115 research outputs found
A STUDY ON THE IMPACT OF CASH TRANSFER PROGRAM IN KACHIN STATE, MYANMAR (Case Study of Waingmaw and Chiphwe Townships) (Oo Win Naing, 2019)
This study focused on impact of Cash Transfer Program to Internal Displaced Person (IDP) in Waingmaw and Chiphwe townships which are in Kachin State. This study used descriptive method and is cross-sectional study. It targeted the IDP’s community in the Waingmaw and Chiphwe townships, who have received Cash assistance to cover their food security, to explore on impact of CTP via the questionnaire. This study has learnt that Cash Transfer Program (CTP) has led to a significant increase in household food insecurity of internal displaced people in Kachin State with 87% households were found at above acceptable HDDS score and 78% of the respondent households were above acceptable food consumption score. However, the amount of cash the beneficiaries supported with is not enough to cover the HHs food needs and others, particularly health, education and investment in livelihood. The cash transfer value to meet the food basket value and others alternative food assistance and/or livelihood support should be sought to address the need of the communities. The implementing organizations should design CTP to address IDP concerns and support the stability and sustainability of food supplies
Effects of Parents Socioeconomic Status on Educational Achievement of Students (Case Study: Dagon Myothit(South) Township Yangon Region) (Win Naing Oo, 2024)
This study analyzes the effect of parents’ socioeconomic status on educational
achievement of students. The descriptive method is used in this study. Primary data is
obtained through structured questionnaires and 200 students are randomly selected
from four basic education high school students in Dagon Myothit (South) Township,
Yangon Region. The findings from the survey demonstrate a clear correlation between
the educational level and socioeconomic status of parents, and the educational
achievements of their children. Regarding the parental involvement in children's
education, most parents engage in discussions with their children about the importance
of education, designate specific areas for studying, regularly review their children's
academic progress, and attend educational events. The study suggests that parents
should make an effort to visit schools regularly, build a strong support with teachers,
and engage in discussions about their children's academic development
A comparison study on particle swarm and Evolutionary Particle Swarm Optimization using capacitor placement problem
Learning the role of regulator in emerging multi-energy market: A simulation approach with agents
Multi-energy retail market simulation with autonomous intelligent agents
Tese de doutoramento. Engenharia Electrotécnica e de Computadores. 2005. Faculdade de Engenharia. Universidade do Port
Confirmation of Skywalker Hoolock Gibbon (Hoolock tianxing) in Myanmar Extends Known Geographic Range of an Endangered Primate
Evolutionary algorithms and Evolutionary Particle Swarms (EPSO) in modeling evolving energy retailers
This paper provides evidence that Evolutionary Particle Swarm Algorithms outperform Genetic Algorithms in deriving optimal strategic decisions for an Energy Retailer, in the framework of a complex simulation of a multiple energy market, based on an Intelligent Agent FIPA-compliant open source platform
Web-based Decision Support System with Group Buying using Analytic Hierarchy Process
In electronic market places, group buying is seen as an effective form of electronic commerce. When buyers cooperate with each other, a seller can discount the price of a good. In existing group buying sites, each buyer preference may not be reflected effectively. This system implements a decision support system (DSS) for group buying based on buyer’s preferences. DSS is an interactive system that provides the user with easy access to decision models and data in order to support semi-structure and/or unstructured decision making task. This system is intended to develop a computerized system for some functions of house trading. The aim of this paper is to develop the web-based decisions support system for house selection using Analytical Hierarchical Process (AHP). The AHP appears to be a flexible decision making tool for multi-criteria problems such as selection of the best house
Planning system robustness regarding voltage stability using a genetic algorithm based approach
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