782 resultados para challenges of managing pain


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The existing sources on the creation of new business are limited in providing assistance when it comes to specific challenges that the foundation team of an enterprise may face. Likewise, in the case of the social enterprise Plugged-in, there are key challenges with regard to the business model. In this work project, a benchmarking approach was chosen to address these challenges and to derive implications from the practices established by successful sample enterprises. Besides several best practices, potential approaches to solutions were identified and suggestions for further examination were given.

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We present a case of a 5th Lumbar Vertebra (L5) spinous process osteochondroma as a rare cause of lumbar pain in an old patient. A 70-year-old male presented with progressive and disabling lower lumbar pain. Tenderness over the central and left paraspinal area of the lower lumbar region and a palpable mass were evident. CT scan showed a mass arising from the spinous process of L5. Marginal resection of the tumor was performed through a posterior approach. The histological study revealed an osteochondroma. After surgery, pain was completely relieved. After one year there was no evidence of local recurrence or symptoms. Osteochondromas rarely involve the spine, but when they do symptoms like pain, radiculopathy/myelopathy, or cosmetic deformity may occur. The imagiologic exam of election for diagnosis is CT scan. When symptomatic the treatment of choice is surgical resection. The most concerning complication of osteochondromas is malignant transformation, a rare event.

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One particular field of Social Enterprise – WISEs or Work Integration Social Enterprises – has become increasingly recognised as being emblematic of the dynamics of social enterprises and now constitutes a major sphere of their activity globally. From their early roots, focusing on providing productive activity for the blind and those with other physical and/or intellectual disabilities, WISEs are pioneers in promoting the integration of excluded persons through a productive activity. In recent decades, WISEs have incrementally evolved as a tool for implementing national and regional labour market policies. The papers in this special edition explore how populations of WISEs in different country contexts have emerged, and in some instances, shifted in their identities over time in relation to changing national or regional public policies. This special issue is part of the ICSEM project, a worldwide research project aiming to identify, analyze and compare social enterprise models across countries, regions and fields. The special issue features five country specific analyses from the first stage of the ICSEM project where researchers focusing on WISEs examined the policy environment surrounding WISEs and the heterogeneity of the organizational WISE models that have emerged in different contexts: Ireland, the United States, Japan, Austria and Switzerland.

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This review was initiated based upon allegations from multiple sources of possible fraud in the Disaster Supplemental Nutrition Assistance Program (D-SNAP) administered by the South Carolina Department of Social Services (SCDSS), which was implemented in response to the 10/3/2015 statewide flooding from Hurricane Joaquin. This review’s scope and objectives were: Assess SCDSS’s D-SNAP implementation for compliance with federal guidelines, with emphasis on fraud preventative controls; Assess the SCDSS’s post-disaster review and audit methodology for compliance with federal guidelines, with emphasis on understanding the fraud risks and resolution strategies; and Identify residual risk/suspected fraud not addressed through the SCDSS review and available opportunities to address.

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This article is about the necessity of an up to date vision in teachers’ training. It starts with the latest studies and advances surrounding learning-along-life term. It presents a set of topics inspired in the contributions of new fields of study connected to learning. Such contributions, as neuroscience, should be considered in the decisions related to future teachers’ training, thus favoring the transformation of the pedagogical practice. Awareness and disposition to change are essential requirements for teacher trainers who will drive investigative processes and pedagogical proposals generation; all of this according to the new and dynamic knowledge society.

