Determinants of Consumer Purchase Decisions of Health Insurance in Kerala

This research work was to study the level of awareness of consumers about health insurance concept and market, consumer perceptions about health insurance providers, schemes and various factors that influence buying decision of health insurance. There is need to bring entire age group – high risk and low risk under health insurance cover. Widening the cover of health insurance calls for indepth understanding of consumer thinking and extensive marketing efforts based on that. Hence the study of consumer perceptions and the impact of different contributing factors on consumer purchase decision assume significance to the marketer. Understanding the consumer thinking on health insurance will also be of relevance to governmental/non governmental agencies, as affordable health care to all is a policy objective of the government and new schemes are being launched in this area.

‘Driving Forces of Investment Decisions in Mutual Funds’

Unfortunately, in India it is a fact that most of the investors are not interested in mutual funds. Those who are investing, they are investing only very small amounts. But what is important to be noted here is that when compared to other financial instruments, investments in mutual funds are safer and also yields more returns on the investment portfolio. Moreover as an investment avenue mutual fund is available for those investors who are not willing to take any exposure directly in the security market. It also helps such investors to build their wealth over a period of time. At the retail level, investors are unique and are highly heterogeneous, and the mutual fund schemes' selection will also differ depends on their expectations. Hence, investors’ expectation is a very important factor in this regard that needs to be analysed by all the investment houses. Hence, the factors that drive the investment decisions of individual investors to meet their expectations by investing money in mutual funds need an in-depth analysis. These driving forces include the preference of investors on mutual fund compared to various available avenues of financial investments, risk attitude of investors, influence of characteristics of instruments of mutual funds on investors, the investment specific attitudes of investors, and influence of qualities of fund management on investors. The success of any mutual fund, a popular means of investment, depends on how effectively an Asset Management Company has been able to understand the level of influence of these factors on the decision of investors to invest in mutual funds. For a substantial growth in the mutual fund market, there must be a high level precision in the design and marketing of the products of mutual funds taking into account these driving forces by the Asset Management Companies. Therefore, there is a need to conduct a detailed study on investments in mutual funds in this direction. A review of available literature also revealed that no detailed study on mutual funds has so far been attempted in this direction; hence the present study on Driving Forces of Investment Decisions in Mutual Funds is undertaken.

COMBINED FEATURE EXTRACTION TECHNIQUES AND NAIVE BAYES CLASSIFIER FOR SPEECH RECOGNITION

Speech processing and consequent recognition are important areas of Digital Signal Processing since speech allows people to communicate more natu-rally and efficiently. In this work, a speech recognition system is developed for re-cognizing digits in Malayalam. For recognizing speech, features are to be ex-tracted from speech and hence feature extraction method plays an important role in speech recognition. Here, front end processing for extracting the features is per-formed using two wavelet based methods namely Discrete Wavelet Transforms (DWT) and Wavelet Packet Decomposition (WPD). Naive Bayes classifier is used for classification purpose. After classification using Naive Bayes classifier, DWT produced a recognition accuracy of 83.5% and WPD produced an accuracy of 80.7%. This paper is intended to devise a new feature extraction method which produces improvements in the recognition accuracy. So, a new method called Dis-crete Wavelet Packet Decomposition (DWPD) is introduced which utilizes the hy-brid features of both DWT and WPD. The performance of this new approach is evaluated and it produced an improved recognition accuracy of 86.2% along with Naive Bayes classifier.

Unconstrained Handwritten Malayalam Character Recognition using Wavelet Transform and Support vector Machine Classifier

This paper presents the application of wavelet processing in the domain of handwritten character recognition. To attain high recognition rate, robust feature extractors and powerful classifiers that are invariant to degree of variability of human writing are needed. The proposed scheme consists of two stages: a feature extraction stage, which is based on Haar wavelet transform and a classification stage that uses support vector machine classifier. Experimental results show that the proposed method is effective

Using Neural Network Classifier Support Vector Machine Regression for the prediction of Melting Point of Drug – like compounds

In our study we use a kernel based classification technique, Support Vector Machine Regression for predicting the Melting Point of Drug – like compounds in terms of Topological Descriptors, Topological Charge Indices, Connectivity Indices and 2D Auto Correlations. The Machine Learning model was designed, trained and tested using a dataset of 100 compounds and it was found that an SVMReg model with RBF Kernel could predict the Melting Point with a mean absolute error 15.5854 and Root Mean Squared Error 19.7576

