Full text met HU account Although people all over the world learn sign languages as a second language (SL2), there is scant literature on sign language acquisition processes to guide professionals in the field. This study focuses on one of the modality-specific phenomena that SL2 learners with a spoken language background encounter that do not exist in their native language (L1): the use of space for grammatical reasons. We analyzed the sign language production data of two learners of Sign Language of the Netherlands (NGT) who we followed for four years. Data comprise interviews that were coded for use of space. Use of space was operationalized by measuring the number of occasions of pointing signs, agreement verbs, classifier verbs, and spatially modified signs from the nominal domain. In addition, we identified examples of typical L2 signing (e.g. errors of overgeneralization, omissions, et cetera). Data show that learners initially produce modified signs that have a gestural counterpart. It might be that they "borrow" signs from the gestural domain, or they produce these highly iconic structures because their gestural inventory has helped them to acquire these structures. Furthermore, the data show that particularly classifier verbs and agreement verbs within a constructed action sequence pose challenges for the learners, and we observed some general error patterns that have been found in L1-learners, such as stacking and reversing the movement path of agreement verbs
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Introduction: Nursing education traditionally teaches skill acquisition in isolated practice drills and guided by step-by-step protocols. While these approaches may seem to provide a solid foundation, they do not adequately bridge the gap between a controlled learning environment and the reality of nursing practice. The constraints-led approach (CLA) is an applied theory, which explains that skill acquisition is a process of adjusting to the characteristics of a situation, instead of reproducing isolated, “ideal” movements out of context. Given that CLA has gained recognition as an effective learning method in various fields, it is worth investigating how CLA can be implemented for skill acquisition in nursing education. Methods: To gain insight into student experiences of several CLA-exercises, an explorative qualitative design was used. Ten longitudinal focus groups with nursing students (n = 11) were performed to gain deeper understanding of students’ experiences with an education course in which several “CLA-exercises” were integrated. In addition, the teachers (n = 3) involved were interviewed after the course was completed. Results: The students experienced the education course as enjoyable, challenging and reality-based. Also, the exercises motivated students to keep practicing. The students further appreciated the room for autonomy and self-organization. The teachers expressed enthusiasm for CLA-inspired education, noting the benefits of varied methods and the need for expert feedback and well-working practice materials. Conclusion: Both students and teachers felt confident that the students who completed this course were ready to apply the learned skills under supervision in clinical practice.
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Abstract Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
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The integration of renewable energy resources, controllable devices and energy storage into electricity distribution grids requires Decentralized Energy Management to ensure a stable distribution process. This demands the full integration of information and communication technology into the control of distribution grids. Supervisory Control and Data Acquisition (SCADA) is used to communicate measurements and commands between individual components and the control server. In the future this control is especially needed at medium voltage and probably also at the low voltage. This leads to an increased connectivity and thereby makes the system more vulnerable to cyber-attacks. According to the research agenda NCSRA III, the energy domain is becoming a prime target for cyber-attacks, e.g., abusing control protocol vulnerabilities. Detection of such attacks in SCADA networks is challenging when only relying on existing network Intrusion Detection Systems (IDSs). Although these systems were designed specifically for SCADA, they do not necessarily detect malicious control commands sent in legitimate format. However, analyzing each command in the context of the physical system has the potential to reveal certain inconsistencies. We propose to use dedicated intrusion detection mechanisms, which are fundamentally different from existing techniques used in the Internet. Up to now distribution grids are monitored and controlled centrally, whereby measurements are taken at field stations and send to the control room, which then issues commands back to actuators. In future smart grids, communication with and remote control of field stations is required. Attackers, who gain access to the corresponding communication links to substations can intercept and even exchange commands, which would not be detected by central security mechanisms. We argue that centralized SCADA systems should be enhanced by a distributed intrusion-detection approach to meet the new security challenges. Recently, as a first step a process-aware monitoring approach has been proposed as an additional layer that can be applied directly at Remote Terminal Units (RTUs). However, this allows purely local consistency checks. Instead, we propose a distributed and integrated approach for process-aware monitoring, which includes knowledge about the grid topology and measurements from neighboring RTUs to detect malicious incoming commands. The proposed approach requires a near real-time model of the relevant physical process, direct and secure communication between adjacent RTUs, and synchronized sensor measurements in trustable real-time, labeled with accurate global time-stamps. We investigate, to which extend the grid topology can be integrated into the IDS, while maintaining near real-time performance. Based on topology information and efficient solving of power flow equation we aim to detect e.g. non-consistent voltage drops or the occurrence of over/under-voltage and -current. By this, centrally requested switching commands and transformer tap change commands can be checked on consistency and safety based on the current state of the physical system. The developed concepts are not only relevant to increase the security of the distribution grids but are also crucial to deal with future developments like e.g. the safe integration of microgrids in the distribution networks or the operation of decentralized heat or biogas networks.
