29 resultados para GCI


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Los elementos estructurales empleados en construcción no han sido en general diseñados para soportar acciones impulsivas, como la detonación de artefactos explosivos. Desde el siglo pasado el mundo ha sufrido ataques terroristas en los que en muchos casos se han producido explosiones que causaron víctimas, heridos y la destrucción de las construcciones próximas. Debido a este hecho, instituciones públicas y privadas comenzaron a mostrar interés por el comportamiento de los elementos estructurales que componen sus instalaciones. El hormigón armado es uno de los principales materiales utilizados en las estructuras de obras debido a sus buenas características, cuyo análisis y modelización en deformaciones dinámicas supone un campo de desafíos al que se está prestando gran atención en los últimos años. LS-DYNA® es un programa basado en elementos finitos capaz de simular problemas reales complejos en el que se han desarrollado distintos modelos de hormigón. Tres de esos modelos (K&C, RHT y CSCM) son evaluados con losas de distintos tamaños de mallado de elementos finitos frente a la detonación de 2 kg de TNT situados a 1 m de distancia. Dichos modelos son simulados y se obtienen los valores de las aceleraciones máximas en unos determinados puntos de las losas. Los valores son sometidos a la aplicación del Método GCI (Grid Convergence Index) para una relación de refinamiento de mallado no constante, cuyos resultados se comparan con aquellos registrados en los acelerómetros empleados durante la primera fase de ensayos del Proyecto SEGTRANS. Mediante el análisis de los resultados obtenidos se determina cual es el modelo de material y tamaño de mallado más adecuado que pueda emplearse en un futuro para poder modelar estructuras más complejas y con niveles de explosivo más elevados.

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As ações de maior liquidez do índice IBOVESPA, refletem o comportamento das ações de um modo geral, bem como a relação das variáveis macroeconômicas em seu comportamento e estão entre as mais negociadas no mercado de capitais brasileiro. Desta forma, pode-se entender que há reflexos de fatores que impactam as empresas de maior liquidez que definem o comportamento das variáveis macroeconômicas e que o inverso também é uma verdade, oscilações nos fatores macroeconômicos também afetam as ações de maior liquidez, como IPCA, PIB, SELIC e Taxa de Câmbio. O estudo propõe uma análise da relação existente entre variáveis macroeconômicas e o comportamento das ações de maior liquidez do índice IBOVESPA, corroborando com estudos que buscam entender a influência de fatores macroeconômicos sobre o preço de ações e contribuindo empiricamente com a formação de portfólios de investimento. O trabalho abrangeu o período de 2008 a 2014. Os resultados concluíram que a formação de carteiras, visando a proteção do capital investido, deve conter ativos com correlação negativa em relação às variáveis estudadas, o que torna possível a composição de uma carteira com risco reduzido.

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Uma parte significativa das perdas por atrito num motor automotivo resulta da ação de partículas abrasivas. Dentre as fontes possíveis, podem ser citados o próprio meio ambiente - partículas que passam pelo filtro de ar - o desgaste de partes metálicas do motor ou mesmo resíduos de combustão. Essas partículas podem ficar encrustadas em anéis do pistão, ou ficar na interface entre pistão e bloco ou camisa, e são responsáveis por sulcos axiais, na direção do movimento do pistão, observáveis em motores usados. O objetivo deste trabalho foi obter um melhor entendimento dos mecanismos de desgaste relacionados com o sulcamento de camisa/bloco e identificar conjuntos de testes laboratoriais capazes de reproduzi-los sob condições controladas. Amostras de ferro fundido cinzento (FoFo) e de aço AISI 1070 com dureza de matriz próxima daquela encontrada em FoFo (?200HV30) foram submetidas a ensaios de riscamento em tribômetros. Verificou-se que riscos executados com um endentador cônico submetido a cargas na faixa de 20 a 50 mN eram similares aos sulcos observados em camisas ou blocos. Ensaios com outros materiais, como alumínio e latão e mesmo aço de diferentes durezas contribuíram para melhorar o entendimento dos resultados. Não foi observada transição brusca entre mecanismos de abrasão. O cálculo do fator de remoção de material, fab, a partir de perfilometria óptica resultou em valores com dispersão elevada; não foi possível associa-los aos diferentes mecanismos de abrasão observados. Valores obtidos para o coeficiente de atrito no riscamento permitiram fazer uma estimativa inicial de energia gasta nos processos abrasivos do motor.

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Issued also as Environmental protection technology series ; EPA-600/2-76-022. Grant no. 17080 GCI, Grant no. WRD 97-01-68. Program element no. 1BB043-ROAP21ASB-Task 008. Final report 1967-1973.

