Relação entre a unidade de biofeedback de pressão, deslocamento do centro de pressão e atividade eletromiográfica durante o active straight leg raising em indivíduos com e sem dor lombo-pélvica.

Introdução: A unidade de biofeedback de pressão, em indivíduos com dor lombo-pélvica, é utilizada durante exercícios de estabilização segmentar, no entanto ainda carece de evidência científica. Objetivo: Determinar a relação entre a unidade de biofeedback de pressão (UBFP), o deslocamento do centro de pressão no sentido médio-lateral (COPml) e a atividade eletromiográfica abdominal durante o active straight leg raising (ASLR) em indivíduos com e sem dor lombo-pélvica, bem como identificar diferenças entre os grupos. Metodologia: Estudo transversal analítico em 18 estudantes universitários voluntários com dor lombo-pélvica crónica inespecífica (GCD) e em 20 sem dor (GSD). Durante o ASLR (desafio postural dinâmico) foram avaliadas as variações máxima e média da pressão (recorrendo à UBFP) e do deslocamento do COPml (através da plataforma de forças), bem como a atividade muscular abdominal, bilateralmente, com recurso à eletromiografia de superfície. Estatisticamente recorreu-se à correlação de Spearman e ao teste Mann-Whitney U, ambos com um nível de significância de 0,05. Resultados: No GCD, ao contrário do GSD, não foi verificada uma relação entre a UBFP e a atividade do transverso abdominal/obliquo interno (TrA/OI) contra-lateral. Correlações moderadas, mas com sentidos opostos, foram evidenciadas em ambos os grupos, entre o deslocamento do COPml e a atividade do TrA/OI contra-lateral. Em ambos os grupos, a UBFP demonstrou estar fortemente correlacionada com o COPml. Não foram observadas diferenças significativas entre os grupos nas variáveis avaliadas. Conclusão: A UBFP, no GCD, não se apresentou relacionada com a atividade do TrA/OI. Contudo, demonstrou uma relação com o deslocamento do COPml, em ambos os grupos, sendo portanto um indicador de estabilidade do tronco e assim, uma ferramenta útil em ambiente clínico. No GCD observou-se que uma maior atividade muscular TrA/OI pressupõe maior deslocamento do COPml, sendo uma relação contrária à verificada no GSD, podendo ser um indicador da perda da sua ação tónica.

Detection of quasi-periodic processes in complex systems: how do we quantitatively describe their properties?

It has been shown that in reality at least two general scenarios of data structuring are possible: (a) a self-similar (SS) scenario when the measured data form an SS structure and (b) a quasi-periodic (QP) scenario when the repeated (strongly correlated) data form random sequences that are almost periodic with respect to each other. In the second case it becomes possible to describe their behavior and express a part of their randomness quantitatively in terms of the deterministic amplitude–frequency response belonging to the generalized Prony spectrum. This possibility allows us to re-examine the conventional concept of measurements and opens a new way for the description of a wide set of different data. In particular, it concerns different complex systems when the ‘best-fit’ model pretending to be the description of the data measured is absent but the barest necessity of description of these data in terms of the reduced number of quantitative parameters exists. The possibilities of the proposed approach and detection algorithm of the QP processes were demonstrated on actual data: spectroscopic data recorded for pure water and acoustic data for a test hole. The suggested methodology allows revising the accepted classification of different incommensurable and self-affine spatial structures and finding accurate interpretation of the generalized Prony spectroscopy that includes the Fourier spectroscopy as a partial case.

Soil sampling design and sampling techniques for soil properties monitoring – common difficulties related to forest soils

Mathematical models and statistical analysis are key instruments in soil science scientific research as they can describe and/or predict the current state of a soil system. These tools allow us to explore the behavior of soil related processes and properties as well as to generate new hypotheses for future experimentation. A good model and analysis of soil properties variations, that permit us to extract suitable conclusions and estimating spatially correlated variables at unsampled locations, is clearly dependent on the amount and quality of data and of the robustness techniques and estimators. On the other hand, the quality of data is obviously dependent from a competent data collection procedure and from a capable laboratory analytical work. Following the standard soil sampling protocols available, soil samples should be collected according to key points such as a convenient spatial scale, landscape homogeneity (or non-homogeneity), land color, soil texture, land slope, land solar exposition. Obtaining good quality data from forest soils is predictably expensive as it is labor intensive and demands many manpower and equipment both in field work and in laboratory analysis. Also, the sampling collection scheme that should be used on a data collection procedure in forest field is not simple to design as the sampling strategies chosen are strongly dependent on soil taxonomy. In fact, a sampling grid will not be able to be followed if rocks at the predicted collecting depth are found, or no soil at all is found, or large trees bar the soil collection. Considering this, a proficient design of a soil data sampling campaign in forest field is not always a simple process and sometimes represents a truly huge challenge. In this work, we present some difficulties that have occurred during two experiments on forest soil that were conducted in order to study the spatial variation of some soil physical-chemical properties. Two different sampling protocols were considered for monitoring two types of forest soils located in NW Portugal: umbric regosol and lithosol. Two different equipments for sampling collection were also used: a manual auger and a shovel. Both scenarios were analyzed and the results achieved have allowed us to consider that monitoring forest soil in order to do some mathematical and statistical investigations needs a sampling procedure to data collection compatible to established protocols but a pre-defined grid assumption often fail when the variability of the soil property is not uniform in space. In this case, sampling grid should be conveniently adapted from one part of the landscape to another and this fact should be taken into consideration of a mathematical procedure.