953 resultados para Generating summaries
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This report summarizes state and utility low-income weatherization program activity for households weatherized to completion during calendar year 2001. The report includes state, utility, and agency summaries of calendar year 2001 spending and impacts by measure, end-use, and fuel.
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This report summarizes state and utility low-income weatherization program activity for households weatherized to completion during calendar year 2001. The report includes state, utility, and agency summaries of calendar year 2001 spending and impacts by measure, end-use, and fuel.
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Signals detected with functional brain imaging techniques are based on the coupling of neuronal activity with energy metabolism. Techniques such as positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) allow the visualization of brain areas that are activated by a variety of sensory, motor or cognitive tasks. Despite the technological sophistication of these brain imaging techniques, the precise mechanisms and cell types involved in coupling and in generating metabolic signals are still debated. Recent experimental data on the cellular and molecular mechanisms that underlie the fluorodeoxyglucose (FDG) - based PET imaging point to a critical role of a particular brain cell type, the astrocytes, in coupling neuronal activity to glucose utilization. Indeed, astrocytes possess receptors and re-uptake sites for a variety of neurotransmitters, including glutamate, the predominant excitatory neurotransmitter in the brain, In addition, astrocytic end-feet, which surround capillaries, are enriched in the specific glucose transporter GLUT-1. These features allow astrocytes to "sense" synaptic activity and to couple it with energy metabolism. In vivo and in vitro data support the following functional model: in response to glutamate released by active neurons, glucose is predominantly taken up by astrocytic end-feet; glucose is then metabolized to lactate which provides a preferred energy substrate for neurons. These data support the notion that astrocytes markedly contribute to the FDG-PET signal.
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This report summarizes state and utility low-income weatherization program activity for households weatherized to completion during calendar year 2001. The report includes state, utility, and agency summaries of calendar year 2001 spending and impacts by measure, end-use, and fuel.
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Na actualidade, o empreendedorismo vem impulsionando o desenvolvimento de negócios em diferentes sectores com ênfase na qualidade dos serviços, tendo em vista não só a satisfação mas também a difícil tarefa de conquistar a lealdade dos clientes a médio e longo prazo. No mercado turístico, a satisfação do cliente é importante para que a actividade possa manter-se competitiva, uma vez que os clientes tornam-se mais exigentes à medida que vão-se tornando experientes. Neste contexto, o empreendedorismo aparece como forma de desenvolvimento do turismo, sendo que os resultados que se esperam das acções empreendedoras são a entrada em novos negócios, inovação, agregação de valor aos produtos/serviços e maior qualidade dos produtos/serviços. O objectivo central do trabalho é demonstrar a importância do empreendedorismo na actividade turística e como o mesmo contribui para agregação de valor e geração de resultados económicos. Para melhor compreensão do assunto da pesquisa, dividimos o enquadramento teórico em três momentos. No primeiro, abordamos o empreendedorismo, no segundo o turismo e, por fim, o empreendedorismo no turismo. O enquadramento teórico permitiu responder à questão: será que o empreendedorismo contribui para agregar valor e gerar resultados económicos na actividade turística? Os resultados do questionário aplicado aos proprietários das empresas turísticas evidenciaram que estes possuem características geralmente patentes nos empreendedores. No entanto, os resultados não são conclusivos quanto ao seu potencial empreendedor. In the present, time the entrepreneurship is driving the businesses development in different sector with emphasis on services quality in order not only satisfaction but also the difficult task of winning the costumers loyalty in the medium and long term. In the tourist market, the costumer’s satisfaction is important in order to remain the activity competitive, because the costumers become more demanding while they become experienced. In this context, the entrepreneurship shows up like a way to develop the tourism, because the expected results of entrepreneurial activities are entry in new businesses, innovation, the aggregation of value and more quality of the products/services. The central objective of this work is to demonstrate the importance of the entrepreneurship in to the tourism and how it contributes for adding value and generating economics results. To better understand the research’s subject, we divided the theoretical framework in three moments. At first one we approached entrepreneurship, then the tourism, and finally, we approached entrepreneurship in the tourism. The theoretical framework to allowed answer to the question: will the entrepreneurship contributes to add value and generate economics results in the tourism? The results of the questionnaire applied to the owners of tourists’ enterprises evidence that they possess the characteristics usually presented by the entrepreneurs. However, the results are not conclusive relatively to their potential entrepreneur.
