1,976 research outputs found

    Low-Cost Solution for RFID Tags in Terms of Design and Manufacture

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    THE CHANGE OF KNEE KINEMATICS AFTER ANTERIOR CRUCIATE LIGAMENT DEFICIENCY AND RECONSTRUCTION DURING LANDING

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    The purpose of this study were to evaluate the different of knee kinematics analysis after ACLD and ACLR during landing performances. The participants were instructed to finish counter moment jump (CMJ) with arms free 5 times as hard as possible with Vicon motion system and two force platforms. The ACLD showed a significant less knee flexion degree at the peak vertical GRF compared with others. Our founding was similar to the present studies; the impulse during landing among three groups was almost the same, but the RF EMG showed lower after two ACL groups, especially in ACLD

    Local minima in quantum systems

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    Finding ground states of quantum many-body systems is known to be hard for both classical and quantum computers. As a result, when Nature cools a quantum system in a low-temperature thermal bath, the ground state cannot always be found efficiently. Instead, Nature finds a local minimum of the energy. In this work, we study the problem of finding local minima in quantum systems under thermal perturbations. While local minima are much easier to find than ground states, we show that finding a local minimum is computationally hard for classical computers, even when the task is to output a single-qubit observable at any local minimum. In contrast, we prove that a quantum computer can always find a local minimum efficiently using a thermal gradient descent algorithm that mimics the cooling process in Nature. To establish the classical hardness of finding local minima, we consider a family of two-dimensional Hamiltonians such that any problem solvable by polynomial-time quantum algorithms can be reduced to finding ground states of these Hamiltonians. We prove that for such Hamiltonians, all local minima are global minima. Therefore, assuming quantum computation is more powerful than classical computation, finding local minima is classically hard and quantumly easy.Comment: 9+80 pages, 4 figure

    The Enterprise Risk Management of Foreign Exchange Exposures: Evidence from Taiwanese Hospitality Industry

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    For this paper, I use the ARIMA model to study the relationship between business performance and exchange rate fluctuations. Through this model, the empirical results shows that the influences of foreign exchange rate fluctuations on the tourist hotel business performance are significant and different across currencies and firms. Furthermore, according to the framework of Kim (2013) we employ the modern portfolio theory proposed by Markowitz (1952) to give an optimal foreign exchange allocation for each tourist hotel company's financial decision-makers, which will avoid the risk of exchange rate fluctuations expose and reduce losses due to the fluctuations of exchange rates, and complete the construction of enterprise risk management system (ERM)

    Diabetes and Health Outcomes Among Older Taiwanese with Hip Fracture

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    Abstract Objective: Hip fracture tremendously impacts functional abilities for the elderly with high morbidity and mortality; recovery is compromised by co-morbidities. Diabetes mellitus is a common co-morbidity for the aging population, but little is known about the influence of diabetes on outcomes of the Asian elderly with hip fracture. Research Design and Methods: This study was a secondary analysis of data on 242 community-dwelling elders with hip fracture from three previous longitudinal studies. Sixty-one cases (25.2%) had diabetes. Outcomes were measured by the Chinese Barthel Index, Medical Outcomes Study Short Form-36 Taiwan version, and analyzed by the generalized estimating equation approach to examine how diabetes influenced hip-fractured elders' mortality, service utilization, mobility, daily activities, and health-related quality of life during the first 12 months after postsurgical discharge in Taiwan. Results: Hip-fractured elderly with diabetes had a significantly higher mortality rate (22.6% vs. 10.3%, p=0.03) during the first year following discharge, and significantly higher readmission rate (10.0% vs. 2.5%, p=0.04) from the first to third month following discharge than those without diabetes. After controlling for covariates, elderly participants without diabetes had an overall 2.2 times (confidence interval [CI]=1.15?4.21) greater odds of recovery in walking ability and better reported general health (?=9.33; p=0.01) and physical functioning (?=7.26; p=0.02) than those with diabetes during the first year after discharge. Conclusions: Diabetes negatively influenced outcomes of elderly patients with hip fracture. The results may provide a reference for developing interventions for hip-fractured elders with diabetes.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/98472/1/rej%2E2011%2E1308.pd

    Authenticity Preservation with Histogram-Based Reversible Data Hiding and Quadtree Concepts

