This study explored associations between perceived neighborhood walkability and neighborhood-based physical activity (NB-PA) and assessed possible moderation effects of the amount of time spent in the home neighborhood and individual characteristics (i.e., educational level and health-related problems). In 2016 to 2017, 509 Dutch adults, living in the South Limburg area, were included. Context-specific PA levels were measured using the Actigraph GT3X+ accelerometer and the Qstarz BTQ1000XT GPS-logger. Perceived neighborhood walkability, level of education, work status, and health-related quality of life were measured with validated self-report instruments. Results showed that individuals with a lower level of education or health-related problems spent more time in the home neighborhood. The perceived neighborhood walkability only affected NB-PA for individuals spending a relatively large amount of time in their home neighborhood. PA-facilitating features in the home neighborhood, for example, aesthetics, were only associated with more NB-PA for individuals without health-related problems or with a higher level of education.
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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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Introduction In 2016 a new form of integrated community treatment for patients with serious mental illnesses was implemented in two neighborhoods in the city of Utrecht (335000 inhabitants) in the Netherlands. Treatment is characterized by close collaboration of psychiatric care, somatic care (i.e. general practitioner, nurse practitioner), supported housing and other facilities, i.e. the police officer, and is provided in the direct neighborhood of the patients. This ‘neighborhood based integrated mental health care’ should not contribute solely to clinical recovery, but also specifically to social and personal recovery. Objectives The aim of this research was to investigate the experience of patients with serious mental illnesses themselves receiving this new form of neighborhood-based integrated mental health care. More specific the question is studied if and how neighborhood-based integrated mental health care supports personal and social recovery. Methods To assess the experience of patients in depth qualitative semi-structured interviews were conducted with 20 patients. Patients were asked to participate in interviews directly by the researchers, by their case managers and by experts by experience. Interview topics included personal and social recovery, resilience and self-efficacy related to the collective effort of caregivers. Qualitative data was analyzed by three independent researches with the qualitative computer program Tarzan. Strategies to enhance quality of data analysis (respondent validation) and validity (attention to negative cases) were used. Results The study will be finished in January 2019. Conclusions The results, a brief description of the collaborative care methodology offered and experiences of patients, and conclusions will be presented at the ENMESH conference.
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An increasing amount of cities are trying to increase civic engagement by using digital tools and platforms which gather data in a variety of ways on relevant topics within the city. Tools and platforms that focus on handling easy to fix issues on a local scale such as broken streetlights have been successfully implemented in cities already. In this paper a case study is described which aimed to retrieve data from citizens about a more complex local challenge in a neighborhood in Amsterdam. Furthermore, it has been investigated how the municipality could use the collected data as input for policy making. By making a participatory mapping mobile phone application available in a neighborhood, data was collected about places in the neighborhoods public space in which the citizens took pride and places that needed attention. This data is to be used as input for the area plan of the neighborhood. A first case-study with the application showed that even though there was low participation from the neighborhood, due to the high quality of the added data it was still valuable for the municipality.
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The video was a compilation of the RAAK-publiek research project 'Circular Wood for the Neighborhood', carried out by the Digital Production Research Group with partners in 2020-2022.
