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Changing trend in the programming pattern happening in Malayalam television channels due to FDI /
Malayalam television industry is unique in its own way and stand out for its unique elements from the other television industries in India. The researcher has tried to analyze the changing trend in the programing happening in Malayalam television channels due to the foreign direct investment happening in the industry. -
Changing trends in the Promotional Strategies of Indian Television Soap Operas
The television has been a primary source of entertainment for masses across the globe. In India itself, people within households are often glued to their television sets in order to be informed or entertained. Drama is a source of life for most people and hence the end up tuning into a variety of daily soap makes that area available to them. Television soap operas have grown tremendously over the past decades and different methods have been adopted and developed to promote these soap operas. The research aims to see how promotions of television soap operas in India have changed between 2008 and 2012 with an analysis of the different kind of strategies adopted by television networks to promote and advertise their different shows. -
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Characterization and Strength Assessment of Alkali-Activated Iron Ore Tailing Composite Bricks
The current study outlines a process for producing environmentally friendly bricks that can also compete successfully in today's highly competitive market. The use of iron ore tailings (IOT), which are typically disposed of as waste by the mining industry, is the subject of ongoing research for brick production. Bricks were made using IOT, which was obtained from iron ore mines in India's southern region. The study is based on the alkali-activation method of producing IOT bricks, which has been shown to be the most energy-efficient method of production. This is because, in contrast to the traditional method of producing bricks, the alkali-activation method emits fewer greenhouse gases. India has an abundance of iron ore deposits, which has resulted in extensive mining activities, which has resulted in an increase in waste generation, The waste is typically disposed of by being dumped in one of the dumping sites or dams near the mining area. These tailings pose a significant threat to the environment in their immediate vicinity. As a result, the use of IOT in brick manufacturing will reduce the mining industry's waste disposal burden. Furthermore, the use of IOT in the production of bricks will reduce the use of natural raw materials in the production of conventional bricks. Several types of brick composites were developed in this study by combining Ground Granulated Blast Furnace Slag (GGBS), Flyash, and IOT with a sodium silicate solution. Each raw material is analysed using particle size analysis (PSA), X-ray fluorescence (XRF), X-ray diffraction (XRD) and scanning electron microscopy (SEM. The newly developed IOT bricks were put through a series of tests to determine their strength and durability in accordance with Indian standards. The developed IOT bricks had a maximum compressive strength of up to 18.45N/mm2 while water absorption was not more that 12.6%. Furthermore, the bricks were subjected to a series of wetting and drying tests to determine their long-term durability in accordance with Brazilian regulations. Each of the results obtained was validated using microstructure analysis of the product that was developed. Furthermore, the study sought to determine the compression strength of alkali-activated IOT brick prisms when combined with mortar of varying strengths. Finally, it was determined that more than 50 percent of the IOT can be used in combination with GGBS, flyash, and sodium silicate solution as an alkali activator to produce high-quality bricks under ambient temperature curing conditions. -
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CHEMICAL REACTION INDUCED RAYLEIGH-B??NARD CONVECTION IN A DENSELY PACKED POROUS MEDIUM SATURATED WITH A COUPLE-STRESS FLUID
The problem of Rayleigh-Benard convection in a couple-stress fluid saturated densely packed porous medium with chemical reaction is studied within the framework of linear stability analysis. Only infinitesimal disturbances are considered. The linear stability analysis is based on the normal mode technique. The Darcy law is used to model the momentum equation. Closed form solution for the basic quiescent state is first obtained. The principle of exchange of stabilities is valid and the existence of oscillatory instability is ruled out. The expression for the stationary media-Darcy-Rayleigh number is obtained as a function of the governing parameters, viz., the wave number, the couple-stress parameter and the Frank-Kamenetskii number. The Galerkin method is used to determine the eigenvalues. The effect of various parameters on the stability of the fluid layer is discussed through figures. -
Chemical reaction induced Rayleigh-Benard convection in a densely packed porous medium saturated with a couple-stress fluid
The problem of Rayleigh-Benard convection in a couple-stress fluid saturated densely packed porous medium with chemical reaction is studied within the framework of linear stability analysis. Only infinitesimal disturbances are considered. The linear stability analysis is based on the normal mode technique. The Darcy law is used to model the momentum equation. Closed form solution for the basic quiescent state is first obtained. The principle of exchange of stabilities is valid and the existence of oscillatory instability is ruled out. The expression for the stationary media-Darcy-Rayleigh number is obtained as a function of the governing parameters, viz., the wave number, the couple-stress parameter and the Frank-Kamenetskii number. The Galerkin method is used to determine the eigenvalues. The effect of various parameters on the stability of the fluid layer is discussed through figures. -