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    With the widespread use of identification systems, establishing authenticity with sensors has become an important research issue. Among the schemes for making authenticity verification based on information security possible, reversible data hiding has attracted much attention during the past few years. With its characteristics of reversibility, the scheme is required to fulfill the goals from two aspects. On the one hand, at the encoder, the secret information needs to be embedded into the original image by some algorithms, such that the output image will resemble the input one as much as possible. On the other hand, at the decoder, both the secret information and the original image must be correctly extracted and recovered, and they should be identical to their embedding counterparts. Under the requirement of reversibility, for evaluating the performance of the data hiding algorithm, the output image quality, named imperceptibility, and the number of bits for embedding, called capacity, are the two key factors to access the effectiveness of the algorithm. Besides, the size of side information for making decoding possible should also be evaluated. Here we consider using the characteristics of original images for developing our method with better performance. In this paper, we propose an algorithm that has the ability to provide more capacity than conventional algorithms, with similar output image quality after embedding, and comparable side information produced. Simulation results demonstrate the applicability and better performance of our algorithm

    Cytotoxicity in the Age of Nano: The Role of Fourth Period Transition Metal Oxide Nanoparticle Physicochemical Properties

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    A clear understanding of physicochemical factors governing nanoparticle toxicity is still in its infancy. We used a systematic approach to delineate physicochemical properties of nanoparticles that govern cytotoxicity. The cytotoxicity of fourth period metal oxide nanoparticles (NPs): TiO2, Cr2O3, Mn2O3, Fe2O3, NiO, CuO, and ZnO increases with the atomic number of the transition metal oxide. This trend was not cell-type specific, as observed in non-transformed human lung cells (BEAS-2B) and human bronchoalveolar carcinoma-derived cells (A549). Addition of NPs to the cell culture medium did not significantly alter pH. Physiochemical properties were assessed to discover the determinants of cytotoxicity: (1) point-of-zero charge (PZC) (i.e., isoelectric point) described the surface charge of NPs in cytosolic and lysosomal compartments; (2) relative number of available binding sites on the NP surface quantified by X-ray photoelectron spectroscopy was used to estimate the probability of biomolecular interactions on the particle surface; (3) band-gap energy measurements to predict electron abstraction from NPs which might lead to oxidative stress and subsequent cell death; and (4) ion dissolution. Our results indicate that cytotoxicity is a function of particle surface charge, the relative number of available surface binding sites, and metal ion dissolution from NPs. These findings provide a physicochemical basis for both risk assessment and the design of safer nanomaterials

    Effects of epidural compression on stellate neurons and thalamocortical afferent fibers in the rat primary somatosensory cortex

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    A number of neurological disorders such as epidural hematoma can cause compression of cerebral cortex. We here tested the hypothesis that sustained compression of primary somatosensory cortex may affect stellate neurons and thalamocortical afferent (TCA) fibers. A rat model with barrel cortex subjected to bead epidural compression was used. Golgi‑Cox staining analyses showed the shrinkage of dendritic arbors and the stripping of dendritic spines of stellate neurons for at least 3 months post‑lesion. Anterograde tracing analyses exhibited a progressive decline of TCA fiber density in barrel field for 6 months post‑lesion. Due to the abrupt decrease of TCA fiber density at 3 days after compression, we further used electron microscopy to investigate the ultrastructure of TCA fibers at this time. Some TCA fiber terminal profiles with dissolved or darkened mitochondria and fewer synaptic vesicles were distorted and broken. Furthermore, the disruption of mitochondria and myelin sheath was observed in some myelinated TCA fibers. In addition, expressions of oxidative markers 3‑nitrotyrosine and 4‑hydroxynonenal were elevated in barrel field post‑lesion. Treatment of antioxidant ascorbic acid or apocynin was able to reverse the increase of oxidative stress and the decline of TCA fiber density, rather than the shrinkage of dendrites and the stripping of dendritic spines of stellate neurons post‑lesion. Together, these results indicate that sustained epidural compression of primary somatosensory cortex affects the TCA fibers and the dendrites of stellate neurons for a prolonged period. In addition, oxidative stress is responsible for the reduction of TCA fiber density in barrels rather than the shrinkage of dendrites and the stripping of dendritic spines of stellate neurons
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