1,897 research outputs found

    STEPPING CHARACTERISTICS BEFORE STAIR WALKING TRANSITONS IN TAICHI ELDERLY

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    The purpose of this study was to investigate the difference between TC exerciser and normal elderly in stepping characteristics before stair walking transition. There were 12 TC practitioner elderly and 14 matched controls participated in this stady. Ten Vicon high-speed cameras (250Hz) were utilised to collect kinematic data. Results showed that TC group presented faster CoM velocity during descending and following walk. At the moment of just before transition, TC group showed faster resultant / horizontal CoM velocity, TOE resultant / vertical velocity. TC group also demonstrated greater stride length while contacting the ground. We concluded TC group had better abilities of body control. Faster horizontal CoM velocity and vertical TOE velocity negotiated before transiton in TC group, would be order to transit the unstable situation more efficient

    AGE-DIFFERENCES IN THE FREE VERTICAL MOMENTS DURING STEPPING DOWN - PILOT

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    The aim of this study was to understand age-differences in body control during stepping down by investigating free vertical moments (FVMs). Two older adults and two young adults participated in this study. During each trial, lower extremities kinematics were measured using a 10 camera Vicon system (250Hz) and ground reaction forces were recorded using two Kistler force platforms (1000Hz). FVM was calculated by ground reaction forces using Visual3D software. The results indicated young adults showed adduction-FVM (ADD-FVM) but older adults presented abduction-FVM (ABD-FVM) during double-stance phase. Older adults seemed to exert more ABD-FVM than young adults while in the single support phase. It was concluded that the FVMs seemed to point to different strategies between older adults and young adults

    An integrated analysis tool for analyzing hybridization intensities and genotypes using new-generation population-optimized human arrays

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    The cross-sample plot of the multipoint LOH/LCSH analyses of the three samples used in Fig. 5. The plot comprises four panels: (a) The top-left panel is a cross-sample and cross-chromosome plot. The vertical axis is the index of study samples, and the horizontal axis is the physical position (Mb) on each of the 23 chromosomes. The blue and red bars represent SNPs without and with LOH/LSCH, respectively. (b) The top-right panel is a histogram of cross-chromosome aberration frequency. The vertical axis is the index of study samples, and the horizontal axis is the cross-chromosome aberration frequency of the corresponding samples. The pink (skyblue) background represents that the genetic gender of a sample is female (male). The histogram represents the aberration frequency of LOH/LCSH SNPs across the chromosomes of the corresponding samples. (c) The bottom-left panel is a histogram of the cross-sample aberration frequency. The vertical axis is the cross-sample aberration frequency of a SNP, and the horizontal axis is the physical position (Mb) on each of the 23 chromosomes. The purple line represents the aberration proportion of samples carrying the SNPs with LOH/LCSH. (d) The bottom-right panel is the legend of the genetic gender that is used in panel (b), where the pink (skyblue) background represents that the genetic gender of a sample is female (male). (TIFF 1656 kb

    BIOMECHANICAL DIFFERENCES BETWEEN TAI-CHI PRACTICING AND ACTIVE ELDERLY DURING THE STAIR-TO-FLOOR TRANSITION

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    Long-term Tai-Chi practitioners tend to have similar movement to healthy adults and exhibit movement strategies that reduce fall risk during stair-to-floor transition. We aimed to assess the differences during stair descent to ground in Tai-Chi elderly practitioners and active elderly. Fourteen regular Tai-Chi practitioners and fourteen active elderly participated. Whole-body kinematics and ground reaction forces (GRFs) were recorded synchronously by using motion analysis and a force platform. A t-test was used to test the differences between the groups. Both descent and forward walking step length and center of mass (COM) velocity, both horizontal braking and propulsive force and impulse, ankle range of motion (ROM) and total work in the sagittal plane, and maximum hip moment in the frontal plane had significant differences. Our results appear to support the benefits of long-term Tai-Chi training during the stair-to-floor transition

    SAGITTAL AND FRONTAL LOWER LIMBS KINETICS DURING STEPPING DOWN IN TAICHI ELDERLY

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    The aim was to compare the kinetic characteristics of the beginning stance phase during stepping down in Taichi and normal elderly. Nine elderly taichi subjects and eleven matched controls participated in the study. Whole body kinematics and ground reaction forces (GRF) were recorded using 10 Vicon cameras (250Hz) and two Kistler force plates (1000Hz). Sagittal and frontal kinetic parameters were calculated by using Visual3D software. Differences in variables between groups were tested using t-test. The results indicated hip extensor / knee flexor / ankle plantarflexor / support moment and peak hip/knee/ankle power were greater in Taichi group. It was concluded that Taichi group has ability to translate forward movement (hip moment / power), to control body (knee moment /power) and to absorption energy (ankle moment / power) in sagittal plane

    Neural Network with Local Converging Input (NNLCI) for Supersonic Flow Problems with Unstructured Grids

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    In recent years, surrogate models based on deep neural networks (DNN) have been widely used to solve partial differential equations, which were traditionally handled by means of numerical simulations. This kind of surrogate models, however, focuses on global interpolation of the training dataset, and thus requires a large network structure. The process is both time consuming and computationally costly, thereby restricting their use for high-fidelity prediction of complex physical problems. In the present study, we develop a neural network with local converging input (NNLCI) for high-fidelity prediction using unstructured data. The framework utilizes the local domain of dependence with converging coarse solutions as input, which greatly reduces computational resource and training time. As a validation case, the NNLCI method is applied to study inviscid supersonic flows in channels with bumps. Different bump geometries and locations are considered to benchmark the effectiveness and versability of the proposed approach. Detailed flow structures, including shock-wave interactions, are examined systematically.Comment: 23 pages, 21 figure

    A Survey of Generative Information Retrieval

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    Generative Retrieval (GR) is an emerging paradigm in information retrieval that leverages generative models to directly map queries to relevant document identifiers (DocIDs) without the need for traditional query processing or document reranking. This survey provides a comprehensive overview of GR, highlighting key developments, indexing and retrieval strategies, and challenges. We discuss various document identifier strategies, including numerical and string-based identifiers, and explore different document representation methods. Our primary contribution lies in outlining future research directions that could profoundly impact the field: improving the quality of query generation, exploring learnable document identifiers, enhancing scalability, and integrating GR with multi-task learning frameworks. By examining state-of-the-art GR techniques and their applications, this survey aims to provide a foundational understanding of GR and inspire further innovations in this transformative approach to information retrieval. We also make the complementary materials such as paper collection publicly available at https://github.com/MiuLab/GenIR-Survey
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