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Search Results: 1 - 10 of 20725 matches for " Xin Dongmei "
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A Hilbert-Type Integral Inequality in the Whole Plane with the Homogeneous Kernel of Degree 2
Xin Dongmei,Yang Bicheng
Journal of Inequalities and Applications , 2011,
Abstract: By applying the way of real and complex analysis and estimating the weight functions, we build a new Hilbert-type integral inequality in the whole plane with the homogeneous kernel of degree 2 involving some parameters and the best constant factor. We also consider its reverse. The equivalent forms and some particular cases are obtained.
A Hilbert-Type Integral Inequality in the Whole Plane with the Homogeneous Kernel of Degree 2
Dongmei Xin,Bicheng Yang
Journal of Inequalities and Applications , 2011, DOI: 10.1155/2011/401428
Changes of 2015 WHO Histological Classification of Lung Cancer ?and the Clinical Significance
Xin YANG, Dongmei LIN
- , 2016, DOI: : 10.3779/j.issn.1009-3419.2016.06.06
Abstract: Due in part to remarkable advances over the past decade in our understanding of lung cancer, particularly in area of medical oncology, molecular biology, and radiology, there is a pressing need for a revised classification, based not on pathology alone, but rather on an integrated multidisciplinary approach to classification of lung cancer. The 2015 World Health Organization (WHO) Classification of Tumors of the Lung, Pleura, Thymus and Heart has just been published with numerous important changes from the 2004 WHO classification. The revised classification has been greatly improved in helping advance the field, increasing the impact of research, improving patient care and assisting in predicting outcome. The most significant changes will be summarized in this paper as follows: (1) main changes of lung adenocarcinoma as proposed by the 2011 International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society (IASLC/ATS/ERS) classification, (2) reclassifying squamous cell carcinomas into keratinizing, nonkeratinizing, and basaloid subtypes with the nonkeratinizing tumors requiring immunohistochemistry proof of squamous differentiation, (3) restricting the diagnosis of large cell carcinoma only to resected tumors that lack any clear morphologic or immunohistochemical differentiation with reclassification of the remaining former large cell carcinoma subtypes into different categories, (4) grouping of neuroendocrine tumors together in one category, (5) and the current viewpoint of histologic grading of lung cancer.
PCR Detection of the Three Neofabraea Pathogenic Species Responsible for Apple Bull’s Eye Rot  [PDF]
Dongmei Cao, Xin Li, Jijuan Cao, Weifang Wang
Advances in Microbiology (AiM) , 2013, DOI: 10.4236/aim.2013.31009

Apple bull’s eye rot is caused by pathogenic Neofabraea species including N. malicorticis, N. perennans and N. alba. Fruits carrying this fungal quarantine disease are prohibited from entering China. The host plants for the pathogens include several Rosaceae fruits including apple and pear. Disease symptoms and pathogen morphology are often insufficient to determine the identity of the pathogen, particularly at the species level. In the current study, we analyzed the inter-species sequence variations in the β-tublin gene, and designed specific primers to allow PCR amplification of 554 bp fragments from pathogenic Neofabraea species. The PCR products were recovered and sequenced, and Blast search was conducted using the DNA sequences in the Genbank database. The results indicated precise PCR amplification of the target sequences from the host pathogen, which allowed unambiguous identification of the species.

