Four novel mutations in the androgen receptor gene from Vietnamese patients with androgen insensitivity syndrome

Nguyen Thu Hien,Nguyen Duc Quan,Kim Lien Nguyen Thi,Thi Thanh Ngan Nguyen,Nguyen Thi Phuong Mai,Tran Ngoc Dung,Nguyen Huy Hoang 한국유전학회 2023 Genes & Genomics Vol.45 No.4

Background Androgens and androgen receptor (AR) are critical regulators of the masculinization process in male sexual development. The absence of a functioning AR results in the development of the androgen insensitivity syndrome (AIS), a rare disorder of sexual development (DSD) characterized by the external genitalia feminization, gynecomastia, and impaired spermatogenesis. Objective To determine the AR gene mutations associated with male DSD in four unrelated Vietnamese patients. Methods To detect the disease-causing mutations, whole exome sequencing (WES) was performed on four patients diagnosed with AIS. Sanger sequencing was then used for validation of the identified mutations. Finally, 12 web-based tools, three-dimensional protein modeling software, and the guidelines issued by the American College of Medical Genetics and Genomics were used to assess the potential pathogenicity of these mutations. Results Four distinct novel mutations, namely c.1834T > A (p.Cys612Ser), c.2122 C > G (p.Leu708Val), c.2630T > G (p.Phe877Cys), and c.2641 C > A (p.Leu881Met) in the AR gene, were identified in four AIS patients using WES. The in silico analysis results revealed that the Cys612, Leu708, Phe877, and Leu881 sites are important for an appropriate response to androgens of the AR, and mutation at these sites can have adverse effects on the AR functions, androgen–AR interaction, and AR signaling pathway. Conclusions WES and in silico analyses strongly suggested that four novel AR mutations are pathogenic and have led to the development of AIS in the four Vietnamese patients under consideration.

Effect of salicylic acid and yeast extract on curcuminoids biosynthesis gene expression and curcumin accumulation in cells of Curcuma zedoaria

Nguyen Hoang Loc,Truong Thi Phuong Lan,Nguyen Duc Huy,Nguyen Ngoc Luong,Hoang Tan Quang,Trinh Huu Tan,Le Thi Anh Thu,Nguyen Xuan Huy 한국식물생명공학회 2019 JOURNAL OF PLANT BIOTECHNOLOGY Vol.46 No.3

The aim of this study is to evaluate the effect of yeast extract (YE) and salicylic acid (SA) on the expression of curcuminoid-biosynthesis genes (CzDCS and CURS1-3), and accumulation of curcumin in Curcuma zedoaria cell cultures. The results showed that, in cells treated with YE or SA, the expression levels of curcuminoid genes were 1.14- to 3.64-fold higher than the control (untreated cells), in which the YE exhibited a stronger effect in comparison with SA. Curcumin accumulation also tended to be similar to gene expression, curcumin contents in YE- or SA-treated cells were 1.61- to 2.53-fold higher than the control. The SA treatment at the fifth day of culture stimulated the curcumin accumulation and expression in all four genes compared to that at the beginning. While the YE treatments gave different results, the CzCURS1 and CzCURS3 genes were expressed strongly in cells that were treated at the beginning. However, the CzDCS and CzCURS2 genes showed the opposite expression pattern, they were activated strongly in the treatments at day five of the culture. However, the content of curcumin reached its maximum value on the fifth day of culture in all investigations.

Genetic diversity of spotted scat (Scatophagus argus) in Vietnam based on COI genes

Huy Van Nguyen,Minh Tu Nguyen,Nghia Duc Vo,Nguyen Thi Thao Phan,Quang Tan Hoang 한국수산과학회 2022 Fisheries and Aquatic Sciences Vol.25 No.12

A spotted scat, Scatophagus argus, has a high nutritional value and is among Asia’s most widely consumed fish species. Thua Thien Hue’s consumption market considers this species to be of high economic value and requires protection and conservation of the population. However, the studies on the identification and genetic diversity of S. argus distributed in Vietnam are still lacking. Therefore, mitochondrial cytochrome c oxidase subunit I (COI) gene was utilized to distinguish different populations and investigate the genetic diversity of two populations of S. argus from Tam Giang lagoon, Thua Thien Hue province (n = 31) and Ca Mau province (n = 14). The sequencing results indicated 13 distinct haplotypes among 45 sequences. Five single nucleotide polymorphisms were observed to distinguish Hue spotted scat population. The S. argus population in Ca Mau province was higher haplotype diversity (Hd) and nucleotide diversity (π) than those of Thua Thien Hue province, which demonstrates that there are minor differences between haplotypes. There were genetic distances ranging from 0%–4% within the populations and 6.67% between the two populations. In addition to the sequencing, the comparison of morphology, biology, culture, and the growth rate was sufficient to distinguish the spotted scat S. argus in Thua Thien Hue from Ca Mau.

