[Show abstract][Hide abstract] ABSTRACT: Evolutionary spatial game is a promising way to unravel the mystery of cooperation,
and it has been well recognized that spatial structure could enable cooperation to persist.
Schweitzer et al’s lattice model provides an innovative method to solve the problem. In this paper,
we conduct simulations using the same von Neumann neighborhood with , and observe the
effect of initial population and lattice size on the evolution of cooperation. Then, we extend the
model with a more complicated Moore neighborhood and self-playing rule for each central player.
Simulation results not only provide new evidence for the persistence of cooperation in the evolution
with spatial structures, but also investigate critical conditions for the spatial coexistence or
the invasion of cooperators and defectors with the more complicated neighborhood.
Discrete Dynamics in Nature and Society 01/2015; 2015(Article ID 989024):1-14. DOI:10.1155/2015/989024 · 0.88 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: We present a two-stage approach for the “helicopters and vehicles” intermodal transportation of medical supplies in large-scale disaster responses. In the first stage, a fuzzy-based method and its heuristic algorithm are developed to select the locations of temporary distribution centers (TDCs) and assign medial aid points (MAPs) to each TDC. In the second stage, an integer-programming model is developed to determine the delivery routes. Numerical experiments verified the effectiveness of the approach, and observed several findings: (i) More TDCs often increase the efficiency and utility of medical supplies; (ii) It is not definitely true that vehicles should load more and more medical supplies in emergency responses; (iii) The more contrasting the traveling speeds of helicopters and vehicles are, the more advantageous the intermodal transportation is.
International Journal of Environmental Research and Public Health 11/2014; 11(11):11081-11109. DOI:10.3390/ijerph111111081 · 2.06 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: In this paper, we constructed a fluorescence resonance energy transfer (FRET) system between amino-functionalized carbon dots (C-dots) and gold nanoparticles (AuNPs). In this system, C-dots were treated as energy donors, while AuNPs were treated as energy acceptors. We optimized some important factors including incubation time, AuNPs concentration and media pH, which would affect the efficiency of the FRET system. Under the optimized experimental conditions, melamine could be detected based on fluorescence intensity of C-dots. We could get a linear relationship between 50 nM and 500 nM and the detection limit was 36 nM. The proposed method was applied to the determination of melamine in milk samples with satisfactory results. Compared with previous reports, the proposed method manifested great advantages including high sensitivity, short analysis time, low cost and ease of operation.
Sensors and Actuators B Chemical 10/2014; 202:201–208. DOI:10.1016/j.snb.2014.05.058 · 4.10 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: In this paper the fabrication of CuO nanowires (CuO NWs) by a facile two-step method is reported. Cu(OH)2 nanowires (Cu(OH)2 NWs) on a copper surface were prepared at room temperature by a simple solution-based procedure, and subsequent calcinations of Cu(OH)2 NWs led to the formation of CuO NWs. The morphologies and structures of Cu(OH)2 NWs and CuO NWs were characterized by scanning electron microscopy and X-ray diffraction. Electrochemical measurements showed that the CuO NWs modified Cu electrode exhibited good electrocatalytic behavior for the detection of glucose with a wide linear range from 2 μM to 3.56 mM (R2 = 0.9984), a low detection limit down to 0.05 μM, and a high sensitivity of 1886.3 μA mM−1 cm−2. The sensor also displayed a high selectivity, an acceptable reproducibility, an excellent long-term stability and good repeatability. Moreover, the as-prepared sensor has great potential in practical applications.
[Show abstract][Hide abstract] ABSTRACT: In this study, a facile method to sensitively detect melamine and highly improve the peroxidase-like activity of bare gold nanoparticles (Au NPs) at the same time is proposed for the first time. It is interesting to find that the addition of melamine could improve the peroxidase-like activity of Au NPs. By coupling with 3,3',5,5'-tetramethlybenzidine (TMB)-H2O2 chormogenic reaction, a novel method for colorimetic detection of melamine is developed. The detection limit of this method is as low as 0.2nM with the help of UV-vis spectroscopy and 0.5µM by naked-eye observation, both which are far below the US food and Drug Administration estimated melamine safety limit of 20µM. In addition, the present method is successfully applied for the detection of melamine in raw milk and milk powder. More importantly, the proposed method could also improve the peroxidase-like activity of Au NPs, which may not only provide a new approach to develop effective nanomaterials-based mimetic enzyme, but also irradiative to develop new applications for Au NPs in varieties of cost-effective and simple sensors in medicine, biotechnology and environmental chemistry.
