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Au nanoparticle-decorated Dy2(WO4)3 nanocomposites were prepared by reduction of HAuCl4 on the surface of Dy2(WO4)3 nanobelts which were synthesized by hydrothermal method. The formation of nanocomposites was confirmed by transmission electron microscopy (TEM), energy dispersive spectroscopy (EDS) and UV-vis absorption spectroscopy. Au-Dy2(WO4)3 based electrochemical sensor was fabricated by spreading Au-Dy2(WO4)3 aqueous solution on the surface of glassy carbon electrode (GCE) and investigated by cyclic voltammetry (CV) and differential pulse voltammetry (DPV) methods. The prepared sensor exhibited excellent electrocatalytic activity, stability, reproducibility and selectivity with well-separated oxidation peaks toward the electrooxidation of uric acid (UA) and nitrite (NO2−). Electrochemical determination of these two biomolecules in their mixture solution showed linear responses in the ranges of 0.04–1.0 mmol/L with a detection limit of 15 μmol/L for UA, and 0.01–1.0 mmol/L with a detection limit of 3.5 μmol/L for NO2−. The sensor can be applied in determination of UA and NO2− in human urine samples.

Mobile crowd sensing (MCS) is a novel sensing paradigm which can sense human-centered daily activities and the surrounding environment. The impact of mobility and selfishness of participants on the data reliability cannot be ignored in most mobile crowd sensing systems. To address this issue, we present a universal system model based on the reverse auction framework and formulate the problem as the Multiple Quality Multiple User Selection (MQMUS) problem. The quality-aware incentive mechanism (QAIM) is proposed to meet the quality requirement of data reliability. We demonstrate that the proposed incentive mechanism achieves the properties of computational efficiency, individual rationality, and truthfulness. And meanwhile, we evaluate the performance and validate the theoretical properties of our incentive mechanism through extensive simulation experiments.

Objective: To analyze the effect of Fuzheng Xiaoliu decoction combined with paclitaxel treatment of advanced breast cancer on the prognosis as well as tumor marker levels, immune function and so on. Methods: A total of 40 patients with advanced breast cancer were randomly divided into observation group and control group (n=20), control group received conventional chemotherapy + paclitaxel treatment and observation group received conventional chemotherapy + paclitaxel + Fuzheng Xiaoliu decoction treatment. The survival of two groups of patients was followed up, and serum levels of tumor markers and sex hormones as well as immune function indexes were determined. Results: Progression-free survival and overall survival of observation group were longer than those of control group; after one course of treatment, serum VEGF-A, TK1, IGF-1, CerbB-2, CEA, CA15-3, CA125, E1 and E2 levels of observation group were significantly lower than those of control group while LH and FSH levels were significantly higher than those of control group; CD3+ CD4+ , CD8+ CD28+ , CD19+ and CD16+ CD56+ expression levels in peripheral blood of observation group were significantly higher than those of control group while CD4+ CD25+ and CD8+ CD28- expression levels were significantly lower than those of control group. Conclusion: Fuzheng Xiaoliu decoction combined paclitaxel treatment of advanced breast cancer can reduce tumor malignancy and improve the body's immune function, and is of positive significance in optimizing treatment prognosis.

CFRS (Collaborative Filtering Recommendation System) is one of the most widely used individualized recommendation systems. However, CFRS is susceptible to shilling attacks based on profile injection. The current research on shilling attack mainly focuses on the recognition of false user profiles, but these methods depend on the specific attack models and the computational cost is huge. From the view of item, some abnormal item detection methods are proposed which are independent of attack models and overcome the defects of user profiles model, but its detection rate, false alarm rate and time overhead need to be further improved. In order to solve these problems, it proposes an abnormal item detection method based on time window merging. This method first uses the small window to partition rating time series, and determine whether the window is suspicious in terms of the number of abnormal ratings within it. Then, the suspicious small windows are merged to form suspicious intervals. We use the rating distribution characteristics (RAR (Ratio of Abnormal Rating), ATIAR (Average Time Interval of Abnormal Rating), DAR(Deviation of Abnormal Rating) and DTIAR (Deviation of Time Interval of Abnormal Rating) in the suspicious intervals to determine whether the item is subject to attacks. Experiment results on the MovieLens 100K data set show that the method has a high detection rate and a low false alarm rate.

