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Search Results: 1 - 10 of 37890 matches for " Jin Xie "
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Magnetic Nanoparticle-Based Theranostics
Jin Xie, Sangyong Jon
Theranostics , 2012,
Abstract: This theme issue provides a timely collection of studies on magnetic nanoparticle-based imaging, bio-sensing, therapy and/or their combinations.
Development of Manganese-Based Nanoparticles as Contrast Probes for Magnetic Resonance Imaging
Zipeng Zhen, Jin Xie
Theranostics , 2012,
Abstract: MRI is one of the most important imaging tools in clinics. It interrogates nuclei of atoms in a living subject, providing detailed delineation with high spatial and temporal resolutions. To compensate the innate low sensitivity, MRI contrast probes were developed and widely used. These are typically paramagnetic or superparamagnetic materials, functioning by reducing relaxation times of nearby protons. Previously, gadolinium(Gd)-based T1 contrast probes were dominantly used. However, it was found recently that their uses are occasionally associated with nephrogenic system fibrosis (NSF), which suggests a need of finding alternatives. Among the efforts, manganese-containing nanoparticles have attracted much attention. By careful engineering, manganese nanoparticles with comparable r1 relaxivities can be yielded. Moreover, other functionalities, be a targeting motif, a therapeutic agent or a second imaging component, can be loaded onto these nanoparticles, resulting in multifunctional nanoplatforms.
Stochastic Modeling and Estimation of Market Volatilities with Applications in Financial Forecasting
Jin Zheng,Dejun Xie
International Journal of Statistics and Probability , 2012, DOI: 10.5539/ijsp.v1n1p7
Abstract: This paper aims to provide a framework for modeling and estimating the implied volatilities of stock prices using stochastic processes. The CIR (Cox-Ingersoll-Ross) model is proposed to capture the mean reversion characteristic as shown in the movement of the daily implied volatilities of the S$&$P 500 Index and Nikkei 225 Index. The maximum likelihood procedure is applied to estimate the parameters appearing in the model, where both analytical and approximation techniques are sought to handle the difficulties arising from the corresponding optimization problem. The procedure is validated with varying sampling methods by setting different time horizons and observation intervals. Results from numerical experiments show that the stochastic volatility model proposed in this paper functions well in both the US and Japan markets. As one of the applications, our approach is tested to be effective in detecting jumps in likelihood ratios, hence useful for forecasting stock market shocks and crisis.
The Evolution of Competitive Intelligence in China
Xinzhou Xie,Xuehui Jin
Journal of Intelligence Studies in Business , 2011,
Abstract: Following landmark events during different historic periods, this paper divides the evolution of competitive intelligence (CI) in China into three main stages: CI introduction, CI localization and CI self-conscious marketization. Studies of CI developments are made based on five main aspects of the overall CI industry in China, including their historical skeleton of development, achievements and problems identified. Finally a forecast for the future development of CI in China is presented.
Color and Kinematic Interference Influence on the Probability of Color Singlet Chain States
Yi Jin,Qubing Xie
Physics , 2001,
Abstract: In popular event generators of high energy reaction, the large Nc, the number of color approximation is implied, which reduces the possible interference effects, and the probability of color singlet chain reaches to about 100%. In $Nc=3$ real world, we show that not only the color interference decreases this probability to 83%, 77%, 72%, $...$, respectively to $n=2$, 3, 4, $...$, {in the process of}$e^+e^-{\longrightarrow}q\bar {q}+ng$ final state, but also the accompanying kinematic interference exists, which decreases this probability to about 67%, 58%, $...$, further. In the meanwhile, we fin d that the kinematic interference makes the probability of color separate singlet states increases synchronously. Combing and analyzing above facts, we infer that the probability of color singlet chain states in high energy ${e^+e^-}{\longrightarrow}{h's}$ reaction would be much smaller than 100%, which is commonly accepted. And the fraction of other color connec tion states, $e.g.$, color separate singlet states should be significant.
The Implementation of Electronic Intelligent Tag System Based on Wireless Sensor Network  [PDF]
Kai Yu, Zhijun Xie, Jiangbo Qian, Guang Jin
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.51B010
Abstract: Recently, Wireless Sensor Network (WSN) has been widely applied in many fields. In this paper, we design and implement a WSN-based Electronic Intelligent Tag System (EITS) to provide intelligent management of the modern supermarkets. As a main transceiver, nRF24L01+ wireless module is used in this system, which will make it possible to achieve low-power and low-cost for EITS. This system fully embodies the advantages and characteristics of WSN. This paper will introduce the system architecture, hardware structure and software design in details; and put forward a specific solution. Finally, we achieve the intelligent management of the mall based on wireless sensor network technology.
