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We study the effect of magnetic field on heavy quark-antiquark pair in both Einstein-Maxwell(EM) and Einstein-Maxwell-Dilaton(EMD) model. The interquark distance, free energy, entropy, binding energy and internal energy of the heavy quarkonium are calculated. It is found that the free energy suppresses and the entropy increases quickly with the increase of the magnetic field $B$. The binding energy vanishes at smaller distance when increasing the magnetic field, which indicates the quark-antiquark pair dissociates at smaller distance. The internal energy which consists of free energy and entropy will increase at large separating distance for non-vanishing magnetic field. These conclusions are consistent both in the EM and EMD model. Moreover, we also find that the quarkonium will dissociate easier in the parallel direction than that in the transverse direction for EMD model, but the conclusion is opposite in EM model. Lattice results are in favor of EMD model. Besides, a Coulomb-plus-linear potential(Cornell potential) can be realized only in EMD model. Thus, a dilaton field is proved to be important in holographic model. Finally, we also show that the free energy, entropy and internal energy of a single quark in EMD model with the presence of magnetic field., 21 pages, 13 figures

By the use of the gauge/gravity duality, we calculate the imaginary part of heavy quarkonium potential and thermal width with the effect of gluon condensate which is absent in AdS$_{5}$ background. Our results show that the dropping gluon condensate reduces the absolute value of imaginary potential and therefore decreases the thermal width both in "exact" and "approximate" approach implying that the heavy quarkonium has a weaker bound with the increase of gluon condensate. In addition, the thermal width will disappear at a critical condensate value, which indicates the dissociation of quarkonium. We conclude that increasing gluon condensate will lead to easier dissociation of heavy quarkonium for fixed temperature., 6 pages, 6 figures

By simulating the finite temperatures magnetized background in the RHIC and LHC energies, we systematically study the characteristics of thermal widths and potentials of heavy quarkonia. It is found that the magnetic field has less influence on the real potential, but has a significant influence on the imaginary potential, especially in the low deconfined temperature. Extracted from the effect of thermal worldsheet fluctuations about the classical configuration, the thermal width of $\Upsilon(1s)$ in the finite temperature magnetized background is investigated. It is found that at the low deconfined temperature the magnetic field can generate a significant thermal fluctuation of the thermal width of $\Upsilon(1s)$, but with the increase of temperature, the effect of magnetic field on the thermal width becomes less important, which means the effect of high temperature completely exceeds that of magnetic field and magnetic field become less important at high temperature. The thermal width decreases with the increasing rapidity at the finite temperature magnetized background. It is also observed that the effect of the magnetic field on the thermal width when dipole moving parallel to the magnetic field direction are larger than that moving perpendicular to the magnetic field direction, which implies that the magnetic field tends to enhance thermal fluctuation when dipole moving parallel to the direction of magnetic field. The thermal width of $\Upsilon(1S)$ hardly changes with the increasing temperature when dipole moving perpendicular to the magnetic field. But when dipole moving parallel to the magnetic field, the thermal width at low temperature is obviously larger than that at high temperature., Comment: 20 pages,7 figures

In order to solve the problems in manual analysis of regional talent demand, a quantitative analysis based on big data is proposed. Firstly, by locating expressive media of talent demand, target data sources are specified and then analysis objects defined as indices can be extracted. Secondly, indices and analysis types are classified according to functions, and then analysis solutions are presented aiming at different properties of indices. Finally, two visualization modes are provided for different users.

Wind power prediction is a key problem in optimizing power dispatching. This paper builds a wind power prediction model based on wavelet neural network which substitutes wavelet basis function for the transfer function of hidden layer. A missing data interpolation strategy is also given to improve the applicability of the model. With the wind farm data from southeast coast, the model works and the wind power in the next 30 hours is predicted. In the sense of the mean square errors this paper compared the prediction results of the model and BP neural network model, the results shows the models have a better accuracy.

