We present encube—a qualitative, quantitative and comparative visualisation and analysis system, with application to high-resolution, immersive three-dimensional environments and desktop displays. encube extends previous comparative visualisation systems by considering: (1) the integration of comparative visualisation and analysis into a unified system; (2) the documentation of the discovery pr...

The Multidimensional Ethics Scale is an eight-item, three-subscale measure developed in Reidenbach and Robin (1990) and subsequently applied in at least ten empirical studies of business ethics. Despite two failed replication studies and two skeptical critiques, business ethics researchers continue to use the scale. Given the lingering uncertainty about the scale and its continued use in empiri...

The present study aimed at developing a new scale that operationalizes a hierarchical model of somatic complaints. First, 63 items representing a wide range of symptoms and sensations were compiled from somatic complaints scales and emotion literature. These complaints were rated by Belgian students (n = 307) and Belgian adults (n = 603). Exploratory factor analyses identified a gastrointestina...

BACKGROUND The study aimed to validate a scale to assess the severity of "Yin deficiency, intestine heat" pattern of functional constipation based on the modern test theory. METHODS Pooled longitudinal data of 237 patients with "Yin deficiency, intestine heat" pattern of constipation from a prospective cohort study were used to validate the scale. Exploratory factor analysis was used to exami...

Crowd employment is a new form of short term and flexible employment which has emerged during the past decade. For understanding this new form of employment, it is crucial to understand the underlying motivations of the workforce involved in it. This paper presents the Multidimensional Crowdworker Motivation Scale (MCMS), a scale for measuring the motivation of crowdworkers on micro-task platfo...

With the rise of Big Data, the challenge for modern multidimensional data analysis and visualization is how it grows very quickly in size and complexity. In this paper, we first present a classification method called the 5Ws Dimensions which classifies multidimensional data into the 5Ws definitions. The 5Ws Dimensions can be applied to multiple datasets such as text datasets, audio datasets and...

We consider the separable quadratic multi-knapsack problem (QMKP) which consists in maximizing a concave separable quadratic integer function subject to m linear capacity constraints. The aim of this paper is to develop an effective method to compute an upper bound for (QMKP) from a surrogate relaxation originally proposed in Djerdjour et al. (1988). The quality of three other upper bounds for...

— A fuzzy clustering algorithm for multidimensional data is proposed in this article. The data is described by vectors whose components are linguistic variables defined in an ordinal scale. The obtained results confirm the efficiency of the proposed approach.

BACKGROUND Fibromyalgia is a chronic health condition characterized by widespread musculoskeletal pain, multiple tender points on physical examination, generalized muscular aching, stiffness, fatigue, nonrestorative sleep pattern, cognitive dysfunction, and mood disturbance. Recently, the Outcome Measures in Rheumatoid Arthritis Clinical Trials (OMERACT) Fibromyalgia Syndrome Workshop ranked an...