bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance Analysis of 2-D Prime Codes Encoded Optical CDMA System
Authors: Rani Ankita , Kedia Deepak 
Published: September 2017

Abstract
Optical code division multiple access (OCDMA) system provides highly secured transmission in addition to its capabilities to support asynchronous transmission and soft blocking. Two-dimensional OCDMA codes are chosen in this paper due to their high cardinality, good spectral efficiency and flexibility in their construction methods against direct sequence codes. This paper focuses on study of impact of multiple access interference (MAI) at high data rates for 2-D prime codesbased OCDMA system. It is shown that how the change in number of simultaneous users affects the transmission quality. Further, performance of the system is analysed in terms of bit error rate, received electrical power and eye openings. In addition, this paper also shows a comparative analysis of 2-D codes-based OCDMA system and wavelength division multiple access (WDMA) system in order to justify the improved performance of the proposed system. It is observed that the performance of 2-D OCDMA system is much better than WDMA system in terms of quality as well as security.
Human Serum Low Molecular Mass Prostate-Specific Antigen as Biomarker
Authors: Goč Sanja , Janković Miroslava 
Published: September 2017

SummaryBackground: Prostate-specific antigen (PSA) is a glycoprotein tumor marker known to exist as numerous glycospecies. Investigations on its glycobiochemical properties aimed at their use in the preparation of adjuncts in determining PSA concentration for clinical purposes have accumulated a lot of data on its structural properties. In this study, we reconsidered unexplored ubiquitously present low molecular mass species of PSA regarding to molecular mass, origin and pathophysiological source specificity in order to evaluate them as biomarkers. Methods: Data on low molecular mass PSA-immunoreactive species from sera of subjects with prostate cancer (PCa), benign prostatic hyperplasia (BPH), breast cancer (BCa), and urine of healthy males obtained by on-chip immunoaffinity chromatography combined with mass spectrometry were analyzed. Results: The results obtained indicated PSA species common to BCa, PCa, and BPH at 12-13 kDa, 17-19 kDa and 21-24 kDa. The striking difference in predominant frequencies made the profile characteristic in each examined pathophysiological condition. On the other hand, paired groups of prostatic and extraprostatic PSA contained rare species with small differences among groups concerning individual species. Low molecular mass PSA also included rare species unique for each group of samples. Conclusion: The results obtained revealed that uniformity of low molecular mass PSA-immunoreactive species in sera prevails over diversity related to cancer and non-cancer conditions, but at the same time some of them are molecules with biomarker potential for BPH detection.
Double-principal Agent: False Accounting Information, Supervision Cost and Corporate Performance
Authors: Wu Wuqing , An Suning 
Published: September 2017

AbstractThe game among the corporate controlling shareholder, the shareholder in power balance and the manager can lead to severe agency problems. This paper regards the shareholder in power balance as another principal and applies the latest results about double-principal agent theory in the research of manager tunneling, supervision cost and corporate performance, trying to solve the inconsistency of the above corporate governance issue researched by domestic and foreign scholars. The main conclusions are as the followings. The correlation among them depends on which one has a dominant position, the free rider effect of supervision or the positive externality effect on cash flow right. Therefore, the key to excite the positive effect of the corporate governance mechanism such as the check-and-balance of stock ownership is the degree of cooperation between shareholders.
Optimal Sales Discount Decision Model with Fixed Ordered Quantities
Authors: Zheng Shi , Zheng Wen 
Published: September 2017

AbstractThe purpose of this paper is to study sales pricing and discount strategy for sellers. Here, the suppliers require fixed order quantities to the sellers. Therefore, to incorporate the concept of sellers’ maximum profit and sales discount into the model, the author classifies the multi-category goods into backlog, flat and profitable one. Then the model to determine the optimal sales price strategy for a sales discount decision system with fixed order quantities is analyzed. As most of the non-linear model can be linearization, a mathematical model for sales discount decision system is developed when demand rate is a liner function of the sales price. By analyzing the total profit function, the authors developed some useful results to characterize the optimal solution and provided a method to find the sales discount for holdovers. By developing a solution algorithm, the optimal retail price and sales discount for holdovers are provided. Case scenarios are presented to validate the proposed model. Through case scenarios analyses, it is observed that optimal sales discount can help the sellers earn maximum profit with constraints of fixed order quantities. Most of the research articles available in the literature assumed that the sellers are always in optimal situation. In fact, sellers’ decisions rely on suppliers’ decisions in most cases. In this paper, determination of sales discounts can be seen as sellers compromise to suppliers by seeking the optimal strategy with downstream customers. In view of this fact, a mathematical model is developed considering sales price dependent linear demand and sellers’ profit. Very few researchers have investigated optimal sales discount decision system with fixed order quantities; although it is a real situation the sellers should be faced.
The Order Quantity Decision of Newsboy Retailer with Financing
Authors: Ma Zhonghua 
Published: September 2017