To investigate the distribution of traditional Chinese medicine (TCM) Syndromes of diabetic retinopathy and explore the correlation between various symptoms. Based on the literature in databases of China Journal Full-text Database (CNKI), Wanfang database, VIP network, China biomedical literature database (CBM) and PubMed, SPSS 20.0 and IBM SPSS Modeler 14.1 software were used to analyze the location of disease, symptoms, tongue and pulse, and syndrome type distribution through frequency statistics. In addition, association rule algorithm was used to explore the basic rules for underlying symptoms combinations of diabetic retinopathy. A total of 560 articles were retrieved, and a total of 240 articles met the inclusion and exclusion criteria. In these documents, 62 types of TCM syndromes were found, involving 9 820 cases, 201 symptoms, 29 tongue conditions, and 36 pulses conditions; the first two locations for the disease were liver and kidney. Then the association rule analysis of high frequency symptoms was used to dig out 15 groups of latent syndrome, and 3 underlying symptom combinations among high frequency symptoms, tongue conditions and pulse conditions. The results of the study showed that Qi and yin deficiency was most common for the diabetic retinopathy, and the location of the disease was closely related to liver and kidney. In addition, these high-frequency symptoms and tongue conditions, pulse conditions, and underlying symptom combinations can occur as main symptoms at diagnosis, providing reference for us to study the epidemiology of PRO scale of the disease. They can also increase the weight of these symptoms directly as the main symptoms, which can be also used as an alternative entry pool for TCM syndrome diagnostic scale, laying foundation for the construction and optimization of TCM symptom database of diabetic retinopathy.

Contract execution and management is the core of project management, however contractors in China failed to fully recognize its importance. In the process of contract implementation, problems like oversimplified contract, lagging contracts modification, lagging vise engineering change and letter sending and so forth are very common, which all contribute to high risk and low efficiency in contracting engineering projects. The origin of these problems were analyzed and some practical solutions were put forward in this paper .

A kind of octanol-modifided silica nanoparticle was fabricated and employed as a framework to form "soggy sand" electrolyte along with 1-buty1-3-methylimidazolium tetrafluoroborate. "Soggy sand" and poly(vinylidene fluoride-hexafluoropropylene) composite electrolyte membranes were electrospun for the first time. The properties of this membrane electrolyte have been evaluated by the mechanical test and electrochemical test. The Young's modulus increased by 275% from 6.8 MPa to 25.5 MPa and the electrical conductivity increased to 7.6 x 10(-5) S/cm at 290.15 K when compared to pristine P(VdF-HFP) membrane electrolyte. The conductivity is 3.1 x 10(-4) S/cm at 323.15 K. (C) 2013 Gui-Tian Gao and Shu-Hua Ma. Published by Elsevier B.V. on behalf of Chinese Chemical Society. All rights reserved.

As a new technology, Atomil Force Microscopy (AFM) is being used in the research of microscopic structure on coal surface in recent years. By this technology, we can observe the nanoscale pore and crack shape of coal surface, and meas- ure some structural parameters. Different metamorphic grades produce different feature of surface microscopic structure of coal. This paper analyzes the surface microscopic structure of different metamorphic grade coal by AFM. The results show that the coal surface microstructure has a trend from rough to smooth with the increasing of metamorphic grade. The low rank coals contain large or medium pores and the high rank coals contain micro pores. The values of surface morphology characteristic parameters (Sq and Sa) nonlinearly decrease with the increasing coal rank. That is, the coal surface becomes smoother during coalification.

Composite nanofibrous electrolyte membranes (CFEM) of poly(vinylidene fluoride-hexafluoropropylene) P(VdF-HFP)-1-butyl-3-methylimidazolium tetrafluoroborate (BMIMBF4) and its NaSCN are electrospun as nanofibrous membranes. Scanning electron microscope (SEM) images clearly inform that electrospun CFEM and CFEM–NaSCN with average fiber diameters of 50–200 nm have interconnected multifibrous layers with ultrafine porous structures. They exhibited a high uptake of the electrolyte solution (370–880 %). The polymer electrolytes have decreased crystalline, which is advantage to the increase in ionic conductivity. In addition, polymer electrolytes also are prepared by swelling nanofibre into blend of sodium salt and BMIMBF4. CFEM obtained 15 % BMIMBF4 exhibited higher ionic conductivity maximum of 5.6 × 10−5 S cm−1 at room temperature, and the conductive model of CFEM–NaSCN electrolyte answer for Arrhenius function. CFEM–NaSCN electrolyte showed a high electrochemical window of above 4.5 V, which is higher than electrospun pure P(VdF-HFP) without BMIMBF4 or BMIMBF4–NaSCN. With these improved performance characteristics, CFEM electrolyte and CFEM–NaSCN electrolyte will be found its suitability as polymer electrolyte for high-performance rechargeable batteries and super capacitor.

