270 research outputs found

    American fantasies of China and the Chinese: Constructing China and its people in Hollywood Films to 1949

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    This thesis analyses the characteristics of and influences upon constructions of China and the people of China in American feature films from c. 1910 until after the end of World War II. Chapter 1 addresses the derogatory representations of China and the Chinese created in American popular culture (especially print media) against a backcloth from the 1870s of increasingly vehement anti-Chinese sentiment. During the late nineteenth century, similar unfavourable images of Chinese people also emerged in theatrical productions. Chapter 2 analyses the filmic representations of China and the Chinese produced in the 1910s and 1920s and their connections with traditional media (both print and theatrical), also exploring the historical context within which these early films were produced. Chapters 3 and 4 investigate Hollywood’s China/Chinese constructions in the 1930s, a period during which the movie industry itself experienced major changes, including the beginning of effective self-regulation and financial difficulties brought by the Great Depression. Chapter 3 analyses the growing 1930s attention to China as a cinematic subject, portraying it as an exciting locale and its people as exotic beings (e.g. Manchurians, warlords). Chapter 4, however, argues that, despite the efforts of the Production Code Administration and the active role played by Chinese diplomats in attempting to influence Hollywood’s representation of their country and people, traditional unfavourable images remained largely constant until World War II. Chapter 5 analyses wartime propaganda films, which changed and subverted these unfavourable constructions of the Chinese. The Federal government began to intervene in the film industry after the creation of the Office of War Information in 1942, and many sympathetic – if unrealistic – portrayals of China on screen become prevalent. This chapter reviews these changing constructions yet concludes that, though seemingly more positive in their representations of China, they were in reality still influenced by earlier prejudices and stereotypes

    Determination of Volatile Compounds of Illicium verum Hook. f. Using Simultaneous Distillation-Extraction and Solid Phase Microextraction Coupled with Gas Chromatography-Mass Spectrometry

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    Purpose: To determine the characteristic aromatic constituents of star anise (Illicium verum Hook. f.) and identify its main aroma compounds for sensory evaluation.Methods: The volatile compounds of star anise were prepared by simultaneous distillation-extraction (SDE) and the compounds were identified by gas chromatography-mass spectroscopy (GC-MS). The flavor compounds were confirmed by gas chromatography-olfactometry (GC-O). Their flavor dilution factor (FD) values were determined using aroma extract dilution analysis (AEDA). Finally, standard samples that meet the requirements for sensory evaluation were extracted by the solid-phase microextraction (SPME) to further validate characteristic aroma molecules.Results: Forty seven compounds were confirmed, with trans-anethole, estragole, and anisaldehyde the main aroma components. The content of trans-anethole was the highest (75.76 %), followed by linalool (1.44 %). Limonene (1.01 %) and 4’- ethoxypropiophenone (0.72 %) were the lowest.Conclusion: Combining SDE coupled with AEDA and SPME coupled with GC-MS is beneficial for identifying characteristic aroma compounds for star anise, such as trans-anethole, linalool and limonene in terms of FD value. The findings may be useful for star anise quality control in the food industry.Keywords: Aroma, Flavor dilution factor (FD value), Gas chromatography-olfactometry, Simultaneous distillation-extraction, Sensory evaluation, Star anise, Illicium verum, Trans-anethole, Linaloo, Limonen

    MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo

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    Significant strides have been made in enhancing the accuracy of Multi-View Stereo (MVS)-based 3D reconstruction. However, untextured areas with unstable photometric consistency often remain incompletely reconstructed. In this paper, we propose a resilient and effective multi-view stereo approach (MP-MVS). We design a multi-scale windows PatchMatch (mPM) to obtain reliable depth of untextured areas. In contrast with other multi-scale approaches, which is faster and can be easily extended to PatchMatch-based MVS approaches. Subsequently, we improve the existing checkerboard sampling schemes by limiting our sampling to distant regions, which can effectively improve the efficiency of spatial propagation while mitigating outlier generation. Finally, we introduce and improve planar prior assisted PatchMatch of ACMP. Instead of relying on photometric consistency, we utilize geometric consistency information between multi-views to select reliable triangulated vertices. This strategy can obtain a more accurate planar prior model to rectify photometric consistency measurements. Our approach has been tested on the ETH3D High-res multi-view benchmark with several state-of-the-art approaches. The results demonstrate that our approach can reach the state-of-the-art. The associated codes will be accessible at https://github.com/RongxuanTan/MP-MVS

    A Survey of Lower Limb Rehabilitation Systems and Algorithms Based on Functional Electrical Stimulation

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    Functional electrical stimulation is a method of repairing a dysfunctional limb in a stroke patient by using low-intensity electrical stimulation. Currently, it is widely used in smart medical treatment for limb rehabilitation in stroke patients. In this paper, the development of FES systems is sorted out and analyzed in a time order. Then, the progress of functional electrical stimulation in the field of rehabilitation is reviewed in details in two aspects, i.e., system development and algorithm progress. In the system aspect, the development of the first FES control and stimulation system, the core of the lower limb-based neuroprosthesis system and the system based on brain-computer interface are introduced. The algorithm optimization for control strategy is introduced in the algorithm. Asynchronous stimulation to prolong the function time of the lower limbs and a method to improve the robustness of knee joint modeling using neural networks. Representative applications in each of these aspects have been investigated and analyzed

    Efficacy of Qigong Exercise for Treatment of Fatigue: A Systematic Review and Meta-Analysis

