1,727,485 research outputs found
Ceremony - Cong Li, Hui Li, Li Li
No full textLL.M. graduatesCong Li, Hui Li, and Li Li receive their hoods.https://scholarship.kentlaw.iit.edu/commencement_2013/1072/thumbnail.jp
Dishes on the menu: Turning Historic Menu into Menu Network
No full textAbstract of paper 0583 presented at the Digital Humanities Conference 2019 (DH2019), Utrecht , the Netherlands 9-12 July, 2019
Prediction of airborne noise inside railway vehicles
No full textRailway vehicles are important means of transportation and vital to the public. However, the noise within railway vehicles is an important aspect that can affect the passengers’ and train crew’s comfort. High interior noise can be attributed to strong external noise sources and insufficient sound insulation by the train wall structures. To predict the interior noise is challenging. Existing approaches such as the finite and boundary element (FE/BE) method or statistic energy analysis (SEA) are not suitable for a wide frequency spectrum solution and are either of high computational cost or of low accuracy. The aim of this thesis is to develop a comprehensive modelling approach to predict the interior airborne noise of modern railway vehicles, taking into account different noise sources and transmission paths as well as the complexity of the car body structure. An approach is presented for modelling the noise propagation beneath the train floor and this is applied to rolling noise sources by assuming that the sound incident on the train floor is made up of a direct and a reverberant component. An equivalent source model is used to represent the direct component, and SEA model is used for the reverberant part. The sound power of the rolling noise is obtained by using the TWINS model. A wavenumber-domain boundary element (2.5D BE) approach is adopted to predict the propagation of rolling noise to the train external surfaces. Comparisons are made with measurements showing good agreement. Noise propagation from the pantograph to the train external surfaces is studied considering the influence of flow on the sound propagation. The total sound power from the pantograph is calculated based on the component-based approach and a database of factors of influence created by previous researchers. The 2.5D BE method is again employed to calculate the relevant sound propagation. The influence of flow on the sound propagation is modelled either by a uniform mean flow or by allowing for the variation of velocity through the turbulent boundary layer. Laboratory experiments and the ray tracing approach verified the 2.5D models for predicting the pantograph noise propagation. To calculate the noise transmission through extruded train wall structures, use is made of a 2.5D FE/BE model and an SEA model. The 2.5D FE model is used to study the bending waves in the extruded panel to calibrate the input parameters for the SEA model. With the aid of such a calibration using the 2.5D FE model, the SEA model can give good quality predictions of the sound transmission loss and radiation efficiency of the extruded panel in comparison with the measurements. Finally, an overall framework is provided to predict the airborne noise inside railway vehicles, in which another SEA model is created for the interior space of the train. The power input to the interior SEA model is determined from the incident sound power on the train external surfaces. The framework of interior noise prediction is verified against measurements on a metro train. It is found that the predictions agree reasonably well with the measurements in terms of sound spectra and overall sound pressure levels
Injury episodes and circumstances : National Health Interview Survey, 1997-2007
Full text linkby Li Hui Chen, Margaret Warner, Lois Fingerhut, and Diane Makuc, Office of Analysis and Epidemiology.Includes bibliographical references.Chen LH, Warner M, Fingerhut L, Makuc D. Injury episodes and circumstances: National Health Interview Survey, 1997-2007. National Center for Health Statistics. Vital Health Stat 10(241). 2009.20091125
Genetic Engineering Methods in Primary T Cells
No full textGenetic engineering in primary T cells is gaining traction in the context of gene therapy and cell therapy, with studies aiming to either induce gene expression/correction, gene inhibition, or a combination of both. These genetic modifications can be achieved using a variety of methods, each with its own advantages and limitations. Also, primary T cell genomes can be edited stably, leading to permanent changes, via methods such as lentiviral transduction and CRISPR; and they can also be edited transiently, using tools such as mRNA transfection, to induce only temporary expression or inhibition of genes. While each of these methods possesses their own characteristics that distinguish them from each other, they also face obstacles in their usage in primary T cells. In this review, the principles and mechanisms behind these gene manipulation tools, as well as their advantages and potential limitations, are discussed.
Morbidity and Mortality Weekly Report (MMWR)
No full textIn 2012, a total of 41,502 drug Poisoning deaths, 34,935 motor vehicle traffic deaths, and 33,563 firearm deaths occurred. The age-adjusted death rate for drug Poisoning more than quadrupled from 3.0 per 100,000 in 1979 to 13.1 in 2012. In contrast, the age-adjusted rate dropped from 22.1 to 10.9 for motor vehicle traffic deaths and from 14.7 to 10.5 for firearm deaths during this period. The age-adjusted drug Poisoning death rate exceeded the motor vehicle traffic death rate beginning in 2009.Source: CDC WONDER, compressed Mortality file, underlying cause-of-death, available at http://wonder.cdc.gov/mortsql.html.Reported by: Li-Hui Chen, PhD; Andrew Fenelon
Intra-provincial Fiscal Disparities and the Role of the Provincial Transfer System in China: A Case Study of Henan Province
No full textPublic Finance and Management182137-167United State
Research-led educational renewal and economic-cultural convergence
No full textThe 'Queensland Model' grew out of three convergent agendas: educational renewal, urban redevelopment, and the Queensland state government's 'Smart State' strategy
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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