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In this paper, two improved MCDM models including Analytic Hierarchy Process (AHP) for group decision-making and revised TOPSIS model are applied for credit risk evaluation. The index weight is determined by AHP for group decision-making, which can establish the decision matrix with less subjective judgments and improve the accuracy of index weight. In the revised TOPSIS method, gray relational degree...
The aim of the paper is to discover the spatial distribution of agricultural mechanization and investigate the possible influential factors of spatial disparities of agricultural mechanization in China. The statistic data at provincial-level in the year of 2009 were collected to achieve the objective. Method of exploratory spatial data analysis (ESDA) is applied to examine the spatial structure and...
Basing Permanent-Transitory Model and Information Shares Model, this paper studies the contribution on price discovery of CSI 300 index futures market, using 1 minute, 5 minutes and daily data. Permanent-Transitory Model shows that CSI 300 index futures market plays a more important role in price discovery than does the cash market. Information Shares Model shows that the higher frequency of data,...
Purpose: Collecting and analyzing experimental data with the method of subjective scale. Established trend curve of alertness versus time and the Three-Process Model of Alertness regulation with specific population. Method: tracking the life of 12 subjects 3 days, getting the alertness data and the trend of alertness level, then comparing and verifying it with the trend of the Three-Process Model...
In this paper we present some recent work we performed on the socio-economic impact of fibre access networks (FTTH/FTTx). We summarise some results from a pre-study on the effects of fibre deployments in Sweden. Specifically, we list and quantify savings in data and telecommunications costs for Swedish local governments, estimate the added values for fibre-connected citizens, and present a multivariate...
This paper modeled the evolution of the contagious severity of the stock markets combing with the cross-market correlation coefficients, the market capitalizations and the functions of self-remedy into the time-varying coefficients of the epidemic kinetics model. Then we used the data of United States, Russia, Australia, Brazil, China, India, Hong Kong and Japan during the 2007-2009 stock market crisis...
In this report, we designed a procedure for exploring the cellular relationships from the sets of characteristic genes in distinctive cell types, by using partial canonical correlation analysis. We applied the present procedure to the characteristic gene sets of seven subtypes of testicular germ cell tumors in a previous report. The cellular relationships were well reconstructed, consistent with the...
The multi-attribute assessment of an R&D portfolio is key for a company's long term survival. As sustainability is entering the stage both on the technological and financial as well as the people oriented aspects, a consistent approach is mandatory. Five models help to underpin a balanced evaluation in the light of a B2C company producing kitchen ware.
Investigations of the biomechanical parameters of robotic walker assisted gait are needed to allow modern rehabilitation strategies and to improve further technological developments. In this study, spatio-temporal gait parameters were assessed during normal and assisted ambulation with the Simbiosis walker model, a robotic walker with forearm supports. Six infra-red video cameras, integrated in a...
This paper proposes a body weight prediction method using Fuzzy-autoregressive (AR) model. New Fuzzy-AR model is formed by including fuzzy membership function which changes AR parameter in autoregressive (AR) model. We employed 452 volunteers, and collected their body weight time-series data during 730 days. We use body weight data from 1st to 365th day as learning data to determine the Fuzzy-AR models...
A QSAR study on a series of N-aryl derivatives was performed to explore the important molecular descriptor which is responsible for their inhibitory activity towards choli nest erase enzyme, the common target for the treatment of Alzheimer's disease. Molecular descriptors were calculated using DRAGON version 5.2 software Two methods of descriptor selection, stepwise regression and forward selection...
The relationship between a person¡¦s personality and performance has long been studied by psychologists. Research suggests that a person¡¦s performance and behavior are related to personality characteristics and background data to a certain degree. In this paper, the Big Five personality model is adopted for measuring profiles of students, whose undergraduate performance and behavior are then analyzed...
The microarray-based gene expression time-course experiments represent an important research design in biomedical studies. Current methods for analyzing microarray time-course data ignore individual differences in treatment responses or time-course patterns and have difficulties in handling missing values. We introduce the latent growth curve models popular in use in longitudinal epidemiology studies...
Respiratory signal is usually recorded with techniques like spirometry, pneumography or whole body plethysmography. These techniques require the use of cumbersome devices that may interfere with natural breathing, unmanageable in certain applications such as ambulatory monitoring, stress testing, and sleep studies. Infact, the joint study of cardiac and pulmonary systems is of great interest in most...
The hydrodynamic model GETM coupled with the ecosystem model ERGOM was applied to the Baltic Sea area for the period 1991–2010. The first part of the modeled period is characterized by considerable socioeconomic changes in the area that are generally considered favorable for the status of coastal marine ecosystems due to a decrease in external nutrient loads. Model results were used to describe and...
The availability of biological data in massive scales continues to represent unlimited opportunities as well as great challenges in bioinformatics research. Developing innovative data mining techniques and efficient parallel computational methods to implement them will be crucial in extracting useful knowledge from this raw unprocessed data, such as in discovering significant cellular subsystems from...
This paper investigates the potential use of Transient Otoacoustic Emissions (TEOAE) for biometric recognition. Multiresolution decomposition of TEOAE is done by a modified Bivariate EmpiricalMode Decomposition (BEMD) combined with an auditory model. Matching scores are computed by combining ranked correlations across different levels. Recognition rate with recording from left ear is 96.30% and can...
A financial asset's volatility exhibits key characteristics, such as mean-reversion and high autocorrelation [1], [2]. Empirical evidence suggests that this volatility autocorrelation exponentially decays (or exhibits long-range memory) [3]. We employ Genetic Programming (GP) for volatility forecasting because of its ability to detect patterns such as the conditional mean and conditional variance...
The automatic detection of malignant cells in soft tissues with the help of medical images assists the pathologists in histopathology diagnosis to confirm cancer. This system helps pathologists to improve the accuracy, efficiency to detect malignancy and to minimize the inter-observer variation. In addition, the method may help us to analyze the morphometric and staining characteristics of the cells...
The science of catastrophic risk modeling helps people to understand the physical and financial implications of natural catastrophes (hurricanes, flood, earthquakes, etc.), terrorism, and the risks associated with changes in life expectancy. As such it depends on simulation techniques that integrate multiple disciplines such as meteorology, hydrology, structural engineering, statistics, computer science,...
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