867 resultados para ECONOMICS OF SCALE


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The parameters of the orthographic plan drawing largely compel the observer to view the plan image from a single vantage point and in a single instant. the plan drawing places the viewer at a fixed distance—looking from above—at an abstract flattening of a curved surface area of the earth. Landscape architects, who often deal with expansive scales, appreciate how the view from above enables survey and understanding of space of large (or small) tracts of the landscape. The view enabled by the plan, in this case, of a landscape design, allows inscribing and printing on to 2D flat surfaces (computer screens and paper). This process facilitates the sizing and scaling of elements. Plans allow for measurement without distortion of scale afforded by cartographic and drawing techniques that skew space and perspective. Thus the strength of the plan drawing is enabling construction. Its merit as an imaginative, exploratory medium, however, is less convincing.

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Online international introduction sites that offer romance tours to American men in search of a foreign bride are an important and rapidly growing component of the internet dating industry; the number of these agencies in the U.S. tripled from two hundred to six hundred in the past 10 years. Previous scholars have examined the so-called ‘mail order bride’ industry in order to demonstrate that the women involved are agents and not victims. Many scholars have also highlighted the importance of race in shaping American men’s desires in one particular region or country. My dissertation provides an important addition to the literature surrounding romance tourism by including participants from all three major regions associated with romance tourism: Eastern Europe, South America, and Southeast Asia. I collected the data for the dissertation by becoming a participant observer of a romance tour in Ukraine, Colombia, and the Philippines. I argue that romance tourism is an important example of the global intimate, and the ways in which globalized processes are created and sustained through everyday intimate emotions and interactions. By examining the ways in which the emotions of desire, disgust, and anxiety influence individual romance tour participant’s constructions of racialized hierarchies, the links between individual emotions and global systems are revealed. The concept of the global intimate challenges the hierarchy of scale that places the body, the home, and the intimate on a much lower level than the scale of the global or the national, and at the same time challenges the binary that divides the individual from the global. Through highlighting the different emotional negotiations that are constantly occurring in the romance tour industry, I highlight the important ways in which individual emotions and affects influence global processes on a large scale and vice versa.

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Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social relationships receive much attention where the mathematical and social science communities intersect, models dedicated to terrorist locations such as safe-houses (rather than their targets or training sites) are rare and possibly nonexistent. At the time of this research, there were no publically available models designed to predict locations where violent extremists are likely to reside. This research uses France as a case study to present a complex systems model that incorporates multiple quantitative, qualitative and geospatial variables that differ in terms of scale, weight, and type. Though many of these variables are recognized by specialists in security studies, there remains controversy with respect to their relative importance, degree of interaction, and interdependence. Additionally, some of the variables proposed in this research are not generally recognized as drivers, yet they warrant examination based on their potential role within a complex system. This research tested multiple regression models and determined that geographically-weighted regression analysis produced the most accurate result to accommodate non-stationary coefficient behavior, demonstrating that geographic variables are critical to understanding and predicting the phenomenon of terrorism. This dissertation presents a flexible prototypical model that can be refined and applied to other regions to inform stakeholders such as policy-makers and law enforcement in their efforts to improve national security and enhance quality-of-life.

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We propose a model, based on the work of Brock and Durlauf, which looks at how agents make choices between competing technologies, as a framework for exploring aspects of the economics of the adoption of privacy-enhancing technologies. In order to formulate a model of decision-making among choices of technologies by these agents, we consider the following: context, the setting in which and the purpose for which a given technology is used; requirement, the level of privacy that the technology must provide for an agent to be willing to use the technology in a given context; belief, an agent’s perception of the level of privacy provided by a given technology in a given context; and the relative value of privacy, how much an agent cares about privacy in this context and how willing an agent is to trade off privacy for other attributes. We introduce these concepts into the model, admitting heterogeneity among agents in order to capture variations in requirement, belief, and relative value in the population. We illustrate the model with two examples: the possible effects on the adoption of iOS devices being caused by the recent Apple–FBI case; and the recent revelations about the non-deletion of images on the adoption of Snapchat.

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We present an imaging technique for the 3D-form metrology of optical surfaces. It is based on the optical absorption in fluids situated between the surface and a reference. An improved setup with a bi-chromatic light source is fundamental to obtain reliable topographic maps. It is able to measure any surface finish (rough or polished), form and slope and independently of scale. We present results focused on flat and spherical optical surfaces, arrays of lenses and with different surface finish (rough-polished). We achieve form accuracies from several nanometers to sub-lambda for sag departures from tens to hundred of microns. Therefore, it seems suitable for the quality control in the production of precision aspheric, freeform lenses and other complex shapes on transparent substrates, independently of the surface finish.