[Show abstract][Hide abstract] ABSTRACT: NiCo2O4 nanoflake composites were synthesized by using DNA molecules as templates via in-situ assembly and subsequent thermal treatment. The obtained NiCo2O4 composites were characterized by scanning electron microscopy, energy dispersive spectroscopy, X-ray powder diffraction, thermogravimetric analysis, and X-ray photoelectron spectroscopy. Cyclic voltammetry and chronopotentiometry tests were used to investigate the electrochemical properties of the as-prepared composites. Superior performances with a good specific capacitance (1468 F/g), an extraordinary rate capability (64.9% capacity retention at 16 A/g) and an excellent cycling stability (85.5% retention after 5000 cycles) were achieved. The DNA templates were introduced as the binder of NiCo2O4 and as the conductive matrix to facilitate the electron transmission between electroactive materials and outside current collectors, which resulted in the excellent electrochemical performances of the synthesized NiCo2O4 composites. It is believed that our NiCo2O4 nanocomposites could be used as effective electrode materials for supercapacitors.
[Show abstract][Hide abstract] ABSTRACT: In this report, it was found that the Napierian logarithm of the electrical resistance is proportional to the reciprocal thickness for the platinum nanofilms. A new method was proposed to determine the thickness of platinum nanofilm simply by measuring its electrical resistance, which is fast and cost effective.
[Show abstract][Hide abstract] ABSTRACT: In this study, a facile method to sensitively detect melamine and highly improve the peroxidase-like activity of bare gold nanoparticles (Au NPs) at the same time is proposed for the first time. It is interesting to find that the addition of melamine could improve the peroxidase-like activity of Au NPs. By coupling with 3,3′,5,5′-tetramethlybenzidine (TMB)–H2O2 chormogenic reaction, a novel method for colorimetic detection of melamine is developed. The detection limit of this method is as low as 0.2 nM with the help of UV–vis spectroscopy and 0.5 µM by naked-eye observation, both which are far below the US food and Drug Administration estimated melamine safety limit of 20 µM. In addition, the present method is successfully applied for the detection of melamine in raw milk and milk powder. More importantly, the proposed method could also improve the peroxidase-like activity of Au NPs, which may not only provide a new approach to develop effective nanomaterials-based mimetic enzyme, but also irradiative to develop new applications for Au NPs in varieties of cost-effective and simple sensors in medicine, biotechnology and environmental chemistry.
[Show abstract][Hide abstract] ABSTRACT: Here, we report a new and facile method to prepare silver nanoparticles
(Ag NPs) film for surface-enhanced Raman scattering (SERS)-based
sensing. The porous Ni foam was used as a template to generate high
quality of Ag NPs by seed-mediated growth of metallic nanoparticles. The
preparation process is very economic and environment-friendly, can
achieve the recovery of the raw materials. We found that the type of
silver-plating solution and the growth time are two key factors to
determine the magnitude of SERS signal enhancement. Using rhodamine 6G
(R6G) and 4-animothiophenol (4-ATP) as probe molecules, the created Ag
NP films exhibited relatively high enhancement ability, good stability,
and well reproducibility. The synthesized SERS-active substrate was
further used to detect melamine molecules, an illegal additive in infant
milk powder, and the limitation of detection can reach 1 μM.
[Show abstract][Hide abstract] ABSTRACT: In this work, we proposed a facile, environmentally friendly and cost-effective assay for melamine with BSA-stabilized gold nanoclusters (AuNCs) as a fluorescence reader. Melamine, which has a multi-nitrogen heterocyclic ring, is prone to coordinate with Hg(2+). This property causes the anti-quenching ability of Hg(2+) to AuNCs through decreasing the metallophilic interaction between Hg(2+) and Au(+). By this method, detection limit down to 0.15µM is obtained, which is approximately 130 times lower than that of the US food and Drug Administration estimated melamine safety limit of 20µM. Furthermore, several real samples spiked with melamine, including raw milk and milk powder, are analyzed using the sensing system with excellent recoveries. This gold-nanocluster-based fluorescent method could find applications in highly sensitive detection of melamine in real samples.