The Netherlands is facinggreat challenges to achieve (inter)national climate mitigation objectives inlimited time, budget and space. Drastic innovative measures such as floatingsolar parks are high on political agendas and are entering our water systems.The clear advantages of floating solar (multifunctional use of space) led to afast deployment of renewable energy sources without extensive research toadequately evaluate the impacts on our environment. Acquisition ofresearch data with holistic monitoring methods are urgently needed in order toprevent disinvestments.In this project 10 SMEs with different expertiseand technologies are joining efforts with researchers and four public parties(and 12 indirectly involved) to answer the research question “Which monitoringtechnologies and intelligent data interpretation techniques are requiredto be able to conduct comprehensive, efficient and cost effective monitoring ofthe impacts of floating solar panels in their surroundings?"The outputs after a two-yearproject will play a significant and indispensable role in making Green EnergyResources Greener. Specific output includes a detailed inventory of existingprojects, monitoring method for collection/analysis of datasets(parameters/footage on climate, water quality, ecology) on the effects offloating solar panels on the environment using heterogeneous unmanned robots,workshops with public & private partners and stakeholders,scientific and technical papers and update of national guidelines for optimizingthe relationship between solar panels and the surrounding environment. Projectresults have a global interest and the consortium partners aim at upscaling forthe international market. This project will enrich the involved partners withtheir practical knowledge, and SMEs will be equipped with the new technologiesto be at the forefront and benefit from the increasing floating solar marketopportunities. This project will also make a significant contribution tovarious educational curricula in universities of applied sciences.The Netherlands is facinggreat challenges to achieve (inter)national climate mitigation objectives inlimited time, budget and space. Drastic innovative measures such as floatingsolar parks are high on political agendas and are entering our water systems.The clear advantages of floating solar (multifunctional use of space) led to afast deployment of renewable energy sources without extensive research toadequately evaluate the impacts on our environment. Acquisition ofresearch data with holistic monitoring methods are urgently needed in order toprevent disinvestments.In this project 10 SMEs with different expertiseand technologies are joining efforts with researchers and four public parties(and 12 indirectly involved) to answer the research question “Which monitoringtechnologies and intelligent data interpretation techniques are requiredto be able to conduct comprehensive, efficient and cost effective monitoring ofthe impacts of floating solar panels in their surroundings?"The outputs after a two-yearproject will play a significant and indispensable role in making Green EnergyResources Greener. Specific output includes a detailed inventory of existingprojects, monitoring method for collection/analysis of datasets(parameters/footage on climate, water quality, ecology) on the effects offloating solar panels on the environment using heterogeneous unmanned robots,workshops with public & private partners and stakeholders,scientific and technical papers and update of national guidelines for optimizingthe relationship between solar panels and the surrounding environment. Projectresults have a global interest and the consortium partners aim at upscaling forthe international market. This project will enrich the involved partners withtheir practical knowledge, and SMEs will be equipped with the new technologiesto be at the forefront and benefit from the increasing floating solar marketopportunities. This project will also make a significant contribution tovarious educational curricula in universities of applied sciences.
The Netherlands is facing great challenges to achieve (inter)national climate mitigation objectives in limited time, budget and space. Drastic innovative measures such as floating solar parks are high on political agendas and are entering our water systems . The clear advantages of floating solar (multifunctional use of space) led to a fast deployment of renewable energy sources without extensive research to adequately evaluate the impacts on our environment. Acquisition of research data with holistic monitoring methods are urgently needed in order to prevent disinvestments. In this proposal ten SMEs with different expertise and technologies are joining efforts with researchers and four public parties (and 12 indirectly involved) to answer the research question “Which monitoring technologies and intelligent data interpretation techniques are required to be able to conduct comprehensive, efficient and cost-effective monitoring of the impacts of floating solar panels in their surroundings?" The outputs after a two-year project will play a significant and indispensable role in making Green Energy Resources Greener. Specific output includes a detailed inventory of existing projects, monitoring method for collection/analysis of datasets (parameters/footage on climate, water quality, ecology) on the effects of floating solar panels on the environment using heterogeneous unmanned robots, workshops with public & private partners and stakeholders, scientific and technical papers and update of national guidelines for optimizing the relationship between solar panels and the surrounding environment. Project results have a global interest and the consortium partners aim at upscaling for the international market. This project will enrich the involved partners with their practical knowledge, and SMEs will be equipped with the new technologies to be at the forefront and benefit from the increasing floating solar market opportunities. This project will also make a significant contribution to various educational curricula in universities of applied sciences.
