Publications by authors named "Dung H M Nguyen"

Article Synopsis
  • The gaur, an endangered species in Thailand, has seen a population increase from 35 to 300 individuals in the Khao Phaeng Ma Non-Hunting Area, but this growth has sparked conflicts with nearby villagers.
  • Researchers analyzed mitochondrial DNA samples from GPS-collared gaurs, discovering three haplotypes that indicate low genetic diversity, suggesting limited maternal lineages within the population.
  • Findings from genetic tests indicate that the gaur population may face future contraction, highlighting the need for informed management strategies to promote long-term sustainability.
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The African catfish () may exhibit the co-existence of XX/XY and ZZ/ZW sex-determination systems (SDSs). However, the SDS of African catfish might be influenced by a polygenic sex-determination (PSD) system, comprising multiple independently segregating sex "switch" loci to determine sex within a species. Here, we aimed to detect the existence of PSD using hybrid.

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An investigation of sex-specific loci may provide important insights into fish sex determination strategies. This may be useful for biotechnological purposes, for example, to produce all-male or all-female fish for commercial breeding. The North African catfish species, , has been widely adopted for aquaculture because its superior growth and disease resistance render the species suitable for hybridization with other catfish to improve the productivity and quality of fish meat.

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Objective: This paper presents an automated system for classifying the results of imaging examinations (CT, MRI, positron emission tomography) into reportable and non-reportable cancer cases. This system is part of an industrial-strength processing pipeline built to extract content from radiology reports for use in the Victorian Cancer Registry.

Materials And Methods: In addition to traditional supervised learning methods such as conditional random fields and support vector machines, active learning (AL) approaches were investigated to optimize training production and further improve classification performance.

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Objective: Information extraction and classification of clinical data are current challenges in natural language processing. This paper presents a cascaded method to deal with three different extractions and classifications in clinical data: concept annotation, assertion classification and relation classification.

Materials And Methods: A pipeline system was developed for clinical natural language processing that includes a proofreading process, with gold-standard reflexive validation and correction.

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