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Dynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, water, CO2, and momentum between the terrestrial surface and the atmosphere, biogeochemical cycles, carbon assimilation by vegetation, phenology, and land use change in scenarios of varying atmospheric CO2 concentrations. DGVMs increase the complexity and the Earth system representation when they are coupled with atmospheric global circulation models (AGCMs) or climate models. However, plant physiological processes are still a major source of uncertainty in DGVMs. The maximum velocity of carboxylation (Vcmax), for example, has a direct impact over productivity in the models. This parameter is often underestimated or imprecisely defined for the various plant functional types (PFTs) and ecosystems. Vcmax is directly related to photosynthesis acclimation (loss of response to elevated CO2), a widely known phenomenon that usually occurs when plants are subjected to elevated atmospheric CO2 and might affect productivity estimation in DGVMs. Despite this, current models have improved substantially, compared to earlier models which had a rudimentary and very simple representation of vegetation?atmosphere interactions. In this paper, we describe this evolution through generations of models and the main events that contributed to their improvements until the current state-of-the-art class of models. Also, we describe some main challenges for further improvements to DGVMs.

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Coastal communities face the social, cultural and environmental challenges of managing rapid urban and industrial development, expanding tourism, and sensitive ecological environments. Enriching relationships between communities and universities through a structured engagement process can deliver integrated options towards sustainable coastal futures. This process draws on the embedded knowledge and values of all participants in the relationship, and offers a wide and affordable range of options for the future. This paper reviews lessons learnt from two projects with coastal communities, and discusses their application in a third. Queensland University of Technology has formed collaborative partnerships with industry in Queensland's Wide Bay-Burnett region to undertake a series of planning and design projects with community engagement as a central process. Senior students worked with community and produced design and planning drawings and reports outlining future options for project areas. A reflective approach has been adopted by the authors to assess the engagement process and outcomes of each project to learn lessons to apply in the next. Methods include surveying community and student participants regarding the value they place on process and outcomes respectively in planning for a sustainable future. All project participants surveyed have placed high importance on the process of engagement, emphasising the value of developing relationships between all project partners. The quality of these relationships is central to planning for sustainable futures, and while the outcomes the students deliver are valued, it is as much for their catalytic role as for their contents. Design and planning projects through community engagement have been found to develop innovative responses to the challenges faced by coastal communities seeking direction toward sustainable futures. The enrichment of engagement relationships and processes has an important influence on the quality of these design and planning responses.

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Cloud computing is an emerging computing paradigm in which IT resources are provided over the Internet as a service to users. One such service offered through the Cloud is Software as a Service or SaaS. SaaS can be delivered in a composite form, consisting of a set of application and data components that work together to deliver higher-level functional software. SaaS is receiving substantial attention today from both software providers and users. It is also predicted to has positive future markets by analyst firms. This raises new challenges for SaaS providers managing SaaS, especially in large-scale data centres like Cloud. One of the challenges is providing management of Cloud resources for SaaS which guarantees maintaining SaaS performance while optimising resources use. Extensive research on the resource optimisation of Cloud service has not yet addressed the challenges of managing resources for composite SaaS. This research addresses this gap by focusing on three new problems of composite SaaS: placement, clustering and scalability. The overall aim is to develop efficient and scalable mechanisms that facilitate the delivery of high performance composite SaaS for users while optimising the resources used. All three problems are characterised as highly constrained, large-scaled and complex combinatorial optimisation problems. Therefore, evolutionary algorithms are adopted as the main technique in solving these problems. The first research problem refers to how a composite SaaS is placed onto Cloud servers to optimise its performance while satisfying the SaaS resource and response time constraints. Existing research on this problem often ignores the dependencies between components and considers placement of a homogenous type of component only. A precise problem formulation of composite SaaS placement problem is presented. A classical genetic algorithm and two versions of cooperative co-evolutionary algorithms are designed to now manage the placement of heterogeneous types of SaaS components together with their dependencies, requirements and constraints. Experimental results demonstrate the efficiency and scalability of these new algorithms. In the second problem, SaaS components are assumed to be already running on Cloud virtual machines (VMs). However, due to the environment of a Cloud, the current placement may need to be modified. Existing techniques focused mostly at the infrastructure level instead of the application level. This research addressed the problem at the application level by clustering suitable components to VMs to optimise the resource used and to maintain the SaaS performance. Two versions of grouping genetic algorithms (GGAs) are designed to cater for the structural group of a composite SaaS. The first GGA used a repair-based method while the second used a penalty-based method to handle the problem constraints. The experimental results confirmed that the GGAs always produced a better reconfiguration placement plan compared with a common heuristic for clustering problems. The third research problem deals with the replication or deletion of SaaS instances in coping with the SaaS workload. To determine a scaling plan that can minimise the resource used and maintain the SaaS performance is a critical task. Additionally, the problem consists of constraints and interdependency between components, making solutions even more difficult to find. A hybrid genetic algorithm (HGA) was developed to solve this problem by exploring the problem search space through its genetic operators and fitness function to determine the SaaS scaling plan. The HGA also uses the problem's domain knowledge to ensure that the solutions meet the problem's constraints and achieve its objectives. The experimental results demonstrated that the HGA constantly outperform a heuristic algorithm by achieving a low-cost scaling and placement plan. This research has identified three significant new problems for composite SaaS in Cloud. Various types of evolutionary algorithms have also been developed in addressing the problems where these contribute to the evolutionary computation field. The algorithms provide solutions for efficient resource management of composite SaaS in Cloud that resulted to a low total cost of ownership for users while guaranteeing the SaaS performance.

