Hoang Nguyen

• Research Manager at Infsu

Background To ensure that health services are high-quality, trusted and used by the population, their design and improvement should start from the perspective of what matters to people. Patient journey mapping (PJM) is one research method that centers the experiences of individuals living with health conditions and follows their pathways through ca...

Flyrock from blasting in open-pit mining is one of the most dangerous occurrences that can cause accidents to workers, damage to machinery and equipment and even fatalities. Therefore, quick and reliable prediction of blast-induced flyrock distance (BIFRD) in open-pit mines is very crucial to ensure the safety of the surrounding environment. In thi...

Meloidogyne spp. (root-knot nematodes, RKN) are a major threat to a wide range of agricultural crops worldwide. Breeding crops for RKN resistance is an effective management strategy, yet assaying large numbers of breeding lines requires laborious bioassays that are time-consuming and require experienced researchers. In these bioassays, quantifying...

In Vietnam and the Philippines, viral hepatitis is the leading cause of cirrhosis and liver cancer. This study aims to understand the barriers and enablers of people receiving care for hepatitis B and C to support both countries' efforts to eliminate viral hepatitis as a public health threat by 2030. Retrospective, semi‐structured interviews were c...

Problem drgań gruntu wywołanych pracami strzałowymi stanowi istotne wyzwanie środowiskowe w kopalniach odkrywkowych, wymagające precyzyjnych prognoz i środków kontroli. Chociaż modele sztucznej inteligencji i uczenia maszynowego są obiecujące w rozwiązaniu tego problemu, ich dokładność pozostaje znaczącym problemem ze względu na ograniczone zmienne...

Chronic viral hepatitis is a significant public health concern in the Western Pacific, including in Vietnam and the Philippines. To accelerate progress toward meeting the 2030 elimination goals, the World Health Organization (WHO) encourages countries to adopt an integrated, people-centered health sector response to hepatitis, grounded in Primary H...

Background An estimated 70% of hospital-associated infections (HAIs) could be prevented if evidenced-based practices were consistently implemented. However, a recent study found that only 15% of health facilities globally met WHO infection prevention and control (IPC) minimum requirements. Strategies are needed to close this “Know-Do-Gap”, particul...

The team discovery task is concerned with finding a group of experts from a collaboration network who would collectively cover a desirable set of skills. Most prior work for team discovery either adopt graph-based or neural mapping approaches. Graph-based approaches are computationally intractable often leading to sub-optimal team selection. Neural...

Shape estimation of sweetpotato (SP) storage roots is inherently challenging due to their varied size and shape characteristics. Even measuring "simple" metrics, such as length and width, requires significant time investments either directly in-field or afterward using automated graders. In this paper, we present the results of a model that can per...

Objectives: SARS-CoV-2 is a novel and highly infectious virus. An effective response requires rapid training of healthcare workers (HCWs). We measured the change in knowledge related to COVID-19 and associated factors before and after training of HCWs in Vietnam. Methods: A quasi-experimental design was used to evaluate HCW knowledge related to pre...

Many real-world networks, such as social networks, contain structuralheterogeneity and experience temporal evolution. However, while therehas been growing literature on network representation learning, only afew have addressed the need to learn representations for dynamic hetero-geneous networks. The objective of our work in this paper is to introd...

The team discovery task is concerned with finding a group of experts from a collaboration network who would collectively cover a desirable set of skills. Most prior work for team discovery either adopt graph-based or neural mapping approaches. Graph-based approaches are computationally intractable often leading to sub-optimal team selection. Neural...

StarNAV is a method for inferring an observer’s velocity from measurements of starlight that have been perturbed by stellar aberration. This usually takes the form of measuring changes in inter-star angles as compared to a reference. Usable velocity estimates require either the measurement of (1) a few inter-star angles with high accuracy or (2) a...

Medical education reforms are a crucial component to ensuring healthcare systems can meet current and future population needs. In 2010, a Lancet commission called for ‘a new century of transformative health professional education’, with a particular focus on the needs of low-income and-middle-income countries (LMICs), such as Vietnam. This requires...