The Asthma Control Test (ACT) as an alternative tool to Global Initiative for Asthma (GINA) guideline criteria for assessing asthma control in Vietnamese outpatients

Prevention, Population and Disease management (PrePoD

Introducing an agricultural app to urban vegetable farmers: a pilot study in Hanoi

Plantix is an agricultural app which offers diagnosis and advice for more than 30 crops. It was developed by a private company based in Germany. It has a great potential as a new form of extension service complementing a traditional face-to-face extension service. CGIAR’s Plant Health Initiative seeks to introduce the app as part of a package of innovations available for integrated pest and disease management to facilitate farmers’ behavioral change. Plantix has been widely used in India, but it has not been very common yet in Vietnam. The aim of this pilot study is to test the usability of Plantix app for urban vegetable growers in Hanoi, Vietnam. 12 farmers (6 women and 6 men) participated in the training on how to use the app and provided feedback after a two-week trial. Results show that both women and men farmers are greatly interested in using the app. Some farmers purchased and sprayed appropriate pesticides following advice from the app. Each participant shared the app with 2-5 relatives, friends and/or neighbors. Women shared the app with their husbands as well as their female peers, while men tended to share it with their male peers. Although this pilot study confirms the usability of the app in the urban context of Vietnam with few constraints in access to internet and digital literacy for both women and men, some adjustments are required to meet their needs and to fit with the context

Development of an innovative subunit vaccine against toxoplasmosis

International audienc

Porous nanoparticles as delivery system of complex antigens for an effective vaccine against Toxoplasma gondii infection

National audienc

Direct whole-genome deep-sequencing of human respiratory syncytial virus A and B from Vietnamese children identifies distinct patterns of inter- and intra-host evolution

10.1099/jgv.0.000298Journal of General Virology96123470-348

Ultralight vector dark matter search using data from the KAGRA O3GK run

International audienceAmong the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for $U(1)_{B-L}$ gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the $U(1)_{B-L}$ gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM