Review of Pioneer Girl, by Bich Minh Nguyen

DN

A livelihoods study of fishers and farmers in Thai Nguyen Province

This is the report of a livelihoods study team working together with members of two communes in Quang Tri Province, Vietnam. The study is based on information provided by the commune members, who shared their knowledge and spoke about real problems they face with their livelihoods. The study was conducted from 10-30 October 2001. The team worked with key informants in two communes, Dan Tien in Vo Nhia District and Phuong Tien in Dinh Hoa District, who participated in discussions and represented households in the commune. The livelihoods studies in Dan Tien and Phuong Tien communes explored existing human, labor and natural resources as well as other factors affecting people’s livelihoods. (PDF contains 32 pages

Interview with Nguyen Be

An interview with Nguyen Be regarding his experiences during the Vietnam War Era.https://scholars.fhsu.edu/lansdale_interviews/1002/thumbnail.jp

From gating to computational flow cytometry: Exploiting artificial intelligence for MRD diagnostics

The era of AI-based methods to improve flow cytometry diagnostics in haematology is now at the beginning. The study by Nguyen and colleagues explored an emerging machine learning approach to assess phenotypic MRD in chronic lymphocytic leukaemia patients, showing that such AI-driven computational analysis may represent a robust and feasible tool for advanced diagnostics of haematological malignancies.Commentary on: Nguyen et al. Computational flow cytometry provides accurate assessment of measurable residual disease in chronic lymphocytic leukaemia. Br J Haematol 2023 (Online ahead of print). doi

Creating chimeras: Embryonic stem cells incorporated

Gene modification within the murine genome has become a powerful and invaluable tool to investigate development. One example of the utility of such technology is providing a method by which researchers can follow cells throughout development via the introduced genetic modifications.Fil: Pascottini, Osvaldo Bogado. University of Chicago; Estados UnidosFil: Goszczynski, Daniel Estanislao. University of Chicago; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Nguyen, Alexandra L.. University of Chicago; Estados Unido

A Power-Aware Framework for Executing Streaming Programs on Networks-on-Chip

Nilesh Karavadara, Simon Folie, Michael Zolda, Vu Thien Nga Nguyen, Raimund Kirner, 'A Power-Aware Framework for Executing Streaming Programs on Networks-on-Chip'. Paper presented at the Int'l Workshop on Performance, Power and Predictability of Many-Core Embedded Systems (3PMCES'14), Dresden, Germany, 24-28 March 2014.Software developers are discovering that practices which have successfully served single-core platforms for decades do no longer work for multi-cores. Stream processing is a parallel execution model that is well-suited for architectures with multiple computational elements that are connected by a network. We propose a power-aware streaming execution layer for network-on-chip architectures that addresses the energy constraints of embedded devices. Our proof-of-concept implementation targets the Intel SCC processor, which connects 48 cores via a network-on- chip. We motivate our design decisions and describe the status of our implementation