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Parkinson's disease (PD) is a chronic, progressive, degenerative disorder of the nervous system, causing substantial morbidity and has the capacity to shorten life. People with PD and their families can find the disease devastating. Nevertheless, this population of patients is not usually considered a group to be supported by palliative care specialists. But the nature of the illness and the challenges of managing its many physical and psychological effects raises questions about the potential benefits of a palliative care approach. The purpose of this project was to describe the experience of PD and consider the relevance of palliative care for this population. Semi-structured interviews were conducted with eight people with PD, 21 family caregivers and six health professionals. Five themes were developed from the data analysis: (1) emotional impact of diagnosis; (2) staying connected; (3) enduring financial hardship; (4) managing physical challenges; and (5) finding help for advanced stages. These data revealed that people with PD and family caregivers are confronted with similar issues to people with typical palliative care diagnoses, such as advanced cancer, and that a palliative approach may be helpful in the care of people with PD and their families.

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El Lago Chad ha sido durante varias décadas, una fuente de supervivencia económica para millones de personas que habitan en cuatro Estados a saber; Nigeria, Níger, Chad y Camerún. No obstante, el cambio climático, el aumento acelerado de la población, la explotación insostenible y la mala regulación de los Estados ribereños han sido los principales factores que han dado lugar, en la última década, a la dramática reducción del nivel del Lago Chad. Teniendo en cuenta que los Estados aledaños al Lago, se encuentran inmersos en una Interdependencia Compleja, este nuevo contexto, ha tenido un impacto directo en la región, debido a que ha agravado otras variables económicas, sociales, ambientales y políticas, dejando un ambiente de inseguridad regional. De esta manera, la reducción de la Cuenca del Lago Chad representa una amenaza compartida que vincula estrechamente a Nigeria, Níger, Chad y Camerún, lo que permite vislumbrar la existencia de un Subcomplejo de Seguridad Regional.

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La atención domiciliaria constituye hoy una modalidad de atención que permite solventar las dificultades derivadas de la sobreocupación hospitalaria y la cronicidad, los cuales constituyen un problema de interés en salud pública en los países desarrollados y que pueden ser manejados en el domicilio del paciente como una opción costo-efectiva y segura. Para lo cual es necesario buscar estrategias que permitan su desarrollo, gestión de riesgos y modelos de atención, logrando mejorar las condiciones de salud de la población. Uno de los principales retos de la gestión de programas de atención en salud, se encuentra en definir los aspectos donde intervenir para potenciar la eficacia y la calidad en la prestación del servicio, por lo que dichos aspectos se constituyen como determinantes de la atención del paciente y su familia. En este documento se abordan los principales determinantes en la atención de personas con secuelas de Enfermedad cerebrovascular, que reciben manejo medico domiciliario, con el objetivo de identificar las áreas prioritarias de intervención, garantizando una mejor gestión clínica en tres áreas específicas: sobrecarga del cuidador, Polimedicación y ulceras por decúbito.