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One of the key emphases of these three essays is to provide practical managerial insight. However, good practical insight, can only be created by grounding it firmly on theoretical and empirical research. Practical experience-based understanding without theoretical grounding remains tacit and cannot be easily disseminated. Theoretical understanding without links to real life remains sterile. My studies aim to increase the understanding of how radical innovation could be generated at large established firms and how it can have an impact on business performance as most businesses pursue innovation with one prime objective: value creation. My studies focus on large established firms with sales revenue exceeding USD $ 1 billion. Usually large established firms cannot rely on informal ways of management, as these firms tend to be multinational businesses operating with subsidiaries, offices, or production facilities in more than one country. I. Internal and External Determinants of Corporate Venture Capital Investment The goal of this chapter is to focus on CVC as one of the mechanisms available for established firms to source new ideas that can be exploited. We explore the internal and external determinants under which established firms engage in CVC to source new knowledge through investment in startups. We attempt to make scholars and managers aware of the forces that influence CVC activity by providing findings and insights to facilitate the strategic management of CVC. There are research opportunities to further understand the CVC phenomenon. Why do companies engage in CVC? What motivates them to continue "playing the game" and keep their active CVC investment status. The study examines CVC investment activity, and the importance of understanding the influential factors that make a firm decide to engage in CVC. The main question is: How do established firms' CVC programs adapt to changing internal conditions and external environments. Adaptation typically involves learning from exploratory endeavors, which enable companies to transform the ways they compete (Guth & Ginsberg, 1990). Our study extends the current stream of research on CVC. It aims to contribute to the literature by providing an extensive comparison of internal and external determinants leading to CVC investment activity. To our knowledge, this is the first study to examine the influence of internal and external determinants on CVC activity throughout specific expansion and contraction periods determined by structural breaks occurring between 1985 to 2008. Our econometric analysis indicates a strong and significant positive association between CVC activity and R&D, cash flow availability and environmental financial market conditions, as well as a significant negative association between sales growth and the decision to engage into CVC. The analysis of this study reveals that CVC investment is highly volatile, as demonstrated by dramatic fluctuations in CVC investment activity over the past decades. When analyzing the overall cyclical CVC period from 1985 to 2008 the results of our study suggest that CVC activity has a pattern influenced by financial factors such as the level of R&D, free cash flow, lack of sales growth, and external conditions of the economy, with the NASDAQ price index as the most significant variable influencing CVC during this period. II. Contribution of CVC and its Interaction with R&D to Value Creation The second essay takes into account the demands of corporate executives and shareholders regarding business performance and value creation justifications for investments in innovation. Billions of dollars are invested in CVC and R&D. However there is little evidence that CVC and its interaction with R&D create value. Firms operating in dynamic business sectors seek to innovate to create the value demanded by changing market conditions, consumer preferences, and competitive offerings. Consequently, firms operating in such business sectors put a premium on finding new, sustainable and competitive value propositions. CVC and R&D can help them in this challenge. Dushnitsky and Lenox (2006) presented evidence that CVC investment is associated with value creation. However, studies have shown that the most innovative firms do not necessarily benefit from innovation. For instance Oyon (2007) indicated that between 1995 and 2005 the most innovative automotive companies did not obtain adequate rewards for shareholders. The interaction between CVC and R&D has generated much debate in the CVC literature. Some researchers see them as substitutes suggesting that firms have to choose between CVC and R&D (Hellmann, 2002), while others expect them to be complementary (Chesbrough & Tucci, 2004). This study explores the interaction that CVC and R&D have on value creation. This essay examines the impact of CVC and R&D on value creation over sixteen years across six business sectors and different geographical regions. Our findings suggest that the effect of CVC and its interaction with R&D on value creation is positive and significant. In dynamic business sectors technologies rapidly relinquish obsolete, consequently firms operating in such business sectors need to continuously develop new sources of value creation (Eisenhardt & Martin, 2000; Qualls, Olshavsky, & Michaels, 1981). We conclude that in order to impact value creation, firms operating in business sectors such as Engineering & Business Services, and Information Communication & Technology