Energy supply of nodes in a Delay Tolerant Sensor Network (DTSN) usually relies on batteries, and the energy consumption unbalance caused by complicated topology and intermittent communication links has been becoming an issue for routing protocol design. DTSN achieves opportunistic communications using the mobility of nodes, where nodes deliver messages by the mechanism of Storage-Carry-Forward. This paper proposes an Energy-Efficient Routing Protocol based on Probability in DTSN (a.b. EERPP), where each sensor node takes a number of neighbors as the node list of its potential receiver set. A node makes its routing decision according to the metric of the average energy consumption for a message arriving at the destination node, which is modeled based on the probability of a message successfully delivered from the source node to the destination node or dropped before arriving at the destination node. Simulation results and discussions show that EERPP algorithm achieves satisfactory energy efficiency, as well as acceptable delay in a large scale network, compared with some traditional protocols.

Single-crystalline Mn3O4 nanoflakes were grown on manganese sheets by one-step thermal oxidation process at 360–500 °C in ambient atmosphere. The samples were characterized by scanning electron microscope (SEM), X-ray diffraction (XRD), Raman and transmission electron microscope (TEM). The nanoflakes with a size of 15–20 nm in thickness, ~60 nm in width, and ~210 nm in length are obtained at 360 °C for 24 h. A surface diffusion mechanism is proposed to explain the growth of manganese oxide nanostructures via thermal oxidation, which includes two steps: manganese oxide (MnO/Mn3O4) layers form firstly, and then Mn3O4 nanostructures grow above the upper metal oxide layer to form multi-layered structures, MnO/Mn3O4/Mn3O4–nanoflakes. The nucleation and growth of Mn3O4 nanostructures are related to the surface energy and different growth rates along different crystal directions, which are controlled by the diffusion of the metal and gas molecule.

Based on mass real data with the method of statistical experiment, this paper attempts to take the winning rate, annual rate of return and net profit margin as the management objectives for the comparative analysis on the strengths and weaknesses of the four systems of RSI, BIAS, KDJ and W&R among the securities trading software through testing, the results of which show that RSI expert system is the best one with its overall testing results superior to other anti-trend expert systems (MA, MACD, MTM). So it is suggested that investors should choose only RSI expert system.

Ith the method of empirical analysis, based on the huge amounts of real data opened by securities market, through testing the expert system of securities trading software MTM, MACD and MA, with odds, annual returns and net profit margin as management goals, statistical theory as research basis, comparatively analyzed the advantages and disadvantages of the three systems. Except for annual transaction times of number, MA expert system is slightly better than the MACD expert system; while MA expert system, no matter in odds, net profit margin or in annual returns, trading opportunities, is better than that of MTM expert system in all-round way.

Feeding habits of Oxygymnocypris stewartii were investigated based on monthly sampling in the Yarlung Zangbo River from August 2008 to August 2009. The gut contents of 194 individuals were analysed and quantified with numerical and gravimetric methods. This species can be considered a generalized and opportunistic predator feeding both on teleosts and aquatic insects. A multivariate analysis revealed noticeable variation in O. stewartii diet composition with fish size and season. The smaller specimens fed primarily on Cobitidae and Hydropsychidae. As they grew, Cyprinidae and Chironomidae larvae became important prey. The preferred food items were teleosts in summer and autumn. For winter and spring, the predominant prey switched to chironomidae larvae. Diet composition did not significantly vary between the sexes. Finally, a significant and positive correlation between predator and prey length was found. These findings provide the fundamental information better understanding the role of this important endemic species in the Yarlung Zangbo River food web.