CHEMICALLY DRIVEN RAYLEIGH-B??NARD CONVECTION IN A CHEMICALLY DRIVEN RAYLEIGH-B??NARD CONVECTION IN A SPARSELY DISTRIBUTED POROUS MEDIUM SATURATED WITH A COUPLE-STRESS FLUID SPARSELY DISTRIBUTED POROUS MEDIUM SATURATED WITH A COUPLE-STRESS FLUID
The problem of Rayleigh-Benard convection in a couple-stress fluid saturated sparsely distributed porous medium with chemical reaction is studied within the framework of linear stability analysis. Only infinitesimal disturbances are considered. The linear stability analysis is based on the normal mode technique. The Darcy-Brinkman law is used to model the momentum equation. Closed form solution for the basic quiescent state is first obtained. The principle of exchange of stabilities is valid and the existence of oscillatory instability is ruled out. The expression for the stationary media-Rayleigh number is obtained as a function of the governing parameters, viz., the wave number, the couple-stress parameter, the Frank-Kamenetskii number, the porous parameter and the Brinkman number. The Galerkin method is used to determine the eigenvalues. The effect of various parameters on the stability of the fluid layer is discussed through figures. -
Chemically driven Rayleigh-Benard convection in a sparsely distributed porous medium saturated with a couple-stress fluid
The problem of Rayleigh-Benard convection in a couple-stress fluid saturated sparsely distributed porous medium with chemical reaction is studied within the framework of linear stability analysis. Only infinitesimal disturbances are considered. The linear stability analysis is based on the normal mode technique. The Darcy-Brinkman law is used to model the momentum equation. Closed form solution for the basic quiescent state is first obtained. The principle of exchange of stabilities is valid and the existence of oscillatory instability is ruled out. The expression for the stationary media-Rayleigh number is obtained as a function of the governing parameters, viz., the wave number, the couple-stress parameter, the Frank-Kamenetskii number, the porous parameter and the Brinkman number. The Galerkin method is used to determine the eigenvalues. The effect of various parameters on the stability of the fluid layer is discussed through figures. -
CHILDREN INFLUENCE ON FAMILY PURCHASE DECISION
There are various aspects of the children influence on family purchase decision and it depends on a lot of parameters and situations. The children exercise various methods to influence parent??s decision. The children influence varies from products to products. It also depends on parent??s education, profession, income, single parent working or both parent working, number of working hours per week and type of family. The pocket money also contributes in the children??s influence. This research considers the children in the age group of 8-12. The Descriptive statistics is used to summarize variables in terms of central tendency and measure of dispersion. The Reliability test has been done using Cronbach??s alpha. Pearson??s Product correlation, one way ANOVA, Two-way ANOVA has been done using SPSS for Windows (version 18.0). The Linear regression is used to prove the causality between Independent variables on Dependent variable. The strategy adopted by children is mostly persuasive. The children??s influence is maximum for products bicycle, Ice Creams/chocolates/Juice and CDs/DVDs. There are few products like CDs/DVDs, video games and hobby activities which are used by the whole family and still children influence is higher than their parents on family purchase decision. It is the unanimous opinion from both parents and children that the children influence depend on profession as well as on the products. The ANOVA analysis on parent??s perception on children influence indicates that parent??s income impacts the children??s influence. The ANOVA analysis on parent??s perception on children influence indicates that parent??s working hour impacts the children??s influence. The relation between children influence and How many hours a week do you work average, Total Family Income and Amount you get from your parent on spending is linear. The pocket money, children get, is having highest impact on children influence. The second most influential parameter is the number of hours the parents work per week. -
Children's Well-Being in Traditional Vs. Montessori Schools. A test of Self-Determination Theory
The present study is a test of Self -Determination theory, which is well established in the field of education with a huge body of empirical evidence to support its assumptions that when the three universal psychological needs (Autonomy, Competence & Relatedness) of a child are met they will grow and function optimally leading to enhanced well-being. It is evident that Montessori philosophy is overlapping with the components of SDT. This study was conducted to examine the extent to which the three psychological needs are satisfied in Montessori schools in comparison to the Traditional schools. A purposive sample size of 80 children in elementary grades was selected from both Montessori and Traditional schools. Perceived support experienced by the children and their Well-Being was determined to establish the assumption of the SDT. The results showed that children in Montessori schools experienced greater satisfaction of needs when compared to traditional school children. However, the well-being of children from both school types didn???t vary much and the causes can be attributed to factors outside classroom. These findings have some strong implications for policy makers, educators and parents. -
