Rural Poverty and Inequality Maps in Vietnam: Estimation using Vietnam Household Living Standard Survey 2006 and Rural Agriculture and Fishery Census 2006

The objective of this paper is to estimate poverty and inequality for rural Vietnam at different levels of aggregation by combining the Vietnam Household Living Standard Survey (VHLSS) from 2006 and the Rural Agriculture and Fishery Census from the same year. Using the small area estimation method, we will produce estimates at the region, province at district level, and will consider both expenditure and income based measures. It is found that all provinces across the country have experienced a noticeable reduction in rural poverty during the period 1999-2006. Some of the largest reductions in poverty are observed for provinces with poverty rates close to the national average. Also the poorest provinces are experiencing reductions in poverty, albeit at a more modest pace. Provinces and districts with a larger poverty reduction in the period 1999-2006 tend to have a lower level of inequality in 2006. Results based on expenditure poverty estimates are found to be very similar to those based on income poverty estimates.Poverty measurement, poverty mapping, agricultural census, household survey, Vietnam

Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation

Preparing training data for deep vision models is a labor-intensive task. To address this, generative models have emerged as an effective solution for generating synthetic data. While current generative models produce image-level category labels, we propose a novel method for generating pixel-level semantic segmentation labels using the text-to-image generative model Stable Diffusion (SD). By utilizing the text prompts, cross-attention, and self-attention of SD, we introduce three new techniques: class-prompt appending, class-prompt cross-attention, and self-attention exponentiation. These techniques enable us to generate segmentation maps corresponding to synthetic images. These maps serve as pseudo-labels for training semantic segmenters, eliminating the need for labor-intensive pixel-wise annotation. To account for the imperfections in our pseudo-labels, we incorporate uncertainty regions into the segmentation, allowing us to disregard loss from those regions. We conduct evaluations on two datasets, PASCAL VOC and MSCOCO, and our approach significantly outperforms concurrent work. Our benchmarks and code will be released at https://github.com/VinAIResearch/Dataset-DiffusionComment: Accepted to NeurIPS 2023. Our project page: https://dataset-diffusion.github.io

Determination of the constant Wo for local geoid of Vietnam and it’s systematic deviation from the global geoid

Constant Wo, defining the geoid, has important applications in the area of physical geodesy. With the development of artificial Earth satellite, constant Wo for the global geoid approximating the oceans on Earth can be calculated from an expansion of spherical harmonics - Stokes constants determined by observation of perturbations in artificial satellite’s orbits. However, the Stokes constants are limited, therefore the geoid constant Wo could not be calculated for local geoid (state geoid) from the mentioned expansion of spherical harmonics. In this paper, we present a method to determine the constant Wo for local geoid of Vietnam, using generalized Bruns formula and Neyman boundary problem. The initial data used are Faye gravity anomalies surveyed on land and sea of Southern Vietnam. The constant Wo is then used to calculate the systematic deviation of the local geoid of Vietnam from the global geoid EGM - 96

Taylor's Series and Dispersion Relation Analyses of the Vector Pion Form Factor and their Comparison with Perturbative and Non Perturbative Calculations

The first three coefficients of the Taylor's series expansion of the vevtor pion form factor as a function of the momentum transfer are evaluated using the experimental data on the pion form factor and the P-wave $\pi\pi$ phase shifts. The real part of the form factor as a function of energy is also calculated by dispersion relation. Comparisons there results with Chiral Perturbation Theory and unitarized models are given

Updating Poverty Maps of Vietnam using Vietnam Household Living Standard Survey 2002 and Population Census 1999

Poverty map is an important for poverty targeting in developing countries. In this study, we combine the Vietnam Household Living Standard Survey (VHLSS) in 2002 and the Population Census in 1999 to estimate poverty and inequality indexes of all provinces and districts of Vietnam in the year 2002.Poverty measurement, poverty mapping, agricultural census, household survey, Vietnam.

Poverty and inequality maps for rural Vietnam: an application of small area estimation

The objective of the paper is to update the small area estimates of poverty and inequality for rural Vietnam. The new estimates of province and district level poverty for the year 2006, when combined with estimates available for 1999, allow for examination of how poverty has changed in rural Vietnam over the past seven years. The analysis finds that all provinces across the country experienced a noticeable reduction in rural poverty during the period 1999-2006. Some of the largest reductions in poverty are observed for provinces with poverty rates close to the national average. The poorest provinces have also experienced reductions in poverty, albeit at a more modest pace. Provinces and districts with lower levels of inequality in 2006 have seen above average poverty reductions. The authors consider both expenditure and income based measures of poverty and inequality, and find the results to be very similar.Rural Poverty Reduction,Regional Economic Development,Achieving Shared Growth,Services&Transfers to Poor

Factors Affecting Lecturer’s Commitment to Non-Public University: A Study in Ho Chi Minh City, Vietnam

By using SPSS 22.0 software to analyze the reliability through Cronbach’s alpha, EFA and AMOS 20.0 to modify the scale through CFA tool, test model through SEM, the study aimed to identify factors affecting lecture’s commitment to non-public university – a study in Ho Chi Minh city. Through  the offical survey with 510  samples,  the result showed the factors affecting lecture’s commitment including: satisfaction,  leadership and partnership.The satisfaction is the strongest factor. In other hand, the study identified that job satisfaction is affected by training, promotion, income.  Based on that, researcher raised some recommends to enhance the lecture’s commitment in  non-public  university. Keywords: non-public uinversity, commitment, lecture, job satisfactio