[Show abstract][Hide abstract] ABSTRACT: A sensitive hydrogen peroxide (H2O2) sensor was fabricated based on a Prussian blue @ gold nanocomposite (PB@Au). Au nanoparticles (Au NPs) were first electrodeposited on a glassy carbon electrode (GCE) to increase the conductivity and to catalyze the chemical deposition of PB. Electrochemical measurements showed that the PB@Au modified electrode exhibited good electrocatalytic behavior for the detection of H2O2 with a wide linear range from 2 μM to 8.56 mM (R2 = 0.9980), a low detection limit down to 0.1 μM (S/N = 3), and a high sensitivity of 39.72 μA mM−1. The sensor also displayed a good anti-interference ability, an acceptable reproducibility, an excellent long-term stability and good repeatability. The desirable recoveries achieved in disinfected fetal bovine serum verified that the developed sensor could have a potential use in the detection of H2O2 in real samples. Moreover, the operating simplicity and low expense of the fabrication made the as-prepared electrode attractive.
[Show abstract][Hide abstract] ABSTRACT: With the widespread application of computer and communication technologies, more and more real-time systems are implemented whose large amounts of time-stamped data consequently require more efficient processing approaches. For large-scale time series, precise values are often hard or even impossible to predict in limited time at limited costs. Meanwhile, precision is not absolutely necessary for human to think and reason, so credible changing ranges of time series are satisfactory for some decision-making problems. This study aims to develop fast interval predictors for large-scale, nonlinear time series with noisy data using fuzzy granular support vector machines (FGSVMs). Six information granulation methods are proposed which can granulate large-scale time series into subseries. FGSVM predictors are developed to forecast credible changing ranges of large-scale time series. Five performance indicators are presented to measure the quality and efficiency of FGSVMs. Four time series are used to examine the effectiveness and efficiency of the proposed granulation methods and the developed FGSVMs, whose results show the effectiveness and advantages of FGSVMs for large-scale, nonlinear time series with noisy data.
[Show abstract][Hide abstract] ABSTRACT: This study demonstrates a cocaine sensing method employing graphene oxide (GO), gold nanoparticles and a structure switching aptamer, which can fold into a three-way junction in the presence of cocaine. On the observation of gold nanoparticles (Au NPs) induced graphene oxide fluorescence quenching, a structure switching aptamer of cocaine was introduced as the linker between the two parts. Firstly, two fragments of a cocaine aptamer were immobilized covalently onto GO and Au NPs, respectively. Then when the three-way junction formed, the Au NPs were drawn near to the GO surface and induced a fluorescence intensity decrease. The limit of detection was 0.1 μM for cocaine in purified water, and well defined results were also obtained in biological fluids and the specificity experiment, which expands the feasibility of the as-prepared sensor for practical applications.
The Analyst 08/2013; 138(23). DOI:10.1039/c3an00897e · 4.11 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: The transportation networks often become uncertain due to the occurrence
and development of disasters. In order to select proper paths under uncertain infor-
mation, we propose a novel scenario-based approach for emergency path selection. The
scenario factors are �rstly analyzed and combined to describe the uncertainty of each
path section between two adjacent intersections in emergency transportation networks.
Then, according to the fuzzy properties of path sections, the membership transformation
algorithm M(1,2,3) is applied in fuzzy evaluation on the scenarios of path sections, which
can determine the satisfaction degrees of each path section. Combining the highest sat-
isfaction of each section under various scenarios, an optimal multi-attribute vector is
constructed to build the scenario-based optimization model for emergency path selection.
