Abstract
Transposable Elements (TE) are sequences of DNA that move and transpose within a genome. TEs, as mutation agents, are quite important for their role in both genome alteration diseases and on species evolution. Several tools have been developed to discover and annotate TEs but no single one achieves good results on all different types of TEs. In this paper we evaluate the performance of several TEs detection and annotation tools and investigate if Machine Learning techniques can be used to improve their overall detection accuracy. The results of an in silico evaluation of TEs detection and annotation tools indicate that their performance can be improved by using machine learning classifiers. © Springer International Publishing Switzerland 2013.

Abstract
Intelligent wheelchairs can become an important solution to assist physically impaired individuals who find it difficult or impossible to drive regular powered wheelchairs. However, when designing the hardware architecture several projects compromise the user comfort and the wheelchair normal usability in order to solve robotic problems. In this paper we describe the main concepts regarding the design of the IntellWheels intelligent wheelchair. Our approach has a user-centered perspective, in which the needs and limitations of physically impaired users are given extensive attention at each stage of the design process. Finally, our design was evaluated through a public opinion assessment. A statistical analysis suggested that the design was effective to mitigate the visual and ergonomic impacts caused by the addition of sensorial and processing capabilities on the wheelchair. © 2013 IEEE.

Abstract
The increase of foreign direct investment (FDI) in recent decades has prompted a great deal of research into the phenomenon of multinational companies. A vast amount of empirical literature on FDI presents a long list of determinants that try to explain direct investment by multinational companies in a particular location, such as infrastructure, market size, human capital, openness of the economy, and political stability. It is noticeable, however, that the results are not always consistent. This article provides a review of the theoretical approaches to, and empirical studies on, FDI in an attempt to single out the most robust factors for explaining the geographic distribution of FDI flows worldwide. It also suggests paths for future research in this area.

Abstract
The present paper deals with the question how system quality can be influenced within its engineering and manufacturing. It focuses on discrete manufacturing by system of systems and presents a methodology to gather and analyze relevant influences on system quality within a MPFQ-model. The model is based on four main elements: Materials, Processes, Functions and Quality. The paper brings together functional design/thinking in system of systems engineering with system engineering and manufacturing design. It will show the basic architecture behind the MPFQ model and how quality influences can be methodically detected. Afterwards the application of the MPFQ-model will be shown and benefits will be evaluated.

Abstract
Context Recognition is an important element for developing context aware mobile applications. However, context is mostly available as low-level sensor data that are in form not suitable for mobile applications. In this paper, we present a process that uses classifiers for recognizing high-level contexts from low-level sensor data. The process demonstrates accurate recognition of user activity contexts, using smart-phone built-in sensors. We describe and illustrate our context recognition model and then demonstrate its application in a context aware mobile multimedia recommendation system.

Abstract