Methods We evaluated 27 consecutive patients (26 females and 1 male) who visited our Institute for spine diseases (scoliosis or hyperkyphosis). With the patient in a standing position, we performed a set of tests with a 3-dimensional rastereography (DIERS Formetric 4D) with different SL (5mm, 10mm and 15mm) placed alternatively under each foot. We assessed the variations of two important elemen...

Background The etiology of Adolescent Idiopathic Scoliosis has been investigated for years. Now that the genetic basis for the disease has been established, the actual mechanism for production of the curve still needs to be discovered. Several have proposed a theory involving balance, with the brain and spinal cord causing spinal curvature related to neurologic signals [1,2]. An opportunity to ...

example, Rao-Arelli et al. (1992b) showed that several isolates of H. glycines were initially classified as one Soybean cyst nematode (SCN) (Heterodera glycines Ichinohe), race by this scheme. However, when later tested with the most destructive pest of soybean [Glycine max (L.) Merrill], is estimated to be responsible for almost nine million megagrams in resistant genotypes other than the stan...

The Stone dualities for accessible categories and the subclass of Diers categories provide limit and colimit structuring principles for query languages and the associated database. As a motivating example, we consider relational databases. Relational databases are given by database schemata, the syntax, and the class of sets of relations satisfying the syntactic constraints, called instances. R...

Concept mapping is a technique used to provide a visual representation of an individual’s ideas about a concept or set of related concepts. This paper describes a concept mapping tool using a photograph association technique (CoMPAT) that is considered to be a novel way of eliciting children’s ideas. What children at 11 years of age know about particular concepts related to microbial activity i...

We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated according to (noisy) observations from experts, whose behaviors are modeled using discrete types. We propose recommendation techniques, inference methods, and query selection strategies to assist a user charged with choosing a conf...