This paper presents tests and comparisons between SAR and BOLL, tow security transaction expert systems, through statistical experiments, with the wining rate, annual rate of return and net profit rate as the management objectives, on basis of the mass data generated by the security market; the results suggest a ratio among the wining rate, annual return rate and net profit rate of the two as 0.876, 0.936 and 0.936 respectively, and the yearly numbers of transactions of SAR is 3.7 times more than that of BOLL. The lower rate of SAR is, as believed, a result of the higher transaction cost of it comparing with BOLL.

This paper presents tests security transaction BOLL expert systems, through statistical experiments, with the wining rate, annual rate of return and net profit rate as the management objectives, on basis of the mass data generated by the security market; The results show that win rate value of BOLL expert system as high as 88.95%, and annual rate of return and net profit rate are 33.37% and 13.9% respectively. Compared with RSI expert system, the transaction times are only 52.09% of RSI expert system, which should be the true reason why the rate of turn of BOLL expert system is not high.

Using the method of statistical experiment and based on real and open data of securities, the research conducted a test to the W&R and RSI expert system of securities trading software. Taking annual net profit margin, rate of return, and win rate as the management objectives, the research compared and analyzed the two similar reversal trend indicators on the basis of mathematic statistics theories, and achieved results that the annual rate of return and net profit margin of the RSI expert system are superior to that of the W&R expert system for 4.72 times, and that the annual number of trades of RSI is superior to that of W&R for 0.893 times.

According to extensive quantity of public and factual data, this essay does tests on BIAS and W&R expert system of stock-market trading software in simulation experiment method, and compares their strength and weakness in the respect of mathematical statistics theory and Management objects, winning rate, annual return rate and net profit rate. The tests show that BIAS expert system is 2.58 times as good as W&R expert system in the items of annual return rate and net profit rate, 0.26 times in the item of the total number of trading. As a whole, BIAS expert system is superior to W&R expert system.

Based on the public and actual massive data of securities market, through testing the MA and RSI expert system of securities trading software by simulation experiment method, with the winning percentage, the annual rate of return, and the net profit margin as the management objectives, and with the theory of mathematical statistics as the research basis, the article carried out the comparative analysis of strength and weakness of these two systems. Except the annual transaction number, RSI expert system is comprehensively superior to MA expert system.

Based on the analysis of current teaching situation for securities technology analysis, this article pointed out the problems in securities technology analysis teaching and their reasons, and discussed the necessity of applying the VISC technology in teaching practice. In combination with the characteristics of securities technology analysis, the four-step method of VISC was used to originate the similarity graph and its specific application implementation in securities technology analysis teaching, and through the teaching practice, it validated the significant effect on the theoretical teaching and skill teaching of securities technology analysis caused due to the applications of VISC.

A novel graphene oxide sheets/polyaniline/CdSe quantum dots (GO/PANi/CdSe) nanocomposites were successfully synthesized and used for the sensitive electrochemiluminescence (ECL) biosensing. The GO/PANi/CdSe nanocomposites were characterized by transmission electron microscopy (TEM), scanning electron microscopy (SEM), ultraviolet–visible (UV–vis) absorption spectroscopy, photoluminescence (PL) spectroscopy and Fourier transform infrared (FTIR) spectroscopy. Finally, the nanocomposites were employed to construct the biosensor via layer-by-layer assembly for the ECL detection of Cytochrome C (Cyt C). The whole process was characterized by cyclic voltammogram (CV) and electrochemical impedance spectroscopy (EIS). Experimental parameters such as the ratio of GO/PANi, the K 2 S 4 O 8 concentration and the pH value of electrolyte solution were studied to investigate the effect on the ECL intensity. Under the optimized conditions, the ECL intensity decreased linearly with the Cyt C concentrations in the range from 5.0×10 −8 to 1.0×10 −4 M with detection limit of 2.0×10 −8 M. Besides, the as-proposed biosensor exhibits high specificity, good reproducibility, and stability, and may be applied in more bioanalytical systems.