ought to consider CVC as a vital element of their innovation strategy. Moreover, regarding the CVC and R&D interaction effect, our findings suggest that R&D and CVC are complementary to value creation hence firms in certain business sectors can be better off supporting both R&D and CVC simultaneously to increase the probability of generating value creation. III. MCS and Organizational Structures for Radical Innovation Incremental innovation is necessary for continuous improvement but it does not provide a sustainable permanent source of competitiveness (Cooper, 2003). On the other hand, radical innovation pursuing new technologies and new market frontiers can generate new platforms for growth providing firms with competitive advantages and high economic margin rents (Duchesneau et al., 1979; Markides & Geroski, 2005; O'Connor & DeMartino, 2006; Utterback, 1994). Interestingly, not all companies distinguish between incremental and radical innovation, and more importantly firms that manage innovation through a one-sizefits- all process can almost guarantee a sub-optimization of certain systems and resources (Davila et al., 2006). Moreover, we conducted research on the utilization of MCS along with radical innovation and flexible organizational structures as these have been associated with firm growth (Cooper, 2003; Davila & Foster, 2005, 2007; Markides & Geroski, 2005; O'Connor & DeMartino, 2006). Davila et al. (2009) identified research opportunities for innovation management and provided a list of pending issues: How do companies manage the process of radical and incremental innovation? What are the performance measures companies use to manage radical ideas and how do they select them? The fundamental objective of this paper is to address the following research question: What are the processes, MCS, and organizational structures for generating radical innovation? Moreover, in recent years, research on innovation management has been conducted mainly at either the firm level (Birkinshaw, Hamel, & Mol, 2008a) or at the project level examining appropriate management techniques associated with high levels of uncertainty (Burgelman & Sayles, 1988; Dougherty & Heller, 1994; Jelinek & Schoonhoven, 1993; Kanter, North, Bernstein, & Williamson, 1990; Leifer et al., 2000). Therefore, we embarked on a novel process-related research framework to observe the process stages, MCS, and organizational structures that can generate radical innovation. This article is based on a case study at Alcan Engineered Products, a division of a multinational company provider of lightweight material solutions. Our observations suggest that incremental and radical innovation should be managed through different processes, MCS and organizational structures that ought to be activated and adapted contingent to the type of innovation that is being pursued (i.e. incremental or radical innovation). More importantly, we conclude that radical can be generated in a systematic way through enablers such as processes, MCS, and organizational structures. This is in line with the findings of Jelinek and Schoonhoven (1993) and Davila et al. (2006; 2007) who show that innovative firms have institutionalized mechanisms, arguing that radical innovation cannot occur in an organic environment where flexibility and consensus are the main managerial mechanisms. They rather argue that radical innovation requires a clear organizational structure and formal MCS.
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OBJECTIVE Understanding the experiences of elderly with cancer pain. METHOD Qualitative research based on Heidegger's phenomenology. 12 elderly cancer patients from a city in northwest Paraná were interviewed from November 2013 to February 2014. RESULTS Analysis performed by vague, median and interpretive understanding which resulted in two ontological themes: Cancer pain: unveiling the imprisonment and impositions experienced by the elderly, and Unveiling the anguish of living with cancer pain; it revealed not only how the elderly experience pain in their daily lives, but also how hard it is to live with its particularities. CONCLUSION Cancer pain has biopsychosocial repercussions for the elderly, generating changes in their existence in the world, requiring holistic and authentic care.
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The methodology for generating a homology model of the T1 TCR-PbCS-K(d) class I major histocompatibility complex (MHC) class I complex is presented. The resulting model provides a qualitative explanation of the effect of over 50 different mutations in the region of the complementarity determining region (CDR) loops of the T cell receptor (TCR), the peptide and the MHC's alpha(1)/alpha(2) helices. The peptide is modified by an azido benzoic acid photoreactive group, which is part of the epitope recognized by the TCR. The construction of the model makes use of closely related homologs (the A6 TCR-Tax-HLA A2 complex, the 2C TCR, the 14.3.d TCR Vbeta chain, the 1934.4 TCR Valpha chain, and the H-2 K(b)-ovalbumine peptide), ab initio sampling of CDR loops conformations and experimental data to select from the set of possibilities. The model shows a complex arrangement of the CDR3alpha, CDR1beta, CDR2beta and CDR3beta loops that leads to the highly specific recognition of the photoreactive group. The protocol can be applied systematically to a series of related sequences, permitting the analysis at the structural level of the large TCR repertoire specific for a given peptide-MHC complex.