This paper constructs function concept ontology for smart home to automate home service retrieval according to the functional properties. Firstly in order to construct function concept ontology, the function concept is divided into five categories by analyzing the lifecycle of information, and then each category is refined according to the ways the devices adopted. Then a scenario of audible alarm of gas detective is given to show the drawback of current retrieval mode. Finally an ontology-based architecture is proposed to present service registry, retrieval and invocation based on the function concept ontology.

In order to solve the syntax problem of service retrieval based on keywords, we present an Ontology-based solution for service registration and retrieval in this paper. Firstly we analyze the semantics of home service from different facets, and extract relative concepts of service to construct three domain ontologies including function ontology, content ontology and device ontology. Then, a model based on these domain ontologies has been presented. Finally the process from registration to retrieval is given in detail.

The microstructure and properties of 600MPa grade steels produced by isothermal treatment has been studied. The influence of isothermal treatment temperature on the microstructure of steels has been investigated by the aid of Optical microscopy and TEM. The results show that after various isothermal treatments the microstructure of steels varies with the isothermal temperature. When the temperature is lower than 530°C the microstructure is mainly composed of granular bainite and lath bainite. Whereas when the temperature is higher than 580°C the polygonal ferrite and quasi polygonal ferrite appears and the microstructure consists of ferrite and fine lath bainite. Since the microstructures are complex and the yield ratio of steels under these conditions are all lower than 0.8. The strength of sample for 630°C isothermal treatment is the highest. The yield strength is over than 800MPa and the tensile strength is over than 1000MPa due to the fine precipitates containing copper. These copper containing precipitates formed during the isothermal transformation by the way of inter-phase precipitation.

A survey of dairy goats for infection with Eimeria species of coccidia was conducted in the Shaanxi province, northwestern China between December and November 2010, including Saanen and Guanzhong breeds. A total of 584 fecal samples (250 and 334 from Saanen and Guanzhong dairy goats, respectively) in six farms were collected. Eimeria oocysts were seen in 568 (97.3%) fecal samples, with six species, namely Eimeria jolchijevi, Eimeria arloingi, Eimeria alijevi, Eimeria caprina, Eimeria hirci, and Eimeria christenseni. The most prevalent were E. arloingi in Saanen and Guanzhong dairy goats, with an overall prevalence of 83.3% and 84.4%, and the lowest prevalence were E. christenseni (26.9%) and E. hirci (20.7%) for Saanen and Guanzhong Dairy goats, respectively. Two or more Eimeria species were commonly presented in all the age groups; 80.0% and 81.4% of positive Saanen and Guanzhong dairy goats carried more than two species, and 1.6% and 6.5% of two breeds had six species. The results of the present survey suggested that Eimeria infection is wide and severe in the Saanen and Guanzhong dairy goats, which suggested that integrated strategies should be implemented to prevent and control coccidial infection in dairy goats in this province.

To analyze the prescription and medication regularities of traditional Chinese medicines in the treatment of melancholia in the Chinese journal full text database (CNKI), Wanfang Data knowledge service platform, VIP, Chinese biomedical literature database (CBM) in based on the traditional Chinese medicine inheritance support platform software, in order to provide reference for further mining traditional Chinese medicines for the treatment of melancholia and new drug development. The traditional Chinese medicine inheritance support platform software V2.0 was used to establish the prescription database of traditional Chinese medicines for treating melancholia. The software integrated data mining method was adopted to analyze four Qis, five flavors, meridian distribution, frequency statistics, syndrome distribution, composition regularity and new prescriptions. Totally 358 prescriptions for treating melancholia were analyzed to determine the frequency of prescription drugs, commonly used drug pairs and combinations and develop 22 new prescriptions. According to this study, prescriptions for treating depression collected in modern literature databases mainly have the effects in soothing liver and resolving melancholia, strengthening spleen and eliminating phlegm, activating and replenishing blood, regulating liver qi, tonifying spleen qi, clearing heat and purging heat, soothing the mind, nourishing yin and tonifying kidney, with neutral drug property and sweet or bitter flavor, and follow the melancholia treatment principle of "regulating qi and opening the mind, regulating qi and empathy".