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As ações de maior liquidez do índice IBOVESPA, refletem o comportamento das ações de um modo geral, bem como a relação das variáveis macroeconômicas em seu comportamento e estão entre as mais negociadas no mercado de capitais brasileiro. Desta forma, pode-se entender que há reflexos de fatores que impactam as empresas de maior liquidez que definem o comportamento das variáveis macroeconômicas e que o inverso também é uma verdade, oscilações nos fatores macroeconômicos também afetam as ações de maior liquidez, como IPCA, PIB, SELIC e Taxa de Câmbio. O estudo propõe uma análise da relação existente entre variáveis macroeconômicas e o comportamento das ações de maior liquidez do índice IBOVESPA, corroborando com estudos que buscam entender a influência de fatores macroeconômicos sobre o preço de ações e contribuindo empiricamente com a formação de portfólios de investimento. O trabalho abrangeu o período de 2008 a 2014. Os resultados concluíram que a formação de carteiras, visando a proteção do capital investido, deve conter ativos com correlação negativa em relação às variáveis estudadas, o que torna possível a composição de uma carteira com risco reduzido.

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OBJECTIVE: To determine the distribution of the pathological changes in the neocortex in multiple-system atrophy (MSA). METHOD: The vertical distribution of the abnormal neurons (neurons with enlarged or atrophic perikarya), surviving neurons, glial cytoplasmic inclusions (GCI) and neuronal cytoplasmic inclusions (NI) were studied in alpha-synuclein-stained material of frontal and temporal cortex in ten cases of MSA. RESULTS: Abnormal neurons exhibited two common patterns of distribution, viz., density was either maximal in the upper cortex or a bimodal distribution was present with a density peak in the upper and lower cortex. The NI were either located in the lower cortex or were more uniformly distributed down the cortical profile. The distribution of the GCI varied considerably between gyri and cases. The density of the glial cell nuclei was maximal in the lower cortex in the majority of gyri. In a number of gyri, there was a positive correlation between the vertical densities of the abnormal neurons, the total number of surviving neurons, and the glial cell nuclei. The vertical densities of the GCI were not correlated with those of the surviving neurons or glial cells but the GCI and NI were positively correlated in a small number of gyri. CONCLUSION: The data suggest that there is significant degeneration of the frontal and temporal lobes in MSA, the lower laminae being affected more significantly than the upper laminae. Cortical degeneration in MSA is likely to be secondary to pathological changes occurring within subcortical areas.

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The density and spatial distribution of the vacuoles, glial cell nuclei and glial cytoplasmic inclusions (GCI) were studied in the white matter of various cortical and subcortical areas in 10 cases of multiple system atrophy (MSA). Vacuolation was more prevalent in subcortical than cortical areas and especially in the central tegmental tract. Glial cell nuclei widespread in all areas of the white matter studied; overall densities of glial cell nuclei being significantly greater in the central tegmental tract and frontal cortex compared with areas of the pons. The GCI were present most consistently in the external and internal capsules, the central tegmental tract and the white matter of the cerebellar cortex. The density of the vacuoles was greater in the MSA brains than in the control brains but glial cell density was similar in both groups. In the majority of areas, the pathological changes were distributed across the white matter randomly, uniformly, or in large diffuse clusters. In most areas, there were no spatial correlations between the vacuoles, glial cell nuclei and GCI. These results suggest: (i) there is significant degeneration of the white matter in MSA characterized by vacuolation and GCI; (ii) the central tegmental tract is affected significantly more than the cortical tracts; (iii) pathological changes are diffusely rather than topographically distributed across the white matter; and (iv) the development of the vacuoles and GCI appear to be unrelated phenomena. © 2007 Japanese Society of Neuropathology.

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To study the topographic distribution of the pathology in multiple system atrophy (MSA). Pattern analysis was carried out using a-synuclein immunohistochemistry in 10 MSA cases. The glial cytoplasmic inclusions (GCI) were distributed randomly or in large clusters. The neuronal inclusions (NI) and abnormal neurons were distributed in regular clusters. Clusters of the NI and abnormal neurons were spatially correlated whereas the GCI were not spatially correlated with either the NI or the abnormal neurons. The data suggest that the GCI represent the primary change in MSA and the neuronal pathology develops secondary to the glial pathology.