The best is to read these instructions and follow the outline of this text. This paper models and simulates the parking behaviors in a main commercial area in Peace Plaza, Dalian City. By analyzing the simulation results, we propose a feasible plan to solve the problem that some customers cannot find a parking space and there are too many illegal parking behaviors in this area. The simulation shows that it can effectively reduce the number of cars that can’t find a parking space or illegally park by the road.

Traffic systems are increasingly complex, and traffic management works will gradually to become accurate, informationized and intelligent. The traffic management mode based on the experience can no longer adapt to the requirements of development. The introduction of high-tech to control traffic is urgently needed.The proposion of car networking lays a theoretical foundation for this. In this paper, we design, implemented and evaluate a com-pact signal processing system on an embedded mote for vehicle classification via acoustic characteristics. The main components of hardware system include a sound collector, an embedded mote and a wireless transmitting module. In software system we chose kernel principal component analysis (KPCA) as feature extraction method because of its high accuracy of nonlinear differential ability. This system enables an embedded mote to detect a passing vehicle and to decide its type. Using a testbed based on this system, we compare classification quality with the combination of KPCA and SVM to other typical methods. Briefly, we find that the KPCA yields better classification quality than the others in vehicle identification.

Graphene is a single layer of carbon atoms in a closely packed honeycomb lattice. As a new class of two-dimensional nanomaterial, graphene has attracted considerable attention in terms of both the experimental and theoretical aspects in recent years. The unique nanostructure and its other properties endow graphene with potential applications such as capacitors, cell images, sensors, devices, drug delivery, and solar cells. This review presents a general description of preparation route for graphene and its composites in the last few years. The new developments and improvements in its electrochemical applications in inorganic analysis, organic analysis, immunoassay and other electrochemical fields are also discussed.

In view of the irrationality that traditional virtual potential field algorithms brought about on the criterion for the generation of virtual force in directional sensor networks, we propose a novel criterion for judgment. Cross-set test is used to determine whether the sensory region has any overlap, thereby restrain the energy cost of nodes and the performance of the algorithm is improved. In simulation experiment, the validity of the novel criterion and IAPD (improved algorithm of virtual potential field in directional sensor networks) are verified by the compare of IAPD and traditional virtual field algorithms.

By employing functional diimine ligands coordinated dipalladium(II,II) or diplatinum(II,II) clips as corners and the coplanar 4,4'-bipyrazolate dianion (L(2-)) ligand as linker, a series of bipyrazolate-bridged metallo-macrocycles, namely, [M8L4](NO3)8 (M = Pd(dmbpy), 1; Pd(bpy), 2; Pt(bpy), 3a; Pd(phen), 4; Pt(phen), 5; Pd(15-crown-5-phen), 6; Pd(18-crown-6-phen), 8; Pd(benzo-24-crown-8-phen), 10a; Pt(15-crown-5-phen), 7a, Pt(18-crown-6-phen), 9a; Pt(benzo-24-crown-8-phen), 11a) and [M6L3](NO3)6 (M = Pt(bpy), 3b; Pt(15-crown-5-phen), 7b; Pt(18-crown-6-phen), 9b; Pd(benzo-24-crown-8-phen), 10b; Pt(benzo-24-crown-8-phen), 11b), have been synthesized through a directed self-assembly approach that involves spontaneous deprotonation of the 1H-bipyrazolyl ligands in aqueous solution. All these compounds have a crown-shaped cavity that can serve as host to solvent molecules and anions. The structures are characterized by elemental analysis, (1)H and (13)C NMR, ESI-MS, and in the cases of 1a (the BF4(-) salt of 1), 2a (the BF4(-) salt of 2), and 3b by single-crystal X-ray diffraction analysis. Photophysical properties for complexes 1 and 2 are discussed.

