47 research outputs found
Using Advanced Integration Concepts for Trans-sector Innovation- View and Status
Electrical Engineering, Mathematics and Computer Scienc
Modal analysis of straight and curved integrated optical waveguides: An integral equation approach
Electrical Engineering, Mathematics and Computer Scienc
Design and Realization of Photothermally Actuated 2D/3D AFM Probes
Not available because of confidentiallityPrecision and Microsystems EngineeringMechanical, Maritime and Materials Engineerin
Integration or predictability? A further specification of the functional role of gamma oscillations in language comprehension
Gamma-band neuronal synchronization during sentence-level language comprehension has previously been linked with semantic unification. Here, we attempt to further narrow down the functional significance of gamma during language comprehension, by distinguishing between two aspects of semantic unification: successful integration of word meaning into the sentence context, and prediction of upcoming words. We computed event-related potentials (ERPs) and frequency band-specific electroencephalographic (EEG) power changes while participants read sentences that contained a critical word (CW) that was (1) both semantically congruent and predictable (high doze, HC), (2) semantically congruent but unpredictable (low cloze, LC), or (3) semantically incongruent (and therefore also unpredictable; semantic violation, SV). The ERR analysis showed the expected parametric N400 modulation (HC < LC < SV). The time-frequency analysis showed qualitatively different results. In the gamma-frequency range, we observed a power increase in response to the CW in the HC condition, but not in the LC and the SV conditions. Additionally, in the theta frequency range we observed a power increase in the SV condition only. Our data provide evidence that gamma power increases are related to the predictability of an upcoming word based on the preceding sentence context, rather than to the integration of the incoming word's semantics into the preceding context. Further, our theta band data are compatible with the notion that theta band synchronization in sentence comprehension might be related to the detection of an error in the language input
Information Structure Influences Depth of Syntactic Processing: Event-Related Potential Evidence for the Chomsky Illusion
Information structure facilitates communication between interlocutors by highlighting relevant information. It has previously been shown that information structure modulates the depth of semantic processing. Here we used event-related potentials to investigate whether information structure can modulate the depth of syntactic processing. In question-answer pairs, subtle (number agreement) or salient (phrase structure) syntactic violations were placed either in focus or out of focus through information structure marking. P600 effects to these violations reflect the depth of syntactic processing. For subtle violations, a P600 effect was observed in the focus condition, but not in the non-focus condition. For salient violations, comparable P600 effects were found in both conditions. These results indicate that information structure can modulate the depth of syntactic processing, but that this effect depends on the salience of the information. When subtle violations are not in focus, they are processed less elaborately. We label this phenomenon the Chomsky illusion
Recognizing the emotional valence of names: An ERP study
Unlike common nouns, person names refer to unique entities and generally have a referring function. We used event-related potentials to investigate the time course of identifying the emotional meaning of nouns and names. The emotional valence of names and nouns were manipulated separately. The results show early N1 effects in response to emotional valence only for nouns. This might reflect automatic attention directed towards emotional stimuli. The absence of such an effect for names supports the notion that the emotional meaning carried by names is accessed after word recognition and person identification. In addition, both names with negative valence and emotional nouns elicited late positive effects, which have been associated with evaluation of emotional significance. This positive effect started earlier for nouns than for names, but with similar durations. Our results suggest that distinct neural systems are involved in the retrieval of names' and nouns' emotional meaning. Crown Copyright (c) 2013 Published by Elsevier Inc. All rights reserved
Visitatierapport Woonpartners. Deel 1: Maatschappelijke prestaties
Verantwoording op basis van de methodiek van de Stichting Visitatie Woningcorporaties Nederland.OTB ResearchOTB Research Institute for the Built Environmen
Design of architecture principles for a logistics focused, multi-sided data marketplace architecture
In today’s increasingly interconnected and digitized world, the logistics industry plays a critical role in global trade, enabling the seamless movement of goods across essential supply chains (Reinsel et al., 2020). The rapid evolution of digital technologies has led to an unprecedented proliferation of data generated from various aspects of logistics operations. However, despite the potential of this data to drive efficiency, cost reduction, and supply chain optimization, the logistics industry has been slow to embrace large-scale data sharing practices, resulting in a fragmented data ecosystem (PwC, 2019). Large-scale data sharing in the context of the logistics industry refers to the efficient exchange of information across various stakeholders, including shippers, carriers, freight forwarders, and other logistics service providers. By enabling access to a vast pool of data, logistics service providers can gain a more comprehensive understanding of the overall supply chain, leading to numerous benefits for the industry. Multi-sided data marketplaces (MSDM) are a promising concept that can play an important role in addressing this lack of data sharing on a large scale among businesses for any domain (Koutroumpis et al. (2020b)). They take the role of the neutral middleman by providing a platform to facilitate the data transactions, the ability to search for data sets and provide complementary services. Despite their perceived benefits, however, many initiatives remain in early stages (Spiekermann, 2019) and little research is published that demonstrates the usability of the concept for the logistics industry. As no open data sharing platform currently exists for the logistics industry (Bastiaansen et al., 2020), conceptualizing a multi-sided data marketplace architecture which meets the domain-specific multi-stakeholder context may contribute with novel insights...Management of Technology (MoT
Design capability in a software SME: Report from an embedded design innovation catalyst
Recent studies on the added value that design provides to firms has led to widespread interest amongst the business community to develop design. However, knowledge of how organizations of varying industry types actually make use of design to generate competitive advantages remains limited. This study investigates a small- to medium-sized enterprise (SME) software firm that had recently taken steps to develop design capability1. The Dutch firm, titled CM, identified a need to increase design capability as a source of added competitiveness. During a six-month period, a design innovation catalyst (DIC) was embedded in the firm to build and integrate design capability across the firm. During the study’s duration, the catalyst found the barriers to design capability to be a prevailing data-driven approach to value creation, reliance on self-referential knowledge rather than hypothesis testing with customers and users and a general low urgency to embrace design. The manner in which CM now leverages design as a value creation mechanism is shaped by addressing the opposing barriers to change that were encountered within the firm. This paper contributes practical knowledge on how design can be built quickly over six months and become a vehicle for a software firm to move from data-driven to user-centred solutions. Marketing and Consumer Researc
