416 research outputs found

    The University of Glasgow at ImageClefPhoto 2009

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    In this paper we describe the approaches adopted to generate the five runs submitted to ImageClefPhoto 2009 by the University of Glasgow. The aim of our methods is to exploit document diversity in the rankings. All our runs used text statistics extracted from the captions associated to each image in the collection, except one run which combines the textual statistics with visual features extracted from the provided images. The results suggest that our methods based on text captions significantly improve the performance of the respective baselines, while the approach that combines visual features with text statistics shows lower levels of improvements

    Looking at Vector Space and Language Models for IR using Density Matrices

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    In this work, we conduct a joint analysis of both Vector Space and Language Models for IR using the mathematical framework of Quantum Theory. We shed light on how both models allocate the space of density matrices. A density matrix is shown to be a general representational tool capable of leveraging capabilities of both VSM and LM representations thus paving the way for a new generation of retrieval models. We analyze the possible implications suggested by our findings.Comment: In Proceedings of Quantum Interaction 201

    Vibrations of cable-suspended rehabilitation robots

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    Rehabilitation robots help the treatment of diseases by performing cyclic exercises for a long period of time. These exercises must perform movements of the patient's limbs; thus, the robots are required to be flexible and safe. Among rehabilitation robots, cable robots are widely used due to their unique properties, such as being lightweight and the possibility of being equipped with magnetic hooks to improve both safety and ease of use. However, the elasticity and flexibility of cables result in vibrations of the payload and hooks. In this paper, the forced vibrations due to rehabilitation exercises are studied. Since the previous studies of the authors showed a weak coupling between longitudinal and transverse vibrations, a two-cable planar model for the study of transverse vibrations is developed. The model makes it possible to study the forced transverse vibrations due to both cable motion and robot motion. Stiffness and damping of the patient's arm are considered. Results show that the cable system exhibits a simple linear behavior when excited by robot motion and a non-linear behavior when excited by cable motion

    Calculation Of Secondary Particles In Atmosphere And Hadronic Interactions

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    Calculation of secondary particles produced by the interaction of cosmic rays with the nuclei of Earth's atmosphere pose important requirements to particle production models. Here we summarize the important features of hadronic simulations, stressing the importance of the so called ``microscopic'' approach, making explicit reference to the case of the FLUKA code. Some benchmarks are also presented.Comment: 10 pages, 4 figures. Extended version of report given at the IInd Workshop on Matter and anti-Matter, Trento, Oct. 200

    Using the quantum probability ranking principle to rank interdependent documents

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    A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependence between documents. Recently, the Quantum Probability Ranking Principle (QPRP) has been proposed, which implicitly captures dependencies between documents through “quantum interference”. This paper explores whether this new ranking principle leads to improved performance for subtopic retrieval, where novelty and diversity is required. In a thorough empirical investigation, models based on the PRP, as well as other recently proposed ranking strategies for subtopic retrieval (i.e. Maximal Marginal Relevance (MMR) and Portfolio Theory(PT)), are compared against the QPRP. On the given task, it is shown that the QPRP outperforms these other ranking strategies. And unlike MMR and PT, one of the main advantages of the QPRP is that no parameter estimation/tuning is required; making the QPRP both simple and effective. This research demonstrates that the application of quantum theory to problems within information retrieval can lead to significant improvements

    Isolation and phenotyping of potential stem cells from the umbilical cord of the bottlenose dolphin(Tursiops truncatus)

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    We have successfully isolated cells with stem-like properties from bottlenose dolphin (Tursiops truncatus) umbilical cord. Our results show that this cetacean species has embryonic fetal and adult stem cells as do humans and other studied mammals. This accomplishment allows to eventually investigate whether dolphins, due to their unique adaptations to aquatic environments, have special stem cell lineages or distinctive mechanisms of cell programming. Further characterization of their potency to differentiate into multiple cell lineages would fulfill numerous applicative purposes. We characterized, developed and refined a new protocol for obtaining potential stem cells from umbilical cord tissues of the bottlenose dolphin. Tissue samples were taken from umbilical cords of successful deliveries immediately after placenta ejection and collection from the water. Umbilical cord samples (2-3 cm3) were excised and subjected to enzymatic digestion and mechanical dissociation. Viable cells from specimens resident in the Oceanografic Valencia were cultured and subsequently isolated and tested for pluripotent characteristics (cell morphology, phenotype and expression of surface markers). Cell viability was confirmed also after freezing/thawing. The established protocol is suitable for collection/isolation/culture of dolphin potential mesenchymal stem cells from dolphin umbilical cord, which can be deposited in cell banks for future research needs
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