AbstractWe analyze the retailer’s optimal order with capital constraint under stochastic demand. We consider the impact of external financing, that is inventory financing, and the internal financing, that is trade credit, on the order strategy of retailer separately. We establish revenue model of retailer and solve, and give revenue of retailer and supplier respectively. Finally, we give the impact of own funds on the retailer’s order quantity, retailer’s revenue, supplier’s revenue, as well as the impact on the overall revenue gains of the supply chain. And some analysis and statement are also given in the end.
Widespread Traffic Congestion Prediction for Urban Road Network Based on Synergetic Theory
Authors: Zhang Liangliang , Jia Yuanhua , Niu Zhonghai , Liao Cheng 
Published: September 2017

AbstractThe traffic congestion often occurs in urban road network. When one of the sections becomes congested, it will lead to a series of congestions in other sections. The traffic congestion spreads rapidly until part of road network becomes congestion ultimately. In this case, the paper investigates the mechanism of the traffic congestion in urban road network and points out that subsystems of the traffic congestion always perform completive and cooperative functions in the process of traffic congestion. The process behaves in a manner of self-organized criticality, which can be forecasted. The paper also establishes synergetic predictive models based on self-organized criticality of the synergetic theory. Finally, the paper takes Beijing road network as an example to forecast the widespread traffic congestion. The result shows that the established models are accuracy, and the traffic congestion is featured of self-organized criticality.
Calculating the Maximum Assembling on Nested Routing Platforms of Urban Rail Transit Line
Authors: Wang Yongliang , Zhang Xingchen 
Published: September 2017

Abstract
The maximum assembling for some period on nested routing platforms of urban rail transit line were calculated by trend analysis method. Based on influencing factors of maximum assembling on platform, relative hypotheses were given. Platforms were divided to eight types by relations between platform and routing train. Interaction of passenger, train and platform, assembling change process, and calculation frames of maximum assembling on different type platforms carried out to be maximum assembling were concluded by trend analysis method. The numerical example application revealed that trend analysis method to calculate maximum assembling on nested routing platforms is feasible, and the final results by trend analysis method are more accurate than by one of codes for design of metro.
An EPC Forecasting Method for Stock Index Based on Integrating Empirical Mode Decomposition, SVM and Cuckoo Search Algorithm
Authors: Li Xiangfei , Zhang Zaisheng , Huang Chao 
Published: September 2017

AbstractIn order to improve the forecasting accuracy, a hybrid error-correction approach by integrating support vector machine (SVM), empirical mode decomposition (EMD) and the improved cuckoo search algorithm (ICS) was introduced in this study. By using two indexes as examples, the empirical study shows our proposed approach by means of synchronously predict the prediction error which used to correct the preliminary predicted values has better prediction precision than other five competing approaches, furthermore, the improved strategies for cuckoo search algorithm has better performance than other three evolutionary algorithms in parameters selection.
American Option Pricing Using Particle Filtering Under Stochastic Volatility Correlated Jump Model
Authors: Song Bin , Liang Enqi , Liu Bing 
Published: September 2017

Abstract
A particle filter based method to price American option under partial observation framework is introduced. Assuming the underlying price process is driven by unobservable latent factors, the pricing methodology should contain inference on latent factors in addition to the original least-squares Monte Carlo approach of Longstaff and Schwartz. Sequential Monte Carlo is a widely applied technique to provide such inference. Applications on stochastic volatility models has been introduced by Rambharat, who assume that volatility is a latent stochastic process, and capture information about it using particle filter based “summary vectors”. This paper investigates this particle filter based pricing methodology, with an extension to a stochastic volatility jump model, stochastic volatility correlated jump model (SVCJ), and auxiliary particle filter (APF) introduced first by Pitt and Shephard. In the APF algorithm of SVCJ model, it also provides a modification version to enhance the performance in the resampling step. A detailed implementation and numerical examples of the algorithm are provided. The algorithm is also applied to empirical data.
The Stochastic Cash Balance Problem with Fixed Costs: The Risk-averse Case
Authors: Liu Shuren , Tang Pei 
Published: September 2017

Abstract
This paper discusses multi-period stochastic cash balance problem with fixed costs when the decision maker is risk averse. By using the consumption model introduced by Chen et al, we characterize the structure of the optimal policy for the stochastic cash balance problem under the general increasing concave utility function and exponential utility function, respectively. We show that the structure of the optimal policy for a decision maker with exponential utility function is almost identical to the structure of the optimal risk-neutral operations policy. Furthermore, we extend the results for the exponential utility function to the ambiguity aversion case.
Optimizing the Grey GM(1,N) Model by Rebuilding All the Back Ground Values
Authors: Ma Xin , Liu Zhibin , Chen Yishen 
Published: September 2017