Classification and Retrieval of Research Classification and Retrieval of Research Papers: A Semantic Hierarchical Approach
"Classification and Retrieval of Research papers: A Semantic Hierarchical Approach" demonstrates an effective and efficient technique for classification of Research documents pertaining to Computer Science. The explosion in the number of documents and research publications in electronic form and the need to perform a semantic search for their retrieval has been the incentive for this research. The popularity and the widespread use of electronic documents and publications, has necessitated the development of an efficient document archival and retrieval mechanism. Categorizing journal papers by assigning them relevant and meaningful classes, predicting the latent concept or the topic of research, based on the relevant terms and assigning the appropriate Classification labels is the objective of this thesis. This thesis takes a semantic approach and applies the text mining techniques in a hierarchical manner in order to classify the documents. The use of a lexicon containing domain specific terms (DSL) adds a semantic dimension to classification and document retrieval. The Concept Prediction based on Term Relevance (CPTR) technique demonstrates a semantic model for assigning concepts or topics to papers. This Thesis proposes a conceptual framework for organizing and classifying the research papers pertaining to Computer Science. The efficacy of the proposed concepts is demonstrated with the help of Classification experiments. Classification experiments reveal that the DSL technique of training works efficiently when categorization is based on keywords. The CPTR technique, on the other hand, shows very high accuracy; when the classification is based on the contents of the document. Both these techniques lend a semantic dimension to classification. Narrowing down the scope of search at each level of hierarchy enables time efficient retrieval and access of the goal documents. The hierarchical interface for Document Retrieval enables retrieval of the target documents by gradually restricting the scope of search at each level of hierarchy This work comprises of two main components. 1. The Framework for Hierarchical Classification. 2. The Hierarchical Interface for Document Retrieval. Two distinct techniques for classification are proposed in this thesis. These include 1. The use of Domain Specific Lexicon (DSL) which is comparable to a Domain Specific Ontology. 2. The Concept Prediction Based on Term Relevance (CPTR) technique These techniques lend a semantic dimension to classification. Keywords: Text Mining, Classification, Document Retrieval, Hierarchical, Domain specific lexicon (DSL), Probabilistic Latent Semantic Analysis (PLSA) , Concept Prediction based on Term frequency (CPTR) -
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Classification of Alzheimer's Disease Stages Using Machine Learning Techniques
Alzheimer s disease (AD) is a type of mental disorder which deteriorates the normal functioning of human brain by reducing the memory capacity of an individual. Age is the most common factor for AD and this disease cannot be reversed or stopped. Doctors can only treat the symptoms of AD which include personality changes and brain structural changes. Analyzing neuro-degenerative disorders, neuroimaging plays an important role in diagnosing subjects with AD and other stages of AD. The proposed research identified this gap and using MRI and PET newlineimages for recognizing AD in its early occurrences by the professionals. This helps in tailoring an appropriate treatment procedure for treating AD. As per literature survey, many researchers have worked with convolutional methods like inbuilt skull stripping with two or more conversions and classified with different CNN architectures. The proposed research experimented advanced skull stripping method and classified using deep learning architectures. This research emphasizes the implementation of ResNet50 architecture with T1 weighted MRI and Amyloid PET images for detecting the abnormalities in the brain patterns based on the image attributes. For the proposed experiment, a total of 5000 T1 weighted MRI data and 3000 newlineAmyloid PET data were used. The collected images were pre-processed with noise removal newlinetechniques and skull stripping method. The ResNet50 is used to classify AD from the data newlineobtained from the ADNI dataset. Pre-processed images /data were fed to the tuned for three class classification on ADNI image data at 200 Epochs shows the accuracy of 97.3% for T1 weighted MRI data and 98% for Amyloid PET data. The experimental results of the proposed model prove that it classifies the images according to various stages with better accuracy than the other existing models by achieving excellent results. -
Classification of extragalactic point sources and flux variability characteristics of blazars
Classification of different types of astronomical objects in large surveys usually done through spectroscopy requires enormous amounts of time. Hence, many attempts have been made using broad band photometric magnitudes and spectroscopic observations to classify the sources, particularly extragalactic sources such as active galactic nuclei (AGNs), starburst galaxies and normal galaxies. However, a method which does not involve spectroscopic data would be ideal. -
Classification of extragalactic point sources and flux variability characteristics of blazars
