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The recently introduced Market Dynamics method presents a new approach towards measuring security price movements and related indicators. The approach leads to a new formulation for measuring P/E ratio changes, and indicates clear linkages between the expected change in P/E ratio for a security and the corresponding changes in earnings and money flow. As such, money flow appears to play a key role in determining valuations of traded securities.

The continuing evolution of business needs and technology makes applications more demanding in terms of development, maintenance, usability and management. To cope with this complexity, various frameworks and patterns are integrated for producing stable, maintainable and testable code. Given this diversity of solutions, the generation of a code based on UML models has become important. This paper presents, after establishing the different meta-models, the application of the MDA (Model Driven Architecture) to generate, from the UML model, the Code following the IoC (Inversion of Control) and Dao (Data Acces Object) patterns. The model-to-model transformations are also clearly and formally established by using the standard MOF 2.0 QVT (Meta-Object Facility 2.0 Query-View-Transformation) as transformation language. The transformation rules defined in this paper can generate, from the class diagram, an XML file containing the Business and the Data Access package. This file can be used to generate the necessary code of an architecture overview of IoC and DAO patterns.

The presence of missing values in air quality data is a common issue and important task to deal with it. The data was collected using automated machines which contain missing value that can cause bias result due to differences between observed and predicted data. This paper considers hourly air pollutant concentrations such as NO, NO2, CO, SO2 and meteorological variables such as AT, WS, RH at Kemaman over a four-year period. This paper discusses the performance of Multiple Linear Regression model by using different imputation methods such as mean top bottom, linear interpolation and Markov Chain Monte Carlo (MCMC). The result shows that the MCMC method to replace the missing values obtained the highest R2 (0.649) after fitting to multiple linear regression model for prediction of ozone concentrations with selected precursors. Therefore, MCMC method produced a good fit multiple linear regression for prediction of ozone concentration in this study.

Jatropha curcas seed meal (JCSM) is known as a good substrate for enzyme production via solid state fermentation. The aim of this research was to study the mycology of spontaneously fermented JCSM. JCSM was spontaneously fermented for six days. Mycelia of fungus were cultured and incubated at 25°C on potato dextrose agar, sabouraud for six days. Microslide culture was carried out to obtain greater detail of the resulting morphological features. Five fungal species (Aspergillus flavus, Aspergillus niger, Rhizopus stolonifer, Penicillium chrysogenum and Fusarium species) were isolated. This is the first report of fungal species associated with spontaneous fermentation of defatted Jatropha curcas seed meal.

Locally produced foreign varieties of Magnifera indica (Keith and Kent varieties) were sampled and purchased from farms and markets within the Yilo and Lower Manya Krobo districts and analyzed for pesticide residues by gas chromatography equipped with an Electron Capture Detector (GC-ECD). In all, 80 samples were extracted and analyzed for mainly organochlorine residues (?-HCH, ?-HCH, aldrin, dieldrin, heptachlor, ?-chlordane, endosulfan s, p, p’-DDE etc.) and synthetic pyrethroid residues (allethrin, bifenthrin, fenpropathrin, permethrin, cyfluthrin etc.). Analysis indicates that about 88% of the mangoes sampled from the farms and markets contained one or more of these pesticide residues. The data also revealed that about 6.2% of the samples analyzed contained organochlorine pesticide residues of ?-HCH (0.013mg/kg and 0.038mg/kg); ?-HCH [0.014mg/k]; methoxychlor [0.027mg/kg] above maximum residue limits. Synthetic pyrethroid residues of cyfluthrin [0.078mg/kg] and fenvalerate [0.025mg/kg] were also found above their respective maximum residue limits. However, 78.2% of detected pesticide residues were below the Maximum Residue Limits. Nonetheless, the continuous consumption of these fruits with even the modest pesticide levels can result in accumulation that could result in deadly chronic effects.

In Wireless Sensor Networks, having two types of approaches non-clustering & clustering based. In both cases the prime role in network is energy consumption to transmit the data that will decide the life time of network. So this paper focused on the energy consumption. This research paper works for generation or formation of cluster & how to select the cluster head by which consideration of energy consumption should be less than non-clustering approach. In this research paper to create the cluster, implement the K-Mean algorithm to select the cluster head based on the nearest node to the location of center of cluster. This paper considers the sending energy consumption of each node in the whole network in both cases i.e. non-clustering & clustering.

In this paper, we explain a new type of geometry based on a different way of measuring distance between points, as we explained on different planes like Minkowski and Galilean. Now, we'll give a little background on this unfamiliar geometry. The purpose of this paper is to introduce high school students to taxicab geometry, one type of non-Euclidean geometry in which a new metric to measure distance replaces the usual metric of Euclidean geometry.

Marsdenia tirunelvelica A. N. Henry & Subram. a rare and little known asclepiad, endemic to Southern Western Ghats has been rediscovered after a lapse of about 38 years since its type collection. To facilitate easy identification of the species a brief description and relevant notes are provided.

Histogram Equalization is a simple and effective contrast enhancement technique. In spite of its popularity Histogram Equalization still have some limitations –produces artifacts, unnatural images and the local details are not considered, therefore due to these limitations many other Equalization techniques have been derived from it with some up gradation. In this proposed method statistics play an important role in image processing, where statistical operations is applied to the image to get the desired result such as manipulation of brightness and contrast. Thus, a novel algorithm using statistical operations and neighborhood processing has been proposed in this paper where the algorithm has proven to be effective in contrast enhancement based on the theory and experiment.

This paper presents a multiple description coding method for HD image. The proposed method is bases on the SPIHT algorithm which provides high image compression ratio. The algorithm based on wavelet transforms and Wavelet-based compression provides multi-resolution hierarchical characteristics. This proposed method also uses poly phase sampling technique to generate multiple descriptions. The technique reduces the transmission error and memory required for storing HD images. The proposed method proved higher performances in terms of PSNR when compared to the standard SPIHT. The graph of PSNR versus BER is given in the experimental results.