The pervasive use of media at current-day festivals thoroughly impacts how these live events are experienced, anticipated, and remembered. This empirical study examined event-goers’ live media practices – taking photos, making videos, and in-the-moment sharing of content on social media platforms – at three large cultural events in the Netherlands. Taking a practice approach (Ahva 2017; Couldry 2004), the author studied online and offline event environments through extensive ethnographic fieldwork: online and offline observations, and interviews with 379 eventgoers. Analysis of this research material shows that through their live media practices eventgoers are continuously involved in mediated memory work (Lohmeier and Pentzold 2014; Van Dijck 2007), a form of live storytelling thatrevolves around how they want to remember the event. The article focuses on the impact of mediated memory work on the live experience in the present. It distinguishes two types of mediatised experience of live events: live as future memory and the experiential live. The author argues that memory is increasingly incorporated into the live experience in the present, so much so that, for many eventgoers, mediated memory-making is crucial to having a full live event experience. The article shows how empirical research in media studies can shed new light on key questions within memory studies.
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The research in this dissertation explores the social significance of local memory websites. Local memory websites offer local residents a platform where they collect and share memories about particular places or experiences in their neighbourhoods and districts. Following a systematic review and a broad field study, a narrative approach is developed to study collective levels of empowerment within the ‘Memory of East’ and the ‘Memory of West’, both in Amsterdam. Two empirical questions steer a double case study: 1) ‘How does the organizational development influence the online dynamics?’ and 2) ‘What collective empowerment do the online dynamics express?’ With its stronger social capital, the Memory of East is more likely to resist official memory intuitions, commercial popular culture and local politics than the Memory of West. On the other hand, with its more inclusive character, the Memory of West is more representative for the broad cultural backgrounds of its inhabitants than the Memory of East. These findings are shown to be related to five organizational continuums on which both websites are plotted to indicate their crucial organizational differences. Apart from a claim about the theoretical value of this model, it is illustrated how it functions as a discursive tool for the core groups behind both websites.
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This book brings together contributions that analyse how subcultural myths develop and how they can be studied. Through critical engagement with (history) writing and other sources on subcultures by contemporaries, veterans, popular media and researchers, it aims to establish: how stories and histories of subcultures emerge and become canonized through the process of mythification; which developments and actors are crucial in this process; and finally how researchers like historians, sociologists, and anthropologists should deal with these myths and myth-making processes. By considering these issues and questions in relation to mythmaking, this book provides new insights on how to research the identity, history, and cultural memory of youth subcultures.
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The main objective of this study was to influence implicit learning through two different classical manipulations and to inspect whether working memory capacity (WMC) and personality were related to the different measures of learning. With that purpose, in Experiment 1 we asked 172 undergraduate students of psychology to perform a serial reaction time (SRT) task under single- or dual-task conditions and to complete a WMC task and a personality test. In Experiment 2, 164 students performed the SRT task under incidental or intentional conditions and also filled a WMC task and a personality test. In both experiments, WMC influenced learning, but this relation was found only when attention was not loaded (Experiment 1) or when intentional instructions were given (Experiment 2). The pattern of relations with personality, although more varied, also showed a commonality between both experiments: learning under the most implicit conditions correlated positively with extraversion.
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Neighborhood image processing operations on Field Programmable Gate Array (FPGA) are considered as memory intensive operations. A large memory bandwidth is required to transfer the required pixel data from external memory to the processing unit. On-chip image buffers are employed to reduce this data transfer rate. Conventional image buffers, implemented either by using FPGA logic resources or embedded memories are resource inefficient. They exhaust the limited FPGA resources quickly. Consequently, hardware implementation of neighborhood operations becomes expensive, and integrating them in resource constrained devices becomes unfeasible. This paper presents a resource efficient FPGA based on-chip buffer architecture. The proposed architecture utilizes full capacity of a single Xilinx BlockRAM (BRAM36 primitive) for storing multiple rows of input image. To get multiple pixels/clock in a user defined scan order, an efficient duty-cycle based memory accessing technique is coupled with a customized addressing circuitry. This accessing technique exploits switching capabilities of BRAM to read 4 pixels in a single clock cycle without degrading system frequency. The addressing circuitry provides multiple pixels/clock in any user defined scan order to implement a wide range of neighborhood operations. With the saving of 83% BRAM resources, the buffer architecture operates at 278 MHz on Xilinx Artix-7 FPGA with an efficiency of 1.3 clock/pixel. It is thus capable to fulfill real time image processing requirements for HD image resolution (1080 × 1920) @103 fcps.