An Effective Orientation-based Method and Parameter Space Discretization for Defined Object Segmentation

( Huy Hoang Nguyen ),( Gueesang Lee ),( Soohyung Kim ),( Hyungjeong Yang ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.12

While non-predefined object segmentation (NDOS) distinguishes an arbitrary self-assumed object from its background, predefined object segmentation (DOS) pre-specifies the target object. In this paper, a new and novel method to segment predefined objects is presented, by globally optimizing an orientation-based objective function that measures the fitness of the object boundary, in a discretized parameter space. A specific object is explicitly described by normalized discrete sets of boundary points and corresponding normal vectors with respect to its plane shape. The orientation factor provides robust distinctness for target objects. By considering the order of transformation elements, and their dependency on the derived over-segmentation outcome, the domain of translations and scales is efficiently discretized. A branch and bound algorithm is used to determine the transformation parameters of a shape model corresponding to a target object in an image. The results tested on the PASCAL dataset show a considerable achievement in solving complex backgrounds and unclear boundary images.

Healthcare Workers’ Knowledge and Attitudes Regarding the World Health Organization’s “My 5 Moments for Hand Hygiene”: Evidence From a Vietnamese Central General Hospital

Huy Van Nguyen,Hieu Trung Tran,Long Quynh Khuong,Thanh Van Nguyen,Na Thi Nhi Ho,An Thi Minh Dao,Minh Van Hoang 대한예방의학회 2020 예방의학회지 Vol.53 No.4

Objectives: Although the World Health Organization (WHO) initiative “My 5 Moments for Hand Hygiene” has been lauded as effective in preventing hospital-associated infections, little is known about healthcare workers (HCWs)’ hand hygiene behavior. In this study, we sought to assess knowledge and attitudes towards the concepts in this initiative, as well as associated factors, among Vietnamese HCWs at a general hospital. Methods: A structured questionnaire was administered to HCWs at a central Vietnamese general hospital in 2015. Multiple logistic regression analysis was used to identify factors associated with HCWs’ knowledge and attitudes towards hand hygiene. Results: Of 120 respondents, 65.8% and 67.5% demonstrated appropriate knowledge and a positive attitude, respectively, regarding all 5 hand hygiene moments. Logistic regression indicated better knowledge of hand hygiene in workers who were over 30 years old, who were direct HCWs (rather than managers), who had frequent access to clinical information, and who received their clinical information from training. Those who worked in infectious and tropical disease wards, who had frequent access to clinical information, and who received information from training were more likely to have a positive attitude towards hand hygiene than their counterparts. Conclusions: Although many Vietnamese HCWs displayed moderate knowledge and positive attitudes towards the WHO hand hygiene guidelines, a key gap remained. Regular education and training programs are needed to increase knowledge and to improve attitudes and practices towards hand hygiene. Furthermor

Raman spectroscopy of Cu doping in Zn_1−xCo_xO diluted magnetic semiconductor

Hoang, Luc Huy,Hien, Nguyen Thi Minh,Hai, Nguyen Hoang,Hai, Pham Van,Khoi, Nguyen The,Yang, In-Sang John Wiley Sons, Ltd. 2009 JOURNAL OF RAMAN SPECTROSCOPY - Vol.40 No.11

<P>The room-temperature ferromagnetism and the Raman spectroscopy of the Cu-doped Zn<SUB>1−x</SUB>Co<SUB>x</SUB>O powders prepared by the sol–gel method are reported. The x-ray diffraction (XRD) data confirmed that the wurtzite structure of ZnO is maintained for ZnO doped with Co below 10 at%. The magnetization–field curves measured at room temperature demonstrated that all Co-doped ZnO powders were paramagnetic. Ferromagnetic ordering is observed for the samples doped with Cu in Zn<SUB>0.98</SUB>Co<SUB>0.02</SUB>O and strongly depends on the concentration of Cu. The relative strength of the second-order LO peak to the first-order one in the Raman spectra, which is related to the carrier concentration, of the Cu-doped Zn<SUB>0.98</SUB>Co<SUB>0.02</SUB>O powder is strongly correlated with the saturation magnetic moment of the system. This seems to be in favor of the Ruderman-Kittel-Kasuya-Yosida (RKKY) or double exchange mechanism of the ferromagnetism in this system. Copyright © 2009 John Wiley & Sons, Ltd.</P> <B>Graphic Abstract</B> <P>The room-temperature ferromagnetism and the Raman spectroscopy data of Cu-doped Zn<SUB>1−x</SUB>Co<SUB>x</SUB>O powders prepared by the sol–gel method are reported. The relative strength of the second-order LO peak to the first-order one in the Raman spectra, which is related to the carrier concentration, of Cu-doped Zn<SUB>0.98</SUB>Co<SUB>0.02</SUB>O powder is strongly correlated with the saturation magnetic moment of the system. <img src='wiley_img/03770486-2009-40-11-JRS2295-gra001.gif' alt='wiley_img/03770486-2009-40-11-JRS2295-gra001'> </P>

