40 research outputs found
Exploiting approximation, caching and specialization to accelerate vision sensing applications
Whole-genome sequencing of three local rice varieties (Oryza sativa L.) in Vietnam
Recently, a new technology, Next-generation sequencing (NGS) has been launched and providing whole-genome sequences that helps identify molecular markers across the genome. DNA markers such as single nucleotides and insertion – deletion (InDel) polymorphisms were widely used for plant breeding particularly to distinguish important traits in rice. These PCR-based markers can be used for the precision detection of polymorphisms. Moreover, PCR-based approaches are simple and effective methods for dealing with the issue of fraudulent labeling and adulteration in the global rice industry. In this study, three local varieties of Oryza sativa L. in Vietnam were sequenced with up to ten times genome depth and at least four times coverage (~83%) using the Illumina HiSeq2000™ system, with an average of 6.5 GB clean data per sample, generated after filtering low-quality data. The data was approximately mapped up to 95% to the reference genome IRGSP 1.0. The results obtained from this study will contribute to a wide range of valuable information for further investigation into this germplasm
DeepSense: A GPU-based deep convolutional neural network framework on commodity mobile devices
STUDENTS’ OPINIONS ON VOCATIONAL GUIDANCE: A CASE STUDY
The problem of employment is always a crucial problem and is the concern of most parents and school students. The survey on the perception of 40 students about vocational guidance was carried out in Nguyen Viet Dung High School in Can Tho City, Vietnam. Results show that students are very concerned about their future career; students have a proper perception of vocational guidance and recognize well factors which affect their career choice. Article visualizations
A SURVEY OF STUDENTS’ ABILITY OF IDENTIFYING ERRORS IN WRONG SOLUTIONS FOR THE MATHEMATICAL PROBLEMS RELATED TO THE MONOTONICITY OF FUNCTIONS
The monotonicity of a function plays an important role in the general mathematics curriculum in Vietnam, because it is considered as an effective tool for solving mathematical problems involved with the monotonic intervals of functions, their extreme, absolute maximum value and absolute minimum value. Normally, students commit errors in solving these problems because of their complexity and difficulty. In addition, specific characteristics of knowledge also make children make mistakes. The sample consisted of 362 students, and they had the task of identifying errors in false assumptions. From the results of the survey, it was found that when dealing with the monotonicity of the functions, students were still misled. Article visualizations
Genetic variation of Nang Thom Cho Dao rice variety based on whole genome sequencing
High-performance sequences are generating increasingly comprehensive catalogs of crop genetic variation. To make optimal use of this vast collection of data for research purposes, a robust and reproducible analytical pipeline discipline is required that is capable of accurately detecting and favoring variants. The entire genome sequencing data from the rice variety Nang Thom Cho Dao was analyzed using the appropriate bioinformatic pipeline. A total of 21 million reads with 6,6 GB of data were analyzed. SNPs and indels from the Nang Thom Cho Dao genome were found to be variable when compared to the Nipponbare reference rice genome. The result showed that the novel Indel of BADH2 gene in Nang Thom Cho Dao genome. The study will contribute valuable information to the development of genetic markers for rice breeding strategies using Nang Thom Cho Dao rice varieties