A Status Data Transmitting System for Vessel Monitoring

This paper presents a status data transmitting system suitable for vessel monitoring. The system consists of four main parts, which are a status data module, a frequency synthesizer, a power amplifier and a horn antenna. The status data module packs information of the identification, longitude, latitude and state of the vessel into data frames. FSK/MSK/GMSK schemes were used to modulate the data. The frequency synthesizer was designed with very high stability over temperature and very low frequency tolerance. The power amplifier provides 130 W output power at S band. The impedance bandwidth of the horn antenna can be controlled using the beveling technique

STUDENTS' PERCEPTION OF THE INFLUENCE OF INTONATION IN ENGLISH ON CONVEYING THE MEANING OF SPEECH IN COMMUNICATION

In communication, intonation plays an important role in conveying the meaning of a speech. In this article, we study students' perception of the influence of intonation in conveying the meaning of speech in communication to propose solutions to help students overcome intonation errors when communicating, as well as, help teachers have appropriate intonation teaching methods. Our data and analysis are based on research documents, surveys, and in-depth interviews with students. According to the study results, most students are well aware of the importance of intonation and of the factors affecting intonation, and they are also aware of the causes of intonation errors. However, students do not apply their knowledge of intonation to speech, they stop at the cognitive level. The study indicates that students often make intonation mistakes in Tag-question, Wh-question, and Imperative sentence in communication.  Article visualizations

Study on structure of the Earth’s crust in Thua Thien-Hue province and adjacent areas by using gravity and magnetic data in combination

This paper presents the structural characteristics of the Earth’s crust in Thua Thien-Hue province and adjacent area based on interpretation of gravity and magnetic data in combination. Research results have shown that: The depth of crystalline basement varies complicatedly, in the range of 0–11 km. The depth of Conrad surface increases from Northeast (12 km) to Southwest (18 km) and the depth of Moho surface is 23–34 km; The density of sedimentary layer changes from 2.61 g/cm3 to 2.65 g/cm3. Meanwhile, the density of granitic layer is in the range of 2.68–2.73 g/cm3. The basaltic layer has the density value of 2.88–2.93 g/cm3 and the average density of lower layer of the Earth’s crust is about 3.30 g/cm3; The depth of second-order faults, Red River and A Luoi - Rao Quan, is through the Earth’s crust. Meanwhile, the depth of influence of third-order faults, Chay river, Dong Ha - Phu Vang, Vinh Linh, Hue - Son Tra and Tam Ky - Phuoc Son, is within the thickness of the Earth’s crust

preliminary remarks on assembly whole genome sequencing of mdr m tuberculosis isolated in vietnam

This item has no abstract. Follow the links below to access the full text

Molecular characterization of influenza A(H1N1)pdm09 virus circulating during the 2009 outbreak in Thua Thien Hue, Vietnam

Introduction: The influenza A(H1N1)pdm09 virus arrived in Vietnam in May 2009 via the United States and rapidly spread throughout the country. This study provides data on the viral diagnosis and molecular epidemiology of influenza A(H1N1)pdm09 virus isolated in Thua Thien Hue Province, central Vietnam. Methodology: Nasopharyngeal swabs and throat swabs from 53 clinically infected patients in the peak of the outbreak were processed for viral diagnosis by culture and RT-PCR. Sequencing of entire HA and NA genes of representative isolates and molecular epidemiological analysis were performed. Results: A total of 32 patients were positive for influenza A virus by virus culture and/or RT-PCR; of these 22 were positive both by viral isolation and RT-PCR, 2 only by virus culture and 8 only by RT-PCR. The novel subtype of influenza A(H1N1)pdm09 was present in 93.4% of the isolates. Phylogenetic analysis of the HA and NA gene sequences showed identities higher than 99.50% in both genes. They were also similar to reference isolates in HA sequences (&gt; 99% identity) and in NA sequences (6gt;98.50% identity). Amino acid sequences predicted for the HA gene were highly identical to reference strains. The NA amino acid substitutions identified did not include the oseltamivir-resistant H275Y substitution. Conclusion: viral isolation and RT-PCR together were useful for diagnosis of the influenza A(H1N1)pdm09 virus. Variations in HA and NA sequences are similar to those identified in worldwide reference isolates and no drug resistance was found.</br

Is genital tract infection related to tubal diseases in infertile Vietnamese women?

Introduction: The goal of this study was to identify the profile of genital tract infections and their relationship with clinical and demographic parameters as well as tubal diseases among infertile women in Vietnam. Methodology: In this cross-sectional descriptive study, we enrolled 597 women undergoing infertility treatment at the Center for Reproductive Endocrinology & Infertility, Hue University Hospital, Vietnam. All of the study participants were interviewed and examined by a gynecologist. Consecutive tests were then conducted including direct microscopy examination (wet mount and Gram stain), vaginal culture, polymerase chain reaction (PCR) for chlamydia diagnosis from a cervical canal swab, and a blood test for syphilis detection. A hysterosalpingogram (HSG) was carried out to examine the uterine cavity and Fallopian tubes. Results: A gynecologic infection was diagnosed in 43.4% (259/597) of the infertile women. Bacterial vaginosis was the most common condition at 19.6% of the cases. Candida spp., Chlamydia trachomatis, and Trichomonas vaginalis infections accounted for 17.4%, 3.7%, and 0.3%, respectively. Normal HSG results accounted for 87.4% of the women while 5.5% had 2-sided tubal occlusions, 5.4% had 1-sided tubal occlusions, 1.0% had 1-sided hydrosalpinx, and 0.7% had 2-sided hydrosalpinx. There was no significant association between tubal diseases and current infections; however, aerobic vaginitis increased the risk of tubal diseases by 2.4 times. Conclusions: A marked proportion of infertile Vietnamese women have genital tract infections that can significantly influence their reproductive function and performance. These infections should be routinely screened and treated properly to prevent their consequences, such as infertility, which is especially important in developing countries.Peer reviewe

The Three Pillars of Machine Programming

In this position paper, we describe our vision of the future of machine programming through a categorical examination of three pillars of research. Those pillars are:(i) intention,(ii) invention, and (iii) adaptation. Intention emphasizes advancements in the human-to-computer and computer-to-machine-learning interfaces. Invention emphasizes the creation or refinement of algorithms or core hardware and software building blocks through machine learning (ML). Adaptation emphasizes advances in the use of ML-based constructs to autonomously evolve software

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License