Diagnosis for ALK Positive Non-small Cell Lung Cancer
Qin FENG, Xin YANG, Dongmei LIN
- , 2015, DOI: : 10.3779/j.issn.1009-3419.2015.02.02
Abstract: The anaplastic lymphoma kinase (ALK) gene rearrangement is a driver gene of non-small cell lung cancer (NSCLC). Positive expression of ALK gene rearrangement has been considered a molecular subtype of NSCLC, that there are special pathological characteristics and clinical prognosis. Furthermore, the tyrosine kinase inhibitor has demonstrated high effective in treating ALK positive NSCLC patients. Thus making molecular diagnostic testing for ALK expression is an important step in the process of pathological diagnosis. Currently, many detecting ALK expression assays are available or in development, clinical pathologists focus on how to choose the best method for routine diagnosis of lung cancer. There are many domestic and international authoritative guidelines recommend ALK detecting assays, technological process and relative standard. In the current review, we summarize the diagnostic tests available and the special sample types that could be used to identify patients with ALK-positive NSCLC.
A Novel Flexible Room Temperature Ethanol Gas Sensor Based on SnO2 Doped Poly-Diallyldimethylammonium Chloride
Shuang Zhan,Dongmei Li,Shengfa Liang,Xin Chen,Xia Li
Sensors , 2013, DOI: 10.3390/s130404378
Abstract: A novel flexible room temperature ethanol gas sensor was fabricated and demonstrated in this paper. The polyimide (PI) substrate-based sensor was formed by depositing a mixture of SnO 2 nanopowder and poly-diallyldimethylammonium chloride (PDDAC) on as-patterned interdigitated electrodes. PDDAC acted both as the binder, promoting the adhesion between SnO 2 and the flexible PI substrate, and the dopant. We found that the response of SnO 2-PDDAC sensor is significantly higher than that of SnO 2 alone, indicating that the doping with PDDAC effectively improved the sensor performance. The SnO 2-PDDAC sensor has a detection limit of 10 ppm at room temperature and shows good selectivity to ethanol, making it very suitable for monitoring drunken driving. The microstructures of the samples were examined by scanning electron microscopy (SEM), X-ray diffraction (XRD), transmission electron microscope (TEM) and Fourier transform infrared spectra (FT-IR), and the sensing mechanism is also discussed in detail.
Sensor Scheduling Algorithm Target Tracking-Oriented  [PDF]
Dongmei Yan, Jinkuan Wang
Wireless Sensor Network (WSN) , 2011, DOI: 10.4236/wsn.2011.38030
Abstract: Target tracking is a challenging problem for wireless sensor networks because sensor nodes carry limited power recourses. Thus, scheduling of sensor nodes must focus on power conservation. It is possible to extend the lifetime of a network by dynamic clustering and duty cycling. Sensor Scheduling Algorithm Target Tracking-oriented is proposed in this paper. When the target occurs in the sensing filed, cluster and duty cycling algorithm is executed to scheduling sensor node to perform taking task. With the target moving, only one cluster is active, the other is in sleep state, which is efficient for conserving sensor nodes’ limited power. Using dynamic cluster and duty cycling technology can allocate efficiently sensor nodes’ limited energy and perform tasks coordinately.
Analysis on the Characteristics of Wind Power Output in Hainan Power Grid  [PDF]
Jianfeng Wang, Dongmei Zhao
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B076
Abstract: It is of great importance to study the characteristics of wind power output for the healthy and secure & stable of power grid. Based on the actual operating data, the probability distribution of the power fluctuations of the wind farm in Hainanand the variation of wind power annual, seasonal, daily active output is analyzed. The study showed thatHainanProvincehas obvious seasonal variation of wind power output characteristics, higher levels of output of the year generally in winter or summer, spring and autumn to contribute small. The average wind power output will contribute to “low day and high night”, with certain peaking capacity. Shorter time scales, changes in the wind power to smaller amount, not to bring too much impact on system operation, while a long time fluctuations affect the scheduling and running on the grid.
Optimal Spinning Reserve for Power System with Wind Integrated  [PDF]
Longlong Li, Dongmei Zhao
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B193

This paper presents an evolutionary stochastic production simulation to solve the optimal spinning reserve configuration problem in power system with wind integrated. Equivalent load curve is generated with considering the wind power forecasting deviation and generation scheduling of hydropower plant in different water periods. The equivalent load duration curve (ELDC), redrawn from equivalent load curve is the core of stochastic production simulation which focuses on random outage of generator and load fluctuation. The optimal spinning reserve model is established around the reliability index Expected Energy Not Served (ENNS). The optimal scheduling of spinning reserve is reached while the cost of purchasing spinning reserve is equal to the outage loss. At last, results of the optimal spinning reserve model tested in Hainan power grid help reduce the costs of spinning reserve configuration.

An Optimal Dynamic Generation Scheduling for a Wind-Thermal Power System  [PDF]
Xingyu Li, Dongmei Zhao
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B194

In this paper, a dynamic generation scheduling model is formulated, aiming at minimizing the costs of power generation and taking into account the constraints of thermal power units and spinning reserve in wind power integrated systems. A dynamic solving method blended with particle swarm optimization algorithm is proposed. In this method, the solution space of the states of unit commitment is created and will be updated when the status of unit commitment changes in a period to meet the spinning reserve demand. The thermal unit operation constrains are inspected in adjacent time intervals to ensure all the states in the solution space effective. The particle swarm algorithm is applied in the procedure to optimize the load distribution of each unit commitment state. A case study in a simulation system is finally given to verify the feasibility and effectiveness of this dynamic optimization algorithm.

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