5,669 research outputs found

    PCA Tomography and its application to nearby galactic nuclei

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    With the development of modern technologies such as IFUs, it is possible to obtain data cubes in which one produces images with spectral resolution. To extract information from them can be quite complex, and hence the development of new methods of data analysis is desirable. We briefly describe a method of analysis of data cubes (data from single field observations, containing two spatial and one spectral dimension) that uses Principal Component Analysis (PCA) to express the data in the form of reduced dimensionality, facilitating efficient information extraction from very large data sets. We applied the method, for illustration purpose, to the central region of the low ionization nuclear emission region (LINER) galaxy NGC 4736, and demonstrate that it has a type 1 active nucleus, not known before. Furthermore, we show that it is displaced from the centre of its stellar bulge.Comment: 4 pages, 1 figure, 1 table, to be published in the Proceedings of the IAU Symposium no. 26

    Rehabilitation of soft tissue injuries of the hip and pelvis

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    Soft tissue injuries of the hip and pelvis are common among athletes and can result in significant time loss from sports participation. Rehabilitation of athletes with injuries such as adductor strain, iliopsoas syndrome, and gluteal tendinopathy starts with identification of known risk factors for injury and comprehensive evaluation of the entire kinetic chain. Complex anatomy and overlapping pathologies often make it difficult to determine the primary cause of the pain and dysfunction. The purpose of this clinical commentary is to present an impairment-based, stepwise progression in evaluation and treatment of several common soft tissue injuries of the hip and pelvis. LEVEL OF EVIDENCE: 5

    CHANGES IN FORCE-LENGTH RELATIONSHIP OF TRICEPS SURAE MUSCLES AFTER REPEATED ECCENTRIC-CONCENTRIC EXERCISES

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    INTRODUCTION: Postexercise muscle soreness develops gradually 24 to 48 hours after an eccentric exercise. The prolonged reduction of maximal voluntary force also occurs after eccentric exercise (Nosaka et al, 1991). The reduction in maximal force is thought to be due to peripheral muscle damage derived by eccentric lengthening, but the exact mechanisms are yet to be discovered. One possibility of the reduction in force is the shifting of the optimal length for force production (Prasartwuth et al. 2006). In this study we tested this possibility for the human triceps surae muscles

    MUSCLE ARCHITECTURE AND THE RATIO OF JOINT TORQUE TO MUSCLE VOLUME OF TRICEPS SURAE MUSCLES IN YOUNG MEN AND WOMEN

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    INTRODUCTION: Muscle volume is a major determinant of joint torque (Fukunaga et al., 2001). However, it is not clear whether there are gender-differences in a relationship between joint torque and muscle volume. It is not clear also about muscle architecture, e.g., physiological cross-sectional area (PCSA) and fascicle length. We aim to compare 1) muscle architecture under the maximal voluntary contraction condition and muscle volume (MVTS) of the triceps surae muscles (TS), and 2) the relationship between MVC and MVTS, for young men and women

    FORCE-LENGTH RELATIONSHIPS OF HUMAN GASTROCNEMIUS AND SOLEUS MUSCLES IN VIVO

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    INTRODUCTION: Synergistic muscle have different architecture, and therefore could have different force-length relationships for the same joint angle changes. Previous studies have failed to reveal the force-length relationships of synergistic muscles. The purpose of this study was to investigate the force-length relationships of the triceps surae muscles for humans in vivo

    Robust multi-fidelity design of a micro re-entry unmanned space vehicle

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    This article addresses the preliminary robust design of a small-scale re-entry unmanned space vehicle by means of a hybrid optimization technique. The approach, developed in this article, closely couples an evolutionary multi-objective algorithm with a direct transcription method for optimal control problems. The evolutionary part handles the shape parameters of the vehicle and the uncertain objective functions, while the direct transcription method generates an optimal control profile for the re-entry trajectory. Uncertainties on the aerodynamic forces and characteristics of the thermal protection material are incorporated into the vehicle model, and a Monte-Carlo sampling procedure is used to compute relevant statistical characteristics of the maximum heat flux and internal temperature. Then, the hybrid algorithm searches for geometries that minimize the mean value of the maximum heat flux, the mean value of the maximum internal temperature, and the weighted sum of their variance: the evolutionary part handles the shape parameters of the vehicle and the uncertain functions, while the direct transcription method generates the optimal control profile for the re-entry trajectory of each individual of the population. During the optimization process, artificial neural networks are utilized to approximate the aerodynamic forces required by the optimal control solver. The artificial neural networks are trained and updated by means of a multi-fidelity approach: initially a low-fidelity analytical model, fitted on a waverider type of vehicle, is used to train the neural networks, and through the evolution a mix of analytical and computational fluid dynamic, high-fidelity computations are used to update it. The data obtained by the high-fidelity model progressively become the main source of updates for the neural networks till, near the end of the optimization process, the influence of the data obtained by the analytical model is practically nullified. On the basis of preliminary results, the adopted technique is able to predict achievable performance of the small spacecraft and the requirements in terms of thermal protection materials
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