A follow-up of the 1990s review of qualitative research articles published in three North American sport psychology journals (Culver, Gilbert, & Trudel, 2003) was conducted for the years 2000–2009. Of the 1,324 articles published, 631 were data-based and 183 of these used qualitative data collection techniques; an increase from 17.3% for the 1990s to 29.0% for this last decade. Of these, 31.1% ...

The NDVI dataset with high temporal and spatial resolution (HTSN) is significant for extracting information about the phenological change of vegetation in regions with a complex earth surface. The Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) has been successfully applied to synthesize the HTSN by fusing the data with different characteristics. Based on the model, there are tw...

Code lists are a key part of budget datasets as they serve for the coding of fiscal concepts within them. However, the great diversity of classifications across countries and concepts does not allow to presume upon their actual value, as dimension properties. In this paper we discuss the need for creating code lists Linked Data for the classifications used in fiscal datasets, in three basic ste...

Identifying inaccurate data has long been regarded as a di cult and signi cant problem in AI. In this paper, we present a new method to identify inaccurate data by considering qualitative connections among data. First, we put forward a new concept called support coe cient function(SCF). SCF can be used to extract, represent, and calculate qualitative e ects among data to enhance or depress the ...

OBJECTIVE The objective of this study is to outline explicit criteria for assessing the contribution of qualitative empirical studies in health and medicine, leading to a hierarchy of evidence specific to qualitative methods. STUDY DESIGN AND SETTING This paper arose from a series of critical appraisal exercises based on recent qualitative research studies in the health literature. We focused...

With the boom in E-commerce, practitioners and researchers are increasingly generating marketing and strategic insights by employing the Internet as an effective new tool for conducting well-established forms of qualitative research (TISCHLER 2004). The potential of Internet as a rich data source and an attractive arena for qualitative research in e-commerce settings—in other words cyberspace a...

The scenario of classification with imbalanced data-sets has supposed a serious challenge for researchers along the last years. The main handicap is related to the large number of real applications in which one of the classes of the problem has a few number of examples in comparison with the other class, making it harder to be correctly learnt and, what is most important, this minority class is...

In the RoboCupRescue environment, one of the biggest problems in choosing the best team strategy is the inability to properly compare the advantages and limitations each strategy provides. This paper presents a new tool for the performance evaluation of Rescue Simulation agents, overcoming the limitations imposed by using solely the overall score. By extracting and processing a wide set of para...

Entity Resolution is a core task for merging data collections. Due to its quadratic complexity, it typically scales to large volumes of data through blocking: similar entities are clustered into blocks and pair-wise comparisons are executed only between co-occurring entities, at the cost of some missed matches. There are numerous blocking methods, and the aim of this work is to offer a comprehe...

This paper provides a computational analysis of wind impact on different geometric configurations of Savonius turbines proposed and previously studied in specialized literature. As a result of comparative analysis of turbines, we performed a flow analysis over a microturbine array, proposed a twisted Savonius turbine respecting its original profile, and subjected it to a comparative analysis of...