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In this paper we present the results of an agent-based model of open innovation, which suggest the network knowledge advantage underlying open interfirm networks of innovation, as opposed to an advantage arising from the interfirm network structure. To dat ...
With an ever-increasing understanding of the brain mechanisms associated with core human attributes and values, there is an increasing public interest in the results of neuroscience research and the ways in which that new knowledge will be used. Here, we p ...
Standardization can be performed only in a field in which the knowledge of the physical phenomena and of the behavior of the given installation is sufficiently known. The role of the universities is to perform research in order to clarify such these points ...
The search for external knowledge must necessarily be accompanied by effective organizational learning. The effectiveness of learning is dependent on quite dissimilar factors based on whether the learning objective is explorative or exploitative. Moreover, ...
Efficient Protocols for Set Membership and Range Proofs The goal of this master thesis was to give a major contribution in the domain of honest verifier zero-knowledge set membership and range proof. In order to do so, some investigation has been done on d ...
The last decades have seen the most important improvements of the safety on the road. But most of the accidents are still coming from the driver when a source of danger is not noticed or when the reaction is not correct during an unusual situation. Two way ...
The processing and characterization of electrical properties of potassium niobate ceramic, KNbO3 (KN) have been studied. The difficulty of obtaining dense samples by conventional methods limits the knowledge on electrical properties of this material. In th ...
This paper reports a study on short-time subharmonic pitch breaks in vocal fold vibration, which are found to be a common feature of the human voice in spoken language. The observed pitch breaks correspond to a change in periodicity of the electrolaryngogr ...
The CSCL community faces two main challenges with respect to learning and argumentation. The scientific challenge is to understand how argumentation produces learning, that is to discover which cognitive mechanisms, triggered by argumentative interactions, ...
This paper presents an SVM--based algorithm for the transfer of knowledge across robot platforms aiming to perform the same task. Our method exploits efficiently the transferred knowledge while updating incrementally the internal representation as new inf ...