[structure: see text]. The self-assembly in aqueous solution of tripyrazolate trianion linkers (H3L = 1 and 2) with coordinated dimetallic clips leads to the formation of Pd12L4 cages with interior cavities of 1800 Angstroms3 and 1500 Angstroms3, respectively, confirmed by 1H NMR, 13C NMR, cold spray ionization mass spectrometry (CSI-MS), and single-crystal X-ray analysis.

Background Oxygymnocypris stewartii is an endemic species only inhabiting the middle and upper reaches of the Yarlung Zangbo River and its tributaries at altitudes above 3600 m in the Qinghai-Tibet Plateau and has suffered a continuous decline of population size owing to anthropogenic disturbance. However, little is known about the stock status of this species and how to protect it. In this study, we evaluated the population status of O. stewartii and investigated two management policies including the minimum age limits and seasonal closure in the Yarlung Zangbo River. Results Estimates of the total mortality rate were 0.35 year−1 for females and 0.65 year−1 for males. The natural mortality rates were estimated as 0.10 and 0.22 year−1 for females and 0.12 and 0.29 year−1 for males using two empirical methods. The O. stewartii population may be in near full exploitation under the current harvesting strategy in the Yarlung Zangbo River, with a high chance of recruitment failure in the future. Although both minimum age limits and seasonal closure could be effective measures to conserve the O. stewartii stock, it was proposed that a seasonal closure was implemented each year from September to December according to the complexity of the application and the effects on the income of local fishermen and on the biological invasion. Conclusions The stock of O. stewartii may be in near full exploitation under the current harvesting strategy, with a high chance of recruitment failure in the future. Our results indicated that the imposition of the seasonal closure from September to December might be the effective measure to conserve the O. stewartii population.

The design and synthesis of novel polypyrazolyl aromatic bridging ligands 1,3,5-tris(3,5-dimethyl-1H-pyra- zol-4-yl)benzene and 2,4,6-tris(4-(3,5-dimethyl-1H-pyrazol-4-yl)phenyl)-1,3,5-triazine from simple starting materials mesitylene and p-tolunitrile were reported.

Two pyrazolate-bridged dinuclear Pd(II) diimine complexes {[(phen)Pd]2L2}(NO3)2 (1) and {[(bpy)Pd]2L2}(NO3)2 (2) have been synthesized through metal–metal interaction and spontaneous deprotonation from 1H-3,5-diphenylpyrazole (HL) in aqueous solution. These complexes show Pd(II)⋯Pd(II) interactions and anion binding have been characterized by elemental analyses, 1H and 13C NMR, ESI-MS, UV–Vis and luminescent spectroscopy, and single crystal X-ray diffraction methods.

In the crytal structure of the title compound, [Pd2(C56H50N8)]2(BF4)4·8CH3CN·H2O, the asymmetric 5-phenyl-3-p-tolyl­pyrazolate ligands bridge (4,4′-dimethyl-2,2′-bipyridine-κ2N,N′)palladium(II) units in cis and trans fashions, resulting in two coexistent dipalladium complexes. The six-membered rings consisting of the two Pd atoms and the four pyrazolyl N atoms have boat-shaped conformations in both independent complexes; the Pd atoms are four-coordinate in square-planar environments. The crystal structure is stabilized by electrostatic forces between the cations and anions, and weak inter­molecular hydrogen bonds involving tetraflurido­borate anions (C—H⋯F), the solvent acetonitrile mol­ecules (C—H⋯N) and water mol­ecules (C—H⋯O).

In the title complex, [Pd2(C10H12O4)2(C10H8N2)2](PF6)2·CH3CN, the PdII centers have a distorted cis-square-planar geometry defined by an O,O′-bidentate bis­acetyl­acetonate dianion ligand and a chelating 2,2′-bipyridine ligand. The crystal structure is stabilized by electrostatic forces between the cations and anions, inter­molecular π–π stacking inter­actions between pairs of 2,2′-bipyridine rings, and weak inter­molecular hydrogen bonds involving hexa­fluoro­phosphate anions (C—H⋯F) and the solvent acetonitrile mol­ecules (C—H⋯N).