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The densities of the glial cytoplasmic inclusions (GCI), neuronal inclusions (NI), and abnormal neurons were studied in the frontal cortex, hippocampus, cerebellum, basal ganglia and areas of the pons and medulla in 10 cases of multiple system atrophy (MSA). GCI density was greater in the substantia nigra and globus pallidus compared with the frontal cortex and hippocampus. Abnormal neurons were most abundant in the frontal cortex, substantia nigra, and inferior olivary nucleus. NI and abnormal neuron densities were positively correlated in the globus pallidus but negatively correlated in the hippocampus. The NI and GCI were only positively correlated in the pons. GCI in the pons and inferior olivary nucleus, NI in the substantia nigra, and abnormal neurons in the frontal cortex varied significantly between cases. The MSA cases did not cluster according to disease subtype. The data suggest that: 1) the greatest densities of pathological changes occur in the substantia nigra and globus pallidus, 2) density of the GCI is unrelated to that of the NI, and 3) there is overlapping pathology between the various subtypes of MSA.

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In cases of multiple system atrophy (MSA), glial cytoplasmic inclusions (GCI) were distributed randomly or present in large diffuse clusters (>1,600 μm in diameter) in most areas studied. These spatial patterns contrast with those reported for filamentous neuronal inclusions in the tauopathies and α-synucleinopathies. © 2003 Movement Disorder Society.

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Multiple system atrophy (MSA) is a rare neurodegenerative disorder associated with parkinsonism, ataxia, and autonomic dysfunction. Its pathology is primarily subcortical comprising vacuolation, neuronal loss, gliosis, and α-synuclein-immunoreactive glial cytoplasmic inclusions (GO). To quantify cerebellar pathology in MSA, the density and spatial pattern of the pathological changes were studied in α-synuclein-immunolabelled sections of the cerebellar hemisphere in 10 MSA and 10 control cases. In MSA, densities of Purkinje cells (PC) were decreased and vacuoles in the granule cell layer (GL) increased compared with controls. In six MSA cases, GCI were present in cerebellar white matter. In the molecular layer (ML) and GL of MSA, vacuoles were clustered, the clusters exhibiting a regular distribution parallel to the edge of the folia. Purkinje cells were randomly or regularly distributed with large gaps between surviving cells. Densities of glial cells and surviving neurons in the ML and surviving cells and vacuoles in the GL were negatively correlated consistent with gliosis and vacuolation in response to neuronal loss. Principal components analysis (PCA) suggested vacuole densities in the ML and vacuole density and cell losses in the GL were the main source of neuropathological variation among cases. The data suggest that: (1) cell losses and vacuolation of the GCL and loss of PC were the most significant pathological changes in the cases studied, (2) pathological changes were topographically distributed, and (3) cerebellar pathology could influence cerebral function in MSA via the cerebello-dentato-thalamic tract.

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Oligodendrocytes have multiple functions in the central nervous system including mechanical support of neurons, production of myelin sheaths, and uptake and inactivation of chemical neurotransmitters released by neurons. Consequently, oligodendrocytes could be involved in the pathology of a number of neurodegenerative diseases. Although, the molecular mechanisms involved require further elucidation, it is likely that oligodendrocyte dysfunction is important in Alzheimer’s disease (AD), amyotrophic lateral sclerosis (ALS), and multiple sclerosis (MS). In addition, abnormal protein aggregates in the form of oligodendrocyte inclusions (OI) have been observed in several other disorders, most notable in multiple system atrophy (MSA), in which the glial cytoplasmic inclusion (GCI) is the ‘signature’ pathology of the disease. OI have also been identified in argyrophilic grain disease (AGD), progressive supranuclear palsy (PSP) (Armstrong et al 2007), and various forms of frontotemporal lobar degeneration (FTLD) (Armstrong et al 2010), although their role in the pathology of these disorders is less clear. It is likely that future research will expand the range of disorders in which oligodendrocytes play a significant role in neurodegeneration.

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Tudomány nem létezik a tények felmérése, adatok gyűjtése és felhasználása nélkül. A tényeket azonban el lehet hallgatni vagy ferdíteni, az adatokat sokféleképpen lehet összeválogatni, az azokból készült mutatószámokat pedig a bonyolult és változó valóság leegyszerűsítő, sőt meghamisító ábrázolására, illetve magyarázatára is fel lehet használni. _____ Economics cannot do without measuring. However, the required data are not always available or they are not reliable, as some cases of population census exemplify it. The indicators we use, particularly composite indexes, are often misleading because they oversimplify complex phenomena or processes, and neglect important non-measurable ones, as the examples of the per capita GDP indicator measuring the development level of countries, and the composite indexes measuring the “human development” of countries (HDI), or their “national competitiveness” (GCI) may show. To avoid the enchantment of numbers, the quantitative approach must always be combined and corrected by a critical, holistic and qualitative approach.

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