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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Background: Information is scarce concerning the perceived needs and the amount of health-care utilization of persons with suicidal ideation (SI) compared to those without SI. Aims: To describe the needs and health care use of persons with and without SI and to investigate whether these differences are associated with the severity of the axis-I symptomatology. Method: Data were obtained from 1,699 respondents with a depressive and/or anxiety disorder who participated in the Netherlands Study of Depression and Anxiety. Persons with and without SI were distinguished. Outcome variables were perceived needs and health-care utilization. We used multivariate regression in two models: (1) adjusted only for sociodemographic variables and (2) adjusted additionally for severity of axis-I symptomatology. Results: Persons with SI had higher odds for both unmet and met needs in almost all domains and made more intensive use of mental-health care. Differences in needs and health-care utilization of persons with and without SI were strongly associated with severity of axis I symptomatology. Conclusions: Our results validate previous findings about perceived needs and health-care use of persons with SI. The results also suggest that suicidal persons are more seriously ill, and that they need more professional care, dedication, and specialized expertise than anxious and depressed persons without SI, especially in the domains of information and referral.
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This paper assesses wind resource characteristics and energy yield for micro wind turbines integrated on noise barriers. An experimental set-up with sonic anemometers placed on top of the barrier in reference positions is realized. The effect on wind speed magnitude, inflow angle and turbulence intensity is analysed. The annual energy yield of a micro wind turbine is estimated and compared using data from a micro-wind turbine wind tunnel experiment and field data. Electrical energy costs are discussed as well as structural integration cost reduction and the potential energy yield could decrease costs. It was found that instantaneous wind direction towards the barrier and the height of observation play an influential role for the results. Wind speed increases in perpendicular flows while decreases in parallel flow, by +35% down to −20% from the reference. The azimuth of the noise barrier expressed in wind field rotation angles was found to be influential resulted in 50%–130% changes with respect to annual energy yield. A micro wind turbine (0.375 kW) would produce between 100 and 600 kWh annually. Finally, cost analysis with cost reductions due to integration and the energy yield changes due to the barrier, show a LCOE reduction at 60%–90% of the reference value. https://doi.org/10.1016/j.jweia.2020.104206
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Climate change calls for an energy transition utilizing all available renewable energy resources, such as bioenergy from biomass. However, the use of biomass is debated in society, and public acceptance is low or lacking. This survey-based research demonstrates for the first time that public acceptance of bioenergy hinges on (a) the type of biomass feedstock used to generate bioenergy and (b) the perceptions of the effectiveness of bioenergy in contributing to the energy transition. A survey-embedded vignette experiment (with 409 Dutch participants) shows that public acceptance of the biomass feedstocks 'wood' and 'energy crops' is significantly lower than the acceptance of 'organic waste' and 'manure' for bioenergy. These results indicate that the biomass feedstock type should be more carefully considered and specified in future research and communication on public acceptance of bioenergy. Thematic coding and bootstrapped mediation analyses identified the perceived effectivity of bioenergy in contributing to the energy transition as a prime explanatory (i.e., mediating) variable for acceptance. A subsequent message-framing communication experiment (with 414 Dutch participants) demonstrates that emphasizing biomass feedstock as a form of waste utilization is a frame that helps to increase public acceptance of bioenergy. The waste utilization frame notably improves the perceptions of the effectiveness of bioenergy as contributing to the energy transition for the two lesser accepted biomass feedstocks. The emphasis on biomass feedstock type as a form of waste treatment can improve strategic communications on bioenergy and foster wider public acceptance of bioenergy in the transition toward a more sustainable energy system.
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Background: Knee and hip osteoarthritis (OA) among older adults account for substantial disability and extensive healthcare use. Effective pain coping strategies help to deal with OA. This study aims to determine the long-term relationship between pain coping style and the course of healthcare use in patients with knee and/or hip OA over 10 years. Methods: Baseline and 10-year follow-up data of 861 Dutch participants with early knee and/or hip OA from the Cohort Hip and Cohort Knee (CHECK) cohort were used. The amount of healthcare use (HCU) and pain coping style were measured. Generalized Estimating Equations were used, adjusted for relevant confounders. Results: At baseline, 86.5% of the patients had an active pain coping style. Having an active pain coping style was significantly (p = 0.022) associated with an increase of 16.5% (95% CI, 2.0–32.7) in the number of used healthcare services over 10 years. Conclusion: Patients with early knee and/or hip OA with an active pain coping style use significantly more different healthcare services over 10 years, as opposed to those with a passive pain coping style. Further research should focus on altered treatment (e.g., focus on self-management) in patients with an active coping style, to reduce HCU.