Classification of different types of astronomical objects in large surveys usually done through spectroscopy requires enormous amounts of time. Hence, many attempts have been made using broad band photometric magnitudes and spectroscopic observations to classify the sources, particularly extragalactic sources such as active galactic nuclei (AGNs), starburst galaxies and newlinenormal galaxies. However, a method which does not involve spectroscopic data would be ideal. With this in view, in this work we have made an effort to classify a sample of 37,492 point sources into Quasi-Stellar Objects (QSOs), galaxies and stars using template fitting technique and multiwavelength photometric magnitudes from the Sloan Digital Sky Survey (SDSS) and newlinethe Galaxy Evolution Explorer (GALEX) with coverage from the optical (z: 8931 to the far ultraviolet (FUV: 1516 . Templates for QSOs, galaxies and stars were used to fit the data of the objects to the seven photometric bands of SDSS and GALEX. The results were compared with SDSS spectroscopic classification. Two UV bands (NUV and FUV) were included to remove the possible degeneracies in the classification based only on optical bands or in color-color method. UV bands play a crucial role in the classification and characterization of astronomical objects that emit over a wide range of wavelengths, especially for those that are bright at UV. Classification using template fitting method is consistent with spectroscopic methods, provided UV information of the objects is available. UV bands are particularly important for separating quasars and stars, as well as spiral and starburst galaxies. We have achieved the efficiency of 89% for QSOs, 63% for galaxies and 84% for stars. Objects for which spectroscopic data is not available can also be classified using this method which does not require spectroscopic information. -
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Clonning and Characterization of An Exported Protein Present in the RD7 Region of Clinical Isolates of Mycobacterium Tuberculosis
The bacterium Mycobacterium tuberculosis is responsible for causing the disease newlinetuberculosis in mammals, which is regarded as one of the oldest diseases haunting the human race. The only available tuberculosis vaccine Bacillus Calmette-Guerine (BCG), is effective against childhood tuberculosis but is regarded as having low efficacy in conferring protection in the case of tuberculosis in adults. A comparison of the M. tuberculosis H37Rv strain and clinical isolates from Kerala had earlier revealed that the clinical strains have a distinctive 4.5 kb genomic sequence that is lacking from the H37Rv strain in the RD7 region. The RD7 is a distinctive genomic region that is absent in M. tuberculosis H37Rv and Mycobacterium bovis BCG strain. The 4.5 kb genomic sequence is projected to include 6 potential ORFs by newlineNCBI ORF prediction tool, one of which Novel Hypothetical Protein (NHP2) is anticipated to encode an exported protein with a length of 268 amino acids. Studies demonstrate that Mycobacterium tuberculosis secretory proteins such as the Ag85 complex, the ESAT-6 family protein, and the PE-PPE family proteins were newlineeffective vaccine candidates because they trigger T cells. Here, we present an indepth analysis of the exported protein, which is 268 amino acids long. The putative exported protein with a gene 807 bp long was PCR amplified and cloned in the expression vector pET-32a for expression. The protein was over expressed using Isopropyl D-1-thiogalactopyranoside (IPTG) and was isolated and purified using column chromatography. Bioinformatics studies were conducted to study the characteristics of the expressed protein. A novel putative mycobacterial protein discovered by subtractive hybridization was studied for its potential as a vaccine candidate using cutting-edge computer technologies. -
Cognitive Style and Academic Achievement among School Students
The aim of the present study was to explore cognitive style and academic achievement among school students using a quantitative approach. The study involved a total of 423 students from grade VIth and VIIth. Students from both private and government schools participated in the study. The study used group embedded figures test by Witkin et al. (1971) and classroom achievement test by Singh & Gupta (2007) to determine the participants field independent and dependent cognitive styles and academic achievement. T test was used to compare the academic achievement of field independent ?? field dependent cognitive style students. Whereas, two-way Anova test was done to analysis the interaction effect of grades, gender, and type of school along with cognitive style on academic achievement of students. The findings of the present research showed that there was a significant difference between field independent and dependent students' on academic achievement. It also revealed that students with field independent cognitive style performed significantly better than field dependent students. However grades had a significant main effect on academic achievement of students. There was no interaction effect found between grades and cognitive style on academic achievement of students. In addition, it was also found that there was no interaction effect of type of school and cognitive style on academic achievement of students. The findings of the study benefits teachers by indicating significant classroom implications which will help them to develop effective learning materials and strategies which are suitable for their student in order to utilize their cognitive style strength effectively. It helps students in making effective decisions regarding ones enrolment in higher education courses and career choices. Key Words: Field Independent-Dependent Cognitive Style, Academic Achievement, Grades, Gender and Type of School.