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The concept of SG (Smart Grids) encompasses a set of technologies that raise the intelligence of the electrical networks, such as smart meters or instruments of communication, sensing and auto-correction of networks. Nevertheless, the cost is still an important obstacle for the transformation of the current electricity system into a smarter one. Regulation can have an important role in setting up a favorable framework that fosters investments. However, the novelty with SG is the disembodied character of the technology, which may change the incentives of the regulated network companies to invest, affecting the effectiveness of the regulatory instruments (“cost plus” or “price cap”). This paper demonstrates that the solution to this “Smart” paradox requires strong incentive regulation mechanisms able to stimulate the adoption of SG technologies. Moreover, the regulation should not jeopardize conventional investments that are unable to be substituted by SG. Thus, a combination of performance regulation and efficiency obligations may be necessary.

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Demands for mechanisms to pay for adaptation to climate risks have multiplied rapidly as concern has shifted from greenhouse gas mitigation alone to also coping with the now-inevitable impacts. A number of viable approaches to how to pay for those adjustments to roads, drainage systems, lifeline utilities and other basic infrastructure are emerging, though untested at the scale required across the nation, which already has a trillion-dollar deferred maintenance and replacement problem. There are growing efforts to find new ways to harness private financial resources via new market arrangements to meet needs that clearly outstrip public resources alone, as well as to utilize and combine public resources more effectively. To date, mechanisms are often seen through a specific lens of scale, time, and method, for example national versus local and public versus market-based means. The purpose here is to integrate a number of those perspectives and also to highlight the following in particular. Current experience with seemingly more pedestrian needs like stormwater management funding is in fact a learning step towards new approaches for broader adaptation needs, using re-purposed but existing fiscal tools. The resources raised from new large-scale market approaches for using catastrophe- and resiliency-bond-derived funds will have their use embodied and operationalized in many separate local and state projects. The invention and packaging of innovative projects—the pre-development phase—will be pivotal to better using fiscal resources of many types. Those efforts can be greatly aided or hindered by larger national and especially state government policy, regulatory and capital market arrangements. Understanding the path to integration of effort across these scales deserves much more attention. Examples are given of how federal, state and local roles are each dimensions of that frontier, how existing tools can apply in new ways and how smart project creation plays a role.

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The wealth on na economy is traditionally measured by its level of productivity. However, do countries with the highest level of productivity report equal levels of happiness and general well-being? As a matter of fact, there is no direct relationship between both variables and there can actually be, from a productive point of view, less wealthy countries reporting higher levels oh hapiness. hence, there have been recente studies and theriores- such as the Economics of Happiness- that are attempting to demonstrate the term hapiness has made its way into economics literature as the result of the dissatisfaction of economists who believe hapiness should become a matter of study in economics. Onde of the variables aconomists most research about- unemployment- has a direst relationship with happiness, which is why it is particular importante for economics to study it. As many authors have been suggesting, arguing and proving, the autonomy- both methodological and philsophial-, reliability and added value of happiness would contribute fo a more complete economic analysis. Althougth there have beeen many failed attempts to incorporate happiness as a study variable in economics, this new current is expected to succeed, not only due to the rising importance of happiness in people`s daily lives, but also, and mostly, due to the increasing number of authors that are investigating and defending it beingn studied by economics. The fact that this time the "happiness" variable is seen as multidisciplinar and not only assigned to na economic point economics will not come to fail this time around.

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Introducción La ventilación mecánica es fundamental en el manejo de la falla respiratoria aguda, actualmente no existe consenso sobre el momento exacto de extubación. Este estudio describe el comportamiento de la escala OMAHA+ en nuestra institución. Objetivo Principal Describir los desenlaces clínicos relacionados con la escala OMAHA+ durante la extubación de los pacientes de las unidades de cuidado intensivo del hospital universitario. Métodos Estudio descriptivo, retrospectivo, basado en el registro de la escala OMAHA+ de 68 pacientes durante el proceso de extubación en las Unidades de cuidado intensivo adulto de la Fundación Santa Fe de Bogotá durante Agosto de 2014 a Mayo de 2015. Resultados Se encontraron valores gasométricos cercanos a la normalidad, con una PaO2/FiO2 media de 261 (DS 60,6), SaO2 media de 96% (DS 2%), media de lactato sérico de 1.5 mmol/L (DS 1,2 mmol/L), con signos vitales normales. La causa más común de ingreso a UCI fue Neumonía, seguida por cirugía cardiaca y abdominal. Las medias de parámetros ventilatorios al momento de extubación fueron; PEEP de 6 (DS 0,8), volumen corriente de 8ml/Kg (DS 1,4 ml/Kg), índice de Tobín de 34 (DS 11,9), test de fuga positivo 94%, y sólo una extubación fallida. Conclusiones La escala OMAHA+ puede ser una herramienta útil, aplicable y fácilmente reproducible en los pacientes con soporte ventilatorio mecánico invasivo previo al proceso de extubación, con baja proporción de fallo. Estos resultados deben ser evaluados en estudios prospectivos.