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Global society is confronted with various challenges: climate change should be mitigated, and society should adapt to the impacts of climate change, resources will become scarcer and hence resources should be used more efficiently and recovered after use, the growing world population and its growing wealth create unprecedented emissions of pollutants, threatening public health, wildlife and biodiversity. This paper provides an overview of the challenges and risks for sewage systems, next to some opportunities and chances that these developments pose. Some of the challenges are emerging from climate change and resource scarcity, others come from the challenges emerging from stricter regulation of emissions. It also presents risks and threats from within the system, next to external influences which may affect the surroundings of the sewage systems. It finally reflects on barriers to respond to these challenges. http://dx.doi.org/10.13044/j.sdewes.d6.0231 LinkedIn: https://www.linkedin.com/in/sabineeijlander/ https://www.linkedin.com/in/karel-mulder-163aa96/
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This study evaluates the effectiveness of the European Union's Corporate Sustainability Reporting Directive (CSRD) in quantitatively measuring the transition of companies to a circular economy. First, using the most recent literature review on circularity metrics, a complete overview of the currently available circularity metrics is developed. Subsequently, it is determined which circularity metrics can be generated with the available quantitative datapoints of CSRD. The metrics that can be generated were analyzed on their ability to cover all circular strategies, to represent different Product-as-a-Service systems and to acknowledge the key role of Critical Raw Materials in a circular economy. The study finds that, with data disclosed under CSRD, metrics can be generated to cover all circular strategies. However, gaps remain in representing pay-per-use and pay-perperformance systems and the use of Critical Raw Materials. Recommendations are to include ‘Product utilization’ and ‘Mass of Critical Raw Materials used’ in the data disclosed under CSRD and to have an independent institution report data to enable benchmarking of performances. Finally, this study concludes with an overview of the metrics which enable to measure circular transitions using data disclosed by CSRD
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Communities of Practice (CoPs) are social learning systems that can be, to a certain extent, designed. Wenger (1998) proposes the following paradox; “ no community can fully design the learning of another, but at the same time, no community can fully design its own learning” (p:234). My interpretation of Wenger’s statement is that learning environments such as CoPs need to be facilitated in their learning processes, but not their specific design. Approaching CoPs this way allows for the design of interventions that facilitate learning processes within a CoP rather than regulate them. However, empirical studies on facilitating internal processes of CoPs are sparse – most work is anecdotal. This means that one needs to look to other fields for guidance in order to discover how to facilitate CoPs in their learning. This paper describes part of a larger research project that asks the question whether communities of practice can be instituted in higher professional educational organizations as an effective method to facilitate participant learning (professional development) and stimulate new knowledge creation in the service of the organization. Using a more pragmatic approach to cultivating CoPs (Ropes, 2007) opens the possibility to use different theoretical perspectives in order to find and ground interventions that can facilitate learning in CoPs and which are typically used in organizational development trajectories based on learning (de Caluwe & Vermaak, 2002). In this paper I look at how theories of human resource development, workplace learning and social constructivism conceptualize learning and what type of environments promote this. I then map out community of practice theory along these fields in order to come to a synthesized conceptual framework, which I will use to help understand what specific interventions can be used for designing CoPs. Finally I propose several interventions based on the work done here. The main question I consider here can be formulated as follows; ‘what insight can Human Resource Development theories, Workplace Learning theories and Social Constructivist learning theory give in order to design interventions that facilitate internal processes of communities of practice?’
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Analyzing historical decision-related data can help support actual operational decision-making processes. Decision mining can be employed for such analysis. This paper proposes the Decision Discovery Framework (DDF) designed to develop, adapt, or select a decision discovery algorithm by outlining specific guidelines for input data usage, classifier handling, and decision model representation. This framework incorporates the use of Decision Model and Notation (DMN) for enhanced comprehensibility and normalization to simplify decision tables. The framework’s efficacy was tested by adapting the C4.5 algorithm to the DM45 algorithm. The proposed adaptations include (1) the utilization of a decision log, (2) ensure an unpruned decision tree, (3) the generation DMN, and (4) normalize decision table. Future research can focus on supporting on practitioners in modeling decisions, ensuring their decision-making is compliant, and suggesting improvements to the modeled decisions. Another future research direction is to explore the ability to process unstructured data as input for the discovery of decisions.
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With the increasing global population, urbanization, the current unsustainable and expansive agricultural practices would be expected to further elevate the risk of food and nutritional insecurity of the global population, which is recognized as a global threat for the 21st century. This paper reviews the demographic changes, urbanization, sustainability of the conventional agricultural systems, the environmental and resource implications and presents possible sustainable alternatives.
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