4,141 research outputs found

    Ethical Dilemma and Nihilism in Munro\u27s Passion

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    In their article Ethical Dilemma and Nihilism in Munro\u27s \u27Passion\u27 Xiying Liu and Hongbin Dai discuss ethical issues in Alice Munro\u27s short story Passion. When attempting to escape the shackles of multiple ethical identities, the short story\u27s protagonist Grace encounters dilemmas and in consequence makes wrong decisions with regard to the principle of ethics. The other protagonist of the story, Neil, commits suicide demonstrating that he breaks off all relationship with the world. Liu and Dai argue that Neil\u27s death deconstructs Grace\u27s ethical dilemmas and thus the narrative constructs a sense of nihilism. Liu and Dai posit that Munro\u27s short story reveals the humility, fragility, and complexity of human nature

    Morphological studies and molecular data on a new marine ciliate, Apokeronopsis sinica n. sp. (Ciliophora: Urostylida), from the South China Sea

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    Liu, Weiwei, Li, Jiqiu, Gao, Shan, Shao, Chen, Gong, Jun, Lin, Xiaofeng, Liu, Hongbin, Song, Weibo (2009): Morphological studies and molecular data on a new marine ciliate, Apokeronopsis sinica n. sp. (Ciliophora: Urostylida), from the South China Sea. Zootaxa 2005 (1): 57-66, DOI: 10.11646/zootaxa.2005.1.5, URL: http://dx.doi.org/10.11646/zootaxa.2005.1.

    FIGURES 1–4 in Four new Chlaenius species (Coleoptera: Carabidae: Chlaeniini) from Asia and a key to the species of subgenus Chlaenioctenus

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    FIGURES 1–4. Chlaenius cheni sp. n. 1, Holotype, male, dorsal view. 2, Holotype, male, ventral view. 3, Paratype, female, dorsal view. 4, Paratype, female, ventral view. Scale bar = 5.0 mm.Published as part of Liu, Ye, Shi, Hongliang & Liang, Hongbin, 2013, Four new Chlaenius species (Coleoptera: Carabidae: Chlaeniini) from Asia and a key to the species of subgenus Chlaenioctenus, pp. 505-518 in Zootaxa 3630 (3) on page 507, DOI: 10.11646/zootaxa.3630.3.6, http://zenodo.org/record/526176

    Simulation of rail wheel axle bearing vibration due to local damages on outer races

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    This paper presents a dynamic model of bearings that simulates the vibration of rail wheel bearings due to local damages such as pits on the bearing outer race. The model, based on the multi-body simulation software RecurDyn, integrates the major parts of the functionalities according to the three-dimensional model and railway axle dynamic system. Three types of surface damages on the raceway of cylindrical roller bearings were designed and evaluated by the dynamic model developed in this study. The results show that the dynamic model can effectively simulate the influence of the damages on the bearing vibration under varied pit shape and size. Furthermore, the model can predict the level of bearing damage based on the peak value of bearing vibration in the frequency domai

    Ground Beetle (Coleoptera: Carabidae) Diversity and Body-Size Variation in Four Land Use Types in a Mountainous Area Near Beijing, China

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    Zhang, Xin, Zhao, Guishen, Zhang, Xuzhu, Li, Xiao, Yu, Zhenrong, Liu, Yunhui, Liang, Hongbin (2017): Ground Beetle (Coleoptera: Carabidae) Diversity and Body-Size Variation in Four Land Use Types in a Mountainous Area Near Beijing, China. The Coleopterists Bulletin 71 (2): 402-412, DOI: 10.1649/0010-065X-71.2.402, URL: http://dx.doi.org/10.1649/0010-065x-71.2.40

    FIGURES 26–28 in Key to species of the subgenus Chlaenioctenus (Coleoptera: Carabidae: Chlaeniini: Chlaenius), with description of two new species

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    FIGURES 26–28. Mentum of Chlaenius (Chlaenioctenus) species. 26) C. piligenys, holotype. 27) C. rotundithorax, holotype. 28) C. pectinipes, holotype. Scale line = 1.0 mmPublished as part of Liu, Ye, Liang, Hongbin, Kavanaugh, David H. & Yang, Maofa, 2010, Key to species of the subgenus Chlaenioctenus (Coleoptera: Carabidae: Chlaeniini: Chlaenius), with description of two new species, pp. 15-28 in Zootaxa 2397 on page 24, DOI: 10.5281/zenodo.19398

    sj-pdf-1-imr-10.1177_03000605221089503 - Supplemental material for MicroRNAs as potential biomarkers for the diagnosis of inflammatory bowel disease: a systematic review and meta-analysis

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    Supplemental material, sj-pdf-1-imr-10.1177_03000605221089503 for MicroRNAs as potential biomarkers for the diagnosis of inflammatory bowel disease: a systematic review and meta-analysis by Lina Sun, Yanan Han, Hua Wang, Huanyu Liu, Shan Liu, Hongbin Yang, Xiaoxia Ren and Ying Fang in Journal of International Medical Research</p

    Supplemental Material - Effect of Physiotherapy Interventions on Motor Symptoms in People With Parkinson’s Disease: A Systematic Review and Meta-Analysis

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    Supplemental Material for Effect of Physiotherapy Interventions on Motor Symptoms in People with Parkinson’s Disease: A Systematic Review and Meta-Analysis by Yajie Yang, Yang Wang, Tianzi Gao, Abudurousuli Reyila, Jiaxin Liu, Jiajia Liu, and Hongbin Han in Biological Research For Nursing</p

    FIGURE 4 in Morphological studies and molecular data on a new marine ciliate, Apokeronopsis sinica n. sp. (Ciliophora: Urostylida), from the South China Sea

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    FIGURE 4. Unmatched sites from SSrRNA gene sequences alignment. Numbers represent the positions of the nucleotides. Missing sites are compensated by gaps (-). Matched sites are marked with dots (.).Published as part of &lt;i&gt;Liu, Weiwei, Li, Jiqiu, Gao, Shan, Shao, Chen, Gong, Jun, Lin, Xiaofeng, Liu, Hongbin &amp; Song, Weibo, 2009, Morphological studies and molecular data on a new marine ciliate, Apokeronopsis sinica n. sp. (Ciliophora: Urostylida), from the South China Sea, pp. 57-66 in Zootaxa 2005 (1)&lt;/i&gt; on page 63, DOI: 10.11646/zootaxa.2005.1.5, &lt;a href="http://zenodo.org/record/10093145"&gt;http://zenodo.org/record/10093145&lt;/a&gt

    Predictive spatio-temporal modelling with neural networks

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    Hongbin Liu studied the predictive spatio-temporal modelling using Neural Networks. Predictive spatio-temporal modelling is a challenge task due to the complex non-linear spatio-temporal dependencies, data sparsity and uncertainty. Hongbin Liu investigated the modelling difficulties and proposed three novel models to tackle the difficulties for three common spatio-temporal datasets. He also conducted extensive experiments on several real-world datasets for various spatio-temporal prediction tasks, such as travel mode classification, next-location prediction, weather forecasting and meteorological imagery prediction. The results show our proposed models consistently achieve exceptional improvements over state-of-the-art baselines
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