Training Needs of Farm Women Towards Entrepreneurial Development

The study revealed that majority (45.83%) of the Farm women had medium training need and 30.83 per cent of them had high training need in case of homestead vegetable production. In term of training need in nursery establishment, about 45.00 per cent of the Farm women fell under medium training need category while 35.00 per cent of them fell under high training need category. As regards to their training needs in livestock & poultry rearing, the majority (49.17%) of the Farm women had high training needs compared to 35.00 per cent of them having medium training needs. A big share (40.83%) of the Farm women had high training needs in food processing, while 33.33 per cent of them had medium training needs. Farmers’ education, farm size, annual income, organizational participation and agricultural knowledge showed negative significant correlation, while fatalism had significant positive association with the training needs. The major problems faced by the Farm women in carrying out their EDPs were: lack of capital/credit, lack of irrigation water, lack of land, lack of knowledge about insect/disease control, marketing & communication facilities and attack of birds/animals, etc

Aeroelastic effects in multirotor vehicles. Part 2: Methods of solution and results illustrating coupled rotor/body aeromechanical stability

This report is a sequel to the earlier report titled, Aeroelastic Effects in Multi-Rotor Vehicles with Application to Hybrid Heavy Lift System, Part 1: Formulation of Equations of Motion (NASA CR-3822). The trim and stability equations are presented for a twin rotor system with a buoyant envelope and an underslung load attached to a flexible supporting structure. These equations are specialized for the case of hovering flight. A stability analysis, for such a vehicle with 31 degrees of freedom, yields a total of 62 eigenvalues. A careful parametric study is performed to identify the various blade and vehicle modes, as well as the coupling between various modes. Finally, it is shown that the coupled rotor/vehicle stability analysis provides information on both the aeroelastic stability as well as complete vehicle dynamic stability. Also presented are the results of an analytical study aimed at predicting the aeromechanical stability of a single rotor helicopter in ground resonance. The theoretical results are found to be in good agreement with the experimental results, thereby validating the analytical model for the dynamics of the coupled rotor/support system

Comparison of experimental coupled helicopter rotor/body stability results with a simple analytical model

The results of an analytical study aimed at predicting the aeromechanical stability of a helicopter in ground resonance, with the inclusion of aerodynamic forces are presented. The theoretical results are found to be in good agreement with the experimental results, available in literature, indicating that the coupled rotor/fuselage system can be represented by a reasonably simple mathematical model

Aeroelastic effects in multi-rotor vehicles with application to a hybrid heavy lift system. Part 1: Formulation of equations of motion

This report presents a set of governing coupled differential equations for a model of a hybrid aircraft. The model consists of multiple rotor systems connected by an elastic interconnecting structure, with options to add any combination of or all of the following components; i.e., thrusters, a buoyant hull, and an underslung weight. The dynamic equations are written for the individual blade with hub motions, for the rigid body motions of the whole model, and also for the flexible modes of the interconnecting structure. One of the purposes of this study is to serve as the basis of a numerical study aimed at determining the aeroelastic stability and structural response characteristics of a Hybrid Heavy Lift Airship (HHLA). It is also expected that the formulation may be applicable to analyzing stability and responses of dual rotor helicopters such as a Heavy Lift Helicopter (HLH). Futhermore, the model is capable of representing coupled rotor/body aeromechanical problems of single rotor helicopters

Methods for projection of HIV/AIDS epidemic. In: Epidemiology, Health and Population (Statistical Applications)

There has been substantial interest worldwide in understanding the current state of HIV/AIDS epidemic and prediction of its future path throughout the pandemic. The various approaches that have been developed to provide the description of HIV spread and modeling the transmission processes for short-term and long-term projections will be reviewed in this paper. Some of the recent developments in combining forecasting techniques with surveillance data-basis for more valid projections will be discussed

Markov chain monte Carlo methods in Bayesian Inference

The Markov Chain Monte-Carlo (MCMC) born in early 1950s has recently aroused great interest among statisticians, particularly researchers working in image analysis, discrete optimization, neural networks, genetic sequencing and other related Eelds. Recent theoretical achievements in resampling procedures provide a new perspective for handling errors in Bayesian inference, which treats all unknowns as random variables. The unknowns include uncertainties in the model such as fixed effects, random effects, unobserved indicator variables and missing data. Only in few cases, the posterior distribution is in standard analytic form. In most other models like generalized linear models, mixture models, epidemiological models and survival analysis, the exact analytic Bayesian inference is impossible. This paper surveys some of the recent advances in this area that allows exact Bayesian computation using simulations and discusses some applications to biomedical data

Mathematical modeling in Medical Sciences

This article mainly concerns with mathematical modelling in medicine. There is one area in medicine namely pharmaco- kinetics which have already been mathematicized. There are large areas in medical science which are not amenable to mathematical treatment, and modelling constantly endeavour to widen the areas to which mathematical techniques can be applied for gaining a better insight, and help deepen our understanding of those areas which have already been mathematicized. The skills needed to be successful in applying mathematics are quite different from those needed to understand concepts, to prove theorems or to solve equations. The difficulty is not in learning and understanding the mathematics involved but in seeing where and how to apply it. In this paper an attempt is made to demonstrate the essentials of mathematical modelling without going deep in to the details on specialised topics