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Study on Electromagnetic Transient Condition of EMU Passing by Phase-separation with Electric Load in High-speed Railway  [PDF]
Xiaoxu Guo, Jianzhong Wei, Long Xu, Shibin Gao, Zhengqing Han
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B202
Abstract:

Aiming at the complex electromagnetic transient process of EMU passing by phase-separation with electric load in high-speed railway, mechanism of overvoltage caused by switching off, overvoltage caused by switching on and impact current is analyzed systematically in this article. π-type equivalent circuit of feeding section is put forward in the analysis of overvoltage mechanism. Overvoltage and overcurrent model of passing by phase-separation with electric load are also built. Correctness of mechanism was validated by simulation. In addition, the methods to solve the influence on substations, transformers and protection devices in this process are put forward, which provides a new idea on passing by phase-separation with electric load technology.

Library paper system on net design and realization
网上图书馆论文系统的设计与实现

Gao Long,
高龙

计算机系统应用 , 2006,
Abstract: 本文介绍针对图书馆的论文管理和服务的需要,采用标准J2EE平台,使用XML作为数据交换格式,采用SQLServer 2000作为后台数据库,来完成一个具有论文的采编、管理、检索、查阅等功能的网上图书馆论文系统的设计与实现。
Criteria of Wiener Type for Minimally Thin Sets and Rarefied Sets Associated with the Stationary Schr?dinger Operator in a Cone
Pinhong Long,Zhiqiang Gao,Guantie Deng
Abstract and Applied Analysis , 2012, DOI: 10.1155/2012/453891
Abstract: We give some criteria for a-minimally thin sets and a-rarefied sets associated with the stationary Schrödinger operator at a fixed Martin boundary point or ∞ with respect to a cone. Moreover, we show that a positive superfunction on a cone behaves regularly outside an a-rarefied set. Finally we illustrate the relation between the a-minimally thin set and the a-rarefied set in a cone.
Novel Class of Microstrip Bandpass Filters with Improved Upper Rejection Band
Yun Long Lu;Gao-Le Dai
PIER C , 2012, DOI: 10.2528/PIERC12031411
Abstract: In this paper, we present a novel class of microstrip bandpass filters with improved upper rejection band. The proposed filters are composed of two half-wavelength resonators and two shortended microstrip feed lines for input and output. Using voltagewave analysis, we examine the resonance and coupling properties at harmonic frequencies. It is found that different combinations of the feed line and the resonator with proper selection of the coupling regions can suppress spurious responses. Benefiting from this approach, two single-band and one dual-band bandpass filters are designed, fabricated and measured. Simulated and measured results indicate that the upper rejection bands of the proposed filters are increased up to near thirdand fifth-order harmonics, respectively. And the rejection level during the stop-bands is kept below 20 dB.
Multi-Analyte Network Markers for Tumor Prognosis
Jongkwang Kim, Long Gao, Kai Tan
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0052973
Abstract: Deregulation of gene expression, a hallmark of cancer, is caused by both genetic and epigenetic mechanisms. The rapid accumulation of epigenome maps of various cancers suggests a new avenue of research, namely integrating epigenomic data with other types of omic data for cancer diagnosis, prognosis, and biomarker discovery. We introduce the MAPIT algorithm (Multi Analyte Pathway Inference Tool), to enable principled integration of epigenomic, transcriptomic, and protein interactome data. As a proof-of-principle, we apply MAPIT to glioblastoma multiforme (GBM), the most common and aggressive form of brain tumor. Few predictive markers were reported for the prognosis of GBM patients. By integrating mRNA transcriptome, promoter DNA methylome and protein-protein physical interactome, we find ten expression- and three methylation-based network markers, involving 118 genes. When tested on additional GBM patient samples, the prognostic accuracy of the multi-analyte network markers (73.5%) is 9.7% and 8.6% higher than previous prognostic signatures built on gene expression or DNA methylation alone. Our results highlight the critical role of two novel pathways in the prognosis of GBM patients, small GTPase-mediated protein trafficking and ubiquitination-dependent protein degradation. A better understanding of these two pathways could lead to personalized therapies for subgroups of GBM patients. Our study demonstrates that integrating epigenomic, transcriptomic, and interactomic data can improve the accuracy network-based prognosis markers and lead to novel mechanistic understanding of cancer.
Scaling Laws for Overlaid Wireless Networks: A Cognitive Radio Network vs. a Primary Network
Changchuan Yin,Long Gao,Shuguang Cui
Mathematics , 2008,
Abstract: We study the scaling laws for the throughputs and delays of two coexisting wireless networks that operate in the same geographic region. The primary network consists of Poisson distributed legacy users of density n, and the secondary network consists of Poisson distributed cognitive users of density m, with m>n. The primary users have a higher priority to access the spectrum without particular considerations for the secondary users, while the secondary users have to act conservatively in order to limit the interference to the primary users. With a practical assumption that the secondary users only know the locations of the primary transmitters (not the primary receivers), we first show that both networks can achieve the same throughput scaling law as what Gupta and Kumar [1] established for a stand-alone wireless network if proper transmission schemes are deployed, where a certain throughput is achievable for each individual secondary user (i.e., zero outage) with high probability. By using a fluid model, we also show that both networks can achieve the same delay-throughput tradeoff as the optimal one established by El Gamal et al. [2] for a stand-alone wireless network.
