Em nosso pais, pouco se conhece sobre epidemiologia, natureza e prejuizos advindos da dor em criancas, adultos e idosos.Estima-se que no Brasil 50% das consultas medicas estao relacionadas a dor cronica e que 50% dos doentes que a vivenciam podem tornar-se incapacitados por ela.Focando no idoso, a dor cronica e um sintoma recorrente, sendo associada ao processo de envelhecimento ou a enfermidades caracteristicas desse periodo da vida.Diante dessa realidade, este estudo objetivoutracar um perfil epidemiologico avaliando os prejuizos que a dor pode causar na qualidade de vida do idoso.Trata-se de um estudo epidemiologico analitico transversal baseado em dados dos prontuarios de idosos institucionalizados em um Centro Dia no interior paulista e tambem a aplicacao do questionario “GeriatricPainMeasurement”(GPM). Foram entrevistados 20 idosos,8 do sexo masculino e 12 feminino, escolhidos pelas condicoes cognitivas.Destes,10 relataram que sentiam dor, sendo2  de intensidade leve,5  moderada e 3 severa.A maior incidencia de intensidade da dor foi moderada e grave em homens, igualando-se aos dados encontrados na literatura.Esperava-se que a principal queixa fossede dor osteomuscular, mas nos dados coletados as localizacoes e tipos foram variados, sem relacoes significativas para esse parâmetro.Foram notificados neste grupo 5 idosos em acompanhamento com ortopedista efisioterapeuta, mas estes tratamentos estavamrelacionados as doencas cronico-degenerativas, e nao apenas a dor.Diante disto, e relevante enfatizar que esses idosostambemapresentaramcomorbidades como:9 comHipertensao Arterial Sistemica,7 Diabetes Mellitus, 12 insonia e 2  Acidente Vascular Encefalico, interferindo na qualidade de vida e no processo doloroso.Portanto, e importante que os profissionais da saude aprofundem seus conhecimentos em questoes envolvendo a dinâmica da dor cronica, com o intuito de melhorar a atencao as condicoes de saude dos idosos.

Different types of fibres are often used in concrete to prevent microcracking due to shrinkage, and polypropylene fibres are among the most often used ones. If not prevented, microcracks can lead to the development of larger cracks as drying shrinkage occurs, enabling penetration of aggressive substances from the environment and reducing durability of concrete structures. The hypothesis of the present research is that polypropylene fibres, used in concrete for controlling formation of microcracks due to shrinkage, can be replaced with recycled polymer fibres obtained from end-of-life tyres. To test the hypothesis, concrete mixtures containing polypropylene fibres and recycled tyre polymer fibres were prepared and tested. Experimental programme focused on autogenous, free, and restrained shrinkage. It was shown that PP fibres can be substituted with higher amount of recycled tyre polymer fibres obtaining concrete with similar shrinkage behaviour. The results indicate promising possibilities of using recycled tyre polymer fibres in concrete products. At the same time, such applications would contribute to solving the problem of waste tyre disposal.

If $D$ is a Reedy category and $M$ is a model category, the category $M^{D}$ of $D$-diagrams in $M$ is a model category under the Reedy model category structure. If $C \to D$ is a Reedy functor between Reedy categories, then there is an induced functor of diagram categories $M^{D} \to M^{C}$. Our main result is a characterization of the Reedy functors $C \to D$ that induce right or left Quillen functors $M^{D} \to M^{C}$ for every model category $M$. We apply these results to various situations, and in particular show that certain important subdiagrams of a fibrant multicosimplicial object are fibrant.

Mechanical wear and defective bearings can cause machinery to reduce its reliability, safety and efficiency. Therefore it is very important to take care of bearings during maintenance and detect their faults in an early stage in order to assure safe and efficient operation. We present a new technique for an early fault detection and diagnosis in rolling-element bearings based on vibration signal analysis. After normalization and the wavelet transform of vibration signals, the logarithmic energy entropy as a measure of the degree of order/disorder is extracted in a few sub-bands of interest. Then the feature space dimension is optimally reduced to two using scatter matrices. In the reduced two-dimensional feature space the fault detection is performed by a quadratic classifier and the fault diagnosis by another two quadratic classifiers. Accuracy of the new technique was tested on the ball bearing data recorded at the Case Western Reserve University Bearing Data Center. In total four classes of the vibrations signals were studied, i.e. normal, with the fault of inner race, outer race and balls operation. An overall accuracy of 100% was achieved. The new technique can be used to increase productivity and energy efficiency by preventing unexpected faulty operation of machinery bearings.