Abstract
Innovation stills on the world's agenda as the holy grail of business success. Nevertheless, it stills hard for some communities to understand and embrace innovation processes in a systematic way as a continuum for regional development. Our stance is that innovation seeds, feeds innovation. That means, innovation won't work in a closed cycle, but rather in an open and cross-entity manner, forming a knowledge-managed regional development ecosystem. Accordingly, this paper describes a knowledge lab, designed as an intel structure to offer knowledge-intensive services towards the regional development of the "Tamega e Sousa" (NUTIII) Region. This knowledge lab aims at complementing the installed dynamics on innovation support and economic stimulus in a knowledge-based innovation management approach.

Abstract
FPGAs are becoming a popular solution for accelerating the execution of software applications. The use of high level synthesis (HLS) tools intends to provide levels of abstraction comfortable to software developers when targeting FPGA-based hardware accelerators. However, the need to restructure the software code and to use adequate directives require both mastering the HLS tool used and FPGA hardware. This paper presents our efforts to provide a new approach for code restructuring, intended to help software developers in achieving efficient hardware implementations. Our approach uses an unfolded graph representation, which is generated from program execution traces, together with graph-based optimizations such as folding to generate suitable C code to input to HLS tools, such as Vivado HLS. The experiments show that our approach is capable of generating C code that results in efficient hardware implementations only otherwise achievable using manual restructuring of the input software code and manual insertion of adequate directives. © VDE VERLAG GMBH · Berlin · Offenbach

Abstract
This paper describes the research, development and evaluation process of a solution based on computer vision for the detection and prevention of Computer Vision Syndrome, a type of eye fatigue characterized by the appearance of ocular symptoms during or after prolonged periods watching digital screens. The system developed targets users of computers and mobile devices, detecting and warning users to the occurrence of eye fatigue situations and suggesting corrective behaviours in order to prevent more complicated health consequences. The implementation resorts to machine learning techniques, using eye images datasets for training the eye state detection algorithm. OpenCV Lib was used for eye's segmentation and subsequent fatigue analysis. The final goal of the system is to provide users and health professionals with quality data analysis of eye fatigue levels, in order to raise awareness over accumulated stress and promote behaviour change. © 2019 IEEE.

Abstract
The human development is used to evaluate the richness of human life, focusing on the people, on their opportunities and choices, rather than simply on the richness of economies. As for national culture, it is understood as a set of characteristics that distinguish members and that may influence all aspects of social and individual life. This study hypothesizes that national culture, measured using Hofstede's six cultural dimensions, has an impact on corruption and on innovation, and that less corrupt and more innovative nations create better welfare conditions and human development for their habitants. To test the proposed framework, data were obtained from Hofstede's, Transparency International, Global Innovation, and United Nations Development Programme websites for the year 2012. Using PLS-SEM, the results show that cultural factors play a smaller role on determining innovation than corruption, and that decreasing corruption is more important to improve human development than increasing innovation.

Abstract

Abstract