This paper is based on the mass open and authentic data from the securities market with the statistical experimental method, to conduct test of MACD and MA expert systems for the securities trading software. The advantages and disadvantages of the two systems are compared by analysis which takes the winning rate, annual rate of return, and net profit margin as the management objectives on the basis of theoretical mathematical statistics. In addition to the annual transaction times, MA expert system is slightly better than MACD expert system.

Reverse tendency indexes of RSI and KDJ expert system are comparatively analyzed and the result that annual return rate and net profit rate of RSI expert system are superior to that of KDJ expert system for many times, in accordance with public and authentic mass data in securities market, with the use of statistical experiments, through testing RSI and KDJ expert system of securities trading software, with annual return rate, win rate, and net profit rate as management objectives and the theory of mathematical statistics as research basis.

Besides excellent optical and electrochemiluminescence properties of quantum dots, their electrochemical and photoelectrochemical behaviors have also been discovered and well employed in DNA biosensing. This chapter presents a general description of the electrochemical and photoelectrochemical properties of QDs with their applications in DNA biosensing.

With the increasing growth of users and exponential propagation of messages, Social Network Services such as Twitter, Facebook can be used to analyze social trend, people's interests and personal-favor. Recently, the Social Network Analysis based on Semantic Web technology tends to be a hot study. In this paper, we propose a sentiment-oriented method that takes advantage of emotion ontology to reason out Twitter users' basic emotions and retrieve YAGO ontology to explain associative topics. We implement a prototype system that visualizes the analysis result, which is human- readable as well as machine-understandable. Index Terms - Semantic Web technology, Twitter Mining, Social Network Analysis, emotion analysis, Social Semantic Network.

As newly developed inorganic materials, quantum dots (QDs) have received considerable attention because of their unique nanorelated properties including high quantum yield, simultaneous excitation with multiple fluorescence colors, and electrochemical properties. This chapter presents a general description of the electrochemiluminescence (ECL) related to QDs and their analytical application. QDs including Si nanopaticles, semiconductor nanocrystals (NCs) and recent emerged novel QDs such as graphene QDs were discussed about their ECL behaviors and mechanisms. By utilization of this excellent property, new developments and improvements of its application in DNA-based analysis are discussed. Different types of QDs with different strategies for the DNA-biosensing constructions were expatiated and compared in detail.

Strong planning under all state-action pairs has been researched in recent years. Normally, the more the state-action pairs are, the higher of complexity is. In fact, there are many state action pairs which are useless for strong planning. Before finding strong planning, it is significant to find a set of state-action pairs which are useless for strong planning, and to best of our knowledge, it is still an open problem. In this paper, for a nondeterministic state-transition system, describes a method about how to use the reach ability matrix to count the state reach ability in a nondeterministic state-transition system. Using the state reach ability, some important conclusions about strong planning are acquired. These conclusions tell us what state-action pairs are useless when we search strong planning. So a lot of state-action pairs can eliminate directly from all state-action pairs before searching strong planning. Our contribution is the some important conclusions about strong planning, these works are significant to improve the efficiency of algorithm for solving strong planning.

This paper proposes an image transmission method based on the compression cost estimation for solving the problems of communication overloading in the wireless multimedia sensor networks. Firstly, according to the relative information entropy among the multimedia sensors, correlation comprehensive degrees of the nodes have been obtained. Then, before the image data are transmitted, energy consumption judgment strategy based on the compression cost estimation is proposed. Finally, an energy efficient image transmission way is used by the judgment. Simulation results show that the proposed scheme can reduce the amount of image transmission effectively, ensure the energy consumption balance of the multimedia sensors in the network and extends the network's lifetime.

The [M(3)L(3)](3+) metallo-macrocycles with syn, syn, syn conformation, self-assembled from crown ether functionalized 1,10-phenanthroline Pd(II) nitrates with naphthanoimidazole, bind a solvent CH(3)CN within the naphthanoimidazolate-built cavity through C-H...pi interactions in the crystalline state.