64 research outputs found

    Participation of people in waste source separation program

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    One of the basic problems of current cities is solid waste and its correct management. Solid waste material is the unavoidable product of routine life of human being. These wastes affect the quality and quantity of life in the present era. Increased population, development, human activities and shortage of resources have caused the solid waste management a necessity. Waste reduction management and its separation at source are performed with the citizens’ participation. The present study aimed to evaluate the waste source separation and determine the participation of citizens in Azimie of Karaj city in Alborz province, Iran.This study is questionnaire based and to achieve the study purpose, question-based questionnaires are distributed randomly among 100 citizens of Azimieh. The data were analyzed. Based on the results of study, in separation at source activity, 70% of people participated and the highest participation was via media and teachers. 100% of subjects were inclined to participate in this program. The effect of this plan was 90% and effectiveness of this plan from economic, social and environmental aspects was high.Keywords: Waste, Separation at source, People participation, Azimi

    Deep Shape Matching

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    We cast shape matching as metric learning with convolutional networks. We break the end-to-end process of image representation into two parts. Firstly, well established efficient methods are chosen to turn the images into edge maps. Secondly, the network is trained with edge maps of landmark images, which are automatically obtained by a structure-from-motion pipeline. The learned representation is evaluated on a range of different tasks, providing improvements on challenging cases of domain generalization, generic sketch-based image retrieval or its fine-grained counterpart. In contrast to other methods that learn a different model per task, object category, or domain, we use the same network throughout all our experiments, achieving state-of-the-art results in multiple benchmarks.Comment: ECCV 201

    Early chronic kidney disease: diagnosis, management and models of care

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    Chronic kidney disease (CKD) is prevalent in many countries, and the costs associated with the care of patients with end-stage renal disease (ESRD) are estimated to exceed US$1 trillion globally. The clinical and economic rationale for the design of timely and appropriate health system responses to limit the progression of CKD to ESRD is clear. Clinical care might improve if early-stage CKD with risk of progression to ESRD is differentiated from early-stage CKD that is unlikely to advance. The diagnostic tests that are currently used for CKD exhibit key limitations; therefore, additional research is required to increase awareness of the risk factors for CKD progression. Systems modelling can be used to evaluate the impact of different care models on CKD outcomes and costs. The US Indian Health Service has demonstrated that an integrated, system-wide approach can produce notable benefits on cardiovascular and renal health outcomes. Economic and clinical improvements might, therefore, be possible if CKD is reconceptualized as a part of primary care. This Review discusses which early CKD interventions are appropriate, the optimum time to provide clinical care, and the most suitable model of care to adopt

    Early chronic kidney disease: diagnosis, management and models of care

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    Consequences of Laparoscopic Cholecystectomy in Qom Golpaegani Hospital During 2005–7

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    Background and ObjectiveNowadays Laparoscopic Cholecystectomy is known as a gold standard method for Cholecystectomy. This study was done to evaluate outcomes of the surgery in the first admitted group of patients in Qom Golpaegani hospital. MethodsAll patients that had been treated by Laparoscopic Cholecystectomy during 2005-7 were included in this retrospective survey. Study population was consisting of 305 cases with age between 15 to 86 years old, %64.9 women and 35/1% men and 80% with symptomatic gallstones. Data were collected using questionnaire and then analyzed using SPSS software. ResultsIn 2007 multiplicity of Laparoscopic Cholecystectomy was the highest. The mean operation time was 45 min and duration of hospitalization was 12-48 hours. %80 of all cases (both men and women) had symptomatic gallstones which had been determined by sonography and others had acalculous Cholecystitis. The most common complication during operation was bradychardia as a result of gas flow into the abdomen. There was no case of death. ConclusionOur results showed that Laparoscopic Cholecystectomy is a standard method of Cholecystectomy and have a desirable outcome. Keywords: Cholecystectomy, Laparoscopic; Laparoscopy; Cholecystectom

    Towards a dual processing perspective of software architecture decision making

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    \u3cp\u3eSoftware architecture research tends to assume or aim for rational approaches to software architecture decision making. Such approaches attempt to search the entire problem space, and to make optimal decisions based on enduring goals. The assumption here is that rational approaches are unilaterally desirable, and that intuitive approaches relying on experience and 'gut feeling' always lead to reasoning errors. However, newer research is showing us that this assumption is misguided. Evidence from fields such as cognitive psychology, general management, and new product development has shown that using intuition during certain stages of the design process leads to more creative ideas, and may result in better and faster decision making during design activities. Therefore, by disparaging or ignoring intuition in software design, we are potentially missing out on an opportunity to improve software architecture decision making, by using intuition in contexts where it is appropriate and useful. Thus, this paper outlines the case for investigating the combination of intuition with rationality in software architecture decision making.\u3c/p\u3
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