users not only want high reliable software but ...

This paper proposes some new software metrics that can be applied to UML modelling elements like classes and messages. These metrics can be used to predict various characteristics at the earlier stages of the software life cycle. A CASE tool is developed on top of Rational Rose using its BasicScript language and we provide some examples using it.

A Software product line represents systems having conceptual similarity. All the systems in the product line have commonalities and variability. Feature models are often used to represent this intrinsic commonality and variability. They have a tree-like structure. A feature model which is low in quality will have negative effect over all the products belonging to the product line. Thus, early i...

Neural Networks (NN) hold the potential for improving a variety of tasks in remote sensing and image processing. They represent a different approach to problems, as they do not rely on statistical relationships. Instead, neural networks adaptively estimate continuous functions from data without specifying mathematically how outputs depend on inputs. This paper evaluates the effect of metrics se...

Edit distance metrics are widely used for many applications such as string comparison and spelling error corrections. Hamming distance is a metric for two equal length strings and Damerau-Levenshtein distance is a well-known metrics for making spelling corrections through string-to-string comparison. Previous distance metrics seems to be appropriate for alphabetic languages like English and Eur...

Creating an efficient and effective system is a motto of a software engineer. The companies are spending 60% of cost for producing good quality software, software metrics require to measure qualitative in terms of software performance and reliability related characteristics like dependencies, coupling and cohesion etc. This paper proposes a set of new measures to find coupling and cohesion in a...

Speech enhancement and separation algorithms sometimes employ a two-stage processing scheme, wherein the signal is first mapped to an intermediate low-dimensional parametric description after which the parameters are mapped to vectors in codebooks trained on, for example, individual noise-free sources using a vector quantizer. To obtain accurate parameters, one must employ a good estimator in f...

This thesis presents an investigation into the usefulness of software measurement techniques, also known as software metrics, for software written in functional programming languages such as Haskell. Statistical analysis is performed on a selection of metrics for Haskell programs, some taken from the world of imperative languages. An attempt is made to assess the utility of various metrics in p...