Diaquabis(5-carboxy-1H-pyrazole-3-carboxylato-κ2N2,O3)cobalt(II) dihydrate
Hui-Dong Xie,Li Jin,Cheng-Zhi Xie
Acta Crystallographica Section E , 2009, DOI: 10.1107/s1600536809029456
Abstract: In the title complex, [Co(C5H3N2O4)2(H2O)2]·2H2O, the CoII ion lies on an inversion center and is coordinated in a distorted octahedral environment. In the crystal structure, complex and water molecules are linked into a three-dimensional network by O—H...O and N—H...O hydrogen bonds.
Sensitive Colorimetric and Fluorescent Detection of Mercury Using Fluorescein Derivations  [PDF]
Zhihui Xie, Fangjun Huo, Jing Su, Yutao Yang, Caixia Yin, Xuxiu Yan, Shuo Jin
Open Journal of Applied Biosensor (OJAB) , 2012, DOI: 10.4236/ojab.2012.13006
Abstract: A colorimetric and fluorometric dual-model probe for mercury (II) ion was developed employing fluorescein hydrazide (FH) in ethanol-HEPES solution (1:1, v/v, pH 8.0). The probe exhibited high selectivity and sensitivity for Hg2+ detection using UV/Vis and fluorescence spectroscopy. Addition of Hg2+ caused a visual color change from colorless to coloured and a fluorescence change from colorless to bright green. Other metal ions did not interfere with the detection of Hg2+.
Partial and Full Arc Volumetric Modulated Arc Therapy in Lung Cancer Stereotactic Body Radiotherapy with Different Definitions of Internal Target Volume Based on 4D CT  [PDF]
Wu Wang, Didi Chen, Ce Han, Xiaomin Zheng, Yongqiang Zhou, Changfei Gong, Congying Xie, Xiance Jin
International Journal of Medical Physics,Clinical Engineering and Radiation Oncology (IJMPCERO) , 2018, DOI: 10.4236/ijmpcero.2018.74042
Abstract: Purpose: To investigate the feasibility of partial arc volumetric modulated arc therapy (VMAT) in lung cancer stereotactic body radiotherapy (SBRT), as well the volumetric and dosimetric effects of different internal target volume (ITV) definitions with 4D CT. Methods: Fourteen patients with primary and metastatic lung cancer underwent SBRT were enrolled. Full and partial arc VMAT plans were generated with four different ITVs: ITVall, ITVMIP, ITVAIP and ITV
Evolutionary versatility of eukaryotic protein domains revealed by their bigram networks
Xueying Xie, Jing Jin, Yongyi Mao
BMC Evolutionary Biology , 2011, DOI: 10.1186/1471-2148-11-242
Abstract: A survey of 77 completely sequenced eukaryotic genomes implies a potential hierarchical and modular organization of biological functions in most living organisms. Domains in a genome or multiple genomes are modeled as a network of hetero-duplex covalent linkages, termed bigrams. A novel computational technique is introduced to decompose such networks, whereby the notion of domain "networking versatility" is derived and measured. The most and least "versatile" domains (termed "core domains" and "peripheral domains" respectively) are examined both computationally via sequence conservation measures and experimentally using selected domains. Our study suggests that such a versatility measure extracted from the bigram networks correlates with the adaptivity of domains during evolution, where the network core domains are highly adaptive, significantly contrasting the network peripheral domains.Domain recombination has played a major part in the evolution of eukaryotes attributing to genome complexity. From a system point of view, as the results of selection and constant refinement, networks of domain linkage are structured in a hierarchical modular fashion. Domains with high degree of networking versatility appear to be evolutionary adaptive, potentially through functional innovations. Domain bigram networks are informative as a model of biological functions. The networking versatility indices extracted from such networks for individual domains reflect the strength of evolutionary selection that the domains have experienced.Domains are the structural units of proteins that can independently fold and exert catalytic or binding activities. The majority of proteins are composed of one or more domains, with the exception of certain unstructured polypeptides. It has been widely recognized, for example, in the Structural Classification of Proteins (SCOP) database, that domains are also evolutionary units which have undergone duplication and recombination [1]. Domain shuffling/r
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