Implementation of a Neural Network Classifier for Noise Sources in the Ocean

The paper investigates the feasibility of implementing an intelligent classifier for noise sources in the ocean, with the help of artificial neural networks, using higher order spectral features. Non-linear interactions between the component frequencies of the noise data can give rise to certain phase relations called Quadratic Phase Coupling (QPC), which cannot be characterized by power spectral analysis. However, bispectral analysis, which is a higher order estimation technique, can reveal the presence of such phase couplings and provide a measure to quantify such couplings. A feed forward neural network has been trained and validated with higher order spectral features

Factors affecting farmers’ decisions on utilization of rice straw compost in Northeastern Thailand

Rice straw is used in Northeastern Thailand as an alternative to organic fertilizer for crop production. This enables farmers to reduce the use of chemical fertilizers which leads to a decrease in production costs. In spite of the beneficial effects in agricultural production, rice straw compost cannot be produced in large amounts because the burning of rice straws is a common farming practice. The decisions of farmers who use rice straw compost have been investigated by interviewing 120 households belonging to the members of an organic fertilizer user group using a household questionnaire. The study was conducted to evaluate the factors that affect the use of rice straw compost in Khon Kaen Province in Northeastern Thailand. Results of the logit model showed that the farmers’ education, number of rice straw compost trainings in which the farmer participated, lack of knowledge about technology, insufficient labour and difficulty in making rice straw compost had a significant impact on the farmer’s decision to use rice straw compost. Difficulty in making rice straw compost appeared to be the root cause because the procedure of making rice straw compost is complex and labour intensive. Repeated trainings thus, will have a positive and significant influence on farmers’ adoption of the technology. Training provides more knowledge and will presumably change the perception of the farmers towards new technologies and the awareness of positive effects of rice straw compost utilization.

An analysis of household farm investment decisions under varying land tenure arrangements in Ghana

Land tenure insecurity is widely perceived as a disincentive for long-term land improvement investment hence the objective of this paper is to evaluate how tenure (in)security associated with different land use arrangements in Ghana influenced households’ plot level investment decisions and choices. The paper uses data from the Farmer-Based Organisations (FBO) survey. The FBO survey collected information from 2,928 households across three ecological zones of Ghana using multistaged cluster sampling. Probit and Tobit models tested the effects of land tenancy and ownership arrangements on households’ investment behaviour while controlling other factors. It was found that marginal farm size was inversely related to tenure insecurity while tenure insecurity correlate positively with value of farm land and not farm size. Individual ownership and documentation of land significantly reduced the probability of households losing uncultivated lands. Individual land ownership increased both the probability of investing and level of investments made in land improvement and irrigation probably due to increasing importance households place on land ownership. Two possible explanations for this finding are: First, that land markets and land relations have changed significantly over the last two decades with increasing money transaction and fixed agreements propelled by population growth and increasing value of land. Secondly, inclusion of irrigation investment as a long term investment in land raises the value of household investment and the time period required to reap the returns on the investments. Households take land ownership and duration of tenancy into consideration if the resource implications of land investments are relatively huge and the time dimension for harvesting returns to investments is relatively long.

The Benefits of Re-Evaluating Real-Time Fulfillment Decisions

At the time of a customer order, the e-tailer assigns the order to one or more of its order fulfillment centers, and/or to drop shippers, so as to minimize procurement and transportation costs, based on the available current information. However this assignment is necessarily myopic as it cannot account for all future events, such as subsequent customer orders or inventory replenishments. We examine the potential benefits from periodically re-evaluating these real-time order-assignment decisions. We construct near-optimal heuristics for the re-assignment for a large set of customer orders with the objective to minimize the total number of shipments. We investigate how best to implement these heuristics for a rolling horizon, and discuss the effect of demand correlation, customer order size, and the number of customer orders on the nature of the heuristics. Finally, we present potential saving opportunities by testing the heuristics on sets of order data from a major e-tailer.

Planning and Scheduling Decisions in Supply Chains with Multiple Supply Modes: An Integrated Approach

We address the problem of jointly determining shipment planning and scheduling decisions with the presence of multiple shipment modes. We consider long lead time, less expensive sea shipment mode, and short lead time but expensive air shipment modes. Existing research on multiple shipment modes largely address the short term scheduling decisions only. Motivated by an industrial problem where planning decisions are independent of the scheduling decisions, we investigate the benefits of integrating the two sets of decisions. We develop sequence of mathematical models to address the planning and scheduling decisions. Preliminary computational results indicate improved performance of the integrated approach over some of the existing policies used in real-life situations.

