AimTo investigate: (a) language difficulties in children with developmental coordination disorder (DCD), and (b) motor difficulties in children with developmental language disorder (DLD).MethodIn this systematic review, PubMed, CINAHL, PsycINFO, and Embase were searched to identify peer-reviewed studies. Two researchers independently identified, screened and evaluated the methodological quality of the included studies following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). For objective (a), we combined the terms: “developmental coordination disorder” AND “language skills” AND “children”. For objective (b) we combined the terms: “developmental language disorder” AND “motor skills” AND “children”.ResultsTen studies on language skills in children with DCD and 34 studies on motor skills in children with DLD are included, most with relatively good methodological quality. The results for language comprehension and production in children with DCD are contradictory, but there is evidence that children with DCD have communication and phonological problems. Evidence for general motor problems in children with DLD is consistent. Studies report problems in balance, locomotor, and fine motor skills in children with DLD. Evidence for aiming and catching skills is inconsistent.InterpretationThe findings of this systematic review highlight the co-occurrence of language impairments in children with DCD and motor impairments in children with DLD. Healthcare professionals involved in the assessment and diagnosis of children with DCD or DLD should be attentive to this co-occurrence. In doing so, children with DCD and DLD can receive optimal interventions to minimize problems in their daily life.
The scientific literature represents a rich source for retrieval of knowledge on associations between biomedical concepts such as genes, diseases and cellular processes. A commonly used method to establish relationships between biomedical concepts from literature is co-occurrence. Apart from its use in knowledge retrieval, the co-occurrence method is also wellsuited to discover new, hidden relationships between biomedical concepts following a simple ABC-principle, in which A and C have no direct relationship, but are connected via shared B-intermediates. In this paper we describe CoPub Discovery, a tool that mines the literature for new relationships between biomedical concepts. Statistical analysis using ROC curves showed that CoPub Discovery performed well over a wide range of settings and keyword thesauri. We subsequently used CoPub Discovery to search for new relationships between genes, drugs, pathways and diseases. Several of the newly found relationships were validated using independent literature sources. In addition, new predicted relationships between compounds and cell proliferation were validated and confirmed experimentally in an in vitro cell proliferation assay. The results show that CoPub Discovery is able to identify novel associations between genes, drugs, pathways and diseases that have a high probability of being biologically valid. This makes CoPub Discovery a useful tool to unravel the mechanisms behind disease, to find novel drug targets, or to find novel applications for existing drugs. © 2010 Frijters et al.
This study furthers game-based learning for circular business model innovation (CBMI), the complex, dynamic process of designing business models according to the circular economy principles. The study explores how game-play in an educational setting affects learning progress on the level of business model elements and from the perspective of six learning categories. We experimented with two student groups using our game education package Re-Organise. All students first studied a reader and a game role description and then filled out a circular business model canvas and a learning reflection. The first group, i.e., the game group, updated the canvas and the reflection in an interactive tutorial after gameplay. The control group submitted their updated canvas and reflection directly after the interactive tutorial without playing the game. The results were analyzed using text-mining and qualitative methods such as word co-occurrence and sentiment polarity. The game group created richer business models (using more waste processing technologies) and reflections with stronger sentiments toward the learning experience. Our detailed study results (i.e., per business model element and learning category) enhance understanding of game-based learning for circular business model innovation while providing directions for improving serious games and accompanying educational packages.
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