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    Objective: Several studies suggested that Qigong exercise (QE) can relieve fatigue in patients diagnosed with various diseases. Our review aimed to evaluate the efficacy of QE for alleviating fatigue.Methods: A related literature search was performed in the PubMed, Web of Science, Embase, Cochrane Library, China Biology Medicine disc (CBM), China National Knowledge Infrastructure (CNKI), Wanfang, and VIP data bases from inception to November 2020. Information on fatigue, malaise, tiredness, and Qigong research data was collected.Results: Sixteen randomized controlled trials (RCTs) were reported in patients with cancer (n = 4), chronic fatigue syndrome (n = 2), and other diseases (n = 10). The QE groups showed significant improvements in total fatigue intensity [15 RCTs, p < 0.00001; standard mean difference (SMD) −0.69 (−0.95 to −0.44)]. The QE groups did not show significant improvement in quality of life [4 RCTs, p = 0.08; SMD 0.53 (−0.07 to 1.14)]. The statistically significant difference of the subgroup analyses (different primary diseases, QE types, and study quality) also remained unchanged.Conclusion: The findings of this meta-analysis indicate that QE may be beneficial for improving fatigue in patients diagnosed with various diseases. Considering the limitations of the study, we draw a very cautious conclusion regarding the resulting estimate of the effect. Further studies are warranted to better understand the benefits of QE in primary medical care

    Efficient Approximation Algorithms for Adaptive Seed Minimization

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    As a dual problem of influence maximization, the seed minimization problem asks for the minimum number of seed nodes to influence a required number η\eta of users in a given social network GG. Existing algorithms for seed minimization mostly consider the non-adaptive setting, where all seed nodes are selected in one batch without observing how they may influence other users. In this paper, we study seed minimization in the adaptive setting, where the seed nodes are selected in several batches, such that the choice of a batch may exploit information about the actual influence of the previous batches. We propose a novel algorithm, ASTI, which addresses the adaptive seed minimization problem in O(η⋅(m+n)Δ2ln⁥n)O\Big(\frac{\eta \cdot (m+n)}{\varepsilon^2}\ln n \Big) expected time and offers an approximation guarantee of (ln⁥η+1)2(1−(1−1/b)b)(1−1/e)(1−Δ)\frac{(\ln \eta+1)^2}{(1 - (1-1/b)^b) (1-1/e)(1-\varepsilon)} in expectation, where η\eta is the targeted number of influenced nodes, bb is size of each seed node batch, and Δ∈(0,1)\varepsilon \in (0, 1) is a user-specified parameter. To the best of our knowledge, ASTI is the first algorithm that provides such an approximation guarantee without incurring prohibitive computation overhead. With extensive experiments on a variety of datasets, we demonstrate the effectiveness and efficiency of ASTI over competing methods.Comment: A short version of the paper appeared in 2019 International Conference on Management of Data (SIGMOD '19), June 30--July 5, 2019, Amsterdam, Netherlands. ACM, New York, NY, USA, 18 page

    Phase diagram of superconducting vortex ratchet motion in a superlattice with noncentrosymmetry

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    Ratchet motion of superconducting vortices, which is a directional flow of vortices in superconductors, is highly useful for exploring quantum phenomena and developing superconducting devices, such as superconducting diode and microwave antenna. However, because of the challenges in the quantitative characterization of the dynamic motion of vortices, a phase diagram of the vortex ratchet motion is still missing, especially in the superconductors with low dimensional structures. Here we establish a quantitative phase diagram of the vortex ratchet motion in a highly anisotropic superlattice superconductor, (SnS)1.17NbS2, using nonreciprocal magnetotransport. The (SnS)1.17NbS2, which possesses a layered atomic structure and noncentrosymmetry, exhibits nonreciprocal magnetotransport in a magnetic field perpendicular and parallel to the plane, which is considered a manifest of ratchet motion of superconducting vortices. We demonstrated that the ratchet motion is responsive to current excitation, magnetic field and thermal perturbation. Furthermore, we extrapolated a giant nonreciprocal coefficient ({\gamma}), which quantitatively describes the magnitude of the vortex ratchet motion, and eventually established phase diagrams of the ratchet motion of the vortices with a quantitative description. Last, we propose that the ratchet motion originates from the coexistence of pancake vortices (PVs) and Josephson vortices (JVs). The phase diagrams are desirable for controlling the vortex motion in superlattice superconductors and developing next-generation energy-efficient superconducting devices

    Relationship between biofilm formation and antibiotic resistance of Klebsiella pneumoniae and updates on antibiofilm therapeutic strategies

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    Klebsiella pneumoniae is a Gram-negative bacterium within the Enterobacteriaceae family that can cause multiple systemic infections, such as respiratory, blood, liver abscesses and urinary systems. Antibiotic resistance is a global health threat and K. pneumoniae warrants special attention due to its resistance to most modern day antibiotics. Biofilm formation is a critical obstruction that enhances the antibiotic resistance of K. pneumoniae. However, knowledge on the molecular mechanisms of biofilm formation and its relation with antibiotic resistance in K. pneumoniae is limited. Understanding the molecular mechanisms of biofilm formation and its correlation with antibiotic resistance is crucial for providing insight for the design of new drugs to control and treat biofilm-related infections. In this review, we summarize recent advances in genes contributing to the biofilm formation of K. pneumoniae, new progress on the relationship between biofilm formation and antibiotic resistance, and new therapeutic strategies targeting biofilms. Finally, we discuss future research directions that target biofilm formation and antibiotic resistance of this priority pathogen
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