The importance of reading difficulties and family in teachers' decisions to retain children : a case study in Costa Rica

Resumen tomado de la publicaci??n

Estudi dels processos cognitius desenvolupats per l'esportista durant la presa de decisions.

Resumen tomado de la publicación. Contiene ilustración del proceso de toma de decisiones; esquemas de componentes tácticos en la prestación futbolística, de entrevista y de fase de investigación

Study habits inventory of physical therapy students in a decisions making class

Objective. To present the results of Study Habits Inventory, administered to students of the signature Decision Making IV, of Physiotherapy Program of the Rosario University. Methodology. It was investigated in the second half of 2006, study habits and conditions that influence how students of the subject assumes its university activity. The instrument used was the Inventory of Study Habits - described by Pozar, which let to know how the student engages in his studio, materials, environment and planning in its efforts to exercise their academic role. It was administered to a sample of 46 students enrolled in the 54 subjects at 85% of the total population. Results. 33% of students found that the environmental study is not satisfactory to the learning process, similar to the 41% who said that the planning study is insufficient, the use of materials was evaluated by 61% of students as a positive factor as well as 93% in the category of assimilation of content. This calls to validate the need to confront the meaning and significance for students and professors “content assimilation” as the study shows that it is reverse to academic performance. Discussion It is necessary to implement strategies that strengthen habits in students to achieve academic success and personal training considering the particular conditions of each group of students.

La comissió de coordinació pedagògica com a marc de reflexió i de presa de decisions. ' La comisión de coordinación pedagógica como marco de relexión de toma de decisiones'.

Documento incluido en el volumen 'Experiències d'innovació educativa. Aspectes organitzatius'. La finalidad de esta comunicación es contribuir a la reflexión y aportar algunas experiencias sobre formas de organización facilitadoras del trabajo en grupo para reflexionar y tomar decisiones respecto a cuestiones pedagógicas básicas que afectan a todo el centro..

Autoexploració i maduresa vocacional en la presa de decisions dels alumnes de BUP. 'Autoexploración y madurez vocacional en la toma de decisiones de los alumnos de BUP'.

1) La realización del Programa de orientación autoadministrable y autoevaluable, como es el 'Career Decision-Making Sistem' de Harrington y O'Shea, por parte de los alumnos de segundo y tercero de BUP incrementa su madurez vocacional y por lo tanto mejora la toma de decisiones académicas y profesionales. 2) El nivel de definición de la decisión vocacional que poseen los alumnos de segundo y tercero de BUP viene determinada por los siguientes factores: estudio de los padres, orientación académico-profesional previamente recibida, autoconcepto como estudiante, actitud de la familia hacia los estudios de los hijos, inteligencia general, rendimiento académico y madurez vocacional. 3) Conocer la evolución académica de la muestra, analizar su estabilidad o cambio en la decisión vocacional y sus motivos, estudiar la muestra. Muestra que accecede a estudios universitarios. Primeramente, se desarrolla una parte descriptiva que nos sitúa en la temática. Posteriormente, se desarrolla una parte experimental: A) Establece el diseño de grupo control con post-test. El tratamiento consistirá en la realización del CDM y como post-test se utilizará el Career Development Inventory (CDI). B) Se realiza un estudio 'ex-post-facto' basado en la observación y el estudio de los hechos o datos. C) Se lleva a cabo un estudio de seguimiento a través de la contrastación de la línea de base inicial y las situaciones acaecidas transcurrido un tiempo. Material que compone el CDM: manual, cuaderno de autoexploración, hoja interpretativa del perfil profesional, instrucciones para el uso de la hoja interpretativa. CDI. Test D-70. Encuesta. Listado de calificaciones. A) Prueba T de Student. B) Prueba H de Kruskal-Wallis (variables cualitativas) y análisis de varianza (variables cuantitativas). C) Análisis comparativo. -Se acepta la hipótesis 1. -Se rechaza la hipótesis 2. -El empleo del cuaderno de autoexploración en un plan de orientación profesional es interesante porque provoca un incremento de la madurez vocacional. -En el paso de segundo a tercero de BUP se produce un estadio de notable crecimiento vocacional. -Es necesario hacer una profunda revisión de la adaptación del CDI para que resulte válido y fiable. -La acción orientadora no únicamente debe procurar evitar el fracaso sino también ayudar a la oferta de vías alternativas para los que no pueden seguir un determinado nivel de estudios.