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Artikel / Interview in de Telegraaf (400.000 exemplaren) met Petra Biemans en Hank Kuit (Vitens), tevens gepubliceerd in NL Carrière dagen (oplage 10.000) en de carrière glossy van Nederland Memory Magazine (50.000). Business Studies bij Inholland. Donald Ropes, lector Learning and Development in Organisations, geeft zijn reactie hierop.
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Animals can alter their foraging behavior through associative learning, where an encounter with an essential resource (e.g., food or a reproductive opportunity) is associated with nearby environmental cues (e.g., volatiles). This can subsequently improve the animal’s foraging efficiency. However, when these associated cues are encountered again, the anticipated resource is not always present. Such an unrewarding experience, also called a memory-extinction experience, can change an animal’s response to the associated cues. Although some studies are available on the mechanisms of this process, they rarely focus on cues and rewards that are relevant in an animal’s natural habitat. In this study, we tested the effect of different types of ecologically relevant memory-extinction experiences on the conditioned plant volatile preferences of the parasitic wasp Cotesia glomerata that uses these cues to locate its caterpillar hosts. These extinction experiences consisted of contact with only host traces (frass and silk), contact with nonhost traces, or oviposition in a nonhost near host traces, on the conditioned plant species. Our results show that the lack of oviposition, after contacting host traces, led to the temporary alteration of the conditioned plant volatile preference in C. glomerata, but this effect was plant species-specific. These results provide novel insights into how ecologically relevant memory-extinction experiences can fine-tune an animal’s foraging behavior. This fine-tuning of learned behavior can be beneficial when the lack of finding a resource accurately predicts current, but not future foraging opportunities. Such continuous reevaluation of obtained information helps animals to prevent maladaptive foraging behavior.
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This paper presents a case study where a model predictive control (MPC) logic is developed for energy flexible operation of a space heating system in an educational building. A Long Short-Term Memory Neural Network (LSTM) surrogate model is trained on the output of an EnergyPlus building simulation model. This LSTM model is used within an MPC framework where a genetic algorithm is used to optimize setpoint sequences. The EnergyPlus model is used to validate the performance of the control logic. The MPC approach leads to a substantial reduction in energy consumption (7%) and energy costs (13%) with improved comfort performance. Additional energy costs savings are possible (7–16%) if a sacrifice in indoor thermal comfort is accepted. The presented method is useful for developing MPC systems in the design stages where measured data is typically not available. Additionally, this study illustrates that LSTM models are promising for MPC for buildings.
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Machine learning models have proven to be reliable methods in classification tasks. However, little research has been conducted on the classification of dwelling characteristics based on smart meter and weather data before. Gaining insights into dwelling characteristics, which comprise of the type of heating system used, the number of inhabitants, and the number of solar panels installed, can be helpful in creating or improving the policies to create new dwellings at nearly zero-energy standard. This paper compares different supervised machine learning algorithms, namely Logistic Regression, Support Vector Machine, K-Nearest Neighbor, and Long-short term memory, and methods used to correctly implement these algorithms. These methods include data pre-processing, model validation, and evaluation. Smart meter data, which was used to train several machine learning algorithms, was provided by Groene Mient. The models that were generated by the algorithms were compared on their performance. The results showed that the Long-short term memory performed the best with 96% accuracy. Cross Validation was used to validate the models, where 80% of the data was used for training purposes and 20% was used for testing purposes. Evaluation metrics were used to produce classification reports, which indicates that the Long-short term memory outperforms the compared models on the evaluation metrics for this specific problem.
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Background: Auditory processing disorder (APD) is a diagnosis that is widely discussed. Children diagnosed with APD have difficulty listening in complex situations, despite a well-functioning peripheral hearing. However, there seems to be no evidence for the validity of a purely auditory deficit. The aim of this study is to examine the differences in performance between children with suspected APD and typically developing children on tests of communication, auditory processing, nonverbal intelligence, working memory, and visual and auditory attention. Methods: In a case-control study we examined 9 children with suspected APD and 21 typically developing children, ages 8;0 to 12;0 years. The parents of all children completed three questionnaires about history, behavioral symptoms of ADHD, and communication skills. The teachers of the children completed the Children’s Auditory Processing Performance Scale (CHAPPS). The children themselves were assessed for auditory processing abilities, nonverbal intelligence, working memory, and auditory and visual attention. Results: No differences were found between groups in age, nonverbal intelligence quotient, and performance on auditory processing tests. Children with suspected APD have significantly poorer communication performance (parent report), poorer listening skills (teacher report), poorer working memory and poorer auditory and visual skills. Conclusion: There is a difference between children with suspected APD and typically developing children. Children with suspected APD perform insufficient on tests of working memory, and have a slower response to auditory and visual attention tasks. Parents of children with suspected APD report difficulties in communication and teachers assess the children of being at risk for listening difficulties.
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