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El presente artículo contribuye con la investigación de las Finanzas Corporativas del Comportamiento, rama de las finanzas corporativas que considera que el individuo que toma decisiones financieras no es completamente racional y que por hecho existen sesgos psicológicos que influyen en sus decisiones. Este documento se enfoca, desde el punto de vista conceptual y también mediante el análisis de un estudio de campo, en la influencia de la felicidad en las decisiones de inversión en activos de largo plazo para un grupo de siete gerentes ubicados en la ciudad de Bogotá en el año 2016. En el documento se abarca el concepto general de las finanzas corporativas del comportamiento, se define la felicidad y se presentan sub-variables determinantes para la felicidad del individuo como lo son: salud, balance vida/trabajo, educación y habilidades, conexiones sociales y medio ambiente. Finalmente se presenta cómo éstas afectan a los gerentes financieros en sus decisiones de acuerdo a la investigación realizada.

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Catheter-related bloodstream infections are a serious problem. Many interventions reduce risk, and some have been evaluated in cost-effectiveness studies. We review the usefulness and quality of these economic studies. Evidence is incomplete, and data required to inform a coherent policy are missing. The cost-effectiveness studies are characterized by a lack of transparency, short time-horizons, and narrow economic perspectives. Data quality is low for some important model parameters. Authors of future economic evaluations should aim to model the complete policy and not just single interventions. They should be rigorous in developing the structure of the economic model, include all relevant economic outcomes, use a systematic approach for selecting data sources for model parameters, and propagate the effect of uncertainty in model parameters on conclusions. This will inform future data collection and improve our understanding of the economics of preventing these infections.

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The refurbishment of commercial buildings is growing as a percentage of overall construction activity in Australia and this trend is likely to continue. Refurbishment generates a significant waste stream much of which is potentially reusable or recyclable. Despite this potential, several factors are known to unnecessarily inhibit the amount of recycling that actually occurs on renovation projects. In order to identify the reasons causing this reluctance, a process of project monitoring and expert consultation was carried out. Twenty three experts experienced in commercial refurbishment projects and three waste contractors with specific knowledge of construction waste were interviewed. Records of receipts for waste from a case study project reveal three principal factors inhibiting recycling rates: the presence of asbestos in the building; the continued occupation of the building during construction; and the breaking up of a large project into small separate contracts thereby reducing economies of scale. To ascertain the potential for improvement, current rates for reuse and recycling of materials were collected from the experts. The results revealed a considerable variation in practice between companies and indicated key areas which should be targeted to improve performance.

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This paper proposes that the 'creative industries'(CIs) play an important yet widely unexamined function in economic evolution through their role in the innovation process. This occurs in terms of the facilitation of demand for novelty, the provision and development of social technologies for producer-consumer interactions, and the adoption and embedding of new technologies as institutions. The incorporation of CIs into the Schumpeterian model of economic evolution thus fills a notable gap in the social technologies of the origination, adoption and retention of innovation.

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Sustainable development is about making societal investments. These investments should be in synchronization with the natural environment, trends of social development, as well as organisational and local economies over a long time span. Traditionally in the eyes of clients, project development will need to produce the required profit margins, with some degrees of consideration for other impacts. This is being changed as all citizens of our society are becoming more aware of concepts and challenges such as the climate change, greenhouse footprints, and social dimensions of sustainability, and will in turn demand answers to these issues in built facilities. A large number of R&D projects have focused on the technical advancement and environmental assessment of products and built facilities. It is equally important address the cost/benefit issue, as developers in the world would not want to loose money by investing in built assets. For infrastructure projects, due to its significant cost of development and lengthy delivery time, presenting the full money story of going green is of vital importance. Traditional views of life-cycle costing tend to focus on the pure economics of a construction project. Sustainability concepts are not broadly integrated with the current LCCA in the construction sector. To rectify this problem, this paper reports on the progress to date of developing and extending contemporary LCCA models in the evaluation of road infrastructure sustainability. The suggested new model development is based on sustainability indicators identified through previous research, and incorporating industry verified cost elements of sustainability measures. The on-going project aims to design and a working model for sustainability life-cycle costing analysis for this type of infrastructure projects.