Purpose: Increased patellofemoral joint reaction force (PFJRF) is the main cause of patellofemoral pain syndrome (PFP). Foot pronation causes faulty joint coupling of the lower limb and increases the PFJRF. Therefore, the aim of systematic review is effect of the distal interventions on the clinical symptoms and kinematic of PFP patients.   Methods: The search strategy was carried out from Goo...

Economic satiation is the idea that once people have attained an adequate level of income and consumption they reach a satiation point at which income and consumer goods become less effective as reinforcers and as sources of satisfaction. Advocates of a sustainable society have seen economic satiation as a natural method for reducing the overconsumption of goods and thereby producing environmen...

Roderick Chisholm’s work spans six decades and an impressive range of subjects. His books and articles on Brentano and Meinong, together with his work as a translator and editor, and as director of the Brentano Foundation, brought Anglo-American analytic philosophy back into contact with the riches of the Austrian philosophical tradition. He wrote several important papers on the foundations of ...

In this paper, we target the extraction of whole-part relations involving human entities and body-part nouns occurrences in texts using STRING, a hybrid statistical and rule-based Natural Language Processing chain for Portuguese. Whole-part relation is a semantic relation between an entity that is perceived as a constituent part of another entity, or a member of a set.

It is a common practice to model object detectors as collection of filters. For these detectors to be effective, it is important to select “good filters” covering most of the variation of the data. In order to achieve this, these methods invest majority of their time selecting a good subset of filters from a large pool. Good filters are less cluttered and their gradients are spatially correlate...

Image generation remains a fundamental problem in artificial intelligence in general and deep learning in specific. The generative adversarial network (GAN) was successful in generating high quality samples of natural images. We propose a model called composite generative adversarial network, that reveals the complex structure of images with multiple generators in which each generator generates...