Abstract
The GM(1,N) model is a very important prediction model of the grey system. But the inherent defect of GM(1,N), which may cause very large error, is still there. This paper analyzes the source of the error of GM(1,N) and reveals that it’s all the back ground values that effect the precision and applicability of GM(1,N). Three methods are employed to revise the GM(1,N) model. The simulation test shows the new models perform with higher precision and robustness. Even in some extreme cases, in which the original GM(1,N) is invalid, the new models are still valid and perform well.
Linear Quadratic Nash Differential Games of Stochastic Singular Systems
Authors: Zhou Haiying , Zhu Huainian , Zhang Chengke 
Published: September 2017

Abstract
In this paper, we deal with the Nash differential games of stochastic singular systems governed by Itô-type equation in finite-time horizon and infinite-time horizon, respectively. Firstly, the Nash differential game problem of stochastic singular systems in finite time horizon is formulated. By applying the results of stochastic optimal control problem, the existence condition of the Nash strategy is presented by means of a set of cross-coupled Riccati differential equations. Similarly, under the assumption of the admissibility of the stochastic singular systems, the existence condition of the Nash strategy in infinite-time horizon is presented by means of a set of cross-coupled Riccati algebraic equations. The results show that the strategies of each players interact.
An Improved Model of Dividend Tax Based on Continuous Function
Authors: Yan Chunning , Zhang Hang , Chen Qianqian , Huang Yangxin 
Published: September 2017

Abstract
By comparing several kinds of continuous functions, a normal distribution function-based model is proposed to improve the existing Levy policy of dividend tax in this paper. The improved model is adopted to stimulate the long-term investment and contain the short-term speculation. Further, this improved model paves an avenue to overcome the deficiency on the double policy of dividend tax rate by holding stock period with one day difference and also adjust the tax revenues by controlling the parameters of the distribution function. The findings from this study suggest that the improved model with normal distribution function may provide more reasonable results based on the data from the stock market and, finally, the proper decision is discussed.
Geometric singular approach to Poisson-Nernst-Planck models with excess chemical potentials: Ion size effects on individual fluxes
Authors: Zhang Mingji , Zhang Jianbao , Acheampong Daniel 
Published: September 2017

Abstract We study a quasi-one-dimensional steady-state Poisson-Nernst-Planck model for ionic flows through membrane channels. Excess chemical potentials are included in this work to account for finite ion size effects. This is the main difference from the classical Poisson-Nernst-Planck models, which treat ion species as point charges and neglect ion-to-ion interactions. Due to the fact that most experiments (with some exceptions) can only measure the total current while individual fluxes contain much more information on channel functions, our main focus is to study the qualitative properties of ionic flows in terms of individual fluxes under electroneutrality conditions. Our result shows that, in addition to ion sizes, the property depends on multiple physical parameters such as boundary concentrations and potentials, diffusion coe-cients, and ion valences. For the relatively simple setting and assumptions of the model in this paper, we are able to characterize, almost completely, the distinct effects of the nonlinear interplay between these physical parameters. The boundaries of different parameter regions are identified through a number of critical potential values that are explicitly expressed in terms of the physical parameters.Numerical simulations are performed to detect the critical potentials and investigate the quantitative properties of ionic flows over different potential regions. In particular, a special case is studied in Section 5 without the assumption of electroneutrality conditions.
Laplace - Fibonacci transform by the solution of second order generalized difference equation
Authors: Pinelas Sandra , Xavier G. B. A. , Kumar S. U. Vasantha , Meganathan M. 
Published: September 2017

Abstract
The main objective of this paper is finding new types of discrete transforms with tuning factor t. This is not only analogy to the continuous Laplace transform but gives discrete Laplace-Fibonacci transform (LFt). This type of Laplace-Fibonacci transform is not available in the continuous case. The LFt generates uncountably many outcomes when the parameter t varies on (0,∞). This possibility is not available in the existing Laplace transform. All the formulae and results derived are verified by MATLAB.
Structural, optical and electrical characterization of CBD synthesized CdO thin films: influence of deposition time
Authors: Das M.R. , Mukherjee A. , Mitra P. 
Published: September 2017