Criterions of Wiener type for minimally thin sets and rarefied sets associated with the stationary Schr?dinger operator in a cone
Pinhong Long,Zhiqiang Gao,Guantie Deng
Mathematics , 2012,
Abstract: In the paper we give some criterions for a-minimally thin sets and a-rarefied sets associated with the stationary Schr\"odinger operator at a fixed Martin boundary point or {\infty} with respect to a cone. Moreover, we show that a positive superfunction on a cone behaves regularly outside a-rarefied set. Finally we illustrate the relation between a-minimally thin set and a-rarefied set in a cone.
The Magnetoresistance of Nanostructured Co-ZnO Films with ZnO Buffer-Layers  [PDF]
Xiaoli Li, Long Cheng, Long Cheng, Yalei Wang, Yan Gao, Zhiyong Quan, Xiufang Qin, Harry J. Blythe, Gillian A. Gehring, Xiaohong Xu
Materials Sciences and Applications (MSA) , 2014, DOI: 10.4236/msa.2014.514101
Abstract: Co-ZnO films were prepared on oxidised silicon by magnetron sputtering at room temperature both with and without a ZnO buffer-layer. The Co-ZnO films consisted of Co particles dispersed in a semiconductor matrix. The combination of a Co-ZnO layer and a ZnO buffer-layer has a higher magnetoresistance than the Co-ZnO layer alone on an insulating Si substrate. The causes of this effect were investigated using X-ray photoelectron spectroscopy, depth profiling using Auger electron spectroscopy and electrical resistance as well as measurements of the change in the saturation magnetisation, the field cooled- and zero field cooled-magnetisation. This work has shown clearly what criteria are needed to optimise the magnetoresistance and how these conditions may be met by adding a buffer-layer thus making granular films based on ZnO more suitable for applications as field sensors.
Stable Plastid Transformation for High-Level Recombinant Protein Expression: Promises and Challenges
Meili Gao,Yongfei Li,Xiaochang Xue,Xianfeng Wang,Jiangang Long
Journal of Biomedicine and Biotechnology , 2012, DOI: 10.1155/2012/158232
Abstract: Plants are a promising expression system for the production of recombinant proteins. However, low protein productivity remains a major obstacle that limits extensive commercialization of whole plant and plant cell bioproduction platform. Plastid genetic engineering offers several advantages, including high levels of transgenic expression, transgenic containment via maternal inheritance, and multigene expression in a single transformation event. In recent years, the development of optimized expression strategies has given a huge boost to the exploitation of plastids in molecular farming. The driving forces behind the high expression level of plastid bioreactors include codon optimization, promoters and UTRs, genotypic modifications, endogenous enhancer and regulatory elements, posttranslational modification, and proteolysis. Exciting progress of the high expression level has been made with the plastid-based production of two particularly important classes of pharmaceuticals: vaccine antigens, therapeutic proteins, and antibiotics and enzymes. Approaches to overcome and solve the associated challenges of this culture system that include low transformation frequencies, the formation of inclusion bodies, and purification of recombinant proteins will also be discussed.
Developing a microfluidic-based system to quantify cell capture efficiency
Fan Yang,YuXin Gao,Yan Zhang,Juan Chen,Mian Long
Science China Life Sciences , 2009, DOI: 10.1007/s11427-009-0017-4
Abstract: Micro-fabrication technology has substantial potential for identifying molecular markers expressed on the surfaces of tissue cells and viruses. It has been found in several conceptual prototypes that cells with such markers are able to be captured by their antibodies immobilized on microchannel substrates and unbound cells are flushed out by a driven flow. The feasibility and reliability of such a microfluidic-based assay, however, remains to be further tested. In the current work, we developed a microfluidic-based system consisting of a microfluidic chip, an image grabbing unit, data acquisition and analysis software, as well as a supporting base. Specific binding of CD59-expressed or BSA-coupled human red blood cells (RBCs) to anti-CD59 or anti-BSA antibody-immobilized chip surfaces was quantified by capture efficiency and by the fraction of bound cells. Impacts of respective flow rate, cell concentration, antibody concentration and site density were tested systematically. The measured data indicated that the assay was robust. The robustness was further confirmed by capture efficiencies measured from an independent ELISA-based cell binding assay. These results demonstrated that the system developed provided a new platform to effectively quantify cellular surface markers effectively, which promoted the potential applications in both biological studies and clinical diagnoses.
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