To analyze the composition and medication regularities of prescriptions treating hypochondriac pain in Chinese journal full-text database (CNKI) based on the traditional Chinese medicine inheritance support system, in order to provide a reference for further research and development for new traditional Chinese medicines treating hypochondriac pain. The traditional Chinese medicine inheritance support platform software V2. 0 was used to build a prescription database of Chinese medicines treating hypochondriac pain. The software integration data mining method was used to distribute prescriptions according to "four odors", "five flavors" and "meridians" in the database and achieve frequency statistics, syndrome distribution, prescription regularity and new prescription analysis. An analysis were made for 192 prescriptions treating hypochondriac pain to determine the frequencies of medicines in prescriptions, commonly used medicine pairs and combinations and summarize 15 new prescriptions. This study indicated that the prescriptions treating hypochondriac pain in Chinese journal full-text database are mostly those for soothing liver-qi stagnation, promoting qi and activating blood, clearing heat and promoting dampness, and invigorating spleen and removing phlem, with a cold property and bitter taste, and reflect the principles of "distinguish deficiency and excess and relieving pain by smoothening meridians" in treating hypochondriac pain.

The prevalence of chlamydial infection in dairy goats in Shaanxi province, Northwestern China was determined by indirect hemagglutination antibody (IHA) on serum samples from 729 dairy goats (263 Saanen dairy goats and 466 Guanzhong dairy goats). Antibodies to Chlamydophila sp. were detected in 21 (2.88%) serum samples, with antibody titers ranging from 1:16 to 1:64. Seropositive goats were found only in three (Zhuangli town, Wangliao town and Yangling district) of the nine locations/herds examined in six counties. The prevalence of chlamydial infection was significantly related with locations/herds (χ2 = 54.36, P = 0.00) and breeds (χ2 = 56.50, P = 0.00). Both Saanen and Guanzhong dairy goats were positive for chlamydial infection, with higher seroprevalence in Saanen dairy goats (5.70%, 15/263) than that in Guanzhong dairy goat (1.29%, 6/466). The results of the present study indicate that more integrated strategies should be carried out to prevent and control chlamydiosis in goats in Shaanxi province. Key words : Seroprevalence, chlamydial infection, dairy goats, Shaanxi Province, Northwestern China.

This paper is innovatively to develop a new hybrid performance evaluation method in the literature of assessing the digital resources serving performances. The proposed method employs the hierarchical evaluation method based on fuzzy rules and artificial neural networks. The proposed method integrates the fuzzy logic and the artificial neural networks, which overcomes the shortcomings of redundant fuzzy rules. The evaluation index system is determined based on the universal principle and the research fruits of the former scholars home and abroad. We build a fuzzy neural network evaluation model to achieve the final evaluation goal of the digital resources. In addition, to evaluate the performance of the proposed approach, we compare its results with GRA-BPN model. The experimental results demonstrated that the proposed approach has higher accuracy and execution efficiency.

Word sense disambiguation is a crucial problem in natural language processing. While sense disambiguation of in-vocabulary words is well studied to date, few research findings are yet available concerning the prediction of unknown words' sense. In this paper, we attempt to exploit multiple features for predicting sense of Chinese out-of-vocabulary words in real text. To this end, we first take morpheme as the basic component units of Chinese words and thus investigate the relationship between Chinese unknown words' senses and their internal morphological structures. Then, we explore both word internal cues and word external contextual features, and combine them for sense prediction of Chinese unknown words using maximum entropy modeling. Our experimental results show that the incorporation of multiple features, especially the word-internal morphological features are of great value to Chinese unknown word sense prediction.

A Q-learning based network selection algorithm is proposed which is derived from the autonomy of network selection. It is based on the heterogeneous network composed of WiMax and HSDPA. The algorithm can constantly adjust its strategy for action selection according to network load conditions, traffic attribute and mobility of terminal by the constantly trial and error learning with wireless environment. Finally a suitable network can be selected for every session. Simulation results show that system blocking probability can be lowered and spectrum utility can be increased.

The title compound, {[Mn(2)(C(7)H(3)NO(4))(2)(C(2)H(5)OH)(H(2)O)(2)]·H(2)O}(n), is a three-dimensional polymer. There are two symmetry-independent Mn(II) centres with different coordination environments: one Mn(II) atom is coordinated by four O atoms from four ligands and two N atoms from two ligands, the other Mn(II) atom is coordinated by three O atoms from two ligands, two water O atoms and the O atom of an ethanol mol-ecule. The crystal structure is stabilized by O-H⋯O hydrogen bonds.