A Combination of Independent Component Analysis, Relative Wavelet Energy, and Support Vector Machine for Mental State Classification

Hoang-Anh T. Nguyen,Huy-Hoang Tran,Thang T. Vu,T.T. Quyen Bui 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10

Mental state classification is an important step for realizing a control system based on electroencephalography (EEG) signals which could benefit a lot of paralyzed people including the locked-in or Amyotrophic Lateral Sclerosis. Considering that EEG signals are nonstationary and often contaminated by various types of artifacts, classifying thoughts into correct mental states is not a trivial problem. In this work, our contribution is that we present and realize a novel model which integrates different techniques: Independent component analysis (ICA), relative wavelet energy, and support vector machine (SVM) for the same task. We applied our model to classify thoughts in two types of experiment whether with two or three mental states. The experimental results show that the presented model outperforms other models using Artificial Neural Network, K-Nearest Neighbors, etc.

Autogenous Healing of Alkali-activated Slag Composites Reinforced by PVA-PE Hybrid Fibers

Nguyen, Huy Hoang(웅엔 홍 후이),Park, Se-Eon(박세언),Lee, Bang Yeon(이방연) 한국콘크리트학회 2023 한국콘크리트학회 학술대회 논문집 Vol.35 No.1

PSI-rooted subgraph: A novel feature for IoT botnet detection using classifier algorithms

Huy-Trung Nguyen,Quoc-Dung Ngo,Doan-Hieu Nguyen,Van-Hoang Le 한국통신학회 2020 ICT Express Vol.6 No.2

It is obvious that IoT devices are widely used more and more in many areas. However, due to limited resources (e.g., memory, CPU), the security mechanisms on many IoT devices such as IP-Camera, router are low. Therefore, botnets are an emerging threat to compromise IoT devices recently. To tackle this, a novel method for IoT botnets detection plays a crucial role. In this paper, we have some contributions for IoT botnet detection: first, we present a novel high-level PSI-rooted subgraph-based feature for the detection of IoT botnets; second, we generate a limited number of features that have precise behavioral descriptions, which require smaller space and reduce processing time; third, The evaluation results show the effectiveness and robustness of PSI-rooted subgraph-based features, as with five machine classifiers consisting of Random Forest, Decision Tree, Bagging, k-Nearest Neighbor, and Support Vector Machine, each classifier achieves more than 97% detection rate and low time-consuming. Moreover, compared to other work, our proposed method obtains better performance. Finally, we publicize all our materials on Github, which will benefit future research (e.g., IoT botnet detection approach).

Research Articles : Trichoderma asperellum Chi42 Genes Encode Chitinase

( Nguyen Hoang Loc ),( Hoang Tan Quang ),( Nguyen Bao Hung ),( Nguyen Duc Huy ),( Truong Thi Bich Phuong ),( Tran Thi Thu Ha ) 한국균학회 2011 韓國菌學會誌 Vol.39 No.3

Four Trichoderma strains (CH2, SH16, PQ34, and TN42) were isolated from soil samples collected from Quang Tri and Thua Thien Hue provinces in Vietnam. The strains exhibited high chitinolytic secretion. Strain PQ34 formed the largest zone of chitinase-mediated clearance (> 4 cm in diameter) in agar containing 1% (w/v) colloidal chitin. Analysis of the internal transcribed spacer regions of these strains indicated that they were Trichoderma asperellum. The molecular weights of the chitinases were approximately 42 kDa. Chitinase genes (chi42) of T. asperellum strains TN42, CH2, SH16, and PQ34 were 98~99% homologous to the ech42 gene of T. harzianum CB-Pin-01 (accession No. DQ166036). The deduced amino acid sequences of both T. asperellum strains SH16 and TN42 shared 100% similarity.