Finally, a numerical example is shown to illustrate the solution of this approach, whose
results show that this approach can produce the paths with maximized overall satisfaction
degree in a given con�dence and that the satisfaction degree will increase as the given
International journal of innovative computing, information & control: IJICIC 08/2013; 9(8):293-3305. · 1.66 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Electrochemical reduction and electrodeposition are two effective methods for the preparation of new nanomaterials for electrochemical sensing. In this work, the reduced graphene oxide-nickel nanoparticles composite (RGO-NiNPs) was synthesized using both methods mentioned above. The fabrication process was simple and easily performed. Then, the RGO-NiNPs composite was characterized by SEM, EDS, and XRD. Furthermore, for the strong catalytic ability of the high-valent oxyhydroxide species (NiOOH) formed in alkaline media, the composite was used as the matrix for nonenzymatic detection of glucose. Comparing with NiNPs modified glassy carbon electrode (NiNPs/GCE), the RGO-NiNPs/GCE showed better sensitivity and stability. A low detection limit of 0.1 µM with a wide linear range from 2 µM to 2.1 mM (R=0.996) was obtained.
[Show abstract][Hide abstract] ABSTRACT: In this work, input-to-state stability of Lur’e hyperbolic distributed complex-valued parameter control systems has been addressed. Using comparison principle, delay-dependent sufficient conditions for the input-to-state stability in complex Hilbert spaces are established in terms of linear operator inequalities. Finally, numerical computation
illustrates our result.
[Show abstract][Hide abstract] ABSTRACT: The existence of uncertainties may result in various unexpected disruption events in logistics delivery, which often makes actual delivery operations deviate from intended plans. The purpose of the paper is to develop a combinational disruption recovery model for vehicle routing problem with time windows (VRPTW), trying to handle a variety and a combination of delivery disruption events. Firstly, a novel approach to measure new-adding customer disruption, which considers the real-world participators (mainly including customers, drivers and logistics providers) in VRPTW, is developed. Then the paper proposes methods of transforming various delivery disruptions into the new-adding customer disruption, and determines the optimal starting times of delivery vehicles from the depot to provide a new rescue strategy (called starting later policy) for disrupted VRPTW. Based on the above, a combinational disruption recovery model for VRPTW is constructed and nested partition method (NPM) is designed to solve the proposed model. Finally, computational results are reported and compared with those of previous works, which verifies the effectiveness of the proposed solution and draws some interesting conclusions.
International Journal of Production Economics 11/2012; 140(1):508–520. DOI:10.1016/j.ijpe.2012.07.001 · 2.75 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Water safety is one of the most pervasive problems afflicting people throughout the world. Microcystin, a hepatotoxin produced by cyanobacteria, poses a growing and serious threat of water safety. According to World Health Organization (WHO), the limit of content of microcystin-LR (MC-LR) in drinking water is as low as 1 μg/L; it is thus necessary to explore a sensitive method for the trace detection of microcystins (MCs). Based on the observation of gold nanoparticles (Au NPs) induced graphene oxide (GO) fluorescence quenching, a reliable biosensor was developed here for microcystins detection. MCs could be attached on Au NPs through the interaction with single strand-DNA (ss-DNA) modified on Au NPs, which formed Au-DNA-MCs complexes. These MCs in the complexes could be immunologically recognized by the antibodies adsorbed on GO sheets, as a result, Au NPs were close enough to quench the photoluminescence of GO by the fluorescence resonance energy transfer (FRET). The fluorescence intensity decreased with the increase of MCs as more Au NPs linked onto GO surface. The limit of detection was 0.5 and 0.3 μg/L for microcystin-LR and microcystin-RR (MC-RR), respectively, which satisfies the strictest standard of WHO. Well defined results were also obtained in natural lake water and the specificity experiment. The antibody used here could recognize Adda group, the conservative part of MCs, which allowed the biosensor to detect both single toxin and the total content of MCs existing in the water sample.
[Show abstract][Hide abstract] ABSTRACT: A stochastic unscented Kalman filter is designed in an attempt to solve the state estimation problem of the greenhouse climate control systems with missing measure-ments. The missing measurements are described by a binary switching sequence satisfying a conditional probability distribution. In order to accommodate the effects of randomly varying arrival of measurement data, the stochastic unscented transformation coupled with certain parts of the classic Kalman filter is applied to estimate the greenhouse states and filter out the noises, where some or all measurements are lost in a random fash-ion. The simulation results demonstrate the performance degradation of state estimation caused by random measurement data loss.
International journal of innovative computing, information & control: IJICIC 03/2012; 8(3). · 1.66 Impact Factor