AbstractCadmium oxide (CdO) thin films were grown on glass substrates by chemical bath deposition (CBD) method for different deposition times using cadmium acetate as cationic precursor. The structural and optical characterization was carried out using XRD, TEM, and UV-Vis spectrophotometer measurements. Structural analyses with XRD confirmed cubic structure of the CdO. Average particle size estimated from Rietveld refinement method of XRD pattern corresponded well with TEM measurement. The optical band gap varied between 2.35 eV to 2.48 eV with deposition time and an increase in optical band gap with decreasing film thickness was observed. The AC electrical conduction behavior of the CdO film was investigated as a function of temperature as well as frequency. The conductivity measurements indicated localized conduction and hopping of carriers between localized states. The value of real part of dielectric constant was found to decrease with frequency and increase with temperature. The Nyquist plots at different temperatures showed the existence of both grains and grain boundaries contributing to conduction mechanism.
Moving to Need: The Effect of Federal Contracts on Service Provider Location
Authors: Never Brent , Westberg Drew 
Published: September 2017

AbstractPlace matters, particularly when one considers human services. Proximity to individuals served is particularly important in those human services dedicated to people with low mobility or elevated fears of difference. Our project aims to explore the location decisions of job placement and training nonprofits at a national level. Relying on four separate data sets - 990 data from the National Center of Charitable Statistics, federal contracting from the Federal Audit Clearinghouse, and American Community Survey data at the census tract level - we analyze nonprofit movement from 2008–2012 and assess the impact of federal contracts on the prevalence to move. This analysis finds that federal contracts played a powerful but double-edged role in redistributing job placement and training agencies. First, federal contracts seem to have helped nonprofits move to ‘better’ neighborhoods post-recession. Second, and somewhat contradictory, we also find that post-recession these same agencies were located in far worse neighborhoods than non-contracted counterparts that also moved during the recession.
The Road Network in the Longue Durée: A Reading Key of the History of Territories
Authors: Watteaux Magali 
Published: September 2017

AbstractThe historical study of routes has long remained confined to the great Roman roads, to the modern royal roads and to the medieval pilgrimage routes. For fifteen years, the French school of Archaeogeography has revisited this research field in great depth, following the first intuitions of the archaeologist Eric Vion. The innovative idea ‒ at least because it leads to a questioning of our methods ‒ is to consider the current road network as the starting point of the analysis. It is the true object of research for the historianarchaeologist because it represents a solid legacy whose logic one must unravel. Because this story is closely integrated with urban, political and economic matters, the study of this inherited road network represents a precious reading key to understanding the history of the territories in the longue durée. In the frame of this paper, we propose to recall these methodological advances and to present a case study in Brittany, around the small town of Chateaugiron. By this example, we want to show that the archaeogeographical analysis and interpretation offer a scientific narrative based on the paradigms of complexity and resilience to contemporary societies in charge of our territories.
The Teotihuacan Anomaly: The Historical Trajectory of Urban Design in Ancient Central Mexico
Authors: Smith Michael E. 
Published: September 2017

AbstractThe ancient Mexican city of Teotihuacan had the most aberrant design of any city in ancient Mesoamerica. I examine similarities and differences between the design of Teotihuacan and other Mesoamerican cities. During the Preclassic period, a set of common Mesoamerican planning principles emerged. The designers of Teotihuacan rejected most of these principles in favor of a new and radical set of planning concepts. After the fall of Teotihuacan, subsequent urban planners ignored the Teotihuacan principles and returned to ancient Mesoamerican planning ideas. Elements of the Teotihuacan plan did not resurface until the Mexica of Tenochtitlan revived them for a specific goal. The historical sequence of central Mexican city layouts highlights the anomalous character of Teotihuacan’s principles of urban design within the canons of ancient Mesoamerican urbanism.
The Shapiro-Stiglitz Model with Non-constant Marginal Utility
Authors: Wu Joseph S. K. , Ho Chi Pui 
Published: September 2017

Abstract The Shapiro-Stiglitz model plays an important role in the employment theory. Woodford pointed out the theoretic limitation of the linear worker's utility function in that model. He questioned the model's implication of the secular decline in the unemployment rate when such rate was in fact trendless. He proposed to resolve this by allowing diminishing marginal utility of income. In this paper, the Shapiro- Stiglitz model is generalized using a nonlinear utility function implicit in the Stiglitz Efficiency-wage paper, thus linking these two well-known models. The nonlinear utility function in this generalized model not only allows for diminishing marginal utility of income but also allows for the analysis of parameters representing various factors affecting the secular unemployment rate. In particular, we can specify the condition under which the diminishing marginal utility can cause such rate to be trendless.
Informality: the Doorstep of the Legal System
Authors: Russo Francesco Flaviano 
Published: September 2017

Abstract Many entrepreneurs work informally because it is costly to start and run a business legally. Using a dynamic model of industry equilibrium, I show that the costs of the legal system can explain the cross country variability of the size of the informal economy. The model implies that the business start-up costs are more important than taxes and labor market regulations. Small, less productive, entrepreneurs, facing high entry costs, start informally, waiting to become more productive before legalizing. Informality is often the doorstep of the legal system.