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Citizen science has demonstrated potential to foster local changes in public health, including physical (in)activity. We used community-engaged citizen science to explore how to improve the exercise-friendliness of a Dutch neighborhood, chosen because it scored below average on important health parameters.We followed the steps of design thinking and employed the Our Voice citizen science method to find out how community members perceived exercise-friendliness in their neighborhood. Members participated in technology-enabled “discovery” walks using the multi-lingual Stanford Neighborhood Discovery Tool mobile application. Positive, negative, and dual features in the neighborhood were captured. During a researcher-facilitated process, citizen scientists analyzed their data together, leading to overarching themes reflecting resident needs and desires. These themes served as the basis for developing a walking route throughout the neighborhood. Several initial walking route prototypes were developed and tested by citizen scientists, resulting in a final route design that was realized in collaboration with local government officials. Citizen scientists were interviewed and asked about their engagement with and sense of agency throughout the research process. They reported commitment to the project and their neighborhood, and a desire to contribute to society. They also reported increased agency in contributing to neighborhood impacts.This project showed that citizen science “by the people” is a powerful way to engage people with projects in their own neighborhoods. It provided local perspectives on the neighborhood, which led to actual changes in the environment
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The exhibition presented the outcomes of the project 'Circular Wood for the Neighborhood', which was carried out by the Digital Production Research Group in 2020-2022. The exhibition consisted of ten panels with mixed media, objects and video's. The exhibition was displayed at the offices of the project partners Rochdale and Ymere, at the Municipality of Amsterdam and at the Jacoba Mulderhuis, home of AUAS Faculty of Technology
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Social media have become important platforms for residents to engage with their neighborhood. This paper investigates two Facebook communities that focus in distinctly different ways on Amsterdam-Noord, a gentrifying neighborhood in Amsterdam. Dialogue on both Facebook communities is found to be thoroughly affective, but the kinds of emotions and the way such emotions are generated and shared differ. Through this analysis, this paper seeks to understand how “affective publics” emerge through a specific form of collaborative storytelling, characterized by tone, form as well as rhythm of online interaction. We show how the channeling of affective expression and attunement helps to build two dissimilar collaborative discourses of the neighborhood transformation. We propose the term online affective placemaking to study and articulate such processes. The term points to mediated feelings and urgency to engage, which bonds participants and impacts the social and political landscape within the neighborhood.
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One neighborhood in Groningen, the Netherlands, is a neighborhood housing about 12,000 citizens with on average a low-SES background, showing a less healthy and active lifestyle. In the past, initiatives have been undertaken to promote active lifestyle by implementing outdoor facilities stimulating physical activity. However, use of facilities was poor due to lack of citizen involvement. Aim of this project was to engage citizens in the overall process of capturing, plan making and prototyping of concepts for an exercise-friendly physical and social environment.From January 2020 - May 2022 a Living Lab was run following the ‘Our Voice’ citizen science method. Participatory citizen science was applied in which a community of stakeholders (public/private parties) and citizens was built. The community addressed the problem by creating more insight in promoting/degrading features in the neighborhood concerning an active lifestyle. Citizens (n = 40) used the Stanford Neighborhood Discovery Tool, which allowed for systematic observations of the physical environment. Additionally, emergent research walks gave extra information on neighborhood barriers/facilitators next to Discovery Tool data. Collected data allowed citizens to brainstorm on possible solutions in sessions facilitated by the researchers. Solutions were presented to local government and further developed for implementation and realization.Use of the Discovery Tool created an overview of the neighborhood. Based on positive/negative features, new ideas were generated for improving exercise-friendliness. One example was a walking route along art objects in the neighborhood. Furthermore, a citizens work group was formed which discussed this route, and other ideas and prototypes, with local government. This group was also involved in realization of prototypes.Our project resulted in a citizen science approach which can be transferred to other neighborhoods. Use of Discovery Tool showed many benefits for neighborhood plan making. Early and continuous involvement of citizens will lead to more sustainable engagement and is a powerful method to create engagement around societal problems and social innovation in the field of Health Enhancing Physical Activity.A transferable method for neighborhood development based on citizen science was developed. Key feature in our method was integration of design thinking, citizen engagement, and use of digital tools.
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More and more network interventions are developing at neighborhood level, with the aim of strengthening the network (in the neighborhood) of people with a disability. Some interventions are of a temporary nature, while others are structurally In this study, the various neighborhood-oriented network interventions are examined to discover what works well. With this information, more general guidelines can be set up for current and future social professionals on how to work on neighborhood networks for people with disabilities in an effective way. In this research project, various research methods, including social professionals, management, participants of the network interventions, neighbors, are involved to determine meaningful actions within each intervention. For the interviews with participants, we work together with experienced experts (People with disabilities, and participants of the interventions). These were trained by one of our research partners, to help both with the development of the research tools as well as conducting the interviews. In this presentation we want to exchange our experiences in cooperating with experienced experts on research.
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