8,741 research outputs found

    The capabilities approach: fostering contexts for enhancing mental health and wellbeing across the globe

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    Concerted efforts have been made in recent years to achieve equity and equality in mental health for all people across the globe. This has led to the emergence of Global Mental Health as an area of study and practice. The momentum that this has created has contributed to the development, implementation and evaluation of services for priority mental disorders in many low- and middle-income countries. This paper discusses two related issues that may be serving to limit the success of mental health initiatives across the globe, and proposes potential solutions to these issues. First, there has been a lack of sophistication in determining what constitutes a ‘good outcome’ for people experiencing mental health difficulties. Even though health is defined and understood as a state of ‘wellbeing’ and not merely an absence of illness, mental health interventions tend to narrowly focus on reducing symptoms of mental illness. The need to also focus more broadly on enhancing subjective wellbeing is highlighted. The second limitation relates to the lack of an overarching theoretical framework guiding efforts to reduce inequalities and inequities in mental health across the globe. This paper discusses the potential impact that the Capabilities Approach (CA) could have for addressing both of these issues. As a framework for human development, the CA places emphasis on promoting wellbeing through enabling people to realise their capabilities and engage in behaviours that they subjectively value. The utilization of the CA to guide the development and implementation of mental health interventions can help Global Mental Health initiatives to identify sources of social inequality and structural violence that may impede freedom and individuals’ opportunities to realise their capabilities

    Parallel asynchronous systems and image processing algorithms

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    A new hardware approach to implementation of image processing algorithms is described. The approach is based on silicon devices which would permit an independent analog processing channel to be dedicated to evey pixel. A laminar architecture consisting of a stack of planar arrays of the device would form a two-dimensional array processor with a 2-D array of inputs located directly behind a focal plane detector array. A 2-D image data stream would propagate in neuronlike asynchronous pulse coded form through the laminar processor. Such systems would integrate image acquisition and image processing. Acquisition and processing would be performed concurrently as in natural vision systems. The research is aimed at implementation of algorithms, such as the intensity dependent summation algorithm and pyramid processing structures, which are motivated by the operation of natural vision systems. Implementation of natural vision algorithms would benefit from the use of neuronlike information coding and the laminar, 2-D parallel, vision system type architecture. Besides providing a neural network framework for implementation of natural vision algorithms, a 2-D parallel approach could eliminate the serial bottleneck of conventional processing systems. Conversion to serial format would occur only after raw intensity data has been substantially processed. An interesting challenge arises from the fact that the mathematical formulation of natural vision algorithms does not specify the means of implementation, so that hardware implementation poses intriguing questions involving vision science

    Parallel asynchronous hardware implementation of image processing algorithms

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    Research is being carried out on hardware for a new approach to focal plane processing. The hardware involves silicon injection mode devices. These devices provide a natural basis for parallel asynchronous focal plane image preprocessing. The simplicity and novel properties of the devices would permit an independent analog processing channel to be dedicated to every pixel. A laminar architecture built from arrays of the devices would form a two-dimensional (2-D) array processor with a 2-D array of inputs located directly behind a focal plane detector array. A 2-D image data stream would propagate in neuron-like asynchronous pulse-coded form through the laminar processor. No multiplexing, digitization, or serial processing would occur in the preprocessing state. High performance is expected, based on pulse coding of input currents down to one picoampere with noise referred to input of about 10 femtoamperes. Linear pulse coding has been observed for input currents ranging up to seven orders of magnitude. Low power requirements suggest utility in space and in conjunction with very large arrays. Very low dark current and multispectral capability are possible because of hardware compatibility with the cryogenic environment of high performance detector arrays. The aforementioned hardware development effort is aimed at systems which would integrate image acquisition and image processing

    PCN37 BURDEN OF INPATIENT CASES OF ACUTE EXACERBATIONS OF COPD WITH LUNG CANCER IN THE UNITED STATES IN 2006

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    Optimal design of an aeroelastic wing structure with seamless control surfaces

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    This article presents an investigation into the concept and optimal design of a lightweight seamless aeroelastic wing (SAW) structure for small air vehicles. Attention has been first focused on the design of a hingeless flexible trailing edge (TE) control surface. Two innovative design features have been created in the SAW TE section: an open sliding TE and a curved beam and disc actuation mechanism. This type of actuated TE section allows for the SAW having a camber change in a desirable shape and minimum control power demand. This design concept has been simulated numerically and demonstrated by a test model. For a small air vehicle of large sweep back wing, it is noted that significant structural weight saving can be achieved. However, further weight saving is mainly restricted by the aeroelastic stability and minimum number of carbon/epoxy plies in a symmetric layup rather than the structural strength. Therefore, subsequent effort was made to optimize the primary wing box structure. The results show that an initial structural weight can be reduced significantly under the strength criterion. The resulting reduction of the wing box stiffness and aeroelastic stability and control effectiveness can be improved by applying the aeroelastic tailoring. Because of the large swept angle and resulting lightweight and highly flexible SAW, geometrical non-linearity and large bending-torsion aeroelastic coupling have been considered in the analysis

    Well-Being of Occupants of Low-Income Housing Projects in Colombo

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    The purpose of this study is to assess the well-being in terms of economic, social, and environmental aspects of the displaced community from low-income housing projects in Colombo, Sri Lanka. For this purpose, the primary data was collected by interviewing 25 resettled households who were living in low-income housing projects and observing them. The secondary data was collected via articles, books, newspapers, gazette notifications, etc., to data utilization and further validation of the study findings. Using the thematic analysis method, the study findings were ascertained. The key findings of the study revealed that the relocation of people from informal settlements to new homes could be seen as a testament to the positive and negative effects of the financial, social, and environmental changes that have taken place in their lives. This study is important to identify the basic problems of the new housing families in the city of Colombo and to be able to provide the information needed to make resettlement housing plans and infrastructure to minimize those problems in future housing projects. © 2022 The Authors. Published by Department of Estate Management and Valuation, University of Sri Jayewardenepura. Keywords: Urban poverty, Low- income housing, unauthorized houses, wellbeing, Sri Lank

    Diffusivity and Weak Clustering in a Quasi 2D Granular Gas

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    We present results from a detailed simulation of a quasi-2D dissipative granular gas, kept in a non-condensed steady state via vertical shaking over a rough substrate. This gas shows a weak power-law decay in the tails of its Pair Distribution Functions (PDF's), indicating fractality and therefore a tendency to form clusters over several size scales. This clustering depends monotonically on the dissipation coefficient, and disappears when the sphere-sphere collisions are conservative. Clustering is also sensitive to the packing fraction. This gas also displays the standard nonequilibrium characteristics of similar systems, including non-Maxwellian velocity distributions. The diffusion coefficients are calculated over all the conditions of the simulations, and it is found that diluted gases are more diffusive for smaller restitution coefficients.Comment: 14 pages, 11 figure
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