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Synaptic plasticity involves a complex molecular machinery with various protein interactions but it is not yet clear how its components give rise to the different aspects of synaptic plasticity. Here we ask whether it is possible to mathematically model synaptic plasticity by making use of known substances only. We present a model of a multistable biochemical reaction system and use it to simulate the plasticity of synaptic transmission in long-term potentiation (LTP) or long-term depression (LTD) after repeated excitation of the synapse. According to our model, we can distinguish between two phases: first, a "viscosity" phase after the first excitation, the effects of which like the activation of NMDA receptors and CaMKII fade out in the absence of further excitations. Second, a "plasticity" phase actuated by an identical subsequent excitation that follows after a short time interval and causes the temporarily altered concentrations of AMPA subunits in the postsynaptic membrane to be stabilized. We show that positive feedback is the crucial element in the core chemical reaction, i.e. the activation of the short-tail AMPA subunit by NEM-sensitive factor, which allows generating multiple stable equilibria. Three stable equilibria are related to LTP, LTD and a third unfixed state called ACTIVE. Our mathematical approach shows that modeling synaptic multistability is possible by making use of known substances like NMDA and AMPA receptors, NEM-sensitive factor, glutamate, CaMKII and brain-derived neurotrophic factor. Furthermore, we could show that the heteromeric combination of short- and long-tail AMPA receptor subunits fulfills the function of a memory tag.
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TEIXEIRA, José João Lopes. Departamento de Engenharia Agrícola, Centro de Ciências Agrárias da Universidade Federal do Ceará, Agosto de 2011. Hidrossedimentologia e disponibilidade hídrica da bacia hidrográfica da Barragem de Poilão, Cabo Verde. Orientador: José Carlos de Araújo. Examinadores: George Leite Mamede, Pedro Henrique Augusto Medeiros. O Arquipélago de Cabo Verde, situado na costa ocidental africana, sofre influência do deserto de Saara tornando o clima caraterizado por pluviometria muito baixa e distribuída irregularmente no espaço e no tempo. As chuvas são muito concentradas, gerando grandes escoamentos para o mar. O aumento da disponibilidade hídrica requer além da construção e manutenção de infraestrutura de captação e conservação de águas pluviais, uma gestão eficiente destes recursos. Atualmente, constitui um dos eixos estratégicos da política do estado de Cabo Verde, a captação, armazenamento e mobilização de águas superficiais através de construção de barragens. Estudos do comportamento hidrológico e sedimentológico do reservatório e da sua bacia de contribuição constituem premissas básicas para um ótimo dimensionamento, gestão e monitoramento da referida infraestrutura. É neste sentido que o presente estudo objetivou sistematizar informações hidrológicas e sedimentológicas da bacia hidrográfica da Barragem de Poilão (BP) e apresentar proposta operacional de longo prazo. A área de estudo ocupa 28 km² a montante da Bacia Hidrográfica da Ribeira Seca (BHRS) na Ilha de Santiago. A altitude da bacia varia de 99 m, situada na cota da barragem, até 1394 m. Para o estudo, foram utilizados e sistematizados, série pluviométrica de 1973 a 2010, registos de vazão instantânea do período 1984 a 2000 e registos agroclimáticos da área de estudo (1981 a 2004). Para o preenchimento das falhas tanto dos escoamentos como da descarga sólida em suspensão, foi utilizado o método de curva chave. Para estimativa de produção de sedimentos na bacia, aplicou-se a Equação Universal de Perda de Solo (USLE) e a razão de aporte de sedimentos (SDR). O índice de retenção de sedimentos no reservatório foi estimado pelo método de Brune e a distribuição de sedimento pelo método empírico de redução de área descrito por Borland e Miller e, revisado por Lara. Para gerar e simular curvas de vazão versus garantia foi utilizado código computacional VYELAS, desenvolvido por Araújo e baseado na abordagem de Campos. Também foi avaliada a redução da vazão de retirada do período 2006 a 2026, provocado pelo assoreamento do reservatório. Concluiu-se que em média a precipitação anual é de 323 mm, concentrando-se 73% nos meses de agosto e setembro; a bacia de contribuição apresenta como valor um número de curva (CN) de 76, com abstração inicial (Ia) de 26 mm, coeficiente de escoamento de 19% e uma vazão anual afluente de 1,7 hm³(cv= 0,73); a disponibilidade hídrica para uma garantia de 85% é avaliada em 0,548 hm³/ano e não 0,671 hm³/ano como indica o projeto original. Com uma descarga sólida estimada em 22.185 m³/ano conclui-se que até o ano de 2026, a capacidade do reservatório reduz a uma taxa de 1,8 % ao ano, devido ao assoreamento, provocando uma redução de 41% da disponibilidade hídrica inicial. Nessa altura, as perdas por evaporação e sangria serão da ordem de 81% da vazão afluente de entrada no reservatório. Na base desses resultados se apresentou proposta de operação da BP.