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Cities and global climate change are closely linked: cities are where the bulk of greenhouse gas emissions take place through the consumption of fossil fuels; they are where an increasing proportion of the world’s people live; and they also generate their own climate – commonly characterized by the urban heat island. In this way, understanding the way cities affect the cycling of energy, water, and carbon to create an urban climate is a key element of climate mitigation and adaptation strategies, especially in the context of rising global temperatures and deteriorating air quality in many cities. As climate models resolve finer spatial-scales, they will need to represent those areas in which more than 50% of the world’s population already live to provide climate projections that are of greater use to planning and decision-making. Finally, many of the processes that are instrumental in determining urban climate are the same factors leading to global anthropogenic climate change, namely regional-scale land-use changes; increased energy use; and increased emissions of climatically-relevant atmospheric constituents. Cities are therefore both a case study for understanding, and an agent in mitigating, anthropogenic climate change. This chapter reviews and summarizes the current state of understanding of the physical basis of urban climates, as well as our ability to represent these in models. We argue that addressing the challenges of managing urban environments in a changing climate requires understanding the energy, water, and carbon balances for an urban landscape and, importantly, their interactions and feedbacks, together with their links to human behaviour and controls. We conclude with some suggestions for where further research is needed.

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La Bahía de Samborombón (provincia de Buenos Aires, Argentina) constituye un área de interface entre el ámbito fluvial-marítimo (desembocadura del Río de la Plata en el Mar Argentino) y el terrestre. La franja litoral sur de la misma fue sistemáticamente marginada por los procesos de valorización que dominaron el territorio pampeano. Sin embargo, en los últimos 30 años se han constituido diferentes áreas protegidas, correspondientes a diversas jurisdicciones del sector público (nacional, provincial, municipal) y privado (ONGs). El objetivo de este trabajo apunta a poner de relieve las problemáticas generadas en torno a la valorización del territorio y la gestión de las mencionadas áreas protegidas, en el marco de las actividades económicas dominantes (ganadería, pesca y turismo)

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La Bahía de Samborombón (provincia de Buenos Aires, Argentina) constituye un área de interface entre el ámbito fluvial-marítimo (desembocadura del Río de la Plata en el Mar Argentino) y el terrestre. La franja litoral sur de la misma fue sistemáticamente marginada por los procesos de valorización que dominaron el territorio pampeano. Sin embargo, en los últimos 30 años se han constituido diferentes áreas protegidas, correspondientes a diversas jurisdicciones del sector público (nacional, provincial, municipal) y privado (ONGs). El objetivo de este trabajo apunta a poner de relieve las problemáticas generadas en torno a la valorización del territorio y la gestión de las mencionadas áreas protegidas, en el marco de las actividades económicas dominantes (ganadería, pesca y turismo)

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La Bahía de Samborombón (provincia de Buenos Aires, Argentina) constituye un área de interface entre el ámbito fluvial-marítimo (desembocadura del Río de la Plata en el Mar Argentino) y el terrestre. La franja litoral sur de la misma fue sistemáticamente marginada por los procesos de valorización que dominaron el territorio pampeano. Sin embargo, en los últimos 30 años se han constituido diferentes áreas protegidas, correspondientes a diversas jurisdicciones del sector público (nacional, provincial, municipal) y privado (ONGs). El objetivo de este trabajo apunta a poner de relieve las problemáticas generadas en torno a la valorización del territorio y la gestión de las mencionadas áreas protegidas, en el marco de las actividades económicas dominantes (ganadería, pesca y turismo)