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Our work addresses the problem of unsupervised Aspect Category Detection using a small set of seed words. Recent works have focused on learning embedding spaces for seed words and sentences to establish similarities between sentences and aspects. However, aspect representations are limited by the quality of initial seed words, and model performances are compromised by noise. To mitigate this limitation, we propose a simple framework that automatically enhances the quality of initial seed words and selects high-quality sentences for training instead of using the entire dataset. Our main concepts are to add a number of seed words to the initial set and to treat the task of noise resolution as a task of augmenting data for a low-resource task. In addition, we jointly train Aspect Category Detection with Aspect Term Extraction and Aspect Term Polarity to further enhance performance. This approach facilitates shared representation learning, allowing Aspect Category Detection to benefit from the additional guidance offered by other tasks. Extensive experiments demonstrate that our framework surpasses strong baselines on standard datasets., Comment: Accepted to EMNLP 2023

In recent years, foreign direct investment (FDI) has played an important role in Bac Ninh’s economic restructuring. Of all provinces, Bac Ninh has always been leading the way for attracting foreign investment in Vietnam. The goal of this article is to study the relationship between FDI and the structure of economy of Bac Ninh. We use Ordinary Least Squares regression (OLS) to analyze the influence of the province’s FDI on its economic restructuring over the period from 2009 to 2019. The result partly shows that the FDI has had a strong impact on Bac Ninh’s economic restructuring in both speed and quality. Through these findings, we propose several recommendations for the local authorities to continue to attract the FDI and reinforce the positive impacts of the FDI on the province’s economic restructuring in the future. Keywords: Bac Ninh, foreign direct investment (FDI), economic restructuring, OLS DOI: 10.7176/EJBM/12-15-03 Publication date:May 31st 2020

This report, based on the main findings from a large-scale longitudinal study of rural health care in Viet Nam from 2008 to 2016, aims to develop the basic components of effective commune health center (CHC) models for different rural areas in Viet Nam.CHCs form the grassroots public health care system in rural Viet Nam, where two-thirds of the country's people live. The centers provide basic preventive care along with initial diagnoses, treatments and referrals to public hospitals.The report includes:A toolkit for assessing CHCs in different contexts identifying best practicesAn analysis of three models for the effective CHCPolicy recommendations aimed at developing major components of CHC models

平成23年度科学研究費補助金基盤研究（B）報告書 「ベトナム教育改革の質的向上を支える授業研究－日越地域間共同－」

Antimicrobial resistance (AMR) is a top global public health threat. Antimicrobial use (AMU) and AMR in food producing animals have been identified as sources that significantly contribute to the overall burden of AMR worldwide. Using the framework of longitudinal and cross-sectional cohorts of small-scale native chicken flocks in the Mekong Delta region of Vietnam, I characterized the dynamics of AMR over time and its relation to AMU and investigated potential transmission of AMR between chickens and humans and of Streptococcus suis between pigs and chickens. Firstly, I developed and evaluated a microdilution method to quantitative estimate colistin resistance based on the testing of mixtures of Escherichia coli strains from pooled faecal samples. This method correlates well with single-colony analysis and may allow affordable monitoring colistin resistance in animal feces from flocks/herds. Secondly, using data and samples collected longitudinally from 83 chicken flocks over the production cycle, I quantified antimicrobial resistance genes (ARGs) in chickens at day-old, mid- (2 months) and end-production (4-6 months). ARG abundance significantly increased from day-old to mid production chickens (p= 0.007) and slightly decreased at the end of the cycle (p= 0.198). Despite the higher degree of AMU in the early stage (average 736.7 ADDkg per 1,000 chicken-days) compared to the later period of chicken life (average 52.1), the association of AMU and ARG abundance was stronger during later period (increase 254%). Next, I investigated the impact of an intervention consisting of the provision of veterinary support to farmers on chicken gut resistome. The intervention resulted in a 74.2% reduction in AMU (p= 0.002) in flocks, associated with a 17.5% reduction in ARG abundance (p= 0.438). Next, I described the phenotypic AMR patterns of E. coli from humans and chickens using a cross-sectio