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The molecular diagnosis of retinal dystrophies (RD) is difficult because of genetic and clinical heterogeneity. Previously, the molecular screening of genes was done one by one, sometimes in a scheme based on the frequency of sequence variants and the number of exons/length of the candidate genes. Payment for these procedures was complicated and the sequential billing of several genes created endless paperwork. We therefore evaluated the costs of generating and sequencing a hybridization-based DNA library enriched for the 64 most frequently mutated genes in RD, called IROme, and compared them to the costs of amplifying and sequencing these genes by the Sanger method. The production cost generated by the high-throughput (HT) sequencing of IROme was established at CHF 2,875.75 per case. Sanger sequencing of the same exons cost CHF 69,399.02. Turnaround time of the analysis was 3 days for IROme. For Sanger sequencing, it could only be estimated, as we never sequenced all 64 genes in one single patient. Sale cost for IROme calculated on the basis of the sale cost of one exon by Sanger sequencing is CHF 8,445.88, which corresponds to the sale price of 40 exons. In conclusion, IROme is cheaper and faster than Sanger sequencing and therefore represents a sound approach for the diagnosis of RD, both scientifically and economically. As a drop in the costs of HT sequencing is anticipated, target resequencing might become the new gold standard in the molecular diagnosis of RD.
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Sequential randomized prediction of an arbitrary binary sequence isinvestigated. No assumption is made on the mechanism of generating the bit sequence. The goal of the predictor is to minimize its relative loss, i.e., to make (almost) as few mistakes as the best ``expert'' in a fixed, possibly infinite, set of experts. We point out a surprising connection between this prediction problem and empirical process theory. First, in the special case of static (memoryless) experts, we completely characterize the minimax relative loss in terms of the maximum of an associated Rademacher process. Then we show general upper and lower bounds on the minimaxrelative loss in terms of the geometry of the class of experts. As main examples, we determine the exact order of magnitude of the minimax relative loss for the class of autoregressive linear predictors and for the class of Markov experts.
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We model a Systemically Important Financial Institution (SIFI) that is too big(or too interconnected) to fail. Without credible regulation and strong supervision,the shareholders of this institution might deliberately let its managers take excessiverisk. We propose a solution to this problem, showing how insurance againstsystemic shocks can be provided without generating moral hazard. The solutioninvolves levying a systemic tax needed to cover the costs of future crises and moreimportantly establishing a Systemic Risk Authority endowed with special resolutionpowers, including the control of bankers' compensation packages during crisisperiods.
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This paper investigates the role of learning by private agents and the central bank(two-sided learning) in a New Keynesian framework in which both sides of the economyhave asymmetric and imperfect knowledge about the true data generating process. Weassume that all agents employ the data that they observe (which may be distinct fordifferent sets of agents) to form beliefs about unknown aspects of the true model ofthe economy, use their beliefs to decide on actions, and revise these beliefs througha statistical learning algorithm as new information becomes available. We study theshort-run dynamics of our model and derive its policy recommendations, particularlywith respect to central bank communications. We demonstrate that two-sided learningcan generate substantial increases in volatility and persistence, and alter the behaviorof the variables in the model in a significant way. Our simulations do not convergeto a symmetric rational expectations equilibrium and we highlight one source thatinvalidates the convergence results of Marcet and Sargent (1989). Finally, we identifya novel aspect of central bank communication in models of learning: communicationcan be harmful if the central bank's model is substantially mis-specified.
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An inflammatory response initiated by the NLRP3 inflammasome is triggered by a variety of situations of host 'danger', including infection and metabolic dysregulation. Previous studies suggested that NLRP3 inflammasome activity is negatively regulated by autophagy and positively regulated by reactive oxygen species (ROS) derived from an uncharacterized organelle. Here we show that mitophagy/autophagy blockade leads to the accumulation of damaged, ROS-generating mitochondria, and this in turn activates the NLRP3 inflammasome. Resting NLRP3 localizes to endoplasmic reticulum structures, whereas on inflammasome activation both NLRP3 and its adaptor ASC redistribute to the perinuclear space where they co-localize with endoplasmic reticulum and mitochondria organelle clusters. Notably, both ROS generation and inflammasome activation are suppressed when mitochondrial activity is dysregulated by inhibition of the voltage-dependent anion channel. This indicates that NLRP3 inflammasome senses mitochondrial dysfunction and may explain the frequent association of mitochondrial damage with inflammatory diseases.